{"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]ORP (n = 9)RALP (n = 24)Total (n = 33)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]60 (7)63 (6)62 (6)
[EMPTY_CELL]1.76 (0.07)1.75 (0.05)1.75 (0.06)
[EMPTY_CELL]92 (12)83 (10)86 (11)
[EMPTY_CELL]29.6 (4.5)27.3 (3.0)27.9 (3.6)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]5.8 (4.2)5.0 (2.1)5.2 (2.8)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]1 (11%)5 (21%)6 (18%)
[EMPTY_CELL]5 (56%)16 (67%)21 (64%)
[EMPTY_CELL]3 (33%)2 (9%)5 (15%)
[EMPTY_CELL]0 (0%)1 (4%)1 (3%)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]4 (44%)13 (54%)17 (52%)
[EMPTY_CELL]5 (56%)11 (46%)16 (48%)
[EMPTY_CELL]0 (0%)0 (0%)0 (0%)
[EMPTY_CELL]0 (0%)0 (0%)0 (0%)
[EMPTY_CELL]40.2 (13.4)41.2 (12.5)40.9 (12.6)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]3 (33%)3 (13%)6 (18%)
[EMPTY_CELL]2 (22%)2 (9%)4 (12%)
[EMPTY_CELL]4 (44%)19 (79%)23 (70%)
[EMPTY_CELL]7 (78%)2 (9%)a9 (27%)
[EMPTY_CELL]0 (0%)23 (96%)a23 (70%)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]1 (11%)3 (13%)4 (12%)
[EMPTY_CELL]6 (67%)16 (67%)22 (67%)
[EMPTY_CELL]2 (22%)5 (21%)7 (21%)
[EMPTY_CELL]0 (0%)0 (0%)0 (0%)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]6 (67%)18 (75%)24 (73%)
[EMPTY_CELL]3 (33%)6 (25%)9 (27%)
[EMPTY_CELL]0 (0%)0 (0%)0 (0%)
[EMPTY_CELL]1/7 (14%)0/2 (0%)1/9 (11%)
[EMPTY_CELL]2 (22%)2 (9%)4 (12%)
[EMPTY_CELL]2.9 (0.3)2.0 (0.2)a2.3 (0.5)
[EMPTY_CELL]10.2 (3.0)8.4 (1.6)8.9 (2.2)
[EMPTY_CELL]0 (0%)1 (4%)1 (3%)
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"ORP (n = 9)\", \"bbox\": [212, 4, 253, 13]}, {\"cell\": \"RALP (n = 24)\", \"bbox\": [321, 4, 369, 13]}, {\"cell\": \"Total (n = 33)\", \"bbox\": [436, 4, 484, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 70, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 31, 36, 41]}, {\"cell\": \"60 (7)\", \"bbox\": [212, 31, 232, 41]}, {\"cell\": \"63 (6)\", \"bbox\": [321, 31, 341, 41]}, {\"cell\": \"62 (6)\", \"bbox\": [436, 31, 456, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 45, 45, 55]}, {\"cell\": \"1.76 (0.07)\", \"bbox\": [212, 45, 247, 55]}, {\"cell\": \"1.75 (0.05)\", \"bbox\": [321, 45, 355, 55]}, {\"cell\": \"1.75 (0.06)\", \"bbox\": [436, 45, 470, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 59, 48, 69]}, {\"cell\": \"92 (12)\", \"bbox\": [212, 59, 236, 69]}, {\"cell\": \"83 (10)\", \"bbox\": [321, 59, 344, 69]}, {\"cell\": \"86 (11)\", \"bbox\": [436, 59, 460, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 71, 49, 83]}, {\"cell\": \"29.6 (4.5)\", \"bbox\": [212, 73, 243, 83]}, {\"cell\": \"27.3 (3.0)\", \"bbox\": [321, 73, 351, 83]}, {\"cell\": \"27.9 (3.6)\", \"bbox\": [436, 73, 467, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 87, 66, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 101, 43, 111]}, {\"cell\": \"5.8 (4.2)\", \"bbox\": [212, 101, 239, 111]}, {\"cell\": \"5.0 (2.1)\", \"bbox\": [321, 101, 347, 111]}, {\"cell\": \"5.2 (2.8)\", \"bbox\": [436, 101, 463, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 115, 89, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 129, 26, 139]}, {\"cell\": \"1 (11%)\", \"bbox\": [212, 129, 238, 139]}, {\"cell\": \"5 (21%)\", \"bbox\": [321, 129, 346, 139]}, {\"cell\": \"6 (18%)\", \"bbox\": [436, 129, 462, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 143, 26, 153]}, {\"cell\": \"5 (56%)\", \"bbox\": [212, 143, 238, 153]}, {\"cell\": \"16 (67%)\", \"bbox\": [321, 143, 350, 153]}, {\"cell\": \"21 (64%)\", \"bbox\": [436, 143, 466, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 157, 26, 167]}, {\"cell\": \"3 (33%)\", \"bbox\": [212, 157, 238, 167]}, {\"cell\": \"2 (9%)\", \"bbox\": [321, 157, 343, 167]}, {\"cell\": \"5 (15%)\", \"bbox\": [436, 157, 462, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 171, 26, 181]}, {\"cell\": \"0 (0%)\", \"bbox\": [212, 171, 234, 181]}, {\"cell\": \"1 (4%)\", \"bbox\": [321, 171, 343, 181]}, {\"cell\": \"1 (3%)\", \"bbox\": [436, 171, 458, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 185, 71, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 199, 21, 209]}, {\"cell\": \"4 (44%)\", \"bbox\": [212, 199, 238, 209]}, {\"cell\": \"13 (54%)\", \"bbox\": [321, 199, 350, 209]}, {\"cell\": \"17 (52%)\", \"bbox\": [436, 199, 466, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 213, 21, 223]}, {\"cell\": \"5 (56%)\", \"bbox\": [212, 213, 238, 223]}, {\"cell\": \"11 (46%)\", \"bbox\": [321, 213, 350, 223]}, {\"cell\": \"16 (48%)\", \"bbox\": [436, 213, 466, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 227, 21, 237]}, {\"cell\": \"0 (0%)\", \"bbox\": [212, 227, 234, 237]}, {\"cell\": \"0 (0%)\", \"bbox\": [321, 227, 343, 237]}, {\"cell\": \"0 (0%)\", \"bbox\": [436, 227, 458, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 241, 21, 251]}, {\"cell\": \"0 (0%)\", \"bbox\": [212, 241, 234, 251]}, {\"cell\": \"0 (0%)\", \"bbox\": [321, 241, 343, 251]}, {\"cell\": \"0 (0%)\", \"bbox\": [436, 241, 458, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 255, 68, 265]}, {\"cell\": \"40.2 (13.4)\", \"bbox\": [212, 255, 247, 265]}, {\"cell\": \"41.2 (12.5)\", \"bbox\": [321, 255, 355, 265]}, {\"cell\": \"40.9 (12.6)\", \"bbox\": [436, 255, 470, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 269, 70, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 283, 47, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 297, 28, 307]}, {\"cell\": \"3 (33%)\", \"bbox\": [212, 297, 238, 307]}, {\"cell\": \"3 (13%)\", \"bbox\": [321, 297, 346, 307]}, {\"cell\": \"6 (18%)\", \"bbox\": [436, 297, 462, 307]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 311, 49, 321]}, {\"cell\": \"2 (22%)\", \"bbox\": [212, 311, 238, 321]}, {\"cell\": \"2 (9%)\", \"bbox\": [321, 311, 343, 321]}, {\"cell\": \"4 (12%)\", \"bbox\": [436, 311, 462, 321]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 325, 52, 335]}, {\"cell\": \"4 (44%)\", \"bbox\": [212, 325, 238, 335]}, {\"cell\": \"19 (79%)\", \"bbox\": [321, 325, 350, 335]}, {\"cell\": \"23 (70%)\", \"bbox\": [436, 325, 466, 335]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 339, 96, 349]}, {\"cell\": \"7 (78%)\", \"bbox\": [212, 339, 238, 349]}, {\"cell\": \"2 (9%)a\", \"bbox\": [321, 337, 345, 349]}, {\"cell\": \"9 (27%)\", \"bbox\": [436, 339, 462, 349]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 353, 85, 363]}, {\"cell\": \"0 (0%)\", \"bbox\": [212, 353, 234, 363]}, {\"cell\": \"23 (96%)a\", \"bbox\": [321, 351, 353, 363]}, {\"cell\": \"23 (70%)\", \"bbox\": [436, 353, 466, 363]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 367, 69, 377]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 381, 93, 391]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 395, 26, 405]}, {\"cell\": \"1 (11%)\", \"bbox\": [212, 395, 238, 405]}, {\"cell\": \"3 (13%)\", \"bbox\": [321, 395, 346, 405]}, {\"cell\": \"4 (12%)\", \"bbox\": [436, 395, 462, 405]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 409, 26, 419]}, {\"cell\": \"6 (67%)\", \"bbox\": [212, 409, 238, 419]}, {\"cell\": \"16 (67%)\", \"bbox\": [321, 409, 350, 419]}, {\"cell\": \"22 (67%)\", \"bbox\": [436, 409, 466, 419]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 423, 26, 433]}, {\"cell\": \"2 (22%)\", \"bbox\": [212, 423, 238, 433]}, {\"cell\": \"5 (21%)\", \"bbox\": [321, 423, 346, 433]}, {\"cell\": \"7 (21%)\", \"bbox\": [436, 423, 462, 433]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 437, 26, 447]}, {\"cell\": \"0 (0%)\", \"bbox\": [212, 437, 234, 447]}, {\"cell\": \"0 (0%)\", \"bbox\": [321, 437, 343, 447]}, {\"cell\": \"0 (0%)\", \"bbox\": [436, 437, 458, 447]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 451, 87, 461]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 465, 22, 475]}, {\"cell\": \"6 (67%)\", \"bbox\": [212, 465, 238, 475]}, {\"cell\": \"18 (75%)\", \"bbox\": [321, 465, 350, 475]}, {\"cell\": \"24 (73%)\", \"bbox\": [436, 465, 466, 475]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 479, 22, 489]}, {\"cell\": \"3 (33%)\", \"bbox\": [212, 479, 238, 489]}, {\"cell\": \"6 (25%)\", \"bbox\": [321, 479, 346, 489]}, {\"cell\": \"9 (27%)\", \"bbox\": [436, 479, 462, 489]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 493, 22, 503]}, {\"cell\": \"0 (0%)\", \"bbox\": [212, 493, 234, 503]}, {\"cell\": \"0 (0%)\", \"bbox\": [321, 493, 343, 503]}, {\"cell\": \"0 (0%)\", \"bbox\": [436, 493, 458, 503]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 507, 71, 517]}, {\"cell\": \"1/7 (14%)\", \"bbox\": [212, 507, 245, 517]}, {\"cell\": \"0/2 (0%)\", \"bbox\": [321, 507, 349, 517]}, {\"cell\": \"1/9 (11%)\", \"bbox\": [436, 507, 469, 517]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 521, 55, 531]}, {\"cell\": \"2 (22%)\", \"bbox\": [212, 521, 238, 531]}, {\"cell\": \"2 (9%)\", \"bbox\": [321, 521, 343, 531]}, {\"cell\": \"4 (12%)\", \"bbox\": [436, 521, 462, 531]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 535, 138, 545]}, {\"cell\": \"2.9 (0.3)\", \"bbox\": [212, 535, 239, 545]}, {\"cell\": \"2.0 (0.2)a\", \"bbox\": [321, 533, 350, 545]}, {\"cell\": \"2.3 (0.5)\", \"bbox\": [436, 535, 463, 545]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 549, 145, 559]}, {\"cell\": \"10.2 (3.0)\", \"bbox\": [212, 549, 243, 559]}, {\"cell\": \"8.4 (1.6)\", \"bbox\": [321, 549, 347, 559]}, {\"cell\": \"8.9 (2.2)\", \"bbox\": [436, 549, 463, 559]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 563, 67, 573]}, {\"cell\": \"0 (0%)\", \"bbox\": [212, 563, 234, 573]}, {\"cell\": \"1 (4%)\", \"bbox\": [321, 563, 343, 573]}, {\"cell\": \"1 (3%)\", \"bbox\": [436, 563, 458, 573]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4219599_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
PrimerSequence (5’-3’)SegmentPolarity
Han-5’end-EcoRICTC GAA TTC TAG TAG TAG ACS[EMPTY_CELL]
Shrew-S777RAAN CCD ATN ACN CCC ATS[EMPTY_CELL]
Shrew-S764RCCA TNA CWG GRC TNA TCAS[EMPTY_CELL]
XSV-S627FAGA AGA ATT GAC ACC TGG GCG ATS[EMPTY_CELL]
XSV-S1040FCAT TCT TTT CAC TGT TGC AGG AS[EMPTY_CELL]
XSV-S1235RGTT CTT CTG AGA TAT GAC TGA TAS[EMPTY_CELL]
Bat-3’endRTAG TAG TAK RCT CCC TS[EMPTY_CELL]
G2F1TGG GCT GCA AGT GCM[EMPTY_CELL]
Han-M2957RGAR CCC CAN GCN CCN TCW ATM[EMPTY_CELL]
Han-M2631RCAT NAY RTC NCC RGG RTC NCCM[EMPTY_CELL]
Han-L1880FCAR AAR ATG AAR NTN TGT GCL[EMPTY_CELL]
Bat-L1929FATG AAR NTN TGT GCA YTG TTT GAL[EMPTY_CELL]
Han-L2520FATN WGH YTD AAR GGN ATG TCN GGL[EMPTY_CELL]
Bat-L2810FGAR GAY TAY TAT GAT GL[EMPTY_CELL]
Han-L3000RGCN GAR TTR TCN CCN GGN GAC CAL[EMPTY_CELL]
Han-L2970RCCN GGN GAC CAY TTN GTD GCA TCL[EMPTY_CELL]
MOYV-L2683RGCT GGA TAA CAG TCG GGT TTA ATCL[EMPTY_CELL]
MOYV-L2612RTAA GTG CCC ATC TTC TTG TAL[EMPTY_CELL]
Bat-L3442RACC ART CWG AMC CAT CAT CL[EMPTY_CELL]
Bat-L3613RGTA GAG AGA AAC TCT GCA TTT GTL[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Primer\", \"bbox\": [33, 6, 69, 18]}, {\"cell\": \"Sequence (5’-3’)\", \"bbox\": [188, 2, 266, 19]}, {\"cell\": \"Segment\", \"bbox\": [362, 6, 404, 18]}, {\"cell\": \"Polarity\", \"bbox\": [420, 6, 460, 18]}, {\"cell\": \"Han-5’end-EcoRI\", \"bbox\": [11, 18, 91, 34]}, {\"cell\": \"CTC GAA TTC TAG TAG TAG AC\", \"bbox\": [140, 21, 307, 31]}, {\"cell\": \"S\", \"bbox\": [376, 21, 384, 31]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [436, 21, 444, 31]}, {\"cell\": \"Shrew-S777R\", \"bbox\": [19, 36, 83, 46]}, {\"cell\": \"AAN CCD ATN ACN CCC AT\", \"bbox\": [151, 36, 296, 46]}, {\"cell\": \"S\", \"bbox\": [376, 36, 384, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [437, 36, 442, 46]}, {\"cell\": \"Shrew-S764R\", \"bbox\": [19, 51, 83, 61]}, {\"cell\": \"CCA TNA CWG GRC TNA TCA\", \"bbox\": [147, 51, 301, 61]}, {\"cell\": \"S\", \"bbox\": [376, 51, 384, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [437, 51, 442, 61]}, {\"cell\": \"XSV-S627F\", \"bbox\": [23, 66, 79, 76]}, {\"cell\": \"AGA AGA ATT GAC ACC TGG GCG AT\", \"bbox\": [126, 66, 322, 76]}, {\"cell\": \"S\", \"bbox\": [376, 66, 384, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [436, 66, 444, 76]}, {\"cell\": \"XSV-S1040F\", \"bbox\": [20, 81, 82, 91]}, {\"cell\": \"CAT TCT TTT CAC TGT TGC AGG A\", \"bbox\": [133, 81, 315, 91]}, {\"cell\": \"S\", \"bbox\": [376, 81, 384, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [436, 81, 444, 91]}, {\"cell\": \"XSV-S1235R\", \"bbox\": [19, 96, 82, 106]}, {\"cell\": \"GTT CTT CTG AGA TAT GAC TGA TA\", \"bbox\": [128, 96, 319, 106]}, {\"cell\": \"S\", \"bbox\": [376, 96, 384, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [437, 96, 442, 106]}, {\"cell\": \"Bat-3’endR\", \"bbox\": [24, 108, 78, 124]}, {\"cell\": \"TAG TAG TAK RCT CCC T\", \"bbox\": [157, 111, 291, 121]}, {\"cell\": \"S\", \"bbox\": [376, 111, 384, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [437, 111, 442, 121]}, {\"cell\": \"G2F1\", \"bbox\": [37, 126, 64, 136]}, {\"cell\": \"TGG GCT GCA AGT GC\", \"bbox\": [164, 126, 283, 136]}, {\"cell\": \"M\", \"bbox\": [374, 126, 386, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [436, 126, 444, 136]}, {\"cell\": \"Han-M2957R\", \"bbox\": [19, 141, 83, 151]}, {\"cell\": \"GAR CCC CAN GCN CCN TCW AT\", \"bbox\": [138, 141, 310, 151]}, {\"cell\": \"M\", \"bbox\": [374, 141, 386, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [437, 141, 442, 151]}, {\"cell\": \"Han-M2631R\", \"bbox\": [19, 156, 83, 166]}, {\"cell\": \"CAT NAY RTC NCC RGG RTC NCC\", \"bbox\": [136, 156, 312, 166]}, {\"cell\": \"M\", \"bbox\": [374, 156, 386, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [437, 156, 442, 166]}, {\"cell\": \"Han-L1880F\", \"bbox\": [22, 171, 80, 181]}, {\"cell\": \"CAR AAR ATG AAR NTN TGT GC\", \"bbox\": [139, 171, 308, 181]}, {\"cell\": \"L\", \"bbox\": [376, 171, 385, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [436, 171, 444, 181]}, {\"cell\": \"Bat-L1929F\", \"bbox\": [23, 186, 79, 196]}, {\"cell\": \"ATG AAR NTN TGT GCA YTG TTT GA\", \"bbox\": [127, 186, 320, 196]}, {\"cell\": \"L\", \"bbox\": [376, 186, 385, 196]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [436, 186, 444, 196]}, {\"cell\": \"Han-L2520F\", \"bbox\": [22, 201, 80, 211]}, {\"cell\": \"ATN WGH YTD AAR GGN ATG TCN GG\", \"bbox\": [124, 201, 324, 211]}, {\"cell\": \"L\", \"bbox\": [376, 201, 385, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [436, 201, 444, 211]}, {\"cell\": \"Bat-L2810F\", \"bbox\": [23, 216, 79, 226]}, {\"cell\": \"GAR GAY TAY TAT GAT G\", \"bbox\": [155, 216, 292, 226]}, {\"cell\": \"L\", \"bbox\": [376, 216, 385, 226]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [436, 216, 444, 226]}, {\"cell\": \"Han-L3000R\", \"bbox\": [21, 231, 81, 241]}, {\"cell\": \"GCN GAR TTR TCN CCN GGN GAC CA\", \"bbox\": [126, 231, 321, 241]}, {\"cell\": \"L\", \"bbox\": [376, 231, 385, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [437, 231, 442, 241]}, {\"cell\": \"Han-L2970R\", \"bbox\": [21, 246, 81, 256]}, {\"cell\": \"CCN GGN GAC CAY TTN GTD GCA TC\", \"bbox\": [126, 246, 321, 256]}, {\"cell\": \"L\", \"bbox\": [376, 246, 385, 256]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [437, 246, 442, 256]}, {\"cell\": \"MOYV-L2683R\", \"bbox\": [13, 261, 89, 271]}, {\"cell\": \"GCT GGA TAA CAG TCG GGT TTA ATC\", \"bbox\": [123, 261, 324, 271]}, {\"cell\": \"L\", \"bbox\": [376, 261, 385, 271]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [437, 261, 442, 271]}, {\"cell\": \"MOYV-L2612R\", \"bbox\": [13, 276, 89, 286]}, {\"cell\": \"TAA GTG CCC ATC TTC TTG TA\", \"bbox\": [142, 276, 306, 286]}, {\"cell\": \"L\", \"bbox\": [376, 276, 385, 286]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [437, 276, 442, 286]}, {\"cell\": \"Bat-L3442R\", \"bbox\": [22, 291, 79, 301]}, {\"cell\": \"ACC ART CWG AMC CAT CAT C\", \"bbox\": [141, 291, 306, 301]}, {\"cell\": \"L\", \"bbox\": [376, 291, 385, 301]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [437, 291, 442, 301]}, {\"cell\": \"Bat-L3613R\", \"bbox\": [22, 306, 79, 316]}, {\"cell\": \"GTA GAG AGA AAC TCT GCA TTT GT\", \"bbox\": [127, 306, 320, 316]}, {\"cell\": \"L\", \"bbox\": [376, 306, 385, 316]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [437, 306, 442, 316]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4036548_009_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]Level of Effect
[EMPTY_CELL]MetricUnitsLowModerateLargeVery LargeExtreme
Energy costRelative perceived exertionBorg CR-10 score[EMPTY_CELL]2–34–56–78–10
BiomechanicalPostureREBA score + body map[EMPTY_CELL]2–34–78–1011–15
Localised pain and discomfortBorg CR-10 score0–1[EMPTY_CELL]4–56–78–10
ComfortGeneral wearableCRS score[EMPTY_CELL]5–89–1213–1617–20
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Level of Effect\", \"bbox\": [337, 5, 408, 17]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Metric\", \"bbox\": [104, 18, 138, 30]}, {\"cell\": \"Units\", \"bbox\": [193, 18, 220, 30]}, {\"cell\": \"Low\", \"bbox\": [252, 18, 275, 30]}, {\"cell\": \"Moderate\", \"bbox\": [287, 18, 334, 30]}, {\"cell\": \"Large\", \"bbox\": [345, 18, 375, 30]}, {\"cell\": \"Very Large\", \"bbox\": [387, 18, 443, 30]}, {\"cell\": \"Extreme\", \"bbox\": [454, 18, 496, 30]}, {\"cell\": \"Energy cost\", \"bbox\": [11, 38, 65, 50]}, {\"cell\": \"Relative perceived exertion\", \"bbox\": [79, 31, 163, 56]}, {\"cell\": \"Borg CR-10 score\", \"bbox\": [178, 31, 235, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [254, 38, 273, 50]}, {\"cell\": \"2–3\", \"bbox\": [301, 38, 320, 50]}, {\"cell\": \"4–5\", \"bbox\": [351, 38, 369, 50]}, {\"cell\": \"6–7\", \"bbox\": [406, 38, 425, 50]}, {\"cell\": \"8–10\", \"bbox\": [463, 38, 487, 50]}, {\"cell\": \"Biomechanical\", \"bbox\": [4, 76, 72, 88]}, {\"cell\": \"Posture\", \"bbox\": [103, 63, 138, 75]}, {\"cell\": \"REBA score + body map\", \"bbox\": [173, 57, 240, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 63, 267, 75]}, {\"cell\": \"2–3\", \"bbox\": [301, 63, 320, 75]}, {\"cell\": \"4–7\", \"bbox\": [351, 63, 369, 75]}, {\"cell\": \"8–10\", \"bbox\": [403, 63, 427, 75]}, {\"cell\": \"11–15\", \"bbox\": [460, 63, 490, 75]}, {\"cell\": \"Localised pain and discomfort\", \"bbox\": [78, 83, 163, 108]}, {\"cell\": \"Borg CR-10 score\", \"bbox\": [178, 83, 235, 108]}, {\"cell\": \"0–1\", \"bbox\": [254, 89, 273, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 89, 320, 101]}, {\"cell\": \"4–5\", \"bbox\": [351, 89, 369, 101]}, {\"cell\": \"6–7\", \"bbox\": [406, 89, 425, 101]}, {\"cell\": \"8–10\", \"bbox\": [463, 89, 487, 101]}, {\"cell\": \"Comfort\", \"bbox\": [18, 109, 58, 121]}, {\"cell\": \"General wearable\", \"bbox\": [81, 109, 160, 121]}, {\"cell\": \"CRS score\", \"bbox\": [182, 109, 231, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [254, 109, 273, 121]}, {\"cell\": \"5–8\", \"bbox\": [302, 109, 320, 121]}, {\"cell\": \"9–12\", \"bbox\": [348, 109, 372, 121]}, {\"cell\": \"13–16\", \"bbox\": [401, 109, 430, 121]}, {\"cell\": \"17–20\", \"bbox\": [461, 109, 490, 121]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4208222_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL][EMPTY_CELL]BMIIRQUGAGLUINSC-peptideFFATCTGLDLHDL
TBILr-0.0340.02-0.020.0920.0180.0190.0430.1880.091-0.2280.032[EMPTY_CELL]
[EMPTY_CELL]p0.6630.80.80.2220.8160.8060.5730.0360.230.0020.0675[EMPTY_CELL]
ALBr0.0180.186-0.186-0.248-0.0190.1960.08-0.080.165-0.0160.189[EMPTY_CELL]
[EMPTY_CELL]p0.8130.0150.0150.0010.80.010.2960.3770.0290.8380.012[EMPTY_CELL]
ALTr-0.03-0.0130.0130.080.102-0.0570.0560.103-0.0240.064-0.057[EMPTY_CELL]
[EMPTY_CELL]p0.6940.8630.8630.2890.1750.4590.4670.2520.7530.4030.449[EMPTY_CELL]
ASTr-0.183-0.2170.2170.188-0.02-0.241-0.0790.1610.051-0.073-0.007[EMPTY_CELL]
[EMPTY_CELL]p0.0170.0040.0040.0130.790.0020.3050.0730.5020.3390.931[EMPTY_CELL]
ALPr-0.204-0.250.250.2720.043-0.302-0.1560.125-0.054-0.012-0.125[EMPTY_CELL]
[EMPTY_CELL]p0.0080.0010.00100.57100.0420.1660.4760.8790.098[EMPTY_CELL]
GGTr-0.099-0.1020.1020.063-0.036-0.1360.0330.3110.10.0630.035[EMPTY_CELL]
[EMPTY_CELL]p0.2480.2320.2320.4520.6650.110.6990.0020.2350.4590.675[EMPTY_CELL]
PTr-0.063-0.1750.1750.231-0.089-0.158-0.150.107-0.29-0.242-0.317[EMPTY_CELL]
[EMPTY_CELL]p0.4120.0220.0220.0020.2370.0370.0490.23600.0010[EMPTY_CELL]
AFPr-0.071-0.0910.091-0.054-0.131-0.065-0.1080.069-0.007-0.115-0.005[EMPTY_CELL]
[EMPTY_CELL]p0.350.2320.2320.4750.080.3930.1590.4430.9240.130.949[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"BMI\", \"bbox\": [59, 4, 74, 13]}, {\"cell\": \"IR\", \"bbox\": [98, 4, 106, 13]}, {\"cell\": \"QU\", \"bbox\": [131, 4, 144, 13]}, {\"cell\": \"GA\", \"bbox\": [166, 4, 179, 13]}, {\"cell\": \"GLU\", \"bbox\": [200, 4, 216, 13]}, {\"cell\": \"INS\", \"bbox\": [236, 4, 250, 13]}, {\"cell\": \"C-peptide\", \"bbox\": [268, 4, 304, 13]}, {\"cell\": \"FFA\", \"bbox\": [320, 4, 335, 13]}, {\"cell\": \"TC\", \"bbox\": [356, 4, 367, 13]}, {\"cell\": \"TG\", \"bbox\": [391, 4, 402, 13]}, {\"cell\": \"LDL\", \"bbox\": [425, 4, 440, 13]}, {\"cell\": \"HDL\", \"bbox\": [460, 4, 477, 13]}, {\"cell\": \"TBIL\", \"bbox\": [6, 17, 21, 26]}, {\"cell\": \"r\", \"bbox\": [37, 17, 41, 26]}, {\"cell\": \"-0.034\", \"bbox\": [56, 17, 77, 26]}, {\"cell\": \"0.02\", \"bbox\": [95, 17, 109, 26]}, {\"cell\": \"-0.02\", \"bbox\": [129, 17, 146, 26]}, {\"cell\": \"0.092\", \"bbox\": [163, 17, 182, 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{\"cell\": \"0.002\", \"bbox\": [387, 29, 406, 38]}, {\"cell\": \"0.0675\", \"bbox\": [422, 29, 444, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 29, 478, 38]}, {\"cell\": \"ALB\", \"bbox\": [6, 41, 21, 50]}, {\"cell\": \"r\", \"bbox\": [37, 41, 41, 50]}, {\"cell\": \"0.018\", \"bbox\": [57, 41, 76, 50]}, {\"cell\": \"0.186\", \"bbox\": [93, 41, 111, 50]}, {\"cell\": \"-0.186\", \"bbox\": [127, 41, 148, 50]}, {\"cell\": \"-0.248\", \"bbox\": [162, 41, 183, 50]}, {\"cell\": \"-0.019\", \"bbox\": [197, 41, 218, 50]}, {\"cell\": \"0.196\", \"bbox\": [234, 41, 252, 50]}, {\"cell\": \"0.08\", \"bbox\": [278, 41, 293, 50]}, {\"cell\": \"-0.08\", \"bbox\": [319, 41, 336, 50]}, {\"cell\": \"0.165\", \"bbox\": [352, 41, 371, 50]}, {\"cell\": \"-0.016\", \"bbox\": [386, 41, 407, 50]}, {\"cell\": \"0.189\", \"bbox\": [423, 41, 442, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 41, 479, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"p\", \"bbox\": [36, 53, 42, 62]}, 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{\"cell\": \"0.449\", \"bbox\": [423, 77, 442, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 77, 478, 86]}, {\"cell\": \"AST\", \"bbox\": [6, 89, 20, 98]}, {\"cell\": \"r\", \"bbox\": [37, 89, 41, 98]}, {\"cell\": \"-0.183\", \"bbox\": [56, 89, 77, 98]}, {\"cell\": \"-0.217\", \"bbox\": [91, 89, 112, 98]}, {\"cell\": \"0.217\", \"bbox\": [128, 89, 147, 98]}, {\"cell\": \"0.188\", \"bbox\": [163, 89, 182, 98]}, {\"cell\": \"-0.02\", \"bbox\": [199, 89, 216, 98]}, {\"cell\": \"-0.241\", \"bbox\": [233, 89, 254, 98]}, {\"cell\": \"-0.079\", \"bbox\": [275, 89, 296, 98]}, {\"cell\": \"0.161\", \"bbox\": [318, 89, 337, 98]}, {\"cell\": \"0.051\", \"bbox\": [352, 89, 371, 98]}, {\"cell\": \"-0.073\", \"bbox\": [386, 89, 407, 98]}, {\"cell\": \"-0.007\", \"bbox\": [422, 89, 443, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 89, 478, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"p\", \"bbox\": [36, 101, 42, 110]}, {\"cell\": \"0.017\", \"bbox\": [57, 101, 76, 110]}, 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125, 406, 134]}, {\"cell\": \"0.098\", \"bbox\": [423, 125, 442, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 125, 478, 134]}, {\"cell\": \"GGT\", \"bbox\": [6, 137, 21, 146]}, {\"cell\": \"r\", \"bbox\": [37, 137, 41, 146]}, {\"cell\": \"-0.099\", \"bbox\": [56, 137, 77, 146]}, {\"cell\": \"-0.102\", \"bbox\": [91, 137, 112, 146]}, {\"cell\": \"0.102\", \"bbox\": [128, 137, 147, 146]}, {\"cell\": \"0.063\", \"bbox\": [163, 137, 182, 146]}, {\"cell\": \"-0.036\", \"bbox\": [197, 137, 218, 146]}, {\"cell\": \"-0.136\", \"bbox\": [233, 137, 254, 146]}, {\"cell\": \"0.033\", \"bbox\": [276, 137, 295, 146]}, {\"cell\": \"0.311\", \"bbox\": [318, 137, 337, 146]}, {\"cell\": \"0.1\", \"bbox\": [356, 137, 367, 146]}, {\"cell\": \"0.063\", \"bbox\": [387, 137, 406, 146]}, {\"cell\": \"0.035\", \"bbox\": [423, 137, 442, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 137, 478, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"p\", \"bbox\": [36, 149, 42, 158]}, {\"cell\": \"0.248\", \"bbox\": [57, 149, 76, 158]}, {\"cell\": \"0.232\", \"bbox\": [93, 149, 111, 158]}, {\"cell\": \"0.232\", \"bbox\": [128, 149, 147, 158]}, {\"cell\": \"0.452\", \"bbox\": [163, 149, 182, 158]}, {\"cell\": \"0.665\", \"bbox\": [198, 149, 217, 158]}, {\"cell\": \"0.11\", \"bbox\": [236, 149, 250, 158]}, {\"cell\": \"0.699\", \"bbox\": [276, 149, 295, 158]}, {\"cell\": \"0.002\", \"bbox\": [318, 149, 337, 158]}, {\"cell\": \"0.235\", \"bbox\": [352, 149, 371, 158]}, {\"cell\": \"0.459\", \"bbox\": [387, 149, 406, 158]}, {\"cell\": \"0.675\", \"bbox\": [423, 149, 442, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 149, 478, 158]}, {\"cell\": \"PT\", \"bbox\": [9, 161, 18, 170]}, {\"cell\": \"r\", \"bbox\": [37, 161, 41, 170]}, {\"cell\": \"-0.063\", \"bbox\": [56, 161, 77, 170]}, {\"cell\": \"-0.175\", \"bbox\": [91, 161, 112, 170]}, {\"cell\": \"0.175\", \"bbox\": [128, 161, 147, 170]}, {\"cell\": \"0.231\", \"bbox\": [163, 161, 182, 170]}, {\"cell\": \"-0.089\", \"bbox\": [197, 161, 218, 170]}, {\"cell\": \"-0.158\", \"bbox\": [233, 161, 254, 170]}, {\"cell\": \"-0.15\", \"bbox\": [277, 161, 294, 170]}, {\"cell\": \"0.107\", \"bbox\": [318, 161, 337, 170]}, {\"cell\": \"-0.29\", \"bbox\": [353, 161, 370, 170]}, {\"cell\": \"-0.242\", \"bbox\": [386, 161, 407, 170]}, {\"cell\": \"-0.317\", \"bbox\": [422, 161, 443, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 161, 479, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"p\", \"bbox\": [36, 173, 42, 182]}, {\"cell\": \"0.412\", \"bbox\": [57, 173, 76, 182]}, {\"cell\": \"0.022\", \"bbox\": [93, 173, 111, 182]}, {\"cell\": \"0.022\", \"bbox\": [128, 173, 147, 182]}, {\"cell\": \"0.002\", \"bbox\": [163, 173, 182, 182]}, {\"cell\": \"0.237\", \"bbox\": [198, 173, 217, 182]}, {\"cell\": \"0.037\", \"bbox\": [234, 173, 252, 182]}, {\"cell\": \"0.049\", \"bbox\": [276, 173, 295, 182]}, {\"cell\": \"0.236\", \"bbox\": [318, 173, 337, 182]}, {\"cell\": \"0\", \"bbox\": [359, 173, 364, 182]}, {\"cell\": \"0.001\", \"bbox\": [387, 173, 406, 182]}, {\"cell\": \"0\", \"bbox\": [430, 173, 436, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 173, 478, 182]}, {\"cell\": \"AFP\", \"bbox\": [6, 185, 21, 194]}, {\"cell\": \"r\", \"bbox\": [37, 185, 41, 194]}, {\"cell\": \"-0.071\", \"bbox\": [56, 185, 77, 194]}, {\"cell\": \"-0.091\", \"bbox\": [91, 185, 112, 194]}, {\"cell\": \"0.091\", \"bbox\": [128, 185, 147, 194]}, {\"cell\": \"-0.054\", \"bbox\": [162, 185, 183, 194]}, {\"cell\": \"-0.131\", \"bbox\": [197, 185, 218, 194]}, {\"cell\": \"-0.065\", \"bbox\": [233, 185, 254, 194]}, {\"cell\": \"-0.108\", \"bbox\": [275, 185, 296, 194]}, {\"cell\": \"0.069\", \"bbox\": [318, 185, 337, 194]}, {\"cell\": \"-0.007\", \"bbox\": [351, 185, 372, 194]}, {\"cell\": \"-0.115\", \"bbox\": [386, 185, 407, 194]}, {\"cell\": \"-0.005\", \"bbox\": [422, 185, 443, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 185, 478, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"p\", \"bbox\": [36, 197, 42, 206]}, {\"cell\": \"0.35\", \"bbox\": [59, 197, 74, 206]}, {\"cell\": \"0.232\", \"bbox\": [93, 197, 111, 206]}, {\"cell\": \"0.232\", \"bbox\": [128, 197, 147, 206]}, {\"cell\": \"0.475\", \"bbox\": [163, 197, 182, 206]}, {\"cell\": \"0.08\", \"bbox\": [200, 197, 215, 206]}, {\"cell\": \"0.393\", \"bbox\": [234, 197, 252, 206]}, {\"cell\": \"0.159\", \"bbox\": [276, 197, 295, 206]}, {\"cell\": \"0.443\", \"bbox\": [318, 197, 337, 206]}, {\"cell\": \"0.924\", \"bbox\": [352, 197, 371, 206]}, {\"cell\": \"0.13\", \"bbox\": [389, 197, 404, 206]}, {\"cell\": \"0.949\", \"bbox\": [423, 197, 442, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 197, 478, 206]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3118330_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Sample size method[EMPTY_CELL]Parameter coefficienta (95% confidence interval)p valueMcFadden’s D
Detection of increasingly aggressive prostate cancerb
64Restricted spectrum imaging (RSI) z-score[EMPTY_CELL][EMPTY_CELL]<0.0010.613
[EMPTY_CELL][EMPTY_CELL]Benign[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]Primary Gleason 3[EMPTY_CELL]0.014[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]Primary Gleason 4[EMPTY_CELL]0.001[EMPTY_CELL]
64Apparent diffusion coefficient (ADC)[EMPTY_CELL][EMPTY_CELL]<0.0010.202
[EMPTY_CELL][EMPTY_CELL]Benign[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]Primary Gleason 3[EMPTY_CELL]0.483[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]Primary Gleason 4[EMPTY_CELL]0.076[EMPTY_CELL]
Prostate cancer aggressivenesscWald testOdds ratio (95% confidence interval)[EMPTY_CELL][EMPTY_CELL]
36Restricted spectrum imaging (RSI) z-score5.1[EMPTY_CELL]0.024[EMPTY_CELL]
36Apparent diffusion coefficient (ADC)3.3[EMPTY_CELL]0.069[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Sample size method\", \"bbox\": [0, 6, 75, 16]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Parameter coefficienta (95% confidence interval)\", \"bbox\": [284, 5, 376, 27]}, {\"cell\": \"p value\", \"bbox\": [402, 6, 430, 16]}, {\"cell\": \"McFadden’s D\", \"bbox\": [451, 6, 503, 16]}, {\"cell\": \"Detection of increasingly aggressive prostate cancerb\", \"bbox\": [0, 34, 191, 44]}, {\"cell\": \"64\", \"bbox\": [0, 55, 11, 64]}, {\"cell\": \"Restricted spectrum imaging (RSI) z-score\", \"bbox\": [32, 55, 174, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.001\", \"bbox\": [402, 55, 428, 64]}, {\"cell\": \"0.613\", \"bbox\": [469, 55, 489, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Benign\", \"bbox\": [214, 66, 239, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [327, 66, 333, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Primary Gleason 3\", \"bbox\": [195, 78, 258, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [302, 78, 359, 87]}, {\"cell\": \"0.014\", \"bbox\": [408, 78, 428, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Primary Gleason 4\", \"bbox\": [195, 89, 258, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [305, 89, 356, 98]}, {\"cell\": \"0.001\", \"bbox\": [408, 89, 428, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"64\", \"bbox\": [0, 112, 11, 121]}, {\"cell\": \"Apparent diffusion coefficient (ADC)\", \"bbox\": [32, 112, 153, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.001\", \"bbox\": [402, 112, 428, 121]}, {\"cell\": \"0.202\", \"bbox\": [469, 112, 490, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Benign\", \"bbox\": [214, 124, 239, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [327, 124, 333, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Primary Gleason 3\", \"bbox\": [195, 135, 258, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [303, 135, 358, 144]}, {\"cell\": \"0.483\", \"bbox\": [408, 135, 429, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Primary Gleason 4\", \"bbox\": [195, 146, 258, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [302, 146, 358, 155]}, {\"cell\": \"0.076\", \"bbox\": [408, 146, 428, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Prostate cancer aggressivenessc\", \"bbox\": [0, 164, 116, 175]}, {\"cell\": \"Wald test\", \"bbox\": [208, 166, 244, 175]}, {\"cell\": \"Odds ratio (95% confidence interval)\", \"bbox\": [284, 166, 376, 187]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 166, 430, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"36\", \"bbox\": [0, 195, 11, 204]}, {\"cell\": \"Restricted spectrum imaging (RSI) z-score\", \"bbox\": [32, 195, 174, 204]}, {\"cell\": \"5.1\", \"bbox\": [220, 195, 233, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [305, 195, 355, 204]}, {\"cell\": \"0.024\", \"bbox\": [408, 195, 429, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"36\", \"bbox\": [1, 206, 11, 215]}, {\"cell\": \"Apparent diffusion coefficient (ADC)\", \"bbox\": [32, 206, 153, 215]}, {\"cell\": \"3.3\", \"bbox\": [220, 206, 233, 215]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [307, 206, 353, 215]}, {\"cell\": \"0.069\", \"bbox\": [408, 206, 429, 215]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4330697_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
STPsCapacity UASB[EMPTY_CELL]Post treatment system[EMPTY_CELL]
[EMPTY_CELL](MLD)L × B × D/H (m)No. of reactorsHRT (h)Vol. (m3)L × B × D/H (m)No. of reactorsHRTVol. (m3)
[EMPTY_CELL]3824× 28× 6.1049.41500012700 m2 × 1.5 m (PP)*21.0 d38000
[EMPTY_CELL]7824× 40 × 5.2569.330200214 × 93 × 1.6 (PP)11.2 d97200
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]130 × 160 × 1.6 (PP)11.2 d[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]123 × 163 × 1.60 (PP)11.2 d[EMPTY_CELL]
[EMPTY_CELL]4032 × 24 × 4.848.514100241 × 135 × 1.25 (PP)11.0 d40700
[EMPTY_CELL]4324× 22× 4.8067.21468052 × 26 × 4.0 (ASP)**26 h10816
[EMPTY_CELL]10020 × 20 × 7.44208.53920060 × 16 × 5.5 (ASP) **43 h21120
[EMPTY_CELL]2724 × 28 × 6.1039.911200110 × 120 × 1.6 (PP)21.6 d42000
[EMPTY_CELL]3424 × 24 × 6.2549.613600237.4 × 55.1 × 1.3 (PP)201.0 d38000
[EMPTY_CELL]11132 × 30 × 5.199.04406424 × 12 × 3.5 (Aeration)110 min1008
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]602 × 270 × 1.5 (PP)11.89 d43810
[EMPTY_CELL]15232 × 38 × 5.10121173836602 × 270 × 1.5 (PP)11.60 d43810
[EMPTY_CELL]4832 × 30 × 5.1049.59.517002602 × 270 × 1.5 (PP)22.5 d43810
\", \"cells\": [{\"cell\": \"STPs\", \"bbox\": [1, 4, 18, 13]}, {\"cell\": \"Capacity\", \"bbox\": [45, 4, 77, 13]}, {\"cell\": \" UASB\", \"bbox\": [167, 4, 188, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Post treatment system\", \"bbox\": [341, 4, 421, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"(MLD)\", \"bbox\": [50, 17, 72, 27]}, {\"cell\": \"L × B × D/H (m)\", \"bbox\": [84, 17, 137, 27]}, {\"cell\": \"No. of reactors\", \"bbox\": [144, 17, 198, 27]}, {\"cell\": \"HRT (h)\", \"bbox\": [204, 17, 232, 27]}, {\"cell\": \"Vol. (m3)\", \"bbox\": [239, 15, 271, 27]}, {\"cell\": \"L × B × D/H (m)\", \"bbox\": [289, 17, 343, 27]}, {\"cell\": \"No. of reactors\", \"bbox\": [361, 17, 414, 27]}, {\"cell\": \"HRT\", \"bbox\": [425, 17, 441, 27]}, {\"cell\": \"Vol. (m3)\", \"bbox\": [452, 15, 484, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 30, 38, 40]}, {\"cell\": \"38\", \"bbox\": [56, 30, 66, 40]}, {\"cell\": \"24× 28× 6.10\", \"bbox\": [88, 30, 133, 40]}, {\"cell\": \"4\", \"bbox\": [168, 30, 174, 40]}, {\"cell\": \"9.4\", \"bbox\": [213, 30, 224, 40]}, {\"cell\": \"15000\", \"bbox\": [244, 30, 265, 40]}, {\"cell\": \"12700 m2 × 1.5 m (PP)*\", \"bbox\": [278, 29, 354, 40]}, {\"cell\": \"2\", \"bbox\": [385, 30, 390, 40]}, {\"cell\": \"1.0 d\", \"bbox\": [424, 30, 442, 40]}, {\"cell\": \"38000\", \"bbox\": [458, 30, 479, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 44, 17, 54]}, {\"cell\": \"78\", \"bbox\": [56, 44, 66, 54]}, {\"cell\": \"24× 40 × 5.25\", \"bbox\": [88, 44, 133, 54]}, {\"cell\": \"6\", \"bbox\": [168, 44, 174, 54]}, {\"cell\": \"9.3\", \"bbox\": [213, 44, 224, 54]}, {\"cell\": \"30200\", \"bbox\": [244, 44, 265, 54]}, {\"cell\": \"214 × 93 × 1.6 (PP)\", \"bbox\": [286, 44, 346, 54]}, {\"cell\": \"1\", \"bbox\": [385, 44, 390, 54]}, {\"cell\": \"1.2 d\", \"bbox\": [424, 44, 442, 54]}, {\"cell\": \"97200\", \"bbox\": [458, 44, 479, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"130 × 160 × 1.6 (PP)\", \"bbox\": [284, 58, 348, 68]}, {\"cell\": \"1\", \"bbox\": [385, 58, 390, 68]}, {\"cell\": \"1.2 d\", \"bbox\": [424, 58, 442, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"123 × 163 × 1.60 (PP)\", \"bbox\": [282, 72, 350, 82]}, {\"cell\": \"1\", \"bbox\": [385, 72, 390, 82]}, {\"cell\": \"1.2 d\", \"bbox\": [424, 72, 442, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 86, 22, 96]}, {\"cell\": \"40\", \"bbox\": [56, 86, 66, 96]}, {\"cell\": \"32 × 24 × 4.8\", \"bbox\": [90, 86, 132, 96]}, {\"cell\": \"4\", \"bbox\": [168, 86, 174, 96]}, {\"cell\": \"8.5\", \"bbox\": [213, 86, 224, 96]}, {\"cell\": \"14100\", \"bbox\": [244, 86, 265, 96]}, {\"cell\": \"241 × 135 × 1.25 (PP)\", \"bbox\": [282, 86, 350, 96]}, {\"cell\": \"1\", \"bbox\": [385, 86, 390, 96]}, {\"cell\": \"1.0 d\", \"bbox\": [424, 86, 442, 96]}, {\"cell\": \"40700\", \"bbox\": [458, 86, 479, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 100, 32, 110]}, {\"cell\": \"43\", \"bbox\": [56, 100, 66, 110]}, {\"cell\": \"24× 22× 4.80\", \"bbox\": [88, 100, 133, 110]}, {\"cell\": \"6\", \"bbox\": [168, 100, 174, 110]}, {\"cell\": \"7.2\", \"bbox\": [213, 100, 224, 110]}, {\"cell\": \"14680\", \"bbox\": [244, 100, 265, 110]}, {\"cell\": \"52 × 26 × 4.0 (ASP)**\", \"bbox\": [282, 100, 349, 110]}, {\"cell\": \"2\", \"bbox\": [385, 100, 390, 110]}, {\"cell\": \"6 h\", \"bbox\": [427, 100, 439, 110]}, {\"cell\": \"10816\", \"bbox\": [458, 100, 479, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 114, 19, 124]}, {\"cell\": \"100\", \"bbox\": [54, 114, 68, 124]}, {\"cell\": \"20 × 20 × 7.44\", \"bbox\": [88, 114, 134, 124]}, {\"cell\": \"20\", \"bbox\": [166, 114, 176, 124]}, {\"cell\": \"8.5\", \"bbox\": [213, 114, 224, 124]}, {\"cell\": \"39200\", \"bbox\": [244, 114, 265, 124]}, {\"cell\": \"60 × 16 × 5.5 (ASP) **\", \"bbox\": [281, 114, 351, 124]}, {\"cell\": \"4\", \"bbox\": [385, 114, 390, 124]}, {\"cell\": \"3 h\", \"bbox\": [427, 114, 439, 124]}, {\"cell\": \"21120\", \"bbox\": [458, 114, 479, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 128, 21, 138]}, {\"cell\": \"27\", \"bbox\": [56, 128, 66, 138]}, {\"cell\": \"24 × 28 × 6.10\", \"bbox\": [88, 128, 134, 138]}, {\"cell\": \"3\", \"bbox\": [168, 128, 174, 138]}, {\"cell\": \"9.9\", \"bbox\": [213, 128, 224, 138]}, {\"cell\": \"11200\", \"bbox\": [244, 128, 265, 138]}, {\"cell\": \"110 × 120 × 1.6 (PP)\", \"bbox\": [284, 128, 348, 138]}, {\"cell\": \"2\", \"bbox\": [385, 128, 390, 138]}, {\"cell\": \"1.6 d\", \"bbox\": [424, 128, 442, 138]}, {\"cell\": \"42000\", \"bbox\": [458, 128, 479, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 142, 21, 152]}, {\"cell\": \"34\", \"bbox\": [56, 142, 66, 152]}, {\"cell\": \"24 × 24 × 6.25\", \"bbox\": [88, 142, 134, 152]}, {\"cell\": \"4\", \"bbox\": [168, 142, 174, 152]}, {\"cell\": \"9.6\", \"bbox\": [213, 142, 224, 152]}, {\"cell\": \"13600\", \"bbox\": [244, 142, 265, 152]}, {\"cell\": \"237.4 × 55.1 × 1.3 (PP)\", \"bbox\": [281, 142, 351, 152]}, {\"cell\": \"20\", \"bbox\": [383, 142, 392, 152]}, {\"cell\": \"1.0 d\", \"bbox\": [424, 142, 442, 152]}, {\"cell\": \"38000\", \"bbox\": [458, 142, 479, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 156, 32, 166]}, {\"cell\": \"111\", \"bbox\": [54, 156, 68, 166]}, {\"cell\": \"32 × 30 × 5.1\", \"bbox\": [90, 156, 132, 166]}, {\"cell\": \"9\", \"bbox\": [168, 156, 174, 166]}, {\"cell\": \"9.0\", \"bbox\": [213, 156, 224, 166]}, {\"cell\": \"44064\", \"bbox\": [244, 156, 265, 166]}, {\"cell\": \"24 × 12 × 3.5 (Aeration)\", \"bbox\": [278, 156, 354, 166]}, {\"cell\": \"1\", \"bbox\": [385, 156, 390, 166]}, {\"cell\": \"10 min\", \"bbox\": [421, 156, 445, 166]}, {\"cell\": \"1008\", \"bbox\": [460, 156, 477, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"602 × 270 × 1.5 (PP)\", \"bbox\": [284, 170, 348, 180]}, {\"cell\": \"1\", \"bbox\": [385, 170, 390, 180]}, {\"cell\": \"1.89 d\", \"bbox\": [422, 170, 444, 180]}, {\"cell\": \"43810\", \"bbox\": [458, 170, 479, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 184, 32, 194]}, {\"cell\": \"152\", \"bbox\": [54, 184, 68, 194]}, {\"cell\": \"32 × 38 × 5.10\", \"bbox\": [88, 184, 134, 194]}, {\"cell\": \"12\", \"bbox\": [166, 184, 176, 194]}, {\"cell\": \"11\", \"bbox\": [213, 184, 223, 194]}, {\"cell\": \"73836\", \"bbox\": [244, 184, 265, 194]}, {\"cell\": \"602 × 270 × 1.5 (PP)\", \"bbox\": [284, 184, 348, 194]}, {\"cell\": \"1\", \"bbox\": [385, 184, 390, 194]}, {\"cell\": \"1.60 d\", \"bbox\": [422, 184, 444, 194]}, {\"cell\": \"43810\", \"bbox\": [458, 184, 479, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 198, 32, 208]}, {\"cell\": \"48\", \"bbox\": [56, 198, 66, 208]}, {\"cell\": \"32 × 30 × 5.10\", \"bbox\": [88, 198, 134, 208]}, {\"cell\": \"4\", \"bbox\": [168, 198, 174, 208]}, {\"cell\": \"9.5\", \"bbox\": [213, 198, 224, 208]}, {\"cell\": \"9.517002\", \"bbox\": [240, 198, 270, 208]}, {\"cell\": \"602 × 270 × 1.5 (PP)\", \"bbox\": [284, 198, 348, 208]}, {\"cell\": \"2\", \"bbox\": [385, 198, 390, 208]}, {\"cell\": \"2.5 d\", \"bbox\": [424, 198, 442, 208]}, {\"cell\": \"43810\", \"bbox\": [458, 198, 479, 208]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4108128_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Recommendation to ensure rigour in secondary analysis of qualitative dataMeasure taken
[EMPTY_CELL]Detailed transcriptions, transcribed verbatim, were available.
[EMPTY_CELL]Whole interviews were available to at least one of the researchers involved in the secondary analysis rather than just the relevant sections.
[EMPTY_CELL]Field note summaries (interview ‘pen portraits’), included information about the participant’s gender, age, socio-economic status, residence, family situation, key life events and the context in which each interview took place were provided.
[EMPTY_CELL]Information included in detailed field note summaries.
[EMPTY_CELL]Sampling frameworks of the primary studies and the selection of the subset used in the secondary analysis are described in the methods section.
[EMPTY_CELL]Funding information for the primary studies is included in Table 1. Additional funding sources for the secondary analysis are included in the acknowledgements.
[EMPTY_CELL]At least one researcher from the original study was available to provide further information on any contextual queries (ShP, BP, RD). The original researchers were not however involved in the re-coding of the data (conducted by NE and RP).
[EMPTY_CELL]Ethics and informed consent are described in the methods section.
[EMPTY_CELL]Rationale for the thematic analysis is described in the methods section.
[EMPTY_CELL]Data were managed using Atlas ti qualitative data analysis software.
[EMPTY_CELL]Details provided in this table.
[EMPTY_CELL]At least one researcher from the original study confirmed the fit of the resulting themes.
[EMPTY_CELL]Limitations are outlined in the limitations section.
\", \"cells\": [{\"cell\": \"Recommendation to ensure rigour in secondary analysis of qualitative data\", \"bbox\": [1, 4, 169, 22]}, {\"cell\": \"Measure taken\", \"bbox\": [197, 4, 250, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 26, 186, 45]}, {\"cell\": \"Detailed transcriptions, transcribed verbatim, were available.\", \"bbox\": [197, 26, 391, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 48, 183, 67]}, {\"cell\": \"Whole interviews were available to at least one of the researchers involved in the secondary analysis rather than just the relevant sections.\", \"bbox\": [197, 48, 461, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 70, 157, 89]}, {\"cell\": \"Field note summaries (interview ‘pen portraits’), included information about the participant’s gender, age, socio-economic status, residence, family situation, key life events and the context in which each interview took place were provided.\", \"bbox\": [197, 70, 466, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 101, 171, 120]}, {\"cell\": \"Information included in detailed field note summaries.\", \"bbox\": [197, 101, 374, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 124, 172, 142]}, {\"cell\": \"Sampling frameworks of the primary studies and the selection of the subset used in the secondary analysis are described in the methods section.\", \"bbox\": [197, 124, 482, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 146, 146, 155]}, {\"cell\": \"Funding information for the primary studies is included in Table 1. Additional funding sources for the secondary analysis are included in the acknowledgements.\", \"bbox\": [197, 146, 475, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 168, 167, 177]}, {\"cell\": \"At least one researcher from the original study was available to provide further information on any contextual queries (ShP, BP, RD). The original researchers were not however involved in the re-coding of the data (conducted by NE and RP).\", \"bbox\": [197, 168, 476, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 199, 121, 209]}, {\"cell\": \"Ethics and informed consent are described in the methods section.\", \"bbox\": [197, 199, 415, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 212, 183, 231]}, {\"cell\": \"Rationale for the thematic analysis is described in the methods section.\", \"bbox\": [197, 212, 428, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 234, 159, 244]}, {\"cell\": \"Data were managed using Atlas ti qualitative data analysis software.\", \"bbox\": [197, 234, 417, 244]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 248, 174, 266]}, {\"cell\": \"Details provided in this table.\", \"bbox\": [197, 248, 293, 257]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 270, 187, 279]}, {\"cell\": \"At least one researcher from the original study confirmed the fit of the resulting themes.\", \"bbox\": [197, 270, 484, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 283, 69, 292]}, {\"cell\": \"Limitations are outlined in the limitations section.\", \"bbox\": [197, 283, 358, 292]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3583811_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Locus tagGene symbolDescriptionRelative fold change in 4-APP-treated to vehicle-treated C57BL/6 mice (mean (s.e.))Relative fold change in MyD88-deficient to wild type C57BL/6 mice (mean (s.e.))
SAOUHSC_02265agrAAccessory gene regulator protein A−1.60 (0.22)[EMPTY_CELL]
SAOUHSC_02566sarRAccessory regulator R−1.83 (0.22)[EMPTY_CELL]
SAOUHSC_01121hlaAlpha-hemolysin−3.32 (1.56)[EMPTY_CELL]
SAOUHSC_02971aurZinc metalloproteinase aureolysin−2.31 (0.96)[EMPTY_CELL]
SAOUHSC_00988sspAGlutamyl endopeptidase−2.19 (0.01)[EMPTY_CELL]
SAOUHSC_00561vraXProtein VraX−3.91 (2.76)[EMPTY_CELL]
SAOUHSC_00436gltDGlutamate synthase subunit beta−2.41 (1.11)[EMPTY_CELL]
SAOUHSC_01803aapAD-serine/D-alanine/glycine transporter1.21 (2.32)[EMPTY_CELL]
[EMPTY_CELL]RNAIIIRegulatory RNA−1.80 (0.53)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Locus tag\", \"bbox\": [2, 1, 37, 11]}, {\"cell\": \"Gene symbol\", \"bbox\": [71, 1, 97, 20]}, {\"cell\": \"Description\", \"bbox\": [102, 1, 144, 11]}, {\"cell\": \"Relative fold change in 4-APP-treated to vehicle-treated C57BL/6 mice (mean (s.e.))\", \"bbox\": [240, 1, 372, 30]}, {\"cell\": \"Relative fold change in MyD88-deficient to wild type C57BL/6 mice (mean (s.e.))\", \"bbox\": [377, 1, 504, 30]}, {\"cell\": \"SAOUHSC_02265\", \"bbox\": [2, 32, 65, 41]}, {\"cell\": \"agrA\", \"bbox\": [71, 32, 88, 41]}, {\"cell\": \"Accessory gene regulator protein A\", \"bbox\": [102, 32, 224, 41]}, {\"cell\": \"−1.60 (0.22)\", \"bbox\": [283, 32, 330, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [420, 32, 462, 41]}, {\"cell\": \"SAOUHSC_02566\", \"bbox\": [2, 42, 65, 51]}, {\"cell\": \"sarR\", \"bbox\": [71, 42, 86, 51]}, {\"cell\": \"Accessory regulator R\", \"bbox\": [102, 42, 178, 51]}, {\"cell\": \"−1.83 (0.22)\", \"bbox\": [283, 42, 330, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [420, 42, 467, 51]}, {\"cell\": \"SAOUHSC_01121\", \"bbox\": [2, 51, 60, 60]}, {\"cell\": \"hla\", \"bbox\": [71, 51, 82, 60]}, {\"cell\": \"Alpha-hemolysin\", \"bbox\": [102, 51, 160, 60]}, {\"cell\": \"−3.32 (1.56)\", \"bbox\": [284, 51, 330, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 51, 465, 60]}, {\"cell\": \"SAOUHSC_02971\", \"bbox\": [2, 61, 63, 70]}, {\"cell\": \"aur\", \"bbox\": [71, 61, 83, 70]}, {\"cell\": \"Zinc metalloproteinase aureolysin\", \"bbox\": [102, 61, 217, 70]}, {\"cell\": \"−2.31 (0.96)\", \"bbox\": [283, 61, 330, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [418, 61, 466, 70]}, {\"cell\": \"SAOUHSC_00988\", \"bbox\": [2, 70, 66, 79]}, {\"cell\": \"sspA\", \"bbox\": [71, 70, 88, 79]}, {\"cell\": \"Glutamyl endopeptidase\", \"bbox\": [102, 70, 185, 79]}, {\"cell\": \"−2.19 (0.01)\", \"bbox\": [284, 70, 330, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [418, 70, 467, 79]}, {\"cell\": \"SAOUHSC_00561\", \"bbox\": [2, 80, 64, 89]}, {\"cell\": \"vraX\", \"bbox\": [71, 80, 87, 89]}, {\"cell\": \"Protein VraX\", \"bbox\": [102, 80, 147, 89]}, {\"cell\": \"−3.91 (2.76)\", \"bbox\": [284, 80, 330, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [430, 80, 467, 89]}, {\"cell\": \"SAOUHSC_00436\", \"bbox\": [2, 89, 66, 98]}, {\"cell\": \"gltD\", \"bbox\": [71, 89, 86, 98]}, {\"cell\": \"Glutamate synthase subunit beta\", \"bbox\": [102, 89, 215, 98]}, {\"cell\": \"−2.41 (1.11)\", \"bbox\": [286, 89, 328, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [418, 89, 465, 98]}, {\"cell\": \"SAOUHSC_01803\", \"bbox\": [2, 98, 64, 108]}, {\"cell\": \"aapA\", \"bbox\": [71, 99, 89, 108]}, {\"cell\": \"D-serine/D-alanine/glycine transporter\", \"bbox\": [102, 98, 235, 108]}, {\"cell\": \"1.21 (2.32)\", \"bbox\": [288, 98, 325, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [427, 98, 467, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"RNAIII\", \"bbox\": [71, 108, 95, 117]}, {\"cell\": \"Regulatory RNA\", \"bbox\": [102, 108, 158, 117]}, {\"cell\": \"−1.80 (0.53)\", \"bbox\": [283, 108, 330, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [418, 108, 467, 117]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5296661_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
GenencDNDSPNPSPFETPhenotype(s)
nonC185231[EMPTY_CELL]8530.000076Hippo decrease
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]Hedgehog increase
Set2140827[EMPTY_CELL]17730.001521Hedgehog increase
Nup153129449[EMPTY_CELL]8300.001623Hedgehog decrease
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]RTK-Ras-ERK signaling decrease
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]RTK-Ras-ERK signaling increase
Kib10765[EMPTY_CELL]0620.003269Decreased cell viability
pcm107229[EMPTY_CELL]4190.005061Blood TE activity
Cnot486020[EMPTY_CELL]9340.005227Hippo decrease
ZC3H34149[EMPTY_CELL]6310.007610Hippo increase
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]RTK-Ras-ERK signaling decrease
Nup20578111[EMPTY_CELL]2280.007613Wnt increase
Dref5546[EMPTY_CELL]0290.007942Hedgehog increase
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]RTK-Ras-ERK signaling decrease
Sik35716[EMPTY_CELL]4370.008072Hippo decrease
RasGAP19796[EMPTY_CELL]1540.009106Innate immunity
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]RTK-Ras-ERK signaling increase
\", \"cells\": [{\"cell\": \"Gene\", \"bbox\": [1, 5, 20, 14]}, {\"cell\": \"nc\", \"bbox\": [67, 5, 76, 15]}, {\"cell\": \"DN\", \"bbox\": [123, 5, 133, 15]}, {\"cell\": \"DS\", \"bbox\": [171, 5, 181, 15]}, {\"cell\": \"PN\", \"bbox\": [219, 5, 229, 15]}, {\"cell\": \"PS\", \"bbox\": [267, 5, 275, 15]}, {\"cell\": \"PFET\", \"bbox\": [314, 5, 328, 15]}, {\"cell\": \"Phenotype(s)\", \"bbox\": [382, 5, 427, 14]}, {\"cell\": \"nonC\", \"bbox\": [1, 19, 19, 29]}, {\"cell\": \"1852\", \"bbox\": [67, 19, 85, 29]}, {\"cell\": \"31\", \"bbox\": [123, 19, 132, 29]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 19, 181, 29]}, {\"cell\": \"8\", \"bbox\": [219, 19, 225, 29]}, {\"cell\": \"53\", \"bbox\": [267, 19, 277, 29]}, {\"cell\": \"0.000076\", \"bbox\": [314, 19, 345, 29]}, {\"cell\": \"Hippo decrease\", \"bbox\": [382, 19, 435, 29]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Hedgehog increase\", \"bbox\": [382, 33, 447, 43]}, {\"cell\": \"Set2\", \"bbox\": [1, 47, 15, 56]}, {\"cell\": \"1408\", \"bbox\": [67, 47, 85, 57]}, {\"cell\": \"27\", \"bbox\": [123, 47, 132, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 47, 181, 57]}, {\"cell\": \"17\", \"bbox\": [219, 47, 229, 57]}, {\"cell\": \"73\", \"bbox\": [267, 47, 277, 57]}, {\"cell\": \"0.001521\", \"bbox\": [314, 47, 345, 57]}, {\"cell\": \"Hedgehog increase\", \"bbox\": [382, 47, 447, 57]}, {\"cell\": \"Nup153\", \"bbox\": [1, 61, 27, 70]}, {\"cell\": \"1294\", \"bbox\": [67, 61, 85, 71]}, {\"cell\": \"49\", \"bbox\": [123, 61, 132, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 61, 181, 71]}, {\"cell\": \"8\", \"bbox\": [219, 61, 225, 71]}, {\"cell\": \"30\", \"bbox\": [267, 61, 277, 71]}, {\"cell\": \"0.001623\", \"bbox\": [314, 61, 345, 71]}, {\"cell\": \"Hedgehog decrease\", \"bbox\": [382, 61, 449, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"RTK-Ras-ERK signaling decrease\", \"bbox\": [382, 75, 484, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"RTK-Ras-ERK signaling increase\", \"bbox\": [382, 89, 482, 98]}, {\"cell\": \"Kib\", \"bbox\": [1, 103, 12, 112]}, {\"cell\": \"1076\", \"bbox\": [67, 103, 85, 112]}, {\"cell\": \"5\", \"bbox\": [123, 103, 128, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 103, 181, 112]}, {\"cell\": \"0\", \"bbox\": [219, 103, 225, 112]}, {\"cell\": \"62\", \"bbox\": [267, 103, 277, 112]}, {\"cell\": \"0.003269\", \"bbox\": [314, 103, 345, 112]}, {\"cell\": \"Decreased cell viability\", \"bbox\": [382, 103, 457, 112]}, {\"cell\": \"pcm\", \"bbox\": [1, 117, 16, 126]}, {\"cell\": \"1072\", \"bbox\": [67, 117, 85, 126]}, {\"cell\": \"29\", \"bbox\": [123, 117, 132, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 117, 181, 126]}, {\"cell\": \"4\", \"bbox\": [219, 117, 225, 126]}, {\"cell\": \"19\", \"bbox\": [267, 117, 277, 126]}, {\"cell\": \"0.005061\", \"bbox\": [314, 117, 345, 126]}, {\"cell\": \"Blood TE activity\", \"bbox\": [382, 117, 436, 126]}, {\"cell\": \"Cnot4\", \"bbox\": [1, 131, 21, 140]}, {\"cell\": \"860\", \"bbox\": [67, 131, 81, 140]}, {\"cell\": \"20\", \"bbox\": [123, 131, 132, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 131, 181, 140]}, {\"cell\": \"9\", \"bbox\": [219, 131, 225, 140]}, {\"cell\": \"34\", \"bbox\": [267, 131, 277, 140]}, {\"cell\": \"0.005227\", \"bbox\": [314, 131, 345, 140]}, {\"cell\": \"Hippo decrease\", \"bbox\": [382, 131, 435, 140]}, {\"cell\": \"ZC3H3\", \"bbox\": [1, 145, 23, 154]}, {\"cell\": \"414\", \"bbox\": [67, 145, 81, 154]}, {\"cell\": \"9\", \"bbox\": [123, 145, 128, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 145, 177, 154]}, {\"cell\": \"6\", \"bbox\": [219, 145, 225, 154]}, {\"cell\": \"31\", \"bbox\": [267, 145, 277, 154]}, {\"cell\": \"0.007610\", \"bbox\": [314, 145, 345, 154]}, {\"cell\": \"Hippo increase\", \"bbox\": [382, 145, 432, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"RTK-Ras-ERK signaling decrease\", \"bbox\": [382, 159, 484, 168]}, {\"cell\": \"Nup205\", \"bbox\": [1, 173, 27, 182]}, {\"cell\": \"781\", \"bbox\": [67, 173, 81, 182]}, {\"cell\": \"11\", \"bbox\": [123, 173, 132, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 173, 181, 182]}, {\"cell\": \"2\", \"bbox\": [219, 173, 225, 182]}, {\"cell\": \"28\", \"bbox\": [267, 173, 277, 182]}, {\"cell\": \"0.007613\", \"bbox\": [314, 173, 345, 182]}, {\"cell\": \"Wnt increase\", \"bbox\": [382, 173, 426, 182]}, {\"cell\": \"Dref\", \"bbox\": [1, 187, 15, 196]}, {\"cell\": \"554\", \"bbox\": [67, 187, 81, 196]}, {\"cell\": \"6\", \"bbox\": [123, 187, 128, 196]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 187, 181, 196]}, {\"cell\": \"0\", \"bbox\": [219, 187, 225, 196]}, {\"cell\": \"29\", \"bbox\": [267, 187, 277, 196]}, {\"cell\": \"0.007942\", \"bbox\": [314, 187, 345, 196]}, {\"cell\": \"Hedgehog increase\", \"bbox\": [382, 187, 447, 196]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"RTK-Ras-ERK signaling decrease\", \"bbox\": [382, 201, 484, 210]}, {\"cell\": \"Sik3\", \"bbox\": [1, 214, 15, 224]}, {\"cell\": \"571\", \"bbox\": [67, 215, 81, 224]}, {\"cell\": \"6\", \"bbox\": [123, 215, 128, 224]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 215, 177, 224]}, {\"cell\": \"4\", \"bbox\": [219, 215, 225, 224]}, {\"cell\": \"37\", \"bbox\": [267, 215, 277, 224]}, {\"cell\": \"0.008072\", \"bbox\": [314, 215, 345, 224]}, {\"cell\": \"Hippo decrease\", \"bbox\": [382, 215, 435, 224]}, {\"cell\": \"RasGAP1\", \"bbox\": [1, 228, 30, 238]}, {\"cell\": \"979\", \"bbox\": [67, 228, 81, 238]}, {\"cell\": \"6\", \"bbox\": [123, 228, 128, 238]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 228, 181, 238]}, {\"cell\": \"1\", \"bbox\": [219, 228, 225, 238]}, {\"cell\": \"54\", \"bbox\": [267, 228, 277, 238]}, {\"cell\": \"0.009106\", \"bbox\": [314, 228, 345, 238]}, {\"cell\": \"Innate immunity\", \"bbox\": [382, 228, 437, 238]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"RTK-Ras-ERK signaling increase\", \"bbox\": [382, 242, 482, 252]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4578789_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
LayerMobile StationLocalization Server
[EMPTY_CELL]Display user positionDisplay management interface
[EMPTY_CELL]
[EMPTY_CELL]
[EMPTY_CELL]
[EMPTY_CELL]
[EMPTY_CELL]Validation of input data Measurement and processing of localization dataValidation of input data
[EMPTY_CELL]
[EMPTY_CELL]
[EMPTY_CELL]
[EMPTY_CELL]Data exchange with localization server Localization service callsData exchange with mobile stations
[EMPTY_CELL]
[EMPTY_CELL]
[EMPTY_CELL]
[EMPTY_CELL]Securing of sensitive dataAuthentication
[EMPTY_CELL]
[EMPTY_CELL]
[EMPTY_CELL]Notify localization server about errorsMake record of errors
[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Layer\", \"bbox\": [38, 6, 68, 18]}, {\"cell\": \"Mobile Station\", \"bbox\": [153, 6, 224, 18]}, {\"cell\": \"Localization Server\", \"bbox\": [309, 6, 403, 18]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [22, 52, 84, 63]}, {\"cell\": \"Display user position\", \"bbox\": [141, 21, 236, 33]}, {\"cell\": \"Display management interface\", \"bbox\": [287, 51, 424, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [128, 36, 249, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 51, 246, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [120, 66, 257, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [125, 81, 252, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 127, 94, 139]}, {\"cell\": \"Validation of input data Measurement and processing of localization data\", \"bbox\": [117, 112, 260, 154]}, {\"cell\": \"Validation of input data\", \"bbox\": [302, 97, 409, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 112, 423, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [306, 142, 405, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 157, 389, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [35, 203, 71, 214]}, {\"cell\": \"Data exchange with localization server Localization service calls\", \"bbox\": [117, 187, 260, 229]}, {\"cell\": \"Data exchange with mobile stations\", \"bbox\": [294, 172, 417, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [319, 202, 393, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [288, 217, 423, 229]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [287, 232, 424, 244]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [33, 263, 74, 275]}, {\"cell\": \"Securing of sensitive data\", \"bbox\": [131, 263, 246, 275]}, {\"cell\": \"Authentication\", \"bbox\": [322, 248, 389, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [324, 263, 387, 275]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [298, 278, 413, 290]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [21, 309, 85, 320]}, {\"cell\": \"Notify localization server about errors\", \"bbox\": [118, 301, 259, 328]}, {\"cell\": \"Make record of errors\", \"bbox\": [307, 293, 405, 305]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [277, 308, 435, 335]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4279482_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariablesPatients n = 246 (%)Controls n = 250 (%)p value
Gender
Male177 (71.95)[EMPTY_CELL]0.99
Female69 (28.05)[EMPTY_CELL]0.99
Age
Mean ± (SD)57.57 ± 10.19[EMPTY_CELL][EMPTY_CELL]
Stages of NSCLC
II28 (7.66)[EMPTY_CELL][EMPTY_CELL]
III82 (34.23)[EMPTY_CELL][EMPTY_CELL]
IV136 (58.11)[EMPTY_CELL][EMPTY_CELL]
Histology
Squamous-cell carcinoma97 (43.24)[EMPTY_CELL][EMPTY_CELL]
Adenocarcinoma109 (48.65)[EMPTY_CELL][EMPTY_CELL]
Large cell and others40 (8.11)[EMPTY_CELL][EMPTY_CELL]
Alcoholism
Consumers95 (38.62)*[EMPTY_CELL]0.01
Non-consumers151 (61.38)*[EMPTY_CELL]0.01
Smoking status
Never-smokers98 (39.84)*[EMPTY_CELL]<0.001
Ex-smokers42 (17.07)*[EMPTY_CELL]<0.001
Current smokers106 (43.08) *[EMPTY_CELL]<0.001
≤20 pack years38 (15.45)[EMPTY_CELL]0.16
21–40 pack years34 (13.82)*[EMPTY_CELL]0.01
41–60 pack years8 (3.25)[EMPTY_CELL]0.38
>60 pack years26 (10.57)*[EMPTY_CELL]0.01
Passive smokers38 (15.45)*[EMPTY_CELL]<0.001
\", \"cells\": [{\"cell\": \"Variables\", \"bbox\": [0, 4, 34, 13]}, {\"cell\": \"Patients n = 246 (%)\", \"bbox\": [87, 4, 129, 23]}, {\"cell\": \"Controls n = 250 (%)\", \"bbox\": [150, 4, 192, 23]}, {\"cell\": \"p value\", \"bbox\": [209, 4, 235, 14]}, {\"cell\": \"Gender\", \"bbox\": [0, 31, 26, 41]}, {\"cell\": \" Male\", \"bbox\": [5, 43, 23, 53]}, {\"cell\": \"177 (71.95)\", \"bbox\": [87, 43, 124, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 43, 187, 53]}, {\"cell\": \"0.99\", \"bbox\": [213, 43, 228, 53]}, {\"cell\": \" Female\", \"bbox\": [5, 55, 30, 65]}, {\"cell\": \"69 (28.05)\", \"bbox\": [87, 55, 120, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 55, 183, 65]}, {\"cell\": \"0.99\", \"bbox\": [213, 55, 228, 65]}, {\"cell\": \"Age\", \"bbox\": [0, 67, 15, 77]}, {\"cell\": \" Mean ± (SD)\", \"bbox\": [5, 80, 48, 89]}, {\"cell\": \"57.57 ± 10.19\", \"bbox\": [87, 80, 133, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 80, 192, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Stages of NSCLC\", \"bbox\": [0, 92, 55, 101]}, {\"cell\": \" II\", \"bbox\": [5, 104, 11, 113]}, {\"cell\": \"28 (7.66)\", \"bbox\": [87, 104, 116, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" III\", \"bbox\": [5, 116, 12, 125]}, {\"cell\": \"82 (34.23)\", \"bbox\": [87, 116, 120, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" IV\", \"bbox\": [5, 128, 13, 137]}, {\"cell\": \"136 (58.11)\", \"bbox\": [87, 128, 124, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Histology\", \"bbox\": [0, 140, 33, 150]}, {\"cell\": \" Squamous-cell carcinoma\", \"bbox\": [5, 152, 55, 171]}, {\"cell\": \"97 (43.24)\", \"bbox\": [87, 152, 120, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Adenocarcinoma\", \"bbox\": [5, 173, 62, 183]}, {\"cell\": \"109 (48.65)\", \"bbox\": [87, 173, 124, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Large cell and others\", \"bbox\": [5, 185, 74, 195]}, {\"cell\": \"40 (8.11)\", \"bbox\": [87, 185, 116, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Alcoholism\", \"bbox\": [0, 197, 38, 207]}, {\"cell\": \" Consumers\", \"bbox\": [5, 210, 43, 219]}, {\"cell\": \"95 (38.62)*\", \"bbox\": [87, 210, 123, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 210, 179, 219]}, {\"cell\": \"0.01\", \"bbox\": [213, 210, 228, 219]}, {\"cell\": \" Non-consumers\", \"bbox\": [5, 222, 59, 231]}, {\"cell\": \"151 (61.38)*\", \"bbox\": [87, 222, 127, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 222, 183, 231]}, {\"cell\": \"0.01\", \"bbox\": [213, 222, 228, 231]}, {\"cell\": \"Smoking status\", \"bbox\": [0, 234, 51, 243]}, {\"cell\": \" Never-smokers\", \"bbox\": [5, 246, 55, 255]}, {\"cell\": \"98 (39.84)*\", \"bbox\": [87, 246, 123, 255]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 246, 187, 255]}, {\"cell\": \"<0.001\", \"bbox\": [209, 246, 232, 255]}, {\"cell\": \" Ex-smokers\", \"bbox\": [5, 258, 43, 267]}, {\"cell\": \"42 (17.07)*\", \"bbox\": [87, 258, 123, 267]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 258, 179, 267]}, {\"cell\": \"<0.001\", \"bbox\": [209, 258, 232, 267]}, {\"cell\": \" Current smokers\", \"bbox\": [5, 270, 60, 280]}, {\"cell\": \"106 (43.08) *\", \"bbox\": [87, 270, 129, 280]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 270, 183, 280]}, {\"cell\": \"<0.001\", \"bbox\": [209, 270, 232, 280]}, {\"cell\": \" ≤20 pack years\", \"bbox\": [5, 282, 56, 292]}, {\"cell\": \"38 (15.45)\", \"bbox\": [87, 282, 120, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 282, 179, 292]}, {\"cell\": \"0.16\", \"bbox\": [213, 282, 228, 292]}, {\"cell\": \" 21–40 pack years\", \"bbox\": [5, 294, 62, 304]}, {\"cell\": \"34 (13.82)*\", \"bbox\": [87, 294, 123, 304]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 294, 175, 304]}, {\"cell\": \"0.01\", \"bbox\": [213, 294, 228, 304]}, {\"cell\": \" 41–60 pack years\", \"bbox\": [5, 306, 62, 316]}, {\"cell\": \"8 (3.25)\", \"bbox\": [87, 306, 112, 316]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 306, 179, 316]}, {\"cell\": \"0.38\", \"bbox\": [213, 306, 228, 316]}, {\"cell\": \" >60 pack years\", \"bbox\": [5, 318, 55, 328]}, {\"cell\": \"26 (10.57)*\", \"bbox\": [87, 318, 123, 328]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 318, 179, 328]}, {\"cell\": \"0.01\", \"bbox\": [213, 318, 228, 328]}, {\"cell\": \" Passive smokers\", \"bbox\": [5, 331, 58, 340]}, {\"cell\": \"38 (15.45)*\", \"bbox\": [87, 331, 123, 340]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 331, 166, 340]}, {\"cell\": \"<0.001\", \"bbox\": [209, 331, 232, 340]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4836067_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
CharacteristicDerivation cohort (n = 200)aValidation cohort (n = 200)ap-value
[EMPTY_CELL]51 ± 1848 ± 170.14
[EMPTY_CELL]100 (50%)100 (50%)1.0
[EMPTY_CELL]173 ± 14174 ± 100.44
[EMPTY_CELL]77 ± 1678 ± 180.79
[EMPTY_CELL]1.9 ± 0.31.9 ± 0.20.95
[EMPTY_CELL]180 ± 63183 ± 630.56
[EMPTY_CELL]94 ± 2995 ± 320.61
[EMPTY_CELL]91 ± 5788 ± 570.81
[EMPTY_CELL]47 ± 2846 ± 290.95
[EMPTY_CELL]89 ± 2795 ± 250.02*
[EMPTY_CELL]47 ± 1450 ± 110.01*
[EMPTY_CELL]52 ± 1254 ± 110.06
[EMPTY_CELL]138 ± 46137 ± 530.75
[EMPTY_CELL]71 ± 1972 ± 230.95
[EMPTY_CELL]28 ± 428 ± 40.51
[EMPTY_CELL]40 ± 440 ± 50.71
[EMPTY_CELL]10 ± 210 ± 20.45
[EMPTY_CELL]1030 ± 431023 ± 450.07
[EMPTY_CELL]0.00064 ± 0.000040.00064 ± 0.000040.49
[EMPTY_CELL]0.00061 ± 0.000050.00061 ± 0.000050.98
\", \"cells\": [{\"cell\": \"Characteristic\", \"bbox\": [1, 4, 45, 13]}, {\"cell\": \"Derivation cohort (n = 200)a\", \"bbox\": [152, 2, 242, 13]}, {\"cell\": \"Validation cohort (n = 200)a\", \"bbox\": [306, 2, 395, 13]}, {\"cell\": \"p-value\", \"bbox\": [459, 4, 484, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 38, 27]}, {\"cell\": \"51 ± 18\", \"bbox\": [152, 17, 177, 27]}, {\"cell\": \"48 ± 17\", \"bbox\": [306, 17, 331, 27]}, {\"cell\": \"0.14\", \"bbox\": [463, 17, 478, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 31, 58, 41]}, {\"cell\": \"100 (50%)\", \"bbox\": [152, 31, 185, 41]}, {\"cell\": \"100 (50%)\", \"bbox\": [306, 31, 340, 41]}, {\"cell\": \"1.0\", \"bbox\": [463, 31, 474, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 45, 40, 55]}, {\"cell\": \"173 ± 14\", \"bbox\": [152, 45, 181, 55]}, {\"cell\": \"174 ± 10\", \"bbox\": [306, 45, 335, 55]}, {\"cell\": \"0.44\", \"bbox\": [463, 45, 478, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 59, 40, 69]}, {\"cell\": \"77 ± 16\", \"bbox\": [152, 59, 177, 69]}, {\"cell\": \"78 ± 18\", \"bbox\": [306, 59, 331, 69]}, {\"cell\": \"0.79\", \"bbox\": [463, 59, 478, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 71, 31, 83]}, {\"cell\": \"1.9 ± 0.3\", \"bbox\": [152, 73, 180, 83]}, {\"cell\": \"1.9 ± 0.2\", \"bbox\": [306, 73, 334, 83]}, {\"cell\": \"0.95\", \"bbox\": [463, 73, 478, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 87, 38, 97]}, {\"cell\": \"180 ± 63\", \"bbox\": [152, 87, 181, 97]}, {\"cell\": \"183 ± 63\", \"bbox\": [306, 87, 335, 97]}, {\"cell\": \"0.56\", \"bbox\": [463, 87, 478, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 99, 51, 111]}, {\"cell\": \"94 ± 29\", \"bbox\": [152, 101, 177, 111]}, {\"cell\": \"95 ± 32\", \"bbox\": [306, 101, 331, 111]}, {\"cell\": \"0.61\", \"bbox\": [463, 101, 478, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 115, 36, 125]}, {\"cell\": \"91 ± 57\", \"bbox\": [152, 115, 177, 125]}, {\"cell\": \"88 ± 57\", \"bbox\": [306, 115, 331, 125]}, {\"cell\": \"0.81\", \"bbox\": [463, 115, 478, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 127, 50, 139]}, {\"cell\": \"47 ± 28\", \"bbox\": [152, 129, 177, 139]}, {\"cell\": \"46 ± 29\", \"bbox\": [306, 129, 331, 139]}, {\"cell\": \"0.95\", \"bbox\": [463, 129, 478, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 143, 32, 153]}, {\"cell\": \"89 ± 27\", \"bbox\": [152, 143, 177, 153]}, {\"cell\": \"95 ± 25\", \"bbox\": [306, 143, 331, 153]}, {\"cell\": \"0.02*\", \"bbox\": [463, 143, 481, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 155, 46, 167]}, {\"cell\": \"47 ± 14\", \"bbox\": [152, 157, 177, 167]}, {\"cell\": \"50 ± 11\", \"bbox\": [306, 157, 331, 167]}, {\"cell\": \"0.01*\", \"bbox\": [463, 157, 481, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 171, 30, 181]}, {\"cell\": \"52 ± 12\", \"bbox\": [152, 171, 177, 181]}, {\"cell\": \"54 ± 11\", \"bbox\": [306, 171, 331, 181]}, {\"cell\": \"0.06\", \"bbox\": [463, 171, 478, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 185, 27, 195]}, {\"cell\": \"138 ± 46\", \"bbox\": [152, 185, 181, 195]}, {\"cell\": \"137 ± 53\", \"bbox\": [306, 185, 335, 195]}, {\"cell\": \"0.75\", \"bbox\": [463, 185, 478, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 197, 41, 209]}, {\"cell\": \"71 ± 19\", \"bbox\": [152, 199, 177, 209]}, {\"cell\": \"72 ± 23\", \"bbox\": [306, 199, 331, 209]}, {\"cell\": \"0.95\", \"bbox\": [463, 199, 478, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 213, 27, 223]}, {\"cell\": \"28 ± 4\", \"bbox\": [152, 213, 173, 223]}, {\"cell\": \"28 ± 4\", \"bbox\": [306, 213, 328, 223]}, {\"cell\": \"0.51\", \"bbox\": [463, 213, 478, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 227, 50, 237]}, {\"cell\": \"40 ± 4\", \"bbox\": [152, 227, 173, 237]}, {\"cell\": \"40 ± 5\", \"bbox\": [306, 227, 328, 237]}, {\"cell\": \"0.71\", \"bbox\": [463, 227, 478, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 241, 88, 251]}, {\"cell\": \"10 ± 2\", \"bbox\": [152, 241, 173, 251]}, {\"cell\": \"10 ± 2\", \"bbox\": [306, 241, 328, 251]}, {\"cell\": \"0.45\", \"bbox\": [463, 241, 478, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 255, 63, 265]}, {\"cell\": \"1030 ± 43\", \"bbox\": [152, 255, 185, 265]}, {\"cell\": \"1023 ± 45\", \"bbox\": [306, 255, 339, 265]}, {\"cell\": \"0.07\", \"bbox\": [463, 255, 478, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 267, 74, 279]}, {\"cell\": \"0.00064 ± 0.00004\", \"bbox\": [152, 269, 210, 279]}, {\"cell\": \"0.00064 ± 0.00004\", \"bbox\": [306, 269, 365, 279]}, {\"cell\": \"0.49\", \"bbox\": [463, 269, 478, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 281, 77, 293]}, {\"cell\": \"0.00061 ± 0.00005\", \"bbox\": [152, 283, 210, 293]}, {\"cell\": \"0.00061 ± 0.00005\", \"bbox\": [306, 283, 365, 293]}, {\"cell\": \"0.98\", \"bbox\": [463, 283, 478, 293]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5381013_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Dairy Intake (servings)Pfor trendaHR (95% CI) for one serving/day
VariableCategory 1Category 2Category 3Category 4
Skim/low-fat milk<1/week1 to 4/week5/week to 1.4/day≥1.5/day[EMPTY_CELL][EMPTY_CELL]
Direct updateb1.001.11 (1.05, 1.17)1.16 (1.10, 1.22)1.19 (1.12, 1.26)<0.001[EMPTY_CELL]
Stop updating CVD and cancer1.001.02 (0.97, 1.07)1.07 (1.02, 1.12)1.08 (1.02, 1.15)0.006[EMPTY_CELL]
Stop updating + HTHCc1.000.94 (0.90, 0.99)0.97 (0.93, 1.01)1.02 (0.97, 1.07)0.25[EMPTY_CELL]
Cheese intake<1/week1 to 4/week5/week to 1.4/day≥1.5/day[EMPTY_CELL][EMPTY_CELL]
Direct update1.000.97 (0.93, 1.01)1.07 (1.03, 1.12)1.19 (1.06, 1.33)<0.001[EMPTY_CELL]
Stop updating CVD and cancer1.000.96 (0.92, 1.00)1.01 (0.98, 1.05)1.08 (0.96, 1.20)0.004[EMPTY_CELL]
Stop updating + HTHC1.000.96 (0.92, 1.00)1.00 (0.98, 1.03)1.02 (0.92, 1.13)0.41[EMPTY_CELL]
Yogurt<1/month1 to 3/month1/week≥2/week[EMPTY_CELL][EMPTY_CELL]
Direct update1.001.01 (0.97, 1.06)0.96 (0.92, 1.01)0.91 (0.86, 0.96)<0.001[EMPTY_CELL]
Stop updating CVD and cancer1.001.00 (0.96, 1.05)0.93 (0.89, 0.97)0.88 (0.83, 0.93)<0.001[EMPTY_CELL]
Stop updating + HTHC1.000.97 (0.93, 1.02)0.92 (0.88, 0.97)0.87 (0.82, 0.91)<0.001[EMPTY_CELL]
Ice cream<1/month1 to 3/month1/week≥2/week[EMPTY_CELL][EMPTY_CELL]
Direct update1.000.85 (0.82, 0.89)0.77 (0.73, 0.81)0.68 (0.63, 0.72)<0.001[EMPTY_CELL]
Stop updating CVD and cancer1.000.87 (0.84, 0.91)0.78 (0.74, 0.82)0.74 (0.70, 0.79)<0.001[EMPTY_CELL]
Stop updating + HTHC1.000.96 (0.92, 1.00)0.89 (0.85, 0.94)0.89 (0.84, 0.94)<0.001[EMPTY_CELL]
Whole milk<1/month1 to 3/month1/week≥2/week[EMPTY_CELL][EMPTY_CELL]
Direct update1.001.03 (0.98, 1.10)0.99 (0.94, 1.05)1.12 (1.05, 1.19)<0.001[EMPTY_CELL]
Stop updating CVD and cancer1.001.01 (0.96, 1.07)1.00 (0.94, 1.05)1.08 (1.02, 1.14)0.02[EMPTY_CELL]
Stop updating + HTHC1.000.96 (0.90, 1.01)1.04 (0.98, 1.11)1.03 (0.98, 1.08)0.15[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Dairy Intake (servings)\", \"bbox\": [197, 4, 276, 13]}, {\"cell\": \"Pfor trenda\", \"bbox\": [371, 2, 413, 13]}, {\"cell\": \"HR (95% CI) for one serving/day\", \"bbox\": [426, 4, 484, 22]}, {\"cell\": \"Variable\", \"bbox\": [1, 17, 31, 27]}, {\"cell\": \"Category 1\", \"bbox\": [116, 17, 156, 27]}, {\"cell\": \"Category 2\", \"bbox\": [175, 17, 215, 27]}, {\"cell\": \"Category 3\", \"bbox\": [243, 17, 283, 27]}, {\"cell\": \"Category 4\", \"bbox\": [312, 17, 352, 27]}, {\"cell\": \"Skim/low-fat milk\", \"bbox\": [1, 30, 63, 40]}, {\"cell\": \"<1/week\", \"bbox\": [121, 30, 151, 40]}, {\"cell\": \"1 to 4/week\", \"bbox\": [174, 30, 215, 40]}, {\"cell\": \"5/week to 1.4/day\", \"bbox\": [233, 30, 293, 40]}, {\"cell\": \"≥1.5/day\", \"bbox\": [317, 30, 347, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Direct updateb\", \"bbox\": [1, 43, 50, 54]}, {\"cell\": \"1.00\", \"bbox\": [128, 44, 143, 54]}, {\"cell\": \"1.11 (1.05, 1.17)\", \"bbox\": [169, 44, 220, 54]}, {\"cell\": \"1.16 (1.10, 1.22)\", \"bbox\": [238, 44, 289, 54]}, {\"cell\": \"1.19 (1.12, 1.26)\", \"bbox\": [306, 44, 357, 54]}, {\"cell\": \"<0.001\", \"bbox\": [380, 44, 404, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [430, 44, 481, 54]}, {\"cell\": \"Stop updating CVD and cancer\", \"bbox\": [1, 58, 102, 68]}, {\"cell\": \"1.00\", \"bbox\": [128, 58, 143, 68]}, {\"cell\": \"1.02 (0.97, 1.07)\", \"bbox\": [169, 58, 220, 68]}, {\"cell\": \"1.07 (1.02, 1.12)\", \"bbox\": [238, 58, 289, 68]}, {\"cell\": \"1.08 (1.02, 1.15)\", \"bbox\": [306, 58, 357, 68]}, {\"cell\": \"0.006\", \"bbox\": [382, 58, 401, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [430, 58, 481, 68]}, {\"cell\": \"Stop updating + HTHCc\", \"bbox\": [1, 71, 77, 82]}, {\"cell\": \"1.00\", \"bbox\": [128, 72, 143, 82]}, {\"cell\": \"0.94 (0.90, 0.99)\", \"bbox\": [169, 72, 220, 82]}, {\"cell\": \"0.97 (0.93, 1.01)\", \"bbox\": [238, 72, 289, 82]}, {\"cell\": \"1.02 (0.97, 1.07)\", \"bbox\": [306, 72, 357, 82]}, {\"cell\": \"0.25\", \"bbox\": [384, 72, 399, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [430, 72, 481, 82]}, {\"cell\": \"Cheese intake\", \"bbox\": [1, 86, 51, 96]}, {\"cell\": \"<1/week\", \"bbox\": [121, 86, 151, 96]}, {\"cell\": \"1 to 4/week\", \"bbox\": [174, 86, 215, 96]}, {\"cell\": \"5/week to 1.4/day\", \"bbox\": [233, 86, 293, 96]}, {\"cell\": \"≥1.5/day\", \"bbox\": [317, 86, 347, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Direct update\", \"bbox\": [1, 100, 46, 110]}, {\"cell\": \"1.00\", \"bbox\": [128, 100, 143, 110]}, {\"cell\": \"0.97 (0.93, 1.01)\", \"bbox\": [169, 100, 220, 110]}, {\"cell\": \"1.07 (1.03, 1.12)\", \"bbox\": [238, 100, 289, 110]}, {\"cell\": \"1.19 (1.06, 1.33)\", \"bbox\": [306, 100, 357, 110]}, {\"cell\": \"<0.001\", \"bbox\": [380, 100, 404, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [430, 100, 481, 110]}, {\"cell\": \"Stop updating CVD and cancer\", \"bbox\": [1, 114, 102, 124]}, {\"cell\": \"1.00\", \"bbox\": [128, 114, 143, 124]}, {\"cell\": \"0.96 (0.92, 1.00)\", \"bbox\": [169, 114, 220, 124]}, {\"cell\": \"1.01 (0.98, 1.05)\", \"bbox\": [238, 114, 289, 124]}, {\"cell\": \"1.08 (0.96, 1.20)\", \"bbox\": [306, 114, 357, 124]}, {\"cell\": \"0.004\", \"bbox\": [382, 114, 401, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [430, 114, 481, 124]}, {\"cell\": \"Stop updating + HTHC\", \"bbox\": [1, 128, 75, 138]}, {\"cell\": \"1.00\", \"bbox\": [128, 128, 143, 138]}, {\"cell\": \"0.96 (0.92, 1.00)\", \"bbox\": [169, 128, 220, 138]}, {\"cell\": \"1.00 (0.98, 1.03)\", \"bbox\": [238, 128, 289, 138]}, {\"cell\": \"1.02 (0.92, 1.13)\", \"bbox\": [306, 128, 357, 138]}, {\"cell\": \"0.41\", \"bbox\": [384, 128, 399, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [430, 128, 481, 138]}, {\"cell\": \"Yogurt\", \"bbox\": [1, 142, 26, 152]}, {\"cell\": \"<1/month\", \"bbox\": [118, 142, 153, 152]}, {\"cell\": \"1 to 3/month\", \"bbox\": [172, 142, 217, 152]}, {\"cell\": \"1/week\", \"bbox\": [251, 142, 276, 152]}, {\"cell\": \"≥2/week\", \"bbox\": [317, 142, 347, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Direct update\", \"bbox\": [1, 156, 46, 166]}, {\"cell\": \"1.00\", \"bbox\": [128, 156, 143, 166]}, {\"cell\": \"1.01 (0.97, 1.06)\", \"bbox\": [169, 156, 220, 166]}, {\"cell\": \"0.96 (0.92, 1.01)\", \"bbox\": [238, 156, 289, 166]}, {\"cell\": \"0.91 (0.86, 0.96)\", \"bbox\": [306, 156, 357, 166]}, {\"cell\": \"<0.001\", \"bbox\": [380, 156, 404, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [430, 156, 481, 166]}, {\"cell\": \"Stop updating CVD and cancer\", \"bbox\": [1, 170, 102, 180]}, {\"cell\": \"1.00\", \"bbox\": [128, 170, 143, 180]}, {\"cell\": \"1.00 (0.96, 1.05)\", \"bbox\": [169, 170, 220, 180]}, {\"cell\": \"0.93 (0.89, 0.97)\", \"bbox\": [238, 170, 289, 180]}, {\"cell\": \"0.88 (0.83, 0.93)\", \"bbox\": [306, 170, 357, 180]}, {\"cell\": \"<0.001\", \"bbox\": [380, 170, 404, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [430, 170, 481, 180]}, {\"cell\": \"Stop updating + HTHC\", \"bbox\": [1, 184, 75, 194]}, {\"cell\": \"1.00\", \"bbox\": [128, 184, 143, 194]}, {\"cell\": \"0.97 (0.93, 1.02)\", \"bbox\": [169, 184, 220, 194]}, {\"cell\": \"0.92 (0.88, 0.97)\", \"bbox\": [238, 184, 289, 194]}, {\"cell\": \"0.87 (0.82, 0.91)\", \"bbox\": [306, 184, 357, 194]}, {\"cell\": \"<0.001\", \"bbox\": [380, 184, 404, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [430, 184, 481, 194]}, {\"cell\": \"Ice cream\", \"bbox\": [1, 198, 36, 208]}, {\"cell\": \"<1/month\", \"bbox\": [118, 198, 153, 208]}, {\"cell\": \"1 to 3/month\", \"bbox\": [172, 198, 217, 208]}, {\"cell\": \"1/week\", \"bbox\": [251, 198, 276, 208]}, {\"cell\": \"≥2/week\", \"bbox\": [317, 198, 347, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Direct update\", \"bbox\": [1, 212, 46, 222]}, {\"cell\": \"1.00\", \"bbox\": [128, 212, 143, 222]}, {\"cell\": \"0.85 (0.82, 0.89)\", \"bbox\": [169, 212, 220, 222]}, {\"cell\": \"0.77 (0.73, 0.81)\", \"bbox\": [238, 212, 289, 222]}, {\"cell\": \"0.68 (0.63, 0.72)\", \"bbox\": [306, 212, 357, 222]}, {\"cell\": \"<0.001\", \"bbox\": [380, 212, 404, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [430, 212, 481, 222]}, {\"cell\": \"Stop updating CVD and cancer\", \"bbox\": [1, 226, 102, 236]}, {\"cell\": \"1.00\", \"bbox\": [128, 226, 143, 236]}, {\"cell\": \"0.87 (0.84, 0.91)\", \"bbox\": [169, 226, 220, 236]}, {\"cell\": \"0.78 (0.74, 0.82)\", \"bbox\": [238, 226, 289, 236]}, {\"cell\": \"0.74 (0.70, 0.79)\", \"bbox\": [306, 226, 357, 236]}, {\"cell\": \"<0.001\", \"bbox\": [380, 226, 404, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [430, 226, 481, 236]}, {\"cell\": \"Stop updating + HTHC\", \"bbox\": [1, 240, 75, 250]}, {\"cell\": \"1.00\", \"bbox\": [128, 240, 143, 250]}, {\"cell\": \"0.96 (0.92, 1.00)\", \"bbox\": [169, 240, 220, 250]}, {\"cell\": \"0.89 (0.85, 0.94)\", \"bbox\": [238, 240, 289, 250]}, {\"cell\": \"0.89 (0.84, 0.94)\", \"bbox\": [306, 240, 357, 250]}, {\"cell\": \"<0.001\", \"bbox\": [380, 240, 404, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [430, 240, 481, 250]}, {\"cell\": \"Whole milk\", \"bbox\": [1, 254, 42, 264]}, {\"cell\": \"<1/month\", \"bbox\": [118, 254, 153, 264]}, {\"cell\": \"1 to 3/month\", \"bbox\": [172, 254, 217, 264]}, {\"cell\": \"1/week\", \"bbox\": [251, 254, 276, 264]}, {\"cell\": \"≥2/week\", \"bbox\": [317, 254, 347, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Direct update\", \"bbox\": [1, 268, 46, 278]}, {\"cell\": \"1.00\", \"bbox\": [128, 268, 143, 278]}, {\"cell\": \"1.03 (0.98, 1.10)\", \"bbox\": [169, 268, 220, 278]}, {\"cell\": \"0.99 (0.94, 1.05)\", \"bbox\": [238, 268, 289, 278]}, {\"cell\": \"1.12 (1.05, 1.19)\", \"bbox\": [306, 268, 357, 278]}, {\"cell\": \"<0.001\", \"bbox\": [380, 268, 404, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [430, 268, 481, 278]}, {\"cell\": \"Stop updating CVD and cancer\", \"bbox\": [1, 282, 102, 292]}, {\"cell\": \"1.00\", \"bbox\": [128, 282, 143, 292]}, {\"cell\": \"1.01 (0.96, 1.07)\", \"bbox\": [169, 282, 220, 292]}, {\"cell\": \"1.00 (0.94, 1.05)\", \"bbox\": [238, 282, 289, 292]}, {\"cell\": \"1.08 (1.02, 1.14)\", \"bbox\": [306, 282, 357, 292]}, {\"cell\": \"0.02\", \"bbox\": [384, 282, 399, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [430, 282, 481, 292]}, {\"cell\": \"Stop updating + HTHC\", \"bbox\": [1, 296, 75, 306]}, {\"cell\": \"1.00\", \"bbox\": [128, 296, 143, 306]}, {\"cell\": \"0.96 (0.90, 1.01)\", \"bbox\": [169, 296, 220, 306]}, {\"cell\": \"1.04 (0.98, 1.11)\", \"bbox\": [238, 296, 289, 306]}, {\"cell\": \"1.03 (0.98, 1.08)\", \"bbox\": [306, 296, 357, 306]}, {\"cell\": \"0.15\", \"bbox\": [384, 296, 399, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [430, 296, 481, 306]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4243376_010_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Dimension of inequality
Summary measureDimension with 2 subgroupsNon-ordered dimension with more than 2 subgroupsOrdered dimension with more than 2 subgroups
Absolute measures[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Absolute concentration index (ACI)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Between-group variance (BGV)[EMPTY_CELL]✓*[EMPTY_CELL]
Difference (D)✓✓[EMPTY_CELL]
Mean difference from best performing subgroup (MDB)[EMPTY_CELL]✓*[EMPTY_CELL]
Mean difference from mean (MDM)[EMPTY_CELL]✓*[EMPTY_CELL]
Population attributable risk (PAR)✓*✓*[EMPTY_CELL]
Slope index of inequality (SII)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Relative measures[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Index of disparity (IDIS)[EMPTY_CELL]✓*[EMPTY_CELL]
Index of disparity (weighted) (IDISW)[EMPTY_CELL]✓*[EMPTY_CELL]
Mean log deviation (MLD)[EMPTY_CELL]✓*[EMPTY_CELL]
Population attributable fraction (PAF)✓*✓*[EMPTY_CELL]
Ratio (R)✓✓[EMPTY_CELL]
Relative concentration index (RCI)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Relative index of inequality (RII)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Theil index (TI)[EMPTY_CELL]✓*[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Dimension of inequality\", \"bbox\": [270, 4, 348, 14]}, {\"cell\": \"Summary measure\", \"bbox\": [5, 26, 65, 35]}, {\"cell\": \"Dimension with 2 subgroups\", \"bbox\": [151, 17, 209, 35]}, {\"cell\": \"Non-ordered dimension with more than 2 subgroups\", \"bbox\": [221, 17, 350, 35]}, {\"cell\": \"Ordered dimension with more than 2 subgroups\", \"bbox\": [355, 17, 474, 35]}, {\"cell\": \"Absolute measures\", \"bbox\": [5, 38, 71, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Absolute concentration index (ACI)\", \"bbox\": [5, 47, 117, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [409, 47, 420, 56]}, {\"cell\": \"Between-group variance (BGV)\", \"bbox\": [5, 56, 103, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"✓*\", \"bbox\": [280, 56, 291, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Difference (D)\", \"bbox\": [5, 65, 50, 74]}, {\"cell\": \"✓\", \"bbox\": [176, 65, 184, 72]}, {\"cell\": \"✓\", \"bbox\": [281, 65, 289, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [410, 65, 418, 72]}, {\"cell\": \"Mean difference from best performing subgroup (MDB)\", \"bbox\": [5, 74, 128, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"✓*\", \"bbox\": [280, 74, 291, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Mean difference from mean (MDM)\", \"bbox\": [5, 92, 119, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"✓*\", \"bbox\": [280, 92, 291, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Population attributable risk (PAR)\", \"bbox\": [5, 101, 112, 110]}, {\"cell\": \"✓*\", \"bbox\": [174, 101, 186, 110]}, {\"cell\": \"✓*\", \"bbox\": [280, 101, 291, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [409, 101, 420, 110]}, {\"cell\": \"Slope index of inequality (SII)\", \"bbox\": [5, 110, 100, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [407, 110, 421, 119]}, {\"cell\": \"Relative measures\", \"bbox\": [5, 119, 68, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Index of disparity (IDIS)\", \"bbox\": [5, 128, 81, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"✓*\", \"bbox\": [280, 128, 291, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Index of disparity (weighted) (IDISW)\", \"bbox\": [5, 137, 123, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"✓*\", \"bbox\": [280, 137, 291, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Mean log deviation (MLD)\", \"bbox\": [5, 146, 89, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"✓*\", \"bbox\": [280, 146, 291, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Population attributable fraction (PAF)\", \"bbox\": [5, 155, 125, 164]}, {\"cell\": \"✓*\", \"bbox\": [174, 155, 186, 164]}, {\"cell\": \"✓*\", \"bbox\": [280, 155, 291, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [409, 155, 420, 164]}, {\"cell\": \"Ratio (R)\", \"bbox\": [4, 164, 33, 173]}, {\"cell\": \"✓\", \"bbox\": [176, 164, 184, 172]}, {\"cell\": \"✓\", \"bbox\": [281, 164, 289, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [410, 164, 418, 172]}, {\"cell\": \"Relative concentration index (RCI)\", \"bbox\": [4, 173, 113, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [409, 173, 420, 182]}, {\"cell\": \"Relative index of inequality (RII)\", \"bbox\": [4, 182, 107, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [407, 182, 421, 191]}, {\"cell\": \"Theil index (TI)\", \"bbox\": [4, 191, 54, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"✓*\", \"bbox\": [280, 191, 291, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC6041818_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]DNAProtein
TopologyΔ lnlPvalueΔ lnlPvalue
[EMPTY_CELL]5.70.579BEST0.771
[EMPTY_CELL]BEST0.72616.30.255
[EMPTY_CELL]19.90.003*21.20.007*
[EMPTY_CELL]17.00.0849.50.106
[EMPTY_CELL]15.40.1691.40.623
[EMPTY_CELL]6.60.34413.20.080
[EMPTY_CELL]8.70.12020.40.048*
[EMPTY_CELL]17.50.0516.10.284
[EMPTY_CELL]17.60.1047.00.294
[EMPTY_CELL]3.80.5335.00.402
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"DNA\", \"bbox\": [373, 4, 393, 14]}, {\"cell\": \"Protein\", \"bbox\": [448, 4, 475, 14]}, {\"cell\": \"Topology\", \"bbox\": [4, 27, 38, 36]}, {\"cell\": \"Δ lnl\", \"bbox\": [354, 27, 371, 36]}, {\"cell\": \"Pvalue\", \"bbox\": [390, 27, 413, 36]}, {\"cell\": \"Δ lnl\", \"bbox\": [432, 27, 449, 36]}, {\"cell\": \"Pvalue\", \"bbox\": [468, 27, 491, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 49, 92, 59]}, {\"cell\": \"5.7\", \"bbox\": [356, 49, 368, 59]}, {\"cell\": \"0.579\", \"bbox\": [391, 49, 411, 59]}, {\"cell\": \"BEST\", \"bbox\": [431, 49, 450, 59]}, {\"cell\": \"0.771\", \"bbox\": [469, 49, 490, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 59, 243, 69]}, {\"cell\": \"BEST\", \"bbox\": [352, 59, 372, 69]}, {\"cell\": \"0.726\", \"bbox\": [391, 59, 411, 69]}, {\"cell\": \"16.3\", \"bbox\": [432, 59, 448, 69]}, {\"cell\": \"0.255\", \"bbox\": [469, 59, 490, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 69, 238, 79]}, {\"cell\": \"19.9\", \"bbox\": [354, 69, 370, 79]}, {\"cell\": \"0.003*\", \"bbox\": [389, 69, 413, 79]}, {\"cell\": \"21.2\", \"bbox\": [432, 69, 448, 79]}, {\"cell\": \"0.007*\", \"bbox\": [468, 69, 491, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 80, 237, 89]}, {\"cell\": \"17.0\", \"bbox\": [354, 80, 370, 89]}, {\"cell\": \"0.084\", \"bbox\": [391, 80, 411, 89]}, {\"cell\": \"9.5\", \"bbox\": [434, 80, 446, 89]}, {\"cell\": \"0.106\", \"bbox\": [469, 80, 490, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 90, 238, 100]}, {\"cell\": \"15.4\", \"bbox\": [354, 90, 370, 100]}, {\"cell\": \"0.169\", \"bbox\": [391, 90, 411, 100]}, {\"cell\": \"1.4\", \"bbox\": [434, 90, 446, 100]}, {\"cell\": \"0.623\", \"bbox\": [469, 90, 490, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 100, 111, 110]}, {\"cell\": \"6.6\", \"bbox\": [356, 100, 368, 110]}, {\"cell\": \"0.344\", \"bbox\": [391, 100, 411, 110]}, {\"cell\": \"13.2\", \"bbox\": [432, 100, 448, 110]}, {\"cell\": \"0.080\", \"bbox\": [469, 100, 490, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 110, 101, 120]}, {\"cell\": \"8.7\", \"bbox\": [356, 110, 368, 120]}, {\"cell\": \"0.120\", \"bbox\": [391, 110, 411, 120]}, {\"cell\": \"20.4\", \"bbox\": [432, 110, 448, 120]}, {\"cell\": \"0.048*\", \"bbox\": [468, 110, 491, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 121, 238, 130]}, {\"cell\": \"17.5\", \"bbox\": [354, 121, 370, 130]}, {\"cell\": \"0.051\", \"bbox\": [391, 121, 411, 130]}, {\"cell\": \"6.1\", \"bbox\": [434, 121, 446, 130]}, {\"cell\": \"0.284\", \"bbox\": [469, 121, 490, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 131, 238, 141]}, {\"cell\": \"17.6\", \"bbox\": [354, 131, 370, 141]}, {\"cell\": \"0.104\", \"bbox\": [391, 131, 411, 141]}, {\"cell\": \"7.0\", \"bbox\": [434, 131, 446, 141]}, {\"cell\": \"0.294\", \"bbox\": [469, 131, 490, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 141, 134, 151]}, {\"cell\": \"3.8\", \"bbox\": [356, 141, 368, 151]}, {\"cell\": \"0.533\", \"bbox\": [391, 141, 411, 151]}, {\"cell\": \"5.0\", \"bbox\": [434, 141, 446, 151]}, {\"cell\": \"0.402\", \"bbox\": [469, 141, 490, 151]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC1802082_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Spiked Levela% Recoveryb
Imp-1Imp-2Imp-3Imp-4Imp-5Imp-6Imp-7
[EMPTY_CELL]94.2 ± 3.699.1 ± 2.695.7 ± 3.5104.8 ± 0.4104.7 ± 2.7105.4 ± 2.096.5 ± 3.1
[EMPTY_CELL]96.0 ± 1.6109.1 ± 3.395.5 ± 3.993.2 ± 2.7106.1 ± 1.995.2 ± 3.2103.2 ± 1.3
[EMPTY_CELL]96.8 ± 1.194.1 ± 3.098.9 ± 2.993.8 ± 3.395.8 ± 1.999.1 ± 1.9101.8 ± 1.1
[EMPTY_CELL]92.0 ± 1.794.6 ± 1.393.8 ± 3.194.0 ± 2.8103.3 ± 0.2101.2 ± 1.998.5 ± 2.8
\", \"cells\": [{\"cell\": \"Spiked Levela\", \"bbox\": [3, 3, 45, 33]}, {\"cell\": \"% Recoveryb\", \"bbox\": [210, 1, 289, 19]}, {\"cell\": \"Imp-1\", \"bbox\": [73, 17, 107, 33]}, {\"cell\": \"Imp-2\", \"bbox\": [128, 17, 162, 33]}, {\"cell\": \"Imp-3\", \"bbox\": [183, 17, 217, 33]}, {\"cell\": \"Imp-4\", \"bbox\": [235, 17, 269, 33]}, {\"cell\": \"Imp-5\", \"bbox\": [289, 17, 323, 33]}, {\"cell\": \"Imp-6\", \"bbox\": [342, 17, 376, 33]}, {\"cell\": \"Imp-7\", \"bbox\": [393, 17, 427, 33]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 38, 31, 54]}, {\"cell\": \"94.2 ± 3.6\", \"bbox\": [73, 31, 108, 61]}, {\"cell\": \"99.1 ± 2.6\", \"bbox\": [127, 31, 163, 61]}, {\"cell\": \"95.7 ± 3.5\", \"bbox\": [182, 31, 218, 61]}, {\"cell\": \"104.8 ± 0.4\", \"bbox\": [231, 31, 274, 61]}, {\"cell\": \"104.7 ± 2.7\", \"bbox\": [285, 31, 328, 61]}, {\"cell\": \"105.4 ± 2.0\", \"bbox\": [338, 31, 380, 61]}, {\"cell\": \"96.5 ± 3.1\", \"bbox\": [392, 31, 428, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 66, 29, 82]}, {\"cell\": \"96.0 ± 1.6\", \"bbox\": [73, 59, 108, 89]}, {\"cell\": \"109.1 ± 3.3\", \"bbox\": [124, 59, 166, 89]}, {\"cell\": \"95.5 ± 3.9\", \"bbox\": [182, 59, 218, 89]}, {\"cell\": \"93.2 ± 2.7\", \"bbox\": [235, 59, 270, 89]}, {\"cell\": \"106.1 ± 1.9\", \"bbox\": [285, 59, 328, 89]}, {\"cell\": \"95.2 ± 3.2\", \"bbox\": [341, 59, 377, 89]}, {\"cell\": \"103.2 ± 1.3\", \"bbox\": [389, 59, 431, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 93, 36, 109]}, {\"cell\": \"96.8 ± 1.1\", \"bbox\": [73, 86, 108, 116]}, {\"cell\": \"94.1 ± 3.0\", \"bbox\": [127, 86, 163, 116]}, {\"cell\": \"98.9 ± 2.9\", \"bbox\": [182, 86, 218, 116]}, {\"cell\": \"93.8 ± 3.3\", \"bbox\": [235, 86, 270, 116]}, {\"cell\": \"95.8 ± 1.9\", \"bbox\": [289, 86, 324, 116]}, {\"cell\": \"99.1 ± 1.9\", \"bbox\": [341, 86, 377, 116]}, {\"cell\": \"101.8 ± 1.1\", \"bbox\": [389, 86, 431, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 121, 36, 137]}, {\"cell\": \"92.0 ± 1.7\", \"bbox\": [73, 114, 108, 144]}, {\"cell\": \"94.6 ± 1.3\", \"bbox\": [127, 114, 163, 144]}, {\"cell\": \"93.8 ± 3.1\", \"bbox\": [182, 114, 218, 144]}, {\"cell\": \"94.0 ± 2.8\", \"bbox\": [235, 114, 270, 144]}, {\"cell\": \"103.3 ± 0.2\", \"bbox\": [285, 114, 328, 144]}, {\"cell\": \"101.2 ± 1.9\", \"bbox\": [338, 114, 380, 144]}, {\"cell\": \"98.5 ± 2.8\", \"bbox\": [392, 114, 428, 144]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3791934_010_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
CharacteristicRoutine cohort (cross-sectional)Inception cohort (longitudinal)
[EMPTY_CELL]767106
[EMPTY_CELL]54.1 ± 14.950.5 ± 15.6
[EMPTY_CELL]79.975.2
[EMPTY_CELL]55.378.1
[EMPTY_CELL]8.1 ± 10.6 years11.5 ± 12.5 weeks
[EMPTY_CELL]-3.2 ± 1.3; 1–7.25
[EMPTY_CELL]At cross-sectionAt baseline
[EMPTY_CELL]3 (1;7)7 (4;13)
[EMPTY_CELL]2 (0;6)8 (3;16)
[EMPTY_CELL]23 (14;55)49 (24;70)
[EMPTY_CELL]1.1 (0.5;2.7)5.1 (1.9;17.0)
[EMPTY_CELL]37 (19;53)50 (32;66)
[EMPTY_CELL]37 (18;58)51 (33;66)
[EMPTY_CELL]34 (19;49)44 (31;58)
[EMPTY_CELL]0.875 (0.25;1.5)0.75 (0;1.5)
[EMPTY_CELL]-1 (0;7)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]767/767 (100)a105/106 (99.1%)b
[EMPTY_CELL]720/767 (93.9)104/106 (98.1)b
[EMPTY_CELL]-91/100 (91.0%)
[EMPTY_CELL]-56/80 (70.0%)
\", \"cells\": [{\"cell\": \"Characteristic\", \"bbox\": [5, 9, 54, 19]}, {\"cell\": \"Routine cohort (cross-sectional)\", \"bbox\": [245, 9, 356, 19]}, {\"cell\": \"Inception cohort (longitudinal)\", \"bbox\": [374, 9, 477, 19]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 25, 45, 35]}, {\"cell\": \"767\", \"bbox\": [245, 25, 261, 35]}, {\"cell\": \"106\", \"bbox\": [374, 25, 390, 35]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 41, 109, 51]}, {\"cell\": \"54.1 ± 14.9\", \"bbox\": [245, 41, 288, 51]}, {\"cell\": \"50.5 ± 15.6\", \"bbox\": [374, 41, 418, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 56, 78, 66]}, {\"cell\": \"79.9\", \"bbox\": [245, 56, 263, 66]}, {\"cell\": \"75.2\", \"bbox\": [374, 56, 392, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 72, 132, 82]}, {\"cell\": \"55.3\", \"bbox\": [245, 72, 263, 82]}, {\"cell\": \"78.1\", \"bbox\": [374, 72, 392, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 87, 169, 97]}, {\"cell\": \"8.1 ± 10.6 years\", \"bbox\": [245, 87, 304, 97]}, {\"cell\": \"11.5 ± 12.5 weeks\", \"bbox\": [374, 87, 441, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 103, 189, 113]}, {\"cell\": \"-\", \"bbox\": [245, 103, 250, 113]}, {\"cell\": \"3.2 ± 1.3; 1–7.25\", \"bbox\": [374, 103, 438, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 118, 202, 128]}, {\"cell\": \"At cross-section\", \"bbox\": [245, 118, 303, 128]}, {\"cell\": \"At baseline\", \"bbox\": [374, 118, 414, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 134, 117, 144]}, {\"cell\": \"3 (1;7)\", \"bbox\": [245, 134, 271, 144]}, {\"cell\": \"7 (4;13)\", \"bbox\": [374, 134, 404, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 149, 114, 159]}, {\"cell\": \"2 (0;6)\", \"bbox\": [245, 149, 270, 159]}, {\"cell\": \"8 (3;16)\", \"bbox\": [374, 149, 404, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 165, 105, 175]}, {\"cell\": \"23 (14;55)\", \"bbox\": [245, 165, 284, 175]}, {\"cell\": \"49 (24;70)\", \"bbox\": [374, 165, 414, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 180, 115, 190]}, {\"cell\": \"1.1 (0.5;2.7)\", \"bbox\": [245, 180, 290, 190]}, {\"cell\": \"5.1 (1.9;17.0)\", \"bbox\": [374, 180, 424, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 196, 165, 206]}, {\"cell\": \"37 (19;53)\", \"bbox\": [245, 196, 284, 206]}, {\"cell\": \"50 (32;66)\", \"bbox\": [374, 196, 414, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 211, 197, 221]}, {\"cell\": \"37 (18;58)\", \"bbox\": [245, 211, 284, 221]}, {\"cell\": \"51 (33;66)\", \"bbox\": [374, 211, 414, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 227, 204, 237]}, {\"cell\": \"34 (19;49)\", \"bbox\": [245, 227, 285, 237]}, {\"cell\": \"44 (31;58)\", \"bbox\": [374, 227, 414, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 242, 65, 252]}, {\"cell\": \"0.875 (0.25;1.5)\", \"bbox\": [245, 242, 304, 252]}, {\"cell\": \"0.75 (0;1.5)\", \"bbox\": [374, 242, 417, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 258, 70, 268]}, {\"cell\": \"-\", \"bbox\": [245, 258, 249, 268]}, {\"cell\": \"1 (0;7)\", \"bbox\": [374, 258, 400, 268]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 273, 121, 283]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 289, 239, 299]}, {\"cell\": \"767/767 (100)a\", \"bbox\": [245, 288, 302, 299]}, {\"cell\": \"105/106 (99.1%)b\", \"bbox\": [374, 288, 440, 299]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 304, 205, 314]}, {\"cell\": \"720/767 (93.9)\", \"bbox\": [245, 304, 301, 314]}, {\"cell\": \"104/106 (98.1)b\", \"bbox\": [374, 304, 433, 314]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 320, 178, 330]}, {\"cell\": \"-\", \"bbox\": [245, 320, 250, 330]}, {\"cell\": \"91/100 (91.0%)\", \"bbox\": [374, 320, 432, 330]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 335, 172, 345]}, {\"cell\": \"-\", \"bbox\": [245, 335, 250, 345]}, {\"cell\": \"56/80 (70.0%)\", \"bbox\": [374, 335, 428, 345]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC1175030_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Parameter studiedN (% of total)
Age
≤60 years[EMPTY_CELL]
>60 years[EMPTY_CELL]
Gender
Male[EMPTY_CELL]
Female[EMPTY_CELL]
Tumor penetration
T1[EMPTY_CELL]
T2[EMPTY_CELL]
T3[EMPTY_CELL]
T4[EMPTY_CELL]
Lymph node metastasis
N0[EMPTY_CELL]
N1[EMPTY_CELL]
N2[EMPTY_CELL]
Metastasis
M1[EMPTY_CELL]
Mx[EMPTY_CELL]
Differentiation
Low[EMPTY_CELL]
Medium[EMPTY_CELL]
High[EMPTY_CELL]
Localization
Right colon[EMPTY_CELL]
Left colon[EMPTY_CELL]
Survival
Survived[EMPTY_CELL]
Died[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Parameter studied\", \"bbox\": [0, 8, 74, 19]}, {\"cell\": \"N (% of total)\", \"bbox\": [190, 8, 247, 19]}, {\"cell\": \"Age\", \"bbox\": [0, 31, 19, 42]}, {\"cell\": \" ≤60 years\", \"bbox\": [5, 38, 47, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 38, 239, 57]}, {\"cell\": \" >60 years\", \"bbox\": [5, 58, 47, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 58, 244, 69]}, {\"cell\": \"Gender\", \"bbox\": [0, 74, 32, 85]}, {\"cell\": \" Male\", \"bbox\": [5, 88, 28, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 88, 236, 99]}, {\"cell\": \" Female\", \"bbox\": [5, 102, 37, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 102, 236, 113]}, {\"cell\": \"Tumor penetration\", \"bbox\": [0, 118, 77, 129]}, {\"cell\": \" T1\", \"bbox\": [5, 132, 18, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 132, 239, 143]}, {\"cell\": \" T2\", \"bbox\": [5, 146, 18, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 146, 236, 157]}, {\"cell\": \" T3\", \"bbox\": [5, 160, 18, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 160, 236, 171]}, {\"cell\": \" T4\", \"bbox\": [5, 174, 18, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 174, 244, 185]}, {\"cell\": \"Lymph node metastasis\", \"bbox\": [0, 190, 96, 201]}, {\"cell\": \" N0\", \"bbox\": [5, 204, 20, 215]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 204, 244, 215]}, {\"cell\": \" N1\", \"bbox\": [5, 218, 20, 229]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 218, 244, 229]}, {\"cell\": \" N2\", \"bbox\": [5, 232, 20, 243]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 232, 244, 243]}, {\"cell\": \"Metastasis\", \"bbox\": [0, 248, 45, 259]}, {\"cell\": \" M1\", \"bbox\": [5, 262, 21, 273]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 262, 239, 273]}, {\"cell\": \" Mx\", \"bbox\": [5, 276, 21, 287]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 276, 244, 287]}, {\"cell\": \"Differentiation\", \"bbox\": [0, 292, 62, 303]}, {\"cell\": \" Low\", \"bbox\": [5, 306, 26, 317]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 306, 244, 317]}, {\"cell\": \" Medium\", \"bbox\": [5, 320, 41, 331]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 320, 244, 331]}, {\"cell\": \" High\", \"bbox\": [5, 334, 27, 345]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 334, 236, 345]}, {\"cell\": \"Localization\", \"bbox\": [0, 350, 53, 361]}, {\"cell\": \" Right colon\", \"bbox\": [5, 364, 54, 375]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 364, 244, 375]}, {\"cell\": \" Left colon\", \"bbox\": [5, 378, 49, 389]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 378, 244, 389]}, {\"cell\": \"Survival\", \"bbox\": [0, 394, 36, 405]}, {\"cell\": \" Survived\", \"bbox\": [5, 408, 44, 419]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 408, 244, 419]}, {\"cell\": \" Died\", \"bbox\": [5, 422, 27, 433]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 422, 244, 433]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4337474_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
NameSequenceChargeSource
UniProtPosition
S2TRYWNPKMKPFIFGA+3P0A7V0[EMPTY_CELL]
S2-minus1GHQTRYWNPKMKPFI+3 to +4[EMPTY_CELL][EMPTY_CELL]
S2-minus2VHFGHQTRYWNPKMK+3 to +5[EMPTY_CELL][EMPTY_CELL]
S2-minus3KAGVHFGHQTRYWNP+2 to +4[EMPTY_CELL][EMPTY_CELL]
S2-plus1WNPKMKPFIFGARNK+4[EMPTY_CELL][EMPTY_CELL]
S2-plus2KMKPFIFGARNKVHI+4 to +5[EMPTY_CELL][EMPTY_CELL]
S2-long2QTRYWNPKMKPFIFGAR+4[EMPTY_CELL][EMPTY_CELL]
S2-long4HQTRYWNPKMKPFIFGARN+4 to +5[EMPTY_CELL][EMPTY_CELL]
S2-long6GHQTRYWNPKMKPFIFGARNK+5 to +6[EMPTY_CELL][EMPTY_CELL]
S2-long8FGHQTRYWNPKMKPFIFGARNKV+5 to +6[EMPTY_CELL][EMPTY_CELL]
S2-short2RYWNPKMKPFIFG+3[EMPTY_CELL][EMPTY_CELL]
S2-short4YWNPKMKPFIF+2[EMPTY_CELL][EMPTY_CELL]
S2-short6WNPKMKPFI+2[EMPTY_CELL][EMPTY_CELL]
S2-short8WNPKMKP+2[EMPTY_CELL][EMPTY_CELL]
S3RLGIVKPWNSTWFAN+2P0A7V3[EMPTY_CELL]
T1VGSNSYPHKYNNYEG0 to +1P00651[EMPTY_CELL]
SlpA linkerSGLVPRGS+1-[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Name\", \"bbox\": [1, 4, 21, 13]}, {\"cell\": \"Sequence\", \"bbox\": [102, 4, 135, 13]}, {\"cell\": \"Charge\", \"bbox\": [269, 4, 294, 13]}, {\"cell\": \"Source\", \"bbox\": [365, 4, 389, 13]}, {\"cell\": \"UniProt\", \"bbox\": [365, 17, 391, 27]}, {\"cell\": \"Position\", \"bbox\": [457, 17, 484, 27]}, {\"cell\": \"S2\", \"bbox\": [1, 30, 10, 40]}, {\"cell\": \"TRYWNPKMKPFIFGA\", \"bbox\": [102, 30, 168, 40]}, {\"cell\": \"+3\", \"bbox\": [269, 30, 280, 40]}, {\"cell\": \"P0A7V0\", \"bbox\": [365, 30, 391, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 30, 478, 40]}, {\"cell\": \"S2-minus1\", \"bbox\": [1, 44, 36, 54]}, {\"cell\": \"GHQTRYWNPKMKPFI\", \"bbox\": [102, 44, 170, 54]}, {\"cell\": \"+3 to +4\", \"bbox\": [269, 44, 300, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 44, 478, 54]}, {\"cell\": \"S2-minus2\", \"bbox\": [1, 58, 36, 68]}, {\"cell\": \"VHFGHQTRYWNPKMK\", \"bbox\": [102, 58, 173, 68]}, {\"cell\": \"+3 to +5\", \"bbox\": [269, 58, 300, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 58, 478, 68]}, {\"cell\": \"S2-minus3\", \"bbox\": [1, 72, 36, 82]}, {\"cell\": \"KAGVHFGHQTRYWNP\", \"bbox\": [102, 72, 172, 82]}, {\"cell\": \"+2 to +4\", \"bbox\": [269, 72, 300, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 72, 478, 82]}, {\"cell\": \"S2-plus1\", \"bbox\": [1, 86, 29, 96]}, {\"cell\": \"WNPKMKPFIFGARNK\", \"bbox\": [102, 86, 169, 96]}, {\"cell\": \"+4\", \"bbox\": [269, 86, 280, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 86, 478, 96]}, {\"cell\": \"S2-plus2\", \"bbox\": [1, 100, 29, 110]}, {\"cell\": \"KMKPFIFGARNKVHI\", \"bbox\": [102, 100, 164, 110]}, {\"cell\": \"+4 to +5\", \"bbox\": [269, 100, 300, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 100, 478, 110]}, {\"cell\": \"S2-long2\", \"bbox\": [1, 114, 31, 124]}, {\"cell\": \"QTRYWNPKMKPFIFGAR\", \"bbox\": [102, 114, 177, 124]}, {\"cell\": \"+4\", \"bbox\": [269, 114, 280, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 114, 478, 124]}, {\"cell\": \"S2-long4\", \"bbox\": [1, 128, 31, 138]}, {\"cell\": \"HQTRYWNPKMKPFIFGARN\", \"bbox\": [102, 128, 187, 138]}, {\"cell\": \"+4 to +5\", \"bbox\": [269, 128, 300, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 128, 478, 138]}, {\"cell\": \"S2-long6\", \"bbox\": [1, 142, 31, 152]}, {\"cell\": \"GHQTRYWNPKMKPFIFGARNK\", \"bbox\": [102, 142, 196, 152]}, {\"cell\": \"+5 to +6\", \"bbox\": [269, 142, 300, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 142, 478, 152]}, {\"cell\": \"S2-long8\", \"bbox\": [1, 156, 31, 166]}, {\"cell\": \"FGHQTRYWNPKMKPFIFGARNKV\", \"bbox\": [102, 156, 203, 166]}, {\"cell\": \"+5 to +6\", \"bbox\": [269, 156, 300, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 156, 478, 166]}, {\"cell\": \"S2-short2\", \"bbox\": [1, 170, 32, 180]}, {\"cell\": \"RYWNPKMKPFIFG\", \"bbox\": [102, 170, 159, 180]}, {\"cell\": \"+3\", \"bbox\": [269, 170, 280, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 170, 478, 180]}, {\"cell\": \"S2-short4\", \"bbox\": [1, 184, 32, 194]}, {\"cell\": \"YWNPKMKPFIF\", \"bbox\": [102, 184, 150, 194]}, {\"cell\": \"+2\", \"bbox\": [269, 184, 280, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 184, 478, 194]}, {\"cell\": \"S2-short6\", \"bbox\": [0, 198, 32, 208]}, {\"cell\": \"WNPKMKPFI\", \"bbox\": [102, 198, 143, 208]}, {\"cell\": \"+2\", \"bbox\": [269, 198, 280, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 198, 478, 208]}, {\"cell\": \"S2-short8\", \"bbox\": [1, 212, 32, 222]}, {\"cell\": \"WNPKMKP\", \"bbox\": [102, 212, 137, 222]}, {\"cell\": \"+2\", \"bbox\": [269, 212, 280, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 212, 478, 222]}, {\"cell\": \"S3\", \"bbox\": [1, 226, 10, 236]}, {\"cell\": \"RLGIVKPWNSTWFAN\", \"bbox\": [102, 226, 169, 236]}, {\"cell\": \"+2\", \"bbox\": [269, 226, 280, 236]}, {\"cell\": \"P0A7V3\", \"bbox\": [365, 226, 391, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 226, 478, 236]}, {\"cell\": \"T1\", \"bbox\": [1, 240, 10, 250]}, {\"cell\": \"VGSNSYPHKYNNYEG\", \"bbox\": [102, 240, 169, 250]}, {\"cell\": \"0 to +1\", \"bbox\": [269, 240, 295, 250]}, {\"cell\": \"P00651\", \"bbox\": [365, 240, 390, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 240, 478, 250]}, {\"cell\": \"SlpA linker\", \"bbox\": [1, 254, 36, 264]}, {\"cell\": \"SGLVPRGS\", \"bbox\": [102, 254, 137, 264]}, {\"cell\": \"+1\", \"bbox\": [269, 254, 280, 264]}, {\"cell\": \"-\", \"bbox\": [365, 254, 370, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 254, 461, 264]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5034536_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Socio‐demographicsTotal (n = 803)First‐time testing (n = 412)Ever tested (n = 391)Univariable logistic regressionMultivariable logistic regression
OR (95% CI)p‐valueaOR (95% CI)p‐value
Age in years[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.99 (0.996 to 1.03)0.870.98 (0.95 to 1.02)0.45
Education
High school and below41.1%201 (48.8%)[EMPTY_CELL]1.9 (1.4 to 2.3)0.0001.8 (1.3 to 2.5)0.001
College and university58.9%211 (51.2%)[EMPTY_CELL]1[EMPTY_CELL]1[EMPTY_CELL]
Sex exchanged for money
No70.6%277 (67.2%)[EMPTY_CELL]0.72 (0.5 to 1.0)0.0810.83 (0.57 to 1.2)0.34
Yes19.3%88 (21.4%)[EMPTY_CELL]1[EMPTY_CELL]1[EMPTY_CELL]
No response10.1%47 (11.4%)[EMPTY_CELL]1.05 (0.61 to 1.8)0.851.0 (0.57 to 1.8)0.9
Ever injected drugs
No94.8%383 (93.0%)[EMPTY_CELL]1[EMPTY_CELL]1[EMPTY_CELL]
Yes1.6%9 (2.2%)[EMPTY_CELL]2.22 (0.67 to 7.27)0.1872.2 (0.69 to 7.6)0.17
No response3.6%)20 (4.9%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Income
Below mean41.0%16740.5%[EMPTY_CELL]0.92 (0.61 to 1.3)0.7110.78 (0.51 to 1.2)0.27
Above mean16.3%6916.7%[EMPTY_CELL]1[EMPTY_CELL]1[EMPTY_CELL]
No response42.7%17642.7%[EMPTY_CELL]0.94 (0.63 to 1.4)0.790.84 (0.55 to 1.2)0.42
Residence
Hanoi35.7%13933.7%[EMPTY_CELL]1[EMPTY_CELL]1[EMPTY_CELL]
Ho Chi Minh City64.3%27366.3%[EMPTY_CELL]1.19 (0.89 to 1.59)0.2240.99 (0.72 to 1.3)0.9
\", \"cells\": [{\"cell\": \"Socio‐demographics\", \"bbox\": [1, 41, 74, 50]}, {\"cell\": \"Total (n = 803)\", \"bbox\": [98, 29, 133, 50]}, {\"cell\": \"First‐time testing (n = 412)\", \"bbox\": [143, 29, 206, 50]}, {\"cell\": \"Ever tested (n = 391)\", \"bbox\": [216, 29, 259, 50]}, {\"cell\": \"Univariable logistic regression\", \"bbox\": [289, 8, 359, 30]}, {\"cell\": \"Multivariable logistic regression\", \"bbox\": [390, 20, 505, 30]}, {\"cell\": \"OR (95% CI)\", \"bbox\": [270, 41, 316, 50]}, {\"cell\": \"p‐value\", \"bbox\": [351, 41, 379, 50]}, {\"cell\": \"aOR (95% CI)\", \"bbox\": [400, 41, 450, 50]}, {\"cell\": \"p‐value\", \"bbox\": [475, 41, 503, 50]}, {\"cell\": \"Age in years\", \"bbox\": [0, 61, 45, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.99 (0.996 to 1.03)\", \"bbox\": [270, 61, 341, 70]}, {\"cell\": \"0.87\", \"bbox\": [354, 61, 371, 70]}, {\"cell\": \"0.98 (0.95 to 1.02)\", \"bbox\": [392, 61, 459, 70]}, {\"cell\": \"0.45\", \"bbox\": [478, 61, 495, 70]}, {\"cell\": \"Education\", \"bbox\": [0, 73, 36, 82]}, {\"cell\": \"High school and below\", \"bbox\": [8, 85, 88, 94]}, {\"cell\": \"41.1%\", \"bbox\": [103, 85, 126, 94]}, {\"cell\": \"201 (48.8%)\", \"bbox\": [152, 85, 196, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 85, 260, 94]}, {\"cell\": \"1.9 (1.4 to 2.3)\", \"bbox\": [270, 85, 323, 94]}, {\"cell\": \"0.000\", \"bbox\": [354, 84, 376, 94]}, {\"cell\": \"1.8 (1.3 to 2.5)\", \"bbox\": [392, 85, 445, 94]}, {\"cell\": \"0.001\", \"bbox\": [478, 84, 500, 94]}, {\"cell\": \"College and university\", \"bbox\": [8, 97, 87, 106]}, {\"cell\": \"58.9%\", \"bbox\": [103, 97, 126, 106]}, {\"cell\": \"211 (51.2%)\", \"bbox\": [152, 97, 196, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 97, 260, 106]}, {\"cell\": \"1\", \"bbox\": [270, 97, 276, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [392, 97, 398, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Sex exchanged for money\", \"bbox\": [0, 109, 90, 118]}, {\"cell\": \"No\", \"bbox\": [8, 121, 21, 130]}, {\"cell\": \"70.6%\", \"bbox\": [103, 121, 126, 130]}, {\"cell\": \"277 (67.2%)\", \"bbox\": [152, 121, 196, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 121, 260, 130]}, {\"cell\": \"0.72 (0.5 to 1.0)\", \"bbox\": [270, 121, 328, 130]}, {\"cell\": \"0.081\", \"bbox\": [354, 121, 376, 130]}, {\"cell\": \"0.83 (0.57 to 1.2)\", \"bbox\": [392, 121, 454, 130]}, {\"cell\": \"0.34\", \"bbox\": [478, 121, 495, 130]}, {\"cell\": \"Yes\", \"bbox\": [8, 132, 23, 142]}, {\"cell\": \"19.3%\", \"bbox\": [103, 132, 126, 142]}, {\"cell\": \"88 (21.4%)\", \"bbox\": [157, 132, 196, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 132, 260, 142]}, {\"cell\": \"1\", \"bbox\": [270, 132, 276, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [392, 132, 398, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No response\", \"bbox\": [8, 144, 54, 154]}, {\"cell\": \"10.1%\", \"bbox\": [103, 144, 126, 154]}, {\"cell\": \"47 (11.4%)\", \"bbox\": [157, 144, 196, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 144, 255, 154]}, {\"cell\": \"1.05 (0.61 to 1.8)\", \"bbox\": [270, 144, 332, 154]}, {\"cell\": \"0.85\", \"bbox\": [354, 144, 371, 154]}, {\"cell\": \"1.0 (0.57 to 1.8)\", \"bbox\": [392, 144, 450, 154]}, {\"cell\": \"0.9\", \"bbox\": [478, 144, 491, 154]}, {\"cell\": \"Ever injected drugs\", \"bbox\": [0, 156, 69, 166]}, {\"cell\": \"No\", \"bbox\": [8, 168, 21, 178]}, {\"cell\": \"94.8%\", \"bbox\": [103, 168, 126, 178]}, {\"cell\": \"383 (93.0%)\", \"bbox\": [152, 168, 196, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 168, 260, 178]}, {\"cell\": \"1\", \"bbox\": [270, 168, 276, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [392, 168, 398, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Yes\", \"bbox\": [8, 180, 23, 190]}, {\"cell\": \"1.6%\", \"bbox\": [107, 180, 126, 190]}, {\"cell\": \"9 (2.2%)\", \"bbox\": [161, 180, 192, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [225, 180, 255, 190]}, {\"cell\": \"2.22 (0.67 to 7.27)\", \"bbox\": [270, 180, 337, 190]}, {\"cell\": \"0.187\", \"bbox\": [354, 180, 376, 190]}, {\"cell\": \"2.2 (0.69 to 7.6)\", \"bbox\": [392, 180, 450, 190]}, {\"cell\": \"0.17\", \"bbox\": [478, 180, 495, 190]}, {\"cell\": \"No response\", \"bbox\": [8, 192, 54, 202]}, {\"cell\": \"3.6%)\", \"bbox\": [107, 192, 128, 202]}, {\"cell\": \"20 (4.9%)\", \"bbox\": [157, 192, 192, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [225, 192, 255, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Income\", \"bbox\": [0, 204, 27, 214]}, {\"cell\": \"Below mean\", \"bbox\": [8, 216, 52, 226]}, {\"cell\": \"41.0%\", \"bbox\": [103, 216, 126, 226]}, {\"cell\": \"16740.5%\", \"bbox\": [152, 216, 180, 238]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 216, 243, 238]}, {\"cell\": \"0.92 (0.61 to 1.3)\", \"bbox\": [270, 216, 332, 226]}, {\"cell\": \"0.711\", \"bbox\": [354, 216, 376, 226]}, {\"cell\": \"0.78 (0.51 to 1.2)\", \"bbox\": [392, 216, 454, 226]}, {\"cell\": \"0.27\", \"bbox\": [478, 216, 495, 226]}, {\"cell\": \"Above mean\", \"bbox\": [8, 240, 53, 250]}, {\"cell\": \"16.3%\", \"bbox\": [103, 240, 126, 250]}, {\"cell\": \"6916.7%\", \"bbox\": [156, 240, 180, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 240, 243, 262]}, {\"cell\": \"1\", \"bbox\": [270, 240, 276, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [392, 240, 398, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No response\", \"bbox\": [8, 264, 54, 274]}, {\"cell\": \"42.7%\", \"bbox\": [103, 264, 126, 274]}, {\"cell\": \"17642.7%\", \"bbox\": [152, 264, 180, 285]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 264, 243, 285]}, {\"cell\": \"0.94 (0.63 to 1.4)\", \"bbox\": [270, 264, 332, 274]}, {\"cell\": \"0.79\", \"bbox\": [354, 264, 371, 274]}, {\"cell\": \"0.84 (0.55 to 1.2)\", \"bbox\": [392, 264, 454, 274]}, {\"cell\": \"0.42\", \"bbox\": [478, 264, 495, 274]}, {\"cell\": \"Residence\", \"bbox\": [0, 288, 37, 297]}, {\"cell\": \"Hanoi\", \"bbox\": [8, 300, 31, 309]}, {\"cell\": \"35.7%\", \"bbox\": [103, 300, 126, 309]}, {\"cell\": \"13933.7%\", \"bbox\": [152, 300, 180, 321]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 300, 243, 321]}, {\"cell\": \"1\", \"bbox\": [270, 300, 276, 309]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [392, 300, 398, 309]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ho Chi Minh City\", \"bbox\": [8, 324, 72, 333]}, {\"cell\": \"64.3%\", \"bbox\": [103, 324, 126, 333]}, {\"cell\": \"27366.3%\", \"bbox\": [152, 324, 180, 345]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 324, 243, 345]}, {\"cell\": \"1.19 (0.89 to 1.59)\", \"bbox\": [270, 324, 337, 333]}, {\"cell\": \"0.224\", \"bbox\": [354, 324, 376, 333]}, {\"cell\": \"0.99 (0.72 to 1.3)\", \"bbox\": [392, 324, 454, 333]}, {\"cell\": \"0.9\", \"bbox\": [478, 324, 491, 333]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC6055123_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]distinguishable termintraindividual stability
[EMPTY_CELL]nt1nt2[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]20.50d>.80.20.50d>.80M1(SD1)M2(SD2)t(p)d(CI)
all7656[EMPTY_CELL]520.06(5.10)19.90(6.34).20(.85).03(-.39-.45)
WST↓6654[EMPTY_CELL]418.61(5.54)21.67(6.49)−1.43(.18)-.51(-1.11-.12)
WST↑7776[EMPTY_CELL]619.70(9.23)17.37(7.90)1.50(.16).27(-.31-.85)
age↓7766[EMPTY_CELL]514.58(5.07)16.81(5.34)−1.83(.09)-.43(-1.03-.19)
age↑5544[EMPTY_CELL]423.53(7.46)21.68(6.97).71(.49).26(-.34-.85)
male9996[EMPTY_CELL]69.44(4.86)13.33(7.24)−1.39(.86)-.63(-1.37-.15)
female6656[EMPTY_CELL]422.62(6.57)21.92(6.57).81(.43).11(-.40-.61)
BDIt1↓6656[EMPTY_CELL]519.46(7.35)18.13(7.01).81(.43).19(-.42-.79)
BDIt1↑6655[EMPTY_CELL]519.55(4.95)19.51(6.55).02(.98).01(-.59-.60)
BDIt2↓4446[EMPTY_CELL]522.26(7.80)20.92(6.85).73(.48).18(-.14-.80)
BDIt2↑6666[EMPTY_CELL]516.42(5.77)17.71(6.46)-.79(.45)-.21(-.81-.40)
SCLt1↓6656[EMPTY_CELL]620.08(7.80)17.33(8.50)1.92(.08).34(-.35-1.01)
SCLt1↑7775[EMPTY_CELL]415.75(6.63)19.63(6.89)−1.40(.19)-.58(-1.23-.10)
SCLt2↓5557[EMPTY_CELL]618.02(9.26)14.67(8.93)2.09(.06).37(-.32-1.04)
SCLt2↑6655[EMPTY_CELL]418.97(4.02)21.10(7.31)−1.04(.32)-.36(-1.0-.29)
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"distinguishable term\", \"bbox\": [125, 4, 199, 13]}, {\"cell\": \"intraindividual stability\", \"bbox\": [351, 4, 433, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"nt1\", \"bbox\": [90, 17, 102, 27]}, {\"cell\": \"nt2\", \"bbox\": [221, 17, 233, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"20\", \"bbox\": [37, 30, 72, 40]}, {\"cell\": \".50\", \"bbox\": [84, 30, 121, 40]}, {\"cell\": \"d>.80\", \"bbox\": [133, 30, 155, 40]}, {\"cell\": \".20\", \"bbox\": [167, 30, 204, 40]}, {\"cell\": \".50\", \"bbox\": [216, 30, 253, 40]}, {\"cell\": \"d>.80\", \"bbox\": [265, 30, 287, 40]}, {\"cell\": \"M1(SD1)\", \"bbox\": [303, 30, 332, 40]}, {\"cell\": \"M2(SD2)\", \"bbox\": [351, 30, 380, 40]}, {\"cell\": \"t(p)\", \"bbox\": [405, 30, 419, 40]}, {\"cell\": \"d(CI)\", \"bbox\": [453, 30, 471, 40]}, {\"cell\": \"all\", \"bbox\": [1, 43, 9, 53]}, {\"cell\": \"7\", \"bbox\": [51, 43, 57, 53]}, {\"cell\": \"6\", \"bbox\": [99, 43, 105, 53]}, {\"cell\": \"5\", \"bbox\": [141, 43, 147, 53]}, {\"cell\": \"6\", \"bbox\": [183, 43, 188, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 43, 237, 53]}, {\"cell\": \"5\", \"bbox\": [273, 43, 279, 53]}, {\"cell\": \"20.06(5.10)\", \"bbox\": [299, 43, 335, 53]}, {\"cell\": \"19.90(6.34)\", \"bbox\": [347, 43, 383, 53]}, {\"cell\": \".20(.85)\", \"bbox\": [400, 43, 424, 53]}, {\"cell\": \".03(-.39-.45)\", \"bbox\": [444, 43, 481, 53]}, {\"cell\": \"WST↓\", \"bbox\": [1, 57, 20, 67]}, {\"cell\": \"6\", \"bbox\": [51, 57, 57, 67]}, {\"cell\": \"6\", \"bbox\": [99, 57, 105, 67]}, {\"cell\": \"5\", \"bbox\": [141, 57, 147, 67]}, {\"cell\": \"4\", \"bbox\": [183, 57, 188, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 57, 237, 67]}, {\"cell\": \"4\", \"bbox\": [273, 57, 279, 67]}, {\"cell\": \"18.61(5.54)\", \"bbox\": [299, 57, 335, 67]}, {\"cell\": \"21.67(6.49)\", \"bbox\": [347, 57, 383, 67]}, {\"cell\": \"−1.43(.18)\", \"bbox\": [395, 57, 428, 67]}, {\"cell\": \"-.51(-1.11-.12)\", \"bbox\": [440, 57, 484, 67]}, {\"cell\": \"WST↑\", \"bbox\": [1, 71, 20, 81]}, {\"cell\": \"7\", \"bbox\": [51, 71, 57, 81]}, {\"cell\": \"7\", \"bbox\": [99, 71, 105, 81]}, {\"cell\": \"7\", \"bbox\": [141, 71, 147, 81]}, {\"cell\": \"6\", \"bbox\": [183, 71, 188, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 71, 237, 81]}, {\"cell\": \"6\", \"bbox\": [273, 71, 279, 81]}, {\"cell\": \"19.70(9.23)\", \"bbox\": [299, 71, 335, 81]}, {\"cell\": \"17.37(7.90)\", \"bbox\": [347, 71, 383, 81]}, {\"cell\": \"1.50(.16)\", \"bbox\": [398, 71, 426, 81]}, {\"cell\": \".27(-.31-.85)\", \"bbox\": [444, 71, 481, 81]}, {\"cell\": \"age↓\", \"bbox\": [1, 85, 18, 95]}, {\"cell\": \"7\", \"bbox\": [51, 85, 57, 95]}, {\"cell\": \"7\", \"bbox\": [99, 85, 105, 95]}, {\"cell\": \"6\", \"bbox\": [141, 85, 147, 95]}, {\"cell\": \"6\", \"bbox\": [183, 85, 188, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 85, 237, 95]}, {\"cell\": \"5\", \"bbox\": [273, 85, 279, 95]}, {\"cell\": \"14.58(5.07)\", \"bbox\": [299, 85, 335, 95]}, {\"cell\": \"16.81(5.34)\", \"bbox\": [347, 85, 383, 95]}, {\"cell\": \"−1.83(.09)\", \"bbox\": [395, 85, 428, 95]}, {\"cell\": \"-.43(-1.03-.19)\", \"bbox\": [440, 85, 484, 95]}, {\"cell\": \"age↑\", \"bbox\": [1, 99, 18, 109]}, {\"cell\": \"5\", \"bbox\": [51, 99, 57, 109]}, {\"cell\": \"5\", \"bbox\": [99, 99, 105, 109]}, {\"cell\": \"4\", \"bbox\": [141, 99, 147, 109]}, {\"cell\": \"4\", \"bbox\": [183, 99, 188, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 99, 237, 109]}, {\"cell\": \"4\", \"bbox\": [273, 99, 279, 109]}, {\"cell\": \"23.53(7.46)\", \"bbox\": [299, 99, 335, 109]}, {\"cell\": \"21.68(6.97)\", \"bbox\": [347, 99, 383, 109]}, {\"cell\": \".71(.49)\", \"bbox\": [400, 99, 424, 109]}, {\"cell\": \".26(-.34-.85)\", \"bbox\": [444, 99, 481, 109]}, {\"cell\": \"male\", \"bbox\": [1, 113, 18, 123]}, {\"cell\": \"9\", \"bbox\": [51, 113, 57, 123]}, {\"cell\": \"9\", \"bbox\": [99, 113, 105, 123]}, {\"cell\": \"9\", \"bbox\": [141, 113, 147, 123]}, {\"cell\": \"6\", \"bbox\": [183, 113, 188, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 113, 237, 123]}, {\"cell\": \"6\", \"bbox\": [273, 113, 279, 123]}, {\"cell\": \"9.44(4.86)\", \"bbox\": [301, 113, 333, 123]}, {\"cell\": \"13.33(7.24)\", \"bbox\": [347, 113, 383, 123]}, {\"cell\": \"−1.39(.86)\", \"bbox\": [395, 113, 428, 123]}, {\"cell\": \"-.63(-1.37-.15)\", \"bbox\": [440, 113, 484, 123]}, {\"cell\": \"female\", \"bbox\": [1, 127, 24, 137]}, {\"cell\": \"6\", \"bbox\": [51, 127, 57, 137]}, {\"cell\": \"6\", \"bbox\": [99, 127, 105, 137]}, {\"cell\": \"5\", \"bbox\": [141, 127, 147, 137]}, {\"cell\": \"6\", \"bbox\": [183, 127, 188, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 127, 237, 137]}, {\"cell\": \"4\", \"bbox\": [273, 127, 279, 137]}, {\"cell\": \"22.62(6.57)\", \"bbox\": [299, 127, 335, 137]}, {\"cell\": \"21.92(6.57)\", \"bbox\": [347, 127, 383, 137]}, {\"cell\": \".81(.43)\", \"bbox\": [400, 127, 424, 137]}, {\"cell\": \".11(-.40-.61)\", \"bbox\": [444, 127, 481, 137]}, {\"cell\": \"BDIt1↓\", \"bbox\": [1, 141, 24, 151]}, {\"cell\": \"6\", \"bbox\": [51, 141, 57, 151]}, {\"cell\": \"6\", \"bbox\": [99, 141, 105, 151]}, {\"cell\": \"5\", \"bbox\": [141, 141, 147, 151]}, {\"cell\": \"6\", \"bbox\": [183, 141, 188, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 141, 237, 151]}, {\"cell\": \"5\", \"bbox\": [273, 141, 279, 151]}, {\"cell\": \"19.46(7.35)\", \"bbox\": [299, 141, 335, 151]}, {\"cell\": \"18.13(7.01)\", \"bbox\": [347, 141, 383, 151]}, {\"cell\": \".81(.43)\", \"bbox\": [400, 141, 424, 151]}, {\"cell\": \".19(-.42-.79)\", \"bbox\": [444, 141, 481, 151]}, {\"cell\": \"BDIt1↑\", \"bbox\": [1, 155, 24, 165]}, {\"cell\": \"6\", \"bbox\": [51, 155, 57, 165]}, {\"cell\": \"6\", \"bbox\": [99, 155, 105, 165]}, {\"cell\": \"5\", \"bbox\": [141, 155, 147, 165]}, {\"cell\": \"5\", \"bbox\": [183, 155, 188, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 155, 237, 165]}, {\"cell\": \"5\", \"bbox\": [273, 155, 279, 165]}, {\"cell\": \"19.55(4.95)\", \"bbox\": [299, 155, 335, 165]}, {\"cell\": \"19.51(6.55)\", \"bbox\": [347, 155, 383, 165]}, {\"cell\": \".02(.98)\", \"bbox\": [400, 155, 424, 165]}, {\"cell\": \".01(-.59-.60)\", \"bbox\": [444, 155, 481, 165]}, {\"cell\": \"BDIt2↓\", \"bbox\": [1, 169, 24, 179]}, {\"cell\": \"4\", \"bbox\": [51, 169, 57, 179]}, {\"cell\": \"4\", \"bbox\": [99, 169, 105, 179]}, {\"cell\": \"4\", \"bbox\": [141, 169, 147, 179]}, {\"cell\": \"6\", \"bbox\": [183, 169, 188, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 169, 237, 179]}, {\"cell\": \"5\", \"bbox\": [273, 169, 279, 179]}, {\"cell\": \"22.26(7.80)\", \"bbox\": [299, 169, 335, 179]}, {\"cell\": \"20.92(6.85)\", \"bbox\": [347, 169, 383, 179]}, {\"cell\": \".73(.48)\", \"bbox\": [400, 169, 424, 179]}, {\"cell\": \".18(-.14-.80)\", \"bbox\": [444, 169, 481, 179]}, {\"cell\": \"BDIt2↑\", \"bbox\": [1, 183, 24, 193]}, {\"cell\": \"6\", \"bbox\": [51, 183, 57, 193]}, {\"cell\": \"6\", \"bbox\": [99, 183, 105, 193]}, {\"cell\": \"6\", \"bbox\": [141, 183, 147, 193]}, {\"cell\": \"6\", \"bbox\": [183, 183, 188, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 183, 237, 193]}, {\"cell\": \"5\", \"bbox\": [273, 183, 279, 193]}, {\"cell\": \"16.42(5.77)\", \"bbox\": [299, 183, 335, 193]}, {\"cell\": \"17.71(6.46)\", \"bbox\": [347, 183, 383, 193]}, {\"cell\": \"-.79(.45)\", \"bbox\": [399, 183, 425, 193]}, {\"cell\": \"-.21(-.81-.40)\", \"bbox\": [442, 183, 483, 193]}, {\"cell\": \"SCLt1↓\", \"bbox\": [1, 197, 24, 207]}, {\"cell\": \"6\", \"bbox\": [51, 197, 57, 207]}, {\"cell\": \"6\", \"bbox\": [99, 197, 105, 207]}, {\"cell\": \"5\", \"bbox\": [141, 197, 147, 207]}, {\"cell\": \"6\", \"bbox\": [183, 197, 188, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 197, 237, 207]}, {\"cell\": \"6\", \"bbox\": [273, 197, 279, 207]}, {\"cell\": \"20.08(7.80)\", \"bbox\": [299, 197, 335, 207]}, {\"cell\": \"17.33(8.50)\", \"bbox\": [347, 197, 383, 207]}, {\"cell\": \"1.92(.08)\", \"bbox\": [398, 197, 426, 207]}, {\"cell\": \".34(-.35-1.01)\", \"bbox\": [442, 197, 483, 207]}, {\"cell\": \"SCLt1↑\", \"bbox\": [1, 211, 24, 221]}, {\"cell\": \"7\", \"bbox\": [51, 211, 57, 221]}, {\"cell\": \"7\", \"bbox\": [99, 211, 105, 221]}, {\"cell\": \"7\", \"bbox\": [141, 211, 147, 221]}, {\"cell\": \"5\", \"bbox\": [183, 211, 188, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 211, 237, 221]}, {\"cell\": \"4\", \"bbox\": [273, 211, 279, 221]}, {\"cell\": \"15.75(6.63)\", \"bbox\": [299, 211, 335, 221]}, {\"cell\": \"19.63(6.89)\", \"bbox\": [347, 211, 383, 221]}, {\"cell\": \"−1.40(.19)\", \"bbox\": [395, 211, 428, 221]}, {\"cell\": \"-.58(-1.23-.10)\", \"bbox\": [440, 211, 484, 221]}, {\"cell\": \"SCLt2↓\", \"bbox\": [1, 225, 24, 235]}, {\"cell\": \"5\", \"bbox\": [51, 225, 57, 235]}, {\"cell\": \"5\", \"bbox\": [99, 225, 105, 235]}, {\"cell\": \"5\", \"bbox\": [141, 225, 147, 235]}, {\"cell\": \"7\", \"bbox\": [183, 225, 188, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 225, 237, 235]}, {\"cell\": \"6\", \"bbox\": [273, 225, 279, 235]}, {\"cell\": \"18.02(9.26)\", \"bbox\": [299, 225, 335, 235]}, {\"cell\": \"14.67(8.93)\", \"bbox\": [347, 225, 383, 235]}, {\"cell\": \"2.09(.06)\", \"bbox\": [398, 225, 426, 235]}, {\"cell\": \".37(-.32-1.04)\", \"bbox\": [442, 225, 483, 235]}, {\"cell\": \"SCLt2↑\", \"bbox\": [1, 239, 24, 249]}, {\"cell\": \"6\", \"bbox\": [51, 239, 57, 249]}, {\"cell\": \"6\", \"bbox\": [99, 239, 105, 249]}, {\"cell\": \"5\", \"bbox\": [141, 239, 147, 249]}, {\"cell\": \"5\", \"bbox\": [183, 239, 188, 249]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 239, 237, 249]}, {\"cell\": \"4\", \"bbox\": [273, 239, 279, 249]}, {\"cell\": \"18.97(4.02)\", \"bbox\": [299, 239, 335, 249]}, {\"cell\": \"21.10(7.31)\", \"bbox\": [347, 239, 383, 249]}, {\"cell\": \"−1.04(.32)\", \"bbox\": [395, 239, 428, 249]}, {\"cell\": \"-.36(-1.0-.29)\", \"bbox\": [442, 239, 483, 249]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3514164_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
GeneForward (5′->3′)Reverse (5′->3′)Amplicon
E6FlCACAGGAGCGACCCAGAAACCCGAAAAGCAAAGTCATATACC[EMPTY_CELL]
E6*ICTGCGACGTGAGGTGTATTATGTCCAGGTGTCTTTGCTTT[EMPTY_CELL]
E6allGAGAACTGCAATGTTTCAGGACCTGTATAGTTGTTTGCAGCTCTGTGC[EMPTY_CELL]
B2MGATGAGTATGCCGTGTGCAATCCAAATGCGGCATCT[EMPTY_CELL]
Oct1CAGATCGCACAGGATCTTCAGGATGCACCAACACAAACTG[EMPTY_CELL]
TEF-2AAAGCTCCCACTTGAAAGCAAACTTCCATGTGCACCCTTC[EMPTY_CELL]
NF1GTGTTCCATGTGCGATTACGTCATGTGCCTTTTCAGCTTG[EMPTY_CELL]
YY1ACCTGGCATTGACCTCTCAGTTCTCATGGCCGAGTTATCC[EMPTY_CELL]
cFosAGAATCCGAAGGGAAAGGAACTTCTCCTTCAGCAGGTTGG[EMPTY_CELL]
cJunTGACTGCAAAGATGGAAACGCAGGGTCATGCTCTGTTTCA[EMPTY_CELL]
CEBPβTACTACGAGGCGGACTGCTTAGGTACGGGCTGAAGTCGAT[EMPTY_CELL]
U6CGCTTCGGCAGCACATATACAAAATATGGAACGCTTCACGA[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Gene\", \"bbox\": [4, 6, 28, 16]}, {\"cell\": \"Forward (5′->3′)\", \"bbox\": [69, 2, 142, 17]}, {\"cell\": \"Reverse (5′->3′)\", \"bbox\": [248, 2, 318, 17]}, {\"cell\": \"Amplicon\", \"bbox\": [436, 6, 480, 16]}, {\"cell\": \"E6Fl\", \"bbox\": [4, 23, 26, 34]}, {\"cell\": \"CACAGGAGCGACCCAGAAA\", \"bbox\": [69, 20, 204, 35]}, {\"cell\": \"CCCGAAAAGCAAAGTCATATACC\", \"bbox\": [248, 20, 406, 35]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 23, 473, 34]}, {\"cell\": \"E6*I\", \"bbox\": [4, 40, 26, 51]}, {\"cell\": \"CTGCGACGTGAGGTGTATTA\", \"bbox\": [69, 37, 204, 52]}, {\"cell\": \"TGTCCAGGTGTCTTTGCTTT\", \"bbox\": [248, 37, 382, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [446, 40, 470, 51]}, {\"cell\": \"E6all\", \"bbox\": [4, 57, 28, 68]}, {\"cell\": \"GAGAACTGCAATGTTTCAGGACC\", \"bbox\": [69, 54, 227, 69]}, {\"cell\": \"TGTATAGTTGTTTGCAGCTCTGTGC\", \"bbox\": [248, 54, 414, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [446, 57, 470, 68]}, {\"cell\": \"B2M\", \"bbox\": [4, 74, 27, 85]}, {\"cell\": \"GATGAGTATGCCGTGTG\", \"bbox\": [69, 71, 184, 86]}, {\"cell\": \"CAATCCAAATGCGGCATCT\", \"bbox\": [248, 71, 377, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 71, 473, 86]}, {\"cell\": \"Oct1\", \"bbox\": [4, 91, 26, 102]}, {\"cell\": \"CAGATCGCACAGGATCTTCA\", \"bbox\": [69, 88, 205, 103]}, {\"cell\": \"GGATGCACCAACACAAACTG\", \"bbox\": [248, 88, 388, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [446, 91, 470, 102]}, {\"cell\": \"TEF-2\", \"bbox\": [4, 108, 33, 119]}, {\"cell\": \"AAAGCTCCCACTTGAAAGCA\", \"bbox\": [69, 105, 208, 120]}, {\"cell\": \"AACTTCCATGTGCACCCTTC\", \"bbox\": [248, 105, 383, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [446, 105, 470, 120]}, {\"cell\": \"NF1\", \"bbox\": [4, 125, 24, 136]}, {\"cell\": \"GTGTTCCATGTGCGATTACG\", \"bbox\": [69, 121, 202, 137]}, {\"cell\": \"TCATGTGCCTTTTCAGCTTG\", \"bbox\": [248, 121, 381, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 121, 473, 137]}, {\"cell\": \"YY1\", \"bbox\": [4, 142, 25, 153]}, {\"cell\": \"ACCTGGCATTGACCTCTCAG\", \"bbox\": [69, 138, 204, 154]}, {\"cell\": \"TTCTCATGGCCGAGTTATCC\", \"bbox\": [248, 138, 381, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 138, 473, 154]}, {\"cell\": \"cFos\", \"bbox\": [4, 159, 25, 169]}, {\"cell\": \"AGAATCCGAAGGGAAAGGAA\", \"bbox\": [69, 155, 212, 170]}, {\"cell\": \"CTTCTCCTTCAGCAGGTTGG\", \"bbox\": [248, 155, 384, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 155, 473, 170]}, {\"cell\": \"cJun\", \"bbox\": [4, 176, 26, 186]}, {\"cell\": \"TGACTGCAAAGATGGAAACG\", \"bbox\": [69, 172, 209, 187]}, {\"cell\": \"CAGGGTCATGCTCTGTTTCA\", \"bbox\": [248, 172, 383, 187]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 172, 473, 187]}, {\"cell\": \"CEBPβ\", \"bbox\": [4, 189, 37, 204]}, {\"cell\": \"TACTACGAGGCGGACTGCTT\", \"bbox\": [69, 189, 205, 204]}, {\"cell\": \"AGGTACGGGCTGAAGTCGAT\", \"bbox\": [248, 189, 387, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 189, 473, 204]}, {\"cell\": \"U6\", \"bbox\": [4, 209, 18, 220]}, {\"cell\": \"CGCTTCGGCAGCACATATAC\", \"bbox\": [69, 206, 202, 221]}, {\"cell\": \"AAAATATGGAACGCTTCACGA\", \"bbox\": [249, 206, 393, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 209, 473, 220]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5542257_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Sample characteristicsPercent
Gender[EMPTY_CELL]
Male[EMPTY_CELL]
Female[EMPTY_CELL]
Age (years)[EMPTY_CELL]
18–44[EMPTY_CELL]
45–54[EMPTY_CELL]
55–64[EMPTY_CELL]
≥65[EMPTY_CELL]
Race[EMPTY_CELL]
Fujan[EMPTY_CELL]
China[EMPTY_CELL]
Haka[EMPTY_CELL]
Aboriginal[EMPTY_CELL]
Highest education[EMPTY_CELL]
< High school graduate[EMPTY_CELL]
≥ High school graduate[EMPTY_CELL]
House income[EMPTY_CELL]
≤ US$ 10,000 (NT$330,000)[EMPTY_CELL]
US$ 10,001–30,000 (NT$330,001–990,000)[EMPTY_CELL]
≥ US$ 30,001 (NT$990,001)[EMPTY_CELL]
Unknown[EMPTY_CELL]
Duration of diagnosis (years)[EMPTY_CELL]
1–5[EMPTY_CELL]
6–10[EMPTY_CELL]
≥10[EMPTY_CELL]
Diabetes treatment[EMPTY_CELL]
Oral agent[EMPTY_CELL]
Insulin[EMPTY_CELL]
Both[EMPTY_CELL]
Clinic visit frequency[EMPTY_CELL]
≤ Monthly[EMPTY_CELL]
> Monthly[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Sample characteristics\", \"bbox\": [2, 4, 84, 14]}, {\"cell\": \"Percent\", \"bbox\": [209, 4, 238, 14]}, {\"cell\": \"Gender\", \"bbox\": [2, 17, 31, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Male\", \"bbox\": [12, 29, 32, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 29, 232, 39]}, {\"cell\": \" Female\", \"bbox\": [12, 41, 40, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 41, 232, 52]}, {\"cell\": \"Age (years)\", \"bbox\": [2, 54, 45, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 18–44\", \"bbox\": [12, 67, 36, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 67, 232, 77]}, {\"cell\": \"45–54\", \"bbox\": [12, 79, 36, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 79, 232, 90]}, {\"cell\": \"55–64\", \"bbox\": [12, 92, 36, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 92, 232, 102]}, {\"cell\": \"≥65\", \"bbox\": [12, 104, 29, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 104, 232, 115]}, {\"cell\": \"Race\", \"bbox\": [2, 117, 21, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Fujan\", \"bbox\": [12, 129, 35, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 129, 232, 140]}, {\"cell\": \" China\", \"bbox\": [12, 142, 36, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 142, 232, 152]}, {\"cell\": \" Haka\", \"bbox\": [12, 154, 33, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 154, 232, 165]}, {\"cell\": \" Aboriginal\", \"bbox\": [12, 167, 53, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [217, 167, 230, 177]}, {\"cell\": \"Highest education\", \"bbox\": [2, 180, 70, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"< High school graduate\", \"bbox\": [12, 192, 99, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 192, 232, 203]}, {\"cell\": \"≥ High school graduate\", \"bbox\": [12, 204, 100, 215]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 204, 232, 215]}, {\"cell\": \"House income\", \"bbox\": [2, 217, 56, 228]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"≤ US$ 10,000 (NT$330,000)\", \"bbox\": [12, 230, 117, 240]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 230, 232, 240]}, {\"cell\": \"US$ 10,001–30,000 (NT$330,001–990,000)\", \"bbox\": [12, 242, 169, 253]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 242, 232, 253]}, {\"cell\": \"≥ US$ 30,001 (NT$990,001)\", \"bbox\": [12, 255, 117, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 255, 232, 265]}, {\"cell\": \"Unknown\", \"bbox\": [12, 267, 50, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [217, 267, 230, 278]}, {\"cell\": \"Duration of diagnosis (years)\", \"bbox\": [2, 280, 109, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1–5\", \"bbox\": [12, 292, 28, 303]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 292, 232, 303]}, {\"cell\": \"6–10\", \"bbox\": [12, 305, 32, 315]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 305, 232, 315]}, {\"cell\": \"≥10\", \"bbox\": [12, 317, 29, 328]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 317, 232, 328]}, {\"cell\": \"Diabetes treatment\", \"bbox\": [2, 330, 73, 341]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Oral agent\", \"bbox\": [12, 343, 52, 353]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 343, 232, 353]}, {\"cell\": \"Insulin\", \"bbox\": [12, 355, 40, 366]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [217, 355, 230, 366]}, {\"cell\": \"Both\", \"bbox\": [12, 368, 32, 378]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [217, 368, 230, 378]}, {\"cell\": \"Clinic visit frequency\", \"bbox\": [2, 380, 81, 391]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"≤ Monthly\", \"bbox\": [12, 393, 54, 403]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 393, 232, 403]}, {\"cell\": \"> Monthly\", \"bbox\": [12, 405, 53, 416]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 405, 232, 416]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2952338_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
PeriodHousehold’s wealth quintile, HR (95% CI)
First vs fifthSecond vs fifthThird vs fifthFourth vs fifth
Ifakara[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
2000–20011.30 (1.09–1.55)1.11 (1.01–1.22)[EMPTY_CELL]1.01 (0.96–1.06)
2002–20031.27 (1.11–1.44)1.08 (1.01–1.15)[EMPTY_CELL]1.01 (0.97–1.04)
2004–20051.24 (1.11–1.37)1.04 (0.99–1.10)[EMPTY_CELL]1.01 (0.98–1.04)
2006–20071.21 (1.08–1.35)1.01 (0.96–1.07)[EMPTY_CELL]1.01 (0.98–1.04)
2008–20091.18 (1.02–1.36)0.98 (0.91–1.05)[EMPTY_CELL]1.01 (0.97–1.04)
2010–20111.15 (0.95–1.39)0.95 (0.86–1.05)[EMPTY_CELL]1.01 (0.96–1.06)
Rufiji[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
2000–20011.20 (0.99–1.47)1.00 (0.90–1.10)[EMPTY_CELL]0.99 (0.94–1.04)
2002–20031.25 (1.08–1.45)1.04 (0.96–1.12)[EMPTY_CELL]1.01 (0.97–1.05)
2004–20051.31 (1.16–1.48)1.08 (1.01–1.15)[EMPTY_CELL]1.03 (1.00–1.06)
2006–20071.36 (1.18–1.56)1.12 (1.05–1.20)[EMPTY_CELL]1.05 (1.01–1.08)
2008–20091.42 (1.18–1.70)1.16 (1.06–1.27)[EMPTY_CELL]1.06 (1.02–1.11)
2010–20111.48 (1.15–1.89)1.21 (1.07–1.36)[EMPTY_CELL]1.08 (1.02–1.15)
All[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
2000–20011.27 (1.12–1.45)1.06 (0.99–1.13)[EMPTY_CELL]1.00 (0.97–1.03)
2002–20031.28 (1.16–1.41)1.06 (1.01–1.11)[EMPTY_CELL]1.01 (0.98–1.03)
2004–20051.28 (1.19–1.39)1.06 (1.01–1.10)[EMPTY_CELL]1.02 (0.99–1.04)
2006–20071.29 (1.18–1.40)1.06 (1.01–1.10)[EMPTY_CELL]1.02 (1.00–1.04)
2008–20091.29 (1.15–1.45)1.06 (1.00–1.12)[EMPTY_CELL]1.03 (1.00–1.06)
2010–20111.30 (1.12–1.51)1.06 (0.98–1.14)[EMPTY_CELL]1.04 (1.00–1.08)
\", \"cells\": [{\"cell\": \"Period\", \"bbox\": [3, 5, 27, 16]}, {\"cell\": \"Household’s wealth quintile, HR (95% CI)\", \"bbox\": [116, 5, 251, 16]}, {\"cell\": \"First vs fifth\", \"bbox\": [63, 22, 104, 32]}, {\"cell\": \"Second vs fifth\", \"bbox\": [125, 22, 175, 32]}, {\"cell\": \"Third vs fifth\", \"bbox\": [195, 22, 239, 32]}, {\"cell\": \"Fourth vs fifth\", \"bbox\": [259, 22, 308, 32]}, {\"cell\": \"Ifakara\", \"bbox\": [3, 37, 30, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2000–2001\", \"bbox\": [3, 49, 42, 58]}, {\"cell\": \"1.30 (1.09–1.55)\", \"bbox\": [58, 49, 112, 58]}, {\"cell\": \"1.11 (1.01–1.22)\", \"bbox\": [124, 49, 178, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 49, 245, 58]}, {\"cell\": \"1.01 (0.96–1.06)\", \"bbox\": [257, 49, 312, 58]}, {\"cell\": \"2002–2003\", \"bbox\": [3, 60, 42, 70]}, {\"cell\": \"1.27 (1.11–1.44)\", \"bbox\": [58, 60, 112, 70]}, {\"cell\": \"1.08 (1.01–1.15)\", \"bbox\": [124, 60, 178, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 60, 245, 70]}, {\"cell\": \"1.01 (0.97–1.04)\", \"bbox\": [257, 60, 312, 70]}, {\"cell\": \"2004–2005\", \"bbox\": [3, 72, 42, 82]}, {\"cell\": \"1.24 (1.11–1.37)\", \"bbox\": [58, 72, 112, 82]}, {\"cell\": \"1.04 (0.99–1.10)\", \"bbox\": [124, 72, 178, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 72, 245, 82]}, {\"cell\": \"1.01 (0.98–1.04)\", \"bbox\": [257, 72, 312, 82]}, {\"cell\": \"2006–2007\", \"bbox\": [3, 84, 42, 93]}, {\"cell\": \"1.21 (1.08–1.35)\", \"bbox\": [58, 84, 112, 93]}, {\"cell\": \"1.01 (0.96–1.07)\", \"bbox\": [124, 84, 178, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 84, 245, 93]}, {\"cell\": \"1.01 (0.98–1.04)\", \"bbox\": [257, 84, 312, 93]}, {\"cell\": \"2008–2009\", \"bbox\": [3, 96, 42, 105]}, {\"cell\": \"1.18 (1.02–1.36)\", \"bbox\": [58, 96, 112, 105]}, {\"cell\": \"0.98 (0.91–1.05)\", \"bbox\": [124, 96, 178, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 96, 245, 105]}, {\"cell\": \"1.01 (0.97–1.04)\", \"bbox\": [257, 96, 312, 105]}, {\"cell\": \"2010–2011\", \"bbox\": [3, 107, 42, 117]}, {\"cell\": \"1.15 (0.95–1.39)\", \"bbox\": [58, 107, 112, 117]}, {\"cell\": \"0.95 (0.86–1.05)\", \"bbox\": [124, 107, 178, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 107, 245, 117]}, {\"cell\": \"1.01 (0.96–1.06)\", \"bbox\": [257, 107, 312, 117]}, {\"cell\": \"Rufiji\", \"bbox\": [3, 119, 24, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2000–2001\", \"bbox\": [3, 131, 42, 140]}, {\"cell\": \"1.20 (0.99–1.47)\", \"bbox\": [58, 131, 112, 140]}, {\"cell\": \"1.00 (0.90–1.10)\", \"bbox\": [124, 131, 178, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 131, 245, 140]}, {\"cell\": \"0.99 (0.94–1.04)\", \"bbox\": [257, 131, 312, 140]}, {\"cell\": \"2002–2003\", \"bbox\": [3, 143, 42, 152]}, {\"cell\": \"1.25 (1.08–1.45)\", \"bbox\": [58, 143, 112, 152]}, {\"cell\": \"1.04 (0.96–1.12)\", \"bbox\": [124, 143, 178, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 143, 245, 152]}, {\"cell\": \"1.01 (0.97–1.05)\", \"bbox\": [257, 143, 312, 152]}, {\"cell\": \"2004–2005\", \"bbox\": [3, 154, 42, 164]}, {\"cell\": \"1.31 (1.16–1.48)\", \"bbox\": [58, 154, 112, 164]}, {\"cell\": \"1.08 (1.01–1.15)\", \"bbox\": [124, 154, 178, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 154, 245, 164]}, {\"cell\": \"1.03 (1.00–1.06)\", \"bbox\": [257, 154, 312, 164]}, {\"cell\": \"2006–2007\", \"bbox\": [3, 166, 42, 176]}, {\"cell\": \"1.36 (1.18–1.56)\", \"bbox\": [58, 166, 112, 176]}, {\"cell\": \"1.12 (1.05–1.20)\", \"bbox\": [124, 166, 178, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 166, 245, 176]}, {\"cell\": \"1.05 (1.01–1.08)\", \"bbox\": [257, 166, 312, 176]}, {\"cell\": \"2008–2009\", \"bbox\": [3, 178, 42, 187]}, {\"cell\": \"1.42 (1.18–1.70)\", \"bbox\": [58, 178, 112, 187]}, {\"cell\": \"1.16 (1.06–1.27)\", \"bbox\": [124, 178, 178, 187]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 178, 245, 187]}, {\"cell\": \"1.06 (1.02–1.11)\", \"bbox\": [257, 178, 312, 187]}, {\"cell\": \"2010–2011\", \"bbox\": [3, 190, 42, 199]}, {\"cell\": \"1.48 (1.15–1.89)\", \"bbox\": [58, 190, 112, 199]}, {\"cell\": \"1.21 (1.07–1.36)\", \"bbox\": [124, 190, 178, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 190, 245, 199]}, {\"cell\": \"1.08 (1.02–1.15)\", \"bbox\": [257, 190, 312, 199]}, {\"cell\": \"All\", \"bbox\": [3, 201, 15, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2000–2001\", \"bbox\": [3, 213, 42, 223]}, {\"cell\": \"1.27 (1.12–1.45)\", \"bbox\": [58, 213, 112, 223]}, {\"cell\": \"1.06 (0.99–1.13)\", \"bbox\": [124, 213, 178, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 213, 245, 223]}, {\"cell\": \"1.00 (0.97–1.03)\", \"bbox\": [257, 213, 312, 223]}, {\"cell\": \"2002–2003\", \"bbox\": [3, 225, 42, 234]}, {\"cell\": \"1.28 (1.16–1.41)\", \"bbox\": [58, 225, 112, 234]}, {\"cell\": \"1.06 (1.01–1.11)\", \"bbox\": [124, 225, 178, 234]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 225, 245, 234]}, {\"cell\": \"1.01 (0.98–1.03)\", \"bbox\": [257, 225, 312, 234]}, {\"cell\": \"2004–2005\", \"bbox\": [3, 237, 42, 246]}, {\"cell\": \"1.28 (1.19–1.39)\", \"bbox\": [58, 237, 112, 246]}, {\"cell\": \"1.06 (1.01–1.10)\", \"bbox\": [124, 237, 178, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 237, 245, 246]}, {\"cell\": \"1.02 (0.99–1.04)\", \"bbox\": [257, 237, 312, 246]}, {\"cell\": \"2006–2007\", \"bbox\": [3, 248, 42, 258]}, {\"cell\": \"1.29 (1.18–1.40)\", \"bbox\": [58, 248, 112, 258]}, {\"cell\": \"1.06 (1.01–1.10)\", \"bbox\": [124, 248, 178, 258]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 248, 245, 258]}, {\"cell\": \"1.02 (1.00–1.04)\", \"bbox\": [257, 248, 312, 258]}, {\"cell\": \"2008–2009\", \"bbox\": [3, 260, 42, 270]}, {\"cell\": \"1.29 (1.15–1.45)\", \"bbox\": [58, 260, 112, 270]}, {\"cell\": \"1.06 (1.00–1.12)\", \"bbox\": [124, 260, 178, 270]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 260, 245, 270]}, {\"cell\": \"1.03 (1.00–1.06)\", \"bbox\": [257, 260, 312, 270]}, {\"cell\": \"2010–2011\", \"bbox\": [3, 272, 42, 281]}, {\"cell\": \"1.30 (1.12–1.51)\", \"bbox\": [58, 272, 112, 281]}, {\"cell\": \"1.06 (0.98–1.14)\", \"bbox\": [124, 272, 178, 281]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 272, 245, 281]}, {\"cell\": \"1.04 (1.00–1.08)\", \"bbox\": [257, 272, 312, 281]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4794298_009_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Genetic factor[EMPTY_CELL]≥65 years (n = 122)OR95% CIP value
HLA-Bw428 (53.8)[EMPTY_CELL]0.730.38-1.410.35
HLA-C152 (100.0)[EMPTY_CELL]--0.35
2DL215 (28.8)[EMPTY_CELL]2.691.21-5.960.013
2DS213 (25.0)[EMPTY_CELL]2.571.11-5.950.024
2DS57 (13.5)[EMPTY_CELL]0.330.14-0.800.011
3DS113 (25.0)[EMPTY_CELL]0.420.20-0.860.017
2DL2+HLA-C115 (28.8)[EMPTY_CELL]2.891.29-6.480.008
2DL2+HLA-C1C115 (28.8)[EMPTY_CELL]3.721.60-8.660.0015
2DS2+HLA-C113 (25.0)[EMPTY_CELL]2.791.19-6.550.015
2DS2+HLA-C1C113 (25.0)[EMPTY_CELL]3.731.52-9.200.0027
\", \"cells\": [{\"cell\": \"Genetic factor\", \"bbox\": [4, 6, 66, 16]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [119, 6, 197, 16]}, {\"cell\": \"≥65 years (n = 122)\", \"bbox\": [204, 2, 287, 17]}, {\"cell\": \"OR\", \"bbox\": [317, 6, 334, 16]}, {\"cell\": \"95% CI\", \"bbox\": [381, 6, 416, 16]}, {\"cell\": \"P value\", \"bbox\": [450, 6, 483, 16]}, {\"cell\": \"HLA-Bw4\", \"bbox\": [3, 23, 48, 34]}, {\"cell\": \"28 (53.8)\", \"bbox\": [139, 23, 177, 34]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 23, 265, 34]}, {\"cell\": \"0.73\", \"bbox\": [316, 23, 335, 34]}, {\"cell\": \"0.38-1.41\", \"bbox\": [378, 23, 419, 34]}, {\"cell\": \"0.35\", \"bbox\": [457, 23, 477, 34]}, {\"cell\": \"HLA-C1\", \"bbox\": [3, 40, 41, 51]}, {\"cell\": \"52 (100.0)\", \"bbox\": [136, 40, 180, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [223, 40, 267, 51]}, {\"cell\": \"-\", \"bbox\": [323, 40, 328, 51]}, {\"cell\": \"-\", \"bbox\": [396, 40, 401, 51]}, {\"cell\": \"0.35\", \"bbox\": [457, 40, 477, 51]}, {\"cell\": \"2DL2\", \"bbox\": [3, 57, 29, 68]}, {\"cell\": \"15 (28.8)\", \"bbox\": [139, 57, 177, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 57, 265, 68]}, {\"cell\": \"2.69\", \"bbox\": [316, 57, 335, 68]}, {\"cell\": \"1.21-5.96\", \"bbox\": [378, 57, 419, 68]}, {\"cell\": \"0.013\", \"bbox\": [455, 57, 479, 68]}, {\"cell\": \"2DS2\", \"bbox\": [3, 74, 28, 85]}, {\"cell\": \"13 (25.0)\", \"bbox\": [139, 74, 177, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 74, 264, 85]}, {\"cell\": \"2.57\", \"bbox\": [316, 74, 335, 85]}, {\"cell\": \"1.11-5.95\", \"bbox\": [379, 74, 419, 85]}, {\"cell\": \"0.024\", \"bbox\": [455, 74, 479, 85]}, {\"cell\": \"2DS5\", \"bbox\": [3, 91, 28, 102]}, {\"cell\": \"7 (13.5)\", \"bbox\": [141, 91, 175, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 91, 265, 102]}, {\"cell\": \"0.33\", \"bbox\": [316, 91, 335, 102]}, {\"cell\": \"0.14-0.80\", \"bbox\": [378, 91, 419, 102]}, {\"cell\": \"0.011\", \"bbox\": [455, 91, 479, 102]}, {\"cell\": \"3DS1\", \"bbox\": [3, 108, 28, 119]}, {\"cell\": \"13 (25.0)\", \"bbox\": [139, 108, 177, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 108, 265, 119]}, {\"cell\": \"0.42\", \"bbox\": [316, 108, 335, 119]}, {\"cell\": \"0.20-0.86\", \"bbox\": [378, 108, 419, 119]}, {\"cell\": \"0.017\", \"bbox\": [455, 108, 479, 119]}, {\"cell\": \"2DL2+HLA-C1\", \"bbox\": [3, 125, 70, 136]}, {\"cell\": \"15 (28.8)\", \"bbox\": [139, 125, 177, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 125, 265, 136]}, {\"cell\": \"2.89\", \"bbox\": [316, 125, 335, 136]}, {\"cell\": \"1.29-6.48\", \"bbox\": [378, 125, 419, 136]}, {\"cell\": \"0.008\", \"bbox\": [455, 125, 479, 136]}, {\"cell\": \"2DL2+HLA-C1C1\", \"bbox\": [3, 142, 82, 153]}, {\"cell\": \"15 (28.8)\", \"bbox\": [139, 142, 177, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 142, 262, 153]}, {\"cell\": \"3.72\", \"bbox\": [316, 142, 335, 153]}, {\"cell\": \"1.60-8.66\", \"bbox\": [378, 142, 419, 153]}, {\"cell\": \"0.0015\", \"bbox\": [452, 142, 482, 153]}, {\"cell\": \"2DS2+HLA-C1\", \"bbox\": [3, 158, 69, 170]}, {\"cell\": \"13 (25.0)\", \"bbox\": [139, 158, 177, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 158, 265, 170]}, {\"cell\": \"2.79\", \"bbox\": [316, 158, 335, 170]}, {\"cell\": \"1.19-6.55\", \"bbox\": [378, 158, 419, 170]}, {\"cell\": \"0.015\", \"bbox\": [455, 158, 479, 170]}, {\"cell\": \"2DS2+HLA-C1C1\", \"bbox\": [3, 175, 81, 186]}, {\"cell\": \"13 (25.0)\", \"bbox\": [139, 175, 177, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 175, 262, 186]}, {\"cell\": \"3.73\", \"bbox\": [316, 175, 335, 186]}, {\"cell\": \"1.52-9.20\", \"bbox\": [378, 175, 419, 186]}, {\"cell\": \"0.0027\", \"bbox\": [452, 175, 482, 186]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5929415_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]All patients (N = 20)MRDneg (N = 8)MRDpos (N = 12)
[EMPTY_CELL]59 (42–75)57 (46–70)60 (42–72)
[EMPTY_CELL]7/133/54/8
[EMPTY_CELL]93 (9->140)77107
[EMPTY_CELL]532
[EMPTY_CELL]18 (90%)8 (100%)10 (83%)
[EMPTY_CELL]7.3 (4–22)9.3 (5.7–22)7 (4–12)
[EMPTY_CELL]93 (17–879)202 (17–795)68 (18–879)
[EMPTY_CELL]734
[EMPTY_CELL]550 (30–4396)796 (87–3415)346 (30–4396)
[EMPTY_CELL]8/10/23/4/15/6/1
[EMPTY_CELL]31/3 (33%)2/3 (67%)
[EMPTY_CELL]8% (0–30%)5% (0–20)15% (0–30)
[EMPTY_CELL]17 (85%)710
[EMPTY_CELL]3 (15%)12
[EMPTY_CELL]8 (40%)2/8 (25%)6/8 (75%)
[EMPTY_CELL]14 (70%)6/8 (75%)8/12 (67%)
[EMPTY_CELL]12/18 (67%)6/8 (75%)6/10 (60%)
[EMPTY_CELL]4/73/3 (100%)1/4 (25%)
[EMPTY_CELL]2/31/1 (100%)1/2 (50%)
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"All patients (N = 20)\", \"bbox\": [80, 9, 122, 30]}, {\"cell\": \"MRDneg (N = 8)\", \"bbox\": [137, 7, 175, 30]}, {\"cell\": \"MRDpos (N = 12)\", \"bbox\": [189, 7, 235, 30]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 41, 15, 50]}, {\"cell\": \"59 (42–75)\", \"bbox\": [80, 41, 116, 50]}, {\"cell\": \"57 (46–70)\", \"bbox\": [137, 41, 172, 50]}, {\"cell\": \"60 (42–72)\", \"bbox\": [189, 41, 225, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 56, 42, 65]}, {\"cell\": \"7/13\", \"bbox\": [80, 56, 96, 65]}, {\"cell\": \"3/5\", \"bbox\": [137, 56, 149, 65]}, {\"cell\": \"4/8\", \"bbox\": [189, 56, 201, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 69, 71, 80]}, {\"cell\": \"93 (9->140)\", \"bbox\": [80, 71, 119, 80]}, {\"cell\": \"77\", \"bbox\": [137, 71, 146, 80]}, {\"cell\": \"107\", \"bbox\": [189, 71, 203, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 86, 60, 107]}, {\"cell\": \"5\", \"bbox\": [80, 86, 86, 95]}, {\"cell\": \"3\", \"bbox\": [137, 86, 143, 95]}, {\"cell\": \"2\", \"bbox\": [189, 86, 195, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 113, 62, 122]}, {\"cell\": \"18 (90%)\", \"bbox\": [80, 113, 110, 122]}, {\"cell\": \"8 (100%)\", \"bbox\": [137, 113, 167, 122]}, {\"cell\": \"10 (83%)\", \"bbox\": [189, 113, 219, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 128, 62, 137]}, {\"cell\": \"7.3 (4–22)\", \"bbox\": [80, 128, 113, 137]}, {\"cell\": \"9.3 (5.7–22)\", \"bbox\": [137, 128, 175, 137]}, {\"cell\": \"7 (4–12)\", \"bbox\": [189, 128, 217, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 143, 70, 152]}, {\"cell\": \"93 (17–879)\", \"bbox\": [80, 143, 119, 152]}, {\"cell\": \"202 (17–795)\", \"bbox\": [137, 143, 180, 152]}, {\"cell\": \"68 (18–879)\", \"bbox\": [189, 143, 229, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 157, 68, 167]}, {\"cell\": \"7\", \"bbox\": [80, 157, 86, 167]}, {\"cell\": \"3\", \"bbox\": [137, 157, 143, 167]}, {\"cell\": \"4\", \"bbox\": [189, 157, 195, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 172, 61, 182]}, {\"cell\": \"550 (30–4396)\", \"bbox\": [80, 172, 127, 182]}, {\"cell\": \"796 (87–3415)\", \"bbox\": [137, 172, 183, 182]}, {\"cell\": \"346 (30–4396)\", \"bbox\": [189, 172, 236, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 187, 59, 197]}, {\"cell\": \"8/10/2\", \"bbox\": [80, 187, 103, 197]}, {\"cell\": \"3/4/1\", \"bbox\": [137, 187, 156, 197]}, {\"cell\": \"5/6/1\", \"bbox\": [189, 187, 208, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 202, 50, 212]}, {\"cell\": \"3\", \"bbox\": [80, 202, 86, 212]}, {\"cell\": \"1/3 (33%)\", \"bbox\": [137, 202, 169, 212]}, {\"cell\": \"2/3 (67%)\", \"bbox\": [189, 202, 222, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 217, 47, 227]}, {\"cell\": \"8% (0–30%)\", \"bbox\": [80, 217, 120, 227]}, {\"cell\": \"5% (0–20)\", \"bbox\": [137, 217, 171, 227]}, {\"cell\": \"15% (0–30)\", \"bbox\": [189, 217, 227, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 232, 60, 254]}, {\"cell\": \"17 (85%)\", \"bbox\": [80, 232, 110, 242]}, {\"cell\": \"7\", \"bbox\": [137, 232, 143, 242]}, {\"cell\": \"10\", \"bbox\": [189, 232, 199, 242]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 259, 21, 269]}, {\"cell\": \"3 (15%)\", \"bbox\": [80, 259, 106, 269]}, {\"cell\": \"1\", \"bbox\": [137, 259, 143, 269]}, {\"cell\": \"2\", \"bbox\": [189, 259, 195, 269]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 274, 63, 295]}, {\"cell\": \"8 (40%)\", \"bbox\": [80, 274, 106, 284]}, {\"cell\": \"2/8 (25%)\", \"bbox\": [137, 274, 169, 284]}, {\"cell\": \"6/8 (75%)\", \"bbox\": [189, 274, 222, 284]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 301, 67, 310]}, {\"cell\": \"14 (70%)\", \"bbox\": [80, 301, 110, 310]}, {\"cell\": \"6/8 (75%)\", \"bbox\": [137, 301, 169, 310]}, {\"cell\": \"8/12 (67%)\", \"bbox\": [189, 301, 225, 310]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 316, 51, 325]}, {\"cell\": \"12/18 (67%)\", \"bbox\": [80, 316, 120, 325]}, {\"cell\": \"6/8 (75%)\", \"bbox\": [137, 316, 169, 325]}, {\"cell\": \"6/10 (60%)\", \"bbox\": [189, 316, 225, 325]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 331, 57, 340]}, {\"cell\": \"4/7\", \"bbox\": [80, 331, 92, 340]}, {\"cell\": \"3/3 (100%)\", \"bbox\": [137, 331, 173, 340]}, {\"cell\": \"1/4 (25%)\", \"bbox\": [189, 331, 222, 340]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 346, 49, 355]}, {\"cell\": \"2/3\", \"bbox\": [80, 346, 92, 355]}, {\"cell\": \"1/1 (100%)\", \"bbox\": [137, 346, 173, 355]}, {\"cell\": \"1/2 (50%)\", \"bbox\": [189, 346, 222, 355]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5967299_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Mean level – model 1Random effects – model 2
DisvalueCoef. (95% CI)[EMPTY_CELL]Coef. (95% CI)P value
Lev2 social act.-0.297 (-0.345 to -0.249)[EMPTY_CELL]-0.307 (-0.337 to -0.276)<0.001
Lev3 social act.-0.308 (-0.357 to -0.258)[EMPTY_CELL]-0.304 (-0.334 to -0.274)<0.001
Lev2 travelling-0.202 (-0.250 to -0.154)[EMPTY_CELL]-0.207 (-0.240 to -0.174)<0.001
Lev3 travelling-0.223 (-0.273 to -0.173)[EMPTY_CELL]-0.205 (-0.235 to -0.175)<0.001
Lev2 dependence-0.147 (-0.188 to -0.108)[EMPTY_CELL]-0.156 (-0.181 to -0.131)<0.001
Lev2 speaking-0.147 (-0.187 to -0.107)[EMPTY_CELL]-0.141 (-0.166 to -0.116)<0.001
Constant0.962 (0.905 to 1.020)[EMPTY_CELL]0.961 (0.907 to 1.015)<0.001
N34[EMPTY_CELL]249[EMPTY_CELL]
Adjusted R20.936[EMPTY_CELL]0.373[EMPTY_CELL]
Inconsistencies0[EMPTY_CELL]2[EMPTY_CELL]
Mean absolute error0.041[EMPTY_CELL]0.042[EMPTY_CELL]
No. > 0.0512 (35%)[EMPTY_CELL]13(38%)[EMPTY_CELL]
No. > 0.102 (6%)[EMPTY_CELL]2 (6%)[EMPTY_CELL]
Mean error0.000[EMPTY_CELL]0.004[EMPTY_CELL]
LB8.582[EMPTY_CELL]10.711[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Mean level – model 1\", \"bbox\": [4, 5, 84, 14]}, {\"cell\": \"Random effects – model 2\", \"bbox\": [314, 5, 410, 14]}, {\"cell\": \"Disvalue\", \"bbox\": [4, 27, 35, 36]}, {\"cell\": \"Coef. (95% CI)\", \"bbox\": [124, 27, 176, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [265, 27, 284, 46]}, {\"cell\": \"Coef. (95% CI)\", \"bbox\": [314, 27, 366, 36]}, {\"cell\": \"P value\", \"bbox\": [455, 27, 474, 46]}, {\"cell\": \"Lev2 social act.\", \"bbox\": [4, 58, 57, 68]}, {\"cell\": \"-0.297 (-0.345 to -0.249)\", \"bbox\": [125, 58, 209, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [265, 58, 291, 68]}, {\"cell\": \"-0.307 (-0.337 to -0.276)\", \"bbox\": [314, 58, 398, 68]}, {\"cell\": \"<0.001\", \"bbox\": [455, 58, 480, 68]}, {\"cell\": \"Lev3 social act.\", \"bbox\": [4, 68, 57, 78]}, {\"cell\": \"-0.308 (-0.357 to -0.258)\", \"bbox\": [125, 68, 209, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [265, 68, 291, 78]}, {\"cell\": \"-0.304 (-0.334 to -0.274)\", \"bbox\": [314, 68, 398, 78]}, {\"cell\": \"<0.001\", \"bbox\": [455, 68, 480, 78]}, {\"cell\": \"Lev2 travelling\", \"bbox\": [4, 79, 55, 88]}, {\"cell\": \"-0.202 (-0.250 to -0.154)\", \"bbox\": [124, 79, 209, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [265, 79, 291, 88]}, {\"cell\": \"-0.207 (-0.240 to -0.174)\", \"bbox\": [314, 79, 398, 88]}, {\"cell\": \"<0.001\", \"bbox\": [455, 79, 480, 88]}, {\"cell\": \"Lev3 travelling\", \"bbox\": [4, 89, 55, 99]}, {\"cell\": \"-0.223 (-0.273 to -0.173)\", \"bbox\": [124, 89, 209, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [265, 89, 291, 99]}, {\"cell\": \"-0.205 (-0.235 to -0.175)\", \"bbox\": [314, 89, 398, 99]}, {\"cell\": \"<0.001\", \"bbox\": [455, 89, 480, 99]}, {\"cell\": \"Lev2 dependence\", \"bbox\": [4, 99, 65, 109]}, {\"cell\": \"-0.147 (-0.188 to -0.108)\", \"bbox\": [124, 99, 209, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [265, 99, 291, 109]}, {\"cell\": \"-0.156 (-0.181 to -0.131)\", \"bbox\": [314, 99, 398, 109]}, {\"cell\": \"<0.001\", \"bbox\": [455, 99, 480, 109]}, {\"cell\": \"Lev2 speaking\", \"bbox\": [4, 109, 53, 119]}, {\"cell\": \"-0.147 (-0.187 to -0.107)\", \"bbox\": [124, 109, 209, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [265, 109, 291, 119]}, {\"cell\": \"-0.141 (-0.166 to -0.116)\", \"bbox\": [314, 109, 398, 119]}, {\"cell\": \"<0.001\", \"bbox\": [455, 109, 480, 119]}, {\"cell\": \"Constant\", \"bbox\": [4, 120, 37, 129]}, {\"cell\": \"0.962 (0.905 to 1.020)\", \"bbox\": [124, 120, 201, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [265, 120, 291, 129]}, {\"cell\": \"0.961 (0.907 to 1.015)\", \"bbox\": [314, 120, 390, 129]}, {\"cell\": \"<0.001\", \"bbox\": [455, 120, 480, 129]}, {\"cell\": \"N\", \"bbox\": [4, 130, 12, 138]}, {\"cell\": \"34\", \"bbox\": [124, 130, 135, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"249\", \"bbox\": [314, 130, 328, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Adjusted R2\", \"bbox\": [4, 140, 46, 150]}, {\"cell\": \"0.936\", \"bbox\": [124, 140, 145, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.373\", \"bbox\": [314, 140, 334, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Inconsistencies\", \"bbox\": [4, 150, 56, 160]}, {\"cell\": \"0\", \"bbox\": [124, 150, 131, 160]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2\", \"bbox\": [314, 150, 320, 160]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Mean absolute error\", \"bbox\": [4, 161, 75, 170]}, {\"cell\": \"0.041\", \"bbox\": [124, 161, 145, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.042\", \"bbox\": [314, 161, 334, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No. > 0.05\", \"bbox\": [4, 171, 43, 181]}, {\"cell\": \"12 (35%)\", \"bbox\": [124, 171, 156, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"13(38%)\", \"bbox\": [314, 171, 343, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No. > 0.10\", \"bbox\": [4, 181, 43, 191]}, {\"cell\": \"2 (6%)\", \"bbox\": [124, 181, 148, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2 (6%)\", \"bbox\": [314, 181, 337, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Mean error\", \"bbox\": [4, 192, 42, 199]}, {\"cell\": \"0.000\", \"bbox\": [124, 191, 145, 201]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.004\", \"bbox\": [314, 191, 334, 201]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"LB\", \"bbox\": [4, 202, 15, 211]}, {\"cell\": \"8.582\", \"bbox\": [124, 202, 145, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"10.711\", \"bbox\": [314, 202, 338, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2546377_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Truck location2
Transport phaseTotal time (min)UDBNMDBDSEP-value
N[EMPTY_CELL][EMPTY_CELL]183648[EMPTY_CELL][EMPTY_CELL]
Farm120[EMPTY_CELL]9698962.190.74
Loading5[EMPTY_CELL]1541471465.230.54
Waiting at loading120[EMPTY_CELL]115b129a126a2.610.01
First transport phas190[EMPTY_CELL]1061091042.320.29
First stop30[EMPTY_CELL]9794952.090.88
Second transport phase140[EMPTY_CELL]1051071032.010.22
Second stop15[EMPTY_CELL]9497962.570.93
Third transport phase45[EMPTY_CELL]1061071013.200.51
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Truck location2\", \"bbox\": [255, 4, 330, 18]}, {\"cell\": \"Transport phase\", \"bbox\": [7, 21, 86, 33]}, {\"cell\": \"Total time (min)\", \"bbox\": [132, 21, 211, 33]}, {\"cell\": \"UD\", \"bbox\": [228, 21, 246, 33]}, {\"cell\": \"BN\", \"bbox\": [266, 21, 283, 33]}, {\"cell\": \"MD\", \"bbox\": [300, 21, 320, 33]}, {\"cell\": \"BD\", \"bbox\": [341, 21, 358, 33]}, {\"cell\": \"SE\", \"bbox\": [380, 21, 395, 33]}, {\"cell\": \"P-value\", \"bbox\": [414, 21, 451, 33]}, {\"cell\": \"N\", \"bbox\": [7, 37, 17, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [230, 37, 243, 49]}, {\"cell\": \"18\", \"bbox\": [268, 37, 281, 49]}, {\"cell\": \"36\", \"bbox\": [304, 37, 317, 49]}, {\"cell\": \"48\", \"bbox\": [343, 37, 356, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Farm\", \"bbox\": [7, 52, 35, 64]}, {\"cell\": \"120\", \"bbox\": [162, 52, 181, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [230, 52, 243, 64]}, {\"cell\": \"96\", \"bbox\": [268, 52, 281, 64]}, {\"cell\": \"98\", \"bbox\": [304, 52, 317, 64]}, {\"cell\": \"96\", \"bbox\": [343, 52, 356, 64]}, {\"cell\": \"2.19\", \"bbox\": [377, 52, 398, 64]}, {\"cell\": \"0.74\", \"bbox\": [422, 52, 443, 64]}, {\"cell\": \"Loading\", \"bbox\": [7, 67, 48, 79]}, {\"cell\": \"5\", \"bbox\": [168, 67, 175, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 67, 246, 79]}, {\"cell\": \"154\", \"bbox\": [265, 67, 283, 79]}, {\"cell\": \"147\", \"bbox\": [301, 67, 320, 79]}, {\"cell\": \"146\", \"bbox\": [340, 67, 359, 79]}, {\"cell\": \"5.23\", \"bbox\": [377, 67, 398, 79]}, {\"cell\": \"0.54\", \"bbox\": [422, 67, 443, 79]}, {\"cell\": \"Waiting at loading\", \"bbox\": [7, 82, 96, 94]}, {\"cell\": \"120\", \"bbox\": [162, 82, 181, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 79, 248, 94]}, {\"cell\": \"115b\", \"bbox\": [263, 79, 285, 94]}, {\"cell\": \"129a\", \"bbox\": [299, 79, 321, 94]}, {\"cell\": \"126a\", \"bbox\": [339, 79, 360, 94]}, {\"cell\": \"2.61\", \"bbox\": [377, 82, 398, 94]}, {\"cell\": \"0.01\", \"bbox\": [422, 82, 443, 94]}, {\"cell\": \"First transport phas\", \"bbox\": [7, 97, 108, 109]}, {\"cell\": \"190\", \"bbox\": [162, 97, 181, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 97, 246, 109]}, {\"cell\": \"106\", \"bbox\": [265, 97, 283, 109]}, {\"cell\": \"109\", \"bbox\": [301, 97, 320, 109]}, {\"cell\": \"104\", \"bbox\": [340, 97, 359, 109]}, {\"cell\": \"2.32\", \"bbox\": [377, 97, 398, 109]}, {\"cell\": \"0.29\", \"bbox\": [422, 97, 443, 109]}, {\"cell\": \"First stop\", \"bbox\": [7, 112, 54, 124]}, {\"cell\": \"30\", \"bbox\": [165, 112, 178, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [230, 112, 243, 124]}, {\"cell\": \"97\", \"bbox\": [268, 112, 281, 124]}, {\"cell\": \"94\", \"bbox\": [304, 112, 317, 124]}, {\"cell\": \"95\", \"bbox\": [343, 112, 356, 124]}, {\"cell\": \"2.09\", \"bbox\": [377, 112, 398, 124]}, {\"cell\": \"0.88\", \"bbox\": [422, 112, 443, 124]}, {\"cell\": \"Second transport phase\", \"bbox\": [7, 127, 119, 139]}, {\"cell\": \"140\", \"bbox\": [162, 127, 181, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 127, 246, 139]}, {\"cell\": \"105\", \"bbox\": [265, 127, 283, 139]}, {\"cell\": \"107\", \"bbox\": [301, 127, 320, 139]}, {\"cell\": \"103\", \"bbox\": [340, 127, 359, 139]}, {\"cell\": \"2.01\", \"bbox\": [377, 127, 398, 139]}, {\"cell\": \"0.22\", \"bbox\": [422, 127, 443, 139]}, {\"cell\": \"Second stop\", \"bbox\": [7, 142, 65, 154]}, {\"cell\": \"15\", \"bbox\": [165, 142, 178, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [230, 142, 243, 154]}, {\"cell\": \"94\", \"bbox\": [268, 142, 281, 154]}, {\"cell\": \"97\", \"bbox\": [304, 142, 317, 154]}, {\"cell\": \"96\", \"bbox\": [343, 142, 356, 154]}, {\"cell\": \"2.57\", \"bbox\": [377, 142, 398, 154]}, {\"cell\": \"0.93\", \"bbox\": [422, 142, 443, 154]}, {\"cell\": \"Third transport phase\", \"bbox\": [7, 157, 113, 169]}, {\"cell\": \"45\", \"bbox\": [165, 157, 178, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 157, 246, 169]}, {\"cell\": \"106\", \"bbox\": [265, 157, 283, 169]}, {\"cell\": \"107\", \"bbox\": [301, 157, 320, 169]}, {\"cell\": \"101\", \"bbox\": [340, 157, 359, 169]}, {\"cell\": \"3.20\", \"bbox\": [377, 157, 398, 169]}, {\"cell\": \"0.51\", \"bbox\": [422, 157, 443, 169]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4494372_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Valence ClassificationArousal Classification
First 3.5 sSecond 3.5 sFirst 3.5 sSecond 3.5 s
Participant 144.20[EMPTY_CELL]36.0228.88
Participant 255.30[EMPTY_CELL]35.5035.70
Participant 328.88[EMPTY_CELL]45.6149.39
Participant 442.40[EMPTY_CELL]37.5038.90
Participant 539.90[EMPTY_CELL]40.6044.30
Participant 633.37[EMPTY_CELL]42.6541.02
Participant 740.10[EMPTY_CELL]51.0247.35
Participant 842.80[EMPTY_CELL]43.6746.53
Participant 940.70[EMPTY_CELL]35.4041.40
Participant 1039.00[EMPTY_CELL]54.8050.61
Ave. error rate41.56[EMPTY_CELL]42.2842.48
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Valence Classification\", \"bbox\": [127, 6, 233, 18]}, {\"cell\": \"Arousal Classification\", \"bbox\": [307, 6, 412, 18]}, {\"cell\": \"First 3.5 s\", \"bbox\": [114, 23, 162, 34]}, {\"cell\": \"Second 3.5 s\", \"bbox\": [192, 23, 251, 34]}, {\"cell\": \"First 3.5 s\", \"bbox\": [286, 23, 334, 34]}, {\"cell\": \"Second 3.5 s\", \"bbox\": [377, 23, 436, 34]}, {\"cell\": \"Participant 1\", \"bbox\": [18, 38, 81, 50]}, {\"cell\": \"44.20\", \"bbox\": [125, 38, 152, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 38, 235, 50]}, {\"cell\": \"36.02\", \"bbox\": [296, 38, 323, 50]}, {\"cell\": \"28.88\", \"bbox\": [393, 38, 420, 50]}, {\"cell\": \"Participant 2\", \"bbox\": [18, 53, 81, 65]}, {\"cell\": \"55.30\", \"bbox\": [125, 53, 152, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 53, 235, 65]}, {\"cell\": \"35.50\", \"bbox\": [296, 53, 323, 65]}, {\"cell\": \"35.70\", \"bbox\": [393, 53, 420, 65]}, {\"cell\": \"Participant 3\", \"bbox\": [18, 68, 81, 80]}, {\"cell\": \"28.88\", \"bbox\": [125, 68, 152, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 68, 235, 80]}, {\"cell\": \"45.61\", \"bbox\": [296, 68, 323, 80]}, {\"cell\": \"49.39\", \"bbox\": [393, 68, 420, 80]}, {\"cell\": \"Participant 4\", \"bbox\": [18, 83, 81, 95]}, {\"cell\": \"42.40\", \"bbox\": [125, 83, 152, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 83, 235, 95]}, {\"cell\": \"37.50\", \"bbox\": [296, 83, 323, 95]}, {\"cell\": \"38.90\", \"bbox\": [393, 83, 420, 95]}, {\"cell\": \"Participant 5\", \"bbox\": [18, 98, 81, 110]}, {\"cell\": \"39.90\", \"bbox\": [125, 98, 152, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 98, 235, 110]}, {\"cell\": \"40.60\", \"bbox\": [296, 98, 323, 110]}, {\"cell\": \"44.30\", \"bbox\": [393, 98, 420, 110]}, {\"cell\": \"Participant 6\", \"bbox\": [18, 113, 81, 125]}, {\"cell\": \"33.37\", \"bbox\": [125, 113, 152, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 113, 235, 125]}, {\"cell\": \"42.65\", \"bbox\": [296, 113, 323, 125]}, {\"cell\": \"41.02\", \"bbox\": [393, 113, 420, 125]}, {\"cell\": \"Participant 7\", \"bbox\": [18, 128, 81, 140]}, {\"cell\": \"40.10\", \"bbox\": [125, 128, 152, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 128, 235, 140]}, {\"cell\": \"51.02\", \"bbox\": [296, 128, 323, 140]}, {\"cell\": \"47.35\", \"bbox\": [393, 128, 420, 140]}, {\"cell\": \"Participant 8\", \"bbox\": [18, 143, 81, 155]}, {\"cell\": \"42.80\", \"bbox\": [125, 143, 152, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 143, 235, 155]}, {\"cell\": \"43.67\", \"bbox\": [296, 143, 323, 155]}, {\"cell\": \"46.53\", \"bbox\": [393, 143, 420, 155]}, {\"cell\": \"Participant 9\", \"bbox\": [18, 158, 81, 170]}, {\"cell\": \"40.70\", \"bbox\": [125, 158, 152, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 158, 235, 170]}, {\"cell\": \"35.40\", \"bbox\": [296, 158, 323, 170]}, {\"cell\": \"41.40\", \"bbox\": [393, 158, 420, 170]}, {\"cell\": \"Participant 10\", \"bbox\": [15, 173, 84, 185]}, {\"cell\": \"39.00\", \"bbox\": [125, 173, 152, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 173, 235, 185]}, {\"cell\": \"54.80\", \"bbox\": [296, 173, 323, 185]}, {\"cell\": \"50.61\", \"bbox\": [393, 173, 420, 185]}, {\"cell\": \"Ave. error rate\", \"bbox\": [13, 188, 86, 200]}, {\"cell\": \"41.56\", \"bbox\": [125, 188, 152, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 188, 235, 200]}, {\"cell\": \"42.28\", \"bbox\": [296, 188, 323, 200]}, {\"cell\": \"42.48\", \"bbox\": [393, 188, 420, 200]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4179000_020_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Epitope preproinsulinMHC restrictionrespondersreferences
GAD114-123[EMPTY_CELL]Recent-onset T1D[38, 96, 103]
Transgenic mice
GAD114-122[EMPTY_CELL]Recent-onset T1D[101]
GAD110-118[EMPTY_CELL]Transgenic mice[103]
GAD159-167[EMPTY_CELL]Transgenic mice[103]
GAD476-484[EMPTY_CELL]Transgenic mice[103]
GAD536-545[EMPTY_CELL]Transgenic mice[103]
IAPP5-13[EMPTY_CELL]Recent-onset T1D[98]
IAPP9-17[EMPTY_CELL]At risk[99, 100]
Recent-onset T1D
T1D
IGRP215-223[EMPTY_CELL]Recent-onset T1D[100]
IGRP152-160[EMPTY_CELL]At risk[99, 100]
T1D
IGRP228-236[EMPTY_CELL]Transgenic mice[96, 102]
Recent-onset T1D
IGRP266-273[EMPTY_CELL]Transgenic mice[96, 102]
Recent-onset T1D
IGRP206-214[EMPTY_CELL]Transgenic mice[102]
IGRP337-345[EMPTY_CELL]Transgenic mice[102]
IGRP265-273[EMPTY_CELL]Transgenic mice[102]
GFAP143-151[EMPTY_CELL]At risk[99]
T1D
GFAP214-222[EMPTY_CELL]At risk[99]
T1D
IA-2797-805[EMPTY_CELL]Normal subjects[97]
[EMPTY_CELL][EMPTY_CELL]
IA-2172-180[EMPTY_CELL]Recent-onset T1D[100]
IA-2482-490[EMPTY_CELL]Recent-onset T1D[100]
IA2790-798[EMPTY_CELL]Transgenic mice[103]
IA2805-813[EMPTY_CELL]Transgenic mice[103]
IA2830-839[EMPTY_CELL]Transgenic mice[103]
IA2962-970[EMPTY_CELL]Transgenic mice[103]
\", \"cells\": [{\"cell\": \"Epitope preproinsulin\", \"bbox\": [2, 4, 83, 14]}, {\"cell\": \"MHC restriction\", \"bbox\": [160, 4, 222, 14]}, {\"cell\": \"responders\", \"bbox\": [316, 4, 358, 14]}, {\"cell\": \"references\", \"bbox\": [456, 4, 494, 14]}, {\"cell\": \"GAD114-123\", \"bbox\": [2, 22, 45, 33]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 22, 216, 32]}, {\"cell\": \"Recent-onset T1D\", \"bbox\": [303, 17, 370, 27]}, {\"cell\": \"[38, 96, 103]\", \"bbox\": [451, 22, 499, 32]}, {\"cell\": \"Transgenic mice\", \"bbox\": [307, 29, 367, 39]}, {\"cell\": \"GAD114-122\", \"bbox\": [2, 41, 45, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 41, 216, 52]}, {\"cell\": \"Recent-onset T1D\", \"bbox\": [303, 41, 370, 52]}, {\"cell\": \"[101]\", \"bbox\": [464, 41, 486, 52]}, {\"cell\": \"GAD110-118\", \"bbox\": [2, 54, 45, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 54, 216, 64]}, {\"cell\": \"Transgenic mice\", \"bbox\": [307, 54, 367, 64]}, {\"cell\": \"[103]\", \"bbox\": [464, 54, 486, 64]}, {\"cell\": \"GAD159-167\", \"bbox\": [2, 66, 45, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 66, 216, 77]}, {\"cell\": \"Transgenic mice\", \"bbox\": [307, 66, 367, 77]}, {\"cell\": \"[103]\", \"bbox\": [464, 66, 486, 77]}, {\"cell\": \"GAD476-484\", \"bbox\": [2, 79, 45, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 79, 216, 89]}, {\"cell\": \"Transgenic mice\", \"bbox\": [307, 79, 367, 89]}, {\"cell\": \"[103]\", \"bbox\": [464, 79, 486, 89]}, {\"cell\": \"GAD536-545\", \"bbox\": [2, 91, 45, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 91, 216, 102]}, {\"cell\": \"Transgenic mice\", \"bbox\": [307, 91, 367, 102]}, {\"cell\": \"[103]\", \"bbox\": [464, 91, 486, 102]}, {\"cell\": \"IAPP5-13\", \"bbox\": [2, 104, 36, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 104, 216, 114]}, {\"cell\": \"Recent-onset T1D\", \"bbox\": [303, 104, 370, 114]}, {\"cell\": \"[98]\", \"bbox\": [466, 104, 484, 114]}, {\"cell\": \"IAPP9-17\", \"bbox\": [2, 128, 36, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 128, 216, 138]}, {\"cell\": \"At risk\", \"bbox\": [324, 116, 350, 127]}, {\"cell\": \"[99, 100]\", \"bbox\": [458, 128, 492, 138]}, {\"cell\": \"Recent-onset T1D\", \"bbox\": [303, 129, 370, 139]}, {\"cell\": \"T1D\", \"bbox\": [328, 141, 346, 152]}, {\"cell\": \"IGRP215-223\", \"bbox\": [2, 153, 46, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 153, 216, 164]}, {\"cell\": \"Recent-onset T1D\", \"bbox\": [303, 153, 370, 164]}, {\"cell\": \"[100]\", \"bbox\": [464, 153, 486, 164]}, {\"cell\": \"IGRP152-160\", \"bbox\": [2, 171, 46, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 171, 216, 182]}, {\"cell\": \"At risk\", \"bbox\": [324, 166, 350, 176]}, {\"cell\": \"[99, 100]\", \"bbox\": [458, 171, 492, 182]}, {\"cell\": \"T1D\", \"bbox\": [328, 178, 346, 189]}, {\"cell\": \"IGRP228-236\", \"bbox\": [2, 196, 46, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 196, 216, 207]}, {\"cell\": \"Transgenic mice\", \"bbox\": [307, 191, 367, 201]}, {\"cell\": \"[96, 102]\", \"bbox\": [458, 196, 492, 207]}, {\"cell\": \"Recent-onset T1D\", \"bbox\": [303, 203, 370, 214]}, {\"cell\": \"IGRP266-273\", \"bbox\": [2, 221, 46, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 221, 216, 232]}, {\"cell\": \"Transgenic mice\", \"bbox\": [307, 216, 367, 226]}, {\"cell\": \"[96, 102]\", \"bbox\": [458, 221, 492, 232]}, {\"cell\": \"Recent-onset T1D\", \"bbox\": [303, 228, 370, 239]}, {\"cell\": \"IGRP206-214\", \"bbox\": [2, 241, 46, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 241, 216, 251]}, {\"cell\": \"Transgenic mice\", \"bbox\": [307, 241, 367, 251]}, {\"cell\": \"[102]\", \"bbox\": [464, 241, 486, 251]}, {\"cell\": \"IGRP337-345\", \"bbox\": [2, 253, 46, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 253, 216, 264]}, {\"cell\": \"Transgenic mice\", \"bbox\": [307, 253, 367, 264]}, {\"cell\": \"[102]\", \"bbox\": [464, 253, 486, 264]}, {\"cell\": \"IGRP265-273\", \"bbox\": [2, 266, 46, 277]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 266, 216, 276]}, {\"cell\": \"Transgenic mice\", \"bbox\": [307, 266, 367, 276]}, {\"cell\": \"[102]\", \"bbox\": [464, 266, 486, 276]}, {\"cell\": \"GFAP143-151\", \"bbox\": [2, 289, 47, 300]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 289, 216, 300]}, {\"cell\": \"At risk\", \"bbox\": [324, 284, 350, 295]}, {\"cell\": \"[99]\", \"bbox\": [466, 277, 484, 287]}, {\"cell\": \"T1D\", \"bbox\": [328, 296, 346, 307]}, {\"cell\": \"GFAP214-222\", \"bbox\": [2, 314, 47, 325]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 314, 216, 325]}, {\"cell\": \"At risk\", \"bbox\": [324, 309, 350, 319]}, {\"cell\": \"[99]\", \"bbox\": [466, 302, 484, 312]}, {\"cell\": \"T1D\", \"bbox\": [328, 321, 346, 332]}, {\"cell\": \"IA-2797-805\", \"bbox\": [2, 339, 42, 350]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Normal subjects\", \"bbox\": [307, 334, 367, 344]}, {\"cell\": \"[97]\", \"bbox\": [466, 327, 484, 337]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [303, 346, 370, 357]}, {\"cell\": \"IA-2172-180\", \"bbox\": [2, 359, 42, 370]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 359, 216, 369]}, {\"cell\": \"Recent-onset T1D\", \"bbox\": [303, 359, 370, 369]}, {\"cell\": \"[100]\", \"bbox\": [464, 359, 486, 369]}, {\"cell\": \"IA-2482-490\", \"bbox\": [2, 371, 42, 382]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 371, 216, 382]}, {\"cell\": \"Recent-onset T1D\", \"bbox\": [303, 371, 370, 382]}, {\"cell\": \"[100]\", \"bbox\": [464, 371, 486, 382]}, {\"cell\": \"IA2790-798\", \"bbox\": [2, 384, 39, 395]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 384, 216, 394]}, {\"cell\": \"Transgenic mice\", \"bbox\": [307, 384, 367, 394]}, {\"cell\": \"[103]\", \"bbox\": [464, 384, 486, 394]}, {\"cell\": \"IA2805-813\", \"bbox\": [2, 396, 39, 407]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 396, 216, 407]}, {\"cell\": \"Transgenic mice\", \"bbox\": [307, 396, 367, 407]}, {\"cell\": \"[103]\", \"bbox\": [464, 396, 486, 407]}, {\"cell\": \"IA2830-839\", \"bbox\": [2, 409, 39, 420]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 409, 216, 419]}, {\"cell\": \"Transgenic mice\", \"bbox\": [307, 409, 367, 419]}, {\"cell\": \"[103]\", \"bbox\": [464, 409, 486, 419]}, {\"cell\": \"IA2962-970\", \"bbox\": [2, 421, 39, 432]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 421, 216, 432]}, {\"cell\": \"Transgenic mice\", \"bbox\": [307, 421, 367, 432]}, {\"cell\": \"[103]\", \"bbox\": [464, 421, 486, 432]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3140193_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
CharacteristicsPenicillin non-susceptible(n = 173)Penicillin Susceptible(n = 681)OR 95 % CIp value
N° of cases with informationN° (%) casesN° of cases with informationN° (%) cases
[EMPTY_CELL]170118 (69.4 %)671424 (63.2 %)1.32 [0.92–1.90]0.13
[EMPTY_CELL]162[EMPTY_CELL]651[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]99 (61.1 %)[EMPTY_CELL]218 (33.5 %)4.2 [2.1–8.4]2<0.05
[EMPTY_CELL][EMPTY_CELL]63 (38.9 %)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]10481 (77.9 %)356289 (81.2 %)0.82 [0.47–1.40]0.45
[EMPTY_CELL]61[EMPTY_CELL]177[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]7 (11.5 %)[EMPTY_CELL]7 (3.9 %)3.15 [1.05–9.37]0.03
[EMPTY_CELL][EMPTY_CELL]9 (14.8 %)[EMPTY_CELL]31 (17.5 %)0.81 [0.36–1.82]0.61
[EMPTY_CELL][EMPTY_CELL]13 (21.3 %)[EMPTY_CELL]38 (21.5 %)0.99 [0.48–2.01]0.97
[EMPTY_CELL]8638 (44.2 %)282137 (48.6 %)0.84 [0.50–1.36]0.47
[EMPTY_CELL]15794 (59.9 %)643413 (64.2 %)0.83 [0.58–1.18]0.30
[EMPTY_CELL]16064 (40 %)645195 (30.2 %)1.54 [1.07–2.20]0.01
\", \"cells\": [{\"cell\": \"Characteristics\", \"bbox\": [1, 4, 48, 13]}, {\"cell\": \"Penicillin non-susceptible(n = 173)\", \"bbox\": [122, 4, 232, 13]}, {\"cell\": \"Penicillin Susceptible(n = 681)\", \"bbox\": [261, 4, 357, 13]}, {\"cell\": \"OR 95 % CI\", \"bbox\": [401, 4, 440, 13]}, {\"cell\": \"p value\", \"bbox\": [457, 4, 483, 13]}, {\"cell\": \"N° of cases with information\", \"bbox\": [122, 17, 176, 36]}, {\"cell\": \"N° (%) cases\", \"bbox\": [216, 17, 238, 36]}, {\"cell\": \"N° of cases with information\", \"bbox\": [261, 17, 314, 36]}, {\"cell\": \"N° (%) cases\", \"bbox\": [355, 17, 396, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 39, 18, 49]}, {\"cell\": \"170\", \"bbox\": [122, 39, 135, 49]}, {\"cell\": \"118 (69.4 %)\", \"bbox\": [216, 39, 244, 58]}, {\"cell\": \"671\", \"bbox\": [261, 39, 274, 49]}, {\"cell\": \"424 (63.2 %)\", \"bbox\": [355, 39, 396, 49]}, {\"cell\": \"1.32 [0.92–1.90]\", \"bbox\": [401, 39, 452, 49]}, {\"cell\": \"0.13\", \"bbox\": [457, 39, 472, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 62, 15, 72]}, {\"cell\": \"162\", \"bbox\": [122, 62, 135, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"651\", \"bbox\": [261, 62, 274, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 76, 30, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"99 (61.1 %)\", \"bbox\": [216, 76, 254, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"218 (33.5 %)\", \"bbox\": [355, 76, 396, 86]}, {\"cell\": \"4.2 [2.1–8.4]2\", \"bbox\": [401, 75, 444, 86]}, {\"cell\": \"<0.05\", \"bbox\": [457, 76, 477, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 90, 30, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"63 (38.9 %)\", \"bbox\": [216, 90, 254, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 104, 84, 123]}, {\"cell\": \"104\", \"bbox\": [122, 104, 135, 114]}, {\"cell\": \"81 (77.9 %)\", \"bbox\": [216, 104, 254, 114]}, {\"cell\": \"356\", \"bbox\": [261, 104, 274, 114]}, {\"cell\": \"289 (81.2 %)\", \"bbox\": [355, 104, 396, 114]}, {\"cell\": \"0.82 [0.47–1.40]\", \"bbox\": [401, 104, 452, 114]}, {\"cell\": \"0.45\", \"bbox\": [457, 104, 472, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 127, 113, 137]}, {\"cell\": \"61\", \"bbox\": [122, 127, 132, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"177\", \"bbox\": [261, 127, 274, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 141, 50, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"7 (11.5 %)\", \"bbox\": [216, 141, 250, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"7 (3.9 %)\", \"bbox\": [355, 141, 385, 151]}, {\"cell\": \"3.15 [1.05–9.37]\", \"bbox\": [401, 141, 452, 151]}, {\"cell\": \"0.03\", \"bbox\": [457, 141, 472, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 155, 30, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"9 (14.8 %)\", \"bbox\": [216, 155, 250, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"31 (17.5 %)\", \"bbox\": [355, 155, 393, 165]}, {\"cell\": \"0.81 [0.36–1.82]\", \"bbox\": [401, 155, 452, 165]}, {\"cell\": \"0.61\", \"bbox\": [457, 155, 472, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 169, 28, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"13 (21.3 %)\", \"bbox\": [216, 169, 254, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"38 (21.5 %)\", \"bbox\": [355, 169, 393, 179]}, {\"cell\": \"0.99 [0.48–2.01]\", \"bbox\": [401, 169, 452, 179]}, {\"cell\": \"0.97\", \"bbox\": [457, 169, 472, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 183, 48, 193]}, {\"cell\": \"86\", \"bbox\": [122, 183, 132, 193]}, {\"cell\": \"38 (44.2 %)\", \"bbox\": [216, 183, 254, 193]}, {\"cell\": \"282\", \"bbox\": [261, 183, 274, 193]}, {\"cell\": \"137 (48.6 %)\", \"bbox\": [355, 183, 396, 193]}, {\"cell\": \"0.84 [0.50–1.36]\", \"bbox\": [401, 183, 452, 193]}, {\"cell\": \"0.47\", \"bbox\": [457, 183, 472, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 197, 89, 207]}, {\"cell\": \"157\", \"bbox\": [122, 197, 135, 207]}, {\"cell\": \"94 (59.9 %)\", \"bbox\": [216, 197, 254, 207]}, {\"cell\": \"643\", \"bbox\": [261, 197, 274, 207]}, {\"cell\": \"413 (64.2 %)\", \"bbox\": [355, 197, 396, 207]}, {\"cell\": \"0.83 [0.58–1.18]\", \"bbox\": [401, 197, 452, 207]}, {\"cell\": \"0.30\", \"bbox\": [457, 197, 472, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 211, 22, 221]}, {\"cell\": \"160\", \"bbox\": [122, 211, 135, 221]}, {\"cell\": \"64 (40 %)\", \"bbox\": [216, 211, 249, 221]}, {\"cell\": \"645\", \"bbox\": [261, 211, 274, 221]}, {\"cell\": \"195 (30.2 %)\", \"bbox\": [355, 211, 396, 221]}, {\"cell\": \"1.54 [1.07–2.20]\", \"bbox\": [401, 211, 452, 221]}, {\"cell\": \"0.01\", \"bbox\": [457, 211, 472, 221]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4520018_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
GenotypeFemaleMale
N (%)GastritisDUGUP aP bGastritisDUGUP aP b
MMP-3[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
5A carrier46 (25.1)7 (12.3)8 (22.2)0.040.7128 (34.1)15 (24.6)[EMPTY_CELL]0.220.12
6A/6a137 (74.9)50 (87.7)28 (77.8)[EMPTY_CELL][EMPTY_CELL]54 (65.9)46 (75.4)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
MMP-7[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
A/A150 (82.9)45 (80.4)32 (91.4)[EMPTY_CELL]0.3172 (88.9)52 (86.7)[EMPTY_CELL]0.690.06
G carrier31 (17.1)11 (19.6)3 (8.6)0.67[EMPTY_CELL]9 (11.1)8 (13.3)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
MMP-9[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
A carrier78 (42.6)19 (33.3)15 (41.7)0.210.9225 (30.5)22 (36.1)[EMPTY_CELL]0.480.14
G/G105 (57.4)38 (66.7)21 (58.3)[EMPTY_CELL][EMPTY_CELL]57 (69.5)39 (63.9)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
TIMP-1[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
♀ T carrier♂ T148 (80.9)41 (73.2)29 (80.6)0.220.9746 (56.8)[EMPTY_CELL]26 (51.0)0.480.51
C/CC35 (19.1)15 (26.8)7 (19.4)[EMPTY_CELL][EMPTY_CELL]35 (43.2)[EMPTY_CELL]25 (49.0)[EMPTY_CELL][EMPTY_CELL]
TIMP-2[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
C carrier54 (30.2)17 (32.1)10 (28.6)0.790.8527 (33.3)20 (32.3)[EMPTY_CELL]0.890.34
G/G125 (69.8)36 (67.9)25 (71.4)[EMPTY_CELL][EMPTY_CELL]54 (66.7)42 (67.7)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Genotype\", \"bbox\": [1, 4, 36, 13]}, {\"cell\": \"Female\", \"bbox\": [171, 4, 198, 13]}, {\"cell\": \"Male\", \"bbox\": [377, 4, 396, 13]}, {\"cell\": \"N (%)\", \"bbox\": [0, 17, 22, 27]}, {\"cell\": \"Gastritis\", \"bbox\": [91, 17, 122, 27]}, {\"cell\": \"DU\", \"bbox\": [148, 17, 160, 27]}, {\"cell\": \"GU\", \"bbox\": [193, 17, 206, 27]}, {\"cell\": \"P a\", \"bbox\": [233, 16, 245, 25]}, {\"cell\": \"P b\", \"bbox\": [265, 16, 277, 25]}, {\"cell\": \"Gastritis\", \"bbox\": [295, 17, 325, 27]}, {\"cell\": \"DU\", \"bbox\": [349, 17, 362, 27]}, {\"cell\": \"GU\", \"bbox\": [395, 17, 407, 27]}, {\"cell\": \"P a\", \"bbox\": [434, 16, 446, 25]}, {\"cell\": \"P b\", \"bbox\": [465, 16, 477, 25]}, {\"cell\": \"MMP-3\", \"bbox\": [1, 31, 25, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 5A carrier\", \"bbox\": [15, 43, 48, 51]}, {\"cell\": \"46 (25.1)\", \"bbox\": [92, 43, 121, 51]}, {\"cell\": \"7 (12.3)\", \"bbox\": [141, 43, 167, 51]}, {\"cell\": \"8 (22.2)\", \"bbox\": [187, 43, 212, 51]}, {\"cell\": \"0.04\", \"bbox\": [231, 42, 247, 52]}, {\"cell\": \"0.71\", \"bbox\": [263, 43, 278, 51]}, {\"cell\": \"28 (34.1)\", \"bbox\": [295, 43, 324, 51]}, {\"cell\": \"15 (24.6)\", \"bbox\": [341, 43, 370, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [387, 43, 416, 51]}, {\"cell\": \"0.22\", \"bbox\": [432, 43, 447, 51]}, {\"cell\": \"0.12\", \"bbox\": [463, 43, 478, 51]}, {\"cell\": \" 6A/6a\", \"bbox\": [15, 53, 35, 63]}, {\"cell\": \"137 (74.9)\", \"bbox\": [90, 54, 123, 63]}, {\"cell\": \"50 (87.7)\", \"bbox\": [139, 54, 169, 63]}, {\"cell\": \"28 (77.8)\", \"bbox\": [185, 54, 214, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"54 (65.9)\", \"bbox\": [295, 54, 324, 63]}, {\"cell\": \"46 (75.4)\", \"bbox\": [341, 54, 370, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [387, 54, 416, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"MMP-7\", \"bbox\": [1, 66, 25, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" A/A\", \"bbox\": [15, 78, 29, 87]}, {\"cell\": \"150 (82.9)\", \"bbox\": [90, 78, 123, 87]}, {\"cell\": \"45 (80.4)\", \"bbox\": [139, 78, 169, 87]}, {\"cell\": \"32 (91.4)\", \"bbox\": [185, 78, 214, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.31\", \"bbox\": [263, 78, 278, 87]}, {\"cell\": \"72 (88.9)\", \"bbox\": [295, 78, 324, 87]}, {\"cell\": \"52 (86.7)\", \"bbox\": [341, 78, 370, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [387, 78, 416, 87]}, {\"cell\": \"0.69\", \"bbox\": [432, 78, 447, 87]}, {\"cell\": \"0.06\", \"bbox\": [463, 78, 478, 87]}, {\"cell\": \" G carrier\", \"bbox\": [15, 90, 44, 99]}, {\"cell\": \"31 (17.1)\", \"bbox\": [92, 90, 121, 99]}, {\"cell\": \"11 (19.6)\", \"bbox\": [139, 90, 169, 99]}, {\"cell\": \"3 (8.6)\", \"bbox\": [189, 90, 210, 99]}, {\"cell\": \"0.67\", \"bbox\": [231, 90, 246, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"9 (11.1)\", \"bbox\": [297, 90, 322, 99]}, {\"cell\": \"8 (13.3)\", \"bbox\": [343, 90, 368, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [387, 90, 416, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"MMP-9\", \"bbox\": [1, 102, 25, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" A carrier\", \"bbox\": [15, 114, 44, 123]}, {\"cell\": \"78 (42.6)\", \"bbox\": [92, 114, 121, 123]}, {\"cell\": \"19 (33.3)\", \"bbox\": [139, 114, 169, 123]}, {\"cell\": \"15 (41.7)\", \"bbox\": [185, 114, 214, 123]}, {\"cell\": \"0.21\", \"bbox\": [231, 114, 246, 123]}, {\"cell\": \"0.92\", \"bbox\": [263, 114, 278, 123]}, {\"cell\": \"25 (30.5)\", \"bbox\": [295, 114, 324, 123]}, {\"cell\": \"22 (36.1)\", \"bbox\": [341, 114, 370, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [387, 114, 416, 123]}, {\"cell\": \"0.48\", \"bbox\": [432, 114, 447, 123]}, {\"cell\": \"0.14\", \"bbox\": [463, 114, 478, 123]}, {\"cell\": \" G/G\", \"bbox\": [15, 126, 30, 135]}, {\"cell\": \"105 (57.4)\", \"bbox\": [90, 126, 123, 135]}, {\"cell\": \"38 (66.7)\", \"bbox\": [139, 126, 169, 135]}, {\"cell\": \"21 (58.3)\", \"bbox\": [185, 126, 214, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"57 (69.5)\", \"bbox\": [295, 126, 324, 135]}, {\"cell\": \"39 (63.9)\", \"bbox\": [341, 126, 370, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [387, 126, 416, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TIMP-1\", \"bbox\": [1, 138, 24, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"♀ T carrier\", \"bbox\": [1, 150, 37, 159]}, {\"cell\": \"♂ T\", \"bbox\": [53, 150, 67, 159]}, {\"cell\": \"148 (80.9)\", \"bbox\": [90, 150, 123, 159]}, {\"cell\": \"41 (73.2)\", \"bbox\": [139, 150, 169, 159]}, {\"cell\": \"29 (80.6)\", \"bbox\": [185, 150, 214, 159]}, {\"cell\": \"0.22\", \"bbox\": [231, 150, 246, 159]}, {\"cell\": \"0.97\", \"bbox\": [263, 150, 278, 159]}, {\"cell\": \"46 (56.8)\", \"bbox\": [295, 150, 324, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [341, 150, 370, 159]}, {\"cell\": \"26 (51.0)\", \"bbox\": [387, 150, 416, 159]}, {\"cell\": \"0.48\", \"bbox\": [432, 150, 447, 159]}, {\"cell\": \"0.51\", \"bbox\": [463, 150, 478, 159]}, {\"cell\": \" C/C\", \"bbox\": [15, 162, 29, 171]}, {\"cell\": \"C\", \"bbox\": [63, 162, 70, 171]}, {\"cell\": \"35 (19.1)\", \"bbox\": [92, 162, 121, 171]}, {\"cell\": \"15 (26.8)\", \"bbox\": [139, 162, 169, 171]}, {\"cell\": \"7 (19.4)\", \"bbox\": [187, 162, 212, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"35 (43.2)\", \"bbox\": [295, 162, 324, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [341, 162, 370, 171]}, {\"cell\": \"25 (49.0)\", \"bbox\": [387, 162, 416, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TIMP-2\", \"bbox\": [1, 174, 24, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" C carrier\", \"bbox\": [15, 186, 44, 195]}, {\"cell\": \"54 (30.2)\", \"bbox\": [92, 186, 121, 195]}, {\"cell\": \"17 (32.1)\", \"bbox\": [139, 186, 169, 195]}, {\"cell\": \"10 (28.6)\", \"bbox\": [185, 186, 214, 195]}, {\"cell\": \"0.79\", \"bbox\": [231, 186, 246, 195]}, {\"cell\": \"0.85\", \"bbox\": [263, 186, 278, 195]}, {\"cell\": \"27 (33.3)\", \"bbox\": [295, 186, 324, 195]}, {\"cell\": \"20 (32.3)\", \"bbox\": [341, 186, 370, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [387, 186, 416, 195]}, {\"cell\": \"0.89\", \"bbox\": [432, 186, 447, 195]}, {\"cell\": \"0.34\", \"bbox\": [463, 186, 478, 195]}, {\"cell\": \" G/G\", \"bbox\": [15, 198, 30, 207]}, {\"cell\": \"125 (69.8)\", \"bbox\": [90, 198, 123, 207]}, {\"cell\": \"36 (67.9)\", \"bbox\": [139, 198, 169, 207]}, {\"cell\": \"25 (71.4)\", \"bbox\": [185, 198, 214, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"54 (66.7)\", \"bbox\": [295, 198, 324, 207]}, {\"cell\": \"42 (67.7)\", \"bbox\": [341, 198, 370, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [387, 198, 416, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2928200_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Inclusion criteriaExclusion criteria
Donors [EMPTY_CELL]
>60 years old or between 50 and 59 years who fulfilled at least 2 of the following criteria.(i) History of hypertension(ii) Stroke as cause of death(iii) Preablation sCr >1.5 mg/dL[EMPTY_CELL]
Recipients [EMPTY_CELL]
(i) First disease donor kidney transplant(ii) >18 years(iii) Signed informed consent(iv) Panel reactive antibody < 20%[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Inclusion criteria\", \"bbox\": [2, 4, 66, 15]}, {\"cell\": \"Exclusion criteria\", \"bbox\": [297, 4, 362, 15]}, {\"cell\": \"Donors \", \"bbox\": [2, 18, 30, 29]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [297, 18, 325, 29]}, {\"cell\": \">60 years old or between 50 and 59 years who fulfilled at least 2 of the following criteria.(i) History of hypertension(ii) Stroke as cause of death(iii) Preablation sCr >1.5 mg/dL\", \"bbox\": [2, 27, 254, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [297, 41, 424, 73]}, {\"cell\": \"Recipients \", \"bbox\": [2, 86, 40, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [297, 86, 335, 96]}, {\"cell\": \"(i) First disease donor kidney transplant(ii) >18 years(iii) Signed informed consent(iv) Panel reactive antibody < 20%\", \"bbox\": [2, 98, 148, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [297, 98, 480, 140]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4052172_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]MalesFemales
M sq.Fpη2M sq.Fpη2
[EMPTY_CELL]
[EMPTY_CELL]1516.0103.2<.001.0571262.652.4<.001.018
[EMPTY_CELL]343.823.4<.001.0131153.647.9<.001.017
[EMPTY_CELL]117.18.0.005.005207.08.6.003.003
[EMPTY_CELL]774.552.7<.001.0841382.957.4<.001.058
[EMPTY_CELL]
[EMPTY_CELL]1454.0124.1<.001.0681141.061.7<.001.021
[EMPTY_CELL]287.324.5<.001.014530.928.7<.001.010
[EMPTY_CELL]11.41.0.323.00116.90.9.339.000
[EMPTY_CELL]5019.4428.5<.001.20015859.9857.9<.001.234
[EMPTY_CELL]1820.3155.4<.001.2664998.7270.4<.001.278
[EMPTY_CELL]
[EMPTY_CELL]530.344.5<.001.02532.31.7.191.001
[EMPTY_CELL]58.04.9.027.00392.24.9.027.002
[EMPTY_CELL]20.91.8.186.00194,05.0.026.002
[EMPTY_CELL]4649.7390.5<.001.18614566.0770.0<.001.216
[EMPTY_CELL]1727.7145.1<.001.2544675.0247.1<.001.261
[EMPTY_CELL]
[EMPTY_CELL]796.972.0<.001.040295.616.9<.001.006
[EMPTY_CELL]121.511.0.001.006175.410.0.002.004
[EMPTY_CELL]6.10.6.457.00025.21.4.230.001
[EMPTY_CELL]1068.896.5<.001.0542547.6145.4<.001.049
[EMPTY_CELL]1430.9129.2<.001.0703916.3223.5<.001.074
[EMPTY_CELL]1668.4150.6<.001.3064523.3258.1<.001.316
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Males\", \"bbox\": [100, 4, 122, 13]}, {\"cell\": \"Females\", \"bbox\": [179, 4, 209, 13]}, {\"cell\": \"M sq.\", \"bbox\": [70, 17, 91, 26]}, {\"cell\": \"F\", \"bbox\": [94, 17, 100, 26]}, {\"cell\": \"p\", \"bbox\": [114, 17, 121, 26]}, {\"cell\": \"η2\", \"bbox\": [136, 15, 146, 26]}, {\"cell\": \"M sq.\", \"bbox\": [152, 17, 173, 26]}, {\"cell\": \"F\", \"bbox\": [180, 17, 186, 26]}, {\"cell\": \"p\", \"bbox\": [199, 17, 206, 26]}, {\"cell\": \"η2\", \"bbox\": [222, 15, 231, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 30, 27, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 43, 19, 53]}, {\"cell\": \"1516.0\", \"bbox\": [70, 43, 93, 53]}, {\"cell\": \"103.2\", \"bbox\": [94, 43, 113, 53]}, {\"cell\": \"<.001\", \"bbox\": [114, 43, 135, 53]}, {\"cell\": \".057\", \"bbox\": [136, 43, 151, 53]}, {\"cell\": \"1262.6\", \"bbox\": [152, 43, 175, 53]}, {\"cell\": \"52.4\", \"bbox\": [180, 43, 194, 53]}, {\"cell\": \"<.001\", \"bbox\": [199, 43, 220, 53]}, {\"cell\": \".018\", \"bbox\": [222, 43, 236, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 52, 60, 62]}, {\"cell\": \"343.8\", \"bbox\": [70, 52, 89, 62]}, {\"cell\": \"23.4\", \"bbox\": [94, 52, 109, 62]}, {\"cell\": \"<.001\", \"bbox\": [114, 52, 135, 62]}, {\"cell\": \".013\", \"bbox\": [136, 52, 151, 62]}, {\"cell\": \"1153.6\", \"bbox\": [152, 52, 175, 62]}, {\"cell\": \"47.9\", \"bbox\": [180, 52, 194, 62]}, {\"cell\": \"<.001\", \"bbox\": [199, 52, 220, 62]}, {\"cell\": \".017\", \"bbox\": [222, 52, 236, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 61, 69, 71]}, {\"cell\": \"117.1\", \"bbox\": [70, 61, 89, 71]}, {\"cell\": \"8.0\", \"bbox\": [94, 61, 105, 71]}, {\"cell\": \".005\", \"bbox\": [114, 61, 129, 71]}, {\"cell\": \".005\", \"bbox\": [136, 61, 151, 71]}, {\"cell\": \"207.0\", \"bbox\": [152, 61, 171, 71]}, {\"cell\": \"8.6\", \"bbox\": [180, 61, 191, 71]}, {\"cell\": \".003\", \"bbox\": [199, 61, 214, 71]}, {\"cell\": \".003\", \"bbox\": [222, 61, 236, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 70, 27, 80]}, {\"cell\": \"774.5\", \"bbox\": [70, 70, 89, 80]}, {\"cell\": \"52.7\", \"bbox\": [94, 70, 109, 80]}, {\"cell\": \"<.001\", \"bbox\": [114, 70, 135, 80]}, {\"cell\": \".084\", \"bbox\": [136, 70, 151, 80]}, {\"cell\": \"1382.9\", \"bbox\": [152, 70, 175, 80]}, {\"cell\": \"57.4\", \"bbox\": [180, 70, 194, 80]}, {\"cell\": \"<.001\", \"bbox\": [199, 70, 220, 80]}, {\"cell\": \".058\", \"bbox\": [222, 70, 236, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 84, 27, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 97, 19, 106]}, {\"cell\": \"1454.0\", \"bbox\": [70, 97, 93, 106]}, {\"cell\": \"124.1\", \"bbox\": [94, 97, 113, 106]}, {\"cell\": \"<.001\", \"bbox\": [114, 97, 135, 106]}, {\"cell\": \".068\", \"bbox\": [136, 97, 151, 106]}, {\"cell\": \"1141.0\", \"bbox\": [152, 97, 175, 106]}, {\"cell\": \"61.7\", \"bbox\": [180, 97, 194, 106]}, {\"cell\": \"<.001\", \"bbox\": [199, 97, 220, 106]}, {\"cell\": \".021\", \"bbox\": [222, 97, 236, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 106, 60, 115]}, {\"cell\": \"287.3\", \"bbox\": [70, 106, 89, 115]}, {\"cell\": \"24.5\", \"bbox\": [94, 106, 109, 115]}, {\"cell\": \"<.001\", \"bbox\": [114, 106, 135, 115]}, {\"cell\": \".014\", \"bbox\": [136, 106, 151, 115]}, {\"cell\": \"530.9\", \"bbox\": [152, 106, 171, 115]}, {\"cell\": \"28.7\", \"bbox\": [180, 106, 194, 115]}, {\"cell\": \"<.001\", \"bbox\": [199, 106, 220, 115]}, {\"cell\": \".010\", \"bbox\": [222, 106, 236, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 115, 69, 124]}, {\"cell\": \"11.4\", \"bbox\": [70, 115, 85, 124]}, {\"cell\": \"1.0\", \"bbox\": [94, 115, 105, 124]}, {\"cell\": \".323\", \"bbox\": [114, 115, 129, 124]}, {\"cell\": \".001\", \"bbox\": [136, 115, 151, 124]}, {\"cell\": \"16.9\", \"bbox\": [152, 115, 167, 124]}, {\"cell\": \"0.9\", \"bbox\": [180, 115, 191, 124]}, {\"cell\": \".339\", \"bbox\": [199, 115, 214, 124]}, {\"cell\": \".000\", \"bbox\": [222, 115, 236, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 124, 30, 133]}, {\"cell\": \"5019.4\", \"bbox\": [70, 124, 93, 133]}, {\"cell\": \"428.5\", \"bbox\": [94, 124, 113, 133]}, {\"cell\": \"<.001\", \"bbox\": [114, 124, 135, 133]}, {\"cell\": \".200\", \"bbox\": [136, 124, 151, 133]}, {\"cell\": \"15859.9\", \"bbox\": [152, 124, 178, 133]}, {\"cell\": \"857.9\", \"bbox\": [180, 124, 198, 133]}, {\"cell\": \"<.001\", \"bbox\": [199, 124, 220, 133]}, {\"cell\": \".234\", \"bbox\": [222, 124, 236, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 133, 27, 142]}, {\"cell\": \"1820.3\", \"bbox\": [70, 133, 93, 142]}, {\"cell\": \"155.4\", \"bbox\": [94, 133, 113, 142]}, {\"cell\": \"<.001\", \"bbox\": [114, 133, 135, 142]}, {\"cell\": \".266\", \"bbox\": [136, 133, 151, 142]}, {\"cell\": \"4998.7\", \"bbox\": [152, 133, 175, 142]}, {\"cell\": \"270.4\", \"bbox\": [180, 133, 198, 142]}, {\"cell\": \"<.001\", \"bbox\": [199, 133, 220, 142]}, {\"cell\": \".278\", \"bbox\": [222, 133, 236, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 146, 27, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 159, 19, 168]}, {\"cell\": \"530.3\", \"bbox\": [70, 159, 89, 168]}, {\"cell\": \"44.5\", \"bbox\": [94, 159, 109, 168]}, {\"cell\": \"<.001\", \"bbox\": [114, 159, 135, 168]}, {\"cell\": \".025\", \"bbox\": [136, 159, 151, 168]}, {\"cell\": \"32.3\", \"bbox\": [152, 159, 167, 168]}, {\"cell\": \"1.7\", \"bbox\": [180, 159, 191, 168]}, {\"cell\": \".191\", \"bbox\": [199, 159, 214, 168]}, {\"cell\": \".001\", \"bbox\": [222, 159, 236, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 168, 60, 177]}, {\"cell\": \"58.0\", \"bbox\": [70, 168, 85, 177]}, {\"cell\": \"4.9\", \"bbox\": [94, 168, 105, 177]}, {\"cell\": \".027\", \"bbox\": [114, 168, 129, 177]}, {\"cell\": \".003\", \"bbox\": [136, 168, 151, 177]}, {\"cell\": \"92.2\", \"bbox\": [152, 168, 167, 177]}, {\"cell\": \"4.9\", \"bbox\": [180, 168, 191, 177]}, {\"cell\": \".027\", \"bbox\": [199, 168, 214, 177]}, {\"cell\": \".002\", \"bbox\": [222, 168, 236, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 177, 69, 186]}, {\"cell\": \"20.9\", \"bbox\": [70, 177, 85, 186]}, {\"cell\": \"1.8\", \"bbox\": [94, 177, 105, 186]}, {\"cell\": \".186\", \"bbox\": [114, 177, 129, 186]}, {\"cell\": \".001\", \"bbox\": [136, 177, 151, 186]}, {\"cell\": \"94,0\", \"bbox\": [152, 177, 167, 186]}, {\"cell\": \"5.0\", \"bbox\": [180, 177, 191, 186]}, {\"cell\": \".026\", \"bbox\": [199, 177, 214, 186]}, {\"cell\": \".002\", \"bbox\": [222, 177, 236, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 186, 42, 195]}, {\"cell\": \"4649.7\", \"bbox\": [70, 186, 93, 195]}, {\"cell\": \"390.5\", \"bbox\": [94, 186, 113, 195]}, {\"cell\": \"<.001\", \"bbox\": [114, 186, 135, 195]}, {\"cell\": \".186\", \"bbox\": [136, 186, 151, 195]}, {\"cell\": \"14566.0\", \"bbox\": [152, 186, 178, 195]}, {\"cell\": \"770.0\", \"bbox\": [180, 186, 198, 195]}, {\"cell\": \"<.001\", \"bbox\": [199, 186, 220, 195]}, {\"cell\": \".216\", \"bbox\": [222, 186, 236, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 195, 27, 204]}, {\"cell\": \"1727.7\", \"bbox\": [70, 195, 93, 204]}, {\"cell\": \"145.1\", \"bbox\": [94, 195, 113, 204]}, {\"cell\": \"<.001\", \"bbox\": [114, 195, 135, 204]}, {\"cell\": \".254\", \"bbox\": [136, 195, 151, 204]}, {\"cell\": \"4675.0\", \"bbox\": [152, 195, 175, 204]}, {\"cell\": \"247.1\", \"bbox\": [180, 195, 198, 204]}, {\"cell\": \"<.001\", \"bbox\": [199, 195, 220, 204]}, {\"cell\": \".261\", \"bbox\": [222, 195, 236, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 208, 27, 216]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 221, 19, 231]}, {\"cell\": \"796.9\", \"bbox\": [70, 221, 89, 231]}, {\"cell\": \"72.0\", \"bbox\": [94, 221, 109, 231]}, {\"cell\": \"<.001\", \"bbox\": [114, 221, 135, 231]}, {\"cell\": \".040\", \"bbox\": [136, 221, 151, 231]}, {\"cell\": \"295.6\", \"bbox\": [152, 221, 171, 231]}, {\"cell\": \"16.9\", \"bbox\": [180, 221, 194, 231]}, {\"cell\": \"<.001\", \"bbox\": [199, 221, 220, 231]}, {\"cell\": \".006\", \"bbox\": [222, 221, 236, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 230, 60, 240]}, {\"cell\": \"121.5\", \"bbox\": [70, 230, 89, 240]}, {\"cell\": \"11.0\", \"bbox\": [94, 230, 109, 240]}, {\"cell\": \".001\", \"bbox\": [114, 230, 129, 240]}, {\"cell\": \".006\", \"bbox\": [136, 230, 151, 240]}, {\"cell\": \"175.4\", \"bbox\": [152, 230, 171, 240]}, {\"cell\": \"10.0\", \"bbox\": [180, 230, 194, 240]}, {\"cell\": \".002\", \"bbox\": [199, 230, 214, 240]}, {\"cell\": \".004\", \"bbox\": [222, 230, 236, 240]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 239, 69, 249]}, {\"cell\": \"6.1\", \"bbox\": [70, 239, 81, 249]}, {\"cell\": \"0.6\", \"bbox\": [94, 239, 105, 249]}, {\"cell\": \".457\", \"bbox\": [114, 239, 129, 249]}, {\"cell\": \".000\", \"bbox\": [136, 239, 151, 249]}, {\"cell\": \"25.2\", \"bbox\": [152, 239, 167, 249]}, {\"cell\": \"1.4\", \"bbox\": [180, 239, 191, 249]}, {\"cell\": \".230\", \"bbox\": [199, 239, 214, 249]}, {\"cell\": \".001\", \"bbox\": [222, 239, 236, 249]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 248, 42, 258]}, {\"cell\": \"1068.8\", \"bbox\": [70, 248, 93, 258]}, {\"cell\": \"96.5\", \"bbox\": [94, 248, 109, 258]}, {\"cell\": \"<.001\", \"bbox\": [114, 248, 135, 258]}, {\"cell\": \".054\", \"bbox\": [136, 248, 151, 258]}, {\"cell\": \"2547.6\", \"bbox\": [152, 248, 175, 258]}, {\"cell\": \"145.4\", \"bbox\": [180, 248, 198, 258]}, {\"cell\": \"<.001\", \"bbox\": [199, 248, 220, 258]}, {\"cell\": \".049\", \"bbox\": [222, 248, 236, 258]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 257, 30, 267]}, {\"cell\": \"1430.9\", \"bbox\": [70, 257, 93, 267]}, {\"cell\": \"129.2\", \"bbox\": [94, 257, 113, 267]}, {\"cell\": \"<.001\", \"bbox\": [114, 257, 135, 267]}, {\"cell\": \".070\", \"bbox\": [136, 257, 151, 267]}, {\"cell\": \"3916.3\", \"bbox\": [152, 257, 175, 267]}, {\"cell\": \"223.5\", \"bbox\": [180, 257, 198, 267]}, {\"cell\": \"<.001\", \"bbox\": [199, 257, 220, 267]}, {\"cell\": \".074\", \"bbox\": [222, 257, 236, 267]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 266, 27, 276]}, {\"cell\": \"1668.4\", \"bbox\": [70, 266, 93, 276]}, {\"cell\": \"150.6\", \"bbox\": [94, 266, 113, 276]}, {\"cell\": \"<.001\", \"bbox\": [114, 266, 135, 276]}, {\"cell\": \".306\", \"bbox\": [136, 266, 151, 276]}, {\"cell\": \"4523.3\", \"bbox\": [152, 266, 175, 276]}, {\"cell\": \"258.1\", \"bbox\": [180, 266, 198, 276]}, {\"cell\": \"<.001\", \"bbox\": [199, 266, 220, 276]}, {\"cell\": \".316\", \"bbox\": [222, 266, 236, 276]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3426491_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Demographics and habitsSpecificsHutHouse
Participant genderMale[EMPTY_CELL]10 % (2/20)
Female75 % (15/20)[EMPTY_CELL]
Age range<20[EMPTY_CELL]N/A
21–4035 % (7/20)[EMPTY_CELL]
41–6040 % (8/20)[EMPTY_CELL]
61–8015 % (3/20)[EMPTY_CELL]
Number of people that slept in study area1[EMPTY_CELL]20 % (4/20)
240 % (8/20)[EMPTY_CELL]
335 % (7/20)[EMPTY_CELL]
More than 315 % (3/20)[EMPTY_CELL]
Children in study area<13 years of age[EMPTY_CELL]50 % (10/20)
Purpose of study areaOnly slept in[EMPTY_CELL]95 % (19/20)
To cook and sleep in15 % (2/20)[EMPTY_CELL]
Bed time19:00–20:00[EMPTY_CELL]10 % (2/20)
20:00–21:0045 % (9/20)[EMPTY_CELL]
After 21:0030 % (6/20)[EMPTY_CELL]
Wake up timeBefore 05:00[EMPTY_CELL]25 % (5/20)
05:00 and 06:0040 % (8/20)[EMPTY_CELL]
06:00 and 07:0015 % (3/20)[EMPTY_CELL]
After 07:0015 % (3/20)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Demographics and habits\", \"bbox\": [1, 4, 91, 14]}, {\"cell\": \"Specifics\", \"bbox\": [201, 4, 233, 14]}, {\"cell\": \"Hut\", \"bbox\": [334, 4, 349, 14]}, {\"cell\": \"House\", \"bbox\": [442, 4, 466, 14]}, {\"cell\": \"Participant gender\", \"bbox\": [1, 22, 62, 32]}, {\"cell\": \"Male\", \"bbox\": [201, 22, 219, 32]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [334, 22, 372, 32]}, {\"cell\": \"10 % (2/20)\", \"bbox\": [442, 22, 480, 32]}, {\"cell\": \"Female\", \"bbox\": [201, 34, 226, 44]}, {\"cell\": \"75 % (15/20)\", \"bbox\": [334, 34, 376, 44]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [442, 34, 484, 44]}, {\"cell\": \"Age range\", \"bbox\": [1, 46, 36, 56]}, {\"cell\": \"<20\", \"bbox\": [201, 46, 216, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [334, 46, 372, 56]}, {\"cell\": \"N/A\", \"bbox\": [442, 46, 457, 56]}, {\"cell\": \"21–40\", \"bbox\": [201, 59, 223, 68]}, {\"cell\": \"35 % (7/20)\", \"bbox\": [334, 59, 372, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [442, 59, 484, 68]}, {\"cell\": \"41–60\", \"bbox\": [201, 71, 223, 80]}, {\"cell\": \"40 % (8/20)\", \"bbox\": [334, 71, 372, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [442, 71, 480, 80]}, {\"cell\": \"61–80\", \"bbox\": [201, 83, 223, 92]}, {\"cell\": \"15 % (3/20)\", \"bbox\": [334, 83, 372, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [442, 83, 480, 92]}, {\"cell\": \"Number of people that slept in study area\", \"bbox\": [1, 95, 136, 104]}, {\"cell\": \"1\", \"bbox\": [201, 95, 207, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [334, 95, 372, 104]}, {\"cell\": \"20 % (4/20)\", \"bbox\": [442, 95, 480, 104]}, {\"cell\": \"2\", \"bbox\": [201, 107, 207, 116]}, {\"cell\": \"40 % (8/20)\", \"bbox\": [334, 107, 372, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [442, 107, 480, 116]}, {\"cell\": \"3\", \"bbox\": [201, 119, 207, 129]}, {\"cell\": \"35 % (7/20)\", \"bbox\": [334, 119, 372, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [442, 119, 480, 129]}, {\"cell\": \"More than 3\", \"bbox\": [201, 131, 242, 141]}, {\"cell\": \"15 % (3/20)\", \"bbox\": [334, 131, 372, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [442, 131, 480, 141]}, {\"cell\": \"Children in study area\", \"bbox\": [1, 143, 72, 153]}, {\"cell\": \"<13 years of age\", \"bbox\": [201, 143, 256, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [334, 143, 376, 153]}, {\"cell\": \"50 % (10/20)\", \"bbox\": [442, 143, 484, 153]}, {\"cell\": \"Purpose of study area\", \"bbox\": [1, 155, 71, 165]}, {\"cell\": \"Only slept in\", \"bbox\": [201, 155, 243, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [334, 155, 376, 165]}, {\"cell\": \"95 % (19/20)\", \"bbox\": [442, 155, 484, 165]}, {\"cell\": \"To cook and sleep in\", \"bbox\": [201, 167, 268, 177]}, {\"cell\": \"15 % (2/20)\", \"bbox\": [334, 167, 372, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [442, 167, 476, 177]}, {\"cell\": \"Bed time\", \"bbox\": [1, 180, 31, 189]}, {\"cell\": \"19:00–20:00\", \"bbox\": [201, 180, 241, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [334, 180, 372, 189]}, {\"cell\": \"10 % (2/20)\", \"bbox\": [442, 180, 480, 189]}, {\"cell\": \"20:00–21:00\", \"bbox\": [201, 192, 241, 201]}, {\"cell\": \"45 % (9/20)\", \"bbox\": [334, 192, 372, 201]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [442, 192, 480, 201]}, {\"cell\": \"After 21:00\", \"bbox\": [201, 204, 238, 213]}, {\"cell\": \"30 % (6/20)\", \"bbox\": [334, 204, 372, 213]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [442, 204, 484, 213]}, {\"cell\": \"Wake up time\", \"bbox\": [1, 216, 47, 225]}, {\"cell\": \"Before 05:00\", \"bbox\": [201, 216, 243, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [334, 216, 372, 225]}, {\"cell\": \"25 % (5/20)\", \"bbox\": [442, 216, 480, 225]}, {\"cell\": \"05:00 and 06:00\", \"bbox\": [201, 228, 253, 237]}, {\"cell\": \"40 % (8/20)\", \"bbox\": [334, 228, 372, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [442, 228, 480, 237]}, {\"cell\": \"06:00 and 07:00\", \"bbox\": [201, 240, 253, 250]}, {\"cell\": \"15 % (3/20)\", \"bbox\": [334, 240, 372, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [442, 240, 484, 250]}, {\"cell\": \"After 07:00\", \"bbox\": [201, 252, 238, 262]}, {\"cell\": \"15 % (3/20)\", \"bbox\": [334, 252, 372, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [442, 252, 480, 262]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4667516_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Process of care manoeuvrePercentage of patients receiving care [95% CI]
All (n = 4931)[EMPTY_CELL]
2 Blood pressure measures[EMPTY_CELL]
Lipid profile[EMPTY_CELL]
Waist circumference measure[EMPTY_CELL]
Dietician/weight loss program referral[EMPTY_CELL]
Smoking status recorded[EMPTY_CELL]
Coronary Artery Disease (n = 1510)[EMPTY_CELL]
Fasting blood glucose[EMPTY_CELL]
Medication (ACE, Angiotensin receptor blocker, beta blocker)[EMPTY_CELL]
ASA[EMPTY_CELL]
Peripheral Vascular Disease (n = 318)[EMPTY_CELL]
Fasting blood glucose[EMPTY_CELL]
ACE inhibitor and/or Angiotensin receptor blocker[EMPTY_CELL]
Lipid lowering medication[EMPTY_CELL]
ASA[EMPTY_CELL]
Stroke (n = 636)[EMPTY_CELL]
Fasting blood glucose[EMPTY_CELL]
ASA[EMPTY_CELL]
If stroke within past year (n = 71)[EMPTY_CELL]
Echo cardiogram[EMPTY_CELL]
Carotid doppler[EMPTY_CELL]
CT head scan[EMPTY_CELL]
EKG[EMPTY_CELL]
Diabetes (n = 2308)[EMPTY_CELL]
Two hemoglobin A1c tests[EMPTY_CELL]
Glycemic control medication[EMPTY_CELL]
ACR[EMPTY_CELL]
eGFR[EMPTY_CELL]
Chronic Kidney Disease (n = 916)[EMPTY_CELL]
ACR[EMPTY_CELL]
Dyslipidemia (n = 4111)[EMPTY_CELL]
Lipid profile[EMPTY_CELL]
Lipid lowering medication[EMPTY_CELL]
Hypertension (n = 3793)[EMPTY_CELL]
Two blood pressure readings[EMPTY_CELL]
Anti-Hypertensive medication[EMPTY_CELL]
Smoking (n = 1049)[EMPTY_CELL]
Smoking cessation counselling[EMPTY_CELL]
Smoking cessation program[EMPTY_CELL]
Smoking cessation drug[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Process of care manoeuvre\", \"bbox\": [17, 4, 113, 13]}, {\"cell\": \"Percentage of patients receiving care [95% CI]\", \"bbox\": [155, 4, 236, 22]}, {\"cell\": \"All (n = 4931)\", \"bbox\": [1, 26, 47, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 2 Blood pressure measures\", \"bbox\": [4, 39, 93, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 39, 216, 49]}, {\"cell\": \" Lipid profile\", \"bbox\": [4, 52, 45, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 52, 216, 62]}, {\"cell\": \" Waist circumference measure\", \"bbox\": [4, 65, 101, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 65, 212, 75]}, {\"cell\": \" Dietician/weight loss program referral\", \"bbox\": [4, 79, 128, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 79, 216, 88]}, {\"cell\": \" Smoking status recorded\", \"bbox\": [4, 92, 86, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 92, 216, 101]}, {\"cell\": \"Coronary Artery Disease (n = 1510)\", \"bbox\": [1, 105, 122, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Fasting blood glucose\", \"bbox\": [4, 118, 77, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 118, 216, 128]}, {\"cell\": \" Medication (ACE, Angiotensin receptor blocker, beta blocker)\", \"bbox\": [4, 131, 104, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 131, 216, 141]}, {\"cell\": \" ASA\", \"bbox\": [4, 153, 19, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 153, 216, 163]}, {\"cell\": \"Peripheral Vascular Disease (n = 318)\", \"bbox\": [1, 167, 130, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Fasting blood glucose\", \"bbox\": [4, 180, 77, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 180, 216, 189]}, {\"cell\": \" ACE inhibitor and/or Angiotensin receptor blocker\", \"bbox\": [4, 193, 113, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 193, 216, 202]}, {\"cell\": \" Lipid lowering medication\", \"bbox\": [4, 215, 91, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 215, 216, 225]}, {\"cell\": \" ASA\", \"bbox\": [4, 228, 19, 238]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 228, 216, 238]}, {\"cell\": \"Stroke (n = 636)\", \"bbox\": [1, 241, 56, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Fasting blood glucose\", \"bbox\": [4, 254, 77, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 254, 216, 264]}, {\"cell\": \" ASA\", \"bbox\": [4, 268, 19, 277]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 268, 216, 277]}, {\"cell\": \"If stroke within past year (n = 71)\", \"bbox\": [1, 281, 106, 290]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Echo cardiogram\", \"bbox\": [4, 294, 61, 303]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 294, 216, 303]}, {\"cell\": \" Carotid doppler\", \"bbox\": [4, 307, 57, 317]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 307, 216, 317]}, {\"cell\": \" CT head scan\", \"bbox\": [4, 320, 50, 330]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 320, 216, 330]}, {\"cell\": \" EKG\", \"bbox\": [4, 333, 19, 343]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 333, 216, 343]}, {\"cell\": \"Diabetes (n = 2308)\", \"bbox\": [1, 346, 68, 356]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Two hemoglobin A1c tests\", \"bbox\": [4, 360, 93, 369]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 360, 216, 369]}, {\"cell\": \" Glycemic control medication\", \"bbox\": [4, 373, 99, 382]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 373, 216, 382]}, {\"cell\": \" ACR\", \"bbox\": [4, 386, 20, 395]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 386, 216, 395]}, {\"cell\": \" eGFR\", \"bbox\": [4, 399, 23, 409]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 399, 216, 409]}, {\"cell\": \"Chronic Kidney Disease (n = 916)\", \"bbox\": [0, 412, 115, 422]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" ACR\", \"bbox\": [4, 425, 20, 435]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 425, 216, 435]}, {\"cell\": \"Dyslipidemia (n = 4111)\", \"bbox\": [0, 439, 83, 448]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Lipid profile\", \"bbox\": [4, 452, 45, 461]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 452, 216, 461]}, {\"cell\": \" Lipid lowering medication\", \"bbox\": [4, 465, 91, 474]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 465, 216, 474]}, {\"cell\": \"Hypertension (n = 3793)\", \"bbox\": [0, 478, 85, 488]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Two blood pressure readings\", \"bbox\": [4, 491, 100, 501]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 491, 216, 501]}, {\"cell\": \" Anti-Hypertensive medication\", \"bbox\": [4, 504, 101, 514]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 504, 216, 514]}, {\"cell\": \"Smoking (n = 1049)\", \"bbox\": [0, 517, 68, 527]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Smoking cessation counselling\", \"bbox\": [4, 531, 105, 540]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 531, 216, 540]}, {\"cell\": \" Smoking cessation program\", \"bbox\": [4, 544, 96, 553]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 544, 212, 553]}, {\"cell\": \" Smoking cessation drug\", \"bbox\": [4, 557, 84, 566]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 557, 216, 566]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3477034_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
PtAge (Y),genderLocationProcedureMaterial appliedFollow-upmonthsPostoperativeimagingRestenosisImmuno-suppressionAuthor (’Y)
160 FBifurcation[EMPTY_CELL]Pericardium6AGYesYes*Chauvaud (’87)
253 MBifurcation[EMPTY_CELL]Pericardium6AGYes-Dietl (’88)
357 MRt[EMPTY_CELL]-----Okubo (’88)
431 MBifurcation[EMPTY_CELL]Dacron18AGYes-Jakob (’90)
534 FRt[EMPTY_CELL]NA13---Lie (’96)
625 FRt[EMPTY_CELL]NA25---Lie (’96)
776 FRt & Lt[EMPTY_CELL]PTFE----Sundt (’01)
863 FRt & Lt[EMPTY_CELL]Dacron66---Shikata (’04)
967 FRt[EMPTY_CELL]Pericardium3AGYes-Yamazaki (’05)
1045 FLt[EMPTY_CELL]PTFE60AGNo-Nakajima (’07)
1148 MRt[EMPTY_CELL]Dacron6CTNoNoFujita (’13)
1259 MRt & Lt[EMPTY_CELL]PTFE1.5AG & CTNoYes†Hamamoto (’11)
1351 FRt & Lt[EMPTY_CELL]PTFE30AG & CTNo-Furtado (’12)
\", \"cells\": [{\"cell\": \"Pt\", \"bbox\": [1, 4, 9, 13]}, {\"cell\": \"Age (Y),gender\", \"bbox\": [20, 4, 47, 22]}, {\"cell\": \"Location\", \"bbox\": [56, 4, 86, 13]}, {\"cell\": \"Procedure\", \"bbox\": [102, 4, 136, 13]}, {\"cell\": \"Material applied\", \"bbox\": [146, 4, 199, 13]}, {\"cell\": \"Follow-upmonths\", \"bbox\": [209, 4, 243, 22]}, {\"cell\": \"Postoperativeimaging\", \"bbox\": [252, 4, 298, 22]}, {\"cell\": \"Restenosis\", \"bbox\": [307, 4, 342, 13]}, {\"cell\": \"Immuno-suppression\", \"bbox\": [352, 4, 421, 13]}, {\"cell\": \"Author (’Y)\", \"bbox\": [431, 4, 467, 13]}, {\"cell\": \"1\", \"bbox\": [0, 26, 6, 36]}, {\"cell\": \"60 F\", \"bbox\": [20, 26, 36, 36]}, {\"cell\": \"Bifurcation\", \"bbox\": [56, 26, 92, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 26, 121, 36]}, {\"cell\": \"Pericardium\", \"bbox\": [146, 26, 186, 36]}, {\"cell\": \"6\", \"bbox\": [209, 26, 215, 36]}, {\"cell\": \"AG\", \"bbox\": [252, 26, 264, 36]}, {\"cell\": \"Yes\", \"bbox\": [307, 26, 320, 36]}, {\"cell\": \"Yes*\", \"bbox\": [352, 26, 368, 36]}, {\"cell\": \"Chauvaud (’87)\", \"bbox\": [431, 26, 481, 36]}, {\"cell\": \"2\", \"bbox\": [0, 40, 6, 50]}, {\"cell\": \"53 M\", \"bbox\": [20, 40, 38, 50]}, {\"cell\": \"Bifurcation\", \"bbox\": [56, 40, 92, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 40, 121, 50]}, {\"cell\": \"Pericardium\", \"bbox\": [146, 40, 186, 50]}, {\"cell\": \"6\", \"bbox\": [209, 40, 215, 50]}, {\"cell\": \"AG\", \"bbox\": [252, 40, 264, 50]}, {\"cell\": \"Yes\", \"bbox\": [307, 40, 320, 50]}, {\"cell\": \"-\", \"bbox\": [352, 40, 356, 50]}, {\"cell\": \"Dietl (’88)\", \"bbox\": [431, 40, 463, 50]}, {\"cell\": \"3\", \"bbox\": [0, 54, 6, 64]}, {\"cell\": \"57 M\", \"bbox\": [20, 54, 38, 64]}, {\"cell\": \"Rt\", \"bbox\": [56, 54, 65, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 54, 121, 64]}, {\"cell\": \"-\", \"bbox\": [146, 54, 150, 64]}, {\"cell\": \"-\", \"bbox\": [209, 54, 213, 64]}, {\"cell\": \"-\", \"bbox\": [252, 54, 257, 64]}, {\"cell\": \"-\", \"bbox\": [307, 54, 312, 64]}, {\"cell\": \"-\", \"bbox\": [352, 54, 356, 64]}, {\"cell\": \"Okubo (’88)\", \"bbox\": [431, 54, 470, 64]}, {\"cell\": \"4\", \"bbox\": [0, 68, 6, 78]}, {\"cell\": \"31 M\", \"bbox\": [20, 68, 38, 78]}, {\"cell\": \"Bifurcation\", \"bbox\": [56, 68, 92, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 68, 121, 78]}, {\"cell\": \"Dacron\", \"bbox\": [146, 68, 171, 78]}, {\"cell\": \"18\", \"bbox\": [209, 68, 218, 78]}, {\"cell\": \"AG\", \"bbox\": [252, 68, 264, 78]}, {\"cell\": \"Yes\", \"bbox\": [307, 68, 320, 78]}, {\"cell\": \"-\", \"bbox\": [352, 68, 356, 78]}, {\"cell\": \"Jakob (’90)\", \"bbox\": [431, 68, 467, 78]}, {\"cell\": \"5\", \"bbox\": [0, 82, 6, 92]}, {\"cell\": \"34 F\", \"bbox\": [20, 82, 36, 92]}, {\"cell\": \"Rt\", \"bbox\": [56, 82, 65, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 82, 129, 92]}, {\"cell\": \"NA\", \"bbox\": [146, 82, 157, 92]}, {\"cell\": \"13\", \"bbox\": [209, 82, 218, 92]}, {\"cell\": \"-\", \"bbox\": [252, 82, 257, 92]}, {\"cell\": \"-\", \"bbox\": [307, 82, 312, 92]}, {\"cell\": \"-\", \"bbox\": [352, 82, 356, 92]}, {\"cell\": \"Lie (’96)\", \"bbox\": [431, 82, 458, 92]}, {\"cell\": \"6\", \"bbox\": [0, 96, 6, 106]}, {\"cell\": \"25 F\", \"bbox\": [20, 96, 36, 106]}, {\"cell\": \"Rt\", \"bbox\": [56, 96, 65, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 96, 129, 106]}, {\"cell\": \"NA\", \"bbox\": [146, 96, 157, 106]}, {\"cell\": \"25\", \"bbox\": [209, 96, 218, 106]}, {\"cell\": \"-\", \"bbox\": [252, 96, 257, 106]}, {\"cell\": \"-\", \"bbox\": [307, 96, 312, 106]}, {\"cell\": \"-\", \"bbox\": [352, 96, 356, 106]}, {\"cell\": \"Lie (’96)\", \"bbox\": [431, 96, 458, 106]}, {\"cell\": \"7\", \"bbox\": [0, 110, 6, 120]}, {\"cell\": \"76 F\", \"bbox\": [20, 110, 36, 120]}, {\"cell\": \"Rt & Lt\", \"bbox\": [56, 110, 80, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 110, 125, 120]}, {\"cell\": \"PTFE\", \"bbox\": [146, 110, 163, 120]}, {\"cell\": \"-\", \"bbox\": [209, 110, 213, 120]}, {\"cell\": \"-\", \"bbox\": [252, 110, 257, 120]}, {\"cell\": \"-\", \"bbox\": [307, 110, 312, 120]}, {\"cell\": \"-\", \"bbox\": [352, 110, 356, 120]}, {\"cell\": \"Sundt (’01)\", \"bbox\": [431, 110, 467, 120]}, {\"cell\": \"8\", \"bbox\": [0, 124, 6, 134]}, {\"cell\": \"63 F\", \"bbox\": [20, 124, 36, 134]}, {\"cell\": \"Rt & Lt\", \"bbox\": [56, 124, 80, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 124, 129, 134]}, {\"cell\": \"Dacron\", \"bbox\": [146, 124, 171, 134]}, {\"cell\": \"66\", \"bbox\": [209, 124, 218, 134]}, {\"cell\": \"-\", \"bbox\": [252, 124, 257, 134]}, {\"cell\": \"-\", \"bbox\": [307, 124, 312, 134]}, {\"cell\": \"-\", \"bbox\": [352, 124, 356, 134]}, {\"cell\": \"Shikata (’04)\", \"bbox\": [431, 124, 471, 134]}, {\"cell\": \"9\", \"bbox\": [0, 138, 6, 148]}, {\"cell\": \"67 F\", \"bbox\": [20, 138, 36, 148]}, {\"cell\": \"Rt\", \"bbox\": [56, 138, 65, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 138, 121, 148]}, {\"cell\": \"Pericardium\", \"bbox\": [146, 138, 186, 148]}, {\"cell\": \"3\", \"bbox\": [209, 138, 215, 148]}, {\"cell\": \"AG\", \"bbox\": [252, 138, 264, 148]}, {\"cell\": \"Yes\", \"bbox\": [307, 138, 320, 148]}, {\"cell\": \"-\", \"bbox\": [352, 138, 356, 148]}, {\"cell\": \"Yamazaki (’05)\", \"bbox\": [431, 138, 478, 148]}, {\"cell\": \"10\", \"bbox\": [1, 152, 10, 162]}, {\"cell\": \"45 F\", \"bbox\": [20, 152, 36, 162]}, {\"cell\": \"Lt\", \"bbox\": [56, 152, 64, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 152, 125, 162]}, {\"cell\": \"PTFE\", \"bbox\": [146, 152, 163, 162]}, {\"cell\": \"60\", \"bbox\": [209, 152, 218, 162]}, {\"cell\": \"AG\", \"bbox\": [252, 152, 264, 162]}, {\"cell\": \"No\", \"bbox\": [307, 152, 319, 162]}, {\"cell\": \"-\", \"bbox\": [352, 152, 356, 162]}, {\"cell\": \"Nakajima (’07)\", \"bbox\": [431, 152, 477, 162]}, {\"cell\": \"11\", \"bbox\": [1, 166, 10, 176]}, {\"cell\": \"48 M\", \"bbox\": [20, 166, 38, 176]}, {\"cell\": \"Rt\", \"bbox\": [56, 166, 65, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 166, 129, 176]}, {\"cell\": \"Dacron\", \"bbox\": [146, 166, 171, 176]}, {\"cell\": \"6\", \"bbox\": [209, 166, 215, 176]}, {\"cell\": \"CT\", \"bbox\": [252, 166, 262, 176]}, {\"cell\": \"No\", \"bbox\": [307, 166, 319, 176]}, {\"cell\": \"No\", \"bbox\": [352, 166, 363, 176]}, {\"cell\": \"Fujita (’13)\", \"bbox\": [431, 166, 466, 176]}, {\"cell\": \"12\", \"bbox\": [1, 180, 10, 190]}, {\"cell\": \"59 M\", \"bbox\": [20, 180, 38, 190]}, {\"cell\": \"Rt & Lt\", \"bbox\": [56, 180, 80, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 180, 129, 190]}, {\"cell\": \"PTFE\", \"bbox\": [146, 180, 163, 190]}, {\"cell\": \"1.5\", \"bbox\": [209, 180, 220, 190]}, {\"cell\": \"AG & CT\", \"bbox\": [252, 180, 281, 190]}, {\"cell\": \"No\", \"bbox\": [307, 180, 319, 190]}, {\"cell\": \"Yes†\", \"bbox\": [352, 179, 367, 190]}, {\"cell\": \"Hamamoto (’11)\", \"bbox\": [431, 180, 484, 190]}, {\"cell\": \"13\", \"bbox\": [1, 194, 10, 204]}, {\"cell\": \"51 F\", \"bbox\": [20, 194, 36, 204]}, {\"cell\": \"Rt & Lt\", \"bbox\": [56, 194, 80, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 194, 129, 204]}, {\"cell\": \"PTFE\", \"bbox\": [146, 194, 163, 204]}, {\"cell\": \"30\", \"bbox\": [209, 194, 218, 204]}, {\"cell\": \"AG & CT\", \"bbox\": [252, 194, 281, 204]}, {\"cell\": \"No\", \"bbox\": [307, 194, 319, 204]}, {\"cell\": \"-\", \"bbox\": [352, 194, 356, 204]}, {\"cell\": \"Furtado (’12)\", \"bbox\": [431, 194, 473, 204]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4715312_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Mean (SD)
Treatment groupBaselineUntil HDSaDay 1Day 2Day 3[EMPTY_CELL]Day 8bLastc
Alpha-1-microglobulin/urinary creatinine, g/mmol
HES 130/0.417.8 (21.0)18.1 (14.8)18.3 (16.0)19.4 (20.3)19.6 (20.5)[EMPTY_CELL]13.4 (14.9)19.9 (22.7)
NaCI 0.9%12.3 (12.9)17.2 (18.0)17.8 (17.1)16.9 (15.0)16.7 (14.9)[EMPTY_CELL]19.5 (23.9)19.8 (23.3)
Beta-NAG/urinary creatinine, UI/mmol
HES 130/0.44.9 (6.6)4.1 (3.5)5.0 (3.8)7.9 (12.8)8.1 (13.6)[EMPTY_CELL]4.5 (3.0)6.7 (10.0)
NaCI 0.9%4.1 (4.7)4.2 (3.5)6.0 (9.1)4.7 (4.2)4.5 (4.4)[EMPTY_CELL]5.8 (5.0)5.7 (5.5)
NGAL/urinary creatinine, μg/mmol
HES 130/0.4283.0 (785.1)352.8 (710.7)229.9 (465.5)325.9 (1,079.0)432.9 (1458.2)[EMPTY_CELL]24.4 (71.5)279.0 (884.8)
NaCI 0.9%305.5 (833.9)244.9 (452.4)318.7 (644.8)149.8 (303.2)121.1 (306.1)[EMPTY_CELL]177.8 (551.5)212.8 (604.8)
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Mean (SD)\", \"bbox\": [259, 4, 297, 13]}, {\"cell\": \"Treatment group\", \"bbox\": [1, 17, 62, 27]}, {\"cell\": \"Baseline\", \"bbox\": [71, 17, 101, 27]}, {\"cell\": \"Until HDSa\", \"bbox\": [122, 17, 162, 27]}, {\"cell\": \"Day 1\", \"bbox\": [173, 17, 195, 27]}, {\"cell\": \"Day 2\", \"bbox\": [224, 17, 246, 27]}, {\"cell\": \"Day 3\", \"bbox\": [280, 17, 303, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 17, 357, 27]}, {\"cell\": \"Day 8b\", \"bbox\": [386, 17, 413, 27]}, {\"cell\": \"Lastc\", \"bbox\": [437, 17, 457, 27]}, {\"cell\": \"Alpha-1-microglobulin/urinary creatinine, g/mmol\", \"bbox\": [1, 30, 175, 40]}, {\"cell\": \"HES 130/0.4\", \"bbox\": [1, 44, 41, 52]}, {\"cell\": \"17.8 (21.0)\", \"bbox\": [71, 44, 105, 52]}, {\"cell\": \"18.1 (14.8)\", \"bbox\": [122, 44, 156, 52]}, {\"cell\": \"18.3 (16.0)\", \"bbox\": [173, 44, 207, 52]}, {\"cell\": \"19.4 (20.3)\", \"bbox\": [224, 44, 258, 52]}, {\"cell\": \"19.6 (20.5)\", \"bbox\": [280, 44, 315, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 44, 370, 52]}, {\"cell\": \"13.4 (14.9)\", \"bbox\": [386, 44, 421, 52]}, {\"cell\": \"19.9 (22.7)\", \"bbox\": [437, 44, 472, 52]}, {\"cell\": \"NaCI 0.9%\", \"bbox\": [1, 56, 35, 64]}, {\"cell\": \"12.3 (12.9)\", \"bbox\": [71, 56, 105, 64]}, {\"cell\": \"17.2 (18.0)\", \"bbox\": [122, 56, 156, 64]}, {\"cell\": \"17.8 (17.1)\", \"bbox\": [173, 56, 207, 64]}, {\"cell\": \"16.9 (15.0)\", \"bbox\": [224, 56, 258, 64]}, {\"cell\": \"16.7 (14.9)\", \"bbox\": [280, 56, 315, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 56, 370, 64]}, {\"cell\": \"19.5 (23.9)\", \"bbox\": [386, 56, 421, 64]}, {\"cell\": \"19.8 (23.3)\", \"bbox\": [437, 56, 472, 64]}, {\"cell\": \"Beta-NAG/urinary creatinine, UI/mmol\", \"bbox\": [1, 69, 134, 78]}, {\"cell\": \"HES 130/0.4\", \"bbox\": [1, 82, 41, 91]}, {\"cell\": \"4.9 (6.6)\", \"bbox\": [71, 82, 98, 91]}, {\"cell\": \"4.1 (3.5)\", \"bbox\": [122, 82, 149, 91]}, {\"cell\": \"5.0 (3.8)\", \"bbox\": [173, 82, 200, 91]}, {\"cell\": \"7.9 (12.8)\", \"bbox\": [224, 82, 255, 91]}, {\"cell\": \"8.1 (13.6)\", \"bbox\": [280, 82, 311, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 82, 362, 91]}, {\"cell\": \"4.5 (3.0)\", \"bbox\": [386, 82, 413, 91]}, {\"cell\": \"6.7 (10.0)\", \"bbox\": [437, 82, 468, 91]}, {\"cell\": \"NaCI 0.9%\", \"bbox\": [1, 94, 35, 103]}, {\"cell\": \"4.1 (4.7)\", \"bbox\": [71, 94, 98, 103]}, {\"cell\": \"4.2 (3.5)\", \"bbox\": [122, 94, 149, 103]}, {\"cell\": \"6.0 (9.1)\", \"bbox\": [173, 94, 200, 103]}, {\"cell\": \"4.7 (4.2)\", \"bbox\": [224, 94, 251, 103]}, {\"cell\": \"4.5 (4.4)\", \"bbox\": [280, 94, 307, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 94, 362, 103]}, {\"cell\": \"5.8 (5.0)\", \"bbox\": [386, 94, 413, 103]}, {\"cell\": \"5.7 (5.5)\", \"bbox\": [437, 94, 464, 103]}, {\"cell\": \"NGAL/urinary creatinine, μg/mmol\", \"bbox\": [1, 107, 122, 117]}, {\"cell\": \"HES 130/0.4\", \"bbox\": [1, 120, 41, 129]}, {\"cell\": \"283.0 (785.1)\", \"bbox\": [71, 120, 113, 129]}, {\"cell\": \"352.8 (710.7)\", \"bbox\": [122, 120, 164, 129]}, {\"cell\": \"229.9 (465.5)\", \"bbox\": [173, 120, 215, 129]}, {\"cell\": \"325.9 (1,079.0)\", \"bbox\": [224, 120, 271, 129]}, {\"cell\": \"432.9 (1458.2)\", \"bbox\": [280, 120, 326, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 120, 373, 129]}, {\"cell\": \"24.4 (71.5)\", \"bbox\": [386, 120, 421, 129]}, {\"cell\": \"279.0 (884.8)\", \"bbox\": [437, 120, 479, 129]}, {\"cell\": \"NaCI 0.9%\", \"bbox\": [1, 132, 35, 141]}, {\"cell\": \"305.5 (833.9)\", \"bbox\": [71, 132, 113, 141]}, {\"cell\": \"244.9 (452.4)\", \"bbox\": [122, 132, 164, 141]}, {\"cell\": \"318.7 (644.8)\", \"bbox\": [173, 132, 215, 141]}, {\"cell\": \"149.8 (303.2)\", \"bbox\": [224, 132, 266, 141]}, {\"cell\": \"121.1 (306.1)\", \"bbox\": [280, 132, 322, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 132, 377, 141]}, {\"cell\": \"177.8 (551.5)\", \"bbox\": [386, 132, 428, 141]}, {\"cell\": \"212.8 (604.8)\", \"bbox\": [437, 132, 479, 141]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3580640_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
OutcomesUnmatched cohortPropensity-matched cohort
StatinsN = 351No statinsN = 709pStatinsN = 194No statinsN = 194p
[EMPTY_CELL]4 [2–9]5 [2–10].284 [2–11]5 [2–11].58
[EMPTY_CELL]307 (87.5)634 (89.4).32175 (90.2)180 (92.8)1
[EMPTY_CELL]150 (42.7)296 (41.7).8093 (47.9)97 (50).76
[EMPTY_CELL]107 (30.5)232 (32.7).4966 (34)55 (28.4).29
[EMPTY_CELL]183 (52.1)327 (46.1).0799 (51)106 (54.6).53
[EMPTY_CELL]
[EMPTY_CELL]65 (18.5)149 (21).3635 (18)48 (24.7).13
[EMPTY_CELL]106 (30.2)226 (31.9).5862 (32)73 (37.6).31
[EMPTY_CELL]92 (26.2)198 (27.9).6048 (24.7)67 (34.5).051
[EMPTY_CELL]112 (31.9)235 (33.1).7161 (31.4)74 (38.1).24
[EMPTY_CELL]129 (36.8)255 (36).8474 (38.1)77 (39.7).83
\", \"cells\": [{\"cell\": \"Outcomes\", \"bbox\": [1, 4, 38, 14]}, {\"cell\": \"Unmatched cohort\", \"bbox\": [166, 4, 233, 14]}, {\"cell\": \"Propensity-matched cohort\", \"bbox\": [338, 4, 435, 14]}, {\"cell\": \"StatinsN = 351\", \"bbox\": [166, 20, 195, 39]}, {\"cell\": \"No statinsN = 709\", \"bbox\": [229, 20, 265, 39]}, {\"cell\": \"p\", \"bbox\": [297, 20, 303, 30]}, {\"cell\": \"StatinsN = 194\", \"bbox\": [338, 20, 367, 39]}, {\"cell\": \"No statinsN = 194\", \"bbox\": [401, 20, 437, 39]}, {\"cell\": \"p\", \"bbox\": [469, 20, 475, 30]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 47, 123, 57]}, {\"cell\": \"4 [2–9]\", \"bbox\": [166, 47, 189, 57]}, {\"cell\": \"5 [2–10]\", \"bbox\": [228, 47, 256, 57]}, {\"cell\": \".28\", \"bbox\": [297, 47, 308, 57]}, {\"cell\": \"4 [2–11]\", \"bbox\": [338, 47, 365, 57]}, {\"cell\": \"5 [2–11]\", \"bbox\": [401, 47, 428, 57]}, {\"cell\": \".58\", \"bbox\": [469, 47, 480, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 59, 113, 69]}, {\"cell\": \"307 (87.5)\", \"bbox\": [166, 59, 198, 69]}, {\"cell\": \"634 (89.4)\", \"bbox\": [228, 59, 261, 69]}, {\"cell\": \".32\", \"bbox\": [297, 59, 308, 69]}, {\"cell\": \"175 (90.2)\", \"bbox\": [338, 59, 371, 69]}, {\"cell\": \"180 (92.8)\", \"bbox\": [401, 59, 433, 69]}, {\"cell\": \"1\", \"bbox\": [469, 59, 475, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 71, 91, 81]}, {\"cell\": \"150 (42.7)\", \"bbox\": [166, 71, 198, 81]}, {\"cell\": \"296 (41.7)\", \"bbox\": [228, 71, 261, 81]}, {\"cell\": \".80\", \"bbox\": [297, 71, 308, 81]}, {\"cell\": \"93 (47.9)\", \"bbox\": [338, 71, 367, 81]}, {\"cell\": \"97 (50)\", \"bbox\": [401, 71, 424, 81]}, {\"cell\": \".76\", \"bbox\": [469, 71, 480, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 83, 126, 93]}, {\"cell\": \"107 (30.5)\", \"bbox\": [166, 83, 198, 93]}, {\"cell\": \"232 (32.7)\", \"bbox\": [228, 83, 261, 93]}, {\"cell\": \".49\", \"bbox\": [297, 83, 308, 93]}, {\"cell\": \"66 (34)\", \"bbox\": [338, 83, 361, 93]}, {\"cell\": \"55 (28.4)\", \"bbox\": [401, 83, 430, 93]}, {\"cell\": \".29\", \"bbox\": [469, 83, 480, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 96, 133, 105]}, {\"cell\": \"183 (52.1)\", \"bbox\": [166, 96, 198, 105]}, {\"cell\": \"327 (46.1)\", \"bbox\": [228, 96, 261, 105]}, {\"cell\": \".07\", \"bbox\": [297, 96, 308, 105]}, {\"cell\": \"99 (51)\", \"bbox\": [338, 96, 361, 105]}, {\"cell\": \"106 (54.6)\", \"bbox\": [401, 96, 433, 105]}, {\"cell\": \".53\", \"bbox\": [469, 96, 480, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 108, 31, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 120, 61, 129]}, {\"cell\": \"65 (18.5)\", \"bbox\": [166, 120, 195, 129]}, {\"cell\": \"149 (21)\", \"bbox\": [228, 120, 256, 129]}, {\"cell\": \".36\", \"bbox\": [297, 120, 308, 129]}, {\"cell\": \"35 (18)\", \"bbox\": [338, 120, 361, 129]}, {\"cell\": \"48 (24.7)\", \"bbox\": [401, 120, 430, 129]}, {\"cell\": \".13\", \"bbox\": [469, 120, 480, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 132, 76, 141]}, {\"cell\": \"106 (30.2)\", \"bbox\": [166, 132, 198, 141]}, {\"cell\": \"226 (31.9)\", \"bbox\": [228, 132, 261, 141]}, {\"cell\": \".58\", \"bbox\": [297, 132, 308, 141]}, {\"cell\": \"62 (32)\", \"bbox\": [338, 132, 361, 141]}, {\"cell\": \"73 (37.6)\", \"bbox\": [401, 132, 430, 141]}, {\"cell\": \".31\", \"bbox\": [469, 132, 480, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 144, 72, 153]}, {\"cell\": \"92 (26.2)\", \"bbox\": [166, 144, 195, 153]}, {\"cell\": \"198 (27.9)\", \"bbox\": [228, 144, 261, 153]}, {\"cell\": \".60\", \"bbox\": [297, 144, 308, 153]}, {\"cell\": \"48 (24.7)\", \"bbox\": [338, 144, 367, 153]}, {\"cell\": \"67 (34.5)\", \"bbox\": [401, 144, 430, 153]}, {\"cell\": \".051\", \"bbox\": [469, 144, 484, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 156, 72, 166]}, {\"cell\": \"112 (31.9)\", \"bbox\": [166, 156, 198, 166]}, {\"cell\": \"235 (33.1)\", \"bbox\": [228, 156, 261, 166]}, {\"cell\": \".71\", \"bbox\": [297, 156, 308, 166]}, {\"cell\": \"61 (31.4)\", \"bbox\": [338, 156, 367, 166]}, {\"cell\": \"74 (38.1)\", \"bbox\": [401, 156, 430, 166]}, {\"cell\": \".24\", \"bbox\": [469, 156, 480, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 168, 72, 178]}, {\"cell\": \"129 (36.8)\", \"bbox\": [166, 168, 198, 178]}, {\"cell\": \"255 (36)\", \"bbox\": [228, 168, 256, 178]}, {\"cell\": \".84\", \"bbox\": [297, 168, 308, 178]}, {\"cell\": \"74 (38.1)\", \"bbox\": [338, 168, 367, 178]}, {\"cell\": \"77 (39.7)\", \"bbox\": [401, 168, 430, 178]}, {\"cell\": \".83\", \"bbox\": [469, 168, 480, 178]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5773465_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]Parameters
SamplesDegradation Time [days]CompositionTensile Strength [MPa]Elongation at Break [%]Elastic Modulus [MPa]
SMC[EMPTY_CELL]MCCh: 66.7Glycerol: 33.30.1721.531.40
SMC-TCP[EMPTY_CELL]MCCh: 53.4β-TCP: 13.3Glycerol: 33.30.0152.411.00
SMC[EMPTY_CELL]MCCh: 66.7Glycerol: 33.30.00731.880.005
SMC-TCP[EMPTY_CELL]MCCh: 53.4β-TCP: 13.3Glycerol: 33.30.00553.140.015
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Parameters\", \"bbox\": [336, 6, 392, 18]}, {\"cell\": \"Samples\", \"bbox\": [14, 22, 55, 34]}, {\"cell\": \"Degradation Time [days]\", \"bbox\": [76, 22, 136, 49]}, {\"cell\": \"Composition\", \"bbox\": [157, 22, 219, 34]}, {\"cell\": \"Tensile Strength [MPa]\", \"bbox\": [239, 22, 317, 49]}, {\"cell\": \"Elongation at Break [%]\", \"bbox\": [331, 22, 397, 49]}, {\"cell\": \"Elastic Modulus [MPa]\", \"bbox\": [407, 22, 483, 49]}, {\"cell\": \"SMC\", \"bbox\": [22, 52, 47, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 52, 110, 64]}, {\"cell\": \"MCCh: 66.7Glycerol: 33.3\", \"bbox\": [155, 52, 221, 79]}, {\"cell\": \"0.172\", \"bbox\": [265, 52, 291, 64]}, {\"cell\": \"1.53\", \"bbox\": [353, 52, 375, 64]}, {\"cell\": \"1.40\", \"bbox\": [434, 52, 456, 64]}, {\"cell\": \"SMC-TCP\", \"bbox\": [10, 82, 59, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 82, 110, 94]}, {\"cell\": \"MCCh: 53.4β-TCP: 13.3Glycerol: 33.3\", \"bbox\": [155, 82, 221, 124]}, {\"cell\": \"0.015\", \"bbox\": [265, 82, 291, 94]}, {\"cell\": \"2.41\", \"bbox\": [353, 82, 375, 94]}, {\"cell\": \"1.00\", \"bbox\": [434, 82, 456, 94]}, {\"cell\": \"SMC\", \"bbox\": [22, 127, 47, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [99, 127, 112, 139]}, {\"cell\": \"MCCh: 66.7Glycerol: 33.3\", \"bbox\": [155, 127, 221, 154]}, {\"cell\": \"0.0073\", \"bbox\": [262, 127, 294, 139]}, {\"cell\": \"1.88\", \"bbox\": [353, 127, 375, 139]}, {\"cell\": \"0.005\", \"bbox\": [432, 127, 459, 139]}, {\"cell\": \"SMC-TCP\", \"bbox\": [10, 157, 59, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [99, 157, 112, 169]}, {\"cell\": \"MCCh: 53.4β-TCP: 13.3Glycerol: 33.3\", \"bbox\": [155, 157, 221, 199]}, {\"cell\": \"0.0055\", \"bbox\": [262, 157, 294, 169]}, {\"cell\": \"3.14\", \"bbox\": [353, 157, 375, 169]}, {\"cell\": \"0.015\", \"bbox\": [432, 157, 459, 169]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3397549_006_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
SNP (dbSNP ID)chr11 positionvariant amino acidminor allele frequency in chronic tinnitushomozygous/heterozygous carriers of the minor allele (pHWE)
g.15,002T>C74,168,599T4A[EMPTY_CELL]-
g.15,041G>A74,168,560V17M[EMPTY_CELL]-
g.15,108C>G (rs34604640)74,168,493P39R[EMPTY_CELL]-
g.15,131C>G (rs17215444)74,168,470R47G[EMPTY_CELL]-
g.15,150G>A74,168,451R53H[EMPTY_CELL]-
g.15,190T>C (rs2270676)74,168,411F66F[EMPTY_CELL]5/62 (0.788)
g.15,220C>T (rs17221826)74,168,381I76I[EMPTY_CELL]-
g.15,240G>A (rs17215437)74,168,361R83H[EMPTY_CELL]0/3 (0.930)
g.15,255G>A (rs17221833)74,168,346R88H[EMPTY_CELL]-
g.15,288G>A74,168,313R99H[EMPTY_CELL]-
g.15,321C>T (rs11822977)74,168,280-[EMPTY_CELL]-
\", \"cells\": [{\"cell\": \"SNP (dbSNP ID)\", \"bbox\": [11, 4, 67, 13]}, {\"cell\": \"chr11 position\", \"bbox\": [87, 4, 117, 22]}, {\"cell\": \"variant amino acid\", \"bbox\": [130, 4, 180, 22]}, {\"cell\": \"minor allele frequency in chronic tinnitus\", \"bbox\": [187, 4, 304, 22]}, {\"cell\": \"homozygous/heterozygous carriers of the minor allele (pHWE)\", \"bbox\": [311, 4, 482, 23]}, {\"cell\": \"g.15,002T>C\", \"bbox\": [18, 26, 59, 36]}, {\"cell\": \"74,168,599\", \"bbox\": [85, 26, 120, 36]}, {\"cell\": \"T4A\", \"bbox\": [148, 26, 162, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 26, 255, 36]}, {\"cell\": \"-\", \"bbox\": [395, 26, 399, 36]}, {\"cell\": \"g.15,041G>A\", \"bbox\": [18, 40, 60, 49]}, {\"cell\": \"74,168,560\", \"bbox\": [85, 40, 120, 49]}, {\"cell\": \"V17M\", \"bbox\": [145, 40, 165, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 40, 255, 49]}, {\"cell\": \"-\", \"bbox\": [395, 40, 399, 49]}, {\"cell\": \"g.15,108C>G (rs34604640)\", \"bbox\": [18, 53, 60, 71]}, {\"cell\": \"74,168,493\", \"bbox\": [85, 53, 120, 62]}, {\"cell\": \"P39R\", \"bbox\": [146, 53, 164, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 53, 255, 62]}, {\"cell\": \"-\", \"bbox\": [395, 53, 399, 62]}, {\"cell\": \"g.15,131C>G (rs17215444)\", \"bbox\": [18, 75, 60, 93]}, {\"cell\": \"74,168,470\", \"bbox\": [85, 75, 120, 84]}, {\"cell\": \"R47G\", \"bbox\": [146, 75, 164, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 75, 255, 84]}, {\"cell\": \"-\", \"bbox\": [395, 75, 399, 84]}, {\"cell\": \"g.15,150G>A\", \"bbox\": [18, 97, 60, 106]}, {\"cell\": \"74,168,451\", \"bbox\": [85, 97, 120, 106]}, {\"cell\": \"R53H\", \"bbox\": [146, 97, 164, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 97, 255, 106]}, {\"cell\": \"-\", \"bbox\": [395, 97, 399, 106]}, {\"cell\": \"g.15,190T>C (rs2270676)\", \"bbox\": [16, 110, 61, 129]}, {\"cell\": \"74,168,411\", \"bbox\": [82, 110, 122, 120]}, {\"cell\": \"F66F\", \"bbox\": [146, 110, 164, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 110, 256, 120]}, {\"cell\": \"5/62 (0.788)\", \"bbox\": [375, 110, 418, 120]}, {\"cell\": \"g.15,220C>T (rs17221826)\", \"bbox\": [18, 132, 60, 151]}, {\"cell\": \"74,168,381\", \"bbox\": [85, 132, 120, 142]}, {\"cell\": \"I76I\", \"bbox\": [148, 132, 161, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 132, 255, 142]}, {\"cell\": \"-\", \"bbox\": [395, 132, 399, 142]}, {\"cell\": \"g.15,240G>A (rs17215437)\", \"bbox\": [15, 154, 62, 173]}, {\"cell\": \"74,168,361\", \"bbox\": [82, 154, 122, 164]}, {\"cell\": \"R83H\", \"bbox\": [145, 154, 165, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 154, 256, 164]}, {\"cell\": \"0/3 (0.930)\", \"bbox\": [377, 154, 416, 164]}, {\"cell\": \"g.15,255G>A (rs17221833)\", \"bbox\": [18, 177, 60, 195]}, {\"cell\": \"74,168,346\", \"bbox\": [85, 177, 120, 186]}, {\"cell\": \"R88H\", \"bbox\": [146, 177, 164, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 177, 255, 186]}, {\"cell\": \"-\", \"bbox\": [395, 177, 399, 186]}, {\"cell\": \"g.15,288G>A\", \"bbox\": [18, 199, 60, 208]}, {\"cell\": \"74,168,313\", \"bbox\": [85, 199, 120, 208]}, {\"cell\": \"R99H\", \"bbox\": [146, 199, 164, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 199, 255, 208]}, {\"cell\": \"-\", \"bbox\": [395, 199, 399, 208]}, {\"cell\": \"g.15,321C>T (rs11822977)\", \"bbox\": [18, 212, 60, 230]}, {\"cell\": \"74,168,280\", \"bbox\": [85, 212, 120, 221]}, {\"cell\": \"-\", \"bbox\": [153, 212, 157, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 212, 255, 221]}, {\"cell\": \"-\", \"bbox\": [395, 212, 399, 221]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3180252_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
DescriptionChrStartEndPeak scoreAnnotationDistance to SSS (bp)
mir-3687achr2198252739827785[EMPTY_CELL]TTS321
mir-663chr202618834026191020[EMPTY_CELL]Promoter-TSS−733
mir-548f-5chr133653193236532876[EMPTY_CELL]Intron−17000
mir-122chr185617960156180702[EMPTY_CELL]Intron61798
let-7a-1chr99692782796929643[EMPTY_CELL]Intergenic−9435
mir-3910-2chr99447298094474733[EMPTY_CELL]Intergenic−75228
mir-592chr7125691975125692956[EMPTY_CELL]Intergenic1005759
mir-3648achr2196987629700581[EMPTY_CELL]Intergenic−126353
mir-193achr172987612629877625[EMPTY_CELL]Intergenic−10141
mir-3943chr74323688643238815[EMPTY_CELL]Intron47413
mir-1538chr166959928569600694[EMPTY_CELL]Promoter-TSS−136
mir-595chr7157939829157940996[EMPTY_CELL]Intron385055
\", \"cells\": [{\"cell\": \"Description\", \"bbox\": [1, 7, 46, 17]}, {\"cell\": \"Chr\", \"bbox\": [78, 7, 93, 17]}, {\"cell\": \"Start\", \"bbox\": [136, 7, 156, 17]}, {\"cell\": \"End\", \"bbox\": [208, 7, 225, 17]}, {\"cell\": \"Peak score\", \"bbox\": [266, 7, 309, 17]}, {\"cell\": \"Annotation\", \"bbox\": [342, 7, 386, 17]}, {\"cell\": \"Distance to SSS (bp)\", \"bbox\": [419, 7, 499, 17]}, {\"cell\": \"mir-3687a\", \"bbox\": [1, 23, 37, 34]}, {\"cell\": \"chr21\", \"bbox\": [74, 24, 96, 34]}, {\"cell\": \"9825273\", \"bbox\": [129, 24, 162, 34]}, {\"cell\": \"9827785\", \"bbox\": [200, 24, 233, 34]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [278, 24, 297, 34]}, {\"cell\": \"TTS\", \"bbox\": [356, 24, 373, 34]}, {\"cell\": \"321\", \"bbox\": [451, 24, 466, 34]}, {\"cell\": \"mir-663\", \"bbox\": [1, 33, 29, 42]}, {\"cell\": \"chr20\", \"bbox\": [74, 33, 96, 42]}, {\"cell\": \"26188340\", \"bbox\": [127, 33, 164, 42]}, {\"cell\": \"26191020\", \"bbox\": [198, 33, 235, 42]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [272, 33, 303, 42]}, {\"cell\": \"Promoter-TSS\", \"bbox\": [338, 33, 390, 42]}, {\"cell\": \"−733\", \"bbox\": [448, 33, 470, 42]}, {\"cell\": \"mir-548f-5\", \"bbox\": [1, 41, 38, 51]}, {\"cell\": \"chr13\", \"bbox\": [74, 41, 96, 51]}, {\"cell\": \"36531932\", \"bbox\": [127, 41, 164, 51]}, {\"cell\": \"36532876\", \"bbox\": [198, 41, 235, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [274, 41, 301, 51]}, {\"cell\": \"Intron\", \"bbox\": [353, 41, 375, 51]}, {\"cell\": \"−17000\", \"bbox\": [444, 41, 475, 51]}, {\"cell\": \"mir-122\", \"bbox\": [1, 50, 29, 59]}, {\"cell\": \"chr18\", \"bbox\": [74, 50, 96, 59]}, {\"cell\": \"56179601\", \"bbox\": [127, 50, 164, 59]}, {\"cell\": \"56180702\", \"bbox\": [198, 50, 235, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [274, 50, 301, 59]}, {\"cell\": \"Intron\", \"bbox\": [353, 50, 375, 59]}, {\"cell\": \"61798\", \"bbox\": [447, 50, 471, 59]}, {\"cell\": \"let-7a-1\", \"bbox\": [1, 58, 29, 68]}, {\"cell\": \"chr9\", \"bbox\": [77, 58, 94, 68]}, {\"cell\": \"96927827\", \"bbox\": [127, 58, 164, 68]}, {\"cell\": \"96929643\", \"bbox\": [198, 58, 235, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [272, 58, 303, 68]}, {\"cell\": \"Intergenic\", \"bbox\": [346, 58, 382, 68]}, {\"cell\": \"−9435\", \"bbox\": [446, 58, 473, 68]}, {\"cell\": \"mir-3910-2\", \"bbox\": [0, 66, 40, 76]}, {\"cell\": \"chr9\", \"bbox\": [77, 66, 94, 76]}, {\"cell\": \"94472980\", \"bbox\": [127, 66, 164, 76]}, {\"cell\": \"94474733\", \"bbox\": [198, 66, 235, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [274, 66, 301, 76]}, {\"cell\": \"Intergenic\", \"bbox\": [346, 66, 382, 76]}, {\"cell\": \"−75228\", \"bbox\": [444, 66, 475, 76]}, {\"cell\": \"mir-592\", \"bbox\": [0, 75, 29, 85]}, {\"cell\": \"chr7\", \"bbox\": [77, 75, 94, 85]}, {\"cell\": \"125691975\", \"bbox\": [125, 75, 167, 85]}, {\"cell\": \"125692956\", \"bbox\": [195, 75, 237, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [272, 75, 303, 85]}, {\"cell\": \"Intergenic\", \"bbox\": [346, 75, 382, 85]}, {\"cell\": \"1005759\", \"bbox\": [442, 75, 475, 85]}, {\"cell\": \"mir-3648a\", \"bbox\": [0, 82, 37, 93]}, {\"cell\": \"chr21\", \"bbox\": [74, 83, 96, 93]}, {\"cell\": \"9698762\", \"bbox\": [129, 83, 162, 93]}, {\"cell\": \"9700581\", \"bbox\": [200, 83, 233, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [274, 83, 301, 93]}, {\"cell\": \"Intergenic\", \"bbox\": [346, 83, 382, 93]}, {\"cell\": \"−126353\", \"bbox\": [443, 83, 476, 93]}, {\"cell\": \"mir-193a\", \"bbox\": [1, 92, 33, 101]}, {\"cell\": \"chr17\", \"bbox\": [74, 92, 96, 101]}, {\"cell\": \"29876126\", \"bbox\": [127, 92, 164, 101]}, {\"cell\": \"29877625\", \"bbox\": [198, 92, 235, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [272, 92, 303, 101]}, {\"cell\": \"Intergenic\", \"bbox\": [346, 92, 382, 101]}, {\"cell\": \"−10141\", \"bbox\": [444, 92, 475, 101]}, {\"cell\": \"mir-3943\", \"bbox\": [0, 100, 33, 110]}, {\"cell\": \"chr7\", \"bbox\": [77, 100, 94, 110]}, {\"cell\": \"43236886\", \"bbox\": [127, 100, 164, 110]}, {\"cell\": \"43238815\", \"bbox\": [198, 100, 235, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [272, 100, 303, 110]}, {\"cell\": \"Intron\", \"bbox\": [353, 100, 375, 110]}, {\"cell\": \"47413\", \"bbox\": [447, 100, 471, 110]}, {\"cell\": \"mir-1538\", \"bbox\": [0, 109, 33, 118]}, {\"cell\": \"chr16\", \"bbox\": [74, 109, 96, 118]}, {\"cell\": \"69599285\", \"bbox\": [127, 109, 164, 118]}, {\"cell\": \"69600694\", \"bbox\": [198, 109, 235, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [274, 109, 301, 118]}, {\"cell\": \"Promoter-TSS\", \"bbox\": [338, 109, 390, 118]}, {\"cell\": \"−136\", \"bbox\": [449, 109, 470, 118]}, {\"cell\": \"mir-595\", \"bbox\": [0, 117, 29, 127]}, {\"cell\": \"chr7\", \"bbox\": [77, 117, 94, 127]}, {\"cell\": \"157939829\", \"bbox\": [125, 117, 167, 127]}, {\"cell\": \"157940996\", \"bbox\": [195, 117, 237, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [274, 117, 301, 127]}, {\"cell\": \"Intron\", \"bbox\": [353, 117, 375, 127]}, {\"cell\": \"385055\", \"bbox\": [445, 117, 473, 127]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4669786_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Swallowing structuresCurrent studyFeng et al 2007 [21]Levendag et al* 2007 [7]
[EMPTY_CELL][EMPTY_CELL]MedianRangeMedianRangeMedianRange
PCsVolume (cc)2011-32[EMPTY_CELL]NANANA
[EMPTY_CELL]Dose (Gy)5939-66[EMPTY_CELL]51-72486.0-73.0
scmVolume (cc)126-21[EMPTY_CELL]NANANA
[EMPTY_CELL]Dose (Gy)59.424-69[EMPTY_CELL]57-745122.0-73.0
mcmVolume (cc)3.61.5-9[EMPTY_CELL]NANANA
[EMPTY_CELL]Dose (Gy)5937.0-71.5[EMPTY_CELL]53-754811.0-72.0
icmVolume (cc)3.70.9-7[EMPTY_CELL]NANANA
[EMPTY_CELL]Dose (Gy)5329-73[EMPTY_CELL]30-70326.0-73.0
GSLVolume (cc)15.36.4-23[EMPTY_CELL]NANANA
[EMPTY_CELL]Dose (Gy)5328-70[EMPTY_CELL]22-72NANA
eimVolume (cc)5.40.7-44[EMPTY_CELL]NANANA
[EMPTY_CELL]Dose (Gy)3916.0-67.8[EMPTY_CELL]15-66183.0-64.0
\", \"cells\": [{\"cell\": \"Swallowing structures\", \"bbox\": [1, 4, 79, 13]}, {\"cell\": \"Current study\", \"bbox\": [153, 4, 202, 13]}, {\"cell\": \"Feng et al 2007 [21]\", \"bbox\": [255, 4, 327, 13]}, {\"cell\": \"Levendag et al* 2007 [7]\", \"bbox\": [375, 4, 463, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Median\", \"bbox\": [148, 17, 174, 27]}, {\"cell\": \"Range\", \"bbox\": [178, 17, 199, 27]}, {\"cell\": \"Median\", \"bbox\": [265, 17, 291, 27]}, {\"cell\": \"Range\", \"bbox\": [295, 17, 317, 27]}, {\"cell\": \"Median\", \"bbox\": [389, 17, 415, 27]}, {\"cell\": \"Range\", \"bbox\": [419, 17, 440, 27]}, {\"cell\": \"PCs\", \"bbox\": [1, 30, 15, 40]}, {\"cell\": \"Volume (cc)\", \"bbox\": [53, 30, 93, 40]}, {\"cell\": \"20\", \"bbox\": [164, 30, 174, 40]}, {\"cell\": \"11-32\", \"bbox\": [178, 30, 197, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 30, 291, 40]}, {\"cell\": \"NA\", \"bbox\": [295, 30, 307, 40]}, {\"cell\": \"NA\", \"bbox\": [403, 30, 415, 40]}, {\"cell\": \"NA\", \"bbox\": [419, 30, 430, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Dose (Gy)\", \"bbox\": [53, 42, 86, 52]}, {\"cell\": \"59\", \"bbox\": [164, 42, 174, 52]}, {\"cell\": \"39-66\", \"bbox\": [178, 42, 197, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 42, 291, 52]}, {\"cell\": \"51-72\", \"bbox\": [295, 42, 314, 52]}, {\"cell\": \"48\", \"bbox\": [405, 42, 415, 52]}, {\"cell\": \"6.0-73.0\", \"bbox\": [419, 42, 445, 52]}, {\"cell\": \"scm\", \"bbox\": [1, 56, 16, 65]}, {\"cell\": \"Volume (cc)\", \"bbox\": [53, 56, 93, 65]}, {\"cell\": \"12\", \"bbox\": [164, 56, 174, 65]}, {\"cell\": \"6-21\", \"bbox\": [178, 56, 193, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 56, 291, 65]}, {\"cell\": \"NA\", \"bbox\": [295, 56, 307, 65]}, {\"cell\": \"NA\", \"bbox\": [403, 56, 415, 65]}, {\"cell\": \"NA\", \"bbox\": [419, 56, 430, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Dose (Gy)\", \"bbox\": [53, 68, 86, 77]}, {\"cell\": \"59.4\", \"bbox\": [159, 68, 174, 77]}, {\"cell\": \"24-69\", \"bbox\": [178, 68, 197, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 68, 291, 77]}, {\"cell\": \"57-74\", \"bbox\": [295, 68, 314, 77]}, {\"cell\": \"51\", \"bbox\": [405, 68, 415, 77]}, {\"cell\": \"22.0-73.0\", \"bbox\": [419, 68, 448, 77]}, {\"cell\": \"mcm\", \"bbox\": [1, 81, 20, 90]}, {\"cell\": \"Volume (cc)\", \"bbox\": [53, 81, 93, 90]}, {\"cell\": \"3.6\", \"bbox\": [163, 81, 174, 90]}, {\"cell\": \"1.5-9\", \"bbox\": [178, 81, 195, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 81, 291, 90]}, {\"cell\": \"NA\", \"bbox\": [295, 81, 307, 90]}, {\"cell\": \"NA\", \"bbox\": [403, 81, 415, 90]}, {\"cell\": \"NA\", \"bbox\": [419, 81, 430, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Dose (Gy)\", \"bbox\": [53, 93, 86, 102]}, {\"cell\": \"59\", \"bbox\": [164, 93, 174, 102]}, {\"cell\": \"37.0-71.5\", \"bbox\": [178, 93, 207, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 93, 291, 102]}, {\"cell\": \"53-75\", \"bbox\": [295, 93, 314, 102]}, {\"cell\": \"48\", \"bbox\": [405, 93, 415, 102]}, {\"cell\": \"11.0-72.0\", \"bbox\": [419, 93, 448, 102]}, {\"cell\": \"icm\", \"bbox\": [1, 106, 15, 115]}, {\"cell\": \"Volume (cc)\", \"bbox\": [53, 106, 93, 115]}, {\"cell\": \"3.7\", \"bbox\": [163, 106, 174, 115]}, {\"cell\": \"0.9-7\", \"bbox\": [178, 106, 195, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 106, 291, 115]}, {\"cell\": \"NA\", \"bbox\": [295, 106, 307, 115]}, {\"cell\": \"NA\", \"bbox\": [403, 106, 415, 115]}, {\"cell\": \"NA\", \"bbox\": [419, 106, 430, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Dose (Gy)\", \"bbox\": [53, 118, 86, 127]}, {\"cell\": \"53\", \"bbox\": [164, 118, 174, 127]}, {\"cell\": \"29-73\", \"bbox\": [178, 118, 197, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 118, 291, 127]}, {\"cell\": \"30-70\", \"bbox\": [295, 118, 314, 127]}, {\"cell\": \"32\", \"bbox\": [405, 118, 415, 127]}, {\"cell\": \"6.0-73.0\", \"bbox\": [419, 118, 445, 127]}, {\"cell\": \"GSL\", \"bbox\": [1, 131, 16, 141]}, {\"cell\": \"Volume (cc)\", \"bbox\": [53, 131, 93, 141]}, {\"cell\": \"15.3\", \"bbox\": [159, 131, 174, 141]}, {\"cell\": \"6.4-23\", \"bbox\": [178, 131, 198, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 131, 291, 141]}, {\"cell\": \"NA\", \"bbox\": [295, 131, 307, 141]}, {\"cell\": \"NA\", \"bbox\": [403, 131, 415, 141]}, {\"cell\": \"NA\", \"bbox\": [419, 131, 430, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Dose (Gy)\", \"bbox\": [53, 143, 86, 152]}, {\"cell\": \"53\", \"bbox\": [164, 143, 174, 152]}, {\"cell\": \"28-70\", \"bbox\": [178, 143, 197, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 143, 291, 152]}, {\"cell\": \"22-72\", \"bbox\": [295, 143, 314, 152]}, {\"cell\": \"NA\", \"bbox\": [403, 143, 415, 152]}, {\"cell\": \"NA\", \"bbox\": [419, 143, 430, 152]}, {\"cell\": \"eim\", \"bbox\": [1, 156, 15, 166]}, {\"cell\": \"Volume (cc)\", \"bbox\": [53, 156, 93, 166]}, {\"cell\": \"5.4\", \"bbox\": [163, 156, 174, 166]}, {\"cell\": \"0.7-44\", \"bbox\": [178, 156, 198, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 156, 291, 166]}, {\"cell\": \"NA\", \"bbox\": [295, 156, 307, 166]}, {\"cell\": \"NA\", \"bbox\": [403, 156, 415, 166]}, {\"cell\": \"NA\", \"bbox\": [419, 156, 430, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Dose (Gy)\", \"bbox\": [53, 168, 86, 178]}, {\"cell\": \"39\", \"bbox\": [164, 168, 174, 178]}, {\"cell\": \"16.0-67.8\", \"bbox\": [178, 168, 207, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 168, 291, 178]}, {\"cell\": \"15-66\", \"bbox\": [295, 168, 314, 178]}, {\"cell\": \"18\", \"bbox\": [405, 168, 415, 178]}, {\"cell\": \"3.0-64.0\", \"bbox\": [419, 168, 445, 178]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3027127_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]accreditednon-accreditedp
Picker factorsnMean (STD)nMean (STD)Valueu
[EMPTY_CELL]182518.09 (27.57)119617.11 (26.40)0.538
[EMPTY_CELL]182514.85 (25.56)119915.19 (25.12)0.341
[EMPTY_CELL]179117.52 (30.60)118218.63 (31.10)0.232
[EMPTY_CELL]174926.30 (36.24)115624.22 (35.32)0.122
[EMPTY_CELL]175415.04 (25.52)115016.30 (26.14)0.136
[EMPTY_CELL]178122.94 (37.14)117625.13 (39.14)0.232
[EMPTY_CELL]164751.08 (42.44)106751.55 (42.19)0.797
[EMPTY_CELL]178011.46 (29.39)116011.38 (29.08)0.940
[EMPTY_CELL]110130.61 (40.10)75732.03 (41.08)0.527
[EMPTY_CELL]129024.57 (36.44)86320.95 (33.58)0.055
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"accredited\", \"bbox\": [178, 3, 217, 13]}, {\"cell\": \"non-accredited\", \"bbox\": [312, 3, 369, 13]}, {\"cell\": \"p\", \"bbox\": [444, 3, 451, 13]}, {\"cell\": \"Picker factors\", \"bbox\": [11, 17, 61, 27]}, {\"cell\": \"n\", \"bbox\": [158, 17, 165, 27]}, {\"cell\": \"Mean (STD)\", \"bbox\": [212, 17, 255, 27]}, {\"cell\": \"n\", \"bbox\": [301, 17, 308, 27]}, {\"cell\": \"Mean (STD)\", \"bbox\": [355, 17, 398, 27]}, {\"cell\": \"Valueu\", \"bbox\": [435, 17, 460, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 43, 97, 53]}, {\"cell\": \"1825\", \"bbox\": [152, 43, 171, 53]}, {\"cell\": \"18.09 (27.57)\", \"bbox\": [211, 43, 255, 53]}, {\"cell\": \"1196\", \"bbox\": [295, 43, 314, 53]}, {\"cell\": \"17.11 (26.40)\", \"bbox\": [354, 43, 398, 53]}, {\"cell\": \"0.538\", \"bbox\": [438, 43, 458, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 57, 86, 67]}, {\"cell\": \"1825\", \"bbox\": [152, 57, 171, 67]}, {\"cell\": \"14.85 (25.56)\", \"bbox\": [211, 57, 255, 67]}, {\"cell\": \"1199\", \"bbox\": [295, 57, 314, 67]}, {\"cell\": \"15.19 (25.12)\", \"bbox\": [354, 57, 398, 67]}, {\"cell\": \"0.341\", \"bbox\": [438, 57, 458, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 71, 74, 81]}, {\"cell\": \"1791\", \"bbox\": [152, 71, 171, 81]}, {\"cell\": \"17.52 (30.60)\", \"bbox\": [211, 71, 255, 81]}, {\"cell\": \"1182\", \"bbox\": [295, 71, 314, 81]}, {\"cell\": \"18.63 (31.10)\", \"bbox\": [354, 71, 398, 81]}, {\"cell\": \"0.232\", \"bbox\": [438, 71, 458, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 85, 95, 95]}, {\"cell\": \"1749\", \"bbox\": [152, 85, 171, 95]}, {\"cell\": \"26.30 (36.24)\", \"bbox\": [211, 85, 255, 95]}, {\"cell\": \"1156\", \"bbox\": [295, 85, 314, 95]}, {\"cell\": \"24.22 (35.32)\", \"bbox\": [354, 85, 398, 95]}, {\"cell\": \"0.122\", \"bbox\": [438, 85, 458, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 99, 74, 109]}, {\"cell\": \"1754\", \"bbox\": [152, 99, 171, 109]}, {\"cell\": \"15.04 (25.52)\", \"bbox\": [211, 99, 255, 109]}, {\"cell\": \"1150\", \"bbox\": [295, 99, 314, 109]}, {\"cell\": \"16.30 (26.14)\", \"bbox\": [354, 99, 398, 109]}, {\"cell\": \"0.136\", \"bbox\": [438, 99, 458, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 113, 84, 123]}, {\"cell\": \"1781\", \"bbox\": [152, 113, 171, 123]}, {\"cell\": \"22.94 (37.14)\", \"bbox\": [211, 113, 255, 123]}, {\"cell\": \"1176\", \"bbox\": [295, 113, 314, 123]}, {\"cell\": \"25.13 (39.14)\", \"bbox\": [354, 113, 398, 123]}, {\"cell\": \"0.232\", \"bbox\": [438, 113, 458, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 127, 82, 137]}, {\"cell\": \"1647\", \"bbox\": [152, 127, 171, 137]}, {\"cell\": \"51.08 (42.44)\", \"bbox\": [211, 127, 255, 137]}, {\"cell\": \"1067\", \"bbox\": [295, 127, 314, 137]}, {\"cell\": \"51.55 (42.19)\", \"bbox\": [354, 127, 398, 137]}, {\"cell\": \"0.797\", \"bbox\": [438, 127, 458, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 141, 83, 151]}, {\"cell\": \"1780\", \"bbox\": [152, 141, 171, 151]}, {\"cell\": \"11.46 (29.39)\", \"bbox\": [211, 141, 255, 151]}, {\"cell\": \"1160\", \"bbox\": [295, 141, 314, 151]}, {\"cell\": \"11.38 (29.08)\", \"bbox\": [354, 141, 398, 151]}, {\"cell\": \"0.940\", \"bbox\": [438, 141, 458, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 155, 106, 165]}, {\"cell\": \"1101\", \"bbox\": [153, 155, 171, 165]}, {\"cell\": \"30.61 (40.10)\", \"bbox\": [211, 155, 255, 165]}, {\"cell\": \"757\", \"bbox\": [298, 155, 312, 165]}, {\"cell\": \"32.03 (41.08)\", \"bbox\": [354, 155, 398, 165]}, {\"cell\": \"0.527\", \"bbox\": [438, 155, 458, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 169, 74, 179]}, {\"cell\": \"1290\", \"bbox\": [152, 169, 171, 179]}, {\"cell\": \"24.57 (36.44)\", \"bbox\": [211, 169, 255, 179]}, {\"cell\": \"863\", \"bbox\": [297, 169, 312, 179]}, {\"cell\": \"20.95 (33.58)\", \"bbox\": [354, 169, 398, 179]}, {\"cell\": \"0.055\", \"bbox\": [438, 169, 458, 179]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2877683_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
ChromosomeJonathanGolden DeliciousConsensus
/linkage groupNo. of makersLength(cM)No. of makersLength(cM)No. of makersLength(cM)
170[EMPTY_CELL]9775.415986.5
2156[EMPTY_CELL]9641.518988.1
3129[EMPTY_CELL]17799.2242103.8
4145[EMPTY_CELL]6678.318085.4
5186[EMPTY_CELL]116121.7276121.3
6178[EMPTY_CELL]20643.933459.6
7152[EMPTY_CELL]9581.124092.1
863[EMPTY_CELL]19196.223496.6
9129[EMPTY_CELL]14193.3220102.9
10123[EMPTY_CELL]88111.9198109.0
1150[EMPTY_CELL]105127.2139130.3
1293[EMPTY_CELL]12786.119098.6
1373[EMPTY_CELL]12198.017498.2
1466[EMPTY_CELL]86100.514597.8
15123[EMPTY_CELL]72116.0166129.3
16219[EMPTY_CELL]7748.423452.4
1762[EMPTY_CELL]7197.212198.2
Total2017[EMPTY_CELL]19321516.034411650.2
Density (cM / maker)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.78[EMPTY_CELL]0.48
\", \"cells\": [{\"cell\": \"Chromosome\", \"bbox\": [1, 4, 46, 13]}, {\"cell\": \"Jonathan\", \"bbox\": [96, 4, 128, 13]}, {\"cell\": \"Golden Delicious\", \"bbox\": [235, 4, 291, 13]}, {\"cell\": \"Consensus\", \"bbox\": [373, 4, 409, 13]}, {\"cell\": \"/linkage group\", \"bbox\": [1, 17, 50, 27]}, {\"cell\": \"No. of makers\", \"bbox\": [96, 17, 143, 27]}, {\"cell\": \"Length(cM)\", \"bbox\": [169, 17, 208, 27]}, {\"cell\": \"No. of makers\", \"bbox\": [235, 17, 281, 27]}, {\"cell\": \"Length(cM)\", \"bbox\": [308, 17, 346, 27]}, {\"cell\": \"No. of makers\", \"bbox\": [373, 17, 419, 27]}, {\"cell\": \"Length(cM)\", \"bbox\": [446, 17, 484, 27]}, {\"cell\": \"1\", \"bbox\": [1, 30, 6, 40]}, {\"cell\": \"70\", \"bbox\": [96, 30, 106, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [169, 30, 184, 40]}, {\"cell\": \"97\", \"bbox\": [235, 30, 244, 40]}, {\"cell\": \"75.4\", \"bbox\": [308, 30, 322, 40]}, {\"cell\": \"159\", \"bbox\": [373, 30, 386, 40]}, {\"cell\": \"86.5\", \"bbox\": [446, 30, 461, 40]}, {\"cell\": \"2\", \"bbox\": [1, 44, 6, 54]}, {\"cell\": \"156\", \"bbox\": [96, 44, 110, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [169, 44, 184, 54]}, {\"cell\": \"96\", \"bbox\": [235, 44, 244, 54]}, {\"cell\": \"41.5\", \"bbox\": [308, 44, 322, 54]}, {\"cell\": \"189\", \"bbox\": [373, 44, 386, 54]}, {\"cell\": \"88.1\", \"bbox\": [446, 44, 461, 54]}, {\"cell\": \"3\", \"bbox\": [1, 58, 6, 68]}, {\"cell\": \"129\", \"bbox\": [96, 58, 110, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [169, 58, 184, 68]}, {\"cell\": \"177\", \"bbox\": [235, 58, 248, 68]}, {\"cell\": \"99.2\", \"bbox\": [308, 58, 322, 68]}, {\"cell\": \"242\", \"bbox\": [373, 58, 386, 68]}, {\"cell\": \"103.8\", \"bbox\": [446, 58, 465, 68]}, {\"cell\": \"4\", \"bbox\": [1, 72, 6, 82]}, {\"cell\": \"145\", \"bbox\": [96, 72, 110, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [169, 72, 184, 82]}, {\"cell\": \"66\", \"bbox\": [235, 72, 244, 82]}, {\"cell\": \"78.3\", \"bbox\": [308, 72, 322, 82]}, {\"cell\": \"180\", \"bbox\": [373, 72, 386, 82]}, {\"cell\": \"85.4\", \"bbox\": [446, 72, 461, 82]}, {\"cell\": \"5\", \"bbox\": [1, 86, 6, 96]}, {\"cell\": \"186\", \"bbox\": [96, 86, 110, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [169, 86, 184, 96]}, {\"cell\": \"116\", \"bbox\": [235, 86, 248, 96]}, {\"cell\": \"121.7\", \"bbox\": [308, 86, 326, 96]}, {\"cell\": \"276\", \"bbox\": [373, 86, 386, 96]}, {\"cell\": \"121.3\", \"bbox\": [446, 86, 465, 96]}, {\"cell\": \"6\", \"bbox\": [1, 100, 6, 110]}, {\"cell\": \"178\", \"bbox\": [96, 100, 110, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [169, 100, 184, 110]}, {\"cell\": \"206\", \"bbox\": [235, 100, 248, 110]}, {\"cell\": \"43.9\", \"bbox\": [308, 100, 322, 110]}, {\"cell\": \"334\", \"bbox\": [373, 100, 386, 110]}, {\"cell\": \"59.6\", \"bbox\": [446, 100, 461, 110]}, {\"cell\": \"7\", \"bbox\": [1, 114, 6, 124]}, {\"cell\": \"152\", \"bbox\": [96, 114, 110, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [169, 114, 184, 124]}, {\"cell\": \"95\", \"bbox\": [235, 114, 244, 124]}, {\"cell\": \"81.1\", \"bbox\": [308, 114, 322, 124]}, {\"cell\": \"240\", \"bbox\": [373, 114, 386, 124]}, {\"cell\": \"92.1\", \"bbox\": [446, 114, 461, 124]}, {\"cell\": \"8\", \"bbox\": [1, 128, 6, 138]}, {\"cell\": \"63\", \"bbox\": [96, 128, 106, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [169, 128, 184, 138]}, {\"cell\": \"191\", \"bbox\": [235, 128, 248, 138]}, {\"cell\": \"96.2\", \"bbox\": [308, 128, 322, 138]}, {\"cell\": \"234\", \"bbox\": [373, 128, 386, 138]}, {\"cell\": \"96.6\", \"bbox\": [446, 128, 461, 138]}, {\"cell\": \"9\", \"bbox\": [1, 142, 6, 152]}, {\"cell\": \"129\", \"bbox\": [96, 142, 110, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [169, 142, 184, 152]}, {\"cell\": \"141\", \"bbox\": [235, 142, 248, 152]}, {\"cell\": \"93.3\", \"bbox\": [308, 142, 322, 152]}, {\"cell\": \"220\", \"bbox\": [373, 142, 386, 152]}, {\"cell\": \"102.9\", \"bbox\": [446, 142, 465, 152]}, {\"cell\": \"10\", \"bbox\": [1, 156, 10, 166]}, {\"cell\": \"123\", \"bbox\": [96, 156, 110, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [169, 156, 184, 166]}, {\"cell\": \"88\", \"bbox\": [235, 156, 244, 166]}, {\"cell\": \"111.9\", \"bbox\": [308, 156, 326, 166]}, {\"cell\": \"198\", \"bbox\": [373, 156, 386, 166]}, {\"cell\": \"109.0\", \"bbox\": [446, 156, 465, 166]}, {\"cell\": \"11\", \"bbox\": [1, 170, 10, 180]}, {\"cell\": \"50\", \"bbox\": [96, 170, 106, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [169, 170, 184, 180]}, {\"cell\": \"105\", \"bbox\": [235, 170, 248, 180]}, {\"cell\": \"127.2\", \"bbox\": [308, 170, 326, 180]}, {\"cell\": \"139\", \"bbox\": [373, 170, 386, 180]}, {\"cell\": \"130.3\", \"bbox\": [446, 170, 465, 180]}, {\"cell\": \"12\", \"bbox\": [1, 184, 10, 194]}, {\"cell\": \"93\", \"bbox\": [96, 184, 106, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [169, 184, 184, 194]}, {\"cell\": \"127\", \"bbox\": [235, 184, 248, 194]}, {\"cell\": \"86.1\", \"bbox\": [308, 184, 322, 194]}, {\"cell\": \"190\", \"bbox\": [373, 184, 386, 194]}, {\"cell\": \"98.6\", \"bbox\": [446, 184, 461, 194]}, {\"cell\": \"13\", \"bbox\": [1, 198, 10, 208]}, {\"cell\": \"73\", \"bbox\": [96, 198, 106, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [169, 198, 184, 208]}, {\"cell\": \"121\", \"bbox\": [235, 198, 248, 208]}, {\"cell\": \"98.0\", \"bbox\": [308, 198, 322, 208]}, {\"cell\": \"174\", \"bbox\": [373, 198, 386, 208]}, {\"cell\": \"98.2\", \"bbox\": [446, 198, 461, 208]}, {\"cell\": \"14\", \"bbox\": [1, 212, 10, 222]}, {\"cell\": \"66\", \"bbox\": [96, 212, 106, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [169, 212, 184, 222]}, {\"cell\": \"86\", \"bbox\": [235, 212, 244, 222]}, {\"cell\": \"100.5\", \"bbox\": [308, 212, 326, 222]}, {\"cell\": \"145\", \"bbox\": [373, 212, 386, 222]}, {\"cell\": \"97.8\", \"bbox\": [446, 212, 461, 222]}, {\"cell\": \"15\", \"bbox\": [1, 226, 10, 236]}, {\"cell\": \"123\", \"bbox\": [96, 226, 110, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [169, 226, 184, 236]}, {\"cell\": \"72\", \"bbox\": [235, 226, 244, 236]}, {\"cell\": \"116.0\", \"bbox\": [308, 226, 326, 236]}, {\"cell\": \"166\", \"bbox\": [373, 226, 386, 236]}, {\"cell\": \"129.3\", \"bbox\": [446, 226, 465, 236]}, {\"cell\": \"16\", \"bbox\": [1, 240, 10, 250]}, {\"cell\": \"219\", \"bbox\": [96, 240, 110, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [169, 240, 188, 250]}, {\"cell\": \"77\", \"bbox\": [235, 240, 244, 250]}, {\"cell\": \"48.4\", \"bbox\": [308, 240, 322, 250]}, {\"cell\": \"234\", \"bbox\": [373, 240, 386, 250]}, {\"cell\": \"52.4\", \"bbox\": [446, 240, 461, 250]}, {\"cell\": \"17\", \"bbox\": [1, 254, 10, 264]}, {\"cell\": \"62\", \"bbox\": [96, 254, 106, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [169, 254, 184, 264]}, {\"cell\": \"71\", \"bbox\": [235, 254, 244, 264]}, {\"cell\": \"97.2\", \"bbox\": [308, 254, 322, 264]}, {\"cell\": \"121\", \"bbox\": [373, 254, 386, 264]}, {\"cell\": \"98.2\", \"bbox\": [446, 254, 461, 264]}, {\"cell\": \"Total\", \"bbox\": [1, 268, 18, 278]}, {\"cell\": \"2017\", \"bbox\": [96, 268, 114, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [169, 268, 192, 278]}, {\"cell\": \"1932\", \"bbox\": [235, 268, 252, 278]}, {\"cell\": \"1516.0\", \"bbox\": [308, 268, 330, 278]}, {\"cell\": \"3441\", \"bbox\": [373, 268, 390, 278]}, {\"cell\": \"1650.2\", \"bbox\": [446, 268, 468, 278]}, {\"cell\": \"Density (cM / maker)\", \"bbox\": [1, 282, 69, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [169, 282, 184, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.78\", \"bbox\": [308, 282, 322, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.48\", \"bbox\": [446, 282, 461, 292]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4595315_005_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Study characteristicExploratory trialExplanatory trialPragmatic trial
Aim of evaluationTo explore the impact of the intervention[EMPTY_CELL]To assess whether the intervention is effective
Patient populationInitially those presumed to be most likely to benefit, though later modification is allowed[EMPTY_CELL]Broad inclusion criteria reflecting variations in clinical practice between centres
Surgical settingSurgeon(s) with substantial generic surgical expertise[EMPTY_CELL]Surgeons from multiple centres representing different levels of expertise
Intervention definitionFreedom to develop and refine[EMPTY_CELL]Broader definition incorporating variations which reflect clinical practice
Outcomes of main focusSurgical process and short-term clinical outcomes[EMPTY_CELL]Longer-term clinical and patient-reported outcomes (such as quality of life measures)
\", \"cells\": [{\"cell\": \"Study characteristic\", \"bbox\": [4, 4, 72, 14]}, {\"cell\": \"Exploratory trial\", \"bbox\": [95, 4, 152, 14]}, {\"cell\": \"Explanatory trial\", \"bbox\": [233, 4, 290, 14]}, {\"cell\": \"Pragmatic trial\", \"bbox\": [366, 4, 416, 14]}, {\"cell\": \"Aim of evaluation\", \"bbox\": [4, 27, 65, 36]}, {\"cell\": \"To explore the impact of the intervention\", \"bbox\": [95, 27, 194, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 27, 359, 46]}, {\"cell\": \"To assess whether the intervention is effective\", \"bbox\": [367, 27, 494, 46]}, {\"cell\": \"Patient population\", \"bbox\": [4, 46, 67, 56]}, {\"cell\": \"Initially those presumed to be most likely to benefit, though later modification is allowed\", \"bbox\": [95, 46, 215, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 46, 357, 74]}, {\"cell\": \"Broad inclusion criteria reflecting variations in clinical practice between centres\", \"bbox\": [367, 46, 493, 74]}, {\"cell\": \"Surgical setting\", \"bbox\": [4, 75, 56, 85]}, {\"cell\": \"Surgeon(s) with substantial generic surgical expertise\", \"bbox\": [95, 75, 213, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 75, 343, 94]}, {\"cell\": \"Surgeons from multiple centres representing different levels of expertise\", \"bbox\": [367, 75, 474, 103]}, {\"cell\": \"Intervention definition\", \"bbox\": [4, 104, 81, 113]}, {\"cell\": \"Freedom to develop and refine\", \"bbox\": [95, 104, 200, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 104, 325, 123]}, {\"cell\": \"Broader definition incorporating variations which reflect clinical practice\", \"bbox\": [367, 104, 477, 132]}, {\"cell\": \"Outcomes of main focus\", \"bbox\": [4, 132, 89, 142]}, {\"cell\": \"Surgical process and short-term clinical outcomes\", \"bbox\": [94, 132, 226, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 132, 351, 151]}, {\"cell\": \"Longer-term clinical and patient-reported outcomes (such as quality of life measures)\", \"bbox\": [367, 132, 477, 161]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2654883_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Overall survival
[EMPTY_CELL]Hazard ratioP
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]0.54 (0.26-1.11)0.095
[EMPTY_CELL]0.53 (0.25-1.09)0.08
[EMPTY_CELL]0.91 (0.43-1.9)0.8
[EMPTY_CELL]1[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]0.15 (0.08-0.28)<0.001
[EMPTY_CELL]0.35 (0.2-0.62)<0.001
[EMPTY_CELL]0.69 (0.41-1.15)0.16
[EMPTY_CELL]1[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]1.25 (0.95-1.65)0.1
[EMPTY_CELL]1.02 (0.76-1.36)0.86
[EMPTY_CELL]1[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]1.34 (0.86-1.73)0.78
[EMPTY_CELL]1.52 (1.2-1.81)0.41
[EMPTY_CELL]1[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]2.41 (1.07-2.86)[EMPTY_CELL]
[EMPTY_CELL]1.34 (1.02-2.15)0.009
[EMPTY_CELL]1[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]1.19 (0.93-1.5)0.156
[EMPTY_CELL]1[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]1.07 (0.81-1.43)0.609
[EMPTY_CELL]1[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]1.97 (1.2-3.1)0.003
[EMPTY_CELL]1[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Overall survival\", \"bbox\": [131, 4, 186, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Hazard ratio\", \"bbox\": [131, 17, 176, 27]}, {\"cell\": \"P\", \"bbox\": [213, 17, 219, 25]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 30, 55, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 44, 40, 54]}, {\"cell\": \"0.54 (0.26-1.11)\", \"bbox\": [131, 44, 180, 54]}, {\"cell\": \"0.095\", \"bbox\": [213, 44, 232, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 58, 42, 68]}, {\"cell\": \"0.53 (0.25-1.09)\", \"bbox\": [131, 58, 180, 68]}, {\"cell\": \"0.08\", \"bbox\": [213, 58, 228, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 72, 40, 82]}, {\"cell\": \"0.91 (0.43-1.9)\", \"bbox\": [131, 72, 176, 82]}, {\"cell\": \"0.8\", \"bbox\": [213, 72, 224, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 86, 53, 96]}, {\"cell\": \"1\", \"bbox\": [131, 86, 137, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 100, 46, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 114, 4, 124]}, {\"cell\": \"0.15 (0.08-0.28)\", \"bbox\": [131, 114, 180, 124]}, {\"cell\": \"<0.001\", \"bbox\": [213, 114, 236, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 128, 6, 138]}, {\"cell\": \"0.35 (0.2-0.62)\", \"bbox\": [131, 128, 176, 138]}, {\"cell\": \"<0.001\", \"bbox\": [213, 128, 236, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 142, 7, 152]}, {\"cell\": \"0.69 (0.41-1.15)\", \"bbox\": [131, 142, 180, 152]}, {\"cell\": \"0.16\", \"bbox\": [213, 142, 228, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 156, 8, 166]}, {\"cell\": \"1\", \"bbox\": [131, 156, 137, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 170, 63, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 184, 35, 193]}, {\"cell\": \"1.25 (0.95-1.65)\", \"bbox\": [131, 184, 180, 193]}, {\"cell\": \"0.1\", \"bbox\": [213, 184, 224, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 198, 35, 207]}, {\"cell\": \"1.02 (0.76-1.36)\", \"bbox\": [131, 198, 180, 207]}, {\"cell\": \"0.86\", \"bbox\": [213, 198, 228, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 212, 35, 222]}, {\"cell\": \"1\", \"bbox\": [131, 212, 137, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 226, 73, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 240, 24, 250]}, {\"cell\": \"1.34 (0.86-1.73)\", \"bbox\": [131, 240, 180, 250]}, {\"cell\": \"0.78\", \"bbox\": [213, 240, 228, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 254, 47, 264]}, {\"cell\": \"1.52 (1.2-1.81)\", \"bbox\": [131, 254, 176, 264]}, {\"cell\": \"0.41\", \"bbox\": [213, 254, 228, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 268, 31, 278]}, {\"cell\": \"1\", \"bbox\": [131, 268, 137, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 282, 83, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 296, 15, 306]}, {\"cell\": \"2.41 (1.07-2.86)\", \"bbox\": [131, 296, 180, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 310, 20, 320]}, {\"cell\": \"1.34 (1.02-2.15)\", \"bbox\": [131, 310, 180, 320]}, {\"cell\": \"0.009\", \"bbox\": [213, 310, 232, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 324, 15, 334]}, {\"cell\": \"1\", \"bbox\": [131, 324, 137, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 338, 98, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 352, 13, 362]}, {\"cell\": \"1.19 (0.93-1.5)\", \"bbox\": [131, 352, 176, 362]}, {\"cell\": \"0.156\", \"bbox\": [213, 352, 232, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 366, 12, 376]}, {\"cell\": \"1\", \"bbox\": [131, 366, 137, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 380, 83, 390]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 394, 13, 404]}, {\"cell\": \"1.07 (0.81-1.43)\", \"bbox\": [131, 394, 180, 404]}, {\"cell\": \"0.609\", \"bbox\": [213, 394, 232, 404]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 408, 12, 418]}, {\"cell\": \"1\", \"bbox\": [131, 408, 137, 418]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 422, 50, 432]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 436, 21, 445]}, {\"cell\": \"1.97 (1.2-3.1)\", \"bbox\": [131, 436, 173, 445]}, {\"cell\": \"0.003\", \"bbox\": [213, 436, 232, 445]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 450, 10, 459]}, {\"cell\": \"1\", \"bbox\": [131, 450, 137, 459]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4114092_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Model 1Model 2
VariablesOdds ratio95% CIP valueVariablesOdds ratio95% CIP value
Fluid intake level 1 (≤29)ReferenceFluid balance level 1 (–19 ~ 0)Reference
Level 2 (30 ~ 59)0.730.56–0.960.024[EMPTY_CELL]0.880.69–1.110.286
Level 3 (60 ~ 89)0.610.43–0.850.004[EMPTY_CELL]0.790. 65–1.110.181
Level 4 (>90)0.470.30–0.740.001[EMPTY_CELL]0.560. 33–0.950.034
Diuretics1.361.09–1.680.005[EMPTY_CELL]1.501.21–1.86<0.001
Blood products1.511.19–1.910.001[EMPTY_CELL]1.361.08–1.720.009
Weight0.980.98–0.99<0.001[EMPTY_CELL]0.990.98–0.99<0.001
Maximum WBC1.031.02–1.05<0.001[EMPTY_CELL]1.031.01–1.04<.0001
Maximum SOFA score1.111.08–1.14<0.001[EMPTY_CELL]1.111.07–1.13<0.001
Maximum serum creatinine1.151.08–1.22<0.001[EMPTY_CELL]1.181.11–1.26<0.001
MICU1.741.35–2.24<0.001[EMPTY_CELL]1.891.48–2.42<0.001
CCU2.111.61–2.77<0.001[EMPTY_CELL]2.291.75–2.99<0.001
\", \"cells\": [{\"cell\": \"Model 1\", \"bbox\": [1, 4, 29, 13]}, {\"cell\": \"Model 2\", \"bbox\": [245, 4, 274, 13]}, {\"cell\": \"Variables\", \"bbox\": [1, 17, 30, 26]}, {\"cell\": \"Odds ratio\", \"bbox\": [106, 17, 141, 26]}, {\"cell\": \"95% CI\", \"bbox\": [157, 17, 181, 26]}, {\"cell\": \"P value\", \"bbox\": [204, 17, 229, 26]}, {\"cell\": \"Variables\", \"bbox\": [245, 17, 275, 26]}, {\"cell\": \"Odds ratio\", \"bbox\": [359, 17, 394, 26]}, {\"cell\": \"95% CI\", \"bbox\": [410, 17, 434, 26]}, {\"cell\": \"P value\", \"bbox\": [459, 17, 484, 26]}, {\"cell\": \"Fluid intake level 1 (≤29)\", \"bbox\": [1, 30, 82, 40]}, {\"cell\": \"Reference\", \"bbox\": [106, 30, 139, 40]}, {\"cell\": \"Fluid balance level 1 (–19 ~ 0)\", \"bbox\": [245, 30, 343, 40]}, {\"cell\": \"Reference\", \"bbox\": [359, 30, 392, 40]}, {\"cell\": \"Level 2 (30 ~ 59)\", \"bbox\": [1, 43, 55, 53]}, {\"cell\": \"0.73\", \"bbox\": [106, 43, 121, 53]}, {\"cell\": \"0.56–0.96\", \"bbox\": [157, 43, 189, 53]}, {\"cell\": \"0.024\", \"bbox\": [204, 43, 223, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [245, 43, 308, 53]}, {\"cell\": \"0.88\", \"bbox\": [359, 43, 373, 53]}, {\"cell\": \"0.69–1.11\", \"bbox\": [410, 43, 441, 53]}, {\"cell\": \"0.286\", \"bbox\": [459, 43, 478, 53]}, {\"cell\": \"Level 3 (60 ~ 89)\", \"bbox\": [1, 57, 55, 67]}, {\"cell\": \"0.61\", \"bbox\": [106, 57, 121, 67]}, {\"cell\": \"0.43–0.85\", \"bbox\": [157, 57, 189, 67]}, {\"cell\": \"0.004\", \"bbox\": [204, 57, 223, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [245, 57, 308, 67]}, {\"cell\": \"0.79\", \"bbox\": [359, 57, 373, 67]}, {\"cell\": \"0. 65–1.11\", \"bbox\": [410, 57, 444, 67]}, {\"cell\": \"0.181\", \"bbox\": [459, 57, 478, 67]}, {\"cell\": \"Level 4 (>90)\", \"bbox\": [1, 71, 44, 81]}, {\"cell\": \"0.47\", \"bbox\": [106, 71, 121, 81]}, {\"cell\": \"0.30–0.74\", \"bbox\": [157, 71, 189, 81]}, {\"cell\": \"0.001\", \"bbox\": [204, 71, 223, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [245, 71, 296, 81]}, {\"cell\": \"0.56\", \"bbox\": [359, 71, 373, 81]}, {\"cell\": \"0. 33–0.95\", \"bbox\": [410, 71, 444, 81]}, {\"cell\": \"0.034\", \"bbox\": [459, 71, 478, 81]}, {\"cell\": \"Diuretics\", \"bbox\": [1, 85, 30, 95]}, {\"cell\": \"1.36\", \"bbox\": [106, 85, 121, 95]}, {\"cell\": \"1.09–1.68\", \"bbox\": [157, 85, 189, 95]}, {\"cell\": \"0.005\", \"bbox\": [204, 85, 223, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [245, 85, 288, 95]}, {\"cell\": \"1.50\", \"bbox\": [359, 85, 373, 95]}, {\"cell\": \"1.21–1.86\", \"bbox\": [410, 85, 441, 95]}, {\"cell\": \"<0.001\", \"bbox\": [459, 85, 483, 95]}, {\"cell\": \"Blood products\", \"bbox\": [1, 99, 52, 109]}, {\"cell\": \"1.51\", \"bbox\": [106, 99, 121, 109]}, {\"cell\": \"1.19–1.91\", \"bbox\": [157, 99, 189, 109]}, {\"cell\": \"0.001\", \"bbox\": [204, 99, 223, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [245, 99, 293, 109]}, {\"cell\": \"1.36\", \"bbox\": [359, 99, 373, 109]}, {\"cell\": \"1.08–1.72\", \"bbox\": [410, 99, 441, 109]}, {\"cell\": \"0.009\", \"bbox\": [459, 99, 478, 109]}, {\"cell\": \"Weight\", \"bbox\": [1, 113, 25, 123]}, {\"cell\": \"0.98\", \"bbox\": [106, 113, 121, 123]}, {\"cell\": \"0.98–0.99\", \"bbox\": [157, 113, 189, 123]}, {\"cell\": \"<0.001\", \"bbox\": [204, 113, 228, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [245, 113, 270, 123]}, {\"cell\": \"0.99\", \"bbox\": [359, 113, 373, 123]}, {\"cell\": \"0.98–0.99\", \"bbox\": [410, 113, 441, 123]}, {\"cell\": \"<0.001\", \"bbox\": [459, 113, 483, 123]}, {\"cell\": \"Maximum WBC\", \"bbox\": [1, 127, 52, 137]}, {\"cell\": \"1.03\", \"bbox\": [106, 127, 121, 137]}, {\"cell\": \"1.02–1.05\", \"bbox\": [157, 127, 189, 137]}, {\"cell\": \"<0.001\", \"bbox\": [204, 127, 228, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [245, 127, 296, 137]}, {\"cell\": \"1.03\", \"bbox\": [359, 127, 373, 137]}, {\"cell\": \"1.01–1.04\", \"bbox\": [410, 127, 441, 137]}, {\"cell\": \"<.0001\", \"bbox\": [459, 127, 483, 137]}, {\"cell\": \"Maximum SOFA score\", \"bbox\": [1, 141, 73, 151]}, {\"cell\": \"1.11\", \"bbox\": [106, 141, 121, 151]}, {\"cell\": \"1.08–1.14\", \"bbox\": [157, 141, 189, 151]}, {\"cell\": \"<0.001\", \"bbox\": [204, 141, 228, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [245, 141, 299, 151]}, {\"cell\": \"1.11\", \"bbox\": [359, 141, 373, 151]}, {\"cell\": \"1.07–1.13\", \"bbox\": [410, 141, 441, 151]}, {\"cell\": \"<0.001\", \"bbox\": [459, 141, 483, 151]}, {\"cell\": \"Maximum serum creatinine\", \"bbox\": [1, 155, 90, 165]}, {\"cell\": \"1.15\", \"bbox\": [106, 155, 121, 165]}, {\"cell\": \"1.08–1.22\", \"bbox\": [157, 155, 189, 165]}, {\"cell\": \"<0.001\", \"bbox\": [204, 155, 228, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [245, 155, 335, 165]}, {\"cell\": \"1.18\", \"bbox\": [359, 155, 373, 165]}, {\"cell\": \"1.11–1.26\", \"bbox\": [410, 155, 441, 165]}, {\"cell\": \"<0.001\", \"bbox\": [459, 155, 483, 165]}, {\"cell\": \"MICU\", \"bbox\": [1, 169, 20, 179]}, {\"cell\": \"1.74\", \"bbox\": [106, 169, 121, 179]}, {\"cell\": \"1.35–2.24\", \"bbox\": [157, 169, 189, 179]}, {\"cell\": \"<0.001\", \"bbox\": [204, 169, 228, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [245, 169, 264, 179]}, {\"cell\": \"1.89\", \"bbox\": [359, 169, 373, 179]}, {\"cell\": \"1.48–2.42\", \"bbox\": [410, 169, 441, 179]}, {\"cell\": \"<0.001\", \"bbox\": [459, 169, 483, 179]}, {\"cell\": \"CCU\", \"bbox\": [1, 183, 17, 193]}, {\"cell\": \"2.11\", \"bbox\": [106, 183, 121, 193]}, {\"cell\": \"1.61–2.77\", \"bbox\": [157, 183, 189, 193]}, {\"cell\": \"<0.001\", \"bbox\": [204, 183, 228, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [245, 183, 261, 193]}, {\"cell\": \"2.29\", \"bbox\": [359, 183, 373, 193]}, {\"cell\": \"1.75–2.99\", \"bbox\": [410, 183, 441, 193]}, {\"cell\": \"<0.001\", \"bbox\": [459, 183, 483, 193]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5427534_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Composite genomeSample(s)Sequence (Mb)Coverage*G+C contentReference
I-plasma†UBA, UBA BS[EMPTY_CELL]20×44This study
E-plasmaUBA, UBA BS[EMPTY_CELL]9×38This study
A-plasmaUBA, UBA BS, UBA filtrate[EMPTY_CELL]8×46This study
G-plasma5-way, UBA[EMPTY_CELL]8×38This study
Leptospirillum group II†UBA[EMPTY_CELL]25×55[55]
Leptospirillum group II‡5-way[EMPTY_CELL]20×55[9]
Leptospirillum group III†UBA[EMPTY_CELL]10×58[56]
Ferroplasma acidarmanus fer1†5-way[EMPTY_CELL]NA37[8]
Ferroplasma fer1(env)5-way[EMPTY_CELL]4.5×36[8]
Ferroplasma fer2(env)5-way[EMPTY_CELL]10×37[10]
ARMAN-2†UBA, UBA BS[EMPTY_CELL]15×47Baker et al., submitted
ARMAN-4UBA filtrate[EMPTY_CELL]8×35Baker et al., submitted
ARMAN-5UBA filtrate[EMPTY_CELL]8×35Baker et al., submitted
Viral genomesUBA, UBA BS[EMPTY_CELL]VariableVariable[12]
\", \"cells\": [{\"cell\": \"Composite genome\", \"bbox\": [0, 13, 78, 23]}, {\"cell\": \"Sample(s)\", \"bbox\": [116, 13, 157, 23]}, {\"cell\": \"Sequence (Mb)\", \"bbox\": [228, 13, 288, 23]}, {\"cell\": \"Coverage*\", \"bbox\": [299, 13, 342, 23]}, {\"cell\": \"G+C content\", \"bbox\": [353, 13, 405, 23]}, {\"cell\": \"Reference\", \"bbox\": [435, 13, 476, 23]}, {\"cell\": \"I-plasma†\", \"bbox\": [0, 30, 33, 40]}, {\"cell\": \"UBA, UBA BS\", \"bbox\": [116, 31, 165, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 31, 266, 40]}, {\"cell\": \"20×\", \"bbox\": [313, 31, 328, 40]}, {\"cell\": \"44\", \"bbox\": [374, 31, 384, 40]}, {\"cell\": \"This study\", \"bbox\": [437, 31, 473, 40]}, {\"cell\": \"E-plasma\", \"bbox\": [0, 43, 32, 53]}, {\"cell\": \"UBA, UBA BS\", \"bbox\": [116, 43, 165, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 43, 266, 53]}, {\"cell\": \"9×\", \"bbox\": [315, 43, 326, 53]}, {\"cell\": \"38\", \"bbox\": [374, 43, 384, 53]}, {\"cell\": \"This study\", \"bbox\": [437, 43, 473, 53]}, {\"cell\": \"A-plasma\", \"bbox\": [0, 55, 33, 65]}, {\"cell\": \"UBA, UBA BS, UBA filtrate\", \"bbox\": [116, 55, 209, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [249, 55, 266, 65]}, {\"cell\": \"8×\", \"bbox\": [315, 55, 326, 65]}, {\"cell\": \"46\", \"bbox\": [374, 55, 384, 65]}, {\"cell\": \"This study\", \"bbox\": [437, 55, 473, 65]}, {\"cell\": \"G-plasma\", \"bbox\": [0, 68, 34, 78]}, {\"cell\": \"5-way, UBA\", \"bbox\": [116, 68, 158, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 68, 266, 78]}, {\"cell\": \"8×\", \"bbox\": [315, 68, 326, 78]}, {\"cell\": \"38\", \"bbox\": [374, 68, 384, 78]}, {\"cell\": \"This study\", \"bbox\": [437, 68, 474, 78]}, {\"cell\": \"Leptospirillum group II†\", \"bbox\": [0, 80, 76, 90]}, {\"cell\": \"UBA\", \"bbox\": [116, 80, 134, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 80, 266, 90]}, {\"cell\": \"25×\", \"bbox\": [313, 80, 328, 90]}, {\"cell\": \"55\", \"bbox\": [374, 80, 384, 90]}, {\"cell\": \"[55]\", \"bbox\": [448, 80, 463, 90]}, {\"cell\": \"Leptospirillum group II‡\", \"bbox\": [0, 93, 76, 103]}, {\"cell\": \"5-way\", \"bbox\": [116, 93, 138, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [249, 93, 266, 103]}, {\"cell\": \"20×\", \"bbox\": [313, 93, 328, 103]}, {\"cell\": \"55\", \"bbox\": [374, 93, 384, 103]}, {\"cell\": \"[9]\", \"bbox\": [450, 93, 461, 103]}, {\"cell\": \"Leptospirillum group III†\", \"bbox\": [0, 105, 78, 115]}, {\"cell\": \"UBA\", \"bbox\": [116, 105, 134, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 105, 266, 115]}, {\"cell\": \"10×\", \"bbox\": [313, 105, 328, 115]}, {\"cell\": \"58\", \"bbox\": [374, 105, 384, 115]}, {\"cell\": \"[56]\", \"bbox\": [448, 105, 463, 115]}, {\"cell\": \"Ferroplasma acidarmanus fer1†\", \"bbox\": [0, 117, 101, 127]}, {\"cell\": \"5-way\", \"bbox\": [116, 118, 138, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [249, 118, 266, 127]}, {\"cell\": \"NA\", \"bbox\": [313, 118, 327, 127]}, {\"cell\": \"37\", \"bbox\": [374, 118, 384, 127]}, {\"cell\": \"[8]\", \"bbox\": [450, 118, 461, 127]}, {\"cell\": \"Ferroplasma fer1(env)\", \"bbox\": [1, 130, 73, 140]}, {\"cell\": \"5-way\", \"bbox\": [116, 130, 138, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [249, 130, 266, 140]}, {\"cell\": \"4.5×\", \"bbox\": [312, 130, 329, 140]}, {\"cell\": \"36\", \"bbox\": [374, 130, 384, 140]}, {\"cell\": \"[8]\", \"bbox\": [450, 130, 461, 140]}, {\"cell\": \"Ferroplasma fer2(env)\", \"bbox\": [1, 143, 73, 152]}, {\"cell\": \"5-way\", \"bbox\": [116, 143, 138, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [249, 143, 266, 152]}, {\"cell\": \"10×\", \"bbox\": [313, 143, 328, 152]}, {\"cell\": \"37\", \"bbox\": [374, 143, 384, 152]}, {\"cell\": \"[10]\", \"bbox\": [448, 143, 463, 152]}, {\"cell\": \"ARMAN-2†\", \"bbox\": [1, 155, 41, 165]}, {\"cell\": \"UBA, UBA BS\", \"bbox\": [116, 155, 165, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 155, 264, 165]}, {\"cell\": \"15×\", \"bbox\": [313, 155, 328, 165]}, {\"cell\": \"47\", \"bbox\": [374, 155, 384, 165]}, {\"cell\": \"Baker et al., submitted\", \"bbox\": [417, 155, 494, 165]}, {\"cell\": \"ARMAN-4\", \"bbox\": [0, 168, 38, 177]}, {\"cell\": \"UBA filtrate\", \"bbox\": [116, 168, 159, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [249, 168, 266, 177]}, {\"cell\": \"8×\", \"bbox\": [315, 168, 326, 177]}, {\"cell\": \"35\", \"bbox\": [374, 168, 384, 177]}, {\"cell\": \"Baker et al., submitted\", \"bbox\": [417, 168, 494, 177]}, {\"cell\": \"ARMAN-5\", \"bbox\": [1, 180, 38, 190]}, {\"cell\": \"UBA filtrate\", \"bbox\": [116, 180, 159, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [249, 180, 266, 190]}, {\"cell\": \"8×\", \"bbox\": [315, 180, 326, 190]}, {\"cell\": \"35\", \"bbox\": [374, 180, 384, 190]}, {\"cell\": \"Baker et al., submitted\", \"bbox\": [417, 180, 494, 190]}, {\"cell\": \"Viral genomes\", \"bbox\": [1, 192, 50, 202]}, {\"cell\": \"UBA, UBA BS\", \"bbox\": [116, 192, 165, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [243, 192, 272, 202]}, {\"cell\": \"Variable\", \"bbox\": [306, 192, 335, 202]}, {\"cell\": \"Variable\", \"bbox\": [364, 192, 393, 202]}, {\"cell\": \"[12]\", \"bbox\": [448, 192, 463, 202]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2745766_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Targeted Molecular PathwayTherapy
[EMPTY_CELL]Omega-3 FTY720 Utrophin upregulation Exon skipping Cell based
[EMPTY_CELL]Corticosteroids NF-κb inhibition TGFβ inhibition Antioxidants
[EMPTY_CELL]AICAR Metformin Exercise Antioxidants
[EMPTY_CELL]Losartan TGFβ inhibition
[EMPTY_CELL]Cell based
\", \"cells\": [{\"cell\": \"Targeted Molecular Pathway\", \"bbox\": [65, 5, 184, 16]}, {\"cell\": \"Therapy\", \"bbox\": [304, 5, 341, 16]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [16, 43, 233, 54]}, {\"cell\": \"Omega-3 FTY720 Utrophin upregulation Exon skipping Cell based\", \"bbox\": [276, 21, 369, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [78, 97, 171, 108]}, {\"cell\": \"Corticosteroids NF-κb inhibition TGFβ inhibition Antioxidants\", \"bbox\": [288, 80, 357, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [60, 145, 190, 156]}, {\"cell\": \"AICAR Metformin Exercise Antioxidants\", \"bbox\": [295, 129, 349, 173]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [90, 183, 159, 194]}, {\"cell\": \"Losartan TGFβ inhibition\", \"bbox\": [289, 178, 355, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [63, 204, 187, 215]}, {\"cell\": \"Cell based\", \"bbox\": [301, 204, 344, 215]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC6024668_014_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariableDefinitionNumberMean/%MinMax
[EMPTY_CELL]Marital Status[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Widowed47814.290.001.00
[EMPTY_CELL]Married or cohabited191457.220.001.00
[EMPTY_CELL]Divorced or separated58520.400.001.00
[EMPTY_CELL]Never married36811.000.001.00
[EMPTY_CELL]Other Covariates[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Sedentary42112.810.001.00
[EMPTY_CELL]Smoking87426.140.001.00
[EMPTY_CELL]Has health care279483.630.001.00
[EMPTY_CELL]At risk of having heart problems125137.430.001.00
[EMPTY_CELL]At risk of having asthma3008.980.001.00
[EMPTY_CELL]At risk of high alcohol consumption892.680.001.00
[EMPTY_CELL]Fruit and vegetable index **33492.701.004.00
[EMPTY_CELL]Living in Depressed county58723.070.001.00
[EMPTY_CELL]Average travel time (minutes) to work *254425.4219.5036.80
\", \"cells\": [{\"cell\": \"Variable\", \"bbox\": [7, 2, 46, 16]}, {\"cell\": \"Definition\", \"bbox\": [85, 2, 130, 16]}, {\"cell\": \"Number\", \"bbox\": [301, 2, 338, 16]}, {\"cell\": \"Mean/%\", \"bbox\": [352, 2, 391, 16]}, {\"cell\": \"Min\", \"bbox\": [418, 2, 438, 16]}, {\"cell\": \"Max\", \"bbox\": [471, 2, 493, 16]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Marital Status\", \"bbox\": [85, 22, 146, 35]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 45, 46, 58]}, {\"cell\": \"Widowed\", \"bbox\": [85, 45, 126, 58]}, {\"cell\": \"478\", \"bbox\": [321, 45, 338, 58]}, {\"cell\": \"14.29\", \"bbox\": [370, 45, 395, 58]}, {\"cell\": \"0.00\", \"bbox\": [418, 45, 438, 58]}, {\"cell\": \"1.00\", \"bbox\": [473, 45, 493, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 68, 37, 82]}, {\"cell\": \"Married or cohabited\", \"bbox\": [85, 68, 172, 82]}, {\"cell\": \"1914\", \"bbox\": [316, 68, 338, 82]}, {\"cell\": \"57.22\", \"bbox\": [370, 68, 395, 82]}, {\"cell\": \"0.00\", \"bbox\": [418, 68, 438, 82]}, {\"cell\": \"1.00\", \"bbox\": [473, 68, 493, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 92, 44, 105]}, {\"cell\": \"Divorced or separated\", \"bbox\": [85, 92, 176, 105]}, {\"cell\": \"585\", \"bbox\": [321, 92, 338, 105]}, {\"cell\": \"20.40\", \"bbox\": [370, 92, 395, 105]}, {\"cell\": \"0.00\", \"bbox\": [418, 92, 438, 105]}, {\"cell\": \"1.00\", \"bbox\": [473, 92, 493, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 115, 49, 128]}, {\"cell\": \"Never married\", \"bbox\": [85, 115, 145, 128]}, {\"cell\": \"368\", \"bbox\": [321, 115, 338, 128]}, {\"cell\": \"11.00\", \"bbox\": [370, 115, 395, 128]}, {\"cell\": \"0.00\", \"bbox\": [418, 115, 438, 128]}, {\"cell\": \"1.00\", \"bbox\": [473, 115, 493, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Other Covariates\", \"bbox\": [85, 138, 161, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 162, 47, 175]}, {\"cell\": \"Sedentary\", \"bbox\": [85, 162, 127, 175]}, {\"cell\": \"421\", \"bbox\": [321, 162, 338, 175]}, {\"cell\": \"12.81\", \"bbox\": [370, 162, 395, 175]}, {\"cell\": \"0.00\", \"bbox\": [418, 162, 438, 175]}, {\"cell\": \"1.00\", \"bbox\": [473, 162, 493, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 186, 55, 199]}, {\"cell\": \"Smoking\", \"bbox\": [85, 186, 123, 199]}, {\"cell\": \"874\", \"bbox\": [321, 186, 338, 199]}, {\"cell\": \"26.14\", \"bbox\": [370, 186, 395, 199]}, {\"cell\": \"0.00\", \"bbox\": [418, 186, 438, 199]}, {\"cell\": \"1.00\", \"bbox\": [473, 186, 493, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 209, 43, 222]}, {\"cell\": \"Has health care\", \"bbox\": [85, 209, 149, 222]}, {\"cell\": \"2794\", \"bbox\": [316, 209, 338, 222]}, {\"cell\": \"83.63\", \"bbox\": [370, 209, 395, 222]}, {\"cell\": \"0.00\", \"bbox\": [418, 209, 438, 222]}, {\"cell\": \"1.00\", \"bbox\": [473, 209, 493, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 232, 49, 246]}, {\"cell\": \"At risk of having heart problems\", \"bbox\": [85, 232, 218, 246]}, {\"cell\": \"1251\", \"bbox\": [316, 232, 338, 246]}, {\"cell\": \"37.43\", \"bbox\": [370, 232, 395, 246]}, {\"cell\": \"0.00\", \"bbox\": [418, 232, 438, 246]}, {\"cell\": \"1.00\", \"bbox\": [473, 232, 493, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 256, 58, 269]}, {\"cell\": \"At risk of having asthma\", \"bbox\": [85, 256, 186, 269]}, {\"cell\": \"300\", \"bbox\": [321, 256, 338, 269]}, {\"cell\": \"8.98\", \"bbox\": [375, 256, 395, 269]}, {\"cell\": \"0.00\", \"bbox\": [418, 256, 438, 269]}, {\"cell\": \"1.00\", \"bbox\": [473, 256, 493, 269]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 279, 49, 292]}, {\"cell\": \"At risk of high alcohol consumption\", \"bbox\": [85, 279, 232, 292]}, {\"cell\": \"89\", \"bbox\": [326, 279, 338, 292]}, {\"cell\": \"2.68\", \"bbox\": [375, 279, 395, 292]}, {\"cell\": \"0.00\", \"bbox\": [418, 279, 438, 292]}, {\"cell\": \"1.00\", \"bbox\": [473, 279, 493, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 303, 52, 316]}, {\"cell\": \"Fruit and vegetable index **\", \"bbox\": [85, 303, 202, 316]}, {\"cell\": \"3349\", \"bbox\": [316, 303, 338, 316]}, {\"cell\": \"2.70\", \"bbox\": [375, 303, 395, 316]}, {\"cell\": \"1.00\", \"bbox\": [418, 303, 438, 316]}, {\"cell\": \"4.00\", \"bbox\": [473, 303, 493, 316]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 326, 45, 339]}, {\"cell\": \"Living in Depressed county\", \"bbox\": [85, 326, 198, 339]}, {\"cell\": \"587\", \"bbox\": [321, 326, 338, 339]}, {\"cell\": \"23.07\", \"bbox\": [370, 326, 395, 339]}, {\"cell\": \"0.00\", \"bbox\": [418, 326, 438, 339]}, {\"cell\": \"1.00\", \"bbox\": [473, 326, 493, 339]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 349, 35, 363]}, {\"cell\": \"Average travel time (minutes) to work *\", \"bbox\": [85, 349, 249, 363]}, {\"cell\": \"2544\", \"bbox\": [316, 349, 338, 363]}, {\"cell\": \"25.42\", \"bbox\": [370, 349, 395, 363]}, {\"cell\": \"19.50\", \"bbox\": [413, 349, 438, 363]}, {\"cell\": \"36.80\", \"bbox\": [468, 349, 493, 363]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2738887_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Vegan diet n = 30Non-vegan diet n = 28P value
Patients, female/male, n28/2[EMPTY_CELL][EMPTY_CELL]
Age in years, mean (CI)49.9 (46.6–53.3)[EMPTY_CELL]0.75
Disease duration in years, mean (CI)5.0 (4.1–6.0)[EMPTY_CELL]0.31
Rheumatoid factor-positive, n (%)25 (83)[EMPTY_CELL][EMPTY_CELL]
Body mass index, kg/m2, mean (CI)24.1 (22.3–25.9)[EMPTY_CELL]0.81
Weight, kg, mean (CI)66.4 (61.7–71,1)[EMPTY_CELL]0.70
DAS28, mean (CI)5.3 (5.0–5.7)[EMPTY_CELL]0.80
HAQ score, mean (CI)1.4 (1.2–1.5)[EMPTY_CELL]0.44
Patients on DMARDs, n (%)26 (87)[EMPTY_CELL][EMPTY_CELL]
Patients on glucocorticoids, n (%)18 (60)[EMPTY_CELL][EMPTY_CELL]
Patients on NSAIDs, n (%)24 (80)[EMPTY_CELL][EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Vegan diet n = 30\", \"bbox\": [230, 9, 293, 19]}, {\"cell\": \"Non-vegan diet n = 28\", \"bbox\": [343, 9, 422, 19]}, {\"cell\": \"P value\", \"bbox\": [462, 9, 489, 19]}, {\"cell\": \"Patients, female/male, n\", \"bbox\": [4, 25, 87, 35]}, {\"cell\": \"28/2\", \"bbox\": [252, 25, 271, 35]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [374, 25, 392, 35]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Age in years, mean (CI)\", \"bbox\": [4, 41, 86, 51]}, {\"cell\": \"49.9 (46.6–53.3)\", \"bbox\": [231, 41, 292, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 41, 413, 51]}, {\"cell\": \"0.75\", \"bbox\": [466, 41, 484, 51]}, {\"cell\": \"Disease duration in years, mean (CI)\", \"bbox\": [4, 56, 129, 66]}, {\"cell\": \"5.0 (4.1–6.0)\", \"bbox\": [238, 56, 285, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [359, 56, 406, 66]}, {\"cell\": \"0.31\", \"bbox\": [466, 56, 484, 66]}, {\"cell\": \"Rheumatoid factor-positive, n (%)\", \"bbox\": [4, 72, 120, 82]}, {\"cell\": \"25 (83)\", \"bbox\": [248, 72, 275, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [369, 72, 397, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Body mass index, kg/m2, mean (CI)\", \"bbox\": [4, 87, 126, 97]}, {\"cell\": \"24.1 (22.3–25.9)\", \"bbox\": [231, 87, 292, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 87, 413, 97]}, {\"cell\": \"0.81\", \"bbox\": [466, 87, 484, 97]}, {\"cell\": \"Weight, kg, mean (CI)\", \"bbox\": [4, 103, 81, 113]}, {\"cell\": \"66.4 (61.7–71,1)\", \"bbox\": [231, 103, 292, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 103, 413, 113]}, {\"cell\": \"0.70\", \"bbox\": [466, 103, 484, 113]}, {\"cell\": \"DAS28, mean (CI)\", \"bbox\": [4, 118, 69, 128]}, {\"cell\": \"5.3 (5.0–5.7)\", \"bbox\": [238, 118, 285, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [359, 118, 406, 128]}, {\"cell\": \"0.80\", \"bbox\": [466, 118, 484, 128]}, {\"cell\": \"HAQ score, mean (CI)\", \"bbox\": [4, 134, 83, 144]}, {\"cell\": \"1.4 (1.2–1.5)\", \"bbox\": [238, 134, 285, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [359, 134, 406, 144]}, {\"cell\": \"0.44\", \"bbox\": [466, 134, 484, 144]}, {\"cell\": \"Patients on DMARDs, n (%)\", \"bbox\": [4, 149, 102, 159]}, {\"cell\": \"26 (87)\", \"bbox\": [248, 149, 275, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [369, 149, 397, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Patients on glucocorticoids, n (%)\", \"bbox\": [4, 165, 122, 175]}, {\"cell\": \"18 (60)\", \"bbox\": [248, 165, 275, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [371, 165, 394, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Patients on NSAIDs, n (%)\", \"bbox\": [4, 180, 97, 190]}, {\"cell\": \"24 (80)\", \"bbox\": [248, 180, 275, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [369, 180, 397, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2453753_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]AllHigh computer use1High mobile phone use1
[EMPTY_CELL]n = 32n = 28n = 20
[EMPTY_CELL]Freq%Freq%Freq%
Gender[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Women165013[EMPTY_CELL]1260
Men165015[EMPTY_CELL]840
Study background[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
IT257825[EMPTY_CELL]1365
Medical doctor or nurse7223[EMPTY_CELL]735
Upper quartile regular exposure in 2004[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Computer2216621[EMPTY_CELL]1050
Mobile phone3144410[EMPTY_CELL]1470
Reported mental symptoms in 20054[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Three symptoms288824[EMPTY_CELL]1785
Two symptoms4124[EMPTY_CELL]315
Psychiatric diagnosis in present study1238[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Mild - moderate depression619[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Anxiety disorder UNS412[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Mixed anxiety and depression13[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Mood syndrome UNS13[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Reported connection between subjective mental symptoms and IT use in 2005103110[EMPTY_CELL]630
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"All\", \"bbox\": [279, 4, 290, 13]}, {\"cell\": \"High computer use1\", \"bbox\": [311, 2, 383, 13]}, {\"cell\": \"High mobile phone use1\", \"bbox\": [394, 2, 481, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"n = 32\", \"bbox\": [272, 16, 297, 25]}, {\"cell\": \"n = 28\", \"bbox\": [335, 16, 359, 25]}, {\"cell\": \"n = 20\", \"bbox\": [425, 16, 450, 25]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Freq\", \"bbox\": [268, 28, 285, 37]}, {\"cell\": \"%\", \"bbox\": [293, 28, 301, 37]}, {\"cell\": \"Freq\", \"bbox\": [320, 28, 337, 37]}, {\"cell\": \"%\", \"bbox\": [365, 28, 374, 37]}, {\"cell\": \"Freq\", \"bbox\": [406, 28, 424, 37]}, {\"cell\": \"%\", \"bbox\": [460, 28, 468, 37]}, {\"cell\": \"Gender\", \"bbox\": [0, 41, 26, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Women\", \"bbox\": [15, 53, 42, 63]}, {\"cell\": \"16\", \"bbox\": [271, 53, 281, 63]}, {\"cell\": \"50\", \"bbox\": [292, 53, 302, 63]}, {\"cell\": \"13\", \"bbox\": [323, 53, 333, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [365, 53, 374, 63]}, {\"cell\": \"12\", \"bbox\": [410, 53, 420, 63]}, {\"cell\": \"60\", \"bbox\": [459, 53, 469, 63]}, {\"cell\": \" Men\", \"bbox\": [15, 65, 31, 74]}, {\"cell\": \"16\", \"bbox\": [271, 65, 281, 75]}, {\"cell\": \"50\", \"bbox\": [292, 65, 302, 75]}, {\"cell\": \"15\", \"bbox\": [323, 65, 333, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [365, 65, 374, 75]}, {\"cell\": \"8\", \"bbox\": [412, 65, 418, 75]}, {\"cell\": \"40\", \"bbox\": [459, 65, 469, 75]}, {\"cell\": \"Study background\", \"bbox\": [0, 77, 61, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" IT\", \"bbox\": [15, 89, 23, 98]}, {\"cell\": \"25\", \"bbox\": [271, 89, 281, 98]}, {\"cell\": \"78\", \"bbox\": [292, 89, 302, 98]}, {\"cell\": \"25\", \"bbox\": [323, 89, 333, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [365, 89, 374, 98]}, {\"cell\": \"13\", \"bbox\": [410, 89, 420, 98]}, {\"cell\": \"65\", \"bbox\": [459, 89, 469, 98]}, {\"cell\": \" Medical doctor or nurse\", \"bbox\": [15, 101, 91, 110]}, {\"cell\": \"7\", \"bbox\": [273, 101, 279, 110]}, {\"cell\": \"22\", \"bbox\": [292, 101, 302, 110]}, {\"cell\": \"3\", \"bbox\": [325, 101, 331, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [365, 101, 374, 110]}, {\"cell\": \"7\", \"bbox\": [412, 101, 418, 110]}, {\"cell\": \"35\", \"bbox\": [459, 101, 469, 110]}, {\"cell\": \"Upper quartile regular exposure in 2004\", \"bbox\": [1, 113, 131, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Computer2\", \"bbox\": [15, 123, 50, 134]}, {\"cell\": \"21\", \"bbox\": [271, 125, 281, 134]}, {\"cell\": \"66\", \"bbox\": [292, 125, 302, 134]}, {\"cell\": \"21\", \"bbox\": [323, 125, 333, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [365, 125, 374, 134]}, {\"cell\": \"10\", \"bbox\": [410, 125, 420, 134]}, {\"cell\": \"50\", \"bbox\": [459, 125, 469, 134]}, {\"cell\": \" Mobile phone3\", \"bbox\": [15, 135, 63, 146]}, {\"cell\": \"14\", \"bbox\": [271, 137, 281, 146]}, {\"cell\": \"44\", \"bbox\": [292, 137, 302, 146]}, {\"cell\": \"10\", \"bbox\": [323, 137, 333, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [365, 137, 374, 146]}, {\"cell\": \"14\", \"bbox\": [410, 137, 420, 146]}, {\"cell\": \"70\", \"bbox\": [459, 137, 469, 146]}, {\"cell\": \"Reported mental symptoms in 20054\", \"bbox\": [0, 147, 121, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Three symptoms\", \"bbox\": [15, 161, 68, 170]}, {\"cell\": \"28\", \"bbox\": [271, 161, 281, 170]}, {\"cell\": \"88\", \"bbox\": [292, 161, 302, 170]}, {\"cell\": \"24\", \"bbox\": [323, 161, 333, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [365, 161, 374, 170]}, {\"cell\": \"17\", \"bbox\": [410, 161, 420, 170]}, {\"cell\": \"85\", \"bbox\": [459, 161, 469, 170]}, {\"cell\": \" Two symptoms\", \"bbox\": [15, 173, 65, 182]}, {\"cell\": \"4\", \"bbox\": [273, 173, 279, 182]}, {\"cell\": \"12\", \"bbox\": [292, 173, 302, 182]}, {\"cell\": \"4\", \"bbox\": [325, 173, 331, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [365, 173, 374, 182]}, {\"cell\": \"3\", \"bbox\": [412, 173, 418, 182]}, {\"cell\": \"15\", \"bbox\": [459, 173, 469, 182]}, {\"cell\": \"Psychiatric diagnosis in present study\", \"bbox\": [1, 185, 123, 194]}, {\"cell\": \"12\", \"bbox\": [271, 185, 281, 194]}, {\"cell\": \"38\", \"bbox\": [292, 185, 302, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Mild - moderate depression\", \"bbox\": [15, 197, 102, 206]}, {\"cell\": \"6\", \"bbox\": [273, 197, 279, 206]}, {\"cell\": \"19\", \"bbox\": [292, 197, 302, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Anxiety disorder UNS\", \"bbox\": [15, 209, 82, 218]}, {\"cell\": \"4\", \"bbox\": [273, 209, 279, 218]}, {\"cell\": \"12\", \"bbox\": [292, 209, 302, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Mixed anxiety and depression\", \"bbox\": [15, 220, 109, 230]}, {\"cell\": \"1\", \"bbox\": [273, 220, 279, 230]}, {\"cell\": \"3\", \"bbox\": [294, 220, 300, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Mood syndrome UNS\", \"bbox\": [15, 232, 83, 242]}, {\"cell\": \"1\", \"bbox\": [273, 232, 279, 242]}, {\"cell\": \"3\", \"bbox\": [294, 232, 300, 242]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Reported connection between subjective mental symptoms and IT use in 2005\", \"bbox\": [1, 244, 258, 254]}, {\"cell\": \"10\", \"bbox\": [271, 244, 281, 254]}, {\"cell\": \"31\", \"bbox\": [292, 244, 302, 254]}, {\"cell\": \"10\", \"bbox\": [323, 244, 333, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [365, 244, 374, 254]}, {\"cell\": \"6\", \"bbox\": [412, 244, 418, 254]}, {\"cell\": \"30\", \"bbox\": [459, 244, 469, 254]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2836296_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]CYP17A1_WTCYP17A1_V366M
Binding studiesKd (nM)Kd (nM)
[EMPTY_CELL]163 ± 29287 ± 35
[EMPTY_CELL]62 ± 1792 ± 15
[EMPTY_CELL]142 ± 38-
[EMPTY_CELL]85 ± 23-
[EMPTY_CELL]IC50 (μM)IC50 (μM)
[EMPTY_CELL]0.04 ± 0.01-
[EMPTY_CELL]1.7 ± 0.2-
[EMPTY_CELL]0.9 ± 0.151.4 ± 0.2
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CYP17A1_WT\", \"bbox\": [160, 5, 220, 16]}, {\"cell\": \"CYP17A1_V366M\", \"bbox\": [236, 5, 311, 16]}, {\"cell\": \"Binding studies\", \"bbox\": [42, 21, 109, 32]}, {\"cell\": \"Kd (nM)\", \"bbox\": [172, 21, 209, 32]}, {\"cell\": \"Kd (nM)\", \"bbox\": [254, 21, 291, 32]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [40, 36, 111, 48]}, {\"cell\": \"163 ± 29\", \"bbox\": [172, 36, 208, 48]}, {\"cell\": \"287 ± 35\", \"bbox\": [255, 36, 291, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [40, 47, 110, 59]}, {\"cell\": \"62 ± 17\", \"bbox\": [174, 47, 206, 59]}, {\"cell\": \"92 ± 15\", \"bbox\": [257, 47, 289, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [27, 58, 123, 70]}, {\"cell\": \"142 ± 38\", \"bbox\": [172, 58, 208, 70]}, {\"cell\": \"-\", \"bbox\": [270, 58, 275, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [28, 69, 122, 81]}, {\"cell\": \"85 ± 23\", \"bbox\": [174, 69, 206, 81]}, {\"cell\": \"-\", \"bbox\": [270, 69, 275, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [37, 85, 113, 96]}, {\"cell\": \"IC50 (μM)\", \"bbox\": [169, 85, 211, 97]}, {\"cell\": \"IC50 (μM)\", \"bbox\": [252, 85, 294, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 101, 144, 123]}, {\"cell\": \"0.04 ± 0.01\", \"bbox\": [168, 107, 213, 118]}, {\"cell\": \"-\", \"bbox\": [270, 107, 275, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 123, 144, 145]}, {\"cell\": \"1.7 ± 0.2\", \"bbox\": [172, 128, 208, 140]}, {\"cell\": \"-\", \"bbox\": [270, 128, 275, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [18, 145, 132, 167]}, {\"cell\": \"0.9 ± 0.15\", \"bbox\": [170, 150, 211, 161]}, {\"cell\": \"1.4 ± 0.2\", \"bbox\": [255, 150, 291, 161]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC6027421_009_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Target genePrimer sequence (5’-3’)DirectionAmplicon size(bp)PCR cyclic conditionsReferences
lmoO737AGG GCT TCA AGG ACT TAC CCF[EMPTY_CELL]94°C × 5'; (94°C × 30s, 54°C × 75 s, 72°C × 75 s)35; 72°C × 10'[8]
ACG ATT TCT GCT TGC CAT TCR
lmo1118AGG GGT CTT AAA TCC TGG AAF[EMPTY_CELL]Do[8]
CGG CTT GTT CGG CAT ACT TAR
ORF2819AGC AAA ATG CCA AAA CTC GTF[EMPTY_CELL]Do[8]
CAT CAC TAA AGC CTC CCA TTGR
ORF2110AGT GGA CAA TTG ATT GGT GAAF[EMPTY_CELL]Do[8]
CAT CCA TCC CTT ACT TTG GACR
PrsGCT GAA GAG ATT GCG AAA GAA GF[EMPTY_CELL]Do[8]
CAA AGA AAC CTT GGA TTT GCG GR
inlAACG AGT AAC GGG ACA AAT GCF[EMPTY_CELL]94°C × 2'; (94°C × 20s, 55°C × 20s, 72°C × 50s)30; 72°C × 2'[7]
CCC GAC AGT GGT GCT AGA TTR
inlCAAT TCC CAC AGG ACA CAA CCF[EMPTY_CELL]Do[7]
CGG GAA TGC AAT TTT TCA CTAR
inlJTGT AAC CCC GCT TAC ACA GTTF[EMPTY_CELL]Do[7]
AGC GGC TTG GCA GTC TAA TAR
plcACTG CTT GAG CGT TCA TGT CTC ATC CCC CF[EMPTY_CELL]95°C × 2'; (95°C × 15 s, 60°C × 30s, 72°C × 90s)35; 72°C × 10'[60]
CAT GGG TTT CAC TCT CCT TCT ACR
prfACTG TTG GAG CTC TTC TTG GTG AAG CAA TCGF[EMPTY_CELL]Do[60]
AGC AAC CTC GGT ACC ATA TAC TAA CTCR
actACGC CGC GGA AAT TAA AAA AAG AF[EMPTY_CELL]Do[61]
ACG AAG GAA CCG GGC TGC TAGR
hlyAGCA GTT GCA AGC GCT TGG AGT GAAF[EMPTY_CELL]Do[62]
GCA ACG TAT CCT CCA GAG TGA TCGR
IapACA AGC TGC ACC TGT TGC AGF[EMPTY_CELL]Do[63]
TGA CAG CGT GTG TAG TAG CAR
REP1R-IIIIICGICGICATCIGGCF[EMPTY_CELL]95°C × 7'; (95°C × 1', 44°C × 1', 65°C × 8')30; 65°C × 10'[52]
REP2-IICGICTTATCIGGCCTACR
ERIC1RATGTAAGCTCCTGGGGATTCACF[EMPTY_CELL]95°C × 7'; (95°C × 1', 52°C × 1', 65°C × 8')30; 65°C × 10'[64]
ERIC2AAGTAAGTGACTGGGGTGAGCGR
\", \"cells\": [{\"cell\": \"Target gene\", \"bbox\": [1, 4, 44, 13]}, {\"cell\": \"Primer sequence (5’-3’)\", \"bbox\": [51, 4, 133, 13]}, {\"cell\": \"Direction\", \"bbox\": [213, 4, 246, 13]}, {\"cell\": \"Amplicon size(bp)\", \"bbox\": [253, 4, 318, 13]}, {\"cell\": \"PCR cyclic conditions\", \"bbox\": [325, 4, 400, 13]}, {\"cell\": \"References\", \"bbox\": [445, 4, 484, 13]}, {\"cell\": \"lmoO737\", \"bbox\": [1, 17, 30, 27]}, {\"cell\": \"AGG GCT TCA AGG ACT TAC CC\", \"bbox\": [51, 17, 157, 26]}, {\"cell\": \"F\", \"bbox\": [213, 17, 218, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [253, 17, 267, 26]}, {\"cell\": \"94°C × 5'; (94°C × 30s, 54°C × 75 s, 72°C × 75 s)35; 72°C × 10'\", \"bbox\": [325, 17, 438, 36]}, {\"cell\": \"[8]\", \"bbox\": [445, 17, 455, 26]}, {\"cell\": \"ACG ATT TCT GCT TGC CAT TC\", \"bbox\": [51, 31, 153, 40]}, {\"cell\": \"R\", \"bbox\": [213, 31, 219, 40]}, {\"cell\": \"lmo1118\", \"bbox\": [1, 45, 29, 55]}, {\"cell\": \"AGG GGT CTT AAA TCC TGG AA\", \"bbox\": [51, 45, 157, 54]}, {\"cell\": \"F\", \"bbox\": [213, 45, 218, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [253, 45, 267, 54]}, {\"cell\": \"Do\", \"bbox\": [325, 45, 336, 54]}, {\"cell\": \"[8]\", \"bbox\": [445, 45, 455, 54]}, {\"cell\": \"CGG CTT GTT CGG CAT ACT TA\", \"bbox\": [51, 59, 154, 68]}, {\"cell\": \"R\", \"bbox\": [213, 59, 219, 68]}, {\"cell\": \"ORF2819\", \"bbox\": [1, 73, 31, 82]}, {\"cell\": \"AGC AAA ATG CCA AAA CTC GT\", \"bbox\": [51, 73, 158, 82]}, {\"cell\": \"F\", \"bbox\": [213, 73, 218, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [253, 73, 267, 82]}, {\"cell\": \"Do\", \"bbox\": [325, 73, 336, 82]}, {\"cell\": \"[8]\", \"bbox\": [445, 73, 455, 82]}, {\"cell\": \"CAT CAC TAA AGC CTC CCA TTG\", \"bbox\": [51, 87, 160, 96]}, {\"cell\": \"R\", \"bbox\": [213, 87, 219, 96]}, {\"cell\": \"ORF2110\", \"bbox\": [1, 101, 31, 110]}, {\"cell\": \"AGT GGA CAA TTG ATT GGT GAA\", \"bbox\": [51, 101, 161, 110]}, {\"cell\": \"F\", \"bbox\": [213, 101, 218, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [253, 101, 267, 110]}, {\"cell\": \"Do\", \"bbox\": [325, 101, 336, 110]}, {\"cell\": \"[8]\", \"bbox\": [445, 101, 455, 110]}, {\"cell\": \"CAT CCA TCC CTT ACT TTG GAC\", \"bbox\": [51, 115, 158, 124]}, {\"cell\": \"R\", \"bbox\": [213, 115, 219, 124]}, {\"cell\": \"Prs\", \"bbox\": [1, 129, 11, 139]}, {\"cell\": \"GCT GAA GAG ATT GCG AAA GAA G\", \"bbox\": [51, 129, 171, 138]}, {\"cell\": \"F\", \"bbox\": [213, 129, 218, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [253, 129, 267, 138]}, {\"cell\": \"Do\", \"bbox\": [325, 129, 336, 138]}, {\"cell\": \"[8]\", \"bbox\": [445, 129, 455, 138]}, {\"cell\": \"CAA AGA AAC CTT GGA TTT GCG G\", \"bbox\": [51, 143, 168, 152]}, {\"cell\": \"R\", \"bbox\": [213, 143, 219, 152]}, {\"cell\": \"inlA\", \"bbox\": [1, 157, 14, 167]}, {\"cell\": \"ACG AGT AAC GGG ACA AAT GC\", \"bbox\": [51, 157, 160, 166]}, {\"cell\": \"F\", \"bbox\": [213, 157, 218, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [253, 157, 267, 166]}, {\"cell\": \"94°C × 2'; (94°C × 20s, 55°C × 20s, 72°C × 50s)30; 72°C × 2'\", \"bbox\": [325, 157, 436, 176]}, {\"cell\": \"[7]\", \"bbox\": [445, 157, 455, 166]}, {\"cell\": \"CCC GAC AGT GGT GCT AGA TT\", \"bbox\": [51, 171, 157, 180]}, {\"cell\": \"R\", \"bbox\": [213, 171, 219, 180]}, {\"cell\": \"inlC\", \"bbox\": [1, 185, 14, 195]}, {\"cell\": \"AAT TCC CAC AGG ACA CAA CC\", \"bbox\": [51, 185, 158, 194]}, {\"cell\": \"F\", \"bbox\": [213, 185, 218, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [253, 185, 267, 194]}, {\"cell\": \"Do\", \"bbox\": [325, 185, 336, 194]}, {\"cell\": \"[7]\", \"bbox\": [445, 185, 455, 194]}, {\"cell\": \"CGG GAA TGC AAT TTT TCA CTA\", \"bbox\": [51, 199, 159, 208]}, {\"cell\": \"R\", \"bbox\": [213, 199, 219, 208]}, {\"cell\": \"inlJ\", \"bbox\": [1, 213, 12, 223]}, {\"cell\": \"TGT AAC CCC GCT TAC ACA GTT\", \"bbox\": [51, 213, 159, 222]}, {\"cell\": \"F\", \"bbox\": [213, 213, 218, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [253, 213, 267, 222]}, {\"cell\": \"Do\", \"bbox\": [325, 213, 336, 222]}, {\"cell\": \"[7]\", \"bbox\": [445, 213, 455, 222]}, {\"cell\": \"AGC GGC TTG GCA GTC TAA TA\", \"bbox\": [51, 227, 157, 236]}, {\"cell\": \"R\", \"bbox\": [213, 227, 219, 236]}, {\"cell\": \"plcA\", \"bbox\": [1, 241, 16, 251]}, {\"cell\": \"CTG CTT GAG CGT TCA TGT CTC ATC CCC C\", \"bbox\": [51, 241, 196, 250]}, {\"cell\": \"F\", \"bbox\": [213, 241, 218, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [253, 241, 271, 250]}, {\"cell\": \"95°C × 2'; (95°C × 15 s, 60°C × 30s, 72°C × 90s)35; 72°C × 10'\", \"bbox\": [325, 241, 438, 260]}, {\"cell\": \"[60]\", \"bbox\": [445, 241, 459, 250]}, {\"cell\": \"CAT GGG TTT CAC TCT CCT TCT AC\", \"bbox\": [51, 255, 168, 264]}, {\"cell\": \"R\", \"bbox\": [213, 255, 219, 264]}, {\"cell\": \"prfA\", \"bbox\": [1, 269, 15, 279]}, {\"cell\": \"CTG TTG GAG CTC TTC TTG GTG AAG CAA TCG\", \"bbox\": [51, 269, 206, 278]}, {\"cell\": \"F\", \"bbox\": [213, 269, 218, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [253, 269, 271, 278]}, {\"cell\": \"Do\", \"bbox\": [325, 269, 336, 278]}, {\"cell\": \"[60]\", \"bbox\": [445, 269, 459, 278]}, {\"cell\": \"AGC AAC CTC GGT ACC ATA TAC TAA CTC\", \"bbox\": [51, 283, 192, 292]}, {\"cell\": \"R\", \"bbox\": [213, 283, 219, 292]}, {\"cell\": \"actA\", \"bbox\": [1, 297, 16, 307]}, {\"cell\": \"CGC CGC GGA AAT TAA AAA AAG A\", \"bbox\": [51, 297, 171, 306]}, {\"cell\": \"F\", \"bbox\": [213, 297, 218, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [253, 297, 267, 306]}, {\"cell\": \"Do\", \"bbox\": [325, 297, 336, 306]}, {\"cell\": \"[61]\", \"bbox\": [445, 297, 459, 306]}, {\"cell\": \"ACG AAG GAA CCG GGC TGC TAG\", \"bbox\": [51, 311, 165, 320]}, {\"cell\": \"R\", \"bbox\": [213, 311, 219, 320]}, {\"cell\": \"hlyA\", \"bbox\": [1, 325, 16, 335]}, {\"cell\": \"GCA GTT GCA AGC GCT TGG AGT GAA\", \"bbox\": [51, 325, 178, 334]}, {\"cell\": \"F\", \"bbox\": [213, 325, 218, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [253, 325, 267, 334]}, {\"cell\": \"Do\", \"bbox\": [325, 325, 336, 334]}, {\"cell\": \"[62]\", \"bbox\": [445, 325, 459, 334]}, {\"cell\": \"GCA ACG TAT CCT CCA GAG TGA TCG\", \"bbox\": [51, 339, 177, 348]}, {\"cell\": \"R\", \"bbox\": [213, 339, 219, 348]}, {\"cell\": \"Iap\", \"bbox\": [1, 353, 12, 363]}, {\"cell\": \"ACA AGC TGC ACC TGT TGC AG\", \"bbox\": [51, 353, 157, 362]}, {\"cell\": \"F\", \"bbox\": [213, 353, 218, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [253, 353, 267, 362]}, {\"cell\": \"Do\", \"bbox\": [325, 353, 336, 362]}, {\"cell\": \"[63]\", \"bbox\": [445, 353, 459, 362]}, {\"cell\": \"TGA CAG CGT GTG TAG TAG CA\", \"bbox\": [51, 367, 157, 376]}, {\"cell\": \"R\", \"bbox\": [213, 367, 219, 376]}, {\"cell\": \"REP1R-I\", \"bbox\": [1, 381, 25, 391]}, {\"cell\": \"IIIICGICGICATCIGGC\", \"bbox\": [51, 381, 115, 390]}, {\"cell\": \"F\", \"bbox\": [213, 381, 218, 390]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [253, 381, 278, 390]}, {\"cell\": \"95°C × 7'; (95°C × 1', 44°C × 1', 65°C × 8')30; 65°C × 10'\", \"bbox\": [325, 381, 424, 400]}, {\"cell\": \"[52]\", \"bbox\": [445, 381, 459, 390]}, {\"cell\": \"REP2-I\", \"bbox\": [1, 395, 21, 405]}, {\"cell\": \"ICGICTTATCIGGCCTAC\", \"bbox\": [51, 395, 124, 404]}, {\"cell\": \"R\", \"bbox\": [213, 395, 219, 404]}, {\"cell\": \"ERIC1R\", \"bbox\": [1, 409, 23, 419]}, {\"cell\": \"ATGTAAGCTCCTGGGGATTCAC\", \"bbox\": [51, 409, 150, 418]}, {\"cell\": \"F\", \"bbox\": [213, 409, 218, 418]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [253, 409, 278, 418]}, {\"cell\": \"95°C × 7'; (95°C × 1', 52°C × 1', 65°C × 8')30; 65°C × 10'\", \"bbox\": [325, 409, 424, 428]}, {\"cell\": \"[64]\", \"bbox\": [445, 409, 459, 418]}, {\"cell\": \"ERIC2\", \"bbox\": [1, 423, 19, 433]}, {\"cell\": \"AAGTAAGTGACTGGGGTGAGCG\", \"bbox\": [51, 423, 154, 432]}, {\"cell\": \"R\", \"bbox\": [213, 423, 219, 432]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4172985_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Patient IDSampleTumor GradeTumor locationGenderAgeApplication
17[EMPTY_CELL]CS ImetacarpalM481,3
17[EMPTY_CELL]CS IphalanxM491,3
20[EMPTY_CELL]CS IIfemurF231,3
21[EMPTY_CELL]CS IfemurM261,3
21[EMPTY_CELL]CS ItibiaM261,3
22[EMPTY_CELL]ECphalanxF261,2,3,4
22[EMPTY_CELL]ECphalanxF161,2,3,4
23[EMPTY_CELL]CS IIhumerusM681,3
25[EMPTY_CELL]ECphalanxM151,2,3,4
25[EMPTY_CELL]ECmetacarpalM141,3,4
26[EMPTY_CELL]CS IIscapulaM481,3
27[EMPTY_CELL]CS IIfemurM311,3
28[EMPTY_CELL]CS IItibiaM411,3
29[EMPTY_CELL]CS ItibiaM411,3
29[EMPTY_CELL]ECfootM381,3
30[EMPTY_CELL]CS IIkneeF631,3
31[EMPTY_CELL]CS IIIunknownM-1,3
33[EMPTY_CELL]CS Ipubic boneF231,3
34[EMPTY_CELL]CS IphalanxM181,3
34[EMPTY_CELL]ECphalanxM181,2,3,4
35[EMPTY_CELL]CS IphalanxF131,3
36[EMPTY_CELL]ECtibiaF121,3
38[EMPTY_CELL]ECunknownM361,3
38[EMPTY_CELL]ECIliac boneM361,2,3,4
42[EMPTY_CELL]CS IIhumerusF151,3
43[EMPTY_CELL]CS IIhumerusF491,3
47[EMPTY_CELL]ECphalanxM391,2,3,4
47[EMPTY_CELL]CS IphalanxM391,3
48[EMPTY_CELL]CS IIItibiaM351,3
48[EMPTY_CELL]ECfemurM351,3
50[EMPTY_CELL]CS IfemurF421,3
52[EMPTY_CELL]CS IfemurF231,3
54[EMPTY_CELL]ECphalanxF121,3
61[EMPTY_CELL]ECiliumM61,3
64[EMPTY_CELL]ECmetacarpalF291,2,3,4
68[EMPTY_CELL]CS IacromionF241,3
69[EMPTY_CELL]CS IpelvisM331,3
\", \"cells\": [{\"cell\": \"Patient ID\", \"bbox\": [1, 4, 26, 22]}, {\"cell\": \"Sample\", \"bbox\": [33, 4, 59, 13]}, {\"cell\": \"Tumor Grade\", \"bbox\": [63, 4, 87, 22]}, {\"cell\": \"Tumor location\", \"bbox\": [103, 4, 132, 22]}, {\"cell\": \"Gender\", \"bbox\": [148, 4, 174, 13]}, {\"cell\": \"Age\", \"bbox\": [178, 4, 193, 13]}, {\"cell\": \"Application\", \"bbox\": [197, 4, 236, 13]}, {\"cell\": \"17\", \"bbox\": [1, 26, 10, 35]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [33, 26, 53, 35]}, {\"cell\": \"CS I\", \"bbox\": [63, 26, 78, 35]}, {\"cell\": \"metacarpal\", \"bbox\": [103, 26, 140, 35]}, {\"cell\": \"M\", \"bbox\": [148, 26, 156, 35]}, {\"cell\": \"48\", \"bbox\": [178, 26, 187, 35]}, {\"cell\": \"1,3\", \"bbox\": [197, 26, 208, 35]}, {\"cell\": \"17\", \"bbox\": [1, 38, 10, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [33, 38, 53, 47]}, {\"cell\": \"CS I\", \"bbox\": [63, 38, 78, 47]}, {\"cell\": \"phalanx\", \"bbox\": [103, 38, 130, 47]}, {\"cell\": \"M\", \"bbox\": [148, 38, 156, 47]}, {\"cell\": \"49\", \"bbox\": [178, 38, 187, 47]}, {\"cell\": \"1,3\", \"bbox\": [197, 38, 208, 47]}, {\"cell\": \"20\", \"bbox\": [1, 50, 10, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [33, 50, 53, 59]}, {\"cell\": \"CS II\", \"bbox\": [63, 50, 79, 59]}, {\"cell\": \"femur\", \"bbox\": [103, 50, 124, 59]}, {\"cell\": \"F\", \"bbox\": [148, 50, 154, 59]}, {\"cell\": \"23\", \"bbox\": [178, 50, 187, 59]}, {\"cell\": \"1,3\", \"bbox\": [197, 50, 208, 59]}, {\"cell\": \"21\", \"bbox\": [1, 62, 10, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [33, 62, 53, 71]}, {\"cell\": \"CS I\", \"bbox\": [63, 62, 78, 71]}, {\"cell\": \"femur\", \"bbox\": [103, 62, 124, 71]}, {\"cell\": \"M\", \"bbox\": [148, 62, 156, 71]}, {\"cell\": \"26\", \"bbox\": [178, 62, 187, 71]}, {\"cell\": \"1,3\", \"bbox\": [197, 62, 208, 71]}, {\"cell\": \"21\", \"bbox\": [1, 74, 10, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [33, 74, 53, 83]}, {\"cell\": \"CS I\", \"bbox\": [63, 74, 78, 83]}, {\"cell\": \"tibia\", \"bbox\": [103, 74, 119, 83]}, {\"cell\": \"M\", \"bbox\": [148, 74, 156, 83]}, {\"cell\": \"26\", \"bbox\": [178, 74, 187, 83]}, {\"cell\": \"1,3\", \"bbox\": [197, 74, 208, 83]}, {\"cell\": \"22\", \"bbox\": [1, 86, 10, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [33, 86, 50, 95]}, {\"cell\": \"EC\", \"bbox\": [63, 86, 73, 95]}, {\"cell\": \"phalanx\", \"bbox\": [103, 86, 130, 95]}, {\"cell\": \"F\", \"bbox\": [148, 86, 154, 95]}, {\"cell\": \"26\", \"bbox\": [178, 86, 187, 95]}, {\"cell\": \"1,2,3,4\", \"bbox\": [197, 86, 218, 95]}, {\"cell\": \"22\", \"bbox\": [1, 98, 10, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [33, 98, 50, 107]}, {\"cell\": \"EC\", \"bbox\": [63, 98, 73, 107]}, {\"cell\": \"phalanx\", \"bbox\": [103, 98, 130, 107]}, {\"cell\": \"F\", \"bbox\": [148, 98, 154, 107]}, {\"cell\": \"16\", \"bbox\": [178, 98, 187, 107]}, {\"cell\": \"1,2,3,4\", \"bbox\": [197, 98, 218, 107]}, {\"cell\": \"23\", \"bbox\": [1, 110, 10, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [33, 110, 50, 119]}, {\"cell\": \"CS II\", \"bbox\": [63, 110, 79, 119]}, {\"cell\": \"humerus\", \"bbox\": [103, 110, 133, 119]}, {\"cell\": \"M\", \"bbox\": [148, 110, 156, 119]}, {\"cell\": \"68\", \"bbox\": [178, 110, 187, 119]}, {\"cell\": \"1,3\", \"bbox\": [197, 110, 208, 119]}, {\"cell\": \"25\", \"bbox\": [1, 122, 10, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [33, 122, 57, 131]}, {\"cell\": \"EC\", \"bbox\": [63, 122, 73, 131]}, {\"cell\": \"phalanx\", \"bbox\": [103, 122, 130, 131]}, {\"cell\": \"M\", \"bbox\": [148, 122, 156, 131]}, {\"cell\": \"15\", \"bbox\": [178, 122, 187, 131]}, {\"cell\": \"1,2,3,4\", \"bbox\": [197, 122, 218, 131]}, {\"cell\": \"25\", \"bbox\": [1, 134, 10, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [33, 134, 57, 143]}, {\"cell\": \"EC\", \"bbox\": [63, 134, 73, 143]}, {\"cell\": \"metacarpal\", \"bbox\": [103, 134, 140, 143]}, {\"cell\": \"M\", \"bbox\": [148, 134, 156, 143]}, {\"cell\": \"14\", \"bbox\": [178, 134, 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184, 430]}, {\"cell\": \"1,3\", \"bbox\": [197, 421, 208, 430]}, {\"cell\": \"64\", \"bbox\": [1, 433, 10, 442]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [33, 433, 53, 442]}, {\"cell\": \"EC\", \"bbox\": [63, 433, 73, 442]}, {\"cell\": \"metacarpal\", \"bbox\": [103, 433, 140, 442]}, {\"cell\": \"F\", \"bbox\": [148, 433, 154, 442]}, {\"cell\": \"29\", \"bbox\": [178, 433, 187, 442]}, {\"cell\": \"1,2,3,4\", \"bbox\": [197, 433, 218, 442]}, {\"cell\": \"68\", \"bbox\": [1, 445, 10, 454]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [33, 445, 57, 454]}, {\"cell\": \"CS I\", \"bbox\": [63, 445, 78, 454]}, {\"cell\": \"acromion\", \"bbox\": [103, 445, 135, 454]}, {\"cell\": \"F\", \"bbox\": [148, 445, 154, 454]}, {\"cell\": \"24\", \"bbox\": [178, 445, 187, 454]}, {\"cell\": \"1,3\", \"bbox\": [197, 445, 208, 454]}, {\"cell\": \"69\", \"bbox\": [1, 457, 10, 466]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [33, 457, 53, 466]}, {\"cell\": \"CS I\", \"bbox\": [63, 457, 78, 466]}, {\"cell\": \"pelvis\", \"bbox\": [103, 457, 123, 466]}, {\"cell\": \"M\", \"bbox\": [148, 457, 156, 466]}, {\"cell\": \"33\", \"bbox\": [178, 457, 187, 466]}, {\"cell\": \"1,3\", \"bbox\": [197, 457, 208, 466]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3027091_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
LC50 for females ten times greaterthan for males
SubstanceClassification probabilitiesMean no. animals
LC50 (females)LC50 (males)SlopeClass 1Class 2Class 3Class 4Class 5TestedDeaths
[EMPTY_CELL]0.034.092.97.10.00.00.03.01.3
[EMPTY_CELL]0.154.03.596.10.40.00.07.20.4
[EMPTY_CELL]0.704.00.057.540.32.00.210.71.3
[EMPTY_CELL]1.004.00.020.478.11.00.57.80.7
[EMPTY_CELL]1.104.00.014.084.01.40.57.70.6
[EMPTY_CELL]2.504.00.00.08.190.90.97.50.4
[EMPTY_CELL]10.004.00.00.00.019.980.17.50.6
[EMPTY_CELL]0.0310.099.70.30.00.00.02.11.0
[EMPTY_CELL]0.1510.00.0100.00.00.00.07.00.0
[EMPTY_CELL]0.7010.00.011.388.70.00.09.20.4
[EMPTY_CELL]1.0010.00.00.199.90.00.07.00.0
[EMPTY_CELL]1.1010.00.00.0100.00.00.07.00.0
[EMPTY_CELL]2.5010.00.00.00.0100.00.07.00.0
[EMPTY_CELL]10.0010.00.00.00.00.199.97.00.0
\", \"cells\": [{\"cell\": \"LC50 for females ten times greaterthan for males\", \"bbox\": [141, 7, 345, 19]}, {\"cell\": \"Substance\", \"bbox\": [64, 26, 106, 37]}, {\"cell\": \"Classification probabilities\", \"bbox\": [232, 26, 339, 37]}, {\"cell\": \"Mean no. animals\", \"bbox\": [409, 26, 481, 37]}, {\"cell\": \"LC50 (females)\", \"bbox\": [1, 45, 61, 58]}, {\"cell\": \"LC50 (males)\", \"bbox\": [75, 45, 129, 58]}, {\"cell\": \"Slope\", \"bbox\": [142, 45, 166, 57]}, {\"cell\": \"Class 1\", \"bbox\": [180, 45, 211, 57]}, {\"cell\": \"Class 2\", \"bbox\": [225, 45, 256, 57]}, {\"cell\": \"Class 3\", \"bbox\": [270, 45, 301, 57]}, {\"cell\": \"Class 4\", \"bbox\": [315, 45, 346, 57]}, {\"cell\": \"Class 5\", \"bbox\": [359, 45, 391, 57]}, {\"cell\": \"Tested\", \"bbox\": [404, 45, 434, 57]}, {\"cell\": \"Deaths\", \"bbox\": [451, 45, 482, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 65, 15, 76]}, {\"cell\": \"0.03\", \"bbox\": [80, 65, 99, 76]}, {\"cell\": \"4.0\", \"bbox\": 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122]}, {\"cell\": \"1.10\", \"bbox\": [80, 111, 99, 122]}, {\"cell\": \"4.0\", \"bbox\": [147, 111, 161, 122]}, {\"cell\": \"0.0\", \"bbox\": [186, 111, 200, 122]}, {\"cell\": \"14.0\", \"bbox\": [231, 111, 251, 122]}, {\"cell\": \"84.0\", \"bbox\": [275, 111, 294, 122]}, {\"cell\": \"1.4\", \"bbox\": [326, 111, 341, 120]}, {\"cell\": \"0.5\", \"bbox\": [365, 111, 380, 122]}, {\"cell\": \"7.7\", \"bbox\": [409, 111, 423, 122]}, {\"cell\": \"0.6\", \"bbox\": [451, 111, 466, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 122, 20, 133]}, {\"cell\": \"2.50\", \"bbox\": [80, 122, 99, 133]}, {\"cell\": \"4.0\", \"bbox\": [147, 122, 161, 133]}, {\"cell\": \"0.0\", \"bbox\": [186, 122, 200, 133]}, {\"cell\": \"0.0\", \"bbox\": [236, 122, 251, 133]}, {\"cell\": \"8.1\", \"bbox\": [280, 122, 294, 133]}, {\"cell\": \"90.9\", \"bbox\": [320, 122, 341, 131]}, {\"cell\": \"0.9\", \"bbox\": [365, 122, 380, 133]}, {\"cell\": \"7.5\", \"bbox\": [409, 122, 423, 133]}, {\"cell\": \"0.4\", \"bbox\": [451, 122, 466, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 133, 25, 145]}, {\"cell\": \"10.00\", \"bbox\": [75, 133, 99, 145]}, {\"cell\": \"4.0\", \"bbox\": [147, 133, 161, 145]}, {\"cell\": \"0.0\", \"bbox\": [186, 133, 200, 145]}, {\"cell\": \"0.0\", \"bbox\": [236, 133, 251, 145]}, {\"cell\": \"0.0\", \"bbox\": [280, 133, 294, 145]}, {\"cell\": \"19.9\", \"bbox\": [321, 133, 340, 145]}, {\"cell\": \"80.1\", \"bbox\": [359, 134, 381, 142]}, {\"cell\": \"7.5\", \"bbox\": [409, 133, 423, 145]}, {\"cell\": \"0.6\", \"bbox\": [451, 133, 466, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 145, 15, 156]}, {\"cell\": \"0.03\", \"bbox\": [80, 145, 99, 156]}, {\"cell\": \"10.0\", \"bbox\": [142, 145, 161, 156]}, {\"cell\": \"99.7\", \"bbox\": [180, 145, 201, 154]}, {\"cell\": \"0.3\", \"bbox\": [236, 145, 251, 156]}, {\"cell\": \"0.0\", \"bbox\": [280, 145, 294, 156]}, {\"cell\": \"0.0\", \"bbox\": [326, 145, 340, 156]}, {\"cell\": \"0.0\", \"bbox\": [365, 145, 380, 156]}, {\"cell\": \"2.1\", \"bbox\": [409, 145, 423, 156]}, {\"cell\": \"1.0\", \"bbox\": [451, 145, 466, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 156, 15, 168]}, {\"cell\": \"0.15\", \"bbox\": [80, 156, 99, 168]}, {\"cell\": \"10.0\", \"bbox\": [142, 156, 161, 168]}, {\"cell\": \"0.0\", \"bbox\": [186, 156, 200, 168]}, {\"cell\": \"100.0\", \"bbox\": [225, 156, 252, 165]}, {\"cell\": \"0.0\", \"bbox\": [280, 156, 294, 168]}, {\"cell\": \"0.0\", \"bbox\": [326, 156, 340, 168]}, {\"cell\": \"0.0\", \"bbox\": [365, 156, 380, 168]}, {\"cell\": \"7.0\", \"bbox\": [409, 156, 423, 168]}, {\"cell\": \"0.0\", \"bbox\": [451, 156, 466, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 168, 15, 179]}, {\"cell\": \"0.70\", \"bbox\": [80, 168, 99, 179]}, {\"cell\": \"10.0\", \"bbox\": [142, 168, 161, 179]}, {\"cell\": \"0.0\", \"bbox\": [186, 168, 200, 179]}, {\"cell\": \"11.3\", \"bbox\": [231, 168, 251, 179]}, {\"cell\": \"88.7\", \"bbox\": [274, 168, 295, 177]}, {\"cell\": \"0.0\", \"bbox\": [326, 168, 340, 179]}, {\"cell\": \"0.0\", \"bbox\": [365, 168, 380, 179]}, {\"cell\": \"9.2\", \"bbox\": [409, 168, 423, 179]}, {\"cell\": \"0.4\", \"bbox\": [451, 168, 466, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 179, 20, 191]}, {\"cell\": \"1.00\", \"bbox\": [80, 179, 99, 191]}, {\"cell\": \"10.0\", \"bbox\": [142, 179, 161, 191]}, {\"cell\": \"0.0\", \"bbox\": [186, 179, 200, 191]}, {\"cell\": \"0.1\", \"bbox\": [236, 179, 251, 191]}, {\"cell\": \"99.9\", \"bbox\": [274, 179, 295, 188]}, {\"cell\": \"0.0\", \"bbox\": [326, 179, 340, 191]}, {\"cell\": \"0.0\", \"bbox\": [365, 179, 380, 191]}, {\"cell\": \"7.0\", \"bbox\": [409, 179, 423, 191]}, {\"cell\": \"0.0\", \"bbox\": [451, 179, 466, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 191, 20, 202]}, {\"cell\": \"1.10\", \"bbox\": [80, 191, 99, 202]}, {\"cell\": \"10.0\", \"bbox\": [142, 191, 161, 202]}, {\"cell\": \"0.0\", \"bbox\": [186, 191, 200, 202]}, {\"cell\": \"0.0\", \"bbox\": [236, 191, 251, 202]}, {\"cell\": \"100.0\", \"bbox\": [270, 191, 294, 202]}, {\"cell\": \"0.0\", \"bbox\": [326, 191, 341, 200]}, {\"cell\": \"0.0\", \"bbox\": [365, 191, 380, 202]}, {\"cell\": \"7.0\", \"bbox\": [409, 191, 423, 202]}, {\"cell\": \"0.0\", \"bbox\": [451, 191, 466, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 202, 20, 213]}, {\"cell\": \"2.50\", \"bbox\": [80, 202, 99, 213]}, {\"cell\": \"10.0\", \"bbox\": [142, 202, 161, 213]}, {\"cell\": \"0.0\", \"bbox\": [186, 202, 200, 213]}, {\"cell\": \"0.0\", \"bbox\": [236, 202, 251, 213]}, {\"cell\": \"0.0\", \"bbox\": [280, 202, 294, 213]}, {\"cell\": \"100.0\", \"bbox\": [315, 202, 341, 211]}, {\"cell\": \"0.0\", \"bbox\": [365, 202, 380, 213]}, {\"cell\": \"7.0\", \"bbox\": [409, 202, 423, 213]}, {\"cell\": \"0.0\", \"bbox\": [451, 202, 466, 213]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 214, 25, 225]}, {\"cell\": \"10.00\", \"bbox\": [75, 214, 99, 225]}, {\"cell\": \"10.0\", \"bbox\": [142, 214, 161, 225]}, {\"cell\": \"0.0\", \"bbox\": [186, 214, 200, 225]}, {\"cell\": \"0.0\", \"bbox\": [236, 214, 251, 225]}, {\"cell\": \"0.0\", \"bbox\": [280, 214, 294, 225]}, {\"cell\": \"0.1\", \"bbox\": [326, 214, 340, 225]}, {\"cell\": \"99.9\", \"bbox\": [359, 214, 381, 223]}, {\"cell\": \"7.0\", \"bbox\": [409, 214, 423, 225]}, {\"cell\": \"0.0\", \"bbox\": [451, 214, 466, 225]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3057438_010_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
CompoundAChEBuChE
In vitroComputationalIn vitroComputational
IC50 (μM) ± SEMΔG (kcal mol−1)Ki (μM)IC50 (μM) ± SEMΔG (kcal mol−1)Ki (μM)
[EMPTY_CELL]0.340 ± 0.007−6.2924.540.499 ± 0.003−6.4718.17
[EMPTY_CELL]356.1 ± 4.73−5.29132.580.553 ± 0.038−6.2127.87
[EMPTY_CELL]467.9 ± 4.98−5.05197.98NT−5.15168.81
[EMPTY_CELL]12.69 ± 0.62−6.1630.68NT−5.37114.9
[EMPTY_CELL]45.53 ± 1.36−6.2128.08NT−5.31129.13
[EMPTY_CELL]3.926 ± 0.014−6.5116.96NT−5.9841.56
[EMPTY_CELL]96.37 ± 2.81−5.678.3NT−6.2327.26
[EMPTY_CELL]584.4 ± 7.92−5.03205.05NT−5.22148.87
[EMPTY_CELL]101.2 ± 1.58−5.6374.59NT−5.9146.66
[EMPTY_CELL]140.7 ± 3.11−5.4699.58NT−6.324.18
[EMPTY_CELL]10.67 ± 0.56−6.0834.85NT−5.6967.04
[EMPTY_CELL]872.0 ± 4.38−5.4109.84NT−5.22149.56
[EMPTY_CELL]4.864 ± 0.81−6.6812.761.757 ± 0.035−6.1928.79
[EMPTY_CELL]11.54 ± 0.35−6.3821.080.024 ± 0.002−6.997.52
[EMPTY_CELL]2.662 ± 0.084−7.34.46NT−6.0338.26
[EMPTY_CELL]1.450 ± 0.047−7.056.85.718 ± 0.874−6.2227.57
[EMPTY_CELL]54.85 ± 0.92−5.7758.85NT−6.4419.09
[EMPTY_CELL]0.2645 ± 0.009−6.7111.975.368 ± 0.278−6.3323.02
[EMPTY_CELL]0.021 ± 0.005−6.0139.45–––
[EMPTY_CELL]0.225 ± 0.04––5.1 ± 0.2*−5.35119.26
\", \"cells\": [{\"cell\": \"Compound\", \"bbox\": [1, 34, 37, 43]}, {\"cell\": \"AChE\", \"bbox\": [143, 4, 161, 14]}, {\"cell\": \"BuChE\", \"bbox\": [345, 4, 367, 14]}, {\"cell\": \"In vitro\", \"bbox\": [76, 25, 100, 33]}, {\"cell\": \"Computational\", \"bbox\": [166, 19, 214, 28]}, {\"cell\": \"In vitro\", \"bbox\": [280, 25, 304, 33]}, {\"cell\": \"Computational\", \"bbox\": [370, 19, 418, 28]}, {\"cell\": \"IC50 (μM) ± SEM\", \"bbox\": [62, 34, 114, 44]}, {\"cell\": \"ΔG (kcal mol−1)\", \"bbox\": [139, 33, 192, 43]}, {\"cell\": \"Ki (μM)\", \"bbox\": [217, 34, 241, 44]}, {\"cell\": \"IC50 (μM) ± SEM\", \"bbox\": [266, 34, 318, 44]}, {\"cell\": \"ΔG (kcal mol−1)\", \"bbox\": [343, 33, 396, 43]}, {\"cell\": \"Ki (μM)\", \"bbox\": [421, 34, 445, 44]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 46, 6, 54]}, {\"cell\": \"0.340 ± 0.007\", \"bbox\": [68, 46, 111, 55]}, {\"cell\": \"−6.29\", \"bbox\": [155, 46, 176, 55]}, {\"cell\": \"24.54\", \"bbox\": [222, 46, 240, 55]}, {\"cell\": \"0.499 ± 0.003\", \"bbox\": [271, 46, 314, 55]}, {\"cell\": \"−6.47\", \"bbox\": [359, 46, 380, 55]}, {\"cell\": \"18.17\", \"bbox\": [426, 46, 445, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 55, 6, 63]}, {\"cell\": \"356.1 ± 4.73\", \"bbox\": [68, 55, 107, 64]}, {\"cell\": \"−5.29\", \"bbox\": [155, 55, 176, 64]}, {\"cell\": \"132.58\", \"bbox\": [218, 55, 240, 64]}, {\"cell\": \"0.553 ± 0.038\", \"bbox\": [271, 55, 314, 64]}, {\"cell\": \"−6.21\", \"bbox\": [359, 55, 380, 64]}, {\"cell\": \"27.87\", \"bbox\": [426, 55, 445, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 64, 6, 72]}, {\"cell\": \"467.9 ± 4.98\", \"bbox\": [68, 64, 107, 73]}, {\"cell\": \"−5.05\", \"bbox\": [155, 64, 176, 73]}, {\"cell\": \"197.98\", \"bbox\": [218, 64, 240, 73]}, {\"cell\": \"NT\", \"bbox\": [287, 64, 297, 73]}, {\"cell\": \"−5.15\", \"bbox\": [359, 64, 380, 73]}, {\"cell\": \"168.81\", \"bbox\": [422, 64, 445, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 73, 6, 81]}, {\"cell\": \"12.69 ± 0.62\", \"bbox\": [68, 73, 107, 82]}, {\"cell\": \"−6.16\", \"bbox\": [155, 73, 176, 82]}, {\"cell\": \"30.68\", \"bbox\": [222, 73, 240, 82]}, {\"cell\": \"NT\", \"bbox\": [287, 73, 297, 82]}, {\"cell\": \"−5.37\", \"bbox\": [359, 73, 380, 82]}, {\"cell\": \"114.9\", \"bbox\": [422, 73, 441, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 82, 6, 90]}, {\"cell\": \"45.53 ± 1.36\", \"bbox\": [68, 82, 107, 91]}, {\"cell\": \"−6.21\", \"bbox\": [155, 82, 176, 91]}, {\"cell\": \"28.08\", \"bbox\": [222, 82, 240, 91]}, {\"cell\": \"NT\", \"bbox\": [287, 82, 297, 91]}, {\"cell\": \"−5.31\", \"bbox\": [359, 82, 380, 91]}, {\"cell\": \"129.13\", \"bbox\": [422, 82, 445, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 91, 6, 99]}, {\"cell\": \"3.926 ± 0.014\", \"bbox\": [68, 91, 111, 100]}, {\"cell\": \"−6.51\", \"bbox\": [155, 91, 176, 100]}, {\"cell\": \"16.96\", \"bbox\": [222, 91, 240, 100]}, {\"cell\": \"NT\", \"bbox\": [287, 91, 297, 100]}, {\"cell\": \"−5.98\", \"bbox\": [359, 91, 380, 100]}, {\"cell\": \"41.56\", \"bbox\": [426, 91, 445, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 100, 10, 108]}, {\"cell\": \"96.37 ± 2.81\", \"bbox\": [68, 100, 107, 109]}, {\"cell\": \"−5.6\", \"bbox\": [155, 100, 172, 109]}, {\"cell\": \"78.3\", \"bbox\": [222, 100, 237, 109]}, {\"cell\": \"NT\", \"bbox\": [287, 100, 297, 109]}, {\"cell\": \"−6.23\", \"bbox\": [359, 100, 380, 109]}, {\"cell\": \"27.26\", \"bbox\": [426, 100, 445, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 109, 10, 117]}, {\"cell\": \"584.4 ± 7.92\", \"bbox\": [68, 109, 107, 118]}, {\"cell\": \"−5.03\", \"bbox\": [155, 109, 176, 118]}, {\"cell\": \"205.05\", \"bbox\": [218, 109, 240, 118]}, {\"cell\": \"NT\", \"bbox\": [287, 109, 297, 118]}, {\"cell\": \"−5.22\", \"bbox\": [359, 109, 380, 118]}, {\"cell\": \"148.87\", \"bbox\": [422, 109, 445, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 118, 10, 126]}, {\"cell\": \"101.2 ± 1.58\", \"bbox\": [68, 118, 107, 127]}, {\"cell\": \"−5.63\", \"bbox\": [155, 118, 176, 127]}, {\"cell\": \"74.59\", \"bbox\": [222, 118, 240, 127]}, {\"cell\": \"NT\", \"bbox\": [287, 118, 297, 127]}, {\"cell\": \"−5.91\", \"bbox\": [359, 118, 380, 127]}, {\"cell\": \"46.66\", \"bbox\": [426, 118, 445, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 127, 10, 135]}, {\"cell\": \"140.7 ± 3.11\", \"bbox\": [68, 127, 107, 136]}, {\"cell\": \"−5.46\", \"bbox\": [155, 127, 176, 136]}, {\"cell\": \"99.58\", \"bbox\": [222, 127, 240, 136]}, {\"cell\": \"NT\", \"bbox\": [287, 127, 297, 136]}, {\"cell\": \"−6.3\", \"bbox\": [359, 127, 376, 136]}, {\"cell\": \"24.18\", \"bbox\": [426, 127, 445, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 136, 10, 144]}, {\"cell\": \"10.67 ± 0.56\", \"bbox\": [68, 136, 107, 145]}, {\"cell\": \"−6.08\", \"bbox\": [155, 136, 176, 145]}, {\"cell\": \"34.85\", \"bbox\": [222, 136, 240, 145]}, {\"cell\": \"NT\", \"bbox\": [287, 136, 297, 145]}, {\"cell\": \"−5.69\", \"bbox\": [359, 136, 380, 145]}, {\"cell\": \"67.04\", \"bbox\": [426, 136, 445, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 145, 10, 153]}, {\"cell\": \"872.0 ± 4.38\", \"bbox\": [68, 145, 107, 154]}, {\"cell\": \"−5.4\", \"bbox\": [155, 145, 172, 154]}, {\"cell\": \"109.84\", \"bbox\": [218, 145, 240, 154]}, {\"cell\": \"NT\", \"bbox\": [287, 145, 297, 154]}, {\"cell\": \"−5.22\", \"bbox\": [359, 145, 380, 154]}, {\"cell\": \"149.56\", \"bbox\": [422, 145, 445, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 154, 10, 161]}, {\"cell\": \"4.864 ± 0.81\", \"bbox\": [68, 154, 107, 163]}, {\"cell\": \"−6.68\", \"bbox\": [155, 154, 176, 163]}, {\"cell\": \"12.76\", \"bbox\": [222, 154, 240, 163]}, {\"cell\": \"1.757 ± 0.035\", \"bbox\": [271, 154, 314, 163]}, {\"cell\": \"−6.19\", \"bbox\": [359, 154, 380, 163]}, {\"cell\": \"28.79\", \"bbox\": [426, 154, 445, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 163, 10, 170]}, {\"cell\": \"11.54 ± 0.35\", \"bbox\": [68, 163, 107, 172]}, {\"cell\": \"−6.38\", \"bbox\": [155, 163, 176, 172]}, {\"cell\": \"21.08\", \"bbox\": [222, 163, 240, 172]}, {\"cell\": \"0.024 ± 0.002\", \"bbox\": [271, 163, 314, 172]}, {\"cell\": \"−6.99\", \"bbox\": [359, 163, 380, 172]}, {\"cell\": \"7.52\", \"bbox\": [429, 163, 444, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 172, 10, 179]}, {\"cell\": \"2.662 ± 0.084\", \"bbox\": [68, 172, 111, 181]}, {\"cell\": \"−7.3\", \"bbox\": [155, 172, 172, 181]}, {\"cell\": \"4.46\", \"bbox\": [225, 172, 240, 181]}, {\"cell\": \"NT\", \"bbox\": [287, 172, 297, 181]}, {\"cell\": \"−6.03\", \"bbox\": [359, 172, 380, 181]}, {\"cell\": \"38.26\", \"bbox\": [426, 172, 445, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 181, 10, 188]}, {\"cell\": \"1.450 ± 0.047\", \"bbox\": [68, 181, 111, 190]}, {\"cell\": \"−7.05\", \"bbox\": [155, 181, 176, 190]}, {\"cell\": \"6.8\", \"bbox\": [225, 181, 236, 190]}, {\"cell\": \"5.718 ± 0.874\", \"bbox\": [271, 181, 314, 190]}, {\"cell\": \"−6.22\", \"bbox\": [359, 181, 380, 190]}, {\"cell\": \"27.57\", \"bbox\": [426, 181, 445, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 190, 10, 197]}, {\"cell\": \"54.85 ± 0.92\", \"bbox\": [68, 190, 107, 199]}, {\"cell\": \"−5.77\", \"bbox\": [155, 190, 176, 199]}, {\"cell\": \"58.85\", \"bbox\": [222, 190, 240, 199]}, {\"cell\": \"NT\", \"bbox\": [287, 190, 297, 199]}, {\"cell\": \"−6.44\", \"bbox\": [359, 190, 380, 199]}, {\"cell\": \"19.09\", \"bbox\": [426, 190, 445, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 199, 10, 206]}, {\"cell\": \"0.2645 ± 0.009\", \"bbox\": [65, 199, 111, 208]}, {\"cell\": \"−6.71\", \"bbox\": [155, 199, 176, 208]}, {\"cell\": \"11.97\", \"bbox\": [222, 199, 240, 208]}, {\"cell\": \"5.368 ± 0.278\", \"bbox\": [271, 199, 314, 208]}, {\"cell\": \"−6.33\", \"bbox\": [359, 199, 380, 208]}, {\"cell\": \"23.02\", \"bbox\": [426, 199, 445, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 208, 16, 215]}, {\"cell\": \"0.021 ± 0.005\", \"bbox\": [68, 208, 111, 217]}, {\"cell\": \"−6.01\", \"bbox\": [155, 208, 176, 217]}, {\"cell\": \"39.45\", \"bbox\": [222, 208, 240, 217]}, {\"cell\": \"–\", \"bbox\": [289, 211, 295, 215]}, {\"cell\": \"–\", \"bbox\": [365, 211, 371, 215]}, {\"cell\": \"–\", \"bbox\": [429, 211, 435, 215]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 217, 15, 224]}, {\"cell\": \"0.225 ± 0.04\", \"bbox\": [68, 216, 107, 226]}, {\"cell\": \"–\", \"bbox\": [161, 220, 167, 224]}, {\"cell\": \"–\", \"bbox\": [225, 220, 231, 224]}, {\"cell\": \"5.1 ± 0.2*\", \"bbox\": [276, 216, 308, 226]}, {\"cell\": \"−5.35\", \"bbox\": [359, 216, 380, 226]}, {\"cell\": \"119.26\", \"bbox\": [422, 216, 444, 226]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC6009888_013_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]p (vs. initial value)
Cholesterol (mg*dl-1 )
Initial resting value[EMPTY_CELL]n.a.
1 hour after initial test[EMPTY_CELL]0.300
24 hours after initial test[EMPTY_CELL]0.421
Final resting value[EMPTY_CELL]0.025
HDL2 (mg* dl-1 )
Initial resting value[EMPTY_CELL]n.a.
1 hour after initial test[EMPTY_CELL]0.434
24 hours after initial test[EMPTY_CELL]0.458
Final resting value[EMPTY_CELL]0.995
LDL (mg* dl-1 )[EMPTY_CELL][EMPTY_CELL]
Initial resting value[EMPTY_CELL]n.a.
1 hour after initial test[EMPTY_CELL]0.341
24 hours after initial test[EMPTY_CELL]0.850
Final resting value[EMPTY_CELL][EMPTY_CELL]
Triglyceride (mg* dl-1 )[EMPTY_CELL][EMPTY_CELL]
Initial resting value[EMPTY_CELL]n.a.
1 hour after initial test[EMPTY_CELL]0.189
24 hours after initial test[EMPTY_CELL]0.061
Final resting value[EMPTY_CELL]0.006
NEFA (mg* dl-1 )[EMPTY_CELL][EMPTY_CELL]
Initial resting value[EMPTY_CELL]n.a.
1 hour after initial test[EMPTY_CELL][EMPTY_CELL]
24 hours after initial test[EMPTY_CELL][EMPTY_CELL]
Final resting value[EMPTY_CELL][EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"p (vs. initial value)\", \"bbox\": [160, 15, 219, 27]}, {\"cell\": \"Cholesterol (mg*dl-1 )\", \"bbox\": [1, 26, 68, 38]}, {\"cell\": \"Initial resting value\", \"bbox\": [1, 38, 56, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 38, 133, 49]}, {\"cell\": \"n.a.\", \"bbox\": [160, 38, 173, 49]}, {\"cell\": \"1 hour after initial test\", \"bbox\": [1, 49, 65, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 49, 133, 60]}, {\"cell\": \"0.300\", \"bbox\": [160, 49, 178, 60]}, {\"cell\": \"24 hours after initial test\", \"bbox\": [1, 60, 72, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 60, 133, 71]}, {\"cell\": \"0.421\", \"bbox\": [160, 60, 178, 71]}, {\"cell\": \"Final resting value\", \"bbox\": [1, 71, 55, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 71, 133, 82]}, {\"cell\": \"0.025\", \"bbox\": [160, 71, 178, 82]}, {\"cell\": \"HDL2 (mg* dl-1 )\", \"bbox\": [1, 81, 51, 93]}, {\"cell\": \"Initial resting value\", \"bbox\": [1, 93, 56, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 93, 130, 104]}, {\"cell\": \"n.a.\", \"bbox\": [160, 93, 173, 104]}, {\"cell\": \"1 hour after initial test\", \"bbox\": [1, 104, 65, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 104, 130, 115]}, {\"cell\": \"0.434\", \"bbox\": [160, 104, 178, 115]}, {\"cell\": \"24 hours after initial test\", \"bbox\": [1, 115, 72, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 115, 130, 126]}, {\"cell\": \"0.458\", \"bbox\": [160, 115, 178, 126]}, {\"cell\": \"Final resting value\", \"bbox\": [1, 126, 55, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 126, 130, 137]}, {\"cell\": \"0.995\", \"bbox\": [160, 126, 178, 137]}, {\"cell\": \"LDL (mg* dl-1 )\", \"bbox\": [1, 136, 46, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Initial resting value\", \"bbox\": [0, 148, 56, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 148, 133, 159]}, {\"cell\": \"n.a.\", \"bbox\": [160, 148, 173, 159]}, {\"cell\": \"1 hour after initial test\", \"bbox\": [0, 159, 65, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 159, 133, 170]}, {\"cell\": \"0.341\", \"bbox\": [160, 159, 178, 170]}, {\"cell\": \"24 hours after initial test\", \"bbox\": [0, 170, 71, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 170, 133, 181]}, {\"cell\": \"0.850\", \"bbox\": [160, 170, 178, 181]}, {\"cell\": \"Final resting value\", \"bbox\": [0, 181, 55, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 181, 133, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [160, 181, 182, 192]}, {\"cell\": \"Triglyceride (mg* dl-1 )\", \"bbox\": [0, 191, 71, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Initial resting value\", \"bbox\": [1, 203, 56, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 203, 133, 214]}, {\"cell\": \"n.a.\", \"bbox\": [160, 203, 173, 214]}, {\"cell\": \"1 hour after initial test\", \"bbox\": [1, 214, 65, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 214, 133, 225]}, {\"cell\": \"0.189\", \"bbox\": [160, 214, 178, 225]}, {\"cell\": \"24 hours after initial test\", \"bbox\": [1, 225, 72, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 225, 133, 236]}, {\"cell\": \"0.061\", \"bbox\": [160, 225, 178, 236]}, {\"cell\": \"Final resting value\", \"bbox\": [1, 236, 55, 247]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 236, 133, 247]}, {\"cell\": \"0.006\", \"bbox\": [160, 236, 178, 247]}, {\"cell\": \"NEFA (mg* dl-1 )\", \"bbox\": [1, 246, 51, 258]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Initial resting value\", \"bbox\": [1, 258, 56, 269]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 258, 140, 269]}, {\"cell\": \"n.a.\", \"bbox\": [160, 258, 173, 269]}, {\"cell\": \"1 hour after initial test\", \"bbox\": [1, 269, 65, 280]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 269, 140, 280]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [160, 269, 182, 281]}, {\"cell\": \"24 hours after initial test\", \"bbox\": [1, 280, 71, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 280, 140, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [160, 280, 182, 292]}, {\"cell\": \"Final resting value\", \"bbox\": [1, 291, 55, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 291, 140, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [160, 291, 182, 303]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3836744_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
DescriptionAll smearsAll culturesCultures in SN SECultures in SP SE
Number of SE[EMPTY_CELL]25372060477
Observed # of P SE after 1 specimen[EMPTY_CELL]682253429
Observed # of P SE after 2 specimens[EMPTY_CELL]733301432
Proportion of P SE on 1st specimen[EMPTY_CELL]0.2690.1230.899
Proportion of NP SE[EMPTY_CELL]0.0420.0400.103
# of P SE missed by failing to do 2nd specimen[EMPTY_CELL]27252
Expected # of P SE after 1 specimen[EMPTY_CELL]682253429
Expected # of P SE after 2 specimens[EMPTY_CELL]760326434
Expected proportion of P SE after 1 specimen[EMPTY_CELL]0.2690.1230.899
Expected proportion of P SE after 2 specimens[EMPTY_CELL]0.2990.1580.910
Potential IY for 1st specimen[EMPTY_CELL]0.8980.7760.989
Potential IY for 2nd specimen[EMPTY_CELL]0.1020.2240.011
Overall fraction of P on 1st specimen[EMPTY_CELL]0.2690.1230.899
Overall fraction of P on 2nd specimen[EMPTY_CELL]0.0310.0350.010
NND on 1st specimen[EMPTY_CELL]481
NND on 2nd specimen[EMPTY_CELL]332896
\", \"cells\": [{\"cell\": \"Description\", \"bbox\": [1, 4, 42, 13]}, {\"cell\": \"All smears\", \"bbox\": [186, 4, 223, 13]}, {\"cell\": \"All cultures\", \"bbox\": [256, 4, 297, 13]}, {\"cell\": \"Cultures in SN SE\", \"bbox\": [329, 4, 391, 13]}, {\"cell\": \"Cultures in SP SE\", \"bbox\": [424, 4, 484, 13]}, {\"cell\": \"Number of SE\", \"bbox\": [1, 17, 47, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 17, 203, 27]}, {\"cell\": \"2537\", \"bbox\": [256, 17, 273, 27]}, {\"cell\": \"2060\", \"bbox\": [329, 17, 347, 27]}, {\"cell\": \"477\", \"bbox\": [424, 17, 437, 27]}, {\"cell\": \"Observed # of P SE after 1 specimen\", \"bbox\": [1, 31, 120, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 31, 199, 41]}, {\"cell\": \"682\", \"bbox\": [256, 31, 269, 41]}, {\"cell\": \"253\", \"bbox\": [329, 31, 343, 41]}, {\"cell\": \"429\", \"bbox\": [424, 31, 437, 41]}, {\"cell\": \"Observed # of P SE after 2 specimens\", \"bbox\": [1, 45, 123, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 45, 199, 55]}, {\"cell\": \"733\", \"bbox\": [256, 45, 269, 55]}, {\"cell\": \"301\", \"bbox\": [329, 45, 343, 55]}, {\"cell\": \"432\", \"bbox\": [424, 45, 437, 55]}, {\"cell\": \"Proportion of P SE on 1st specimen\", \"bbox\": [1, 57, 116, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 59, 204, 69]}, {\"cell\": \"0.269\", \"bbox\": [256, 59, 274, 69]}, {\"cell\": \"0.123\", \"bbox\": [329, 59, 348, 69]}, {\"cell\": \"0.899\", \"bbox\": [424, 59, 442, 69]}, {\"cell\": \"Proportion of NP SE\", \"bbox\": [0, 73, 66, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 73, 204, 83]}, {\"cell\": \"0.042\", \"bbox\": [256, 73, 274, 83]}, {\"cell\": \"0.040\", \"bbox\": [329, 73, 348, 83]}, {\"cell\": \"0.103\", \"bbox\": [424, 73, 442, 83]}, {\"cell\": \"# of P SE missed by failing to do 2nd specimen\", \"bbox\": [0, 85, 153, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 87, 195, 97]}, {\"cell\": \"27\", \"bbox\": [256, 87, 265, 97]}, {\"cell\": \"25\", \"bbox\": [329, 87, 339, 97]}, {\"cell\": \"2\", \"bbox\": [424, 87, 429, 97]}, {\"cell\": \"Expected # of P SE after 1 specimen\", \"bbox\": [1, 101, 119, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 101, 199, 111]}, {\"cell\": \"682\", \"bbox\": [256, 101, 269, 111]}, {\"cell\": \"253\", \"bbox\": [329, 101, 343, 111]}, {\"cell\": \"429\", \"bbox\": [424, 101, 437, 111]}, {\"cell\": \"Expected # of P SE after 2 specimens\", \"bbox\": [1, 115, 122, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 115, 199, 125]}, {\"cell\": \"760\", \"bbox\": [256, 115, 269, 125]}, {\"cell\": \"326\", \"bbox\": [329, 115, 343, 125]}, {\"cell\": \"434\", \"bbox\": [424, 115, 437, 125]}, {\"cell\": \"Expected proportion of P SE after 1 specimen\", \"bbox\": [1, 129, 149, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 129, 204, 139]}, {\"cell\": \"0.269\", \"bbox\": [256, 129, 274, 139]}, {\"cell\": \"0.123\", \"bbox\": [329, 129, 348, 139]}, {\"cell\": \"0.899\", \"bbox\": [424, 129, 442, 139]}, {\"cell\": \"Expected proportion of P SE after 2 specimens\", \"bbox\": [1, 143, 152, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 143, 204, 153]}, {\"cell\": \"0.299\", \"bbox\": [256, 143, 274, 153]}, {\"cell\": \"0.158\", \"bbox\": [329, 143, 348, 153]}, {\"cell\": \"0.910\", \"bbox\": [424, 143, 442, 153]}, {\"cell\": \"Potential IY for 1st specimen\", \"bbox\": [1, 155, 93, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 157, 204, 167]}, {\"cell\": \"0.898\", \"bbox\": [256, 157, 274, 167]}, {\"cell\": \"0.776\", \"bbox\": [329, 157, 348, 167]}, {\"cell\": \"0.989\", \"bbox\": [424, 157, 442, 167]}, {\"cell\": \"Potential IY for 2nd specimen\", \"bbox\": [1, 169, 95, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 171, 204, 181]}, {\"cell\": \"0.102\", \"bbox\": [256, 171, 274, 181]}, {\"cell\": \"0.224\", \"bbox\": [329, 171, 348, 181]}, {\"cell\": \"0.011\", \"bbox\": [424, 171, 442, 181]}, {\"cell\": \"Overall fraction of P on 1st specimen\", \"bbox\": [0, 183, 120, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 185, 204, 195]}, {\"cell\": \"0.269\", \"bbox\": [256, 185, 274, 195]}, {\"cell\": \"0.123\", \"bbox\": [329, 185, 348, 195]}, {\"cell\": \"0.899\", \"bbox\": [424, 185, 442, 195]}, {\"cell\": \"Overall fraction of P on 2nd specimen\", \"bbox\": [0, 197, 123, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 199, 204, 209]}, {\"cell\": \"0.031\", \"bbox\": [256, 199, 274, 209]}, {\"cell\": \"0.035\", \"bbox\": [329, 199, 348, 209]}, {\"cell\": \"0.010\", \"bbox\": [424, 199, 442, 209]}, {\"cell\": \"NND on 1st specimen\", \"bbox\": [1, 211, 72, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 213, 191, 223]}, {\"cell\": \"4\", \"bbox\": [256, 213, 262, 223]}, {\"cell\": \"8\", \"bbox\": [329, 213, 335, 223]}, {\"cell\": \"1\", \"bbox\": [424, 213, 429, 223]}, {\"cell\": \"NND on 2nd specimen\", \"bbox\": [1, 225, 75, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 227, 195, 237]}, {\"cell\": \"33\", \"bbox\": [256, 227, 265, 237]}, {\"cell\": \"28\", \"bbox\": [329, 227, 339, 237]}, {\"cell\": \"96\", \"bbox\": [424, 227, 433, 237]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3482573_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]MenWomenTotal
[EMPTY_CELL]7683766715350
[EMPTY_CELL]41.2 (40.9,41.5)41.5 (41.2,41.8)41.4 (41.1,41.7)
[EMPTY_CELL]27.119.3*23.2
[EMPTY_CELL]
[EMPTY_CELL]85.1484.9185.03
[EMPTY_CELL]12.2013.3512.76
[EMPTY_CELL]2.661.752.21
[EMPTY_CELL]50.72.6*26.6
[EMPTY_CELL]67.611.3*39.5
[EMPTY_CELL]11.7511.4811.62
[EMPTY_CELL]24.4 (24.2,24.6)24.5 (24.2,24.8)24.5 (24.3,24.6)
[EMPTY_CELL]85.3 (84.6,85.9)81.3 (80.6,81.9)*83.3 (82.8,83.8)
[EMPTY_CELL]124 (123,125)118 (117,119)*121 (120,122)
[EMPTY_CELL]80 (79,81)77 (76,78)*79 (78,80)
[EMPTY_CELL]5.52 (5.45,5.59)5.47 (5.40,5.53)5.50 (5.45,5.55)
[EMPTY_CELL]4.36 (4.31,4.41)4.37 (4.31,4.43)4.37 (4.31,4.42)
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Men\", \"bbox\": [188, 4, 205, 13]}, {\"cell\": \"Women\", \"bbox\": [311, 4, 338, 13]}, {\"cell\": \"Total\", \"bbox\": [436, 4, 454, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 41, 27]}, {\"cell\": \"7683\", \"bbox\": [188, 17, 206, 27]}, {\"cell\": \"7667\", \"bbox\": [311, 17, 328, 27]}, {\"cell\": \"15350\", \"bbox\": [436, 17, 457, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 31, 38, 41]}, {\"cell\": \"41.2 (40.9,41.5)\", \"bbox\": [188, 31, 237, 41]}, {\"cell\": \"41.5 (41.2,41.8)\", \"bbox\": [311, 31, 359, 41]}, {\"cell\": \"41.4 (41.1,41.7)\", \"bbox\": [436, 31, 484, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 45, 67, 55]}, {\"cell\": \"27.1\", \"bbox\": [188, 45, 203, 55]}, {\"cell\": \"19.3*\", \"bbox\": [311, 45, 329, 55]}, {\"cell\": \"23.2\", \"bbox\": [436, 45, 451, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 59, 115, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 73, 34, 83]}, {\"cell\": \"85.14\", \"bbox\": [188, 73, 207, 83]}, {\"cell\": \"84.91\", \"bbox\": [311, 73, 329, 83]}, {\"cell\": \"85.03\", \"bbox\": [436, 73, 455, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 87, 45, 97]}, {\"cell\": \"12.20\", \"bbox\": [188, 87, 207, 97]}, {\"cell\": \"13.35\", \"bbox\": [311, 87, 329, 97]}, {\"cell\": \"12.76\", \"bbox\": [436, 87, 455, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 101, 34, 111]}, {\"cell\": \"2.66\", \"bbox\": [188, 101, 203, 111]}, {\"cell\": \"1.75\", \"bbox\": [311, 101, 326, 111]}, {\"cell\": \"2.21\", \"bbox\": [436, 101, 451, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 115, 90, 125]}, {\"cell\": \"50.7\", \"bbox\": [188, 115, 203, 125]}, {\"cell\": \"2.6*\", \"bbox\": [311, 115, 325, 125]}, {\"cell\": \"26.6\", \"bbox\": [436, 115, 451, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 129, 89, 139]}, {\"cell\": \"67.6\", \"bbox\": [188, 129, 203, 139]}, {\"cell\": \"11.3*\", \"bbox\": [311, 129, 329, 139]}, {\"cell\": \"39.5\", \"bbox\": [436, 129, 451, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 143, 101, 153]}, {\"cell\": \"11.75\", \"bbox\": [188, 143, 207, 153]}, {\"cell\": \"11.48\", \"bbox\": [311, 143, 329, 153]}, {\"cell\": \"11.62\", \"bbox\": [436, 143, 455, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 155, 91, 167]}, {\"cell\": \"24.4 (24.2,24.6)\", \"bbox\": [188, 157, 237, 167]}, {\"cell\": \"24.5 (24.2,24.8)\", \"bbox\": [311, 157, 359, 167]}, {\"cell\": \"24.5 (24.3,24.6)\", \"bbox\": [436, 157, 484, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 171, 92, 181]}, {\"cell\": \"85.3 (84.6,85.9)\", \"bbox\": [188, 171, 237, 181]}, {\"cell\": \"81.3 (80.6,81.9)*\", \"bbox\": [311, 171, 362, 181]}, {\"cell\": \"83.3 (82.8,83.8)\", \"bbox\": [436, 171, 484, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 185, 113, 195]}, {\"cell\": \"124 (123,125)\", \"bbox\": [188, 185, 233, 195]}, {\"cell\": \"118 (117,119)*\", \"bbox\": [311, 185, 358, 195]}, {\"cell\": \"121 (120,122)\", \"bbox\": [436, 185, 480, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 199, 114, 209]}, {\"cell\": \"80 (79,81)\", \"bbox\": [188, 199, 221, 209]}, {\"cell\": \"77 (76,78)*\", \"bbox\": [311, 199, 347, 209]}, {\"cell\": \"79 (78,80)\", \"bbox\": [436, 199, 469, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 213, 114, 223]}, {\"cell\": \"5.52 (5.45,5.59)\", \"bbox\": [188, 213, 237, 223]}, {\"cell\": \"5.47 (5.40,5.53)\", \"bbox\": [311, 213, 359, 223]}, {\"cell\": \"5.50 (5.45,5.55)\", \"bbox\": [436, 213, 484, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 227, 95, 237]}, {\"cell\": \"4.36 (4.31,4.41)\", \"bbox\": [188, 227, 237, 237]}, {\"cell\": \"4.37 (4.31,4.43)\", \"bbox\": [311, 227, 359, 237]}, {\"cell\": \"4.37 (4.31,4.42)\", \"bbox\": [436, 227, 484, 237]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5015193_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Sample No.Family nameEnglish nameScience nameHg concentration (μg g−1)
1[EMPTY_CELL]Painted comberSerranus scriba3.13 ± 1.5
2[EMPTY_CELL]Boxlip MulletOedalechilus labeo1.4 ± 1.1
3[EMPTY_CELL]Common Two-Banded SeabreamDiplodus vulgaris1.4 ± 0.53
4[EMPTY_CELL]European seabassDicentrarchus labrax0.89 ± 0.45
5[EMPTY_CELL]Striped sea breamLithognathus mormyrus1.5 ± 0.7
6[EMPTY_CELL]Dusky GrouperEpinephelus marginatus1.9 ± 2.0
7[EMPTY_CELL]SalemaSarpa salpa0.99 ± 0.71
8[EMPTY_CELL]sculpinSciaena umbra0.34 ± 0.33
9[EMPTY_CELL]Red porgyPagrus pagrus0.39 ± 0.38
10[EMPTY_CELL]blue runnerCaranx crysos0.78 ± 0.48
11[EMPTY_CELL]Rayed Pearl OysterPinctada radiata2.3 ± 3.6
12[EMPTY_CELL]common cuttlefishSepia officinalis0.63 ± 0.34
\", \"cells\": [{\"cell\": \"Sample No.\", \"bbox\": [1, 5, 39, 14]}, {\"cell\": \"Family name\", \"bbox\": [64, 5, 107, 14]}, {\"cell\": \"English name\", \"bbox\": [167, 5, 212, 14]}, {\"cell\": \"Science name\", \"bbox\": [298, 5, 344, 14]}, {\"cell\": \"Hg concentration (μg g−1)\", \"bbox\": [398, 3, 484, 14]}, {\"cell\": \"1\", \"bbox\": [1, 18, 6, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 18, 98, 27]}, {\"cell\": \"Painted comber\", \"bbox\": [167, 18, 217, 27]}, {\"cell\": \"Serranus scriba\", \"bbox\": [298, 18, 346, 27]}, {\"cell\": \"3.13 ± 1.5\", \"bbox\": [424, 18, 455, 27]}, {\"cell\": \"2\", \"bbox\": [1, 32, 6, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 32, 96, 41]}, {\"cell\": \"Boxlip Mullet\", \"bbox\": [167, 32, 208, 41]}, {\"cell\": \"Oedalechilus labeo\", \"bbox\": [298, 32, 357, 41]}, {\"cell\": \"1.4 ± 1.1\", \"bbox\": [428, 32, 455, 41]}, {\"cell\": \"3\", \"bbox\": [1, 46, 6, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 46, 92, 55]}, {\"cell\": \"Common Two-Banded Seabream\", \"bbox\": [167, 46, 273, 55]}, {\"cell\": \"Diplodus vulgaris\", \"bbox\": [298, 46, 352, 55]}, {\"cell\": \"1.4 ± 0.53\", \"bbox\": [427, 46, 459, 55]}, {\"cell\": \"4\", \"bbox\": [1, 60, 6, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 60, 99, 69]}, {\"cell\": \"European seabass\", \"bbox\": [167, 60, 224, 69]}, {\"cell\": \"Dicentrarchus labrax\", \"bbox\": [298, 60, 363, 69]}, {\"cell\": \"0.89 ± 0.45\", \"bbox\": [424, 60, 459, 69]}, {\"cell\": \"5\", \"bbox\": [1, 74, 6, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 74, 92, 83]}, {\"cell\": \"Striped sea bream\", \"bbox\": [167, 74, 225, 83]}, {\"cell\": \"Lithognathus mormyrus\", \"bbox\": [298, 74, 373, 83]}, {\"cell\": \"1.5 ± 0.7\", \"bbox\": [427, 74, 455, 83]}, {\"cell\": \"6\", \"bbox\": [1, 88, 6, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 88, 98, 97]}, {\"cell\": \"Dusky Grouper\", \"bbox\": [167, 88, 214, 97]}, {\"cell\": \"Epinephelus marginatus\", \"bbox\": [298, 88, 373, 97]}, {\"cell\": \"1.9 ± 2.0\", \"bbox\": [428, 88, 455, 97]}, {\"cell\": \"7\", \"bbox\": [1, 102, 6, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 102, 92, 111]}, {\"cell\": \"Salema\", \"bbox\": [167, 102, 192, 111]}, {\"cell\": \"Sarpa salpa\", \"bbox\": [298, 102, 336, 111]}, {\"cell\": \"0.99 ± 0.71\", \"bbox\": [424, 102, 459, 111]}, {\"cell\": \"8\", \"bbox\": [1, 116, 6, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 116, 100, 125]}, {\"cell\": \"sculpin\", \"bbox\": [167, 116, 190, 125]}, {\"cell\": \"Sciaena umbra\", \"bbox\": [298, 116, 346, 125]}, {\"cell\": \"0.34 ± 0.33\", \"bbox\": [424, 116, 459, 125]}, {\"cell\": \"9\", \"bbox\": [1, 130, 6, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 130, 142, 139]}, {\"cell\": \"Red porgy\", \"bbox\": [167, 130, 200, 139]}, {\"cell\": \"Pagrus pagrus\", \"bbox\": [298, 130, 344, 139]}, {\"cell\": \"0.39 ± 0.38\", \"bbox\": [424, 130, 459, 139]}, {\"cell\": \"10\", \"bbox\": [1, 144, 10, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 144, 101, 153]}, {\"cell\": \"blue runner\", \"bbox\": [167, 144, 204, 153]}, {\"cell\": \"Caranx crysos\", \"bbox\": [298, 144, 342, 153]}, {\"cell\": \"0.78 ± 0.48\", \"bbox\": [424, 144, 459, 153]}, {\"cell\": \"11\", \"bbox\": [1, 158, 10, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 158, 85, 167]}, {\"cell\": \"Rayed Pearl Oyster\", \"bbox\": [167, 158, 226, 167]}, {\"cell\": \"Pinctada radiata\", \"bbox\": [298, 158, 351, 167]}, {\"cell\": \"2.3 ± 3.6\", \"bbox\": [428, 158, 455, 167]}, {\"cell\": \"12\", \"bbox\": [1, 172, 10, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 172, 94, 181]}, {\"cell\": \"common cuttlefish\", \"bbox\": [167, 172, 226, 181]}, {\"cell\": \"Sepia officinalis\", \"bbox\": [298, 172, 347, 181]}, {\"cell\": \"0.63 ± 0.34\", \"bbox\": [424, 172, 459, 181]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4761145_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Region typeGM12878H1-hESCHeLa-S3Hep-G2K562
[EMPTY_CELL]109 Mbp (3.5%)78.8 Mbp (2.6%)93.6 Mbp (3.0%)88.8 Mbp (2.9%)98.7 Mbp (3.2%)
[EMPTY_CELL]1,390 Mbp (45%)1,200 Mbp (39%)1,330 Mbp (43%)401 Mbp (13%)1,010 Mbp (33%)
[EMPTY_CELL]25.4 Mbp (0.82%)15.5 Mbp (0.50%)20.7 Mbp (0.67%)17.1 Mbp (0.55%)24.3 Mbp (0.79%)
[EMPTY_CELL]24.6 Mbp (0.80%)18.2 Mbp (0.59%)25.3 Mbp (0.82%)21.1 Mbp (0.68%)22.0 Mbp (0.71%)
[EMPTY_CELL]25.9 Mbp (0.84%)26.4 Mbp (0.86%)25.6 Mbp (0.83%)26.3 Mbp (0.85%)26.6 Mbp (0.86%)
[EMPTY_CELL]5.82 Mbp (0.19%)6.43 Mbp (0.21%)6.70 Mbp (0.22%)6.74 Mbp (0.22%)5.18 Mbp (0.17%)
[EMPTY_CELL]24.7 Mbp (0.80%)23.5 Mbp (0.76%)22.8 Mbp (0.74%)23.8 Mbp (0.77%)24.2 Mbp (0.78%)
[EMPTY_CELL]10.7 Mbp (0.35%)11.0 Mbp (0.36%)10.1 Mbp (0.33%)10.7 Mbp (0.35%)12.4 Mbp (0.40%)
\", \"cells\": [{\"cell\": \"Region type\", \"bbox\": [1, 4, 45, 13]}, {\"cell\": \"GM12878\", \"bbox\": [195, 4, 230, 13]}, {\"cell\": \"H1-hESC\", \"bbox\": [254, 4, 286, 13]}, {\"cell\": \"HeLa-S3\", \"bbox\": [313, 4, 343, 13]}, {\"cell\": \"Hep-G2\", \"bbox\": [371, 4, 399, 13]}, {\"cell\": \"K562\", \"bbox\": [430, 4, 449, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 96, 27]}, {\"cell\": \"109 Mbp (3.5%)\", \"bbox\": [195, 17, 247, 27]}, {\"cell\": \"78.8 Mbp (2.6%)\", \"bbox\": [254, 17, 308, 27]}, {\"cell\": \"93.6 Mbp (3.0%)\", \"bbox\": [313, 17, 367, 27]}, {\"cell\": \"88.8 Mbp (2.9%)\", \"bbox\": [371, 17, 425, 27]}, {\"cell\": \"98.7 Mbp (3.2%)\", \"bbox\": [430, 17, 484, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 29, 99, 39]}, {\"cell\": \"1,390 Mbp (45%)\", \"bbox\": [195, 29, 231, 48]}, {\"cell\": \"1,200 Mbp (39%)\", \"bbox\": [254, 29, 290, 48]}, {\"cell\": \"1,330 Mbp (43%)\", \"bbox\": [313, 29, 349, 48]}, {\"cell\": \"401 Mbp (13%)\", \"bbox\": [371, 29, 422, 39]}, {\"cell\": \"1,010 Mbp (33%)\", \"bbox\": [430, 29, 466, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 50, 151, 60]}, {\"cell\": \"25.4 Mbp (0.82%)\", \"bbox\": [195, 50, 227, 69]}, {\"cell\": \"15.5 Mbp (0.50%)\", \"bbox\": [254, 50, 286, 69]}, {\"cell\": \"20.7 Mbp (0.67%)\", \"bbox\": [313, 50, 345, 69]}, {\"cell\": \"17.1 Mbp (0.55%)\", \"bbox\": [371, 50, 403, 69]}, {\"cell\": \"24.3 Mbp (0.79%)\", \"bbox\": [430, 50, 462, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 71, 128, 81]}, {\"cell\": \"24.6 Mbp (0.80%)\", \"bbox\": [195, 71, 227, 89]}, {\"cell\": \"18.2 Mbp (0.59%)\", \"bbox\": [254, 71, 286, 89]}, {\"cell\": \"25.3 Mbp (0.82%)\", \"bbox\": [313, 71, 345, 89]}, {\"cell\": \"21.1 Mbp (0.68%)\", \"bbox\": [371, 71, 403, 89]}, {\"cell\": \"22.0 Mbp (0.71%)\", \"bbox\": [430, 71, 462, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 92, 176, 101]}, {\"cell\": \"25.9 Mbp (0.84%)\", \"bbox\": [195, 92, 227, 110]}, {\"cell\": \"26.4 Mbp (0.86%)\", \"bbox\": [254, 92, 286, 110]}, {\"cell\": \"25.6 Mbp (0.83%)\", \"bbox\": [313, 92, 345, 110]}, {\"cell\": \"26.3 Mbp (0.85%)\", \"bbox\": [371, 92, 403, 110]}, {\"cell\": \"26.6 Mbp (0.86%)\", \"bbox\": [430, 92, 462, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 113, 183, 131]}, {\"cell\": \"5.82 Mbp (0.19%)\", \"bbox\": [195, 113, 227, 131]}, {\"cell\": \"6.43 Mbp (0.21%)\", \"bbox\": [254, 113, 286, 131]}, {\"cell\": \"6.70 Mbp (0.22%)\", \"bbox\": [313, 113, 345, 131]}, {\"cell\": \"6.74 Mbp (0.22%)\", \"bbox\": [371, 113, 403, 131]}, {\"cell\": \"5.18 Mbp (0.17%)\", \"bbox\": [430, 113, 462, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 134, 173, 143]}, {\"cell\": \"24.7 Mbp (0.80%)\", \"bbox\": [195, 134, 227, 152]}, {\"cell\": \"23.5 Mbp (0.76%)\", \"bbox\": [254, 134, 286, 152]}, {\"cell\": \"22.8 Mbp (0.74%)\", \"bbox\": [313, 134, 345, 152]}, {\"cell\": \"23.8 Mbp (0.77%)\", \"bbox\": [371, 134, 404, 152]}, {\"cell\": \"24.2 Mbp (0.78%)\", \"bbox\": [430, 134, 462, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 155, 180, 173]}, {\"cell\": \"10.7 Mbp (0.35%)\", \"bbox\": [195, 155, 227, 173]}, {\"cell\": \"11.0 Mbp (0.36%)\", \"bbox\": [254, 155, 286, 173]}, {\"cell\": \"10.1 Mbp (0.33%)\", \"bbox\": [313, 155, 345, 173]}, {\"cell\": \"10.7 Mbp (0.35%)\", \"bbox\": [371, 155, 404, 173]}, {\"cell\": \"12.4 Mbp (0.40%)\", \"bbox\": [430, 155, 462, 173]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3491392_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
AuthorYearAge/SexDuration post-nephrectomyPresenting symptomsOther organs involvedTreatmentPatient outcome
Lawson et al [3]196669/F[EMPTY_CELL]Bleeding anemia-Pancreatico-duodenectomyAlive (8 months FU)
Tolia et al [4]1975-/M[EMPTY_CELL]---5 months
Heymann et al [5]197864/M[EMPTY_CELL]BleedingColonComplex procedure3 weeks
McNichols et al [6]198152/M[EMPTY_CELL]Malabsorption-Diagnostic only-
Lynch et al [7]198716/M[EMPTY_CELL]Bleeding-EmbolizationAlive (6 months FU)
[EMPTY_CELL][EMPTY_CELL]61/M[EMPTY_CELL]Jaundice-Embolization6 months
[EMPTY_CELL][EMPTY_CELL]67/M[EMPTY_CELL]BleedingLungs-Lost to FU
Robertson et [8]199070/M[EMPTY_CELL]BleedingPancreasWhipple procedure-
Gastaca et al [9]1996-[EMPTY_CELL]--Duodenectomy-
Toh et al [10]199659/F[EMPTY_CELL]Obstruction anemia-MetastatectomyAlive (6 months FU)
Ohmura et al [11]200062/M[EMPTY_CELL]Obstruction-Embolization- local resection-
Hashimoto et al [12]200157/M[EMPTY_CELL]BleedingPancreasPPPD-
Nabi et al [13]200140/M[EMPTY_CELL]Obstruction-Gastrojujenostomy7 days
Sawh et al [14]200253/M[EMPTY_CELL]BleedingBrain Anal canalDuodenectomyAlive (4 years FU)
Loualidi et al [15]200476/M[EMPTY_CELL]Anemia-RadiotherapyAlive
Chang et al [16]200463/F[EMPTY_CELL]Bleeding-Metastatectomy-
George et al [16]200465/M[EMPTY_CELL]ObstructionOmentum ileumIntestinal Resection9 months
Arroyo [17]2005-[EMPTY_CELL]----
Bhatia et al (current)200650/M[EMPTY_CELL]JaundiceLiverDiagnostic onlyLost to FU
\", \"cells\": [{\"cell\": \"Author\", \"bbox\": [4, 5, 34, 14]}, {\"cell\": \"Year\", \"bbox\": [88, 5, 109, 14]}, {\"cell\": \"Age/Sex\", \"bbox\": [117, 5, 151, 14]}, {\"cell\": \"Duration post-nephrectomy\", \"bbox\": [166, 5, 225, 23]}, {\"cell\": \"Presenting symptoms\", \"bbox\": [247, 5, 290, 23]}, {\"cell\": \"Other organs involved\", \"bbox\": [308, 5, 362, 23]}, {\"cell\": \"Treatment\", \"bbox\": [371, 5, 416, 14]}, {\"cell\": \"Patient outcome\", \"bbox\": [449, 5, 486, 23]}, {\"cell\": \"Lawson et al [3]\", \"bbox\": [4, 36, 60, 46]}, {\"cell\": \"1966\", \"bbox\": [89, 36, 108, 46]}, {\"cell\": \"69/F\", \"bbox\": [126, 36, 142, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 36, 209, 46]}, {\"cell\": \"Bleeding anemia\", \"bbox\": [241, 36, 297, 46]}, {\"cell\": \"-\", \"bbox\": [333, 36, 337, 46]}, {\"cell\": \"Pancreatico-duodenectomy\", \"bbox\": [371, 36, 423, 55]}, {\"cell\": \"Alive (8 months FU)\", \"bbox\": [440, 36, 495, 55]}, {\"cell\": \"Tolia et al [4]\", \"bbox\": [4, 56, 52, 65]}, {\"cell\": \"1975\", \"bbox\": [89, 56, 108, 65]}, {\"cell\": \"-/M\", \"bbox\": [127, 56, 141, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [181, 56, 211, 65]}, {\"cell\": \"-\", \"bbox\": [267, 56, 271, 65]}, {\"cell\": \"-\", \"bbox\": [333, 56, 337, 65]}, {\"cell\": \"-\", \"bbox\": [399, 56, 404, 65]}, {\"cell\": \"5 months\", \"bbox\": [451, 56, 484, 65]}, {\"cell\": \"Heymann et al [5]\", \"bbox\": [4, 66, 67, 75]}, {\"cell\": \"1978\", \"bbox\": [89, 66, 108, 75]}, {\"cell\": \"64/M\", \"bbox\": [125, 66, 144, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 66, 208, 75]}, {\"cell\": \"Bleeding\", \"bbox\": [254, 66, 284, 75]}, {\"cell\": \"Colon\", \"bbox\": [324, 66, 346, 75]}, {\"cell\": \"Complex procedure\", \"bbox\": [371, 66, 408, 85]}, {\"cell\": \"3 weeks\", \"bbox\": [453, 66, 482, 75]}, {\"cell\": \"McNichols et al [6]\", \"bbox\": [4, 85, 70, 95]}, {\"cell\": \"1981\", \"bbox\": [89, 85, 108, 95]}, {\"cell\": \"52/M\", \"bbox\": [125, 85, 143, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 85, 211, 95]}, {\"cell\": \"Malabsorption\", \"bbox\": [244, 85, 294, 95]}, {\"cell\": \"-\", \"bbox\": [333, 85, 337, 95]}, {\"cell\": \"Diagnostic only\", \"bbox\": [371, 85, 425, 95]}, {\"cell\": \"-\", \"bbox\": [465, 85, 470, 95]}, {\"cell\": \"Lynch et al [7]\", \"bbox\": [4, 96, 54, 105]}, {\"cell\": \"1987\", \"bbox\": [89, 96, 108, 105]}, {\"cell\": \"16/M\", \"bbox\": [125, 96, 144, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [184, 96, 207, 105]}, {\"cell\": \"Bleeding\", \"bbox\": [254, 96, 284, 105]}, {\"cell\": \"-\", \"bbox\": [333, 96, 337, 105]}, {\"cell\": \"Embolization\", \"bbox\": [371, 96, 416, 105]}, {\"cell\": \"Alive (6 months FU)\", \"bbox\": [440, 96, 495, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"61/M\", \"bbox\": [125, 115, 144, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 115, 209, 125]}, {\"cell\": \"Jaundice\", \"bbox\": [254, 115, 284, 125]}, {\"cell\": \"-\", \"bbox\": [333, 115, 337, 125]}, {\"cell\": \"Embolization\", \"bbox\": [371, 115, 416, 125]}, {\"cell\": \"6 months\", \"bbox\": [451, 115, 484, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"67/M\", \"bbox\": [125, 125, 144, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 125, 209, 135]}, {\"cell\": \"Bleeding\", \"bbox\": [254, 125, 284, 135]}, {\"cell\": \"Lungs\", \"bbox\": [325, 125, 345, 135]}, {\"cell\": \"-\", \"bbox\": [399, 125, 404, 135]}, {\"cell\": \"Lost to FU\", \"bbox\": [448, 125, 486, 135]}, {\"cell\": \"Robertson et [8]\", \"bbox\": [4, 135, 63, 145]}, {\"cell\": \"1990\", \"bbox\": [89, 135, 108, 145]}, {\"cell\": \"70/M\", \"bbox\": [125, 135, 144, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [181, 135, 211, 145]}, {\"cell\": \"Bleeding\", \"bbox\": [254, 135, 284, 145]}, {\"cell\": \"Pancreas\", \"bbox\": [319, 135, 351, 145]}, {\"cell\": \"Whipple procedure\", \"bbox\": [371, 135, 408, 154]}, {\"cell\": \"-\", \"bbox\": [465, 135, 470, 145]}, {\"cell\": \"Gastaca et al [9]\", \"bbox\": [4, 155, 61, 165]}, {\"cell\": \"1996\", \"bbox\": [89, 155, 108, 165]}, {\"cell\": \"-\", \"bbox\": [132, 155, 136, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 155, 209, 165]}, {\"cell\": \"-\", \"bbox\": [267, 155, 271, 165]}, {\"cell\": \"-\", \"bbox\": [333, 155, 337, 165]}, {\"cell\": \"Duodenectomy\", \"bbox\": [371, 155, 425, 165]}, {\"cell\": \"-\", \"bbox\": [465, 155, 470, 165]}, {\"cell\": \"Toh et al [10]\", \"bbox\": [4, 165, 53, 175]}, {\"cell\": \"1996\", \"bbox\": [89, 165, 108, 175]}, {\"cell\": \"59/F\", \"bbox\": [126, 165, 142, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 165, 211, 175]}, {\"cell\": \"Obstruction anemia\", \"bbox\": [247, 165, 290, 184]}, {\"cell\": \"-\", \"bbox\": [333, 165, 337, 175]}, {\"cell\": \"Metastatectomy\", \"bbox\": [371, 165, 427, 175]}, {\"cell\": \"Alive (6 months FU)\", \"bbox\": [440, 165, 495, 184]}, {\"cell\": \"Ohmura et al [11]\", \"bbox\": [4, 185, 67, 194]}, {\"cell\": \"2000\", \"bbox\": [89, 185, 108, 194]}, {\"cell\": \"62/M\", \"bbox\": [125, 185, 144, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 185, 208, 194]}, {\"cell\": \"Obstruction\", \"bbox\": [247, 185, 290, 194]}, {\"cell\": \"-\", \"bbox\": [333, 185, 337, 194]}, {\"cell\": \"Embolization- local resection\", \"bbox\": [371, 185, 422, 204]}, {\"cell\": \"-\", \"bbox\": [465, 185, 470, 194]}, {\"cell\": \"Hashimoto et al [12]\", \"bbox\": [4, 204, 76, 214]}, {\"cell\": \"2001\", \"bbox\": [89, 204, 108, 214]}, {\"cell\": \"57/M\", \"bbox\": [125, 204, 144, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [181, 204, 211, 214]}, {\"cell\": \"Bleeding\", \"bbox\": [254, 204, 284, 214]}, {\"cell\": \"Pancreas\", \"bbox\": [319, 204, 351, 214]}, {\"cell\": \"PPPD\", \"bbox\": [371, 204, 392, 214]}, {\"cell\": \"-\", \"bbox\": [465, 204, 470, 214]}, {\"cell\": \"Nabi et al [13]\", \"bbox\": [4, 215, 55, 224]}, {\"cell\": \"2001\", \"bbox\": [89, 215, 108, 224]}, {\"cell\": \"40/M\", \"bbox\": [125, 215, 144, 224]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 215, 209, 224]}, {\"cell\": \"Obstruction\", \"bbox\": [247, 215, 290, 224]}, {\"cell\": \"-\", \"bbox\": [333, 215, 337, 224]}, {\"cell\": \"Gastrojujenostomy\", \"bbox\": [371, 215, 427, 233]}, {\"cell\": \"7 days\", \"bbox\": [456, 215, 479, 224]}, {\"cell\": \"Sawh et al [14]\", \"bbox\": [4, 234, 56, 244]}, {\"cell\": \"2002\", \"bbox\": [89, 234, 108, 244]}, {\"cell\": \"53/M\", \"bbox\": [125, 234, 144, 244]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 234, 209, 244]}, {\"cell\": \"Bleeding\", \"bbox\": [254, 234, 284, 244]}, {\"cell\": \"Brain Anal canal\", \"bbox\": [307, 234, 363, 244]}, {\"cell\": \"Duodenectomy\", \"bbox\": [371, 234, 425, 244]}, {\"cell\": \"Alive (4 years FU)\", \"bbox\": [444, 234, 491, 253]}, {\"cell\": \"Loualidi et al [15]\", \"bbox\": [4, 254, 65, 263]}, {\"cell\": \"2004\", \"bbox\": [89, 254, 108, 263]}, {\"cell\": \"76/M\", \"bbox\": [125, 254, 144, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 254, 209, 263]}, {\"cell\": \"Anemia\", \"bbox\": [255, 254, 283, 263]}, {\"cell\": \"-\", \"bbox\": [333, 254, 337, 263]}, {\"cell\": \"Radiotherapy\", \"bbox\": [371, 254, 417, 263]}, {\"cell\": \"Alive\", \"bbox\": [458, 254, 477, 263]}, {\"cell\": \"Chang et al [16]\", \"bbox\": [4, 264, 60, 273]}, {\"cell\": \"2004\", \"bbox\": [89, 264, 108, 273]}, {\"cell\": \"63/F\", \"bbox\": [126, 264, 142, 273]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 264, 209, 273]}, {\"cell\": \"Bleeding\", \"bbox\": [254, 264, 284, 273]}, {\"cell\": \"-\", \"bbox\": [333, 264, 337, 273]}, {\"cell\": \"Metastatectomy\", \"bbox\": [371, 264, 427, 273]}, {\"cell\": \"-\", \"bbox\": [465, 264, 470, 273]}, {\"cell\": \"George et al [16]\", \"bbox\": [4, 274, 64, 284]}, {\"cell\": \"2004\", \"bbox\": [89, 274, 108, 284]}, {\"cell\": \"65/M\", \"bbox\": [125, 274, 144, 284]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 274, 208, 284]}, {\"cell\": \"Obstruction\", \"bbox\": [247, 274, 290, 284]}, {\"cell\": \"Omentum ileum\", \"bbox\": [307, 274, 363, 284]}, {\"cell\": \"Intestinal Resection\", \"bbox\": [371, 274, 406, 293]}, {\"cell\": \"9 months\", \"bbox\": [451, 274, 484, 284]}, {\"cell\": \"Arroyo [17]\", \"bbox\": [4, 294, 47, 303]}, {\"cell\": \"2005\", \"bbox\": [89, 294, 108, 303]}, {\"cell\": \"-\", \"bbox\": [132, 294, 136, 303]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [193, 294, 198, 303]}, {\"cell\": \"-\", \"bbox\": [267, 294, 271, 303]}, {\"cell\": \"-\", \"bbox\": [333, 294, 337, 303]}, {\"cell\": \"-\", \"bbox\": [399, 294, 403, 303]}, {\"cell\": \"-\", \"bbox\": [465, 294, 470, 303]}, {\"cell\": \"Bhatia et al (current)\", \"bbox\": [4, 304, 76, 313]}, {\"cell\": \"2006\", \"bbox\": [89, 304, 108, 313]}, {\"cell\": \"50/M\", \"bbox\": [125, 304, 144, 313]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [184, 304, 207, 313]}, {\"cell\": \"Jaundice\", \"bbox\": [254, 304, 284, 313]}, {\"cell\": \"Liver\", \"bbox\": [326, 304, 344, 313]}, {\"cell\": \"Diagnostic only\", \"bbox\": [371, 304, 424, 313]}, {\"cell\": \"Lost to FU\", \"bbox\": [448, 304, 486, 313]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC1578589_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
TargetPathogenesis 1Drug (Mode of Action) 2Side Effects 3
GR[EMPTY_CELL]Budesonide (antagonist)Motor activity, piloerection, generalized edema;
CYSLTR1[EMPTY_CELL]Montelukast (antagonist)Headache, abdominal or stomach pain, cough, dental pain, dizziness, fever, heartburn, skin rash, stuffy nose, weakness or unusual tiredness;
CYSLTR1[EMPTY_CELL]Pranlukast (antagonist)Headache, abdominal or stomach pain, cough, dental pain, dizziness, fever, heartburn, skin rash, stuffy nose, weakness or unusual tiredness;
HRH1[EMPTY_CELL]Chloropyramine (antagonist)Agitation and dizziness;
HRH1[EMPTY_CELL]Emedastine (antagonist)Somnolence and malaise;
IL-5[EMPTY_CELL]Mepolizumab (antagonist)Blurred, confusion, cough, difficulty with breathing, dizziness, noisy breathing, sweating, tightness in the chest, swelling, hives, blisters and tiredness;
IL-5[EMPTY_CELL]Reslizumab (antagonist)Allergic reactions, anaphylaxis, cancer, muscle pain;
ADRB2[EMPTY_CELL]Isoetarine (agonist)Tachycardia, palpitations, nausea, headache, and epinephrine-like;
ADRB2[EMPTY_CELL]Salbutamol (agonist)Tremor, hypersensitivity reaction and tachycardia;
\", \"cells\": [{\"cell\": \"Target\", \"bbox\": [20, 5, 47, 16]}, {\"cell\": \"Pathogenesis 1\", \"bbox\": [78, 3, 139, 16]}, {\"cell\": \"Drug (Mode of Action) 2\", \"bbox\": [169, 3, 270, 16]}, {\"cell\": \"Side Effects 3\", \"bbox\": [436, 3, 492, 16]}, {\"cell\": \"GR\", \"bbox\": [26, 21, 41, 30]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [98, 21, 119, 32]}, {\"cell\": \"Budesonide (antagonist)\", \"bbox\": [170, 21, 269, 32]}, {\"cell\": \"Motor activity, piloerection, generalized edema;\", \"bbox\": [293, 21, 484, 32]}, {\"cell\": \"CYSLTR1\", \"bbox\": [14, 38, 53, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [98, 37, 119, 48]}, {\"cell\": \"Montelukast (antagonist)\", \"bbox\": [169, 37, 271, 48]}, {\"cell\": \"Headache, abdominal or stomach pain, cough, dental pain, dizziness, fever, heartburn, skin rash, stuffy nose, weakness or unusual tiredness;\", \"bbox\": [293, 32, 636, 54]}, {\"cell\": \"CYSLTR1\", \"bbox\": [14, 59, 53, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [98, 59, 119, 70]}, {\"cell\": \"Pranlukast (antagonist)\", \"bbox\": [172, 59, 267, 70]}, {\"cell\": \"Headache, abdominal or stomach pain, cough, dental pain, dizziness, fever, heartburn, skin rash, stuffy nose, weakness or unusual tiredness;\", \"bbox\": [293, 54, 636, 76]}, {\"cell\": \"HRH1\", \"bbox\": [20, 76, 47, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [98, 76, 119, 87]}, {\"cell\": \"Chloropyramine (antagonist)\", \"bbox\": [161, 76, 278, 87]}, {\"cell\": \"Agitation and dizziness;\", \"bbox\": [293, 76, 391, 87]}, {\"cell\": \"HRH1\", \"bbox\": [20, 87, 47, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [98, 87, 119, 98]}, {\"cell\": \"Emedastine (antagonist)\", \"bbox\": [170, 87, 269, 98]}, {\"cell\": \"Somnolence and malaise;\", \"bbox\": [293, 87, 395, 98]}, {\"cell\": \"IL-5\", \"bbox\": [25, 103, 42, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [98, 103, 119, 114]}, {\"cell\": \"Mepolizumab (antagonist)\", \"bbox\": [166, 103, 273, 114]}, {\"cell\": \"Blurred, confusion, cough, difficulty with breathing, dizziness, noisy breathing, sweating, tightness in the chest, swelling, hives, blisters and tiredness;\", \"bbox\": [293, 98, 609, 120]}, {\"cell\": \"IL-5\", \"bbox\": [25, 120, 42, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [98, 120, 119, 131]}, {\"cell\": \"Reslizumab (antagonist)\", \"bbox\": [170, 120, 269, 131]}, {\"cell\": \"Allergic reactions, anaphylaxis, cancer, muscle pain;\", \"bbox\": [293, 120, 500, 131]}, {\"cell\": \"ADRB2\", \"bbox\": [18, 131, 49, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [99, 131, 118, 142]}, {\"cell\": \"Isoetarine (agonist)\", \"bbox\": [181, 131, 259, 142]}, {\"cell\": \"Tachycardia, palpitations, nausea, headache, and epinephrine-like;\", \"bbox\": [293, 131, 558, 142]}, {\"cell\": \"ADRB2\", \"bbox\": [18, 142, 49, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [99, 142, 118, 153]}, {\"cell\": \"Salbutamol (agonist)\", \"bbox\": [178, 142, 262, 153]}, {\"cell\": \"Tremor, hypersensitivity reaction and tachycardia;\", \"bbox\": [293, 142, 493, 153]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5977177_011_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariableCategoryN%Non-Plural (N, %)Plural (N, %)P-value
TotalAll126610083866428[EMPTY_CELL][EMPTY_CELL]
SexFemale9337462575308[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Male3332621325120[EMPTY_CELL]0.317
Age18–29252201712181[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]30–395154135142164[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]40–493372721025127[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]50 and above158121031255[EMPTY_CELL]0.319
RaceAfrican12369881998417[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Coloured280219029[EMPTY_CELL]0.860
Marital StatusMarried250201631987[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Living with Partner91749642[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Divorced or Separated1139901123[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Widowed112973939[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Never Married6995546355236[EMPTY_CELL]0.007
EducationNone12610871139[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Primary3132519423119[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Secondary5734538846185[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Matric and above252201672085[EMPTY_CELL]0.317
EmploymentNone9817863976342[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Part-time12410801044[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Full-time158121161442[EMPTY_CELL]0.115
ResidenceRural6124835142261[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Urban6545248758167[EMPTY_CELL]<0.001
Disability GrantNo7335851562218[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Yes5324232238210[EMPTY_CELL]<0.001
Medical AidNo12429882999413[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Yes2202070115[EMPTY_CELL]0.001
Socio-economic StatusQuintile 1 (Poorest)2532014217111[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Quintile 2253201652088[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Quintile 3253201672086[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Quintile 4553201892264[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Quintile 5 (Richest)254201752179[EMPTY_CELL]<0.001
Baseline CD4 countAbove 50 cells9047859177313[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Below 50 cells257221722385[EMPTY_CELL]0.644
\", \"cells\": [{\"cell\": \"Variable\", \"bbox\": [1, 4, 31, 13]}, {\"cell\": \"Category\", \"bbox\": [96, 4, 129, 13]}, {\"cell\": \"N\", \"bbox\": [196, 4, 203, 13]}, {\"cell\": \"%\", \"bbox\": [231, 4, 240, 13]}, {\"cell\": \"Non-Plural (N, %)\", \"bbox\": [274, 4, 336, 13]}, {\"cell\": \"Plural (N, %)\", \"bbox\": [380, 4, 425, 13]}, {\"cell\": \"P-value\", \"bbox\": [457, 4, 484, 13]}, {\"cell\": \"Total\", \"bbox\": [1, 17, 18, 27]}, {\"cell\": \"All\", \"bbox\": [96, 17, 106, 27]}, {\"cell\": \"1266\", \"bbox\": [191, 17, 208, 27]}, {\"cell\": \"100\", \"bbox\": [229, 17, 242, 27]}, {\"cell\": \"838\", \"bbox\": [273, 17, 287, 27]}, {\"cell\": \"66\", \"bbox\": [328, 17, 337, 27]}, {\"cell\": \"428\", \"bbox\": [374, 17, 388, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 17, 430, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Sex\", \"bbox\": [1, 30, 13, 40]}, {\"cell\": \"Female\", \"bbox\": [96, 30, 121, 40]}, {\"cell\": \"933\", \"bbox\": [193, 30, 206, 40]}, {\"cell\": \"74\", \"bbox\": [231, 30, 240, 40]}, {\"cell\": \"625\", \"bbox\": [273, 30, 287, 40]}, {\"cell\": \"75\", \"bbox\": [328, 30, 337, 40]}, {\"cell\": \"308\", \"bbox\": [374, 30, 388, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 30, 430, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Male\", \"bbox\": [96, 43, 113, 53]}, {\"cell\": \"333\", \"bbox\": [193, 43, 206, 53]}, {\"cell\": \"26\", \"bbox\": [231, 43, 240, 53]}, {\"cell\": \"213\", \"bbox\": [273, 43, 287, 53]}, {\"cell\": \"25\", \"bbox\": [328, 43, 337, 53]}, {\"cell\": \"120\", \"bbox\": [374, 43, 388, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 43, 430, 53]}, {\"cell\": \"0.317\", \"bbox\": [461, 43, 480, 53]}, {\"cell\": \"Age\", \"bbox\": [1, 57, 15, 66]}, {\"cell\": \"18–29\", \"bbox\": [96, 57, 117, 66]}, {\"cell\": \"252\", \"bbox\": [193, 57, 206, 66]}, {\"cell\": \"20\", \"bbox\": [231, 57, 240, 66]}, {\"cell\": \"171\", \"bbox\": [273, 57, 287, 66]}, {\"cell\": \"21\", \"bbox\": [328, 57, 337, 66]}, {\"cell\": \"81\", \"bbox\": [376, 57, 386, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 57, 430, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"30–39\", \"bbox\": [96, 70, 117, 79]}, {\"cell\": \"515\", \"bbox\": [193, 70, 206, 79]}, {\"cell\": \"41\", \"bbox\": [231, 70, 240, 79]}, {\"cell\": \"351\", \"bbox\": [273, 70, 287, 79]}, {\"cell\": \"42\", \"bbox\": [328, 70, 337, 79]}, {\"cell\": \"164\", \"bbox\": [374, 70, 388, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 70, 430, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"40–49\", \"bbox\": [96, 83, 117, 92]}, {\"cell\": \"337\", \"bbox\": [193, 83, 206, 92]}, {\"cell\": \"27\", \"bbox\": [231, 83, 240, 92]}, {\"cell\": \"210\", \"bbox\": [273, 83, 287, 92]}, {\"cell\": \"25\", \"bbox\": [328, 83, 337, 92]}, {\"cell\": \"127\", \"bbox\": [374, 83, 388, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 83, 430, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"50 and above\", \"bbox\": [96, 96, 142, 105]}, {\"cell\": \"158\", \"bbox\": [193, 96, 206, 105]}, {\"cell\": \"12\", \"bbox\": [231, 96, 240, 105]}, {\"cell\": \"103\", \"bbox\": [273, 96, 287, 105]}, {\"cell\": \"12\", \"bbox\": [328, 96, 337, 105]}, {\"cell\": \"55\", \"bbox\": [376, 96, 386, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 96, 430, 105]}, {\"cell\": \"0.319\", \"bbox\": [461, 96, 480, 105]}, {\"cell\": \"Race\", \"bbox\": [0, 109, 17, 119]}, {\"cell\": \"African\", \"bbox\": [96, 109, 120, 119]}, {\"cell\": \"1236\", \"bbox\": [191, 109, 208, 119]}, {\"cell\": \"98\", \"bbox\": [231, 109, 240, 119]}, {\"cell\": \"819\", \"bbox\": [273, 109, 287, 119]}, {\"cell\": \"98\", \"bbox\": [328, 109, 337, 119]}, {\"cell\": \"417\", \"bbox\": [374, 109, 388, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 109, 430, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Coloured\", \"bbox\": [96, 122, 127, 132]}, {\"cell\": \"28\", \"bbox\": [195, 122, 204, 132]}, {\"cell\": \"02\", \"bbox\": [231, 122, 240, 132]}, {\"cell\": \"19\", \"bbox\": [275, 122, 285, 132]}, {\"cell\": \"02\", \"bbox\": [328, 122, 337, 132]}, {\"cell\": \"9\", \"bbox\": [378, 122, 384, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 122, 430, 132]}, {\"cell\": \"0.860\", \"bbox\": [461, 122, 480, 132]}, {\"cell\": \"Marital Status\", \"bbox\": [0, 135, 45, 145]}, {\"cell\": \"Married\", \"bbox\": [96, 135, 122, 145]}, {\"cell\": \"250\", \"bbox\": [193, 135, 206, 145]}, {\"cell\": \"20\", \"bbox\": [231, 135, 240, 145]}, {\"cell\": \"163\", \"bbox\": [273, 135, 287, 145]}, {\"cell\": \"19\", \"bbox\": [328, 135, 337, 145]}, {\"cell\": \"87\", \"bbox\": [376, 135, 386, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 135, 430, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Living with Partner\", \"bbox\": [96, 149, 159, 158]}, {\"cell\": \"91\", \"bbox\": [195, 149, 204, 158]}, {\"cell\": \"7\", \"bbox\": [233, 149, 238, 158]}, {\"cell\": \"49\", \"bbox\": [275, 149, 285, 158]}, {\"cell\": \"6\", \"bbox\": [330, 149, 336, 158]}, {\"cell\": \"42\", \"bbox\": [376, 149, 386, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 149, 430, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Divorced or Separated\", \"bbox\": [96, 162, 170, 171]}, {\"cell\": \"113\", \"bbox\": [193, 162, 206, 171]}, {\"cell\": \"9\", \"bbox\": [233, 162, 238, 171]}, {\"cell\": \"90\", \"bbox\": [275, 162, 285, 171]}, {\"cell\": \"11\", \"bbox\": [328, 162, 337, 171]}, {\"cell\": \"23\", \"bbox\": [376, 162, 386, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [422, 162, 428, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Widowed\", \"bbox\": [96, 175, 129, 184]}, {\"cell\": \"112\", \"bbox\": [193, 175, 206, 184]}, {\"cell\": \"9\", \"bbox\": [233, 175, 238, 184]}, {\"cell\": \"73\", \"bbox\": [275, 175, 285, 184]}, {\"cell\": \"9\", \"bbox\": [330, 175, 336, 184]}, {\"cell\": \"39\", \"bbox\": [376, 175, 386, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [422, 175, 428, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Never Married\", \"bbox\": [96, 188, 143, 198]}, {\"cell\": \"699\", \"bbox\": [193, 188, 206, 198]}, {\"cell\": \"55\", \"bbox\": [231, 188, 240, 198]}, {\"cell\": \"463\", \"bbox\": [273, 188, 287, 198]}, {\"cell\": \"55\", \"bbox\": [328, 188, 337, 198]}, {\"cell\": \"236\", \"bbox\": [374, 188, 388, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 188, 430, 198]}, {\"cell\": \"0.007\", \"bbox\": [461, 188, 480, 198]}, {\"cell\": \"Education\", \"bbox\": [0, 201, 34, 211]}, {\"cell\": \"None\", \"bbox\": [96, 201, 115, 211]}, {\"cell\": \"126\", \"bbox\": [193, 201, 206, 211]}, {\"cell\": \"10\", \"bbox\": [231, 201, 240, 211]}, {\"cell\": \"87\", \"bbox\": [275, 201, 285, 211]}, {\"cell\": \"11\", \"bbox\": [328, 201, 337, 211]}, {\"cell\": \"39\", \"bbox\": [376, 201, 386, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 201, 430, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Primary\", \"bbox\": [96, 214, 122, 224]}, {\"cell\": \"313\", \"bbox\": [193, 214, 206, 224]}, {\"cell\": \"25\", \"bbox\": [231, 214, 240, 224]}, {\"cell\": \"194\", \"bbox\": [273, 214, 287, 224]}, {\"cell\": \"23\", \"bbox\": [328, 214, 337, 224]}, {\"cell\": \"119\", \"bbox\": [374, 214, 388, 224]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 214, 430, 224]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Secondary\", \"bbox\": [96, 227, 131, 237]}, {\"cell\": \"573\", \"bbox\": [193, 227, 206, 237]}, {\"cell\": \"45\", \"bbox\": [231, 227, 240, 237]}, {\"cell\": \"388\", \"bbox\": [273, 227, 287, 237]}, {\"cell\": \"46\", \"bbox\": [328, 227, 337, 237]}, {\"cell\": \"185\", \"bbox\": [374, 227, 388, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 227, 430, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Matric and above\", \"bbox\": [96, 241, 154, 250]}, {\"cell\": \"252\", \"bbox\": [193, 241, 206, 250]}, {\"cell\": \"20\", \"bbox\": [231, 241, 240, 250]}, {\"cell\": \"167\", \"bbox\": [273, 241, 287, 250]}, {\"cell\": \"20\", \"bbox\": [328, 241, 337, 250]}, {\"cell\": \"85\", \"bbox\": [376, 241, 386, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 241, 430, 250]}, {\"cell\": \"0.317\", \"bbox\": [461, 241, 480, 250]}, {\"cell\": \"Employment\", \"bbox\": [0, 254, 43, 263]}, {\"cell\": \"None\", \"bbox\": [96, 254, 115, 263]}, {\"cell\": \"981\", \"bbox\": [193, 254, 206, 263]}, {\"cell\": \"78\", \"bbox\": [231, 254, 240, 263]}, {\"cell\": \"639\", \"bbox\": [273, 254, 287, 263]}, {\"cell\": \"76\", \"bbox\": [328, 254, 337, 263]}, {\"cell\": \"342\", \"bbox\": [374, 254, 388, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 254, 430, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Part-time\", \"bbox\": [96, 267, 127, 276]}, {\"cell\": \"124\", \"bbox\": [193, 267, 206, 276]}, {\"cell\": \"10\", \"bbox\": [231, 267, 240, 276]}, {\"cell\": \"80\", \"bbox\": [275, 267, 285, 276]}, {\"cell\": \"10\", \"bbox\": [328, 267, 337, 276]}, {\"cell\": \"44\", \"bbox\": [376, 267, 386, 276]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 267, 430, 276]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Full-time\", \"bbox\": [96, 280, 126, 290]}, {\"cell\": \"158\", \"bbox\": [193, 280, 206, 290]}, {\"cell\": \"12\", \"bbox\": [231, 280, 240, 290]}, {\"cell\": \"116\", \"bbox\": [273, 280, 287, 290]}, {\"cell\": \"14\", \"bbox\": [328, 280, 337, 290]}, {\"cell\": \"42\", \"bbox\": [376, 280, 386, 290]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 280, 430, 290]}, {\"cell\": \"0.115\", \"bbox\": [461, 280, 480, 290]}, {\"cell\": \"Residence\", \"bbox\": [0, 293, 35, 303]}, {\"cell\": \"Rural\", \"bbox\": [96, 293, 114, 303]}, {\"cell\": \"612\", \"bbox\": [193, 293, 206, 303]}, {\"cell\": \"48\", \"bbox\": [231, 293, 240, 303]}, {\"cell\": \"351\", \"bbox\": [273, 293, 287, 303]}, {\"cell\": \"42\", \"bbox\": [328, 293, 337, 303]}, {\"cell\": \"261\", \"bbox\": [374, 293, 388, 303]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 293, 430, 303]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Urban\", \"bbox\": [96, 306, 118, 316]}, {\"cell\": \"654\", \"bbox\": [193, 306, 206, 316]}, {\"cell\": \"52\", \"bbox\": [231, 306, 240, 316]}, {\"cell\": \"487\", \"bbox\": [273, 306, 287, 316]}, {\"cell\": \"58\", \"bbox\": [328, 306, 337, 316]}, {\"cell\": \"167\", \"bbox\": [374, 306, 388, 316]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 306, 430, 316]}, {\"cell\": \"<0.001\", \"bbox\": [459, 306, 482, 316]}, {\"cell\": \"Disability Grant\", \"bbox\": [0, 320, 51, 329]}, {\"cell\": \"No\", \"bbox\": [96, 320, 107, 329]}, {\"cell\": \"733\", \"bbox\": [193, 320, 206, 329]}, {\"cell\": \"58\", \"bbox\": [231, 320, 240, 329]}, {\"cell\": \"515\", \"bbox\": [273, 320, 287, 329]}, {\"cell\": \"62\", \"bbox\": [328, 320, 337, 329]}, {\"cell\": \"218\", \"bbox\": [374, 320, 388, 329]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 320, 430, 329]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Yes\", \"bbox\": [96, 333, 109, 342]}, {\"cell\": \"532\", \"bbox\": [193, 333, 206, 342]}, {\"cell\": \"42\", \"bbox\": [231, 333, 240, 342]}, {\"cell\": \"322\", \"bbox\": [273, 333, 287, 342]}, {\"cell\": \"38\", \"bbox\": [328, 333, 337, 342]}, {\"cell\": \"210\", \"bbox\": [374, 333, 388, 342]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 333, 430, 342]}, {\"cell\": \"<0.001\", \"bbox\": [459, 333, 482, 342]}, {\"cell\": \"Medical Aid\", \"bbox\": [0, 346, 40, 355]}, {\"cell\": \"No\", \"bbox\": [96, 346, 107, 355]}, {\"cell\": \"1242\", \"bbox\": [191, 346, 208, 355]}, {\"cell\": \"98\", \"bbox\": [231, 346, 240, 355]}, {\"cell\": \"829\", \"bbox\": [273, 346, 287, 355]}, {\"cell\": \"99\", \"bbox\": [328, 346, 337, 355]}, {\"cell\": \"413\", \"bbox\": [374, 346, 388, 355]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 346, 430, 355]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Yes\", \"bbox\": [96, 359, 109, 368]}, {\"cell\": \"22\", \"bbox\": [195, 359, 204, 368]}, {\"cell\": \"02\", \"bbox\": [231, 359, 240, 368]}, {\"cell\": \"07\", \"bbox\": [275, 359, 285, 368]}, {\"cell\": \"01\", \"bbox\": [328, 359, 337, 368]}, {\"cell\": \"15\", \"bbox\": [376, 359, 386, 368]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 359, 430, 368]}, {\"cell\": \"0.001\", \"bbox\": [461, 359, 480, 368]}, {\"cell\": \"Socio-economic Status\", \"bbox\": [0, 372, 75, 382]}, {\"cell\": \"Quintile 1 (Poorest)\", \"bbox\": [96, 372, 160, 382]}, {\"cell\": \"253\", \"bbox\": [193, 372, 206, 382]}, {\"cell\": \"20\", \"bbox\": [231, 372, 240, 382]}, {\"cell\": \"142\", \"bbox\": [273, 372, 287, 382]}, {\"cell\": \"17\", \"bbox\": [328, 372, 337, 382]}, {\"cell\": \"111\", \"bbox\": [374, 372, 388, 382]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 372, 430, 382]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Quintile 2\", \"bbox\": [96, 385, 129, 395]}, {\"cell\": \"253\", \"bbox\": [193, 385, 206, 395]}, {\"cell\": \"20\", \"bbox\": [231, 385, 240, 395]}, {\"cell\": \"165\", \"bbox\": [273, 385, 287, 395]}, {\"cell\": \"20\", \"bbox\": [328, 385, 337, 395]}, {\"cell\": \"88\", \"bbox\": [376, 385, 386, 395]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 385, 430, 395]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Quintile 3\", \"bbox\": [96, 398, 129, 408]}, {\"cell\": \"253\", \"bbox\": [193, 398, 206, 408]}, {\"cell\": \"20\", \"bbox\": [231, 398, 240, 408]}, {\"cell\": \"167\", \"bbox\": [273, 398, 287, 408]}, {\"cell\": \"20\", \"bbox\": [328, 398, 337, 408]}, {\"cell\": \"86\", \"bbox\": [376, 398, 386, 408]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 398, 430, 408]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Quintile 4\", \"bbox\": [96, 412, 129, 421]}, {\"cell\": \"553\", \"bbox\": [193, 412, 206, 421]}, {\"cell\": \"20\", \"bbox\": [231, 412, 240, 421]}, {\"cell\": \"189\", \"bbox\": [273, 412, 287, 421]}, {\"cell\": \"22\", \"bbox\": [328, 412, 337, 421]}, {\"cell\": \"64\", \"bbox\": [376, 412, 386, 421]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 412, 430, 421]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Quintile 5 (Richest)\", \"bbox\": [96, 425, 158, 434]}, {\"cell\": \"254\", \"bbox\": [193, 425, 206, 434]}, {\"cell\": \"20\", \"bbox\": [231, 425, 240, 434]}, {\"cell\": \"175\", \"bbox\": [273, 425, 287, 434]}, {\"cell\": \"21\", \"bbox\": [328, 425, 337, 434]}, {\"cell\": \"79\", \"bbox\": [376, 425, 386, 434]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 425, 430, 434]}, {\"cell\": \"<0.001\", \"bbox\": [459, 425, 482, 434]}, {\"cell\": \"Baseline CD4 count\", \"bbox\": [0, 438, 65, 447]}, {\"cell\": \"Above 50 cells\", \"bbox\": [96, 438, 145, 447]}, {\"cell\": \"904\", \"bbox\": [193, 438, 206, 447]}, {\"cell\": \"78\", \"bbox\": [231, 438, 240, 447]}, {\"cell\": \"591\", \"bbox\": [273, 438, 287, 447]}, {\"cell\": \"77\", \"bbox\": [328, 438, 337, 447]}, {\"cell\": \"313\", \"bbox\": [374, 438, 388, 447]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 438, 430, 447]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Below 50 cells\", \"bbox\": [96, 451, 144, 461]}, {\"cell\": \"257\", \"bbox\": [193, 451, 206, 461]}, {\"cell\": \"22\", \"bbox\": [231, 451, 240, 461]}, {\"cell\": \"172\", \"bbox\": [273, 451, 287, 461]}, {\"cell\": \"23\", \"bbox\": [328, 451, 337, 461]}, {\"cell\": \"85\", \"bbox\": [376, 451, 386, 461]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 451, 430, 461]}, {\"cell\": \"0.644\", \"bbox\": [461, 451, 480, 461]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3465179_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Tissue68Ga pPET18FDG-PET
(n= 8)(n=13)
[EMPTY_CELL]5.50 ± 0.96 (n=8)7.61 ± 1.53 (n=10)
[EMPTY_CELL]0.63 ± 0.191.21 ± 0,20
[EMPTY_CELL]0.95 ± 0.152.26 ± 0.33
[EMPTY_CELL]1.88 ± 0.376.57 ± 0.77
[EMPTY_CELL]0.30 ± 0.104.99 ± 0.52
[EMPTY_CELL]0.75 ± 0.145.77 ± 0.50
[EMPTY_CELL]0.35 ± 0.145.93 ± 1.78
[EMPTY_CELL]0.47 ± 0.074.52 ± 0.37
[EMPTY_CELL]0.72 ± 0.253.08 ± 0.17
[EMPTY_CELL]0.15 ± 0.065.74 ± 0.49
[EMPTY_CELL]0.28 ± 0.0861.57 ± 10.53
[EMPTY_CELL]0.32 ± 0.093.85 ± 0.40
[EMPTY_CELL]0.43 ± 0.123.43 ± 0.45
\", \"cells\": [{\"cell\": \"Tissue\", \"bbox\": [4, 14, 33, 25]}, {\"cell\": \"68Ga pPET\", \"bbox\": [226, 5, 274, 16]}, {\"cell\": \"18FDG-PET\", \"bbox\": [390, 5, 442, 16]}, {\"cell\": \"(n= 8)\", \"bbox\": [236, 22, 264, 33]}, {\"cell\": \"(n=13)\", \"bbox\": [401, 22, 431, 33]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 40, 32, 51]}, {\"cell\": \"5.50 ± 0.96 (n=8)\", \"bbox\": [214, 40, 286, 51]}, {\"cell\": \"7.61 ± 1.53 (n=10)\", \"bbox\": [377, 40, 454, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 56, 35, 68]}, {\"cell\": \"0.63 ± 0.19\", \"bbox\": [226, 57, 274, 68]}, {\"cell\": \"1.21 ± 0,20\", \"bbox\": [392, 57, 439, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 73, 35, 85]}, {\"cell\": \"0.95 ± 0.15\", \"bbox\": [226, 74, 274, 85]}, {\"cell\": \"2.26 ± 0.33\", \"bbox\": [392, 74, 439, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 90, 46, 102]}, {\"cell\": \"1.88 ± 0.37\", \"bbox\": [226, 91, 274, 102]}, {\"cell\": \"6.57 ± 0.77\", \"bbox\": [392, 91, 439, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 107, 51, 119]}, {\"cell\": \"0.30 ± 0.10\", \"bbox\": [226, 108, 274, 119]}, {\"cell\": \"4.99 ± 0.52\", \"bbox\": [392, 108, 439, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 124, 38, 136]}, {\"cell\": \"0.75 ± 0.14\", \"bbox\": [226, 124, 274, 136]}, {\"cell\": \"5.77 ± 0.50\", \"bbox\": [392, 124, 439, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 141, 46, 152]}, {\"cell\": \"0.35 ± 0.14\", \"bbox\": [226, 141, 274, 152]}, {\"cell\": \"5.93 ± 1.78\", \"bbox\": [392, 141, 439, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 158, 44, 169]}, {\"cell\": \"0.47 ± 0.07\", \"bbox\": [226, 158, 274, 169]}, {\"cell\": \"4.52 ± 0.37\", \"bbox\": [392, 158, 439, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 175, 35, 186]}, {\"cell\": \"0.72 ± 0.25\", \"bbox\": [226, 175, 274, 186]}, {\"cell\": \"3.08 ± 0.17\", \"bbox\": [392, 175, 439, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 192, 39, 203]}, {\"cell\": \"0.15 ± 0.06\", \"bbox\": [226, 192, 274, 203]}, {\"cell\": \"5.74 ± 0.49\", \"bbox\": [392, 192, 439, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 209, 39, 220]}, {\"cell\": \"0.28 ± 0.08\", \"bbox\": [226, 209, 274, 220]}, {\"cell\": \"61.57 ± 10.53\", \"bbox\": [387, 209, 444, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 226, 38, 237]}, {\"cell\": \"0.32 ± 0.09\", \"bbox\": [226, 226, 274, 237]}, {\"cell\": \"3.85 ± 0.40\", \"bbox\": [392, 226, 439, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 243, 52, 254]}, {\"cell\": \"0.43 ± 0.12\", \"bbox\": [226, 243, 274, 254]}, {\"cell\": \"3.43 ± 0.45\", \"bbox\": [392, 243, 439, 254]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC6007947_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariableCases (n)Proportion of cases (p)Adjusted odds ratioaPAF (95% CrI)b
For children 0–4 years old: Other household member having contact with animals other than household pets[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
No[EMPTY_CELL]0.549Ref-
Yes[EMPTY_CELL]0.4514.0316.82 (9.0–23.7)
Cattle livestock present in meshblock[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
No[EMPTY_CELL]0.655Ref-
Yes[EMPTY_CELL]0.3451.8918.20 (0.6–29.4)
Contact with animal manure[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
No[EMPTY_CELL]0.660Ref-
Yes[EMPTY_CELL]0.3402.0917.47 (4.4–27.7)
Contact with recreational waters[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
No[EMPTY_CELL]0.866Ref-
Yes[EMPTY_CELL]0.1342.959.41 (2.7–16.5)
Travelled to areas in NZ with interrupted or no main water supply
No[EMPTY_CELL]0.865Ref-
Yes[EMPTY_CELL]0.1352.438.17 (0.7–15.7)
Water supply to home from private bore/spring/creek/or stream
No[EMPTY_CELL]0.802Ref-
Yes[EMPTY_CELL]0.1981.859.46 (-2.5–18.8)
\", \"cells\": [{\"cell\": \"Variable\", \"bbox\": [1, 4, 31, 13]}, {\"cell\": \"Cases (n)\", \"bbox\": [284, 4, 317, 13]}, {\"cell\": \"Proportion of cases (p)\", \"bbox\": [328, 4, 369, 22]}, {\"cell\": \"Adjusted odds ratioa\", \"bbox\": [380, 4, 421, 22]}, {\"cell\": \"PAF (95% CrI)b\", \"bbox\": [431, 2, 484, 13]}, {\"cell\": \"For children 0–4 years old: Other household member having contact with animals other than household pets\", \"bbox\": [1, 26, 267, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" No\", \"bbox\": [8, 49, 20, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [308, 49, 317, 59]}, {\"cell\": \"0.549\", \"bbox\": [351, 49, 369, 59]}, {\"cell\": \"Ref\", \"bbox\": [409, 49, 421, 59]}, {\"cell\": \"-\", \"bbox\": [480, 49, 484, 59]}, {\"cell\": \" Yes\", \"bbox\": [8, 63, 21, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [308, 63, 317, 73]}, {\"cell\": \"0.451\", \"bbox\": [351, 63, 369, 73]}, {\"cell\": \"4.03\", \"bbox\": [406, 63, 421, 73]}, {\"cell\": \"16.82 (9.0–23.7)\", \"bbox\": [433, 63, 484, 73]}, {\"cell\": \"Cattle livestock present in meshblock\", \"bbox\": [1, 77, 122, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" No\", \"bbox\": [8, 91, 20, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [308, 91, 317, 101]}, {\"cell\": \"0.655\", \"bbox\": [351, 91, 369, 101]}, {\"cell\": \"Ref\", \"bbox\": [409, 91, 421, 101]}, {\"cell\": \"-\", \"bbox\": [480, 91, 484, 101]}, {\"cell\": \" Yes\", \"bbox\": [8, 105, 21, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [308, 105, 317, 115]}, {\"cell\": \"0.345\", \"bbox\": [351, 105, 369, 115]}, {\"cell\": \"1.89\", \"bbox\": [406, 105, 421, 115]}, {\"cell\": \"18.20 (0.6–29.4)\", \"bbox\": [433, 105, 484, 115]}, {\"cell\": \"Contact with animal manure\", \"bbox\": [1, 119, 94, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" No\", \"bbox\": [8, 133, 20, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [308, 133, 317, 143]}, {\"cell\": \"0.660\", \"bbox\": [351, 133, 369, 143]}, {\"cell\": \"Ref\", \"bbox\": [409, 133, 421, 143]}, {\"cell\": \"-\", \"bbox\": [480, 133, 484, 143]}, {\"cell\": \" Yes\", \"bbox\": [8, 147, 21, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [308, 147, 317, 157]}, {\"cell\": \"0.340\", \"bbox\": [351, 147, 369, 157]}, {\"cell\": \"2.09\", \"bbox\": [406, 147, 421, 157]}, {\"cell\": \"17.47 (4.4–27.7)\", \"bbox\": [433, 147, 484, 157]}, {\"cell\": \"Contact with recreational waters\", \"bbox\": [1, 161, 107, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" No\", \"bbox\": [8, 175, 20, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [308, 175, 317, 185]}, {\"cell\": \"0.866\", \"bbox\": [351, 175, 369, 185]}, {\"cell\": \"Ref\", \"bbox\": [409, 175, 421, 185]}, {\"cell\": \"-\", \"bbox\": [480, 175, 484, 185]}, {\"cell\": \" Yes\", \"bbox\": [8, 189, 21, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [308, 189, 317, 199]}, {\"cell\": \"0.134\", \"bbox\": [351, 189, 369, 199]}, {\"cell\": \"2.95\", \"bbox\": [406, 189, 421, 199]}, {\"cell\": \"9.41 (2.7–16.5)\", \"bbox\": [437, 189, 484, 199]}, {\"cell\": \"Travelled to areas in NZ with interrupted or no main water supply\", \"bbox\": [1, 203, 215, 213]}, {\"cell\": \" No\", \"bbox\": [8, 217, 20, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [308, 217, 317, 227]}, {\"cell\": \"0.865\", \"bbox\": [351, 217, 369, 227]}, {\"cell\": \"Ref\", \"bbox\": [409, 217, 421, 227]}, {\"cell\": \"-\", \"bbox\": [480, 217, 484, 227]}, {\"cell\": \" Yes\", \"bbox\": [8, 231, 21, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [308, 231, 317, 241]}, {\"cell\": \"0.135\", \"bbox\": [351, 231, 369, 241]}, {\"cell\": \"2.43\", \"bbox\": [406, 231, 421, 241]}, {\"cell\": \"8.17 (0.7–15.7)\", \"bbox\": [437, 231, 484, 241]}, {\"cell\": \"Water supply to home from private bore/spring/creek/or stream\", \"bbox\": [1, 245, 209, 255]}, {\"cell\": \" No\", \"bbox\": [8, 259, 20, 269]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [308, 259, 317, 269]}, {\"cell\": \"0.802\", \"bbox\": [351, 259, 369, 269]}, {\"cell\": \"Ref\", \"bbox\": [409, 259, 421, 269]}, {\"cell\": \"-\", \"bbox\": [480, 259, 484, 269]}, {\"cell\": \" Yes\", \"bbox\": [8, 273, 21, 283]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [308, 273, 317, 283]}, {\"cell\": \"0.198\", \"bbox\": [351, 273, 369, 283]}, {\"cell\": \"1.85\", \"bbox\": [406, 273, 421, 283]}, {\"cell\": \"9.46 (-2.5–18.8)\", \"bbox\": [433, 273, 484, 283]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3854066_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
CharacteristicsSLE (n = 63)Control (n = 33)
Age, median (range), years[EMPTY_CELL]45 (24 to 79)
Female, %[EMPTY_CELL]85
Male, %[EMPTY_CELL]15
Disease duration, median (range), years[EMPTY_CELL]-
SLEDAI score, median (range)[EMPTY_CELL]-
Seizure[EMPTY_CELL]-
Psychosis[EMPTY_CELL]-
Organic brain syndrome[EMPTY_CELL]-
Visual disturbance[EMPTY_CELL]-
Cranial nerve disorder[EMPTY_CELL]-
Lupus headache[EMPTY_CELL]-
Cerebrovascular accident[EMPTY_CELL]-
Vasculitis[EMPTY_CELL]-
Arthritis[EMPTY_CELL]-
Myositis[EMPTY_CELL]-
Kidney involvement (urinary cast, hematuria, proteinuria or pyuria)[EMPTY_CELL]-
Mucocutaneous activity (rash, alopecia or mucosal ulcers)[EMPTY_CELL]-
Pleurisy[EMPTY_CELL]-
Pericarditis[EMPTY_CELL]-
Low complement (C3 or C4)[EMPTY_CELL]-
Anti-DNA antibodies[EMPTY_CELL]-
Fever[EMPTY_CELL]-
Thrombocytopenia[EMPTY_CELL]-
Leukopenia[EMPTY_CELL]-
\", \"cells\": [{\"cell\": \"Characteristics\", \"bbox\": [1, 4, 52, 13]}, {\"cell\": \"SLE (n = 63)\", \"bbox\": [120, 4, 164, 13]}, {\"cell\": \"Control (n = 33)\", \"bbox\": [175, 4, 233, 13]}, {\"cell\": \"Age, median (range), years\", \"bbox\": [1, 17, 96, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [120, 17, 164, 26]}, {\"cell\": \"45 (24 to 79)\", \"bbox\": [182, 17, 226, 26]}, {\"cell\": \"Female, %\", \"bbox\": [1, 29, 38, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [137, 29, 147, 38]}, {\"cell\": \"85\", \"bbox\": [199, 29, 209, 38]}, {\"cell\": \"Male, %\", \"bbox\": [1, 41, 30, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 41, 145, 50]}, {\"cell\": \"15\", \"bbox\": [199, 41, 209, 50]}, {\"cell\": \"Disease duration, median (range), years\", \"bbox\": [1, 53, 91, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 53, 160, 62]}, {\"cell\": \"-\", \"bbox\": [202, 53, 206, 62]}, {\"cell\": \"SLEDAI score, median (range)\", \"bbox\": [1, 74, 105, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 74, 160, 83]}, {\"cell\": \"-\", \"bbox\": [202, 74, 206, 83]}, {\"cell\": \"Seizure\", \"bbox\": [1, 86, 28, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 86, 145, 95]}, {\"cell\": \"-\", \"bbox\": [202, 86, 206, 95]}, {\"cell\": \"Psychosis\", \"bbox\": [1, 98, 35, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 98, 145, 107]}, {\"cell\": \"-\", \"bbox\": [202, 98, 206, 107]}, {\"cell\": \"Organic brain syndrome\", \"bbox\": [1, 110, 87, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 110, 145, 119]}, {\"cell\": \"-\", \"bbox\": [202, 110, 206, 119]}, {\"cell\": \"Visual disturbance\", \"bbox\": [1, 122, 66, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 122, 145, 131]}, {\"cell\": \"-\", \"bbox\": [202, 122, 206, 131]}, {\"cell\": \"Cranial nerve disorder\", \"bbox\": [1, 134, 80, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 134, 145, 143]}, {\"cell\": \"-\", \"bbox\": [202, 134, 206, 143]}, {\"cell\": \"Lupus headache\", \"bbox\": [1, 146, 59, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 146, 145, 154]}, {\"cell\": \"-\", \"bbox\": [202, 146, 206, 154]}, {\"cell\": \"Cerebrovascular accident\", \"bbox\": [1, 158, 90, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 158, 145, 166]}, {\"cell\": \"-\", \"bbox\": [202, 158, 206, 166]}, {\"cell\": \"Vasculitis\", \"bbox\": [1, 170, 35, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 170, 145, 178]}, {\"cell\": \"-\", \"bbox\": [202, 170, 206, 178]}, {\"cell\": \"Arthritis\", \"bbox\": [1, 182, 30, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 182, 145, 190]}, {\"cell\": \"-\", \"bbox\": [202, 182, 206, 190]}, {\"cell\": \"Myositis\", \"bbox\": [1, 194, 31, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 194, 145, 202]}, {\"cell\": \"-\", \"bbox\": [202, 194, 206, 202]}, {\"cell\": \"Kidney involvement (urinary cast, hematuria, proteinuria or pyuria)\", \"bbox\": [1, 206, 109, 233]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [137, 206, 147, 214]}, {\"cell\": \"-\", \"bbox\": [202, 206, 206, 214]}, {\"cell\": \"Mucocutaneous activity (rash, alopecia or mucosal ulcers)\", \"bbox\": [1, 235, 106, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [137, 236, 147, 244]}, {\"cell\": \"-\", \"bbox\": [202, 236, 206, 244]}, {\"cell\": \"Pleurisy\", \"bbox\": [1, 256, 30, 266]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 256, 145, 265]}, {\"cell\": \"-\", \"bbox\": [202, 256, 206, 265]}, {\"cell\": \"Pericarditis\", \"bbox\": [1, 268, 41, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 268, 145, 277]}, {\"cell\": \"-\", \"bbox\": [202, 268, 206, 277]}, {\"cell\": \"Low complement (C3 or C4)\", \"bbox\": [1, 280, 100, 290]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [137, 280, 147, 289]}, {\"cell\": \"-\", \"bbox\": [202, 280, 206, 289]}, {\"cell\": \"Anti-DNA antibodies\", \"bbox\": [1, 292, 74, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [137, 292, 147, 301]}, {\"cell\": \"-\", \"bbox\": [202, 292, 206, 301]}, {\"cell\": \"Fever\", \"bbox\": [1, 304, 21, 314]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 304, 145, 313]}, {\"cell\": \"-\", \"bbox\": [202, 304, 206, 313]}, {\"cell\": \"Thrombocytopenia\", \"bbox\": [1, 316, 68, 326]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 316, 145, 325]}, {\"cell\": \"-\", \"bbox\": [202, 316, 206, 325]}, {\"cell\": \"Leukopenia\", \"bbox\": [1, 328, 42, 338]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 328, 145, 337]}, {\"cell\": \"-\", \"bbox\": [202, 328, 206, 337]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3132055_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
No.AgeGenderPositionPathologySample use
[EMPTY_CELL]3 months 8 daysMaleLeft axillaIHRNA-seq
[EMPTY_CELL]7 months 5 daysFemaleHeadIHRNA-seq
[EMPTY_CELL]12 monthsFemaleLeft AbdomenIHRNA-seq
[EMPTY_CELL]9 monthsFemaleRight thoracic wallIHqRT-PCR
[EMPTY_CELL]5 monthsMaleThoracic wallIHqRT-PCR
[EMPTY_CELL]6 months 9 daysFemaleOcciputIHqRT-PCR
[EMPTY_CELL]8 months 13 daysFemaleRight posterior neckIHqRT-PCR
[EMPTY_CELL]10 monthsFemaleLeft abdomenIHqRT-PCR
[EMPTY_CELL]4 monthsFemaleRight thoracic wallIHqRT-PCR
[EMPTY_CELL]11 monthsMaleThoracic wallIHqRT-PCR
[EMPTY_CELL]8 months 21 daysFemaleOcciputIHqRT-PCR
[EMPTY_CELL]5 months 12 daysFemaleHeadIHqRT-PCR
\", \"cells\": [{\"cell\": \"No.\", \"bbox\": [5, 2, 21, 17]}, {\"cell\": \"Age\", \"bbox\": [89, 5, 108, 16]}, {\"cell\": \"Gender\", \"bbox\": [166, 2, 201, 17]}, {\"cell\": \"Position\", \"bbox\": [258, 2, 294, 17]}, {\"cell\": \"Pathology\", \"bbox\": [348, 2, 393, 17]}, {\"cell\": \"Sample use\", \"bbox\": [431, 2, 481, 17]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 22, 12, 33]}, {\"cell\": \"3 months 8 days\", \"bbox\": [65, 19, 132, 34]}, {\"cell\": \"Male\", \"bbox\": [172, 22, 195, 33]}, {\"cell\": \"Left axilla\", \"bbox\": [254, 19, 298, 34]}, {\"cell\": \"IH\", \"bbox\": [364, 22, 377, 33]}, {\"cell\": \"RNA-seq\", \"bbox\": [436, 22, 476, 33]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 36, 12, 52]}, {\"cell\": \"7 months 5 days\", \"bbox\": [65, 40, 132, 51]}, {\"cell\": \"Female\", \"bbox\": [168, 40, 199, 51]}, {\"cell\": \"Head\", \"bbox\": [265, 40, 288, 51]}, {\"cell\": \"IH\", \"bbox\": [364, 40, 377, 51]}, {\"cell\": \"RNA-seq\", \"bbox\": [436, 40, 476, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 54, 12, 69]}, {\"cell\": \"12 months\", \"bbox\": [76, 54, 120, 69]}, {\"cell\": \"Female\", \"bbox\": [168, 57, 199, 68]}, {\"cell\": \"Left Abdomen\", \"bbox\": [246, 54, 306, 69]}, {\"cell\": \"IH\", \"bbox\": [364, 57, 377, 68]}, {\"cell\": \"RNA-seq\", \"bbox\": [436, 57, 476, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 75, 12, 86]}, {\"cell\": \"9 months\", \"bbox\": [79, 75, 118, 86]}, {\"cell\": \"Female\", \"bbox\": [168, 75, 199, 86]}, {\"cell\": \"Right thoracic wall\", \"bbox\": [237, 75, 315, 86]}, {\"cell\": \"IH\", \"bbox\": [364, 75, 377, 86]}, {\"cell\": \"qRT-PCR\", \"bbox\": [436, 75, 477, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 92, 12, 103]}, {\"cell\": \"5 months\", \"bbox\": [79, 92, 118, 103]}, {\"cell\": \"Male\", \"bbox\": [172, 92, 195, 103]}, {\"cell\": \"Thoracic wall\", \"bbox\": [247, 92, 305, 103]}, {\"cell\": \"IH\", \"bbox\": [364, 92, 377, 103]}, {\"cell\": \"qRT-PCR\", \"bbox\": [436, 92, 477, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 107, 12, 118]}, {\"cell\": \"6 months 9 days\", \"bbox\": [65, 107, 132, 118]}, {\"cell\": \"Female\", \"bbox\": [168, 107, 199, 118]}, {\"cell\": \"Occiput\", \"bbox\": [259, 107, 293, 118]}, {\"cell\": \"IH\", \"bbox\": [364, 107, 377, 118]}, {\"cell\": \"qRT-PCR\", \"bbox\": [436, 107, 477, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 122, 12, 133]}, {\"cell\": \"8 months 13 days\", \"bbox\": [62, 119, 134, 134]}, {\"cell\": \"Female\", \"bbox\": [168, 122, 199, 133]}, {\"cell\": \"Right posterior neck\", \"bbox\": [234, 119, 318, 134]}, {\"cell\": \"IH\", \"bbox\": [364, 122, 377, 133]}, {\"cell\": \"qRT-PCR\", \"bbox\": [436, 122, 476, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 137, 12, 148]}, {\"cell\": \"10 months\", \"bbox\": [76, 137, 120, 148]}, {\"cell\": \"Female\", \"bbox\": [168, 137, 199, 148]}, {\"cell\": \"Left abdomen\", \"bbox\": [247, 134, 305, 149]}, {\"cell\": \"IH\", \"bbox\": [364, 137, 377, 148]}, {\"cell\": \"qRT-PCR\", \"bbox\": [436, 137, 476, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 152, 12, 163]}, {\"cell\": \"4 months\", \"bbox\": [79, 152, 118, 163]}, {\"cell\": \"Female\", \"bbox\": [168, 152, 199, 163]}, {\"cell\": \"Right thoracic wall\", \"bbox\": [237, 152, 315, 163]}, {\"cell\": \"IH\", \"bbox\": [364, 152, 377, 163]}, {\"cell\": \"qRT-PCR\", \"bbox\": [436, 152, 477, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 167, 17, 178]}, {\"cell\": \"11 months\", \"bbox\": [76, 167, 120, 178]}, {\"cell\": \"Male\", \"bbox\": [172, 167, 195, 178]}, {\"cell\": \"Thoracic wall\", \"bbox\": [247, 167, 305, 178]}, {\"cell\": \"IH\", \"bbox\": [364, 167, 377, 178]}, {\"cell\": \"qRT-PCR\", \"bbox\": [436, 167, 477, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 182, 16, 193]}, {\"cell\": \"8 months 21 days\", \"bbox\": [62, 178, 134, 194]}, {\"cell\": \"Female\", \"bbox\": [168, 182, 199, 193]}, {\"cell\": \"Occiput\", \"bbox\": [259, 182, 293, 193]}, {\"cell\": \"IH\", \"bbox\": [364, 182, 377, 193]}, {\"cell\": \"qRT-PCR\", \"bbox\": [436, 182, 476, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 193, 17, 208]}, {\"cell\": \"5 months 12 days\", \"bbox\": [62, 193, 134, 208]}, {\"cell\": \"Female\", \"bbox\": [168, 196, 199, 208]}, {\"cell\": \"Head\", \"bbox\": [265, 196, 288, 208]}, {\"cell\": \"IH\", \"bbox\": [364, 196, 377, 208]}, {\"cell\": \"qRT-PCR\", \"bbox\": [436, 196, 476, 208]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5844720_010_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Tertile 1Tertile 2pTertile 3pp for trend
C-Peptide (ng/mL)[EMPTY_CELL]−2.19 (−8.35 to 4.40)0.505−6.10 (−12.61 to 0.91)0.0860.083
Ghrelin (pg/mL)[EMPTY_CELL]1.69 (−8.58 to 13.11)0.758−15.00 (−24.49 to −4.32)0.0070.003
GIP (pg/mL)[EMPTY_CELL]0.08 (−10.17 to 11.49)0.989−12.94 (−22.75 to −1.89)0.0230.014
GLP-1 (ng/mL)[EMPTY_CELL]0.21 (−12.99 to 15.42)0.977−17.64 (−29.67 to −3.56)0.0160.009
IL-6 (pg/ml)[EMPTY_CELL]−4.50 (−18.17 to 11.46)0.559−27.89 (−39.20 to −14.48)<0.001<0.001
Leptin (ng/mL)[EMPTY_CELL]−7.79 (−15.61 to 0.76)0.073−10.26 (−18.62 to −1.03)0.0300.044
PAI-1 (ng/mL)[EMPTY_CELL]−3.06 (−10.65 to 5.17)0.454−3.24 (−11.61 to 5.93)0.4760.529
Resistin (ng/mL)[EMPTY_CELL]−2.43 (−11.03 to 7.01)0.601−6.66 (−15.71 to 3.35)0.1840.180
TNF (pg/mL)[EMPTY_CELL]−3.96 (−20.47 to 15.98)0.674−26.89 (−40.65 to −9.94)0.0030.002
Visfatin (ng/mL)[EMPTY_CELL]−8.08 (−24.73 to 12.24)0.408−24.90 (−39.86 to −6.22)0.0120.010
Adiponectin (μg/mL)[EMPTY_CELL]−3.27 (−19.20 to 15.79)0.716−7.34 (−23.98 to 12.93)0.4490.452
Adipsin (μg/mL)[EMPTY_CELL]−2.45 (−15.37 to 12.45)0.732−7.39 (−20.90 to 8.44)0.3400.332
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Tertile 1\", \"bbox\": [97, 4, 128, 13]}, {\"cell\": \"Tertile 2\", \"bbox\": [173, 4, 204, 13]}, {\"cell\": \"p\", \"bbox\": [255, 4, 262, 13]}, {\"cell\": \"Tertile 3\", \"bbox\": [318, 4, 348, 13]}, {\"cell\": \"p\", \"bbox\": [406, 4, 413, 13]}, {\"cell\": \"p for trend\", \"bbox\": [444, 4, 484, 13]}, {\"cell\": \"C-Peptide (ng/mL)\", \"bbox\": [1, 17, 66, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 17, 119, 26]}, {\"cell\": \"−2.19 (−8.35 to 4.40)\", \"bbox\": [154, 17, 222, 26]}, {\"cell\": \"0.505\", \"bbox\": [249, 17, 268, 26]}, {\"cell\": \"−6.10 (−12.61 to 0.91)\", \"bbox\": [297, 17, 369, 26]}, {\"cell\": \"0.086\", \"bbox\": [400, 17, 419, 26]}, {\"cell\": \"0.083\", \"bbox\": [455, 17, 474, 26]}, {\"cell\": \"Ghrelin (pg/mL)\", \"bbox\": [1, 30, 57, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 30, 119, 39]}, {\"cell\": \"1.69 (−8.58 to 13.11)\", \"bbox\": [155, 30, 222, 39]}, {\"cell\": \"0.758\", \"bbox\": [249, 30, 268, 39]}, {\"cell\": \"−15.00 (−24.49 to −4.32)\", \"bbox\": [293, 30, 373, 39]}, {\"cell\": \"0.007\", \"bbox\": [400, 30, 419, 39]}, {\"cell\": \"0.003\", \"bbox\": [455, 30, 474, 39]}, {\"cell\": \"GIP (pg/mL)\", \"bbox\": [1, 43, 44, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 43, 119, 52]}, {\"cell\": \"0.08 (−10.17 to 11.49)\", \"bbox\": [153, 43, 224, 52]}, {\"cell\": \"0.989\", \"bbox\": [249, 43, 268, 52]}, {\"cell\": \"−12.94 (−22.75 to −1.89)\", \"bbox\": [293, 43, 373, 52]}, {\"cell\": \"0.023\", \"bbox\": [400, 43, 419, 52]}, {\"cell\": \"0.014\", \"bbox\": [455, 43, 474, 52]}, {\"cell\": \"GLP-1 (ng/mL)\", \"bbox\": [1, 57, 52, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 57, 119, 65]}, {\"cell\": \"0.21 (−12.99 to 15.42)\", \"bbox\": [153, 57, 224, 65]}, {\"cell\": \"0.977\", \"bbox\": [249, 57, 268, 65]}, {\"cell\": \"−17.64 (−29.67 to −3.56)\", \"bbox\": [293, 57, 373, 65]}, {\"cell\": \"0.016\", \"bbox\": [400, 57, 419, 65]}, {\"cell\": \"0.009\", \"bbox\": [455, 57, 474, 65]}, {\"cell\": \"IL-6 (pg/ml)\", \"bbox\": [1, 70, 43, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 70, 119, 78]}, {\"cell\": \"−4.50 (−18.17 to 11.46)\", \"bbox\": [151, 70, 226, 78]}, {\"cell\": \"0.559\", \"bbox\": [249, 70, 268, 78]}, {\"cell\": \"−27.89 (−39.20 to −14.48)\", \"bbox\": [291, 70, 375, 78]}, {\"cell\": \"<0.001\", \"bbox\": [398, 70, 421, 78]}, {\"cell\": \"<0.001\", \"bbox\": [453, 70, 476, 78]}, {\"cell\": \"Leptin (ng/mL)\", \"bbox\": [1, 83, 54, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 83, 119, 92]}, {\"cell\": \"−7.79 (−15.61 to 0.76)\", \"bbox\": [153, 83, 224, 92]}, {\"cell\": \"0.073\", \"bbox\": [249, 83, 268, 92]}, {\"cell\": \"−10.26 (−18.62 to −1.03)\", \"bbox\": [293, 83, 373, 92]}, {\"cell\": \"0.030\", \"bbox\": [400, 83, 419, 92]}, {\"cell\": \"0.044\", \"bbox\": [455, 83, 474, 92]}, {\"cell\": \"PAI-1 (ng/mL)\", \"bbox\": [1, 96, 50, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 96, 119, 105]}, {\"cell\": \"−3.06 (−10.65 to 5.17)\", \"bbox\": [153, 96, 224, 105]}, {\"cell\": \"0.454\", \"bbox\": [249, 96, 268, 105]}, {\"cell\": \"−3.24 (−11.61 to 5.93)\", \"bbox\": [297, 96, 369, 105]}, {\"cell\": \"0.476\", \"bbox\": [400, 96, 419, 105]}, {\"cell\": \"0.529\", \"bbox\": [455, 96, 474, 105]}, {\"cell\": \"Resistin (ng/mL)\", \"bbox\": [1, 109, 58, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 109, 119, 118]}, {\"cell\": \"−2.43 (−11.03 to 7.01)\", \"bbox\": [153, 109, 224, 118]}, {\"cell\": \"0.601\", \"bbox\": [249, 109, 268, 118]}, {\"cell\": \"−6.66 (−15.71 to 3.35)\", \"bbox\": [297, 109, 369, 118]}, {\"cell\": \"0.184\", \"bbox\": [400, 109, 419, 118]}, {\"cell\": \"0.180\", \"bbox\": [455, 109, 474, 118]}, {\"cell\": \"TNF (pg/mL)\", \"bbox\": [1, 122, 46, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 122, 119, 131]}, {\"cell\": \"−3.96 (−20.47 to 15.98)\", \"bbox\": [151, 122, 226, 131]}, {\"cell\": \"0.674\", \"bbox\": [249, 122, 268, 131]}, {\"cell\": \"−26.89 (−40.65 to −9.94)\", \"bbox\": [293, 122, 373, 131]}, {\"cell\": \"0.003\", \"bbox\": [400, 122, 419, 131]}, {\"cell\": \"0.002\", \"bbox\": [455, 122, 474, 131]}, {\"cell\": \"Visfatin (ng/mL)\", \"bbox\": [1, 135, 58, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 135, 119, 144]}, {\"cell\": \"−8.08 (−24.73 to 12.24)\", \"bbox\": [151, 135, 226, 144]}, {\"cell\": \"0.408\", \"bbox\": [249, 135, 268, 144]}, {\"cell\": \"−24.90 (−39.86 to −6.22)\", \"bbox\": [293, 135, 373, 144]}, {\"cell\": \"0.012\", \"bbox\": [400, 135, 419, 144]}, {\"cell\": \"0.010\", \"bbox\": [455, 135, 474, 144]}, {\"cell\": \"Adiponectin (μg/mL)\", \"bbox\": [1, 149, 74, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 149, 119, 157]}, {\"cell\": \"−3.27 (−19.20 to 15.79)\", \"bbox\": [151, 149, 226, 157]}, {\"cell\": \"0.716\", \"bbox\": [249, 149, 268, 157]}, {\"cell\": \"−7.34 (−23.98 to 12.93)\", \"bbox\": [295, 149, 371, 157]}, {\"cell\": \"0.449\", \"bbox\": [400, 149, 419, 157]}, {\"cell\": \"0.452\", \"bbox\": [455, 149, 474, 157]}, {\"cell\": \"Adipsin (μg/mL)\", \"bbox\": [1, 162, 58, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 162, 119, 170]}, {\"cell\": \"−2.45 (−15.37 to 12.45)\", \"bbox\": [151, 162, 226, 170]}, {\"cell\": \"0.732\", \"bbox\": [249, 162, 268, 170]}, {\"cell\": \"−7.39 (−20.90 to 8.44)\", \"bbox\": [297, 162, 369, 170]}, {\"cell\": \"0.340\", \"bbox\": [400, 162, 419, 170]}, {\"cell\": \"0.332\", \"bbox\": [455, 162, 474, 170]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3558443_006_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL][EMPTY_CELL]MSDRange
[EMPTY_CELL]
[EMPTY_CELL]Original (n = 32)168.6112.229.43–463.2
[EMPTY_CELL]Imputed (N = 43)170.799.11[EMPTY_CELL]
[EMPTY_CELL]Original (n = 37)166102.317.39–387.4
[EMPTY_CELL]Imputed (N = 43)171.596.39[EMPTY_CELL]
[EMPTY_CELL]Original (n = 35)170.6102.812.77–410.4
[EMPTY_CELL]Imputed (N = 43)171.993.06[EMPTY_CELL]
[EMPTY_CELL]Original (n = 29)162.510836.7–440.2
[EMPTY_CELL]Imputed (N = 43)15793.62[EMPTY_CELL]
[EMPTY_CELL]Original (n = 36)434.15295.79100.24–1120.54
[EMPTY_CELL]Imputed (N = 43)336.15170.56[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]47.71–723.26
[EMPTY_CELL]Original (n = 34)4.2730.00−75.58–66.62
[EMPTY_CELL]Imputed (N = 43)0.2230.29−80.46–66.62
[EMPTY_CELL]
[EMPTY_CELL]Original (n = 26)169.5132.635.13–503
[EMPTY_CELL]Imputed (N = 43)185109.6[EMPTY_CELL]
[EMPTY_CELL]Original (n = 30)193.9119.329.72–485.1
[EMPTY_CELL]Imputed (N = 43)202.4104.5[EMPTY_CELL]
[EMPTY_CELL]Original (n = 28)182.1116.811.5–441
[EMPTY_CELL]Imputed (N = 43)177.6100.4[EMPTY_CELL]
[EMPTY_CELL]Original (n = 22)159.576.0952.04–320
[EMPTY_CELL]Imputed (N = 43)16161.76[EMPTY_CELL]
[EMPTY_CELL]Original (n = 26)447.67291.42123.43–1277.42
[EMPTY_CELL]Imputed (N = 43)359.36158.79[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]94.71–808.60
[EMPTY_CELL]Original (n = 24)−7.7954.19−163.59–63.32
[EMPTY_CELL]Imputed (N = 43)−12.4049.68−163.59–80.72
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"M\", \"bbox\": [120, 6, 128, 14]}, {\"cell\": \"SD\", \"bbox\": [161, 6, 173, 14]}, {\"cell\": \"Range\", \"bbox\": [208, 6, 232, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 23, 44, 32]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 35, 15, 43]}, {\"cell\": \"Original (n = 32)\", \"bbox\": [40, 35, 89, 43]}, {\"cell\": \"168.6\", \"bbox\": [111, 35, 131, 43]}, {\"cell\": \"112.2\", \"bbox\": [155, 35, 175, 43]}, {\"cell\": \"29.43–463.2\", \"bbox\": [203, 35, 243, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Imputed (N = 43)\", \"bbox\": [40, 46, 93, 55]}, {\"cell\": \"170.7\", \"bbox\": [111, 46, 131, 55]}, {\"cell\": \"99.11\", \"bbox\": [155, 46, 175, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 57, 15, 66]}, {\"cell\": \"Original (n = 37)\", \"bbox\": [40, 57, 89, 66]}, {\"cell\": \"166\", \"bbox\": [111, 57, 125, 66]}, {\"cell\": \"102.3\", \"bbox\": [155, 57, 175, 66]}, {\"cell\": \"17.39–387.4\", \"bbox\": [203, 57, 243, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Imputed (N = 43)\", \"bbox\": [40, 69, 93, 77]}, {\"cell\": \"171.5\", \"bbox\": [111, 69, 131, 77]}, {\"cell\": \"96.39\", \"bbox\": [155, 69, 175, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 80, 15, 89]}, {\"cell\": \"Original (n = 35)\", \"bbox\": [40, 80, 89, 89]}, {\"cell\": \"170.6\", \"bbox\": [111, 80, 131, 89]}, {\"cell\": \"102.8\", \"bbox\": [155, 80, 175, 89]}, {\"cell\": \"12.77–410.4\", \"bbox\": [203, 80, 243, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Imputed (N = 43)\", \"bbox\": [40, 92, 93, 100]}, {\"cell\": \"171.9\", \"bbox\": [111, 92, 131, 100]}, {\"cell\": \"93.06\", \"bbox\": [155, 92, 175, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 103, 15, 111]}, {\"cell\": \"Original (n = 29)\", \"bbox\": [40, 103, 89, 111]}, {\"cell\": \"162.5\", \"bbox\": [111, 103, 131, 111]}, {\"cell\": \"108\", \"bbox\": [155, 103, 169, 111]}, {\"cell\": \"36.7–440.2\", \"bbox\": [205, 103, 241, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Imputed (N = 43)\", \"bbox\": [40, 114, 93, 123]}, {\"cell\": \"157\", \"bbox\": [111, 114, 125, 123]}, {\"cell\": \"93.62\", \"bbox\": [155, 114, 175, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 126, 21, 135]}, {\"cell\": \"Original (n = 36)\", \"bbox\": [40, 126, 89, 134]}, {\"cell\": \"434.15\", \"bbox\": [111, 126, 135, 134]}, {\"cell\": \"295.79\", \"bbox\": [155, 126, 178, 134]}, {\"cell\": \"100.24–1120.54\", \"bbox\": [197, 126, 249, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Imputed (N = 43)\", \"bbox\": [40, 137, 93, 146]}, {\"cell\": \"336.15\", \"bbox\": [111, 137, 135, 146]}, {\"cell\": \"170.56\", \"bbox\": [155, 137, 178, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"47.71–723.26\", \"bbox\": [201, 148, 245, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 160, 18, 169]}, {\"cell\": \"Original (n = 34)\", \"bbox\": [40, 160, 89, 168]}, {\"cell\": \"4.27\", \"bbox\": [111, 160, 127, 168]}, {\"cell\": \"30.00\", \"bbox\": [155, 160, 175, 168]}, {\"cell\": \"−75.58–66.62\", \"bbox\": [200, 160, 246, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Imputed (N = 43)\", \"bbox\": [40, 171, 93, 180]}, {\"cell\": \"0.22\", \"bbox\": [111, 171, 127, 180]}, {\"cell\": \"30.29\", \"bbox\": [155, 171, 175, 180]}, {\"cell\": \"−80.46–66.62\", \"bbox\": [200, 171, 246, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 182, 33, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 194, 15, 202]}, {\"cell\": \"Original (n = 26)\", \"bbox\": [40, 194, 89, 202]}, {\"cell\": \"169.5\", \"bbox\": [111, 194, 131, 202]}, {\"cell\": \"132.6\", \"bbox\": [155, 194, 175, 202]}, {\"cell\": \"35.13–503\", \"bbox\": [206, 194, 240, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Imputed (N = 43)\", \"bbox\": [40, 205, 93, 214]}, {\"cell\": \"185\", \"bbox\": [111, 205, 125, 214]}, {\"cell\": \"109.6\", \"bbox\": [155, 205, 175, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 216, 15, 225]}, {\"cell\": \"Original (n = 30)\", \"bbox\": [40, 216, 89, 225]}, {\"cell\": \"193.9\", \"bbox\": [111, 216, 131, 225]}, {\"cell\": \"119.3\", \"bbox\": [155, 216, 175, 225]}, {\"cell\": \"29.72–485.1\", \"bbox\": [203, 216, 243, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Imputed (N = 43)\", \"bbox\": [40, 228, 93, 236]}, {\"cell\": \"202.4\", \"bbox\": [111, 228, 131, 236]}, {\"cell\": \"104.5\", \"bbox\": [155, 228, 175, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 239, 15, 248]}, {\"cell\": \"Original (n = 28)\", \"bbox\": [40, 239, 89, 248]}, {\"cell\": \"182.1\", \"bbox\": [111, 239, 131, 248]}, {\"cell\": \"116.8\", \"bbox\": [155, 239, 175, 248]}, {\"cell\": \"11.5–441\", \"bbox\": [208, 239, 239, 248]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Imputed (N = 43)\", \"bbox\": [40, 251, 93, 259]}, {\"cell\": \"177.6\", \"bbox\": [111, 251, 131, 259]}, {\"cell\": \"100.4\", \"bbox\": [155, 251, 175, 259]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 262, 15, 270]}, {\"cell\": \"Original (n = 22)\", \"bbox\": [40, 262, 89, 270]}, {\"cell\": \"159.5\", \"bbox\": [111, 262, 131, 270]}, {\"cell\": \"76.09\", \"bbox\": [155, 262, 175, 270]}, {\"cell\": \"52.04–320\", \"bbox\": [206, 262, 240, 270]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Imputed (N = 43)\", \"bbox\": [40, 273, 93, 282]}, {\"cell\": \"161\", \"bbox\": [111, 273, 125, 282]}, {\"cell\": \"61.76\", \"bbox\": [155, 273, 175, 282]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 285, 21, 294]}, {\"cell\": \"Original (n = 26)\", \"bbox\": [40, 285, 89, 293]}, {\"cell\": \"447.67\", \"bbox\": [111, 285, 135, 293]}, {\"cell\": \"291.42\", \"bbox\": [155, 285, 178, 293]}, {\"cell\": \"123.43–1277.42\", \"bbox\": [197, 285, 249, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Imputed (N = 43)\", \"bbox\": [40, 296, 93, 305]}, {\"cell\": \"359.36\", \"bbox\": [111, 296, 135, 305]}, {\"cell\": \"158.79\", \"bbox\": [155, 296, 178, 305]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"94.71–808.60\", \"bbox\": [201, 307, 245, 316]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 319, 18, 328]}, {\"cell\": \"Original (n = 24)\", \"bbox\": [40, 319, 89, 327]}, {\"cell\": \"−7.79\", \"bbox\": [111, 319, 132, 327]}, {\"cell\": \"54.19\", \"bbox\": [155, 319, 175, 327]}, {\"cell\": \"−163.59–63.32\", \"bbox\": [198, 319, 248, 327]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Imputed (N = 43)\", \"bbox\": [40, 330, 93, 339]}, {\"cell\": \"−12.40\", \"bbox\": [111, 330, 136, 339]}, {\"cell\": \"49.68\", \"bbox\": [155, 330, 175, 339]}, {\"cell\": \"−163.59–80.72\", \"bbox\": [198, 330, 248, 339]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC6026809_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Exposed workers (n = 106)Control (unexposed) group (n = 106)p
Mean age (±SD)29.51 ± 0.5630.91 ± 0.78[EMPTY_CELL]
Number of females25 (23.6%)17 (16.0%)[EMPTY_CELL]
Number of males81 (76.4%)89 (84.0%)[EMPTY_CELL]
Smoker54 (50.9%)52 (49.1%)[EMPTY_CELL]
Non-smoker and ex-smoker52 (49.1%)54 (50.9%)[EMPTY_CELL]
Cigarette (per-day)6.44 ± 0.796.71 ± 0.84[EMPTY_CELL]
Employment duration (months)65.39 ± 55.6975.53 ± 73.63[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Exposed workers (n = 106)\", \"bbox\": [169, 6, 252, 33]}, {\"cell\": \"Control (unexposed) group (n = 106)\", \"bbox\": [268, 6, 366, 33]}, {\"cell\": \"p\", \"bbox\": [399, 14, 407, 25]}, {\"cell\": \"Mean age (±SD)\", \"bbox\": [7, 37, 82, 49]}, {\"cell\": \"29.51 ± 0.56\", \"bbox\": [182, 37, 240, 49]}, {\"cell\": \"30.91 ± 0.78\", \"bbox\": [288, 37, 346, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [395, 37, 411, 49]}, {\"cell\": \"Number of females\", \"bbox\": [7, 51, 93, 63]}, {\"cell\": \"25 (23.6%)\", \"bbox\": [185, 51, 237, 63]}, {\"cell\": \"17 (16.0%)\", \"bbox\": [291, 51, 343, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [395, 51, 411, 63]}, {\"cell\": \"Number of males\", \"bbox\": [7, 67, 85, 79]}, {\"cell\": \"81 (76.4%)\", \"bbox\": [185, 67, 237, 79]}, {\"cell\": \"89 (84.0%)\", \"bbox\": [291, 67, 343, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [395, 67, 411, 79]}, {\"cell\": \"Smoker\", \"bbox\": [7, 81, 42, 93]}, {\"cell\": \"54 (50.9%)\", \"bbox\": [185, 81, 237, 93]}, {\"cell\": \"52 (49.1%)\", \"bbox\": [291, 81, 343, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [395, 81, 411, 93]}, {\"cell\": \"Non-smoker and ex-smoker\", \"bbox\": [7, 97, 131, 109]}, {\"cell\": \"52 (49.1%)\", \"bbox\": [185, 97, 237, 109]}, {\"cell\": \"54 (50.9%)\", \"bbox\": [291, 97, 343, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [395, 97, 411, 109]}, {\"cell\": \"Cigarette (per-day)\", \"bbox\": [7, 111, 92, 123]}, {\"cell\": \"6.44 ± 0.79\", \"bbox\": [185, 111, 237, 123]}, {\"cell\": \"6.71 ± 0.84\", \"bbox\": [291, 111, 343, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [395, 111, 411, 123]}, {\"cell\": \"Employment duration (months)\", \"bbox\": [7, 127, 147, 139]}, {\"cell\": \"65.39 ± 55.69\", \"bbox\": [179, 127, 242, 139]}, {\"cell\": \"75.53 ± 73.63\", \"bbox\": [285, 127, 349, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [395, 127, 411, 139]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3366600_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Citation no.PatientsNDose (mg/day)WeeksMean ∆ in TG (%)Mean ∆ in HDL-C (%)
[EMPTY_CELL]
[EMPTY_CELL]Japanese patients with atherogenic dyslipidaemiaa224Pemafibrate12[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]↓30.9 ± 6.9***↑11.9 ± 2.8***
[EMPTY_CELL]↓36.4 ± 6.6***↑16.5 ± 2.7***
[EMPTY_CELL]↓42.6 ± 6.7***↑16.3 ± 2.8***
[EMPTY_CELL]↓42.7 ± 6.7***↑21.0 ± 2.8***
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]↓29.7 ± 6.7↑14.3 ± 2.8
[EMPTY_CELL]↑28.5 ± 6.8↓2.3 ± 2.8
[EMPTY_CELL]Japanese patients with atherogenic dyslipidaemiaa526Pemafibrate12[EMPTY_CELL]↑20.3–24.7
[EMPTY_CELL]↓46.3***[EMPTY_CELL]
[EMPTY_CELL]↓46.7***[EMPTY_CELL]
[EMPTY_CELL]↓51.8***[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]↑17.2–26.5
[EMPTY_CELL]↓38.3***[EMPTY_CELL]
[EMPTY_CELL]↓51.5***[EMPTY_CELL]
[EMPTY_CELL]↓2.7[EMPTY_CELL]
[EMPTY_CELL]
[EMPTY_CELL]Japanese patients with TG ≥ 2.3 mmol/L423Pemafibrate24[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]↓46.8 ± 2.6***↑17.6 ± 17.2***
[EMPTY_CELL]↓50.8 ± 2.5***↑16.3 ± 14.6***
[EMPTY_CELL]↓0.8 ± 3.0↑4.4 ± 12.7
[EMPTY_CELL]Add-on to pitavastatin Japanese patients with TG ≥ 2.3 mmol/L, non-HDL-C ≥ 3.9 mmol/L188Pemafibrate12[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]↓46.1 ± 3.9***↑13.6 ± 15.4**
[EMPTY_CELL]↓53.4 ± 3.8***↑19.7 ± 19.4***
[EMPTY_CELL]↓52.0 ± 3.9***↑12.7 ± 19.3*
[EMPTY_CELL]↓6.9 ± 4.0↑3.4 ± 12.5
[EMPTY_CELL]T2DM and dyslipidemia Japanese patients with TG ≥ 1.7 and < 11.3 mmol/L167Pemafibrate24[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]↓44.3***
[EMPTY_CELL]↓45.1***
[EMPTY_CELL]↓10.8***
[EMPTY_CELL]Caucasian patients, controlled LDL-C and atherogenic dyslipidaemiab408Pemafibrate12↓34.0–54.4***↑7.4–12.9***
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Caucasian type 2 diabetes patients with controlled LDL-C and atherogenic dyslipidaemiab161dPemafibrate12↓44.7–67.4***NR
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Citation no.\", \"bbox\": [1, 4, 42, 14]}, {\"cell\": \"Patients\", \"bbox\": [48, 4, 78, 14]}, {\"cell\": \"N\", \"bbox\": [239, 4, 246, 14]}, {\"cell\": \"Dose (mg/day)\", \"bbox\": [260, 4, 313, 14]}, {\"cell\": \"Weeks\", \"bbox\": [317, 4, 342, 14]}, {\"cell\": \"Mean ∆ in TG (%)\", \"bbox\": [346, 4, 406, 14]}, {\"cell\": \"Mean ∆ in HDL-C (%)\", \"bbox\": [411, 4, 484, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 22, 46, 32]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 34, 19, 44]}, {\"cell\": \"Japanese patients with atherogenic dyslipidaemiaa\", \"bbox\": [48, 33, 212, 44]}, {\"cell\": \"224\", \"bbox\": [242, 34, 256, 44]}, {\"cell\": \"Pemafibrate\", \"bbox\": [260, 34, 301, 44]}, {\"cell\": \"12\", \"bbox\": [317, 34, 327, 44]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 46, 275, 56]}, {\"cell\": \"↓30.9 ± 6.9***\", \"bbox\": [346, 46, 395, 56]}, {\"cell\": \"↑11.9 ± 2.8***\", \"bbox\": [411, 46, 459, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 58, 271, 68]}, {\"cell\": \"↓36.4 ± 6.6***\", \"bbox\": [346, 58, 395, 68]}, {\"cell\": \"↑16.5 ± 2.7***\", \"bbox\": [411, 58, 459, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 71, 271, 80]}, {\"cell\": \"↓42.6 ± 6.7***\", \"bbox\": [346, 71, 395, 80]}, {\"cell\": \"↑16.3 ± 2.8***\", \"bbox\": [411, 71, 459, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 83, 271, 92]}, {\"cell\": \"↓42.7 ± 6.7***\", \"bbox\": [346, 83, 395, 92]}, {\"cell\": \"↑21.0 ± 2.8***\", \"bbox\": [411, 83, 459, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 95, 299, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 107, 274, 116]}, {\"cell\": \"↓29.7 ± 6.7\", \"bbox\": [346, 107, 385, 116]}, {\"cell\": \"↑14.3 ± 2.8\", \"bbox\": [411, 107, 450, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 119, 288, 128]}, {\"cell\": \"↑28.5 ± 6.8\", \"bbox\": [346, 119, 385, 128]}, {\"cell\": \"↓2.3 ± 2.8\", \"bbox\": [411, 119, 446, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 131, 19, 141]}, {\"cell\": \"Japanese patients with atherogenic dyslipidaemiaa\", \"bbox\": [48, 130, 212, 141]}, {\"cell\": \"526\", \"bbox\": [242, 131, 256, 141]}, {\"cell\": \"Pemafibrate\", \"bbox\": [260, 131, 301, 141]}, {\"cell\": \"12\", \"bbox\": [317, 131, 327, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"↑20.3–24.7\", \"bbox\": [411, 131, 448, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 143, 271, 153]}, {\"cell\": \"↓46.3***\", \"bbox\": [346, 143, 376, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 155, 271, 165]}, {\"cell\": \"↓46.7***\", \"bbox\": [346, 155, 376, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 167, 271, 177]}, {\"cell\": \"↓51.8***\", \"bbox\": [346, 167, 376, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 179, 299, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"↑17.2–26.5\", \"bbox\": [411, 179, 448, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 192, 274, 201]}, {\"cell\": \"↓38.3***\", \"bbox\": [346, 192, 376, 201]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 204, 274, 213]}, {\"cell\": \"↓51.5***\", \"bbox\": [346, 204, 376, 213]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 216, 288, 225]}, {\"cell\": \"↓2.7\", \"bbox\": [346, 216, 362, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 228, 55, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 240, 19, 249]}, {\"cell\": \"Japanese patients with TG ≥ 2.3 mmol/L\", \"bbox\": [48, 240, 179, 249]}, {\"cell\": \"423\", \"bbox\": [242, 240, 256, 249]}, {\"cell\": \"Pemafibrate\", \"bbox\": [260, 240, 301, 249]}, {\"cell\": \"24\", \"bbox\": [317, 240, 327, 249]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 252, 271, 262]}, {\"cell\": \"↓46.8 ± 2.6***\", \"bbox\": [346, 252, 395, 262]}, {\"cell\": \"↑17.6 ± 17.2***\", \"bbox\": [411, 252, 463, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 263, 286, 274]}, {\"cell\": \"↓50.8 ± 2.5***\", \"bbox\": [346, 264, 395, 274]}, {\"cell\": \"↑16.3 ± 14.6***\", \"bbox\": [411, 264, 463, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 276, 288, 286]}, {\"cell\": \"↓0.8 ± 3.0\", \"bbox\": [346, 276, 381, 286]}, {\"cell\": \"↑4.4 ± 12.7\", \"bbox\": [411, 276, 450, 286]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 288, 19, 298]}, {\"cell\": \"Add-on to pitavastatin Japanese patients with TG ≥ 2.3 mmol/L, non-HDL-C ≥ 3.9 mmol/L\", \"bbox\": [48, 288, 207, 307]}, {\"cell\": \"188\", \"bbox\": [242, 288, 256, 298]}, {\"cell\": \"Pemafibrate\", \"bbox\": [260, 288, 301, 298]}, {\"cell\": \"12\", \"bbox\": [317, 288, 327, 298]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 300, 271, 310]}, {\"cell\": \"↓46.1 ± 3.9***\", \"bbox\": [346, 300, 395, 310]}, {\"cell\": \"↑13.6 ± 15.4**\", \"bbox\": [411, 300, 460, 310]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 313, 271, 322]}, {\"cell\": \"↓53.4 ± 3.8***\", \"bbox\": [346, 313, 395, 322]}, {\"cell\": \"↑19.7 ± 19.4***\", \"bbox\": [411, 313, 463, 322]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 325, 271, 334]}, {\"cell\": \"↓52.0 ± 3.9***\", \"bbox\": [346, 325, 395, 334]}, {\"cell\": \"↑12.7 ± 19.3*\", \"bbox\": [411, 325, 457, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 337, 288, 346]}, {\"cell\": \"↓6.9 ± 4.0\", \"bbox\": [346, 337, 381, 346]}, {\"cell\": \"↑3.4 ± 12.5\", \"bbox\": [411, 337, 450, 346]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 349, 19, 358]}, {\"cell\": \"T2DM and dyslipidemia Japanese patients with TG ≥ 1.7 and < 11.3 mmol/L\", \"bbox\": [48, 349, 229, 367]}, {\"cell\": \"167\", \"bbox\": [242, 349, 256, 358]}, {\"cell\": \"Pemafibrate\", \"bbox\": [260, 349, 301, 358]}, {\"cell\": \"24\", \"bbox\": [317, 349, 327, 358]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 361, 271, 370]}, {\"cell\": \"↓44.3***\", \"bbox\": [346, 361, 376, 370]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 373, 271, 383]}, {\"cell\": \"↓45.1***\", \"bbox\": [346, 373, 376, 383]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 385, 288, 395]}, {\"cell\": \"↓10.8***\", \"bbox\": [346, 385, 376, 395]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 397, 19, 407]}, {\"cell\": \"Caucasian patients, controlled LDL-C and atherogenic dyslipidaemiab\", \"bbox\": [48, 397, 221, 416]}, {\"cell\": \"408\", \"bbox\": [242, 397, 256, 407]}, {\"cell\": \"Pemafibrate\", \"bbox\": [260, 397, 301, 407]}, {\"cell\": \"12\", \"bbox\": [317, 397, 327, 407]}, {\"cell\": \"↓34.0–54.4***\", \"bbox\": [346, 397, 393, 407]}, {\"cell\": \"↑7.4–12.9***\", \"bbox\": [411, 397, 454, 407]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 409, 303, 419]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 422, 19, 431]}, {\"cell\": \"Caucasian type 2 diabetes patients with controlled LDL-C and atherogenic dyslipidaemiab\", \"bbox\": [49, 422, 232, 440]}, {\"cell\": \"161d\", \"bbox\": [239, 420, 256, 431]}, {\"cell\": \"Pemafibrate\", \"bbox\": [260, 421, 301, 431]}, {\"cell\": \"12\", \"bbox\": [323, 422, 333, 431]}, {\"cell\": \"↓44.7–67.4***\", \"bbox\": [346, 421, 393, 431]}, {\"cell\": \"NR\", \"bbox\": [411, 421, 422, 431]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 434, 303, 443]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5628452_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
CharacteristicsNonprogressors (n = 21)Progressors (n = 46)
Gender, male (%)14 (67)[EMPTY_CELL]
Age, years40.1 (1.1)[EMPTY_CELL]
BMI, kg/m222.9 (0.2)[EMPTY_CELL]
Systolic blood pressure, mm Hg119.9 (2.7)[EMPTY_CELL]
Diastolic blood pressure, mm Hg79.6 (1.4)[EMPTY_CELL]
Smoking, n (%)13 (62)[EMPTY_CELL]
TDF-FTC-based therapy, n (%)7 (33)[EMPTY_CELL]
CD4+ T cell count, cells/μL463.2 (46.1)[EMPTY_CELL]
Total cholesterol, mmol/L4.79 (0.3)[EMPTY_CELL]
HDL cholesterol, mmol/L1.18 (0.2)[EMPTY_CELL]
LDL cholesterol, mmol/L2.66 (0.3)[EMPTY_CELL]
Triglycerides, mmol/L2.48 (0.3)[EMPTY_CELL]
Glucose, mmol/L5.40 (0.4)[EMPTY_CELL]
Delta IMT, mm−0.05 (0.01)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \" Characteristics\", \"bbox\": [2, 9, 58, 19]}, {\"cell\": \"Nonprogressors (n = 21)\", \"bbox\": [125, 4, 184, 25]}, {\"cell\": \"Progressors (n = 46)\", \"bbox\": [194, 4, 237, 25]}, {\"cell\": \"Gender, male (%)\", \"bbox\": [2, 28, 69, 38]}, {\"cell\": \"14 (67)\", \"bbox\": [141, 28, 168, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [202, 28, 230, 38]}, {\"cell\": \"Age, years\", \"bbox\": [2, 41, 40, 51]}, {\"cell\": \"40.1 (1.1)\", \"bbox\": [136, 41, 173, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [197, 41, 234, 51]}, {\"cell\": \"BMI, kg/m2\", \"bbox\": [2, 53, 47, 64]}, {\"cell\": \"22.9 (0.2)\", \"bbox\": [136, 54, 173, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [197, 54, 234, 64]}, {\"cell\": \"Systolic blood pressure, mm Hg\", \"bbox\": [2, 67, 118, 77]}, {\"cell\": \"119.9 (2.7)\", \"bbox\": [134, 67, 175, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [195, 67, 236, 77]}, {\"cell\": \"Diastolic blood pressure, mm Hg\", \"bbox\": [2, 80, 123, 90]}, {\"cell\": \"79.6 (1.4)\", \"bbox\": [136, 80, 173, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [197, 80, 234, 90]}, {\"cell\": \"Smoking, n (%)\", \"bbox\": [2, 93, 62, 103]}, {\"cell\": \"13 (62)\", \"bbox\": [140, 93, 168, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [202, 93, 230, 103]}, {\"cell\": \"TDF-FTC-based therapy, n (%)\", \"bbox\": [2, 106, 117, 116]}, {\"cell\": \"7 (33)\", \"bbox\": [143, 106, 166, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 106, 232, 116]}, {\"cell\": \"CD4+ T cell count, cells/μL\", \"bbox\": [2, 118, 101, 129]}, {\"cell\": \"463.2 (46.1)\", \"bbox\": [132, 119, 177, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [193, 119, 238, 129]}, {\"cell\": \"Total cholesterol, mmol/L\", \"bbox\": [2, 132, 97, 142]}, {\"cell\": \"4.79 (0.3)\", \"bbox\": [136, 132, 173, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [197, 132, 234, 142]}, {\"cell\": \"HDL cholesterol, mmol/L\", \"bbox\": [2, 145, 97, 155]}, {\"cell\": \"1.18 (0.2)\", \"bbox\": [136, 145, 173, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [197, 145, 234, 155]}, {\"cell\": \"LDL cholesterol, mmol/L\", \"bbox\": [2, 158, 95, 168]}, {\"cell\": \"2.66 (0.3)\", \"bbox\": [136, 158, 173, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [197, 158, 234, 168]}, {\"cell\": \"Triglycerides, mmol/L\", \"bbox\": [2, 171, 83, 181]}, {\"cell\": \"2.48 (0.3)\", \"bbox\": [136, 171, 173, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [197, 171, 234, 181]}, {\"cell\": \"Glucose, mmol/L\", \"bbox\": [2, 184, 67, 194]}, {\"cell\": \"5.40 (0.4)\", \"bbox\": [136, 184, 173, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [197, 184, 234, 194]}, {\"cell\": \"Delta IMT, mm\", \"bbox\": [2, 197, 60, 207]}, {\"cell\": \"−0.05 (0.01)\", \"bbox\": [131, 197, 178, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [193, 197, 238, 207]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3356719_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
ParticipantGenderAgeCAG repeat lengthCAG age product (CAP)Caudate volume (%ICV)Montreal Cognitive Assessment (MOCA)UHDRS
Total Motor Score (TMS)Diagnostic ConfidenceScore (DCS)Total Functional Capacity (TFC)
1F4346110[EMPTY_CELL]2214413
2F564089[EMPTY_CELL]304312
3F4644104[EMPTY_CELL]2616411
4F683998[EMPTY_CELL]2711412
5M4845115[EMPTY_CELL]2913412
6F5942112[EMPTY_CELL]2812413
7F614097[EMPTY_CELL]275113
8F434176[EMPTY_CELL]280013
9M4844108[EMPTY_CELL]2317412
10M394381[EMPTY_CELL]298313
\", \"cells\": [{\"cell\": \"Participant\", \"bbox\": [5, 31, 43, 40]}, {\"cell\": \"Gender\", \"bbox\": [48, 31, 74, 40]}, {\"cell\": \"Age\", \"bbox\": [79, 31, 94, 40]}, {\"cell\": \"CAG repeat length\", \"bbox\": [99, 22, 140, 40]}, {\"cell\": \"CAG age product (CAP)\", \"bbox\": [155, 13, 187, 40]}, {\"cell\": \"Caudate volume (%ICV)\", \"bbox\": [212, 13, 241, 40]}, {\"cell\": \"Montreal Cognitive Assessment (MOCA)\", \"bbox\": [268, 4, 310, 40]}, {\"cell\": \"UHDRS\", \"bbox\": [325, 5, 352, 14]}, {\"cell\": \"Total Motor Score (TMS)\", \"bbox\": [325, 22, 365, 40]}, {\"cell\": \"Diagnostic ConfidenceScore (DCS)\", \"bbox\": [370, 22, 443, 40]}, {\"cell\": \"Total Functional Capacity (TFC)\", \"bbox\": [448, 22, 502, 40]}, {\"cell\": \"1\", \"bbox\": [5, 48, 11, 57]}, {\"cell\": \"F\", \"bbox\": [48, 48, 54, 56]}, {\"cell\": \"43\", \"bbox\": [79, 48, 90, 56]}, {\"cell\": \"46\", \"bbox\": [99, 48, 110, 56]}, {\"cell\": \"110\", \"bbox\": [155, 48, 170, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 48, 228, 56]}, {\"cell\": \"22\", \"bbox\": [268, 48, 279, 56]}, {\"cell\": \"14\", \"bbox\": [325, 48, 335, 56]}, {\"cell\": \"4\", \"bbox\": [370, 48, 376, 56]}, {\"cell\": \"13\", \"bbox\": [448, 48, 459, 56]}, {\"cell\": \"2\", \"bbox\": [5, 64, 11, 73]}, {\"cell\": \"F\", \"bbox\": [48, 64, 54, 72]}, {\"cell\": \"56\", \"bbox\": [79, 64, 90, 72]}, {\"cell\": \"40\", \"bbox\": [99, 64, 110, 72]}, {\"cell\": \"89\", \"bbox\": [155, 64, 166, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 64, 228, 72]}, {\"cell\": \"30\", \"bbox\": [268, 64, 279, 72]}, {\"cell\": \"4\", \"bbox\": [325, 64, 331, 72]}, {\"cell\": \"3\", \"bbox\": [370, 64, 376, 72]}, {\"cell\": \"12\", \"bbox\": [448, 64, 459, 72]}, {\"cell\": \"3\", \"bbox\": [5, 80, 11, 89]}, {\"cell\": \"F\", \"bbox\": [48, 81, 54, 88]}, {\"cell\": \"46\", \"bbox\": [79, 81, 90, 88]}, {\"cell\": \"44\", \"bbox\": [99, 81, 110, 88]}, {\"cell\": \"104\", \"bbox\": [155, 81, 170, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 81, 228, 88]}, {\"cell\": \"26\", \"bbox\": [268, 81, 279, 88]}, {\"cell\": \"16\", \"bbox\": [325, 81, 335, 88]}, {\"cell\": \"4\", \"bbox\": [370, 81, 376, 88]}, {\"cell\": \"11\", \"bbox\": [448, 81, 459, 88]}, {\"cell\": \"4\", \"bbox\": [5, 96, 11, 106]}, {\"cell\": \"F\", \"bbox\": [48, 97, 54, 104]}, {\"cell\": \"68\", \"bbox\": [79, 97, 90, 104]}, {\"cell\": \"39\", \"bbox\": [99, 97, 110, 104]}, {\"cell\": \"98\", \"bbox\": [155, 97, 166, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 97, 228, 104]}, {\"cell\": \"27\", \"bbox\": [268, 97, 279, 104]}, {\"cell\": \"11\", \"bbox\": [325, 97, 335, 104]}, {\"cell\": \"4\", \"bbox\": [370, 97, 376, 104]}, {\"cell\": \"12\", \"bbox\": [448, 97, 459, 104]}, {\"cell\": \"5\", \"bbox\": [5, 113, 11, 122]}, {\"cell\": \"M\", \"bbox\": [48, 113, 57, 121]}, {\"cell\": \"48\", \"bbox\": [79, 113, 90, 121]}, {\"cell\": \"45\", \"bbox\": [99, 113, 110, 121]}, {\"cell\": \"115\", \"bbox\": [155, 113, 170, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 113, 228, 121]}, {\"cell\": \"29\", \"bbox\": [268, 113, 279, 121]}, {\"cell\": \"13\", \"bbox\": [325, 113, 335, 121]}, {\"cell\": \"4\", \"bbox\": [370, 113, 376, 121]}, {\"cell\": \"12\", \"bbox\": [448, 113, 459, 121]}, {\"cell\": \"6\", \"bbox\": [5, 129, 11, 138]}, {\"cell\": \"F\", \"bbox\": [48, 129, 54, 137]}, {\"cell\": \"59\", \"bbox\": [79, 129, 90, 137]}, {\"cell\": \"42\", \"bbox\": [99, 129, 110, 137]}, {\"cell\": \"112\", \"bbox\": [155, 129, 170, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 129, 228, 137]}, {\"cell\": \"28\", \"bbox\": [268, 129, 279, 137]}, {\"cell\": \"12\", \"bbox\": [325, 129, 335, 137]}, {\"cell\": \"4\", \"bbox\": [370, 129, 376, 137]}, {\"cell\": \"13\", \"bbox\": [448, 129, 459, 137]}, {\"cell\": \"7\", \"bbox\": [5, 145, 11, 154]}, {\"cell\": \"F\", \"bbox\": [48, 145, 54, 153]}, {\"cell\": \"61\", \"bbox\": [79, 145, 90, 153]}, {\"cell\": \"40\", \"bbox\": [99, 145, 110, 153]}, {\"cell\": \"97\", \"bbox\": [155, 145, 166, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 145, 228, 153]}, {\"cell\": \"27\", \"bbox\": [268, 145, 279, 153]}, {\"cell\": \"5\", \"bbox\": [325, 145, 331, 153]}, {\"cell\": \"1\", \"bbox\": [370, 145, 376, 153]}, {\"cell\": \"13\", \"bbox\": [448, 145, 459, 153]}, {\"cell\": \"8\", \"bbox\": [5, 161, 11, 170]}, {\"cell\": \"F\", \"bbox\": [48, 162, 54, 169]}, {\"cell\": \"43\", \"bbox\": [79, 162, 90, 169]}, {\"cell\": \"41\", \"bbox\": [99, 162, 110, 169]}, {\"cell\": \"76\", \"bbox\": [155, 162, 166, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 162, 228, 169]}, {\"cell\": \"28\", \"bbox\": [268, 162, 279, 169]}, {\"cell\": \"0\", \"bbox\": [325, 162, 331, 169]}, {\"cell\": \"0\", \"bbox\": [370, 162, 376, 169]}, {\"cell\": \"13\", \"bbox\": [448, 162, 459, 169]}, {\"cell\": \"9\", \"bbox\": [5, 177, 11, 187]}, {\"cell\": \"M\", \"bbox\": [48, 178, 57, 185]}, {\"cell\": \"48\", \"bbox\": [79, 178, 90, 185]}, {\"cell\": \"44\", \"bbox\": [99, 178, 110, 185]}, {\"cell\": \"108\", \"bbox\": [155, 178, 170, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 178, 228, 185]}, {\"cell\": \"23\", \"bbox\": [268, 178, 279, 185]}, {\"cell\": \"17\", \"bbox\": [325, 178, 335, 185]}, {\"cell\": \"4\", \"bbox\": [370, 178, 376, 185]}, {\"cell\": \"12\", \"bbox\": [448, 178, 459, 185]}, {\"cell\": \"10\", \"bbox\": [5, 194, 15, 203]}, {\"cell\": \"M\", \"bbox\": [48, 194, 57, 202]}, {\"cell\": \"39\", \"bbox\": [79, 194, 90, 202]}, {\"cell\": \"43\", \"bbox\": [99, 194, 110, 202]}, {\"cell\": \"81\", \"bbox\": [155, 194, 166, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 194, 228, 202]}, {\"cell\": \"29\", \"bbox\": [268, 194, 279, 202]}, {\"cell\": \"8\", \"bbox\": [325, 194, 331, 202]}, {\"cell\": \"3\", \"bbox\": [370, 194, 376, 202]}, {\"cell\": \"13\", \"bbox\": [448, 194, 459, 202]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5838530_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariablesNumber (%) or Median (mean ±SD)P
30 W100 Wvalue
Stone free rate (0 mm)[EMPTY_CELL]25 (100.0%)[EMPTY_CELL]
Total operation time (min.)[EMPTY_CELL]29 (44.4 ± 38.8)n.s.
Operation time during lithotripsy (min.)[EMPTY_CELL]30 (40.7 ± 39.2)n.s.
Total energy using Ho: YAG laser (kJ)[EMPTY_CELL]7.28 (18.51 ± 31.26)0.08
Stone analysis[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Calcium Oxalate[EMPTY_CELL]9 (36.0%)n.s.
Struvite[EMPTY_CELL]1 (4.0%)
Uric acid[EMPTY_CELL]6 (24.0%)
Calcium Phosphate[EMPTY_CELL]0 (0.0%)
Mixed[EMPTY_CELL]2 (8.0%)
Unknown[EMPTY_CELL]7 (28.05)
Intraoperative complications[EMPTY_CELL]0 (0.0%)[EMPTY_CELL]
Postoperative outcomes[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Clavien grading score I[EMPTY_CELL]2 (8.0%)n.s.
Clavien grading score II or more[EMPTY_CELL]0 (0.0%)n.s.
\", \"cells\": [{\"cell\": \"Variables\", \"bbox\": [1, 4, 34, 13]}, {\"cell\": \"Number (%) or Median (mean ±SD)\", \"bbox\": [199, 4, 323, 13]}, {\"cell\": \"P\", \"bbox\": [464, 4, 470, 12]}, {\"cell\": \"30 W\", \"bbox\": [199, 17, 219, 26]}, {\"cell\": \"100 W\", \"bbox\": [329, 17, 353, 26]}, {\"cell\": \"value\", \"bbox\": [464, 17, 484, 26]}, {\"cell\": \"Stone free rate (0 mm)\", \"bbox\": [1, 30, 76, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 30, 238, 40]}, {\"cell\": \"25 (100.0%)\", \"bbox\": [329, 30, 368, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Total operation time (min.)\", \"bbox\": [1, 44, 88, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 44, 250, 54]}, {\"cell\": \"29 (44.4 ± 38.8)\", \"bbox\": [329, 44, 381, 54]}, {\"cell\": \"n.s.\", \"bbox\": [464, 44, 476, 54]}, {\"cell\": \"Operation time during lithotripsy (min.)\", \"bbox\": [1, 58, 129, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 58, 250, 68]}, {\"cell\": \"30 (40.7 ± 39.2)\", \"bbox\": [329, 58, 381, 68]}, {\"cell\": \"n.s.\", \"bbox\": [464, 58, 476, 68]}, {\"cell\": \"Total energy using Ho: YAG laser (kJ)\", \"bbox\": [1, 72, 120, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 72, 259, 82]}, {\"cell\": \"7.28 (18.51 ± 31.26)\", \"bbox\": [329, 72, 394, 82]}, {\"cell\": \"0.08\", \"bbox\": [464, 72, 479, 82]}, {\"cell\": \"Stone analysis\", \"bbox\": [1, 86, 47, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Calcium Oxalate\", \"bbox\": [8, 100, 62, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 100, 234, 110]}, {\"cell\": \"9 (36.0%)\", \"bbox\": [329, 100, 360, 110]}, {\"cell\": \"n.s.\", \"bbox\": [464, 100, 476, 110]}, {\"cell\": \" Struvite\", \"bbox\": [8, 114, 35, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 114, 230, 124]}, {\"cell\": \"1 (4.0%)\", \"bbox\": [329, 114, 357, 124]}, {\"cell\": \" Uric acid\", \"bbox\": [8, 128, 38, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 128, 226, 138]}, {\"cell\": \"6 (24.0%)\", \"bbox\": [329, 128, 360, 138]}, {\"cell\": \" Calcium Phosphate\", \"bbox\": [8, 142, 72, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 142, 226, 152]}, {\"cell\": \"0 (0.0%)\", \"bbox\": [329, 142, 357, 152]}, {\"cell\": \" Mixed\", \"bbox\": [8, 156, 30, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 156, 226, 166]}, {\"cell\": \"2 (8.0%)\", \"bbox\": [329, 156, 357, 166]}, {\"cell\": \" Unknown\", \"bbox\": [8, 170, 41, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 170, 230, 180]}, {\"cell\": \"7 (28.05)\", \"bbox\": [329, 170, 358, 180]}, {\"cell\": \"Intraoperative complications\", \"bbox\": [0, 184, 93, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 184, 226, 194]}, {\"cell\": \"0 (0.0%)\", \"bbox\": [329, 184, 357, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Postoperative outcomes\", \"bbox\": [0, 198, 80, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Clavien grading score I\", \"bbox\": [8, 212, 84, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 212, 226, 222]}, {\"cell\": \"2 (8.0%)\", \"bbox\": [329, 212, 357, 222]}, {\"cell\": \"n.s.\", \"bbox\": [464, 212, 476, 222]}, {\"cell\": \" Clavien grading score II or more\", \"bbox\": [8, 226, 114, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 226, 226, 236]}, {\"cell\": \"0 (0.0%)\", \"bbox\": [329, 226, 357, 236]}, {\"cell\": \"n.s.\", \"bbox\": [464, 226, 476, 236]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3599216_002_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Groups*Exposure time
[EMPTY_CELL]2 h60 s60 s +24-h recovery
0.06 % CHX0.1947 (0.1863-0.2103) A,a**[EMPTY_CELL]0.1200 (0.1166-0.1300) A,c
0.12% CHX0.1679 (0.1601- 0.1736) B,a[EMPTY_CELL]0.1239 (0.1140-0.1294) A,c
0.2% CHX0.1535 (0.1472-0.1544) C,a[EMPTY_CELL]0.1174 (0.1121-0.1275) AB,c
1% CHX0.1408 (0.1373-0.1442) D,a[EMPTY_CELL]0.1184 (0.1094-0.1247) AC,c
2% CHX0.1264 (0.1226-0.1381) E,a[EMPTY_CELL]0.1131 (0.1062-0.1177) BC,c
α-MEM0.5661 (0.5438-0.5961) F,a[EMPTY_CELL]0.4902 (0.4732-0.5357) D,c
H2O20.0700 (0.0666-0.0725) G,a[EMPTY_CELL]0.1291 (0.1176-0.1363) A,b
\", \"cells\": [{\"cell\": \"Groups*\", \"bbox\": [7, 10, 44, 21]}, {\"cell\": \"Exposure time\", \"bbox\": [241, 10, 305, 21]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2 h\", \"bbox\": [125, 23, 140, 34]}, {\"cell\": \"60 s\", \"bbox\": [269, 23, 288, 34]}, {\"cell\": \"60 s +24-h recovery\", \"bbox\": [370, 23, 456, 34]}, {\"cell\": \"0.06 % CHX\", \"bbox\": [7, 49, 58, 60]}, {\"cell\": \"0.1947 (0.1863-0.2103) A,a**\", \"bbox\": [78, 49, 197, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [219, 49, 337, 60]}, {\"cell\": \"0.1200 (0.1166-0.1300) A,c\", \"bbox\": [361, 49, 472, 60]}, {\"cell\": \"0.12% CHX\", \"bbox\": [7, 62, 56, 73]}, {\"cell\": \"0.1679 (0.1601- 0.1736) B,a\", \"bbox\": [78, 62, 193, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [219, 62, 331, 73]}, {\"cell\": \"0.1239 (0.1140-0.1294) A,c\", \"bbox\": [361, 62, 472, 73]}, {\"cell\": \"0.2% CHX\", \"bbox\": [7, 75, 51, 86]}, {\"cell\": \"0.1535 (0.1472-0.1544) C,a\", \"bbox\": [78, 75, 191, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [219, 75, 344, 86]}, {\"cell\": \"0.1174 (0.1121-0.1275) AB,c\", \"bbox\": [361, 75, 477, 86]}, {\"cell\": \"1% CHX\", \"bbox\": [7, 88, 43, 99]}, {\"cell\": \"0.1408 (0.1373-0.1442) D,a\", \"bbox\": [78, 88, 191, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [219, 88, 332, 99]}, {\"cell\": \"0.1184 (0.1094-0.1247) AC,c\", \"bbox\": [361, 88, 478, 99]}, {\"cell\": \"2% CHX\", \"bbox\": [7, 101, 43, 112]}, {\"cell\": \"0.1264 (0.1226-0.1381) E,a\", \"bbox\": [78, 101, 190, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [219, 101, 329, 112]}, {\"cell\": \"0.1131 (0.1062-0.1177) BC,c\", \"bbox\": [360, 101, 478, 112]}, {\"cell\": \"α-MEM\", \"bbox\": [7, 114, 38, 125]}, {\"cell\": \"0.5661 (0.5438-0.5961) F,a\", \"bbox\": [77, 114, 189, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [219, 114, 332, 125]}, {\"cell\": \"0.4902 (0.4732-0.5357) D,c\", \"bbox\": [361, 114, 473, 125]}, {\"cell\": \"H2O2\", \"bbox\": [7, 127, 28, 140]}, {\"cell\": \"0.0700 (0.0666-0.0725) G,a\", \"bbox\": [77, 127, 190, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [219, 127, 331, 138]}, {\"cell\": \"0.1291 (0.1176-0.1363) A,b\", \"bbox\": [361, 127, 472, 138]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5349028_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
AssemblersRepeatContigs (kb)E-sizeAssembly size (kb)Genome coverage (%)
TRCNNCRep-sizeRep-accNum.CN90MeanN50Max
SWA30183420.7 kb[EMPTY_CELL]18640.81.62.514.431152939100.1
ABySS72936.8 kb[EMPTY_CELL]3027.01224.8125314033647125.6
Allpaths-LG3572.6 kb[EMPTY_CELL]60314766.223490078286998.8
Bambus261037.5 kb[EMPTY_CELL]109111516.715819610283397.6
MSR-CA7874.4 kb[EMPTY_CELL]94213048.213950381286298.5
SGA18123219.4 kb[EMPTY_CELL]12521.02.24.016.84712283397.6
SOAPdenovo9987.5 kb[EMPTY_CELL]10735.52762.7518.7680022909100.2
Velvet1514713.8 kb[EMPTY_CELL]16511.417.641.516948511284798
\", \"cells\": [{\"cell\": \"Assemblers\", \"bbox\": [2, 9, 45, 20]}, {\"cell\": \"Repeat\", \"bbox\": [113, 4, 139, 15]}, {\"cell\": \"Contigs (kb)\", \"bbox\": [250, 4, 298, 15]}, {\"cell\": \"E-size\", \"bbox\": [356, 6, 380, 22]}, {\"cell\": \"Assembly size (kb)\", \"bbox\": [390, 5, 427, 26]}, {\"cell\": \"Genome coverage (%)\", \"bbox\": [442, 5, 490, 26]}, {\"cell\": \"TRC\", \"bbox\": [58, 17, 77, 28]}, {\"cell\": \"NNC\", \"bbox\": [87, 17, 109, 28]}, {\"cell\": \"Rep-size\", \"bbox\": [118, 17, 151, 28]}, {\"cell\": \"Rep-acc\", \"bbox\": [161, 17, 192, 28]}, {\"cell\": \"Num.C\", \"bbox\": [202, 17, 230, 28]}, {\"cell\": \"N90\", \"bbox\": [240, 17, 258, 28]}, {\"cell\": \"Mean\", \"bbox\": [267, 17, 290, 28]}, {\"cell\": \"N50\", \"bbox\": [300, 17, 317, 28]}, {\"cell\": \"Max\", \"bbox\": [328, 17, 346, 28]}, {\"cell\": \"SWA\", \"bbox\": [2, 30, 23, 41]}, {\"cell\": \"30\", \"bbox\": [63, 30, 73, 41]}, {\"cell\": \"1834\", \"bbox\": [89, 30, 107, 41]}, {\"cell\": \"20.7 kb\", \"bbox\": [121, 30, 148, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [168, 30, 185, 41]}, {\"cell\": \"1864\", \"bbox\": [207, 30, 225, 41]}, {\"cell\": \"0.8\", \"bbox\": [242, 30, 255, 41]}, {\"cell\": \"1.6\", \"bbox\": [273, 30, 284, 41]}, {\"cell\": \"2.5\", \"bbox\": [302, 30, 314, 41]}, {\"cell\": \"14.4\", \"bbox\": [329, 30, 345, 41]}, {\"cell\": \"3115\", \"bbox\": [360, 30, 376, 41]}, {\"cell\": \"2939\", \"bbox\": [402, 31, 420, 42]}, {\"cell\": \"100.1\", \"bbox\": [461, 31, 480, 42]}, {\"cell\": \"ABySS\", \"bbox\": [2, 43, 29, 54]}, {\"cell\": \"7\", \"bbox\": [65, 43, 71, 54]}, {\"cell\": \"293\", \"bbox\": [91, 43, 105, 54]}, {\"cell\": \"6.8 kb\", \"bbox\": [123, 43, 146, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [168, 43, 185, 54]}, {\"cell\": \"302\", \"bbox\": [209, 43, 223, 54]}, {\"cell\": \"7.0\", \"bbox\": [243, 43, 254, 54]}, {\"cell\": \"12\", \"bbox\": [274, 43, 283, 54]}, {\"cell\": \"24.8\", \"bbox\": [300, 43, 317, 54]}, {\"cell\": \"125\", \"bbox\": [330, 43, 343, 54]}, {\"cell\": \"31403\", \"bbox\": [357, 43, 379, 54]}, {\"cell\": \"3647\", \"bbox\": [401, 44, 421, 55]}, {\"cell\": \"125.6\", \"bbox\": [460, 44, 480, 55]}, {\"cell\": \"Allpaths-LG\", \"bbox\": [2, 57, 49, 67]}, {\"cell\": \"3\", \"bbox\": [65, 57, 71, 67]}, {\"cell\": \"57\", \"bbox\": [93, 57, 103, 67]}, {\"cell\": \"2.6 kb\", \"bbox\": [123, 57, 146, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [167, 57, 186, 67]}, {\"cell\": \"60\", \"bbox\": [210, 57, 221, 67]}, {\"cell\": \"31\", \"bbox\": [244, 57, 253, 67]}, {\"cell\": \"47\", \"bbox\": [273, 57, 284, 67]}, {\"cell\": \"66.2\", \"bbox\": [300, 57, 317, 67]}, {\"cell\": \"234\", \"bbox\": [329, 57, 344, 67]}, {\"cell\": \"90078\", \"bbox\": [356, 57, 380, 67]}, {\"cell\": \"2869\", \"bbox\": [401, 58, 421, 68]}, {\"cell\": \"98.8\", \"bbox\": [462, 58, 479, 68]}, {\"cell\": \"Bambus2\", \"bbox\": [2, 70, 38, 81]}, {\"cell\": \"6\", \"bbox\": [65, 70, 71, 81]}, {\"cell\": \"103\", \"bbox\": [91, 70, 105, 81]}, {\"cell\": \"7.5 kb\", \"bbox\": [124, 70, 145, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [168, 70, 185, 81]}, {\"cell\": \"109\", \"bbox\": [209, 70, 223, 81]}, {\"cell\": \"11\", \"bbox\": [245, 70, 253, 81]}, {\"cell\": \"15\", \"bbox\": [274, 70, 283, 81]}, {\"cell\": \"16.7\", \"bbox\": [301, 70, 316, 81]}, {\"cell\": \"158\", \"bbox\": [330, 70, 343, 81]}, {\"cell\": \"19610\", \"bbox\": [358, 70, 379, 81]}, {\"cell\": \"2833\", \"bbox\": [402, 71, 420, 81]}, {\"cell\": \"97.6\", \"bbox\": [462, 71, 478, 81]}, {\"cell\": \"MSR-CA\", \"bbox\": [2, 83, 37, 94]}, {\"cell\": \"7\", \"bbox\": [65, 83, 71, 94]}, {\"cell\": \"87\", \"bbox\": [93, 83, 103, 94]}, {\"cell\": \"4.4 kb\", \"bbox\": [123, 83, 146, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [168, 83, 184, 94]}, {\"cell\": \"94\", \"bbox\": [210, 83, 221, 94]}, {\"cell\": \"21\", \"bbox\": [244, 83, 253, 94]}, {\"cell\": \"30\", \"bbox\": [273, 83, 284, 94]}, {\"cell\": \"48.2\", \"bbox\": [300, 83, 317, 94]}, {\"cell\": \"139\", \"bbox\": [330, 83, 343, 94]}, {\"cell\": \"50381\", \"bbox\": [357, 83, 379, 94]}, {\"cell\": \"2862\", \"bbox\": [402, 84, 421, 95]}, {\"cell\": \"98.5\", \"bbox\": [462, 84, 479, 95]}, {\"cell\": \"SGA\", \"bbox\": [2, 96, 21, 107]}, {\"cell\": \"18\", \"bbox\": [63, 96, 73, 107]}, {\"cell\": \"1232\", \"bbox\": [89, 96, 107, 107]}, {\"cell\": \"19.4 kb\", \"bbox\": [122, 96, 148, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 96, 188, 107]}, {\"cell\": \"1252\", \"bbox\": [207, 96, 225, 107]}, {\"cell\": \"1.0\", \"bbox\": [243, 96, 254, 107]}, {\"cell\": \"2.2\", \"bbox\": [272, 96, 285, 107]}, {\"cell\": \"4.0\", \"bbox\": [302, 96, 315, 107]}, {\"cell\": \"16.8\", \"bbox\": [329, 96, 344, 107]}, {\"cell\": \"4712\", \"bbox\": [359, 96, 377, 107]}, {\"cell\": \"2833\", \"bbox\": [402, 97, 420, 108]}, {\"cell\": \"97.6\", \"bbox\": [462, 97, 478, 108]}, {\"cell\": \"SOAPdenovo\", \"bbox\": [2, 110, 53, 120]}, {\"cell\": \"9\", \"bbox\": [65, 110, 71, 120]}, {\"cell\": \"98\", \"bbox\": [93, 110, 103, 120]}, {\"cell\": \"7.5 kb\", \"bbox\": [124, 110, 145, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 110, 188, 120]}, {\"cell\": \"107\", \"bbox\": [209, 110, 223, 120]}, {\"cell\": \"35.5\", \"bbox\": [241, 110, 257, 120]}, {\"cell\": \"27\", \"bbox\": [273, 110, 284, 120]}, {\"cell\": \"62.7\", \"bbox\": [300, 110, 317, 120]}, {\"cell\": \"518.7\", \"bbox\": [327, 110, 346, 120]}, {\"cell\": \"68002\", \"bbox\": [356, 110, 380, 120]}, {\"cell\": \"2909\", \"bbox\": [401, 111, 421, 121]}, {\"cell\": \"100.2\", \"bbox\": [460, 111, 480, 121]}, {\"cell\": \"Velvet\", \"bbox\": [2, 123, 27, 134]}, {\"cell\": \"15\", \"bbox\": [63, 123, 73, 134]}, {\"cell\": \"147\", \"bbox\": [91, 123, 105, 134]}, {\"cell\": \"13.8 kb\", \"bbox\": [122, 123, 148, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 123, 188, 134]}, {\"cell\": \"165\", \"bbox\": [209, 123, 223, 134]}, {\"cell\": \"11.4\", \"bbox\": [241, 123, 256, 134]}, {\"cell\": \"17.6\", \"bbox\": [271, 123, 286, 134]}, {\"cell\": \"41.5\", \"bbox\": [301, 123, 316, 134]}, {\"cell\": \"169\", \"bbox\": [330, 123, 343, 134]}, {\"cell\": \"48511\", \"bbox\": [358, 123, 379, 134]}, {\"cell\": \"2847\", \"bbox\": [401, 124, 421, 134]}, {\"cell\": \"98\", \"bbox\": [465, 124, 476, 134]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4055594_009_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Healthy individuals (n = 40)Normal serum ferritin AD individuals (n = 11)High serum ferritin AD individuals (n = 14)
Average age and range[EMPTY_CELL]78, 59–9181, 60–96
Average number of years suffering from Alzheimer's disease and range[EMPTY_CELL]8, 2–156, 1–10
Male: female[EMPTY_CELL]1:102:12
Serum ferritin levels and range[EMPTY_CELL]80, 17–187265, 154–423
Smoker: non-smoker[EMPTY_CELL]0:111:13
Etiology ischemic/non-ischemic[EMPTY_CELL]2:90:14
Hypertensive: Normotensive[EMPTY_CELL]4:75:9
ACE-inhibitors: yes/no[EMPTY_CELL]4:73:11
Beta-blockers: yes/no[EMPTY_CELL]1:101:13
Hypothyroid: yes/no[EMPTY_CELL]4:72:12
Hypercholesterolemia: yes/no[EMPTY_CELL]1:102:12
Anti-coagulant: yes/no yes/no[EMPTY_CELL]1:101:13
Asthma: yes/no[EMPTY_CELL]0:111:13
Epilepsy: yes/no[EMPTY_CELL]1:100:14
Osteoporosis: yes/no[EMPTY_CELL]1:101:13
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Healthy individuals (n = 40)\", \"bbox\": [171, 9, 271, 18]}, {\"cell\": \"Normal serum ferritin AD individuals (n = 11)\", \"bbox\": [312, 9, 395, 28]}, {\"cell\": \"High serum ferritin AD individuals (n = 14)\", \"bbox\": [426, 9, 507, 28]}, {\"cell\": \"Average age and range\", \"bbox\": [0, 38, 79, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 38, 205, 47]}, {\"cell\": \"78, 59–91\", \"bbox\": [312, 38, 347, 47]}, {\"cell\": \"81, 60–96\", \"bbox\": [426, 38, 461, 47]}, {\"cell\": \"Average number of years suffering from Alzheimer's disease and range\", \"bbox\": [0, 50, 135, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 50, 177, 59]}, {\"cell\": \"8, 2–15\", \"bbox\": [312, 50, 339, 59]}, {\"cell\": \"6, 1–10\", \"bbox\": [426, 50, 451, 59]}, {\"cell\": \"Male: female\", \"bbox\": [0, 72, 46, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 72, 191, 81]}, {\"cell\": \"1:10\", \"bbox\": [312, 72, 328, 81]}, {\"cell\": \"2:12\", \"bbox\": [426, 72, 442, 81]}, {\"cell\": \"Serum ferritin levels and range\", \"bbox\": [0, 83, 104, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 82, 277, 103]}, {\"cell\": \"80, 17–187\", \"bbox\": [312, 83, 350, 92]}, {\"cell\": \"265, 154–423\", \"bbox\": [426, 83, 473, 92]}, {\"cell\": \"Smoker: non-smoker\", \"bbox\": [0, 105, 72, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 105, 187, 114]}, {\"cell\": \"0:11\", \"bbox\": [312, 105, 328, 114]}, {\"cell\": \"1:13\", \"bbox\": [426, 105, 442, 114]}, {\"cell\": \"Etiology ischemic/non-ischemic\", \"bbox\": [0, 117, 106, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 117, 187, 126]}, {\"cell\": \"2:9\", \"bbox\": [312, 117, 325, 126]}, {\"cell\": \"0:14\", \"bbox\": [426, 117, 442, 126]}, {\"cell\": \"Hypertensive: Normotensive\", \"bbox\": [0, 128, 98, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 128, 187, 137]}, {\"cell\": \"4:7\", \"bbox\": [312, 128, 325, 137]}, {\"cell\": \"5:9\", \"bbox\": [426, 128, 438, 137]}, {\"cell\": \"ACE-inhibitors: yes/no\", \"bbox\": [0, 140, 75, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 140, 187, 149]}, {\"cell\": \"4:7\", \"bbox\": [312, 140, 325, 149]}, {\"cell\": \"3:11\", \"bbox\": [426, 140, 441, 149]}, {\"cell\": \"Beta-blockers: yes/no\", \"bbox\": [0, 151, 74, 160]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 151, 187, 160]}, {\"cell\": \"1:10\", \"bbox\": [312, 151, 328, 160]}, {\"cell\": \"1:13\", \"bbox\": [426, 151, 442, 160]}, {\"cell\": \"Hypothyroid: yes/no\", \"bbox\": [0, 163, 69, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 163, 187, 172]}, {\"cell\": \"4:7\", \"bbox\": [312, 163, 325, 172]}, {\"cell\": \"2:12\", \"bbox\": [426, 163, 442, 172]}, {\"cell\": \"Hypercholesterolemia: yes/no\", \"bbox\": [0, 174, 101, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 174, 187, 183]}, {\"cell\": \"1:10\", \"bbox\": [312, 174, 328, 183]}, {\"cell\": \"2:12\", \"bbox\": [426, 174, 442, 183]}, {\"cell\": \"Anti-coagulant: yes/no yes/no\", \"bbox\": [0, 186, 100, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 186, 187, 195]}, {\"cell\": \"1:10\", \"bbox\": [312, 186, 328, 195]}, {\"cell\": \"1:13\", \"bbox\": [426, 186, 442, 195]}, {\"cell\": \"Asthma: yes/no\", \"bbox\": [0, 197, 54, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 197, 187, 206]}, {\"cell\": \"0:11\", \"bbox\": [312, 197, 328, 206]}, {\"cell\": \"1:13\", \"bbox\": [426, 197, 442, 206]}, {\"cell\": \"Epilepsy: yes/no\", \"bbox\": [0, 209, 57, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 209, 187, 218]}, {\"cell\": \"1:10\", \"bbox\": [312, 209, 328, 218]}, {\"cell\": \"0:14\", \"bbox\": [426, 209, 442, 218]}, {\"cell\": \"Osteoporosis: yes/no\", \"bbox\": [0, 221, 73, 229]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 221, 187, 229]}, {\"cell\": \"1:10\", \"bbox\": [312, 221, 328, 229]}, {\"cell\": \"1:13\", \"bbox\": [426, 221, 442, 229]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3853801_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]BaselineAfter interventionP-value
• Daily habits variables[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Energy (kJ and kcal/day)[EMPTY_CELL]6,455 ± 2,294 (1,542 ± 548)<0.001
Carbohydrate (% E)[EMPTY_CELL]49.6 ± 6.70.036
Added sugar (g)[EMPTY_CELL]28.5 ± 20.8<0.001
Protein (% E)[EMPTY_CELL]19.9 ± 4.1<0.001
Total fat (% E)[EMPTY_CELL]31.3 ± 5.60.847
Saturated fatty acids (% E)[EMPTY_CELL]9.6 ± 2.70.658
Monounsaturated fatty acids (% E)[EMPTY_CELL]10.8 ± 2.70.951
Polyunsaturated fatty acids (% E)[EMPTY_CELL]8.1 ± 2.00.724
Trans fatty acids (g)[EMPTY_CELL]2.6 ± 2.2<0.001
Soluble fibers/1,000 kcal (g)*[EMPTY_CELL]2.2 ± 1.60.099
Unsoluble fibers/1,000 kcal (g)*[EMPTY_CELL]6.9 ± 3.70.222
Leisure physical activity (min/week)*[EMPTY_CELL]46.4 ± 82.00.466
• Clinical variables[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Body weight (kg)[EMPTY_CELL]77.0 ± 14.9<0.001
Waist circumference (cm)[EMPTY_CELL]98.7 ± 12.3<0.001
Mean blood pressure (mmHg)[EMPTY_CELL]95.0 ± 10.1<0.001
Fasting plasma glucose (mg/dL)[EMPTY_CELL]95.9 ± 12.10.029
2-h plasma glucose (mg/dL)[EMPTY_CELL]113.2 ± 30.50.111
Triglycerides (mg/dL)[EMPTY_CELL]149.3 ± 81.30.191
LDL-cholesterol (mg/dL)[EMPTY_CELL]121.3 ± 40.00.023
HDL-cholesterol (mg/dL)[EMPTY_CELL]49.5 ± 14.6<0.001
HOMA-IR*[EMPTY_CELL]1.66 ± 0.91<0.001
C-reactive protein (mg/dL)*[EMPTY_CELL]0.04 ± 0.05<0.001
Tumor necrosis factor-α (pg/dL)*[EMPTY_CELL]10.4 ± 6.8<0.001
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Baseline\", \"bbox\": [202, 4, 232, 12]}, {\"cell\": \"After intervention\", \"bbox\": [326, 4, 391, 12]}, {\"cell\": \"P-value\", \"bbox\": [457, 4, 484, 12]}, {\"cell\": \"• Daily habits variables\", \"bbox\": [1, 17, 79, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Energy (kJ and kcal/day)\", \"bbox\": [1, 31, 80, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 31, 260, 41]}, {\"cell\": \"6,455 ± 2,294 (1,542 ± 548)\", \"bbox\": [316, 31, 401, 41]}, {\"cell\": \"<0.001\", \"bbox\": [459, 31, 482, 41]}, {\"cell\": \"Carbohydrate (% E)\", \"bbox\": [1, 45, 64, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 45, 233, 55]}, {\"cell\": \"49.6 ± 6.7\", \"bbox\": [343, 45, 374, 55]}, {\"cell\": \"0.036\", \"bbox\": [461, 45, 480, 55]}, {\"cell\": \"Added sugar (g)\", \"bbox\": [1, 59, 54, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 59, 235, 69]}, {\"cell\": \"28.5 ± 20.8\", \"bbox\": [341, 59, 376, 69]}, {\"cell\": \"<0.001\", \"bbox\": [459, 59, 482, 69]}, {\"cell\": \"Protein (% E)\", \"bbox\": [1, 73, 44, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 73, 233, 83]}, {\"cell\": \"19.9 ± 4.1\", \"bbox\": [343, 73, 374, 83]}, {\"cell\": \"<0.001\", \"bbox\": [459, 73, 482, 83]}, {\"cell\": \"Total fat (% E)\", \"bbox\": [1, 87, 47, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 87, 233, 97]}, {\"cell\": \"31.3 ± 5.6\", \"bbox\": [343, 87, 374, 97]}, {\"cell\": \"0.847\", \"bbox\": [461, 87, 480, 97]}, {\"cell\": \"Saturated fatty acids (% E)\", \"bbox\": [1, 101, 86, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 101, 231, 111]}, {\"cell\": \"9.6 ± 2.7\", \"bbox\": [345, 101, 372, 111]}, {\"cell\": \"0.658\", \"bbox\": [461, 101, 480, 111]}, {\"cell\": \"Monounsaturated fatty acids (% E)\", \"bbox\": [1, 115, 112, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 115, 233, 125]}, {\"cell\": \"10.8 ± 2.7\", \"bbox\": [343, 115, 374, 125]}, {\"cell\": \"0.951\", \"bbox\": [461, 115, 480, 125]}, {\"cell\": \"Polyunsaturated fatty acids (% E)\", \"bbox\": [1, 129, 107, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 129, 231, 139]}, {\"cell\": \"8.1 ± 2.0\", \"bbox\": [345, 129, 372, 139]}, {\"cell\": \"0.724\", \"bbox\": [461, 129, 480, 139]}, {\"cell\": \"Trans fatty acids (g)\", \"bbox\": [1, 143, 65, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 143, 231, 153]}, {\"cell\": \"2.6 ± 2.2\", \"bbox\": [345, 143, 372, 153]}, {\"cell\": \"<0.001\", \"bbox\": [459, 143, 482, 153]}, {\"cell\": \"Soluble fibers/1,000 kcal (g)*\", \"bbox\": [1, 157, 93, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 157, 231, 167]}, {\"cell\": \"2.2 ± 1.6\", \"bbox\": [345, 157, 372, 167]}, {\"cell\": \"0.099\", \"bbox\": [461, 157, 480, 167]}, {\"cell\": \"Unsoluble fibers/1,000 kcal (g)*\", \"bbox\": [1, 171, 102, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 171, 231, 181]}, {\"cell\": \"6.9 ± 3.7\", \"bbox\": [345, 171, 372, 181]}, {\"cell\": \"0.222\", \"bbox\": [461, 171, 480, 181]}, {\"cell\": \"Leisure physical activity (min/week)*\", \"bbox\": [1, 185, 119, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 185, 235, 195]}, {\"cell\": \"46.4 ± 82.0\", \"bbox\": [341, 185, 376, 195]}, {\"cell\": \"0.466\", \"bbox\": [461, 185, 480, 195]}, {\"cell\": \"• Clinical variables\", \"bbox\": [1, 199, 63, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Body weight (kg)\", \"bbox\": [1, 213, 57, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 213, 235, 223]}, {\"cell\": \"77.0 ± 14.9\", \"bbox\": [341, 213, 376, 223]}, {\"cell\": \"<0.001\", \"bbox\": [459, 213, 482, 223]}, {\"cell\": \"Waist circumference (cm)\", \"bbox\": [1, 227, 84, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [197, 227, 237, 237]}, {\"cell\": \"98.7 ± 12.3\", \"bbox\": [341, 227, 376, 237]}, {\"cell\": \"<0.001\", \"bbox\": [459, 227, 482, 237]}, {\"cell\": \"Mean blood pressure (mmHg)\", \"bbox\": [1, 241, 99, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [197, 241, 237, 251]}, {\"cell\": \"95.0 ± 10.1\", \"bbox\": [341, 241, 376, 251]}, {\"cell\": \"<0.001\", \"bbox\": [459, 241, 482, 251]}, {\"cell\": \"Fasting plasma glucose (mg/dL)\", \"bbox\": [1, 255, 105, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 255, 235, 265]}, {\"cell\": \"95.9 ± 12.1\", \"bbox\": [341, 255, 376, 265]}, {\"cell\": \"0.029\", \"bbox\": [461, 255, 480, 265]}, {\"cell\": \"2-h plasma glucose (mg/dL)\", \"bbox\": [1, 269, 93, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [197, 269, 237, 279]}, {\"cell\": \"113.2 ± 30.5\", \"bbox\": [339, 269, 378, 279]}, {\"cell\": \"0.111\", \"bbox\": [461, 269, 480, 279]}, {\"cell\": \"Triglycerides (mg/dL)\", \"bbox\": [1, 283, 70, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [197, 283, 237, 293]}, {\"cell\": \"149.3 ± 81.3\", \"bbox\": [339, 283, 378, 293]}, {\"cell\": \"0.191\", \"bbox\": [461, 283, 480, 293]}, {\"cell\": \"LDL-cholesterol (mg/dL)\", \"bbox\": [1, 297, 80, 307]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [197, 297, 237, 307]}, {\"cell\": \"121.3 ± 40.0\", \"bbox\": [339, 297, 378, 307]}, {\"cell\": \"0.023\", \"bbox\": [461, 297, 480, 307]}, {\"cell\": \"HDL-cholesterol (mg/dL)\", \"bbox\": [1, 311, 81, 321]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 311, 235, 321]}, {\"cell\": \"49.5 ± 14.6\", \"bbox\": [341, 311, 376, 321]}, {\"cell\": \"<0.001\", \"bbox\": [459, 311, 482, 321]}, {\"cell\": \"HOMA-IR*\", \"bbox\": [1, 325, 35, 335]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 325, 235, 335]}, {\"cell\": \"1.66 ± 0.91\", \"bbox\": [341, 325, 376, 335]}, {\"cell\": \"<0.001\", \"bbox\": [459, 325, 482, 335]}, {\"cell\": \"C-reactive protein (mg/dL)*\", \"bbox\": [1, 339, 91, 349]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 339, 235, 349]}, {\"cell\": \"0.04 ± 0.05\", \"bbox\": [341, 339, 376, 349]}, {\"cell\": \"<0.001\", \"bbox\": [459, 339, 482, 349]}, {\"cell\": \"Tumor necrosis factor-α (pg/dL)*\", \"bbox\": [1, 353, 107, 363]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 353, 233, 363]}, {\"cell\": \"10.4 ± 6.8\", \"bbox\": [343, 353, 374, 363]}, {\"cell\": \"<0.001\", \"bbox\": [459, 353, 482, 363]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4424482_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
NameTargetStrainSequence 5'--------------3'GenBank Accession NoPCR product (bp)
OG 4316S rRNA[EMPTY_CELL]CCAAGTGTGATTAGGTAGTTM75036226
OG 4416S rRNA[EMPTY_CELL]ACCAACCTTCCTCAATACM75036[EMPTY_CELL]
OG5316S rRNA[EMPTY_CELL]CGTATCCAACCTTCCCTCCX73965389
OG5416S rRNA[EMPTY_CELL]ATTAGCCGGTCCTTATTCGAAGX73965[EMPTY_CELL]
OG94prtC[EMPTY_CELL]GAATCAAATACTTCAGCCGTCTAB006973143
OG95prtC[EMPTY_CELL]TTGCAGTTCGTATCGGATCTAB006973[EMPTY_CELL]
OG4516S rRNA[EMPTY_CELL]GTCGGACTAATACCTCATAAAACAL16495222
OG4616S rRNA[EMPTY_CELL]TCGCCCATTGACCAATATTL16495[EMPTY_CELL]
OG34816S rRNA[EMPTY_CELL]AGAGAAAGGGTAATTTGAAGAF179264399
OG34916S rRNA[EMPTY_CELL]TATTATTGTCCCTTCTTTCTTAF179264[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Name\", \"bbox\": [5, 4, 30, 14]}, {\"cell\": \"Target\", \"bbox\": [39, 4, 68, 14]}, {\"cell\": \"Strain\", \"bbox\": [102, 4, 128, 14]}, {\"cell\": \"Sequence 5'--------------3'\", \"bbox\": [205, 4, 298, 14]}, {\"cell\": \"GenBank Accession No\", \"bbox\": [354, 4, 409, 23]}, {\"cell\": \"PCR product (bp)\", \"bbox\": [422, 4, 493, 14]}, {\"cell\": \"OG 43\", \"bbox\": [5, 36, 30, 44]}, {\"cell\": \"16S rRNA\", \"bbox\": [37, 36, 70, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [81, 36, 149, 55]}, {\"cell\": \"CCAAGTGTGATTAGGTAGTT\", \"bbox\": [196, 36, 308, 44]}, {\"cell\": \"M75036\", \"bbox\": [367, 36, 396, 44]}, {\"cell\": \"226\", \"bbox\": [450, 36, 465, 44]}, {\"cell\": \"OG 44\", \"bbox\": [5, 56, 30, 63]}, {\"cell\": \"16S rRNA\", \"bbox\": [37, 56, 70, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [81, 56, 149, 74]}, {\"cell\": \"ACCAACCTTCCTCAATAC\", \"bbox\": [201, 56, 303, 63]}, {\"cell\": \"M75036\", \"bbox\": [367, 56, 396, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"OG53\", \"bbox\": [6, 75, 29, 83]}, {\"cell\": \"16S rRNA\", \"bbox\": [37, 75, 70, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [82, 75, 149, 85]}, {\"cell\": \"CGTATCCAACCTTCCCTCC\", \"bbox\": [198, 75, 306, 83]}, {\"cell\": \"X73965\", \"bbox\": [367, 75, 396, 83]}, {\"cell\": \"389\", \"bbox\": [450, 75, 465, 83]}, {\"cell\": \"OG54\", \"bbox\": [6, 85, 29, 93]}, {\"cell\": \"16S rRNA\", \"bbox\": [37, 85, 70, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [82, 85, 149, 95]}, {\"cell\": \"ATTAGCCGGTCCTTATTCGAAG\", \"bbox\": [190, 85, 314, 93]}, {\"cell\": \"X73965\", \"bbox\": [367, 85, 396, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"OG94\", \"bbox\": [6, 96, 29, 103]}, {\"cell\": \"prtC\", \"bbox\": [46, 96, 61, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [90, 96, 140, 114]}, {\"cell\": \"GAATCAAATACTTCAGCCGTCT\", \"bbox\": [190, 96, 314, 103]}, {\"cell\": \"AB006973\", \"bbox\": [363, 96, 400, 103]}, {\"cell\": \"143\", \"bbox\": [450, 96, 465, 103]}, {\"cell\": \"OG95\", \"bbox\": [6, 115, 29, 123]}, {\"cell\": \"prtC\", \"bbox\": [46, 115, 61, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [78, 115, 153, 125]}, {\"cell\": \"TTGCAGTTCGTATCGGATCT\", \"bbox\": [196, 115, 308, 123]}, {\"cell\": \"AB006973\", \"bbox\": [363, 115, 400, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"OG45\", \"bbox\": [6, 125, 29, 133]}, {\"cell\": \"16S rRNA\", \"bbox\": [37, 125, 70, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 125, 151, 135]}, {\"cell\": \"GTCGGACTAATACCTCATAAAACA\", \"bbox\": [184, 125, 319, 133]}, {\"cell\": \"L16495\", \"bbox\": [368, 125, 395, 133]}, {\"cell\": \"222\", \"bbox\": [450, 125, 465, 133]}, {\"cell\": \"OG46\", \"bbox\": [6, 136, 29, 143]}, {\"cell\": \"16S rRNA\", \"bbox\": [37, 136, 70, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 136, 151, 145]}, {\"cell\": \"TCGCCCATTGACCAATATT\", \"bbox\": [199, 136, 305, 143]}, {\"cell\": \"L16495\", \"bbox\": [368, 136, 395, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"OG348\", \"bbox\": [6, 146, 29, 163]}, {\"cell\": \"16S rRNA\", \"bbox\": [37, 146, 70, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [81, 146, 149, 155]}, {\"cell\": \"AGAGAAAGGGTAATTTGAAG\", \"bbox\": [195, 146, 309, 154]}, {\"cell\": \"AF179264\", \"bbox\": [363, 146, 399, 154]}, {\"cell\": \"399\", \"bbox\": [450, 146, 465, 154]}, {\"cell\": \"OG349\", \"bbox\": [6, 165, 29, 182]}, {\"cell\": \"16S rRNA\", \"bbox\": [37, 165, 70, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [81, 165, 149, 175]}, {\"cell\": \"TATTATTGTCCCTTCTTTCTT\", \"bbox\": [195, 165, 308, 173]}, {\"cell\": \"AF179264\", \"bbox\": [363, 165, 399, 173]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC1539009_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Variable NameEstimate (p-Value)Change in Probability (p-Value)
[EMPTY_CELL]−2.5398 (0.024)-
[EMPTY_CELL]−0.3338 (0.500)−0.0849 (0.490)
[EMPTY_CELL]−0.1593 (0.765)−0.0430 (0.772)
[EMPTY_CELL]0.7855 (0.237)0.1684 (0.123)
[EMPTY_CELL]1.0122 (0.155)0.1972 (0.039)
[EMPTY_CELL]1.0488 (0.054)0.3171 (0.082)
[EMPTY_CELL]−0.0927 (0.764)−0.0243 (0.766)
[EMPTY_CELL]0.3270 (0.656)0.0747 (0.603)
[EMPTY_CELL]−1.0099 (0.171)−0.2847 (0.189)
[EMPTY_CELL]−0.1735 (0.723)−0.0467 (0.728)
[EMPTY_CELL]1.1851 (0.119)0.2295 (0.043)
[EMPTY_CELL]1.7794 (0.058)0.2548 (0.001)
[EMPTY_CELL]−0.8086 (0.140)−0.1735 (0.062)
[EMPTY_CELL]1.2992 (0.008)0.4450 (0.010)
[EMPTY_CELL]−0.9085 (0.023)−0.2533 (0.027)
[EMPTY_CELL]−0.9670 (0.68)−0.3022 (0.098)
[EMPTY_CELL]0.5038 (0.330)0.1273 (0.309)
[EMPTY_CELL]0.9243 (0.078)0.2470 (0.076)
[EMPTY_CELL]0.7043 (0.140)0.2053 (0.162)
[EMPTY_CELL]0.3927 (0.347)0.0997 (0.341)
[EMPTY_CELL]1.6560 (0.016)0.2792 (0.001)
[EMPTY_CELL]0.8768 (0.511)0.1526 (0.274)
[EMPTY_CELL]120[EMPTY_CELL]
[EMPTY_CELL]0.4014[EMPTY_CELL]
[EMPTY_CELL]58.15[EMPTY_CELL]
[EMPTY_CELL]21[EMPTY_CELL]
[EMPTY_CELL]0.0000[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Variable Name\", \"bbox\": [62, 10, 125, 21]}, {\"cell\": \"Estimate (p-Value)\", \"bbox\": [195, 10, 272, 21]}, {\"cell\": \"Change in Probability (p-Value)\", \"bbox\": [291, 5, 384, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [74, 32, 112, 43]}, {\"cell\": \"−2.5398 (0.024)\", \"bbox\": [202, 32, 265, 43]}, {\"cell\": \"-\", \"bbox\": [335, 32, 340, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [82, 43, 104, 54]}, {\"cell\": \"−0.3338 (0.500)\", \"bbox\": [202, 43, 265, 54]}, {\"cell\": \"−0.0849 (0.490)\", \"bbox\": [306, 43, 369, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 54, 106, 65]}, {\"cell\": \"−0.1593 (0.765)\", \"bbox\": [202, 54, 265, 65]}, {\"cell\": \"−0.0430 (0.772)\", \"bbox\": [306, 54, 369, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 65, 106, 76]}, {\"cell\": \"0.7855 (0.237)\", \"bbox\": [206, 65, 261, 76]}, {\"cell\": \"0.1684 (0.123)\", \"bbox\": [310, 65, 365, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [76, 76, 111, 87]}, {\"cell\": \"1.0122 (0.155)\", \"bbox\": [206, 76, 261, 87]}, {\"cell\": \"0.1972 (0.039)\", \"bbox\": [310, 76, 365, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [74, 87, 112, 98]}, {\"cell\": \"1.0488 (0.054)\", \"bbox\": [206, 87, 261, 98]}, {\"cell\": \"0.3171 (0.082)\", \"bbox\": [310, 87, 365, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 98, 106, 109]}, {\"cell\": \"−0.0927 (0.764)\", \"bbox\": [202, 98, 265, 109]}, {\"cell\": \"−0.0243 (0.766)\", \"bbox\": [306, 98, 369, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 109, 106, 120]}, {\"cell\": \"0.3270 (0.656)\", \"bbox\": [206, 109, 261, 120]}, {\"cell\": \"0.0747 (0.603)\", \"bbox\": [310, 109, 365, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 120, 106, 131]}, {\"cell\": \"−1.0099 (0.171)\", \"bbox\": [202, 120, 265, 131]}, {\"cell\": \"−0.2847 (0.189)\", \"bbox\": [306, 120, 369, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [82, 131, 105, 142]}, {\"cell\": \"−0.1735 (0.723)\", \"bbox\": [202, 131, 265, 142]}, {\"cell\": \"−0.0467 (0.728)\", \"bbox\": [306, 131, 369, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 142, 109, 153]}, {\"cell\": \"1.1851 (0.119)\", \"bbox\": [206, 142, 261, 153]}, {\"cell\": \"0.2295 (0.043)\", \"bbox\": [310, 142, 365, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [75, 153, 111, 164]}, {\"cell\": \"1.7794 (0.058)\", \"bbox\": [206, 153, 261, 164]}, {\"cell\": \"0.2548 (0.001)\", \"bbox\": [310, 153, 365, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [73, 164, 114, 175]}, {\"cell\": \"−0.8086 (0.140)\", \"bbox\": [202, 164, 265, 175]}, {\"cell\": \"−0.1735 (0.062)\", \"bbox\": [306, 164, 369, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [69, 175, 118, 186]}, {\"cell\": \"1.2992 (0.008)\", \"bbox\": [206, 175, 261, 186]}, {\"cell\": \"0.4450 (0.010)\", \"bbox\": [310, 175, 365, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 186, 123, 197]}, {\"cell\": \"−0.9085 (0.023)\", \"bbox\": [202, 186, 265, 197]}, {\"cell\": \"−0.2533 (0.027)\", \"bbox\": [306, 186, 369, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [63, 197, 123, 208]}, {\"cell\": \"−0.9670 (0.68)\", \"bbox\": [205, 197, 262, 208]}, {\"cell\": \"−0.3022 (0.098)\", \"bbox\": [306, 197, 369, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [65, 208, 122, 219]}, {\"cell\": \"0.5038 (0.330)\", \"bbox\": [206, 208, 261, 219]}, {\"cell\": \"0.1273 (0.309)\", \"bbox\": [310, 208, 365, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [62, 219, 124, 230]}, {\"cell\": \"0.9243 (0.078)\", \"bbox\": [206, 219, 261, 230]}, {\"cell\": \"0.2470 (0.076)\", \"bbox\": [310, 219, 365, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [69, 230, 118, 241]}, {\"cell\": \"0.7043 (0.140)\", \"bbox\": [206, 230, 261, 241]}, {\"cell\": \"0.2053 (0.162)\", \"bbox\": [310, 230, 365, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [75, 241, 111, 252]}, {\"cell\": \"0.3927 (0.347)\", \"bbox\": [206, 241, 261, 252]}, {\"cell\": \"0.0997 (0.341)\", \"bbox\": [310, 241, 365, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [69, 252, 117, 263]}, {\"cell\": \"1.6560 (0.016)\", \"bbox\": [206, 252, 261, 263]}, {\"cell\": \"0.2792 (0.001)\", \"bbox\": [310, 252, 365, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [75, 263, 111, 274]}, {\"cell\": \"0.8768 (0.511)\", \"bbox\": [206, 263, 261, 274]}, {\"cell\": \"0.1526 (0.274)\", \"bbox\": [310, 263, 365, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [44, 274, 142, 285]}, {\"cell\": \"120\", \"bbox\": [226, 274, 241, 285]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 285, 177, 296]}, {\"cell\": \"0.4014\", \"bbox\": [220, 285, 247, 296]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [44, 296, 142, 307]}, {\"cell\": \"58.15\", \"bbox\": [222, 296, 244, 307]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [53, 307, 133, 318]}, {\"cell\": \"21\", \"bbox\": [228, 307, 239, 318]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [48, 318, 138, 329]}, {\"cell\": \"0.0000\", \"bbox\": [220, 318, 247, 329]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5302353_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Cytokines and chemokinesSpearman’s rho [ρ] coefficientp value (Bonferroni adjusted)
[EMPTY_CELL]
[EMPTY_CELL]
[EMPTY_CELL]0.9< 0.001
[EMPTY_CELL]0.6< 0.001
[EMPTY_CELL]0.5< 0.001
[EMPTY_CELL]0.3< 0.024
[EMPTY_CELL]
[EMPTY_CELL]0.9< 0.001
[EMPTY_CELL]0.6< 0.001
[EMPTY_CELL]0.5< 0.001
[EMPTY_CELL]
[EMPTY_CELL]
[EMPTY_CELL]0.6< 0.001
[EMPTY_CELL]0.6< 0.001
[EMPTY_CELL]0.4< 0.001
[EMPTY_CELL]
[EMPTY_CELL]0.6< 0.001
[EMPTY_CELL]0.6< 0.001
[EMPTY_CELL]0.4< 0 .001
[EMPTY_CELL]0.3< 0.015
[EMPTY_CELL]
[EMPTY_CELL]
[EMPTY_CELL]0.30.018
[EMPTY_CELL]0.30.004
[EMPTY_CELL]0.30.110
[EMPTY_CELL]
[EMPTY_CELL]0.30.018
[EMPTY_CELL]0.30.004
[EMPTY_CELL]0.30.110
[EMPTY_CELL]
[EMPTY_CELL]
[EMPTY_CELL]0.4< 0.001
[EMPTY_CELL]
[EMPTY_CELL]
[EMPTY_CELL]0.30.001
[EMPTY_CELL]
[EMPTY_CELL]0.5< 0.001
[EMPTY_CELL]0.3< 0.001
[EMPTY_CELL]0.3< 0.001
[EMPTY_CELL]
[EMPTY_CELL]
[EMPTY_CELL]− 0.3< 0.001
[EMPTY_CELL]
[EMPTY_CELL]− 0.30.011
\", \"cells\": [{\"cell\": \"Cytokines and chemokines\", \"bbox\": [1, 4, 95, 14]}, {\"cell\": \"Spearman’s rho [ρ] coefficient\", \"bbox\": [119, 4, 174, 23]}, {\"cell\": \"p value (Bonferroni adjusted)\", \"bbox\": [184, 4, 225, 32]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 40, 58, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 52, 60, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 64, 55, 74]}, {\"cell\": \"0.9\", \"bbox\": [119, 64, 130, 74]}, {\"cell\": \"< 0.001\", \"bbox\": [184, 64, 208, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 76, 52, 86]}, {\"cell\": \"0.6\", \"bbox\": [119, 76, 130, 86]}, {\"cell\": \"< 0.001\", \"bbox\": [184, 76, 208, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 89, 56, 98]}, {\"cell\": \"0.5\", \"bbox\": [119, 89, 130, 98]}, {\"cell\": \"< 0.001\", \"bbox\": [184, 89, 208, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 101, 51, 110]}, {\"cell\": \"0.3\", \"bbox\": [119, 101, 130, 110]}, {\"cell\": \"< 0.024\", \"bbox\": [184, 101, 208, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 113, 43, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 125, 55, 134]}, {\"cell\": \"0.9\", \"bbox\": [119, 125, 130, 134]}, {\"cell\": \"< 0.001\", \"bbox\": [184, 125, 208, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 137, 52, 146]}, {\"cell\": \"0.6\", \"bbox\": [119, 137, 130, 146]}, {\"cell\": \"< 0.001\", \"bbox\": [184, 137, 208, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 149, 56, 159]}, {\"cell\": \"0.5\", \"bbox\": [119, 149, 130, 159]}, {\"cell\": \"< 0.001\", \"bbox\": [184, 149, 208, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 161, 107, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 173, 60, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 185, 55, 195]}, {\"cell\": \"0.6\", \"bbox\": [119, 185, 130, 195]}, {\"cell\": \"< 0.001\", \"bbox\": [184, 185, 208, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 197, 59, 207]}, {\"cell\": \"0.6\", \"bbox\": [119, 197, 130, 207]}, {\"cell\": \"< 0.001\", \"bbox\": [184, 197, 208, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 210, 56, 219]}, {\"cell\": \"0.4\", \"bbox\": [119, 210, 130, 219]}, {\"cell\": \"< 0.001\", \"bbox\": [184, 210, 208, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 222, 43, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 234, 54, 243]}, {\"cell\": \"0.6\", \"bbox\": [119, 234, 130, 243]}, {\"cell\": \"< 0.001\", \"bbox\": [184, 234, 208, 243]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 246, 59, 255]}, {\"cell\": \"0.6\", \"bbox\": [119, 246, 130, 255]}, {\"cell\": \"< 0.001\", \"bbox\": [184, 246, 208, 255]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 258, 56, 267]}, {\"cell\": \"0.4\", \"bbox\": [119, 258, 130, 267]}, {\"cell\": \"< 0 .001\", \"bbox\": [184, 258, 209, 267]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 270, 55, 280]}, {\"cell\": \"0.3\", \"bbox\": [119, 270, 130, 280]}, {\"cell\": \"< 0.015\", \"bbox\": [184, 270, 208, 280]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 282, 14, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 294, 60, 304]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 306, 55, 316]}, {\"cell\": \"0.3\", \"bbox\": [119, 306, 130, 316]}, {\"cell\": \"0.018\", \"bbox\": [184, 306, 203, 316]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 318, 56, 328]}, {\"cell\": \"0.3\", \"bbox\": [119, 318, 130, 328]}, {\"cell\": \"0.004\", \"bbox\": [184, 318, 203, 328]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 331, 60, 340]}, {\"cell\": \"0.3\", \"bbox\": [119, 331, 130, 340]}, {\"cell\": \"0.110\", \"bbox\": [184, 331, 203, 340]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 343, 43, 352]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 355, 55, 364]}, {\"cell\": \"0.3\", \"bbox\": [119, 355, 130, 364]}, {\"cell\": \"0.018\", \"bbox\": [184, 355, 203, 364]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 367, 56, 376]}, {\"cell\": \"0.3\", \"bbox\": [119, 367, 130, 376]}, {\"cell\": \"0.004\", \"bbox\": [184, 367, 203, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 379, 60, 388]}, {\"cell\": \"0.3\", \"bbox\": [119, 379, 130, 388]}, {\"cell\": \"0.110\", \"bbox\": [184, 379, 203, 388]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 391, 14, 402]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 403, 43, 413]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 415, 51, 425]}, {\"cell\": \"0.4\", \"bbox\": [119, 415, 130, 425]}, {\"cell\": \"< 0.001\", \"bbox\": [184, 415, 208, 425]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 427, 40, 438]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 439, 60, 449]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 452, 56, 461]}, {\"cell\": \"0.3\", \"bbox\": [119, 452, 130, 461]}, {\"cell\": \"0.001\", \"bbox\": [184, 452, 203, 461]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 464, 43, 473]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 476, 56, 485]}, {\"cell\": \"0.5\", \"bbox\": [119, 476, 130, 485]}, {\"cell\": \"< 0.001\", \"bbox\": [184, 476, 208, 485]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 488, 55, 497]}, {\"cell\": \"0.3\", \"bbox\": [119, 488, 130, 497]}, {\"cell\": \"< 0.001\", \"bbox\": [184, 488, 208, 497]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 500, 51, 509]}, {\"cell\": \"0.3\", \"bbox\": [119, 500, 130, 509]}, {\"cell\": \"< 0.001\", \"bbox\": [184, 500, 208, 509]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 512, 68, 523]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 524, 60, 534]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 536, 56, 546]}, {\"cell\": \"− 0.3\", \"bbox\": [119, 536, 137, 546]}, {\"cell\": \"< 0.001\", \"bbox\": [184, 536, 208, 546]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 548, 43, 558]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 561, 55, 570]}, {\"cell\": \"− 0.3\", \"bbox\": [119, 561, 137, 570]}, {\"cell\": \"0.011\", \"bbox\": [184, 561, 203, 570]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5944101_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
GO Biological ProcessGO AccessionNumber of genesPvalue (FDR adjusted)D
RNA splicingGO:0008380122[EMPTY_CELL]0.21
DNA repairGO:0006281116[EMPTY_CELL]0.17
Protein modification by small protein conjugationGO:0032446122[EMPTY_CELL]0.17
Viral reproductionGO:0016032140[EMPTY_CELL]0.15
mRNA processingGO:0006397163[EMPTY_CELL]0.18
Interphase of mitotic cell cycleGO:0051329170[EMPTY_CELL]0.16
Protein catabolic processGO:0030163196[EMPTY_CELL]0.15
InterphaseGO:0051325172[EMPTY_CELL]0.15
RNA splicing, via transesterification reactionsGO:000037583[EMPTY_CELL]0.22
Protein ubiquitinationGO:0016567119[EMPTY_CELL]0.15
TranslationGO:0006412101[EMPTY_CELL]0.16
rRNA metabolic processGO:001607230[EMPTY_CELL]0.33
Chromatin modificationGO:001656897[EMPTY_CELL]0.15
M phaseGO:0000279165[EMPTY_CELL]0.13
Cellular protein catabolic processGO:0044257164[EMPTY_CELL]0.14
rRNA processingGO:000636428[EMPTY_CELL]0.33
\", \"cells\": [{\"cell\": \"GO Biological Process\", \"bbox\": [1, 4, 78, 13]}, {\"cell\": \"GO Accession\", \"bbox\": [191, 4, 240, 13]}, {\"cell\": \"Number of genes\", \"bbox\": [269, 4, 332, 13]}, {\"cell\": \"Pvalue (FDR adjusted)\", \"bbox\": [360, 4, 441, 13]}, {\"cell\": \"D\", \"bbox\": [470, 4, 477, 13]}, {\"cell\": \"RNA splicing\", \"bbox\": [0, 17, 43, 27]}, {\"cell\": \"GO:0008380\", \"bbox\": [191, 17, 232, 27]}, {\"cell\": \"122\", \"bbox\": [269, 17, 283, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 17, 389, 27]}, {\"cell\": \"0.21\", \"bbox\": [470, 17, 484, 27]}, {\"cell\": \"DNA repair\", \"bbox\": [0, 31, 38, 41]}, {\"cell\": \"GO:0006281\", \"bbox\": [191, 31, 232, 41]}, {\"cell\": \"116\", \"bbox\": [269, 31, 283, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 31, 389, 41]}, {\"cell\": \"0.17\", \"bbox\": [470, 31, 484, 41]}, {\"cell\": \"Protein modification by small protein conjugation\", \"bbox\": [0, 45, 163, 55]}, {\"cell\": \"GO:0032446\", \"bbox\": [191, 45, 232, 55]}, {\"cell\": \"122\", \"bbox\": [269, 45, 283, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 45, 389, 55]}, {\"cell\": \"0.17\", \"bbox\": [470, 45, 484, 55]}, {\"cell\": \"Viral reproduction\", \"bbox\": [0, 59, 60, 69]}, {\"cell\": \"GO:0016032\", \"bbox\": [191, 59, 232, 69]}, {\"cell\": \"140\", \"bbox\": [269, 59, 283, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 59, 389, 69]}, {\"cell\": \"0.15\", \"bbox\": [470, 59, 484, 69]}, {\"cell\": \"mRNA processing\", \"bbox\": [0, 73, 59, 83]}, {\"cell\": \"GO:0006397\", \"bbox\": [191, 73, 232, 83]}, {\"cell\": \"163\", \"bbox\": [269, 73, 283, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 73, 389, 83]}, {\"cell\": \"0.18\", \"bbox\": [470, 73, 484, 83]}, {\"cell\": \"Interphase of mitotic cell cycle\", \"bbox\": [0, 87, 101, 97]}, {\"cell\": \"GO:0051329\", \"bbox\": [191, 87, 232, 97]}, {\"cell\": \"170\", \"bbox\": [269, 87, 283, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 87, 389, 97]}, {\"cell\": \"0.16\", \"bbox\": [470, 87, 484, 97]}, {\"cell\": \"Protein catabolic process\", \"bbox\": [0, 101, 82, 111]}, {\"cell\": \"GO:0030163\", \"bbox\": [191, 101, 232, 111]}, {\"cell\": \"196\", \"bbox\": [269, 101, 283, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 101, 389, 111]}, {\"cell\": \"0.15\", \"bbox\": [470, 101, 484, 111]}, {\"cell\": \"Interphase\", \"bbox\": [0, 115, 36, 125]}, {\"cell\": \"GO:0051325\", \"bbox\": [191, 115, 232, 125]}, {\"cell\": \"172\", \"bbox\": [269, 115, 283, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 115, 389, 125]}, {\"cell\": \"0.15\", \"bbox\": [470, 115, 484, 125]}, {\"cell\": \"RNA splicing, via transesterification reactions\", \"bbox\": [0, 129, 145, 139]}, {\"cell\": \"GO:0000375\", \"bbox\": [191, 129, 232, 139]}, {\"cell\": \"83\", \"bbox\": [269, 129, 279, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 129, 389, 139]}, {\"cell\": \"0.22\", \"bbox\": [470, 129, 484, 139]}, {\"cell\": \"Protein ubiquitination\", \"bbox\": [0, 143, 72, 153]}, {\"cell\": \"GO:0016567\", \"bbox\": [191, 143, 232, 153]}, {\"cell\": \"119\", \"bbox\": [269, 143, 283, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 143, 389, 153]}, {\"cell\": \"0.15\", \"bbox\": [470, 143, 484, 153]}, {\"cell\": \"Translation\", \"bbox\": [0, 157, 37, 167]}, {\"cell\": \"GO:0006412\", \"bbox\": [191, 157, 232, 167]}, {\"cell\": \"101\", \"bbox\": [269, 157, 283, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 157, 389, 167]}, {\"cell\": \"0.16\", \"bbox\": [470, 157, 484, 167]}, {\"cell\": \"rRNA metabolic process\", \"bbox\": [0, 171, 79, 181]}, {\"cell\": \"GO:0016072\", \"bbox\": [191, 171, 232, 181]}, {\"cell\": \"30\", \"bbox\": [269, 171, 279, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 171, 389, 181]}, {\"cell\": \"0.33\", \"bbox\": [470, 171, 484, 181]}, {\"cell\": \"Chromatin modification\", \"bbox\": [0, 185, 79, 195]}, {\"cell\": \"GO:0016568\", \"bbox\": [191, 185, 232, 195]}, {\"cell\": \"97\", \"bbox\": [269, 185, 279, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 185, 389, 195]}, {\"cell\": \"0.15\", \"bbox\": [470, 185, 484, 195]}, {\"cell\": \"M phase\", \"bbox\": [0, 199, 30, 209]}, {\"cell\": \"GO:0000279\", \"bbox\": [191, 199, 232, 209]}, {\"cell\": \"165\", \"bbox\": [269, 199, 283, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 199, 389, 209]}, {\"cell\": \"0.13\", \"bbox\": [470, 199, 484, 209]}, {\"cell\": \"Cellular protein catabolic process\", \"bbox\": [0, 213, 109, 223]}, {\"cell\": \"GO:0044257\", \"bbox\": [191, 213, 232, 223]}, {\"cell\": \"164\", \"bbox\": [269, 213, 283, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 213, 389, 223]}, {\"cell\": \"0.14\", \"bbox\": [470, 213, 484, 223]}, {\"cell\": \"rRNA processing\", \"bbox\": [0, 227, 55, 237]}, {\"cell\": \"GO:0006364\", \"bbox\": [191, 227, 232, 237]}, {\"cell\": \"28\", \"bbox\": [269, 227, 279, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 227, 389, 237]}, {\"cell\": \"0.33\", \"bbox\": [470, 227, 484, 237]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4255932_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
PeriodMaternal educational attainment, HR (95% CI)
No education vs secondary or morePrimary incomplete vs secondary or morePrimary complete vs secondary or more
Ifakara[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
2000–2001[EMPTY_CELL]1.28 (1.02–1.60)1.11 (0.96–1.29)
2002–2003[EMPTY_CELL]1.27 (1.07–1.50)1.10 (0.99–1.23)
2004–2005[EMPTY_CELL]1.26 (1.11–1.43)1.09 (1.00–1.19)
2006–2007[EMPTY_CELL]1.25 (1.11–1.41)1.08 (1.00–1.17)
2008–2009[EMPTY_CELL]1.24 (1.06–1.45)1.07 (0.97–1.18)
2010–2011[EMPTY_CELL]1.23 (1.00–1.52)1.06 (0.92–1.21)
Rufiji[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
2000–2001[EMPTY_CELL]1.22 (1.00–1.48)1.08 (0.95–1.22)
2002–2003[EMPTY_CELL]1.18 (1.02–1.37)1.06 (0.97–1.17)
2004–2005[EMPTY_CELL]1.14 (1.01–1.28)1.05 (0.98–1.13)
2006–2007[EMPTY_CELL]1.10 (0.98–1.24)1.04 (0.96–1.12)
2008–2009[EMPTY_CELL]1.07 (0.92–1.24)1.03 (0.93–1.13)
2010–2011[EMPTY_CELL]1.03 (0.84–1.26)1.01 (0.89–1.15)
All[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
2000–2001[EMPTY_CELL]1.29 (1.11–1.49)1.12 (1.01–1.23)
2002–2003[EMPTY_CELL]1.26 (1.13–1.41)1.10 (1.03–1.18)
2004–2005[EMPTY_CELL]1.23 (1.13–1.34)1.09 (1.03–1.15)
2006–2007[EMPTY_CELL]1.20 (1.11–1.31)1.08 (1.02–1.13)
2008–2009[EMPTY_CELL]1.18 (1.06–1.31)1.06 (0.99–1.14)
2010–2011[EMPTY_CELL]1.15 (1.00–1.33)1.05 (0.96–1.15)
\", \"cells\": [{\"cell\": \"Period\", \"bbox\": [3, 5, 27, 16]}, {\"cell\": \"Maternal educational attainment, HR (95% CI)\", \"bbox\": [113, 5, 267, 16]}, {\"cell\": \"No education vs secondary or more\", \"bbox\": [74, 22, 137, 45]}, {\"cell\": \"Primary incomplete vs secondary or more\", \"bbox\": [152, 22, 228, 45]}, {\"cell\": \"Primary complete vs secondary or more\", \"bbox\": [240, 22, 309, 45]}, {\"cell\": \"Ifakara\", \"bbox\": [3, 49, 30, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2000–2001\", \"bbox\": [3, 61, 42, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 61, 134, 70]}, {\"cell\": \"1.28 (1.02–1.60)\", \"bbox\": [164, 61, 218, 70]}, {\"cell\": \"1.11 (0.96–1.29)\", \"bbox\": [249, 61, 303, 70]}, {\"cell\": \"2002–2003\", \"bbox\": [3, 72, 42, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 72, 134, 82]}, {\"cell\": \"1.27 (1.07–1.50)\", \"bbox\": [164, 72, 218, 82]}, {\"cell\": \"1.10 (0.99–1.23)\", \"bbox\": [249, 72, 303, 82]}, {\"cell\": \"2004–2005\", \"bbox\": [3, 84, 42, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 84, 134, 93]}, {\"cell\": \"1.26 (1.11–1.43)\", \"bbox\": [164, 84, 218, 93]}, {\"cell\": \"1.09 (1.00–1.19)\", \"bbox\": [249, 84, 303, 93]}, {\"cell\": \"2006–2007\", \"bbox\": [3, 96, 42, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 96, 134, 105]}, {\"cell\": \"1.25 (1.11–1.41)\", \"bbox\": [164, 96, 218, 105]}, {\"cell\": \"1.08 (1.00–1.17)\", \"bbox\": [249, 96, 303, 105]}, {\"cell\": \"2008–2009\", \"bbox\": [3, 108, 42, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 108, 134, 117]}, {\"cell\": \"1.24 (1.06–1.45)\", \"bbox\": [164, 108, 218, 117]}, {\"cell\": \"1.07 (0.97–1.18)\", \"bbox\": [249, 108, 303, 117]}, {\"cell\": \"2010–2011\", \"bbox\": [3, 119, 42, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 119, 134, 129]}, {\"cell\": \"1.23 (1.00–1.52)\", \"bbox\": [164, 119, 218, 129]}, {\"cell\": \"1.06 (0.92–1.21)\", \"bbox\": [249, 119, 303, 129]}, {\"cell\": \"Rufiji\", \"bbox\": [3, 131, 24, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2000–2001\", \"bbox\": [3, 143, 42, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 143, 134, 152]}, {\"cell\": \"1.22 (1.00–1.48)\", \"bbox\": [164, 143, 218, 152]}, {\"cell\": \"1.08 (0.95–1.22)\", \"bbox\": [249, 143, 303, 152]}, {\"cell\": \"2002–2003\", \"bbox\": [3, 155, 42, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 155, 134, 164]}, {\"cell\": \"1.18 (1.02–1.37)\", \"bbox\": [164, 155, 218, 164]}, {\"cell\": \"1.06 (0.97–1.17)\", \"bbox\": [249, 155, 303, 164]}, {\"cell\": \"2004–2005\", \"bbox\": [3, 166, 42, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 166, 134, 176]}, {\"cell\": \"1.14 (1.01–1.28)\", \"bbox\": [164, 166, 218, 176]}, {\"cell\": \"1.05 (0.98–1.13)\", \"bbox\": [249, 166, 303, 176]}, {\"cell\": \"2006–2007\", \"bbox\": [3, 178, 42, 187]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 178, 134, 187]}, {\"cell\": \"1.10 (0.98–1.24)\", \"bbox\": [164, 178, 218, 187]}, {\"cell\": \"1.04 (0.96–1.12)\", \"bbox\": [249, 178, 303, 187]}, {\"cell\": \"2008–2009\", \"bbox\": [3, 190, 42, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 190, 134, 199]}, {\"cell\": \"1.07 (0.92–1.24)\", \"bbox\": [164, 190, 218, 199]}, {\"cell\": \"1.03 (0.93–1.13)\", \"bbox\": [249, 190, 303, 199]}, {\"cell\": \"2010–2011\", \"bbox\": [3, 202, 42, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 202, 134, 211]}, {\"cell\": \"1.03 (0.84–1.26)\", \"bbox\": [164, 202, 218, 211]}, {\"cell\": \"1.01 (0.89–1.15)\", \"bbox\": [249, 202, 303, 211]}, {\"cell\": \"All\", \"bbox\": [3, 213, 15, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2000–2001\", \"bbox\": [3, 225, 42, 234]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 225, 134, 234]}, {\"cell\": \"1.29 (1.11–1.49)\", \"bbox\": [164, 225, 218, 234]}, {\"cell\": \"1.12 (1.01–1.23)\", \"bbox\": [249, 225, 303, 234]}, {\"cell\": \"2002–2003\", \"bbox\": [3, 237, 42, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 237, 134, 246]}, {\"cell\": \"1.26 (1.13–1.41)\", \"bbox\": [164, 237, 218, 246]}, {\"cell\": \"1.10 (1.03–1.18)\", \"bbox\": [249, 237, 303, 246]}, {\"cell\": \"2004–2005\", \"bbox\": [3, 249, 42, 258]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 249, 134, 258]}, {\"cell\": \"1.23 (1.13–1.34)\", \"bbox\": [164, 249, 218, 258]}, {\"cell\": \"1.09 (1.03–1.15)\", \"bbox\": [249, 249, 303, 258]}, {\"cell\": \"2006–2007\", \"bbox\": [3, 260, 42, 270]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 260, 134, 270]}, {\"cell\": \"1.20 (1.11–1.31)\", \"bbox\": [164, 260, 218, 270]}, {\"cell\": \"1.08 (1.02–1.13)\", \"bbox\": [249, 260, 303, 270]}, {\"cell\": \"2008–2009\", \"bbox\": [3, 272, 42, 281]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 272, 134, 281]}, {\"cell\": \"1.18 (1.06–1.31)\", \"bbox\": [164, 272, 218, 281]}, {\"cell\": \"1.06 (0.99–1.14)\", \"bbox\": [249, 272, 303, 281]}, {\"cell\": \"2010–2011\", \"bbox\": [3, 284, 42, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 284, 134, 293]}, {\"cell\": \"1.15 (1.00–1.33)\", \"bbox\": [164, 284, 218, 293]}, {\"cell\": \"1.05 (0.96–1.15)\", \"bbox\": [249, 284, 303, 293]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4794298_009_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Supervised groupn = 84Seminar groupn = 85Control group n = 97ANOVA P value
Outcome of service user (T2)*[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Satisfaction with communication, mean (SD)36.1 (6.0)[EMPTY_CELL]36.0 (6.1)0.869
General satisfaction with public health nurse, mean (SD)13.1 (2.4)[EMPTY_CELL]13.1 (2.2)0.556
Spontaneous behavior, mean (SD)11.2 (2.7)[EMPTY_CELL]11.1 (2.9)0.898
Outcome of service user (T3)†[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Satisfaction with communication, mean (SD)35.2 (6.2)[EMPTY_CELL]35.6 (5.7)0.872
General satisfaction with public health nurse, mean (SD)12.9 (2.4)[EMPTY_CELL]11.2 (2.6)0.914
Spontaneous behavior, mean (SD)10.9 (3.1)[EMPTY_CELL]11.2 (2.7)0.763
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Supervised groupn = 84\", \"bbox\": [224, 4, 289, 25]}, {\"cell\": \"Seminar groupn = 85\", \"bbox\": [312, 4, 368, 25]}, {\"cell\": \"Control group n = 97\", \"bbox\": [397, 4, 450, 25]}, {\"cell\": \"ANOVA P value\", \"bbox\": [468, 4, 500, 25]}, {\"cell\": \"Outcome of service user (T2)*\", \"bbox\": [2, 27, 114, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Satisfaction with communication, mean (SD)\", \"bbox\": [12, 41, 177, 51]}, {\"cell\": \"36.1 (6.0)\", \"bbox\": [239, 41, 275, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 41, 359, 52]}, {\"cell\": \"36.0 (6.1)\", \"bbox\": [406, 41, 442, 52]}, {\"cell\": \"0.869\", \"bbox\": [473, 41, 495, 52]}, {\"cell\": \" General satisfaction with public health nurse, mean (SD)\", \"bbox\": [12, 54, 218, 64]}, {\"cell\": \"13.1 (2.4)\", \"bbox\": [239, 55, 275, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 55, 359, 65]}, {\"cell\": \"13.1 (2.2)\", \"bbox\": [406, 55, 442, 65]}, {\"cell\": \"0.556\", \"bbox\": [473, 55, 495, 65]}, {\"cell\": \" Spontaneous behavior, mean (SD)\", \"bbox\": [12, 67, 138, 77]}, {\"cell\": \"11.2 (2.7)\", \"bbox\": [239, 68, 275, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 68, 359, 78]}, {\"cell\": \"11.1 (2.9)\", \"bbox\": [406, 68, 442, 78]}, {\"cell\": \"0.898\", \"bbox\": [473, 68, 495, 78]}, {\"cell\": \"Outcome of service user (T3)†\", \"bbox\": [2, 80, 113, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Satisfaction with communication, mean (SD)\", \"bbox\": [12, 94, 177, 105]}, {\"cell\": \"35.2 (6.2)\", \"bbox\": [239, 95, 275, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 95, 359, 105]}, {\"cell\": \"35.6 (5.7)\", \"bbox\": [406, 95, 442, 105]}, {\"cell\": \"0.872\", \"bbox\": [473, 95, 495, 105]}, {\"cell\": \" General satisfaction with public health nurse, mean (SD)\", \"bbox\": [12, 107, 218, 118]}, {\"cell\": \"12.9 (2.4)\", \"bbox\": [239, 108, 275, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 108, 359, 118]}, {\"cell\": \"11.2 (2.6)\", \"bbox\": [406, 108, 442, 118]}, {\"cell\": \"0.914\", \"bbox\": [473, 108, 495, 118]}, {\"cell\": \" Spontaneous behavior, mean (SD)\", \"bbox\": [12, 120, 138, 131]}, {\"cell\": \"10.9 (3.1)\", \"bbox\": [239, 121, 275, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 121, 359, 131]}, {\"cell\": \"11.2 (2.7)\", \"bbox\": [406, 121, 442, 131]}, {\"cell\": \"0.763\", \"bbox\": [473, 121, 495, 131]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3507045_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL][EMPTY_CELL]Females[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]Males[EMPTY_CELL][EMPTY_CELL]
Source of variationdfVar Comp%FPdfVar Comp%FP
Band4.1 inhibitor LRP interactor (2)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Family*5[EMPTY_CELL]14.5< 0.0001553.631.7< 0.0001
Genotype*4[EMPTY_CELL]1.70.1641.11.60.17
Error177[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]202[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
CG33692 (1)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Family*5[EMPTY_CELL]13.2< 0.0001538.618.2< 0.0001
Genotype*7[EMPTY_CELL]2.70.01176.83.50.0013
Error168[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]200[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Corto (2)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Family*5[EMPTY_CELL]10.5< 0.0001546.118.4< 0.0001
Genotype*9[EMPTY_CELL]2.10.03591.11.30.23
Error175[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]200[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Ecdysone-induced protein 75B (1)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Family*4[EMPTY_CELL]14.3< 0.0001443.319.2< 0.0001
Genotype*2[EMPTY_CELL]4.60.01221.21.80.18
Error134[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]119[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
3531953:1 (X)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Family*4[EMPTY_CELL]16.2< 0.0001450.622.6< 0.0001
Genotype*5[EMPTY_CELL]0.70.5956.54.50.0049
Error143[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]144[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Females\", \"bbox\": [166, 4, 196, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Males\", \"bbox\": [343, 4, 365, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Source of variation\", \"bbox\": [0, 16, 69, 25]}, {\"cell\": \"df\", \"bbox\": [134, 16, 143, 25]}, {\"cell\": \"Var Comp%\", \"bbox\": [166, 16, 209, 25]}, {\"cell\": \"F\", \"bbox\": [228, 16, 234, 25]}, {\"cell\": \"P\", \"bbox\": [262, 16, 269, 25]}, {\"cell\": \"df\", \"bbox\": [311, 16, 320, 25]}, {\"cell\": \"Var Comp%\", \"bbox\": [343, 16, 387, 25]}, {\"cell\": \"F\", \"bbox\": [406, 16, 412, 25]}, {\"cell\": \"P\", \"bbox\": [440, 16, 446, 25]}, {\"cell\": \"Band4.1 inhibitor LRP interactor (2)\", \"bbox\": [0, 29, 115, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Family*\", \"bbox\": [15, 41, 41, 51]}, {\"cell\": \"5\", \"bbox\": [134, 41, 139, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 41, 181, 51]}, {\"cell\": \"14.5\", \"bbox\": [228, 41, 243, 51]}, {\"cell\": \"< 0.0001\", \"bbox\": [262, 41, 292, 51]}, {\"cell\": \"5\", \"bbox\": [311, 41, 317, 51]}, {\"cell\": \"53.6\", \"bbox\": [343, 41, 358, 51]}, {\"cell\": \"31.7\", \"bbox\": [406, 41, 421, 51]}, {\"cell\": \"< 0.0001\", \"bbox\": [440, 41, 469, 51]}, {\"cell\": \" Genotype*\", \"bbox\": [15, 53, 52, 63]}, {\"cell\": \"4\", \"bbox\": [134, 53, 139, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 53, 177, 63]}, {\"cell\": \"1.7\", \"bbox\": [228, 53, 239, 63]}, {\"cell\": \"0.16\", \"bbox\": [262, 53, 277, 63]}, {\"cell\": \"4\", \"bbox\": [311, 53, 317, 63]}, {\"cell\": \"1.1\", \"bbox\": [343, 53, 354, 63]}, {\"cell\": \"1.6\", \"bbox\": [406, 53, 417, 63]}, {\"cell\": \"0.17\", \"bbox\": [440, 53, 454, 63]}, {\"cell\": \" Error\", \"bbox\": [15, 65, 32, 75]}, {\"cell\": \"177\", \"bbox\": [134, 65, 147, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"202\", \"bbox\": [311, 65, 324, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CG33692 (1)\", \"bbox\": [1, 77, 42, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Family*\", \"bbox\": [15, 89, 41, 98]}, {\"cell\": \"5\", \"bbox\": [134, 89, 139, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 89, 181, 98]}, {\"cell\": \"13.2\", \"bbox\": [228, 89, 243, 98]}, {\"cell\": \"< 0.0001\", \"bbox\": [262, 89, 292, 98]}, {\"cell\": \"5\", \"bbox\": [311, 89, 317, 98]}, {\"cell\": \"38.6\", \"bbox\": [343, 89, 358, 98]}, {\"cell\": \"18.2\", \"bbox\": [406, 89, 421, 98]}, {\"cell\": \"< 0.0001\", \"bbox\": [440, 89, 469, 98]}, {\"cell\": \" Genotype*\", \"bbox\": [15, 101, 52, 110]}, {\"cell\": \"7\", \"bbox\": [134, 101, 139, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 101, 177, 110]}, {\"cell\": \"2.7\", \"bbox\": [228, 101, 239, 110]}, {\"cell\": \"0.011\", \"bbox\": [262, 101, 281, 110]}, {\"cell\": \"7\", \"bbox\": [311, 101, 317, 110]}, {\"cell\": \"6.8\", \"bbox\": [343, 101, 354, 110]}, {\"cell\": \"3.5\", \"bbox\": [406, 101, 417, 110]}, {\"cell\": \"0.0013\", \"bbox\": [440, 101, 462, 110]}, {\"cell\": \" Error\", \"bbox\": [15, 113, 32, 122]}, {\"cell\": \"168\", \"bbox\": [134, 113, 147, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"200\", \"bbox\": [311, 113, 324, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Corto (2)\", \"bbox\": [1, 125, 31, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Family*\", \"bbox\": [15, 137, 41, 146]}, {\"cell\": \"5\", \"bbox\": [134, 137, 139, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 137, 181, 146]}, {\"cell\": \"10.5\", \"bbox\": [228, 137, 243, 146]}, {\"cell\": \"< 0.0001\", \"bbox\": [262, 137, 292, 146]}, {\"cell\": \"5\", \"bbox\": [311, 137, 317, 146]}, {\"cell\": \"46.1\", \"bbox\": [343, 137, 358, 146]}, {\"cell\": \"18.4\", \"bbox\": [406, 137, 421, 146]}, {\"cell\": \"< 0.0001\", \"bbox\": [440, 137, 469, 146]}, {\"cell\": \" Genotype*\", \"bbox\": [15, 149, 52, 158]}, {\"cell\": \"9\", \"bbox\": [134, 149, 139, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 149, 177, 158]}, {\"cell\": \"2.1\", \"bbox\": [228, 149, 239, 158]}, {\"cell\": \"0.035\", \"bbox\": [262, 149, 281, 158]}, {\"cell\": \"9\", \"bbox\": [311, 149, 317, 158]}, {\"cell\": \"1.1\", \"bbox\": [343, 149, 354, 158]}, {\"cell\": \"1.3\", \"bbox\": [406, 149, 417, 158]}, {\"cell\": \"0.23\", \"bbox\": [440, 149, 454, 158]}, {\"cell\": \" Error\", \"bbox\": [15, 161, 32, 170]}, {\"cell\": \"175\", \"bbox\": [134, 161, 147, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"200\", \"bbox\": [311, 161, 324, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ecdysone-induced protein 75B (1)\", \"bbox\": [1, 173, 111, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Family*\", \"bbox\": [15, 185, 41, 194]}, {\"cell\": \"4\", \"bbox\": [134, 185, 139, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 185, 181, 194]}, {\"cell\": \"14.3\", \"bbox\": [228, 185, 243, 194]}, {\"cell\": \"< 0.0001\", \"bbox\": [262, 185, 292, 194]}, {\"cell\": \"4\", \"bbox\": [311, 185, 317, 194]}, {\"cell\": \"43.3\", \"bbox\": [343, 185, 358, 194]}, {\"cell\": \"19.2\", \"bbox\": [406, 185, 421, 194]}, {\"cell\": \"< 0.0001\", \"bbox\": [440, 185, 469, 194]}, {\"cell\": \" Genotype*\", \"bbox\": [15, 197, 52, 206]}, {\"cell\": \"2\", \"bbox\": [134, 197, 139, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 197, 177, 206]}, {\"cell\": \"4.6\", \"bbox\": [228, 197, 239, 206]}, {\"cell\": \"0.012\", \"bbox\": [262, 197, 281, 206]}, {\"cell\": \"2\", \"bbox\": [311, 197, 317, 206]}, {\"cell\": \"1.2\", \"bbox\": [343, 197, 354, 206]}, {\"cell\": \"1.8\", \"bbox\": [406, 197, 417, 206]}, {\"cell\": \"0.18\", \"bbox\": [440, 197, 454, 206]}, {\"cell\": \" Error\", \"bbox\": [15, 209, 32, 218]}, {\"cell\": \"134\", \"bbox\": [134, 209, 147, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"119\", \"bbox\": [311, 209, 324, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3531953:1 (X)\", \"bbox\": [1, 220, 45, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Family*\", \"bbox\": [15, 232, 41, 242]}, {\"cell\": \"4\", \"bbox\": [134, 232, 139, 242]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 232, 181, 242]}, {\"cell\": \"16.2\", \"bbox\": [228, 232, 243, 242]}, {\"cell\": \"< 0.0001\", \"bbox\": [262, 232, 292, 242]}, {\"cell\": \"4\", \"bbox\": [311, 232, 317, 242]}, {\"cell\": \"50.6\", \"bbox\": [343, 232, 358, 242]}, {\"cell\": \"22.6\", \"bbox\": [406, 232, 421, 242]}, {\"cell\": \"< 0.0001\", \"bbox\": [440, 232, 469, 242]}, {\"cell\": \" Genotype*\", \"bbox\": [15, 244, 52, 254]}, {\"cell\": \"5\", \"bbox\": [134, 244, 139, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 244, 179, 254]}, {\"cell\": \"0.7\", \"bbox\": [228, 244, 239, 254]}, {\"cell\": \"0.59\", \"bbox\": [262, 244, 277, 254]}, {\"cell\": \"5\", \"bbox\": [311, 244, 317, 254]}, {\"cell\": \"6.5\", \"bbox\": [343, 244, 354, 254]}, {\"cell\": \"4.5\", \"bbox\": [406, 244, 417, 254]}, {\"cell\": \"0.0049\", \"bbox\": [440, 244, 462, 254]}, {\"cell\": \" Error\", \"bbox\": [15, 256, 32, 266]}, {\"cell\": \"143\", \"bbox\": [134, 256, 147, 266]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"144\", \"bbox\": [311, 256, 324, 266]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3055267_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Descriptive Statistics
[EMPTY_CELL]17/17
[EMPTY_CELL]30.52±4.57
[EMPTY_CELL]12±2.91
[EMPTY_CELL]13.31±4.64
[EMPTY_CELL]3.50±1.74
[EMPTY_CELL]11/17
[EMPTY_CELL]8/17
[EMPTY_CELL]9/17
[EMPTY_CELL]12/17
[EMPTY_CELL]12/17
[EMPTY_CELL]4/17
[EMPTY_CELL]12/17
\", \"cells\": [{\"cell\": \"Descriptive Statistics\", \"bbox\": [189, 5, 266, 20]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 28, 201, 37]}, {\"cell\": \"17/17\", \"bbox\": [393, 28, 414, 37]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [167, 44, 188, 53]}, {\"cell\": \"30.52±4.57\", \"bbox\": [385, 44, 423, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 57, 198, 70]}, {\"cell\": \"12±2.91\", \"bbox\": [390, 60, 418, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 73, 249, 86]}, {\"cell\": \"13.31±4.64\", \"bbox\": [385, 76, 423, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [140, 89, 215, 102]}, {\"cell\": \"3.50±1.74\", \"bbox\": [387, 92, 421, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 105, 254, 118]}, {\"cell\": \"11/17\", \"bbox\": [393, 108, 414, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 121, 254, 134]}, {\"cell\": \"8/17\", \"bbox\": [395, 124, 412, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [84, 140, 271, 153]}, {\"cell\": \"9/17\", \"bbox\": [395, 143, 412, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 159, 255, 172]}, {\"cell\": \"12/17\", \"bbox\": [393, 162, 414, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [99, 175, 256, 188]}, {\"cell\": \"12/17\", \"bbox\": [393, 178, 414, 187]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [99, 192, 256, 205]}, {\"cell\": \"4/17\", \"bbox\": [395, 194, 412, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [94, 208, 261, 221]}, {\"cell\": \"12/17\", \"bbox\": [393, 211, 414, 220]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5691169_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Group 1Group 2
Cut-off of FibroTestSensitivitySpecificityPositive Predictive ValueNegative Predictive ValueSensitivitySpecificityPositive Predictive ValueNegative Predictive Value
Stage F2F3F4Prevalence = 0.24 (40/170)[EMPTY_CELL][EMPTY_CELL]Prevalence = 0.32 (31/97)
0.300.83 (33/40)0.78 (101/130)0.53 (33/62)0.94 (101/108)[EMPTY_CELL]0.74 (49/66)0.56 (22/39)0.84 (49/58)
0.700.18 (7/40)0.98 (128/130)0.78 (7/9)0.80 (128/161)[EMPTY_CELL]0.98 (65/66)0.80 (4/5)0.71 (65/92)
Stage F3F4Prevalence = 0.12 (20/170)[EMPTY_CELL][EMPTY_CELL]Prevalence = 0.16 (16/97)
0.300.95 (19/20)0.71 (107/150)0.31 (19/62)0.99 (107/108)[EMPTY_CELL]0.69 (56/81)0.36 (14/39)0.97 (56/58)
0.700.25 (5/20)0.97 (146/150)0.56 (5/9)0.91 (146/161)[EMPTY_CELL]0.99 (80/81)0.80 (4/5)0.87 (80/92)
% of patients with FT between 0.30–0.700.32 (54/170)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Group 1\", \"bbox\": [61, 5, 95, 14]}, {\"cell\": \"Group 2\", \"bbox\": [295, 5, 329, 14]}, {\"cell\": \"Cut-off of FibroTest\", \"bbox\": [4, 15, 44, 34]}, {\"cell\": \"Sensitivity\", \"bbox\": [61, 15, 103, 24]}, {\"cell\": \"Specificity\", \"bbox\": [117, 15, 159, 24]}, {\"cell\": \"Positive Predictive Value\", \"bbox\": [179, 15, 220, 43]}, {\"cell\": \"Negative Predictive Value\", \"bbox\": [234, 15, 276, 43]}, {\"cell\": \"Sensitivity\", \"bbox\": [295, 15, 337, 24]}, {\"cell\": \"Specificity\", \"bbox\": [346, 15, 388, 24]}, {\"cell\": \"Positive Predictive Value\", \"bbox\": [399, 15, 440, 43]}, {\"cell\": \"Negative Predictive Value\", \"bbox\": [451, 15, 492, 43]}, {\"cell\": \"Stage F2F3F4\", \"bbox\": [4, 56, 59, 65]}, {\"cell\": \"Prevalence = 0.24 (40/170)\", \"bbox\": [179, 55, 271, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Prevalence = 0.32 (31/97)\", \"bbox\": [399, 55, 487, 65]}, {\"cell\": \"0.30\", \"bbox\": [4, 78, 21, 87]}, {\"cell\": \"0.83 (33/40)\", \"bbox\": [61, 78, 104, 87]}, {\"cell\": \"0.78 (101/130)\", \"bbox\": [117, 78, 168, 87]}, {\"cell\": \"0.53 (33/62)\", \"bbox\": [179, 78, 221, 87]}, {\"cell\": \"0.94 (101/108)\", \"bbox\": [234, 78, 285, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 78, 338, 87]}, {\"cell\": \"0.74 (49/66)\", \"bbox\": [346, 78, 389, 87]}, {\"cell\": \"0.56 (22/39)\", \"bbox\": [399, 78, 442, 87]}, {\"cell\": \"0.84 (49/58)\", \"bbox\": [451, 78, 494, 87]}, {\"cell\": \"0.70\", \"bbox\": [4, 88, 21, 98]}, {\"cell\": \"0.18 (7/40)\", \"bbox\": [61, 88, 100, 98]}, {\"cell\": \"0.98 (128/130)\", \"bbox\": [117, 88, 168, 98]}, {\"cell\": \"0.78 (7/9)\", \"bbox\": [179, 88, 213, 98]}, {\"cell\": \"0.80 (128/161)\", \"bbox\": [234, 88, 285, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 88, 333, 98]}, {\"cell\": \"0.98 (65/66)\", \"bbox\": [346, 88, 389, 98]}, {\"cell\": \"0.80 (4/5)\", \"bbox\": [399, 88, 433, 98]}, {\"cell\": \"0.71 (65/92)\", \"bbox\": [451, 88, 494, 98]}, {\"cell\": \"Stage F3F4\", \"bbox\": [4, 98, 50, 108]}, {\"cell\": \"Prevalence = 0.12 (20/170)\", \"bbox\": [179, 98, 271, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Prevalence = 0.16 (16/97)\", \"bbox\": [399, 98, 487, 108]}, {\"cell\": \"0.30\", \"bbox\": [4, 108, 21, 118]}, {\"cell\": \"0.95 (19/20)\", \"bbox\": [61, 108, 104, 118]}, {\"cell\": \"0.71 (107/150)\", \"bbox\": [117, 108, 168, 118]}, {\"cell\": \"0.31 (19/62)\", \"bbox\": [179, 108, 221, 118]}, {\"cell\": \"0.99 (107/108)\", \"bbox\": [234, 108, 285, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 108, 338, 118]}, {\"cell\": \"0.69 (56/81)\", \"bbox\": [346, 108, 389, 118]}, {\"cell\": \"0.36 (14/39)\", \"bbox\": [399, 108, 442, 118]}, {\"cell\": \"0.97 (56/58)\", \"bbox\": [451, 108, 494, 118]}, {\"cell\": \"0.70\", \"bbox\": [4, 119, 21, 128]}, {\"cell\": \"0.25 (5/20)\", \"bbox\": [61, 119, 100, 128]}, {\"cell\": \"0.97 (146/150)\", \"bbox\": [117, 119, 168, 128]}, {\"cell\": \"0.56 (5/9)\", \"bbox\": [179, 119, 213, 128]}, {\"cell\": \"0.91 (146/161)\", \"bbox\": [234, 119, 285, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 119, 333, 128]}, {\"cell\": \"0.99 (80/81)\", \"bbox\": [346, 119, 389, 128]}, {\"cell\": \"0.80 (4/5)\", \"bbox\": [399, 119, 433, 128]}, {\"cell\": \"0.87 (80/92)\", \"bbox\": [451, 119, 494, 128]}, {\"cell\": \"% of patients with FT between 0.30–0.70\", \"bbox\": [4, 129, 49, 166]}, {\"cell\": \"0.32 (54/170)\", \"bbox\": [61, 129, 108, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 129, 337, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC1386692_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
ParameterRA group (n = 82)Control group (n = 87)p value
Sex of subjects, n (% of group)
Female61 (74.4%)50 (57.5%)[EMPTY_CELL]
Male21 (25.6%)37 (42.5%)
Age (years), median (range)54 (20–82)53 (25–78)[EMPTY_CELL]
BMI (kg/m2), n (%)
<18.52 (2.4%)2 (2.3%)[EMPTY_CELL]
18.5–24.936 (43.9%)29 (33.3%)
≥2544 (53.7%)56 (64.4%)
Cigarette smoking, n (%)
Current smoker22 (26.8%)31 (35.6%)[EMPTY_CELL]
Former smoker (cessation ≥ 1 year)29 (35.4%)38 (43.7%)
Never smoker31 (37.8%)18 (20.7%)
Albumin (g/dL), median (range)3.93 (2.57–5.70)4.23 (2.85–5.42)[EMPTY_CELL]
Uric acid (g/dL), median (range)4.3 (1.5–9.1)5.2 (3.0–8.8)[EMPTY_CELL]
Time from RA onset (years), median (range)8.5 (0.2–50)—[EMPTY_CELL]
RF + (cutoff 20 IU/mL), n (%)53 (64.6%)—[EMPTY_CELL]
ACPA + (cutoff 25 U/mL), n (%)41 (50.0%)—[EMPTY_CELL]
Number of swollen joints, median (range)4 (0–24)—[EMPTY_CELL]
DAS 28, median (range)5.01 (1.49–8.49)—[EMPTY_CELL]
Treatment[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Methotrexate46 (56.1%)—[EMPTY_CELL]
Other nonbiologic DMARDs33 (40.2%)—[EMPTY_CELL]
Anti-TNF therapy23 (28.0%)—[EMPTY_CELL]
Steroids62 (75.6%)—[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Parameter\", \"bbox\": [2, 8, 41, 18]}, {\"cell\": \"RA group (n = 82)\", \"bbox\": [213, 8, 282, 18]}, {\"cell\": \"Control group (n = 87)\", \"bbox\": [329, 8, 414, 18]}, {\"cell\": \"p value\", \"bbox\": [467, 8, 495, 18]}, {\"cell\": \"Sex of subjects, n (% of group)\", \"bbox\": [2, 22, 115, 32]}, {\"cell\": \" Female\", \"bbox\": [12, 35, 39, 45]}, {\"cell\": \"61 (74.4%)\", \"bbox\": [227, 35, 268, 45]}, {\"cell\": \"50 (57.5%)\", \"bbox\": [351, 35, 392, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 41, 494, 52]}, {\"cell\": \" Male\", \"bbox\": [12, 48, 31, 58]}, {\"cell\": \"21 (25.6%)\", \"bbox\": [227, 48, 268, 58]}, {\"cell\": \"37 (42.5%)\", \"bbox\": [351, 48, 392, 58]}, {\"cell\": \"Age (years), median (range)\", \"bbox\": [2, 61, 105, 71]}, {\"cell\": \"54 (20–82)\", \"bbox\": [227, 61, 268, 71]}, {\"cell\": \"53 (25–78)\", \"bbox\": [351, 61, 392, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [474, 61, 487, 71]}, {\"cell\": \"BMI (kg/m2), n (%)\", \"bbox\": [2, 72, 76, 84]}, {\"cell\": \" <18.5\", \"bbox\": [11, 87, 34, 97]}, {\"cell\": \"2 (2.4%)\", \"bbox\": [231, 87, 264, 97]}, {\"cell\": \"2 (2.3%)\", \"bbox\": [355, 87, 388, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [474, 100, 487, 110]}, {\"cell\": \" 18.5–24.9\", \"bbox\": [11, 100, 48, 110]}, {\"cell\": \"36 (43.9%)\", \"bbox\": [227, 100, 268, 110]}, {\"cell\": \"29 (33.3%)\", \"bbox\": [351, 100, 392, 110]}, {\"cell\": \" ≥25\", \"bbox\": [11, 113, 27, 123]}, {\"cell\": \"44 (53.7%)\", \"bbox\": [227, 113, 268, 123]}, {\"cell\": \"56 (64.4%)\", \"bbox\": [351, 113, 392, 123]}, {\"cell\": \"Cigarette smoking, n (%)\", \"bbox\": [2, 126, 95, 136]}, {\"cell\": \" Current smoker\", \"bbox\": [11, 139, 71, 149]}, {\"cell\": \"22 (26.8%)\", \"bbox\": [227, 139, 268, 149]}, {\"cell\": \"31 (35.6%)\", \"bbox\": [351, 139, 392, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [470, 152, 491, 162]}, {\"cell\": \" Former smoker (cessation ≥ 1 year)\", \"bbox\": [11, 152, 140, 162]}, {\"cell\": \"29 (35.4%)\", \"bbox\": [227, 152, 268, 162]}, {\"cell\": \"38 (43.7%)\", \"bbox\": [351, 152, 392, 162]}, {\"cell\": \" Never smoker\", \"bbox\": [11, 165, 64, 175]}, {\"cell\": \"31 (37.8%)\", \"bbox\": [227, 165, 268, 175]}, {\"cell\": \"18 (20.7%)\", \"bbox\": [351, 165, 392, 175]}, {\"cell\": \"Albumin (g/dL), median (range)\", \"bbox\": [2, 178, 122, 188]}, {\"cell\": \"3.93 (2.57–5.70)\", \"bbox\": [218, 178, 277, 188]}, {\"cell\": \"4.23 (2.85–5.42)\", \"bbox\": [341, 178, 401, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [461, 178, 500, 188]}, {\"cell\": \"Uric acid (g/dL), median (range)\", \"bbox\": [2, 191, 122, 201]}, {\"cell\": \"4.3 (1.5–9.1)\", \"bbox\": [224, 191, 271, 201]}, {\"cell\": \"5.2 (3.0–8.8)\", \"bbox\": [348, 191, 395, 201]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [474, 191, 487, 201]}, {\"cell\": \"Time from RA onset (years), median (range)\", \"bbox\": [2, 204, 166, 214]}, {\"cell\": \"8.5 (0.2–50)\", \"bbox\": [225, 204, 270, 214]}, {\"cell\": \"—\", \"bbox\": [366, 208, 376, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [476, 208, 486, 212]}, {\"cell\": \"RF + (cutoff 20 IU/mL), n (%)\", \"bbox\": [2, 217, 111, 227]}, {\"cell\": \"53 (64.6%)\", \"bbox\": [227, 217, 268, 227]}, {\"cell\": \"—\", \"bbox\": [366, 221, 376, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [476, 221, 486, 225]}, {\"cell\": \"ACPA + (cutoff 25 U/mL), n (%)\", \"bbox\": [2, 230, 121, 240]}, {\"cell\": \"41 (50.0%)\", \"bbox\": [227, 230, 268, 240]}, {\"cell\": \"—\", \"bbox\": [366, 234, 376, 238]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [476, 234, 486, 238]}, {\"cell\": \"Number of swollen joints, median (range)\", \"bbox\": [2, 243, 156, 253]}, {\"cell\": \"4 (0–24)\", \"bbox\": [231, 243, 264, 253]}, {\"cell\": \"—\", \"bbox\": [366, 247, 376, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [476, 247, 486, 251]}, {\"cell\": \"DAS 28, median (range)\", \"bbox\": [2, 256, 92, 266]}, {\"cell\": \"5.01 (1.49–8.49)\", \"bbox\": [218, 256, 277, 266]}, {\"cell\": \"—\", \"bbox\": [366, 260, 376, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [476, 260, 486, 264]}, {\"cell\": \"Treatment\", \"bbox\": [2, 269, 42, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [476, 273, 486, 277]}, {\"cell\": \" Methotrexate\", \"bbox\": [11, 282, 62, 292]}, {\"cell\": \"46 (56.1%)\", \"bbox\": [227, 282, 268, 292]}, {\"cell\": \"—\", \"bbox\": [366, 286, 376, 290]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [476, 286, 486, 290]}, {\"cell\": \" Other nonbiologic DMARDs\", \"bbox\": [11, 295, 118, 305]}, {\"cell\": \"33 (40.2%)\", \"bbox\": [227, 295, 268, 305]}, {\"cell\": \"—\", \"bbox\": [366, 299, 376, 303]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [476, 299, 486, 303]}, {\"cell\": \" Anti-TNF therapy\", \"bbox\": [11, 308, 79, 318]}, {\"cell\": \"23 (28.0%)\", \"bbox\": [227, 308, 268, 318]}, {\"cell\": \"—\", \"bbox\": [366, 312, 376, 316]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [476, 312, 486, 316]}, {\"cell\": \" Steroids\", \"bbox\": [11, 321, 42, 331]}, {\"cell\": \"62 (75.6%)\", \"bbox\": [227, 321, 268, 331]}, {\"cell\": \"—\", \"bbox\": [366, 325, 376, 329]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [476, 325, 486, 329]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5907524_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
CharacteristicAll studied patients'High-scoring patients''Low-scoring patients'
[EMPTY_CELL]6518 (29%)44 (71%)
[EMPTY_CELL]28.1 ± 13.946.3 ± 8.920.6 ± 7.1a
[EMPTY_CELL]39 ± 1541 ± 1339 ± 15
[EMPTY_CELL]35/308/1025/19
[EMPTY_CELL]57 ± 3256 ± 3359 ± 31
[EMPTY_CELL]3.2 ± 0.53.3 ± 0.53.2 ± 0.5
[EMPTY_CELL]16 ± 615 ± 416 ± 6
[EMPTY_CELL]47 ± 3259 ± 37.042 ± 29b
[EMPTY_CELL]30 ± 2237 ± 2227 ± 22
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]13 (20)5 (28)8 (18)
[EMPTY_CELL]28 (43)7 (39)20 (45.5)
[EMPTY_CELL]20 (31)5 (28)14 (32)
[EMPTY_CELL]4 (6)1 (6)2 (4,5)
[EMPTY_CELL]7 (11)3 (17)4 (9)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]29 (46)7 (39)22 (50)
[EMPTY_CELL]5 (8)1 (5.5)4 (9)
[EMPTY_CELL]7 (10)1 (5.5)6 (14)
[EMPTY_CELL]12 (18)8 (44)4 (9)b
[EMPTY_CELL]6 (13)1 (5.5)5 (11)
[EMPTY_CELL]3 (5)-3 (7)
\", \"cells\": [{\"cell\": \"Characteristic\", \"bbox\": [5, 9, 54, 19]}, {\"cell\": \"All studied patients\", \"bbox\": [224, 9, 291, 19]}, {\"cell\": \"'High-scoring patients'\", \"bbox\": [316, 9, 394, 19]}, {\"cell\": \"'Low-scoring patients'\", \"bbox\": [414, 9, 490, 19]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 25, 163, 35]}, {\"cell\": \"65\", \"bbox\": [252, 25, 263, 35]}, {\"cell\": \"18 (29%)\", \"bbox\": [337, 25, 372, 35]}, {\"cell\": \"44 (71%)\", \"bbox\": [434, 25, 469, 35]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 41, 94, 51]}, {\"cell\": \"28.1 ± 13.9\", \"bbox\": [236, 41, 279, 51]}, {\"cell\": \"46.3 ± 8.9\", \"bbox\": [335, 41, 374, 51]}, {\"cell\": \"20.6 ± 7.1a\", \"bbox\": [431, 40, 473, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 56, 89, 66]}, {\"cell\": \"39 ± 15\", \"bbox\": [242, 56, 272, 66]}, {\"cell\": \"41 ± 13\", \"bbox\": [339, 56, 370, 66]}, {\"cell\": \"39 ± 15\", \"bbox\": [437, 56, 467, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 72, 76, 82]}, {\"cell\": \"35/30\", \"bbox\": [246, 72, 269, 82]}, {\"cell\": \"8/10\", \"bbox\": [345, 72, 364, 82]}, {\"cell\": \"25/19\", \"bbox\": [440, 72, 464, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 87, 206, 97]}, {\"cell\": \"57 ± 32\", \"bbox\": [242, 87, 273, 97]}, {\"cell\": \"56 ± 33\", \"bbox\": [340, 87, 370, 97]}, {\"cell\": \"59 ± 31\", \"bbox\": [437, 87, 467, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 103, 113, 113]}, {\"cell\": \"3.2 ± 0.5\", \"bbox\": [240, 103, 274, 113]}, {\"cell\": \"3.3 ± 0.5\", \"bbox\": [338, 103, 372, 113]}, {\"cell\": \"3.2 ± 0.5\", \"bbox\": [435, 103, 469, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 118, 112, 128]}, {\"cell\": \"16 ± 6\", \"bbox\": [245, 118, 270, 128]}, {\"cell\": \"15 ± 4\", \"bbox\": [342, 118, 368, 128]}, {\"cell\": \"16 ± 6\", \"bbox\": [439, 118, 465, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 134, 134, 144]}, {\"cell\": \"47 ± 32\", \"bbox\": [242, 134, 273, 144]}, {\"cell\": \"59 ± 37.0\", \"bbox\": [336, 134, 373, 144]}, {\"cell\": \"42 ± 29b\", \"bbox\": [435, 133, 469, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 149, 187, 159]}, {\"cell\": \"30 ± 22\", \"bbox\": [242, 149, 273, 159]}, {\"cell\": \"37 ± 22\", \"bbox\": [339, 149, 370, 159]}, {\"cell\": \"27 ± 22\", \"bbox\": [437, 149, 467, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 165, 159, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 180, 40, 190]}, {\"cell\": \"13 (20)\", \"bbox\": [243, 180, 271, 190]}, {\"cell\": \"5 (28)\", \"bbox\": [343, 180, 366, 190]}, {\"cell\": \"8 (18)\", \"bbox\": [440, 180, 463, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 196, 54, 206]}, {\"cell\": \"28 (43)\", \"bbox\": [243, 196, 271, 206]}, {\"cell\": \"7 (39)\", \"bbox\": [343, 196, 366, 206]}, {\"cell\": \"20 (45.5)\", \"bbox\": [435, 196, 469, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 211, 68, 221]}, {\"cell\": \"20 (31)\", \"bbox\": [243, 211, 271, 221]}, {\"cell\": \"5 (28)\", \"bbox\": [343, 211, 366, 221]}, {\"cell\": \"14 (32)\", \"bbox\": [438, 211, 466, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 227, 36, 237]}, {\"cell\": \"4 (6)\", \"bbox\": [248, 227, 267, 237]}, {\"cell\": \"1 (6)\", \"bbox\": [345, 227, 364, 237]}, {\"cell\": \"2 (4,5)\", \"bbox\": [439, 227, 464, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 242, 129, 252]}, {\"cell\": \"7 (11)\", \"bbox\": [246, 242, 269, 252]}, {\"cell\": \"3 (17)\", \"bbox\": [343, 242, 366, 252]}, {\"cell\": \"4 (9)\", \"bbox\": [443, 242, 461, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 258, 205, 268]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 273, 63, 283]}, {\"cell\": \"29 (46)\", \"bbox\": [243, 273, 271, 283]}, {\"cell\": \"7 (39)\", \"bbox\": [343, 273, 366, 283]}, {\"cell\": \"22 (50)\", \"bbox\": [438, 273, 466, 283]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 289, 118, 299]}, {\"cell\": \"5 (8)\", \"bbox\": [248, 289, 267, 299]}, {\"cell\": \"1 (5.5)\", \"bbox\": [342, 289, 367, 299]}, {\"cell\": \"4 (9)\", \"bbox\": [443, 289, 461, 299]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 304, 41, 314]}, {\"cell\": \"7 (10)\", \"bbox\": [246, 304, 269, 314]}, {\"cell\": \"1 (5.5)\", \"bbox\": [342, 304, 367, 314]}, {\"cell\": \"6 (14)\", \"bbox\": [440, 304, 463, 314]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 320, 46, 330]}, {\"cell\": \"12 (18)\", \"bbox\": [243, 320, 271, 330]}, {\"cell\": \"8 (44)\", \"bbox\": [343, 320, 366, 330]}, {\"cell\": \"4 (9)b\", \"bbox\": [441, 319, 463, 330]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 335, 40, 345]}, {\"cell\": \"6 (13)\", \"bbox\": [246, 335, 269, 345]}, {\"cell\": \"1 (5.5)\", \"bbox\": [342, 335, 367, 345]}, {\"cell\": \"5 (11)\", \"bbox\": [440, 335, 463, 345]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 351, 43, 361]}, {\"cell\": \"3 (5)\", \"bbox\": [248, 351, 267, 361]}, {\"cell\": \"-\", \"bbox\": [352, 351, 357, 361]}, {\"cell\": \"3 (7)\", \"bbox\": [443, 351, 461, 361]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC1751069_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
First author/Year (Ref.)CountryMolecular TechniqueSarcoidosisControlsOR (95% CI)
n/NType of microorganismn/NType of microorganism
Derler, 2009 [4]AustriaFocus-floating microscopy and Borrelia-specific PCR DNA13/35Borrelia sp.1/61[EMPTY_CELL]35.45 (4.38–287.16)
Ishihara, 1998 [65]JapanDot-blot analysis (Dotblot Borrelia Kit)15/46Borrelia sp.2/100[EMPTY_CELL]23.71 (5.14–109.46)
Martens, 1997 [66]GermanyWestern blot for Borrelia burgdorferi1/60Borrelia burgdorferi27/1000[EMPTY_CELL]0.61 (0.08–4.57)
Lian, 1995 [67]ChinaPCR for Borrelia burgdorferi DNA6/49Borrelia burgdorferi2/28[EMPTY_CELL]1.81 (0.34–9.66)
Xu, 1996 [68]ChinaIn situ PCR for Borrelia burgdorferi DNA0/23-0/23[EMPTY_CELL]-
Ishihara, 1996 [69]JapanElisa and Dot-blot analysis for Borrelia sp.1/38Borrelia sp.1/80[EMPTY_CELL]2.14 (0.13–35.08)
\", \"cells\": [{\"cell\": \"First author/Year (Ref.)\", \"bbox\": [1, 4, 55, 22]}, {\"cell\": \"Country\", \"bbox\": [66, 4, 93, 13]}, {\"cell\": \"Molecular Technique\", \"bbox\": [101, 4, 170, 13]}, {\"cell\": \"Sarcoidosis\", \"bbox\": [204, 4, 241, 13]}, {\"cell\": \"Controls\", \"bbox\": [309, 4, 338, 13]}, {\"cell\": \"OR (95% CI)\", \"bbox\": [422, 4, 462, 13]}, {\"cell\": \"n/N\", \"bbox\": [204, 17, 218, 27]}, {\"cell\": \"Type of microorganism\", \"bbox\": [228, 17, 304, 27]}, {\"cell\": \"n/N\", \"bbox\": [309, 17, 323, 27]}, {\"cell\": \"Type of microorganism\", \"bbox\": [341, 17, 417, 27]}, {\"cell\": \"Derler, 2009 [4]\", \"bbox\": [1, 30, 51, 40]}, {\"cell\": \"Austria\", \"bbox\": [66, 30, 89, 40]}, {\"cell\": \"Focus-floating microscopy and Borrelia-specific PCR DNA\", \"bbox\": [101, 30, 199, 49]}, {\"cell\": \"13/35\", \"bbox\": [204, 30, 224, 40]}, {\"cell\": \"Borrelia sp.\", \"bbox\": [228, 30, 265, 40]}, {\"cell\": \"1/61\", \"bbox\": [309, 30, 325, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [341, 30, 378, 40]}, {\"cell\": \"35.45 (4.38–287.16)\", \"bbox\": [422, 30, 484, 40]}, {\"cell\": \"Ishihara, 1998 [65]\", \"bbox\": [1, 53, 60, 63]}, {\"cell\": \"Japan\", \"bbox\": [66, 53, 86, 63]}, {\"cell\": \"Dot-blot analysis (Dotblot Borrelia Kit)\", \"bbox\": [101, 53, 168, 72]}, {\"cell\": \"15/46\", \"bbox\": [204, 53, 224, 63]}, {\"cell\": \"Borrelia sp.\", \"bbox\": [228, 53, 265, 63]}, {\"cell\": \"2/100\", \"bbox\": [309, 53, 329, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [341, 53, 378, 63]}, {\"cell\": \"23.71 (5.14–109.46)\", \"bbox\": [422, 53, 484, 63]}, {\"cell\": \"Martens, 1997 [66]\", \"bbox\": [1, 76, 61, 86]}, {\"cell\": \"Germany\", \"bbox\": [66, 76, 97, 86]}, {\"cell\": \"Western blot for Borrelia burgdorferi\", \"bbox\": [101, 76, 165, 95]}, {\"cell\": \"1/60\", \"bbox\": [204, 76, 220, 86]}, {\"cell\": \"Borrelia burgdorferi\", \"bbox\": [228, 76, 292, 86]}, {\"cell\": \"27/1000\", \"bbox\": [309, 76, 337, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [341, 76, 401, 86]}, {\"cell\": \"0.61 (0.08–4.57)\", \"bbox\": [422, 76, 473, 86]}, {\"cell\": \"Lian, 1995 [67]\", \"bbox\": [1, 99, 49, 109]}, {\"cell\": \"China\", \"bbox\": [66, 99, 86, 109]}, {\"cell\": \"PCR for Borrelia burgdorferi DNA\", \"bbox\": [101, 99, 156, 118]}, {\"cell\": \"6/49\", \"bbox\": [204, 99, 220, 109]}, {\"cell\": \"Borrelia burgdorferi\", \"bbox\": [228, 99, 292, 109]}, {\"cell\": \"2/28\", \"bbox\": [309, 99, 325, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [341, 99, 405, 109]}, {\"cell\": \"1.81 (0.34–9.66)\", \"bbox\": [422, 99, 473, 109]}, {\"cell\": \"Xu, 1996 [68]\", \"bbox\": [1, 122, 44, 132]}, {\"cell\": \"China\", \"bbox\": [66, 122, 86, 132]}, {\"cell\": \"In situ PCR for Borrelia burgdorferi DNA\", \"bbox\": [101, 122, 182, 141]}, {\"cell\": \"0/23\", \"bbox\": [204, 122, 220, 132]}, {\"cell\": \"-\", \"bbox\": [228, 122, 232, 132]}, {\"cell\": \"0/23\", \"bbox\": [309, 122, 325, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [341, 122, 346, 132]}, {\"cell\": \"-\", \"bbox\": [422, 122, 426, 132]}, {\"cell\": \"Ishihara, 1996 [69]\", \"bbox\": [1, 145, 60, 155]}, {\"cell\": \"Japan\", \"bbox\": [66, 145, 86, 155]}, {\"cell\": \"Elisa and Dot-blot analysis for Borrelia sp.\", \"bbox\": [101, 145, 175, 164]}, {\"cell\": \"1/38\", \"bbox\": [204, 145, 220, 155]}, {\"cell\": \"Borrelia sp.\", \"bbox\": [228, 145, 265, 155]}, {\"cell\": \"1/80\", \"bbox\": [309, 145, 325, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [341, 145, 378, 155]}, {\"cell\": \"2.14 (0.13–35.08)\", \"bbox\": [422, 145, 477, 155]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5126827_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
SNPChromosomeCytobandPhysical positionNearest genes[EMPTY_CELL]ControlsKD patients
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]No. (%)No. (%)p valueOdds ratio (95% CI)
rs154507[EMPTY_CELL]q23.2122228806SNX24GG146 (13.2)38 (14.5)0.7551.17 (0.76–1.78)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]GC553 (50.0)133 (50.8)[EMPTY_CELL]1.08 (0.80–1.45)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]CC408 (36.8)91 (34.7)[EMPTY_CELL]1
rs27740[EMPTY_CELL]q23.2122232671SNX24TT156 (14.1)38 (14.5)0.8671.08 (0.71–1.65)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]TA547 (49.4)133 (50.8)[EMPTY_CELL]1.08 (0.80–1.45)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]AA404 (36.5)91 (34.7)[EMPTY_CELL]1
rs26371[EMPTY_CELL]q23.2122234424SNX24TT217 (19.6)56 (21.4)0.6901.19 (0.80–1.76)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]TC573 (51.8)137 (52.3)[EMPTY_CELL]1.10 (0.80–1.51)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]CC317 (28.7)69 (26.3)[EMPTY_CELL]1
rs6595415[EMPTY_CELL]q23.2122234657SNX24TT151 (13.6)38 (14.5)0.8421.12 (0.73–1.70)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]TC530 (47.9)128 (48.9)[EMPTY_CELL]1.07 (0.80–1.44)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]CC426 (38.5)96 (36.6)[EMPTY_CELL]1
rs17149732[EMPTY_CELL]q23.2122249811SNX24TT146 (13.2)37 (14.1)0.7841.14 (0.74–1.73)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]TG530 (47.9)129 (49.2)[EMPTY_CELL]1.09 (0.81–1.46)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]GG430 (38.9)96 (36.6)[EMPTY_CELL]1
rs17149748[EMPTY_CELL]q23.2122295266SNX24CC150 (13.6)37 (14.1)0.7101.13 (0.74–1.72)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]CT532 (48.1)131 (50.0)[EMPTY_CELL]1.13 (0.84–1.51)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]TT425 (38.4)93 (35.5)[EMPTY_CELL]1
rs1038078[EMPTY_CELL]q23.2122309550SNX24AA147 (13.3)37 (14.1)0.6761.15 (0.75–1.76)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]AG526 (47.5)130 (49.6)[EMPTY_CELL]1.13 (0.84–1.51)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]GG434 (39.2)95 (36.3)[EMPTY_CELL]1
rs28891[EMPTY_CELL]q23.2122311523SNX24CC187 (16.9)47 (17.9)0.8361.12 (0.75–1.67)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]CT554 (50.1)133 (50.8)[EMPTY_CELL]1.07 (0.79–1.45)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]TT366 (33.1)82 (31.3)[EMPTY_CELL]1
rs6595423[EMPTY_CELL]q23.2122341433SNX24CC144 (13.0)36 (13.7)0.6671.14 (0.75–1.75)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]CT524 (47.3)130 (49.6)[EMPTY_CELL]1.13 (0.85–1.52)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]TT439 (39.7)96 (36.6)[EMPTY_CELL]1
\", \"cells\": [{\"cell\": \"SNP\", \"bbox\": [12, 4, 27, 13]}, {\"cell\": \"Chromosome\", \"bbox\": [47, 4, 95, 13]}, {\"cell\": \"Cytoband\", \"bbox\": [104, 4, 139, 13]}, {\"cell\": \"Physical position\", \"bbox\": [148, 4, 208, 13]}, {\"cell\": \"Nearest genes\", \"bbox\": [216, 4, 268, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Controls\", \"bbox\": [297, 4, 328, 13]}, {\"cell\": \"KD patients\", \"bbox\": [390, 4, 432, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No. (%)\", \"bbox\": [299, 17, 326, 27]}, {\"cell\": \"No. (%)\", \"bbox\": [340, 17, 368, 27]}, {\"cell\": \"p value\", \"bbox\": [379, 17, 406, 27]}, {\"cell\": \"Odds ratio (95% CI)\", \"bbox\": [415, 17, 484, 27]}, {\"cell\": \"rs154507\", \"bbox\": [4, 30, 35, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [68, 30, 74, 40]}, {\"cell\": \"q23.2\", \"bbox\": [112, 30, 131, 40]}, {\"cell\": \"122228806\", \"bbox\": [160, 30, 196, 40]}, {\"cell\": \"SNX24\", \"bbox\": [231, 31, 253, 38]}, {\"cell\": \"GG\", \"bbox\": [276, 30, 288, 40]}, {\"cell\": \"146 (13.2)\", \"bbox\": [296, 30, 329, 40]}, {\"cell\": \"38 (14.5)\", \"bbox\": [340, 30, 369, 40]}, {\"cell\": \"0.755\", \"bbox\": [383, 30, 402, 40]}, {\"cell\": \"1.17 (0.76–1.78)\", \"bbox\": [424, 30, 475, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"GC\", \"bbox\": [276, 44, 288, 54]}, {\"cell\": \"553 (50.0)\", \"bbox\": [296, 44, 329, 54]}, {\"cell\": \"133 (50.8)\", \"bbox\": [338, 44, 370, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.08 (0.80–1.45)\", \"bbox\": [424, 44, 475, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CC\", \"bbox\": [276, 58, 287, 68]}, {\"cell\": \"408 (36.8)\", \"bbox\": [296, 58, 329, 68]}, {\"cell\": \"91 (34.7)\", \"bbox\": [340, 58, 369, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [447, 58, 452, 68]}, {\"cell\": \"rs27740\", \"bbox\": [6, 72, 33, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [68, 72, 74, 82]}, {\"cell\": \"q23.2\", \"bbox\": [112, 72, 131, 82]}, {\"cell\": \"122232671\", \"bbox\": [160, 72, 196, 82]}, {\"cell\": \"SNX24\", \"bbox\": [231, 72, 253, 80]}, {\"cell\": \"TT\", \"bbox\": [277, 72, 287, 82]}, {\"cell\": \"156 (14.1)\", \"bbox\": [296, 72, 329, 82]}, {\"cell\": \"38 (14.5)\", \"bbox\": [340, 72, 369, 82]}, {\"cell\": \"0.867\", \"bbox\": [383, 72, 402, 82]}, {\"cell\": \"1.08 (0.71–1.65)\", \"bbox\": [424, 72, 475, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TA\", \"bbox\": [277, 86, 287, 96]}, {\"cell\": \"547 (49.4)\", \"bbox\": [296, 86, 329, 96]}, {\"cell\": \"133 (50.8)\", \"bbox\": [338, 86, 370, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.08 (0.80–1.45)\", \"bbox\": [424, 86, 475, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"AA\", \"bbox\": [276, 100, 288, 110]}, {\"cell\": \"404 (36.5)\", \"bbox\": [296, 100, 329, 110]}, {\"cell\": \"91 (34.7)\", \"bbox\": [340, 100, 369, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", 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{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.10 (0.80–1.51)\", \"bbox\": [424, 128, 475, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CC\", \"bbox\": [276, 142, 287, 152]}, {\"cell\": \"317 (28.7)\", \"bbox\": [296, 142, 329, 152]}, {\"cell\": \"69 (26.3)\", \"bbox\": [340, 142, 369, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [447, 142, 452, 152]}, {\"cell\": \"rs6595415\", \"bbox\": [2, 156, 36, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [68, 156, 74, 166]}, {\"cell\": \"q23.2\", \"bbox\": [112, 156, 131, 166]}, {\"cell\": \"122234657\", \"bbox\": [160, 156, 196, 166]}, {\"cell\": \"SNX24\", \"bbox\": [231, 156, 253, 164]}, {\"cell\": \"TT\", \"bbox\": [277, 156, 287, 166]}, {\"cell\": \"151 (13.6)\", \"bbox\": [296, 156, 329, 166]}, {\"cell\": \"38 (14.5)\", \"bbox\": [340, 156, 369, 166]}, {\"cell\": \"0.842\", \"bbox\": [383, 156, 402, 166]}, {\"cell\": \"1.12 (0.73–1.70)\", \"bbox\": [424, 156, 475, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TC\", \"bbox\": [277, 170, 287, 180]}, {\"cell\": \"530 (47.9)\", \"bbox\": [296, 170, 329, 180]}, {\"cell\": \"128 (48.9)\", \"bbox\": [338, 170, 370, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.07 (0.80–1.44)\", \"bbox\": [424, 170, 475, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CC\", \"bbox\": [276, 184, 287, 194]}, {\"cell\": \"426 (38.5)\", \"bbox\": [296, 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\"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"AG\", \"bbox\": [276, 296, 288, 306]}, {\"cell\": \"526 (47.5)\", \"bbox\": [296, 296, 329, 306]}, {\"cell\": \"130 (49.6)\", \"bbox\": [338, 296, 370, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.13 (0.84–1.51)\", \"bbox\": [424, 296, 475, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"GG\", \"bbox\": [276, 310, 288, 320]}, {\"cell\": \"434 (39.2)\", \"bbox\": [296, 310, 329, 320]}, {\"cell\": \"95 (36.3)\", \"bbox\": [340, 310, 369, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [447, 310, 452, 320]}, {\"cell\": \"rs28891\", \"bbox\": [6, 324, 33, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [68, 324, 74, 334]}, {\"cell\": \"q23.2\", \"bbox\": [112, 324, 131, 334]}, {\"cell\": \"122311523\", \"bbox\": [160, 324, 196, 334]}, {\"cell\": \"SNX24\", \"bbox\": [231, 324, 253, 332]}, {\"cell\": \"CC\", \"bbox\": [276, 324, 287, 334]}, {\"cell\": \"187 (16.9)\", \"bbox\": [296, 324, 329, 334]}, {\"cell\": \"47 (17.9)\", \"bbox\": [340, 324, 369, 334]}, {\"cell\": \"0.836\", \"bbox\": [383, 324, 402, 334]}, {\"cell\": \"1.12 (0.75–1.67)\", \"bbox\": [424, 324, 475, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CT\", \"bbox\": [277, 338, 287, 348]}, {\"cell\": \"554 (50.1)\", \"bbox\": [296, 338, 329, 348]}, {\"cell\": \"133 (50.8)\", \"bbox\": [338, 338, 370, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.07 (0.79–1.45)\", \"bbox\": [424, 338, 475, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TT\", \"bbox\": [277, 352, 287, 362]}, {\"cell\": \"366 (33.1)\", \"bbox\": [296, 352, 329, 362]}, {\"cell\": \"82 (31.3)\", \"bbox\": [340, 352, 369, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [447, 352, 452, 362]}, {\"cell\": \"rs6595423\", \"bbox\": [2, 366, 36, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [68, 366, 74, 376]}, {\"cell\": \"q23.2\", \"bbox\": [112, 366, 131, 376]}, {\"cell\": \"122341433\", \"bbox\": [160, 366, 196, 376]}, {\"cell\": \"SNX24\", \"bbox\": [231, 366, 253, 374]}, {\"cell\": \"CC\", \"bbox\": [276, 366, 287, 376]}, {\"cell\": \"144 (13.0)\", \"bbox\": [296, 366, 329, 376]}, {\"cell\": \"36 (13.7)\", \"bbox\": [340, 366, 369, 376]}, {\"cell\": \"0.667\", \"bbox\": [383, 366, 402, 376]}, {\"cell\": \"1.14 (0.75–1.75)\", \"bbox\": [424, 366, 475, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CT\", \"bbox\": [277, 380, 287, 390]}, {\"cell\": \"524 (47.3)\", \"bbox\": [296, 380, 329, 390]}, {\"cell\": \"130 (49.6)\", \"bbox\": [338, 380, 370, 390]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.13 (0.85–1.52)\", \"bbox\": [424, 380, 475, 390]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TT\", \"bbox\": [277, 394, 287, 404]}, {\"cell\": \"439 (39.7)\", \"bbox\": [296, 394, 329, 404]}, {\"cell\": \"96 (36.6)\", \"bbox\": [340, 394, 369, 404]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [447, 394, 452, 404]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4176999_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL][EMPTY_CELL]Outcomes
Patient characteristicsInterventionProviderDrivers / BarriersHealth LiteracyHealth Literacy Outcome*Behaviour ChangeCost Outcome
AgeInformation – written, video, oral, pictures,[EMPTY_CELL]IndividualFunctional health literacyDisease knowledge,Smoking statusIntervention costs, Economic evaluation
GenderWeb based[EMPTY_CELL]LanguageHealth related knowledgeHealth related skills,Nutrition[EMPTY_CELL]
EthnicityGroup self-management support, goal setting or education[EMPTY_CELL]Knowledge/beliefsUnderstandingHealth literacy score: TOFHLA, REALM, HALS, NVSAlcohol use[EMPTY_CELL]
Socio Economic StatusIndividual Motivational interviewing or Coaching[EMPTY_CELL]IdeologiesInteractive health literacyChange in:Physical activity[EMPTY_CELL]
Education levelTelephone based (eg coaching)[EMPTY_CELL]ExperiencesMotivationReadiness to changeWeight[EMPTY_CELL]
Cognitive ability[EMPTY_CELL][EMPTY_CELL]Medical conditionsBehavioural intentionsAttitudes[EMPTY_CELL][EMPTY_CELL]
Cultural factors[EMPTY_CELL][EMPTY_CELL]Social/communityEmpowermentKnowledge[EMPTY_CELL][EMPTY_CELL]
Medical conditions[EMPTY_CELL][EMPTY_CELL]EnvironmentCritical health literacyPatient activation[EMPTY_CELL][EMPTY_CELL]
Lifestyle risks[EMPTY_CELL][EMPTY_CELL]Social supportCognitive skillsMeasures of self-efficacy[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]Social normsSocial skillsSelf management score[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]NetworksPersonal skills[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]Culture/TraditionsSelf-efficacy[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]Health system/provider[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]Accessibility[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]Interpreters[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]Incentives[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]Continuity of care[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]Time / workload[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]Communication skills[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]Training[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]Providers no.[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]Provider types[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]Up-to-date verbal and written information[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]Inter-sectoral[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Outcomes\", \"bbox\": [521, 4, 558, 13]}, {\"cell\": \"Patient characteristics\", \"bbox\": [1, 17, 78, 27]}, {\"cell\": \"Intervention\", \"bbox\": [84, 17, 128, 27]}, {\"cell\": \"Provider\", \"bbox\": [182, 17, 214, 27]}, {\"cell\": \"Drivers / Barriers\", \"bbox\": [262, 17, 322, 27]}, {\"cell\": \"Health Literacy\", \"bbox\": [344, 17, 398, 27]}, {\"cell\": \"Health Literacy Outcome*\", \"bbox\": [434, 17, 488, 36]}, {\"cell\": \"Behaviour Change\", \"bbox\": [519, 17, 556, 36]}, {\"cell\": \"Cost Outcome\", \"bbox\": [577, 17, 628, 27]}, {\"cell\": \"Age\", \"bbox\": [1, 39, 15, 49]}, {\"cell\": \"Information – written, video, oral, pictures,\", \"bbox\": [84, 39, 177, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 39, 206, 49]}, {\"cell\": \"Individual\", \"bbox\": [262, 39, 300, 49]}, {\"cell\": \"Functional health literacy\", \"bbox\": [344, 39, 409, 58]}, {\"cell\": \"Disease knowledge,\", \"bbox\": [434, 39, 499, 49]}, {\"cell\": \"Smoking status\", \"bbox\": [519, 39, 570, 49]}, {\"cell\": \"Intervention costs, Economic evaluation\", \"bbox\": [577, 39, 645, 58]}, {\"cell\": \"Gender\", \"bbox\": [1, 62, 26, 72]}, {\"cell\": \"Web based\", \"bbox\": [84, 62, 122, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 62, 203, 72]}, {\"cell\": \"Language\", \"bbox\": [262, 62, 296, 72]}, {\"cell\": \"Health related knowledge\", \"bbox\": [344, 62, 429, 72]}, {\"cell\": \"Health related skills,\", \"bbox\": [434, 62, 499, 72]}, {\"cell\": \"Nutrition\", \"bbox\": [519, 62, 550, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ethnicity\", \"bbox\": [1, 76, 30, 86]}, {\"cell\": \"Group self-management support, goal setting or education\", \"bbox\": [84, 76, 164, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 76, 224, 86]}, {\"cell\": \"Knowledge/beliefs\", \"bbox\": [262, 76, 323, 86]}, {\"cell\": \"Understanding\", \"bbox\": [344, 76, 393, 86]}, {\"cell\": \"Health literacy score: TOFHLA, REALM, HALS, NVS\", \"bbox\": [434, 76, 502, 104]}, {\"cell\": \"Alcohol use\", \"bbox\": [519, 76, 559, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Socio Economic Status\", \"bbox\": [1, 107, 75, 117]}, {\"cell\": \"Individual Motivational interviewing or Coaching\", \"bbox\": [84, 107, 167, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ideologies\", \"bbox\": [262, 107, 297, 117]}, {\"cell\": \"Interactive health literacy\", \"bbox\": [344, 107, 409, 126]}, {\"cell\": \"Change in:\", \"bbox\": [434, 107, 471, 117]}, {\"cell\": \"Physical activity\", \"bbox\": [519, 107, 571, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Education level\", \"bbox\": [1, 130, 51, 140]}, {\"cell\": \"Telephone based (eg coaching)\", \"bbox\": [84, 130, 141, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 130, 213, 140]}, {\"cell\": \"Experiences\", \"bbox\": [262, 130, 302, 140]}, {\"cell\": \"Motivation\", \"bbox\": [344, 130, 380, 140]}, {\"cell\": \"Readiness to change\", \"bbox\": [434, 130, 503, 140]}, {\"cell\": \"Weight\", \"bbox\": [519, 130, 544, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Cognitive ability\", \"bbox\": [1, 153, 54, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 153, 242, 163]}, {\"cell\": \"Medical conditions\", \"bbox\": [262, 153, 325, 163]}, {\"cell\": \"Behavioural intentions\", \"bbox\": [344, 153, 417, 163]}, {\"cell\": \"Attitudes\", \"bbox\": [434, 153, 465, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Cultural factors\", \"bbox\": [1, 167, 50, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 167, 257, 177]}, {\"cell\": \"Social/community\", \"bbox\": [262, 167, 328, 177]}, {\"cell\": \"Empowerment\", \"bbox\": [344, 167, 393, 177]}, {\"cell\": \"Knowledge\", \"bbox\": [434, 167, 472, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Medical conditions\", \"bbox\": [1, 181, 63, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Environment\", \"bbox\": [262, 181, 305, 191]}, {\"cell\": \"Critical health literacy\", \"bbox\": [344, 181, 425, 191]}, {\"cell\": \"Patient activation\", \"bbox\": [434, 181, 492, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Lifestyle risks\", \"bbox\": [1, 195, 43, 205]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Social support\", \"bbox\": [262, 195, 309, 205]}, {\"cell\": \"Cognitive skills\", \"bbox\": [344, 195, 393, 205]}, {\"cell\": \"Measures of self-efficacy\", \"bbox\": [434, 195, 514, 205]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Social norms\", \"bbox\": [262, 209, 305, 219]}, {\"cell\": \"Social skills\", \"bbox\": [344, 209, 381, 219]}, {\"cell\": \"Self management score\", \"bbox\": [434, 209, 512, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Networks\", \"bbox\": [262, 223, 294, 233]}, {\"cell\": \"Personal skills\", \"bbox\": [344, 223, 389, 233]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Culture/Traditions\", \"bbox\": [262, 237, 321, 247]}, {\"cell\": \"Self-efficacy\", \"bbox\": [344, 237, 383, 247]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Health system/provider\", \"bbox\": [262, 251, 339, 261]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Accessibility\", \"bbox\": [262, 265, 308, 275]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Interpreters\", \"bbox\": [262, 279, 301, 289]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Incentives\", \"bbox\": [262, 293, 296, 303]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Continuity of care\", \"bbox\": [262, 307, 321, 317]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Time / workload\", \"bbox\": [262, 321, 317, 331]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Communication skills\", \"bbox\": [262, 335, 332, 345]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Training\", \"bbox\": [262, 349, 294, 359]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Providers no.\", \"bbox\": [262, 363, 305, 373]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Provider types\", \"bbox\": [262, 377, 310, 387]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Up-to-date verbal and written information\", \"bbox\": [262, 391, 335, 410]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Inter-sectoral\", \"bbox\": [262, 414, 305, 424]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3515410_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
StudyBD groupControl groupEffect size
Mean (SD)Mean (SD)
Ancin et al. (2010)[EMPTY_CELL]N = 101[EMPTY_CELL]
False alarm rate, block 3[EMPTY_CELL]8.6 (11.6)0.167
Response criterion, block 3[EMPTY_CELL]0.53 (0.87)0.15
Brooks et al. (2010)[EMPTY_CELL]N = 11[EMPTY_CELL]
Commission errors[EMPTY_CELL]10.5 (5.5)0.68
Fleck et al. (2005)[EMPTY_CELL]N = 28[EMPTY_CELL]
Response criterion[EMPTY_CELL]0.52 (0.20)-0.14
Iosifescu et al. (2009)[EMPTY_CELL]N = 10[EMPTY_CELL]
Commission errors[EMPTY_CELL]7.50 (4.93)1.01
Kolur et al. (2006)[EMPTY_CELL]N = 30[EMPTY_CELL]
Commission error[EMPTY_CELL]12.73 (7.15)0.47
Malloy-Diniz et al. (2011)[EMPTY_CELL]N = 94[EMPTY_CELL]
Commission errors[EMPTY_CELL]10.26 (7.2)0.74
Martino et al. (2008)[EMPTY_CELL]N = 20[EMPTY_CELL]
False alarm rate[EMPTY_CELL]4.0 (3.4)0.57
Strakowski et al. (2010)[EMPTY_CELL]N = 35[EMPTY_CELL]
Response criterion[EMPTY_CELL]0.67 (0.30)0.07
Swann et al. (2003)[EMPTY_CELL]N = 35[EMPTY_CELL]
DMT commission errors[EMPTY_CELL]17.9 (15.5)0.19
Swann et al. (2004)[EMPTY_CELL]N = 16[EMPTY_CELL]
DMT commission errors[EMPTY_CELL]18.4 (15.6)-0.44
Thompson et al. (2009)[EMPTY_CELL]N = 63[EMPTY_CELL]
Commission errors[EMPTY_CELL]1.73 (2.23)0.33
\", \"cells\": [{\"cell\": \"Study\", \"bbox\": [1, 4, 22, 13]}, {\"cell\": \"BD group\", \"bbox\": [102, 4, 136, 13]}, {\"cell\": \"Control group\", \"bbox\": [146, 4, 195, 13]}, {\"cell\": \"Effect size\", \"bbox\": [202, 4, 236, 13]}, {\"cell\": \"Mean (SD)\", \"bbox\": [100, 17, 138, 27]}, {\"cell\": \"Mean (SD)\", \"bbox\": [152, 17, 189, 27]}, {\"cell\": \"Ancin et al. (2010)\", \"bbox\": [1, 30, 60, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 30, 132, 40]}, {\"cell\": \"N = 101\", \"bbox\": [158, 30, 184, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"False alarm rate, block 3\", \"bbox\": [4, 44, 83, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 44, 136, 54]}, {\"cell\": \"8.6 (11.6)\", \"bbox\": [155, 44, 186, 54]}, {\"cell\": \"0.167\", \"bbox\": [210, 44, 228, 54]}, {\"cell\": \"Response criterion, block 3\", \"bbox\": [4, 58, 91, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 58, 136, 68]}, {\"cell\": \"0.53 (0.87)\", \"bbox\": [154, 58, 188, 68]}, {\"cell\": \"0.15\", \"bbox\": [212, 58, 226, 68]}, {\"cell\": \"Brooks et al. (2010)\", \"bbox\": [1, 72, 63, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [108, 72, 130, 82]}, {\"cell\": \"N = 11\", \"bbox\": [159, 72, 182, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Commission errors\", \"bbox\": [4, 86, 65, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [104, 86, 134, 96]}, {\"cell\": \"10.5 (5.5)\", \"bbox\": [155, 86, 186, 96]}, {\"cell\": \"0.68\", \"bbox\": [212, 86, 226, 96]}, {\"cell\": \"Fleck et al. (2005)\", \"bbox\": [1, 100, 58, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [108, 100, 130, 110]}, {\"cell\": \"N = 28\", \"bbox\": [159, 100, 182, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Response criterion\", \"bbox\": [4, 114, 65, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 114, 136, 124]}, {\"cell\": \"0.52 (0.20)\", \"bbox\": [154, 114, 188, 124]}, {\"cell\": \"-0.14\", \"bbox\": [209, 114, 229, 124]}, {\"cell\": \"Iosifescu et al. (2009)\", \"bbox\": [1, 128, 69, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [108, 128, 130, 138]}, {\"cell\": \"N = 10\", \"bbox\": [159, 128, 182, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Commission errors\", \"bbox\": [4, 142, 65, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 142, 138, 152]}, {\"cell\": \"7.50 (4.93)\", \"bbox\": [154, 142, 188, 152]}, {\"cell\": \"1.01\", \"bbox\": [212, 142, 226, 152]}, {\"cell\": \"Kolur et al. (2006)\", \"bbox\": [1, 156, 58, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [108, 156, 130, 166]}, {\"cell\": \"N = 30\", \"bbox\": [159, 156, 182, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Commission error\", \"bbox\": [4, 170, 62, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [98, 170, 140, 180]}, {\"cell\": \"12.73 (7.15)\", \"bbox\": [152, 170, 190, 180]}, {\"cell\": \"0.47\", \"bbox\": [212, 170, 226, 180]}, {\"cell\": \"Malloy-Diniz et al. (2011)\", \"bbox\": [1, 184, 81, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [108, 184, 130, 194]}, {\"cell\": \"N = 94\", \"bbox\": [159, 184, 182, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Commission errors\", \"bbox\": [4, 198, 65, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 198, 138, 208]}, {\"cell\": \"10.26 (7.2)\", \"bbox\": [154, 198, 188, 208]}, {\"cell\": \"0.74\", \"bbox\": [212, 198, 226, 208]}, {\"cell\": \"Martino et al. (2008)\", \"bbox\": [1, 212, 67, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [108, 212, 130, 222]}, {\"cell\": \"N = 20\", \"bbox\": [159, 212, 182, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"False alarm rate\", \"bbox\": [4, 226, 56, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 226, 132, 236]}, {\"cell\": \"4.0 (3.4)\", \"bbox\": [157, 226, 184, 236]}, {\"cell\": \"0.57\", \"bbox\": [212, 226, 226, 236]}, {\"cell\": \"Strakowski et al. (2010)\", \"bbox\": [1, 240, 75, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [108, 240, 130, 250]}, {\"cell\": \"N = 35\", \"bbox\": [159, 240, 182, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Response criterion\", \"bbox\": [4, 254, 64, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 254, 136, 264]}, {\"cell\": \"0.67 (0.30)\", \"bbox\": [154, 254, 188, 264]}, {\"cell\": \"0.07\", \"bbox\": [212, 254, 226, 264]}, {\"cell\": \"Swann et al. (2003)\", \"bbox\": [1, 268, 63, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [108, 268, 130, 278]}, {\"cell\": \"N = 35\", \"bbox\": [159, 268, 182, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"DMT commission errors\", \"bbox\": [4, 282, 82, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 282, 136, 292]}, {\"cell\": \"17.9 (15.5)\", \"bbox\": [154, 282, 188, 292]}, {\"cell\": \"0.19\", \"bbox\": [212, 282, 226, 292]}, {\"cell\": \"Swann et al. (2004)\", \"bbox\": [1, 296, 63, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [108, 296, 130, 306]}, {\"cell\": \"N = 16\", \"bbox\": [159, 296, 182, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"DMT commission errors\", \"bbox\": [4, 310, 82, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [104, 310, 134, 320]}, {\"cell\": \"18.4 (15.6)\", \"bbox\": [154, 310, 188, 320]}, {\"cell\": \"-0.44\", \"bbox\": [209, 310, 229, 320]}, {\"cell\": \"Thompson et al. (2009)\", \"bbox\": [0, 324, 76, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [108, 324, 130, 334]}, {\"cell\": \"N = 63\", \"bbox\": [159, 324, 182, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Commission errors\", \"bbox\": [4, 338, 65, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 338, 136, 348]}, {\"cell\": \"1.73 (2.23)\", \"bbox\": [154, 338, 188, 348]}, {\"cell\": \"0.33\", \"bbox\": [212, 338, 226, 348]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4424222_010_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]AUC95% CIP Value
Training set[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Risk score0.618[EMPTY_CELL]<0.001
CEA0.582[EMPTY_CELL]<0.001
CA19-90.571[EMPTY_CELL]0.001
CA72-40.544[EMPTY_CELL]0.036
CEA+CA19-90.573[EMPTY_CELL]0.001
CEA+CA72-40.571[EMPTY_CELL]0.001
CA19-9+CA72-40.538[EMPTY_CELL]0.072
Validation set[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Risk score0.625[EMPTY_CELL]<0.001
CEA0.548[EMPTY_CELL]0.024
CA19-90.581[EMPTY_CELL]<0.001
CA72-40.521[EMPTY_CELL]0.328
CEA+CA19-90.569[EMPTY_CELL]0.001
CEA+CA72-40.598[EMPTY_CELL]<0.001
CA19-9+CA72-40.538[EMPTY_CELL]0.071
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"AUC\", \"bbox\": [175, 6, 199, 16]}, {\"cell\": \"95% CI\", \"bbox\": [293, 6, 329, 16]}, {\"cell\": \"P Value\", \"bbox\": [418, 6, 452, 16]}, {\"cell\": \"Training set\", \"bbox\": [3, 23, 57, 34]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Risk score\", \"bbox\": [3, 40, 47, 51]}, {\"cell\": \"0.618\", \"bbox\": [175, 40, 199, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 40, 339, 51]}, {\"cell\": \"<0.001\", \"bbox\": [420, 40, 450, 51]}, {\"cell\": \"CEA\", \"bbox\": [3, 57, 26, 68]}, {\"cell\": \"0.582\", \"bbox\": [175, 57, 199, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 57, 339, 68]}, {\"cell\": \"<0.001\", \"bbox\": [420, 57, 450, 68]}, {\"cell\": \"CA19-9\", \"bbox\": [3, 74, 38, 85]}, {\"cell\": \"0.571\", \"bbox\": [175, 74, 199, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 74, 339, 85]}, {\"cell\": \"0.001\", \"bbox\": [423, 74, 447, 85]}, {\"cell\": \"CA72-4\", \"bbox\": [3, 91, 38, 102]}, {\"cell\": \"0.544\", \"bbox\": [175, 91, 199, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 91, 339, 102]}, {\"cell\": \"0.036\", \"bbox\": [423, 91, 447, 102]}, {\"cell\": \"CEA+CA19-9\", \"bbox\": [3, 108, 63, 119]}, {\"cell\": \"0.573\", \"bbox\": [175, 108, 199, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 108, 339, 119]}, {\"cell\": \"0.001\", \"bbox\": [423, 108, 447, 119]}, {\"cell\": \"CEA+CA72-4\", \"bbox\": [3, 125, 63, 136]}, {\"cell\": \"0.571\", \"bbox\": [175, 125, 199, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 125, 339, 136]}, {\"cell\": \"0.001\", \"bbox\": [423, 125, 447, 136]}, {\"cell\": \"CA19-9+CA72-4\", \"bbox\": [3, 142, 76, 153]}, {\"cell\": \"0.538\", \"bbox\": [175, 142, 199, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 142, 339, 153]}, {\"cell\": \"0.072\", \"bbox\": [423, 142, 447, 153]}, {\"cell\": \"Validation set\", \"bbox\": [3, 159, 64, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Risk score\", \"bbox\": [3, 175, 47, 187]}, {\"cell\": \"0.625\", \"bbox\": [175, 175, 199, 187]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 175, 339, 187]}, {\"cell\": \"<0.001\", \"bbox\": [420, 175, 450, 187]}, {\"cell\": \"CEA\", \"bbox\": [3, 192, 26, 203]}, {\"cell\": \"0.548\", \"bbox\": [175, 192, 199, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 192, 339, 203]}, {\"cell\": \"0.024\", \"bbox\": [423, 192, 447, 203]}, {\"cell\": \"CA19-9\", \"bbox\": [3, 209, 38, 220]}, {\"cell\": \"0.581\", \"bbox\": [175, 209, 199, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 209, 339, 220]}, {\"cell\": \"<0.001\", \"bbox\": [420, 209, 450, 220]}, {\"cell\": \"CA72-4\", \"bbox\": [3, 226, 38, 237]}, {\"cell\": \"0.521\", \"bbox\": [175, 226, 199, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 226, 339, 237]}, {\"cell\": \"0.328\", \"bbox\": [423, 226, 447, 237]}, {\"cell\": \"CEA+CA19-9\", \"bbox\": [3, 243, 63, 254]}, {\"cell\": \"0.569\", \"bbox\": [175, 243, 199, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 243, 339, 254]}, {\"cell\": \"0.001\", \"bbox\": [423, 243, 447, 254]}, {\"cell\": \"CEA+CA72-4\", \"bbox\": [3, 260, 63, 271]}, {\"cell\": \"0.598\", \"bbox\": [175, 260, 199, 271]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 260, 339, 271]}, {\"cell\": \"<0.001\", \"bbox\": [420, 260, 450, 271]}, {\"cell\": \"CA19-9+CA72-4\", \"bbox\": [3, 277, 76, 288]}, {\"cell\": \"0.538\", \"bbox\": [175, 277, 199, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 277, 339, 288]}, {\"cell\": \"0.071\", \"bbox\": [423, 277, 447, 288]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5797014_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]MALE
Thyroid conditionExposed group with dose detected (G1)Exposed group with doses = 0 (G2)Not Exposed (G3)
[EMPTY_CELL]N%N%N%
Incidentalomas1511,3810,4[EMPTY_CELL]9,3
Nodules (single or multiple)53,879,1[EMPTY_CELL]18,7
Thyroiditis64,533,9[EMPTY_CELL]3,3
Healthy10780,55976,6[EMPTY_CELL]68,7
Total133100,077100,0[EMPTY_CELL]100,0
[EMPTY_CELL]FEMALE
Thyroid conditionExposed group with dose detected (G1)Exposed group with doses = 0 (G2)Not Exposed (G3)
[EMPTY_CELL]N%N%[EMPTY_CELL]%
Incidentalomas39,7%716,7%[EMPTY_CELL]13,2
Nodules (single or multiple)13,2%49,5%[EMPTY_CELL]20,3
Thyroiditis26,5%37,1%[EMPTY_CELL]8,6
Healthy2580,6%2866,7%[EMPTY_CELL]57,9
Total31100,0%42100,0%[EMPTY_CELL]100,0
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"MALE\", \"bbox\": [297, 5, 319, 14]}, {\"cell\": \"Thyroid condition\", \"bbox\": [28, 27, 90, 36]}, {\"cell\": \"Exposed group with dose detected (G1)\", \"bbox\": [128, 27, 265, 36]}, {\"cell\": \"Exposed group with doses = 0 (G2)\", \"bbox\": [288, 27, 410, 36]}, {\"cell\": \"Not Exposed (G3)\", \"bbox\": [429, 27, 493, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"N\", \"bbox\": [144, 49, 152, 59]}, {\"cell\": \"%\", \"bbox\": [224, 49, 232, 59]}, {\"cell\": \"N\", \"bbox\": [297, 49, 306, 59]}, {\"cell\": \"%\", \"bbox\": [370, 49, 377, 59]}, {\"cell\": \"N\", \"bbox\": [434, 49, 442, 59]}, {\"cell\": \"%\", \"bbox\": [474, 49, 482, 59]}, {\"cell\": \"Incidentalomas\", \"bbox\": [4, 71, 56, 81]}, {\"cell\": \"15\", \"bbox\": [143, 71, 153, 81]}, {\"cell\": \"11,3\", \"bbox\": [220, 71, 236, 81]}, {\"cell\": \"8\", \"bbox\": [299, 71, 305, 81]}, {\"cell\": \"10,4\", \"bbox\": [366, 71, 382, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [433, 71, 443, 81]}, {\"cell\": \"9,3\", \"bbox\": [472, 71, 484, 81]}, {\"cell\": \"Nodules (single or multiple)\", \"bbox\": [4, 81, 100, 91]}, {\"cell\": \"5\", \"bbox\": [145, 81, 151, 91]}, {\"cell\": \"3,8\", \"bbox\": [222, 81, 234, 91]}, {\"cell\": \"7\", \"bbox\": [299, 81, 305, 91]}, {\"cell\": \"9,1\", \"bbox\": [368, 81, 380, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [433, 81, 443, 91]}, {\"cell\": \"18,7\", \"bbox\": [470, 81, 486, 91]}, {\"cell\": \"Thyroiditis\", \"bbox\": [4, 92, 42, 101]}, {\"cell\": \"6\", \"bbox\": [145, 92, 151, 101]}, {\"cell\": \"4,5\", \"bbox\": [222, 92, 234, 101]}, {\"cell\": \"3\", \"bbox\": [299, 92, 305, 101]}, {\"cell\": \"3,9\", \"bbox\": [368, 92, 380, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [435, 92, 441, 101]}, {\"cell\": \"3,3\", \"bbox\": [472, 92, 484, 101]}, {\"cell\": \"Healthy\", \"bbox\": [4, 102, 32, 112]}, {\"cell\": \"107\", \"bbox\": [141, 102, 155, 112]}, {\"cell\": \"80,5\", \"bbox\": [220, 102, 236, 112]}, {\"cell\": \"59\", \"bbox\": [297, 102, 307, 112]}, {\"cell\": \"76,6\", \"bbox\": [366, 102, 382, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 102, 445, 112]}, {\"cell\": \"68,7\", \"bbox\": [470, 102, 486, 112]}, {\"cell\": \"Total\", \"bbox\": [4, 112, 24, 122]}, {\"cell\": \"133\", \"bbox\": [141, 112, 155, 122]}, {\"cell\": \"100,0\", \"bbox\": [218, 112, 238, 122]}, {\"cell\": \"77\", \"bbox\": [297, 112, 307, 122]}, {\"cell\": \"100,0\", \"bbox\": [363, 112, 384, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 112, 445, 122]}, {\"cell\": \"100,0\", \"bbox\": [468, 112, 488, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"FEMALE\", \"bbox\": [293, 123, 323, 132]}, {\"cell\": \"Thyroid condition\", \"bbox\": [28, 145, 90, 154]}, {\"cell\": \"Exposed group with dose detected (G1)\", \"bbox\": [128, 145, 265, 154]}, {\"cell\": \"Exposed group with doses = 0 (G2)\", \"bbox\": [288, 145, 410, 154]}, {\"cell\": \"Not Exposed (G3)\", \"bbox\": [429, 145, 493, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"N\", \"bbox\": [144, 167, 152, 177]}, {\"cell\": \"%\", \"bbox\": [224, 167, 232, 177]}, {\"cell\": \"N\", \"bbox\": [297, 167, 306, 177]}, {\"cell\": \"%\", \"bbox\": [370, 167, 377, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 167, 442, 177]}, {\"cell\": \"%\", \"bbox\": [474, 167, 482, 177]}, {\"cell\": \"Incidentalomas\", \"bbox\": [4, 189, 56, 199]}, {\"cell\": \"3\", \"bbox\": [145, 189, 151, 199]}, {\"cell\": \"9,7%\", \"bbox\": [219, 189, 237, 199]}, {\"cell\": \"7\", \"bbox\": [299, 189, 305, 199]}, {\"cell\": \"16,7%\", \"bbox\": [363, 189, 385, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [433, 189, 443, 199]}, {\"cell\": \"13,2\", \"bbox\": [470, 189, 486, 199]}, {\"cell\": \"Nodules (single or multiple)\", \"bbox\": [4, 200, 100, 209]}, {\"cell\": \"1\", \"bbox\": [145, 200, 151, 209]}, {\"cell\": \"3,2%\", \"bbox\": [219, 200, 237, 209]}, {\"cell\": \"4\", \"bbox\": [299, 200, 305, 209]}, {\"cell\": \"9,5%\", \"bbox\": [365, 200, 382, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [433, 200, 443, 209]}, {\"cell\": \"20,3\", \"bbox\": [470, 200, 486, 209]}, {\"cell\": \"Thyroiditis\", \"bbox\": [4, 210, 42, 219]}, {\"cell\": \"2\", \"bbox\": [145, 210, 151, 219]}, {\"cell\": \"6,5%\", \"bbox\": [219, 210, 237, 219]}, {\"cell\": \"3\", \"bbox\": [299, 210, 305, 219]}, {\"cell\": \"7,1%\", \"bbox\": [365, 210, 382, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [433, 210, 443, 219]}, {\"cell\": \"8,6\", \"bbox\": [472, 210, 484, 219]}, {\"cell\": \"Healthy\", \"bbox\": [4, 220, 32, 230]}, {\"cell\": \"25\", \"bbox\": [143, 220, 153, 230]}, {\"cell\": \"80,6%\", \"bbox\": [217, 220, 239, 230]}, {\"cell\": \"28\", \"bbox\": [297, 220, 307, 230]}, {\"cell\": \"66,7%\", \"bbox\": [363, 220, 385, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 220, 445, 230]}, {\"cell\": \"57,9\", \"bbox\": [470, 220, 486, 230]}, {\"cell\": \"Total\", \"bbox\": [4, 230, 24, 240]}, {\"cell\": \"31\", \"bbox\": [143, 230, 153, 240]}, {\"cell\": \"100,0%\", \"bbox\": [215, 230, 241, 240]}, {\"cell\": \"42\", \"bbox\": [297, 230, 307, 240]}, {\"cell\": \"100,0%\", \"bbox\": [361, 230, 387, 240]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 230, 445, 240]}, {\"cell\": \"100,0\", \"bbox\": [468, 230, 488, 240]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC1185548_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
systemHealthMapBioCaster
start year[EMPTY_CELL]2006
approximate posts per day[EMPTY_CELL]100 [29]
number of languages[EMPTY_CELL]11 [102]
number of diseases tagged[EMPTY_CELL]230 (N. Collier 2012, personal communication)
number of clinically relevant diseases for which data are available[EMPTY_CELL]99 of 230 (N. Collier 2012, personal communication)
total occurrence points[EMPTY_CELL]189 361 (N. Collier 2012, personal communication)
occurrence point sources for mapping[EMPTY_CELL]140 038 (N. Collier 2012, personal communication)
\", \"cells\": [{\"cell\": \"system\", \"bbox\": [8, 6, 33, 17]}, {\"cell\": \"HealthMap\", \"bbox\": [150, 6, 191, 17]}, {\"cell\": \"BioCaster\", \"bbox\": [346, 6, 380, 17]}, {\"cell\": \"start year\", \"bbox\": [8, 26, 39, 37]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 26, 167, 37]}, {\"cell\": \"2006\", \"bbox\": [346, 26, 363, 37]}, {\"cell\": \"approximate posts per day\", \"bbox\": [8, 41, 93, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 41, 179, 52]}, {\"cell\": \"100 [29]\", \"bbox\": [346, 41, 375, 52]}, {\"cell\": \"number of languages\", \"bbox\": [8, 56, 76, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 56, 316, 67]}, {\"cell\": \"11 [102]\", \"bbox\": [346, 56, 375, 67]}, {\"cell\": \"number of diseases tagged\", \"bbox\": [8, 71, 94, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 71, 320, 82]}, {\"cell\": \"230 (N. Collier 2012, personal communication)\", \"bbox\": [346, 71, 494, 82]}, {\"cell\": \"number of clinically relevant diseases for which data are available\", \"bbox\": [8, 86, 105, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 86, 183, 97]}, {\"cell\": \"99 of 230 (N. Collier 2012, personal communication)\", \"bbox\": [346, 86, 461, 112]}, {\"cell\": \"total occurrence points\", \"bbox\": [8, 131, 81, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 131, 281, 157]}, {\"cell\": \"189 361 (N. Collier 2012, personal communication)\", \"bbox\": [346, 131, 455, 157]}, {\"cell\": \"occurrence point sources for mapping\", \"bbox\": [8, 161, 127, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 161, 277, 187]}, {\"cell\": \"140 038 (N. Collier 2012, personal communication)\", \"bbox\": [346, 161, 455, 187]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3679597_007_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]WhiteBlackHispanicOther
[EMPTY_CELL]R2BSER2BSER2BSER2BSE
[EMPTY_CELL].112[EMPTY_CELL][EMPTY_CELL].202**[EMPTY_CELL][EMPTY_CELL].126***[EMPTY_CELL][EMPTY_CELL].189**[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL].400*.154[EMPTY_CELL].691***.181[EMPTY_CELL].622***.125[EMPTY_CELL].421*.176
[EMPTY_CELL][EMPTY_CELL]−.126.150[EMPTY_CELL].125.209[EMPTY_CELL].058.115[EMPTY_CELL].227.166
[EMPTY_CELL][EMPTY_CELL]−.007.096[EMPTY_CELL]−.106.120[EMPTY_CELL].050.069[EMPTY_CELL].154.101
[EMPTY_CELL][EMPTY_CELL]−.303.325[EMPTY_CELL].277.479[EMPTY_CELL]−.232.286[EMPTY_CELL]−.038.402
[EMPTY_CELL][EMPTY_CELL]−.027.097[EMPTY_CELL]−.212*.107[EMPTY_CELL]−.027.058[EMPTY_CELL]−.012.091
[EMPTY_CELL][EMPTY_CELL]−.016.134[EMPTY_CELL].042.151[EMPTY_CELL]−.064.101[EMPTY_CELL]−.203.148
[EMPTY_CELL][EMPTY_CELL]−.116.424[EMPTY_CELL]1.150.637[EMPTY_CELL]−.045.273[EMPTY_CELL]−.462.336
[EMPTY_CELL][EMPTY_CELL].102.241[EMPTY_CELL]−.528.352[EMPTY_CELL].123.210[EMPTY_CELL]−.037.283
[EMPTY_CELL].143*[EMPTY_CELL][EMPTY_CELL].116[EMPTY_CELL][EMPTY_CELL].103**[EMPTY_CELL][EMPTY_CELL].140*[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL].169*.073[EMPTY_CELL].188*.086[EMPTY_CELL].087.059[EMPTY_CELL]−.010.081
[EMPTY_CELL][EMPTY_CELL]−.039.072[EMPTY_CELL].054.095[EMPTY_CELL].113*.055[EMPTY_CELL].134.079
[EMPTY_CELL][EMPTY_CELL].033.045[EMPTY_CELL]−.010.055[EMPTY_CELL]−.021.033[EMPTY_CELL]−.025.046
[EMPTY_CELL][EMPTY_CELL].115.153[EMPTY_CELL]−.250.219[EMPTY_CELL].311*.137[EMPTY_CELL].374*.177
[EMPTY_CELL][EMPTY_CELL].048.046[EMPTY_CELL].016.049[EMPTY_CELL].006.027[EMPTY_CELL]−.026.040
[EMPTY_CELL][EMPTY_CELL]−.044.062[EMPTY_CELL]−.036.073[EMPTY_CELL]−.064.048[EMPTY_CELL]−.002.067
[EMPTY_CELL][EMPTY_CELL]−.015.200[EMPTY_CELL].247.296[EMPTY_CELL]−.132.127[EMPTY_CELL]−.272.156
[EMPTY_CELL][EMPTY_CELL]−.066.113[EMPTY_CELL].071.169[EMPTY_CELL].023.099[EMPTY_CELL].075.124
[EMPTY_CELL].137**[EMPTY_CELL][EMPTY_CELL].085[EMPTY_CELL][EMPTY_CELL].173***[EMPTY_CELL][EMPTY_CELL].188***[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL].008.031[EMPTY_CELL].085**.030[EMPTY_CELL].115***.020[EMPTY_CELL].126***.029
[EMPTY_CELL][EMPTY_CELL].090*.038[EMPTY_CELL].050.044[EMPTY_CELL].068**.025[EMPTY_CELL].045.035
[EMPTY_CELL][EMPTY_CELL].436**.142[EMPTY_CELL]−.014.122[EMPTY_CELL].038.071[EMPTY_CELL].046.115
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Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]NAllMalesFemalesUnknown genderMedulloblastomaATRTGerminomaControlsMean age (years)STDEV AGEMean Age (weeks)STDEV age
Meta-analysisALL161[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]4.1511.91226.32574.91
[EMPTY_CELL]MALES82[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]3.8513.76210.26663.33
[EMPTY_CELL]FEMALES46[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]1.092.4376.16122.39
[EMPTY_CELL]UNKNOWN GENDER32[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]9.2014.00476.79672.56
[EMPTY_CELL]MEDULLOBLASTOMA198[EMPTY_CELL]4[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]6.894.13366.95198.43
[EMPTY_CELL]ATRT81[EMPTY_CELL]4[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]2.232.18142.95104.49
[EMPTY_CELL]GERMINOMA120[EMPTY_CELL]12[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]11.153.08571.00147.76
[EMPTY_CELL]CONTROLS12173[EMPTY_CELL]12[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]3.0413.43169.45647.52
[EMPTY_CELL]FETAL7640[EMPTY_CELL]4000760.000.0018.393.41
[EMPTY_CELL]INFANT1915[EMPTY_CELL]0120160.560.5462.6725.71
[EMPTY_CELL]CHILD409[EMPTY_CELL]211569105.823.52315.53168.84
[EMPTY_CELL]ADOLESCENT63[EMPTY_CELL]3303014.071.57711.5475.34
[EMPTY_CELL]ADULT52[EMPTY_CELL]3000556.4829.582746.941419.60
[EMPTY_CELL]%ALLMALES[EMPTY_CELL]UNKNOWN GENDERMEDULLOBLASTOMAATRTGERMINOMACONTROLS[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]ALL100.00%[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]MALES50.93%[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]FEMALES28.57%[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]UNKNOWN GENDER19.88%[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]MEDULLOBLASTOMA11.80%4.97%[EMPTY_CELL]2.48%[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
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\"9.32%\", \"bbox\": [166, 347, 186, 354]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 347, 216, 354]}, {\"cell\": \"0.00%\", \"bbox\": [234, 347, 254, 354]}, {\"cell\": \"0.62%\", \"bbox\": [309, 347, 330, 354]}, {\"cell\": \"1.24%\", \"bbox\": [389, 347, 409, 354]}, {\"cell\": \"0.00%\", \"bbox\": [414, 347, 434, 354]}, {\"cell\": \"9.94%\", \"bbox\": [465, 347, 485, 354]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CHILD\", \"bbox\": [54, 360, 77, 370]}, {\"cell\": \"24.84%\", \"bbox\": [133, 361, 158, 368]}, {\"cell\": \"5.59%\", \"bbox\": [166, 361, 186, 368]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 361, 216, 368]}, {\"cell\": \"13.04%\", \"bbox\": [234, 361, 258, 368]}, {\"cell\": \"9.32%\", \"bbox\": [309, 361, 330, 368]}, {\"cell\": \"3.73%\", \"bbox\": [389, 361, 409, 368]}, {\"cell\": \"5.59%\", \"bbox\": [414, 361, 434, 368]}, {\"cell\": \"6.21%\", \"bbox\": [465, 361, 485, 368]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"ADOLESCENT\", \"bbox\": [54, 374, 102, 384]}, {\"cell\": \"3.73%\", \"bbox\": [133, 375, 154, 382]}, {\"cell\": \"1.86%\", \"bbox\": [166, 375, 186, 382]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 375, 216, 382]}, {\"cell\": \"1.86%\", \"bbox\": [234, 375, 254, 382]}, {\"cell\": \"1.86%\", \"bbox\": [309, 375, 330, 382]}, {\"cell\": \"0.00%\", \"bbox\": [389, 375, 409, 382]}, {\"cell\": \"1.86%\", \"bbox\": [414, 375, 434, 382]}, {\"cell\": \"0.00%\", \"bbox\": [465, 375, 485, 382]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"ADULT\", \"bbox\": [54, 388, 79, 398]}, {\"cell\": \"3.11%\", \"bbox\": [133, 389, 154, 396]}, {\"cell\": \"1.24%\", \"bbox\": [166, 389, 186, 396]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 389, 216, 396]}, {\"cell\": \"1.86%\", \"bbox\": [234, 389, 254, 396]}, {\"cell\": \"0.00%\", \"bbox\": [309, 389, 330, 396]}, {\"cell\": \"0.00%\", \"bbox\": [389, 389, 409, 396]}, {\"cell\": \"0.00%\", \"bbox\": [414, 389, 434, 396]}, {\"cell\": \"3.11%\", \"bbox\": [465, 389, 485, 396]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4342799_013_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
LEIOLIPOmFIBROSYN[EMPTY_CELL]
hsa-miR-128b[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
hsa-miR-100[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
hsa-miR-99ahsa-miR-17-3p1hsa-miR-1071[EMPTY_CELL]Activated
hsa-miR-212[EMPTY_CELL]hsa-miR-128a[EMPTY_CELL]miRNAs
hsa-miR-199b[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
hsa-miR-981[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]hsa-miR-30a-3p[EMPTY_CELL][EMPTY_CELL]
hsa-miR-374hsa-miR-302a*hsa-miR-154*[EMPTY_CELL]Silenced miRNAs
hsa-miR-361hsa-miR-130hsa-miR-211[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]hsa-miR-208[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
OSTEOSARCOMA SPECIFIC miRNAs[EMPTY_CELL][EMPTY_CELL]
hsa-miR-122ahsa-miR-7 g[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
hsa-miR-18hsa-miR-147[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
hsa-miR-34chsa-miR-210Activated mIRNAs[EMPTY_CELL][EMPTY_CELL]
hsa-miR-375hsa-miR-187[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
hsa-miR-204hsa-miR-134[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
hsa-miR-138hsa-miR-211[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
\", \"cells\": [{\"cell\": \"LEIO\", \"bbox\": [16, 3, 34, 12]}, {\"cell\": \"LIPOm\", \"bbox\": [116, 3, 141, 12]}, {\"cell\": \"FIBRO\", \"bbox\": [227, 3, 250, 12]}, {\"cell\": \"SYN\", \"bbox\": [340, 3, 356, 12]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"hsa-miR-128b\", \"bbox\": [0, 16, 50, 25]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"hsa-miR-100\", \"bbox\": [3, 30, 47, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"hsa-miR-99a\", \"bbox\": [3, 43, 47, 51]}, {\"cell\": \"hsa-miR-17-3p1\", \"bbox\": [104, 42, 153, 53]}, {\"cell\": \"hsa-miR-1071\", \"bbox\": [217, 42, 260, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 42, 350, 51]}, {\"cell\": \"Activated\", \"bbox\": [437, 42, 472, 51]}, {\"cell\": \"hsa-miR-212\", \"bbox\": [3, 57, 47, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"hsa-miR-128a\", \"bbox\": [216, 56, 261, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"miRNAs\", \"bbox\": [440, 56, 469, 64]}, {\"cell\": \"hsa-miR-199b\", \"bbox\": [1, 69, 50, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"hsa-miR-981\", \"bbox\": [4, 82, 47, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [326, 95, 369, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [325, 108, 370, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [325, 121, 370, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"hsa-miR-30a-3p\", \"bbox\": [213, 134, 264, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [326, 134, 370, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"hsa-miR-374\", \"bbox\": [5, 148, 46, 158]}, {\"cell\": \"hsa-miR-302a*\", \"bbox\": [102, 148, 154, 156]}, {\"cell\": \"hsa-miR-154*\", \"bbox\": [217, 148, 261, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [325, 148, 370, 156]}, {\"cell\": \"Silenced miRNAs\", \"bbox\": [424, 148, 484, 156]}, {\"cell\": \"hsa-miR-361\", \"bbox\": [3, 161, 48, 170]}, {\"cell\": \"hsa-miR-130\", \"bbox\": [108, 161, 149, 171]}, {\"cell\": \"hsa-miR-211\", \"bbox\": [219, 161, 258, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [326, 161, 369, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"hsa-miR-208\", \"bbox\": [216, 174, 261, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [325, 174, 370, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [327, 187, 368, 196]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [323, 200, 372, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [327, 213, 368, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [323, 227, 372, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [324, 240, 371, 248]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"OSTEOSARCOMA SPECIFIC miRNAs\", \"bbox\": [74, 253, 197, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"hsa-miR-122a\", \"bbox\": [1, 267, 49, 275]}, {\"cell\": \"hsa-miR-7 g\", \"bbox\": [108, 266, 148, 276]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"hsa-miR-18\", \"bbox\": [7, 279, 44, 289]}, {\"cell\": \"hsa-miR-147\", \"bbox\": [106, 280, 150, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"hsa-miR-34c\", \"bbox\": [4, 293, 47, 301]}, {\"cell\": \"hsa-miR-210\", \"bbox\": [106, 293, 150, 301]}, {\"cell\": \"Activated mIRNAs\", \"bbox\": [207, 292, 271, 301]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"hsa-miR-375\", \"bbox\": [3, 305, 48, 314]}, {\"cell\": \"hsa-miR-187\", \"bbox\": [106, 306, 150, 314]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"hsa-miR-204\", \"bbox\": [3, 320, 47, 327]}, {\"cell\": \"hsa-miR-134\", \"bbox\": [106, 320, 150, 327]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"hsa-miR-138\", \"bbox\": [3, 333, 47, 340]}, {\"cell\": \"hsa-miR-211\", \"bbox\": [106, 333, 150, 340]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3443663_004_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
MoleculeModelEvidencesRef.
Vitamin Eβ-thal intermedia patients (in vivo study) [EMPTY_CELL][70–72]
Curcuminβ-thal patients(in vitro study) β-thal/HbE patients (in vivo study) [EMPTY_CELL][73, 74]
FPPβ-thal major and intermedia patients (in vitro study) β-thal/HbE patients (in vivo study) β-thal mouse model (in vivo) [EMPTY_CELL][73, 75]
MonoHERβ-thal mouse model(in vivo) [EMPTY_CELL][66]
AD4β-thal major and intermedia patients (in vitro study) β-thal mouse model(in vivo study) [EMPTY_CELL][76]
\", \"cells\": [{\"cell\": \"Molecule\", \"bbox\": [2, 5, 38, 15]}, {\"cell\": \"Model\", \"bbox\": [106, 5, 131, 15]}, {\"cell\": \"Evidences\", \"bbox\": [262, 5, 300, 15]}, {\"cell\": \"Ref. \", \"bbox\": [476, 4, 492, 15]}, {\"cell\": \"Vitamin E\", \"bbox\": [2, 38, 41, 49]}, {\"cell\": \"β-thal intermedia patients (in vivo study) \", \"bbox\": [106, 30, 202, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [262, 14, 404, 70]}, {\"cell\": \"[70–72]\", \"bbox\": [469, 38, 499, 48]}, {\"cell\": \"Curcumin\", \"bbox\": [2, 88, 42, 98]}, {\"cell\": \"β-thal patients(in vitro study) β-thal/HbE patients (in vivo study) \", \"bbox\": [106, 69, 180, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [262, 74, 408, 109]}, {\"cell\": \"[73, 74] \", \"bbox\": [470, 87, 498, 97]}, {\"cell\": \"FPP\", \"bbox\": [2, 152, 19, 163]}, {\"cell\": \"β-thal major and intermedia patients (in vitro study) β-thal/HbE patients (in vivo study) β-thal mouse model (in vivo) \", \"bbox\": [106, 118, 181, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [262, 123, 346, 179]}, {\"cell\": \"[73, 75]\", \"bbox\": [470, 152, 498, 162]}, {\"cell\": \"MonoHER\", \"bbox\": [2, 233, 44, 243]}, {\"cell\": \"β-thal mouse model(in vivo) \", \"bbox\": [106, 224, 181, 248]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [262, 193, 411, 270]}, {\"cell\": \"[66] \", \"bbox\": [475, 232, 492, 243]}, {\"cell\": \"AD4\", \"bbox\": [2, 302, 22, 313]}, {\"cell\": \"β-thal major and intermedia patients (in vitro study) β-thal mouse model(in vivo study) \", \"bbox\": [106, 278, 181, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [262, 278, 346, 334]}, {\"cell\": \"[76] \", \"bbox\": [476, 302, 492, 312]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3800594_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
GroupAcupointManipulation
[EMPTY_CELL]EX-HN 15 (Jingbailao)The needle-punching depth in the each acupoint is 0.5 to 0.8 cun. The sensation (denominated de-qi) is necessary
[EMPTY_CELL]
[EMPTY_CELL]EX-HN 15 (Jingbailao)The needles are pierced through the skin for 0.2 cun and not enough to produce de-qi
[EMPTY_CELL]
[EMPTY_CELL]Non-acupoint 1The needle-punching depth in the acupoints is 0.5 to 0.8 cun. The sensation (denominated de-qi) is necessary
[EMPTY_CELL]
[EMPTY_CELL]Non-acupoint 1The needles are pierced through the skin for 0.2 cun and not enough to produce de-qi
[EMPTY_CELL]
[EMPTY_CELL]EX-HN 15 (Jingbailao)The placebo needle tip is pressed and fixed on the skin of the acupoint
[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Group\", \"bbox\": [1, 4, 22, 13]}, {\"cell\": \"Acupoint\", \"bbox\": [93, 4, 124, 13]}, {\"cell\": \"Manipulation\", \"bbox\": [167, 4, 211, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 77, 36]}, {\"cell\": \"EX-HN 15 (Jingbailao)\", \"bbox\": [93, 17, 163, 27]}, {\"cell\": \"The needle-punching depth in the each acupoint is 0.5 to 0.8 cun. The sensation (denominated de-qi) is necessary\", \"bbox\": [167, 17, 477, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 31, 159, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 45, 60, 73]}, {\"cell\": \"EX-HN 15 (Jingbailao)\", \"bbox\": [93, 45, 163, 55]}, {\"cell\": \"The needles are pierced through the skin for 0.2 cun and not enough to produce de-qi\", \"bbox\": [167, 45, 394, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 59, 159, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 77, 88, 96]}, {\"cell\": \"Non-acupoint 1\", \"bbox\": [93, 77, 145, 87]}, {\"cell\": \"The needle-punching depth in the acupoints is 0.5 to 0.8 cun. The sensation (denominated de-qi) is necessary\", \"bbox\": [167, 77, 383, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 91, 145, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 105, 72, 133]}, {\"cell\": \"Non-acupoint 1\", \"bbox\": [93, 105, 145, 115]}, {\"cell\": \"The needles are pierced through the skin for 0.2 cun and not enough to produce de-qi\", \"bbox\": [167, 105, 394, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 119, 145, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 137, 51, 156]}, {\"cell\": \"EX-HN 15 (Jingbailao)\", \"bbox\": [93, 137, 163, 147]}, {\"cell\": \"The placebo needle tip is pressed and fixed on the skin of the acupoint\", \"bbox\": [167, 137, 400, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 151, 159, 161]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5504675_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Birth weight categories (kg)p valueLinearQuadratic
−2.5] (n = 73)]2.5–3.5] (n = 556)]3.5–4.0] (n = 266)]4.0+ (n = 193)
Anthropometrya
Height (cm)175 ± 1176 ± 1178 ± 1179 ± 1[EMPTY_CELL]<0.0010.306
Weight (kg)80.6 ± 1.580.0 ± 0.584.6 ± 0.886.9 ± 0.9[EMPTY_CELL]<0.0010.147
BMI (kg/m2)26.2 ± 0.426.0 ± 0.226.8 ± 0.227.1 ± 0.3[EMPTY_CELL]0.0240.328
Waist circumference (cm)94.8 ± 1.293.7 ± 0.496.1 ± 0.697.3 ± 0.8[EMPTY_CELL]0.0220.168
Fat (% of body weight)23.7 ± 0.622.4 ± 0.223.3 ± 0.323.4 ± 0.4[EMPTY_CELL]0.9460.075
Fat mass (kg)19.4 ± 0.818.3 ± 0.320.2 ± 0.420.9 ± 0.5[EMPTY_CELL]0.0350.117
Normal weight0.75 (0.45–1.26)1 (ref.)0.71 (0.52–0.96)0.47 (0.33–0.68)[EMPTY_CELL]0.0550.043
Abdominal obesity0.90 (0.48–1.70)1 (ref.)1.27 (0.89–1.82)1.72 (1.17–2.53)[EMPTY_CELL]0.0390.610
Adipokines
Leptin (ng/dL)a10.0 ± 1.08.6 ± 0.38.2 ± 0.58.7 ± 0.6[EMPTY_CELL]0.544§0.209§
Leptin (ng/dL)b10.1 ± 0.89.0 ± 0.38.0 ± 0.47.9 ± 0.5[EMPTY_CELL]0.039§0.534§
Leptin (ng/dL)c10.1 ± 0.89.0 ± 0.38.0 ± 0.47.8 ± 0.5[EMPTY_CELL]0.031§0.721§
Leptin (ng/dL)d9.8 ± 0.89.1 ± 0.37.8 ± 0.47.7 ± 0.5[EMPTY_CELL]0.020§0.625§
Leptin/fat mass ratiob0.46 ± 0.050.45 ± 0.020.39 ± 0.020.38 ± 0.03[EMPTY_CELL]0.0780.942
Adiponectin (μg/dL)a8.1 ± 0.77.2 ± 0.27.1 ± 0.47.3 ± 0.4[EMPTY_CELL]0.875§0.745§
Adiponectin (μg/dL)b8.1 ± 0.77.1 ± 0.27.1 ± 0.47.4 ± 0.4[EMPTY_CELL]0.827§0.639§
Adiponectin (μg/dL)c8.1 ± 0.77.1 ± 0.27.1 ± 0.47.5 ± 0.4[EMPTY_CELL]0.820§0.592§
Adiponectin (μg/dL)d8.1 ± 0.77.1 ± 0.27.2 ± 0.47.4 ± 0.4[EMPTY_CELL]0.838§0.577§
Markers of glucose homeostasis
Fasting Glucose (mmol/L)b, e5.64 ± 0.115.65 ± 0.045.68 ± 0.065.62 ± 0.07[EMPTY_CELL]0.9300.673
Fasting Insulin (μU/mL)b, e9.5 ± 0.89.8 ± 0.38.8 ± 0.49.1 ± 0.5[EMPTY_CELL]0.4340.894
HOMAb, e2.50 ± 0.252.55 ± 0.092.36 ± 0.132.39 ± 0.15[EMPTY_CELL]0.5710.946
Diabetesb2.31 (0.96–5.60)1 (ref.)0.86 (0.44–1.68)0.75 (0.36–1.59)[EMPTY_CELL]0.0290.257
Diabetesc2.23 (0.92–5.41)1 (ref.)0.88 (0.45–1.72)0.72 (0.34–1.52)[EMPTY_CELL]0.0300.337
Diabetesd2.19 (0.90–5.33)1 (ref.)0.87 (0.44–1.71)0.71 (0.33–1.53)[EMPTY_CELL]0.0320.352
High HOMAb0.84 (0.44–1.60)1 (ref.)0.77 (0.52–1.13)0.67 (0.44–1.03)[EMPTY_CELL]0.4070.451
Metabolic syndromea0.96 (0.52–1.76)1 (ref.)1.05 (0.73–1.50)1.49 (1.02–2.17)[EMPTY_CELL]0.1850.410
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Birth weight categories (kg)\", \"bbox\": [103, 4, 200, 14]}, {\"cell\": \"p value\", \"bbox\": [379, 4, 406, 14]}, {\"cell\": \"Linear\", \"bbox\": [415, 4, 439, 14]}, {\"cell\": \"Quadratic\", \"bbox\": [448, 4, 484, 14]}, {\"cell\": \"−2.5] (n = 73)\", \"bbox\": [103, 20, 153, 30]}, {\"cell\": \"]2.5–3.5] (n = 556)\", \"bbox\": [164, 20, 230, 30]}, {\"cell\": \"]3.5–4.0] (n = 266)\", \"bbox\": [239, 20, 304, 30]}, {\"cell\": \"]4.0+ (n = 193)\", \"bbox\": [313, 20, 367, 30]}, {\"cell\": \"Anthropometrya\", \"bbox\": [1, 37, 55, 48]}, {\"cell\": \" Height (cm)\", \"bbox\": [5, 50, 45, 60]}, {\"cell\": \"175 ± 1\", \"bbox\": [103, 50, 130, 60]}, {\"cell\": \"176 ± 1\", \"bbox\": [164, 50, 192, 60]}, {\"cell\": \"178 ± 1\", \"bbox\": [239, 50, 266, 60]}, {\"cell\": \"179 ± 1\", \"bbox\": [313, 50, 340, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 50, 403, 60]}, {\"cell\": \"<0.001\", \"bbox\": [415, 50, 439, 60]}, {\"cell\": \"0.306\", \"bbox\": [448, 50, 467, 60]}, {\"cell\": \" Weight (kg)\", \"bbox\": [5, 62, 44, 72]}, {\"cell\": \"80.6 ± 1.5\", \"bbox\": [103, 62, 137, 72]}, {\"cell\": \"80.0 ± 0.5\", \"bbox\": [164, 62, 199, 72]}, {\"cell\": \"84.6 ± 0.8\", \"bbox\": [239, 62, 273, 72]}, {\"cell\": \"86.9 ± 0.9\", \"bbox\": [313, 62, 347, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 62, 403, 72]}, {\"cell\": \"<0.001\", \"bbox\": [415, 62, 439, 72]}, {\"cell\": \"0.147\", \"bbox\": [448, 62, 467, 72]}, {\"cell\": \" BMI (kg/m2)\", \"bbox\": [5, 73, 45, 84]}, {\"cell\": \"26.2 ± 0.4\", \"bbox\": [103, 74, 137, 84]}, {\"cell\": \"26.0 ± 0.2\", \"bbox\": [164, 74, 199, 84]}, {\"cell\": \"26.8 ± 0.2\", \"bbox\": [239, 74, 273, 84]}, {\"cell\": \"27.1 ± 0.3\", \"bbox\": [313, 74, 347, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 74, 403, 84]}, {\"cell\": \"0.024\", \"bbox\": [420, 74, 439, 84]}, {\"cell\": \"0.328\", \"bbox\": [448, 74, 467, 84]}, {\"cell\": \" Waist circumference (cm)\", \"bbox\": [5, 86, 88, 96]}, {\"cell\": \"94.8 ± 1.2\", \"bbox\": [103, 86, 137, 96]}, {\"cell\": \"93.7 ± 0.4\", \"bbox\": [164, 86, 199, 96]}, {\"cell\": \"96.1 ± 0.6\", \"bbox\": [239, 86, 273, 96]}, {\"cell\": \"97.3 ± 0.8\", \"bbox\": [313, 86, 347, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 86, 403, 96]}, {\"cell\": \"0.022\", \"bbox\": [420, 86, 439, 96]}, {\"cell\": \"0.168\", \"bbox\": [448, 86, 467, 96]}, {\"cell\": \" Fat (% of body weight)\", \"bbox\": [5, 99, 79, 108]}, {\"cell\": \"23.7 ± 0.6\", \"bbox\": [103, 99, 137, 108]}, {\"cell\": \"22.4 ± 0.2\", \"bbox\": [164, 99, 198, 108]}, {\"cell\": \"23.3 ± 0.3\", \"bbox\": [239, 99, 273, 108]}, {\"cell\": \"23.4 ± 0.4\", \"bbox\": [313, 99, 347, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 99, 398, 108]}, {\"cell\": \"0.946\", \"bbox\": [420, 99, 439, 108]}, {\"cell\": \"0.075\", \"bbox\": [448, 99, 467, 108]}, {\"cell\": \" Fat mass (kg)\", \"bbox\": [5, 111, 48, 120]}, {\"cell\": \"19.4 ± 0.8\", \"bbox\": [103, 111, 137, 120]}, {\"cell\": \"18.3 ± 0.3\", \"bbox\": [164, 111, 198, 120]}, {\"cell\": \"20.2 ± 0.4\", \"bbox\": [239, 111, 273, 120]}, {\"cell\": \"20.9 ± 0.5\", \"bbox\": [313, 111, 347, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 111, 403, 120]}, {\"cell\": \"0.035\", \"bbox\": [420, 111, 439, 120]}, {\"cell\": \"0.117\", \"bbox\": [448, 111, 467, 120]}, {\"cell\": \" Normal weight\", \"bbox\": [5, 123, 55, 132]}, {\"cell\": \"0.75 (0.45–1.26)\", \"bbox\": [103, 123, 154, 132]}, {\"cell\": \"1 (ref.)\", \"bbox\": [164, 123, 186, 132]}, {\"cell\": \"0.71 (0.52–0.96)\", \"bbox\": [239, 123, 288, 132]}, {\"cell\": \"0.47 (0.33–0.68)\", \"bbox\": [313, 123, 362, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 123, 385, 132]}, {\"cell\": \"0.055\", \"bbox\": [420, 123, 439, 132]}, {\"cell\": \"0.043\", \"bbox\": [448, 123, 467, 132]}, {\"cell\": \" Abdominal obesity\", \"bbox\": [5, 135, 68, 144]}, {\"cell\": \"0.90 (0.48–1.70)\", \"bbox\": [103, 135, 154, 144]}, {\"cell\": \"1 (ref.)\", \"bbox\": [164, 135, 186, 144]}, {\"cell\": \"1.27 (0.89–1.82)\", \"bbox\": [239, 135, 290, 144]}, {\"cell\": \"1.72 (1.17–2.53)\", \"bbox\": [313, 135, 362, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 135, 385, 144]}, {\"cell\": \"0.039\", \"bbox\": [420, 135, 439, 144]}, {\"cell\": \"0.610\", \"bbox\": [448, 135, 467, 144]}, {\"cell\": \"Adipokines\", \"bbox\": [0, 147, 38, 157]}, {\"cell\": \" Leptin (ng/dL)a\", \"bbox\": [5, 158, 55, 169]}, {\"cell\": \"10.0 ± 1.0\", \"bbox\": [103, 159, 137, 169]}, {\"cell\": \"8.6 ± 0.3\", \"bbox\": [164, 159, 195, 169]}, {\"cell\": \"8.2 ± 0.5\", \"bbox\": [239, 159, 269, 169]}, {\"cell\": \"8.7 ± 0.6\", \"bbox\": [313, 159, 343, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 158, 401, 169]}, {\"cell\": \"0.544§\", \"bbox\": [420, 158, 442, 169]}, {\"cell\": \"0.209§\", \"bbox\": [448, 158, 470, 169]}, {\"cell\": \" Leptin (ng/dL)b\", \"bbox\": [5, 170, 56, 181]}, {\"cell\": \"10.1 ± 0.8\", \"bbox\": [103, 171, 137, 181]}, {\"cell\": \"9.0 ± 0.3\", \"bbox\": [164, 171, 195, 181]}, {\"cell\": \"8.0 ± 0.4\", \"bbox\": [239, 171, 269, 181]}, {\"cell\": \"7.9 ± 0.5\", \"bbox\": [313, 171, 343, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 170, 401, 181]}, {\"cell\": \"0.039§\", \"bbox\": [420, 170, 442, 181]}, {\"cell\": \"0.534§\", \"bbox\": [448, 170, 470, 181]}, {\"cell\": \" Leptin (ng/dL)c\", \"bbox\": [5, 182, 55, 193]}, {\"cell\": \"10.1 ± 0.8\", \"bbox\": [103, 183, 137, 193]}, {\"cell\": \"9.0 ± 0.3\", \"bbox\": [164, 183, 195, 193]}, {\"cell\": \"8.0 ± 0.4\", \"bbox\": [239, 183, 269, 193]}, {\"cell\": \"7.8 ± 0.5\", \"bbox\": [313, 183, 343, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 182, 401, 193]}, {\"cell\": \"0.031§\", \"bbox\": [420, 182, 442, 193]}, {\"cell\": \"0.721§\", \"bbox\": [448, 182, 470, 193]}, {\"cell\": \" Leptin (ng/dL)d\", \"bbox\": [5, 194, 56, 205]}, {\"cell\": \"9.8 ± 0.8\", \"bbox\": [103, 195, 133, 205]}, {\"cell\": \"9.1 ± 0.3\", \"bbox\": [164, 195, 195, 205]}, {\"cell\": \"7.8 ± 0.4\", \"bbox\": [239, 195, 269, 205]}, {\"cell\": \"7.7 ± 0.5\", \"bbox\": [313, 195, 343, 205]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 194, 401, 205]}, {\"cell\": \"0.020§\", \"bbox\": [420, 194, 442, 205]}, {\"cell\": \"0.625§\", \"bbox\": [448, 194, 470, 205]}, {\"cell\": \" Leptin/fat mass ratiob\", \"bbox\": [5, 206, 76, 217]}, {\"cell\": \"0.46 ± 0.05\", \"bbox\": [103, 207, 141, 217]}, {\"cell\": \"0.45 ± 0.02\", \"bbox\": [164, 207, 202, 217]}, {\"cell\": \"0.39 ± 0.02\", \"bbox\": [239, 207, 277, 217]}, {\"cell\": \"0.38 ± 0.03\", \"bbox\": [313, 207, 351, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 207, 398, 217]}, {\"cell\": \"0.078\", \"bbox\": [420, 207, 439, 217]}, {\"cell\": \"0.942\", \"bbox\": [448, 207, 467, 217]}, {\"cell\": \" Adiponectin (μg/dL)a\", \"bbox\": [5, 218, 75, 229]}, {\"cell\": \"8.1 ± 0.7\", \"bbox\": [103, 220, 133, 229]}, {\"cell\": \"7.2 ± 0.2\", \"bbox\": [164, 220, 195, 229]}, {\"cell\": \"7.1 ± 0.4\", \"bbox\": [239, 220, 269, 229]}, {\"cell\": \"7.3 ± 0.4\", \"bbox\": [313, 220, 343, 229]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 218, 401, 229]}, {\"cell\": \"0.875§\", \"bbox\": [420, 218, 442, 229]}, {\"cell\": \"0.745§\", \"bbox\": [448, 218, 470, 229]}, {\"cell\": \" Adiponectin (μg/dL)b\", \"bbox\": [5, 230, 75, 241]}, {\"cell\": \"8.1 ± 0.7\", \"bbox\": [103, 232, 133, 241]}, {\"cell\": \"7.1 ± 0.2\", \"bbox\": [164, 232, 195, 241]}, {\"cell\": \"7.1 ± 0.4\", \"bbox\": [239, 232, 269, 241]}, {\"cell\": \"7.4 ± 0.4\", \"bbox\": [313, 232, 343, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 230, 401, 241]}, {\"cell\": \"0.827§\", \"bbox\": [420, 230, 442, 241]}, {\"cell\": \"0.639§\", \"bbox\": [448, 230, 470, 241]}, {\"cell\": \" Adiponectin (μg/dL)c\", \"bbox\": [5, 242, 75, 253]}, {\"cell\": \"8.1 ± 0.7\", \"bbox\": [103, 244, 133, 253]}, {\"cell\": \"7.1 ± 0.2\", \"bbox\": [164, 244, 195, 253]}, {\"cell\": \"7.1 ± 0.4\", \"bbox\": [239, 244, 269, 253]}, {\"cell\": \"7.5 ± 0.4\", \"bbox\": [313, 244, 343, 253]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 242, 401, 253]}, {\"cell\": \"0.820§\", \"bbox\": [420, 242, 442, 253]}, {\"cell\": \"0.592§\", \"bbox\": [448, 242, 470, 253]}, {\"cell\": \" Adiponectin (μg/dL)d\", \"bbox\": [5, 254, 75, 265]}, {\"cell\": \"8.1 ± 0.7\", \"bbox\": [103, 256, 133, 265]}, {\"cell\": \"7.1 ± 0.2\", \"bbox\": [164, 256, 195, 265]}, {\"cell\": \"7.2 ± 0.4\", \"bbox\": [239, 256, 269, 265]}, {\"cell\": \"7.4 ± 0.4\", \"bbox\": [313, 256, 343, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 254, 401, 265]}, {\"cell\": \"0.838§\", \"bbox\": [420, 254, 442, 265]}, {\"cell\": \"0.577§\", \"bbox\": [448, 254, 470, 265]}, {\"cell\": \"Markers of glucose homeostasis\", \"bbox\": [1, 268, 104, 278]}, {\"cell\": \" Fasting Glucose (mmol/L)b, e\", \"bbox\": [5, 279, 97, 290]}, {\"cell\": \"5.64 ± 0.11\", \"bbox\": [103, 280, 141, 290]}, {\"cell\": \"5.65 ± 0.04\", \"bbox\": [164, 280, 202, 290]}, {\"cell\": \"5.68 ± 0.06\", \"bbox\": [239, 280, 277, 290]}, {\"cell\": \"5.62 ± 0.07\", \"bbox\": [313, 280, 351, 290]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 280, 398, 290]}, {\"cell\": \"0.930\", \"bbox\": [420, 280, 439, 290]}, {\"cell\": \"0.673\", \"bbox\": [448, 280, 467, 290]}, {\"cell\": \" Fasting Insulin (μU/mL)b, e\", \"bbox\": [5, 291, 89, 302]}, {\"cell\": \"9.5 ± 0.8\", \"bbox\": [103, 292, 133, 302]}, {\"cell\": \"9.8 ± 0.3\", \"bbox\": [164, 292, 195, 302]}, {\"cell\": \"8.8 ± 0.4\", \"bbox\": [239, 292, 269, 302]}, {\"cell\": \"9.1 ± 0.5\", \"bbox\": [313, 292, 343, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 292, 398, 302]}, {\"cell\": \"0.434\", \"bbox\": [420, 292, 439, 302]}, {\"cell\": \"0.894\", \"bbox\": [448, 292, 467, 302]}, {\"cell\": \" HOMAb, e\", \"bbox\": [5, 303, 36, 314]}, {\"cell\": \"2.50 ± 0.25\", \"bbox\": [103, 304, 141, 314]}, {\"cell\": \"2.55 ± 0.09\", \"bbox\": [164, 304, 202, 314]}, {\"cell\": \"2.36 ± 0.13\", \"bbox\": [239, 304, 277, 314]}, {\"cell\": \"2.39 ± 0.15\", \"bbox\": [313, 304, 351, 314]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 304, 398, 314]}, {\"cell\": \"0.571\", \"bbox\": [420, 304, 439, 314]}, {\"cell\": \"0.946\", \"bbox\": [448, 304, 467, 314]}, {\"cell\": \" Diabetesb\", \"bbox\": [5, 315, 39, 326]}, {\"cell\": \"2.31 (0.96–5.60)\", \"bbox\": [103, 316, 154, 326]}, {\"cell\": \"1 (ref.)\", \"bbox\": [164, 316, 186, 326]}, {\"cell\": \"0.86 (0.44–1.68)\", \"bbox\": [239, 316, 290, 326]}, {\"cell\": \"0.75 (0.36–1.59)\", \"bbox\": [313, 316, 364, 326]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 316, 385, 326]}, {\"cell\": \"0.029\", \"bbox\": [420, 316, 439, 326]}, {\"cell\": \"0.257\", \"bbox\": [448, 316, 467, 326]}, {\"cell\": \" Diabetesc\", \"bbox\": [5, 327, 38, 338]}, {\"cell\": \"2.23 (0.92–5.41)\", \"bbox\": [103, 328, 154, 338]}, {\"cell\": \"1 (ref.)\", \"bbox\": [164, 328, 186, 338]}, {\"cell\": \"0.88 (0.45–1.72)\", \"bbox\": [239, 328, 290, 338]}, {\"cell\": \"0.72 (0.34–1.52)\", \"bbox\": [313, 328, 364, 338]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 328, 385, 338]}, {\"cell\": \"0.030\", \"bbox\": [420, 328, 439, 338]}, {\"cell\": \"0.337\", \"bbox\": [448, 328, 467, 338]}, {\"cell\": \" Diabetesd\", \"bbox\": [5, 339, 38, 350]}, {\"cell\": \"2.19 (0.90–5.33)\", \"bbox\": [103, 341, 154, 350]}, {\"cell\": \"1 (ref.)\", \"bbox\": [164, 341, 186, 350]}, {\"cell\": \"0.87 (0.44–1.71)\", \"bbox\": [239, 341, 290, 350]}, {\"cell\": \"0.71 (0.33–1.53)\", \"bbox\": [313, 341, 364, 350]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 341, 385, 350]}, {\"cell\": \"0.032\", \"bbox\": [420, 341, 439, 350]}, {\"cell\": \"0.352\", \"bbox\": [448, 341, 467, 350]}, {\"cell\": \" High HOMAb\", \"bbox\": [5, 351, 49, 362]}, {\"cell\": \"0.84 (0.44–1.60)\", \"bbox\": [103, 353, 154, 362]}, {\"cell\": \"1 (ref.)\", \"bbox\": [164, 353, 186, 362]}, {\"cell\": \"0.77 (0.52–1.13)\", \"bbox\": [239, 353, 290, 362]}, {\"cell\": \"0.67 (0.44–1.03)\", \"bbox\": [313, 353, 364, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 353, 385, 362]}, {\"cell\": \"0.407\", \"bbox\": [420, 353, 439, 362]}, {\"cell\": \"0.451\", \"bbox\": [448, 353, 467, 362]}, {\"cell\": \" Metabolic syndromea\", \"bbox\": [5, 363, 76, 374]}, {\"cell\": \"0.96 (0.52–1.76)\", \"bbox\": [103, 365, 154, 374]}, {\"cell\": \"1 (ref.)\", \"bbox\": [164, 365, 186, 374]}, {\"cell\": \"1.05 (0.73–1.50)\", \"bbox\": [239, 365, 290, 374]}, {\"cell\": \"1.49 (1.02–2.17)\", \"bbox\": [313, 365, 362, 374]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 365, 385, 374]}, {\"cell\": \"0.185\", \"bbox\": [421, 365, 440, 374]}, {\"cell\": \"0.410\", \"bbox\": [448, 365, 467, 374]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4855501_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Protein nameNCBInr gi#MDA-MB-435MDA-MB-435 vecMDA-MB-435-MRJ(L)
[EMPTY_CELL][EMPTY_CELL]MASCOT positionSequences matchedMASCOT positionSequences matchedMASCOT positionSequences matched
VGF (VGF nerve growth factor)17,136,078[EMPTY_CELL]16221--
SPP1 (secreted phosphoprotein 1 [osteopontin])4,759,166[EMPTY_CELL]577--
AZGP1 (zinc α2-glycoprotein 1)4,502,337[EMPTY_CELL]1321--
SPARC (secreted protein, acidic, cysteine rich [osteonectin])4,507,171[EMPTY_CELL]2363--
NPM1 (nucleophosmin 1)10,835,063[EMPTY_CELL]3461--
KiSS1 (melanoma metastasis suppressor)29,571,104[EMPTY_CELL]---142
\", \"cells\": [{\"cell\": \"Protein name\", \"bbox\": [5, 9, 51, 19]}, {\"cell\": \"NCBInr gi#\", \"bbox\": [165, 9, 206, 19]}, {\"cell\": \"MDA-MB-435\", \"bbox\": [214, 9, 264, 19]}, {\"cell\": \"MDA-MB-435 vec\", \"bbox\": [311, 9, 375, 19]}, {\"cell\": \"MDA-MB-435-MRJ(L)\", \"bbox\": [408, 9, 484, 19]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"MASCOT position\", \"bbox\": [214, 26, 250, 44]}, {\"cell\": \"Sequences matched\", \"bbox\": [262, 26, 303, 44]}, {\"cell\": \"MASCOT position\", \"bbox\": [311, 26, 347, 44]}, {\"cell\": \"Sequences matched\", \"bbox\": [359, 26, 400, 44]}, {\"cell\": \"MASCOT position\", \"bbox\": [408, 26, 443, 44]}, {\"cell\": \"Sequences matched\", \"bbox\": [456, 26, 497, 44]}, {\"cell\": \"VGF (VGF nerve growth factor)\", \"bbox\": [5, 53, 113, 63]}, {\"cell\": \"17,136,078\", \"bbox\": [165, 53, 208, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [214, 53, 221, 63]}, {\"cell\": \"16\", \"bbox\": [262, 53, 274, 63]}, {\"cell\": \"2\", \"bbox\": [311, 53, 317, 63]}, {\"cell\": \"21\", \"bbox\": [359, 53, 371, 63]}, {\"cell\": \"-\", \"bbox\": [408, 53, 412, 63]}, {\"cell\": \"-\", \"bbox\": [456, 53, 460, 63]}, {\"cell\": \"SPP1 (secreted phosphoprotein 1 [osteopontin])\", \"bbox\": [5, 69, 124, 87]}, {\"cell\": \"4,759,166\", \"bbox\": [165, 69, 203, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [214, 69, 221, 79]}, {\"cell\": \"5\", \"bbox\": [262, 69, 269, 79]}, {\"cell\": \"7\", \"bbox\": [311, 69, 317, 79]}, {\"cell\": \"7\", \"bbox\": [359, 69, 366, 79]}, {\"cell\": \"-\", \"bbox\": [408, 69, 412, 79]}, {\"cell\": \"-\", \"bbox\": [456, 69, 460, 79]}, {\"cell\": \"AZGP1 (zinc α2-glycoprotein 1)\", \"bbox\": [5, 82, 115, 104]}, {\"cell\": \"4,502,337\", \"bbox\": [165, 92, 203, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [214, 92, 225, 102]}, {\"cell\": \"1\", \"bbox\": [262, 92, 269, 102]}, {\"cell\": \"32\", \"bbox\": [311, 92, 322, 102]}, {\"cell\": \"1\", \"bbox\": [359, 92, 366, 102]}, {\"cell\": \"-\", \"bbox\": [408, 92, 412, 102]}, {\"cell\": \"-\", \"bbox\": [456, 92, 460, 102]}, {\"cell\": \"SPARC (secreted protein, acidic, cysteine rich [osteonectin])\", \"bbox\": [5, 108, 150, 126]}, {\"cell\": \"4,507,171\", \"bbox\": [165, 108, 203, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [214, 108, 225, 118]}, {\"cell\": \"2\", \"bbox\": [262, 108, 269, 118]}, {\"cell\": \"36\", \"bbox\": [311, 108, 322, 118]}, {\"cell\": \"3\", \"bbox\": [359, 108, 366, 118]}, {\"cell\": \"-\", \"bbox\": [408, 108, 412, 118]}, {\"cell\": \"-\", \"bbox\": [456, 108, 460, 118]}, {\"cell\": \"NPM1 (nucleophosmin 1)\", \"bbox\": [5, 131, 94, 141]}, {\"cell\": \"10,835,063\", \"bbox\": [165, 131, 208, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [214, 131, 225, 141]}, {\"cell\": \"3\", \"bbox\": [262, 131, 269, 141]}, {\"cell\": \"46\", \"bbox\": [311, 131, 322, 141]}, {\"cell\": \"1\", \"bbox\": [359, 131, 366, 141]}, {\"cell\": \"-\", \"bbox\": [408, 131, 412, 141]}, {\"cell\": \"-\", \"bbox\": [456, 131, 460, 141]}, {\"cell\": \"KiSS1 (melanoma metastasis suppressor)\", \"bbox\": [5, 147, 149, 157]}, {\"cell\": \"29,571,104\", \"bbox\": [165, 147, 208, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [214, 147, 218, 157]}, {\"cell\": \"-\", \"bbox\": [262, 147, 267, 157]}, {\"cell\": \"-\", \"bbox\": [311, 147, 315, 157]}, {\"cell\": \"-\", \"bbox\": [359, 147, 364, 157]}, {\"cell\": \"14\", \"bbox\": [408, 147, 419, 157]}, {\"cell\": \"2\", \"bbox\": [456, 147, 463, 157]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2397520_010_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Regional service delivery costs for ART patientsAnnual cost of inpatient Days (ART patient)Annual cost of outpatient visits (ART patient)Total annual service delivery cost (ART patient)
Sub-Saharan Africa$18.43$53.62[EMPTY_CELL]
East Asia$36.48$64.36[EMPTY_CELL]
Oceania$56.33$77.62[EMPTY_CELL]
South and South-East Asia$29.20$64.77[EMPTY_CELL]
Eastern Europe and Central Asia$52.07$71.82[EMPTY_CELL]
Western and Central Europe$106.23$239.38[EMPTY_CELL]
North Africa and Middle East$63.44$73.68[EMPTY_CELL]
Caribbean$58.92$70.52[EMPTY_CELL]
Latin America$59.34$72.91[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Regional service delivery costs for ART patients\", \"bbox\": [2, 4, 93, 25]}, {\"cell\": \"Annual cost of inpatient Days (ART patient)\", \"bbox\": [131, 4, 220, 25]}, {\"cell\": \"Annual cost of outpatient visits (ART patient)\", \"bbox\": [260, 4, 353, 25]}, {\"cell\": \"Total annual service delivery cost (ART patient)\", \"bbox\": [391, 4, 495, 25]}, {\"cell\": \"Sub-Saharan Africa\", \"bbox\": [2, 28, 74, 38]}, {\"cell\": \"$18.43\", \"bbox\": [163, 28, 188, 38]}, {\"cell\": \"$53.62\", \"bbox\": [294, 28, 320, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [430, 28, 456, 38]}, {\"cell\": \"East Asia\", \"bbox\": [2, 41, 37, 51]}, {\"cell\": \"$36.48\", \"bbox\": [163, 41, 188, 51]}, {\"cell\": \"$64.36\", \"bbox\": [294, 41, 320, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [428, 41, 458, 51]}, {\"cell\": \"Oceania\", \"bbox\": [2, 54, 34, 64]}, {\"cell\": \"$56.33\", \"bbox\": [163, 54, 188, 64]}, {\"cell\": \"$77.62\", \"bbox\": [294, 54, 320, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [428, 54, 458, 64]}, {\"cell\": \"South and South-East Asia\", \"bbox\": [2, 67, 100, 77]}, {\"cell\": \"$29.20\", \"bbox\": [163, 67, 188, 77]}, {\"cell\": \"$64.77\", \"bbox\": [294, 67, 320, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [430, 67, 456, 77]}, {\"cell\": \"Eastern Europe and Central Asia\", \"bbox\": [2, 79, 104, 100]}, {\"cell\": \"$52.07\", \"bbox\": [163, 84, 188, 95]}, {\"cell\": \"$71.82\", \"bbox\": [294, 84, 320, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [428, 84, 458, 95]}, {\"cell\": \"Western and Central Europe\", \"bbox\": [2, 102, 78, 123]}, {\"cell\": \"$106.23\", \"bbox\": [161, 107, 190, 118]}, {\"cell\": \"$239.38\", \"bbox\": [292, 107, 322, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [428, 107, 458, 118]}, {\"cell\": \"North Africa and Middle East\", \"bbox\": [2, 125, 94, 146]}, {\"cell\": \"$63.44\", \"bbox\": [163, 130, 188, 141]}, {\"cell\": \"$73.68\", \"bbox\": [294, 130, 320, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [428, 130, 458, 141]}, {\"cell\": \"Caribbean\", \"bbox\": [2, 148, 42, 159]}, {\"cell\": \"$58.92\", \"bbox\": [163, 148, 188, 159]}, {\"cell\": \"$70.52\", \"bbox\": [294, 148, 320, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [428, 148, 458, 159]}, {\"cell\": \"Latin America\", \"bbox\": [2, 161, 56, 172]}, {\"cell\": \"$59.34\", \"bbox\": [163, 161, 188, 172]}, {\"cell\": \"$72.91\", \"bbox\": [294, 161, 320, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [428, 161, 458, 172]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3066594_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Case 1Case 2Case 3
[EMPTY_CELL]645555
[EMPTY_CELL]G2P2G1P1G2P1
[EMPTY_CELL]NNN
[EMPTY_CELL]NNHer father died of lung cancer.
[EMPTY_CELL]Left low abdominal painPostmenopausal vagina bleedingVaginal bleeding
[EMPTY_CELL]Normal CA125, CA199 & CA153CA199: 89.8 IU/mL; Normal CA125ND
[EMPTY_CELL]Endometrium 0.2 cm; A mass in the left parametrium; A cyst in the left adnexusEndometrium 0.22 cm; Uterine leiomyomasA mass in the cervical stump and a cyst in the left ovary
[EMPTY_CELL]TAHBSO + complete staging surgeryTAHBSO + complete staging surgeryRadical resection of the cervical stump + BSO + complete staging surgery
[EMPTY_CELL]YYN
[EMPTY_CELL]Recent caseRecent caseAlive with no evidence of cancer (44 months)
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Case 1\", \"bbox\": [101, 4, 124, 13]}, {\"cell\": \"Case 2\", \"bbox\": [211, 4, 234, 13]}, {\"cell\": \"Case 3\", \"bbox\": [335, 4, 358, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 28, 27]}, {\"cell\": \"64\", \"bbox\": [101, 17, 110, 27]}, {\"cell\": \"55\", \"bbox\": [211, 17, 221, 27]}, {\"cell\": \"55\", \"bbox\": [335, 17, 345, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 31, 69, 41]}, {\"cell\": \"G2P2\", \"bbox\": [101, 31, 119, 41]}, {\"cell\": \"G1P1\", \"bbox\": [211, 31, 230, 41]}, {\"cell\": \"G2P1\", \"bbox\": [335, 31, 354, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 45, 57, 55]}, {\"cell\": \"N\", \"bbox\": [101, 45, 108, 55]}, {\"cell\": \"N\", \"bbox\": [211, 45, 218, 55]}, {\"cell\": \"N\", \"bbox\": [335, 45, 343, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 59, 82, 69]}, {\"cell\": \"N\", \"bbox\": [101, 59, 108, 69]}, {\"cell\": \"N\", \"bbox\": [211, 59, 218, 69]}, {\"cell\": \"Her father died of lung cancer.\", \"bbox\": [335, 59, 436, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 73, 67, 83]}, {\"cell\": \"Left low abdominal pain\", \"bbox\": [101, 73, 181, 83]}, {\"cell\": \"Postmenopausal vagina bleeding\", \"bbox\": [211, 73, 320, 83]}, {\"cell\": \"Vaginal bleeding\", \"bbox\": [335, 73, 391, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 87, 82, 97]}, {\"cell\": \"Normal CA125, CA199 & CA153\", \"bbox\": [101, 87, 203, 97]}, {\"cell\": \"CA199: 89.8 IU/mL; Normal CA125\", \"bbox\": [211, 87, 322, 97]}, {\"cell\": \"ND\", \"bbox\": [335, 87, 348, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 101, 57, 111]}, {\"cell\": \"Endometrium 0.2 cm; A mass in the left parametrium; A cyst in the left adnexus\", \"bbox\": [101, 101, 205, 129]}, {\"cell\": \"Endometrium 0.22 cm; Uterine leiomyomas\", \"bbox\": [211, 101, 312, 120]}, {\"cell\": \"A mass in the cervical stump and a cyst in the left ovary\", \"bbox\": [335, 101, 465, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 133, 35, 143]}, {\"cell\": \"TAHBSO + complete staging surgery\", \"bbox\": [101, 133, 193, 152]}, {\"cell\": \"TAHBSO + complete staging surgery\", \"bbox\": [211, 133, 329, 143]}, {\"cell\": \"Radical resection of the cervical stump + BSO + complete staging surgery\", \"bbox\": [335, 133, 482, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 156, 95, 166]}, {\"cell\": \"Y\", \"bbox\": [101, 156, 107, 166]}, {\"cell\": \"Y\", \"bbox\": [211, 156, 217, 166]}, {\"cell\": \"N\", \"bbox\": [335, 156, 343, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 170, 84, 180]}, {\"cell\": \"Recent case\", \"bbox\": [101, 170, 141, 180]}, {\"cell\": \"Recent case\", \"bbox\": [211, 170, 251, 180]}, {\"cell\": \"Alive with no evidence of cancer (44 months)\", \"bbox\": [335, 170, 484, 180]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4893213_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
PODXL Expression (n = 262)RBM3 expression (n = 259)
[EMPTY_CELL]Non-membranousMembranous[EMPTY_CELL]Low (NS = 0–4)High (NS = 6–9)[EMPTY_CELL]
N (%)235 (89.7%)27 (10.3%)[EMPTY_CELL]104 (40.2%)155 (59.8%)p-value
Age
Mean/median71.4/71.471.2/72.4[EMPTY_CELL]72.2/72.570.6/70.50.069
Range51.2–86.656.2–86.8[EMPTY_CELL]51.3–86.851.2–86.6[EMPTY_CELL]
Sex
Female67 (84.8%)12 (15.2%)[EMPTY_CELL]32 (40.0%)48 (60.0%)0.973
Male168 (91.8%)15 (8.2%)[EMPTY_CELL]72 (40.2%)107 (59.8%)[EMPTY_CELL]
T-stage
Ta113 (100.0%)0 (0.0%)[EMPTY_CELL]30 (26.3%)84 (73.7%)<0.001
T173 (88.0%)10 (12.0%)[EMPTY_CELL]28 (34.6%)53 (65.4%)[EMPTY_CELL]
T2–449 (74.2%)17 (25.8%)[EMPTY_CELL]46 (71.9%)18 (28.1%)[EMPTY_CELL]
Grade
Low128 (99.2%)1 (0.8%)[EMPTY_CELL]27 (20.8%)103 (79.2%)<0.001
High107 (80.5%)26 (19.5%)[EMPTY_CELL]77 (59.7%)52 (40.3%)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"PODXL Expression (n = 262)\", \"bbox\": [1, 4, 91, 13]}, {\"cell\": \"RBM3 expression (n = 259)\", \"bbox\": [300, 4, 386, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Non-membranous\", \"bbox\": [84, 17, 144, 26]}, {\"cell\": \"Membranous\", \"bbox\": [173, 17, 218, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Low (NS = 0–4)\", \"bbox\": [300, 17, 350, 26]}, {\"cell\": \"High (NS = 6–9)\", \"bbox\": [379, 17, 431, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"N (%)\", \"bbox\": [1, 30, 20, 40]}, {\"cell\": \"235 (89.7%)\", \"bbox\": [84, 30, 123, 40]}, {\"cell\": \"27 (10.3%)\", \"bbox\": [173, 30, 208, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [246, 30, 271, 40]}, {\"cell\": \"104 (40.2%)\", \"bbox\": [300, 30, 338, 40]}, {\"cell\": \"155 (59.8%)\", \"bbox\": [379, 30, 418, 40]}, {\"cell\": \"p-value\", \"bbox\": [460, 30, 484, 40]}, {\"cell\": \"Age\", \"bbox\": [1, 44, 15, 54]}, {\"cell\": \" Mean/median\", \"bbox\": [8, 58, 55, 68]}, {\"cell\": \"71.4/71.4\", \"bbox\": [84, 58, 114, 68]}, {\"cell\": \"71.2/72.4\", \"bbox\": [173, 58, 204, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [246, 58, 265, 68]}, {\"cell\": \"72.2/72.5\", \"bbox\": [300, 58, 330, 68]}, {\"cell\": \"70.6/70.5\", \"bbox\": [379, 58, 409, 68]}, {\"cell\": \"0.069\", \"bbox\": [460, 58, 479, 68]}, {\"cell\": \" Range\", \"bbox\": [8, 72, 30, 82]}, {\"cell\": \"51.2–86.6\", \"bbox\": [84, 72, 116, 82]}, {\"cell\": \"56.2–86.8\", \"bbox\": [173, 72, 205, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"51.3–86.8\", \"bbox\": [300, 72, 331, 82]}, {\"cell\": \"51.2–86.6\", \"bbox\": [379, 72, 411, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Sex\", \"bbox\": [1, 86, 13, 96]}, {\"cell\": \" Female\", \"bbox\": [8, 100, 34, 110]}, {\"cell\": \"67 (84.8%)\", \"bbox\": [84, 100, 119, 110]}, {\"cell\": \"12 (15.2%)\", \"bbox\": [173, 100, 208, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [246, 100, 265, 110]}, {\"cell\": \"32 (40.0%)\", \"bbox\": [300, 100, 335, 110]}, {\"cell\": \"48 (60.0%)\", \"bbox\": [379, 100, 414, 110]}, {\"cell\": \"0.973\", \"bbox\": [460, 100, 479, 110]}, {\"cell\": \" Male\", \"bbox\": [8, 114, 26, 124]}, {\"cell\": \"168 (91.8%)\", \"bbox\": [84, 114, 123, 124]}, {\"cell\": \"15 (8.2%)\", \"bbox\": [173, 114, 204, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"72 (40.2%)\", \"bbox\": [300, 114, 335, 124]}, {\"cell\": \"107 (59.8%)\", \"bbox\": [379, 114, 418, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"T-stage\", \"bbox\": [1, 128, 26, 138]}, {\"cell\": \" Ta\", \"bbox\": [8, 142, 18, 152]}, {\"cell\": \"113 (100.0%)\", \"bbox\": [84, 142, 126, 152]}, {\"cell\": \"0 (0.0%)\", \"bbox\": [173, 142, 201, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [246, 142, 270, 152]}, {\"cell\": \"30 (26.3%)\", \"bbox\": [300, 142, 335, 152]}, {\"cell\": \"84 (73.7%)\", \"bbox\": [379, 142, 414, 152]}, {\"cell\": \"<0.001\", \"bbox\": [460, 142, 483, 152]}, {\"cell\": \" T1\", \"bbox\": [8, 156, 18, 166]}, {\"cell\": \"73 (88.0%)\", \"bbox\": [84, 156, 119, 166]}, {\"cell\": \"10 (12.0%)\", \"bbox\": [173, 156, 208, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"28 (34.6%)\", \"bbox\": [300, 156, 335, 166]}, {\"cell\": \"53 (65.4%)\", \"bbox\": [379, 156, 414, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" T2–4\", \"bbox\": [8, 170, 26, 180]}, {\"cell\": \"49 (74.2%)\", \"bbox\": [84, 170, 119, 180]}, {\"cell\": \"17 (25.8%)\", \"bbox\": [173, 170, 208, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"46 (71.9%)\", \"bbox\": [300, 170, 335, 180]}, {\"cell\": \"18 (28.1%)\", \"bbox\": [379, 170, 414, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Grade\", \"bbox\": [1, 184, 21, 194]}, {\"cell\": \" Low\", \"bbox\": [8, 198, 24, 208]}, {\"cell\": \"128 (99.2%)\", \"bbox\": [84, 198, 123, 208]}, {\"cell\": \"1 (0.8%)\", \"bbox\": [173, 198, 201, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [246, 198, 270, 208]}, {\"cell\": \"27 (20.8%)\", \"bbox\": [300, 198, 335, 208]}, {\"cell\": \"103 (79.2%)\", \"bbox\": [379, 198, 418, 208]}, {\"cell\": \"<0.001\", \"bbox\": [460, 198, 483, 208]}, {\"cell\": \" High\", \"bbox\": [8, 212, 26, 222]}, {\"cell\": \"107 (80.5%)\", \"bbox\": [84, 212, 123, 222]}, {\"cell\": \"26 (19.5%)\", \"bbox\": [173, 212, 208, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"77 (59.7%)\", \"bbox\": [300, 212, 335, 222]}, {\"cell\": \"52 (40.3%)\", \"bbox\": [379, 212, 414, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5348745_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Angiographic findings and procedural detailsLow GRACE group (N = 88)Intermediate to high GRACE group (N = 64)P-value
[EMPTY_CELL]
[EMPTY_CELL]9 (10.2)1 (1.6)0.045
[EMPTY_CELL]39 (44.3)21 (32.8)0.180
[EMPTY_CELL]24 (27.3)22 (34.4)0.375
[EMPTY_CELL]16 (18.2)20 (31.2)0.082
[EMPTY_CELL]
[EMPTY_CELL]14 (25.0)7 (18.0)0.461
[EMPTY_CELL]17 (30.4)11 (28.2)0.503
[EMPTY_CELL]17 (30.4)10 (25.6)0.651
[EMPTY_CELL]8 (14.2)11 (28.2)0.120
[EMPTY_CELL]
[EMPTY_CELL]32 (36.4)25 (39.1)0.738
[EMPTY_CELL]26 (81.2)15 (60.0)0.136
[EMPTY_CELL]6 (18.8)10 (40.0)0.136
[EMPTY_CELL]56 (63.6)39 (60.9)0.738
[EMPTY_CELL]50 (89.3)36 (92.3)0.733
[EMPTY_CELL]6 (10.7)3 (7.7)0.733
[EMPTY_CELL]
[EMPTY_CELL]1 (1.8)6 (15.4)0.018
[EMPTY_CELL]0 (0)3 (7.7)0.066
[EMPTY_CELL]13 (23.2)5 (13.2)0.290
[EMPTY_CELL]43 (76.8)29 (76.3)0.574
\", \"cells\": [{\"cell\": \"Angiographic findings and procedural details\", \"bbox\": [1, 4, 74, 22]}, {\"cell\": \"Low GRACE group (N = 88)\", \"bbox\": [82, 4, 131, 22]}, {\"cell\": \"Intermediate to high GRACE group (N = 64)\", \"bbox\": [135, 4, 207, 22]}, {\"cell\": \"P-value\", \"bbox\": [212, 4, 236, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 26, 94, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 40, 50, 50]}, {\"cell\": \"9 (10.2)\", \"bbox\": [82, 40, 108, 50]}, {\"cell\": \"1 (1.6)\", \"bbox\": [135, 40, 156, 50]}, {\"cell\": \"0.045\", \"bbox\": [212, 40, 230, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 54, 76, 64]}, {\"cell\": \"39 (44.3)\", \"bbox\": [82, 54, 111, 64]}, {\"cell\": \"21 (32.8)\", \"bbox\": [135, 54, 164, 64]}, {\"cell\": \"0.180\", \"bbox\": [212, 54, 230, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 68, 78, 78]}, {\"cell\": \"24 (27.3)\", \"bbox\": [82, 68, 111, 78]}, {\"cell\": \"22 (34.4)\", \"bbox\": [135, 68, 164, 78]}, {\"cell\": \"0.375\", \"bbox\": [212, 68, 230, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 82, 74, 92]}, {\"cell\": \"16 (18.2)\", \"bbox\": [82, 82, 111, 92]}, {\"cell\": \"20 (31.2)\", \"bbox\": [135, 82, 164, 92]}, {\"cell\": \"0.082\", \"bbox\": [212, 82, 230, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 96, 127, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 110, 33, 120]}, {\"cell\": \"14 (25.0)\", \"bbox\": [82, 110, 111, 120]}, {\"cell\": \"7 (18.0)\", \"bbox\": [135, 110, 160, 120]}, {\"cell\": \"0.461\", \"bbox\": [212, 110, 230, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 124, 36, 134]}, {\"cell\": \"17 (30.4)\", \"bbox\": [82, 124, 111, 134]}, {\"cell\": \"11 (28.2)\", \"bbox\": [135, 124, 164, 134]}, {\"cell\": \"0.503\", \"bbox\": [212, 124, 230, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 138, 36, 148]}, {\"cell\": \"17 (30.4)\", \"bbox\": [82, 138, 111, 148]}, {\"cell\": \"10 (25.6)\", \"bbox\": [135, 138, 164, 148]}, {\"cell\": \"0.651\", \"bbox\": [212, 138, 230, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 152, 33, 162]}, {\"cell\": \"8 (14.2)\", \"bbox\": [82, 152, 108, 162]}, {\"cell\": \"11 (28.2)\", \"bbox\": [135, 152, 164, 162]}, {\"cell\": \"0.120\", \"bbox\": [212, 152, 230, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 166, 73, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 180, 66, 199]}, {\"cell\": \"32 (36.4)\", \"bbox\": [82, 180, 111, 190]}, {\"cell\": \"25 (39.1)\", \"bbox\": [135, 180, 164, 190]}, {\"cell\": \"0.738\", \"bbox\": [212, 180, 230, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 203, 69, 213]}, {\"cell\": \"26 (81.2)\", \"bbox\": [82, 203, 111, 213]}, {\"cell\": \"15 (60.0)\", \"bbox\": [135, 203, 164, 213]}, {\"cell\": \"0.136\", \"bbox\": [212, 203, 230, 213]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 217, 29, 227]}, {\"cell\": \"6 (18.8)\", \"bbox\": [82, 217, 108, 227]}, {\"cell\": \"10 (40.0)\", \"bbox\": [135, 217, 164, 227]}, {\"cell\": \"0.136\", \"bbox\": [212, 217, 230, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 231, 41, 241]}, {\"cell\": \"56 (63.6)\", \"bbox\": [82, 231, 111, 241]}, {\"cell\": \"39 (60.9)\", \"bbox\": [135, 231, 164, 241]}, {\"cell\": \"0.738\", \"bbox\": [212, 231, 230, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 245, 65, 255]}, {\"cell\": \"50 (89.3)\", \"bbox\": [82, 245, 111, 255]}, {\"cell\": \"36 (92.3)\", \"bbox\": [135, 245, 164, 255]}, {\"cell\": \"0.733\", \"bbox\": [212, 245, 230, 255]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 259, 58, 269]}, {\"cell\": \"6 (10.7)\", \"bbox\": [82, 259, 108, 269]}, {\"cell\": \"3 (7.7)\", \"bbox\": [135, 259, 156, 269]}, {\"cell\": \"0.733\", \"bbox\": [212, 259, 230, 269]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 273, 80, 283]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 287, 28, 297]}, {\"cell\": \"1 (1.8)\", \"bbox\": [82, 287, 104, 297]}, {\"cell\": \"6 (15.4)\", \"bbox\": [135, 287, 160, 297]}, {\"cell\": \"0.018\", \"bbox\": [212, 287, 230, 297]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 301, 76, 311]}, {\"cell\": \"0 (0)\", \"bbox\": [82, 301, 99, 311]}, {\"cell\": \"3 (7.7)\", \"bbox\": [135, 301, 156, 311]}, {\"cell\": \"0.066\", \"bbox\": [212, 301, 230, 311]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 315, 63, 325]}, {\"cell\": \"13 (23.2)\", \"bbox\": [82, 315, 111, 325]}, {\"cell\": \"5 (13.2)\", \"bbox\": [135, 315, 160, 325]}, {\"cell\": \"0.290\", \"bbox\": [212, 315, 230, 325]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 329, 69, 339]}, {\"cell\": \"43 (76.8)\", \"bbox\": [82, 329, 111, 339]}, {\"cell\": \"29 (76.3)\", \"bbox\": [135, 329, 164, 339]}, {\"cell\": \"0.574\", \"bbox\": [212, 329, 230, 339]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5100095_004_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Transport parameterHost materialPressure step (mbar)
0–1170–2000–200; pre-sat. with Benzene 85 mbar Run 10–200; pre-sat. with Benzene 85 mbar Run 2
D×1012 (m2 s−1)SAPO-34-microporous4.954.850.756[EMPTY_CELL]
SAPO-34-meso-283.896.65.3205.55
α×107 (m s−1)SAPO-34-microporous5.6773.22.13[EMPTY_CELL]
SAPO-34-meso-2104.84125.566.970.6
\", \"cells\": [{\"cell\": \"Transport parameter\", \"bbox\": [13, 17, 65, 45]}, {\"cell\": \"Host material\", \"bbox\": [110, 24, 176, 38]}, {\"cell\": \"Pressure step (mbar)\", \"bbox\": [303, 2, 403, 17]}, {\"cell\": \"0–117\", \"bbox\": [211, 30, 241, 47]}, {\"cell\": \"0–200\", \"bbox\": [256, 30, 286, 47]}, {\"cell\": \"0–200; pre-sat. with Benzene 85 mbar Run 1\", \"bbox\": [300, 16, 391, 60]}, {\"cell\": \"0–200; pre-sat. with Benzene 85 mbar Run 2\", \"bbox\": [402, 16, 498, 60]}, {\"cell\": \"D×1012 (m2 s−1)\", \"bbox\": [0, 54, 77, 84]}, {\"cell\": \"SAPO-34-microporous\", \"bbox\": [88, 59, 198, 74]}, {\"cell\": \"4.95\", \"bbox\": [216, 59, 237, 74]}, {\"cell\": \"4.85\", \"bbox\": [261, 59, 282, 74]}, {\"cell\": \"0.756\", \"bbox\": [332, 60, 359, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [437, 60, 463, 74]}, {\"cell\": \"SAPO-34-meso-2\", \"bbox\": [102, 73, 184, 88]}, {\"cell\": \"83.8\", \"bbox\": [216, 73, 237, 88]}, {\"cell\": \"96.6\", \"bbox\": [261, 73, 282, 88]}, {\"cell\": \"5.320\", \"bbox\": [332, 74, 359, 88]}, {\"cell\": \"5.55\", \"bbox\": [439, 74, 461, 88]}, {\"cell\": \"α×107 (m s−1)\", \"bbox\": [3, 83, 73, 112]}, {\"cell\": \"SAPO-34-microporous\", \"bbox\": [88, 88, 198, 103]}, {\"cell\": \"5.67\", \"bbox\": [216, 88, 237, 103]}, {\"cell\": \"73.2\", \"bbox\": [261, 88, 282, 103]}, {\"cell\": \"2.13\", \"bbox\": [335, 88, 356, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [439, 88, 461, 103]}, {\"cell\": \"SAPO-34-meso-2\", \"bbox\": [102, 102, 184, 117]}, {\"cell\": \"104.84\", \"bbox\": [210, 102, 242, 117]}, {\"cell\": \"125.5\", \"bbox\": [258, 102, 285, 117]}, {\"cell\": \"66.9\", \"bbox\": [335, 102, 356, 117]}, {\"cell\": \"70.6\", \"bbox\": [439, 102, 461, 117]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5521224_014_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL][EMPTY_CELL]Histopathological[EMPTY_CELL][EMPTY_CELL]TobaccoDuration of
PatientsLesion siteDiagnosisAgeSexExposurefollow-up(mo)
1Left lateral tongueMild to moderate dysplasia45female[EMPTY_CELL]40
2Right lateral palatineMild to moderate dysplasia67male[EMPTY_CELL]36
3Right lateral palatineMild to moderate dysplasia55female[EMPTY_CELL]39
4right lateral tongueMild to moderate dysplasia54female[EMPTY_CELL]36
5right cheek mucosaMild to moderate dysplasia64male[EMPTY_CELL]43
6right cheek mocusaMild to moderate dysplasia57male[EMPTY_CELL]46
7left cheek mucosaMild dysplasia61male[EMPTY_CELL]39
8left lateral tongueSevere dysplasia SCC micro-foci71male[EMPTY_CELL]29
9lower lipSevere dysplasia, SCC micro-foci60female[EMPTY_CELL]28
10left cheekSevere dysplasia SCC micro-foci52female[EMPTY_CELL]34
11palateSevere dysplasia55female[EMPTY_CELL]35
12left cheekSevere dysplasia66male[EMPTY_CELL]30
13right lateral tonguecarcinoma in situ61female[EMPTY_CELL]29
14right lateral tonguecarcinoma in situ71male[EMPTY_CELL]30
15left cheekmoderate to severe dysplasia SCC micro-foci59male[EMPTY_CELL]26
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Histopathological\", \"bbox\": [132, 4, 195, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Tobacco\", \"bbox\": [366, 4, 397, 13]}, {\"cell\": \"Duration of\", \"bbox\": [434, 4, 475, 13]}, {\"cell\": \"Patients\", \"bbox\": [1, 17, 30, 26]}, {\"cell\": \"Lesion site\", \"bbox\": [47, 17, 86, 26]}, {\"cell\": \"Diagnosis\", \"bbox\": [132, 17, 167, 26]}, {\"cell\": \"Age\", \"bbox\": [293, 17, 309, 26]}, {\"cell\": \"Sex\", \"bbox\": [326, 17, 340, 26]}, {\"cell\": \"Exposure\", \"bbox\": [366, 17, 400, 26]}, {\"cell\": \"follow-up(mo)\", \"bbox\": [434, 17, 484, 26]}, {\"cell\": \"1\", \"bbox\": [1, 30, 6, 40]}, {\"cell\": \"Left lateral tongue\", \"bbox\": [47, 30, 108, 40]}, {\"cell\": \"Mild to moderate dysplasia\", \"bbox\": [132, 30, 221, 40]}, {\"cell\": \"45\", \"bbox\": [293, 30, 303, 40]}, {\"cell\": \"female\", \"bbox\": [326, 30, 350, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 30, 415, 40]}, {\"cell\": \"40\", \"bbox\": [434, 30, 443, 40]}, {\"cell\": \"2\", \"bbox\": [1, 44, 6, 54]}, {\"cell\": \"Right lateral palatine\", \"bbox\": [47, 44, 115, 54]}, {\"cell\": \"Mild to moderate dysplasia\", \"bbox\": [132, 44, 221, 54]}, {\"cell\": \"67\", \"bbox\": [293, 44, 303, 54]}, {\"cell\": \"male\", \"bbox\": [326, 44, 344, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 44, 417, 54]}, {\"cell\": \"36\", \"bbox\": [434, 44, 443, 54]}, {\"cell\": \"3\", \"bbox\": [1, 58, 6, 68]}, {\"cell\": \"Right lateral palatine\", \"bbox\": [47, 58, 115, 68]}, {\"cell\": \"Mild to moderate dysplasia\", \"bbox\": [132, 58, 221, 68]}, {\"cell\": \"55\", \"bbox\": [293, 58, 303, 68]}, {\"cell\": \"female\", \"bbox\": [326, 58, 350, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 58, 414, 68]}, {\"cell\": \"39\", \"bbox\": [434, 58, 443, 68]}, {\"cell\": \"4\", \"bbox\": [1, 72, 6, 82]}, {\"cell\": \"right lateral tongue\", \"bbox\": [47, 72, 111, 82]}, {\"cell\": \"Mild to moderate dysplasia\", \"bbox\": [132, 72, 221, 82]}, {\"cell\": \"54\", \"bbox\": [293, 72, 303, 82]}, {\"cell\": \"female\", \"bbox\": [326, 72, 350, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 72, 414, 82]}, {\"cell\": \"36\", \"bbox\": [434, 72, 443, 82]}, {\"cell\": \"5\", \"bbox\": [1, 86, 6, 96]}, {\"cell\": \"right cheek mucosa\", \"bbox\": [47, 86, 112, 96]}, {\"cell\": \"Mild to moderate dysplasia\", \"bbox\": [132, 86, 221, 96]}, {\"cell\": \"64\", \"bbox\": [293, 86, 303, 96]}, {\"cell\": \"male\", \"bbox\": [326, 86, 344, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 86, 417, 96]}, {\"cell\": \"43\", \"bbox\": [434, 86, 443, 96]}, {\"cell\": \"6\", \"bbox\": [1, 100, 6, 110]}, {\"cell\": \"right cheek mocusa\", \"bbox\": [47, 100, 112, 110]}, {\"cell\": \"Mild to moderate dysplasia\", \"bbox\": [132, 100, 221, 110]}, {\"cell\": \"57\", \"bbox\": [293, 100, 303, 110]}, {\"cell\": \"male\", \"bbox\": [326, 100, 344, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 100, 417, 110]}, {\"cell\": \"46\", \"bbox\": [434, 100, 443, 110]}, {\"cell\": \"7\", \"bbox\": [1, 114, 6, 124]}, {\"cell\": \"left cheek mucosa\", \"bbox\": [47, 114, 107, 124]}, {\"cell\": \"Mild dysplasia\", \"bbox\": [132, 114, 178, 124]}, {\"cell\": \"61\", \"bbox\": [293, 114, 303, 124]}, {\"cell\": \"male\", \"bbox\": [326, 114, 344, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 114, 417, 124]}, {\"cell\": \"39\", \"bbox\": [434, 114, 443, 124]}, {\"cell\": \"8\", \"bbox\": [1, 128, 6, 138]}, {\"cell\": \"left lateral tongue\", \"bbox\": [47, 128, 106, 138]}, {\"cell\": \"Severe dysplasia SCC micro-foci\", \"bbox\": [132, 128, 235, 138]}, {\"cell\": \"71\", \"bbox\": [293, 128, 303, 138]}, {\"cell\": \"male\", \"bbox\": [326, 128, 344, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 128, 417, 138]}, {\"cell\": \"29\", \"bbox\": [434, 128, 443, 138]}, {\"cell\": \"9\", \"bbox\": [1, 142, 6, 152]}, {\"cell\": \"lower lip\", \"bbox\": [47, 142, 77, 152]}, {\"cell\": \"Severe dysplasia, SCC micro-foci\", \"bbox\": [132, 142, 236, 152]}, {\"cell\": \"60\", \"bbox\": [293, 142, 303, 152]}, {\"cell\": \"female\", \"bbox\": [326, 142, 350, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 142, 414, 152]}, {\"cell\": \"28\", \"bbox\": [434, 142, 443, 152]}, {\"cell\": \"10\", \"bbox\": [1, 156, 10, 166]}, {\"cell\": \"left cheek\", \"bbox\": [47, 156, 80, 166]}, {\"cell\": \"Severe dysplasia SCC micro-foci\", \"bbox\": [132, 156, 235, 166]}, {\"cell\": \"52\", \"bbox\": [293, 156, 303, 166]}, {\"cell\": \"female\", \"bbox\": [326, 156, 350, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 156, 415, 166]}, {\"cell\": \"34\", \"bbox\": [434, 156, 443, 166]}, {\"cell\": \"11\", \"bbox\": [1, 170, 10, 180]}, {\"cell\": \"palate\", \"bbox\": [47, 170, 68, 180]}, {\"cell\": \"Severe dysplasia\", \"bbox\": [132, 170, 186, 180]}, {\"cell\": \"55\", \"bbox\": [293, 170, 303, 180]}, {\"cell\": \"female\", \"bbox\": [326, 170, 350, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 170, 414, 180]}, {\"cell\": \"35\", \"bbox\": [434, 170, 443, 180]}, {\"cell\": \"12\", \"bbox\": [1, 184, 10, 194]}, {\"cell\": \"left cheek\", \"bbox\": [47, 184, 80, 194]}, {\"cell\": \"Severe dysplasia\", \"bbox\": [132, 184, 186, 194]}, {\"cell\": \"66\", \"bbox\": [293, 184, 303, 194]}, {\"cell\": \"male\", \"bbox\": [326, 184, 344, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 184, 415, 194]}, {\"cell\": \"30\", \"bbox\": [434, 184, 443, 194]}, {\"cell\": \"13\", \"bbox\": [1, 198, 10, 208]}, {\"cell\": \"right lateral tongue\", \"bbox\": [47, 198, 111, 208]}, {\"cell\": \"carcinoma in situ\", \"bbox\": [132, 198, 189, 208]}, {\"cell\": \"61\", \"bbox\": [293, 198, 303, 208]}, {\"cell\": \"female\", \"bbox\": [326, 198, 350, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 198, 414, 208]}, {\"cell\": \"29\", \"bbox\": [434, 198, 443, 208]}, {\"cell\": \"14\", \"bbox\": [1, 212, 10, 222]}, {\"cell\": \"right lateral tongue\", \"bbox\": [47, 212, 111, 222]}, {\"cell\": \"carcinoma in situ\", \"bbox\": [132, 212, 189, 222]}, {\"cell\": \"71\", \"bbox\": [293, 212, 303, 222]}, {\"cell\": \"male\", \"bbox\": [326, 212, 344, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 212, 414, 222]}, {\"cell\": \"30\", \"bbox\": [434, 212, 443, 222]}, {\"cell\": \"15\", \"bbox\": [1, 226, 10, 236]}, {\"cell\": \"left cheek\", \"bbox\": [47, 226, 80, 236]}, {\"cell\": \"moderate to severe dysplasia SCC micro-foci\", \"bbox\": [132, 226, 277, 236]}, {\"cell\": \"59\", \"bbox\": [293, 226, 303, 236]}, {\"cell\": \"male\", \"bbox\": [326, 226, 344, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 226, 417, 236]}, {\"cell\": \"26\", \"bbox\": [434, 226, 443, 236]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3637283_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
DescriptionCPGMembersDuplicate typeLRT statisticsdN/dS
M1 vs. M2M7 vs. M8M8 vs. M8a
Hypothetical proteinCPG1994DD17.30***17.68***17.07***[EMPTY_CELL]
Hypothetical proteinCPG2934SD,DD7.34*7.58*6.68*[EMPTY_CELL]
Hypothetical proteinCPG4463TD15.34***16.15***16.52***[EMPTY_CELL]
Hypothetical proteinCPG7673TD,DD13.80**13.92***13.26**[EMPTY_CELL]
Surface adhesion proteinCPG8443SD, DD21.04***21.03***22.81***[EMPTY_CELL]
Serine protease inhibitor 106CPG9453TD,DD5.855.925.8[EMPTY_CELL]
Serine protease inhibitor 106CPG19742DD15.81***16.31**15.81***[EMPTY_CELL]
LPXTG-motif cell wall anchor domain protein+CPG17762SD14.38***14.39**14.38***[EMPTY_CELL]
DnaJ homolog subfamily C member 9CPG17922SD13.76**13.85***19.87***[EMPTY_CELL]
NIK and IKK(beta) binding proteinCPG18782SD12.22**12.59**14.57***[EMPTY_CELL]
Replication-associated proteinCPG21402DD18.67***18.76***21.14***[EMPTY_CELL]
Glucan endo-1,6-beta-glucosidaseCPG16402DD5.725.729.64**[EMPTY_CELL]
Integrator complex subunit 4CPG21202SD8.46*8.59*8.22*[EMPTY_CELL]
Hypothetical proteinCPG9613DD21.04***22.99***19.99***[EMPTY_CELL]
Hypothetical proteinCPG15202SD15.28***15.37***15.13***[EMPTY_CELL]
Hypothetical proteinCPG16372SD18.44***18.75***20.57***[EMPTY_CELL]
Hypothetical proteinCPG9873DD13.65**13.37**13.11**[EMPTY_CELL]
Hypothetical proteinCPG18652SD10.90**10.94**10.70**[EMPTY_CELL]
Hypothetical proteinCPG19672SD6.06*6.81*5.48[EMPTY_CELL]
Hypothetical proteinCPG20262DD8.28*8.41*15.98***[EMPTY_CELL]
Hypothetical proteinCPG20832DD29.01***29.00***31.16***[EMPTY_CELL]
hypothetical proteinCPG7753SD14.05***14.05***12.37**[EMPTY_CELL]
Hypothetical proteinCPG21282SD17.79***17.85***19.27***[EMPTY_CELL]
Hypothetical proteinCPG8693SD, DD17.45***17.85***17.31***[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Description\", \"bbox\": [1, 4, 42, 13]}, {\"cell\": \"CPG\", \"bbox\": [164, 4, 180, 13]}, {\"cell\": \"Members\", \"bbox\": [206, 4, 241, 13]}, {\"cell\": \"Duplicate type\", \"bbox\": [253, 4, 287, 22]}, {\"cell\": \"LRT statistics\", \"bbox\": [349, 4, 395, 13]}, {\"cell\": \"dN/dS\", \"bbox\": [454, 4, 478, 13]}, {\"cell\": \"M1 vs. M2\", \"bbox\": [302, 17, 339, 27]}, {\"cell\": \"M7 vs. M8\", \"bbox\": [351, 17, 389, 27]}, {\"cell\": \"M8 vs. M8a\", \"bbox\": [401, 17, 442, 27]}, {\"cell\": \"Hypothetical protein\", \"bbox\": [1, 30, 68, 40]}, {\"cell\": \"CPG199\", \"bbox\": [164, 30, 191, 40]}, {\"cell\": \"4\", \"bbox\": [206, 30, 212, 40]}, {\"cell\": \"DD\", \"bbox\": [253, 30, 265, 40]}, {\"cell\": \"17.30***\", \"bbox\": [302, 30, 330, 40]}, {\"cell\": \"17.68***\", \"bbox\": [351, 30, 379, 40]}, {\"cell\": \"17.07***\", \"bbox\": [401, 30, 429, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [454, 30, 481, 40]}, {\"cell\": \"Hypothetical protein\", \"bbox\": [1, 44, 68, 54]}, {\"cell\": \"CPG293\", \"bbox\": [164, 44, 191, 54]}, {\"cell\": \"4\", \"bbox\": [206, 44, 212, 54]}, {\"cell\": \"SD,DD\", \"bbox\": [253, 44, 275, 54]}, {\"cell\": \"7.34*\", \"bbox\": [302, 44, 320, 54]}, {\"cell\": \"7.58*\", \"bbox\": [351, 44, 369, 54]}, {\"cell\": \"6.68*\", \"bbox\": [401, 44, 419, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [454, 44, 484, 54]}, {\"cell\": \"Hypothetical protein\", \"bbox\": [1, 58, 68, 68]}, {\"cell\": \"CPG446\", \"bbox\": [164, 58, 191, 68]}, {\"cell\": \"3\", \"bbox\": [206, 58, 212, 68]}, {\"cell\": \"TD\", \"bbox\": [253, 58, 263, 68]}, {\"cell\": \"15.34***\", \"bbox\": [302, 58, 330, 68]}, {\"cell\": \"16.15***\", \"bbox\": [351, 58, 379, 68]}, {\"cell\": \"16.52***\", \"bbox\": [401, 58, 429, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [454, 58, 484, 68]}, {\"cell\": \"Hypothetical protein\", \"bbox\": [1, 72, 68, 82]}, {\"cell\": \"CPG767\", \"bbox\": [164, 72, 191, 82]}, {\"cell\": \"3\", \"bbox\": [206, 72, 212, 82]}, {\"cell\": \"TD,DD\", \"bbox\": [253, 72, 275, 82]}, {\"cell\": \"13.80**\", \"bbox\": [302, 72, 327, 82]}, {\"cell\": \"13.92***\", \"bbox\": [351, 72, 379, 82]}, {\"cell\": \"13.26**\", \"bbox\": [401, 72, 426, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [454, 72, 484, 82]}, {\"cell\": \"Surface adhesion protein\", \"bbox\": [1, 86, 82, 96]}, {\"cell\": \"CPG844\", \"bbox\": [164, 86, 191, 96]}, {\"cell\": \"3\", \"bbox\": [206, 86, 212, 96]}, {\"cell\": \"SD, DD\", \"bbox\": [253, 86, 277, 96]}, {\"cell\": \"21.04***\", \"bbox\": [302, 86, 330, 96]}, {\"cell\": \"21.03***\", \"bbox\": [351, 86, 379, 96]}, {\"cell\": \"22.81***\", \"bbox\": [401, 86, 429, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [454, 86, 481, 96]}, {\"cell\": \"Serine protease inhibitor 106\", \"bbox\": [1, 100, 95, 110]}, {\"cell\": \"CPG945\", \"bbox\": [164, 100, 191, 110]}, {\"cell\": \"3\", \"bbox\": [206, 100, 212, 110]}, {\"cell\": \"TD,DD\", \"bbox\": [253, 100, 275, 110]}, {\"cell\": \"5.85\", \"bbox\": [302, 100, 317, 110]}, {\"cell\": \"5.92\", \"bbox\": [351, 100, 366, 110]}, {\"cell\": \"5.8\", \"bbox\": [401, 100, 412, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [454, 100, 484, 110]}, {\"cell\": \"Serine protease inhibitor 106\", \"bbox\": [1, 114, 95, 124]}, {\"cell\": \"CPG1974\", \"bbox\": [164, 114, 194, 124]}, {\"cell\": \"2\", \"bbox\": [206, 114, 212, 124]}, {\"cell\": \"DD\", \"bbox\": [253, 114, 265, 124]}, {\"cell\": \"15.81***\", \"bbox\": [302, 114, 330, 124]}, {\"cell\": \"16.31**\", \"bbox\": [351, 114, 376, 124]}, {\"cell\": \"15.81***\", \"bbox\": [401, 114, 429, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [454, 114, 481, 124]}, {\"cell\": \"LPXTG-motif cell wall anchor domain protein+\", \"bbox\": [1, 128, 152, 138]}, {\"cell\": \"CPG1776\", \"bbox\": [164, 128, 194, 138]}, {\"cell\": \"2\", \"bbox\": [206, 128, 212, 138]}, {\"cell\": \"SD\", \"bbox\": [253, 128, 263, 138]}, {\"cell\": \"14.38***\", \"bbox\": [302, 128, 330, 138]}, {\"cell\": \"14.39**\", \"bbox\": [351, 128, 376, 138]}, {\"cell\": \"14.38***\", \"bbox\": [401, 128, 429, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [454, 128, 484, 138]}, {\"cell\": \"DnaJ homolog subfamily C member 9\", \"bbox\": [1, 142, 126, 152]}, {\"cell\": \"CPG1792\", \"bbox\": [164, 142, 194, 152]}, {\"cell\": \"2\", \"bbox\": [206, 142, 212, 152]}, {\"cell\": \"SD\", \"bbox\": [253, 142, 263, 152]}, {\"cell\": \"13.76**\", \"bbox\": [302, 142, 327, 152]}, {\"cell\": \"13.85***\", \"bbox\": [351, 142, 379, 152]}, {\"cell\": \"19.87***\", \"bbox\": [401, 142, 429, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [454, 142, 484, 152]}, {\"cell\": \"NIK and IKK(beta) binding protein\", \"bbox\": [1, 156, 110, 166]}, {\"cell\": \"CPG1878\", \"bbox\": [164, 156, 194, 166]}, {\"cell\": \"2\", \"bbox\": [206, 156, 212, 166]}, {\"cell\": \"SD\", \"bbox\": [253, 156, 263, 166]}, {\"cell\": \"12.22**\", \"bbox\": [302, 156, 327, 166]}, {\"cell\": \"12.59**\", \"bbox\": [351, 156, 376, 166]}, {\"cell\": \"14.57***\", \"bbox\": [401, 156, 429, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [454, 156, 484, 166]}, {\"cell\": \"Replication-associated protein\", \"bbox\": [1, 170, 98, 180]}, {\"cell\": \"CPG2140\", \"bbox\": [164, 170, 194, 180]}, {\"cell\": \"2\", \"bbox\": [206, 170, 212, 180]}, {\"cell\": \"DD\", \"bbox\": [253, 170, 265, 180]}, {\"cell\": \"18.67***\", \"bbox\": [302, 170, 330, 180]}, {\"cell\": \"18.76***\", \"bbox\": [351, 170, 379, 180]}, {\"cell\": \"21.14***\", \"bbox\": [401, 170, 429, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [454, 170, 484, 180]}, {\"cell\": \"Glucan endo-1,6-beta-glucosidase\", \"bbox\": [1, 184, 111, 194]}, {\"cell\": \"CPG1640\", \"bbox\": [164, 184, 194, 194]}, {\"cell\": \"2\", \"bbox\": [206, 184, 212, 194]}, {\"cell\": \"DD\", \"bbox\": [253, 184, 265, 194]}, {\"cell\": \"5.72\", \"bbox\": [302, 184, 317, 194]}, {\"cell\": \"5.72\", \"bbox\": [351, 184, 366, 194]}, {\"cell\": \"9.64**\", \"bbox\": [401, 184, 422, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [454, 184, 484, 194]}, {\"cell\": \"Integrator complex subunit 4\", \"bbox\": [1, 198, 96, 208]}, {\"cell\": \"CPG2120\", \"bbox\": [164, 198, 194, 208]}, {\"cell\": \"2\", \"bbox\": [206, 198, 212, 208]}, {\"cell\": \"SD\", \"bbox\": [253, 198, 263, 208]}, {\"cell\": \"8.46*\", \"bbox\": [302, 198, 320, 208]}, {\"cell\": \"8.59*\", \"bbox\": [351, 198, 369, 208]}, {\"cell\": \"8.22*\", \"bbox\": [401, 198, 419, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [454, 198, 484, 208]}, {\"cell\": \"Hypothetical protein\", \"bbox\": [1, 212, 68, 222]}, {\"cell\": \"CPG961\", \"bbox\": [164, 212, 191, 222]}, {\"cell\": \"3\", \"bbox\": [206, 212, 212, 222]}, {\"cell\": \"DD\", \"bbox\": [253, 212, 265, 222]}, {\"cell\": \"21.04***\", \"bbox\": [302, 212, 330, 222]}, {\"cell\": \"22.99***\", \"bbox\": [351, 212, 379, 222]}, {\"cell\": \"19.99***\", \"bbox\": [401, 212, 429, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [454, 212, 477, 222]}, {\"cell\": \"Hypothetical protein\", \"bbox\": [1, 226, 68, 236]}, {\"cell\": \"CPG1520\", \"bbox\": [164, 226, 194, 236]}, {\"cell\": \"2\", \"bbox\": [206, 226, 212, 236]}, {\"cell\": \"SD\", \"bbox\": [253, 226, 263, 236]}, {\"cell\": \"15.28***\", \"bbox\": [302, 226, 330, 236]}, {\"cell\": \"15.37***\", \"bbox\": [351, 226, 379, 236]}, {\"cell\": \"15.13***\", \"bbox\": [401, 226, 429, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [454, 226, 481, 236]}, {\"cell\": \"Hypothetical protein\", \"bbox\": [1, 240, 68, 250]}, {\"cell\": \"CPG1637\", \"bbox\": [164, 240, 194, 250]}, {\"cell\": \"2\", \"bbox\": [206, 240, 212, 250]}, {\"cell\": \"SD\", \"bbox\": [253, 240, 263, 250]}, {\"cell\": \"18.44***\", \"bbox\": [302, 240, 330, 250]}, {\"cell\": \"18.75***\", \"bbox\": [351, 240, 379, 250]}, {\"cell\": \"20.57***\", \"bbox\": [401, 240, 429, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [454, 240, 484, 250]}, {\"cell\": \"Hypothetical protein\", \"bbox\": [1, 254, 68, 264]}, {\"cell\": \"CPG987\", \"bbox\": [164, 254, 191, 264]}, {\"cell\": \"3\", \"bbox\": [206, 254, 212, 264]}, {\"cell\": \"DD\", \"bbox\": [253, 254, 265, 264]}, {\"cell\": \"13.65**\", \"bbox\": [302, 254, 327, 264]}, {\"cell\": \"13.37**\", \"bbox\": [351, 254, 376, 264]}, {\"cell\": \"13.11**\", \"bbox\": [401, 254, 426, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [454, 254, 484, 264]}, {\"cell\": \"Hypothetical protein\", \"bbox\": [1, 268, 68, 278]}, {\"cell\": \"CPG1865\", \"bbox\": [164, 268, 194, 278]}, {\"cell\": \"2\", \"bbox\": [206, 268, 212, 278]}, {\"cell\": \"SD\", \"bbox\": [253, 268, 263, 278]}, {\"cell\": \"10.90**\", \"bbox\": [302, 268, 327, 278]}, {\"cell\": \"10.94**\", \"bbox\": [351, 268, 376, 278]}, {\"cell\": \"10.70**\", \"bbox\": [401, 268, 426, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [454, 268, 484, 278]}, {\"cell\": \"Hypothetical protein\", \"bbox\": [1, 282, 68, 292]}, {\"cell\": \"CPG1967\", \"bbox\": [164, 282, 194, 292]}, {\"cell\": \"2\", \"bbox\": [206, 282, 212, 292]}, {\"cell\": \"SD\", \"bbox\": [253, 282, 263, 292]}, {\"cell\": \"6.06*\", \"bbox\": [302, 282, 320, 292]}, {\"cell\": \"6.81*\", \"bbox\": [351, 282, 369, 292]}, {\"cell\": \"5.48\", \"bbox\": [401, 282, 416, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [454, 282, 484, 292]}, {\"cell\": \"Hypothetical protein\", \"bbox\": [1, 296, 68, 306]}, {\"cell\": \"CPG2026\", \"bbox\": [164, 296, 194, 306]}, {\"cell\": \"2\", \"bbox\": [206, 296, 212, 306]}, {\"cell\": \"DD\", \"bbox\": [253, 296, 265, 306]}, {\"cell\": \"8.28*\", \"bbox\": [302, 296, 320, 306]}, {\"cell\": \"8.41*\", \"bbox\": [351, 296, 369, 306]}, {\"cell\": \"15.98***\", \"bbox\": [401, 296, 429, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [454, 296, 481, 306]}, {\"cell\": \"Hypothetical protein\", \"bbox\": [1, 310, 68, 320]}, {\"cell\": \"CPG2083\", \"bbox\": [164, 310, 194, 320]}, {\"cell\": \"2\", \"bbox\": [206, 310, 212, 320]}, {\"cell\": \"DD\", \"bbox\": [253, 310, 265, 320]}, {\"cell\": \"29.01***\", \"bbox\": [302, 310, 330, 320]}, {\"cell\": \"29.00***\", \"bbox\": [351, 310, 379, 320]}, {\"cell\": \"31.16***\", \"bbox\": [401, 310, 429, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [454, 310, 484, 320]}, {\"cell\": \"hypothetical protein\", \"bbox\": [1, 324, 68, 334]}, {\"cell\": \"CPG775\", \"bbox\": [164, 324, 191, 334]}, {\"cell\": \"3\", \"bbox\": [206, 324, 212, 334]}, {\"cell\": \"SD\", \"bbox\": [253, 324, 263, 334]}, {\"cell\": \"14.05***\", \"bbox\": [302, 324, 330, 334]}, {\"cell\": \"14.05***\", \"bbox\": [351, 324, 379, 334]}, {\"cell\": \"12.37**\", \"bbox\": [401, 324, 426, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [454, 324, 477, 334]}, {\"cell\": \"Hypothetical protein\", \"bbox\": [1, 338, 68, 348]}, {\"cell\": \"CPG2128\", \"bbox\": [164, 338, 194, 348]}, {\"cell\": \"2\", \"bbox\": [206, 338, 212, 348]}, {\"cell\": \"SD\", \"bbox\": [253, 338, 263, 348]}, {\"cell\": \"17.79***\", \"bbox\": [302, 338, 330, 348]}, {\"cell\": \"17.85***\", \"bbox\": [351, 338, 379, 348]}, {\"cell\": \"19.27***\", \"bbox\": [401, 338, 429, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [454, 338, 484, 348]}, {\"cell\": \"Hypothetical protein\", \"bbox\": [1, 352, 68, 362]}, {\"cell\": \"CPG869\", \"bbox\": [164, 352, 191, 362]}, {\"cell\": \"3\", \"bbox\": [206, 352, 212, 362]}, {\"cell\": \"SD, DD\", \"bbox\": [253, 352, 277, 362]}, {\"cell\": \"17.45***\", \"bbox\": [302, 352, 330, 362]}, {\"cell\": \"17.85***\", \"bbox\": [351, 352, 379, 362]}, {\"cell\": \"17.31***\", \"bbox\": [401, 352, 429, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [454, 352, 481, 362]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3614468_009_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]First assessmentSecond assessmentICC95% confidence interval
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]3,849 (1,470 to 8,132)4,349 (2,120 to 7,508)0.83*0.68 to 0.91
[EMPTY_CELL]0 (0 to 3,710)50 (0 to 3,197)0.80*0.63 to 0.90
[EMPTY_CELL]653 (284 to 1,607)737 (209 to 1,589)0.88*0.77 to 0.94
[EMPTY_CELL]580 (53 to 1,481)245 (90 to 1,406)0.60*0.33 to 0.79
[EMPTY_CELL]657 (195 to 1,718)678 (111 to 1,832)0.73*0.52 to 0.86
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]5,760 (3,360 to 6,890)5,600 (3,715 to 7,540)0.89*0.79 to 0.95
[EMPTY_CELL]1,080 (0 to 4,440)600 (0 to 4,680)0.88*0.77 to 0.94
[EMPTY_CELL]0 (0 to 341)0 (0 to 438)0.48*0.17 to 0.70
[EMPTY_CELL]900 (420 to 1,815)840 (240 to 1,635)0.77*0.59 to 0.88
[EMPTY_CELL]1,350 (775 to 1,795)1,410 (480 to 2,635)0.87*0.76 to 0.93
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"First assessment\", \"bbox\": [158, 4, 217, 12]}, {\"cell\": \"Second assessment\", \"bbox\": [250, 4, 319, 12]}, {\"cell\": \"ICC\", \"bbox\": [342, 4, 355, 12]}, {\"cell\": \"95% confidence interval\", \"bbox\": [381, 4, 467, 12]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 114, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 29, 77, 39]}, {\"cell\": \"3,849 (1,470 to 8,132)\", \"bbox\": [158, 29, 229, 39]}, {\"cell\": \"4,349 (2,120 to 7,508)\", \"bbox\": [250, 29, 321, 39]}, {\"cell\": \"0.83*\", \"bbox\": [342, 29, 360, 39]}, {\"cell\": \"0.68 to 0.91\", \"bbox\": [381, 29, 420, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 41, 78, 51]}, {\"cell\": \"0 (0 to 3,710)\", \"bbox\": [158, 41, 203, 51]}, {\"cell\": \"50 (0 to 3,197)\", \"bbox\": [250, 41, 299, 51]}, {\"cell\": \"0.80*\", \"bbox\": [342, 41, 360, 51]}, {\"cell\": \"0.63 to 0.90\", \"bbox\": [381, 41, 420, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 53, 92, 63]}, {\"cell\": \"653 (284 to 1,607)\", \"bbox\": [158, 53, 218, 63]}, {\"cell\": \"737 (209 to 1,589)\", \"bbox\": [250, 53, 310, 63]}, {\"cell\": \"0.88*\", \"bbox\": [342, 53, 360, 63]}, {\"cell\": \"0.77 to 0.94\", \"bbox\": [381, 53, 420, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 65, 136, 75]}, {\"cell\": \"580 (53 to 1,481)\", \"bbox\": [158, 65, 215, 75]}, {\"cell\": \"245 (90 to 1,406)\", \"bbox\": [250, 65, 306, 75]}, {\"cell\": \"0.60*\", \"bbox\": [342, 65, 360, 75]}, {\"cell\": \"0.33 to 0.79\", \"bbox\": [381, 65, 420, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 77, 101, 86]}, {\"cell\": \"657 (195 to 1,718)\", \"bbox\": [158, 77, 218, 86]}, {\"cell\": \"678 (111 to 1,832)\", \"bbox\": [250, 77, 310, 86]}, {\"cell\": \"0.73*\", \"bbox\": [342, 77, 360, 86]}, {\"cell\": \"0.52 to 0.86\", \"bbox\": [381, 77, 420, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 89, 58, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 99, 80, 110]}, {\"cell\": \"5,760 (3,360 to 6,890)\", \"bbox\": [158, 101, 229, 110]}, {\"cell\": \"5,600 (3,715 to 7,540)\", \"bbox\": [250, 101, 321, 110]}, {\"cell\": \"0.89*\", \"bbox\": [342, 101, 360, 110]}, {\"cell\": \"0.79 to 0.95\", \"bbox\": [381, 101, 420, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 113, 116, 122]}, {\"cell\": \"1,080 (0 to 4,440)\", \"bbox\": [158, 113, 216, 122]}, {\"cell\": \"600 (0 to 4,680)\", \"bbox\": [250, 113, 303, 122]}, {\"cell\": \"0.88*\", \"bbox\": [342, 113, 360, 122]}, {\"cell\": \"0.77 to 0.94\", \"bbox\": [381, 113, 420, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 125, 100, 134]}, {\"cell\": \"0 (0 to 341)\", \"bbox\": [158, 125, 198, 134]}, {\"cell\": \"0 (0 to 438)\", \"bbox\": [250, 125, 290, 134]}, {\"cell\": \"0.48*\", \"bbox\": [342, 125, 360, 134]}, {\"cell\": \"0.17 to 0.70\", \"bbox\": [381, 125, 420, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 137, 96, 146]}, {\"cell\": \"900 (420 to 1,815)\", \"bbox\": [158, 137, 218, 146]}, {\"cell\": \"840 (240 to 1,635)\", \"bbox\": [250, 137, 310, 146]}, {\"cell\": \"0.77*\", \"bbox\": [342, 137, 360, 146]}, {\"cell\": \"0.59 to 0.88\", \"bbox\": [381, 137, 420, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 149, 137, 158]}, {\"cell\": \"1,350 (775 to 1,795)\", \"bbox\": [158, 149, 224, 158]}, {\"cell\": \"1,410 (480 to 2,635)\", \"bbox\": [250, 149, 315, 158]}, {\"cell\": \"0.87*\", \"bbox\": [342, 149, 360, 158]}, {\"cell\": \"0.76 to 0.93\", \"bbox\": [381, 149, 420, 158]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3978664_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
ParameterGroupBrain region
CortexCerebellumSubcortical structures
Total lipids (TL, mg/g wet weight)[EMPTY_CELL]60.5 ± 9.659.6 ± 3.770.5 ± 10.0
RS[EMPTY_CELL]47.6 ± 5.747.4 ± 5.9*
ELF-EMF[EMPTY_CELL]71.4 ± 10.3&59.3 ± 4.7*
RS + ELF-EMF[EMPTY_CELL]55.6 ± 10.233.6 ± 5.6$,#
Total cholesterol (TC, μg/mg TL)[EMPTY_CELL]159.7 ± 1.0188.3 ± 27.599.0 ± 18.6
RS[EMPTY_CELL]182.0 ± 25.4101.8 ± 13.3
ELF-EMF[EMPTY_CELL]148.5 ± 42.7144.3 ± 35.0
RS + ELF-EMF[EMPTY_CELL]173.0 ± 34.4194.3 ± 67.6*,&
Polar lipids (POL, μg/mg TL)[EMPTY_CELL]753.5 ± 10.4763.6 ± 73.6831.2 ± 23.7
RS[EMPTY_CELL]714.0 ± 39.4839.5 ± 14.2
ELF-EMF[EMPTY_CELL]771.7 ± 56.6786.9 ± 50.8
RS + ELF-EMF[EMPTY_CELL]731.7 ± 48.2729.4 ± 74.5*,&
NEFAs (μg/mg TL)[EMPTY_CELL]10.6 ± 1.916.5 ± 7.67.6 ± 2.2
RS[EMPTY_CELL]25.8 ± 9.49.5 ± 3.2
ELF-EMF[EMPTY_CELL]15.1 ± 3.810.4 ± 2.5
RS + ELF-EMF[EMPTY_CELL]15.0 ± 6.315.7 ± 4.3*,#
\", \"cells\": [{\"cell\": \"Parameter\", \"bbox\": [1, 4, 38, 14]}, {\"cell\": \"Group\", \"bbox\": [149, 4, 173, 14]}, {\"cell\": \"Brain region\", \"bbox\": [234, 4, 278, 14]}, {\"cell\": \"Cortex\", \"bbox\": [234, 20, 259, 30]}, {\"cell\": \"Cerebellum\", \"bbox\": [321, 20, 363, 30]}, {\"cell\": \"Subcortical structures\", \"bbox\": [403, 20, 480, 30]}, {\"cell\": \"Total lipids (TL, mg/g wet weight)\", \"bbox\": [1, 38, 109, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [149, 38, 156, 48]}, {\"cell\": \"60.5 ± 9.6\", \"bbox\": [239, 38, 272, 48]}, {\"cell\": \"59.6 ± 3.7\", \"bbox\": [326, 38, 359, 48]}, {\"cell\": \"70.5 ± 10.0\", \"bbox\": [408, 38, 444, 48]}, {\"cell\": \"RS\", \"bbox\": [149, 50, 159, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [239, 50, 278, 60]}, {\"cell\": \"47.6 ± 5.7\", \"bbox\": [326, 50, 359, 60]}, {\"cell\": \"47.4 ± 5.9*\", \"bbox\": [408, 50, 444, 60]}, {\"cell\": \"ELF-EMF\", \"bbox\": [149, 62, 178, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [239, 62, 272, 72]}, {\"cell\": \"71.4 ± 10.3&\", \"bbox\": [326, 61, 366, 72]}, {\"cell\": \"59.3 ± 4.7*\", \"bbox\": [408, 62, 444, 72]}, {\"cell\": \"RS + ELF-EMF\", \"bbox\": [149, 74, 194, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [239, 74, 278, 84]}, {\"cell\": \"55.6 ± 10.2\", \"bbox\": [326, 74, 363, 84]}, {\"cell\": \"33.6 ± 5.6$,#\", \"bbox\": [408, 73, 447, 84]}, {\"cell\": \"Total cholesterol (TC, μg/mg TL)\", \"bbox\": [1, 86, 103, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [149, 86, 156, 96]}, {\"cell\": \"159.7 ± 1.0\", \"bbox\": [235, 86, 272, 96]}, {\"cell\": \"188.3 ± 27.5\", \"bbox\": [322, 86, 363, 96]}, {\"cell\": \"99.0 ± 18.6\", \"bbox\": [408, 86, 444, 96]}, {\"cell\": \"RS\", \"bbox\": [149, 99, 159, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 99, 272, 108]}, {\"cell\": \"182.0 ± 25.4\", \"bbox\": [322, 99, 363, 108]}, {\"cell\": \"101.8 ± 13.3\", \"bbox\": [404, 99, 444, 108]}, {\"cell\": \"ELF-EMF\", \"bbox\": [149, 111, 178, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 109, 283, 120]}, {\"cell\": \"148.5 ± 42.7\", \"bbox\": [322, 111, 363, 120]}, {\"cell\": \"144.3 ± 35.0\", \"bbox\": [404, 111, 444, 120]}, {\"cell\": \"RS + ELF-EMF\", \"bbox\": [149, 123, 194, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 121, 283, 132]}, {\"cell\": \"173.0 ± 34.4\", \"bbox\": [322, 123, 363, 132]}, {\"cell\": \"194.3 ± 67.6*,&\", \"bbox\": [404, 121, 452, 132]}, {\"cell\": \"Polar lipids (POL, μg/mg TL)\", \"bbox\": [1, 135, 90, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [149, 135, 156, 144]}, {\"cell\": \"753.5 ± 10.4\", \"bbox\": [235, 135, 275, 144]}, {\"cell\": \"763.6 ± 73.6\", \"bbox\": [322, 135, 363, 144]}, {\"cell\": \"831.2 ± 23.7\", \"bbox\": [404, 135, 444, 144]}, {\"cell\": \"RS\", \"bbox\": [149, 147, 159, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 147, 275, 156]}, {\"cell\": \"714.0 ± 39.4\", \"bbox\": [322, 147, 363, 156]}, {\"cell\": \"839.5 ± 14.2\", \"bbox\": [404, 147, 444, 156]}, {\"cell\": \"ELF-EMF\", \"bbox\": [149, 159, 178, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 159, 279, 169]}, {\"cell\": \"771.7 ± 56.6\", \"bbox\": [322, 159, 363, 169]}, {\"cell\": \"786.9 ± 50.8\", \"bbox\": [404, 159, 444, 169]}, {\"cell\": \"RS + ELF-EMF\", \"bbox\": [149, 171, 194, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 171, 279, 181]}, {\"cell\": \"731.7 ± 48.2\", \"bbox\": [322, 171, 363, 181]}, {\"cell\": \"729.4 ± 74.5*,&\", \"bbox\": [404, 170, 452, 181]}, {\"cell\": \"NEFAs (μg/mg TL)\", \"bbox\": [1, 183, 59, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [149, 183, 156, 193]}, {\"cell\": \"10.6 ± 1.9\", \"bbox\": [239, 183, 272, 193]}, {\"cell\": \"16.5 ± 7.6\", \"bbox\": [326, 183, 359, 193]}, {\"cell\": \"7.6 ± 2.2\", \"bbox\": [412, 183, 440, 193]}, {\"cell\": \"RS\", \"bbox\": [149, 195, 159, 205]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [243, 195, 272, 205]}, {\"cell\": \"25.8 ± 9.4\", \"bbox\": [326, 195, 359, 205]}, {\"cell\": \"9.5 ± 3.2\", \"bbox\": [412, 195, 440, 205]}, {\"cell\": \"ELF-EMF\", \"bbox\": [149, 207, 178, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [243, 207, 272, 217]}, {\"cell\": \"15.1 ± 3.8\", \"bbox\": [326, 207, 359, 217]}, {\"cell\": \"10.4 ± 2.5\", \"bbox\": [408, 207, 440, 217]}, {\"cell\": \"RS + ELF-EMF\", \"bbox\": [149, 220, 194, 229]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [243, 220, 272, 229]}, {\"cell\": \"15.0 ± 6.3\", \"bbox\": [326, 220, 359, 229]}, {\"cell\": \"15.7 ± 4.3*,#\", \"bbox\": [408, 218, 447, 229]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5963128_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Experimental methodsApplication procedureAuthors
InoculumBacteriaNutrientsEvaluation procedures[EMPTY_CELL]
Culture in exponential phase: 107–109 cells/ml[EMPTY_CELL]Spraying (5 times)Water absorption, SEM analysis, surface roughness, colorimetery and plate countCalcite bioconcept Le Metayer-Levrel et al., 1999
Overnight culture 106 cells cm−2[EMPTY_CELL]Wetting every day for 15 daysWater absorption, colorimeteric measurements, stone cohesionTiano et al., 1999
2% inoculums[EMPTY_CELL][EMPTY_CELL]Stone cohesion, weight increase, XRD and SEM analysis, porosimetery analysisRodriguez-Navarro et al., 2003
1% inoculums[EMPTY_CELL][EMPTY_CELL]Water absorption, SEM analysisDick et al., 2006
108 cells ml−1[EMPTY_CELL]In CarbogelWater absorption and drying due to evaporationMay, 2005
n.d.*[EMPTY_CELL]Immersion in test solution or spraying (in situ) testsWater absorption, colorimeteric measurements, stone cohesion, staining of newly formed calcite with Alizarin Red S and CalceinTiano et al., 2006
Overnight culture 107 – 109 cells ml−1[EMPTY_CELL]Immersion for 4 daysWeight increase, water absorption, gas permeability, chloride migration, carbonation, freezing and thawing, SEM and XRD analysisDe Muynck et al., 2008a
\", \"cells\": [{\"cell\": \"Experimental methods\", \"bbox\": [1, 6, 83, 15]}, {\"cell\": \"Application procedure\", \"bbox\": [226, 6, 307, 15]}, {\"cell\": \"Authors\", \"bbox\": [445, 6, 476, 15]}, {\"cell\": \"Inoculum\", \"bbox\": [1, 23, 36, 32]}, {\"cell\": \"Bacteria\", \"bbox\": [97, 23, 128, 32]}, {\"cell\": \"Nutrients\", \"bbox\": [223, 23, 258, 32]}, {\"cell\": \"Evaluation procedures\", \"bbox\": [320, 23, 401, 32]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Culture in exponential phase: 107–109 cells/ml\", \"bbox\": [1, 43, 81, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [98, 43, 128, 51]}, {\"cell\": \"Spraying (5 times)\", \"bbox\": [223, 43, 285, 51]}, {\"cell\": \"Water absorption, SEM analysis, surface roughness, colorimetery and plate count\", \"bbox\": [320, 43, 430, 72]}, {\"cell\": \"Calcite bioconcept Le Metayer-Levrel et al., 1999\", \"bbox\": [445, 43, 508, 72]}, {\"cell\": \"Overnight culture 106 cells cm−2\", \"bbox\": [1, 79, 73, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [98, 81, 194, 100]}, {\"cell\": \"Wetting every day for 15 days\", \"bbox\": [223, 81, 306, 100]}, {\"cell\": \"Water absorption, colorimeteric measurements, stone cohesion\", \"bbox\": [320, 81, 427, 100]}, {\"cell\": \"Tiano et al., 1999\", \"bbox\": [445, 81, 504, 90]}, {\"cell\": \"2% inoculums\", \"bbox\": [1, 109, 50, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [97, 109, 202, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Stone cohesion, weight increase, XRD and SEM analysis, porosimetery analysis\", \"bbox\": [320, 109, 433, 138]}, {\"cell\": \"Rodriguez-Navarro et al., 2003\", \"bbox\": [445, 109, 508, 128]}, {\"cell\": \"1% inoculums\", \"bbox\": [1, 147, 50, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [97, 147, 209, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Water absorption, SEM analysis\", \"bbox\": [320, 147, 428, 156]}, {\"cell\": \"Dick et al., 2006\", \"bbox\": [445, 147, 501, 156]}, {\"cell\": \"108 cells ml−1\", \"bbox\": [1, 184, 49, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [98, 185, 128, 194]}, {\"cell\": \"In Carbogel\", \"bbox\": [223, 185, 263, 194]}, {\"cell\": \"Water absorption and drying due to evaporation\", \"bbox\": [320, 185, 431, 204]}, {\"cell\": \"May, 2005\", \"bbox\": [445, 185, 483, 194]}, {\"cell\": \"n.d.*\", \"bbox\": [1, 211, 19, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [98, 211, 116, 222]}, {\"cell\": \"Immersion in test solution or spraying (in situ) tests\", \"bbox\": [223, 213, 300, 243]}, {\"cell\": \"Water absorption, colorimeteric measurements, stone cohesion, staining of newly formed calcite with Alizarin Red S and Calcein\", \"bbox\": [320, 213, 429, 253]}, {\"cell\": \"Tiano et al., 2006\", \"bbox\": [445, 213, 504, 222]}, {\"cell\": \"Overnight culture 107 – 109 cells ml−1\", \"bbox\": [1, 260, 79, 281]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [98, 262, 166, 271]}, {\"cell\": \"Immersion for 4 days\", \"bbox\": [223, 262, 295, 271]}, {\"cell\": \"Weight increase, water absorption, gas permeability, chloride migration, carbonation, freezing and thawing, SEM and XRD analysis\", \"bbox\": [320, 262, 426, 312]}, {\"cell\": \"De Muynck et al., 2008a\", \"bbox\": [445, 262, 505, 281]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4071612_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Ang-2VEGFHGFbFGFG-CSFGM-CSF
SVF-derived MSCs1,642 ± 1,157329 ± 6912,602 ± 1,49221 ± 3[EMPTY_CELL]3.2 ± 1.2
PB-positive selected monocytes[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Condition 1200 ± 3540 ± 57 ± 112 ± 5[EMPTY_CELL]1.9 ± 0.2
Condition 2186 ± 7852 ± 2520 ± 1912 ± 2[EMPTY_CELL]15 ± 4
Condition 3278 ± 1848 ± 15137 ± 3525 ± 2[EMPTY_CELL]5 ± 2
Co-cultured with MSCs26 ± 9*210 ± 49155 ± 71*34 ± 4[EMPTY_CELL]957 ± 552*
PB-untouched monocytes[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Condition 1229 ± 3646 ± 369 ± 111 ± 2[EMPTY_CELL]1.5 ± 0.7
Condition 2215 ± 14254 ± 4328 ± 2316 ± 6[EMPTY_CELL]18 ± 8
Condition 3216 ± 25†61 ± 16163 ± 7518 ± 3[EMPTY_CELL]4.3 ± 1.7
Co-cultured with MSCs25 ± 9*197 ± 96134 ± 47*27 ± 5†[EMPTY_CELL]878 ± 514*
SVF CD14+ cells[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Condition 2220 ± 123*1,733 ± 193*18 ± 8*580 ± 199*[EMPTY_CELL]4,017 ± 791*
Condition 3176 ± 96*‡916 ± 164*†13 ± 4*‡341 ± 121*†‡[EMPTY_CELL]1,782 ± 1,001*†
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ang-2\", \"bbox\": [139, 4, 162, 13]}, {\"cell\": \"VEGF\", \"bbox\": [199, 4, 219, 13]}, {\"cell\": \"HGF\", \"bbox\": [262, 4, 278, 13]}, {\"cell\": \"bFGF\", \"bbox\": [321, 4, 341, 13]}, {\"cell\": \"G-CSF\", \"bbox\": [382, 4, 405, 13]}, {\"cell\": \"GM-CSF\", \"bbox\": [445, 4, 474, 13]}, {\"cell\": \"SVF-derived MSCs\", \"bbox\": [1, 17, 65, 27]}, {\"cell\": \"1,642 ± 1,157\", \"bbox\": [129, 17, 172, 26]}, {\"cell\": \"329 ± 69\", \"bbox\": [195, 17, 224, 26]}, {\"cell\": \"12,602 ± 1,492\", \"bbox\": [247, 17, 294, 26]}, {\"cell\": \"21 ± 3\", \"bbox\": [320, 17, 342, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [381, 17, 406, 26]}, {\"cell\": \"3.2 ± 1.2\", \"bbox\": [446, 17, 474, 26]}, {\"cell\": \"PB-positive selected monocytes\", \"bbox\": [1, 31, 112, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Condition 1\", \"bbox\": [1, 45, 40, 54]}, {\"cell\": \"200 ± 35\", \"bbox\": [136, 45, 165, 54]}, {\"cell\": \"40 ± 5\", \"bbox\": [199, 45, 220, 54]}, {\"cell\": \"7 ± 1\", \"bbox\": [261, 45, 279, 54]}, {\"cell\": \"12 ± 5\", \"bbox\": [320, 45, 342, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [380, 45, 408, 54]}, {\"cell\": \"1.9 ± 0.2\", \"bbox\": [446, 45, 474, 54]}, {\"cell\": \"Condition 2\", \"bbox\": [1, 59, 40, 68]}, {\"cell\": \"186 ± 78\", \"bbox\": [136, 59, 165, 68]}, {\"cell\": \"52 ± 25\", \"bbox\": [197, 59, 222, 68]}, {\"cell\": \"20 ± 19\", \"bbox\": [257, 59, 283, 68]}, {\"cell\": \"12 ± 2\", \"bbox\": [320, 59, 342, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [380, 59, 408, 68]}, {\"cell\": \"15 ± 4\", \"bbox\": [449, 59, 471, 68]}, {\"cell\": \"Condition 3\", \"bbox\": [1, 73, 40, 82]}, {\"cell\": \"278 ± 18\", \"bbox\": [136, 73, 165, 82]}, {\"cell\": \"48 ± 15\", \"bbox\": [197, 73, 222, 82]}, {\"cell\": \"137 ± 35\", \"bbox\": [256, 73, 285, 82]}, {\"cell\": \"25 ± 2\", \"bbox\": [320, 73, 342, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [380, 73, 408, 82]}, {\"cell\": \"5 ± 2\", \"bbox\": [451, 73, 469, 82]}, {\"cell\": \"Co-cultured with MSCs\", \"bbox\": [1, 87, 76, 96]}, {\"cell\": \"26 ± 9*\", \"bbox\": [138, 87, 163, 96]}, {\"cell\": \"210 ± 49\", \"bbox\": [195, 87, 224, 96]}, {\"cell\": \"155 ± 71*\", \"bbox\": [254, 87, 286, 96]}, {\"cell\": \"34 ± 4\", \"bbox\": [320, 87, 342, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [371, 87, 417, 96]}, {\"cell\": \"957 ± 552*\", \"bbox\": [442, 87, 478, 96]}, {\"cell\": \"PB-untouched monocytes\", \"bbox\": [1, 101, 92, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Condition 1\", \"bbox\": [1, 115, 40, 124]}, {\"cell\": \"229 ± 36\", \"bbox\": [136, 115, 165, 124]}, {\"cell\": \"46 ± 36\", \"bbox\": [197, 115, 222, 124]}, {\"cell\": \"9 ± 1\", \"bbox\": [261, 115, 279, 124]}, {\"cell\": \"11 ± 2\", \"bbox\": [320, 115, 342, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [380, 115, 408, 124]}, {\"cell\": \"1.5 ± 0.7\", \"bbox\": [446, 115, 474, 124]}, {\"cell\": \"Condition 2\", \"bbox\": [1, 129, 40, 138]}, {\"cell\": \"215 ± 142\", \"bbox\": [134, 129, 167, 138]}, {\"cell\": \"54 ± 43\", \"bbox\": [197, 129, 222, 138]}, {\"cell\": \"28 ± 23\", \"bbox\": [257, 129, 283, 138]}, {\"cell\": \"16 ± 6\", \"bbox\": [320, 129, 342, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [381, 128, 406, 138]}, {\"cell\": \"18 ± 8\", \"bbox\": [449, 129, 471, 138]}, {\"cell\": \"Condition 3\", \"bbox\": [1, 143, 40, 152]}, {\"cell\": \"216 ± 25†\", \"bbox\": [135, 142, 166, 152]}, {\"cell\": \"61 ± 16\", \"bbox\": [197, 143, 222, 152]}, {\"cell\": \"163 ± 75\", \"bbox\": [256, 143, 285, 152]}, {\"cell\": \"18 ± 3\", \"bbox\": [320, 143, 342, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [380, 143, 408, 152]}, {\"cell\": \"4.3 ± 1.7\", \"bbox\": [446, 143, 474, 152]}, {\"cell\": \"Co-cultured with MSCs\", \"bbox\": [1, 157, 76, 166]}, {\"cell\": \"25 ± 9*\", \"bbox\": [138, 157, 163, 166]}, {\"cell\": \"197 ± 96\", \"bbox\": [195, 157, 224, 166]}, {\"cell\": \"134 ± 47*\", \"bbox\": [254, 157, 286, 166]}, {\"cell\": \"27 ± 5†\", \"bbox\": [319, 156, 343, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [371, 157, 417, 166]}, {\"cell\": \"878 ± 514*\", \"bbox\": [442, 157, 478, 166]}, {\"cell\": \"SVF CD14+ cells\", \"bbox\": [1, 169, 57, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Condition 2\", \"bbox\": [1, 185, 40, 194]}, {\"cell\": \"220 ± 123*\", \"bbox\": [133, 185, 169, 194]}, {\"cell\": \"1,733 ± 193*\", \"bbox\": [189, 185, 230, 194]}, {\"cell\": \"18 ± 8*\", \"bbox\": [258, 185, 282, 194]}, {\"cell\": \"580 ± 199*\", \"bbox\": [313, 185, 349, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [369, 185, 419, 194]}, {\"cell\": \"4,017 ± 791*\", \"bbox\": [439, 185, 480, 194]}, {\"cell\": \"Condition 3\", \"bbox\": [1, 199, 40, 208]}, {\"cell\": \"176 ± 96*‡\", \"bbox\": [133, 198, 168, 208]}, {\"cell\": \"916 ± 164*†\", \"bbox\": [190, 198, 229, 208]}, {\"cell\": \"13 ± 4*‡\", \"bbox\": [256, 198, 284, 208]}, {\"cell\": \"341 ± 121*†‡\", \"bbox\": [310, 198, 352, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [369, 198, 418, 208]}, {\"cell\": \"1,782 ± 1,001*†\", \"bbox\": [435, 198, 484, 208]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4055093_009_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Different speciesThroat swabSputumChest tubeBALPusUrineStoolBloodTotal No(%)
Aeromonas hydrophila-[EMPTY_CELL]--1---1(1.6)
Alcaligenes xylosoxidans-[EMPTY_CELL]--11--2(3.2)
Bordetella bronchiseptica-[EMPTY_CELL]------1(1.6)
Burkholderia cepacia1[EMPTY_CELL]-12---6(9.5)
CDC gp IV C-2-[EMPTY_CELL]--1--12(3.2)
Cedecea lapagei-[EMPTY_CELL]--[EMPTY_CELL]--11(1.6)
Chryseobacterium indologenes[EMPTY_CELL][EMPTY_CELL]------1(1.6)
Chryseobacterium meningosepticum-[EMPTY_CELL]1-1-1-3(4.8)
Chromobacterium violacum1[EMPTY_CELL]--41--7(11.1)
Hafnia alvei-[EMPTY_CELL]--1-1-2(3.2)
Kluyvera ascorbata-[EMPTY_CELL]----3-5(7.9)
Morganella morgani-[EMPTY_CELL]---1--3(4.8)
Proteus mirabilis-[EMPTY_CELL]--1---1(1.6)
Proteus penneri-[EMPTY_CELL]-----22(3.2)
Proteus vulgaris-[EMPTY_CELL]--1---1(1.6)
Providencia rettgeri-[EMPTY_CELL]---1--1(1.6)
Providencia stuarti-[EMPTY_CELL]--1---1(1.6)
Salmonella arizona-[EMPTY_CELL]----213(4.8)
Salmonella choleraesuis-[EMPTY_CELL]----1-1(1.6)
Salmonella Paratyphi A-[EMPTY_CELL]----1-1(1.6)
Shigella species-[EMPTY_CELL]----4-4(6.4)
Stenotrophomonas maltophilia1[EMPTY_CELL]1-----5(7.9)
Vibrio alginolyticus-[EMPTY_CELL]------1(1.6)
Vibrio fluvialis-[EMPTY_CELL]1-----1(1.6)
Yersinia enterocolitica-[EMPTY_CELL]-----12(3.2)
Yersinia pseudotuberculosis-[EMPTY_CELL]1----23(4.8)
Yersinia ruckeri-[EMPTY_CELL]---1--1(1.6)
Yokenella regensburgei-[EMPTY_CELL]--1---1(1.6)
Total No(%)3(4.8)[EMPTY_CELL]4(6.4)1(1.6)15(23.8)5(7.9)13(20.6)8(12.7)63(100)
\", \"cells\": [{\"cell\": \"Different species\", \"bbox\": [40, 5, 101, 13]}, {\"cell\": \"Throat swab\", \"bbox\": [144, 5, 191, 13]}, {\"cell\": \"Sputum\", \"bbox\": [200, 5, 230, 13]}, {\"cell\": \"Chest tube\", \"bbox\": [239, 5, 280, 13]}, {\"cell\": \"BAL\", \"bbox\": [290, 5, 307, 13]}, {\"cell\": \"Pus\", \"bbox\": [323, 5, 337, 13]}, {\"cell\": \"Urine\", \"bbox\": [352, 5, 374, 13]}, {\"cell\": \"Stool\", \"bbox\": [385, 5, 406, 13]}, {\"cell\": \"Blood\", \"bbox\": [418, 5, 441, 13]}, {\"cell\": \"Total No(%)\", \"bbox\": [450, 5, 495, 13]}, {\"cell\": \"Aeromonas hydrophila\", \"bbox\": [32, 26, 108, 35]}, {\"cell\": \"-\", \"bbox\": [165, 26, 170, 35]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 26, 217, 35]}, {\"cell\": \"-\", \"bbox\": [257, 26, 262, 35]}, {\"cell\": \"-\", \"bbox\": [296, 26, 301, 35]}, {\"cell\": \"1\", \"bbox\": [327, 26, 333, 35]}, {\"cell\": \"-\", \"bbox\": [361, 26, 365, 35]}, {\"cell\": \"-\", \"bbox\": [394, 26, 398, 35]}, {\"cell\": \"-\", \"bbox\": [427, 26, 432, 35]}, {\"cell\": \"1(1.6)\", \"bbox\": [463, 26, 483, 35]}, {\"cell\": \"Alcaligenes xylosoxidans\", \"bbox\": [29, 48, 112, 56]}, {\"cell\": \"-\", \"bbox\": [165, 47, 170, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 47, 217, 56]}, {\"cell\": \"-\", \"bbox\": [257, 47, 262, 56]}, {\"cell\": \"-\", \"bbox\": [296, 47, 301, 56]}, {\"cell\": \"1\", \"bbox\": [327, 47, 333, 56]}, {\"cell\": \"1\", \"bbox\": [360, 47, 366, 56]}, {\"cell\": \"-\", \"bbox\": [394, 47, 398, 56]}, {\"cell\": \"-\", \"bbox\": [427, 47, 432, 56]}, {\"cell\": \"2(3.2)\", \"bbox\": [463, 47, 483, 56]}, {\"cell\": \"Bordetella bronchiseptica\", \"bbox\": [27, 69, 113, 78]}, {\"cell\": \"-\", \"bbox\": [165, 69, 170, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 69, 218, 78]}, {\"cell\": \"-\", \"bbox\": [257, 69, 262, 78]}, {\"cell\": \"-\", \"bbox\": [296, 69, 301, 78]}, {\"cell\": \"-\", \"bbox\": [328, 69, 332, 78]}, {\"cell\": \"-\", \"bbox\": [361, 69, 365, 78]}, {\"cell\": \"-\", \"bbox\": [394, 69, 398, 78]}, {\"cell\": \"-\", \"bbox\": [427, 69, 432, 78]}, {\"cell\": \"1(1.6)\", \"bbox\": [463, 69, 483, 78]}, {\"cell\": \"Burkholderia cepacia\", \"bbox\": [34, 91, 106, 99]}, {\"cell\": \"1\", \"bbox\": [165, 91, 170, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 91, 218, 99]}, {\"cell\": \"-\", \"bbox\": [257, 91, 262, 99]}, {\"cell\": \"1\", \"bbox\": [295, 91, 301, 99]}, {\"cell\": \"2\", \"bbox\": [327, 91, 333, 99]}, {\"cell\": \"-\", \"bbox\": [361, 91, 365, 99]}, {\"cell\": \"-\", \"bbox\": [394, 91, 398, 99]}, {\"cell\": \"-\", \"bbox\": [427, 91, 432, 99]}, {\"cell\": \"6(9.5)\", \"bbox\": [463, 91, 483, 99]}, {\"cell\": \"CDC gp IV C-2\", \"bbox\": [45, 112, 95, 121]}, {\"cell\": \"-\", \"bbox\": [165, 112, 170, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 112, 217, 121]}, {\"cell\": \"-\", \"bbox\": [257, 112, 262, 121]}, {\"cell\": \"-\", \"bbox\": [296, 112, 301, 121]}, {\"cell\": \"1\", \"bbox\": [327, 112, 333, 121]}, {\"cell\": \"-\", \"bbox\": [361, 112, 365, 121]}, {\"cell\": \"-\", \"bbox\": [394, 112, 398, 121]}, {\"cell\": \"1\", \"bbox\": [427, 112, 432, 121]}, {\"cell\": \"2(3.2)\", \"bbox\": [463, 112, 483, 121]}, {\"cell\": \"Cedecea lapagei\", \"bbox\": [42, 134, 99, 142]}, {\"cell\": \"-\", \"bbox\": [165, 134, 170, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 134, 217, 142]}, {\"cell\": \"-\", \"bbox\": [257, 134, 262, 142]}, {\"cell\": \"-\", \"bbox\": [296, 134, 301, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"-\", \"bbox\": [361, 134, 365, 142]}, {\"cell\": \"-\", \"bbox\": [394, 134, 398, 142]}, {\"cell\": \"1\", \"bbox\": [427, 134, 432, 142]}, {\"cell\": \"1(1.6)\", \"bbox\": [463, 134, 483, 142]}, {\"cell\": \"Chryseobacterium indologenes\", \"bbox\": [19, 155, 122, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 155, 218, 164]}, {\"cell\": \"-\", \"bbox\": [257, 155, 262, 164]}, {\"cell\": \"-\", \"bbox\": [296, 155, 301, 164]}, {\"cell\": \"-\", \"bbox\": [328, 155, 332, 164]}, {\"cell\": \"-\", \"bbox\": [361, 155, 365, 164]}, {\"cell\": \"-\", \"bbox\": [394, 155, 398, 164]}, {\"cell\": \"-\", \"bbox\": [427, 155, 432, 164]}, {\"cell\": \"1(1.6)\", \"bbox\": [463, 155, 483, 164]}, {\"cell\": \"Chryseobacterium meningosepticum\", \"bbox\": [10, 177, 131, 185]}, {\"cell\": \"-\", \"bbox\": [165, 176, 170, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 176, 217, 185]}, {\"cell\": \"1\", \"bbox\": [257, 176, 262, 185]}, {\"cell\": \"-\", \"bbox\": [296, 176, 301, 185]}, {\"cell\": \"1\", \"bbox\": [327, 176, 333, 185]}, {\"cell\": \"-\", \"bbox\": [361, 176, 365, 185]}, {\"cell\": \"1\", \"bbox\": [393, 176, 399, 185]}, {\"cell\": \"-\", \"bbox\": [427, 176, 432, 185]}, {\"cell\": \"3(4.8)\", \"bbox\": [463, 176, 483, 185]}, {\"cell\": \"Chromobacterium violacum\", \"bbox\": [24, 198, 117, 207]}, {\"cell\": \"1\", \"bbox\": [165, 198, 170, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 198, 218, 207]}, {\"cell\": \"-\", \"bbox\": [257, 198, 262, 207]}, {\"cell\": \"-\", \"bbox\": [296, 198, 301, 207]}, {\"cell\": \"4\", \"bbox\": [327, 198, 333, 207]}, {\"cell\": \"1\", \"bbox\": [360, 198, 366, 207]}, {\"cell\": \"-\", \"bbox\": [394, 198, 398, 207]}, {\"cell\": \"-\", \"bbox\": [427, 198, 432, 207]}, {\"cell\": \"7(11.1)\", \"bbox\": [461, 198, 485, 207]}, {\"cell\": \"Hafnia alvei\", \"bbox\": [49, 220, 91, 228]}, {\"cell\": \"-\", \"bbox\": [165, 220, 170, 228]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 220, 217, 228]}, {\"cell\": \"-\", \"bbox\": [257, 220, 262, 228]}, {\"cell\": \"-\", \"bbox\": [296, 220, 301, 228]}, {\"cell\": \"1\", \"bbox\": [327, 220, 333, 228]}, {\"cell\": \"-\", \"bbox\": [361, 220, 365, 228]}, {\"cell\": \"1\", \"bbox\": [393, 220, 399, 228]}, {\"cell\": \"-\", \"bbox\": [427, 220, 432, 228]}, {\"cell\": \"2(3.2)\", \"bbox\": [463, 220, 483, 228]}, {\"cell\": \"Kluyvera ascorbata\", \"bbox\": [38, 241, 103, 250]}, {\"cell\": \"-\", \"bbox\": [165, 241, 170, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 241, 218, 250]}, {\"cell\": \"-\", \"bbox\": [257, 241, 262, 250]}, {\"cell\": \"-\", \"bbox\": [296, 241, 301, 250]}, {\"cell\": \"-\", \"bbox\": [328, 241, 332, 250]}, {\"cell\": \"-\", \"bbox\": [361, 241, 365, 250]}, {\"cell\": \"3\", \"bbox\": [393, 241, 399, 250]}, {\"cell\": \"-\", \"bbox\": [427, 241, 432, 250]}, {\"cell\": \"5(7.9)\", \"bbox\": [463, 241, 483, 250]}, {\"cell\": \"Morganella morgani\", \"bbox\": [36, 263, 105, 271]}, {\"cell\": \"-\", \"bbox\": [165, 263, 170, 271]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 263, 218, 271]}, {\"cell\": \"-\", \"bbox\": [257, 263, 262, 271]}, {\"cell\": \"-\", \"bbox\": [296, 263, 301, 271]}, {\"cell\": \"-\", \"bbox\": [328, 263, 332, 271]}, {\"cell\": \"1\", \"bbox\": [360, 263, 366, 271]}, {\"cell\": \"-\", \"bbox\": [394, 263, 398, 271]}, {\"cell\": \"-\", \"bbox\": [427, 263, 432, 271]}, {\"cell\": \"3(4.8)\", \"bbox\": [463, 263, 483, 271]}, {\"cell\": \"Proteus mirabilis\", \"bbox\": [42, 284, 99, 293]}, {\"cell\": \"-\", \"bbox\": [165, 284, 170, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 284, 217, 293]}, {\"cell\": \"-\", \"bbox\": [257, 284, 262, 293]}, {\"cell\": \"-\", \"bbox\": [296, 284, 301, 293]}, {\"cell\": \"1\", \"bbox\": [327, 284, 333, 293]}, {\"cell\": \"-\", \"bbox\": [361, 284, 365, 293]}, {\"cell\": \"-\", \"bbox\": [394, 284, 398, 293]}, {\"cell\": \"-\", \"bbox\": [427, 284, 432, 293]}, {\"cell\": \"1(1.6)\", \"bbox\": [463, 284, 483, 293]}, {\"cell\": \"Proteus penneri\", \"bbox\": [43, 306, 97, 314]}, {\"cell\": \"-\", \"bbox\": [165, 305, 170, 314]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 305, 217, 314]}, {\"cell\": \"-\", \"bbox\": [257, 305, 262, 314]}, {\"cell\": \"-\", \"bbox\": [296, 305, 301, 314]}, {\"cell\": \"-\", \"bbox\": [328, 305, 332, 314]}, {\"cell\": \"-\", \"bbox\": [361, 305, 365, 314]}, {\"cell\": \"-\", \"bbox\": [394, 305, 398, 314]}, {\"cell\": \"2\", \"bbox\": [427, 305, 432, 314]}, {\"cell\": \"2(3.2)\", \"bbox\": [463, 305, 483, 314]}, {\"cell\": \"Proteus vulgaris\", \"bbox\": [43, 327, 97, 336]}, {\"cell\": \"-\", \"bbox\": [165, 327, 170, 336]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 327, 217, 336]}, {\"cell\": \"-\", \"bbox\": [257, 327, 262, 336]}, {\"cell\": \"-\", \"bbox\": [296, 327, 301, 336]}, {\"cell\": \"1\", \"bbox\": [327, 327, 333, 336]}, {\"cell\": \"-\", \"bbox\": [361, 327, 365, 336]}, {\"cell\": \"-\", \"bbox\": [394, 327, 398, 336]}, {\"cell\": \"-\", \"bbox\": [427, 327, 432, 336]}, {\"cell\": \"1(1.6)\", \"bbox\": [463, 327, 483, 336]}, {\"cell\": \"Providencia rettgeri\", \"bbox\": [37, 349, 104, 357]}, {\"cell\": \"-\", \"bbox\": [165, 349, 170, 357]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 349, 217, 357]}, {\"cell\": \"-\", \"bbox\": [257, 349, 262, 357]}, {\"cell\": \"-\", \"bbox\": [296, 349, 301, 357]}, {\"cell\": \"-\", \"bbox\": [328, 349, 332, 357]}, {\"cell\": \"1\", \"bbox\": [360, 349, 366, 357]}, {\"cell\": \"-\", \"bbox\": [394, 349, 398, 357]}, {\"cell\": \"-\", \"bbox\": [427, 349, 432, 357]}, {\"cell\": \"1(1.6)\", \"bbox\": [463, 349, 483, 357]}, {\"cell\": \"Providencia stuarti\", \"bbox\": [38, 370, 102, 379]}, {\"cell\": \"-\", \"bbox\": [165, 370, 170, 379]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 370, 217, 379]}, {\"cell\": \"-\", \"bbox\": [257, 370, 262, 379]}, {\"cell\": \"-\", \"bbox\": [296, 370, 301, 379]}, {\"cell\": \"1\", \"bbox\": [327, 370, 333, 379]}, {\"cell\": \"-\", \"bbox\": [361, 370, 365, 379]}, {\"cell\": \"-\", \"bbox\": [394, 370, 398, 379]}, {\"cell\": \"-\", \"bbox\": [427, 370, 432, 379]}, {\"cell\": \"1(1.6)\", \"bbox\": [463, 370, 483, 379]}, {\"cell\": \"Salmonella arizona\", \"bbox\": [38, 392, 103, 400]}, {\"cell\": \"-\", \"bbox\": [165, 392, 170, 400]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 392, 217, 400]}, {\"cell\": \"-\", \"bbox\": [257, 392, 262, 400]}, {\"cell\": \"-\", \"bbox\": [296, 392, 301, 400]}, {\"cell\": \"-\", \"bbox\": [328, 392, 332, 400]}, {\"cell\": \"-\", \"bbox\": [361, 392, 365, 400]}, {\"cell\": \"2\", \"bbox\": [393, 392, 399, 400]}, {\"cell\": \"1\", \"bbox\": [427, 392, 432, 400]}, {\"cell\": \"3(4.8)\", \"bbox\": [463, 392, 483, 400]}, {\"cell\": \"Salmonella choleraesuis\", \"bbox\": [30, 413, 110, 422]}, {\"cell\": \"-\", \"bbox\": [165, 413, 170, 422]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 413, 217, 422]}, {\"cell\": \"-\", \"bbox\": [257, 413, 262, 422]}, {\"cell\": \"-\", \"bbox\": [296, 413, 301, 422]}, {\"cell\": \"-\", \"bbox\": [328, 413, 332, 422]}, {\"cell\": \"-\", \"bbox\": [361, 413, 365, 422]}, {\"cell\": \"1\", \"bbox\": [393, 413, 399, 422]}, {\"cell\": \"-\", \"bbox\": [427, 413, 432, 422]}, {\"cell\": \"1(1.6)\", \"bbox\": [463, 413, 483, 422]}, {\"cell\": \"Salmonella Paratyphi A\", \"bbox\": [31, 435, 110, 443]}, {\"cell\": \"-\", \"bbox\": [165, 434, 170, 443]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 434, 217, 443]}, {\"cell\": \"-\", \"bbox\": [257, 434, 262, 443]}, {\"cell\": \"-\", \"bbox\": [296, 434, 301, 443]}, {\"cell\": \"-\", \"bbox\": [328, 434, 332, 443]}, {\"cell\": \"-\", \"bbox\": [361, 434, 365, 443]}, {\"cell\": \"1\", \"bbox\": [393, 434, 399, 443]}, {\"cell\": \"-\", \"bbox\": [427, 434, 432, 443]}, {\"cell\": \"1(1.6)\", \"bbox\": [463, 434, 483, 443]}, {\"cell\": \"Shigella species\", \"bbox\": [43, 456, 98, 465]}, {\"cell\": \"-\", \"bbox\": [165, 456, 170, 465]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 456, 217, 465]}, {\"cell\": \"-\", \"bbox\": [257, 456, 262, 465]}, {\"cell\": \"-\", \"bbox\": [296, 456, 301, 465]}, {\"cell\": \"-\", \"bbox\": [328, 456, 332, 465]}, {\"cell\": \"-\", \"bbox\": [361, 456, 365, 465]}, {\"cell\": \"4\", \"bbox\": [393, 456, 399, 465]}, {\"cell\": \"-\", \"bbox\": [427, 456, 432, 465]}, {\"cell\": \"4(6.4)\", \"bbox\": [463, 456, 483, 465]}, {\"cell\": \"Stenotrophomonas maltophilia\", \"bbox\": [18, 478, 123, 486]}, {\"cell\": \"1\", \"bbox\": [165, 478, 170, 486]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 478, 218, 486]}, {\"cell\": \"1\", \"bbox\": [257, 478, 262, 486]}, {\"cell\": \"-\", \"bbox\": [296, 478, 301, 486]}, {\"cell\": \"-\", \"bbox\": [328, 478, 332, 486]}, {\"cell\": \"-\", \"bbox\": [361, 478, 365, 486]}, {\"cell\": \"-\", \"bbox\": [394, 478, 398, 486]}, {\"cell\": \"-\", \"bbox\": [427, 478, 432, 486]}, {\"cell\": \"5(7.9)\", \"bbox\": [463, 478, 483, 486]}, {\"cell\": \"Vibrio alginolyticus\", \"bbox\": [38, 499, 102, 508]}, {\"cell\": \"-\", \"bbox\": [165, 499, 170, 508]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 499, 218, 508]}, {\"cell\": \"-\", \"bbox\": [257, 499, 262, 508]}, {\"cell\": \"-\", \"bbox\": [296, 499, 301, 508]}, {\"cell\": \"-\", \"bbox\": [328, 499, 332, 508]}, {\"cell\": \"-\", \"bbox\": [361, 499, 365, 508]}, {\"cell\": \"-\", \"bbox\": [394, 499, 398, 508]}, {\"cell\": \"-\", \"bbox\": [427, 499, 432, 508]}, {\"cell\": \"1(1.6)\", \"bbox\": [463, 499, 483, 508]}, {\"cell\": \"Vibrio fluvialis\", \"bbox\": [46, 521, 94, 529]}, {\"cell\": \"-\", \"bbox\": [165, 521, 170, 529]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 521, 217, 529]}, {\"cell\": \"1\", \"bbox\": [257, 521, 262, 529]}, {\"cell\": \"-\", \"bbox\": [296, 521, 301, 529]}, {\"cell\": \"-\", \"bbox\": [328, 521, 332, 529]}, {\"cell\": \"-\", \"bbox\": [361, 521, 365, 529]}, {\"cell\": \"-\", \"bbox\": [394, 521, 398, 529]}, {\"cell\": \"-\", \"bbox\": [427, 521, 432, 529]}, {\"cell\": \"1(1.6)\", \"bbox\": [463, 521, 483, 529]}, {\"cell\": \"Yersinia enterocolitica\", \"bbox\": [33, 542, 108, 551]}, {\"cell\": \"-\", \"bbox\": [165, 542, 170, 551]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 542, 218, 551]}, {\"cell\": \"-\", \"bbox\": [257, 542, 262, 551]}, {\"cell\": \"-\", \"bbox\": [296, 542, 301, 551]}, {\"cell\": \"-\", \"bbox\": [328, 542, 332, 551]}, {\"cell\": \"-\", \"bbox\": [361, 542, 365, 551]}, {\"cell\": \"-\", \"bbox\": [394, 542, 398, 551]}, {\"cell\": \"1\", \"bbox\": [427, 542, 432, 551]}, {\"cell\": \"2(3.2)\", \"bbox\": [463, 542, 483, 551]}, {\"cell\": \"Yersinia pseudotuberculosis\", \"bbox\": [24, 564, 116, 572]}, {\"cell\": \"-\", \"bbox\": [165, 564, 170, 572]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 564, 217, 572]}, {\"cell\": \"1\", \"bbox\": [257, 564, 262, 572]}, {\"cell\": \"-\", \"bbox\": [296, 564, 301, 572]}, {\"cell\": \"-\", \"bbox\": [328, 564, 332, 572]}, {\"cell\": \"-\", \"bbox\": [361, 564, 365, 572]}, {\"cell\": \"-\", \"bbox\": [394, 564, 398, 572]}, {\"cell\": \"2\", \"bbox\": [427, 564, 432, 572]}, {\"cell\": \"3(4.8)\", \"bbox\": [463, 564, 483, 572]}, {\"cell\": \"Yersinia ruckeri\", \"bbox\": [44, 585, 97, 594]}, {\"cell\": \"-\", \"bbox\": [165, 585, 170, 594]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 585, 217, 594]}, {\"cell\": \"-\", \"bbox\": [257, 585, 262, 594]}, {\"cell\": \"-\", \"bbox\": [296, 585, 301, 594]}, {\"cell\": \"-\", \"bbox\": [328, 585, 332, 594]}, {\"cell\": \"1\", \"bbox\": [360, 585, 366, 594]}, {\"cell\": \"-\", \"bbox\": [394, 585, 398, 594]}, {\"cell\": \"-\", \"bbox\": [427, 585, 432, 594]}, {\"cell\": \"1(1.6)\", \"bbox\": [463, 585, 483, 594]}, {\"cell\": \"Yokenella regensburgei\", \"bbox\": [32, 607, 109, 615]}, {\"cell\": \"-\", \"bbox\": [165, 607, 170, 615]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 607, 217, 615]}, {\"cell\": \"-\", \"bbox\": [257, 607, 262, 615]}, {\"cell\": \"-\", \"bbox\": [296, 607, 301, 615]}, {\"cell\": \"1\", \"bbox\": [327, 607, 333, 615]}, {\"cell\": \"-\", \"bbox\": [361, 607, 365, 615]}, {\"cell\": \"-\", \"bbox\": [394, 607, 398, 615]}, {\"cell\": \"-\", \"bbox\": [427, 607, 432, 615]}, {\"cell\": \"1(1.6)\", \"bbox\": [463, 607, 483, 615]}, {\"cell\": \"Total No(%)\", \"bbox\": [48, 628, 93, 637]}, {\"cell\": \"3(4.8)\", \"bbox\": [158, 628, 177, 637]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 628, 229, 637]}, {\"cell\": \"4(6.4)\", \"bbox\": [250, 628, 269, 637]}, {\"cell\": \"1(1.6)\", \"bbox\": [288, 628, 308, 637]}, {\"cell\": \"15(23.8)\", \"bbox\": [316, 628, 344, 637]}, {\"cell\": \"5(7.9)\", \"bbox\": [353, 628, 373, 637]}, {\"cell\": \"13(20.6)\", \"bbox\": [382, 628, 409, 637]}, {\"cell\": \"8(12.7)\", \"bbox\": [418, 628, 441, 637]}, {\"cell\": \"63(100)\", \"bbox\": [460, 628, 486, 637]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2654854_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
SubstrateOligonucleotide componentsJunction sequence
−2−11IC
Substrate 11a, 1b, 1c[EMPTY_CELL]GAT
Substrate 1-FAM1a, 1b-3′-FAM, 1c[EMPTY_CELL]GAT
SacI substrateSacI-a, SacI-b, 1c[EMPTY_CELL]GCT
Substrate 22a, 2b, 1c[EMPTY_CELL]GGT
Substrate 32a, 3b, 1c[EMPTY_CELL]GGA
3′-phos substrate2a, 3b, 1c-3′P[EMPTY_CELL]GGA
Substrate 42a, 4b, 1c[EMPTY_CELL]GGC
Substrate 52a, 5b, 1c[EMPTY_CELL]GGG
Substrate 66a, 6b, 1c[EMPTY_CELL]GCA
Substrate 77a, 7b, 1c[EMPTY_CELL]GTA
Substrate 81a, 8b, 1c[EMPTY_CELL]GAA
Substrate 99a, 3b, 9c[EMPTY_CELL]TGA
Substrate 1010a, 3b, 10c[EMPTY_CELL]AGA
Substrate 1111a, 3b, 11c[EMPTY_CELL]CGA
Substrate 1212a, 3b, 12c[EMPTY_CELL]AGA
Substrate 1313a, 3b, 13c[EMPTY_CELL]AGA
Substrate 1414a, 3b, 14c[EMPTY_CELL]AGA
Substrate 152a, 4b, 1c[EMPTY_CELL]GGC
Substrate 1611a, 4b, 11c[EMPTY_CELL]CGC
Substrate 1710a, 4b, 10c[EMPTY_CELL]AGC
Substrate 189a, 4b, 9c[EMPTY_CELL]TGC
Substrate 1919a, 19b, 19c[EMPTY_CELL]GGA
Gap1019a, 19b, 19c, 20d-10[EMPTY_CELL]GGA
Gap519a, 19b, 19c, 20d-5[EMPTY_CELL]GGA
Nick19a, 19b, 19c, 20d[EMPTY_CELL]GGA
Y-junction19a, 19b, 20c-d[EMPTY_CELL]GGA
Spacer 3-1 substrateSp3-1a, Sp3-1b, Sp3-1c[EMPTY_CELL]AGA
Spacer 3-2 substrateSp3-2a, Sp3-2b, Sp3-2c[EMPTY_CELL]CGC
\", \"cells\": [{\"cell\": \"Substrate\", \"bbox\": [1, 18, 43, 29]}, {\"cell\": \"Oligonucleotide components\", \"bbox\": [104, 18, 228, 29]}, {\"cell\": \"Junction sequence\", \"bbox\": [256, 1, 337, 12]}, {\"cell\": \"−2\", \"bbox\": [256, 18, 270, 29]}, {\"cell\": \"−1\", \"bbox\": [304, 18, 318, 29]}, {\"cell\": \"1\", \"bbox\": [351, 18, 359, 29]}, {\"cell\": \"IC\", \"bbox\": [393, 18, 404, 29]}, {\"cell\": \"Substrate 1\", \"bbox\": [1, 33, 43, 43]}, {\"cell\": \"1a, 1b, 1c\", \"bbox\": [104, 33, 140, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 33, 264, 43]}, {\"cell\": \"G\", \"bbox\": [304, 33, 312, 43]}, {\"cell\": \"A\", \"bbox\": [351, 33, 359, 43]}, {\"cell\": \"T\", \"bbox\": [393, 33, 399, 43]}, {\"cell\": \"Substrate 1-FAM\", \"bbox\": [1, 47, 62, 57]}, {\"cell\": \"1a, 1b-3′-FAM, 1c\", \"bbox\": [104, 47, 169, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 47, 264, 57]}, {\"cell\": \"G\", \"bbox\": [304, 47, 312, 57]}, {\"cell\": \"A\", \"bbox\": [351, 47, 359, 57]}, {\"cell\": \"T\", \"bbox\": [393, 47, 399, 57]}, {\"cell\": \"SacI substrate\", \"bbox\": [1, 61, 52, 71]}, {\"cell\": \"SacI-a, SacI-b, 1c\", \"bbox\": [104, 61, 166, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 61, 264, 71]}, {\"cell\": \"G\", \"bbox\": [304, 61, 312, 71]}, {\"cell\": \"C\", \"bbox\": [351, 61, 359, 71]}, {\"cell\": \"T\", \"bbox\": [393, 61, 399, 71]}, {\"cell\": \"Substrate 2\", \"bbox\": [1, 76, 43, 85]}, {\"cell\": \"2a, 2b, 1c\", \"bbox\": [104, 76, 140, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 76, 264, 85]}, {\"cell\": \"G\", \"bbox\": [304, 76, 312, 85]}, {\"cell\": \"G\", \"bbox\": [351, 76, 359, 85]}, {\"cell\": \"T\", \"bbox\": [393, 76, 399, 85]}, {\"cell\": \"Substrate 3\", \"bbox\": [1, 90, 43, 100]}, {\"cell\": \"2a, 3b, 1c\", \"bbox\": [104, 90, 140, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 90, 264, 100]}, {\"cell\": \"G\", \"bbox\": [304, 90, 312, 100]}, {\"cell\": \"G\", \"bbox\": [351, 90, 359, 100]}, {\"cell\": \"A\", \"bbox\": [393, 90, 400, 100]}, {\"cell\": \"3′-phos substrate\", \"bbox\": [1, 104, 64, 114]}, {\"cell\": \"2a, 3b, 1c-3′P\", \"bbox\": [104, 104, 154, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 104, 264, 114]}, {\"cell\": \"G\", \"bbox\": [304, 104, 312, 114]}, {\"cell\": \"G\", \"bbox\": [351, 104, 359, 114]}, {\"cell\": \"A\", \"bbox\": [393, 104, 400, 114]}, {\"cell\": \"Substrate 4\", \"bbox\": [1, 118, 43, 128]}, {\"cell\": \"2a, 4b, 1c\", \"bbox\": [104, 118, 140, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 118, 264, 128]}, {\"cell\": \"G\", \"bbox\": [304, 118, 312, 128]}, {\"cell\": \"G\", \"bbox\": [351, 118, 359, 128]}, {\"cell\": \"C\", \"bbox\": [393, 118, 401, 128]}, {\"cell\": \"Substrate 5\", \"bbox\": [1, 132, 43, 142]}, {\"cell\": \"2a, 5b, 1c\", \"bbox\": [104, 132, 140, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 132, 264, 142]}, {\"cell\": \"G\", \"bbox\": [304, 132, 312, 142]}, {\"cell\": \"G\", \"bbox\": [351, 132, 359, 142]}, {\"cell\": \"G\", \"bbox\": [393, 132, 401, 142]}, {\"cell\": \"Substrate 6\", \"bbox\": [1, 147, 43, 156]}, {\"cell\": \"6a, 6b, 1c\", \"bbox\": [104, 147, 140, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 147, 264, 156]}, {\"cell\": \"G\", \"bbox\": [304, 147, 312, 156]}, {\"cell\": \"C\", \"bbox\": [351, 147, 359, 156]}, {\"cell\": \"A\", \"bbox\": [393, 147, 400, 156]}, {\"cell\": \"Substrate 7\", \"bbox\": [1, 161, 43, 171]}, {\"cell\": \"7a, 7b, 1c\", \"bbox\": [104, 161, 140, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 161, 264, 171]}, {\"cell\": \"G\", \"bbox\": [304, 161, 312, 171]}, {\"cell\": \"T\", \"bbox\": [351, 161, 358, 171]}, {\"cell\": \"A\", \"bbox\": [393, 161, 400, 171]}, {\"cell\": \"Substrate 8\", \"bbox\": [1, 175, 43, 185]}, {\"cell\": \"1a, 8b, 1c\", \"bbox\": [104, 175, 140, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 175, 264, 185]}, {\"cell\": \"G\", \"bbox\": [304, 175, 312, 185]}, {\"cell\": \"A\", \"bbox\": [351, 175, 359, 185]}, {\"cell\": \"A\", \"bbox\": [393, 175, 400, 185]}, {\"cell\": \"Substrate 9\", \"bbox\": [1, 189, 43, 199]}, {\"cell\": \"9a, 3b, 9c\", \"bbox\": [104, 189, 140, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 189, 264, 199]}, {\"cell\": \"T\", \"bbox\": [304, 189, 310, 199]}, {\"cell\": \"G\", \"bbox\": [351, 189, 359, 199]}, {\"cell\": \"A\", \"bbox\": [393, 189, 400, 199]}, {\"cell\": \"Substrate 10\", \"bbox\": [1, 203, 47, 213]}, {\"cell\": \"10a, 3b, 10c\", \"bbox\": [104, 203, 149, 213]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 203, 264, 213]}, {\"cell\": \"A\", \"bbox\": [304, 203, 311, 213]}, {\"cell\": \"G\", \"bbox\": [351, 203, 359, 213]}, {\"cell\": \"A\", \"bbox\": [393, 203, 400, 213]}, {\"cell\": \"Substrate 11\", \"bbox\": [1, 218, 47, 227]}, {\"cell\": \"11a, 3b, 11c\", \"bbox\": [104, 218, 149, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 218, 264, 227]}, {\"cell\": \"C\", \"bbox\": [304, 218, 311, 227]}, {\"cell\": \"G\", \"bbox\": [351, 218, 359, 227]}, {\"cell\": \"A\", \"bbox\": [393, 218, 400, 227]}, {\"cell\": \"Substrate 12\", \"bbox\": [1, 232, 47, 242]}, {\"cell\": \"12a, 3b, 12c\", \"bbox\": [104, 232, 149, 242]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 232, 264, 242]}, {\"cell\": \"A\", \"bbox\": [304, 232, 311, 242]}, {\"cell\": \"G\", \"bbox\": [351, 232, 359, 242]}, {\"cell\": \"A\", \"bbox\": [393, 232, 400, 242]}, {\"cell\": \"Substrate 13\", \"bbox\": [1, 246, 47, 256]}, {\"cell\": \"13a, 3b, 13c\", \"bbox\": [104, 246, 149, 256]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 246, 264, 256]}, {\"cell\": \"A\", \"bbox\": [304, 246, 311, 256]}, {\"cell\": \"G\", \"bbox\": [351, 246, 359, 256]}, {\"cell\": \"A\", \"bbox\": [393, 246, 400, 256]}, {\"cell\": \"Substrate 14\", \"bbox\": [1, 260, 47, 270]}, {\"cell\": \"14a, 3b, 14c\", \"bbox\": [104, 260, 149, 270]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 260, 263, 270]}, {\"cell\": \"A\", \"bbox\": [304, 260, 311, 270]}, {\"cell\": \"G\", \"bbox\": [351, 260, 359, 270]}, {\"cell\": \"A\", \"bbox\": [393, 260, 400, 270]}, {\"cell\": \"Substrate 15\", \"bbox\": [1, 274, 47, 284]}, {\"cell\": \"2a, 4b, 1c\", \"bbox\": [104, 274, 140, 284]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 274, 264, 284]}, {\"cell\": \"G\", \"bbox\": [304, 274, 312, 284]}, {\"cell\": \"G\", \"bbox\": [351, 274, 359, 284]}, {\"cell\": \"C\", \"bbox\": [393, 274, 401, 284]}, {\"cell\": \"Substrate 16\", \"bbox\": [1, 289, 47, 298]}, {\"cell\": \"11a, 4b, 11c\", \"bbox\": [104, 289, 149, 298]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 289, 264, 298]}, {\"cell\": \"C\", \"bbox\": [304, 289, 311, 298]}, {\"cell\": \"G\", \"bbox\": [351, 289, 359, 298]}, {\"cell\": \"C\", \"bbox\": [393, 289, 401, 298]}, {\"cell\": \"Substrate 17\", \"bbox\": [1, 303, 47, 313]}, {\"cell\": \"10a, 4b, 10c\", \"bbox\": [104, 303, 149, 313]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 303, 264, 313]}, {\"cell\": \"A\", \"bbox\": [304, 303, 311, 313]}, {\"cell\": \"G\", \"bbox\": [351, 303, 359, 313]}, {\"cell\": \"C\", \"bbox\": [393, 303, 401, 313]}, {\"cell\": \"Substrate 18\", \"bbox\": [1, 317, 47, 327]}, {\"cell\": \"9a, 4b, 9c\", \"bbox\": [104, 317, 140, 327]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 317, 264, 327]}, {\"cell\": \"T\", \"bbox\": [304, 317, 310, 327]}, {\"cell\": \"G\", \"bbox\": [351, 317, 359, 327]}, {\"cell\": \"C\", \"bbox\": [393, 317, 401, 327]}, {\"cell\": \"Substrate 19\", \"bbox\": [1, 331, 47, 341]}, {\"cell\": \"19a, 19b, 19c\", \"bbox\": [104, 331, 153, 341]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 331, 264, 341]}, {\"cell\": \"G\", \"bbox\": [304, 331, 312, 341]}, {\"cell\": \"G\", \"bbox\": [351, 331, 359, 341]}, {\"cell\": \"A\", \"bbox\": [393, 331, 400, 341]}, {\"cell\": \"Gap10\", \"bbox\": [1, 345, 26, 355]}, {\"cell\": \"19a, 19b, 19c, 20d-10\", \"bbox\": [104, 345, 182, 355]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 345, 264, 355]}, {\"cell\": \"G\", \"bbox\": [304, 345, 312, 355]}, {\"cell\": \"G\", \"bbox\": [351, 345, 359, 355]}, {\"cell\": \"A\", \"bbox\": [393, 345, 400, 355]}, {\"cell\": \"Gap5\", \"bbox\": [1, 360, 22, 369]}, {\"cell\": \"19a, 19b, 19c, 20d-5\", \"bbox\": [104, 360, 177, 369]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 360, 264, 369]}, {\"cell\": \"G\", \"bbox\": [304, 360, 312, 369]}, {\"cell\": \"G\", \"bbox\": [351, 360, 359, 369]}, {\"cell\": \"A\", \"bbox\": [393, 360, 400, 369]}, {\"cell\": \"Nick\", \"bbox\": [1, 374, 18, 384]}, {\"cell\": \"19a, 19b, 19c, 20d\", \"bbox\": [104, 374, 171, 384]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 374, 264, 384]}, {\"cell\": \"G\", \"bbox\": [304, 374, 312, 384]}, {\"cell\": \"G\", \"bbox\": [351, 374, 359, 384]}, {\"cell\": \"A\", \"bbox\": [393, 374, 400, 384]}, {\"cell\": \"Y-junction\", \"bbox\": [1, 388, 38, 398]}, {\"cell\": \"19a, 19b, 20c-d\", \"bbox\": [104, 388, 160, 398]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 388, 264, 398]}, {\"cell\": \"G\", \"bbox\": [304, 388, 312, 398]}, {\"cell\": \"G\", \"bbox\": [351, 388, 359, 398]}, {\"cell\": \"A\", \"bbox\": [393, 388, 400, 398]}, {\"cell\": \"Spacer 3-1 substrate\", \"bbox\": [1, 402, 76, 412]}, {\"cell\": \"Sp3-1a, Sp3-1b, Sp3-1c\", \"bbox\": [104, 402, 189, 412]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 402, 264, 412]}, {\"cell\": \"A\", \"bbox\": [304, 402, 311, 412]}, {\"cell\": \"G\", \"bbox\": [351, 402, 359, 412]}, {\"cell\": \"A\", \"bbox\": [393, 402, 400, 412]}, {\"cell\": \"Spacer 3-2 substrate\", \"bbox\": [1, 416, 76, 426]}, {\"cell\": \"Sp3-2a, Sp3-2b, Sp3-2c\", \"bbox\": [104, 416, 189, 426]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 416, 264, 426]}, {\"cell\": \"C\", \"bbox\": [304, 416, 311, 426]}, {\"cell\": \"G\", \"bbox\": [351, 416, 359, 426]}, {\"cell\": \"C\", \"bbox\": [393, 416, 401, 426]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4574026_016_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]n = 136
Age83 (80-87)
Female gender67 (49.3%)
BMI25.3 (22.6-29-4)
Presentation
[EMPTY_CELL]Syncope40 (29.4%)
[EMPTY_CELL]Angina pectoris28 (20.6%)
[EMPTY_CELL]Heart failure
[EMPTY_CELL]NYHA functional class
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]7 (5.1%)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]71 (52.2%)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]58 (42.6%)
Systemic hypertension80 (67.2%)
Diabetes mellitus51 (37.5%)
Hypercholesterolemia65 (47.8%)
Previous AMI17 (12.5%)
Coronary artery disease77 (56.6%)
Previous CABG30 (25.2%)
Previous PCI, days46 (33.8%)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]29 (21.3%)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]17 (12.5%)
Previous stroke8 (5.9%)
Peripheral vascular disease32 (23.5%)
COPD13 (9.6%)
Chronic kidney failure70 (51.5%)
Pulmonary arterial hypertension33 (24.3%)
Sinus rhythm102 (75%)
Permanent atrial fibrillation14 (10.3%)
Previous pacemaker19 (14.7%)
Logistic euroSCORE (%)19.1 (11.4-31.1)
STS mortality (%)9.3 (4.8-22.3)
EF< 50%36 (26.5%)
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"n = 136\", \"bbox\": [160, 6, 183, 14]}, {\"cell\": \"Age\", \"bbox\": [5, 20, 18, 29]}, {\"cell\": \"83 (80-87)\", \"bbox\": [156, 20, 187, 29]}, {\"cell\": \"Female gender\", \"bbox\": [5, 34, 48, 43]}, {\"cell\": \"67 (49.3%)\", \"bbox\": [156, 34, 188, 43]}, {\"cell\": \"BMI\", \"bbox\": [5, 48, 18, 57]}, {\"cell\": \"25.3 (22.6-29-4)\", \"bbox\": [149, 48, 195, 57]}, {\"cell\": \"Presentation\", \"bbox\": [5, 62, 41, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Syncope\", \"bbox\": [16, 76, 42, 85]}, {\"cell\": \"40 (29.4%)\", \"bbox\": [156, 76, 188, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Angina pectoris\", \"bbox\": [16, 90, 60, 99]}, {\"cell\": \"28 (20.6%)\", \"bbox\": [156, 90, 188, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Heart failure\", \"bbox\": [16, 104, 52, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"NYHA functional class\", \"bbox\": [27, 120, 95, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [39, 134, 44, 143]}, {\"cell\": \"7 (5.1%)\", \"bbox\": [159, 134, 184, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [39, 148, 46, 157]}, {\"cell\": \"71 (52.2%)\", \"bbox\": [156, 148, 188, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [39, 161, 47, 171]}, {\"cell\": \"58 (42.6%)\", \"bbox\": [156, 161, 188, 171]}, {\"cell\": \"Systemic hypertension\", \"bbox\": [5, 175, 69, 184]}, {\"cell\": \"80 (67.2%)\", \"bbox\": [156, 175, 188, 184]}, {\"cell\": \"Diabetes mellitus\", \"bbox\": [5, 189, 54, 198]}, {\"cell\": \"51 (37.5%)\", \"bbox\": [156, 189, 188, 198]}, {\"cell\": \"Hypercholesterolemia\", \"bbox\": [5, 203, 66, 212]}, {\"cell\": \"65 (47.8%)\", \"bbox\": [156, 203, 188, 212]}, {\"cell\": \"Previous AMI\", \"bbox\": [5, 217, 43, 226]}, {\"cell\": \"17 (12.5%)\", \"bbox\": [156, 217, 188, 226]}, {\"cell\": \"Coronary artery disease\", \"bbox\": [5, 231, 72, 240]}, {\"cell\": \"77 (56.6%)\", \"bbox\": [156, 231, 188, 240]}, {\"cell\": \"Previous CABG\", \"bbox\": [5, 245, 50, 254]}, {\"cell\": \"30 (25.2%)\", \"bbox\": [156, 245, 188, 254]}, {\"cell\": \"Previous PCI, days\", \"bbox\": [5, 259, 59, 268]}, {\"cell\": \"46 (33.8%)\", \"bbox\": [156, 259, 188, 268]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [16, 273, 30, 282]}, {\"cell\": \"29 (21.3%)\", \"bbox\": [156, 273, 188, 282]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [16, 287, 30, 296]}, {\"cell\": \"17 (12.5%)\", \"bbox\": [156, 287, 188, 296]}, {\"cell\": \"Previous stroke\", \"bbox\": [5, 301, 49, 310]}, {\"cell\": \"8 (5.9%)\", \"bbox\": [159, 301, 184, 310]}, {\"cell\": \"Peripheral vascular disease\", \"bbox\": [5, 315, 82, 324]}, {\"cell\": \"32 (23.5%)\", \"bbox\": [156, 315, 188, 324]}, {\"cell\": \"COPD\", \"bbox\": [5, 329, 25, 338]}, {\"cell\": \"13 (9.6%)\", \"bbox\": [157, 329, 186, 338]}, {\"cell\": \"Chronic kidney failure\", \"bbox\": [5, 343, 66, 352]}, {\"cell\": \"70 (51.5%)\", \"bbox\": [156, 343, 188, 352]}, {\"cell\": \"Pulmonary arterial hypertension\", \"bbox\": [5, 357, 94, 366]}, {\"cell\": \"33 (24.3%)\", \"bbox\": [156, 357, 188, 366]}, {\"cell\": \"Sinus rhythm\", \"bbox\": [5, 371, 43, 380]}, {\"cell\": \"102 (75%)\", \"bbox\": [156, 371, 187, 380]}, {\"cell\": \"Permanent atrial fibrillation\", \"bbox\": [5, 382, 80, 395]}, {\"cell\": \"14 (10.3%)\", \"bbox\": [156, 385, 188, 394]}, {\"cell\": \"Previous pacemaker\", \"bbox\": [5, 399, 63, 408]}, {\"cell\": \"19 (14.7%)\", \"bbox\": [156, 399, 188, 408]}, {\"cell\": \"Logistic euroSCORE (%)\", \"bbox\": [5, 413, 75, 422]}, {\"cell\": \"19.1 (11.4-31.1)\", \"bbox\": [149, 413, 194, 422]}, {\"cell\": \"STS mortality (%)\", \"bbox\": [5, 427, 55, 436]}, {\"cell\": \"9.3 (4.8-22.3)\", \"bbox\": [152, 427, 191, 436]}, {\"cell\": \"EF< 50%\", \"bbox\": [5, 441, 32, 450]}, {\"cell\": \"36 (26.5%)\", \"bbox\": [156, 441, 188, 450]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4940151_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]NH-lRD-lNH-rLD-rANOVA
1 kHz tone burst[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Ipsilateral99.654 ± 4.235[EMPTY_CELL]110.035 ± 2.93694.769 ± 3.384F(3.30) = 4.632, p = 0.009* *
[EMPTY_CELL](8)[EMPTY_CELL](8)(8)[EMPTY_CELL]
Contralateral95.990 ± 3.959[EMPTY_CELL]106.005 ± 2.85495.013 ± 2.661F(3.30) = 2.958, p = 0.048*
[EMPTY_CELL](8)[EMPTY_CELL](8)(8)[EMPTY_CELL]
IHLD3.664 ± 3.574[EMPTY_CELL]4.030 ± 1.975-0.244 ± 1.628F(3.30) = 1.508, p = 0.232
[EMPTY_CELL](8)[EMPTY_CELL](8)(8)[EMPTY_CELL]
Unvoiced CV syllable/pa/[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Ipsilateral104.120 ± 4.487[EMPTY_CELL]106.819 ± 1.42097.002 ± 5.747F(3.26) = 3.046, p = 0.047*
[EMPTY_CELL](7)[EMPTY_CELL](6)(7)[EMPTY_CELL]
Contralateral98.398 ± 4.165[EMPTY_CELL]103.888 ± 1.981102.445 ± 4.580F(3.26) = 0.800, p = 0.505
[EMPTY_CELL](7)[EMPTY_CELL](6)(7)[EMPTY_CELL]
IHLD5.722 ± 2.950[EMPTY_CELL]2.931 ± 1.405-5.443 ± 1.717F(3,26) = 5.599, p = 0.004* *
[EMPTY_CELL](7)[EMPTY_CELL](6)(7)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"NH-l\", \"bbox\": [138, 5, 159, 14]}, {\"cell\": \"RD-l\", \"bbox\": [207, 5, 226, 14]}, {\"cell\": \"NH-r\", \"bbox\": [273, 5, 295, 14]}, {\"cell\": \"LD-r\", \"bbox\": [342, 5, 362, 14]}, {\"cell\": \"ANOVA\", \"bbox\": [426, 5, 461, 14]}, {\"cell\": \"1 kHz tone burst\", \"bbox\": [4, 27, 71, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Ipsilateral\", \"bbox\": [14, 37, 48, 47]}, {\"cell\": \"99.654 ± 4.235\", \"bbox\": [122, 37, 174, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 37, 244, 47]}, {\"cell\": \"110.035 ± 2.936\", \"bbox\": [256, 37, 312, 47]}, {\"cell\": \"94.769 ± 3.384\", \"bbox\": [326, 37, 378, 47]}, {\"cell\": \"F(3.30) = 4.632, p = 0.009* *\", \"bbox\": [394, 37, 493, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"(8)\", \"bbox\": [142, 47, 154, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 47, 224, 57]}, {\"cell\": \"(8)\", \"bbox\": [278, 47, 290, 57]}, {\"cell\": \"(8)\", \"bbox\": [346, 47, 358, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Contralateral\", \"bbox\": [14, 58, 61, 67]}, {\"cell\": \"95.990 ± 3.959\", \"bbox\": [122, 58, 174, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 58, 244, 67]}, {\"cell\": \"106.005 ± 2.854\", \"bbox\": [256, 58, 312, 67]}, {\"cell\": \"95.013 ± 2.661\", \"bbox\": [326, 58, 378, 67]}, {\"cell\": \"F(3.30) = 2.958, p = 0.048*\", \"bbox\": [397, 57, 490, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"(8)\", \"bbox\": [142, 68, 154, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 68, 224, 77]}, {\"cell\": \"(8)\", \"bbox\": [278, 68, 290, 77]}, {\"cell\": \"(8)\", \"bbox\": [346, 68, 358, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" IHLD\", \"bbox\": [14, 78, 35, 88]}, {\"cell\": \"3.664 ± 3.574\", \"bbox\": [124, 78, 172, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [192, 78, 240, 88]}, {\"cell\": \"4.030 ± 1.975\", \"bbox\": [260, 78, 308, 88]}, {\"cell\": \"-0.244 ± 1.628\", \"bbox\": [327, 78, 377, 88]}, {\"cell\": \"F(3.30) = 1.508, p = 0.232\", \"bbox\": [399, 78, 488, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"(8)\", \"bbox\": [142, 88, 154, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 88, 224, 98]}, {\"cell\": \"(8)\", \"bbox\": [278, 88, 290, 98]}, {\"cell\": \"(8)\", \"bbox\": [346, 88, 358, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Unvoiced CV syllable/pa/\", \"bbox\": [4, 111, 102, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Ipsilateral\", \"bbox\": [14, 121, 48, 130]}, {\"cell\": \"104.120 ± 4.487\", \"bbox\": [120, 121, 176, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 121, 244, 130]}, {\"cell\": \"106.819 ± 1.420\", \"bbox\": [256, 121, 312, 130]}, {\"cell\": \"97.002 ± 5.747\", \"bbox\": [326, 121, 378, 130]}, {\"cell\": \"F(3.26) = 3.046, p = 0.047*\", \"bbox\": [397, 121, 490, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"(7)\", \"bbox\": [142, 131, 154, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 131, 224, 141]}, {\"cell\": \"(6)\", \"bbox\": [278, 131, 290, 141]}, {\"cell\": \"(7)\", \"bbox\": [346, 131, 358, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Contralateral\", \"bbox\": [14, 141, 61, 151]}, {\"cell\": \"98.398 ± 4.165\", \"bbox\": [122, 141, 174, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 141, 244, 151]}, {\"cell\": \"103.888 ± 1.981\", \"bbox\": [256, 141, 312, 151]}, {\"cell\": \"102.445 ± 4.580\", \"bbox\": [324, 141, 380, 151]}, {\"cell\": \"F(3.26) = 0.800, p = 0.505\", \"bbox\": [399, 141, 488, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"(7)\", \"bbox\": [142, 152, 154, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 152, 224, 161]}, {\"cell\": \"(6)\", \"bbox\": [278, 152, 290, 161]}, {\"cell\": \"(7)\", \"bbox\": [346, 152, 358, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" IHLD\", \"bbox\": [14, 162, 35, 171]}, {\"cell\": \"5.722 ± 2.950\", \"bbox\": [124, 162, 172, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [192, 162, 240, 171]}, {\"cell\": \"2.931 ± 1.405\", \"bbox\": [260, 162, 308, 171]}, {\"cell\": \"-5.443 ± 1.717\", \"bbox\": [327, 162, 377, 171]}, {\"cell\": \"F(3,26) = 5.599, p = 0.004* *\", \"bbox\": [394, 162, 493, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"(7)\", \"bbox\": [142, 172, 154, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 172, 224, 182]}, {\"cell\": \"(6)\", \"bbox\": [278, 172, 290, 182]}, {\"cell\": \"(7)\", \"bbox\": [346, 172, 358, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2662863_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
StudyParameter/therapy detailsORHM1ORHT2LRH3TLRH4
Stipa et al. [33]Pain intensity: visual analogic scale No-mild12/17 (70%)No-mild11/27 (40%)[EMPTY_CELL][EMPTY_CELL]
Moderate-severe5/17 (30%)Moderate-severe17/27 (60%)[EMPTY_CELL][EMPTY_CELL]
Lindgren et al. [34]ORHM versus ORHT P < 0.05Average total amount ± SD analgesics given85 ± 9.8 mg50 ± 7.9 mg[EMPTY_CELL][EMPTY_CELL]
Brown et al. [35] Median doses of morphine (range)94 mg (21–565)101 mg (59–219)[EMPTY_CELL][EMPTY_CELL]
Discontinued patient-controlled analgesia (days)3 (2–7)54 (2–5)[EMPTY_CELL][EMPTY_CELL]
Lohsiriwat et al. [36]ORHT versus LRH P = 0.25Time (days) to discontinuation of IV6 narcotics [EMPTY_CELL]1.4 ± 1.07[EMPTY_CELL][EMPTY_CELL]
Tan et al. [37]ORH versus LRH P = 0.478Median time of narcotic usage (days)ORH8 22[EMPTY_CELL]
Veenhof et al. [38][EMPTY_CELL][EMPTY_CELL]NR9[EMPTY_CELL]NR
Tanis et al. [39]ORHM versus ORHT P = 0.430Stop to parenteral analgesia (days): epidural (91%) or patient-controlled (9%) equally distributed between groups3 (1–6)52 (1–6)[EMPTY_CELL][EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Study\", \"bbox\": [2, 5, 25, 16]}, {\"cell\": \"Parameter/therapy details\", \"bbox\": [100, 5, 194, 16]}, {\"cell\": \"ORHM1\", \"bbox\": [263, 4, 294, 16]}, {\"cell\": \"ORHT2\", \"bbox\": [355, 4, 385, 16]}, {\"cell\": \"LRH3\", \"bbox\": [428, 3, 450, 15]}, {\"cell\": \"TLRH4\", \"bbox\": [470, 3, 498, 15]}, {\"cell\": \"Stipa et al. [33]\", \"bbox\": [2, 26, 57, 37]}, {\"cell\": \"Pain intensity: visual analogic scale \", \"bbox\": [100, 23, 208, 45]}, {\"cell\": \"No-mild12/17 (70%)\", \"bbox\": [258, 18, 301, 39]}, {\"cell\": \"No-mild11/27 (40%)\", \"bbox\": [349, 18, 392, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Moderate-severe5/17 (30%)\", \"bbox\": [248, 41, 310, 62]}, {\"cell\": \"Moderate-severe17/27 (60%)\", \"bbox\": [339, 41, 401, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Lindgren et al. [34]ORHM versus ORHT P < 0.05\", \"bbox\": [2, 64, 83, 98]}, {\"cell\": \"Average total amount ± SD analgesics given\", \"bbox\": [100, 66, 199, 91]}, {\"cell\": \"85 ± 9.8 mg\", \"bbox\": [257, 72, 301, 87]}, {\"cell\": \"50 ± 7.9 mg\", \"bbox\": [349, 72, 392, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Brown et al. [35] \", \"bbox\": [2, 107, 64, 117]}, {\"cell\": \"Median doses of morphine (range)\", \"bbox\": [100, 99, 226, 110]}, {\"cell\": \"94 mg (21–565)\", \"bbox\": [251, 99, 307, 110]}, {\"cell\": \"101 mg (59–219)\", \"bbox\": [341, 99, 399, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Discontinued patient-controlled analgesia (days)\", \"bbox\": [100, 111, 217, 133]}, {\"cell\": \"3 (2–7)5\", \"bbox\": [264, 115, 294, 127]}, {\"cell\": \"4 (2–5)\", \"bbox\": [357, 117, 384, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Lohsiriwat et al. [36]ORHT versus LRH P = 0.25\", \"bbox\": [2, 135, 78, 168]}, {\"cell\": \"Time (days) to discontinuation of IV6 narcotics \", \"bbox\": [100, 140, 222, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.4 ± 1.07\", \"bbox\": [352, 141, 388, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [423, 141, 456, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Tan et al. [37]ORH versus LRH P = 0.478\", \"bbox\": [2, 169, 67, 202]}, {\"cell\": \"Median time of narcotic usage (days)\", \"bbox\": [100, 174, 210, 195]}, {\"cell\": \"ORH8 2\", \"bbox\": [309, 176, 340, 189]}, {\"cell\": \"2\", \"bbox\": [436, 178, 443, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Veenhof et al. [38]\", \"bbox\": [2, 203, 70, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"NR9\", \"bbox\": [362, 201, 379, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"NR\", \"bbox\": [477, 202, 492, 213]}, {\"cell\": \"Tanis et al. [39]ORHM versus ORHT P = 0.430\", \"bbox\": [2, 221, 83, 254]}, {\"cell\": \"Stop to parenteral analgesia (days): epidural (91%) or patient-controlled (9%) equally distributed between groups\", \"bbox\": [100, 216, 226, 258]}, {\"cell\": \"3 (1–6)5\", \"bbox\": [265, 230, 293, 242]}, {\"cell\": \"2 (1–6)\", \"bbox\": [357, 232, 383, 242]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3925523_009_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
AntibodyDilutionSupplierProduct ID
YB-11 : 10,000 (WB), 1 : 1000 (IF)[EMPTY_CELL]ab76149
p-YB-1 (ser102)1 : 2000 (WB)[EMPTY_CELL]2900
AFP1 : 500 (IF)[EMPTY_CELL]ab46799
Albumin1 : 500 (IF)[EMPTY_CELL]A90-134A
CK191 : 500 (IF)[EMPTY_CELL]MAB12076
CD1331 : 100 (IF)[EMPTY_CELL]14-1331-80
CD90/Thy11 : 500 (IF)[EMPTY_CELL]NB100-65543
α-SMA1 : 500 (IF)[EMPTY_CELL]ab7817
Collagen I1 : 1000 (WB), 1 : 200(IF)[EMPTY_CELL]6308
PDGF-β1 : 2000 (WB)[EMPTY_CELL]ab178409
PDGFR-β1 : 2000 (WB)[EMPTY_CELL]ab32570
p-Stat31 : 1000 (WB)[EMPTY_CELL]9145
ERK1/21 : 1000 (WB)[EMPTY_CELL]4695
p90 RSK (ser380)1 : 1000 (WB)[EMPTY_CELL]9341
PI3K p851 : 1000 (WB)[EMPTY_CELL]MAB2998
GAPDH1 : 10,000 (WB)[EMPTY_CELL]ab8245
\", \"cells\": [{\"cell\": \"Antibody\", \"bbox\": [3, 4, 38, 15]}, {\"cell\": \"Dilution\", \"bbox\": [88, 4, 120, 15]}, {\"cell\": \"Supplier\", \"bbox\": [146, 4, 178, 15]}, {\"cell\": \"Product ID\", \"bbox\": [194, 4, 237, 15]}, {\"cell\": \"YB-1\", \"bbox\": [3, 22, 23, 33]}, {\"cell\": \"1 : 10,000 (WB), 1 : 1000 (IF)\", \"bbox\": [74, 17, 134, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [148, 22, 176, 33]}, {\"cell\": \"ab76149\", \"bbox\": [200, 22, 232, 33]}, {\"cell\": \"p-YB-1 (ser102)\", \"bbox\": [3, 41, 63, 51]}, {\"cell\": \"1 : 2000 (WB)\", \"bbox\": [78, 41, 130, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 41, 171, 51]}, {\"cell\": \"2900\", \"bbox\": [206, 41, 225, 51]}, {\"cell\": \"AFP\", \"bbox\": [3, 53, 20, 64]}, {\"cell\": \"1 : 500 (IF)\", \"bbox\": [84, 53, 124, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [148, 53, 176, 64]}, {\"cell\": \"ab46799\", \"bbox\": [200, 53, 232, 64]}, {\"cell\": \"Albumin\", \"bbox\": [3, 66, 37, 77]}, {\"cell\": \"1 : 500 (IF)\", \"bbox\": [84, 66, 124, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [149, 66, 174, 77]}, {\"cell\": \"A90-134A\", \"bbox\": [196, 66, 235, 77]}, {\"cell\": \"CK19\", \"bbox\": [3, 80, 25, 90]}, {\"cell\": \"1 : 500 (IF)\", \"bbox\": [84, 80, 124, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [147, 80, 177, 90]}, {\"cell\": \"MAB12076\", \"bbox\": [194, 80, 237, 90]}, {\"cell\": \"CD133\", \"bbox\": [3, 92, 30, 103]}, {\"cell\": \"1 : 100 (IF)\", \"bbox\": [84, 92, 124, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [140, 92, 183, 103]}, {\"cell\": \"14-1331-80\", \"bbox\": [194, 92, 237, 103]}, {\"cell\": \"CD90/Thy1\", \"bbox\": [3, 105, 47, 116]}, {\"cell\": \"1 : 500 (IF)\", \"bbox\": [84, 105, 124, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [149, 105, 174, 116]}, {\"cell\": \"NB100-65543\", \"bbox\": [190, 105, 242, 116]}, {\"cell\": \"α-SMA\", \"bbox\": [3, 119, 31, 129]}, {\"cell\": \"1 : 500 (IF)\", \"bbox\": [84, 119, 124, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [148, 119, 176, 129]}, {\"cell\": \"ab7817\", \"bbox\": [202, 119, 230, 129]}, {\"cell\": \"Collagen I\", \"bbox\": [3, 137, 41, 147]}, {\"cell\": \"1 : 1000 (WB), 1 : 200(IF)\", \"bbox\": [77, 131, 131, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [148, 137, 176, 147]}, {\"cell\": \"6308\", \"bbox\": [206, 137, 225, 147]}, {\"cell\": \"PDGF-β\", \"bbox\": [3, 155, 36, 166]}, {\"cell\": \"1 : 2000 (WB)\", \"bbox\": [78, 155, 130, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [148, 155, 176, 166]}, {\"cell\": \"ab178409\", \"bbox\": [198, 155, 234, 166]}, {\"cell\": \"PDGFR-β\", \"bbox\": [3, 168, 41, 179]}, {\"cell\": \"1 : 2000 (WB)\", \"bbox\": [78, 168, 130, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [148, 168, 176, 179]}, {\"cell\": \"ab32570\", \"bbox\": [200, 168, 232, 179]}, {\"cell\": \"p-Stat3\", \"bbox\": [3, 181, 30, 192]}, {\"cell\": \"1 : 1000 (WB)\", \"bbox\": [78, 181, 130, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 181, 171, 192]}, {\"cell\": \"9145\", \"bbox\": [206, 181, 225, 192]}, {\"cell\": \"ERK1/2\", \"bbox\": [3, 194, 33, 205]}, {\"cell\": \"1 : 1000 (WB)\", \"bbox\": [78, 194, 130, 205]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 194, 171, 205]}, {\"cell\": \"4695\", \"bbox\": [206, 194, 225, 205]}, {\"cell\": \"p90 RSK (ser380)\", \"bbox\": [3, 207, 68, 218]}, {\"cell\": \"1 : 1000 (WB)\", \"bbox\": [78, 207, 130, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 207, 171, 218]}, {\"cell\": \"9341\", \"bbox\": [206, 207, 225, 218]}, {\"cell\": \"PI3K p85\", \"bbox\": [3, 220, 39, 231]}, {\"cell\": \"1 : 1000 (WB)\", \"bbox\": [78, 220, 130, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [152, 220, 172, 231]}, {\"cell\": \"MAB2998\", \"bbox\": [196, 220, 235, 231]}, {\"cell\": \"GAPDH\", \"bbox\": [3, 233, 36, 244]}, {\"cell\": \"1 : 10,000 (WB)\", \"bbox\": [75, 233, 133, 244]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [148, 233, 176, 244]}, {\"cell\": \"ab8245\", \"bbox\": [202, 233, 230, 244]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5591999_002_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
SynonymGeneAverage mRNA levelMM139/WTAnnotation
[EMPTY_CELL]smpB3.13SsrA-binding protein
[EMPTY_CELL]guaD2.78guanine deaminase
[EMPTY_CELL]yieP2.94predicted transcriptional regulator
[EMPTY_CELL]nanR2.41transcriptional regulator NanR
[EMPTY_CELL]hha2.34modulator of gene expression, with H-NS
[EMPTY_CELL]ydgT1.82H-NS and StpA-binding protein
[EMPTY_CELL]thrL1.73thr operon leader peptide
[EMPTY_CELL]ygeR1.72transcriptional regulator
[EMPTY_CELL]hisH1.68imidazole glycerol phosphate synthase subunit HisH
[EMPTY_CELL]fold1.67bifunctional 5,10-methylene-tetrahydrofolate dehydrogenase/5,10-methylene-tetrahydrofolate cyclohydrolase
[EMPTY_CELL]fruR1.67transcriptional dual regulator
[EMPTY_CELL]mprA1.67transcriptional repressor of microcin B17 synthesis and multidrug efflux
[EMPTY_CELL]mtr1.66tryptophan transporter of high affinity
[EMPTY_CELL]yddM1.66predicted transcriptional regulator
[EMPTY_CELL]dcuR1.65response regulator in two-component regulatory system
[EMPTY_CELL]ytfH1.64predicted transcriptional regulator
[EMPTY_CELL]polA1.63DNA polymerase I
[EMPTY_CELL]trpR1.63Trp operon repressor
[EMPTY_CELL]sstT1.61sodium:serine/threonine symporter
[EMPTY_CELL]ychA1.61predicted transcriptional regulator
[EMPTY_CELL]gntR1.55transcriptional repressor
[EMPTY_CELL]allR1.54transcriptional repressor
[EMPTY_CELL]slyA1.52transcriptional regulator SlyA
[EMPTY_CELL]kdpD1.51fused sensory histidine kinase in two-component regulatory system with KdpE
[EMPTY_CELL]yhiF1.51predicted transcriptional regulator
\", \"cells\": [{\"cell\": \"Synonym\", \"bbox\": [1, 4, 35, 13]}, {\"cell\": \"Gene\", \"bbox\": [39, 4, 58, 13]}, {\"cell\": \"Average mRNA levelMM139/WT\", \"bbox\": [71, 4, 126, 31]}, {\"cell\": \"Annotation\", \"bbox\": [139, 4, 180, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 35, 28, 45]}, {\"cell\": \"smpB\", \"bbox\": [39, 35, 58, 45]}, {\"cell\": \"3.13\", \"bbox\": [91, 35, 106, 45]}, {\"cell\": \"SsrA-binding protein\", \"bbox\": [139, 35, 207, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 48, 28, 58]}, {\"cell\": \"guaD\", \"bbox\": [39, 48, 58, 58]}, {\"cell\": \"2.78\", \"bbox\": [91, 48, 106, 58]}, {\"cell\": \"guanine deaminase\", \"bbox\": [139, 48, 204, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 62, 28, 71]}, {\"cell\": \"yieP\", \"bbox\": [42, 62, 55, 71]}, {\"cell\": \"2.94\", \"bbox\": [91, 62, 106, 71]}, {\"cell\": \"predicted transcriptional regulator\", \"bbox\": [139, 62, 250, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 75, 28, 84]}, {\"cell\": \"nanR\", \"bbox\": [40, 75, 57, 84]}, {\"cell\": \"2.41\", \"bbox\": [91, 75, 106, 84]}, {\"cell\": \"transcriptional regulator NanR\", \"bbox\": [139, 75, 237, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 88, 28, 97]}, {\"cell\": \"hha\", \"bbox\": [41, 88, 56, 97]}, {\"cell\": \"2.34\", \"bbox\": [91, 88, 106, 97]}, {\"cell\": \"modulator of gene expression, with H-NS\", \"bbox\": [139, 88, 275, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 101, 28, 111]}, {\"cell\": \"ydgT\", \"bbox\": [40, 101, 57, 111]}, {\"cell\": \"1.82\", \"bbox\": [91, 101, 106, 111]}, {\"cell\": \"H-NS and StpA-binding protein\", \"bbox\": [139, 101, 242, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 114, 28, 124]}, {\"cell\": \"thrL\", \"bbox\": [42, 114, 55, 124]}, {\"cell\": \"1.73\", \"bbox\": [91, 114, 106, 124]}, {\"cell\": \"thr operon leader peptide\", \"bbox\": [139, 114, 225, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 128, 28, 137]}, {\"cell\": \"ygeR\", \"bbox\": [40, 128, 57, 137]}, {\"cell\": \"1.72\", \"bbox\": [91, 128, 106, 137]}, {\"cell\": \"transcriptional regulator\", \"bbox\": [139, 128, 217, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 141, 28, 150]}, {\"cell\": \"hisH\", \"bbox\": [41, 141, 56, 150]}, {\"cell\": \"1.68\", \"bbox\": [91, 141, 106, 150]}, {\"cell\": \"imidazole glycerol phosphate synthase subunit HisH\", \"bbox\": [139, 141, 309, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 154, 28, 163]}, {\"cell\": \"fold\", \"bbox\": [42, 154, 55, 163]}, {\"cell\": \"1.67\", \"bbox\": [91, 154, 106, 163]}, {\"cell\": \"bifunctional 5,10-methylene-tetrahydrofolate dehydrogenase/5,10-methylene-tetrahydrofolate cyclohydrolase\", \"bbox\": [139, 154, 440, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 176, 28, 186]}, {\"cell\": \"fruR\", \"bbox\": [41, 176, 56, 186]}, {\"cell\": \"1.67\", \"bbox\": [91, 176, 106, 186]}, {\"cell\": \"transcriptional dual regulator\", \"bbox\": [139, 176, 233, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 189, 28, 199]}, {\"cell\": \"mprA\", \"bbox\": [39, 189, 58, 199]}, {\"cell\": \"1.67\", \"bbox\": [91, 189, 106, 199]}, {\"cell\": \"transcriptional repressor of microcin B17 synthesis and multidrug efflux\", \"bbox\": [139, 189, 370, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 202, 28, 212]}, {\"cell\": \"mtr\", \"bbox\": [42, 202, 55, 212]}, {\"cell\": \"1.66\", \"bbox\": [91, 202, 106, 212]}, {\"cell\": \"tryptophan transporter of high affinity\", \"bbox\": [139, 202, 263, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 216, 28, 225]}, {\"cell\": \"yddM\", \"bbox\": [39, 216, 58, 225]}, {\"cell\": \"1.66\", \"bbox\": [91, 216, 106, 225]}, {\"cell\": \"predicted transcriptional regulator\", \"bbox\": [139, 216, 250, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 229, 28, 238]}, {\"cell\": \"dcuR\", \"bbox\": [40, 229, 57, 238]}, {\"cell\": \"1.65\", \"bbox\": [91, 229, 106, 238]}, {\"cell\": \"response regulator in two-component regulatory system\", \"bbox\": [139, 229, 323, 238]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 242, 28, 252]}, {\"cell\": \"ytfH\", \"bbox\": [41, 242, 56, 252]}, {\"cell\": \"1.64\", \"bbox\": [91, 242, 106, 252]}, {\"cell\": \"predicted transcriptional regulator\", \"bbox\": [139, 242, 250, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 255, 28, 265]}, {\"cell\": \"polA\", \"bbox\": [41, 255, 56, 265]}, {\"cell\": \"1.63\", \"bbox\": [91, 255, 106, 265]}, {\"cell\": \"DNA polymerase I\", \"bbox\": [139, 255, 199, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 269, 28, 278]}, {\"cell\": \"trpR\", \"bbox\": [41, 269, 56, 278]}, {\"cell\": \"1.63\", \"bbox\": [91, 269, 106, 278]}, {\"cell\": \"Trp operon repressor\", \"bbox\": [139, 269, 208, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 282, 28, 291]}, {\"cell\": \"sstT\", \"bbox\": [42, 282, 55, 291]}, {\"cell\": \"1.61\", \"bbox\": [91, 282, 106, 291]}, {\"cell\": \"sodium:serine/threonine symporter\", \"bbox\": [139, 282, 253, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 295, 28, 304]}, {\"cell\": \"ychA\", \"bbox\": [40, 295, 57, 304]}, {\"cell\": \"1.61\", \"bbox\": [91, 295, 106, 304]}, {\"cell\": \"predicted transcriptional regulator\", \"bbox\": [139, 295, 250, 304]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 308, 28, 318]}, {\"cell\": \"gntR\", \"bbox\": [40, 308, 57, 318]}, {\"cell\": \"1.55\", \"bbox\": [91, 308, 106, 318]}, {\"cell\": \"transcriptional repressor\", \"bbox\": [139, 308, 217, 318]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 321, 28, 331]}, {\"cell\": \"allR\", \"bbox\": [42, 321, 55, 331]}, {\"cell\": \"1.54\", \"bbox\": [91, 321, 106, 331]}, {\"cell\": \"transcriptional repressor\", \"bbox\": [139, 321, 217, 331]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 335, 28, 344]}, {\"cell\": \"slyA\", \"bbox\": [42, 335, 55, 344]}, {\"cell\": \"1.52\", \"bbox\": [91, 335, 106, 344]}, {\"cell\": \"transcriptional regulator SlyA\", \"bbox\": [139, 335, 233, 344]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 348, 28, 357]}, {\"cell\": \"kdpD\", \"bbox\": [39, 348, 58, 357]}, {\"cell\": \"1.51\", \"bbox\": [91, 348, 106, 357]}, {\"cell\": \"fused sensory histidine kinase in two-component regulatory system with KdpE\", \"bbox\": [139, 348, 394, 357]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 361, 28, 370]}, {\"cell\": \"yhiF\", \"bbox\": [41, 361, 56, 370]}, {\"cell\": \"1.51\", \"bbox\": [91, 361, 106, 370]}, {\"cell\": \"predicted transcriptional regulator\", \"bbox\": [139, 361, 250, 370]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2848244_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
ElementReference ConcentrationEFIgeo
[EMPTY_CELL](mg/kg) [18]MinMaxMeanCategoryMinMaxMeanCategory
ICP-MS (n = 13)
Pb600.59639[EMPTY_CELL]extr. high−1.308.785.95extreme poll
Ni950.561.26[EMPTY_CELL]minimal−1.36−0.20−0.65unpolluted
Zn1040.481.41[EMPTY_CELL]minimal−1.58−0.04−1.15unpolluted
XRF (n = 91)
Pb600.20400[EMPTY_CELL]very high−2.858.114.50heavy/extreme
Ni950.572.66[EMPTY_CELL]minimal−1.340.87−0.03unpolluted
Zn1040.466.66[EMPTY_CELL]minimal−1.672.20−0.85unpolluted
HYBRID (n = 91)
Pb600.711402[EMPTY_CELL]extr. high−1.049.926.31extreme poll
Ni950.381.76[EMPTY_CELL]minimal−1.940.28−0.63unpolluted
Zn1040.395.77[EMPTY_CELL]minimal−1.881.99−1.06unpolluted
\", \"cells\": [{\"cell\": \"Element\", \"bbox\": [8, 9, 40, 19]}, {\"cell\": \"Reference Concentration\", \"bbox\": [48, 4, 102, 24]}, {\"cell\": \"EF\", \"bbox\": [170, 10, 181, 19]}, {\"cell\": \"Igeo\", \"bbox\": [324, 10, 339, 20]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"(mg/kg) [18]\", \"bbox\": [50, 28, 96, 38]}, {\"cell\": \"Min\", \"bbox\": [110, 28, 128, 38]}, {\"cell\": \"Max\", \"bbox\": [143, 28, 162, 38]}, {\"cell\": \"Mean\", \"bbox\": [174, 28, 197, 38]}, {\"cell\": \"Category\", \"bbox\": [208, 28, 243, 38]}, {\"cell\": \"Min\", \"bbox\": [257, 28, 274, 38]}, {\"cell\": \"Max\", \"bbox\": [290, 28, 308, 38]}, {\"cell\": \"Mean\", \"bbox\": [324, 28, 347, 38]}, {\"cell\": \"Category\", \"bbox\": [367, 28, 402, 38]}, {\"cell\": \"ICP-MS (n = 13)\", \"bbox\": [8, 43, 67, 53]}, {\"cell\": \"Pb\", \"bbox\": [18, 57, 29, 67]}, {\"cell\": \"60\", \"bbox\": [68, 57, 78, 67]}, {\"cell\": \"0.59\", \"bbox\": [111, 57, 127, 67]}, {\"cell\": \"639\", \"bbox\": [145, 57, 160, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [181, 57, 191, 67]}, {\"cell\": \"extr. high\", \"bbox\": [208, 57, 244, 67]}, {\"cell\": \"−1.30\", \"bbox\": [254, 53, 277, 67]}, {\"cell\": \"8.78\", \"bbox\": [291, 57, 307, 67]}, {\"cell\": \"5.95\", \"bbox\": [327, 57, 343, 67]}, {\"cell\": \"extreme poll\", \"bbox\": [362, 57, 408, 67]}, {\"cell\": \"Ni\", \"bbox\": [18, 67, 29, 77]}, {\"cell\": \"95\", \"bbox\": [68, 67, 78, 77]}, {\"cell\": \"0.56\", \"bbox\": [111, 67, 127, 77]}, {\"cell\": \"1.26\", \"bbox\": [144, 67, 161, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [178, 67, 194, 77]}, {\"cell\": \"minimal\", \"bbox\": [210, 67, 242, 77]}, {\"cell\": \"−1.36\", \"bbox\": [254, 64, 277, 77]}, {\"cell\": \"−0.20\", \"bbox\": [287, 64, 310, 77]}, {\"cell\": \"−0.65\", \"bbox\": [324, 64, 347, 77]}, {\"cell\": \"unpolluted\", \"bbox\": [364, 67, 406, 77]}, {\"cell\": \"Zn\", \"bbox\": [17, 77, 29, 87]}, {\"cell\": \"104\", \"bbox\": [66, 77, 80, 87]}, {\"cell\": \"0.48\", \"bbox\": [111, 77, 127, 87]}, {\"cell\": \"1.41\", \"bbox\": [144, 77, 161, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [178, 77, 194, 87]}, {\"cell\": \"minimal\", \"bbox\": [210, 77, 242, 87]}, {\"cell\": \"−1.58\", \"bbox\": [254, 76, 277, 88]}, {\"cell\": \"−0.04\", \"bbox\": [287, 76, 310, 88]}, {\"cell\": \"−1.15\", \"bbox\": [324, 76, 347, 88]}, {\"cell\": \"unpolluted\", \"bbox\": [364, 77, 406, 87]}, {\"cell\": \"XRF (n = 91)\", \"bbox\": [8, 91, 54, 101]}, {\"cell\": \"Pb\", \"bbox\": [18, 105, 29, 115]}, {\"cell\": \"60\", \"bbox\": [68, 105, 78, 115]}, {\"cell\": \"0.20\", \"bbox\": [111, 105, 127, 115]}, {\"cell\": \"400\", \"bbox\": [145, 105, 160, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [181, 105, 191, 115]}, {\"cell\": \"very high\", \"bbox\": [207, 105, 244, 115]}, {\"cell\": \"−2.85\", \"bbox\": [254, 101, 277, 115]}, {\"cell\": \"8.11\", \"bbox\": [291, 105, 307, 115]}, {\"cell\": \"4.50\", \"bbox\": [327, 105, 343, 115]}, {\"cell\": \"heavy/extreme\", \"bbox\": [360, 105, 416, 115]}, {\"cell\": \"Ni\", \"bbox\": [18, 115, 29, 125]}, {\"cell\": \"95\", \"bbox\": [68, 115, 78, 125]}, {\"cell\": \"0.57\", \"bbox\": [111, 115, 127, 125]}, {\"cell\": \"2.66\", \"bbox\": [144, 115, 161, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [178, 115, 194, 125]}, {\"cell\": \"minimal\", \"bbox\": [210, 115, 242, 125]}, {\"cell\": \"−1.34\", \"bbox\": [254, 113, 277, 125]}, {\"cell\": \"0.87\", \"bbox\": [291, 115, 307, 125]}, {\"cell\": \"−0.03\", \"bbox\": [324, 113, 347, 125]}, {\"cell\": \"unpolluted\", \"bbox\": [364, 115, 406, 125]}, {\"cell\": \"Zn\", \"bbox\": [17, 125, 29, 135]}, {\"cell\": \"104\", \"bbox\": [66, 125, 80, 135]}, {\"cell\": \"0.46\", \"bbox\": [111, 125, 127, 135]}, {\"cell\": \"6.66\", \"bbox\": [144, 125, 161, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [178, 125, 194, 135]}, {\"cell\": \"minimal\", \"bbox\": [210, 125, 242, 135]}, {\"cell\": \"−1.67\", \"bbox\": [254, 125, 277, 137]}, {\"cell\": \"2.20\", \"bbox\": [291, 125, 307, 135]}, {\"cell\": \"−0.85\", \"bbox\": [324, 125, 347, 137]}, {\"cell\": \"unpolluted\", \"bbox\": [364, 125, 406, 135]}, {\"cell\": \"HYBRID (n = 91)\", \"bbox\": [8, 139, 70, 149]}, {\"cell\": \"Pb\", \"bbox\": [18, 153, 29, 164]}, {\"cell\": \"60\", \"bbox\": [68, 153, 78, 164]}, {\"cell\": \"0.71\", \"bbox\": [111, 153, 127, 164]}, {\"cell\": \"1402\", \"bbox\": [143, 153, 162, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [179, 153, 193, 164]}, {\"cell\": \"extr. high\", \"bbox\": [208, 153, 244, 164]}, {\"cell\": \"−1.04\", \"bbox\": [254, 149, 277, 164]}, {\"cell\": \"9.92\", \"bbox\": [291, 153, 307, 164]}, {\"cell\": \"6.31\", \"bbox\": [327, 153, 343, 164]}, {\"cell\": \"extreme poll\", \"bbox\": [362, 153, 408, 164]}, {\"cell\": \"Ni\", \"bbox\": [18, 163, 29, 174]}, {\"cell\": \"95\", \"bbox\": [68, 163, 78, 174]}, {\"cell\": \"0.38\", \"bbox\": [111, 163, 127, 174]}, {\"cell\": \"1.76\", \"bbox\": [144, 163, 161, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [178, 163, 194, 174]}, {\"cell\": \"minimal\", \"bbox\": [210, 163, 242, 174]}, {\"cell\": \"−1.94\", \"bbox\": [254, 161, 277, 174]}, {\"cell\": \"0.28\", \"bbox\": [291, 163, 307, 174]}, {\"cell\": \"−0.63\", \"bbox\": [324, 161, 347, 174]}, {\"cell\": \"unpolluted\", \"bbox\": [364, 163, 406, 174]}, {\"cell\": \"Zn\", \"bbox\": [17, 173, 29, 183]}, {\"cell\": \"104\", \"bbox\": [66, 173, 80, 183]}, {\"cell\": \"0.39\", \"bbox\": [111, 173, 127, 183]}, {\"cell\": \"5.77\", \"bbox\": [144, 173, 161, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [178, 173, 194, 183]}, {\"cell\": \"minimal\", \"bbox\": [210, 173, 242, 183]}, {\"cell\": \"−1.88\", \"bbox\": [254, 173, 277, 185]}, {\"cell\": \"1.99\", \"bbox\": [291, 173, 307, 183]}, {\"cell\": \"−1.06\", \"bbox\": [324, 173, 347, 185]}, {\"cell\": \"unpolluted\", \"bbox\": [364, 173, 406, 183]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5551136_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariablesPatients with osteoporosisPatients without osteoporosisCompared to non- osteoporosis
MigrainePYsRateMigrainePYsRateCrudeHRa (95 % CI)Adjusted HRa (95 % CI)
Overall1110324,126.20[EMPTY_CELL]751604,550.991.242.48 (2.25–2.73)c1.37 (1.23–1.51)c
Gender[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Men10445,604.93[EMPTY_CELL]78106,313.430.732.80 (2.04–3.85)c1.66 (1.19–2.31)d
Women1006278,521.27[EMPTY_CELL]573498,237.561.352.39 (2.17–2.66)c1.34 (1.19–1.49)c
Stratify by age[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
20–4925264,474.34[EMPTY_CELL]130109,506.021.192.97 (2.39–3.68)c1.46 (1.17–1.82)c
≥50858259,651.83[EMPTY_CELL]621495,044.971.252.37 (2.12–2.64)c1.34 (1.20–1.50)c
Comorbidityb[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
No1920,949.87[EMPTY_CELL]43127,923.680.342.41 (1.40–4.14)e1.78 (1.03–3.06)f
Yes1091303,176.33[EMPTY_CELL]708476,627.311.492.18 (1.97–2.41)c1.34 (1.22–1.49)c
\", \"cells\": [{\"cell\": \"Variables\", \"bbox\": [1, 4, 34, 14]}, {\"cell\": \"Patients with osteoporosis\", \"bbox\": [63, 4, 156, 14]}, {\"cell\": \"Patients without osteoporosis\", \"bbox\": [197, 4, 302, 14]}, {\"cell\": \"Compared to non- osteoporosis\", \"bbox\": [330, 4, 441, 14]}, {\"cell\": \"Migraine\", \"bbox\": [63, 20, 96, 30]}, {\"cell\": \"PYs\", \"bbox\": [112, 20, 126, 30]}, {\"cell\": \"Rate\", \"bbox\": [163, 20, 181, 30]}, {\"cell\": \"Migraine\", \"bbox\": [197, 20, 229, 30]}, {\"cell\": \"PYs\", \"bbox\": [245, 20, 259, 30]}, {\"cell\": \"Rate\", \"bbox\": [297, 20, 314, 30]}, {\"cell\": \"CrudeHRa (95 % CI)\", \"bbox\": [330, 19, 397, 30]}, {\"cell\": \"Adjusted HRa (95 % CI)\", \"bbox\": [413, 19, 482, 39]}, {\"cell\": \"Overall\", \"bbox\": [0, 47, 25, 57]}, {\"cell\": \"1110\", \"bbox\": [63, 47, 81, 57]}, {\"cell\": \"324,126.20\", \"bbox\": [112, 47, 148, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 47, 178, 57]}, {\"cell\": \"751\", \"bbox\": [196, 47, 210, 57]}, {\"cell\": \"604,550.99\", \"bbox\": [245, 47, 281, 57]}, {\"cell\": \"1.24\", \"bbox\": [297, 47, 312, 57]}, {\"cell\": \"2.48 (2.25–2.73)c\", \"bbox\": [330, 46, 384, 57]}, {\"cell\": \"1.37 (1.23–1.51)c\", \"bbox\": [413, 46, 467, 57]}, {\"cell\": \"Gender\", \"bbox\": [1, 59, 26, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Men\", \"bbox\": [5, 71, 22, 81]}, {\"cell\": \"104\", \"bbox\": [67, 71, 81, 81]}, {\"cell\": \"45,604.93\", \"bbox\": [116, 71, 148, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 71, 178, 81]}, {\"cell\": \"78\", \"bbox\": [200, 71, 210, 81]}, {\"cell\": \"106,313.43\", \"bbox\": [245, 71, 281, 81]}, {\"cell\": \"0.73\", \"bbox\": [297, 71, 312, 81]}, {\"cell\": \"2.80 (2.04–3.85)c\", \"bbox\": [330, 70, 384, 81]}, {\"cell\": \"1.66 (1.19–2.31)d\", \"bbox\": [413, 70, 467, 81]}, {\"cell\": \" Women\", \"bbox\": [5, 83, 32, 93]}, {\"cell\": \"1006\", \"bbox\": [63, 83, 81, 93]}, {\"cell\": \"278,521.27\", \"bbox\": [112, 83, 148, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 83, 178, 93]}, {\"cell\": \"573\", \"bbox\": [197, 83, 210, 93]}, {\"cell\": \"498,237.56\", \"bbox\": [245, 83, 281, 93]}, {\"cell\": \"1.35\", \"bbox\": [297, 83, 312, 93]}, {\"cell\": \"2.39 (2.17–2.66)c\", \"bbox\": [330, 82, 384, 93]}, {\"cell\": \"1.34 (1.19–1.49)c\", \"bbox\": [413, 82, 467, 93]}, {\"cell\": \"Stratify by age\", \"bbox\": [1, 96, 48, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 20–49\", \"bbox\": [5, 108, 27, 117]}, {\"cell\": \"252\", \"bbox\": [67, 108, 81, 117]}, {\"cell\": \"64,474.34\", \"bbox\": [116, 108, 148, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 108, 178, 117]}, {\"cell\": \"130\", \"bbox\": [197, 108, 210, 117]}, {\"cell\": \"109,506.02\", \"bbox\": [245, 108, 281, 117]}, {\"cell\": \"1.19\", \"bbox\": [297, 108, 312, 117]}, {\"cell\": \"2.97 (2.39–3.68)c\", \"bbox\": [330, 106, 384, 117]}, {\"cell\": \"1.46 (1.17–1.82)c\", \"bbox\": [413, 106, 467, 117]}, {\"cell\": \" ≥50\", \"bbox\": [5, 120, 21, 129]}, {\"cell\": \"858\", \"bbox\": [67, 120, 81, 129]}, {\"cell\": \"259,651.83\", \"bbox\": [112, 120, 148, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 120, 178, 129]}, {\"cell\": \"621\", \"bbox\": [197, 120, 210, 129]}, {\"cell\": \"495,044.97\", \"bbox\": [245, 120, 281, 129]}, {\"cell\": \"1.25\", \"bbox\": [297, 120, 312, 129]}, {\"cell\": \"2.37 (2.12–2.64)c\", \"bbox\": [330, 118, 384, 129]}, {\"cell\": \"1.34 (1.20–1.50)c\", \"bbox\": [413, 118, 467, 129]}, {\"cell\": \"Comorbidityb\", \"bbox\": [1, 130, 46, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" No\", \"bbox\": [5, 144, 17, 153]}, {\"cell\": \"19\", \"bbox\": [71, 144, 81, 153]}, {\"cell\": \"20,949.87\", \"bbox\": [116, 144, 148, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 144, 178, 153]}, {\"cell\": \"43\", \"bbox\": [200, 144, 210, 153]}, {\"cell\": \"127,923.68\", \"bbox\": [245, 144, 281, 153]}, {\"cell\": \"0.34\", \"bbox\": [297, 144, 312, 153]}, {\"cell\": \"2.41 (1.40–4.14)e\", \"bbox\": [330, 142, 384, 153]}, {\"cell\": \"1.78 (1.03–3.06)f\", \"bbox\": [413, 142, 466, 153]}, {\"cell\": \" Yes\", \"bbox\": [5, 156, 17, 166]}, {\"cell\": \"1091\", \"bbox\": [63, 156, 81, 166]}, {\"cell\": \"303,176.33\", \"bbox\": [112, 156, 148, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 156, 178, 166]}, {\"cell\": \"708\", \"bbox\": [197, 156, 210, 166]}, {\"cell\": \"476,627.31\", \"bbox\": [245, 156, 281, 166]}, {\"cell\": \"1.49\", \"bbox\": [297, 156, 312, 166]}, {\"cell\": \"2.18 (1.97–2.41)c\", \"bbox\": [330, 155, 384, 166]}, {\"cell\": \"1.34 (1.22–1.49)c\", \"bbox\": [413, 155, 467, 166]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4993742_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
IndicatorType of indicator
1. ANC utilisation[EMPTY_CELL]
Received at least three ANC visits (%)[EMPTY_CELL]
Received ANC visit in first trimester (%)[EMPTY_CELL]
Number of ANC consultations (visits)[EMPTY_CELL]
Received visit from ASHA during pregnancy (%)[EMPTY_CELL]
2. ANC content of care[EMPTY_CELL]
Fully immunised with tetanus toxoid (%)[EMPTY_CELL]
Received iron supplementation during pregnancy (%)[EMPTY_CELL]
Took iron supplementation during pregnancy for at least 100 days (%)[EMPTY_CELL]
Received test results for syphilis received (%)[EMPTY_CELL]
Abdominal examination during ANC (%)[EMPTY_CELL]
Received a drug for intestinal worms during pregnancy (%)[EMPTY_CELL]
Received a drug to prevent malaria (%)[EMPTY_CELL]
Multiple birth pregnancy detected during ANC (%)[EMPTY_CELL]
ANC content of care score of six items (index 0 to 1)[EMPTY_CELL]
3. ANC knowledge and preparedness[EMPTY_CELL]
Mother knowledge of pregnancy complications (index 0 to 1)[EMPTY_CELL]
Mother knowledge of signs of delivery complications (index 0 to 1)[EMPTY_CELL]
Birth preparedness (financial, transport, blood donor, attendant, safe delivery kit) (index 0 to 1)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Indicator\", \"bbox\": [1, 4, 30, 13]}, {\"cell\": \"Type of indicator\", \"bbox\": [174, 4, 231, 13]}, {\"cell\": \"1. ANC utilisation\", \"bbox\": [1, 17, 57, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Received at least three ANC visits (%)\", \"bbox\": [1, 31, 122, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 31, 232, 41]}, {\"cell\": \"Received ANC visit in first trimester (%)\", \"bbox\": [1, 45, 127, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 45, 232, 55]}, {\"cell\": \"Number of ANC consultations (visits)\", \"bbox\": [1, 59, 120, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 59, 232, 69]}, {\"cell\": \"Received visit from ASHA during pregnancy (%)\", \"bbox\": [1, 73, 155, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 73, 232, 83]}, {\"cell\": \"2. ANC content of care\", \"bbox\": [1, 87, 76, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Fully immunised with tetanus toxoid (%)\", \"bbox\": [1, 101, 133, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 101, 224, 111]}, {\"cell\": \"Received iron supplementation during pregnancy (%)\", \"bbox\": [1, 115, 126, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 115, 224, 125]}, {\"cell\": \"Took iron supplementation during pregnancy for at least 100 days (%)\", \"bbox\": [1, 138, 149, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 138, 224, 148]}, {\"cell\": \"Received test results for syphilis received (%)\", \"bbox\": [1, 161, 145, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 161, 224, 171]}, {\"cell\": \"Abdominal examination during ANC (%)\", \"bbox\": [1, 175, 132, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 175, 224, 185]}, {\"cell\": \"Received a drug for intestinal worms during pregnancy (%)\", \"bbox\": [1, 189, 144, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 189, 224, 199]}, {\"cell\": \"Received a drug to prevent malaria (%)\", \"bbox\": [1, 212, 128, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 212, 224, 222]}, {\"cell\": \"Multiple birth pregnancy detected during ANC (%)\", \"bbox\": [1, 226, 165, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 226, 224, 236]}, {\"cell\": \"ANC content of care score of six items (index 0 to 1)\", \"bbox\": [1, 240, 126, 259]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 240, 224, 250]}, {\"cell\": \"3. ANC knowledge and preparedness\", \"bbox\": [1, 263, 122, 273]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Mother knowledge of pregnancy complications (index 0 to 1)\", \"bbox\": [1, 277, 155, 296]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 277, 236, 287]}, {\"cell\": \"Mother knowledge of signs of delivery complications (index 0 to 1)\", \"bbox\": [1, 300, 127, 319]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 300, 236, 310]}, {\"cell\": \"Birth preparedness (financial, transport, blood donor, attendant, safe delivery kit) (index 0 to 1)\", \"bbox\": [1, 323, 157, 342]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 323, 235, 333]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4448271_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
GenomeaTCS genesNon-hybrid HKsHybrid HKsPPsRRs% hybrid HKs% TM HKs% orphan% paired% complexIntricate foci
Mx28210337513726.44735[EMPTY_CELL]308
Mf2889849313833.34134[EMPTY_CELL]339
Cc30610656214234.63834[EMPTY_CELL]318
Sa33812470414236.14034[EMPTY_CELL]329
AdC1886817110220.24843[EMPTY_CELL]222
Ad1187691919821.65040[EMPTY_CELL]262
AF2077235010033.35028[EMPTY_CELL]395
AK1917218010120.04941[EMPTY_CELL]242
Sc27310150112133.14137[EMPTY_CELL]379
Ca30110950214031.445N/A[EMPTY_CELL]N/AN/A
Ho191535138449.03535[EMPTY_CELL]275
Pp160602656930.242N/A[EMPTY_CELL]N/AN/A
Myxobacterial mean:242.78639.82.3114.530.84436[EMPTY_CELL]305.9
Bn92321624233.37337[EMPTY_CELL]184
Bacterial mean:b3114.83.30.615.618.263.546[EMPTY_CELL]140.3
\", \"cells\": [{\"cell\": \"Genomea\", \"bbox\": [1, 2, 33, 13]}, {\"cell\": \"TCS genes\", \"bbox\": [59, 4, 94, 13]}, {\"cell\": \"Non-hybrid HKs\", \"bbox\": [99, 4, 151, 13]}, {\"cell\": \"Hybrid HKs\", \"bbox\": [156, 4, 193, 13]}, {\"cell\": \"PPs\", \"bbox\": [198, 4, 211, 13]}, {\"cell\": \"RRs\", \"bbox\": [216, 4, 229, 13]}, {\"cell\": \"% hybrid HKs\", \"bbox\": [239, 4, 284, 13]}, {\"cell\": \"% TM HKs\", \"bbox\": [289, 4, 323, 13]}, {\"cell\": \"% orphan\", \"bbox\": [328, 4, 361, 13]}, {\"cell\": \"% paired\", \"bbox\": [366, 4, 396, 13]}, {\"cell\": \"% complex\", \"bbox\": [401, 4, 438, 13]}, {\"cell\": \"Intricate foci\", \"bbox\": [443, 4, 484, 13]}, {\"cell\": \"Mx\", \"bbox\": [1, 17, 12, 26]}, {\"cell\": \"282\", \"bbox\": [67, 17, 81, 27]}, {\"cell\": \"103\", \"bbox\": [116, 17, 129, 27]}, {\"cell\": \"37\", \"bbox\": [167, 17, 177, 27]}, {\"cell\": \"5\", \"bbox\": [199, 17, 205, 27]}, {\"cell\": \"137\", \"bbox\": [216, 17, 229, 27]}, {\"cell\": \"26.4\", \"bbox\": [254, 17, 269, 27]}, {\"cell\": \"47\", \"bbox\": [298, 17, 308, 27]}, {\"cell\": \"35\", \"bbox\": [328, 17, 337, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 17, 375, 27]}, {\"cell\": \"30\", \"bbox\": [401, 17, 410, 27]}, {\"cell\": \"8\", \"bbox\": [443, 17, 449, 27]}, {\"cell\": \"Mf\", \"bbox\": [1, 31, 10, 40]}, {\"cell\": \"288\", \"bbox\": [67, 31, 81, 41]}, {\"cell\": \"98\", \"bbox\": [120, 31, 129, 41]}, {\"cell\": \"49\", \"bbox\": [167, 31, 177, 41]}, {\"cell\": \"3\", \"bbox\": [199, 31, 205, 41]}, {\"cell\": \"138\", \"bbox\": [216, 31, 229, 41]}, {\"cell\": \"33.3\", \"bbox\": [254, 31, 269, 41]}, {\"cell\": \"41\", \"bbox\": [298, 31, 308, 41]}, {\"cell\": \"34\", \"bbox\": [328, 31, 337, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 31, 375, 41]}, {\"cell\": \"33\", \"bbox\": [401, 31, 410, 41]}, {\"cell\": \"9\", \"bbox\": [443, 31, 449, 41]}, {\"cell\": \"Cc\", \"bbox\": [1, 45, 10, 54]}, {\"cell\": \"306\", \"bbox\": [67, 45, 81, 55]}, {\"cell\": \"106\", \"bbox\": [116, 45, 129, 55]}, {\"cell\": \"56\", \"bbox\": [167, 45, 177, 55]}, {\"cell\": \"2\", \"bbox\": [199, 45, 205, 55]}, {\"cell\": \"142\", \"bbox\": [216, 45, 229, 55]}, {\"cell\": \"34.6\", \"bbox\": [254, 45, 269, 55]}, {\"cell\": \"38\", \"bbox\": [298, 45, 308, 55]}, {\"cell\": \"34\", \"bbox\": [328, 45, 337, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 45, 375, 55]}, {\"cell\": \"31\", \"bbox\": [401, 45, 410, 55]}, {\"cell\": \"8\", \"bbox\": [443, 45, 449, 55]}, {\"cell\": \"Sa\", \"bbox\": [1, 59, 10, 68]}, {\"cell\": \"338\", \"bbox\": [67, 59, 81, 69]}, {\"cell\": \"124\", \"bbox\": [116, 59, 129, 69]}, {\"cell\": \"70\", \"bbox\": [167, 59, 177, 69]}, {\"cell\": \"4\", \"bbox\": [199, 59, 205, 69]}, {\"cell\": \"142\", \"bbox\": [216, 59, 229, 69]}, {\"cell\": \"36.1\", \"bbox\": [254, 59, 269, 69]}, {\"cell\": \"40\", \"bbox\": [298, 59, 308, 69]}, {\"cell\": \"34\", \"bbox\": [328, 59, 337, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 59, 375, 69]}, {\"cell\": \"32\", \"bbox\": [401, 59, 410, 69]}, {\"cell\": \"9\", \"bbox\": [443, 59, 449, 69]}, {\"cell\": \"AdC\", \"bbox\": [1, 73, 15, 82]}, {\"cell\": \"188\", \"bbox\": [67, 73, 81, 83]}, {\"cell\": \"68\", \"bbox\": [120, 73, 129, 83]}, {\"cell\": \"17\", \"bbox\": [167, 73, 177, 83]}, {\"cell\": \"1\", \"bbox\": [199, 73, 205, 83]}, {\"cell\": \"102\", \"bbox\": [216, 73, 229, 83]}, {\"cell\": \"20.2\", \"bbox\": [254, 73, 269, 83]}, {\"cell\": \"48\", \"bbox\": [298, 73, 308, 83]}, {\"cell\": \"43\", \"bbox\": [328, 73, 337, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 73, 375, 83]}, {\"cell\": \"22\", \"bbox\": [401, 73, 410, 83]}, {\"cell\": \"2\", \"bbox\": [443, 73, 449, 83]}, {\"cell\": \"Ad1\", \"bbox\": [1, 87, 14, 96]}, {\"cell\": \"187\", \"bbox\": [67, 87, 81, 97]}, {\"cell\": \"69\", \"bbox\": [120, 87, 129, 97]}, {\"cell\": \"19\", \"bbox\": [167, 87, 177, 97]}, {\"cell\": \"1\", \"bbox\": [199, 87, 205, 97]}, {\"cell\": \"98\", 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\"bbox\": [1, 115, 10, 124]}, {\"cell\": \"191\", \"bbox\": [67, 115, 81, 125]}, {\"cell\": \"72\", \"bbox\": [120, 115, 129, 125]}, {\"cell\": \"18\", \"bbox\": [167, 115, 177, 125]}, {\"cell\": \"0\", \"bbox\": [199, 115, 205, 125]}, {\"cell\": \"101\", \"bbox\": [216, 115, 229, 125]}, {\"cell\": \"20.0\", \"bbox\": [254, 115, 269, 125]}, {\"cell\": \"49\", \"bbox\": [298, 115, 308, 125]}, {\"cell\": \"41\", \"bbox\": [328, 115, 337, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 115, 375, 125]}, {\"cell\": \"24\", \"bbox\": [401, 115, 410, 125]}, {\"cell\": \"2\", \"bbox\": [443, 115, 449, 125]}, {\"cell\": \"Sc\", \"bbox\": [1, 129, 9, 138]}, {\"cell\": \"273\", \"bbox\": [67, 129, 81, 139]}, {\"cell\": \"101\", \"bbox\": [116, 129, 129, 139]}, {\"cell\": \"50\", \"bbox\": [167, 129, 177, 139]}, {\"cell\": \"1\", \"bbox\": [199, 129, 205, 139]}, {\"cell\": \"121\", \"bbox\": [216, 129, 229, 139]}, {\"cell\": \"33.1\", \"bbox\": [254, 129, 269, 139]}, {\"cell\": \"41\", 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\"53\", \"bbox\": [120, 157, 129, 167]}, {\"cell\": \"51\", \"bbox\": [167, 157, 177, 167]}, {\"cell\": \"3\", \"bbox\": [199, 157, 205, 167]}, {\"cell\": \"84\", \"bbox\": [220, 157, 229, 167]}, {\"cell\": \"49.0\", \"bbox\": [254, 157, 269, 167]}, {\"cell\": \"35\", \"bbox\": [298, 157, 308, 167]}, {\"cell\": \"35\", \"bbox\": [328, 157, 337, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 157, 375, 167]}, {\"cell\": \"27\", \"bbox\": [401, 157, 410, 167]}, {\"cell\": \"5\", \"bbox\": [443, 157, 449, 167]}, {\"cell\": \"Pp\", \"bbox\": [1, 171, 10, 180]}, {\"cell\": \"160\", \"bbox\": [67, 171, 81, 181]}, {\"cell\": \"60\", \"bbox\": [120, 171, 129, 181]}, {\"cell\": \"26\", \"bbox\": [167, 171, 177, 181]}, {\"cell\": \"5\", \"bbox\": [199, 171, 205, 181]}, {\"cell\": \"69\", \"bbox\": [220, 171, 229, 181]}, {\"cell\": \"30.2\", \"bbox\": [254, 171, 269, 181]}, {\"cell\": \"42\", \"bbox\": [298, 171, 308, 181]}, {\"cell\": \"N/A\", \"bbox\": [328, 171, 342, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 171, 380, 181]}, {\"cell\": \"N/A\", \"bbox\": [401, 171, 415, 181]}, {\"cell\": \"N/A\", \"bbox\": [443, 171, 457, 181]}, {\"cell\": \"Myxobacterial mean:\", \"bbox\": [1, 185, 47, 204]}, {\"cell\": \"242.7\", \"bbox\": [67, 185, 86, 195]}, {\"cell\": \"86\", \"bbox\": [120, 185, 129, 195]}, {\"cell\": \"39.8\", \"bbox\": [167, 185, 182, 195]}, {\"cell\": \"2.3\", \"bbox\": [199, 185, 210, 195]}, {\"cell\": \"114.5\", \"bbox\": [216, 185, 234, 195]}, {\"cell\": \"30.8\", \"bbox\": [254, 185, 269, 195]}, {\"cell\": \"44\", \"bbox\": [298, 185, 308, 195]}, {\"cell\": \"36\", \"bbox\": [328, 185, 337, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 185, 375, 195]}, {\"cell\": \"30\", \"bbox\": [401, 185, 410, 195]}, {\"cell\": \"5.9\", \"bbox\": [443, 185, 454, 195]}, {\"cell\": \"Bn\", \"bbox\": [1, 208, 10, 217]}, {\"cell\": \"92\", \"bbox\": [71, 208, 81, 218]}, {\"cell\": \"32\", \"bbox\": [120, 208, 129, 218]}, {\"cell\": \"16\", \"bbox\": [167, 208, 177, 218]}, {\"cell\": \"2\", \"bbox\": [199, 208, 205, 218]}, {\"cell\": \"42\", \"bbox\": [220, 208, 229, 218]}, {\"cell\": \"33.3\", \"bbox\": [254, 208, 269, 218]}, {\"cell\": \"73\", \"bbox\": [298, 208, 308, 218]}, {\"cell\": \"37\", \"bbox\": [328, 208, 337, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 208, 375, 218]}, {\"cell\": \"18\", \"bbox\": [401, 208, 410, 218]}, {\"cell\": \"4\", \"bbox\": [443, 208, 449, 218]}, {\"cell\": \"Bacterial mean:b\", \"bbox\": [1, 220, 54, 232]}, {\"cell\": \"31\", \"bbox\": [71, 222, 81, 232]}, {\"cell\": \"14.8\", \"bbox\": [120, 222, 134, 232]}, {\"cell\": \"3.3\", \"bbox\": [171, 222, 182, 232]}, {\"cell\": \"0.6\", \"bbox\": [199, 222, 210, 232]}, {\"cell\": \"15.6\", \"bbox\": [220, 222, 234, 232]}, {\"cell\": \"18.2\", \"bbox\": [254, 222, 269, 232]}, {\"cell\": \"63.5\", \"bbox\": [298, 222, 313, 232]}, {\"cell\": \"46\", \"bbox\": [328, 222, 337, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 222, 375, 232]}, {\"cell\": \"14\", \"bbox\": [401, 222, 410, 232]}, {\"cell\": \"0.3\", \"bbox\": [443, 222, 454, 232]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4603909_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
CompoundConcentration (ng/mL)Intra-DayInter-Day
Accuracy (RE, %)Precision (RSD, %)Accuracy (RE, %)Precision (RSD, %)
[EMPTY_CELL]23.0514.391.989.856.29
[EMPTY_CELL]14.121.688.647.18
[EMPTY_CELL]5.628.494.778.03
[EMPTY_CELL]23.5110.403.945.6611.33
[EMPTY_CELL]9.971.335.955.43
[EMPTY_CELL]5.047.302.746.52
[EMPTY_CELL]22.82−2.0310.119.029.31
[EMPTY_CELL]13.736.6311.3312.443
[EMPTY_CELL]9.429.4911.099.75
[EMPTY_CELL]22.6012.421.3810.9513.39
[EMPTY_CELL]12.182.399.765.14
[EMPTY_CELL]5.877.691.195.90
[EMPTY_CELL]22.9412.034.8814.6114.29
[EMPTY_CELL]14.871.1712.999.18
[EMPTY_CELL]12.446.588.215.77
[EMPTY_CELL]23.6212.867.0511.938.80
[EMPTY_CELL]13.933.9710.597.69
[EMPTY_CELL]4.425.632.434.96
[EMPTY_CELL]23.5113.507.8210.3112.88
[EMPTY_CELL]12.882.1410.528.78
[EMPTY_CELL]8.418.575.528.75
\", \"cells\": [{\"cell\": \"Compound\", \"bbox\": [13, 8, 50, 16]}, {\"cell\": \"Concentration (ng/mL)\", \"bbox\": [66, 8, 138, 16]}, {\"cell\": \"Intra-Day\", \"bbox\": [200, 4, 232, 12]}, {\"cell\": \"Inter-Day\", \"bbox\": [348, 4, 380, 12]}, {\"cell\": \"Accuracy (RE, %)\", \"bbox\": [152, 16, 206, 24]}, {\"cell\": \"Precision (RSD, %)\", \"bbox\": [223, 16, 283, 24]}, {\"cell\": \"Accuracy (RE, %)\", \"bbox\": [300, 16, 354, 24]}, {\"cell\": \"Precision (RSD, %)\", \"bbox\": [371, 16, 432, 24]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 36, 55, 45]}, {\"cell\": \"23.05\", \"bbox\": [93, 27, 111, 36]}, {\"cell\": \"14.39\", \"bbox\": [170, 27, 187, 36]}, {\"cell\": \"1.98\", \"bbox\": [246, 28, 260, 36]}, {\"cell\": \"9.85\", \"bbox\": [320, 27, 334, 36]}, {\"cell\": \"6.29\", \"bbox\": [394, 27, 408, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 36, 111, 45]}, {\"cell\": \"14.12\", \"bbox\": [170, 36, 187, 45]}, {\"cell\": \"1.68\", \"bbox\": [246, 36, 260, 45]}, {\"cell\": \"8.64\", \"bbox\": [320, 36, 334, 45]}, {\"cell\": \"7.18\", \"bbox\": [394, 36, 408, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [94, 44, 110, 53]}, {\"cell\": \"5.62\", \"bbox\": [172, 44, 186, 53]}, {\"cell\": \"8.49\", \"bbox\": [246, 44, 260, 53]}, {\"cell\": \"4.77\", \"bbox\": [320, 44, 334, 53]}, {\"cell\": \"8.03\", \"bbox\": [394, 44, 408, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 64, 59, 73]}, {\"cell\": \"23.51\", \"bbox\": [93, 56, 111, 65]}, {\"cell\": \"10.40\", \"bbox\": [170, 56, 187, 65]}, {\"cell\": \"3.94\", \"bbox\": [246, 56, 260, 65]}, {\"cell\": \"5.66\", \"bbox\": [320, 56, 334, 65]}, {\"cell\": \"11.33\", \"bbox\": [393, 56, 410, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 64, 111, 73]}, {\"cell\": \"9.97\", \"bbox\": [172, 64, 186, 73]}, {\"cell\": \"1.33\", \"bbox\": [246, 64, 260, 73]}, {\"cell\": \"5.95\", \"bbox\": [320, 64, 334, 73]}, {\"cell\": \"5.43\", \"bbox\": [394, 64, 408, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [94, 72, 110, 81]}, {\"cell\": \"5.04\", \"bbox\": [172, 72, 186, 81]}, {\"cell\": \"7.30\", \"bbox\": [246, 72, 260, 81]}, {\"cell\": \"2.74\", \"bbox\": [320, 72, 334, 81]}, {\"cell\": \"6.52\", \"bbox\": [394, 72, 408, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 93, 53, 102]}, {\"cell\": \"22.82\", \"bbox\": [93, 84, 111, 93]}, {\"cell\": \"−2.03\", \"bbox\": [169, 84, 189, 93]}, {\"cell\": \"10.11\", \"bbox\": [244, 84, 262, 93]}, {\"cell\": \"9.02\", \"bbox\": [320, 84, 334, 93]}, {\"cell\": \"9.31\", \"bbox\": [394, 84, 408, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 92, 111, 101]}, {\"cell\": \"13.73\", \"bbox\": [170, 92, 187, 101]}, {\"cell\": \"6.63\", \"bbox\": [246, 93, 260, 101]}, {\"cell\": \"11.33\", \"bbox\": [319, 92, 336, 101]}, {\"cell\": \"12.443\", \"bbox\": [391, 92, 412, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [94, 101, 110, 110]}, {\"cell\": \"9.42\", \"bbox\": [172, 101, 186, 110]}, {\"cell\": \"9.49\", \"bbox\": [246, 101, 260, 110]}, {\"cell\": \"11.09\", \"bbox\": [319, 101, 336, 110]}, {\"cell\": \"9.75\", \"bbox\": [394, 101, 408, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 121, 55, 129]}, {\"cell\": \"22.60\", \"bbox\": [93, 113, 111, 121]}, {\"cell\": \"12.42\", \"bbox\": [170, 113, 187, 121]}, {\"cell\": \"1.38\", \"bbox\": [246, 113, 260, 121]}, {\"cell\": \"10.95\", \"bbox\": [319, 113, 336, 121]}, {\"cell\": \"13.39\", \"bbox\": [393, 113, 410, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 121, 111, 130]}, {\"cell\": \"12.18\", \"bbox\": [170, 121, 187, 130]}, {\"cell\": \"2.39\", \"bbox\": [246, 121, 260, 130]}, {\"cell\": \"9.76\", \"bbox\": [320, 121, 334, 130]}, {\"cell\": \"5.14\", \"bbox\": [394, 121, 408, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [94, 129, 110, 138]}, {\"cell\": \"5.87\", \"bbox\": [172, 129, 186, 138]}, {\"cell\": \"7.69\", \"bbox\": [246, 129, 260, 138]}, {\"cell\": \"1.19\", \"bbox\": [320, 129, 334, 138]}, {\"cell\": \"5.90\", \"bbox\": [394, 129, 408, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 150, 53, 159]}, {\"cell\": \"22.94\", \"bbox\": [93, 141, 111, 150]}, {\"cell\": \"12.03\", \"bbox\": [170, 141, 187, 150]}, {\"cell\": \"4.88\", \"bbox\": [246, 141, 260, 150]}, {\"cell\": \"14.61\", \"bbox\": [319, 141, 336, 150]}, {\"cell\": \"14.29\", \"bbox\": [393, 141, 410, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 149, 111, 158]}, {\"cell\": \"14.87\", \"bbox\": [170, 149, 187, 158]}, {\"cell\": \"1.17\", \"bbox\": [246, 149, 260, 158]}, {\"cell\": \"12.99\", \"bbox\": [319, 149, 336, 158]}, {\"cell\": \"9.18\", \"bbox\": [394, 149, 408, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [94, 157, 110, 166]}, {\"cell\": \"12.44\", \"bbox\": [170, 157, 187, 166]}, {\"cell\": \"6.58\", \"bbox\": [246, 158, 260, 166]}, {\"cell\": \"8.21\", \"bbox\": [320, 157, 334, 166]}, {\"cell\": \"5.77\", \"bbox\": [394, 157, 408, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 178, 53, 187]}, {\"cell\": \"23.62\", \"bbox\": [93, 169, 111, 178]}, {\"cell\": \"12.86\", \"bbox\": [170, 169, 187, 178]}, {\"cell\": \"7.05\", \"bbox\": [246, 169, 260, 178]}, {\"cell\": \"11.93\", \"bbox\": [319, 169, 336, 178]}, {\"cell\": \"8.80\", \"bbox\": [394, 169, 408, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 178, 111, 186]}, {\"cell\": \"13.93\", \"bbox\": [170, 178, 187, 186]}, {\"cell\": \"3.97\", \"bbox\": [246, 178, 260, 186]}, {\"cell\": \"10.59\", \"bbox\": [319, 178, 336, 186]}, {\"cell\": \"7.69\", \"bbox\": [394, 178, 408, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [94, 186, 110, 195]}, {\"cell\": \"4.42\", \"bbox\": [172, 186, 186, 195]}, {\"cell\": \"5.63\", \"bbox\": [246, 186, 260, 195]}, {\"cell\": \"2.43\", \"bbox\": [320, 186, 334, 195]}, {\"cell\": \"4.96\", \"bbox\": [394, 186, 408, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 207, 54, 215]}, {\"cell\": \"23.51\", \"bbox\": [93, 198, 111, 206]}, {\"cell\": \"13.50\", \"bbox\": [170, 198, 187, 206]}, {\"cell\": \"7.82\", \"bbox\": [246, 198, 260, 207]}, {\"cell\": \"10.31\", \"bbox\": [319, 198, 336, 206]}, {\"cell\": \"12.88\", \"bbox\": [393, 198, 410, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 206, 111, 215]}, {\"cell\": \"12.88\", \"bbox\": [170, 206, 187, 215]}, {\"cell\": \"2.14\", \"bbox\": [246, 206, 260, 215]}, {\"cell\": \"10.52\", \"bbox\": [319, 206, 336, 215]}, {\"cell\": \"8.78\", \"bbox\": [394, 206, 408, 215]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [94, 214, 110, 223]}, {\"cell\": \"8.41\", \"bbox\": [172, 214, 186, 223]}, {\"cell\": \"8.57\", \"bbox\": [246, 214, 260, 223]}, {\"cell\": \"5.52\", \"bbox\": [320, 214, 334, 223]}, {\"cell\": \"8.75\", \"bbox\": [394, 214, 408, 223]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC6073449_004_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
YearT2 (ms)AuthorsReference
[EMPTY_CELL]57 ± 16Bottomley et al.Med Phys. 1984 Jul-Aug;11(4):425-48.
[EMPTY_CELL]42.41McNamara et al.Circulation. 1985:71, No. 4, 717-724.
[EMPTY_CELL]50 ± 3Walker et al.Magn Reson Med. 1993 May;29(5):637-41.
[EMPTY_CELL]44.3 ± 3.5Mavrogeni et al.MAGMA. 1998 Aug;6(1):7-12
[EMPTY_CELL]48.3 ± 5.5Mavrogeni et al.Int J Card Imaging. 1998 Apr;14(2):117-22
[EMPTY_CELL]57.95 ± 4.9Papanikolaou et al.Acta Radiol. 2000 Jul;41(4):348-51.
[EMPTY_CELL]52 ± 4.3Foltz et al.Magn Reson Med. 2003 Jun;49(6):1089-97.
[EMPTY_CELL]58.1 ± 7.1Mavrogeni et al.Chest. 2005 Jan;127(1):143-8.
[EMPTY_CELL]56.9 ± 8.4He et al.J Magn Reson Imaging. 2006 Sep;24(3):580-5
[EMPTY_CELL]54 ± 4.3Huang et al.Magn Reson Med. 2007 May;57(5):960-6.
[EMPTY_CELL]50 ± 4Blume et al.J Magn Reson Imaging. 2009 Feb;29(2):480-7
[EMPTY_CELL]54 ± 6.8Sparrow et al.J Magn Reson Imaging. 2009 Nov;30(5):942-6.
\", \"cells\": [{\"cell\": \"Year\", \"bbox\": [4, 5, 25, 14]}, {\"cell\": \"T2 (ms)\", \"bbox\": [48, 5, 81, 14]}, {\"cell\": \"Authors\", \"bbox\": [124, 5, 157, 14]}, {\"cell\": \"Reference\", \"bbox\": [240, 5, 280, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 27, 23, 36]}, {\"cell\": \"57 ± 16\", \"bbox\": [48, 27, 76, 36]}, {\"cell\": \"Bottomley et al.\", \"bbox\": [124, 27, 179, 36]}, {\"cell\": \"Med Phys. 1984 Jul-Aug;11(4):425-48.\", \"bbox\": [240, 27, 367, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 37, 23, 47]}, {\"cell\": \"42.41\", \"bbox\": [48, 37, 67, 47]}, {\"cell\": \"McNamara et al.\", \"bbox\": [124, 37, 181, 47]}, {\"cell\": \"Circulation. 1985:71, No. 4, 717-724.\", \"bbox\": [239, 37, 366, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 47, 23, 57]}, {\"cell\": \"50 ± 3\", \"bbox\": [48, 47, 72, 57]}, {\"cell\": \"Walker et al.\", \"bbox\": [124, 47, 169, 57]}, {\"cell\": \"Magn Reson Med. 1993 May;29(5):637-41.\", \"bbox\": [239, 47, 382, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 57, 23, 67]}, {\"cell\": \"44.3 ± 3.5\", \"bbox\": [48, 57, 84, 67]}, {\"cell\": \"Mavrogeni et al.\", \"bbox\": [124, 57, 179, 67]}, {\"cell\": \"MAGMA. 1998 Aug;6(1):7-12\", \"bbox\": [239, 57, 340, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 68, 23, 77]}, {\"cell\": \"48.3 ± 5.5\", \"bbox\": [48, 68, 84, 77]}, {\"cell\": \"Mavrogeni et al.\", \"bbox\": [124, 68, 179, 77]}, {\"cell\": \"Int J Card Imaging. 1998 Apr;14(2):117-22\", \"bbox\": [240, 68, 381, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 78, 23, 88]}, {\"cell\": \"57.95 ± 4.9\", \"bbox\": [48, 78, 88, 88]}, {\"cell\": \"Papanikolaou et al.\", \"bbox\": [124, 78, 188, 88]}, {\"cell\": \"Acta Radiol. 2000 Jul;41(4):348-51.\", \"bbox\": [239, 78, 357, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 88, 23, 98]}, {\"cell\": \"52 ± 4.3\", \"bbox\": [48, 88, 78, 98]}, {\"cell\": \"Foltz et al.\", \"bbox\": [124, 88, 160, 98]}, {\"cell\": \"Magn Reson Med. 2003 Jun;49(6):1089-97.\", \"bbox\": [240, 88, 383, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 99, 23, 108]}, {\"cell\": \"58.1 ± 7.1\", \"bbox\": [48, 99, 84, 108]}, {\"cell\": \"Mavrogeni et al.\", \"bbox\": [124, 99, 179, 108]}, {\"cell\": \"Chest. 2005 Jan;127(1):143-8.\", \"bbox\": [239, 99, 340, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 109, 23, 118]}, {\"cell\": \"56.9 ± 8.4\", \"bbox\": [48, 109, 84, 118]}, {\"cell\": \"He et al.\", \"bbox\": [124, 109, 154, 118]}, {\"cell\": \"J Magn Reson Imaging. 2006 Sep;24(3):580-5\", \"bbox\": [239, 109, 389, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 119, 23, 129]}, {\"cell\": \"54 ± 4.3\", \"bbox\": [48, 119, 78, 129]}, {\"cell\": \"Huang et al.\", \"bbox\": [124, 119, 165, 129]}, {\"cell\": \"Magn Reson Med. 2007 May;57(5):960-6.\", \"bbox\": [239, 119, 378, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 129, 23, 139]}, {\"cell\": \"50 ± 4\", \"bbox\": [48, 129, 72, 139]}, {\"cell\": \"Blume et al.\", \"bbox\": [124, 129, 165, 139]}, {\"cell\": \"J Magn Reson Imaging. 2009 Feb;29(2):480-7\", \"bbox\": [239, 129, 389, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 140, 23, 149]}, {\"cell\": \"54 ± 6.8\", \"bbox\": [48, 140, 78, 149]}, {\"cell\": \"Sparrow et al.\", \"bbox\": [124, 140, 172, 149]}, {\"cell\": \"J Magn Reson Imaging. 2009 Nov;30(5):942-6.\", \"bbox\": [240, 140, 393, 149]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2809052_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Cellular pathwayDetected number of genes in SAM-listExpected number of genes based on NCBI reference listP-value
Angiogenesis164.12[EMPTY_CELL]
Wnt signaling206.71[EMPTY_CELL]
T cell activation102.26[EMPTY_CELL]
Inflammation mediated by chemokine and cytokine signaling pathway165.9[EMPTY_CELL]
Endothelin signaling pathway81.84[EMPTY_CELL]
Muscarinic acetylcholine receptor 1 and 3 signaling pathway50.81[EMPTY_CELL]
Integrin signaling pathway124.44[EMPTY_CELL]
Alpha adrenergic receptor signaling pathway40.53[EMPTY_CELL]
EGF receptor signaling pathway82.56[EMPTY_CELL]
Unclassified370388.65[EMPTY_CELL]
Axon guidance mediated by semaphorins51.15[EMPTY_CELL]
PDGF signaling pathway93.38[EMPTY_CELL]
Ras pathway61.73[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Cellular pathway\", \"bbox\": [4, 5, 72, 14]}, {\"cell\": \"Detected number of genes in SAM-list\", \"bbox\": [259, 5, 339, 23]}, {\"cell\": \"Expected number of genes based on NCBI reference list\", \"bbox\": [347, 5, 460, 23]}, {\"cell\": \"P-value\", \"bbox\": [467, 5, 497, 14]}, {\"cell\": \"Angiogenesis\", \"bbox\": [4, 36, 57, 46]}, {\"cell\": \"16\", \"bbox\": [294, 36, 304, 44]}, {\"cell\": \"4.12\", \"bbox\": [396, 36, 412, 44]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 36, 496, 44]}, {\"cell\": \"Wnt signaling\", \"bbox\": [4, 46, 60, 56]}, {\"cell\": \"20\", \"bbox\": [294, 46, 304, 54]}, {\"cell\": \"6.71\", \"bbox\": [396, 46, 412, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 46, 496, 54]}, {\"cell\": \"T cell activation\", \"bbox\": [4, 57, 68, 66]}, {\"cell\": \"10\", \"bbox\": [294, 57, 304, 64]}, {\"cell\": \"2.26\", \"bbox\": [396, 57, 412, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 57, 496, 64]}, {\"cell\": \"Inflammation mediated by chemokine and cytokine signaling pathway\", \"bbox\": [4, 67, 240, 86]}, {\"cell\": \"16\", \"bbox\": [294, 67, 304, 75]}, {\"cell\": \"5.9\", \"bbox\": [398, 67, 410, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 67, 496, 75]}, {\"cell\": \"Endothelin signaling pathway\", \"bbox\": [4, 86, 118, 96]}, {\"cell\": \"8\", \"bbox\": [296, 86, 302, 94]}, {\"cell\": \"1.84\", \"bbox\": [396, 86, 412, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 86, 496, 94]}, {\"cell\": \"Muscarinic acetylcholine receptor 1 and 3 signaling pathway\", \"bbox\": [4, 97, 236, 106]}, {\"cell\": \"5\", \"bbox\": [296, 97, 302, 104]}, {\"cell\": \"0.81\", \"bbox\": [396, 97, 412, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 97, 496, 104]}, {\"cell\": \"Integrin signaling pathway\", \"bbox\": [4, 107, 107, 116]}, {\"cell\": \"12\", \"bbox\": [294, 107, 304, 115]}, {\"cell\": \"4.44\", \"bbox\": [396, 107, 412, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 107, 496, 115]}, {\"cell\": \"Alpha adrenergic receptor signaling pathway\", \"bbox\": [4, 117, 179, 127]}, {\"cell\": \"4\", \"bbox\": [296, 117, 302, 125]}, {\"cell\": \"0.53\", \"bbox\": [396, 117, 412, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 117, 496, 125]}, {\"cell\": \"EGF receptor signaling pathway\", \"bbox\": [4, 127, 129, 137]}, {\"cell\": \"8\", \"bbox\": [296, 127, 302, 135]}, {\"cell\": \"2.56\", \"bbox\": [396, 127, 412, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 127, 496, 135]}, {\"cell\": \"Unclassified\", \"bbox\": [4, 138, 52, 147]}, {\"cell\": \"370\", \"bbox\": [292, 138, 306, 145]}, {\"cell\": \"388.65\", \"bbox\": [392, 138, 416, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 138, 496, 145]}, {\"cell\": \"Axon guidance mediated by semaphorins\", \"bbox\": [4, 148, 165, 157]}, {\"cell\": \"5\", \"bbox\": [296, 148, 302, 156]}, {\"cell\": \"1.15\", \"bbox\": [396, 148, 412, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 148, 496, 156]}, {\"cell\": \"PDGF signaling pathway\", \"bbox\": [4, 158, 100, 168]}, {\"cell\": \"9\", \"bbox\": [296, 158, 302, 166]}, {\"cell\": \"3.38\", \"bbox\": [396, 158, 412, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 158, 496, 166]}, {\"cell\": \"Ras pathway\", \"bbox\": [4, 168, 55, 178]}, {\"cell\": \"6\", \"bbox\": [296, 168, 302, 176]}, {\"cell\": \"1.73\", \"bbox\": [396, 168, 412, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 168, 496, 176]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2212662_008_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Evaluation QuestionCohort 1 (Yale) n = 35% (95% CI)Cohort 2 (Yale/M. Patern) n = 32% (95% CI)Cohort 3 (M. Patern) n = 26% (95% C
Self-reported management skills (% reporting \\\"very strong and confident\\\")[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Self-rated management skills:[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Before the course17.7 (7-34)[EMPTY_CELL]3.9 (0-22)
After the course100.0 (87-100)[EMPTY_CELL]100.0 (83-100)
Course ratings (% reporting \\\"extremely well\\\")[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
How well did the training:[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Address new management techniques?91.4 (76-98)[EMPTY_CELL]88.5 (69-97)
Build management capacity in the areas of leadership, strategic planning, human resource development, and financial management?67.7 (49-82)[EMPTY_CELL]76.9 (56-90)
Create a community of learners and build teams of healthcare professionals?57.1 (40-73)[EMPTY_CELL]69.2 (48-85)
How well did the training meet its objectives for:[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Scientific method of problem solving and related skills/tools?80.0 (63-91)[EMPTY_CELL]84.6 (64-95)
Personal and professional leadership?67.7 (49-82)[EMPTY_CELL]70.8 (49-87)
Building teams, personal communication styles, and empowering employees78.1 (60-90)[EMPTY_CELL]69.2 (48-85)
Faculty's ability to teach and manage the training (% reporting \\\"yes, definitely\\\")[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Faculty responded effectively to questions88.6 (72-96)[EMPTY_CELL]88.5 (69-97)
Faculty related theory to real-life by using actual workplace problems or concerns in their teaching88.2 (72-96)[EMPTY_CELL]92.3 (73-99)
If the course were offered again, would you recommend it to your colleagues?93.9 (78-99)[EMPTY_CELL]100.0 (83-100)
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Patern) n = 26% (95% C\", \"bbox\": [411, 4, 484, 22]}, {\"cell\": \"Self-reported management skills (% reporting \\\"very strong and confident\\\")\", \"bbox\": [1, 35, 254, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Self-rated management skills:\", \"bbox\": [1, 47, 101, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Before the course\", \"bbox\": [1, 59, 59, 68]}, {\"cell\": \"17.7 (7-34)\", \"bbox\": [276, 59, 312, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 59, 379, 68]}, {\"cell\": \"3.9 (0-22)\", \"bbox\": [411, 59, 443, 68]}, {\"cell\": \"After the course\", \"bbox\": [1, 71, 54, 80]}, {\"cell\": \"100.0 (87-100)\", \"bbox\": [276, 71, 323, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 71, 387, 80]}, {\"cell\": \"100.0 (83-100)\", \"bbox\": [411, 71, 458, 80]}, {\"cell\": \"Course ratings (% reporting \\\"extremely well\\\")\", \"bbox\": [1, 83, 155, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"How well did the training:\", \"bbox\": [1, 95, 91, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Address new management techniques?\", \"bbox\": [1, 107, 130, 116]}, {\"cell\": \"91.4 (76-98)\", \"bbox\": [276, 107, 315, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 107, 387, 116]}, {\"cell\": \"88.5 (69-97)\", \"bbox\": [411, 107, 450, 116]}, {\"cell\": \"Build management capacity in the areas of leadership, strategic planning, human resource development, and financial management?\", \"bbox\": [1, 119, 225, 137]}, {\"cell\": \"67.7 (49-82)\", \"bbox\": [276, 119, 315, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 119, 383, 128]}, {\"cell\": \"76.9 (56-90)\", \"bbox\": [411, 119, 450, 128]}, {\"cell\": \"Create a community of learners and build teams of healthcare professionals?\", \"bbox\": [1, 140, 204, 158]}, {\"cell\": \"57.1 (40-73)\", \"bbox\": [276, 140, 315, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 140, 383, 149]}, {\"cell\": \"69.2 (48-85)\", \"bbox\": [411, 140, 450, 149]}, {\"cell\": \"How well did the training meet its objectives for:\", \"bbox\": [1, 161, 169, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Scientific method of problem solving and related skills/tools?\", \"bbox\": [1, 173, 200, 182]}, {\"cell\": \"80.0 (63-91)\", \"bbox\": [276, 173, 315, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 173, 387, 182]}, {\"cell\": \"84.6 (64-95)\", \"bbox\": [411, 173, 450, 182]}, {\"cell\": \"Personal and professional leadership?\", \"bbox\": [1, 185, 123, 194]}, {\"cell\": \"67.7 (49-82)\", \"bbox\": [276, 185, 315, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 185, 383, 194]}, {\"cell\": \"70.8 (49-87)\", \"bbox\": [411, 185, 450, 194]}, {\"cell\": \"Building teams, personal communication styles, and empowering employees\", \"bbox\": [1, 196, 250, 206]}, {\"cell\": \"78.1 (60-90)\", \"bbox\": [276, 196, 315, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 196, 383, 206]}, {\"cell\": \"69.2 (48-85)\", \"bbox\": [411, 196, 450, 206]}, {\"cell\": \"Faculty's ability to teach and manage the training (% reporting \\\"yes, definitely\\\")\", \"bbox\": [1, 208, 272, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Faculty responded effectively to questions\", \"bbox\": [1, 220, 139, 230]}, {\"cell\": \"88.6 (72-96)\", \"bbox\": [276, 220, 315, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 220, 387, 230]}, {\"cell\": \"88.5 (69-97)\", \"bbox\": [411, 220, 450, 230]}, {\"cell\": \"Faculty related theory to real-life by using actual workplace problems or concerns in their teaching\", \"bbox\": [1, 232, 236, 251]}, {\"cell\": \"88.2 (72-96)\", \"bbox\": [276, 232, 315, 242]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 232, 390, 242]}, {\"cell\": \"92.3 (73-99)\", \"bbox\": [411, 232, 450, 242]}, {\"cell\": \"If the course were offered again, would you recommend it to your colleagues?\", \"bbox\": [1, 253, 259, 263]}, {\"cell\": \"93.9 (78-99)\", \"bbox\": [276, 253, 315, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 253, 390, 263]}, {\"cell\": \"100.0 (83-100)\", \"bbox\": [411, 253, 458, 263]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2850875_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]eMERGE n = 10,487BioVU n = 13,711Combined n = 24,198
Genotyping Platform[EMPTY_CELL]Illumina HumanExome[EMPTY_CELL]
Number of SNPs[EMPTY_CELL]99
Total number of phenotypes[EMPTY_CELL]12541010
Median age (IQR)[EMPTY_CELL]60 (47–72)59 (48–70)
Female (%)[EMPTY_CELL]54.3153.35
BMI (average ± SD)[EMPTY_CELL]28.43 ± 6.4429.54 ± 7.04
Most frequent diagnoses[EMPTY_CELL]Hypertension (63%) Malaise and fatigue (51%) Eye infection, viral (50%) Hyperlipidemia (40%) Pain in limb (39%)Hypertension (64%) Hyperlipidemia (49%) Malaise and fatigue (46%) Pain in limb (43%) GERD (34%)
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"eMERGE n = 10,487\", \"bbox\": [135, 6, 174, 25]}, {\"cell\": \"BioVU n = 13,711\", \"bbox\": [299, 6, 337, 25]}, {\"cell\": \"Combined n = 24,198\", \"bbox\": [433, 6, 473, 25]}, {\"cell\": \"Genotyping Platform\", \"bbox\": [1, 36, 71, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 36, 246, 45]}, {\"cell\": \"Illumina HumanExome\", \"bbox\": [299, 36, 376, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Number of SNPs\", \"bbox\": [1, 47, 59, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 47, 146, 56]}, {\"cell\": \"9\", \"bbox\": [299, 47, 305, 56]}, {\"cell\": \"9\", \"bbox\": [433, 47, 440, 56]}, {\"cell\": \"Total number of phenotypes\", \"bbox\": [0, 59, 55, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 59, 153, 68]}, {\"cell\": \"1254\", \"bbox\": [299, 59, 317, 68]}, {\"cell\": \"1010\", \"bbox\": [433, 59, 450, 68]}, {\"cell\": \"Median age (IQR)\", \"bbox\": [0, 81, 61, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 81, 172, 90]}, {\"cell\": \"60 (47–72)\", \"bbox\": [299, 81, 335, 90]}, {\"cell\": \"59 (48–70)\", \"bbox\": [433, 81, 470, 90]}, {\"cell\": \"Female (%)\", \"bbox\": [0, 92, 41, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 92, 156, 101]}, {\"cell\": \"54.31\", \"bbox\": [299, 92, 319, 101]}, {\"cell\": \"53.35\", \"bbox\": [433, 92, 454, 101]}, {\"cell\": \"BMI (average ± SD)\", \"bbox\": [0, 104, 69, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 104, 179, 113]}, {\"cell\": \"28.43 ± 6.44\", \"bbox\": [299, 104, 344, 113]}, {\"cell\": \"29.54 ± 7.04\", \"bbox\": [433, 104, 477, 113]}, {\"cell\": \"Most frequent diagnoses\", \"bbox\": [1, 115, 86, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 115, 232, 176]}, {\"cell\": \"Hypertension (63%) Malaise and fatigue (51%) Eye infection, viral (50%) Hyperlipidemia (40%) Pain in limb (39%)\", \"bbox\": [299, 115, 383, 176]}, {\"cell\": \"Hypertension (64%) Hyperlipidemia (49%) Malaise and fatigue (46%) Pain in limb (43%) GERD (34%)\", \"bbox\": [433, 115, 507, 176]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4134007_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
GO1GO TermDEG2FDR3
Biological Processblood vessel development64[EMPTY_CELL]
[EMPTY_CELL]vasculature development64[EMPTY_CELL]
[EMPTY_CELL]actin filament organization40[EMPTY_CELL]
[EMPTY_CELL]actin cytoskeleton organization and biogenesis81[EMPTY_CELL]
[EMPTY_CELL]actin filament-based process84[EMPTY_CELL]
[EMPTY_CELL]regulation of signal transduction98[EMPTY_CELL]
[EMPTY_CELL]angiogenesis56[EMPTY_CELL]
[EMPTY_CELL]blood vessel morphogenesis60[EMPTY_CELL]
[EMPTY_CELL]cell morphogenesis161[EMPTY_CELL]
Cellular Componentextracellular matrix75[EMPTY_CELL]
[EMPTY_CELL]proteinaceous extracellular matrix74[EMPTY_CELL]
[EMPTY_CELL]actin cytoskeleton60[EMPTY_CELL]
[EMPTY_CELL]adherens junction30[EMPTY_CELL]
[EMPTY_CELL]cell-matrix junction25[EMPTY_CELL]
[EMPTY_CELL]cytoskeleton132[EMPTY_CELL]
Molecular Functionprotein binding864[EMPTY_CELL]
[EMPTY_CELL]binding1195[EMPTY_CELL]
[EMPTY_CELL]cytoskeletal protein binding95[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"GO1\", \"bbox\": [4, 4, 24, 12]}, {\"cell\": \"GO Term\", \"bbox\": [131, 5, 171, 12]}, {\"cell\": \"DEG2\", \"bbox\": [417, 4, 441, 12]}, {\"cell\": \"FDR3\", \"bbox\": [461, 4, 483, 12]}, {\"cell\": \"Biological Process\", \"bbox\": [4, 27, 66, 36]}, {\"cell\": \"blood vessel development\", \"bbox\": [131, 27, 219, 36]}, {\"cell\": \"64\", \"bbox\": [430, 27, 441, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 27, 486, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"vasculature development\", \"bbox\": [131, 37, 216, 47]}, {\"cell\": \"64\", \"bbox\": [431, 37, 441, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 37, 486, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"actin filament organization\", \"bbox\": [131, 47, 220, 57]}, {\"cell\": \"40\", \"bbox\": [430, 47, 441, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 47, 486, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"actin cytoskeleton organization and biogenesis\", \"bbox\": [131, 57, 287, 67]}, {\"cell\": \"81\", \"bbox\": [430, 57, 441, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 57, 486, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"actin filament-based process\", \"bbox\": [131, 68, 227, 77]}, {\"cell\": \"84\", \"bbox\": [431, 68, 441, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 68, 486, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"regulation of signal transduction\", \"bbox\": [131, 78, 239, 88]}, {\"cell\": \"98\", \"bbox\": [430, 78, 441, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 78, 486, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"angiogenesis\", \"bbox\": [131, 88, 174, 98]}, {\"cell\": \"56\", \"bbox\": [430, 88, 441, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 88, 486, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"blood vessel morphogenesis\", \"bbox\": [131, 98, 227, 108]}, {\"cell\": \"60\", \"bbox\": [430, 98, 441, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 98, 486, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"cell morphogenesis\", \"bbox\": [131, 109, 197, 118]}, {\"cell\": \"161\", \"bbox\": [426, 109, 441, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 109, 486, 118]}, {\"cell\": \"Cellular Component\", \"bbox\": [4, 119, 75, 129]}, {\"cell\": \"extracellular matrix\", \"bbox\": [131, 119, 198, 129]}, {\"cell\": \"75\", \"bbox\": [430, 119, 441, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 119, 486, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"proteinaceous extracellular matrix\", \"bbox\": [131, 129, 248, 139]}, {\"cell\": \"74\", \"bbox\": [431, 129, 441, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 129, 486, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"actin cytoskeleton\", \"bbox\": [131, 139, 193, 149]}, {\"cell\": \"60\", \"bbox\": [431, 139, 441, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 139, 486, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"adherens junction\", \"bbox\": [131, 150, 192, 159]}, {\"cell\": \"30\", \"bbox\": [430, 150, 441, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 150, 486, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"cell-matrix junction\", \"bbox\": [131, 160, 197, 170]}, {\"cell\": \"25\", \"bbox\": [430, 160, 441, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 160, 486, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"cytoskeleton\", \"bbox\": [131, 170, 175, 180]}, {\"cell\": \"132\", \"bbox\": [426, 170, 441, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 170, 486, 180]}, {\"cell\": \"Molecular Function\", \"bbox\": [4, 180, 71, 190]}, {\"cell\": \"protein binding\", \"bbox\": [131, 180, 183, 190]}, {\"cell\": \"864\", \"bbox\": [426, 180, 441, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 180, 486, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"binding\", \"bbox\": [131, 191, 156, 200]}, {\"cell\": \"1195\", \"bbox\": [422, 191, 441, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 191, 486, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"cytoskeletal protein binding\", \"bbox\": [131, 201, 225, 211]}, {\"cell\": \"95\", \"bbox\": [430, 201, 441, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 201, 486, 211]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2435557_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Activities/ SeverityMild (n=21)Moderate (n=30)Severe (n=26)Very severe (n=23)p
Lateral lying3.4 (2.8-3.9)2.6 (2.3-3.0)[EMPTY_CELL]3.0 (2.5-3.6)0.3
Dorsal lying3.1 (2.7-3.5)3.3 (2.8-3.9)[EMPTY_CELL]3.2 (2.6-3.7)0.7
Sitting3.1 (2.6-3.7)3.3 (2.8-3.7)[EMPTY_CELL]3.5 (2.9-4.0)0.6
Standing3.4 (2.9-3.9)3.2 (2.9-3.5)[EMPTY_CELL]4.2 (3.6-4.8)0.08
Morning hygiene5.7 (4.0-7.4)5.7 (4.8-6.5)[EMPTY_CELL]6.7 (5.6-7.8)0.7
Bathing8.5 (7.3-9.8)8.1 (7.1-9.1)[EMPTY_CELL]9.1 (7.9-10.3)0.2
Putting on clothes8.2 (6.3-10.1)8.4 (7.0-9.7)[EMPTY_CELL]8.9 (7.5-10.3)0.7
Taking off clothes8.4 (6.5-10.3)8.5 (7.1-9.9)[EMPTY_CELL]6.4 (5.0-7.8)0.1
Putting on shoes8.6 (7.1-10.0)8.3 (6.8-9.9)[EMPTY_CELL]8.7 (7.2-10.2)0.06
Taking off shoes7.8 (6.3-9.4)7.8 (6.8-8.9)[EMPTY_CELL]7.0 (6.0-8.0)0.7
Domestic activity7.1 (6.2-8.0)7.1 (6.1-8.2)[EMPTY_CELL]8.1 (7.1-9.1)0.3
Office activity5.9 (5.0-6.9)5.7 (4.8-6.6)[EMPTY_CELL]5.6 (4.8-6.5)0.9
Walking down a flight of stairs7.7 (6.8-9.0)7.7 (6.5-8.8)[EMPTY_CELL]6.5 (5.4-7.1)0.06
Walking up a flight of stairs8.8 (7.5-10.2)8.5 (7.3-9.7)[EMPTY_CELL]7.2 (6.0-8.4)0.06
Walking down a ramp7.7 (6.5-9.0)6.7 (5.9-7.5)[EMPTY_CELL]6.4 (5.5-7.3)0.07
Walking up a ramp7.8 (7.1-8.5)7.7 (7.0-8.4)[EMPTY_CELL]6.7 (5.9-7.5)0.1
Walking with 2.5 kg in each hand12.2 (10.7-13.8)12.3 (11.0-13.6)[EMPTY_CELL]12.1 (10.4-13.9)0.8
Walking with 5.0 kg in one hand13.1 (12.2-14.0)13.2 (11.6-14.8)[EMPTY_CELL]12.1 (10.3-13.9)0.4
\", \"cells\": [{\"cell\": \"Activities/ Severity\", \"bbox\": [1, 14, 33, 37]}, {\"cell\": \"Mild (n=21)\", \"bbox\": [47, 25, 83, 37]}, {\"cell\": \"Moderate (n=30)\", \"bbox\": [92, 14, 123, 37]}, {\"cell\": \"Severe (n=26)\", \"bbox\": [137, 25, 181, 37]}, {\"cell\": \"Very severe (n=23)\", \"bbox\": [182, 14, 220, 37]}, {\"cell\": \"p\", \"bbox\": [227, 25, 233, 37]}, {\"cell\": \"Lateral lying\", \"bbox\": [1, 37, 41, 48]}, {\"cell\": \"3.4 (2.8-3.9)\", \"bbox\": [47, 37, 85, 48]}, {\"cell\": \"2.6 (2.3-3.0)\", \"bbox\": [92, 37, 129, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [137, 37, 174, 48]}, {\"cell\": \"3.0 (2.5-3.6)\", \"bbox\": [182, 37, 219, 48]}, {\"cell\": \"0.3\", \"bbox\": [227, 37, 238, 48]}, {\"cell\": \"Dorsal lying\", \"bbox\": [1, 48, 40, 59]}, {\"cell\": \"3.1 (2.7-3.5)\", \"bbox\": [47, 48, 85, 59]}, {\"cell\": \"3.3 (2.8-3.9)\", \"bbox\": [92, 48, 129, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [137, 48, 174, 59]}, {\"cell\": \"3.2 (2.6-3.7)\", \"bbox\": [182, 48, 219, 59]}, {\"cell\": \"0.7\", \"bbox\": [227, 48, 238, 59]}, {\"cell\": \"Sitting\", \"bbox\": [1, 59, 23, 70]}, {\"cell\": \"3.1 (2.6-3.7)\", \"bbox\": [47, 59, 85, 70]}, {\"cell\": \"3.3 (2.8-3.7)\", \"bbox\": [92, 59, 129, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [137, 59, 174, 70]}, {\"cell\": \"3.5 (2.9-4.0)\", \"bbox\": [182, 59, 219, 70]}, {\"cell\": \"0.6\", \"bbox\": [227, 59, 238, 70]}, {\"cell\": \"Standing\", \"bbox\": [1, 70, 30, 81]}, {\"cell\": \"3.4 (2.9-3.9)\", \"bbox\": [47, 70, 85, 81]}, {\"cell\": \"3.2 (2.9-3.5)\", \"bbox\": [92, 70, 129, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [137, 70, 174, 81]}, {\"cell\": \"4.2 (3.6-4.8)\", \"bbox\": [182, 70, 219, 81]}, {\"cell\": \"0.08\", \"bbox\": [227, 70, 241, 81]}, {\"cell\": \"Morning hygiene\", \"bbox\": [1, 81, 28, 103]}, {\"cell\": \"5.7 (4.0-7.4)\", \"bbox\": [47, 86, 85, 98]}, {\"cell\": \"5.7 (4.8-6.5)\", \"bbox\": [92, 86, 129, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [137, 86, 174, 98]}, {\"cell\": \"6.7 (5.6-7.8)\", \"bbox\": [182, 86, 219, 98]}, {\"cell\": \"0.7\", \"bbox\": [227, 86, 238, 98]}, {\"cell\": \"Bathing\", \"bbox\": [1, 103, 27, 114]}, {\"cell\": \"8.5 (7.3-9.8)\", \"bbox\": [47, 103, 85, 114]}, {\"cell\": \"8.1 (7.1-9.1)\", \"bbox\": [92, 103, 129, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [137, 103, 174, 114]}, {\"cell\": \"9.1 (7.9-10.3)\", \"bbox\": [182, 103, 223, 114]}, {\"cell\": \"0.2\", \"bbox\": [227, 103, 238, 114]}, {\"cell\": \"Putting on clothes\", \"bbox\": [1, 114, 35, 136]}, {\"cell\": \"8.2 (6.3-10.1)\", \"bbox\": [47, 114, 77, 136]}, {\"cell\": \"8.4 (7.0-9.7)\", \"bbox\": [92, 119, 129, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [137, 119, 174, 131]}, {\"cell\": \"8.9 (7.5-10.3)\", \"bbox\": [182, 119, 223, 131]}, {\"cell\": \"0.7\", \"bbox\": [227, 119, 238, 131]}, {\"cell\": \"Taking off clothes\", \"bbox\": [1, 136, 34, 158]}, {\"cell\": \"8.4 (6.5-10.3)\", \"bbox\": [47, 136, 77, 158]}, {\"cell\": \"8.5 (7.1-9.9)\", \"bbox\": [92, 141, 129, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [137, 141, 174, 153]}, {\"cell\": \"6.4 (5.0-7.8)\", \"bbox\": [182, 141, 219, 153]}, {\"cell\": \"0.1\", \"bbox\": [227, 141, 238, 153]}, {\"cell\": \"Putting on shoes\", \"bbox\": [1, 158, 35, 180]}, {\"cell\": \"8.6 (7.1-10.0)\", \"bbox\": [47, 158, 77, 180]}, {\"cell\": \"8.3 (6.8-9.9)\", \"bbox\": [92, 163, 129, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [137, 163, 174, 175]}, {\"cell\": \"8.7 (7.2-10.2)\", \"bbox\": [182, 163, 223, 175]}, {\"cell\": \"0.06\", \"bbox\": [227, 163, 241, 175]}, {\"cell\": \"Taking off shoes\", \"bbox\": [1, 180, 34, 202]}, {\"cell\": \"7.8 (6.3-9.4)\", \"bbox\": [47, 185, 85, 197]}, {\"cell\": \"7.8 (6.8-8.9)\", \"bbox\": [92, 185, 129, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [137, 185, 174, 197]}, {\"cell\": \"7.0 (6.0-8.0)\", \"bbox\": [182, 185, 219, 197]}, {\"cell\": \"0.7\", \"bbox\": [227, 185, 238, 197]}, {\"cell\": \"Domestic activity\", \"bbox\": [1, 202, 32, 224]}, {\"cell\": \"7.1 (6.2-8.0)\", \"bbox\": [47, 207, 85, 219]}, {\"cell\": \"7.1 (6.1-8.2)\", \"bbox\": [92, 207, 129, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [137, 207, 174, 219]}, {\"cell\": \"8.1 (7.1-9.1)\", \"bbox\": [182, 207, 219, 219]}, {\"cell\": \"0.3\", \"bbox\": [227, 207, 238, 219]}, {\"cell\": \"Office activity\", \"bbox\": [1, 224, 25, 246]}, {\"cell\": \"5.9 (5.0-6.9)\", \"bbox\": [47, 229, 85, 241]}, {\"cell\": \"5.7 (4.8-6.6)\", \"bbox\": [92, 229, 129, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [137, 229, 174, 241]}, {\"cell\": \"5.6 (4.8-6.5)\", \"bbox\": [182, 229, 219, 241]}, {\"cell\": \"0.9\", \"bbox\": [227, 229, 238, 241]}, {\"cell\": \"Walking down a flight of stairs\", \"bbox\": [1, 246, 43, 279]}, {\"cell\": \"7.7 (6.8-9.0)\", \"bbox\": [47, 257, 85, 268]}, {\"cell\": \"7.7 (6.5-8.8)\", \"bbox\": [92, 257, 129, 268]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [137, 257, 174, 268]}, {\"cell\": \"6.5 (5.4-7.1)\", \"bbox\": [182, 257, 219, 268]}, {\"cell\": \"0.06\", \"bbox\": [227, 257, 241, 268]}, {\"cell\": \"Walking up a flight of stairs\", \"bbox\": [1, 279, 43, 312]}, {\"cell\": \"8.8 (7.5-10.2)\", \"bbox\": [47, 284, 77, 307]}, {\"cell\": \"8.5 (7.3-9.7)\", \"bbox\": [92, 290, 129, 301]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [137, 290, 174, 301]}, {\"cell\": \"7.2 (6.0-8.4)\", \"bbox\": [182, 290, 219, 301]}, {\"cell\": \"0.06\", \"bbox\": [227, 290, 241, 301]}, {\"cell\": \"Walking down a ramp\", \"bbox\": [1, 312, 43, 334]}, {\"cell\": \"7.7 (6.5-9.0)\", \"bbox\": [47, 317, 85, 329]}, {\"cell\": \"6.7 (5.9-7.5)\", \"bbox\": [92, 317, 129, 329]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [137, 317, 174, 329]}, {\"cell\": \"6.4 (5.5-7.3)\", \"bbox\": [182, 317, 219, 329]}, {\"cell\": \"0.07\", \"bbox\": [227, 317, 241, 329]}, {\"cell\": \"Walking up a ramp\", \"bbox\": [1, 334, 43, 356]}, {\"cell\": \"7.8 (7.1-8.5)\", \"bbox\": [47, 339, 85, 351]}, {\"cell\": \"7.7 (7.0-8.4)\", \"bbox\": [92, 339, 129, 351]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [137, 339, 174, 351]}, {\"cell\": \"6.7 (5.9-7.5)\", \"bbox\": [182, 339, 219, 351]}, {\"cell\": \"0.1\", \"bbox\": [227, 339, 238, 351]}, {\"cell\": \"Walking with 2.5 kg in each hand\", \"bbox\": [1, 356, 42, 389]}, {\"cell\": \"12.2 (10.7-13.8)\", \"bbox\": [47, 361, 81, 384]}, {\"cell\": \"12.3 (11.0-13.6)\", \"bbox\": [92, 361, 126, 384]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [137, 361, 171, 384]}, {\"cell\": \"12.1 (10.4-13.9)\", \"bbox\": [182, 361, 215, 384]}, {\"cell\": \"0.8\", \"bbox\": [227, 367, 238, 378]}, {\"cell\": \"Walking with 5.0 kg in one hand\", \"bbox\": [1, 389, 42, 422]}, {\"cell\": \"13.1 (12.2-14.0)\", \"bbox\": [47, 394, 81, 417]}, {\"cell\": \"13.2 (11.6-14.8)\", \"bbox\": [92, 394, 126, 417]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [137, 394, 171, 417]}, {\"cell\": \"12.1 (10.3-13.9)\", \"bbox\": [182, 394, 215, 417]}, {\"cell\": \"0.4\", \"bbox\": [227, 400, 238, 411]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3835796_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
GroupStudyCase (n)RR/RR (adjusted)95% CI/95% CI (adjusted)P/P (adjusted)Heterogeneity
P/P (adjusted)I2(%)/I2(%) (adjusted)Statistical model
LRa517511.169/1.19[EMPTY_CELL]0.424/0.3750.824/0.8250/0Fixed-effects model
Distant metastasis35321.348/1.386[EMPTY_CELL]0.032/0.0180.454/0.4630/0Fixed-effects model
3-year OS22640.765/0.786[EMPTY_CELL]0.062/0.0840.424/0.440/0Fixed-effects model
5-year OS312020.863/0.893[EMPTY_CELL]0.117/0.2110.389/0.4160/0Fixed-effects model
3-year EFS34040.801/0.827[EMPTY_CELL]0.032/0.0520.604/0.640/0Fixed-effects model
5-year EFS310410.829/0.833[EMPTY_CELL]0.039/0.0410.284/0.28420.6/20.6Fixed-effects model
LRb62240.667/0.76[EMPTY_CELL]0.251/0.4520.685/0.7020/0Fixed-effects model
\", \"cells\": [{\"cell\": \"Group\", \"bbox\": [13, 4, 35, 14]}, {\"cell\": \"Study\", \"bbox\": [50, 4, 70, 14]}, {\"cell\": \"Case (n)\", \"bbox\": [77, 4, 95, 24]}, {\"cell\": \"RR/RR (adjusted)\", \"bbox\": [107, 2, 141, 24]}, {\"cell\": \"95% CI/95% CI (adjusted)\", \"bbox\": [154, 2, 241, 14]}, {\"cell\": \"P/P (adjusted)\", \"bbox\": [252, 4, 286, 24]}, {\"cell\": \"Heterogeneity\", \"bbox\": [371, 4, 419, 14]}, {\"cell\": \"P/P (adjusted)\", \"bbox\": [295, 17, 341, 29]}, {\"cell\": \"I2(%)/I2(%) (adjusted)\", \"bbox\": [348, 17, 423, 29]}, {\"cell\": \"Statistical model\", \"bbox\": [435, 19, 490, 29]}, {\"cell\": \"LRa\", \"bbox\": [17, 32, 31, 44]}, {\"cell\": \"5\", \"bbox\": [57, 34, 63, 44]}, {\"cell\": \"1751\", \"bbox\": [77, 34, 95, 44]}, {\"cell\": \"1.169/1.19\", \"bbox\": [106, 32, 142, 44]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 32, 238, 44]}, {\"cell\": \"0.424/0.375\", \"bbox\": [249, 32, 289, 44]}, {\"cell\": \"0.824/0.825\", \"bbox\": [298, 32, 338, 44]}, {\"cell\": \"0/0\", \"bbox\": [379, 34, 392, 44]}, {\"cell\": \"Fixed-effects model\", \"bbox\": [430, 32, 496, 44]}, {\"cell\": \"Distant metastasis\", \"bbox\": [7, 49, 41, 68]}, {\"cell\": \"3\", \"bbox\": [57, 49, 63, 59]}, {\"cell\": \"532\", \"bbox\": [79, 47, 93, 59]}, {\"cell\": \"1.348/1.386\", \"bbox\": [104, 49, 144, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 47, 238, 59]}, {\"cell\": \"0.032/0.018\", \"bbox\": [249, 47, 289, 59]}, {\"cell\": \"0.454/0.463\", \"bbox\": [298, 49, 338, 59]}, {\"cell\": \"0/0\", \"bbox\": [379, 49, 392, 59]}, {\"cell\": \"Fixed-effects model\", \"bbox\": [430, 47, 496, 59]}, {\"cell\": \"3-year OS\", \"bbox\": [7, 76, 41, 86]}, {\"cell\": \"2\", \"bbox\": [57, 74, 63, 86]}, {\"cell\": \"264\", \"bbox\": [79, 74, 93, 86]}, {\"cell\": \"0.765/0.786\", \"bbox\": [104, 76, 144, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 74, 238, 86]}, {\"cell\": \"0.062/0.084\", \"bbox\": [249, 74, 289, 86]}, {\"cell\": \"0.424/0.44\", \"bbox\": [300, 74, 336, 86]}, {\"cell\": \"0/0\", \"bbox\": [379, 76, 392, 86]}, {\"cell\": \"Fixed-effects model\", \"bbox\": [430, 74, 496, 86]}, {\"cell\": \"5-year OS\", \"bbox\": [7, 91, 41, 100]}, {\"cell\": \"3\", \"bbox\": [57, 91, 63, 100]}, {\"cell\": \"1202\", \"bbox\": [77, 89, 95, 101]}, {\"cell\": \"0.863/0.893\", \"bbox\": [104, 89, 144, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 89, 238, 101]}, {\"cell\": \"0.117/0.211\", \"bbox\": [249, 89, 288, 101]}, {\"cell\": \"0.389/0.416\", \"bbox\": [298, 89, 338, 101]}, {\"cell\": \"0/0\", \"bbox\": [379, 91, 392, 100]}, {\"cell\": \"Fixed-effects model\", \"bbox\": [430, 89, 496, 101]}, {\"cell\": \"3-year EFS\", \"bbox\": [5, 104, 43, 116]}, {\"cell\": \"3\", \"bbox\": [57, 106, 63, 115]}, {\"cell\": \"404\", \"bbox\": [79, 106, 93, 115]}, {\"cell\": \"0.801/0.827\", \"bbox\": [104, 104, 144, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 104, 238, 116]}, {\"cell\": \"0.032/0.052\", \"bbox\": [249, 104, 289, 116]}, {\"cell\": \"0.604/0.64\", \"bbox\": [300, 106, 336, 115]}, {\"cell\": \"0/0\", \"bbox\": [379, 106, 392, 115]}, {\"cell\": \"Fixed-effects model\", \"bbox\": [430, 104, 496, 116]}, {\"cell\": \"5-year EFS\", \"bbox\": [5, 119, 43, 131]}, {\"cell\": \"3\", \"bbox\": [57, 121, 63, 130]}, {\"cell\": \"1041\", \"bbox\": [77, 121, 95, 130]}, {\"cell\": \"0.829/0.833\", \"bbox\": [104, 119, 144, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 119, 238, 131]}, {\"cell\": \"0.039/0.041\", \"bbox\": [249, 119, 289, 131]}, {\"cell\": \"0.284/0.284\", \"bbox\": [298, 119, 338, 131]}, {\"cell\": \"20.6/20.6\", \"bbox\": [369, 119, 402, 131]}, {\"cell\": \"Fixed-effects model\", \"bbox\": [430, 119, 496, 131]}, {\"cell\": \"LRb\", \"bbox\": [17, 133, 31, 146]}, {\"cell\": \"6\", \"bbox\": [57, 136, 63, 145]}, {\"cell\": \"224\", \"bbox\": [79, 133, 93, 146]}, {\"cell\": \"0.667/0.76\", \"bbox\": [106, 136, 142, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 133, 238, 146]}, {\"cell\": \"0.251/0.452\", \"bbox\": [249, 133, 289, 146]}, {\"cell\": \"0.685/0.702\", \"bbox\": [298, 133, 338, 146]}, {\"cell\": \"0/0\", \"bbox\": [379, 136, 392, 145]}, {\"cell\": \"Fixed-effects model\", \"bbox\": [430, 133, 496, 146]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5641190_010_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
SinoMed[EMPTY_CELL][EMPTY_CELL]PubMed
[EMPTY_CELL]Biology BasisDetailed Information
[EMPTY_CELL]InflammationApoptosisProto-Oncogene Proteins c-bcl-2, Caspase 3, bcl-2- Associated × Protein, Caspases, Nitric Oxide Synthase, Prostaglandin-Endoperoxide Synthases, Vascular Endothelial Growth Factors
[EMPTY_CELL][EMPTY_CELL]LeukocytesInterleukin-2, Leukotriene B4, Linoleic Acid, Throm-boxane B2, Triglycerides
[EMPTY_CELL][EMPTY_CELL]MonocytesInterleukin-1, Tumor Necrosis Factor-alpha, Interleukin-6, NF-kappa B, Intercellular Adhesion Molecule-1
[EMPTY_CELL][EMPTY_CELL]CytokinesInterleukin-6, Tumor Necrosis Factor-alpha, Interleukin-1, Interleukin-10, Thromboxane B2, 6-Ketoprostaglandin F1 alpha, Cyclooxygenase 1, Cyclooxygenase 2, Leukotriene B4, NF-kappa B, Prostaglandin-Endoperoxide Synthases, Toll-Like Receptor 4
[EMPTY_CELL][EMPTY_CELL]MacrophagesEicosapentaenoic Acid, Interleukin-2, Prostaglandins E, Tumor Necrosis Factor-alpha, Interleukin-1, Leukotriene B4, Endothelial Growth Factors, Prostaglandin-Endoperoxide Synthases, Thromboxane B2, Vascular Endothelial Growth Factor A, Vascular Endothelial Growth Factors
[EMPTY_CELL]InflammationApoptosisCaspase 3, Tumor Necrosis Factor-alpha, Caspases, NF-kappa B, Proto-Oncogene Proteins c-bcl-2, bcl-2-Associated × Protein, Interleukin-10, Interleukin-6, Nitric Oxide Synthase Type II, Transforming Growth Factor beta1, Tumor Suppressor Protein p53
[EMPTY_CELL][EMPTY_CELL]LeukocytesCyclooxygenase 1, E-Selectin, Intercellular Adhesion Molecule-1, NF-kappa B, Phospholipases A, Tumor Necrosis Factor-alpha
[EMPTY_CELL][EMPTY_CELL]MonocytesTumor Necrosis Factor-alpha
[EMPTY_CELL][EMPTY_CELL]CytokinesInterleukin-2, Interleukin-10, Interleukin-6, Interleukin-1, Interleukin-8, Matrix Metalloproteinase 9, Toll-Like Receptor 4, Transforming Growth Factor beta1, Tumor Necrosis Factor-alpha, Vascular Endothelial Growth Factor A
[EMPTY_CELL][EMPTY_CELL]MacrophagesInterleukin-1, Interleukin-2, NF-kappa B, Toll-Like Receptor 4
\", \"cells\": [{\"cell\": \"SinoMed\", \"bbox\": [1, 4, 33, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"PubMed\", \"bbox\": [136, 4, 166, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 30, 36]}, {\"cell\": \"Biology Basis\", \"bbox\": [61, 17, 109, 27]}, {\"cell\": \"Detailed Information\", \"bbox\": [136, 17, 210, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 39, 32, 49]}, {\"cell\": \"Inflammation\", \"bbox\": [39, 39, 83, 49]}, {\"cell\": \"Apoptosis\", \"bbox\": [87, 39, 121, 49]}, {\"cell\": \"Proto-Oncogene Proteins c-bcl-2, Caspase 3, bcl-2- Associated × Protein, Caspases, Nitric Oxide Synthase, Prostaglandin-Endoperoxide Synthases, Vascular Endothelial Growth Factors\", \"bbox\": [136, 39, 359, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Leukocytes\", \"bbox\": [87, 70, 124, 80]}, {\"cell\": \"Interleukin-2, Leukotriene B4, Linoleic Acid, Throm-boxane B2, Triglycerides\", \"bbox\": [136, 70, 336, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Monocytes\", \"bbox\": [87, 93, 124, 102]}, {\"cell\": \"Interleukin-1, Tumor Necrosis Factor-alpha, Interleukin-6, NF-kappa B, Intercellular Adhesion Molecule-1\", \"bbox\": [136, 93, 358, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Cytokines\", \"bbox\": [87, 115, 119, 124]}, {\"cell\": \"Interleukin-6, Tumor Necrosis Factor-alpha, Interleukin-1, Interleukin-10, Thromboxane B2, 6-Ketoprostaglandin F1 alpha, Cyclooxygenase 1, Cyclooxygenase 2, Leukotriene B4, NF-kappa B, Prostaglandin-Endoperoxide Synthases, Toll-Like Receptor 4\", \"bbox\": [136, 115, 357, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Macrophages\", \"bbox\": [87, 155, 132, 164]}, {\"cell\": \"Eicosapentaenoic Acid, Interleukin-2, Prostaglandins E, Tumor Necrosis Factor-alpha, Interleukin-1, Leukotriene B4, Endothelial Growth Factors, Prostaglandin-Endoperoxide Synthases, Thromboxane B2, Vascular Endothelial Growth Factor A, Vascular Endothelial Growth Factors\", \"bbox\": [136, 155, 363, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 204, 35, 214]}, {\"cell\": \"Inflammation\", \"bbox\": [39, 204, 83, 214]}, {\"cell\": \"Apoptosis\", \"bbox\": [87, 204, 121, 214]}, {\"cell\": \"Caspase 3, Tumor Necrosis Factor-alpha, Caspases, NF-kappa B, Proto-Oncogene Proteins c-bcl-2, bcl-2-Associated × Protein, Interleukin-10, Interleukin-6, Nitric Oxide Synthase Type II, Transforming Growth Factor beta1, Tumor Suppressor Protein p53\", \"bbox\": [136, 204, 362, 240]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Leukocytes\", \"bbox\": [87, 244, 124, 254]}, {\"cell\": \"Cyclooxygenase 1, E-Selectin, Intercellular Adhesion Molecule-1, NF-kappa B, Phospholipases A, Tumor Necrosis Factor-alpha\", \"bbox\": [136, 244, 356, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Monocytes\", \"bbox\": [87, 266, 124, 276]}, {\"cell\": \"Tumor Necrosis Factor-alpha\", \"bbox\": [136, 266, 229, 276]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Cytokines\", \"bbox\": [87, 279, 119, 289]}, {\"cell\": \"Interleukin-2, Interleukin-10, Interleukin-6, Interleukin-1, Interleukin-8, Matrix Metalloproteinase 9, Toll-Like Receptor 4, Transforming Growth Factor beta1, Tumor Necrosis Factor-alpha, Vascular Endothelial Growth Factor A\", \"bbox\": [136, 279, 362, 316]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Macrophages\", \"bbox\": [87, 320, 132, 329]}, {\"cell\": \"Interleukin-1, Interleukin-2, NF-kappa B, Toll-Like Receptor 4\", \"bbox\": [136, 320, 328, 329]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3141583_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
ProvinceDistrictMain vegetable cropsPrevious surveys (2005)Number of farmers sampled (2008)Balanced data (farmers)
DomesticExport
CentralKiambuCabbages, kales, and spinach[EMPTY_CELL]482719
KirinyagaPeas, tomatoesFrench beans[EMPTY_CELL]7466
Muranga Tomatoes, kalesFrench beans[EMPTY_CELL]2421
NyandaruaCabbages, potatoes[EMPTY_CELL][EMPTY_CELL]5249
Nyeri NorthPeas, cabbage, onions, and carrotsFrench beans[EMPTY_CELL]116107
EasternMakueniCabbages, kales[EMPTY_CELL]49228
Meru CentralPeas, tomatoes, cabbage, and onionsFrench beans[EMPTY_CELL]11093
\", \"cells\": [{\"cell\": \"Province\", \"bbox\": [2, 9, 36, 20]}, {\"cell\": \"District\", \"bbox\": [48, 9, 77, 20]}, {\"cell\": \"Main vegetable crops\", \"bbox\": [124, 4, 202, 15]}, {\"cell\": \"Previous surveys (2005)\", \"bbox\": [238, 5, 300, 26]}, {\"cell\": \"Number of farmers sampled (2008)\", \"bbox\": [324, 5, 395, 26]}, {\"cell\": \"Balanced data (farmers)\", \"bbox\": [411, 9, 499, 20]}, {\"cell\": \"Domestic\", \"bbox\": [110, 18, 147, 29]}, {\"cell\": \"Export\", \"bbox\": [188, 17, 214, 28]}, {\"cell\": \"Central\", \"bbox\": [2, 65, 31, 76]}, {\"cell\": \"Kiambu\", \"bbox\": [47, 35, 78, 46]}, {\"cell\": \"Cabbages, kales, and spinach\", \"bbox\": [98, 31, 158, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"48\", \"bbox\": [268, 36, 279, 47]}, {\"cell\": \"27\", \"bbox\": [355, 36, 365, 47]}, {\"cell\": \"19\", \"bbox\": [450, 35, 459, 46]}, {\"cell\": \"Kirinyaga\", \"bbox\": [44, 54, 81, 64]}, {\"cell\": \"Peas, tomatoes\", \"bbox\": [101, 54, 156, 65]}, {\"cell\": \"French beans\", \"bbox\": [176, 54, 226, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 54, 280, 65]}, {\"cell\": \"74\", \"bbox\": [355, 54, 365, 65]}, {\"cell\": \"66\", \"bbox\": [449, 54, 460, 64]}, {\"cell\": \"Muranga \", \"bbox\": [45, 67, 80, 78]}, {\"cell\": \"Tomatoes, kales\", \"bbox\": [99, 68, 158, 78]}, {\"cell\": \"French beans\", \"bbox\": [176, 67, 226, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 68, 278, 78]}, {\"cell\": \"24\", \"bbox\": [355, 68, 365, 78]}, {\"cell\": \"21\", \"bbox\": [450, 67, 459, 78]}, {\"cell\": \"Nyandarua\", \"bbox\": [41, 80, 83, 91]}, {\"cell\": \"Cabbages, potatoes\", \"bbox\": [93, 81, 164, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [268, 81, 280, 92]}, {\"cell\": \"52\", \"bbox\": [355, 81, 365, 92]}, {\"cell\": \"49\", \"bbox\": [449, 80, 460, 91]}, {\"cell\": \"Nyeri North\", \"bbox\": [39, 98, 85, 109]}, {\"cell\": \"Peas, cabbage, onions, and carrots\", \"bbox\": [93, 93, 164, 115]}, {\"cell\": \"French beans\", \"bbox\": [176, 98, 226, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [266, 99, 281, 109]}, {\"cell\": \"116\", \"bbox\": [354, 99, 366, 109]}, {\"cell\": \"107\", \"bbox\": [448, 98, 462, 109]}, {\"cell\": \"Eastern\", \"bbox\": [2, 128, 32, 139]}, {\"cell\": \"Makueni\", \"bbox\": [45, 117, 79, 127]}, {\"cell\": \"Cabbages, kales\", \"bbox\": [99, 118, 157, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [169, 115, 233, 127]}, {\"cell\": \"49\", \"bbox\": [268, 118, 279, 128]}, {\"cell\": \"22\", \"bbox\": [355, 118, 365, 128]}, {\"cell\": \"8\", \"bbox\": [452, 117, 458, 127]}, {\"cell\": \"Meru Central\", \"bbox\": [37, 140, 88, 150]}, {\"cell\": \"Peas, tomatoes, cabbage, and onions\", \"bbox\": [100, 130, 157, 162]}, {\"cell\": \"French beans\", \"bbox\": [176, 140, 226, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 140, 281, 151]}, {\"cell\": \"110\", \"bbox\": [354, 140, 366, 151]}, {\"cell\": \"93\", \"bbox\": [450, 140, 460, 150]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4689878_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
CharacteristicCataract (n = 409)No cataracts (n = 8934)P value
n%n%
Male14134.5[EMPTY_CELL]49.1<0.001
Ethnic Han40298.3[EMPTY_CELL]96.00.018
Age, years[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]<0.001
<656315.4[EMPTY_CELL]32.9[EMPTY_CELL]
65–699322.7[EMPTY_CELL]25.0[EMPTY_CELL]
70–748220.0[EMPTY_CELL]15.4[EMPTY_CELL]
75–798420.5[EMPTY_CELL]13.4[EMPTY_CELL]
80–845814.2[EMPTY_CELL]8.9[EMPTY_CELL]
≥85297.1[EMPTY_CELL]4.3[EMPTY_CELL]
BMI, kg/m2[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.021
18.5–24.9923359.4[EMPTY_CELL]66.2[EMPTY_CELL]
<18.50317.9[EMPTY_CELL]6.2[EMPTY_CELL]
>24.9912832.7[EMPTY_CELL]27.6[EMPTY_CELL]
Education[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.260
Illiterate or semiliterate18846.0[EMPTY_CELL]50.9[EMPTY_CELL]
Primary school18946.2[EMPTY_CELL]41.9[EMPTY_CELL]
Junior high school266.4[EMPTY_CELL]6.0[EMPTY_CELL]
High school graduation or higher61.5[EMPTY_CELL]1.2[EMPTY_CELL]
Marital status[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]<0.001
Unmarried30.7[EMPTY_CELL]1.7[EMPTY_CELL]
Married26765.3[EMPTY_CELL]75.7[EMPTY_CELL]
Widowed13633.3[EMPTY_CELL]22.2[EMPTY_CELL]
Divorced30.7[EMPTY_CELL]0.4[EMPTY_CELL]
Pesticide exposure23557.7[EMPTY_CELL]61.10.170
Dust exposure379.3[EMPTY_CELL]2.5<0.001
Irritant gas exposure41.0[EMPTY_CELL]0.30.006
Heavy metal exposure92.3[EMPTY_CELL]0.2<0.001
Family income, 1000 ¥ per year[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]<0.001
<108220.1[EMPTY_CELL]22.1[EMPTY_CELL]
10–4925562.5[EMPTY_CELL]48.8[EMPTY_CELL]
50–994611.3[EMPTY_CELL]14.5[EMPTY_CELL]
100–149163.9[EMPTY_CELL]9.1[EMPTY_CELL]
150–19930.7[EMPTY_CELL]3.8[EMPTY_CELL]
≥20061.5[EMPTY_CELL]1.8[EMPTY_CELL]
Health insurance40799.5[EMPTY_CELL]99.60.789
High blood pressure15537.9[EMPTY_CELL]44.40.009
Hyperlipidemia276.6[EMPTY_CELL]4.80.092
Diabetes409.8[EMPTY_CELL]8.20.273
Family history of cataracts174.8[EMPTY_CELL]0.3<0.001
Smoking[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]<0.001
Current smoker4811.7[EMPTY_CELL]21.8[EMPTY_CELL]
Ex-smoker409.8[EMPTY_CELL]9.9[EMPTY_CELL]
Nonsmoker32178.5[EMPTY_CELL]68.3[EMPTY_CELL]
Alcohol drinking[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.024
Current drinker8119.8[EMPTY_CELL]25.4[EMPTY_CELL]
Ex-drinker358.6[EMPTY_CELL]9.2[EMPTY_CELL]
Nondrinker29371.6[EMPTY_CELL]65.3[EMPTY_CELL]
Physical activity[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]<0.001
None26765.3[EMPTY_CELL]82.1[EMPTY_CELL]
1–3 times per week317.6[EMPTY_CELL]3.2[EMPTY_CELL]
>3 times per week11127.1[EMPTY_CELL]14.7[EMPTY_CELL]
Vitamin Aa20.5[EMPTY_CELL]0.20.165
β-carotenea20.5[EMPTY_CELL]0.03<0.001
Vitamin Ba10.2[EMPTY_CELL]0.10.326
Vitamin Ca20.5[EMPTY_CELL]0.10.053
Vitamin Ea10.2[EMPTY_CELL]0.20.719
Calcium tabletsa4210.3[EMPTY_CELL]8.20.132
Irona10.2[EMPTY_CELL]0.20.669
Tea consumption5814.2[EMPTY_CELL]27.6<0.001
Type[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]<0.001
Nondrinker35185.8[EMPTY_CELL]72.4[EMPTY_CELL]
Green tea4310.5[EMPTY_CELL]21.4[EMPTY_CELL]
Black tea82.0[EMPTY_CELL]5.4[EMPTY_CELL]
Other71.7[EMPTY_CELL]0.9[EMPTY_CELL]
Tea intake, cups per week[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]<0.001
None35185.8[EMPTY_CELL]72.4[EMPTY_CELL]
<14194.6[EMPTY_CELL]6.0[EMPTY_CELL]
14–27215.1[EMPTY_CELL]10.9[EMPTY_CELL]
≥28184.4[EMPTY_CELL]10.8[EMPTY_CELL]
Concentration of tea[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]<0.001
Zero35185.8[EMPTY_CELL]72.4[EMPTY_CELL]
Light204.9[EMPTY_CELL]6.5[EMPTY_CELL]
Moderate245.9[EMPTY_CELL]16.3[EMPTY_CELL]
Thick143.4[EMPTY_CELL]4.8[EMPTY_CELL]
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\"[EMPTY_CELL]\", \"bbox\": [170, 489, 178, 497]}, {\"cell\": \"0.2\", \"bbox\": [200, 489, 210, 497]}, {\"cell\": \"0.669\", \"bbox\": [230, 489, 246, 497]}, {\"cell\": \"Tea consumption\", \"bbox\": [3, 497, 50, 505]}, {\"cell\": \"58\", \"bbox\": [111, 497, 119, 505]}, {\"cell\": \"14.2\", \"bbox\": [133, 497, 146, 505]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 497, 178, 505]}, {\"cell\": \"27.6\", \"bbox\": [196, 497, 210, 505]}, {\"cell\": \"<0.001\", \"bbox\": [226, 497, 246, 505]}, {\"cell\": \"Type\", \"bbox\": [3, 505, 17, 513]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.001\", \"bbox\": [226, 505, 246, 513]}, {\"cell\": \" Nondrinker\", \"bbox\": [8, 513, 39, 521]}, {\"cell\": \"351\", \"bbox\": [107, 513, 119, 521]}, {\"cell\": \"85.8\", \"bbox\": [133, 513, 146, 521]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 513, 178, 521]}, {\"cell\": \"72.4\", \"bbox\": [196, 513, 210, 521]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Green tea\", \"bbox\": [8, 521, 37, 529]}, {\"cell\": \"43\", \"bbox\": [111, 521, 119, 529]}, {\"cell\": \"10.5\", \"bbox\": [133, 521, 146, 529]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 521, 178, 529]}, {\"cell\": \"21.4\", \"bbox\": [196, 521, 210, 529]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Black tea\", \"bbox\": [8, 529, 35, 537]}, {\"cell\": \"8\", \"bbox\": [114, 529, 119, 537]}, {\"cell\": \"2.0\", \"bbox\": [136, 529, 146, 537]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 529, 178, 537]}, {\"cell\": \"5.4\", \"bbox\": [200, 529, 210, 537]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Other\", \"bbox\": [8, 537, 25, 545]}, {\"cell\": \"7\", \"bbox\": [114, 537, 119, 545]}, {\"cell\": \"1.7\", \"bbox\": [136, 537, 146, 545]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 537, 178, 545]}, {\"cell\": \"0.9\", \"bbox\": [200, 537, 210, 545]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Tea intake, cups per week\", \"bbox\": [3, 545, 74, 553]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.001\", \"bbox\": [226, 545, 246, 553]}, {\"cell\": \" None\", \"bbox\": [8, 553, 25, 561]}, {\"cell\": \"351\", \"bbox\": [107, 553, 119, 561]}, {\"cell\": \"85.8\", \"bbox\": [133, 553, 146, 561]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 553, 178, 561]}, {\"cell\": \"72.4\", \"bbox\": [196, 553, 210, 561]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" <14\", \"bbox\": [8, 561, 21, 569]}, {\"cell\": \"19\", \"bbox\": [111, 561, 119, 569]}, {\"cell\": \"4.6\", \"bbox\": [136, 561, 146, 569]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 561, 178, 569]}, {\"cell\": \"6.0\", \"bbox\": [200, 561, 210, 569]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 14–27\", \"bbox\": [8, 569, 27, 577]}, {\"cell\": \"21\", \"bbox\": [111, 569, 119, 577]}, {\"cell\": \"5.1\", \"bbox\": [136, 569, 146, 577]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 569, 178, 577]}, {\"cell\": \"10.9\", \"bbox\": [196, 569, 210, 577]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" ≥28\", \"bbox\": [8, 577, 20, 585]}, {\"cell\": \"18\", \"bbox\": [111, 577, 119, 585]}, {\"cell\": \"4.4\", \"bbox\": [136, 577, 146, 585]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 577, 178, 585]}, {\"cell\": \"10.8\", \"bbox\": [196, 577, 210, 585]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Concentration of tea\", \"bbox\": [3, 585, 58, 593]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.001\", \"bbox\": [226, 585, 246, 593]}, {\"cell\": \" Zero\", \"bbox\": [8, 593, 23, 601]}, {\"cell\": \"351\", \"bbox\": [107, 593, 119, 601]}, {\"cell\": \"85.8\", \"bbox\": [133, 593, 146, 601]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 593, 178, 601]}, {\"cell\": \"72.4\", \"bbox\": [196, 593, 210, 601]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Light\", \"bbox\": [8, 601, 23, 609]}, {\"cell\": \"20\", \"bbox\": [111, 601, 119, 609]}, {\"cell\": \"4.9\", \"bbox\": [136, 601, 146, 609]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 601, 178, 609]}, {\"cell\": \"6.5\", \"bbox\": [200, 601, 210, 609]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Moderate\", \"bbox\": [8, 609, 35, 617]}, {\"cell\": \"24\", \"bbox\": [111, 609, 119, 617]}, {\"cell\": \"5.9\", \"bbox\": [136, 609, 146, 617]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 609, 178, 617]}, {\"cell\": \"16.3\", \"bbox\": [196, 609, 210, 617]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Thick\", \"bbox\": [8, 617, 25, 625]}, {\"cell\": \"14\", \"bbox\": [111, 617, 119, 625]}, {\"cell\": \"3.4\", \"bbox\": [136, 617, 146, 625]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 617, 178, 625]}, {\"cell\": \"4.8\", \"bbox\": [200, 617, 210, 625]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5083322_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Cytokines (pg/mL)NormalControlSL25SL50SL100
IL-658.17 ± 4.5425515.17 ± 96.13#24079.17 ± 632.48∗23759.67 ± 243.89∗∗[EMPTY_CELL]
MIP-1α7259.00 ± 614.0727791.33 ± 33.50#25886.33 ± 247.03∗∗25939.67 ± 58.29∗∗[EMPTY_CELL]
MIP-1β7369.17 ± 2454.092588.00 ± 352.36#24379.50 ± 287.76∗∗23904.33 ± 386.25∗∗[EMPTY_CELL]
MIP-264.33 ± 17.0425599.83 ± 68.31#24114.50 ± 494.84∗∗23695.67 ± 163.49∗∗[EMPTY_CELL]
G-CSF84.33 ± 32.1327370.00 ± 7.00#25154.17 ± 341.76∗∗24702.50 ± 503.57∗∗[EMPTY_CELL]
M-CSF40.67 ± 4.6277.00 ± 6.08#68.67 ± 7.3769.00 ± 5.29[EMPTY_CELL]
GM-CSF57.33 ± 3.796185.17 ± 463.36#4947.83 ± 706.004781.00 ± 547.75[EMPTY_CELL]
TNF-α169.33 ± 17.507013.00 ± 245.35#6393.67 ± 269.24∗6561.17 ± 656.97[EMPTY_CELL]
LIF38.50 ± 4.927757.33 ± 376.11#6878.83 ± 644.826626.33 ± 615.58[EMPTY_CELL]
RANTES134.67 ± 19.0113871.83 ± 257.82#13535.33 ± 1275.8713082.50 ± 907.42[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Cytokines (pg/mL)\", \"bbox\": [2, 4, 73, 15]}, {\"cell\": \"Normal\", \"bbox\": [103, 4, 132, 15]}, {\"cell\": \"Control\", \"bbox\": [184, 4, 214, 15]}, {\"cell\": \"SL25\", \"bbox\": [274, 4, 294, 15]}, {\"cell\": \"SL50\", \"bbox\": [364, 4, 383, 15]}, {\"cell\": \"SL100\", \"bbox\": [451, 4, 474, 15]}, {\"cell\": \"IL-6\", \"bbox\": [2, 17, 20, 27]}, {\"cell\": \"58.17 ± 4.54\", \"bbox\": [95, 14, 139, 29]}, {\"cell\": \"25515.17 ± 96.13#\", \"bbox\": [168, 14, 229, 29]}, {\"cell\": \"24079.17 ± 632.48∗\", \"bbox\": [249, 13, 318, 29]}, {\"cell\": \"23759.67 ± 243.89∗∗\", \"bbox\": [337, 13, 410, 29]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [428, 13, 497, 29]}, {\"cell\": \"MIP-1α\", \"bbox\": [2, 26, 31, 41]}, {\"cell\": \"7259.00 ± 614.07\", \"bbox\": [87, 26, 148, 41]}, {\"cell\": \"27791.33 ± 33.50#\", \"bbox\": [167, 26, 230, 41]}, {\"cell\": \"25886.33 ± 247.03∗∗\", \"bbox\": [248, 25, 320, 41]}, {\"cell\": \"25939.67 ± 58.29∗∗\", \"bbox\": [339, 25, 408, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [429, 25, 496, 41]}, {\"cell\": \"MIP-1β\", \"bbox\": [2, 38, 32, 54]}, {\"cell\": \"7369.17 ± 2454.09\", \"bbox\": [85, 38, 150, 54]}, {\"cell\": \"2588.00 ± 352.36#\", \"bbox\": [166, 38, 231, 54]}, {\"cell\": \"24379.50 ± 287.76∗∗\", \"bbox\": [248, 38, 320, 54]}, {\"cell\": \"23904.33 ± 386.25∗∗\", \"bbox\": [337, 38, 410, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [427, 38, 498, 54]}, {\"cell\": \"MIP-2\", \"bbox\": [2, 54, 28, 65]}, {\"cell\": \"64.33 ± 17.04\", \"bbox\": [94, 51, 141, 66]}, {\"cell\": \"25599.83 ± 68.31#\", \"bbox\": [167, 51, 230, 66]}, {\"cell\": \"24114.50 ± 494.84∗∗\", \"bbox\": [248, 50, 320, 66]}, {\"cell\": \"23695.67 ± 163.49∗∗\", \"bbox\": [337, 50, 410, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [428, 50, 496, 66]}, {\"cell\": \"G-CSF\", \"bbox\": [2, 67, 29, 77]}, {\"cell\": \"84.33 ± 32.13\", \"bbox\": [94, 63, 141, 79]}, {\"cell\": \"27370.00 ± 7.00#\", \"bbox\": [169, 63, 229, 79]}, {\"cell\": \"25154.17 ± 341.76∗∗\", \"bbox\": [249, 63, 319, 79]}, {\"cell\": \"24702.50 ± 503.57∗∗\", \"bbox\": [337, 63, 410, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [427, 63, 498, 79]}, {\"cell\": \"M-CSF\", \"bbox\": [2, 79, 31, 90]}, {\"cell\": \"40.67 ± 4.62\", \"bbox\": [95, 76, 140, 91]}, {\"cell\": \"77.00 ± 6.08#\", \"bbox\": [175, 76, 222, 91]}, {\"cell\": \"68.67 ± 7.37\", \"bbox\": [262, 76, 306, 91]}, {\"cell\": \"69.00 ± 5.29\", \"bbox\": [351, 76, 396, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 76, 485, 91]}, {\"cell\": \"GM-CSF\", \"bbox\": [2, 91, 37, 102]}, {\"cell\": \"57.33 ± 3.79\", \"bbox\": [96, 88, 139, 104]}, {\"cell\": \"6185.17 ± 463.36#\", \"bbox\": [167, 88, 230, 104]}, {\"cell\": \"4947.83 ± 706.00\", \"bbox\": [253, 88, 315, 104]}, {\"cell\": \"4781.00 ± 547.75\", \"bbox\": [344, 88, 403, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [430, 88, 495, 104]}, {\"cell\": \"TNF-α\", \"bbox\": [2, 101, 30, 116]}, {\"cell\": \"169.33 ± 17.50\", \"bbox\": [93, 101, 142, 116]}, {\"cell\": \"7013.00 ± 245.35#\", \"bbox\": [167, 101, 230, 116]}, {\"cell\": \"6393.67 ± 269.24∗\", \"bbox\": [251, 100, 316, 116]}, {\"cell\": \"6561.17 ± 656.97\", \"bbox\": [344, 101, 403, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [430, 101, 495, 116]}, {\"cell\": \"LIF\", \"bbox\": [2, 116, 17, 127]}, {\"cell\": \"38.50 ± 4.92\", \"bbox\": [95, 113, 140, 129]}, {\"cell\": \"7757.33 ± 376.11#\", \"bbox\": [169, 113, 229, 129]}, {\"cell\": \"6878.83 ± 644.82\", \"bbox\": [253, 113, 315, 129]}, {\"cell\": \"6626.33 ± 615.58\", \"bbox\": [343, 113, 404, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [432, 113, 493, 129]}, {\"cell\": \"RANTES\", \"bbox\": [2, 129, 38, 139]}, {\"cell\": \"134.67 ± 19.01\", \"bbox\": [92, 126, 143, 141]}, {\"cell\": \"13871.83 ± 257.82#\", \"bbox\": [166, 126, 231, 141]}, {\"cell\": \"13535.33 ± 1275.87\", \"bbox\": [251, 126, 317, 141]}, {\"cell\": \"13082.50 ± 907.42\", \"bbox\": [341, 126, 406, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [430, 126, 495, 141]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4641954_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
AnalyteControlVEGF highVEGF lowP (between groups)
HDCL1.6 ± 0.10.9 ± 0.31.3 ± 0.1[EMPTY_CELL]
Total cholesterol3.6 ± 0.14.7 ± 0.33.9 ± 0.1[EMPTY_CELL]
Triglycerides1.7 ± 0.2&3.9 ± 0.3&3.2 ± 0.1[EMPTY_CELL]
IL-1b0.8 ± 0.1&39.2 ± 5.22.9 ± 0.6[EMPTY_CELL]
IL-1Ra31.4 ± 5.5&296.3 ± 83.3&87.6 ± 12.5[EMPTY_CELL]
IL-21.8 ± 0.3&56.2 ± 19.14.2 ± 0.6[EMPTY_CELL]
IL-2Ra29.3 ± 3.2&203.1 ± 73.8&101.7 ± 9.2[EMPTY_CELL]
IL-366.6 ± 6.0&166.8 ± 38.6&154.7 ± 15.9[EMPTY_CELL]
IL-41.1 ± 0.1&36.9 ± 4.52.7 ± 0.4[EMPTY_CELL]
IL-51.0 ± 0.2&13.8 ± 2.1&2.3 ± 0.2[EMPTY_CELL]
IL-62.9 ± 0.7&96.5 ± 22.6&11.0 ± 1.1[EMPTY_CELL]
IL-72.1 ± 0.4&31.6 ± 7.2&3.93 ± 0.5[EMPTY_CELL]
IL-837.9 ± 15.7&100.7 ± 23.324.0 ± 2.4[EMPTY_CELL]
IL-93.5 ± 0.5&173.7 ± 43.8&19.5 ± 3.0[EMPTY_CELL]
IL-103.6 ± 0.7&99.2 ± 21.5&20.7 ± 3.9[EMPTY_CELL]
IL-12(p40)88.1 ± 12.7&233.2 ± 41.6&228.5 ± 17.6[EMPTY_CELL]
IL-12(p70)3.7 ± 0.5&75.7 ± 9.49.5 ± 1.8[EMPTY_CELL]
IL-131.3 ± 0.1&6.5 ± 10.2&6.6 ± 0.7[EMPTY_CELL]
IL-155.4 ± 0.9&91.8 ± 25.2&10.9 ± 1.2[EMPTY_CELL]
IL-172.3 ± 0.6&73.9 ± 15.46.4 ± 1.8[EMPTY_CELL]
IL-188.6 ± 1.5&25.2 ± 5.5&23.4 ± 2.3[EMPTY_CELL]
CCL213.0 ± 1.3&142.5 ± 48.8&25.2 ± 2.7[EMPTY_CELL]
CCL560.9 ± 8.8&6584.9 ± 658.2412.7 ± 107.6[EMPTY_CELL]
CCL1115.5 ± 2.9&157.5 ± 18.5&33.9 ± 3.5[EMPTY_CELL]
CCL27122.7 ± 9.8&39.3 ± 6.6&65.4 ± 5.2[EMPTY_CELL]
CXCL9126.3 ± 19.1&1844.2 ± 476.7&1331.7 ± 115.8[EMPTY_CELL]
CXCL1049.1 ± 7.2&6741.3 ± 652.5&1058.7 ± 120.4[EMPTY_CELL]
G-CSF8.1 ± 0.9&50.9 ± 4.717.7 ± 1.0[EMPTY_CELL]
G-MCSF2.6 ± 0.7&474 ± 7.8&6.7 ± 0.8[EMPTY_CELL]
HGF95.9 ± 13.7&433.8 ± 59.4&283.0 ± 2.4[EMPTY_CELL]
IFN-γ32.6 ± 4.4&139.8 ± 32.2&76.4 ± 6.7[EMPTY_CELL]
M-CSF1.5 ± 0.111.9 ± 4.9&3.0 ± 0.3[EMPTY_CELL]
MIF145.7 ± 25.9&393.1 ± 71.4&342.1 ± 45.1[EMPTY_CELL]
PDGF-b144.6 ± 24.015675.3 ± 11482.3&626.6 ± 73.4[EMPTY_CELL]
SCGF1569.1 ± 246.8&7425.2 ± 1016.7&5874.4 ± 605.3[EMPTY_CELL]
TRAIL15.8 ± 2.5&41.3 ± 6.9&42.2 ± 3.5[EMPTY_CELL]
VEGF15.2 ± 2.5&452.3 ± 67.7&28.2 ± 1.8[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Analyte\", \"bbox\": [2, 9, 32, 20]}, {\"cell\": \"Control\", \"bbox\": [116, 9, 146, 20]}, {\"cell\": \"VEGF high\", \"bbox\": [219, 9, 262, 20]}, {\"cell\": \"VEGF low\", \"bbox\": [330, 9, 369, 20]}, {\"cell\": \"P (between groups)\", \"bbox\": [440, 1, 482, 25]}, {\"cell\": \"HDCL\", \"bbox\": [2, 28, 29, 39]}, {\"cell\": \"1.6 ± 0.1\", \"bbox\": [115, 25, 147, 40]}, {\"cell\": \"0.9 ± 0.3\", \"bbox\": [224, 25, 256, 40]}, {\"cell\": \"1.3 ± 0.1\", \"bbox\": [333, 25, 365, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [449, 24, 473, 39]}, {\"cell\": \"Total cholesterol\", \"bbox\": [2, 40, 43, 62]}, {\"cell\": \"3.6 ± 0.1\", \"bbox\": [115, 42, 147, 58]}, {\"cell\": \"4.7 ± 0.3\", \"bbox\": [224, 42, 256, 58]}, {\"cell\": \"3.9 ± 0.1\", \"bbox\": [333, 42, 365, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [451, 42, 471, 56]}, {\"cell\": \"Triglycerides\", \"bbox\": [2, 64, 51, 75]}, {\"cell\": \"1.7 ± 0.2\", \"bbox\": [115, 61, 147, 76]}, {\"cell\": \"&3.9 ± 0.3\", \"bbox\": [221, 61, 259, 76]}, {\"cell\": \"&3.2 ± 0.1\", \"bbox\": [331, 61, 368, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 60, 471, 75]}, {\"cell\": \"IL-1b\", \"bbox\": [2, 78, 23, 89]}, {\"cell\": \"0.8 ± 0.1\", \"bbox\": [115, 75, 147, 90]}, {\"cell\": \"&39.2 ± 5.2\", \"bbox\": [219, 75, 261, 90]}, {\"cell\": \"2.9 ± 0.6\", \"bbox\": [333, 75, 365, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [446, 74, 475, 89]}, {\"cell\": \"IL-1Ra\", \"bbox\": [2, 91, 28, 102]}, {\"cell\": \"31.4 ± 5.5\", \"bbox\": [113, 88, 149, 103]}, {\"cell\": \"&296.3 ± 83.3\", \"bbox\": [215, 88, 265, 103]}, {\"cell\": \"&87.6 ± 12.5\", \"bbox\": [326, 88, 372, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [449, 87, 473, 102]}, {\"cell\": \"IL-2\", \"bbox\": [2, 104, 20, 115]}, {\"cell\": \"1.8 ± 0.3\", \"bbox\": [115, 101, 147, 117]}, {\"cell\": \"&56.2 ± 19.1\", \"bbox\": [217, 101, 263, 117]}, {\"cell\": \"4.2 ± 0.6\", \"bbox\": [333, 101, 365, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [446, 100, 475, 115]}, {\"cell\": \"IL-2Ra\", \"bbox\": [2, 118, 29, 128]}, {\"cell\": \"29.3 ± 3.2\", \"bbox\": [113, 114, 149, 130]}, {\"cell\": \"&203.1 ± 73.8\", \"bbox\": [215, 114, 265, 130]}, {\"cell\": \"&101.7 ± 9.2\", \"bbox\": [326, 114, 372, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 114, 471, 128]}, {\"cell\": \"IL-3\", \"bbox\": [2, 131, 20, 142]}, {\"cell\": \"66.6 ± 6.0\", \"bbox\": [113, 128, 149, 143]}, {\"cell\": \"&166.8 ± 38.6\", \"bbox\": [215, 128, 265, 143]}, {\"cell\": \"&154.7 ± 15.9\", \"bbox\": [324, 128, 374, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"IL-4\", \"bbox\": [2, 144, 20, 155]}, {\"cell\": \"1.1 ± 0.1\", \"bbox\": [115, 141, 147, 156]}, {\"cell\": \"&36.9 ± 4.5\", \"bbox\": [219, 141, 261, 156]}, {\"cell\": \"2.7 ± 0.4\", \"bbox\": [333, 141, 365, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [446, 140, 475, 155]}, {\"cell\": \"IL-5\", \"bbox\": [2, 157, 20, 168]}, {\"cell\": \"1.0 ± 0.2\", \"bbox\": [115, 154, 147, 170]}, {\"cell\": \"&13.8 ± 2.1\", \"bbox\": [219, 154, 261, 170]}, {\"cell\": \"&2.3 ± 0.2\", \"bbox\": [331, 154, 368, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [446, 153, 475, 168]}, {\"cell\": \"IL-6\", \"bbox\": [2, 171, 20, 181]}, {\"cell\": \"2.9 ± 0.7\", \"bbox\": [115, 167, 147, 183]}, {\"cell\": \"&96.5 ± 22.6\", \"bbox\": [217, 167, 263, 183]}, {\"cell\": \"&11.0 ± 1.1\", \"bbox\": [328, 167, 370, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [446, 167, 475, 181]}, {\"cell\": \"IL-7\", \"bbox\": [2, 184, 20, 195]}, {\"cell\": \"2.1 ± 0.4\", \"bbox\": [115, 181, 147, 196]}, {\"cell\": \"&31.6 ± 7.2\", \"bbox\": [219, 181, 261, 196]}, {\"cell\": \"&3.93 ± 0.5\", \"bbox\": [329, 181, 370, 196]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [446, 180, 475, 195]}, {\"cell\": \"IL-8\", \"bbox\": [2, 197, 20, 208]}, {\"cell\": \"37.9 ± 15.7\", \"bbox\": [110, 194, 152, 209]}, {\"cell\": \"&100.7 ± 23.3\", \"bbox\": [215, 194, 265, 209]}, {\"cell\": \"24.0 ± 2.4\", \"bbox\": [331, 194, 368, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [446, 193, 475, 208]}, {\"cell\": \"IL-9\", \"bbox\": [2, 210, 20, 221]}, {\"cell\": \"3.5 ± 0.5\", \"bbox\": [115, 207, 147, 223]}, {\"cell\": \"&173.7 ± 43.8\", \"bbox\": [215, 207, 265, 223]}, {\"cell\": \"&19.5 ± 3.0\", \"bbox\": [328, 207, 370, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [446, 206, 475, 221]}, {\"cell\": \"IL-10\", \"bbox\": [2, 224, 23, 234]}, {\"cell\": \"3.6 ± 0.7\", \"bbox\": [115, 220, 147, 236]}, {\"cell\": \"&99.2 ± 21.5\", \"bbox\": [217, 220, 263, 236]}, {\"cell\": \"&20.7 ± 3.9\", \"bbox\": [328, 220, 370, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [446, 220, 475, 234]}, {\"cell\": \"IL-12(p40)\", \"bbox\": [2, 237, 43, 248]}, {\"cell\": \"88.1 ± 12.7\", \"bbox\": [110, 234, 152, 249]}, {\"cell\": \"&233.2 ± 41.6\", \"bbox\": [215, 234, 265, 249]}, {\"cell\": \"&228.5 ± 17.6\", \"bbox\": [324, 234, 374, 249]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"IL-12(p70)\", \"bbox\": [2, 250, 42, 261]}, {\"cell\": \"3.7 ± 0.5\", \"bbox\": [115, 247, 147, 262]}, {\"cell\": \"&75.7 ± 9.4\", \"bbox\": [219, 247, 261, 262]}, {\"cell\": \"9.5 ± 1.8\", \"bbox\": [333, 247, 365, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [446, 246, 475, 261]}, {\"cell\": \"IL-13\", \"bbox\": [2, 263, 23, 274]}, {\"cell\": \"1.3 ± 0.1\", \"bbox\": [115, 260, 147, 276]}, {\"cell\": \"&6.5 ± 10.2\", \"bbox\": [219, 260, 261, 276]}, {\"cell\": \"&6.6 ± 0.7\", \"bbox\": [331, 260, 368, 276]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [446, 259, 475, 274]}, {\"cell\": \"IL-15\", \"bbox\": [2, 277, 23, 287]}, {\"cell\": \"5.4 ± 0.9\", \"bbox\": [115, 273, 147, 289]}, {\"cell\": \"&91.8 ± 25.2\", \"bbox\": [217, 273, 263, 289]}, {\"cell\": \"&10.9 ± 1.2\", \"bbox\": [328, 273, 370, 289]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [446, 273, 475, 287]}, {\"cell\": \"IL-17\", \"bbox\": [2, 290, 23, 301]}, {\"cell\": \"2.3 ± 0.6\", \"bbox\": [115, 287, 147, 302]}, {\"cell\": \"&73.9 ± 15.4\", \"bbox\": [217, 287, 263, 302]}, {\"cell\": \"6.4 ± 1.8\", \"bbox\": [333, 287, 365, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [446, 286, 475, 301]}, {\"cell\": \"IL-18\", \"bbox\": [2, 303, 23, 314]}, {\"cell\": \"8.6 ± 1.5\", \"bbox\": [115, 300, 147, 315]}, {\"cell\": \"&25.2 ± 5.5\", \"bbox\": [219, 300, 261, 315]}, {\"cell\": \"&23.4 ± 2.3\", \"bbox\": [328, 300, 370, 315]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CCL2\", \"bbox\": [2, 316, 25, 327]}, {\"cell\": \"13.0 ± 1.3\", \"bbox\": [113, 313, 149, 329]}, {\"cell\": \"&142.5 ± 48.8\", \"bbox\": [215, 313, 265, 329]}, {\"cell\": \"&25.2 ± 2.7\", \"bbox\": [328, 313, 370, 329]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [446, 312, 475, 327]}, {\"cell\": \"CCL5\", \"bbox\": [2, 330, 25, 340]}, {\"cell\": \"60.9 ± 8.8\", \"bbox\": [113, 326, 149, 342]}, {\"cell\": \"&6584.9 ± 658.2\", \"bbox\": [211, 326, 270, 342]}, {\"cell\": \"412.7 ± 107.6\", \"bbox\": [324, 326, 374, 342]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [446, 326, 475, 340]}, {\"cell\": \"CCL11\", \"bbox\": [2, 343, 27, 354]}, {\"cell\": \"15.5 ± 2.9\", \"bbox\": [113, 340, 149, 355]}, {\"cell\": \"&157.5 ± 18.5\", \"bbox\": [215, 340, 265, 355]}, {\"cell\": \"&33.9 ± 3.5\", \"bbox\": [328, 340, 370, 355]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [446, 339, 475, 354]}, {\"cell\": \"CCL27\", \"bbox\": [2, 356, 30, 367]}, {\"cell\": \"122.7 ± 9.8\", \"bbox\": [110, 353, 152, 368]}, {\"cell\": \"&39.3 ± 6.6\", \"bbox\": [219, 353, 261, 368]}, {\"cell\": \"&65.4 ± 5.2\", \"bbox\": [328, 353, 370, 368]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [451, 352, 471, 367]}, {\"cell\": \"CXCL9\", \"bbox\": [2, 369, 31, 380]}, {\"cell\": \"126.3 ± 19.1\", \"bbox\": [108, 366, 154, 382]}, {\"cell\": \"&1844.2 ± 476.7\", \"bbox\": [211, 366, 270, 382]}, {\"cell\": \"&1331.7 ± 115.8\", \"bbox\": [320, 366, 379, 382]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CXCL10\", \"bbox\": [2, 383, 34, 393]}, {\"cell\": \"49.1 ± 7.2\", \"bbox\": [113, 379, 149, 395]}, {\"cell\": \"&6741.3 ± 652.5\", \"bbox\": [211, 379, 270, 395]}, {\"cell\": \"&1058.7 ± 120.4\", \"bbox\": [320, 379, 379, 395]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [446, 379, 475, 393]}, {\"cell\": \"G-CSF\", \"bbox\": [2, 396, 29, 407]}, {\"cell\": \"8.1 ± 0.9\", \"bbox\": [115, 393, 147, 408]}, {\"cell\": \"&50.9 ± 4.7\", \"bbox\": [219, 393, 261, 408]}, {\"cell\": \"17.7 ± 1.0\", \"bbox\": [331, 393, 368, 408]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [446, 392, 475, 407]}, {\"cell\": \"G-MCSF\", \"bbox\": [2, 409, 37, 420]}, {\"cell\": \"2.6 ± 0.7\", \"bbox\": [115, 406, 147, 421]}, {\"cell\": \"&474 ± 7.8\", \"bbox\": [220, 406, 260, 421]}, {\"cell\": \"&6.7 ± 0.8\", \"bbox\": [331, 406, 368, 421]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [446, 405, 475, 420]}, {\"cell\": \"HGF\", \"bbox\": [2, 422, 22, 433]}, {\"cell\": \"95.9 ± 13.7\", \"bbox\": [110, 419, 152, 435]}, {\"cell\": \"&433.8 ± 59.4\", \"bbox\": [215, 419, 265, 435]}, {\"cell\": \"&283.0 ± 2.4\", \"bbox\": [326, 419, 372, 435]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 418, 471, 433]}, {\"cell\": \"IFN-γ\", \"bbox\": [2, 432, 27, 448]}, {\"cell\": \"32.6 ± 4.4\", \"bbox\": [113, 432, 149, 448]}, {\"cell\": \"&139.8 ± 32.2\", \"bbox\": [215, 432, 265, 448]}, {\"cell\": \"&76.4 ± 6.7\", \"bbox\": [328, 432, 370, 448]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [451, 432, 471, 446]}, {\"cell\": \"M-CSF\", \"bbox\": [2, 449, 31, 460]}, {\"cell\": \"1.5 ± 0.1\", \"bbox\": [115, 446, 147, 461]}, {\"cell\": \"11.9 ± 4.9\", \"bbox\": [222, 446, 259, 461]}, {\"cell\": \"&3.0 ± 0.3\", \"bbox\": [331, 446, 368, 461]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"MIF\", \"bbox\": [2, 462, 20, 473]}, {\"cell\": \"145.7 ± 25.9\", \"bbox\": [108, 459, 154, 474]}, {\"cell\": \"&393.1 ± 71.4\", \"bbox\": [215, 459, 265, 474]}, {\"cell\": \"&342.1 ± 45.1\", \"bbox\": [324, 459, 374, 474]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"PDGF-b\", \"bbox\": [3, 475, 35, 486]}, {\"cell\": \"144.6 ± 24.0\", \"bbox\": [108, 472, 154, 488]}, {\"cell\": \"15675.3 ± 11482.3\", \"bbox\": [207, 472, 273, 488]}, {\"cell\": \"&626.6 ± 73.4\", \"bbox\": [324, 472, 374, 488]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 472, 471, 486]}, {\"cell\": \"SCGF\", \"bbox\": [3, 489, 26, 499]}, {\"cell\": \"1569.1 ± 246.8\", \"bbox\": [104, 486, 158, 501]}, {\"cell\": \"&7425.2 ± 1016.7\", \"bbox\": [209, 486, 272, 501]}, {\"cell\": \"&5874.4 ± 605.3\", \"bbox\": [320, 486, 379, 501]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TRAIL\", \"bbox\": [3, 502, 30, 513]}, {\"cell\": \"15.8 ± 2.5\", \"bbox\": [113, 499, 149, 514]}, {\"cell\": \"&41.3 ± 6.9\", \"bbox\": [219, 499, 261, 514]}, {\"cell\": \"&42.2 ± 3.5\", \"bbox\": [328, 499, 370, 514]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"VEGF\", \"bbox\": [3, 515, 27, 526]}, {\"cell\": \"15.2 ± 2.5\", \"bbox\": [113, 512, 149, 527]}, {\"cell\": \"&452.3 ± 67.7\", \"bbox\": [215, 512, 265, 527]}, {\"cell\": \"&28.2 ± 1.8\", \"bbox\": [328, 512, 370, 527]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [446, 511, 475, 526]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5178363_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]SUA < 3 mg/dLSUA < 4 mg/dL
Genotype[EMPTY_CELL]3 mg/dL ≤OR95% CI[EMPTY_CELL]4 mg/dL ≤OR95% CI
Males[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
WW43,252[EMPTY_CELL]Reference553,2011Reference
WX or XX17140[EMPTY_CELL]33.9-309.8797858.238.6-87.9
Total213,392[EMPTY_CELL][EMPTY_CELL]1573,279[EMPTY_CELL][EMPTY_CELL]
Females[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
WW531,484[EMPTY_CELL]Reference4361,1011Reference
WX or XX3142[EMPTY_CELL]14.4-45.3581511.96.6-21.5
Total841,526[EMPTY_CELL][EMPTY_CELL]4941,116[EMPTY_CELL][EMPTY_CELL]
Both sexes[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Males with WW43,252[EMPTY_CELL]Reference553,2011Reference
Males with WX or XX17140[EMPTY_CELL]35.3-321.6797863.742.0-96.5
Females with WW531,484[EMPTY_CELL]9.8-75.44361,10122.416.8-29.9
Females with WX or XX3142[EMPTY_CELL]225.4-2006.85815246.3130.9-363.7
Interaction*[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.07-0.80[EMPTY_CELL][EMPTY_CELL]0.170.08-0.35
Total1054,918[EMPTY_CELL][EMPTY_CELL]6284,395[EMPTY_CELL][EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"SUA < 3 mg/dL\", \"bbox\": [173, 4, 228, 13]}, {\"cell\": \"SUA < 4 mg/dL\", \"bbox\": [364, 4, 420, 13]}, {\"cell\": \"Genotype\", \"bbox\": [1, 17, 36, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [113, 17, 152, 27]}, {\"cell\": \"3 mg/dL ≤\", \"bbox\": [165, 17, 204, 27]}, {\"cell\": \"OR\", \"bbox\": [220, 17, 232, 27]}, {\"cell\": \"95% CI\", \"bbox\": [257, 17, 283, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [306, 17, 345, 27]}, {\"cell\": \"4 mg/dL ≤\", \"bbox\": [358, 17, 397, 27]}, {\"cell\": \"OR\", \"bbox\": [414, 17, 426, 27]}, {\"cell\": \"95% CI\", \"bbox\": [448, 17, 474, 27]}, {\"cell\": \"Males\", \"bbox\": [1, 30, 21, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" WW\", \"bbox\": [15, 43, 30, 50]}, {\"cell\": \"4\", \"bbox\": [128, 42, 134, 51]}, {\"cell\": \"3,252\", \"bbox\": [175, 42, 194, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 42, 229, 51]}, {\"cell\": \"Reference\", \"bbox\": [253, 42, 286, 51]}, {\"cell\": \"55\", \"bbox\": [320, 42, 329, 51]}, {\"cell\": \"3,201\", \"bbox\": [368, 42, 387, 51]}, {\"cell\": \"1\", \"bbox\": [417, 42, 423, 51]}, {\"cell\": \"Reference\", \"bbox\": [444, 42, 478, 51]}, {\"cell\": \" WX or XX\", \"bbox\": [15, 54, 47, 63]}, {\"cell\": \"17\", \"bbox\": [126, 54, 136, 63]}, {\"cell\": \"140\", \"bbox\": [178, 54, 191, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [217, 54, 236, 63]}, {\"cell\": \"33.9-309.8\", \"bbox\": [253, 54, 287, 63]}, {\"cell\": \"79\", \"bbox\": [320, 54, 329, 63]}, {\"cell\": \"78\", \"bbox\": [373, 54, 383, 63]}, {\"cell\": \"58.2\", \"bbox\": [412, 54, 427, 63]}, {\"cell\": \"38.6-87.9\", \"bbox\": [446, 54, 476, 63]}, {\"cell\": \" Total\", \"bbox\": [16, 66, 33, 75]}, {\"cell\": \"21\", \"bbox\": [126, 66, 136, 75]}, {\"cell\": \"3,392\", \"bbox\": [175, 66, 194, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"157\", \"bbox\": [318, 66, 331, 75]}, {\"cell\": \"3,279\", \"bbox\": [368, 66, 387, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Females\", \"bbox\": [1, 90, 28, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" WW\", \"bbox\": [15, 103, 30, 110]}, {\"cell\": \"53\", \"bbox\": [126, 102, 136, 111]}, {\"cell\": \"1,484\", \"bbox\": [175, 102, 194, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 102, 229, 111]}, {\"cell\": \"Reference\", \"bbox\": [253, 102, 286, 111]}, {\"cell\": \"436\", \"bbox\": [318, 102, 331, 111]}, {\"cell\": \"1,101\", \"bbox\": [368, 102, 387, 111]}, {\"cell\": \"1\", \"bbox\": [417, 102, 423, 111]}, {\"cell\": \"Reference\", \"bbox\": [444, 102, 478, 111]}, {\"cell\": \" WX or XX\", \"bbox\": [15, 114, 47, 123]}, {\"cell\": \"31\", \"bbox\": [126, 114, 136, 123]}, {\"cell\": \"42\", \"bbox\": [180, 114, 189, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [219, 114, 234, 123]}, {\"cell\": \"14.4-45.3\", \"bbox\": [255, 114, 285, 123]}, {\"cell\": \"58\", \"bbox\": [320, 114, 329, 123]}, {\"cell\": \"15\", \"bbox\": [373, 114, 383, 123]}, {\"cell\": \"11.9\", \"bbox\": [412, 114, 427, 123]}, {\"cell\": \"6.6-21.5\", \"bbox\": [448, 114, 474, 123]}, {\"cell\": \" Total\", \"bbox\": [15, 126, 33, 135]}, {\"cell\": \"84\", \"bbox\": [126, 126, 136, 135]}, {\"cell\": \"1,526\", \"bbox\": [175, 126, 194, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"494\", \"bbox\": [318, 126, 331, 135]}, {\"cell\": \"1,116\", \"bbox\": [368, 126, 387, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Both sexes\", \"bbox\": [1, 150, 37, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Males with WW\", \"bbox\": [15, 162, 68, 171]}, {\"cell\": \"4\", \"bbox\": [128, 162, 134, 171]}, {\"cell\": \"3,252\", \"bbox\": [175, 162, 194, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 162, 229, 171]}, {\"cell\": \"Reference\", 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{\"cell\": \"9.8-75.4\", \"bbox\": [257, 186, 283, 195]}, {\"cell\": \"436\", \"bbox\": [318, 186, 331, 195]}, {\"cell\": \"1,101\", \"bbox\": [368, 186, 387, 195]}, {\"cell\": \"22.4\", \"bbox\": [412, 186, 427, 195]}, {\"cell\": \"16.8-29.9\", \"bbox\": [446, 186, 476, 195]}, {\"cell\": \" Females with WX or XX\", \"bbox\": [15, 198, 92, 207]}, {\"cell\": \"31\", \"bbox\": [126, 198, 136, 207]}, {\"cell\": \"42\", \"bbox\": [180, 198, 189, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [217, 198, 236, 207]}, {\"cell\": \"225.4-2006.8\", \"bbox\": [249, 198, 290, 207]}, {\"cell\": \"58\", \"bbox\": [320, 198, 329, 207]}, {\"cell\": \"15\", \"bbox\": [373, 198, 382, 207]}, {\"cell\": \"246.3\", \"bbox\": [410, 198, 429, 207]}, {\"cell\": \"130.9-363.7\", \"bbox\": [442, 198, 480, 207]}, {\"cell\": \" Interaction*\", \"bbox\": [15, 210, 54, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [219, 210, 234, 218]}, {\"cell\": \"0.07-0.80\", \"bbox\": [255, 210, 285, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.17\", \"bbox\": [412, 210, 427, 218]}, {\"cell\": \"0.08-0.35\", \"bbox\": [446, 210, 476, 218]}, {\"cell\": \" Total\", \"bbox\": [15, 222, 33, 230]}, {\"cell\": \"105\", \"bbox\": [124, 222, 138, 230]}, {\"cell\": \"4,918\", \"bbox\": [175, 222, 194, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"628\", \"bbox\": [318, 222, 331, 230]}, {\"cell\": \"4,395\", \"bbox\": [368, 222, 387, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3060108_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]Data source
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]AQS 2004bNATA 1999c
[EMPTY_CELL]BasisNo. of monitorsNo. of census tracts
Air pollutantCancer riskChronic riskCancer riskChronic riskCancer riskChronic risk
Nickel compoundsXX[EMPTY_CELL][EMPTY_CELL]11
Manganese compounds[EMPTY_CELL]X[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]1
Cadmium compoundsXX[EMPTY_CELL][EMPTY_CELL]21
Titanium tetrachloride[EMPTY_CELL]X[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]1
2,4-DinitrotolueneX[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]1[EMPTY_CELL]
Methyl tert-butyl etherX[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]61[EMPTY_CELL]
1,3-DichloropropeneX[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]9[EMPTY_CELL]
ChloroformX[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]41[EMPTY_CELL]
Methylene chlorideX[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]56[EMPTY_CELL]
(dichloromethane)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
p-DichlorobenzeneX[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]64[EMPTY_CELL]
Propylene oxideX[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]8[EMPTY_CELL]
TetrachloroethyleneX[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]683[EMPTY_CELL]
(perchloroethylene)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
TrichloroethyleneX[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]2[EMPTY_CELL]
1,1,2-TrichloroethaneX[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Bis(2-ethylhexyl)phthalateX[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]895[EMPTY_CELL]
EpichlorohydrinX[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]3[EMPTY_CELL]
(1-chloro-2,3-epoxypropane)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Lead compoundsX[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]1[EMPTY_CELL]
1,2-Dibromo-3-chloropropaneX[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]3[EMPTY_CELL]
1,4-DioxaneX[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]2[EMPTY_CELL]
2,4-ToluenediamineX[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]1[EMPTY_CELL]
AcrylamideX[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]1[EMPTY_CELL]
BenzidineX[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]2[EMPTY_CELL]
Dichloroethyl etherX[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]1[EMPTY_CELL]
Bis(2-chloroethyl)ether[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Polycyclic organic matterX[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]76[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Data source\", \"bbox\": [249, 5, 286, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"AQS 2004b\", \"bbox\": [213, 13, 247, 23]}, {\"cell\": \"NATA 1999c\", \"bbox\": [291, 13, 329, 23]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Basis\", \"bbox\": [142, 23, 160, 32]}, {\"cell\": \"No. of monitors\", \"bbox\": [207, 23, 253, 32]}, {\"cell\": \"No. of census tracts\", \"bbox\": [279, 23, 338, 32]}, {\"cell\": \"Air pollutant\", \"bbox\": [1, 41, 38, 50]}, {\"cell\": \"Cancer risk\", \"bbox\": [120, 32, 142, 50]}, {\"cell\": \"Chronic risk\", \"bbox\": [158, 32, 182, 50]}, {\"cell\": \"Cancer risk\", \"bbox\": [200, 32, 222, 50]}, {\"cell\": \"Chronic risk\", \"bbox\": [237, 32, 261, 50]}, {\"cell\": \"Cancer risk\", \"bbox\": [277, 32, 299, 50]}, {\"cell\": \"Chronic risk\", \"bbox\": [315, 32, 339, 50]}, {\"cell\": \"Nickel compounds\", \"bbox\": [1, 54, 55, 63]}, {\"cell\": \"X\", \"bbox\": [129, 54, 135, 63]}, {\"cell\": \"X\", \"bbox\": [167, 54, 173, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [288, 54, 294, 63]}, {\"cell\": \"1\", \"bbox\": [324, 54, 330, 63]}, {\"cell\": \"Manganese compounds\", \"bbox\": [1, 62, 71, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [167, 62, 173, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [324, 62, 330, 72]}, {\"cell\": \"Cadmium compounds\", \"bbox\": [1, 71, 64, 81]}, {\"cell\": \"X\", \"bbox\": [129, 71, 135, 81]}, {\"cell\": \"X\", \"bbox\": [167, 71, 173, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 71, 215, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2\", \"bbox\": [288, 71, 294, 81]}, {\"cell\": \"1\", \"bbox\": [324, 71, 330, 81]}, {\"cell\": \"Titanium tetrachloride\", \"bbox\": [1, 80, 66, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [167, 80, 173, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [324, 80, 330, 90]}, {\"cell\": \"2,4-Dinitrotoluene\", \"bbox\": [1, 89, 54, 99]}, {\"cell\": \"X\", \"bbox\": [129, 89, 135, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [288, 89, 294, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Methyl tert-butyl ether\", \"bbox\": [0, 98, 68, 107]}, {\"cell\": \"X\", \"bbox\": [129, 98, 135, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 98, 215, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"61\", \"bbox\": [285, 98, 294, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1,3-Dichloropropene\", \"bbox\": [1, 107, 61, 116]}, {\"cell\": \"X\", \"bbox\": [129, 107, 135, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"9\", \"bbox\": [288, 107, 294, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Chloroform\", \"bbox\": [0, 116, 34, 125]}, {\"cell\": \"X\", \"bbox\": [129, 116, 135, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [206, 116, 215, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"41\", \"bbox\": [285, 116, 294, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Methylene chloride\", \"bbox\": [1, 125, 58, 134]}, {\"cell\": \"X\", \"bbox\": [129, 125, 135, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"56\", \"bbox\": [285, 125, 294, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"(dichloromethane)\", \"bbox\": [4, 134, 58, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"p-Dichlorobenzene\", \"bbox\": [1, 143, 56, 152]}, {\"cell\": \"X\", \"bbox\": [129, 143, 135, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"64\", \"bbox\": [285, 143, 294, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Propylene oxide\", \"bbox\": [1, 152, 48, 161]}, {\"cell\": \"X\", \"bbox\": [129, 152, 135, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"8\", \"bbox\": [288, 152, 294, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Tetrachloroethylene\", \"bbox\": [1, 160, 60, 170]}, {\"cell\": \"X\", \"bbox\": [129, 160, 135, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [206, 160, 215, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"683\", \"bbox\": [281, 160, 294, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"(perchloroethylene)\", \"bbox\": [4, 169, 61, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Trichloroethylene\", \"bbox\": [1, 178, 52, 188]}, {\"cell\": \"X\", \"bbox\": [129, 178, 135, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2\", \"bbox\": [288, 178, 294, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1,1,2-Trichloroethane\", \"bbox\": [0, 187, 64, 197]}, {\"cell\": \"X\", \"bbox\": [129, 187, 135, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [206, 187, 215, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Bis(2-ethylhexyl)phthalate\", \"bbox\": [1, 196, 77, 206]}, {\"cell\": \"X\", \"bbox\": [129, 196, 135, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"895\", \"bbox\": [281, 196, 294, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Epichlorohydrin\", \"bbox\": [1, 205, 46, 214]}, {\"cell\": \"X\", \"bbox\": [129, 205, 135, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3\", \"bbox\": [288, 205, 294, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"(1-chloro-2,3-epoxypropane)\", \"bbox\": [4, 214, 86, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Lead compounds\", \"bbox\": [1, 223, 50, 232]}, {\"cell\": \"X\", \"bbox\": [129, 223, 135, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [288, 223, 294, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1,2-Dibromo-3-chloropropane\", \"bbox\": [1, 232, 86, 241]}, {\"cell\": \"X\", \"bbox\": [129, 232, 135, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3\", \"bbox\": [288, 232, 294, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1,4-Dioxane\", \"bbox\": [1, 241, 37, 250]}, {\"cell\": \"X\", \"bbox\": [129, 241, 135, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2\", \"bbox\": [288, 241, 294, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2,4-Toluenediamine\", \"bbox\": [1, 250, 59, 259]}, {\"cell\": \"X\", \"bbox\": [129, 250, 135, 259]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [288, 250, 294, 259]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Acrylamide\", \"bbox\": [1, 258, 35, 268]}, {\"cell\": \"X\", \"bbox\": [129, 258, 135, 268]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [288, 258, 294, 268]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Benzidine\", \"bbox\": [0, 267, 30, 277]}, {\"cell\": \"X\", \"bbox\": [129, 267, 135, 277]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2\", \"bbox\": [288, 267, 294, 277]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Dichloroethyl ether\", \"bbox\": [1, 276, 57, 286]}, {\"cell\": \"X\", \"bbox\": [129, 276, 135, 286]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [288, 276, 294, 286]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Bis(2-chloroethyl)ether\", \"bbox\": [1, 285, 67, 295]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Polycyclic organic matter\", \"bbox\": [1, 294, 74, 304]}, {\"cell\": \"X\", \"bbox\": [129, 294, 135, 304]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"76\", \"bbox\": [285, 294, 294, 304]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2022677_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
FeaturesTypical deepwater riceAshwina/BhadoiaRayada riceWild rice (O. rufipogon )References
Elongation ability[EMPTY_CELL]YesYes (faster)Yes (faster)Perez and Nasiruddin (1974); Hasanuzzaman (1974); Catling (1992); Vaughan (1994); Khush (1997); Bashar et al. (2004); Baruah et al. (2009)
Life cycle (months)[EMPTY_CELL]6-812 and 6-8Perennial
Cold tolerance[EMPTY_CELL]NoYesVarying degree of tolerance
Photoperiod sensitivity[EMPTY_CELL]Less or noStrongly sensitiveSensitive[EMPTY_CELL]
Seed dormancy[EMPTY_CELL]HighNoHigh[EMPTY_CELL]
Responsiveness of short day in early vegetative stage[EMPTY_CELL]YesNo(Not known)[EMPTY_CELL]
Distribution[EMPTY_CELL]Bangladesh and IndiaEndemic to BangladeshSouth and Southeast Asia, Latin America, Australia, West- Africa[EMPTY_CELL]
Examples[EMPTY_CELL]AshwinaKaladigha, Beto, etc.Jhoradhan[EMPTY_CELL]
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[EMPTY_CELL]HSP70GRCu/Zn SODMn SODGPIGF-1IGF-1R
R squarePR squarePR squarePR squarePR squarePR squarePR squareP
Weight[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Control[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Wild0.0460.2650.0460.254[EMPTY_CELL]0.005 **0.2900.002 **0.1540.036 *0.3200.002 **0.0000.917
Hybrid0.0180.4920.0280.393[EMPTY_CELL]0.6010.0230.4400.0140.5470.0380.3110.0370.306
Farm0.0020.7980.0660.178[EMPTY_CELL]0.4630.0150.5330.0070.6630.0230.4420.0620.201
Stress[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Wild0.0950.1110.1610.034 *[EMPTY_CELL]0.8090.0040.7460.1900.023 *0.3240.001 **0.0120.602
Hybrid0.0600.1920.0290.379[EMPTY_CELL]0.5190.0180.5000.0900.1080.0340.3600.0580.208
Farm0.0070.6710.0020.821[EMPTY_CELL]0.4050.0270.4070.0010.8980.0000.9860.0100.607
Period[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Control[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Wild0.0150.5240.0390.293[EMPTY_CELL]0.4380.0020.8360.0490.2500.0050.7310.0100.607
Hybrid0.0900.1200.0180.498[EMPTY_CELL]0.3830.0020.8140.0220.4480.0670.1760.0220.439
Farm0.1780.023 *0.0210.455[EMPTY_CELL]0.6780.0330.3430.0370.3250.0530.2380.0700.173
Stress[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Wild0.0330.3560.0190.488[EMPTY_CELL]0.4830.0000.9510.0530.2490.0470.2570.0000.993
Hybrid0.0570.2040.0580.209[EMPTY_CELL]0.8620.0000.9610.0010.8470.0360.3460.1390.047*
Farm0.0700.1650.0060.678[EMPTY_CELL]0.2440.0230.4390.0090.6340.0280.4070.0120.566
Minutes[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Control[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Wild0.2170.011 *0.0110.587[EMPTY_CELL]0.2310.0830.1230.1130.0740.0500.2520.1300.050 *
Hybrid0.0010.8590.0060.695[EMPTY_CELL]0.8360.0100.6140.0320.3540.0080.6430.0050.721
Farm0.0070.6660.0020.806[EMPTY_CELL]0.6680.0560.2150.0050.7140.1580.036 *0.0300.382
Stress[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Wild0.0080.6430.0250.424[EMPTY_CELL]0.7060.0020.8160.014[EMPTY_CELL]0.0010.8910.0230.462
Hybrid0.0060.6820.0080.650[EMPTY_CELL]0.8300.0500.2520.0260.3950.0130.5700.0790.140
Farm0.0000.9790.0120.570[EMPTY_CELL]0.1100.0020.8210.0020.8190.0700.1830.0010.890
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\"bbox\": [460, 394, 479, 404]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3598671_009_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
ParametersAll Patients n = 165Women n = 72Men n = 93Significance
RangeMedianIQR 25–75MedianIQR 25–75MedianIQR 25–75p
Age, years17–81[EMPTY_CELL]46–6558.553–6553.040.8–65.30.0142
Height, cm143–188[EMPTY_CELL]154–172154151–159170165–176<0.0001
Body weight, kg44.4–120.3[EMPTY_CELL]61.3–78.162.057.3–71.474.968.0–83.1<0.0001
Body surface, m21.34–2.38[EMPTY_CELL]1.59–1.881.591.55–1.711.841.78–1.96<0.0001
Body mass index, kg/m218.4–38.0[EMPTY_CELL]24.0–29.226.124.0–29.826.323.9–29.20.620
Serum creatinine, mg/dL0.57–14.4[EMPTY_CELL]1.05–2.111.190.95–1.671.481.10–3.18<0.0006
24-h UCr, mg444–2102[EMPTY_CELL]842–1337883738–101712701083–1506<0.0001
Body cell mass, kg12.2–45.2[EMPTY_CELL]18.6–28.718.717.1–22.128.425.3–32.5<0.0001
Fat mass, kg3.2–61.2[EMPTY_CELL]15.5–23.221.417.0–26.717.813.6–22.20.0003
Extra-cellular water, kg8.7–46.3[EMPTY_CELL]13.2–17.412.911.7–14.916.615.3–19.1<0.0001
24-h UCr/Body weight, mg/kg8.0–26.3[EMPTY_CELL]12.8–18.013.911.4–15.817.315.1–19.8<0.0001
24-h UCr/ Body cell mass, mg/kg23.7–70.7[EMPTY_CELL]39.2–52.344.739.1–51.946.441.5–52.40.40
\", \"cells\": [{\"cell\": \"Parameters\", \"bbox\": [52, 11, 99, 22]}, {\"cell\": \"All Patients n = 165\", \"bbox\": [203, 5, 284, 16]}, {\"cell\": \"Women n = 72\", \"bbox\": [369, 5, 428, 16]}, {\"cell\": \"Men n = 93\", \"bbox\": [499, 5, 546, 16]}, {\"cell\": \"Significance\", \"bbox\": [590, 5, 642, 16]}, {\"cell\": \"Range\", \"bbox\": [167, 16, 195, 27]}, {\"cell\": \"Median\", \"bbox\": [226, 16, 260, 27]}, {\"cell\": \"IQR 25–75\", \"bbox\": [283, 16, 327, 27]}, {\"cell\": \"Median\", \"bbox\": [351, 16, 384, 27]}, {\"cell\": \"IQR 25–75\", \"bbox\": [408, 16, 452, 27]}, {\"cell\": \"Median\", \"bbox\": [475, 16, 509, 27]}, {\"cell\": \"IQR 25–75\", \"bbox\": [532, 16, 576, 27]}, {\"cell\": \"p\", \"bbox\": [613, 18, 620, 27]}, {\"cell\": \"Age, years\", \"bbox\": [54, 32, 98, 43]}, {\"cell\": \"17–81\", \"bbox\": [169, 32, 193, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [234, 32, 252, 43]}, {\"cell\": \"46–65\", \"bbox\": [293, 32, 318, 43]}, {\"cell\": \"58.5\", \"bbox\": [359, 32, 376, 43]}, {\"cell\": \"53–65\", \"bbox\": [417, 32, 442, 43]}, {\"cell\": \"53.0\", \"bbox\": [483, 32, 501, 43]}, {\"cell\": \"40.8–65.3\", \"bbox\": [535, 32, 573, 43]}, {\"cell\": \"0.0142\", \"bbox\": [603, 32, 629, 43]}, {\"cell\": \"Height, cm\", \"bbox\": [53, 43, 99, 54]}, {\"cell\": \"143–188\", \"bbox\": [164, 43, 198, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 43, 253, 54]}, {\"cell\": \"154–172\", \"bbox\": [289, 43, 322, 54]}, {\"cell\": \"154\", \"bbox\": [360, 43, 375, 54]}, {\"cell\": \"151–159\", \"bbox\": [413, 43, 446, 54]}, {\"cell\": \"170\", \"bbox\": [484, 43, 500, 54]}, {\"cell\": \"165–176\", \"bbox\": [537, 43, 571, 54]}, {\"cell\": \"<0.0001\", \"bbox\": [600, 43, 632, 54]}, {\"cell\": \"Body weight, kg\", \"bbox\": [42, 54, 109, 65]}, {\"cell\": \"44.4–120.3\", \"bbox\": [160, 54, 202, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [234, 54, 252, 65]}, {\"cell\": \"61.3–78.1\", \"bbox\": [286, 54, 324, 65]}, {\"cell\": \"62.0\", \"bbox\": [359, 54, 376, 65]}, {\"cell\": \"57.3–71.4\", \"bbox\": [411, 54, 449, 65]}, {\"cell\": \"74.9\", \"bbox\": [483, 54, 501, 65]}, {\"cell\": \"68.0–83.1\", \"bbox\": [535, 54, 573, 65]}, {\"cell\": \"<0.0001\", \"bbox\": [600, 54, 632, 65]}, {\"cell\": \"Body surface, m2\", \"bbox\": [41, 63, 110, 76]}, {\"cell\": \"1.34–2.38\", \"bbox\": [162, 65, 200, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [234, 65, 252, 76]}, {\"cell\": \"1.59–1.88\", \"bbox\": [286, 65, 324, 76]}, {\"cell\": \"1.59\", \"bbox\": [359, 65, 376, 76]}, {\"cell\": \"1.55–1.71\", \"bbox\": [411, 65, 449, 76]}, {\"cell\": \"1.84\", \"bbox\": [483, 65, 501, 76]}, {\"cell\": \"1.78–1.96\", \"bbox\": [535, 65, 573, 76]}, {\"cell\": \"<0.0001\", \"bbox\": [600, 65, 632, 76]}, {\"cell\": \"Body mass index, kg/m2\", \"bbox\": [25, 75, 126, 88]}, {\"cell\": \"18.4–38.0\", \"bbox\": [162, 76, 200, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [234, 76, 252, 87]}, {\"cell\": \"24.0–29.2\", \"bbox\": [286, 76, 324, 87]}, {\"cell\": \"26.1\", \"bbox\": [359, 76, 376, 87]}, {\"cell\": \"24.0–29.8\", \"bbox\": [411, 76, 449, 87]}, {\"cell\": \"26.3\", \"bbox\": [483, 76, 501, 87]}, {\"cell\": \"23.9–29.2\", \"bbox\": [535, 76, 573, 87]}, {\"cell\": \"0.620\", \"bbox\": [605, 76, 627, 87]}, {\"cell\": \"Serum creatinine, mg/dL\", \"bbox\": [24, 87, 127, 98]}, {\"cell\": \"0.57–14.4\", \"bbox\": [162, 87, 200, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [234, 87, 252, 98]}, {\"cell\": \"1.05–2.11\", \"bbox\": [286, 87, 324, 98]}, {\"cell\": \"1.19\", \"bbox\": [359, 87, 376, 98]}, {\"cell\": \"0.95–1.67\", \"bbox\": [411, 87, 449, 98]}, {\"cell\": \"1.48\", \"bbox\": [483, 87, 501, 98]}, {\"cell\": \"1.10–3.18\", \"bbox\": [535, 87, 573, 98]}, {\"cell\": \"<0.0006\", \"bbox\": [600, 87, 632, 98]}, {\"cell\": \"24-h UCr, mg\", \"bbox\": [48, 98, 103, 109]}, {\"cell\": \"444–2102\", \"bbox\": [162, 98, 200, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 98, 253, 109]}, {\"cell\": \"842–1337\", \"bbox\": [286, 98, 324, 109]}, {\"cell\": \"883\", \"bbox\": [360, 98, 375, 109]}, {\"cell\": \"738–1017\", \"bbox\": [411, 98, 449, 109]}, {\"cell\": \"1270\", \"bbox\": [482, 98, 502, 109]}, {\"cell\": \"1083–1506\", \"bbox\": [533, 98, 575, 109]}, {\"cell\": \"<0.0001\", \"bbox\": [600, 98, 632, 109]}, {\"cell\": \"Body cell mass, kg\", \"bbox\": [38, 109, 113, 121]}, {\"cell\": \"12.2–45.2\", \"bbox\": [162, 109, 200, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [234, 109, 252, 121]}, {\"cell\": \"18.6–28.7\", \"bbox\": [286, 109, 324, 121]}, {\"cell\": \"18.7\", \"bbox\": [359, 109, 376, 121]}, {\"cell\": \"17.1–22.1\", \"bbox\": [411, 109, 449, 121]}, {\"cell\": \"28.4\", \"bbox\": [483, 109, 501, 121]}, {\"cell\": \"25.3–32.5\", \"bbox\": [535, 109, 573, 121]}, {\"cell\": \"<0.0001\", \"bbox\": [600, 109, 632, 121]}, {\"cell\": \"Fat mass, kg\", \"bbox\": [50, 120, 101, 132]}, {\"cell\": \"3.2–61.2\", \"bbox\": [164, 120, 198, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [234, 120, 252, 132]}, {\"cell\": \"15.5–23.2\", \"bbox\": [286, 120, 324, 132]}, {\"cell\": \"21.4\", \"bbox\": [359, 120, 376, 132]}, {\"cell\": \"17.0–26.7\", \"bbox\": [411, 120, 449, 132]}, {\"cell\": \"17.8\", \"bbox\": [483, 120, 501, 132]}, {\"cell\": \"13.6–22.2\", \"bbox\": [535, 120, 573, 132]}, {\"cell\": \"0.0003\", \"bbox\": [603, 120, 629, 132]}, {\"cell\": \"Extra-cellular water, kg\", \"bbox\": [29, 131, 123, 143]}, {\"cell\": \"8.7–46.3\", \"bbox\": [164, 131, 198, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [234, 131, 252, 143]}, {\"cell\": \"13.2–17.4\", \"bbox\": [286, 131, 324, 143]}, {\"cell\": \"12.9\", \"bbox\": [359, 131, 376, 143]}, {\"cell\": \"11.7–14.9\", \"bbox\": [411, 131, 449, 143]}, {\"cell\": \"16.6\", \"bbox\": [483, 131, 501, 143]}, {\"cell\": \"15.3–19.1\", \"bbox\": [535, 131, 573, 143]}, {\"cell\": \"<0.0001\", \"bbox\": [600, 131, 632, 143]}, {\"cell\": \"24-h UCr/Body weight, mg/kg\", \"bbox\": [12, 142, 139, 154]}, {\"cell\": \"8.0–26.3\", \"bbox\": [164, 142, 198, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [234, 142, 252, 154]}, {\"cell\": \"12.8–18.0\", \"bbox\": [286, 142, 324, 154]}, {\"cell\": \"13.9\", \"bbox\": [359, 142, 376, 154]}, {\"cell\": \"11.4–15.8\", \"bbox\": [411, 142, 449, 154]}, {\"cell\": \"17.3\", \"bbox\": [483, 142, 501, 154]}, {\"cell\": \"15.1–19.8\", \"bbox\": [535, 142, 573, 154]}, {\"cell\": \"<0.0001\", \"bbox\": [600, 142, 632, 154]}, {\"cell\": \"24-h UCr/ Body cell mass, mg/kg\", \"bbox\": [7, 153, 145, 165]}, {\"cell\": \"23.7–70.7\", \"bbox\": [162, 153, 200, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [234, 153, 252, 165]}, {\"cell\": \"39.2–52.3\", \"bbox\": [286, 153, 324, 165]}, {\"cell\": \"44.7\", \"bbox\": [359, 153, 376, 165]}, {\"cell\": \"39.1–51.9\", \"bbox\": [411, 153, 449, 165]}, {\"cell\": \"46.4\", \"bbox\": [483, 153, 501, 165]}, {\"cell\": \"41.5–52.4\", \"bbox\": [535, 153, 573, 165]}, {\"cell\": \"0.40\", \"bbox\": [607, 153, 625, 165]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5490532_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Socioeconomic status indicatorsAll patientsn= 176,n(%)Injured patientsn= 116, n(%)Non-injured patientsn= 57,n(%)OR (95% CI)**
[EMPTY_CELL]79 (45.4)52 (45.2)27 (48.2)0.89 (0.47, 1.68)
[EMPTY_CELL]153 (87.4)100 (87.0)52 (91.2)0.64 (0.22, 1.86)
[EMPTY_CELL]148 (84.6)97 (84.3)48 (84.2)1.01 (0.42, 2.42)
[EMPTY_CELL]132 (75.4)89 (77.4)41 (71.9)1.34 (0.65, 2.76)
[EMPTY_CELL]120 (69.0)84 (73.7)34 (59.6)1.89 (0.97, 3.71)
[EMPTY_CELL]138 (78.9)92 (80.0)44 (77.2)1.18 (0.55, 2.55)
[EMPTY_CELL]119 (68.0)85 (73.9)33 (57.9)2.06 (1.05, 4.03)
[EMPTY_CELL]17 (9.7)7 (6.1)9 (15.8)0.35 (0.12, 0.98)1
[EMPTY_CELL]13 (7.4)10 (8.7)3 (5.3)1.71 (0.45, 6.49)
[EMPTY_CELL]33 (18.9)24 (20.9)8 (14.0)1.61 (0.67, 3.86)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]70 (39.8)40 (34.5)28 (49.1)0.54 (0.29, 1.04)
[EMPTY_CELL]106 (60.2)76 (65.5)29 (50.9)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Socioeconomic status indicators\", \"bbox\": [1, 4, 78, 22]}, {\"cell\": \"All patientsn= 176,n(%)\", \"bbox\": [115, 4, 194, 22]}, {\"cell\": \"Injured patientsn= 116, n(%)\", \"bbox\": [206, 4, 301, 22]}, {\"cell\": \"Non-injured patientsn= 57,n(%)\", \"bbox\": [313, 4, 420, 22]}, {\"cell\": \"OR (95% CI)**\", \"bbox\": [433, 4, 483, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 26, 38, 36]}, {\"cell\": \"79 (45.4)\", \"bbox\": [115, 26, 144, 36]}, {\"cell\": \"52 (45.2)\", \"bbox\": [206, 26, 235, 36]}, {\"cell\": \"27 (48.2)\", \"bbox\": [313, 26, 342, 36]}, {\"cell\": \"0.89 (0.47, 1.68)\", \"bbox\": [432, 26, 483, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 40, 33, 50]}, {\"cell\": \"153 (87.4)\", \"bbox\": [115, 40, 148, 50]}, {\"cell\": \"100 (87.0)\", \"bbox\": [206, 40, 239, 50]}, {\"cell\": \"52 (91.2)\", \"bbox\": [313, 40, 342, 50]}, {\"cell\": \"0.64 (0.22, 1.86)\", \"bbox\": [432, 40, 483, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 54, 20, 64]}, {\"cell\": \"148 (84.6)\", \"bbox\": [115, 54, 148, 64]}, {\"cell\": \"97 (84.3)\", \"bbox\": [206, 54, 235, 64]}, {\"cell\": \"48 (84.2)\", \"bbox\": [313, 54, 342, 64]}, {\"cell\": \"1.01 (0.42, 2.42)\", \"bbox\": [432, 54, 483, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 68, 34, 78]}, {\"cell\": \"132 (75.4)\", \"bbox\": [115, 68, 148, 78]}, {\"cell\": \"89 (77.4)\", \"bbox\": [206, 68, 235, 78]}, {\"cell\": \"41 (71.9)\", \"bbox\": [313, 68, 342, 78]}, {\"cell\": \"1.34 (0.65, 2.76)\", \"bbox\": [432, 68, 483, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 82, 55, 92]}, {\"cell\": \"120 (69.0)\", \"bbox\": [115, 82, 148, 92]}, {\"cell\": \"84 (73.7)\", \"bbox\": [206, 82, 235, 92]}, {\"cell\": \"34 (59.6)\", \"bbox\": [313, 82, 342, 92]}, {\"cell\": \"1.89 (0.97, 3.71)\", \"bbox\": [432, 82, 483, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 96, 23, 106]}, {\"cell\": \"138 (78.9)\", \"bbox\": [115, 96, 148, 106]}, {\"cell\": \"92 (80.0)\", \"bbox\": [206, 96, 235, 106]}, {\"cell\": \"44 (77.2)\", \"bbox\": [313, 96, 342, 106]}, {\"cell\": \"1.18 (0.55, 2.55)\", \"bbox\": [432, 96, 483, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 110, 39, 120]}, {\"cell\": \"119 (68.0)\", \"bbox\": [115, 110, 148, 120]}, {\"cell\": \"85 (73.9)\", \"bbox\": [206, 110, 235, 120]}, {\"cell\": \"33 (57.9)\", \"bbox\": [313, 110, 342, 120]}, {\"cell\": \"2.06 (1.05, 4.03)\", \"bbox\": [432, 110, 483, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 124, 24, 134]}, {\"cell\": \"17 (9.7)\", \"bbox\": [115, 124, 140, 134]}, {\"cell\": \"7 (6.1)\", \"bbox\": [206, 124, 228, 134]}, {\"cell\": \"9 (15.8)\", \"bbox\": [313, 124, 339, 134]}, {\"cell\": \"0.35 (0.12, 0.98)1\", \"bbox\": [432, 124, 483, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 147, 64, 157]}, {\"cell\": \"13 (7.4)\", \"bbox\": [115, 147, 140, 157]}, {\"cell\": \"10 (8.7)\", \"bbox\": [206, 147, 232, 157]}, {\"cell\": \"3 (5.3)\", \"bbox\": [313, 147, 335, 157]}, {\"cell\": \"1.71 (0.45, 6.49)\", \"bbox\": [432, 147, 483, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 161, 31, 171]}, {\"cell\": \"33 (18.9)\", \"bbox\": [115, 161, 144, 171]}, {\"cell\": \"24 (20.9)\", \"bbox\": [206, 161, 235, 171]}, {\"cell\": \"8 (14.0)\", \"bbox\": [313, 161, 339, 171]}, {\"cell\": \"1.61 (0.67, 3.86)\", \"bbox\": [432, 161, 483, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 175, 76, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 189, 17, 199]}, {\"cell\": \"70 (39.8)\", \"bbox\": [115, 189, 144, 199]}, {\"cell\": \"40 (34.5)\", \"bbox\": [206, 189, 235, 199]}, {\"cell\": \"28 (49.1)\", \"bbox\": [313, 189, 342, 199]}, {\"cell\": \"0.54 (0.29, 1.04)\", \"bbox\": [432, 189, 483, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 203, 32, 213]}, {\"cell\": \"106 (60.2)\", \"bbox\": [115, 203, 148, 213]}, {\"cell\": \"76 (65.5)\", \"bbox\": [206, 203, 235, 213]}, {\"cell\": \"29 (50.9)\", \"bbox\": [313, 203, 342, 213]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3517513_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
HeadacheDizzySwelling pain of head-eyeVertigoWrapped headHeavy-headednessStretching
[EMPTY_CELL]Dizzy visionVisual deteriorationBlurred visionDryEyes bulgeDeaf
[EMPTY_CELL]Chest painDistending pain in hypochondriumSoreness of waistWeakness of kneesOppression in chestStuffiness in chest
[EMPTY_CELL]Abdominal distentionNumbnessAnorexiaDry mouthInsomniaDreamy
[EMPTY_CELL]Bland taste in the mouthSomnolenceConstipationShort urineFrequent nocturiaSloppy stool
[EMPTY_CELL]TorridCold bodyCold limbsFear of coldExing heat in the chest palms and soles[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Headache\", \"bbox\": [2, 9, 40, 19]}, {\"cell\": \"Dizzy\", \"bbox\": [91, 9, 114, 19]}, {\"cell\": \"Swelling pain of head-eye\", \"bbox\": [146, 4, 205, 25]}, {\"cell\": \"Vertigo\", \"bbox\": [235, 9, 263, 19]}, {\"cell\": \"Wrapped head\", \"bbox\": [295, 9, 349, 19]}, {\"cell\": \"Heavy-headedness\", \"bbox\": [373, 4, 416, 25]}, {\"cell\": \"Stretching\", \"bbox\": [448, 9, 487, 19]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 32, 46, 43]}, {\"cell\": \"Dizzy vision\", \"bbox\": [79, 32, 125, 43]}, {\"cell\": \"Visual deterioration\", \"bbox\": [151, 27, 200, 48]}, {\"cell\": \"Blurred vision\", \"bbox\": [222, 32, 275, 43]}, {\"cell\": \"Dry\", \"bbox\": [314, 32, 330, 43]}, {\"cell\": \"Eyes bulge\", \"bbox\": [375, 32, 414, 43]}, {\"cell\": \"Deaf \", \"bbox\": [458, 32, 477, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 61, 35, 71]}, {\"cell\": \"Chest pain\", \"bbox\": [82, 61, 123, 71]}, {\"cell\": \"Distending pain in hypochondrium\", \"bbox\": [145, 50, 206, 82]}, {\"cell\": \"Soreness of waist\", \"bbox\": [227, 56, 270, 77]}, {\"cell\": \"Weakness of knees\", \"bbox\": [299, 56, 345, 77]}, {\"cell\": \"Oppression in chest\", \"bbox\": [368, 56, 421, 77]}, {\"cell\": \"Stuffiness in chest \", \"bbox\": [445, 56, 491, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 84, 48, 105]}, {\"cell\": \"Abdominal distention\", \"bbox\": [81, 84, 124, 105]}, {\"cell\": \"Numbness\", \"bbox\": [155, 89, 196, 100]}, {\"cell\": \"Anorexia\", \"bbox\": [231, 89, 266, 100]}, {\"cell\": \"Dry mouth\", \"bbox\": [300, 89, 343, 100]}, {\"cell\": \"Insomnia\", \"bbox\": [377, 89, 413, 100]}, {\"cell\": \"Dreamy\", \"bbox\": [452, 89, 483, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 107, 52, 128]}, {\"cell\": \"Bland taste in the mouth\", \"bbox\": [77, 107, 128, 128]}, {\"cell\": \"Somnolence\", \"bbox\": [152, 113, 199, 123]}, {\"cell\": \"Constipation\", \"bbox\": [224, 113, 273, 123]}, {\"cell\": \"Short urine\", \"bbox\": [300, 113, 343, 123]}, {\"cell\": \"Frequent nocturia\", \"bbox\": [378, 107, 412, 128]}, {\"cell\": \"Sloppy stool \", \"bbox\": [445, 113, 491, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 136, 61, 157]}, {\"cell\": \"Torrid\", \"bbox\": [90, 141, 115, 152]}, {\"cell\": \"Cold body\", \"bbox\": [156, 141, 195, 152]}, {\"cell\": \"Cold limbs\", \"bbox\": [228, 141, 269, 152]}, {\"cell\": \"Fear of cold\", \"bbox\": [300, 141, 344, 152]}, {\"cell\": \"Exing heat in the chest palms and soles\", \"bbox\": [366, 131, 423, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3371754_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Women (n = 32-33)Men (n = 58-60)
[EMPTY_CELL]Inner urbanSuburbanDifferenceInner urbanSuburbanDifference
ItemMean ± SDMin - maxMean ± SDMin - maxMean ± SDp-valueMean ± SDMin - maxMean ± SDMin - maxMean ± SDp-value
1. On the whole[EMPTY_CELL]4 - 1410.78 ± 2.955 - 15-0.75 ± 2.870.1508.19 ± 3.611 - 1510.24 ± 2.774 - 15-2.05 ± 3.590.000
2. Hinders or stimulates[EMPTY_CELL]3 - 1410.85 ± 3.031 - 15-0.27 ± 3.100.6168.90 ± 3.293 - 1510.66 ± 2.654 - 15-1.76 ± 3.470.000
3. Exhaust fumes[EMPTY_CELL]2 - 158.61 ± 2.843 - 141.58 ± 3.840.0259.68 ± 3.003 - 157.52 ± 3.391 - 152.17 ± 3.660.000
4. Noise[EMPTY_CELL]3 - 158.24 ± 3.101 - 141.82 ± 3.960.0139.83 ± 2.664 - 148.52 ± 3.461 - 141.32 ± 3.590.006
5. Flow of motor vehicles[EMPTY_CELL]3 - 159.45 ± 3.751 - 152.27 ± 4.030.00311.38 ± 2.634 - 159.53 ± 3.951 - 151.84 ± 3.750.000
6. Speeds of motor vehicles[EMPTY_CELL]3 - 159.59 ± 2.343 - 14-0.06 ± 1.500.8158.92 ± 2.771 - 159.31 ± 2.761 - 15-0.39 ± 2.280.195
7. Speeds of bicyclists[EMPTY_CELL]4 - 159.67 ± 2.575 - 150.48 ± 2.540.2817.85 ± 2.044 - 148.55 ± 2.001 - 14-0.70 ± 1.840.005
8. Congestion: all types of vehicles[EMPTY_CELL]2 - 157.50 ± 2.632 - 123.13 ± 3.380.00010.53 ± 3.102 - 156.53 ± 3.111 - 154.00 ± 3.690.000
9. Congestion: bicyclists[EMPTY_CELL]2 - 156.48 ± 3.351 - 133.12 ± 4.580.0008.17 ± 3.811 - 155.15 ± 3.271 - 123.02 ± 3.930.000
10. Conflicts[EMPTY_CELL]1 - 145.70 ± 3.651 - 132.73 ± 3.780.0008.43 ± 3.971 - 155.38 ± 3.371 - 133.05 ± 3.980.000
11. Bicycle paths*[EMPTY_CELL]1 - 107.91 ± 2.182 - 10-0.69 ± 3.250.2406.44 ± 2.470 - 107.46 ± 2.491 - 10-1.02 ± 3.500.029
12. Traffic: unsafe or safe[EMPTY_CELL]3 - 1511.45 ± 2.598 - 15-2.03 ± 3.040.0018.77 ± 3.221 - 1511.62 ± 2.585 - 15-2.85 ± 3.440.000
13. Greenery[EMPTY_CELL]2 - 159.91 ± 3.471 - 15-1.79 ± 4.490.0296.14 ± 3.421 - 1510.20 ± 3.181 - 15-4.07 ± 4.480.000
14. Ugly or beautiful[EMPTY_CELL]5 - 1511.12 ± 3.044 - 150.30 ± 3.790.6499.47 ± 3.323 - 159.18 ± 3.293 - 150.28 ± 4.780.648
15. Course of the route[EMPTY_CELL]1 - 135.38 ± 3.661 - 131.22 ± 2.620.0137.35 ± 3.242 - 145.38 ± 3.381 - 141.97 ± 3.960.000
16. Hilliness[EMPTY_CELL]1 - 136.21 ± 3.871 - 14-0.39 ± 3.400.5104.70 ± 3.301 - 126.52 ± 3.881 - 14-1.82 ± 4.180.001
17. Red lights[EMPTY_CELL]1 - 155.33 ± 3.591 - 152.76 ± 3.640.0007.65 ± 3.931 - 144.23 ± 3.381 - 133.42 ± 4.610.000
18. Short or long[EMPTY_CELL]1 - 106.91 ± 3.221 - 12-0.33 ± 4.070.6416.45 ± 2.222 - 107.20 ± 2.481 - 12-0.75 ± 3.140.069
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Women (n = 32-33)\", \"bbox\": [215, 4, 285, 13]}, {\"cell\": \"Men (n = 58-60)\", \"bbox\": [484, 4, 543, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Inner urban\", \"bbox\": [142, 17, 185, 27]}, {\"cell\": \"Suburban\", \"bbox\": [237, 17, 273, 27]}, {\"cell\": \"Difference\", \"bbox\": [323, 17, 360, 27]}, {\"cell\": \"Inner urban\", \"bbox\": [406, 17, 449, 27]}, {\"cell\": \"Suburban\", \"bbox\": [501, 17, 536, 27]}, {\"cell\": \"Difference\", \"bbox\": [586, 17, 623, 27]}, {\"cell\": \"Item\", \"bbox\": [1, 30, 18, 40]}, {\"cell\": \"Mean ± SD\", \"bbox\": [122, 30, 162, 40]}, {\"cell\": \"Min - max\", \"bbox\": [169, 30, 206, 40]}, {\"cell\": \"Mean ± SD\", \"bbox\": [213, 30, 254, 40]}, {\"cell\": \"Min - max\", \"bbox\": [260, 30, 298, 40]}, {\"cell\": \"Mean ± SD\", \"bbox\": [304, 30, 345, 40]}, {\"cell\": \"p-value\", \"bbox\": [351, 30, 379, 40]}, {\"cell\": \"Mean ± SD\", \"bbox\": [385, 30, 426, 40]}, {\"cell\": \"Min - max\", \"bbox\": [432, 30, 470, 40]}, {\"cell\": \"Mean ± SD\", \"bbox\": [477, 30, 517, 40]}, {\"cell\": \"Min - max\", \"bbox\": [524, 30, 561, 40]}, {\"cell\": \"Mean ± SD\", \"bbox\": [568, 30, 608, 40]}, {\"cell\": \"p-value\", \"bbox\": [614, 30, 642, 40]}, {\"cell\": \"1. On the whole\", \"bbox\": [1, 44, 55, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 44, 163, 53]}, {\"cell\": \"4 - 14\", \"bbox\": [177, 44, 198, 53]}, {\"cell\": \"10.78 ± 2.95\", \"bbox\": [213, 44, 254, 53]}, {\"cell\": \"5 - 15\", \"bbox\": [268, 44, 290, 53]}, {\"cell\": \"-0.75 ± 2.87\", \"bbox\": [304, 44, 344, 53]}, {\"cell\": \"0.150\", \"bbox\": [355, 44, 374, 53]}, {\"cell\": \"8.19 ± 3.61\", \"bbox\": [387, 44, 424, 53]}, {\"cell\": \"1 - 15\", \"bbox\": [441, 44, 462, 53]}, {\"cell\": \"10.24 ± 2.77\", \"bbox\": [476, 44, 518, 53]}, {\"cell\": \"4 - 15\", \"bbox\": [532, 44, 553, 53]}, {\"cell\": \"-2.05 ± 3.59\", \"bbox\": [568, 44, 608, 53]}, {\"cell\": \"0.000\", \"bbox\": [619, 44, 637, 53]}, {\"cell\": \"2. Hinders or stimulates\", \"bbox\": [1, 56, 78, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 56, 163, 65]}, {\"cell\": \"3 - 14\", \"bbox\": [177, 56, 198, 65]}, {\"cell\": \"10.85 ± 3.03\", \"bbox\": [213, 56, 254, 65]}, {\"cell\": \"1 - 15\", \"bbox\": [268, 56, 290, 65]}, {\"cell\": \"-0.27 ± 3.10\", \"bbox\": [304, 56, 344, 65]}, {\"cell\": \"0.616\", \"bbox\": [355, 56, 374, 65]}, {\"cell\": \"8.90 ± 3.29\", \"bbox\": [387, 56, 424, 65]}, {\"cell\": \"3 - 15\", \"bbox\": [441, 56, 462, 65]}, {\"cell\": \"10.66 ± 2.65\", \"bbox\": [476, 56, 518, 65]}, {\"cell\": \"4 - 15\", \"bbox\": [532, 56, 553, 65]}, {\"cell\": \"-1.76 ± 3.47\", \"bbox\": [568, 56, 608, 65]}, {\"cell\": \"0.000\", \"bbox\": [619, 56, 637, 65]}, {\"cell\": \"3. Exhaust fumes\", \"bbox\": [1, 67, 57, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 67, 163, 77]}, {\"cell\": \"2 - 15\", \"bbox\": [177, 67, 198, 77]}, {\"cell\": \"8.61 ± 2.84\", \"bbox\": [215, 67, 252, 77]}, {\"cell\": \"3 - 14\", \"bbox\": [268, 67, 290, 77]}, {\"cell\": \"1.58 ± 3.84\", \"bbox\": [306, 67, 343, 77]}, {\"cell\": \"0.025\", \"bbox\": [355, 67, 374, 77]}, {\"cell\": \"9.68 ± 3.00\", \"bbox\": [387, 67, 424, 77]}, {\"cell\": \"3 - 15\", \"bbox\": [441, 67, 462, 77]}, {\"cell\": \"7.52 ± 3.39\", \"bbox\": [478, 67, 516, 77]}, {\"cell\": \"1 - 15\", \"bbox\": [532, 67, 553, 77]}, {\"cell\": \"2.17 ± 3.66\", \"bbox\": [569, 67, 607, 77]}, {\"cell\": \"0.000\", \"bbox\": [619, 67, 637, 77]}, {\"cell\": \"4. Noise\", \"bbox\": [1, 79, 28, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 79, 163, 89]}, {\"cell\": \"3 - 15\", \"bbox\": [177, 79, 198, 89]}, {\"cell\": \"8.24 ± 3.10\", \"bbox\": [215, 79, 252, 89]}, {\"cell\": \"1 - 14\", \"bbox\": [268, 79, 290, 89]}, {\"cell\": \"1.82 ± 3.96\", \"bbox\": [306, 79, 343, 89]}, {\"cell\": \"0.013\", \"bbox\": [355, 79, 374, 89]}, {\"cell\": \"9.83 ± 2.66\", \"bbox\": [387, 79, 424, 89]}, {\"cell\": \"4 - 14\", \"bbox\": [441, 79, 462, 89]}, {\"cell\": \"8.52 ± 3.46\", \"bbox\": [478, 79, 516, 89]}, {\"cell\": \"1 - 14\", \"bbox\": [532, 79, 553, 89]}, {\"cell\": \"1.32 ± 3.59\", \"bbox\": [569, 79, 607, 89]}, {\"cell\": \"0.006\", \"bbox\": [619, 79, 637, 89]}, {\"cell\": \"5. Flow of motor vehicles\", \"bbox\": [1, 91, 84, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 91, 163, 101]}, {\"cell\": \"3 - 15\", \"bbox\": [177, 91, 198, 101]}, {\"cell\": \"9.45 ± 3.75\", \"bbox\": [215, 91, 252, 101]}, {\"cell\": \"1 - 15\", \"bbox\": [268, 91, 290, 101]}, {\"cell\": \"2.27 ± 4.03\", \"bbox\": [306, 91, 343, 101]}, {\"cell\": \"0.003\", \"bbox\": [355, 91, 374, 101]}, {\"cell\": \"11.38 ± 2.63\", \"bbox\": [385, 91, 426, 101]}, {\"cell\": \"4 - 15\", \"bbox\": [441, 91, 462, 101]}, {\"cell\": \"9.53 ± 3.95\", \"bbox\": [478, 91, 516, 101]}, {\"cell\": \"1 - 15\", \"bbox\": [532, 91, 553, 101]}, {\"cell\": \"1.84 ± 3.75\", \"bbox\": [569, 91, 607, 101]}, {\"cell\": \"0.000\", \"bbox\": [619, 91, 637, 101]}, {\"cell\": \"6. Speeds of motor vehicles\", \"bbox\": [1, 103, 92, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [123, 103, 161, 113]}, {\"cell\": \"3 - 15\", \"bbox\": [177, 103, 198, 113]}, {\"cell\": \"9.59 ± 2.34\", \"bbox\": [215, 103, 252, 113]}, {\"cell\": \"3 - 14\", \"bbox\": [268, 103, 290, 113]}, {\"cell\": \"-0.06 ± 1.50\", \"bbox\": [304, 103, 344, 113]}, {\"cell\": \"0.815\", \"bbox\": [355, 103, 374, 113]}, {\"cell\": \"8.92 ± 2.77\", \"bbox\": [387, 103, 424, 113]}, {\"cell\": \"1 - 15\", \"bbox\": [441, 103, 462, 113]}, {\"cell\": \"9.31 ± 2.76\", \"bbox\": [478, 103, 516, 113]}, {\"cell\": \"1 - 15\", \"bbox\": [532, 103, 553, 113]}, {\"cell\": \"-0.39 ± 2.28\", \"bbox\": [568, 103, 608, 113]}, {\"cell\": \"0.195\", \"bbox\": [619, 103, 637, 113]}, {\"cell\": \"7. Speeds of bicyclists\", \"bbox\": [1, 115, 73, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 115, 163, 125]}, {\"cell\": \"4 - 15\", \"bbox\": [177, 115, 198, 125]}, {\"cell\": \"9.67 ± 2.57\", \"bbox\": [215, 115, 252, 125]}, {\"cell\": \"5 - 15\", \"bbox\": [268, 115, 290, 125]}, {\"cell\": \"0.48 ± 2.54\", \"bbox\": [306, 115, 343, 125]}, {\"cell\": \"0.281\", \"bbox\": [355, 115, 374, 125]}, {\"cell\": \"7.85 ± 2.04\", \"bbox\": [387, 115, 424, 125]}, {\"cell\": \"4 - 14\", \"bbox\": [441, 115, 462, 125]}, {\"cell\": \"8.55 ± 2.00\", \"bbox\": [478, 115, 516, 125]}, {\"cell\": \"1 - 14\", \"bbox\": [532, 115, 553, 125]}, {\"cell\": \"-0.70 ± 1.84\", \"bbox\": [568, 115, 608, 125]}, {\"cell\": \"0.005\", \"bbox\": [619, 115, 637, 125]}, {\"cell\": \"8. Congestion: all types of vehicles\", \"bbox\": [1, 127, 114, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 127, 163, 137]}, {\"cell\": \"2 - 15\", \"bbox\": [177, 127, 198, 137]}, {\"cell\": \"7.50 ± 2.63\", \"bbox\": [215, 127, 252, 137]}, {\"cell\": \"2 - 12\", \"bbox\": [268, 127, 290, 137]}, {\"cell\": \"3.13 ± 3.38\", \"bbox\": [306, 127, 343, 137]}, {\"cell\": \"0.000\", \"bbox\": [355, 127, 374, 137]}, {\"cell\": \"10.53 ± 3.10\", \"bbox\": [385, 127, 426, 137]}, {\"cell\": \"2 - 15\", \"bbox\": [441, 127, 462, 137]}, {\"cell\": \"6.53 ± 3.11\", \"bbox\": [478, 127, 516, 137]}, {\"cell\": \"1 - 15\", \"bbox\": [532, 127, 553, 137]}, {\"cell\": \"4.00 ± 3.69\", \"bbox\": [569, 127, 607, 137]}, {\"cell\": \"0.000\", \"bbox\": [619, 127, 637, 137]}, {\"cell\": \"9. Congestion: bicyclists\", \"bbox\": [1, 139, 79, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [123, 139, 161, 149]}, {\"cell\": \"2 - 15\", \"bbox\": [177, 139, 198, 149]}, {\"cell\": \"6.48 ± 3.35\", \"bbox\": [215, 139, 252, 149]}, {\"cell\": \"1 - 13\", \"bbox\": [268, 139, 290, 149]}, {\"cell\": \"3.12 ± 4.58\", \"bbox\": [306, 139, 343, 149]}, {\"cell\": \"0.000\", \"bbox\": [355, 139, 374, 149]}, {\"cell\": \"8.17 ± 3.81\", \"bbox\": [387, 139, 424, 149]}, {\"cell\": \"1 - 15\", \"bbox\": [441, 139, 462, 149]}, {\"cell\": \"5.15 ± 3.27\", \"bbox\": [478, 139, 516, 149]}, {\"cell\": \"1 - 12\", \"bbox\": [532, 139, 553, 149]}, {\"cell\": \"3.02 ± 3.93\", \"bbox\": [569, 139, 607, 149]}, {\"cell\": \"0.000\", \"bbox\": [619, 139, 637, 149]}, {\"cell\": \"10. Conflicts\", \"bbox\": [1, 151, 41, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [123, 151, 161, 161]}, {\"cell\": \"1 - 14\", \"bbox\": [177, 151, 198, 161]}, {\"cell\": \"5.70 ± 3.65\", \"bbox\": [215, 151, 252, 161]}, {\"cell\": \"1 - 13\", \"bbox\": [268, 151, 290, 161]}, {\"cell\": \"2.73 ± 3.78\", \"bbox\": [306, 151, 343, 161]}, {\"cell\": \"0.000\", \"bbox\": [355, 151, 374, 161]}, {\"cell\": \"8.43 ± 3.97\", \"bbox\": [387, 151, 424, 161]}, {\"cell\": \"1 - 15\", \"bbox\": [441, 151, 462, 161]}, {\"cell\": \"5.38 ± 3.37\", \"bbox\": [478, 151, 516, 161]}, {\"cell\": \"1 - 13\", \"bbox\": [532, 151, 553, 161]}, {\"cell\": \"3.05 ± 3.98\", \"bbox\": [569, 151, 607, 161]}, {\"cell\": \"0.000\", \"bbox\": [619, 151, 637, 161]}, {\"cell\": \"11. Bicycle paths*\", \"bbox\": [1, 163, 59, 173]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [123, 163, 161, 173]}, {\"cell\": \"1 - 10\", \"bbox\": [177, 163, 198, 173]}, {\"cell\": \"7.91 ± 2.18\", \"bbox\": [215, 163, 252, 173]}, {\"cell\": \"2 - 10\", \"bbox\": [268, 163, 290, 173]}, {\"cell\": \"-0.69 ± 3.25\", \"bbox\": [304, 163, 344, 173]}, {\"cell\": \"0.240\", \"bbox\": [355, 163, 374, 173]}, {\"cell\": \"6.44 ± 2.47\", \"bbox\": [387, 163, 424, 173]}, {\"cell\": \"0 - 10\", \"bbox\": [441, 163, 462, 173]}, {\"cell\": \"7.46 ± 2.49\", \"bbox\": [478, 163, 516, 173]}, {\"cell\": \"1 - 10\", \"bbox\": [532, 163, 553, 173]}, {\"cell\": \"-1.02 ± 3.50\", \"bbox\": [568, 163, 608, 173]}, {\"cell\": \"0.029\", \"bbox\": [619, 163, 637, 173]}, {\"cell\": \"12. Traffic: unsafe or safe\", \"bbox\": [1, 175, 82, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [123, 175, 161, 185]}, {\"cell\": \"3 - 15\", \"bbox\": [177, 175, 198, 185]}, {\"cell\": \"11.45 ± 2.59\", \"bbox\": [213, 175, 254, 185]}, {\"cell\": \"8 - 15\", \"bbox\": [268, 175, 290, 185]}, {\"cell\": \"-2.03 ± 3.04\", \"bbox\": [304, 175, 344, 185]}, {\"cell\": \"0.001\", \"bbox\": [355, 175, 374, 185]}, {\"cell\": \"8.77 ± 3.22\", \"bbox\": [387, 175, 424, 185]}, {\"cell\": \"1 - 15\", \"bbox\": [441, 175, 462, 185]}, {\"cell\": \"11.62 ± 2.58\", \"bbox\": [476, 175, 518, 185]}, {\"cell\": \"5 - 15\", \"bbox\": [532, 175, 553, 185]}, {\"cell\": \"-2.85 ± 3.44\", \"bbox\": [568, 175, 608, 185]}, {\"cell\": \"0.000\", \"bbox\": [619, 175, 637, 185]}, {\"cell\": \"13. Greenery\", \"bbox\": [1, 187, 43, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [123, 187, 161, 197]}, {\"cell\": \"2 - 15\", \"bbox\": [177, 187, 198, 197]}, {\"cell\": \"9.91 ± 3.47\", \"bbox\": [215, 187, 252, 197]}, {\"cell\": \"1 - 15\", \"bbox\": [268, 187, 290, 197]}, {\"cell\": \"-1.79 ± 4.49\", \"bbox\": [304, 187, 344, 197]}, {\"cell\": \"0.029\", \"bbox\": [355, 187, 374, 197]}, {\"cell\": \"6.14 ± 3.42\", \"bbox\": [387, 187, 424, 197]}, {\"cell\": \"1 - 15\", \"bbox\": [441, 187, 462, 197]}, {\"cell\": \"10.20 ± 3.18\", \"bbox\": [476, 187, 518, 197]}, {\"cell\": \"1 - 15\", \"bbox\": [532, 187, 553, 197]}, {\"cell\": \"-4.07 ± 4.48\", \"bbox\": [568, 187, 608, 197]}, {\"cell\": \"0.000\", \"bbox\": [619, 187, 637, 197]}, {\"cell\": \"14. Ugly or beautiful\", \"bbox\": [1, 199, 68, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 199, 163, 209]}, {\"cell\": \"5 - 15\", \"bbox\": [177, 199, 198, 209]}, {\"cell\": \"11.12 ± 3.04\", \"bbox\": [213, 199, 254, 209]}, {\"cell\": \"4 - 15\", \"bbox\": [269, 199, 290, 209]}, {\"cell\": \"0.30 ± 3.79\", \"bbox\": [306, 199, 343, 209]}, {\"cell\": \"0.649\", \"bbox\": [355, 199, 374, 209]}, {\"cell\": \"9.47 ± 3.32\", \"bbox\": [387, 199, 424, 209]}, {\"cell\": \"3 - 15\", \"bbox\": [441, 199, 462, 209]}, {\"cell\": \"9.18 ± 3.29\", \"bbox\": [478, 199, 516, 209]}, {\"cell\": \"3 - 15\", \"bbox\": [532, 199, 553, 209]}, {\"cell\": \"0.28 ± 4.78\", \"bbox\": [569, 199, 607, 209]}, {\"cell\": \"0.648\", \"bbox\": [619, 199, 637, 209]}, {\"cell\": \"15. Course of the route\", \"bbox\": [1, 211, 78, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [123, 211, 161, 220]}, {\"cell\": \"1 - 13\", \"bbox\": [177, 211, 198, 220]}, {\"cell\": \"5.38 ± 3.66\", \"bbox\": [215, 211, 252, 220]}, {\"cell\": \"1 - 13\", \"bbox\": [268, 211, 290, 220]}, {\"cell\": \"1.22 ± 2.62\", \"bbox\": [306, 211, 343, 220]}, {\"cell\": \"0.013\", \"bbox\": [355, 211, 374, 220]}, {\"cell\": \"7.35 ± 3.24\", \"bbox\": [387, 211, 424, 220]}, {\"cell\": \"2 - 14\", \"bbox\": [441, 211, 462, 220]}, {\"cell\": \"5.38 ± 3.38\", \"bbox\": [478, 211, 516, 220]}, {\"cell\": \"1 - 14\", \"bbox\": [532, 211, 553, 220]}, {\"cell\": \"1.97 ± 3.96\", \"bbox\": [569, 211, 607, 220]}, {\"cell\": \"0.000\", \"bbox\": [619, 211, 637, 220]}, {\"cell\": \"16. Hilliness\", \"bbox\": [1, 223, 39, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [123, 223, 161, 232]}, {\"cell\": \"1 - 13\", \"bbox\": [177, 223, 198, 232]}, {\"cell\": \"6.21 ± 3.87\", \"bbox\": [215, 223, 252, 232]}, {\"cell\": \"1 - 14\", \"bbox\": [268, 223, 290, 232]}, {\"cell\": \"-0.39 ± 3.40\", \"bbox\": [304, 223, 344, 232]}, {\"cell\": \"0.510\", \"bbox\": [355, 223, 374, 232]}, {\"cell\": \"4.70 ± 3.30\", \"bbox\": [387, 223, 424, 232]}, {\"cell\": \"1 - 12\", \"bbox\": [441, 223, 462, 232]}, {\"cell\": \"6.52 ± 3.88\", \"bbox\": [478, 223, 516, 232]}, {\"cell\": \"1 - 14\", \"bbox\": [532, 223, 553, 232]}, {\"cell\": \"-1.82 ± 4.18\", \"bbox\": [568, 223, 608, 232]}, {\"cell\": \"0.001\", \"bbox\": [619, 223, 637, 232]}, {\"cell\": \"17. Red lights\", \"bbox\": [1, 235, 46, 244]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [123, 235, 161, 244]}, {\"cell\": \"1 - 15\", \"bbox\": [177, 235, 198, 244]}, {\"cell\": \"5.33 ± 3.59\", \"bbox\": [215, 235, 252, 244]}, {\"cell\": \"1 - 15\", \"bbox\": [268, 235, 290, 244]}, {\"cell\": \"2.76 ± 3.64\", \"bbox\": [306, 235, 343, 244]}, {\"cell\": \"0.000\", \"bbox\": [355, 235, 374, 244]}, {\"cell\": \"7.65 ± 3.93\", \"bbox\": [387, 235, 424, 244]}, {\"cell\": \"1 - 14\", \"bbox\": [441, 235, 462, 244]}, {\"cell\": \"4.23 ± 3.38\", \"bbox\": [478, 235, 516, 244]}, {\"cell\": \"1 - 13\", \"bbox\": [532, 235, 553, 244]}, {\"cell\": \"3.42 ± 4.61\", \"bbox\": [569, 235, 607, 244]}, {\"cell\": \"0.000\", \"bbox\": [619, 235, 637, 244]}, {\"cell\": \"18. Short or long\", \"bbox\": [1, 247, 57, 256]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [123, 247, 161, 256]}, {\"cell\": \"1 - 10\", \"bbox\": [177, 247, 198, 256]}, {\"cell\": \"6.91 ± 3.22\", \"bbox\": [215, 247, 252, 256]}, {\"cell\": \"1 - 12\", \"bbox\": [268, 247, 290, 256]}, {\"cell\": \"-0.33 ± 4.07\", \"bbox\": [304, 247, 344, 256]}, {\"cell\": \"0.641\", \"bbox\": [355, 247, 374, 256]}, {\"cell\": \"6.45 ± 2.22\", \"bbox\": [387, 247, 424, 256]}, {\"cell\": \"2 - 10\", \"bbox\": [441, 247, 462, 256]}, {\"cell\": \"7.20 ± 2.48\", \"bbox\": [478, 247, 516, 256]}, {\"cell\": \"1 - 12\", \"bbox\": [532, 247, 553, 256]}, {\"cell\": \"-0.75 ± 3.14\", \"bbox\": [568, 247, 608, 256]}, {\"cell\": \"0.069\", \"bbox\": [619, 247, 637, 256]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3032758_011_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
CharacteristicsPatients evaluatedPopulation estimate
n (missing)Mean (SD)MedianMin–Max
Nb[EMPTY_CELL]464 (6632)4036–1721
Age, years[EMPTY_CELL]63.5 (17.4)63.658.8–68.1
Male, %[EMPTY_CELL]68.3 (153)6843–100
Mean duration of COPD, years[EMPTY_CELL]8.0 (37.9)7.15.8–11.3
Current smokers, %[EMPTY_CELL]43.2 (127)42.90–65.0
Mean of pack-years of cigarettes[EMPTY_CELL]45.2 (98.6)44.034.8–58.5
Mean baseline trough FEV1 (L)[EMPTY_CELL]1.21 (3.65)1.220.89–1.74
Mean % predicted FEV1[EMPTY_CELL]45.6 (129)45.232.8–60.1
% GOLD grade 2[EMPTY_CELL]29 (540)190–99.7
% GOLD grades 3 and 4[EMPTY_CELL]60 (640)540–100
Mean baseline SGRQ score[EMPTY_CELL]49.4 (79.4)48.238.4–58.6
Mean BDI score[EMPTY_CELL]6.3 (8.4)6.45.1–7.0
\", \"cells\": [{\"cell\": \"Characteristics\", \"bbox\": [1, 4, 48, 13]}, {\"cell\": \"Patients evaluated\", \"bbox\": [163, 4, 223, 13]}, {\"cell\": \"Population estimate\", \"bbox\": [279, 4, 345, 13]}, {\"cell\": \"n (missing)\", \"bbox\": [163, 17, 199, 27]}, {\"cell\": \"Mean (SD)\", \"bbox\": [279, 17, 314, 27]}, {\"cell\": \"Median\", \"bbox\": [371, 17, 397, 27]}, {\"cell\": \"Min–Max\", \"bbox\": [453, 17, 484, 27]}, {\"cell\": \"Nb\", \"bbox\": [1, 29, 11, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 30, 187, 40]}, {\"cell\": \"464 (6632)\", \"bbox\": [279, 30, 315, 40]}, {\"cell\": \"403\", \"bbox\": [371, 30, 384, 40]}, {\"cell\": \"6–1721\", \"bbox\": [453, 30, 478, 40]}, {\"cell\": \"Age, years\", \"bbox\": [1, 44, 35, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 44, 187, 54]}, {\"cell\": \"63.5 (17.4)\", \"bbox\": [279, 44, 313, 54]}, {\"cell\": \"63.6\", \"bbox\": [371, 44, 386, 54]}, {\"cell\": \"58.8–68.1\", \"bbox\": [453, 44, 484, 54]}, {\"cell\": \"Male, %\", \"bbox\": [1, 58, 27, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 58, 187, 68]}, {\"cell\": \"68.3 (153)\", \"bbox\": [279, 58, 312, 68]}, {\"cell\": \"68\", \"bbox\": [371, 58, 380, 68]}, {\"cell\": \"43–100\", \"bbox\": [453, 58, 478, 68]}, {\"cell\": \"Mean duration of COPD, years\", \"bbox\": [1, 72, 100, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 72, 187, 82]}, {\"cell\": \"8.0 (37.9)\", \"bbox\": [279, 72, 310, 82]}, {\"cell\": \"7.1\", \"bbox\": [371, 72, 382, 82]}, {\"cell\": \"5.8–11.3\", \"bbox\": [453, 72, 481, 82]}, {\"cell\": \"Current smokers, %\", \"bbox\": [1, 86, 64, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 86, 190, 96]}, {\"cell\": \"43.2 (127)\", \"bbox\": [279, 86, 312, 96]}, {\"cell\": \"42.9\", \"bbox\": [371, 86, 386, 96]}, {\"cell\": \"0–65.0\", \"bbox\": [453, 86, 475, 96]}, {\"cell\": \"Mean of pack-years of cigarettes\", \"bbox\": [1, 100, 106, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 100, 187, 110]}, {\"cell\": \"45.2 (98.6)\", \"bbox\": [279, 100, 313, 110]}, {\"cell\": \"44.0\", \"bbox\": [371, 100, 386, 110]}, {\"cell\": \"34.8–58.5\", \"bbox\": [453, 100, 484, 110]}, {\"cell\": \"Mean baseline trough FEV1 (L)\", \"bbox\": [1, 114, 99, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 114, 186, 124]}, {\"cell\": \"1.21 (3.65)\", \"bbox\": [279, 114, 313, 124]}, {\"cell\": \"1.22\", \"bbox\": [371, 114, 386, 124]}, {\"cell\": \"0.89–1.74\", \"bbox\": [453, 114, 484, 124]}, {\"cell\": \"Mean % predicted FEV1\", \"bbox\": [0, 128, 78, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 128, 187, 138]}, {\"cell\": \"45.6 (129)\", \"bbox\": [279, 128, 312, 138]}, {\"cell\": \"45.2\", \"bbox\": [371, 128, 386, 138]}, {\"cell\": \"32.8–60.1\", \"bbox\": [453, 128, 484, 138]}, {\"cell\": \"% GOLD grade 2\", \"bbox\": [1, 142, 57, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 142, 187, 152]}, {\"cell\": \"29 (540)\", \"bbox\": [279, 142, 307, 152]}, {\"cell\": \"19\", \"bbox\": [371, 142, 380, 152]}, {\"cell\": \"0–99.7\", \"bbox\": [453, 142, 475, 152]}, {\"cell\": \"% GOLD grades 3 and 4\", \"bbox\": [1, 156, 80, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 156, 187, 166]}, {\"cell\": \"60 (640)\", \"bbox\": [279, 156, 307, 166]}, {\"cell\": \"54\", \"bbox\": [371, 156, 380, 166]}, {\"cell\": \"0–100\", \"bbox\": [453, 156, 474, 166]}, {\"cell\": \"Mean baseline SGRQ score\", \"bbox\": [1, 170, 88, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 170, 187, 180]}, {\"cell\": \"49.4 (79.4)\", \"bbox\": [279, 170, 313, 180]}, {\"cell\": \"48.2\", \"bbox\": [371, 170, 386, 180]}, {\"cell\": \"38.4–58.6\", \"bbox\": [453, 170, 484, 180]}, {\"cell\": \"Mean BDI score\", \"bbox\": [1, 184, 53, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 184, 190, 194]}, {\"cell\": \"6.3 (8.4)\", \"bbox\": [279, 184, 306, 194]}, {\"cell\": \"6.4\", \"bbox\": [371, 184, 382, 194]}, {\"cell\": \"5.1–7.0\", \"bbox\": [453, 184, 477, 194]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5422957_004_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]n%
Individual characteristics[EMPTY_CELL][EMPTY_CELL]
Age[EMPTY_CELL][EMPTY_CELL]
18-39[EMPTY_CELL]29.2
40-49[EMPTY_CELL]36.3
50-65[EMPTY_CELL]34.5
Male[EMPTY_CELL]73.7
Educational level[EMPTY_CELL][EMPTY_CELL]
Low[EMPTY_CELL]19.5
Intermediate[EMPTY_CELL]27.0
High[EMPTY_CELL]53.5
Health behaviors and health[EMPTY_CELL][EMPTY_CELL]
Body mass index[EMPTY_CELL][EMPTY_CELL]
Normal weight (BMI < 25 kg/m2)[EMPTY_CELL]48.3
Overweight (25 ≤ BMI < 30 kg/m2)[EMPTY_CELL]40.3
Obese (BMI 30 kg/m2 and higher)[EMPTY_CELL]11.4
Insufficient moderate physical activity (less than 30 min a day)[EMPTY_CELL]50.3
Insufficient vigorous physical activity (less than 3 days a week 20 min)[EMPTY_CELL]76.6
Insufficient fruit and vegetable intake (less than 400 grams a day)[EMPTY_CELL]66.3
Current smoker[EMPTY_CELL]18.8
Less than good self-perceived health[EMPTY_CELL]4.4
Participation in a health promotion program[EMPTY_CELL][EMPTY_CELL]
Intention to participate[EMPTY_CELL]26.2
Participated during the 12 month period prior to enrollment[EMPTY_CELL]12.8
Participation during the six-month follow-up period[EMPTY_CELL]11.2
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"n\", \"bbox\": [207, 4, 213, 13]}, {\"cell\": \"%\", \"bbox\": [225, 4, 233, 13]}, {\"cell\": \"Individual characteristics\", \"bbox\": [1, 17, 88, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Age\", \"bbox\": [1, 31, 15, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"18-39\", \"bbox\": [10, 45, 30, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 45, 217, 55]}, {\"cell\": \"29.2\", \"bbox\": [222, 45, 236, 55]}, {\"cell\": \"40-49\", \"bbox\": [10, 59, 30, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 59, 217, 69]}, {\"cell\": \"36.3\", \"bbox\": [222, 59, 236, 69]}, {\"cell\": \"50-65\", \"bbox\": [10, 73, 30, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 73, 217, 83]}, {\"cell\": \"34.5\", \"bbox\": [222, 73, 236, 83]}, {\"cell\": \"Male\", \"bbox\": [1, 87, 18, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 87, 217, 97]}, {\"cell\": \"73.7\", \"bbox\": [222, 87, 236, 97]}, {\"cell\": \"Educational level\", \"bbox\": [1, 101, 56, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Low\", \"bbox\": [10, 115, 26, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 115, 217, 125]}, {\"cell\": \"19.5\", \"bbox\": [222, 115, 236, 125]}, {\"cell\": \"Intermediate\", \"bbox\": [10, 129, 53, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 129, 217, 139]}, {\"cell\": \"27.0\", \"bbox\": [222, 129, 236, 139]}, {\"cell\": \"High\", \"bbox\": [10, 143, 27, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 143, 217, 153]}, {\"cell\": \"53.5\", \"bbox\": [222, 143, 236, 153]}, {\"cell\": \"Health behaviors and health\", \"bbox\": [1, 157, 101, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Body mass index\", \"bbox\": [1, 171, 57, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Normal weight (BMI < 25 kg/m2)\", \"bbox\": [10, 183, 116, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 185, 217, 195]}, {\"cell\": \"48.3\", \"bbox\": [222, 185, 236, 195]}, {\"cell\": \"Overweight (25 ≤ BMI < 30 kg/m2)\", \"bbox\": [10, 197, 122, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 199, 217, 209]}, {\"cell\": \"40.3\", \"bbox\": [222, 199, 236, 209]}, {\"cell\": \"Obese (BMI 30 kg/m2 and higher)\", \"bbox\": [10, 211, 120, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 213, 215, 223]}, {\"cell\": \"11.4\", \"bbox\": [222, 213, 236, 223]}, {\"cell\": \"Insufficient moderate physical activity (less than 30 min a day)\", \"bbox\": [1, 227, 194, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 227, 217, 237]}, {\"cell\": \"50.3\", \"bbox\": [222, 227, 236, 237]}, {\"cell\": \"Insufficient vigorous physical activity (less than 3 days a week 20 min)\", \"bbox\": [1, 241, 175, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 241, 217, 251]}, {\"cell\": \"76.6\", \"bbox\": [222, 241, 236, 251]}, {\"cell\": \"Insufficient fruit and vegetable intake (less than 400 grams a day)\", \"bbox\": [1, 264, 199, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 264, 217, 274]}, {\"cell\": \"66.3\", \"bbox\": [222, 264, 236, 274]}, {\"cell\": \"Current smoker\", \"bbox\": [1, 278, 52, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 278, 217, 288]}, {\"cell\": \"18.8\", \"bbox\": [222, 278, 236, 288]}, {\"cell\": \"Less than good self-perceived health\", \"bbox\": [1, 292, 121, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 292, 215, 302]}, {\"cell\": \"4.4\", \"bbox\": [223, 292, 234, 302]}, {\"cell\": \"Participation in a health promotion program\", \"bbox\": [1, 306, 158, 315]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Intention to participate\", \"bbox\": [1, 320, 76, 330]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 320, 217, 330]}, {\"cell\": \"26.2\", \"bbox\": [222, 320, 236, 330]}, {\"cell\": \"Participated during the 12 month period prior to enrollment\", \"bbox\": [1, 334, 197, 344]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 334, 215, 344]}, {\"cell\": \"12.8\", \"bbox\": [222, 334, 236, 344]}, {\"cell\": \"Participation during the six-month follow-up period\", \"bbox\": [1, 348, 169, 358]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 348, 215, 358]}, {\"cell\": \"11.2\", \"bbox\": [222, 348, 236, 358]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4066706_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Model 1: Unadjusted associations at t1 (CI)Model 2: Fully adjusted at t1 (CI)Model 3: Unadjusted change in outcome t0 to t1 (CI)Model 4: Fully adjusted change in outcome t0 to t1 (CI)
Physical Activitya (Adjusted Odds Ratios)
Men2.52 (1.65; 3.84)1.75 (1.04; 2.96)[EMPTY_CELL]1.69 (0.99; 2.88)
Women4.06 (2.78; 5.92)2.03 (1.27; 3.23)[EMPTY_CELL]1.67 (1.03; 2.72)
Body Mass Index (Coefficients in kg/m2)
Men−0.76 (−1.39; − 0.13)−0.50 (− 1.09; 0.09)[EMPTY_CELL]−0.01 (− 0.23; 0.21)
Women−2.30 (− 3.22; − 1.39)−2.03 (− 2.84; − 1.21)[EMPTY_CELL]− 0.40 (− 0.82; 0.01)
Waist Circumference (Coefficients in centimetres)
Men−2.58 (−4.29; − 0.87)−1.39 (− 2.99; 0.22)[EMPTY_CELL]− 0.62 (− 1.45; 0.21)
Women− 5.14 (− 7.16; − 3.11)−4.11 (− 5.98; − 2.25)[EMPTY_CELL]−1.10 (− 2.26; 0.05)
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Model 1: Unadjusted associations at t1 (CI)\", \"bbox\": [52, 4, 161, 22]}, {\"cell\": \"Model 2: Fully adjusted at t1 (CI)\", \"bbox\": [178, 4, 254, 22]}, {\"cell\": \"Model 3: Unadjusted change in outcome t0 to t1 (CI)\", \"bbox\": [271, 4, 365, 22]}, {\"cell\": \"Model 4: Fully adjusted change in outcome t0 to t1 (CI)\", \"bbox\": [382, 4, 484, 22]}, {\"cell\": \"Physical Activitya (Adjusted Odds Ratios)\", \"bbox\": [1, 24, 131, 36]}, {\"cell\": \" Men\", \"bbox\": [8, 40, 25, 50]}, {\"cell\": \"2.52 (1.65; 3.84)\", \"bbox\": [52, 40, 109, 49]}, {\"cell\": \"1.75 (1.04; 2.96)\", \"bbox\": [178, 40, 235, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [271, 40, 328, 49]}, {\"cell\": \"1.69 (0.99; 2.88)\", \"bbox\": [382, 40, 433, 50]}, {\"cell\": \" Women\", \"bbox\": [8, 54, 36, 64]}, {\"cell\": \"4.06 (2.78; 5.92)\", \"bbox\": [52, 54, 109, 63]}, {\"cell\": \"2.03 (1.27; 3.23)\", \"bbox\": [178, 54, 235, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [271, 54, 328, 63]}, {\"cell\": \"1.67 (1.03; 2.72)\", \"bbox\": [382, 54, 439, 63]}, {\"cell\": \"Body Mass Index (Coefficients in kg/m2)\", \"bbox\": [1, 66, 130, 78]}, {\"cell\": \" Men\", \"bbox\": [8, 82, 25, 92]}, {\"cell\": \"−0.76 (−1.39; − 0.13)\", \"bbox\": [52, 82, 125, 91]}, {\"cell\": \"−0.50 (− 1.09; 0.09)\", \"bbox\": [178, 82, 240, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [271, 82, 333, 92]}, {\"cell\": \"−0.01 (− 0.23; 0.21)\", \"bbox\": [382, 82, 444, 92]}, {\"cell\": \" Women\", \"bbox\": [8, 96, 36, 106]}, {\"cell\": \"−2.30 (− 3.22; − 1.39)\", \"bbox\": [52, 96, 127, 105]}, {\"cell\": \"−2.03 (− 2.84; − 1.21)\", \"bbox\": [178, 96, 252, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [271, 96, 334, 106]}, {\"cell\": \"− 0.40 (− 0.82; 0.01)\", \"bbox\": [382, 96, 445, 106]}, {\"cell\": \"Waist Circumference (Coefficients in centimetres)\", \"bbox\": [1, 110, 160, 120]}, {\"cell\": \" Men\", \"bbox\": [8, 124, 25, 134]}, {\"cell\": \"−2.58 (−4.29; − 0.87)\", \"bbox\": [52, 124, 125, 133]}, {\"cell\": \"−1.39 (− 2.99; 0.22)\", \"bbox\": [178, 124, 240, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [271, 124, 334, 134]}, {\"cell\": \"− 0.62 (− 1.45; 0.21)\", \"bbox\": [382, 124, 445, 134]}, {\"cell\": \" Women\", \"bbox\": [8, 138, 36, 148]}, {\"cell\": \"− 5.14 (− 7.16; − 3.11)\", \"bbox\": [52, 138, 128, 147]}, {\"cell\": \"−4.11 (− 5.98; − 2.25)\", \"bbox\": [178, 138, 252, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [271, 138, 334, 148]}, {\"cell\": \"−1.10 (− 2.26; 0.05)\", \"bbox\": [382, 138, 444, 148]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5879764_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariablesControl (n = 30)Chlorella (n = 33)P-value
Age50.9 ± 1.6[EMPTY_CELL]0.281
Female/male (n)22/8[EMPTY_CELL]0.565
BMI (kg/m2)24.5 ± 0.5[EMPTY_CELL]0.488
Fasting glucose (mmol/L)#5.5 ± 0.1[EMPTY_CELL]0.499
Systolic BP (mmHg)120.1 ± 2.1[EMPTY_CELL]0.981
Diastolic BP (mmHg)75.8 ± 1.3[EMPTY_CELL]0.787
Lipid profiles[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
TC (mmol/L)5.68 ± 0.10[EMPTY_CELL]0.587
TG (mmol/L)#1.49 ± 0.14[EMPTY_CELL]0.137
LDL-C (mmol/L)3.34 ± 0.10[EMPTY_CELL]0.262
HDL-C (mmol/L)1.40 ± 0.06[EMPTY_CELL]0.914
VLDL-C (mmol/L)#0.68 ± 0.06[EMPTY_CELL]0.163
non-HDL-C (mmol/L)4.26 ± 0.11[EMPTY_CELL]0.568
Apo A1 (g/L)1.47 ± 0.05[EMPTY_CELL]0.493
Apo B (g/L)1.07 ± 0.03[EMPTY_CELL]0.886
Apo E (g/L)#0.05 ± 0.00[EMPTY_CELL]0.747
\", \"cells\": [{\"cell\": \"Variables\", \"bbox\": [1, 4, 34, 13]}, {\"cell\": \"Control (n = 30)\", \"bbox\": [172, 4, 227, 13]}, {\"cell\": \"Chlorella (n = 33)\", \"bbox\": [313, 4, 372, 13]}, {\"cell\": \"P-value\", \"bbox\": [457, 4, 484, 13]}, {\"cell\": \"Age\", \"bbox\": [1, 17, 15, 27]}, {\"cell\": \"50.9 ± 1.6\", \"bbox\": [184, 17, 216, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [326, 17, 358, 27]}, {\"cell\": \"0.281\", \"bbox\": [461, 17, 480, 27]}, {\"cell\": \"Female/male (n)\", \"bbox\": [1, 31, 55, 41]}, {\"cell\": \"22/8\", \"bbox\": [192, 31, 208, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [332, 31, 352, 41]}, {\"cell\": \"0.565\", \"bbox\": [461, 31, 480, 41]}, {\"cell\": \"BMI (kg/m2)\", \"bbox\": [1, 43, 41, 55]}, {\"cell\": \"24.5 ± 0.5\", \"bbox\": [184, 45, 216, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [326, 45, 358, 55]}, {\"cell\": \"0.488\", \"bbox\": [461, 45, 480, 55]}, {\"cell\": \"Fasting glucose (mmol/L)#\", \"bbox\": [1, 57, 87, 69]}, {\"cell\": \"5.5 ± 0.1\", \"bbox\": [186, 59, 214, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [328, 59, 356, 69]}, {\"cell\": \"0.499\", \"bbox\": [461, 59, 480, 69]}, {\"cell\": \"Systolic BP (mmHg)\", \"bbox\": [1, 73, 65, 83]}, {\"cell\": \"120.1 ± 2.1\", \"bbox\": [182, 73, 217, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [324, 73, 360, 83]}, {\"cell\": \"0.981\", \"bbox\": [461, 73, 480, 83]}, {\"cell\": \"Diastolic BP (mmHg)\", \"bbox\": [1, 87, 68, 97]}, {\"cell\": \"75.8 ± 1.3\", \"bbox\": [184, 87, 216, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [326, 87, 358, 97]}, {\"cell\": \"0.787\", \"bbox\": [461, 87, 480, 97]}, {\"cell\": \"Lipid profiles\", \"bbox\": [1, 101, 43, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TC (mmol/L)\", \"bbox\": [10, 115, 52, 125]}, {\"cell\": \"5.68 ± 0.10\", \"bbox\": [182, 115, 217, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [324, 115, 360, 125]}, {\"cell\": \"0.587\", \"bbox\": [461, 115, 480, 125]}, {\"cell\": \"TG (mmol/L)#\", \"bbox\": [10, 127, 55, 139]}, {\"cell\": \"1.49 ± 0.14\", \"bbox\": [182, 129, 217, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [324, 129, 360, 139]}, {\"cell\": \"0.137\", \"bbox\": [461, 129, 480, 139]}, {\"cell\": \"LDL-C (mmol/L)\", \"bbox\": [10, 143, 63, 153]}, {\"cell\": \"3.34 ± 0.10\", \"bbox\": [182, 143, 217, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [324, 143, 360, 153]}, {\"cell\": \"0.262\", \"bbox\": [461, 143, 480, 153]}, {\"cell\": \"HDL-C (mmol/L)\", \"bbox\": [10, 157, 64, 167]}, {\"cell\": \"1.40 ± 0.06\", \"bbox\": [182, 157, 217, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [324, 157, 360, 167]}, {\"cell\": \"0.914\", \"bbox\": [461, 157, 480, 167]}, {\"cell\": \"VLDL-C (mmol/L)#\", \"bbox\": [10, 169, 70, 181]}, {\"cell\": \"0.68 ± 0.06\", \"bbox\": [182, 171, 217, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [324, 171, 360, 181]}, {\"cell\": \"0.163\", \"bbox\": [461, 171, 480, 181]}, {\"cell\": \"non-HDL-C (mmol/L)\", \"bbox\": [10, 185, 79, 195]}, {\"cell\": \"4.26 ± 0.11\", \"bbox\": [182, 185, 217, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [324, 185, 360, 195]}, {\"cell\": \"0.568\", \"bbox\": [461, 185, 480, 195]}, {\"cell\": \"Apo A1 (g/L)\", \"bbox\": [10, 199, 53, 209]}, {\"cell\": \"1.47 ± 0.05\", \"bbox\": [182, 199, 217, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [324, 199, 360, 209]}, {\"cell\": \"0.493\", \"bbox\": [461, 199, 480, 209]}, {\"cell\": \"Apo B (g/L)\", \"bbox\": [10, 213, 49, 223]}, {\"cell\": \"1.07 ± 0.03\", \"bbox\": [182, 213, 217, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [324, 213, 360, 223]}, {\"cell\": \"0.886\", \"bbox\": [461, 213, 480, 223]}, {\"cell\": \"Apo E (g/L)#\", \"bbox\": [10, 225, 51, 237]}, {\"cell\": \"0.05 ± 0.00\", \"bbox\": [182, 227, 217, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [324, 227, 360, 237]}, {\"cell\": \"0.747\", \"bbox\": [461, 227, 480, 237]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4066283_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
EvaluationMethodEnzymeIon ChannelGPCRNuclear Receptor
[EMPTY_CELL]NetLapRLS0.972 ± 0.0020.969 ± 0.0030.915 ± 0.0060.850 ± 0.021
[EMPTY_CELL]0.978 ± 0.0020.981 ± 0.0020.950 ± 0.0060.905 ± 0.023
[EMPTY_CELL]0.964 ± 0.0030.959 ± 0.0030.944 ± 0.0050.901 ± 0.017
[EMPTY_CELL]0.905 ± 0.0030.961 ± 0.0030.926 ± 0.0060.877 ± 0.023
[EMPTY_CELL]0.969 ± 0.0020.981 ± 0.0020.940 ± 0.0070.864 ± 0.026
[EMPTY_CELL]0.987± 0.0010.989 ± 0.0010.969± 0.0040.950± 0.011
[EMPTY_CELL]0.981 ± 0.0040.990± 0.0140.952 ± 0.0090.906 ± 0.067
[EMPTY_CELL]NetLapRLS0.789 ± 0.0050.837 ± 0.0090.616 ± 0.0150.465 ± 0.044
[EMPTY_CELL]0.752 ± 0.0110.821 ± 0.0120.524 ± 0.0240.659 ± 0.039
[EMPTY_CELL]0.706 ± 0.0170.717 ± 0.0200.520 ± 0.0210.589 ± 0.034
[EMPTY_CELL]0.654 ± 0.0080.771 ± 0.0090.578 ± 0.0180.534 ± 0.050
[EMPTY_CELL]0.877 ± 0.0050.923± 0.0060.745 ± 0.0130.584 ± 0.042
[EMPTY_CELL]0.892 ± 0.0060.906 ± 0.0080.749 ± 0.0150.728± 0.041
[EMPTY_CELL]0.895± 0.0110.921 ± 0.0360.786± 0.0230.603 ± 0.087
\", \"cells\": [{\"cell\": \"Evaluation\", \"bbox\": [6, 5, 48, 14]}, {\"cell\": \"Method\", \"bbox\": [81, 5, 112, 14]}, {\"cell\": \"Enzyme\", \"bbox\": [137, 5, 168, 14]}, {\"cell\": \"Ion Channel\", \"bbox\": [187, 5, 235, 14]}, {\"cell\": \"GPCR\", \"bbox\": [257, 5, 282, 14]}, {\"cell\": \"Nuclear Receptor\", \"bbox\": [304, 5, 369, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 47, 27, 57]}, {\"cell\": \"NetLapRLS\", \"bbox\": [75, 19, 118, 29]}, {\"cell\": \"0.972 ± 0.002\", \"bbox\": [128, 19, 177, 29]}, {\"cell\": \"0.969 ± 0.003\", \"bbox\": [187, 19, 235, 29]}, {\"cell\": \"0.915 ± 0.006\", \"bbox\": [245, 19, 294, 29]}, {\"cell\": \"0.850 ± 0.021\", \"bbox\": [312, 19, 360, 29]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 28, 114, 38]}, {\"cell\": \"0.978 ± 0.002\", \"bbox\": [128, 28, 177, 38]}, {\"cell\": \"0.981 ± 0.002\", \"bbox\": [187, 28, 235, 38]}, {\"cell\": \"0.950 ± 0.006\", \"bbox\": [245, 28, 294, 38]}, {\"cell\": \"0.905 ± 0.023\", \"bbox\": [312, 28, 360, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 38, 116, 48]}, {\"cell\": \"0.964 ± 0.003\", \"bbox\": [128, 38, 177, 48]}, {\"cell\": \"0.959 ± 0.003\", \"bbox\": [187, 38, 235, 48]}, {\"cell\": \"0.944 ± 0.005\", \"bbox\": [245, 38, 294, 48]}, {\"cell\": \"0.901 ± 0.017\", \"bbox\": [312, 38, 360, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 47, 114, 57]}, {\"cell\": \"0.905 ± 0.003\", \"bbox\": [128, 47, 177, 57]}, {\"cell\": \"0.961 ± 0.003\", \"bbox\": [187, 47, 235, 57]}, {\"cell\": \"0.926 ± 0.006\", \"bbox\": [245, 47, 294, 57]}, {\"cell\": \"0.877 ± 0.023\", \"bbox\": [312, 47, 360, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [87, 57, 106, 67]}, {\"cell\": \"0.969 ± 0.002\", \"bbox\": [128, 57, 177, 67]}, {\"cell\": \"0.981 ± 0.002\", \"bbox\": [187, 57, 235, 67]}, {\"cell\": \"0.940 ± 0.007\", \"bbox\": [245, 57, 294, 67]}, {\"cell\": \"0.864 ± 0.026\", \"bbox\": [312, 57, 360, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [81, 66, 112, 76]}, {\"cell\": \"0.987± 0.001\", \"bbox\": [128, 66, 177, 76]}, {\"cell\": \"0.989 ± 0.001\", \"bbox\": [187, 66, 235, 76]}, {\"cell\": \"0.969± 0.004\", \"bbox\": [245, 66, 294, 76]}, {\"cell\": \"0.950± 0.011\", \"bbox\": [312, 66, 360, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [82, 76, 111, 86]}, {\"cell\": \"0.981 ± 0.004\", \"bbox\": [128, 76, 177, 86]}, {\"cell\": \"0.990± 0.014\", \"bbox\": [187, 76, 235, 86]}, {\"cell\": \"0.952 ± 0.009\", \"bbox\": [245, 76, 294, 86]}, {\"cell\": \"0.906 ± 0.067\", \"bbox\": [312, 76, 360, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 119, 31, 129]}, {\"cell\": \"NetLapRLS\", \"bbox\": [75, 90, 118, 100]}, {\"cell\": \"0.789 ± 0.005\", \"bbox\": [128, 90, 177, 100]}, {\"cell\": \"0.837 ± 0.009\", \"bbox\": [187, 90, 235, 100]}, {\"cell\": \"0.616 ± 0.015\", \"bbox\": [245, 90, 294, 100]}, {\"cell\": \"0.465 ± 0.044\", \"bbox\": [312, 90, 360, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 100, 114, 110]}, {\"cell\": \"0.752 ± 0.011\", \"bbox\": [128, 100, 177, 110]}, {\"cell\": \"0.821 ± 0.012\", \"bbox\": [187, 100, 235, 110]}, {\"cell\": \"0.524 ± 0.024\", \"bbox\": [245, 100, 294, 110]}, {\"cell\": \"0.659 ± 0.039\", \"bbox\": [312, 100, 360, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 109, 116, 119]}, {\"cell\": \"0.706 ± 0.017\", \"bbox\": [128, 109, 177, 119]}, {\"cell\": \"0.717 ± 0.020\", \"bbox\": [187, 109, 235, 119]}, {\"cell\": \"0.520 ± 0.021\", \"bbox\": [245, 109, 294, 119]}, {\"cell\": \"0.589 ± 0.034\", \"bbox\": [312, 109, 360, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 119, 114, 129]}, {\"cell\": \"0.654 ± 0.008\", \"bbox\": [128, 119, 177, 129]}, {\"cell\": \"0.771 ± 0.009\", \"bbox\": [187, 119, 235, 129]}, {\"cell\": \"0.578 ± 0.018\", \"bbox\": [245, 119, 294, 129]}, {\"cell\": \"0.534 ± 0.050\", \"bbox\": [312, 119, 360, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [87, 128, 106, 138]}, {\"cell\": \"0.877 ± 0.005\", \"bbox\": [128, 128, 177, 138]}, {\"cell\": \"0.923± 0.006\", \"bbox\": [187, 128, 235, 138]}, {\"cell\": \"0.745 ± 0.013\", \"bbox\": [245, 128, 294, 138]}, {\"cell\": \"0.584 ± 0.042\", \"bbox\": [312, 128, 360, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [81, 138, 112, 148]}, {\"cell\": \"0.892 ± 0.006\", \"bbox\": [128, 138, 177, 148]}, {\"cell\": \"0.906 ± 0.008\", \"bbox\": [187, 138, 235, 148]}, {\"cell\": \"0.749 ± 0.015\", \"bbox\": [245, 138, 294, 148]}, {\"cell\": \"0.728± 0.041\", \"bbox\": [312, 138, 360, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [82, 147, 111, 157]}, {\"cell\": \"0.895± 0.011\", \"bbox\": [128, 147, 177, 157]}, {\"cell\": \"0.921 ± 0.036\", \"bbox\": [187, 147, 235, 157]}, {\"cell\": \"0.786± 0.023\", \"bbox\": [245, 147, 294, 157]}, {\"cell\": \"0.603 ± 0.087\", \"bbox\": [312, 147, 360, 157]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5578170_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Characteristic/variablesTotal (N=196)Intervention group (n=103)Control group (n=93)p
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.284
[EMPTY_CELL]57 (29)36 (35)21 (23)[EMPTY_CELL]
[EMPTY_CELL]48 (25)24 (23)24 (26)[EMPTY_CELL]
[EMPTY_CELL]71 (36)33 (32)38 (41)[EMPTY_CELL]
[EMPTY_CELL]20 (10)10 (10)10 (11)[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.083
[EMPTY_CELL]72 (37)32 (31)40 (43)[EMPTY_CELL]
[EMPTY_CELL]124 (63)71 (69)53 (57)[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.275
[EMPTY_CELL]64 (33)31 (30)33 (36)[EMPTY_CELL]
[EMPTY_CELL]79 (40)46 (45)33 (36)[EMPTY_CELL]
[EMPTY_CELL]33 (17)19 (18)14 (15)[EMPTY_CELL]
[EMPTY_CELL]5 (3)3 (3)2 (2)[EMPTY_CELL]
[EMPTY_CELL]14 (7)4 (4)10 (11)[EMPTY_CELL]
[EMPTY_CELL]74.8 ± 7.774.2 ± 7.775.3 ± 7.70.304
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.564
[EMPTY_CELL]104 (54)56 (54)48 (53)[EMPTY_CELL]
[EMPTY_CELL]44 (23)20 (19)24 (27)[EMPTY_CELL]
[EMPTY_CELL]24 (12)15 (15)9 (10)[EMPTY_CELL]
[EMPTY_CELL]21 (11)12 (12)9 (10)[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]62 (32)33 (32)29 (31)0.898
[EMPTY_CELL]21 (11)14 (14)7 (8)0.170
[EMPTY_CELL]39 (20)22 (21)17 (18)0.590
[EMPTY_CELL]95 (49)49 (48)46 (50)0.792
[EMPTY_CELL]43.7 ± 10.743.8 ± 11.043.6 ± 10.50.885
[EMPTY_CELL]27.2 ± 9.127.1 ± 8.527.3 ± 9.70.907
[EMPTY_CELL]46.7 ± 11.446.1 ± 12.347.5 ± 10.40.405
[EMPTY_CELL]39.6 ± 10.139.1 ± 10.140.2 ± 10.00.459
\", \"cells\": [{\"cell\": \"Characteristic/variables\", \"bbox\": [3, 4, 89, 15]}, {\"cell\": \"Total (N=196)\", \"bbox\": [156, 4, 216, 15]}, {\"cell\": \"Intervention group (n=103)\", \"bbox\": [238, 4, 346, 15]}, {\"cell\": \"Control group (n=93)\", \"bbox\": [368, 4, 456, 15]}, {\"cell\": \"p\", \"bbox\": [484, 4, 492, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 17, 67, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.284\", \"bbox\": [477, 17, 499, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 27, 128, 38]}, {\"cell\": \"57 (29)\", \"bbox\": [171, 27, 200, 38]}, {\"cell\": \"36 (35)\", \"bbox\": [278, 27, 306, 38]}, {\"cell\": \"21 (23)\", \"bbox\": [398, 27, 426, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 38, 92, 48]}, {\"cell\": \"48 (25)\", \"bbox\": [171, 38, 200, 48]}, {\"cell\": \"24 (23)\", \"bbox\": [278, 38, 306, 48]}, {\"cell\": \"24 (26)\", \"bbox\": [398, 38, 426, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 48, 134, 59]}, {\"cell\": \"71 (36)\", \"bbox\": [172, 48, 200, 59]}, {\"cell\": \"33 (32)\", \"bbox\": [278, 48, 306, 59]}, {\"cell\": \"38 (41)\", \"bbox\": [398, 48, 426, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 58, 123, 69]}, {\"cell\": \"20 (10)\", \"bbox\": [172, 58, 200, 69]}, {\"cell\": \"10 (10)\", \"bbox\": [278, 58, 306, 69]}, {\"cell\": \"10 (11)\", \"bbox\": [398, 58, 426, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 69, 57, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.083\", \"bbox\": [477, 69, 499, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 79, 31, 90]}, {\"cell\": \"72 (37)\", \"bbox\": [171, 79, 200, 90]}, {\"cell\": \"32 (31)\", \"bbox\": [278, 79, 306, 90]}, {\"cell\": \"40 (43)\", \"bbox\": [398, 79, 426, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 90, 39, 101]}, {\"cell\": \"124 (63)\", \"bbox\": [169, 90, 202, 101]}, {\"cell\": \"71 (69)\", \"bbox\": [278, 90, 306, 101]}, {\"cell\": \"53 (57)\", \"bbox\": [398, 90, 426, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 100, 47, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.275\", \"bbox\": [477, 100, 499, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 111, 36, 121]}, {\"cell\": \"64 (33)\", \"bbox\": [171, 111, 200, 121]}, {\"cell\": \"31 (30)\", \"bbox\": [278, 111, 306, 121]}, {\"cell\": \"33 (36)\", \"bbox\": [398, 111, 426, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 121, 79, 132]}, {\"cell\": \"79 (40)\", \"bbox\": [171, 121, 200, 132]}, {\"cell\": \"46 (45)\", \"bbox\": [278, 121, 306, 132]}, {\"cell\": \"33 (36)\", \"bbox\": [398, 121, 426, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 132, 72, 142]}, {\"cell\": \"33 (17)\", \"bbox\": [172, 132, 200, 142]}, {\"cell\": \"19 (18)\", \"bbox\": [278, 132, 306, 142]}, {\"cell\": \"14 (15)\", \"bbox\": [398, 132, 426, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 142, 34, 153]}, {\"cell\": \"5 (3)\", \"bbox\": [176, 142, 196, 153]}, {\"cell\": \"3 (3)\", \"bbox\": [282, 142, 302, 153]}, {\"cell\": \"2 (2)\", \"bbox\": [402, 142, 422, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 153, 38, 163]}, {\"cell\": \"14 (7)\", \"bbox\": [174, 153, 198, 163]}, {\"cell\": \"4 (4)\", \"bbox\": [282, 153, 302, 163]}, {\"cell\": \"10 (11)\", \"bbox\": [398, 153, 426, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 160, 90, 175]}, {\"cell\": \"74.8 ± 7.7\", \"bbox\": [168, 160, 204, 175]}, {\"cell\": \"74.2 ± 7.7\", \"bbox\": [274, 160, 310, 175]}, {\"cell\": \"75.3 ± 7.7\", \"bbox\": [394, 160, 430, 175]}, {\"cell\": \"0.304\", \"bbox\": [477, 163, 499, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 174, 91, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.564\", \"bbox\": [477, 174, 499, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 184, 44, 195]}, {\"cell\": \"104 (54)\", \"bbox\": [169, 184, 202, 195]}, {\"cell\": \"56 (54)\", \"bbox\": [278, 184, 306, 195]}, {\"cell\": \"48 (53)\", \"bbox\": [398, 184, 426, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 194, 65, 205]}, {\"cell\": \"44 (23)\", \"bbox\": [171, 194, 200, 205]}, {\"cell\": \"20 (19)\", \"bbox\": [278, 194, 306, 205]}, {\"cell\": \"24 (27)\", \"bbox\": [398, 194, 426, 205]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 205, 65, 216]}, {\"cell\": \"24 (12)\", \"bbox\": [172, 205, 200, 216]}, {\"cell\": \"15 (15)\", \"bbox\": [278, 205, 306, 216]}, {\"cell\": \"9 (10)\", \"bbox\": [400, 205, 424, 216]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 215, 70, 226]}, {\"cell\": \"21 (11)\", \"bbox\": [172, 215, 199, 226]}, {\"cell\": \"12 (12)\", \"bbox\": [278, 215, 306, 226]}, {\"cell\": \"9 (10)\", \"bbox\": [400, 215, 424, 226]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 226, 118, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 236, 88, 247]}, {\"cell\": \"62 (32)\", \"bbox\": [171, 236, 200, 247]}, {\"cell\": \"33 (32)\", \"bbox\": [278, 236, 306, 247]}, {\"cell\": \"29 (31)\", \"bbox\": [398, 236, 426, 247]}, {\"cell\": \"0.898\", \"bbox\": [477, 236, 499, 247]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 247, 112, 257]}, {\"cell\": \"21 (11)\", \"bbox\": [172, 247, 199, 257]}, {\"cell\": \"14 (14)\", \"bbox\": [278, 247, 306, 257]}, {\"cell\": \"7 (8)\", \"bbox\": [402, 247, 422, 257]}, {\"cell\": \"0.170\", \"bbox\": [478, 247, 498, 257]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 257, 107, 268]}, {\"cell\": \"39 (20)\", \"bbox\": [171, 257, 200, 268]}, {\"cell\": \"22 (21)\", \"bbox\": [278, 257, 306, 268]}, {\"cell\": \"17 (18)\", \"bbox\": [398, 257, 426, 268]}, {\"cell\": \"0.590\", \"bbox\": [477, 257, 499, 268]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 268, 129, 278]}, {\"cell\": \"95 (49)\", \"bbox\": [171, 268, 200, 278]}, {\"cell\": \"49 (48)\", \"bbox\": [278, 268, 306, 278]}, {\"cell\": \"46 (50)\", \"bbox\": [398, 268, 426, 278]}, {\"cell\": \"0.792\", \"bbox\": [477, 268, 499, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 278, 48, 289]}, {\"cell\": \"43.7 ± 10.7\", \"bbox\": [166, 275, 206, 290]}, {\"cell\": \"43.8 ± 11.0\", \"bbox\": [272, 275, 312, 290]}, {\"cell\": \"43.6 ± 10.5\", \"bbox\": [392, 275, 432, 290]}, {\"cell\": \"0.885\", \"bbox\": [477, 278, 499, 289]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 289, 86, 299]}, {\"cell\": \"27.2 ± 9.1\", \"bbox\": [168, 285, 203, 301]}, {\"cell\": \"27.1 ± 8.5\", \"bbox\": [274, 285, 310, 301]}, {\"cell\": \"27.3 ± 9.7\", \"bbox\": [394, 285, 430, 301]}, {\"cell\": \"0.907\", \"bbox\": [477, 289, 499, 299]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 299, 58, 310]}, {\"cell\": \"46.7 ± 11.4\", \"bbox\": [165, 296, 206, 311]}, {\"cell\": \"46.1 ± 12.3\", \"bbox\": [272, 296, 312, 311]}, {\"cell\": \"47.5 ± 10.4\", \"bbox\": [392, 296, 432, 311]}, {\"cell\": \"0.405\", \"bbox\": [477, 299, 499, 310]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 310, 55, 320]}, {\"cell\": \"39.6 ± 10.1\", \"bbox\": [166, 306, 205, 322]}, {\"cell\": \"39.1 ± 10.1\", \"bbox\": [272, 306, 311, 322]}, {\"cell\": \"40.2 ± 10.0\", \"bbox\": [392, 306, 432, 322]}, {\"cell\": \"0.459\", \"bbox\": [477, 310, 499, 320]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5964590_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]2002 (A)N=3092005 (A)N=9942008 (A)N=6422012 (A)N=10392012 (B)N=939
[EMPTY_CELL]aOR (95% CI)aOR (95% CI)aOR (95% CI)aOR (95% CI)aOR (95% CI)
[EMPTY_CELL]1.21*** (1.07–1.37)1.09*** (1.03–1.16)1.08** (1.01–1.16)1.08** (1.01–1.16)1.08** (1.01–1.15)
[EMPTY_CELL]1.14 (0.92–1.40)1.22*** (1.08–1.38)1.21*** (1.05–1.38)1.12** (1.00–1.25)1.09 (0.96–1.23)
[EMPTY_CELL]0.55 (0.14–2.13)0.33** (0.13–0.81)0.32** (0.12–0.89)0.42 (0.13–1.39)0.70 (0.20–2.37)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]–[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]0.94 (0.33–2.73)1.65 (0.90–3.03)1.45 (0.77–2.73)1.23 (0.64–2.34)1.26 (0.62–2.57)
[EMPTY_CELL]0.35** (0.13–0.95)0.79 (0.45–1.40)0.97 (0.53–1.78)1.23 (0.74–2.04)1.48 (0.88–2.50)
[EMPTY_CELL]0.70 (0.20–2.52)0.95 (0.42–2.14)1.60 (0.76–3.38)1.46 (0.72–2.95)1.55 (0.76–3.16)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]0.45 (0.14–1.42)1.46 (0.73–2.89)0.58 (0.28–1.21)0.48** (0.23–0.99)0.40*** (0.21–0.78)
[EMPTY_CELL]0.38* (0.13–1.10)0.92 (0.37–2.26)0.93 (0.40–2.18)0.82 (0.42–1.61)1.18 (0.53–2.60)
[EMPTY_CELL]1.01** (0.41–2.48)0.98 (0.57–1.69)1.20 (0.67–2.14)2.13*** (1.38–3.29)2.58*** (1.63–4.07)
[EMPTY_CELL]0.65 (0.21–2.02)1.17 (0.67–2.06)1.45 (0.79–2.64)1.43 (0.78–2.60)1.49 (0.75–2.98)
[EMPTY_CELL]2.71* (0.90–8.17)2.91*** (1.33–6.37)1.50 (0.60–3.73)1.52 (0.77–3.00)[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]––––0.80 (0.42–1.54)
[EMPTY_CELL]––––1.55 (0.82–2.96)
[EMPTY_CELL]––––1.08 (0.41–2.86)
[EMPTY_CELL]––––1.93** (1.15–3.24)
[EMPTY_CELL]––––0.07*** (0.01–0.48)
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2002 (A)N=309\", \"bbox\": [127, 8, 158, 29]}, {\"cell\": \"2005 (A)N=994\", \"bbox\": [199, 8, 230, 29]}, {\"cell\": \"2008 (A)N=642\", \"bbox\": [271, 8, 302, 29]}, {\"cell\": \"2012 (A)N=1039\", \"bbox\": [343, 8, 374, 29]}, {\"cell\": \"2012 (B)N=939\", \"bbox\": [415, 8, 446, 29]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"aOR (95% CI)\", \"bbox\": [119, 41, 166, 50]}, {\"cell\": \"aOR (95% CI)\", \"bbox\": [191, 41, 238, 50]}, {\"cell\": \"aOR (95% CI)\", \"bbox\": [263, 41, 310, 50]}, {\"cell\": \"aOR (95% CI)\", \"bbox\": [335, 41, 382, 50]}, {\"cell\": \"aOR (95% CI)\", \"bbox\": [407, 41, 454, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 60, 70, 81]}, {\"cell\": \"1.21*** (1.07–1.37)\", \"bbox\": [109, 60, 177, 69]}, {\"cell\": \"1.09*** (1.03–1.16)\", \"bbox\": [181, 60, 249, 69]}, {\"cell\": \"1.08** (1.01–1.16)\", \"bbox\": [257, 60, 321, 69]}, {\"cell\": \"1.08** (1.01–1.16)\", \"bbox\": [329, 60, 393, 69]}, {\"cell\": \"1.08** (1.01–1.15)\", \"bbox\": [401, 60, 465, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 84, 15, 93]}, {\"cell\": \"1.14 (0.92–1.40)\", \"bbox\": [121, 84, 177, 93]}, {\"cell\": \"1.22*** (1.08–1.38)\", \"bbox\": [181, 84, 249, 93]}, {\"cell\": \"1.21*** (1.05–1.38)\", \"bbox\": [253, 84, 321, 93]}, {\"cell\": \"1.12** (1.00–1.25)\", \"bbox\": [329, 84, 393, 93]}, {\"cell\": \"1.09 (0.96–1.23)\", \"bbox\": [409, 84, 465, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 96, 80, 105]}, {\"cell\": \"0.55 (0.14–2.13)\", \"bbox\": [121, 96, 177, 105]}, {\"cell\": \"0.33** (0.13–0.81)\", \"bbox\": [185, 96, 249, 105]}, {\"cell\": \"0.32** (0.12–0.89)\", \"bbox\": [257, 96, 321, 105]}, {\"cell\": \"0.42 (0.13–1.39)\", \"bbox\": [337, 96, 393, 105]}, {\"cell\": \"0.70 (0.20–2.37)\", \"bbox\": [409, 96, 465, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 108, 93, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 120, 29, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 132, 44, 141]}, {\"cell\": \"–\", \"bbox\": [131, 135, 137, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 144, 97, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 156, 53, 165]}, {\"cell\": \"0.94 (0.33–2.73)\", \"bbox\": [121, 156, 177, 165]}, {\"cell\": \"1.65 (0.90–3.03)\", \"bbox\": [193, 156, 249, 165]}, {\"cell\": \"1.45 (0.77–2.73)\", \"bbox\": [265, 156, 321, 165]}, {\"cell\": \"1.23 (0.64–2.34)\", \"bbox\": [337, 156, 393, 165]}, {\"cell\": \"1.26 (0.62–2.57)\", \"bbox\": [409, 156, 465, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 168, 50, 177]}, {\"cell\": \"0.35** (0.13–0.95)\", \"bbox\": [113, 168, 177, 177]}, {\"cell\": \"0.79 (0.45–1.40)\", \"bbox\": [193, 168, 249, 177]}, {\"cell\": \"0.97 (0.53–1.78)\", \"bbox\": [265, 168, 321, 177]}, {\"cell\": \"1.23 (0.74–2.04)\", \"bbox\": [337, 168, 393, 177]}, {\"cell\": \"1.48 (0.88–2.50)\", \"bbox\": [409, 168, 465, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 180, 44, 189]}, {\"cell\": \"0.70 (0.20–2.52)\", \"bbox\": [121, 180, 177, 189]}, {\"cell\": \"0.95 (0.42–2.14)\", \"bbox\": [193, 180, 249, 189]}, {\"cell\": \"1.60 (0.76–3.38)\", \"bbox\": [265, 180, 321, 189]}, {\"cell\": \"1.46 (0.72–2.95)\", \"bbox\": [337, 180, 393, 189]}, {\"cell\": \"1.55 (0.76–3.16)\", \"bbox\": [409, 180, 465, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 192, 133, 201]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 204, 28, 213]}, {\"cell\": \"0.45 (0.14–1.42)\", \"bbox\": [121, 204, 177, 213]}, {\"cell\": \"1.46 (0.73–2.89)\", \"bbox\": [193, 204, 249, 213]}, {\"cell\": \"0.58 (0.28–1.21)\", \"bbox\": [265, 204, 321, 213]}, {\"cell\": \"0.48** (0.23–0.99)\", \"bbox\": [329, 204, 393, 213]}, {\"cell\": \"0.40*** (0.21–0.78)\", \"bbox\": [397, 204, 465, 213]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 216, 35, 225]}, {\"cell\": \"0.38* (0.13–1.10)\", \"bbox\": [117, 216, 177, 225]}, {\"cell\": \"0.92 (0.37–2.26)\", \"bbox\": [193, 216, 249, 225]}, {\"cell\": \"0.93 (0.40–2.18)\", \"bbox\": [265, 216, 321, 225]}, {\"cell\": \"0.82 (0.42–1.61)\", \"bbox\": [337, 216, 393, 225]}, {\"cell\": \"1.18 (0.53–2.60)\", \"bbox\": [409, 216, 465, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 228, 96, 249]}, {\"cell\": \"1.01** (0.41–2.48)\", \"bbox\": [113, 228, 177, 237]}, {\"cell\": \"0.98 (0.57–1.69)\", \"bbox\": [193, 228, 249, 237]}, {\"cell\": \"1.20 (0.67–2.14)\", \"bbox\": [265, 228, 321, 237]}, {\"cell\": \"2.13*** (1.38–3.29)\", \"bbox\": [325, 228, 393, 237]}, {\"cell\": \"2.58*** (1.63–4.07)\", \"bbox\": [397, 228, 465, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 252, 96, 261]}, {\"cell\": \"0.65 (0.21–2.02)\", \"bbox\": [121, 252, 177, 261]}, {\"cell\": \"1.17 (0.67–2.06)\", \"bbox\": [193, 252, 249, 261]}, {\"cell\": \"1.45 (0.79–2.64)\", \"bbox\": [265, 252, 321, 261]}, {\"cell\": \"1.43 (0.78–2.60)\", \"bbox\": [337, 252, 393, 261]}, {\"cell\": \"1.49 (0.75–2.98)\", \"bbox\": [409, 252, 465, 261]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 264, 92, 285]}, {\"cell\": \"2.71* (0.90–8.17)\", \"bbox\": [117, 264, 177, 273]}, {\"cell\": \"2.91*** (1.33–6.37)\", \"bbox\": [181, 264, 249, 273]}, {\"cell\": \"1.50 (0.60–3.73)\", \"bbox\": [265, 264, 321, 273]}, {\"cell\": \"1.52 (0.77–3.00)\", \"bbox\": [337, 264, 393, 273]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 288, 126, 297]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 300, 64, 309]}, {\"cell\": \"–\", \"bbox\": [131, 303, 137, 308]}, {\"cell\": \"–\", \"bbox\": [203, 303, 209, 308]}, {\"cell\": \"–\", \"bbox\": [275, 303, 281, 308]}, {\"cell\": \"–\", \"bbox\": [347, 303, 353, 308]}, {\"cell\": \"0.80 (0.42–1.54)\", \"bbox\": [409, 300, 465, 309]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 312, 72, 321]}, {\"cell\": \"–\", \"bbox\": [131, 315, 137, 320]}, {\"cell\": \"–\", \"bbox\": [203, 315, 209, 320]}, {\"cell\": \"–\", \"bbox\": [275, 315, 281, 320]}, {\"cell\": \"–\", \"bbox\": [347, 315, 353, 320]}, {\"cell\": \"1.55 (0.82–2.96)\", \"bbox\": [409, 312, 465, 321]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 324, 68, 333]}, {\"cell\": \"–\", \"bbox\": [131, 327, 137, 332]}, {\"cell\": \"–\", \"bbox\": [203, 327, 209, 332]}, {\"cell\": \"–\", \"bbox\": [275, 327, 281, 332]}, {\"cell\": \"–\", \"bbox\": [347, 327, 353, 332]}, {\"cell\": \"1.08 (0.41–2.86)\", \"bbox\": [409, 324, 465, 333]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 336, 105, 357]}, {\"cell\": \"–\", \"bbox\": [131, 339, 137, 344]}, {\"cell\": \"–\", \"bbox\": [203, 339, 209, 344]}, {\"cell\": \"–\", \"bbox\": [275, 339, 281, 344]}, {\"cell\": \"–\", \"bbox\": [347, 339, 353, 344]}, {\"cell\": \"1.93** (1.15–3.24)\", \"bbox\": [401, 336, 465, 345]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 360, 104, 381]}, {\"cell\": \"–\", \"bbox\": [131, 363, 137, 368]}, {\"cell\": \"–\", \"bbox\": [203, 363, 209, 368]}, {\"cell\": \"–\", \"bbox\": [275, 363, 281, 368]}, {\"cell\": \"–\", \"bbox\": [347, 363, 353, 368]}, {\"cell\": \"0.07*** (0.01–0.48)\", \"bbox\": [397, 360, 465, 369]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5384594_015_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
DefinitionSymbolValueReferences
Total number of cattleNc[EMPTY_CELL][15]
Total number of humansNh[EMPTY_CELL][92]
Diversion probability from an unprotected vertebrate host (cattle or human)Δh,u[EMPTY_CELL][93]
Mortality probability upon attacking an unprotected hostμh,u[EMPTY_CELL][93]
Mean availability of individual unprotected humansaah,u[EMPTY_CELL][28,40]
Mean availability of individual cattlebac[EMPTY_CELL][EMPTY_CELL]
An. arabiensis[EMPTY_CELL][EMPTY_CELL][28]
An. gambiae s.s.[EMPTY_CELL][EMPTY_CELL][28,42]
Total availability of aquatic habitatsZa[EMPTY_CELL][28]
Duration of gestationg[EMPTY_CELL][EMPTY_CELL]
Proportion of mosquitoes surviving per day while feeding while restingP[EMPTY_CELL][91]
Proportion of mosquitoes surviving per day while foraging for hosts or oviposition sitesPov[EMPTY_CELL]Figure 2 and associated text
Duration of the parasite sporogonic development periodn[EMPTY_CELL][30]
Human infectiousness to mosquitoesk[EMPTY_CELL][29]
Total number of adult mosquitoes emerging per yearE[EMPTY_CELL][24]
\", \"cells\": [{\"cell\": \"Definition\", \"bbox\": [1, 4, 37, 13]}, {\"cell\": \"Symbol\", \"bbox\": [298, 4, 326, 13]}, {\"cell\": \"Value\", \"bbox\": [338, 4, 359, 13]}, {\"cell\": \"References\", \"bbox\": [383, 4, 422, 13]}, {\"cell\": \"Total number of cattle\", \"bbox\": [1, 17, 75, 27]}, {\"cell\": \"Nc\", \"bbox\": [311, 17, 320, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [338, 17, 355, 27]}, {\"cell\": \"[15]\", \"bbox\": [383, 17, 397, 27]}, {\"cell\": \"Total number of humans\", \"bbox\": [1, 29, 83, 39]}, {\"cell\": \"Nh\", \"bbox\": [311, 29, 321, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [338, 29, 355, 39]}, {\"cell\": \"[92]\", \"bbox\": [383, 29, 397, 39]}, {\"cell\": \"Diversion probability from an unprotected vertebrate host (cattle or human)\", \"bbox\": [1, 41, 249, 51]}, {\"cell\": \"Δh,u\", \"bbox\": [309, 42, 322, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [338, 41, 349, 51]}, {\"cell\": \"[93]\", \"bbox\": [383, 41, 397, 51]}, {\"cell\": \"Mortality probability upon attacking an unprotected host\", \"bbox\": [1, 53, 187, 63]}, {\"cell\": \"μh,u\", \"bbox\": [309, 55, 322, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [338, 53, 349, 63]}, {\"cell\": \"[93]\", \"bbox\": [383, 53, 397, 63]}, {\"cell\": \"Mean availability of individual unprotected humansa\", \"bbox\": [1, 63, 171, 75]}, {\"cell\": \"ah,u\", \"bbox\": [309, 65, 322, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [338, 63, 371, 75]}, {\"cell\": \"[28,40]\", \"bbox\": [383, 65, 406, 75]}, {\"cell\": \"Mean availability of individual cattleb\", \"bbox\": [1, 75, 121, 86]}, {\"cell\": \"ac\", \"bbox\": [312, 77, 320, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" An. arabiensis\", \"bbox\": [15, 89, 60, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [338, 87, 371, 98]}, {\"cell\": \"[28]\", \"bbox\": [383, 89, 397, 98]}, {\"cell\": \" An. gambiae s.s.\", \"bbox\": [15, 101, 68, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [338, 99, 371, 110]}, {\"cell\": \"[28,42]\", \"bbox\": [383, 101, 406, 110]}, {\"cell\": \"Total availability of aquatic habitats\", \"bbox\": [1, 113, 116, 122]}, {\"cell\": \"Za\", \"bbox\": [311, 113, 320, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [338, 113, 344, 122]}, {\"cell\": \"[28]\", \"bbox\": [383, 113, 397, 122]}, {\"cell\": \"Duration of gestation\", \"bbox\": [1, 125, 71, 134]}, {\"cell\": \"g\", \"bbox\": [313, 125, 319, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [338, 125, 344, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Proportion of mosquitoes surviving per day while feeding while resting\", \"bbox\": [1, 137, 234, 146]}, {\"cell\": \"P\", \"bbox\": [313, 137, 319, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [338, 137, 349, 146]}, {\"cell\": \"[91]\", \"bbox\": [383, 137, 397, 146]}, {\"cell\": \"Proportion of mosquitoes surviving per day while foraging for hosts or oviposition sites\", \"bbox\": [1, 149, 286, 158]}, {\"cell\": \"Pov\", \"bbox\": [310, 149, 321, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [338, 149, 353, 158]}, {\"cell\": \"Figure 2 and associated text\", \"bbox\": [383, 149, 476, 158]}, {\"cell\": \"Duration of the parasite sporogonic development period\", \"bbox\": [1, 161, 186, 170]}, {\"cell\": \"n\", \"bbox\": [313, 161, 319, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [338, 161, 347, 170]}, {\"cell\": \"[30]\", \"bbox\": [383, 161, 397, 170]}, {\"cell\": \"Human infectiousness to mosquitoes\", \"bbox\": [1, 173, 122, 182]}, {\"cell\": \"k\", \"bbox\": [313, 173, 318, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [338, 173, 353, 182]}, {\"cell\": \"[29]\", \"bbox\": [383, 173, 397, 182]}, {\"cell\": \"Total number of adult mosquitoes emerging per year\", \"bbox\": [1, 185, 176, 194]}, {\"cell\": \"E\", \"bbox\": [313, 185, 319, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [338, 185, 370, 194]}, {\"cell\": \"[24]\", \"bbox\": [383, 185, 397, 194]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3199905_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Demographics[EMPTY_CELL]N%
GenderFemale[EMPTY_CELL]44.0
[EMPTY_CELL]Male[EMPTY_CELL]56.0
Marital statusNever married[EMPTY_CELL]37.4
[EMPTY_CELL]Currently married[EMPTY_CELL]60.4
[EMPTY_CELL]Divorced[EMPTY_CELL]1.1
[EMPTY_CELL]Separated[EMPTY_CELL]1.1
Employment statusEmployed[EMPTY_CELL]36.3
[EMPTY_CELL]Unemployed[EMPTY_CELL]63.7
Financial helpReceived[EMPTY_CELL]80.2
[EMPTY_CELL]Not received[EMPTY_CELL]19.8
Mental health servicesReceived[EMPTY_CELL]14.3
[EMPTY_CELL]Not received[EMPTY_CELL]85.7
Missing family member or relativesYes[EMPTY_CELL]78.0
[EMPTY_CELL]No[EMPTY_CELL]22.0
Number of family members or relatives missingRange: 0–25 people. M = 5.86, SD = 6.14[EMPTY_CELL]
AgeRange: 18–57 years old. M = 29.91, SD = 9.54[EMPTY_CELL]
Years of formal educationRange: 0∗–19 years. M = 8.86, SD = 3.95[EMPTY_CELL]
Number of childrenRange: 0–13. M = 2.35, SD = 2.57[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Demographics\", \"bbox\": [1, 6, 51, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"N\", \"bbox\": [352, 6, 359, 13]}, {\"cell\": \"%\", \"bbox\": [439, 6, 448, 15]}, {\"cell\": \"Gender\", \"bbox\": [1, 23, 25, 32]}, {\"cell\": \"Female\", \"bbox\": [220, 23, 244, 32]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 23, 361, 32]}, {\"cell\": \"44.0\", \"bbox\": [439, 23, 454, 32]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Male\", \"bbox\": [220, 35, 237, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 35, 361, 43]}, {\"cell\": \"56.0\", \"bbox\": [439, 35, 454, 43]}, {\"cell\": \"Marital status\", \"bbox\": [1, 46, 43, 55]}, {\"cell\": \"Never married\", \"bbox\": [220, 46, 265, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 46, 361, 55]}, {\"cell\": \"37.4\", \"bbox\": [439, 46, 454, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Currently married\", \"bbox\": [220, 57, 274, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 57, 361, 66]}, {\"cell\": \"60.4\", \"bbox\": [439, 57, 454, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Divorced\", \"bbox\": [220, 69, 249, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 69, 358, 77]}, {\"cell\": \"1.1\", \"bbox\": [439, 69, 451, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Separated\", \"bbox\": [220, 80, 254, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 80, 358, 89]}, {\"cell\": \"1.1\", \"bbox\": [439, 80, 451, 89]}, {\"cell\": \"Employment status\", \"bbox\": [0, 92, 60, 100]}, {\"cell\": \"Employed\", \"bbox\": [220, 92, 253, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 92, 361, 100]}, {\"cell\": \"36.3\", \"bbox\": [439, 92, 454, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Unemployed\", \"bbox\": [220, 103, 261, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 103, 361, 111]}, {\"cell\": \"63.7\", \"bbox\": [439, 103, 454, 111]}, {\"cell\": \"Financial help\", \"bbox\": [0, 114, 43, 123]}, {\"cell\": \"Received\", \"bbox\": [220, 114, 250, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 114, 361, 123]}, {\"cell\": \"80.2\", \"bbox\": [439, 114, 454, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Not received\", \"bbox\": [220, 126, 260, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 126, 361, 134]}, {\"cell\": \"19.8\", \"bbox\": [439, 126, 454, 134]}, {\"cell\": \"Mental health services\", \"bbox\": [0, 137, 69, 146]}, {\"cell\": \"Received\", \"bbox\": [220, 137, 250, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 137, 361, 146]}, {\"cell\": \"14.3\", \"bbox\": [439, 137, 454, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Not received\", \"bbox\": [220, 148, 260, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 148, 361, 157]}, {\"cell\": \"85.7\", \"bbox\": [439, 148, 454, 157]}, {\"cell\": \"Missing family member or relatives\", \"bbox\": [0, 160, 106, 168]}, {\"cell\": \"Yes\", \"bbox\": [220, 160, 233, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 160, 361, 168]}, {\"cell\": \"78.0\", \"bbox\": [439, 160, 454, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No\", \"bbox\": [220, 171, 231, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 171, 361, 180]}, {\"cell\": \"22.0\", \"bbox\": [439, 171, 454, 180]}, {\"cell\": \"Number of family members or relatives missing\", \"bbox\": [0, 182, 143, 191]}, {\"cell\": \"Range: 0–25 people. M = 5.86, SD = 6.14\", \"bbox\": [220, 182, 352, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Age\", \"bbox\": [0, 194, 14, 202]}, {\"cell\": \"Range: 18–57 years old. M = 29.91, SD = 9.54\", \"bbox\": [220, 194, 367, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Years of formal education\", \"bbox\": [1, 205, 79, 214]}, {\"cell\": \"Range: 0∗–19 years. M = 8.86, SD = 3.95\", \"bbox\": [220, 205, 351, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Number of children\", \"bbox\": [1, 216, 60, 225]}, {\"cell\": \"Range: 0–13. M = 2.35, SD = 2.57\", \"bbox\": [220, 216, 330, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5316552_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
MonthsNumber of episodes of use of SOCNumber of episodes of use of SOC per dayTransfers from prison to forensic hospital
[EMPTY_CELL]Before the opening of the HSU[EMPTY_CELL]
[EMPTY_CELL]--0
[EMPTY_CELL]471.50
[EMPTY_CELL]843.00
[EMPTY_CELL]983.10
[EMPTY_CELL]1314.32
[EMPTY_CELL]561.81
[EMPTY_CELL]652.21
[EMPTY_CELL]411.31
[EMPTY_CELL]581.90
[EMPTY_CELL]361.21
[EMPTY_CELL]421.41
[EMPTY_CELL]752.51
[EMPTY_CELL]After opening of the HSU[EMPTY_CELL]
[EMPTY_CELL]321.01
[EMPTY_CELL]361.20
[EMPTY_CELL]582.11
[EMPTY_CELL]351.11
[EMPTY_CELL]200.70
[EMPTY_CELL]150.50
[EMPTY_CELL]140.51
[EMPTY_CELL]311.00
[EMPTY_CELL]210.72
[EMPTY_CELL]381.32
[EMPTY_CELL]120.40
[EMPTY_CELL]280.90
\", \"cells\": [{\"cell\": \"Months\", \"bbox\": [1, 4, 29, 13]}, {\"cell\": \"Number of episodes of use of SOC\", \"bbox\": [61, 4, 168, 22]}, {\"cell\": \"Number of episodes of use of SOC per day\", \"bbox\": [186, 4, 324, 22]}, {\"cell\": \"Transfers from prison to forensic hospital\", \"bbox\": [340, 4, 457, 22]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Before the opening of the HSU\", \"bbox\": [147, 26, 250, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 39, 54, 58]}, {\"cell\": \"-\", \"bbox\": [61, 39, 66, 49]}, {\"cell\": \"-\", \"bbox\": [186, 39, 191, 49]}, {\"cell\": \"0\", \"bbox\": [340, 39, 346, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 62, 44, 71]}, {\"cell\": \"47\", \"bbox\": [61, 62, 71, 71]}, {\"cell\": \"1.5\", \"bbox\": [186, 62, 197, 71]}, {\"cell\": \"0\", \"bbox\": [340, 62, 346, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 75, 48, 84]}, {\"cell\": \"84\", \"bbox\": [61, 75, 71, 84]}, {\"cell\": \"3.0\", \"bbox\": [186, 75, 197, 84]}, {\"cell\": \"0\", \"bbox\": [340, 75, 346, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 88, 40, 97]}, {\"cell\": \"98\", \"bbox\": [61, 88, 71, 97]}, {\"cell\": \"3.1\", \"bbox\": [186, 88, 197, 97]}, {\"cell\": \"0\", \"bbox\": [340, 88, 346, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 101, 35, 111]}, {\"cell\": \"131\", \"bbox\": [61, 101, 75, 111]}, {\"cell\": \"4.3\", \"bbox\": [186, 101, 197, 111]}, {\"cell\": \"2\", \"bbox\": [340, 101, 346, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 114, 34, 124]}, {\"cell\": \"56\", \"bbox\": [61, 114, 71, 124]}, {\"cell\": \"1.8\", \"bbox\": [186, 114, 197, 124]}, {\"cell\": \"1\", \"bbox\": [340, 114, 346, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 128, 35, 137]}, {\"cell\": \"65\", \"bbox\": [61, 128, 71, 137]}, {\"cell\": \"2.2\", \"bbox\": [186, 128, 197, 137]}, {\"cell\": \"1\", \"bbox\": [340, 128, 346, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 141, 32, 150]}, {\"cell\": \"41\", \"bbox\": [61, 141, 71, 150]}, {\"cell\": \"1.3\", \"bbox\": [186, 141, 197, 150]}, {\"cell\": \"1\", \"bbox\": [340, 141, 346, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 154, 43, 163]}, {\"cell\": \"58\", \"bbox\": [61, 154, 71, 163]}, {\"cell\": \"1.9\", \"bbox\": [186, 154, 197, 163]}, {\"cell\": \"0\", \"bbox\": [340, 154, 346, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 167, 55, 177]}, {\"cell\": \"36\", \"bbox\": [61, 167, 71, 177]}, {\"cell\": \"1.2\", \"bbox\": [186, 167, 197, 177]}, {\"cell\": \"1\", \"bbox\": [340, 167, 346, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 180, 46, 190]}, {\"cell\": \"42\", \"bbox\": [61, 180, 71, 190]}, {\"cell\": \"1.4\", \"bbox\": [186, 180, 197, 190]}, {\"cell\": \"1\", \"bbox\": [340, 180, 346, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 193, 54, 203]}, {\"cell\": \"75\", \"bbox\": [61, 193, 71, 203]}, {\"cell\": \"2.5\", \"bbox\": [186, 193, 197, 203]}, {\"cell\": \"1\", \"bbox\": [340, 193, 346, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"After opening of the HSU\", \"bbox\": [156, 207, 241, 216]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 220, 54, 229]}, {\"cell\": \"32\", \"bbox\": [61, 220, 71, 229]}, {\"cell\": \"1.0\", \"bbox\": [186, 220, 197, 229]}, {\"cell\": \"1\", \"bbox\": [340, 220, 346, 229]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 233, 44, 243]}, {\"cell\": \"36\", \"bbox\": [61, 233, 71, 243]}, {\"cell\": \"1.2\", \"bbox\": [186, 233, 197, 243]}, {\"cell\": \"0\", \"bbox\": [340, 233, 346, 243]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 246, 48, 256]}, {\"cell\": \"58\", \"bbox\": [61, 246, 71, 256]}, {\"cell\": \"2.1\", \"bbox\": [186, 246, 197, 256]}, {\"cell\": \"1\", \"bbox\": [340, 246, 346, 256]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 259, 40, 269]}, {\"cell\": \"35\", \"bbox\": [61, 259, 71, 269]}, {\"cell\": \"1.1\", \"bbox\": [186, 259, 197, 269]}, {\"cell\": \"1\", \"bbox\": [340, 259, 346, 269]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 273, 35, 282]}, {\"cell\": \"20\", \"bbox\": [61, 273, 71, 282]}, {\"cell\": \"0.7\", \"bbox\": [186, 273, 197, 282]}, {\"cell\": \"0\", \"bbox\": [340, 273, 346, 282]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 286, 34, 295]}, {\"cell\": \"15\", \"bbox\": [61, 286, 71, 295]}, {\"cell\": \"0.5\", \"bbox\": [186, 286, 197, 295]}, {\"cell\": \"0\", \"bbox\": [340, 286, 346, 295]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 299, 35, 309]}, {\"cell\": \"14\", \"bbox\": [61, 299, 71, 309]}, {\"cell\": \"0.5\", \"bbox\": [186, 299, 197, 309]}, {\"cell\": \"1\", \"bbox\": [340, 299, 346, 309]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 312, 32, 322]}, {\"cell\": \"31\", \"bbox\": [61, 312, 71, 322]}, {\"cell\": \"1.0\", \"bbox\": [186, 312, 197, 322]}, {\"cell\": \"0\", \"bbox\": [340, 312, 346, 322]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 325, 43, 335]}, {\"cell\": \"21\", \"bbox\": [61, 325, 71, 335]}, {\"cell\": \"0.7\", \"bbox\": [186, 325, 197, 335]}, {\"cell\": \"2\", \"bbox\": [340, 325, 346, 335]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 339, 55, 348]}, {\"cell\": \"38\", \"bbox\": [61, 339, 71, 348]}, {\"cell\": \"1.3\", \"bbox\": [186, 339, 197, 348]}, {\"cell\": \"2\", \"bbox\": [340, 339, 346, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 352, 46, 361]}, {\"cell\": \"12\", \"bbox\": [61, 352, 71, 361]}, {\"cell\": \"0.4\", \"bbox\": [186, 352, 197, 361]}, {\"cell\": \"0\", \"bbox\": [340, 352, 346, 361]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 365, 54, 375]}, {\"cell\": \"28\", \"bbox\": [61, 365, 71, 375]}, {\"cell\": \"0.9\", \"bbox\": [186, 365, 197, 375]}, {\"cell\": \"0\", \"bbox\": [340, 365, 346, 375]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3351748_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Baseline EPIC versus LTPAQMET-hours/week
[EMPTY_CELL]Correlation (ρ)95% CI[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]0.260.11, 0.39***
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]0.16-0.04, 0.35[EMPTY_CELL]
[EMPTY_CELL]0.250.03, 0.44*
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]0.270.07, 0.45**
[EMPTY_CELL]0.220.02, 0.41*
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]0.17-0.03, 0.36[EMPTY_CELL]
[EMPTY_CELL]0.360.16, 0.53***
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]0.17-0.01, 0.35[EMPTY_CELL]
[EMPTY_CELL]0.21-0.03, 0.43[EMPTY_CELL]
[EMPTY_CELL]0.210.07, 0.34*
[EMPTY_CELL]0.460.34, 0.57***
[EMPTY_CELL]0.400.27, 0.52***
[EMPTY_CELL]0.260.12, 0.39***
\", \"cells\": [{\"cell\": \"Baseline EPIC versus LTPAQ\", \"bbox\": [4, 4, 103, 14]}, {\"cell\": \"MET-hours/week\", \"bbox\": [346, 4, 405, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Correlation (ρ)\", \"bbox\": [285, 16, 339, 38]}, {\"cell\": \"95% CI\", \"bbox\": [405, 27, 431, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 49, 112, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 59, 77, 69]}, {\"cell\": \"0.26\", \"bbox\": [304, 59, 320, 69]}, {\"cell\": \"0.11, 0.39\", \"bbox\": [401, 59, 435, 69]}, {\"cell\": \"***\", \"bbox\": [475, 59, 488, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 69, 52, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 80, 89, 89]}, {\"cell\": \"0.16\", \"bbox\": [304, 80, 320, 89]}, {\"cell\": \"-0.04, 0.35\", \"bbox\": [399, 80, 437, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 90, 92, 100]}, {\"cell\": \"0.25\", \"bbox\": [304, 90, 320, 100]}, {\"cell\": \"0.03, 0.44\", \"bbox\": [401, 90, 435, 100]}, {\"cell\": \"*\", \"bbox\": [479, 90, 484, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 100, 83, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 110, 87, 120]}, {\"cell\": \"0.27\", \"bbox\": [304, 110, 320, 120]}, {\"cell\": \"0.07, 0.45\", \"bbox\": [401, 110, 435, 120]}, {\"cell\": \"**\", \"bbox\": [477, 110, 486, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 110, 87, 132]}, {\"cell\": \"0.22\", \"bbox\": [304, 121, 320, 130]}, {\"cell\": \"0.02, 0.41\", \"bbox\": [401, 121, 435, 130]}, {\"cell\": \"*\", \"bbox\": [479, 121, 484, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 131, 39, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 141, 101, 151]}, {\"cell\": \"0.17\", \"bbox\": [304, 141, 320, 151]}, {\"cell\": \"-0.03, 0.36\", \"bbox\": [400, 141, 437, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 140, 101, 163]}, {\"cell\": \"0.36\", \"bbox\": [304, 151, 320, 161]}, {\"cell\": \"0.16, 0.53\", \"bbox\": [401, 151, 435, 161]}, {\"cell\": \"***\", \"bbox\": [475, 151, 488, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 162, 90, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 172, 119, 182]}, {\"cell\": \"0.17\", \"bbox\": [304, 172, 320, 182]}, {\"cell\": \"-0.01, 0.35\", \"bbox\": [399, 172, 437, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 182, 87, 192]}, {\"cell\": \"0.21\", \"bbox\": [304, 182, 320, 192]}, {\"cell\": \"-0.03, 0.43\", \"bbox\": [400, 182, 437, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 192, 74, 202]}, {\"cell\": \"0.21\", \"bbox\": [304, 192, 320, 202]}, {\"cell\": \"0.07, 0.34\", \"bbox\": [401, 192, 435, 202]}, {\"cell\": \"*\", \"bbox\": [479, 192, 484, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 203, 69, 212]}, {\"cell\": \"0.46\", \"bbox\": [304, 203, 320, 212]}, {\"cell\": \"0.34, 0.57\", \"bbox\": [401, 203, 435, 212]}, {\"cell\": \"***\", \"bbox\": [475, 203, 488, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 212, 65, 223]}, {\"cell\": \"0.40\", \"bbox\": [304, 213, 320, 223]}, {\"cell\": \"0.27, 0.52\", \"bbox\": [401, 213, 435, 223]}, {\"cell\": \"***\", \"bbox\": [475, 213, 488, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 223, 87, 233]}, {\"cell\": \"0.26\", \"bbox\": [304, 223, 320, 233]}, {\"cell\": \"0.12, 0.39\", \"bbox\": [401, 223, 435, 233]}, {\"cell\": \"***\", \"bbox\": [475, 223, 488, 233]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2424075_007_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL][EMPTY_CELL]Pattern recognition receptor ligand(s)Association with rheumatic
ReceptorLocalizationPAMPsDAMPsdisease
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Cell surfaceLipoproteinsGp96RA [37], OA [50]
[EMPTY_CELL]Hyaluronan
[EMPTY_CELL]HMGB1
[EMPTY_CELL]
[EMPTY_CELL]EndosomedsRNADNARA [24,30-32], OA [56]
[EMPTY_CELL]Cell surfaceLPSHSP70RA [20,32,92], OA [42,43,48,50]
[EMPTY_CELL]HMGB1
[EMPTY_CELL]Hyaluronan
[EMPTY_CELL]
[EMPTY_CELL]
[EMPTY_CELL]Cell surfaceFlagellin[EMPTY_CELL]RA [34]
[EMPTY_CELL]EndosomessRNAssRNARA [25-27], SLE [93,94]
[EMPTY_CELL]EndosomeCpG DNADNAOA [57], SLE [95]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]CytoplasmDiaminopimelic acid[EMPTY_CELL]RA [39]
[EMPTY_CELL]CytoplasmRNA, DNA, MDPATPGout [3], RA [40], OA [59,60]
[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Pattern recognition receptor ligand(s)\", \"bbox\": [160, 4, 293, 13]}, {\"cell\": \"Association with rheumatic\", \"bbox\": [387, 4, 483, 13]}, {\"cell\": \"Receptor\", \"bbox\": [1, 17, 33, 26]}, {\"cell\": \"Localization\", \"bbox\": [75, 17, 118, 26]}, {\"cell\": \"PAMPs\", \"bbox\": [160, 17, 186, 26]}, {\"cell\": \"DAMPs\", \"bbox\": [279, 17, 305, 26]}, {\"cell\": \"disease\", \"bbox\": [387, 17, 414, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 30, 18, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 44, 18, 54]}, {\"cell\": \"Cell surface\", \"bbox\": [75, 44, 113, 54]}, {\"cell\": \"Lipoproteins\", \"bbox\": [160, 44, 202, 54]}, {\"cell\": \"Gp96\", \"bbox\": [279, 44, 297, 54]}, {\"cell\": \"RA [37], OA [50]\", \"bbox\": [387, 44, 440, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [160, 58, 208, 68]}, {\"cell\": \"Hyaluronan\", \"bbox\": [279, 58, 317, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [160, 72, 191, 82]}, {\"cell\": \"HMGB1\", \"bbox\": [279, 72, 304, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 86, 305, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 100, 18, 110]}, {\"cell\": \"Endosome\", \"bbox\": [75, 100, 111, 110]}, {\"cell\": \"dsRNA\", \"bbox\": [160, 100, 183, 110]}, {\"cell\": \"DNA\", \"bbox\": [279, 100, 295, 110]}, {\"cell\": \"RA [24,30-32], OA [56]\", \"bbox\": [387, 100, 458, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 114, 18, 124]}, {\"cell\": \"Cell surface\", \"bbox\": [75, 114, 113, 124]}, {\"cell\": \"LPS\", \"bbox\": [160, 114, 173, 124]}, {\"cell\": \"HSP70\", \"bbox\": [279, 114, 301, 124]}, {\"cell\": \"RA [20,32,92], OA [42,43,48,50]\", \"bbox\": [387, 114, 484, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [160, 128, 237, 138]}, {\"cell\": \"HMGB1\", \"bbox\": [279, 128, 304, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [160, 142, 188, 152]}, {\"cell\": \"Hyaluronan\", \"bbox\": [279, 142, 317, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 156, 317, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 170, 307, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 184, 18, 194]}, {\"cell\": \"Cell surface\", \"bbox\": [75, 184, 113, 194]}, {\"cell\": \"Flagellin\", \"bbox\": [160, 184, 188, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"RA [34]\", \"bbox\": [387, 184, 412, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 198, 24, 208]}, {\"cell\": \"Endosome\", \"bbox\": [75, 198, 111, 208]}, {\"cell\": \"ssRNA\", \"bbox\": [160, 198, 182, 208]}, {\"cell\": \"ssRNA\", \"bbox\": [279, 198, 300, 208]}, {\"cell\": \"RA [25-27], SLE [93,94]\", \"bbox\": [387, 198, 459, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 212, 18, 222]}, {\"cell\": \"Endosome\", \"bbox\": [75, 212, 111, 222]}, {\"cell\": \"CpG DNA\", \"bbox\": [160, 212, 193, 222]}, {\"cell\": \"DNA\", \"bbox\": [279, 212, 295, 222]}, {\"cell\": \"OA [57], SLE [95]\", \"bbox\": [387, 212, 442, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 226, 20, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 240, 22, 250]}, {\"cell\": \"Cytoplasm\", \"bbox\": [75, 240, 111, 250]}, {\"cell\": \"Diaminopimelic acid\", \"bbox\": [160, 240, 228, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"RA [39]\", \"bbox\": [387, 240, 412, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 254, 23, 264]}, {\"cell\": \"Cytoplasm\", \"bbox\": [75, 254, 111, 264]}, {\"cell\": \"RNA, DNA, MDP\", \"bbox\": [160, 254, 213, 264]}, {\"cell\": \"ATP\", \"bbox\": [279, 254, 293, 264]}, {\"cell\": \"Gout [3], RA [40], OA [59,60]\", \"bbox\": [387, 254, 478, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 268, 345, 278]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4432834_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Primer nameSequenceFIV genomic position *Assay
feline GAPDH for[EMPTY_CELL]NAFeline GAPDH QT PCR
feline GAPDH rev[EMPTY_CELL]NAFeline GAPDH QT PCR
18s rRNA for[EMPTY_CELL]NAFeline 18s rRNA
18s rRNA rev[EMPTY_CELL]NAFeline 18s rRNA
FIV QT gag for[EMPTY_CELL]1067FIVgag QT PCR
FIV QT gag rev[EMPTY_CELL]1167FIVgag QT PCR
FIV Gag leader for[EMPTY_CELL]354FIV gag sequencing
Gag circle rev[EMPTY_CELL]989FIV gag sequencing
FIV U5 rev[EMPTY_CELL]338FIV LTR sequencing
FIV env for[EMPTY_CELL]9043FIV LTR sequencing + CJ A and B
FIV gag circle rev3[EMPTY_CELL]403CJ B
FIV gag rev[EMPTY_CELL]1345CJ A
FIV u5 for[EMPTY_CELL]290CJ C
FIV u3 rev[EMPTY_CELL]155CJ C
\", \"cells\": [{\"cell\": \"Primer name\", \"bbox\": [10, 4, 57, 13]}, {\"cell\": \"Sequence\", \"bbox\": [144, 4, 180, 13]}, {\"cell\": \"FIV genomic position *\", \"bbox\": [265, 4, 347, 13]}, {\"cell\": \"Assay\", \"bbox\": [411, 4, 432, 13]}, {\"cell\": \"feline GAPDH for\", \"bbox\": [9, 17, 58, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 17, 222, 27]}, {\"cell\": \"NA\", \"bbox\": [300, 17, 311, 27]}, {\"cell\": \"Feline GAPDH QT PCR\", \"bbox\": [384, 17, 458, 27]}, {\"cell\": \"feline GAPDH rev\", \"bbox\": [9, 30, 58, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [104, 30, 220, 40]}, {\"cell\": \"NA\", \"bbox\": [300, 30, 311, 40]}, {\"cell\": \"Feline GAPDH QT PCR\", \"bbox\": [384, 30, 458, 40]}, {\"cell\": \"18s rRNA for\", \"bbox\": [16, 44, 52, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 44, 218, 53]}, {\"cell\": \"NA\", \"bbox\": [300, 44, 311, 53]}, {\"cell\": \"Feline 18s rRNA\", \"bbox\": [395, 44, 448, 53]}, {\"cell\": \"18s rRNA rev\", \"bbox\": [15, 57, 52, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [104, 57, 219, 66]}, {\"cell\": \"NA\", \"bbox\": [300, 57, 311, 66]}, {\"cell\": \"Feline 18s rRNA\", \"bbox\": [395, 57, 448, 66]}, {\"cell\": \"FIV QT gag for\", \"bbox\": [13, 70, 54, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 70, 219, 79]}, {\"cell\": \"1067\", \"bbox\": [297, 70, 314, 79]}, {\"cell\": \"FIVgag QT PCR\", \"bbox\": [396, 70, 446, 79]}, {\"cell\": \"FIV QT gag rev\", \"bbox\": [13, 83, 55, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [104, 83, 219, 93]}, {\"cell\": \"1167\", \"bbox\": [297, 83, 314, 93]}, {\"cell\": \"FIVgag QT PCR\", \"bbox\": [396, 83, 446, 93]}, {\"cell\": \"FIV Gag leader for\", \"bbox\": [9, 96, 59, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [110, 96, 213, 106]}, {\"cell\": \"354\", \"bbox\": [299, 96, 312, 106]}, {\"cell\": \"FIV gag sequencing\", \"bbox\": [389, 96, 454, 106]}, {\"cell\": \"Gag circle rev\", \"bbox\": [14, 110, 54, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 110, 232, 119]}, {\"cell\": \"989\", \"bbox\": [299, 110, 312, 119]}, {\"cell\": \"FIV gag sequencing\", \"bbox\": [389, 110, 454, 119]}, {\"cell\": \"FIV U5 rev\", \"bbox\": [18, 123, 49, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 123, 233, 132]}, {\"cell\": \"338\", \"bbox\": [299, 123, 312, 132]}, {\"cell\": \"FIV LTR sequencing\", \"bbox\": [389, 123, 454, 132]}, {\"cell\": \"FIV env for\", \"bbox\": [18, 136, 50, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [104, 136, 220, 145]}, {\"cell\": \"9043\", \"bbox\": [297, 136, 314, 145]}, {\"cell\": \"FIV LTR sequencing + CJ A and B\", \"bbox\": [366, 136, 477, 145]}, {\"cell\": \"FIV gag circle rev3\", \"bbox\": [8, 149, 59, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [99, 149, 225, 159]}, {\"cell\": \"403\", \"bbox\": [299, 149, 312, 159]}, {\"cell\": \"CJ B\", \"bbox\": [413, 149, 429, 159]}, {\"cell\": \"FIV gag rev\", \"bbox\": [17, 162, 50, 173]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 162, 224, 172]}, {\"cell\": \"1345\", \"bbox\": [297, 162, 314, 172]}, {\"cell\": \"CJ A\", \"bbox\": [413, 162, 430, 172]}, {\"cell\": \"FIV u5 for\", \"bbox\": [19, 176, 48, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 176, 245, 185]}, {\"cell\": \"290\", \"bbox\": [299, 176, 312, 185]}, {\"cell\": \"CJ C\", \"bbox\": [413, 176, 430, 185]}, {\"cell\": \"FIV u3 rev\", \"bbox\": [19, 189, 49, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [97, 189, 227, 198]}, {\"cell\": \"155\", \"bbox\": [299, 189, 312, 198]}, {\"cell\": \"CJ C\", \"bbox\": [413, 189, 430, 198]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3292463_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
FOOD GROUPWeight Maintenance ServesWeight Regain Serves
[EMPTY_CELL]34
[EMPTY_CELL]12
[EMPTY_CELL]22
[EMPTY_CELL]44
[EMPTY_CELL]24
[EMPTY_CELL]34
[EMPTY_CELL]24
[EMPTY_CELL]11
[EMPTY_CELL]1.5 to 2.0 Litres/day1.5 to 2.0 Litres/day
\", \"cells\": [{\"cell\": \"FOOD GROUP\", \"bbox\": [1, 4, 48, 13]}, {\"cell\": \"Weight Maintenance Serves\", \"bbox\": [272, 4, 363, 13]}, {\"cell\": \"Weight Regain Serves\", \"bbox\": [413, 4, 484, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 208, 36]}, {\"cell\": \"3\", \"bbox\": [272, 17, 277, 27]}, {\"cell\": \"4\", \"bbox\": [413, 17, 419, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 40, 104, 59]}, {\"cell\": \"1\", \"bbox\": [272, 40, 277, 50]}, {\"cell\": \"2\", \"bbox\": [413, 40, 419, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 63, 187, 82]}, {\"cell\": \"2\", \"bbox\": [272, 63, 277, 73]}, {\"cell\": \"2\", \"bbox\": [413, 63, 419, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 86, 119, 105]}, {\"cell\": \"4\", \"bbox\": [272, 86, 277, 96]}, {\"cell\": \"4\", \"bbox\": [413, 86, 419, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 109, 153, 128]}, {\"cell\": \"2\", \"bbox\": [272, 109, 277, 119]}, {\"cell\": \"4\", \"bbox\": [413, 109, 419, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 132, 103, 151]}, {\"cell\": \"3\", \"bbox\": [272, 132, 277, 142]}, {\"cell\": \"4\", \"bbox\": [413, 132, 419, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 155, 218, 174]}, {\"cell\": \"2\", \"bbox\": [272, 155, 277, 165]}, {\"cell\": \"4\", \"bbox\": [413, 155, 419, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 178, 221, 197]}, {\"cell\": \"1\", \"bbox\": [272, 178, 277, 188]}, {\"cell\": \"1\", \"bbox\": [413, 178, 419, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 201, 93, 220]}, {\"cell\": \"1.5 to 2.0 Litres/day\", \"bbox\": [272, 201, 336, 211]}, {\"cell\": \"1.5 to 2.0 Litres/day\", \"bbox\": [413, 201, 478, 211]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5878939_006_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Conduct disorderHealthy control group
[EMPTY_CELL]Male (n = 14)Female (n = 13)Male (n = 16)Female (n = 13)
FA (right)0.39 ± 0.01a,b[EMPTY_CELL]0.38 ± 0.020.39 ± 0.03
MD (right)0.82 ± 0.02[EMPTY_CELL]0.84 ± 0.020.83 ± 0.02
AD_(right)1.20 ± 0.03[EMPTY_CELL]1.21 ± 0.031.21 ± 0.04
RD_(right)0.64 ± 0.02b[EMPTY_CELL]0.66 ± 0.020.64 ± 0.03
Length_(right)75 ± 11[EMPTY_CELL]75 ± 1473 ± 12
Number_(right)315 ± 73b[EMPTY_CELL]232 ± 130258 ± 125
FA (left)0.42 ± 0.02a,b[EMPTY_CELL]0.40 ± 0.020.41 ± 0.02
MD (left)0.80 ± 0.02[EMPTY_CELL]0.81 ± 0.020.81 ± 0.02
AD (left)1.20 ± 0.03[EMPTY_CELL]1.20 ± 0.041.20 ± 0.03
RD (left)0.60 ± 0.02a,b[EMPTY_CELL]0.62 ± 0.020.61 ± 0.03
Length (left)71 ± 8[EMPTY_CELL]74 ± 1366 ± 15
Number (left)194 ± 82[EMPTY_CELL]176 ± 99200 ± 108
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Conduct disorder\", \"bbox\": [164, 4, 230, 15]}, {\"cell\": \"Healthy control group\", \"bbox\": [376, 4, 457, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Male (n = 14)\", \"bbox\": [114, 16, 164, 27]}, {\"cell\": \"Female (n = 13)\", \"bbox\": [221, 16, 278, 27]}, {\"cell\": \"Male (n = 16)\", \"bbox\": [335, 16, 385, 27]}, {\"cell\": \"Female (n = 13)\", \"bbox\": [442, 16, 499, 27]}, {\"cell\": \"FA (right)\", \"bbox\": [2, 29, 40, 40]}, {\"cell\": \"0.39 ± 0.01a,b\", \"bbox\": [115, 26, 162, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 26, 270, 41]}, {\"cell\": \"0.38 ± 0.02\", \"bbox\": [339, 26, 380, 41]}, {\"cell\": \"0.39 ± 0.03\", \"bbox\": [450, 26, 491, 41]}, {\"cell\": \"MD (right)\", \"bbox\": [2, 42, 45, 52]}, {\"cell\": \"0.82 ± 0.02\", \"bbox\": [119, 38, 160, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 38, 270, 54]}, {\"cell\": \"0.84 ± 0.02\", \"bbox\": [339, 38, 380, 54]}, {\"cell\": \"0.83 ± 0.02\", \"bbox\": [450, 38, 491, 54]}, {\"cell\": \"AD_(right)\", \"bbox\": [2, 54, 44, 65]}, {\"cell\": \"1.20 ± 0.03\", \"bbox\": [119, 51, 159, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 51, 270, 66]}, {\"cell\": \"1.21 ± 0.03\", \"bbox\": [341, 51, 379, 66]}, {\"cell\": \"1.21 ± 0.04\", \"bbox\": [451, 51, 490, 66]}, {\"cell\": \"RD_(right)\", \"bbox\": [2, 67, 43, 77]}, {\"cell\": \"0.64 ± 0.02b\", \"bbox\": [117, 63, 161, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 63, 270, 79]}, {\"cell\": \"0.66 ± 0.02\", \"bbox\": [339, 63, 381, 79]}, {\"cell\": \"0.64 ± 0.03\", \"bbox\": [449, 63, 491, 79]}, {\"cell\": \"Length_(right)\", \"bbox\": [2, 79, 57, 90]}, {\"cell\": \"75 ± 11\", \"bbox\": [126, 76, 152, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 76, 263, 91]}, {\"cell\": \"75 ± 14\", \"bbox\": [346, 76, 373, 91]}, {\"cell\": \"73 ± 12\", \"bbox\": [457, 76, 483, 91]}, {\"cell\": \"Number_(right)\", \"bbox\": [2, 91, 61, 102]}, {\"cell\": \"315 ± 73b\", \"bbox\": [122, 88, 156, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 88, 267, 104]}, {\"cell\": \"232 ± 130\", \"bbox\": [342, 88, 377, 104]}, {\"cell\": \"258 ± 125\", \"bbox\": [452, 88, 488, 104]}, {\"cell\": \"FA (left)\", \"bbox\": [2, 104, 34, 115]}, {\"cell\": \"0.42 ± 0.02a,b\", \"bbox\": [115, 101, 163, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 101, 270, 117]}, {\"cell\": \"0.40 ± 0.02\", \"bbox\": [339, 101, 381, 117]}, {\"cell\": \"0.41 ± 0.02\", \"bbox\": [450, 101, 490, 117]}, {\"cell\": \"MD (left)\", \"bbox\": [2, 117, 39, 127]}, {\"cell\": \"0.80 ± 0.02\", \"bbox\": [118, 114, 160, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 114, 270, 129]}, {\"cell\": \"0.81 ± 0.02\", \"bbox\": [340, 114, 380, 129]}, {\"cell\": \"0.81 ± 0.02\", \"bbox\": [450, 114, 490, 129]}, {\"cell\": \"AD (left)\", \"bbox\": [2, 129, 37, 140]}, {\"cell\": \"1.20 ± 0.03\", \"bbox\": [119, 126, 159, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [230, 126, 269, 141]}, {\"cell\": \"1.20 ± 0.04\", \"bbox\": [340, 126, 380, 141]}, {\"cell\": \"1.20 ± 0.03\", \"bbox\": [450, 126, 490, 141]}, {\"cell\": \"RD (left)\", \"bbox\": [2, 142, 36, 152]}, {\"cell\": \"0.60 ± 0.02a,b\", \"bbox\": [115, 138, 163, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 138, 270, 154]}, {\"cell\": \"0.62 ± 0.02\", \"bbox\": [339, 138, 380, 154]}, {\"cell\": \"0.61 ± 0.03\", \"bbox\": [450, 138, 490, 154]}, {\"cell\": \"Length (left)\", \"bbox\": [2, 154, 49, 165]}, {\"cell\": \"71 ± 8\", \"bbox\": [128, 151, 151, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 151, 263, 166]}, {\"cell\": \"74 ± 13\", \"bbox\": [346, 151, 373, 166]}, {\"cell\": \"66 ± 15\", \"bbox\": [456, 151, 484, 166]}, {\"cell\": \"Number (left)\", \"bbox\": [2, 167, 54, 177]}, {\"cell\": \"194 ± 82\", \"bbox\": [123, 163, 155, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 163, 267, 179]}, {\"cell\": \"176 ± 99\", \"bbox\": [344, 163, 376, 179]}, {\"cell\": \"200 ± 108\", \"bbox\": [452, 163, 488, 179]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4009134_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Job dissatisfaction during two subsequent years and ...FrequencyTransition from ... to job lock FrequencyTransition from job lock to ...Frequency
N %N %N %
[EMPTY_CELL]160554.41 = dissatisfied and immobile48461.41 = dissatisfied and immobile36444.1
[EMPTY_CELL][EMPTY_CELL]2 = dissatisfied and mobile516.52 = dissatisfied and mobile789.5
[EMPTY_CELL]134445.63 = satisfied and immobile20626.13 = satisfied and immobile26732.4
[EMPTY_CELL][EMPTY_CELL]4 = satisfied and mobile476.04 = satisfied and mobile11614.1
[EMPTY_CELL]2949100[EMPTY_CELL]788100[EMPTY_CELL]825100
\", \"cells\": [{\"cell\": \"Job dissatisfaction during two subsequent years and ...\", \"bbox\": [2, 5, 111, 27]}, {\"cell\": \"Frequency\", \"bbox\": [138, 4, 177, 15]}, {\"cell\": \"Transition from ... to job lock \", \"bbox\": [193, 5, 252, 27]}, {\"cell\": \"Frequency\", \"bbox\": [291, 4, 331, 15]}, {\"cell\": \"Transition from job lock to ...\", \"bbox\": [367, 5, 426, 27]}, {\"cell\": \"Frequency\", \"bbox\": [445, 4, 485, 15]}, {\"cell\": \"N \", \"bbox\": [135, 18, 143, 26]}, {\"cell\": \"%\", \"bbox\": [169, 18, 178, 29]}, {\"cell\": \"N \", \"bbox\": [279, 18, 287, 26]}, {\"cell\": \"%\", \"bbox\": [334, 18, 343, 29]}, {\"cell\": \"N \", \"bbox\": [443, 18, 452, 26]}, {\"cell\": \"%\", \"bbox\": [478, 18, 487, 29]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 36, 120, 57]}, {\"cell\": \"1605\", \"bbox\": [130, 40, 148, 51]}, {\"cell\": \"54.4\", \"bbox\": [165, 40, 182, 51]}, {\"cell\": \"1 = dissatisfied and immobile\", \"bbox\": [197, 31, 250, 52]}, {\"cell\": \"484\", \"bbox\": [276, 36, 291, 47]}, {\"cell\": \"61.4\", \"bbox\": [330, 36, 346, 47]}, {\"cell\": \"1 = dissatisfied and immobile\", \"bbox\": [371, 31, 425, 52]}, {\"cell\": \"364\", \"bbox\": [440, 36, 455, 47]}, {\"cell\": \"44.1\", \"bbox\": [475, 36, 491, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2 = dissatisfied and mobile\", \"bbox\": [196, 54, 251, 75]}, {\"cell\": \"51\", \"bbox\": [279, 59, 288, 70]}, {\"cell\": \"6.5\", \"bbox\": [332, 59, 345, 70]}, {\"cell\": \"2 = dissatisfied and mobile\", \"bbox\": [371, 54, 425, 75]}, {\"cell\": \"78\", \"bbox\": [443, 59, 453, 70]}, {\"cell\": \"9.5\", \"bbox\": [477, 59, 489, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 82, 117, 103]}, {\"cell\": \"1344\", \"bbox\": [130, 86, 148, 97]}, {\"cell\": \"45.6\", \"bbox\": [165, 86, 182, 97]}, {\"cell\": \"3 = satisfied and immobile\", \"bbox\": [194, 77, 254, 98]}, {\"cell\": \"206\", \"bbox\": [276, 82, 291, 93]}, {\"cell\": \"26.1\", \"bbox\": [330, 82, 346, 93]}, {\"cell\": \"3 = satisfied and immobile\", \"bbox\": [368, 77, 428, 98]}, {\"cell\": \"267\", \"bbox\": [440, 82, 455, 93]}, {\"cell\": \"32.4\", \"bbox\": [474, 82, 491, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"4 = satisfied and mobile\", \"bbox\": [194, 100, 254, 121]}, {\"cell\": \"47\", \"bbox\": [278, 105, 289, 116]}, {\"cell\": \"6.0\", \"bbox\": [332, 105, 345, 116]}, {\"cell\": \"4 = satisfied and mobile\", \"bbox\": [368, 100, 428, 121]}, {\"cell\": \"116\", \"bbox\": [442, 105, 454, 116]}, {\"cell\": \"14.1\", \"bbox\": [476, 105, 490, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 124, 23, 135]}, {\"cell\": \"2949\", \"bbox\": [129, 124, 149, 135]}, {\"cell\": \"100\", \"bbox\": [167, 124, 181, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"788\", \"bbox\": [276, 124, 291, 135]}, {\"cell\": \"100\", \"bbox\": [331, 124, 345, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"825\", \"bbox\": [441, 124, 455, 135]}, {\"cell\": \"100\", \"bbox\": [476, 124, 490, 135]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3664490_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]MRSANo MRSAp
[EMPTY_CELL](n = 837)(n = 5138)[EMPTY_CELL]
Demographics[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Age, mean ± SD, years[EMPTY_CELL]67.1 ± 17.0<0.001
Male, %[EMPTY_CELL]55.7%0.435
Race[EMPTY_CELL][EMPTY_CELL]0.606
Caucasian, %[EMPTY_CELL]82.1%[EMPTY_CELL]
African-American, %[EMPTY_CELL]13.4%[EMPTY_CELL]
Other/Unknown, %[EMPTY_CELL]4.5%[EMPTY_CELL]
Co morbid illnesses (current or prior to index admission unless noted)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Hypertension, %[EMPTY_CELL]52.8%0.075
Diabetes mellitus, %[EMPTY_CELL]25.4%0.117
Coronary artery disease, %[EMPTY_CELL]27.6%0.358
Congestive heart failure, %[EMPTY_CELL]26.8%<0.001
Chronic obstructive pulmonary disease, %[EMPTY_CELL]44.7%0.004
Malignancy (includes lymphoma, myeloma, secondary neoplasm), %[EMPTY_CELL]14.%0.433
Cerebrovascular disease (any) prior to index admission, %[EMPTY_CELL]5.0%<0.001
Ischemic stroke prior to index admission, %[EMPTY_CELL]3.2%0.007
Dementia, %[EMPTY_CELL]4.6%<0.001
Chronic haemodialysis, %[EMPTY_CELL]15.6%<0.001
Healthcare-associated risk factors[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Nursing home/skilled nursing facility/long term acute care exposure within last 90 days, %[EMPTY_CELL]11.4%<0.001
Hospital-based wound care within 30 days prior to index admission, %[EMPTY_CELL]1.32%<0.001
Recent hospitalization (for ≥ 2 days and within the last 90 days), %[EMPTY_CELL]21.7%<0.001
Prior intravenous antibiotic therapy within the last 30 days, %[EMPTY_CELL]1.3%<0.001
Immunosuppression, %[EMPTY_CELL]16.2%<0.001
Severity of illness[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Intensive care unit admission (on or before index culture), %[EMPTY_CELL]14.9%<0.001
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"MRSA\", \"bbox\": [331, 4, 353, 13]}, {\"cell\": \"No MRSA\", \"bbox\": [393, 4, 428, 13]}, {\"cell\": \"p\", \"bbox\": [469, 4, 476, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"(n = 837)\", \"bbox\": [326, 17, 358, 27]}, {\"cell\": \"(n = 5138)\", \"bbox\": [393, 17, 429, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Demographics\", \"bbox\": [1, 30, 53, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Age, mean ± SD, years\", \"bbox\": [1, 44, 74, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [325, 44, 360, 54]}, {\"cell\": \"67.1 ± 17.0\", \"bbox\": [393, 44, 428, 54]}, {\"cell\": \"<0.001\", \"bbox\": [461, 44, 484, 54]}, {\"cell\": \"Male, %\", \"bbox\": [1, 58, 27, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [332, 58, 353, 68]}, {\"cell\": \"55.7%\", \"bbox\": [400, 58, 421, 68]}, {\"cell\": \"0.435\", \"bbox\": [463, 58, 482, 68]}, {\"cell\": \"Race\", \"bbox\": [1, 72, 17, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.606\", \"bbox\": [463, 72, 482, 82]}, {\"cell\": \"Caucasian, %\", \"bbox\": [10, 86, 53, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [332, 86, 353, 96]}, {\"cell\": \"82.1%\", \"bbox\": [400, 86, 421, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"African-American, %\", \"bbox\": [10, 100, 76, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [332, 100, 353, 110]}, {\"cell\": \"13.4%\", \"bbox\": [400, 100, 421, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Other/Unknown, %\", \"bbox\": [10, 114, 73, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [334, 114, 351, 124]}, {\"cell\": \"4.5%\", \"bbox\": [402, 114, 419, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Co morbid illnesses (current or prior to index admission unless noted)\", \"bbox\": [1, 128, 246, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Hypertension, %\", \"bbox\": [1, 142, 55, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [332, 142, 353, 152]}, {\"cell\": \"52.8%\", \"bbox\": [400, 142, 421, 152]}, {\"cell\": \"0.075\", \"bbox\": [463, 142, 482, 152]}, {\"cell\": \"Diabetes mellitus, %\", \"bbox\": [1, 156, 67, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [332, 156, 353, 166]}, {\"cell\": \"25.4%\", \"bbox\": [400, 156, 421, 166]}, {\"cell\": \"0.117\", \"bbox\": [463, 156, 482, 166]}, {\"cell\": \"Coronary artery disease, %\", \"bbox\": [1, 170, 87, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [332, 170, 353, 180]}, {\"cell\": \"27.6%\", \"bbox\": [400, 170, 421, 180]}, {\"cell\": \"0.358\", \"bbox\": [463, 170, 482, 180]}, {\"cell\": \"Congestive heart failure, %\", \"bbox\": [1, 184, 88, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [332, 184, 353, 194]}, {\"cell\": \"26.8%\", \"bbox\": [400, 184, 421, 194]}, {\"cell\": \"<0.001\", \"bbox\": [461, 184, 484, 194]}, {\"cell\": \"Chronic obstructive pulmonary disease, %\", \"bbox\": [1, 198, 137, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [332, 198, 353, 208]}, {\"cell\": \"44.7%\", \"bbox\": [400, 198, 421, 208]}, {\"cell\": \"0.004\", \"bbox\": [463, 198, 482, 208]}, {\"cell\": \"Malignancy (includes lymphoma, myeloma, secondary neoplasm), %\", \"bbox\": [1, 212, 221, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [332, 212, 353, 222]}, {\"cell\": \"14.%\", \"bbox\": [402, 212, 419, 222]}, {\"cell\": \"0.433\", \"bbox\": [463, 212, 482, 222]}, {\"cell\": \"Cerebrovascular disease (any) prior to index admission, %\", \"bbox\": [1, 226, 186, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [332, 226, 353, 236]}, {\"cell\": \"5.0%\", \"bbox\": [402, 226, 419, 236]}, {\"cell\": \"<0.001\", \"bbox\": [461, 226, 484, 236]}, {\"cell\": \"Ischemic stroke prior to index admission, %\", \"bbox\": [1, 240, 142, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [334, 240, 351, 250]}, {\"cell\": \"3.2%\", \"bbox\": [402, 240, 419, 250]}, {\"cell\": \"0.007\", \"bbox\": [463, 240, 482, 250]}, {\"cell\": \"Dementia, %\", \"bbox\": [1, 254, 43, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [334, 254, 351, 264]}, {\"cell\": \"4.6%\", \"bbox\": [402, 254, 419, 264]}, {\"cell\": \"<0.001\", \"bbox\": [461, 254, 484, 264]}, {\"cell\": \"Chronic haemodialysis, %\", \"bbox\": [1, 268, 84, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [332, 268, 353, 278]}, {\"cell\": \"15.6%\", \"bbox\": [400, 268, 421, 278]}, {\"cell\": \"<0.001\", \"bbox\": [461, 268, 484, 278]}, {\"cell\": \"Healthcare-associated risk factors\", \"bbox\": [1, 282, 118, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Nursing home/skilled nursing facility/long term acute care exposure within last 90 days, %\", \"bbox\": [1, 296, 292, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [332, 296, 353, 306]}, {\"cell\": \"11.4%\", \"bbox\": [400, 296, 421, 306]}, {\"cell\": \"<0.001\", \"bbox\": [461, 296, 484, 306]}, {\"cell\": \"Hospital-based wound care within 30 days prior to index admission, %\", \"bbox\": [1, 310, 229, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [332, 310, 353, 320]}, {\"cell\": \"1.32%\", \"bbox\": [400, 310, 421, 320]}, {\"cell\": \"<0.001\", \"bbox\": [461, 310, 484, 320]}, {\"cell\": \"Recent hospitalization (for ≥ 2 days and within the last 90 days), %\", \"bbox\": [1, 324, 217, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [332, 324, 353, 334]}, {\"cell\": \"21.7%\", \"bbox\": [400, 324, 421, 334]}, {\"cell\": \"<0.001\", \"bbox\": [461, 324, 484, 334]}, {\"cell\": \"Prior intravenous antibiotic therapy within the last 30 days, %\", \"bbox\": [1, 338, 200, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [334, 338, 351, 348]}, {\"cell\": \"1.3%\", \"bbox\": [402, 338, 419, 348]}, {\"cell\": \"<0.001\", \"bbox\": [461, 338, 484, 348]}, {\"cell\": \"Immunosuppression, %\", \"bbox\": [1, 352, 77, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [332, 352, 353, 362]}, {\"cell\": \"16.2%\", \"bbox\": [400, 352, 421, 362]}, {\"cell\": \"<0.001\", \"bbox\": [461, 352, 484, 362]}, {\"cell\": \"Severity of illness\", \"bbox\": [1, 366, 63, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Intensive care unit admission (on or before index culture), %\", \"bbox\": [1, 380, 196, 390]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [332, 380, 353, 390]}, {\"cell\": \"14.9%\", \"bbox\": [400, 380, 421, 390]}, {\"cell\": \"<0.001\", \"bbox\": [461, 380, 484, 390]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3681572_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Model 0Model 1bModel 2bModel 3bModel 4bModel 5bModel 6b
[EMPTY_CELL]Fixed effectsFixed effectsFixed effectsFixed effectsFixed effectsFixed effectsFixed effects
VariablesSRHSRHSRH[EMPTY_CELL]SRHSRHSRH
Unemployment−0.044**−0.042−0.043[EMPTY_CELL]−0.044**−0.027−0.044*
[EMPTY_CELL](0.021)(0.021)(0.021)[EMPTY_CELL](0.021)(0.020)(0.021)
[EMPTY_CELL][EMPTY_CELL]0.020[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL](0.035)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Relative income[EMPTY_CELL][EMPTY_CELL]0.017[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL](0.033)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Relative rank[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Income deprivation[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.131[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL](0.166)[EMPTY_CELL][EMPTY_CELL]
Financial strain[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]−0.059***[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL](0.014)[EMPTY_CELL]
Absolute income – excl. unemployment benefit[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.015
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL](0.034)
Unemployment benefit[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.010
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL](0.015)
Control for partnership status:[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]YESNONO[EMPTY_CELL]NOYESNO
Observations16,91316,91316,913[EMPTY_CELL]16,91316,91316,912
R-squared (within)0.0090.0090.009[EMPTY_CELL]0.0090.0130.009
Number of respondents6,2006,2006,200[EMPTY_CELL]6,2006,2006,200
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274, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [302, 310, 320, 320]}, {\"cell\": \"0.009\", \"bbox\": [349, 310, 367, 320]}, {\"cell\": \"0.013\", \"bbox\": [396, 310, 414, 320]}, {\"cell\": \"0.009\", \"bbox\": [443, 310, 461, 320]}, {\"cell\": \"Number of respondents\", \"bbox\": [1, 324, 79, 334]}, {\"cell\": \"6,200\", \"bbox\": [161, 324, 180, 334]}, {\"cell\": \"6,200\", \"bbox\": [208, 324, 227, 334]}, {\"cell\": \"6,200\", \"bbox\": [255, 324, 274, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [302, 324, 320, 334]}, {\"cell\": \"6,200\", \"bbox\": [349, 324, 367, 334]}, {\"cell\": \"6,200\", \"bbox\": [396, 324, 414, 334]}, {\"cell\": \"6,200\", \"bbox\": [443, 324, 461, 334]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4858892_009_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Number (%)Correct knowledge %OR (95%CI)P
Age, years[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
60–64910 (32.9)25.4reference[EMPTY_CELL]
65–69775 (28.0)25.51.01 (0.81–1.26)[EMPTY_CELL]
70–74554 (20.0)24.20.94 (0.76–1.24)[EMPTY_CELL]
75–79348 (12.6)19.50.71 (0.53–0.97)[EMPTY_CELL]
80–84180 (6.5)15.60.54 (0.35–0.83)[EMPTY_CELL]
Gender[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Male1215 (43.9)25.3reference[EMPTY_CELL]
Female1552 (56.1)22.60.86 (0.72–1.03)[EMPTY_CELL]
Marital status[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Married/cohabiting1842 (65.9)24.2reference[EMPTY_CELL]
Single*943 (34.1)23.10.94 (0.78–1.14)[EMPTY_CELL]
Education level[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
High303 (11.0)30.7reference[EMPTY_CELL]
medium939 (33.9)27.40.85 (0.64–1.13)[EMPTY_CELL]
Low1025 (37.0)22.50.66 (0.49–0.87)[EMPTY_CELL]
Illiterate500 (18.1)15.60.42 (0.29–0.59)[EMPTY_CELL]
Household income[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
High1169 (42.6)25.1reference[EMPTY_CELL]
Medium706 (25.7)21.80.83 (0.67–1.04)[EMPTY_CELL]
Low871 (31.7)23.00.89 (0.72–1.09)[EMPTY_CELL]
Family history of stroke[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Family history470 (17.0)77.2reference[EMPTY_CELL]
No family history2297 (83.0)64.30.84 (0.67–1.05)[EMPTY_CELL]
Knowledge of the definition of stroke[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Correct1214 (43.9)28.7reference[EMPTY_CELL]
Incorrect1553 (56.1)20.00.62 (0.52–0.74)[EMPTY_CELL]
Preferred medical treatment[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Western1625 (58.7)24.7reference[EMPTY_CELL]
Oriental Traditional1142 (41.3)22.51.13 (0.95–1.35)[EMPTY_CELL]
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\"bbox\": [372, 47, 428, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 70–74\", \"bbox\": [14, 57, 37, 67]}, {\"cell\": \"554 (20.0)\", \"bbox\": [190, 57, 226, 67]}, {\"cell\": \"24.2\", \"bbox\": [259, 57, 275, 67]}, {\"cell\": \"0.94 (0.76–1.24)\", \"bbox\": [372, 57, 428, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 75–79\", \"bbox\": [14, 67, 37, 77]}, {\"cell\": \"348 (12.6)\", \"bbox\": [190, 67, 226, 77]}, {\"cell\": \"19.5\", \"bbox\": [259, 67, 275, 77]}, {\"cell\": \"0.71 (0.53–0.97)\", \"bbox\": [372, 67, 428, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 80–84\", \"bbox\": [14, 78, 37, 88]}, {\"cell\": \"180 (6.5)\", \"bbox\": [190, 78, 222, 88]}, {\"cell\": \"15.6\", \"bbox\": [259, 78, 275, 88]}, {\"cell\": \"0.54 (0.35–0.83)\", \"bbox\": [372, 78, 428, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Gender\", \"bbox\": [4, 98, 32, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Male\", \"bbox\": [14, 108, 32, 118]}, {\"cell\": \"1215 (43.9)\", \"bbox\": [190, 108, 230, 118]}, {\"cell\": \"25.3\", \"bbox\": [259, 108, 275, 118]}, {\"cell\": \"reference\", \"bbox\": [372, 109, 403, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 108, 480, 118]}, {\"cell\": \" Female\", \"bbox\": [14, 119, 40, 129]}, {\"cell\": \"1552 (56.1)\", \"bbox\": [190, 119, 230, 129]}, {\"cell\": \"22.6\", \"bbox\": [259, 119, 275, 129]}, {\"cell\": \"0.86 (0.72–1.03)\", \"bbox\": [372, 119, 428, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Marital status\", \"bbox\": [4, 139, 51, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Married/cohabiting\", \"bbox\": [14, 150, 79, 159]}, {\"cell\": \"1842 (65.9)\", \"bbox\": [190, 150, 230, 159]}, {\"cell\": \"24.2\", \"bbox\": [259, 150, 275, 159]}, {\"cell\": \"reference\", \"bbox\": [372, 150, 403, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 150, 480, 159]}, {\"cell\": \" Single*\", \"bbox\": [14, 160, 39, 170]}, {\"cell\": \"943 (34.1)\", \"bbox\": [190, 160, 226, 170]}, {\"cell\": \"23.1\", \"bbox\": [259, 160, 275, 170]}, {\"cell\": \"0.94 (0.78–1.14)\", \"bbox\": [372, 160, 428, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Education level\", \"bbox\": [4, 180, 57, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" High\", \"bbox\": [14, 190, 32, 200]}, {\"cell\": \"303 (11.0)\", \"bbox\": [190, 190, 226, 200]}, {\"cell\": \"30.7\", \"bbox\": [259, 190, 275, 200]}, {\"cell\": \"reference\", \"bbox\": [372, 191, 403, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 190, 484, 200]}, {\"cell\": \" medium\", \"bbox\": [14, 201, 43, 211]}, {\"cell\": \"939 (33.9)\", \"bbox\": [190, 201, 226, 211]}, {\"cell\": \"27.4\", \"bbox\": [259, 201, 275, 211]}, {\"cell\": \"0.85 (0.64–1.13)\", \"bbox\": [372, 201, 428, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Low\", \"bbox\": [14, 211, 31, 221]}, {\"cell\": \"1025 (37.0)\", \"bbox\": [190, 211, 230, 221]}, {\"cell\": \"22.5\", \"bbox\": [259, 211, 275, 221]}, {\"cell\": \"0.66 (0.49–0.87)\", \"bbox\": [372, 211, 428, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Illiterate\", \"bbox\": [14, 221, 44, 231]}, {\"cell\": \"500 (18.1)\", \"bbox\": [190, 221, 226, 231]}, {\"cell\": \"15.6\", \"bbox\": [259, 221, 275, 231]}, {\"cell\": \"0.42 (0.29–0.59)\", \"bbox\": [372, 221, 428, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Household income\", \"bbox\": [4, 242, 70, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" High\", \"bbox\": [14, 252, 32, 262]}, {\"cell\": \"1169 (42.6)\", \"bbox\": [190, 252, 230, 262]}, {\"cell\": \"25.1\", \"bbox\": [259, 252, 275, 262]}, {\"cell\": \"reference\", \"bbox\": [372, 252, 403, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 252, 480, 262]}, {\"cell\": \" Medium\", \"bbox\": [14, 262, 43, 272]}, {\"cell\": \"706 (25.7)\", \"bbox\": [190, 262, 226, 272]}, {\"cell\": \"21.8\", \"bbox\": [259, 262, 275, 272]}, {\"cell\": \"0.83 (0.67–1.04)\", \"bbox\": [372, 262, 428, 272]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Low\", \"bbox\": [14, 273, 31, 282]}, {\"cell\": \"871 (31.7)\", \"bbox\": [190, 273, 226, 282]}, {\"cell\": \"23.0\", \"bbox\": [259, 273, 275, 282]}, {\"cell\": \"0.89 (0.72–1.09)\", \"bbox\": [372, 273, 428, 282]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Family history of stroke\", \"bbox\": [4, 293, 86, 303]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Family history\", \"bbox\": [14, 303, 63, 313]}, {\"cell\": \"470 (17.0)\", \"bbox\": [190, 303, 226, 313]}, {\"cell\": \"77.2\", \"bbox\": [259, 303, 275, 313]}, {\"cell\": \"reference\", \"bbox\": [372, 304, 403, 313]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 303, 480, 313]}, {\"cell\": \" No family history\", \"bbox\": [14, 313, 74, 323]}, {\"cell\": \"2297 (83.0)\", \"bbox\": [190, 313, 230, 323]}, {\"cell\": \"64.3\", \"bbox\": [259, 313, 275, 323]}, {\"cell\": \"0.84 (0.67–1.05)\", \"bbox\": [372, 313, 428, 323]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Knowledge of the definition of stroke\", \"bbox\": [4, 334, 132, 344]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Correct\", \"bbox\": [14, 344, 44, 354]}, {\"cell\": \"1214 (43.9)\", \"bbox\": [190, 344, 230, 354]}, {\"cell\": \"28.7\", \"bbox\": [259, 344, 275, 354]}, {\"cell\": \"reference\", \"bbox\": [372, 345, 403, 354]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 344, 484, 354]}, {\"cell\": \" Incorrect\", \"bbox\": [14, 355, 48, 364]}, {\"cell\": \"1553 (56.1)\", \"bbox\": [190, 355, 230, 364]}, {\"cell\": \"20.0\", \"bbox\": [259, 355, 275, 364]}, {\"cell\": \"0.62 (0.52–0.74)\", \"bbox\": [372, 355, 428, 364]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Preferred medical treatment\", \"bbox\": [4, 375, 102, 385]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Western\", \"bbox\": [14, 385, 46, 395]}, {\"cell\": \"1625 (58.7)\", \"bbox\": [190, 385, 230, 395]}, {\"cell\": \"24.7\", \"bbox\": [259, 385, 275, 395]}, {\"cell\": \"reference\", \"bbox\": [372, 386, 403, 395]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 385, 480, 395]}, {\"cell\": \" Oriental Traditional\", \"bbox\": [14, 396, 83, 405]}, {\"cell\": \"1142 (41.3)\", \"bbox\": [190, 396, 230, 405]}, {\"cell\": \"22.5\", \"bbox\": [259, 396, 275, 405]}, {\"cell\": \"1.13 (0.95–1.35)\", \"bbox\": [372, 396, 428, 405]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC1550724_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Hypomagnesemia
Grade 0Grade 1<p
No[EMPTY_CELL]9[EMPTY_CELL][EMPTY_CELL]
Sexa)Men/Women6/3[EMPTY_CELL]0.316
Body Hight (cm)b)Mean ± S.D.160.5 ± 9.6[EMPTY_CELL]0.556
Body Weight (kg)b)Mean ± S.D.57.3 ± 7.7[EMPTY_CELL]0.647
PSa)0/1or 26/3[EMPTY_CELL]0.439
AST (IU/l)b)Mean ± S.D.20.1 ± 3.3[EMPTY_CELL]0.794
ALT (IU/l)b)Mean ± S.D.14.4 ± 7.3[EMPTY_CELL]0.695
sCre (mg/dl)b)Mean ± S.D.0.65 ± 0.10[EMPTY_CELL]0.794
Neu (/mm3)b)Mean ± S.D.3253 ± 907[EMPTY_CELL]0.431
WBC (/mm3)b)Mean ± S.D.5211 ± 1230[EMPTY_CELL]0.144
PLT (/mm3)b)Mean ± S.D.193,778 ± 43,260[EMPTY_CELL]0.556
Hb (g/dl)b)Mean ± S.D.11.83 ± 1.67[EMPTY_CELL]0.948
Mg (mg/dl)b)Mean ± S.D.2.14 ± 0.25[EMPTY_CELL]0.749
Ca (mg/dl)b)Mean ± S.D.10.00 ± 0.37[EMPTY_CELL]0.845
Combination regimenFOLFIRI base6[EMPTY_CELL][EMPTY_CELL]
FOLFOX base02
CPT-11 alone20
Monotherapy12
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Hypomagnesemia\", \"bbox\": [237, 4, 297, 13]}, {\"cell\": \"Grade 0\", \"bbox\": [237, 17, 265, 27]}, {\"cell\": \"Grade 1<\", \"bbox\": [352, 17, 383, 27]}, {\"cell\": \"p\", \"bbox\": [466, 19, 472, 26]}, {\"cell\": \"No\", \"bbox\": [1, 30, 12, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"9\", \"bbox\": [237, 30, 243, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 30, 361, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Sexa)\", \"bbox\": [1, 43, 18, 54]}, {\"cell\": \"Men/Women\", \"bbox\": [133, 44, 177, 54]}, {\"cell\": \"6/3\", \"bbox\": [237, 44, 250, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 44, 368, 54]}, {\"cell\": \"0.316\", \"bbox\": [466, 44, 484, 54]}, {\"cell\": \"Body Hight (cm)b)\", \"bbox\": [1, 57, 60, 68]}, {\"cell\": \"Mean ± S.D.\", \"bbox\": [133, 58, 172, 68]}, {\"cell\": \"160.5 ± 9.6\", \"bbox\": [237, 58, 273, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 58, 387, 68]}, {\"cell\": \"0.556\", \"bbox\": [466, 58, 484, 68]}, {\"cell\": \"Body Weight (kg)b)\", \"bbox\": [1, 71, 63, 82]}, {\"cell\": \"Mean ± S.D.\", \"bbox\": [133, 72, 172, 82]}, {\"cell\": \"57.3 ± 7.7\", \"bbox\": [237, 72, 269, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 72, 387, 82]}, {\"cell\": \"0.647\", \"bbox\": [466, 72, 484, 82]}, {\"cell\": \"PSa)\", \"bbox\": [1, 85, 14, 96]}, {\"cell\": \"0/1or 2\", \"bbox\": [133, 86, 158, 96]}, {\"cell\": \"6/3\", \"bbox\": [237, 86, 250, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 86, 364, 96]}, {\"cell\": \"0.439\", \"bbox\": [466, 86, 484, 96]}, {\"cell\": \"AST (IU/l)b)\", \"bbox\": [1, 99, 37, 110]}, {\"cell\": \"Mean ± S.D.\", \"bbox\": [133, 100, 172, 110]}, {\"cell\": \"20.1 ± 3.3\", \"bbox\": [237, 100, 269, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 100, 383, 110]}, {\"cell\": \"0.794\", \"bbox\": [466, 100, 484, 110]}, {\"cell\": \"ALT (IU/l)b)\", \"bbox\": [1, 113, 37, 124]}, {\"cell\": \"Mean ± S.D.\", \"bbox\": [133, 114, 172, 124]}, {\"cell\": \"14.4 ± 7.3\", \"bbox\": [237, 114, 269, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 114, 383, 124]}, {\"cell\": \"0.695\", \"bbox\": [466, 114, 484, 124]}, {\"cell\": \"sCre (mg/dl)b)\", \"bbox\": [1, 127, 47, 138]}, {\"cell\": \"Mean ± S.D.\", \"bbox\": [133, 128, 172, 138]}, {\"cell\": \"0.65 ± 0.10\", \"bbox\": [237, 128, 273, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 128, 387, 138]}, {\"cell\": \"0.794\", \"bbox\": [466, 128, 484, 138]}, {\"cell\": \"Neu (/mm3)b)\", \"bbox\": [1, 141, 45, 152]}, {\"cell\": \"Mean ± S.D.\", \"bbox\": [133, 142, 172, 152]}, {\"cell\": \"3253 ± 907\", \"bbox\": [237, 142, 274, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 142, 392, 152]}, {\"cell\": \"0.431\", \"bbox\": [466, 142, 484, 152]}, {\"cell\": \"WBC (/mm3)b)\", \"bbox\": [1, 155, 47, 166]}, {\"cell\": \"Mean ± S.D.\", \"bbox\": [133, 156, 172, 166]}, {\"cell\": \"5211 ± 1230\", \"bbox\": [237, 156, 278, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 156, 392, 166]}, {\"cell\": \"0.144\", \"bbox\": [466, 156, 484, 166]}, {\"cell\": \"PLT (/mm3)b)\", \"bbox\": [1, 169, 44, 180]}, {\"cell\": \"Mean ± S.D.\", \"bbox\": [133, 170, 172, 180]}, {\"cell\": \"193,778 ± 43,260\", \"bbox\": [237, 170, 292, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 170, 406, 180]}, {\"cell\": \"0.556\", \"bbox\": [466, 170, 484, 180]}, {\"cell\": \"Hb (g/dl)b)\", \"bbox\": [1, 183, 36, 194]}, {\"cell\": \"Mean ± S.D.\", \"bbox\": [133, 184, 172, 194]}, {\"cell\": \"11.83 ± 1.67\", \"bbox\": [237, 184, 277, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 184, 391, 194]}, {\"cell\": \"0.948\", \"bbox\": [466, 184, 484, 194]}, {\"cell\": \"Mg (mg/dl)b)\", \"bbox\": [1, 197, 44, 208]}, {\"cell\": \"Mean ± S.D.\", \"bbox\": [133, 198, 172, 208]}, {\"cell\": \"2.14 ± 0.25\", \"bbox\": [237, 198, 273, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 198, 387, 208]}, {\"cell\": \"0.749\", \"bbox\": [466, 198, 484, 208]}, {\"cell\": \"Ca (mg/dl)b)\", \"bbox\": [1, 211, 41, 222]}, {\"cell\": \"Mean ± S.D.\", \"bbox\": [133, 212, 172, 222]}, {\"cell\": \"10.00 ± 0.37\", \"bbox\": [237, 212, 277, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 212, 387, 222]}, {\"cell\": \"0.845\", \"bbox\": [466, 212, 484, 222]}, {\"cell\": \"Combination regimen\", \"bbox\": [1, 226, 73, 236]}, {\"cell\": \"FOLFIRI base\", \"bbox\": [133, 226, 175, 236]}, {\"cell\": \"6\", \"bbox\": [237, 226, 243, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 226, 357, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"FOLFOX base\", \"bbox\": [133, 240, 178, 250]}, {\"cell\": \"0\", \"bbox\": [237, 240, 243, 250]}, {\"cell\": \"2\", \"bbox\": [352, 240, 357, 250]}, {\"cell\": \"CPT-11 alone\", \"bbox\": [133, 254, 177, 264]}, {\"cell\": \"2\", \"bbox\": [237, 254, 243, 264]}, {\"cell\": \"0\", \"bbox\": [352, 254, 357, 264]}, {\"cell\": \"Monotherapy\", \"bbox\": [133, 268, 178, 278]}, {\"cell\": \"1\", \"bbox\": [237, 268, 243, 278]}, {\"cell\": \"2\", \"bbox\": [352, 268, 357, 278]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5034421_004_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Characteristics (N)TypeNo. of patients (%)
Tumor Histology (N = 111)Ductual or lobular carcinoma in situ[EMPTY_CELL]
Invasive ductal carcinoma (IDC)98 (88.3)
Invasive lobular carcinoma (ILC)5 (4.5)
Mixed IDC and ILC3 (2.7)
Tumor Grade (N = 104)1 (well differentiated)[EMPTY_CELL]
2 (moderately differentiated)57 (54.8)
3 (poorly differentiated)32 (30.8)
T stage (N = 102)T0[EMPTY_CELL]
T133 (32.4)
T227 (26.5)
T310 (9.8)
N stage (N = 101)N0[EMPTY_CELL]
N132 (31.7)
N24 (4.0)
N33 (3.0)
Overall stage (N = 104)0[EMPTY_CELL]
IA, IB, IIA42 (40.4)
IIB14 (13.5)
IIIA, IIIB, IIIC13 (12.5)
IV2 (1.9)
Breast cancer subtype (N = 107)HR + /HER2−[EMPTY_CELL]
HR + /HER2+15 (14.0)
HR-/HER2+15 (14.0)
HR-/HER2−21 (19.6)
Disease recurrence (N = 114)No recurrence[EMPTY_CELL]
Recur23 (20.2)
Never disease free10 (8.8)
Recurrence site (N = 72)No recurrence[EMPTY_CELL]
Local recurrence1 (1.4)
Distant recurrence10 (14.9)
Recurrence free in 1 year (N = 85)Recurrence free[EMPTY_CELL]
Not Recurrence free10 (11.8)
Recurrence free in 2 years (N = 85)Recurrence free[EMPTY_CELL]
Not Recurrence free17 (20.0)
Recurrence free in 3 years (N = 85)Recurrence free[EMPTY_CELL]
Not Recurrence free18 (21.2)
Recurrence free in 4 years (N = 85)Recurrence free[EMPTY_CELL]
Not Recurrence free20 (23.5)
Recurrence free in 5 years (N = 85)Recurrence free[EMPTY_CELL]
Not Recurrence free25 (29.4)
\", \"cells\": [{\"cell\": \"Characteristics (N)\", \"bbox\": [1, 7, 53, 15]}, {\"cell\": \"Type\", \"bbox\": [103, 7, 118, 15]}, {\"cell\": \"No. of patients (%)\", \"bbox\": [209, 7, 244, 22]}, {\"cell\": \"Tumor Histology (N = 111)\", \"bbox\": [1, 29, 76, 37]}, {\"cell\": \"Ductual or lobular carcinoma in situ\", \"bbox\": [103, 29, 205, 37]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [209, 29, 228, 37]}, {\"cell\": \"Invasive ductal carcinoma (IDC)\", \"bbox\": [103, 39, 193, 47]}, {\"cell\": \"98 (88.3)\", \"bbox\": [209, 39, 235, 47]}, {\"cell\": \"Invasive lobular carcinoma (ILC)\", \"bbox\": [103, 49, 194, 57]}, {\"cell\": \"5 (4.5)\", \"bbox\": [209, 49, 228, 57]}, {\"cell\": \"Mixed IDC and ILC\", \"bbox\": [103, 59, 157, 67]}, {\"cell\": \"3 (2.7)\", \"bbox\": [209, 59, 228, 67]}, {\"cell\": \"Tumor Grade (N = 104)\", \"bbox\": [1, 69, 67, 77]}, {\"cell\": \"1 (well differentiated)\", \"bbox\": [103, 69, 165, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [209, 69, 235, 77]}, {\"cell\": \"2 (moderately differentiated)\", \"bbox\": [103, 78, 185, 87]}, {\"cell\": \"57 (54.8)\", \"bbox\": [209, 78, 235, 87]}, {\"cell\": \"3 (poorly differentiated)\", \"bbox\": [103, 88, 172, 97]}, {\"cell\": \"32 (30.8)\", \"bbox\": [209, 88, 235, 97]}, {\"cell\": \"T stage (N = 102)\", \"bbox\": [1, 98, 50, 107]}, {\"cell\": \"T0\", \"bbox\": [103, 98, 111, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [209, 98, 235, 107]}, {\"cell\": \"T1\", \"bbox\": [103, 108, 111, 116]}, {\"cell\": \"33 (32.4)\", \"bbox\": [209, 108, 235, 116]}, {\"cell\": \"T2\", \"bbox\": [103, 118, 111, 126]}, {\"cell\": \"27 (26.5)\", \"bbox\": [209, 118, 235, 126]}, {\"cell\": \"T3\", \"bbox\": [103, 128, 111, 136]}, {\"cell\": \"10 (9.8)\", \"bbox\": [209, 128, 231, 136]}, {\"cell\": \"N stage (N = 101)\", \"bbox\": [1, 138, 51, 146]}, {\"cell\": \"N0\", \"bbox\": [103, 138, 112, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [209, 138, 235, 146]}, {\"cell\": \"N1\", \"bbox\": [103, 148, 112, 156]}, {\"cell\": \"32 (31.7)\", \"bbox\": [209, 148, 235, 156]}, {\"cell\": \"N2\", \"bbox\": [103, 158, 112, 166]}, {\"cell\": \"4 (4.0)\", \"bbox\": [209, 158, 228, 166]}, {\"cell\": \"N3\", \"bbox\": [103, 168, 112, 176]}, {\"cell\": \"3 (3.0)\", \"bbox\": [209, 168, 228, 176]}, {\"cell\": \"Overall stage (N = 104)\", \"bbox\": [1, 178, 67, 186]}, {\"cell\": \"0\", \"bbox\": [103, 178, 108, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [209, 178, 235, 186]}, {\"cell\": \"IA, IB, IIA\", \"bbox\": [103, 188, 130, 196]}, {\"cell\": \"42 (40.4)\", \"bbox\": [209, 188, 235, 196]}, {\"cell\": \"IIB\", \"bbox\": [103, 198, 111, 206]}, {\"cell\": \"14 (13.5)\", \"bbox\": [209, 198, 235, 206]}, {\"cell\": \"IIIA, IIIB, IIIC\", \"bbox\": [103, 208, 137, 216]}, {\"cell\": \"13 (12.5)\", \"bbox\": [209, 208, 235, 216]}, {\"cell\": \"IV\", \"bbox\": [103, 218, 110, 226]}, {\"cell\": \"2 (1.9)\", \"bbox\": [209, 218, 228, 226]}, {\"cell\": \"Breast cancer subtype (N = 107)\", \"bbox\": [1, 228, 92, 236]}, {\"cell\": \"HR + /HER2−\", \"bbox\": [103, 228, 142, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [209, 228, 235, 236]}, {\"cell\": \"HR + /HER2+\", \"bbox\": [103, 238, 142, 246]}, {\"cell\": \"15 (14.0)\", \"bbox\": [209, 238, 235, 246]}, {\"cell\": \"HR-/HER2+\", \"bbox\": [103, 248, 136, 256]}, {\"cell\": \"15 (14.0)\", \"bbox\": [209, 248, 235, 256]}, {\"cell\": \"HR-/HER2−\", \"bbox\": [103, 258, 136, 266]}, {\"cell\": \"21 (19.6)\", \"bbox\": [209, 258, 235, 266]}, {\"cell\": \"Disease recurrence (N = 114)\", \"bbox\": [1, 268, 83, 276]}, {\"cell\": \"No recurrence\", \"bbox\": [103, 268, 144, 276]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [209, 268, 235, 276]}, {\"cell\": \"Recur\", \"bbox\": [103, 278, 120, 286]}, {\"cell\": \"23 (20.2)\", \"bbox\": [209, 278, 235, 286]}, {\"cell\": \"Never disease free\", \"bbox\": [103, 288, 156, 296]}, {\"cell\": \"10 (8.8)\", \"bbox\": [209, 288, 231, 296]}, {\"cell\": \"Recurrence site (N = 72)\", \"bbox\": [1, 298, 69, 306]}, {\"cell\": \"No recurrence\", \"bbox\": [103, 298, 144, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [209, 298, 235, 306]}, {\"cell\": \"Local recurrence\", \"bbox\": [103, 308, 151, 316]}, {\"cell\": \"1 (1.4)\", \"bbox\": [209, 308, 228, 316]}, {\"cell\": \"Distant recurrence\", \"bbox\": [103, 318, 156, 326]}, {\"cell\": \"10 (14.9)\", \"bbox\": [209, 318, 235, 326]}, {\"cell\": \"Recurrence free in 1 year (N = 85)\", \"bbox\": [1, 328, 97, 336]}, {\"cell\": \"Recurrence free\", \"bbox\": [103, 328, 149, 336]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [209, 328, 235, 336]}, {\"cell\": \"Not Recurrence free\", \"bbox\": [103, 338, 161, 346]}, {\"cell\": \"10 (11.8)\", \"bbox\": [209, 338, 235, 346]}, {\"cell\": \"Recurrence free in 2 years (N = 85)\", \"bbox\": [1, 347, 99, 356]}, {\"cell\": \"Recurrence free\", \"bbox\": [103, 347, 149, 356]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [209, 347, 235, 356]}, {\"cell\": \"Not Recurrence free\", \"bbox\": [103, 357, 161, 366]}, {\"cell\": \"17 (20.0)\", \"bbox\": [209, 357, 235, 366]}, {\"cell\": \"Recurrence free in 3 years (N = 85)\", \"bbox\": [1, 367, 99, 375]}, {\"cell\": \"Recurrence free\", \"bbox\": [103, 367, 149, 375]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [209, 367, 235, 375]}, {\"cell\": \"Not Recurrence free\", \"bbox\": [103, 377, 161, 385]}, {\"cell\": \"18 (21.2)\", \"bbox\": [209, 377, 235, 385]}, {\"cell\": \"Recurrence free in 4 years (N = 85)\", \"bbox\": [1, 387, 99, 395]}, {\"cell\": \"Recurrence free\", \"bbox\": [103, 387, 149, 395]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [209, 387, 235, 395]}, {\"cell\": \"Not Recurrence free\", \"bbox\": [103, 397, 161, 405]}, {\"cell\": \"20 (23.5)\", \"bbox\": [209, 397, 235, 405]}, {\"cell\": \"Recurrence free in 5 years (N = 85)\", \"bbox\": [1, 407, 99, 415]}, {\"cell\": \"Recurrence free\", \"bbox\": [103, 407, 149, 415]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [209, 407, 235, 415]}, {\"cell\": \"Not Recurrence free\", \"bbox\": [103, 417, 161, 425]}, {\"cell\": \"25 (29.4)\", \"bbox\": [209, 417, 235, 425]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC6095872_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
PatientAgeSexDiagnosisSample type
167[EMPTY_CELL]HealthyTransplant
247[EMPTY_CELL]HealthyTransplant
322[EMPTY_CELL]HealthyBiopsy
464[EMPTY_CELL]ILDTransplant
576[EMPTY_CELL]Pulmonary cryptococcosisResection
661[EMPTY_CELL]Pulmonary hypertensionTransplant
741[EMPTY_CELL]AdenocarcinomaResection
829[EMPTY_CELL]HealthyBiopsy
916[EMPTY_CELL]HealthyTransplant
1065[EMPTY_CELL]CancerResection
1127[EMPTY_CELL]AsthmaticBiopsy
1254[EMPTY_CELL]AsthmaticBiopsy
1323[EMPTY_CELL]AsthmaticBiopsy
1458[EMPTY_CELL]AsthmaticBiopsy
1521[EMPTY_CELL]AsthmaticBiopsy
1638[EMPTY_CELL]AsthmaticBiopsy
1761[EMPTY_CELL]AsthmaticBiopsy
1885[EMPTY_CELL]AsthmaticBiopsy
1951[EMPTY_CELL]AsthmaticBiopsy
2063[EMPTY_CELL]AsthmaticBiopsy
2159[EMPTY_CELL]AsthmaticBiopsy
2264[EMPTY_CELL]AsthmaticBiopsy
23NA[EMPTY_CELL]HealthyTransplant
2452[EMPTY_CELL]CancerResection
2522[EMPTY_CELL]HealthyBiopsy
2660[EMPTY_CELL]CancerResection
2727[EMPTY_CELL]AsthmaticBiopsy
2833[EMPTY_CELL]AsthmaticBiopsy
2950[EMPTY_CELL]AsthmaticBiopsy
\", \"cells\": [{\"cell\": \"Patient\", \"bbox\": [4, 5, 30, 14]}, {\"cell\": \"Age\", \"bbox\": [40, 5, 55, 14]}, {\"cell\": \"Sex\", \"bbox\": [65, 5, 79, 14]}, {\"cell\": \"Diagnosis\", \"bbox\": [101, 5, 135, 14]}, {\"cell\": \"Sample type\", \"bbox\": [198, 5, 242, 14]}, {\"cell\": \"1\", \"bbox\": [8, 19, 15, 28]}, {\"cell\": \"67\", \"bbox\": [40, 19, 51, 28]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [65, 19, 83, 28]}, {\"cell\": \"Healthy\", \"bbox\": [101, 19, 128, 28]}, {\"cell\": \"Transplant\", \"bbox\": [198, 19, 235, 28]}, {\"cell\": \"2\", \"bbox\": [8, 33, 15, 42]}, {\"cell\": \"47\", \"bbox\": [40, 33, 51, 42]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [65, 33, 83, 42]}, {\"cell\": \"Healthy\", \"bbox\": [101, 33, 128, 42]}, {\"cell\": \"Transplant\", \"bbox\": [198, 33, 235, 42]}, {\"cell\": \"3\", \"bbox\": [8, 47, 15, 56]}, {\"cell\": \"22\", \"bbox\": [40, 47, 51, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [65, 47, 91, 56]}, {\"cell\": \"Healthy\", \"bbox\": [101, 47, 128, 56]}, {\"cell\": \"Biopsy\", \"bbox\": [198, 47, 222, 56]}, {\"cell\": \"4\", \"bbox\": [8, 61, 15, 69]}, {\"cell\": \"64\", \"bbox\": [40, 61, 51, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [65, 61, 83, 69]}, {\"cell\": \"ILD\", \"bbox\": [101, 61, 114, 69]}, {\"cell\": \"Transplant\", \"bbox\": [198, 61, 235, 69]}, {\"cell\": \"5\", \"bbox\": [8, 74, 15, 83]}, {\"cell\": \"76\", \"bbox\": [40, 74, 51, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [65, 74, 83, 83]}, {\"cell\": \"Pulmonary cryptococcosis\", \"bbox\": [101, 74, 188, 83]}, {\"cell\": \"Resection\", \"bbox\": [198, 74, 232, 83]}, {\"cell\": \"6\", \"bbox\": [8, 88, 15, 97]}, {\"cell\": \"61\", \"bbox\": [40, 88, 51, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [65, 88, 91, 97]}, {\"cell\": \"Pulmonary hypertension\", \"bbox\": [101, 88, 183, 97]}, {\"cell\": \"Transplant\", \"bbox\": [198, 88, 235, 97]}, {\"cell\": \"7\", \"bbox\": [8, 102, 15, 111]}, {\"cell\": \"41\", \"bbox\": [40, 102, 51, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [65, 102, 91, 111]}, {\"cell\": \"Adenocarcinoma\", \"bbox\": [101, 102, 157, 111]}, {\"cell\": \"Resection\", \"bbox\": [198, 102, 232, 111]}, {\"cell\": \"8\", \"bbox\": [8, 116, 15, 125]}, {\"cell\": \"29\", \"bbox\": [40, 116, 51, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [65, 116, 83, 125]}, {\"cell\": \"Healthy\", \"bbox\": [101, 116, 128, 125]}, {\"cell\": \"Biopsy\", \"bbox\": [198, 116, 222, 125]}, {\"cell\": \"9\", \"bbox\": [8, 130, 15, 139]}, {\"cell\": \"16\", \"bbox\": [40, 130, 51, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [65, 130, 83, 139]}, {\"cell\": \"Healthy\", \"bbox\": [101, 130, 128, 139]}, {\"cell\": \"Transplant\", \"bbox\": [198, 130, 235, 139]}, {\"cell\": \"10\", \"bbox\": [4, 144, 15, 152]}, {\"cell\": \"65\", \"bbox\": [40, 144, 51, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [65, 144, 83, 152]}, {\"cell\": \"Cancer\", \"bbox\": [101, 144, 126, 152]}, {\"cell\": \"Resection\", \"bbox\": [198, 144, 232, 152]}, {\"cell\": \"11\", \"bbox\": [4, 158, 15, 166]}, {\"cell\": \"27\", \"bbox\": [40, 158, 51, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [65, 158, 91, 166]}, {\"cell\": \"Asthmatic\", \"bbox\": [101, 158, 135, 166]}, {\"cell\": \"Biopsy\", \"bbox\": [198, 158, 222, 166]}, {\"cell\": \"12\", \"bbox\": [4, 171, 15, 180]}, {\"cell\": \"54\", \"bbox\": [40, 171, 51, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [65, 171, 83, 180]}, {\"cell\": \"Asthmatic\", \"bbox\": [101, 171, 135, 180]}, {\"cell\": \"Biopsy\", \"bbox\": [198, 171, 222, 180]}, {\"cell\": \"13\", \"bbox\": [4, 185, 15, 194]}, {\"cell\": \"23\", \"bbox\": [40, 185, 51, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [65, 185, 83, 194]}, {\"cell\": \"Asthmatic\", \"bbox\": [101, 185, 135, 194]}, {\"cell\": \"Biopsy\", \"bbox\": [198, 185, 222, 194]}, {\"cell\": \"14\", \"bbox\": [4, 199, 15, 208]}, {\"cell\": \"58\", \"bbox\": [40, 199, 51, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [65, 199, 83, 208]}, {\"cell\": \"Asthmatic\", \"bbox\": [101, 199, 135, 208]}, {\"cell\": \"Biopsy\", \"bbox\": [198, 199, 222, 208]}, {\"cell\": \"15\", \"bbox\": [4, 213, 15, 222]}, {\"cell\": \"21\", \"bbox\": [40, 213, 51, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [65, 213, 83, 222]}, {\"cell\": \"Asthmatic\", \"bbox\": [101, 213, 135, 222]}, {\"cell\": \"Biopsy\", \"bbox\": [198, 213, 222, 222]}, {\"cell\": \"16\", \"bbox\": [4, 227, 15, 235]}, {\"cell\": \"38\", \"bbox\": [40, 227, 51, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [65, 227, 83, 235]}, {\"cell\": \"Asthmatic\", \"bbox\": [101, 227, 135, 235]}, {\"cell\": \"Biopsy\", \"bbox\": [198, 227, 222, 235]}, {\"cell\": \"17\", \"bbox\": [4, 241, 15, 249]}, {\"cell\": \"61\", \"bbox\": [40, 241, 51, 249]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [65, 241, 91, 249]}, {\"cell\": \"Asthmatic\", \"bbox\": [101, 241, 135, 249]}, {\"cell\": \"Biopsy\", \"bbox\": [198, 241, 222, 249]}, {\"cell\": \"18\", \"bbox\": [4, 254, 15, 263]}, {\"cell\": \"85\", \"bbox\": [40, 254, 51, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [65, 254, 83, 263]}, {\"cell\": \"Asthmatic\", \"bbox\": [101, 254, 135, 263]}, {\"cell\": \"Biopsy\", \"bbox\": [198, 254, 222, 263]}, {\"cell\": \"19\", \"bbox\": [4, 268, 15, 277]}, {\"cell\": \"51\", \"bbox\": [40, 268, 51, 277]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [65, 268, 83, 277]}, {\"cell\": \"Asthmatic\", \"bbox\": [101, 268, 135, 277]}, {\"cell\": \"Biopsy\", \"bbox\": [198, 268, 222, 277]}, {\"cell\": \"20\", \"bbox\": [4, 282, 15, 291]}, {\"cell\": \"63\", \"bbox\": [40, 282, 51, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [65, 282, 83, 291]}, {\"cell\": \"Asthmatic\", \"bbox\": [101, 282, 135, 291]}, {\"cell\": \"Biopsy\", \"bbox\": [198, 282, 222, 291]}, {\"cell\": \"21\", \"bbox\": [4, 296, 15, 305]}, {\"cell\": \"59\", \"bbox\": [40, 296, 51, 305]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [65, 296, 91, 305]}, {\"cell\": \"Asthmatic\", \"bbox\": [101, 296, 135, 305]}, {\"cell\": \"Biopsy\", \"bbox\": [198, 296, 222, 305]}, {\"cell\": \"22\", \"bbox\": [4, 310, 15, 319]}, {\"cell\": \"64\", \"bbox\": [40, 310, 51, 319]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [65, 310, 83, 319]}, {\"cell\": \"Asthmatic\", \"bbox\": [101, 310, 135, 319]}, {\"cell\": \"Biopsy\", \"bbox\": [198, 310, 222, 319]}, {\"cell\": \"23\", \"bbox\": [4, 324, 15, 332]}, {\"cell\": \"NA\", \"bbox\": [40, 324, 53, 332]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [65, 324, 78, 332]}, {\"cell\": \"Healthy\", \"bbox\": [101, 324, 128, 332]}, {\"cell\": \"Transplant\", \"bbox\": [198, 324, 235, 332]}, {\"cell\": \"24\", \"bbox\": [4, 337, 15, 346]}, {\"cell\": \"52\", \"bbox\": [40, 337, 51, 346]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [65, 337, 83, 346]}, {\"cell\": \"Cancer\", \"bbox\": [101, 337, 126, 346]}, {\"cell\": \"Resection\", \"bbox\": [198, 337, 232, 346]}, {\"cell\": \"25\", \"bbox\": [4, 351, 15, 360]}, {\"cell\": \"22\", \"bbox\": [40, 351, 51, 360]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [65, 351, 83, 360]}, {\"cell\": \"Healthy\", \"bbox\": [101, 351, 128, 360]}, {\"cell\": \"Biopsy\", \"bbox\": [198, 351, 222, 360]}, {\"cell\": \"26\", \"bbox\": [4, 365, 15, 374]}, {\"cell\": \"60\", \"bbox\": [40, 365, 51, 374]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [65, 365, 91, 374]}, {\"cell\": \"Cancer\", \"bbox\": [101, 365, 126, 374]}, {\"cell\": \"Resection\", \"bbox\": [198, 365, 232, 374]}, {\"cell\": \"27\", \"bbox\": [4, 379, 15, 388]}, {\"cell\": \"27\", \"bbox\": [40, 379, 51, 388]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [65, 379, 83, 388]}, {\"cell\": \"Asthmatic\", \"bbox\": [101, 379, 135, 388]}, {\"cell\": \"Biopsy\", \"bbox\": [198, 379, 222, 388]}, {\"cell\": \"28\", \"bbox\": [4, 393, 15, 402]}, {\"cell\": \"33\", \"bbox\": [40, 393, 51, 402]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [65, 393, 83, 402]}, {\"cell\": \"Asthmatic\", \"bbox\": [101, 393, 135, 402]}, {\"cell\": \"Biopsy\", \"bbox\": [198, 393, 222, 402]}, {\"cell\": \"29\", \"bbox\": [4, 407, 15, 416]}, {\"cell\": \"50\", \"bbox\": [40, 407, 51, 416]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [65, 407, 83, 416]}, {\"cell\": \"Asthmatic\", \"bbox\": [101, 407, 135, 416]}, {\"cell\": \"Biopsy\", \"bbox\": [198, 407, 222, 416]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5908101_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
CharacteristicsFirst-lineSecond-lineAll patients(%)
[EMPTY_CELL][EMPTY_CELL]No(%)No(%)[EMPTY_CELL][EMPTY_CELL]
SexMale12(100)20(100)[EMPTY_CELL](100)
[EMPTY_CELL]Female0(0)0(0)[EMPTY_CELL](0.0)
Age, median[EMPTY_CELL]58(45-70)66(54-76)[EMPTY_CELL]
ECOG PS03(25)6(30)[EMPTY_CELL](28.1)
[EMPTY_CELL]19(75)13(65)[EMPTY_CELL](68.8)
[EMPTY_CELL]20(0)1(5)[EMPTY_CELL](3.1)
HistologySquamous12(100)20(100)[EMPTY_CELL](100)
Smoking historyNever0(0)2(10)[EMPTY_CELL](6.3)
[EMPTY_CELL]Ever12(100)18(90)[EMPTY_CELL](93.7)
Prior therapyNone6(50)N/A[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Surgery6(50)4(20)[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Radiation0(0)2(10)[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]ChemotherapyN/A[EMPTY_CELL]20(100)[EMPTY_CELL][EMPTY_CELL]
No.of metastatic sites13(25.0)5(25)[EMPTY_CELL](25.0)
[EMPTY_CELL]23(25.0)10(50)[EMPTY_CELL](40.6)
[EMPTY_CELL]31(8.3)4(20)[EMPTY_CELL](15.6)
Locoregional[EMPTY_CELL]5(41.7)1(5)[EMPTY_CELL](18.8)
Metastatic[EMPTY_CELL]7(58.3)19(95)[EMPTY_CELL](81.3)
Liver[EMPTY_CELL]3(25.0)13(65)[EMPTY_CELL](50.0)
Lung[EMPTY_CELL]7(58.3)19(95)[EMPTY_CELL](81.3)
Bone[EMPTY_CELL]2(16.7)5(25)[EMPTY_CELL](21.9)
\", \"cells\": [{\"cell\": \"Characteristics\", \"bbox\": [61, 4, 113, 13]}, {\"cell\": \"First-line\", \"bbox\": [178, 4, 210, 13]}, {\"cell\": \"Second-line\", \"bbox\": [274, 4, 316, 13]}, {\"cell\": \"All patients\", \"bbox\": [370, 4, 412, 13]}, {\"cell\": \"(%)\", \"bbox\": [441, 4, 454, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No\", \"bbox\": [178, 17, 190, 26]}, {\"cell\": \"(%)\", \"bbox\": [221, 17, 235, 26]}, {\"cell\": \"No\", \"bbox\": [274, 17, 286, 26]}, {\"cell\": \"(%)\", \"bbox\": [317, 17, 331, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Sex\", \"bbox\": [1, 30, 13, 40]}, {\"cell\": \"Male\", \"bbox\": [100, 30, 117, 40]}, {\"cell\": \"12\", \"bbox\": [178, 30, 188, 40]}, {\"cell\": \"(100)\", \"bbox\": [221, 30, 239, 40]}, {\"cell\": \"20\", \"bbox\": [274, 30, 284, 40]}, {\"cell\": \"(100)\", \"bbox\": [317, 30, 335, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [370, 30, 380, 40]}, {\"cell\": \"(100)\", \"bbox\": [441, 30, 458, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Female\", \"bbox\": [100, 42, 125, 52]}, {\"cell\": \"0\", \"bbox\": [178, 42, 184, 52]}, {\"cell\": \"(0)\", \"bbox\": [221, 42, 231, 52]}, {\"cell\": \"0\", \"bbox\": [274, 42, 280, 52]}, {\"cell\": \"(0)\", \"bbox\": [317, 42, 327, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [370, 42, 376, 52]}, {\"cell\": \"(0.0)\", \"bbox\": [441, 42, 456, 52]}, {\"cell\": \"Age, median\", \"bbox\": [1, 54, 43, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"58\", \"bbox\": [178, 54, 188, 64]}, {\"cell\": \"(45-70)\", \"bbox\": [221, 54, 245, 64]}, {\"cell\": \"66\", \"bbox\": [274, 54, 284, 64]}, {\"cell\": \"(54-76)\", \"bbox\": [317, 54, 341, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [370, 54, 409, 64]}, {\"cell\": \"ECOG PS\", \"bbox\": [1, 66, 31, 76]}, {\"cell\": \"0\", \"bbox\": [100, 66, 106, 76]}, {\"cell\": \"3\", \"bbox\": [178, 66, 184, 76]}, {\"cell\": \"(25)\", \"bbox\": [221, 66, 235, 76]}, {\"cell\": \"6\", \"bbox\": [274, 66, 280, 76]}, {\"cell\": \"(30)\", \"bbox\": [317, 66, 331, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [370, 66, 376, 76]}, {\"cell\": \"(28.1)\", \"bbox\": [441, 66, 459, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [100, 78, 106, 88]}, {\"cell\": \"9\", \"bbox\": [178, 78, 184, 88]}, {\"cell\": \"(75)\", \"bbox\": [221, 78, 235, 88]}, {\"cell\": \"13\", \"bbox\": [274, 78, 284, 88]}, {\"cell\": \"(65)\", \"bbox\": [317, 78, 331, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [370, 78, 380, 88]}, {\"cell\": \"(68.8)\", \"bbox\": [441, 78, 459, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2\", \"bbox\": [100, 90, 106, 100]}, {\"cell\": \"0\", \"bbox\": [178, 90, 184, 100]}, {\"cell\": \"(0)\", \"bbox\": [221, 90, 231, 100]}, {\"cell\": \"1\", \"bbox\": [274, 90, 280, 100]}, {\"cell\": \"(5)\", \"bbox\": [317, 90, 327, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [370, 90, 376, 100]}, {\"cell\": \"(3.1)\", \"bbox\": [441, 90, 456, 100]}, {\"cell\": \"Histology\", \"bbox\": [1, 102, 32, 112]}, {\"cell\": \"Squamous\", \"bbox\": [100, 102, 135, 112]}, {\"cell\": \"12\", \"bbox\": [178, 102, 188, 112]}, {\"cell\": \"(100)\", \"bbox\": [221, 102, 239, 112]}, {\"cell\": \"20\", \"bbox\": [274, 102, 284, 112]}, {\"cell\": \"(100)\", \"bbox\": [317, 102, 335, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [370, 102, 380, 112]}, {\"cell\": \"(100)\", \"bbox\": [441, 102, 458, 112]}, {\"cell\": \"Smoking history\", \"bbox\": [1, 114, 54, 124]}, {\"cell\": \"Never\", \"bbox\": [100, 114, 120, 124]}, {\"cell\": \"0\", \"bbox\": [178, 114, 184, 124]}, {\"cell\": \"(0)\", \"bbox\": [221, 114, 231, 124]}, {\"cell\": \"2\", \"bbox\": [274, 114, 280, 124]}, {\"cell\": \"(10)\", \"bbox\": [317, 114, 331, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [370, 114, 376, 124]}, {\"cell\": \"(6.3)\", \"bbox\": [441, 114, 456, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ever\", \"bbox\": [100, 126, 115, 136]}, {\"cell\": \"12\", \"bbox\": [178, 126, 188, 136]}, {\"cell\": \"(100)\", \"bbox\": [221, 126, 239, 136]}, {\"cell\": \"18\", \"bbox\": [274, 126, 284, 136]}, {\"cell\": \"(90)\", \"bbox\": [317, 126, 331, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [370, 126, 380, 136]}, {\"cell\": \"(93.7)\", \"bbox\": [441, 126, 459, 136]}, {\"cell\": \"Prior therapy\", \"bbox\": [1, 138, 44, 147]}, {\"cell\": \"None\", \"bbox\": [100, 138, 119, 147]}, {\"cell\": \"6\", \"bbox\": [178, 138, 184, 147]}, {\"cell\": \"(50)\", \"bbox\": [221, 138, 235, 147]}, {\"cell\": \"N/A\", \"bbox\": [274, 138, 289, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [370, 138, 376, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Surgery\", \"bbox\": [100, 150, 126, 159]}, {\"cell\": \"6\", \"bbox\": [178, 150, 184, 159]}, {\"cell\": \"(50)\", \"bbox\": [221, 150, 235, 159]}, {\"cell\": \"4\", \"bbox\": [274, 150, 280, 159]}, {\"cell\": \"(20)\", \"bbox\": [317, 150, 331, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [370, 150, 380, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Radiation\", \"bbox\": [100, 162, 132, 171]}, {\"cell\": \"0\", \"bbox\": [178, 162, 184, 171]}, {\"cell\": \"(0)\", \"bbox\": [221, 162, 231, 171]}, {\"cell\": \"2\", \"bbox\": [274, 162, 280, 171]}, {\"cell\": \"(10)\", \"bbox\": [317, 162, 331, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [370, 162, 376, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Chemotherapy\", \"bbox\": [100, 174, 149, 183]}, {\"cell\": \"N/A\", \"bbox\": [178, 174, 193, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"20\", \"bbox\": [274, 174, 284, 183]}, {\"cell\": \"(100)\", \"bbox\": [317, 174, 335, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [370, 174, 380, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No.of metastatic sites\", \"bbox\": [1, 186, 71, 195]}, {\"cell\": \"1\", \"bbox\": [100, 186, 106, 195]}, {\"cell\": \"3\", \"bbox\": [178, 186, 184, 195]}, {\"cell\": \"(25.0)\", \"bbox\": [221, 186, 240, 195]}, {\"cell\": \"5\", \"bbox\": [274, 186, 280, 195]}, {\"cell\": \"(25)\", \"bbox\": [317, 186, 331, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [370, 186, 376, 195]}, {\"cell\": \"(25.0)\", \"bbox\": [441, 186, 460, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2\", \"bbox\": [100, 198, 106, 207]}, {\"cell\": \"3\", \"bbox\": [178, 198, 184, 207]}, {\"cell\": \"(25.0)\", \"bbox\": [221, 198, 240, 207]}, {\"cell\": \"10\", \"bbox\": [274, 198, 284, 207]}, {\"cell\": \"(50)\", \"bbox\": [317, 198, 331, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [370, 198, 380, 207]}, {\"cell\": \"(40.6)\", \"bbox\": [441, 198, 460, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3\", \"bbox\": [100, 210, 106, 219]}, {\"cell\": \"1\", \"bbox\": [178, 210, 184, 219]}, {\"cell\": \"(8.3)\", \"bbox\": [221, 210, 237, 219]}, {\"cell\": \"4\", \"bbox\": [274, 210, 280, 219]}, {\"cell\": \"(20)\", \"bbox\": [317, 210, 331, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [370, 210, 376, 219]}, {\"cell\": \"(15.6)\", \"bbox\": [441, 210, 460, 219]}, {\"cell\": \"Locoregional\", \"bbox\": [1, 222, 44, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"5\", \"bbox\": [178, 222, 184, 231]}, {\"cell\": \"(41.7)\", \"bbox\": [221, 222, 240, 231]}, {\"cell\": \"1\", \"bbox\": [274, 222, 280, 231]}, {\"cell\": \"(5)\", \"bbox\": [317, 222, 327, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [370, 222, 376, 231]}, {\"cell\": \"(18.8)\", \"bbox\": [441, 222, 460, 231]}, {\"cell\": \"Metastatic\", \"bbox\": [1, 234, 35, 243]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"7\", \"bbox\": [178, 234, 184, 243]}, {\"cell\": \"(58.3)\", \"bbox\": [221, 234, 240, 243]}, {\"cell\": \"19\", \"bbox\": [274, 234, 284, 243]}, {\"cell\": \"(95)\", \"bbox\": [317, 234, 331, 243]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [370, 234, 380, 243]}, {\"cell\": \"(81.3)\", \"bbox\": [441, 234, 460, 243]}, {\"cell\": \"Liver\", \"bbox\": [1, 246, 17, 255]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3\", \"bbox\": [178, 246, 184, 255]}, {\"cell\": \"(25.0)\", \"bbox\": [221, 246, 240, 255]}, {\"cell\": \"13\", \"bbox\": [274, 246, 284, 255]}, {\"cell\": \"(65)\", \"bbox\": [317, 246, 331, 255]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [370, 246, 380, 255]}, {\"cell\": \"(50.0)\", \"bbox\": [441, 246, 460, 255]}, {\"cell\": \"Lung\", \"bbox\": [1, 258, 19, 267]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"7\", \"bbox\": [178, 258, 184, 267]}, {\"cell\": \"(58.3)\", \"bbox\": [221, 258, 240, 267]}, {\"cell\": \"19\", \"bbox\": [274, 258, 284, 267]}, {\"cell\": \"(95)\", \"bbox\": [317, 258, 331, 267]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [370, 258, 380, 267]}, {\"cell\": \"(81.3)\", \"bbox\": [441, 258, 460, 267]}, {\"cell\": \"Bone\", \"bbox\": [1, 270, 19, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2\", \"bbox\": [178, 270, 184, 279]}, {\"cell\": \"(16.7)\", \"bbox\": [221, 270, 240, 279]}, {\"cell\": \"5\", \"bbox\": [274, 270, 280, 279]}, {\"cell\": \"(25)\", \"bbox\": [317, 270, 331, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [370, 270, 376, 279]}, {\"cell\": \"(21.9)\", \"bbox\": [441, 270, 460, 279]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3176247_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
AntecedentsNumber (% on 293)Paraclinic examsNumber (% on 293)
Alcoholism[EMPTY_CELL]TSH7.5
Alzheimer's disease in family[EMPTY_CELL]Hemoglobinemia22.9
Illness story[EMPTY_CELL]Natremia13.3
Evolution[EMPTY_CELL]Calcaemia + protidemia2.0
Clinical exam[EMPTY_CELL]Glycaemia8.2
Vigilance[EMPTY_CELL]Brain imaging24.9
Mnestic trouble[EMPTY_CELL]Syphilis0.3
Depression[EMPTY_CELL]HIV0.3
Neurological exam[EMPTY_CELL]B122.4
Scores and tests[EMPTY_CELL]Foliates2.4
IADL[EMPTY_CELL]Hepatic Function (INR)6.1
MMS[EMPTY_CELL]Lumbar Puncture0.3
Simple cognitive test[EMPTY_CELL]EEG4.1
Complex cognitive test[EMPTY_CELL]Advice[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]Specialized advice42.7
\", \"cells\": [{\"cell\": \"Antecedents\", \"bbox\": [2, 9, 48, 19]}, {\"cell\": \"Number (% on 293)\", \"bbox\": [78, 4, 120, 25]}, {\"cell\": \"Paraclinic exams\", \"bbox\": [123, 9, 185, 19]}, {\"cell\": \"Number (% on 293)\", \"bbox\": [197, 4, 240, 25]}, {\"cell\": \"Alcoholism\", \"bbox\": [2, 28, 45, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 28, 106, 38]}, {\"cell\": \"TSH\", \"bbox\": [123, 28, 142, 38]}, {\"cell\": \"7.5\", \"bbox\": [212, 28, 225, 38]}, {\"cell\": \"Alzheimer's disease in family\", \"bbox\": [2, 40, 73, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 45, 106, 56]}, {\"cell\": \"Hemoglobinemia\", \"bbox\": [123, 45, 188, 56]}, {\"cell\": \"22.9\", \"bbox\": [210, 45, 227, 56]}, {\"cell\": \"Illness story\", \"bbox\": [2, 63, 45, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Natremia\", \"bbox\": [123, 63, 159, 74]}, {\"cell\": \"13.3\", \"bbox\": [210, 63, 227, 74]}, {\"cell\": \"Evolution\", \"bbox\": [2, 81, 40, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 81, 106, 92]}, {\"cell\": \"Calcaemia + protidemia\", \"bbox\": [123, 76, 170, 97]}, {\"cell\": \"2.0\", \"bbox\": [212, 81, 225, 92]}, {\"cell\": \"Clinical exam\", \"bbox\": [2, 99, 53, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Glycaemia\", \"bbox\": [123, 99, 163, 110]}, {\"cell\": \"8.2\", \"bbox\": [212, 99, 225, 110]}, {\"cell\": \"Vigilance\", \"bbox\": [2, 112, 38, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 112, 108, 123]}, {\"cell\": \"Brain imaging\", \"bbox\": [123, 112, 176, 123]}, {\"cell\": \"24.9\", \"bbox\": [210, 112, 227, 123]}, {\"cell\": \"Mnestic trouble\", \"bbox\": [2, 125, 61, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 125, 106, 136]}, {\"cell\": \"Syphilis\", \"bbox\": [123, 125, 153, 136]}, {\"cell\": \"0.3\", \"bbox\": [212, 125, 225, 136]}, {\"cell\": \"Depression\", \"bbox\": [2, 138, 45, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 138, 108, 149]}, {\"cell\": \"HIV\", \"bbox\": [123, 138, 141, 149]}, {\"cell\": \"0.3\", \"bbox\": [212, 138, 225, 149]}, {\"cell\": \"Neurological exam\", \"bbox\": [2, 151, 72, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 151, 108, 162]}, {\"cell\": \"B12\", \"bbox\": [123, 151, 139, 162]}, {\"cell\": \"2.4\", \"bbox\": [212, 151, 225, 162]}, {\"cell\": \"Scores and tests\", \"bbox\": [2, 165, 57, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Foliates\", \"bbox\": [123, 165, 152, 175]}, {\"cell\": \"2.4\", \"bbox\": [212, 165, 225, 175]}, {\"cell\": \"IADL\", \"bbox\": [2, 182, 25, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 182, 106, 193]}, {\"cell\": \"Hepatic Function (INR)\", \"bbox\": [123, 177, 188, 198]}, {\"cell\": \"6.1\", \"bbox\": [212, 182, 225, 193]}, {\"cell\": \"MMS\", \"bbox\": [2, 200, 25, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 200, 108, 211]}, {\"cell\": \"Lumbar Puncture\", \"bbox\": [123, 200, 189, 211]}, {\"cell\": \"0.3\", \"bbox\": [212, 200, 225, 211]}, {\"cell\": \"Simple cognitive test\", \"bbox\": [2, 213, 78, 224]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 213, 106, 224]}, {\"cell\": \"EEG\", \"bbox\": [123, 213, 141, 224]}, {\"cell\": \"4.1\", \"bbox\": [212, 213, 225, 224]}, {\"cell\": \"Complex cognitive test\", \"bbox\": [2, 226, 72, 247]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 231, 106, 242]}, {\"cell\": \"Advice\", \"bbox\": [123, 231, 148, 242]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Specialized advice\", \"bbox\": [123, 249, 189, 260]}, {\"cell\": \"42.7\", \"bbox\": [210, 249, 227, 260]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3275935_002_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Outcome measurePrePost
Experimental Group (n = 20)Control group (n = 19)Test StatisticsExperimental Group (n = 20)Control group (n = 19)95% CI (Difference between the groups postintervention)FP value
BBS (max. score 56) (mean ± SD)46.90 ± 6.8443.53 ± 8.67t: P = 0.184[EMPTY_CELL]46.05 ± 8.350.631–9.245.390.026*
FRT (in inches) (mean ± SD)8.02 ± 2.537.84 ± 3.13t: P = 0.842[EMPTY_CELL]8.05 ± 3.140.932–2.580.9080.347
BI (mean ± SD)79.00 ± 11.9876.58 ± 13.75t: P = 0.561[EMPTY_CELL]78.74 ± 15.509.79–5.114.140.049*
\", \"cells\": [{\"cell\": \"Outcome measure\", \"bbox\": [2, 17, 38, 38]}, {\"cell\": \"Pre\", \"bbox\": [144, 4, 158, 15]}, {\"cell\": \"Post\", \"bbox\": [359, 4, 376, 15]}, {\"cell\": \"Experimental Group (n = 20)\", \"bbox\": [69, 17, 120, 50]}, {\"cell\": \"Control group (n = 19)\", \"bbox\": [125, 22, 178, 45]}, {\"cell\": \"Test Statistics\", \"bbox\": [182, 28, 232, 38]}, {\"cell\": \"Experimental Group (n = 20)\", \"bbox\": [237, 17, 287, 50]}, {\"cell\": \"Control group (n = 19)\", \"bbox\": [292, 22, 345, 45]}, {\"cell\": \"95% CI (Difference between the groups postintervention)\", \"bbox\": [350, 17, 421, 49]}, {\"cell\": \"F\", \"bbox\": [440, 24, 447, 40]}, {\"cell\": \"P value\", \"bbox\": [468, 24, 496, 40]}, {\"cell\": \"BBS (max. score 56) (mean ± SD)\", \"bbox\": [2, 51, 64, 74]}, {\"cell\": \"46.90 ± 6.84\", \"bbox\": [71, 53, 118, 68]}, {\"cell\": \"43.53 ± 8.67\", \"bbox\": [129, 53, 174, 68]}, {\"cell\": \"t: P = 0.184\", \"bbox\": [185, 53, 229, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [240, 53, 284, 68]}, {\"cell\": \"46.05 ± 8.35\", \"bbox\": [296, 53, 341, 68]}, {\"cell\": \"0.631–9.24\", \"bbox\": [366, 56, 405, 67]}, {\"cell\": \"5.39\", \"bbox\": [435, 56, 452, 67]}, {\"cell\": \"0.026*\", \"bbox\": [469, 52, 494, 67]}, {\"cell\": \"FRT (in inches) (mean ± SD)\", \"bbox\": [2, 74, 61, 96]}, {\"cell\": \"8.02 ± 2.53\", \"bbox\": [74, 76, 115, 91]}, {\"cell\": \"7.84 ± 3.13\", \"bbox\": [132, 76, 171, 91]}, {\"cell\": \"t: P = 0.842\", \"bbox\": [185, 76, 229, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [243, 76, 282, 91]}, {\"cell\": \"8.05 ± 3.14\", \"bbox\": [299, 76, 339, 91]}, {\"cell\": \"0.932–2.58\", \"bbox\": [366, 79, 406, 90]}, {\"cell\": \"0.908\", \"bbox\": [432, 79, 454, 90]}, {\"cell\": \"0.347\", \"bbox\": [472, 79, 493, 90]}, {\"cell\": \"BI (mean ± SD)\", \"bbox\": [2, 97, 51, 119]}, {\"cell\": \"79.00 ± 11.98\", \"bbox\": [71, 99, 118, 114]}, {\"cell\": \"76.58 ± 13.75\", \"bbox\": [128, 99, 175, 114]}, {\"cell\": \"t: P = 0.561\", \"bbox\": [185, 99, 229, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [240, 99, 284, 114]}, {\"cell\": \"78.74 ± 15.50\", \"bbox\": [295, 99, 343, 114]}, {\"cell\": \"9.79–5.11\", \"bbox\": [369, 102, 402, 113]}, {\"cell\": \"4.14\", \"bbox\": [435, 102, 451, 113]}, {\"cell\": \"0.049*\", \"bbox\": [469, 98, 495, 113]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4251094_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Characteristic2004 n = 300 [1]HTA 2004 n = 23HTA 2014 n = 30Cochrane 2014 n = 45 [1]2014 n = 300 [1]
Screening
By at least two authors[EMPTY_CELL]14 (61%)22 (73%)44 (98%)200 (67%)
By one author, with a sample screened by a second[EMPTY_CELL]2 (9%)3 (10%)1 (2%)7 (2%)
By one author only[EMPTY_CELL]2 (9%)1 (3%)0 (0%)6 (2%)
Not reported / Unclear[EMPTY_CELL]5 (22%)4 (13%)0 (0%)87 (29%)
Empty review (no included / eligible studies)[EMPTY_CELL]0/23 (0%)2/30 (7%)3/45 (7%)4/300 (1%)
Extraction[EMPTY_CELL]n = 23n = 28n = 42n = 296
By at least two authors[EMPTY_CELL]4 (17%)5 (18%)41 (98%)163 (55%)
By one author, with data verified by a second[EMPTY_CELL]14 (61%)19 (68%)0 (0%)29 (10%)
By one author only[EMPTY_CELL]1 (4%)2 (7%)0 (0%)7 (2%)
Not reported / Unclear[EMPTY_CELL]4 (17%)2 (7%)1 (2%)97 (33%)
Quality assessment[EMPTY_CELL]23 (100%)28 (100%)42 (100%)206 (70%)
By at least two authors[EMPTY_CELL]5 (22%)10 (36%)37 (88%)121/206 (59%)
By one author, with data verified by a second[EMPTY_CELL]11 (48%)12 (43%)0 (0%)6/206 (3%)
By one author only[EMPTY_CELL]1 (4%)0 (0%)0 (0%)3/206 (1%)
Not reported[EMPTY_CELL]6 (26%)6 (21%)5 (12%)76/206 (37%)
Risk of bias / quality assessment tool
Cochrane (or modification)[EMPTY_CELL]2 (9%)12 (43%)37 (88%)77 (37%)
Jadad[EMPTY_CELL]4 (17%)0 (0%)0(0%)33 (11%)
Newcastle-Ottowa[EMPTY_CELL]00 (0%)1 (2%)17 (8%)
QUADAS, QUADAS-2[EMPTY_CELL]1 (4%)5 (18%)0 (0%)8 (4%)
Own[EMPTY_CELL]2 (9%)3 (11%)2 (5%)38 (18%)
Other[EMPTY_CELL]14 (61%)a9 (32%)a3 (7%)53 (26%)
Not reported[EMPTY_CELL]1 (4%)1 (4%)0 (0%)6 (3%)
Selective reportingb[EMPTY_CELL]010/28 (36%)36/42 (86%)70 (24%)
\", \"cells\": [{\"cell\": \"Characteristic\", \"bbox\": [1, 4, 45, 13]}, {\"cell\": \"2004 n = 300 [1]\", \"bbox\": [121, 4, 174, 13]}, {\"cell\": \"HTA 2004 n = 23\", \"bbox\": [199, 4, 254, 13]}, {\"cell\": \"HTA 2014 n = 30\", \"bbox\": [278, 4, 333, 13]}, {\"cell\": \"Cochrane 2014 n = 45 [1]\", \"bbox\": [357, 4, 407, 22]}, {\"cell\": \"2014 n = 300 [1]\", \"bbox\": [431, 4, 484, 13]}, {\"cell\": \"Screening\", \"bbox\": [1, 26, 34, 36]}, {\"cell\": \"By at least two authors\", \"bbox\": [1, 40, 76, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 40, 132, 50]}, {\"cell\": \"14 (61%)\", \"bbox\": [199, 40, 228, 50]}, {\"cell\": \"22 (73%)\", \"bbox\": [278, 40, 307, 50]}, {\"cell\": \"44 (98%)\", \"bbox\": [357, 40, 386, 50]}, {\"cell\": \"200 (67%)\", \"bbox\": [431, 40, 464, 50]}, {\"cell\": \"By one author, with a sample screened by a second\", \"bbox\": [1, 54, 97, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 54, 132, 64]}, {\"cell\": \"2 (9%)\", \"bbox\": [199, 54, 221, 64]}, {\"cell\": \"3 (10%)\", \"bbox\": [278, 54, 304, 64]}, {\"cell\": \"1 (2%)\", \"bbox\": [357, 54, 379, 64]}, {\"cell\": \"7 (2%)\", \"bbox\": [431, 54, 453, 64]}, {\"cell\": \"By one author only\", \"bbox\": [1, 77, 64, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 77, 132, 87]}, {\"cell\": \"2 (9%)\", \"bbox\": [199, 77, 221, 87]}, {\"cell\": \"1 (3%)\", \"bbox\": [278, 77, 300, 87]}, {\"cell\": \"0 (0%)\", \"bbox\": [357, 77, 379, 87]}, {\"cell\": \"6 (2%)\", \"bbox\": [431, 77, 453, 87]}, {\"cell\": \"Not reported / Unclear\", \"bbox\": [1, 91, 76, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 91, 132, 101]}, {\"cell\": \"5 (22%)\", \"bbox\": [199, 91, 224, 101]}, {\"cell\": \"4 (13%)\", \"bbox\": [278, 91, 304, 101]}, {\"cell\": \"0 (0%)\", \"bbox\": [357, 91, 379, 101]}, {\"cell\": \"87 (29%)\", \"bbox\": [431, 91, 461, 101]}, {\"cell\": \"Empty review (no included / eligible studies)\", \"bbox\": [1, 105, 94, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 105, 132, 115]}, {\"cell\": \"0/23 (0%)\", \"bbox\": [199, 105, 231, 115]}, {\"cell\": \"2/30 (7%)\", \"bbox\": [278, 105, 310, 115]}, {\"cell\": \"3/45 (7%)\", \"bbox\": [357, 105, 389, 115]}, {\"cell\": \"4/300 (1%)\", \"bbox\": [431, 105, 467, 115]}, {\"cell\": \"Extraction\", \"bbox\": [1, 128, 34, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 128, 132, 138]}, {\"cell\": \"n = 23\", \"bbox\": [199, 128, 220, 138]}, {\"cell\": \"n = 28\", \"bbox\": [278, 128, 299, 138]}, {\"cell\": \"n = 42\", \"bbox\": [357, 128, 378, 138]}, {\"cell\": \"n = 296\", \"bbox\": [431, 128, 456, 138]}, {\"cell\": \"By at least two authors\", \"bbox\": [1, 142, 76, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 142, 132, 152]}, {\"cell\": \"4 (17%)\", \"bbox\": [199, 142, 224, 152]}, {\"cell\": \"5 (18%)\", \"bbox\": [278, 142, 304, 152]}, {\"cell\": \"41 (98%)\", \"bbox\": [357, 142, 386, 152]}, {\"cell\": \"163 (55%)\", \"bbox\": [431, 142, 464, 152]}, {\"cell\": \"By one author, with data verified by a second\", \"bbox\": [1, 156, 82, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 156, 132, 166]}, {\"cell\": \"14 (61%)\", \"bbox\": [199, 156, 228, 166]}, {\"cell\": \"19 (68%)\", \"bbox\": [278, 156, 307, 166]}, {\"cell\": \"0 (0%)\", \"bbox\": [357, 156, 379, 166]}, {\"cell\": \"29 (10%)\", \"bbox\": [431, 156, 461, 166]}, {\"cell\": \"By one author only\", \"bbox\": [1, 179, 64, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 179, 132, 189]}, {\"cell\": \"1 (4%)\", \"bbox\": [199, 179, 221, 189]}, {\"cell\": \"2 (7%)\", \"bbox\": [278, 179, 300, 189]}, {\"cell\": \"0 (0%)\", \"bbox\": [357, 179, 379, 189]}, {\"cell\": \"7 (2%)\", \"bbox\": [431, 179, 453, 189]}, {\"cell\": \"Not reported / Unclear\", \"bbox\": [1, 193, 76, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 193, 132, 203]}, {\"cell\": \"4 (17%)\", \"bbox\": [199, 193, 224, 203]}, {\"cell\": \"2 (7%)\", \"bbox\": [278, 193, 300, 203]}, {\"cell\": \"1 (2%)\", \"bbox\": [357, 193, 379, 203]}, {\"cell\": \"97 (33%)\", \"bbox\": [431, 193, 461, 203]}, {\"cell\": \"Quality assessment\", \"bbox\": [1, 207, 63, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 207, 145, 217]}, {\"cell\": \"23 (100%)\", \"bbox\": [199, 207, 232, 217]}, {\"cell\": \"28 (100%)\", \"bbox\": [278, 207, 311, 217]}, {\"cell\": \"42 (100%)\", \"bbox\": [357, 207, 390, 217]}, {\"cell\": \"206 (70%)\", \"bbox\": [431, 207, 464, 217]}, {\"cell\": \"By at least two authors\", \"bbox\": [1, 221, 76, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 221, 132, 231]}, {\"cell\": \"5 (22%)\", \"bbox\": [199, 221, 224, 231]}, {\"cell\": \"10 (36%)\", \"bbox\": [278, 221, 307, 231]}, {\"cell\": \"37 (88%)\", \"bbox\": [357, 221, 386, 231]}, {\"cell\": \"121/206 (59%)\", \"bbox\": [431, 221, 479, 231]}, {\"cell\": \"By one author, with data verified by a second\", \"bbox\": [1, 235, 82, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 235, 132, 245]}, {\"cell\": \"11 (48%)\", \"bbox\": [199, 235, 228, 245]}, {\"cell\": \"12 (43%)\", \"bbox\": [278, 235, 307, 245]}, {\"cell\": \"0 (0%)\", \"bbox\": [357, 235, 379, 245]}, {\"cell\": \"6/206 (3%)\", \"bbox\": [431, 235, 467, 245]}, {\"cell\": \"By one author only\", \"bbox\": [1, 258, 64, 268]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 258, 132, 268]}, {\"cell\": \"1 (4%)\", \"bbox\": [199, 258, 221, 268]}, {\"cell\": \"0 (0%)\", \"bbox\": [278, 258, 300, 268]}, {\"cell\": \"0 (0%)\", \"bbox\": [357, 258, 379, 268]}, {\"cell\": \"3/206 (1%)\", \"bbox\": [431, 258, 467, 268]}, {\"cell\": \"Not reported\", \"bbox\": [1, 272, 44, 282]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 272, 132, 282]}, {\"cell\": \"6 (26%)\", \"bbox\": [199, 272, 224, 282]}, {\"cell\": \"6 (21%)\", \"bbox\": [278, 272, 304, 282]}, {\"cell\": \"5 (12%)\", \"bbox\": [357, 272, 383, 282]}, {\"cell\": \"76/206 (37%)\", \"bbox\": [431, 272, 475, 282]}, {\"cell\": \"Risk of bias / quality assessment tool\", \"bbox\": [1, 286, 67, 305]}, {\"cell\": \"Cochrane (or modification)\", \"bbox\": [1, 309, 89, 319]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 309, 132, 319]}, {\"cell\": \"2 (9%)\", \"bbox\": [199, 309, 221, 319]}, {\"cell\": \"12 (43%)\", \"bbox\": [278, 309, 307, 319]}, {\"cell\": \"37 (88%)\", \"bbox\": [357, 309, 386, 319]}, {\"cell\": \"77 (37%)\", \"bbox\": [431, 309, 461, 319]}, {\"cell\": \"Jadad\", \"bbox\": [1, 323, 21, 333]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 323, 132, 333]}, {\"cell\": \"4 (17%)\", \"bbox\": [199, 323, 224, 333]}, {\"cell\": \"0 (0%)\", \"bbox\": [278, 323, 300, 333]}, {\"cell\": \"0(0%)\", \"bbox\": [357, 323, 376, 333]}, {\"cell\": \"33 (11%)\", \"bbox\": [431, 323, 461, 333]}, {\"cell\": \"Newcastle-Ottowa\", \"bbox\": [1, 337, 61, 347]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 337, 132, 347]}, {\"cell\": \"0\", \"bbox\": [199, 337, 204, 347]}, {\"cell\": \"0 (0%)\", \"bbox\": [278, 337, 300, 347]}, {\"cell\": \"1 (2%)\", \"bbox\": [357, 337, 379, 347]}, {\"cell\": \"17 (8%)\", \"bbox\": [431, 337, 457, 347]}, {\"cell\": \"QUADAS, QUADAS-2\", \"bbox\": [1, 351, 69, 361]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 351, 132, 361]}, {\"cell\": \"1 (4%)\", \"bbox\": [199, 351, 221, 361]}, {\"cell\": \"5 (18%)\", \"bbox\": [278, 351, 304, 361]}, {\"cell\": \"0 (0%)\", \"bbox\": [357, 351, 379, 361]}, {\"cell\": \"8 (4%)\", \"bbox\": [431, 351, 453, 361]}, {\"cell\": \"Own\", \"bbox\": [1, 365, 18, 375]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 365, 132, 375]}, {\"cell\": \"2 (9%)\", \"bbox\": [199, 365, 221, 375]}, {\"cell\": \"3 (11%)\", \"bbox\": [278, 365, 304, 375]}, {\"cell\": \"2 (5%)\", \"bbox\": [357, 365, 379, 375]}, {\"cell\": \"38 (18%)\", \"bbox\": [431, 365, 461, 375]}, {\"cell\": \"Other\", \"bbox\": [1, 379, 21, 389]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 379, 132, 389]}, {\"cell\": \"14 (61%)a\", \"bbox\": [199, 377, 231, 389]}, {\"cell\": \"9 (32%)a\", \"bbox\": [278, 377, 306, 389]}, {\"cell\": \"3 (7%)\", \"bbox\": [357, 379, 379, 389]}, {\"cell\": \"53 (26%)\", \"bbox\": [431, 379, 461, 389]}, {\"cell\": \"Not reported\", \"bbox\": [1, 393, 44, 403]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 393, 132, 403]}, {\"cell\": \"1 (4%)\", \"bbox\": [199, 393, 221, 403]}, {\"cell\": \"1 (4%)\", \"bbox\": [278, 393, 300, 403]}, {\"cell\": \"0 (0%)\", \"bbox\": [357, 393, 379, 403]}, {\"cell\": \"6 (3%)\", \"bbox\": [431, 393, 453, 403]}, {\"cell\": \"Selective reportingb\", \"bbox\": [1, 405, 66, 417]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 407, 132, 417]}, {\"cell\": \"0\", \"bbox\": [199, 407, 204, 417]}, {\"cell\": \"10/28 (36%)\", \"bbox\": [278, 407, 318, 417]}, {\"cell\": \"36/42 (86%)\", \"bbox\": [357, 407, 397, 417]}, {\"cell\": \"70 (24%)\", \"bbox\": [431, 407, 461, 417]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5941703_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
ScaleRangeMean (SD)Cut-off scoresaN(%)b
Child Self-Report
Total Summary Score67.23–98.91[EMPTY_CELL]69.714 (9.30)
Psychosocial Health Summary Score63.33–100[EMPTY_CELL]66.033 (7)
Physical Functioning68.75–100[EMPTY_CELL]72.983 (7)
Emotional Functioning45–100[EMPTY_CELL]59.572 (4.65)
Social Functioning60–100[EMPTY_CELL]66.615 (11.63)
School Functioning55–100[EMPTY_CELL]62.994 (9.30)
Parent Proxy-Report
Total Summary Score72.83–100[EMPTY_CELL]65.420 (0)
Psychosocial Health Summary Score65–100[EMPTY_CELL]64.381 (6.67)
Physical Functioning65.62–100[EMPTY_CELL]63.280 (0)
Emotional Functioning50–100[EMPTY_CELL]63.294 (9.30)
Social Functioning65–100[EMPTY_CELL]62.071 (6.67)
School Functioning50–100[EMPTY_CELL]56.751 (6.67)
\", \"cells\": [{\"cell\": \"Scale\", \"bbox\": [1, 4, 19, 13]}, {\"cell\": \"Range\", \"bbox\": [176, 4, 198, 13]}, {\"cell\": \"Mean (SD)\", \"bbox\": [265, 4, 300, 13]}, {\"cell\": \"Cut-off scoresa\", \"bbox\": [357, 2, 405, 13]}, {\"cell\": \"N(%)b\", \"bbox\": [455, 2, 476, 13]}, {\"cell\": \"Child Self-Report\", \"bbox\": [1, 17, 56, 27]}, {\"cell\": \" Total Summary Score\", \"bbox\": [9, 31, 79, 41]}, {\"cell\": \"67.23–98.91\", \"bbox\": [176, 31, 215, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [265, 31, 303, 41]}, {\"cell\": \"69.71\", \"bbox\": [357, 31, 376, 41]}, {\"cell\": \"4 (9.30)\", \"bbox\": [455, 31, 481, 41]}, {\"cell\": \" Psychosocial Health Summary Score\", \"bbox\": [9, 45, 126, 55]}, {\"cell\": \"63.33–100\", \"bbox\": [176, 45, 210, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [265, 45, 303, 55]}, {\"cell\": \"66.03\", \"bbox\": [357, 45, 376, 55]}, {\"cell\": \"3 (7)\", \"bbox\": [455, 45, 472, 55]}, {\"cell\": \"Physical Functioning\", \"bbox\": [16, 59, 84, 69]}, {\"cell\": \"68.75–100\", \"bbox\": [176, 59, 210, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [265, 59, 303, 69]}, {\"cell\": \"72.98\", \"bbox\": [357, 59, 376, 69]}, {\"cell\": \"3 (7)\", \"bbox\": [455, 59, 472, 69]}, {\"cell\": \"Emotional Functioning\", \"bbox\": [16, 73, 91, 83]}, {\"cell\": \"45–100\", \"bbox\": [176, 73, 201, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [265, 73, 307, 83]}, {\"cell\": \"59.57\", \"bbox\": [357, 73, 376, 83]}, {\"cell\": \"2 (4.65)\", \"bbox\": [455, 73, 481, 83]}, {\"cell\": \"Social Functioning\", \"bbox\": [16, 87, 77, 97]}, {\"cell\": \"60–100\", \"bbox\": [176, 87, 201, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [265, 87, 307, 97]}, {\"cell\": \"66.61\", \"bbox\": [357, 87, 376, 97]}, {\"cell\": \"5 (11.63)\", \"bbox\": [455, 87, 484, 97]}, {\"cell\": \"School Functioning\", \"bbox\": [16, 101, 81, 111]}, {\"cell\": \"55–100\", \"bbox\": [176, 101, 201, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [265, 101, 307, 111]}, {\"cell\": \"62.99\", \"bbox\": [357, 101, 376, 111]}, {\"cell\": \"4 (9.30)\", \"bbox\": [455, 101, 481, 111]}, {\"cell\": \"Parent Proxy-Report\", \"bbox\": [0, 115, 66, 125]}, {\"cell\": \" Total Summary Score\", \"bbox\": [8, 129, 79, 139]}, {\"cell\": \"72.83–100\", \"bbox\": [176, 129, 210, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [265, 129, 303, 139]}, {\"cell\": \"65.42\", \"bbox\": [357, 129, 376, 139]}, {\"cell\": \"0 (0)\", \"bbox\": [455, 129, 472, 139]}, {\"cell\": \" Psychosocial Health Summary Score\", \"bbox\": [8, 143, 126, 153]}, {\"cell\": \"65–100\", \"bbox\": [176, 143, 201, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [265, 143, 303, 153]}, {\"cell\": \"64.38\", \"bbox\": [357, 143, 376, 153]}, {\"cell\": \"1 (6.67)\", \"bbox\": [455, 143, 481, 153]}, {\"cell\": \"Physical Functioning\", \"bbox\": [16, 157, 84, 167]}, {\"cell\": \"65.62–100\", \"bbox\": [176, 157, 210, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [265, 157, 303, 167]}, {\"cell\": \"63.28\", \"bbox\": [357, 157, 376, 167]}, {\"cell\": \"0 (0)\", \"bbox\": [455, 157, 472, 167]}, {\"cell\": \"Emotional Functioning\", \"bbox\": [16, 171, 91, 181]}, {\"cell\": \"50–100\", \"bbox\": [176, 171, 201, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [265, 171, 307, 181]}, {\"cell\": \"63.29\", \"bbox\": [357, 171, 376, 181]}, {\"cell\": \"4 (9.30)\", \"bbox\": [455, 171, 481, 181]}, {\"cell\": \"Social Functioning\", \"bbox\": [16, 185, 77, 195]}, {\"cell\": \"65–100\", \"bbox\": [176, 185, 201, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [265, 185, 307, 195]}, {\"cell\": \"62.07\", \"bbox\": [357, 185, 376, 195]}, {\"cell\": \"1 (6.67)\", \"bbox\": [455, 185, 481, 195]}, {\"cell\": \"School Functioning\", \"bbox\": [16, 199, 81, 209]}, {\"cell\": \"50–100\", \"bbox\": [176, 199, 201, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [265, 199, 307, 209]}, {\"cell\": \"56.75\", \"bbox\": [357, 199, 376, 209]}, {\"cell\": \"1 (6.67)\", \"bbox\": [455, 199, 481, 209]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5813395_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Before RDN (baseline)Follow upReduction
Patient 1: right brachial approach Office BP (mmHg)[EMPTY_CELL]12/06/2015: 137/7722/17 mmHg
ABPM: mean BP (mmHg)[EMPTY_CELL]130.2/74.9 (4 months after RDN)6.9/3.2 mmHg
BP meds (3 drugs)[EMPTY_CELL]Prexum Plus/Bisocorno
Patient 2: left radial approach Office BP (mmHg)[EMPTY_CELL]17/08/2015: 128/7345/21 mmHg
ABPM: mean BP (mmHg)[EMPTY_CELL]133.2/82 (4 months after RDN)22.3/3 mmHg
BP meds (4 drugs)[EMPTY_CELL]Co-Pritor/Bisocor/Spiractinno
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Before RDN (baseline)\", \"bbox\": [81, 3, 124, 22]}, {\"cell\": \"Follow up\", \"bbox\": [145, 12, 179, 22]}, {\"cell\": \"Reduction\", \"bbox\": [201, 12, 236, 22]}, {\"cell\": \"Patient 1: right brachial approach Office BP (mmHg)\", \"bbox\": [4, 24, 69, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [82, 24, 123, 42]}, {\"cell\": \"12/06/2015: 137/77\", \"bbox\": [142, 24, 182, 42]}, {\"cell\": \"22/17 mmHg\", \"bbox\": [196, 24, 242, 33]}, {\"cell\": \"ABPM: mean BP (mmHg)\", \"bbox\": [4, 53, 65, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [84, 53, 121, 63]}, {\"cell\": \"130.2/74.9 (4 months after RDN)\", \"bbox\": [135, 53, 189, 81]}, {\"cell\": \"6.9/3.2 mmHg\", \"bbox\": [194, 53, 244, 63]}, {\"cell\": \"BP meds (3 drugs)\", \"bbox\": [4, 83, 67, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 83, 126, 101]}, {\"cell\": \"Prexum Plus/Bisocor\", \"bbox\": [139, 83, 185, 101]}, {\"cell\": \"no\", \"bbox\": [213, 83, 224, 92]}, {\"cell\": \"Patient 2: left radial approach Office BP (mmHg)\", \"bbox\": [4, 103, 69, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [82, 103, 123, 121]}, {\"cell\": \"17/08/2015: 128/73\", \"bbox\": [142, 103, 182, 121]}, {\"cell\": \"45/21 mmHg\", \"bbox\": [196, 103, 242, 112]}, {\"cell\": \"ABPM: mean BP (mmHg)\", \"bbox\": [4, 132, 65, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [88, 132, 118, 142]}, {\"cell\": \"133.2/82 (4 months after RDN)\", \"bbox\": [135, 132, 189, 160]}, {\"cell\": \"22.3/3 mmHg\", \"bbox\": [195, 132, 243, 142]}, {\"cell\": \"BP meds (4 drugs)\", \"bbox\": [4, 162, 67, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [75, 162, 130, 180]}, {\"cell\": \"Co-Pritor/Bisocor/Spiractin\", \"bbox\": [135, 162, 189, 180]}, {\"cell\": \"no\", \"bbox\": [213, 162, 224, 171]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4817202_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Category of Gene setsGene set nameCountFDR
[EMPTY_CELL][EMPTY_CELL]54.37e-03
[EMPTY_CELL][EMPTY_CELL]44.80e-03
GO_BP[EMPTY_CELL]34.80e-03
[EMPTY_CELL][EMPTY_CELL]54.83e-03
KEGG[EMPTY_CELL]34.10e-03
[EMPTY_CELL][EMPTY_CELL]95.43e-09
CGP[EMPTY_CELL]105.43e-09
[EMPTY_CELL][EMPTY_CELL]105.43e-09
[EMPTY_CELL][EMPTY_CELL]71.65e-05
\", \"cells\": [{\"cell\": \"Category of Gene sets\", \"bbox\": [4, 6, 99, 17]}, {\"cell\": \"Gene set name\", \"bbox\": [111, 6, 175, 17]}, {\"cell\": \"Count\", \"bbox\": [375, 6, 404, 17]}, {\"cell\": \"FDR\", \"bbox\": [448, 6, 471, 17]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [111, 24, 193, 35]}, {\"cell\": \"5\", \"bbox\": [386, 24, 393, 35]}, {\"cell\": \"4.37e-03\", \"bbox\": [441, 24, 478, 35]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [111, 42, 338, 53]}, {\"cell\": \"4\", \"bbox\": [386, 42, 393, 53]}, {\"cell\": \"4.80e-03\", \"bbox\": [441, 39, 478, 54]}, {\"cell\": \"GO_BP\", \"bbox\": [4, 66, 39, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [111, 60, 330, 83]}, {\"cell\": \"3\", \"bbox\": [386, 66, 393, 77]}, {\"cell\": \"4.80e-03\", \"bbox\": [441, 63, 478, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [111, 89, 184, 101]}, {\"cell\": \"5\", \"bbox\": [386, 89, 393, 101]}, {\"cell\": \"4.83e-03\", \"bbox\": [441, 86, 478, 101]}, {\"cell\": \"KEGG\", \"bbox\": [3, 107, 36, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [111, 107, 220, 118]}, {\"cell\": \"3\", \"bbox\": [386, 107, 393, 118]}, {\"cell\": \"4.10e-03\", \"bbox\": [441, 107, 478, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [111, 125, 273, 136]}, {\"cell\": \"9\", \"bbox\": [386, 122, 393, 137]}, {\"cell\": \"5.43e-09\", \"bbox\": [441, 122, 478, 137]}, {\"cell\": \"CGP\", \"bbox\": [3, 143, 27, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [111, 143, 312, 154]}, {\"cell\": \"10\", \"bbox\": [384, 143, 396, 154]}, {\"cell\": \"5.43e-09\", \"bbox\": [441, 139, 478, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [111, 160, 220, 171]}, {\"cell\": \"10\", \"bbox\": [384, 160, 396, 171]}, {\"cell\": \"5.43e-09\", \"bbox\": [441, 157, 478, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [111, 178, 199, 189]}, {\"cell\": \"7\", \"bbox\": [386, 178, 393, 189]}, {\"cell\": \"1.65e-05\", \"bbox\": [441, 178, 478, 189]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5354650_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Study dayActivity
-7 to - 1[EMPTY_CELL]
- 6[EMPTY_CELL]
- 5[EMPTY_CELL]
- 2[EMPTY_CELL]
0[EMPTY_CELL]
7[EMPTY_CELL]
8[EMPTY_CELL]
14[EMPTY_CELL]
15[EMPTY_CELL]
21[EMPTY_CELL]
22[EMPTY_CELL]
28[EMPTY_CELL]
29[EMPTY_CELL]
60[EMPTY_CELL]
61[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Study day\", \"bbox\": [1, 4, 37, 13]}, {\"cell\": \"Activity\", \"bbox\": [116, 4, 144, 13]}, {\"cell\": \"-7 to - 1\", \"bbox\": [1, 17, 30, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [116, 17, 236, 27]}, {\"cell\": \"- 6\", \"bbox\": [1, 31, 12, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [116, 31, 227, 41]}, {\"cell\": \"- 5\", \"bbox\": [1, 45, 12, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [116, 45, 223, 73]}, {\"cell\": \"- 2\", \"bbox\": [1, 77, 12, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [116, 77, 206, 96]}, {\"cell\": \"0\", \"bbox\": [1, 100, 7, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [116, 100, 216, 119]}, {\"cell\": \"7\", \"bbox\": [1, 123, 7, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [116, 123, 183, 142]}, {\"cell\": \"8\", \"bbox\": [1, 146, 7, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [116, 146, 213, 174]}, {\"cell\": \"14\", \"bbox\": [1, 178, 11, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [116, 178, 183, 197]}, {\"cell\": \"15\", \"bbox\": [1, 201, 11, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [116, 201, 213, 229]}, {\"cell\": \"21\", \"bbox\": [1, 233, 11, 243]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [116, 233, 215, 270]}, {\"cell\": \"22\", \"bbox\": [1, 274, 11, 284]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [116, 274, 213, 302]}, {\"cell\": \"28\", \"bbox\": [1, 306, 11, 316]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [116, 306, 183, 325]}, {\"cell\": \"29\", \"bbox\": [1, 329, 11, 339]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [116, 329, 213, 357]}, {\"cell\": \"60\", \"bbox\": [1, 361, 11, 371]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [116, 361, 216, 380]}, {\"cell\": \"61\", \"bbox\": [1, 384, 11, 394]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [116, 384, 199, 403]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3424115_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Targeted metabolomics platformVolume of serum used (μL)Sample prep methodAnalytical platformMetabolite class coveragePlatform targets (n)
TotalQuality control passedPercentage of missing data
Biogenic amine [51]5Protein precipitation and AccQTag derivatization[EMPTY_CELL]Amino acids, catecholamines and polyamines100380.03
Positive lipid [52]10Isopropyl alcohol extraction[EMPTY_CELL]Phospholipids, cholesterol esters, di/triglycerides and sphingomyelins2501400.11
Negative lipid [52]20Methanol extraction[EMPTY_CELL]Free fatty acids and phospholipids150590.17
Oxylipins [53]250Oasis HLB solid-phase extraction[EMPTY_CELL]Hydroxylated fatty acids, prostaglandins, and thromboxanes120350.07
Acyl-carnitines10Protein precipitation[EMPTY_CELL]Acylcarnitines, TMAO, choline, betaine50260
\", \"cells\": [{\"cell\": \"Targeted metabolomics platform\", \"bbox\": [1, 4, 77, 22]}, {\"cell\": \"Volume of serum used (μL)\", \"bbox\": [81, 4, 112, 31]}, {\"cell\": \"Sample prep method\", \"bbox\": [117, 4, 187, 13]}, {\"cell\": \"Analytical platform\", \"bbox\": [203, 4, 235, 22]}, {\"cell\": \"Metabolite class coverage\", \"bbox\": [268, 4, 353, 13]}, {\"cell\": \"Platform targets (n)\", \"bbox\": [365, 4, 429, 13]}, {\"cell\": \"Total\", \"bbox\": [365, 17, 383, 27]}, {\"cell\": \"Quality control passed\", \"bbox\": [388, 17, 436, 36]}, {\"cell\": \"Percentage of missing data\", \"bbox\": [440, 17, 484, 36]}, {\"cell\": \"Biogenic amine [51]\", \"bbox\": [1, 39, 66, 49]}, {\"cell\": \"5\", \"bbox\": [81, 39, 87, 49]}, {\"cell\": \"Protein precipitation and AccQTag derivatization\", \"bbox\": [117, 39, 198, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 39, 261, 49]}, {\"cell\": \"Amino acids, catecholamines and polyamines\", \"bbox\": [268, 39, 361, 58]}, {\"cell\": \"100\", \"bbox\": [365, 39, 379, 49]}, {\"cell\": \"38\", \"bbox\": [388, 39, 397, 49]}, {\"cell\": \"0.03\", \"bbox\": [440, 39, 455, 49]}, {\"cell\": \"Positive lipid [52]\", \"bbox\": [1, 62, 57, 72]}, {\"cell\": \"10\", \"bbox\": [81, 62, 91, 72]}, {\"cell\": \"Isopropyl alcohol extraction\", \"bbox\": [117, 62, 173, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 62, 241, 72]}, {\"cell\": \"Phospholipids, cholesterol esters, di/triglycerides and sphingomyelins\", \"bbox\": [268, 62, 354, 90]}, {\"cell\": \"250\", \"bbox\": [365, 62, 379, 72]}, {\"cell\": \"140\", \"bbox\": [388, 62, 401, 72]}, {\"cell\": \"0.11\", \"bbox\": [440, 62, 455, 72]}, {\"cell\": \"Negative lipid [52]\", \"bbox\": [1, 94, 61, 104]}, {\"cell\": \"20\", \"bbox\": [81, 94, 91, 104]}, {\"cell\": \"Methanol extraction\", \"bbox\": [117, 94, 183, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 94, 241, 104]}, {\"cell\": \"Free fatty acids and phospholipids\", \"bbox\": [268, 94, 333, 113]}, {\"cell\": \"150\", \"bbox\": [365, 94, 379, 104]}, {\"cell\": \"59\", \"bbox\": [388, 94, 397, 104]}, {\"cell\": \"0.17\", \"bbox\": [440, 94, 455, 104]}, {\"cell\": \"Oxylipins [53]\", \"bbox\": [0, 117, 45, 127]}, {\"cell\": \"250\", \"bbox\": [81, 117, 95, 127]}, {\"cell\": \"Oasis HLB solid-phase extraction\", \"bbox\": [117, 117, 188, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 117, 253, 127]}, {\"cell\": \"Hydroxylated fatty acids, prostaglandins, and thromboxanes\", \"bbox\": [268, 117, 349, 145]}, {\"cell\": \"120\", \"bbox\": [365, 117, 379, 127]}, {\"cell\": \"35\", \"bbox\": [388, 117, 397, 127]}, {\"cell\": \"0.07\", \"bbox\": [440, 117, 455, 127]}, {\"cell\": \"Acyl-carnitines\", \"bbox\": [0, 149, 48, 159]}, {\"cell\": \"10\", \"bbox\": [81, 149, 91, 159]}, {\"cell\": \"Protein precipitation\", \"bbox\": [117, 149, 184, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 149, 264, 159]}, {\"cell\": \"Acylcarnitines, TMAO, choline, betaine\", \"bbox\": [268, 149, 339, 168]}, {\"cell\": \"50\", \"bbox\": [365, 149, 375, 159]}, {\"cell\": \"26\", \"bbox\": [388, 149, 397, 159]}, {\"cell\": \"0\", \"bbox\": [440, 149, 446, 159]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4902991_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
GeneLocationResistant to
[EMPTY_CELL]ChromosomeAluminum (Al)
[EMPTY_CELL]ChromosomeArsenic (As)
[EMPTY_CELL]ChromosomeArsenic (As)
[EMPTY_CELL]ChromosomeArsenic (As)
[EMPTY_CELL]ChromosomeNorfloxacin, puromycin, and tosufloxacin
[EMPTY_CELL]ChromosomeCadmium (Cd), zinc (Zn)
[EMPTY_CELL]ChromosomeCopper (Cu)
[EMPTY_CELL]ChromosomeMagnesium (Mg), cobalt (Co), nickel (Ni), manganese (Mn)
[EMPTY_CELL]ChromosomeCobalt (Co), magnesium (Mg)
[EMPTY_CELL]ChromosomeCamphor
[EMPTY_CELL]ChromosomeCopper (Cu)
[EMPTY_CELL]ChromosomeCopper (Cu)
[EMPTY_CELL]ChromosomeCopper (Cu)
[EMPTY_CELL]ChromosomeDaunorubicin and doxorubicin
[EMPTY_CELL]ChromosomeTriclosan
[EMPTY_CELL]ChromosomeIron (Fe), zinc (Zn), cobalt (Co), cadmium (Cd), nickel (Ni)
[EMPTY_CELL]ChromosomeChloramphenicol and tetracycline
[EMPTY_CELL]ChromosomeMercury (Hg)
[EMPTY_CELL]ChromosomeDeoxycholate and novobiocin
[EMPTY_CELL]ChromosomeDeoxycholate and novobiocin
[EMPTY_CELL]ChromosomeAcriflavine, benzalkonium, chloramphenicol, deoxycholate, doxorubicin, ethidium, fluoroquinolones, fosfomycin tetraphenylphosphonium ion (TPP), and trimethoprim
[EMPTY_CELL]ChromosomeManganese (Mn), iron (Fe), cadmium (Cd), cobalt (Co), zinc (Zn)
[EMPTY_CELL]ChromosomeManganese (Mn), magnesium (Mg), methyl viologen, hydrogen
[EMPTY_CELL][EMPTY_CELL]Peroxide (H2O2)
[EMPTY_CELL]ChromosomeTungsten (W), molybdenum (Mo)
[EMPTY_CELL]ChromosomeAcriflavine, ciprofloxacin, daunomycin, doxorubicin, ethidium bromide, kanamycin, norfloxacin, ofloxacin, and streptomycin
[EMPTY_CELL]ChromosomeOrganic hydroperoxide
[EMPTY_CELL]ChromosomeArsenic (As)
[EMPTY_CELL]ChromosomeAntiseptic and disinfectant compounds, e.g., intercalating dyes, diamidines, and quaternary ammonium salts
[EMPTY_CELL]ChromosomeCetylpridininium chloride (CPC), chromium (Cr), dodine and 2-nitroimidazole
[EMPTY_CELL]ChromosomeSpectinomycin and tetracycline
[EMPTY_CELL]ChromosomeQuaternary ammonium compound
[EMPTY_CELL]ChromosomeTetracycline
[EMPTY_CELL]ChromosomeVancomycin
[EMPTY_CELL]Chromosome4,6-diamidino-2-phenylindole (DAPI), acriflavine, Ethidium
[EMPTY_CELL][EMPTY_CELL]Bromide, tetraphenylphosphonium (TPP), quaternary ammonium
[EMPTY_CELL][EMPTY_CELL]Compounds (QACs)
[EMPTY_CELL]ChromosomeZinc (Zn)
[EMPTY_CELL]ChromosomeZinc (Zn), iron (Fe), cobalt (Co), nickel (Ni), copper (Cu), Cadmium (Cd)
[EMPTY_CELL]PlasmidTellurite
\", \"cells\": [{\"cell\": \"Gene\", \"bbox\": [1, 6, 20, 14]}, {\"cell\": \"Location\", \"bbox\": [37, 6, 68, 14]}, {\"cell\": \"Resistant to\", \"bbox\": [104, 6, 146, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 23, 11, 32]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 23, 80, 32]}, {\"cell\": \"Aluminum (Al)\", \"bbox\": [104, 23, 147, 32]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 34, 16, 42]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 34, 80, 42]}, {\"cell\": \"Arsenic (As)\", \"bbox\": [104, 34, 141, 42]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 44, 17, 52]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 44, 80, 52]}, {\"cell\": \"Arsenic (As)\", \"bbox\": [104, 44, 141, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 54, 16, 62]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 54, 80, 62]}, {\"cell\": \"Arsenic (As)\", \"bbox\": [104, 54, 141, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 64, 18, 73]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 64, 80, 73]}, {\"cell\": \"Norfloxacin, puromycin, and tosufloxacin\", \"bbox\": [104, 64, 228, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 74, 18, 83]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 74, 80, 83]}, {\"cell\": \"Cadmium (Cd), zinc (Zn)\", \"bbox\": [104, 74, 178, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 84, 18, 93]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 84, 80, 93]}, {\"cell\": \"Copper (Cu)\", \"bbox\": [104, 84, 142, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 96, 17, 104]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 96, 80, 104]}, {\"cell\": \"Magnesium (Mg), cobalt (Co), nickel (Ni), manganese (Mn)\", \"bbox\": [104, 96, 227, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 117, 17, 125]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 117, 80, 125]}, {\"cell\": \"Cobalt (Co), magnesium (Mg)\", \"bbox\": [104, 117, 194, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 128, 17, 136]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 128, 80, 136]}, {\"cell\": \"Camphor\", \"bbox\": [104, 128, 134, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 139, 18, 148]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 139, 80, 148]}, {\"cell\": \"Copper (Cu)\", \"bbox\": [104, 139, 142, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 151, 17, 159]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 151, 80, 159]}, {\"cell\": \"Copper (Cu)\", \"bbox\": [104, 151, 142, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 162, 18, 171]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 162, 80, 171]}, {\"cell\": \"Copper (Cu)\", \"bbox\": [104, 162, 142, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 173, 15, 182]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 173, 80, 182]}, {\"cell\": \"Daunorubicin and doxorubicin\", \"bbox\": [104, 173, 196, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 185, 16, 193]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 185, 80, 193]}, {\"cell\": \"Triclosan\", \"bbox\": [104, 185, 132, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 196, 13, 205]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 196, 80, 205]}, {\"cell\": \"Iron (Fe), zinc (Zn), cobalt (Co), cadmium (Cd), nickel (Ni)\", \"bbox\": [104, 196, 243, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 217, 19, 225]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 217, 80, 225]}, {\"cell\": \"Chloramphenicol and tetracycline\", \"bbox\": [104, 217, 206, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 228, 23, 237]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 228, 80, 237]}, {\"cell\": \"Mercury (Hg)\", \"bbox\": [104, 228, 144, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 240, 19, 248]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 240, 80, 248]}, {\"cell\": \"Deoxycholate and novobiocin\", \"bbox\": [104, 240, 195, 248]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 251, 19, 259]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 251, 80, 259]}, {\"cell\": \"Deoxycholate and novobiocin\", \"bbox\": [104, 251, 195, 259]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 262, 19, 271]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 262, 80, 271]}, {\"cell\": \"Acriflavine, benzalkonium, chloramphenicol, deoxycholate, doxorubicin, ethidium, fluoroquinolones, fosfomycin tetraphenylphosphonium ion (TPP), and trimethoprim\", \"bbox\": [104, 262, 237, 309]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 312, 19, 320]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 312, 80, 320]}, {\"cell\": \"Manganese (Mn), iron (Fe), cadmium (Cd), cobalt (Co), zinc (Zn)\", \"bbox\": [104, 312, 232, 330]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 332, 19, 341]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 332, 80, 341]}, {\"cell\": \"Manganese (Mn), magnesium (Mg), methyl viologen, hydrogen\", \"bbox\": [104, 332, 233, 350]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Peroxide (H2O2)\", \"bbox\": [104, 353, 154, 363]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 365, 21, 373]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 365, 80, 373]}, {\"cell\": \"Tungsten (W), molybdenum (Mo)\", \"bbox\": [104, 365, 203, 373]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 376, 18, 384]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 376, 80, 384]}, {\"cell\": \"Acriflavine, ciprofloxacin, daunomycin, doxorubicin, ethidium bromide, kanamycin, norfloxacin, ofloxacin, and streptomycin\", \"bbox\": [104, 376, 235, 403]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 406, 17, 415]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 406, 80, 415]}, {\"cell\": \"Organic hydroperoxide\", \"bbox\": [104, 406, 174, 415]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 418, 17, 426]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 418, 80, 426]}, {\"cell\": \"Arsenic (As)\", \"bbox\": [104, 418, 141, 426]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 429, 18, 437]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 429, 80, 437]}, {\"cell\": \"Antiseptic and disinfectant compounds, e.g., intercalating dyes, diamidines, and quaternary ammonium salts\", \"bbox\": [104, 429, 244, 456]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 459, 16, 468]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 459, 80, 468]}, {\"cell\": \"Cetylpridininium chloride (CPC), chromium (Cr), dodine and 2-nitroimidazole\", \"bbox\": [104, 459, 247, 477]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 480, 12, 489]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 480, 80, 489]}, {\"cell\": \"Spectinomycin and tetracycline\", \"bbox\": [104, 480, 200, 489]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 491, 18, 500]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 491, 80, 500]}, {\"cell\": \"Quaternary ammonium compound\", \"bbox\": [104, 491, 210, 500]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 503, 19, 511]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 503, 80, 511]}, {\"cell\": \"Tetracycline\", \"bbox\": [104, 503, 141, 511]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 514, 19, 523]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 514, 80, 523]}, {\"cell\": \"Vancomycin\", \"bbox\": [104, 514, 142, 523]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 525, 18, 534]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 525, 80, 534]}, {\"cell\": \"4,6-diamidino-2-phenylindole (DAPI), acriflavine, Ethidium\", \"bbox\": [104, 525, 216, 543]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Bromide, tetraphenylphosphonium (TPP), quaternary ammonium\", \"bbox\": [104, 546, 230, 564]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Compounds (QACs)\", \"bbox\": [104, 567, 166, 576]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 578, 15, 587]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 578, 80, 587]}, {\"cell\": \"Zinc (Zn)\", \"bbox\": [104, 578, 132, 587]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 590, 17, 598]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 590, 80, 598]}, {\"cell\": \"Zinc (Zn), iron (Fe), cobalt (Co), nickel (Ni), copper (Cu), Cadmium (Cd)\", \"bbox\": [104, 590, 230, 608]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 611, 17, 619]}, {\"cell\": \"Plasmid\", \"bbox\": [37, 611, 63, 619]}, {\"cell\": \"Tellurite\", \"bbox\": [104, 611, 128, 619]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5104964_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
SuperFamilyFamily# SeqHMM-dHMM-ModE with HMMER3 (HMMER2)
SeSpSeSp
[EMPTY_CELL]AMP deaminase2810.901(1)1(1)
[EMPTY_CELL]10010.501(1)1(1)
[EMPTY_CELL]1010.051(1)1(1)
[EMPTY_CELL]1310.141(1)1(1)
[EMPTY_CELL]1110.221(1)1(1)
[EMPTY_CELL]1010.351(1)1(1)
[EMPTY_CELL]Enolase21510.881(1)1(1)
[EMPTY_CELL]2610.201(1)1(1)
[EMPTY_CELL]1410.091(1)1(1)
[EMPTY_CELL]1010.051(1)1(1)
[EMPTY_CELL]Enoyl-CoA hydratase5410.231(1)1(1)
[EMPTY_CELL]11110.091(1)1(1)
[EMPTY_CELL]P-type atpase9110.771(1)1(1)
[EMPTY_CELL]Catechol 2,3-dioxygenase3210.281(1)0.88 (0.88)
[EMPTY_CELL]2610.601(1)1(1)
[EMPTY_CELL]2310.200.95 (1)0.71(0.63)
[EMPTY_CELL]1210.201(1)1(1)
\", \"cells\": [{\"cell\": \"SuperFamily\", \"bbox\": [19, 4, 64, 13]}, {\"cell\": \"Family\", \"bbox\": [150, 4, 175, 13]}, {\"cell\": \"# Seq\", \"bbox\": [243, 4, 264, 13]}, {\"cell\": \"HMM-d\", \"bbox\": [288, 4, 316, 13]}, {\"cell\": \"HMM-ModE with HMMER3 (HMMER2)\", \"bbox\": [346, 4, 478, 13]}, {\"cell\": \"Se\", \"bbox\": [281, 17, 291, 27]}, {\"cell\": \"Sp\", \"bbox\": [310, 17, 321, 27]}, {\"cell\": \"Se\", \"bbox\": [364, 17, 374, 27]}, {\"cell\": \"Sp\", \"bbox\": [445, 17, 455, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 30, 69, 40]}, {\"cell\": \"AMP deaminase\", \"bbox\": [136, 30, 189, 40]}, {\"cell\": \"28\", \"bbox\": [248, 30, 258, 40]}, {\"cell\": \"1\", \"bbox\": [283, 30, 289, 40]}, {\"cell\": \"0.90\", \"bbox\": [308, 30, 323, 40]}, {\"cell\": \"1(1)\", \"bbox\": [362, 30, 376, 40]}, {\"cell\": \"1(1)\", \"bbox\": [443, 30, 457, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [151, 44, 174, 54]}, {\"cell\": \"100\", \"bbox\": [247, 44, 260, 54]}, {\"cell\": \"1\", \"bbox\": [283, 44, 289, 54]}, {\"cell\": \"0.50\", \"bbox\": [308, 44, 323, 54]}, {\"cell\": \"1(1)\", \"bbox\": [362, 44, 376, 54]}, {\"cell\": \"1(1)\", \"bbox\": [443, 44, 457, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 58, 188, 68]}, {\"cell\": \"10\", \"bbox\": [248, 58, 258, 68]}, {\"cell\": \"1\", \"bbox\": [283, 58, 289, 68]}, {\"cell\": \"0.05\", \"bbox\": [308, 58, 323, 68]}, {\"cell\": \"1(1)\", \"bbox\": [362, 58, 376, 68]}, {\"cell\": \"1(1)\", \"bbox\": [443, 58, 457, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [134, 72, 191, 82]}, {\"cell\": \"13\", \"bbox\": [248, 72, 258, 82]}, {\"cell\": \"1\", \"bbox\": [283, 72, 289, 82]}, {\"cell\": \"0.14\", \"bbox\": [308, 72, 323, 82]}, {\"cell\": \"1(1)\", \"bbox\": [362, 72, 376, 82]}, {\"cell\": \"1(1)\", \"bbox\": [443, 72, 457, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [130, 86, 195, 96]}, {\"cell\": \"11\", \"bbox\": [248, 86, 258, 96]}, {\"cell\": \"1\", \"bbox\": [283, 86, 289, 96]}, {\"cell\": \"0.22\", \"bbox\": [308, 86, 323, 96]}, {\"cell\": \"1(1)\", \"bbox\": [362, 86, 376, 96]}, {\"cell\": \"1(1)\", \"bbox\": [443, 86, 457, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [126, 100, 199, 110]}, {\"cell\": \"10\", \"bbox\": [248, 100, 258, 110]}, {\"cell\": \"1\", \"bbox\": [283, 100, 289, 110]}, {\"cell\": \"0.35\", \"bbox\": [308, 100, 323, 110]}, {\"cell\": \"1(1)\", \"bbox\": [362, 100, 376, 110]}, {\"cell\": \"1(1)\", \"bbox\": [443, 100, 457, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [29, 114, 55, 124]}, {\"cell\": \"Enolase\", \"bbox\": [149, 114, 175, 124]}, {\"cell\": \"215\", \"bbox\": [247, 114, 260, 124]}, {\"cell\": \"1\", \"bbox\": [283, 114, 289, 124]}, {\"cell\": \"0.88\", \"bbox\": [308, 114, 323, 124]}, {\"cell\": \"1(1)\", \"bbox\": [362, 114, 376, 124]}, {\"cell\": \"1(1)\", \"bbox\": [443, 114, 457, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [126, 128, 199, 138]}, {\"cell\": \"26\", \"bbox\": [248, 128, 258, 138]}, {\"cell\": \"1\", \"bbox\": [283, 128, 289, 138]}, {\"cell\": \"0.20\", \"bbox\": [308, 128, 323, 138]}, {\"cell\": \"1(1)\", \"bbox\": [362, 128, 376, 138]}, {\"cell\": \"1(1)\", \"bbox\": [443, 128, 457, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [120, 142, 205, 152]}, {\"cell\": \"14\", \"bbox\": [248, 142, 258, 152]}, {\"cell\": \"1\", \"bbox\": [283, 142, 289, 152]}, {\"cell\": \"0.09\", \"bbox\": [308, 142, 323, 152]}, {\"cell\": \"1(1)\", \"bbox\": [362, 142, 376, 152]}, {\"cell\": \"1(1)\", \"bbox\": [443, 142, 457, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [109, 156, 215, 166]}, {\"cell\": \"10\", \"bbox\": [248, 156, 258, 166]}, {\"cell\": \"1\", \"bbox\": [283, 156, 289, 166]}, {\"cell\": \"0.05\", \"bbox\": [308, 156, 323, 166]}, {\"cell\": \"1(1)\", \"bbox\": [362, 156, 376, 166]}, {\"cell\": \"1(1)\", \"bbox\": [443, 156, 457, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [24, 170, 59, 180]}, {\"cell\": \"Enoyl-CoA hydratase\", \"bbox\": [128, 170, 196, 180]}, {\"cell\": \"54\", \"bbox\": [248, 170, 258, 180]}, {\"cell\": \"1\", \"bbox\": [283, 170, 289, 180]}, {\"cell\": \"0.23\", \"bbox\": [308, 170, 323, 180]}, {\"cell\": \"1(1)\", \"bbox\": [362, 170, 376, 180]}, {\"cell\": \"1(1)\", \"bbox\": [443, 170, 457, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [122, 184, 203, 194]}, {\"cell\": \"11\", \"bbox\": [248, 184, 258, 194]}, {\"cell\": \"11\", \"bbox\": [281, 184, 291, 194]}, {\"cell\": \"0.09\", \"bbox\": [308, 184, 323, 194]}, {\"cell\": \"1(1)\", \"bbox\": [362, 184, 376, 194]}, {\"cell\": \"1(1)\", \"bbox\": [443, 184, 457, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 198, 83, 208]}, {\"cell\": \"P-type atpase\", \"bbox\": [140, 198, 185, 208]}, {\"cell\": \"91\", \"bbox\": [248, 198, 258, 208]}, {\"cell\": \"1\", \"bbox\": [283, 198, 289, 208]}, {\"cell\": \"0.77\", \"bbox\": [308, 198, 323, 208]}, {\"cell\": \"1(1)\", \"bbox\": [362, 198, 376, 208]}, {\"cell\": \"1(1)\", \"bbox\": [443, 198, 457, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 212, 79, 222]}, {\"cell\": \"Catechol 2,3-dioxygenase\", \"bbox\": [121, 212, 204, 222]}, {\"cell\": \"32\", \"bbox\": [248, 212, 258, 222]}, {\"cell\": \"1\", \"bbox\": [283, 212, 289, 222]}, {\"cell\": \"0.28\", \"bbox\": [308, 212, 323, 222]}, {\"cell\": \"1(1)\", \"bbox\": [362, 212, 376, 222]}, {\"cell\": \"0.88 (0.88)\", \"bbox\": [433, 212, 467, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [99, 226, 225, 236]}, {\"cell\": \"26\", \"bbox\": [248, 226, 258, 236]}, {\"cell\": \"1\", \"bbox\": [283, 226, 289, 236]}, {\"cell\": \"0.60\", \"bbox\": [308, 226, 323, 236]}, {\"cell\": \"1(1)\", \"bbox\": [362, 226, 376, 236]}, {\"cell\": \"1(1)\", \"bbox\": [443, 226, 457, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 240, 220, 250]}, {\"cell\": \"23\", \"bbox\": [248, 240, 258, 250]}, {\"cell\": \"1\", \"bbox\": [283, 240, 289, 250]}, {\"cell\": \"0.20\", \"bbox\": [308, 240, 323, 250]}, {\"cell\": \"0.95 (1)\", \"bbox\": [357, 240, 382, 250]}, {\"cell\": \"0.71(0.63)\", \"bbox\": [434, 240, 466, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [142, 254, 183, 264]}, {\"cell\": \"12\", \"bbox\": [248, 254, 258, 264]}, {\"cell\": \"1\", \"bbox\": [283, 254, 289, 264]}, {\"cell\": \"0.20\", \"bbox\": [308, 254, 323, 264]}, {\"cell\": \"1(1)\", \"bbox\": [362, 254, 376, 264]}, {\"cell\": \"1(1)\", \"bbox\": [443, 254, 457, 264]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4236727_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]P. laevis C[P.laevis] / C[Organ] ± SDEustrongylides sp. C[Eustrongylidessp.] / C[Organ] ± SDC[Eustrongylidessp.] / C[P. laevis] ± SD
[EMPTY_CELL]MuscleIntestineLiverMuscleIntestineLiver[EMPTY_CELL]
[EMPTY_CELL]7.6 (± 7.4)3.3 (± 3.6)4.5 (± 4.9)3.0 (± 2.1)1.0 (± 0.6)2.0 (± 2.2)0.6 (± 0.6)
[EMPTY_CELL]90.3 (± 121.6)15. 6 (± 13.3)14.1 (± 10.7)1.3 (± 0.8)0.3 (± 0.2)0.3 (± 0.2)0.04 (± 0.04)
[EMPTY_CELL]5.3 (± 3.8)1.2 (± 0.7)1.6 (± 0.8)24.1 (± 12.1)6.6 (± 5.2)8.3 (± 2.9)5.8 (± 3.8)
[EMPTY_CELL]26.0 (± 26.5)11.0 (± 10.2)4.5 (± 6.5)122.9 (± 71.0)48.3 (± 22.6)20.7 (± 17.8)6.9 (± 5.2)
[EMPTY_CELL]3.3 (± 2.8)0.8 (± 0.4)0.7 (± 0.6)14.3 (± 7.7)3.8 (± 2.1)2.9 (± 1.7)4.8 (± 2.0)
[EMPTY_CELL]20.6 (± 18.5)3.9 (± 4.5)7.1 (± 4.1)2.2 (± 1.3)0.4 (± 0.3)1.0 (± 0.7)0.2 (± 0.1)
[EMPTY_CELL]337 (± 401)36.8 (± 27.6)142 (± 133)9.4 (± 12.5)1.4 (± 1.8)4.5 (± 4.6)0.04 (± 0.03)
[EMPTY_CELL]2.5 (± 1.5)1.2 (± 0.5)0.8 (± 0.4)7.1 (± 4.9)3.4 (± 1.9)2.1 (± 1.0)2.9 (± 1.2)
[EMPTY_CELL]n.d.n.d.n.d.54.5 (± 93.4)22.1 (± 23.3)9.1 (± 8.5)n.d.
[EMPTY_CELL]2.0 (± 1.7)0.6 (± 0.3)0.3 (± 0.2)3.6 (± 3.1)1.0 (± 0.6)0.5 (± 0.3)1.8 (± 1.1)
[EMPTY_CELL]10.3 (± 4.7)4.0 (± 1.8)3.6 (± 2.6)11.6 (± 6.1)4.5 (± 1.7)3.6 (± 2.7)1.2 (± 0.6)
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"P. laevis C[P.laevis] / C[Organ] ± SD\", \"bbox\": [23, 4, 131, 14]}, {\"cell\": \"Eustrongylides sp. C[Eustrongylidessp.] / C[Organ] ± SD\", \"bbox\": [183, 4, 352, 14]}, {\"cell\": \"C[Eustrongylidessp.] / C[P. laevis] ± SD\", \"bbox\": [374, 4, 484, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Muscle\", \"bbox\": [23, 17, 49, 26]}, {\"cell\": \"Intestine\", \"bbox\": [78, 17, 110, 26]}, {\"cell\": \"Liver\", \"bbox\": [132, 17, 151, 26]}, {\"cell\": \"Muscle\", \"bbox\": [183, 17, 209, 26]}, {\"cell\": \"Intestine\", \"bbox\": [249, 17, 281, 26]}, {\"cell\": \"Liver\", \"bbox\": [312, 17, 331, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 30, 10, 39]}, {\"cell\": \"7.6 (± 7.4)\", \"bbox\": [23, 30, 57, 39]}, {\"cell\": \"3.3 (± 3.6)\", \"bbox\": [78, 30, 112, 39]}, {\"cell\": \"4.5 (± 4.9)\", \"bbox\": [132, 30, 166, 39]}, {\"cell\": \"3.0 (± 2.1)\", \"bbox\": [183, 30, 217, 39]}, {\"cell\": \"1.0 (± 0.6)\", \"bbox\": [249, 30, 283, 39]}, {\"cell\": \"2.0 (± 2.2)\", \"bbox\": [312, 30, 345, 39]}, {\"cell\": \"0.6 (± 0.6)\", \"bbox\": [374, 30, 408, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 44, 11, 53]}, {\"cell\": \"90.3 (± 121.6)\", \"bbox\": [23, 44, 68, 53]}, {\"cell\": \"15. 6 (± 13.3)\", \"bbox\": [78, 44, 122, 53]}, {\"cell\": \"14.1 (± 10.7)\", \"bbox\": [132, 44, 173, 53]}, {\"cell\": \"1.3 (± 0.8)\", \"bbox\": [183, 44, 217, 53]}, {\"cell\": \"0.3 (± 0.2)\", \"bbox\": [249, 44, 283, 53]}, {\"cell\": \"0.3 (± 0.2)\", \"bbox\": [312, 44, 345, 53]}, {\"cell\": \"0.04 (± 0.04)\", \"bbox\": [374, 44, 415, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 58, 11, 67]}, {\"cell\": \"5.3 (± 3.8)\", \"bbox\": [23, 58, 57, 67]}, {\"cell\": \"1.2 (± 0.7)\", \"bbox\": [78, 58, 112, 67]}, {\"cell\": \"1.6 (± 0.8)\", \"bbox\": [132, 58, 166, 67]}, {\"cell\": \"24.1 (± 12.1)\", \"bbox\": [183, 58, 225, 67]}, {\"cell\": \"6.6 (± 5.2)\", \"bbox\": [249, 58, 283, 67]}, {\"cell\": \"8.3 (± 2.9)\", \"bbox\": [312, 58, 345, 67]}, {\"cell\": \"5.8 (± 3.8)\", \"bbox\": [374, 58, 408, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 72, 11, 81]}, {\"cell\": \"26.0 (± 26.5)\", \"bbox\": [23, 72, 64, 81]}, {\"cell\": \"11.0 (± 10.2)\", \"bbox\": [78, 72, 119, 81]}, {\"cell\": \"4.5 (± 6.5)\", \"bbox\": [132, 72, 166, 81]}, {\"cell\": \"122.9 (± 71.0)\", \"bbox\": [183, 72, 228, 81]}, {\"cell\": \"48.3 (± 22.6)\", \"bbox\": [249, 72, 291, 81]}, {\"cell\": \"20.7 (± 17.8)\", \"bbox\": [312, 72, 353, 81]}, {\"cell\": \"6.9 (± 5.2)\", \"bbox\": [374, 72, 408, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 86, 10, 95]}, {\"cell\": \"3.3 (± 2.8)\", \"bbox\": [23, 86, 57, 95]}, {\"cell\": \"0.8 (± 0.4)\", \"bbox\": [78, 86, 112, 95]}, {\"cell\": \"0.7 (± 0.6)\", \"bbox\": [132, 86, 166, 95]}, {\"cell\": \"14.3 (± 7.7)\", \"bbox\": [183, 86, 221, 95]}, {\"cell\": \"3.8 (± 2.1)\", \"bbox\": [249, 86, 283, 95]}, {\"cell\": \"2.9 (± 1.7)\", \"bbox\": [312, 86, 345, 95]}, {\"cell\": \"4.8 (± 2.0)\", \"bbox\": [374, 86, 408, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 100, 13, 109]}, {\"cell\": \"20.6 (± 18.5)\", \"bbox\": [23, 100, 64, 109]}, {\"cell\": \"3.9 (± 4.5)\", \"bbox\": [78, 100, 112, 109]}, {\"cell\": \"7.1 (± 4.1)\", \"bbox\": [132, 100, 166, 109]}, {\"cell\": \"2.2 (± 1.3)\", \"bbox\": [183, 100, 217, 109]}, {\"cell\": \"0.4 (± 0.3)\", \"bbox\": [249, 100, 283, 109]}, {\"cell\": \"1.0 (± 0.7)\", \"bbox\": [312, 100, 345, 109]}, {\"cell\": \"0.2 (± 0.1)\", \"bbox\": [374, 100, 408, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 114, 11, 123]}, {\"cell\": \"337 (± 401)\", \"bbox\": [23, 114, 62, 123]}, {\"cell\": \"36.8 (± 27.6)\", \"bbox\": [78, 114, 119, 123]}, {\"cell\": \"142 (± 133)\", \"bbox\": [132, 114, 171, 123]}, {\"cell\": \"9.4 (± 12.5)\", \"bbox\": [183, 114, 221, 123]}, {\"cell\": \"1.4 (± 1.8)\", \"bbox\": [249, 114, 283, 123]}, {\"cell\": \"4.5 (± 4.6)\", \"bbox\": [312, 114, 345, 123]}, {\"cell\": \"0.04 (± 0.03)\", \"bbox\": [374, 114, 415, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 128, 10, 137]}, {\"cell\": \"2.5 (± 1.5)\", \"bbox\": [23, 128, 57, 137]}, {\"cell\": \"1.2 (± 0.5)\", \"bbox\": [78, 128, 112, 137]}, {\"cell\": \"0.8 (± 0.4)\", \"bbox\": [132, 128, 166, 137]}, {\"cell\": \"7.1 (± 4.9)\", \"bbox\": [183, 128, 217, 137]}, {\"cell\": \"3.4 (± 1.9)\", \"bbox\": [249, 128, 283, 137]}, {\"cell\": \"2.1 (± 1.0)\", \"bbox\": [312, 128, 345, 137]}, {\"cell\": \"2.9 (± 1.2)\", \"bbox\": [374, 128, 408, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 142, 10, 151]}, {\"cell\": \"n.d.\", \"bbox\": [23, 142, 36, 151]}, {\"cell\": \"n.d.\", \"bbox\": [78, 142, 91, 151]}, {\"cell\": \"n.d.\", \"bbox\": [132, 142, 145, 151]}, {\"cell\": \"54.5 (± 93.4)\", \"bbox\": [183, 142, 225, 151]}, {\"cell\": \"22.1 (± 23.3)\", \"bbox\": [249, 142, 291, 151]}, {\"cell\": \"9.1 (± 8.5)\", \"bbox\": [312, 142, 345, 151]}, {\"cell\": \"n.d.\", \"bbox\": [374, 142, 387, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 156, 7, 165]}, {\"cell\": \"2.0 (± 1.7)\", \"bbox\": [23, 156, 57, 165]}, {\"cell\": \"0.6 (± 0.3)\", \"bbox\": [78, 156, 112, 165]}, {\"cell\": \"0.3 (± 0.2)\", \"bbox\": [132, 156, 166, 165]}, {\"cell\": \"3.6 (± 3.1)\", \"bbox\": [183, 156, 217, 165]}, {\"cell\": \"1.0 (± 0.6)\", \"bbox\": [249, 156, 283, 165]}, {\"cell\": \"0.5 (± 0.3)\", \"bbox\": [312, 156, 345, 165]}, {\"cell\": \"1.8 (± 1.1)\", \"bbox\": [374, 156, 408, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 170, 11, 179]}, {\"cell\": \"10.3 (± 4.7)\", \"bbox\": [23, 170, 60, 179]}, {\"cell\": \"4.0 (± 1.8)\", \"bbox\": [78, 170, 112, 179]}, {\"cell\": \"3.6 (± 2.6)\", \"bbox\": [132, 170, 166, 179]}, {\"cell\": \"11.6 (± 6.1)\", \"bbox\": [183, 170, 221, 179]}, {\"cell\": \"4.5 (± 1.7)\", \"bbox\": [249, 170, 283, 179]}, {\"cell\": \"3.6 (± 2.7)\", \"bbox\": [312, 170, 345, 179]}, {\"cell\": \"1.2 (± 0.6)\", \"bbox\": [374, 170, 408, 179]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3558458_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
ScriptFunction
star-fc-qc.sh[EMPTY_CELL]
star-fc-qc.ws.sh[EMPTY_CELL]
star-fc-qc.summary.sh[EMPTY_CELL]
get-star-summary.pl[EMPTY_CELL]
get-fc-summary.pl[EMPTY_CELL]
get-read-dist.pl[EMPTY_CELL]
get-snp-corr.pl[EMPTY_CELL]
get-expr-table.R[EMPTY_CELL]
get-expr-qc.R[EMPTY_CELL]
plot-rnaseq-metrics.R[EMPTY_CELL]
plot-corr-matrix.R[EMPTY_CELL]
plot-expr-count.R[EMPTY_CELL]
RSeQC-html.pl[EMPTY_CELL]
make_HTMLs.sh[EMPTY_CELL]
gtf2annot.pl[EMPTY_CELL]
gtf2bed.pl[EMPTY_CELL]
star-fc-qc.config.template[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Script\", \"bbox\": [1, 4, 20, 13]}, {\"cell\": \"Function\", \"bbox\": [87, 4, 117, 13]}, {\"cell\": \"star-fc-qc.sh\", \"bbox\": [1, 17, 40, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [87, 17, 195, 27]}, {\"cell\": \"star-fc-qc.ws.sh\", \"bbox\": [1, 31, 50, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [87, 31, 233, 50]}, {\"cell\": \"star-fc-qc.summary.sh\", \"bbox\": [1, 54, 71, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [87, 54, 195, 64]}, {\"cell\": \"get-star-summary.pl\", \"bbox\": [1, 68, 66, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [87, 68, 191, 78]}, {\"cell\": \"get-fc-summary.pl\", \"bbox\": [1, 82, 60, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [87, 82, 219, 92]}, {\"cell\": \"get-read-dist.pl\", \"bbox\": [1, 96, 50, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [87, 96, 206, 106]}, {\"cell\": \"get-snp-corr.pl\", \"bbox\": [1, 110, 49, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [87, 110, 205, 129]}, {\"cell\": \"get-expr-table.R\", \"bbox\": [1, 133, 53, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [87, 133, 230, 143]}, {\"cell\": \"get-expr-qc.R\", \"bbox\": [1, 147, 45, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [87, 147, 230, 166]}, {\"cell\": \"plot-rnaseq-metrics.R\", \"bbox\": [1, 170, 69, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [87, 170, 211, 189]}, {\"cell\": \"plot-corr-matrix.R\", \"bbox\": [1, 193, 57, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [87, 193, 169, 203]}, {\"cell\": \"plot-expr-count.R\", \"bbox\": [1, 207, 58, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [87, 207, 214, 226]}, {\"cell\": \"RSeQC-html.pl\", \"bbox\": [1, 230, 48, 240]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [87, 230, 223, 249]}, {\"cell\": \"make_HTMLs.sh\", \"bbox\": [1, 253, 53, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [87, 253, 228, 272]}, {\"cell\": \"gtf2annot.pl\", \"bbox\": [1, 276, 41, 286]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [87, 276, 219, 295]}, {\"cell\": \"gtf2bed.pl\", \"bbox\": [1, 299, 35, 309]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [87, 299, 237, 318]}, {\"cell\": \"star-fc-qc.config.template\", \"bbox\": [1, 322, 83, 332]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [87, 322, 233, 332]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4706714_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariablesAtypical (n1 = 63, n2 = 6)Mean ± SDAnxiety (n1 = 111, n2 = 27)Mean ± SDt
YMRS-4 (sleep)0.67 ± 0.900.03 ± 0.16[EMPTY_CELL]
YMRS-5 (irritability)0.86 ± 0.950.14 ± 0.48[EMPTY_CELL]
YMRS-7 (thought form)0.05 ± 0.220[EMPTY_CELL]
YMRS-8 (thought content)0.14 ± 0.350[EMPTY_CELL]
YMRS-9 (aggressive behaviour)0.05 ± 0.220[EMPTY_CELL]
YMRS-10 (appearance)0.05 ± 0.220[EMPTY_CELL]
Total score of YMRS1.81 ± 1.940.16 ± 0.49[EMPTY_CELL]
HAMA-5 (cognitive function)1.90 ± 0.531.54 ± 0.83[EMPTY_CELL]
HAMA-6 (depressed mood)2.05 ± 1.061.46 ± 0.86[EMPTY_CELL]
HAMA-8 (sensory symptoms)0.67 ± 1.001.35 ± 1.24[EMPTY_CELL]
HAMA-13 (ANS symptoms)1.14 ± 0.651.46 ± 0.89[EMPTY_CELL]
HAMA-14 (performance)1.57 ± 0.671.97 ± 0.49[EMPTY_CELL]
Somatic anxiety factor4.14 ± 3.825.76 ± 3.46[EMPTY_CELL]
Total score of YBOCS22.50 ± 4.9519.22 ± 2.95[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Variables\", \"bbox\": [1, 4, 30, 13]}, {\"cell\": \"Atypical (n1 = 63, n2 = 6)Mean ± SD\", \"bbox\": [161, 4, 245, 22]}, {\"cell\": \"Anxiety (n1 = 111, n2 = 27)Mean ± SD\", \"bbox\": [306, 4, 396, 22]}, {\"cell\": \"t\", \"bbox\": [456, 4, 461, 13]}, {\"cell\": \"YMRS-4 (sleep)\", \"bbox\": [1, 26, 50, 36]}, {\"cell\": \"0.67 ± 0.90\", \"bbox\": [161, 26, 198, 36]}, {\"cell\": \"0.03 ± 0.16\", \"bbox\": [306, 26, 343, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [456, 24, 482, 36]}, {\"cell\": \"YMRS-5 (irritability)\", \"bbox\": [1, 40, 62, 50]}, {\"cell\": \"0.86 ± 0.95\", \"bbox\": [161, 40, 199, 50]}, {\"cell\": \"0.14 ± 0.48\", \"bbox\": [306, 40, 343, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [456, 38, 482, 50]}, {\"cell\": \"YMRS-7 (thought form)\", \"bbox\": [1, 54, 77, 64]}, {\"cell\": \"0.05 ± 0.22\", \"bbox\": [161, 54, 199, 64]}, {\"cell\": \"0\", \"bbox\": [306, 54, 312, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [456, 52, 477, 64]}, {\"cell\": \"YMRS-8 (thought content)\", \"bbox\": [1, 68, 86, 78]}, {\"cell\": \"0.14 ± 0.35\", \"bbox\": [161, 68, 199, 78]}, {\"cell\": \"0\", \"bbox\": [306, 68, 312, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [456, 66, 482, 78]}, {\"cell\": \"YMRS-9 (aggressive behaviour)\", \"bbox\": [1, 82, 101, 92]}, {\"cell\": \"0.05 ± 0.22\", \"bbox\": [161, 82, 199, 92]}, {\"cell\": \"0\", \"bbox\": [306, 82, 312, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [456, 80, 477, 92]}, {\"cell\": \"YMRS-10 (appearance)\", \"bbox\": [1, 96, 74, 106]}, {\"cell\": \"0.05 ± 0.22\", \"bbox\": [161, 96, 199, 106]}, {\"cell\": \"0\", \"bbox\": [306, 96, 312, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [456, 94, 477, 106]}, {\"cell\": \"Total score of YMRS\", \"bbox\": [1, 110, 66, 120]}, {\"cell\": \"1.81 ± 1.94\", \"bbox\": [161, 110, 199, 120]}, {\"cell\": \"0.16 ± 0.49\", \"bbox\": [306, 110, 343, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [456, 108, 482, 120]}, {\"cell\": \"HAMA-5 (cognitive function)\", \"bbox\": [1, 124, 94, 134]}, {\"cell\": \"1.90 ± 0.53\", \"bbox\": [161, 124, 199, 134]}, {\"cell\": \"1.54 ± 0.83\", \"bbox\": [306, 124, 343, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [456, 122, 480, 134]}, {\"cell\": \"HAMA-6 (depressed mood)\", \"bbox\": [1, 138, 90, 148]}, {\"cell\": \"2.05 ± 1.06\", \"bbox\": [161, 138, 199, 148]}, {\"cell\": \"1.46 ± 0.86\", \"bbox\": [306, 138, 343, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [456, 136, 480, 148]}, {\"cell\": \"HAMA-8 (sensory symptoms)\", \"bbox\": [1, 152, 95, 162]}, {\"cell\": \"0.67 ± 1.00\", \"bbox\": [161, 152, 199, 162]}, {\"cell\": \"1.35 ± 1.24\", \"bbox\": [306, 152, 343, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [456, 150, 484, 162]}, {\"cell\": \"HAMA-13 (ANS symptoms)\", \"bbox\": [1, 166, 89, 176]}, {\"cell\": \"1.14 ± 0.65\", \"bbox\": [161, 166, 199, 176]}, {\"cell\": \"1.46 ± 0.89\", \"bbox\": [306, 166, 343, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [456, 164, 482, 176]}, {\"cell\": \"HAMA-14 (performance)\", \"bbox\": [1, 180, 80, 190]}, {\"cell\": \"1.57 ± 0.67\", \"bbox\": [161, 180, 199, 190]}, {\"cell\": \"1.97 ± 0.49\", \"bbox\": [306, 180, 343, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [456, 178, 484, 190]}, {\"cell\": \"Somatic anxiety factor\", \"bbox\": [1, 194, 74, 204]}, {\"cell\": \"4.14 ± 3.82\", \"bbox\": [161, 194, 199, 204]}, {\"cell\": \"5.76 ± 3.46\", \"bbox\": [306, 194, 343, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [456, 192, 482, 204]}, {\"cell\": \"Total score of YBOCS\", \"bbox\": [1, 208, 70, 218]}, {\"cell\": \"22.50 ± 4.95\", \"bbox\": [161, 208, 202, 218]}, {\"cell\": \"19.22 ± 2.95\", \"bbox\": [306, 208, 347, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [456, 206, 477, 218]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5655950_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Pat. No.AgeGenderHistologyGenetic TestingPretreatment
[EMPTY_CELL]34FGBMGMT meth, mIDH1R132H+TMZ 7/14, WBXRT, reS, CCNU/VM26
[EMPTY_CELL]43FGBMGMT unmeth, mIDH1R132H−pS, IFXRT, Enza, TMZ 7/14, CCNU/VM26
[EMPTY_CELL]43MGBn.d.pS, IFXRT, TMZ, reS, TMZ 7/14
[EMPTY_CELL]46MGBMGMT meth, mIDH1R132H−PC, CCNU, TMZ-IFXRT
[EMPTY_CELL]58MGBMGMT unmeth, mIDH1R132H−WBXRT, CCNU/TMZ
[EMPTY_CELL]63FGBMGMT unmeth, mIDH1R132H−pS, TMZ-IFXRT, TMZ, reS, TMZ 7/14, CCNU/VM26
[EMPTY_CELL]65FGBMGMT unmeth, mIDH1R132H−TMZ-IFXRT, TMZ
[EMPTY_CELL]54MAAMGMT ic, mIDH1R132H−TMZ, TMZ-IFXRT, CCNU/VM26
[EMPTY_CELL]70MAAmIDH1R132H−TMZ 7/14, PC, IFXRT
[EMPTY_CELL]51MAOn.d.TMZ, TMZ 7/14, TMZ-IFXRT, CCNU
[EMPTY_CELL]27FAmIDH1R132H+IFXRT, TMZ, CCNU
[EMPTY_CELL]37FAmIDH1R132H−IFXRT, TMZ 7/14, TMZ-IFXRT
[EMPTY_CELL]42MAmIDH1R132H−, no 1p/19q codeletionpS, TMZ, TMZ-IFXRT, CCNU/VP16
[EMPTY_CELL]42MAn.d.TMZ, PC, WBXRT
[EMPTY_CELL]53FAn.d.pS, TMZ-IFXRT, TMZ 7/14
[EMPTY_CELL]60FAn.d.pS, TMZ, TMZ 7/14, WBXRT
[EMPTY_CELL]67MAMGMT ic, mIDH1R132H−, no 1p/19q codeletionIFXRT, PCV
\", \"cells\": [{\"cell\": \"Pat. No.\", \"bbox\": [5, 4, 31, 12]}, {\"cell\": \"Age\", \"bbox\": [38, 4, 52, 12]}, {\"cell\": \"Gender\", \"bbox\": [61, 4, 85, 12]}, {\"cell\": \"Histology\", \"bbox\": [93, 4, 124, 12]}, {\"cell\": \"Genetic Testing\", \"bbox\": [175, 4, 223, 12]}, {\"cell\": \"Pretreatment\", \"bbox\": [335, 4, 375, 12]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 15, 21, 24]}, {\"cell\": \"34\", \"bbox\": [41, 15, 50, 24]}, {\"cell\": \"F\", \"bbox\": [70, 15, 76, 24]}, {\"cell\": \"GB\", \"bbox\": [100, 15, 111, 24]}, {\"cell\": \"MGMT meth, mIDH1R132H+\", \"bbox\": [155, 15, 243, 24]}, {\"cell\": \"TMZ 7/14, WBXRT, reS, CCNU/VM26\", \"bbox\": [298, 15, 413, 24]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 23, 21, 32]}, {\"cell\": \"43\", \"bbox\": [41, 23, 50, 32]}, {\"cell\": \"F\", \"bbox\": [70, 23, 76, 32]}, {\"cell\": \"GB\", \"bbox\": [100, 23, 111, 32]}, {\"cell\": \"MGMT unmeth, mIDH1R132H−\", \"bbox\": [150, 23, 248, 32]}, {\"cell\": \"pS, IFXRT, Enza, TMZ 7/14, CCNU/VM26\", \"bbox\": [292, 23, 418, 32]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 31, 21, 40]}, {\"cell\": \"43\", \"bbox\": [41, 31, 50, 40]}, {\"cell\": \"M\", \"bbox\": [69, 31, 77, 40]}, {\"cell\": \"GB\", \"bbox\": [100, 31, 111, 40]}, {\"cell\": \"n.d.\", \"bbox\": [192, 31, 205, 40]}, {\"cell\": \"pS, IFXRT, TMZ, reS, TMZ 7/14\", \"bbox\": [308, 31, 402, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 39, 21, 48]}, {\"cell\": \"46\", \"bbox\": [41, 39, 50, 48]}, {\"cell\": \"M\", \"bbox\": [69, 39, 77, 48]}, {\"cell\": \"GB\", \"bbox\": [100, 39, 111, 48]}, {\"cell\": \"MGMT meth, mIDH1R132H−\", \"bbox\": [154, 39, 244, 48]}, {\"cell\": \"PC, CCNU, TMZ-IFXRT\", \"bbox\": [319, 39, 391, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 47, 21, 56]}, {\"cell\": \"58\", \"bbox\": [41, 47, 50, 56]}, {\"cell\": \"M\", \"bbox\": [69, 47, 77, 56]}, {\"cell\": \"GB\", \"bbox\": [100, 47, 111, 56]}, {\"cell\": \"MGMT unmeth, mIDH1R132H−\", \"bbox\": [150, 47, 248, 56]}, {\"cell\": \"WBXRT, CCNU/TMZ\", \"bbox\": [322, 47, 388, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 55, 21, 64]}, {\"cell\": \"63\", \"bbox\": [41, 55, 50, 64]}, {\"cell\": \"F\", \"bbox\": [70, 55, 76, 64]}, {\"cell\": \"GB\", \"bbox\": [100, 55, 111, 64]}, {\"cell\": \"MGMT unmeth, mIDH1R132H−\", \"bbox\": [150, 55, 248, 64]}, {\"cell\": \"pS, TMZ-IFXRT, TMZ, reS, TMZ 7/14, CCNU/VM26\", \"bbox\": [279, 55, 431, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 63, 21, 72]}, {\"cell\": \"65\", \"bbox\": [41, 63, 50, 72]}, {\"cell\": \"F\", \"bbox\": [70, 63, 76, 72]}, {\"cell\": \"GB\", \"bbox\": [100, 63, 111, 72]}, {\"cell\": \"MGMT unmeth, mIDH1R132H−\", \"bbox\": [150, 63, 248, 72]}, {\"cell\": \"TMZ-IFXRT, TMZ\", \"bbox\": [328, 63, 382, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 71, 21, 80]}, {\"cell\": \"54\", \"bbox\": [41, 71, 50, 80]}, {\"cell\": \"M\", \"bbox\": [69, 71, 77, 80]}, {\"cell\": \"AA\", \"bbox\": [100, 71, 112, 80]}, {\"cell\": \"MGMT ic, mIDH1R132H−\", \"bbox\": [159, 71, 239, 80]}, {\"cell\": \"TMZ, TMZ-IFXRT, CCNU/VM26\", \"bbox\": [306, 71, 405, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 79, 21, 88]}, {\"cell\": \"70\", \"bbox\": [41, 79, 50, 88]}, {\"cell\": \"M\", \"bbox\": [69, 79, 77, 88]}, {\"cell\": \"AA\", \"bbox\": [100, 79, 112, 88]}, {\"cell\": \"mIDH1R132H−\", \"bbox\": [174, 79, 223, 88]}, {\"cell\": \"TMZ 7/14, PC, IFXRT\", \"bbox\": [322, 79, 388, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 88, 22, 96]}, {\"cell\": \"51\", \"bbox\": [41, 88, 50, 96]}, {\"cell\": \"M\", \"bbox\": [69, 88, 77, 96]}, {\"cell\": \"AO\", \"bbox\": [100, 88, 112, 96]}, {\"cell\": \"n.d.\", \"bbox\": [192, 88, 205, 96]}, {\"cell\": \"TMZ, TMZ 7/14, TMZ-IFXRT, CCNU\", \"bbox\": [300, 88, 411, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 96, 22, 104]}, {\"cell\": \"27\", \"bbox\": [41, 96, 50, 104]}, {\"cell\": \"F\", \"bbox\": [70, 96, 76, 104]}, {\"cell\": \"A\", \"bbox\": [102, 96, 109, 104]}, {\"cell\": \"mIDH1R132H+\", \"bbox\": [175, 96, 223, 104]}, {\"cell\": \"IFXRT, TMZ, CCNU\", \"bbox\": [325, 96, 386, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 104, 22, 112]}, {\"cell\": \"37\", \"bbox\": [41, 104, 50, 112]}, {\"cell\": \"F\", \"bbox\": [70, 104, 76, 112]}, {\"cell\": \"A\", \"bbox\": [102, 104, 109, 112]}, {\"cell\": \"mIDH1R132H−\", \"bbox\": [174, 104, 223, 112]}, {\"cell\": \"IFXRT, TMZ 7/14, TMZ-IFXRT\", \"bbox\": [309, 104, 401, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 112, 22, 120]}, {\"cell\": \"42\", \"bbox\": [41, 112, 50, 120]}, {\"cell\": \"M\", \"bbox\": [69, 112, 77, 120]}, {\"cell\": \"A\", \"bbox\": [102, 112, 109, 120]}, {\"cell\": \"mIDH1R132H−, no 1p/19q codeletion\", \"bbox\": [142, 112, 256, 120]}, {\"cell\": \"pS, TMZ, TMZ-IFXRT, CCNU/VP16\", \"bbox\": [302, 112, 409, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 120, 22, 128]}, {\"cell\": \"42\", \"bbox\": [41, 120, 50, 128]}, {\"cell\": \"M\", \"bbox\": [69, 120, 77, 128]}, {\"cell\": \"A\", \"bbox\": [102, 120, 109, 128]}, {\"cell\": \"n.d.\", \"bbox\": [192, 120, 205, 128]}, {\"cell\": \"TMZ, PC, WBXRT\", \"bbox\": [328, 120, 383, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 128, 22, 136]}, {\"cell\": \"53\", \"bbox\": [41, 128, 50, 136]}, {\"cell\": \"F\", \"bbox\": [70, 128, 76, 136]}, {\"cell\": \"A\", \"bbox\": [102, 128, 109, 136]}, {\"cell\": \"n.d.\", \"bbox\": [192, 128, 205, 136]}, {\"cell\": \"pS, TMZ-IFXRT, TMZ 7/14\", \"bbox\": [315, 128, 395, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 136, 22, 144]}, {\"cell\": \"60\", \"bbox\": [41, 136, 50, 144]}, {\"cell\": \"F\", \"bbox\": [70, 136, 76, 144]}, {\"cell\": \"A\", \"bbox\": [102, 136, 109, 144]}, {\"cell\": \"n.d.\", \"bbox\": [192, 136, 205, 144]}, {\"cell\": \"pS, TMZ, TMZ 7/14, WBXRT\", \"bbox\": [312, 136, 399, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 144, 22, 152]}, {\"cell\": \"67\", \"bbox\": [41, 144, 50, 152]}, {\"cell\": \"M\", \"bbox\": [69, 144, 77, 152]}, {\"cell\": \"A\", \"bbox\": [102, 144, 109, 152]}, {\"cell\": \"MGMT ic, mIDH1R132H−, no 1p/19q codeletion\", \"bbox\": [126, 144, 272, 152]}, {\"cell\": \"IFXRT, PCV\", \"bbox\": [337, 144, 373, 152]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5412312_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VIVIsVIvbiasstdevRMSE
NDVI0.11(histogram)0.82(histogram)0.13[EMPTY_CELL]0.19
NDVI-0.14(minimum)0.91(maximum)0.11[EMPTY_CELL]0.17
NDVI0.11(histogram)0.91(maximum)0.04[EMPTY_CELL]0.13
NDVI0.15(global)0.90(global)0.04[EMPTY_CELL]0.13
NDVI0.08(in situ)0.98(in situ)0.00[EMPTY_CELL]0.13
GVI-0.34(minimum)0.41(maximum)-0.11[EMPTY_CELL]0.16
GVI-0.16(histogram)0.41(maximum)-0.25[EMPTY_CELL]0.27
GVI-0.33(in situ)0.28(in situ)0.00[EMPTY_CELL]0.11
VARIgreen-0.36(minimum)0.54(maximum)-0.04[EMPTY_CELL]0.08
VARIgreen-0.31(histogram)0.54(maximum)-0.06[EMPTY_CELL]0.10
VARIgreen-0.38(in situ)0.50(in situ)0.00[EMPTY_CELL]0.08
GBVI-0.45(minimum)0.49(maximum)-0.08[EMPTY_CELL]0.13
GBVI-0.24(histogram)0.49(maximum)-0.20[EMPTY_CELL]0.22
GBVI-0.44(in situ)0.38(in situ)0.00[EMPTY_CELL]0.11
\", \"cells\": [{\"cell\": \"VI\", \"bbox\": [25, 5, 40, 21]}, {\"cell\": \"VIs\", \"bbox\": [112, 5, 132, 21]}, {\"cell\": \"VIv\", \"bbox\": [232, 5, 253, 21]}, {\"cell\": \"bias\", \"bbox\": [321, 5, 344, 21]}, {\"cell\": \"stdev\", \"bbox\": [378, 5, 407, 21]}, {\"cell\": \"RMSE\", \"bbox\": [434, 5, 471, 21]}, {\"cell\": \"NDVI\", \"bbox\": [16, 27, 48, 43]}, {\"cell\": \"0.11(histogram)\", \"bbox\": [93, 20, 152, 50]}, {\"cell\": \"0.82(histogram)\", \"bbox\": [213, 20, 272, 50]}, {\"cell\": \"0.13\", \"bbox\": [321, 27, 344, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [381, 27, 404, 43]}, {\"cell\": \"0.19\", \"bbox\": [441, 27, 464, 43]}, {\"cell\": \"NDVI\", \"bbox\": [16, 56, 48, 71]}, {\"cell\": \"-0.14(minimum)\", \"bbox\": [95, 49, 150, 78]}, {\"cell\": \"0.91(maximum)\", \"bbox\": [214, 49, 271, 78]}, {\"cell\": \"0.11\", \"bbox\": [321, 56, 344, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [381, 56, 404, 71]}, {\"cell\": \"0.17\", \"bbox\": [441, 56, 464, 71]}, {\"cell\": \"NDVI\", \"bbox\": [16, 85, 48, 100]}, {\"cell\": \"0.11(histogram)\", \"bbox\": [93, 78, 152, 107]}, {\"cell\": \"0.91(maximum)\", \"bbox\": [214, 78, 271, 107]}, {\"cell\": \"0.04\", \"bbox\": [321, 85, 344, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [381, 85, 404, 100]}, {\"cell\": \"0.13\", \"bbox\": [441, 85, 464, 100]}, {\"cell\": \"NDVI\", \"bbox\": [16, 113, 48, 129]}, {\"cell\": \"0.15(global)\", \"bbox\": [102, 106, 143, 136]}, {\"cell\": \"0.90(global)\", \"bbox\": [222, 106, 263, 136]}, {\"cell\": \"0.04\", \"bbox\": [321, 113, 344, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [381, 113, 404, 129]}, {\"cell\": \"0.13\", \"bbox\": [441, 113, 464, 129]}, {\"cell\": \"NDVI\", \"bbox\": [16, 142, 48, 157]}, {\"cell\": \"0.08(in situ)\", \"bbox\": [103, 135, 142, 164]}, {\"cell\": \"0.98(in situ)\", \"bbox\": [223, 135, 262, 164]}, {\"cell\": \"0.00\", \"bbox\": [321, 142, 344, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [381, 142, 404, 157]}, {\"cell\": \"0.13\", \"bbox\": [441, 142, 464, 157]}, {\"cell\": \"GVI\", \"bbox\": [21, 171, 44, 186]}, {\"cell\": \"-0.34(minimum)\", \"bbox\": [95, 164, 150, 193]}, {\"cell\": \"0.41(maximum)\", \"bbox\": [214, 164, 271, 193]}, {\"cell\": \"-0.11\", \"bbox\": [319, 171, 346, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [381, 171, 404, 186]}, {\"cell\": \"0.16\", \"bbox\": [441, 171, 464, 186]}, {\"cell\": \"GVI\", \"bbox\": [21, 200, 44, 215]}, {\"cell\": \"-0.16(histogram)\", \"bbox\": [93, 193, 152, 222]}, {\"cell\": \"0.41(maximum)\", \"bbox\": [214, 193, 271, 222]}, {\"cell\": \"-0.25\", \"bbox\": [319, 200, 346, 215]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [381, 200, 404, 215]}, {\"cell\": \"0.27\", \"bbox\": [441, 200, 464, 215]}, {\"cell\": \"GVI\", \"bbox\": [21, 228, 44, 244]}, {\"cell\": \"-0.33(in situ)\", \"bbox\": [103, 221, 142, 251]}, {\"cell\": \"0.28(in situ)\", \"bbox\": [223, 221, 262, 251]}, {\"cell\": \"0.00\", \"bbox\": [321, 228, 344, 244]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [381, 228, 404, 244]}, {\"cell\": \"0.11\", \"bbox\": [441, 228, 464, 244]}, {\"cell\": \"VARIgreen\", \"bbox\": [3, 257, 61, 273]}, {\"cell\": \"-0.36(minimum)\", \"bbox\": [95, 250, 150, 280]}, {\"cell\": \"0.54(maximum)\", \"bbox\": [214, 250, 271, 280]}, {\"cell\": \"-0.04\", \"bbox\": [319, 257, 346, 273]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [381, 257, 404, 273]}, {\"cell\": \"0.08\", \"bbox\": [441, 257, 464, 273]}, {\"cell\": \"VARIgreen\", \"bbox\": [3, 286, 61, 301]}, {\"cell\": \"-0.31(histogram)\", \"bbox\": [93, 279, 152, 308]}, {\"cell\": \"0.54(maximum)\", \"bbox\": [214, 279, 271, 308]}, {\"cell\": \"-0.06\", \"bbox\": [319, 286, 346, 301]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [381, 286, 404, 301]}, {\"cell\": \"0.10\", \"bbox\": [441, 286, 464, 301]}, {\"cell\": \"VARIgreen\", \"bbox\": [3, 315, 61, 330]}, {\"cell\": \"-0.38(in situ)\", \"bbox\": [102, 308, 142, 337]}, {\"cell\": \"0.50(in situ)\", \"bbox\": [222, 308, 262, 337]}, {\"cell\": \"0.00\", \"bbox\": [321, 315, 344, 330]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [381, 315, 404, 330]}, {\"cell\": \"0.08\", \"bbox\": [441, 315, 464, 330]}, {\"cell\": \"GBVI\", \"bbox\": [17, 344, 48, 359]}, {\"cell\": \"-0.45(minimum)\", \"bbox\": [95, 337, 150, 366]}, {\"cell\": \"0.49(maximum)\", \"bbox\": [214, 337, 271, 366]}, {\"cell\": \"-0.08\", \"bbox\": [319, 344, 346, 359]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [381, 344, 404, 359]}, {\"cell\": \"0.13\", \"bbox\": [441, 344, 464, 359]}, {\"cell\": \"GBVI\", \"bbox\": [17, 372, 48, 388]}, {\"cell\": \"-0.24(histogram)\", \"bbox\": [93, 365, 152, 395]}, {\"cell\": \"0.49(maximum)\", \"bbox\": [214, 365, 271, 395]}, {\"cell\": \"-0.20\", \"bbox\": [319, 372, 346, 388]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [381, 372, 404, 388]}, {\"cell\": \"0.22\", \"bbox\": [441, 372, 464, 388]}, {\"cell\": \"GBVI\", \"bbox\": [17, 401, 48, 416]}, {\"cell\": \"-0.44(in situ)\", \"bbox\": [102, 394, 142, 423]}, {\"cell\": \"0.38(in situ)\", \"bbox\": [222, 394, 262, 423]}, {\"cell\": \"0.00\", \"bbox\": [321, 401, 344, 416]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [381, 401, 404, 416]}, {\"cell\": \"0.11\", \"bbox\": [441, 401, 464, 416]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3280830_013_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
FARMS targetEstimateSEt valuePr(>|t|)Significancea
Intercept−7.73E+012.51E+02[EMPTY_CELL]0.759395[EMPTY_CELL]
ACVR2A−7.76E−025.97E−03[EMPTY_CELL]<2.E−16***
BMP2−6.18E−013.59E−02[EMPTY_CELL]<2.E−16***
BMP31.26E−011.78E−02[EMPTY_CELL]2.93E−09***
CCL13_hu4.51E−023.75E−03[EMPTY_CELL]<2.E−16***
CCL13_X−8.38E−022.89E−02[EMPTY_CELL]0.005339**
CCL201.81E−025.28E−03[EMPTY_CELL]0.001163**
CCL211.88E−029.03E−03[EMPTY_CELL]0.042505*
CLEC11A−6.96E−024.56E−03[EMPTY_CELL]<2.E−16***
CNTNAP1−5.49E−012.84E−02[EMPTY_CELL]<2.E−16***
COL18A1−3.39E−012.65E−02[EMPTY_CELL]<2.E−16***
CSF1−1.11E−023.56E−03[EMPTY_CELL]0.002820**
CST3−1.07E−023.47E−03[EMPTY_CELL]0.003287**
CTF1−3.50E−028.50E−03[EMPTY_CELL]0.000138***
CXCL165.31E−013.73E−02[EMPTY_CELL]<2.E−16***
FGF174.23E−024.06E−03[EMPTY_CELL]1.95E−14***
FGF3_hu2.22E−014.81E−02[EMPTY_CELL]2.52E−05***
FTL_hu−2.75E−026.59E−03[EMPTY_CELL]0.000111***
GRN_X3.59E−013.02E−02[EMPTY_CELL]<2.E−16***
HCRT6.85E−024.42E−03[EMPTY_CELL]<2.E−16***
ICAM22.76E−023.57E−03[EMPTY_CELL]3.00E−10***
IL-12A6.05E−021.99E−02[EMPTY_CELL]0.003665**
IL-17D−2.49E−025.40E−03[EMPTY_CELL]2.54E−05***
LTA6.29E+003.26E−01[EMPTY_CELL]<2.E−16***
MMP25−5.85E−019.19E−02[EMPTY_CELL]4.69E−08***
NGFR−8.52E−034.98E−03[EMPTY_CELL]0.093029·
NLGN1_hu−4.77E−012.24E−01[EMPTY_CELL]0.038236*
NLGN1_X−1.19E−014.10E−02[EMPTY_CELL]0.005486**
NLGN4X1.26E−012.50E−02[EMPTY_CELL]5.58E−06***
NOG_hu−9.37E−014.56E−02[EMPTY_CELL]<2.E−16***
NOG_X−4.50E−011.34E−01[EMPTY_CELL]0.001469**
NPY_X3.47E+002.24E−01[EMPTY_CELL]<2.E−16***
NRG1_hu7.93E−028.80E−03[EMPTY_CELL]2.80E−12***
SERPING11.02E−018.17E−03[EMPTY_CELL]<2.E−16***
SIGIRR3.24E−024.02E−03[EMPTY_CELL]8.65E−11***
SLC2A1−2.15E−012.08E−02[EMPTY_CELL]2.30E−14***
SORL1_hu1.08E+001.86E−01[EMPTY_CELL]3.82E−07***
SPARC_hu1−5.85E−028.72E−03[EMPTY_CELL]1.31E−08***
SPARC_hu2−5.92E−018.40E−02[EMPTY_CELL]3.84E−09***
THBS42.05E−013.93E−02[EMPTY_CELL]2.98E−06***
TIE1−6.15E−028.83E−03[EMPTY_CELL]5.22E−09***
VEGFC−1.39E+009.69E−02[EMPTY_CELL]<2.E−16***
WIF11.74E−011.44E−02[EMPTY_CELL]<2.E−16***
\", \"cells\": [{\"cell\": \"FARMS target\", \"bbox\": [1, 5, 51, 15]}, {\"cell\": \"Estimate\", \"bbox\": [69, 5, 101, 15]}, {\"cell\": \"SE\", \"bbox\": [129, 5, 139, 15]}, {\"cell\": \"t value\", \"bbox\": [182, 5, 208, 15]}, {\"cell\": \"Pr(>|t|)\", \"bbox\": [231, 5, 258, 15]}, {\"cell\": \"Significancea\", \"bbox\": [284, 5, 331, 15]}, {\"cell\": \"Intercept\", \"bbox\": [1, 16, 33, 26]}, {\"cell\": \"−7.73E+01\", \"bbox\": [69, 16, 111, 26]}, {\"cell\": \"2.51E+02\", \"bbox\": [129, 16, 163, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 16, 208, 26]}, {\"cell\": \"0.759395\", \"bbox\": [231, 16, 263, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"ACVR2A\", \"bbox\": [1, 26, 30, 35]}, {\"cell\": \"−7.76E−02\", \"bbox\": [69, 26, 111, 35]}, {\"cell\": \"5.97E−03\", \"bbox\": [129, 26, 163, 35]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 26, 213, 35]}, {\"cell\": \"<2.E−16\", \"bbox\": [231, 26, 264, 35]}, {\"cell\": \"***\", \"bbox\": [284, 26, 295, 34]}, {\"cell\": \"BMP2\", \"bbox\": [1, 35, 22, 45]}, {\"cell\": \"−6.18E−01\", \"bbox\": [69, 35, 111, 45]}, {\"cell\": \"3.59E−02\", \"bbox\": [129, 35, 163, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 35, 213, 45]}, {\"cell\": \"<2.E−16\", \"bbox\": [231, 35, 264, 45]}, {\"cell\": \"***\", \"bbox\": [284, 35, 295, 43]}, {\"cell\": \"BMP3\", \"bbox\": [1, 45, 22, 54]}, {\"cell\": \"1.26E−01\", \"bbox\": [69, 45, 104, 54]}, {\"cell\": \"1.78E−02\", \"bbox\": [129, 45, 163, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 45, 202, 54]}, {\"cell\": \"2.93E−09\", \"bbox\": [231, 45, 265, 54]}, {\"cell\": \"***\", \"bbox\": [284, 45, 295, 53]}, {\"cell\": \"CCL13_hu\", \"bbox\": [1, 54, 37, 64]}, {\"cell\": \"4.51E−02\", \"bbox\": [69, 54, 104, 64]}, {\"cell\": \"3.75E−03\", \"bbox\": [129, 54, 163, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 54, 206, 64]}, {\"cell\": \"<2.E−16\", \"bbox\": [231, 54, 264, 64]}, {\"cell\": \"***\", \"bbox\": [284, 54, 295, 62]}, {\"cell\": \"CCL13_X\", \"bbox\": [1, 64, 32, 73]}, {\"cell\": \"−8.38E−02\", \"bbox\": [69, 64, 111, 73]}, {\"cell\": \"2.89E−02\", \"bbox\": [129, 64, 163, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 64, 208, 73]}, {\"cell\": \"0.005339\", \"bbox\": [231, 64, 263, 73]}, {\"cell\": \"**\", \"bbox\": [284, 64, 292, 72]}, {\"cell\": \"CCL20\", \"bbox\": [1, 73, 24, 83]}, {\"cell\": \"1.81E−02\", \"bbox\": [69, 73, 104, 83]}, {\"cell\": \"5.28E−03\", \"bbox\": [129, 73, 163, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 73, 202, 83]}, {\"cell\": \"0.001163\", \"bbox\": [231, 73, 263, 83]}, {\"cell\": \"**\", \"bbox\": [284, 73, 292, 81]}, {\"cell\": \"CCL21\", \"bbox\": [1, 83, 24, 92]}, {\"cell\": \"1.88E−02\", \"bbox\": [69, 83, 104, 92]}, {\"cell\": \"9.03E−03\", \"bbox\": [129, 83, 163, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 83, 202, 92]}, {\"cell\": \"0.042505\", \"bbox\": [231, 83, 263, 92]}, {\"cell\": \"*\", \"bbox\": [284, 83, 289, 91]}, {\"cell\": \"CLEC11A\", \"bbox\": [1, 92, 33, 102]}, {\"cell\": \"−6.96E−02\", \"bbox\": [69, 92, 111, 102]}, {\"cell\": \"4.56E−03\", \"bbox\": [129, 92, 163, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 92, 213, 102]}, {\"cell\": \"<2.E−16\", \"bbox\": [231, 92, 264, 102]}, {\"cell\": \"***\", \"bbox\": [284, 92, 295, 100]}, {\"cell\": \"CNTNAP1\", \"bbox\": [1, 102, 35, 111]}, {\"cell\": \"−5.49E−01\", \"bbox\": [69, 102, 111, 111]}, {\"cell\": \"2.84E−02\", \"bbox\": [129, 102, 163, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 102, 213, 111]}, {\"cell\": \"<2.E−16\", \"bbox\": [231, 102, 264, 111]}, {\"cell\": \"***\", \"bbox\": [284, 102, 295, 110]}, {\"cell\": \"COL18A1\", \"bbox\": [1, 111, 34, 121]}, {\"cell\": \"−3.39E−01\", \"bbox\": [69, 111, 111, 121]}, {\"cell\": \"2.65E−02\", \"bbox\": [129, 111, 163, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 111, 213, 121]}, {\"cell\": \"<2.E−16\", \"bbox\": [231, 111, 264, 121]}, {\"cell\": \"***\", \"bbox\": [284, 111, 295, 119]}, {\"cell\": \"CSF1\", \"bbox\": [1, 121, 19, 130]}, {\"cell\": \"−1.11E−02\", \"bbox\": [69, 121, 111, 130]}, {\"cell\": \"3.56E−03\", \"bbox\": [129, 121, 163, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 121, 208, 130]}, {\"cell\": \"0.002820\", \"bbox\": [231, 121, 263, 130]}, {\"cell\": \"**\", \"bbox\": [284, 121, 292, 129]}, {\"cell\": \"CST3\", \"bbox\": [1, 130, 19, 140]}, {\"cell\": \"−1.07E−02\", \"bbox\": [69, 130, 111, 140]}, {\"cell\": \"3.47E−03\", \"bbox\": [129, 130, 163, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 130, 208, 140]}, {\"cell\": \"0.003287\", \"bbox\": [231, 130, 263, 140]}, {\"cell\": \"**\", \"bbox\": [284, 130, 292, 138]}, {\"cell\": \"CTF1\", \"bbox\": [1, 140, 19, 149]}, {\"cell\": \"−3.50E−02\", \"bbox\": [69, 140, 111, 149]}, {\"cell\": \"8.50E−03\", \"bbox\": [129, 140, 163, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 140, 208, 149]}, {\"cell\": \"0.000138\", \"bbox\": [231, 140, 263, 149]}, {\"cell\": \"***\", \"bbox\": [284, 140, 295, 148]}, {\"cell\": \"CXCL16\", \"bbox\": [1, 149, 28, 159]}, {\"cell\": \"5.31E−01\", \"bbox\": [69, 149, 104, 159]}, {\"cell\": \"3.73E−02\", \"bbox\": [129, 149, 163, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 149, 206, 159]}, {\"cell\": \"<2.E−16\", \"bbox\": [231, 149, 264, 159]}, {\"cell\": \"***\", \"bbox\": [284, 149, 295, 157]}, {\"cell\": \"FGF17\", \"bbox\": [1, 159, 24, 168]}, {\"cell\": \"4.23E−02\", \"bbox\": [69, 159, 104, 168]}, {\"cell\": \"4.06E−03\", \"bbox\": [129, 159, 163, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 159, 206, 168]}, {\"cell\": \"1.95E−14\", \"bbox\": [231, 159, 265, 168]}, {\"cell\": \"***\", \"bbox\": [284, 159, 295, 167]}, {\"cell\": \"FGF3_hu\", \"bbox\": [1, 168, 32, 178]}, {\"cell\": \"2.22E−01\", \"bbox\": [69, 168, 104, 178]}, {\"cell\": \"4.81E−02\", \"bbox\": [129, 168, 163, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 168, 202, 178]}, {\"cell\": \"2.52E−05\", \"bbox\": [231, 168, 265, 178]}, {\"cell\": \"***\", \"bbox\": [284, 168, 295, 176]}, {\"cell\": \"FTL_hu\", \"bbox\": [1, 178, 27, 187]}, {\"cell\": \"−2.75E−02\", \"bbox\": [69, 178, 111, 187]}, {\"cell\": \"6.59E−03\", \"bbox\": [129, 178, 163, 187]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 178, 208, 187]}, {\"cell\": \"0.000111\", \"bbox\": [231, 178, 263, 187]}, {\"cell\": \"***\", \"bbox\": [284, 178, 295, 186]}, {\"cell\": \"GRN_X\", \"bbox\": [1, 187, 26, 197]}, {\"cell\": \"3.59E−01\", \"bbox\": [69, 187, 104, 197]}, {\"cell\": \"3.02E−02\", \"bbox\": [129, 187, 163, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 187, 206, 197]}, {\"cell\": \"<2.E−16\", \"bbox\": [231, 187, 264, 197]}, {\"cell\": \"***\", \"bbox\": [284, 187, 295, 195]}, {\"cell\": \"HCRT\", \"bbox\": [1, 197, 21, 206]}, {\"cell\": \"6.85E−02\", \"bbox\": [69, 197, 104, 206]}, {\"cell\": \"4.42E−03\", \"bbox\": [129, 197, 163, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 197, 206, 206]}, {\"cell\": \"<2.E−16\", \"bbox\": [231, 197, 264, 206]}, {\"cell\": \"***\", \"bbox\": [284, 197, 295, 205]}, {\"cell\": \"ICAM2\", \"bbox\": [1, 206, 24, 216]}, {\"cell\": \"2.76E−02\", \"bbox\": [69, 206, 104, 216]}, {\"cell\": \"3.57E−03\", \"bbox\": [129, 206, 163, 216]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 206, 202, 216]}, {\"cell\": \"3.00E−10\", \"bbox\": [231, 206, 265, 216]}, {\"cell\": \"***\", \"bbox\": [284, 206, 295, 214]}, {\"cell\": \"IL-12A\", \"bbox\": [1, 216, 24, 225]}, {\"cell\": \"6.05E−02\", \"bbox\": [69, 216, 104, 225]}, {\"cell\": \"1.99E−02\", \"bbox\": [129, 216, 163, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 216, 202, 225]}, {\"cell\": \"0.003665\", \"bbox\": [231, 216, 263, 225]}, {\"cell\": \"**\", \"bbox\": [284, 216, 292, 224]}, {\"cell\": \"IL-17D\", \"bbox\": [0, 225, 24, 235]}, {\"cell\": \"−2.49E−02\", \"bbox\": [69, 225, 111, 235]}, {\"cell\": \"5.40E−03\", \"bbox\": [129, 225, 163, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 225, 208, 235]}, {\"cell\": \"2.54E−05\", \"bbox\": [231, 225, 265, 235]}, {\"cell\": \"***\", \"bbox\": [284, 225, 295, 233]}, {\"cell\": \"LTA\", \"bbox\": [1, 235, 15, 244]}, {\"cell\": \"6.29E+00\", \"bbox\": [69, 235, 104, 244]}, {\"cell\": \"3.26E−01\", \"bbox\": [129, 235, 163, 244]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 235, 206, 244]}, {\"cell\": \"<2.E−16\", \"bbox\": [231, 235, 264, 244]}, {\"cell\": \"***\", \"bbox\": [284, 235, 295, 243]}, {\"cell\": \"MMP25\", \"bbox\": [0, 244, 28, 254]}, {\"cell\": \"−5.85E−01\", \"bbox\": [69, 244, 111, 254]}, {\"cell\": \"9.19E−02\", \"bbox\": [129, 244, 163, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 244, 208, 254]}, {\"cell\": \"4.69E−08\", \"bbox\": [231, 244, 265, 254]}, {\"cell\": \"***\", \"bbox\": [284, 244, 295, 252]}, {\"cell\": \"NGFR\", \"bbox\": [1, 254, 21, 263]}, {\"cell\": \"−8.52E−03\", \"bbox\": [69, 254, 111, 263]}, {\"cell\": \"4.98E−03\", \"bbox\": [129, 254, 163, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 254, 208, 263]}, {\"cell\": \"0.093029\", \"bbox\": [231, 254, 263, 263]}, {\"cell\": \"·\", \"bbox\": [284, 254, 287, 263]}, {\"cell\": \"NLGN1_hu\", \"bbox\": [1, 263, 39, 273]}, {\"cell\": \"−4.77E−01\", \"bbox\": [69, 263, 111, 273]}, {\"cell\": \"2.24E−01\", \"bbox\": [129, 263, 163, 273]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 263, 208, 273]}, {\"cell\": \"0.038236\", \"bbox\": [231, 263, 263, 273]}, {\"cell\": \"*\", \"bbox\": [284, 263, 289, 271]}, {\"cell\": \"NLGN1_X\", \"bbox\": [1, 273, 35, 282]}, {\"cell\": \"−1.19E−01\", \"bbox\": [69, 273, 111, 282]}, {\"cell\": \"4.10E−02\", \"bbox\": [129, 273, 163, 282]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 273, 208, 282]}, {\"cell\": \"0.005486\", \"bbox\": [231, 273, 263, 282]}, {\"cell\": \"**\", \"bbox\": [284, 273, 292, 281]}, {\"cell\": \"NLGN4X\", \"bbox\": [1, 282, 31, 292]}, {\"cell\": \"1.26E−01\", \"bbox\": [69, 282, 104, 292]}, {\"cell\": \"2.50E−02\", \"bbox\": [129, 282, 163, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 282, 202, 292]}, {\"cell\": \"5.58E−06\", \"bbox\": [231, 282, 265, 292]}, {\"cell\": \"***\", \"bbox\": [284, 282, 295, 290]}, {\"cell\": \"NOG_hu\", \"bbox\": [1, 292, 31, 301]}, {\"cell\": \"−9.37E−01\", \"bbox\": [69, 292, 111, 301]}, {\"cell\": \"4.56E−02\", \"bbox\": [129, 292, 163, 301]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 292, 213, 301]}, {\"cell\": \"<2.E−16\", \"bbox\": [231, 292, 264, 301]}, {\"cell\": \"***\", \"bbox\": [284, 292, 295, 300]}, {\"cell\": \"NOG_X\", \"bbox\": [1, 301, 27, 311]}, {\"cell\": \"−4.50E−01\", \"bbox\": [69, 301, 111, 311]}, {\"cell\": \"1.34E−01\", \"bbox\": [129, 301, 163, 311]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 301, 208, 311]}, {\"cell\": \"0.001469\", \"bbox\": [231, 301, 263, 311]}, {\"cell\": \"**\", \"bbox\": [284, 301, 292, 309]}, {\"cell\": \"NPY_X\", \"bbox\": [1, 311, 25, 320]}, {\"cell\": \"3.47E+00\", \"bbox\": [69, 311, 104, 320]}, {\"cell\": \"2.24E−01\", \"bbox\": [129, 311, 163, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 311, 206, 320]}, {\"cell\": \"<2.E−16\", \"bbox\": [231, 311, 264, 320]}, {\"cell\": \"***\", \"bbox\": [284, 311, 295, 319]}, {\"cell\": \"NRG1_hu\", \"bbox\": [1, 320, 34, 330]}, {\"cell\": \"7.93E−02\", \"bbox\": [69, 320, 104, 330]}, {\"cell\": \"8.80E−03\", \"bbox\": [129, 320, 163, 330]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 320, 202, 330]}, {\"cell\": \"2.80E−12\", \"bbox\": [231, 320, 265, 330]}, {\"cell\": \"***\", \"bbox\": [284, 320, 295, 328]}, {\"cell\": \"SERPING1\", \"bbox\": [0, 330, 35, 339]}, {\"cell\": \"1.02E−01\", \"bbox\": [69, 330, 104, 339]}, {\"cell\": \"8.17E−03\", \"bbox\": [129, 330, 163, 339]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 330, 206, 339]}, {\"cell\": \"<2.E−16\", \"bbox\": [231, 330, 264, 339]}, {\"cell\": \"***\", \"bbox\": [284, 330, 295, 338]}, {\"cell\": \"SIGIRR\", \"bbox\": [0, 339, 24, 349]}, {\"cell\": \"3.24E−02\", \"bbox\": [69, 339, 104, 349]}, {\"cell\": \"4.02E−03\", \"bbox\": [129, 339, 163, 349]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 339, 202, 349]}, {\"cell\": \"8.65E−11\", \"bbox\": [231, 339, 265, 349]}, {\"cell\": \"***\", \"bbox\": [284, 339, 295, 347]}, {\"cell\": \"SLC2A1\", \"bbox\": [0, 349, 28, 358]}, {\"cell\": \"−2.15E−01\", \"bbox\": [69, 349, 111, 358]}, {\"cell\": \"2.08E−02\", \"bbox\": [129, 349, 163, 358]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 349, 213, 358]}, {\"cell\": \"2.30E−14\", \"bbox\": [231, 349, 265, 358]}, {\"cell\": \"***\", \"bbox\": [284, 349, 295, 357]}, {\"cell\": \"SORL1_hu\", \"bbox\": [0, 358, 37, 368]}, {\"cell\": \"1.08E+00\", \"bbox\": [69, 358, 104, 368]}, {\"cell\": \"1.86E−01\", \"bbox\": [129, 358, 163, 368]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 358, 202, 368]}, {\"cell\": \"3.82E−07\", \"bbox\": [231, 358, 265, 368]}, {\"cell\": \"***\", \"bbox\": [284, 358, 295, 366]}, {\"cell\": \"SPARC_hu1\", \"bbox\": [0, 368, 41, 377]}, {\"cell\": \"−5.85E−02\", \"bbox\": [69, 368, 111, 377]}, {\"cell\": \"8.72E−03\", \"bbox\": [129, 368, 163, 377]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 368, 208, 377]}, {\"cell\": \"1.31E−08\", \"bbox\": [231, 368, 265, 377]}, {\"cell\": \"***\", \"bbox\": [284, 368, 295, 376]}, {\"cell\": \"SPARC_hu2\", \"bbox\": [0, 377, 41, 387]}, {\"cell\": \"−5.92E−01\", \"bbox\": [69, 377, 111, 387]}, {\"cell\": \"8.40E−02\", \"bbox\": [129, 377, 163, 387]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 377, 208, 387]}, {\"cell\": \"3.84E−09\", \"bbox\": [231, 377, 265, 387]}, {\"cell\": \"***\", \"bbox\": [284, 377, 295, 385]}, {\"cell\": \"THBS4\", \"bbox\": [0, 387, 24, 396]}, {\"cell\": \"2.05E−01\", \"bbox\": [69, 387, 104, 396]}, {\"cell\": \"3.93E−02\", \"bbox\": [129, 387, 163, 396]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 387, 202, 396]}, {\"cell\": \"2.98E−06\", \"bbox\": [231, 387, 265, 396]}, {\"cell\": \"***\", \"bbox\": [284, 387, 295, 395]}, {\"cell\": \"TIE1\", \"bbox\": [0, 396, 16, 406]}, {\"cell\": \"−6.15E−02\", \"bbox\": [69, 396, 111, 406]}, {\"cell\": \"8.83E−03\", \"bbox\": [129, 396, 163, 406]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 396, 208, 406]}, {\"cell\": \"5.22E−09\", \"bbox\": [231, 396, 265, 406]}, {\"cell\": \"***\", \"bbox\": [284, 396, 295, 404]}, {\"cell\": \"VEGFC\", \"bbox\": [1, 406, 25, 415]}, {\"cell\": \"−1.39E+00\", \"bbox\": [69, 406, 111, 415]}, {\"cell\": \"9.69E−02\", \"bbox\": [129, 406, 163, 415]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 406, 213, 415]}, {\"cell\": \"<2.E−16\", \"bbox\": [231, 406, 264, 415]}, {\"cell\": \"***\", \"bbox\": [284, 406, 295, 414]}, {\"cell\": \"WIF1\", \"bbox\": [1, 415, 19, 425]}, {\"cell\": \"1.74E−01\", \"bbox\": [69, 415, 104, 425]}, {\"cell\": \"1.44E−02\", \"bbox\": [129, 415, 163, 425]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 415, 206, 425]}, {\"cell\": \"<2.E−16\", \"bbox\": [231, 415, 264, 425]}, {\"cell\": \"***\", \"bbox\": [284, 415, 295, 423]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5533920_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]no NAFLD (n = 244)NAFLD (n = 251)p value
Age *54.98 (10.22)53.85 (9.83)[EMPTY_CELL]
Total testosterone (ng/mL)4.83 (3.73–5.96)3.94 (3.10–4.85)[EMPTY_CELL]
Smoking †[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
non-smoker72 (29.51)59 (23.51)[EMPTY_CELL]
ex-smoker110 (45.08)125 (49.8)[EMPTY_CELL]
current smoker62 (25.41)67 (26.69)[EMPTY_CELL]
drinking amount (g/week)21.04 (0–71.01)8.53 (0–59.7)[EMPTY_CELL]
Exercise †[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
yes193 (79.1)174 (69.32)[EMPTY_CELL]
WC (cm)85 (81–89.9)91.5 (88–95.5)[EMPTY_CELL]
BMI (kg/m2)23.56 (22.13–25.10)26.14 (24.38–27.78)[EMPTY_CELL]
VAT (cm2)106.74 (80.62–142.86)164.79 (135.97–197.95)[EMPTY_CELL]
Diabetes †[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
yes30 (12.30)68 (27.09)[EMPTY_CELL]
FBS (mg/dL)96 (90–103)101 (93–114)[EMPTY_CELL]
SBP (mmHg) *118.97 (13.02)122.44 (13.86)[EMPTY_CELL]
DBP (mmHg) *79.15 (9.81)80.83 (10.94)[EMPTY_CELL]
total cholesterol (mg/dL) *196.27 (34.46)199.79 (37.10)[EMPTY_CELL]
TGs (mg/dL)95 (71–130)140 (99–195)[EMPTY_CELL]
HDL-C (mg/dL)51 (44–59)44 (40–51)[EMPTY_CELL]
LDL-C (mg/dL) *125.51 (33.43)130.18 (33.26)[EMPTY_CELL]
Total bilirubin (mg/dL)1.1 (0.85–1.3)1.1 (0.9–1.3)[EMPTY_CELL]
ALP (IU/L)59 (49.5–69)62 (52–72)[EMPTY_CELL]
AST (IU/L)22 (19–27)26 (22–33)[EMPTY_CELL]
ALT (IU/L)22 (17–30)33 (24–49)[EMPTY_CELL]
γ-GT (IU/L)27 (20–39)34 (26–49)[EMPTY_CELL]
hs-CRP (mg/dL)0.04 (0.04–0.15)0.09 (0.03–0.2)[EMPTY_CELL]
HOMA-IR (mg/dL)1.76 (1.33–2.29)2.67 (1.96–3.48)[EMPTY_CELL]
Metabolic syndrome †[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
yes41 (16.80)130 (51.79)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"no NAFLD (n = 244)\", \"bbox\": [162, 4, 231, 13]}, {\"cell\": \"NAFLD (n = 251)\", \"bbox\": [306, 4, 363, 13]}, {\"cell\": \"p value\", \"bbox\": [453, 4, 481, 13]}, {\"cell\": \"Age *\", \"bbox\": [1, 17, 21, 27]}, {\"cell\": \"54.98 (10.22)\", \"bbox\": [162, 17, 204, 27]}, {\"cell\": \"53.85 (9.83)\", \"bbox\": [306, 17, 344, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [453, 17, 476, 27]}, {\"cell\": \"Total testosterone (ng/mL)\", \"bbox\": [1, 31, 88, 41]}, {\"cell\": \"4.83 (3.73–5.96)\", \"bbox\": [162, 31, 213, 41]}, {\"cell\": \"3.94 (3.10–4.85)\", \"bbox\": [306, 31, 357, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [453, 31, 484, 41]}, {\"cell\": \"Smoking †\", \"bbox\": [1, 45, 37, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [453, 45, 472, 55]}, {\"cell\": \"non-smoker\", \"bbox\": [1, 59, 41, 69]}, {\"cell\": \"72 (29.51)\", \"bbox\": [162, 59, 195, 69]}, {\"cell\": \"59 (23.51)\", \"bbox\": [306, 59, 339, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"ex-smoker\", \"bbox\": [1, 73, 35, 83]}, {\"cell\": \"110 (45.08)\", \"bbox\": [162, 73, 198, 83]}, {\"cell\": \"125 (49.8)\", \"bbox\": [306, 73, 338, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"current smoker\", \"bbox\": [1, 87, 51, 97]}, {\"cell\": \"62 (25.41)\", \"bbox\": [162, 87, 195, 97]}, {\"cell\": \"67 (26.69)\", \"bbox\": [306, 87, 339, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"drinking amount (g/week)\", \"bbox\": [1, 101, 86, 111]}, {\"cell\": \"21.04 (0–71.01)\", \"bbox\": [162, 101, 211, 111]}, {\"cell\": \"8.53 (0–59.7)\", \"bbox\": [306, 101, 348, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [453, 101, 476, 111]}, {\"cell\": \"Exercise †\", \"bbox\": [1, 115, 34, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [453, 115, 472, 125]}, {\"cell\": \"yes\", \"bbox\": [1, 129, 13, 139]}, {\"cell\": \"193 (79.1)\", \"bbox\": [162, 129, 195, 139]}, {\"cell\": \"174 (69.32)\", \"bbox\": [306, 129, 342, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"WC (cm)\", \"bbox\": [1, 143, 30, 153]}, {\"cell\": \"85 (81–89.9)\", \"bbox\": [162, 143, 202, 153]}, {\"cell\": \"91.5 (88–95.5)\", \"bbox\": [306, 143, 351, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [453, 143, 484, 153]}, {\"cell\": \"BMI (kg/m2)\", \"bbox\": [1, 155, 41, 167]}, {\"cell\": \"23.56 (22.13–25.10)\", \"bbox\": [162, 157, 224, 167]}, {\"cell\": \"26.14 (24.38–27.78)\", \"bbox\": [306, 157, 368, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [453, 157, 484, 167]}, {\"cell\": \"VAT (cm2)\", \"bbox\": [1, 169, 34, 181]}, {\"cell\": \"106.74 (80.62–142.86)\", \"bbox\": [162, 171, 232, 181]}, {\"cell\": \"164.79 (135.97–197.95)\", \"bbox\": [306, 171, 380, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [453, 171, 484, 181]}, {\"cell\": \"Diabetes †\", \"bbox\": [1, 185, 36, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [453, 185, 481, 195]}, {\"cell\": \"yes\", \"bbox\": [1, 199, 13, 209]}, {\"cell\": \"30 (12.30)\", \"bbox\": [162, 199, 195, 209]}, {\"cell\": \"68 (27.09)\", \"bbox\": [306, 199, 339, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"FBS (mg/dL)\", \"bbox\": [1, 213, 42, 223]}, {\"cell\": \"96 (90–103)\", \"bbox\": [162, 213, 201, 223]}, {\"cell\": \"101 (93–114)\", \"bbox\": [306, 213, 349, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [453, 213, 484, 223]}, {\"cell\": \"SBP (mmHg) *\", \"bbox\": [1, 227, 48, 237]}, {\"cell\": \"118.97 (13.02)\", \"bbox\": [162, 227, 207, 237]}, {\"cell\": \"122.44 (13.86)\", \"bbox\": [306, 227, 351, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [453, 227, 476, 237]}, {\"cell\": \"DBP (mmHg) *\", \"bbox\": [1, 241, 50, 251]}, {\"cell\": \"79.15 (9.81)\", \"bbox\": [162, 241, 200, 251]}, {\"cell\": \"80.83 (10.94)\", \"bbox\": [306, 241, 347, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [453, 241, 476, 251]}, {\"cell\": \"total cholesterol (mg/dL) *\", \"bbox\": [1, 255, 87, 265]}, {\"cell\": \"196.27 (34.46)\", \"bbox\": [162, 255, 207, 265]}, {\"cell\": \"199.79 (37.10)\", \"bbox\": [306, 255, 351, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [453, 255, 476, 265]}, {\"cell\": \"TGs (mg/dL)\", \"bbox\": [1, 269, 42, 279]}, {\"cell\": \"95 (71–130)\", \"bbox\": [162, 269, 201, 279]}, {\"cell\": \"140 (99–195)\", \"bbox\": [306, 269, 349, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [453, 269, 484, 279]}, {\"cell\": \"HDL-C (mg/dL)\", \"bbox\": [1, 283, 51, 293]}, {\"cell\": \"51 (44–59)\", \"bbox\": [162, 283, 197, 293]}, {\"cell\": \"44 (40–51)\", \"bbox\": [306, 283, 341, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [453, 283, 484, 293]}, {\"cell\": \"LDL-C (mg/dL) *\", \"bbox\": [1, 297, 55, 307]}, {\"cell\": \"125.51 (33.43)\", \"bbox\": [162, 297, 207, 307]}, {\"cell\": \"130.18 (33.26)\", \"bbox\": [306, 297, 351, 307]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [453, 297, 476, 307]}, {\"cell\": \"Total bilirubin (mg/dL)\", \"bbox\": [1, 311, 74, 321]}, {\"cell\": \"1.1 (0.85–1.3)\", \"bbox\": [162, 311, 205, 321]}, {\"cell\": \"1.1 (0.9–1.3)\", \"bbox\": [306, 311, 345, 321]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [453, 311, 472, 321]}, {\"cell\": \"ALP (IU/L)\", \"bbox\": [1, 325, 34, 335]}, {\"cell\": \"59 (49.5–69)\", \"bbox\": [162, 325, 202, 335]}, {\"cell\": \"62 (52–72)\", \"bbox\": [306, 325, 341, 335]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [453, 325, 472, 335]}, {\"cell\": \"AST (IU/L)\", \"bbox\": [1, 339, 34, 349]}, {\"cell\": \"22 (19–27)\", \"bbox\": [162, 339, 197, 349]}, {\"cell\": \"26 (22–33)\", \"bbox\": [306, 339, 341, 349]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [453, 339, 484, 349]}, {\"cell\": \"ALT (IU/L)\", \"bbox\": [1, 353, 34, 363]}, {\"cell\": \"22 (17–30)\", \"bbox\": [162, 353, 197, 363]}, {\"cell\": \"33 (24–49)\", \"bbox\": [306, 353, 341, 363]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [453, 353, 484, 363]}, {\"cell\": \"γ-GT (IU/L)\", \"bbox\": [1, 367, 36, 377]}, {\"cell\": \"27 (20–39)\", \"bbox\": [162, 367, 197, 377]}, {\"cell\": \"34 (26–49)\", \"bbox\": [306, 367, 341, 377]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [453, 367, 484, 377]}, {\"cell\": \"hs-CRP (mg/dL)\", \"bbox\": [1, 381, 52, 391]}, {\"cell\": \"0.04 (0.04–0.15)\", \"bbox\": [162, 381, 213, 391]}, {\"cell\": \"0.09 (0.03–0.2)\", \"bbox\": [306, 381, 353, 391]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [453, 381, 476, 391]}, {\"cell\": \"HOMA-IR (mg/dL)\", \"bbox\": [1, 395, 60, 405]}, {\"cell\": \"1.76 (1.33–2.29)\", \"bbox\": [162, 395, 213, 405]}, {\"cell\": \"2.67 (1.96–3.48)\", \"bbox\": [306, 395, 357, 405]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [453, 395, 476, 405]}, {\"cell\": \"Metabolic syndrome †\", \"bbox\": [1, 409, 74, 419]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [453, 409, 481, 419]}, {\"cell\": \"yes\", \"bbox\": [1, 423, 13, 433]}, {\"cell\": \"41 (16.80)\", \"bbox\": [162, 423, 195, 433]}, {\"cell\": \"130 (51.79)\", \"bbox\": [306, 423, 342, 433]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3406998_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
ActivityMaleFemaleTotal
[EMPTY_CELL]n%n%[EMPTY_CELL]
Team ball sports6235.47652.4[EMPTY_CELL]
Other activity (not specified)8347.44631.7[EMPTY_CELL]
Other specified activity with small cell counts grouped together (Team bat or stick sports, individual athletic activities, acrobatic sports, combative sports, equestrian activities, other school related recreational activities, other specified sport and exercise activity)63.4117.6[EMPTY_CELL]
Other sport or leisure activities (Ice and snow sports, wheeled motor sports, wheeled non-motored sports, unspecified sport and exercise activity, leisure activity)2413.7128.3[EMPTY_CELL]
Totals175100145100[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Activity\", \"bbox\": [102, 5, 136, 16]}, {\"cell\": \"Male\", \"bbox\": [263, 5, 286, 16]}, {\"cell\": \"Female\", \"bbox\": [334, 5, 366, 16]}, {\"cell\": \"Total\", \"bbox\": [396, 5, 418, 16]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"n\", \"bbox\": [252, 23, 259, 29]}, {\"cell\": \"%\", \"bbox\": [289, 21, 298, 32]}, {\"cell\": \"n\", \"bbox\": [328, 23, 335, 29]}, {\"cell\": \"%\", \"bbox\": [364, 21, 374, 32]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Team ball sports\", \"bbox\": [6, 32, 73, 43]}, {\"cell\": \"62\", \"bbox\": [250, 32, 261, 43]}, {\"cell\": \"35.4\", \"bbox\": [285, 32, 302, 43]}, {\"cell\": \"76\", \"bbox\": [326, 32, 337, 43]}, {\"cell\": \"52.4\", \"bbox\": [360, 32, 378, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [399, 32, 415, 43]}, {\"cell\": \"Other activity (not specified)\", \"bbox\": [6, 43, 122, 54]}, {\"cell\": \"83\", \"bbox\": [250, 43, 261, 54]}, {\"cell\": \"47.4\", \"bbox\": [285, 43, 302, 54]}, {\"cell\": \"46\", \"bbox\": [326, 43, 337, 54]}, {\"cell\": \"31.7\", \"bbox\": [360, 43, 378, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [399, 43, 415, 54]}, {\"cell\": \"Other specified activity with small cell counts grouped together (Team bat or stick sports, individual athletic activities, acrobatic sports, combative sports, equestrian activities, other school related recreational activities, other specified sport and exercise activity)\", \"bbox\": [6, 58, 229, 113]}, {\"cell\": \"6\", \"bbox\": [252, 80, 259, 91]}, {\"cell\": \"3.4\", \"bbox\": [287, 80, 300, 91]}, {\"cell\": \"11\", \"bbox\": [326, 80, 337, 91]}, {\"cell\": \"7.6\", \"bbox\": [362, 80, 376, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [401, 80, 412, 91]}, {\"cell\": \"Other sport or leisure activities (Ice and snow sports, wheeled motor sports, wheeled non-motored sports, unspecified sport and exercise activity, leisure activity)\", \"bbox\": [6, 118, 225, 151]}, {\"cell\": \"24\", \"bbox\": [250, 129, 261, 140]}, {\"cell\": \"13.7\", \"bbox\": [285, 129, 302, 140]}, {\"cell\": \"12\", \"bbox\": [326, 129, 337, 140]}, {\"cell\": \"8.3\", \"bbox\": [362, 129, 376, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [401, 129, 412, 140]}, {\"cell\": \"Totals\", \"bbox\": [6, 156, 32, 167]}, {\"cell\": \"175\", \"bbox\": [248, 156, 263, 167]}, {\"cell\": \"100\", \"bbox\": [286, 156, 301, 167]}, {\"cell\": \"145\", \"bbox\": [323, 156, 339, 167]}, {\"cell\": \"100\", \"bbox\": [361, 156, 377, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [399, 156, 415, 167]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5486285_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariableNew Generation of Migrant WorkersOld Generation of Migrant Workers
(1) 2SLS(2) 2SLS(3) 2SLS(4) 2SLS(5) 2SLS(6) 2SLS
Happiness0.660 ***[EMPTY_CELL][EMPTY_CELL]0.508 ***[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL](0.192)[EMPTY_CELL][EMPTY_CELL](0.194)[EMPTY_CELL][EMPTY_CELL]
Life[EMPTY_CELL]0.832 ***[EMPTY_CELL][EMPTY_CELL]0.956 ***[EMPTY_CELL]
Satisfaction[EMPTY_CELL](0.184)[EMPTY_CELL][EMPTY_CELL](0.335)[EMPTY_CELL]
Economic[EMPTY_CELL][EMPTY_CELL]0.770 ***[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Satisfaction[EMPTY_CELL][EMPTY_CELL](0.144)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Economic−0.088−0.073−0.010−0.029−0.097[EMPTY_CELL]
Integration(0.061)(0.063)(0.059)(0.078)(0.099)[EMPTY_CELL]
Social0.163 ***0.121 **0.134 ***0.137 ***0.083[EMPTY_CELL]
Integration(0.044)(0.051)(0.050)(0.039)(0.055)[EMPTY_CELL]
Political0.377 ***0.320 **0.269 *0.634 ***0.502 ***[EMPTY_CELL]
Integration(0.124)(0.138)(0.138)(0.108)(0.140)[EMPTY_CELL]
Cultural−0.060−0.067−0.131 **−0.048−0.105[EMPTY_CELL]
Integration(0.055)(0.061)(0.062)(0.059)(0.073)[EMPTY_CELL]
Control variablesYESYESYESYESYES[EMPTY_CELL]
Constant−1.155−2.711 *−2.346 **−0.212−1.190[EMPTY_CELL]
[EMPTY_CELL](1.255)(1.397)(1.191)(1.538)(1.890)[EMPTY_CELL]
Observation763763763862862[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Variable\", \"bbox\": [11, 9, 39, 17]}, {\"cell\": \"New Generation of Migrant Workers\", \"bbox\": [62, 4, 177, 12]}, {\"cell\": \"Old Generation of Migrant Workers\", \"bbox\": [206, 4, 318, 12]}, {\"cell\": \"(1) 2SLS\", \"bbox\": [59, 16, 86, 24]}, {\"cell\": \"(2) 2SLS\", \"bbox\": [106, 16, 134, 24]}, {\"cell\": \"(3) 2SLS\", \"bbox\": [154, 16, 181, 24]}, {\"cell\": \"(4) 2SLS\", \"bbox\": [201, 16, 228, 24]}, {\"cell\": \"(5) 2SLS\", \"bbox\": [248, 16, 276, 24]}, {\"cell\": \"(6) 2SLS\", \"bbox\": [296, 16, 323, 24]}, {\"cell\": \"Happiness\", \"bbox\": [8, 27, 42, 36]}, {\"cell\": \"0.660 ***\", \"bbox\": [59, 27, 86, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.508 ***\", \"bbox\": [201, 27, 228, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"(0.192)\", \"bbox\": [62, 36, 83, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"(0.194)\", \"bbox\": [204, 36, 226, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Life\", \"bbox\": [18, 48, 32, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.832 ***\", \"bbox\": [107, 48, 133, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.956 ***\", \"bbox\": [249, 48, 275, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Satisfaction\", \"bbox\": [7, 56, 43, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"(0.184)\", \"bbox\": [109, 56, 131, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"(0.335)\", \"bbox\": [251, 56, 273, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Economic\", \"bbox\": [10, 68, 41, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.770 ***\", \"bbox\": [154, 68, 181, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [296, 68, 323, 76]}, {\"cell\": \"Satisfaction\", \"bbox\": [7, 76, 43, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"(0.144)\", \"bbox\": [157, 76, 178, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [299, 76, 320, 85]}, {\"cell\": \"Economic\", \"bbox\": [10, 88, 41, 97]}, {\"cell\": \"−0.088\", \"bbox\": [61, 88, 84, 97]}, {\"cell\": \"−0.073\", \"bbox\": [109, 88, 131, 97]}, {\"cell\": \"−0.010\", \"bbox\": [156, 88, 179, 97]}, {\"cell\": \"−0.029\", \"bbox\": [203, 88, 226, 97]}, {\"cell\": \"−0.097\", \"bbox\": [251, 88, 273, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 88, 318, 97]}, {\"cell\": \"Integration\", \"bbox\": [8, 96, 43, 105]}, {\"cell\": \"(0.061)\", \"bbox\": [62, 96, 83, 105]}, {\"cell\": \"(0.063)\", \"bbox\": [109, 96, 131, 105]}, {\"cell\": \"(0.059)\", \"bbox\": [157, 96, 178, 105]}, {\"cell\": \"(0.078)\", \"bbox\": [204, 96, 226, 105]}, {\"cell\": \"(0.099)\", \"bbox\": [251, 96, 273, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [299, 96, 320, 105]}, {\"cell\": \"Social\", \"bbox\": [15, 108, 35, 117]}, {\"cell\": \"0.163 ***\", \"bbox\": [59, 108, 86, 117]}, {\"cell\": \"0.121 **\", \"bbox\": [108, 108, 132, 117]}, {\"cell\": \"0.134 ***\", \"bbox\": [154, 108, 181, 117]}, {\"cell\": \"0.137 ***\", \"bbox\": [201, 108, 228, 117]}, {\"cell\": \"0.083\", \"bbox\": [254, 108, 271, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [296, 108, 323, 117]}, {\"cell\": \"Integration\", \"bbox\": [8, 116, 43, 125]}, {\"cell\": \"(0.044)\", \"bbox\": [62, 116, 83, 125]}, {\"cell\": \"(0.051)\", \"bbox\": [109, 116, 131, 125]}, {\"cell\": \"(0.050)\", \"bbox\": [157, 116, 178, 125]}, {\"cell\": \"(0.039)\", \"bbox\": [204, 116, 226, 125]}, {\"cell\": \"(0.055)\", \"bbox\": [251, 116, 273, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [299, 116, 320, 125]}, {\"cell\": \"Political\", \"bbox\": [12, 128, 38, 137]}, {\"cell\": \"0.377 ***\", \"bbox\": [59, 128, 86, 137]}, {\"cell\": \"0.320 **\", \"bbox\": [108, 128, 132, 137]}, {\"cell\": \"0.269 *\", \"bbox\": [157, 128, 178, 137]}, {\"cell\": \"0.634 ***\", \"bbox\": [201, 128, 228, 137]}, {\"cell\": \"0.502 ***\", \"bbox\": [249, 128, 275, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [296, 128, 323, 137]}, {\"cell\": \"Integration\", \"bbox\": [8, 136, 43, 145]}, {\"cell\": \"(0.124)\", \"bbox\": [62, 136, 83, 145]}, {\"cell\": \"(0.138)\", \"bbox\": [109, 136, 131, 145]}, {\"cell\": \"(0.138)\", \"bbox\": [157, 136, 178, 145]}, {\"cell\": \"(0.108)\", \"bbox\": [204, 136, 226, 145]}, {\"cell\": \"(0.140)\", \"bbox\": [251, 136, 273, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [299, 136, 320, 145]}, {\"cell\": \"Cultural\", \"bbox\": [12, 148, 39, 157]}, {\"cell\": \"−0.060\", \"bbox\": [61, 148, 84, 157]}, {\"cell\": \"−0.067\", \"bbox\": [109, 148, 131, 157]}, {\"cell\": \"−0.131 **\", \"bbox\": [153, 148, 182, 157]}, {\"cell\": \"−0.048\", \"bbox\": [203, 148, 226, 157]}, {\"cell\": \"−0.105\", \"bbox\": [251, 148, 273, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [298, 148, 321, 157]}, {\"cell\": \"Integration\", \"bbox\": [8, 156, 43, 165]}, {\"cell\": \"(0.055)\", \"bbox\": [62, 156, 83, 165]}, {\"cell\": \"(0.061)\", \"bbox\": [109, 156, 131, 165]}, {\"cell\": \"(0.062)\", \"bbox\": [157, 156, 178, 165]}, {\"cell\": \"(0.059)\", \"bbox\": [204, 156, 226, 165]}, {\"cell\": \"(0.073)\", \"bbox\": [251, 156, 273, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [299, 156, 320, 165]}, {\"cell\": \"Control variables\", \"bbox\": [11, 168, 40, 185]}, {\"cell\": \"YES\", \"bbox\": [66, 172, 80, 181]}, {\"cell\": \"YES\", \"bbox\": [113, 172, 127, 181]}, {\"cell\": \"YES\", \"bbox\": [160, 172, 174, 181]}, {\"cell\": \"YES\", \"bbox\": [208, 172, 222, 181]}, {\"cell\": \"YES\", \"bbox\": [255, 172, 269, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [302, 172, 317, 181]}, {\"cell\": \"Constant\", \"bbox\": [11, 188, 40, 197]}, {\"cell\": \"−1.155\", \"bbox\": [61, 188, 84, 197]}, {\"cell\": \"−2.711 *\", \"bbox\": [107, 188, 133, 197]}, {\"cell\": \"−2.346 **\", \"bbox\": [153, 188, 182, 197]}, {\"cell\": \"−0.212\", \"bbox\": [203, 188, 226, 197]}, {\"cell\": \"−1.190\", \"bbox\": [251, 188, 273, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 188, 318, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"(1.255)\", \"bbox\": [62, 197, 83, 205]}, {\"cell\": \"(1.397)\", \"bbox\": [109, 197, 131, 205]}, {\"cell\": \"(1.191)\", \"bbox\": [157, 197, 178, 205]}, {\"cell\": \"(1.538)\", \"bbox\": [204, 197, 226, 205]}, {\"cell\": \"(1.890)\", \"bbox\": [251, 197, 273, 205]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [299, 197, 320, 205]}, {\"cell\": \"Observation\", \"bbox\": [6, 208, 45, 217]}, {\"cell\": \"763\", \"bbox\": [67, 208, 79, 217]}, {\"cell\": \"763\", \"bbox\": [114, 208, 126, 217]}, {\"cell\": \"763\", \"bbox\": [161, 208, 173, 217]}, {\"cell\": \"862\", \"bbox\": [209, 208, 221, 217]}, {\"cell\": \"862\", \"bbox\": [256, 208, 268, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [303, 208, 316, 217]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5981939_013_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
YearLM1M2M3M4M5M6M7M8M9
2009G-L1101.784.345.547.220.46.945.60[EMPTY_CELL]
2009G-L283.167.550.938.531.420.740.70.5[EMPTY_CELL]
2009G-L345.730.441.531.140.126.931.21.0[EMPTY_CELL]
2009G-L4125.019.1125.1114.990.319.6115.565.0[EMPTY_CELL]
2009G-L529.18.018.124.515.31.2–12.3[EMPTY_CELL]
2009G-L651.647.637.729.541.735.429.40[EMPTY_CELL]
2009G-L781.556.155.362.836.511.055.55.1[EMPTY_CELL]
2009P-L1126.4115.6121.6116.3109.5108.8116.20[EMPTY_CELL]
2009P-L262.345.462.454.657.347.254.91.5[EMPTY_CELL]
2009P-L3120.965.9116.1105.599.749.6105.517.3[EMPTY_CELL]
2009P-L4145.998.6132.8126.4126.480.1126.40.4[EMPTY_CELL]
2010G-L135.54.935.631.512.3032.012.3[EMPTY_CELL]
2010G-L225.07.227.021.729.711.919.70[EMPTY_CELL]
2010G-L4141.474.2128.7117.1130.257.4118.45.0[EMPTY_CELL]
2010G-L521.6023.422.921.93.322.922.1[EMPTY_CELL]
2010G-L680.960.072.859.855.441.561.10[EMPTY_CELL]
2010G-L769.522.356.247.837.223.648.12.6[EMPTY_CELL]
2010G-L840.824.732.122.627.719.623.10[EMPTY_CELL]
2010P-L138.85.738.838.839.49.440.839.1[EMPTY_CELL]
2010P-L240.00.741.636.139.84.136.94.3[EMPTY_CELL]
2010P-L366.4068.467.269.53.770.471.5[EMPTY_CELL]
2010P-L495.080.490.579.187.066.779.40[EMPTY_CELL]
Counts0200010712
[EMPTY_CELL]0%9%0%0%0%5%0.0032%55%
2012G-L435.3035.336.226.00.635.324.2[EMPTY_CELL]
2012G-L566.32.667.066.342.15.9–21.5[EMPTY_CELL]
2012G-L6148.4131.493.893.718.718.789.90[EMPTY_CELL]
2012G-L738.34.540.338.336.3042.3–[EMPTY_CELL]
2012G-L845.339.837.733.535.637.333.91.9[EMPTY_CELL]
2012G-L9402.3321.5200.9181.781.981.9191.60[EMPTY_CELL]
2012G-L1039.7041.541.422.13.543.56.7[EMPTY_CELL]
2012G-L1118.0019.718.08.41.221.63.7[EMPTY_CELL]
2012P-L1189.5168.8158.9148.9146.3137.8149.10[EMPTY_CELL]
2012P-L2127.449.3129.1122.6129.749.9123.95.9[EMPTY_CELL]
2012P-L3107.855.3103.195.0101.049.396.17.9[EMPTY_CELL]
2012P-L4226.30.2226.3222.1226.30226.3226.3[EMPTY_CELL]
2012P-L513.2013.213.211.91.513.213.9[EMPTY_CELL]
2012P-L679.054.870.466.965.837.967.00[EMPTY_CELL]
Counts040002046
[EMPTY_CELL]0%29%0%0%0%14%0%29%43%
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\"bbox\": [191, 396, 206, 404]}, {\"cell\": \"93.7\", \"bbox\": [238, 396, 253, 404]}, {\"cell\": \"18.7\", \"bbox\": [284, 396, 299, 404]}, {\"cell\": \"18.7\", \"bbox\": [331, 396, 346, 404]}, {\"cell\": \"89.9\", \"bbox\": [377, 396, 392, 404]}, {\"cell\": \"0\", \"bbox\": [431, 396, 437, 406]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [478, 396, 484, 406]}, {\"cell\": \"2012\", \"bbox\": [1, 411, 18, 418]}, {\"cell\": \"G-L7\", \"bbox\": [46, 411, 63, 418]}, {\"cell\": \"38.3\", \"bbox\": [98, 411, 113, 418]}, {\"cell\": \"4.5\", \"bbox\": [148, 411, 160, 418]}, {\"cell\": \"40.3\", \"bbox\": [191, 411, 206, 418]}, {\"cell\": \"38.3\", \"bbox\": [238, 411, 253, 418]}, {\"cell\": \"36.3\", \"bbox\": [284, 411, 299, 418]}, {\"cell\": \"0\", \"bbox\": [339, 411, 346, 420]}, {\"cell\": \"42.3\", \"bbox\": [377, 411, 392, 418]}, {\"cell\": \"–\", \"bbox\": [433, 411, 439, 418]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [473, 411, 484, 418]}, {\"cell\": \"2012\", \"bbox\": [1, 425, 18, 433]}, {\"cell\": \"G-L8\", \"bbox\": [46, 425, 63, 433]}, {\"cell\": \"45.3\", \"bbox\": [98, 425, 113, 433]}, {\"cell\": \"39.8\", \"bbox\": [144, 425, 160, 433]}, {\"cell\": \"37.7\", \"bbox\": [191, 425, 206, 433]}, {\"cell\": \"33.5\", \"bbox\": [238, 425, 253, 433]}, {\"cell\": \"35.6\", \"bbox\": [284, 425, 299, 433]}, {\"cell\": \"37.3\", \"bbox\": [331, 425, 346, 433]}, {\"cell\": \"33.9\", \"bbox\": [377, 425, 392, 433]}, {\"cell\": \"1.9\", \"bbox\": [428, 425, 439, 433]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [478, 425, 484, 435]}, {\"cell\": \"2012\", \"bbox\": [1, 440, 18, 447]}, {\"cell\": \"G-L9\", \"bbox\": [46, 440, 63, 447]}, {\"cell\": \"402.3\", \"bbox\": [94, 440, 113, 447]}, {\"cell\": \"321.5\", \"bbox\": [141, 440, 160, 447]}, {\"cell\": \"200.9\", \"bbox\": [187, 440, 206, 447]}, {\"cell\": \"181.7\", \"bbox\": [234, 440, 253, 447]}, {\"cell\": \"81.9\", \"bbox\": [284, 440, 299, 447]}, {\"cell\": \"81.9\", \"bbox\": [331, 440, 346, 447]}, {\"cell\": \"191.6\", \"bbox\": [373, 440, 392, 447]}, {\"cell\": \"0\", \"bbox\": [432, 440, 439, 449]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [478, 440, 484, 449]}, {\"cell\": \"2012\", \"bbox\": [1, 454, 18, 462]}, {\"cell\": \"G-L10\", \"bbox\": [46, 454, 66, 462]}, {\"cell\": \"39.7\", \"bbox\": [98, 454, 113, 462]}, {\"cell\": \"0\", \"bbox\": [153, 454, 160, 463]}, {\"cell\": \"41.5\", \"bbox\": [191, 454, 206, 462]}, {\"cell\": \"41.4\", \"bbox\": [238, 454, 253, 462]}, {\"cell\": \"22.1\", \"bbox\": [284, 454, 299, 462]}, {\"cell\": \"3.5\", \"bbox\": [335, 454, 346, 462]}, {\"cell\": \"43.5\", \"bbox\": [377, 454, 392, 462]}, {\"cell\": \"6.7\", \"bbox\": [428, 454, 439, 462]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [473, 454, 484, 462]}, {\"cell\": \"2012\", \"bbox\": [1, 469, 18, 476]}, {\"cell\": \"G-L11\", \"bbox\": [46, 469, 66, 476]}, {\"cell\": \"18.0\", \"bbox\": [98, 469, 113, 476]}, {\"cell\": \"0\", \"bbox\": [153, 468, 160, 478]}, {\"cell\": \"19.7\", \"bbox\": [191, 469, 206, 476]}, {\"cell\": \"18.0\", \"bbox\": [238, 469, 253, 476]}, {\"cell\": \"8.4\", \"bbox\": [288, 469, 299, 476]}, {\"cell\": \"1.2\", \"bbox\": [335, 469, 346, 476]}, {\"cell\": \"21.6\", \"bbox\": [377, 469, 392, 476]}, {\"cell\": \"3.7\", \"bbox\": [428, 469, 439, 476]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [478, 469, 484, 476]}, {\"cell\": \"2012\", \"bbox\": [1, 483, 18, 491]}, {\"cell\": \"P-L1\", \"bbox\": [46, 483, 62, 491]}, {\"cell\": \"189.5\", \"bbox\": [94, 483, 113, 491]}, {\"cell\": \"168.8\", \"bbox\": [141, 483, 160, 491]}, {\"cell\": \"158.9\", \"bbox\": [187, 483, 206, 491]}, {\"cell\": \"148.9\", \"bbox\": [234, 483, 253, 491]}, {\"cell\": \"146.3\", \"bbox\": [280, 483, 299, 491]}, {\"cell\": \"137.8\", \"bbox\": [327, 483, 346, 491]}, {\"cell\": \"149.1\", \"bbox\": [373, 483, 392, 491]}, {\"cell\": \"0\", \"bbox\": [432, 483, 439, 492]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [473, 483, 484, 491]}, {\"cell\": \"2012\", \"bbox\": [1, 497, 18, 505]}, {\"cell\": \"P-L2\", \"bbox\": [46, 497, 62, 505]}, {\"cell\": \"127.4\", \"bbox\": [94, 497, 113, 505]}, {\"cell\": \"49.3\", \"bbox\": [144, 497, 160, 505]}, {\"cell\": \"129.1\", \"bbox\": [187, 497, 206, 505]}, {\"cell\": \"122.6\", \"bbox\": [234, 497, 253, 505]}, {\"cell\": \"129.7\", \"bbox\": [280, 497, 299, 505]}, {\"cell\": \"49.9\", \"bbox\": [331, 497, 346, 505]}, {\"cell\": \"123.9\", \"bbox\": [373, 497, 392, 505]}, {\"cell\": \"5.9\", \"bbox\": [428, 497, 439, 505]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [478, 497, 484, 507]}, {\"cell\": \"2012\", \"bbox\": [1, 512, 18, 520]}, {\"cell\": \"P-L3\", \"bbox\": [46, 512, 62, 520]}, {\"cell\": \"107.8\", \"bbox\": [94, 512, 113, 520]}, {\"cell\": \"55.3\", \"bbox\": [144, 512, 160, 520]}, {\"cell\": \"103.1\", \"bbox\": [187, 512, 206, 520]}, {\"cell\": \"95.0\", \"bbox\": [238, 512, 253, 520]}, {\"cell\": \"101.0\", \"bbox\": [280, 512, 299, 520]}, {\"cell\": \"49.3\", \"bbox\": [331, 512, 346, 520]}, {\"cell\": \"96.1\", \"bbox\": [377, 512, 392, 520]}, {\"cell\": \"7.9\", \"bbox\": [428, 512, 439, 520]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [478, 512, 484, 521]}, {\"cell\": \"2012\", \"bbox\": [1, 526, 18, 534]}, {\"cell\": \"P-L4\", \"bbox\": [46, 526, 62, 534]}, {\"cell\": \"226.3\", \"bbox\": [94, 526, 113, 534]}, {\"cell\": \"0.2\", \"bbox\": [148, 526, 160, 534]}, {\"cell\": \"226.3\", \"bbox\": [187, 526, 206, 534]}, {\"cell\": \"222.1\", \"bbox\": [234, 526, 253, 534]}, {\"cell\": \"226.3\", \"bbox\": [280, 526, 299, 534]}, {\"cell\": \"0\", \"bbox\": [339, 526, 346, 536]}, {\"cell\": \"226.3\", \"bbox\": [373, 526, 392, 534]}, {\"cell\": \"226.3\", \"bbox\": [420, 526, 439, 534]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [473, 526, 484, 534]}, {\"cell\": \"2012\", \"bbox\": [1, 541, 18, 548]}, {\"cell\": \"P-L5\", \"bbox\": [46, 541, 62, 548]}, {\"cell\": \"13.2\", \"bbox\": [98, 541, 113, 548]}, {\"cell\": \"0\", \"bbox\": [153, 541, 160, 550]}, {\"cell\": \"13.2\", \"bbox\": [191, 541, 206, 548]}, {\"cell\": \"13.2\", \"bbox\": [238, 541, 253, 548]}, {\"cell\": \"11.9\", \"bbox\": [284, 541, 299, 548]}, {\"cell\": \"1.5\", \"bbox\": [335, 541, 346, 548]}, {\"cell\": \"13.2\", \"bbox\": [377, 541, 392, 548]}, {\"cell\": \"13.9\", \"bbox\": [424, 541, 439, 548]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [473, 541, 484, 548]}, {\"cell\": \"2012\", \"bbox\": [1, 555, 18, 563]}, {\"cell\": \"P-L6\", \"bbox\": [46, 555, 62, 563]}, {\"cell\": \"79.0\", \"bbox\": [98, 555, 113, 563]}, {\"cell\": \"54.8\", \"bbox\": [144, 555, 160, 563]}, {\"cell\": \"70.4\", \"bbox\": [191, 555, 206, 563]}, {\"cell\": \"66.9\", \"bbox\": [238, 555, 253, 563]}, {\"cell\": \"65.8\", \"bbox\": [284, 555, 299, 563]}, {\"cell\": \"37.9\", \"bbox\": [331, 555, 346, 563]}, {\"cell\": \"67.0\", \"bbox\": [377, 555, 392, 563]}, {\"cell\": \"0\", \"bbox\": [432, 555, 439, 565]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [473, 555, 484, 563]}, {\"cell\": \"Counts\", \"bbox\": [42, 570, 66, 578]}, {\"cell\": \"0\", \"bbox\": [107, 570, 113, 578]}, {\"cell\": \"4\", \"bbox\": [154, 570, 160, 578]}, {\"cell\": \"0\", \"bbox\": [200, 570, 206, 578]}, {\"cell\": \"0\", \"bbox\": [247, 570, 253, 578]}, {\"cell\": \"0\", \"bbox\": [293, 570, 299, 578]}, {\"cell\": \"2\", \"bbox\": [340, 570, 346, 578]}, {\"cell\": \"0\", \"bbox\": [386, 570, 392, 578]}, {\"cell\": \"4\", \"bbox\": [433, 570, 439, 578]}, {\"cell\": \"6\", \"bbox\": [478, 570, 484, 580]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0%\", \"bbox\": [101, 585, 113, 592]}, {\"cell\": \"29%\", \"bbox\": [144, 585, 160, 592]}, {\"cell\": \"0%\", \"bbox\": [194, 585, 206, 592]}, {\"cell\": \"0%\", \"bbox\": [241, 585, 253, 592]}, {\"cell\": \"0%\", \"bbox\": [287, 585, 299, 592]}, {\"cell\": \"14%\", \"bbox\": [330, 585, 346, 592]}, {\"cell\": \"0%\", \"bbox\": [381, 585, 392, 592]}, {\"cell\": \"29%\", \"bbox\": [423, 585, 439, 592]}, {\"cell\": \"43%\", \"bbox\": [466, 585, 484, 594]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4133075_009_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Target geneaSequence of the primer (5′ → 3′)Amplicon size (bp)Accession numberb
hylBF: TGTCTCCGAGGTGACACTTGAACT[EMPTY_CELL]U15050.1/Y15903.1
R: TTGTGTTGTGACGGGTTGTGGATG
cylEF: TCGGAACAAGTAAAGAGGGTTCGG[EMPTY_CELL]AF093787.2/AF157015.2
R: GGGTTTCCACAGTTGCTTGAATGT
PI-1F: AACCACTAGCAGGCGTTGTCTTTG[EMPTY_CELL]EU929540.1/EU929469.1
R: TGAGCCCGGAAATTCTGATATGCC
PI-2aF: GCCGTTAGATGTTGTCTTCGTACT[EMPTY_CELL]EU929374.1/EU929330.1
R: TTTACTGCGGTCCCAAGAGCTTC
PI-2bF: AAGTCTTGACCAAGGATACGACGC[EMPTY_CELL]EU929426.1/EU929391.1
R: ATCGTGTTACTTGCCCTGCGTA
ermAF: CCGGCAAGGAGAAGGTTATAATGA[EMPTY_CELL]EU492925.1/EU492926.1
R: GCATTCACCCGTTGACTCATTTCC
ermBF: GCTCTTGCACACTCAAGTCTCGAT[EMPTY_CELL]EF422365.1/DQ250996.1
R: ACATCTGTGGTATGGCGGGTAAGT
mefA/EF: GCGATGGTCTTGTCTATGGCTTCA[EMPTY_CELL]DQ445273.1/DQ445269.1
[EMPTY_CELL]R: AGCTGTTCCAATGCTACGGAT[EMPTY_CELL][EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Target genea\", \"bbox\": [1, 2, 47, 13]}, {\"cell\": \"Sequence of the primer (5′ → 3′)\", \"bbox\": [106, 4, 221, 13]}, {\"cell\": \"Amplicon size (bp)\", \"bbox\": [279, 4, 346, 13]}, {\"cell\": \"Accession numberb\", \"bbox\": [409, 2, 478, 13]}, {\"cell\": \"hylB\", \"bbox\": [17, 24, 31, 34]}, {\"cell\": \"F: TGTCTCCGAGGTGACACTTGAACT\", \"bbox\": [106, 17, 221, 25]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [306, 24, 319, 32]}, {\"cell\": \"U15050.1/Y15903.1\", \"bbox\": [412, 24, 475, 32]}, {\"cell\": \"R: TTGTGTTGTGACGGGTTGTGGATG\", \"bbox\": [106, 31, 220, 39]}, {\"cell\": \"cylE\", \"bbox\": [17, 52, 31, 62]}, {\"cell\": \"F: TCGGAACAAGTAAAGAGGGTTCGG\", \"bbox\": [104, 45, 223, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [306, 52, 319, 60]}, {\"cell\": \"AF093787.2/AF157015.2\", \"bbox\": [405, 52, 482, 60]}, {\"cell\": \"R: GGGTTTCCACAGTTGCTTGAATGT\", \"bbox\": [107, 59, 220, 67]}, {\"cell\": \"PI-1\", \"bbox\": [17, 80, 31, 88]}, {\"cell\": \"F: AACCACTAGCAGGCGTTGTCTTTG\", \"bbox\": [106, 73, 221, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [306, 80, 319, 88]}, {\"cell\": \"EU929540.1/EU929469.1\", \"bbox\": [404, 80, 483, 88]}, {\"cell\": \"R: TGAGCCCGGAAATTCTGATATGCC\", \"bbox\": [105, 87, 221, 95]}, {\"cell\": \"PI-2a\", \"bbox\": [15, 108, 33, 116]}, {\"cell\": \"F: GCCGTTAGATGTTGTCTTCGTACT\", \"bbox\": [108, 101, 219, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [306, 108, 319, 116]}, {\"cell\": \"EU929374.1/EU929330.1\", \"bbox\": [404, 108, 483, 116]}, {\"cell\": \"R: TTTACTGCGGTCCCAAGAGCTTC\", \"bbox\": [109, 115, 218, 124]}, {\"cell\": \"PI-2b\", \"bbox\": [15, 136, 33, 144]}, {\"cell\": \"F: AAGTCTTGACCAAGGATACGACGC\", \"bbox\": [105, 129, 222, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [306, 136, 319, 144]}, {\"cell\": \"EU929426.1/EU929391.1\", \"bbox\": [404, 136, 483, 144]}, {\"cell\": \"R: ATCGTGTTACTTGCCCTGCGTA\", \"bbox\": [111, 143, 216, 151]}, {\"cell\": \"ermA\", \"bbox\": [15, 164, 33, 174]}, {\"cell\": \"F: CCGGCAAGGAGAAGGTTATAATGA\", \"bbox\": [104, 157, 223, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [306, 164, 319, 172]}, {\"cell\": \"EU492925.1/EU492926.1\", \"bbox\": [404, 164, 483, 172]}, {\"cell\": \"R: GCATTCACCCGTTGACTCATTTCC\", \"bbox\": [107, 171, 220, 179]}, {\"cell\": \"ermB\", \"bbox\": [15, 192, 33, 202]}, {\"cell\": \"F: GCTCTTGCACACTCAAGTCTCGAT\", \"bbox\": [107, 185, 220, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [306, 192, 319, 200]}, {\"cell\": \"EF422365.1/DQ250996.1\", \"bbox\": [404, 192, 483, 200]}, {\"cell\": \"R: ACATCTGTGGTATGGCGGGTAAGT\", \"bbox\": [105, 199, 222, 207]}, {\"cell\": \"mefA/E\", \"bbox\": [12, 220, 36, 230]}, {\"cell\": \"F: GCGATGGTCTTGTCTATGGCTTCA\", \"bbox\": [107, 213, 220, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [306, 220, 319, 229]}, {\"cell\": \"DQ445273.1/DQ445269.1\", \"bbox\": [403, 220, 484, 229]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"R: AGCTGTTCCAATGCTACGGAT\", \"bbox\": [112, 227, 214, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3878097_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Risk FactorRecommendation
1. 45 % died at home without calling for help and Personal Asthma Action Plans (PAAPs) had only been issued to 23 %[EMPTY_CELL]
• asthma triggers,
• current therapy,
• advice on treatment escalation and
• how to call for help
2. Failure to phenotype asthma or identify triggers in >51 %[EMPTY_CELL]
3. No evidence of a review in general practice in the last yr for 43 %[EMPTY_CELL]
4. 10 % died within 28d of hospital discharge and 21 % died within 12mo of attendance in ED[EMPTY_CELL]
5. Excessive prescribing of SABA (39 % issued with >12 devices in previous 12mo) inadequate uptake of ICS with 38 % issued <4 devices in previous 12 mo[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Risk Factor\", \"bbox\": [1, 4, 37, 13]}, {\"cell\": \"Recommendation\", \"bbox\": [113, 4, 172, 13]}, {\"cell\": \"1. 45 % died at home without calling for help and Personal Asthma Action Plans (PAAPs) had only been issued to 23 %\", \"bbox\": [1, 17, 106, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [113, 17, 213, 36]}, {\"cell\": \"• asthma triggers,\", \"bbox\": [113, 40, 171, 50]}, {\"cell\": \"• current therapy,\", \"bbox\": [113, 54, 170, 64]}, {\"cell\": \"• advice on treatment escalation and\", \"bbox\": [113, 68, 233, 78]}, {\"cell\": \"• how to call for help\", \"bbox\": [113, 82, 183, 92]}, {\"cell\": \"2. Failure to phenotype asthma or identify triggers in >51 %\", \"bbox\": [1, 96, 103, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [113, 96, 223, 124]}, {\"cell\": \"3. No evidence of a review in general practice in the last yr for 43 %\", \"bbox\": [1, 128, 104, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [113, 128, 237, 156]}, {\"cell\": \"4. 10 % died within 28d of hospital discharge and 21 % died within 12mo of attendance in ED\", \"bbox\": [1, 160, 101, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [113, 160, 230, 197]}, {\"cell\": \"5. Excessive prescribing of SABA (39 % issued with >12 devices in previous 12mo) inadequate uptake of ICS with 38 % issued <4 devices in previous 12 mo\", \"bbox\": [0, 201, 109, 247]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [113, 201, 236, 247]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4952053_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Algorithm settingDIA-0DIA-1DIA-2
Averaging radius (μ)[EMPTY_CELL]11
Curvature threshold[EMPTY_CELL]2.52.5
Segmentation type[EMPTY_CELL]Cytoplasm rejectionCytoplasm rejection
Threshold type[EMPTY_CELL]Edge thresholdEdge threshold
Lower intensity threshold[EMPTY_CELL]00
Upper intensity threshold[EMPTY_CELL]230230
Min. nuclear size (μ2)[EMPTY_CELL]4540
Max. nuclear size (μ2)[EMPTY_CELL]1,0001,000
Min, roundness[EMPTY_CELL]0.10.1
Min. compactness[EMPTY_CELL]00.2
Min. elongation[EMPTY_CELL]0.10.2
Remove light objects[EMPTY_CELL]removes no nucleiremoves no nuclei
Weak (1+) threshold[EMPTY_CELL]210229
Moderate (2+) threshold[EMPTY_CELL]188188
Strong (3+) threshold[EMPTY_CELL]162162
Black threshold[EMPTY_CELL]00
Edge trimming[EMPTY_CELL]WeightedWeighted
\", \"cells\": [{\"cell\": \"Algorithm setting\", \"bbox\": [1, 4, 61, 13]}, {\"cell\": \"DIA-0\", \"bbox\": [87, 4, 107, 13]}, {\"cell\": \"DIA-1\", \"bbox\": [144, 4, 165, 13]}, {\"cell\": \"DIA-2\", \"bbox\": [202, 4, 223, 13]}, {\"cell\": \"Averaging radius (μ)\", \"bbox\": [1, 17, 64, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [94, 17, 100, 27]}, {\"cell\": \"1\", \"bbox\": [152, 17, 158, 27]}, {\"cell\": \"1\", \"bbox\": [209, 17, 215, 27]}, {\"cell\": \"Curvature threshold\", \"bbox\": [1, 31, 63, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 31, 102, 41]}, {\"cell\": \"2.5\", \"bbox\": [149, 31, 160, 41]}, {\"cell\": \"2.5\", \"bbox\": [207, 31, 218, 41]}, {\"cell\": \"Segmentation type\", \"bbox\": [1, 45, 61, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 45, 114, 64]}, {\"cell\": \"Cytoplasm rejection\", \"bbox\": [138, 45, 172, 64]}, {\"cell\": \"Cytoplasm rejection\", \"bbox\": [195, 45, 229, 64]}, {\"cell\": \"Threshold type\", \"bbox\": [1, 68, 48, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [73, 68, 121, 78]}, {\"cell\": \"Edge threshold\", \"bbox\": [131, 68, 179, 78]}, {\"cell\": \"Edge threshold\", \"bbox\": [188, 68, 236, 78]}, {\"cell\": \"Lower intensity threshold\", \"bbox\": [1, 82, 49, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [94, 82, 100, 92]}, {\"cell\": \"0\", \"bbox\": [152, 82, 158, 92]}, {\"cell\": \"0\", \"bbox\": [209, 82, 215, 92]}, {\"cell\": \"Upper intensity threshold\", \"bbox\": [1, 105, 54, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [90, 105, 104, 115]}, {\"cell\": \"230\", \"bbox\": [147, 105, 162, 115]}, {\"cell\": \"230\", \"bbox\": [205, 105, 219, 115]}, {\"cell\": \"Min. nuclear size (μ2)\", \"bbox\": [1, 128, 43, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 128, 102, 138]}, {\"cell\": \"45\", \"bbox\": [149, 128, 160, 138]}, {\"cell\": \"40\", \"bbox\": [207, 128, 217, 138]}, {\"cell\": \"Max. nuclear size (μ2)\", \"bbox\": [1, 151, 45, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 151, 114, 161]}, {\"cell\": \"1,000\", \"bbox\": [145, 151, 165, 161]}, {\"cell\": \"1,000\", \"bbox\": [202, 151, 222, 161]}, {\"cell\": \"Min, roundness\", \"bbox\": [1, 174, 49, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 174, 102, 184]}, {\"cell\": \"0.1\", \"bbox\": [149, 174, 160, 184]}, {\"cell\": \"0.1\", \"bbox\": [207, 174, 218, 184]}, {\"cell\": \"Min. compactness\", \"bbox\": [1, 188, 62, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [94, 188, 100, 198]}, {\"cell\": \"0\", \"bbox\": [152, 188, 158, 198]}, {\"cell\": \"0.2\", \"bbox\": [206, 188, 218, 198]}, {\"cell\": \"Min. elongation\", \"bbox\": [1, 202, 55, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 202, 103, 212]}, {\"cell\": \"0.1\", \"bbox\": [149, 202, 161, 212]}, {\"cell\": \"0.2\", \"bbox\": [206, 202, 218, 212]}, {\"cell\": \"Remove light objects\", \"bbox\": [1, 216, 43, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [82, 216, 112, 235]}, {\"cell\": \"removes no nuclei\", \"bbox\": [139, 216, 170, 235]}, {\"cell\": \"removes no nuclei\", \"bbox\": [197, 216, 227, 235]}, {\"cell\": \"Weak (1+) threshold\", \"bbox\": [1, 239, 36, 258]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [90, 239, 104, 249]}, {\"cell\": \"210\", \"bbox\": [147, 239, 162, 249]}, {\"cell\": \"229\", \"bbox\": [205, 239, 219, 249]}, {\"cell\": \"Moderate (2+) threshold\", \"bbox\": [1, 262, 46, 281]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [90, 262, 104, 272]}, {\"cell\": \"188\", \"bbox\": [148, 262, 161, 272]}, {\"cell\": \"188\", \"bbox\": [206, 262, 219, 272]}, {\"cell\": \"Strong (3+) threshold\", \"bbox\": [1, 285, 37, 304]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [90, 285, 104, 295]}, {\"cell\": \"162\", \"bbox\": [148, 285, 161, 295]}, {\"cell\": \"162\", \"bbox\": [206, 285, 219, 295]}, {\"cell\": \"Black threshold\", \"bbox\": [1, 308, 49, 318]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [94, 308, 100, 318]}, {\"cell\": \"0\", \"bbox\": [152, 308, 158, 318]}, {\"cell\": \"0\", \"bbox\": [209, 308, 215, 318]}, {\"cell\": \"Edge trimming\", \"bbox\": [1, 322, 48, 332]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [81, 322, 113, 332]}, {\"cell\": \"Weighted\", \"bbox\": [139, 322, 171, 332]}, {\"cell\": \"Weighted\", \"bbox\": [196, 322, 228, 332]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4053156_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
ScenariosA*B*C*D*E*F*G*H*WD1
LocationMEA/CF/NGDMEA/CFP/NGDDI/CF/NGDDI/CFP/NGDMEA/CF/WHDMEA/CFP/WHDDI/CF/WHD[EMPTY_CELL]CFPCF
Mobile, AL0.40 (44.2)0.46 (22.5)0.49 (18.9)0.59 (−2.8)0.60 (−0.4)0.68 (−15.1)0.86 (−25.7)[EMPTY_CELL]22.122.3
Phoenix, AZ0.38 (48.9)0.43 (28.4)0.47 (23.5)0.56 (3.0)0.57 (4.2)0.64 (−9.2)0.79 (−21.2)[EMPTY_CELL]38.638.8
San Diego, CA0.41 (32.0)0.46 (16.0)0.51 (6.3)0.60 (−9.6)0.63 (−12.6)0.69 (−21.5)0.91 (−38.3)[EMPTY_CELL]32.833.0
Daytona Beach, FL0.38 (43.0)0.44 (22.7)0.47 (17.5)0.57 (−2.7)0.58 (−1.6)0.66 (−14.8)0.81 (−27.1)[EMPTY_CELL]24.124.3
Jacksonville, FL0.38 (43.1)0.44 (22.8)0.47 (17.7)0.57 (−2.6)0.58 (−1.5)0.66 (−14.7)0.81 (−27.0)[EMPTY_CELL]22.622.9
Key West, FL0.38 (43.6)0.44 (23.4)0.47 (18.2)0.57 (−2.1)0.57 (−1.0)0.65 (−14.2)0.80 (−26.4)[EMPTY_CELL]28.428.6
Miami, FL0.38 (42.7)0.44 (22.5)0.48 (17.3)0.57 (−3.0)0.58 (−1.9)0.66 (−15.1)0.81 (−27.3)[EMPTY_CELL]22.122.4
Tallahassee, FL0.39 (42.4)0.44 (22.2)0.48 (17.0)0.57 (−3.2)0.58 (−2.2)0.66 (−15.4)0.82 (−27.6)[EMPTY_CELL]20.821.1
Tampa, FL0.38 (43.2)0.44 (23.0)0.47 (17.8)0.57 (−2.5)0.58 (−1.4)0.65 (−14.6)0.81 (−26.8)[EMPTY_CELL]25.125.4
West Palm Beach, FL0.38 (43.0)0.44 (22.7)0.47 (17.6)0.57 (−2.7)0.58 (−1.6)0.66 (−14.8)0.81 (−27.0)[EMPTY_CELL]22.923.1
Savannah, GA0.39 (45.0)0.45 (23.2)0.49 (19.7)0.59 (−2.1)0.60 (0.4)0.68 (−14.3)0.86 (−24.9)[EMPTY_CELL]24.124.4
Baton Rouge, LA0.39 (39.2)0.45 (20.8)0.49 (13.6)0.58 (−4.7)0.60 (−5.4)0.67 (−16.8)0.86 (−31.0)[EMPTY_CELL]22.622.8
Lake Charles, LA0.39 (39.0)0.45 (20.6)0.49 (13.5)0.58 (−4.9)0.60 (−5.6)0.67 (−16.9)0.86 (−31.1)[EMPTY_CELL]23.023.2
New Orleans, LA0.40 (38.9)0.45 (20.5)0.49 (13.4)0.58 (−5.0)0.60 (−5.7)0.67 (−17.0)0.86 (−31.2)[EMPTY_CELL]22.122.3
Austin, TX0.39 (41.5)0.45 (20.6)0.49 (16.1)0.59 (−4.8)0.59 (−3.1)0.68 (−16.9)0.85 (−28.5)[EMPTY_CELL]29.830.0
Brownsville, TX0.39 (41.8)0.45 (20.9)0.49 (16.4)0.58 (−4.5)0.59 (−2.8)0.68 (−16.6)0.84 (−28.2)[EMPTY_CELL]30.630.8
Corpus Christi, TX0.39 (42.1)0.45 (21.3)0.48 (16.8)0.58 (−4.1)0.59 (−2.5)0.67 (−16.3)0.84 (−27.8)[EMPTY_CELL]29.729.9
Houston, TX0.39 (42.0)0.45 (21.1)0.49 (16.7)0.58 (−4.2)0.59 (−2.6)0.67 (−16.4)0.84 (−27.9)[EMPTY_CELL]25.625.8
Lufkin, TX0.39 (41.5)0.45 (20.6)0.49 (16.1)0.59 (−4.8)0.59 (−3.1)0.68 (−16.9)0.85 (−28.5)[EMPTY_CELL]26.126.3
Port Arthur, TX0.40 (35.2)0.46 (16.9)0.51 (9.7)0.60 (−8.6)0.62 (−9.4)0.70 (−20.6)0.91 (−34.9)[EMPTY_CELL]22.823.0
San Antonio, TX0.39 (41.3)0.45 (20.4)0.49 (16.0)0.59 (−4.9)0.60 (−3.3)0.68 (−17.1)0.85 (−28.6)[EMPTY_CELL]29.930.1
Victoria, TX0.39 (41.9)0.45 (21.0)0.49 (16.5)0.58 (−4.4)0.59 (−2.7)0.68 (−16.5)0.84 (−28.1)[EMPTY_CELL]27.427.7
\", \"cells\": [{\"cell\": \"Scenarios\", \"bbox\": [18, 4, 52, 12]}, {\"cell\": \"A*\", \"bbox\": [90, 4, 101, 12]}, {\"cell\": \"B*\", \"bbox\": [141, 4, 151, 12]}, {\"cell\": \"C*\", \"bbox\": [187, 4, 197, 12]}, {\"cell\": \"D*\", \"bbox\": [229, 4, 240, 12]}, {\"cell\": \"E*\", \"bbox\": [276, 4, 286, 12]}, {\"cell\": \"F*\", \"bbox\": [328, 4, 337, 12]}, {\"cell\": \"G*\", \"bbox\": [376, 4, 386, 12]}, {\"cell\": \"H*\", \"bbox\": [420, 4, 431, 12]}, {\"cell\": \"WD1\", \"bbox\": [459, 2, 476, 12]}, {\"cell\": \"Location\", \"bbox\": [19, 17, 51, 25]}, {\"cell\": \"MEA/CF/NGD\", \"bbox\": [80, 17, 111, 34]}, {\"cell\": \"MEA/CFP/NGD\", \"bbox\": [127, 17, 164, 34]}, {\"cell\": \"DI/CF/NGD\", \"bbox\": [180, 17, 204, 34]}, {\"cell\": \"DI/CFP/NGD\", \"bbox\": [220, 17, 248, 34]}, {\"cell\": \"MEA/CF/WHD\", \"bbox\": [265, 17, 297, 34]}, {\"cell\": \"MEA/CFP/WHD\", \"bbox\": [315, 17, 351, 34]}, {\"cell\": \"DI/CF/WHD\", \"bbox\": [369, 17, 393, 34]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [412, 17, 440, 34]}, {\"cell\": \"CFP\", \"bbox\": [451, 17, 466, 25]}, {\"cell\": \"CF\", \"bbox\": [472, 17, 482, 25]}, {\"cell\": \"Mobile, AL\", \"bbox\": [17, 40, 53, 50]}, {\"cell\": \"0.40 (44.2)\", \"bbox\": [78, 40, 113, 50]}, {\"cell\": \"0.46 (22.5)\", \"bbox\": [128, 40, 163, 50]}, {\"cell\": \"0.49 (18.9)\", \"bbox\": [175, 40, 209, 50]}, {\"cell\": \"0.59 (−2.8)\", \"bbox\": [217, 40, 252, 50]}, {\"cell\": \"0.60 (−0.4)\", \"bbox\": [264, 40, 299, 50]}, {\"cell\": \"0.68 (−15.1)\", \"bbox\": [313, 40, 352, 50]}, {\"cell\": \"0.86 (−25.7)\", \"bbox\": [362, 40, 401, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 40, 445, 50]}, {\"cell\": \"22.1\", \"bbox\": [451, 40, 466, 50]}, {\"cell\": \"22.3\", \"bbox\": [470, 40, 484, 50]}, {\"cell\": \"Phoenix, AZ\", \"bbox\": [15, 54, 55, 64]}, {\"cell\": \"0.38 (48.9)\", \"bbox\": [78, 54, 113, 64]}, {\"cell\": \"0.43 (28.4)\", \"bbox\": [128, 54, 163, 64]}, {\"cell\": \"0.47 (23.5)\", \"bbox\": [175, 54, 209, 64]}, {\"cell\": \"0.56 (3.0)\", \"bbox\": [219, 54, 249, 64]}, {\"cell\": \"0.57 (4.2)\", \"bbox\": [266, 54, 296, 64]}, {\"cell\": \"0.64 (−9.2)\", \"bbox\": [315, 54, 350, 64]}, {\"cell\": \"0.79 (−21.2)\", \"bbox\": [362, 54, 401, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 54, 445, 64]}, {\"cell\": \"38.6\", \"bbox\": [451, 54, 466, 64]}, {\"cell\": \"38.8\", \"bbox\": [470, 54, 484, 64]}, {\"cell\": \"San Diego, CA\", \"bbox\": [11, 68, 59, 78]}, {\"cell\": \"0.41 (32.0)\", \"bbox\": [78, 68, 113, 78]}, {\"cell\": \"0.46 (16.0)\", \"bbox\": [128, 68, 163, 78]}, {\"cell\": \"0.51 (6.3)\", \"bbox\": [177, 68, 207, 78]}, {\"cell\": \"0.60 (−9.6)\", \"bbox\": [217, 68, 252, 78]}, {\"cell\": \"0.63 (−12.6)\", \"bbox\": [262, 68, 301, 78]}, {\"cell\": \"0.69 (−21.5)\", \"bbox\": [313, 68, 352, 78]}, {\"cell\": \"0.91 (−38.3)\", \"bbox\": [362, 68, 401, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 68, 445, 78]}, {\"cell\": \"32.8\", \"bbox\": [451, 68, 466, 78]}, {\"cell\": \"33.0\", \"bbox\": [470, 68, 484, 78]}, {\"cell\": \"Daytona Beach, FL\", \"bbox\": [4, 82, 66, 92]}, {\"cell\": \"0.38 (43.0)\", \"bbox\": [78, 82, 113, 92]}, {\"cell\": \"0.44 (22.7)\", \"bbox\": [128, 82, 163, 92]}, {\"cell\": \"0.47 (17.5)\", \"bbox\": [175, 82, 209, 92]}, {\"cell\": \"0.57 (−2.7)\", \"bbox\": [217, 82, 252, 92]}, {\"cell\": \"0.58 (−1.6)\", \"bbox\": [264, 82, 299, 92]}, {\"cell\": \"0.66 (−14.8)\", \"bbox\": [313, 82, 352, 92]}, {\"cell\": \"0.81 (−27.1)\", \"bbox\": [362, 82, 401, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 82, 445, 92]}, {\"cell\": \"24.1\", \"bbox\": [451, 82, 466, 92]}, {\"cell\": \"24.3\", \"bbox\": [470, 82, 484, 92]}, {\"cell\": \"Jacksonville, FL\", \"bbox\": [10, 96, 60, 106]}, {\"cell\": \"0.38 (43.1)\", \"bbox\": [78, 96, 113, 106]}, {\"cell\": \"0.44 (22.8)\", \"bbox\": [128, 96, 163, 106]}, {\"cell\": \"0.47 (17.7)\", \"bbox\": [175, 96, 209, 106]}, {\"cell\": \"0.57 (−2.6)\", \"bbox\": [217, 96, 252, 106]}, {\"cell\": \"0.58 (−1.5)\", \"bbox\": [264, 96, 299, 106]}, {\"cell\": \"0.66 (−14.7)\", \"bbox\": [313, 96, 352, 106]}, {\"cell\": \"0.81 (−27.0)\", \"bbox\": [362, 96, 401, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 96, 445, 106]}, {\"cell\": \"22.6\", \"bbox\": [451, 96, 466, 106]}, {\"cell\": \"22.9\", \"bbox\": [470, 96, 484, 106]}, {\"cell\": \"Key West, FL\", \"bbox\": [14, 110, 56, 120]}, {\"cell\": \"0.38 (43.6)\", \"bbox\": [78, 110, 113, 120]}, {\"cell\": \"0.44 (23.4)\", \"bbox\": [128, 110, 163, 120]}, {\"cell\": \"0.47 (18.2)\", \"bbox\": [175, 110, 209, 120]}, {\"cell\": \"0.57 (−2.1)\", \"bbox\": [217, 110, 252, 120]}, {\"cell\": \"0.57 (−1.0)\", \"bbox\": [264, 110, 299, 120]}, {\"cell\": \"0.65 (−14.2)\", \"bbox\": [313, 110, 352, 120]}, {\"cell\": \"0.80 (−26.4)\", \"bbox\": [362, 110, 401, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 110, 445, 120]}, {\"cell\": \"28.4\", \"bbox\": [451, 110, 466, 120]}, {\"cell\": \"28.6\", \"bbox\": [470, 110, 484, 120]}, {\"cell\": \"Miami, FL\", \"bbox\": [19, 124, 51, 134]}, {\"cell\": \"0.38 (42.7)\", \"bbox\": [78, 124, 113, 134]}, {\"cell\": \"0.44 (22.5)\", \"bbox\": [128, 124, 163, 134]}, {\"cell\": \"0.48 (17.3)\", \"bbox\": [175, 124, 209, 134]}, {\"cell\": \"0.57 (−3.0)\", \"bbox\": [217, 124, 252, 134]}, {\"cell\": \"0.58 (−1.9)\", \"bbox\": [264, 124, 299, 134]}, {\"cell\": \"0.66 (−15.1)\", \"bbox\": [313, 124, 352, 134]}, {\"cell\": \"0.81 (−27.3)\", \"bbox\": [362, 124, 401, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 124, 445, 134]}, {\"cell\": \"22.1\", \"bbox\": [451, 124, 466, 134]}, {\"cell\": \"22.4\", \"bbox\": [470, 124, 484, 134]}, {\"cell\": \"Tallahassee, FL\", \"bbox\": [11, 138, 59, 148]}, {\"cell\": \"0.39 (42.4)\", \"bbox\": [78, 138, 113, 148]}, {\"cell\": \"0.44 (22.2)\", \"bbox\": [128, 138, 163, 148]}, {\"cell\": \"0.48 (17.0)\", \"bbox\": [175, 138, 209, 148]}, {\"cell\": \"0.57 (−3.2)\", \"bbox\": [217, 138, 252, 148]}, {\"cell\": \"0.58 (−2.2)\", \"bbox\": [264, 138, 299, 148]}, {\"cell\": \"0.66 (−15.4)\", \"bbox\": [313, 138, 352, 148]}, {\"cell\": \"0.82 (−27.6)\", \"bbox\": [362, 138, 401, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 138, 445, 148]}, {\"cell\": \"20.8\", \"bbox\": [451, 138, 466, 148]}, {\"cell\": \"21.1\", \"bbox\": [470, 138, 484, 148]}, {\"cell\": \"Tampa, FL\", \"bbox\": [18, 152, 52, 162]}, {\"cell\": \"0.38 (43.2)\", \"bbox\": [78, 152, 113, 162]}, {\"cell\": \"0.44 (23.0)\", \"bbox\": [128, 152, 163, 162]}, {\"cell\": \"0.47 (17.8)\", \"bbox\": [175, 152, 209, 162]}, {\"cell\": \"0.57 (−2.5)\", \"bbox\": [217, 152, 252, 162]}, {\"cell\": \"0.58 (−1.4)\", \"bbox\": [264, 152, 299, 162]}, {\"cell\": \"0.65 (−14.6)\", \"bbox\": [313, 152, 352, 162]}, {\"cell\": \"0.81 (−26.8)\", \"bbox\": [362, 152, 401, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 152, 445, 162]}, {\"cell\": \"25.1\", \"bbox\": [451, 152, 466, 162]}, {\"cell\": \"25.4\", \"bbox\": [470, 152, 484, 162]}, {\"cell\": \"West Palm Beach, FL\", \"bbox\": [1, 166, 69, 176]}, {\"cell\": \"0.38 (43.0)\", \"bbox\": [78, 166, 113, 176]}, {\"cell\": \"0.44 (22.7)\", \"bbox\": [128, 166, 163, 176]}, {\"cell\": \"0.47 (17.6)\", \"bbox\": [175, 166, 209, 176]}, {\"cell\": \"0.57 (−2.7)\", \"bbox\": [217, 166, 252, 176]}, {\"cell\": \"0.58 (−1.6)\", \"bbox\": [264, 166, 299, 176]}, {\"cell\": \"0.66 (−14.8)\", \"bbox\": [313, 166, 352, 176]}, {\"cell\": \"0.81 (−27.0)\", \"bbox\": [362, 166, 401, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 166, 445, 176]}, {\"cell\": \"22.9\", \"bbox\": [451, 166, 466, 176]}, {\"cell\": \"23.1\", \"bbox\": [470, 166, 484, 176]}, {\"cell\": \"Savannah, GA\", \"bbox\": [12, 180, 58, 190]}, {\"cell\": \"0.39 (45.0)\", \"bbox\": [78, 180, 113, 190]}, {\"cell\": \"0.45 (23.2)\", \"bbox\": [128, 180, 163, 190]}, {\"cell\": \"0.49 (19.7)\", \"bbox\": [175, 180, 209, 190]}, {\"cell\": \"0.59 (−2.1)\", \"bbox\": [217, 180, 252, 190]}, {\"cell\": \"0.60 (0.4)\", \"bbox\": [266, 180, 296, 190]}, {\"cell\": \"0.68 (−14.3)\", \"bbox\": [313, 180, 352, 190]}, {\"cell\": \"0.86 (−24.9)\", \"bbox\": [362, 180, 401, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 180, 445, 190]}, {\"cell\": \"24.1\", \"bbox\": [451, 180, 466, 190]}, {\"cell\": \"24.4\", \"bbox\": [470, 180, 484, 190]}, {\"cell\": \"Baton Rouge, LA\", \"bbox\": [7, 194, 63, 204]}, {\"cell\": \"0.39 (39.2)\", \"bbox\": [78, 194, 113, 204]}, {\"cell\": \"0.45 (20.8)\", \"bbox\": [128, 194, 163, 204]}, {\"cell\": \"0.49 (13.6)\", \"bbox\": [175, 194, 209, 204]}, {\"cell\": \"0.58 (−4.7)\", \"bbox\": [217, 194, 252, 204]}, {\"cell\": \"0.60 (−5.4)\", \"bbox\": [264, 194, 299, 204]}, {\"cell\": \"0.67 (−16.8)\", \"bbox\": [313, 194, 352, 204]}, {\"cell\": \"0.86 (−31.0)\", \"bbox\": [362, 194, 401, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 194, 445, 204]}, {\"cell\": \"22.6\", \"bbox\": [451, 194, 466, 204]}, {\"cell\": \"22.8\", \"bbox\": [470, 194, 484, 204]}, {\"cell\": \"Lake Charles, LA\", \"bbox\": [8, 208, 62, 218]}, {\"cell\": \"0.39 (39.0)\", \"bbox\": [78, 208, 113, 218]}, {\"cell\": \"0.45 (20.6)\", \"bbox\": [128, 208, 163, 218]}, {\"cell\": \"0.49 (13.5)\", \"bbox\": [175, 208, 209, 218]}, {\"cell\": \"0.58 (−4.9)\", \"bbox\": [217, 208, 252, 218]}, {\"cell\": \"0.60 (−5.6)\", \"bbox\": [264, 208, 299, 218]}, {\"cell\": \"0.67 (−16.9)\", \"bbox\": [313, 208, 352, 218]}, {\"cell\": \"0.86 (−31.1)\", \"bbox\": [362, 208, 401, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 208, 445, 218]}, {\"cell\": \"23.0\", \"bbox\": [451, 208, 466, 218]}, {\"cell\": \"23.2\", \"bbox\": [470, 208, 484, 218]}, {\"cell\": \"New Orleans, LA\", \"bbox\": [8, 222, 62, 232]}, {\"cell\": \"0.40 (38.9)\", \"bbox\": [78, 222, 113, 232]}, {\"cell\": \"0.45 (20.5)\", \"bbox\": [128, 222, 163, 232]}, {\"cell\": \"0.49 (13.4)\", \"bbox\": [175, 222, 209, 232]}, {\"cell\": \"0.58 (−5.0)\", \"bbox\": [217, 222, 252, 232]}, {\"cell\": \"0.60 (−5.7)\", \"bbox\": [264, 222, 299, 232]}, {\"cell\": \"0.67 (−17.0)\", \"bbox\": [313, 222, 352, 232]}, {\"cell\": \"0.86 (−31.2)\", \"bbox\": [362, 222, 401, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 222, 445, 232]}, {\"cell\": \"22.1\", \"bbox\": [451, 222, 466, 232]}, {\"cell\": \"22.3\", \"bbox\": [470, 222, 484, 232]}, {\"cell\": \"Austin, TX\", \"bbox\": [18, 236, 52, 246]}, {\"cell\": \"0.39 (41.5)\", \"bbox\": [78, 236, 113, 246]}, {\"cell\": \"0.45 (20.6)\", \"bbox\": [128, 236, 163, 246]}, {\"cell\": \"0.49 (16.1)\", \"bbox\": [175, 236, 209, 246]}, {\"cell\": \"0.59 (−4.8)\", \"bbox\": [217, 236, 252, 246]}, {\"cell\": \"0.59 (−3.1)\", \"bbox\": [264, 236, 299, 246]}, {\"cell\": \"0.68 (−16.9)\", \"bbox\": [313, 236, 352, 246]}, {\"cell\": \"0.85 (−28.5)\", \"bbox\": [362, 236, 401, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 236, 445, 246]}, {\"cell\": \"29.8\", \"bbox\": [451, 236, 466, 246]}, {\"cell\": \"30.0\", \"bbox\": [470, 236, 484, 246]}, {\"cell\": \"Brownsville, TX\", \"bbox\": [10, 250, 60, 260]}, {\"cell\": \"0.39 (41.8)\", \"bbox\": [78, 250, 113, 260]}, {\"cell\": \"0.45 (20.9)\", \"bbox\": [128, 250, 163, 260]}, {\"cell\": \"0.49 (16.4)\", \"bbox\": [175, 250, 209, 260]}, {\"cell\": \"0.58 (−4.5)\", \"bbox\": [217, 250, 252, 260]}, {\"cell\": \"0.59 (−2.8)\", \"bbox\": [264, 250, 299, 260]}, {\"cell\": \"0.68 (−16.6)\", \"bbox\": [313, 250, 352, 260]}, {\"cell\": \"0.84 (−28.2)\", \"bbox\": [362, 250, 401, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 250, 445, 260]}, {\"cell\": \"30.6\", \"bbox\": [451, 250, 466, 260]}, {\"cell\": \"30.8\", \"bbox\": [470, 250, 484, 260]}, {\"cell\": \"Corpus Christi, TX\", \"bbox\": [6, 264, 64, 274]}, {\"cell\": \"0.39 (42.1)\", \"bbox\": [78, 264, 113, 274]}, {\"cell\": \"0.45 (21.3)\", \"bbox\": [128, 264, 163, 274]}, {\"cell\": \"0.48 (16.8)\", \"bbox\": [175, 264, 209, 274]}, {\"cell\": \"0.58 (−4.1)\", \"bbox\": [217, 264, 252, 274]}, {\"cell\": \"0.59 (−2.5)\", \"bbox\": [264, 264, 299, 274]}, {\"cell\": \"0.67 (−16.3)\", \"bbox\": [313, 264, 352, 274]}, {\"cell\": \"0.84 (−27.8)\", \"bbox\": [362, 264, 401, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 264, 445, 274]}, {\"cell\": \"29.7\", \"bbox\": [451, 264, 466, 274]}, {\"cell\": \"29.9\", \"bbox\": [470, 264, 484, 274]}, {\"cell\": \"Houston, TX\", \"bbox\": [15, 278, 55, 288]}, {\"cell\": \"0.39 (42.0)\", \"bbox\": [78, 278, 113, 288]}, {\"cell\": \"0.45 (21.1)\", \"bbox\": [128, 278, 163, 288]}, {\"cell\": \"0.49 (16.7)\", \"bbox\": [175, 278, 209, 288]}, {\"cell\": \"0.58 (−4.2)\", \"bbox\": [217, 278, 252, 288]}, {\"cell\": \"0.59 (−2.6)\", \"bbox\": [264, 278, 299, 288]}, {\"cell\": \"0.67 (−16.4)\", \"bbox\": [313, 278, 352, 288]}, {\"cell\": \"0.84 (−27.9)\", \"bbox\": [362, 278, 401, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 278, 445, 288]}, {\"cell\": \"25.6\", \"bbox\": [451, 278, 466, 288]}, {\"cell\": \"25.8\", \"bbox\": [470, 278, 484, 288]}, {\"cell\": \"Lufkin, TX\", \"bbox\": [19, 292, 51, 302]}, {\"cell\": \"0.39 (41.5)\", \"bbox\": [78, 292, 113, 302]}, {\"cell\": \"0.45 (20.6)\", \"bbox\": [128, 292, 163, 302]}, {\"cell\": \"0.49 (16.1)\", \"bbox\": [175, 292, 209, 302]}, {\"cell\": \"0.59 (−4.8)\", \"bbox\": [217, 292, 252, 302]}, {\"cell\": \"0.59 (−3.1)\", \"bbox\": [264, 292, 299, 302]}, {\"cell\": \"0.68 (−16.9)\", \"bbox\": [313, 292, 352, 302]}, {\"cell\": \"0.85 (−28.5)\", \"bbox\": [362, 292, 401, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 292, 445, 302]}, {\"cell\": \"26.1\", \"bbox\": [451, 292, 466, 302]}, {\"cell\": \"26.3\", \"bbox\": [470, 292, 484, 302]}, {\"cell\": \"Port Arthur, TX\", \"bbox\": [10, 306, 60, 316]}, {\"cell\": \"0.40 (35.2)\", \"bbox\": [78, 306, 113, 316]}, {\"cell\": \"0.46 (16.9)\", \"bbox\": [128, 306, 163, 316]}, {\"cell\": \"0.51 (9.7)\", \"bbox\": [177, 306, 207, 316]}, {\"cell\": \"0.60 (−8.6)\", \"bbox\": [217, 306, 252, 316]}, {\"cell\": \"0.62 (−9.4)\", \"bbox\": [264, 306, 299, 316]}, {\"cell\": \"0.70 (−20.6)\", \"bbox\": [313, 306, 352, 316]}, {\"cell\": \"0.91 (−34.9)\", \"bbox\": [362, 306, 401, 316]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 306, 445, 316]}, {\"cell\": \"22.8\", \"bbox\": [451, 306, 466, 316]}, {\"cell\": \"23.0\", \"bbox\": [470, 306, 484, 316]}, {\"cell\": \"San Antonio, TX\", \"bbox\": [8, 320, 62, 330]}, {\"cell\": \"0.39 (41.3)\", \"bbox\": [78, 320, 113, 330]}, {\"cell\": \"0.45 (20.4)\", \"bbox\": [128, 320, 163, 330]}, {\"cell\": \"0.49 (16.0)\", \"bbox\": [175, 320, 209, 330]}, {\"cell\": \"0.59 (−4.9)\", \"bbox\": [217, 320, 252, 330]}, {\"cell\": \"0.60 (−3.3)\", \"bbox\": [264, 320, 299, 330]}, {\"cell\": \"0.68 (−17.1)\", \"bbox\": [313, 320, 352, 330]}, {\"cell\": \"0.85 (−28.6)\", \"bbox\": [362, 320, 401, 330]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 320, 445, 330]}, {\"cell\": \"29.9\", \"bbox\": [451, 320, 466, 330]}, {\"cell\": \"30.1\", \"bbox\": [470, 320, 484, 330]}, {\"cell\": \"Victoria, TX\", \"bbox\": [16, 334, 54, 344]}, {\"cell\": \"0.39 (41.9)\", \"bbox\": [78, 334, 113, 344]}, {\"cell\": \"0.45 (21.0)\", \"bbox\": [128, 334, 163, 344]}, {\"cell\": \"0.49 (16.5)\", \"bbox\": [175, 334, 209, 344]}, {\"cell\": \"0.58 (−4.4)\", \"bbox\": [217, 334, 252, 344]}, {\"cell\": \"0.59 (−2.7)\", \"bbox\": [264, 334, 299, 344]}, {\"cell\": \"0.68 (−16.5)\", \"bbox\": [313, 334, 352, 344]}, {\"cell\": \"0.84 (−28.1)\", \"bbox\": [362, 334, 401, 344]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 334, 445, 344]}, {\"cell\": \"27.4\", \"bbox\": [451, 334, 466, 344]}, {\"cell\": \"27.7\", \"bbox\": [470, 334, 484, 344]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3693881_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
NumberLocationAcupuncture pointAnatomic structure
1Half way between the medial malleolus and the achilles tendon[EMPTY_CELL]Tendino-muscular segment of the flexor digitorum longus
2Depression directly inferior to the medial[EMPTY_CELL]Tendon of the flexor digitorum longus on the talus
3From the heel rising to the medial malleolus[EMPTY_CELL]abductor hallucis muscle
4On the lateral ankle, in the depression midway between the external malleolus and the tendon calcaneus[EMPTY_CELL]Tendino-muscular segment of the peroneus brevis
5Depression directly inferior to the lateral malleolus[EMPTY_CELL]Tendon of the peroneus longus on the lateral ankle
6Inferior and posterior to the lateral malleolus[EMPTY_CELL]Lateral surface of the calcaneus
7From the heel rising to the lateral malleolus[EMPTY_CELL]abductor digiti minimi muscle
8Slightly inferior and anterior to the tip of the 11th rib[EMPTY_CELL]obliquus externus abdominis muscle
9Mid point between the 11th rib and the iliac crest[EMPTY_CELL]obliquus externus abdominis muscle
10Medial and inferior to the ASIS[EMPTY_CELL]obliquus internus abdominis muscle
11App. 1 cm medial and inferior to Gall bladder 27[EMPTY_CELL]obliquus internus abdominis muscle
12Mid point between the greater trochanter and the ASIS[EMPTY_CELL]glutaeus medius muscle
\", \"cells\": [{\"cell\": \"Number\", \"bbox\": [5, 5, 34, 13]}, {\"cell\": \"Location\", \"bbox\": [40, 5, 71, 13]}, {\"cell\": \"Acupuncture point\", \"bbox\": [262, 5, 325, 13]}, {\"cell\": \"Anatomic structure\", \"bbox\": [332, 5, 398, 13]}, {\"cell\": \"1\", \"bbox\": [17, 25, 22, 34]}, {\"cell\": \"Half way between the medial malleolus and the achilles tendon\", \"bbox\": [40, 25, 220, 34]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [262, 25, 289, 34]}, {\"cell\": \"Tendino-muscular segment of the flexor digitorum longus\", \"bbox\": [332, 25, 497, 34]}, {\"cell\": \"2\", \"bbox\": [17, 34, 22, 43]}, {\"cell\": \"Depression directly inferior to the medial\", \"bbox\": [40, 34, 161, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [262, 34, 289, 43]}, {\"cell\": \"Tendon of the flexor digitorum longus on the talus\", \"bbox\": [332, 34, 478, 43]}, {\"cell\": \"3\", \"bbox\": [17, 43, 22, 52]}, {\"cell\": \"From the heel rising to the medial malleolus\", \"bbox\": [40, 43, 167, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [261, 43, 310, 52]}, {\"cell\": \"abductor hallucis muscle\", \"bbox\": [331, 43, 403, 52]}, {\"cell\": \"4\", \"bbox\": [17, 52, 22, 61]}, {\"cell\": \"On the lateral ankle, in the depression midway between the external malleolus and the tendon calcaneus\", \"bbox\": [40, 52, 237, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [262, 52, 294, 61]}, {\"cell\": \"Tendino-muscular segment of the peroneus brevis\", \"bbox\": [332, 52, 476, 61]}, {\"cell\": \"5\", \"bbox\": [17, 69, 22, 77]}, {\"cell\": \"Depression directly inferior to the lateral malleolus\", \"bbox\": [40, 69, 188, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [262, 69, 294, 77]}, {\"cell\": \"Tendon of the peroneus longus on the lateral ankle\", \"bbox\": [332, 69, 479, 77]}, {\"cell\": \"6\", \"bbox\": [17, 78, 22, 86]}, {\"cell\": \"Inferior and posterior to the lateral malleolus\", \"bbox\": [40, 78, 171, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [262, 78, 294, 86]}, {\"cell\": \"Lateral surface of the calcaneus\", \"bbox\": [332, 78, 422, 86]}, {\"cell\": \"7\", \"bbox\": [17, 87, 22, 95]}, {\"cell\": \"From the heel rising to the lateral malleolus\", \"bbox\": [40, 87, 166, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [262, 87, 316, 95]}, {\"cell\": \"abductor digiti minimi muscle\", \"bbox\": [332, 87, 417, 95]}, {\"cell\": \"8\", \"bbox\": [17, 96, 22, 104]}, {\"cell\": \"Slightly inferior and anterior to the tip of the 11th rib\", \"bbox\": [40, 96, 194, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [261, 96, 287, 104]}, {\"cell\": \"obliquus externus abdominis muscle\", \"bbox\": [331, 96, 436, 104]}, {\"cell\": \"9\", \"bbox\": [17, 105, 22, 113]}, {\"cell\": \"Mid point between the 11th rib and the iliac crest\", \"bbox\": [40, 105, 183, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [262, 105, 307, 113]}, {\"cell\": \"obliquus externus abdominis muscle\", \"bbox\": [332, 105, 436, 113]}, {\"cell\": \"10\", \"bbox\": [15, 114, 24, 122]}, {\"cell\": \"Medial and inferior to the ASIS\", \"bbox\": [40, 114, 130, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [262, 114, 307, 122]}, {\"cell\": \"obliquus internus abdominis muscle\", \"bbox\": [331, 114, 434, 122]}, {\"cell\": \"11\", \"bbox\": [15, 123, 24, 131]}, {\"cell\": \"App. 1 cm medial and inferior to Gall bladder 27\", \"bbox\": [40, 123, 180, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [262, 123, 307, 131]}, {\"cell\": \"obliquus internus abdominis muscle\", \"bbox\": [332, 123, 434, 131]}, {\"cell\": \"12\", \"bbox\": [15, 132, 24, 140]}, {\"cell\": \"Mid point between the greater trochanter and the ASIS\", \"bbox\": [40, 132, 200, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [262, 132, 307, 140]}, {\"cell\": \"glutaeus medius muscle\", \"bbox\": [332, 132, 400, 140]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC1854901_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Informed consent[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]DirectSurrogateOR (95% CI)POR (95% CI)*P*
[EMPTY_CELL]N = 166N = 220[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]25 (15.0)117 (51.3)5.99 (3.64-9.85)<0.00015.81 (3.46-9.76)<0.0001
[EMPTY_CELL]21 (12.6)58 (25.4)2.37 (1.37-4.10)0.0021.95 (1.11-3.44)0.021
[EMPTY_CELL]36 (21.7)144 (65.5)6.84 (4.31-10.86)<0.00015.76 (3.57-9.28)<0.0001
[EMPTY_CELL]0 (0.0)12 (5.5)----
[EMPTY_CELL]N = 161N = 212[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]10 (6.0)44 (19.3)3.75 (1.83-7.70)0.00013.88 (1.85-8.15)0.0003
[EMPTY_CELL]8 (4.8)35 (15.4)3.60 (1.63-7.99)0.0023.11 (1.38-7.01)0.006
[EMPTY_CELL]27 (16.8)122 (57.6)6.73 (4.10-11.04)<0.00015.44 (3.24-9.12)<0.0001
[EMPTY_CELL]4 (2.5)41 (19.3)9.41 (3.30-26.87)<0.00016.36 (2.18-18.58)<0.0001
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Informed consent\", \"bbox\": [143, 4, 207, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Direct\", \"bbox\": [143, 17, 166, 27]}, {\"cell\": \"Surrogate\", \"bbox\": [195, 17, 231, 27]}, {\"cell\": \"OR (95% CI)\", \"bbox\": [255, 17, 298, 27]}, {\"cell\": \"P\", \"bbox\": [331, 17, 337, 25]}, {\"cell\": \"OR (95% CI)*\", \"bbox\": [381, 17, 428, 27]}, {\"cell\": \"P*\", \"bbox\": [457, 17, 467, 25]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 30, 59, 40]}, {\"cell\": \"N = 166\", \"bbox\": [143, 30, 170, 40]}, {\"cell\": \"N = 220\", \"bbox\": [195, 30, 222, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 44, 36, 54]}, {\"cell\": \"25 (15.0)\", \"bbox\": [143, 44, 172, 54]}, {\"cell\": \"117 (51.3)\", \"bbox\": [195, 44, 228, 54]}, {\"cell\": \"5.99 (3.64-9.85)\", \"bbox\": [255, 44, 304, 54]}, {\"cell\": \"<0.0001\", \"bbox\": [331, 44, 358, 54]}, {\"cell\": \"5.81 (3.46-9.76)\", \"bbox\": [381, 44, 430, 54]}, {\"cell\": \"<0.0001\", \"bbox\": [457, 44, 484, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 58, 120, 68]}, {\"cell\": \"21 (12.6)\", \"bbox\": [143, 58, 172, 68]}, {\"cell\": \"58 (25.4)\", \"bbox\": [195, 58, 224, 68]}, {\"cell\": \"2.37 (1.37-4.10)\", \"bbox\": [255, 58, 304, 68]}, {\"cell\": \"0.002\", \"bbox\": [331, 58, 349, 68]}, {\"cell\": \"1.95 (1.11-3.44)\", \"bbox\": [381, 58, 430, 68]}, {\"cell\": \"0.021\", \"bbox\": [457, 58, 476, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 72, 81, 82]}, {\"cell\": \"36 (21.7)\", \"bbox\": [143, 72, 172, 82]}, {\"cell\": \"144 (65.5)\", \"bbox\": [195, 72, 228, 82]}, {\"cell\": \"6.84 (4.31-10.86)\", \"bbox\": [255, 72, 308, 82]}, {\"cell\": \"<0.0001\", \"bbox\": [331, 72, 358, 82]}, {\"cell\": \"5.76 (3.57-9.28)\", \"bbox\": [381, 72, 430, 82]}, {\"cell\": \"<0.0001\", \"bbox\": [457, 72, 484, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 86, 52, 96]}, {\"cell\": \"0 (0.0)\", \"bbox\": [143, 86, 165, 96]}, {\"cell\": \"12 (5.5)\", \"bbox\": [195, 86, 221, 96]}, {\"cell\": \"-\", \"bbox\": [255, 86, 259, 96]}, {\"cell\": \"-\", \"bbox\": [331, 86, 335, 96]}, {\"cell\": \"-\", \"bbox\": [381, 86, 385, 96]}, {\"cell\": \"-\", \"bbox\": [457, 86, 462, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 100, 63, 110]}, {\"cell\": \"N = 161\", \"bbox\": [143, 100, 170, 110]}, {\"cell\": \"N = 212\", \"bbox\": [195, 100, 222, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 114, 36, 124]}, {\"cell\": \"10 (6.0)\", \"bbox\": [143, 114, 168, 124]}, {\"cell\": \"44 (19.3)\", \"bbox\": [195, 114, 224, 124]}, {\"cell\": \"3.75 (1.83-7.70)\", \"bbox\": [255, 114, 304, 124]}, {\"cell\": \"0.0001\", \"bbox\": [331, 114, 353, 124]}, {\"cell\": \"3.88 (1.85-8.15)\", \"bbox\": [381, 114, 430, 124]}, {\"cell\": \"0.0003\", \"bbox\": [457, 114, 480, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 128, 120, 138]}, {\"cell\": \"8 (4.8)\", \"bbox\": [143, 128, 165, 138]}, {\"cell\": \"35 (15.4)\", \"bbox\": [195, 128, 224, 138]}, {\"cell\": \"3.60 (1.63-7.99)\", \"bbox\": [255, 128, 304, 138]}, {\"cell\": \"0.002\", \"bbox\": [331, 128, 349, 138]}, {\"cell\": \"3.11 (1.38-7.01)\", \"bbox\": [381, 128, 430, 138]}, {\"cell\": \"0.006\", \"bbox\": [457, 128, 476, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 142, 81, 152]}, {\"cell\": \"27 (16.8)\", \"bbox\": [143, 142, 172, 152]}, {\"cell\": \"122 (57.6)\", \"bbox\": [195, 142, 228, 152]}, {\"cell\": \"6.73 (4.10-11.04)\", \"bbox\": [255, 142, 308, 152]}, {\"cell\": \"<0.0001\", \"bbox\": [331, 142, 358, 152]}, {\"cell\": \"5.44 (3.24-9.12)\", \"bbox\": [381, 142, 430, 152]}, {\"cell\": \"<0.0001\", \"bbox\": [457, 142, 484, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 156, 52, 166]}, {\"cell\": \"4 (2.5)\", \"bbox\": [143, 156, 165, 166]}, {\"cell\": \"41 (19.3)\", \"bbox\": [195, 156, 224, 166]}, {\"cell\": \"9.41 (3.30-26.87)\", \"bbox\": [255, 156, 308, 166]}, {\"cell\": \"<0.0001\", \"bbox\": [331, 156, 358, 166]}, {\"cell\": \"6.36 (2.18-18.58)\", \"bbox\": [381, 156, 434, 166]}, {\"cell\": \"<0.0001\", \"bbox\": [457, 156, 484, 166]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4415257_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariableStandard Dose Peginterferon α-2a + Ribavirin (n = 1985)Standard Dose Peginterferon α-2b + Ribavirin (n = 1733)P value
[EMPTY_CELL]No. (%)Mean ± SDNo. (%)[EMPTY_CELL][EMPTY_CELL]
Gender[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.32
Male1593 (80.3)[EMPTY_CELL]1413 (81.5)[EMPTY_CELL][EMPTY_CELL]
Female392 (19.7)[EMPTY_CELL]320 (18.5)[EMPTY_CELL][EMPTY_CELL]
Age[EMPTY_CELL]42.10 ±9.816[EMPTY_CELL][EMPTY_CELL]0.201
< 501430 (78.4)[EMPTY_CELL]1268 (79.8)[EMPTY_CELL][EMPTY_CELL]
> 50395 (21.6)[EMPTY_CELL]321 (20.2)[EMPTY_CELL][EMPTY_CELL]
BMI[EMPTY_CELL]28.2487 ±4.27326[EMPTY_CELL][EMPTY_CELL]0.622
< 24.9436 (24.2)[EMPTY_CELL]375 (24.0)[EMPTY_CELL][EMPTY_CELL]
25-29.9743 (41.2)[EMPTY_CELL]653 (41.7)[EMPTY_CELL][EMPTY_CELL]
30-35518 (28.7)[EMPTY_CELL]453 (28.9)[EMPTY_CELL][EMPTY_CELL]
> 35105 (5.8)[EMPTY_CELL]84 (5.4)[EMPTY_CELL][EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Variable\", \"bbox\": [5, 4, 39, 15]}, {\"cell\": \"Standard Dose Peginterferon α-2a + Ribavirin (n = 1985)\", \"bbox\": [83, 2, 220, 25]}, {\"cell\": \"Standard Dose Peginterferon α-2b + Ribavirin (n = 1733)\", \"bbox\": [240, 2, 377, 25]}, {\"cell\": \"P value\", \"bbox\": [397, 4, 427, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No. (%)\", \"bbox\": [83, 29, 109, 39]}, {\"cell\": \"Mean ± SD\", \"bbox\": [162, 29, 200, 39]}, {\"cell\": \"No. (%)\", \"bbox\": [240, 29, 266, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [319, 29, 356, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Gender\", \"bbox\": [5, 43, 35, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.32\", \"bbox\": [397, 43, 414, 53]}, {\"cell\": \"Male\", \"bbox\": [30, 57, 49, 67]}, {\"cell\": \"1593 (80.3)\", \"bbox\": [83, 57, 122, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1413 (81.5)\", \"bbox\": [240, 57, 275, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Female\", \"bbox\": [30, 71, 57, 81]}, {\"cell\": \"392 (19.7)\", \"bbox\": [83, 71, 117, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"320 (18.5)\", \"bbox\": [240, 71, 275, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Age\", \"bbox\": [5, 85, 20, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"42.10 ±9.816\", \"bbox\": [162, 85, 205, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [319, 85, 362, 95]}, {\"cell\": \"0.201\", \"bbox\": [397, 85, 418, 95]}, {\"cell\": \"< 50\", \"bbox\": [30, 99, 47, 109]}, {\"cell\": \"1430 (78.4)\", \"bbox\": [83, 99, 122, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1268 (79.8)\", \"bbox\": [240, 99, 279, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"> 50\", \"bbox\": [30, 112, 47, 123]}, {\"cell\": \"395 (21.6)\", \"bbox\": [83, 113, 117, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"321 (20.2)\", \"bbox\": [240, 113, 274, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"BMI\", \"bbox\": [5, 127, 21, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"28.2487 ±4.27326\", \"bbox\": [162, 127, 222, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [319, 127, 377, 137]}, {\"cell\": \"0.622\", \"bbox\": [397, 127, 419, 137]}, {\"cell\": \"< 24.9\", \"bbox\": [30, 141, 53, 151]}, {\"cell\": \"436 (24.2)\", \"bbox\": [83, 141, 119, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"375 (24.0)\", \"bbox\": [240, 141, 276, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"25-29.9\", \"bbox\": [30, 155, 56, 165]}, {\"cell\": \"743 (41.2)\", \"bbox\": [83, 155, 117, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"653 (41.7)\", \"bbox\": [240, 155, 274, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"30-35\", \"bbox\": [30, 169, 50, 179]}, {\"cell\": \"518 (28.7)\", \"bbox\": [83, 169, 117, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"453 (28.9)\", \"bbox\": [240, 169, 276, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"> 35\", \"bbox\": [30, 182, 46, 194]}, {\"cell\": \"105 (5.8)\", \"bbox\": [83, 183, 114, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"84 (5.4)\", \"bbox\": [240, 183, 268, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3732660_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
MapperTimeBenchmark category[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][min:sec]All[%]All-best[%]Any-best[%]
Bowtie2 a0:1890.1897.6896.6092.2595.8796.4696.1494.4899.26100.00[EMPTY_CELL]97.51
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]78.9552.7121.13[EMPTY_CELL]93.6992.7692.27[EMPTY_CELL]96.63[EMPTY_CELL]95.38
BWA b0:4992.28100.0099.8196.7598.84100.0099.8099.4098.89100.00[EMPTY_CELL]99.50
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]79.4744.9116.65[EMPTY_CELL]93.6178.4270.67[EMPTY_CELL]93.70[EMPTY_CELL]71.17
GEM c0:1492.7598.2597.6595.6998.1598.2798.2197.9799.3699.42[EMPTY_CELL]99.24
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]88.4467.0633.44[EMPTY_CELL]98.1196.8795.87[EMPTY_CELL]99.42[EMPTY_CELL]97.33
Bowtie 2—99.73100.00100.00100.0099.97100.00100.00100.0099.97100.00[EMPTY_CELL]100.00
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]99.9699.5395.45[EMPTY_CELL]99.9599.6797.89[EMPTY_CELL]99.95[EMPTY_CELL]97.89
BWA40:3297.80100.0099.9799.6298.95100.0099.9799.6298.95100.00[EMPTY_CELL]99.62
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]94.2683.5375.30[EMPTY_CELL]93.8279.0370.93[EMPTY_CELL]93.82[EMPTY_CELL]71.17
GEM3:1596.0298.2598.2498.0998.1598.2798.1898.0199.3599.42[EMPTY_CELL]99.24
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]95.9287.0266.35[EMPTY_CELL]98.1797.0295.94[EMPTY_CELL]99.44[EMPTY_CELL]97.17
Masai17:4399.86100.00100.00100.0099.96100.00100.00100.0099.97100.00[EMPTY_CELL]100.00
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]99.8799.5497.87[EMPTY_CELL]99.8599.2998.59[EMPTY_CELL]99.85[EMPTY_CELL]98.70
Hobbes 27:5199.8299.9899.9799.9799.9799.9899.9799.9799.99100.00[EMPTY_CELL]99.98
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]99.9899.8797.20[EMPTY_CELL]99.9799.9899.80[EMPTY_CELL]99.97[EMPTY_CELL]99.92
mrFAST12:3299.32100.00100.00100.0099.42100.00100.00100.0099.43100.00[EMPTY_CELL]100.00
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]100.0099.9687.51[EMPTY_CELL]100.00100.0053.69[EMPTY_CELL]100.00[EMPTY_CELL]54.09
RazerS 3 d41:3399.92100.00100.00100.0099.99100.00100.00100.0099.99100.00[EMPTY_CELL]100.00
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]100.0099.8498.62[EMPTY_CELL]100.0099.9599.92[EMPTY_CELL]100.00[EMPTY_CELL]99.92
RazerS 354:59100.00100.00100.00100.00100.00100.00100.00100.00100.00100.00[EMPTY_CELL]100.00
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]100.00100.00100.00[EMPTY_CELL]100.00100.00100.00[EMPTY_CELL]100.00[EMPTY_CELL]100.00
Yara3:06——————————[EMPTY_CELL]—
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]———[EMPTY_CELL]———[EMPTY_CELL]—[EMPTY_CELL]—
BitMapper2:5799.99100.00100.00100.00100.00100.00100.00100.00100.00100.00[EMPTY_CELL]100.00
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]100.0099.9999.98[EMPTY_CELL]100.00100.00100.00[EMPTY_CELL]100.00[EMPTY_CELL]100.00
\", \"cells\": [{\"cell\": \"Mapper\", \"bbox\": [1, 11, 27, 20]}, {\"cell\": \"Time\", \"bbox\": [55, 5, 73, 14]}, {\"cell\": \"Benchmark category\", \"bbox\": [339, 5, 407, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[min:sec]\", \"bbox\": [55, 18, 86, 27]}, {\"cell\": \"All[%]\", \"bbox\": [177, 18, 197, 27]}, {\"cell\": \"All-best[%]\", \"bbox\": [357, 18, 394, 27]}, {\"cell\": \"Any-best[%]\", \"bbox\": [541, 18, 582, 27]}, {\"cell\": \"Bowtie2 a\", \"bbox\": [1, 37, 31, 48]}, {\"cell\": \"0:18\", \"bbox\": [55, 39, 70, 48]}, {\"cell\": \"90.18\", \"bbox\": [102, 39, 121, 48]}, {\"cell\": \"97.68\", \"bbox\": [150, 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Pollutants/temperaturen*MeanSDMinimumMedianMaximum
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[EMPTY_CELL]11822.612.73.320.373.5
[EMPTY_CELL]11821.716.31.716.792.1
[EMPTY_CELL]12023.614.14.320.978.5
[EMPTY_CELL]11834.023.62.929.0136.4
[EMPTY_CELL]12038.622.65.635.0110.9
[EMPTY_CELL]
[EMPTY_CELL]13619.17.83.518.149.9
[EMPTY_CELL]14117.28.52.616.756.4
[EMPTY_CELL]13621.210.42.918.356.2
[EMPTY_CELL]14128.514.84.925.695.8
[EMPTY_CELL]13635.815.84.933.7110.8
[EMPTY_CELL]
[EMPTY_CELL]14120.67.76.521.141.0
[EMPTY_CELL]14121.89.73.321.142.6
[EMPTY_CELL]14119.38.94.318.241.2
[EMPTY_CELL]14131.611.95.032.057.0
[EMPTY_CELL]14131.511.95.032.056.0
[EMPTY_CELL]
[EMPTY_CELL]14112.93.84.612.423.9
[EMPTY_CELL]1415.13.7-0.84.215.2
[EMPTY_CELL]
[EMPTY_CELL]14161.415.928.060.093.0
\", \"cells\": [{\"cell\": \"Pollutants/temperature\", \"bbox\": [5, 5, 87, 15]}, {\"cell\": \"n*\", \"bbox\": [204, 5, 214, 15]}, {\"cell\": \"Mean\", \"bbox\": [253, 5, 275, 15]}, {\"cell\": \"SD\", \"bbox\": [312, 5, 325, 15]}, {\"cell\": \"Minimum\", \"bbox\": [357, 5, 391, 15]}, {\"cell\": \"Median\", \"bbox\": [415, 5, 443, 15]}, {\"cell\": \"Maximum\", \"bbox\": [466, 5, 502, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 22, 94, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 36, 49, 45]}, {\"cell\": \"119\", \"bbox\": [203, 36, 217, 45]}, {\"cell\": \"24.6\", \"bbox\": [255, 36, 273, 45]}, {\"cell\": \"23.2\", \"bbox\": [310, 36, 328, 45]}, {\"cell\": \"5.3\", \"bbox\": [369, 36, 382, 45]}, {\"cell\": \"15.3\", \"bbox\": [420, 36, 437, 45]}, {\"cell\": \"124.5\", \"bbox\": [474, 36, 496, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 46, 84, 55]}, {\"cell\": \"119\", \"bbox\": [203, 46, 217, 55]}, {\"cell\": \"28.3\", \"bbox\": [255, 46, 273, 55]}, {\"cell\": \"33.8\", 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\"bbox\": [420, 193, 437, 203]}, {\"cell\": \"56.4\", \"bbox\": [478, 193, 496, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 203, 79, 213]}, {\"cell\": \"136\", \"bbox\": [202, 203, 217, 213]}, {\"cell\": \"21.2\", \"bbox\": [255, 203, 273, 213]}, {\"cell\": \"10.4\", \"bbox\": [310, 203, 327, 213]}, {\"cell\": \"2.9\", \"bbox\": [369, 203, 382, 213]}, {\"cell\": \"18.3\", \"bbox\": [420, 203, 437, 213]}, {\"cell\": \"56.2\", \"bbox\": [478, 203, 496, 213]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 213, 94, 223]}, {\"cell\": \"141\", \"bbox\": [202, 213, 217, 223]}, {\"cell\": \"28.5\", \"bbox\": [255, 213, 273, 223]}, {\"cell\": \"14.8\", \"bbox\": [310, 213, 327, 223]}, {\"cell\": \"4.9\", \"bbox\": [369, 213, 382, 223]}, {\"cell\": \"25.6\", \"bbox\": [420, 213, 437, 223]}, {\"cell\": \"95.8\", \"bbox\": [478, 213, 496, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 223, 90, 233]}, {\"cell\": \"136\", \"bbox\": [202, 223, 217, 233]}, {\"cell\": \"35.8\", \"bbox\": [255, 223, 273, 233]}, {\"cell\": \"15.8\", \"bbox\": [310, 223, 327, 233]}, {\"cell\": \"4.9\", \"bbox\": [369, 223, 382, 233]}, {\"cell\": \"33.7\", \"bbox\": [420, 223, 437, 233]}, {\"cell\": \"110.8\", \"bbox\": [474, 223, 495, 233]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 243, 96, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 255, 49, 264]}, {\"cell\": \"141\", \"bbox\": [202, 255, 217, 264]}, {\"cell\": \"20.6\", \"bbox\": [255, 255, 273, 264]}, {\"cell\": \"7.7\", \"bbox\": [314, 255, 328, 264]}, {\"cell\": \"6.5\", \"bbox\": [369, 255, 382, 264]}, {\"cell\": \"21.1\", \"bbox\": [420, 255, 437, 264]}, {\"cell\": \"41.0\", \"bbox\": [478, 255, 496, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 265, 84, 274]}, {\"cell\": \"141\", \"bbox\": [202, 265, 217, 274]}, {\"cell\": \"21.8\", \"bbox\": [255, 265, 273, 274]}, {\"cell\": \"9.7\", \"bbox\": [314, 265, 327, 274]}, {\"cell\": \"3.3\", \"bbox\": [369, 265, 382, 274]}, {\"cell\": \"21.1\", \"bbox\": [420, 265, 437, 274]}, {\"cell\": \"42.6\", \"bbox\": [478, 265, 496, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 275, 79, 284]}, {\"cell\": \"141\", \"bbox\": [202, 275, 217, 284]}, {\"cell\": \"19.3\", \"bbox\": [255, 275, 273, 284]}, {\"cell\": \"8.9\", \"bbox\": [314, 275, 327, 284]}, {\"cell\": \"4.3\", \"bbox\": [369, 275, 382, 284]}, {\"cell\": \"18.2\", \"bbox\": [420, 275, 437, 284]}, {\"cell\": \"41.2\", \"bbox\": [478, 275, 496, 284]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 285, 94, 294]}, {\"cell\": \"141\", \"bbox\": [202, 285, 217, 294]}, {\"cell\": \"31.6\", \"bbox\": [255, 285, 273, 294]}, {\"cell\": \"11.9\", \"bbox\": [310, 285, 327, 294]}, {\"cell\": \"5.0\", \"bbox\": [369, 285, 382, 294]}, {\"cell\": \"32.0\", \"bbox\": [420, 285, 437, 294]}, {\"cell\": \"57.0\", \"bbox\": [478, 285, 496, 294]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 295, 90, 304]}, {\"cell\": \"141\", \"bbox\": [202, 295, 217, 304]}, {\"cell\": \"31.5\", \"bbox\": [255, 295, 273, 304]}, {\"cell\": \"11.9\", \"bbox\": [311, 295, 327, 304]}, {\"cell\": \"5.0\", \"bbox\": [369, 295, 382, 304]}, {\"cell\": \"32.0\", \"bbox\": [420, 295, 437, 304]}, {\"cell\": \"56.0\", \"bbox\": [478, 295, 496, 304]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 315, 118, 324]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 325, 105, 334]}, {\"cell\": \"141\", \"bbox\": [202, 325, 217, 334]}, {\"cell\": \"12.9\", \"bbox\": [255, 325, 273, 334]}, {\"cell\": \"3.8\", \"bbox\": [314, 325, 328, 334]}, {\"cell\": \"4.6\", \"bbox\": [369, 325, 382, 334]}, {\"cell\": \"12.4\", \"bbox\": [420, 325, 437, 334]}, {\"cell\": \"23.9\", \"bbox\": [478, 325, 496, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 335, 103, 344]}, {\"cell\": \"141\", \"bbox\": [202, 335, 217, 344]}, {\"cell\": \"5.1\", \"bbox\": [259, 335, 272, 344]}, {\"cell\": \"3.7\", \"bbox\": [314, 335, 328, 344]}, {\"cell\": \"-0.8\", \"bbox\": [367, 335, 382, 344]}, {\"cell\": \"4.2\", \"bbox\": [424, 335, 438, 344]}, {\"cell\": \"15.2\", \"bbox\": [478, 335, 496, 344]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 355, 132, 364]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 365, 49, 374]}, {\"cell\": \"141\", \"bbox\": [202, 365, 217, 374]}, {\"cell\": \"61.4\", \"bbox\": [255, 365, 273, 374]}, {\"cell\": \"15.9\", \"bbox\": [310, 365, 328, 374]}, {\"cell\": \"28.0\", \"bbox\": [365, 365, 382, 374]}, {\"cell\": \"60.0\", \"bbox\": [420, 365, 437, 374]}, {\"cell\": \"93.0\", \"bbox\": [478, 365, 496, 374]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4771604_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Pyronaridine–artesunateArtemether–lumefantrine
N85[EMPTY_CELL]
Malea54.1 (46/85)[EMPTY_CELL]
Age (years)b7.0 (4.2–9.0)[EMPTY_CELL]
Hb (g/dL)c11.8 (11.4–12.2)[EMPTY_CELL]
Temperature (°C)c37.6 (37.4–37.9)[EMPTY_CELL]
Fever (temperature > 37.5 °C)a55.3 (47/85)[EMPTY_CELL]
Asexual parasite density (p/μl)b28,800 (12,000–68,640)[EMPTY_CELL]
Gametocyte prevalence—microscopya2.35 (2/85)[EMPTY_CELL]
Gametocyte prevalence—QT-NASBAa95.3 (81/85)[EMPTY_CELL]
Gametocyte density—QT-NASBA (p/μl)b3.23 (0.68–18.1)[EMPTY_CELL]
Gametocyte prevalence—Pfs25 qRT-PCRa97.7 (83/85)[EMPTY_CELL]
Gametocyte density—Pfs25 qRT-PCR (p/μl)b2.88 (0.85–5.24)[EMPTY_CELL]
Gametocyte prevalence—PfMGET qRT-PCRa35.3 (30/85)[EMPTY_CELL]
Gametocyte density—PfMGET qRT-PCR (p/μl)b0.94 (0.11–14.1)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Pyronaridine–artesunate\", \"bbox\": [227, 4, 315, 14]}, {\"cell\": \"Artemether–lumefantrine\", \"bbox\": [393, 4, 484, 14]}, {\"cell\": \"N\", \"bbox\": [0, 22, 8, 32]}, {\"cell\": \"85\", \"bbox\": [227, 22, 237, 32]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [393, 22, 402, 32]}, {\"cell\": \"Malea\", \"bbox\": [0, 33, 21, 44]}, {\"cell\": \"54.1 (46/85)\", \"bbox\": [227, 34, 266, 44]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [393, 34, 432, 44]}, {\"cell\": \"Age (years)b\", \"bbox\": [0, 45, 41, 56]}, {\"cell\": \"7.0 (4.2–9.0)\", \"bbox\": [227, 47, 266, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [393, 47, 432, 56]}, {\"cell\": \"Hb (g/dL)c\", \"bbox\": [0, 57, 36, 68]}, {\"cell\": \"11.8 (11.4–12.2)\", \"bbox\": [227, 59, 278, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [393, 59, 444, 68]}, {\"cell\": \"Temperature (°C)c\", \"bbox\": [1, 69, 59, 80]}, {\"cell\": \"37.6 (37.4–37.9)\", \"bbox\": [227, 71, 278, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [393, 71, 444, 80]}, {\"cell\": \"Fever (temperature > 37.5 °C)a\", \"bbox\": [1, 81, 97, 92]}, {\"cell\": \"55.3 (47/85)\", \"bbox\": [227, 83, 266, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [393, 83, 432, 92]}, {\"cell\": \"Asexual parasite density (p/μl)b\", \"bbox\": [1, 93, 101, 104]}, {\"cell\": \"28,800 (12,000–68,640)\", \"bbox\": [227, 95, 302, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [393, 95, 467, 104]}, {\"cell\": \"Gametocyte prevalence—microscopya\", \"bbox\": [1, 106, 127, 116]}, {\"cell\": \"2.35 (2/85)\", \"bbox\": [227, 107, 262, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [393, 107, 428, 116]}, {\"cell\": \"Gametocyte prevalence—QT-NASBAa\", \"bbox\": [0, 118, 123, 129]}, {\"cell\": \"95.3 (81/85)\", \"bbox\": [227, 119, 266, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [393, 119, 432, 129]}, {\"cell\": \"Gametocyte density—QT-NASBA (p/μl)b\", \"bbox\": [0, 130, 130, 141]}, {\"cell\": \"3.23 (0.68–18.1)\", \"bbox\": [227, 131, 278, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [393, 131, 444, 141]}, {\"cell\": \"Gametocyte prevalence—Pfs25 qRT-PCRa\", \"bbox\": [0, 142, 134, 153]}, {\"cell\": \"97.7 (83/85)\", \"bbox\": [227, 143, 266, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [393, 143, 431, 153]}, {\"cell\": \"Gametocyte density—Pfs25 qRT-PCR (p/μl)b\", \"bbox\": [0, 154, 142, 165]}, {\"cell\": \"2.88 (0.85–5.24)\", \"bbox\": [227, 155, 278, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [393, 155, 444, 165]}, {\"cell\": \"Gametocyte prevalence—PfMGET qRT-PCRa\", \"bbox\": [0, 166, 142, 177]}, {\"cell\": \"35.3 (30/85)\", \"bbox\": [227, 168, 266, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [393, 168, 432, 177]}, {\"cell\": \"Gametocyte density—PfMGET qRT-PCR (p/μl)b\", \"bbox\": [0, 178, 149, 189]}, {\"cell\": \"0.94 (0.11–14.1)\", \"bbox\": [227, 180, 278, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [393, 180, 444, 189]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5987563_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]ExplanationRecommendation
Incorrect diagnosis of CQS
Enrollment of patients without clinical diseaseHost immunity in asymptomatic patients enrolled from cross-sectional surveys, may facilitate clearance of parasitaemia even following partially effective drug treatment[EMPTY_CELL]
Coadministration of early PQEarly PQ has schizontocidal activity that can increase parasite clearance and prevent recrudescent infections[EMPTY_CELL]
Short duration of follow-upEarly evidence of resistance is manifest by late recrudescence[EMPTY_CELL]
Incorrect diagnosis of CQR
Incomplete treatment courseFrom poor patient adherence[EMPTY_CELL]
Dose of chloroquine administered too lowPrescription of inadequate mg/kg dose[EMPTY_CELL]
Poor absorption of drugEither from poor quality drug, reduced gastrointestinal absorption[EMPTY_CELL]
Poor drug qualityFaulty product[EMPTY_CELL]
Inadequate sample sizeLeading to wide confidence intervals of high failure rates derived from very few cases[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Explanation\", \"bbox\": [200, 4, 234, 12]}, {\"cell\": \"Recommendation\", \"bbox\": [387, 4, 435, 12]}, {\"cell\": \"Incorrect diagnosis of CQS\", \"bbox\": [1, 16, 96, 26]}, {\"cell\": \" Enrollment of patients without clinical disease\", \"bbox\": [8, 25, 117, 44]}, {\"cell\": \"Host immunity in asymptomatic patients enrolled from cross-sectional surveys, may facilitate clearance of parasitaemia even following partially effective drug treatment\", \"bbox\": [138, 25, 286, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [317, 25, 490, 44]}, {\"cell\": \" Coadministration of early PQ\", \"bbox\": [8, 70, 113, 80]}, {\"cell\": \"Early PQ has schizontocidal activity that can increase parasite clearance and prevent recrudescent infections\", \"bbox\": [138, 70, 296, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [317, 70, 493, 89]}, {\"cell\": \" Short duration of follow-up\", \"bbox\": [8, 97, 105, 107]}, {\"cell\": \"Early evidence of resistance is manifest by late recrudescence\", \"bbox\": [138, 97, 288, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [317, 97, 491, 116]}, {\"cell\": \"Incorrect diagnosis of CQR\", \"bbox\": [1, 115, 98, 125]}, {\"cell\": \" Incomplete treatment course\", \"bbox\": [8, 124, 110, 134]}, {\"cell\": \"From poor patient adherence\", \"bbox\": [138, 124, 243, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [317, 124, 424, 134]}, {\"cell\": \" Dose of chloroquine administered too low\", \"bbox\": [8, 133, 91, 152]}, {\"cell\": \"Prescription of inadequate mg/kg dose\", \"bbox\": [138, 133, 274, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [317, 133, 497, 143]}, {\"cell\": \" Poor absorption of drug\", \"bbox\": [8, 151, 94, 161]}, {\"cell\": \"Either from poor quality drug, reduced gastrointestinal absorption\", \"bbox\": [138, 151, 277, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [317, 151, 481, 170]}, {\"cell\": \" Poor drug quality\", \"bbox\": [8, 169, 71, 179]}, {\"cell\": \"Faulty product\", \"bbox\": [138, 169, 191, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [317, 169, 504, 197]}, {\"cell\": \" Inadequate sample size\", \"bbox\": [8, 196, 91, 206]}, {\"cell\": \"Leading to wide confidence intervals of high failure rates derived from very few cases\", \"bbox\": [138, 196, 296, 215]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [317, 196, 498, 206]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5198890_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Sublingual Sugar (SLS)n = 14(95%CI)Intravenous Glucose (IVG)n = 9(95%CI)
Sex (% F)29[EMPTY_CELL]
Mean age (months)26.7 (19.8–33.7)[EMPTY_CELL]
Mean weight (kg)10.8 (9.4–12.7)[EMPTY_CELL]
Duration of illness before presentation (days)2.55 (1.4–4.1)[EMPTY_CELL]
Coma£2 (14%)[EMPTY_CELL]
Prostration (%)12 (86%)[EMPTY_CELL]
Convulsions (%)3 (21%)[EMPTY_CELL]
Respiratory distress (%)7 (50%)[EMPTY_CELL]
Splenomegaly (%)4 (29%)[EMPTY_CELL]
Malnutrition (%)*1 (7%)[EMPTY_CELL]
Mean temperature °C38.9 (38.3–39.3)[EMPTY_CELL]
Mean glycaemia (mg/dl)46.5 (40.7–52.2)[EMPTY_CELL]
Number of children with BGC < 40 mg/dl (< 2.2 mmol/l)3 (21%)[EMPTY_CELL]
Number of children with BGC < 54 mg/dl (< 3.0 mml/L)10 (71%)[EMPTY_CELL]
Thick film positive for P. falciparum (%)11 (79%)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Sublingual Sugar (SLS)n = 14(95%CI)\", \"bbox\": [281, 4, 355, 33]}, {\"cell\": \"Intravenous Glucose (IVG)n = 9(95%CI)\", \"bbox\": [390, 4, 481, 33]}, {\"cell\": \"Sex (% F)\", \"bbox\": [4, 45, 38, 55]}, {\"cell\": \"29\", \"bbox\": [313, 45, 323, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 45, 441, 55]}, {\"cell\": \"Mean age (months)\", \"bbox\": [4, 55, 70, 65]}, {\"cell\": \"26.7 (19.8–33.7)\", \"bbox\": [290, 55, 346, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [410, 55, 462, 65]}, {\"cell\": \"Mean weight (kg)\", \"bbox\": [4, 65, 64, 75]}, {\"cell\": \"10.8 (9.4–12.7)\", \"bbox\": [292, 65, 344, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [410, 65, 462, 75]}, {\"cell\": \"Duration of illness before presentation (days)\", \"bbox\": [4, 76, 158, 86]}, {\"cell\": \"2.55 (1.4–4.1)\", \"bbox\": [294, 76, 342, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [412, 76, 460, 86]}, {\"cell\": \"Coma£\", \"bbox\": [4, 86, 30, 96]}, {\"cell\": \"2 (14%)\", \"bbox\": [304, 86, 332, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [422, 86, 450, 96]}, {\"cell\": \"Prostration (%)\", \"bbox\": [4, 96, 58, 106]}, {\"cell\": \"12 (86%)\", \"bbox\": [302, 96, 334, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [422, 96, 450, 106]}, {\"cell\": \"Convulsions (%)\", \"bbox\": [4, 106, 61, 116]}, {\"cell\": \"3 (21%)\", \"bbox\": [304, 106, 332, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [422, 106, 450, 116]}, {\"cell\": \"Respiratory distress (%)\", \"bbox\": [4, 117, 86, 127]}, {\"cell\": \"7 (50%)\", \"bbox\": [304, 117, 331, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [422, 117, 449, 127]}, {\"cell\": \"Splenomegaly (%)\", \"bbox\": [4, 127, 65, 137]}, {\"cell\": \"4 (29%)\", \"bbox\": [304, 127, 331, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [422, 127, 449, 137]}, {\"cell\": \"Malnutrition (%)*\", \"bbox\": [4, 137, 64, 147]}, {\"cell\": \"1 (7%)\", \"bbox\": [306, 137, 330, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [433, 137, 439, 147]}, {\"cell\": \"Mean temperature °C\", \"bbox\": [4, 147, 80, 157]}, {\"cell\": \"38.9 (38.3–39.3)\", \"bbox\": [290, 147, 346, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [408, 147, 464, 157]}, {\"cell\": \"Mean glycaemia (mg/dl)\", \"bbox\": [4, 158, 84, 168]}, {\"cell\": \"46.5 (40.7–52.2)\", \"bbox\": [290, 158, 346, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [408, 158, 464, 168]}, {\"cell\": \"Number of children with BGC < 40 mg/dl (< 2.2 mmol/l)\", \"bbox\": [4, 168, 197, 178]}, {\"cell\": \"3 (21%)\", \"bbox\": [304, 168, 332, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [422, 168, 450, 178]}, {\"cell\": \"Number of children with BGC < 54 mg/dl (< 3.0 mml/L)\", \"bbox\": [4, 178, 195, 188]}, {\"cell\": \"10 (71%)\", \"bbox\": [302, 178, 334, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [422, 178, 450, 188]}, {\"cell\": \"Thick film positive for P. falciparum (%)\", \"bbox\": [4, 188, 135, 198]}, {\"cell\": \"11 (79%)\", \"bbox\": [302, 188, 334, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [422, 188, 450, 198]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2605470_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Macronutrient compositionHF dietLF diet
Energy (kcal)1868 ± 106[EMPTY_CELL]
Carbohydrate (% kcal)5 ± 1[EMPTY_CELL]
Protein (% kcal)35 ± 1[EMPTY_CELL]
Protein-energy ratio (g/100 kcal)8.7 ± 1[EMPTY_CELL]
Fat (% kcal)60 ± 1[EMPTY_CELL]
Saturated fat (% kcal)26 ± 1[EMPTY_CELL]
Monounsaturated fat (% kcal)24 ± 1[EMPTY_CELL]
Polyunsaturated fat (% kcal)9 ± 1[EMPTY_CELL]
Trans fat (% kcal)1 ± 0[EMPTY_CELL]
Cholesterol (mg)448 ± 14[EMPTY_CELL]
Fiber (g)11 ± 2[EMPTY_CELL]
Dietary compositionHF diet[EMPTY_CELL]
BreakfastEggs[EMPTY_CELL]
[EMPTY_CELL]Ham[EMPTY_CELL]
LunchLettuce w/carrots and cucumber[EMPTY_CELL]
[EMPTY_CELL]Roast beef[EMPTY_CELL]
[EMPTY_CELL]Cheddar cheese[EMPTY_CELL]
[EMPTY_CELL]Olive oil/vinegar dressing[EMPTY_CELL]
DinnerChicken provencal[EMPTY_CELL]
[EMPTY_CELL]Potatoes w/butter[EMPTY_CELL]
[EMPTY_CELL]Broccoli[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Macronutrient composition\", \"bbox\": [1, 4, 97, 13]}, {\"cell\": \"HF diet\", \"bbox\": [231, 4, 258, 13]}, {\"cell\": \"LF diet\", \"bbox\": [393, 4, 419, 13]}, {\"cell\": \"Energy (kcal)\", \"bbox\": [1, 17, 43, 27]}, {\"cell\": \"1868 ± 106\", \"bbox\": [225, 17, 264, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [388, 17, 423, 27]}, {\"cell\": \"Carbohydrate (% kcal)\", \"bbox\": [1, 29, 73, 39]}, {\"cell\": \"5 ± 1\", \"bbox\": [235, 29, 254, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [394, 29, 417, 39]}, {\"cell\": \"Protein (% kcal)\", \"bbox\": [1, 41, 52, 51]}, {\"cell\": \"35 ± 1\", \"bbox\": [233, 41, 256, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [394, 41, 417, 51]}, {\"cell\": \"Protein-energy ratio (g/100 kcal)\", \"bbox\": [1, 53, 106, 63]}, {\"cell\": \"8.7 ± 1\", \"bbox\": [232, 53, 257, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [393, 53, 418, 63]}, {\"cell\": \"Fat (% kcal)\", \"bbox\": [1, 65, 39, 74]}, {\"cell\": \"60 ± 1\", \"bbox\": [233, 65, 256, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [394, 65, 417, 74]}, {\"cell\": \" Saturated fat (% kcal)\", \"bbox\": [15, 77, 86, 86]}, {\"cell\": \"26 ± 1\", \"bbox\": [233, 77, 256, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [396, 77, 416, 86]}, {\"cell\": \" Monounsaturated fat (% kcal)\", \"bbox\": [15, 89, 112, 98]}, {\"cell\": \"24 ± 1\", \"bbox\": [233, 89, 256, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [396, 89, 416, 98]}, {\"cell\": \" Polyunsaturated fat (% kcal)\", \"bbox\": [15, 101, 106, 110]}, {\"cell\": \"9 ± 1\", \"bbox\": [235, 101, 254, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [396, 101, 416, 110]}, {\"cell\": \" Trans fat (% kcal)\", \"bbox\": [15, 113, 72, 122]}, {\"cell\": \"1 ± 0\", \"bbox\": [235, 113, 254, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [396, 113, 416, 122]}, {\"cell\": \"Cholesterol (mg)\", \"bbox\": [1, 125, 56, 134]}, {\"cell\": \"448 ± 14\", \"bbox\": [229, 125, 260, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 125, 419, 134]}, {\"cell\": \"Fiber (g)\", \"bbox\": [1, 137, 29, 146]}, {\"cell\": \"11 ± 2\", \"bbox\": [233, 137, 256, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [394, 137, 417, 146]}, {\"cell\": \"Dietary composition\", \"bbox\": [1, 150, 67, 159]}, {\"cell\": \"HF diet\", \"bbox\": [232, 150, 257, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [394, 150, 418, 159]}, {\"cell\": \"Breakfast\", \"bbox\": [1, 163, 30, 173]}, {\"cell\": \"Eggs\", \"bbox\": [236, 163, 253, 173]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [391, 163, 420, 173]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ham\", \"bbox\": [236, 175, 253, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [378, 175, 433, 185]}, {\"cell\": \"Lunch\", \"bbox\": [1, 187, 22, 197]}, {\"cell\": \"Lettuce w/carrots and cucumber\", \"bbox\": [191, 187, 298, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 187, 459, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Roast beef\", \"bbox\": [227, 199, 262, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [397, 199, 415, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Cheddar cheese\", \"bbox\": [218, 211, 271, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 211, 419, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Olive oil/vinegar dressing\", \"bbox\": [203, 223, 286, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [380, 223, 431, 232]}, {\"cell\": \"Dinner\", \"bbox\": [1, 235, 24, 244]}, {\"cell\": \"Chicken provencal\", \"bbox\": [214, 235, 275, 244]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [374, 235, 438, 244]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Potatoes w/butter\", \"bbox\": [214, 247, 275, 256]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [388, 247, 424, 256]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Broccoli\", \"bbox\": [231, 259, 258, 268]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 259, 419, 268]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3032663_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariablesPatients without potential drug-drug interactions in their prescriptionn = 132Patients with at least one potential drug-drug interactions in their prescriptionn = 492
Gender (female)[EMPTY_CELL]386 (78.5)
Civil status (single)[EMPTY_CELL]259 (52.6)
Did not work[EMPTY_CELL]416 (84.6)
Literacy (only elementary school o less)[EMPTY_CELL]266 (62.9)
Patient age ≥ 60*[EMPTY_CELL]406 (82.5)
Number of disease ≥ 3*[EMPTY_CELL]396 (80.5)
Cardiovascular disease*[EMPTY_CELL]403 (81.9)
Musculoskeletal and joint disorders[EMPTY_CELL]471(95.7)
Gastrointestinal disease[EMPTY_CELL]205 (41.7)
Endocrine, alimentary and metabolic disease*[EMPTY_CELL]275 (55.9)
Pulmonary disease[EMPTY_CELL]31 (6.3)
Mental disease[EMPTY_CELL]21 (4.3)
Neurological disease[EMPTY_CELL]40 (8.1)
Infections and parasitic disease[EMPTY_CELL]88 (17.9)
Number of medicines ≥ 5*[EMPTY_CELL]383 (77.8)
\", \"cells\": [{\"cell\": \"Variables\", \"bbox\": [4, 5, 42, 14]}, {\"cell\": \"Patients without potential drug-drug interactions in their prescriptionn = 132\", \"bbox\": [174, 5, 317, 33]}, {\"cell\": \"Patients with at least one potential drug-drug interactions in their prescriptionn = 492\", \"bbox\": [336, 5, 495, 33]}, {\"cell\": \"Gender (female)\", \"bbox\": [4, 45, 61, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [227, 45, 264, 55]}, {\"cell\": \"386 (78.5)\", \"bbox\": [397, 45, 434, 55]}, {\"cell\": \"Civil status (single)\", \"bbox\": [4, 55, 69, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [230, 55, 262, 65]}, {\"cell\": \"259 (52.6)\", \"bbox\": [397, 55, 434, 65]}, {\"cell\": \"Did not work\", \"bbox\": [4, 66, 52, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [227, 66, 264, 75]}, {\"cell\": \"416 (84.6)\", \"bbox\": [397, 66, 434, 75]}, {\"cell\": \"Literacy (only elementary school o less)\", \"bbox\": [4, 76, 140, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [230, 76, 262, 86]}, {\"cell\": \"266 (62.9)\", \"bbox\": [397, 76, 434, 86]}, {\"cell\": \"Patient age ≥ 60*\", \"bbox\": [4, 75, 64, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 86, 261, 96]}, {\"cell\": \"406 (82.5)\", \"bbox\": [397, 86, 434, 96]}, {\"cell\": \"Number of disease ≥ 3*\", \"bbox\": [4, 85, 86, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 96, 261, 106]}, {\"cell\": \"396 (80.5)\", \"bbox\": [397, 96, 433, 106]}, {\"cell\": \"Cardiovascular disease*\", \"bbox\": [4, 106, 86, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [230, 106, 262, 116]}, {\"cell\": \"403 (81.9)\", \"bbox\": [397, 106, 434, 116]}, {\"cell\": \"Musculoskeletal and joint disorders\", \"bbox\": [4, 117, 125, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 117, 264, 127]}, {\"cell\": \"471(95.7)\", \"bbox\": [399, 117, 432, 127]}, {\"cell\": \"Gastrointestinal disease\", \"bbox\": [4, 127, 86, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [230, 127, 262, 137]}, {\"cell\": \"205 (41.7)\", \"bbox\": [397, 127, 434, 137]}, {\"cell\": \"Endocrine, alimentary and metabolic disease*\", \"bbox\": [4, 137, 157, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 137, 261, 147]}, {\"cell\": \"275 (55.9)\", \"bbox\": [397, 137, 433, 147]}, {\"cell\": \"Pulmonary disease\", \"bbox\": [4, 147, 68, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [234, 147, 257, 157]}, {\"cell\": \"31 (6.3)\", \"bbox\": [402, 147, 429, 157]}, {\"cell\": \"Mental disease\", \"bbox\": [4, 158, 55, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [231, 158, 259, 168]}, {\"cell\": \"21 (4.3)\", \"bbox\": [402, 158, 429, 168]}, {\"cell\": \"Neurological disease\", \"bbox\": [4, 168, 75, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [231, 168, 259, 178]}, {\"cell\": \"40 (8.1)\", \"bbox\": [402, 168, 429, 178]}, {\"cell\": \"Infections and parasitic disease\", \"bbox\": [4, 178, 109, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [230, 178, 262, 188]}, {\"cell\": \"88 (17.9)\", \"bbox\": [399, 178, 431, 188]}, {\"cell\": \"Number of medicines ≥ 5*\", \"bbox\": [4, 178, 96, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 189, 261, 198]}, {\"cell\": \"383 (77.8)\", \"bbox\": [397, 189, 433, 198]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2080631_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
OrganismsAntibiogram pattern No (%)
R1R2R3R4R5R6R7R8R9R10
[EMPTY_CELL]7 (15.2)6 (13)6 (13)10 (21.7)5 (10.9)3 (6.5)5 (10.9)2 (4.3)1 (2.2)1 (2.2)
[EMPTY_CELL]3 (17.6)2 (11.8)3 (17.6)2 (11.8)3 (17.6)2 (11.8)1 (5.9)–1 (5.9)–
[EMPTY_CELL]3 (20)1 (6.7)3 (20)2 (13.3)5 (33.3)1 (6.7)1 (6.7)–––
[EMPTY_CELL]1 (6.3)3 (18.8)3 (18.8)2 (12.5)–2 (12.5)2 (12.5)2 (12.5)–1 (6.3)
[EMPTY_CELL]2 (5.1)4 (10.3)6 (15.4)7 (20)3 (7.7)6 (15.4)5 (12.8)3 (7.7)2 (5.1)1 (2.6)
[EMPTY_CELL]1 (3.7)3 (11.1)4 (14.8)5 (18.5)5 (18.5)1 (3.7)2 (7.4)3 (11.1)2 (7.4)1 (3.7)
[EMPTY_CELL]2 (18)2 (18.2)3 (17.7)5 (29.4)3 (17.7)–1 (5.9)1 (5.9)––
[EMPTY_CELL]2 (33.)1 (16.7)1 (16.7)1 (16.7)1 (16.7)1 (16.7)––––
[EMPTY_CELL]3 (18.8)5 (31.3)1 (6.3)2 (12.5)2 (12.5)2 (12.5)3 (18.8)[EMPTY_CELL]––
[EMPTY_CELL]–2 (25)1 (12.5)2 (25)1 (12.5)1 (12.5)1 (12.5)[EMPTY_CELL]––
[EMPTY_CELL]1 (14)1 (14)1 (14.3)2 (28.6)1 (14.3)1 (14.6)––––
[EMPTY_CELL]25 (11.6)33 (15.3)32 (14.840 (18.5)27 (12.5)20 (9.3)21 (9.7)14 (6.5)8 (3.7)4 (1.9)
\", \"cells\": [{\"cell\": \"Organisms\", \"bbox\": [1, 4, 40, 14]}, {\"cell\": \"Antibiogram pattern No (%)\", \"bbox\": [81, 4, 179, 14]}, {\"cell\": \"R1\", \"bbox\": [81, 20, 92, 30]}, {\"cell\": \"R2\", \"bbox\": [126, 20, 137, 30]}, {\"cell\": \"R3\", \"bbox\": [171, 20, 182, 30]}, {\"cell\": \"R4\", \"bbox\": [213, 20, 224, 30]}, {\"cell\": \"R5\", \"bbox\": [258, 20, 269, 30]}, {\"cell\": \"R6\", \"bbox\": [303, 20, 314, 30]}, {\"cell\": \"R7\", \"bbox\": [344, 20, 355, 30]}, {\"cell\": \"R8\", \"bbox\": [385, 20, 396, 30]}, {\"cell\": \"R9\", \"bbox\": [426, 20, 437, 30]}, {\"cell\": \"R10\", \"bbox\": [463, 20, 478, 30]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 38, 43, 48]}, {\"cell\": \"7 (15.2)\", \"bbox\": [81, 38, 106, 48]}, {\"cell\": \"6 (13)\", \"bbox\": [126, 38, 146, 48]}, {\"cell\": \"6 (13)\", \"bbox\": [171, 38, 190, 48]}, {\"cell\": \"10 (21.7)\", \"bbox\": [213, 38, 242, 48]}, {\"cell\": \"5 (10.9)\", \"bbox\": [258, 38, 283, 48]}, {\"cell\": \"3 (6.5)\", \"bbox\": [303, 38, 324, 48]}, {\"cell\": \"5 (10.9)\", \"bbox\": [344, 38, 369, 48]}, {\"cell\": \"2 (4.3)\", \"bbox\": [385, 38, 406, 48]}, {\"cell\": \"1 (2.2)\", \"bbox\": [426, 38, 447, 48]}, {\"cell\": \"1 (2.2)\", \"bbox\": [463, 38, 484, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 50, 34, 60]}, {\"cell\": \"3 (17.6)\", \"bbox\": [81, 50, 106, 60]}, {\"cell\": \"2 (11.8)\", \"bbox\": [126, 50, 151, 60]}, {\"cell\": \"3 (17.6)\", \"bbox\": [171, 50, 196, 60]}, {\"cell\": \"2 (11.8)\", \"bbox\": [217, 50, 242, 60]}, {\"cell\": \"3 (17.6)\", \"bbox\": [258, 50, 283, 60]}, {\"cell\": \"2 (11.8)\", \"bbox\": [303, 50, 328, 60]}, {\"cell\": \"1 (5.9)\", \"bbox\": [344, 50, 365, 60]}, {\"cell\": \"–\", \"bbox\": [385, 50, 391, 60]}, {\"cell\": \"1 (5.9)\", \"bbox\": [426, 50, 447, 60]}, {\"cell\": \"–\", \"bbox\": [463, 50, 469, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 62, 62, 72]}, {\"cell\": \"3 (20)\", \"bbox\": [81, 62, 101, 72]}, {\"cell\": \"1 (6.7)\", \"bbox\": [126, 62, 147, 72]}, {\"cell\": \"3 (20)\", \"bbox\": [171, 62, 190, 72]}, {\"cell\": \"2 (13.3)\", \"bbox\": [217, 62, 242, 72]}, {\"cell\": \"5 (33.3)\", \"bbox\": [258, 62, 283, 72]}, {\"cell\": \"1 (6.7)\", \"bbox\": [303, 62, 324, 72]}, {\"cell\": \"1 (6.7)\", \"bbox\": [344, 62, 365, 72]}, {\"cell\": \"–\", \"bbox\": [385, 62, 391, 72]}, {\"cell\": \"–\", \"bbox\": [426, 62, 432, 72]}, {\"cell\": \"–\", \"bbox\": [463, 62, 469, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 74, 52, 84]}, {\"cell\": \"1 (6.3)\", \"bbox\": [81, 75, 102, 84]}, {\"cell\": \"3 (18.8)\", \"bbox\": [126, 75, 151, 84]}, {\"cell\": \"3 (18.8)\", \"bbox\": [171, 75, 196, 84]}, {\"cell\": \"2 (12.5)\", \"bbox\": [217, 75, 242, 84]}, {\"cell\": \"–\", \"bbox\": [258, 75, 264, 84]}, {\"cell\": \"2 (12.5)\", \"bbox\": [303, 75, 328, 84]}, {\"cell\": \"2 (12.5)\", \"bbox\": [344, 75, 369, 84]}, {\"cell\": \"2 (12.5)\", \"bbox\": [385, 75, 410, 84]}, {\"cell\": \"–\", \"bbox\": [426, 75, 432, 84]}, {\"cell\": \"1 (6.3)\", \"bbox\": [463, 75, 484, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 87, 48, 96]}, {\"cell\": \"2 (5.1)\", \"bbox\": [81, 87, 102, 96]}, {\"cell\": \"4 (10.3)\", \"bbox\": [126, 87, 151, 96]}, {\"cell\": \"6 (15.4)\", \"bbox\": [171, 87, 196, 96]}, {\"cell\": \"7 (20)\", \"bbox\": [217, 87, 237, 96]}, {\"cell\": \"3 (7.7)\", \"bbox\": [258, 87, 279, 96]}, {\"cell\": \"6 (15.4)\", \"bbox\": [303, 87, 328, 96]}, {\"cell\": \"5 (12.8)\", \"bbox\": [344, 87, 369, 96]}, {\"cell\": \"3 (7.7)\", \"bbox\": [385, 87, 406, 96]}, {\"cell\": \"2 (5.1)\", \"bbox\": [426, 87, 447, 96]}, {\"cell\": \"1 (2.6)\", \"bbox\": [463, 87, 484, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 99, 56, 108]}, {\"cell\": \"1 (3.7)\", \"bbox\": [81, 99, 102, 108]}, {\"cell\": \"3 (11.1)\", \"bbox\": [126, 99, 151, 108]}, {\"cell\": \"4 (14.8)\", \"bbox\": [171, 99, 196, 108]}, {\"cell\": \"5 (18.5)\", \"bbox\": [217, 99, 242, 108]}, {\"cell\": \"5 (18.5)\", \"bbox\": [258, 99, 283, 108]}, {\"cell\": \"1 (3.7)\", \"bbox\": [303, 99, 324, 108]}, {\"cell\": \"2 (7.4)\", \"bbox\": [344, 99, 365, 108]}, {\"cell\": \"3 (11.1)\", \"bbox\": [385, 99, 410, 108]}, {\"cell\": \"2 (7.4)\", \"bbox\": [426, 99, 447, 108]}, {\"cell\": \"1 (3.7)\", \"bbox\": [463, 99, 484, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 111, 59, 120]}, {\"cell\": \"2 (18)\", \"bbox\": [81, 111, 101, 120]}, {\"cell\": \"2 (18.2)\", \"bbox\": [126, 111, 151, 120]}, {\"cell\": \"3 (17.7)\", \"bbox\": [171, 111, 196, 120]}, {\"cell\": \"5 (29.4)\", \"bbox\": [217, 111, 242, 120]}, {\"cell\": \"3 (17.7)\", \"bbox\": [258, 111, 283, 120]}, {\"cell\": \"–\", \"bbox\": [303, 111, 309, 120]}, {\"cell\": \"1 (5.9)\", \"bbox\": [344, 111, 365, 120]}, {\"cell\": \"1 (5.9)\", \"bbox\": [385, 111, 406, 120]}, {\"cell\": \"–\", \"bbox\": [426, 111, 432, 120]}, {\"cell\": \"–\", \"bbox\": [463, 111, 469, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 123, 29, 132]}, {\"cell\": \"2 (33.)\", \"bbox\": [81, 123, 102, 132]}, {\"cell\": \"1 (16.7)\", \"bbox\": [126, 123, 151, 132]}, {\"cell\": \"1 (16.7)\", \"bbox\": [171, 123, 196, 132]}, {\"cell\": \"1 (16.7)\", \"bbox\": [217, 123, 242, 132]}, {\"cell\": \"1 (16.7)\", \"bbox\": [258, 123, 283, 132]}, {\"cell\": \"1 (16.7)\", \"bbox\": [303, 123, 328, 132]}, {\"cell\": \"–\", \"bbox\": [344, 123, 350, 132]}, {\"cell\": \"–\", \"bbox\": [385, 123, 391, 132]}, {\"cell\": \"–\", \"bbox\": [426, 123, 432, 132]}, {\"cell\": \"–\", \"bbox\": [463, 123, 469, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 135, 56, 144]}, {\"cell\": \"3 (18.8)\", \"bbox\": [81, 135, 106, 144]}, {\"cell\": \"5 (31.3)\", \"bbox\": [126, 135, 151, 144]}, {\"cell\": \"1 (6.3)\", \"bbox\": [171, 135, 192, 144]}, {\"cell\": \"2 (12.5)\", \"bbox\": [217, 135, 242, 144]}, {\"cell\": \"2 (12.5)\", \"bbox\": [258, 135, 283, 144]}, {\"cell\": \"2 (12.5)\", \"bbox\": [303, 135, 328, 144]}, {\"cell\": \"3 (18.8)\", \"bbox\": [344, 135, 369, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"–\", \"bbox\": [426, 135, 432, 144]}, {\"cell\": \"–\", \"bbox\": [463, 135, 469, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 147, 65, 157]}, {\"cell\": \"–\", \"bbox\": [81, 147, 87, 156]}, {\"cell\": \"2 (25)\", \"bbox\": [126, 147, 145, 156]}, {\"cell\": \"1 (12.5)\", \"bbox\": [171, 147, 196, 156]}, {\"cell\": \"2 (25)\", \"bbox\": [217, 147, 237, 156]}, {\"cell\": \"1 (12.5)\", \"bbox\": [258, 147, 283, 156]}, {\"cell\": \"1 (12.5)\", \"bbox\": [303, 147, 328, 156]}, {\"cell\": \"1 (12.5)\", \"bbox\": [344, 147, 369, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"–\", \"bbox\": [426, 147, 432, 156]}, {\"cell\": \"–\", \"bbox\": [463, 147, 469, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 159, 42, 169]}, {\"cell\": \"1 (14)\", \"bbox\": [81, 159, 101, 168]}, {\"cell\": \"1 (14)\", \"bbox\": [126, 159, 145, 168]}, {\"cell\": \"1 (14.3)\", \"bbox\": [171, 159, 196, 168]}, {\"cell\": \"2 (28.6)\", \"bbox\": [217, 159, 242, 168]}, {\"cell\": \"1 (14.3)\", \"bbox\": [258, 159, 283, 168]}, {\"cell\": \"1 (14.6)\", \"bbox\": [303, 159, 328, 168]}, {\"cell\": \"–\", \"bbox\": [344, 159, 350, 168]}, {\"cell\": \"–\", \"bbox\": [385, 159, 391, 168]}, {\"cell\": \"–\", \"bbox\": [426, 159, 432, 168]}, {\"cell\": \"–\", \"bbox\": [463, 159, 469, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 171, 35, 181]}, {\"cell\": \"25 (11.6)\", \"bbox\": [81, 171, 110, 181]}, {\"cell\": \"33 (15.3)\", \"bbox\": [126, 171, 155, 181]}, {\"cell\": \"32 (14.8\", \"bbox\": [171, 171, 197, 181]}, {\"cell\": \"40 (18.5)\", \"bbox\": [213, 171, 242, 181]}, {\"cell\": \"27 (12.5)\", \"bbox\": [258, 171, 287, 181]}, {\"cell\": \"20 (9.3)\", \"bbox\": [303, 171, 328, 181]}, {\"cell\": \"21 (9.7)\", \"bbox\": [344, 171, 369, 181]}, {\"cell\": \"14 (6.5)\", \"bbox\": [385, 171, 410, 181]}, {\"cell\": \"8 (3.7)\", \"bbox\": [426, 171, 447, 181]}, {\"cell\": \"4 (1.9)\", \"bbox\": [463, 171, 484, 181]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4646885_005_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Remote ArmStandard Arm
[EMPTY_CELL]OnOff
[EMPTY_CELL]
[EMPTY_CELL]On-HighOn-High
[EMPTY_CELL]OnOff
[EMPTY_CELL]
[EMPTY_CELL]On-HighOn-High
[EMPTY_CELL]OnOff
[EMPTY_CELL]
[EMPTY_CELL]On-HighOn-High
[EMPTY_CELL]OnOff
[EMPTY_CELL]
[EMPTY_CELL]On-HighOn-High
[EMPTY_CELL]OnOff
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Remote Arm\", \"bbox\": [238, 5, 291, 14]}, {\"cell\": \"Standard Arm\", \"bbox\": [392, 5, 449, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 27, 76, 35]}, {\"cell\": \"On\", \"bbox\": [259, 27, 271, 36]}, {\"cell\": \"Off\", \"bbox\": [414, 27, 427, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 49, 269, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 81, 73, 88]}, {\"cell\": \"On-High\", \"bbox\": [249, 80, 280, 90]}, {\"cell\": \"On-High\", \"bbox\": [405, 80, 436, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 103, 77, 111]}, {\"cell\": \"On\", \"bbox\": [259, 103, 271, 112]}, {\"cell\": \"Off\", \"bbox\": [414, 103, 427, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 125, 98, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 147, 73, 155]}, {\"cell\": \"On-High\", \"bbox\": [249, 147, 280, 157]}, {\"cell\": \"On-High\", \"bbox\": [405, 147, 436, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 170, 77, 177]}, {\"cell\": \"On\", \"bbox\": [259, 169, 271, 179]}, {\"cell\": \"Off\", \"bbox\": [414, 169, 427, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 192, 107, 201]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 214, 73, 222]}, {\"cell\": \"On-High\", \"bbox\": [249, 214, 280, 224]}, {\"cell\": \"On-High\", \"bbox\": [405, 214, 436, 224]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 236, 77, 244]}, {\"cell\": \"On\", \"bbox\": [259, 236, 271, 246]}, {\"cell\": \"Off\", \"bbox\": [414, 236, 427, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 259, 100, 268]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 281, 73, 289]}, {\"cell\": \"On-High\", \"bbox\": [249, 281, 280, 290]}, {\"cell\": \"On-High\", \"bbox\": [405, 281, 436, 290]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 303, 77, 311]}, {\"cell\": \"On\", \"bbox\": [259, 303, 271, 313]}, {\"cell\": \"Off\", \"bbox\": [414, 303, 427, 313]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2705368_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
First authorType of studyOverall patient numberYear of publicationPatients number by armChemotherapy regimenDose (mg/m2)Treatment scheduleTreatment duration
Carraro [12]Phase II11200111Cisp + Gem30 + 1000[EMPTY_CELL]NA
Malik [13]Phase II11200311Cisp + Gem70 + 1000[EMPTY_CELL]Until DP or UT
Baluch [14]Phase II14200314Cisp + Gem60 + 1000[EMPTY_CELL]NA
Reyes-Vidal [15]Phase II44200344Cisp + Gem35 + 1250[EMPTY_CELL]NA
Doval [16]Phase II30200430Cisp + Gem70 + 1000[EMPTY_CELL]Six cycles unless DP or UT
Thongprasert [17]Phase II43200543Cisp + Gem75 + 1250[EMPTY_CELL]Until DP or UT
Kim [18]Phase II29200629Cisp + Gem60 + 1250[EMPTY_CELL]Until DP
Giuliani [19]Phase II38200638Cisp + Gem80 + 1000[EMPTY_CELL]Six cycles unless DP or UT
Park [20]Phase II27200627Cisp + Gem75 + 1000[EMPTY_CELL]NA
Lee [21]Phase II24200624Cisp + Gem70 + 1000[EMPTY_CELL]Until DP or UT
Meyerhardt [22]Phase II33200733Cisp + Gem30 + 1000[EMPTY_CELL]Until DP or UT
Charoentum [23]Retrospective study42200742Cisp + Gem75 + 1250[EMPTY_CELL]NA
Lee [21]Phase II35200835Cisp + Gem70 + 1250[EMPTY_CELL]Eight cycles
Valle [24]Randomized comparative Phase II86200942Cisp + Gem25 + 1000[EMPTY_CELL]Eight cycles unless DP or UT
44Gem1000d1d8d15-q4wSix cycles unless DP or UT
Goldstein [25]Phase II50201050Cisp + Gem20 + 1000[EMPTY_CELL]Until DP or UT
Okusaka [26]Randomized comparative Phase II83201041Cisp + Gem25 + 1000[EMPTY_CELL]Sixteen cycles unless DP or UT
42Gem1000d1d8d15-q4wTwelve cycles unless DP or UT
Valle [8]Phase III4102010204Cisp + Gem25 + 1000[EMPTY_CELL]Eight cycles unless DP or UT
206Gem1000d1d8d15-q3wSix cycles unless DP or UT
Weatherly [27]Retrospective study85201153Cisp + GemNA[EMPTY_CELL]NA
32“Alternative” regimensNANANA
\", \"cells\": [{\"cell\": \"First author\", \"bbox\": [1, 27, 39, 36]}, {\"cell\": \"Type of study\", \"bbox\": [66, 27, 112, 36]}, {\"cell\": \"Overall patient number\", \"bbox\": [119, 6, 146, 36]}, {\"cell\": \"Year of publication\", \"bbox\": [152, 16, 190, 36]}, {\"cell\": \"Patients number by arm\", \"bbox\": [196, 6, 223, 36]}, {\"cell\": \"Chemotherapy regimen\", \"bbox\": [229, 16, 279, 36]}, {\"cell\": \"Dose (mg/m2)\", \"bbox\": [285, 27, 331, 36]}, {\"cell\": \"Treatment schedule\", \"bbox\": [337, 27, 402, 36]}, {\"cell\": \"Treatment duration\", \"bbox\": [422, 16, 457, 36]}, {\"cell\": \"Carraro [12]\", \"bbox\": [1, 44, 42, 54]}, {\"cell\": \"Phase II\", \"bbox\": [66, 44, 92, 54]}, {\"cell\": \"11\", \"bbox\": [123, 44, 133, 54]}, {\"cell\": \"2001\", \"bbox\": [152, 44, 171, 54]}, {\"cell\": \"11\", \"bbox\": [200, 44, 210, 54]}, {\"cell\": \"Cisp + Gem\", \"bbox\": [229, 44, 270, 54]}, {\"cell\": \"30 + 1000\", \"bbox\": [285, 44, 322, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 44, 416, 54]}, {\"cell\": \"NA\", \"bbox\": [422, 44, 434, 54]}, {\"cell\": \"Malik [13]\", \"bbox\": [1, 55, 35, 64]}, {\"cell\": \"Phase II\", \"bbox\": [66, 55, 92, 64]}, {\"cell\": \"11\", \"bbox\": [123, 55, 133, 64]}, {\"cell\": \"2003\", \"bbox\": [152, 55, 171, 64]}, {\"cell\": \"11\", \"bbox\": [200, 55, 210, 64]}, {\"cell\": \"Cisp + Gem\", \"bbox\": [229, 55, 270, 64]}, {\"cell\": \"70 + 1000\", \"bbox\": [285, 55, 322, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 55, 383, 64]}, {\"cell\": \"Until DP or UT\", \"bbox\": [422, 55, 470, 64]}, {\"cell\": \"Baluch [14]\", \"bbox\": [1, 65, 39, 74]}, {\"cell\": \"Phase II\", \"bbox\": [66, 65, 92, 74]}, {\"cell\": \"14\", \"bbox\": [123, 65, 133, 74]}, {\"cell\": \"2003\", \"bbox\": [152, 65, 171, 74]}, {\"cell\": \"14\", \"bbox\": [200, 65, 210, 74]}, {\"cell\": \"Cisp + Gem\", \"bbox\": [229, 65, 270, 74]}, {\"cell\": \"60 + 1000\", \"bbox\": [285, 65, 322, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 65, 383, 74]}, {\"cell\": \"NA\", \"bbox\": [422, 65, 434, 74]}, {\"cell\": \"Reyes-Vidal [15]\", \"bbox\": [1, 76, 54, 85]}, {\"cell\": \"Phase II\", \"bbox\": [66, 76, 92, 85]}, {\"cell\": \"44\", \"bbox\": [123, 76, 133, 85]}, {\"cell\": \"2003\", \"bbox\": [152, 76, 171, 85]}, {\"cell\": \"44\", \"bbox\": [200, 76, 210, 85]}, {\"cell\": \"Cisp + Gem\", \"bbox\": [229, 76, 270, 85]}, {\"cell\": \"35 + 1250\", \"bbox\": [285, 76, 322, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 76, 391, 85]}, {\"cell\": \"NA\", \"bbox\": [422, 76, 434, 85]}, {\"cell\": \"Doval [16]\", \"bbox\": [1, 86, 35, 95]}, {\"cell\": \"Phase II\", \"bbox\": [66, 86, 92, 95]}, {\"cell\": \"30\", \"bbox\": [123, 86, 133, 95]}, {\"cell\": \"2004\", \"bbox\": [152, 86, 171, 95]}, {\"cell\": \"30\", \"bbox\": [200, 86, 210, 95]}, {\"cell\": \"Cisp + Gem\", \"bbox\": [229, 86, 270, 95]}, {\"cell\": \"70 + 1000\", \"bbox\": [285, 86, 322, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 86, 383, 95]}, {\"cell\": \"Six cycles unless DP or UT\", \"bbox\": [422, 86, 475, 106]}, {\"cell\": \"Thongprasert [17]\", \"bbox\": [1, 107, 60, 116]}, {\"cell\": \"Phase II\", \"bbox\": [66, 107, 92, 116]}, {\"cell\": \"43\", \"bbox\": [123, 107, 133, 116]}, {\"cell\": \"2005\", \"bbox\": [152, 107, 171, 116]}, {\"cell\": \"43\", \"bbox\": [200, 107, 210, 116]}, {\"cell\": \"Cisp + Gem\", \"bbox\": [229, 107, 270, 116]}, {\"cell\": \"75 + 1250\", \"bbox\": [285, 107, 322, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 107, 383, 116]}, {\"cell\": \"Until DP or UT\", \"bbox\": [422, 107, 470, 116]}, {\"cell\": \"Kim [18]\", \"bbox\": [1, 117, 30, 127]}, {\"cell\": \"Phase II\", \"bbox\": [66, 117, 92, 127]}, {\"cell\": \"29\", \"bbox\": [123, 117, 133, 127]}, {\"cell\": \"2006\", \"bbox\": [152, 117, 171, 127]}, {\"cell\": \"29\", \"bbox\": [200, 117, 210, 127]}, {\"cell\": \"Cisp + Gem\", \"bbox\": [229, 117, 270, 127]}, {\"cell\": \"60 + 1250\", \"bbox\": [285, 117, 322, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 117, 383, 127]}, {\"cell\": \"Until DP\", \"bbox\": [422, 117, 450, 127]}, {\"cell\": \"Giuliani [19]\", \"bbox\": [1, 128, 41, 137]}, {\"cell\": \"Phase II\", \"bbox\": [66, 128, 92, 137]}, {\"cell\": \"38\", \"bbox\": [123, 128, 133, 137]}, {\"cell\": \"2006\", \"bbox\": [152, 128, 171, 137]}, {\"cell\": \"38\", \"bbox\": [200, 128, 210, 137]}, {\"cell\": \"Cisp + Gem\", \"bbox\": [229, 128, 270, 137]}, {\"cell\": \"80 + 1000\", \"bbox\": [285, 128, 322, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 128, 383, 137]}, {\"cell\": \"Six cycles unless DP or UT\", \"bbox\": [422, 128, 475, 148]}, {\"cell\": \"Park [20]\", \"bbox\": [1, 149, 31, 158]}, {\"cell\": \"Phase II\", \"bbox\": [66, 149, 92, 158]}, {\"cell\": \"27\", \"bbox\": [123, 149, 133, 158]}, {\"cell\": \"2006\", \"bbox\": [152, 149, 171, 158]}, {\"cell\": \"27\", \"bbox\": [200, 149, 210, 158]}, {\"cell\": \"Cisp + Gem\", \"bbox\": [229, 149, 270, 158]}, {\"cell\": \"75 + 1000\", \"bbox\": [285, 149, 322, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 149, 395, 158]}, {\"cell\": \"NA\", \"bbox\": [422, 149, 434, 158]}, {\"cell\": \"Lee [21]\", \"bbox\": [1, 159, 28, 169]}, {\"cell\": \"Phase II\", \"bbox\": [66, 159, 92, 169]}, {\"cell\": \"24\", \"bbox\": [123, 159, 133, 169]}, {\"cell\": \"2006\", \"bbox\": [152, 159, 171, 169]}, {\"cell\": \"24\", \"bbox\": [200, 159, 210, 169]}, {\"cell\": \"Cisp + Gem\", \"bbox\": [229, 159, 270, 169]}, {\"cell\": \"70 + 1000\", \"bbox\": [285, 159, 322, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 159, 383, 169]}, {\"cell\": \"Until DP or UT\", \"bbox\": [422, 159, 470, 169]}, {\"cell\": \"Meyerhardt [22]\", \"bbox\": [1, 170, 54, 179]}, {\"cell\": \"Phase II\", \"bbox\": [66, 170, 92, 179]}, {\"cell\": \"33\", \"bbox\": [123, 170, 133, 179]}, {\"cell\": \"2007\", \"bbox\": [152, 170, 171, 179]}, {\"cell\": \"33\", \"bbox\": [200, 170, 210, 179]}, {\"cell\": \"Cisp + Gem\", \"bbox\": [229, 170, 270, 179]}, {\"cell\": \"30 + 1000\", \"bbox\": [285, 170, 322, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 170, 391, 179]}, {\"cell\": \"Until DP or UT\", \"bbox\": [422, 170, 470, 179]}, {\"cell\": \"Charoentum [23]\", \"bbox\": [1, 180, 58, 190]}, {\"cell\": \"Retrospective study\", \"bbox\": [66, 180, 110, 200]}, {\"cell\": \"42\", \"bbox\": [123, 180, 133, 190]}, {\"cell\": \"2007\", \"bbox\": [152, 180, 171, 190]}, {\"cell\": \"42\", \"bbox\": [200, 180, 210, 190]}, {\"cell\": \"Cisp + Gem\", \"bbox\": [229, 180, 270, 190]}, {\"cell\": \"75 + 1250\", \"bbox\": [285, 180, 322, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 180, 383, 190]}, {\"cell\": \"NA\", \"bbox\": [422, 180, 434, 190]}, {\"cell\": \"Lee [21]\", \"bbox\": [1, 201, 28, 210]}, {\"cell\": \"Phase II\", \"bbox\": [66, 201, 92, 210]}, {\"cell\": \"35\", \"bbox\": [123, 201, 133, 210]}, {\"cell\": \"2008\", \"bbox\": [152, 201, 171, 210]}, {\"cell\": \"35\", \"bbox\": [200, 201, 210, 210]}, {\"cell\": \"Cisp + Gem\", \"bbox\": [229, 201, 270, 210]}, {\"cell\": \"70 + 1250\", \"bbox\": [285, 201, 322, 210]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 201, 383, 210]}, {\"cell\": \"Eight cycles\", \"bbox\": [422, 201, 461, 210]}, {\"cell\": \"Valle [24]\", \"bbox\": [1, 212, 33, 221]}, {\"cell\": \"Randomized comparative Phase II\", \"bbox\": [66, 212, 113, 242]}, {\"cell\": \"86\", \"bbox\": [123, 212, 133, 221]}, {\"cell\": \"2009\", \"bbox\": [152, 212, 171, 221]}, {\"cell\": \"42\", \"bbox\": [200, 212, 210, 221]}, {\"cell\": \"Cisp + Gem\", \"bbox\": [229, 212, 270, 221]}, {\"cell\": \"25 + 1000\", \"bbox\": [285, 212, 322, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 212, 391, 221]}, {\"cell\": \"Eight cycles unless DP or UT\", \"bbox\": [422, 212, 461, 242]}, {\"cell\": \"44\", \"bbox\": [200, 243, 210, 252]}, {\"cell\": \"Gem\", \"bbox\": [229, 243, 247, 252]}, {\"cell\": \"1000\", \"bbox\": [303, 243, 322, 252]}, {\"cell\": \"d1d8d15-q4w\", \"bbox\": [337, 243, 385, 252]}, {\"cell\": \"Six cycles unless DP or UT\", \"bbox\": [422, 243, 475, 263]}, {\"cell\": \"Goldstein [25]\", \"bbox\": [1, 264, 48, 273]}, {\"cell\": \"Phase II\", \"bbox\": [66, 264, 92, 273]}, {\"cell\": \"50\", \"bbox\": [123, 264, 133, 273]}, {\"cell\": \"2010\", \"bbox\": [152, 264, 171, 273]}, {\"cell\": \"50\", \"bbox\": [200, 264, 210, 273]}, {\"cell\": \"Cisp + Gem\", \"bbox\": [229, 264, 270, 273]}, {\"cell\": \"20 + 1000\", \"bbox\": [285, 264, 322, 273]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 264, 391, 273]}, {\"cell\": \"Until DP or UT\", \"bbox\": [422, 264, 470, 273]}, {\"cell\": \"Okusaka [26]\", \"bbox\": [1, 274, 45, 284]}, {\"cell\": \"Randomized comparative Phase II\", \"bbox\": [66, 274, 113, 305]}, {\"cell\": \"83\", \"bbox\": [123, 274, 133, 284]}, {\"cell\": \"2010\", \"bbox\": [152, 274, 171, 284]}, {\"cell\": \"41\", \"bbox\": [200, 274, 210, 284]}, {\"cell\": \"Cisp + Gem\", \"bbox\": [229, 274, 270, 284]}, {\"cell\": \"25 + 1000\", \"bbox\": [285, 274, 322, 284]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 274, 391, 284]}, {\"cell\": \"Sixteen cycles unless DP or UT\", \"bbox\": [422, 274, 468, 305]}, {\"cell\": \"42\", \"bbox\": [200, 306, 210, 315]}, {\"cell\": \"Gem\", \"bbox\": [229, 306, 247, 315]}, {\"cell\": \"1000\", \"bbox\": [303, 306, 322, 315]}, {\"cell\": \"d1d8d15-q4w\", \"bbox\": [337, 306, 385, 315]}, {\"cell\": \"Twelve cycles unless DP or UT\", \"bbox\": [422, 306, 467, 336]}, {\"cell\": \"Valle [8]\", \"bbox\": [1, 337, 29, 346]}, {\"cell\": \"Phase III\", \"bbox\": [66, 337, 94, 346]}, {\"cell\": \"410\", \"bbox\": [119, 337, 133, 346]}, {\"cell\": \"2010\", \"bbox\": [152, 337, 171, 346]}, {\"cell\": \"204\", \"bbox\": [196, 337, 210, 346]}, {\"cell\": \"Cisp + Gem\", \"bbox\": [229, 337, 270, 346]}, {\"cell\": \"25 + 1000\", \"bbox\": [285, 337, 322, 346]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 337, 391, 346]}, {\"cell\": \"Eight cycles unless DP or UT\", \"bbox\": [422, 337, 461, 367]}, {\"cell\": \"206\", \"bbox\": [196, 369, 210, 378]}, {\"cell\": \"Gem\", \"bbox\": [229, 369, 247, 378]}, {\"cell\": \"1000\", \"bbox\": [303, 369, 322, 378]}, {\"cell\": \"d1d8d15-q3w\", \"bbox\": [337, 369, 385, 378]}, {\"cell\": \"Six cycles unless DP or UT\", \"bbox\": [422, 369, 460, 399]}, {\"cell\": \"Weatherly [27]\", \"bbox\": [1, 400, 50, 409]}, {\"cell\": \"Retrospective study\", \"bbox\": [66, 400, 110, 420]}, {\"cell\": \"85\", \"bbox\": [123, 400, 133, 409]}, {\"cell\": \"2011\", \"bbox\": [153, 400, 171, 409]}, {\"cell\": \"53\", \"bbox\": [200, 400, 210, 409]}, {\"cell\": \"Cisp + Gem\", \"bbox\": [229, 400, 270, 409]}, {\"cell\": \"NA\", \"bbox\": [310, 400, 322, 409]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 400, 349, 409]}, {\"cell\": \"NA\", \"bbox\": [422, 400, 434, 409]}, {\"cell\": \"32\", \"bbox\": [200, 410, 210, 420]}, {\"cell\": \"“Alternative” regimens\", \"bbox\": [229, 410, 274, 430]}, {\"cell\": \"NA\", \"bbox\": [310, 410, 322, 420]}, {\"cell\": \"NA\", \"bbox\": [337, 410, 349, 420]}, {\"cell\": \"NA\", \"bbox\": [422, 410, 434, 420]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4298376_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariableResponsen%
Sunburnt this summer[EMPTY_CELL]139633.6
Once[EMPTY_CELL]22.7
2 or 3 times[EMPTY_CELL]33.9
4 or more times[EMPTY_CELL]9.7
Like a tan[EMPTY_CELL]197047.5
No[EMPTY_CELL]52.5
Attempted to tan[EMPTY_CELL]128330.9
No[EMPTY_CELL]69.1
Engagement in protective behaviours
Wearing a hat[EMPTY_CELL]87721.1
Rarely[EMPTY_CELL]21.0
Sometimes[EMPTY_CELL]25.9
Usually[EMPTY_CELL]21.3
Always[EMPTY_CELL]10.7
Protective clothing[EMPTY_CELL]86320.8
Rarely[EMPTY_CELL]27.1
Sometimes[EMPTY_CELL]24.8
Usually[EMPTY_CELL]21.2
Always[EMPTY_CELL]6.1
Staying in the shade[EMPTY_CELL]761.8
Rarely[EMPTY_CELL]11.5
Sometimes[EMPTY_CELL]45.5
Usually[EMPTY_CELL]36.5
Always[EMPTY_CELL]4.6
Staying mostly inside[EMPTY_CELL]9192.2
Rarely[EMPTY_CELL]15.7
Sometimes[EMPTY_CELL]42.2
Usually[EMPTY_CELL]36.1
Always[EMPTY_CELL]3.8
\", \"cells\": [{\"cell\": \"Variable\", \"bbox\": [1, 4, 27, 13]}, {\"cell\": \"Response\", \"bbox\": [102, 4, 135, 13]}, {\"cell\": \"n\", \"bbox\": [180, 4, 186, 13]}, {\"cell\": \"%\", \"bbox\": [222, 4, 229, 13]}, {\"cell\": \"Sunburnt this summer\", \"bbox\": [1, 17, 74, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 17, 123, 27]}, {\"cell\": \"1396\", \"bbox\": [180, 17, 198, 27]}, {\"cell\": \"33.6\", \"bbox\": [222, 17, 236, 27]}, {\"cell\": \"Once\", \"bbox\": [102, 31, 121, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 31, 194, 41]}, {\"cell\": \"22.7\", \"bbox\": [222, 31, 236, 41]}, {\"cell\": \"2 or 3 times\", \"bbox\": [102, 45, 143, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 45, 198, 55]}, {\"cell\": \"33.9\", \"bbox\": [222, 45, 236, 55]}, {\"cell\": \"4 or more times\", \"bbox\": [102, 59, 156, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 59, 194, 69]}, {\"cell\": \"9.7\", \"bbox\": [225, 59, 236, 69]}, {\"cell\": \"Like a tan\", \"bbox\": [1, 73, 33, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 73, 115, 83]}, {\"cell\": \"1970\", \"bbox\": [180, 73, 198, 83]}, {\"cell\": \"47.5\", \"bbox\": [222, 73, 236, 83]}, {\"cell\": \"No\", \"bbox\": [102, 87, 114, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 87, 198, 97]}, {\"cell\": \"52.5\", \"bbox\": [222, 87, 236, 97]}, {\"cell\": \"Attempted to tan\", \"bbox\": [1, 101, 59, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 101, 115, 111]}, {\"cell\": \"1283\", \"bbox\": [180, 101, 198, 111]}, {\"cell\": \"30.9\", \"bbox\": [222, 101, 236, 111]}, {\"cell\": \"No\", \"bbox\": [102, 115, 114, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 115, 198, 125]}, {\"cell\": \"69.1\", \"bbox\": [222, 115, 236, 125]}, {\"cell\": \"Engagement in protective behaviours\", \"bbox\": [1, 129, 123, 139]}, {\"cell\": \" Wearing a hat\", \"bbox\": [8, 143, 55, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 143, 123, 153]}, {\"cell\": \"877\", \"bbox\": [180, 143, 194, 153]}, {\"cell\": \"21.1\", \"bbox\": [222, 143, 236, 153]}, {\"cell\": \"Rarely\", \"bbox\": [102, 157, 123, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 157, 194, 167]}, {\"cell\": \"21.0\", \"bbox\": [222, 157, 236, 167]}, {\"cell\": \"Sometimes\", \"bbox\": [102, 171, 140, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 171, 198, 181]}, {\"cell\": \"25.9\", \"bbox\": [222, 171, 236, 181]}, {\"cell\": \"Usually\", \"bbox\": [102, 185, 127, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 185, 194, 195]}, {\"cell\": \"21.3\", \"bbox\": [222, 185, 236, 195]}, {\"cell\": \"Always\", \"bbox\": [102, 199, 126, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 199, 194, 209]}, {\"cell\": \"10.7\", \"bbox\": [222, 199, 236, 209]}, {\"cell\": \" Protective clothing\", \"bbox\": [8, 213, 71, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 213, 123, 223]}, {\"cell\": \"863\", \"bbox\": [180, 213, 194, 223]}, {\"cell\": \"20.8\", \"bbox\": [222, 213, 236, 223]}, {\"cell\": \"Rarely\", \"bbox\": [102, 227, 123, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 227, 198, 237]}, {\"cell\": \"27.1\", \"bbox\": [222, 227, 236, 237]}, {\"cell\": \"Sometimes\", \"bbox\": [102, 241, 140, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 241, 198, 251]}, {\"cell\": \"24.8\", \"bbox\": [222, 241, 236, 251]}, {\"cell\": \"Usually\", \"bbox\": [102, 255, 127, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 255, 194, 265]}, {\"cell\": \"21.2\", \"bbox\": [222, 255, 236, 265]}, {\"cell\": \"Always\", \"bbox\": [102, 269, 126, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 269, 194, 279]}, {\"cell\": \"6.1\", \"bbox\": [225, 269, 236, 279]}, {\"cell\": \" Staying in the shade\", \"bbox\": [8, 283, 76, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 283, 123, 293]}, {\"cell\": \"76\", \"bbox\": [180, 283, 190, 293]}, {\"cell\": \"1.8\", \"bbox\": [225, 283, 236, 293]}, {\"cell\": \"Rarely\", \"bbox\": [102, 297, 123, 307]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 297, 194, 307]}, {\"cell\": \"11.5\", \"bbox\": [222, 297, 236, 307]}, {\"cell\": \"Sometimes\", \"bbox\": [102, 311, 140, 321]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 311, 198, 321]}, {\"cell\": \"45.5\", \"bbox\": [222, 311, 236, 321]}, {\"cell\": \"Usually\", \"bbox\": [102, 325, 127, 335]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 325, 198, 335]}, {\"cell\": \"36.5\", \"bbox\": [222, 325, 236, 335]}, {\"cell\": \"Always\", \"bbox\": [102, 339, 126, 349]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 339, 194, 349]}, {\"cell\": \"4.6\", \"bbox\": [225, 339, 236, 349]}, {\"cell\": \" Staying mostly inside\", \"bbox\": [8, 353, 78, 363]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 353, 123, 363]}, {\"cell\": \"91\", \"bbox\": [180, 353, 190, 363]}, {\"cell\": \"92.2\", \"bbox\": [222, 353, 236, 363]}, {\"cell\": \"Rarely\", \"bbox\": [102, 367, 123, 377]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 367, 194, 377]}, {\"cell\": \"15.7\", \"bbox\": [222, 367, 236, 377]}, {\"cell\": \"Sometimes\", \"bbox\": [102, 381, 140, 391]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 381, 198, 391]}, {\"cell\": \"42.2\", \"bbox\": [222, 381, 236, 391]}, {\"cell\": \"Usually\", \"bbox\": [102, 395, 127, 405]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 395, 198, 405]}, {\"cell\": \"36.1\", \"bbox\": [222, 395, 236, 405]}, {\"cell\": \"Always\", \"bbox\": [102, 409, 126, 419]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 409, 194, 419]}, {\"cell\": \"3.8\", \"bbox\": [225, 409, 236, 419]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4944266_002_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
CoefficientMeanStandard Deviation95% CI
[EMPTY_CELL]
[EMPTY_CELL]−3.29311.6830(−6.6478, −0.0008)
[EMPTY_CELL]0.00510.0019(0.0014, 0.0089)
[EMPTY_CELL]−0.00070.0056(−0.0120, 0.0102)
[EMPTY_CELL]
[EMPTY_CELL]7.46431.8093(4.1338, 11.2494)
[EMPTY_CELL]−0.00970.0022(−0.0143, −0.0056)
[EMPTY_CELL]−0.00250.0086(−0.0196, 0.0143)
\", \"cells\": [{\"cell\": \"Coefficient\", \"bbox\": [21, 6, 74, 16]}, {\"cell\": \"Mean\", \"bbox\": [107, 6, 136, 16]}, {\"cell\": \"Standard Deviation\", \"bbox\": [160, 6, 254, 16]}, {\"cell\": \"95% CI\", \"bbox\": [298, 6, 337, 16]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [145, 21, 229, 33]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [27, 37, 68, 49]}, {\"cell\": \"−3.2931\", \"bbox\": [102, 33, 141, 50]}, {\"cell\": \"1.6830\", \"bbox\": [191, 37, 223, 49]}, {\"cell\": \"(−6.6478, −0.0008)\", \"bbox\": [274, 33, 361, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [26, 52, 70, 64]}, {\"cell\": \"0.0051\", \"bbox\": [106, 52, 138, 64]}, {\"cell\": \"0.0019\", \"bbox\": [191, 52, 223, 64]}, {\"cell\": \"(0.0014, 0.0089)\", \"bbox\": [280, 52, 355, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 67, 81, 94]}, {\"cell\": \"−0.0007\", \"bbox\": [102, 71, 141, 87]}, {\"cell\": \"0.0056\", \"bbox\": [191, 74, 223, 86]}, {\"cell\": \"(−0.0120, 0.0102)\", \"bbox\": [277, 71, 358, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [128, 97, 246, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [27, 113, 68, 125]}, {\"cell\": \"7.4643\", \"bbox\": [106, 113, 138, 125]}, {\"cell\": \"1.8093\", \"bbox\": [191, 113, 223, 125]}, {\"cell\": \"(4.1338, 11.2494)\", \"bbox\": [277, 113, 358, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [26, 128, 70, 140]}, {\"cell\": \"−0.0097\", \"bbox\": [102, 124, 141, 141]}, {\"cell\": \"0.0022\", \"bbox\": [191, 128, 223, 140]}, {\"cell\": \"(−0.0143, −0.0056)\", \"bbox\": [274, 124, 361, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 143, 81, 170]}, {\"cell\": \"−0.0025\", \"bbox\": [102, 147, 141, 163]}, {\"cell\": \"0.0086\", \"bbox\": [191, 150, 223, 162]}, {\"cell\": \"(−0.0196, 0.0143)\", \"bbox\": [277, 147, 358, 163]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4586626_009_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Gene lists used for comparisonBiological process categoryNumber of overrepresented genes/all genes in category (p-value)
Vac-4 up-regulated[EMPTY_CELL]7/181 (0.000)
[EMPTY_CELL][EMPTY_CELL]5/80 (0.000)
[EMPTY_CELL][EMPTY_CELL]4/57 (0.001)
Pol-8 up-regulated[EMPTY_CELL]3/39 (0.010)
[EMPTY_CELL][EMPTY_CELL]3/46 (0.016)
[EMPTY_CELL][EMPTY_CELL]6/175 (0.016)
[EMPTY_CELL][EMPTY_CELL]4/85 (0.017)
[EMPTY_CELL][EMPTY_CELL]2/18 (0.018)
Pol-16 up-regulated[EMPTY_CELL]9/171 (0.000)
[EMPTY_CELL][EMPTY_CELL]8/213 (0.003)
[EMPTY_CELL][EMPTY_CELL]7/175 (0.004)
[EMPTY_CELL][EMPTY_CELL]17/758 (0.007)
[EMPTY_CELL][EMPTY_CELL]3/37 (0.009)
[EMPTY_CELL][EMPTY_CELL]2/16 (0.0015)
[EMPTY_CELL][EMPTY_CELL]11/433 (0.017)
\", \"cells\": [{\"cell\": \"Gene lists used for comparison\", \"bbox\": [4, 4, 95, 13]}, {\"cell\": \"Biological process category\", \"bbox\": [105, 4, 184, 13]}, {\"cell\": \"Number of overrepresented genes/all genes in category (p-value)\", \"bbox\": [304, 4, 490, 13]}, {\"cell\": \"Vac-4 up-regulated\", \"bbox\": [4, 25, 60, 34]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 25, 232, 34]}, {\"cell\": \"7/181 (0.000)\", \"bbox\": [304, 25, 343, 34]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 34, 254, 43]}, {\"cell\": \"5/80 (0.000)\", \"bbox\": [304, 34, 340, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 43, 189, 52]}, {\"cell\": \"4/57 (0.001)\", \"bbox\": [304, 43, 340, 52]}, {\"cell\": \"Pol-8 up-regulated\", \"bbox\": [4, 52, 59, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 52, 204, 61]}, {\"cell\": \"3/39 (0.010)\", \"bbox\": [304, 52, 340, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 61, 210, 70]}, {\"cell\": \"3/46 (0.016)\", \"bbox\": [304, 61, 340, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 70, 242, 79]}, {\"cell\": \"6/175 (0.016)\", \"bbox\": [304, 70, 343, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 79, 290, 88]}, {\"cell\": \"4/85 (0.017)\", \"bbox\": [304, 79, 340, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 88, 248, 97]}, {\"cell\": \"2/18 (0.018)\", \"bbox\": [304, 88, 340, 97]}, {\"cell\": \"Pol-16 up-regulated\", \"bbox\": [4, 97, 62, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 97, 197, 106]}, {\"cell\": \"9/171 (0.000)\", \"bbox\": [304, 97, 343, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 106, 217, 115]}, {\"cell\": \"8/213 (0.003)\", \"bbox\": [304, 106, 343, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 115, 242, 124]}, {\"cell\": \"7/175 (0.004)\", \"bbox\": [304, 115, 343, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 124, 204, 133]}, {\"cell\": \"17/758 (0.007)\", \"bbox\": [304, 124, 347, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 133, 230, 142]}, {\"cell\": \"3/37 (0.009)\", \"bbox\": [304, 133, 340, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 142, 198, 151]}, {\"cell\": \"2/16 (0.0015)\", \"bbox\": [304, 142, 344, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 151, 199, 160]}, {\"cell\": \"11/433 (0.017)\", \"bbox\": [304, 151, 347, 160]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC1821010_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Hospitals with Catheterization Facilities (n = 4,116)Hospitals without Catheterization Facilities (n = 11,190)
Medication class* (%)
Aspirin65.4[EMPTY_CELL]
Beta-blockers57.7[EMPTY_CELL]
ACE inhibitors45.2[EMPTY_CELL]
Nitrates (any form)72.7[EMPTY_CELL]
Calcium channel blockers27.6[EMPTY_CELL]
Lipid-lowering agents24.9[EMPTY_CELL]
Anti-ischemic combination therapy at 1 year† (%)
Monotherapy38.8[EMPTY_CELL]
Double therapy27.3[EMPTY_CELL]
Triple therapy7.8[EMPTY_CELL]
Refills for sublingual nitrates at 1 year (%)31.4[EMPTY_CELL]
Emergency room visits at 1 year (%)
0 visits43.3[EMPTY_CELL]
1–3 visits41.4[EMPTY_CELL]
≤4 visits15.4[EMPTY_CELL]
Physician visits at 1 year (%)[EMPTY_CELL][EMPTY_CELL]
0–3 visits22.3[EMPTY_CELL]
4–8 visits38.5[EMPTY_CELL]
≤9 visits39.2[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Hospitals with Catheterization Facilities (n = 4,116)\", \"bbox\": [173, 5, 329, 23]}, {\"cell\": \"Hospitals without Catheterization Facilities (n = 11,190)\", \"bbox\": [351, 5, 484, 23]}, {\"cell\": \"Medication class* (%)\", \"bbox\": [4, 36, 77, 46]}, {\"cell\": \" Aspirin\", \"bbox\": [14, 46, 40, 56]}, {\"cell\": \"65.4\", \"bbox\": [243, 46, 259, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [409, 46, 425, 56]}, {\"cell\": \" Beta-blockers\", \"bbox\": [14, 56, 62, 66]}, {\"cell\": \"57.7\", \"bbox\": [243, 56, 259, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [409, 56, 425, 66]}, {\"cell\": \" ACE inhibitors\", \"bbox\": [14, 66, 66, 76]}, {\"cell\": \"45.2\", \"bbox\": [243, 66, 259, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [409, 66, 425, 76]}, {\"cell\": \" Nitrates (any form)\", \"bbox\": [14, 77, 81, 87]}, {\"cell\": \"72.7\", \"bbox\": [243, 77, 259, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [409, 77, 425, 87]}, {\"cell\": \" Calcium channel blockers\", \"bbox\": [14, 87, 102, 97]}, {\"cell\": \"27.6\", \"bbox\": [243, 87, 259, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [409, 87, 425, 97]}, {\"cell\": \" Lipid-lowering agents\", \"bbox\": [14, 97, 87, 107]}, {\"cell\": \"24.9\", \"bbox\": [243, 97, 259, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [409, 97, 425, 107]}, {\"cell\": \"Anti-ischemic combination therapy at 1 year† (%)\", \"bbox\": [4, 107, 170, 117]}, {\"cell\": \" Monotherapy\", \"bbox\": [14, 118, 61, 128]}, {\"cell\": \"38.8\", \"bbox\": [243, 118, 259, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [409, 118, 425, 128]}, {\"cell\": \" Double therapy\", \"bbox\": [14, 128, 69, 138]}, {\"cell\": \"27.3\", \"bbox\": [243, 128, 259, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [409, 128, 425, 138]}, {\"cell\": \" Triple therapy\", \"bbox\": [14, 138, 64, 148]}, {\"cell\": \"7.8\", \"bbox\": [245, 138, 257, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [411, 138, 423, 148]}, {\"cell\": \"Refills for sublingual nitrates at 1 year (%)\", \"bbox\": [4, 148, 145, 158]}, {\"cell\": \"31.4\", \"bbox\": [243, 148, 259, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [409, 148, 425, 158]}, {\"cell\": \"Emergency room visits at 1 year (%)\", \"bbox\": [4, 159, 127, 169]}, {\"cell\": \" 0 visits\", \"bbox\": [14, 169, 39, 179]}, {\"cell\": \"43.3\", \"bbox\": [243, 169, 259, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [409, 169, 425, 179]}, {\"cell\": \" 1–3 visits\", \"bbox\": [14, 179, 47, 189]}, {\"cell\": \"41.4\", \"bbox\": [243, 179, 259, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [409, 179, 425, 189]}, {\"cell\": \" ≤4 visits\", \"bbox\": [14, 189, 44, 199]}, {\"cell\": \"15.4\", \"bbox\": [243, 189, 259, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [409, 189, 425, 199]}, {\"cell\": \"Physician visits at 1 year (%)\", \"bbox\": [4, 200, 100, 210]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 0–3 visits\", \"bbox\": [14, 210, 47, 220]}, {\"cell\": \"22.3\", \"bbox\": [243, 210, 259, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [409, 210, 425, 220]}, {\"cell\": \" 4–8 visits\", \"bbox\": [14, 220, 47, 230]}, {\"cell\": \"38.5\", \"bbox\": [243, 220, 259, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [409, 220, 425, 230]}, {\"cell\": \" ≤9 visits\", \"bbox\": [14, 231, 44, 240]}, {\"cell\": \"39.2\", \"bbox\": [243, 231, 259, 240]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [409, 231, 425, 240]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC1664559_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
SpeciesmethodgeneprimersNucleotide sequence (5'- 3')Ampliconsize (bp)cRef.
IxodesPCR16S ribosomal RNAF-16sIxodes[EMPTY_CELL]97[12]
(extraction control)[EMPTY_CELL][EMPTY_CELL]R-16sIxodes[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]16s-Ixodes-Probe[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
B. burgdorferi s.l.real time PCR (duplex)23S-rRNABb23Sf[EMPTY_CELL]75[14]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]Bb23Sr[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]Bb23Sp-FAM[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
A. phagocytophilumreal time PCR (duplex)msp2ApMSP2f[EMPTY_CELL]77[14]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]ApMSP2r[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]ApMSP2p-HEX[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
B. burgdorferi s.l.PCRflagellinFLA1[EMPTY_CELL]482[16]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]FLA2[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
A. phagocytophilumPCRmsp2msp2-3f[EMPTY_CELL]334[15]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]msp2-3r[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
TBEvrRT-PCR3' non-coding regionF-TBE 1[EMPTY_CELL]67[12]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]R-TBE 1[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]TBE-Probe-WT[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
TBEvnested PCRnon-structural protein NS5FSM-1[EMPTY_CELL]357[13]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]FSM-2[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]non-structural protein NS5FSM-1i[EMPTY_CELL]251[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]FSM-2i[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Rickettsia spp.PCRcitrate synthaseRpCS.877p[EMPTY_CELL]381[17]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]RpCS1258n[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Cand. N. mikurensisPCRgroELNM-128s[EMPTY_CELL]1024[19]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]NM-1152as[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Babesia/TheileriaPCR18S rRNARLB-F2[EMPTY_CELL]400[18]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]RLB-R2[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Species\", \"bbox\": [1, 4, 28, 13]}, {\"cell\": \"method\", \"bbox\": [62, 4, 91, 13]}, {\"cell\": \"gene\", \"bbox\": [132, 4, 152, 13]}, {\"cell\": \"primers\", \"bbox\": [214, 4, 243, 13]}, {\"cell\": \"Nucleotide sequence (5'- 3')\", \"bbox\": [269, 4, 368, 13]}, {\"cell\": \"Ampliconsize (bp)c\", \"bbox\": [431, 4, 466, 22]}, {\"cell\": \"Ref.\", \"bbox\": [470, 4, 484, 13]}, {\"cell\": \"Ixodes\", \"bbox\": [1, 26, 23, 36]}, {\"cell\": \"PCR\", \"bbox\": [62, 26, 77, 36]}, {\"cell\": \"16S ribosomal RNA\", \"bbox\": [132, 26, 196, 36]}, {\"cell\": \"F-16sIxodes\", \"bbox\": [214, 26, 253, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 26, 401, 36]}, {\"cell\": \"97\", \"bbox\": [431, 26, 440, 36]}, {\"cell\": \"[12]\", \"bbox\": [470, 26, 483, 36]}, {\"cell\": \"(extraction control)\", \"bbox\": [1, 38, 36, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"R-16sIxodes\", \"bbox\": [214, 38, 254, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 38, 383, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"16s-Ixodes-Probe\", \"bbox\": [214, 59, 252, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 59, 411, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"B. burgdorferi s.l.\", \"bbox\": [1, 80, 53, 89]}, {\"cell\": \"real time PCR (duplex)\", \"bbox\": [62, 80, 108, 98]}, {\"cell\": \"23S-rRNA\", \"bbox\": [132, 80, 164, 89]}, {\"cell\": \"Bb23Sf\", \"bbox\": [214, 80, 238, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 80, 376, 89]}, {\"cell\": \"75\", \"bbox\": [431, 80, 440, 89]}, {\"cell\": \"[14]\", \"bbox\": [470, 80, 483, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Bb23Sr\", \"bbox\": [214, 101, 238, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 101, 368, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Bb23Sp-FAM\", \"bbox\": [214, 113, 257, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 113, 389, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"A. phagocytophilum\", \"bbox\": [1, 125, 57, 143]}, {\"cell\": \"real time PCR (duplex)\", \"bbox\": [62, 125, 108, 143]}, {\"cell\": \"msp2\", \"bbox\": [132, 125, 152, 134]}, {\"cell\": \"ApMSP2f\", \"bbox\": [214, 125, 245, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 125, 388, 134]}, {\"cell\": \"77\", \"bbox\": [431, 125, 440, 134]}, {\"cell\": \"[14]\", \"bbox\": [470, 125, 483, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"ApMSP2r\", \"bbox\": [214, 146, 245, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 146, 357, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"ApMSP2p-HEX\", \"bbox\": [214, 158, 262, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 158, 386, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"B. burgdorferi s.l.\", \"bbox\": [1, 170, 53, 179]}, {\"cell\": \"PCR\", \"bbox\": [62, 170, 77, 179]}, {\"cell\": \"flagellin\", \"bbox\": [132, 170, 159, 179]}, {\"cell\": \"FLA1\", \"bbox\": [214, 170, 232, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 170, 382, 179]}, {\"cell\": \"482\", \"bbox\": [431, 170, 444, 179]}, {\"cell\": \"[16]\", \"bbox\": [470, 170, 483, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"FLA2\", \"bbox\": [214, 182, 232, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 182, 380, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"A. phagocytophilum\", \"bbox\": [1, 194, 57, 212]}, {\"cell\": \"PCR\", \"bbox\": [62, 194, 77, 203]}, {\"cell\": \"msp2\", \"bbox\": [132, 194, 152, 203]}, {\"cell\": \"msp2-3f\", \"bbox\": [214, 194, 242, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 194, 370, 203]}, {\"cell\": \"334\", \"bbox\": [431, 194, 444, 203]}, {\"cell\": \"[15]\", \"bbox\": [470, 194, 483, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"msp2-3r\", \"bbox\": [214, 214, 242, 224]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 214, 371, 224]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TBEv\", \"bbox\": [1, 226, 17, 236]}, {\"cell\": \"rRT-PCR\", \"bbox\": [62, 226, 89, 236]}, {\"cell\": \"3' non-coding region\", \"bbox\": [132, 226, 203, 236]}, {\"cell\": \"F-TBE 1\", \"bbox\": [214, 226, 240, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 226, 348, 236]}, {\"cell\": \"67\", \"bbox\": [431, 226, 440, 236]}, {\"cell\": \"[12]\", \"bbox\": [470, 226, 483, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"R-TBE 1\", \"bbox\": [214, 238, 241, 248]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 238, 370, 248]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TBE-Probe-WT\", \"bbox\": [214, 250, 261, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 250, 375, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TBEv\", \"bbox\": [1, 262, 17, 272]}, {\"cell\": \"nested PCR\", \"bbox\": [62, 262, 101, 272]}, {\"cell\": \"non-structural protein NS5\", \"bbox\": [132, 262, 204, 281]}, {\"cell\": \"FSM-1\", \"bbox\": [214, 262, 236, 272]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 262, 362, 272]}, {\"cell\": \"357\", \"bbox\": [431, 262, 444, 272]}, {\"cell\": \"[13]\", \"bbox\": [470, 262, 483, 272]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"FSM-2\", \"bbox\": [214, 283, 236, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 283, 362, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"non-structural protein NS5\", \"bbox\": [132, 295, 204, 314]}, {\"cell\": \"FSM-1i\", \"bbox\": [214, 295, 238, 305]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 295, 363, 305]}, {\"cell\": \"251\", \"bbox\": [431, 295, 444, 305]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"FSM-2i\", \"bbox\": [214, 316, 238, 326]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 316, 356, 326]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Rickettsia spp.\", \"bbox\": [1, 328, 45, 338]}, {\"cell\": \"PCR\", \"bbox\": [62, 328, 77, 338]}, {\"cell\": \"citrate synthase\", \"bbox\": [132, 328, 184, 338]}, {\"cell\": \"RpCS.877p\", \"bbox\": [214, 328, 250, 338]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 328, 358, 338]}, {\"cell\": \"381\", \"bbox\": [431, 328, 444, 338]}, {\"cell\": \"[17]\", \"bbox\": [470, 328, 483, 338]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"RpCS1258n\", \"bbox\": [214, 340, 252, 349]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 340, 369, 349]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Cand. N. mikurensis\", \"bbox\": [1, 352, 34, 370]}, {\"cell\": \"PCR\", \"bbox\": [62, 352, 77, 361]}, {\"cell\": \"groEL\", \"bbox\": [132, 352, 152, 361]}, {\"cell\": \"NM-128s\", \"bbox\": [214, 352, 244, 361]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 352, 391, 361]}, {\"cell\": \"1024\", \"bbox\": [431, 352, 448, 361]}, {\"cell\": \"[19]\", \"bbox\": [470, 352, 483, 361]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"NM-1152as\", \"bbox\": [214, 373, 252, 382]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 373, 397, 382]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Babesia/Theileria\", \"bbox\": [1, 385, 55, 394]}, {\"cell\": \"PCR\", \"bbox\": [62, 385, 77, 394]}, {\"cell\": \"18S rRNA\", \"bbox\": [132, 385, 164, 394]}, {\"cell\": \"RLB-F2\", \"bbox\": [214, 385, 238, 394]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 385, 368, 394]}, {\"cell\": \"400\", \"bbox\": [431, 385, 444, 394]}, {\"cell\": \"[18]\", \"bbox\": [470, 385, 483, 394]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"RLB-R2\", \"bbox\": [214, 397, 238, 406]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 397, 370, 406]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3337281_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Listen to New Home New Life
[EMPTY_CELL]yesno
Mine/UXO events1. Cases 1979–93 (per 10000 person-years)[EMPTY_CELL]9 (1.898)
2. Cases 1994–97 (per 10000 person years)Risk of a case occurring after 1994: OR 0.28, 95%CI 0.07–0.99 (in urban mined areas)[EMPTY_CELL]14 (14.763)
3. Upper limb injuries as proportion of all injuries among survivors of mine accidents after 1994Risk of an upper limb injury after 1994: OR 0.12, 95%CI 0.02–0.82 (in urban areas)[EMPTY_CELL]11/16 (69%)
Inappropriate attitudes and practices (search for metal, consider non-qualified person brave if go into mined area)[EMPTY_CELL][EMPTY_CELL]
4. With easy radio access (%)[EMPTY_CELL]65/423 (15.4%)
5. Difficult radio access (%)Risk of inappropriate behaviour, stratified by ease of access to radios OR 0.61, 95%CI 0.44–0.84[EMPTY_CELL]378/4216 (9%)
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Listen to New Home New Life\", \"bbox\": [394, 4, 493, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"yes\", \"bbox\": [407, 27, 420, 36]}, {\"cell\": \"no\", \"bbox\": [466, 27, 477, 36]}, {\"cell\": \"Mine/UXO events1. Cases 1979–93 (per 10000 person-years)\", \"bbox\": [4, 49, 153, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [396, 49, 432, 59]}, {\"cell\": \"9 (1.898)\", \"bbox\": [456, 49, 488, 59]}, {\"cell\": \"2. Cases 1994–97 (per 10000 person years)Risk of a case occurring after 1994: OR 0.28, 95%CI 0.07–0.99 (in urban mined areas)\", \"bbox\": [4, 68, 293, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [396, 68, 432, 78]}, {\"cell\": \"14 (14.763)\", \"bbox\": [452, 68, 492, 78]}, {\"cell\": \"3. Upper limb injuries as proportion of all injuries among survivors of mine accidents after 1994Risk of an upper limb injury after 1994: OR 0.12, 95%CI 0.02–0.82 (in urban areas)\", \"bbox\": [4, 88, 326, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [395, 88, 433, 98]}, {\"cell\": \"11/16 (69%)\", \"bbox\": [451, 88, 493, 98]}, {\"cell\": \"Inappropriate attitudes and practices (search for metal, consider non-qualified person brave if go into mined area)\", \"bbox\": [4, 107, 367, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"4. With easy radio access (%)\", \"bbox\": [4, 127, 105, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [389, 127, 439, 137]}, {\"cell\": \"65/423 (15.4%)\", \"bbox\": [446, 127, 498, 137]}, {\"cell\": \"5. Difficult radio access (%)Risk of inappropriate behaviour, stratified by ease of access to radios OR 0.61, 95%CI 0.44–0.84\", \"bbox\": [4, 137, 328, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [394, 137, 434, 147]}, {\"cell\": \"378/4216 (9%)\", \"bbox\": [447, 137, 497, 147]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC1352365_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariableCut-offBase rateNPPPPP
Trial 1< 6.1.50[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL].2.44[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL].3.38[EMPTY_CELL]
Trial 5< 10.1.60[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL].2.52[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL].3.44[EMPTY_CELL]
Trial 1-5< 43.1.50[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL].2.43[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL].3.37[EMPTY_CELL]
Interference list< 5.1.68[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL].2.59[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL].3.50[EMPTY_CELL]
Trial 6< 7.1.65[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL].2.56[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL].3.48[EMPTY_CELL]
Trial 7< 7.1.64[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL].2.55[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL].3.46[EMPTY_CELL]
Trial 6-5< 2.1.80[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL].2.71[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL].3.61[EMPTY_CELL]
Trial 7-5< 2.1.59[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL].2.52[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL].3.45[EMPTY_CELL]
Recognition< 12.1.64[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL].2.55[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL].3.47[EMPTY_CELL]
Corrected recognition score< 11.1.15[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL].2.13[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL].3.12[EMPTY_CELL]
3recallednotrecog> 1.1.64[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL].2.54[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL].3.45[EMPTY_CELL]
VLMT number of times the first word was recalled in trials 1 to 5< 5.1.36[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL].2.31[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL].3.27[EMPTY_CELL]
VLMT number of times the last word was recalled in trials 1 to 5< 4.1.57[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL].2.51[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL].3.44[EMPTY_CELL]
FIT recall< 9.1.64[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL].2.56[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL].3.48[EMPTY_CELL]
FIT recognition< 12.1.68[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL].2.59[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL].3.50[EMPTY_CELL]
FIT combination score< 22.1.55[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL].2.48[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL].3.41[EMPTY_CELL]
BSV-STM correct responses< 84.1.34[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL].2.28[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL].3.23[EMPTY_CELL]
BSV-STM RT> 774.1.48[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL].2.40[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL].3.33[EMPTY_CELL]
VLMT 1< 57.1.67[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL].2.58[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL].3.48[EMPTY_CELL]
COMB 1< 58.1.67[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL].2.58[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL].3.48[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Variable\", \"bbox\": [4, 5, 39, 14]}, {\"cell\": \"Cut-off\", \"bbox\": [337, 5, 366, 14]}, {\"cell\": \"Base rate\", \"bbox\": [382, 5, 420, 14]}, {\"cell\": \"NPP\", \"bbox\": [439, 5, 459, 14]}, {\"cell\": \"PPP\", \"bbox\": [472, 5, 490, 14]}, {\"cell\": \"Trial 1\", \"bbox\": [4, 27, 32, 36]}, {\"cell\": \"< 6\", \"bbox\": [337, 27, 350, 35]}, {\"cell\": \".1\", \"bbox\": [382, 27, 390, 35]}, {\"cell\": \".50\", \"bbox\": [439, 27, 451, 35]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 27, 484, 35]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".2\", \"bbox\": [382, 37, 390, 45]}, {\"cell\": \".44\", \"bbox\": [439, 37, 451, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 37, 484, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".3\", \"bbox\": [382, 47, 390, 55]}, {\"cell\": \".38\", \"bbox\": [439, 47, 451, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 47, 484, 55]}, {\"cell\": \"Trial 5\", \"bbox\": [4, 58, 32, 67]}, {\"cell\": \"< 10\", \"bbox\": [337, 58, 354, 65]}, {\"cell\": \".1\", \"bbox\": [382, 58, 390, 65]}, {\"cell\": \".60\", \"bbox\": [439, 58, 451, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 58, 484, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".2\", \"bbox\": [382, 68, 390, 76]}, {\"cell\": \".52\", \"bbox\": [439, 68, 451, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 68, 484, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".3\", \"bbox\": [382, 78, 390, 86]}, {\"cell\": \".44\", \"bbox\": [439, 78, 451, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 78, 484, 86]}, {\"cell\": \"Trial 1-5\", \"bbox\": [4, 88, 39, 98]}, {\"cell\": \"< 43\", \"bbox\": [337, 88, 354, 96]}, {\"cell\": \".1\", \"bbox\": [382, 88, 390, 96]}, {\"cell\": \".50\", \"bbox\": [439, 88, 451, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 88, 484, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".2\", \"bbox\": [382, 99, 390, 106]}, {\"cell\": \".43\", \"bbox\": [439, 99, 451, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 99, 484, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".3\", \"bbox\": [382, 109, 390, 117]}, {\"cell\": \".37\", \"bbox\": [439, 109, 451, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 109, 484, 117]}, {\"cell\": \"Interference list\", \"bbox\": [4, 119, 68, 129]}, {\"cell\": \"< 5\", \"bbox\": [337, 119, 350, 127]}, {\"cell\": \".1\", \"bbox\": [382, 119, 390, 127]}, {\"cell\": \".68\", \"bbox\": [439, 119, 451, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 119, 484, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".2\", \"bbox\": [382, 129, 390, 137]}, {\"cell\": \".59\", \"bbox\": [439, 129, 451, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 129, 484, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".3\", \"bbox\": [382, 140, 390, 147]}, {\"cell\": \".50\", \"bbox\": [439, 140, 451, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 140, 484, 147]}, {\"cell\": \"Trial 6\", \"bbox\": [4, 150, 32, 159]}, {\"cell\": \"< 7\", \"bbox\": [337, 150, 350, 158]}, {\"cell\": \".1\", \"bbox\": [382, 150, 390, 158]}, {\"cell\": \".65\", \"bbox\": [439, 150, 451, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 150, 484, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".2\", \"bbox\": [382, 160, 390, 168]}, {\"cell\": \".56\", \"bbox\": [439, 160, 451, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 160, 484, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".3\", \"bbox\": [382, 170, 390, 178]}, {\"cell\": \".48\", \"bbox\": [439, 170, 451, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 170, 484, 178]}, {\"cell\": \"Trial 7\", \"bbox\": [4, 181, 32, 190]}, {\"cell\": \"< 7\", \"bbox\": [337, 181, 350, 188]}, {\"cell\": \".1\", \"bbox\": [382, 181, 390, 188]}, {\"cell\": \".64\", \"bbox\": [439, 181, 451, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 181, 484, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".2\", \"bbox\": [382, 191, 390, 199]}, {\"cell\": \".55\", \"bbox\": [439, 191, 451, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 191, 484, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".3\", \"bbox\": [382, 201, 390, 209]}, {\"cell\": \".46\", \"bbox\": [439, 201, 451, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 201, 484, 209]}, {\"cell\": \"Trial 6-5\", \"bbox\": [4, 211, 39, 221]}, {\"cell\": \"< 2\", \"bbox\": [337, 211, 350, 219]}, {\"cell\": \".1\", \"bbox\": [382, 211, 390, 219]}, {\"cell\": \".80\", \"bbox\": [439, 211, 451, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 211, 484, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".2\", \"bbox\": [382, 222, 390, 229]}, {\"cell\": \".71\", \"bbox\": [439, 222, 451, 229]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 222, 484, 229]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".3\", \"bbox\": [382, 232, 390, 240]}, {\"cell\": \".61\", \"bbox\": [439, 232, 451, 240]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 232, 484, 240]}, {\"cell\": \"Trial 7-5\", \"bbox\": [4, 242, 39, 252]}, {\"cell\": \"< 2\", \"bbox\": [337, 242, 350, 250]}, {\"cell\": \".1\", \"bbox\": [382, 242, 390, 250]}, {\"cell\": \".59\", \"bbox\": [439, 242, 451, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 242, 484, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".2\", \"bbox\": [382, 252, 390, 260]}, {\"cell\": \".52\", \"bbox\": [439, 252, 451, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 252, 484, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".3\", \"bbox\": [382, 263, 390, 270]}, {\"cell\": \".45\", \"bbox\": [439, 263, 451, 270]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 263, 484, 270]}, {\"cell\": \"Recognition\", \"bbox\": [4, 273, 52, 282]}, {\"cell\": \"< 12\", \"bbox\": [337, 273, 354, 281]}, {\"cell\": \".1\", \"bbox\": [382, 273, 390, 281]}, {\"cell\": \".64\", \"bbox\": [439, 273, 451, 281]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 273, 484, 281]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".2\", \"bbox\": [382, 283, 390, 291]}, {\"cell\": \".55\", \"bbox\": [439, 283, 451, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 283, 484, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".3\", \"bbox\": [382, 293, 390, 301]}, {\"cell\": \".47\", \"bbox\": [439, 293, 451, 301]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 293, 484, 301]}, {\"cell\": \"Corrected recognition score\", \"bbox\": [4, 304, 116, 313]}, {\"cell\": \"< 11\", \"bbox\": [337, 304, 354, 311]}, {\"cell\": \".1\", \"bbox\": [382, 304, 390, 311]}, {\"cell\": \".15\", \"bbox\": [439, 304, 451, 311]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 304, 484, 311]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".2\", \"bbox\": [382, 314, 390, 322]}, {\"cell\": \".13\", \"bbox\": [439, 314, 451, 322]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 314, 484, 322]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".3\", \"bbox\": [382, 324, 390, 332]}, {\"cell\": \".12\", \"bbox\": [439, 324, 451, 332]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 324, 484, 332]}, {\"cell\": \"3recallednotrecog\", \"bbox\": [4, 334, 76, 344]}, {\"cell\": \"> 1\", \"bbox\": [337, 334, 350, 342]}, {\"cell\": \".1\", \"bbox\": [382, 334, 390, 342]}, {\"cell\": \".64\", \"bbox\": [439, 334, 451, 342]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 334, 484, 342]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".2\", \"bbox\": [382, 345, 390, 352]}, {\"cell\": \".54\", \"bbox\": [439, 345, 451, 352]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 345, 484, 352]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".3\", \"bbox\": [382, 355, 390, 363]}, {\"cell\": \".45\", \"bbox\": [439, 355, 451, 363]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 355, 484, 363]}, {\"cell\": \"VLMT number of times the first word was recalled in trials 1 to 5\", \"bbox\": [4, 365, 256, 375]}, {\"cell\": \"< 5\", \"bbox\": [337, 365, 350, 373]}, {\"cell\": \".1\", \"bbox\": [382, 365, 390, 373]}, {\"cell\": \".36\", \"bbox\": [439, 365, 451, 373]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 365, 484, 373]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".2\", \"bbox\": [382, 375, 390, 383]}, {\"cell\": \".31\", \"bbox\": [439, 375, 451, 383]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 375, 484, 383]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".3\", \"bbox\": [382, 386, 390, 393]}, {\"cell\": \".27\", \"bbox\": [439, 386, 451, 393]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 386, 484, 393]}, {\"cell\": \"VLMT number of times the last word was recalled in trials 1 to 5\", \"bbox\": [4, 396, 254, 405]}, {\"cell\": \"< 4\", \"bbox\": [337, 396, 350, 404]}, {\"cell\": \".1\", \"bbox\": [382, 396, 390, 404]}, {\"cell\": \".57\", \"bbox\": [439, 396, 451, 404]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 396, 484, 404]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".2\", \"bbox\": [382, 406, 390, 414]}, {\"cell\": \".51\", \"bbox\": [439, 406, 451, 414]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 406, 484, 414]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".3\", \"bbox\": [382, 416, 390, 424]}, {\"cell\": \".44\", \"bbox\": [439, 416, 451, 424]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 416, 484, 424]}, {\"cell\": \"FIT recall\", \"bbox\": [4, 427, 44, 436]}, {\"cell\": \"< 9\", \"bbox\": [337, 427, 350, 434]}, {\"cell\": \".1\", \"bbox\": [382, 427, 390, 434]}, {\"cell\": \".64\", \"bbox\": [439, 427, 451, 434]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 427, 484, 434]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".2\", \"bbox\": [382, 437, 390, 445]}, {\"cell\": \".56\", \"bbox\": [439, 437, 451, 445]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 437, 484, 445]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".3\", \"bbox\": [382, 447, 390, 455]}, {\"cell\": \".48\", \"bbox\": [439, 447, 451, 455]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 447, 484, 455]}, {\"cell\": \"FIT recognition\", \"bbox\": [4, 457, 66, 467]}, {\"cell\": \"< 12\", \"bbox\": [337, 457, 354, 465]}, {\"cell\": \".1\", \"bbox\": [382, 457, 390, 465]}, {\"cell\": \".68\", \"bbox\": [439, 457, 451, 465]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 457, 484, 465]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".2\", \"bbox\": [382, 468, 390, 475]}, {\"cell\": \".59\", \"bbox\": [439, 468, 451, 475]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 468, 484, 475]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".3\", \"bbox\": [382, 478, 390, 486]}, {\"cell\": \".50\", \"bbox\": [439, 478, 451, 486]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 478, 484, 486]}, {\"cell\": \"FIT combination score\", \"bbox\": [4, 488, 94, 498]}, {\"cell\": \"< 22\", \"bbox\": [337, 488, 354, 496]}, {\"cell\": \".1\", \"bbox\": [382, 488, 390, 496]}, {\"cell\": \".55\", \"bbox\": [439, 488, 451, 496]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 488, 484, 496]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".2\", \"bbox\": [382, 498, 390, 506]}, {\"cell\": \".48\", \"bbox\": [439, 498, 451, 506]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 498, 484, 506]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".3\", \"bbox\": [382, 509, 390, 516]}, {\"cell\": \".41\", \"bbox\": [439, 509, 451, 516]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 509, 484, 516]}, {\"cell\": \"BSV-STM correct responses\", \"bbox\": [4, 519, 115, 528]}, {\"cell\": \"< 84\", \"bbox\": [337, 519, 354, 527]}, {\"cell\": \".1\", \"bbox\": [382, 519, 390, 527]}, {\"cell\": \".34\", \"bbox\": [439, 519, 451, 527]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 519, 484, 527]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".2\", \"bbox\": [382, 529, 390, 537]}, {\"cell\": \".28\", \"bbox\": [439, 529, 451, 537]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 529, 484, 537]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".3\", \"bbox\": [382, 539, 390, 547]}, {\"cell\": \".23\", \"bbox\": [439, 539, 451, 547]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 539, 484, 547]}, {\"cell\": \"BSV-STM RT\", \"bbox\": [4, 550, 58, 559]}, {\"cell\": \"> 774\", \"bbox\": [337, 550, 358, 557]}, {\"cell\": \".1\", \"bbox\": [382, 550, 390, 557]}, {\"cell\": \".48\", \"bbox\": [439, 550, 451, 557]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 550, 484, 557]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".2\", \"bbox\": [382, 560, 390, 568]}, {\"cell\": \".40\", \"bbox\": [439, 560, 451, 568]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 560, 484, 568]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".3\", \"bbox\": [382, 570, 390, 578]}, {\"cell\": \".33\", \"bbox\": [439, 570, 451, 578]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 570, 484, 578]}, {\"cell\": \"VLMT 1\", \"bbox\": [4, 580, 37, 590]}, {\"cell\": \"< 57\", \"bbox\": [337, 580, 354, 588]}, {\"cell\": \".1\", \"bbox\": [382, 580, 390, 588]}, {\"cell\": \".67\", \"bbox\": [439, 580, 451, 588]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 580, 484, 588]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".2\", \"bbox\": [382, 591, 390, 598]}, {\"cell\": \".58\", \"bbox\": [439, 591, 451, 598]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 591, 484, 598]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".3\", \"bbox\": [382, 601, 390, 609]}, {\"cell\": \".48\", \"bbox\": [439, 601, 451, 609]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 601, 484, 609]}, {\"cell\": \"COMB 1\", \"bbox\": [4, 611, 40, 621]}, {\"cell\": \"< 58\", \"bbox\": [337, 611, 354, 619]}, {\"cell\": \".1\", \"bbox\": [382, 611, 390, 619]}, {\"cell\": \".67\", \"bbox\": [439, 611, 451, 619]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 611, 484, 619]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".2\", \"bbox\": [382, 621, 390, 629]}, {\"cell\": \".58\", \"bbox\": [439, 621, 451, 629]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 621, 484, 629]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".3\", \"bbox\": [382, 632, 390, 639]}, {\"cell\": \".48\", \"bbox\": [439, 632, 451, 639]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 632, 484, 639]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2569062_011_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
AssessmentBaseline mean score ± SDFinal assessment LS mean score ± SEPlacebo-adjusted LS mean change from baseline with pregabalina
[EMPTY_CELL]PlaceboPregabalinPlaceboPregabalinChange95% CIP-value
FIQ scoreb[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Morning tiredness[EMPTY_CELL]6.8 ± 2.25.73 ± 0.155.13 ± 0.15-0.59-1.01, -0.180.0023*
Feeling good[EMPTY_CELL]6.8 ± 2.65.94 ± 0.175.30 ± 0.17-0.63-1.12, -0.150.0052*
Fatigue[EMPTY_CELL]7.0 ± 1.95.94 ± 0.145.45 ± 0.14-0.49-0.89, -0.100.0075*
Pain[EMPTY_CELL]6.5 ± 1.65.36 ± 0.154.95 ± 0.15-0.41-0.81, 0.000.0238*
Physical functioning[EMPTY_CELL]3.3 ± 2.43.03 ± 0.112.74 ± 0.11-0.28-0.59, 0.030.0376
Housework[EMPTY_CELL]5.7 ± 2.54.61 ± 0.154.30 ± 0.15-0.31-0.74, 0.110.0729
Anxiety[EMPTY_CELL]4.6 ± 2.63.92 ± 0.163.64 ± 0.16-0.28-0.72, 0.150.1011
Stiffness[EMPTY_CELL]6.0 ± 2.55.05 ± 0.154.90 ± 0.15-0.14-0.57, 0.290.2568
Depression[EMPTY_CELL]3.9 ± 2.63.38 ± 0.143.34 ± 0.14-0.04-0.44, 0.350.4165
Missing work[EMPTY_CELL]2.2 ± 3.11.89 ± 0.151.87 ± 0.15-0.01-0.42, 0.400.4768
Total FIQ score[EMPTY_CELL]52.7 ± 15.344.89 ± 1.0841.56 ± 1.07-3.33-6.31, -0.350.0144*
SF-36 health surveyc[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Physical functioning[EMPTY_CELL]63.4 ± 20.868.44 ± 0.9372.73 ± 0.934.291.70, 6.880.0006*
Vitality[EMPTY_CELL]36.2 ± 20.542.01 ± 1.2246.43 ± 1.214.421.04, 7.800.0052*
Mental health[EMPTY_CELL]60.1 ± 20.364.47 ± 0.9867.11 ± 0.982.64-0.08, 5.370.0287*
Bodily pain[EMPTY_CELL]33.0 ± 14.043.27 ± 1.0645.42 ± 1.062.15-0.81, 5.100.0770
General health perception[EMPTY_CELL]41.4 ± 16.044.82 ± 0.8546.65 ± 0.851.83-0.54, 4.190.0648
Physical role limitations[EMPTY_CELL]52.7 ± 27.960.90 ± 1.3062.58 ± 1.301.68-1.93, 5.290.1805
Social functioning[EMPTY_CELL]61.9 ± 28.268.51 ± 1.3870.10 ± 1.371.59-2.23, 5.410.2068
Emotional role limitations[EMPTY_CELL]67.2 ± 27.272.99 ± 1.3672.76 ± 1.35-0.23-4.00, 3.540.5480
\", \"cells\": [{\"cell\": \"Assessment\", \"bbox\": [1, 4, 43, 13]}, {\"cell\": \"Baseline mean score ± SD\", \"bbox\": [116, 4, 168, 22]}, {\"cell\": \"Final assessment LS mean score ± SE\", \"bbox\": [203, 4, 296, 22]}, {\"cell\": \"Placebo-adjusted LS mean change from baseline with pregabalina\", \"bbox\": [309, 4, 481, 22]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Placebo\", \"bbox\": [101, 26, 130, 36]}, {\"cell\": \"Pregabalin\", \"bbox\": [150, 26, 189, 36]}, {\"cell\": \"Placebo\", \"bbox\": [208, 26, 238, 36]}, {\"cell\": \"Pregabalin\", \"bbox\": [257, 26, 296, 36]}, {\"cell\": \"Change\", \"bbox\": [319, 26, 347, 36]}, {\"cell\": \"95% CI\", \"bbox\": [382, 26, 409, 36]}, {\"cell\": \"P-value\", \"bbox\": [444, 26, 471, 36]}, {\"cell\": \"FIQ scoreb\", \"bbox\": [1, 38, 36, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Morning tiredness\", \"bbox\": [1, 51, 61, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 51, 130, 61]}, {\"cell\": \"6.8 ± 2.2\", \"bbox\": [154, 51, 184, 61]}, {\"cell\": \"5.73 ± 0.15\", \"bbox\": [204, 51, 242, 61]}, {\"cell\": \"5.13 ± 0.15\", \"bbox\": [258, 51, 296, 61]}, {\"cell\": \"-0.59\", \"bbox\": [324, 51, 341, 61]}, {\"cell\": \"-1.01, -0.18\", \"bbox\": [377, 51, 414, 61]}, {\"cell\": \"0.0023*\", \"bbox\": [445, 51, 470, 61]}, {\"cell\": \"Feeling good\", \"bbox\": [1, 63, 45, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 63, 130, 73]}, {\"cell\": \"6.8 ± 2.6\", \"bbox\": [154, 63, 184, 73]}, {\"cell\": \"5.94 ± 0.17\", \"bbox\": [204, 63, 242, 73]}, {\"cell\": \"5.30 ± 0.17\", \"bbox\": [258, 63, 296, 73]}, {\"cell\": \"-0.63\", \"bbox\": [324, 63, 341, 73]}, {\"cell\": \"-1.12, -0.15\", \"bbox\": [377, 63, 414, 73]}, {\"cell\": \"0.0052*\", \"bbox\": [445, 63, 470, 73]}, {\"cell\": \"Fatigue\", \"bbox\": [1, 75, 26, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 75, 130, 85]}, {\"cell\": \"7.0 ± 1.9\", \"bbox\": [154, 75, 184, 85]}, {\"cell\": \"5.94 ± 0.14\", \"bbox\": [204, 75, 242, 85]}, {\"cell\": \"5.45 ± 0.14\", \"bbox\": [258, 75, 296, 85]}, {\"cell\": \"-0.49\", \"bbox\": [324, 75, 341, 85]}, {\"cell\": \"-0.89, -0.10\", \"bbox\": [377, 75, 414, 85]}, {\"cell\": \"0.0075*\", \"bbox\": [445, 75, 470, 85]}, {\"cell\": \"Pain\", \"bbox\": [1, 87, 16, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 87, 130, 97]}, {\"cell\": \"6.5 ± 1.6\", \"bbox\": [154, 87, 184, 97]}, {\"cell\": \"5.36 ± 0.15\", \"bbox\": [204, 87, 242, 97]}, {\"cell\": \"4.95 ± 0.15\", \"bbox\": [258, 87, 296, 97]}, {\"cell\": \"-0.41\", \"bbox\": [324, 87, 341, 97]}, {\"cell\": \"-0.81, 0.00\", \"bbox\": [379, 87, 412, 97]}, {\"cell\": \"0.0238*\", \"bbox\": [445, 87, 470, 97]}, {\"cell\": \"Physical functioning\", \"bbox\": [1, 99, 67, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 99, 130, 109]}, {\"cell\": \"3.3 ± 2.4\", \"bbox\": [154, 99, 184, 109]}, {\"cell\": \"3.03 ± 0.11\", \"bbox\": [204, 99, 242, 109]}, {\"cell\": \"2.74 ± 0.11\", \"bbox\": [258, 99, 296, 109]}, {\"cell\": \"-0.28\", \"bbox\": [324, 99, 341, 109]}, {\"cell\": \"-0.59, 0.03\", \"bbox\": [379, 99, 412, 109]}, {\"cell\": \"0.0376\", \"bbox\": [446, 99, 469, 109]}, {\"cell\": \"Housework\", \"bbox\": [1, 111, 38, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 111, 130, 121]}, {\"cell\": \"5.7 ± 2.5\", \"bbox\": [154, 111, 184, 121]}, {\"cell\": \"4.61 ± 0.15\", \"bbox\": [204, 111, 242, 121]}, {\"cell\": \"4.30 ± 0.15\", \"bbox\": [258, 111, 296, 121]}, {\"cell\": \"-0.31\", \"bbox\": [324, 111, 341, 121]}, {\"cell\": \"-0.74, 0.11\", \"bbox\": [379, 111, 412, 121]}, {\"cell\": \"0.0729\", \"bbox\": [446, 111, 469, 121]}, {\"cell\": \"Anxiety\", \"bbox\": [1, 123, 26, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 123, 130, 133]}, {\"cell\": \"4.6 ± 2.6\", \"bbox\": [154, 123, 184, 133]}, {\"cell\": \"3.92 ± 0.16\", \"bbox\": [204, 123, 242, 133]}, {\"cell\": \"3.64 ± 0.16\", \"bbox\": [258, 123, 296, 133]}, {\"cell\": \"-0.28\", \"bbox\": [324, 123, 341, 133]}, {\"cell\": \"-0.72, 0.15\", \"bbox\": [379, 123, 412, 133]}, {\"cell\": \"0.1011\", \"bbox\": [446, 123, 469, 133]}, {\"cell\": \"Stiffness\", \"bbox\": [1, 135, 28, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 135, 130, 145]}, {\"cell\": \"6.0 ± 2.5\", \"bbox\": [154, 135, 184, 145]}, {\"cell\": \"5.05 ± 0.15\", \"bbox\": [204, 135, 242, 145]}, {\"cell\": \"4.90 ± 0.15\", \"bbox\": [258, 135, 296, 145]}, {\"cell\": \"-0.14\", \"bbox\": [324, 135, 341, 145]}, {\"cell\": \"-0.57, 0.29\", \"bbox\": [379, 135, 412, 145]}, {\"cell\": \"0.2568\", \"bbox\": [446, 135, 469, 145]}, {\"cell\": \"Depression\", \"bbox\": [1, 147, 38, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 147, 130, 156]}, {\"cell\": \"3.9 ± 2.6\", \"bbox\": [154, 147, 184, 156]}, {\"cell\": \"3.38 ± 0.14\", \"bbox\": [204, 147, 242, 156]}, {\"cell\": \"3.34 ± 0.14\", \"bbox\": [258, 147, 296, 156]}, {\"cell\": \"-0.04\", \"bbox\": [324, 147, 341, 156]}, {\"cell\": \"-0.44, 0.35\", \"bbox\": [379, 147, 412, 156]}, {\"cell\": \"0.4165\", \"bbox\": [446, 147, 469, 156]}, {\"cell\": \"Missing work\", \"bbox\": [1, 159, 45, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 159, 130, 168]}, {\"cell\": \"2.2 ± 3.1\", \"bbox\": [154, 159, 184, 168]}, {\"cell\": \"1.89 ± 0.15\", \"bbox\": [204, 159, 242, 168]}, {\"cell\": \"1.87 ± 0.15\", \"bbox\": [258, 159, 296, 168]}, {\"cell\": \"-0.01\", \"bbox\": [324, 159, 341, 168]}, {\"cell\": \"-0.42, 0.40\", \"bbox\": [379, 159, 412, 168]}, {\"cell\": \"0.4768\", \"bbox\": [446, 159, 469, 168]}, {\"cell\": \"Total FIQ score\", \"bbox\": [1, 171, 51, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [97, 171, 134, 180]}, {\"cell\": \"52.7 ± 15.3\", \"bbox\": [150, 171, 188, 180]}, {\"cell\": \"44.89 ± 1.08\", \"bbox\": [202, 171, 244, 180]}, {\"cell\": \"41.56 ± 1.07\", \"bbox\": [256, 171, 297, 180]}, {\"cell\": \"-3.33\", \"bbox\": [324, 171, 341, 180]}, {\"cell\": \"-6.31, -0.35\", \"bbox\": [377, 171, 414, 180]}, {\"cell\": \"0.0144*\", \"bbox\": [445, 171, 470, 180]}, {\"cell\": \"SF-36 health surveyc\", \"bbox\": [1, 182, 68, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Physical functioning\", \"bbox\": [1, 196, 67, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [97, 196, 134, 206]}, {\"cell\": \"63.4 ± 20.8\", \"bbox\": [150, 196, 188, 206]}, {\"cell\": \"68.44 ± 0.93\", \"bbox\": [202, 196, 244, 206]}, {\"cell\": \"72.73 ± 0.93\", \"bbox\": [256, 196, 297, 206]}, {\"cell\": \"4.29\", \"bbox\": [326, 196, 340, 206]}, {\"cell\": \"1.70, 6.88\", \"bbox\": [380, 196, 411, 206]}, {\"cell\": \"0.0006*\", \"bbox\": [445, 196, 470, 206]}, {\"cell\": \"Vitality\", \"bbox\": [1, 208, 23, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [97, 208, 134, 217]}, {\"cell\": \"36.2 ± 20.5\", \"bbox\": [150, 208, 188, 217]}, {\"cell\": \"42.01 ± 1.22\", \"bbox\": [202, 208, 244, 217]}, {\"cell\": \"46.43 ± 1.21\", \"bbox\": [256, 208, 297, 217]}, {\"cell\": \"4.42\", \"bbox\": [326, 208, 340, 217]}, {\"cell\": \"1.04, 7.80\", \"bbox\": [380, 208, 411, 217]}, {\"cell\": \"0.0052*\", \"bbox\": [445, 208, 470, 217]}, {\"cell\": \"Mental health\", \"bbox\": [1, 220, 47, 229]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [97, 220, 134, 229]}, {\"cell\": \"60.1 ± 20.3\", \"bbox\": [150, 220, 188, 229]}, {\"cell\": \"64.47 ± 0.98\", \"bbox\": [202, 220, 244, 229]}, {\"cell\": \"67.11 ± 0.98\", \"bbox\": [256, 220, 297, 229]}, {\"cell\": \"2.64\", \"bbox\": [326, 220, 340, 229]}, {\"cell\": \"-0.08, 5.37\", \"bbox\": [379, 220, 412, 229]}, {\"cell\": \"0.0287*\", \"bbox\": [445, 220, 470, 229]}, {\"cell\": \"Bodily pain\", \"bbox\": [1, 232, 38, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [97, 232, 134, 241]}, {\"cell\": \"33.0 ± 14.0\", \"bbox\": [150, 232, 188, 241]}, {\"cell\": \"43.27 ± 1.06\", \"bbox\": [202, 232, 244, 241]}, {\"cell\": \"45.42 ± 1.06\", \"bbox\": [256, 232, 297, 241]}, {\"cell\": \"2.15\", \"bbox\": [326, 232, 340, 241]}, {\"cell\": \"-0.81, 5.10\", \"bbox\": [379, 232, 412, 241]}, {\"cell\": \"0.0770\", \"bbox\": [446, 232, 469, 241]}, {\"cell\": \"General health perception\", \"bbox\": [1, 244, 87, 253]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [97, 244, 134, 253]}, {\"cell\": \"41.4 ± 16.0\", \"bbox\": [150, 244, 188, 253]}, {\"cell\": \"44.82 ± 0.85\", \"bbox\": [202, 244, 244, 253]}, {\"cell\": \"46.65 ± 0.85\", \"bbox\": [256, 244, 297, 253]}, {\"cell\": \"1.83\", \"bbox\": [326, 244, 340, 253]}, {\"cell\": \"-0.54, 4.19\", \"bbox\": [379, 244, 412, 253]}, {\"cell\": \"0.0648\", \"bbox\": [446, 244, 469, 253]}, {\"cell\": \"Physical role limitations\", \"bbox\": [1, 256, 78, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [97, 256, 134, 265]}, {\"cell\": \"52.7 ± 27.9\", \"bbox\": [150, 256, 188, 265]}, {\"cell\": \"60.90 ± 1.30\", \"bbox\": [202, 256, 244, 265]}, {\"cell\": \"62.58 ± 1.30\", \"bbox\": [256, 256, 297, 265]}, {\"cell\": \"1.68\", \"bbox\": [326, 256, 340, 265]}, {\"cell\": \"-1.93, 5.29\", \"bbox\": [379, 256, 412, 265]}, {\"cell\": \"0.1805\", \"bbox\": [446, 256, 469, 265]}, {\"cell\": \"Social functioning\", \"bbox\": [1, 268, 60, 277]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [97, 268, 134, 277]}, {\"cell\": \"61.9 ± 28.2\", \"bbox\": [150, 268, 188, 277]}, {\"cell\": \"68.51 ± 1.38\", \"bbox\": [202, 268, 244, 277]}, {\"cell\": \"70.10 ± 1.37\", \"bbox\": [256, 268, 297, 277]}, {\"cell\": \"1.59\", \"bbox\": [326, 268, 340, 277]}, {\"cell\": \"-2.23, 5.41\", \"bbox\": [379, 268, 412, 277]}, {\"cell\": \"0.2068\", \"bbox\": [446, 268, 469, 277]}, {\"cell\": \"Emotional role limitations\", \"bbox\": [1, 280, 85, 289]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [97, 280, 134, 289]}, {\"cell\": \"67.2 ± 27.2\", \"bbox\": [150, 280, 188, 289]}, {\"cell\": \"72.99 ± 1.36\", \"bbox\": [202, 280, 244, 289]}, {\"cell\": \"72.76 ± 1.35\", \"bbox\": [256, 280, 297, 289]}, {\"cell\": \"-0.23\", \"bbox\": [324, 280, 341, 289]}, {\"cell\": \"-4.00, 3.54\", \"bbox\": [379, 280, 412, 289]}, {\"cell\": \"0.5480\", \"bbox\": [446, 280, 469, 289]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3580529_005_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Demographics[EMPTY_CELL]
[EMPTY_CELL]149 (79.7)
[EMPTY_CELL]54.9 (10.8)
[EMPTY_CELL]137 (73.3)
[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]38 (20.3)
[EMPTY_CELL]53.6 (20.8)
[EMPTY_CELL]40.3 (11.9)
[EMPTY_CELL]61.6 (19.1)
[EMPTY_CELL]61.9 (14.9)
[EMPTY_CELL]11.4 (4.8)
[EMPTY_CELL]14.7 (6.2)
[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]40.5 (21.7)
[EMPTY_CELL]42.8 (24.3)
[EMPTY_CELL]36.1 (16.9)
[EMPTY_CELL]40.4 (16.6)
[EMPTY_CELL]39.0 (19.7)
[EMPTY_CELL]57.2 (26.1)
[EMPTY_CELL]54.1 (26.7)
[EMPTY_CELL]56.8 (19.4)
[EMPTY_CELL]33.8 (7.5)
[EMPTY_CELL]40.5 (11.0)
[EMPTY_CELL]1.49 (0.6)
[EMPTY_CELL]28.3 (10.1)
\", \"cells\": [{\"cell\": \"Demographics\", \"bbox\": [1, 4, 53, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 46, 27]}, {\"cell\": \"149 (79.7)\", \"bbox\": [202, 17, 235, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 31, 53, 41]}, {\"cell\": \"54.9 (10.8)\", \"bbox\": [202, 31, 236, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 45, 55, 55]}, {\"cell\": \"137 (73.3)\", \"bbox\": [202, 45, 235, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 59, 63, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 73, 90, 83]}, {\"cell\": \"38 (20.3)\", \"bbox\": [202, 73, 231, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 87, 97, 97]}, {\"cell\": \"53.6 (20.8)\", \"bbox\": [202, 87, 236, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 101, 55, 111]}, {\"cell\": \"40.3 (11.9)\", \"bbox\": [202, 101, 236, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 115, 172, 125]}, {\"cell\": \"61.6 (19.1)\", \"bbox\": [202, 115, 236, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 129, 180, 139]}, {\"cell\": \"61.9 (14.9)\", \"bbox\": [202, 129, 236, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 143, 102, 153]}, {\"cell\": \"11.4 (4.8)\", \"bbox\": [202, 143, 233, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 157, 99, 167]}, {\"cell\": \"14.7 (6.2)\", \"bbox\": [202, 157, 233, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 171, 45, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 185, 124, 195]}, {\"cell\": \"40.5 (21.7)\", \"bbox\": [202, 185, 236, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 199, 101, 209]}, {\"cell\": \"42.8 (24.3)\", \"bbox\": [202, 199, 236, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 213, 95, 223]}, {\"cell\": \"36.1 (16.9)\", \"bbox\": [202, 213, 236, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 227, 106, 237]}, {\"cell\": \"40.4 (16.6)\", \"bbox\": [202, 227, 236, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 241, 80, 251]}, {\"cell\": \"39.0 (19.7)\", \"bbox\": [202, 241, 236, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 255, 117, 265]}, {\"cell\": \"57.2 (26.1)\", \"bbox\": [202, 255, 236, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 269, 108, 279]}, {\"cell\": \"54.1 (26.7)\", \"bbox\": [202, 269, 236, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 283, 104, 293]}, {\"cell\": \"56.8 (19.4)\", \"bbox\": [202, 283, 236, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 297, 116, 307]}, {\"cell\": \"33.8 (7.5)\", \"bbox\": [202, 297, 233, 307]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 311, 113, 321]}, {\"cell\": \"40.5 (11.0)\", \"bbox\": [202, 311, 236, 321]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 325, 64, 335]}, {\"cell\": \"1.49 (0.6)\", \"bbox\": [202, 325, 233, 335]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 339, 84, 349]}, {\"cell\": \"28.3 (10.1)\", \"bbox\": [202, 339, 236, 349]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4016279_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
CharacteristicsPatients with post-ERCP pancreatitis (N = 21 )Patients without post-ERCP pancreatitis (N = 145)P
Female17[EMPTY_CELL]0.14
Male4[EMPTY_CELL]
Age (years)48.3 ± 16.2[EMPTY_CELL]0.21
<50 years11[EMPTY_CELL]0.44
>50 years10[EMPTY_CELL]
Ambulatory ERCP10[EMPTY_CELL]0.51
Hospitalized ERCP11[EMPTY_CELL]
Dilated bile duct by imaging studies pre-ERCP14[EMPTY_CELL]0.58
Without dilation bile duct by imaging studies pre-ERCP7[EMPTY_CELL]
Diameter of the bile duct by ERCP (mm)9.0 ± 2.1[EMPTY_CELL]0.001
With previous cholecystectomy13[EMPTY_CELL]0.12
Without previous cholecystectomy8[EMPTY_CELL]
Elevated pre-ERCP bilirubin18[EMPTY_CELL]0.12
Normal pre-ERCP bilirubin3[EMPTY_CELL]
Number of attempts to cannulate the biliary tract9.1 ± 2.7[EMPTY_CELL]0.02
Difficult cannulation[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
<8 attempts5[EMPTY_CELL]0.005
>8 attempts16[EMPTY_CELL]
Precut (access) sphincterotomy[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Yes17[EMPTY_CELL]0.01
No4[EMPTY_CELL]
Biliary sphincterotomy[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Yes11[EMPTY_CELL]0.54
No10[EMPTY_CELL]
Cannulation time of the bile duct (min)8.7 ± 2.8[EMPTY_CELL]0.001
ERCP Length (min)30.0 ± 3.7[EMPTY_CELL]0.001
Pancreatography[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Yes17[EMPTY_CELL]0.002
No4[EMPTY_CELL]
Number of passes of the guide in the Wirsung duct.2.3 ± 0.76[EMPTY_CELL]0.000
Number of injections into the Wirsung duct.2.0 ± 0.72[EMPTY_CELL]0.001
Pancreatography extension[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Partial2[EMPTY_CELL]0.39
Full13[EMPTY_CELL]
Acinarization2[EMPTY_CELL]
Serum amylase at 2 hours post-ERCP (U/L)1163.5 ± 999.6[EMPTY_CELL]0.001
\", \"cells\": [{\"cell\": \"Characteristics\", \"bbox\": [1, 4, 48, 13]}, {\"cell\": \"Patients with post-ERCP pancreatitis (N = 21 )\", \"bbox\": [219, 4, 297, 22]}, {\"cell\": \"Patients without post-ERCP pancreatitis (N = 145)\", \"bbox\": [337, 4, 426, 22]}, {\"cell\": \"P\", \"bbox\": [466, 4, 472, 13]}, {\"cell\": \"Female\", \"bbox\": [1, 26, 26, 36]}, {\"cell\": \"17\", \"bbox\": [219, 26, 229, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 26, 347, 36]}, {\"cell\": \"0.14\", \"bbox\": [466, 26, 481, 36]}, {\"cell\": \"Male\", \"bbox\": [1, 40, 18, 50]}, {\"cell\": \"4\", \"bbox\": [219, 40, 225, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 40, 347, 50]}, {\"cell\": \"Age (years)\", \"bbox\": [1, 54, 38, 64]}, {\"cell\": \"48.3 ± 16.2\", \"bbox\": [219, 54, 255, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 54, 373, 64]}, {\"cell\": \"0.21\", \"bbox\": [466, 54, 481, 64]}, {\"cell\": \" <50 years\", \"bbox\": [8, 68, 41, 78]}, {\"cell\": \"11\", \"bbox\": [219, 68, 229, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 68, 347, 78]}, {\"cell\": \"0.44\", \"bbox\": [466, 68, 481, 78]}, {\"cell\": \" >50 years\", \"bbox\": [8, 82, 41, 92]}, {\"cell\": \"10\", \"bbox\": [219, 82, 229, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 82, 347, 92]}, {\"cell\": \"Ambulatory ERCP\", \"bbox\": [1, 96, 58, 106]}, {\"cell\": \"10\", \"bbox\": [219, 96, 229, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 96, 347, 106]}, {\"cell\": \"0.51\", \"bbox\": [466, 96, 481, 106]}, {\"cell\": \"Hospitalized ERCP\", \"bbox\": [1, 110, 60, 120]}, {\"cell\": \"11\", \"bbox\": [219, 110, 229, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 110, 347, 120]}, {\"cell\": \"Dilated bile duct by imaging studies pre-ERCP\", \"bbox\": [1, 124, 151, 134]}, {\"cell\": \"14\", \"bbox\": [219, 124, 229, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 124, 351, 134]}, {\"cell\": \"0.58\", \"bbox\": [466, 124, 481, 134]}, {\"cell\": \"Without dilation bile duct by imaging studies pre-ERCP\", \"bbox\": [1, 138, 180, 148]}, {\"cell\": \"7\", \"bbox\": [219, 138, 225, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 138, 347, 148]}, {\"cell\": \"Diameter of the bile duct by ERCP (mm)\", \"bbox\": [1, 152, 132, 162]}, {\"cell\": \"9.0 ± 2.1\", \"bbox\": [219, 152, 247, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 152, 369, 162]}, {\"cell\": \"0.001\", \"bbox\": [466, 152, 484, 162]}, {\"cell\": \"With previous cholecystectomy\", \"bbox\": [1, 166, 103, 176]}, {\"cell\": \"13\", \"bbox\": [219, 166, 229, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 166, 347, 176]}, {\"cell\": \"0.12\", \"bbox\": [466, 166, 481, 176]}, {\"cell\": \"Without previous cholecystectomy\", \"bbox\": [1, 180, 114, 190]}, {\"cell\": \"8\", \"bbox\": [219, 180, 225, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 180, 347, 190]}, {\"cell\": \"Elevated pre-ERCP bilirubin\", \"bbox\": [1, 194, 89, 204]}, {\"cell\": \"18\", \"bbox\": [219, 194, 229, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 194, 347, 204]}, {\"cell\": \"0.12\", \"bbox\": [466, 194, 481, 204]}, {\"cell\": \"Normal pre-ERCP bilirubin\", \"bbox\": [1, 208, 86, 218]}, {\"cell\": \"3\", \"bbox\": [219, 208, 225, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 208, 347, 218]}, {\"cell\": \"Number of attempts to cannulate the biliary tract\", \"bbox\": [1, 222, 161, 232]}, {\"cell\": \"9.1 ± 2.7\", \"bbox\": [219, 222, 247, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 222, 365, 232]}, {\"cell\": \"0.02\", \"bbox\": [466, 222, 481, 232]}, {\"cell\": \"Difficult cannulation\", \"bbox\": [1, 236, 67, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" <8 attempts\", \"bbox\": [8, 250, 50, 260]}, {\"cell\": \"5\", \"bbox\": [219, 250, 225, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 250, 347, 260]}, {\"cell\": \"0.005\", \"bbox\": [466, 250, 484, 260]}, {\"cell\": \" >8 attempts\", \"bbox\": [8, 264, 50, 274]}, {\"cell\": \"16\", \"bbox\": [219, 264, 229, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 264, 347, 274]}, {\"cell\": \"Precut (access) sphincterotomy\", \"bbox\": [1, 278, 102, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Yes\", \"bbox\": [8, 292, 21, 302]}, {\"cell\": \"17\", \"bbox\": [219, 292, 229, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 292, 347, 302]}, {\"cell\": \"0.01\", \"bbox\": [466, 292, 481, 302]}, {\"cell\": \" No\", \"bbox\": [8, 306, 20, 316]}, {\"cell\": \"4\", \"bbox\": [219, 306, 225, 316]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 306, 347, 316]}, {\"cell\": \"Biliary sphincterotomy\", \"bbox\": [1, 320, 74, 330]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Yes\", \"bbox\": [8, 334, 21, 344]}, {\"cell\": \"11\", \"bbox\": [219, 334, 229, 344]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 334, 347, 344]}, {\"cell\": \"0.54\", \"bbox\": [466, 334, 481, 344]}, {\"cell\": \" No\", \"bbox\": [8, 348, 20, 358]}, {\"cell\": \"10\", \"bbox\": [219, 348, 229, 358]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 348, 347, 358]}, {\"cell\": \"Cannulation time of the bile duct (min)\", \"bbox\": [1, 362, 129, 372]}, {\"cell\": \"8.7 ± 2.8\", \"bbox\": [219, 362, 247, 372]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 362, 365, 372]}, {\"cell\": \"0.001\", \"bbox\": [466, 362, 484, 372]}, {\"cell\": \"ERCP Length (min)\", \"bbox\": [1, 376, 63, 386]}, {\"cell\": \"30.0 ± 3.7\", \"bbox\": [219, 376, 251, 386]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 376, 369, 386]}, {\"cell\": \"0.001\", \"bbox\": [466, 376, 484, 386]}, {\"cell\": \"Pancreatography\", \"bbox\": [1, 390, 56, 400]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Yes\", \"bbox\": [8, 404, 21, 414]}, {\"cell\": \"17\", \"bbox\": [219, 404, 229, 414]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 404, 347, 414]}, {\"cell\": \"0.002\", \"bbox\": [466, 404, 484, 414]}, {\"cell\": \" No\", \"bbox\": [8, 418, 20, 428]}, {\"cell\": \"4\", \"bbox\": [219, 418, 225, 428]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 418, 347, 428]}, {\"cell\": \"Number of passes of the guide in the Wirsung duct.\", \"bbox\": [1, 432, 170, 442]}, {\"cell\": \"2.3 ± 0.76\", \"bbox\": [219, 432, 251, 442]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 432, 373, 442]}, {\"cell\": \"0.000\", \"bbox\": [466, 432, 484, 442]}, {\"cell\": \"Number of injections into the Wirsung duct.\", \"bbox\": [1, 446, 145, 456]}, {\"cell\": \"2.0 ± 0.72\", \"bbox\": [219, 446, 251, 456]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 446, 373, 456]}, {\"cell\": \"0.001\", \"bbox\": [466, 446, 484, 456]}, {\"cell\": \"Pancreatography extension\", \"bbox\": [1, 460, 90, 470]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Partial\", \"bbox\": [8, 474, 30, 484]}, {\"cell\": \"2\", \"bbox\": [219, 474, 225, 484]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 474, 343, 484]}, {\"cell\": \"0.39\", \"bbox\": [466, 474, 481, 484]}, {\"cell\": \" Full\", \"bbox\": [8, 488, 22, 498]}, {\"cell\": \"13\", \"bbox\": [219, 488, 229, 498]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 488, 347, 498]}, {\"cell\": \" Acinarization\", \"bbox\": [8, 502, 51, 512]}, {\"cell\": \"2\", \"bbox\": [219, 502, 225, 512]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 502, 343, 512]}, {\"cell\": \" Serum amylase at 2 hours post-ERCP (U/L)\", \"bbox\": [8, 516, 146, 526]}, {\"cell\": \"1163.5 ± 999.6\", \"bbox\": [219, 516, 266, 526]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 516, 380, 526]}, {\"cell\": \"0.001\", \"bbox\": [466, 516, 484, 526]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4508969_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Provisional taxonBayesian clustering (see Figure 1)Phylogeny (see Figure 2)Traditional speciesGeneral comments/notes
‘X. aff. lineola’‘D’‘Clade D-1’[EMPTY_CELL]Non-isidiate forms expressing the salazinic acid chemosyndrome, know from three specimens collected in montane habitats in Utah (Duchesne & Washington Counties), USA.
‘X. isidiomontana’*‘D’‘Clade D-2’[EMPTY_CELL]Lineage dominated by the chemically polymorphic (norstictic, salazinic, and stictic acid chemosyndromes), isidiate forms in continental habitats in the Intermountain Western USA, east to the western Dakotas, USA.
‘X. subcumberlandia’‘E-1a’‘Custer E-1a’[EMPTY_CELL]Non-isidiate forms expressing the stictic acid chemosyndrome, from continental habitats in the Intermountain Western USA.
‘X. utahensis’*‘E-1b’‘Clade E-1b’[EMPTY_CELL]Non-isidiate forms expressing the salazinic acid chemosyndrome, from continental habitats in the Intermountain Western USA.
‘X. wyomingica’‘E-2a’, ‘E-2b’, ‘E-2c’‘Clade E-2’[EMPTY_CELL]Morphologically variable forms, ranging from adnate saxicolous forms to semi-attached and completely vagrant terricolous forms. Saxicolous forms generally express the salazinic acid chemosyndrome, but vagrant forms are chemically polymorphic, producing salazinic, stictic, nortstic, and fatty acid chemosyndromes.
\", \"cells\": [{\"cell\": \"Provisional taxon\", \"bbox\": [1, 36, 57, 48]}, {\"cell\": \"Bayesian clustering (see Figure 1)\", \"bbox\": [67, 14, 115, 48]}, {\"cell\": \"Phylogeny (see Figure 2)\", \"bbox\": [114, 25, 163, 48]}, {\"cell\": \"Traditional species\", \"bbox\": [165, 36, 225, 48]}, {\"cell\": \"General comments/notes\", \"bbox\": [281, 36, 361, 48]}, {\"cell\": \"‘X. aff. lineola’\", \"bbox\": [1, 59, 43, 70]}, {\"cell\": \"‘D’\", \"bbox\": [67, 59, 76, 70]}, {\"cell\": \"‘Clade D-1’\", \"bbox\": [113, 59, 148, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 59, 204, 70]}, {\"cell\": \"Non-isidiate forms expressing the salazinic acid chemosyndrome, know from three specimens collected in montane habitats in Utah (Duchesne & Washington Counties), USA. \", \"bbox\": [281, 48, 493, 81]}, {\"cell\": \"‘X. isidiomontana’*\", \"bbox\": [1, 91, 56, 103]}, {\"cell\": \"‘D’\", \"bbox\": [67, 92, 76, 103]}, {\"cell\": \"‘Clade D-2’\", \"bbox\": [113, 92, 148, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 86, 272, 108]}, {\"cell\": \"Lineage dominated by the chemically polymorphic (norstictic, salazinic, and stictic acid chemosyndromes), isidiate forms in continental habitats in the Intermountain Western USA, east to the western Dakotas, USA. \", \"bbox\": [281, 81, 499, 114]}, {\"cell\": \"‘X. subcumberlandia’\", \"bbox\": [1, 119, 63, 130]}, {\"cell\": \"‘E-1a’\", \"bbox\": [67, 119, 85, 130]}, {\"cell\": \"‘Custer E-1a’\", \"bbox\": [113, 119, 153, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 119, 224, 130]}, {\"cell\": \"Non-isidiate forms expressing the stictic acid chemosyndrome, from continental habitats in the Intermountain Western USA.\", \"bbox\": [281, 114, 478, 136]}, {\"cell\": \"‘X. utahensis’*\", \"bbox\": [1, 140, 43, 152]}, {\"cell\": \"‘E-1b’\", \"bbox\": [67, 141, 85, 152]}, {\"cell\": \"‘Clade E-1b’\", \"bbox\": [113, 141, 151, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 141, 225, 152]}, {\"cell\": \"Non-isidiate forms expressing the salazinic acid chemosyndrome, from continental habitats in the Intermountain Western USA.\", \"bbox\": [281, 136, 486, 158]}, {\"cell\": \"‘X. wyomingica’\", \"bbox\": [1, 185, 47, 196]}, {\"cell\": \"‘E-2a’, ‘E-2b’, ‘E-2c’\", \"bbox\": [67, 180, 107, 202]}, {\"cell\": \"‘Clade E-2’\", \"bbox\": [113, 185, 147, 196]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 158, 276, 224]}, {\"cell\": \"Morphologically variable forms, ranging from adnate saxicolous forms to semi-attached and completely vagrant terricolous forms. Saxicolous forms generally express the salazinic acid chemosyndrome, but vagrant forms are chemically polymorphic, producing salazinic, stictic, nortstic, and fatty acid chemosyndromes. \", \"bbox\": [281, 163, 496, 218]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3873437_010_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
FacilitatorsGroup with worse attitudesN (%)Group with better attitudesN (%)p
[EMPTY_CELL]136 (97.1)92 (97.9)1.0a
[EMPTY_CELL]139 (99.3)90 (95.7)0.16a
[EMPTY_CELL]134 (95.7)88 (93.6)0.55a
[EMPTY_CELL]136 (97.1)92 (97.9)1.0a
[EMPTY_CELL]136 (97.1)90 (95.7)0.72a
[EMPTY_CELL]136 (97.1)90 (95.7)0.72a
[EMPTY_CELL]137 (97.9)92 (97.9)1.0a
[EMPTY_CELL]115 (82.1)77 (81.9)0.96b
\", \"cells\": [{\"cell\": \"Facilitators\", \"bbox\": [2, 14, 44, 24]}, {\"cell\": \"Group with worse attitudesN (%)\", \"bbox\": [245, 4, 301, 37]}, {\"cell\": \"Group with better attitudesN (%)\", \"bbox\": [363, 4, 419, 37]}, {\"cell\": \"p\", \"bbox\": [485, 10, 492, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 38, 129, 48]}, {\"cell\": \"136 (97.1)\", \"bbox\": [256, 38, 290, 49]}, {\"cell\": \"92 (97.9)\", \"bbox\": [375, 38, 407, 49]}, {\"cell\": \"1.0a\", \"bbox\": [481, 36, 495, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 51, 148, 62]}, {\"cell\": \"139 (99.3)\", \"bbox\": [255, 52, 291, 62]}, {\"cell\": \"90 (95.7)\", \"bbox\": [374, 52, 408, 62]}, {\"cell\": \"0.16a\", \"bbox\": [479, 49, 497, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 64, 176, 75]}, {\"cell\": \"134 (95.7)\", \"bbox\": [255, 65, 291, 76]}, {\"cell\": \"88 (93.6)\", \"bbox\": [374, 65, 408, 76]}, {\"cell\": \"0.55a\", \"bbox\": [478, 62, 498, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 77, 163, 88]}, {\"cell\": \"136 (97.1)\", \"bbox\": [256, 78, 290, 89]}, {\"cell\": \"92 (97.9)\", \"bbox\": [375, 78, 407, 89]}, {\"cell\": \"1.0a\", \"bbox\": [481, 76, 495, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 91, 178, 101]}, {\"cell\": \"136 (97.1)\", \"bbox\": [256, 91, 290, 102]}, {\"cell\": \"90 (95.7)\", \"bbox\": [374, 91, 408, 102]}, {\"cell\": \"0.72a\", \"bbox\": [478, 89, 498, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 104, 190, 115]}, {\"cell\": \"136 (97.1)\", \"bbox\": [256, 105, 290, 115]}, {\"cell\": \"90 (95.7)\", \"bbox\": [374, 105, 408, 115]}, {\"cell\": \"0.72a\", \"bbox\": [478, 102, 498, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 117, 176, 128]}, {\"cell\": \"137 (97.9)\", \"bbox\": [256, 118, 291, 129]}, {\"cell\": \"92 (97.9)\", \"bbox\": [375, 118, 407, 129]}, {\"cell\": \"1.0a\", \"bbox\": [481, 115, 495, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 130, 137, 141]}, {\"cell\": \"115 (82.1)\", \"bbox\": [256, 131, 290, 142]}, {\"cell\": \"77 (81.9)\", \"bbox\": [375, 131, 407, 142]}, {\"cell\": \"0.96b\", \"bbox\": [478, 129, 498, 141]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4739209_004_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariableIDH n (%)NO IDH n (%)OR (CI)P value
Obstructive nephropathy13 (39.4)20 (60.6)[EMPTY_CELL]0.004
Pre-dialysis Hypotension1 (3.4)29 (96.6)[EMPTY_CELL]0.040
Male37 (20.6)143 (79.4)[EMPTY_CELL]0.716
Female27 (18.9)99 (81.1)[EMPTY_CELL][EMPTY_CELL]
Age >65years15 (24.6)49 (75.4)[EMPTY_CELL]0.302
AKI22 (27.5)80 (72.5)[EMPTY_CELL]0.712
CKD60 (24.8)242 (75.2)[EMPTY_CELL][EMPTY_CELL]
HIVAN5 (17.9)23 (82.1)[EMPTY_CELL]0.779
Anaemia (PCV <20%)12 (18.5)53 (81.5)[EMPTY_CELL]0.759
Diabetes nephropathy13 (22.4)45 (77.6)[EMPTY_CELL]0.609
\", \"cells\": [{\"cell\": \"Variable\", \"bbox\": [1, 3, 36, 13]}, {\"cell\": \"IDH n (%)\", \"bbox\": [106, 3, 133, 27]}, {\"cell\": \"NO IDH n (%)\", \"bbox\": [170, 3, 203, 27]}, {\"cell\": \"OR (CI)\", \"bbox\": [227, 10, 260, 20]}, {\"cell\": \"P value\", \"bbox\": [312, 10, 343, 20]}, {\"cell\": \"Obstructive nephropathy\", \"bbox\": [1, 32, 90, 42]}, {\"cell\": \"13 (39.4)\", \"bbox\": [106, 32, 141, 42]}, {\"cell\": \"20 (60.6)\", \"bbox\": [170, 32, 205, 42]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [227, 32, 289, 42]}, {\"cell\": \"0.004\", \"bbox\": [312, 32, 334, 42]}, {\"cell\": \"Pre-dialysis Hypotension\", \"bbox\": [1, 47, 88, 57]}, {\"cell\": \"1 (3.4)\", \"bbox\": [106, 47, 133, 57]}, {\"cell\": \"29 (96.6)\", \"bbox\": [170, 47, 205, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [227, 47, 289, 57]}, {\"cell\": \"0.040\", \"bbox\": [312, 47, 334, 57]}, {\"cell\": \"Male\", \"bbox\": [1, 62, 19, 72]}, {\"cell\": \"37 (20.6)\", \"bbox\": [106, 62, 141, 72]}, {\"cell\": \"143 (79.4)\", \"bbox\": [170, 62, 209, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [227, 62, 289, 72]}, {\"cell\": \"0.716\", \"bbox\": [312, 62, 334, 72]}, {\"cell\": \"Female\", \"bbox\": [1, 77, 28, 87]}, {\"cell\": \"27 (18.9)\", \"bbox\": [106, 77, 141, 87]}, {\"cell\": \"99 (81.1)\", \"bbox\": [170, 77, 205, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Age >65years\", \"bbox\": [1, 92, 52, 102]}, {\"cell\": \"15 (24.6)\", \"bbox\": [106, 92, 141, 102]}, {\"cell\": \"49 (75.4)\", \"bbox\": [170, 92, 205, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [227, 92, 285, 102]}, {\"cell\": \"0.302\", \"bbox\": [312, 92, 334, 102]}, {\"cell\": \"AKI\", \"bbox\": [1, 107, 15, 117]}, {\"cell\": \"22 (27.5)\", \"bbox\": [106, 108, 141, 118]}, {\"cell\": \"80 (72.5)\", \"bbox\": [170, 108, 205, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [227, 108, 289, 118]}, {\"cell\": \"0.712\", \"bbox\": [312, 108, 334, 118]}, {\"cell\": \"CKD\", \"bbox\": [1, 125, 17, 135]}, {\"cell\": \"60 (24.8)\", \"bbox\": [106, 125, 141, 135]}, {\"cell\": \"242 (75.2)\", \"bbox\": [170, 125, 209, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"HIVAN\", \"bbox\": [1, 140, 26, 150]}, {\"cell\": \"5 (17.9)\", \"bbox\": [106, 140, 137, 150]}, {\"cell\": \"23 (82.1)\", \"bbox\": [170, 140, 205, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [227, 140, 289, 150]}, {\"cell\": \"0.779\", \"bbox\": [312, 140, 334, 150]}, {\"cell\": \"Anaemia (PCV <20%)\", \"bbox\": [1, 155, 80, 165]}, {\"cell\": \"12 (18.5)\", \"bbox\": [106, 155, 141, 165]}, {\"cell\": \"53 (81.5)\", \"bbox\": [170, 155, 205, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [227, 155, 289, 165]}, {\"cell\": \"0.759\", \"bbox\": [312, 155, 334, 165]}, {\"cell\": \"Diabetes nephropathy\", \"bbox\": [1, 170, 80, 180]}, {\"cell\": \"13 (22.4)\", \"bbox\": [106, 170, 141, 180]}, {\"cell\": \"45 (77.6)\", \"bbox\": [170, 170, 205, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [227, 170, 289, 180]}, {\"cell\": \"0.609\", \"bbox\": [312, 170, 334, 180]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5718757_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
OutcomesEver EC Use (n = 528)Unstandardized Coefficient b a (95% CI)
No (%)Yes (%)Model 1Model 2 b
Readier to quit c[EMPTY_CELL]24.60.77 (0.31 to 1.94)0.84 (0.33 to 2.15)
Median daily cigarette consumption (IQR)[EMPTY_CELL]10 (6 to 20)1.40 (−0.32 to 3.12)1.43 (−0.30 to 3.16)
Perception on successful abstinence (mean ± SD) d,e[EMPTY_CELL]
Importance[EMPTY_CELL]7.6 ± 1.90.14 (−0.36 to 0.64)0.17 (−0.33 to 0.67)
Confidence[EMPTY_CELL]4.8 ± 2.5−0.05 (−0.56 to 0.47)−0.06 (−0.58 to 0.46)
Difficulties[EMPTY_CELL]7.8 ± 2.00.37 (−0.06 to 0.80)0.40 (−0.03 to 0.84)
\", \"cells\": [{\"cell\": \"Outcomes\", \"bbox\": [38, 11, 82, 21]}, {\"cell\": \"Ever EC Use (n = 528)\", \"bbox\": [137, 5, 227, 14]}, {\"cell\": \"Unstandardized Coefficient b a (95% CI)\", \"bbox\": [258, 3, 424, 14]}, {\"cell\": \"No (%)\", \"bbox\": [133, 21, 164, 30]}, {\"cell\": \"Yes (%)\", \"bbox\": [196, 21, 228, 30]}, {\"cell\": \"Model 1\", \"bbox\": [275, 21, 311, 30]}, {\"cell\": \"Model 2 b\", \"bbox\": [367, 19, 409, 31]}, {\"cell\": \"Readier to quit c\", \"bbox\": [27, 35, 93, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [140, 37, 157, 48]}, {\"cell\": \"24.6\", \"bbox\": [203, 37, 221, 48]}, {\"cell\": \"0.77 (0.31 to 1.94)\", \"bbox\": [258, 37, 328, 48]}, {\"cell\": \"0.84 (0.33 to 2.15)\", \"bbox\": [354, 37, 423, 48]}, {\"cell\": \"Median daily cigarette consumption (IQR)\", \"bbox\": [15, 48, 106, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [126, 54, 171, 65]}, {\"cell\": \"10 (6 to 20)\", \"bbox\": [189, 54, 234, 65]}, {\"cell\": \"1.40 (−0.32 to 3.12)\", \"bbox\": [255, 54, 332, 65]}, {\"cell\": \"1.43 (−0.30 to 3.16)\", \"bbox\": [350, 54, 427, 65]}, {\"cell\": \"Perception on successful abstinence (mean ± SD) d,e\", \"bbox\": [6, 75, 113, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Importance\", \"bbox\": [36, 97, 84, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [130, 97, 167, 108]}, {\"cell\": \"7.6 ± 1.9\", \"bbox\": [194, 97, 230, 108]}, {\"cell\": \"0.14 (−0.36 to 0.64)\", \"bbox\": [255, 97, 332, 108]}, {\"cell\": \"0.17 (−0.33 to 0.67)\", \"bbox\": [350, 97, 427, 108]}, {\"cell\": \"Confidence\", \"bbox\": [37, 108, 84, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [130, 108, 167, 119]}, {\"cell\": \"4.8 ± 2.5\", \"bbox\": [194, 108, 230, 119]}, {\"cell\": \"−0.05 (−0.56 to 0.47)\", \"bbox\": [251, 108, 335, 119]}, {\"cell\": \"−0.06 (−0.58 to 0.46)\", \"bbox\": [347, 108, 431, 119]}, {\"cell\": \"Difficulties\", \"bbox\": [37, 119, 83, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [130, 119, 167, 130]}, {\"cell\": \"7.8 ± 2.0\", \"bbox\": [194, 119, 230, 130]}, {\"cell\": \"0.37 (−0.06 to 0.80)\", \"bbox\": [255, 119, 332, 130]}, {\"cell\": \"0.40 (−0.03 to 0.84)\", \"bbox\": [350, 119, 427, 130]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5876945_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
CriteriaInclusion CriteriaExclusion CriteriaRationale
Population(s)Patients with bladder/urothelial cell, lung, gastric, or ovarian cancer[EMPTY_CELL]Population criteria were designed to reflect cancer populations that are candidates for PD-L1 expression testing
Interventions/ComparatorsDiagnostic tests targeting the PD-1/PD-L1 pathway[EMPTY_CELL]To survey the range of tests currently in use, all PD-L1 tests or studies looking at diagnostics used in PD-1/PD-L1 immunotherapy trials were considered
OutcomesPD-L1 test-validation metrics.Information on PD-L1 test-scoring algorithms or cutoffs was also captured from those studies that reported on test performance[EMPTY_CELL]As the review aimed to evaluate how well different tests performed against validation criteria, studies reporting outcomes relating to validation metrics were prioritized. It was also considered important to capture data relating to the tests’ characteristics (scoring algorithms and test cutoffs) in order to determine the comparability of different tests
TimeIndexed databases: January 1 2010 to September 15, 2016)Grey literature: Three most recent meetings (January 2013 up to November 2016).[EMPTY_CELL]Date limits were applied to reflect the very recent/current nature of this field of research
Study Design• Randomized trials• Observational studies• Diagnostic or clinical validation studies[EMPTY_CELL]Study design criteria reflected the nature of the studies reporting on test-validation metrics of PD-L1 tests for use in human population.
OtherPD-L1 tests required to be commercially available• English language only• Geographic emphasis on the US, EU5, and Japan[EMPTY_CELL]Commercially available tests were prioritized to ensure that review was relevant to current practice. The geographic emphasis reflects the countries in which PD-1/PD-L1 immunotherapies are currently licensed. Most evidence in this field is published in English so language limits were designed to reflect this.
\", \"cells\": [{\"cell\": \"Criteria\", \"bbox\": [1, 4, 23, 13]}, {\"cell\": \"Inclusion Criteria\", \"bbox\": [48, 4, 100, 13]}, {\"cell\": \"Exclusion Criteria\", \"bbox\": [181, 4, 233, 13]}, {\"cell\": \"Rationale\", \"bbox\": [307, 4, 337, 13]}, {\"cell\": \"Population(s)\", \"bbox\": [1, 16, 42, 25]}, {\"cell\": \"Patients with bladder/urothelial cell, lung, gastric, or ovarian cancer\", \"bbox\": [48, 16, 176, 34]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [181, 16, 265, 51]}, {\"cell\": \"Population criteria were designed to reflect cancer populations that are candidates for PD-L1 expression testing\", \"bbox\": [307, 16, 440, 42]}, {\"cell\": \"Interventions/Comparators\", \"bbox\": [1, 55, 44, 73]}, {\"cell\": \"Diagnostic tests targeting the PD-1/PD-L1 pathway\", \"bbox\": [48, 55, 176, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [181, 55, 194, 64]}, {\"cell\": \"To survey the range of tests currently in use, all PD-L1 tests or studies looking at diagnostics used in PD-1/PD-L1 immunotherapy trials were considered\", \"bbox\": [307, 55, 484, 81]}, {\"cell\": \"Outcomes\", \"bbox\": [1, 86, 33, 95]}, {\"cell\": \"PD-L1 test-validation metrics.Information on PD-L1 test-scoring algorithms or cutoffs was also captured from those studies that reported on test performance\", \"bbox\": [48, 86, 153, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [181, 86, 268, 112]}, {\"cell\": \"As the review aimed to evaluate how well different tests performed against validation criteria, studies reporting outcomes relating to validation metrics were prioritized. It was also considered important to capture data relating to the tests’ characteristics (scoring algorithms and test cutoffs) in order to determine the comparability of different tests\", \"bbox\": [307, 86, 484, 146]}, {\"cell\": \"Time\", \"bbox\": [1, 150, 17, 159]}, {\"cell\": \"Indexed databases: January 1 2010 to September 15, 2016)Grey literature: Three most recent meetings (January 2013 up to November 2016).\", \"bbox\": [48, 150, 155, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [181, 150, 286, 168]}, {\"cell\": \"Date limits were applied to reflect the very recent/current nature of this field of research\", \"bbox\": [307, 150, 484, 168]}, {\"cell\": \"Study Design\", \"bbox\": [1, 198, 42, 207]}, {\"cell\": \"• Randomized trials• Observational studies• Diagnostic or clinical validation studies\", \"bbox\": [48, 198, 148, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [181, 198, 231, 224]}, {\"cell\": \"Study design criteria reflected the nature of the studies reporting on test-validation metrics of PD-L1 tests for use in human population.\", \"bbox\": [307, 198, 483, 224]}, {\"cell\": \"Other\", \"bbox\": [1, 237, 20, 246]}, {\"cell\": \"PD-L1 tests required to be commercially available• English language only• Geographic emphasis on the US, EU5, and Japan\", \"bbox\": [48, 237, 142, 280]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [181, 237, 303, 280]}, {\"cell\": \"Commercially available tests were prioritized to ensure that review was relevant to current practice. The geographic emphasis reflects the countries in which PD-1/PD-L1 immunotherapies are currently licensed. Most evidence in this field is published in English so language limits were designed to reflect this.\", \"bbox\": [307, 237, 484, 288]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5807740_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Reducedform No.aBravais latticeCount% Total
1CubicF165[EMPTY_CELL]
2RhombohedralR324[EMPTY_CELL]
3Cubic PP544[EMPTY_CELL]
4RhombohedralR441[EMPTY_CELL]
5CubicI137[EMPTY_CELL]
6TetragonalI123[EMPTY_CELL]
7TetragonalI231[EMPTY_CELL]
8OrthorhombicI28[EMPTY_CELL]
9RhombohedralR281[EMPTY_CELL]
10MonoclinicC/I2151[EMPTY_CELL]
11TetragonalP1499[EMPTY_CELL]
12HexagonalP921[EMPTY_CELL]
13OrthorhombicC737[EMPTY_CELL]
14MonoclinicC/I1277[EMPTY_CELL]
15TetragonalI304[EMPTY_CELL]
16OrthorhombicF265[EMPTY_CELL]
17MonoclinicI/C765[EMPTY_CELL]
18TetragonalI504[EMPTY_CELL]
19OrthorhombicI188[EMPTY_CELL]
20MonoclinicC/I667[EMPTY_CELL]
21TetragonalP1154[EMPTY_CELL]
22HexagonalP801[EMPTY_CELL]
23OrthorhombicC327[EMPTY_CELL]
24RhombohedralR351[EMPTY_CELL]
25MonoclinicC/I398[EMPTY_CELL]
26OrthorhombicF386[EMPTY_CELL]
27MonoclinicI/C2350[EMPTY_CELL]
28MonoclinicC110[EMPTY_CELL]
29MonoclinicC436[EMPTY_CELL]
30MonoclinicC141[EMPTY_CELL]
31TriclinicP13959[EMPTY_CELL]
32OrthorhombicP27154[EMPTY_CELL]
33MonoclinicP15937[EMPTY_CELL]
34MonoclinicP20554[EMPTY_CELL]
35MonoclinicP20048[EMPTY_CELL]
36OrthorhombicC237[EMPTY_CELL]
37MonoclinicC/I1201[EMPTY_CELL]
38OrthorhombicC442[EMPTY_CELL]
39MonoclinicC/I2718[EMPTY_CELL]
40OrthorhombicC232[EMPTY_CELL]
41MonoclinicC/I393[EMPTY_CELL]
42OrthorhombicI136[EMPTY_CELL]
43MonoclinicI138[EMPTY_CELL]
44TriclinicP12458[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Reducedform No.a\", \"bbox\": [1, 7, 35, 26]}, {\"cell\": \"Bravais lattice\", \"bbox\": [57, 7, 106, 16]}, {\"cell\": \"Count\", \"bbox\": [145, 7, 167, 16]}, {\"cell\": \"% Total\", \"bbox\": [196, 7, 224, 16]}, {\"cell\": \"1\", \"bbox\": [4, 37, 10, 46]}, {\"cell\": \"Cubic\", \"bbox\": [49, 37, 70, 46]}, {\"cell\": \"F\", \"bbox\": [105, 37, 111, 46]}, {\"cell\": \"165\", \"bbox\": [153, 37, 167, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 37, 215, 46]}, {\"cell\": \"2\", \"bbox\": [4, 47, 10, 56]}, {\"cell\": \"Rhombohedral\", \"bbox\": [49, 47, 99, 56]}, {\"cell\": \"R\", \"bbox\": [105, 47, 112, 56]}, {\"cell\": \"324\", \"bbox\": [153, 47, 167, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 47, 215, 56]}, {\"cell\": \"3\", \"bbox\": [4, 57, 10, 66]}, {\"cell\": \"Cubic P\", \"bbox\": [49, 57, 77, 66]}, {\"cell\": \"P\", \"bbox\": [105, 57, 111, 66]}, {\"cell\": \"544\", \"bbox\": [153, 57, 167, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 57, 215, 66]}, {\"cell\": \"4\", \"bbox\": [4, 67, 10, 76]}, {\"cell\": \"Rhombohedral\", \"bbox\": [49, 67, 99, 76]}, {\"cell\": \"R\", \"bbox\": [105, 67, 112, 76]}, {\"cell\": \"441\", \"bbox\": [153, 67, 167, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 67, 215, 76]}, {\"cell\": \"5\", \"bbox\": [4, 77, 10, 86]}, {\"cell\": \"Cubic\", \"bbox\": [49, 77, 70, 86]}, {\"cell\": \"I\", \"bbox\": [105, 77, 109, 86]}, {\"cell\": \"137\", \"bbox\": [153, 77, 167, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 77, 215, 86]}, {\"cell\": \"6\", \"bbox\": [4, 87, 10, 96]}, {\"cell\": \"Tetragonal\", \"bbox\": [49, 87, 86, 96]}, {\"cell\": \"I\", \"bbox\": [105, 87, 109, 96]}, {\"cell\": \"123\", \"bbox\": [153, 87, 167, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 87, 215, 96]}, {\"cell\": \"7\", \"bbox\": [4, 97, 10, 106]}, {\"cell\": \"Tetragonal\", \"bbox\": [49, 97, 86, 106]}, {\"cell\": \"I\", \"bbox\": [105, 97, 109, 106]}, {\"cell\": \"231\", \"bbox\": [153, 97, 167, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 97, 215, 106]}, {\"cell\": \"8\", \"bbox\": [4, 107, 10, 116]}, {\"cell\": \"Orthorhombic\", \"bbox\": [49, 107, 97, 116]}, {\"cell\": \"I\", \"bbox\": [105, 107, 109, 116]}, {\"cell\": \"28\", \"bbox\": [157, 107, 167, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 107, 215, 116]}, {\"cell\": \"9\", \"bbox\": [4, 117, 10, 126]}, {\"cell\": \"Rhombohedral\", \"bbox\": [49, 117, 99, 126]}, {\"cell\": \"R\", \"bbox\": [105, 117, 112, 126]}, {\"cell\": \"281\", \"bbox\": [153, 117, 167, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 117, 215, 126]}, {\"cell\": \"10\", \"bbox\": [1, 127, 10, 136]}, {\"cell\": \"Monoclinic\", \"bbox\": [49, 127, 88, 136]}, {\"cell\": \"C/I\", \"bbox\": [105, 127, 117, 136]}, {\"cell\": \"2151\", \"bbox\": [149, 127, 167, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 127, 215, 136]}, {\"cell\": \"11\", \"bbox\": [1, 137, 10, 146]}, {\"cell\": \"Tetragonal\", \"bbox\": [49, 137, 86, 146]}, {\"cell\": \"P\", \"bbox\": [105, 137, 111, 146]}, {\"cell\": \"1499\", \"bbox\": [149, 137, 167, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 137, 215, 146]}, {\"cell\": \"12\", \"bbox\": [1, 146, 10, 156]}, {\"cell\": \"Hexagonal\", \"bbox\": [49, 146, 86, 156]}, {\"cell\": \"P\", \"bbox\": [105, 146, 111, 156]}, {\"cell\": \"921\", \"bbox\": [153, 146, 167, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 146, 215, 156]}, {\"cell\": \"13\", \"bbox\": [1, 156, 10, 166]}, {\"cell\": \"Orthorhombic\", \"bbox\": [49, 156, 97, 166]}, {\"cell\": \"C\", \"bbox\": [105, 156, 112, 166]}, {\"cell\": \"737\", \"bbox\": [153, 156, 167, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 156, 215, 166]}, {\"cell\": \"14\", \"bbox\": [1, 166, 10, 176]}, {\"cell\": \"Monoclinic\", \"bbox\": [49, 166, 88, 176]}, {\"cell\": \"C/I\", \"bbox\": [105, 166, 117, 176]}, {\"cell\": \"1277\", \"bbox\": [149, 166, 167, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 166, 215, 176]}, {\"cell\": \"15\", \"bbox\": [1, 176, 10, 186]}, {\"cell\": \"Tetragonal\", \"bbox\": [49, 176, 86, 186]}, {\"cell\": \"I\", \"bbox\": [105, 176, 109, 186]}, {\"cell\": \"304\", \"bbox\": [153, 176, 167, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 176, 215, 186]}, {\"cell\": \"16\", \"bbox\": [1, 186, 10, 196]}, {\"cell\": \"Orthorhombic\", \"bbox\": [49, 186, 97, 196]}, {\"cell\": \"F\", \"bbox\": [105, 186, 111, 196]}, {\"cell\": \"265\", \"bbox\": [153, 186, 167, 196]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 186, 215, 196]}, {\"cell\": \"17\", \"bbox\": [1, 196, 10, 205]}, {\"cell\": \"Monoclinic\", \"bbox\": [49, 196, 88, 205]}, {\"cell\": \"I/C\", \"bbox\": [105, 196, 117, 205]}, {\"cell\": \"765\", \"bbox\": [153, 196, 167, 205]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 196, 215, 205]}, {\"cell\": \"18\", \"bbox\": [1, 206, 10, 215]}, {\"cell\": \"Tetragonal\", \"bbox\": [49, 206, 86, 215]}, {\"cell\": \"I\", \"bbox\": [105, 206, 109, 215]}, {\"cell\": \"504\", \"bbox\": [153, 206, 167, 215]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 206, 215, 215]}, {\"cell\": \"19\", \"bbox\": [1, 216, 10, 225]}, {\"cell\": \"Orthorhombic\", \"bbox\": [49, 216, 97, 225]}, {\"cell\": \"I\", \"bbox\": [105, 216, 109, 225]}, {\"cell\": \"188\", \"bbox\": [153, 216, 167, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 216, 215, 225]}, {\"cell\": \"20\", \"bbox\": [1, 226, 10, 235]}, {\"cell\": \"Monoclinic\", \"bbox\": [49, 226, 88, 235]}, {\"cell\": \"C/I\", \"bbox\": [105, 226, 117, 235]}, {\"cell\": \"667\", \"bbox\": [153, 226, 167, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 226, 215, 235]}, {\"cell\": \"21\", \"bbox\": [1, 236, 10, 245]}, {\"cell\": \"Tetragonal\", \"bbox\": [49, 236, 86, 245]}, {\"cell\": \"P\", \"bbox\": [105, 236, 111, 245]}, {\"cell\": \"1154\", \"bbox\": [149, 236, 167, 245]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 236, 215, 245]}, {\"cell\": \"22\", \"bbox\": [1, 246, 10, 255]}, {\"cell\": \"Hexagonal\", \"bbox\": [49, 246, 86, 255]}, {\"cell\": \"P\", \"bbox\": [105, 246, 111, 255]}, {\"cell\": \"801\", \"bbox\": [153, 246, 167, 255]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 246, 215, 255]}, {\"cell\": \"23\", \"bbox\": [1, 256, 10, 265]}, {\"cell\": \"Orthorhombic\", \"bbox\": [49, 256, 97, 265]}, {\"cell\": \"C\", \"bbox\": [105, 256, 112, 265]}, {\"cell\": \"327\", \"bbox\": [153, 256, 167, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 256, 215, 265]}, {\"cell\": \"24\", \"bbox\": [1, 266, 10, 275]}, {\"cell\": \"Rhombohedral\", \"bbox\": [49, 266, 99, 275]}, {\"cell\": \"R\", \"bbox\": [105, 266, 112, 275]}, {\"cell\": \"351\", \"bbox\": [153, 266, 167, 275]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 266, 215, 275]}, {\"cell\": \"25\", \"bbox\": [1, 276, 10, 285]}, {\"cell\": \"Monoclinic\", \"bbox\": [49, 276, 88, 285]}, {\"cell\": \"C/I\", \"bbox\": [105, 276, 117, 285]}, {\"cell\": \"398\", \"bbox\": [153, 276, 167, 285]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 276, 215, 285]}, {\"cell\": \"26\", \"bbox\": [1, 286, 10, 295]}, {\"cell\": \"Orthorhombic\", \"bbox\": [49, 286, 97, 295]}, {\"cell\": \"F\", \"bbox\": [105, 286, 111, 295]}, {\"cell\": \"386\", \"bbox\": [153, 286, 167, 295]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 286, 215, 295]}, {\"cell\": \"27\", \"bbox\": [1, 296, 10, 305]}, {\"cell\": \"Monoclinic\", \"bbox\": [49, 296, 88, 305]}, {\"cell\": \"I/C\", \"bbox\": [105, 296, 117, 305]}, {\"cell\": \"2350\", \"bbox\": [149, 296, 167, 305]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 296, 215, 305]}, {\"cell\": \"28\", \"bbox\": [1, 306, 10, 315]}, {\"cell\": \"Monoclinic\", \"bbox\": [49, 306, 88, 315]}, {\"cell\": \"C\", \"bbox\": [105, 306, 112, 315]}, {\"cell\": \"110\", \"bbox\": [153, 306, 167, 315]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 306, 215, 315]}, {\"cell\": \"29\", \"bbox\": [1, 316, 10, 325]}, {\"cell\": \"Monoclinic\", \"bbox\": [49, 316, 88, 325]}, {\"cell\": \"C\", \"bbox\": [105, 316, 112, 325]}, {\"cell\": \"436\", \"bbox\": [153, 316, 167, 325]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 316, 215, 325]}, {\"cell\": \"30\", \"bbox\": [1, 326, 10, 335]}, {\"cell\": \"Monoclinic\", \"bbox\": [49, 326, 88, 335]}, {\"cell\": \"C\", \"bbox\": [105, 326, 112, 335]}, {\"cell\": \"141\", \"bbox\": [153, 326, 167, 335]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 326, 215, 335]}, {\"cell\": \"31\", \"bbox\": [1, 336, 10, 345]}, {\"cell\": \"Triclinic\", \"bbox\": [49, 336, 79, 345]}, {\"cell\": \"P\", \"bbox\": [105, 336, 111, 345]}, {\"cell\": \"13959\", \"bbox\": [145, 336, 167, 345]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 336, 215, 345]}, {\"cell\": \"32\", \"bbox\": [1, 346, 10, 355]}, {\"cell\": \"Orthorhombic\", \"bbox\": [49, 346, 97, 355]}, {\"cell\": \"P\", \"bbox\": [105, 346, 111, 355]}, {\"cell\": \"27154\", \"bbox\": [145, 346, 167, 355]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 346, 215, 355]}, {\"cell\": \"33\", \"bbox\": [1, 356, 10, 365]}, {\"cell\": \"Monoclinic\", \"bbox\": [49, 356, 88, 365]}, {\"cell\": \"P\", \"bbox\": [105, 356, 111, 365]}, {\"cell\": \"15937\", \"bbox\": [145, 356, 167, 365]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 356, 215, 365]}, {\"cell\": \"34\", \"bbox\": [1, 366, 10, 375]}, {\"cell\": \"Monoclinic\", \"bbox\": [49, 366, 88, 375]}, {\"cell\": \"P\", \"bbox\": [105, 366, 111, 375]}, {\"cell\": \"20554\", \"bbox\": [145, 366, 167, 375]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 366, 215, 375]}, {\"cell\": \"35\", \"bbox\": [1, 376, 10, 385]}, {\"cell\": \"Monoclinic\", \"bbox\": [49, 376, 88, 385]}, {\"cell\": \"P\", \"bbox\": [105, 376, 111, 385]}, {\"cell\": \"20048\", \"bbox\": [145, 376, 167, 385]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 376, 215, 385]}, {\"cell\": \"36\", \"bbox\": [1, 386, 10, 395]}, {\"cell\": \"Orthorhombic\", \"bbox\": [49, 386, 97, 395]}, {\"cell\": \"C\", \"bbox\": [105, 386, 112, 395]}, {\"cell\": \"237\", \"bbox\": [153, 386, 167, 395]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 386, 215, 395]}, {\"cell\": \"37\", \"bbox\": [1, 395, 10, 405]}, {\"cell\": \"Monoclinic\", \"bbox\": [49, 395, 88, 405]}, {\"cell\": \"C/I\", \"bbox\": [105, 395, 117, 405]}, {\"cell\": \"1201\", \"bbox\": [149, 395, 167, 405]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 395, 215, 405]}, {\"cell\": \"38\", \"bbox\": [1, 405, 10, 415]}, {\"cell\": \"Orthorhombic\", \"bbox\": [49, 405, 97, 415]}, {\"cell\": \"C\", \"bbox\": [105, 405, 112, 415]}, {\"cell\": \"442\", \"bbox\": [153, 405, 167, 415]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 405, 215, 415]}, {\"cell\": \"39\", \"bbox\": [1, 415, 10, 425]}, {\"cell\": \"Monoclinic\", \"bbox\": [49, 415, 88, 425]}, {\"cell\": \"C/I\", \"bbox\": [105, 415, 117, 425]}, {\"cell\": \"2718\", \"bbox\": [149, 415, 167, 425]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 415, 215, 425]}, {\"cell\": \"40\", \"bbox\": [1, 425, 10, 435]}, {\"cell\": \"Orthorhombic\", \"bbox\": [49, 425, 97, 435]}, {\"cell\": \"C\", \"bbox\": [105, 425, 112, 435]}, {\"cell\": \"232\", \"bbox\": [153, 425, 167, 435]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 425, 215, 435]}, {\"cell\": \"41\", \"bbox\": [1, 435, 10, 445]}, {\"cell\": \"Monoclinic\", \"bbox\": [49, 435, 88, 445]}, {\"cell\": \"C/I\", \"bbox\": [105, 435, 117, 445]}, {\"cell\": \"393\", \"bbox\": [153, 435, 167, 445]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 435, 215, 445]}, {\"cell\": \"42\", \"bbox\": [1, 445, 10, 454]}, {\"cell\": \"Orthorhombic\", \"bbox\": [49, 445, 97, 454]}, {\"cell\": \"I\", \"bbox\": [105, 445, 109, 454]}, {\"cell\": \"136\", \"bbox\": [153, 445, 167, 454]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 445, 215, 454]}, {\"cell\": \"43\", \"bbox\": [1, 455, 10, 464]}, {\"cell\": \"Monoclinic\", \"bbox\": [49, 455, 88, 464]}, {\"cell\": \"I\", \"bbox\": [105, 455, 109, 464]}, {\"cell\": \"138\", \"bbox\": [153, 455, 167, 464]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 455, 215, 464]}, {\"cell\": \"44\", \"bbox\": [1, 465, 10, 474]}, {\"cell\": \"Triclinic\", \"bbox\": [49, 465, 79, 474]}, {\"cell\": \"P\", \"bbox\": [105, 465, 111, 474]}, {\"cell\": \"12458\", \"bbox\": [145, 465, 167, 474]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 465, 215, 474]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4865301_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
DataTest performed
Weight and temperature, progression of deficits in challenging beam[EMPTY_CELL]
Total tau/p-tau levels, challenging beam (averaged for five trials), open field (total 15-min session), density of IBA-1-positive cells[EMPTY_CELL]
Challenging beam (individual trials), open field habituation (measured by comparing activity in separate 5-min blocks)[EMPTY_CELL]
Surface area of aggregates in subregions of substantia nigra[EMPTY_CELL]
Latency to find buried pellet, time to turn/descend in pole, qualitative score of aggregates in olfactory bulb[EMPTY_CELL]
% of performers in olfaction test and in pole test[EMPTY_CELL]
Distribution analysis of microglial cell diameter[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Data\", \"bbox\": [1, 6, 17, 15]}, {\"cell\": \"Test performed\", \"bbox\": [231, 6, 281, 15]}, {\"cell\": \"Weight and temperature, progression of deficits in challenging beam\", \"bbox\": [1, 23, 166, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [231, 23, 452, 54]}, {\"cell\": \"Total tau/p-tau levels, challenging beam (averaged for five trials), open field (total 15-min session), density of IBA-1-positive cells\", \"bbox\": [1, 55, 211, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [231, 55, 437, 74]}, {\"cell\": \"Challenging beam (individual trials), open field habituation (measured by comparing activity in separate 5-min blocks)\", \"bbox\": [1, 76, 193, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [231, 76, 475, 95]}, {\"cell\": \"Surface area of aggregates in subregions of substantia nigra\", \"bbox\": [1, 97, 197, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [231, 97, 456, 116]}, {\"cell\": \"Latency to find buried pellet, time to turn/descend in pole, qualitative score of aggregates in olfactory bulb\", \"bbox\": [1, 117, 191, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [231, 117, 472, 127]}, {\"cell\": \"% of performers in olfaction test and in pole test\", \"bbox\": [1, 138, 162, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [231, 138, 458, 148]}, {\"cell\": \"Distribution analysis of microglial cell diameter\", \"bbox\": [1, 149, 151, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [231, 149, 277, 158]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4186425_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL][EMPTY_CELL]Histological diagnosis specimen (n = 19/34)Last available histological specimen (n = 14/34)
Age[EMPTY_CELL]30 months7.3 years
median (IQR)[EMPTY_CELL](5.3 months -10.3 years)(6 years – 13.9 years)
Mode: n (%)[EMPTY_CELL]16 (84)1 (7)
[EMPTY_CELL][EMPTY_CELL]1 (5)9 (65)
[EMPTY_CELL][EMPTY_CELL]2 (11)2 (14)
[EMPTY_CELL][EMPTY_CELL]0 (0)2 (14)
Results: n (%)[EMPTY_CELL]19 (100)13 (93)
[EMPTY_CELL][EMPTY_CELL]7 (37)6 (43)
[EMPTY_CELL][EMPTY_CELL]3 (16)5 (35)
[EMPTY_CELL][EMPTY_CELL]9 (47)2 (14)
[EMPTY_CELL][EMPTY_CELL]8 (42)8 (57)
[EMPTY_CELL][EMPTY_CELL]0 (0)1 (13)
[EMPTY_CELL][EMPTY_CELL]2 (25)5 (62)
[EMPTY_CELL][EMPTY_CELL]6 (75)2 (25)
[EMPTY_CELL][EMPTY_CELL]14 (73)14 (100)
[EMPTY_CELL][EMPTY_CELL]5 (36)5 (36)
[EMPTY_CELL][EMPTY_CELL]3 (21)4 (28)
[EMPTY_CELL][EMPTY_CELL]6 (43)5 (36)
[EMPTY_CELL][EMPTY_CELL]8 (42)10 (71)
[EMPTY_CELL][EMPTY_CELL]1 (13)1 (10)
[EMPTY_CELL][EMPTY_CELL]2 (25)3 (30)
[EMPTY_CELL][EMPTY_CELL]5 (62)6 (60)
[EMPTY_CELL][EMPTY_CELL]16 (84)13 (93)
[EMPTY_CELL][EMPTY_CELL]9 (56)9 (69)
[EMPTY_CELL][EMPTY_CELL]4 (25)3 (23)
[EMPTY_CELL][EMPTY_CELL]3 (19)1 (8)
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Histological diagnosis specimen (n = 19/34)\", \"bbox\": [222, 4, 335, 22]}, {\"cell\": \"Last available histological specimen (n = 14/34)\", \"bbox\": [393, 4, 484, 22]}, {\"cell\": \"Age\", \"bbox\": [1, 26, 16, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"30 months\", \"bbox\": [259, 26, 298, 36]}, {\"cell\": \"7.3 years\", \"bbox\": [422, 26, 455, 36]}, {\"cell\": \"median (IQR)\", \"bbox\": [1, 39, 48, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"(5.3 months -10.3 years)\", \"bbox\": [234, 39, 322, 49]}, {\"cell\": \"(6 years – 13.9 years)\", \"bbox\": [401, 39, 477, 49]}, {\"cell\": \"Mode: n (%)\", \"bbox\": [1, 52, 41, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 52, 121, 62]}, {\"cell\": \"16 (84)\", \"bbox\": [266, 52, 290, 62]}, {\"cell\": \"1 (7)\", \"bbox\": [431, 52, 447, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 66, 120, 76]}, {\"cell\": \"1 (5)\", \"bbox\": [270, 66, 286, 76]}, {\"cell\": \"9 (65)\", \"bbox\": [429, 66, 449, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 80, 135, 90]}, {\"cell\": \"2 (11)\", \"bbox\": [268, 80, 288, 90]}, {\"cell\": \"2 (14)\", \"bbox\": [429, 80, 449, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 94, 145, 104]}, {\"cell\": \"0 (0)\", \"bbox\": [270, 94, 286, 104]}, {\"cell\": \"2 (14)\", \"bbox\": [429, 94, 449, 104]}, {\"cell\": \"Results: n (%)\", \"bbox\": [1, 108, 45, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 108, 121, 118]}, {\"cell\": \"19 (100)\", \"bbox\": [264, 108, 292, 118]}, {\"cell\": \"13 (93)\", \"bbox\": [427, 108, 451, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 122, 113, 132]}, {\"cell\": \"7 (37)\", \"bbox\": [268, 122, 288, 132]}, {\"cell\": \"6 (43)\", \"bbox\": [429, 122, 449, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 136, 118, 146]}, {\"cell\": \"3 (16)\", \"bbox\": [268, 136, 288, 146]}, {\"cell\": \"5 (35)\", \"bbox\": [429, 136, 449, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 150, 123, 160]}, {\"cell\": \"9 (47)\", \"bbox\": [268, 150, 288, 160]}, {\"cell\": \"2 (14)\", \"bbox\": [429, 150, 449, 160]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 164, 123, 174]}, {\"cell\": \"8 (42)\", \"bbox\": [268, 164, 288, 174]}, {\"cell\": \"8 (57)\", \"bbox\": [429, 164, 449, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 178, 113, 188]}, {\"cell\": \"0 (0)\", \"bbox\": [270, 178, 286, 188]}, {\"cell\": \"1 (13)\", \"bbox\": [429, 178, 449, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 192, 118, 202]}, {\"cell\": \"2 (25)\", \"bbox\": [268, 192, 288, 202]}, {\"cell\": \"5 (62)\", \"bbox\": [429, 192, 449, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 206, 123, 216]}, {\"cell\": \"6 (75)\", \"bbox\": [268, 206, 288, 216]}, {\"cell\": \"2 (25)\", \"bbox\": [429, 206, 449, 216]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 220, 163, 230]}, {\"cell\": \"14 (73)\", \"bbox\": [266, 220, 290, 230]}, {\"cell\": \"14 (100)\", \"bbox\": [425, 220, 453, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 234, 113, 244]}, {\"cell\": \"5 (36)\", \"bbox\": [268, 234, 288, 244]}, {\"cell\": \"5 (36)\", \"bbox\": [429, 234, 449, 244]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 248, 118, 258]}, {\"cell\": \"3 (21)\", \"bbox\": [268, 248, 288, 258]}, {\"cell\": \"4 (28)\", \"bbox\": [429, 248, 449, 258]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 262, 123, 272]}, {\"cell\": \"6 (43)\", \"bbox\": [268, 262, 288, 272]}, {\"cell\": \"5 (36)\", \"bbox\": [429, 262, 449, 272]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 276, 132, 286]}, {\"cell\": \"8 (42)\", \"bbox\": [268, 276, 288, 286]}, {\"cell\": \"10 (71)\", \"bbox\": [427, 276, 451, 286]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 290, 113, 300]}, {\"cell\": \"1 (13)\", \"bbox\": [268, 290, 288, 300]}, {\"cell\": \"1 (10)\", \"bbox\": [429, 290, 449, 300]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 304, 118, 314]}, {\"cell\": \"2 (25)\", \"bbox\": [268, 304, 288, 314]}, {\"cell\": \"3 (30)\", \"bbox\": [429, 304, 449, 314]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 318, 123, 328]}, {\"cell\": \"5 (62)\", \"bbox\": [268, 318, 288, 328]}, {\"cell\": \"6 (60)\", \"bbox\": [429, 318, 449, 328]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 332, 151, 342]}, {\"cell\": \"16 (84)\", \"bbox\": [266, 332, 290, 342]}, {\"cell\": \"13 (93)\", \"bbox\": [427, 332, 451, 342]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 346, 113, 356]}, {\"cell\": \"9 (56)\", \"bbox\": [268, 346, 288, 356]}, {\"cell\": \"9 (69)\", \"bbox\": [429, 346, 449, 356]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 360, 118, 370]}, {\"cell\": \"4 (25)\", \"bbox\": [268, 360, 288, 370]}, {\"cell\": \"3 (23)\", \"bbox\": [429, 360, 449, 370]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 374, 123, 384]}, {\"cell\": \"3 (19)\", \"bbox\": [268, 374, 288, 384]}, {\"cell\": \"1 (8)\", \"bbox\": [431, 374, 447, 384]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4062771_004_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Services (N)Inappropriatemeasurements%†The time in days between two consecutive measurements
Coronary CU (1971)[EMPTY_CELL]1 (1-1)
Cardiology (5279)[EMPTY_CELL]1 (1-2)
ICU-Internal diseases (1102)[EMPTY_CELL]1 (1-2)
CVS (435)[EMPTY_CELL]1 (1-2)
Anesthesia ICU (488)[EMPTY_CELL]3 (3-4)
Other (2132)[EMPTY_CELL]1 (1-3)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Data are presented as median and interquartile range. ICU - Intensive Care Unit. Coronary CU - Coronary Care Unit.CVS - Cardio-Vascular Surgery. Other services - a total of 34 services including chest diseases, ICU of cardiothoracicsurgery, orthopedics and traumatology, gastroenterology. *chi-square test. N - number of serum digoxin measurements after the first measurement. †Percent of rows.
\", \"cells\": [{\"cell\": \"Services (N)\", \"bbox\": [20, 21, 69, 32]}, {\"cell\": \"Inappropriatemeasurements%†\", \"bbox\": [91, 11, 154, 42]}, {\"cell\": \"The time in days between two consecutive measurements\", \"bbox\": [165, 5, 232, 48]}, {\"cell\": \"Coronary CU (1971)\", \"bbox\": [8, 53, 82, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [117, 53, 128, 63]}, {\"cell\": \"1 (1-1)\", \"bbox\": [186, 53, 210, 63]}, {\"cell\": \"Cardiology (5279)\", \"bbox\": [11, 68, 79, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [117, 68, 128, 78]}, {\"cell\": \"1 (1-2)\", \"bbox\": [186, 68, 211, 78]}, {\"cell\": \"ICU-Internal diseases (1102)\", \"bbox\": [4, 83, 85, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [117, 83, 128, 94]}, {\"cell\": \"1 (1-2)\", \"bbox\": [186, 83, 211, 94]}, {\"cell\": \"CVS (435)\", \"bbox\": [26, 109, 63, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [117, 109, 128, 120]}, {\"cell\": \"1 (1-2)\", \"bbox\": [186, 109, 211, 120]}, {\"cell\": \"Anesthesia ICU (488)\", \"bbox\": [5, 124, 84, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [117, 124, 128, 135]}, {\"cell\": \"3 (3-4)\", \"bbox\": [186, 124, 211, 135]}, {\"cell\": \"Other (2132)\", \"bbox\": [21, 140, 69, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [117, 140, 128, 150]}, {\"cell\": \"1 (1-3)\", \"bbox\": [186, 140, 211, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 155, 142, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Data are presented as median and interquartile range. ICU - Intensive Care Unit. Coronary CU - Coronary Care Unit.CVS - Cardio-Vascular Surgery. Other services - a total of 34 services including chest diseases, ICU of cardiothoracicsurgery, orthopedics and traumatology, gastroenterology. *chi-square test. N - number of serum digoxin measurements after the first measurement. †Percent of rows.\", \"bbox\": [3, 170, 235, 246]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5701777_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Gene nameaMle scaffold or accession numberPfam domainsE valuebHuman hitb
WntAHM448813Wnt[EMPTY_CELL]NP_110388.2: Wnt4
Wnt6HM448814Wnt[EMPTY_CELL]NP_006513.1: Wnt6
Wnt9HM448815Wnt[EMPTY_CELL]CAA96283.1: Wnt13
WntXHM448816Wnt[EMPTY_CELL]NP_110388.2: Wnt4
β-cateninHM448817ARM(12)[EMPTY_CELL]BAG70078.1: Beta-catenin
Dishevelled (Dsh)HM448818DIX, PDZ, DEP[EMPTY_CELL]AAB65244.1: DSH3
FrizzledAHM448819Fz, Fri 7TM[EMPTY_CELL]NP_003498.1: Frizzled7
FrizzledBHM448820Fz, Fri 7TM[EMPTY_CELL]NP_003498.1: Frizzled7
SfrpcHM448821Fz[EMPTY_CELL]AAD41636.1: Frizzled1
TCFdHM448822HMG[EMPTY_CELL]CAB97214: TCF4
PygopusHM448823PHD zinc finger[EMPTY_CELL]CAB43209.1: Pygo2
ChibbyHM448824[EMPTY_CELL][EMPTY_CELL]CAQ07904.1: Chibby1
PorcupineHM448825Transmembrane[EMPTY_CELL]NP_073736.2: Porc isoA
DIXDeHM448826DIX[EMPTY_CELL]AAH41626.2: DIXDC1
LRP5/6fc600800006.Contig20EGF(2), LY, EGF, LY(4), EGF[EMPTY_CELL]BA3305.1: LRP5
GSK-3gc606000111.Contig2Ser/Thr kinase[EMPTY_CELL]NP_001139628.1: GSK-3 beta
APChc408602200.Contig1ARM(2)[EMPTY_CELL]AAF01784.1: APC2
CK1ic608300381.Contig1Ser/Thr kinase[EMPTY_CELL]EAW61775.1: CK1
[EMPTY_CELL]c607500101.Contig1Ser/Thr kinase[EMPTY_CELL]CAA56710.1: CK1
Tankyrasec606800096.Contig3ANK(10), SAM, PARP, C2[EMPTY_CELL]NP_003738.2: Tankyrase-1
CBPjc601400002.Contig7ZnF, KIX, BROMO, DUF906, ZnF[EMPTY_CELL]AAC51770.1: CREB-binding protein
Groucho/TLEkc601900005.Contig5b20WD40(6), LDLa(3), transmembrane[EMPTY_CELL]AAH43247.1: TLE3
Wntless/evic607300052.Contig1transmembrane[EMPTY_CELL]BAC11072.1: wntless
Lzic/Icatc606200080.Contig2[EMPTY_CELL][EMPTY_CELL]NP_115774: LZIC
\", \"cells\": [{\"cell\": \"Gene namea\", \"bbox\": [1, 2, 45, 13]}, {\"cell\": \"Mle scaffold or accession number\", \"bbox\": [69, 4, 189, 13]}, {\"cell\": \"Pfam domains\", \"bbox\": [200, 4, 252, 13]}, {\"cell\": \"E valueb\", \"bbox\": [322, 2, 353, 13]}, {\"cell\": \"Human hitb\", \"bbox\": [364, 2, 407, 13]}, {\"cell\": \"WntA\", \"bbox\": [1, 17, 20, 27]}, {\"cell\": \"HM448813\", \"bbox\": [69, 17, 105, 27]}, {\"cell\": \"Wnt\", \"bbox\": [200, 17, 215, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 16, 340, 27]}, {\"cell\": \"NP_110388.2: Wnt4\", \"bbox\": [364, 17, 428, 27]}, {\"cell\": \"Wnt6\", \"bbox\": [0, 30, 19, 40]}, {\"cell\": \"HM448814\", \"bbox\": [69, 30, 105, 40]}, {\"cell\": \"Wnt\", \"bbox\": [200, 30, 215, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 29, 340, 40]}, {\"cell\": \"NP_006513.1: Wnt6\", \"bbox\": [364, 30, 428, 40]}, {\"cell\": \"Wnt9\", \"bbox\": [0, 44, 19, 53]}, {\"cell\": \"HM448815\", \"bbox\": [69, 44, 105, 53]}, {\"cell\": \"Wnt\", \"bbox\": [200, 44, 215, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 42, 340, 53]}, {\"cell\": \"CAA96283.1: Wnt13\", \"bbox\": [364, 44, 429, 53]}, {\"cell\": \"WntX\", \"bbox\": [0, 57, 20, 66]}, {\"cell\": \"HM448816\", \"bbox\": [69, 57, 105, 66]}, {\"cell\": \"Wnt\", \"bbox\": [200, 57, 215, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 55, 340, 66]}, {\"cell\": \"NP_110388.2: Wnt4\", \"bbox\": [364, 57, 428, 66]}, {\"cell\": \"β-catenin\", \"bbox\": [0, 70, 33, 79]}, {\"cell\": \"HM448817\", \"bbox\": [69, 70, 105, 79]}, {\"cell\": \"ARM(12)\", \"bbox\": [200, 70, 228, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 68, 342, 79]}, {\"cell\": \"BAG70078.1: Beta-catenin\", \"bbox\": [364, 70, 448, 79]}, {\"cell\": \"Dishevelled (Dsh)\", \"bbox\": [0, 83, 58, 93]}, {\"cell\": \"HM448818\", \"bbox\": [69, 83, 105, 93]}, {\"cell\": \"DIX, PDZ, DEP\", \"bbox\": [200, 83, 247, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 82, 340, 93]}, {\"cell\": \"AAB65244.1: DSH3\", \"bbox\": [364, 83, 426, 93]}, {\"cell\": \"FrizzledA\", \"bbox\": [0, 96, 31, 106]}, {\"cell\": \"HM448819\", \"bbox\": [69, 96, 105, 106]}, {\"cell\": \"Fz, Fri 7TM\", \"bbox\": [200, 96, 237, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 95, 340, 106]}, {\"cell\": \"NP_003498.1: Frizzled7\", \"bbox\": [364, 96, 439, 106]}, {\"cell\": \"FrizzledB\", \"bbox\": [0, 110, 30, 119]}, {\"cell\": \"HM448820\", \"bbox\": [69, 110, 105, 119]}, {\"cell\": \"Fz, Fri 7TM\", \"bbox\": [200, 110, 237, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 108, 340, 119]}, {\"cell\": \"NP_003498.1: Frizzled7\", \"bbox\": [364, 110, 439, 119]}, {\"cell\": \"Sfrpc\", \"bbox\": [0, 121, 17, 132]}, {\"cell\": \"HM448821\", \"bbox\": [69, 123, 105, 132]}, {\"cell\": \"Fz\", \"bbox\": [200, 123, 209, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 121, 340, 132]}, {\"cell\": \"AAD41636.1: Frizzled1\", \"bbox\": [364, 123, 437, 132]}, {\"cell\": \"TCFd\", \"bbox\": [0, 134, 17, 145]}, {\"cell\": \"HM448822\", \"bbox\": [69, 136, 105, 145]}, {\"cell\": \"HMG\", \"bbox\": [200, 136, 218, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 134, 340, 145]}, {\"cell\": \"CAB97214: TCF4\", \"bbox\": [364, 136, 418, 145]}, {\"cell\": \"Pygopus\", \"bbox\": [0, 149, 30, 159]}, {\"cell\": \"HM448823\", \"bbox\": [69, 149, 105, 159]}, {\"cell\": \"PHD zinc finger\", \"bbox\": [200, 149, 252, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 148, 340, 159]}, {\"cell\": \"CAB43209.1: Pygo2\", \"bbox\": [364, 149, 428, 159]}, {\"cell\": \"Chibby\", \"bbox\": [0, 162, 25, 172]}, {\"cell\": \"HM448824\", \"bbox\": [69, 162, 105, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 161, 337, 172]}, {\"cell\": \"CAQ07904.1: Chibby1\", \"bbox\": [364, 162, 435, 172]}, {\"cell\": \"Porcupine\", \"bbox\": [0, 176, 35, 185]}, {\"cell\": \"HM448825\", \"bbox\": [69, 176, 105, 185]}, {\"cell\": \"Transmembrane\", \"bbox\": [200, 176, 254, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 174, 340, 185]}, {\"cell\": \"NP_073736.2: Porc isoA\", \"bbox\": [364, 176, 442, 185]}, {\"cell\": \"DIXDe\", \"bbox\": [0, 187, 22, 198]}, {\"cell\": \"HM448826\", \"bbox\": [69, 189, 105, 198]}, {\"cell\": \"DIX\", \"bbox\": [200, 189, 213, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 187, 340, 198]}, {\"cell\": \"AAH41626.2: DIXDC1\", \"bbox\": [364, 189, 433, 198]}, {\"cell\": \"LRP5/6f\", \"bbox\": [0, 200, 26, 211]}, {\"cell\": \"c600800006.Contig20\", \"bbox\": [69, 202, 146, 211]}, {\"cell\": \"EGF(2), LY, EGF, LY(4), EGF\", \"bbox\": [200, 202, 285, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 200, 340, 211]}, {\"cell\": \"BA3305.1: LRP5\", \"bbox\": [364, 202, 415, 211]}, {\"cell\": \"GSK-3g\", \"bbox\": [0, 214, 24, 225]}, {\"cell\": \"c606000111.Contig2\", \"bbox\": [69, 215, 142, 225]}, {\"cell\": \"Ser/Thr kinase\", \"bbox\": [200, 215, 247, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 214, 342, 225]}, {\"cell\": \"NP_001139628.1: GSK-3 beta\", \"bbox\": [364, 215, 458, 225]}, {\"cell\": \"APCh\", \"bbox\": [0, 227, 19, 238]}, {\"cell\": \"c408602200.Contig1\", \"bbox\": [69, 228, 136, 238]}, {\"cell\": \"ARM(2)\", \"bbox\": [200, 228, 225, 238]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 227, 340, 238]}, {\"cell\": \"AAF01784.1: APC2\", \"bbox\": [364, 228, 424, 238]}, {\"cell\": \"CK1i\", \"bbox\": [0, 240, 16, 251]}, {\"cell\": \"c608300381.Contig1\", \"bbox\": [69, 242, 142, 251]}, {\"cell\": \"Ser/Thr kinase\", \"bbox\": [200, 242, 247, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 240, 342, 251]}, {\"cell\": \"EAW61775.1: CK1\", \"bbox\": [364, 242, 422, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"c607500101.Contig1\", \"bbox\": [69, 255, 142, 264]}, {\"cell\": \"Ser/Thr kinase\", \"bbox\": [200, 255, 247, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 253, 342, 264]}, {\"cell\": \"CAA56710.1: CK1\", \"bbox\": [364, 255, 421, 264]}, {\"cell\": \"Tankyrase\", \"bbox\": [0, 268, 33, 278]}, {\"cell\": \"c606800096.Contig3\", \"bbox\": [69, 268, 142, 277]}, {\"cell\": \"ANK(10), SAM, PARP, C2\", \"bbox\": [200, 268, 278, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 268, 333, 278]}, {\"cell\": \"NP_003738.2: Tankyrase-1\", \"bbox\": [364, 268, 448, 278]}, {\"cell\": \"CBPj\", \"bbox\": [0, 280, 16, 291]}, {\"cell\": \"c601400002.Contig7\", \"bbox\": [69, 281, 142, 291]}, {\"cell\": \"ZnF, KIX, BROMO, DUF906, ZnF\", \"bbox\": [200, 281, 302, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 281, 333, 291]}, {\"cell\": \"AAC51770.1: CREB-binding protein\", \"bbox\": [364, 281, 477, 291]}, {\"cell\": \"Groucho/TLEk\", \"bbox\": [1, 293, 46, 304]}, {\"cell\": \"c601900005.Contig5b20\", \"bbox\": [69, 294, 155, 304]}, {\"cell\": \"WD40(6), LDLa(3), transmembrane\", \"bbox\": [200, 294, 311, 304]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 293, 342, 304]}, {\"cell\": \"AAH43247.1: TLE3\", \"bbox\": [364, 294, 424, 304]}, {\"cell\": \"Wntless/evi\", \"bbox\": [0, 308, 39, 317]}, {\"cell\": \"c607300052.Contig1\", \"bbox\": [69, 308, 142, 317]}, {\"cell\": \"transmembrane\", \"bbox\": [200, 308, 252, 317]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 306, 340, 317]}, {\"cell\": \"BAC11072.1: wntless\", \"bbox\": [364, 308, 431, 317]}, {\"cell\": \"Lzic/Icat\", \"bbox\": [0, 321, 28, 330]}, {\"cell\": \"c606200080.Contig2\", \"bbox\": [69, 321, 142, 330]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 319, 340, 330]}, {\"cell\": \"NP_115774: LZIC\", \"bbox\": [364, 321, 420, 330]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2959043_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]ρSDρ95% CIV%KN
CORRELATIONS CORRECTED FOR SAMPLING- AND MEASUREMENT ERRORa
Overall0.1300.162(0.077, 0.183)39.1654[EMPTY_CELL]
Affiliation0.1160.109(0.050, 0.182)53.1534[EMPTY_CELL]
Achievement0.1390.175(0.080, 0.198)33.7447[EMPTY_CELL]
Power0.0380.134(−0.055, 0.131)43.6820[EMPTY_CELL]
CORRELATIONS CORRECTED FOR SAMPLING ERROR ONLYa
Overall0.0950.112(0.056, 0.134)38.8154[EMPTY_CELL]
Affiliation0.0920.087(0.040, 0.144)53.9335[EMPTY_CELL]
Achievement0.1100.131(0.066, 0.154)34.6747[EMPTY_CELL]
Power0.0260.099(−0.046, 0.098)45.4521[EMPTY_CELL]
DESCRIPTIVE STATISTICS FOR UNCORRECTED SINGLE CORRELATIONS
[EMPTY_CELL]MSD95% CI[EMPTY_CELL]Kc[EMPTY_CELL]
Overall0.0730.161(0.048, 0.098)[EMPTY_CELL]165[EMPTY_CELL]
Affiliation0.0810.175(0.032, 0.130)[EMPTY_CELL]51[EMPTY_CELL]
Achievement0.0730.155(0.039, 0.106)[EMPTY_CELL]86[EMPTY_CELL]
Power0.0590.155(−0.001, 0.119)[EMPTY_CELL]28[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"ρ\", \"bbox\": [62, 8, 68, 15]}, {\"cell\": \"SDρ\", \"bbox\": [87, 6, 103, 16]}, {\"cell\": \"95% CI\", \"bbox\": [128, 6, 155, 14]}, {\"cell\": \"V%\", \"bbox\": [181, 6, 195, 14]}, {\"cell\": \"K\", \"bbox\": [210, 6, 217, 14]}, {\"cell\": \"N\", \"bbox\": [236, 6, 243, 14]}, {\"cell\": \"CORRELATIONS CORRECTED FOR SAMPLING- AND MEASUREMENT ERRORa\", \"bbox\": [2, 24, 189, 42]}, {\"cell\": \"Overall\", \"bbox\": [1, 45, 26, 54]}, {\"cell\": \"0.130\", \"bbox\": [55, 45, 75, 54]}, {\"cell\": \"0.162\", \"bbox\": [85, 45, 105, 54]}, {\"cell\": \"(0.077, 0.183)\", \"bbox\": [118, 45, 164, 54]}, {\"cell\": \"39.16\", \"bbox\": [178, 45, 198, 54]}, {\"cell\": \"54\", \"bbox\": [209, 45, 219, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [230, 45, 249, 54]}, {\"cell\": \"Affiliation\", \"bbox\": [1, 56, 33, 65]}, {\"cell\": \"0.116\", \"bbox\": [56, 56, 75, 65]}, {\"cell\": \"0.109\", \"bbox\": [85, 56, 105, 65]}, {\"cell\": \"(0.050, 0.182)\", \"bbox\": [118, 56, 165, 65]}, {\"cell\": \"53.15\", \"bbox\": [178, 56, 198, 65]}, {\"cell\": \"34\", \"bbox\": [209, 56, 219, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [230, 56, 249, 65]}, {\"cell\": \"Achievement\", \"bbox\": [1, 67, 46, 76]}, {\"cell\": \"0.139\", \"bbox\": [55, 67, 76, 76]}, {\"cell\": \"0.175\", \"bbox\": [85, 67, 105, 76]}, {\"cell\": \"(0.080, 0.198)\", \"bbox\": [118, 67, 165, 76]}, {\"cell\": \"33.74\", \"bbox\": [178, 67, 198, 76]}, {\"cell\": \"47\", \"bbox\": [209, 67, 219, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [230, 67, 249, 76]}, {\"cell\": \"Power\", \"bbox\": [1, 78, 23, 87]}, {\"cell\": \"0.038\", \"bbox\": [55, 78, 76, 87]}, {\"cell\": \"0.134\", \"bbox\": [85, 78, 105, 87]}, {\"cell\": \"(−0.055, 0.131)\", \"bbox\": [115, 78, 168, 87]}, {\"cell\": \"43.68\", \"bbox\": [177, 78, 198, 87]}, {\"cell\": \"20\", \"bbox\": [209, 78, 219, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [230, 78, 249, 87]}, {\"cell\": \"CORRELATIONS CORRECTED FOR SAMPLING ERROR ONLYa\", \"bbox\": [2, 88, 220, 97]}, {\"cell\": \"Overall\", \"bbox\": [1, 100, 26, 109]}, {\"cell\": \"0.095\", \"bbox\": [55, 100, 76, 109]}, {\"cell\": \"0.112\", \"bbox\": [85, 100, 105, 109]}, {\"cell\": \"(0.056, 0.134)\", \"bbox\": [118, 100, 165, 109]}, {\"cell\": \"38.81\", \"bbox\": [177, 100, 198, 109]}, {\"cell\": \"54\", \"bbox\": [209, 100, 219, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [230, 100, 249, 109]}, {\"cell\": \"Affiliation\", \"bbox\": [1, 111, 33, 120]}, {\"cell\": \"0.092\", \"bbox\": [55, 111, 76, 120]}, {\"cell\": \"0.087\", \"bbox\": [85, 111, 106, 120]}, {\"cell\": \"(0.040, 0.144)\", \"bbox\": [118, 111, 165, 120]}, {\"cell\": \"53.93\", \"bbox\": [177, 111, 198, 120]}, {\"cell\": \"35\", \"bbox\": [209, 111, 219, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [231, 111, 249, 120]}, {\"cell\": \"Achievement\", \"bbox\": [1, 122, 46, 131]}, {\"cell\": \"0.110\", \"bbox\": [56, 122, 75, 131]}, {\"cell\": \"0.131\", \"bbox\": [85, 122, 105, 131]}, {\"cell\": \"(0.066, 0.154)\", \"bbox\": [118, 122, 165, 131]}, {\"cell\": \"34.67\", \"bbox\": [177, 122, 198, 131]}, {\"cell\": \"47\", \"bbox\": [209, 122, 219, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [230, 122, 249, 131]}, {\"cell\": \"Power\", \"bbox\": [1, 133, 23, 142]}, {\"cell\": \"0.026\", \"bbox\": [55, 133, 76, 142]}, {\"cell\": \"0.099\", \"bbox\": [85, 133, 106, 142]}, {\"cell\": \"(−0.046, 0.098)\", \"bbox\": [115, 133, 168, 142]}, {\"cell\": \"45.45\", \"bbox\": [177, 133, 198, 142]}, {\"cell\": \"21\", \"bbox\": [209, 133, 219, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [231, 133, 249, 142]}, {\"cell\": \"DESCRIPTIVE STATISTICS FOR UNCORRECTED SINGLE CORRELATIONS\", \"bbox\": [2, 144, 201, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"M\", \"bbox\": [60, 173, 70, 180]}, {\"cell\": \"SD\", \"bbox\": [89, 173, 101, 180]}, {\"cell\": \"95% CI\", \"bbox\": [128, 172, 155, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Kc\", \"bbox\": [209, 171, 219, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Overall\", \"bbox\": [1, 191, 26, 200]}, {\"cell\": \"0.073\", \"bbox\": [55, 191, 76, 200]}, {\"cell\": \"0.161\", \"bbox\": [85, 191, 105, 200]}, {\"cell\": \"(0.048, 0.098)\", \"bbox\": [118, 191, 165, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"165\", \"bbox\": [207, 191, 221, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Affiliation\", \"bbox\": [1, 202, 33, 211]}, {\"cell\": \"0.081\", \"bbox\": [55, 202, 76, 211]}, {\"cell\": \"0.175\", \"bbox\": [85, 202, 105, 211]}, {\"cell\": \"(0.032, 0.130)\", \"bbox\": [118, 202, 165, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"51\", \"bbox\": [209, 202, 219, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Achievement\", \"bbox\": [1, 213, 46, 222]}, {\"cell\": \"0.073\", \"bbox\": [55, 213, 76, 222]}, {\"cell\": \"0.155\", \"bbox\": [85, 213, 105, 222]}, {\"cell\": \"(0.039, 0.106)\", \"bbox\": [118, 213, 165, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"86\", \"bbox\": [209, 213, 219, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Power\", \"bbox\": [1, 224, 23, 233]}, {\"cell\": \"0.059\", \"bbox\": [55, 224, 76, 233]}, {\"cell\": \"0.155\", \"bbox\": [85, 224, 105, 233]}, {\"cell\": \"(−0.001, 0.119)\", \"bbox\": [115, 224, 167, 233]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"28\", \"bbox\": [209, 224, 219, 233]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4126572_011_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Sr. no.Repeat unit and derivativesNumber of TTCCA repeat units and its derivatives per 3564 bp HaeIII unit of DYZ1 array
MZT1aMZT1bMZT2aMZT2bMZT3aMZT3b
1TTCCA[EMPTY_CELL]226221228184190
21 bp derivatives[EMPTY_CELL]289286295245238
[EMPTY_CELL]ATCCA[EMPTY_CELL]99977
[EMPTY_CELL]TACCA[EMPTY_CELL]33322
[EMPTY_CELL]TTACA[EMPTY_CELL]1615161211
[EMPTY_CELL]TTCAA[EMPTY_CELL]2122232119
[EMPTY_CELL]TTTCA[EMPTY_CELL]1918191715
[EMPTY_CELL]TTCTA[EMPTY_CELL]2624252423
[EMPTY_CELL]TTCCT[EMPTY_CELL]3334302927
[EMPTY_CELL]GTCCA[EMPTY_CELL]2930312626
[EMPTY_CELL]TGCCA[EMPTY_CELL]99988
[EMPTY_CELL]TTGCA[EMPTY_CELL]2224251618
[EMPTY_CELL]TTCGA[EMPTY_CELL]6055625051
[EMPTY_CELL]TTCCG[EMPTY_CELL]1719181414
[EMPTY_CELL]CTCCA[EMPTY_CELL]1412141010
[EMPTY_CELL]TCCCA[EMPTY_CELL]44422
[EMPTY_CELL]TTCCC[EMPTY_CELL]78775
32 bp derivatives[EMPTY_CELL]140154139116120
43 bp derivatives[EMPTY_CELL]3632372828
54 bp derivatives[EMPTY_CELL]119898
65 bp derivatives[EMPTY_CELL]11111
\", \"cells\": [{\"cell\": \"Sr. no.\", \"bbox\": [1, 4, 24, 13]}, {\"cell\": \"Repeat unit and derivatives\", \"bbox\": [48, 4, 88, 31]}, {\"cell\": \"Number of TTCCA repeat units and its derivatives per 3564 bp HaeIII unit of DYZ1 array\", \"bbox\": [144, 4, 452, 13]}, {\"cell\": \"MZT1a\", \"bbox\": [123, 17, 148, 27]}, {\"cell\": \"MZT1b\", \"bbox\": [187, 17, 213, 27]}, {\"cell\": \"MZT2a\", \"bbox\": [252, 17, 278, 27]}, {\"cell\": \"MZT2b\", \"bbox\": [317, 17, 343, 27]}, {\"cell\": \"MZT3a\", \"bbox\": [382, 17, 408, 27]}, {\"cell\": \"MZT3b\", \"bbox\": [447, 17, 473, 27]}, {\"cell\": \"1\", \"bbox\": [10, 35, 15, 44]}, {\"cell\": \"TTCCA\", \"bbox\": [56, 35, 79, 44]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [128, 35, 143, 45]}, {\"cell\": \"226\", \"bbox\": [193, 35, 208, 45]}, {\"cell\": \"221\", \"bbox\": [258, 35, 273, 45]}, {\"cell\": \"228\", \"bbox\": [323, 35, 338, 45]}, {\"cell\": \"184\", \"bbox\": [388, 35, 403, 45]}, {\"cell\": \"190\", \"bbox\": [453, 35, 468, 45]}, {\"cell\": \"2\", \"bbox\": [10, 48, 15, 58]}, {\"cell\": \"1 bp derivatives\", \"bbox\": [41, 48, 94, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [128, 48, 143, 58]}, {\"cell\": \"289\", \"bbox\": [193, 48, 208, 58]}, {\"cell\": \"286\", \"bbox\": [258, 48, 273, 58]}, {\"cell\": \"295\", \"bbox\": [323, 48, 338, 58]}, {\"cell\": \"245\", \"bbox\": [388, 48, 403, 58]}, {\"cell\": \"238\", \"bbox\": [453, 48, 468, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"ATCCA\", \"bbox\": [56, 61, 80, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 61, 138, 71]}, {\"cell\": \"9\", \"bbox\": [197, 61, 203, 71]}, {\"cell\": \"9\", \"bbox\": [262, 61, 268, 71]}, {\"cell\": \"9\", \"bbox\": [327, 61, 333, 71]}, {\"cell\": \"7\", \"bbox\": [392, 61, 398, 71]}, {\"cell\": \"7\", \"bbox\": [457, 61, 463, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TACCA\", \"bbox\": [56, 75, 80, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 75, 138, 84]}, {\"cell\": \"3\", \"bbox\": [197, 75, 203, 84]}, {\"cell\": \"3\", \"bbox\": [262, 75, 268, 84]}, {\"cell\": \"3\", \"bbox\": [327, 75, 333, 84]}, {\"cell\": \"2\", \"bbox\": [392, 75, 398, 84]}, {\"cell\": \"2\", \"bbox\": [457, 75, 463, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TTACA\", \"bbox\": [56, 88, 79, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [130, 88, 140, 97]}, {\"cell\": \"16\", \"bbox\": [195, 88, 205, 97]}, {\"cell\": \"15\", \"bbox\": [260, 88, 270, 97]}, {\"cell\": \"16\", \"bbox\": [325, 88, 336, 97]}, {\"cell\": \"12\", \"bbox\": [390, 88, 400, 97]}, {\"cell\": \"11\", \"bbox\": [455, 88, 466, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TTCAA\", \"bbox\": [56, 101, 79, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [130, 101, 140, 110]}, {\"cell\": \"21\", \"bbox\": [195, 101, 205, 110]}, {\"cell\": \"22\", \"bbox\": [260, 101, 270, 110]}, {\"cell\": \"23\", \"bbox\": [325, 101, 336, 110]}, {\"cell\": \"21\", \"bbox\": [390, 101, 400, 110]}, {\"cell\": \"19\", \"bbox\": [455, 101, 466, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TTTCA\", \"bbox\": [57, 114, 79, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [130, 114, 140, 123]}, {\"cell\": \"19\", \"bbox\": [195, 114, 205, 123]}, {\"cell\": \"18\", \"bbox\": [260, 114, 270, 123]}, {\"cell\": \"19\", \"bbox\": [325, 114, 336, 123]}, {\"cell\": \"17\", \"bbox\": [390, 114, 400, 123]}, {\"cell\": \"15\", \"bbox\": [455, 114, 466, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TTCTA\", \"bbox\": [57, 127, 79, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [130, 127, 140, 137]}, {\"cell\": \"26\", \"bbox\": [195, 127, 205, 137]}, {\"cell\": \"24\", \"bbox\": [260, 127, 270, 137]}, {\"cell\": \"25\", \"bbox\": [325, 127, 336, 137]}, {\"cell\": \"24\", \"bbox\": [390, 127, 400, 137]}, {\"cell\": \"23\", \"bbox\": [455, 127, 466, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TTCCT\", \"bbox\": [57, 140, 79, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [130, 140, 140, 150]}, {\"cell\": \"33\", \"bbox\": [195, 140, 205, 150]}, {\"cell\": \"34\", \"bbox\": [260, 140, 270, 150]}, {\"cell\": \"30\", \"bbox\": [325, 140, 336, 150]}, {\"cell\": \"29\", \"bbox\": [390, 140, 400, 150]}, {\"cell\": \"27\", \"bbox\": [455, 140, 466, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"GTCCA\", \"bbox\": [56, 153, 80, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [130, 153, 140, 163]}, {\"cell\": \"29\", \"bbox\": [195, 153, 205, 163]}, {\"cell\": \"30\", \"bbox\": [260, 153, 270, 163]}, {\"cell\": \"31\", \"bbox\": [325, 153, 336, 163]}, {\"cell\": \"26\", \"bbox\": [390, 153, 400, 163]}, {\"cell\": \"26\", \"bbox\": [455, 153, 465, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TGCCA\", \"bbox\": [56, 167, 80, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [130, 167, 140, 176]}, {\"cell\": \"9\", \"bbox\": [197, 167, 203, 176]}, {\"cell\": \"9\", \"bbox\": [262, 167, 268, 176]}, {\"cell\": \"9\", \"bbox\": [327, 167, 333, 176]}, {\"cell\": \"8\", \"bbox\": [392, 167, 398, 176]}, {\"cell\": \"8\", \"bbox\": [457, 167, 463, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TTGCA\", \"bbox\": [56, 180, 80, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [130, 180, 140, 189]}, {\"cell\": \"22\", \"bbox\": [195, 180, 205, 189]}, {\"cell\": \"24\", \"bbox\": [260, 180, 270, 189]}, {\"cell\": \"25\", \"bbox\": [325, 180, 336, 189]}, {\"cell\": \"16\", \"bbox\": [390, 180, 400, 189]}, {\"cell\": \"18\", \"bbox\": [455, 180, 466, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TTCGA\", \"bbox\": [56, 193, 80, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [130, 193, 140, 202]}, {\"cell\": \"60\", \"bbox\": [195, 193, 205, 202]}, {\"cell\": \"55\", \"bbox\": [260, 193, 270, 202]}, {\"cell\": \"62\", \"bbox\": [325, 193, 336, 202]}, {\"cell\": \"50\", \"bbox\": [390, 193, 400, 202]}, {\"cell\": \"51\", \"bbox\": [455, 193, 466, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TTCCG\", \"bbox\": [56, 206, 80, 215]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [130, 206, 140, 215]}, {\"cell\": \"17\", \"bbox\": [195, 206, 205, 215]}, {\"cell\": \"19\", \"bbox\": [260, 206, 270, 215]}, {\"cell\": \"18\", \"bbox\": [325, 206, 336, 215]}, {\"cell\": \"14\", \"bbox\": [390, 206, 400, 215]}, {\"cell\": \"14\", \"bbox\": [455, 206, 465, 215]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CTCCA\", \"bbox\": [56, 219, 80, 228]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [130, 219, 140, 228]}, {\"cell\": \"14\", \"bbox\": [195, 219, 205, 228]}, {\"cell\": \"12\", \"bbox\": [260, 219, 270, 229]}, {\"cell\": \"14\", \"bbox\": [325, 219, 336, 229]}, {\"cell\": \"10\", \"bbox\": [390, 219, 400, 228]}, {\"cell\": \"10\", \"bbox\": [455, 219, 465, 228]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TCCCA\", \"bbox\": [56, 232, 80, 242]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 232, 138, 242]}, {\"cell\": \"4\", \"bbox\": [197, 232, 203, 242]}, {\"cell\": \"4\", \"bbox\": [262, 232, 268, 242]}, {\"cell\": \"4\", \"bbox\": [327, 232, 333, 242]}, {\"cell\": \"2\", \"bbox\": [392, 232, 398, 242]}, {\"cell\": \"2\", \"bbox\": [457, 232, 463, 242]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TTCCC\", \"bbox\": [57, 246, 79, 255]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 246, 138, 255]}, {\"cell\": \"7\", \"bbox\": [197, 246, 203, 255]}, {\"cell\": \"8\", \"bbox\": [262, 246, 268, 255]}, {\"cell\": \"7\", \"bbox\": [327, 246, 333, 255]}, {\"cell\": \"7\", \"bbox\": [392, 246, 398, 255]}, {\"cell\": \"5\", \"bbox\": [457, 246, 463, 255]}, {\"cell\": \"3\", \"bbox\": [10, 259, 15, 268]}, {\"cell\": \"2 bp derivatives\", \"bbox\": [41, 259, 94, 268]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [128, 259, 143, 268]}, {\"cell\": \"140\", \"bbox\": [193, 259, 208, 268]}, {\"cell\": \"154\", \"bbox\": [258, 259, 273, 268]}, {\"cell\": \"139\", \"bbox\": [323, 259, 338, 268]}, {\"cell\": \"116\", \"bbox\": [388, 259, 403, 268]}, {\"cell\": \"120\", \"bbox\": [453, 259, 468, 268]}, {\"cell\": \"4\", \"bbox\": [10, 272, 15, 281]}, {\"cell\": \"3 bp derivatives\", \"bbox\": [41, 272, 94, 281]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [130, 272, 140, 281]}, {\"cell\": \"36\", \"bbox\": [195, 272, 205, 281]}, {\"cell\": \"32\", \"bbox\": [260, 272, 270, 281]}, {\"cell\": \"37\", \"bbox\": [325, 272, 336, 281]}, {\"cell\": \"28\", \"bbox\": [390, 272, 400, 281]}, {\"cell\": \"28\", \"bbox\": [455, 272, 465, 281]}, {\"cell\": \"5\", \"bbox\": [10, 285, 15, 294]}, {\"cell\": \"4 bp derivatives\", \"bbox\": [41, 285, 94, 294]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 285, 138, 294]}, {\"cell\": \"11\", \"bbox\": [195, 285, 205, 294]}, {\"cell\": \"9\", \"bbox\": [262, 285, 268, 294]}, {\"cell\": \"8\", \"bbox\": [327, 285, 333, 294]}, {\"cell\": \"9\", \"bbox\": [392, 285, 398, 294]}, {\"cell\": \"8\", \"bbox\": [457, 285, 463, 294]}, {\"cell\": \"6\", \"bbox\": [10, 298, 15, 307]}, {\"cell\": \"5 bp derivatives\", \"bbox\": [41, 298, 94, 307]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 298, 138, 307]}, {\"cell\": \"1\", \"bbox\": [197, 298, 203, 307]}, {\"cell\": \"1\", \"bbox\": [262, 298, 268, 307]}, {\"cell\": \"1\", \"bbox\": [327, 298, 333, 307]}, {\"cell\": \"1\", \"bbox\": [392, 298, 398, 307]}, {\"cell\": \"1\", \"bbox\": [457, 298, 463, 307]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3925983_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Clinical measureGroupMeanStandard deviationMean duplicate CV
[EMPTY_CELL]SED0.820.130.06
[EMPTY_CELL]0.880.15
[EMPTY_CELL]0.930.12
[EMPTY_CELL]SED1.270.270.03
[EMPTY_CELL]1.550.34
[EMPTY_CELL]1.08∗0.32
[EMPTY_CELL]SED5.651.660.04
[EMPTY_CELL]6.352.65
[EMPTY_CELL]4.11∗2.04
[EMPTY_CELL]SED3.220.47NA
[EMPTY_CELL]3.710.61
[EMPTY_CELL]2.83∗0.73
[EMPTY_CELL]SED1.070.510.04
[EMPTY_CELL]2.061.79
[EMPTY_CELL]2.111.26
[EMPTY_CELL]SED26.233.840.04
[EMPTY_CELL]29.886.42
[EMPTY_CELL]35.24†6.08
[EMPTY_CELL]SED1.570.09NA
[EMPTY_CELL]1.590.12
[EMPTY_CELL]1.46†0.08
[EMPTY_CELL]SED0.00500.0003NA
[EMPTY_CELL]0.00500.0003
[EMPTY_CELL]0.0047†0.0002
\", \"cells\": [{\"cell\": \"Clinical measure\", \"bbox\": [2, 4, 35, 25]}, {\"cell\": \"Group\", \"bbox\": [59, 8, 85, 19]}, {\"cell\": \"Mean\", \"bbox\": [93, 8, 115, 19]}, {\"cell\": \"Standard deviation\", \"bbox\": [128, 4, 164, 25]}, {\"cell\": \"Mean duplicate CV\", \"bbox\": [179, 4, 236, 25]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 39, 58, 50]}, {\"cell\": \"SED\", \"bbox\": [63, 27, 81, 38]}, {\"cell\": \"0.82\", \"bbox\": [95, 27, 112, 38]}, {\"cell\": \"0.13\", \"bbox\": [138, 28, 154, 39]}, {\"cell\": \"0.06\", \"bbox\": [199, 39, 216, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 40, 80, 51]}, {\"cell\": \"0.88\", \"bbox\": [95, 40, 112, 51]}, {\"cell\": \"0.15\", \"bbox\": [138, 41, 154, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [62, 54, 82, 64]}, {\"cell\": \"0.93\", \"bbox\": [95, 54, 112, 64]}, {\"cell\": \"0.12\", \"bbox\": [138, 54, 154, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 80, 55, 90]}, {\"cell\": \"SED\", \"bbox\": [63, 67, 81, 78]}, {\"cell\": \"1.27\", \"bbox\": [96, 67, 112, 78]}, {\"cell\": \"0.27\", \"bbox\": [138, 68, 155, 79]}, {\"cell\": \"0.03\", \"bbox\": [199, 80, 216, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 81, 80, 91]}, {\"cell\": \"1.55\", \"bbox\": [96, 81, 111, 91]}, {\"cell\": \"0.34\", \"bbox\": [138, 81, 155, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [62, 94, 82, 105]}, {\"cell\": \"1.08∗\", \"bbox\": [94, 90, 113, 105]}, {\"cell\": \"0.32\", \"bbox\": [138, 95, 155, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 120, 57, 130]}, {\"cell\": \"SED\", \"bbox\": [63, 108, 81, 118]}, {\"cell\": \"5.65\", \"bbox\": [96, 108, 112, 118]}, {\"cell\": \"1.66\", \"bbox\": [138, 108, 154, 119]}, {\"cell\": \"0.04\", \"bbox\": [199, 120, 216, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 121, 80, 131]}, {\"cell\": \"6.35\", \"bbox\": [96, 121, 112, 131]}, {\"cell\": \"2.65\", \"bbox\": [138, 122, 155, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [62, 134, 82, 145]}, {\"cell\": \"4.11∗\", \"bbox\": [94, 130, 113, 145]}, {\"cell\": \"2.04\", \"bbox\": [138, 135, 155, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 155, 37, 176]}, {\"cell\": \"SED\", \"bbox\": [63, 148, 81, 158]}, {\"cell\": \"3.22\", \"bbox\": [96, 148, 112, 158]}, {\"cell\": \"0.47\", \"bbox\": [138, 148, 155, 159]}, {\"cell\": \"NA\", \"bbox\": [199, 160, 213, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 161, 80, 172]}, {\"cell\": \"3.71\", \"bbox\": [96, 161, 112, 172]}, {\"cell\": \"0.61\", \"bbox\": [138, 162, 154, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [62, 174, 82, 185]}, {\"cell\": \"2.83∗\", \"bbox\": [94, 170, 114, 185]}, {\"cell\": \"0.73\", \"bbox\": [138, 175, 155, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 195, 42, 218]}, {\"cell\": \"SED\", \"bbox\": [63, 188, 81, 199]}, {\"cell\": \"1.07\", \"bbox\": [96, 188, 112, 199]}, {\"cell\": \"0.51\", \"bbox\": [138, 189, 154, 199]}, {\"cell\": \"0.04\", \"bbox\": [199, 200, 216, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 201, 80, 212]}, {\"cell\": \"2.06\", \"bbox\": [95, 201, 112, 212]}, {\"cell\": \"1.79\", \"bbox\": [138, 202, 154, 213]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [62, 214, 82, 225]}, {\"cell\": \"2.11\", \"bbox\": [97, 214, 111, 225]}, {\"cell\": \"1.26\", \"bbox\": [138, 215, 154, 226]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 240, 56, 251]}, {\"cell\": \"SED\", \"bbox\": [63, 228, 81, 239]}, {\"cell\": \"26.23\", \"bbox\": [93, 228, 114, 239]}, {\"cell\": \"3.84\", \"bbox\": [138, 229, 155, 239]}, {\"cell\": \"0.04\", \"bbox\": [199, 240, 216, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 241, 80, 252]}, {\"cell\": \"29.88\", \"bbox\": [93, 241, 114, 252]}, {\"cell\": \"6.42\", \"bbox\": [138, 242, 155, 253]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [62, 255, 82, 265]}, {\"cell\": \"35.24†\", \"bbox\": [92, 251, 115, 265]}, {\"cell\": \"6.08\", \"bbox\": [138, 255, 155, 266]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 275, 56, 296]}, {\"cell\": \"SED\", \"bbox\": [63, 268, 81, 279]}, {\"cell\": \"1.57\", \"bbox\": [96, 268, 112, 279]}, {\"cell\": \"0.09\", \"bbox\": [138, 269, 155, 280]}, {\"cell\": \"NA\", \"bbox\": [199, 280, 213, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 281, 80, 292]}, {\"cell\": \"1.59\", \"bbox\": [96, 281, 112, 292]}, {\"cell\": \"0.12\", \"bbox\": [138, 282, 154, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [62, 295, 82, 305]}, {\"cell\": \"1.46†\", \"bbox\": [94, 291, 113, 305]}, {\"cell\": \"0.08\", \"bbox\": [138, 295, 155, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 321, 55, 331]}, {\"cell\": \"SED\", \"bbox\": [63, 308, 81, 319]}, {\"cell\": \"0.0050\", \"bbox\": [91, 308, 117, 319]}, {\"cell\": \"0.0003\", \"bbox\": [133, 309, 159, 320]}, {\"cell\": \"NA\", \"bbox\": [199, 321, 213, 331]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 322, 80, 332]}, {\"cell\": \"0.0050\", \"bbox\": [91, 322, 117, 332]}, {\"cell\": \"0.0003\", \"bbox\": [133, 322, 159, 333]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [62, 335, 82, 346]}, {\"cell\": \"0.0047†\", \"bbox\": [89, 331, 118, 346]}, {\"cell\": \"0.0002\", \"bbox\": [133, 336, 159, 346]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4458272_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
RankRadialityBetweennessDegreeStressEigen VectorBridging
1NUMBNUMB[EMPTY_CELL]NUMBRLFPRKCB
2ITGB5ITGB5[EMPTY_CELL]GSK3BITGA2APP
3PRKCBGSK3B[EMPTY_CELL]ITGB5AP1M1DPYSL2
4SCN5APRKCB[EMPTY_CELL]PRKCBPEG3NOTCH1
5APPMKI67[EMPTY_CELL]MKI67ITGB5CREB3
6ITGB3DLG2[EMPTY_CELL]APPFN1MDM2
7RLFAPP[EMPTY_CELL]DLG2SCN5APRKCA
8AP1M1SCN5A[EMPTY_CELL]BTRCATMPRKAR2A
9ITGA2APPBP2[EMPTY_CELL]SCN5AADRA1BDLG4
10FN1BTRC[EMPTY_CELL]CBX5AGAATP2B4
\", \"cells\": [{\"cell\": \"Rank\", \"bbox\": [10, 5, 34, 16]}, {\"cell\": \"Radiality\", \"bbox\": [55, 5, 95, 16]}, {\"cell\": \"Betweenness\", \"bbox\": [111, 5, 167, 16]}, {\"cell\": \"Degree\", \"bbox\": [185, 5, 217, 16]}, {\"cell\": \"Stress\", \"bbox\": [251, 5, 277, 16]}, {\"cell\": \"Eigen Vector\", \"bbox\": [308, 5, 361, 16]}, {\"cell\": \"Bridging\", \"bbox\": [382, 5, 421, 16]}, {\"cell\": \"1\", \"bbox\": [19, 21, 26, 32]}, {\"cell\": \"NUMB\", \"bbox\": [59, 21, 90, 32]}, {\"cell\": \"NUMB\", \"bbox\": [123, 21, 153, 32]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [192, 21, 210, 32]}, {\"cell\": \"NUMB\", \"bbox\": [249, 21, 279, 32]}, {\"cell\": \"RLF\", \"bbox\": [325, 21, 344, 32]}, {\"cell\": \"PRKCB\", \"bbox\": [385, 21, 417, 32]}, {\"cell\": \"2\", \"bbox\": [19, 32, 26, 43]}, {\"cell\": \"ITGB5\", \"bbox\": [61, 32, 88, 43]}, {\"cell\": \"ITGB5\", \"bbox\": [124, 32, 151, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [187, 32, 215, 43]}, {\"cell\": \"GSK3B\", \"bbox\": [249, 32, 279, 43]}, {\"cell\": \"ITGA2\", \"bbox\": [320, 32, 349, 43]}, {\"cell\": \"APP\", \"bbox\": [391, 32, 411, 43]}, {\"cell\": \"3\", \"bbox\": [19, 43, 26, 54]}, {\"cell\": \"PRKCB\", \"bbox\": [59, 43, 91, 54]}, {\"cell\": \"GSK3B\", \"bbox\": [123, 43, 153, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [185, 43, 217, 54]}, {\"cell\": \"ITGB5\", \"bbox\": [251, 43, 278, 54]}, {\"cell\": \"AP1M1\", \"bbox\": [319, 43, 350, 54]}, {\"cell\": \"DPYSL2\", \"bbox\": [384, 43, 419, 54]}, {\"cell\": \"4\", \"bbox\": [19, 54, 26, 65]}, {\"cell\": \"SCN5A\", \"bbox\": [59, 54, 91, 65]}, {\"cell\": \"PRKCB\", \"bbox\": [122, 54, 154, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [189, 54, 213, 65]}, {\"cell\": \"PRKCB\", \"bbox\": [248, 54, 280, 65]}, {\"cell\": \"PEG3\", \"bbox\": [322, 54, 347, 65]}, {\"cell\": \"NOTCH1\", \"bbox\": [381, 54, 421, 65]}, {\"cell\": \"5\", \"bbox\": [19, 65, 26, 76]}, {\"cell\": \"APP\", \"bbox\": [65, 65, 85, 76]}, {\"cell\": \"MKI67\", \"bbox\": [123, 65, 152, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 65, 212, 76]}, {\"cell\": \"MKI67\", \"bbox\": [250, 65, 279, 76]}, {\"cell\": \"ITGB5\", \"bbox\": [321, 65, 348, 76]}, {\"cell\": \"CREB3\", \"bbox\": [386, 65, 416, 76]}, {\"cell\": \"6\", \"bbox\": [19, 76, 26, 87]}, {\"cell\": \"ITGB3\", \"bbox\": [61, 76, 88, 87]}, {\"cell\": \"DLG2\", \"bbox\": [125, 76, 151, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [192, 76, 210, 87]}, {\"cell\": \"APP\", \"bbox\": [254, 76, 274, 87]}, {\"cell\": \"FN1\", \"bbox\": [325, 76, 344, 87]}, {\"cell\": \"MDM2\", \"bbox\": [386, 76, 417, 87]}, {\"cell\": \"7\", \"bbox\": [19, 87, 26, 98]}, {\"cell\": \"RLF\", \"bbox\": [65, 87, 84, 98]}, {\"cell\": \"APP\", \"bbox\": [128, 87, 148, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [187, 87, 215, 98]}, {\"cell\": \"DLG2\", \"bbox\": [251, 87, 277, 98]}, {\"cell\": \"SCN5A\", \"bbox\": [319, 87, 351, 98]}, {\"cell\": \"PRKCA\", \"bbox\": [385, 87, 418, 98]}, {\"cell\": \"8\", \"bbox\": [19, 98, 26, 109]}, {\"cell\": \"AP1M1\", \"bbox\": [59, 98, 91, 109]}, {\"cell\": \"SCN5A\", \"bbox\": [122, 98, 154, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [185, 98, 217, 109]}, {\"cell\": \"BTRC\", \"bbox\": [252, 98, 277, 109]}, {\"cell\": \"ATM\", \"bbox\": [323, 98, 346, 109]}, {\"cell\": \"PRKAR2A\", \"bbox\": [379, 98, 423, 109]}, {\"cell\": \"9\", \"bbox\": [19, 109, 26, 120]}, {\"cell\": \"ITGA2\", \"bbox\": [60, 109, 89, 120]}, {\"cell\": \"APPBP2\", \"bbox\": [120, 109, 155, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 109, 220, 120]}, {\"cell\": \"SCN5A\", \"bbox\": [248, 109, 280, 120]}, {\"cell\": \"ADRA1B\", \"bbox\": [315, 109, 354, 120]}, {\"cell\": \"DLG4\", \"bbox\": [388, 109, 414, 120]}, {\"cell\": \"10\", \"bbox\": [17, 120, 28, 131]}, {\"cell\": \"FN1\", \"bbox\": [65, 120, 84, 131]}, {\"cell\": \"BTRC\", \"bbox\": [125, 120, 150, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 120, 212, 131]}, {\"cell\": \"CBX5\", \"bbox\": [252, 120, 276, 131]}, {\"cell\": \"AGA\", \"bbox\": [323, 120, 346, 131]}, {\"cell\": \"ATP2B4\", \"bbox\": [384, 120, 418, 131]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5486014_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
No.Material namePart of usagePercentage of components in formula (W/W)a% yields (W/W)aDPPH assay IC30 value (μg/mL)
1L-ascorbic acid---[EMPTY_CELL]
2Piperine---[EMPTY_CELL]
3Gallic acid---[EMPTY_CELL]
4STF formula--19.78[EMPTY_CELL]
51,7, 7 – trimethylbicyclo (2.2.1) heptan −2- one (analytical camphor)crystal1.40-[EMPTY_CELL]
6Acorus calamus L.root8.801.73[EMPTY_CELL]
7Anethum graveolens L.seed1.002.82[EMPTY_CELL]
8Atractylodes lancea (Thunb.) DC.root0.506.83[EMPTY_CELL]
9Baliospermum solanifolium (Burm.) Sureshroot8.000.74[EMPTY_CELL]
10Clausena excavate Burm.f.stem4.802.30[EMPTY_CELL]
11Cuminium cyminum L.seed0.806.26[EMPTY_CELL]
12Ferula assa-foetida Regelgum1.0027.89[EMPTY_CELL]
13Lepidium sativum L.seed1.107.83[EMPTY_CELL]
14Merremia vitifolia (Burm.f.) Hallier.f.stem0.801.49[EMPTY_CELL]
15Myristica fragrans Houtt.fruit1.301.01[EMPTY_CELL]
16Myristica fragrans Houtt.mace1.202.02[EMPTY_CELL]
17Nigella sativa L.seed0.709.21[EMPTY_CELL]
18Pistacia chinensis subsp. integerrima (J. L. Stewart ex Brandis) Rech. f. Lagasca.root0.6011.09[EMPTY_CELL]
19Picrorhiza kurroa Royle ex Benth.root0.407.70[EMPTY_CELL]
20Pimpinella anisum L.seed0.905.40[EMPTY_CELL]
21Piper nigrum L.fruit24.000.03[EMPTY_CELL]
22Piper retrofractum Vahl.fruit9.606.03[EMPTY_CELL]
23Plumbago indica L.root22.402.30[EMPTY_CELL]
24Terminalia chebula Retz.fruit10.4028.29[EMPTY_CELL]
25Terminalia chebula Retz.gall0.308.83[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"No.\", \"bbox\": [1, 4, 13, 13]}, {\"cell\": \"Material name\", \"bbox\": [32, 4, 80, 13]}, {\"cell\": \"Part of usage\", \"bbox\": [188, 4, 232, 13]}, {\"cell\": \"Percentage of components in formula (W/W)a\", \"bbox\": [251, 4, 340, 22]}, {\"cell\": \"% yields (W/W)a\", \"bbox\": [359, 2, 412, 13]}, {\"cell\": \"DPPH assay IC30 value (μg/mL)\", \"bbox\": [431, 4, 484, 22]}, {\"cell\": \"1\", \"bbox\": [1, 26, 6, 36]}, {\"cell\": \"L-ascorbic acid\", \"bbox\": [32, 26, 81, 36]}, {\"cell\": \"-\", \"bbox\": [188, 26, 192, 36]}, {\"cell\": \"-\", \"bbox\": [251, 26, 255, 36]}, {\"cell\": \"-\", \"bbox\": [359, 26, 364, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 26, 467, 36]}, {\"cell\": \"2\", \"bbox\": [1, 40, 6, 50]}, {\"cell\": \"Piperine\", \"bbox\": [32, 40, 60, 50]}, {\"cell\": \"-\", \"bbox\": [188, 40, 192, 50]}, {\"cell\": \"-\", \"bbox\": [251, 40, 255, 50]}, {\"cell\": \"-\", \"bbox\": [359, 40, 364, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 40, 449, 50]}, {\"cell\": \"3\", \"bbox\": [1, 54, 6, 64]}, {\"cell\": \"Gallic acid\", \"bbox\": [32, 54, 66, 64]}, {\"cell\": \"-\", \"bbox\": [188, 54, 192, 64]}, {\"cell\": \"-\", \"bbox\": [251, 54, 255, 64]}, {\"cell\": \"-\", \"bbox\": [359, 54, 364, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 54, 467, 64]}, {\"cell\": \"4\", \"bbox\": [1, 68, 6, 78]}, {\"cell\": \"STF formula\", \"bbox\": [32, 68, 72, 78]}, {\"cell\": \"-\", \"bbox\": [188, 68, 192, 78]}, {\"cell\": \"-\", \"bbox\": [251, 68, 255, 78]}, {\"cell\": \"19.78\", \"bbox\": [359, 68, 378, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 68, 470, 78]}, {\"cell\": \"5\", \"bbox\": [1, 82, 6, 92]}, {\"cell\": \"1,7, 7 – trimethylbicyclo (2.2.1) heptan −2- one (analytical camphor)\", \"bbox\": [32, 82, 169, 101]}, {\"cell\": \"crystal\", \"bbox\": [188, 82, 210, 92]}, {\"cell\": \"1.40\", \"bbox\": [251, 82, 266, 92]}, {\"cell\": \"-\", \"bbox\": [359, 82, 364, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 82, 449, 92]}, {\"cell\": \"6\", \"bbox\": [1, 105, 6, 115]}, {\"cell\": \"Acorus calamus L.\", \"bbox\": [32, 105, 90, 115]}, {\"cell\": \"root\", \"bbox\": [188, 105, 203, 115]}, {\"cell\": \"8.80\", \"bbox\": [251, 105, 266, 115]}, {\"cell\": \"1.73\", \"bbox\": [359, 105, 374, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 105, 449, 115]}, {\"cell\": \"7\", \"bbox\": [1, 119, 6, 129]}, {\"cell\": \"Anethum graveolens L.\", \"bbox\": [32, 119, 105, 129]}, {\"cell\": \"seed\", \"bbox\": [188, 119, 205, 129]}, {\"cell\": \"1.00\", \"bbox\": [251, 119, 266, 129]}, {\"cell\": \"2.82\", \"bbox\": [359, 119, 374, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 119, 449, 129]}, {\"cell\": \"8\", \"bbox\": [1, 133, 6, 143]}, {\"cell\": \"Atractylodes lancea (Thunb.) DC.\", \"bbox\": [32, 133, 136, 143]}, {\"cell\": \"root\", \"bbox\": [188, 133, 203, 143]}, {\"cell\": \"0.50\", \"bbox\": [251, 133, 266, 143]}, {\"cell\": \"6.83\", \"bbox\": [359, 133, 374, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 133, 449, 143]}, {\"cell\": \"9\", \"bbox\": [1, 147, 6, 157]}, {\"cell\": \"Baliospermum solanifolium (Burm.) Suresh\", \"bbox\": [32, 147, 166, 157]}, {\"cell\": \"root\", \"bbox\": [188, 147, 203, 157]}, {\"cell\": \"8.00\", \"bbox\": [251, 147, 266, 157]}, {\"cell\": \"0.74\", \"bbox\": [359, 147, 374, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 147, 474, 157]}, {\"cell\": \"10\", \"bbox\": [1, 161, 10, 171]}, {\"cell\": \"Clausena excavate Burm.f.\", \"bbox\": [32, 161, 115, 171]}, {\"cell\": \"stem\", \"bbox\": [188, 161, 206, 171]}, {\"cell\": \"4.80\", \"bbox\": [251, 161, 266, 171]}, {\"cell\": \"2.30\", \"bbox\": [359, 161, 374, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 161, 470, 171]}, {\"cell\": \"11\", \"bbox\": [1, 175, 10, 185]}, {\"cell\": \"Cuminium cyminum L.\", \"bbox\": [32, 175, 104, 185]}, {\"cell\": \"seed\", \"bbox\": [188, 175, 205, 185]}, {\"cell\": \"0.80\", \"bbox\": [251, 175, 266, 185]}, {\"cell\": \"6.26\", \"bbox\": [359, 175, 374, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 175, 474, 185]}, {\"cell\": \"12\", \"bbox\": [1, 189, 10, 199]}, {\"cell\": \"Ferula assa-foetida Regel\", \"bbox\": [32, 189, 110, 199]}, {\"cell\": \"gum\", \"bbox\": [188, 189, 205, 199]}, {\"cell\": \"1.00\", \"bbox\": [251, 189, 266, 199]}, {\"cell\": \"27.89\", \"bbox\": [359, 189, 378, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 189, 449, 199]}, {\"cell\": \"13\", \"bbox\": [1, 203, 10, 213]}, {\"cell\": \"Lepidium sativum L.\", \"bbox\": [32, 203, 96, 213]}, {\"cell\": \"seed\", \"bbox\": [188, 203, 205, 213]}, {\"cell\": \"1.10\", \"bbox\": [251, 203, 266, 213]}, {\"cell\": \"7.83\", \"bbox\": [359, 203, 374, 213]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 203, 470, 213]}, {\"cell\": \"14\", \"bbox\": [1, 217, 10, 227]}, {\"cell\": \"Merremia vitifolia (Burm.f.) Hallier.f.\", \"bbox\": [32, 217, 142, 227]}, {\"cell\": \"stem\", \"bbox\": [188, 217, 206, 227]}, {\"cell\": \"0.80\", \"bbox\": [251, 217, 266, 227]}, {\"cell\": \"1.49\", \"bbox\": [359, 217, 374, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 217, 470, 227]}, {\"cell\": \"15\", \"bbox\": [1, 231, 10, 241]}, {\"cell\": \"Myristica fragrans Houtt.\", \"bbox\": [32, 231, 110, 241]}, {\"cell\": \"fruit\", \"bbox\": [188, 231, 203, 241]}, {\"cell\": \"1.30\", \"bbox\": [251, 231, 266, 241]}, {\"cell\": \"1.01\", \"bbox\": [359, 231, 374, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 231, 470, 241]}, {\"cell\": \"16\", \"bbox\": [1, 245, 10, 255]}, {\"cell\": \"Myristica fragrans Houtt.\", \"bbox\": [32, 245, 110, 255]}, {\"cell\": \"mace\", \"bbox\": [188, 245, 207, 255]}, {\"cell\": \"1.20\", \"bbox\": [251, 245, 266, 255]}, {\"cell\": \"2.02\", \"bbox\": [359, 245, 374, 255]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 245, 470, 255]}, {\"cell\": \"17\", \"bbox\": [1, 259, 10, 269]}, {\"cell\": \"Nigella sativa L.\", \"bbox\": [32, 259, 82, 269]}, {\"cell\": \"seed\", \"bbox\": [188, 259, 205, 269]}, {\"cell\": \"0.70\", \"bbox\": [251, 259, 266, 269]}, {\"cell\": \"9.21\", \"bbox\": [359, 259, 374, 269]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 259, 449, 269]}, {\"cell\": \"18\", \"bbox\": [1, 273, 10, 283]}, {\"cell\": \"Pistacia chinensis subsp. integerrima (J. L. Stewart ex Brandis) Rech. f. Lagasca.\", \"bbox\": [32, 273, 162, 292]}, {\"cell\": \"root\", \"bbox\": [188, 273, 203, 283]}, {\"cell\": \"0.60\", \"bbox\": [251, 273, 266, 283]}, {\"cell\": \"11.09\", \"bbox\": [359, 273, 378, 283]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 273, 470, 283]}, {\"cell\": \"19\", \"bbox\": [1, 296, 10, 306]}, {\"cell\": \"Picrorhiza kurroa Royle ex Benth.\", \"bbox\": [32, 296, 137, 306]}, {\"cell\": \"root\", \"bbox\": [188, 296, 203, 306]}, {\"cell\": \"0.40\", \"bbox\": [251, 296, 266, 306]}, {\"cell\": \"7.70\", \"bbox\": [359, 296, 374, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 296, 470, 306]}, {\"cell\": \"20\", \"bbox\": [1, 310, 10, 320]}, {\"cell\": \"Pimpinella anisum L.\", \"bbox\": [32, 310, 98, 320]}, {\"cell\": \"seed\", \"bbox\": [188, 310, 205, 320]}, {\"cell\": \"0.90\", \"bbox\": [251, 310, 266, 320]}, {\"cell\": \"5.40\", \"bbox\": [359, 310, 374, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 310, 470, 320]}, {\"cell\": \"21\", \"bbox\": [1, 324, 10, 334]}, {\"cell\": \"Piper nigrum L.\", \"bbox\": [32, 324, 81, 334]}, {\"cell\": \"fruit\", \"bbox\": [188, 324, 203, 334]}, {\"cell\": \"24.00\", \"bbox\": [251, 324, 270, 334]}, {\"cell\": \"0.03\", \"bbox\": [359, 324, 374, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 324, 449, 334]}, {\"cell\": \"22\", \"bbox\": [1, 338, 10, 348]}, {\"cell\": \"Piper retrofractum Vahl.\", \"bbox\": [32, 338, 107, 348]}, {\"cell\": \"fruit\", \"bbox\": [188, 338, 203, 348]}, {\"cell\": \"9.60\", \"bbox\": [251, 338, 266, 348]}, {\"cell\": \"6.03\", \"bbox\": [359, 338, 374, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 338, 449, 348]}, {\"cell\": \"23\", \"bbox\": [1, 352, 10, 362]}, {\"cell\": \"Plumbago indica L.\", \"bbox\": [32, 352, 94, 362]}, {\"cell\": \"root\", \"bbox\": [188, 352, 203, 362]}, {\"cell\": \"22.40\", \"bbox\": [251, 352, 270, 362]}, {\"cell\": \"2.30\", \"bbox\": [359, 352, 374, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 352, 470, 362]}, {\"cell\": \"24\", \"bbox\": [1, 366, 10, 376]}, {\"cell\": \"Terminalia chebula Retz.\", \"bbox\": [32, 366, 110, 376]}, {\"cell\": \"fruit\", \"bbox\": [188, 366, 203, 376]}, {\"cell\": \"10.40\", \"bbox\": [251, 366, 270, 376]}, {\"cell\": \"28.29\", \"bbox\": [359, 366, 378, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 366, 467, 376]}, {\"cell\": \"25\", \"bbox\": [1, 380, 10, 390]}, {\"cell\": \"Terminalia chebula Retz.\", \"bbox\": [32, 380, 110, 390]}, {\"cell\": \"gall\", \"bbox\": [188, 380, 201, 390]}, {\"cell\": \"0.30\", \"bbox\": [251, 380, 266, 390]}, {\"cell\": \"8.83\", \"bbox\": [359, 380, 374, 390]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 380, 467, 390]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5223377_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
ECG abnormalitiesHIVpositive on HAART, n (%)HIVpositive HAART naïve, n (%)Control, n (%)χ2p-value
LAD[EMPTY_CELL]10 (13.7)8 (21)2.6560.265
T wave inversion in leads V1 –V3[EMPTY_CELL]22 (30.4)14 (36.8)24.682< 0.001
Low QRS voltage complex[EMPTY_CELL]0 (0)0 (0)2.0070.367
1st-degree heart block[EMPTY_CELL]1 (1.4)2 (5.3)1.0200.600
T-wave inversion in leads II, III, aVF (inferior leads)[EMPTY_CELL]1 (1.4)6 (15.8)4.8110.090
VEB[EMPTY_CELL]1 (1.4)0 (0)2.0070.367
T-wave inversion in leads I, aVL,V5–V6 (lateral leads)[EMPTY_CELL]2 (2.7)2 (5.3)2.0270.363
LBBB[EMPTY_CELL]0 (0)0 (0)2.0070.367
RBBB[EMPTY_CELL]0 (0)2 (5.3)2.0200.364
LVH[EMPTY_CELL]8 (11)0 (0)16.438< 0.001
Sinus tachycardia[EMPTY_CELL]14 (19.2)0 (0)2.0200.364
ST-segment elevation[EMPTY_CELL]2 (2.7)0 (0)4.0270.134
Sinus bradycardia[EMPTY_CELL]0 (0)2 (5.3)25.000< 0.001
Mean QTc ± SD[EMPTY_CELL]0.41 ± 0.040.39 ± 0.03*15.779< 0.001
Prolonged QTc[EMPTY_CELL]12 (16.4)4 (10.5)8.7840.012
Total[EMPTY_CELL]73 (100)38 (100)[EMPTY_CELL][EMPTY_CELL]
\", \"cells\": [{\"cell\": \"ECG abnormalities\", \"bbox\": [1, 35, 58, 44]}, {\"cell\": \"HIVpositive on HAART, n (%)\", \"bbox\": [73, 11, 106, 44]}, {\"cell\": \"HIVpositive HAART naïve, n (%)\", \"bbox\": [115, 3, 143, 44]}, {\"cell\": \"Control, n (%)\", \"bbox\": [156, 27, 182, 44]}, {\"cell\": \"χ2\", \"bbox\": [200, 35, 208, 44]}, {\"cell\": \"p-value\", \"bbox\": [222, 35, 245, 44]}, {\"cell\": \"LAD\", \"bbox\": [1, 46, 18, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [78, 46, 100, 55]}, {\"cell\": \"10 (13.7)\", \"bbox\": [115, 46, 143, 55]}, {\"cell\": \"8 (21)\", \"bbox\": [159, 46, 178, 55]}, {\"cell\": \"2.656\", \"bbox\": [198, 46, 216, 55]}, {\"cell\": \"0.265\", \"bbox\": [227, 46, 245, 55]}, {\"cell\": \"T wave inversion in leads V1 –V3\", \"bbox\": [1, 57, 59, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [78, 57, 100, 65]}, {\"cell\": \"22 (30.4)\", \"bbox\": [115, 57, 143, 65]}, {\"cell\": \"14 (36.8)\", \"bbox\": [155, 57, 183, 65]}, {\"cell\": \"24.682\", \"bbox\": [195, 57, 216, 65]}, {\"cell\": \"< 0.001\", \"bbox\": [222, 57, 245, 66]}, {\"cell\": \"Low QRS voltage complex\", \"bbox\": [1, 75, 55, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 75, 100, 84]}, {\"cell\": \"0 (0)\", \"bbox\": [121, 75, 137, 84]}, {\"cell\": \"0 (0)\", \"bbox\": [161, 75, 176, 84]}, {\"cell\": \"2.007\", \"bbox\": [198, 75, 216, 84]}, {\"cell\": \"0.367\", \"bbox\": [227, 75, 245, 84]}, {\"cell\": \"1st-degree heart block\", \"bbox\": [1, 94, 67, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 94, 100, 103]}, {\"cell\": \"1 (1.4)\", \"bbox\": [119, 94, 139, 103]}, {\"cell\": \"2 (5.3)\", \"bbox\": [158, 94, 179, 103]}, {\"cell\": \"1.020\", \"bbox\": [198, 94, 216, 103]}, {\"cell\": \"0.600\", \"bbox\": [227, 94, 245, 103]}, {\"cell\": \"T-wave inversion in leads II, III, aVF (inferior leads)\", \"bbox\": [1, 105, 59, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 105, 100, 113]}, {\"cell\": \"1 (1.4)\", \"bbox\": [119, 105, 139, 113]}, {\"cell\": \"6 (15.8)\", \"bbox\": [157, 105, 181, 113]}, {\"cell\": \"4.811\", \"bbox\": [198, 105, 216, 113]}, {\"cell\": \"0.090\", \"bbox\": [227, 105, 245, 113]}, {\"cell\": \"VEB\", \"bbox\": [1, 131, 17, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 131, 100, 140]}, {\"cell\": \"1 (1.4)\", \"bbox\": [119, 131, 139, 140]}, {\"cell\": \"0 (0)\", \"bbox\": [161, 131, 176, 140]}, {\"cell\": \"2.007\", \"bbox\": [198, 131, 216, 140]}, {\"cell\": \"0.367\", \"bbox\": [227, 131, 245, 140]}, {\"cell\": \"T-wave inversion in leads I, aVL,V5–V6 (lateral leads)\", \"bbox\": [1, 142, 61, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [82, 142, 97, 151]}, {\"cell\": \"2 (2.7)\", \"bbox\": [119, 142, 139, 151]}, {\"cell\": \"2 (5.3)\", \"bbox\": [158, 142, 179, 151]}, {\"cell\": \"2.027\", \"bbox\": [198, 142, 216, 151]}, {\"cell\": \"0.363\", \"bbox\": [227, 142, 245, 151]}, {\"cell\": \"LBBB\", \"bbox\": [1, 169, 21, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 169, 100, 177]}, {\"cell\": \"0 (0)\", \"bbox\": [121, 169, 137, 177]}, {\"cell\": \"0 (0)\", \"bbox\": [161, 169, 176, 177]}, {\"cell\": \"2.007\", \"bbox\": [198, 169, 216, 177]}, {\"cell\": \"0.367\", \"bbox\": [227, 169, 245, 177]}, {\"cell\": \"RBBB\", \"bbox\": [1, 180, 22, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 180, 100, 188]}, {\"cell\": \"0 (0)\", \"bbox\": [121, 180, 137, 188]}, {\"cell\": \"2 (5.3)\", \"bbox\": [158, 180, 179, 188]}, {\"cell\": \"2.020\", \"bbox\": [198, 180, 216, 188]}, {\"cell\": \"0.364\", \"bbox\": [227, 180, 245, 188]}, {\"cell\": \"LVH\", \"bbox\": [1, 190, 17, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [82, 190, 97, 199]}, {\"cell\": \"8 (11)\", \"bbox\": [120, 190, 138, 199]}, {\"cell\": \"0 (0)\", \"bbox\": [161, 190, 176, 199]}, {\"cell\": \"16.438\", \"bbox\": [195, 190, 216, 199]}, {\"cell\": \"< 0.001\", \"bbox\": [222, 190, 245, 199]}, {\"cell\": \"Sinus tachycardia\", \"bbox\": [1, 201, 54, 210]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 201, 99, 210]}, {\"cell\": \"14 (19.2)\", \"bbox\": [115, 201, 143, 210]}, {\"cell\": \"0 (0)\", \"bbox\": [161, 201, 176, 210]}, {\"cell\": \"2.020\", \"bbox\": [198, 201, 216, 210]}, {\"cell\": \"0.364\", \"bbox\": [227, 201, 245, 210]}, {\"cell\": \"ST-segment elevation\", \"bbox\": [1, 212, 65, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [82, 212, 97, 220]}, {\"cell\": \"2 (2.7)\", \"bbox\": [119, 212, 139, 220]}, {\"cell\": \"0 (0)\", \"bbox\": [161, 212, 176, 220]}, {\"cell\": \"4.027\", \"bbox\": [198, 212, 216, 220]}, {\"cell\": \"0.134\", \"bbox\": [227, 212, 245, 220]}, {\"cell\": \"Sinus bradycardia\", \"bbox\": [1, 222, 55, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [82, 222, 97, 231]}, {\"cell\": \"0 (0)\", \"bbox\": [121, 222, 137, 231]}, {\"cell\": \"2 (5.3)\", \"bbox\": [158, 222, 179, 231]}, {\"cell\": \"25.000\", \"bbox\": [195, 222, 216, 231]}, {\"cell\": \"< 0.001\", \"bbox\": [222, 223, 245, 231]}, {\"cell\": \"Mean QTc ± SD\", \"bbox\": [1, 234, 51, 242]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [72, 234, 106, 242]}, {\"cell\": \"0.41 ± 0.04\", \"bbox\": [112, 234, 146, 242]}, {\"cell\": \"0.39 ± 0.03\", \"bbox\": [152, 234, 186, 242]}, {\"cell\": \"*15.779\", \"bbox\": [191, 233, 216, 242]}, {\"cell\": \"< 0.001\", \"bbox\": [222, 234, 245, 242]}, {\"cell\": \"Prolonged QTc\", \"bbox\": [1, 244, 47, 253]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [76, 244, 103, 253]}, {\"cell\": \"12 (16.4)\", \"bbox\": [115, 244, 143, 253]}, {\"cell\": \"4 (10.5)\", \"bbox\": [157, 244, 181, 253]}, {\"cell\": \"8.784\", \"bbox\": [198, 244, 216, 253]}, {\"cell\": \"0.012\", \"bbox\": [227, 244, 245, 253]}, {\"cell\": \"Total\", \"bbox\": [1, 255, 18, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 255, 102, 263]}, {\"cell\": \"73 (100)\", \"bbox\": [116, 255, 142, 263]}, {\"cell\": \"38 (100)\", \"bbox\": [156, 255, 182, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5340894_002_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Physician only follow-upSupplemental nursing follow-upP-value
20051,223801[EMPTY_CELL]
Age (years, mean ± SD)59.8 ± 9.062.1 ± 8.3[EMPTY_CELL]
Gender (% men)47.3%50.1%[EMPTY_CELL]
Low SES (%)33.5%43.6%[EMPTY_CELL]
Immigrant (%)40.1%31.5%[EMPTY_CELL]
BMI (Kg/m2,mean ± SD)29.7 ± 5.230.1 ± 5.6[EMPTY_CELL]
At least one additional chronic disease (%)78.6%83.7%[EMPTY_CELL]
20061,172852[EMPTY_CELL]
Age (years, mean ± SD)59.8 ± 8.862.0 ± 8.6[EMPTY_CELL]
Gender (%men)48.1%48.8%[EMPTY_CELL]
Low SES (%)33.0%43.8%[EMPTY_CELL]
Immigrant (%)38.6%33.9%[EMPTY_CELL]
BMI (Kg/m2mean ± SD)29.8 ± 5.330.0 ± 5.4[EMPTY_CELL]
At least one additional chronic disease (%)78.8%83.1%[EMPTY_CELL]
20071,0191,005[EMPTY_CELL]
Age (years, mean ± SD)59.2 ± 8.662.2 ± 8.7[EMPTY_CELL]
Gender (% men)47.4%49.4%[EMPTY_CELL]
Low SES (%)33.2%42.0%[EMPTY_CELL]
Immigrant (%)41.4%31.8%[EMPTY_CELL]
BMI (Kg/m2mean ± SD)30.0 ± 5.529.8 ± 5.2[EMPTY_CELL]
At least one additional chronic disease (%)78.6%82.6%[EMPTY_CELL]
Complete 3 years follow-up1,616 (79.8%)408 (20.2%)[EMPTY_CELL]
Age (years, mean ± SD)60.0 ± 8.863.6 ± 8.2[EMPTY_CELL]
Gender (% men)52.6%49.3%[EMPTY_CELL]
Low SES (%)35.0%47.8%[EMPTY_CELL]
Immigrant (%)38.728.6%[EMPTY_CELL]
BMI BMI (Kg/m2mean ± SD)29.8 ± 5.430.1 ± 5.3[EMPTY_CELL]
At least one additional chronic disease (%)78.1%86.3%[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Physician only follow-up\", \"bbox\": [67, 4, 119, 22]}, {\"cell\": \"Supplemental nursing follow-up\", \"bbox\": [123, 4, 201, 22]}, {\"cell\": \"P-value\", \"bbox\": [205, 4, 233, 13]}, {\"cell\": \"2005\", \"bbox\": [1, 26, 19, 36]}, {\"cell\": \"1,223\", \"bbox\": [67, 26, 88, 36]}, {\"cell\": \"801\", \"bbox\": [123, 26, 137, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Age (years, mean ± SD)\", \"bbox\": [1, 40, 39, 59]}, {\"cell\": \"59.8 ± 9.0\", \"bbox\": [67, 40, 99, 50]}, {\"cell\": \"62.1 ± 8.3\", \"bbox\": [123, 40, 154, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 40, 229, 50]}, {\"cell\": \"Gender (% men)\", \"bbox\": [1, 63, 55, 73]}, {\"cell\": \"47.3%\", \"bbox\": [67, 63, 88, 73]}, {\"cell\": \"50.1%\", \"bbox\": [123, 63, 143, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 63, 224, 73]}, {\"cell\": \"Low SES (%)\", \"bbox\": [1, 77, 42, 87]}, {\"cell\": \"33.5%\", \"bbox\": [67, 77, 88, 87]}, {\"cell\": \"43.6%\", \"bbox\": [123, 77, 143, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 77, 229, 87]}, {\"cell\": \"Immigrant (%)\", \"bbox\": [1, 91, 48, 101]}, {\"cell\": \"40.1%\", \"bbox\": [67, 91, 88, 101]}, {\"cell\": \"31.5%\", \"bbox\": [123, 91, 143, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 91, 229, 101]}, {\"cell\": \"BMI (Kg/m2,mean ± SD)\", \"bbox\": [1, 103, 40, 124]}, {\"cell\": \"29.7 ± 5.2\", \"bbox\": [67, 105, 99, 115]}, {\"cell\": \"30.1 ± 5.6\", \"bbox\": [123, 105, 154, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 105, 224, 115]}, {\"cell\": \"At least one additional chronic disease (%)\", \"bbox\": [1, 128, 60, 156]}, {\"cell\": \"78.6%\", \"bbox\": [67, 128, 88, 138]}, {\"cell\": \"83.7%\", \"bbox\": [123, 128, 143, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 128, 229, 138]}, {\"cell\": \"2006\", \"bbox\": [1, 160, 19, 170]}, {\"cell\": \"1,172\", \"bbox\": [67, 160, 88, 170]}, {\"cell\": \"852\", \"bbox\": [123, 160, 137, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Age (years, mean ± SD)\", \"bbox\": [1, 174, 39, 193]}, {\"cell\": \"59.8 ± 8.8\", \"bbox\": [67, 174, 99, 184]}, {\"cell\": \"62.0 ± 8.6\", \"bbox\": [123, 174, 154, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 174, 229, 184]}, {\"cell\": \"Gender (%men)\", \"bbox\": [1, 197, 53, 207]}, {\"cell\": \"48.1%\", \"bbox\": [67, 197, 88, 207]}, {\"cell\": \"48.8%\", \"bbox\": [123, 197, 143, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 197, 224, 207]}, {\"cell\": \"Low SES (%)\", \"bbox\": [1, 211, 42, 221]}, {\"cell\": \"33.0%\", \"bbox\": [67, 211, 88, 221]}, {\"cell\": \"43.8%\", \"bbox\": [123, 211, 143, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 211, 229, 221]}, {\"cell\": \"Immigrant (%)\", \"bbox\": [1, 225, 48, 235]}, {\"cell\": \"38.6%\", \"bbox\": [67, 225, 88, 235]}, {\"cell\": \"33.9%\", \"bbox\": [123, 225, 143, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 225, 224, 235]}, {\"cell\": \"BMI (Kg/m2mean ± SD)\", \"bbox\": [1, 237, 39, 258]}, {\"cell\": \"29.8 ± 5.3\", \"bbox\": [67, 239, 99, 249]}, {\"cell\": \"30.0 ± 5.4\", \"bbox\": [123, 239, 154, 249]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 239, 224, 249]}, {\"cell\": \"At least one additional chronic disease (%)\", \"bbox\": [1, 262, 60, 290]}, {\"cell\": \"78.8%\", \"bbox\": [67, 262, 88, 272]}, {\"cell\": \"83.1%\", \"bbox\": [123, 262, 143, 272]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 262, 224, 272]}, {\"cell\": \"2007\", \"bbox\": [1, 294, 19, 304]}, {\"cell\": \"1,019\", \"bbox\": [67, 294, 88, 304]}, {\"cell\": \"1,005\", \"bbox\": [123, 294, 144, 304]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Age (years, mean ± SD)\", \"bbox\": [1, 308, 58, 327]}, {\"cell\": \"59.2 ± 8.6\", \"bbox\": [67, 308, 99, 318]}, {\"cell\": \"62.2 ± 8.7\", \"bbox\": [123, 308, 154, 318]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 308, 229, 318]}, {\"cell\": \"Gender (% men)\", \"bbox\": [1, 331, 55, 341]}, {\"cell\": \"47.4%\", \"bbox\": [67, 331, 88, 341]}, {\"cell\": \"49.4%\", \"bbox\": [123, 331, 143, 341]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 331, 224, 341]}, {\"cell\": \"Low SES (%)\", \"bbox\": [1, 345, 42, 355]}, {\"cell\": \"33.2%\", \"bbox\": [67, 345, 88, 355]}, {\"cell\": \"42.0%\", \"bbox\": [123, 345, 143, 355]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 345, 229, 355]}, {\"cell\": \"Immigrant (%)\", \"bbox\": [1, 359, 48, 369]}, {\"cell\": \"41.4%\", \"bbox\": [67, 359, 88, 369]}, {\"cell\": \"31.8%\", \"bbox\": [123, 359, 143, 369]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 359, 229, 369]}, {\"cell\": \"BMI (Kg/m2mean ± SD)\", \"bbox\": [1, 371, 39, 392]}, {\"cell\": \"30.0 ± 5.5\", \"bbox\": [67, 373, 99, 383]}, {\"cell\": \"29.8 ± 5.2\", \"bbox\": [123, 373, 154, 383]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 373, 224, 383]}, {\"cell\": \"At least one additional chronic disease (%)\", \"bbox\": [1, 396, 60, 424]}, {\"cell\": \"78.6%\", \"bbox\": [67, 396, 88, 406]}, {\"cell\": \"82.6%\", \"bbox\": [123, 396, 143, 406]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 396, 229, 406]}, {\"cell\": \"Complete 3 years follow-up\", \"bbox\": [1, 428, 63, 447]}, {\"cell\": \"1,616 (79.8%)\", \"bbox\": [67, 428, 116, 438]}, {\"cell\": \"408 (20.2%)\", \"bbox\": [123, 428, 166, 438]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Age (years, mean ± SD)\", \"bbox\": [1, 451, 39, 470]}, {\"cell\": \"60.0 ± 8.8\", \"bbox\": [67, 451, 99, 461]}, {\"cell\": \"63.6 ± 8.2\", \"bbox\": [123, 451, 154, 461]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 451, 229, 461]}, {\"cell\": \"Gender (% men)\", \"bbox\": [1, 474, 55, 484]}, {\"cell\": \"52.6%\", \"bbox\": [67, 474, 88, 484]}, {\"cell\": \"49.3%\", \"bbox\": [123, 474, 143, 484]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 474, 224, 484]}, {\"cell\": \"Low SES (%)\", \"bbox\": [1, 488, 42, 498]}, {\"cell\": \"35.0%\", \"bbox\": [67, 488, 88, 498]}, {\"cell\": \"47.8%\", \"bbox\": [123, 488, 143, 498]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 488, 229, 498]}, {\"cell\": \"Immigrant (%)\", \"bbox\": [1, 502, 48, 512]}, {\"cell\": \"38.7\", \"bbox\": [67, 502, 82, 512]}, {\"cell\": \"28.6%\", \"bbox\": [123, 502, 143, 512]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 502, 229, 512]}, {\"cell\": \"BMI BMI (Kg/m2mean ± SD)\", \"bbox\": [1, 514, 53, 535]}, {\"cell\": \"29.8 ± 5.4\", \"bbox\": [67, 516, 99, 526]}, {\"cell\": \"30.1 ± 5.3\", \"bbox\": [123, 516, 154, 526]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 516, 224, 526]}, {\"cell\": \"At least one additional chronic disease (%)\", \"bbox\": [1, 539, 60, 567]}, {\"cell\": \"78.1%\", \"bbox\": [67, 539, 88, 549]}, {\"cell\": \"86.3%\", \"bbox\": [123, 539, 143, 549]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 539, 229, 549]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4150555_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Inferior vena cava thrombusRight atrium thrombus
Surgical duration (minutes)[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]349 ± 30 (288 to 377)608 ± 169 (449 to 911)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]950 ± 100 (750 to 1,520)6540 ± 5404 (1,050 to 35,820)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]2/55/1
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]8.8 ± 3.1 (8 to 13)-
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]-32.2 ± 18.3 (4 to 54)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]3/42/4
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]-1.7 ± 0.8 (0–2)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]23.6 ± 12.5 (14 to 48)21.2 ± 4.6 (16 to 28)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]2 (ascites, 1; biloma, 1)/52 (ARF, 1; Af, 1)/4
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Inferior vena cava thrombus\", \"bbox\": [192, 4, 292, 13]}, {\"cell\": \"Right atrium thrombus\", \"bbox\": [387, 4, 469, 13]}, {\"cell\": \"Surgical duration (minutes)\", \"bbox\": [0, 17, 97, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 30, 75, 40]}, {\"cell\": \"349 ± 30 (288 to 377)\", \"bbox\": [192, 30, 264, 40]}, {\"cell\": \"608 ± 169 (449 to 911)\", \"bbox\": [387, 30, 463, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 44, 50, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 58, 80, 68]}, {\"cell\": \"950 ± 100 (750 to 1,520)\", \"bbox\": [192, 58, 272, 68]}, {\"cell\": \"6540 ± 5404 (1,050 to 35,820)\", \"bbox\": [387, 58, 484, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 72, 58, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 86, 36, 96]}, {\"cell\": \"2/5\", \"bbox\": [192, 86, 204, 96]}, {\"cell\": \"5/1\", \"bbox\": [387, 86, 400, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 100, 64, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 114, 75, 124]}, {\"cell\": \"8.8 ± 3.1 (8 to 13)\", \"bbox\": [192, 114, 251, 124]}, {\"cell\": \"-\", \"bbox\": [387, 114, 392, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 128, 64, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 142, 75, 152]}, {\"cell\": \"-\", \"bbox\": [192, 142, 196, 152]}, {\"cell\": \"32.2 ± 18.3 (4 to 54)\", \"bbox\": [387, 142, 454, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 156, 60, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 170, 36, 180]}, {\"cell\": \"3/4\", \"bbox\": [192, 170, 204, 180]}, {\"cell\": \"2/4\", \"bbox\": [387, 170, 400, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 184, 49, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 198, 75, 208]}, {\"cell\": \"-\", \"bbox\": [192, 198, 196, 208]}, {\"cell\": \"1.7 ± 0.8 (0–2)\", \"bbox\": [387, 198, 435, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 212, 64, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 226, 75, 236]}, {\"cell\": \"23.6 ± 12.5 (14 to 48)\", \"bbox\": [192, 226, 262, 236]}, {\"cell\": \"21.2 ± 4.6 (16 to 28)\", \"bbox\": [387, 226, 454, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 240, 48, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 254, 36, 264]}, {\"cell\": \"2 (ascites, 1; biloma, 1)/5\", \"bbox\": [192, 254, 272, 264]}, {\"cell\": \"2 (ARF, 1; Af, 1)/4\", \"bbox\": [387, 254, 444, 264]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3851861_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Period1990–19931994–19971998–20012002–20052006–2009
MicroorganismNo. of patientsPercentNo. of patientsPercentNo. of patientsPercentNo. of patientsPercentNo. of patientsPercent
Stapylococcus aureus2747384635[EMPTY_CELL]7453.513651.5
Coagulase-negative staphylococcus1526263228[EMPTY_CELL]51377829.5
Beta-hemolytic streptococcus478106[EMPTY_CELL]86218
Non-hemolytic streptococcus23.522.51[EMPTY_CELL]21.541.5
Enterococcus species1119101210[EMPTY_CELL]33245822
Corynebacterium species5991113[EMPTY_CELL]96.52385
E. coli23.578.510[EMPTY_CELL]75249
Enterobacter species610.5110[EMPTY_CELL]00207.5
Other Enterobactericeae1017.514179[EMPTY_CELL]41304818
Anaerobic bacteria3578.56[EMPTY_CELL]21153613.5
Candida species00111[EMPTY_CELL]0021
Other types81478.58[EMPTY_CELL]1611.54517
Total93[EMPTY_CELL]129[EMPTY_CELL]127[EMPTY_CELL]270[EMPTY_CELL]495[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Period\", \"bbox\": [3, 14, 28, 24]}, {\"cell\": \"1990–1993\", \"bbox\": [141, 14, 184, 24]}, {\"cell\": \"1994–1997\", \"bbox\": [218, 14, 261, 24]}, {\"cell\": \"1998–2001\", \"bbox\": [296, 14, 339, 24]}, {\"cell\": \"2002–2005\", \"bbox\": [379, 14, 422, 24]}, {\"cell\": \"2006–2009\", \"bbox\": [453, 14, 496, 24]}, {\"cell\": \"Microorganism\", \"bbox\": [3, 32, 58, 42]}, {\"cell\": \"No. of patients\", \"bbox\": [131, 23, 161, 42]}, {\"cell\": \"Percent\", \"bbox\": [164, 23, 193, 33]}, {\"cell\": \"No. of patients\", \"bbox\": [208, 23, 238, 42]}, {\"cell\": \"Percent\", \"bbox\": [242, 23, 271, 33]}, {\"cell\": \"No. of patients\", \"bbox\": [285, 23, 315, 42]}, {\"cell\": \"Percent\", \"bbox\": [319, 23, 348, 33]}, {\"cell\": \"No. of patients\", \"bbox\": [368, 23, 398, 42]}, {\"cell\": \"Percent\", \"bbox\": [400, 23, 429, 33]}, {\"cell\": \"No. of patients\", \"bbox\": [442, 23, 472, 42]}, {\"cell\": \"Percent\", \"bbox\": [476, 23, 505, 33]}, {\"cell\": \"Stapylococcus aureus\", \"bbox\": [3, 50, 83, 60]}, {\"cell\": \"27\", \"bbox\": [142, 50, 152, 60]}, {\"cell\": \"47\", \"bbox\": [168, 50, 178, 60]}, {\"cell\": \"38\", \"bbox\": [219, 50, 229, 60]}, {\"cell\": \"46\", \"bbox\": [247, 50, 257, 60]}, {\"cell\": \"35\", \"bbox\": [296, 50, 306, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [326, 50, 336, 60]}, {\"cell\": \"74\", \"bbox\": [379, 50, 389, 60]}, {\"cell\": \"53.5\", \"bbox\": [405, 50, 422, 60]}, {\"cell\": \"136\", \"bbox\": [451, 50, 466, 60]}, {\"cell\": \"51.5\", \"bbox\": [482, 50, 499, 60]}, {\"cell\": \"Coagulase-negative staphylococcus\", \"bbox\": [3, 59, 133, 69]}, {\"cell\": \"15\", \"bbox\": [142, 59, 152, 69]}, {\"cell\": \"26\", \"bbox\": [168, 59, 178, 69]}, {\"cell\": \"26\", \"bbox\": [219, 59, 229, 69]}, {\"cell\": \"32\", \"bbox\": [247, 59, 257, 69]}, {\"cell\": \"28\", \"bbox\": [296, 59, 306, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [326, 59, 336, 69]}, {\"cell\": \"51\", \"bbox\": [379, 59, 389, 69]}, {\"cell\": \"37\", \"bbox\": [405, 59, 415, 69]}, {\"cell\": \"78\", \"bbox\": [456, 59, 466, 69]}, {\"cell\": \"29.5\", \"bbox\": [482, 59, 499, 69]}, {\"cell\": \"Beta-hemolytic streptococcus\", \"bbox\": [3, 68, 110, 78]}, {\"cell\": \"4\", \"bbox\": [146, 68, 152, 78]}, {\"cell\": \"7\", \"bbox\": [172, 68, 178, 78]}, {\"cell\": \"8\", \"bbox\": [223, 68, 229, 78]}, {\"cell\": \"10\", \"bbox\": [247, 68, 257, 78]}, {\"cell\": \"6\", \"bbox\": [300, 68, 306, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [330, 68, 343, 78]}, {\"cell\": \"8\", \"bbox\": [383, 68, 389, 78]}, {\"cell\": \"6\", \"bbox\": [409, 68, 415, 78]}, {\"cell\": \"21\", \"bbox\": [456, 68, 466, 78]}, {\"cell\": \"8\", \"bbox\": [486, 68, 492, 78]}, {\"cell\": \"Non-hemolytic streptococcus\", \"bbox\": [3, 77, 108, 87]}, {\"cell\": \"2\", \"bbox\": [146, 77, 152, 87]}, {\"cell\": \"3.5\", \"bbox\": [172, 77, 185, 87]}, {\"cell\": \"2\", \"bbox\": [223, 77, 229, 87]}, {\"cell\": \"2.5\", \"bbox\": [251, 77, 264, 87]}, {\"cell\": \"1\", \"bbox\": [300, 77, 306, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [330, 77, 336, 87]}, {\"cell\": \"2\", \"bbox\": [383, 77, 389, 87]}, {\"cell\": \"1.5\", \"bbox\": [409, 77, 422, 87]}, {\"cell\": \"4\", \"bbox\": [460, 77, 466, 87]}, {\"cell\": \"1.5\", \"bbox\": [486, 77, 499, 87]}, {\"cell\": \"Enterococcus species\", \"bbox\": [3, 86, 83, 96]}, {\"cell\": \"11\", \"bbox\": [142, 86, 152, 96]}, {\"cell\": \"19\", \"bbox\": [168, 86, 178, 96]}, {\"cell\": \"10\", \"bbox\": [219, 86, 229, 96]}, {\"cell\": \"12\", \"bbox\": [247, 86, 257, 96]}, {\"cell\": \"10\", \"bbox\": [296, 86, 306, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [326, 86, 336, 96]}, {\"cell\": \"33\", \"bbox\": [379, 86, 389, 96]}, {\"cell\": \"24\", \"bbox\": [405, 86, 415, 96]}, {\"cell\": \"58\", \"bbox\": [456, 86, 466, 96]}, {\"cell\": \"22\", \"bbox\": [482, 86, 492, 96]}, {\"cell\": \"Corynebacterium species\", \"bbox\": [3, 95, 96, 105]}, {\"cell\": \"5\", \"bbox\": [146, 95, 152, 105]}, {\"cell\": \"9\", \"bbox\": [172, 95, 178, 105]}, {\"cell\": \"9\", \"bbox\": [223, 95, 229, 105]}, {\"cell\": \"11\", \"bbox\": [247, 95, 257, 105]}, {\"cell\": \"13\", \"bbox\": [296, 95, 306, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [326, 95, 336, 105]}, {\"cell\": \"9\", \"bbox\": [383, 95, 389, 105]}, {\"cell\": \"6.5\", \"bbox\": [409, 95, 422, 105]}, {\"cell\": \"23\", \"bbox\": [456, 95, 466, 105]}, {\"cell\": \"85\", \"bbox\": [482, 95, 492, 105]}, {\"cell\": \"E. coli\", \"bbox\": [3, 104, 27, 114]}, {\"cell\": \"2\", \"bbox\": [146, 104, 152, 114]}, {\"cell\": \"3.5\", \"bbox\": [172, 104, 185, 114]}, {\"cell\": \"7\", \"bbox\": [223, 104, 229, 114]}, {\"cell\": \"8.5\", \"bbox\": [251, 104, 264, 114]}, {\"cell\": \"10\", \"bbox\": [296, 104, 306, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [326, 104, 336, 114]}, {\"cell\": \"7\", \"bbox\": [383, 104, 389, 114]}, {\"cell\": \"5\", \"bbox\": [409, 104, 415, 114]}, {\"cell\": \"24\", \"bbox\": [456, 104, 466, 114]}, {\"cell\": \"9\", \"bbox\": [486, 104, 492, 114]}, {\"cell\": \"Enterobacter species\", \"bbox\": [3, 113, 80, 123]}, {\"cell\": \"6\", \"bbox\": [146, 113, 152, 123]}, {\"cell\": \"10.5\", \"bbox\": [168, 113, 185, 123]}, {\"cell\": \"1\", \"bbox\": [223, 113, 229, 123]}, {\"cell\": \"1\", \"bbox\": [251, 113, 257, 123]}, {\"cell\": \"0\", \"bbox\": [300, 113, 306, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [330, 113, 336, 123]}, {\"cell\": \"0\", \"bbox\": [383, 113, 389, 123]}, {\"cell\": \"0\", \"bbox\": [409, 113, 415, 123]}, {\"cell\": \"20\", \"bbox\": [456, 113, 466, 123]}, {\"cell\": \"7.5\", \"bbox\": [486, 113, 499, 123]}, {\"cell\": \"Other Enterobactericeae\", \"bbox\": [3, 122, 93, 132]}, {\"cell\": \"10\", \"bbox\": [142, 122, 152, 132]}, {\"cell\": \"17.5\", \"bbox\": [168, 122, 185, 132]}, {\"cell\": \"14\", \"bbox\": [219, 122, 229, 132]}, {\"cell\": \"17\", \"bbox\": [247, 122, 257, 132]}, {\"cell\": \"9\", \"bbox\": [300, 122, 306, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [326, 122, 336, 132]}, {\"cell\": \"41\", \"bbox\": [379, 122, 389, 132]}, {\"cell\": \"30\", \"bbox\": [405, 122, 415, 132]}, {\"cell\": \"48\", \"bbox\": [456, 122, 466, 132]}, {\"cell\": \"18\", \"bbox\": [482, 122, 492, 132]}, {\"cell\": \"Anaerobic bacteria\", \"bbox\": [3, 131, 72, 141]}, {\"cell\": \"3\", \"bbox\": [146, 131, 152, 141]}, {\"cell\": \"5\", \"bbox\": [172, 131, 178, 141]}, {\"cell\": \"7\", \"bbox\": [223, 131, 229, 141]}, {\"cell\": \"8.5\", \"bbox\": [251, 131, 264, 141]}, {\"cell\": \"6\", \"bbox\": [300, 131, 306, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [330, 131, 343, 141]}, {\"cell\": \"21\", \"bbox\": [379, 131, 389, 141]}, {\"cell\": \"15\", \"bbox\": [405, 131, 415, 141]}, {\"cell\": \"36\", \"bbox\": [456, 131, 466, 141]}, {\"cell\": \"13.5\", \"bbox\": [482, 131, 499, 141]}, {\"cell\": \"Candida species\", \"bbox\": [3, 140, 64, 150]}, {\"cell\": \"0\", \"bbox\": [146, 140, 152, 150]}, {\"cell\": \"0\", \"bbox\": [172, 140, 178, 150]}, {\"cell\": \"1\", \"bbox\": [223, 140, 229, 150]}, {\"cell\": \"1\", \"bbox\": [251, 140, 257, 150]}, {\"cell\": \"1\", \"bbox\": [300, 140, 306, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [330, 140, 336, 150]}, {\"cell\": \"0\", \"bbox\": [383, 140, 389, 150]}, {\"cell\": \"0\", \"bbox\": [409, 140, 415, 150]}, {\"cell\": \"2\", \"bbox\": [460, 140, 466, 150]}, {\"cell\": \"1\", \"bbox\": [486, 140, 492, 150]}, {\"cell\": \"Other types\", \"bbox\": [3, 149, 47, 159]}, {\"cell\": \"8\", \"bbox\": [146, 149, 152, 159]}, {\"cell\": \"14\", \"bbox\": [168, 149, 178, 159]}, {\"cell\": \"7\", \"bbox\": [223, 149, 229, 159]}, {\"cell\": \"8.5\", \"bbox\": [251, 149, 264, 159]}, {\"cell\": \"8\", \"bbox\": [300, 149, 306, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [326, 149, 336, 159]}, {\"cell\": \"16\", \"bbox\": [379, 149, 389, 159]}, {\"cell\": \"11.5\", \"bbox\": [405, 149, 422, 159]}, {\"cell\": \"45\", \"bbox\": [456, 149, 466, 159]}, {\"cell\": \"17\", \"bbox\": [482, 149, 492, 159]}, {\"cell\": \"Total\", \"bbox\": [3, 158, 22, 168]}, {\"cell\": \"93\", \"bbox\": [142, 158, 152, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"129\", \"bbox\": [214, 158, 229, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"127\", \"bbox\": [291, 158, 306, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"270\", \"bbox\": [374, 158, 389, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"495\", \"bbox\": [451, 158, 466, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3715828_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
SpeciesROIFull-Length ROIError Correction FLNC ReadsMapped Reads
[EMPTY_CELL]1,838,330884,638NA867,089
[EMPTY_CELL]3,716,6041,553,692643,330606,145
[EMPTY_CELL]240,312NA197,70991,881
[EMPTY_CELL]660,458217,954146,686 1124,509 2
[EMPTY_CELL]442,601354,39385,41682,360
[EMPTY_CELL]288,312147,362146,225145,522
[EMPTY_CELL]796,011223,368NSNA
[EMPTY_CELL]2,542,3181,096,932NA339,230
[EMPTY_CELL]290,393186,999107,60474,716
[EMPTY_CELL]395,038109,920NA107,721
[EMPTY_CELL]433,877233,464NANA
\", \"cells\": [{\"cell\": \"Species\", \"bbox\": [30, 4, 59, 14]}, {\"cell\": \"ROI\", \"bbox\": [112, 4, 130, 14]}, {\"cell\": \"Full-Length ROI\", \"bbox\": [162, 4, 226, 14]}, {\"cell\": \"Error Correction FLNC Reads\", \"bbox\": [244, 4, 355, 14]}, {\"cell\": \"Mapped Reads\", \"bbox\": [373, 4, 430, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 19, 78, 29]}, {\"cell\": \"1,838,330\", \"bbox\": [104, 19, 138, 29]}, {\"cell\": \"884,638\", \"bbox\": [180, 19, 208, 29]}, {\"cell\": \"NA\", \"bbox\": [292, 19, 307, 29]}, {\"cell\": \"867,089\", \"bbox\": [388, 19, 416, 29]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 29, 64, 39]}, {\"cell\": \"3,716,604\", \"bbox\": [104, 29, 138, 39]}, {\"cell\": \"1,553,692\", \"bbox\": [177, 29, 211, 39]}, {\"cell\": \"643,330\", \"bbox\": [285, 29, 314, 39]}, {\"cell\": \"606,145\", \"bbox\": [388, 29, 416, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [17, 38, 72, 49]}, {\"cell\": \"240,312\", \"bbox\": [107, 38, 135, 49]}, {\"cell\": \"NA\", \"bbox\": [187, 38, 202, 49]}, {\"cell\": \"197,709\", \"bbox\": [285, 38, 314, 49]}, {\"cell\": \"91,881\", \"bbox\": [390, 38, 414, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 48, 80, 59]}, {\"cell\": \"660,458\", \"bbox\": [107, 49, 135, 59]}, {\"cell\": \"217,954\", \"bbox\": [180, 49, 208, 59]}, {\"cell\": \"146,686 1\", \"bbox\": [283, 47, 316, 59]}, {\"cell\": \"124,509 2\", \"bbox\": [385, 47, 418, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 59, 74, 69]}, {\"cell\": \"442,601\", \"bbox\": [107, 59, 135, 69]}, {\"cell\": \"354,393\", \"bbox\": [180, 59, 208, 69]}, {\"cell\": \"85,416\", \"bbox\": [287, 59, 312, 69]}, {\"cell\": \"82,360\", \"bbox\": [390, 59, 414, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [18, 68, 71, 79]}, {\"cell\": \"288,312\", \"bbox\": [107, 68, 135, 79]}, {\"cell\": \"147,362\", \"bbox\": [180, 68, 208, 79]}, {\"cell\": \"146,225\", \"bbox\": [285, 68, 314, 79]}, {\"cell\": \"145,522\", \"bbox\": [388, 68, 416, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 78, 76, 89]}, {\"cell\": \"796,011\", \"bbox\": [107, 78, 135, 89]}, {\"cell\": \"223,368\", \"bbox\": [180, 78, 208, 89]}, {\"cell\": \"NS\", \"bbox\": [293, 78, 306, 89]}, {\"cell\": \"NA\", \"bbox\": [394, 78, 409, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [32, 88, 57, 98]}, {\"cell\": \"2,542,318\", \"bbox\": [104, 88, 138, 98]}, {\"cell\": \"1,096,932\", \"bbox\": [177, 88, 211, 98]}, {\"cell\": \"NA\", \"bbox\": [292, 88, 307, 98]}, {\"cell\": \"339,230\", \"bbox\": [388, 88, 416, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [24, 98, 65, 108]}, {\"cell\": \"290,393\", \"bbox\": [107, 98, 135, 108]}, {\"cell\": \"186,999\", \"bbox\": [180, 98, 208, 108]}, {\"cell\": \"107,604\", \"bbox\": [285, 98, 314, 108]}, {\"cell\": \"74,716\", \"bbox\": [390, 98, 414, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 108, 64, 118]}, {\"cell\": \"395,038\", \"bbox\": [107, 108, 135, 118]}, {\"cell\": \"109,920\", \"bbox\": [180, 108, 208, 118]}, {\"cell\": \"NA\", \"bbox\": [292, 108, 307, 118]}, {\"cell\": \"107,721\", \"bbox\": [388, 108, 416, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [24, 118, 66, 128]}, {\"cell\": \"433,877\", \"bbox\": [107, 118, 135, 128]}, {\"cell\": \"233,464\", \"bbox\": [180, 118, 208, 128]}, {\"cell\": \"NA\", \"bbox\": [292, 118, 307, 128]}, {\"cell\": \"NA\", \"bbox\": [394, 118, 409, 128]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5793194_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Music group N = 39Control group N = 35P value
Pain during procedure (mm VAS)32.4 (24.3)31.6 (27.3)[EMPTY_CELL]
Pain after procedure (mm VAS)23.6 (21.5)27.6 (25.6)[EMPTY_CELL]
Heart rate during procedure (bpm)82.4 (16.1)82.7 (15.1)[EMPTY_CELL]
Patient recommends a friend (%)9588[EMPTY_CELL]
Patient satisfaction (%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Very satisfied7779[EMPTY_CELL]
Satisfied1515[EMPTY_CELL]
Normal33[EMPTY_CELL]
Dissatisfied50[EMPTY_CELL]
Very dissatisfied03[EMPTY_CELL]
Doctor refuses same procedure in same setting for this patient (%)53[EMPTY_CELL]
Satisfaction doctor (%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Very satisfied7479[EMPTY_CELL]
Satisfied1815[EMPTY_CELL]
Normal56[EMPTY_CELL]
Dissatisfied30[EMPTY_CELL]
Very dissatisfied00[EMPTY_CELL]
Complications (%)00[EMPTY_CELL]
STAI 1 score after procedure38.4 (15.3)35.5 (9.6)[EMPTY_CELL]
STAI 1 score difference3.8 (14.4)7.5 (10.2)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Music group N = 39\", \"bbox\": [90, 4, 132, 22]}, {\"cell\": \"Control group N = 35\", \"bbox\": [149, 4, 196, 22]}, {\"cell\": \"P value\", \"bbox\": [211, 4, 236, 13]}, {\"cell\": \"Pain during procedure (mm VAS)\", \"bbox\": [1, 26, 75, 45]}, {\"cell\": \"32.4 (24.3)\", \"bbox\": [90, 26, 124, 36]}, {\"cell\": \"31.6 (27.3)\", \"bbox\": [149, 26, 183, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 26, 230, 36]}, {\"cell\": \"Pain after procedure (mm VAS)\", \"bbox\": [1, 49, 68, 68]}, {\"cell\": \"23.6 (21.5)\", \"bbox\": [90, 49, 124, 59]}, {\"cell\": \"27.6 (25.6)\", \"bbox\": [149, 49, 183, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 49, 230, 59]}, {\"cell\": \"Heart rate during procedure (bpm)\", \"bbox\": [1, 72, 58, 91]}, {\"cell\": \"82.4 (16.1)\", \"bbox\": [90, 72, 124, 82]}, {\"cell\": \"82.7 (15.1)\", \"bbox\": [149, 72, 183, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 72, 230, 82]}, {\"cell\": \"Patient recommends a friend (%)\", \"bbox\": [1, 95, 69, 114]}, {\"cell\": \"95\", \"bbox\": [90, 95, 100, 105]}, {\"cell\": \"88\", \"bbox\": [149, 95, 158, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 95, 230, 105]}, {\"cell\": \"Patient satisfaction (%)\", \"bbox\": [1, 118, 75, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 118, 230, 128]}, {\"cell\": \" Very satisfied\", \"bbox\": [8, 132, 52, 142]}, {\"cell\": \"77\", \"bbox\": [90, 132, 100, 142]}, {\"cell\": \"79\", \"bbox\": [149, 132, 158, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Satisfied\", \"bbox\": [8, 146, 37, 156]}, {\"cell\": \"15\", \"bbox\": [90, 146, 100, 156]}, {\"cell\": \"15\", \"bbox\": [149, 146, 158, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Normal\", \"bbox\": [8, 160, 34, 170]}, {\"cell\": \"3\", \"bbox\": [90, 160, 96, 170]}, {\"cell\": \"3\", \"bbox\": [149, 160, 154, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Dissatisfied\", \"bbox\": [8, 174, 46, 184]}, {\"cell\": \"5\", \"bbox\": [90, 174, 96, 184]}, {\"cell\": \"0\", \"bbox\": [149, 174, 154, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Very dissatisfied\", \"bbox\": [8, 188, 61, 198]}, {\"cell\": \"0\", \"bbox\": [90, 188, 96, 198]}, {\"cell\": \"3\", \"bbox\": [149, 188, 154, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Doctor refuses same procedure in same setting for this patient (%)\", \"bbox\": [1, 202, 86, 230]}, {\"cell\": \"5\", \"bbox\": [90, 202, 96, 212]}, {\"cell\": \"3\", \"bbox\": [149, 202, 154, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 202, 230, 212]}, {\"cell\": \"Satisfaction doctor (%)\", \"bbox\": [1, 234, 74, 244]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 234, 230, 244]}, {\"cell\": \" Very satisfied\", \"bbox\": [8, 248, 52, 258]}, {\"cell\": \"74\", \"bbox\": [90, 248, 100, 258]}, {\"cell\": \"79\", \"bbox\": [149, 248, 158, 258]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Satisfied\", \"bbox\": [8, 262, 37, 272]}, {\"cell\": \"18\", \"bbox\": [90, 262, 100, 272]}, {\"cell\": \"15\", \"bbox\": [149, 262, 158, 272]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Normal\", \"bbox\": [8, 276, 34, 286]}, {\"cell\": \"5\", \"bbox\": [90, 276, 96, 286]}, {\"cell\": \"6\", \"bbox\": [149, 276, 154, 286]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Dissatisfied\", \"bbox\": [8, 290, 46, 299]}, {\"cell\": \"3\", \"bbox\": [90, 290, 96, 299]}, {\"cell\": \"0\", \"bbox\": [149, 290, 154, 299]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Very dissatisfied\", \"bbox\": [8, 304, 61, 313]}, {\"cell\": \"0\", \"bbox\": [90, 304, 96, 313]}, {\"cell\": \"0\", \"bbox\": [149, 304, 154, 313]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Complications (%)\", \"bbox\": [1, 318, 60, 327]}, {\"cell\": \"0\", \"bbox\": [90, 318, 96, 327]}, {\"cell\": \"0\", \"bbox\": [149, 318, 154, 327]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 318, 222, 327]}, {\"cell\": \"STAI 1 score after procedure\", \"bbox\": [1, 332, 58, 351]}, {\"cell\": \"38.4 (15.3)\", \"bbox\": [90, 332, 124, 341]}, {\"cell\": \"35.5 (9.6)\", \"bbox\": [149, 332, 179, 341]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 332, 230, 341]}, {\"cell\": \"STAI 1 score difference\", \"bbox\": [1, 355, 76, 365]}, {\"cell\": \"3.8 (14.4)\", \"bbox\": [90, 355, 120, 365]}, {\"cell\": \"7.5 (10.2)\", \"bbox\": [149, 355, 179, 365]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 355, 230, 365]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5570770_005_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Total (N=252; 100%)
[EMPTY_CELL]MeanSD
Age[EMPTY_CELL]9.3
Working years[EMPTY_CELL]10.1
Working years at this CHS[EMPTY_CELL]9.2
Salary (1,000 dong/month)[EMPTY_CELL]607.2
[EMPTY_CELL][EMPTY_CELL]%
Male[EMPTY_CELL]26.0
Professional degree[EMPTY_CELL][EMPTY_CELL]
Specialized MD[EMPTY_CELL]2.4
MD[EMPTY_CELL]11.9
Nurses and technicians[EMPTY_CELL]85.7
Training place[EMPTY_CELL][EMPTY_CELL]
Hanoi[EMPTY_CELL]26.6
Ha Tay[EMPTY_CELL]50.8
Others[EMPTY_CELL]22.6
Areas of work[EMPTY_CELL][EMPTY_CELL]
Treatment[EMPTY_CELL]34.5
Paraclinical[EMPTY_CELL]3.6
Pharmacy[EMPTY_CELL]11.1
Preventive medicine[EMPTY_CELL]18.7
Management[EMPTY_CELL]13.9
Other[EMPTY_CELL]18.3
Areas of expertise[EMPTY_CELL][EMPTY_CELL]
General[EMPTY_CELL]51.8
Major specialty[EMPTY_CELL]22.7
Minor specialty[EMPTY_CELL]17.8
Others[EMPTY_CELL]7.7
Have job description[EMPTY_CELL]61.1
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Total (N=252; 100%)\", \"bbox\": [134, 8, 213, 18]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Mean\", \"bbox\": [131, 29, 153, 38]}, {\"cell\": \"SD\", \"bbox\": [197, 29, 209, 38]}, {\"cell\": \"Age\", \"bbox\": [1, 49, 17, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 49, 156, 58]}, {\"cell\": \"9.3\", \"bbox\": [201, 49, 214, 58]}, {\"cell\": \"Working years\", \"bbox\": [1, 61, 53, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 61, 156, 70]}, {\"cell\": \"10.1\", \"bbox\": [196, 61, 214, 70]}, {\"cell\": \"Working years at this CHS\", \"bbox\": [1, 73, 97, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 73, 156, 82]}, {\"cell\": \"9.2\", \"bbox\": [201, 73, 214, 82]}, {\"cell\": \"Salary (1,000 dong/month)\", \"bbox\": [1, 85, 97, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [128, 85, 156, 94]}, {\"cell\": \"607.2\", \"bbox\": [192, 85, 214, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [138, 100, 146, 108]}, {\"cell\": \"%\", \"bbox\": [200, 100, 210, 109]}, {\"cell\": \"Male\", \"bbox\": [1, 112, 20, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 112, 150, 121]}, {\"cell\": \"26.0\", \"bbox\": [196, 112, 214, 121]}, {\"cell\": \"Professional degree\", \"bbox\": [1, 124, 73, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Specialized MD\", \"bbox\": [8, 136, 67, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 136, 150, 145]}, {\"cell\": \"2.4\", \"bbox\": [201, 136, 214, 145]}, {\"cell\": \" MD\", \"bbox\": [8, 148, 23, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 148, 150, 157]}, {\"cell\": \"11.9\", \"bbox\": [196, 148, 214, 157]}, {\"cell\": \" Nurses and technicians\", \"bbox\": [8, 160, 95, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 160, 150, 169]}, {\"cell\": \"85.7\", \"bbox\": [196, 160, 214, 169]}, {\"cell\": \"Training place\", \"bbox\": [1, 171, 52, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Hanoi\", \"bbox\": [8, 183, 31, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 183, 150, 193]}, {\"cell\": \"26.6\", \"bbox\": [196, 183, 214, 193]}, {\"cell\": \" Ha Tay\", \"bbox\": [8, 195, 35, 205]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 195, 150, 205]}, {\"cell\": \"50.8\", \"bbox\": [196, 195, 214, 205]}, {\"cell\": \" Others\", \"bbox\": [8, 207, 34, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 207, 150, 217]}, {\"cell\": \"22.6\", \"bbox\": [196, 207, 214, 217]}, {\"cell\": \"Areas of work\", \"bbox\": [1, 219, 52, 229]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Treatment\", \"bbox\": [8, 231, 46, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 231, 150, 241]}, {\"cell\": \"34.5\", \"bbox\": [196, 231, 214, 241]}, {\"cell\": \" Paraclinical\", \"bbox\": [8, 243, 51, 253]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 243, 150, 253]}, {\"cell\": \"3.6\", \"bbox\": [201, 243, 214, 253]}, {\"cell\": \" Pharmacy\", \"bbox\": [8, 255, 46, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 255, 150, 265]}, {\"cell\": \"11.1\", \"bbox\": [196, 255, 214, 265]}, {\"cell\": \" Preventive medicine\", \"bbox\": [8, 267, 83, 277]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 267, 150, 277]}, {\"cell\": \"18.7\", \"bbox\": [196, 267, 214, 277]}, {\"cell\": \" Management\", \"bbox\": [8, 279, 57, 289]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 279, 150, 289]}, {\"cell\": \"13.9\", \"bbox\": [196, 279, 214, 289]}, {\"cell\": \" Other\", \"bbox\": [8, 291, 30, 301]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 291, 150, 301]}, {\"cell\": \"18.3\", \"bbox\": [196, 291, 214, 301]}, {\"cell\": \"Areas of expertise\", \"bbox\": [1, 303, 68, 312]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" General\", \"bbox\": [8, 315, 38, 324]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 315, 150, 324]}, {\"cell\": \"51.8\", \"bbox\": [196, 315, 214, 324]}, {\"cell\": \" Major specialty\", \"bbox\": [8, 327, 65, 336]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 327, 150, 336]}, {\"cell\": \"22.7\", \"bbox\": [196, 327, 214, 336]}, {\"cell\": \" Minor specialty\", \"bbox\": [8, 339, 65, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 339, 150, 348]}, {\"cell\": \"17.8\", \"bbox\": [196, 339, 214, 348]}, {\"cell\": \" Others\", \"bbox\": [8, 351, 34, 360]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 351, 150, 360]}, {\"cell\": \"7.7\", \"bbox\": [201, 351, 214, 360]}, {\"cell\": \"Have job description\", \"bbox\": [1, 363, 77, 372]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 363, 150, 372]}, {\"cell\": \"61.1\", \"bbox\": [196, 363, 214, 372]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3561598_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]200120032005
Age in years a41.6 (40.4–42.8)[EMPTY_CELL]44.7 (44.0–45.3)
Female sex b77.9 (72.8–83.0%)[EMPTY_CELL]76.8 (74.0–79.6%)
Lives with partner b74.0 (68.2–79.8 %)[EMPTY_CELL]64.7 (61.5–67.9%)
Group I b32.3 (26.5–38.1%)[EMPTY_CELL]42.9 (39.6–46.2%)
Group II b40.9 (34.9–46.9%)[EMPTY_CELL]36.7 (33.5–39.9%)
Group III b26.8 (21.4–32.2%)[EMPTY_CELL]20.4 (17.7–23.1%)
Indefinite contract b51.5 (45.4–57.6%)[EMPTY_CELL]47.0 (43.7–50.3%)
Urban team b89.2 (85.4–93.0%)[EMPTY_CELL]88.1 (79.1–84.3%)
Management responsibilities b34.2 (28.1 40.3%)[EMPTY_CELL]32.4 (29.3–35.5%)
Morning shift b53.5 (47.4–59.6%)[EMPTY_CELL]48.4 (45.1–51.7%)
Years in Area a10.4 (9.5–11.3)[EMPTY_CELL]11.2 (10.8–11.7)
High care pressure b37.3 (29.8–44.8%)[EMPTY_CELL]53.7 (50.0–57.4%)
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2001\", \"bbox\": [129, 4, 148, 14]}, {\"cell\": \"2003\", \"bbox\": [254, 4, 272, 14]}, {\"cell\": \"2005\", \"bbox\": [379, 4, 397, 14]}, {\"cell\": \"Age in years a\", \"bbox\": [4, 26, 52, 36]}, {\"cell\": \"41.6 (40.4–42.8)\", \"bbox\": [129, 27, 185, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [254, 27, 310, 36]}, {\"cell\": \"44.7 (44.0–45.3)\", \"bbox\": [379, 27, 435, 36]}, {\"cell\": \"Female sex b\", \"bbox\": [4, 37, 49, 47]}, {\"cell\": \"77.9 (72.8–83.0%)\", \"bbox\": [129, 37, 191, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [254, 37, 316, 47]}, {\"cell\": \"76.8 (74.0–79.6%)\", \"bbox\": [379, 37, 440, 47]}, {\"cell\": \"Lives with partner b\", \"bbox\": [4, 47, 72, 57]}, {\"cell\": \"74.0 (68.2–79.8 %)\", \"bbox\": [129, 47, 193, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [254, 47, 316, 57]}, {\"cell\": \"64.7 (61.5–67.9%)\", \"bbox\": [379, 47, 440, 57]}, {\"cell\": \"Group I b\", \"bbox\": [4, 57, 38, 67]}, {\"cell\": \"32.3 (26.5–38.1%)\", \"bbox\": [129, 57, 191, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [254, 57, 316, 67]}, {\"cell\": \"42.9 (39.6–46.2%)\", \"bbox\": [379, 57, 440, 67]}, {\"cell\": \"Group II b\", \"bbox\": [4, 67, 40, 77]}, {\"cell\": \"40.9 (34.9–46.9%)\", \"bbox\": [129, 68, 191, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [254, 68, 316, 77]}, {\"cell\": \"36.7 (33.5–39.9%)\", \"bbox\": [379, 68, 440, 77]}, {\"cell\": \"Group III b\", \"bbox\": [4, 78, 42, 88]}, {\"cell\": \"26.8 (21.4–32.2%)\", \"bbox\": [129, 78, 191, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [254, 78, 316, 88]}, {\"cell\": \"20.4 (17.7–23.1%)\", \"bbox\": [379, 78, 440, 88]}, {\"cell\": \"Indefinite contract b\", \"bbox\": [4, 88, 73, 98]}, {\"cell\": \"51.5 (45.4–57.6%)\", \"bbox\": [129, 88, 191, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [254, 88, 316, 98]}, {\"cell\": \"47.0 (43.7–50.3%)\", \"bbox\": [379, 88, 440, 98]}, {\"cell\": \"Urban team b\", \"bbox\": [4, 98, 51, 108]}, {\"cell\": \"89.2 (85.4–93.0%)\", \"bbox\": [129, 98, 191, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [254, 98, 316, 108]}, {\"cell\": \"88.1 (79.1–84.3%)\", \"bbox\": [379, 98, 440, 108]}, {\"cell\": \"Management responsibilities b\", \"bbox\": [4, 108, 106, 118]}, {\"cell\": \"34.2 (28.1 40.3%)\", \"bbox\": [129, 109, 189, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [254, 109, 314, 118]}, {\"cell\": \"32.4 (29.3–35.5%)\", \"bbox\": [379, 109, 440, 118]}, {\"cell\": \"Morning shift b\", \"bbox\": [4, 119, 56, 129]}, {\"cell\": \"53.5 (47.4–59.6%)\", \"bbox\": [129, 119, 191, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [254, 119, 316, 129]}, {\"cell\": \"48.4 (45.1–51.7%)\", \"bbox\": [379, 119, 440, 129]}, {\"cell\": \"Years in Area a\", \"bbox\": [4, 129, 57, 139]}, {\"cell\": \"10.4 (9.5–11.3)\", \"bbox\": [129, 129, 181, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [254, 129, 310, 139]}, {\"cell\": \"11.2 (10.8–11.7)\", \"bbox\": [379, 129, 435, 139]}, {\"cell\": \"High care pressure b\", \"bbox\": [4, 139, 75, 149]}, {\"cell\": \"37.3 (29.8–44.8%)\", \"bbox\": [129, 139, 191, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [254, 139, 316, 149]}, {\"cell\": \"53.7 (50.0–57.4%)\", \"bbox\": [379, 139, 440, 149]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC1933419_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Univariable analysisMultivariable analysisa
HRp Value95% CIHRp Value95% CI
Age (≥65 years)0.720[EMPTY_CELL]0.326–1.59[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Sex (male)2.22[EMPTY_CELL]0.522–9.42[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Histologic type (non-SCC)3.11[EMPTY_CELL]1.337–7.2322.570.0291.10–6.02
ypStage (≥3)4.14[EMPTY_CELL]1.95–8.805.73<0.011.94–16.7
Therapeutic effect0.611[EMPTY_CELL]0.416–0.898[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Albumin1.12[EMPTY_CELL]0.952–1.32[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
CRP0.213[EMPTY_CELL]0.028–1.63[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
BMI (≥20)0.836[EMPTY_CELL]0.378–1.85[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Sarcopenia2.56[EMPTY_CELL]0.604–10.8[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Weight loss rate0.937[EMPTY_CELL]0.877–1.00[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Skeletal muscle wasting1.19[EMPTY_CELL]1.06–1.341.160.0151.03–1.31
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Univariable analysis\", \"bbox\": [133, 5, 205, 15]}, {\"cell\": \"Multivariable analysisa\", \"bbox\": [339, 3, 420, 15]}, {\"cell\": \"HR\", \"bbox\": [133, 22, 146, 31]}, {\"cell\": \"p Value\", \"bbox\": [191, 22, 220, 31]}, {\"cell\": \"95% CI\", \"bbox\": [258, 22, 286, 31]}, {\"cell\": \"HR\", \"bbox\": [339, 22, 353, 31]}, {\"cell\": \"p Value\", \"bbox\": [393, 22, 423, 31]}, {\"cell\": \"95% CI\", \"bbox\": [460, 22, 489, 31]}, {\"cell\": \"Age (≥65 years)\", \"bbox\": [1, 40, 61, 50]}, {\"cell\": \"0.720\", \"bbox\": [133, 40, 154, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [197, 40, 218, 50]}, {\"cell\": \"0.326–1.59\", \"bbox\": [258, 40, 298, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Sex (male)\", \"bbox\": [1, 53, 40, 63]}, {\"cell\": \"2.22\", \"bbox\": [133, 53, 149, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [197, 53, 218, 63]}, {\"cell\": \"0.522–9.42\", \"bbox\": [258, 53, 298, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Histologic type (non-SCC)\", \"bbox\": [1, 66, 95, 76]}, {\"cell\": \"3.11\", \"bbox\": [133, 66, 149, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 66, 213, 76]}, {\"cell\": \"1.337–7.232\", \"bbox\": [258, 66, 302, 76]}, {\"cell\": \"2.57\", \"bbox\": [339, 66, 356, 76]}, {\"cell\": \"0.029\", \"bbox\": [393, 66, 414, 76]}, {\"cell\": \"1.10–6.02\", \"bbox\": [460, 66, 496, 76]}, {\"cell\": \"ypStage (≥3)\", \"bbox\": [1, 79, 49, 88]}, {\"cell\": \"4.14\", \"bbox\": [133, 79, 149, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 79, 213, 88]}, {\"cell\": \"1.95–8.80\", \"bbox\": [262, 79, 298, 88]}, {\"cell\": \"5.73\", \"bbox\": [339, 79, 356, 88]}, {\"cell\": \"<0.01\", \"bbox\": [392, 79, 416, 88]}, {\"cell\": \"1.94–16.7\", \"bbox\": [460, 79, 496, 88]}, {\"cell\": \"Therapeutic effect\", \"bbox\": [1, 92, 65, 101]}, {\"cell\": \"0.611\", \"bbox\": [133, 92, 154, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [197, 92, 218, 101]}, {\"cell\": \"0.416–0.898\", \"bbox\": [258, 92, 302, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Albumin\", \"bbox\": [1, 104, 33, 114]}, {\"cell\": \"1.12\", \"bbox\": [133, 104, 149, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [197, 104, 218, 114]}, {\"cell\": \"0.952–1.32\", \"bbox\": [258, 104, 298, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CRP\", \"bbox\": [1, 117, 18, 127]}, {\"cell\": \"0.213\", \"bbox\": [133, 117, 154, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [197, 117, 218, 127]}, {\"cell\": \"0.028–1.63\", \"bbox\": [258, 117, 298, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"BMI (≥20)\", \"bbox\": [1, 130, 42, 139]}, {\"cell\": \"0.836\", \"bbox\": [133, 130, 154, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [197, 130, 218, 139]}, {\"cell\": \"0.378–1.85\", \"bbox\": [258, 130, 298, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Sarcopenia\", \"bbox\": [1, 142, 40, 152]}, {\"cell\": \"2.56\", \"bbox\": [133, 142, 149, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [197, 142, 218, 152]}, {\"cell\": \"0.604–10.8\", \"bbox\": [258, 142, 298, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Weight loss rate\", \"bbox\": [1, 155, 59, 165]}, {\"cell\": \"0.937\", \"bbox\": [133, 155, 154, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [197, 155, 218, 165]}, {\"cell\": \"0.877–1.00\", \"bbox\": [258, 155, 298, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Skeletal muscle wasting\", \"bbox\": [1, 168, 86, 178]}, {\"cell\": \"1.19\", \"bbox\": [133, 168, 149, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 168, 213, 178]}, {\"cell\": \"1.06–1.34\", \"bbox\": [262, 168, 298, 178]}, {\"cell\": \"1.16\", \"bbox\": [339, 168, 356, 178]}, {\"cell\": \"0.015\", \"bbox\": [393, 168, 414, 178]}, {\"cell\": \"1.03–1.31\", \"bbox\": [460, 168, 496, 178]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5658455_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Number, n (%)
[EMPTY_CELL]All sampleChildren ≤ 5 years
N = 223N = 112
Age1(years)[EMPTY_CELL]1.7 [0.1–5]
Female[EMPTY_CELL]45 (40.2)
Symptoms reported by patients[EMPTY_CELL][EMPTY_CELL]
Fever[EMPTY_CELL]30 (26.8)
Vomiting[EMPTY_CELL]45 (41.3)
Dehydration[EMPTY_CELL]27 (26.0)
Abdominal pain[EMPTY_CELL]64 (60.9)
Weakness[EMPTY_CELL]32 (32.6)
Acute diarrhea (≤ 7 days)[EMPTY_CELL]86 (76.8)
Duration of diarrhea1(days)[EMPTY_CELL]4.6 [0–28]
Hospitalization[EMPTY_CELL]12 (10.7)
Aspect of stools[EMPTY_CELL][EMPTY_CELL]
Loose[EMPTY_CELL]45 (40.2)
Semi-formed[EMPTY_CELL]33 (29.5)
Formed[EMPTY_CELL]2 (1.8)
Blood[EMPTY_CELL]8 (7.1)
Mucus[EMPTY_CELL]50 (44.6)
Period[EMPTY_CELL][EMPTY_CELL]
Rainy season[EMPTY_CELL]65 (58)
Dry season[EMPTY_CELL]47 (42)
Confirmed enteric infection[EMPTY_CELL]46 (41.1)
Bacterial infection[EMPTY_CELL]27 (24.1)
Viral infection2[EMPTY_CELL]37 (33.3)
Parasitic infection[EMPTY_CELL]13 (11.6)
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Number, n (%)\", \"bbox\": [151, 4, 203, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"All sample\", \"bbox\": [120, 17, 158, 27]}, {\"cell\": \"Children ≤ 5 years\", \"bbox\": [173, 17, 236, 27]}, {\"cell\": \"N = 223\", \"bbox\": [125, 26, 153, 36]}, {\"cell\": \"N = 112\", \"bbox\": [191, 26, 219, 36]}, {\"cell\": \"Age1(years)\", \"bbox\": [0, 38, 40, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [118, 39, 160, 49]}, {\"cell\": \"1.7 [0.1–5]\", \"bbox\": [188, 39, 222, 49]}, {\"cell\": \"Female\", \"bbox\": [1, 53, 26, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [122, 53, 155, 63]}, {\"cell\": \"45 (40.2)\", \"bbox\": [190, 53, 219, 63]}, {\"cell\": \"Symptoms reported by patients\", \"bbox\": [1, 67, 104, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Fever\", \"bbox\": [11, 81, 30, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 81, 153, 91]}, {\"cell\": \"30 (26.8)\", \"bbox\": [190, 81, 219, 91]}, {\"cell\": \"Vomiting\", \"bbox\": [10, 95, 41, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 95, 153, 105]}, {\"cell\": \"45 (41.3)\", \"bbox\": [190, 95, 219, 105]}, {\"cell\": \"Dehydration\", \"bbox\": [10, 109, 52, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 109, 153, 119]}, {\"cell\": \"27 (26.0)\", \"bbox\": [190, 109, 219, 119]}, {\"cell\": \"Abdominal pain\", \"bbox\": [10, 123, 63, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [122, 123, 155, 133]}, {\"cell\": \"64 (60.9)\", \"bbox\": [190, 123, 219, 133]}, {\"cell\": \"Weakness\", \"bbox\": [10, 137, 43, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 137, 153, 147]}, {\"cell\": \"32 (32.6)\", \"bbox\": [190, 137, 219, 147]}, {\"cell\": \"Acute diarrhea (≤ 7 days)\", \"bbox\": [1, 151, 84, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [122, 151, 155, 161]}, {\"cell\": \"86 (76.8)\", \"bbox\": [190, 151, 219, 161]}, {\"cell\": \"Duration of diarrhea1(days)\", \"bbox\": [1, 164, 91, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [122, 165, 155, 175]}, {\"cell\": \"4.6 [0–28]\", \"bbox\": [188, 165, 221, 175]}, {\"cell\": \"Hospitalization\", \"bbox\": [1, 179, 49, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 179, 153, 189]}, {\"cell\": \"12 (10.7)\", \"bbox\": [190, 179, 219, 189]}, {\"cell\": \"Aspect of stools\", \"bbox\": [1, 193, 54, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Loose\", \"bbox\": [10, 207, 31, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 207, 153, 217]}, {\"cell\": \"45 (40.2)\", \"bbox\": [190, 207, 219, 217]}, {\"cell\": \"Semi-formed\", \"bbox\": [10, 221, 53, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 221, 153, 231]}, {\"cell\": \"33 (29.5)\", \"bbox\": [190, 221, 219, 231]}, {\"cell\": \"Formed\", \"bbox\": [10, 235, 37, 245]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [128, 235, 149, 245]}, {\"cell\": \"2 (1.8)\", \"bbox\": [194, 235, 215, 245]}, {\"cell\": \"Blood\", \"bbox\": [10, 249, 31, 259]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 249, 153, 259]}, {\"cell\": \"8 (7.1)\", \"bbox\": [194, 249, 215, 259]}, {\"cell\": \"Mucus\", \"bbox\": [10, 263, 33, 273]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 263, 153, 273]}, {\"cell\": \"50 (44.6)\", \"bbox\": [190, 263, 219, 273]}, {\"cell\": \"Period\", \"bbox\": [1, 277, 23, 287]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Rainy season\", \"bbox\": [11, 291, 54, 301]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [122, 291, 155, 301]}, {\"cell\": \"65 (58)\", \"bbox\": [193, 291, 217, 301]}, {\"cell\": \"Dry season\", \"bbox\": [10, 305, 47, 315]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 305, 153, 315]}, {\"cell\": \"47 (42)\", \"bbox\": [193, 305, 217, 315]}, {\"cell\": \"Confirmed enteric infection\", \"bbox\": [1, 319, 91, 329]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 319, 153, 329]}, {\"cell\": \"46 (41.1)\", \"bbox\": [190, 319, 219, 329]}, {\"cell\": \"Bacterial infection\", \"bbox\": [10, 333, 69, 343]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 333, 153, 343]}, {\"cell\": \"27 (24.1)\", \"bbox\": [190, 333, 219, 343]}, {\"cell\": \"Viral infection2\", \"bbox\": [10, 346, 58, 357]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 347, 153, 357]}, {\"cell\": \"37 (33.3)\", \"bbox\": [190, 347, 219, 357]}, {\"cell\": \"Parasitic infection\", \"bbox\": [10, 361, 68, 371]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 361, 153, 371]}, {\"cell\": \"13 (11.6)\", \"bbox\": [190, 361, 219, 371]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3893462_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
CharacteristicTotalHIV PositiveUnivariateMultivariate
[EMPTY_CELL]n (%)[EMPTY_CELL]No n (%)OR (95% CI)aOR (95% CI)
Not always wearing condoms with men88 (47.6%)[EMPTY_CELL]70 (79.5%)1.9 (1.0-3.7), *2.3 (1.0-5.4),**
Received money for Transactional Sex24 (12.0%)[EMPTY_CELL]13 (54.2%)2.9 (1.2-6.9),*NS
Having been blackmailed21 (10.5%)[EMPTY_CELL]12 (57.1%)2.4 (1.0-6.2) (p = 0.06)4,4 (1.3-15.4), *
Having been raped22 (11.0%)[EMPTY_CELL]11 (50.0%)3.5 (1.4-8.5),**5.7 (1.6-20.2) **
Higher number of male partners (>5)35(17.7%)[EMPTY_CELL]20 (57.1%)2.8.(1.3-6.1), **NS
More than 26 years old77 (38.5%)[EMPTY_CELL]51 (66.2%)2.0 (1.1 - 3.8), *4.2 (1.6-10.6),**
Unemployment79 (39.7%)[EMPTY_CELL]52 (65.8%)2.2 (1.1-4.2), *3.7 (1.5-9.3),**
Less Educated20 (10.0%)[EMPTY_CELL]10 (50.0%)3.4 (1.3.-8.8), *NS
Rural Origin102 (53.6%)[EMPTY_CELL]38 (37.3)%)4.1 (2.0-8.8),**6.0 ( 2.2-16.7), **
\", \"cells\": [{\"cell\": \"Characteristic\", \"bbox\": [1, 4, 49, 13]}, {\"cell\": \"Total\", \"bbox\": [152, 4, 171, 13]}, {\"cell\": \"HIV Positive\", \"bbox\": [211, 4, 254, 13]}, {\"cell\": \"Univariate\", \"bbox\": [322, 4, 360, 13]}, {\"cell\": \"Multivariate\", \"bbox\": [414, 4, 457, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"n (%)\", \"bbox\": [152, 17, 172, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 17, 246, 26]}, {\"cell\": \"No n (%)\", \"bbox\": [265, 17, 298, 26]}, {\"cell\": \"OR (95% CI)\", \"bbox\": [322, 17, 366, 26]}, {\"cell\": \"aOR (95% CI)\", \"bbox\": [414, 17, 462, 26]}, {\"cell\": \"Not always wearing condoms with men\", \"bbox\": [1, 30, 132, 40]}, {\"cell\": \"88 (47.6%)\", \"bbox\": [152, 30, 187, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 30, 246, 40]}, {\"cell\": \"70 (79.5%)\", \"bbox\": [265, 30, 300, 40]}, {\"cell\": \"1.9 (1.0-3.7), *\", \"bbox\": [322, 30, 367, 40]}, {\"cell\": \"2.3 (1.0-5.4),**\", \"bbox\": [414, 30, 459, 40]}, {\"cell\": \"Received money for Transactional Sex\", \"bbox\": [1, 44, 125, 53]}, {\"cell\": \"24 (12.0%)\", \"bbox\": [152, 44, 187, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 44, 246, 53]}, {\"cell\": \"13 (54.2%)\", \"bbox\": [265, 44, 300, 53]}, {\"cell\": \"2.9 (1.2-6.9),*\", \"bbox\": [322, 44, 365, 53]}, {\"cell\": \"NS\", \"bbox\": [414, 44, 425, 53]}, {\"cell\": \"Having been blackmailed\", \"bbox\": [1, 57, 84, 66]}, {\"cell\": \"21 (10.5%)\", \"bbox\": [152, 57, 187, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 57, 242, 66]}, {\"cell\": \"12 (57.1%)\", \"bbox\": [265, 57, 300, 66]}, {\"cell\": \"2.4 (1.0-6.2) (p = 0.06)\", \"bbox\": [322, 57, 394, 66]}, {\"cell\": \"4,4 (1.3-15.4), *\", \"bbox\": [414, 57, 463, 66]}, {\"cell\": \"Having been raped\", \"bbox\": [1, 70, 65, 79]}, {\"cell\": \"22 (11.0%)\", \"bbox\": [152, 70, 187, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 70, 246, 79]}, {\"cell\": \"11 (50.0%)\", \"bbox\": [265, 70, 300, 79]}, {\"cell\": \"3.5 (1.4-8.5),**\", \"bbox\": [322, 70, 368, 79]}, {\"cell\": \"5.7 (1.6-20.2) **\", \"bbox\": [414, 70, 465, 79]}, {\"cell\": \"Higher number of male partners (>5)\", \"bbox\": [1, 83, 123, 93]}, {\"cell\": \"35(17.7%)\", \"bbox\": [152, 83, 184, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 83, 246, 93]}, {\"cell\": \"20 (57.1%)\", \"bbox\": [266, 83, 300, 93]}, {\"cell\": \"2.8.(1.3-6.1), **\", \"bbox\": [322, 83, 369, 93]}, {\"cell\": \"NS\", \"bbox\": [414, 83, 425, 93]}, {\"cell\": \"More than 26 years old\", \"bbox\": [1, 96, 78, 106]}, {\"cell\": \"77 (38.5%)\", \"bbox\": [152, 96, 187, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 96, 246, 106]}, {\"cell\": \"51 (66.2%)\", \"bbox\": [265, 96, 300, 106]}, {\"cell\": \"2.0 (1.1 - 3.8), *\", \"bbox\": [322, 96, 373, 106]}, {\"cell\": \"4.2 (1.6-10.6),**\", \"bbox\": [414, 96, 463, 106]}, {\"cell\": \"Unemployment\", \"bbox\": [1, 110, 53, 119]}, {\"cell\": \"79 (39.7%)\", \"bbox\": [152, 110, 187, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 110, 246, 119]}, {\"cell\": \"52 (65.8%)\", \"bbox\": [265, 110, 300, 119]}, {\"cell\": \"2.2 (1.1-4.2), *\", \"bbox\": [322, 110, 367, 119]}, {\"cell\": \"3.7 (1.5-9.3),**\", \"bbox\": [414, 110, 459, 119]}, {\"cell\": \"Less Educated\", \"bbox\": [1, 123, 48, 132]}, {\"cell\": \"20 (10.0%)\", \"bbox\": [152, 123, 187, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 123, 246, 132]}, {\"cell\": \"10 (50.0%)\", \"bbox\": [266, 123, 300, 132]}, {\"cell\": \"3.4 (1.3.-8.8), *\", \"bbox\": [322, 123, 369, 132]}, {\"cell\": \"NS\", \"bbox\": [414, 123, 425, 132]}, {\"cell\": \"Rural Origin\", \"bbox\": [1, 136, 40, 145]}, {\"cell\": \"102 (53.6%)\", \"bbox\": [152, 136, 191, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 136, 246, 145]}, {\"cell\": \"38 (37.3)%)\", \"bbox\": [266, 136, 303, 145]}, {\"cell\": \"4.1 (2.0-8.8),**\", \"bbox\": [322, 136, 368, 145]}, {\"cell\": \"6.0 ( 2.2-16.7), **\", \"bbox\": [414, 136, 469, 145]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3196714_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Overall (n=7,007)Government (n=894)NGO (n=5,849)Private (n=264)
[EMPTY_CELL]n(%)n(%)n(%)n[EMPTY_CELL]
Married6728(96.0)863(96.5)5655(96.7)210[EMPTY_CELL]
Rural residence3997(57.0)325(36.4)3592(61.4)80[EMPTY_CELL]
Literate5215(74.4)615(68.8)4364(74.6)236[EMPTY_CELL]
Education[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
None1792(25.6)279(31.2)1485(25.4)28[EMPTY_CELL]
Primary or some secondary3010(43.0)244(27.3)2657(45.4)109[EMPTY_CELL]
School Leaving Certificate or higher2205(31.5)371(41.5)1707(29.2)127[EMPTY_CELL]
[EMPTY_CELL]Mean(sd)Mean(sd)Mean(sd)Mean[EMPTY_CELL]
Age, years26.9(5.80)27.2(5.68)26.9(5.79)26.0[EMPTY_CELL]
Gravidity3.2(1.63)3.1(1.40)3.3(1.66)2.5[EMPTY_CELL]
Parity1.8(1.36)1.9(1.28)1.9(1.37)1.2[EMPTY_CELL]
Pregnancy duration, weeks[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Last menstrual period (n=6539)7.1(1.64)7.3(1.46)7.0(1.66)7.3[EMPTY_CELL]
Clinical exam (n = 6307)7.4(1.75)7.6(1.54)7.4(1.78)7.3[EMPTY_CELL]
Ultrasound (n = 25)7.9(1.96)7.7(1.89)8.7(2.52)8.5[EMPTY_CELL]
[EMPTY_CELL]n(%)n(%)n(%)n[EMPTY_CELL]
Prophylactic administration of antibiotics5277(75.3)809(90.5)4217(72.1)251[EMPTY_CELL]
Post-abortion contraceptive method[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
No method accepted1328(19.0)134(15.0)1180(20.2)14[EMPTY_CELL]
Condom2715(38.8)103(11.5)2555(43.7)57[EMPTY_CELL]
Depo Provera1461(20.9)343(38.4)1022(17.5)96[EMPTY_CELL]
Pills1035(14.8)175(19.6)790(13.5)70[EMPTY_CELL]
Norplant136(1.9)11(1.2)124(2.1)1[EMPTY_CELL]
IUD/IUCD237(3.4)76(8.5)140(2.4)21[EMPTY_CELL]
Sterilization95(1.4)52(5.8)38(0.7)5[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Overall (n=7,007)\", \"bbox\": [148, 4, 209, 13]}, {\"cell\": \"Government (n=894)\", \"bbox\": [233, 4, 307, 13]}, {\"cell\": \"NGO (n=5,849)\", \"bbox\": [332, 4, 385, 13]}, {\"cell\": \"Private (n=264)\", \"bbox\": [409, 4, 464, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"n\", \"bbox\": [181, 17, 188, 26]}, {\"cell\": \"(%)\", \"bbox\": [192, 17, 205, 26]}, {\"cell\": \"n\", \"bbox\": [273, 17, 280, 26]}, {\"cell\": \"(%)\", \"bbox\": [284, 17, 297, 26]}, {\"cell\": \"n\", \"bbox\": [361, 17, 367, 26]}, {\"cell\": \"(%)\", \"bbox\": [371, 17, 385, 26]}, {\"cell\": \"n\", \"bbox\": [439, 17, 446, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 17, 463, 26]}, {\"cell\": \"Married\", \"bbox\": [1, 30, 27, 40]}, {\"cell\": \"6728\", \"bbox\": [170, 30, 188, 40]}, {\"cell\": \"(96.0)\", \"bbox\": [192, 30, 210, 40]}, {\"cell\": \"863\", \"bbox\": [266, 30, 280, 40]}, {\"cell\": \"(96.5)\", \"bbox\": [284, 30, 302, 40]}, {\"cell\": \"5655\", \"bbox\": [350, 30, 368, 40]}, {\"cell\": \"(96.7)\", \"bbox\": [371, 30, 390, 40]}, {\"cell\": \"210\", \"bbox\": [432, 30, 446, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 30, 469, 40]}, {\"cell\": \"Rural residence\", \"bbox\": [1, 44, 51, 53]}, {\"cell\": \"3997\", \"bbox\": [170, 44, 188, 53]}, {\"cell\": \"(57.0)\", \"bbox\": [192, 44, 210, 53]}, {\"cell\": \"325\", \"bbox\": [266, 44, 280, 53]}, {\"cell\": \"(36.4)\", \"bbox\": [284, 44, 302, 53]}, {\"cell\": \"3592\", \"bbox\": [350, 44, 368, 53]}, {\"cell\": \"(61.4)\", \"bbox\": [371, 44, 390, 53]}, {\"cell\": \"80\", \"bbox\": [436, 44, 446, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 44, 469, 53]}, {\"cell\": \"Literate\", \"bbox\": [1, 57, 26, 66]}, {\"cell\": \"5215\", \"bbox\": [170, 57, 188, 66]}, {\"cell\": \"(74.4)\", \"bbox\": [192, 57, 210, 66]}, {\"cell\": \"615\", \"bbox\": [266, 57, 280, 66]}, {\"cell\": \"(68.8)\", \"bbox\": [284, 57, 302, 66]}, {\"cell\": \"4364\", \"bbox\": [350, 57, 368, 66]}, {\"cell\": \"(74.6)\", \"bbox\": [371, 57, 390, 66]}, {\"cell\": \"236\", \"bbox\": [432, 57, 446, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 57, 469, 66]}, {\"cell\": \"Education\", \"bbox\": [1, 70, 34, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" None\", \"bbox\": [15, 83, 35, 93]}, {\"cell\": \"1792\", \"bbox\": [170, 83, 188, 93]}, {\"cell\": \"(25.6)\", \"bbox\": [192, 83, 210, 93]}, {\"cell\": \"279\", \"bbox\": [266, 83, 280, 93]}, {\"cell\": \"(31.2)\", \"bbox\": [284, 83, 302, 93]}, {\"cell\": \"1485\", \"bbox\": [350, 83, 368, 93]}, {\"cell\": \"(25.4)\", \"bbox\": [371, 83, 390, 93]}, {\"cell\": \"28\", \"bbox\": [436, 83, 446, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 83, 469, 93]}, {\"cell\": \" Primary or some secondary\", \"bbox\": [15, 96, 105, 106]}, {\"cell\": \"3010\", \"bbox\": [170, 96, 188, 106]}, {\"cell\": \"(43.0)\", \"bbox\": [192, 96, 210, 106]}, {\"cell\": \"244\", \"bbox\": [266, 96, 280, 106]}, {\"cell\": \"(27.3)\", \"bbox\": [284, 96, 302, 106]}, {\"cell\": \"2657\", \"bbox\": [350, 96, 368, 106]}, {\"cell\": \"(45.4)\", \"bbox\": [371, 96, 390, 106]}, {\"cell\": \"109\", \"bbox\": [432, 96, 446, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 96, 469, 106]}, {\"cell\": \" School Leaving Certificate or higher\", \"bbox\": [15, 110, 133, 119]}, {\"cell\": \"2205\", \"bbox\": [170, 110, 188, 119]}, {\"cell\": \"(31.5)\", \"bbox\": [191, 110, 210, 119]}, {\"cell\": \"371\", \"bbox\": [266, 110, 280, 119]}, {\"cell\": \"(41.5)\", \"bbox\": [284, 110, 302, 119]}, {\"cell\": \"1707\", \"bbox\": [350, 110, 368, 119]}, {\"cell\": \"(29.2)\", \"bbox\": [371, 110, 390, 119]}, {\"cell\": \"127\", \"bbox\": [432, 110, 446, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 110, 469, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Mean\", \"bbox\": [166, 123, 188, 131]}, {\"cell\": \"(sd)\", \"bbox\": [191, 123, 206, 131]}, {\"cell\": \"Mean\", \"bbox\": [259, 123, 280, 131]}, {\"cell\": \"(sd)\", \"bbox\": [284, 123, 298, 131]}, {\"cell\": \"Mean\", \"bbox\": [346, 123, 368, 131]}, {\"cell\": \"(sd)\", \"bbox\": [371, 123, 386, 131]}, {\"cell\": \"Mean\", \"bbox\": [425, 123, 446, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 123, 464, 131]}, {\"cell\": \"Age, years\", \"bbox\": [1, 136, 35, 145]}, {\"cell\": \"26.9\", \"bbox\": [173, 136, 188, 145]}, {\"cell\": \"(5.80)\", \"bbox\": [191, 136, 210, 145]}, {\"cell\": \"27.2\", \"bbox\": [265, 136, 280, 145]}, {\"cell\": \"(5.68)\", \"bbox\": [284, 136, 302, 145]}, {\"cell\": \"26.9\", \"bbox\": [353, 136, 367, 145]}, {\"cell\": \"(5.79)\", \"bbox\": [371, 136, 390, 145]}, {\"cell\": \"26.0\", \"bbox\": [431, 136, 446, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 136, 469, 145]}, {\"cell\": \"Gravidity\", \"bbox\": [1, 149, 30, 159]}, {\"cell\": \"3.2\", \"bbox\": [177, 149, 188, 159]}, {\"cell\": \"(1.63)\", \"bbox\": [192, 149, 210, 159]}, {\"cell\": \"3.1\", \"bbox\": [269, 149, 280, 159]}, {\"cell\": \"(1.40)\", \"bbox\": [284, 149, 302, 159]}, {\"cell\": \"3.3\", \"bbox\": [357, 149, 367, 159]}, {\"cell\": \"(1.66)\", \"bbox\": [371, 149, 390, 159]}, {\"cell\": \"2.5\", \"bbox\": [435, 149, 446, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 149, 469, 159]}, {\"cell\": \"Parity\", \"bbox\": [1, 162, 20, 172]}, {\"cell\": \"1.8\", \"bbox\": [177, 162, 188, 172]}, {\"cell\": \"(1.36)\", \"bbox\": [192, 162, 210, 172]}, {\"cell\": \"1.9\", \"bbox\": [269, 162, 280, 172]}, {\"cell\": \"(1.28)\", \"bbox\": [284, 162, 302, 172]}, {\"cell\": \"1.9\", \"bbox\": [357, 162, 367, 172]}, {\"cell\": \"(1.37)\", \"bbox\": [371, 162, 390, 172]}, {\"cell\": \"1.2\", \"bbox\": [435, 162, 446, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 162, 469, 172]}, {\"cell\": \"Pregnancy duration, weeks\", \"bbox\": [1, 176, 89, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Last menstrual period (n=6539)\", \"bbox\": [15, 189, 118, 198]}, {\"cell\": \"7.1\", \"bbox\": [177, 189, 188, 198]}, {\"cell\": \"(1.64)\", \"bbox\": [192, 189, 210, 198]}, {\"cell\": \"7.3\", \"bbox\": [269, 189, 280, 198]}, {\"cell\": \"(1.46)\", \"bbox\": [284, 189, 302, 198]}, {\"cell\": \"7.0\", \"bbox\": [357, 189, 367, 198]}, {\"cell\": \"(1.66)\", \"bbox\": [371, 189, 390, 198]}, {\"cell\": \"7.3\", \"bbox\": [435, 189, 446, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 189, 469, 198]}, {\"cell\": \" Clinical exam (n = 6307)\", \"bbox\": [15, 202, 96, 211]}, {\"cell\": \"7.4\", \"bbox\": [177, 202, 188, 211]}, {\"cell\": \"(1.75)\", \"bbox\": [192, 202, 210, 211]}, {\"cell\": \"7.6\", \"bbox\": [269, 202, 280, 211]}, {\"cell\": \"(1.54)\", \"bbox\": [284, 202, 303, 211]}, {\"cell\": \"7.4\", \"bbox\": [357, 202, 368, 211]}, {\"cell\": \"(1.78)\", \"bbox\": [371, 202, 390, 211]}, {\"cell\": \"7.3\", \"bbox\": [435, 202, 446, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 202, 469, 211]}, {\"cell\": \" Ultrasound (n = 25)\", \"bbox\": [15, 215, 81, 225]}, {\"cell\": \"7.9\", \"bbox\": [177, 215, 188, 225]}, {\"cell\": \"(1.96)\", \"bbox\": [192, 215, 210, 225]}, {\"cell\": \"7.7\", \"bbox\": [269, 215, 280, 225]}, {\"cell\": \"(1.89)\", \"bbox\": [284, 215, 302, 225]}, {\"cell\": \"8.7\", \"bbox\": [357, 215, 367, 225]}, {\"cell\": \"(2.52)\", \"bbox\": [371, 215, 390, 225]}, {\"cell\": \"8.5\", \"bbox\": [435, 215, 446, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 215, 469, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"n\", \"bbox\": [181, 228, 188, 237]}, {\"cell\": \"(%)\", \"bbox\": [192, 228, 205, 237]}, {\"cell\": \"n\", \"bbox\": [273, 228, 280, 237]}, {\"cell\": \"(%)\", \"bbox\": [284, 228, 297, 237]}, {\"cell\": \"n\", \"bbox\": [361, 228, 367, 237]}, {\"cell\": \"(%)\", \"bbox\": [371, 228, 385, 237]}, {\"cell\": \"n\", \"bbox\": [439, 228, 446, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 228, 463, 237]}, {\"cell\": \"Prophylactic administration of antibiotics\", \"bbox\": [1, 242, 134, 251]}, {\"cell\": \"5277\", \"bbox\": [170, 242, 188, 251]}, {\"cell\": \"(75.3)\", \"bbox\": [192, 242, 210, 251]}, {\"cell\": \"809\", \"bbox\": [266, 242, 280, 251]}, {\"cell\": \"(90.5)\", \"bbox\": [284, 242, 302, 251]}, {\"cell\": \"4217\", \"bbox\": [350, 242, 368, 251]}, {\"cell\": \"(72.1)\", \"bbox\": [371, 242, 390, 251]}, {\"cell\": \"251\", \"bbox\": [432, 242, 446, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 242, 469, 251]}, {\"cell\": \"Post-abortion contraceptive method\", \"bbox\": [1, 255, 119, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" No method accepted\", \"bbox\": [15, 268, 87, 277]}, {\"cell\": \"1328\", \"bbox\": [170, 268, 188, 277]}, {\"cell\": \"(19.0)\", \"bbox\": [192, 268, 210, 277]}, {\"cell\": \"134\", \"bbox\": [266, 268, 280, 277]}, {\"cell\": \"(15.0)\", \"bbox\": [284, 268, 302, 277]}, {\"cell\": \"1180\", \"bbox\": [350, 268, 368, 277]}, {\"cell\": \"(20.2)\", \"bbox\": [371, 268, 390, 277]}, {\"cell\": \"14\", \"bbox\": [436, 268, 446, 277]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 268, 465, 277]}, {\"cell\": \" Condom\", \"bbox\": [15, 281, 45, 291]}, {\"cell\": \"2715\", \"bbox\": [170, 281, 188, 291]}, {\"cell\": \"(38.8)\", \"bbox\": [192, 281, 210, 291]}, {\"cell\": \"103\", \"bbox\": [266, 281, 280, 291]}, {\"cell\": \"(11.5)\", \"bbox\": [284, 281, 302, 291]}, {\"cell\": \"2555\", \"bbox\": [350, 281, 368, 291]}, {\"cell\": \"(43.7)\", \"bbox\": [371, 281, 390, 291]}, {\"cell\": \"57\", \"bbox\": [436, 281, 446, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 281, 469, 291]}, {\"cell\": \" Depo Provera\", \"bbox\": [15, 294, 61, 304]}, {\"cell\": \"1461\", \"bbox\": [170, 294, 188, 304]}, {\"cell\": \"(20.9)\", \"bbox\": [192, 294, 210, 304]}, {\"cell\": \"343\", \"bbox\": [266, 294, 280, 304]}, {\"cell\": \"(38.4)\", \"bbox\": [284, 294, 302, 304]}, {\"cell\": \"1022\", \"bbox\": [350, 294, 368, 304]}, {\"cell\": \"(17.5)\", \"bbox\": [371, 294, 390, 304]}, {\"cell\": \"96\", \"bbox\": [436, 294, 446, 304]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 294, 469, 304]}, {\"cell\": \" Pills\", \"bbox\": [15, 308, 29, 317]}, {\"cell\": \"1035\", \"bbox\": [170, 308, 188, 317]}, {\"cell\": \"(14.8)\", \"bbox\": [192, 308, 210, 317]}, {\"cell\": \"175\", \"bbox\": [266, 308, 280, 317]}, {\"cell\": \"(19.6)\", \"bbox\": [284, 308, 302, 317]}, {\"cell\": \"790\", \"bbox\": [354, 308, 367, 317]}, {\"cell\": \"(13.5)\", \"bbox\": [371, 308, 390, 317]}, {\"cell\": \"70\", \"bbox\": [436, 308, 446, 317]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 308, 469, 317]}, {\"cell\": \" Norplant\", \"bbox\": [15, 321, 45, 330]}, {\"cell\": \"136\", \"bbox\": [174, 321, 188, 330]}, {\"cell\": \"(1.9)\", \"bbox\": [192, 321, 207, 330]}, {\"cell\": \"11\", \"bbox\": [270, 321, 280, 330]}, {\"cell\": \"(1.2)\", \"bbox\": [284, 321, 299, 330]}, {\"cell\": \"124\", \"bbox\": [354, 321, 367, 330]}, {\"cell\": \"(2.1)\", \"bbox\": [371, 321, 387, 330]}, {\"cell\": \"1\", \"bbox\": [440, 321, 446, 330]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 321, 465, 330]}, {\"cell\": \" IUD/IUCD\", \"bbox\": [15, 334, 48, 343]}, {\"cell\": \"237\", \"bbox\": [174, 334, 188, 343]}, {\"cell\": \"(3.4)\", \"bbox\": [192, 334, 207, 343]}, {\"cell\": \"76\", \"bbox\": [270, 334, 280, 343]}, {\"cell\": \"(8.5)\", \"bbox\": [284, 334, 299, 343]}, {\"cell\": \"140\", \"bbox\": [354, 334, 368, 343]}, {\"cell\": \"(2.4)\", \"bbox\": [371, 334, 387, 343]}, {\"cell\": \"21\", \"bbox\": [436, 334, 446, 343]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 334, 465, 343]}, {\"cell\": \" Sterilization\", \"bbox\": [15, 347, 54, 357]}, {\"cell\": \"95\", \"bbox\": [178, 347, 188, 357]}, {\"cell\": \"(1.4)\", \"bbox\": [192, 347, 207, 357]}, {\"cell\": \"52\", \"bbox\": [270, 347, 280, 357]}, {\"cell\": \"(5.8)\", \"bbox\": [284, 347, 299, 357]}, {\"cell\": \"38\", \"bbox\": [358, 347, 367, 357]}, {\"cell\": \"(0.7)\", \"bbox\": [371, 347, 387, 357]}, {\"cell\": \"5\", \"bbox\": [440, 347, 446, 357]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 347, 465, 357]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3315730_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
CharacteristicsFrequency (%) and median (IQR)
County hospital (n=234)Township hospital (n=480)Total (n=714)
Access to blood culture150 (64.1)[EMPTY_CELL]407 (57.0)
Medical expense for illness† (median, IQR)263.9 (190.8, 389)[EMPTY_CELL]264 (180.1, 424.2)
Percentage of reimbursement for all types of payment (%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
0–10193 (82.5)[EMPTY_CELL]389 (54.5)
11–5021 (9)[EMPTY_CELL]261 (36.6)
51–10020 (8.5)[EMPTY_CELL]64 (9)
\", \"cells\": [{\"cell\": \"Characteristics\", \"bbox\": [6, 17, 69, 28]}, {\"cell\": \"Frequency (%) and median (IQR)\", \"bbox\": [239, 4, 379, 16]}, {\"cell\": \"County hospital (n=234)\", \"bbox\": [186, 18, 256, 41]}, {\"cell\": \"Township hospital (n=480)\", \"bbox\": [270, 18, 349, 41]}, {\"cell\": \"Total (n=714)\", \"bbox\": [368, 24, 426, 35]}, {\"cell\": \"Access to blood culture\", \"bbox\": [6, 43, 104, 55]}, {\"cell\": \"150 (64.1)\", \"bbox\": [199, 43, 243, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [287, 43, 331, 55]}, {\"cell\": \"407 (57.0)\", \"bbox\": [375, 43, 419, 55]}, {\"cell\": \"Medical expense for illness† (median, IQR)\", \"bbox\": [6, 57, 173, 69]}, {\"cell\": \"263.9 (190.8, 389)\", \"bbox\": [183, 57, 260, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [270, 57, 348, 69]}, {\"cell\": \"264 (180.1, 424.2)\", \"bbox\": [358, 57, 436, 69]}, {\"cell\": \"Percentage of reimbursement for all types of payment (%)\", \"bbox\": [6, 71, 156, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0–10\", \"bbox\": [11, 96, 32, 108]}, {\"cell\": \"193 (82.5)\", \"bbox\": [199, 96, 243, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [287, 96, 331, 108]}, {\"cell\": \"389 (54.5)\", \"bbox\": [375, 96, 419, 108]}, {\"cell\": \"11–50\", \"bbox\": [11, 109, 37, 120]}, {\"cell\": \"21 (9)\", \"bbox\": [208, 109, 235, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [291, 109, 328, 120]}, {\"cell\": \"261 (36.6)\", \"bbox\": [375, 109, 419, 120]}, {\"cell\": \"51–100\", \"bbox\": [11, 122, 42, 133]}, {\"cell\": \"20 (8.5)\", \"bbox\": [204, 122, 238, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [292, 122, 326, 133]}, {\"cell\": \"64 (9)\", \"bbox\": [384, 122, 410, 133]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2975846_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
First authorYearCountryEthnicitySample sizeCasesControls
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]CasesControlsε2/2ε2/3ε2/4ε3/3ε3/4ε4/4ε2/2ε2/3ε2/4ε3/3ε3/4ε4/4
Vickers2002AustraliaOther14251687784212[EMPTY_CELL]23062
Lake2004UKCaucasian15534911610913163[EMPTY_CELL]13208817
Mabuchi2005JapanAsian31017901422593500[EMPTY_CELL]0123380
Fan2005ChinaAsian40028107452804010[EMPTY_CELL]8189440
Lam2006ChinaAsian40030007452804010[EMPTY_CELL]8203470
Tamura2006JapanAsian287702116812[EMPTY_CELL]16160
Zetterberg2007SwedenCaucasian24218714261454442[EMPTY_CELL]4110352
Saglar2009TurkeyCaucasian75119012153810[EMPTY_CELL]188192
Jia2009ChinaAsian17620022551122931[EMPTY_CELL]4136282
\", \"cells\": [{\"cell\": \"First author\", \"bbox\": [1, 15, 39, 27]}, {\"cell\": \"Year\", \"bbox\": [55, 15, 71, 27]}, {\"cell\": \"Country\", \"bbox\": [85, 15, 112, 27]}, {\"cell\": \"Ethnicity\", \"bbox\": [132, 15, 161, 27]}, {\"cell\": \"Sample size\", \"bbox\": [187, 14, 226, 26]}, {\"cell\": \"Cases\", \"bbox\": [256, 14, 277, 26]}, {\"cell\": \"Controls\", \"bbox\": [376, 14, 405, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Cases\", \"bbox\": [187, 26, 208, 38]}, {\"cell\": \"Controls\", \"bbox\": [216, 26, 244, 38]}, {\"cell\": \"ε2/2\", \"bbox\": [256, 26, 270, 38]}, {\"cell\": \"ε2/3\", \"bbox\": [274, 26, 288, 38]}, {\"cell\": \"ε2/4\", \"bbox\": [293, 26, 308, 38]}, {\"cell\": \"ε3/3\", \"bbox\": [313, 26, 327, 38]}, {\"cell\": \"ε3/4\", \"bbox\": [338, 26, 353, 38]}, {\"cell\": \"ε4/4\", \"bbox\": [358, 26, 372, 38]}, 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Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Latent threat identifiedImplemented change
Insufficient knowledge and skills to use an intraosseous needle[EMPTY_CELL]
Deficient team performance regarding leadership, role allocation and resuscitation calls[EMPTY_CELL]
Insufficient handover (lack of information, information unclear, not structured)[EMPTY_CELL]
Fixation resulting in a loss of awareness of time during critical events at the emergency department[EMPTY_CELL]
Failures and time delay to drawn up adrenaline (epinephrine)[EMPTY_CELL]
Insufficient resuscitation equipment at the wards and the emergency department for adults[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Latent threat identified\", \"bbox\": [1, 4, 76, 13]}, {\"cell\": \"Implemented change\", \"bbox\": [259, 4, 331, 13]}, {\"cell\": \"Insufficient knowledge and skills to use an intraosseous needle\", \"bbox\": [1, 17, 204, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [259, 17, 435, 27]}, {\"cell\": \"Deficient team performance regarding leadership, role allocation and resuscitation calls\", \"bbox\": [1, 31, 210, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [259, 31, 467, 50]}, {\"cell\": \"Insufficient handover (lack of information, information unclear, not structured)\", \"bbox\": [1, 54, 202, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [259, 54, 484, 73]}, {\"cell\": \"Fixation resulting in a loss of awareness of time during critical events at the emergency department\", \"bbox\": [1, 77, 201, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [259, 77, 464, 87]}, {\"cell\": \"Failures and time delay to drawn up adrenaline (epinephrine)\", \"bbox\": [1, 100, 200, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [259, 100, 475, 119]}, {\"cell\": \"Insufficient resuscitation equipment at the wards and the emergency department for adults\", \"bbox\": [1, 123, 225, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [259, 123, 471, 142]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4625566_006_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Full population (excluding those with regular visits) (n = 20,041)Regular visits sub-cohort (n = 9812)
Age, mean years (SD)57.9 (13.4)[EMPTY_CELL]
Sex, n female (%)15,193 (76.3)[EMPTY_CELL]
Duration of RA, mean years (SD)9.1 (9.7)[EMPTY_CELL]
Disabled, n (%)2439 (12.3)[EMPTY_CELL]
Patient paina, mean score (SD)34.6 (27.7)[EMPTY_CELL]
TJC28, mean n (SD)4.6 (6.2)[EMPTY_CELL]
SJC28, mean n (SD)4.5 (5.6)[EMPTY_CELL]
PtGA, mean score (SD)32.0 (26.7)[EMPTY_CELL]
PGA, mean score (SD)25.7 (21.9)[EMPTY_CELL]
CDAI, mean score (SD)14.8 (13.3)[EMPTY_CELL]
CDAI category, n (%)
Low (score >2.8 to ≤10)9435 (47.1)[EMPTY_CELL]
Moderate (score >10 to ≤22)5674 (28.3)[EMPTY_CELL]
Severe (score >22)4929 (24.6)[EMPTY_CELL]
History of biologic DMARD use, n (%)9411 (47.0)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Full population (excluding those with regular visits) (n = 20,041)\", \"bbox\": [180, 4, 346, 22]}, {\"cell\": \"Regular visits sub-cohort (n = 9812)\", \"bbox\": [404, 4, 484, 22]}, {\"cell\": \"Age, mean years (SD)\", \"bbox\": [1, 26, 71, 36]}, {\"cell\": \"57.9 (13.4)\", \"bbox\": [180, 26, 214, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 26, 438, 36]}, {\"cell\": \"Sex, n female (%)\", \"bbox\": [1, 40, 57, 50]}, {\"cell\": \"15,193 (76.3)\", \"bbox\": [180, 40, 222, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 40, 441, 50]}, {\"cell\": \"Duration of RA, mean years (SD)\", \"bbox\": [1, 54, 106, 64]}, {\"cell\": \"9.1 (9.7)\", \"bbox\": [180, 54, 206, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 54, 431, 64]}, {\"cell\": \"Disabled, n (%)\", \"bbox\": [1, 68, 50, 78]}, {\"cell\": \"2439 (12.3)\", \"bbox\": [180, 68, 216, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 68, 441, 78]}, {\"cell\": \"Patient paina, mean score (SD)\", \"bbox\": [1, 80, 100, 92]}, {\"cell\": \"34.6 (27.7)\", \"bbox\": [180, 82, 214, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 82, 438, 92]}, {\"cell\": \"TJC28, mean n (SD)\", \"bbox\": [1, 96, 65, 106]}, {\"cell\": \"4.6 (6.2)\", \"bbox\": [180, 96, 206, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 96, 431, 106]}, {\"cell\": \"SJC28, mean n (SD)\", \"bbox\": [1, 110, 65, 120]}, {\"cell\": \"4.5 (5.6)\", \"bbox\": [180, 110, 206, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 110, 431, 120]}, {\"cell\": \"PtGA, mean score (SD)\", \"bbox\": [1, 124, 75, 134]}, {\"cell\": \"32.0 (26.7)\", \"bbox\": [180, 124, 214, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 124, 438, 134]}, {\"cell\": \"PGA, mean score (SD)\", \"bbox\": [1, 138, 72, 148]}, {\"cell\": \"25.7 (21.9)\", \"bbox\": [180, 138, 214, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 138, 438, 148]}, {\"cell\": \"CDAI, mean score (SD)\", \"bbox\": [1, 152, 75, 162]}, {\"cell\": \"14.8 (13.3)\", \"bbox\": [180, 152, 214, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 152, 438, 162]}, {\"cell\": \"CDAI category, n (%)\", \"bbox\": [1, 166, 69, 176]}, {\"cell\": \" Low (score >2.8 to ≤10)\", \"bbox\": [8, 180, 88, 190]}, {\"cell\": \"9435 (47.1)\", \"bbox\": [180, 180, 216, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 180, 441, 190]}, {\"cell\": \" Moderate (score >10 to ≤22)\", \"bbox\": [8, 194, 104, 204]}, {\"cell\": \"5674 (28.3)\", \"bbox\": [180, 194, 216, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 194, 441, 204]}, {\"cell\": \" Severe (score >22)\", \"bbox\": [8, 208, 70, 218]}, {\"cell\": \"4929 (24.6)\", \"bbox\": [180, 208, 216, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 208, 441, 218]}, {\"cell\": \"History of biologic DMARD use, n (%)\", \"bbox\": [1, 222, 122, 232]}, {\"cell\": \"9411 (47.0)\", \"bbox\": [180, 222, 216, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 222, 441, 232]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5406915_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]Initial growth on CABGrowth on MM agar
NMBFunctionGeneTraSH predictionTraSH ratioExperimental phenotypeTraSH predictionChange in TraSH ratioExperimental phenotype
ΔNMB1646[EMPTY_CELL][EMPTY_CELL]Non-ess0.74Non-essNon-ess1.40Non-ess
ΔNMB0696[EMPTY_CELL][EMPTY_CELL]Non-ess0.495Non-essEss-1.62Non-ess
ΔNMB0719[EMPTY_CELL]tgtNon-ess1.25Non-essEss-3.00Ess
ΔNMB1338[EMPTY_CELL][EMPTY_CELL]Non-ess-0.034Non-essEss-1.67Ess
ΔNMB1277[EMPTY_CELL][EMPTY_CELL]Non-ess-0.0625Non-essEss-1.62Ess
ΔNMB1295[EMPTY_CELL]mutMNon-ess-0.174Non-essEss-1.49Ess
ΔNMB0318[EMPTY_CELL]emrANon-ess2.28Non-essEss-3.29Ess
ΔNMB2061[EMPTY_CELL]ppcNon-ess1.52Non-essEss-1.83Ess
ΔNMB0951[EMPTY_CELL]sdhBNon-ess1.10Non-essEss-3.13Ess
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Initial growth on CAB\", \"bbox\": [196, 4, 274, 13]}, {\"cell\": \"Growth on MM agar\", \"bbox\": [362, 4, 435, 13]}, {\"cell\": \"NMB\", \"bbox\": [1, 17, 19, 27]}, {\"cell\": \"Function\", \"bbox\": [41, 17, 73, 27]}, {\"cell\": \"Gene\", \"bbox\": [138, 17, 158, 27]}, {\"cell\": \"TraSH prediction\", \"bbox\": [166, 17, 203, 36]}, {\"cell\": \"TraSH ratio\", \"bbox\": [214, 17, 236, 36]}, {\"cell\": \"Experimental phenotype\", \"bbox\": [252, 17, 300, 36]}, {\"cell\": \"TraSH prediction\", \"bbox\": [315, 17, 352, 36]}, {\"cell\": \"Change in TraSH ratio\", \"bbox\": [368, 17, 409, 36]}, {\"cell\": \"Experimental phenotype\", \"bbox\": [429, 17, 476, 36]}, {\"cell\": \"ΔNMB1646\", \"bbox\": [1, 39, 37, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 39, 112, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Non-ess\", \"bbox\": [171, 39, 198, 49]}, {\"cell\": \"0.74\", \"bbox\": [218, 39, 233, 49]}, {\"cell\": \"Non-ess\", \"bbox\": [262, 39, 290, 49]}, {\"cell\": \"Non-ess\", \"bbox\": [320, 39, 347, 49]}, {\"cell\": \"1.40\", \"bbox\": [381, 39, 396, 49]}, {\"cell\": \"Non-ess\", \"bbox\": [439, 39, 466, 49]}, {\"cell\": \"ΔNMB0696\", \"bbox\": [1, 51, 37, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 51, 111, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Non-ess\", \"bbox\": [171, 51, 198, 61]}, {\"cell\": \"0.495\", \"bbox\": [216, 51, 234, 61]}, {\"cell\": \"Non-ess\", \"bbox\": [262, 51, 290, 61]}, {\"cell\": \"Ess\", \"bbox\": [328, 51, 339, 61]}, {\"cell\": \"-1.62\", \"bbox\": [380, 51, 397, 61]}, {\"cell\": \"Non-ess\", \"bbox\": [439, 51, 466, 61]}, {\"cell\": \"ΔNMB0719\", \"bbox\": [1, 72, 37, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 72, 98, 91]}, {\"cell\": \"tgt\", \"bbox\": [138, 72, 148, 82]}, {\"cell\": \"Non-ess\", \"bbox\": [171, 72, 198, 82]}, {\"cell\": \"1.25\", \"bbox\": [218, 72, 233, 82]}, {\"cell\": \"Non-ess\", \"bbox\": [262, 72, 290, 82]}, {\"cell\": \"Ess\", \"bbox\": [328, 72, 339, 82]}, {\"cell\": \"-3.00\", \"bbox\": [380, 72, 397, 82]}, {\"cell\": \"Ess\", \"bbox\": [447, 72, 458, 82]}, {\"cell\": \"ΔNMB1338\", \"bbox\": [1, 93, 37, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 93, 102, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Non-ess\", \"bbox\": [171, 93, 198, 103]}, {\"cell\": \"-0.034\", \"bbox\": [215, 93, 236, 103]}, {\"cell\": \"Non-ess\", \"bbox\": [262, 93, 290, 103]}, {\"cell\": \"Ess\", \"bbox\": [328, 93, 339, 103]}, {\"cell\": \"-1.67\", \"bbox\": [380, 93, 397, 103]}, {\"cell\": \"Ess\", \"bbox\": [447, 93, 458, 103]}, {\"cell\": \"ΔNMB1277\", \"bbox\": [1, 105, 37, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 105, 106, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Non-ess\", \"bbox\": [170, 105, 198, 115]}, {\"cell\": \"-0.0625\", \"bbox\": [213, 105, 238, 115]}, {\"cell\": \"Non-ess\", \"bbox\": [262, 105, 290, 115]}, {\"cell\": \"Ess\", \"bbox\": [328, 105, 339, 115]}, {\"cell\": \"-1.62\", \"bbox\": [380, 105, 397, 115]}, {\"cell\": \"Ess\", \"bbox\": [447, 105, 458, 115]}, {\"cell\": \"ΔNMB1295\", \"bbox\": [1, 117, 37, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 117, 131, 136]}, {\"cell\": \"mutM\", \"bbox\": [138, 117, 158, 126]}, {\"cell\": \"Non-ess\", \"bbox\": [170, 117, 198, 127]}, {\"cell\": \"-0.174\", \"bbox\": [215, 117, 236, 127]}, {\"cell\": \"Non-ess\", \"bbox\": [262, 117, 290, 127]}, {\"cell\": \"Ess\", \"bbox\": [328, 117, 339, 127]}, {\"cell\": \"-1.49\", \"bbox\": [380, 117, 397, 127]}, {\"cell\": \"Ess\", \"bbox\": [447, 117, 458, 127]}, {\"cell\": \"ΔNMB0318\", \"bbox\": [1, 138, 37, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 138, 133, 156]}, {\"cell\": \"emrA\", \"bbox\": [138, 138, 156, 147]}, {\"cell\": \"Non-ess\", \"bbox\": [170, 138, 198, 147]}, {\"cell\": \"2.28\", \"bbox\": [218, 138, 233, 147]}, {\"cell\": \"Non-ess\", \"bbox\": [262, 138, 290, 147]}, {\"cell\": \"Ess\", \"bbox\": [328, 138, 339, 147]}, {\"cell\": \"-3.29\", \"bbox\": [380, 138, 397, 147]}, {\"cell\": \"Ess\", \"bbox\": [447, 138, 458, 147]}, {\"cell\": \"ΔNMB2061\", \"bbox\": [1, 159, 37, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 159, 113, 177]}, {\"cell\": \"ppc\", \"bbox\": [138, 159, 151, 168]}, {\"cell\": \"Non-ess\", \"bbox\": [170, 159, 198, 168]}, {\"cell\": \"1.52\", \"bbox\": [218, 159, 233, 168]}, {\"cell\": \"Non-ess\", \"bbox\": [262, 159, 290, 168]}, {\"cell\": \"Ess\", \"bbox\": [328, 159, 339, 168]}, {\"cell\": \"-1.83\", \"bbox\": [380, 159, 397, 168]}, {\"cell\": \"Ess\", \"bbox\": [447, 159, 458, 168]}, {\"cell\": \"ΔNMB0951\", \"bbox\": [0, 180, 37, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 180, 125, 189]}, {\"cell\": \"sdhB\", \"bbox\": [138, 180, 154, 189]}, {\"cell\": \"Non-ess\", \"bbox\": [170, 180, 198, 189]}, {\"cell\": \"1.10\", \"bbox\": [218, 180, 233, 189]}, {\"cell\": \"Non-ess\", \"bbox\": [262, 180, 290, 189]}, {\"cell\": \"Ess\", \"bbox\": [328, 180, 339, 189]}, {\"cell\": \"-3.13\", \"bbox\": [380, 180, 397, 189]}, {\"cell\": \"Ess\", \"bbox\": [447, 180, 458, 189]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3334622_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
GenePrimer nucleotide sequencesProduct size (base pairs)Annealing temperature
CD34Forward: 5’-GCCTGGAGCAAAATAAGACCTC-3’Reverse: 5’-AGGATCCCCAGCTTTTTCAGG-3′[EMPTY_CELL]55 °C
CD45Forward: 5’-TGTGGAGCCAATCCATGCAGA-3’Reverse: 5’-GTTTGACCCTGCATCTCCGTT-3′[EMPTY_CELL]55 °C
CD90Forward: 5’-CACACATACCGCTCCCGAA-3’Reverse: 5’-CACCAGTCACAGGGACATGAA-3′[EMPTY_CELL]55 °C
CD105Forward: 5’-ATACCACTAGCCAGGTCTCGAA-3’Reverse: 5’-ATGGCAGCTCTGTGGTGTTG-3′[EMPTY_CELL]55 °C
NF-kBForward: 5′-CAGCAGATGGCCCATACCTT-3′Reverse: 5′-CACCATGTCCTTGGGTCCAG-3′[EMPTY_CELL]55 °C
mTORForward: 5′-GCCCCTACATGGAGCCTATTC-3′Reverse: 5′-CCTGGAGCATGTCCATGATGA-3′[EMPTY_CELL]55 °C
Oct4Forward: 5’-CTCACCCTGGGGGTTCTATT-3’Reverse: 5’-CTCCAGGTTGCCTCTCACTC-3’[EMPTY_CELL]55 °C
SOX2Forward: 5′-CATGAAGGAGCACCCGGATT-3′Reverse: 5′-ATGTGCGCGTAACTGTCCAT-3′[EMPTY_CELL]55 °C
TNF-αForward: 5′-AGGGACCTCTCTCTAATCAGCC-3′Reverse: 5′-GCTTGAGGGTTTGCTACAACA-3′[EMPTY_CELL]55 °C
IL-6Forward: 5′-TCCTCGACGGCATCTCA-3′Reverse: 5′-TTTTCACCAGGCAAGTCTCCT-3′[EMPTY_CELL]55 °C
COX-2Forward: 5′-TGTGTTGACATCCAGATCACAT-3′Reverse: 5′-GGAGTCGGGCAATCATCAGG-3′[EMPTY_CELL]55 °C
IL-10Forward: 5′-CAAGCTGAGAACCAAGACCC-3′Reverse: 5′-AAGATGTCAAACTCACTCATGGC-3′[EMPTY_CELL]55 °C
TGF-βForward: 5′-ACTGCAAGTGGACATCAACG-3′Reverse: 5′-TGCGGAAGTCAATGTACAGC-3′[EMPTY_CELL]55 °C
β-actinForward: 5’-GCACTCTTCCAGCCTTCCTTCC-3’Reverse: 5’-GAGCCGCCGATCCACACG-3’[EMPTY_CELL]55 °C
\", \"cells\": [{\"cell\": \"Gene\", \"bbox\": [1, 4, 19, 13]}, {\"cell\": \"Primer nucleotide sequences\", \"bbox\": [77, 4, 171, 13]}, {\"cell\": \"Product size (base pairs)\", \"bbox\": [277, 4, 356, 13]}, {\"cell\": \"Annealing temperature\", \"bbox\": [408, 4, 484, 13]}, {\"cell\": \"CD34\", \"bbox\": [1, 17, 20, 26]}, {\"cell\": \"Forward: 5’-GCCTGGAGCAAAATAAGACCTC-3’Reverse: 5’-AGGATCCCCAGCTTTTTCAGG-3′\", \"bbox\": [77, 17, 223, 35]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [277, 17, 301, 26]}, {\"cell\": \"55 °C\", \"bbox\": [408, 17, 427, 26]}, {\"cell\": \"CD45\", \"bbox\": [1, 40, 20, 49]}, {\"cell\": \"Forward: 5’-TGTGGAGCCAATCCATGCAGA-3’Reverse: 5’-GTTTGACCCTGCATCTCCGTT-3′\", \"bbox\": [77, 40, 218, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [277, 40, 301, 49]}, {\"cell\": \"55 °C\", \"bbox\": [408, 40, 427, 49]}, {\"cell\": \"CD90\", \"bbox\": [1, 63, 20, 72]}, {\"cell\": \"Forward: 5’-CACACATACCGCTCCCGAA-3’Reverse: 5’-CACCAGTCACAGGGACATGAA-3′\", \"bbox\": [77, 63, 218, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [277, 63, 301, 72]}, {\"cell\": \"55 °C\", \"bbox\": [408, 63, 427, 72]}, {\"cell\": \"CD105\", \"bbox\": [1, 86, 24, 95]}, {\"cell\": \"Forward: 5’-ATACCACTAGCCAGGTCTCGAA-3’Reverse: 5’-ATGGCAGCTCTGTGGTGTTG-3′\", \"bbox\": [77, 86, 222, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [277, 86, 301, 95]}, {\"cell\": \"55 °C\", \"bbox\": [408, 86, 427, 95]}, {\"cell\": \"NF-kB\", \"bbox\": [1, 109, 21, 118]}, {\"cell\": \"Forward: 5′-CAGCAGATGGCCCATACCTT-3′Reverse: 5′-CACCATGTCCTTGGGTCCAG-3′\", \"bbox\": [77, 109, 213, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [277, 109, 301, 118]}, {\"cell\": \"55 °C\", \"bbox\": [408, 109, 427, 118]}, {\"cell\": \"mTOR\", \"bbox\": [1, 132, 22, 141]}, {\"cell\": \"Forward: 5′-GCCCCTACATGGAGCCTATTC-3′Reverse: 5′-CCTGGAGCATGTCCATGATGA-3′\", \"bbox\": [77, 132, 217, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [277, 132, 301, 141]}, {\"cell\": \"55 °C\", \"bbox\": [408, 132, 427, 141]}, {\"cell\": \"Oct4\", \"bbox\": [1, 155, 18, 164]}, {\"cell\": \"Forward: 5’-CTCACCCTGGGGGTTCTATT-3’Reverse: 5’-CTCCAGGTTGCCTCTCACTC-3’\", \"bbox\": [77, 155, 210, 173]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [277, 155, 301, 164]}, {\"cell\": \"55 °C\", \"bbox\": [408, 155, 427, 164]}, {\"cell\": \"SOX2\", \"bbox\": [1, 178, 20, 187]}, {\"cell\": \"Forward: 5′-CATGAAGGAGCACCCGGATT-3′Reverse: 5′-ATGTGCGCGTAACTGTCCAT-3′\", \"bbox\": [77, 178, 215, 196]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [277, 178, 301, 187]}, {\"cell\": \"55 °C\", \"bbox\": [408, 178, 427, 187]}, {\"cell\": \"TNF-α\", \"bbox\": [0, 201, 21, 210]}, {\"cell\": \"Forward: 5′-AGGGACCTCTCTCTAATCAGCC-3′Reverse: 5′-GCTTGAGGGTTTGCTACAACA-3′\", \"bbox\": [77, 201, 222, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [277, 201, 301, 210]}, {\"cell\": \"55 °C\", \"bbox\": [408, 201, 427, 210]}, {\"cell\": \"IL-6\", \"bbox\": [0, 224, 14, 233]}, {\"cell\": \"Forward: 5′-TCCTCGACGGCATCTCA-3′Reverse: 5′-TTTTCACCAGGCAAGTCTCCT-3′\", \"bbox\": [77, 224, 213, 242]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [277, 224, 301, 233]}, {\"cell\": \"55 °C\", \"bbox\": [408, 224, 427, 233]}, {\"cell\": \"COX-2\", \"bbox\": [0, 247, 23, 256]}, {\"cell\": \"Forward: 5′-TGTGTTGACATCCAGATCACAT-3′Reverse: 5′-GGAGTCGGGCAATCATCAGG-3′\", \"bbox\": [77, 247, 220, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [277, 247, 301, 256]}, {\"cell\": \"55 °C\", \"bbox\": [408, 247, 427, 256]}, {\"cell\": \"IL-10\", \"bbox\": [1, 270, 18, 279]}, {\"cell\": \"Forward: 5′-CAAGCTGAGAACCAAGACCC-3′Reverse: 5′-AAGATGTCAAACTCACTCATGGC-3′\", \"bbox\": [77, 270, 225, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [277, 270, 301, 279]}, {\"cell\": \"55 °C\", \"bbox\": [408, 270, 427, 279]}, {\"cell\": \"TGF-β\", \"bbox\": [1, 293, 21, 302]}, {\"cell\": \"Forward: 5′-ACTGCAAGTGGACATCAACG-3′Reverse: 5′-TGCGGAAGTCAATGTACAGC-3′\", \"bbox\": [77, 293, 215, 311]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [277, 293, 301, 302]}, {\"cell\": \"55 °C\", \"bbox\": [408, 293, 427, 302]}, {\"cell\": \"β-actin\", \"bbox\": [1, 316, 25, 325]}, {\"cell\": \"Forward: 5’-GCACTCTTCCAGCCTTCCTTCC-3’Reverse: 5’-GAGCCGCCGATCCACACG-3’\", \"bbox\": [77, 316, 218, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [277, 316, 301, 325]}, {\"cell\": \"55 °C\", \"bbox\": [408, 316, 427, 325]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5948671_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
N = 119Number in GroupMultiple lesions(N = 95)%OR - UNICI 95% - UNIOR - MULTI1CI MULTI
Age ≤ 32 years[EMPTY_CELL]4775.8%1[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Age > 32 years[EMPTY_CELL]4884.2%1.7020.679-4.2671.6990.620-4.653
Scars at diagnosisNO[EMPTY_CELL]7978.2%1[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Scars at diagnosisYES[EMPTY_CELL]1688.9%2.2280.476-10.4341.810.349-9.383
CRP < 12 mg/dL[EMPTY_CELL]4577.6%1[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
CRP > = 12 mg/dL[EMPTY_CELL]4781.0%1.2340.501-3.0391.1510.425-3.117
Negative urinary cultures or hemocultures[EMPTY_CELL]6074.1%1[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Positive urinary cultures and/or hemocultures[EMPTY_CELL]3592.1%4.0831.136-14.6794.2041.139-15.515
Presence of the 3 main symptoms[EMPTY_CELL]6584.4%1[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Absence of at least one of the 3 main symptoms[EMPTY_CELL]3071.4%0.4620.186-1.1460.4370.168-1.13
\", \"cells\": [{\"cell\": \"N = 119\", \"bbox\": [61, 4, 91, 13]}, {\"cell\": \"Number in Group\", \"bbox\": [165, 4, 204, 22]}, {\"cell\": \"Multiple lesions(N = 95)\", \"bbox\": [230, 4, 260, 31]}, {\"cell\": \"%\", \"bbox\": [282, 4, 291, 13]}, {\"cell\": \"OR - UNI\", \"bbox\": [302, 4, 335, 13]}, {\"cell\": \"CI 95% - UNI\", \"bbox\": [339, 4, 385, 13]}, {\"cell\": \"OR - MULTI1\", \"bbox\": [389, 2, 434, 13]}, {\"cell\": \"CI MULTI\", \"bbox\": [445, 4, 478, 13]}, {\"cell\": \"Age ≤ 32 years\", \"bbox\": [50, 35, 101, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 35, 190, 45]}, {\"cell\": \"47\", \"bbox\": [240, 35, 250, 45]}, {\"cell\": \"75.8%\", \"bbox\": [276, 35, 297, 45]}, {\"cell\": \"1\", \"bbox\": [316, 35, 321, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Age > 32 years\", \"bbox\": [50, 48, 101, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 48, 190, 58]}, {\"cell\": \"48\", \"bbox\": [240, 48, 250, 58]}, {\"cell\": \"84.2%\", \"bbox\": [276, 48, 297, 58]}, {\"cell\": \"1.702\", \"bbox\": [309, 48, 328, 58]}, {\"cell\": \"0.679-4.267\", \"bbox\": [343, 48, 381, 58]}, {\"cell\": \"1.699\", \"bbox\": [403, 48, 421, 58]}, {\"cell\": \"0.620-4.653\", \"bbox\": [443, 48, 480, 58]}, {\"cell\": \"Scars at diagnosisNO\", \"bbox\": [46, 61, 105, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [178, 61, 191, 71]}, {\"cell\": \"79\", \"bbox\": [240, 61, 250, 71]}, {\"cell\": \"78.2%\", \"bbox\": [276, 61, 297, 71]}, {\"cell\": \"1\", \"bbox\": [316, 61, 321, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Scars at diagnosisYES\", \"bbox\": [46, 84, 105, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 84, 190, 93]}, {\"cell\": \"16\", \"bbox\": [240, 84, 250, 93]}, {\"cell\": \"88.9%\", \"bbox\": [276, 84, 297, 93]}, {\"cell\": \"2.228\", \"bbox\": [309, 84, 328, 93]}, {\"cell\": \"0.476-10.434\", \"bbox\": [341, 84, 383, 93]}, {\"cell\": \"1.81\", \"bbox\": [404, 84, 419, 93]}, {\"cell\": \"0.349-9.383\", \"bbox\": [443, 84, 480, 93]}, {\"cell\": \"CRP < 12 mg/dL\", \"bbox\": [48, 106, 104, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 106, 190, 115]}, {\"cell\": \"45\", \"bbox\": [240, 106, 250, 115]}, {\"cell\": \"77.6%\", \"bbox\": [276, 106, 297, 115]}, {\"cell\": \"1\", \"bbox\": [316, 106, 321, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CRP > = 12 mg/dL\", \"bbox\": [44, 119, 108, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 119, 190, 129]}, {\"cell\": \"47\", \"bbox\": [240, 119, 250, 129]}, {\"cell\": \"81.0%\", \"bbox\": [276, 119, 297, 129]}, {\"cell\": \"1.234\", \"bbox\": [309, 119, 328, 129]}, {\"cell\": \"0.501-3.039\", \"bbox\": [343, 119, 381, 129]}, {\"cell\": \"1.151\", \"bbox\": [403, 119, 421, 129]}, {\"cell\": \"0.425-3.117\", \"bbox\": [443, 119, 480, 129]}, {\"cell\": \"Negative urinary cultures or hemocultures\", \"bbox\": [7, 132, 145, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 132, 190, 142]}, {\"cell\": \"60\", \"bbox\": [240, 132, 250, 142]}, {\"cell\": \"74.1%\", \"bbox\": [276, 132, 297, 142]}, {\"cell\": \"1\", \"bbox\": [316, 132, 321, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Positive urinary cultures and/or hemocultures\", \"bbox\": [20, 146, 132, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [179, 146, 190, 155]}, {\"cell\": \"35\", \"bbox\": [240, 146, 250, 155]}, {\"cell\": \"92.1%\", \"bbox\": [275, 146, 298, 155]}, {\"cell\": \"4.083\", \"bbox\": [308, 146, 329, 155]}, {\"cell\": \"1.136-14.679\", \"bbox\": [339, 146, 385, 155]}, {\"cell\": \"4.204\", \"bbox\": [401, 146, 422, 155]}, {\"cell\": \"1.139-15.515\", \"bbox\": [438, 146, 484, 155]}, {\"cell\": \"Presence of the 3 main symptoms\", \"bbox\": [19, 168, 132, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 168, 190, 177]}, {\"cell\": \"65\", \"bbox\": [240, 168, 250, 177]}, {\"cell\": \"84.4%\", \"bbox\": [276, 168, 297, 177]}, {\"cell\": \"1\", \"bbox\": [316, 168, 321, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Absence of at least one of the 3 main symptoms\", \"bbox\": [13, 181, 139, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 181, 190, 190]}, {\"cell\": \"30\", \"bbox\": [240, 181, 250, 190]}, {\"cell\": \"71.4%\", \"bbox\": [275, 181, 296, 190]}, {\"cell\": \"0.462\", \"bbox\": [309, 181, 328, 190]}, {\"cell\": \"0.186-1.146\", \"bbox\": [343, 181, 381, 190]}, {\"cell\": \"0.437\", \"bbox\": [403, 181, 421, 190]}, {\"cell\": \"0.168-1.13\", \"bbox\": [445, 181, 478, 190]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3268718_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
GeneSpecies, PhenotypeIndependent evidence for gene functionRIF rankingDifferentially expressed
MSTNCattle muscle, Piedmontese hyper-muscularity versus normalMapping, deep sequencing [60][EMPTY_CELL]No
Alpha-SynucleinHuman brain, Parkinson’s disease versus healthyRange of evidence including GWAS reviewed in [61][EMPTY_CELL]Unknown. Patent was established to identify causal variants by transcriptome wiring, even when not DE
CDK8Human colon, colorectal cancer versus healthyColorectal cancer oncogene regulates B-catenin [54][EMPTY_CELL]No
P107Human, brown fat tissue versus white fat tissueP107 knockout mouse exhibits a uniform white to brown fat transition [62][EMPTY_CELL]No
DLK1Sheep muscle, Callipyge hyper- muscularity versus normalNot proven, but DLK1 is the most DE highly abundant gene, and its expression is maintained post-natally in effected muscles only.[EMPTY_CELL]Yes, 2.14-fold up- regulation in callipyge individuals across all time points explored.
INSM1Pig, 6 CNS tissues versus 21 other tissuesNeuroendocrine differentiation [63][EMPTY_CELL]Yes, 3.8-Fold up- regulation in CNS
OXTRCattle muscle, steroid hormone induced musclingNo direct evidence, but OXT precursor is the most DE gene in this experiment, and is known to drive cardiac development.[EMPTY_CELL]No
CARM1Human breast, breast cancer high survival versus low survivalRegulates estrogen stimulated breast cancer via E2F1 [64][EMPTY_CELL]No
\", \"cells\": [{\"cell\": \"Gene\", \"bbox\": [1, 4, 20, 13]}, {\"cell\": \"Species, Phenotype\", \"bbox\": [59, 4, 128, 13]}, {\"cell\": \"Independent evidence for gene function\", \"bbox\": [145, 4, 287, 13]}, {\"cell\": \"RIF ranking\", \"bbox\": [293, 4, 334, 13]}, {\"cell\": \"Differentially expressed\", \"bbox\": [356, 4, 442, 13]}, {\"cell\": \"MSTN\", \"bbox\": [1, 17, 21, 26]}, {\"cell\": \"Cattle muscle, Piedmontese hyper-muscularity versus normal\", \"bbox\": [59, 17, 140, 53]}, {\"cell\": \"Mapping, deep sequencing [60]\", \"bbox\": [145, 17, 249, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 15, 348, 26]}, {\"cell\": \"No\", \"bbox\": [356, 17, 368, 26]}, {\"cell\": \"Alpha-Synuclein\", \"bbox\": [1, 58, 53, 67]}, {\"cell\": \"Human brain, Parkinson’s disease versus healthy\", \"bbox\": [59, 58, 121, 85]}, {\"cell\": \"Range of evidence including GWAS reviewed in [61]\", \"bbox\": [145, 58, 261, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 58, 345, 94]}, {\"cell\": \"Unknown. Patent was established to identify causal variants by transcriptome wiring, even when not DE\", \"bbox\": [356, 58, 484, 94]}, {\"cell\": \"CDK8\", \"bbox\": [0, 99, 20, 108]}, {\"cell\": \"Human colon, colorectal cancer versus healthy\", \"bbox\": [59, 99, 115, 126]}, {\"cell\": \"Colorectal cancer oncogene regulates B-catenin [54]\", \"bbox\": [145, 99, 237, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 97, 344, 117]}, {\"cell\": \"No\", \"bbox\": [356, 99, 368, 108]}, {\"cell\": \"P107\", \"bbox\": [0, 131, 18, 140]}, {\"cell\": \"Human, brown fat tissue versus white fat tissue\", \"bbox\": [59, 131, 131, 158]}, {\"cell\": \"P107 knockout mouse exhibits a uniform white to brown fat transition [62]\", \"bbox\": [145, 131, 267, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 129, 349, 140]}, {\"cell\": \"No\", \"bbox\": [356, 131, 368, 140]}, {\"cell\": \"DLK1\", \"bbox\": [0, 162, 19, 172]}, {\"cell\": \"Sheep muscle, Callipyge hyper- muscularity versus normal\", \"bbox\": [59, 162, 119, 199]}, {\"cell\": \"Not proven, but DLK1 is the most DE highly abundant gene, and its expression is maintained post-natally in effected muscles only.\", \"bbox\": [145, 162, 265, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 161, 349, 190]}, {\"cell\": \"Yes, 2.14-fold up- regulation in callipyge individuals across all time points explored.\", \"bbox\": [356, 162, 429, 199]}, {\"cell\": \"INSM1\", \"bbox\": [1, 203, 23, 213]}, {\"cell\": \"Pig, 6 CNS tissues versus 21 other tissues\", \"bbox\": [59, 203, 133, 222]}, {\"cell\": \"Neuroendocrine differentiation [63]\", \"bbox\": [145, 203, 260, 213]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 202, 350, 222]}, {\"cell\": \"Yes, 3.8-Fold up- regulation in CNS\", \"bbox\": [356, 203, 414, 222]}, {\"cell\": \"OXTR\", \"bbox\": [1, 226, 20, 236]}, {\"cell\": \"Cattle muscle, steroid hormone induced muscling\", \"bbox\": [59, 226, 118, 254]}, {\"cell\": \"No direct evidence, but OXT precursor is the most DE gene in this experiment, and is known to drive cardiac development.\", \"bbox\": [145, 226, 253, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 225, 346, 245]}, {\"cell\": \"No\", \"bbox\": [356, 226, 368, 236]}, {\"cell\": \"CARM1\", \"bbox\": [1, 267, 26, 277]}, {\"cell\": \"Human breast, breast cancer high survival versus low survival\", \"bbox\": [59, 267, 120, 303]}, {\"cell\": \"Regulates estrogen stimulated breast cancer via E2F1 [64]\", \"bbox\": [145, 267, 244, 286]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 265, 351, 277]}, {\"cell\": \"No\", \"bbox\": [356, 267, 368, 277]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3444927_012_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
SettingContextMechanismOutcome
[EMPTY_CELL]Systemic organisational change in general practice (implementation of the Health & Social Care Act 2012)GPs avoid additional tasks that increase work burden or are perceived outwith remitNo engagement with the project despite potential for general practice as a discipline and patient gain
[EMPTY_CELL]Top-down decision to involve care homes, during period of care home chain re-organisationCare home managers avoid additional imposed tasksNo lasting engagement
[EMPTY_CELL]Top-down decision to involve hospital ward, and period of major staff turnoverWard staff minimise involvement, momentum lost when key staff leaveSelection of indicators for change in order to minimise workload and maximise gain
[EMPTY_CELL]Competing demands in hospices & community teams, with funding challenges, periods of staff absence; but strong audit & research cultureValue of indicators appreciated, as supplement to existing audit & research cultureChanges made, effects seen, though extended implementation timescale required
\", \"cells\": [{\"cell\": \"Setting\", \"bbox\": [1, 4, 25, 13]}, {\"cell\": \"Context\", \"bbox\": [113, 4, 140, 13]}, {\"cell\": \"Mechanism\", \"bbox\": [264, 4, 302, 13]}, {\"cell\": \"Outcome\", \"bbox\": [373, 4, 405, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 54, 27]}, {\"cell\": \"Systemic organisational change in general practice (implementation of the Health & Social Care Act 2012)\", \"bbox\": [113, 17, 251, 45]}, {\"cell\": \"GPs avoid additional tasks that increase work burden or are perceived outwith remit\", \"bbox\": [264, 17, 364, 45]}, {\"cell\": \"No engagement with the project despite potential for general practice as a discipline and patient gain\", \"bbox\": [373, 17, 460, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 58, 41, 68]}, {\"cell\": \"Top-down decision to involve care homes, during period of care home chain re-organisation\", \"bbox\": [113, 58, 252, 86]}, {\"cell\": \"Care home managers avoid additional imposed tasks\", \"bbox\": [264, 58, 355, 77]}, {\"cell\": \"No lasting engagement\", \"bbox\": [373, 58, 451, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 90, 50, 100]}, {\"cell\": \"Top-down decision to involve hospital ward, and period of major staff turnover\", \"bbox\": [113, 90, 258, 109]}, {\"cell\": \"Ward staff minimise involvement, momentum lost when key staff leave\", \"bbox\": [264, 90, 361, 118]}, {\"cell\": \"Selection of indicators for change in order to minimise workload and maximise gain\", \"bbox\": [373, 90, 467, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 122, 108, 141]}, {\"cell\": \"Competing demands in hospices & community teams, with funding challenges, periods of staff absence; but strong audit & research culture\", \"bbox\": [113, 122, 256, 159]}, {\"cell\": \"Value of indicators appreciated, as supplement to existing audit & research culture\", \"bbox\": [264, 122, 367, 150]}, {\"cell\": \"Changes made, effects seen, though extended implementation timescale required\", \"bbox\": [373, 122, 484, 150]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4970274_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Latanoprost concentration (μg/mL)
[EMPTY_CELL]5075100[EMPTY_CELL]
N717072[EMPTY_CELL]
Eye disorders
Abnormal sensation in eye3 (4.2)4 (5.7)7 (9.7)[EMPTY_CELL]
Anterior chamber disorder NOS0 (0.0)2 (2.9)2 (2.8)[EMPTY_CELL]
Conjunctival disorder NOS2 (2.8)1 (1.4)0 (0.0)[EMPTY_CELL]
Conjunctival edema0 (0.0)2 (2.9)2 (2.8)[EMPTY_CELL]
Conjunctival hyperemia12 (16.9)13 (18.6)15 (20.8)[EMPTY_CELL]
Dry eye NEC1 (1.4)2 (2.9)4 (5.6)[EMPTY_CELL]
Eye irritation5 (7.0)7 (10.0)6 (8.3)[EMPTY_CELL]
Eye pain2 (2.8)6 (8.6)3 (4.2)[EMPTY_CELL]
Eyelid disorder NOS0 (0.0)2 (2.9)0 (0.0)[EMPTY_CELL]
Keratitis NEC2 (2.8)4 (5.7)3 (4.2)[EMPTY_CELL]
Ocular hyperemia*5 (7.0)4 (5.7)5 (6.9)[EMPTY_CELL]
Red eye3 (4.2)5 (7.1)6 (8.3)[EMPTY_CELL]
Vision blurred1 (1.4)0 (0.0)2 (2.8)[EMPTY_CELL]
Musculoskeletal, connective tissue and bone disorders
Arthralgia1 (1.4)0 (0.0)2 (2.8)[EMPTY_CELL]
Nervous system disorders
Headache NOS4 (5.6)4 (5.7)3 (4.2)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Latanoprost concentration (μg/mL)\", \"bbox\": [113, 4, 236, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"50\", \"bbox\": [120, 18, 131, 27]}, {\"cell\": \"75\", \"bbox\": [152, 18, 163, 27]}, {\"cell\": \"100\", \"bbox\": [182, 18, 197, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 18, 229, 27]}, {\"cell\": \"N\", \"bbox\": [1, 32, 8, 41]}, {\"cell\": \"71\", \"bbox\": [120, 32, 130, 41]}, {\"cell\": \"70\", \"bbox\": [153, 32, 162, 41]}, {\"cell\": \"72\", \"bbox\": [185, 32, 195, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [217, 32, 227, 41]}, {\"cell\": \"Eye disorders\", \"bbox\": [1, 46, 49, 55]}, {\"cell\": \" Abnormal sensation in eye\", \"bbox\": [4, 60, 92, 69]}, {\"cell\": \"3 (4.2)\", \"bbox\": [115, 60, 136, 69]}, {\"cell\": \"4 (5.7)\", \"bbox\": [147, 60, 168, 69]}, {\"cell\": \"7 (9.7)\", \"bbox\": [179, 60, 200, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 60, 233, 69]}, {\"cell\": \" Anterior chamber disorder NOS\", \"bbox\": [4, 74, 108, 83]}, {\"cell\": \"0 (0.0)\", \"bbox\": [115, 74, 136, 83]}, {\"cell\": \"2 (2.9)\", \"bbox\": [147, 74, 168, 83]}, {\"cell\": \"2 (2.8)\", \"bbox\": [179, 74, 200, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 74, 233, 83]}, {\"cell\": \" Conjunctival disorder NOS\", \"bbox\": [4, 88, 91, 97]}, {\"cell\": \"2 (2.8)\", \"bbox\": [115, 88, 136, 97]}, {\"cell\": \"1 (1.4)\", \"bbox\": [147, 88, 168, 97]}, {\"cell\": \"0 (0.0)\", \"bbox\": [179, 88, 200, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 88, 233, 97]}, {\"cell\": \" Conjunctival edema\", \"bbox\": [4, 102, 70, 111]}, {\"cell\": \"0 (0.0)\", \"bbox\": [115, 102, 136, 111]}, {\"cell\": \"2 (2.9)\", \"bbox\": [147, 102, 168, 111]}, {\"cell\": \"2 (2.8)\", \"bbox\": [179, 102, 200, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 102, 233, 111]}, {\"cell\": \" Conjunctival hyperemia\", \"bbox\": [4, 116, 82, 125]}, {\"cell\": \"12 (16.9)\", \"bbox\": [111, 116, 140, 125]}, {\"cell\": \"13 (18.6)\", \"bbox\": [143, 116, 172, 125]}, {\"cell\": \"15 (20.8)\", \"bbox\": [175, 116, 204, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [207, 116, 236, 125]}, {\"cell\": \" Dry eye NEC\", \"bbox\": [4, 130, 47, 139]}, {\"cell\": \"1 (1.4)\", \"bbox\": [115, 130, 136, 139]}, {\"cell\": \"2 (2.9)\", \"bbox\": [147, 130, 168, 139]}, {\"cell\": \"4 (5.6)\", \"bbox\": [179, 130, 200, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [214, 130, 230, 139]}, {\"cell\": \" Eye irritation\", \"bbox\": [4, 144, 46, 153]}, {\"cell\": \"5 (7.0)\", \"bbox\": [115, 144, 136, 153]}, {\"cell\": \"7 (10.0)\", \"bbox\": [145, 144, 170, 153]}, {\"cell\": \"6 (8.3)\", \"bbox\": [179, 144, 200, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [209, 144, 234, 153]}, {\"cell\": \" Eye pain\", \"bbox\": [4, 158, 34, 167]}, {\"cell\": \"2 (2.8)\", \"bbox\": [115, 158, 136, 167]}, {\"cell\": \"6 (8.6)\", \"bbox\": [147, 158, 168, 167]}, {\"cell\": \"3 (4.2)\", \"bbox\": [179, 158, 200, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 158, 233, 167]}, {\"cell\": \" Eyelid disorder NOS\", \"bbox\": [4, 172, 70, 181]}, {\"cell\": \"0 (0.0)\", \"bbox\": [115, 172, 136, 181]}, {\"cell\": \"2 (2.9)\", \"bbox\": [147, 172, 168, 181]}, {\"cell\": \"0 (0.0)\", \"bbox\": [179, 172, 200, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 172, 233, 181]}, {\"cell\": \" Keratitis NEC\", \"bbox\": [4, 186, 47, 195]}, {\"cell\": \"2 (2.8)\", \"bbox\": [115, 186, 136, 195]}, {\"cell\": \"4 (5.7)\", \"bbox\": [147, 186, 168, 195]}, {\"cell\": \"3 (4.2)\", \"bbox\": [179, 186, 200, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 186, 233, 195]}, {\"cell\": \" Ocular hyperemia*\", \"bbox\": [4, 200, 66, 209]}, {\"cell\": \"5 (7.0)\", \"bbox\": [115, 200, 136, 209]}, {\"cell\": \"4 (5.7)\", \"bbox\": [147, 200, 168, 209]}, {\"cell\": \"5 (6.9)\", \"bbox\": [179, 200, 200, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 200, 233, 209]}, {\"cell\": \" Red eye\", \"bbox\": [4, 214, 32, 223]}, {\"cell\": \"3 (4.2)\", \"bbox\": [115, 214, 136, 223]}, {\"cell\": \"5 (7.1)\", \"bbox\": [147, 214, 168, 223]}, {\"cell\": \"6 (8.3)\", \"bbox\": [179, 214, 200, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 214, 233, 223]}, {\"cell\": \" Vision blurred\", \"bbox\": [4, 228, 51, 237]}, {\"cell\": \"1 (1.4)\", \"bbox\": [115, 228, 136, 237]}, {\"cell\": \"0 (0.0)\", \"bbox\": [147, 228, 168, 237]}, {\"cell\": \"2 (2.8)\", \"bbox\": [179, 228, 200, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 228, 233, 237]}, {\"cell\": \"Musculoskeletal, connective tissue and bone disorders\", \"bbox\": [1, 242, 192, 251]}, {\"cell\": \" Arthralgia\", \"bbox\": [4, 256, 37, 265]}, {\"cell\": \"1 (1.4)\", \"bbox\": [115, 256, 136, 265]}, {\"cell\": \"0 (0.0)\", \"bbox\": [147, 256, 168, 265]}, {\"cell\": \"2 (2.8)\", \"bbox\": [179, 256, 200, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 256, 233, 265]}, {\"cell\": \"Nervous system disorders\", \"bbox\": [1, 270, 92, 279]}, {\"cell\": \" Headache NOS\", \"bbox\": [4, 284, 55, 293]}, {\"cell\": \"4 (5.6)\", \"bbox\": [115, 284, 136, 293]}, {\"cell\": \"4 (5.7)\", \"bbox\": [147, 284, 168, 293]}, {\"cell\": \"3 (4.2)\", \"bbox\": [179, 284, 200, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 284, 233, 293]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3475103_009_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Ulcerative colitis (n = 10)Crohn's disease (n = 10)
[EMPTY_CELL]2:32:3
[EMPTY_CELL]50.6 ± 18.2841.7 ± 13.1
[EMPTY_CELL]7.3 ± 5.111.9 ± 10.7
[EMPTY_CELL]
[EMPTY_CELL]10 (100)2 (20)
[EMPTY_CELL]01 (10)
[EMPTY_CELL]06 (60)
[EMPTY_CELL]01 (10)
[EMPTY_CELL]
[EMPTY_CELL]00
[EMPTY_CELL]8 (80)5 (50)
[EMPTY_CELL]05 (50)
[EMPTY_CELL]2 (40)0
[EMPTY_CELL]
[EMPTY_CELL]02 (20)
[EMPTY_CELL]6 (60)5 (50)
[EMPTY_CELL]7 (70)6 (60)
[EMPTY_CELL]01 (10)
[EMPTY_CELL]3 (30)4 (40)
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ulcerative colitis (n = 10)\", \"bbox\": [112, 2, 147, 32]}, {\"cell\": \"Crohn's disease (n = 10)\", \"bbox\": [183, 2, 213, 32]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 35, 42, 45]}, {\"cell\": \"2:3\", \"bbox\": [113, 35, 125, 45]}, {\"cell\": \"2:3\", \"bbox\": [184, 35, 196, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 53, 87, 62]}, {\"cell\": \"50.6 ± 18.28\", \"bbox\": [113, 53, 159, 62]}, {\"cell\": \"41.7 ± 13.1\", \"bbox\": [184, 53, 226, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 69, 73, 89]}, {\"cell\": \"7.3 ± 5.1\", \"bbox\": [113, 69, 147, 79]}, {\"cell\": \"11.9 ± 10.7\", \"bbox\": [184, 69, 226, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 97, 73, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 113, 66, 123]}, {\"cell\": \"10 (100)\", \"bbox\": [113, 113, 143, 123]}, {\"cell\": \"2 (20)\", \"bbox\": [184, 113, 206, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 131, 47, 141]}, {\"cell\": \"0\", \"bbox\": [113, 131, 119, 141]}, {\"cell\": \"1 (10)\", \"bbox\": [184, 131, 206, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 147, 39, 157]}, {\"cell\": \"0\", \"bbox\": [113, 147, 119, 157]}, {\"cell\": \"6 (60)\", \"bbox\": [184, 147, 206, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 165, 36, 175]}, {\"cell\": \"0\", \"bbox\": [113, 165, 119, 175]}, {\"cell\": \"1 (10)\", \"bbox\": [184, 165, 206, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 181, 59, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 199, 30, 209]}, {\"cell\": \"0\", \"bbox\": [113, 199, 119, 209]}, {\"cell\": \"0\", \"bbox\": [184, 199, 190, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 216, 30, 225]}, {\"cell\": \"8 (80)\", \"bbox\": [113, 216, 135, 225]}, {\"cell\": \"5 (50)\", \"bbox\": [184, 216, 206, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 233, 64, 243]}, {\"cell\": \"0\", \"bbox\": [113, 233, 119, 243]}, {\"cell\": \"5 (50)\", \"bbox\": [184, 233, 206, 243]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 250, 55, 259]}, {\"cell\": \"2 (40)\", \"bbox\": [113, 250, 135, 259]}, {\"cell\": \"0\", \"bbox\": [184, 250, 190, 259]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 268, 39, 277]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 284, 53, 294]}, {\"cell\": \"0\", \"bbox\": [113, 284, 119, 294]}, {\"cell\": \"2 (20)\", \"bbox\": [184, 284, 206, 294]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 302, 43, 311]}, {\"cell\": \"6 (60)\", \"bbox\": [113, 302, 135, 311]}, {\"cell\": \"5 (50)\", \"bbox\": [184, 302, 206, 311]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 318, 51, 328]}, {\"cell\": \"7 (70)\", \"bbox\": [113, 318, 135, 328]}, {\"cell\": \"6 (60)\", \"bbox\": [184, 318, 206, 328]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 336, 84, 346]}, {\"cell\": \"0\", \"bbox\": [113, 336, 119, 346]}, {\"cell\": \"1 (10)\", \"bbox\": [184, 336, 206, 346]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 352, 51, 362]}, {\"cell\": \"3 (30)\", \"bbox\": [113, 352, 135, 362]}, {\"cell\": \"4 (40)\", \"bbox\": [184, 352, 206, 362]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5020622_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Nearest geneEffect alleleObese vs nonobese
[EMPTY_CELL]OR95% CINominal P valuea
rs2721INSIG1 T0.940.81 [EMPTY_CELL]0.394
rs13223383INSIG1 T0.900.78 [EMPTY_CELL]0.164
rs7566605INSIG2C1.040.91 [EMPTY_CELL]0.547
rs10185316INSIG2 G1.040.87 [EMPTY_CELL]0.665
rs13428113INSIG2C0.980.86 [EMPTY_CELL]0.714
rs17047757INSIG2 G1.040.89 [EMPTY_CELL]0.622
rs9308762INSIG2 T1.030.90 [EMPTY_CELL]0.710
rs12487736SCAP G1.151.01 [EMPTY_CELL]0.039
rs12490383SCAP C1.171.02 [EMPTY_CELL]0.026
rs2297508SREBP1 C1.020.85 [EMPTY_CELL]0.813
rs60282872SREBP1 DEL0.880.67 [EMPTY_CELL]0.367
rs7287010SREBP2 T1.030.89 [EMPTY_CELL]0.706
rs1883205SREBP2 T0.920.80 [EMPTY_CELL]0.222
rs133290SREBP2 C0.980.85 [EMPTY_CELL]0.825
rs2228314SREBP2 C1.171.00 [EMPTY_CELL]0.051
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Nearest gene\", \"bbox\": [83, 9, 131, 20]}, {\"cell\": \"Effect allele\", \"bbox\": [172, 9, 215, 20]}, {\"cell\": \"Obese vs nonobese\", \"bbox\": [343, 4, 413, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"OR\", \"bbox\": [259, 16, 273, 27]}, {\"cell\": \"95% CI\", \"bbox\": [340, 16, 368, 27]}, {\"cell\": \"Nominal P valuea\", \"bbox\": [433, 13, 498, 29]}, {\"cell\": \"rs2721\", \"bbox\": [2, 29, 27, 40]}, {\"cell\": \"INSIG1 \", \"bbox\": [93, 29, 120, 38]}, {\"cell\": \"T\", \"bbox\": [190, 29, 198, 40]}, {\"cell\": \"0.94\", \"bbox\": [257, 29, 274, 40]}, {\"cell\": \"0.81 \", \"bbox\": [317, 29, 333, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [375, 29, 391, 40]}, {\"cell\": \"0.394 \", \"bbox\": [455, 29, 477, 40]}, {\"cell\": \"rs13223383\", \"bbox\": [2, 42, 43, 52]}, {\"cell\": \"INSIG1 \", \"bbox\": [93, 42, 120, 50]}, {\"cell\": \"T\", \"bbox\": [190, 42, 198, 52]}, {\"cell\": \"0.90\", \"bbox\": [257, 42, 274, 52]}, {\"cell\": \"0.78 \", \"bbox\": [317, 42, 333, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [375, 42, 391, 52]}, {\"cell\": \"0.164 \", \"bbox\": [456, 42, 476, 52]}, {\"cell\": \"rs7566605\", \"bbox\": [2, 54, 41, 65]}, {\"cell\": \"INSIG2\", \"bbox\": [92, 54, 121, 65]}, {\"cell\": \"C\", \"bbox\": [190, 54, 198, 65]}, {\"cell\": \"1.04\", \"bbox\": [258, 54, 274, 65]}, {\"cell\": \"0.91 \", \"bbox\": [317, 54, 333, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 54, 391, 65]}, {\"cell\": \"0.547 \", \"bbox\": [455, 54, 477, 65]}, {\"cell\": \"rs10185316\", \"bbox\": [2, 67, 41, 77]}, {\"cell\": \"INSIG2 \", \"bbox\": [92, 67, 121, 75]}, {\"cell\": \"G\", \"bbox\": [190, 67, 198, 77]}, {\"cell\": \"1.04\", \"bbox\": [258, 67, 274, 77]}, {\"cell\": \"0.87 \", \"bbox\": [317, 67, 333, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 67, 391, 77]}, {\"cell\": \"0.665 \", \"bbox\": [455, 67, 477, 77]}, {\"cell\": \"rs13428113\", \"bbox\": [2, 79, 41, 90]}, {\"cell\": \"INSIG2\", \"bbox\": [92, 79, 121, 90]}, {\"cell\": \"C\", \"bbox\": [190, 79, 198, 90]}, {\"cell\": \"0.98\", \"bbox\": [257, 79, 274, 90]}, {\"cell\": \"0.86 \", \"bbox\": [316, 79, 333, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [377, 79, 390, 90]}, {\"cell\": \"0.714 \", \"bbox\": [456, 79, 476, 90]}, {\"cell\": \"rs17047757\", \"bbox\": [2, 91, 44, 102]}, {\"cell\": \"INSIG2 \", \"bbox\": [92, 92, 121, 100]}, {\"cell\": \"G\", \"bbox\": [190, 91, 198, 102]}, {\"cell\": \"1.04\", \"bbox\": [258, 91, 274, 102]}, {\"cell\": \"0.89 \", \"bbox\": [316, 91, 333, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 91, 391, 102]}, {\"cell\": \"0.622 \", \"bbox\": [455, 91, 477, 102]}, {\"cell\": \"rs9308762\", \"bbox\": [2, 104, 41, 115]}, {\"cell\": \"INSIG2 \", \"bbox\": [92, 104, 121, 112]}, {\"cell\": \"T\", \"bbox\": [190, 104, 198, 115]}, {\"cell\": \"1.03\", \"bbox\": [258, 104, 274, 115]}, {\"cell\": \"0.90 \", \"bbox\": [316, 104, 334, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 104, 391, 115]}, {\"cell\": \"0.710 \", \"bbox\": [456, 104, 476, 115]}, {\"cell\": \"rs12487736\", \"bbox\": [2, 116, 44, 127]}, {\"cell\": \"SCAP \", \"bbox\": [95, 116, 118, 125]}, {\"cell\": \"G\", \"bbox\": [190, 116, 198, 127]}, {\"cell\": \"1.15\", \"bbox\": [259, 116, 273, 127]}, {\"cell\": \"1.01 \", \"bbox\": [318, 116, 332, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 116, 391, 127]}, {\"cell\": \"0.039 \", \"bbox\": [455, 116, 477, 127]}, {\"cell\": \"rs12490383\", \"bbox\": [2, 129, 44, 139]}, {\"cell\": \"SCAP \", \"bbox\": [95, 129, 118, 137]}, {\"cell\": \"C\", \"bbox\": [190, 129, 198, 139]}, {\"cell\": \"1.17\", \"bbox\": [259, 129, 273, 139]}, {\"cell\": \"1.02 \", \"bbox\": [317, 129, 333, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 129, 391, 139]}, {\"cell\": \"0.026 \", \"bbox\": [455, 129, 477, 139]}, {\"cell\": \"rs2297508\", \"bbox\": [2, 141, 41, 152]}, {\"cell\": \"SREBP1 \", \"bbox\": [92, 141, 121, 150]}, {\"cell\": \"C\", \"bbox\": [190, 141, 198, 152]}, {\"cell\": \"1.02\", \"bbox\": [258, 141, 274, 152]}, {\"cell\": \"0.85 \", \"bbox\": [317, 141, 333, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 141, 391, 152]}, {\"cell\": \"0.813 \", \"bbox\": [456, 141, 476, 152]}, {\"cell\": \"rs60282872\", \"bbox\": [2, 154, 45, 164]}, {\"cell\": \"SREBP1 \", \"bbox\": [92, 154, 121, 162]}, {\"cell\": \"DEL\", \"bbox\": [185, 154, 203, 164]}, {\"cell\": \"0.88\", \"bbox\": [257, 154, 274, 164]}, {\"cell\": \"0.67 \", \"bbox\": [316, 154, 333, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 154, 391, 164]}, {\"cell\": \"0.367 \", \"bbox\": [455, 154, 477, 164]}, {\"cell\": \"rs7287010\", \"bbox\": [2, 166, 39, 177]}, {\"cell\": \"SREBP2 \", \"bbox\": [91, 166, 122, 175]}, {\"cell\": \"T\", \"bbox\": [190, 166, 198, 177]}, {\"cell\": \"1.03\", \"bbox\": [258, 166, 274, 177]}, {\"cell\": \"0.89 \", \"bbox\": [316, 166, 333, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 166, 391, 177]}, {\"cell\": \"0.706 \", \"bbox\": [455, 166, 477, 177]}, {\"cell\": \"rs1883205\", \"bbox\": [2, 179, 39, 189]}, {\"cell\": \"SREBP2 \", \"bbox\": [91, 179, 122, 187]}, {\"cell\": \"T\", \"bbox\": [190, 179, 198, 189]}, {\"cell\": \"0.92\", \"bbox\": [257, 179, 274, 189]}, {\"cell\": \"0.80 \", \"bbox\": [316, 179, 334, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 179, 391, 189]}, {\"cell\": \"0.222 \", \"bbox\": [455, 179, 476, 189]}, {\"cell\": \"rs133290\", \"bbox\": [2, 191, 35, 202]}, {\"cell\": \"SREBP2 \", \"bbox\": [91, 191, 122, 200]}, {\"cell\": \"C\", \"bbox\": [190, 191, 198, 202]}, {\"cell\": \"0.98\", \"bbox\": [257, 191, 274, 202]}, {\"cell\": \"0.85 \", \"bbox\": [317, 191, 333, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 191, 391, 202]}, {\"cell\": \"0.825 \", \"bbox\": [455, 191, 476, 202]}, {\"cell\": \"rs2228314\", \"bbox\": [2, 204, 39, 214]}, {\"cell\": \"SREBP2 \", \"bbox\": [91, 204, 122, 212]}, {\"cell\": \"C\", \"bbox\": [190, 204, 198, 214]}, {\"cell\": \"1.17\", \"bbox\": [259, 204, 273, 214]}, {\"cell\": \"1.00 \", \"bbox\": [317, 204, 333, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 204, 391, 214]}, {\"cell\": \"0.051 \", \"bbox\": [456, 204, 476, 214]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4083216_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Outcome groupEarly resolving arthritisEarly persistent arthritis (All)Early persistent RAEstablished RAP
Number2431[EMPTY_CELL]20na
Female16 (67%)21 (68%)[EMPTY_CELL]15 (75%)ns
n (%)
Age, years; mean (SD)51.8 (14.4)56.9 (18.2)[EMPTY_CELL]58.2 (14.3)ns
CRP, mg/l;8 (0-14)25 (10-44)[EMPTY_CELL]9 (0-44.75)P = 0.0221 Early p arthritis (all) vs early resolving arthritis
Median (IQR)P = 0.0184 Early p RA vs early resolving arthritis
ESR, mm/h;20.5 (12-44.75)26 (20-60.75)[EMPTY_CELL]25 (9.75-48.75)ns
Median (IQR)
DAS28, ESR;3.7 (3.5-5.1)5.3 (4.4-6.7)[EMPTY_CELL]5.3 (4.3-6.1)P = 0.0013 Early p arthritis (all) vs early resolving arthritis
Median (IQR)P = 0.0054 Early p RA vs early resolving arthritis
Disease duration, weeks;6.5 (4-9.5)8 (6-10)[EMPTY_CELL]42 (22.25-82.5)P < 0.0001 Established RA vs early p RA
Median (IQR)
Tender joint count 28;2.5 (1-4.75)7 (2-17)[EMPTY_CELL]8.5 (4.25-19.75)P = 0.0072 Early p arthritis (all) vs early resolving arthritis
Median (IQR)P = 0.0072 Early p RA vs early resolving arthritis
Swollen joint count 28;1 (1-3.5)4 (1-11)[EMPTY_CELL]7 (4-13.5)P = 0.0034 Early p arthritis (all) vs early resolving arthritis
Median (IQR)P = 0.0001 Early p RA vs early resolving arthritis
RF + ve3 (12.5%)10 (32%)[EMPTY_CELL]8 (40%)ns
n (%)
Anti-CCP antibodies0 (0%)9 (29%)[EMPTY_CELL]11 (55%)P = 0.0004
n (%)
\", \"cells\": [{\"cell\": \"Outcome group\", \"bbox\": [1, 4, 58, 13]}, {\"cell\": \"Early resolving arthritis\", \"bbox\": [96, 4, 149, 22]}, {\"cell\": \"Early persistent arthritis (All)\", \"bbox\": [164, 4, 220, 22]}, {\"cell\": \"Early persistent RA\", \"bbox\": [235, 4, 302, 13]}, {\"cell\": \"Established RA\", \"bbox\": [318, 4, 371, 13]}, {\"cell\": \"P\", \"bbox\": [386, 4, 393, 12]}, {\"cell\": \"Number\", \"bbox\": [0, 26, 29, 36]}, {\"cell\": \"24\", \"bbox\": [96, 26, 105, 36]}, {\"cell\": \"31\", \"bbox\": [164, 26, 174, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 26, 245, 36]}, {\"cell\": \"20\", \"bbox\": [318, 26, 327, 36]}, {\"cell\": \"na\", \"bbox\": [386, 26, 396, 36]}, {\"cell\": \"Female\", \"bbox\": [0, 40, 26, 50]}, {\"cell\": \"16 (67%)\", \"bbox\": [96, 40, 125, 50]}, {\"cell\": \"21 (68%)\", \"bbox\": [164, 40, 194, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 40, 265, 50]}, {\"cell\": \"15 (75%)\", \"bbox\": [318, 40, 347, 50]}, {\"cell\": \"ns\", \"bbox\": [386, 40, 396, 50]}, {\"cell\": \"n (%)\", \"bbox\": [0, 54, 19, 64]}, {\"cell\": \"Age, years; mean (SD)\", \"bbox\": [0, 68, 72, 78]}, {\"cell\": \"51.8 (14.4)\", \"bbox\": [96, 68, 130, 78]}, {\"cell\": \"56.9 (18.2)\", \"bbox\": [164, 68, 198, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 68, 273, 78]}, {\"cell\": \"58.2 (14.3)\", \"bbox\": [318, 68, 352, 78]}, {\"cell\": \"ns\", \"bbox\": [386, 68, 396, 78]}, {\"cell\": \"CRP, mg/l;\", \"bbox\": [0, 82, 35, 92]}, {\"cell\": \"8 (0-14)\", \"bbox\": [96, 82, 122, 92]}, {\"cell\": \"25 (10-44)\", \"bbox\": [164, 82, 198, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 82, 278, 92]}, {\"cell\": \"9 (0-44.75)\", \"bbox\": [318, 82, 353, 92]}, {\"cell\": \"P = 0.0221 Early p arthritis (all) vs early resolving arthritis\", \"bbox\": [386, 82, 484, 101]}, {\"cell\": \"Median (IQR)\", \"bbox\": [0, 105, 44, 115]}, {\"cell\": \"P = 0.0184 Early p RA vs early resolving arthritis\", \"bbox\": [386, 105, 481, 124]}, {\"cell\": \"ESR, mm/h;\", \"bbox\": [0, 128, 39, 138]}, {\"cell\": \"20.5 (12-44.75)\", \"bbox\": [96, 128, 144, 138]}, {\"cell\": \"26 (20-60.75)\", \"bbox\": [164, 128, 207, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 128, 287, 138]}, {\"cell\": \"25 (9.75-48.75)\", \"bbox\": [318, 128, 366, 138]}, {\"cell\": \"ns\", \"bbox\": [386, 128, 396, 138]}, {\"cell\": \"Median (IQR)\", \"bbox\": [0, 142, 44, 152]}, {\"cell\": \"DAS28, ESR;\", \"bbox\": [0, 156, 40, 166]}, {\"cell\": \"3.7 (3.5-5.1)\", \"bbox\": [96, 156, 134, 166]}, {\"cell\": \"5.3 (4.4-6.7)\", \"bbox\": [164, 156, 202, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 156, 277, 166]}, {\"cell\": \"5.3 (4.3-6.1)\", \"bbox\": [318, 156, 356, 166]}, {\"cell\": \"P = 0.0013 Early p arthritis (all) vs early resolving arthritis\", \"bbox\": [386, 156, 484, 175]}, {\"cell\": \"Median (IQR)\", \"bbox\": [0, 179, 44, 189]}, {\"cell\": \"P = 0.0054 Early p RA vs early resolving arthritis\", \"bbox\": [386, 179, 481, 198]}, {\"cell\": \"Disease duration, weeks;\", \"bbox\": [0, 202, 80, 212]}, {\"cell\": \"6.5 (4-9.5)\", \"bbox\": [96, 202, 128, 212]}, {\"cell\": \"8 (6-10)\", \"bbox\": [164, 202, 190, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 202, 270, 212]}, {\"cell\": \"42 (22.25-82.5)\", \"bbox\": [318, 202, 366, 212]}, {\"cell\": \"P < 0.0001 Established RA vs early p RA\", \"bbox\": [386, 202, 478, 221]}, {\"cell\": \"Median (IQR)\", \"bbox\": [0, 216, 44, 226]}, {\"cell\": \"Tender joint count 28;\", \"bbox\": [0, 230, 74, 240]}, {\"cell\": \"2.5 (1-4.75)\", \"bbox\": [96, 230, 132, 240]}, {\"cell\": \"7 (2-17)\", \"bbox\": [164, 230, 190, 240]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 230, 280, 240]}, {\"cell\": \"8.5 (4.25-19.75)\", \"bbox\": [318, 230, 367, 240]}, {\"cell\": \"P = 0.0072 Early p arthritis (all) vs early resolving arthritis\", \"bbox\": [386, 230, 484, 249]}, {\"cell\": \"Median (IQR)\", \"bbox\": [0, 253, 44, 263]}, {\"cell\": \"P = 0.0072 Early p RA vs early resolving arthritis\", \"bbox\": [386, 253, 481, 272]}, {\"cell\": \"Swollen joint count 28;\", \"bbox\": [0, 276, 76, 286]}, {\"cell\": \"1 (1-3.5)\", \"bbox\": [96, 276, 123, 286]}, {\"cell\": \"4 (1-11)\", \"bbox\": [164, 276, 190, 286]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 276, 266, 286]}, {\"cell\": \"7 (4-13.5)\", \"bbox\": [318, 276, 349, 286]}, {\"cell\": \"P = 0.0034 Early p arthritis (all) vs early resolving arthritis\", \"bbox\": [386, 276, 484, 295]}, {\"cell\": \"Median (IQR)\", \"bbox\": [0, 299, 44, 309]}, {\"cell\": \"P = 0.0001 Early p RA vs early resolving arthritis\", \"bbox\": [386, 299, 481, 318]}, {\"cell\": \"RF + ve\", \"bbox\": [0, 322, 25, 332]}, {\"cell\": \"3 (12.5%)\", \"bbox\": [96, 322, 127, 332]}, {\"cell\": \"10 (32%)\", \"bbox\": [164, 322, 194, 332]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 322, 261, 332]}, {\"cell\": \"8 (40%)\", \"bbox\": [318, 322, 344, 332]}, {\"cell\": \"ns\", \"bbox\": [386, 322, 396, 332]}, {\"cell\": \"n (%)\", \"bbox\": [0, 336, 19, 346]}, {\"cell\": \"Anti-CCP antibodies\", \"bbox\": [0, 350, 66, 360]}, {\"cell\": \"0 (0%)\", \"bbox\": [96, 350, 118, 360]}, {\"cell\": \"9 (29%)\", \"bbox\": [164, 350, 190, 360]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 350, 261, 360]}, {\"cell\": \"11 (55%)\", \"bbox\": [318, 350, 347, 360]}, {\"cell\": \"P = 0.0004\", \"bbox\": [386, 350, 421, 360]}, {\"cell\": \"n (%)\", \"bbox\": [1, 364, 19, 374]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4431033_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
RegionsDischarges of foreignersPercentage of total hospitalisation
[EMPTY_CELL]N%[EMPTY_CELL]
North[EMPTY_CELL]62.73.1
Piemonte[EMPTY_CELL]8.83.0
Valle d'Aosta[EMPTY_CELL]0.22.8
Lombardia[EMPTY_CELL]24.73.3
Bolzano[EMPTY_CELL]1.74.6
Trento[EMPTY_CELL]1.23.2
Veneto[EMPTY_CELL]10.63.1
Friuli Venezia Giulia[EMPTY_CELL]2.02.5
Liguria[EMPTY_CELL]4.02.8
Emilia Romagna[EMPTY_CELL]9.52.8
Center[EMPTY_CELL]25.63.0
Toscana[EMPTY_CELL]8.83.4
Umbria[EMPTY_CELL]2.23.0
Marche[EMPTY_CELL]2.01.8
Lazio[EMPTY_CELL]12.73.1
South and Islands[EMPTY_CELL]11.60.7
Abruzzo[EMPTY_CELL]1.10.9
Molise[EMPTY_CELL]0.10.4
Campania[EMPTY_CELL]3.90.9
Puglia[EMPTY_CELL]1.90.5
Basilicataa[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Calabria[EMPTY_CELL]0.90.6
Sicilia[EMPTY_CELL]2.70.7
Sardegna[EMPTY_CELL]1.10.9
Total[EMPTY_CELL]100.02.2
\", \"cells\": [{\"cell\": \"Regions\", \"bbox\": [50, 4, 78, 14]}, {\"cell\": \"Discharges of foreigners\", \"bbox\": [209, 4, 292, 14]}, {\"cell\": \"Percentage of total hospitalisation\", \"bbox\": [380, 4, 496, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"N\", \"bbox\": [184, 27, 193, 36]}, {\"cell\": \"%\", \"bbox\": [309, 27, 317, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"North\", \"bbox\": [4, 49, 28, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 49, 202, 59]}, {\"cell\": \"62.7\", \"bbox\": [305, 49, 321, 59]}, {\"cell\": \"3.1\", \"bbox\": [432, 49, 444, 59]}, {\"cell\": \"Piemonte\", \"bbox\": [90, 59, 123, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [177, 59, 200, 69]}, {\"cell\": \"8.8\", \"bbox\": [307, 59, 319, 69]}, {\"cell\": \"3.0\", \"bbox\": [432, 59, 444, 69]}, {\"cell\": \"Valle d'Aosta\", \"bbox\": [78, 69, 123, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [181, 69, 196, 79]}, {\"cell\": \"0.2\", \"bbox\": [307, 69, 319, 79]}, {\"cell\": \"2.8\", \"bbox\": [432, 69, 444, 79]}, {\"cell\": \"Lombardia\", \"bbox\": [86, 80, 123, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [177, 80, 200, 89]}, {\"cell\": \"24.7\", \"bbox\": [305, 80, 321, 89]}, {\"cell\": \"3.3\", \"bbox\": [432, 80, 444, 89]}, {\"cell\": \"Bolzano\", \"bbox\": [95, 90, 123, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [179, 90, 198, 100]}, {\"cell\": \"1.7\", \"bbox\": [307, 90, 319, 100]}, {\"cell\": \"4.6\", \"bbox\": [432, 90, 444, 100]}, {\"cell\": \"Trento\", \"bbox\": [98, 100, 123, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [179, 100, 198, 110]}, {\"cell\": \"1.2\", \"bbox\": [307, 100, 319, 110]}, {\"cell\": \"3.2\", \"bbox\": [432, 100, 444, 110]}, {\"cell\": \"Veneto\", \"bbox\": [97, 110, 123, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [177, 110, 200, 120]}, {\"cell\": \"10.6\", \"bbox\": [305, 110, 321, 120]}, {\"cell\": \"3.1\", \"bbox\": [432, 110, 444, 120]}, {\"cell\": \"Friuli Venezia Giulia\", \"bbox\": [55, 121, 123, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [179, 121, 198, 130]}, {\"cell\": \"2.0\", \"bbox\": [307, 121, 319, 130]}, {\"cell\": \"2.5\", \"bbox\": [432, 121, 444, 130]}, {\"cell\": \"Liguria\", \"bbox\": [99, 131, 123, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [177, 131, 200, 141]}, {\"cell\": \"4.0\", \"bbox\": [307, 131, 319, 141]}, {\"cell\": \"2.8\", \"bbox\": [432, 131, 444, 141]}, {\"cell\": \"Emilia Romagna\", \"bbox\": [69, 141, 123, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [177, 141, 200, 151]}, {\"cell\": \"9.5\", \"bbox\": [307, 141, 319, 151]}, {\"cell\": \"2.8\", \"bbox\": [432, 141, 444, 151]}, {\"cell\": \"Center\", \"bbox\": [4, 162, 30, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [177, 162, 200, 171]}, {\"cell\": \"25.6\", \"bbox\": [305, 162, 321, 171]}, {\"cell\": \"3.0\", \"bbox\": [432, 162, 444, 171]}, {\"cell\": \"Toscana\", \"bbox\": [94, 172, 123, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [177, 172, 200, 182]}, {\"cell\": \"8.8\", \"bbox\": [307, 172, 319, 182]}, {\"cell\": \"3.4\", \"bbox\": [432, 172, 444, 182]}, {\"cell\": \"Umbria\", \"bbox\": [96, 182, 123, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [179, 182, 198, 192]}, {\"cell\": \"2.2\", \"bbox\": [307, 182, 319, 192]}, {\"cell\": \"3.0\", \"bbox\": [432, 182, 444, 192]}, {\"cell\": \"Marche\", \"bbox\": [96, 192, 123, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [179, 192, 198, 202]}, {\"cell\": \"2.0\", \"bbox\": [307, 192, 319, 202]}, {\"cell\": \"1.8\", \"bbox\": [432, 192, 444, 202]}, {\"cell\": \"Lazio\", \"bbox\": [104, 203, 123, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [177, 203, 200, 212]}, {\"cell\": \"12.7\", \"bbox\": [305, 203, 321, 212]}, {\"cell\": \"3.1\", \"bbox\": [432, 203, 444, 212]}, {\"cell\": \"South and Islands\", \"bbox\": [4, 223, 64, 233]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [177, 223, 200, 233]}, {\"cell\": \"11.6\", \"bbox\": [305, 223, 321, 233]}, {\"cell\": \"0.7\", \"bbox\": [432, 223, 444, 233]}, {\"cell\": \"Abruzzo\", \"bbox\": [93, 233, 123, 243]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [179, 233, 198, 243]}, {\"cell\": \"1.1\", \"bbox\": [307, 233, 319, 243]}, {\"cell\": \"0.9\", \"bbox\": [432, 233, 444, 243]}, {\"cell\": \"Molise\", \"bbox\": [100, 244, 123, 253]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [181, 244, 196, 253]}, {\"cell\": \"0.1\", \"bbox\": [307, 244, 319, 253]}, {\"cell\": \"0.4\", \"bbox\": [432, 244, 444, 253]}, {\"cell\": \"Campania\", \"bbox\": [88, 254, 123, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [177, 254, 200, 264]}, {\"cell\": \"3.9\", \"bbox\": [307, 254, 319, 264]}, {\"cell\": \"0.9\", \"bbox\": [432, 254, 444, 264]}, {\"cell\": \"Puglia\", \"bbox\": [102, 264, 123, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [179, 264, 198, 274]}, {\"cell\": \"1.9\", \"bbox\": [307, 264, 319, 274]}, {\"cell\": \"0.5\", \"bbox\": [432, 264, 444, 274]}, {\"cell\": \"Basilicataa\", \"bbox\": [89, 274, 123, 284]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Calabria\", \"bbox\": [94, 285, 123, 294]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [179, 285, 198, 294]}, {\"cell\": \"0.9\", \"bbox\": [307, 285, 319, 294]}, {\"cell\": \"0.6\", \"bbox\": [432, 285, 444, 294]}, {\"cell\": \"Sicilia\", \"bbox\": [103, 295, 123, 305]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [179, 295, 198, 305]}, {\"cell\": \"2.7\", \"bbox\": [307, 295, 319, 305]}, {\"cell\": \"0.7\", \"bbox\": [432, 295, 444, 305]}, {\"cell\": \"Sardegna\", \"bbox\": [91, 305, 123, 315]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [179, 305, 198, 315]}, {\"cell\": \"1.1\", \"bbox\": [307, 305, 319, 315]}, {\"cell\": \"0.9\", \"bbox\": [432, 305, 444, 315]}, {\"cell\": \"Total\", \"bbox\": [104, 326, 123, 335]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 326, 202, 335]}, {\"cell\": \"100.0\", \"bbox\": [303, 326, 323, 335]}, {\"cell\": \"2.2\", \"bbox\": [432, 326, 444, 335]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC1475860_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]OverallAlbumin ≥ 4.0Albumin < 4.0P value
Number of patients[EMPTY_CELL]3620[EMPTY_CELL]
Age (year)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.6563
Median (range)[EMPTY_CELL]52 (23–70)56 (28–68)[EMPTY_CELL]
ECOG performance status score – no. (%)[EMPTY_CELL]
0 -1[EMPTY_CELL]3315[EMPTY_CELL]
2-[EMPTY_CELL]35[EMPTY_CELL]
Histological diagnosis – no. (%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.2583
Serous cystadenocarcinoma[EMPTY_CELL]2512[EMPTY_CELL]
Endometrioid adenocarcinoma[EMPTY_CELL]51[EMPTY_CELL]
Clear cell adenocarcinoma[EMPTY_CELL]23[EMPTY_CELL]
Others[EMPTY_CELL]31[EMPTY_CELL]
Unknown[EMPTY_CELL]13[EMPTY_CELL]
Site of metastasis – no. (%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Peritoneum[EMPTY_CELL]2090.1413
Liver[EMPTY_CELL]740.5185
Ascites[EMPTY_CELL]1380.4371
Peptide[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.1694
WT1[EMPTY_CELL]3115[EMPTY_CELL]
MUC1[EMPTY_CELL]2712[EMPTY_CELL]
CA125[EMPTY_CELL]79[EMPTY_CELL]
Number of DC vaccine administration
Median (range)[EMPTY_CELL]7 (5–18)7 (5–20)0.6867
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Overall\", \"bbox\": [162, 4, 189, 12]}, {\"cell\": \"Albumin ≥ 4.0\", \"bbox\": [248, 4, 297, 12]}, {\"cell\": \"Albumin < 4.0\", \"bbox\": [352, 4, 402, 12]}, {\"cell\": \"P value\", \"bbox\": [457, 4, 484, 12]}, {\"cell\": \"Number of patients\", \"bbox\": [0, 17, 65, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 17, 180, 27]}, {\"cell\": \"36\", \"bbox\": [268, 17, 278, 27]}, {\"cell\": \"20\", \"bbox\": [372, 17, 382, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Age (year)\", \"bbox\": [0, 31, 35, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.6563\", \"bbox\": [459, 31, 482, 41]}, {\"cell\": \"Median (range)\", \"bbox\": [0, 45, 51, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 45, 193, 55]}, {\"cell\": \"52 (23–70)\", \"bbox\": [255, 45, 290, 55]}, {\"cell\": \"56 (28–68)\", \"bbox\": [360, 45, 395, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"ECOG performance status score – no. (%)\", \"bbox\": [1, 59, 135, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 59, 482, 69]}, {\"cell\": \"0 -1\", \"bbox\": [0, 73, 15, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 73, 187, 83]}, {\"cell\": \"33\", \"bbox\": [268, 73, 278, 83]}, {\"cell\": \"15\", \"bbox\": [372, 73, 382, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2-\", \"bbox\": [0, 87, 9, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 87, 185, 97]}, {\"cell\": \"3\", \"bbox\": [270, 87, 276, 97]}, {\"cell\": \"5\", \"bbox\": [374, 87, 380, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Histological diagnosis – no. (%)\", \"bbox\": [0, 101, 103, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.2583\", \"bbox\": [459, 101, 482, 111]}, {\"cell\": \"Serous cystadenocarcinoma\", \"bbox\": [1, 115, 92, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 115, 187, 125]}, {\"cell\": \"25\", \"bbox\": [268, 115, 278, 125]}, {\"cell\": \"12\", \"bbox\": [372, 115, 382, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Endometrioid adenocarcinoma\", \"bbox\": [1, 129, 102, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 129, 185, 139]}, {\"cell\": \"5\", \"bbox\": [270, 129, 276, 139]}, {\"cell\": \"1\", \"bbox\": [374, 129, 380, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Clear cell adenocarcinoma\", \"bbox\": [1, 143, 87, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 143, 186, 153]}, {\"cell\": \"2\", \"bbox\": [270, 143, 276, 153]}, {\"cell\": \"3\", \"bbox\": [374, 143, 380, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Others\", \"bbox\": [1, 157, 24, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 157, 186, 167]}, {\"cell\": \"3\", \"bbox\": [270, 157, 276, 167]}, {\"cell\": \"1\", \"bbox\": [374, 157, 380, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Unknown\", \"bbox\": [1, 171, 34, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 171, 186, 181]}, {\"cell\": \"1\", \"bbox\": [270, 171, 276, 181]}, {\"cell\": \"3\", \"bbox\": [374, 171, 380, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Site of metastasis – no. (%)\", \"bbox\": [1, 185, 89, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Peritoneum\", \"bbox\": [1, 199, 40, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 199, 187, 209]}, {\"cell\": \"20\", \"bbox\": [268, 199, 278, 209]}, {\"cell\": \"9\", \"bbox\": [374, 199, 380, 209]}, {\"cell\": \"0.1413\", \"bbox\": [459, 199, 482, 209]}, {\"cell\": \"Liver\", \"bbox\": [1, 213, 17, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 213, 187, 223]}, {\"cell\": \"7\", \"bbox\": [270, 213, 276, 223]}, {\"cell\": \"4\", \"bbox\": [374, 213, 380, 223]}, {\"cell\": \"0.5185\", \"bbox\": [459, 213, 482, 223]}, {\"cell\": \"Ascites\", \"bbox\": [1, 227, 24, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 227, 187, 237]}, {\"cell\": \"13\", \"bbox\": [268, 227, 278, 237]}, {\"cell\": \"8\", \"bbox\": [374, 227, 380, 237]}, {\"cell\": \"0.4371\", \"bbox\": [459, 227, 482, 237]}, {\"cell\": \"Peptide\", \"bbox\": [1, 241, 27, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.1694\", \"bbox\": [459, 241, 482, 251]}, {\"cell\": \"WT1\", \"bbox\": [1, 255, 16, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 255, 187, 265]}, {\"cell\": \"31\", \"bbox\": [268, 255, 278, 265]}, {\"cell\": \"15\", \"bbox\": [372, 255, 382, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"MUC1\", \"bbox\": [1, 269, 22, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 269, 187, 279]}, {\"cell\": \"27\", \"bbox\": [268, 269, 278, 279]}, {\"cell\": \"12\", \"bbox\": [372, 269, 382, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CA125\", \"bbox\": [1, 283, 23, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 283, 187, 293]}, {\"cell\": \"7\", \"bbox\": [270, 283, 276, 293]}, {\"cell\": \"9\", \"bbox\": [374, 283, 380, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Number of DC vaccine administration\", \"bbox\": [1, 297, 124, 307]}, {\"cell\": \"Median (range)\", \"bbox\": [1, 311, 51, 321]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [161, 311, 189, 321]}, {\"cell\": \"7 (5–18)\", \"bbox\": [259, 311, 287, 321]}, {\"cell\": \"7 (5–20)\", \"bbox\": [363, 311, 391, 321]}, {\"cell\": \"0.6867\", \"bbox\": [459, 311, 482, 321]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4108140_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Reponses in Year-2 telephone interviews (average use frequency for a 3-month period)bReponses in web surveys (household average # of uses in a 3-month period)% of web surveys that agreed with telephone surveysKappa coefficient
0-12-34 or more
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.22
[EMPTY_CELL]74%9%3%86%[-0.01,0.46]
[EMPTY_CELL]8%1%0%17%[EMPTY_CELL]
[EMPTY_CELL]0%3%3%50%[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.06
[EMPTY_CELL]70%9%4%85%[-0.15,0.28]
[EMPTY_CELL]11%2%0%17%[EMPTY_CELL]
[EMPTY_CELL]2%4%0%0%[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]—
[EMPTY_CELL]90%10%0%90%[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.17
[EMPTY_CELL]51%20%4%68%[-0.06,0.41]
[EMPTY_CELL]9%7%7%30%[EMPTY_CELL]
[EMPTY_CELL]0%0%2%100%[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Reponses in Year-2 telephone interviews (average use frequency for a 3-month period)b\", \"bbox\": [1, 4, 156, 22]}, {\"cell\": \"Reponses in web surveys (household average # of uses in a 3-month period)\", \"bbox\": [164, 4, 333, 22]}, {\"cell\": \"% of web surveys that agreed with telephone surveys\", \"bbox\": [340, 4, 441, 22]}, {\"cell\": \"Kappa coefficient\", \"bbox\": [447, 4, 484, 22]}, {\"cell\": \"0-1\", \"bbox\": [179, 26, 192, 36]}, {\"cell\": \"2-3\", \"bbox\": [231, 26, 244, 36]}, {\"cell\": \"4 or more\", \"bbox\": [282, 26, 319, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [38, 39, 119, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.22\", \"bbox\": [458, 39, 473, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [72, 53, 84, 62]}, {\"cell\": \"74%\", \"bbox\": [178, 53, 193, 62]}, {\"cell\": \"9%\", \"bbox\": [232, 53, 244, 62]}, {\"cell\": \"3%\", \"bbox\": [295, 53, 306, 62]}, {\"cell\": \"86%\", \"bbox\": [383, 53, 398, 62]}, {\"cell\": \"[-0.01,0.46]\", \"bbox\": [447, 53, 484, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [72, 67, 84, 76]}, {\"cell\": \"8%\", \"bbox\": [180, 67, 191, 76]}, {\"cell\": \"1%\", \"bbox\": [232, 67, 244, 76]}, {\"cell\": \"0%\", \"bbox\": [295, 67, 306, 76]}, {\"cell\": \"17%\", \"bbox\": [383, 67, 398, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [61, 81, 95, 90]}, {\"cell\": \"0%\", \"bbox\": [180, 81, 191, 90]}, {\"cell\": \"3%\", \"bbox\": [232, 81, 244, 90]}, {\"cell\": \"3%\", \"bbox\": [295, 81, 306, 90]}, {\"cell\": \"50%\", \"bbox\": [383, 81, 398, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 95, 116, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.06\", \"bbox\": [458, 95, 473, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [72, 109, 84, 118]}, {\"cell\": \"70%\", \"bbox\": [178, 109, 193, 118]}, {\"cell\": \"9%\", \"bbox\": [232, 109, 244, 118]}, {\"cell\": \"4%\", \"bbox\": [295, 109, 306, 118]}, {\"cell\": \"85%\", \"bbox\": [383, 109, 398, 118]}, {\"cell\": \"[-0.15,0.28]\", \"bbox\": [447, 109, 484, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [72, 123, 84, 132]}, {\"cell\": \"11%\", \"bbox\": [178, 123, 193, 132]}, {\"cell\": \"2%\", \"bbox\": [232, 123, 244, 132]}, {\"cell\": \"0%\", \"bbox\": [295, 123, 306, 132]}, {\"cell\": \"17%\", \"bbox\": [383, 123, 398, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [61, 137, 95, 146]}, {\"cell\": \"2%\", \"bbox\": [180, 137, 191, 146]}, {\"cell\": \"4%\", \"bbox\": [232, 137, 244, 146]}, {\"cell\": \"0%\", \"bbox\": [295, 137, 306, 146]}, {\"cell\": \"0%\", \"bbox\": [385, 137, 396, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [39, 151, 118, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"—\", \"bbox\": [461, 155, 471, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [72, 165, 84, 174]}, {\"cell\": \"90%\", \"bbox\": [178, 165, 193, 174]}, {\"cell\": \"10%\", \"bbox\": [230, 165, 245, 174]}, {\"cell\": \"0%\", \"bbox\": [295, 165, 306, 174]}, {\"cell\": \"90%\", \"bbox\": [383, 165, 398, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 179, 153, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.17\", \"bbox\": [458, 179, 473, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [72, 193, 84, 202]}, {\"cell\": \"51%\", \"bbox\": [178, 193, 193, 202]}, {\"cell\": \"20%\", \"bbox\": [230, 193, 245, 202]}, {\"cell\": \"4%\", \"bbox\": [295, 193, 306, 202]}, {\"cell\": \"68%\", \"bbox\": [383, 193, 398, 202]}, {\"cell\": \"[-0.06,0.41]\", \"bbox\": [447, 193, 484, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [72, 207, 84, 216]}, {\"cell\": \"9%\", \"bbox\": [180, 207, 191, 216]}, {\"cell\": \"7%\", \"bbox\": [232, 207, 244, 216]}, {\"cell\": \"7%\", \"bbox\": [295, 207, 306, 216]}, {\"cell\": \"30%\", \"bbox\": [383, 207, 398, 216]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [61, 221, 95, 230]}, {\"cell\": \"0%\", \"bbox\": [180, 221, 191, 230]}, {\"cell\": \"0%\", \"bbox\": [232, 221, 244, 230]}, {\"cell\": \"2%\", \"bbox\": [295, 221, 306, 230]}, {\"cell\": \"100%\", \"bbox\": [381, 221, 400, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3765515_006_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Year, total populationProcedureNumber clinically detectedtTGA positive in screeningEmA positive in screeningBiopsy-proven cases in screeningOverall frequency of biopsy proven CDPatients with CD and tTGA seropositive individuals
[EMPTY_CELL]Serum sampling[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Recording of detected CD. First serologic analysis254843356069a
[EMPTY_CELL]Recording of detected CD. Second serologic screening1645b67
[EMPTY_CELL][EMPTY_CELL]0.92% (26/2815)1.92%(54/2815)1.70% (47/2815)1.42%(40/2815)2.34%(66/2815)2.70%(76/2815)
[EMPTY_CELL][EMPTY_CELL]0.57–1.27%1.41–2.43%1.22–2.18%0.98–1.86%1.78–2.90%2.10–3.30%
\", \"cells\": [{\"cell\": \"Year, total population\", \"bbox\": [4, 4, 42, 23]}, {\"cell\": \"Procedure\", \"bbox\": [67, 4, 104, 14]}, {\"cell\": \"Number clinically detected\", \"bbox\": [129, 4, 161, 33]}, {\"cell\": \"tTGA positive in screening\", \"bbox\": [192, 4, 241, 23]}, {\"cell\": \"EmA positive in screening\", \"bbox\": [254, 4, 308, 23]}, {\"cell\": \"Biopsy-proven cases in screening\", \"bbox\": [316, 4, 366, 33]}, {\"cell\": \"Overall frequency of biopsy proven CD\", \"bbox\": [379, 4, 428, 42]}, {\"cell\": \"Patients with CD and tTGA seropositive individuals\", \"bbox\": [441, 4, 491, 42]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 54, 44, 64]}, {\"cell\": \"Serum sampling\", \"bbox\": [67, 54, 121, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 65, 43, 74]}, {\"cell\": \"Recording of detected CD. First serologic analysis\", \"bbox\": [67, 65, 116, 102]}, {\"cell\": \"25\", \"bbox\": [129, 65, 139, 74]}, {\"cell\": \"48\", \"bbox\": [192, 65, 202, 74]}, {\"cell\": \"43\", \"bbox\": [254, 65, 264, 74]}, {\"cell\": \"35\", \"bbox\": [316, 65, 327, 74]}, {\"cell\": \"60\", \"bbox\": [379, 65, 389, 74]}, {\"cell\": \"69a\", \"bbox\": [441, 64, 454, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 103, 43, 112]}, {\"cell\": \"Recording of detected CD. Second serologic screening\", \"bbox\": [67, 103, 114, 149]}, {\"cell\": \"1\", \"bbox\": [129, 103, 135, 112]}, {\"cell\": \"6\", \"bbox\": [192, 103, 198, 112]}, {\"cell\": \"4\", \"bbox\": [254, 103, 260, 112]}, {\"cell\": \"5b\", \"bbox\": [316, 102, 325, 112]}, {\"cell\": \"6\", \"bbox\": [379, 103, 385, 112]}, {\"cell\": \"7\", \"bbox\": [441, 103, 447, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 150, 59, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.92% (26/2815)\", \"bbox\": [129, 150, 186, 160]}, {\"cell\": \"1.92%(54/2815)\", \"bbox\": [192, 150, 226, 169]}, {\"cell\": \"1.70% (47/2815)\", \"bbox\": [254, 150, 310, 160]}, {\"cell\": \"1.42%(40/2815)\", \"bbox\": [316, 150, 351, 169]}, {\"cell\": \"2.34%(66/2815)\", \"bbox\": [379, 150, 413, 169]}, {\"cell\": \"2.70%(76/2815)\", \"bbox\": [441, 150, 475, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 179, 59, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.57–1.27%\", \"bbox\": [129, 179, 169, 188]}, {\"cell\": \"1.41–2.43%\", \"bbox\": [192, 179, 232, 188]}, {\"cell\": \"1.22–2.18%\", \"bbox\": [254, 179, 294, 188]}, {\"cell\": \"0.98–1.86%\", \"bbox\": [316, 179, 356, 188]}, {\"cell\": \"1.78–2.90%\", \"bbox\": [379, 179, 419, 188]}, {\"cell\": \"2.10–3.30%\", \"bbox\": [441, 179, 481, 188]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2711095_002_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
TestSpecies% PCV non-infected ± SDa% PCV infected ± SDaRegression coefficient valuetbPc
mHCT[EMPTY_CELL]25.8 ± 3.5321.5 ± 2.53−4.23−6.50<0.001*
Cattle[EMPTY_CELL]24.9 ± 5.49−0.97−1.070.287
CATT/T.evansi[EMPTY_CELL]25.9 ± 3.4623.8 ± 3.87−2.09−5.59<0.001*
Cattle[EMPTY_CELL]24.6 ± 4.19−2.02−4.20<0.001*
Equines[EMPTY_CELL]27.9 ± 7.9−5.71−2.560.012*
Goats[EMPTY_CELL]24.9 ± 4.57−1.79−1.730.084
Sheep[EMPTY_CELL]22.9 ± 6.11−2.12−1.770.088
RoTat 1.2 PCR[EMPTY_CELL]25.0 ± 3.4923.7 ± 3.81−2.16−5.39<0.001*
Cattle[EMPTY_CELL]26.3 ± 5.560.530.540.591
Equines[EMPTY_CELL]33.1 ± 7.1−0.98−0.050.960
Goats[EMPTY_CELL]23.3 ± 5.89−3.29−1.790.074
Sheep[EMPTY_CELL]25.5 ± 3.890.740.260.796
TvPRAC[EMPTY_CELL]25.7 ± 3.5723.8 ± 3.77−1.89−2.650.008*
Cattle[EMPTY_CELL]23.1 ± 2.91−2.83−1.920.056
Equines[EMPTY_CELL]33.2 ± 5−0.0030.000.999
Goats[EMPTY_CELL]26.9 ± 6.300.5430.260.792
Sheep[EMPTY_CELL]23.8 ± 4.33−1.05−0.360.716
\", \"cells\": [{\"cell\": \"Test\", \"bbox\": [1, 4, 17, 13]}, {\"cell\": \"Species\", \"bbox\": [63, 4, 91, 13]}, {\"cell\": \"% PCV non-infected ± SDa\", \"bbox\": [107, 2, 199, 13]}, {\"cell\": \"% PCV infected ± SDa\", \"bbox\": [215, 2, 290, 13]}, {\"cell\": \"Regression coefficient value\", \"bbox\": [307, 4, 406, 13]}, {\"cell\": \"tb\", \"bbox\": [422, 2, 430, 13]}, {\"cell\": \"Pc\", \"bbox\": [458, 2, 467, 13]}, {\"cell\": \"mHCT\", \"bbox\": [1, 17, 22, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [63, 17, 88, 26]}, {\"cell\": \"25.8 ± 3.53\", \"bbox\": [107, 17, 143, 26]}, {\"cell\": \"21.5 ± 2.53\", \"bbox\": [215, 17, 250, 26]}, {\"cell\": \"−4.23\", \"bbox\": [307, 17, 326, 26]}, {\"cell\": \"−6.50\", \"bbox\": [422, 17, 442, 26]}, {\"cell\": \"<0.001*\", \"bbox\": [458, 17, 484, 26]}, {\"cell\": \"Cattle\", \"bbox\": [63, 31, 83, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [107, 31, 143, 40]}, {\"cell\": \"24.9 ± 5.49\", \"bbox\": [215, 31, 250, 40]}, {\"cell\": \"−0.97\", \"bbox\": [307, 31, 326, 40]}, {\"cell\": \"−1.07\", \"bbox\": [422, 31, 442, 40]}, {\"cell\": \"0.287\", \"bbox\": [458, 31, 477, 40]}, {\"cell\": \"CATT/T.evansi\", \"bbox\": [1, 45, 46, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [63, 45, 88, 54]}, {\"cell\": \"25.9 ± 3.46\", \"bbox\": [107, 45, 143, 54]}, {\"cell\": \"23.8 ± 3.87\", \"bbox\": [215, 45, 250, 54]}, {\"cell\": \"−2.09\", \"bbox\": [307, 45, 326, 54]}, {\"cell\": \"−5.59\", \"bbox\": [422, 45, 442, 54]}, {\"cell\": \"<0.001*\", \"bbox\": [458, 45, 484, 54]}, {\"cell\": \"Cattle\", \"bbox\": [63, 59, 83, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [107, 59, 143, 68]}, {\"cell\": \"24.6 ± 4.19\", \"bbox\": [215, 59, 250, 68]}, {\"cell\": \"−2.02\", \"bbox\": [307, 59, 326, 68]}, {\"cell\": \"−4.20\", \"bbox\": [422, 59, 442, 68]}, {\"cell\": \"<0.001*\", \"bbox\": [458, 59, 484, 68]}, {\"cell\": \"Equines\", \"bbox\": [63, 73, 90, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [107, 73, 139, 82]}, {\"cell\": \"27.9 ± 7.9\", \"bbox\": [215, 73, 247, 82]}, {\"cell\": \"−5.71\", \"bbox\": [307, 73, 326, 82]}, {\"cell\": \"−2.56\", \"bbox\": [422, 73, 442, 82]}, {\"cell\": \"0.012*\", \"bbox\": [458, 73, 480, 82]}, {\"cell\": \"Goats\", \"bbox\": [63, 87, 83, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [107, 87, 143, 96]}, {\"cell\": \"24.9 ± 4.57\", \"bbox\": [215, 87, 250, 96]}, {\"cell\": \"−1.79\", \"bbox\": [307, 87, 326, 96]}, {\"cell\": \"−1.73\", \"bbox\": [422, 87, 442, 96]}, {\"cell\": \"0.084\", \"bbox\": [458, 87, 477, 96]}, {\"cell\": \"Sheep\", \"bbox\": [63, 101, 85, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [107, 101, 143, 110]}, {\"cell\": \"22.9 ± 6.11\", \"bbox\": [215, 101, 250, 110]}, {\"cell\": \"−2.12\", \"bbox\": [307, 101, 326, 110]}, {\"cell\": \"−1.77\", \"bbox\": [422, 101, 442, 110]}, {\"cell\": \"0.088\", \"bbox\": [458, 101, 477, 110]}, {\"cell\": \"RoTat 1.2 PCR\", \"bbox\": [1, 115, 47, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [63, 115, 88, 124]}, {\"cell\": \"25.0 ± 3.49\", \"bbox\": [107, 115, 143, 124]}, {\"cell\": \"23.7 ± 3.81\", \"bbox\": [215, 115, 250, 124]}, {\"cell\": \"−2.16\", \"bbox\": [307, 115, 326, 124]}, {\"cell\": \"−5.39\", \"bbox\": [422, 115, 442, 124]}, {\"cell\": \"<0.001*\", \"bbox\": [458, 115, 484, 124]}, {\"cell\": \"Cattle\", \"bbox\": [63, 129, 83, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [107, 129, 143, 138]}, {\"cell\": \"26.3 ± 5.56\", \"bbox\": [215, 129, 250, 138]}, {\"cell\": \"0.53\", \"bbox\": [307, 129, 322, 138]}, {\"cell\": \"0.54\", \"bbox\": [422, 129, 437, 138]}, {\"cell\": \"0.591\", \"bbox\": [458, 129, 477, 138]}, {\"cell\": \"Equines\", \"bbox\": [63, 143, 90, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [107, 143, 139, 152]}, {\"cell\": \"33.1 ± 7.1\", \"bbox\": [215, 143, 247, 152]}, {\"cell\": \"−0.98\", \"bbox\": [307, 143, 326, 152]}, {\"cell\": \"−0.05\", \"bbox\": [422, 143, 442, 152]}, {\"cell\": \"0.960\", \"bbox\": [458, 143, 477, 152]}, {\"cell\": \"Goats\", \"bbox\": [63, 157, 83, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [107, 157, 143, 166]}, {\"cell\": \"23.3 ± 5.89\", \"bbox\": [215, 157, 250, 166]}, {\"cell\": \"−3.29\", \"bbox\": [307, 157, 326, 166]}, {\"cell\": \"−1.79\", \"bbox\": [422, 157, 442, 166]}, {\"cell\": \"0.074\", \"bbox\": [458, 157, 477, 166]}, {\"cell\": \"Sheep\", \"bbox\": [63, 171, 85, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [107, 171, 143, 180]}, {\"cell\": \"25.5 ± 3.89\", \"bbox\": [215, 171, 250, 180]}, {\"cell\": \"0.74\", \"bbox\": [307, 171, 322, 180]}, {\"cell\": \"0.26\", \"bbox\": [422, 171, 437, 180]}, {\"cell\": \"0.796\", \"bbox\": [458, 171, 477, 180]}, {\"cell\": \"TvPRAC\", \"bbox\": [1, 185, 26, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [63, 185, 88, 194]}, {\"cell\": \"25.7 ± 3.57\", \"bbox\": [107, 185, 143, 194]}, {\"cell\": \"23.8 ± 3.77\", \"bbox\": [215, 185, 250, 194]}, {\"cell\": \"−1.89\", \"bbox\": [307, 185, 326, 194]}, {\"cell\": \"−2.65\", \"bbox\": [422, 185, 442, 194]}, {\"cell\": \"0.008*\", \"bbox\": [458, 185, 480, 194]}, {\"cell\": \"Cattle\", \"bbox\": [63, 199, 83, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [107, 199, 143, 208]}, {\"cell\": \"23.1 ± 2.91\", \"bbox\": [215, 199, 250, 208]}, {\"cell\": \"−2.83\", \"bbox\": [307, 199, 326, 208]}, {\"cell\": \"−1.92\", \"bbox\": [422, 199, 442, 208]}, {\"cell\": \"0.056\", \"bbox\": [458, 199, 477, 208]}, {\"cell\": \"Equines\", \"bbox\": [63, 213, 90, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [107, 213, 139, 222]}, {\"cell\": \"33.2 ± 5\", \"bbox\": [215, 213, 241, 222]}, {\"cell\": \"−0.003\", \"bbox\": [307, 213, 330, 222]}, {\"cell\": \"0.00\", \"bbox\": [422, 213, 437, 222]}, {\"cell\": \"0.999\", \"bbox\": [458, 213, 477, 222]}, {\"cell\": \"Goats\", \"bbox\": [63, 227, 83, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [107, 227, 143, 236]}, {\"cell\": \"26.9 ± 6.30\", \"bbox\": [215, 227, 250, 236]}, {\"cell\": \"0.543\", \"bbox\": [307, 227, 325, 236]}, {\"cell\": \"0.26\", \"bbox\": [422, 227, 437, 236]}, {\"cell\": \"0.792\", \"bbox\": [458, 227, 477, 236]}, {\"cell\": \"Sheep\", \"bbox\": [63, 241, 85, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [107, 241, 143, 250]}, {\"cell\": \"23.8 ± 4.33\", \"bbox\": [215, 241, 250, 250]}, {\"cell\": \"−1.05\", \"bbox\": [307, 241, 326, 250]}, {\"cell\": \"−0.36\", \"bbox\": [422, 241, 442, 250]}, {\"cell\": \"0.716\", \"bbox\": [458, 241, 477, 250]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4403896_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Patient IDPopulation 1 meanPopulation 2 meanPopulation 1 SDPopulation 2 SDPopulation 1 prevalencePopulation 2 prevalence
10.8582.4850.220[EMPTY_CELL]0.760.24
20.9351.9950.319[EMPTY_CELL]0.920.08
30.9131.8260.240[EMPTY_CELL]0.440.56
41.3752.2230.276[EMPTY_CELL]0.950.05
50.6591.2350.218[EMPTY_CELL]0.660.34
61.0074.7160.460[EMPTY_CELL]0.770.23
70.6952.3970.307[EMPTY_CELL]0.790.21
81.3532.5980.354[EMPTY_CELL]0.820.18
91.3553.0740.341[EMPTY_CELL]0.930.07
102.0064.9960.907[EMPTY_CELL]0.960.04
111.77914.0270.704[EMPTY_CELL]0.990.01
120.4641.3550.086[EMPTY_CELL]0.410.59
132.5539.0421.311[EMPTY_CELL]0.660.34
141.92511.5100.861[EMPTY_CELL]0.970.03
151.1593.7090.326[EMPTY_CELL]0.730.27
161.19013.3860.488[EMPTY_CELL]0.790.21
171.2352.3970.361[EMPTY_CELL]0.810.19
181.4054.8670.535[EMPTY_CELL]0.830.17
190.5391.7010.113[EMPTY_CELL]0.360.64
203.88814.1992.742[EMPTY_CELL]0.860.14
210.8493.3320.389[EMPTY_CELL]0.900.10
220.9747.3680.415[EMPTY_CELL]0.910.089
230.9895.4980.318[EMPTY_CELL]0.730.27
\", \"cells\": [{\"cell\": \"Patient ID\", \"bbox\": [0, 6, 35, 15]}, {\"cell\": \"Population 1 mean\", \"bbox\": [47, 6, 111, 15]}, {\"cell\": \"Population 2 mean\", \"bbox\": [122, 6, 186, 15]}, {\"cell\": \"Population 1 SD\", \"bbox\": [198, 6, 253, 15]}, {\"cell\": \"Population 2 SD\", \"bbox\": [264, 6, 320, 15]}, {\"cell\": \"Population 1 prevalence\", \"bbox\": [331, 6, 413, 15]}, {\"cell\": \"Population 2 prevalence\", \"bbox\": [425, 6, 507, 15]}, {\"cell\": \"1\", \"bbox\": [6, 24, 11, 31]}, {\"cell\": \"0.858\", \"bbox\": [69, 24, 88, 31]}, {\"cell\": \"2.485\", \"bbox\": [147, 24, 167, 31]}, {\"cell\": \"0.220\", \"bbox\": [216, 24, 235, 31]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 24, 304, 31]}, {\"cell\": \"0.76\", \"bbox\": [365, 24, 380, 31]}, {\"cell\": \"0.24\", \"bbox\": [457, 24, 473, 31]}, {\"cell\": \"2\", \"bbox\": [6, 33, 11, 40]}, {\"cell\": \"0.935\", \"bbox\": [69, 33, 88, 40]}, {\"cell\": \"1.995\", \"bbox\": [147, 33, 167, 40]}, {\"cell\": \"0.319\", \"bbox\": [216, 33, 235, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 33, 304, 40]}, {\"cell\": \"0.92\", \"bbox\": [365, 33, 380, 40]}, {\"cell\": \"0.08\", \"bbox\": [457, 33, 473, 40]}, {\"cell\": \"3\", \"bbox\": [6, 43, 12, 50]}, {\"cell\": \"0.913\", \"bbox\": [69, 43, 88, 50]}, {\"cell\": \"1.826\", \"bbox\": [147, 43, 167, 50]}, {\"cell\": \"0.240\", \"bbox\": [216, 43, 235, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 43, 304, 50]}, {\"cell\": \"0.44\", \"bbox\": [365, 43, 380, 50]}, {\"cell\": \"0.56\", \"bbox\": [457, 43, 473, 50]}, {\"cell\": \"4\", \"bbox\": [6, 52, 12, 59]}, {\"cell\": \"1.375\", \"bbox\": [69, 52, 89, 59]}, {\"cell\": \"2.223\", \"bbox\": [147, 52, 167, 59]}, {\"cell\": \"0.276\", \"bbox\": [216, 52, 235, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 52, 304, 59]}, {\"cell\": \"0.95\", \"bbox\": [365, 52, 380, 59]}, {\"cell\": \"0.05\", \"bbox\": [457, 52, 473, 59]}, {\"cell\": \"5\", \"bbox\": [6, 62, 12, 69]}, {\"cell\": \"0.659\", \"bbox\": [69, 62, 89, 69]}, {\"cell\": \"1.235\", \"bbox\": [147, 62, 167, 69]}, {\"cell\": \"0.218\", \"bbox\": [216, 62, 235, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 62, 304, 69]}, {\"cell\": \"0.66\", \"bbox\": [365, 62, 380, 69]}, {\"cell\": \"0.34\", \"bbox\": [457, 62, 473, 69]}, {\"cell\": \"6\", \"bbox\": [6, 71, 12, 78]}, {\"cell\": \"1.007\", \"bbox\": [69, 71, 89, 78]}, {\"cell\": \"4.716\", \"bbox\": [147, 71, 167, 78]}, {\"cell\": \"0.460\", \"bbox\": [216, 71, 235, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 71, 304, 78]}, {\"cell\": \"0.77\", \"bbox\": [365, 71, 380, 78]}, {\"cell\": \"0.23\", \"bbox\": [457, 71, 473, 78]}, {\"cell\": \"7\", \"bbox\": [6, 81, 12, 88]}, {\"cell\": \"0.695\", \"bbox\": [69, 81, 89, 88]}, {\"cell\": \"2.397\", \"bbox\": [147, 81, 167, 88]}, {\"cell\": \"0.307\", \"bbox\": [216, 81, 235, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 81, 304, 88]}, {\"cell\": \"0.79\", \"bbox\": [365, 81, 380, 88]}, {\"cell\": \"0.21\", \"bbox\": [457, 81, 473, 88]}, {\"cell\": \"8\", \"bbox\": [6, 90, 12, 97]}, {\"cell\": \"1.353\", \"bbox\": [69, 90, 89, 97]}, {\"cell\": \"2.598\", \"bbox\": [147, 90, 167, 97]}, {\"cell\": \"0.354\", \"bbox\": [216, 90, 235, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 90, 304, 97]}, {\"cell\": \"0.82\", \"bbox\": [365, 90, 380, 97]}, {\"cell\": \"0.18\", \"bbox\": [457, 90, 473, 97]}, {\"cell\": \"9\", \"bbox\": [6, 100, 12, 107]}, {\"cell\": \"1.355\", \"bbox\": [69, 100, 89, 107]}, {\"cell\": \"3.074\", \"bbox\": [147, 100, 167, 107]}, {\"cell\": \"0.341\", \"bbox\": [216, 100, 235, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 100, 304, 107]}, {\"cell\": \"0.93\", \"bbox\": [365, 100, 380, 107]}, {\"cell\": \"0.07\", \"bbox\": [457, 100, 473, 107]}, {\"cell\": \"10\", \"bbox\": [2, 109, 12, 116]}, {\"cell\": \"2.006\", \"bbox\": [69, 109, 89, 116]}, {\"cell\": \"4.996\", \"bbox\": [147, 109, 167, 116]}, {\"cell\": \"0.907\", \"bbox\": [216, 109, 235, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 109, 304, 116]}, {\"cell\": \"0.96\", \"bbox\": [365, 109, 380, 116]}, {\"cell\": \"0.04\", \"bbox\": [457, 109, 473, 116]}, {\"cell\": \"11\", \"bbox\": [2, 119, 12, 126]}, {\"cell\": \"1.779\", \"bbox\": [69, 119, 89, 126]}, {\"cell\": \"14.027\", \"bbox\": [143, 119, 167, 126]}, {\"cell\": \"0.704\", \"bbox\": [216, 119, 235, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 119, 304, 126]}, {\"cell\": \"0.99\", \"bbox\": [365, 119, 380, 126]}, {\"cell\": \"0.01\", \"bbox\": [457, 119, 473, 126]}, {\"cell\": \"12\", \"bbox\": [2, 128, 12, 135]}, {\"cell\": \"0.464\", \"bbox\": [69, 128, 89, 135]}, {\"cell\": \"1.355\", \"bbox\": [147, 128, 167, 135]}, {\"cell\": \"0.086\", \"bbox\": [216, 128, 235, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 128, 304, 135]}, {\"cell\": \"0.41\", \"bbox\": [365, 128, 380, 135]}, {\"cell\": \"0.59\", \"bbox\": [457, 128, 473, 135]}, {\"cell\": \"13\", \"bbox\": [2, 138, 12, 145]}, {\"cell\": \"2.553\", \"bbox\": [69, 138, 89, 145]}, {\"cell\": \"9.042\", \"bbox\": [147, 138, 167, 145]}, {\"cell\": \"1.311\", \"bbox\": [216, 138, 235, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 138, 304, 145]}, {\"cell\": \"0.66\", \"bbox\": [365, 138, 380, 145]}, {\"cell\": \"0.34\", \"bbox\": [457, 138, 473, 145]}, {\"cell\": \"14\", \"bbox\": [2, 147, 12, 154]}, {\"cell\": \"1.925\", \"bbox\": [69, 147, 89, 154]}, {\"cell\": \"11.510\", \"bbox\": [143, 147, 167, 154]}, {\"cell\": \"0.861\", \"bbox\": [216, 147, 235, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 147, 304, 154]}, {\"cell\": \"0.97\", \"bbox\": [365, 147, 380, 154]}, {\"cell\": \"0.03\", \"bbox\": [457, 147, 473, 154]}, {\"cell\": \"15\", \"bbox\": [2, 157, 12, 164]}, {\"cell\": \"1.159\", \"bbox\": [69, 157, 89, 164]}, {\"cell\": \"3.709\", \"bbox\": [147, 157, 167, 164]}, {\"cell\": \"0.326\", \"bbox\": [216, 157, 235, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 157, 304, 164]}, {\"cell\": \"0.73\", \"bbox\": [365, 157, 380, 164]}, {\"cell\": \"0.27\", \"bbox\": [457, 157, 473, 164]}, {\"cell\": \"16\", \"bbox\": [2, 166, 12, 173]}, {\"cell\": \"1.190\", \"bbox\": [69, 166, 89, 173]}, {\"cell\": \"13.386\", \"bbox\": [143, 166, 167, 173]}, {\"cell\": \"0.488\", \"bbox\": [216, 166, 235, 173]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 166, 304, 173]}, {\"cell\": \"0.79\", \"bbox\": [365, 166, 380, 173]}, {\"cell\": \"0.21\", \"bbox\": [457, 166, 473, 173]}, {\"cell\": \"17\", \"bbox\": [2, 176, 12, 183]}, {\"cell\": \"1.235\", \"bbox\": [69, 176, 89, 183]}, {\"cell\": \"2.397\", \"bbox\": [147, 176, 167, 183]}, {\"cell\": \"0.361\", \"bbox\": [216, 176, 235, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 176, 304, 183]}, {\"cell\": \"0.81\", \"bbox\": [365, 176, 380, 183]}, {\"cell\": \"0.19\", \"bbox\": [457, 176, 473, 183]}, {\"cell\": \"18\", \"bbox\": [2, 185, 12, 192]}, {\"cell\": \"1.405\", \"bbox\": [69, 185, 89, 192]}, {\"cell\": \"4.867\", \"bbox\": [147, 185, 167, 192]}, {\"cell\": \"0.535\", \"bbox\": [216, 185, 235, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 185, 304, 192]}, {\"cell\": \"0.83\", \"bbox\": [365, 185, 380, 192]}, {\"cell\": \"0.17\", \"bbox\": [457, 185, 473, 192]}, {\"cell\": \"19\", \"bbox\": [2, 195, 12, 202]}, {\"cell\": \"0.539\", \"bbox\": [69, 195, 89, 202]}, {\"cell\": \"1.701\", \"bbox\": [147, 195, 167, 202]}, {\"cell\": \"0.113\", \"bbox\": [216, 195, 235, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 195, 304, 202]}, {\"cell\": \"0.36\", \"bbox\": [365, 195, 380, 202]}, {\"cell\": \"0.64\", \"bbox\": [457, 195, 473, 202]}, {\"cell\": \"20\", \"bbox\": [2, 204, 12, 211]}, {\"cell\": \"3.888\", \"bbox\": [69, 204, 89, 211]}, {\"cell\": \"14.199\", \"bbox\": [144, 204, 167, 211]}, {\"cell\": \"2.742\", \"bbox\": [216, 204, 235, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 204, 304, 211]}, {\"cell\": \"0.86\", \"bbox\": [365, 204, 380, 211]}, {\"cell\": \"0.14\", \"bbox\": [457, 204, 473, 211]}, {\"cell\": \"21\", \"bbox\": [2, 214, 12, 221]}, {\"cell\": \"0.849\", \"bbox\": [69, 214, 89, 221]}, {\"cell\": \"3.332\", \"bbox\": [147, 214, 167, 221]}, {\"cell\": \"0.389\", \"bbox\": [216, 214, 235, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 214, 304, 221]}, {\"cell\": \"0.90\", \"bbox\": [365, 214, 380, 221]}, {\"cell\": \"0.10\", \"bbox\": [457, 214, 473, 221]}, {\"cell\": \"22\", \"bbox\": [2, 223, 12, 230]}, {\"cell\": \"0.974\", \"bbox\": [69, 223, 89, 230]}, {\"cell\": \"7.368\", \"bbox\": [147, 223, 167, 230]}, {\"cell\": \"0.415\", \"bbox\": [216, 223, 235, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 223, 304, 230]}, {\"cell\": \"0.91\", \"bbox\": [365, 223, 380, 230]}, {\"cell\": \"0.089\", \"bbox\": [457, 223, 477, 230]}, {\"cell\": \"23\", \"bbox\": [2, 233, 12, 240]}, {\"cell\": \"0.989\", \"bbox\": [69, 233, 89, 240]}, {\"cell\": \"5.498\", \"bbox\": [147, 233, 167, 240]}, {\"cell\": \"0.318\", \"bbox\": [216, 233, 235, 240]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 233, 304, 240]}, {\"cell\": \"0.73\", \"bbox\": [365, 233, 380, 240]}, {\"cell\": \"0.27\", \"bbox\": [457, 233, 473, 240]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5827541_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
ReferencePlant materialNumber of accessions
Worland et al. [4]World-wide cultivars[EMPTY_CELL]
Chebotar et al. [5]Ukrainian cultivars and breeding lines[EMPTY_CELL]
US and European cultivars and breeding lines20
Worland et al. [6]World-wide cultivars[EMPTY_CELL]
Ahmad and Sorrells [7]Mainly US and NZ cultivars[EMPTY_CELL]
Manifesto and Suárez [8]Argentinian cultivars[EMPTY_CELL]
Schmidt et al. [9]Australian cultivars[EMPTY_CELL]
Liu et al. [10]Chinese cultivars and breeding lines[EMPTY_CELL]
CIMMYT, US and European cultivars and breeding lines 98
Ganeva et al. [11]Bulgarian cultivars[EMPTY_CELL]
Zhang et al. [12]Chinese landraces, cultivars, and breeding lines[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Reference\", \"bbox\": [2, 9, 39, 19]}, {\"cell\": \"Plant material\", \"bbox\": [101, 9, 154, 19]}, {\"cell\": \"Number of accessions\", \"bbox\": [200, 4, 241, 25]}, {\"cell\": \"Worland et al. [4]\", \"bbox\": [2, 28, 68, 38]}, {\"cell\": \"World-wide cultivars\", \"bbox\": [101, 28, 178, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 28, 228, 38]}, {\"cell\": \"Chebotar et al. [5]\", \"bbox\": [2, 61, 70, 72]}, {\"cell\": \"Ukrainian cultivars and breeding lines\", \"bbox\": [101, 40, 188, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 46, 226, 56]}, {\"cell\": \"US and European cultivars and breeding lines\", \"bbox\": [101, 63, 183, 95]}, {\"cell\": \"20\", \"bbox\": [215, 74, 226, 84]}, {\"cell\": \"Worland et al. [6]\", \"bbox\": [2, 98, 68, 108]}, {\"cell\": \"World-wide cultivars\", \"bbox\": [101, 98, 178, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 98, 228, 108]}, {\"cell\": \"Ahmad and Sorrells [7]\", \"bbox\": [2, 116, 89, 126]}, {\"cell\": \"Mainly US and NZ cultivars\", \"bbox\": [101, 110, 171, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 116, 226, 126]}, {\"cell\": \"Manifesto and Suárez [8]\", \"bbox\": [2, 134, 95, 145]}, {\"cell\": \"Argentinian cultivars\", \"bbox\": [101, 134, 179, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 134, 228, 145]}, {\"cell\": \"Schmidt et al. [9]\", \"bbox\": [2, 148, 67, 158]}, {\"cell\": \"Australian cultivars\", \"bbox\": [101, 148, 173, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 148, 226, 158]}, {\"cell\": \"Liu et al. [10]\", \"bbox\": [2, 182, 53, 192]}, {\"cell\": \"Chinese cultivars and breeding lines\", \"bbox\": [101, 161, 180, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 166, 228, 176]}, {\"cell\": \"CIMMYT, US and European cultivars and breeding lines\", \"bbox\": [101, 184, 186, 215]}, {\"cell\": \" 98\", \"bbox\": [215, 194, 226, 205]}, {\"cell\": \"Ganeva et al. [11]\", \"bbox\": [2, 218, 68, 228]}, {\"cell\": \"Bulgarian cultivars\", \"bbox\": [101, 218, 171, 228]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 218, 226, 228]}, {\"cell\": \"Zhang et al. [12]\", \"bbox\": [2, 241, 64, 252]}, {\"cell\": \"Chinese landraces, cultivars, and breeding lines\", \"bbox\": [101, 231, 185, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 241, 228, 252]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3361164_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
GeneSenseAntisenseAmplicon length (base pair)GenBank accession number
Aggrecan[EMPTY_CELL]5'-AAA GTG TCC AAG GCA TCC AC-3'124NM_022190
Ank[EMPTY_CELL]5'-AAG GCA GCG AGA TAC AGG AA-3'173NM_053714
L27[EMPTY_CELL]5'-CCA CAG AGT ACC TTG TGG GC-3'227NM_022514
PC-1[EMPTY_CELL]5'-GCA GCT GGT AAG CAC AAT GA-3'165NM_053535
S29[EMPTY_CELL]5'-AGA CGC GGC AAG AGC GAG AA-3'67NM_012876
TNAP[EMPTY_CELL]5'-CAG ATG GGT GGG AAG AGG T-3'50NM_013059
Type IA2 collagen[EMPTY_CELL]5'-CAC CCC TTC TGC GTT GTA TT-3'197NM_053356
Type II collagen[EMPTY_CELL]5'-CTC TGT CTC CAG ATG CAC CA-3'161NM_012929
Type X collagen[EMPTY_CELL]5'-TGG GTC ACC CTT AGA TCC AG-3'241AJ131848
\", \"cells\": [{\"cell\": \"Gene\", \"bbox\": [4, 9, 25, 19]}, {\"cell\": \"Sense\", \"bbox\": [47, 9, 71, 19]}, {\"cell\": \"Antisense\", \"bbox\": [241, 9, 277, 19]}, {\"cell\": \"Amplicon length (base pair)\", \"bbox\": [403, 9, 441, 35]}, {\"cell\": \"GenBank accession number\", \"bbox\": [455, 9, 491, 35]}, {\"cell\": \"Aggrecan\", \"bbox\": [4, 41, 40, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [47, 41, 188, 51]}, {\"cell\": \"5'-AAA GTG TCC AAG GCA TCC AC-3'\", \"bbox\": [241, 41, 385, 51]}, {\"cell\": \"124\", \"bbox\": [414, 41, 430, 51]}, {\"cell\": \"NM_022190\", \"bbox\": [450, 41, 496, 51]}, {\"cell\": \"Ank\", \"bbox\": [4, 57, 20, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [47, 57, 195, 67]}, {\"cell\": \"5'-AAG GCA GCG AGA TAC AGG AA-3'\", \"bbox\": [241, 57, 388, 67]}, {\"cell\": \"173\", \"bbox\": [414, 57, 430, 67]}, {\"cell\": \"NM_053714\", \"bbox\": [450, 57, 496, 67]}, {\"cell\": \"L27\", \"bbox\": [4, 72, 20, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [47, 72, 186, 82]}, {\"cell\": \"5'-CCA CAG AGT ACC TTG TGG GC-3'\", \"bbox\": [241, 72, 386, 82]}, {\"cell\": \"227\", \"bbox\": [414, 72, 430, 82]}, {\"cell\": \"NM_022514\", \"bbox\": [450, 72, 496, 82]}, {\"cell\": \"PC-1\", \"bbox\": [4, 88, 25, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [47, 88, 191, 98]}, {\"cell\": \"5'-GCA GCT GGT AAG CAC AAT GA-3'\", \"bbox\": [241, 88, 385, 98]}, {\"cell\": \"165\", \"bbox\": [414, 88, 430, 98]}, {\"cell\": \"NM_053535\", \"bbox\": [450, 88, 496, 98]}, {\"cell\": \"S29\", \"bbox\": [4, 103, 21, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [47, 103, 229, 113]}, {\"cell\": \"5'-AGA CGC GGC AAG AGC GAG AA-3'\", \"bbox\": [241, 103, 391, 113]}, {\"cell\": \"67\", \"bbox\": [417, 103, 428, 113]}, {\"cell\": \"NM_012876\", \"bbox\": [450, 103, 496, 113]}, {\"cell\": \"TNAP\", \"bbox\": [4, 119, 27, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [47, 119, 189, 129]}, {\"cell\": \"5'-CAG ATG GGT GGG AAG AGG T-3'\", \"bbox\": [241, 119, 383, 129]}, {\"cell\": \"50\", \"bbox\": [416, 119, 428, 129]}, {\"cell\": \"NM_013059\", \"bbox\": [450, 119, 496, 129]}, {\"cell\": \"Type IA2 collagen\", \"bbox\": [4, 134, 37, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [47, 134, 190, 144]}, {\"cell\": \"5'-CAC CCC TTC TGC GTT GTA TT-3'\", \"bbox\": [241, 134, 380, 144]}, {\"cell\": \"197\", \"bbox\": [414, 134, 430, 144]}, {\"cell\": \"NM_053356\", \"bbox\": [450, 134, 496, 144]}, {\"cell\": \"Type II collagen\", \"bbox\": [4, 158, 35, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [47, 158, 188, 168]}, {\"cell\": \"5'-CTC TGT CTC CAG ATG CAC CA-3'\", \"bbox\": [241, 158, 383, 168]}, {\"cell\": \"161\", \"bbox\": [414, 158, 430, 168]}, {\"cell\": \"NM_012929\", \"bbox\": [450, 158, 496, 168]}, {\"cell\": \"Type X collagen\", \"bbox\": [4, 181, 35, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [47, 181, 191, 191]}, {\"cell\": \"5'-TGG GTC ACC CTT AGA TCC AG-3'\", \"bbox\": [241, 181, 384, 191]}, {\"cell\": \"241\", \"bbox\": [414, 181, 430, 191]}, {\"cell\": \"AJ131848\", \"bbox\": [454, 181, 492, 191]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2246241_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Surgery (n = 42)MitraClip (n = 42)p-value
[EMPTY_CELL]214.1 ± 57.2, (42)186.4 ± 73.7, (41)0.059~
[EMPTY_CELL]8 (19.0)1 (2.4)0.029*
[EMPTY_CELL]3.71 ± 4.00, (41)(0)[EMPTY_CELL]
[EMPTY_CELL]18.0 ± 7.60, (41)8.81 ± 6.40, (42)<0.001~
[EMPTY_CELL]42 (100)40 (95.2)0.494*
[EMPTY_CELL]3 (7.1)1 (2.4)0.616*
[EMPTY_CELL]3 (7.1)2 (4.8)1.000*
[EMPTY_CELL]2 (4.8)3 (7.1)1.000*
[EMPTY_CELL]1 (2.4)0 (0.0)[EMPTY_CELL]
[EMPTY_CELL]10 (23.8)2 (4.8)0.026*
[EMPTY_CELL]4 (9.8)1 (2.4)0.202*
[EMPTY_CELL]12 (28.6)3 (7.1)0.020*
[EMPTY_CELL]1 (2.4)0 (0.0)[EMPTY_CELL]
[EMPTY_CELL]9 (21.4)0 (0.0)[EMPTY_CELL]
[EMPTY_CELL]4 (9.5)0 (0.0)0.116*
[EMPTY_CELL]
[EMPTY_CELL]34 (82.9)6 (14.3)<0.001**
[EMPTY_CELL]7 (17.1)26 (61.9)[EMPTY_CELL]
[EMPTY_CELL]0 (0.0)9 (21.4)[EMPTY_CELL]
[EMPTY_CELL]0 (0.0)1 (2.4)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Surgery (n = 42)\", \"bbox\": [94, 4, 120, 22]}, {\"cell\": \"MitraClip (n = 42)\", \"bbox\": [151, 4, 181, 22]}, {\"cell\": \"p-value\", \"bbox\": [208, 4, 234, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 26, 72, 45]}, {\"cell\": \"214.1 ± 57.2, (42)\", \"bbox\": [94, 26, 147, 36]}, {\"cell\": \"186.4 ± 73.7, (41)\", \"bbox\": [151, 26, 204, 36]}, {\"cell\": \"0.059~\", \"bbox\": [208, 24, 231, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 49, 75, 68]}, {\"cell\": \"8 (19.0)\", \"bbox\": [94, 49, 119, 59]}, {\"cell\": \"1 (2.4)\", \"bbox\": [151, 49, 172, 59]}, {\"cell\": \"0.029*\", \"bbox\": [208, 47, 229, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 72, 75, 91]}, {\"cell\": \"3.71 ± 4.00, (41)\", \"bbox\": [94, 72, 145, 82]}, {\"cell\": \"(0)\", \"bbox\": [151, 72, 161, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 95, 71, 114]}, {\"cell\": \"18.0 ± 7.60, (41)\", \"bbox\": [94, 95, 145, 105]}, {\"cell\": \"8.81 ± 6.40, (42)\", \"bbox\": [151, 95, 202, 105]}, {\"cell\": \"<0.001~\", \"bbox\": [208, 93, 235, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 118, 83, 128]}, {\"cell\": \"42 (100)\", \"bbox\": [94, 118, 121, 128]}, {\"cell\": \"40 (95.2)\", \"bbox\": [151, 118, 180, 128]}, {\"cell\": \"0.494*\", \"bbox\": [208, 116, 229, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 132, 77, 142]}, {\"cell\": \"3 (7.1)\", \"bbox\": [94, 132, 115, 142]}, {\"cell\": \"1 (2.4)\", \"bbox\": [151, 132, 172, 142]}, {\"cell\": \"0.616*\", \"bbox\": [208, 130, 229, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 146, 75, 156]}, {\"cell\": \"3 (7.1)\", \"bbox\": [94, 146, 115, 156]}, {\"cell\": \"2 (4.8)\", \"bbox\": [151, 146, 172, 156]}, {\"cell\": \"1.000*\", \"bbox\": [208, 144, 229, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 160, 71, 170]}, {\"cell\": \"2 (4.8)\", \"bbox\": [94, 160, 115, 170]}, {\"cell\": \"3 (7.1)\", \"bbox\": [151, 160, 172, 170]}, {\"cell\": \"1.000*\", \"bbox\": [208, 158, 229, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 174, 65, 184]}, {\"cell\": \"1 (2.4)\", \"bbox\": [94, 174, 115, 184]}, {\"cell\": \"0 (0.0)\", \"bbox\": [151, 174, 172, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 188, 85, 198]}, {\"cell\": \"10 (23.8)\", \"bbox\": [94, 188, 123, 198]}, {\"cell\": \"2 (4.8)\", \"bbox\": [151, 188, 172, 198]}, {\"cell\": \"0.026*\", \"bbox\": [208, 186, 229, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 202, 88, 212]}, {\"cell\": \"4 (9.8)\", \"bbox\": [94, 202, 115, 212]}, {\"cell\": \"1 (2.4)\", \"bbox\": [151, 202, 172, 212]}, {\"cell\": \"0.202*\", \"bbox\": [208, 200, 229, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 216, 59, 226]}, {\"cell\": \"12 (28.6)\", \"bbox\": [94, 216, 123, 226]}, {\"cell\": \"3 (7.1)\", \"bbox\": [151, 216, 172, 226]}, {\"cell\": \"0.020*\", \"bbox\": [208, 214, 229, 226]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 230, 90, 240]}, {\"cell\": \"1 (2.4)\", \"bbox\": [94, 230, 115, 240]}, {\"cell\": \"0 (0.0)\", \"bbox\": [151, 230, 172, 240]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 244, 75, 263]}, {\"cell\": \"9 (21.4)\", \"bbox\": [94, 244, 119, 254]}, {\"cell\": \"0 (0.0)\", \"bbox\": [151, 244, 172, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 267, 43, 277]}, {\"cell\": \"4 (9.5)\", \"bbox\": [94, 267, 115, 277]}, {\"cell\": \"0 (0.0)\", \"bbox\": [151, 267, 172, 277]}, {\"cell\": \"0.116*\", \"bbox\": [208, 265, 229, 277]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 281, 81, 300]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 304, 27, 314]}, {\"cell\": \"34 (82.9)\", \"bbox\": [94, 304, 123, 314]}, {\"cell\": \"6 (14.3)\", \"bbox\": [151, 304, 176, 314]}, {\"cell\": \"<0.001**\", \"bbox\": [208, 302, 236, 314]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 318, 25, 328]}, {\"cell\": \"7 (17.1)\", \"bbox\": [94, 318, 119, 328]}, {\"cell\": \"26 (61.9)\", \"bbox\": [151, 318, 180, 328]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 332, 26, 342]}, {\"cell\": \"0 (0.0)\", \"bbox\": [94, 332, 115, 342]}, {\"cell\": \"9 (21.4)\", \"bbox\": [151, 332, 176, 342]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 346, 28, 356]}, {\"cell\": \"0 (0.0)\", \"bbox\": [94, 346, 115, 356]}, {\"cell\": \"1 (2.4)\", \"bbox\": [151, 346, 172, 356]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5360063_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Immunohistochemical stainsCloneSourcesDilutionResults
Pan cytokeratin[EMPTY_CELL]Neomarkers1:100Neg.
Keratin 8/18[EMPTY_CELL]Neomarkers1:200Neg.
Keratin 19[EMPTY_CELL]Neomarkers1:200Neg.
Renal Cell Carcinoma Marker(gp200)[EMPTY_CELL]Neomarkers1:100Neg.
Neuron-specific enolase (NSE)[EMPTY_CELL]Neomarkers1:1500Pos.
Epithelial membrane antigen (EMA)[EMPTY_CELL]Neomarkers1:500Pos. (focal)
CD10[EMPTY_CELL]Neomarkers1:50Pos. (focal)
Ki-67[EMPTY_CELL]Neomarkers1:500Pos. (1%)
Vimentin[EMPTY_CELL]Neomarkers1:300Pos.
S100 protein[EMPTY_CELL]Dako1:6000Pos.
a-inhibin[EMPTY_CELL]Dako1:1250Pos.
Epidermal growth factor receptor (EGFR)[EMPTY_CELL]Neomarkers1:100Pos.
calretinin[EMPTY_CELL]Neomarkers1:100Neg.
Melanoma Marker[EMPTY_CELL]Neomarkers1:50Neg.
Melan-A[EMPTY_CELL]Neomarkers1:100Neg.
Chromogranin A[EMPTY_CELL]Neomarkers1:200Neg.
Desmin[EMPTY_CELL]Neomarkers1:200Neg.
Actin[EMPTY_CELL]Neomarkers1:100Neg.
Myoglobin[EMPTY_CELL]Neomarkers1:800Neg.
CD68[EMPTY_CELL]Neomarkers1:100Neg.
CD34[EMPTY_CELL]Neomarkers1:80Neg.
\", \"cells\": [{\"cell\": \"Immunohistochemical stains\", \"bbox\": [1, 4, 101, 12]}, {\"cell\": \"Clone\", \"bbox\": [165, 4, 187, 12]}, {\"cell\": \"Sources\", \"bbox\": [286, 4, 315, 12]}, {\"cell\": \"Dilution\", \"bbox\": [358, 4, 388, 12]}, {\"cell\": \"Results\", \"bbox\": [420, 4, 446, 12]}, {\"cell\": \"Pan cytokeratin\", \"bbox\": [1, 17, 52, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 17, 194, 27]}, {\"cell\": \"Neomarkers\", \"bbox\": [286, 17, 326, 27]}, {\"cell\": \"1:100\", \"bbox\": [358, 17, 377, 27]}, {\"cell\": \"Neg.\", \"bbox\": [420, 17, 437, 27]}, {\"cell\": \"Keratin 8/18\", \"bbox\": [1, 29, 41, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 29, 180, 39]}, {\"cell\": \"Neomarkers\", \"bbox\": [286, 29, 326, 39]}, {\"cell\": \"1:200\", \"bbox\": [358, 29, 377, 39]}, {\"cell\": \"Neg.\", \"bbox\": [420, 29, 437, 39]}, {\"cell\": \"Keratin 19\", \"bbox\": [1, 41, 35, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 41, 191, 51]}, {\"cell\": \"Neomarkers\", \"bbox\": [286, 41, 326, 51]}, {\"cell\": \"1:200\", \"bbox\": [358, 41, 377, 51]}, {\"cell\": \"Neg.\", \"bbox\": [420, 41, 437, 51]}, {\"cell\": \"Renal Cell Carcinoma Marker(gp200)\", \"bbox\": [1, 53, 119, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 53, 186, 63]}, {\"cell\": \"Neomarkers\", \"bbox\": [286, 53, 326, 63]}, {\"cell\": \"1:100\", \"bbox\": [358, 53, 377, 63]}, {\"cell\": \"Neg.\", \"bbox\": [420, 53, 437, 63]}, {\"cell\": \"Neuron-specific enolase (NSE)\", \"bbox\": [1, 65, 98, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 65, 190, 75]}, {\"cell\": \"Neomarkers\", \"bbox\": [286, 65, 326, 75]}, {\"cell\": \"1:1500\", \"bbox\": [358, 65, 381, 75]}, {\"cell\": \"Pos.\", \"bbox\": [420, 65, 434, 75]}, {\"cell\": \"Epithelial membrane antigen (EMA)\", \"bbox\": [1, 77, 117, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 77, 179, 86]}, {\"cell\": \"Neomarkers\", \"bbox\": [286, 77, 326, 86]}, {\"cell\": \"1:500\", \"bbox\": [358, 77, 377, 86]}, {\"cell\": \"Pos. (focal)\", \"bbox\": [420, 77, 456, 86]}, {\"cell\": \"CD10\", \"bbox\": [1, 89, 20, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 89, 186, 98]}, {\"cell\": \"Neomarkers\", \"bbox\": [286, 89, 326, 98]}, {\"cell\": \"1:50\", \"bbox\": [358, 89, 373, 98]}, {\"cell\": \"Pos. (focal)\", \"bbox\": [420, 89, 456, 98]}, {\"cell\": \"Ki-67\", \"bbox\": [1, 101, 18, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 101, 179, 110]}, {\"cell\": \"Neomarkers\", \"bbox\": [286, 101, 326, 110]}, {\"cell\": \"1:500\", \"bbox\": [358, 101, 377, 110]}, {\"cell\": \"Pos. (1%)\", \"bbox\": [420, 101, 451, 110]}, {\"cell\": \"Vimentin\", \"bbox\": [1, 113, 31, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 113, 183, 122]}, {\"cell\": \"Neomarkers\", \"bbox\": [286, 113, 326, 122]}, {\"cell\": \"1:300\", \"bbox\": [358, 113, 377, 122]}, {\"cell\": \"Pos.\", \"bbox\": [420, 113, 434, 122]}, {\"cell\": \"S100 protein\", \"bbox\": [1, 125, 43, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 125, 234, 134]}, {\"cell\": \"Dako\", \"bbox\": [286, 125, 305, 134]}, {\"cell\": \"1:6000\", \"bbox\": [358, 125, 381, 134]}, {\"cell\": \"Pos.\", \"bbox\": [420, 125, 435, 134]}, {\"cell\": \"a-inhibin\", \"bbox\": [1, 137, 30, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 137, 175, 146]}, {\"cell\": \"Dako\", \"bbox\": [286, 137, 305, 146]}, {\"cell\": \"1:1250\", \"bbox\": [358, 137, 381, 146]}, {\"cell\": \"Pos.\", \"bbox\": [420, 137, 435, 146]}, {\"cell\": \"Epidermal growth factor receptor (EGFR)\", \"bbox\": [1, 149, 133, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 149, 187, 158]}, {\"cell\": \"Neomarkers\", \"bbox\": [286, 149, 326, 158]}, {\"cell\": \"1:100\", \"bbox\": [358, 149, 377, 158]}, {\"cell\": \"Pos.\", \"bbox\": [420, 149, 435, 158]}, {\"cell\": \"calretinin\", \"bbox\": [1, 161, 32, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 161, 183, 170]}, {\"cell\": \"Neomarkers\", \"bbox\": [286, 161, 326, 170]}, {\"cell\": \"1:100\", \"bbox\": [358, 161, 377, 170]}, {\"cell\": \"Neg.\", \"bbox\": [420, 161, 437, 170]}, {\"cell\": \"Melanoma Marker\", \"bbox\": [1, 173, 60, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 173, 190, 182]}, {\"cell\": \"Neomarkers\", \"bbox\": [286, 173, 326, 182]}, {\"cell\": \"1:50\", \"bbox\": [358, 173, 373, 182]}, {\"cell\": \"Neg.\", \"bbox\": [420, 173, 437, 182]}, {\"cell\": \"Melan-A\", \"bbox\": [1, 185, 29, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 185, 183, 194]}, {\"cell\": \"Neomarkers\", \"bbox\": [286, 185, 326, 194]}, {\"cell\": \"1:100\", \"bbox\": [358, 185, 377, 194]}, {\"cell\": \"Neg.\", \"bbox\": [420, 185, 437, 194]}, {\"cell\": \"Chromogranin A\", \"bbox\": [1, 197, 56, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 197, 183, 206]}, {\"cell\": \"Neomarkers\", \"bbox\": [286, 197, 326, 206]}, {\"cell\": \"1:200\", \"bbox\": [358, 197, 377, 206]}, {\"cell\": \"Neg.\", \"bbox\": [420, 197, 437, 206]}, {\"cell\": \"Desmin\", \"bbox\": [1, 208, 27, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 208, 254, 218]}, {\"cell\": \"Neomarkers\", \"bbox\": [286, 208, 326, 218]}, {\"cell\": \"1:200\", \"bbox\": [358, 208, 377, 218]}, {\"cell\": \"Neg.\", \"bbox\": [420, 208, 437, 218]}, {\"cell\": \"Actin\", \"bbox\": [1, 220, 19, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 220, 189, 230]}, {\"cell\": \"Neomarkers\", \"bbox\": [286, 220, 326, 230]}, {\"cell\": \"1:100\", \"bbox\": [358, 220, 377, 230]}, {\"cell\": \"Neg.\", \"bbox\": [420, 220, 437, 230]}, {\"cell\": \"Myoglobin\", \"bbox\": [1, 232, 37, 242]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 232, 254, 242]}, {\"cell\": \"Neomarkers\", \"bbox\": [286, 232, 326, 242]}, {\"cell\": \"1:800\", \"bbox\": [358, 232, 377, 242]}, {\"cell\": \"Neg.\", \"bbox\": [420, 232, 437, 242]}, {\"cell\": \"CD68\", \"bbox\": [1, 244, 20, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 244, 188, 254]}, {\"cell\": \"Neomarkers\", \"bbox\": [286, 244, 326, 254]}, {\"cell\": \"1:100\", \"bbox\": [358, 244, 377, 254]}, {\"cell\": \"Neg.\", \"bbox\": [420, 244, 437, 254]}, {\"cell\": \"CD34\", \"bbox\": [1, 256, 20, 266]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 256, 199, 266]}, {\"cell\": \"Neomarkers\", \"bbox\": [286, 256, 326, 266]}, {\"cell\": \"1:80\", \"bbox\": [358, 256, 373, 266]}, {\"cell\": \"Neg.\", \"bbox\": [420, 256, 437, 266]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3364142_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
NameAgeSexDriving frequencyMotion sickness sensitivityNo sign750-Intv.3500-Intv.
[EMPTY_CELL]23MEverydayChildhood---
[EMPTY_CELL]21MOccasionallyNone+++
[EMPTY_CELL]22MNoneChildhood++-
[EMPTY_CELL]28MEverydayNone+--
[EMPTY_CELL]29MNoneOccasionally++-
[EMPTY_CELL]23MNoneChildhood+-+
[EMPTY_CELL]21MOccasionallyOccasionally+--
[EMPTY_CELL]24MNoneNone+++
[EMPTY_CELL]28MNoneOccasionally--+
[EMPTY_CELL]27MOccasionallyNone+--
[EMPTY_CELL]28MOccasionallyNone+-+
[EMPTY_CELL]23MNoneNone++-
[EMPTY_CELL]26FNoneNone+++
[EMPTY_CELL]23FOccasionallyOccasionally-+-
[EMPTY_CELL]23FEverydayOccasionally-++
[EMPTY_CELL]25FNoneChildhood+-+
[EMPTY_CELL]21FOccasionallyOccasionally+-+
[EMPTY_CELL]24FNoneOccasionally+-+
[EMPTY_CELL]23FEverydayNone-+-
[EMPTY_CELL]22FNoneOccasionally+-+
[EMPTY_CELL]27FOccasionallyOccasionally++-
\", \"cells\": [{\"cell\": \"Name\", \"bbox\": [4, 4, 27, 14]}, {\"cell\": \"Age\", \"bbox\": [43, 4, 58, 14]}, {\"cell\": \"Sex\", \"bbox\": [83, 4, 97, 14]}, {\"cell\": \"Driving frequency\", \"bbox\": [119, 4, 180, 14]}, {\"cell\": \"Motion sickness sensitivity\", \"bbox\": [215, 4, 305, 14]}, {\"cell\": \"No sign\", \"bbox\": [337, 4, 365, 14]}, {\"cell\": \"750-Intv.\", \"bbox\": [392, 4, 423, 14]}, {\"cell\": \"3500-Intv.\", \"bbox\": [447, 4, 482, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 27, 25, 36]}, {\"cell\": \"23\", \"bbox\": [43, 27, 53, 36]}, {\"cell\": \"M\", \"bbox\": [83, 27, 92, 36]}, {\"cell\": \"Everyday\", \"bbox\": [119, 27, 151, 36]}, {\"cell\": \"Childhood\", \"bbox\": [215, 27, 252, 36]}, {\"cell\": \"-\", \"bbox\": [337, 27, 342, 36]}, {\"cell\": \"-\", \"bbox\": [392, 27, 397, 36]}, {\"cell\": \"-\", \"bbox\": [447, 27, 452, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 37, 19, 47]}, {\"cell\": \"21\", \"bbox\": [43, 37, 53, 47]}, {\"cell\": \"M\", \"bbox\": [83, 37, 91, 47]}, {\"cell\": \"Occasionally\", \"bbox\": [119, 37, 163, 47]}, {\"cell\": \"None\", \"bbox\": [215, 37, 236, 47]}, {\"cell\": \"+\", \"bbox\": [337, 37, 344, 47]}, {\"cell\": \"+\", \"bbox\": [392, 37, 399, 47]}, {\"cell\": \"+\", \"bbox\": [447, 37, 454, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 47, 23, 57]}, {\"cell\": \"22\", \"bbox\": [43, 47, 53, 57]}, {\"cell\": \"M\", \"bbox\": [83, 47, 92, 57]}, {\"cell\": \"None\", \"bbox\": [119, 47, 140, 57]}, {\"cell\": \"Childhood\", \"bbox\": [215, 47, 252, 57]}, {\"cell\": \"+\", \"bbox\": [337, 47, 344, 57]}, {\"cell\": \"+\", \"bbox\": [392, 47, 399, 57]}, {\"cell\": \"-\", \"bbox\": [447, 47, 452, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 57, 25, 67]}, {\"cell\": \"28\", \"bbox\": [43, 57, 53, 67]}, {\"cell\": \"M\", \"bbox\": [83, 57, 92, 67]}, {\"cell\": \"Everyday\", \"bbox\": [119, 57, 151, 67]}, {\"cell\": \"None\", \"bbox\": [215, 57, 236, 67]}, {\"cell\": \"+\", \"bbox\": [337, 57, 344, 67]}, {\"cell\": \"-\", \"bbox\": [392, 57, 397, 67]}, {\"cell\": \"-\", \"bbox\": [447, 57, 452, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 68, 27, 77]}, {\"cell\": \"29\", \"bbox\": [43, 68, 53, 77]}, {\"cell\": \"M\", \"bbox\": [83, 68, 92, 77]}, {\"cell\": \"None\", \"bbox\": [119, 68, 140, 77]}, {\"cell\": \"Occasionally\", \"bbox\": [215, 68, 259, 77]}, {\"cell\": \"+\", \"bbox\": [337, 68, 344, 77]}, {\"cell\": \"+\", \"bbox\": [392, 68, 399, 77]}, {\"cell\": \"-\", \"bbox\": [447, 68, 452, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 78, 22, 88]}, {\"cell\": \"23\", \"bbox\": [43, 78, 53, 88]}, {\"cell\": \"M\", \"bbox\": [83, 78, 92, 88]}, {\"cell\": \"None\", \"bbox\": [119, 78, 140, 88]}, {\"cell\": \"Childhood\", \"bbox\": [215, 78, 252, 88]}, {\"cell\": \"+\", \"bbox\": [337, 78, 344, 88]}, {\"cell\": \"-\", \"bbox\": [392, 78, 397, 88]}, {\"cell\": \"+\", \"bbox\": [447, 78, 454, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 88, 20, 98]}, {\"cell\": \"21\", \"bbox\": [43, 88, 53, 98]}, {\"cell\": \"M\", \"bbox\": [83, 88, 92, 98]}, {\"cell\": \"Occasionally\", \"bbox\": [119, 88, 163, 98]}, {\"cell\": \"Occasionally\", \"bbox\": [215, 88, 259, 98]}, {\"cell\": \"+\", \"bbox\": [337, 88, 344, 98]}, {\"cell\": \"-\", \"bbox\": [392, 88, 397, 98]}, {\"cell\": \"-\", \"bbox\": [447, 88, 452, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 98, 23, 108]}, {\"cell\": \"24\", \"bbox\": [43, 98, 53, 108]}, {\"cell\": \"M\", \"bbox\": [83, 98, 92, 108]}, {\"cell\": \"None\", \"bbox\": [119, 98, 140, 108]}, {\"cell\": \"None\", \"bbox\": [215, 98, 236, 108]}, {\"cell\": \"+\", \"bbox\": [337, 98, 344, 108]}, {\"cell\": \"+\", \"bbox\": [392, 98, 399, 108]}, {\"cell\": \"+\", \"bbox\": [447, 98, 454, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 109, 22, 118]}, {\"cell\": \"28\", \"bbox\": [43, 109, 53, 118]}, {\"cell\": \"M\", \"bbox\": [83, 109, 92, 118]}, {\"cell\": \"None\", \"bbox\": [119, 109, 140, 118]}, {\"cell\": \"Occasionally\", \"bbox\": [215, 109, 259, 118]}, {\"cell\": \"-\", \"bbox\": [337, 109, 342, 118]}, {\"cell\": \"-\", \"bbox\": [392, 109, 397, 118]}, {\"cell\": \"+\", \"bbox\": [447, 109, 454, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 119, 28, 129]}, {\"cell\": \"27\", \"bbox\": [43, 119, 53, 129]}, {\"cell\": \"M\", \"bbox\": [83, 119, 92, 129]}, {\"cell\": \"Occasionally\", \"bbox\": [119, 119, 163, 129]}, {\"cell\": \"None\", \"bbox\": [215, 119, 236, 129]}, {\"cell\": \"+\", \"bbox\": [337, 119, 344, 129]}, {\"cell\": \"-\", \"bbox\": [392, 119, 397, 129]}, {\"cell\": \"-\", \"bbox\": [447, 119, 452, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 129, 21, 139]}, {\"cell\": \"28\", \"bbox\": [43, 129, 53, 139]}, {\"cell\": \"M\", \"bbox\": [83, 129, 91, 139]}, {\"cell\": \"Occasionally\", \"bbox\": [119, 129, 163, 139]}, {\"cell\": \"None\", \"bbox\": [215, 129, 236, 139]}, {\"cell\": \"+\", \"bbox\": [337, 129, 344, 139]}, {\"cell\": \"-\", \"bbox\": [392, 129, 397, 139]}, {\"cell\": \"+\", \"bbox\": [447, 129, 454, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 139, 22, 149]}, {\"cell\": \"23\", \"bbox\": [43, 139, 53, 149]}, {\"cell\": \"M\", \"bbox\": [83, 139, 92, 149]}, {\"cell\": \"None\", \"bbox\": [119, 139, 140, 149]}, {\"cell\": \"None\", \"bbox\": [215, 139, 236, 149]}, {\"cell\": \"+\", \"bbox\": [337, 139, 344, 149]}, {\"cell\": \"+\", \"bbox\": [392, 139, 399, 149]}, {\"cell\": \"-\", \"bbox\": [447, 139, 452, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 150, 22, 159]}, {\"cell\": \"26\", \"bbox\": [43, 150, 53, 159]}, {\"cell\": \"F\", \"bbox\": [83, 150, 89, 159]}, {\"cell\": \"None\", \"bbox\": [119, 150, 140, 159]}, {\"cell\": \"None\", \"bbox\": [215, 150, 236, 159]}, {\"cell\": \"+\", \"bbox\": [337, 150, 344, 159]}, {\"cell\": \"+\", \"bbox\": [392, 150, 399, 159]}, {\"cell\": \"+\", \"bbox\": [447, 150, 454, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 160, 22, 170]}, {\"cell\": \"23\", \"bbox\": [43, 160, 53, 170]}, {\"cell\": \"F\", \"bbox\": [83, 160, 89, 170]}, {\"cell\": \"Occasionally\", \"bbox\": [119, 160, 163, 170]}, {\"cell\": \"Occasionally\", \"bbox\": [215, 160, 259, 170]}, {\"cell\": \"-\", \"bbox\": [337, 160, 342, 170]}, {\"cell\": \"+\", \"bbox\": [392, 160, 399, 170]}, {\"cell\": \"-\", \"bbox\": [447, 160, 452, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 170, 18, 180]}, {\"cell\": \"23\", \"bbox\": [43, 170, 53, 180]}, {\"cell\": \"F\", \"bbox\": [83, 170, 89, 180]}, {\"cell\": \"Everyday\", \"bbox\": [119, 170, 151, 180]}, {\"cell\": \"Occasionally\", \"bbox\": [215, 170, 259, 180]}, {\"cell\": \"-\", \"bbox\": [337, 170, 342, 180]}, {\"cell\": \"+\", \"bbox\": [392, 170, 399, 180]}, {\"cell\": \"+\", \"bbox\": [447, 170, 454, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 180, 26, 190]}, {\"cell\": \"25\", \"bbox\": [43, 180, 53, 190]}, {\"cell\": \"F\", \"bbox\": [83, 180, 89, 190]}, {\"cell\": \"None\", \"bbox\": [119, 180, 140, 190]}, {\"cell\": \"Childhood\", \"bbox\": [215, 180, 252, 190]}, {\"cell\": \"+\", \"bbox\": [337, 180, 344, 190]}, {\"cell\": \"-\", \"bbox\": [392, 180, 397, 190]}, {\"cell\": \"+\", \"bbox\": [447, 180, 454, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 191, 20, 200]}, {\"cell\": \"21\", \"bbox\": [43, 191, 53, 200]}, {\"cell\": \"F\", \"bbox\": [83, 191, 89, 200]}, {\"cell\": \"Occasionally\", \"bbox\": [119, 191, 163, 200]}, {\"cell\": \"Occasionally\", \"bbox\": [215, 191, 259, 200]}, {\"cell\": \"+\", \"bbox\": [337, 191, 344, 200]}, {\"cell\": \"-\", \"bbox\": [392, 191, 397, 200]}, {\"cell\": \"+\", \"bbox\": [447, 191, 454, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 201, 22, 211]}, {\"cell\": \"24\", \"bbox\": [43, 201, 53, 211]}, {\"cell\": \"F\", \"bbox\": [83, 201, 89, 211]}, {\"cell\": \"None\", \"bbox\": [119, 201, 140, 211]}, {\"cell\": \"Occasionally\", \"bbox\": [215, 201, 259, 211]}, {\"cell\": \"+\", \"bbox\": [337, 201, 344, 211]}, {\"cell\": \"-\", \"bbox\": [392, 201, 397, 211]}, {\"cell\": \"+\", \"bbox\": [447, 201, 454, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 211, 24, 221]}, {\"cell\": \"23\", \"bbox\": [43, 211, 53, 221]}, {\"cell\": \"F\", \"bbox\": [83, 211, 89, 221]}, {\"cell\": \"Everyday\", \"bbox\": [119, 211, 151, 221]}, {\"cell\": \"None\", \"bbox\": [215, 211, 236, 221]}, {\"cell\": \"-\", \"bbox\": [337, 211, 342, 221]}, {\"cell\": \"+\", \"bbox\": [392, 211, 399, 221]}, {\"cell\": \"-\", \"bbox\": [447, 211, 452, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 222, 20, 231]}, {\"cell\": \"22\", \"bbox\": [43, 222, 53, 231]}, {\"cell\": \"F\", \"bbox\": [83, 222, 89, 231]}, {\"cell\": \"None\", \"bbox\": [119, 222, 140, 231]}, {\"cell\": \"Occasionally\", \"bbox\": [215, 222, 259, 231]}, {\"cell\": \"+\", \"bbox\": [337, 222, 344, 231]}, {\"cell\": \"-\", \"bbox\": [392, 222, 397, 231]}, {\"cell\": \"+\", \"bbox\": [447, 222, 454, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 232, 23, 241]}, {\"cell\": \"27\", \"bbox\": [43, 232, 53, 241]}, {\"cell\": \"F\", \"bbox\": [83, 232, 89, 241]}, {\"cell\": \"Occasionally\", \"bbox\": [119, 232, 163, 241]}, {\"cell\": \"Occasionally\", \"bbox\": [215, 232, 259, 241]}, {\"cell\": \"+\", \"bbox\": [337, 232, 344, 241]}, {\"cell\": \"+\", \"bbox\": [392, 232, 399, 241]}, {\"cell\": \"-\", \"bbox\": [447, 232, 452, 241]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2072956_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
CasesEnergy ratios in each frequency band
12345678
Normal0.50550.37740.06640.00740.02850.0099[EMPTY_CELL]0.0015
0.46990.39890.06560.00890.03450.01600.0048[EMPTY_CELL]
0.48810.40680.05550.00880.02570.00990.0038[EMPTY_CELL]
Broken teeth0.57090.30920.07120.01520.02350.0068[EMPTY_CELL]0.0006
0.54250.33870.06680.01630.02380.00690.0038[EMPTY_CELL]
0.57270.32540.06450.01110.01760.00590.0022[EMPTY_CELL]
Wear0.81200.10400.01880.00550.03300.0255[EMPTY_CELL]0.0003
0.82670.09750.01750.00550.03010.02150.0009[EMPTY_CELL]
0.85210.08310.01900.00610.02360.01410.0008[EMPTY_CELL]
Missing teeth0.19020.32510.10630.01160.17120.1581[EMPTY_CELL]0.0041
0.19320.30820.08440.02440.16070.19090.0299[EMPTY_CELL]
0.22000.25580.13400.00920.18160.17270.0212[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Cases\", \"bbox\": [2, 9, 25, 20]}, {\"cell\": \"Energy ratios in each frequency band\", \"bbox\": [222, 4, 357, 15]}, {\"cell\": \"1\", \"bbox\": [89, 16, 94, 27]}, {\"cell\": \"2\", \"bbox\": [145, 16, 151, 27]}, {\"cell\": \"3\", \"bbox\": [202, 16, 208, 27]}, {\"cell\": \"4\", \"bbox\": [258, 16, 264, 27]}, {\"cell\": \"5\", \"bbox\": [314, 16, 320, 27]}, {\"cell\": \"6\", \"bbox\": [369, 16, 376, 27]}, {\"cell\": \"7\", \"bbox\": [426, 16, 432, 27]}, {\"cell\": \"8\", \"bbox\": [482, 16, 489, 27]}, {\"cell\": \"Normal\", \"bbox\": [2, 41, 32, 51]}, {\"cell\": \"0.5055\", \"bbox\": [79, 29, 104, 40]}, {\"cell\": \"0.3774\", \"bbox\": [136, 29, 161, 40]}, {\"cell\": \"0.0664\", \"bbox\": [191, 29, 218, 40]}, {\"cell\": \"0.0074\", \"bbox\": [248, 29, 274, 40]}, {\"cell\": \"0.0285\", \"bbox\": [304, 29, 329, 40]}, {\"cell\": \"0.0099\", \"bbox\": [360, 29, 386, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [416, 29, 442, 40]}, {\"cell\": \"0.0015\", \"bbox\": [473, 29, 498, 40]}, {\"cell\": \"0.4699\", \"bbox\": [79, 42, 105, 52]}, {\"cell\": \"0.3989\", \"bbox\": [135, 42, 161, 52]}, {\"cell\": \"0.0656\", \"bbox\": [192, 42, 218, 52]}, {\"cell\": \"0.0089\", \"bbox\": [248, 42, 274, 52]}, {\"cell\": \"0.0345\", \"bbox\": [304, 42, 329, 52]}, {\"cell\": \"0.0160\", \"bbox\": [360, 42, 385, 52]}, {\"cell\": \"0.0048\", \"bbox\": [416, 42, 442, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [473, 42, 498, 52]}, {\"cell\": \"0.4881\", \"bbox\": [80, 54, 104, 65]}, {\"cell\": \"0.4068\", \"bbox\": [135, 54, 161, 65]}, {\"cell\": \"0.0555\", \"bbox\": [192, 54, 217, 65]}, {\"cell\": \"0.0088\", \"bbox\": [248, 54, 274, 65]}, {\"cell\": \"0.0257\", \"bbox\": [304, 54, 329, 65]}, {\"cell\": \"0.0099\", \"bbox\": [359, 54, 386, 65]}, {\"cell\": \"0.0038\", \"bbox\": [416, 54, 442, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [473, 54, 498, 65]}, {\"cell\": \"Broken teeth\", \"bbox\": [2, 78, 50, 89]}, {\"cell\": \"0.5709\", \"bbox\": [79, 67, 105, 78]}, {\"cell\": \"0.3092\", \"bbox\": [135, 67, 161, 78]}, {\"cell\": \"0.0712\", \"bbox\": [192, 67, 217, 78]}, {\"cell\": \"0.0152\", \"bbox\": [249, 67, 273, 78]}, {\"cell\": \"0.0235\", \"bbox\": [304, 67, 329, 78]}, {\"cell\": \"0.0068\", \"bbox\": [360, 67, 386, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [416, 67, 442, 78]}, {\"cell\": \"0.0006\", \"bbox\": [472, 67, 499, 78]}, {\"cell\": \"0.5425\", \"bbox\": [79, 79, 105, 90]}, {\"cell\": \"0.3387\", \"bbox\": [136, 79, 161, 90]}, {\"cell\": \"0.0668\", \"bbox\": [191, 79, 218, 90]}, {\"cell\": \"0.0163\", \"bbox\": [249, 79, 273, 90]}, {\"cell\": \"0.0238\", \"bbox\": [304, 79, 329, 90]}, {\"cell\": \"0.0069\", \"bbox\": [360, 79, 386, 90]}, {\"cell\": \"0.0038\", \"bbox\": [416, 79, 442, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [473, 79, 498, 90]}, {\"cell\": \"0.5727\", \"bbox\": [79, 92, 104, 103]}, {\"cell\": \"0.3254\", \"bbox\": [136, 92, 161, 103]}, {\"cell\": \"0.0645\", \"bbox\": [192, 92, 218, 103]}, {\"cell\": \"0.0111\", \"bbox\": [250, 92, 272, 103]}, {\"cell\": \"0.0176\", \"bbox\": [305, 92, 329, 103]}, {\"cell\": \"0.0059\", \"bbox\": [360, 92, 386, 103]}, {\"cell\": \"0.0022\", \"bbox\": [416, 92, 442, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 92, 499, 103]}, {\"cell\": \"Wear\", \"bbox\": [2, 116, 23, 127]}, {\"cell\": \"0.8120\", \"bbox\": [80, 105, 104, 115]}, {\"cell\": \"0.1040\", \"bbox\": [136, 105, 161, 115]}, {\"cell\": \"0.0188\", \"bbox\": [192, 105, 217, 115]}, {\"cell\": \"0.0055\", \"bbox\": [248, 105, 274, 115]}, {\"cell\": \"0.0330\", \"bbox\": [304, 105, 329, 115]}, {\"cell\": \"0.0255\", \"bbox\": [360, 105, 385, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [416, 105, 442, 115]}, {\"cell\": \"0.0003\", \"bbox\": [473, 105, 498, 115]}, {\"cell\": \"0.8267\", \"bbox\": [79, 117, 105, 128]}, {\"cell\": \"0.0975\", \"bbox\": [135, 117, 161, 128]}, {\"cell\": \"0.0175\", \"bbox\": [193, 117, 217, 128]}, {\"cell\": \"0.0055\", \"bbox\": [248, 117, 274, 128]}, {\"cell\": \"0.0301\", \"bbox\": [305, 117, 329, 128]}, {\"cell\": \"0.0215\", \"bbox\": [361, 117, 385, 128]}, {\"cell\": \"0.0009\", \"bbox\": [416, 117, 442, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [473, 117, 498, 128]}, {\"cell\": \"0.8521\", \"bbox\": [80, 130, 104, 140]}, {\"cell\": \"0.0831\", \"bbox\": [136, 130, 160, 140]}, {\"cell\": \"0.0190\", \"bbox\": [192, 130, 217, 140]}, {\"cell\": \"0.0061\", \"bbox\": [248, 130, 273, 140]}, {\"cell\": \"0.0236\", \"bbox\": [304, 130, 329, 140]}, {\"cell\": \"0.0141\", \"bbox\": [361, 130, 384, 140]}, {\"cell\": \"0.0008\", \"bbox\": [416, 130, 442, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [473, 130, 498, 140]}, {\"cell\": \"Missing teeth\", \"bbox\": [2, 154, 53, 165]}, {\"cell\": \"0.1902\", \"bbox\": [80, 142, 104, 153]}, {\"cell\": \"0.3251\", \"bbox\": [136, 142, 160, 153]}, {\"cell\": \"0.1063\", \"bbox\": [192, 142, 217, 153]}, {\"cell\": \"0.0116\", \"bbox\": [249, 142, 273, 153]}, {\"cell\": \"0.1712\", \"bbox\": [305, 142, 328, 153]}, {\"cell\": \"0.1581\", \"bbox\": [361, 142, 384, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [416, 142, 442, 153]}, {\"cell\": \"0.0041\", \"bbox\": [473, 142, 498, 153]}, {\"cell\": \"0.1932\", \"bbox\": [80, 155, 104, 166]}, {\"cell\": \"0.3082\", \"bbox\": [135, 155, 161, 166]}, {\"cell\": \"0.0844\", \"bbox\": [191, 155, 218, 166]}, {\"cell\": \"0.0244\", \"bbox\": [248, 155, 274, 166]}, {\"cell\": \"0.1607\", \"bbox\": [304, 155, 329, 166]}, {\"cell\": \"0.1909\", \"bbox\": [360, 155, 385, 166]}, {\"cell\": \"0.0299\", \"bbox\": [416, 155, 442, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [473, 155, 498, 166]}, {\"cell\": \"0.2200\", \"bbox\": [79, 167, 105, 178]}, {\"cell\": \"0.2558\", \"bbox\": [136, 167, 161, 178]}, {\"cell\": \"0.1340\", \"bbox\": [192, 167, 217, 178]}, {\"cell\": \"0.0092\", \"bbox\": [248, 167, 274, 178]}, {\"cell\": \"0.1816\", \"bbox\": [305, 167, 328, 178]}, {\"cell\": \"0.1727\", \"bbox\": [361, 167, 385, 178]}, {\"cell\": \"0.0212\", \"bbox\": [417, 167, 441, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [473, 167, 498, 178]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3943295_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL][EMPTY_CELL]Hospital Anxiety and Depression scale
[EMPTY_CELL]Number of patientsDepressionAnxiety
[EMPTY_CELL]
[EMPTY_CELL]614.52±4.135.74±4.05
[EMPTY_CELL]246.33±5.087.17±4.58
[EMPTY_CELL]85.13±3.3145.75±3.81
[EMPTY_CELL]404.83±4.026.18±4.16
[EMPTY_CELL]73.09±4.855.73±4.86
[EMPTY_CELL]115.57±4.586.43±6.05
[EMPTY_CELL][EMPTY_CELL]1.055; 0.3880.416; 0.837
[EMPTY_CELL]
[EMPTY_CELL]645.48±4.486.58±4.33
[EMPTY_CELL]694.28±4.045.67±4.12
[EMPTY_CELL]184.71±4.625.59±4.14
[EMPTY_CELL][EMPTY_CELL]1.194; 0.3142.440; 0.067
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Hospital Anxiety and Depression scale\", \"bbox\": [215, 4, 379, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Number of patients\", \"bbox\": [116, 16, 200, 27]}, {\"cell\": \"Depression\", \"bbox\": [218, 16, 268, 27]}, {\"cell\": \"Anxiety\", \"bbox\": [320, 16, 355, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 29, 71, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 42, 42, 53]}, {\"cell\": \"61\", \"bbox\": [152, 42, 164, 53]}, {\"cell\": \"4.52±4.13\", \"bbox\": [222, 38, 264, 54]}, {\"cell\": \"5.74±4.05\", \"bbox\": [316, 38, 359, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 55, 44, 66]}, {\"cell\": \"24\", \"bbox\": [152, 51, 164, 67]}, {\"cell\": \"6.33±5.08\", \"bbox\": [222, 55, 264, 66]}, {\"cell\": \"7.17±4.58\", \"bbox\": [316, 51, 359, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 68, 50, 79]}, {\"cell\": \"8\", \"bbox\": [155, 68, 162, 79]}, {\"cell\": \"5.13±3.314\", \"bbox\": [219, 64, 267, 80]}, {\"cell\": \"5.75±3.81\", \"bbox\": [316, 68, 359, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 81, 52, 92]}, {\"cell\": \"40\", \"bbox\": [152, 77, 164, 93]}, {\"cell\": \"4.83±4.02\", \"bbox\": [222, 77, 264, 93]}, {\"cell\": \"6.18±4.16\", \"bbox\": [316, 77, 359, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 94, 77, 105]}, {\"cell\": \"7\", \"bbox\": [155, 94, 162, 105]}, {\"cell\": \"3.09±4.85\", \"bbox\": [222, 90, 264, 106]}, {\"cell\": \"5.73±4.86\", \"bbox\": [316, 90, 359, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 106, 36, 118]}, {\"cell\": \"11\", \"bbox\": [153, 106, 164, 118]}, {\"cell\": \"5.57±4.58\", \"bbox\": [222, 103, 264, 118]}, {\"cell\": \"6.43±6.05\", \"bbox\": [316, 103, 359, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 119, 22, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.055; 0.388\", \"bbox\": [217, 119, 269, 131]}, {\"cell\": \"0.416; 0.837\", \"bbox\": [311, 116, 364, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 132, 54, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 145, 84, 156]}, {\"cell\": \"64\", \"bbox\": [152, 142, 164, 157]}, {\"cell\": \"5.48±4.48\", \"bbox\": [222, 142, 264, 157]}, {\"cell\": \"6.58±4.33\", \"bbox\": [316, 142, 359, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 158, 79, 169]}, {\"cell\": \"69\", \"bbox\": [152, 158, 164, 169]}, {\"cell\": \"4.28±4.04\", \"bbox\": [222, 155, 264, 170]}, {\"cell\": \"5.67±4.12\", \"bbox\": [316, 155, 359, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 171, 48, 182]}, {\"cell\": \"18\", \"bbox\": [152, 171, 164, 182]}, {\"cell\": \"4.71±4.62\", \"bbox\": [222, 168, 264, 183]}, {\"cell\": \"5.59±4.14\", \"bbox\": [316, 168, 359, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 184, 22, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.194; 0.314\", \"bbox\": [217, 180, 269, 196]}, {\"cell\": \"2.440; 0.067\", \"bbox\": [311, 180, 364, 196]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5593666_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
CharacteristicsSingle shockRecurrent shockMissing data (%)P-value
(N = 318)(N = 126)
Age (years)10 (0.25 to 15)b10 (0.5 to 15)[EMPTY_CELL]0.95
Females/total171/31873/126[EMPTY_CELL]0.43
Admission day3.97 ± 1.20c3.71 ± 1.08[EMPTY_CELL]0.035
Days of shock4.95 ± 1.344.67 ± 1.38[EMPTY_CELL]0.054
Petechia144/318 (45%)61/126 (48%)[EMPTY_CELL]0.55
Tourniquet test12/318 (4%)5/126 (4%)[EMPTY_CELL]0.93
Nose/gum bleeding40/318 (13%)21/126 (17%)[EMPTY_CELL]0.26
Purpura/ecchymosis98/318 (31%)62/126 (49%)[EMPTY_CELL]<0.001
GI bleeding36/318 (11%)23/126 (18%)[EMPTY_CELL]0.052
Ascites/pleural effusion114/318 (36%)92/126 (73%)[EMPTY_CELL]<0.001
HCT (%)43.01 ± 5.8343.50 ± 5.50[EMPTY_CELL]0.43
PLTs (×103/μl)110.59 ± 56.1096.63 ± 60.34[EMPTY_CELL]0.024
WBC count (×103/μl)5.55 ± 3.754.98 ± 2.73[EMPTY_CELL]0.141
Pulse pressure (mmHg)18.41 ± 6.2616.31 ± 7.24[EMPTY_CELL]0.001
\", \"cells\": [{\"cell\": \"Characteristics\", \"bbox\": [1, 4, 53, 13]}, {\"cell\": \"Single shock\", \"bbox\": [129, 4, 175, 13]}, {\"cell\": \"Recurrent shock\", \"bbox\": [233, 4, 291, 13]}, {\"cell\": \"Missing data (%)\", \"bbox\": [344, 4, 403, 13]}, {\"cell\": \"P-value\", \"bbox\": [456, 4, 484, 13]}, {\"cell\": \"(N = 318)\", \"bbox\": [129, 17, 162, 26]}, {\"cell\": \"(N = 126)\", \"bbox\": [233, 17, 266, 26]}, {\"cell\": \"Age (years)\", \"bbox\": [1, 30, 38, 40]}, {\"cell\": \"10 (0.25 to 15)b\", \"bbox\": [129, 29, 181, 40]}, {\"cell\": \"10 (0.5 to 15)\", \"bbox\": [233, 30, 278, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 30, 350, 40]}, {\"cell\": \"0.95\", \"bbox\": [456, 30, 471, 40]}, {\"cell\": \"Females/total\", \"bbox\": [1, 44, 45, 54]}, {\"cell\": \"171/318\", \"bbox\": [129, 44, 157, 54]}, {\"cell\": \"73/126\", \"bbox\": [233, 44, 257, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 44, 350, 54]}, {\"cell\": \"0.43\", \"bbox\": [456, 44, 471, 54]}, {\"cell\": \"Admission day\", \"bbox\": [1, 58, 49, 68]}, {\"cell\": \"3.97 ± 1.20c\", \"bbox\": [129, 57, 168, 68]}, {\"cell\": \"3.71 ± 1.08\", \"bbox\": [233, 58, 269, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 58, 365, 68]}, {\"cell\": \"0.035\", \"bbox\": [456, 58, 475, 68]}, {\"cell\": \"Days of shock\", \"bbox\": [1, 72, 47, 82]}, {\"cell\": \"4.95 ± 1.34\", \"bbox\": [129, 72, 165, 82]}, {\"cell\": \"4.67 ± 1.38\", \"bbox\": [233, 72, 269, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 72, 369, 82]}, {\"cell\": \"0.054\", \"bbox\": [456, 72, 475, 82]}, {\"cell\": \"Petechia\", \"bbox\": [1, 86, 30, 96]}, {\"cell\": \"144/318 (45%)\", \"bbox\": [129, 86, 177, 96]}, {\"cell\": \"61/126 (48%)\", \"bbox\": [233, 86, 277, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 86, 350, 96]}, {\"cell\": \"0.55\", \"bbox\": [456, 86, 471, 96]}, {\"cell\": \"Tourniquet test\", \"bbox\": [1, 100, 51, 110]}, {\"cell\": \"12/318 (4%)\", \"bbox\": [129, 100, 170, 110]}, {\"cell\": \"5/126 (4%)\", \"bbox\": [233, 100, 270, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 100, 365, 110]}, {\"cell\": \"0.93\", \"bbox\": [456, 100, 471, 110]}, {\"cell\": \"Nose/gum bleeding\", \"bbox\": [1, 114, 67, 124]}, {\"cell\": \"40/318 (13%)\", \"bbox\": [129, 114, 173, 124]}, {\"cell\": \"21/126 (17%)\", \"bbox\": [233, 114, 277, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 114, 350, 124]}, {\"cell\": \"0.26\", \"bbox\": [456, 114, 471, 124]}, {\"cell\": \"Purpura/ecchymosis\", \"bbox\": [1, 128, 67, 138]}, {\"cell\": \"98/318 (31%)\", \"bbox\": [129, 128, 173, 138]}, {\"cell\": \"62/126 (49%)\", \"bbox\": [233, 128, 277, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 128, 350, 138]}, {\"cell\": \"<0.001\", \"bbox\": [456, 128, 480, 138]}, {\"cell\": \"GI bleeding\", \"bbox\": [1, 142, 40, 152]}, {\"cell\": \"36/318 (11%)\", \"bbox\": [129, 142, 173, 152]}, {\"cell\": \"23/126 (18%)\", \"bbox\": [233, 142, 277, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 142, 350, 152]}, {\"cell\": \"0.052\", \"bbox\": [456, 142, 475, 152]}, {\"cell\": \"Ascites/pleural effusion\", \"bbox\": [1, 156, 76, 166]}, {\"cell\": \"114/318 (36%)\", \"bbox\": [129, 156, 177, 166]}, {\"cell\": \"92/126 (73%)\", \"bbox\": [233, 156, 277, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 156, 365, 166]}, {\"cell\": \"<0.001\", \"bbox\": [456, 156, 480, 166]}, {\"cell\": \"HCT (%)\", \"bbox\": [1, 170, 28, 180]}, {\"cell\": \"43.01 ± 5.83\", \"bbox\": [129, 170, 169, 180]}, {\"cell\": \"43.50 ± 5.50\", \"bbox\": [233, 170, 273, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 170, 365, 180]}, {\"cell\": \"0.43\", \"bbox\": [456, 170, 471, 180]}, {\"cell\": \"PLTs (×103/μl)\", \"bbox\": [1, 182, 47, 194]}, {\"cell\": \"110.59 ± 56.10\", \"bbox\": [129, 184, 176, 194]}, {\"cell\": \"96.63 ± 60.34\", \"bbox\": [233, 184, 277, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 184, 369, 194]}, {\"cell\": \"0.024\", \"bbox\": [456, 184, 475, 194]}, {\"cell\": \"WBC count (×103/μl)\", \"bbox\": [1, 196, 69, 208]}, {\"cell\": \"5.55 ± 3.75\", \"bbox\": [129, 198, 165, 208]}, {\"cell\": \"4.98 ± 2.73\", \"bbox\": [233, 198, 269, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 198, 369, 208]}, {\"cell\": \"0.141\", \"bbox\": [456, 198, 475, 208]}, {\"cell\": \"Pulse pressure (mmHg)\", \"bbox\": [1, 212, 77, 222]}, {\"cell\": \"18.41 ± 6.26\", \"bbox\": [129, 212, 169, 222]}, {\"cell\": \"16.31 ± 7.24\", \"bbox\": [233, 212, 273, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 212, 350, 222]}, {\"cell\": \"0.001\", \"bbox\": [456, 212, 475, 222]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4057383_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariableChanges during no treatment (SD)Changes during liraglutide (SD)Difference between changes (95% confidence interval)p-value*
CFR0.02 (0.32)0.18 (0.38)[EMPTY_CELL]0.18
RHI0.03 (0.30)0.12 (0.51)[EMPTY_CELL]0.49
AI-1.4 (8.9)-1.2 (9.6)[EMPTY_CELL]0.95
HbA1c (mmol/mol)0.9 (6.3)-9.2 (5.1)[EMPTY_CELL]0.01
Weight (Kg)-0.1 (2.5)- 2.0 (2.8)[EMPTY_CELL]0.03
Waist circumference (cm)-1 (4)-1 (2)[EMPTY_CELL]0.96
Systolic BP (mmHg)5 (12)-5 (9)[EMPTY_CELL]0.01
Diastolic BP (mmHg)1 (7)-1 (8)[EMPTY_CELL]0.35
Heart rate (bpm)4 (10)4 (9)[EMPTY_CELL]0.97
Fasting glucose (mmol/L)0.52 (1.85)-1.61 (1.54)[EMPTY_CELL]<0.001
Insulin (μU/ml)-3 (39)-10 (45)[EMPTY_CELL]0.65
C-peptide (pmol/L)21 (280)52 (279)[EMPTY_CELL]0.73
HOMA index0.1 (3.6)-1.5 (3.2)[EMPTY_CELL]0.13
\", \"cells\": [{\"cell\": \"Variable\", \"bbox\": [1, 4, 31, 13]}, {\"cell\": \"Changes during no treatment (SD)\", \"bbox\": [121, 4, 185, 22]}, {\"cell\": \"Changes during liraglutide (SD)\", \"bbox\": [222, 4, 279, 22]}, {\"cell\": \"Difference between changes (95% confidence interval)\", \"bbox\": [316, 4, 417, 22]}, {\"cell\": \"p-value*\", \"bbox\": [453, 4, 484, 13]}, {\"cell\": \"CFR\", \"bbox\": [1, 26, 15, 36]}, {\"cell\": \"0.02 (0.32)\", \"bbox\": [121, 26, 155, 36]}, {\"cell\": \"0.18 (0.38)\", \"bbox\": [222, 26, 256, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [316, 26, 369, 36]}, {\"cell\": \"0.18\", \"bbox\": [453, 26, 468, 36]}, {\"cell\": \"RHI\", \"bbox\": [1, 40, 13, 50]}, {\"cell\": \"0.03 (0.30)\", \"bbox\": [121, 40, 155, 50]}, {\"cell\": \"0.12 (0.51)\", \"bbox\": [222, 40, 256, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [316, 40, 369, 50]}, {\"cell\": \"0.49\", \"bbox\": [453, 40, 468, 50]}, {\"cell\": \"AI\", \"bbox\": [1, 54, 9, 64]}, {\"cell\": \"-1.4 (8.9)\", \"bbox\": [121, 54, 150, 64]}, {\"cell\": \"-1.2 (9.6)\", \"bbox\": [222, 54, 251, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [316, 54, 361, 64]}, {\"cell\": \"0.95\", \"bbox\": [453, 54, 468, 64]}, {\"cell\": \"HbA1c (mmol/mol)\", \"bbox\": [1, 68, 64, 78]}, {\"cell\": \"0.9 (6.3)\", \"bbox\": [121, 68, 147, 78]}, {\"cell\": \"-9.2 (5.1)\", \"bbox\": [222, 68, 251, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [316, 68, 370, 78]}, {\"cell\": \"0.01\", \"bbox\": [453, 68, 468, 78]}, {\"cell\": \"Weight (Kg)\", \"bbox\": [1, 82, 40, 92]}, {\"cell\": \"-0.1 (2.5)\", \"bbox\": [121, 82, 150, 92]}, {\"cell\": \"- 2.0 (2.8)\", \"bbox\": [222, 82, 253, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [316, 82, 362, 92]}, {\"cell\": \"0.03\", \"bbox\": [453, 82, 468, 92]}, {\"cell\": \"Waist circumference (cm)\", \"bbox\": [1, 96, 84, 106]}, {\"cell\": \"-1 (4)\", \"bbox\": [121, 96, 139, 106]}, {\"cell\": \"-1 (2)\", \"bbox\": [222, 96, 240, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [316, 96, 342, 106]}, {\"cell\": \"0.96\", \"bbox\": [453, 96, 468, 106]}, {\"cell\": \"Systolic BP (mmHg)\", \"bbox\": [1, 110, 65, 120]}, {\"cell\": \"5 (12)\", \"bbox\": [121, 110, 141, 120]}, {\"cell\": \"-5 (9)\", \"bbox\": [222, 110, 240, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [316, 110, 354, 120]}, {\"cell\": \"0.01\", \"bbox\": [453, 110, 468, 120]}, {\"cell\": \"Diastolic BP (mmHg)\", \"bbox\": [1, 124, 68, 134]}, {\"cell\": \"1 (7)\", \"bbox\": [121, 124, 137, 134]}, {\"cell\": \"-1 (8)\", \"bbox\": [222, 124, 240, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [316, 124, 344, 134]}, {\"cell\": \"0.35\", \"bbox\": [453, 124, 468, 134]}, {\"cell\": \"Heart rate (bpm)\", \"bbox\": [1, 138, 56, 148]}, {\"cell\": \"4 (10)\", \"bbox\": [121, 138, 141, 148]}, {\"cell\": \"4 (9)\", \"bbox\": [222, 138, 238, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [316, 138, 351, 148]}, {\"cell\": \"0.97\", \"bbox\": [453, 138, 468, 148]}, {\"cell\": \"Fasting glucose (mmol/L)\", \"bbox\": [1, 152, 84, 162]}, {\"cell\": \"0.52 (1.85)\", \"bbox\": [121, 152, 155, 162]}, {\"cell\": \"-1.61 (1.54)\", \"bbox\": [222, 152, 258, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [316, 152, 373, 162]}, {\"cell\": \"<0.001\", \"bbox\": [453, 152, 477, 162]}, {\"cell\": \"Insulin (μU/ml)\", \"bbox\": [1, 166, 50, 176]}, {\"cell\": \"-3 (39)\", \"bbox\": [121, 166, 143, 176]}, {\"cell\": \"-10 (45)\", \"bbox\": [222, 166, 248, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [316, 166, 352, 176]}, {\"cell\": \"0.65\", \"bbox\": [453, 166, 468, 176]}, {\"cell\": \"C-peptide (pmol/L)\", \"bbox\": [1, 180, 64, 190]}, {\"cell\": \"21 (280)\", \"bbox\": [121, 180, 149, 190]}, {\"cell\": \"52 (279)\", \"bbox\": [222, 180, 250, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [316, 180, 361, 190]}, {\"cell\": \"0.73\", \"bbox\": [453, 180, 468, 190]}, {\"cell\": \"HOMA index\", \"bbox\": [1, 194, 44, 204]}, {\"cell\": \"0.1 (3.6)\", \"bbox\": [121, 194, 147, 204]}, {\"cell\": \"-1.5 (3.2)\", \"bbox\": [222, 194, 251, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [316, 194, 360, 204]}, {\"cell\": \"0.13\", \"bbox\": [453, 194, 468, 204]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4407869_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Peak NoRetention Time (Min)MS + Tret identification**%
[EMPTY_CELL]3.19N(b)-benzyl-14-(carboxymethyl)6.35
[EMPTY_CELL]3.21Benzene, 1.3-bis (3-phenoxyphenoxy)13.51
[EMPTY_CELL]3.432-Phenyl-2-tipyl-acenapthenone4.50
[EMPTY_CELL]5.96α-pinene0.49
[EMPTY_CELL]6.30Camphene0.14
[EMPTY_CELL]8.281.8 cineole0.91
[EMPTY_CELL]11.32Camphor2.77
[EMPTY_CELL]11.91Endo-Borneol1.76
[EMPTY_CELL]12.23Linalool0.20
[EMPTY_CELL]12.601-α-Terpineol0.43
[EMPTY_CELL]12.88α-Caryophyllene oxide0.95
[EMPTY_CELL]12.94Nopol0.45
[EMPTY_CELL]13.102-Pinen-4-one10.03
[EMPTY_CELL]15.12(-)-Bornyl acetate1.96
[EMPTY_CELL]17.811 Tetradecanol (Fatty alcohol)1.07
[EMPTY_CELL]22.605-Octadecene1.10
[EMPTY_CELL]29.64Hexadecanoic acid (Methyl ester)1.02
[EMPTY_CELL]30.38Palmitic acid3.91
[EMPTY_CELL]34.0917-Pentatriacontene1.51
[EMPTY_CELL]36.27Tritetracontane1.36
[EMPTY_CELL]36.885.beta.-Pregn-11-ene1.71
[EMPTY_CELL]38.764-Imidozolidinone3.49
[EMPTY_CELL]40.52Naphthalene1.06
[EMPTY_CELL]40.82Quinoline1.58
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]60.55%
\", \"cells\": [{\"cell\": \"Peak No\", \"bbox\": [1, 4, 19, 22]}, {\"cell\": \"Retention Time (Min)\", \"bbox\": [32, 4, 87, 22]}, {\"cell\": \"MS + Tret identification*\", \"bbox\": [102, 2, 186, 14]}, {\"cell\": \"*%\", \"bbox\": [212, 4, 224, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 26, 6, 36]}, {\"cell\": \"3.19\", \"bbox\": [32, 26, 46, 36]}, {\"cell\": \"N(b)-benzyl-14-(carboxymethyl)\", \"bbox\": [102, 26, 203, 36]}, {\"cell\": \"6.35\", \"bbox\": [212, 26, 227, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 38, 6, 48]}, {\"cell\": \"3.21\", \"bbox\": [32, 38, 46, 48]}, {\"cell\": \"Benzene, 1.3-bis (3-phenoxyphenoxy)\", \"bbox\": [102, 38, 166, 57]}, {\"cell\": \"13.51\", \"bbox\": [212, 38, 231, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 59, 6, 68]}, {\"cell\": \"3.43\", \"bbox\": [32, 59, 46, 68]}, {\"cell\": \"2-Phenyl-2-tipyl-acenapthenone\", \"bbox\": [102, 59, 205, 68]}, {\"cell\": \"4.50\", \"bbox\": [212, 59, 227, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 71, 6, 80]}, {\"cell\": \"5.96\", \"bbox\": [32, 71, 46, 80]}, {\"cell\": \"α-pinene\", \"bbox\": [102, 71, 133, 80]}, {\"cell\": \"0.49\", \"bbox\": [212, 71, 227, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 83, 6, 92]}, {\"cell\": \"6.30\", \"bbox\": [32, 83, 46, 92]}, {\"cell\": \"Camphene\", \"bbox\": [102, 83, 139, 92]}, {\"cell\": \"0.14\", \"bbox\": [212, 83, 227, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 95, 6, 104]}, {\"cell\": \"8.28\", \"bbox\": [32, 95, 46, 104]}, {\"cell\": \"1.8 cineole\", \"bbox\": [102, 95, 138, 104]}, {\"cell\": \"0.91\", \"bbox\": [212, 95, 227, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 107, 6, 116]}, {\"cell\": \"11.32\", \"bbox\": [32, 107, 50, 116]}, {\"cell\": \"Camphor\", \"bbox\": [102, 107, 133, 116]}, {\"cell\": \"2.77\", \"bbox\": [212, 107, 227, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 119, 6, 128]}, {\"cell\": \"11.91\", \"bbox\": [32, 119, 50, 128]}, {\"cell\": \"Endo-Borneol\", \"bbox\": [102, 119, 147, 128]}, {\"cell\": \"1.76\", \"bbox\": [212, 119, 227, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 131, 6, 140]}, {\"cell\": \"12.23\", \"bbox\": [32, 131, 50, 140]}, {\"cell\": \"Linalool\", \"bbox\": [102, 131, 128, 140]}, {\"cell\": \"0.20\", \"bbox\": [212, 131, 227, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 143, 10, 152]}, {\"cell\": \"12.60\", \"bbox\": [32, 143, 50, 152]}, {\"cell\": \"1-α-Terpineol\", \"bbox\": [102, 143, 147, 152]}, {\"cell\": \"0.43\", \"bbox\": [212, 143, 227, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 155, 10, 164]}, {\"cell\": \"12.88\", \"bbox\": [32, 155, 50, 164]}, {\"cell\": \"α-Caryophyllene oxide\", \"bbox\": [102, 155, 176, 164]}, {\"cell\": \"0.95\", \"bbox\": [212, 155, 227, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 167, 10, 176]}, {\"cell\": \"12.94\", \"bbox\": [32, 167, 50, 176]}, {\"cell\": \"Nopol\", \"bbox\": [102, 167, 123, 176]}, {\"cell\": \"0.45\", \"bbox\": [212, 167, 227, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 179, 10, 188]}, {\"cell\": \"13.10\", \"bbox\": [32, 179, 50, 188]}, {\"cell\": \"2-Pinen-4-one\", \"bbox\": [102, 179, 148, 188]}, {\"cell\": \"10.03\", \"bbox\": [212, 179, 231, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 191, 10, 200]}, {\"cell\": \"15.12\", \"bbox\": [32, 191, 50, 200]}, {\"cell\": \"(-)-Bornyl acetate\", \"bbox\": [102, 191, 158, 200]}, {\"cell\": \"1.96\", \"bbox\": [212, 191, 227, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 203, 10, 212]}, {\"cell\": \"17.81\", \"bbox\": [32, 203, 50, 212]}, {\"cell\": \"1 Tetradecanol (Fatty alcohol)\", \"bbox\": [102, 203, 199, 212]}, {\"cell\": \"1.07\", \"bbox\": [212, 203, 227, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 214, 10, 224]}, {\"cell\": \"22.60\", \"bbox\": [32, 214, 50, 224]}, {\"cell\": \"5-Octadecene\", \"bbox\": [102, 214, 148, 224]}, {\"cell\": \"1.10\", \"bbox\": [212, 214, 227, 224]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 226, 10, 236]}, {\"cell\": \"29.64\", \"bbox\": [32, 226, 50, 236]}, {\"cell\": \"Hexadecanoic acid (Methyl ester)\", \"bbox\": [102, 226, 190, 245]}, {\"cell\": \"1.02\", \"bbox\": [212, 226, 227, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 247, 10, 257]}, {\"cell\": \"30.38\", \"bbox\": [32, 247, 50, 257]}, {\"cell\": \"Palmitic acid\", \"bbox\": [102, 247, 144, 257]}, {\"cell\": \"3.91\", \"bbox\": [212, 247, 227, 257]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 259, 10, 269]}, {\"cell\": \"34.09\", \"bbox\": [32, 259, 50, 269]}, {\"cell\": \"17-Pentatriacontene\", \"bbox\": [102, 259, 168, 269]}, {\"cell\": \"1.51\", \"bbox\": [212, 259, 227, 269]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 271, 10, 281]}, {\"cell\": \"36.27\", \"bbox\": [32, 271, 50, 281]}, {\"cell\": \"Tritetracontane\", \"bbox\": [102, 271, 152, 281]}, {\"cell\": \"1.36\", \"bbox\": [212, 271, 227, 281]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 283, 10, 293]}, {\"cell\": \"36.88\", \"bbox\": [32, 283, 50, 293]}, {\"cell\": \"5.beta.-Pregn-11-ene\", \"bbox\": [102, 283, 169, 293]}, {\"cell\": \"1.71\", \"bbox\": [212, 283, 227, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 295, 10, 305]}, {\"cell\": \"38.76\", \"bbox\": [32, 295, 50, 305]}, {\"cell\": \"4-Imidozolidinone\", \"bbox\": [102, 295, 161, 305]}, {\"cell\": \"3.49\", \"bbox\": [212, 295, 227, 305]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 307, 10, 317]}, {\"cell\": \"40.52\", \"bbox\": [32, 307, 50, 317]}, {\"cell\": \"Naphthalene\", \"bbox\": [102, 307, 145, 317]}, {\"cell\": \"1.06\", \"bbox\": [212, 307, 227, 317]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 319, 10, 329]}, {\"cell\": \"40.82\", \"bbox\": [32, 319, 50, 329]}, {\"cell\": \"Quinoline\", \"bbox\": [102, 319, 135, 329]}, {\"cell\": \"1.58\", \"bbox\": [212, 319, 227, 329]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 331, 23, 340]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"60.55%\", \"bbox\": [212, 331, 236, 340]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3080840_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
ProductLot No.DescriptionManufacturer
Celtra18017131Zirconia-reinforced (10% by weight) lithium silicate ceramic[EMPTY_CELL]
e-maxT10332Lithium disilicate glass ceramic[EMPTY_CELL]
Mark II43660Feldspathic ceramic[EMPTY_CELL]
Suprinity45960Zirconia-reinforced (10% by weight) lithium silicate ceramic[EMPTY_CELL]
Suprinity FC47860Zirconia-reinforced (10% by weight) lithium silicate ceramic[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Product\", \"bbox\": [22, 5, 56, 16]}, {\"cell\": \"Lot No.\", \"bbox\": [97, 5, 130, 16]}, {\"cell\": \"Description\", \"bbox\": [199, 5, 249, 16]}, {\"cell\": \"Manufacturer\", \"bbox\": [341, 5, 400, 16]}, {\"cell\": \"Celtra\", \"bbox\": [26, 26, 52, 37]}, {\"cell\": \"18017131\", \"bbox\": [94, 26, 132, 37]}, {\"cell\": \"Zirconia-reinforced (10% by weight) lithium silicate ceramic\", \"bbox\": [160, 21, 287, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 26, 429, 37]}, {\"cell\": \"e-max\", \"bbox\": [26, 48, 52, 59]}, {\"cell\": \"T10332\", \"bbox\": [98, 48, 128, 59]}, {\"cell\": \"Lithium disilicate glass ceramic\", \"bbox\": [160, 48, 287, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [327, 43, 414, 65]}, {\"cell\": \"Mark II\", \"bbox\": [23, 70, 55, 81]}, {\"cell\": \"43660\", \"bbox\": [101, 70, 126, 81]}, {\"cell\": \"Feldspathic ceramic\", \"bbox\": [183, 70, 264, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [319, 65, 421, 87]}, {\"cell\": \"Suprinity\", \"bbox\": [19, 92, 58, 103]}, {\"cell\": \"45960\", \"bbox\": [101, 92, 126, 103]}, {\"cell\": \"Zirconia-reinforced (10% by weight) lithium silicate ceramic\", \"bbox\": [160, 87, 287, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [319, 87, 421, 109]}, {\"cell\": \"Suprinity FC\", \"bbox\": [12, 114, 65, 125]}, {\"cell\": \"47860\", \"bbox\": [101, 114, 126, 125]}, {\"cell\": \"Zirconia-reinforced (10% by weight) lithium silicate ceramic\", \"bbox\": [160, 109, 287, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [319, 109, 421, 131]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4926356_012_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
ParameterNBI group (n = 241)Conventional group (n = 241)Significance (p)
Age (years)57.36 (SD 12.07)[EMPTY_CELL]Ns
Gender M/F86/155[EMPTY_CELL]Ns
Weight (kg)66.73 (SD 12.99)[EMPTY_CELL]Ns
Height (cm)163.49 (SD 11.37)[EMPTY_CELL]Ns
Total examination time (min)*9.21 (SD 3.08)[EMPTY_CELL]Ns
Previous colonoscopy94 (39.0%)[EMPTY_CELL]Ns
Indication:[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Screening42 (17.4%)[EMPTY_CELL]Ns
Surveillance22 (9.1%)[EMPTY_CELL]Ns
Diagnostic177 (73.5%)[EMPTY_CELL]Ns
Last colonoscopy (years)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
1 to 350[EMPTY_CELL]Ns
3 to 525[EMPTY_CELL]Ns
5 to 1011[EMPTY_CELL]Ns
> 108[EMPTY_CELL]Ns
Previous polyp resection26 (10.8%)[EMPTY_CELL]Ns
Familial history of colorectal cancer44 (18.3%)[EMPTY_CELL]Ns
Excellent/good bowel preparation167 (69.3%)[EMPTY_CELL]Ns
\", \"cells\": [{\"cell\": \"Parameter\", \"bbox\": [1, 4, 38, 13]}, {\"cell\": \"NBI group (n = 241)\", \"bbox\": [151, 4, 223, 13]}, {\"cell\": \"Conventional group (n = 241)\", \"bbox\": [258, 4, 364, 13]}, {\"cell\": \"Significance (p)\", \"bbox\": [398, 4, 454, 13]}, {\"cell\": \"Age (years)\", \"bbox\": [1, 17, 38, 27]}, {\"cell\": \"57.36 (SD 12.07)\", \"bbox\": [151, 17, 204, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 17, 311, 27]}, {\"cell\": \"Ns\", \"bbox\": [398, 17, 408, 27]}, {\"cell\": \"Gender M/F\", \"bbox\": [1, 30, 41, 40]}, {\"cell\": \"86/155\", \"bbox\": [151, 30, 175, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 30, 282, 40]}, {\"cell\": \"Ns\", \"bbox\": [398, 30, 408, 40]}, {\"cell\": \"Weight (kg)\", \"bbox\": [1, 44, 40, 53]}, {\"cell\": \"66.73 (SD 12.99)\", \"bbox\": [151, 44, 204, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 44, 311, 53]}, {\"cell\": \"Ns\", \"bbox\": [398, 44, 408, 53]}, {\"cell\": \"Height (cm)\", \"bbox\": [1, 57, 41, 66]}, {\"cell\": \"163.49 (SD 11.37)\", \"bbox\": [151, 57, 208, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 57, 311, 66]}, {\"cell\": \"Ns\", \"bbox\": [398, 57, 408, 66]}, {\"cell\": \"Total examination time (min)*\", \"bbox\": [1, 70, 99, 79]}, {\"cell\": \"9.21 (SD 3.08)\", \"bbox\": [151, 70, 197, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 70, 304, 79]}, {\"cell\": \"Ns\", \"bbox\": [398, 70, 408, 79]}, {\"cell\": \"Previous colonoscopy\", \"bbox\": [1, 83, 72, 93]}, {\"cell\": \"94 (39.0%)\", \"bbox\": [151, 83, 186, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 83, 293, 93]}, {\"cell\": \"Ns\", \"bbox\": [398, 83, 408, 93]}, {\"cell\": \"Indication:\", \"bbox\": [1, 96, 35, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Screening\", \"bbox\": [1, 110, 34, 119]}, {\"cell\": \"42 (17.4%)\", \"bbox\": [151, 110, 186, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 110, 293, 119]}, {\"cell\": \"Ns\", \"bbox\": [398, 110, 408, 119]}, {\"cell\": \"Surveillance\", \"bbox\": [1, 123, 40, 132]}, {\"cell\": \"22 (9.1%)\", \"bbox\": [151, 123, 182, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 123, 289, 132]}, {\"cell\": \"Ns\", \"bbox\": [398, 123, 408, 132]}, {\"cell\": \"Diagnostic\", \"bbox\": [1, 136, 36, 145]}, {\"cell\": \"177 (73.5%)\", \"bbox\": [151, 136, 190, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 136, 297, 145]}, {\"cell\": \"Ns\", \"bbox\": [398, 136, 408, 145]}, {\"cell\": \"Last colonoscopy (years)\", \"bbox\": [1, 149, 81, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1 to 3\", \"bbox\": [1, 161, 22, 171]}, {\"cell\": \"50\", \"bbox\": [151, 161, 161, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 161, 267, 171]}, {\"cell\": \"Ns\", \"bbox\": [398, 161, 408, 171]}, {\"cell\": \"3 to 5\", \"bbox\": [1, 173, 22, 183]}, {\"cell\": \"25\", \"bbox\": [151, 173, 161, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 173, 267, 183]}, {\"cell\": \"Ns\", \"bbox\": [398, 173, 408, 183]}, {\"cell\": \"5 to 10\", \"bbox\": [1, 185, 26, 195]}, {\"cell\": \"11\", \"bbox\": [151, 185, 161, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 185, 267, 195]}, {\"cell\": \"Ns\", \"bbox\": [398, 185, 408, 195]}, {\"cell\": \"> 10\", \"bbox\": [1, 197, 18, 207]}, {\"cell\": \"8\", \"bbox\": [151, 197, 157, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 197, 267, 207]}, {\"cell\": \"Ns\", \"bbox\": [398, 197, 408, 207]}, {\"cell\": \"Previous polyp resection\", \"bbox\": [1, 210, 81, 220]}, {\"cell\": \"26 (10.8%)\", \"bbox\": [151, 210, 186, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 210, 289, 220]}, {\"cell\": \"Ns\", \"bbox\": [398, 210, 408, 220]}, {\"cell\": \"Familial history of colorectal cancer\", \"bbox\": [1, 223, 116, 233]}, {\"cell\": \"44 (18.3%)\", \"bbox\": [151, 223, 186, 233]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 223, 293, 233]}, {\"cell\": \"Ns\", \"bbox\": [398, 223, 408, 233]}, {\"cell\": \"Excellent/good bowel preparation\", \"bbox\": [1, 237, 112, 246]}, {\"cell\": \"167 (69.3%)\", \"bbox\": [151, 237, 190, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 237, 297, 246]}, {\"cell\": \"Ns\", \"bbox\": [398, 237, 408, 246]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3196709_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Number of risk-genotypes*[EMPTY_CELL]
[EMPTY_CELL]0123Pb
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]7/20114/126169/15529/17[EMPTY_CELL]
[EMPTY_CELL]1.02.583.124.900.004
[EMPTY_CELL](reference)(1.05–6.33)(1.28–7.58)(1.72–14.0)[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]11/14161/167198/20325/25[EMPTY_CELL]
[EMPTY_CELL]1.01.241.251.280.74
[EMPTY_CELL](reference)(0.55–2.82)(0.55–2.83)(0.49–3.35)[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]10/34132/293177/35823/42[EMPTY_CELL]
[EMPTY_CELL]1.01.511.651.860.16
[EMPTY_CELL](reference)(0.72–3.14)(0.80–3.42)(0.78–4.44)[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]8/34143/293190/35831/42[EMPTY_CELL]
[EMPTY_CELL]1.02.132.323.180.03
[EMPTY_CELL](reference)(0.96–4.73)(1.05–5.11)(1.29–7.82)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Number of risk-genotypes*\", \"bbox\": [204, 4, 298, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0\", \"bbox\": [123, 27, 129, 36]}, {\"cell\": \"1\", \"bbox\": [206, 27, 212, 36]}, {\"cell\": \"2\", \"bbox\": [289, 27, 296, 36]}, {\"cell\": \"3\", \"bbox\": [373, 27, 379, 36]}, {\"cell\": \"Pb\", \"bbox\": [454, 26, 463, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 49, 71, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 59, 49, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [16, 69, 70, 79]}, {\"cell\": \"7/20\", \"bbox\": [118, 69, 135, 79]}, {\"cell\": \"114/126\", \"bbox\": [195, 69, 224, 79]}, {\"cell\": \"169/155\", \"bbox\": [278, 69, 307, 79]}, {\"cell\": \"29/17\", \"bbox\": [365, 69, 386, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [36, 79, 50, 89]}, {\"cell\": \"1.0\", \"bbox\": [120, 79, 132, 89]}, {\"cell\": \"2.58\", \"bbox\": [201, 79, 217, 89]}, {\"cell\": \"3.12\", \"bbox\": [284, 79, 301, 89]}, {\"cell\": \"4.90\", \"bbox\": [368, 79, 384, 89]}, {\"cell\": \"0.004\", \"bbox\": [449, 79, 469, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [26, 89, 60, 100]}, {\"cell\": \"(reference)\", \"bbox\": [107, 90, 146, 100]}, {\"cell\": \"(1.05–6.33)\", \"bbox\": [190, 90, 229, 100]}, {\"cell\": \"(1.28–7.58)\", \"bbox\": [273, 90, 312, 100]}, {\"cell\": \"(1.72–14.0)\", \"bbox\": [356, 90, 396, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 100, 39, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [16, 110, 70, 120]}, {\"cell\": \"11/14\", \"bbox\": [116, 110, 137, 120]}, {\"cell\": \"161/167\", \"bbox\": [195, 110, 224, 120]}, {\"cell\": \"198/203\", \"bbox\": [278, 110, 307, 120]}, {\"cell\": \"25/25\", \"bbox\": [365, 110, 386, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [36, 120, 50, 130]}, {\"cell\": \"1.0\", \"bbox\": [120, 120, 132, 130]}, {\"cell\": \"1.24\", \"bbox\": [201, 120, 217, 130]}, {\"cell\": \"1.25\", \"bbox\": [284, 120, 301, 130]}, {\"cell\": \"1.28\", \"bbox\": [368, 120, 384, 130]}, {\"cell\": \"0.74\", \"bbox\": [451, 120, 467, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [26, 130, 60, 141]}, {\"cell\": \"(reference)\", \"bbox\": [107, 131, 146, 141]}, {\"cell\": \"(0.55–2.82)\", \"bbox\": [190, 131, 229, 141]}, {\"cell\": \"(0.55–2.83)\", \"bbox\": [273, 131, 312, 141]}, {\"cell\": \"(0.49–3.35)\", \"bbox\": [356, 131, 396, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 141, 44, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 151, 27, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [16, 162, 70, 171]}, {\"cell\": \"10/34\", \"bbox\": [116, 162, 137, 171]}, {\"cell\": \"132/293\", \"bbox\": [195, 162, 224, 171]}, {\"cell\": \"177/358\", \"bbox\": [278, 162, 307, 171]}, {\"cell\": \"23/42\", \"bbox\": [365, 162, 386, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [36, 172, 50, 182]}, {\"cell\": \"1.0\", \"bbox\": [120, 172, 132, 182]}, {\"cell\": \"1.51\", \"bbox\": [201, 172, 217, 182]}, {\"cell\": \"1.65\", \"bbox\": [284, 172, 301, 182]}, {\"cell\": \"1.86\", \"bbox\": [368, 172, 384, 182]}, {\"cell\": \"0.16\", \"bbox\": [451, 172, 467, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [26, 182, 60, 192]}, {\"cell\": \"(reference)\", \"bbox\": [107, 182, 146, 192]}, {\"cell\": \"(0.72–3.14)\", \"bbox\": [190, 182, 229, 192]}, {\"cell\": \"(0.80–3.42)\", \"bbox\": [273, 182, 312, 192]}, {\"cell\": \"(0.78–4.44)\", \"bbox\": [356, 182, 396, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 192, 32, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [16, 202, 70, 212]}, {\"cell\": \"8/34\", \"bbox\": [118, 202, 135, 212]}, {\"cell\": \"143/293\", \"bbox\": [195, 202, 224, 212]}, {\"cell\": \"190/358\", \"bbox\": [278, 202, 307, 212]}, {\"cell\": \"31/42\", \"bbox\": [365, 202, 386, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [36, 213, 50, 223]}, {\"cell\": \"1.0\", \"bbox\": [120, 213, 132, 223]}, {\"cell\": \"2.13\", \"bbox\": [201, 213, 217, 223]}, {\"cell\": \"2.32\", \"bbox\": [284, 213, 301, 223]}, {\"cell\": \"3.18\", \"bbox\": [368, 213, 384, 223]}, {\"cell\": \"0.03\", \"bbox\": [451, 213, 467, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [26, 223, 60, 233]}, {\"cell\": \"(reference)\", \"bbox\": [107, 223, 146, 233]}, {\"cell\": \"(0.96–4.73)\", \"bbox\": [190, 223, 229, 233]}, {\"cell\": \"(1.05–5.11)\", \"bbox\": [273, 223, 312, 233]}, {\"cell\": \"(1.29–7.82)\", \"bbox\": [356, 223, 396, 233]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC549041_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Argimycin PIVArgimycin PVArgimycin PVI
CarbonδH (mult, J, Hz)δC (ppm)δH (mult, J, Hz)δC (ppm)δH (mult, J, Hz)δC (ppm)
23.27 (app quintet, ca. 6.3)3.02 (app quintet, ca. 6.3)35.53.18 (app quintet, ca. 6.3)3.07 (app quintet, ca. 6.3)39.13.13 (m)3.00 (m)[EMPTY_CELL]
31.97 (m) 1.72 (m)23.31.95 (m) 1.68 (m)16.41.78 (m) 1.69 (m)[EMPTY_CELL]
43.89 (dd, 6.6, 3.0)68.91.89 (m)30.91.99 (m)[EMPTY_CELL]
4a–77.4–76.33.02 (m)[EMPTY_CELL]
5–142.4–144.8–[EMPTY_CELL]
67.06 (br d, 6.0)135.57.02 (br d, 6.0)134.57.17 (br d, 5.8)[EMPTY_CELL]
76.02 (br d, 6.0)126.66.00 (br d, 6.0)126.76.15 (br dt, 5.9)[EMPTY_CELL]
7a4.36 (br s)67.04.13 (br s)66.94.25 (dd, 6.5, 2.3)[EMPTY_CELL]
86.15 (d, 11.2)125.26.10 (d, 11.2)123.06.04 (d, 11.1)[EMPTY_CELL]
96.49 (ddq, 14, 11.2, 1.5)127.56.47 (ddq, 14.0, 11.2, 1.6)127.46.52 (ddq, 14, 11.1, 1.6)[EMPTY_CELL]
105.91 (dq, 14, 6.7)132.15.88 (dq, 14.0, 6.8)131.55.83 (dq, 14, 6.8)[EMPTY_CELL]
111.85 (br d, 6.7)17.11.84 (dd, 6.9, 1)17.11.83 (brd, 6.9)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Argimycin PIV\", \"bbox\": [88, 6, 136, 15]}, {\"cell\": \"Argimycin PV\", \"bbox\": [251, 6, 298, 15]}, {\"cell\": \"Argimycin PVI\", \"bbox\": [410, 6, 458, 15]}, {\"cell\": \"Carbon\", \"bbox\": [1, 26, 27, 34]}, {\"cell\": \"δH (mult, J, Hz)\", \"bbox\": [58, 26, 109, 35]}, {\"cell\": \"δC (ppm)\", \"bbox\": [149, 26, 180, 35]}, {\"cell\": \"δH (mult, J, Hz)\", \"bbox\": [220, 26, 271, 35]}, {\"cell\": \"δC (ppm)\", \"bbox\": [312, 26, 342, 35]}, {\"cell\": \"δH (mult, J, Hz)\", \"bbox\": [383, 26, 434, 35]}, {\"cell\": \"δC (ppm)\", \"bbox\": [474, 26, 505, 35]}, {\"cell\": \"2\", \"bbox\": [1, 43, 6, 51]}, {\"cell\": \"3.27 (app quintet, ca. 6.3)3.02 (app quintet, ca. 6.3)\", \"bbox\": [43, 43, 123, 61]}, {\"cell\": \"35.5\", \"bbox\": [157, 43, 172, 51]}, {\"cell\": \"3.18 (app quintet, ca. 6.3)3.07 (app quintet, ca. 6.3)\", \"bbox\": [206, 43, 286, 61]}, {\"cell\": \"39.1\", \"bbox\": [319, 43, 335, 51]}, {\"cell\": \"3.13 (m)3.00 (m)\", \"bbox\": [395, 43, 422, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [482, 43, 497, 51]}, {\"cell\": \"3\", \"bbox\": [1, 64, 6, 72]}, {\"cell\": \"1.97 (m) 1.72 (m)\", \"bbox\": [57, 64, 110, 72]}, {\"cell\": \"23.3\", \"bbox\": [157, 64, 172, 72]}, {\"cell\": \"1.95 (m) 1.68 (m)\", \"bbox\": [219, 64, 273, 72]}, {\"cell\": \"16.4\", \"bbox\": [319, 64, 335, 72]}, {\"cell\": \"1.78 (m) 1.69 (m)\", \"bbox\": [381, 64, 435, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [482, 64, 497, 72]}, {\"cell\": \"4\", \"bbox\": [1, 75, 6, 84]}, {\"cell\": \"3.89 (dd, 6.6, 3.0)\", \"bbox\": [55, 75, 112, 84]}, {\"cell\": \"68.9\", \"bbox\": [157, 75, 172, 84]}, {\"cell\": \"1.89 (m)\", \"bbox\": [232, 75, 259, 84]}, {\"cell\": \"30.9\", \"bbox\": [319, 75, 335, 84]}, {\"cell\": \"1.99 (m)\", \"bbox\": [395, 75, 422, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [482, 75, 497, 84]}, {\"cell\": \"4a\", \"bbox\": [1, 87, 10, 95]}, {\"cell\": \"–\", \"bbox\": [82, 87, 87, 95]}, {\"cell\": \"77.4\", \"bbox\": [157, 87, 172, 95]}, {\"cell\": \"–\", \"bbox\": [244, 87, 250, 95]}, {\"cell\": \"76.3\", \"bbox\": [319, 87, 335, 95]}, {\"cell\": \"3.02 (m)\", \"bbox\": [395, 87, 422, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [482, 87, 497, 95]}, {\"cell\": \"5\", \"bbox\": [1, 98, 6, 106]}, {\"cell\": \"–\", \"bbox\": [82, 98, 87, 106]}, {\"cell\": \"142.4\", \"bbox\": [152, 98, 172, 106]}, {\"cell\": \"–\", \"bbox\": [244, 98, 250, 106]}, {\"cell\": \"144.8\", \"bbox\": [315, 98, 334, 106]}, {\"cell\": \"–\", \"bbox\": [406, 98, 412, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [477, 98, 497, 106]}, {\"cell\": \"6\", \"bbox\": [1, 109, 6, 118]}, {\"cell\": \"7.06 (br d, 6.0)\", \"bbox\": [60, 109, 107, 118]}, {\"cell\": \"135.5\", \"bbox\": [152, 109, 172, 118]}, {\"cell\": \"7.02 (br d, 6.0)\", \"bbox\": [222, 109, 269, 118]}, {\"cell\": \"134.5\", \"bbox\": [315, 109, 334, 118]}, {\"cell\": \"7.17 (br d, 5.8)\", \"bbox\": [385, 109, 432, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [477, 109, 497, 118]}, {\"cell\": \"7\", \"bbox\": [1, 121, 6, 129]}, {\"cell\": \"6.02 (br d, 6.0)\", \"bbox\": [60, 121, 107, 129]}, {\"cell\": \"126.6\", \"bbox\": [152, 121, 172, 129]}, {\"cell\": \"6.00 (br d, 6.0)\", \"bbox\": [222, 121, 269, 129]}, {\"cell\": \"126.7\", \"bbox\": [315, 121, 334, 129]}, {\"cell\": \"6.15 (br dt, 5.9)\", \"bbox\": [384, 121, 433, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [477, 121, 497, 129]}, {\"cell\": \"7a\", \"bbox\": [1, 132, 10, 140]}, {\"cell\": \"4.36 (br s)\", \"bbox\": [67, 132, 100, 140]}, {\"cell\": \"67.0\", \"bbox\": [157, 132, 172, 140]}, {\"cell\": \"4.13 (br s)\", \"bbox\": [230, 132, 262, 140]}, {\"cell\": \"66.9\", \"bbox\": [319, 132, 335, 140]}, {\"cell\": \"4.25 (dd, 6.5, 2.3)\", \"bbox\": [380, 132, 436, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [482, 132, 497, 140]}, {\"cell\": \"8\", \"bbox\": [1, 143, 6, 152]}, {\"cell\": \"6.15 (d, 11.2)\", \"bbox\": [62, 143, 105, 152]}, {\"cell\": \"125.2\", \"bbox\": [152, 143, 172, 152]}, {\"cell\": \"6.10 (d, 11.2)\", \"bbox\": [225, 143, 267, 152]}, {\"cell\": \"123.0\", \"bbox\": [315, 143, 334, 152]}, {\"cell\": \"6.04 (d, 11.1)\", \"bbox\": [387, 143, 429, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [477, 143, 497, 152]}, {\"cell\": \"9\", \"bbox\": [1, 155, 6, 163]}, {\"cell\": \"6.49 (ddq, 14, 11.2, 1.5)\", \"bbox\": [46, 155, 121, 163]}, {\"cell\": \"127.5\", \"bbox\": [152, 155, 172, 163]}, {\"cell\": \"6.47 (ddq, 14.0, 11.2, 1.6)\", \"bbox\": [205, 155, 287, 163]}, {\"cell\": \"127.4\", \"bbox\": [315, 155, 334, 163]}, {\"cell\": \"6.52 (ddq, 14, 11.1, 1.6)\", \"bbox\": [370, 155, 446, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [477, 155, 497, 163]}, {\"cell\": \"10\", \"bbox\": [1, 166, 10, 174]}, {\"cell\": \"5.91 (dq, 14, 6.7)\", \"bbox\": [56, 166, 111, 174]}, {\"cell\": \"132.1\", \"bbox\": [152, 166, 172, 174]}, {\"cell\": \"5.88 (dq, 14.0, 6.8)\", \"bbox\": [216, 166, 276, 174]}, {\"cell\": \"131.5\", \"bbox\": [315, 166, 334, 174]}, {\"cell\": \"5.83 (dq, 14, 6.8)\", \"bbox\": [381, 166, 435, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [477, 166, 497, 174]}, {\"cell\": \"11\", \"bbox\": [1, 177, 10, 186]}, {\"cell\": \"1.85 (br d, 6.7)\", \"bbox\": [60, 177, 107, 186]}, {\"cell\": \"17.1\", \"bbox\": [157, 177, 172, 186]}, {\"cell\": \"1.84 (dd, 6.9, 1)\", \"bbox\": [221, 177, 271, 186]}, {\"cell\": \"17.1\", \"bbox\": [319, 177, 335, 186]}, {\"cell\": \"1.83 (brd, 6.9)\", \"bbox\": [386, 177, 431, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [482, 177, 497, 186]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5300972_009_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
CasesGenderAge (years)Grade (0–4)CAGn RepeatsCAGn Repeats
Huntington’s disease
HD1M[EMPTY_CELL]11946
HD2M[EMPTY_CELL]21746
HD3F[EMPTY_CELL]21743
HD4M[EMPTY_CELL]31947
HD5F[EMPTY_CELL]41945
HD6M[EMPTY_CELL]12346
HD7M[EMPTY_CELL]11744
HD8F[EMPTY_CELL]21946
HD9M[EMPTY_CELL]31745
HD10M[EMPTY_CELL]32443
HD11M[EMPTY_CELL]31943
HD12M[EMPTY_CELL]32145
HD13M[EMPTY_CELL]41945
HD14M[EMPTY_CELL]42048
HD15M[EMPTY_CELL]41851
HD16F[EMPTY_CELL]42270
[EMPTY_CELL]F:M 4:12[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Sporadic tauopathies
ADF[EMPTY_CELL][EMPTY_CELL]1818
PSPM[EMPTY_CELL][EMPTY_CELL]2020
PiDF[EMPTY_CELL][EMPTY_CELL]1924
CBDM[EMPTY_CELL][EMPTY_CELL]2833
[EMPTY_CELL]F:M 2:2[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Controls
CTL1M[EMPTY_CELL]020[EMPTY_CELL]
CTL2M[EMPTY_CELL]021[EMPTY_CELL]
CTL3M[EMPTY_CELL]020[EMPTY_CELL]
CTL4M[EMPTY_CELL]020[EMPTY_CELL]
CTL5F[EMPTY_CELL]019[EMPTY_CELL]
[EMPTY_CELL]F:M 1:4[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Cases\", \"bbox\": [6, 10, 30, 20]}, {\"cell\": \"Gender\", \"bbox\": [84, 10, 114, 20]}, {\"cell\": \"Age (years)\", \"bbox\": [155, 10, 201, 20]}, {\"cell\": \"Grade (0–4)\", \"bbox\": [263, 10, 310, 20]}, {\"cell\": \"CAGn Repeats\", \"bbox\": [346, 10, 403, 20]}, {\"cell\": \"CAGn Repeats\", \"bbox\": [437, 10, 494, 20]}, {\"cell\": \"Huntington’s disease\", \"bbox\": [6, 26, 75, 35]}, {\"cell\": \"HD1\", \"bbox\": [12, 37, 30, 46]}, {\"cell\": \"M\", \"bbox\": [84, 37, 92, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 37, 165, 46]}, {\"cell\": \"1\", \"bbox\": [263, 37, 269, 46]}, {\"cell\": \"19\", \"bbox\": [346, 37, 356, 46]}, {\"cell\": \"46\", \"bbox\": [437, 37, 447, 46]}, {\"cell\": \"HD2\", \"bbox\": [12, 48, 30, 57]}, {\"cell\": \"M\", \"bbox\": [84, 48, 92, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 48, 165, 57]}, {\"cell\": \"2\", \"bbox\": [263, 48, 269, 57]}, {\"cell\": \"17\", \"bbox\": [346, 48, 356, 57]}, {\"cell\": \"46\", \"bbox\": [437, 48, 447, 57]}, {\"cell\": \"HD3\", \"bbox\": [12, 59, 30, 68]}, {\"cell\": \"F\", \"bbox\": [84, 59, 90, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 59, 165, 68]}, {\"cell\": \"2\", \"bbox\": [263, 59, 269, 68]}, {\"cell\": \"17\", \"bbox\": [346, 59, 356, 68]}, {\"cell\": \"43\", \"bbox\": [437, 59, 447, 68]}, {\"cell\": \"HD4\", \"bbox\": [12, 70, 30, 79]}, {\"cell\": \"M\", \"bbox\": [84, 70, 92, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 70, 165, 79]}, {\"cell\": \"3\", \"bbox\": [263, 70, 269, 79]}, {\"cell\": \"19\", \"bbox\": [346, 70, 356, 79]}, {\"cell\": \"47\", \"bbox\": [437, 70, 447, 79]}, {\"cell\": \"HD5\", \"bbox\": [12, 81, 30, 90]}, {\"cell\": \"F\", \"bbox\": [84, 81, 90, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 81, 165, 90]}, {\"cell\": \"4\", \"bbox\": [263, 81, 269, 90]}, {\"cell\": \"19\", \"bbox\": [346, 81, 356, 90]}, {\"cell\": \"45\", \"bbox\": [437, 81, 447, 90]}, {\"cell\": \"HD6\", \"bbox\": [12, 92, 30, 101]}, {\"cell\": \"M\", \"bbox\": [84, 92, 92, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 92, 165, 101]}, {\"cell\": \"1\", \"bbox\": [263, 92, 269, 101]}, {\"cell\": \"23\", \"bbox\": [346, 92, 356, 101]}, {\"cell\": \"46\", \"bbox\": [437, 92, 447, 101]}, {\"cell\": \"HD7\", \"bbox\": [12, 103, 30, 112]}, {\"cell\": \"M\", \"bbox\": [84, 103, 92, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 103, 165, 112]}, {\"cell\": \"1\", \"bbox\": [263, 103, 269, 112]}, {\"cell\": \"17\", \"bbox\": [346, 103, 356, 112]}, {\"cell\": \"44\", \"bbox\": [437, 103, 447, 112]}, {\"cell\": \"HD8\", \"bbox\": [12, 114, 30, 123]}, {\"cell\": \"F\", \"bbox\": [84, 114, 90, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 114, 165, 123]}, {\"cell\": \"2\", \"bbox\": [263, 114, 269, 123]}, {\"cell\": \"19\", \"bbox\": [346, 114, 356, 123]}, {\"cell\": \"46\", \"bbox\": [437, 114, 447, 123]}, {\"cell\": \"HD9\", \"bbox\": [12, 125, 30, 134]}, {\"cell\": \"M\", \"bbox\": [84, 125, 92, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 125, 165, 134]}, {\"cell\": \"3\", \"bbox\": [263, 125, 269, 134]}, {\"cell\": \"17\", \"bbox\": [346, 125, 356, 134]}, {\"cell\": \"45\", \"bbox\": [437, 125, 447, 134]}, {\"cell\": \"HD10\", \"bbox\": [12, 135, 34, 145]}, {\"cell\": \"M\", \"bbox\": [84, 135, 92, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 135, 165, 145]}, {\"cell\": \"3\", \"bbox\": [263, 135, 269, 145]}, {\"cell\": \"24\", \"bbox\": [346, 135, 356, 145]}, {\"cell\": \"43\", \"bbox\": [437, 135, 447, 145]}, {\"cell\": \"HD11\", \"bbox\": [12, 146, 34, 156]}, {\"cell\": \"M\", \"bbox\": [84, 146, 92, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 146, 165, 156]}, {\"cell\": \"3\", \"bbox\": [263, 146, 269, 156]}, {\"cell\": \"19\", \"bbox\": [346, 146, 356, 156]}, {\"cell\": \"43\", \"bbox\": [437, 146, 447, 156]}, {\"cell\": \"HD12\", \"bbox\": [12, 157, 34, 167]}, {\"cell\": \"M\", \"bbox\": [84, 157, 92, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 157, 165, 167]}, {\"cell\": \"3\", \"bbox\": [263, 157, 269, 167]}, {\"cell\": \"21\", \"bbox\": [346, 157, 356, 167]}, {\"cell\": \"45\", \"bbox\": [437, 157, 447, 167]}, {\"cell\": \"HD13\", \"bbox\": [12, 168, 34, 178]}, {\"cell\": \"M\", \"bbox\": [84, 168, 92, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 168, 165, 178]}, {\"cell\": \"4\", \"bbox\": [263, 168, 269, 178]}, {\"cell\": \"19\", \"bbox\": [346, 168, 356, 178]}, {\"cell\": \"45\", \"bbox\": [437, 168, 447, 178]}, {\"cell\": \"HD14\", \"bbox\": [12, 179, 34, 189]}, {\"cell\": \"M\", \"bbox\": [84, 179, 92, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 179, 165, 189]}, {\"cell\": \"4\", \"bbox\": [263, 179, 269, 189]}, {\"cell\": \"20\", \"bbox\": [346, 179, 356, 189]}, {\"cell\": \"48\", \"bbox\": [437, 179, 447, 189]}, {\"cell\": \"HD15\", \"bbox\": [12, 190, 34, 200]}, {\"cell\": \"M\", \"bbox\": [84, 190, 92, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 190, 165, 200]}, {\"cell\": \"4\", \"bbox\": [263, 190, 269, 200]}, {\"cell\": \"18\", \"bbox\": [346, 190, 356, 200]}, {\"cell\": \"51\", \"bbox\": [437, 190, 447, 200]}, {\"cell\": \"HD16\", \"bbox\": [12, 201, 34, 211]}, {\"cell\": \"F\", \"bbox\": [84, 201, 90, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 201, 165, 211]}, {\"cell\": \"4\", \"bbox\": [263, 201, 269, 211]}, {\"cell\": \"22\", \"bbox\": [346, 201, 356, 211]}, {\"cell\": \"70\", \"bbox\": [437, 201, 447, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"F:M 4:12\", \"bbox\": [84, 212, 114, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 212, 223, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Sporadic tauopathies\", \"bbox\": [6, 223, 77, 232]}, {\"cell\": \"AD\", \"bbox\": [12, 234, 26, 243]}, {\"cell\": \"F\", \"bbox\": [84, 234, 90, 243]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 234, 165, 243]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"18\", \"bbox\": [346, 234, 356, 243]}, {\"cell\": \"18\", \"bbox\": [437, 234, 447, 243]}, {\"cell\": \"PSP\", \"bbox\": [12, 245, 26, 254]}, {\"cell\": \"M\", \"bbox\": [84, 245, 92, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 245, 165, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"20\", \"bbox\": [346, 245, 356, 254]}, {\"cell\": \"20\", \"bbox\": [437, 245, 447, 254]}, {\"cell\": \"PiD\", \"bbox\": [12, 256, 26, 265]}, {\"cell\": \"F\", \"bbox\": [84, 256, 90, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 256, 165, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"19\", \"bbox\": [346, 256, 356, 265]}, {\"cell\": \"24\", \"bbox\": [437, 256, 447, 265]}, {\"cell\": \"CBD\", \"bbox\": [12, 267, 31, 276]}, {\"cell\": \"M\", \"bbox\": [84, 267, 92, 276]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 267, 165, 276]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"28\", \"bbox\": [346, 267, 356, 276]}, {\"cell\": \"33\", \"bbox\": [437, 267, 447, 276]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"F:M 2:2\", \"bbox\": [84, 278, 111, 287]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 278, 219, 287]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Controls\", \"bbox\": [6, 289, 37, 298]}, {\"cell\": \"CTL1\", \"bbox\": [12, 300, 33, 309]}, {\"cell\": \"M\", \"bbox\": [84, 300, 92, 309]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 300, 165, 309]}, {\"cell\": \"0\", \"bbox\": [263, 300, 269, 309]}, {\"cell\": \"20\", \"bbox\": [346, 300, 356, 309]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CTL2\", \"bbox\": [12, 311, 33, 320]}, {\"cell\": \"M\", \"bbox\": [84, 311, 92, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 311, 165, 320]}, {\"cell\": \"0\", \"bbox\": [263, 311, 269, 320]}, {\"cell\": \"21\", \"bbox\": [346, 311, 356, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CTL3\", \"bbox\": [12, 322, 33, 331]}, {\"cell\": \"M\", \"bbox\": [84, 322, 92, 331]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 322, 165, 331]}, {\"cell\": \"0\", \"bbox\": [263, 322, 269, 331]}, {\"cell\": \"20\", \"bbox\": [346, 322, 356, 331]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CTL4\", \"bbox\": [12, 333, 33, 342]}, {\"cell\": \"M\", \"bbox\": [84, 333, 92, 342]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 333, 165, 342]}, {\"cell\": \"0\", \"bbox\": [263, 333, 269, 342]}, {\"cell\": \"20\", \"bbox\": [346, 333, 356, 342]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CTL5\", \"bbox\": [12, 344, 33, 353]}, {\"cell\": \"F\", \"bbox\": [84, 344, 90, 353]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 344, 165, 353]}, {\"cell\": \"0\", \"bbox\": [263, 344, 269, 353]}, {\"cell\": \"19\", \"bbox\": [346, 344, 356, 353]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"F:M 1:4\", \"bbox\": [84, 355, 111, 364]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 355, 224, 364]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4572485_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
M/z (Da)Multiple testing corrected p-values
[EMPTY_CELL]CON vs. AP vs. CRCAP vs. CRC
[EMPTY_CELL]0.001<0.001
[EMPTY_CELL]0.0100.014
[EMPTY_CELL]0.001<0.001
[EMPTY_CELL]0.0050.010
[EMPTY_CELL]0.0120.004
[EMPTY_CELL]NS0.010
[EMPTY_CELL]0.0020.001
[EMPTY_CELL]0.0040.005
[EMPTY_CELL]0.0040.006
[EMPTY_CELL]0.0060.002
[EMPTY_CELL]0.001<0.001
[EMPTY_CELL]NS0.005
[EMPTY_CELL]0.001<0.001
[EMPTY_CELL]0.001<0.001
[EMPTY_CELL]0.001<0.001
[EMPTY_CELL]0.0030.005
[EMPTY_CELL]NS0.006
[EMPTY_CELL]NS0.006
[EMPTY_CELL]0.002<0.001
[EMPTY_CELL]0.0050.002
[EMPTY_CELL]NS0.006
[EMPTY_CELL]0.0050.004
[EMPTY_CELL]0.0050.002
[EMPTY_CELL]0.001<0.001
[EMPTY_CELL]0.0060.002
\", \"cells\": [{\"cell\": \"M/z (Da)\", \"bbox\": [1, 5, 41, 16]}, {\"cell\": \"Multiple testing corrected p-values\", \"bbox\": [99, 5, 223, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CON vs. AP vs. CRC\", \"bbox\": [83, 31, 140, 54]}, {\"cell\": \"AP vs. CRC\", \"bbox\": [182, 31, 239, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 58, 25, 69]}, {\"cell\": \"0.001\", \"bbox\": [98, 58, 125, 69]}, {\"cell\": \"<0.001\", \"bbox\": [193, 58, 228, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 74, 25, 85]}, {\"cell\": \"0.010\", \"bbox\": [98, 74, 125, 85]}, {\"cell\": \"0.014\", \"bbox\": [197, 74, 224, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 89, 25, 100]}, {\"cell\": \"0.001\", \"bbox\": [98, 89, 125, 100]}, {\"cell\": \"<0.001\", \"bbox\": [193, 90, 228, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 105, 25, 116]}, {\"cell\": \"0.005\", \"bbox\": [98, 105, 125, 116]}, {\"cell\": \"0.010\", \"bbox\": [197, 105, 224, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 120, 25, 132]}, {\"cell\": \"0.012\", \"bbox\": [98, 120, 125, 132]}, {\"cell\": \"0.004\", \"bbox\": [197, 120, 224, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 135, 25, 147]}, {\"cell\": \"NS\", \"bbox\": [104, 135, 120, 147]}, {\"cell\": \"0.010\", \"bbox\": [197, 135, 224, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 151, 25, 162]}, {\"cell\": \"0.002\", \"bbox\": [98, 151, 125, 162]}, {\"cell\": \"0.001\", \"bbox\": [197, 151, 224, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 166, 25, 177]}, {\"cell\": \"0.004\", \"bbox\": [98, 166, 125, 177]}, {\"cell\": \"0.005\", \"bbox\": [197, 166, 224, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 181, 25, 193]}, {\"cell\": \"0.004\", \"bbox\": [98, 181, 125, 193]}, {\"cell\": \"0.006\", \"bbox\": [197, 181, 224, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 197, 25, 208]}, {\"cell\": \"0.006\", \"bbox\": [98, 197, 125, 208]}, {\"cell\": \"0.002\", \"bbox\": [197, 197, 224, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 212, 25, 223]}, {\"cell\": \"0.001\", \"bbox\": [98, 212, 125, 223]}, {\"cell\": \"<0.001\", \"bbox\": [193, 212, 228, 224]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 228, 25, 239]}, {\"cell\": \"NS\", \"bbox\": [104, 228, 120, 239]}, {\"cell\": \"0.005\", \"bbox\": [197, 228, 224, 239]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 243, 25, 254]}, {\"cell\": \"0.001\", \"bbox\": [98, 243, 125, 254]}, {\"cell\": \"<0.001\", \"bbox\": [193, 243, 228, 255]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 259, 25, 270]}, {\"cell\": \"0.001\", \"bbox\": [98, 259, 125, 270]}, {\"cell\": \"<0.001\", \"bbox\": [193, 259, 228, 271]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 275, 30, 286]}, {\"cell\": \"0.001\", \"bbox\": [98, 275, 125, 286]}, {\"cell\": \"<0.001\", \"bbox\": [193, 275, 228, 286]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 290, 30, 302]}, {\"cell\": \"0.003\", \"bbox\": [98, 290, 125, 302]}, {\"cell\": \"0.005\", \"bbox\": [197, 290, 224, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 306, 30, 317]}, {\"cell\": \"NS\", \"bbox\": [104, 306, 120, 317]}, {\"cell\": \"0.006\", \"bbox\": [197, 306, 224, 317]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 321, 30, 332]}, {\"cell\": \"NS\", \"bbox\": [104, 321, 120, 332]}, {\"cell\": \"0.006\", \"bbox\": [197, 321, 224, 332]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 336, 30, 348]}, {\"cell\": \"0.002\", \"bbox\": [98, 336, 125, 348]}, {\"cell\": \"<0.001\", \"bbox\": [193, 337, 228, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 352, 30, 363]}, {\"cell\": \"0.005\", \"bbox\": [98, 352, 125, 363]}, {\"cell\": \"0.002\", \"bbox\": [197, 352, 224, 363]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 367, 30, 379]}, {\"cell\": \"NS\", \"bbox\": [104, 367, 120, 379]}, {\"cell\": \"0.006\", \"bbox\": [197, 367, 224, 379]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 382, 30, 394]}, {\"cell\": \"0.005\", \"bbox\": [98, 382, 125, 394]}, {\"cell\": \"0.004\", \"bbox\": [197, 382, 224, 394]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 398, 30, 409]}, {\"cell\": \"0.005\", \"bbox\": [98, 398, 125, 409]}, {\"cell\": \"0.002\", \"bbox\": [197, 398, 224, 409]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 413, 30, 424]}, {\"cell\": \"0.001\", \"bbox\": [98, 413, 125, 424]}, {\"cell\": \"<0.001\", \"bbox\": [193, 414, 228, 425]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 429, 30, 440]}, {\"cell\": \"0.006\", \"bbox\": [98, 429, 125, 440]}, {\"cell\": \"0.002\", \"bbox\": [197, 429, 224, 440]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2688344_006_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Imaging parametersAcquisition protocol 1Acquisition protocol 2
Set kilo-voltage 90 kV[EMPTY_CELL]
Number of images133[EMPTY_CELL]
Angular increment (°/ima)1.5 [EMPTY_CELL]
Maximum CBCT speed (°/s)100 [EMPTY_CELL]
Maximum readout speed (ima/s)67 [EMPTY_CELL]
Total acquisition time (s)2.54[EMPTY_CELL]
Detector entrance dose (uGy/frame)0.36 [EMPTY_CELL]
Contrast injection parametersInjection protocol 1[EMPTY_CELL]
Contrast volume (mL)6 [EMPTY_CELL]
Iodine/mL320[EMPTY_CELL]
Saline (mL)12 [EMPTY_CELL]
Flow rate (mL/s)3 [EMPTY_CELL]
X-ray delay (s)3 [EMPTY_CELL]
Injection duration (s)6 [EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Imaging parameters\", \"bbox\": [2, 4, 76, 15]}, {\"cell\": \"Acquisition protocol 1\", \"bbox\": [233, 4, 314, 15]}, {\"cell\": \"Acquisition protocol 2\", \"bbox\": [417, 4, 499, 15]}, {\"cell\": \"Set kilo-voltage \", \"bbox\": [2, 17, 60, 27]}, {\"cell\": \"90 kV\", \"bbox\": [262, 17, 285, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [446, 17, 469, 27]}, {\"cell\": \"Number of images\", \"bbox\": [2, 29, 71, 40]}, {\"cell\": \"133\", \"bbox\": [267, 29, 280, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [451, 29, 465, 40]}, {\"cell\": \"Angular increment (°/ima)\", \"bbox\": [2, 38, 100, 52]}, {\"cell\": \"1.5 \", \"bbox\": [268, 42, 279, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [452, 42, 463, 52]}, {\"cell\": \"Maximum CBCT speed (°/s)\", \"bbox\": [2, 50, 107, 65]}, {\"cell\": \"100 \", \"bbox\": [267, 54, 281, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [449, 54, 466, 65]}, {\"cell\": \"Maximum readout speed (ima/s)\", \"bbox\": [2, 67, 122, 77]}, {\"cell\": \"67 \", \"bbox\": [268, 67, 279, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [453, 67, 463, 77]}, {\"cell\": \"Total acquisition time (s)\", \"bbox\": [2, 79, 94, 90]}, {\"cell\": \"2.54\", \"bbox\": [265, 79, 282, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [449, 79, 466, 90]}, {\"cell\": \"Detector entrance dose (uGy/frame)\", \"bbox\": [2, 91, 135, 102]}, {\"cell\": \"0.36 \", \"bbox\": [265, 91, 282, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [449, 91, 466, 102]}, {\"cell\": \"Contrast injection parameters\", \"bbox\": [2, 104, 112, 115]}, {\"cell\": \"Injection protocol 1\", \"bbox\": [238, 104, 310, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 104, 494, 115]}, {\"cell\": \"Contrast volume (mL)\", \"bbox\": [2, 117, 85, 128]}, {\"cell\": \"6 \", \"bbox\": [271, 117, 277, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 117, 461, 128]}, {\"cell\": \"Iodine/mL\", \"bbox\": [2, 130, 43, 140]}, {\"cell\": \"320\", \"bbox\": [267, 130, 281, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 130, 465, 140]}, {\"cell\": \"Saline (mL)\", \"bbox\": [2, 142, 47, 153]}, {\"cell\": \"12 \", \"bbox\": [269, 142, 278, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [452, 142, 463, 153]}, {\"cell\": \"Flow rate (mL/s)\", \"bbox\": [2, 155, 64, 165]}, {\"cell\": \"3 \", \"bbox\": [271, 155, 277, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 155, 461, 165]}, {\"cell\": \"X-ray delay (s)\", \"bbox\": [2, 167, 57, 178]}, {\"cell\": \"3 \", \"bbox\": [271, 167, 277, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [454, 167, 461, 178]}, {\"cell\": \"Injection duration (s)\", \"bbox\": [2, 179, 81, 190]}, {\"cell\": \"6 \", \"bbox\": [271, 179, 277, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [454, 179, 461, 190]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4385616_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
ItemQuestionsMean ± S.D.[EMPTY_CELL]
Q1Did you sleep well?[EMPTY_CELL][EMPTY_CELL]
Q2Do you worry about your pain and/or nausea?[EMPTY_CELL][EMPTY_CELL]
Q3Have you felt unable to concentrate?[EMPTY_CELL][EMPTY_CELL]
Q4Did you experience nausea?[EMPTY_CELL][EMPTY_CELL]
Q5Did you vomit?[EMPTY_CELL][EMPTY_CELL]
Q6Rate of your pain[EMPTY_CELL][EMPTY_CELL]
Q7Did you enjoy a book or radio or television program?[EMPTY_CELL][EMPTY_CELL]
Q8Were you able to move freely to a rest room without assistance?[EMPTY_CELL][EMPTY_CELL]
QOL (Patients)Self-evaluated by patients[EMPTY_CELL]p=0.0003a
QOL (Pharmacists)QOL of patients evaluated by pharmacists[EMPTY_CELL]p=0.0025a
QOL (Nurses)QOL of patients evaluated by nurses[EMPTY_CELL]p=0.7649b
\", \"cells\": [{\"cell\": \"Item\", \"bbox\": [33, 6, 53, 16]}, {\"cell\": \"Questions\", \"bbox\": [196, 6, 237, 16]}, {\"cell\": \"Mean ± S.D.\", \"bbox\": [376, 6, 426, 16]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Q1\", \"bbox\": [9, 21, 22, 31]}, {\"cell\": \"Did you sleep well?\", \"bbox\": [107, 21, 181, 31]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [380, 21, 422, 31]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Q2\", \"bbox\": [9, 37, 22, 47]}, {\"cell\": \"Do you worry about your pain and/or nausea?\", \"bbox\": [107, 37, 276, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [380, 37, 422, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Q3\", \"bbox\": [9, 52, 22, 62]}, {\"cell\": \"Have you felt unable to concentrate?\", \"bbox\": [107, 52, 242, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [380, 52, 422, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Q4\", \"bbox\": [9, 68, 22, 78]}, {\"cell\": \"Did you experience nausea?\", \"bbox\": [107, 68, 211, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [380, 68, 422, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Q5\", \"bbox\": [9, 83, 22, 93]}, {\"cell\": \"Did you vomit?\", \"bbox\": [107, 83, 166, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [380, 83, 421, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Q6\", \"bbox\": [9, 99, 22, 109]}, {\"cell\": \"Rate of your pain\", \"bbox\": [107, 99, 173, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [381, 99, 421, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Q7\", \"bbox\": [9, 114, 22, 124]}, {\"cell\": \"Did you enjoy a book or radio or television program?\", \"bbox\": [107, 114, 303, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [380, 114, 422, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Q8\", \"bbox\": [9, 130, 22, 140]}, {\"cell\": \"Were you able to move freely to a rest room without assistance?\", \"bbox\": [107, 130, 342, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [380, 130, 422, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"QOL (Patients)\", \"bbox\": [9, 145, 67, 155]}, {\"cell\": \"Self-evaluated by patients\", \"bbox\": [107, 145, 204, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 145, 422, 155]}, {\"cell\": \"p=0.0003a\", \"bbox\": [464, 145, 503, 155]}, {\"cell\": \"QOL (Pharmacists)\", \"bbox\": [9, 161, 82, 171]}, {\"cell\": \"QOL of patients evaluated by pharmacists\", \"bbox\": [107, 161, 263, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [380, 161, 422, 171]}, {\"cell\": \"p=0.0025a\", \"bbox\": [464, 160, 503, 171]}, {\"cell\": \"QOL (Nurses)\", \"bbox\": [9, 176, 63, 186]}, {\"cell\": \"QOL of patients evaluated by nurses\", \"bbox\": [107, 176, 243, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [380, 176, 422, 186]}, {\"cell\": \"p=0.7649b\", \"bbox\": [464, 176, 503, 186]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3614841_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Group 1 (BSS)Group 2 (air)
Mean ± SDRangeMean ± SDRangeP value
[EMPTY_CELL]250 (120 : 130)250 (100 : 150)
[EMPTY_CELL]56 ± 2.352 to 6057.9 ± 3.953 to 600.1
[EMPTY_CELL]7.19 ± 1.14.96 to 9.146.51 ± 14.97 to 8.520.7
[EMPTY_CELL]2646 ± 2841858 to 28902604 ± 3671998 to 32090.16
[EMPTY_CELL]38.2 ± 627 to 4940.3 ± 8.431 to 610.8
[EMPTY_CELL]49 ± 839 to 6451 ± 1034 to 730.3
[EMPTY_CELL]508 ± 22474 to 571509 ± 34450 to 5710.28
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Group 1 (BSS)\", \"bbox\": [216, 4, 270, 15]}, {\"cell\": \"Group 2 (air)\", \"bbox\": [389, 4, 440, 15]}, {\"cell\": \"Mean ± SD\", \"bbox\": [185, 15, 226, 25]}, {\"cell\": \"Range\", \"bbox\": [265, 15, 290, 25]}, {\"cell\": \"Mean ± SD\", \"bbox\": [328, 15, 370, 25]}, {\"cell\": \"Range\", \"bbox\": [409, 15, 433, 25]}, {\"cell\": \"P value\", \"bbox\": [472, 15, 501, 25]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 28, 101, 39]}, {\"cell\": \"250 (120 : 130)\", \"bbox\": [216, 28, 270, 39]}, {\"cell\": \"250 (100 : 150)\", \"bbox\": [387, 28, 442, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 41, 42, 52]}, {\"cell\": \"56 ± 2.3\", \"bbox\": [191, 41, 220, 52]}, {\"cell\": \"52 to 60\", \"bbox\": [262, 41, 293, 52]}, {\"cell\": \"57.9 ± 3.9\", \"bbox\": [331, 41, 367, 52]}, {\"cell\": \"53 to 60\", \"bbox\": [405, 41, 437, 52]}, {\"cell\": \"0.1\", \"bbox\": [480, 41, 493, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 54, 51, 65]}, {\"cell\": \"7.19 ± 1.1\", \"bbox\": [188, 54, 223, 65]}, {\"cell\": \"4.96 to 9.14\", \"bbox\": [256, 54, 299, 65]}, {\"cell\": \"6.51 ± 1\", \"bbox\": [335, 54, 364, 65]}, {\"cell\": \"4.97 to 8.52\", \"bbox\": [399, 54, 443, 65]}, {\"cell\": \"0.7\", \"bbox\": [480, 54, 493, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 66, 91, 78]}, {\"cell\": \"2646 ± 284\", \"bbox\": [185, 67, 226, 78]}, {\"cell\": \"1858 to 2890\", \"bbox\": [253, 67, 302, 78]}, {\"cell\": \"2604 ± 367\", \"bbox\": [329, 67, 369, 78]}, {\"cell\": \"1998 to 3209\", \"bbox\": [397, 67, 445, 78]}, {\"cell\": \"0.16\", \"bbox\": [478, 67, 495, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 80, 158, 91]}, {\"cell\": \"38.2 ± 6\", \"bbox\": [191, 80, 220, 91]}, {\"cell\": \"27 to 49\", \"bbox\": [262, 80, 293, 91]}, {\"cell\": \"40.3 ± 8.4\", \"bbox\": [331, 80, 367, 91]}, {\"cell\": \"31 to 61\", \"bbox\": [405, 80, 437, 91]}, {\"cell\": \"0.8\", \"bbox\": [480, 80, 493, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 93, 123, 104]}, {\"cell\": \"49 ± 8\", \"bbox\": [194, 93, 217, 104]}, {\"cell\": \"39 to 64\", \"bbox\": [262, 93, 293, 104]}, {\"cell\": \"51 ± 10\", \"bbox\": [336, 93, 363, 104]}, {\"cell\": \"34 to 73\", \"bbox\": [405, 93, 437, 104]}, {\"cell\": \"0.3\", \"bbox\": [480, 93, 493, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 106, 130, 117]}, {\"cell\": \"508 ± 22\", \"bbox\": [190, 106, 221, 117]}, {\"cell\": \"474 to 571\", \"bbox\": [257, 106, 297, 117]}, {\"cell\": \"509 ± 34\", \"bbox\": [333, 106, 365, 117]}, {\"cell\": \"450 to 571\", \"bbox\": [401, 106, 441, 117]}, {\"cell\": \"0.28\", \"bbox\": [478, 106, 495, 117]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5911317_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
InoculumLactobacillus helveticus 5Lactobacillus delbrueckii subsp bulgaricus 202Lactococcus lactis 4068Streptococcus thermophilus 547
[EMPTY_CELL]λ (Lag)μmax (M% Rate)yEndλ (Lag)μmax (M% Rate)yEndλ (Lag)μmax (M% Rate)yEndλ (Lag)μmax M% (Rate)yEnd
Not diluted0.682.6430.061.122.3325.631.204.2525.14nd‡[EMPTY_CELL]28.23
First*4.581.9730.553.292.7626.982.624.0425.27nd[EMPTY_CELL]28.86
Second*9.011.7130.516.782.9026.823.974.0526.110.33[EMPTY_CELL]29.29
Third*11.451.8130.5010.483.0327.215.533.8326.021.59[EMPTY_CELL]29.03
Fourth*16.171.5930.4914.142.9727.287.353.7726.172.69[EMPTY_CELL]28.87
Fifth*20.071.5230.1319.062.6026.869.023.7025.873.94[EMPTY_CELL]29.42
Mean10.331.8730.389.152.7726.804.953.9425.762.14[EMPTY_CELL]28.95
SD§7.180.140.226.770.260.602.940.210.451.54[EMPTY_CELL]0.42
CV%†69.5621.770.7274.059.512.2459.395.251.7372.20[EMPTY_CELL]1.44
\", \"cells\": [{\"cell\": \"Inoculum\", \"bbox\": [1, 6, 33, 15]}, {\"cell\": \"Lactobacillus helveticus 5\", \"bbox\": [76, 6, 122, 27]}, {\"cell\": \"Lactobacillus delbrueckii subsp bulgaricus 202\", \"bbox\": [178, 6, 263, 27]}, {\"cell\": \"Lactococcus lactis 4068\", \"bbox\": [320, 6, 364, 27]}, {\"cell\": \"Streptococcus thermophilus 547\", \"bbox\": [427, 6, 487, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"λ (Lag)\", \"bbox\": [49, 35, 67, 55]}, {\"cell\": \"μmax (M% Rate)\", \"bbox\": [81, 34, 118, 55]}, {\"cell\": \"yEnd\", \"bbox\": [131, 34, 150, 43]}, {\"cell\": \"λ (Lag)\", \"bbox\": [164, 35, 182, 55]}, {\"cell\": \"μmax (M% Rate)\", \"bbox\": [196, 34, 233, 55]}, {\"cell\": \"yEnd\", \"bbox\": [253, 34, 271, 43]}, {\"cell\": \"λ (Lag)\", \"bbox\": [292, 35, 310, 55]}, {\"cell\": \"μmax (M% Rate)\", \"bbox\": [324, 34, 361, 55]}, {\"cell\": \"yEnd\", \"bbox\": [374, 34, 393, 43]}, {\"cell\": \"λ (Lag)\", \"bbox\": [407, 35, 425, 55]}, {\"cell\": \"μmax M% (Rate)\", \"bbox\": [439, 34, 476, 55]}, {\"cell\": \"yEnd\", \"bbox\": [489, 34, 508, 43]}, {\"cell\": \"Not diluted\", \"bbox\": [1, 66, 35, 74]}, {\"cell\": \"0.68\", \"bbox\": [50, 66, 66, 74]}, {\"cell\": \"2.64\", \"bbox\": [92, 66, 107, 74]}, {\"cell\": \"30.06\", \"bbox\": [131, 66, 150, 74]}, {\"cell\": \"1.12\", \"bbox\": [165, 66, 181, 74]}, {\"cell\": \"2.33\", \"bbox\": [206, 66, 222, 74]}, {\"cell\": \"25.63\", \"bbox\": [252, 66, 272, 74]}, {\"cell\": \"1.20\", \"bbox\": [293, 66, 309, 74]}, {\"cell\": \"4.25\", \"bbox\": [334, 66, 350, 74]}, {\"cell\": \"25.14\", \"bbox\": [374, 66, 393, 74]}, {\"cell\": \"nd‡\", \"bbox\": [409, 64, 422, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [449, 66, 465, 74]}, {\"cell\": \"28.23\", \"bbox\": [489, 66, 508, 74]}, {\"cell\": \"First*\", \"bbox\": [1, 78, 18, 86]}, {\"cell\": \"4.58\", \"bbox\": [50, 78, 66, 86]}, {\"cell\": \"1.97\", \"bbox\": [92, 78, 107, 86]}, {\"cell\": \"30.55\", \"bbox\": [131, 78, 150, 86]}, {\"cell\": \"3.29\", \"bbox\": [165, 78, 181, 86]}, {\"cell\": \"2.76\", \"bbox\": [206, 78, 222, 86]}, {\"cell\": \"26.98\", \"bbox\": [252, 78, 272, 86]}, {\"cell\": \"2.62\", \"bbox\": [293, 78, 309, 86]}, {\"cell\": \"4.04\", \"bbox\": [334, 78, 350, 86]}, {\"cell\": \"25.27\", \"bbox\": [374, 78, 393, 86]}, {\"cell\": \"nd\", \"bbox\": [411, 78, 421, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [449, 78, 465, 86]}, {\"cell\": \"28.86\", \"bbox\": [489, 78, 508, 86]}, {\"cell\": \"Second*\", \"bbox\": [1, 89, 28, 98]}, {\"cell\": \"9.01\", \"bbox\": [50, 89, 66, 98]}, {\"cell\": \"1.71\", \"bbox\": [92, 89, 107, 98]}, {\"cell\": \"30.51\", \"bbox\": [131, 89, 150, 98]}, {\"cell\": \"6.78\", \"bbox\": [165, 89, 181, 98]}, {\"cell\": \"2.90\", \"bbox\": [206, 89, 222, 98]}, {\"cell\": \"26.82\", \"bbox\": [252, 89, 272, 98]}, {\"cell\": \"3.97\", \"bbox\": [293, 89, 309, 98]}, {\"cell\": \"4.05\", \"bbox\": [334, 89, 350, 98]}, {\"cell\": \"26.11\", \"bbox\": [374, 89, 393, 98]}, {\"cell\": \"0.33\", \"bbox\": [408, 89, 424, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [449, 89, 465, 98]}, {\"cell\": \"29.29\", \"bbox\": [489, 89, 508, 98]}, {\"cell\": \"Third*\", \"bbox\": [1, 101, 20, 109]}, {\"cell\": \"11.45\", \"bbox\": [48, 101, 68, 109]}, {\"cell\": \"1.81\", \"bbox\": [92, 101, 107, 109]}, {\"cell\": \"30.50\", \"bbox\": [131, 101, 150, 109]}, {\"cell\": \"10.48\", \"bbox\": [163, 101, 183, 109]}, {\"cell\": \"3.03\", \"bbox\": [206, 101, 222, 109]}, {\"cell\": \"27.21\", \"bbox\": [252, 101, 272, 109]}, {\"cell\": \"5.53\", \"bbox\": [293, 101, 309, 109]}, {\"cell\": \"3.83\", \"bbox\": [334, 101, 350, 109]}, {\"cell\": \"26.02\", \"bbox\": [374, 101, 393, 109]}, {\"cell\": \"1.59\", \"bbox\": [408, 101, 424, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [449, 101, 465, 109]}, {\"cell\": \"29.03\", \"bbox\": [489, 101, 508, 109]}, {\"cell\": \"Fourth*\", \"bbox\": [1, 113, 24, 121]}, {\"cell\": \"16.17\", \"bbox\": [48, 113, 68, 121]}, {\"cell\": \"1.59\", \"bbox\": [92, 113, 107, 121]}, {\"cell\": \"30.49\", \"bbox\": [131, 113, 150, 121]}, {\"cell\": \"14.14\", \"bbox\": [163, 113, 183, 121]}, {\"cell\": \"2.97\", \"bbox\": [206, 113, 222, 121]}, {\"cell\": \"27.28\", \"bbox\": [252, 113, 272, 121]}, {\"cell\": \"7.35\", \"bbox\": [293, 113, 309, 121]}, {\"cell\": \"3.77\", \"bbox\": [334, 113, 350, 121]}, {\"cell\": \"26.17\", \"bbox\": [374, 113, 393, 121]}, {\"cell\": \"2.69\", \"bbox\": [408, 113, 424, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [449, 113, 465, 121]}, {\"cell\": \"28.87\", \"bbox\": [489, 113, 508, 121]}, {\"cell\": \"Fifth*\", \"bbox\": [1, 125, 18, 133]}, {\"cell\": \"20.07\", \"bbox\": [48, 125, 68, 133]}, {\"cell\": \"1.52\", \"bbox\": [92, 125, 107, 133]}, {\"cell\": \"30.13\", \"bbox\": [131, 125, 150, 133]}, {\"cell\": \"19.06\", \"bbox\": [163, 125, 183, 133]}, {\"cell\": \"2.60\", \"bbox\": [206, 125, 222, 133]}, {\"cell\": \"26.86\", \"bbox\": [252, 125, 272, 133]}, {\"cell\": \"9.02\", \"bbox\": [293, 125, 309, 133]}, {\"cell\": \"3.70\", \"bbox\": [334, 125, 350, 133]}, {\"cell\": \"25.87\", \"bbox\": [374, 125, 393, 133]}, {\"cell\": \"3.94\", \"bbox\": [408, 125, 424, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [449, 125, 465, 133]}, {\"cell\": \"29.42\", \"bbox\": [489, 125, 508, 133]}, {\"cell\": \"Mean\", \"bbox\": [1, 148, 19, 156]}, {\"cell\": \"10.33\", \"bbox\": [48, 148, 68, 156]}, {\"cell\": \"1.87\", \"bbox\": [92, 148, 107, 156]}, {\"cell\": \"30.38\", \"bbox\": [131, 148, 150, 156]}, {\"cell\": \"9.15\", \"bbox\": [165, 148, 181, 156]}, {\"cell\": \"2.77\", \"bbox\": [206, 148, 222, 156]}, {\"cell\": \"26.80\", \"bbox\": [252, 148, 272, 156]}, {\"cell\": \"4.95\", \"bbox\": [293, 148, 309, 156]}, {\"cell\": \"3.94\", \"bbox\": [334, 148, 350, 156]}, {\"cell\": \"25.76\", \"bbox\": [374, 148, 393, 156]}, {\"cell\": \"2.14\", \"bbox\": [408, 148, 424, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [449, 148, 465, 156]}, {\"cell\": \"28.95\", \"bbox\": [489, 148, 508, 156]}, {\"cell\": \"SD§\", \"bbox\": [1, 158, 15, 168]}, {\"cell\": \"7.18\", \"bbox\": [50, 160, 66, 168]}, {\"cell\": \"0.14\", \"bbox\": [92, 160, 107, 168]}, {\"cell\": \"0.22\", \"bbox\": [133, 160, 148, 168]}, {\"cell\": \"6.77\", \"bbox\": [165, 160, 181, 168]}, {\"cell\": \"0.26\", \"bbox\": [206, 160, 222, 168]}, {\"cell\": \"0.60\", \"bbox\": [254, 160, 270, 168]}, {\"cell\": \"2.94\", \"bbox\": [293, 160, 309, 168]}, {\"cell\": \"0.21\", \"bbox\": [334, 160, 350, 168]}, {\"cell\": \"0.45\", \"bbox\": [376, 160, 391, 168]}, {\"cell\": \"1.54\", \"bbox\": [408, 160, 424, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [449, 160, 465, 168]}, {\"cell\": \"0.42\", \"bbox\": [491, 160, 506, 168]}, {\"cell\": \"CV%†\", \"bbox\": [1, 170, 21, 180]}, {\"cell\": \"69.56\", \"bbox\": [48, 172, 68, 180]}, {\"cell\": \"21.77\", \"bbox\": [90, 172, 109, 180]}, {\"cell\": \"0.72\", \"bbox\": [133, 172, 148, 180]}, {\"cell\": \"74.05\", \"bbox\": [163, 172, 183, 180]}, {\"cell\": \"9.51\", \"bbox\": [206, 172, 222, 180]}, {\"cell\": \"2.24\", \"bbox\": [254, 172, 270, 180]}, {\"cell\": \"59.39\", \"bbox\": [291, 172, 311, 180]}, {\"cell\": \"5.25\", \"bbox\": [334, 172, 350, 180]}, {\"cell\": \"1.73\", \"bbox\": [376, 172, 391, 180]}, {\"cell\": \"72.20\", \"bbox\": [406, 172, 426, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [447, 172, 467, 180]}, {\"cell\": \"1.44\", \"bbox\": [491, 172, 506, 180]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5065974_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
LabelsIntervieweesM ≥15yPPM ≥15y PPF ≥15yPPF ≥15yPPM ≥15ySHM ≥15ySHM ≥15ySHF ≥5y, PPM ≥15ySHM ≥5y, PPM ≥10yPPF ≥5yPPTotal
Knowledge_Skills_Improvement1111111[EMPTY_CELL]1[EMPTY_CELL]1[EMPTY_CELL]10
Experiential_Learning111[EMPTY_CELL][EMPTY_CELL]11111[EMPTY_CELL][EMPTY_CELL]9
Minimal_Lecturing111[EMPTY_CELL]1[EMPTY_CELL][EMPTY_CELL]1[EMPTY_CELL]1[EMPTY_CELL][EMPTY_CELL]7
Problem-based_Learning[EMPTY_CELL][EMPTY_CELL]1111[EMPTY_CELL][EMPTY_CELL]1[EMPTY_CELL]1[EMPTY_CELL]7
Creative_Interaction[EMPTY_CELL]1[EMPTY_CELL]1[EMPTY_CELL][EMPTY_CELL]11[EMPTY_CELL]1[EMPTY_CELL][EMPTY_CELL]6
Critical_Reflection[EMPTY_CELL][EMPTY_CELL]1[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]111[EMPTY_CELL]1[EMPTY_CELL]6
Experience_Sharing[EMPTY_CELL][EMPTY_CELL]11[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]111[EMPTY_CELL]6
Participation_Criteria1[EMPTY_CELL]1111[EMPTY_CELL][EMPTY_CELL]1[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]6
Peer_Learning[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]1[EMPTY_CELL][EMPTY_CELL]11111[EMPTY_CELL]6
Collaborative_Context[EMPTY_CELL]1[EMPTY_CELL]1[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]111[EMPTY_CELL]5
Creative_ Feedback11[EMPTY_CELL][EMPTY_CELL]111[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]5
Friendly_Context[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]11[EMPTY_CELL]11[EMPTY_CELL]1[EMPTY_CELL][EMPTY_CELL]5
Active_Participation1[EMPTY_CELL][EMPTY_CELL]11[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]3
Casual_Atmosphere[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]1[EMPTY_CELL]1[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]1[EMPTY_CELL][EMPTY_CELL]3
Family_Friendly1[EMPTY_CELL]1[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]3
Fruitful_Discussion111[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]3
Knowledge_Sharing[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]111[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]3
Practice_Improvement[EMPTY_CELL]1[EMPTY_CELL][EMPTY_CELL]1[EMPTY_CELL][EMPTY_CELL]1[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]3
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MESA[EMPTY_CELL]0.26
Pooled[EMPTY_CELL]1.5×10−14
\", \"cells\": [{\"cell\": \"Association of GRS with T2D prevalence at enrollment\", \"bbox\": [30, 4, 208, 15]}, {\"cell\": \"Study\", \"bbox\": [7, 19, 27, 30]}, {\"cell\": \"OR (95% CI, tertile 3 vs. tertile 1; P-value)\", \"bbox\": [46, 19, 185, 30]}, {\"cell\": \"P for trend\", \"bbox\": [194, 19, 232, 30]}, {\"cell\": \" ARIC\", \"bbox\": [14, 34, 34, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 34, 131, 45]}, {\"cell\": \"<0.0001\", \"bbox\": [194, 34, 221, 45]}, {\"cell\": \" FOS\", \"bbox\": [14, 49, 30, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 49, 53, 60]}, {\"cell\": \"--\", \"bbox\": [194, 49, 201, 60]}, {\"cell\": \" MESA\", \"bbox\": [14, 64, 37, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 64, 131, 75]}, {\"cell\": \"<0.0001\", \"bbox\": [194, 64, 221, 75]}, {\"cell\": \"Pooled\", \"bbox\": [7, 79, 29, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 79, 131, 90]}, {\"cell\": \"1.5×10−10\", \"bbox\": [194, 79, 226, 90]}, {\"cell\": \"Association of GRS with T2D prevalence at the end of follow-up\", \"bbox\": [7, 95, 204, 105]}, {\"cell\": \"Study\", \"bbox\": [7, 110, 26, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 110, 177, 120]}, {\"cell\": \"P for trend\", \"bbox\": [194, 110, 228, 120]}, {\"cell\": \" ARIC\", \"bbox\": [14, 125, 34, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 125, 131, 135]}, {\"cell\": \"<0.0001\", \"bbox\": [194, 125, 221, 135]}, {\"cell\": \" FOS\", \"bbox\": [14, 140, 30, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 140, 131, 150]}, {\"cell\": \"<0.0001\", \"bbox\": [194, 140, 221, 150]}, {\"cell\": \" MESA\", \"bbox\": [14, 155, 37, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 155, 131, 165]}, {\"cell\": \"<0.0001\", \"bbox\": [194, 155, 221, 165]}, {\"cell\": \"Pooled\", \"bbox\": [7, 170, 29, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 170, 131, 180]}, {\"cell\": \"4.9×10−12\", \"bbox\": [194, 170, 226, 181]}, {\"cell\": \"Association of GRS with incident T2D\", \"bbox\": [7, 186, 125, 196]}, {\"cell\": \"Study\", \"bbox\": [7, 201, 26, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 201, 177, 211]}, {\"cell\": \"P for trend\", \"bbox\": [194, 201, 228, 211]}, {\"cell\": \" ARIC\", \"bbox\": [14, 216, 34, 226]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 216, 131, 226]}, {\"cell\": \"0.0008\", \"bbox\": [194, 216, 217, 226]}, {\"cell\": \" FOS\", \"bbox\": [14, 231, 30, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 231, 131, 241]}, {\"cell\": \"<0.0001\", \"bbox\": [194, 231, 221, 241]}, {\"cell\": \" MESA\", \"bbox\": [14, 246, 37, 256]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [53, 246, 131, 256]}, {\"cell\": \"0.26\", \"bbox\": [194, 246, 209, 256]}, {\"cell\": \"Pooled\", \"bbox\": [7, 261, 29, 271]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [53, 261, 131, 271]}, {\"cell\": \"1.5×10−14\", \"bbox\": [194, 261, 226, 272]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3956676_014_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
AnalytePAHAbbreviationMeasuring range (ng/L)LOD (ng/L)LOQ (ng/L)
0.02–5600.0250.075
[EMPTY_CELL]NaphthaleneNAP0.034–5600.0341,02
[EMPTY_CELL]AcenaphthyleneACY0.0041–5600.00410.0123
[EMPTY_CELL]AcenaphtheneACE0.0041–5600.00410.0123
[EMPTY_CELL]FluoreneFLU0.0018–5600.00180.0054
[EMPTY_CELL]PhenanthrenePHE0.0025–5600.00250.0075
[EMPTY_CELL]AnthraceneANT0.0078–5600.00780.0234
[EMPTY_CELL]FluorantheneFLTH0.014–5600.0140.042
[EMPTY_CELL]PyrenePYR0.028–5600.0280.084
[EMPTY_CELL]ChryseneCHR0.0022–5600.00220.0066
[EMPTY_CELL]Benzo(b)fluorantheneBbF0.014–5600.0140.042
[EMPTY_CELL]Benzo(k)fluorantheneBkF0.0023–5600.00230.0069
[EMPTY_CELL]Benzo(a)pyreneBaP0.0055–5600.00550.0165
[EMPTY_CELL]Benzo(a)anthraceneBaA0.0017–5600.00170.0051
[EMPTY_CELL]Indeno(1,2,3-cd)pyreneIP0.43–5600.431.29
[EMPTY_CELL]Dibenz(a,h)anthraceneDahA0.014–5600.0140.042
[EMPTY_CELL]Benzo(ghi)peryleneB(ghi)PER0.014–5600.0220.066
\", \"cells\": [{\"cell\": \"Analyte\", \"bbox\": [7, 21, 46, 33]}, {\"cell\": \"PAH\", \"bbox\": [102, 21, 127, 33]}, {\"cell\": \"Abbreviation\", \"bbox\": [180, 21, 244, 33]}, {\"cell\": \"Measuring range (ng/L)\", \"bbox\": [260, 6, 342, 32]}, {\"cell\": \"LOD (ng/L)\", \"bbox\": [350, 6, 381, 32]}, {\"cell\": \"LOQ (ng/L)\", \"bbox\": [390, 6, 421, 32]}, {\"cell\": \"0.02–560\", \"bbox\": [280, 36, 323, 48]}, {\"cell\": \"0.025\", \"bbox\": [352, 36, 379, 48]}, {\"cell\": \"0.075\", \"bbox\": [392, 36, 419, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 53, 12, 65]}, {\"cell\": \"Naphthalene\", \"bbox\": [54, 53, 111, 65]}, {\"cell\": \"NAP\", \"bbox\": [205, 53, 229, 65]}, {\"cell\": \"0.034–560\", \"bbox\": [277, 53, 326, 65]}, {\"cell\": \"0.034\", \"bbox\": [352, 53, 379, 65]}, {\"cell\": \"1,02\", \"bbox\": [395, 53, 416, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 68, 12, 80]}, {\"cell\": \"Acenaphthylene\", \"bbox\": [54, 68, 127, 80]}, {\"cell\": \"ACY\", \"bbox\": [204, 68, 230, 80]}, {\"cell\": \"0.0041–560\", \"bbox\": [274, 68, 328, 80]}, {\"cell\": \"0.0041\", \"bbox\": [349, 68, 382, 80]}, {\"cell\": \"0.0123\", \"bbox\": [389, 68, 422, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 83, 12, 95]}, {\"cell\": \"Acenaphthene\", \"bbox\": [54, 83, 119, 95]}, {\"cell\": \"ACE\", \"bbox\": [205, 83, 229, 95]}, {\"cell\": \"0.0041–560\", \"bbox\": [274, 83, 328, 95]}, {\"cell\": \"0.0041\", \"bbox\": [349, 83, 382, 95]}, {\"cell\": \"0.0123\", \"bbox\": [389, 83, 422, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 98, 12, 110]}, {\"cell\": \"Fluorene\", \"bbox\": [54, 98, 95, 110]}, {\"cell\": \"FLU\", \"bbox\": [206, 98, 228, 110]}, {\"cell\": \"0.0018–560\", \"bbox\": [274, 98, 328, 110]}, {\"cell\": \"0.0018\", \"bbox\": [349, 98, 382, 110]}, {\"cell\": \"0.0054\", \"bbox\": [389, 98, 422, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 113, 12, 125]}, {\"cell\": \"Phenanthrene\", \"bbox\": [54, 113, 116, 125]}, {\"cell\": \"PHE\", \"bbox\": [206, 113, 228, 125]}, {\"cell\": \"0.0025–560\", \"bbox\": [274, 113, 328, 125]}, {\"cell\": \"0.0025\", \"bbox\": [349, 113, 382, 125]}, {\"cell\": \"0.0075\", \"bbox\": [389, 113, 422, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 128, 12, 140]}, {\"cell\": \"Anthracene\", \"bbox\": [54, 128, 106, 140]}, {\"cell\": \"ANT\", \"bbox\": [205, 128, 229, 140]}, {\"cell\": \"0.0078–560\", \"bbox\": [274, 128, 328, 140]}, {\"cell\": \"0.0078\", \"bbox\": [349, 128, 382, 140]}, {\"cell\": \"0.0234\", \"bbox\": [389, 128, 422, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 143, 12, 155]}, {\"cell\": \"Fluoranthene\", \"bbox\": [54, 143, 114, 155]}, {\"cell\": \"FLTH\", \"bbox\": [202, 143, 232, 155]}, {\"cell\": \"0.014–560\", \"bbox\": [277, 143, 326, 155]}, {\"cell\": \"0.014\", \"bbox\": [352, 143, 379, 155]}, {\"cell\": \"0.042\", \"bbox\": [392, 143, 419, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 158, 12, 170]}, {\"cell\": \"Pyrene\", \"bbox\": [54, 158, 86, 170]}, {\"cell\": \"PYR\", \"bbox\": [205, 158, 229, 170]}, {\"cell\": \"0.028–560\", \"bbox\": [277, 158, 326, 170]}, {\"cell\": \"0.028\", \"bbox\": [352, 158, 379, 170]}, {\"cell\": \"0.084\", \"bbox\": [392, 158, 419, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 173, 12, 185]}, {\"cell\": \"Chrysene\", \"bbox\": [54, 173, 97, 185]}, {\"cell\": \"CHR\", \"bbox\": [205, 173, 229, 185]}, {\"cell\": \"0.0022–560\", \"bbox\": [274, 173, 328, 185]}, {\"cell\": \"0.0022\", \"bbox\": [349, 173, 382, 185]}, {\"cell\": \"0.0066\", \"bbox\": [389, 173, 422, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 188, 17, 200]}, {\"cell\": \"Benzo(b)fluoranthene\", \"bbox\": [54, 188, 152, 200]}, {\"cell\": \"BbF\", \"bbox\": [206, 188, 227, 200]}, {\"cell\": \"0.014–560\", \"bbox\": [277, 188, 326, 200]}, {\"cell\": \"0.014\", \"bbox\": [352, 188, 379, 200]}, {\"cell\": \"0.042\", \"bbox\": [392, 188, 419, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 203, 17, 215]}, {\"cell\": \"Benzo(k)fluoranthene\", \"bbox\": [54, 203, 152, 215]}, {\"cell\": \"BkF\", \"bbox\": [206, 203, 227, 215]}, {\"cell\": \"0.0023–560\", \"bbox\": [274, 203, 328, 215]}, {\"cell\": \"0.0023\", \"bbox\": [349, 203, 382, 215]}, {\"cell\": \"0.0069\", \"bbox\": [389, 203, 422, 215]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 218, 17, 230]}, {\"cell\": \"Benzo(a)pyrene\", \"bbox\": [54, 218, 126, 230]}, {\"cell\": \"BaP\", \"bbox\": [207, 218, 227, 230]}, {\"cell\": \"0.0055–560\", \"bbox\": [274, 218, 328, 230]}, {\"cell\": \"0.0055\", \"bbox\": [349, 218, 382, 230]}, {\"cell\": \"0.0165\", \"bbox\": [389, 218, 422, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 233, 17, 245]}, {\"cell\": \"Benzo(a)anthracene\", \"bbox\": [54, 233, 144, 245]}, {\"cell\": \"BaA\", \"bbox\": [206, 233, 228, 245]}, {\"cell\": \"0.0017–560\", \"bbox\": [274, 233, 328, 245]}, {\"cell\": \"0.0017\", \"bbox\": [349, 233, 382, 245]}, {\"cell\": \"0.0051\", \"bbox\": [389, 233, 422, 245]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 248, 17, 260]}, {\"cell\": \"Indeno(1,2,3-cd)pyrene\", \"bbox\": [56, 248, 162, 260]}, {\"cell\": \"IP\", \"bbox\": [211, 248, 223, 260]}, {\"cell\": \"0.43–560\", \"bbox\": [280, 248, 323, 260]}, {\"cell\": \"0.43\", \"bbox\": [355, 248, 376, 260]}, {\"cell\": \"1.29\", \"bbox\": [395, 248, 416, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 263, 17, 275]}, {\"cell\": \"Dibenz(a,h)anthracene\", \"bbox\": [54, 263, 156, 275]}, {\"cell\": \"DahA\", \"bbox\": [203, 263, 231, 275]}, {\"cell\": \"0.014–560\", \"bbox\": [277, 263, 326, 275]}, {\"cell\": \"0.014\", \"bbox\": [352, 263, 379, 275]}, {\"cell\": \"0.042\", \"bbox\": [392, 263, 419, 275]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 278, 17, 290]}, {\"cell\": \"Benzo(ghi)perylene\", \"bbox\": [54, 278, 143, 290]}, {\"cell\": \"B(ghi)PER\", \"bbox\": [192, 278, 242, 290]}, {\"cell\": \"0.014–560\", \"bbox\": [277, 278, 326, 290]}, {\"cell\": \"0.022\", \"bbox\": [352, 278, 379, 290]}, {\"cell\": \"0.066\", \"bbox\": [392, 278, 419, 290]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3252016_005_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Age <41n (%)Age 41 to 50n (%)Age 51 to 60n (%)Age >60n (%)Totaln (%)
Participants who indicated age489 (26.8)493 (27.0)449 (24.6)395 (21.6)[EMPTY_CELL]
Gender (n = 1826)a
Female114 (23.3)71 (14.4)56 (12.5)9 (2.3)[EMPTY_CELL]
Male375 (76.7)422 (85.6)393 (87.5)386 (97.7)[EMPTY_CELL]
Tenure (n = 1826)a
< 6 years165 (33.7)17 (3.5)8 (1.8)1 (0.3)[EMPTY_CELL]
6–10 years206 (42.1)94 (19.1)15 (3.3)4 (1.0)[EMPTY_CELL]
11–15 years100 (20.5)140 (28.4)56 (12.5)12 (3.0)[EMPTY_CELL]
16–20 years18 (3.7)168 (34.1)85 (18.9)30 (7.6)[EMPTY_CELL]
21–25 years0 (0.0)68 (13.8)110 (24.5)43 (10.9)[EMPTY_CELL]
> 25 years0 (0.0)6 (1.2)175 (39.0)305 (77.2)[EMPTY_CELL]
Recently Workedb (n = 1826)a
No20 (4.1)31 (6.3)53 (11.8)308 (78.0)[EMPTY_CELL]
Yes469 (95.9)462 (93.7)396 (88.2)87 (22.0)[EMPTY_CELL]
Education (n = 1817)a
Less than high school diploma2 (0.4)1 (0.2)3 (0.7)2 (0.5)[EMPTY_CELL]
High school or GED60 (12.4)72 (14.7)49 (10.9)38 (9.6)[EMPTY_CELL]
Some college, no degree85 (17.6)82 (16.7)53 (11.8)81 (20.5)[EMPTY_CELL]
Two-year college degree62 (12.8)47 (9.6)27 (6.0)26 (6.6)[EMPTY_CELL]
Four-year college degree217 (44.9)221 (45.0)226 (50.5)148 (37.5)[EMPTY_CELL]
Graduate education57 (11.8)68 (13.9)90 (20.1)100 (25.3)[EMPTY_CELL]
Marital Status (n = 1817)a
Married274 (56.7)395 (80.5)356 (79.5)325 (82.3)[EMPTY_CELL]
Widowed1 (0.2)0 (0.0)3 (0.7)14 (3.5)[EMPTY_CELL]
Divorced11 (2.3)35 (7.1)42 (9.4)29 (7.3)[EMPTY_CELL]
Separated4 (0.8)12 (2.4)4 (0.9)8 (2.0)[EMPTY_CELL]
Never Married106 (22.0)23 (4.7)20 (4.5)8 (2.0)[EMPTY_CELL]
Living with partner87 (18.0)26 (5.3)23 (5.1)11 (2.8)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Age <41n (%)\", \"bbox\": [145, 4, 175, 22]}, {\"cell\": \"Age 41 to 50n (%)\", \"bbox\": [214, 4, 258, 22]}, {\"cell\": \"Age 51 to 60n (%)\", \"bbox\": [294, 4, 338, 22]}, {\"cell\": \"Age >60n (%)\", \"bbox\": [374, 4, 404, 22]}, {\"cell\": \"Totaln (%)\", \"bbox\": [443, 4, 462, 22]}, {\"cell\": \"Participants who indicated age\", \"bbox\": [1, 26, 102, 36]}, {\"cell\": \"489 (26.8)\", \"bbox\": [145, 26, 178, 36]}, {\"cell\": \"493 (27.0)\", \"bbox\": [214, 26, 247, 36]}, {\"cell\": \"449 (24.6)\", \"bbox\": [294, 26, 327, 36]}, {\"cell\": \"395 (21.6)\", \"bbox\": [374, 26, 407, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 26, 484, 36]}, {\"cell\": \"Gender (n = 1826)a\", \"bbox\": [1, 38, 62, 50]}, {\"cell\": \" Female\", \"bbox\": [9, 54, 34, 64]}, {\"cell\": \"114 (23.3)\", \"bbox\": [145, 54, 178, 64]}, {\"cell\": \"71 (14.4)\", \"bbox\": [214, 54, 243, 64]}, {\"cell\": \"56 (12.5)\", \"bbox\": [294, 54, 323, 64]}, {\"cell\": \"9 (2.3)\", \"bbox\": [374, 54, 396, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 54, 476, 64]}, {\"cell\": \" Male\", \"bbox\": [9, 68, 26, 78]}, {\"cell\": \"375 (76.7)\", \"bbox\": [145, 68, 178, 78]}, {\"cell\": \"422 (85.6)\", \"bbox\": [214, 68, 247, 78]}, {\"cell\": \"393 (87.5)\", \"bbox\": [294, 68, 327, 78]}, {\"cell\": \"386 (97.7)\", \"bbox\": [374, 68, 407, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 68, 480, 78]}, {\"cell\": \"Tenure (n = 1826)a\", \"bbox\": [1, 80, 61, 92]}, {\"cell\": \"< 6 years\", \"bbox\": [10, 96, 41, 106]}, {\"cell\": \"165 (33.7)\", \"bbox\": [145, 96, 178, 106]}, {\"cell\": \"17 (3.5)\", \"bbox\": [214, 96, 240, 106]}, {\"cell\": \"8 (1.8)\", \"bbox\": [294, 96, 316, 106]}, {\"cell\": \"1 (0.3)\", \"bbox\": [374, 96, 396, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 96, 476, 106]}, {\"cell\": \" 6–10 years\", \"bbox\": [9, 110, 45, 120]}, {\"cell\": \"206 (42.1)\", \"bbox\": [145, 110, 178, 120]}, {\"cell\": \"94 (19.1)\", \"bbox\": [214, 110, 243, 120]}, {\"cell\": \"15 (3.3)\", \"bbox\": [294, 110, 320, 120]}, {\"cell\": \"4 (1.0)\", \"bbox\": [374, 110, 396, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 110, 476, 120]}, {\"cell\": \" 11–15 years\", \"bbox\": [9, 124, 48, 134]}, {\"cell\": \"100 (20.5)\", \"bbox\": [145, 124, 178, 134]}, {\"cell\": \"140 (28.4)\", \"bbox\": [214, 124, 247, 134]}, {\"cell\": \"56 (12.5)\", \"bbox\": [294, 124, 323, 134]}, {\"cell\": \"12 (3.0)\", \"bbox\": [374, 124, 400, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 124, 476, 134]}, {\"cell\": \" 16–20 years\", \"bbox\": [9, 138, 48, 148]}, {\"cell\": \"18 (3.7)\", \"bbox\": [145, 138, 171, 148]}, {\"cell\": \"168 (34.1)\", \"bbox\": [214, 138, 247, 148]}, {\"cell\": \"85 (18.9)\", \"bbox\": [294, 138, 323, 148]}, {\"cell\": \"30 (7.6)\", \"bbox\": [374, 138, 400, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 138, 476, 148]}, {\"cell\": \" 21–25 years\", \"bbox\": [9, 152, 48, 162]}, {\"cell\": \"0 (0.0)\", \"bbox\": [145, 152, 167, 162]}, {\"cell\": \"68 (13.8)\", \"bbox\": [214, 152, 243, 162]}, {\"cell\": \"110 (24.5)\", \"bbox\": [294, 152, 327, 162]}, {\"cell\": \"43 (10.9)\", \"bbox\": [374, 152, 403, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 152, 476, 162]}, {\"cell\": \"> 25 years\", \"bbox\": [10, 166, 45, 176]}, {\"cell\": \"0 (0.0)\", \"bbox\": [145, 166, 167, 176]}, {\"cell\": \"6 (1.2)\", \"bbox\": [214, 166, 236, 176]}, {\"cell\": \"175 (39.0)\", \"bbox\": [294, 166, 327, 176]}, {\"cell\": \"305 (77.2)\", \"bbox\": [374, 166, 407, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 166, 476, 176]}, {\"cell\": \"Recently Workedb (n = 1826)a\", \"bbox\": [1, 178, 96, 190]}, {\"cell\": \" No\", \"bbox\": [9, 194, 20, 204]}, {\"cell\": \"20 (4.1)\", \"bbox\": [145, 194, 171, 204]}, {\"cell\": \"31 (6.3)\", \"bbox\": [214, 194, 240, 204]}, {\"cell\": \"53 (11.8)\", \"bbox\": [294, 194, 323, 204]}, {\"cell\": \"308 (78.0)\", \"bbox\": [374, 194, 407, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 194, 476, 204]}, {\"cell\": \" Yes\", \"bbox\": [9, 208, 21, 218]}, {\"cell\": \"469 (95.9)\", \"bbox\": [145, 208, 178, 218]}, {\"cell\": \"462 (93.7)\", \"bbox\": [214, 208, 247, 218]}, {\"cell\": \"396 (88.2)\", \"bbox\": [294, 208, 327, 218]}, {\"cell\": \"87 (22.0)\", \"bbox\": [374, 208, 403, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 208, 480, 218]}, {\"cell\": \"Education (n = 1817)a\", \"bbox\": [1, 220, 71, 232]}, {\"cell\": \" Less than high school diploma\", \"bbox\": [9, 236, 109, 246]}, {\"cell\": \"2 (0.4)\", \"bbox\": [145, 236, 167, 246]}, {\"cell\": \"1 (0.2)\", \"bbox\": [214, 236, 236, 246]}, {\"cell\": \"3 (0.7)\", \"bbox\": [294, 236, 316, 246]}, {\"cell\": \"2 (0.5)\", \"bbox\": [374, 236, 396, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 236, 465, 246]}, {\"cell\": \" High school or GED\", \"bbox\": [9, 250, 74, 260]}, {\"cell\": \"60 (12.4)\", \"bbox\": [145, 250, 174, 260]}, {\"cell\": \"72 (14.7)\", \"bbox\": [214, 250, 243, 260]}, {\"cell\": \"49 (10.9)\", \"bbox\": [294, 250, 323, 260]}, {\"cell\": \"38 (9.6)\", \"bbox\": [374, 250, 400, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 250, 476, 260]}, {\"cell\": \" Some college, no degree\", \"bbox\": [9, 264, 91, 274]}, {\"cell\": \"85 (17.6)\", \"bbox\": [145, 264, 174, 274]}, {\"cell\": \"82 (16.7)\", \"bbox\": [214, 264, 243, 274]}, {\"cell\": \"53 (11.8)\", \"bbox\": [294, 264, 323, 274]}, {\"cell\": \"81 (20.5)\", \"bbox\": [374, 264, 403, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 264, 476, 274]}, {\"cell\": \" Two-year college degree\", \"bbox\": [9, 278, 90, 288]}, {\"cell\": \"62 (12.8)\", \"bbox\": [145, 278, 174, 288]}, {\"cell\": \"47 (9.6)\", \"bbox\": [214, 278, 239, 288]}, {\"cell\": \"27 (6.0)\", \"bbox\": [294, 278, 319, 288]}, {\"cell\": \"26 (6.6)\", \"bbox\": [374, 278, 400, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 278, 472, 288]}, {\"cell\": \" Four-year college degree\", \"bbox\": [8, 292, 91, 302]}, {\"cell\": \"217 (44.9)\", \"bbox\": [145, 292, 178, 302]}, {\"cell\": \"221 (45.0)\", \"bbox\": [214, 292, 247, 302]}, {\"cell\": \"226 (50.5)\", \"bbox\": [294, 292, 327, 302]}, {\"cell\": \"148 (37.5)\", \"bbox\": [374, 292, 407, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 292, 476, 302]}, {\"cell\": \" Graduate education\", \"bbox\": [8, 306, 74, 316]}, {\"cell\": \"57 (11.8)\", \"bbox\": [145, 306, 174, 316]}, {\"cell\": \"68 (13.9)\", \"bbox\": [214, 306, 243, 316]}, {\"cell\": \"90 (20.1)\", \"bbox\": [294, 306, 323, 316]}, {\"cell\": \"100 (25.3)\", \"bbox\": [374, 306, 407, 316]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 306, 476, 316]}, {\"cell\": \"Marital Status (n = 1817)a\", \"bbox\": [0, 318, 82, 330]}, {\"cell\": \" Married\", \"bbox\": [9, 334, 35, 344]}, {\"cell\": \"274 (56.7)\", \"bbox\": [145, 334, 178, 344]}, {\"cell\": \"395 (80.5)\", \"bbox\": [214, 334, 247, 344]}, {\"cell\": \"356 (79.5)\", \"bbox\": [294, 334, 327, 344]}, {\"cell\": \"325 (82.3)\", \"bbox\": [374, 334, 407, 344]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 334, 480, 344]}, {\"cell\": \" Widowed\", \"bbox\": [9, 348, 41, 358]}, {\"cell\": \"1 (0.2)\", \"bbox\": [145, 348, 167, 358]}, {\"cell\": \"0 (0.0)\", \"bbox\": [214, 348, 236, 358]}, {\"cell\": \"3 (0.7)\", \"bbox\": [294, 348, 316, 358]}, {\"cell\": \"14 (3.5)\", \"bbox\": [374, 348, 400, 358]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 348, 469, 358]}, {\"cell\": \" Divorced\", \"bbox\": [9, 362, 39, 372]}, {\"cell\": \"11 (2.3)\", \"bbox\": [145, 362, 171, 372]}, {\"cell\": \"35 (7.1)\", \"bbox\": [214, 362, 240, 372]}, {\"cell\": \"42 (9.4)\", \"bbox\": [294, 362, 320, 372]}, {\"cell\": \"29 (7.3)\", \"bbox\": [374, 362, 400, 372]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 362, 472, 372]}, {\"cell\": \" Separated\", \"bbox\": [9, 376, 42, 386]}, {\"cell\": \"4 (0.8)\", \"bbox\": [145, 376, 167, 386]}, {\"cell\": \"12 (2.4)\", \"bbox\": [214, 376, 240, 386]}, {\"cell\": \"4 (0.9)\", \"bbox\": [294, 376, 316, 386]}, {\"cell\": \"8 (2.0)\", \"bbox\": [374, 376, 396, 386]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 376, 468, 386]}, {\"cell\": \" Never Married\", \"bbox\": [9, 390, 56, 400]}, {\"cell\": \"106 (22.0)\", \"bbox\": [145, 390, 178, 400]}, {\"cell\": \"23 (4.7)\", \"bbox\": [214, 390, 239, 400]}, {\"cell\": \"20 (4.5)\", \"bbox\": [294, 390, 319, 400]}, {\"cell\": \"8 (2.0)\", \"bbox\": [374, 390, 396, 400]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 390, 472, 400]}, {\"cell\": \" Living with partner\", \"bbox\": [9, 404, 71, 414]}, {\"cell\": \"87 (18.0)\", \"bbox\": [145, 404, 174, 414]}, {\"cell\": \"26 (5.3)\", \"bbox\": [214, 404, 239, 414]}, {\"cell\": \"23 (5.1)\", \"bbox\": [294, 404, 319, 414]}, {\"cell\": \"11 (2.8)\", \"bbox\": [374, 404, 400, 414]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 404, 472, 414]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5157081_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
GenotypesCase (%)Control (%)Crude OR (95% CI)PAdjusted OR (95% CI)aPa
rs13281615[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
AA86 (23.06)279 (26.98)1.00[EMPTY_CELL]1.00[EMPTY_CELL]
AG192 (51.47)503 (48.65)1.24 (0.92–1.66)[EMPTY_CELL]1.25 (0.92–1.71)0.159
GG95 (25.47)252 (24.37)1.22 (0.87–1.71)[EMPTY_CELL]1.17 (0.81–1.67)0.400
Dominant model[EMPTY_CELL][EMPTY_CELL]1.23 (0.94–1.63)[EMPTY_CELL]1.22 (0.91–1.64)0.181
Recessive model[EMPTY_CELL][EMPTY_CELL]1.06 (0.81–1.39)[EMPTY_CELL]1.01 (0.75–1.35)0.967
Additive model[EMPTY_CELL][EMPTY_CELL]1.10 (0.94–1.31)[EMPTY_CELL]1.08 (0.90–1.29)0.397
rs6983267[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
TT128 (33.95)394 (38.10)1.00[EMPTY_CELL]1.00[EMPTY_CELL]
GT183 (48.54)510 (49.32)1.11 (0.85–1.43)[EMPTY_CELL]1.07 (0.81–1.41)0.631
GG66 (17.51)130 (12.57)1.56 (1.09–2.23)[EMPTY_CELL]1.57 (1.06–2.32)0.023
Dominant model[EMPTY_CELL][EMPTY_CELL]1.20 (0.94–1.53)[EMPTY_CELL]1.16 (0.89–1.52)0.260
Recessive model[EMPTY_CELL][EMPTY_CELL]1.48 (1.07–2.04)[EMPTY_CELL]1.51 (1.06–2.15)0.023
Additive model[EMPTY_CELL][EMPTY_CELL]1.22 (1.03–1.45)[EMPTY_CELL]1.21 (1.01–1.43)0.048
\", \"cells\": [{\"cell\": \"Genotypes\", \"bbox\": [30, 10, 68, 19]}, {\"cell\": \"Case (%)\", \"bbox\": [112, 10, 145, 19]}, {\"cell\": \"Control (%)\", \"bbox\": [167, 10, 211, 19]}, {\"cell\": \"Crude OR (95% CI)\", \"bbox\": [222, 10, 294, 19]}, {\"cell\": \"P\", \"bbox\": [321, 10, 328, 17]}, {\"cell\": \"Adjusted OR (95% CI)a\", \"bbox\": [358, 5, 426, 24]}, {\"cell\": \"Pa\", \"bbox\": [455, 9, 466, 17]}, {\"cell\": \"rs13281615\", \"bbox\": [5, 29, 44, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"AA\", \"bbox\": [5, 44, 18, 53]}, {\"cell\": \"86 (23.06)\", \"bbox\": [110, 44, 147, 53]}, {\"cell\": \"279 (26.98)\", \"bbox\": [169, 44, 208, 53]}, {\"cell\": \"1.00\", \"bbox\": [250, 44, 266, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.00\", \"bbox\": [384, 44, 400, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"AG\", \"bbox\": [5, 59, 18, 68]}, {\"cell\": \"192 (51.47)\", \"bbox\": [108, 59, 149, 68]}, {\"cell\": \"503 (48.65)\", \"bbox\": [169, 59, 208, 68]}, {\"cell\": \"1.24 (0.92–1.66)\", \"bbox\": [230, 59, 286, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [314, 59, 334, 68]}, {\"cell\": \"1.25 (0.92–1.71)\", \"bbox\": [364, 59, 419, 68]}, {\"cell\": \"0.159\", \"bbox\": [450, 59, 470, 68]}, {\"cell\": \"GG\", \"bbox\": [5, 74, 18, 83]}, {\"cell\": \"95 (25.47)\", \"bbox\": [111, 74, 146, 83]}, {\"cell\": \"252 (24.37)\", \"bbox\": [169, 74, 208, 83]}, {\"cell\": \"1.22 (0.87–1.71)\", \"bbox\": [230, 74, 286, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [314, 74, 334, 83]}, {\"cell\": \"1.17 (0.81–1.67)\", \"bbox\": [364, 74, 419, 83]}, {\"cell\": \"0.400\", \"bbox\": [450, 74, 470, 83]}, {\"cell\": \"Dominant model\", \"bbox\": [5, 89, 61, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.23 (0.94–1.63)\", \"bbox\": [230, 89, 286, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [314, 89, 334, 98]}, {\"cell\": \"1.22 (0.91–1.64)\", \"bbox\": [364, 89, 419, 98]}, {\"cell\": \"0.181\", \"bbox\": [451, 89, 471, 98]}, {\"cell\": \"Recessive model\", \"bbox\": [5, 104, 60, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.06 (0.81–1.39)\", \"bbox\": [230, 104, 286, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [314, 104, 334, 113]}, {\"cell\": \"1.01 (0.75–1.35)\", \"bbox\": [364, 104, 419, 113]}, {\"cell\": \"0.967\", \"bbox\": [451, 104, 471, 113]}, {\"cell\": \"Additive model\", \"bbox\": [5, 119, 57, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.10 (0.94–1.31)\", \"bbox\": [230, 119, 286, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [314, 119, 334, 128]}, {\"cell\": \"1.08 (0.90–1.29)\", \"bbox\": [364, 119, 419, 128]}, {\"cell\": \"0.397\", \"bbox\": [451, 119, 471, 128]}, {\"cell\": \"rs6983267\", \"bbox\": [5, 134, 40, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TT\", \"bbox\": [5, 149, 16, 159]}, {\"cell\": \"128 (33.95)\", \"bbox\": [109, 149, 148, 159]}, {\"cell\": \"394 (38.10)\", \"bbox\": [169, 149, 208, 159]}, {\"cell\": \"1.00\", \"bbox\": [250, 149, 266, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.00\", \"bbox\": [384, 149, 400, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"GT\", \"bbox\": [5, 164, 17, 174]}, {\"cell\": \"183 (48.54)\", \"bbox\": [109, 164, 148, 174]}, {\"cell\": \"510 (49.32)\", \"bbox\": [169, 164, 208, 174]}, {\"cell\": \"1.11 (0.85–1.43)\", \"bbox\": [230, 164, 286, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [314, 164, 334, 174]}, {\"cell\": \"1.07 (0.81–1.41)\", \"bbox\": [364, 164, 419, 174]}, {\"cell\": \"0.631\", \"bbox\": [451, 164, 471, 174]}, {\"cell\": \"GG\", \"bbox\": [5, 179, 18, 189]}, {\"cell\": \"66 (17.51)\", \"bbox\": [111, 179, 146, 189]}, {\"cell\": \"130 (12.57)\", \"bbox\": [169, 179, 208, 189]}, {\"cell\": \"1.56 (1.09–2.23)\", \"bbox\": [230, 179, 286, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [314, 179, 334, 189]}, {\"cell\": \"1.57 (1.06–2.32)\", \"bbox\": [364, 179, 419, 189]}, {\"cell\": \"0.023\", \"bbox\": [450, 179, 470, 189]}, {\"cell\": \"Dominant model\", \"bbox\": [5, 194, 61, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.20 (0.94–1.53)\", \"bbox\": [230, 194, 286, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [314, 194, 334, 204]}, {\"cell\": \"1.16 (0.89–1.52)\", \"bbox\": [364, 194, 419, 204]}, {\"cell\": \"0.260\", \"bbox\": [451, 194, 471, 204]}, {\"cell\": \"Recessive model\", \"bbox\": [5, 209, 60, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.48 (1.07–2.04)\", \"bbox\": [230, 209, 286, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [314, 209, 334, 219]}, {\"cell\": \"1.51 (1.06–2.15)\", \"bbox\": [364, 209, 419, 219]}, {\"cell\": \"0.023\", \"bbox\": [451, 209, 471, 219]}, {\"cell\": \"Additive model\", \"bbox\": [5, 225, 57, 234]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.22 (1.03–1.45)\", \"bbox\": [230, 225, 286, 234]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [314, 225, 334, 234]}, {\"cell\": \"1.21 (1.01–1.43)\", \"bbox\": [364, 225, 419, 234]}, {\"cell\": \"0.048\", \"bbox\": [451, 225, 471, 234]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5482668_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Haplotypesa(SSCP Conformation)UnitsZero CopiesOne Copyp-ValueTwo copiesp-Value
No mutations(T)Controls/cases17/1648/360.73[EMPTY_CELL]1.0
[EMPTY_CELL]OR (95% CI)1.00 (ref)0.80 (0.36 – 1.79)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[-786T>C; -714G>T; -690C>T](C)Controls/cases42/3644/370.92[EMPTY_CELL]0.81
[EMPTY_CELL]OR (95% CI)1.00 (ref)0.98 (0.52–1.83)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[-786T>C; -764A>G; -690C>T](A)Controls/cases72/7122/110.13[EMPTY_CELL]--
[EMPTY_CELL]OR (95% CI)1.00 (ref)0.51 (0.23 – 1.12)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[-786T>C; -690A>G; -649G>A]b(N)Controls/cases94/820/1--[EMPTY_CELL]--
[EMPTY_CELL]OR (95% CI)1.00 (ref)--[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Haplotypesa(SSCP Conformation)\", \"bbox\": [25, 4, 112, 23]}, {\"cell\": \"Units\", \"bbox\": [158, 5, 181, 14]}, {\"cell\": \"Zero Copies\", \"bbox\": [210, 5, 259, 14]}, {\"cell\": \"One Copy\", \"bbox\": [284, 5, 325, 14]}, {\"cell\": \"p-Value\", \"bbox\": [348, 5, 378, 14]}, {\"cell\": \"Two copies\", \"bbox\": [399, 5, 444, 14]}, {\"cell\": \"p-Value\", \"bbox\": [465, 5, 495, 14]}, {\"cell\": \"No mutations(T)\", \"bbox\": [45, 36, 93, 55]}, {\"cell\": \"Controls/cases\", \"bbox\": [144, 36, 195, 46]}, {\"cell\": \"17/16\", \"bbox\": [224, 36, 245, 46]}, {\"cell\": \"48/36\", \"bbox\": [294, 36, 315, 46]}, {\"cell\": \"0.73\", \"bbox\": [355, 36, 371, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [411, 36, 432, 46]}, {\"cell\": \"1.0\", \"bbox\": [474, 36, 486, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"OR (95% CI)\", \"bbox\": [147, 55, 192, 65]}, {\"cell\": \"1.00 (ref)\", \"bbox\": [218, 55, 251, 65]}, {\"cell\": \"0.80 (0.36 – 1.79)\", \"bbox\": [274, 55, 335, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [391, 55, 452, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[-786T>C; -714G>T; -690C>T](C)\", \"bbox\": [15, 66, 123, 85]}, {\"cell\": \"Controls/cases\", \"bbox\": [144, 66, 195, 75]}, {\"cell\": \"42/36\", \"bbox\": [224, 66, 245, 75]}, {\"cell\": \"44/37\", \"bbox\": [294, 66, 315, 75]}, {\"cell\": \"0.92\", \"bbox\": [355, 66, 371, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [415, 66, 428, 75]}, {\"cell\": \"0.81\", \"bbox\": [472, 66, 488, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"OR (95% CI)\", \"bbox\": [147, 85, 192, 95]}, {\"cell\": \"1.00 (ref)\", \"bbox\": [218, 85, 251, 95]}, {\"cell\": \"0.98 (0.52–1.83)\", \"bbox\": [276, 85, 332, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [391, 85, 452, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[-786T>C; -764A>G; -690C>T](A)\", \"bbox\": [15, 95, 123, 114]}, {\"cell\": \"Controls/cases\", \"bbox\": [144, 95, 195, 105]}, {\"cell\": \"72/71\", \"bbox\": [224, 95, 245, 105]}, {\"cell\": \"22/11\", \"bbox\": [294, 95, 315, 105]}, {\"cell\": \"0.13\", \"bbox\": [355, 95, 371, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [415, 95, 428, 105]}, {\"cell\": \"--\", \"bbox\": [476, 95, 484, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"OR (95% CI)\", \"bbox\": [147, 115, 192, 125]}, {\"cell\": \"1.00 (ref)\", \"bbox\": [218, 115, 251, 125]}, {\"cell\": \"0.51 (0.23 – 1.12)\", \"bbox\": [274, 115, 335, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [418, 115, 425, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[-786T>C; -690A>G; -649G>A]b(N)\", \"bbox\": [13, 125, 125, 144]}, {\"cell\": \"Controls/cases\", \"bbox\": [144, 125, 195, 135]}, {\"cell\": \"94/82\", \"bbox\": [224, 125, 245, 135]}, {\"cell\": \"0/1\", \"bbox\": [298, 125, 311, 135]}, {\"cell\": \"--\", \"bbox\": [359, 125, 367, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [415, 125, 428, 135]}, {\"cell\": \"--\", \"bbox\": [476, 125, 484, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"OR (95% CI)\", \"bbox\": [147, 145, 192, 154]}, {\"cell\": \"1.00 (ref)\", \"bbox\": [218, 145, 251, 154]}, {\"cell\": \"--\", \"bbox\": [301, 145, 308, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [418, 145, 425, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2571109_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Simulator studentsHonest inpatientsHonest studentsF valueP value
(n = 40)(n = 40)(n = 40)
Mean(SD)Mean(SD)Mean(SD)
Primary scales
RS[EMPTY_CELL]2.38 (1.90)0.73 (1.30)191.91p < 0.05
SC[EMPTY_CELL]4.33 (2.99)1.05 (1.22)188.47p < 0.05
IA[EMPTY_CELL]1.28 (1.12)0.80 (0.94)232.92p < 0.05
BL[EMPTY_CELL]8.73 (4.06)0.55 (1.18)164.47p < 0.05
SU[EMPTY_CELL]8.05 (2.68)2.15 (2.18)161.77p < 0.05
SEL[EMPTY_CELL]11.03 (3.53)3.28 (2.52)95.87p < 0.05
SEV[EMPTY_CELL]3.08 (2.76)0.05 (0.22)45.68p < 0.05
RO[EMPTY_CELL]0.43 (1.11)0.33 (0.80)96.83p < 0.05
Supplementary scales
DA[EMPTY_CELL]3.05 (1.80)2.45 (1.40)26.12p > 0.05
DS[EMPTY_CELL]20.80 (6.33)17.60 (4.07)14.67p > 0.05
IF[EMPTY_CELL]1.80 (2.64)0.20 (0.91)87.16p < 0.05
OS[EMPTY_CELL]1.33 (1.44)0.28 (0.60)126.22p > 0.05
INC[EMPTY_CELL]0.48 (1.59)0.00 (0.00)40.13p < 0.05
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Simulator students\", \"bbox\": [59, 4, 126, 13]}, {\"cell\": \"Honest inpatients\", \"bbox\": [171, 4, 234, 13]}, {\"cell\": \"Honest students\", \"bbox\": [279, 4, 338, 13]}, {\"cell\": \"F value\", \"bbox\": [383, 4, 410, 13]}, {\"cell\": \"P value\", \"bbox\": [456, 4, 483, 13]}, {\"cell\": \"(n = 40)\", \"bbox\": [59, 17, 86, 26]}, {\"cell\": \"(n = 40)\", \"bbox\": [171, 17, 199, 26]}, {\"cell\": \"(n = 40)\", \"bbox\": [279, 17, 307, 26]}, {\"cell\": \"Mean(SD)\", \"bbox\": [59, 30, 94, 40]}, {\"cell\": \"Mean(SD)\", \"bbox\": [171, 30, 206, 40]}, {\"cell\": \"Mean(SD)\", \"bbox\": [279, 30, 314, 40]}, {\"cell\": \"Primary scales\", \"bbox\": [1, 43, 47, 53]}, {\"cell\": \"RS\", \"bbox\": [1, 57, 10, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [59, 57, 97, 67]}, {\"cell\": \"2.38 (1.90)\", \"bbox\": [171, 57, 205, 67]}, {\"cell\": \"0.73 (1.30)\", \"bbox\": [279, 57, 313, 67]}, {\"cell\": \"191.91\", \"bbox\": [383, 57, 405, 67]}, {\"cell\": \"p < 0.05\", \"bbox\": [456, 57, 483, 67]}, {\"cell\": \"SC\", \"bbox\": [1, 71, 11, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [59, 71, 97, 81]}, {\"cell\": \"4.33 (2.99)\", \"bbox\": [171, 71, 205, 81]}, {\"cell\": \"1.05 (1.22)\", \"bbox\": [279, 71, 313, 81]}, {\"cell\": \"188.47\", \"bbox\": [383, 71, 405, 81]}, {\"cell\": \"p < 0.05\", \"bbox\": [456, 71, 483, 81]}, {\"cell\": \"IA\", \"bbox\": [1, 85, 9, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [59, 85, 93, 95]}, {\"cell\": \"1.28 (1.12)\", \"bbox\": [171, 85, 205, 95]}, {\"cell\": \"0.80 (0.94)\", \"bbox\": [279, 85, 313, 95]}, {\"cell\": \"232.92\", \"bbox\": [383, 85, 405, 95]}, {\"cell\": \"p < 0.05\", \"bbox\": [456, 85, 483, 95]}, {\"cell\": \"BL\", \"bbox\": [1, 99, 10, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [59, 99, 97, 109]}, {\"cell\": \"8.73 (4.06)\", \"bbox\": [171, 99, 205, 109]}, {\"cell\": \"0.55 (1.18)\", \"bbox\": [279, 99, 313, 109]}, {\"cell\": \"164.47\", \"bbox\": [383, 99, 405, 109]}, {\"cell\": \"p < 0.05\", \"bbox\": [456, 99, 483, 109]}, {\"cell\": \"SU\", \"bbox\": [1, 113, 11, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [59, 113, 97, 123]}, {\"cell\": \"8.05 (2.68)\", \"bbox\": [171, 113, 205, 123]}, {\"cell\": \"2.15 (2.18)\", \"bbox\": [279, 113, 313, 123]}, {\"cell\": \"161.77\", \"bbox\": [383, 113, 405, 123]}, {\"cell\": \"p < 0.05\", \"bbox\": [456, 113, 483, 123]}, {\"cell\": \"SEL\", \"bbox\": [1, 127, 13, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [59, 127, 97, 137]}, {\"cell\": \"11.03 (3.53)\", \"bbox\": [171, 127, 209, 137]}, {\"cell\": \"3.28 (2.52)\", \"bbox\": [279, 127, 313, 137]}, {\"cell\": \"95.87\", \"bbox\": [383, 127, 401, 137]}, {\"cell\": \"p < 0.05\", \"bbox\": [456, 127, 483, 137]}, {\"cell\": \"SEV\", \"bbox\": [1, 141, 14, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [59, 141, 93, 151]}, {\"cell\": \"3.08 (2.76)\", \"bbox\": [171, 141, 205, 151]}, {\"cell\": \"0.05 (0.22)\", \"bbox\": [279, 141, 313, 151]}, {\"cell\": \"45.68\", \"bbox\": [383, 141, 401, 151]}, {\"cell\": \"p < 0.05\", \"bbox\": [456, 141, 483, 151]}, {\"cell\": \"RO\", \"bbox\": [1, 155, 12, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [59, 155, 93, 165]}, {\"cell\": \"0.43 (1.11)\", \"bbox\": [171, 155, 205, 165]}, {\"cell\": \"0.33 (0.80)\", \"bbox\": [279, 155, 313, 165]}, {\"cell\": \"96.83\", \"bbox\": [383, 155, 401, 165]}, {\"cell\": \"p < 0.05\", \"bbox\": [456, 155, 483, 165]}, {\"cell\": \"Supplementary scales\", \"bbox\": [1, 169, 72, 179]}, {\"cell\": \"DA\", \"bbox\": [1, 183, 12, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [59, 183, 93, 193]}, {\"cell\": \"3.05 (1.80)\", \"bbox\": [171, 183, 205, 193]}, {\"cell\": \"2.45 (1.40)\", \"bbox\": [279, 183, 313, 193]}, {\"cell\": \"26.12\", \"bbox\": [383, 183, 401, 193]}, {\"cell\": \"p > 0.05\", \"bbox\": [456, 183, 483, 193]}, {\"cell\": \"DS\", \"bbox\": [1, 197, 11, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [59, 197, 97, 207]}, {\"cell\": \"20.80 (6.33)\", \"bbox\": [171, 197, 209, 207]}, {\"cell\": \"17.60 (4.07)\", \"bbox\": [279, 197, 317, 207]}, {\"cell\": \"14.67\", \"bbox\": [383, 197, 401, 207]}, {\"cell\": \"p > 0.05\", \"bbox\": [456, 197, 483, 207]}, {\"cell\": \"IF\", \"bbox\": [1, 211, 8, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [59, 211, 97, 221]}, {\"cell\": \"1.80 (2.64)\", \"bbox\": [171, 211, 205, 221]}, {\"cell\": \"0.20 (0.91)\", \"bbox\": [279, 211, 313, 221]}, {\"cell\": \"87.16\", \"bbox\": [383, 211, 401, 221]}, {\"cell\": \"p < 0.05\", \"bbox\": [456, 211, 483, 221]}, {\"cell\": \"OS\", \"bbox\": [1, 225, 11, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [59, 225, 93, 235]}, {\"cell\": \"1.33 (1.44)\", \"bbox\": [171, 225, 205, 235]}, {\"cell\": \"0.28 (0.60)\", \"bbox\": [279, 225, 313, 235]}, {\"cell\": \"126.22\", \"bbox\": [383, 225, 405, 235]}, {\"cell\": \"p > 0.05\", \"bbox\": [456, 225, 483, 235]}, {\"cell\": \"INC\", \"bbox\": [1, 239, 14, 249]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [59, 239, 93, 249]}, {\"cell\": \"0.48 (1.59)\", \"bbox\": [171, 239, 205, 249]}, {\"cell\": \"0.00 (0.00)\", \"bbox\": [279, 239, 313, 249]}, {\"cell\": \"40.13\", \"bbox\": [383, 239, 401, 249]}, {\"cell\": \"p < 0.05\", \"bbox\": [456, 239, 483, 249]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3852949_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
No.E /μJD /μmT-t/nml/μmNo. of CellsPeak DiameteraProliferation Ratiob
1[EMPTY_CELL]45805002425241616171.471.481.46
2[EMPTY_CELL]30403002122221514141.31.321.31
3[EMPTY_CELL]60405001816191313131.331.331.32
4[EMPTY_CELL]30807003537371513151.351.321.36
5[EMPTY_CELL]601207001614141918191.521.541.49
6[EMPTY_CELL]451203002425241516161.411.461.44
7[EMPTY_CELL]45407003129331112121.121.091.07
8[EMPTY_CELL]60803004746381313141.261.181.22
9[EMPTY_CELL]301205004238401212111.131.111.07
Mean I[EMPTY_CELL]32.66723.44719.777No. of Cells
Mean II[EMPTY_CELL]26.55324.66327.333
Mean III[EMPTY_CELL]15.22326.33327.333
Range[EMPTY_CELL]17.4442.8867.556
Mean I[EMPTY_CELL]13.44313.00014.443Peak Diameter
Mean II[EMPTY_CELL]14.55714.66313.667
Mean III[EMPTY_CELL]15.00015.33714.890
Range[EMPTY_CELL]1.5572.3371.223
Mean I[EMPTY_CELL]1.2901.2431.323Proliferation Ratio
Mean II[EMPTY_CELL]1.3331.3431.340
Mean III[EMPTY_CELL]1.3571.3931.317
Range[EMPTY_CELL]0.0670.1500.023
\", \"cells\": [{\"cell\": \"No.\", \"bbox\": [1, 5, 13, 14]}, {\"cell\": \"E /μJ\", \"bbox\": [46, 5, 64, 14]}, {\"cell\": \"D /μm\", \"bbox\": [87, 5, 110, 14]}, {\"cell\": \"T-t/nm\", \"bbox\": [128, 5, 150, 14]}, {\"cell\": \"l/μm\", \"bbox\": [169, 5, 186, 14]}, {\"cell\": \"No. of Cells\", \"bbox\": [210, 5, 248, 14]}, {\"cell\": \"Peak Diametera\", \"bbox\": [295, 3, 347, 14]}, {\"cell\": \"Proliferation Ratiob\", \"bbox\": [394, 3, 456, 14]}, {\"cell\": \"1\", \"bbox\": [1, 18, 6, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 18, 52, 27]}, {\"cell\": \"45\", \"bbox\": [87, 18, 97, 27]}, {\"cell\": \"80\", \"bbox\": [128, 18, 138, 27]}, {\"cell\": \"500\", \"bbox\": [169, 18, 183, 27]}, {\"cell\": \"24\", \"bbox\": [210, 18, 220, 27]}, {\"cell\": \"25\", \"bbox\": [238, 18, 248, 27]}, {\"cell\": \"24\", \"bbox\": [267, 18, 277, 27]}, {\"cell\": \"16\", \"bbox\": [295, 18, 305, 27]}, {\"cell\": \"16\", \"bbox\": [328, 18, 338, 27]}, {\"cell\": \"17\", \"bbox\": [361, 18, 371, 27]}, {\"cell\": \"1.47\", \"bbox\": [394, 18, 409, 27]}, {\"cell\": \"1.48\", \"bbox\": [430, 18, 445, 27]}, {\"cell\": \"1.46\", \"bbox\": [466, 18, 481, 27]}, {\"cell\": \"2\", \"bbox\": [1, 32, 6, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 32, 52, 41]}, {\"cell\": \"30\", \"bbox\": [87, 32, 97, 41]}, {\"cell\": \"40\", \"bbox\": [128, 32, 138, 41]}, {\"cell\": \"300\", \"bbox\": [169, 32, 183, 41]}, {\"cell\": \"21\", \"bbox\": [210, 32, 220, 41]}, {\"cell\": \"22\", \"bbox\": [238, 32, 248, 41]}, {\"cell\": \"22\", \"bbox\": [267, 32, 277, 41]}, {\"cell\": \"15\", \"bbox\": [295, 32, 305, 41]}, {\"cell\": \"14\", \"bbox\": [328, 32, 338, 41]}, {\"cell\": \"14\", \"bbox\": [361, 32, 371, 41]}, {\"cell\": \"1.3\", \"bbox\": [394, 32, 405, 41]}, {\"cell\": \"1.32\", \"bbox\": [430, 32, 445, 41]}, {\"cell\": \"1.31\", \"bbox\": [466, 32, 481, 41]}, {\"cell\": \"3\", \"bbox\": [1, 46, 6, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 46, 52, 55]}, {\"cell\": \"60\", \"bbox\": [87, 46, 97, 55]}, {\"cell\": \"40\", \"bbox\": [128, 46, 138, 55]}, {\"cell\": \"500\", \"bbox\": [169, 46, 183, 55]}, {\"cell\": \"18\", \"bbox\": [210, 46, 220, 55]}, {\"cell\": \"16\", \"bbox\": [238, 46, 248, 55]}, {\"cell\": \"19\", \"bbox\": [267, 46, 277, 55]}, {\"cell\": \"13\", \"bbox\": [295, 46, 305, 55]}, {\"cell\": \"13\", \"bbox\": [328, 46, 338, 55]}, {\"cell\": \"13\", \"bbox\": [361, 46, 371, 55]}, {\"cell\": \"1.33\", \"bbox\": [394, 46, 409, 55]}, {\"cell\": \"1.33\", \"bbox\": [430, 46, 445, 55]}, {\"cell\": \"1.32\", \"bbox\": [466, 46, 481, 55]}, {\"cell\": \"4\", \"bbox\": [1, 60, 6, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 60, 52, 69]}, {\"cell\": \"30\", \"bbox\": [87, 60, 97, 69]}, {\"cell\": \"80\", \"bbox\": [128, 60, 138, 69]}, {\"cell\": \"700\", \"bbox\": [169, 60, 183, 69]}, {\"cell\": \"35\", \"bbox\": [210, 60, 220, 69]}, {\"cell\": \"37\", \"bbox\": [238, 60, 248, 69]}, {\"cell\": \"37\", \"bbox\": [267, 60, 277, 69]}, {\"cell\": \"15\", \"bbox\": [295, 60, 305, 69]}, {\"cell\": \"13\", \"bbox\": [328, 60, 338, 69]}, {\"cell\": \"15\", \"bbox\": [361, 60, 371, 69]}, {\"cell\": \"1.35\", \"bbox\": [394, 60, 409, 69]}, {\"cell\": \"1.32\", \"bbox\": [430, 60, 445, 69]}, {\"cell\": \"1.36\", \"bbox\": [466, 60, 481, 69]}, {\"cell\": \"5\", \"bbox\": [1, 74, 6, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 74, 52, 83]}, {\"cell\": \"60\", \"bbox\": [87, 74, 97, 83]}, {\"cell\": \"120\", \"bbox\": [128, 74, 142, 83]}, {\"cell\": \"700\", \"bbox\": [169, 74, 183, 83]}, {\"cell\": \"16\", \"bbox\": [210, 74, 220, 83]}, {\"cell\": \"14\", \"bbox\": [238, 74, 248, 83]}, {\"cell\": \"14\", \"bbox\": [267, 74, 277, 83]}, {\"cell\": \"19\", \"bbox\": [295, 74, 305, 83]}, {\"cell\": \"18\", \"bbox\": [328, 74, 338, 83]}, {\"cell\": \"19\", \"bbox\": [361, 74, 371, 83]}, {\"cell\": \"1.52\", \"bbox\": [394, 74, 409, 83]}, {\"cell\": \"1.54\", \"bbox\": [430, 74, 445, 83]}, {\"cell\": \"1.49\", \"bbox\": [466, 74, 481, 83]}, {\"cell\": \"6\", \"bbox\": [1, 88, 6, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 88, 52, 97]}, {\"cell\": \"45\", \"bbox\": [87, 88, 97, 97]}, {\"cell\": \"120\", \"bbox\": [128, 88, 142, 97]}, {\"cell\": \"300\", \"bbox\": [169, 88, 183, 97]}, {\"cell\": \"24\", \"bbox\": [210, 88, 220, 97]}, {\"cell\": \"25\", \"bbox\": [238, 88, 248, 97]}, {\"cell\": \"24\", \"bbox\": [267, 88, 277, 97]}, {\"cell\": \"15\", \"bbox\": [295, 88, 305, 97]}, {\"cell\": \"16\", \"bbox\": [328, 88, 338, 97]}, {\"cell\": \"16\", \"bbox\": [361, 88, 371, 97]}, {\"cell\": \"1.41\", \"bbox\": [394, 88, 409, 97]}, {\"cell\": \"1.46\", \"bbox\": [430, 88, 445, 97]}, {\"cell\": \"1.44\", \"bbox\": [466, 88, 481, 97]}, {\"cell\": \"7\", \"bbox\": [1, 102, 6, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 102, 56, 111]}, {\"cell\": \"45\", \"bbox\": [87, 102, 97, 111]}, {\"cell\": \"40\", \"bbox\": [128, 102, 138, 111]}, {\"cell\": \"700\", \"bbox\": [169, 102, 183, 111]}, {\"cell\": \"31\", \"bbox\": [210, 102, 220, 111]}, {\"cell\": \"29\", \"bbox\": [238, 102, 248, 111]}, {\"cell\": \"33\", \"bbox\": [267, 102, 277, 111]}, {\"cell\": \"11\", \"bbox\": [295, 102, 305, 111]}, {\"cell\": \"12\", \"bbox\": [328, 102, 338, 111]}, {\"cell\": \"12\", \"bbox\": [361, 102, 371, 111]}, {\"cell\": \"1.12\", \"bbox\": [394, 102, 409, 111]}, {\"cell\": \"1.09\", \"bbox\": [430, 102, 445, 111]}, {\"cell\": \"1.07\", \"bbox\": [466, 102, 481, 111]}, {\"cell\": \"8\", \"bbox\": [1, 116, 6, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 116, 56, 125]}, {\"cell\": \"60\", \"bbox\": [87, 116, 97, 125]}, {\"cell\": \"80\", \"bbox\": [128, 116, 138, 125]}, {\"cell\": \"300\", \"bbox\": [169, 116, 183, 125]}, {\"cell\": \"47\", \"bbox\": [210, 116, 220, 125]}, {\"cell\": \"46\", \"bbox\": [238, 116, 248, 125]}, {\"cell\": \"38\", \"bbox\": [267, 116, 277, 125]}, {\"cell\": \"13\", \"bbox\": [295, 116, 305, 125]}, {\"cell\": \"13\", \"bbox\": [328, 116, 338, 125]}, {\"cell\": \"14\", \"bbox\": [361, 116, 371, 125]}, {\"cell\": \"1.26\", \"bbox\": [394, 116, 409, 125]}, {\"cell\": \"1.18\", \"bbox\": [430, 116, 445, 125]}, {\"cell\": \"1.22\", \"bbox\": [466, 116, 481, 125]}, {\"cell\": \"9\", \"bbox\": [1, 130, 6, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 130, 56, 139]}, {\"cell\": \"30\", \"bbox\": [87, 130, 97, 139]}, {\"cell\": \"120\", \"bbox\": [128, 130, 142, 139]}, {\"cell\": \"500\", \"bbox\": [169, 130, 183, 139]}, {\"cell\": \"42\", \"bbox\": [210, 130, 220, 139]}, {\"cell\": \"38\", \"bbox\": [238, 130, 248, 139]}, {\"cell\": \"40\", \"bbox\": [267, 130, 277, 139]}, {\"cell\": \"12\", \"bbox\": [295, 130, 305, 139]}, {\"cell\": \"12\", \"bbox\": [328, 130, 338, 139]}, {\"cell\": \"11\", \"bbox\": [361, 130, 371, 139]}, {\"cell\": \"1.13\", \"bbox\": [394, 130, 409, 139]}, {\"cell\": \"1.11\", \"bbox\": [430, 130, 445, 139]}, {\"cell\": \"1.07\", \"bbox\": [466, 130, 481, 139]}, {\"cell\": \"Mean I\", \"bbox\": [1, 144, 24, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 144, 69, 153]}, {\"cell\": \"32.667\", \"bbox\": [87, 144, 109, 153]}, {\"cell\": \"23.447\", \"bbox\": [128, 144, 151, 153]}, {\"cell\": \"19.777\", \"bbox\": [169, 144, 192, 153]}, {\"cell\": \"No. of Cells\", \"bbox\": [210, 144, 248, 153]}, {\"cell\": \"Mean II\", \"bbox\": [1, 158, 26, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 158, 69, 167]}, {\"cell\": \"26.553\", \"bbox\": [87, 158, 109, 167]}, {\"cell\": \"24.663\", \"bbox\": [128, 158, 151, 167]}, {\"cell\": \"27.333\", \"bbox\": [169, 158, 192, 167]}, {\"cell\": \"Mean III\", \"bbox\": [1, 172, 28, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 172, 69, 181]}, {\"cell\": \"15.223\", \"bbox\": [87, 172, 109, 181]}, {\"cell\": \"26.333\", \"bbox\": [128, 172, 151, 181]}, {\"cell\": \"27.333\", \"bbox\": [169, 172, 192, 181]}, {\"cell\": \"Range\", \"bbox\": [1, 186, 22, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 186, 65, 195]}, {\"cell\": \"17.444\", \"bbox\": [87, 186, 109, 195]}, {\"cell\": \"2.886\", \"bbox\": [128, 186, 147, 195]}, {\"cell\": \"7.556\", \"bbox\": [169, 186, 188, 195]}, {\"cell\": \"Mean I\", \"bbox\": [1, 200, 24, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 200, 69, 209]}, {\"cell\": \"13.443\", \"bbox\": [87, 200, 109, 209]}, {\"cell\": \"13.000\", \"bbox\": [128, 200, 151, 209]}, {\"cell\": \"14.443\", \"bbox\": [169, 200, 192, 209]}, {\"cell\": \"Peak Diameter\", \"bbox\": [210, 200, 258, 209]}, {\"cell\": \"Mean II\", \"bbox\": [1, 214, 26, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 214, 69, 223]}, {\"cell\": \"14.557\", \"bbox\": [87, 214, 109, 223]}, {\"cell\": \"14.663\", \"bbox\": [128, 214, 151, 223]}, {\"cell\": \"13.667\", \"bbox\": [169, 214, 192, 223]}, {\"cell\": \"Mean III\", \"bbox\": [1, 228, 28, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 228, 69, 237]}, {\"cell\": \"15.000\", \"bbox\": [87, 228, 109, 237]}, {\"cell\": \"15.337\", \"bbox\": [128, 228, 151, 237]}, {\"cell\": \"14.890\", \"bbox\": [169, 228, 192, 237]}, {\"cell\": \"Range\", \"bbox\": [1, 242, 22, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 242, 65, 251]}, {\"cell\": \"1.557\", \"bbox\": [87, 242, 106, 251]}, {\"cell\": \"2.337\", \"bbox\": [128, 242, 147, 251]}, {\"cell\": \"1.223\", \"bbox\": [169, 242, 188, 251]}, {\"cell\": \"Mean I\", \"bbox\": [1, 256, 24, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 256, 65, 265]}, {\"cell\": \"1.290\", \"bbox\": [87, 256, 106, 265]}, {\"cell\": \"1.243\", \"bbox\": [128, 256, 147, 265]}, {\"cell\": \"1.323\", \"bbox\": [169, 256, 188, 265]}, {\"cell\": \"Proliferation Ratio\", \"bbox\": [210, 256, 268, 265]}, {\"cell\": \"Mean II\", \"bbox\": [1, 270, 26, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 270, 65, 279]}, {\"cell\": \"1.333\", \"bbox\": [87, 270, 106, 279]}, {\"cell\": \"1.343\", \"bbox\": [128, 270, 147, 279]}, {\"cell\": \"1.340\", \"bbox\": [169, 270, 188, 279]}, {\"cell\": \"Mean III\", \"bbox\": [1, 284, 28, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 284, 65, 293]}, {\"cell\": \"1.357\", \"bbox\": [87, 284, 106, 293]}, {\"cell\": \"1.393\", \"bbox\": [128, 284, 147, 293]}, {\"cell\": \"1.317\", \"bbox\": [169, 284, 188, 293]}, {\"cell\": \"Range\", \"bbox\": [1, 298, 22, 307]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 298, 65, 307]}, {\"cell\": \"0.067\", \"bbox\": [87, 298, 106, 307]}, {\"cell\": \"0.150\", \"bbox\": [128, 298, 147, 307]}, {\"cell\": \"0.023\", \"bbox\": [169, 298, 188, 307]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5237295_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Apicomplexan species Ortho-MCLaBLASTbConfirmedcAll combineddConflicts removedeNon-SP filteredf
B. bovis 46 45 4 61 59 [EMPTY_CELL]
B. microti 51 50 0 61 58 [EMPTY_CELL]
C. hominis 17 24 0 28 25 [EMPTY_CELL]
C. muris 19 27 0 32 29 [EMPTY_CELL]
C. parvum 17 24 0 29 26 [EMPTY_CELL]
E. tenella 82 61 1 89 84 [EMPTY_CELL]
N. caninum 78 68 0 82 77 [EMPTY_CELL]
P. berghei 72 73 0 77 73 [EMPTY_CELL]
P. chabaudi 72 73 0 77 72 [EMPTY_CELL]
P. cynomolgi 70 72 0 77 73 [EMPTY_CELL]
P. falciparum 45 60 40 89 85 [EMPTY_CELL]
P. knowlesi 72 72 0 77 73 [EMPTY_CELL]
P. vivax 69 72 0 75 71 [EMPTY_CELL]
P. yoelii 70 68 3 77 73 [EMPTY_CELL]
T. annulata 45 47 0 56 54 [EMPTY_CELL]
T. parva 49 42 0 59 57 [EMPTY_CELL]
T. gondii 53 59 45 102 96 [EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Apicomplexan species \", \"bbox\": [2, 4, 84, 15]}, {\"cell\": \"Ortho-MCLa\", \"bbox\": [97, 2, 146, 15]}, {\"cell\": \"BLASTb\", \"bbox\": [165, 2, 196, 15]}, {\"cell\": \"Confirmedc\", \"bbox\": [214, 2, 258, 15]}, {\"cell\": \"All combinedd\", \"bbox\": [276, 2, 331, 15]}, {\"cell\": \"Conflicts removede\", \"bbox\": [349, 2, 420, 15]}, {\"cell\": \"Non-SP filteredf\", \"bbox\": [438, 2, 498, 15]}, {\"cell\": \"B. bovis \", \"bbox\": [2, 17, 32, 28]}, {\"cell\": \"46 \", \"bbox\": [117, 17, 128, 28]}, {\"cell\": \"45 \", \"bbox\": [175, 17, 186, 28]}, {\"cell\": \"4 \", \"bbox\": [233, 17, 239, 28]}, {\"cell\": \"61 \", \"bbox\": [299, 17, 308, 28]}, {\"cell\": \"59 \", \"bbox\": [380, 17, 390, 28]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [464, 17, 473, 28]}, {\"cell\": \"B. microti \", \"bbox\": [2, 29, 39, 40]}, {\"cell\": \"51 \", \"bbox\": [118, 29, 127, 40]}, {\"cell\": \"50 \", \"bbox\": [175, 29, 186, 40]}, {\"cell\": \"0 \", \"bbox\": [233, 29, 239, 40]}, {\"cell\": \"61 \", \"bbox\": [299, 29, 308, 40]}, {\"cell\": \"58 \", \"bbox\": [380, 29, 390, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 29, 474, 40]}, {\"cell\": \"C. hominis \", \"bbox\": [2, 42, 42, 53]}, {\"cell\": \"17 \", \"bbox\": [118, 42, 127, 53]}, {\"cell\": \"24 \", \"bbox\": [175, 42, 186, 53]}, {\"cell\": \"0 \", \"bbox\": [233, 42, 239, 53]}, {\"cell\": \"28 \", \"bbox\": [299, 42, 309, 53]}, {\"cell\": \"25 \", \"bbox\": [380, 42, 390, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [466, 42, 471, 53]}, {\"cell\": \"C. muris \", \"bbox\": [2, 54, 35, 65]}, {\"cell\": \"19 \", \"bbox\": [117, 54, 127, 65]}, {\"cell\": \"27 \", \"bbox\": [175, 54, 186, 65]}, {\"cell\": \"0 \", \"bbox\": [233, 54, 239, 65]}, {\"cell\": \"32 \", \"bbox\": [299, 54, 309, 65]}, {\"cell\": \"29 \", \"bbox\": [379, 54, 390, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [465, 54, 472, 65]}, {\"cell\": \"C. parvum \", \"bbox\": [2, 67, 42, 77]}, {\"cell\": \"17 \", \"bbox\": [118, 67, 127, 77]}, {\"cell\": \"24 \", \"bbox\": [175, 67, 186, 77]}, {\"cell\": \"0 \", \"bbox\": [233, 67, 239, 77]}, {\"cell\": \"29 \", \"bbox\": [298, 67, 309, 77]}, {\"cell\": \"26 \", \"bbox\": [379, 67, 390, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [465, 67, 472, 77]}, {\"cell\": \"E. tenella \", \"bbox\": [2, 79, 37, 90]}, {\"cell\": \"82 \", \"bbox\": [117, 79, 127, 90]}, {\"cell\": \"61 \", \"bbox\": [176, 79, 185, 90]}, {\"cell\": \"1 \", \"bbox\": [234, 79, 239, 90]}, {\"cell\": \"89 \", \"bbox\": [298, 79, 309, 90]}, {\"cell\": \"84 \", \"bbox\": [379, 79, 390, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 79, 474, 90]}, {\"cell\": \"N. caninum \", \"bbox\": [2, 92, 46, 102]}, {\"cell\": \"78 \", \"bbox\": [117, 92, 127, 102]}, {\"cell\": \"68 \", \"bbox\": [175, 92, 186, 102]}, {\"cell\": \"0 \", \"bbox\": [233, 92, 239, 102]}, {\"cell\": \"82 \", \"bbox\": [299, 92, 309, 102]}, {\"cell\": \"77 \", \"bbox\": [380, 92, 390, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [464, 92, 473, 102]}, {\"cell\": \"P. berghei \", \"bbox\": [2, 104, 38, 115]}, {\"cell\": \"72 \", \"bbox\": [117, 104, 127, 115]}, {\"cell\": \"73 \", \"bbox\": [175, 104, 185, 115]}, {\"cell\": \"0 \", \"bbox\": [233, 104, 239, 115]}, {\"cell\": \"77 \", \"bbox\": [299, 104, 309, 115]}, {\"cell\": \"73 \", \"bbox\": [380, 104, 390, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 104, 474, 115]}, {\"cell\": \"P. chabaudi \", \"bbox\": [2, 117, 45, 127]}, {\"cell\": \"72 \", \"bbox\": [117, 117, 127, 127]}, {\"cell\": \"73 \", \"bbox\": [175, 117, 185, 127]}, {\"cell\": \"0 \", \"bbox\": [233, 117, 239, 127]}, {\"cell\": \"77 \", \"bbox\": [299, 117, 309, 127]}, {\"cell\": \"72 \", \"bbox\": [380, 117, 390, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [464, 117, 473, 127]}, {\"cell\": \"P. cynomolgi \", \"bbox\": [2, 129, 48, 140]}, {\"cell\": \"70 \", \"bbox\": [117, 129, 127, 140]}, {\"cell\": \"72 \", \"bbox\": [175, 129, 185, 140]}, {\"cell\": \"0 \", \"bbox\": [233, 129, 239, 140]}, {\"cell\": \"77 \", \"bbox\": [299, 129, 309, 140]}, {\"cell\": \"73 \", \"bbox\": [380, 129, 390, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [464, 129, 473, 140]}, {\"cell\": \"P. falciparum \", \"bbox\": [2, 141, 51, 152]}, {\"cell\": \"45 \", \"bbox\": [117, 141, 127, 152]}, {\"cell\": \"60 \", \"bbox\": [175, 141, 186, 152]}, {\"cell\": \"40 \", \"bbox\": [231, 141, 242, 152]}, {\"cell\": \"89 \", \"bbox\": [298, 141, 309, 152]}, {\"cell\": \"85 \", \"bbox\": [380, 141, 390, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 141, 474, 152]}, {\"cell\": \"P. knowlesi \", \"bbox\": [2, 154, 42, 165]}, {\"cell\": \"72 \", \"bbox\": [117, 154, 127, 165]}, {\"cell\": \"72 \", \"bbox\": [175, 154, 185, 165]}, {\"cell\": \"0 \", \"bbox\": [233, 154, 239, 165]}, {\"cell\": \"77 \", \"bbox\": [299, 154, 309, 165]}, {\"cell\": \"73 \", \"bbox\": [380, 154, 390, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 154, 474, 165]}, {\"cell\": \"P. vivax \", \"bbox\": [2, 166, 31, 177]}, {\"cell\": \"69 \", \"bbox\": [117, 166, 127, 177]}, {\"cell\": \"72 \", \"bbox\": [175, 166, 185, 177]}, {\"cell\": \"0 \", \"bbox\": [233, 166, 239, 177]}, {\"cell\": \"75 \", \"bbox\": [299, 166, 309, 177]}, {\"cell\": \"71 \", \"bbox\": [380, 166, 389, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [464, 166, 473, 177]}, {\"cell\": \"P. yoelii \", \"bbox\": [2, 179, 31, 190]}, {\"cell\": \"70 \", \"bbox\": [117, 179, 127, 190]}, {\"cell\": \"68 \", \"bbox\": [175, 179, 186, 190]}, {\"cell\": \"3 \", \"bbox\": [233, 179, 239, 190]}, {\"cell\": \"77 \", \"bbox\": [299, 179, 309, 190]}, {\"cell\": \"73 \", \"bbox\": [380, 179, 390, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [464, 179, 473, 190]}, {\"cell\": \"T. annulata \", \"bbox\": [2, 191, 45, 202]}, {\"cell\": \"45 \", \"bbox\": [117, 191, 127, 202]}, {\"cell\": \"47 \", \"bbox\": [175, 191, 186, 202]}, {\"cell\": \"0 \", \"bbox\": [233, 191, 239, 202]}, {\"cell\": \"56 \", \"bbox\": [298, 191, 309, 202]}, {\"cell\": \"54 \", \"bbox\": [379, 191, 390, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 191, 474, 202]}, {\"cell\": \"T. parva \", \"bbox\": [2, 204, 34, 214]}, {\"cell\": \"49 \", \"bbox\": [117, 204, 128, 214]}, {\"cell\": \"42 \", \"bbox\": [175, 204, 186, 214]}, {\"cell\": \"0 \", \"bbox\": [233, 204, 239, 214]}, {\"cell\": \"59 \", \"bbox\": [299, 204, 309, 214]}, {\"cell\": \"57 \", \"bbox\": [380, 204, 390, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 204, 474, 214]}, {\"cell\": \"T. gondii \", \"bbox\": [2, 216, 35, 227]}, {\"cell\": \"53 \", \"bbox\": [117, 216, 127, 227]}, {\"cell\": \"59 \", \"bbox\": [175, 216, 186, 227]}, {\"cell\": \"45 \", \"bbox\": [231, 216, 241, 227]}, {\"cell\": \"102 \", \"bbox\": [297, 216, 310, 227]}, {\"cell\": \"96 \", \"bbox\": [379, 216, 390, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 216, 474, 227]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4324891_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
IDSizeProteins in the predicted moduleReal protein moduleMR(%)p-values
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]BiologicalCellularMolecular
[EMPTY_CELL]5yyor132w yor069w yjl154c yhr012w yjl053wRetromer module1003.13e-095.58e-134.67e-08
[EMPTY_CELL]12ykl022c ynl172w yfr036w yhr166c ybl084c ylr127cAnaphase-promoting1004.62e-222.08e-284.13e-15
[EMPTY_CELL][EMPTY_CELL]yor249c ygl240w ylr102c ydl008w ydr118w ygr225w[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]8yar003w ybr175w ydr469w ylr015w yhr119w ypl138cCOMPASS module1004.31e-174.31e-176.70e-21
[EMPTY_CELL][EMPTY_CELL]ybr258c ykl018w[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]10ymr309c ynl244c ypr041w yor361c ymr146c ydr429ceIF1/eIF3/eIF5 module807.12e-102.05e-141.51e-13
[EMPTY_CELL][EMPTY_CELL]yil071c ybr079c ynl062c ylr192c[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]16ydr195w ydr228c yor250c ymr061w ypr107c yjr093cmRNA cleavage factor93.86.79e-264.48e-331.92e-11
[EMPTY_CELL][EMPTY_CELL]ykr002w ydr301w ylr115w yal043c ylr277c ynl317w[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]ykl059c yor179c ynl222w ydl094c[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]7yjl194w yml065w ybr060c yll004w ypr162c ynl261wDNA replication preinitiation1005.38e-144.19e-152.64e-12
[EMPTY_CELL][EMPTY_CELL]yhr118c[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]13yor076c ygr158c ydl111c ygr195w ydr280w yol021cExosome1002.62e-284.57e-304.36e-02
[EMPTY_CELL][EMPTY_CELL]yhr069c ynl232w yol142w ycr035c ygr095c yor001w[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]yhr081w[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]10ynr003c ypr190c ypr110c ynl113w yor116c ydr045cRNA polymerase III1001.93e-154.50e-164.50e-16
[EMPTY_CELL][EMPTY_CELL]yor207c yfr011c ynl248c ykl144c[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]8ybl023c ylr103c ylr274w yil150c yel032w ybr202wDNA replication preinitiation752.93e-122.93e-123.92e-11
[EMPTY_CELL][EMPTY_CELL]ymr216c ygl201c[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]6ylr418c ybr279w yol145c yor123c ygl244w yml010wTranscription elongation factor1007.43e-154.11e-112.63e-12
\", \"cells\": [{\"cell\": \"ID\", \"bbox\": [1, 5, 10, 14]}, {\"cell\": \"Size\", \"bbox\": [19, 5, 35, 14]}, {\"cell\": \"Proteins in the predicted module\", \"bbox\": [71, 5, 187, 14]}, {\"cell\": \"Real protein module\", \"bbox\": [237, 5, 309, 14]}, {\"cell\": \"MR(%)\", \"bbox\": [332, 5, 357, 14]}, {\"cell\": \"p-values\", \"bbox\": [409, 5, 441, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Biological\", \"bbox\": [365, 18, 402, 27]}, {\"cell\": \"Cellular\", \"bbox\": [410, 18, 439, 27]}, {\"cell\": \"Molecular\", \"bbox\": [448, 18, 484, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 32, 8, 41]}, {\"cell\": \"5\", \"bbox\": [24, 32, 30, 41]}, {\"cell\": \"yyor132w yor069w yjl154c yhr012w yjl053w\", \"bbox\": [58, 32, 200, 41]}, {\"cell\": \"Retromer module\", \"bbox\": [244, 32, 303, 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\"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 168, 8, 178]}, {\"cell\": \"7\", \"bbox\": [24, 168, 30, 178]}, {\"cell\": \"yjl194w yml065w ybr060c yll004w ypr162c ynl261w\", \"bbox\": [45, 168, 212, 178]}, {\"cell\": \"DNA replication preinitiation\", \"bbox\": [227, 168, 320, 178]}, {\"cell\": \"100\", \"bbox\": [332, 168, 346, 178]}, {\"cell\": \"5.38e-14\", \"bbox\": [369, 168, 398, 178]}, {\"cell\": \"4.19e-15\", \"bbox\": [410, 168, 439, 178]}, {\"cell\": \"2.64e-12\", \"bbox\": [452, 168, 481, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"yhr118c\", \"bbox\": [115, 182, 143, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 196, 8, 205]}, {\"cell\": \"13\", \"bbox\": [22, 196, 32, 205]}, {\"cell\": \"yor076c ygr158c ydl111c ygr195w ydr280w yol021c\", \"bbox\": [46, 196, 212, 205]}, {\"cell\": \"Exosome\", \"bbox\": [258, 196, 289, 205]}, {\"cell\": \"100\", \"bbox\": [332, 196, 346, 205]}, {\"cell\": \"2.62e-28\", \"bbox\": [369, 196, 398, 205]}, {\"cell\": \"4.57e-30\", \"bbox\": [410, 196, 439, 205]}, {\"cell\": \"4.36e-02\", \"bbox\": [452, 196, 481, 205]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"yhr069c ynl232w yol142w ycr035c ygr095c yor001w\", \"bbox\": [45, 209, 213, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"yhr081w\", \"bbox\": [114, 223, 144, 233]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 237, 8, 246]}, {\"cell\": \"10\", \"bbox\": [22, 237, 32, 246]}, {\"cell\": \"ynr003c ypr190c ypr110c ynl113w yor116c ydr045c\", \"bbox\": [46, 237, 212, 246]}, {\"cell\": \"RNA polymerase III\", \"bbox\": [242, 237, 304, 246]}, {\"cell\": \"100\", \"bbox\": [332, 237, 346, 246]}, {\"cell\": \"1.93e-15\", \"bbox\": [369, 237, 398, 246]}, {\"cell\": \"4.50e-16\", \"bbox\": [410, 237, 439, 246]}, {\"cell\": \"4.50e-16\", \"bbox\": [452, 237, 481, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"yor207c yfr011c ynl248c ykl144c\", \"bbox\": [77, 250, 181, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 264, 8, 274]}, {\"cell\": \"8\", \"bbox\": [24, 264, 30, 274]}, {\"cell\": \"ybl023c ylr103c ylr274w yil150c yel032w ybr202w\", \"bbox\": [49, 264, 209, 274]}, {\"cell\": \"DNA replication preinitiation\", \"bbox\": [227, 264, 320, 274]}, {\"cell\": \"75\", \"bbox\": [332, 264, 342, 274]}, {\"cell\": \"2.93e-12\", \"bbox\": [369, 264, 398, 274]}, {\"cell\": \"2.93e-12\", \"bbox\": [410, 264, 439, 274]}, {\"cell\": \"3.92e-11\", \"bbox\": [452, 264, 481, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"ymr216c ygl201c\", \"bbox\": [101, 278, 157, 287]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 291, 10, 301]}, {\"cell\": \"6\", \"bbox\": [24, 291, 30, 301]}, {\"cell\": \"ylr418c ybr279w yol145c yor123c ygl244w yml010w\", \"bbox\": [45, 291, 213, 301]}, {\"cell\": \"Transcription elongation factor\", \"bbox\": [223, 291, 323, 301]}, {\"cell\": \"100\", \"bbox\": [332, 291, 346, 301]}, {\"cell\": \"7.43e-15\", \"bbox\": [369, 291, 398, 301]}, {\"cell\": \"4.11e-11\", \"bbox\": [410, 291, 439, 301]}, {\"cell\": \"2.63e-12\", \"bbox\": [452, 291, 481, 301]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4262229_021_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Comparative dataArea Under the ROC Curve (AUC), Standard Error (95% CI)Sensitivity% (95% CI)Specificity% (95% CI)Likelihood ratio
Cohort 1[EMPTY_CELL]0.90, 0.043 (0.82 to 0.98)82.61 (61.22 to 95.05)84.85 (68.10 to 94.89)5.45
Oral swab from oral cancer subjects: Oral rinse from healthy controls[EMPTY_CELL]91.30 (71.96 to 98.93)84.85 (68.10 to 94.89)6.03
Cohort 2[EMPTY_CELL]0.93, 0.03 (0.88 to 0.99)88.10 (74.37 to 96.02)92.59 (82.11 to 97.94)11.89
Oral rinse from oropharyngeal cancer subjects: Oral rinse from healthy controls[EMPTY_CELL]82.61 (61.22 to 95.05)92.59 (82.11 to 97.94)11.15
Cohort 1 + 2[EMPTY_CELL]0.93, 0.02 (0.88 to 0.97)86.15 (75.34 to 93.47)89.66 (81.27 to 95.16)8.33
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Comparative data\", \"bbox\": [34, 4, 92, 13]}, {\"cell\": \"Area Under the ROC Curve (AUC), Standard Error (95% CI)\", \"bbox\": [212, 4, 322, 22]}, {\"cell\": \"Sensitivity% (95% CI)\", \"bbox\": [343, 4, 382, 22]}, {\"cell\": \"Specificity% (95% CI)\", \"bbox\": [395, 4, 435, 22]}, {\"cell\": \"Likelihood ratio\", \"bbox\": [447, 4, 482, 22]}, {\"cell\": \"Cohort 1\", \"bbox\": [1, 26, 24, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 26, 200, 45]}, {\"cell\": \"0.90, 0.043 (0.82 to 0.98)\", \"bbox\": [212, 26, 290, 36]}, {\"cell\": \"82.61 (61.22 to 95.05)\", \"bbox\": [343, 26, 383, 45]}, {\"cell\": \"84.85 (68.10 to 94.89)\", \"bbox\": [395, 26, 435, 45]}, {\"cell\": \"5.45\", \"bbox\": [447, 26, 462, 36]}, {\"cell\": \"Oral swab from oral cancer subjects: Oral rinse from healthy controls\", \"bbox\": [34, 49, 202, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 49, 286, 59]}, {\"cell\": \"91.30 (71.96 to 98.93)\", \"bbox\": [343, 49, 383, 68]}, {\"cell\": \"84.85 (68.10 to 94.89)\", \"bbox\": [395, 49, 435, 68]}, {\"cell\": \"6.03\", \"bbox\": [447, 49, 462, 59]}, {\"cell\": \"Cohort 2\", \"bbox\": [1, 72, 24, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 72, 200, 91]}, {\"cell\": \"0.93, 0.03 (0.88 to 0.99)\", \"bbox\": [212, 72, 286, 82]}, {\"cell\": \"88.10 (74.37 to 96.02)\", \"bbox\": [343, 72, 383, 91]}, {\"cell\": \"92.59 (82.11 to 97.94)\", \"bbox\": [395, 72, 435, 91]}, {\"cell\": \"11.89\", \"bbox\": [447, 72, 466, 82]}, {\"cell\": \"Oral rinse from oropharyngeal cancer subjects: Oral rinse from healthy controls\", \"bbox\": [34, 95, 200, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 95, 286, 105]}, {\"cell\": \"82.61 (61.22 to 95.05)\", \"bbox\": [343, 95, 383, 114]}, {\"cell\": \"92.59 (82.11 to 97.94)\", \"bbox\": [395, 95, 435, 114]}, {\"cell\": \"11.15\", \"bbox\": [447, 95, 466, 105]}, {\"cell\": \"Cohort 1 + 2\", \"bbox\": [1, 118, 24, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 118, 200, 137]}, {\"cell\": \"0.93, 0.02 (0.88 to 0.97)\", \"bbox\": [212, 118, 286, 128]}, {\"cell\": \"86.15 (75.34 to 93.47)\", \"bbox\": [343, 118, 383, 137]}, {\"cell\": \"89.66 (81.27 to 95.16)\", \"bbox\": [395, 118, 435, 137]}, {\"cell\": \"8.33\", \"bbox\": [447, 118, 462, 128]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC6080527_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
StudyRegionDiagnostic criteriaPrevalence (per million population)Prevalence > 50 yrs (per million population)
Lingberg et al.[2]Sweden[EMPTY_CELL]2.2n/a
Kaipiainen-Seppanen and Aho[4]Finland[EMPTY_CELL]0.9n/a
Philips et al.[5]Australia[EMPTY_CELL]9.335.3
Badrising et al.[3]Netherlands[EMPTY_CELL]4.916
Felice and North (Connecticut, USA)[6]Connecticut, USA[EMPTY_CELL]10.728.9 (>45 yrs)
Needham et al.[1]Western Australia[EMPTY_CELL]14.951.2
Wilson et al.[7]Olmsted County, USA[EMPTY_CELL]71n/a
Oflazer et al.[8]Istanbul, Turkey[EMPTY_CELL]1.06.0
Suzuki et al.[9]Japan[EMPTY_CELL]1.3 (in 1991)n/a
9.8 (in 2003)n/a
Tan et al.[10]South Australia[EMPTY_CELL]50.5139.3
\", \"cells\": [{\"cell\": \"Study\", \"bbox\": [1, 4, 22, 13]}, {\"cell\": \"Region\", \"bbox\": [131, 4, 157, 13]}, {\"cell\": \"Diagnostic criteria\", \"bbox\": [213, 4, 278, 13]}, {\"cell\": \"Prevalence (per million population)\", \"bbox\": [314, 4, 394, 22]}, {\"cell\": \"Prevalence > 50 yrs (per million population)\", \"bbox\": [404, 4, 484, 22]}, {\"cell\": \"Lingberg et al.[2]\", \"bbox\": [1, 26, 59, 36]}, {\"cell\": \"Sweden\", \"bbox\": [131, 26, 159, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 26, 290, 36]}, {\"cell\": \"2.2\", \"bbox\": [314, 26, 325, 36]}, {\"cell\": \"n/a\", \"bbox\": [404, 26, 417, 36]}, {\"cell\": \"Kaipiainen-Seppanen and Aho[4]\", \"bbox\": [1, 40, 110, 50]}, {\"cell\": \"Finland\", \"bbox\": [131, 40, 157, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 40, 264, 50]}, {\"cell\": \"0.9\", \"bbox\": [314, 40, 325, 50]}, {\"cell\": \"n/a\", \"bbox\": [404, 40, 417, 50]}, {\"cell\": \"Philips et al.[5]\", \"bbox\": [1, 54, 51, 64]}, {\"cell\": \"Australia\", \"bbox\": [131, 54, 160, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 54, 276, 64]}, {\"cell\": \"9.3\", \"bbox\": [314, 54, 325, 64]}, {\"cell\": \"35.3\", \"bbox\": [404, 54, 419, 64]}, {\"cell\": \"Badrising et al.[3]\", \"bbox\": [1, 68, 59, 78]}, {\"cell\": \"Netherlands\", \"bbox\": [131, 68, 171, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 68, 258, 78]}, {\"cell\": \"4.9\", \"bbox\": [314, 68, 325, 78]}, {\"cell\": \"16\", \"bbox\": [404, 68, 414, 78]}, {\"cell\": \"Felice and North (Connecticut, USA)[6]\", \"bbox\": [1, 82, 121, 92]}, {\"cell\": \"Connecticut, USA\", \"bbox\": [131, 82, 189, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 82, 276, 92]}, {\"cell\": \"10.7\", \"bbox\": [314, 82, 329, 92]}, {\"cell\": \"28.9 (>45 yrs)\", \"bbox\": [404, 82, 449, 92]}, {\"cell\": \"Needham et al.[1]\", \"bbox\": [1, 96, 62, 106]}, {\"cell\": \"Western Australia\", \"bbox\": [131, 96, 188, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 96, 299, 106]}, {\"cell\": \"14.9\", \"bbox\": [314, 96, 329, 106]}, {\"cell\": \"51.2\", \"bbox\": [404, 96, 419, 106]}, {\"cell\": \"Wilson et al.[7]\", \"bbox\": [0, 110, 52, 120]}, {\"cell\": \"Olmsted County, USA\", \"bbox\": [131, 110, 203, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 110, 276, 120]}, {\"cell\": \"71\", \"bbox\": [314, 110, 324, 120]}, {\"cell\": \"n/a\", \"bbox\": [404, 110, 417, 120]}, {\"cell\": \"Oflazer et al.[8]\", \"bbox\": [1, 124, 52, 134]}, {\"cell\": \"Istanbul, Turkey\", \"bbox\": [131, 124, 183, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 124, 304, 143]}, {\"cell\": \"1.0\", \"bbox\": [314, 124, 325, 134]}, {\"cell\": \"6.0\", \"bbox\": [404, 124, 415, 134]}, {\"cell\": \"Suzuki et al.[9]\", \"bbox\": [0, 147, 51, 157]}, {\"cell\": \"Japan\", \"bbox\": [131, 147, 152, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 147, 299, 157]}, {\"cell\": \"1.3 (in 1991)\", \"bbox\": [314, 147, 355, 157]}, {\"cell\": \"n/a\", \"bbox\": [404, 147, 417, 157]}, {\"cell\": \"9.8 (in 2003)\", \"bbox\": [314, 161, 355, 171]}, {\"cell\": \"n/a\", \"bbox\": [404, 161, 417, 171]}, {\"cell\": \"Tan et al.[10]\", \"bbox\": [1, 175, 46, 185]}, {\"cell\": \"South Australia\", \"bbox\": [131, 175, 181, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 175, 290, 185]}, {\"cell\": \"50.5\", \"bbox\": [314, 175, 329, 185]}, {\"cell\": \"139.3\", \"bbox\": [404, 175, 423, 185]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4071018_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Placebo group (n = 43)Vitamin K1 group (n = 39)P value1
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]1.48 ± 1.50−3.12 ± 1.570.45
[EMPTY_CELL]−1.46 ± 1.51−3.13 ± 1.580.45
[EMPTY_CELL]−1.97 ± 1.59−2.59 ± 1.670.80
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]1.20 ± 3.54−10.87 ± 3.710.02
[EMPTY_CELL]1.36 ± 3.54−11.04 ± 3.710.01
[EMPTY_CELL]2.48 ± 3.74−12.28 ± 3.950.01
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]−0.02 ± 1.16−0.18 ± 1.220.92
[EMPTY_CELL]0.003 ± 1.17−0.21 ± 1.230.89
[EMPTY_CELL]-.039 ± 1.24−0.16 ± 1.310.94
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]5.88 ± 5.40−17.46 ± 5.670.00
[EMPTY_CELL]5.69 ± 5.41−17.25 ± 5.600.00
[EMPTY_CELL]9.90 ± 5.58−21.88 ± 5.890.00
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]−0.05 ± 0.32−0.22 ± .340.76
[EMPTY_CELL]-.05 ± 0.32−0.22 ± 0.340.71
[EMPTY_CELL]−0.06 ± 0.34−0.20 ± 0.360.79
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]−5.42 ± 14.4914.95 ± 15.210.33
[EMPTY_CELL]4.84 ± 14.5014.31 ± 15.230.36
[EMPTY_CELL]−7.10 ± 15.4216.80 ± 16.280.31
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]−0.004 ± 0.002−0.001 ± 0.0020.43
[EMPTY_CELL]−0.004 ± 0.002−0.001 ± 0.0020.44
[EMPTY_CELL]−0.004 ± 0.002−0.00 ± 0.0030.33
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Placebo group (n = 43)\", \"bbox\": [82, 4, 135, 22]}, {\"cell\": \"Vitamin K1 group (n = 39)\", \"bbox\": [145, 4, 196, 22]}, {\"cell\": \"P value1\", \"bbox\": [206, 2, 236, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 26, 43, 35]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 40, 27, 49]}, {\"cell\": \"1.48 ± 1.50\", \"bbox\": [82, 40, 118, 49]}, {\"cell\": \"−3.12 ± 1.57\", \"bbox\": [145, 40, 185, 49]}, {\"cell\": \"0.45\", \"bbox\": [206, 40, 221, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 54, 27, 63]}, {\"cell\": \"−1.46 ± 1.51\", \"bbox\": [82, 54, 122, 63]}, {\"cell\": \"−3.13 ± 1.58\", \"bbox\": [145, 54, 185, 63]}, {\"cell\": \"0.45\", \"bbox\": [206, 54, 221, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 68, 27, 77]}, {\"cell\": \"−1.97 ± 1.59\", \"bbox\": [82, 68, 122, 77]}, {\"cell\": \"−2.59 ± 1.67\", \"bbox\": [145, 68, 185, 77]}, {\"cell\": \"0.80\", \"bbox\": [206, 68, 221, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 82, 56, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 105, 27, 114]}, {\"cell\": \"1.20 ± 3.54\", \"bbox\": [82, 105, 118, 114]}, {\"cell\": \"−10.87 ± 3.71\", \"bbox\": [145, 105, 189, 114]}, {\"cell\": \"0.02\", \"bbox\": [206, 105, 221, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 119, 27, 128]}, {\"cell\": \"1.36 ± 3.54\", \"bbox\": [82, 119, 118, 128]}, {\"cell\": \"−11.04 ± 3.71\", \"bbox\": [145, 119, 189, 128]}, {\"cell\": \"0.01\", \"bbox\": [206, 119, 221, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 133, 27, 142]}, {\"cell\": \"2.48 ± 3.74\", \"bbox\": [82, 133, 118, 142]}, {\"cell\": \"−12.28 ± 3.95\", \"bbox\": [145, 133, 189, 142]}, {\"cell\": \"0.01\", \"bbox\": [206, 133, 221, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 147, 45, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 161, 27, 170]}, {\"cell\": \"−0.02 ± 1.16\", \"bbox\": [82, 161, 122, 170]}, {\"cell\": \"−0.18 ± 1.22\", \"bbox\": [145, 161, 185, 170]}, {\"cell\": \"0.92\", \"bbox\": [206, 161, 221, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 175, 27, 184]}, {\"cell\": \"0.003 ± 1.17\", \"bbox\": [82, 175, 121, 184]}, {\"cell\": \"−0.21 ± 1.23\", \"bbox\": [145, 175, 185, 184]}, {\"cell\": \"0.89\", \"bbox\": [206, 175, 221, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 189, 27, 198]}, {\"cell\": \"-.039 ± 1.24\", \"bbox\": [82, 189, 120, 198]}, {\"cell\": \"−0.16 ± 1.31\", \"bbox\": [145, 189, 185, 198]}, {\"cell\": \"0.94\", \"bbox\": [206, 189, 221, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 203, 72, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 226, 27, 235]}, {\"cell\": \"5.88 ± 5.40\", \"bbox\": [82, 226, 118, 235]}, {\"cell\": \"−17.46 ± 5.67\", \"bbox\": [145, 226, 189, 235]}, {\"cell\": \"0.00\", \"bbox\": [206, 226, 221, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 240, 27, 249]}, {\"cell\": \"5.69 ± 5.41\", \"bbox\": [82, 240, 118, 249]}, {\"cell\": \"−17.25 ± 5.60\", \"bbox\": [145, 240, 189, 249]}, {\"cell\": \"0.00\", \"bbox\": [206, 240, 221, 249]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 254, 27, 263]}, {\"cell\": \"9.90 ± 5.58\", \"bbox\": [82, 254, 118, 263]}, {\"cell\": \"−21.88 ± 5.89\", \"bbox\": [145, 254, 189, 263]}, {\"cell\": \"0.00\", \"bbox\": [206, 254, 221, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 268, 32, 277]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 282, 27, 291]}, {\"cell\": \"−0.05 ± 0.32\", \"bbox\": [82, 282, 122, 291]}, {\"cell\": \"−0.22 ± .34\", \"bbox\": [145, 282, 181, 291]}, {\"cell\": \"0.76\", \"bbox\": [206, 282, 221, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 296, 27, 305]}, {\"cell\": \"-.05 ± 0.32\", \"bbox\": [82, 296, 116, 305]}, {\"cell\": \"−0.22 ± 0.34\", \"bbox\": [145, 296, 185, 305]}, {\"cell\": \"0.71\", \"bbox\": [206, 296, 221, 305]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 310, 27, 319]}, {\"cell\": \"−0.06 ± 0.34\", \"bbox\": [82, 310, 122, 319]}, {\"cell\": \"−0.20 ± 0.36\", \"bbox\": [145, 310, 185, 319]}, {\"cell\": \"0.79\", \"bbox\": [206, 310, 221, 319]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 324, 30, 333]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 338, 27, 347]}, {\"cell\": \"−5.42 ± 14.49\", \"bbox\": [82, 338, 126, 347]}, {\"cell\": \"14.95 ± 15.21\", \"bbox\": [145, 338, 188, 347]}, {\"cell\": \"0.33\", \"bbox\": [206, 338, 221, 347]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 352, 27, 361]}, {\"cell\": \"4.84 ± 14.50\", \"bbox\": [82, 352, 121, 361]}, {\"cell\": \"14.31 ± 15.23\", \"bbox\": [145, 352, 188, 361]}, {\"cell\": \"0.36\", \"bbox\": [206, 352, 221, 361]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 366, 27, 375]}, {\"cell\": \"−7.10 ± 15.42\", \"bbox\": [82, 366, 126, 375]}, {\"cell\": \"16.80 ± 16.28\", \"bbox\": [145, 366, 188, 375]}, {\"cell\": \"0.31\", \"bbox\": [206, 366, 221, 375]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 380, 25, 389]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 394, 27, 403]}, {\"cell\": \"−0.004 ± 0.002\", \"bbox\": [82, 394, 130, 403]}, {\"cell\": \"−0.001 ± 0.002\", \"bbox\": [145, 394, 193, 403]}, {\"cell\": \"0.43\", \"bbox\": [206, 394, 221, 403]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 408, 27, 417]}, {\"cell\": \"−0.004 ± 0.002\", \"bbox\": [82, 408, 130, 417]}, {\"cell\": \"−0.001 ± 0.002\", \"bbox\": [145, 408, 193, 417]}, {\"cell\": \"0.44\", \"bbox\": [206, 408, 221, 417]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 422, 27, 431]}, {\"cell\": \"−0.004 ± 0.002\", \"bbox\": [82, 422, 130, 431]}, {\"cell\": \"−0.00 ± 0.003\", \"bbox\": [145, 422, 189, 431]}, {\"cell\": \"0.33\", \"bbox\": [206, 422, 221, 431]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4316808_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
TraitEnvironment[EMPTY_CELL]Parents[EMPTY_CELL][EMPTY_CELL]RILs[EMPTY_CELL]
PMB0225PHA1037Ppara.MeanbRangePRILa
[EMPTY_CELL]LD09−0.99 ± 3.28[EMPTY_CELL][EMPTY_CELL]2.45 ± 7.69−16.21 – 45.08**
[EMPTY_CELL]SD09−0.05 ± 1.4422.29 ± 6.18**3.53 ± 6.17−20.83 – 26.37**
[EMPTY_CELL]LD10−0.60 ± 0.30[EMPTY_CELL][EMPTY_CELL]2.77 ± 7.30−21.95 – 39.91**
[EMPTY_CELL]SD10−1.17 ± 5.3727.84 ± 4.81**1.21 ± 5.53−10.44 – 28.96**
[EMPTY_CELL]LD111.01 ± 1.35[EMPTY_CELL][EMPTY_CELL]3.28 ± 7.75−26.57 – 31.88**
[EMPTY_CELL]LD092.25 ± 2.63[EMPTY_CELL][EMPTY_CELL]11.82 ± 19.220.00 - 95.00**
[EMPTY_CELL]SD097.15 ± 10.1268.70 ± 22.23**24.89 ± 37.87−53.33 - 383.33**
[EMPTY_CELL]LD1010.19 ± 9.17[EMPTY_CELL][EMPTY_CELL]13.37 ± 21.380.00 – 166.67**
[EMPTY_CELL]SD103.33 ± 4.3545.83 ± 9.48**8.96 ± 16.08−28.21 - 105.00**
[EMPTY_CELL]LD1117.78 ± 1.92[EMPTY_CELL][EMPTY_CELL]19.65 ± 24.870.00 - 150.00**
[EMPTY_CELL]LD0995.04 ± 4.18[EMPTY_CELL][EMPTY_CELL]84.41 ± 25.580.00 – 100.00**
[EMPTY_CELL]SD0995.00 ± 7.0724.44 ± 19.44**52.85 ± 31.780.00 – 100.00**
[EMPTY_CELL]LD1077.78 ± 6.29[EMPTY_CELL][EMPTY_CELL]73.12 ± 28.190.00 – 100.00*
[EMPTY_CELL]SD10100.00 ± 0.0014.00 ± 0.00**86.93 ± 27.180.00 – 100.00**
[EMPTY_CELL]LD1197.00 ± 5.24[EMPTY_CELL][EMPTY_CELL]77.42 ± 29.990.00 – 100.00**
\", \"cells\": [{\"cell\": \"Trait\", \"bbox\": [1, 4, 18, 13]}, {\"cell\": \"Environment\", \"bbox\": [136, 4, 183, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Parents\", \"bbox\": [251, 4, 279, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"RILs\", \"bbox\": [408, 4, 423, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"PMB0225\", \"bbox\": [204, 17, 238, 26]}, {\"cell\": \"PHA1037\", \"bbox\": [265, 17, 298, 26]}, {\"cell\": \"Ppara.\", \"bbox\": [318, 15, 333, 27]}, {\"cell\": \"Meanb\", \"bbox\": [357, 15, 381, 26]}, {\"cell\": \"Range\", \"bbox\": [419, 17, 443, 26]}, {\"cell\": \"PRILa\", \"bbox\": [470, 15, 484, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 30, 103, 40]}, {\"cell\": \"LD09\", \"bbox\": [136, 30, 155, 40]}, {\"cell\": \"−0.99 ± 3.28\", \"bbox\": [200, 30, 241, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2.45 ± 7.69\", \"bbox\": [350, 30, 388, 40]}, {\"cell\": \"−16.21 – 45.08\", \"bbox\": [407, 30, 456, 40]}, {\"cell\": \"**\", \"bbox\": [470, 30, 478, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"SD09\", \"bbox\": [136, 44, 155, 54]}, {\"cell\": \"−0.05 ± 1.44\", \"bbox\": [200, 44, 241, 54]}, {\"cell\": \"22.29 ± 6.18\", \"bbox\": [259, 44, 300, 54]}, {\"cell\": \"**\", \"bbox\": [318, 44, 326, 54]}, {\"cell\": \"3.53 ± 6.17\", \"bbox\": [350, 44, 388, 54]}, {\"cell\": \"−20.83 – 26.37\", \"bbox\": [407, 44, 456, 54]}, {\"cell\": \"**\", \"bbox\": [470, 44, 478, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"LD10\", \"bbox\": [136, 58, 155, 68]}, {\"cell\": \"−0.60 ± 0.30\", \"bbox\": [200, 58, 241, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2.77 ± 7.30\", \"bbox\": [350, 58, 388, 68]}, {\"cell\": \"−21.95 – 39.91\", \"bbox\": [407, 58, 456, 68]}, {\"cell\": \"**\", \"bbox\": [470, 58, 478, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"SD10\", \"bbox\": [136, 72, 155, 82]}, {\"cell\": \"−1.17 ± 5.37\", \"bbox\": [200, 72, 241, 82]}, {\"cell\": \"27.84 ± 4.81\", \"bbox\": [259, 72, 300, 82]}, {\"cell\": \"**\", \"bbox\": [318, 72, 326, 82]}, {\"cell\": \"1.21 ± 5.53\", \"bbox\": [350, 72, 388, 82]}, {\"cell\": \"−10.44 – 28.96\", \"bbox\": [407, 72, 456, 82]}, {\"cell\": \"**\", \"bbox\": [470, 72, 478, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"LD11\", \"bbox\": [136, 86, 155, 96]}, {\"cell\": \"1.01 ± 1.35\", \"bbox\": [204, 86, 241, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3.28 ± 7.75\", \"bbox\": [350, 86, 388, 96]}, {\"cell\": \"−26.57 – 31.88\", \"bbox\": [407, 86, 456, 96]}, {\"cell\": \"**\", \"bbox\": [470, 86, 478, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 100, 85, 110]}, {\"cell\": \"LD09\", \"bbox\": [136, 100, 155, 110]}, {\"cell\": \"2.25 ± 2.63\", \"bbox\": [204, 100, 241, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"11.82 ± 19.22\", \"bbox\": [347, 100, 391, 110]}, {\"cell\": \"0.00 - 95.00\", \"bbox\": [418, 100, 456, 110]}, {\"cell\": \"**\", \"bbox\": [470, 100, 478, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"SD09\", \"bbox\": [136, 114, 155, 124]}, {\"cell\": \"7.15 ± 10.12\", \"bbox\": [204, 114, 245, 124]}, {\"cell\": \"68.70 ± 22.23\", \"bbox\": [259, 114, 304, 124]}, {\"cell\": \"**\", \"bbox\": [318, 114, 326, 124]}, {\"cell\": \"24.89 ± 37.87\", \"bbox\": [347, 114, 391, 124]}, {\"cell\": \"−53.33 - 383.33\", \"bbox\": [405, 114, 456, 124]}, {\"cell\": \"**\", \"bbox\": [470, 114, 478, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"LD10\", \"bbox\": [136, 128, 155, 138]}, {\"cell\": \"10.19 ± 9.17\", \"bbox\": [200, 128, 241, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"13.37 ± 21.38\", \"bbox\": [347, 128, 391, 138]}, {\"cell\": \"0.00 – 166.67\", \"bbox\": [412, 128, 456, 138]}, {\"cell\": \"**\", \"bbox\": [470, 128, 478, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"SD10\", \"bbox\": [136, 142, 155, 152]}, {\"cell\": \"3.33 ± 4.35\", \"bbox\": [204, 142, 241, 152]}, {\"cell\": \"45.83 ± 9.48\", \"bbox\": [259, 142, 300, 152]}, {\"cell\": \"**\", \"bbox\": [318, 142, 326, 152]}, {\"cell\": \"8.96 ± 16.08\", \"bbox\": [350, 142, 391, 152]}, {\"cell\": \"−28.21 - 105.00\", \"bbox\": [405, 142, 456, 152]}, {\"cell\": \"**\", \"bbox\": [470, 142, 478, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"LD11\", \"bbox\": [136, 156, 155, 166]}, {\"cell\": \"17.78 ± 1.92\", \"bbox\": [200, 156, 241, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"19.65 ± 24.87\", \"bbox\": [347, 156, 391, 166]}, {\"cell\": \"0.00 - 150.00\", \"bbox\": [414, 156, 456, 166]}, {\"cell\": \"**\", \"bbox\": [470, 156, 478, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 170, 123, 180]}, {\"cell\": \"LD09\", \"bbox\": [136, 170, 155, 180]}, {\"cell\": \"95.04 ± 4.18\", \"bbox\": [200, 170, 241, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"84.41 ± 25.58\", \"bbox\": [347, 170, 391, 180]}, {\"cell\": \"0.00 – 100.00\", \"bbox\": [412, 170, 456, 180]}, {\"cell\": \"**\", \"bbox\": [470, 170, 478, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"SD09\", \"bbox\": [136, 184, 155, 194]}, {\"cell\": \"95.00 ± 7.07\", \"bbox\": [200, 184, 241, 194]}, {\"cell\": \"24.44 ± 19.44\", \"bbox\": [259, 184, 304, 194]}, {\"cell\": \"**\", \"bbox\": [318, 184, 326, 194]}, {\"cell\": \"52.85 ± 31.78\", \"bbox\": [347, 184, 391, 194]}, {\"cell\": \"0.00 – 100.00\", \"bbox\": [412, 184, 456, 194]}, {\"cell\": \"**\", \"bbox\": [470, 184, 478, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"LD10\", \"bbox\": [136, 198, 155, 208]}, {\"cell\": \"77.78 ± 6.29\", \"bbox\": [200, 198, 241, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"73.12 ± 28.19\", \"bbox\": [347, 198, 391, 208]}, {\"cell\": \"0.00 – 100.00\", \"bbox\": [412, 198, 456, 208]}, {\"cell\": \"*\", \"bbox\": [470, 198, 475, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"SD10\", \"bbox\": [136, 212, 155, 222]}, {\"cell\": \"100.00 ± 0.00\", \"bbox\": [197, 212, 241, 222]}, {\"cell\": \"14.00 ± 0.00\", \"bbox\": [259, 212, 300, 222]}, {\"cell\": \"**\", \"bbox\": [318, 212, 326, 222]}, {\"cell\": \"86.93 ± 27.18\", \"bbox\": [347, 212, 391, 222]}, {\"cell\": \"0.00 – 100.00\", \"bbox\": [412, 212, 456, 222]}, {\"cell\": \"**\", \"bbox\": [470, 212, 478, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"LD11\", \"bbox\": [136, 226, 155, 236]}, {\"cell\": \"97.00 ± 5.24\", \"bbox\": [200, 226, 241, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"77.42 ± 29.99\", \"bbox\": [347, 226, 391, 236]}, {\"cell\": \"0.00 – 100.00\", \"bbox\": [412, 226, 456, 236]}, {\"cell\": \"**\", \"bbox\": [470, 226, 478, 236]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3490973_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Non-mesenchymal (n=110)Mesenchymal (n=33)P
[EMPTY_CELL]60 (range, 25-78)56 (range, 36-75)0.061
[EMPTY_CELL]79 (72%)19 (58%)0.095
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.041
[EMPTY_CELL]2 (2%)0[EMPTY_CELL]
[EMPTY_CELL]41 (37%)14 (42%)[EMPTY_CELL]
[EMPTY_CELL]46 (42%)7 (21%)[EMPTY_CELL]
[EMPTY_CELL]21 (19%)12 (36%)[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.012
[EMPTY_CELL]22 (20%)1 (3%)[EMPTY_CELL]
[EMPTY_CELL]44 (40%)11 (33%)[EMPTY_CELL]
[EMPTY_CELL]29 (26%)21 (64%)[EMPTY_CELL]
[EMPTY_CELL]11 (10%)0[EMPTY_CELL]
[EMPTY_CELL]4 (4%)0[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.001
[EMPTY_CELL]41 (37%)1 (3%)[EMPTY_CELL]
[EMPTY_CELL]59 (54%)30 (91%)[EMPTY_CELL]
[EMPTY_CELL]10 (9%)2 (6%)[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.460
[EMPTY_CELL]39 (35%)12 (36%)[EMPTY_CELL]
[EMPTY_CELL]71 (65%)21 (64%)[EMPTY_CELL]
[EMPTY_CELL]1 (1%)2 (6%)0.001
[EMPTY_CELL]24 (22%)2 (6%)0.035
[EMPTY_CELL]74 (67%)20 (61%)0.961
[EMPTY_CELL]41 (37%)12 (36%)0.767
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Non-mesenchymal (n=110)\", \"bbox\": [165, 6, 281, 16]}, {\"cell\": \"Mesenchymal (n=33)\", \"bbox\": [288, 6, 380, 16]}, {\"cell\": \"P\", \"bbox\": [438, 6, 446, 16]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 23, 79, 34]}, {\"cell\": \"60 (range, 25-78)\", \"bbox\": [187, 23, 259, 34]}, {\"cell\": \"56 (range, 36-75)\", \"bbox\": [298, 23, 370, 34]}, {\"cell\": \"0.061\", \"bbox\": [429, 23, 454, 34]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 40, 56, 51]}, {\"cell\": \"79 (72%)\", \"bbox\": [203, 40, 243, 51]}, {\"cell\": \"19 (58%)\", \"bbox\": [314, 40, 354, 51]}, {\"cell\": \"0.095\", \"bbox\": [429, 40, 454, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 57, 151, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.041\", \"bbox\": [429, 63, 454, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 86, 37, 97]}, {\"cell\": \"2 (2%)\", \"bbox\": [208, 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\"bbox\": [9, 182, 80, 194]}, {\"cell\": \"22 (20%)\", \"bbox\": [203, 182, 243, 194]}, {\"cell\": \"1 (3%)\", \"bbox\": [319, 182, 349, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 199, 124, 211]}, {\"cell\": \"44 (40%)\", \"bbox\": [203, 199, 243, 211]}, {\"cell\": \"11 (33%)\", \"bbox\": [314, 199, 354, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 216, 72, 227]}, {\"cell\": \"29 (26%)\", \"bbox\": [203, 216, 243, 227]}, {\"cell\": \"21 (64%)\", \"bbox\": [314, 216, 354, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 233, 51, 244]}, {\"cell\": \"11 (10%)\", \"bbox\": [203, 233, 243, 244]}, {\"cell\": \"0\", \"bbox\": [331, 233, 338, 244]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 250, 97, 261]}, {\"cell\": \"4 (4%)\", \"bbox\": [208, 250, 238, 261]}, {\"cell\": \"0\", \"bbox\": [331, 250, 338, 261]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 264, 89, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.001\", \"bbox\": [429, 267, 454, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 284, 48, 295]}, {\"cell\": \"41 (37%)\", \"bbox\": [203, 284, 243, 295]}, {\"cell\": \"1 (3%)\", \"bbox\": [319, 284, 349, 295]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 301, 40, 312]}, {\"cell\": \"59 (54%)\", \"bbox\": [203, 301, 243, 312]}, {\"cell\": \"30 (91%)\", \"bbox\": [314, 301, 354, 312]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 318, 105, 329]}, {\"cell\": \"10 (9%)\", \"bbox\": [206, 318, 240, 329]}, {\"cell\": \"2 (6%)\", \"bbox\": [319, 318, 349, 329]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 335, 55, 346]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.460\", \"bbox\": [429, 335, 454, 346]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 352, 34, 363]}, {\"cell\": \"39 (35%)\", \"bbox\": [203, 352, 243, 363]}, {\"cell\": \"12 (36%)\", \"bbox\": [314, 352, 354, 363]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 369, 44, 380]}, {\"cell\": \"71 (65%)\", \"bbox\": [203, 369, 243, 380]}, {\"cell\": \"21 (64%)\", \"bbox\": [314, 369, 354, 380]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 386, 66, 397]}, {\"cell\": \"1 (1%)\", \"bbox\": [208, 386, 238, 397]}, {\"cell\": \"2 (6%)\", \"bbox\": [319, 386, 349, 397]}, {\"cell\": \"0.001\", \"bbox\": [429, 386, 454, 397]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 403, 44, 414]}, {\"cell\": \"24 (22%)\", \"bbox\": [203, 403, 243, 414]}, {\"cell\": \"2 (6%)\", \"bbox\": [319, 403, 349, 414]}, {\"cell\": \"0.035\", \"bbox\": [429, 403, 454, 414]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 420, 109, 431]}, {\"cell\": \"74 (67%)\", \"bbox\": [203, 420, 243, 431]}, {\"cell\": \"20 (61%)\", \"bbox\": [314, 420, 354, 431]}, {\"cell\": \"0.961\", \"bbox\": [429, 420, 454, 431]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 436, 83, 448]}, {\"cell\": \"41 (37%)\", \"bbox\": [203, 436, 243, 448]}, {\"cell\": \"12 (36%)\", \"bbox\": [314, 436, 354, 448]}, {\"cell\": \"0.767\", \"bbox\": [429, 436, 454, 448]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5630413_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]PM exposure in preceding two decades2001 PM exposure
Outcome/covariatesObserved PM10Imputed PM10Imputed PM2.5PM10PM2.5
YM
PM (weather/season only)a3.5 (−2.5 to 9.8)5.2 (−0.3 to 11.0)0.4 (−3.6 to 4.6)−0.2 (−0.8 to 0.4)[EMPTY_CELL]
Add age, sex, race2.3 (−3.5 to 8.6)3.2 (−2.4 to 9.1)−0.8 (−4.7 to 3.2)0.0 (−0.5 to 0.5)[EMPTY_CELL]
All covariatesb1.6 (−3.8 to 7.3)3.1 (−1.9 to 8.3)−1.4 (−5.1 to 2.4)0.0 (−0.5 to 0.5)[EMPTY_CELL]
C1
PM (weather/season only)a2.7 (−2.4 to 8.1)0.7 (−5.0 to 6.7)−0.2 (−3.0 to 2.6)−0.2 (−0.6 to 0.3)[EMPTY_CELL]
Add age, sex, race2.9 (−1.6 to 7.7)2.6 (−2.2 to 7.7)1.7 (−0.9 to 4.3)−0.2 (−0.5 to 0.2)[EMPTY_CELL]
All covariatesb2.9 (−1.8 to 7.7)2.6 (−2.3 to 7.8)1.5 (−1.0 to 4.1)−0.2 (−0.5 to 0.2)[EMPTY_CELL]
C2
PM (weather/season only)a−1.8 (−6.9 to 3.5)−3.9 (−9.6 to 2.1)−3.7 (−8.0 to 0.8)0.3 (−0.3 to 0.8)[EMPTY_CELL]
Add age, sex, race−3.3 (−8.0 to 1.6)−1.4 (−6.5 to 3.9)−0.7 (−4.6 to 3.3)0.1 (−0.4 to 0.6)[EMPTY_CELL]
All covariatesb−3.6 (−8.2 to 1.3)−1.5 (−6.5 to 3.8)−1.2 (−5.0 to 2.7)0.1 (−0.3 to 0.5)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"PM exposure in preceding two decades\", \"bbox\": [172, 3, 288, 13]}, {\"cell\": \"2001 PM exposure\", \"bbox\": [418, 3, 474, 13]}, {\"cell\": \"Outcome/covariates\", \"bbox\": [3, 15, 63, 24]}, {\"cell\": \"Observed PM10\", \"bbox\": [120, 15, 166, 25]}, {\"cell\": \"Imputed PM10\", \"bbox\": [209, 15, 251, 25]}, {\"cell\": \"Imputed PM2.5\", \"bbox\": [295, 15, 339, 25]}, {\"cell\": \"PM10\", \"bbox\": [393, 15, 410, 25]}, {\"cell\": \"PM2.5\", \"bbox\": [479, 15, 498, 25]}, {\"cell\": \"YM\", \"bbox\": [3, 26, 15, 36]}, {\"cell\": \"PM (weather/season only)a\", \"bbox\": [3, 35, 83, 45]}, {\"cell\": \"3.5 (−2.5 to 9.8)\", \"bbox\": [122, 36, 169, 45]}, {\"cell\": \"5.2 (−0.3 to 11.0)\", \"bbox\": [206, 36, 257, 45]}, {\"cell\": \"0.4 (−3.6 to 4.6)\", \"bbox\": [295, 36, 342, 45]}, {\"cell\": \"−0.2 (−0.8 to 0.4)\", \"bbox\": [376, 36, 427, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [461, 36, 516, 45]}, {\"cell\": \"Add age, sex, race\", \"bbox\": [2, 45, 58, 55]}, {\"cell\": \"2.3 (−3.5 to 8.6)\", \"bbox\": [122, 45, 169, 55]}, {\"cell\": \"3.2 (−2.4 to 9.1)\", \"bbox\": [206, 45, 254, 55]}, {\"cell\": \"−0.8 (−4.7 to 3.2)\", \"bbox\": [291, 45, 342, 55]}, {\"cell\": \"0.0 (−0.5 to 0.5)\", \"bbox\": [380, 45, 427, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [461, 45, 512, 55]}, {\"cell\": \"All covariatesb\", \"bbox\": [2, 54, 47, 64]}, {\"cell\": \"1.6 (−3.8 to 7.3)\", \"bbox\": [122, 55, 169, 64]}, {\"cell\": \"3.1 (−1.9 to 8.3)\", \"bbox\": [206, 55, 254, 64]}, {\"cell\": \"−1.4 (−5.1 to 2.4)\", \"bbox\": [291, 55, 342, 64]}, {\"cell\": \"0.0 (−0.5 to 0.5)\", \"bbox\": [380, 55, 427, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [461, 55, 512, 64]}, {\"cell\": \"C1\", \"bbox\": [2, 64, 11, 75]}, {\"cell\": \"PM (weather/season only)a\", \"bbox\": [3, 72, 83, 83]}, {\"cell\": \"2.7 (−2.4 to 8.1)\", \"bbox\": [122, 73, 169, 83]}, {\"cell\": \"0.7 (−5.0 to 6.7)\", \"bbox\": [206, 73, 254, 83]}, {\"cell\": \"−0.2 (−3.0 to 2.6)\", \"bbox\": [291, 73, 342, 83]}, {\"cell\": \"−0.2 (−0.6 to 0.3)\", \"bbox\": [376, 73, 427, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [461, 73, 512, 83]}, {\"cell\": \"Add age, sex, race\", \"bbox\": [2, 83, 58, 92]}, {\"cell\": \"2.9 (−1.6 to 7.7)\", \"bbox\": [122, 83, 169, 92]}, {\"cell\": \"2.6 (−2.2 to 7.7)\", \"bbox\": [206, 83, 254, 92]}, {\"cell\": \"1.7 (−0.9 to 4.3)\", \"bbox\": [295, 83, 342, 92]}, {\"cell\": \"−0.2 (−0.5 to 0.2)\", \"bbox\": [376, 83, 427, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [465, 83, 512, 92]}, {\"cell\": \"All covariatesb\", \"bbox\": [2, 91, 47, 102]}, {\"cell\": \"2.9 (−1.8 to 7.7)\", \"bbox\": [122, 92, 169, 102]}, {\"cell\": \"2.6 (−2.3 to 7.8)\", \"bbox\": [206, 92, 254, 102]}, {\"cell\": \"1.5 (−1.0 to 4.1)\", \"bbox\": [295, 92, 342, 102]}, {\"cell\": \"−0.2 (−0.5 to 0.2)\", \"bbox\": [376, 92, 427, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [465, 92, 512, 102]}, {\"cell\": \"C2\", \"bbox\": [2, 102, 11, 112]}, {\"cell\": \"PM (weather/season only)a\", \"bbox\": [3, 110, 83, 120]}, {\"cell\": \"−1.8 (−6.9 to 3.5)\", \"bbox\": [118, 111, 169, 120]}, {\"cell\": \"−3.9 (−9.6 to 2.1)\", \"bbox\": [202, 111, 254, 120]}, {\"cell\": \"−3.7 (−8.0 to 0.8)\", \"bbox\": [291, 111, 342, 120]}, {\"cell\": \"0.3 (−0.3 to 0.8)\", \"bbox\": [380, 111, 427, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [465, 111, 512, 120]}, {\"cell\": \"Add age, sex, race\", \"bbox\": [2, 120, 58, 130]}, {\"cell\": \"−3.3 (−8.0 to 1.6)\", \"bbox\": [118, 120, 169, 130]}, {\"cell\": \"−1.4 (−6.5 to 3.9)\", \"bbox\": [202, 120, 254, 130]}, {\"cell\": \"−0.7 (−4.6 to 3.3)\", \"bbox\": [291, 120, 342, 130]}, {\"cell\": \"0.1 (−0.4 to 0.6)\", \"bbox\": [380, 120, 427, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [465, 120, 512, 130]}, {\"cell\": \"All covariatesb\", \"bbox\": [2, 129, 47, 139]}, {\"cell\": \"−3.6 (−8.2 to 1.3)\", \"bbox\": [118, 130, 169, 139]}, {\"cell\": \"−1.5 (−6.5 to 3.8)\", \"bbox\": [202, 130, 254, 139]}, {\"cell\": \"−1.2 (−5.0 to 2.7)\", \"bbox\": [291, 130, 342, 139]}, {\"cell\": \"0.1 (−0.3 to 0.5)\", \"bbox\": [380, 130, 427, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [465, 130, 512, 139]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3114821_004_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariableDMT> 0Moderate/high needfor treatmentPoor self reported oral health
Wealth index:% (n)[EMPTY_CELL]% (n)
1st poorest quartile18.2 (84)[EMPTY_CELL]43.3 (204)
2nd poor quartile20.4 (159)[EMPTY_CELL]44.6 (348)
3rd poor quartile29.0 (20)[EMPTY_CELL]59.4 (41)
4th least poor quartile18.4(80)[EMPTY_CELL]45.5 (198)
Mother's education:[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Low20.1 (157)[EMPTY_CELL]49.0 (382)*
High19.3 (186)[EMPTY_CELL]42.0 (409)
Father's education:[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Low20.1 (146)[EMPTY_CELL]46.0 (334)
High19.3 (197)[EMPTY_CELL]44.8 (457)
Sex:[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Boys17.5 (152)[EMPTY_CELL]48.4 (420)*
Girls21.8 (191)*[EMPTY_CELL]42.3 (371)
Age:[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
10 - 14 years18.3 (217)[EMPTY_CELL]46.2 (547)
15 - 19 years22.5 (126)*[EMPTY_CELL]43.5 (244)
Residence:[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Urban17.9 (150)[EMPTY_CELL]48.5 (406)**
Rural21.3 (193)*[EMPTY_CELL]42.4 (385)
Sugar consumption:[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Low intake19.4 (155)[EMPTY_CELL]42.2 (337)
High intake19.9 (188)[EMPTY_CELL]47.9 (454)*
Tooth brushing:[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Never or seldom19.1(73)[EMPTY_CELL]44.5 (170)
Once a day19.3 (152)[EMPTY_CELL]48.4 (382)
More than once a day20.6 (118)[EMPTY_CELL]41.6 (239)*
Dental attendance:[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
No17.5 (273)[EMPTY_CELL]44.8 (700)
Yes38.5 (70)**[EMPTY_CELL]50.0 (91)
Use of F- toothpaste[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
No19.3 (110)[EMPTY_CELL]51.6 (294)**
Yes19.8 (233)[EMPTY_CELL]42.3 (497)
\", \"cells\": [{\"cell\": \"Variable\", \"bbox\": [11, 3, 42, 13]}, {\"cell\": \"DMT> 0\", \"bbox\": [143, 3, 172, 13]}, {\"cell\": \"Moderate/high needfor treatment\", \"bbox\": [251, 3, 326, 23]}, {\"cell\": \"Poor self reported oral health\", \"bbox\": [368, 3, 475, 13]}, {\"cell\": \"Wealth index:\", \"bbox\": [11, 41, 56, 51]}, {\"cell\": \"% (n)\", \"bbox\": [143, 41, 162, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [251, 41, 269, 51]}, {\"cell\": \"% (n)\", \"bbox\": [368, 41, 387, 51]}, {\"cell\": \"1st poorest quartile\", \"bbox\": [11, 55, 77, 65]}, {\"cell\": \"18.2 (84)\", \"bbox\": [142, 55, 173, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 55, 277, 65]}, {\"cell\": \"43.3 (204)\", \"bbox\": [368, 55, 403, 65]}, {\"cell\": \"2nd poor quartile\", \"bbox\": [11, 69, 71, 79]}, {\"cell\": \"20.4 (159)\", \"bbox\": [142, 69, 177, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 69, 281, 79]}, {\"cell\": \"44.6 (348)\", \"bbox\": [368, 69, 403, 79]}, {\"cell\": \"3rd poor quartile\", \"bbox\": [11, 83, 69, 93]}, {\"cell\": \"29.0 (20)\", \"bbox\": [142, 83, 173, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 83, 284, 93]}, {\"cell\": \"59.4 (41)\", \"bbox\": [368, 83, 398, 93]}, {\"cell\": \"4th least poor quartile\", \"bbox\": [11, 97, 86, 107]}, {\"cell\": \"18.4(80)\", \"bbox\": [142, 97, 171, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 97, 277, 107]}, {\"cell\": \"45.5 (198)\", \"bbox\": [368, 97, 402, 107]}, {\"cell\": \"Mother's education:\", \"bbox\": [11, 111, 76, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Low\", \"bbox\": [11, 125, 27, 135]}, {\"cell\": \"20.1 (157)\", \"bbox\": [142, 125, 177, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 125, 281, 135]}, {\"cell\": \"49.0 (382)*\", \"bbox\": [368, 125, 406, 135]}, {\"cell\": \"High\", \"bbox\": [11, 139, 29, 149]}, {\"cell\": \"19.3 (186)\", \"bbox\": [142, 139, 177, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 139, 285, 149]}, {\"cell\": \"42.0 (409)\", \"bbox\": [368, 139, 403, 149]}, {\"cell\": \"Father's education:\", \"bbox\": [11, 153, 73, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Low\", \"bbox\": [11, 167, 27, 177]}, {\"cell\": \"20.1 (146)\", \"bbox\": [142, 167, 177, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 167, 281, 177]}, {\"cell\": \"46.0 (334)\", \"bbox\": [368, 167, 403, 177]}, {\"cell\": \"High\", \"bbox\": [11, 181, 28, 191]}, {\"cell\": \"19.3 (197)\", \"bbox\": [142, 181, 177, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 181, 285, 191]}, {\"cell\": \"44.8 (457)\", \"bbox\": [368, 181, 403, 191]}, {\"cell\": \"Sex:\", \"bbox\": [11, 195, 25, 205]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Boys\", \"bbox\": [11, 209, 28, 219]}, {\"cell\": \"17.5 (152)\", \"bbox\": [142, 209, 177, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [251, 209, 277, 219]}, {\"cell\": \"48.4 (420)*\", \"bbox\": [368, 209, 406, 219]}, {\"cell\": \"Girls\", \"bbox\": [11, 223, 27, 233]}, {\"cell\": \"21.8 (191)*\", \"bbox\": [143, 223, 180, 233]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [251, 223, 288, 233]}, {\"cell\": \"42.3 (371)\", \"bbox\": [368, 223, 403, 233]}, {\"cell\": \"Age:\", \"bbox\": [11, 237, 27, 247]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"10 - 14 years\", \"bbox\": [11, 251, 54, 261]}, {\"cell\": \"18.3 (217)\", \"bbox\": [142, 251, 177, 261]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 251, 281, 261]}, {\"cell\": \"46.2 (547)\", \"bbox\": [368, 251, 403, 261]}, {\"cell\": \"15 - 19 years\", \"bbox\": [11, 265, 54, 275]}, {\"cell\": \"22.5 (126)*\", \"bbox\": [142, 265, 180, 275]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 265, 284, 275]}, {\"cell\": \"43.5 (244)\", \"bbox\": [368, 265, 403, 275]}, {\"cell\": \"Residence:\", \"bbox\": [11, 279, 46, 289]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Urban\", \"bbox\": [11, 293, 33, 303]}, {\"cell\": \"17.9 (150)\", \"bbox\": [142, 293, 177, 303]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [251, 293, 277, 303]}, {\"cell\": \"48.5 (406)**\", \"bbox\": [368, 293, 409, 303]}, {\"cell\": \"Rural\", \"bbox\": [11, 307, 30, 317]}, {\"cell\": \"21.3 (193)*\", \"bbox\": [143, 307, 180, 317]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [251, 307, 285, 317]}, {\"cell\": \"42.4 (385)\", \"bbox\": [368, 307, 403, 317]}, {\"cell\": \"Sugar consumption:\", \"bbox\": [11, 321, 77, 331]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Low intake\", \"bbox\": [11, 335, 49, 345]}, {\"cell\": \"19.4 (155)\", \"bbox\": [142, 335, 177, 345]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 335, 281, 345]}, {\"cell\": \"42.2 (337)\", \"bbox\": [368, 335, 403, 345]}, {\"cell\": \"High intake\", \"bbox\": [11, 349, 51, 359]}, {\"cell\": \"19.9 (188)\", \"bbox\": [142, 349, 177, 359]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 349, 281, 359]}, {\"cell\": \"47.9 (454)*\", \"bbox\": [368, 349, 406, 359]}, {\"cell\": \"Tooth brushing:\", \"bbox\": [11, 363, 63, 373]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Never or seldom\", \"bbox\": [11, 377, 67, 387]}, {\"cell\": \"19.1(73)\", \"bbox\": [142, 377, 171, 387]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 377, 277, 387]}, {\"cell\": \"44.5 (170)\", \"bbox\": [368, 377, 403, 387]}, {\"cell\": \"Once a day\", \"bbox\": [11, 391, 49, 401]}, {\"cell\": \"19.3 (152)\", \"bbox\": [142, 391, 177, 401]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 391, 281, 401]}, {\"cell\": \"48.4 (382)\", \"bbox\": [368, 391, 402, 401]}, {\"cell\": \"More than once a day\", \"bbox\": [11, 405, 84, 415]}, {\"cell\": \"20.6 (118)\", \"bbox\": [142, 405, 177, 415]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 405, 281, 415]}, {\"cell\": \"41.6 (239)*\", \"bbox\": [368, 405, 406, 415]}, {\"cell\": \"Dental attendance:\", \"bbox\": [11, 419, 74, 429]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No\", \"bbox\": [11, 433, 22, 443]}, {\"cell\": \"17.5 (273)\", \"bbox\": [143, 433, 177, 443]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [251, 433, 281, 443]}, {\"cell\": \"44.8 (700)\", \"bbox\": [368, 433, 403, 443]}, {\"cell\": \"Yes\", \"bbox\": [11, 447, 24, 457]}, {\"cell\": \"38.5 (70)**\", \"bbox\": [142, 447, 179, 457]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 447, 288, 457]}, {\"cell\": \"50.0 (91)\", \"bbox\": [368, 447, 398, 457]}, {\"cell\": \"Use of F- toothpaste\", \"bbox\": [11, 461, 76, 471]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No\", \"bbox\": [11, 475, 22, 485]}, {\"cell\": \"19.3 (110)\", \"bbox\": [143, 475, 177, 485]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [251, 475, 277, 485]}, {\"cell\": \"51.6 (294)**\", \"bbox\": [368, 475, 409, 485]}, {\"cell\": \"Yes\", \"bbox\": [11, 489, 24, 499]}, {\"cell\": \"19.8 (233)\", \"bbox\": [142, 489, 177, 499]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 489, 285, 499]}, {\"cell\": \"42.3 (497)\", \"bbox\": [368, 489, 403, 499]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2868779_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
CharacteristicsCategoriesNumber (n)Percentage (%)
Utilisation of latrineYes[EMPTY_CELL]94.3
No27[EMPTY_CELL]
Reasons for latrine constructionAdvice from health workers[EMPTY_CELL]16.5
Self-initiation319[EMPTY_CELL]
Peer pressure49[EMPTY_CELL]
Imposition from others27[EMPTY_CELL]
Type of latrineDirect pit[EMPTY_CELL]6.8
Pour flush441[EMPTY_CELL]
Distance of latrine from kitchen (meter)<6[EMPTY_CELL]75.7
6–1090[EMPTY_CELL]
>1025[EMPTY_CELL]
Years since latrine constructed<2[EMPTY_CELL]47.6
≥2248[EMPTY_CELL]
Latrine cleaningAlways[EMPTY_CELL]65.3
Often101[EMPTY_CELL]
Rarely63[EMPTY_CELL]
Assistance from government/NGO to build latrineYes[EMPTY_CELL]50.1
No236[EMPTY_CELL]
Wall height over 1.5 mYes[EMPTY_CELL]89.4
No50[EMPTY_CELL]
Closure for privacyYes[EMPTY_CELL]91.8
No39[EMPTY_CELL]
FunctionalYes[EMPTY_CELL]89.9
No48[EMPTY_CELL]
Need for maintenanceYes[EMPTY_CELL]32.3
No320[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Characteristics\", \"bbox\": [1, 3, 53, 12]}, {\"cell\": \"Categories\", \"bbox\": [68, 3, 107, 12]}, {\"cell\": \"Number (n)\", \"bbox\": [135, 3, 177, 12]}, {\"cell\": \"Percentage (%)\", \"bbox\": [182, 3, 236, 12]}, {\"cell\": \"Utilisation of latrine\", \"bbox\": [1, 20, 64, 30]}, {\"cell\": \"Yes\", \"bbox\": [68, 20, 81, 30]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 20, 149, 30]}, {\"cell\": \"94.3\", \"bbox\": [182, 20, 197, 30]}, {\"cell\": \"No\", \"bbox\": [68, 33, 80, 42]}, {\"cell\": \"27\", \"bbox\": [139, 33, 149, 42]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 33, 197, 42]}, {\"cell\": \"Reasons for latrine construction\", \"bbox\": [1, 45, 61, 63]}, {\"cell\": \"Advice from health workers\", \"bbox\": [68, 45, 131, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 45, 149, 54]}, {\"cell\": \"16.5\", \"bbox\": [182, 45, 197, 54]}, {\"cell\": \"Self-initiation\", \"bbox\": [68, 66, 112, 75]}, {\"cell\": \"319\", \"bbox\": [135, 66, 149, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 66, 197, 75]}, {\"cell\": \"Peer pressure\", \"bbox\": [68, 78, 113, 87]}, {\"cell\": \"49\", \"bbox\": [139, 78, 149, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 78, 197, 87]}, {\"cell\": \"Imposition from others\", \"bbox\": [68, 90, 122, 108]}, {\"cell\": \"27\", \"bbox\": [139, 90, 149, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 90, 197, 99]}, {\"cell\": \"Type of latrine\", \"bbox\": [1, 111, 48, 121]}, {\"cell\": \"Direct pit\", \"bbox\": [68, 111, 100, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 111, 149, 121]}, {\"cell\": \"6.8\", \"bbox\": [186, 111, 197, 121]}, {\"cell\": \"Pour flush\", \"bbox\": [68, 123, 102, 133]}, {\"cell\": \"441\", \"bbox\": [135, 123, 149, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 123, 197, 133]}, {\"cell\": \"Distance of latrine from kitchen (meter)\", \"bbox\": [1, 135, 60, 163]}, {\"cell\": \"<6\", \"bbox\": [68, 135, 79, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 135, 149, 145]}, {\"cell\": \"75.7\", \"bbox\": [182, 135, 197, 145]}, {\"cell\": \"6–10\", \"bbox\": [68, 147, 86, 157]}, {\"cell\": \"90\", \"bbox\": [139, 147, 149, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 147, 197, 157]}, {\"cell\": \">10\", \"bbox\": [68, 159, 83, 169]}, {\"cell\": \"25\", \"bbox\": [139, 159, 149, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 159, 197, 169]}, {\"cell\": \"Years since latrine constructed\", \"bbox\": [1, 172, 59, 190]}, {\"cell\": \"<2\", \"bbox\": [68, 172, 79, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 172, 149, 181]}, {\"cell\": \"47.6\", \"bbox\": [182, 172, 197, 181]}, {\"cell\": \"≥2\", \"bbox\": [68, 184, 80, 193]}, {\"cell\": \"248\", \"bbox\": [135, 184, 149, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 184, 197, 193]}, {\"cell\": \"Latrine cleaning\", \"bbox\": [1, 196, 54, 205]}, {\"cell\": \"Always\", \"bbox\": [68, 196, 92, 205]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 196, 149, 205]}, {\"cell\": \"65.3\", \"bbox\": [182, 196, 197, 205]}, {\"cell\": \"Often\", \"bbox\": [68, 208, 89, 217]}, {\"cell\": \"101\", \"bbox\": [135, 208, 149, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 208, 197, 217]}, {\"cell\": \"Rarely\", \"bbox\": [68, 220, 89, 229]}, {\"cell\": \"63\", \"bbox\": [139, 220, 149, 229]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 220, 197, 229]}, {\"cell\": \"Assistance from government/NGO to build latrine\", \"bbox\": [1, 232, 53, 269]}, {\"cell\": \"Yes\", \"bbox\": [68, 232, 81, 242]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 232, 149, 242]}, {\"cell\": \"50.1\", \"bbox\": [182, 232, 197, 242]}, {\"cell\": \"No\", \"bbox\": [68, 244, 80, 254]}, {\"cell\": \"236\", \"bbox\": [135, 244, 149, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 244, 197, 254]}, {\"cell\": \"Wall height over 1.5 m\", \"bbox\": [1, 271, 54, 290]}, {\"cell\": \"Yes\", \"bbox\": [68, 271, 81, 281]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 271, 149, 281]}, {\"cell\": \"89.4\", \"bbox\": [182, 271, 197, 281]}, {\"cell\": \"No\", \"bbox\": [68, 283, 80, 293]}, {\"cell\": \"50\", \"bbox\": [139, 283, 149, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 283, 197, 293]}, {\"cell\": \"Closure for privacy\", \"bbox\": [1, 295, 62, 305]}, {\"cell\": \"Yes\", \"bbox\": [68, 295, 81, 305]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 295, 149, 305]}, {\"cell\": \"91.8\", \"bbox\": [182, 295, 197, 305]}, {\"cell\": \"No\", \"bbox\": [68, 307, 80, 317]}, {\"cell\": \"39\", \"bbox\": [139, 307, 149, 317]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 307, 197, 317]}, {\"cell\": \"Functional\", \"bbox\": [1, 319, 36, 329]}, {\"cell\": \"Yes\", \"bbox\": [68, 319, 81, 329]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 319, 149, 329]}, {\"cell\": \"89.9\", \"bbox\": [182, 319, 197, 329]}, {\"cell\": \"No\", \"bbox\": [68, 332, 80, 341]}, {\"cell\": \"48\", \"bbox\": [139, 332, 149, 341]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 332, 197, 341]}, {\"cell\": \"Need for maintenance\", \"bbox\": [0, 344, 57, 362]}, {\"cell\": \"Yes\", \"bbox\": [68, 344, 81, 353]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 344, 149, 353]}, {\"cell\": \"32.3\", \"bbox\": [182, 344, 197, 353]}, {\"cell\": \"No\", \"bbox\": [68, 356, 79, 365]}, {\"cell\": \"320\", \"bbox\": [135, 356, 149, 365]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 356, 197, 365]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5469064_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Study reference numberGene(s)Total number of study subjectsAverage cost/resource use
[17–19]CYP2D6 (extreme metabolism)353[EMPTY_CELL]
[17]CYP2C19 (extreme metabolism)104[EMPTY_CELL]
[20]CYP2D6, CYP2C19, SLC6A4, CYP2C9, CYP1A2, and 5HTR2A91[EMPTY_CELL]
[21]The Genecept Assay333[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Study reference number\", \"bbox\": [2, 4, 60, 25]}, {\"cell\": \"Gene(s)\", \"bbox\": [115, 9, 146, 20]}, {\"cell\": \"Total number of study subjects\", \"bbox\": [202, 4, 262, 25]}, {\"cell\": \"Average cost/resource use\", \"bbox\": [268, 9, 362, 20]}, {\"cell\": \"[17–19]\", \"bbox\": [2, 32, 30, 43]}, {\"cell\": \"CYP2D6 (extreme metabolism)\", \"bbox\": [73, 32, 188, 43]}, {\"cell\": \"353\", \"bbox\": [225, 32, 239, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [268, 27, 499, 48]}, {\"cell\": \"[17]\", \"bbox\": [2, 51, 18, 62]}, {\"cell\": \"CYP2C19 (extreme metabolism)\", \"bbox\": [72, 51, 189, 62]}, {\"cell\": \"104\", \"bbox\": [225, 51, 239, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [268, 51, 372, 62]}, {\"cell\": \"[20]\", \"bbox\": [2, 75, 19, 85]}, {\"cell\": \"CYP2D6, CYP2C19, SLC6A4, CYP2C9, CYP1A2, and 5HTR2A\", \"bbox\": [71, 69, 190, 91]}, {\"cell\": \"91\", \"bbox\": [227, 75, 237, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [268, 64, 489, 96]}, {\"cell\": \"[21]\", \"bbox\": [2, 99, 18, 109]}, {\"cell\": \"The Genecept Assay\", \"bbox\": [94, 99, 168, 109]}, {\"cell\": \"333\", \"bbox\": [225, 99, 239, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [268, 99, 495, 109]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4281386_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Unadjusted β (95% CI)Unadjusted OR (95% CI)P valueAdjusted β (95% CI)a Adjusted OR (95% CI)a P value
Se−0.189 (−0.310, −0.069)0.828 (0.734, 0.933)0.002[EMPTY_CELL]0.831 (0.736, 0.939)0.003
V−0.001 (−0.008, 0.006)0.999 (0.992, 1.006)0.857[EMPTY_CELL]0.999 (0.993, 1.007)0.978
Fe0.003 (−0.001, 0.007)1.003 (0.999, 1.007)0.146[EMPTY_CELL]1.002 (0.997, 1.006)0.447
Co0.001 (−0.006, 0.008)1.006 (0.994, 1.008)0.858[EMPTY_CELL]1.003 (0.993, 1.008)0.928
Cu0.012 (0.001, 0.023)1.012 (1.001, 1.023)0.032[EMPTY_CELL]1.016 (1.004, 1.028)0.007
Zn0.002 (−0.006, 0.010)1.002 (0.994, 1.010)0.589[EMPTY_CELL]1.002 (0.993, 1.009)0.801
Rb−0.019 (−0.070, 0.031)0.981 (0.933, 1.032)0.453[EMPTY_CELL]0.975 (0.926, 1.026)0.331
Sr−0.054 (−0.262, 0.154)0.947 (0.769, 1.066)0.609[EMPTY_CELL]0.940 (0.757, 1.166)0.573
Cs0.000 (−0.010, 0.009)1.000 (0.991, 1.009)0.959[EMPTY_CELL]1.001 (0.991, 1.010)0.910
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Unadjusted β (95% CI)\", \"bbox\": [32, 1, 117, 17]}, {\"cell\": \"Unadjusted OR (95% CI)\", \"bbox\": [128, 4, 220, 15]}, {\"cell\": \"P value\", \"bbox\": [229, 1, 258, 17]}, {\"cell\": \"Adjusted β (95% CI)a \", \"bbox\": [273, 1, 352, 17]}, {\"cell\": \"Adjusted OR (95% CI)a \", \"bbox\": [369, 3, 455, 15]}, {\"cell\": \"P value\", \"bbox\": [468, 1, 497, 17]}, {\"cell\": \"Se\", \"bbox\": [2, 18, 13, 29]}, {\"cell\": \"−0.189 (−0.310, −0.069)\", \"bbox\": [31, 15, 117, 30]}, {\"cell\": \"0.828 (0.734, 0.933)\", \"bbox\": [138, 18, 209, 29]}, {\"cell\": \"0.002\", \"bbox\": [233, 18, 254, 29]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [271, 15, 356, 30]}, {\"cell\": \"0.831 (0.736, 0.939)\", \"bbox\": [378, 18, 448, 29]}, {\"cell\": \"0.003\", \"bbox\": [472, 18, 493, 29]}, {\"cell\": \"V\", \"bbox\": [2, 31, 11, 42]}, {\"cell\": \"−0.001 (−0.008, 0.006)\", \"bbox\": [33, 28, 116, 44]}, {\"cell\": \"0.999 (0.992, 1.006)\", \"bbox\": [138, 31, 210, 42]}, {\"cell\": \"0.857\", \"bbox\": [233, 31, 254, 42]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [275, 28, 352, 44]}, {\"cell\": \"0.999 (0.993, 1.007)\", \"bbox\": [377, 31, 449, 42]}, {\"cell\": \"0.978\", \"bbox\": [472, 31, 493, 42]}, {\"cell\": \"Fe\", \"bbox\": [2, 45, 13, 55]}, {\"cell\": \"0.003 (−0.001, 0.007)\", \"bbox\": [36, 41, 113, 57]}, {\"cell\": \"1.003 (0.999, 1.007)\", \"bbox\": [139, 45, 209, 55]}, {\"cell\": \"0.146\", \"bbox\": [233, 45, 254, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [274, 41, 352, 57]}, {\"cell\": \"1.002 (0.997, 1.006)\", \"bbox\": [378, 45, 448, 55]}, {\"cell\": \"0.447\", \"bbox\": [472, 45, 493, 55]}, {\"cell\": \"Co\", \"bbox\": [2, 58, 15, 69]}, {\"cell\": \"0.001 (−0.006, 0.008)\", \"bbox\": [35, 55, 113, 70]}, {\"cell\": \"1.006 (0.994, 1.008)\", \"bbox\": [138, 58, 209, 69]}, {\"cell\": \"0.858\", \"bbox\": [233, 58, 254, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [275, 55, 352, 70]}, {\"cell\": \"1.003 (0.993, 1.008)\", \"bbox\": [378, 58, 448, 69]}, {\"cell\": \"0.928\", \"bbox\": [472, 58, 493, 69]}, {\"cell\": \"Cu\", \"bbox\": [3, 71, 15, 82]}, {\"cell\": \"0.012 (0.001, 0.023)\", \"bbox\": [39, 71, 109, 82]}, {\"cell\": \"1.012 (1.001, 1.023)\", \"bbox\": [141, 71, 207, 82]}, {\"cell\": \"0.032\", \"bbox\": [233, 71, 254, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [277, 71, 349, 82]}, {\"cell\": \"1.016 (1.004, 1.028)\", \"bbox\": [379, 71, 447, 82]}, {\"cell\": \"0.007\", \"bbox\": [472, 71, 494, 82]}, {\"cell\": \"Zn\", \"bbox\": [3, 84, 15, 95]}, {\"cell\": \"0.002 (−0.006, 0.010)\", \"bbox\": [36, 81, 113, 97]}, {\"cell\": \"1.002 (0.994, 1.010)\", \"bbox\": [139, 84, 208, 95]}, {\"cell\": \"0.589\", \"bbox\": [233, 84, 254, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [275, 81, 351, 97]}, {\"cell\": \"1.002 (0.993, 1.009)\", \"bbox\": [378, 84, 448, 95]}, {\"cell\": \"0.801\", \"bbox\": [473, 84, 493, 95]}, {\"cell\": \"Rb\", \"bbox\": [3, 98, 15, 108]}, {\"cell\": \"−0.019 (−0.070, 0.031)\", \"bbox\": [34, 94, 114, 110]}, {\"cell\": \"0.981 (0.933, 1.032)\", \"bbox\": [140, 98, 208, 108]}, {\"cell\": \"0.453\", \"bbox\": [233, 98, 254, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [273, 94, 354, 110]}, {\"cell\": \"0.975 (0.926, 1.026)\", \"bbox\": [378, 98, 448, 108]}, {\"cell\": \"0.331\", \"bbox\": [473, 98, 492, 108]}, {\"cell\": \"Sr\", \"bbox\": [3, 111, 12, 122]}, {\"cell\": \"−0.054 (−0.262, 0.154)\", \"bbox\": [33, 108, 115, 123]}, {\"cell\": \"0.947 (0.769, 1.066)\", \"bbox\": [138, 111, 209, 122]}, {\"cell\": \"0.609\", \"bbox\": [233, 111, 254, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [273, 108, 354, 123]}, {\"cell\": \"0.940 (0.757, 1.166)\", \"bbox\": [379, 111, 447, 122]}, {\"cell\": \"0.573\", \"bbox\": [472, 111, 493, 122]}, {\"cell\": \"Cs\", \"bbox\": [3, 124, 14, 135]}, {\"cell\": \"0.000 (−0.010, 0.009)\", \"bbox\": [35, 121, 113, 136]}, {\"cell\": \"1.000 (0.991, 1.009)\", \"bbox\": [139, 124, 209, 135]}, {\"cell\": \"0.959\", \"bbox\": [233, 124, 254, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [276, 121, 351, 136]}, {\"cell\": \"1.001 (0.991, 1.010)\", \"bbox\": [380, 124, 446, 135]}, {\"cell\": \"0.910\", \"bbox\": [473, 124, 493, 135]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5818896_004_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Scientists’ recommendations/requirementsVery importantModerately importantNot importantNot sure
1. Evidence of contingency measures available to remove the GM mosquitoes if a hazard becomes evident during the course of release81.711.01.8[EMPTY_CELL]
2. Education campaigns on how GM mosquitoes reduce malaria78.013.44.3[EMPTY_CELL]
3. A confirmed trial in a community in Nigeria76.810.45.5[EMPTY_CELL]
4. Scientific evidence that it is possible to reduce malaria using GM mosquitoes70.720.14.3[EMPTY_CELL]
5. Mosquitoes to be modified captured from our environment65.225.64.3[EMPTY_CELL]
6. Approval from Nigerian government65.924.45.5[EMPTY_CELL]
7. Dialogue between Nigerian government, general public and scientists who modify mosquitoes62.222.67.3[EMPTY_CELL]
8. Evidence from a trial in another African country62.222.67.3[EMPTY_CELL]
9. Approval from a majority of the Nigerian public55.526.815.2[EMPTY_CELL]
10. Bed nets provided51.825.015.2[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Scientists’ recommendations/requirements\", \"bbox\": [1, 4, 150, 13]}, {\"cell\": \"Very important\", \"bbox\": [319, 4, 356, 22]}, {\"cell\": \"Moderately important\", \"bbox\": [362, 4, 403, 22]}, {\"cell\": \"Not important\", \"bbox\": [420, 4, 457, 22]}, {\"cell\": \"Not sure\", \"bbox\": [462, 4, 479, 22]}, {\"cell\": \"1. Evidence of contingency measures available to remove the GM mosquitoes if a hazard becomes evident during the course of release\", \"bbox\": [1, 26, 289, 45]}, {\"cell\": \"81.7\", \"bbox\": [319, 26, 334, 36]}, {\"cell\": \"11.0\", \"bbox\": [362, 26, 377, 36]}, {\"cell\": \"1.8\", \"bbox\": [420, 26, 431, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 26, 473, 36]}, {\"cell\": \"2. Education campaigns on how GM mosquitoes reduce malaria\", \"bbox\": [1, 49, 209, 59]}, {\"cell\": \"78.0\", \"bbox\": [319, 49, 334, 59]}, {\"cell\": \"13.4\", \"bbox\": [362, 49, 377, 59]}, {\"cell\": \"4.3\", \"bbox\": [420, 49, 431, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 49, 473, 59]}, {\"cell\": \"3. A confirmed trial in a community in Nigeria\", \"bbox\": [1, 63, 150, 73]}, {\"cell\": \"76.8\", \"bbox\": [319, 63, 334, 73]}, {\"cell\": \"10.4\", \"bbox\": [362, 63, 377, 73]}, {\"cell\": \"5.5\", \"bbox\": [420, 63, 431, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 63, 473, 73]}, {\"cell\": \"4. Scientific evidence that it is possible to reduce malaria using GM mosquitoes\", \"bbox\": [1, 77, 257, 87]}, {\"cell\": \"70.7\", \"bbox\": [319, 77, 334, 87]}, {\"cell\": \"20.1\", \"bbox\": [362, 77, 377, 87]}, {\"cell\": \"4.3\", \"bbox\": [420, 77, 431, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 77, 473, 87]}, {\"cell\": \"5. Mosquitoes to be modified captured from our environment\", \"bbox\": [1, 91, 202, 101]}, {\"cell\": \"65.2\", \"bbox\": [319, 91, 334, 101]}, {\"cell\": \"25.6\", \"bbox\": [362, 91, 377, 101]}, {\"cell\": \"4.3\", \"bbox\": [420, 91, 431, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 91, 473, 101]}, {\"cell\": \"6. Approval from Nigerian government\", \"bbox\": [1, 105, 127, 115]}, {\"cell\": \"65.9\", \"bbox\": [319, 105, 334, 115]}, {\"cell\": \"24.4\", \"bbox\": [362, 105, 377, 115]}, {\"cell\": \"5.5\", \"bbox\": [420, 105, 431, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 105, 473, 115]}, {\"cell\": \"7. Dialogue between Nigerian government, general public and scientists who modify mosquitoes\", \"bbox\": [1, 119, 299, 129]}, {\"cell\": \"62.2\", \"bbox\": [319, 119, 334, 129]}, {\"cell\": \"22.6\", \"bbox\": [362, 119, 377, 129]}, {\"cell\": \"7.3\", \"bbox\": [420, 119, 431, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 119, 473, 129]}, {\"cell\": \"8. Evidence from a trial in another African country\", \"bbox\": [1, 133, 163, 143]}, {\"cell\": \"62.2\", \"bbox\": [319, 133, 334, 143]}, {\"cell\": \"22.6\", \"bbox\": [362, 133, 377, 143]}, {\"cell\": \"7.3\", \"bbox\": [420, 133, 431, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 133, 473, 143]}, {\"cell\": \"9. Approval from a majority of the Nigerian public\", \"bbox\": [1, 147, 163, 157]}, {\"cell\": \"55.5\", \"bbox\": [319, 147, 334, 157]}, {\"cell\": \"26.8\", \"bbox\": [362, 147, 377, 157]}, {\"cell\": \"15.2\", \"bbox\": [420, 147, 435, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 147, 473, 157]}, {\"cell\": \"10. Bed nets provided\", \"bbox\": [1, 161, 73, 171]}, {\"cell\": \"51.8\", \"bbox\": [319, 161, 334, 171]}, {\"cell\": \"25.0\", \"bbox\": [362, 161, 377, 171]}, {\"cell\": \"15.2\", \"bbox\": [420, 161, 435, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 161, 473, 171]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4021343_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]coconut dietbutter dietLieberZouRiveraGauthierFan
RatWistarWistarSprague DawleySprague Dawley[EMPTY_CELL]Sprague DawleySprague Dawley
Fat (w/w)45% coconut45% butter30.1% corn oil17.6% olive oil1.7% safflower oil35.7% corn oil[EMPTY_CELL]3.4% corn oil14.6% lard10% lard oil2% cholesterol
SFA (% fat)86.551.31313[EMPTY_CELL]3439
MUFA (% fat)5.8214124[EMPTY_CELL]4245
PUFA (% fat)1.834259[EMPTY_CELL]2021
Carbohydrate (w/w)24.7% corn starch16.2% dextrin maltose13.4% sucrose50% sucrose[EMPTY_CELL]nd
Time of diet (week)141436[EMPTY_CELL]81612
steatosisnonomildmild[EMPTY_CELL]yesyesyes
inflammationnonoyesyes[EMPTY_CELL]ndndmild
fibrosisnonoyesnd[EMPTY_CELL]ndndno
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"coconut diet\", \"bbox\": [91, 5, 141, 14]}, {\"cell\": \"butter diet\", \"bbox\": [148, 5, 191, 14]}, {\"cell\": \"Lieber\", \"bbox\": [223, 5, 249, 14]}, {\"cell\": \"Zou\", \"bbox\": [297, 5, 315, 14]}, {\"cell\": \"Rivera\", \"bbox\": [346, 5, 373, 14]}, {\"cell\": \"Gauthier\", \"bbox\": [396, 5, 433, 14]}, {\"cell\": \"Fan\", \"bbox\": [465, 5, 481, 14]}, {\"cell\": \"Rat\", \"bbox\": [37, 27, 52, 36]}, {\"cell\": \"Wistar\", \"bbox\": [103, 27, 129, 36]}, {\"cell\": \"Wistar\", \"bbox\": [157, 27, 182, 36]}, {\"cell\": \"Sprague Dawley\", \"bbox\": [208, 27, 264, 36]}, {\"cell\": \"Sprague Dawley\", \"bbox\": [292, 27, 320, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [347, 27, 372, 36]}, {\"cell\": \"Sprague Dawley\", \"bbox\": [400, 27, 429, 46]}, {\"cell\": \"Sprague Dawley\", \"bbox\": [459, 27, 487, 46]}, {\"cell\": \"Fat (w/w)\", \"bbox\": [25, 46, 64, 56]}, {\"cell\": \"45% coconut\", \"bbox\": [93, 46, 139, 56]}, {\"cell\": \"45% butter\", \"bbox\": [150, 46, 189, 56]}, {\"cell\": \"30.1% corn oil17.6% olive oil1.7% safflower oil\", \"bbox\": [206, 46, 266, 74]}, {\"cell\": \"35.7% corn oil\", \"bbox\": [281, 46, 331, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [338, 46, 382, 56]}, {\"cell\": \"3.4% corn oil14.6% lard\", \"bbox\": [392, 46, 437, 65]}, {\"cell\": \"10% lard oil2% cholesterol\", \"bbox\": [447, 46, 499, 65]}, {\"cell\": \"SFA (% fat)\", \"bbox\": [22, 75, 67, 85]}, {\"cell\": \"86.5\", \"bbox\": [108, 75, 124, 85]}, {\"cell\": \"51.3\", \"bbox\": [161, 75, 178, 85]}, {\"cell\": \"13\", \"bbox\": [231, 75, 241, 85]}, {\"cell\": \"13\", \"bbox\": [301, 75, 311, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [355, 75, 365, 85]}, {\"cell\": \"34\", \"bbox\": [409, 75, 420, 85]}, {\"cell\": \"39\", \"bbox\": [468, 75, 478, 85]}, {\"cell\": \"MUFA (% fat)\", \"bbox\": [17, 85, 72, 95]}, {\"cell\": \"5.8\", \"bbox\": [110, 85, 122, 95]}, {\"cell\": \"21\", \"bbox\": [164, 85, 175, 95]}, {\"cell\": \"41\", \"bbox\": [231, 85, 241, 95]}, {\"cell\": \"24\", \"bbox\": [301, 85, 311, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 85, 368, 95]}, {\"cell\": \"42\", \"bbox\": [409, 85, 420, 95]}, {\"cell\": \"45\", \"bbox\": [468, 85, 478, 95]}, {\"cell\": \"PUFA (% fat)\", \"bbox\": [18, 96, 71, 105]}, {\"cell\": \"1.8\", \"bbox\": [110, 95, 122, 105]}, {\"cell\": \"3\", \"bbox\": [166, 95, 173, 105]}, {\"cell\": \"42\", \"bbox\": [231, 95, 241, 105]}, {\"cell\": \"59\", \"bbox\": [301, 95, 311, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 95, 368, 105]}, {\"cell\": \"20\", \"bbox\": [409, 95, 420, 105]}, {\"cell\": \"21\", \"bbox\": [468, 95, 478, 105]}, {\"cell\": \"Carbohydrate (w/w)\", \"bbox\": [5, 106, 84, 115]}, {\"cell\": \"24.7% corn starch\", \"bbox\": [110, 106, 172, 115]}, {\"cell\": \"16.2% dextrin maltose\", \"bbox\": [198, 106, 274, 115]}, {\"cell\": \"13.4% sucrose\", \"bbox\": [281, 106, 331, 115]}, {\"cell\": \"50% sucrose\", \"bbox\": [338, 106, 382, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [398, 106, 431, 125]}, {\"cell\": \"nd\", \"bbox\": [468, 106, 478, 115]}, {\"cell\": \"Time of diet (week)\", \"bbox\": [5, 125, 84, 135]}, {\"cell\": \"14\", \"bbox\": [111, 125, 121, 135]}, {\"cell\": \"14\", \"bbox\": [164, 125, 175, 135]}, {\"cell\": \"3\", \"bbox\": [233, 125, 239, 135]}, {\"cell\": \"6\", \"bbox\": [303, 125, 309, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [357, 125, 363, 135]}, {\"cell\": \"8\", \"bbox\": [397, 125, 403, 135]}, {\"cell\": \"16\", \"bbox\": [424, 125, 434, 135]}, {\"cell\": \"12\", \"bbox\": [468, 125, 478, 135]}, {\"cell\": \"steatosis\", \"bbox\": [27, 136, 62, 145]}, {\"cell\": \"no\", \"bbox\": [111, 135, 121, 145]}, {\"cell\": \"no\", \"bbox\": [164, 135, 175, 145]}, {\"cell\": \"mild\", \"bbox\": [228, 135, 244, 145]}, {\"cell\": \"mild\", \"bbox\": [298, 135, 314, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [354, 135, 365, 145]}, {\"cell\": \"yes\", \"bbox\": [393, 135, 406, 145]}, {\"cell\": \"yes\", \"bbox\": [423, 135, 436, 145]}, {\"cell\": \"yes\", \"bbox\": [467, 135, 479, 145]}, {\"cell\": \"inflammation\", \"bbox\": [18, 146, 71, 155]}, {\"cell\": \"no\", \"bbox\": [111, 146, 121, 155]}, {\"cell\": \"no\", \"bbox\": [164, 146, 175, 155]}, {\"cell\": \"yes\", \"bbox\": [230, 146, 242, 155]}, {\"cell\": \"yes\", \"bbox\": [299, 146, 312, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [354, 146, 365, 155]}, {\"cell\": \"nd\", \"bbox\": [395, 146, 405, 155]}, {\"cell\": \"nd\", \"bbox\": [424, 146, 434, 155]}, {\"cell\": \"mild\", \"bbox\": [465, 146, 481, 155]}, {\"cell\": \"fibrosis\", \"bbox\": [30, 156, 59, 166]}, {\"cell\": \"no\", \"bbox\": [111, 156, 121, 166]}, {\"cell\": \"no\", \"bbox\": [164, 156, 175, 166]}, {\"cell\": \"yes\", \"bbox\": [230, 156, 242, 166]}, {\"cell\": \"nd\", \"bbox\": [301, 156, 311, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [354, 156, 365, 166]}, {\"cell\": \"nd\", \"bbox\": [395, 156, 405, 166]}, {\"cell\": \"nd\", \"bbox\": [424, 156, 434, 166]}, {\"cell\": \"no\", \"bbox\": [468, 156, 478, 166]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC1805500_011_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Cluster size (mm3)Peak locationaTalairach coordinatesPeak t-statisticp-Value
[EMPTY_CELL][EMPTY_CELL]xyz[EMPTY_CELL]
984Right ventral amygdala[EMPTY_CELL]−7−126.028<0.001
[EMPTY_CELL]Right extended amygdala[EMPTY_CELL]−11−104.0210.001
784Left ventral amygdala[EMPTY_CELL]−5−164.773<0.001
[EMPTY_CELL]Left extended amygdala[EMPTY_CELL]−11−104.699<0.001
2832Left pMCC[EMPTY_CELL]−21325.634<0.001
[EMPTY_CELL]Left PCC[EMPTY_CELL]−35364.743<0.001
504Right PCC[EMPTY_CELL]−33324.900<0.001
3672Left thalamus[EMPTY_CELL]−9104.695<0.001
[EMPTY_CELL]Left thalamus[EMPTY_CELL]−1904.282<0.001
[EMPTY_CELL]Right thalamus[EMPTY_CELL]−3104.0120.001
[EMPTY_CELL]Left thalamus[EMPTY_CELL]−2783.8890.001
[EMPTY_CELL]Left thalamus[EMPTY_CELL]−3103.8690.001
[EMPTY_CELL]Left thalamus[EMPTY_CELL]−2503.8160.001
[EMPTY_CELL]Left thalamus[EMPTY_CELL]−19163.7340.002
[EMPTY_CELL]Right thalamus[EMPTY_CELL]−1163.5290.002
472Right thalamus[EMPTY_CELL]−2303.9260.001
[EMPTY_CELL]Right thalamus[EMPTY_CELL]−23163.4020.003
[EMPTY_CELL]Right thalamus[EMPTY_CELL]−31103.1470.005
312Right PCC[EMPTY_CELL]−47423.5330.002
\", \"cells\": [{\"cell\": \"Cluster size (mm3)\", \"bbox\": [0, 5, 68, 15]}, {\"cell\": \"Peak locationa\", \"bbox\": [102, 5, 155, 15]}, {\"cell\": \"Talairach coordinates\", \"bbox\": [249, 6, 326, 15]}, {\"cell\": \"Peak t-statistic\", \"bbox\": [389, 6, 444, 16]}, {\"cell\": \"p-Value\", \"bbox\": [478, 6, 507, 16]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"x\", \"bbox\": [222, 27, 228, 35]}, {\"cell\": \"y\", \"bbox\": [272, 27, 278, 35]}, {\"cell\": \"z\", \"bbox\": [322, 27, 328, 35]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"984\", \"bbox\": [0, 46, 15, 55]}, {\"cell\": \"Right ventral amygdala\", \"bbox\": [102, 46, 179, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 46, 238, 55]}, {\"cell\": \"−7\", \"bbox\": [272, 46, 284, 55]}, {\"cell\": \"−12\", \"bbox\": [322, 46, 338, 55]}, {\"cell\": \"6.028\", \"bbox\": [389, 46, 409, 55]}, {\"cell\": \"<0.001\", \"bbox\": [478, 46, 504, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Right extended amygdala\", \"bbox\": [102, 58, 188, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 58, 238, 66]}, {\"cell\": \"−11\", \"bbox\": [272, 58, 287, 66]}, {\"cell\": \"−10\", \"bbox\": [322, 58, 338, 66]}, {\"cell\": \"4.021\", \"bbox\": [389, 58, 409, 66]}, {\"cell\": \"0.001\", \"bbox\": [484, 58, 504, 66]}, {\"cell\": \"784\", \"bbox\": [1, 69, 15, 78]}, {\"cell\": \"Left ventral amygdala\", \"bbox\": [102, 69, 175, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [222, 69, 238, 78]}, {\"cell\": \"−5\", \"bbox\": [272, 69, 284, 78]}, {\"cell\": \"−16\", \"bbox\": [322, 69, 338, 78]}, {\"cell\": \"4.773\", \"bbox\": [389, 69, 409, 78]}, {\"cell\": \"<0.001\", \"bbox\": [478, 69, 504, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Left extended amygdala\", \"bbox\": [102, 80, 183, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [222, 80, 238, 89]}, {\"cell\": \"−11\", \"bbox\": [272, 80, 287, 89]}, {\"cell\": \"−10\", \"bbox\": [322, 80, 338, 89]}, {\"cell\": \"4.699\", \"bbox\": [389, 80, 409, 89]}, {\"cell\": \"<0.001\", \"bbox\": [478, 80, 504, 89]}, {\"cell\": \"2832\", \"bbox\": [1, 92, 19, 101]}, {\"cell\": \"Left pMCC\", \"bbox\": [102, 92, 140, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [222, 92, 238, 101]}, {\"cell\": \"−21\", \"bbox\": [272, 92, 288, 101]}, {\"cell\": \"32\", \"bbox\": [328, 92, 338, 101]}, {\"cell\": \"5.634\", \"bbox\": [389, 92, 409, 101]}, {\"cell\": \"<0.001\", \"bbox\": [478, 92, 504, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Left PCC\", \"bbox\": [102, 103, 133, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [222, 103, 237, 112]}, {\"cell\": \"−35\", \"bbox\": [272, 103, 288, 112]}, {\"cell\": \"36\", \"bbox\": [328, 103, 338, 112]}, {\"cell\": \"4.743\", \"bbox\": [389, 103, 408, 112]}, {\"cell\": \"<0.001\", \"bbox\": [478, 103, 504, 112]}, {\"cell\": \"504\", \"bbox\": [1, 115, 15, 124]}, {\"cell\": \"Right PCC\", \"bbox\": [102, 115, 138, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 115, 238, 124]}, {\"cell\": \"−33\", \"bbox\": [272, 115, 288, 124]}, {\"cell\": \"32\", \"bbox\": [328, 115, 338, 124]}, {\"cell\": \"4.900\", \"bbox\": [389, 115, 409, 124]}, {\"cell\": \"<0.001\", \"bbox\": [478, 115, 504, 124]}, {\"cell\": \"3672\", \"bbox\": [1, 126, 19, 135]}, {\"cell\": \"Left thalamus\", \"bbox\": [102, 126, 149, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [222, 126, 234, 135]}, {\"cell\": \"−9\", \"bbox\": [272, 126, 284, 135]}, {\"cell\": \"10\", \"bbox\": [328, 126, 338, 135]}, {\"cell\": \"4.695\", \"bbox\": [389, 126, 409, 135]}, {\"cell\": \"<0.001\", \"bbox\": [478, 126, 504, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Left thalamus\", \"bbox\": [102, 138, 149, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [222, 138, 238, 147]}, {\"cell\": \"−19\", \"bbox\": [272, 138, 288, 147]}, {\"cell\": \"0\", \"bbox\": [328, 138, 334, 147]}, {\"cell\": \"4.282\", \"bbox\": [389, 138, 409, 147]}, {\"cell\": \"<0.001\", \"bbox\": [478, 138, 504, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Right thalamus\", \"bbox\": [102, 149, 154, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 149, 237, 158]}, {\"cell\": \"−3\", \"bbox\": [272, 149, 284, 158]}, {\"cell\": \"10\", \"bbox\": [328, 149, 338, 158]}, {\"cell\": \"4.012\", \"bbox\": [389, 149, 408, 158]}, {\"cell\": \"0.001\", \"bbox\": [484, 149, 504, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Left thalamus\", \"bbox\": [102, 161, 149, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [222, 161, 238, 170]}, {\"cell\": \"−27\", \"bbox\": [272, 161, 288, 170]}, {\"cell\": \"8\", \"bbox\": [328, 161, 334, 170]}, {\"cell\": \"3.889\", \"bbox\": [389, 161, 409, 170]}, {\"cell\": \"0.001\", \"bbox\": [484, 161, 504, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Left thalamus\", \"bbox\": [102, 172, 149, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [222, 172, 238, 181]}, {\"cell\": \"−31\", \"bbox\": [272, 172, 288, 181]}, {\"cell\": \"0\", \"bbox\": [328, 172, 334, 181]}, {\"cell\": \"3.869\", \"bbox\": [389, 172, 409, 181]}, {\"cell\": \"0.001\", \"bbox\": [484, 172, 504, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Left thalamus\", \"bbox\": [102, 184, 149, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [222, 184, 238, 193]}, {\"cell\": \"−25\", \"bbox\": [272, 184, 288, 193]}, {\"cell\": \"0\", \"bbox\": [328, 184, 334, 193]}, {\"cell\": \"3.816\", \"bbox\": [389, 184, 409, 193]}, {\"cell\": \"0.001\", \"bbox\": [484, 184, 504, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Left thalamus\", \"bbox\": [102, 195, 149, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [222, 195, 238, 204]}, {\"cell\": \"−19\", \"bbox\": [272, 195, 288, 204]}, {\"cell\": \"16\", \"bbox\": [328, 195, 338, 204]}, {\"cell\": \"3.734\", \"bbox\": [389, 195, 409, 204]}, {\"cell\": \"0.002\", \"bbox\": [484, 195, 505, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Right thalamus\", \"bbox\": [102, 206, 154, 215]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 206, 234, 215]}, {\"cell\": \"−11\", \"bbox\": [272, 206, 287, 215]}, {\"cell\": \"6\", \"bbox\": [328, 206, 334, 215]}, {\"cell\": \"3.529\", \"bbox\": [389, 206, 409, 215]}, {\"cell\": \"0.002\", \"bbox\": [484, 206, 505, 215]}, {\"cell\": \"472\", \"bbox\": [0, 218, 15, 227]}, {\"cell\": \"Right thalamus\", \"bbox\": [102, 218, 154, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 218, 238, 227]}, {\"cell\": \"−23\", \"bbox\": [272, 218, 288, 227]}, {\"cell\": \"0\", \"bbox\": [328, 218, 334, 227]}, {\"cell\": \"3.926\", \"bbox\": [389, 218, 409, 227]}, {\"cell\": \"0.001\", \"bbox\": [484, 218, 504, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Right thalamus\", \"bbox\": [102, 229, 154, 238]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 229, 238, 238]}, {\"cell\": \"−23\", \"bbox\": [272, 229, 288, 238]}, {\"cell\": \"16\", \"bbox\": [328, 229, 338, 238]}, {\"cell\": \"3.402\", \"bbox\": [389, 229, 409, 238]}, {\"cell\": \"0.003\", \"bbox\": [484, 229, 505, 238]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Right thalamus\", \"bbox\": [102, 241, 154, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 241, 238, 250]}, {\"cell\": \"−31\", \"bbox\": [272, 241, 288, 250]}, {\"cell\": \"10\", \"bbox\": [328, 241, 338, 250]}, {\"cell\": \"3.147\", \"bbox\": [389, 241, 409, 250]}, {\"cell\": \"0.005\", \"bbox\": [484, 241, 505, 250]}, {\"cell\": \"312\", \"bbox\": [0, 252, 15, 261]}, {\"cell\": \"Right PCC\", \"bbox\": [102, 252, 138, 261]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 252, 234, 261]}, {\"cell\": \"−47\", \"bbox\": [272, 252, 288, 261]}, {\"cell\": \"42\", \"bbox\": [328, 252, 338, 261]}, {\"cell\": \"3.533\", \"bbox\": [389, 252, 409, 261]}, {\"cell\": \"0.002\", \"bbox\": [484, 252, 505, 261]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3582324_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
KO termNo. of DEGsNo. of genesp-valuePathways
ko0305087 ((0.6%))104 (0.38%)1.177307e-10[EMPTY_CELL]
ko04141358 (2.45%)533 (1.96%)1.450501e-10[EMPTY_CELL]
ko03013380 (2.6%)571 (2.1%)2.417814e-10[EMPTY_CELL]
ko00190222 (1.52%)315 (1.16%)7.983256e-10[EMPTY_CELL]
ko00020111 (0.76%)148 (0.54%)7.634897e-08[EMPTY_CELL]
ko00010143 (0.98%)199 (0.73%)1.168776e-07[EMPTY_CELL]
ko0413065 (0.45%)80 (0.29%)2.460867e-07[EMPTY_CELL]
ko00280131 (0.9%)183 (0.67%)5.546992e-07[EMPTY_CELL]
ko03040383 (2.62%)609 (2.24%)2.553937e-06[EMPTY_CELL]
ko0003069 (0.47%)89 (0.33%)2.854414e-06[EMPTY_CELL]
ko04910287 (1.97%)453 (1.67%)1.953777e-05[EMPTY_CELL]
ko04380155 (1.06%)232 (0.85%)3.401093e-05[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"KO term\", \"bbox\": [1, 4, 31, 13]}, {\"cell\": \"No. of DEGs\", \"bbox\": [75, 4, 118, 13]}, {\"cell\": \"No. of genes\", \"bbox\": [162, 4, 208, 13]}, {\"cell\": \"p-value\", \"bbox\": [251, 4, 279, 13]}, {\"cell\": \"Pathways\", \"bbox\": [339, 4, 374, 13]}, {\"cell\": \"ko03050\", \"bbox\": [1, 17, 29, 27]}, {\"cell\": \"87 ((0.6%))\", \"bbox\": [75, 17, 110, 27]}, {\"cell\": \"104 (0.38%)\", \"bbox\": [162, 17, 201, 27]}, {\"cell\": \"1.177307e-10\", \"bbox\": [251, 17, 295, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 17, 379, 27]}, {\"cell\": \"ko04141\", \"bbox\": [1, 31, 29, 41]}, {\"cell\": \"358 (2.45%)\", \"bbox\": [75, 31, 114, 41]}, {\"cell\": \"533 (1.96%)\", \"bbox\": [162, 31, 201, 41]}, {\"cell\": \"1.450501e-10\", \"bbox\": [251, 31, 295, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 31, 484, 41]}, {\"cell\": \"ko03013\", \"bbox\": [1, 45, 29, 55]}, {\"cell\": \"380 (2.6%)\", \"bbox\": [75, 45, 110, 55]}, {\"cell\": \"571 (2.1%)\", \"bbox\": [162, 45, 197, 55]}, {\"cell\": \"2.417814e-10\", \"bbox\": [251, 45, 295, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 45, 386, 55]}, {\"cell\": \"ko00190\", \"bbox\": [1, 59, 29, 69]}, {\"cell\": \"222 (1.52%)\", \"bbox\": [75, 59, 114, 69]}, {\"cell\": \"315 (1.16%)\", \"bbox\": [162, 59, 201, 69]}, {\"cell\": \"7.983256e-10\", \"bbox\": [251, 59, 295, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 59, 424, 69]}, {\"cell\": \"ko00020\", \"bbox\": [1, 73, 29, 83]}, {\"cell\": \"111 (0.76%)\", \"bbox\": [75, 73, 114, 83]}, {\"cell\": \"148 (0.54%)\", \"bbox\": [162, 73, 201, 83]}, {\"cell\": \"7.634897e-08\", \"bbox\": [251, 73, 295, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 73, 417, 83]}, {\"cell\": \"ko00010\", \"bbox\": [1, 87, 29, 97]}, {\"cell\": \"143 (0.98%)\", \"bbox\": [75, 87, 114, 97]}, {\"cell\": \"199 (0.73%)\", \"bbox\": [162, 87, 201, 97]}, {\"cell\": \"1.168776e-07\", \"bbox\": [251, 87, 295, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 87, 428, 97]}, {\"cell\": \"ko04130\", \"bbox\": [1, 101, 29, 111]}, {\"cell\": \"65 (0.45%)\", \"bbox\": [75, 101, 110, 111]}, {\"cell\": \"80 (0.29%)\", \"bbox\": [162, 101, 197, 111]}, {\"cell\": \"2.460867e-07\", \"bbox\": [251, 101, 295, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 101, 470, 111]}, {\"cell\": \"ko00280\", \"bbox\": [1, 115, 29, 125]}, {\"cell\": \"131 (0.9%)\", \"bbox\": [75, 115, 110, 125]}, {\"cell\": \"183 (0.67%)\", \"bbox\": [162, 115, 201, 125]}, {\"cell\": \"5.546992e-07\", \"bbox\": [251, 115, 295, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 115, 476, 125]}, {\"cell\": \"ko03040\", \"bbox\": [1, 129, 29, 139]}, {\"cell\": \"383 (2.62%)\", \"bbox\": [75, 129, 114, 139]}, {\"cell\": \"609 (2.24%)\", \"bbox\": [162, 129, 201, 139]}, {\"cell\": \"2.553937e-06\", \"bbox\": [251, 129, 295, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 129, 380, 139]}, {\"cell\": \"ko00030\", \"bbox\": [1, 143, 29, 153]}, {\"cell\": \"69 (0.47%)\", \"bbox\": [75, 143, 110, 153]}, {\"cell\": \"89 (0.33%)\", \"bbox\": [162, 143, 197, 153]}, {\"cell\": \"2.854414e-06\", \"bbox\": [251, 143, 295, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 143, 433, 153]}, {\"cell\": \"ko04910\", \"bbox\": [1, 157, 29, 167]}, {\"cell\": \"287 (1.97%)\", \"bbox\": [75, 157, 114, 167]}, {\"cell\": \"453 (1.67%)\", \"bbox\": [162, 157, 201, 167]}, {\"cell\": \"1.953777e-05\", \"bbox\": [251, 157, 295, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 157, 422, 167]}, {\"cell\": \"ko04380\", \"bbox\": [1, 171, 29, 181]}, {\"cell\": \"155 (1.06%)\", \"bbox\": [75, 171, 114, 181]}, {\"cell\": \"232 (0.85%)\", \"bbox\": [162, 171, 201, 181]}, {\"cell\": \"3.401093e-05\", \"bbox\": [251, 171, 295, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 171, 419, 181]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4328836_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariablesExercise groupDopamine agonists groupPlacebo group
DEXA-derived data[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Total Body Fat (%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Baseline30.9±9.031.9±11.2[EMPTY_CELL]
6-m post30.5±8.127.1±7.5[EMPTY_CELL]
Δ Change- 0.38±1.83- 4.71±10.86[EMPTY_CELL]
95% CI of Δ change−1.39 to 0.63−14.70 to 5.32[EMPTY_CELL]
% Legs Fat[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Baseline32.7±10.229.9±13.2[EMPTY_CELL]
6-m post32.3±9.325.1±8.9[EMPTY_CELL]
Δ Change- 0.37±2.71- 4.86±11.03[EMPTY_CELL]
95% CI of Δ change−1.86 to 1.12−15.05 to 5.28[EMPTY_CELL]
Total LBM (Kg)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Baseline45.3±7.847.7±5.4[EMPTY_CELL]
6-m post46.7±8.3†49.8±3.4[EMPTY_CELL]
Δ Change1.38±1.232.12±4.85[EMPTY_CELL]
95% CI of Δ change2.06 to 0.706.61 to −2.37[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Variables\", \"bbox\": [1, 4, 34, 13]}, {\"cell\": \"Exercise group\", \"bbox\": [141, 4, 194, 13]}, {\"cell\": \"Dopamine agonists group\", \"bbox\": [267, 4, 359, 13]}, {\"cell\": \"Placebo group\", \"bbox\": [432, 4, 484, 13]}, {\"cell\": \"DEXA-derived data\", \"bbox\": [1, 17, 68, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Total Body Fat (%)\", \"bbox\": [1, 31, 67, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Baseline\", \"bbox\": [1, 45, 28, 54]}, {\"cell\": \"30.9±9.0\", \"bbox\": [153, 45, 182, 54]}, {\"cell\": \"31.9±11.2\", \"bbox\": [297, 45, 329, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 45, 472, 54]}, {\"cell\": \"6-m post\", \"bbox\": [1, 59, 31, 68]}, {\"cell\": \"30.5±8.1\", \"bbox\": [153, 59, 182, 68]}, {\"cell\": \"27.1±7.5\", \"bbox\": [299, 59, 327, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 59, 472, 68]}, {\"cell\": \"Δ Change\", \"bbox\": [1, 73, 35, 82]}, {\"cell\": \"- 0.38±1.83\", \"bbox\": [149, 73, 186, 82]}, {\"cell\": \"- 4.71±10.86\", \"bbox\": [292, 73, 333, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [442, 73, 474, 82]}, {\"cell\": \"95% CI of Δ change\", \"bbox\": [1, 87, 67, 96]}, {\"cell\": \"−1.39 to 0.63\", \"bbox\": [145, 87, 189, 96]}, {\"cell\": \"−14.70 to 5.32\", \"bbox\": [289, 87, 337, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [439, 87, 478, 96]}, {\"cell\": \"% Legs Fat\", \"bbox\": [1, 101, 41, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Baseline\", \"bbox\": [1, 115, 28, 124]}, {\"cell\": \"32.7±10.2\", \"bbox\": [151, 115, 184, 124]}, {\"cell\": \"29.9±13.2\", \"bbox\": [297, 115, 329, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 115, 472, 124]}, {\"cell\": \"6-m post\", \"bbox\": [1, 129, 31, 138]}, {\"cell\": \"32.3±9.3\", \"bbox\": [153, 129, 182, 138]}, {\"cell\": \"25.1±8.9\", \"bbox\": [299, 129, 327, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 129, 472, 138]}, {\"cell\": \"Δ Change\", \"bbox\": [1, 143, 35, 152]}, {\"cell\": \"- 0.37±2.71\", \"bbox\": [149, 143, 186, 152]}, {\"cell\": \"- 4.86±11.03\", \"bbox\": [292, 143, 333, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [442, 143, 474, 152]}, {\"cell\": \"95% CI of Δ change\", \"bbox\": [1, 157, 67, 166]}, {\"cell\": \"−1.86 to 1.12\", \"bbox\": [145, 157, 189, 166]}, {\"cell\": \"−15.05 to 5.28\", \"bbox\": [289, 157, 337, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [436, 157, 480, 166]}, {\"cell\": \"Total LBM (Kg)\", \"bbox\": [1, 171, 54, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Baseline\", \"bbox\": [1, 185, 28, 194]}, {\"cell\": \"45.3±7.8\", \"bbox\": [153, 185, 182, 194]}, {\"cell\": \"47.7±5.4\", \"bbox\": [299, 185, 327, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 185, 472, 194]}, {\"cell\": \"6-m post\", \"bbox\": [1, 199, 31, 208]}, {\"cell\": \"46.7±8.3†\", \"bbox\": [151, 199, 184, 208]}, {\"cell\": \"49.8±3.4\", \"bbox\": [299, 199, 327, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 199, 472, 208]}, {\"cell\": \"Δ Change\", \"bbox\": [1, 213, 35, 222]}, {\"cell\": \"1.38±1.23\", \"bbox\": [151, 213, 184, 222]}, {\"cell\": \"2.12±4.85\", \"bbox\": [297, 213, 329, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [440, 213, 477, 222]}, {\"cell\": \"95% CI of Δ change\", \"bbox\": [1, 227, 67, 236]}, {\"cell\": \"2.06 to 0.70\", \"bbox\": [148, 227, 187, 236]}, {\"cell\": \"6.61 to −2.37\", \"bbox\": [291, 227, 335, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 227, 482, 236]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3847208_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Overall (n = 1369)Urban (n = 542)Rural (n = 561)Institutionalized (n = 266)p
SF-36v2[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Physical functioning (PF)48.06 ± 9.9348.92 ± 8.5449.97 ± 8.91[EMPTY_CELL]<0.0001
Role-physical (RP)48.41 ± 10.8651.40 ± 9.0446.61 ± 11.61[EMPTY_CELL]<0.0001
Bodily pain (BP)50.66 ± 12.1751.40 ± 11.7150.38 ± 12.52[EMPTY_CELL]0.1490
General health (GH)45.76 ± 11.8645.47 ± 12.0345.85 ± 11.70[EMPTY_CELL]0.7354
Vitality (VT)56.37 ± 11.1056.82 ± 10.5156.83 ± 11.24[EMPTY_CELL]<0.0077
Social functioning (SF)50.95 ± 10.2753.10 ± 8.8850.12 ± 10.49[EMPTY_CELL]<0.0001
Role-emotional (RE)50.23 ± 9.6152.70 ± 7.4248.33 ± 10.56[EMPTY_CELL]<0.0001
Mental health (MH)53.88 ± 10.3355.14 ± 9.4152.88 ± 11.29[EMPTY_CELL]<0.0010
Physical component summary (PCS)47.05 ± 9.9547.87 ± 9.2747.76 ± 9.79[EMPTY_CELL]<0.0001
Mental component summary (MCS)54.38 ± 9.9256.12 ± 8.4052.77 ± 10.90[EMPTY_CELL]<0.0001
WHOQOL-OLD[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Sensory abilities (SAB)74.74 ± 22.3077.72 ± 20.5572.17 ± 22.99[EMPTY_CELL]0.0002
Autonomy (AUT)71.23 ± 19.9373.99 ± 20.3270.10 ± 18.55[EMPTY_CELL]0.0001
Past, present and future activities (PPF) 72.10 ± 14.9471.83 ± 14.9974.52 ± 14.10[EMPTY_CELL]<0.0001
Social participation (SOP)68.29 ± 16.4566.90 ± 16.2070.58 ± 15.51[EMPTY_CELL]0.0001
Death and dying (DAD)88.31 ± 18.3287.00 ± 18.8589.45 ± 18.36[EMPTY_CELL]0.0831
Intimacy (INT)63.42 ± 23.9968.23 ± 22.0160.90 ± 25.24[EMPTY_CELL]<0.0001
WHOQOL-OLD total73.01 ± 11.9974.28 ± 12.0872.95 ± 11.46[EMPTY_CELL]0.0002
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Overall (n = 1369)\", \"bbox\": [164, 4, 199, 23]}, {\"cell\": \"Urban (n = 542)\", \"bbox\": [228, 4, 259, 23]}, {\"cell\": \"Rural (n = 561)\", \"bbox\": [288, 4, 319, 23]}, {\"cell\": \"Institutionalized (n = 266)\", \"bbox\": [336, 4, 396, 23]}, {\"cell\": \"p\", \"bbox\": [410, 11, 416, 18]}, {\"cell\": \"SF-36v2\", \"bbox\": [6, 27, 34, 37]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Physical functioning (PF)\", \"bbox\": [13, 36, 100, 46]}, {\"cell\": \"48.06 ± 9.93\", \"bbox\": [160, 36, 202, 46]}, {\"cell\": \"48.92 ± 8.54\", \"bbox\": [222, 36, 265, 46]}, {\"cell\": \"49.97 ± 8.91\", \"bbox\": [282, 36, 325, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 36, 386, 46]}, {\"cell\": \"<0.0001\", \"bbox\": [400, 36, 427, 46]}, {\"cell\": \" Role-physical (RP)\", \"bbox\": [13, 46, 78, 55]}, {\"cell\": \"48.41 ± 10.86\", \"bbox\": [158, 46, 204, 55]}, {\"cell\": \"51.40 ± 9.04\", \"bbox\": [222, 46, 265, 55]}, {\"cell\": \"46.61 ± 11.61\", \"bbox\": [280, 46, 327, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 46, 386, 55]}, {\"cell\": \"<0.0001\", \"bbox\": [400, 46, 427, 55]}, {\"cell\": \" Bodily pain (BP)\", \"bbox\": [13, 55, 71, 65]}, {\"cell\": \"50.66 ± 12.17\", \"bbox\": [158, 55, 204, 65]}, {\"cell\": \"51.40 ± 11.71\", \"bbox\": [221, 55, 267, 65]}, {\"cell\": \"50.38 ± 12.52\", \"bbox\": [280, 55, 327, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 55, 386, 65]}, {\"cell\": \"0.1490\", \"bbox\": [402, 55, 425, 65]}, {\"cell\": \" General health (GH)\", \"bbox\": [13, 64, 84, 74]}, {\"cell\": \"45.76 ± 11.86\", \"bbox\": [158, 64, 204, 74]}, {\"cell\": \"45.47 ± 12.03\", \"bbox\": [221, 64, 267, 74]}, {\"cell\": \"45.85 ± 11.70\", \"bbox\": [280, 64, 327, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 64, 386, 74]}, {\"cell\": \"0.7354\", \"bbox\": [402, 64, 425, 74]}, {\"cell\": \" Vitality (VT)\", \"bbox\": [13, 74, 57, 83]}, {\"cell\": \"56.37 ± 11.10\", \"bbox\": [158, 74, 204, 83]}, {\"cell\": \"56.82 ± 10.51\", \"bbox\": [221, 74, 267, 83]}, {\"cell\": \"56.83 ± 11.24\", \"bbox\": [280, 74, 327, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 74, 386, 83]}, {\"cell\": \"<0.0077\", \"bbox\": [400, 74, 427, 83]}, {\"cell\": \" Social functioning (SF)\", \"bbox\": [13, 83, 91, 93]}, {\"cell\": \"50.95 ± 10.27\", \"bbox\": [158, 83, 204, 93]}, {\"cell\": \"53.10 ± 8.88\", \"bbox\": [222, 83, 265, 93]}, {\"cell\": \"50.12 ± 10.49\", \"bbox\": [280, 83, 327, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 83, 386, 93]}, {\"cell\": \"<0.0001\", \"bbox\": [400, 83, 427, 93]}, {\"cell\": \" Role-emotional (RE)\", \"bbox\": [13, 92, 83, 102]}, {\"cell\": \"50.23 ± 9.61\", \"bbox\": [160, 92, 202, 102]}, {\"cell\": \"52.70 ± 7.42\", \"bbox\": [222, 92, 265, 102]}, {\"cell\": \"48.33 ± 10.56\", \"bbox\": [280, 92, 327, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 92, 386, 102]}, {\"cell\": \"<0.0001\", \"bbox\": [400, 92, 427, 102]}, {\"cell\": \" Mental health (MH)\", \"bbox\": [13, 102, 82, 111]}, {\"cell\": \"53.88 ± 10.33\", \"bbox\": [158, 102, 204, 111]}, {\"cell\": \"55.14 ± 9.41\", \"bbox\": [222, 102, 265, 111]}, {\"cell\": \"52.88 ± 11.29\", \"bbox\": [280, 102, 327, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [342, 102, 384, 111]}, {\"cell\": \"<0.0010\", \"bbox\": [400, 102, 427, 111]}, {\"cell\": \" Physical component summary (PCS)\", \"bbox\": [13, 111, 139, 121]}, {\"cell\": \"47.05 ± 9.95\", \"bbox\": [160, 111, 202, 121]}, {\"cell\": \"47.87 ± 9.27\", \"bbox\": [222, 111, 265, 121]}, {\"cell\": \"47.76 ± 9.79\", \"bbox\": [282, 111, 325, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 111, 386, 121]}, {\"cell\": \"<0.0001\", \"bbox\": [400, 111, 427, 121]}, {\"cell\": \" Mental component summary (MCS)\", \"bbox\": [13, 120, 137, 130]}, {\"cell\": \"54.38 ± 9.92\", \"bbox\": [160, 120, 202, 130]}, {\"cell\": \"56.12 ± 8.40\", \"bbox\": [222, 120, 265, 130]}, {\"cell\": \"52.77 ± 10.90\", \"bbox\": [280, 120, 327, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 120, 386, 130]}, {\"cell\": \"<0.0001\", \"bbox\": [400, 120, 427, 130]}, {\"cell\": \"WHOQOL-OLD\", \"bbox\": [6, 134, 63, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Sensory abilities (SAB)\", \"bbox\": [13, 143, 92, 153]}, {\"cell\": \"74.74 ± 22.30\", \"bbox\": [158, 143, 204, 153]}, {\"cell\": \"77.72 ± 20.55\", \"bbox\": [221, 143, 267, 153]}, {\"cell\": \"72.17 ± 22.99\", \"bbox\": [280, 143, 327, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 143, 386, 153]}, {\"cell\": \"0.0002\", \"bbox\": [402, 143, 425, 153]}, {\"cell\": \" Autonomy (AUT)\", \"bbox\": [13, 153, 75, 162]}, {\"cell\": \"71.23 ± 19.93\", \"bbox\": [158, 153, 204, 162]}, {\"cell\": \"73.99 ± 20.32\", \"bbox\": [221, 153, 267, 162]}, {\"cell\": \"70.10 ± 18.55\", \"bbox\": [280, 153, 327, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 153, 386, 162]}, {\"cell\": \"0.0001\", \"bbox\": [402, 153, 425, 162]}, {\"cell\": \" Past, present and future activities (PPF) \", \"bbox\": [13, 162, 146, 172]}, {\"cell\": \"72.10 ± 14.94\", \"bbox\": [158, 162, 204, 172]}, {\"cell\": \"71.83 ± 14.99\", \"bbox\": [221, 162, 267, 172]}, {\"cell\": \"74.52 ± 14.10\", \"bbox\": [280, 162, 327, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 162, 386, 172]}, {\"cell\": \"<0.0001\", \"bbox\": [400, 162, 427, 172]}, {\"cell\": \" Social participation (SOP)\", \"bbox\": [13, 171, 102, 181]}, {\"cell\": \"68.29 ± 16.45\", \"bbox\": [158, 171, 204, 181]}, {\"cell\": \"66.90 ± 16.20\", \"bbox\": [221, 171, 267, 181]}, {\"cell\": \"70.58 ± 15.51\", \"bbox\": [280, 171, 327, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 171, 386, 181]}, {\"cell\": \"0.0001\", \"bbox\": [402, 171, 425, 181]}, {\"cell\": \" Death and dying (DAD)\", \"bbox\": [13, 181, 97, 190]}, {\"cell\": \"88.31 ± 18.32\", \"bbox\": [158, 181, 204, 190]}, {\"cell\": \"87.00 ± 18.85\", \"bbox\": [221, 181, 267, 190]}, {\"cell\": \"89.45 ± 18.36\", \"bbox\": [280, 181, 327, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 181, 386, 190]}, {\"cell\": \"0.0831\", \"bbox\": [402, 181, 425, 190]}, {\"cell\": \" Intimacy (INT)\", \"bbox\": [13, 190, 66, 200]}, {\"cell\": \"63.42 ± 23.99\", \"bbox\": [158, 190, 204, 200]}, {\"cell\": \"68.23 ± 22.01\", \"bbox\": [221, 190, 267, 200]}, {\"cell\": \"60.90 ± 25.24\", \"bbox\": [280, 190, 327, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 190, 386, 200]}, {\"cell\": \"<0.0001\", \"bbox\": [400, 190, 427, 200]}, {\"cell\": \" WHOQOL-OLD total\", \"bbox\": [13, 199, 88, 209]}, {\"cell\": \"73.01 ± 11.99\", \"bbox\": [158, 199, 204, 209]}, {\"cell\": \"74.28 ± 12.08\", \"bbox\": [221, 199, 267, 209]}, {\"cell\": \"72.95 ± 11.46\", \"bbox\": [280, 199, 327, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 199, 386, 209]}, {\"cell\": \"0.0002\", \"bbox\": [402, 199, 425, 209]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5858325_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariablesTotalOPDWardp value
n = 621 (%)n = 305 (%)n = 316 (%)
Body temperature considered to give antipyretics (°C)
≥ 37[EMPTY_CELL]20 (6.6)9 (2.8)[EMPTY_CELL]
≥ 38[EMPTY_CELL]123 (40.3)125 (39.6)[EMPTY_CELL]
≥ 38.5[EMPTY_CELL]137 (44.9)149 (47.2)[EMPTY_CELL]
≥ 39[EMPTY_CELL]22 (7.2)33 (10.4)[EMPTY_CELL]
Unknown[EMPTY_CELL]3 (1.0)0 (0.0)0.046
Antipyretics used
Ibuprofen[EMPTY_CELL]246 (80.7)247 (78.2)[EMPTY_CELL]
Acetaminophen[EMPTY_CELL]29 (9.5)30 (9.5)[EMPTY_CELL]
Ibuprofen &Acetaminophen[EMPTY_CELL]12 (3.9)15 (4.7)[EMPTY_CELL]
Aspirin[EMPTY_CELL]0 (0.0)2 (0.6)[EMPTY_CELL]
Banlangena[EMPTY_CELL]0 (0.0)1 (0.3)[EMPTY_CELL]
Qingkailingkelib[EMPTY_CELL]1 (0.2)2 (0.6)[EMPTY_CELL]
Chaihukoufuyec[EMPTY_CELL]1 (0.2)1 (0.3)[EMPTY_CELL]
Compound Xinbu Granulesd[EMPTY_CELL]1 (0.2)2 (0.6)[EMPTY_CELL]
Niuhuangsuankelie[EMPTY_CELL]1 (0.2)2 (0.6)[EMPTY_CELL]
Xiaoerqingrejiekelif[EMPTY_CELL]1 (0.2)2 (0.6)[EMPTY_CELL]
Unknown[EMPTY_CELL]13 (4.3)12 (3.8)0.634
Giving antipyretics during sleep
Yes[EMPTY_CELL]192 (63.0)230 (72.8)[EMPTY_CELL]
No[EMPTY_CELL]113 (37.0)86 (27.2)0.009
Where to get antipyretics
Drugstore[EMPTY_CELL]89 (29.2)121 (38.3)[EMPTY_CELL]
Hospital[EMPTY_CELL]203 (66.6)178 (56.3)[EMPTY_CELL]
Drugstore & Hospital[EMPTY_CELL]13 (4.3)17 (5.4)0.032
The method of physical cooling
Tepid sponging[EMPTY_CELL]136 (44.6)151 (47.8)0.469
Cold sponging[EMPTY_CELL]15 (4.9)2 (0.6)0.001
Cold toweling[EMPTY_CELL]75 (24.6)108 (34.2)0.01
Alcohol sponging[EMPTY_CELL]58 (19.0)63 (19.9)0.803
Fever cooling patch[EMPTY_CELL]27 (8.9)38 (12.0)0.197
Unknown/No[EMPTY_CELL]26 (8.5)21 (6.6)0.376
Wine[EMPTY_CELL]0 (0.0)2 (0.6)0.499
\", \"cells\": [{\"cell\": \"Variables\", \"bbox\": [1, 4, 30, 13]}, {\"cell\": \"Total\", \"bbox\": [162, 4, 180, 13]}, {\"cell\": \"OPD\", \"bbox\": [260, 4, 277, 13]}, {\"cell\": \"Ward\", \"bbox\": [359, 4, 378, 13]}, {\"cell\": \"p value\", \"bbox\": [457, 4, 483, 13]}, {\"cell\": \"n = 621 (%)\", \"bbox\": [162, 17, 200, 27]}, {\"cell\": \"n = 305 (%)\", \"bbox\": [260, 17, 298, 27]}, {\"cell\": \"n = 316 (%)\", \"bbox\": [359, 17, 397, 27]}, {\"cell\": \"Body temperature considered to give antipyretics (°C)\", \"bbox\": [1, 30, 175, 40]}, {\"cell\": \" ≥ 37\", \"bbox\": [8, 44, 25, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [168, 44, 193, 54]}, {\"cell\": \"20 (6.6)\", \"bbox\": [267, 44, 292, 54]}, {\"cell\": \"9 (2.8)\", \"bbox\": [369, 44, 390, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" ≥ 38\", \"bbox\": [8, 58, 25, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [164, 58, 197, 68]}, {\"cell\": \"123 (40.3)\", \"bbox\": [263, 58, 296, 68]}, {\"cell\": \"125 (39.6)\", \"bbox\": [361, 58, 394, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" ≥ 38.5\", \"bbox\": [8, 72, 30, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [164, 72, 197, 82]}, {\"cell\": \"137 (44.9)\", \"bbox\": [263, 72, 296, 82]}, {\"cell\": \"149 (47.2)\", \"bbox\": [361, 72, 394, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" ≥ 39\", \"bbox\": [8, 86, 25, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [168, 86, 193, 96]}, {\"cell\": \"22 (7.2)\", \"bbox\": [267, 86, 292, 96]}, {\"cell\": \"33 (10.4)\", \"bbox\": [365, 86, 394, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Unknown\", \"bbox\": [8, 100, 41, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [172, 100, 193, 110]}, {\"cell\": \"3 (1.0)\", \"bbox\": [271, 100, 292, 110]}, {\"cell\": \"0 (0.0)\", \"bbox\": [369, 100, 390, 110]}, {\"cell\": \"0.046\", \"bbox\": [462, 100, 480, 110]}, {\"cell\": \"Antipyretics used\", \"bbox\": [1, 114, 58, 124]}, {\"cell\": \" Ibuprofen\", \"bbox\": [8, 128, 42, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [164, 128, 197, 138]}, {\"cell\": \"246 (80.7)\", \"bbox\": [263, 128, 296, 138]}, {\"cell\": \"247 (78.2)\", \"bbox\": [361, 128, 394, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Acetaminophen\", \"bbox\": [8, 142, 62, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [168, 142, 193, 152]}, {\"cell\": \"29 (9.5)\", \"bbox\": [267, 142, 292, 152]}, {\"cell\": \"30 (9.5)\", \"bbox\": [365, 142, 390, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Ibuprofen &Acetaminophen\", \"bbox\": [8, 156, 100, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [168, 156, 193, 166]}, {\"cell\": \"12 (3.9)\", \"bbox\": [267, 156, 292, 166]}, {\"cell\": \"15 (4.7)\", \"bbox\": [365, 156, 390, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Aspirin\", \"bbox\": [8, 170, 32, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [172, 170, 193, 180]}, {\"cell\": \"0 (0.0)\", \"bbox\": [271, 170, 292, 180]}, {\"cell\": \"2 (0.6)\", \"bbox\": [369, 170, 390, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Banlangena\", \"bbox\": [8, 183, 47, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [172, 184, 193, 194]}, {\"cell\": \"0 (0.0)\", \"bbox\": [271, 184, 292, 194]}, {\"cell\": \"1 (0.3)\", \"bbox\": [369, 184, 390, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Qingkailingkelib\", \"bbox\": [8, 197, 60, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [172, 198, 193, 208]}, {\"cell\": \"1 (0.2)\", \"bbox\": [271, 198, 292, 208]}, {\"cell\": \"2 (0.6)\", \"bbox\": [369, 198, 390, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Chaihukoufuyec\", \"bbox\": [8, 211, 61, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [172, 212, 193, 222]}, {\"cell\": \"1 (0.2)\", \"bbox\": [271, 212, 292, 222]}, {\"cell\": \"1 (0.3)\", \"bbox\": [369, 212, 390, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Compound Xinbu Granulesd\", \"bbox\": [8, 225, 101, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [172, 226, 193, 236]}, {\"cell\": \"1 (0.2)\", \"bbox\": [271, 226, 292, 236]}, {\"cell\": \"2 (0.6)\", \"bbox\": [369, 226, 390, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Niuhuangsuankelie\", \"bbox\": [8, 239, 70, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [172, 240, 193, 250]}, {\"cell\": \"1 (0.2)\", \"bbox\": [271, 240, 292, 250]}, {\"cell\": \"2 (0.6)\", \"bbox\": [369, 240, 390, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Xiaoerqingrejiekelif\", \"bbox\": [8, 253, 70, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [172, 254, 193, 264]}, {\"cell\": \"1 (0.2)\", \"bbox\": [271, 254, 292, 264]}, {\"cell\": \"2 (0.6)\", \"bbox\": [369, 254, 390, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Unknown\", \"bbox\": [8, 268, 41, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [168, 268, 193, 278]}, {\"cell\": \"13 (4.3)\", \"bbox\": [267, 268, 292, 278]}, {\"cell\": \"12 (3.8)\", \"bbox\": [365, 268, 390, 278]}, {\"cell\": \"0.634\", \"bbox\": [462, 268, 480, 278]}, {\"cell\": \"Giving antipyretics during sleep\", \"bbox\": [1, 282, 104, 292]}, {\"cell\": \" Yes\", \"bbox\": [8, 296, 21, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [164, 296, 197, 306]}, {\"cell\": \"192 (63.0)\", \"bbox\": [263, 296, 296, 306]}, {\"cell\": \"230 (72.8)\", \"bbox\": [361, 296, 394, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" No\", \"bbox\": [8, 310, 20, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [164, 310, 197, 320]}, {\"cell\": \"113 (37.0)\", \"bbox\": [263, 310, 296, 320]}, {\"cell\": \"86 (27.2)\", \"bbox\": [365, 310, 394, 320]}, {\"cell\": \"0.009\", \"bbox\": [462, 310, 480, 320]}, {\"cell\": \"Where to get antipyretics\", \"bbox\": [1, 324, 84, 334]}, {\"cell\": \" Drugstore\", \"bbox\": [8, 338, 42, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [164, 338, 197, 348]}, {\"cell\": \"89 (29.2)\", \"bbox\": [267, 338, 296, 348]}, {\"cell\": \"121 (38.3)\", \"bbox\": [361, 338, 394, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Hospital\", \"bbox\": [8, 352, 36, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [164, 352, 197, 362]}, {\"cell\": \"203 (66.6)\", \"bbox\": [263, 352, 296, 362]}, {\"cell\": \"178 (56.3)\", \"bbox\": [361, 352, 394, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Drugstore & Hospital\", \"bbox\": [8, 366, 77, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [168, 366, 193, 376]}, {\"cell\": \"13 (4.3)\", \"bbox\": [267, 366, 292, 376]}, {\"cell\": \"17 (5.4)\", \"bbox\": [365, 366, 390, 376]}, {\"cell\": \"0.032\", \"bbox\": [462, 366, 480, 376]}, {\"cell\": \"The method of physical cooling\", \"bbox\": [1, 380, 105, 390]}, {\"cell\": \" Tepid sponging\", \"bbox\": [8, 394, 61, 404]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [164, 394, 197, 404]}, {\"cell\": \"136 (44.6)\", \"bbox\": [263, 394, 296, 404]}, {\"cell\": \"151 (47.8)\", \"bbox\": [361, 394, 394, 404]}, {\"cell\": \"0.469\", \"bbox\": [462, 394, 480, 404]}, {\"cell\": \" Cold sponging\", \"bbox\": [8, 408, 58, 418]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [168, 408, 193, 418]}, {\"cell\": \"15 (4.9)\", \"bbox\": [267, 408, 292, 418]}, {\"cell\": \"2 (0.6)\", \"bbox\": [369, 408, 390, 418]}, {\"cell\": \"0.001\", \"bbox\": [462, 408, 480, 418]}, {\"cell\": \" Cold toweling\", \"bbox\": [8, 422, 56, 432]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [168, 422, 197, 432]}, {\"cell\": \"75 (24.6)\", \"bbox\": [267, 422, 296, 432]}, {\"cell\": \"108 (34.2)\", \"bbox\": [361, 422, 394, 432]}, {\"cell\": \"0.01\", \"bbox\": [462, 422, 476, 432]}, {\"cell\": \" Alcohol sponging\", \"bbox\": [8, 436, 67, 446]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [164, 436, 197, 446]}, {\"cell\": \"58 (19.0)\", \"bbox\": [267, 436, 296, 446]}, {\"cell\": \"63 (19.9)\", \"bbox\": [365, 436, 394, 446]}, {\"cell\": \"0.803\", \"bbox\": [462, 436, 480, 446]}, {\"cell\": \" Fever cooling patch\", \"bbox\": [8, 450, 74, 460]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [168, 450, 197, 460]}, {\"cell\": \"27 (8.9)\", \"bbox\": [267, 450, 292, 460]}, {\"cell\": \"38 (12.0)\", \"bbox\": [365, 450, 394, 460]}, {\"cell\": \"0.197\", \"bbox\": [462, 450, 480, 460]}, {\"cell\": \" Unknown/No\", \"bbox\": [8, 464, 54, 474]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [168, 464, 193, 474]}, {\"cell\": \"26 (8.5)\", \"bbox\": [267, 464, 292, 474]}, {\"cell\": \"21 (6.6)\", \"bbox\": [365, 464, 390, 474]}, {\"cell\": \"0.376\", \"bbox\": [462, 464, 480, 474]}, {\"cell\": \" Wine\", \"bbox\": [8, 478, 27, 488]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [172, 478, 193, 488]}, {\"cell\": \"0 (0.0)\", \"bbox\": [271, 478, 292, 488]}, {\"cell\": \"2 (0.6)\", \"bbox\": [369, 478, 390, 488]}, {\"cell\": \"0.499\", \"bbox\": [462, 478, 480, 488]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4612412_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
IPS practice principleDescription
[EMPTY_CELL]Competitive employment is the goalWork in the competitive job market alongside with others without psychiatric disabilities is aimed for
[EMPTY_CELL]IPS supported employment is integrated with treatmentThus, an exchange of information between job coach and therapist concerning work, side effects, etc. is provided
[EMPTY_CELL]Zero exclusion: eligibility is based on client choiceRegardless of symptoms or other obstacles, every person with severe mental illness who wants to work is eligible for IPS
[EMPTY_CELL]Attention to client preferencesThe client decides on which job to search and whether to disclose his disorder
[EMPTY_CELL]Benefits counseling is importantThe job coach provides guidance concerning government entitlements, such as social securities for the client
[EMPTY_CELL]Rapid job searchNo pre-employment assessment or training is done; a job is searched for right away
[EMPTY_CELL]Systematic job developmentRelationships between job coaches and employers are developed, networking is important
[EMPTY_CELL]Time unlimited supportFollow-along support is continued individually as long as the client needs it
\", \"cells\": [{\"cell\": \"IPS practice principle\", \"bbox\": [0, 6, 74, 15]}, {\"cell\": \"Description\", \"bbox\": [94, 6, 134, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 23, 6, 32]}, {\"cell\": \"Competitive employment is the goal\", \"bbox\": [9, 23, 86, 41]}, {\"cell\": \"Work in the competitive job market alongside with others without psychiatric disabilities is aimed for\", \"bbox\": [94, 23, 245, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 45, 6, 54]}, {\"cell\": \"IPS supported employment is integrated with treatment\", \"bbox\": [9, 45, 86, 73]}, {\"cell\": \"Thus, an exchange of information between job coach and therapist concerning work, side effects, etc. is provided\", \"bbox\": [94, 45, 235, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 77, 6, 85]}, {\"cell\": \"Zero exclusion: eligibility is based on client choice\", \"bbox\": [9, 77, 85, 95]}, {\"cell\": \"Regardless of symptoms or other obstacles, every person with severe mental illness who wants to work is eligible for IPS\", \"bbox\": [94, 77, 246, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 108, 6, 117]}, {\"cell\": \"Attention to client preferences\", \"bbox\": [9, 108, 63, 126]}, {\"cell\": \"The client decides on which job to search and whether to disclose his disorder\", \"bbox\": [94, 108, 234, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 130, 6, 139]}, {\"cell\": \"Benefits counseling is important\", \"bbox\": [9, 130, 76, 148]}, {\"cell\": \"The job coach provides guidance concerning government entitlements, such as social securities for the client\", \"bbox\": [94, 130, 246, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 162, 6, 170]}, {\"cell\": \"Rapid job search\", \"bbox\": [9, 162, 61, 170]}, {\"cell\": \"No pre-employment assessment or training is done; a job is searched for right away\", \"bbox\": [94, 162, 232, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 184, 6, 192]}, {\"cell\": \"Systematic job development\", \"bbox\": [9, 184, 55, 202]}, {\"cell\": \"Relationships between job coaches and employers are developed, networking is important\", \"bbox\": [94, 184, 246, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 206, 6, 214]}, {\"cell\": \"Time unlimited support\", \"bbox\": [9, 206, 80, 214]}, {\"cell\": \"Follow-along support is continued individually as long as the client needs it\", \"bbox\": [94, 206, 241, 224]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5029174_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Patient IDOnset, diagnosis (Age)ERT start (Age)Biopsy site; time on ERTPathology/% fibers with lipofuscin inclusionsClinical status (Current age)
D3*5 mo1 y, 4 moVL†; 3 y, 10 moMild-to-moderate lysosomal expansion in most fibers; autophagic accumulation with inclusions in ~88% of fibers[EMPTY_CELL]
1 y, 3 mo
CLINM13 y13.6 yQuad; 8 moNormal biopsy[EMPTY_CELL]
[EMPTY_CELL]13.5 y[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
HM14 mo‡3 yQuad; 6 yProminent lysosomal expansion in ~30% of fibers; atrophy; autophagic accumulation with Inclusions in ~77% of fibers; ~15% of fibers are completely destroyed[EMPTY_CELL]
4 mo
HM37 mo‡10 yQuad; 6 yMost fibers completely destroyed; extensive damage obscures underlying pathology[EMPTY_CELL]
7 mo
HM55 y6.5 yQuad; 7 y~ 80% of fibers completely destroyed, autophagic accumulation with inclusions in the remaining fibers[EMPTY_CELL]
~5 y
NBSL9a§6.5 y7 yQuad; baselineMild-to-moderate lysosomal expansion; inclusions in almost every fiber[EMPTY_CELL]
[EMPTY_CELL]6.5 y[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Patient ID\", \"bbox\": [1, 4, 37, 13]}, {\"cell\": \"Onset, diagnosis (Age)\", \"bbox\": [49, 4, 108, 22]}, {\"cell\": \"ERT start (Age)\", \"bbox\": [120, 4, 153, 22]}, {\"cell\": \"Biopsy site; time on ERT\", \"bbox\": [169, 4, 213, 22]}, {\"cell\": \"Pathology/% fibers with lipofuscin inclusions\", \"bbox\": [228, 4, 350, 22]}, {\"cell\": \"Clinical status (Current age)\", \"bbox\": [374, 4, 472, 13]}, {\"cell\": \"D3*\", \"bbox\": [0, 26, 15, 36]}, {\"cell\": \"5 mo\", \"bbox\": [69, 26, 88, 36]}, {\"cell\": \"1 y, 4 mo\", \"bbox\": [121, 26, 153, 36]}, {\"cell\": \"VL†; 3 y, 10 mo\", \"bbox\": [165, 25, 216, 36]}, {\"cell\": \"Mild-to-moderate lysosomal expansion in most fibers; autophagic accumulation with inclusions in ~88% of fibers\", \"bbox\": [229, 26, 349, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [365, 26, 482, 63]}, {\"cell\": \"1 y, 3 mo\", \"bbox\": [62, 40, 95, 50]}, {\"cell\": \"CLINM\", \"bbox\": [1, 67, 23, 77]}, {\"cell\": \"13 y\", \"bbox\": [69, 65, 88, 77]}, {\"cell\": \"13.6 y\", \"bbox\": [127, 67, 147, 77]}, {\"cell\": \"Quad; 8 mo\", \"bbox\": [171, 67, 211, 77]}, {\"cell\": \"Normal biopsy\", \"bbox\": [265, 67, 314, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [369, 67, 477, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"13.5 y\", \"bbox\": [68, 99, 89, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"HM1\", \"bbox\": [1, 113, 17, 123]}, {\"cell\": \"4 mo‡\", \"bbox\": [68, 112, 90, 123]}, {\"cell\": \"3 y\", \"bbox\": [131, 113, 143, 123]}, {\"cell\": \"Quad; 6 y\", \"bbox\": [174, 113, 207, 123]}, {\"cell\": \"Prominent lysosomal expansion in ~30% of fibers; atrophy; autophagic accumulation with Inclusions in ~77% of fibers; ~15% of fibers are completely destroyed\", \"bbox\": [229, 113, 350, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [362, 113, 484, 168]}, {\"cell\": \"4 mo\", \"bbox\": [69, 127, 88, 137]}, {\"cell\": \"HM3\", \"bbox\": [1, 172, 17, 182]}, {\"cell\": \"7 mo‡\", \"bbox\": [68, 171, 90, 182]}, {\"cell\": \"10 y\", \"bbox\": [129, 172, 145, 182]}, {\"cell\": \"Quad; 6 y\", \"bbox\": [174, 172, 207, 182]}, {\"cell\": \"Most fibers completely destroyed; extensive damage obscures underlying pathology\", \"bbox\": [234, 172, 344, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [369, 172, 478, 227]}, {\"cell\": \"7 mo\", \"bbox\": [69, 186, 88, 196]}, {\"cell\": \"HM5\", \"bbox\": [1, 231, 17, 241]}, {\"cell\": \"5 y\", \"bbox\": [73, 231, 85, 241]}, {\"cell\": \"6.5 y\", \"bbox\": [128, 231, 145, 241]}, {\"cell\": \"Quad; 7 y\", \"bbox\": [174, 231, 207, 241]}, {\"cell\": \"~ 80% of fibers completely destroyed, autophagic accumulation with inclusions in the remaining fibers\", \"bbox\": [230, 231, 349, 268]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [369, 231, 477, 268]}, {\"cell\": \"~5 y\", \"bbox\": [70, 245, 87, 255]}, {\"cell\": \"NBSL9a§\", \"bbox\": [1, 270, 29, 282]}, {\"cell\": \"6.5 y\", \"bbox\": [70, 272, 87, 282]}, {\"cell\": \"7 y\", \"bbox\": [131, 272, 143, 282]}, {\"cell\": \"Quad; baseline\", \"bbox\": [166, 272, 215, 282]}, {\"cell\": \"Mild-to-moderate lysosomal expansion; inclusions in almost every fiber\", \"bbox\": [229, 272, 349, 300]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 272, 462, 282]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"6.5 y\", \"bbox\": [70, 304, 87, 314]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3892035_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Placental tissueNormal pregnant women (n = 32) group 1Preeclamptic pregnant women without IUGR (n = 21) group 2Preeclamptic pregnant women with IUGR (n = 9) group 3 P value
Mean ± SD
OxLDL, μMol/mL/g tissue[EMPTY_CELL] 5.88 ± 4.41 8.09 ± 4.260.058
Estriol, ng/mL/g tissue[EMPTY_CELL] 43.5 ± 24.6* 38.4 ± 20.6*0.001
Median (min-max)
Estradiol,pg/mL/g tissue[EMPTY_CELL]8.2 (5.6–37.2)*11.4 (5.3–61.3)0.007
Progesterone, ng/mL/g tissue[EMPTY_CELL]0.08 (0.06–0.45)*0.11 (0.05–0.97)0.007
\", \"cells\": [{\"cell\": \"Placental tissue\", \"bbox\": [2, 14, 59, 25]}, {\"cell\": \"Normal pregnant women (n = 32) group 1\", \"bbox\": [113, 4, 177, 35]}, {\"cell\": \"Preeclamptic pregnant women without IUGR (n = 21) group 2\", \"bbox\": [219, 4, 301, 37]}, {\"cell\": \"Preeclamptic pregnant women with IUGR (n = 9) group 3 \", \"bbox\": [339, 4, 421, 37]}, {\"cell\": \"P value\", \"bbox\": [463, 11, 492, 27]}, {\"cell\": \"Mean ± SD\", \"bbox\": [229, 34, 272, 50]}, {\"cell\": \"OxLDL, μMol/mL/g tissue\", \"bbox\": [2, 51, 69, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [125, 53, 165, 68]}, {\"cell\": \" 5.88 ± 4.41\", \"bbox\": [240, 47, 280, 63]}, {\"cell\": \" 8.09 ± 4.26\", \"bbox\": [359, 53, 401, 68]}, {\"cell\": \"0.058\", \"bbox\": [467, 56, 488, 66]}, {\"cell\": \"Estriol, ng/mL/g tissue\", \"bbox\": [2, 73, 64, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [126, 75, 164, 91]}, {\"cell\": \" 43.5 ± 24.6*\", \"bbox\": [238, 75, 282, 91]}, {\"cell\": \" 38.4 ± 20.6*\", \"bbox\": [357, 75, 402, 91]}, {\"cell\": \"0.001\", \"bbox\": [467, 79, 489, 87]}, {\"cell\": \"Median (min-max)\", \"bbox\": [215, 97, 286, 107]}, {\"cell\": \"Estradiol,pg/mL/g tissue\", \"bbox\": [2, 110, 58, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [118, 115, 172, 125]}, {\"cell\": \"8.2 (5.6–37.2)*\", \"bbox\": [233, 111, 286, 125]}, {\"cell\": \"11.4 (5.3–61.3)\", \"bbox\": [355, 115, 406, 125]}, {\"cell\": \"0.007 \", \"bbox\": [466, 115, 489, 123]}, {\"cell\": \"Progesterone, ng/mL/g tissue\", \"bbox\": [2, 132, 58, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [116, 132, 174, 143]}, {\"cell\": \"0.08 (0.06–0.45)*\", \"bbox\": [228, 134, 292, 148]}, {\"cell\": \"0.11 (0.05–0.97)\", \"bbox\": [351, 132, 409, 143]}, {\"cell\": \"0.007\", \"bbox\": [466, 138, 489, 146]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3625559_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
ItemBaselineWeek 2Week 4Week 8P (2,0)P (4,0)P (8.0)
Pain severity[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
With tenderness7.60 ± 1.143.60 ± 1.145.00 ± 0.715.60 ± 1.14[EMPTY_CELL]< 0.001< 0.001
Without tenderness7.21 ± 1.033.47 ± 1.434.63 ± 1.385.21 ± 1.03[EMPTY_CELL]< 0.001< 0.001
p-value0.5150.8400.4250.515[EMPTY_CELL]< 0.001< 0.001
Pain frequency[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]< 0.001< 0.001
With tenderness14.40 ± 1.347.40 ± 2.419.00 ± 2.121.00 ± 1.58[EMPTY_CELL]< 0.001< 0.001
Without tenderness11.58 ± 3.736.26 ± 1.637.21 ± 1.969.47 ± 3.70[EMPTY_CELL]< 0.001< 0.001
p-value0.0670.3640.1400.242[EMPTY_CELL]< 0.001< 0.001
Drug use[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]< 0.001< 0.001
With tenderness14.60 ± 1.347.00 ± 1.229.00 ± 1.2212.60 ± 1.34[EMPTY_CELL]< 0.001< 0.001
Without tenderness12.21 ± 3.106.05 ± 1.937.47 ± 2.3410.21 ± 3.10[EMPTY_CELL]< 0.001< 0.001
p-value0.1110.2080.0690.111[EMPTY_CELL]< 0.001< 0.001
\", \"cells\": [{\"cell\": \"Item\", \"bbox\": [1, 4, 19, 14]}, {\"cell\": \"Baseline\", \"bbox\": [112, 4, 145, 14]}, {\"cell\": \"Week 2\", \"bbox\": [169, 4, 198, 14]}, {\"cell\": \"Week 4\", \"bbox\": [226, 4, 255, 14]}, {\"cell\": \"Week 8\", \"bbox\": [282, 4, 311, 14]}, {\"cell\": \"P (2,0)\", \"bbox\": [339, 4, 365, 14]}, {\"cell\": \"P (4,0)\", \"bbox\": [382, 4, 408, 14]}, {\"cell\": \"P (8.0)\", \"bbox\": [424, 4, 450, 14]}, {\"cell\": \"Pain severity\", \"bbox\": [1, 20, 49, 31]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"With tenderness\", \"bbox\": [22, 36, 82, 46]}, {\"cell\": \"7.60 ± 1.14\", \"bbox\": [112, 36, 155, 46]}, {\"cell\": \"3.60 ± 1.14\", \"bbox\": [169, 36, 212, 46]}, {\"cell\": \"5.00 ± 0.71\", \"bbox\": [226, 36, 269, 46]}, {\"cell\": \"5.60 ± 1.14\", \"bbox\": [282, 36, 325, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 36, 369, 46]}, {\"cell\": \"< 0.001\", \"bbox\": [382, 36, 411, 46]}, {\"cell\": \"< 0.001\", \"bbox\": [424, 36, 454, 46]}, {\"cell\": \"Without tenderness\", \"bbox\": [22, 52, 93, 62]}, {\"cell\": \"7.21 ± 1.03\", \"bbox\": [112, 52, 155, 62]}, {\"cell\": \"3.47 ± 1.43\", \"bbox\": [169, 52, 212, 62]}, {\"cell\": \"4.63 ± 1.38\", \"bbox\": [226, 52, 269, 62]}, {\"cell\": \"5.21 ± 1.03\", \"bbox\": [282, 52, 325, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 52, 369, 62]}, {\"cell\": \"< 0.001\", \"bbox\": [382, 52, 411, 62]}, {\"cell\": \"< 0.001\", \"bbox\": [424, 52, 454, 62]}, {\"cell\": \"p-value\", \"bbox\": [22, 67, 51, 77]}, {\"cell\": \"0.515\", \"bbox\": [112, 67, 134, 77]}, {\"cell\": \"0.840\", \"bbox\": [169, 67, 191, 77]}, {\"cell\": \"0.425\", \"bbox\": [226, 67, 248, 77]}, {\"cell\": \"0.515\", \"bbox\": [282, 67, 305, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 67, 369, 77]}, {\"cell\": \"< 0.001\", \"bbox\": [382, 67, 411, 77]}, {\"cell\": \"< 0.001\", \"bbox\": [424, 67, 454, 77]}, {\"cell\": \"Pain frequency\", \"bbox\": [0, 83, 57, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 83, 369, 93]}, {\"cell\": \"< 0.001\", \"bbox\": [382, 83, 411, 93]}, {\"cell\": \"< 0.001\", \"bbox\": [424, 83, 454, 93]}, {\"cell\": \"With tenderness\", \"bbox\": [22, 98, 82, 109]}, {\"cell\": \"14.40 ± 1.34\", \"bbox\": [112, 98, 159, 109]}, {\"cell\": \"7.40 ± 2.41\", \"bbox\": [169, 98, 212, 109]}, {\"cell\": \"9.00 ± 2.12\", \"bbox\": [226, 98, 269, 109]}, {\"cell\": \"1.00 ± 1.58\", \"bbox\": [282, 98, 325, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 98, 369, 109]}, {\"cell\": \"< 0.001\", \"bbox\": [382, 98, 411, 109]}, {\"cell\": \"< 0.001\", \"bbox\": [424, 98, 454, 109]}, {\"cell\": \"Without tenderness\", \"bbox\": [22, 114, 93, 124]}, {\"cell\": \"11.58 ± 3.73\", \"bbox\": [112, 114, 159, 124]}, {\"cell\": \"6.26 ± 1.63\", \"bbox\": [169, 114, 212, 124]}, {\"cell\": \"7.21 ± 1.96\", \"bbox\": [226, 114, 269, 124]}, {\"cell\": \"9.47 ± 3.70\", \"bbox\": [282, 114, 325, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 114, 369, 124]}, {\"cell\": \"< 0.001\", \"bbox\": [382, 114, 411, 124]}, {\"cell\": \"< 0.001\", \"bbox\": [424, 114, 454, 124]}, {\"cell\": \"p-value\", \"bbox\": [22, 130, 51, 140]}, {\"cell\": \"0.067\", \"bbox\": [112, 130, 134, 140]}, {\"cell\": \"0.364\", \"bbox\": [169, 130, 191, 140]}, {\"cell\": \"0.140\", \"bbox\": [226, 130, 248, 140]}, {\"cell\": \"0.242\", \"bbox\": [282, 130, 305, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 130, 369, 140]}, {\"cell\": \"< 0.001\", \"bbox\": [382, 130, 411, 140]}, {\"cell\": \"< 0.001\", \"bbox\": [424, 130, 454, 140]}, {\"cell\": \"Drug use\", \"bbox\": [0, 145, 35, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 145, 369, 155]}, {\"cell\": \"< 0.001\", \"bbox\": [382, 145, 411, 155]}, {\"cell\": \"< 0.001\", \"bbox\": [424, 145, 454, 155]}, {\"cell\": \"With tenderness\", \"bbox\": [22, 161, 82, 171]}, {\"cell\": \"14.60 ± 1.34\", \"bbox\": [112, 161, 159, 171]}, {\"cell\": \"7.00 ± 1.22\", \"bbox\": [169, 161, 212, 171]}, {\"cell\": \"9.00 ± 1.22\", \"bbox\": [226, 161, 269, 171]}, {\"cell\": \"12.60 ± 1.34\", \"bbox\": [282, 161, 330, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 161, 369, 171]}, {\"cell\": \"< 0.001\", \"bbox\": [382, 161, 411, 171]}, {\"cell\": \"< 0.001\", \"bbox\": [424, 161, 454, 171]}, {\"cell\": \"Without tenderness\", \"bbox\": [22, 176, 93, 187]}, {\"cell\": \"12.21 ± 3.10\", \"bbox\": [112, 176, 159, 187]}, {\"cell\": \"6.05 ± 1.93\", \"bbox\": [169, 176, 212, 187]}, {\"cell\": \"7.47 ± 2.34\", \"bbox\": [226, 176, 269, 187]}, {\"cell\": \"10.21 ± 3.10\", \"bbox\": [282, 176, 330, 187]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 176, 369, 187]}, {\"cell\": \"< 0.001\", \"bbox\": [382, 176, 411, 187]}, {\"cell\": \"< 0.001\", \"bbox\": [424, 176, 454, 187]}, {\"cell\": \"p-value\", \"bbox\": [22, 192, 51, 202]}, {\"cell\": \"0.111\", \"bbox\": [112, 192, 133, 202]}, {\"cell\": \"0.208\", \"bbox\": [169, 192, 191, 202]}, {\"cell\": \"0.069\", \"bbox\": [226, 192, 248, 202]}, {\"cell\": \"0.111\", \"bbox\": [282, 192, 304, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 192, 369, 202]}, {\"cell\": \"< 0.001\", \"bbox\": [382, 192, 411, 202]}, {\"cell\": \"< 0.001\", \"bbox\": [424, 192, 454, 202]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4825493_002_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]No.No.No.
[EMPTY_CELL]OCTHistologyTotal
[EMPTY_CELL]303060
[EMPTY_CELL]000
[EMPTY_CELL]303060
[EMPTY_CELL]OCTHistologyTotal
[EMPTY_CELL]303060
[EMPTY_CELL]000
[EMPTY_CELL]303060
[EMPTY_CELL]OCTHistologyTotal
[EMPTY_CELL]121527
[EMPTY_CELL]181533
[EMPTY_CELL]303060
[EMPTY_CELL]OCTHistologyTotal
[EMPTY_CELL]101020
[EMPTY_CELL]202040
[EMPTY_CELL]303060
[EMPTY_CELL]OCTHistologyTotal
[EMPTY_CELL]303060
[EMPTY_CELL]000
[EMPTY_CELL]303060
[EMPTY_CELL]OCTHistologyTotal
[EMPTY_CELL]6713
[EMPTY_CELL]242347
[EMPTY_CELL]303060
[EMPTY_CELL]OCTHistologyTotal
[EMPTY_CELL]222547
[EMPTY_CELL]8513
[EMPTY_CELL]303060
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No.\", \"bbox\": [141, 4, 155, 12]}, {\"cell\": \"No.\", \"bbox\": [169, 4, 183, 12]}, {\"cell\": \"No.\", \"bbox\": [216, 4, 230, 12]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 63, 27]}, {\"cell\": \"OCT\", \"bbox\": [141, 17, 158, 27]}, {\"cell\": \"Histology\", \"bbox\": [169, 17, 205, 27]}, {\"cell\": \"Total\", \"bbox\": [216, 17, 236, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 30, 41, 40]}, {\"cell\": \"30\", \"bbox\": [141, 30, 151, 40]}, {\"cell\": \"30\", \"bbox\": [169, 30, 179, 40]}, {\"cell\": \"60\", \"bbox\": [216, 30, 226, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 43, 31, 53]}, {\"cell\": \"0\", \"bbox\": [141, 43, 147, 53]}, {\"cell\": \"0\", \"bbox\": [169, 43, 175, 53]}, {\"cell\": \"0\", \"bbox\": [216, 43, 222, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 56, 18, 66]}, {\"cell\": \"30\", \"bbox\": [141, 56, 151, 66]}, {\"cell\": \"30\", \"bbox\": [169, 56, 179, 66]}, {\"cell\": \"60\", \"bbox\": [216, 56, 226, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 70, 78, 79]}, {\"cell\": \"OCT\", \"bbox\": [141, 70, 158, 79]}, {\"cell\": \"Histology\", \"bbox\": [169, 70, 205, 79]}, {\"cell\": \"Total\", \"bbox\": [216, 70, 236, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 83, 56, 92]}, {\"cell\": \"30\", \"bbox\": [141, 83, 151, 92]}, {\"cell\": \"30\", \"bbox\": [169, 83, 179, 92]}, {\"cell\": \"60\", \"bbox\": [216, 83, 226, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 96, 47, 105]}, {\"cell\": \"0\", \"bbox\": [141, 96, 147, 105]}, {\"cell\": \"0\", \"bbox\": [169, 96, 175, 105]}, {\"cell\": \"0\", \"bbox\": [216, 96, 222, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 109, 18, 119]}, {\"cell\": \"30\", \"bbox\": [141, 109, 151, 119]}, {\"cell\": \"30\", \"bbox\": [169, 109, 179, 119]}, {\"cell\": \"60\", \"bbox\": [216, 109, 226, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 122, 130, 132]}, {\"cell\": \"OCT\", \"bbox\": [141, 122, 158, 132]}, {\"cell\": \"Histology\", \"bbox\": [169, 122, 205, 132]}, {\"cell\": \"Total\", \"bbox\": [216, 122, 236, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 135, 41, 145]}, {\"cell\": \"12\", \"bbox\": [141, 135, 151, 145]}, {\"cell\": \"15\", \"bbox\": [169, 135, 179, 145]}, {\"cell\": \"27\", \"bbox\": [216, 135, 226, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 149, 31, 158]}, {\"cell\": \"18\", \"bbox\": [141, 149, 151, 158]}, {\"cell\": \"15\", \"bbox\": [169, 149, 179, 158]}, {\"cell\": \"33\", \"bbox\": [216, 149, 226, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 162, 18, 171]}, {\"cell\": \"30\", \"bbox\": [141, 162, 151, 171]}, {\"cell\": \"30\", \"bbox\": [169, 162, 179, 171]}, {\"cell\": \"60\", \"bbox\": [216, 162, 226, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 175, 56, 184]}, {\"cell\": \"OCT\", \"bbox\": [141, 175, 158, 184]}, {\"cell\": \"Histology\", \"bbox\": [169, 175, 205, 184]}, {\"cell\": \"Total\", \"bbox\": [216, 175, 236, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 188, 41, 198]}, {\"cell\": \"10\", \"bbox\": [141, 188, 151, 198]}, {\"cell\": \"10\", \"bbox\": [169, 188, 179, 198]}, {\"cell\": \"20\", \"bbox\": [216, 188, 226, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 201, 31, 211]}, {\"cell\": \"20\", \"bbox\": [141, 201, 151, 211]}, {\"cell\": \"20\", \"bbox\": [169, 201, 179, 211]}, {\"cell\": \"40\", \"bbox\": [216, 201, 226, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 214, 18, 224]}, {\"cell\": \"30\", \"bbox\": [141, 214, 151, 224]}, {\"cell\": \"30\", \"bbox\": [169, 214, 179, 224]}, {\"cell\": \"60\", \"bbox\": [216, 214, 226, 224]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 228, 78, 237]}, {\"cell\": \"OCT\", \"bbox\": [141, 228, 158, 237]}, {\"cell\": \"Histology\", \"bbox\": [169, 228, 205, 237]}, {\"cell\": \"Total\", \"bbox\": [216, 228, 236, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 241, 41, 250]}, {\"cell\": \"30\", \"bbox\": [141, 241, 151, 250]}, {\"cell\": \"30\", \"bbox\": [169, 241, 179, 250]}, {\"cell\": \"60\", \"bbox\": [216, 241, 226, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 254, 31, 263]}, {\"cell\": \"0\", \"bbox\": [141, 254, 147, 263]}, {\"cell\": \"0\", \"bbox\": [169, 254, 175, 263]}, {\"cell\": \"0\", \"bbox\": [216, 254, 222, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 267, 18, 276]}, {\"cell\": \"30\", \"bbox\": [141, 267, 151, 276]}, {\"cell\": \"30\", \"bbox\": [169, 267, 179, 276]}, {\"cell\": \"60\", \"bbox\": [216, 267, 226, 276]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 280, 72, 290]}, {\"cell\": \"OCT\", \"bbox\": [141, 280, 158, 290]}, {\"cell\": \"Histology\", \"bbox\": [169, 280, 205, 290]}, {\"cell\": \"Total\", \"bbox\": [216, 280, 236, 290]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 293, 41, 303]}, {\"cell\": \"6\", \"bbox\": [141, 293, 147, 303]}, {\"cell\": \"7\", \"bbox\": [169, 293, 175, 303]}, {\"cell\": \"13\", \"bbox\": [216, 293, 226, 303]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 306, 31, 316]}, {\"cell\": \"24\", \"bbox\": [141, 306, 151, 316]}, {\"cell\": \"23\", \"bbox\": [169, 306, 179, 316]}, {\"cell\": \"47\", \"bbox\": [216, 306, 226, 316]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 319, 18, 329]}, {\"cell\": \"30\", \"bbox\": [141, 319, 151, 329]}, {\"cell\": \"30\", \"bbox\": [169, 319, 179, 329]}, {\"cell\": \"60\", \"bbox\": [216, 319, 226, 329]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 333, 43, 342]}, {\"cell\": \"OCT\", \"bbox\": [141, 333, 158, 342]}, {\"cell\": \"Histology\", \"bbox\": [169, 333, 205, 342]}, {\"cell\": \"Total\", \"bbox\": [216, 333, 236, 342]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 346, 41, 355]}, {\"cell\": \"22\", \"bbox\": [141, 346, 151, 355]}, {\"cell\": \"25\", \"bbox\": [169, 346, 179, 355]}, {\"cell\": \"47\", \"bbox\": [216, 346, 226, 355]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 359, 31, 368]}, {\"cell\": \"8\", \"bbox\": [141, 359, 147, 368]}, {\"cell\": \"5\", \"bbox\": [169, 359, 175, 368]}, {\"cell\": \"13\", \"bbox\": [216, 359, 226, 368]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 372, 18, 382]}, {\"cell\": \"30\", \"bbox\": [141, 372, 151, 382]}, {\"cell\": \"30\", \"bbox\": [169, 372, 179, 382]}, {\"cell\": \"60\", \"bbox\": [216, 372, 226, 382]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3414779_005_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
MalesLow (1st tertile)Medium (2nd tertile)High (3rd tertile)[EMPTY_CELL]
Traitmean ± SDmean ± SDmean ± SDP-value
[EMPTY_CELL]177.2 ± 6.2177.6 ± 6.4178.1 ± 6.30.557
[EMPTY_CELL]76.4 ± 11.375.7 ± 10.574.9 ± 8.80.507
[EMPTY_CELL]24.3 ± 3.324.0 ± 3.023.6 ± 2.20.151
[EMPTY_CELL]92.9 ± 3.492.8 ± 3.693.0 ± 3.60.872
[EMPTY_CELL]11.6 ± 5.710.9 ± 4.210.0 ± 4.70.054
[EMPTY_CELL]6.0 ± 3.1a5.5 ± 3.35.2 ± 3.20.043
[EMPTY_CELL]83.1 ± 7.9a81.8 ± 8.280.3 ± 5.50.009
[EMPTY_CELL]0.47 ± 0.05a0.46 ± 0.050.45 ± 0.030.002
[EMPTY_CELL]32.8 ± 3.132.3 ± 3.132.4 ± 3.20.483
[EMPTY_CELL]29.7 ± 2.929.4 ± 3.029.3 ± 3.00.515
[EMPTY_CELL]49.9 ± 7.649.9 ± 7.850.6 ± 8.50.691
[EMPTY_CELL]48.7 ± 7.848.1 ± 7.948.1 ± 8.60.805
[EMPTY_CELL]1.057 ± 0.012a1.059 ± 0.0101.061 ± 0.0110.009
[EMPTY_CELL]18.2 ± 5.4a17.5 ± 4.316.3 ± 4.80.009
[EMPTY_CELL]14.2 ± 5.9a13.4 ± 4.712.4 ± 4.50.022
[EMPTY_CELL]62.5 ± 8.062.0 ± 7.562.6 ± 6.80.835
\", \"cells\": [{\"cell\": \"Males\", \"bbox\": [1, 4, 22, 13]}, {\"cell\": \"Low (1st tertile)\", \"bbox\": [97, 4, 154, 13]}, {\"cell\": \"Medium (2nd tertile)\", \"bbox\": [210, 4, 284, 13]}, {\"cell\": \"High (3rd tertile)\", \"bbox\": [341, 4, 401, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Trait\", \"bbox\": [1, 17, 18, 26]}, {\"cell\": \"mean ± SD\", \"bbox\": [105, 17, 146, 26]}, {\"cell\": \"mean ± SD\", \"bbox\": [227, 17, 267, 26]}, {\"cell\": \"mean ± SD\", \"bbox\": [350, 17, 391, 26]}, {\"cell\": \"P-value\", \"bbox\": [457, 17, 484, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 30, 24, 40]}, {\"cell\": \"177.2 ± 6.2\", \"bbox\": [108, 30, 143, 40]}, {\"cell\": \"177.6 ± 6.4\", \"bbox\": [229, 30, 265, 40]}, {\"cell\": \"178.1 ± 6.3\", \"bbox\": [353, 30, 388, 40]}, {\"cell\": \"0.557\", \"bbox\": [461, 30, 480, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 44, 23, 54]}, {\"cell\": \"76.4 ± 11.3\", \"bbox\": [108, 44, 143, 54]}, {\"cell\": \"75.7 ± 10.5\", \"bbox\": [229, 44, 265, 54]}, {\"cell\": \"74.9 ± 8.8\", \"bbox\": [355, 44, 386, 54]}, {\"cell\": \"0.507\", \"bbox\": [461, 44, 480, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 57, 41, 68]}, {\"cell\": \"24.3 ± 3.3\", \"bbox\": [110, 58, 141, 68]}, {\"cell\": \"24.0 ± 3.0\", \"bbox\": [231, 58, 263, 68]}, {\"cell\": \"23.6 ± 2.2\", \"bbox\": [355, 58, 386, 68]}, {\"cell\": \"0.151\", \"bbox\": [461, 58, 480, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 72, 28, 82]}, {\"cell\": \"92.9 ± 3.4\", \"bbox\": [110, 72, 141, 82]}, {\"cell\": \"92.8 ± 3.6\", \"bbox\": [231, 72, 263, 82]}, {\"cell\": \"93.0 ± 3.6\", \"bbox\": [355, 72, 386, 82]}, {\"cell\": \"0.872\", \"bbox\": [461, 72, 480, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 86, 35, 96]}, {\"cell\": \"11.6 ± 5.7\", \"bbox\": [110, 86, 141, 96]}, {\"cell\": \"10.9 ± 4.2\", \"bbox\": [231, 86, 263, 96]}, {\"cell\": \"10.0 ± 4.7\", \"bbox\": [355, 86, 386, 96]}, {\"cell\": \"0.054\", \"bbox\": [461, 86, 480, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 100, 35, 110]}, {\"cell\": \"6.0 ± 3.1a\", \"bbox\": [110, 99, 141, 110]}, {\"cell\": \"5.5 ± 3.3\", \"bbox\": [233, 100, 261, 110]}, {\"cell\": \"5.2 ± 3.2\", \"bbox\": [357, 100, 384, 110]}, {\"cell\": \"0.043\", \"bbox\": [461, 100, 480, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 114, 30, 124]}, {\"cell\": \"83.1 ± 7.9a\", \"bbox\": [108, 113, 143, 124]}, {\"cell\": \"81.8 ± 8.2\", \"bbox\": [231, 114, 263, 124]}, {\"cell\": \"80.3 ± 5.5\", \"bbox\": [355, 114, 386, 124]}, {\"cell\": \"0.009\", \"bbox\": [461, 114, 480, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 128, 17, 138]}, {\"cell\": \"0.47 ± 0.05a\", \"bbox\": [106, 127, 145, 138]}, {\"cell\": \"0.46 ± 0.05\", \"bbox\": [229, 128, 265, 138]}, {\"cell\": \"0.45 ± 0.03\", \"bbox\": [353, 128, 388, 138]}, {\"cell\": \"0.002\", \"bbox\": [461, 128, 480, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 142, 33, 152]}, {\"cell\": \"32.8 ± 3.1\", \"bbox\": [110, 142, 141, 152]}, {\"cell\": \"32.3 ± 3.1\", \"bbox\": [231, 142, 263, 152]}, {\"cell\": \"32.4 ± 3.2\", \"bbox\": [355, 142, 386, 152]}, {\"cell\": \"0.483\", \"bbox\": [461, 142, 480, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 156, 33, 166]}, {\"cell\": \"29.7 ± 2.9\", \"bbox\": [110, 156, 141, 166]}, {\"cell\": \"29.4 ± 3.0\", \"bbox\": [231, 156, 263, 166]}, {\"cell\": \"29.3 ± 3.0\", \"bbox\": [355, 156, 386, 166]}, {\"cell\": \"0.515\", \"bbox\": [461, 156, 480, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 170, 31, 180]}, {\"cell\": \"49.9 ± 7.6\", \"bbox\": [110, 170, 141, 180]}, {\"cell\": \"49.9 ± 7.8\", \"bbox\": [231, 170, 263, 180]}, {\"cell\": \"50.6 ± 8.5\", \"bbox\": [355, 170, 386, 180]}, {\"cell\": \"0.691\", \"bbox\": [461, 170, 480, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 184, 30, 194]}, {\"cell\": \"48.7 ± 7.8\", \"bbox\": [110, 184, 141, 194]}, {\"cell\": \"48.1 ± 7.9\", \"bbox\": [231, 184, 263, 194]}, {\"cell\": \"48.1 ± 8.6\", \"bbox\": [355, 184, 386, 194]}, {\"cell\": \"0.805\", \"bbox\": [461, 184, 480, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 198, 32, 208]}, {\"cell\": \"1.057 ± 0.012a\", \"bbox\": [103, 197, 148, 208]}, {\"cell\": \"1.059 ± 0.010\", \"bbox\": [226, 198, 269, 208]}, {\"cell\": \"1.061 ± 0.011\", \"bbox\": [349, 198, 392, 208]}, {\"cell\": \"0.009\", \"bbox\": [461, 198, 480, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 212, 12, 222]}, {\"cell\": \"18.2 ± 5.4a\", \"bbox\": [108, 211, 143, 222]}, {\"cell\": \"17.5 ± 4.3\", \"bbox\": [231, 212, 263, 222]}, {\"cell\": \"16.3 ± 4.8\", \"bbox\": [355, 212, 386, 222]}, {\"cell\": \"0.009\", \"bbox\": [461, 212, 480, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 226, 27, 236]}, {\"cell\": \"14.2 ± 5.9a\", \"bbox\": [108, 225, 143, 236]}, {\"cell\": \"13.4 ± 4.7\", \"bbox\": [231, 226, 263, 236]}, {\"cell\": \"12.4 ± 4.5\", \"bbox\": [355, 226, 386, 236]}, {\"cell\": \"0.022\", \"bbox\": [461, 226, 480, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 240, 30, 250]}, {\"cell\": \"62.5 ± 8.0\", \"bbox\": [110, 240, 141, 250]}, {\"cell\": \"62.0 ± 7.5\", \"bbox\": [231, 240, 263, 250]}, {\"cell\": \"62.6 ± 6.8\", \"bbox\": [355, 240, 386, 250]}, {\"cell\": \"0.835\", \"bbox\": [461, 240, 480, 250]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4025557_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
modelblocksblocks, d = 0no multi-gene gainsno multi-gene lossesbirth-death
log likelihood−7.0311 × 103−7.0311×103−7.0379×103−7.0439×103[EMPTY_CELL]
a2.112.121.00-[EMPTY_CELL]
b6.04×10−76.18×10−72.89×10−7-[EMPTY_CELL]
b20.240.230.09-[EMPTY_CELL]
c7.00×10−69.29×10−8-1.93×10−4[EMPTY_CELL]
c20.300.31-0.02[EMPTY_CELL]
d6.79×10−8--1.51×10−4[EMPTY_CELL]
e0.400.400.280.14[EMPTY_CELL]
f2.51×10−31.21×10−43.53×10−51.39[EMPTY_CELL]
f23.57×10−43.49×10−43.021.84[EMPTY_CELL]
g0.860.841.061.00[EMPTY_CELL]
g20.030.071.08 × 10−42.25×10−3[EMPTY_CELL]
h1.251.251.050.76[EMPTY_CELL]
t10.330.330.571.57[EMPTY_CELL]
t20.520.520.691.11[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"model\", \"bbox\": [1, 5, 32, 16]}, {\"cell\": \"blocks\", \"bbox\": [96, 5, 129, 16]}, {\"cell\": \"blocks, d = 0\", \"bbox\": [168, 5, 231, 16]}, {\"cell\": \"no multi-gene gains\", \"bbox\": [254, 5, 321, 27]}, {\"cell\": \"no multi-gene losses\", \"bbox\": [341, 5, 408, 27]}, {\"cell\": \"birth-death\", \"bbox\": [430, 5, 485, 16]}, {\"cell\": \"log likelihood\", \"bbox\": [1, 33, 60, 44]}, {\"cell\": \"−7.0311 × 103\", \"bbox\": [82, 32, 143, 44]}, {\"cell\": \"−7.0311×103\", \"bbox\": [169, 32, 230, 44]}, {\"cell\": \"−7.0379×103\", \"bbox\": [257, 32, 318, 44]}, {\"cell\": \"−7.0439×103\", \"bbox\": [344, 32, 405, 44]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [427, 32, 488, 44]}, {\"cell\": \"a\", \"bbox\": [1, 44, 8, 55]}, {\"cell\": \"2.11\", \"bbox\": [102, 44, 123, 55]}, {\"cell\": \"2.12\", \"bbox\": [189, 44, 210, 55]}, {\"cell\": \"1.00\", \"bbox\": [277, 44, 298, 55]}, {\"cell\": \"-\", \"bbox\": [372, 44, 377, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 44, 460, 55]}, {\"cell\": \"b\", \"bbox\": [1, 55, 8, 66]}, {\"cell\": \"6.04×10−7\", \"bbox\": [88, 54, 137, 66]}, {\"cell\": \"6.18×10−7\", \"bbox\": [175, 54, 224, 66]}, {\"cell\": \"2.89×10−7\", \"bbox\": [263, 54, 312, 66]}, {\"cell\": \"-\", \"bbox\": [372, 55, 377, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 55, 460, 66]}, {\"cell\": \"b2\", \"bbox\": [1, 66, 12, 79]}, {\"cell\": \"0.24\", \"bbox\": [102, 66, 123, 77]}, {\"cell\": \"0.23\", \"bbox\": [189, 66, 210, 77]}, {\"cell\": \"0.09\", \"bbox\": [277, 66, 298, 77]}, {\"cell\": \"-\", \"bbox\": [372, 66, 377, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 66, 460, 77]}, {\"cell\": \"c\", \"bbox\": [1, 77, 8, 88]}, {\"cell\": \"7.00×10−6\", \"bbox\": [88, 76, 137, 88]}, {\"cell\": \"9.29×10−8\", \"bbox\": [175, 76, 224, 88]}, {\"cell\": \"-\", \"bbox\": [285, 77, 290, 88]}, {\"cell\": \"1.93×10−4\", \"bbox\": [350, 76, 399, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 77, 460, 88]}, {\"cell\": \"c2\", \"bbox\": [1, 88, 11, 101]}, {\"cell\": \"0.30\", \"bbox\": [102, 88, 123, 99]}, {\"cell\": \"0.31\", \"bbox\": [189, 88, 210, 99]}, {\"cell\": \"-\", \"bbox\": [285, 88, 290, 99]}, {\"cell\": \"0.02\", \"bbox\": [364, 88, 385, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 88, 460, 99]}, {\"cell\": \"d\", \"bbox\": [1, 99, 8, 110]}, {\"cell\": \"6.79×10−8\", \"bbox\": [88, 98, 137, 110]}, {\"cell\": \"-\", \"bbox\": [197, 99, 202, 110]}, {\"cell\": \"-\", \"bbox\": [285, 99, 290, 110]}, {\"cell\": \"1.51×10−4\", \"bbox\": [350, 98, 399, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 99, 460, 110]}, {\"cell\": \"e\", \"bbox\": [1, 110, 8, 121]}, {\"cell\": \"0.40\", \"bbox\": [102, 110, 123, 121]}, {\"cell\": \"0.40\", \"bbox\": [189, 110, 210, 121]}, {\"cell\": \"0.28\", \"bbox\": [277, 110, 298, 121]}, {\"cell\": \"0.14\", \"bbox\": [364, 110, 385, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [447, 110, 468, 121]}, {\"cell\": \"f\", \"bbox\": [1, 121, 5, 132]}, {\"cell\": \"2.51×10−3\", \"bbox\": [88, 120, 137, 132]}, {\"cell\": \"1.21×10−4\", \"bbox\": [175, 120, 224, 132]}, {\"cell\": \"3.53×10−5\", \"bbox\": [263, 120, 312, 132]}, {\"cell\": \"1.39\", \"bbox\": [364, 121, 385, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [447, 121, 468, 132]}, {\"cell\": \"f2\", \"bbox\": [1, 132, 9, 145]}, {\"cell\": \"3.57×10−4\", \"bbox\": [88, 131, 137, 143]}, {\"cell\": \"3.49×10−4\", \"bbox\": [175, 131, 224, 143]}, {\"cell\": \"3.02\", \"bbox\": [277, 132, 298, 143]}, {\"cell\": \"1.84\", \"bbox\": [364, 132, 385, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 132, 471, 143]}, {\"cell\": \"g\", \"bbox\": [1, 143, 8, 154]}, {\"cell\": \"0.86\", \"bbox\": [102, 143, 123, 154]}, {\"cell\": \"0.84\", \"bbox\": [189, 143, 210, 154]}, {\"cell\": \"1.06\", \"bbox\": [277, 143, 298, 154]}, {\"cell\": \"1.00\", \"bbox\": [364, 143, 385, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [447, 143, 468, 154]}, {\"cell\": \"g2\", \"bbox\": [1, 154, 12, 167]}, {\"cell\": \"0.03\", \"bbox\": [102, 154, 123, 165]}, {\"cell\": \"0.07\", \"bbox\": [189, 154, 210, 165]}, {\"cell\": \"1.08 × 10−4\", \"bbox\": [263, 153, 312, 165]}, {\"cell\": \"2.25×10−3\", \"bbox\": [350, 153, 399, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 154, 471, 165]}, {\"cell\": \"h\", \"bbox\": [1, 165, 8, 176]}, {\"cell\": \"1.25\", \"bbox\": [102, 165, 123, 176]}, {\"cell\": \"1.25\", \"bbox\": [189, 165, 210, 176]}, {\"cell\": \"1.05\", \"bbox\": [277, 165, 298, 176]}, {\"cell\": \"0.76\", \"bbox\": [364, 165, 385, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [446, 165, 469, 178]}, {\"cell\": \"t1\", \"bbox\": [1, 176, 9, 189]}, {\"cell\": \"0.33\", \"bbox\": [102, 176, 123, 187]}, {\"cell\": \"0.33\", \"bbox\": [189, 176, 210, 187]}, {\"cell\": \"0.57\", \"bbox\": [277, 176, 298, 187]}, {\"cell\": \"1.57\", \"bbox\": [364, 176, 385, 187]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [447, 176, 468, 187]}, {\"cell\": \"t2\", \"bbox\": [1, 187, 9, 200]}, {\"cell\": \"0.52\", \"bbox\": [102, 187, 123, 198]}, {\"cell\": \"0.52\", \"bbox\": [189, 187, 210, 198]}, {\"cell\": \"0.69\", \"bbox\": [277, 187, 298, 198]}, {\"cell\": \"1.11\", \"bbox\": [364, 187, 385, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [447, 187, 468, 198]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2674660_009_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Region-localityPhlebotominae sand flies[EMPTY_CELL]
Tree speciesC-SLC-CRC-AGA-RCNLutzomyia(%)NBrumptomyia(%)Total (%)
1. Pithecellobium dulce -FBX-[EMPTY_CELL]-2 (1.4)-2 (1.4)
2. Cordia dentata -BRX-[EMPTY_CELL]-2 (1.4)-2 (1.4)
3. Samanea saman -FBX-[EMPTY_CELL]-5 (3.5)-5 (3.5)
4. Anacardium excelsum - ANX-[EMPTY_CELL]-13 (9.1)-13 (9.1)
5. Mangifera indica - ACX-[EMPTY_CELL]-5 (3.5)-5 (3.5)
6. Platymiscium pinnatum - FBX-[EMPTY_CELL]-2 (1.4)-2 (1.4)
7. Pseudobombax septenatum - BBX-[EMPTY_CELL]-1 (0.7)-1 (0.7)
8. Crescentia cujete - BGX-[EMPTY_CELL]-4 (2.8)-4 (2.8)
9. Cordia bicolor - BRX-[EMPTY_CELL]-1 (0.7)-1 (0.7)
10. Pseudosamanea guachapele -FBX-[EMPTY_CELL]-10 (7.0)-10 (7.0)
11. Cedrela odorata -MLX-[EMPTY_CELL]-1 (0.7)-1 (0.7)
12. Nectandra membranaceae - LR-X[EMPTY_CELL]-2 (1.4)-2 (1.4)
13. Myroxylon balsamum -FB-X[EMPTY_CELL]-2 (1.4)-2 (1.4)
14. Trichilia acuminata -ML-X[EMPTY_CELL]-2 (1.4)-2 (1.4)
15. Aspidosperma megalocarpon - AP-X[EMPTY_CELL]-4 (2.8)-4 (2.8)
16. Brownea ariza - FB-X[EMPTY_CELL]-2 (1.4)-2 (1.4)
17. Soroceae sprucei -MR-X[EMPTY_CELL]-1 (0.7)-1 (0.7)
18. Ceiba pentandra -BB-X[EMPTY_CELL]X15 (10.5)31 (21.8)46 (32.3)
19. Basiloxylum excelsum -ST-X[EMPTY_CELL]-1 (0.7)-1 (0.7)
20. Dilodendron sp. -SP-X[EMPTY_CELL]-1 (0.7)-1 (0.7)
21. Heisteria acuminata - OL-X[EMPTY_CELL]-2 (1.4)-2 (1.4)
22. Albizia nipoides -MM-X[EMPTY_CELL]-1 (0.7)-1 (0.7)
23. Protium sp. - BS--[EMPTY_CELL]X2 (1.4)-2 (1.4)
24. Schizolobium parahyba - FB--[EMPTY_CELL]X2 (1.4)-2 (1.4)
25. Vochysia ferruginea -VC--[EMPTY_CELL]X5 (3.5)2 (1.4)7 (4.9)
26. Dialium guianense -FB--[EMPTY_CELL]X2 (1.4)-2 (1.4)
27. ND--[EMPTY_CELL]-19 (13.3)-19 (13.3)
Total (%)1111[EMPTY_CELL]5109 (76.7)33 (23.2)142 (100)
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Region-locality\", \"bbox\": [139, 4, 193, 13]}, {\"cell\": \"Phlebotominae sand flies\", \"bbox\": [287, 4, 377, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Tree species\", \"bbox\": [1, 17, 45, 27]}, {\"cell\": \"C-SL\", \"bbox\": [139, 17, 156, 27]}, {\"cell\": \"C-CR\", \"bbox\": [175, 17, 193, 27]}, {\"cell\": \"C-AG\", \"bbox\": [212, 17, 231, 27]}, {\"cell\": \"A-RC\", \"bbox\": [250, 17, 269, 27]}, {\"cell\": \"NLutzomyia(%)\", \"bbox\": [287, 17, 345, 27]}, {\"cell\": \"NBrumptomyia(%)\", \"bbox\": [364, 17, 433, 27]}, {\"cell\": \"Total (%)\", \"bbox\": [451, 17, 484, 27]}, {\"cell\": \"1. Pithecellobium dulce -FB\", \"bbox\": [1, 30, 89, 40]}, {\"cell\": \"X\", \"bbox\": [139, 30, 146, 40]}, {\"cell\": \"-\", \"bbox\": [175, 30, 179, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 30, 216, 40]}, {\"cell\": \"-\", \"bbox\": [250, 30, 254, 40]}, {\"cell\": \"2 (1.4)\", \"bbox\": [287, 30, 309, 40]}, {\"cell\": \"-\", \"bbox\": [364, 30, 368, 40]}, {\"cell\": \"2 (1.4)\", \"bbox\": [451, 30, 473, 40]}, {\"cell\": \"2. Cordia dentata -BR\", \"bbox\": [1, 44, 73, 54]}, {\"cell\": \"X\", \"bbox\": [139, 44, 146, 54]}, {\"cell\": \"-\", \"bbox\": [175, 44, 179, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 44, 216, 54]}, {\"cell\": \"-\", \"bbox\": [250, 44, 254, 54]}, {\"cell\": \"2 (1.4)\", \"bbox\": [287, 44, 309, 54]}, {\"cell\": \"-\", \"bbox\": [364, 44, 368, 54]}, {\"cell\": \"2 (1.4)\", \"bbox\": [451, 44, 473, 54]}, {\"cell\": \"3. Samanea saman -FB\", \"bbox\": [1, 58, 78, 68]}, {\"cell\": \"X\", \"bbox\": [139, 58, 146, 68]}, {\"cell\": \"-\", \"bbox\": [175, 58, 179, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 58, 216, 68]}, {\"cell\": \"-\", \"bbox\": [250, 58, 254, 68]}, {\"cell\": \"5 (3.5)\", \"bbox\": [287, 58, 309, 68]}, {\"cell\": \"-\", \"bbox\": [364, 58, 368, 68]}, {\"cell\": \"5 (3.5)\", \"bbox\": [451, 58, 473, 68]}, {\"cell\": \"4. Anacardium excelsum - AN\", \"bbox\": [1, 72, 95, 82]}, {\"cell\": \"X\", \"bbox\": [139, 72, 146, 82]}, {\"cell\": \"-\", \"bbox\": [175, 72, 179, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 72, 216, 82]}, {\"cell\": \"-\", \"bbox\": [250, 72, 254, 82]}, {\"cell\": \"13 (9.1)\", \"bbox\": [287, 72, 312, 82]}, {\"cell\": \"-\", \"bbox\": [364, 72, 368, 82]}, {\"cell\": \"13 (9.1)\", \"bbox\": [451, 72, 477, 82]}, {\"cell\": \"5. Mangifera indica - AC\", \"bbox\": [1, 86, 79, 96]}, {\"cell\": \"X\", \"bbox\": [139, 86, 146, 96]}, {\"cell\": \"-\", \"bbox\": [175, 86, 179, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 86, 216, 96]}, {\"cell\": \"-\", \"bbox\": [250, 86, 254, 96]}, {\"cell\": \"5 (3.5)\", \"bbox\": [287, 86, 309, 96]}, {\"cell\": \"-\", \"bbox\": [364, 86, 368, 96]}, {\"cell\": \"5 (3.5)\", \"bbox\": [451, 86, 473, 96]}, {\"cell\": \"6. Platymiscium pinnatum - FB\", \"bbox\": [1, 100, 99, 110]}, {\"cell\": \"X\", \"bbox\": [139, 100, 146, 110]}, {\"cell\": \"-\", \"bbox\": [175, 100, 179, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 100, 216, 110]}, {\"cell\": \"-\", \"bbox\": [250, 100, 254, 110]}, {\"cell\": \"2 (1.4)\", \"bbox\": [287, 100, 309, 110]}, {\"cell\": \"-\", \"bbox\": [364, 100, 368, 110]}, {\"cell\": \"2 (1.4)\", \"bbox\": [451, 100, 473, 110]}, {\"cell\": \"7. 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Cordia bicolor - BR\", \"bbox\": [1, 142, 69, 152]}, {\"cell\": \"X\", \"bbox\": [139, 142, 146, 152]}, {\"cell\": \"-\", \"bbox\": [175, 142, 179, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 142, 216, 152]}, {\"cell\": \"-\", \"bbox\": [250, 142, 254, 152]}, {\"cell\": \"1 (0.7)\", \"bbox\": [287, 142, 309, 152]}, {\"cell\": \"-\", \"bbox\": [364, 142, 368, 152]}, {\"cell\": \"1 (0.7)\", \"bbox\": [451, 142, 473, 152]}, {\"cell\": \"10. Pseudosamanea guachapele -FB\", \"bbox\": [1, 156, 118, 166]}, {\"cell\": \"X\", \"bbox\": [139, 156, 146, 166]}, {\"cell\": \"-\", \"bbox\": [175, 156, 179, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 156, 216, 166]}, {\"cell\": \"-\", \"bbox\": [250, 156, 254, 166]}, {\"cell\": \"10 (7.0)\", \"bbox\": [287, 156, 312, 166]}, {\"cell\": \"-\", \"bbox\": [364, 156, 368, 166]}, {\"cell\": \"10 (7.0)\", \"bbox\": [451, 156, 477, 166]}, {\"cell\": \"11. Cedrela odorata -ML\", \"bbox\": [1, 170, 81, 180]}, {\"cell\": \"X\", \"bbox\": [139, 170, 146, 179]}, {\"cell\": \"-\", \"bbox\": [175, 170, 179, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 170, 216, 179]}, {\"cell\": \"-\", \"bbox\": [250, 170, 254, 179]}, {\"cell\": \"1 (0.7)\", \"bbox\": [287, 170, 309, 179]}, {\"cell\": \"-\", \"bbox\": [364, 170, 368, 179]}, {\"cell\": \"1 (0.7)\", \"bbox\": [451, 170, 473, 179]}, {\"cell\": \"12. Nectandra membranaceae - LR\", \"bbox\": [1, 184, 112, 194]}, {\"cell\": \"-\", \"bbox\": [139, 184, 144, 193]}, {\"cell\": \"X\", \"bbox\": [175, 184, 181, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 184, 216, 193]}, {\"cell\": \"-\", \"bbox\": [250, 184, 254, 193]}, {\"cell\": \"2 (1.4)\", \"bbox\": [287, 184, 309, 193]}, {\"cell\": \"-\", \"bbox\": [364, 184, 368, 193]}, {\"cell\": \"2 (1.4)\", \"bbox\": [451, 184, 473, 193]}, {\"cell\": \"13. Myroxylon balsamum -FB\", \"bbox\": [1, 198, 96, 208]}, {\"cell\": \"-\", \"bbox\": [139, 198, 144, 207]}, {\"cell\": \"X\", \"bbox\": [175, 198, 181, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 198, 216, 207]}, {\"cell\": \"-\", \"bbox\": [250, 198, 254, 207]}, {\"cell\": \"2 (1.4)\", \"bbox\": [287, 198, 309, 207]}, {\"cell\": \"-\", \"bbox\": [364, 198, 368, 207]}, {\"cell\": \"2 (1.4)\", \"bbox\": [451, 198, 473, 207]}, {\"cell\": \"14. Trichilia acuminata -ML\", \"bbox\": [1, 212, 91, 222]}, {\"cell\": \"-\", \"bbox\": [139, 212, 144, 221]}, {\"cell\": \"X\", \"bbox\": [175, 212, 181, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 212, 216, 221]}, {\"cell\": \"-\", \"bbox\": [250, 212, 254, 221]}, {\"cell\": \"2 (1.4)\", \"bbox\": [287, 212, 309, 221]}, {\"cell\": \"-\", \"bbox\": [364, 212, 368, 221]}, {\"cell\": \"2 (1.4)\", \"bbox\": [451, 212, 473, 221]}, {\"cell\": \"15. Aspidosperma megalocarpon - AP\", \"bbox\": [1, 226, 121, 236]}, {\"cell\": \"-\", \"bbox\": [139, 226, 144, 236]}, {\"cell\": \"X\", \"bbox\": [175, 226, 181, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 226, 216, 236]}, {\"cell\": \"-\", \"bbox\": [250, 226, 254, 236]}, {\"cell\": \"4 (2.8)\", \"bbox\": [287, 226, 309, 236]}, {\"cell\": \"-\", \"bbox\": [364, 226, 368, 236]}, {\"cell\": \"4 (2.8)\", \"bbox\": [451, 226, 473, 236]}, {\"cell\": \"16. Brownea ariza - FB\", \"bbox\": [1, 240, 74, 250]}, {\"cell\": \"-\", \"bbox\": [139, 240, 144, 250]}, {\"cell\": \"X\", \"bbox\": [175, 240, 181, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 240, 216, 250]}, {\"cell\": \"-\", \"bbox\": [250, 240, 254, 250]}, {\"cell\": \"2 (1.4)\", \"bbox\": [287, 240, 309, 250]}, {\"cell\": \"-\", \"bbox\": [364, 240, 368, 250]}, {\"cell\": \"2 (1.4)\", \"bbox\": [451, 240, 473, 250]}, {\"cell\": \"17. Soroceae sprucei -MR\", \"bbox\": [1, 254, 83, 264]}, {\"cell\": \"-\", \"bbox\": [139, 254, 144, 264]}, {\"cell\": \"X\", \"bbox\": [175, 254, 181, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 254, 216, 264]}, {\"cell\": \"-\", \"bbox\": [250, 254, 254, 264]}, {\"cell\": \"1 (0.7)\", \"bbox\": [287, 254, 309, 264]}, {\"cell\": \"-\", \"bbox\": [364, 254, 368, 264]}, {\"cell\": \"1 (0.7)\", \"bbox\": [451, 254, 473, 264]}, {\"cell\": \"18. Ceiba pentandra -BB\", \"bbox\": [1, 268, 82, 278]}, {\"cell\": \"-\", \"bbox\": [139, 268, 144, 278]}, {\"cell\": \"X\", \"bbox\": [175, 268, 181, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 268, 218, 278]}, {\"cell\": \"X\", \"bbox\": [250, 268, 256, 278]}, {\"cell\": \"15 (10.5)\", \"bbox\": [287, 268, 316, 278]}, {\"cell\": \"31 (21.8)\", \"bbox\": [364, 268, 393, 278]}, {\"cell\": \"46 (32.3)\", \"bbox\": [451, 268, 480, 278]}, {\"cell\": \"19. Basiloxylum excelsum -ST\", \"bbox\": [1, 282, 95, 292]}, {\"cell\": \"-\", \"bbox\": [139, 282, 144, 292]}, {\"cell\": \"X\", \"bbox\": [175, 282, 181, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 282, 216, 292]}, {\"cell\": \"-\", \"bbox\": [250, 282, 254, 292]}, {\"cell\": \"1 (0.7)\", \"bbox\": [287, 282, 309, 292]}, {\"cell\": \"-\", \"bbox\": [364, 282, 368, 292]}, {\"cell\": \"1 (0.7)\", \"bbox\": [451, 282, 473, 292]}, {\"cell\": \"20. Dilodendron sp. -SP\", \"bbox\": [1, 296, 78, 306]}, {\"cell\": \"-\", \"bbox\": [139, 296, 144, 306]}, {\"cell\": \"X\", \"bbox\": [175, 296, 181, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 296, 216, 306]}, {\"cell\": \"-\", \"bbox\": [250, 296, 254, 306]}, {\"cell\": \"1 (0.7)\", \"bbox\": [287, 296, 309, 306]}, {\"cell\": \"-\", \"bbox\": [364, 296, 368, 306]}, {\"cell\": \"1 (0.7)\", \"bbox\": [451, 296, 473, 306]}, {\"cell\": \"21. Heisteria acuminata - OL\", \"bbox\": [1, 310, 92, 320]}, {\"cell\": \"-\", \"bbox\": [139, 310, 144, 320]}, {\"cell\": \"X\", \"bbox\": [175, 310, 181, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 310, 216, 320]}, {\"cell\": \"-\", \"bbox\": [250, 310, 254, 320]}, {\"cell\": \"2 (1.4)\", \"bbox\": [287, 310, 309, 320]}, {\"cell\": \"-\", \"bbox\": [364, 310, 368, 320]}, {\"cell\": \"2 (1.4)\", \"bbox\": [451, 310, 473, 320]}, {\"cell\": \"22. Albizia nipoides -MM\", \"bbox\": [1, 324, 82, 334]}, {\"cell\": \"-\", \"bbox\": [139, 324, 144, 334]}, {\"cell\": \"X\", \"bbox\": [175, 324, 181, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 324, 216, 334]}, {\"cell\": \"-\", \"bbox\": [250, 324, 254, 334]}, {\"cell\": \"1 (0.7)\", \"bbox\": [287, 324, 309, 334]}, {\"cell\": \"-\", \"bbox\": [364, 324, 368, 334]}, {\"cell\": \"1 (0.7)\", \"bbox\": [451, 324, 473, 334]}, {\"cell\": \"23. Protium sp. - BS\", \"bbox\": [1, 338, 65, 348]}, {\"cell\": \"-\", \"bbox\": [139, 338, 144, 348]}, {\"cell\": \"-\", \"bbox\": [175, 338, 179, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 338, 216, 348]}, {\"cell\": \"X\", \"bbox\": [250, 338, 256, 348]}, {\"cell\": \"2 (1.4)\", \"bbox\": [287, 338, 309, 348]}, {\"cell\": \"-\", \"bbox\": [364, 338, 368, 348]}, {\"cell\": \"2 (1.4)\", \"bbox\": [451, 338, 473, 348]}, {\"cell\": \"24. Schizolobium parahyba - FB\", \"bbox\": [1, 352, 102, 362]}, {\"cell\": \"-\", \"bbox\": [139, 352, 144, 362]}, {\"cell\": \"-\", \"bbox\": [175, 352, 179, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 352, 216, 362]}, {\"cell\": \"X\", \"bbox\": [250, 352, 256, 362]}, {\"cell\": \"2 (1.4)\", \"bbox\": [287, 352, 309, 362]}, {\"cell\": \"-\", \"bbox\": [364, 352, 368, 362]}, {\"cell\": \"2 (1.4)\", \"bbox\": [451, 352, 473, 362]}, {\"cell\": \"25. Vochysia ferruginea -VC\", \"bbox\": [1, 366, 90, 376]}, {\"cell\": \"-\", \"bbox\": [139, 366, 144, 376]}, {\"cell\": \"-\", \"bbox\": [175, 366, 179, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 366, 216, 376]}, {\"cell\": \"X\", \"bbox\": [250, 366, 256, 376]}, {\"cell\": \"5 (3.5)\", \"bbox\": [287, 366, 309, 376]}, {\"cell\": \"2 (1.4)\", \"bbox\": [364, 366, 385, 376]}, {\"cell\": \"7 (4.9)\", \"bbox\": [451, 366, 473, 376]}, {\"cell\": \"26. Dialium guianense -FB\", \"bbox\": [1, 380, 87, 390]}, {\"cell\": \"-\", \"bbox\": [139, 380, 144, 390]}, {\"cell\": \"-\", \"bbox\": [175, 380, 179, 390]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 380, 216, 390]}, {\"cell\": \"X\", \"bbox\": [250, 380, 256, 390]}, {\"cell\": \"2 (1.4)\", \"bbox\": [287, 380, 309, 390]}, {\"cell\": \"-\", \"bbox\": [364, 380, 368, 390]}, {\"cell\": \"2 (1.4)\", \"bbox\": [451, 380, 473, 390]}, {\"cell\": \"27. ND\", \"bbox\": [1, 394, 24, 404]}, {\"cell\": \"-\", \"bbox\": [139, 394, 144, 404]}, {\"cell\": \"-\", \"bbox\": [175, 394, 179, 404]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 394, 216, 404]}, {\"cell\": \"-\", \"bbox\": [250, 394, 254, 404]}, {\"cell\": \"19 (13.3)\", \"bbox\": [287, 394, 316, 404]}, {\"cell\": \"-\", \"bbox\": [364, 394, 368, 404]}, {\"cell\": \"19 (13.3)\", \"bbox\": [451, 394, 480, 404]}, {\"cell\": \"Total (%)\", \"bbox\": [1, 408, 34, 418]}, {\"cell\": \"11\", \"bbox\": [139, 408, 149, 418]}, {\"cell\": \"11\", \"bbox\": [175, 408, 185, 418]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 408, 218, 418]}, {\"cell\": \"5\", \"bbox\": [250, 408, 256, 418]}, {\"cell\": \"109 (76.7)\", \"bbox\": [287, 408, 320, 418]}, {\"cell\": \"33 (23.2)\", \"bbox\": [364, 408, 393, 418]}, {\"cell\": \"142 (100)\", \"bbox\": [451, 408, 483, 418]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4376095_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
CategoryGene numbersProtein
Chaperones[EMPTY_CELL]DnaK-like
[EMPTY_CELL][EMPTY_CELL]DnaJ-like
[EMPTY_CELL][EMPTY_CELL]GroES
[EMPTY_CELL][EMPTY_CELL]GroEL
[EMPTY_CELL][EMPTY_CELL]Peptidyl prolyl isomerases
[EMPTY_CELL][EMPTY_CELL](trigger factors)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]ClpB disaggregator
Stress proteins[EMPTY_CELL]Cold Shock
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]Heat shock
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]Universal stress proteins
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]Tellurite resistance
[EMPTY_CELL][EMPTY_CELL](anti_superoxide)
\", \"cells\": [{\"cell\": \"Category\", \"bbox\": [4, 4, 37, 14]}, {\"cell\": \"Gene numbers\", \"bbox\": [115, 4, 167, 14]}, {\"cell\": \"Protein\", \"bbox\": [322, 4, 349, 14]}, {\"cell\": \"Chaperones\", \"bbox\": [4, 27, 47, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [115, 27, 191, 36]}, {\"cell\": \"DnaK-like\", \"bbox\": [322, 27, 357, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [115, 37, 191, 47]}, {\"cell\": \"DnaJ-like\", \"bbox\": [322, 37, 354, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [115, 47, 150, 57]}, {\"cell\": \"GroES\", \"bbox\": [322, 47, 346, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [115, 57, 171, 67]}, {\"cell\": \"GroEL\", \"bbox\": [322, 57, 346, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [115, 68, 214, 77]}, {\"cell\": \"Peptidyl prolyl isomerases\", \"bbox\": [322, 68, 411, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [115, 78, 218, 88]}, {\"cell\": \"(trigger factors)\", \"bbox\": [322, 78, 377, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [115, 88, 154, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [115, 98, 154, 108]}, {\"cell\": \"ClpB disaggregator\", \"bbox\": [322, 98, 387, 108]}, {\"cell\": \"Stress proteins\", \"bbox\": [4, 119, 57, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [115, 119, 210, 129]}, {\"cell\": \"Cold Shock\", \"bbox\": [322, 119, 363, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [115, 129, 216, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [115, 139, 154, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [115, 150, 210, 159]}, {\"cell\": \"Heat shock\", \"bbox\": [322, 150, 362, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [115, 160, 218, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [115, 170, 134, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [115, 180, 218, 190]}, {\"cell\": \"Universal stress proteins\", \"bbox\": [322, 180, 407, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [115, 191, 134, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [115, 201, 214, 211]}, {\"cell\": \"Tellurite resistance\", \"bbox\": [322, 201, 388, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [115, 211, 175, 221]}, {\"cell\": \"(anti_superoxide)\", \"bbox\": [322, 211, 383, 221]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2405808_013_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Place of Sample CollectionSamples AnalyzedFB1FB2FB3Total Fumonisins
Positive Samples/Range (μg/kg)Positive Samples/Range (μg/kg)Positive Samples/Range (μg/kg)Range( μg/kg)
Asad Abad33/25–62[EMPTY_CELL]2/16–2457–114
Bisotun85/19–71[EMPTY_CELL]4/21–2854–124
Eilam22/22–155[EMPTY_CELL]nd78–155
Gilan Gharb99/28–85[EMPTY_CELL]7/25–6491–235
Gorveh64/85–113[EMPTY_CELL]2/13–26123–173
Hamadan85/19–41[EMPTY_CELL]2/18–2149–88
Kamyaran43/15–34[EMPTY_CELL]2/13–3253–102
Kermanshah64/85–123[EMPTY_CELL]1/18118–151
Kangavar32/65–142[EMPTY_CELL]nd65–142
Kurdistan74/15–34[EMPTY_CELL]3/14–2343–82
Qasr Shirn42/25–85[EMPTY_CELL]1/1656–85
Ravansar86/21–32[EMPTY_CELL]3/15–2250–83
Sarpol Zohab32/25–83[EMPTY_CELL]nd60–83
Sahneh64/23–36[EMPTY_CELL]2/15–2954–100
Sonqor52/18–23[EMPTY_CELL]nd30–69
Total8256/15–155[EMPTY_CELL]26/13–6430–235
\", \"cells\": [{\"cell\": \"Place of Sample Collection\", \"bbox\": [11, 17, 65, 63]}, {\"cell\": \"Samples Analyzed\", \"bbox\": [75, 25, 125, 55]}, {\"cell\": \"FB1\", \"bbox\": [158, 9, 181, 25]}, {\"cell\": \"FB2\", \"bbox\": [245, 9, 269, 25]}, {\"cell\": \"FB3\", \"bbox\": [333, 9, 357, 25]}, {\"cell\": \"Total Fumonisins\", \"bbox\": [402, 2, 463, 33]}, {\"cell\": \"Positive Samples/Range (μg/kg)\", \"bbox\": [129, 32, 210, 79]}, {\"cell\": \"Positive Samples/Range (μg/kg)\", \"bbox\": [217, 32, 297, 79]}, {\"cell\": \"Positive Samples/Range (μg/kg)\", \"bbox\": [305, 32, 385, 79]}, {\"cell\": \"Range( μg/kg)\", \"bbox\": [413, 40, 452, 72]}, {\"cell\": \"Asad Abad\", \"bbox\": [3, 78, 58, 94]}, {\"cell\": \"3\", \"bbox\": [96, 78, 104, 94]}, {\"cell\": \"3/25–62\", \"bbox\": [149, 77, 190, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 77, 278, 95]}, {\"cell\": \"2/16–24\", \"bbox\": [324, 77, 366, 95]}, {\"cell\": \"57–114\", \"bbox\": [414, 77, 452, 95]}, {\"cell\": \"Bisotun\", \"bbox\": [3, 93, 42, 109]}, {\"cell\": \"8\", \"bbox\": [96, 93, 104, 109]}, {\"cell\": \"5/19–71\", \"bbox\": [149, 92, 190, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 92, 278, 110]}, {\"cell\": \"4/21–28\", \"bbox\": [324, 92, 366, 110]}, {\"cell\": \"54–124\", \"bbox\": [414, 92, 452, 110]}, {\"cell\": \"Eilam\", \"bbox\": [3, 108, 33, 124]}, {\"cell\": \"2\", \"bbox\": [96, 108, 104, 124]}, {\"cell\": \"2/22–155\", \"bbox\": [146, 107, 193, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [245, 108, 269, 124]}, {\"cell\": \"nd\", \"bbox\": [338, 108, 352, 124]}, {\"cell\": \"78–155\", \"bbox\": [414, 107, 452, 125]}, {\"cell\": \"Gilan Gharb\", \"bbox\": [3, 123, 64, 139]}, {\"cell\": \"9\", \"bbox\": [96, 123, 104, 139]}, {\"cell\": \"9/28–85\", \"bbox\": [149, 122, 190, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 122, 278, 140]}, {\"cell\": \"7/25–64\", \"bbox\": [324, 122, 366, 140]}, {\"cell\": \"91–235\", \"bbox\": [414, 122, 452, 140]}, {\"cell\": \"Gorveh\", \"bbox\": [3, 138, 41, 154]}, {\"cell\": \"6\", \"bbox\": [96, 138, 104, 154]}, {\"cell\": \"4/85–113\", \"bbox\": [146, 137, 193, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 137, 278, 155]}, {\"cell\": \"2/13–26\", \"bbox\": [324, 137, 366, 155]}, {\"cell\": \"123–173\", \"bbox\": [411, 137, 455, 155]}, {\"cell\": \"Hamadan\", \"bbox\": [3, 153, 51, 169]}, {\"cell\": \"8\", \"bbox\": [96, 153, 104, 169]}, {\"cell\": \"5/19–41\", \"bbox\": [149, 152, 190, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 152, 278, 170]}, {\"cell\": \"2/18–21\", \"bbox\": [324, 152, 366, 170]}, {\"cell\": \"49–88\", \"bbox\": [417, 152, 449, 170]}, {\"cell\": \"Kamyaran\", \"bbox\": [3, 168, 55, 184]}, {\"cell\": \"4\", \"bbox\": [96, 168, 104, 184]}, {\"cell\": \"3/15–34\", \"bbox\": [149, 167, 190, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 167, 278, 185]}, {\"cell\": \"2/13–32\", \"bbox\": [324, 167, 366, 185]}, {\"cell\": \"53–102\", \"bbox\": [414, 167, 452, 185]}, {\"cell\": \"Kermanshah\", \"bbox\": [3, 183, 65, 199]}, {\"cell\": \"6\", \"bbox\": [96, 183, 104, 199]}, {\"cell\": \"4/85–123\", \"bbox\": [146, 182, 193, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 182, 278, 200]}, {\"cell\": \"1/18\", \"bbox\": [333, 183, 357, 199]}, {\"cell\": \"118–151\", \"bbox\": [411, 182, 455, 200]}, {\"cell\": \"Kangavar\", \"bbox\": [3, 198, 51, 214]}, {\"cell\": \"3\", \"bbox\": [96, 198, 104, 214]}, {\"cell\": \"2/65–142\", \"bbox\": [146, 197, 193, 215]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 198, 264, 214]}, {\"cell\": \"nd\", \"bbox\": [338, 198, 352, 214]}, {\"cell\": \"65–142\", \"bbox\": [414, 197, 452, 215]}, {\"cell\": \"Kurdistan\", \"bbox\": [3, 213, 52, 229]}, {\"cell\": \"7\", \"bbox\": [96, 213, 104, 229]}, {\"cell\": \"4/15–34\", \"bbox\": [149, 212, 190, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 212, 278, 230]}, {\"cell\": \"3/14–23\", \"bbox\": [324, 212, 366, 230]}, {\"cell\": \"43–82\", \"bbox\": [417, 212, 449, 230]}, {\"cell\": \"Qasr Shirn\", \"bbox\": [3, 228, 56, 244]}, {\"cell\": \"4\", \"bbox\": [96, 228, 104, 244]}, {\"cell\": \"2/25–85\", \"bbox\": [149, 227, 190, 245]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [245, 228, 269, 244]}, {\"cell\": \"1/16\", \"bbox\": [333, 228, 357, 244]}, {\"cell\": \"56–85\", \"bbox\": [417, 227, 449, 245]}, {\"cell\": \"Ravansar\", \"bbox\": [3, 243, 49, 259]}, {\"cell\": \"8\", \"bbox\": [96, 243, 104, 259]}, {\"cell\": \"6/21–32\", \"bbox\": [149, 242, 190, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 242, 278, 260]}, {\"cell\": \"3/15–22\", \"bbox\": [324, 242, 366, 260]}, {\"cell\": \"50–83\", \"bbox\": [417, 242, 449, 260]}, {\"cell\": \"Sarpol Zohab\", \"bbox\": [3, 258, 70, 274]}, {\"cell\": \"3\", \"bbox\": [96, 258, 104, 274]}, {\"cell\": \"2/25–83\", \"bbox\": [149, 257, 190, 275]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [245, 258, 269, 274]}, {\"cell\": \"nd\", \"bbox\": [338, 258, 352, 274]}, {\"cell\": \"60–83\", \"bbox\": [417, 257, 449, 275]}, {\"cell\": \"Sahneh\", \"bbox\": [3, 273, 40, 289]}, {\"cell\": \"6\", \"bbox\": [96, 273, 104, 289]}, {\"cell\": \"4/23–36\", \"bbox\": [149, 272, 190, 290]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 272, 278, 290]}, {\"cell\": \"2/15–29\", \"bbox\": [324, 272, 366, 290]}, {\"cell\": \"54–100\", \"bbox\": [414, 272, 452, 290]}, {\"cell\": \"Sonqor\", \"bbox\": [3, 288, 39, 304]}, {\"cell\": \"5\", \"bbox\": [96, 288, 104, 304]}, {\"cell\": \"2/18–23\", \"bbox\": [149, 287, 190, 305]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 287, 278, 305]}, {\"cell\": \"nd\", \"bbox\": [338, 288, 352, 304]}, {\"cell\": \"30–69\", \"bbox\": [417, 287, 449, 305]}, {\"cell\": \"Total\", \"bbox\": [3, 304, 30, 319]}, {\"cell\": \"82\", \"bbox\": [93, 304, 107, 319]}, {\"cell\": \"56/15–155\", \"bbox\": [143, 303, 196, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 303, 281, 320]}, {\"cell\": \"26/13–64\", \"bbox\": [321, 303, 369, 320]}, {\"cell\": \"30–235\", \"bbox\": [414, 303, 452, 320]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3153182_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]HBCx22 TamRHBCx-17
[EMPTY_CELL]Luminal BBasal-like
[EMPTY_CELL]c.6405_6409del5, p.Asn2135Lysfs*3 (NM_000059.3)c.6033_6034del, p.Ser2012GlnFs*5 (NM_000059.3)
[EMPTY_CELL]c.1704_1727del, p.Arg569_Thr576del (NM_181523.1)Wild-type
[EMPTY_CELL]Wild-typeWild-type
[EMPTY_CELL]c.314G>T, p.Cys105Phe (NM_000314.4)LOH and protein lossIntragenic deletionLOH and protein loss
[EMPTY_CELL]Cottu et al. (2014)De Plater et al. (2010)
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"HBCx22 TamR\", \"bbox\": [148, 6, 215, 16]}, {\"cell\": \"HBCx-17\", \"bbox\": [349, 6, 391, 16]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 23, 38, 34]}, {\"cell\": \"Luminal B\", \"bbox\": [148, 23, 193, 34]}, {\"cell\": \"Basal-like\", \"bbox\": [349, 23, 392, 34]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 46, 116, 57]}, {\"cell\": \"c.6405_6409del5, p.Asn2135Lysfs*3 (NM_000059.3)\", \"bbox\": [148, 40, 297, 63]}, {\"cell\": \"c.6033_6034del, p.Ser2012GlnFs*5 (NM_000059.3)\", \"bbox\": [349, 40, 493, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 75, 38, 84]}, {\"cell\": \"c.1704_1727del, p.Arg569_Thr576del (NM_181523.1)\", \"bbox\": [148, 69, 304, 92]}, {\"cell\": \"Wild-type\", \"bbox\": [349, 75, 391, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 98, 39, 107]}, {\"cell\": \"Wild-type\", \"bbox\": [148, 98, 190, 109]}, {\"cell\": \"Wild-type\", \"bbox\": [349, 98, 391, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 127, 30, 136]}, {\"cell\": \"c.314G>T, p.Cys105Phe (NM_000314.4)LOH and protein loss\", \"bbox\": [148, 115, 248, 150]}, {\"cell\": \"Intragenic deletionLOH and protein loss\", \"bbox\": [349, 121, 437, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 156, 46, 167]}, {\"cell\": \"Cottu et al. (2014)\", \"bbox\": [148, 156, 223, 167]}, {\"cell\": \"De Plater et al. (2010)\", \"bbox\": [349, 156, 440, 167]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC6049870_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
ReferencesAgeaSexViral infectionLocation of hemothoraxSource of hemorrhageHemostatic proceduresOutcomebCause of death
[EMPTY_CELL]71MaleNon BRightMediastinal (lymph node) metastasisNcDead (1 day)RF, HF
[EMPTY_CELL]71FemaleNon BRightThoracic vertebrae metastasisNcDead (within 1 day)Shock
[EMPTY_CELL]31MaleBLeftChest wall metastasisNcDead (2 months)Cancer death
[EMPTY_CELL]53MaleNdLeftRib metastasisTAEDead (3 months)Cancer death
[EMPTY_CELL]67MaleNon BRightPrimary HCC with direct invasioncNcDead (2 weeks)HF
[EMPTY_CELL]79MaleNon BRightRib metastasisNcDead (17 hours)Shock
[EMPTY_CELL]68 or 69MaleNon BLeftLung metastasisNcDead (36 hours)Shock
[EMPTY_CELL]65MaleCRightPrimary HCC with direct invasioncTAEDead (3 months)Rupture of EV
[EMPTY_CELL]55 or 56FemaleNon BLeftPleural metastasisNcDead (2 weeks)RF
[EMPTY_CELL]64MaleCRightPrimary HCC with direct invasioncTAEDead (3 months)Cancer death
[EMPTY_CELL]64MaleB & CRightRib metastasisNcDead (26 hours)RF, HF
[EMPTY_CELL]64FemaleCRightPleural metastasisNcDead (within 1 day)Shock
[EMPTY_CELL]59MaleCRightPrimary HCC with direct invasioncTAE & SurgeryDead (7 months)Cancer death
[EMPTY_CELL]68MaleBRightMediastinal lymph node metastasisTAEAlive (>12 months)[EMPTY_CELL]
[EMPTY_CELL]42MaleBLeftChest wall metastasisSurgeryDead (6 days)MOF
[EMPTY_CELL]62MaleNdRightRib metastasisNdDead (nd)Shock
[EMPTY_CELL]56FemaleBRightPrimary HCCTAEAlive (>2 years)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"References\", \"bbox\": [1, 4, 40, 13]}, {\"cell\": \"Agea\", \"bbox\": [56, 2, 74, 13]}, {\"cell\": \"Sex\", \"bbox\": [93, 4, 107, 13]}, {\"cell\": \"Viral infection\", \"bbox\": [126, 4, 159, 22]}, {\"cell\": \"Location of hemothorax\", \"bbox\": [167, 4, 211, 22]}, {\"cell\": \"Source of hemorrhage\", \"bbox\": [220, 4, 300, 13]}, {\"cell\": \"Hemostatic procedures\", \"bbox\": [309, 4, 350, 22]}, {\"cell\": \"Outcomeb\", \"bbox\": [365, 2, 402, 13]}, {\"cell\": \"Cause of death\", \"bbox\": [438, 4, 470, 22]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 26, 28, 36]}, {\"cell\": \"71\", \"bbox\": [56, 26, 65, 36]}, {\"cell\": \"Male\", \"bbox\": [93, 26, 110, 36]}, {\"cell\": \"Non B\", \"bbox\": [126, 26, 148, 36]}, {\"cell\": \"Right\", \"bbox\": [167, 26, 186, 36]}, {\"cell\": \"Mediastinal (lymph node) metastasis\", \"bbox\": [220, 26, 300, 45]}, {\"cell\": \"Nc\", \"bbox\": [309, 26, 319, 34]}, {\"cell\": \"Dead (1 day)\", \"bbox\": [365, 26, 408, 36]}, {\"cell\": \"RF, HF\", \"bbox\": [438, 26, 461, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 49, 27, 59]}, {\"cell\": \"71\", \"bbox\": [56, 49, 65, 59]}, {\"cell\": \"Female\", \"bbox\": [93, 49, 118, 59]}, {\"cell\": \"Non B\", \"bbox\": [126, 49, 148, 59]}, {\"cell\": \"Right\", \"bbox\": [167, 49, 186, 59]}, {\"cell\": \"Thoracic vertebrae metastasis\", \"bbox\": [220, 49, 281, 68]}, {\"cell\": \"Nc\", \"bbox\": [309, 49, 319, 57]}, {\"cell\": \"Dead (within 1 day)\", \"bbox\": [365, 49, 430, 59]}, {\"cell\": \"Shock\", \"bbox\": [438, 49, 459, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 72, 26, 82]}, {\"cell\": \"31\", \"bbox\": [56, 72, 65, 82]}, {\"cell\": \"Male\", \"bbox\": [93, 72, 110, 82]}, {\"cell\": \"B\", \"bbox\": [126, 72, 132, 82]}, {\"cell\": \"Left\", \"bbox\": [167, 72, 181, 82]}, {\"cell\": \"Chest wall metastasis\", \"bbox\": [220, 72, 290, 82]}, {\"cell\": \"Nc\", \"bbox\": [309, 72, 319, 80]}, {\"cell\": \"Dead (2 months)\", \"bbox\": [365, 72, 421, 82]}, {\"cell\": \"Cancer death\", \"bbox\": [438, 72, 483, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 86, 38, 96]}, {\"cell\": \"53\", \"bbox\": [56, 86, 65, 96]}, {\"cell\": \"Male\", \"bbox\": [93, 86, 110, 96]}, {\"cell\": \"Nd\", \"bbox\": [126, 86, 137, 94]}, {\"cell\": \"Left\", \"bbox\": [167, 86, 181, 96]}, {\"cell\": \"Rib metastasis\", \"bbox\": [220, 86, 267, 96]}, {\"cell\": \"TAE\", \"bbox\": [309, 86, 323, 96]}, {\"cell\": \"Dead (3 months)\", \"bbox\": [365, 86, 421, 96]}, {\"cell\": \"Cancer death\", \"bbox\": [438, 86, 483, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 100, 38, 110]}, {\"cell\": \"67\", \"bbox\": [56, 100, 65, 110]}, {\"cell\": \"Male\", \"bbox\": [93, 100, 110, 110]}, {\"cell\": \"Non B\", \"bbox\": [126, 100, 148, 110]}, {\"cell\": \"Right\", \"bbox\": [167, 100, 186, 110]}, {\"cell\": \"Primary HCC with direct invasionc\", \"bbox\": [220, 100, 279, 119]}, {\"cell\": \"Nc\", \"bbox\": [309, 100, 319, 108]}, {\"cell\": \"Dead (2 weeks)\", \"bbox\": [365, 100, 416, 110]}, {\"cell\": \"HF\", \"bbox\": [438, 100, 449, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 123, 36, 133]}, {\"cell\": \"79\", \"bbox\": [56, 123, 65, 133]}, {\"cell\": \"Male\", \"bbox\": [93, 123, 110, 133]}, {\"cell\": \"Non B\", \"bbox\": [126, 123, 148, 133]}, {\"cell\": \"Right\", \"bbox\": [167, 123, 186, 133]}, {\"cell\": \"Rib metastasis\", \"bbox\": [220, 123, 267, 133]}, {\"cell\": \"Nc\", \"bbox\": [309, 123, 319, 131]}, {\"cell\": \"Dead (17 hours)\", \"bbox\": [365, 123, 418, 133]}, {\"cell\": \"Shock\", \"bbox\": [438, 123, 459, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 137, 43, 147]}, {\"cell\": \"68 or 69\", \"bbox\": [56, 137, 84, 147]}, {\"cell\": \"Male\", \"bbox\": [93, 137, 110, 147]}, {\"cell\": \"Non B\", \"bbox\": [126, 137, 148, 147]}, {\"cell\": \"Left\", \"bbox\": [167, 137, 181, 147]}, {\"cell\": \"Lung metastasis\", \"bbox\": [220, 137, 273, 147]}, {\"cell\": \"Nc\", \"bbox\": [309, 137, 319, 145]}, {\"cell\": \"Dead (36 hours)\", \"bbox\": [365, 137, 418, 147]}, {\"cell\": \"Shock\", \"bbox\": [438, 137, 459, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 151, 33, 161]}, {\"cell\": \"65\", \"bbox\": [56, 151, 65, 161]}, {\"cell\": \"Male\", \"bbox\": [93, 151, 110, 161]}, {\"cell\": \"C\", \"bbox\": [126, 151, 133, 161]}, {\"cell\": \"Right\", \"bbox\": [167, 151, 186, 161]}, {\"cell\": \"Primary HCC with direct invasionc\", \"bbox\": [220, 151, 279, 170]}, {\"cell\": \"TAE\", \"bbox\": [309, 151, 323, 161]}, {\"cell\": \"Dead (3 months)\", \"bbox\": [365, 151, 421, 161]}, {\"cell\": \"Rupture of EV\", \"bbox\": [438, 151, 484, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 174, 37, 184]}, {\"cell\": \"55 or 56\", \"bbox\": [56, 174, 84, 184]}, {\"cell\": \"Female\", \"bbox\": [93, 174, 118, 184]}, {\"cell\": \"Non B\", \"bbox\": [126, 174, 148, 184]}, {\"cell\": \"Left\", \"bbox\": [167, 174, 181, 184]}, {\"cell\": \"Pleural metastasis\", \"bbox\": [220, 174, 278, 184]}, {\"cell\": \"Nc\", \"bbox\": [309, 174, 319, 182]}, {\"cell\": \"Dead (2 weeks)\", \"bbox\": [365, 174, 416, 184]}, {\"cell\": \"RF\", \"bbox\": [438, 174, 448, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 188, 47, 198]}, {\"cell\": \"64\", \"bbox\": [56, 188, 65, 198]}, {\"cell\": \"Male\", \"bbox\": [93, 188, 110, 198]}, {\"cell\": \"C\", \"bbox\": [126, 188, 133, 198]}, {\"cell\": \"Right\", \"bbox\": [167, 188, 186, 198]}, {\"cell\": \"Primary HCC with direct invasionc\", \"bbox\": [220, 188, 279, 207]}, {\"cell\": \"TAE\", \"bbox\": [309, 188, 323, 198]}, {\"cell\": \"Dead (3 months)\", \"bbox\": [365, 188, 421, 198]}, {\"cell\": \"Cancer death\", \"bbox\": [438, 188, 483, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 211, 36, 221]}, {\"cell\": \"64\", \"bbox\": [56, 211, 65, 221]}, {\"cell\": \"Male\", \"bbox\": [93, 211, 110, 221]}, {\"cell\": \"B & C\", \"bbox\": [126, 211, 146, 221]}, {\"cell\": \"Right\", \"bbox\": [167, 211, 186, 221]}, {\"cell\": \"Rib metastasis\", \"bbox\": [220, 211, 267, 221]}, {\"cell\": \"Nc\", \"bbox\": [309, 211, 319, 219]}, {\"cell\": \"Dead (26 hours)\", \"bbox\": [365, 211, 418, 221]}, {\"cell\": \"RF, HF\", \"bbox\": [438, 211, 461, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 225, 38, 235]}, {\"cell\": \"64\", \"bbox\": [56, 225, 65, 235]}, {\"cell\": \"Female\", \"bbox\": [93, 225, 118, 235]}, {\"cell\": \"C\", \"bbox\": [126, 225, 133, 235]}, {\"cell\": \"Right\", \"bbox\": [167, 225, 186, 235]}, {\"cell\": \"Pleural metastasis\", \"bbox\": [220, 225, 278, 235]}, {\"cell\": \"Nc\", \"bbox\": [309, 225, 319, 233]}, {\"cell\": \"Dead (within 1 day)\", \"bbox\": [365, 225, 430, 235]}, {\"cell\": \"Shock\", \"bbox\": [438, 225, 459, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 239, 40, 249]}, {\"cell\": \"59\", \"bbox\": [56, 239, 65, 249]}, {\"cell\": \"Male\", \"bbox\": [93, 239, 110, 249]}, {\"cell\": \"C\", \"bbox\": [126, 239, 133, 249]}, {\"cell\": \"Right\", \"bbox\": [167, 239, 186, 249]}, {\"cell\": \"Primary HCC with direct invasionc\", \"bbox\": [220, 239, 279, 258]}, {\"cell\": \"TAE & Surgery\", \"bbox\": [309, 239, 356, 249]}, {\"cell\": \"Dead (7 months)\", \"bbox\": [365, 239, 421, 249]}, {\"cell\": \"Cancer death\", \"bbox\": [438, 239, 483, 249]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 262, 47, 272]}, {\"cell\": \"68\", \"bbox\": [56, 262, 65, 272]}, {\"cell\": \"Male\", \"bbox\": [93, 262, 110, 272]}, {\"cell\": \"B\", \"bbox\": [126, 262, 132, 272]}, {\"cell\": \"Right\", \"bbox\": [167, 262, 186, 272]}, {\"cell\": \"Mediastinal lymph node metastasis\", \"bbox\": [220, 262, 280, 281]}, {\"cell\": \"TAE\", \"bbox\": [309, 262, 323, 272]}, {\"cell\": \"Alive (>12 months)\", \"bbox\": [365, 262, 428, 272]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 285, 29, 295]}, {\"cell\": \"42\", \"bbox\": [56, 285, 65, 295]}, {\"cell\": \"Male\", \"bbox\": [93, 285, 110, 295]}, {\"cell\": \"B\", \"bbox\": [126, 285, 132, 295]}, {\"cell\": \"Left\", \"bbox\": [167, 285, 181, 295]}, {\"cell\": \"Chest wall metastasis\", \"bbox\": [220, 285, 290, 295]}, {\"cell\": \"Surgery\", \"bbox\": [309, 285, 335, 295]}, {\"cell\": \"Dead (6 days)\", \"bbox\": [365, 285, 411, 295]}, {\"cell\": \"MOF\", \"bbox\": [438, 285, 456, 295]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 299, 28, 309]}, {\"cell\": \"62\", \"bbox\": [56, 299, 65, 309]}, {\"cell\": \"Male\", \"bbox\": [93, 299, 110, 309]}, {\"cell\": \"Nd\", \"bbox\": [126, 299, 137, 307]}, {\"cell\": \"Right\", \"bbox\": [167, 299, 186, 309]}, {\"cell\": \"Rib metastasis\", \"bbox\": [220, 299, 267, 309]}, {\"cell\": \"Nd\", \"bbox\": [309, 299, 320, 307]}, {\"cell\": \"Dead (nd)\", \"bbox\": [365, 299, 398, 309]}, {\"cell\": \"Shock\", \"bbox\": [438, 299, 459, 309]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 313, 30, 323]}, {\"cell\": \"56\", \"bbox\": [56, 313, 65, 323]}, {\"cell\": \"Female\", \"bbox\": [93, 313, 118, 323]}, {\"cell\": \"B\", \"bbox\": [126, 313, 132, 323]}, {\"cell\": \"Right\", \"bbox\": [167, 313, 186, 323]}, {\"cell\": \"Primary HCC\", \"bbox\": [220, 313, 262, 323]}, {\"cell\": \"TAE\", \"bbox\": [309, 313, 323, 323]}, {\"cell\": \"Alive (>2 years)\", \"bbox\": [365, 313, 416, 323]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3499276_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Year 1 CategoryYear 1 IE (n=1289)Year 1 FE (n=543)
Year 2 CategoryStayed as IE (n=1068)Change to FE (n=221)p-valueStayed as FE (n=333)Change to IE (n=210)p-value
Change in patient measures (year 1 assessment – baseline)
BMI (kg/m2)0.0 (1.4)0.0 (1.1)0.750-0.1 (1.4)[EMPTY_CELL]0.589
FEV1 (mL)14 (233)-46 (184)<0.001-32 (180)[EMPTY_CELL]0.543
FEV1 % predicted0.4 (7.7)-1.6 (6.9)<0.001-1.1 (6.4)[EMPTY_CELL]0.690
FEV1/FVC %-0.1 (5.8)-0.4 (5.2)0.534-0.3 (6.0)[EMPTY_CELL]0.250
*Changed smoking status6%9%0.0536%[EMPTY_CELL]0.153
*Re-Started smoking (%)5%9%0.0514%[EMPTY_CELL]0.726
*Stopped smoking (%)7%10%0.4489%[EMPTY_CELL]0.125
6-min walk distance (m)10 (90)-5 (85)0.036-6 (94)[EMPTY_CELL]0.568
Blood oxygen saturation (%)0.0 (2.9)-0.1 (3.0)0.478-0.3 (3.3)[EMPTY_CELL]0.713
mMRC Dyspnoea Score0.0 (0.9)0.0 (1.0)0.6820.1 (1.0)[EMPTY_CELL]0.691
SGRQ Total Score--2.0 (10.6)--1.9 (12.1)0.879-0.1 (9.9)[EMPTY_CELL]0.986
BODE Index0.0 (1.2)0.1 (1.3)0.1380.2 (1.5)[EMPTY_CELL]0.424
White blood cells (10^9/L)-0.3 (1.6)-0.2 (1.9)0.6060.0 (2.3)[EMPTY_CELL]0.289
Neutrophils (10^9/L)-0.2 (1.5)-0.2 (1.9)0.8940.2 (2.3)[EMPTY_CELL]0.232
Platelets (10^9/L)-7 (47)-11 (41)0.238-5 (51)[EMPTY_CELL]0.014
Fibrinogen (mg/dL)-6 [-51, 36]0 [-38, 41]0.1515 [-41,58][EMPTY_CELL]0.109
CRP (mg/dL)0.1 [-1.3, 1.5]0.0 [-1.8, 2.1]0.9990.3 [-1.4,3.0][EMPTY_CELL]0.083
SP-D (ng/mL)0 [-18, 20]0 [-23, 26]0.654-1 [-24, 24][EMPTY_CELL]0.806
PARC/CCL-18 (ng/mL)6 [-6, 21]6 [-9, 23]0.6289 [-6, 27][EMPTY_CELL]0.114
Change between the number of events in year 1 and in year 2
PPPY COPD Hosp. Year 20.070.57<0.0010.68[EMPTY_CELL]<0.001
PPPY OCS only exbs Y20.040.25<0.0010.37[EMPTY_CELL]<0.001
\", \"cells\": [{\"cell\": \"Year 1 Category\", \"bbox\": [1, 4, 58, 13]}, {\"cell\": \"Year 1 IE (n=1289)\", \"bbox\": [162, 4, 228, 13]}, {\"cell\": \"Year 1 FE (n=543)\", \"bbox\": [359, 4, 422, 13]}, {\"cell\": \"Year 2 Category\", \"bbox\": [1, 17, 58, 27]}, {\"cell\": \"Stayed as IE (n=1068)\", \"bbox\": [98, 17, 175, 27]}, {\"cell\": \"Change to FE (n=221)\", \"bbox\": [181, 17, 258, 27]}, {\"cell\": \"p-value\", \"bbox\": [263, 17, 291, 27]}, {\"cell\": \"Stayed as FE (n=333)\", \"bbox\": [296, 17, 371, 27]}, {\"cell\": \"Change to IE (n=210)\", \"bbox\": [376, 17, 452, 27]}, {\"cell\": \"p-value\", \"bbox\": [457, 17, 484, 27]}, {\"cell\": \"Change in patient measures (year 1 assessment – baseline)\", \"bbox\": [139, 30, 346, 40]}, {\"cell\": \"BMI (kg/m2)\", \"bbox\": [1, 43, 42, 53]}, {\"cell\": \"0.0 (1.4)\", \"bbox\": [124, 43, 150, 53]}, {\"cell\": \"0.0 (1.1)\", \"bbox\": [206, 43, 233, 53]}, {\"cell\": \"0.750\", \"bbox\": [268, 43, 286, 53]}, {\"cell\": \"-0.1 (1.4)\", \"bbox\": [318, 43, 349, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [398, 43, 429, 53]}, {\"cell\": \"0.589\", \"bbox\": [461, 43, 480, 53]}, {\"cell\": \"FEV1 (mL)\", \"bbox\": [1, 57, 34, 67]}, {\"cell\": \"14 (233)\", \"bbox\": [123, 57, 151, 67]}, {\"cell\": \"-46 (184)\", \"bbox\": [203, 57, 236, 67]}, {\"cell\": \"<0.001\", \"bbox\": [265, 57, 289, 67]}, {\"cell\": \"-32 (180)\", \"bbox\": [317, 57, 350, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [398, 57, 430, 67]}, {\"cell\": \"0.543\", \"bbox\": [461, 57, 480, 67]}, {\"cell\": \"FEV1 % predicted\", \"bbox\": [1, 71, 59, 81]}, {\"cell\": \"0.4 (7.7)\", \"bbox\": [124, 71, 150, 81]}, {\"cell\": \"-1.6 (6.9)\", \"bbox\": [204, 71, 235, 81]}, {\"cell\": \"<0.001\", \"bbox\": [265, 71, 289, 81]}, {\"cell\": \"-1.1 (6.4)\", \"bbox\": [318, 71, 349, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [398, 71, 429, 81]}, {\"cell\": \"0.690\", \"bbox\": [461, 71, 480, 81]}, {\"cell\": \"FEV1/FVC %\", \"bbox\": [1, 85, 41, 95]}, {\"cell\": \"-0.1 (5.8)\", \"bbox\": [121, 85, 153, 95]}, {\"cell\": \"-0.4 (5.2)\", \"bbox\": [204, 85, 235, 95]}, {\"cell\": \"0.534\", \"bbox\": [268, 85, 286, 95]}, {\"cell\": \"-0.3 (6.0)\", \"bbox\": [318, 85, 349, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [398, 85, 429, 95]}, {\"cell\": \"0.250\", \"bbox\": [461, 85, 480, 95]}, {\"cell\": \"*Changed smoking status\", \"bbox\": [1, 99, 85, 109]}, {\"cell\": \"6%\", \"bbox\": [131, 99, 143, 109]}, {\"cell\": \"9%\", \"bbox\": [214, 99, 225, 109]}, {\"cell\": \"0.053\", \"bbox\": [268, 99, 286, 109]}, {\"cell\": \"6%\", \"bbox\": [328, 99, 339, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [408, 99, 420, 109]}, {\"cell\": \"0.153\", \"bbox\": [461, 99, 480, 109]}, {\"cell\": \"*Re-Started smoking (%)\", \"bbox\": [1, 113, 80, 123]}, {\"cell\": \"5%\", \"bbox\": [131, 113, 143, 123]}, {\"cell\": \"9%\", \"bbox\": [214, 113, 225, 123]}, {\"cell\": \"0.051\", \"bbox\": [268, 113, 286, 123]}, {\"cell\": \"4%\", \"bbox\": [328, 113, 339, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [408, 113, 420, 123]}, {\"cell\": \"0.726\", \"bbox\": [461, 113, 480, 123]}, {\"cell\": \"*Stopped smoking (%)\", \"bbox\": [1, 127, 75, 137]}, {\"cell\": \"7%\", \"bbox\": [131, 127, 143, 137]}, {\"cell\": \"10%\", \"bbox\": [212, 127, 227, 137]}, {\"cell\": \"0.448\", \"bbox\": [268, 127, 286, 137]}, {\"cell\": \"9%\", \"bbox\": [328, 127, 339, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 127, 422, 137]}, {\"cell\": \"0.125\", \"bbox\": [461, 127, 480, 137]}, {\"cell\": \"6-min walk distance (m)\", \"bbox\": [1, 141, 80, 151]}, {\"cell\": \"10 (90)\", \"bbox\": [125, 141, 149, 151]}, {\"cell\": \"-5 (85)\", \"bbox\": [207, 141, 232, 151]}, {\"cell\": \"0.036\", \"bbox\": [268, 141, 286, 151]}, {\"cell\": \"-6 (94)\", \"bbox\": [321, 141, 346, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [401, 141, 426, 151]}, {\"cell\": \"0.568\", \"bbox\": [461, 141, 480, 151]}, {\"cell\": \"Blood oxygen saturation (%)\", \"bbox\": [1, 155, 93, 165]}, {\"cell\": \"0.0 (2.9)\", \"bbox\": [124, 155, 150, 165]}, {\"cell\": \"-0.1 (3.0)\", \"bbox\": [204, 155, 235, 165]}, {\"cell\": \"0.478\", \"bbox\": [268, 155, 286, 165]}, {\"cell\": \"-0.3 (3.3)\", \"bbox\": [318, 155, 349, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [398, 155, 429, 165]}, {\"cell\": \"0.713\", \"bbox\": [461, 155, 480, 165]}, {\"cell\": \"mMRC Dyspnoea Score\", \"bbox\": [1, 169, 78, 179]}, {\"cell\": \"0.0 (0.9)\", \"bbox\": [124, 169, 150, 179]}, {\"cell\": \"0.0 (1.0)\", \"bbox\": [206, 169, 233, 179]}, {\"cell\": \"0.682\", \"bbox\": [268, 169, 286, 179]}, {\"cell\": \"0.1 (1.0)\", \"bbox\": [320, 169, 347, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [401, 169, 427, 179]}, {\"cell\": \"0.691\", \"bbox\": [461, 169, 480, 179]}, {\"cell\": \"SGRQ Total Score\", \"bbox\": [1, 183, 58, 193]}, {\"cell\": \"--2.0 (10.6)\", \"bbox\": [120, 183, 154, 193]}, {\"cell\": \"--1.9 (12.1)\", \"bbox\": [202, 183, 237, 193]}, {\"cell\": \"0.879\", \"bbox\": [268, 183, 286, 193]}, {\"cell\": \"-0.1 (9.9)\", \"bbox\": [318, 183, 349, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [396, 183, 431, 193]}, {\"cell\": \"0.986\", \"bbox\": [461, 183, 480, 193]}, {\"cell\": \"BODE Index\", \"bbox\": [1, 197, 41, 207]}, {\"cell\": \"0.0 (1.2)\", \"bbox\": [124, 197, 150, 207]}, {\"cell\": \"0.1 (1.3)\", \"bbox\": [206, 197, 233, 207]}, {\"cell\": \"0.138\", \"bbox\": [268, 197, 286, 207]}, {\"cell\": \"0.2 (1.5)\", \"bbox\": [320, 197, 347, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [401, 197, 427, 207]}, {\"cell\": \"0.424\", \"bbox\": [461, 197, 480, 207]}, {\"cell\": \"White blood cells (10^9/L)\", \"bbox\": [1, 211, 87, 221]}, {\"cell\": \"-0.3 (1.6)\", \"bbox\": [121, 211, 153, 221]}, {\"cell\": \"-0.2 (1.9)\", \"bbox\": [204, 211, 235, 221]}, {\"cell\": \"0.606\", \"bbox\": [268, 211, 286, 221]}, {\"cell\": \"0.0 (2.3)\", \"bbox\": [320, 211, 347, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [398, 211, 429, 221]}, {\"cell\": \"0.289\", \"bbox\": [461, 211, 480, 221]}, {\"cell\": \"Neutrophils (10^9/L)\", \"bbox\": [1, 225, 68, 235]}, {\"cell\": \"-0.2 (1.5)\", \"bbox\": [121, 225, 153, 235]}, {\"cell\": \"-0.2 (1.9)\", \"bbox\": [204, 225, 235, 235]}, {\"cell\": \"0.894\", \"bbox\": [268, 225, 286, 235]}, {\"cell\": \"0.2 (2.3)\", \"bbox\": [320, 225, 347, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [398, 225, 429, 235]}, {\"cell\": \"0.232\", \"bbox\": [461, 225, 480, 235]}, {\"cell\": \"Platelets (10^9/L)\", \"bbox\": [1, 239, 58, 249]}, {\"cell\": \"-7 (47)\", \"bbox\": [125, 239, 149, 249]}, {\"cell\": \"-11 (41)\", \"bbox\": [205, 239, 234, 249]}, {\"cell\": \"0.238\", \"bbox\": [268, 239, 286, 249]}, {\"cell\": \"-5 (51)\", \"bbox\": [321, 239, 346, 249]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [400, 239, 428, 249]}, {\"cell\": \"0.014\", \"bbox\": [461, 239, 480, 249]}, {\"cell\": \"Fibrinogen (mg/dL)\", \"bbox\": [1, 253, 65, 263]}, {\"cell\": \"-6 [-51, 36]\", \"bbox\": [116, 253, 157, 263]}, {\"cell\": \"0 [-38, 41]\", \"bbox\": [201, 253, 237, 263]}, {\"cell\": \"0.151\", \"bbox\": [268, 253, 286, 263]}, {\"cell\": \"5 [-41,58]\", \"bbox\": [317, 253, 350, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [393, 253, 434, 263]}, {\"cell\": \"0.109\", \"bbox\": [461, 253, 480, 263]}, {\"cell\": \"CRP (mg/dL)\", \"bbox\": [1, 267, 43, 277]}, {\"cell\": \"0.1 [-1.3, 1.5]\", \"bbox\": [115, 267, 159, 277]}, {\"cell\": \"0.0 [-1.8, 2.1]\", \"bbox\": [197, 267, 241, 277]}, {\"cell\": \"0.999\", \"bbox\": [268, 267, 286, 277]}, {\"cell\": \"0.3 [-1.4,3.0]\", \"bbox\": [313, 267, 354, 277]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [390, 267, 438, 277]}, {\"cell\": \"0.083\", \"bbox\": [461, 267, 480, 277]}, {\"cell\": \"SP-D (ng/mL)\", \"bbox\": [0, 281, 46, 291]}, {\"cell\": \"0 [-18, 20]\", \"bbox\": [119, 281, 155, 291]}, {\"cell\": \"0 [-23, 26]\", \"bbox\": [201, 281, 237, 291]}, {\"cell\": \"0.654\", \"bbox\": [268, 281, 286, 291]}, {\"cell\": \"-1 [-24, 24]\", \"bbox\": [313, 281, 354, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [396, 281, 432, 291]}, {\"cell\": \"0.806\", \"bbox\": [461, 281, 480, 291]}, {\"cell\": \"PARC/CCL-18 (ng/mL)\", \"bbox\": [1, 295, 73, 305]}, {\"cell\": \"6 [-6, 21]\", \"bbox\": [121, 295, 153, 305]}, {\"cell\": \"6 [-9, 23]\", \"bbox\": [203, 295, 236, 305]}, {\"cell\": \"0.628\", \"bbox\": [268, 295, 286, 305]}, {\"cell\": \"9 [-6, 27]\", \"bbox\": [317, 295, 350, 305]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [398, 295, 430, 305]}, {\"cell\": \"0.114\", \"bbox\": [461, 295, 480, 305]}, {\"cell\": \"Change between the number of events in year 1 and in year 2\", \"bbox\": [140, 309, 345, 319]}, {\"cell\": \"PPPY COPD Hosp. Year 2\", \"bbox\": [0, 323, 82, 333]}, {\"cell\": \"0.07\", \"bbox\": [129, 323, 144, 333]}, {\"cell\": \"0.57\", \"bbox\": [212, 323, 227, 333]}, {\"cell\": \"<0.001\", \"bbox\": [265, 323, 289, 333]}, {\"cell\": \"0.68\", \"bbox\": [326, 323, 341, 333]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 323, 421, 333]}, {\"cell\": \"<0.001\", \"bbox\": [459, 323, 482, 333]}, {\"cell\": \"PPPY OCS only exbs Y2\", \"bbox\": [0, 337, 77, 347]}, {\"cell\": \"0.04\", \"bbox\": [129, 337, 144, 347]}, {\"cell\": \"0.25\", \"bbox\": [212, 337, 227, 347]}, {\"cell\": \"<0.001\", \"bbox\": [265, 337, 289, 347]}, {\"cell\": \"0.37\", \"bbox\": [326, 337, 341, 347]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 337, 421, 347]}, {\"cell\": \"<0.001\", \"bbox\": [459, 337, 482, 347]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3733814_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Gene namePrimers and probes
18S[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]
GAPDH[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]
COL1A1[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]
COL1A2[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]
CTGF[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]
IGF1[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]
IL6[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]
IL6R[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]
TGFb1[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]
TGFb2[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]
TGFb3[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Gene name\", \"bbox\": [1, 4, 21, 24]}, {\"cell\": \"Primers and probes\", \"bbox\": [34, 4, 103, 15]}, {\"cell\": \"18S\", \"bbox\": [1, 33, 16, 44]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 33, 206, 44]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 43, 227, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 52, 113, 63]}, {\"cell\": \"GAPDH\", \"bbox\": [1, 62, 27, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 62, 200, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 71, 214, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 81, 219, 100]}, {\"cell\": \"COL1A1\", \"bbox\": [0, 100, 30, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 100, 212, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 109, 190, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 119, 211, 129]}, {\"cell\": \"COL1A2\", \"bbox\": [1, 128, 30, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 128, 230, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 138, 200, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 147, 113, 157]}, {\"cell\": \"CTGF\", \"bbox\": [1, 157, 20, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 157, 227, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 166, 217, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 175, 113, 186]}, {\"cell\": \"IGF1\", \"bbox\": [1, 185, 18, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 185, 212, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 194, 211, 205]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 204, 113, 214]}, {\"cell\": \"IL6\", \"bbox\": [1, 213, 13, 224]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 213, 209, 224]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 223, 233, 233]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 232, 113, 243]}, {\"cell\": \"IL6R\", \"bbox\": [1, 242, 19, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 242, 194, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 251, 195, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 261, 228, 281]}, {\"cell\": \"TGFb1\", \"bbox\": [0, 280, 24, 290]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 280, 216, 290]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 289, 209, 300]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 299, 113, 309]}, {\"cell\": \"TGFb2\", \"bbox\": [0, 308, 24, 318]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 308, 207, 318]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 318, 226, 328]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 327, 113, 337]}, {\"cell\": \"TGFb3\", \"bbox\": [0, 337, 24, 347]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 337, 199, 347]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 346, 209, 356]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 356, 113, 366]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3558793_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Peptides/ProteinsResiduesCharge (+)PIStructuresGRAVYReferences
Hc-CATH301212.61α-helix [EMPTY_CELL][18]
Chrysophsin-1, 2, and 325, 25, 205, 5, 4NNα-helix[EMPTY_CELL][19]
Chrysophsin-1 variants255NNα-helix[EMPTY_CELL][20]
ALP1, ALP2176, 411.35, 9.3 aβ-sheet[EMPTY_CELL][33]
Arenicins-1, 2, and 3216, 6, 410.83, 10.85, 9.25 aβ-sheet, β-turn[EMPTY_CELL][26,35]
NZ170742149.37β-sheet[EMPTY_CELL][36]
N22149.38α-helix, β-sheet[EMPTY_CELL][36]
N621410.72α-helix, β-sheet[EMPTY_CELL][36]
CNC, N6NH232, 2112, 5NN, 11.64NN, β-sheet[EMPTY_CELL]No publication b
Ogipeptins A, B, C, and DNNNNNNCyclic peptides[EMPTY_CELL][38]
Pa43318.59α-helix [EMPTY_CELL][49]
LALF101910.09α-helix, β-sheet[EMPTY_CELL][40]
Piscidins-1, -2, and -3223.412.01 aRandom structure[EMPTY_CELL][50]
Hydrostatin-TL1 and -SN19NNNNα-helix[EMPTY_CELL][22,23,24]
\", \"cells\": [{\"cell\": \"Peptides/Proteins\", \"bbox\": [19, 4, 75, 12]}, {\"cell\": \"Residues\", \"bbox\": [96, 4, 126, 12]}, {\"cell\": \"Charge (+)\", \"bbox\": [133, 4, 167, 12]}, {\"cell\": \"PI\", \"bbox\": [198, 4, 207, 12]}, {\"cell\": \"Structures\", \"bbox\": [252, 4, 285, 12]}, {\"cell\": \"GRAVY\", \"bbox\": [330, 4, 356, 12]}, {\"cell\": \"References\", \"bbox\": [394, 4, 430, 12]}, {\"cell\": \"Hc-CATH\", \"bbox\": [31, 16, 63, 24]}, {\"cell\": \"30\", \"bbox\": [106, 16, 115, 24]}, {\"cell\": \"12\", \"bbox\": [145, 16, 154, 24]}, {\"cell\": \"12.61\", \"bbox\": [194, 16, 211, 24]}, {\"cell\": \"α-helix \", \"bbox\": [257, 16, 280, 24]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [332, 16, 354, 24]}, {\"cell\": \"[18]\", \"bbox\": [405, 16, 419, 24]}, {\"cell\": \"Chrysophsin-1, 2, and 3\", \"bbox\": [11, 24, 83, 33]}, {\"cell\": \"25, 25, 20\", \"bbox\": [96, 24, 125, 33]}, {\"cell\": \"5, 5, 4\", \"bbox\": [140, 24, 159, 33]}, {\"cell\": \"NN\", \"bbox\": [196, 24, 209, 33]}, {\"cell\": \"α-helix\", \"bbox\": [257, 24, 280, 33]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [336, 24, 350, 33]}, {\"cell\": \"[19] \", \"bbox\": [405, 24, 419, 33]}, {\"cell\": \"Chrysophsin-1 variants\", \"bbox\": [11, 32, 83, 41]}, {\"cell\": \"25\", \"bbox\": [106, 32, 115, 41]}, {\"cell\": \"5\", \"bbox\": [147, 32, 152, 41]}, {\"cell\": \"NN\", \"bbox\": [196, 32, 209, 41]}, {\"cell\": \"α-helix\", \"bbox\": [257, 32, 280, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [336, 32, 350, 41]}, {\"cell\": \"[20]\", \"bbox\": [405, 32, 419, 41]}, {\"cell\": \"ALP1, ALP2\", \"bbox\": [27, 40, 66, 49]}, {\"cell\": \"17\", \"bbox\": [106, 40, 115, 49]}, {\"cell\": \"6, 4\", \"bbox\": [144, 40, 156, 49]}, {\"cell\": \"11.35, 9.3 a\", \"bbox\": [186, 39, 219, 49]}, {\"cell\": \"β-sheet\", \"bbox\": [257, 40, 281, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [320, 39, 366, 49]}, {\"cell\": \"[33]\", \"bbox\": [405, 40, 419, 49]}, {\"cell\": \"Arenicins-1, 2, and 3\", \"bbox\": [15, 49, 78, 57]}, {\"cell\": \"21\", \"bbox\": [106, 49, 115, 57]}, {\"cell\": \"6, 6, 4\", \"bbox\": [140, 49, 159, 57]}, {\"cell\": \"10.83, 10.85, 9.25 a\", \"bbox\": [175, 47, 230, 57]}, {\"cell\": \"β-sheet, β-turn\", \"bbox\": [245, 49, 292, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [307, 47, 379, 57]}, {\"cell\": \"[26,35]\", \"bbox\": [401, 49, 423, 57]}, {\"cell\": \"NZ17074\", \"bbox\": [32, 57, 61, 66]}, {\"cell\": \"21\", \"bbox\": [106, 57, 115, 66]}, {\"cell\": \"4\", \"bbox\": [147, 57, 152, 66]}, {\"cell\": \"9.37\", \"bbox\": [196, 57, 209, 66]}, {\"cell\": \"β-sheet\", \"bbox\": [257, 57, 281, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [332, 57, 354, 66]}, {\"cell\": \"[36]\", \"bbox\": [405, 57, 419, 66]}, {\"cell\": \"N2\", \"bbox\": [41, 65, 52, 74]}, {\"cell\": \"21\", \"bbox\": [106, 65, 115, 74]}, {\"cell\": \"4\", \"bbox\": [147, 65, 152, 74]}, {\"cell\": \"9.38\", \"bbox\": [196, 65, 209, 74]}, {\"cell\": \"α-helix, β-sheet\", \"bbox\": [244, 65, 293, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [332, 65, 354, 74]}, {\"cell\": \"[36]\", \"bbox\": [405, 65, 419, 74]}, {\"cell\": \"N6\", \"bbox\": [41, 73, 52, 82]}, {\"cell\": \"21\", \"bbox\": [106, 73, 115, 82]}, {\"cell\": \"4\", \"bbox\": [147, 73, 152, 82]}, {\"cell\": \"10.72\", \"bbox\": [194, 73, 211, 82]}, {\"cell\": \"α-helix, β-sheet\", \"bbox\": [244, 73, 293, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [332, 73, 354, 82]}, {\"cell\": \"[36]\", \"bbox\": [405, 73, 419, 82]}, {\"cell\": \"CNC, N6NH2\", \"bbox\": [25, 82, 69, 91]}, {\"cell\": \"32, 21\", \"bbox\": [101, 82, 120, 91]}, {\"cell\": \"12, 5\", \"bbox\": [142, 82, 157, 91]}, {\"cell\": \"NN, 11.64\", \"bbox\": [187, 82, 218, 91]}, {\"cell\": \"NN, β-sheet\", \"bbox\": [249, 82, 288, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [336, 82, 350, 91]}, {\"cell\": \"No publication b\", \"bbox\": [386, 81, 437, 91]}, {\"cell\": \"Ogipeptins A, B, C, and D\", \"bbox\": [7, 90, 86, 99]}, {\"cell\": \"NN\", \"bbox\": [104, 90, 117, 99]}, {\"cell\": \"NN\", \"bbox\": [143, 90, 156, 99]}, {\"cell\": \"NN\", \"bbox\": [196, 90, 209, 99]}, {\"cell\": \"Cyclic peptides\", \"bbox\": [245, 90, 293, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [336, 90, 350, 99]}, {\"cell\": \"[38]\", \"bbox\": [405, 90, 419, 99]}, {\"cell\": \"Pa4\", \"bbox\": [40, 99, 53, 107]}, {\"cell\": \"33\", \"bbox\": [106, 99, 115, 107]}, {\"cell\": \"1\", \"bbox\": [147, 99, 152, 107]}, {\"cell\": \"8.59\", \"bbox\": [196, 99, 209, 107]}, {\"cell\": \"α-helix \", \"bbox\": [257, 99, 280, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 99, 352, 107]}, {\"cell\": \"[49]\", \"bbox\": [405, 99, 419, 107]}, {\"cell\": \"LALF\", \"bbox\": [37, 107, 56, 116]}, {\"cell\": \"101\", \"bbox\": [104, 107, 116, 116]}, {\"cell\": \"9\", \"bbox\": [147, 107, 152, 116]}, {\"cell\": \"10.09\", \"bbox\": [194, 107, 211, 116]}, {\"cell\": \"α-helix, β-sheet\", \"bbox\": [244, 107, 293, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [332, 107, 354, 116]}, {\"cell\": \"[40]\", \"bbox\": [405, 107, 419, 116]}, {\"cell\": \"Piscidins-1, -2, and -3\", \"bbox\": [14, 115, 79, 124]}, {\"cell\": \"22\", \"bbox\": [106, 115, 115, 124]}, {\"cell\": \"3.4\", \"bbox\": [144, 115, 155, 124]}, {\"cell\": \"12.01 a\", \"bbox\": [192, 114, 213, 124]}, {\"cell\": \"Random structure\", \"bbox\": [241, 115, 297, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [333, 115, 353, 124]}, {\"cell\": \"[50]\", \"bbox\": [405, 115, 419, 124]}, {\"cell\": \"Hydrostatin-TL1 and -SN1\", \"bbox\": [6, 123, 88, 132]}, {\"cell\": \"9\", \"bbox\": [108, 123, 113, 132]}, {\"cell\": \"NN\", \"bbox\": [143, 123, 156, 132]}, {\"cell\": \"NN\", \"bbox\": [196, 123, 209, 132]}, {\"cell\": \"α-helix\", \"bbox\": [257, 123, 280, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [336, 123, 350, 132]}, {\"cell\": \"[22,23,24]\", \"bbox\": [400, 123, 424, 132]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5852485_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Total sampleBoysGirls[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
VariableMSDMSDMSDt(df)pHedges' g
Age (years)10.92.4210.92.4010.91[EMPTY_CELL]-.23 (609).82-.02
SDQ1 - Conduct problems2.251.702.451.732.07[EMPTY_CELL]-2.85 (650).01-.22
SDQ - Peer problems1.911.741.971.831.88[EMPTY_CELL]-.61 (650).54-.05
SDQ - Prosocial7.991.707.521.788.38[EMPTY_CELL]6.50 (586.384).00.52
Social acceptance3.05.643.05.653.06[EMPTY_CELL].18 (650).84.02
Mean MVPA2 per day (min)35.8217.4342.2319.2230.28[EMPTY_CELL]-9.08 (509.604).00-.73
Mean CPM3 per day543.75168.07592.27173.22501.56[EMPTY_CELL]-7.06 (589.134).00-.56
Mean MVPA after school per day (min)10.136.6511.637.548.82[EMPTY_CELL]-5.32 (516.444).00-.43
Mean CPM after school per day663.33322.68700.40329.49630.98[EMPTY_CELL]-2.71 (633).01-.22
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Total sample\", \"bbox\": [152, 4, 198, 13]}, {\"cell\": \"Boys\", \"bbox\": [237, 4, 256, 13]}, {\"cell\": \"Girls\", \"bbox\": [309, 4, 326, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Variable\", \"bbox\": [54, 17, 84, 27]}, {\"cell\": \"M\", \"bbox\": [153, 17, 161, 27]}, {\"cell\": \"SD\", \"bbox\": [187, 17, 198, 27]}, {\"cell\": \"M\", \"bbox\": [224, 17, 233, 27]}, {\"cell\": \"SD\", \"bbox\": [259, 17, 270, 27]}, {\"cell\": \"M\", \"bbox\": [296, 17, 304, 27]}, {\"cell\": \"SD\", \"bbox\": [330, 17, 341, 27]}, {\"cell\": \"t(df)\", \"bbox\": [375, 17, 392, 27]}, {\"cell\": \"p\", \"bbox\": [423, 17, 429, 27]}, {\"cell\": \"Hedges' g\", \"bbox\": [445, 17, 480, 27]}, {\"cell\": \"Age (years)\", \"bbox\": [50, 30, 88, 40]}, {\"cell\": \"10.92\", \"bbox\": [148, 30, 166, 40]}, {\"cell\": \".42\", \"bbox\": [187, 30, 198, 40]}, {\"cell\": \"10.92\", \"bbox\": [219, 30, 238, 40]}, {\"cell\": \".40\", \"bbox\": [259, 30, 270, 40]}, {\"cell\": \"10.91\", \"bbox\": [291, 30, 309, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [330, 30, 341, 40]}, {\"cell\": \"-.23 (609)\", \"bbox\": [368, 30, 399, 40]}, {\"cell\": \".82\", \"bbox\": [420, 30, 431, 40]}, {\"cell\": \"-.02\", \"bbox\": [456, 30, 469, 40]}, {\"cell\": \"SDQ1 - Conduct problems\", \"bbox\": [26, 41, 112, 52]}, {\"cell\": \"2.25\", \"bbox\": [150, 42, 165, 52]}, {\"cell\": \"1.70\", \"bbox\": [185, 42, 200, 52]}, {\"cell\": \"2.45\", \"bbox\": [221, 42, 236, 52]}, {\"cell\": \"1.73\", \"bbox\": [257, 42, 272, 52]}, {\"cell\": \"2.07\", \"bbox\": [292, 42, 307, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [328, 42, 343, 52]}, {\"cell\": \"-2.85 (650)\", \"bbox\": [366, 42, 401, 52]}, {\"cell\": \".01\", \"bbox\": [420, 42, 431, 52]}, {\"cell\": \"-.22\", \"bbox\": [456, 42, 469, 52]}, {\"cell\": \"SDQ - Peer problems\", \"bbox\": [34, 54, 104, 64]}, {\"cell\": \"1.91\", \"bbox\": [150, 54, 165, 64]}, {\"cell\": \"1.74\", \"bbox\": [185, 54, 200, 64]}, {\"cell\": \"1.97\", \"bbox\": [221, 54, 236, 64]}, {\"cell\": \"1.83\", \"bbox\": [257, 54, 272, 64]}, {\"cell\": \"1.88\", \"bbox\": [292, 54, 307, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [328, 54, 343, 64]}, {\"cell\": \"-.61 (650)\", \"bbox\": [368, 54, 399, 64]}, {\"cell\": \".54\", \"bbox\": [420, 54, 431, 64]}, {\"cell\": \"-.05\", \"bbox\": [456, 54, 469, 64]}, {\"cell\": \"SDQ - Prosocial\", \"bbox\": [43, 66, 95, 76]}, {\"cell\": \"7.99\", \"bbox\": [150, 66, 165, 76]}, {\"cell\": \"1.70\", \"bbox\": [185, 66, 200, 76]}, {\"cell\": \"7.52\", \"bbox\": [221, 66, 236, 76]}, {\"cell\": \"1.78\", \"bbox\": [257, 66, 272, 76]}, {\"cell\": \"8.38\", \"bbox\": [292, 66, 307, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [328, 66, 343, 76]}, {\"cell\": \"6.50 (586.384)\", \"bbox\": [361, 65, 406, 76]}, {\"cell\": \".00\", \"bbox\": [420, 66, 431, 76]}, {\"cell\": \".52\", \"bbox\": [457, 66, 468, 76]}, {\"cell\": \"Social acceptance\", \"bbox\": [39, 78, 98, 88]}, {\"cell\": \"3.05\", \"bbox\": [150, 78, 165, 88]}, {\"cell\": \".64\", \"bbox\": [187, 78, 198, 88]}, {\"cell\": \"3.05\", \"bbox\": [221, 78, 236, 88]}, {\"cell\": \".65\", \"bbox\": [259, 78, 270, 88]}, {\"cell\": \"3.06\", \"bbox\": [292, 78, 307, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [330, 78, 341, 88]}, {\"cell\": \".18 (650)\", \"bbox\": [369, 78, 398, 88]}, {\"cell\": \".84\", \"bbox\": [420, 78, 431, 88]}, {\"cell\": \".02\", \"bbox\": [457, 78, 468, 88]}, {\"cell\": \"Mean MVPA2 per day (min)\", \"bbox\": [24, 89, 114, 100]}, {\"cell\": \"35.82\", \"bbox\": [148, 90, 166, 100]}, {\"cell\": \"17.43\", \"bbox\": [183, 90, 202, 100]}, {\"cell\": \"42.23\", \"bbox\": [219, 90, 238, 100]}, {\"cell\": \"19.22\", \"bbox\": [255, 90, 273, 100]}, {\"cell\": \"30.28\", \"bbox\": [291, 90, 309, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [326, 90, 345, 100]}, {\"cell\": \"-9.08 (509.604)\", \"bbox\": [360, 89, 407, 100]}, {\"cell\": \".00\", \"bbox\": [420, 90, 431, 100]}, {\"cell\": \"-.73\", \"bbox\": [456, 90, 469, 100]}, {\"cell\": \"Mean CPM3 per day\", \"bbox\": [35, 100, 102, 112]}, {\"cell\": \"543.75\", \"bbox\": [146, 102, 168, 112]}, {\"cell\": \"168.07\", \"bbox\": [182, 102, 204, 112]}, {\"cell\": \"592.27\", \"bbox\": [217, 102, 240, 112]}, {\"cell\": \"173.22\", \"bbox\": [253, 102, 275, 112]}, {\"cell\": \"501.56\", \"bbox\": [289, 102, 311, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [324, 102, 347, 112]}, {\"cell\": \"-7.06 (589.134)\", \"bbox\": [360, 100, 407, 112]}, {\"cell\": \".00\", \"bbox\": [420, 102, 431, 112]}, {\"cell\": \"-.56\", \"bbox\": [456, 102, 469, 112]}, {\"cell\": \"Mean MVPA after school per day (min)\", \"bbox\": [5, 114, 133, 124]}, {\"cell\": \"10.13\", \"bbox\": [148, 114, 166, 124]}, {\"cell\": \"6.65\", \"bbox\": [185, 114, 200, 124]}, {\"cell\": \"11.63\", \"bbox\": [219, 114, 238, 124]}, {\"cell\": \"7.54\", \"bbox\": [257, 114, 272, 124]}, {\"cell\": \"8.82\", \"bbox\": [292, 114, 307, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [328, 114, 343, 124]}, {\"cell\": \"-5.32 (516.444)\", \"bbox\": [360, 112, 407, 124]}, {\"cell\": \".00\", \"bbox\": [420, 114, 431, 124]}, {\"cell\": \"-.43\", \"bbox\": [456, 114, 469, 124]}, {\"cell\": \"Mean CPM after school per day\", \"bbox\": [17, 126, 121, 136]}, {\"cell\": \"663.33\", \"bbox\": [146, 126, 168, 136]}, {\"cell\": \"322.68\", \"bbox\": [182, 126, 204, 136]}, {\"cell\": \"700.40\", \"bbox\": [217, 126, 240, 136]}, {\"cell\": \"329.49\", \"bbox\": [253, 126, 275, 136]}, {\"cell\": \"630.98\", \"bbox\": [289, 126, 311, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [324, 126, 347, 136]}, {\"cell\": \"-2.71 (633)\", \"bbox\": [366, 126, 401, 136]}, {\"cell\": \".01\", \"bbox\": [420, 126, 431, 136]}, {\"cell\": \"-.22\", \"bbox\": [456, 126, 469, 136]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3195695_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
GeneForwardReverse
[EMPTY_CELL]GATGCCCCCATGTTTGTGATGGTCATGAGCCCTTCCACAAT
[EMPTY_CELL]GCGGAAGAAAACGGCTCAATCCCGTGGTGGACATAGCA
[EMPTY_CELL]GTCCCAGCGTCGTGATTAGCTCATGACATCTCGAGCAAGTCTTT
[EMPTY_CELL]ACCGAGACCAACCGAGTCATCTCGGATCCCAAAAGAAGCTT
[EMPTY_CELL]GTCTGTGCGCCGAAGTCAAGCCCGGAAGAAGACCATTC
[EMPTY_CELL]CAGCGGCCTCAACAATGTCTATTCGGATTTCAGGCTCAAGGT
[EMPTY_CELL]GCCTCTCTAGGACTGACGCAAATGGTGACTGTGGCGAGTTACA
[EMPTY_CELL]GATGGACTCCAGCCCTTCAGTGGAGAGGGTGAGGCTCTGT
[EMPTY_CELL]GGTGGACGACCCGATGAGTGCGATCTGCAGGTCCAAGAT
[EMPTY_CELL]GAAATCCTGCAGCGTGTCATAGAAAGCTCCTCTTGTCCTTGGAGAT
[EMPTY_CELL]TCCCCTTGTCGTCATGGTTACTTGAATTTGATCCCAGAGAAAGC
[EMPTY_CELL]ATGCCCAGCATACACTCTCTTGTATAAATACCAGAGAAGCACCGTGAA
[EMPTY_CELL]CCTTTGCCCCAGATGCCTATGGGATCAACCGGTGACATAATG
[EMPTY_CELL]AGAAGCCCAACAAGTGCATGTTGGTCGCTGGAGTTGCTGAAG
[EMPTY_CELL]TGCACCTCTTCCATCTTCTCATTTTCCCGTTCTTGTGCATATTCAT
[EMPTY_CELL]AAGAAGGGTACATTGAGCGGAAAAGGAGCTCACATTGTCAATAGGATT
[EMPTY_CELL]ACCAAGGTCCAGGCTCGAAGCATCTTGTCGTACCATCTCCTTT
[EMPTY_CELL]AAGAGTGACATGAGTGCCATTGTCGAAGCCCTCCACGTGTGTGTA
[EMPTY_CELL]AAGCTGTGGTTCACCCGATTCGGGCAAAGACATCTGGTAGACAGT
[EMPTY_CELL]GTGGTGTTGATTGACGATGATGTAGACCCCCATTGAGAAACTCCAT
[EMPTY_CELL]AGGAGCCAAGAGTTAAAGAAATCTAAAATTTCCCATAGGATAGATGTGCCTAA
[EMPTY_CELL]CAATGCCCAATGCCATCTGACTTCACCTCCTTCACTGGGTATC
[EMPTY_CELL]CCATGTCTCTATTGTACGCGAGAAAAGATGCCCCTGGAGAATGTG
[EMPTY_CELL]AAACGTGCCCACTATCGACATCGGACGACGAAGGCTAGATC
[EMPTY_CELL]TTAGCATCTTCCTCAGCCTCCTTGAGCATTTTTATCCCCAATCAGAA
[EMPTY_CELL]AGCTGAGACCTGGAGAATTTGTAGTTTAGCGTCTGTCTGAATGTAGTCCAT
[EMPTY_CELL]GCTGCAATCACGGAGTTTGTTGTCTTCTCCGGGCTTTCTACAC
\", \"cells\": [{\"cell\": \"Gene\", \"bbox\": [41, 4, 61, 12]}, {\"cell\": \"Forward\", \"bbox\": [188, 4, 218, 12]}, {\"cell\": \"Reverse\", \"bbox\": [380, 4, 409, 12]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [36, 17, 67, 26]}, {\"cell\": \"GATGCCCCCATGTTTGTGAT\", \"bbox\": [159, 17, 247, 26]}, {\"cell\": \"GGTCATGAGCCCTTCCACAAT\", \"bbox\": [347, 17, 441, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [38, 29, 65, 38]}, {\"cell\": \"GCGGAAGAAAACGGCTCAA\", \"bbox\": [158, 29, 248, 38]}, {\"cell\": \"TCCCGTGGTGGACATAGCA\", \"bbox\": [351, 29, 438, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [39, 41, 64, 50]}, {\"cell\": \"GTCCCAGCGTCGTGATTAGC\", \"bbox\": [158, 41, 248, 50]}, {\"cell\": \"TCATGACATCTCGAGCAAGTCTTT\", \"bbox\": [342, 41, 447, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [40, 53, 62, 62]}, {\"cell\": \"ACCGAGACCAACCGAGTCAT\", \"bbox\": [157, 53, 249, 62]}, {\"cell\": \"CTCGGATCCCAAAAGAAGCTT\", \"bbox\": [346, 53, 442, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [43, 65, 59, 74]}, {\"cell\": \"GTCTGTGCGCCGAAGTCAA\", \"bbox\": [160, 65, 246, 74]}, {\"cell\": \"GCCCGGAAGAAGACCATTC\", \"bbox\": [350, 65, 438, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [43, 77, 59, 86]}, {\"cell\": \"CAGCGGCCTCAACAATGTCT\", \"bbox\": [158, 77, 248, 86]}, {\"cell\": \"ATTCGGATTTCAGGCTCAAGGT\", \"bbox\": [345, 77, 443, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [43, 89, 59, 98]}, {\"cell\": \"GCCTCTCTAGGACTGACGCAAA\", \"bbox\": [153, 89, 253, 98]}, {\"cell\": \"TGGTGACTGTGGCGAGTTACA\", \"bbox\": [347, 89, 442, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [45, 101, 57, 110]}, {\"cell\": \"GATGGACTCCAGCCCTTCAG\", \"bbox\": [158, 101, 248, 110]}, {\"cell\": \"TGGAGAGGGTGAGGCTCTGT\", \"bbox\": [348, 101, 440, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [45, 113, 57, 122]}, {\"cell\": \"GGTGGACGACCCGATGAGT\", \"bbox\": [159, 113, 247, 122]}, {\"cell\": \"GCGATCTGCAGGTCCAAGAT\", \"bbox\": [348, 113, 440, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [45, 125, 57, 134]}, {\"cell\": \"GAAATCCTGCAGCGTGTCATAG\", \"bbox\": [153, 125, 253, 134]}, {\"cell\": \"AAAGCTCCTCTTGTCCTTGGAGAT\", \"bbox\": [341, 125, 447, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [44, 137, 58, 146]}, {\"cell\": \"TCCCCTTGTCGTCATGGTTAC\", \"bbox\": [157, 137, 249, 146]}, {\"cell\": \"TTGAATTTGATCCCAGAGAAAGC\", \"bbox\": [343, 137, 446, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [40, 149, 62, 158]}, {\"cell\": \"ATGCCCAGCATACACTCTCTTGT\", \"bbox\": [152, 149, 254, 158]}, {\"cell\": \"ATAAATACCAGAGAAGCACCGTGAA\", \"bbox\": [336, 149, 452, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [42, 161, 61, 170]}, {\"cell\": \"CCTTTGCCCCAGATGCCTAT\", \"bbox\": [159, 161, 247, 170]}, {\"cell\": \"GGGATCAACCGGTGACATAATG\", \"bbox\": [344, 161, 445, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [43, 173, 60, 182]}, {\"cell\": \"AGAAGCCCAACAAGTGCATGTT\", \"bbox\": [153, 173, 253, 182]}, {\"cell\": \"GGTCGCTGGAGTTGCTGAAG\", \"bbox\": [348, 173, 440, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [43, 185, 60, 194]}, {\"cell\": \"TGCACCTCTTCCATCTTCTCATT\", \"bbox\": [154, 185, 252, 194]}, {\"cell\": \"TTCCCGTTCTTGTGCATATTCAT\", \"bbox\": [345, 185, 443, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 197, 62, 206]}, {\"cell\": \"AAGAAGGGTACATTGAGCGGAAA\", \"bbox\": [149, 197, 257, 206]}, {\"cell\": \"AGGAGCTCACATTGTCAATAGGATT\", \"bbox\": [338, 197, 450, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [43, 208, 59, 218]}, {\"cell\": \"ACCAAGGTCCAGGCTCGAA\", \"bbox\": [159, 208, 247, 218]}, {\"cell\": \"GCATCTTGTCGTACCATCTCCTTT\", \"bbox\": [343, 208, 446, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [43, 220, 59, 230]}, {\"cell\": \"AAGAGTGACATGAGTGCCATTGTC\", \"bbox\": [149, 220, 257, 230]}, {\"cell\": \"GAAGCCCTCCACGTGTGTGTA\", \"bbox\": [347, 220, 442, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [43, 232, 59, 242]}, {\"cell\": \"AAGCTGTGGTTCACCCGATTC\", \"bbox\": [156, 232, 250, 242]}, {\"cell\": \"GGGCAAAGACATCTGGTAGACAGT\", \"bbox\": [339, 232, 449, 242]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [43, 244, 60, 254]}, {\"cell\": \"GTGGTGTTGATTGACGATGATGTAG\", \"bbox\": [147, 244, 259, 254]}, {\"cell\": \"ACCCCCATTGAGAAACTCCAT\", \"bbox\": [347, 244, 441, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 256, 61, 266]}, {\"cell\": \"AGGAGCCAAGAGTTAAAGAAATCTAAAA\", \"bbox\": [139, 256, 267, 266]}, {\"cell\": \"TTTCCCATAGGATAGATGTGCCTAA\", \"bbox\": [339, 256, 449, 266]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [45, 268, 58, 278]}, {\"cell\": \"CAATGCCCAATGCCATCTG\", \"bbox\": [160, 268, 246, 278]}, {\"cell\": \"ACTTCACCTCCTTCACTGGGTATC\", \"bbox\": [342, 268, 446, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 280, 61, 290]}, {\"cell\": \"CCATGTCTCTATTGTACGCGAGAA\", \"bbox\": [150, 280, 256, 290]}, {\"cell\": \"AAGATGCCCCTGGAGAATGTG\", \"bbox\": [346, 280, 442, 290]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 292, 61, 301]}, {\"cell\": \"AAACGTGCCCACTATCGACAT\", \"bbox\": [155, 292, 250, 301]}, {\"cell\": \"CGGACGACGAAGGCTAGATC\", \"bbox\": [347, 292, 441, 301]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 304, 61, 313]}, {\"cell\": \"TTAGCATCTTCCTCAGCCTCCTT\", \"bbox\": [154, 304, 252, 313]}, {\"cell\": \"GAGCATTTTTATCCCCAATCAGAA\", \"bbox\": [341, 304, 447, 313]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [42, 316, 61, 325]}, {\"cell\": \"AGCTGAGACCTGGAGAATTTGTAGTT\", \"bbox\": [145, 316, 261, 325]}, {\"cell\": \"TAGCGTCTGTCTGAATGTAGTCCAT\", \"bbox\": [339, 316, 449, 325]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [33, 328, 69, 337]}, {\"cell\": \"GCTGCAATCACGGAGTTTGTT\", \"bbox\": [156, 328, 250, 337]}, {\"cell\": \"GTCTTCTCCGGGCTTTCTACAC\", \"bbox\": [346, 328, 442, 337]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3196718_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Stroke typeExacerbation frequencyCases (%)Controls (%)Crude ORa (95% CI)Adjusted ORb (95% CI)
All stroke[EMPTY_CELL]n=6,431n=19,292[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]4,709 (73.2)13,864 (71.9)11
[EMPTY_CELL][EMPTY_CELL]1,722 (26.8)5,428 (28.1)0.94 (0.88–1.00)0.95 (0.89–1.01)
Ischemic[EMPTY_CELL]n=1,262n=3,786[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]944 (74.8)2,769 (73.1)11
[EMPTY_CELL][EMPTY_CELL]318 (25.2)1,017 (26.9)0.93 (0.79–1.07)0.93 (0.81–1.08)
Hemorrhagic[EMPTY_CELL]n=420n=1,260[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]331 (78.8)900 (71.4)11
[EMPTY_CELL][EMPTY_CELL]89 (21.2)360 (28.6)0.68 (0.52–0.88)0.67 (0.51–0.88)
TIA[EMPTY_CELL]n=2,457n=7,371[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]1,758 (71.6)5,254 (71.3)11
[EMPTY_CELL][EMPTY_CELL]699 (28.5)2,117 (28.7)0.99 (0.89–1.09)1.00 (0.90–1.11)
\", \"cells\": [{\"cell\": \"Stroke type\", \"bbox\": [1, 4, 46, 14]}, {\"cell\": \"Exacerbation frequency\", \"bbox\": [72, 4, 162, 14]}, {\"cell\": \"Cases (%)\", \"bbox\": [181, 4, 219, 14]}, {\"cell\": \"Controls (%)\", \"bbox\": [240, 4, 289, 14]}, {\"cell\": \"Crude ORa (95% CI)\", \"bbox\": [308, 4, 384, 14]}, {\"cell\": \"Adjusted ORb (95% CI)\", \"bbox\": [403, 4, 490, 14]}, {\"cell\": \"All stroke\", \"bbox\": [1, 18, 35, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"n=6,431\", \"bbox\": [181, 16, 212, 29]}, {\"cell\": \"n=19,292\", \"bbox\": [240, 16, 276, 29]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [72, 29, 107, 39]}, {\"cell\": \"4,709 (73.2)\", \"bbox\": [181, 29, 222, 39]}, {\"cell\": \"13,864 (71.9)\", \"bbox\": [240, 29, 285, 39]}, {\"cell\": \"1\", \"bbox\": [308, 29, 314, 39]}, {\"cell\": \"1\", \"bbox\": [403, 29, 409, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [72, 40, 103, 50]}, {\"cell\": \"1,722 (26.8)\", \"bbox\": [181, 40, 222, 50]}, {\"cell\": \"5,428 (28.1)\", \"bbox\": [240, 40, 281, 50]}, {\"cell\": \"0.94 (0.88–1.00)\", \"bbox\": [308, 40, 362, 50]}, {\"cell\": \"0.95 (0.89–1.01)\", \"bbox\": [403, 40, 457, 50]}, {\"cell\": \"Ischemic\", \"bbox\": [1, 51, 30, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"n=1,262\", \"bbox\": [181, 50, 212, 62]}, {\"cell\": \"n=3,786\", \"bbox\": [240, 50, 271, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [72, 63, 107, 73]}, {\"cell\": \"944 (74.8)\", \"bbox\": [181, 63, 216, 73]}, {\"cell\": \"2,769 (73.1)\", \"bbox\": [240, 63, 281, 73]}, {\"cell\": \"1\", \"bbox\": [308, 63, 314, 73]}, {\"cell\": \"1\", \"bbox\": [403, 63, 409, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [72, 74, 103, 84]}, {\"cell\": \"318 (25.2)\", \"bbox\": [181, 74, 216, 84]}, {\"cell\": \"1,017 (26.9)\", \"bbox\": [240, 74, 281, 84]}, {\"cell\": \"0.93 (0.79–1.07)\", \"bbox\": [308, 74, 362, 84]}, {\"cell\": \"0.93 (0.81–1.08)\", \"bbox\": [403, 74, 457, 84]}, {\"cell\": \"Hemorrhagic\", \"bbox\": [1, 85, 45, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"n=420\", \"bbox\": [181, 84, 205, 96]}, {\"cell\": \"n=1,260\", \"bbox\": [240, 84, 271, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [72, 97, 107, 107]}, {\"cell\": \"331 (78.8)\", \"bbox\": [181, 97, 216, 107]}, {\"cell\": \"900 (71.4)\", \"bbox\": [240, 97, 275, 107]}, {\"cell\": \"1\", \"bbox\": [308, 97, 314, 107]}, {\"cell\": \"1\", \"bbox\": [403, 97, 409, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [72, 108, 103, 118]}, {\"cell\": \"89 (21.2)\", \"bbox\": [181, 108, 212, 118]}, {\"cell\": \"360 (28.6)\", \"bbox\": [240, 108, 275, 118]}, {\"cell\": \"0.68 (0.52–0.88)\", \"bbox\": [308, 108, 362, 118]}, {\"cell\": \"0.67 (0.51–0.88)\", \"bbox\": [403, 108, 457, 118]}, {\"cell\": \"TIA\", \"bbox\": [1, 119, 15, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"n=2,457\", \"bbox\": [181, 117, 212, 130]}, {\"cell\": \"n=7,371\", \"bbox\": [240, 117, 271, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [72, 131, 107, 140]}, {\"cell\": \"1,758 (71.6)\", \"bbox\": [181, 131, 222, 140]}, {\"cell\": \"5,254 (71.3)\", \"bbox\": [240, 131, 281, 140]}, {\"cell\": \"1\", \"bbox\": [308, 131, 314, 140]}, {\"cell\": \"1\", \"bbox\": [403, 131, 409, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [72, 142, 103, 151]}, {\"cell\": \"699 (28.5)\", \"bbox\": [181, 142, 216, 151]}, {\"cell\": \"2,117 (28.7)\", \"bbox\": [240, 142, 281, 151]}, {\"cell\": \"0.99 (0.89–1.09)\", \"bbox\": [308, 142, 362, 151]}, {\"cell\": \"1.00 (0.90–1.11)\", \"bbox\": [403, 142, 457, 151]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4745831_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Top 20SymbolRatio (Bach1-/- : wild)Top 20SymbolNormalized expression level
1LOC6359925.821[EMPTY_CELL]23704
2Mllt35.792[EMPTY_CELL]21177
34930481F22Rik4.693[EMPTY_CELL]18945
4Unknown4.314[EMPTY_CELL]18837
5Tnfrsf264.295[EMPTY_CELL]18423
6Nlrp4d4.196[EMPTY_CELL]18007
7Ly94.067[EMPTY_CELL]17696
8V1re104.018[EMPTY_CELL]17167
9V1rh213.649[EMPTY_CELL]17069
10Hmox13.6310[EMPTY_CELL]16832
11Lefty23.611[EMPTY_CELL]16831
12Cdkl33.5812[EMPTY_CELL]16623
13Unknown3.5513[EMPTY_CELL]16615
144933407L21Rik3.5214[EMPTY_CELL]16589
15Arhgap43.515[EMPTY_CELL]16534
16Serpina1f3.4316[EMPTY_CELL]16487
17Xmr3.3817[EMPTY_CELL]16335
18Gldn3.3518[EMPTY_CELL]15922
19Ckt23.3519[EMPTY_CELL]15662
20Hmgb1l3.3420[EMPTY_CELL]15642
\", \"cells\": [{\"cell\": \"Top 20\", \"bbox\": [1, 4, 25, 13]}, {\"cell\": \"Symbol\", \"bbox\": [63, 4, 89, 13]}, {\"cell\": \"Ratio (Bach1-/- : wild)\", \"bbox\": [151, 2, 220, 13]}, {\"cell\": \"Top 20\", \"bbox\": [258, 4, 282, 13]}, {\"cell\": \"Symbol\", \"bbox\": [321, 4, 347, 13]}, {\"cell\": \"Normalized expression level\", \"bbox\": [393, 4, 484, 13]}, {\"cell\": \"1\", \"bbox\": [0, 17, 6, 27]}, {\"cell\": \"LOC635992\", \"bbox\": [63, 17, 102, 27]}, {\"cell\": \"5.82\", \"bbox\": [151, 17, 166, 27]}, {\"cell\": \"1\", \"bbox\": [258, 17, 264, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [321, 17, 337, 27]}, {\"cell\": \"23704\", \"bbox\": [393, 17, 414, 27]}, {\"cell\": \"2\", \"bbox\": [0, 31, 6, 41]}, {\"cell\": \"Mllt3\", \"bbox\": [63, 31, 81, 41]}, {\"cell\": \"5.79\", \"bbox\": [151, 31, 166, 41]}, {\"cell\": \"2\", \"bbox\": [258, 31, 264, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [321, 31, 335, 41]}, {\"cell\": \"21177\", \"bbox\": [393, 31, 414, 41]}, {\"cell\": \"3\", \"bbox\": [0, 45, 6, 55]}, {\"cell\": \"4930481F22Rik\", \"bbox\": [63, 45, 112, 55]}, {\"cell\": \"4.69\", \"bbox\": [151, 45, 166, 55]}, {\"cell\": \"3\", \"bbox\": [258, 45, 264, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [321, 45, 348, 55]}, {\"cell\": \"18945\", \"bbox\": [393, 45, 414, 55]}, {\"cell\": \"4\", \"bbox\": [0, 59, 6, 69]}, {\"cell\": \"Unknown\", \"bbox\": [63, 59, 96, 69]}, {\"cell\": \"4.31\", \"bbox\": [151, 59, 166, 69]}, {\"cell\": \"4\", \"bbox\": [258, 59, 264, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [321, 59, 335, 69]}, {\"cell\": \"18837\", \"bbox\": [393, 59, 414, 69]}, {\"cell\": \"5\", \"bbox\": [0, 73, 6, 83]}, {\"cell\": \"Tnfrsf26\", \"bbox\": [63, 73, 90, 83]}, {\"cell\": \"4.29\", \"bbox\": [151, 73, 166, 83]}, {\"cell\": \"5\", \"bbox\": [258, 73, 264, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [321, 73, 353, 83]}, {\"cell\": \"18423\", \"bbox\": [393, 73, 414, 83]}, {\"cell\": \"6\", \"bbox\": [0, 87, 6, 97]}, {\"cell\": \"Nlrp4d\", \"bbox\": [63, 87, 87, 97]}, {\"cell\": \"4.19\", \"bbox\": [151, 87, 166, 97]}, {\"cell\": \"6\", \"bbox\": [258, 87, 264, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [321, 87, 342, 97]}, {\"cell\": \"18007\", \"bbox\": [393, 87, 414, 97]}, {\"cell\": \"7\", \"bbox\": [0, 101, 6, 111]}, {\"cell\": \"Ly9\", \"bbox\": [63, 101, 76, 111]}, {\"cell\": \"4.06\", \"bbox\": [151, 101, 166, 111]}, {\"cell\": \"7\", \"bbox\": [258, 101, 264, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [321, 101, 337, 111]}, {\"cell\": \"17696\", \"bbox\": [393, 101, 414, 111]}, {\"cell\": \"8\", \"bbox\": [0, 115, 6, 125]}, {\"cell\": \"V1re10\", \"bbox\": [63, 115, 87, 125]}, {\"cell\": \"4.01\", \"bbox\": [151, 115, 166, 125]}, {\"cell\": \"8\", \"bbox\": [258, 115, 264, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [321, 115, 335, 125]}, {\"cell\": \"17167\", \"bbox\": [393, 115, 414, 125]}, {\"cell\": \"9\", \"bbox\": [0, 129, 6, 139]}, {\"cell\": \"V1rh21\", \"bbox\": [63, 129, 87, 139]}, {\"cell\": \"3.64\", \"bbox\": [151, 129, 166, 139]}, {\"cell\": \"9\", \"bbox\": [258, 129, 264, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [321, 129, 353, 139]}, {\"cell\": \"17069\", \"bbox\": [393, 129, 414, 139]}, {\"cell\": \"10\", \"bbox\": [0, 143, 10, 153]}, {\"cell\": \"Hmox1\", \"bbox\": [63, 143, 90, 151]}, {\"cell\": \"3.63\", \"bbox\": [151, 143, 168, 151]}, {\"cell\": \"10\", \"bbox\": [258, 143, 268, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [321, 143, 341, 153]}, {\"cell\": \"16832\", \"bbox\": [393, 143, 414, 153]}, {\"cell\": \"11\", \"bbox\": [0, 157, 10, 167]}, {\"cell\": \"Lefty2\", \"bbox\": [63, 157, 85, 167]}, {\"cell\": \"3.6\", \"bbox\": [151, 157, 162, 167]}, {\"cell\": \"11\", \"bbox\": [258, 157, 268, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [321, 157, 344, 167]}, {\"cell\": \"16831\", \"bbox\": [393, 157, 414, 167]}, {\"cell\": \"12\", \"bbox\": [0, 171, 10, 180]}, {\"cell\": \"Cdkl3\", \"bbox\": [63, 171, 83, 180]}, {\"cell\": \"3.58\", \"bbox\": [151, 171, 166, 180]}, {\"cell\": \"12\", \"bbox\": [258, 171, 268, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [321, 171, 345, 180]}, {\"cell\": \"16623\", \"bbox\": [393, 171, 414, 180]}, {\"cell\": \"13\", \"bbox\": [0, 185, 10, 194]}, {\"cell\": \"Unknown\", \"bbox\": [63, 185, 96, 194]}, {\"cell\": \"3.55\", \"bbox\": [151, 185, 166, 194]}, {\"cell\": \"13\", \"bbox\": [258, 185, 268, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [321, 185, 337, 194]}, {\"cell\": \"16615\", \"bbox\": [393, 185, 414, 194]}, {\"cell\": \"14\", \"bbox\": [0, 199, 10, 208]}, {\"cell\": \"4933407L21Rik\", \"bbox\": [63, 199, 112, 208]}, {\"cell\": \"3.52\", \"bbox\": [151, 199, 166, 208]}, {\"cell\": \"14\", \"bbox\": [258, 199, 268, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [321, 199, 353, 208]}, {\"cell\": \"16589\", \"bbox\": [393, 199, 414, 208]}, {\"cell\": \"15\", \"bbox\": [0, 213, 10, 222]}, {\"cell\": \"Arhgap4\", \"bbox\": [63, 213, 93, 222]}, {\"cell\": \"3.5\", \"bbox\": [151, 213, 162, 222]}, {\"cell\": \"15\", \"bbox\": [258, 213, 268, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [321, 213, 348, 221]}, {\"cell\": \"16534\", \"bbox\": [393, 213, 416, 221]}, {\"cell\": \"16\", \"bbox\": [0, 227, 10, 236]}, {\"cell\": \"Serpina1f\", \"bbox\": [63, 227, 95, 236]}, {\"cell\": \"3.43\", \"bbox\": [151, 227, 166, 236]}, {\"cell\": \"16\", \"bbox\": [258, 227, 268, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [321, 227, 355, 236]}, {\"cell\": \"16487\", \"bbox\": [393, 227, 414, 236]}, {\"cell\": \"17\", \"bbox\": [0, 241, 10, 250]}, {\"cell\": \"Xmr\", \"bbox\": [63, 241, 79, 250]}, {\"cell\": \"3.38\", \"bbox\": [151, 241, 166, 250]}, {\"cell\": \"17\", \"bbox\": [258, 241, 268, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [321, 241, 337, 250]}, {\"cell\": \"16335\", \"bbox\": [393, 241, 414, 250]}, {\"cell\": \"18\", \"bbox\": [0, 255, 10, 264]}, {\"cell\": \"Gldn\", \"bbox\": [63, 255, 81, 264]}, {\"cell\": \"3.35\", \"bbox\": [151, 255, 166, 264]}, {\"cell\": \"18\", \"bbox\": [258, 255, 268, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [321, 255, 335, 264]}, {\"cell\": \"15922\", \"bbox\": [393, 255, 414, 264]}, {\"cell\": \"19\", \"bbox\": [0, 269, 10, 278]}, {\"cell\": \"Ckt2\", \"bbox\": [63, 269, 79, 278]}, {\"cell\": \"3.35\", \"bbox\": [151, 269, 166, 278]}, {\"cell\": \"19\", \"bbox\": [258, 269, 268, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [321, 269, 341, 278]}, {\"cell\": \"15662\", \"bbox\": [393, 269, 414, 278]}, {\"cell\": \"20\", \"bbox\": [0, 283, 10, 292]}, {\"cell\": \"Hmgb1l\", \"bbox\": [63, 283, 91, 292]}, {\"cell\": \"3.34\", \"bbox\": [151, 283, 166, 292]}, {\"cell\": \"20\", \"bbox\": [258, 283, 268, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [321, 283, 337, 292]}, {\"cell\": \"15642\", \"bbox\": [393, 283, 414, 292]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4603301_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
GenBank accessionHomology to the known genesNo. of BACs + ve for ESTEST source
AI437902[EMPTY_CELL]7Gm
AI442296[EMPTY_CELL]7Gm
AI441021[EMPTY_CELL]8Gm
AI460618[EMPTY_CELL]8Gm
BI273655[EMPTY_CELL]8Fi
BI273688[EMPTY_CELL]8Fi
BI347330[EMPTY_CELL]9Fi
BI273660[EMPTY_CELL]9Fi
CF675620[EMPTY_CELL]10Fi
BI119568[EMPTY_CELL]10Fi
BI119558[EMPTY_CELL]10Fi
AI440721[EMPTY_CELL]10Gm
AI460671[EMPTY_CELL]13Gm
AI441809[EMPTY_CELL]13Gm
BI119573[EMPTY_CELL]13Fi
BI273669[EMPTY_CELL]15Fi
\", \"cells\": [{\"cell\": \"GenBank accession\", \"bbox\": [4, 4, 71, 14]}, {\"cell\": \"Homology to the known genes\", \"bbox\": [151, 4, 257, 14]}, {\"cell\": \"No. of BACs + ve for EST\", \"bbox\": [327, 4, 417, 14]}, {\"cell\": \"EST source\", \"bbox\": [449, 4, 489, 14]}, {\"cell\": \"AI437902\", \"bbox\": [4, 27, 39, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 27, 238, 36]}, {\"cell\": \"7\", \"bbox\": [369, 27, 375, 36]}, {\"cell\": \"Gm\", \"bbox\": [462, 27, 476, 36]}, {\"cell\": \"AI442296\", \"bbox\": [4, 37, 39, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 37, 244, 47]}, {\"cell\": \"7\", \"bbox\": [369, 37, 375, 47]}, {\"cell\": \"Gm\", \"bbox\": [462, 37, 476, 47]}, {\"cell\": \"AI441021\", \"bbox\": [4, 47, 39, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [146, 47, 262, 57]}, {\"cell\": \"8\", \"bbox\": [369, 47, 375, 57]}, {\"cell\": \"Gm\", \"bbox\": [462, 47, 476, 57]}, {\"cell\": \"AI460618\", \"bbox\": [4, 57, 39, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [138, 57, 270, 67]}, {\"cell\": \"8\", \"bbox\": [369, 57, 375, 67]}, {\"cell\": \"Gm\", \"bbox\": [462, 57, 476, 67]}, {\"cell\": \"BI273655\", \"bbox\": [4, 68, 38, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 68, 253, 77]}, {\"cell\": \"8\", \"bbox\": [369, 68, 375, 77]}, {\"cell\": \"Fi\", \"bbox\": [465, 68, 473, 77]}, {\"cell\": \"BI273688\", \"bbox\": [4, 78, 38, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 78, 253, 88]}, {\"cell\": \"8\", \"bbox\": [369, 78, 375, 88]}, {\"cell\": \"Fi\", \"bbox\": [465, 78, 473, 88]}, {\"cell\": \"BI347330\", \"bbox\": [4, 88, 38, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 88, 276, 98]}, {\"cell\": \"9\", \"bbox\": [369, 88, 375, 98]}, {\"cell\": \"Fi\", \"bbox\": [465, 88, 473, 98]}, {\"cell\": \"BI273660\", \"bbox\": [4, 98, 38, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 98, 211, 108]}, {\"cell\": \"9\", \"bbox\": [369, 98, 375, 108]}, {\"cell\": \"Fi\", \"bbox\": [465, 98, 473, 108]}, {\"cell\": \"CF675620\", \"bbox\": [4, 109, 41, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [146, 109, 261, 118]}, {\"cell\": \"10\", \"bbox\": [367, 109, 377, 118]}, {\"cell\": \"Fi\", \"bbox\": [465, 109, 473, 118]}, {\"cell\": \"BI119568\", \"bbox\": [4, 119, 38, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 119, 211, 129]}, {\"cell\": \"10\", \"bbox\": [367, 119, 377, 129]}, {\"cell\": \"Fi\", \"bbox\": [465, 119, 473, 129]}, {\"cell\": \"BI119558\", \"bbox\": [4, 129, 38, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [151, 129, 256, 139]}, {\"cell\": \"10\", \"bbox\": [367, 129, 377, 139]}, {\"cell\": \"Fi\", \"bbox\": [465, 129, 473, 139]}, {\"cell\": \"AI440721\", \"bbox\": [4, 139, 39, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [137, 139, 270, 149]}, {\"cell\": \"10\", \"bbox\": [367, 139, 377, 149]}, {\"cell\": \"Gm\", \"bbox\": [462, 139, 476, 149]}, {\"cell\": \"AI460671\", \"bbox\": [4, 150, 39, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 150, 241, 159]}, {\"cell\": \"13\", \"bbox\": [367, 150, 377, 159]}, {\"cell\": \"Gm\", \"bbox\": [462, 150, 476, 159]}, {\"cell\": \"AI441809\", \"bbox\": [4, 160, 39, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [177, 160, 231, 170]}, {\"cell\": \"13\", \"bbox\": [367, 160, 377, 170]}, {\"cell\": \"Gm\", \"bbox\": [462, 160, 476, 170]}, {\"cell\": \"BI119573\", \"bbox\": [4, 170, 38, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 170, 253, 180]}, {\"cell\": \"13\", \"bbox\": [367, 170, 377, 180]}, {\"cell\": \"Fi\", \"bbox\": [465, 170, 473, 180]}, {\"cell\": \"BI273669\", \"bbox\": [4, 180, 38, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [181, 180, 227, 190]}, {\"cell\": \"15\", \"bbox\": [367, 180, 377, 190]}, {\"cell\": \"Fi\", \"bbox\": [465, 180, 473, 190]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC1716159_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
SubsystemSubsystem feature countSubsystem feature (%)
Fatty acids, lipids and isoprenoids[EMPTY_CELL]100
Phospholipids[EMPTY_CELL]15.46
Cardiolipin synthesis[EMPTY_CELL]6.67
Glycerolipid and glycerophospholipid metabolism in bacteria[EMPTY_CELL]93.33
Triacylglycerols[EMPTY_CELL]1.55
Triacylglycerol metabolism[EMPTY_CELL]100
Fatty acids[EMPTY_CELL]36.60
Fatty acid biosynthesis FASII[EMPTY_CELL]42.25
Fatty acid metabolism cluster[EMPTY_CELL]57.75
Fatty acids, lipids and isoprenoids - no subcategory[EMPTY_CELL]28.87
Polyhydroxybutyrate metabolism[EMPTY_CELL]100
Isoprenoids[EMPTY_CELL]17.53
Isoprenoids for quinones[EMPTY_CELL]14.71
Isoprenoid biosynthesis[EMPTY_CELL]52.94
Polyprenyl diphosphate biosynthesis[EMPTY_CELL]11.76
Nonmevalonate branch of isoprenoid Biosynthesis[EMPTY_CELL]20.59
\", \"cells\": [{\"cell\": \"Subsystem\", \"bbox\": [1, 16, 37, 26]}, {\"cell\": \"Subsystem feature count\", \"bbox\": [150, 16, 195, 35]}, {\"cell\": \"Subsystem feature (%)\", \"bbox\": [200, 16, 236, 35]}, {\"cell\": \"Fatty acids, lipids and isoprenoids\", \"bbox\": [1, 38, 121, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 38, 165, 48]}, {\"cell\": \"100\", \"bbox\": [200, 38, 215, 48]}, {\"cell\": \" Phospholipids\", \"bbox\": [13, 52, 64, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 52, 160, 62]}, {\"cell\": \"15.46\", \"bbox\": [200, 52, 221, 62]}, {\"cell\": \"Cardiolipin synthesis\", \"bbox\": [16, 66, 84, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 66, 156, 76]}, {\"cell\": \"6.67\", \"bbox\": [200, 66, 215, 76]}, {\"cell\": \"Glycerolipid and glycerophospholipid metabolism in bacteria\", \"bbox\": [16, 80, 138, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 80, 159, 90]}, {\"cell\": \"93.33\", \"bbox\": [200, 80, 218, 90]}, {\"cell\": \" Triacylglycerols\", \"bbox\": [8, 103, 64, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 103, 156, 113]}, {\"cell\": \"1.55\", \"bbox\": [200, 103, 216, 113]}, {\"cell\": \"Triacylglycerol metabolism\", \"bbox\": [16, 117, 103, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 117, 156, 127]}, {\"cell\": \"100\", \"bbox\": [200, 117, 213, 127]}, {\"cell\": \" Fatty acids\", \"bbox\": [8, 131, 48, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 131, 160, 141]}, {\"cell\": \"36.60\", \"bbox\": [200, 131, 221, 141]}, {\"cell\": \"Fatty acid biosynthesis FASII\", \"bbox\": [16, 145, 108, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 145, 159, 155]}, {\"cell\": \"42.25\", \"bbox\": [200, 145, 218, 155]}, {\"cell\": \"Fatty acid metabolism cluster\", \"bbox\": [16, 159, 113, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 159, 159, 169]}, {\"cell\": \"57.75\", \"bbox\": [200, 159, 218, 169]}, {\"cell\": \" Fatty acids, lipids and isoprenoids - no subcategory\", \"bbox\": [8, 173, 145, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 173, 160, 183]}, {\"cell\": \"28.87\", \"bbox\": [200, 173, 221, 183]}, {\"cell\": \"Polyhydroxybutyrate metabolism\", \"bbox\": [16, 196, 124, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 196, 159, 206]}, {\"cell\": \"100\", \"bbox\": [200, 196, 213, 206]}, {\"cell\": \" Isoprenoids\", \"bbox\": [8, 210, 51, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 210, 160, 220]}, {\"cell\": \"17.53\", \"bbox\": [200, 210, 221, 220]}, {\"cell\": \"Isoprenoids for quinones\", \"bbox\": [16, 224, 98, 234]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 224, 156, 234]}, {\"cell\": \"14.71\", \"bbox\": [200, 224, 218, 234]}, {\"cell\": \"Isoprenoid biosynthesis\", \"bbox\": [16, 238, 93, 248]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 238, 159, 248]}, {\"cell\": \"52.94\", \"bbox\": [200, 238, 218, 248]}, {\"cell\": \"Polyprenyl diphosphate biosynthesis\", \"bbox\": [16, 252, 135, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 252, 156, 262]}, {\"cell\": \"11.76\", \"bbox\": [200, 252, 218, 262]}, {\"cell\": \"Nonmevalonate branch of isoprenoid Biosynthesis\", \"bbox\": [16, 266, 139, 285]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 266, 156, 276]}, {\"cell\": \"20.59\", \"bbox\": [200, 266, 218, 276]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5648520_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Human TFsPMID# total TGs# DETGsFold ratioCorrected p-valueCell lines
TRIM28213433398521[EMPTY_CELL]1.8E-05HEK293
ESR12123577221336[EMPTY_CELL]4.8E-04MCF-7
CLOCK2055115139858[EMPTY_CELL]2.3E-05293 T
ESR22123577239257[EMPTY_CELL]9.1E-07MCF-7
SMAD3217413761074144[EMPTY_CELL]1.4E-06HESC
SOX2207267972060275[EMPTY_CELL]<3.45E-14SW620
RELA245234061147152[EMPTY_CELL]<3.45E-14A549
BACH1228758531183150[EMPTY_CELL]<3.45E-14HELA-AND-SCP4
GATA11994182670084[EMPTY_CELL]3.8E-14K562
TP531847453073488[EMPTY_CELL]4.4E-06U2OS
GATA22166660063475[EMPTY_CELL]2.1E-06HMVEC
PAX3-FKHR20663909975115[EMPTY_CELL]4.8E-05RHABDOMYOSARCOMA
SMAD4217413762032237[EMPTY_CELL]2.4E-08HESC
DROSHA2298097844151[EMPTY_CELL]<3.45E-14HELA
ZNF217249628961400160[EMPTY_CELL]8.7E-03MCF7
NFE2L22258177750858[EMPTY_CELL]4.7E-11LYMPHOBLASTOID
EOMES2124516286198[EMPTY_CELL]3.7E-03HESC
SMAD2189555041643184[EMPTY_CELL]4.1E-06HaCaT
SMAD3189555041643184[EMPTY_CELL]3.8E-12HaCaT
NR3C1218687561023111[EMPTY_CELL]3.8E-12MCF10A
DNAJC22117916980387[EMPTY_CELL]6.1E-06NT2
EGR1206901475216549[EMPTY_CELL]2.4E-04ERYTHROLEUKEMIA
SOX2212110352830288[EMPTY_CELL]<3.45E-14LN229_GBM
GATA2199418261727175[EMPTY_CELL]<3.45E-14K562
MYC199157071793177[EMPTY_CELL]8.5E-08AK7
AR196683812958291[EMPTY_CELL]5.0E-07PC3
ATF3236801491995193[EMPTY_CELL]8.8E-13GBM1-GSC
SMAD4217999152302220[EMPTY_CELL]4.3E-07A2780
GATA1215712182388228[EMPTY_CELL]7.2E-08MEGAKARYOCYTES
\", \"cells\": [{\"cell\": \"Human TFs\", \"bbox\": [1, 4, 39, 13]}, {\"cell\": \"PMID\", \"bbox\": [68, 4, 87, 13]}, {\"cell\": \"# total TGs\", \"bbox\": [131, 4, 167, 13]}, {\"cell\": \"# DETGs\", \"bbox\": [197, 4, 225, 13]}, {\"cell\": \"Fold ratio\", \"bbox\": [255, 4, 287, 13]}, {\"cell\": \"Corrected p-value\", \"bbox\": [317, 4, 376, 13]}, {\"cell\": \"Cell lines\", \"bbox\": [406, 4, 436, 13]}, {\"cell\": \"TRIM28\", \"bbox\": [1, 17, 26, 26]}, {\"cell\": \"21343339\", \"bbox\": [68, 17, 101, 26]}, {\"cell\": \"85\", \"bbox\": [131, 17, 140, 26]}, {\"cell\": \"21\", \"bbox\": [197, 17, 206, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 17, 266, 26]}, {\"cell\": \"1.8E-05\", \"bbox\": [317, 17, 342, 26]}, {\"cell\": \"HEK293\", \"bbox\": [406, 17, 432, 26]}, {\"cell\": \"ESR1\", \"bbox\": [1, 31, 18, 40]}, {\"cell\": \"21235772\", \"bbox\": [68, 31, 101, 40]}, {\"cell\": \"213\", \"bbox\": [131, 31, 144, 40]}, {\"cell\": \"36\", \"bbox\": [197, 31, 206, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 31, 266, 40]}, {\"cell\": \"4.8E-04\", \"bbox\": [317, 31, 342, 40]}, {\"cell\": \"MCF-7\", \"bbox\": [406, 31, 428, 40]}, {\"cell\": \"CLOCK\", \"bbox\": [1, 45, 24, 54]}, {\"cell\": \"20551151\", \"bbox\": [68, 45, 101, 54]}, {\"cell\": \"398\", \"bbox\": [131, 45, 144, 54]}, {\"cell\": \"58\", \"bbox\": [197, 45, 206, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 45, 266, 54]}, {\"cell\": \"2.3E-05\", \"bbox\": [317, 45, 342, 54]}, {\"cell\": \"293 T\", \"bbox\": [406, 45, 425, 54]}, {\"cell\": \"ESR2\", \"bbox\": [1, 59, 18, 68]}, {\"cell\": \"21235772\", \"bbox\": [68, 59, 101, 68]}, {\"cell\": \"392\", \"bbox\": [131, 59, 144, 68]}, {\"cell\": \"57\", \"bbox\": [197, 59, 206, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 59, 266, 68]}, {\"cell\": \"9.1E-07\", \"bbox\": [317, 59, 342, 68]}, {\"cell\": \"MCF-7\", \"bbox\": [406, 59, 428, 68]}, {\"cell\": \"SMAD3\", \"bbox\": [1, 73, 26, 82]}, {\"cell\": \"21741376\", \"bbox\": [68, 73, 101, 82]}, {\"cell\": \"1074\", \"bbox\": [131, 73, 148, 82]}, {\"cell\": \"144\", \"bbox\": [197, 73, 210, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 73, 266, 82]}, {\"cell\": \"1.4E-06\", \"bbox\": [317, 73, 342, 82]}, {\"cell\": \"HESC\", \"bbox\": [406, 73, 425, 82]}, {\"cell\": \"SOX2\", \"bbox\": [1, 87, 20, 96]}, {\"cell\": \"20726797\", \"bbox\": [68, 87, 101, 96]}, {\"cell\": \"2060\", \"bbox\": [131, 87, 148, 96]}, {\"cell\": \"275\", \"bbox\": [197, 87, 210, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 87, 266, 96]}, {\"cell\": \"<3.45E-14\", \"bbox\": [317, 87, 350, 96]}, {\"cell\": \"SW620\", \"bbox\": [406, 87, 430, 96]}, {\"cell\": \"RELA\", \"bbox\": [1, 101, 18, 110]}, {\"cell\": \"24523406\", \"bbox\": [68, 101, 101, 110]}, {\"cell\": \"1147\", \"bbox\": [131, 101, 148, 110]}, {\"cell\": \"152\", \"bbox\": [197, 101, 210, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 101, 266, 110]}, {\"cell\": \"<3.45E-14\", \"bbox\": [317, 101, 350, 110]}, {\"cell\": \"A549\", \"bbox\": [406, 101, 424, 110]}, {\"cell\": \"BACH1\", \"bbox\": [1, 115, 24, 124]}, {\"cell\": \"22875853\", \"bbox\": [68, 115, 101, 124]}, {\"cell\": \"1183\", \"bbox\": [131, 115, 148, 124]}, {\"cell\": \"150\", \"bbox\": [197, 115, 210, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 115, 261, 124]}, {\"cell\": \"<3.45E-14\", \"bbox\": [317, 115, 350, 124]}, {\"cell\": \"HELA-AND-SCP4\", \"bbox\": [406, 115, 460, 124]}, {\"cell\": \"GATA1\", \"bbox\": [1, 129, 24, 138]}, {\"cell\": \"19941826\", \"bbox\": [68, 129, 101, 138]}, {\"cell\": \"700\", \"bbox\": [131, 129, 144, 138]}, {\"cell\": \"84\", \"bbox\": [197, 129, 206, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 129, 266, 138]}, {\"cell\": \"3.8E-14\", \"bbox\": [317, 129, 342, 138]}, {\"cell\": \"K562\", \"bbox\": [406, 129, 423, 138]}, {\"cell\": \"TP53\", \"bbox\": [1, 143, 18, 152]}, {\"cell\": \"18474530\", \"bbox\": [68, 143, 101, 152]}, {\"cell\": \"734\", \"bbox\": [131, 143, 144, 152]}, {\"cell\": \"88\", \"bbox\": [197, 143, 206, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 143, 266, 152]}, {\"cell\": \"4.4E-06\", \"bbox\": [317, 143, 342, 152]}, {\"cell\": \"U2OS\", \"bbox\": [406, 143, 426, 152]}, {\"cell\": \"GATA2\", \"bbox\": [1, 157, 24, 166]}, {\"cell\": \"21666600\", \"bbox\": [68, 157, 101, 166]}, {\"cell\": \"634\", \"bbox\": [131, 157, 144, 166]}, {\"cell\": \"75\", \"bbox\": [197, 157, 206, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 157, 266, 166]}, {\"cell\": \"2.1E-06\", \"bbox\": [317, 157, 342, 166]}, {\"cell\": \"HMVEC\", \"bbox\": [406, 157, 431, 166]}, {\"cell\": \"PAX3-FKHR\", \"bbox\": [1, 171, 38, 180]}, {\"cell\": \"20663909\", \"bbox\": [68, 171, 101, 180]}, {\"cell\": \"975\", \"bbox\": [131, 171, 144, 180]}, {\"cell\": \"115\", \"bbox\": [197, 171, 210, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 171, 266, 180]}, {\"cell\": \"4.8E-05\", \"bbox\": [317, 171, 342, 180]}, {\"cell\": \"RHABDOMYOSARCOMA\", \"bbox\": [406, 171, 484, 180]}, {\"cell\": \"SMAD4\", \"bbox\": [1, 185, 26, 194]}, {\"cell\": \"21741376\", \"bbox\": [68, 185, 101, 194]}, {\"cell\": \"2032\", \"bbox\": [131, 185, 148, 194]}, {\"cell\": \"237\", \"bbox\": [197, 185, 210, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 185, 266, 194]}, {\"cell\": \"2.4E-08\", \"bbox\": [317, 185, 342, 194]}, {\"cell\": \"HESC\", \"bbox\": [406, 185, 425, 194]}, {\"cell\": \"DROSHA\", \"bbox\": [1, 199, 30, 208]}, {\"cell\": \"22980978\", \"bbox\": [68, 199, 101, 208]}, {\"cell\": \"441\", \"bbox\": [131, 199, 144, 208]}, {\"cell\": \"51\", \"bbox\": [197, 199, 206, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 199, 266, 208]}, {\"cell\": \"<3.45E-14\", \"bbox\": [317, 199, 350, 208]}, {\"cell\": \"HELA\", \"bbox\": [406, 199, 425, 208]}, {\"cell\": \"ZNF217\", \"bbox\": [1, 213, 27, 222]}, {\"cell\": \"24962896\", \"bbox\": [68, 213, 101, 222]}, {\"cell\": \"1400\", \"bbox\": [131, 213, 148, 222]}, {\"cell\": \"160\", \"bbox\": [197, 213, 210, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 213, 266, 222]}, {\"cell\": \"8.7E-03\", \"bbox\": [317, 213, 342, 222]}, {\"cell\": \"MCF7\", \"bbox\": [406, 213, 426, 222]}, {\"cell\": \"NFE2L2\", \"bbox\": [1, 227, 26, 236]}, {\"cell\": \"22581777\", \"bbox\": [68, 227, 101, 236]}, {\"cell\": \"508\", \"bbox\": [131, 227, 144, 236]}, {\"cell\": \"58\", \"bbox\": [197, 227, 206, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 227, 266, 236]}, {\"cell\": \"4.7E-11\", \"bbox\": [317, 227, 342, 236]}, {\"cell\": \"LYMPHOBLASTOID\", \"bbox\": [406, 227, 468, 236]}, {\"cell\": \"EOMES\", \"bbox\": [1, 241, 25, 250]}, {\"cell\": \"21245162\", \"bbox\": [68, 241, 101, 250]}, {\"cell\": \"861\", \"bbox\": [131, 241, 144, 250]}, {\"cell\": \"98\", \"bbox\": [197, 241, 206, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 241, 266, 250]}, {\"cell\": \"3.7E-03\", \"bbox\": [317, 241, 342, 250]}, {\"cell\": \"HESC\", \"bbox\": [406, 241, 425, 250]}, {\"cell\": \"SMAD2\", \"bbox\": [1, 255, 26, 264]}, {\"cell\": \"18955504\", \"bbox\": [68, 255, 101, 264]}, {\"cell\": \"1643\", \"bbox\": [131, 255, 148, 264]}, {\"cell\": \"184\", \"bbox\": [197, 255, 210, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 255, 266, 264]}, {\"cell\": \"4.1E-06\", \"bbox\": [317, 255, 342, 264]}, {\"cell\": \"HaCaT\", \"bbox\": [406, 255, 428, 264]}, {\"cell\": \"SMAD3\", \"bbox\": [1, 269, 26, 278]}, {\"cell\": \"18955504\", \"bbox\": [68, 269, 101, 278]}, {\"cell\": \"1643\", \"bbox\": [131, 269, 148, 278]}, {\"cell\": \"184\", \"bbox\": [197, 269, 210, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 269, 266, 278]}, {\"cell\": \"3.8E-12\", \"bbox\": [317, 269, 342, 278]}, {\"cell\": \"HaCaT\", \"bbox\": [406, 269, 428, 278]}, {\"cell\": \"NR3C1\", \"bbox\": [1, 283, 24, 292]}, {\"cell\": \"21868756\", \"bbox\": [68, 283, 101, 292]}, {\"cell\": \"1023\", \"bbox\": [131, 283, 148, 292]}, {\"cell\": \"111\", \"bbox\": [197, 283, 210, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 283, 266, 292]}, {\"cell\": \"3.8E-12\", \"bbox\": [317, 283, 342, 292]}, {\"cell\": \"MCF10A\", \"bbox\": [406, 283, 435, 292]}, {\"cell\": \"DNAJC2\", \"bbox\": [1, 297, 28, 306]}, {\"cell\": \"21179169\", \"bbox\": [68, 297, 101, 306]}, {\"cell\": \"803\", \"bbox\": [131, 297, 144, 306]}, {\"cell\": \"87\", \"bbox\": [197, 297, 206, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 297, 266, 306]}, {\"cell\": \"6.1E-06\", \"bbox\": [317, 297, 342, 306]}, {\"cell\": \"NT2\", \"bbox\": [406, 297, 421, 306]}, {\"cell\": \"EGR1\", \"bbox\": [1, 311, 19, 320]}, {\"cell\": \"20690147\", \"bbox\": [68, 311, 101, 320]}, {\"cell\": \"5216\", \"bbox\": [131, 311, 148, 320]}, {\"cell\": \"549\", \"bbox\": [197, 311, 210, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 311, 266, 320]}, {\"cell\": \"2.4E-04\", \"bbox\": [317, 311, 342, 320]}, {\"cell\": \"ERYTHROLEUKEMIA\", \"bbox\": [406, 311, 470, 320]}, {\"cell\": \"SOX2\", \"bbox\": [1, 325, 20, 334]}, {\"cell\": \"21211035\", \"bbox\": [68, 325, 101, 334]}, {\"cell\": \"2830\", \"bbox\": [131, 325, 148, 334]}, {\"cell\": \"288\", \"bbox\": [197, 325, 210, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 325, 266, 334]}, {\"cell\": \"<3.45E-14\", \"bbox\": [317, 325, 350, 334]}, {\"cell\": \"LN229_GBM\", \"bbox\": [406, 325, 447, 334]}, {\"cell\": \"GATA2\", \"bbox\": [1, 339, 24, 348]}, {\"cell\": \"19941826\", \"bbox\": [68, 339, 101, 348]}, {\"cell\": \"1727\", \"bbox\": [131, 339, 148, 348]}, {\"cell\": \"175\", \"bbox\": [197, 339, 210, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 339, 266, 348]}, {\"cell\": \"<3.45E-14\", \"bbox\": [317, 339, 350, 348]}, {\"cell\": \"K562\", \"bbox\": [406, 339, 423, 348]}, {\"cell\": \"MYC\", \"bbox\": [1, 353, 17, 362]}, {\"cell\": \"19915707\", \"bbox\": [68, 353, 101, 362]}, {\"cell\": \"1793\", \"bbox\": [131, 353, 148, 362]}, {\"cell\": \"177\", \"bbox\": [197, 353, 210, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 353, 266, 362]}, {\"cell\": \"8.5E-08\", \"bbox\": [317, 353, 342, 362]}, {\"cell\": \"AK7\", \"bbox\": [406, 353, 420, 362]}, {\"cell\": \"AR\", \"bbox\": [1, 367, 11, 376]}, {\"cell\": \"19668381\", \"bbox\": [68, 367, 101, 376]}, {\"cell\": \"2958\", \"bbox\": [131, 367, 148, 376]}, {\"cell\": \"291\", \"bbox\": [197, 367, 210, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 367, 266, 376]}, {\"cell\": \"5.0E-07\", \"bbox\": [317, 367, 342, 376]}, {\"cell\": \"PC3\", \"bbox\": [406, 367, 420, 376]}, {\"cell\": \"ATF3\", \"bbox\": [1, 381, 18, 390]}, {\"cell\": \"23680149\", \"bbox\": [68, 381, 101, 390]}, {\"cell\": \"1995\", \"bbox\": [131, 381, 148, 390]}, {\"cell\": \"193\", \"bbox\": [197, 381, 210, 390]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 381, 266, 390]}, {\"cell\": \"8.8E-13\", \"bbox\": [317, 381, 342, 390]}, {\"cell\": \"GBM1-GSC\", \"bbox\": [406, 381, 442, 390]}, {\"cell\": \"SMAD4\", \"bbox\": [1, 395, 26, 404]}, {\"cell\": \"21799915\", \"bbox\": [68, 395, 101, 404]}, {\"cell\": \"2302\", \"bbox\": [131, 395, 148, 404]}, {\"cell\": \"220\", \"bbox\": [197, 395, 210, 404]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 395, 266, 404]}, {\"cell\": \"4.3E-07\", \"bbox\": [317, 395, 342, 404]}, {\"cell\": \"A2780\", \"bbox\": [406, 395, 428, 404]}, {\"cell\": \"GATA1\", \"bbox\": [1, 409, 24, 418]}, {\"cell\": \"21571218\", \"bbox\": [68, 409, 101, 418]}, {\"cell\": \"2388\", \"bbox\": [131, 409, 148, 418]}, {\"cell\": \"228\", \"bbox\": [197, 409, 210, 418]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 409, 266, 418]}, {\"cell\": \"7.2E-08\", \"bbox\": [317, 409, 342, 418]}, {\"cell\": \"MEGAKARYOCYTES\", \"bbox\": [406, 409, 469, 418]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4506436_009_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Healthy controlsMild asthmaticsSevere asthmatics
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]30.3 ± 15.234.2 ± 13.150.2 ± 15.0
[EMPTY_CELL]1 M/4 F3 M/2 F4 M/1 F
[EMPTY_CELL]105.8 ± 6.4295.6 ± 13.456.8 ± 23.2
[EMPTY_CELL]255
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]890 ± 690/200
[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]28.8 ± 11.021.8 ± 1.549.8 ± 16.0
[EMPTY_CELL]4 M/1 F2 M/3 F2 M/3 F
[EMPTY_CELL]135.0 ± 68.84.2 ± 3.9ND
[EMPTY_CELL]96.0 ± 13.795.0 ± 5.154.0 ± 17.0
[EMPTY_CELL]054 yes/1 no
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]1050 ± 255/100
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Healthy controls\", \"bbox\": [204, 4, 262, 13]}, {\"cell\": \"Mild asthmatics\", \"bbox\": [313, 4, 370, 13]}, {\"cell\": \"Severe asthmatics\", \"bbox\": [420, 4, 484, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 146, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 31, 38, 41]}, {\"cell\": \"30.3 ± 15.2\", \"bbox\": [204, 31, 241, 41]}, {\"cell\": \"34.2 ± 13.1\", \"bbox\": [313, 31, 350, 41]}, {\"cell\": \"50.2 ± 15.0\", \"bbox\": [420, 31, 457, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 45, 13, 55]}, {\"cell\": \"1 M/4 F\", \"bbox\": [204, 45, 231, 55]}, {\"cell\": \"3 M/2 F\", \"bbox\": [313, 45, 340, 55]}, {\"cell\": \"4 M/1 F\", \"bbox\": [420, 45, 447, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 59, 30, 69]}, {\"cell\": \"105.8 ± 6.42\", \"bbox\": [204, 59, 245, 69]}, {\"cell\": \"95.6 ± 13.4\", \"bbox\": [313, 59, 350, 69]}, {\"cell\": \"56.8 ± 23.2\", \"bbox\": [420, 59, 457, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 73, 22, 83]}, {\"cell\": \"2\", \"bbox\": [204, 73, 209, 83]}, {\"cell\": \"5\", \"bbox\": [313, 73, 319, 83]}, {\"cell\": \"5\", \"bbox\": [420, 73, 426, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 87, 67, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"890 ± 690/200\", \"bbox\": [420, 87, 467, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 101, 153, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 115, 112, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 129, 38, 139]}, {\"cell\": \"28.8 ± 11.0\", \"bbox\": [204, 129, 241, 139]}, {\"cell\": \"21.8 ± 1.5\", \"bbox\": [313, 129, 346, 139]}, {\"cell\": \"49.8 ± 16.0\", \"bbox\": [420, 129, 457, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 143, 13, 153]}, {\"cell\": \"4 M/1 F\", \"bbox\": [204, 143, 231, 153]}, {\"cell\": \"2 M/3 F\", \"bbox\": [313, 143, 340, 153]}, {\"cell\": \"2 M/3 F\", \"bbox\": [420, 143, 447, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 157, 45, 167]}, {\"cell\": \"135.0 ± 68.8\", \"bbox\": [204, 157, 245, 167]}, {\"cell\": \"4.2 ± 3.9\", \"bbox\": [313, 157, 343, 167]}, {\"cell\": \"ND\", \"bbox\": [420, 157, 432, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 171, 30, 181]}, {\"cell\": \"96.0 ± 13.7\", \"bbox\": [204, 171, 241, 181]}, {\"cell\": \"95.0 ± 5.1\", \"bbox\": [313, 171, 346, 181]}, {\"cell\": \"54.0 ± 17.0\", \"bbox\": [420, 171, 457, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 185, 22, 195]}, {\"cell\": \"0\", \"bbox\": [204, 185, 209, 195]}, {\"cell\": \"5\", \"bbox\": [313, 185, 319, 195]}, {\"cell\": \"4 yes/1 no\", \"bbox\": [420, 185, 456, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 199, 67, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1050 ± 255/100\", \"bbox\": [420, 199, 471, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 213, 153, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4176096_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Natural cycle group(n = 102)MPA group(n = 102)P value
[EMPTY_CELL]1.18 (1.08, 1.27)1.37 (1.24, 1.50)0.012
[EMPTY_CELL]1.03 (0.96, 1.09)1.16 (1.07, 1.25)0.025
[EMPTY_CELL]0.76 (0.65,0.86)1.09 (0.93,1.18)<0.001
[EMPTY_CELL]0.05 (0, 0.1)0.02 (−0.01,0.05)0.307
[EMPTY_CELL]0.64 (0.53,0.74)0.94 (0.81,1.07)<0.001
[EMPTY_CELL]0.06 (0,0.08)0.09 (0.03, 0.15)0.155
[EMPTY_CELL]0.48 (0.38, 0.58)0.76 (0.63,0.88)0.001
[EMPTY_CELL]0.89 (0.79, 0.98)1.10 (1.10, 1.20)0.003
[EMPTY_CELL]5.88% (6/102)11.77% (12/102)0.139
[EMPTY_CELL]15.38% (6/39)21.43% (12 /56)0.460
[EMPTY_CELL]33.33% (2/6)8.33% (1/12)0.245
[EMPTY_CELL]0 (0/6)8.33% (1/12)0.667
[EMPTY_CELL]3.92% (4/102)8.33% (10/102)0.097
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Natural cycle group(n = 102)\", \"bbox\": [197, 4, 262, 22]}, {\"cell\": \"MPA group(n = 102)\", \"bbox\": [334, 4, 372, 22]}, {\"cell\": \"P value\", \"bbox\": [459, 4, 484, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 26, 125, 36]}, {\"cell\": \"1.18 (1.08, 1.27)\", \"bbox\": [197, 26, 247, 36]}, {\"cell\": \"1.37 (1.24, 1.50)\", \"bbox\": [334, 26, 385, 36]}, {\"cell\": \"0.012\", \"bbox\": [459, 26, 478, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 40, 125, 50]}, {\"cell\": \"1.03 (0.96, 1.09)\", \"bbox\": [197, 40, 247, 50]}, {\"cell\": \"1.16 (1.07, 1.25)\", \"bbox\": [334, 40, 385, 50]}, {\"cell\": \"0.025\", \"bbox\": [459, 40, 478, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 54, 78, 64]}, {\"cell\": \"0.76 (0.65,0.86)\", \"bbox\": [197, 54, 245, 64]}, {\"cell\": \"1.09 (0.93,1.18)\", \"bbox\": [334, 54, 382, 64]}, {\"cell\": \"<0.001\", \"bbox\": [459, 54, 483, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 68, 89, 78]}, {\"cell\": \"0.05 (0, 0.1)\", \"bbox\": [197, 68, 235, 78]}, {\"cell\": \"0.02 (−0.01,0.05)\", \"bbox\": [334, 68, 387, 78]}, {\"cell\": \"0.307\", \"bbox\": [459, 68, 478, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 82, 67, 92]}, {\"cell\": \"0.64 (0.53,0.74)\", \"bbox\": [197, 82, 245, 92]}, {\"cell\": \"0.94 (0.81,1.07)\", \"bbox\": [334, 82, 382, 92]}, {\"cell\": \"<0.001\", \"bbox\": [459, 82, 483, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 96, 88, 106]}, {\"cell\": \"0.06 (0,0.08)\", \"bbox\": [197, 96, 236, 106]}, {\"cell\": \"0.09 (0.03, 0.15)\", \"bbox\": [334, 96, 385, 106]}, {\"cell\": \"0.155\", \"bbox\": [459, 96, 478, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 110, 77, 120]}, {\"cell\": \"0.48 (0.38, 0.58)\", \"bbox\": [197, 110, 247, 120]}, {\"cell\": \"0.76 (0.63,0.88)\", \"bbox\": [334, 110, 382, 120]}, {\"cell\": \"0.001\", \"bbox\": [459, 110, 478, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 124, 72, 134]}, {\"cell\": \"0.89 (0.79, 0.98)\", \"bbox\": [197, 124, 247, 134]}, {\"cell\": \"1.10 (1.10, 1.20)\", \"bbox\": [334, 124, 385, 134]}, {\"cell\": \"0.003\", \"bbox\": [459, 124, 478, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 138, 111, 148]}, {\"cell\": \"5.88% (6/102)\", \"bbox\": [197, 138, 242, 148]}, {\"cell\": \"11.77% (12/102)\", \"bbox\": [334, 138, 387, 148]}, {\"cell\": \"0.139\", \"bbox\": [459, 138, 478, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 152, 70, 162]}, {\"cell\": \"15.38% (6/39)\", \"bbox\": [197, 152, 242, 162]}, {\"cell\": \"21.43% (12 /56)\", \"bbox\": [334, 152, 385, 162]}, {\"cell\": \"0.460\", \"bbox\": [459, 152, 478, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 166, 65, 176]}, {\"cell\": \"33.33% (2/6)\", \"bbox\": [197, 166, 238, 176]}, {\"cell\": \"8.33% (1/12)\", \"bbox\": [334, 166, 375, 176]}, {\"cell\": \"0.245\", \"bbox\": [459, 166, 478, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 180, 74, 190]}, {\"cell\": \"0 (0/6)\", \"bbox\": [197, 180, 220, 190]}, {\"cell\": \"8.33% (1/12)\", \"bbox\": [334, 180, 375, 190]}, {\"cell\": \"0.667\", \"bbox\": [459, 180, 478, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 194, 97, 204]}, {\"cell\": \"3.92% (4/102)\", \"bbox\": [197, 194, 242, 204]}, {\"cell\": \"8.33% (10/102)\", \"bbox\": [334, 194, 383, 204]}, {\"cell\": \"0.097\", \"bbox\": [459, 194, 478, 204]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5583982_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
DescriptorNon-DM†(n = 10491)DM without medication‡(n = 8130)DM without metformin§(n = 4327)DM with metformin¶(n = 11390)P-value
Age, n (%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]<0.001
20-49 yr2685 (25.6)2230 (27.4)[EMPTY_CELL]2977 (26.1)[EMPTY_CELL]
50-59 yr3483 (33.2)2202 (27.1)[EMPTY_CELL]3638 (31.9)[EMPTY_CELL]
60-69 yr2406 (22.9)1639 (20.2)[EMPTY_CELL]2530 (22.2)[EMPTY_CELL]
≥70 yr1917 (18.3)2059 (25.3)[EMPTY_CELL]2245 (19.7)[EMPTY_CELL]
Female gender, n (%)4822 (46.0)4177 (51.4)[EMPTY_CELL]5134 (45.1)<0.001
Geographical area, n (%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]<0.001
North4938 (47.1)4145 (51.0)[EMPTY_CELL]5031 (44.2)[EMPTY_CELL]
Central2472 (23.6)1739 (21.4)[EMPTY_CELL]2638 (23.2)[EMPTY_CELL]
South2761 (26.3)2032 (25.0)[EMPTY_CELL]3285 (28.8)[EMPTY_CELL]
East250 (2.38)150 (1.85)[EMPTY_CELL]357 (3.13)[EMPTY_CELL]
Off-shore70 (0.67)64 (0.79)[EMPTY_CELL]79 (0.69)[EMPTY_CELL]
Charlson comorbidity index score[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]<0.001
Mean ± SD0.25 ± 1.285.29 ± 3.68[EMPTY_CELL]4.38 ± 3.54[EMPTY_CELL]
Median ± IQR0.00 ± 0.005.00 ± 6.00[EMPTY_CELL]4.00 ± 6.00[EMPTY_CELL]
Min-Max0-150-17[EMPTY_CELL]0-20[EMPTY_CELL]
Follow-up time (yr)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Mean ± SD3.94 ± 2.093.94 ± 2.14[EMPTY_CELL]3.90 ± 2.08[EMPTY_CELL]
Median ± IQR3.80 ± 3.493.80 ± 3.65[EMPTY_CELL]3.76 ± 3.44[EMPTY_CELL]
Min-Max0.50-7.990.50-7.99[EMPTY_CELL]0.50-7.99[EMPTY_CELL]
Withdrawal from NHI, n (%)451 (4.30)157 (1.93)[EMPTY_CELL]240 (2.11)[EMPTY_CELL]
Mean daily metformin dose, n (%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
≤500 mg[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]3460 (30.4)[EMPTY_CELL]
500-1000 mg[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]4012 (35.2)[EMPTY_CELL]
≥1000 mg[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]3918 (34.4)[EMPTY_CELL]
Metformin use duration (day)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Mean ± SD[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]931 ± 765[EMPTY_CELL]
Median ± IQR[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]755 ± 1200[EMPTY_CELL]
Min-Max[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]1-2911[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Descriptor\", \"bbox\": [1, 4, 38, 13]}, {\"cell\": \"Non-DM†(n = 10491)\", \"bbox\": [125, 3, 167, 22]}, {\"cell\": \"DM without medication‡(n = 8130)\", \"bbox\": [177, 3, 265, 22]}, {\"cell\": \"DM without metformin§(n = 4327)\", \"bbox\": [274, 2, 360, 22]}, {\"cell\": \"DM with metformin¶(n = 11390)\", \"bbox\": [370, 4, 445, 22]}, {\"cell\": \"P-value\", \"bbox\": [454, 4, 482, 13]}, {\"cell\": \"Age, n (%)\", \"bbox\": [1, 26, 36, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.001\", \"bbox\": [456, 26, 480, 36]}, {\"cell\": \" 20-49 yr\", \"bbox\": [16, 38, 44, 48]}, {\"cell\": \"2685 (25.6)\", \"bbox\": [128, 38, 165, 48]}, {\"cell\": \"2230 (27.4)\", \"bbox\": [202, 38, 239, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [299, 38, 336, 48]}, {\"cell\": \"2977 (26.1)\", \"bbox\": [389, 38, 426, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 50-59 yr\", \"bbox\": [16, 50, 44, 60]}, {\"cell\": \"3483 (33.2)\", \"bbox\": [128, 50, 165, 60]}, {\"cell\": \"2202 (27.1)\", \"bbox\": [202, 50, 239, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [299, 50, 336, 60]}, {\"cell\": \"3638 (31.9)\", \"bbox\": [389, 50, 426, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 60-69 yr\", \"bbox\": [16, 62, 44, 72]}, {\"cell\": \"2406 (22.9)\", \"bbox\": [128, 62, 165, 72]}, {\"cell\": \"1639 (20.2)\", \"bbox\": [202, 62, 239, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 62, 334, 72]}, {\"cell\": \"2530 (22.2)\", \"bbox\": [389, 62, 426, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" ≥70 yr\", \"bbox\": [16, 74, 38, 83]}, {\"cell\": \"1917 (18.3)\", \"bbox\": [128, 74, 165, 83]}, {\"cell\": \"2059 (25.3)\", \"bbox\": [202, 74, 239, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [299, 74, 336, 83]}, {\"cell\": \"2245 (19.7)\", \"bbox\": [389, 74, 426, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Female gender, n (%)\", \"bbox\": [1, 98, 72, 107]}, {\"cell\": \"4822 (46.0)\", \"bbox\": [128, 98, 165, 107]}, {\"cell\": \"4177 (51.4)\", \"bbox\": [202, 98, 239, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [299, 98, 336, 107]}, {\"cell\": \"5134 (45.1)\", \"bbox\": [389, 98, 426, 107]}, {\"cell\": \"<0.001\", \"bbox\": [456, 98, 480, 107]}, {\"cell\": \"Geographical area, n (%)\", \"bbox\": [1, 122, 81, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.001\", \"bbox\": [456, 122, 480, 131]}, {\"cell\": \" North\", \"bbox\": [16, 134, 36, 143]}, {\"cell\": \"4938 (47.1)\", \"bbox\": [128, 134, 165, 143]}, {\"cell\": \"4145 (51.0)\", \"bbox\": [202, 134, 239, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [299, 134, 336, 143]}, {\"cell\": \"5031 (44.2)\", \"bbox\": [389, 134, 425, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Central\", \"bbox\": [15, 146, 40, 155]}, {\"cell\": \"2472 (23.6)\", \"bbox\": [128, 146, 165, 155]}, {\"cell\": \"1739 (21.4)\", \"bbox\": [202, 146, 239, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [299, 146, 336, 155]}, {\"cell\": \"2638 (23.2)\", \"bbox\": [389, 146, 425, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" South\", \"bbox\": [15, 158, 36, 167]}, {\"cell\": \"2761 (26.3)\", \"bbox\": [128, 158, 165, 167]}, {\"cell\": \"2032 (25.0)\", \"bbox\": [202, 158, 239, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [299, 158, 336, 167]}, {\"cell\": \"3285 (28.8)\", \"bbox\": [389, 158, 425, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" East\", \"bbox\": [15, 170, 30, 179]}, {\"cell\": \"250 (2.38)\", \"bbox\": [130, 170, 163, 179]}, {\"cell\": \"150 (1.85)\", \"bbox\": [204, 170, 237, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 170, 334, 179]}, {\"cell\": \"357 (3.13)\", \"bbox\": [391, 170, 424, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Off-shore\", \"bbox\": [15, 182, 47, 191]}, {\"cell\": \"70 (0.67)\", \"bbox\": [132, 182, 161, 191]}, {\"cell\": \"64 (0.79)\", \"bbox\": [206, 182, 235, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [303, 182, 332, 191]}, {\"cell\": \"79 (0.69)\", \"bbox\": [392, 182, 422, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Charlson comorbidity index score\", \"bbox\": [1, 205, 111, 215]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.001\", \"bbox\": [456, 205, 480, 215]}, {\"cell\": \" Mean ± SD\", \"bbox\": [15, 217, 54, 227]}, {\"cell\": \"0.25 ± 1.28\", \"bbox\": [127, 217, 165, 227]}, {\"cell\": \"5.29 ± 3.68\", \"bbox\": [202, 217, 240, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [298, 217, 336, 227]}, {\"cell\": \"4.38 ± 3.54\", \"bbox\": [388, 217, 426, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Median ± IQR\", \"bbox\": [15, 229, 62, 239]}, {\"cell\": \"0.00 ± 0.00\", \"bbox\": [127, 229, 165, 239]}, {\"cell\": \"5.00 ± 6.00\", \"bbox\": [202, 229, 240, 239]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [298, 229, 336, 239]}, {\"cell\": \"4.00 ± 6.00\", \"bbox\": [388, 229, 426, 239]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Min-Max\", \"bbox\": [15, 241, 45, 251]}, {\"cell\": \"0-15\", \"bbox\": [138, 241, 154, 251]}, {\"cell\": \"0-17\", \"bbox\": [213, 241, 229, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [309, 241, 325, 251]}, {\"cell\": \"0-20\", \"bbox\": [399, 241, 415, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Follow-up time (yr)\", \"bbox\": [1, 265, 64, 275]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Mean ± SD\", \"bbox\": [15, 277, 54, 287]}, {\"cell\": \"3.94 ± 2.09\", \"bbox\": [127, 277, 165, 287]}, {\"cell\": \"3.94 ± 2.14\", \"bbox\": [202, 277, 240, 287]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [298, 277, 336, 287]}, {\"cell\": \"3.90 ± 2.08\", \"bbox\": [388, 277, 426, 287]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Median ± IQR\", \"bbox\": [15, 289, 62, 299]}, {\"cell\": \"3.80 ± 3.49\", \"bbox\": [127, 289, 165, 299]}, {\"cell\": \"3.80 ± 3.65\", \"bbox\": [202, 289, 240, 299]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [298, 289, 336, 299]}, {\"cell\": \"3.76 ± 3.44\", \"bbox\": [388, 289, 426, 299]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Min-Max\", \"bbox\": [15, 301, 45, 311]}, {\"cell\": \"0.50-7.99\", \"bbox\": [131, 301, 161, 311]}, {\"cell\": \"0.50-7.99\", \"bbox\": [206, 301, 236, 311]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [302, 301, 332, 311]}, {\"cell\": \"0.50-7.99\", \"bbox\": [392, 301, 422, 311]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Withdrawal from NHI, n (%)\", \"bbox\": [1, 325, 91, 335]}, {\"cell\": \"451 (4.30)\", \"bbox\": [130, 325, 163, 335]}, {\"cell\": \"157 (1.93)\", \"bbox\": [204, 325, 237, 335]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [303, 325, 332, 335]}, {\"cell\": \"240 (2.11)\", \"bbox\": [391, 325, 424, 335]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Mean daily metformin dose, n (%)\", \"bbox\": [1, 349, 113, 358]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" ≤500 mg\", \"bbox\": [15, 361, 47, 370]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3460 (30.4)\", \"bbox\": [389, 361, 425, 370]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 500-1000 mg\", \"bbox\": [15, 373, 60, 382]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"4012 (35.2)\", \"bbox\": [389, 373, 425, 382]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" ≥1000 mg\", \"bbox\": [15, 385, 51, 394]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3918 (34.4)\", \"bbox\": [389, 385, 425, 394]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Metformin use duration (day)\", \"bbox\": [0, 409, 97, 418]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Mean ± SD\", \"bbox\": [15, 421, 54, 430]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"931 ± 765\", \"bbox\": [390, 421, 425, 430]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Median ± IQR\", \"bbox\": [15, 433, 62, 442]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"755 ± 1200\", \"bbox\": [388, 433, 426, 442]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Min-Max\", \"bbox\": [15, 445, 45, 454]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1-2911\", \"bbox\": [395, 445, 419, 454]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3031263_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
ComparisonHomozygote model (CC vs. GG)Heterozygote model (CG vs. GG)Dominant model (CC+CG vs. GG)Recessive model (CC vs. CG+GG)
[EMPTY_CELL]OR (95% CI)PPhOR (95% CI)PPhOR (95% CI)PPhOR (95% CI)PPh
Overall1.03 (0.63,1.67)0.920.54[EMPTY_CELL]0.640.650.97 (0.68,1.40)0.880.661.04 (0.76,1.44)0.790.75
Cancer type[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
NSCLC1.11 (0.67,1.85)0.690.63[EMPTY_CELL]0.660.441.01 (0.68,1.52)0.940.541.12 (0.79,1.60)0.520.83
Others0.37 (0.06,2.37)0.29NA[EMPTY_CELL]0.86NA0.81 (0.36,1.85)0.62NA0.76 (0.37,1.58)0.470.41
Country[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
China1.17 (0.69,2.00)0.550.63[EMPTY_CELL]0.980.381.08 (0.65,1.78)0.760.441.10 (0.79,1.52)0.590.82
Others0.44 (0.12,1.59)0.210.79[EMPTY_CELL]0.470.460.86 (0.51,1.46)0.590.480.50 (0.15,1.74)0.280.67
Response Criteria[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
RECIST0.53 (0.09,3.21)0.49NA[EMPTY_CELL]0.30NA0.90 (0.45,1.79)0.770.230.66 (0.12,3.77)0.64NA
Others1.07 (0.65,1.78)0.780.45[EMPTY_CELL]0.910.681.00 (0.65,1.53)10.631.06 (0.77,1.46)0.730.65
\", \"cells\": [{\"cell\": \"Comparison\", \"bbox\": [5, 5, 39, 13]}, {\"cell\": \"Homozygote model (CC vs. GG)\", \"bbox\": [60, 5, 145, 13]}, {\"cell\": \"Heterozygote model (CG vs. GG)\", \"bbox\": [155, 5, 242, 13]}, {\"cell\": \"Dominant model (CC+CG vs. GG)\", \"bbox\": [262, 5, 353, 13]}, {\"cell\": \"Recessive model (CC vs. CG+GG)\", \"bbox\": [389, 5, 478, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"OR (95% CI)\", \"bbox\": [61, 19, 98, 26]}, {\"cell\": \"P\", \"bbox\": [115, 19, 121, 25]}, {\"cell\": \"Ph\", \"bbox\": [137, 19, 144, 28]}, {\"cell\": \"OR (95% CI)\", \"bbox\": [158, 19, 195, 26]}, {\"cell\": \"P\", \"bbox\": [209, 19, 215, 25]}, {\"cell\": \"Ph\", \"bbox\": [230, 19, 238, 28]}, {\"cell\": \"OR (95% CI)\", \"bbox\": [257, 19, 294, 26]}, {\"cell\": \"P\", \"bbox\": [317, 19, 323, 25]}, {\"cell\": \"Ph\", \"bbox\": [348, 19, 356, 28]}, {\"cell\": \"OR (95% CI)\", \"bbox\": [390, 19, 426, 26]}, {\"cell\": \"P\", \"bbox\": [455, 19, 461, 25]}, {\"cell\": \"Ph\", \"bbox\": [480, 19, 488, 28]}, {\"cell\": \"Overall\", \"bbox\": [5, 33, 25, 40]}, {\"cell\": \"1.03 (0.63,1.67)\", \"bbox\": [60, 33, 100, 40]}, {\"cell\": \"0.92\", \"bbox\": [112, 33, 124, 40]}, {\"cell\": \"0.54\", \"bbox\": [134, 33, 147, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [156, 33, 197, 40]}, {\"cell\": \"0.64\", \"bbox\": [205, 33, 218, 40]}, {\"cell\": \"0.65\", \"bbox\": [228, 33, 240, 40]}, {\"cell\": \"0.97 (0.68,1.40)\", \"bbox\": [255, 33, 296, 40]}, {\"cell\": \"0.88\", \"bbox\": [314, 33, 326, 40]}, {\"cell\": \"0.66\", \"bbox\": [346, 33, 358, 40]}, {\"cell\": \"1.04 (0.76,1.44)\", \"bbox\": [388, 33, 428, 40]}, {\"cell\": \"0.79\", \"bbox\": [452, 33, 464, 40]}, {\"cell\": \"0.75\", \"bbox\": [478, 33, 490, 40]}, {\"cell\": \"Cancer type\", \"bbox\": [5, 46, 36, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"NSCLC\", \"bbox\": [5, 60, 26, 67]}, {\"cell\": \"1.11 (0.67,1.85)\", \"bbox\": [60, 60, 100, 67]}, {\"cell\": \"0.69\", \"bbox\": [112, 60, 124, 67]}, {\"cell\": \"0.63\", \"bbox\": [134, 60, 147, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [156, 60, 197, 67]}, {\"cell\": \"0.66\", \"bbox\": [205, 60, 218, 67]}, {\"cell\": \"0.44\", \"bbox\": [228, 60, 240, 67]}, {\"cell\": \"1.01 (0.68,1.52)\", \"bbox\": [255, 60, 296, 67]}, {\"cell\": \"0.94\", \"bbox\": [314, 60, 326, 67]}, {\"cell\": \"0.54\", \"bbox\": [346, 60, 358, 67]}, {\"cell\": \"1.12 (0.79,1.60)\", \"bbox\": [388, 60, 428, 67]}, {\"cell\": \"0.52\", \"bbox\": [452, 60, 464, 67]}, {\"cell\": \"0.83\", \"bbox\": [478, 60, 490, 67]}, {\"cell\": \"Others\", \"bbox\": [5, 73, 23, 81]}, {\"cell\": \"0.37 (0.06,2.37)\", \"bbox\": [60, 73, 100, 81]}, {\"cell\": \"0.29\", \"bbox\": [112, 73, 124, 81]}, {\"cell\": \"NA\", \"bbox\": [135, 73, 146, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [156, 73, 197, 81]}, {\"cell\": \"0.86\", \"bbox\": [205, 73, 218, 81]}, {\"cell\": \"NA\", \"bbox\": [229, 73, 239, 81]}, {\"cell\": \"0.81 (0.36,1.85)\", \"bbox\": [255, 73, 296, 81]}, {\"cell\": \"0.62\", \"bbox\": [314, 73, 326, 81]}, {\"cell\": \"NA\", \"bbox\": [347, 73, 358, 81]}, {\"cell\": \"0.76 (0.37,1.58)\", \"bbox\": [388, 73, 428, 81]}, {\"cell\": \"0.47\", \"bbox\": [452, 73, 464, 81]}, {\"cell\": \"0.41\", \"bbox\": [478, 73, 490, 81]}, {\"cell\": \"Country\", \"bbox\": [5, 87, 27, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"China\", \"bbox\": [5, 100, 21, 108]}, {\"cell\": \"1.17 (0.69,2.00)\", \"bbox\": [60, 100, 100, 108]}, {\"cell\": \"0.55\", \"bbox\": [112, 100, 124, 108]}, {\"cell\": \"0.63\", \"bbox\": [134, 100, 147, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [156, 100, 197, 108]}, {\"cell\": \"0.98\", \"bbox\": [205, 100, 218, 108]}, {\"cell\": \"0.38\", \"bbox\": [228, 100, 240, 108]}, {\"cell\": \"1.08 (0.65,1.78)\", \"bbox\": [255, 100, 296, 108]}, {\"cell\": \"0.76\", \"bbox\": [314, 100, 326, 108]}, {\"cell\": \"0.44\", \"bbox\": [346, 100, 358, 108]}, {\"cell\": \"1.10 (0.79,1.52)\", \"bbox\": [388, 100, 428, 108]}, {\"cell\": \"0.59\", \"bbox\": [452, 100, 464, 108]}, {\"cell\": \"0.82\", \"bbox\": [478, 100, 490, 108]}, {\"cell\": \"Others\", \"bbox\": [5, 114, 23, 121]}, {\"cell\": \"0.44 (0.12,1.59)\", \"bbox\": [60, 114, 100, 121]}, {\"cell\": \"0.21\", \"bbox\": [112, 114, 124, 121]}, {\"cell\": \"0.79\", \"bbox\": [134, 114, 147, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [156, 114, 197, 121]}, {\"cell\": \"0.47\", \"bbox\": [205, 114, 218, 121]}, {\"cell\": \"0.46\", \"bbox\": [228, 114, 240, 121]}, {\"cell\": \"0.86 (0.51,1.46)\", \"bbox\": [255, 114, 296, 121]}, {\"cell\": \"0.59\", \"bbox\": [314, 114, 326, 121]}, {\"cell\": \"0.48\", \"bbox\": [346, 114, 358, 121]}, {\"cell\": \"0.50 (0.15,1.74)\", \"bbox\": [388, 114, 428, 121]}, {\"cell\": \"0.28\", \"bbox\": [452, 114, 464, 121]}, {\"cell\": \"0.67\", \"bbox\": [478, 114, 490, 121]}, {\"cell\": \"Response Criteria\", \"bbox\": [5, 127, 50, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"RECIST\", \"bbox\": [5, 141, 28, 148]}, {\"cell\": \"0.53 (0.09,3.21)\", \"bbox\": [60, 141, 100, 148]}, {\"cell\": \"0.49\", \"bbox\": [112, 141, 124, 148]}, {\"cell\": \"NA\", \"bbox\": [135, 141, 146, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [156, 141, 197, 148]}, {\"cell\": \"0.30\", \"bbox\": [205, 141, 218, 148]}, {\"cell\": \"NA\", \"bbox\": [229, 141, 239, 148]}, {\"cell\": \"0.90 (0.45,1.79)\", \"bbox\": [255, 141, 296, 148]}, {\"cell\": \"0.77\", \"bbox\": [314, 141, 326, 148]}, {\"cell\": \"0.23\", \"bbox\": [346, 141, 358, 148]}, {\"cell\": \"0.66 (0.12,3.77)\", \"bbox\": [388, 141, 428, 148]}, {\"cell\": \"0.64\", \"bbox\": [452, 141, 464, 148]}, {\"cell\": \"NA\", \"bbox\": [479, 141, 489, 148]}, {\"cell\": \"Others\", \"bbox\": [5, 154, 23, 162]}, {\"cell\": \"1.07 (0.65,1.78)\", \"bbox\": [60, 154, 100, 162]}, {\"cell\": \"0.78\", \"bbox\": [112, 154, 124, 162]}, {\"cell\": \"0.45\", \"bbox\": [134, 154, 147, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [156, 154, 197, 162]}, {\"cell\": \"0.91\", \"bbox\": [205, 154, 218, 162]}, {\"cell\": \"0.68\", \"bbox\": [228, 154, 240, 162]}, {\"cell\": \"1.00 (0.65,1.53)\", \"bbox\": [255, 154, 296, 162]}, {\"cell\": \"1\", \"bbox\": [318, 154, 323, 162]}, {\"cell\": \"0.63\", \"bbox\": [346, 154, 358, 162]}, {\"cell\": \"1.06 (0.77,1.46)\", \"bbox\": [388, 154, 428, 162]}, {\"cell\": \"0.73\", \"bbox\": [452, 154, 464, 162]}, {\"cell\": \"0.65\", \"bbox\": [478, 154, 490, 162]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5787435_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
RDM[EMPTY_CELL]HoDM[EMPTY_CELL]HTDM[EMPTY_CELL][EMPTY_CELL]
Relative IntensitySDRelative IntensitySDRelative IntensitySDSignificance
0.8480.009[EMPTY_CELL]0.0940.9470.113NS
0.7880.100[EMPTY_CELL]0.1690.8510.054NS
1.910.117[EMPTY_CELL]0.2191.930.052NS
1.920.016[EMPTY_CELL]0.0441.860.134NS
2.980.644[EMPTY_CELL]0.1783.340.190NS
3.66 A0.087[EMPTY_CELL]0.5553.08 AB0.483*
5.01 B0.068[EMPTY_CELL]0.2635.46 C0.226***
2.330.056[EMPTY_CELL]0.1132.530.112*
2.600.097[EMPTY_CELL]0.3472.260.210NS
1.160.161[EMPTY_CELL]0.2451.360.143NS
3.370.036[EMPTY_CELL]0.662.880.122NS
4.930.384[EMPTY_CELL]0.3974.950.051NS
1.91 A0.025[EMPTY_CELL]0.1642.12 A0.286*
3.12 A0.291[EMPTY_CELL]0.2253.62 AB0.359*
3.600.132[EMPTY_CELL]0.1574.080.265*
2.07 A0.681[EMPTY_CELL]0.6152.27 A0.337*
2.49 AB0.631[EMPTY_CELL]0.5812.20 A0.528*
\", \"cells\": [{\"cell\": \"RDM\", \"bbox\": [31, 5, 55, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"HoDM\", \"bbox\": [152, 5, 182, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"HTDM\", \"bbox\": [258, 5, 310, 19]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Relative Intensity\", \"bbox\": [7, 20, 80, 31]}, {\"cell\": \"SD\", \"bbox\": [98, 20, 112, 31]}, {\"cell\": \"Relative Intensity\", \"bbox\": [130, 20, 203, 31]}, {\"cell\": \"SD\", \"bbox\": [222, 20, 236, 31]}, {\"cell\": \"Relative Intensity\", \"bbox\": [254, 20, 327, 31]}, {\"cell\": \"SD\", \"bbox\": [346, 20, 359, 31]}, {\"cell\": \"Significance\", \"bbox\": [379, 20, 428, 31]}, {\"cell\": \"0.848\", \"bbox\": [32, 36, 54, 44]}, {\"cell\": \"0.009\", \"bbox\": [94, 36, 116, 44]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [156, 36, 178, 44]}, {\"cell\": \"0.094\", \"bbox\": [218, 36, 240, 44]}, {\"cell\": \"0.947\", \"bbox\": [280, 36, 302, 44]}, {\"cell\": \"0.113\", \"bbox\": [342, 36, 363, 44]}, {\"cell\": \"NS\", \"bbox\": [397, 36, 411, 44]}, {\"cell\": \"0.788\", \"bbox\": [32, 47, 54, 55]}, {\"cell\": \"0.100\", \"bbox\": [94, 47, 116, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [156, 47, 178, 55]}, {\"cell\": \"0.169\", \"bbox\": [218, 47, 240, 55]}, {\"cell\": \"0.851\", \"bbox\": [280, 47, 302, 55]}, {\"cell\": \"0.054\", \"bbox\": [342, 47, 363, 55]}, {\"cell\": \"NS\", \"bbox\": [397, 47, 411, 55]}, {\"cell\": \"1.91\", \"bbox\": [34, 57, 52, 66]}, {\"cell\": \"0.117\", \"bbox\": [94, 57, 116, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 57, 176, 66]}, {\"cell\": \"0.219\", \"bbox\": [218, 57, 240, 66]}, {\"cell\": \"1.93\", \"bbox\": [282, 57, 299, 66]}, {\"cell\": \"0.052\", \"bbox\": [342, 57, 363, 66]}, {\"cell\": \"NS\", \"bbox\": [397, 57, 411, 66]}, {\"cell\": \"1.92\", \"bbox\": [34, 68, 52, 77]}, {\"cell\": \"0.016\", \"bbox\": [94, 68, 116, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 68, 176, 77]}, {\"cell\": \"0.044\", \"bbox\": [218, 68, 240, 77]}, {\"cell\": \"1.86\", \"bbox\": [282, 68, 299, 77]}, {\"cell\": \"0.134\", \"bbox\": [342, 68, 363, 77]}, {\"cell\": \"NS\", \"bbox\": [397, 68, 411, 77]}, {\"cell\": \"2.98\", \"bbox\": [34, 79, 52, 87]}, {\"cell\": \"0.644\", \"bbox\": [94, 79, 116, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 79, 176, 87]}, {\"cell\": \"0.178\", \"bbox\": [218, 79, 240, 87]}, {\"cell\": \"3.34\", \"bbox\": [282, 79, 299, 87]}, {\"cell\": \"0.190\", \"bbox\": [342, 79, 363, 87]}, {\"cell\": \"NS\", \"bbox\": [397, 79, 411, 87]}, {\"cell\": \"3.66 A\", \"bbox\": [30, 90, 56, 98]}, {\"cell\": \"0.087\", \"bbox\": [94, 90, 116, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 90, 179, 98]}, {\"cell\": \"0.555\", \"bbox\": [218, 90, 240, 98]}, {\"cell\": \"3.08 AB\", \"bbox\": [275, 90, 307, 98]}, {\"cell\": \"0.483\", \"bbox\": [342, 90, 363, 98]}, {\"cell\": \"*\", \"bbox\": [401, 90, 407, 98]}, {\"cell\": \"5.01 B\", \"bbox\": [31, 101, 56, 109]}, {\"cell\": \"0.068\", \"bbox\": [94, 101, 116, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 101, 180, 109]}, {\"cell\": \"0.263\", \"bbox\": [218, 101, 240, 109]}, {\"cell\": \"5.46 C\", \"bbox\": [278, 101, 304, 109]}, {\"cell\": \"0.226\", \"bbox\": [342, 101, 363, 109]}, {\"cell\": \"***\", \"bbox\": [398, 101, 410, 109]}, {\"cell\": \"2.33\", \"bbox\": [34, 111, 52, 120]}, {\"cell\": \"0.056\", \"bbox\": [94, 111, 116, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 111, 176, 120]}, {\"cell\": \"0.113\", \"bbox\": [218, 111, 240, 120]}, {\"cell\": \"2.53\", \"bbox\": [282, 111, 299, 120]}, {\"cell\": \"0.112\", \"bbox\": [342, 111, 363, 120]}, {\"cell\": \"*\", \"bbox\": [401, 111, 407, 120]}, {\"cell\": \"2.60\", \"bbox\": [34, 122, 52, 131]}, {\"cell\": \"0.097\", \"bbox\": [94, 122, 116, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 122, 176, 131]}, {\"cell\": \"0.347\", \"bbox\": [218, 122, 240, 131]}, {\"cell\": \"2.26\", \"bbox\": [282, 122, 299, 131]}, {\"cell\": \"0.210\", \"bbox\": [342, 122, 363, 131]}, {\"cell\": \"NS\", \"bbox\": [397, 122, 411, 131]}, {\"cell\": \"1.16\", \"bbox\": [34, 133, 52, 141]}, {\"cell\": \"0.161\", \"bbox\": [94, 133, 116, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 133, 176, 141]}, {\"cell\": \"0.245\", \"bbox\": [218, 133, 240, 141]}, {\"cell\": \"1.36\", \"bbox\": [282, 133, 299, 141]}, {\"cell\": \"0.143\", \"bbox\": [342, 133, 363, 141]}, {\"cell\": \"NS\", \"bbox\": [397, 133, 411, 141]}, {\"cell\": \"3.37\", \"bbox\": [34, 144, 52, 152]}, {\"cell\": \"0.036\", \"bbox\": [94, 144, 116, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 144, 176, 152]}, {\"cell\": \"0.66\", \"bbox\": [220, 144, 237, 152]}, {\"cell\": \"2.88\", \"bbox\": [282, 144, 299, 152]}, {\"cell\": \"0.122\", \"bbox\": [342, 144, 363, 152]}, {\"cell\": \"NS\", \"bbox\": [397, 144, 411, 152]}, {\"cell\": \"4.93\", \"bbox\": [34, 155, 52, 163]}, {\"cell\": \"0.384\", \"bbox\": [94, 155, 116, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 155, 176, 163]}, {\"cell\": \"0.397\", \"bbox\": [218, 155, 240, 163]}, {\"cell\": \"4.95\", \"bbox\": [282, 155, 299, 163]}, {\"cell\": \"0.051\", \"bbox\": [342, 155, 363, 163]}, {\"cell\": \"NS\", \"bbox\": [397, 155, 411, 163]}, {\"cell\": \"1.91 A\", \"bbox\": [30, 165, 56, 174]}, {\"cell\": \"0.025\", \"bbox\": [94, 165, 116, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 165, 179, 174]}, {\"cell\": \"0.164\", \"bbox\": [218, 165, 240, 174]}, {\"cell\": \"2.12 A\", \"bbox\": [277, 165, 304, 174]}, {\"cell\": \"0.286\", \"bbox\": [342, 165, 363, 174]}, {\"cell\": \"*\", \"bbox\": [401, 165, 407, 174]}, {\"cell\": \"3.12 A\", \"bbox\": [30, 176, 56, 185]}, {\"cell\": \"0.291\", \"bbox\": [94, 176, 116, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 176, 179, 185]}, {\"cell\": \"0.225\", \"bbox\": [218, 176, 240, 185]}, {\"cell\": \"3.62 AB\", \"bbox\": [275, 176, 307, 185]}, {\"cell\": \"0.359\", \"bbox\": [342, 176, 363, 185]}, {\"cell\": \"*\", \"bbox\": [401, 176, 407, 185]}, {\"cell\": \"3.60\", \"bbox\": [34, 187, 52, 195]}, {\"cell\": \"0.132\", \"bbox\": [94, 187, 116, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 187, 176, 195]}, {\"cell\": \"0.157\", \"bbox\": [218, 187, 240, 195]}, {\"cell\": \"4.08\", \"bbox\": [282, 187, 299, 195]}, {\"cell\": \"0.265\", \"bbox\": [342, 187, 363, 195]}, {\"cell\": \"*\", \"bbox\": [401, 187, 407, 195]}, {\"cell\": \"2.07 A\", \"bbox\": [30, 198, 56, 206]}, {\"cell\": \"0.681\", \"bbox\": [94, 198, 116, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 198, 179, 206]}, {\"cell\": \"0.615\", \"bbox\": [218, 198, 240, 206]}, {\"cell\": \"2.27 A\", \"bbox\": [277, 198, 304, 206]}, {\"cell\": \"0.337\", \"bbox\": [342, 198, 363, 206]}, {\"cell\": \"*\", \"bbox\": [401, 198, 407, 206]}, {\"cell\": \"2.49 AB\", \"bbox\": [27, 209, 59, 217]}, {\"cell\": \"0.631\", \"bbox\": [94, 209, 116, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 209, 179, 217]}, {\"cell\": \"0.581\", \"bbox\": [218, 209, 240, 217]}, {\"cell\": \"2.20 A\", \"bbox\": [277, 209, 304, 217]}, {\"cell\": \"0.528\", \"bbox\": [342, 209, 363, 217]}, {\"cell\": \"*\", \"bbox\": [401, 209, 407, 217]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5753630_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
NameTreatmentStorage days
[EMPTY_CELL][EMPTY_CELL]024681012
[EMPTY_CELL]Control1.00 ± 0.051.19 ± 0.040.54 ± 0.0240.81 ± 0.0650.48 ± 0.0320.37 ± 0.0210.42 ± 0.021*
[EMPTY_CELL]Hexaldehyde1.00 ± 0.041.20 ± 0.0320.59 ± 0.0240.83 ± 0.0250.46 ± 0.0110.36 ± 0.0210.57 ± 0.018
[EMPTY_CELL]Control1.00 ± 0.370.91 ± 0.19*0.77 ± 0.15*0.79 ± 0.13*1.32 ± 0.19*2.00 ± 0.088*1.98 ± 0.25*
[EMPTY_CELL]Hexaldehyde1.00 ± 0.0732.02 ± 0.322.59 ± 0.182.49 ± 0.153.19 ± 0.153.28 ± 0.1511.29 ± 0.27
[EMPTY_CELL]Control1.00 ± 0.051.12 ± 0.151.18 ± 0.0990.94 ± 0.0331.17 ± 0.0180.58 ± 0.0580.54 ± 0.21
[EMPTY_CELL]Hexaldehyde1.00 ± 0.041.20 ± 0.061.09 ± 0.0351.03 ± 0.0781.11 ± 0.0950.62 ± 0.0270.57 ± 0.035
[EMPTY_CELL]Control1.00 ± 0.0390.63 ± 0.0840.60 ± 0.021*0.16 ± 0.0380.17 ± 0.0480.34 ± 0.0150.35 ± 0.036
[EMPTY_CELL]Hexaldehyde1.00 ± 0.060.22 ± 0.028*0.73 ± 0.0490.14 ± 0.0210.18 ± 0.0120.10 ± 0.046*0.26 ± 0.013*
[EMPTY_CELL]Control1.00 ± 0.0210.92 ± 0.0421.15 ± 0.011.13 ± 0.0081.12 ± 0.0070.74 ± 0.051*0.72 ± 0.042
[EMPTY_CELL]Hexaldehyde1.00 ± 0.0340.88 ± 0.0351.16 ± 0.0081.03 ± 0.041*1.06 ± 0.011.01 ± 0.0060.78 ± 0.042
[EMPTY_CELL]Control1.00 ± 0.151.80 ± 0.19*3.89 ± 0.194.39 ± 0.28*3.67 ± 0.154.55 ± 0.264.32 ± 0.44
[EMPTY_CELL]Hexaldehyde1.00 ± 0.142.11 ± 0.162.63 ± 0.55*5.78 ± 0.253.53 ± 0.161.64 ± 0.63*2.89 ± 0.17*
[EMPTY_CELL]Control1.00 ± 0.0881.79 ± 0.12*4.59 ± 0.344.28 ± 0.282.37 ± 0.151.97 ± 0.123.05 ± 0.27
[EMPTY_CELL]Hexaldehyde1.00 ± 0.0792.23 ± 0.181.86 ± 0.15*3.19 ± 0.17*2.49 ± 0.142.03 ± 0.132.42 ± 0.24*
[EMPTY_CELL]Control1.00 ± 0.0451.98 ± 0.0863.87 ± 0.153.90 ± 0.163.12 ± 0.151.74 ± 0.15*2.48 ± 0.16
[EMPTY_CELL]Hexaldehyde1.00 ± 0.0571.34 ± 0.086*1.66 ± 0.15*3.42 ± 0.20*3.01 ± 0.193.48 ± 0.192.52 ± 0.096
[EMPTY_CELL]Control1.00 ± 0.191.25 ± 0.0492.05 ± 0.142.36 ± 0.0381.89 ± 0.181.04 ± 0.161.60 ± 0.12
[EMPTY_CELL]Hexaldehyde1.00 ± 0.0540.49 ± 0.024*0.51 ± 0.042*0.67 ± 0.051*0.80 ± 0.067*0.55 ± 0.042*0.53 ± 0.025*
[EMPTY_CELL]Control1.00 ± 0.0311.49 ± 0.0612.07 ± 0.144.21 ± 0.151.33 ± 0.069*1.88 ± 0.142.15 ± 0.12
[EMPTY_CELL]Hexaldehyde1.00 ± 0.181.19 ± 0.14*0.87 ± 0.038*2.38 ± 0.087*1.83 ± 0.0411.65 ± 0.0791.94 ± 0.057
\", \"cells\": [{\"cell\": \"Name\", \"bbox\": [1, 6, 22, 15]}, {\"cell\": \"Treatment\", \"bbox\": [28, 6, 64, 15]}, {\"cell\": \"Storage days\", \"bbox\": [264, 6, 310, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0\", \"bbox\": [97, 26, 103, 34]}, {\"cell\": \"2\", \"bbox\": [157, 26, 163, 34]}, {\"cell\": \"4\", \"bbox\": [221, 26, 227, 34]}, {\"cell\": \"6\", \"bbox\": [284, 26, 290, 34]}, {\"cell\": \"8\", \"bbox\": [347, 26, 353, 34]}, {\"cell\": \"10\", \"bbox\": [409, 26, 418, 34]}, {\"cell\": \"12\", \"bbox\": [469, 26, 479, 34]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 43, 19, 52]}, {\"cell\": \"Control\", \"bbox\": [28, 43, 52, 51]}, {\"cell\": \"1.00 ± 0.05\", \"bbox\": [84, 43, 122, 51]}, {\"cell\": \"1.19 ± 0.04\", \"bbox\": [144, 43, 182, 51]}, {\"cell\": \"0.54 ± 0.024\", \"bbox\": [207, 43, 250, 51]}, {\"cell\": \"0.81 ± 0.065\", \"bbox\": [270, 43, 313, 51]}, {\"cell\": \"0.48 ± 0.032\", \"bbox\": [334, 43, 376, 51]}, {\"cell\": \"0.37 ± 0.021\", \"bbox\": [397, 43, 439, 51]}, {\"cell\": \"0.42 ± 0.021*\", \"bbox\": [460, 42, 506, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Hexaldehyde\", \"bbox\": [28, 54, 69, 63]}, {\"cell\": \"1.00 ± 0.04\", \"bbox\": [84, 54, 122, 63]}, {\"cell\": \"1.20 ± 0.032\", \"bbox\": [144, 54, 186, 63]}, {\"cell\": \"0.59 ± 0.024\", \"bbox\": [207, 54, 250, 63]}, {\"cell\": \"0.83 ± 0.025\", \"bbox\": [270, 54, 313, 63]}, {\"cell\": \"0.46 ± 0.011\", \"bbox\": [334, 54, 376, 63]}, {\"cell\": \"0.36 ± 0.021\", \"bbox\": [397, 54, 439, 63]}, {\"cell\": \"0.57 ± 0.018\", \"bbox\": [460, 54, 503, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 66, 19, 74]}, {\"cell\": \"Control\", \"bbox\": [28, 66, 52, 74]}, {\"cell\": \"1.00 ± 0.37\", \"bbox\": [84, 66, 122, 74]}, {\"cell\": \"0.91 ± 0.19*\", \"bbox\": [144, 65, 185, 74]}, {\"cell\": \"0.77 ± 0.15*\", \"bbox\": [207, 65, 248, 74]}, {\"cell\": \"0.79 ± 0.13*\", \"bbox\": [270, 65, 312, 74]}, {\"cell\": \"1.32 ± 0.19*\", \"bbox\": [334, 65, 375, 74]}, {\"cell\": \"2.00 ± 0.088*\", \"bbox\": [397, 65, 442, 74]}, {\"cell\": \"1.98 ± 0.25*\", \"bbox\": [460, 65, 502, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Hexaldehyde\", \"bbox\": [28, 77, 69, 85]}, {\"cell\": \"1.00 ± 0.073\", \"bbox\": [84, 77, 126, 85]}, {\"cell\": \"2.02 ± 0.32\", \"bbox\": [144, 77, 182, 85]}, {\"cell\": \"2.59 ± 0.18\", \"bbox\": [207, 77, 246, 85]}, {\"cell\": \"2.49 ± 0.15\", \"bbox\": [270, 77, 309, 85]}, {\"cell\": \"3.19 ± 0.15\", \"bbox\": [334, 77, 372, 85]}, {\"cell\": \"3.28 ± 0.15\", \"bbox\": [397, 77, 436, 85]}, {\"cell\": \"11.29 ± 0.27\", \"bbox\": [456, 77, 499, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 88, 19, 97]}, {\"cell\": \"Control\", \"bbox\": [28, 88, 52, 97]}, {\"cell\": \"1.00 ± 0.05\", \"bbox\": [84, 88, 122, 97]}, {\"cell\": \"1.12 ± 0.15\", \"bbox\": [144, 88, 182, 97]}, {\"cell\": \"1.18 ± 0.099\", \"bbox\": [207, 88, 250, 97]}, {\"cell\": \"0.94 ± 0.033\", \"bbox\": [270, 88, 313, 97]}, {\"cell\": \"1.17 ± 0.018\", \"bbox\": [334, 88, 376, 97]}, {\"cell\": \"0.58 ± 0.058\", \"bbox\": [397, 88, 439, 97]}, {\"cell\": \"0.54 ± 0.21\", \"bbox\": [460, 88, 499, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Hexaldehyde\", \"bbox\": [28, 100, 69, 108]}, {\"cell\": \"1.00 ± 0.04\", \"bbox\": [84, 100, 122, 108]}, {\"cell\": \"1.20 ± 0.06\", \"bbox\": [144, 100, 182, 108]}, {\"cell\": \"1.09 ± 0.035\", \"bbox\": [207, 100, 250, 108]}, {\"cell\": \"1.03 ± 0.078\", \"bbox\": [270, 100, 313, 108]}, {\"cell\": \"1.11 ± 0.095\", \"bbox\": [334, 100, 376, 108]}, {\"cell\": \"0.62 ± 0.027\", \"bbox\": [397, 100, 439, 108]}, {\"cell\": \"0.57 ± 0.035\", \"bbox\": [460, 100, 503, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 111, 19, 120]}, {\"cell\": \"Control\", \"bbox\": [28, 111, 52, 120]}, {\"cell\": \"1.00 ± 0.039\", \"bbox\": [84, 111, 126, 120]}, {\"cell\": \"0.63 ± 0.084\", \"bbox\": [144, 111, 186, 120]}, {\"cell\": \"0.60 ± 0.021*\", \"bbox\": [207, 110, 252, 120]}, {\"cell\": \"0.16 ± 0.038\", \"bbox\": [270, 111, 313, 120]}, {\"cell\": \"0.17 ± 0.048\", \"bbox\": [334, 111, 376, 120]}, {\"cell\": \"0.34 ± 0.015\", \"bbox\": [397, 111, 439, 120]}, {\"cell\": \"0.35 ± 0.036\", \"bbox\": [460, 111, 503, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Hexaldehyde\", \"bbox\": [28, 122, 69, 131]}, {\"cell\": \"1.00 ± 0.06\", \"bbox\": [84, 122, 122, 131]}, {\"cell\": \"0.22 ± 0.028*\", \"bbox\": [144, 121, 189, 131]}, {\"cell\": \"0.73 ± 0.049\", \"bbox\": [207, 122, 250, 131]}, {\"cell\": \"0.14 ± 0.021\", \"bbox\": [270, 122, 313, 131]}, {\"cell\": \"0.18 ± 0.012\", \"bbox\": [334, 122, 376, 131]}, {\"cell\": \"0.10 ± 0.046*\", \"bbox\": [397, 121, 442, 131]}, {\"cell\": \"0.26 ± 0.013*\", \"bbox\": [460, 121, 506, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 134, 19, 142]}, {\"cell\": \"Control\", \"bbox\": [28, 134, 52, 142]}, {\"cell\": \"1.00 ± 0.021\", \"bbox\": [84, 134, 126, 142]}, {\"cell\": \"0.92 ± 0.042\", \"bbox\": [144, 134, 186, 142]}, {\"cell\": \"1.15 ± 0.01\", \"bbox\": [207, 134, 246, 142]}, {\"cell\": \"1.13 ± 0.008\", \"bbox\": [270, 134, 313, 142]}, {\"cell\": \"1.12 ± 0.007\", \"bbox\": [334, 134, 376, 142]}, {\"cell\": \"0.74 ± 0.051*\", \"bbox\": [397, 133, 442, 142]}, {\"cell\": \"0.72 ± 0.042\", \"bbox\": [460, 134, 503, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Hexaldehyde\", \"bbox\": [28, 145, 69, 154]}, {\"cell\": \"1.00 ± 0.034\", \"bbox\": [84, 145, 126, 154]}, {\"cell\": \"0.88 ± 0.035\", \"bbox\": [144, 145, 186, 154]}, {\"cell\": \"1.16 ± 0.008\", \"bbox\": [207, 145, 250, 154]}, {\"cell\": \"1.03 ± 0.041*\", \"bbox\": [270, 144, 316, 154]}, {\"cell\": \"1.06 ± 0.01\", \"bbox\": [334, 145, 372, 154]}, {\"cell\": \"1.01 ± 0.006\", \"bbox\": [397, 145, 439, 154]}, {\"cell\": \"0.78 ± 0.042\", \"bbox\": [460, 145, 503, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 157, 19, 165]}, {\"cell\": \"Control\", \"bbox\": [28, 157, 52, 165]}, {\"cell\": \"1.00 ± 0.15\", \"bbox\": [84, 157, 122, 165]}, {\"cell\": \"1.80 ± 0.19*\", \"bbox\": [144, 156, 185, 165]}, {\"cell\": \"3.89 ± 0.19\", \"bbox\": [207, 157, 246, 165]}, {\"cell\": \"4.39 ± 0.28*\", \"bbox\": [270, 156, 312, 165]}, {\"cell\": \"3.67 ± 0.15\", \"bbox\": [334, 157, 372, 165]}, {\"cell\": \"4.55 ± 0.26\", \"bbox\": [397, 157, 436, 165]}, {\"cell\": \"4.32 ± 0.44\", \"bbox\": [460, 157, 499, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Hexaldehyde\", \"bbox\": [28, 168, 69, 176]}, {\"cell\": \"1.00 ± 0.14\", \"bbox\": [84, 168, 122, 176]}, {\"cell\": \"2.11 ± 0.16\", \"bbox\": [144, 168, 182, 176]}, {\"cell\": \"2.63 ± 0.55*\", \"bbox\": [207, 167, 248, 176]}, {\"cell\": \"5.78 ± 0.25\", \"bbox\": [270, 168, 309, 176]}, {\"cell\": \"3.53 ± 0.16\", \"bbox\": [334, 168, 372, 176]}, {\"cell\": \"1.64 ± 0.63*\", \"bbox\": [397, 167, 438, 176]}, {\"cell\": \"2.89 ± 0.17*\", \"bbox\": [460, 167, 502, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 179, 19, 188]}, {\"cell\": \"Control\", \"bbox\": [28, 179, 52, 188]}, {\"cell\": \"1.00 ± 0.088\", \"bbox\": [84, 179, 126, 188]}, {\"cell\": \"1.79 ± 0.12*\", \"bbox\": [144, 178, 185, 188]}, {\"cell\": \"4.59 ± 0.34\", \"bbox\": [207, 179, 246, 188]}, {\"cell\": \"4.28 ± 0.28\", \"bbox\": [270, 179, 309, 188]}, {\"cell\": \"2.37 ± 0.15\", \"bbox\": [334, 179, 372, 188]}, {\"cell\": \"1.97 ± 0.12\", \"bbox\": [397, 179, 436, 188]}, {\"cell\": \"3.05 ± 0.27\", \"bbox\": [460, 179, 499, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Hexaldehyde\", \"bbox\": [28, 191, 69, 199]}, {\"cell\": \"1.00 ± 0.079\", \"bbox\": [84, 191, 126, 199]}, {\"cell\": \"2.23 ± 0.18\", \"bbox\": [144, 191, 182, 199]}, {\"cell\": \"1.86 ± 0.15*\", \"bbox\": [207, 190, 248, 199]}, {\"cell\": \"3.19 ± 0.17*\", \"bbox\": [270, 190, 312, 199]}, {\"cell\": \"2.49 ± 0.14\", \"bbox\": [334, 191, 372, 199]}, {\"cell\": \"2.03 ± 0.13\", \"bbox\": [397, 191, 436, 199]}, {\"cell\": \"2.42 ± 0.24*\", \"bbox\": [460, 190, 502, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 202, 19, 211]}, {\"cell\": \"Control\", \"bbox\": [28, 202, 52, 210]}, {\"cell\": \"1.00 ± 0.045\", \"bbox\": [84, 202, 126, 210]}, {\"cell\": \"1.98 ± 0.086\", \"bbox\": [144, 202, 186, 210]}, {\"cell\": \"3.87 ± 0.15\", \"bbox\": [207, 202, 246, 210]}, {\"cell\": \"3.90 ± 0.16\", \"bbox\": [270, 202, 309, 210]}, {\"cell\": \"3.12 ± 0.15\", \"bbox\": [334, 202, 372, 210]}, {\"cell\": \"1.74 ± 0.15*\", \"bbox\": [397, 201, 438, 210]}, {\"cell\": \"2.48 ± 0.16\", \"bbox\": [460, 202, 499, 210]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Hexaldehyde\", \"bbox\": [28, 213, 69, 222]}, {\"cell\": \"1.00 ± 0.057\", \"bbox\": [84, 213, 126, 222]}, {\"cell\": \"1.34 ± 0.086*\", \"bbox\": [144, 212, 189, 222]}, {\"cell\": \"1.66 ± 0.15*\", \"bbox\": [207, 212, 248, 222]}, {\"cell\": \"3.42 ± 0.20*\", \"bbox\": [270, 212, 312, 222]}, {\"cell\": \"3.01 ± 0.19\", \"bbox\": [334, 213, 372, 222]}, {\"cell\": \"3.48 ± 0.19\", \"bbox\": [397, 213, 436, 222]}, {\"cell\": \"2.52 ± 0.096\", \"bbox\": [460, 213, 503, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 225, 19, 233]}, {\"cell\": \"Control\", \"bbox\": [28, 225, 52, 233]}, {\"cell\": \"1.00 ± 0.19\", \"bbox\": [84, 225, 122, 233]}, {\"cell\": \"1.25 ± 0.049\", \"bbox\": [144, 225, 186, 233]}, {\"cell\": \"2.05 ± 0.14\", \"bbox\": [207, 225, 246, 233]}, {\"cell\": \"2.36 ± 0.038\", \"bbox\": [270, 225, 313, 233]}, {\"cell\": \"1.89 ± 0.18\", \"bbox\": [334, 225, 372, 233]}, {\"cell\": \"1.04 ± 0.16\", \"bbox\": [397, 225, 436, 233]}, {\"cell\": \"1.60 ± 0.12\", \"bbox\": [460, 225, 499, 233]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Hexaldehyde\", \"bbox\": [28, 236, 69, 244]}, {\"cell\": \"1.00 ± 0.054\", \"bbox\": [84, 236, 126, 244]}, {\"cell\": \"0.49 ± 0.024*\", \"bbox\": [144, 235, 189, 244]}, {\"cell\": \"0.51 ± 0.042*\", \"bbox\": [207, 235, 252, 244]}, {\"cell\": \"0.67 ± 0.051*\", \"bbox\": [270, 235, 316, 244]}, {\"cell\": \"0.80 ± 0.067*\", \"bbox\": [334, 235, 379, 244]}, {\"cell\": \"0.55 ± 0.042*\", \"bbox\": [397, 235, 442, 244]}, {\"cell\": \"0.53 ± 0.025*\", \"bbox\": [460, 235, 506, 244]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 247, 23, 256]}, {\"cell\": \"Control\", \"bbox\": [28, 247, 52, 256]}, {\"cell\": \"1.00 ± 0.031\", \"bbox\": [84, 247, 126, 256]}, {\"cell\": \"1.49 ± 0.061\", \"bbox\": [144, 247, 186, 256]}, {\"cell\": \"2.07 ± 0.14\", \"bbox\": [207, 247, 246, 256]}, {\"cell\": \"4.21 ± 0.15\", \"bbox\": [270, 247, 309, 256]}, {\"cell\": \"1.33 ± 0.069*\", \"bbox\": [334, 246, 379, 256]}, {\"cell\": \"1.88 ± 0.14\", \"bbox\": [397, 247, 436, 256]}, {\"cell\": \"2.15 ± 0.12\", \"bbox\": [460, 247, 499, 256]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Hexaldehyde\", \"bbox\": [28, 259, 69, 267]}, {\"cell\": \"1.00 ± 0.18\", \"bbox\": [84, 259, 122, 267]}, {\"cell\": \"1.19 ± 0.14*\", \"bbox\": [144, 258, 185, 267]}, {\"cell\": \"0.87 ± 0.038*\", \"bbox\": [207, 258, 252, 267]}, {\"cell\": \"2.38 ± 0.087*\", \"bbox\": [270, 258, 316, 267]}, {\"cell\": \"1.83 ± 0.041\", \"bbox\": [334, 259, 376, 267]}, {\"cell\": \"1.65 ± 0.079\", \"bbox\": [397, 259, 439, 267]}, {\"cell\": \"1.94 ± 0.057\", \"bbox\": [460, 259, 503, 267]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5474486_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Determinants of overall satisfactionNumber (n = 119) n (%)Outcome highly satisfied n (%)Measure of associationp value
Hospital where screened[EMPTY_CELL][EMPTY_CELL]χ2 = 3.693[EMPTY_CELL]
A25 (21.01)23 (92.00)
B16 (13.45)3 (18.75)
C29 (24.37)28 (96.55)
D49 (41.18)49 (100.00)
Gender[EMPTY_CELL][EMPTY_CELL]χ2 = 2.910[EMPTY_CELL]
Male51 (42.86)42 (82.35)
Female68 (57.14)61 (89.71)
Ethnicity[EMPTY_CELL][EMPTY_CELL]Fishers Exact test[EMPTY_CELL]
Sinhalese1(0.84)1 (100.00)
Tamil94 (78.99)80 (85.11)
Muslim24 (20.17)22 (91.67)
Highest Level of education completed[EMPTY_CELL][EMPTY_CELL]Fishers Exact test[EMPTY_CELL]
No formal education6 (5.04)4 (66.07)
Primary79 (66.39)68 (86.08)
Secondary or above34 (28.37)31 (91.18)
Aware that the service is free[EMPTY_CELL][EMPTY_CELL]χ2 = 22.721[EMPTY_CELL]
Yes112 (94.12)102 (91.07)
No7 (5.88)1 (14.29)
Satisfaction level with comfort of the laboratory[EMPTY_CELL][EMPTY_CELL]χ2 = 8.291[EMPTY_CELL]
Highly satisfied99 (83.19)95 (95.96)
Somewhat satisfied10 (8.40)6 (60.00)
Neutral7 (5.88)1 (14.29)
Somewhat dissatisfied3 (2.52)1 (33.33)
Highly dissatisfied0 (0.00)0 (0.00)
Satisfaction with waiting time[EMPTY_CELL][EMPTY_CELL]χ2 = 3.819[EMPTY_CELL]
Highly satisfied90 (75.63)87 (96.67)
Somewhat satisfied17 (14.29)15 (88.24)
Neutral9 (7.56)1 (11.11)
Somewhat dissatisfied2 (1.68)0 (0.00)
Highly dissatisfied1 (0.84)0 (0.00)[EMPTY_CELL][EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Determinants of overall satisfaction\", \"bbox\": [1, 4, 126, 13]}, {\"cell\": \"Number (n = 119) n (%)\", \"bbox\": [192, 4, 275, 13]}, {\"cell\": \"Outcome highly satisfied n (%)\", \"bbox\": [298, 4, 355, 22]}, {\"cell\": \"Measure of association\", \"bbox\": [378, 4, 419, 22]}, {\"cell\": \"p value\", \"bbox\": [457, 4, 484, 13]}, {\"cell\": \"Hospital where screened\", \"bbox\": [1, 26, 88, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"χ2 = 3.693\", \"bbox\": [378, 24, 411, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 26, 480, 36]}, {\"cell\": \"A\", \"bbox\": [1, 40, 7, 50]}, {\"cell\": \"25 (21.01)\", \"bbox\": [192, 40, 225, 50]}, {\"cell\": \"23 (92.00)\", \"bbox\": [298, 40, 330, 50]}, {\"cell\": \"B\", \"bbox\": [1, 54, 7, 64]}, {\"cell\": \"16 (13.45)\", \"bbox\": [192, 54, 225, 64]}, {\"cell\": \"3 (18.75)\", \"bbox\": [298, 54, 327, 64]}, {\"cell\": \"C\", \"bbox\": [1, 68, 7, 78]}, {\"cell\": \"29 (24.37)\", \"bbox\": [192, 68, 225, 78]}, {\"cell\": \"28 (96.55)\", \"bbox\": [298, 68, 330, 78]}, {\"cell\": \"D\", \"bbox\": [1, 82, 8, 92]}, {\"cell\": \"49 (41.18)\", \"bbox\": [192, 82, 225, 92]}, {\"cell\": \"49 (100.00)\", \"bbox\": [298, 82, 334, 92]}, {\"cell\": \"Gender\", \"bbox\": [1, 96, 28, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"χ2 = 2.910\", \"bbox\": [378, 94, 411, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 96, 475, 106]}, {\"cell\": \"Male\", \"bbox\": [1, 110, 18, 120]}, {\"cell\": \"51 (42.86)\", \"bbox\": [192, 110, 225, 120]}, {\"cell\": \"42 (82.35)\", \"bbox\": [298, 110, 330, 120]}, {\"cell\": \"Female\", \"bbox\": [1, 124, 26, 134]}, {\"cell\": \"68 (57.14)\", \"bbox\": [192, 124, 225, 134]}, {\"cell\": \"61 (89.71)\", \"bbox\": [298, 124, 330, 134]}, {\"cell\": \"Ethnicity\", \"bbox\": [1, 138, 33, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Fishers Exact test\", \"bbox\": [378, 138, 434, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 138, 475, 148]}, {\"cell\": \"Sinhalese\", \"bbox\": [1, 152, 32, 162]}, {\"cell\": \"1(0.84)\", \"bbox\": [192, 152, 215, 162]}, {\"cell\": \"1 (100.00)\", \"bbox\": [298, 152, 331, 162]}, {\"cell\": \"Tamil\", \"bbox\": [1, 166, 20, 176]}, {\"cell\": \"94 (78.99)\", \"bbox\": [192, 166, 225, 176]}, {\"cell\": \"80 (85.11)\", \"bbox\": [298, 166, 330, 176]}, {\"cell\": \"Muslim\", \"bbox\": [1, 180, 26, 190]}, {\"cell\": \"24 (20.17)\", \"bbox\": [192, 180, 225, 190]}, {\"cell\": \"22 (91.67)\", \"bbox\": [298, 180, 330, 190]}, {\"cell\": \"Highest Level of education completed\", \"bbox\": [1, 194, 135, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Fishers Exact test\", \"bbox\": [378, 194, 434, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 194, 475, 204]}, {\"cell\": \"No formal education\", \"bbox\": [1, 208, 69, 218]}, {\"cell\": \"6 (5.04)\", \"bbox\": [192, 208, 217, 218]}, {\"cell\": \"4 (66.07)\", \"bbox\": [298, 208, 327, 218]}, {\"cell\": \"Primary\", \"bbox\": [1, 222, 26, 232]}, {\"cell\": \"79 (66.39)\", \"bbox\": [192, 222, 225, 232]}, {\"cell\": \"68 (86.08)\", \"bbox\": [298, 222, 330, 232]}, {\"cell\": \"Secondary or above\", \"bbox\": [1, 236, 67, 246]}, {\"cell\": \"34 (28.37)\", \"bbox\": [192, 236, 225, 246]}, {\"cell\": \"31 (91.18)\", \"bbox\": [298, 236, 330, 246]}, {\"cell\": \"Aware that the service is free\", \"bbox\": [1, 250, 104, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"χ2 = 22.721\", \"bbox\": [378, 248, 414, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 250, 480, 260]}, {\"cell\": \"Yes\", \"bbox\": [1, 264, 13, 274]}, {\"cell\": \"112 (94.12)\", \"bbox\": [192, 264, 229, 274]}, {\"cell\": \"102 (91.07)\", \"bbox\": [298, 264, 334, 274]}, {\"cell\": \"No\", \"bbox\": [1, 278, 12, 288]}, {\"cell\": \"7 (5.88)\", \"bbox\": [192, 278, 217, 288]}, {\"cell\": \"1 (14.29)\", \"bbox\": [298, 278, 327, 288]}, {\"cell\": \"Satisfaction level with comfort of the laboratory\", \"bbox\": [1, 292, 170, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"χ2 = 8.291\", \"bbox\": [378, 290, 411, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 292, 480, 302]}, {\"cell\": \"Highly satisfied\", \"bbox\": [1, 306, 51, 316]}, {\"cell\": \"99 (83.19)\", \"bbox\": [192, 306, 225, 316]}, {\"cell\": \"95 (95.96)\", \"bbox\": [298, 306, 330, 316]}, {\"cell\": \"Somewhat satisfied\", \"bbox\": [1, 320, 64, 330]}, {\"cell\": \"10 (8.40)\", \"bbox\": [192, 320, 221, 330]}, {\"cell\": \"6 (60.00)\", \"bbox\": [298, 320, 327, 330]}, {\"cell\": \"Neutral\", \"bbox\": [1, 334, 26, 344]}, {\"cell\": \"7 (5.88)\", \"bbox\": [192, 334, 217, 344]}, {\"cell\": \"1 (14.29)\", \"bbox\": [298, 334, 327, 344]}, {\"cell\": \"Somewhat dissatisfied\", \"bbox\": [1, 348, 73, 358]}, {\"cell\": \"3 (2.52)\", \"bbox\": [192, 348, 217, 358]}, {\"cell\": \"1 (33.33)\", \"bbox\": [298, 348, 327, 358]}, {\"cell\": \"Highly dissatisfied\", \"bbox\": [1, 362, 60, 372]}, {\"cell\": \"0 (0.00)\", \"bbox\": [192, 362, 217, 372]}, {\"cell\": \"0 (0.00)\", \"bbox\": [298, 362, 323, 372]}, {\"cell\": \"Satisfaction with waiting time\", \"bbox\": [1, 376, 106, 386]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"χ2 = 3.819\", \"bbox\": [378, 374, 411, 386]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 376, 480, 386]}, {\"cell\": \"Highly satisfied\", \"bbox\": [1, 390, 51, 400]}, {\"cell\": \"90 (75.63)\", \"bbox\": [192, 390, 225, 400]}, {\"cell\": \"87 (96.67)\", \"bbox\": [298, 390, 330, 400]}, {\"cell\": \"Somewhat satisfied\", \"bbox\": [1, 404, 64, 414]}, {\"cell\": \"17 (14.29)\", \"bbox\": [192, 404, 225, 414]}, {\"cell\": \"15 (88.24)\", \"bbox\": [298, 404, 330, 414]}, {\"cell\": \"Neutral\", \"bbox\": [1, 418, 26, 428]}, {\"cell\": \"9 (7.56)\", \"bbox\": [192, 418, 217, 428]}, {\"cell\": \"1 (11.11)\", \"bbox\": [298, 418, 327, 428]}, {\"cell\": \"Somewhat dissatisfied\", \"bbox\": [1, 432, 73, 442]}, {\"cell\": \"2 (1.68)\", \"bbox\": [192, 432, 217, 442]}, {\"cell\": \"0 (0.00)\", \"bbox\": [298, 432, 323, 442]}, {\"cell\": \"Highly dissatisfied\", \"bbox\": [1, 446, 60, 456]}, {\"cell\": \"1 (0.84)\", \"bbox\": [192, 446, 217, 456]}, {\"cell\": \"0 (0.00)\", \"bbox\": [298, 446, 323, 456]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4080784_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariablesAge 18–49 (n = 752)Age 50–64 (n = 2500)Age 65–79 (n = 3047)Age ≥80 (n = 544)P value
Bleeding (re-exploration)2.0%1.4%2.3%[EMPTY_CELL]0.04
Infection6.2%7.4%11.4%[EMPTY_CELL]<0.001
Neurologic events1.3%1.3%3.7%[EMPTY_CELL]<0.001
Pulmonary complications14.1%12.7%20.5%[EMPTY_CELL]<0.001
AKI6.5%4.7%11.2%[EMPTY_CELL]<0.001
Atrial fibrillation15.1%28.0%41.1%[EMPTY_CELL]<0.001
Cardiac arrest1.5%1.8%3.4%[EMPTY_CELL]<0.001
Heart block2.7%1.8%2.9%[EMPTY_CELL]<0.001
IABP3.0%3.1%3.9%[EMPTY_CELL]0.27
CRRT2.7%1.7%4.1%[EMPTY_CELL]<0.001
CVICU LOS (hr)87.5 ± 385.667.7 ± 145.0107.7 ± 248.7[EMPTY_CELL]<0.001
Hospital LOS8.7 ± 14.48.1 ± 14.711.3 ± 17.7[EMPTY_CELL]<0.001
CVICU re-admission3.9%2.6%4.6%[EMPTY_CELL]<0.001
Discharge location[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Home92.1%90.6%77.1%[EMPTY_CELL]<0.001
Other facilities7.9%9.4%22.9%[EMPTY_CELL]<0.001
\", \"cells\": [{\"cell\": \"Variables\", \"bbox\": [1, 5, 34, 14]}, {\"cell\": \"Age 18–49 (n = 752)\", \"bbox\": [101, 5, 172, 14]}, {\"cell\": \"Age 50–64 (n = 2500)\", \"bbox\": [190, 5, 265, 14]}, {\"cell\": \"Age 65–79 (n = 3047)\", \"bbox\": [283, 5, 359, 14]}, {\"cell\": \"Age ≥80 (n = 544)\", \"bbox\": [376, 5, 439, 14]}, {\"cell\": \"P value\", \"bbox\": [457, 5, 484, 14]}, {\"cell\": \"Bleeding (re-exploration)\", \"bbox\": [1, 18, 81, 27]}, {\"cell\": \"2.0%\", \"bbox\": [101, 18, 118, 27]}, {\"cell\": \"1.4%\", \"bbox\": [190, 18, 207, 27]}, {\"cell\": \"2.3%\", \"bbox\": [283, 18, 300, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 18, 393, 27]}, {\"cell\": \"0.04\", \"bbox\": [457, 18, 472, 27]}, {\"cell\": \"Infection\", \"bbox\": [1, 32, 30, 41]}, {\"cell\": \"6.2%\", \"bbox\": [101, 32, 118, 41]}, {\"cell\": \"7.4%\", \"bbox\": [190, 32, 207, 41]}, {\"cell\": \"11.4%\", \"bbox\": [283, 32, 304, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 32, 397, 41]}, {\"cell\": \"<0.001\", \"bbox\": [457, 32, 480, 41]}, {\"cell\": \"Neurologic events\", \"bbox\": [1, 46, 61, 55]}, {\"cell\": \"1.3%\", \"bbox\": [101, 46, 118, 55]}, {\"cell\": \"1.3%\", \"bbox\": [190, 46, 207, 55]}, {\"cell\": \"3.7%\", \"bbox\": [283, 46, 300, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 46, 393, 55]}, {\"cell\": \"<0.001\", \"bbox\": [457, 46, 480, 55]}, {\"cell\": \"Pulmonary complications\", \"bbox\": [1, 60, 83, 69]}, {\"cell\": \"14.1%\", \"bbox\": [101, 60, 122, 69]}, {\"cell\": \"12.7%\", \"bbox\": [190, 60, 211, 69]}, {\"cell\": \"20.5%\", \"bbox\": [283, 60, 304, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 60, 397, 69]}, {\"cell\": \"<0.001\", \"bbox\": [457, 60, 480, 69]}, {\"cell\": \"AKI\", \"bbox\": [1, 74, 13, 83]}, {\"cell\": \"6.5%\", \"bbox\": [101, 74, 118, 83]}, {\"cell\": \"4.7%\", \"bbox\": [190, 74, 207, 83]}, {\"cell\": \"11.2%\", \"bbox\": [283, 74, 304, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 74, 397, 83]}, {\"cell\": \"<0.001\", \"bbox\": [457, 74, 480, 83]}, {\"cell\": \"Atrial fibrillation\", \"bbox\": [1, 88, 53, 97]}, {\"cell\": \"15.1%\", \"bbox\": [101, 88, 122, 97]}, {\"cell\": \"28.0%\", \"bbox\": [190, 88, 211, 97]}, {\"cell\": \"41.1%\", \"bbox\": [283, 88, 304, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 88, 397, 97]}, {\"cell\": \"<0.001\", \"bbox\": [457, 88, 480, 97]}, {\"cell\": \"Cardiac arrest\", \"bbox\": [1, 102, 46, 111]}, {\"cell\": \"1.5%\", \"bbox\": [101, 102, 118, 111]}, {\"cell\": \"1.8%\", \"bbox\": [190, 102, 207, 111]}, {\"cell\": \"3.4%\", \"bbox\": [283, 102, 300, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 102, 393, 111]}, {\"cell\": \"<0.001\", \"bbox\": [457, 102, 480, 111]}, {\"cell\": \"Heart block\", \"bbox\": [1, 116, 39, 125]}, {\"cell\": \"2.7%\", \"bbox\": [101, 116, 118, 125]}, {\"cell\": \"1.8%\", \"bbox\": [190, 116, 207, 125]}, {\"cell\": \"2.9%\", \"bbox\": [283, 116, 300, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 116, 393, 125]}, {\"cell\": \"<0.001\", \"bbox\": [457, 116, 480, 125]}, {\"cell\": \"IABP\", \"bbox\": [1, 130, 17, 139]}, {\"cell\": \"3.0%\", \"bbox\": [101, 130, 118, 139]}, {\"cell\": \"3.1%\", \"bbox\": [190, 130, 207, 139]}, {\"cell\": \"3.9%\", \"bbox\": [283, 130, 300, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 130, 393, 139]}, {\"cell\": \"0.27\", \"bbox\": [457, 130, 472, 139]}, {\"cell\": \"CRRT\", \"bbox\": [1, 144, 19, 153]}, {\"cell\": \"2.7%\", \"bbox\": [101, 144, 118, 153]}, {\"cell\": \"1.7%\", \"bbox\": [190, 144, 207, 153]}, {\"cell\": \"4.1%\", \"bbox\": [283, 144, 300, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 144, 393, 153]}, {\"cell\": \"<0.001\", \"bbox\": [457, 144, 480, 153]}, {\"cell\": \"CVICU LOS (hr)\", \"bbox\": [1, 158, 50, 167]}, {\"cell\": \"87.5 ± 385.6\", \"bbox\": [101, 158, 140, 167]}, {\"cell\": \"67.7 ± 145.0\", \"bbox\": [190, 158, 229, 167]}, {\"cell\": \"107.7 ± 248.7\", \"bbox\": [283, 158, 326, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 158, 419, 167]}, {\"cell\": \"<0.001\", \"bbox\": [457, 158, 480, 167]}, {\"cell\": \"Hospital LOS\", \"bbox\": [1, 172, 43, 181]}, {\"cell\": \"8.7 ± 14.4\", \"bbox\": [101, 172, 133, 181]}, {\"cell\": \"8.1 ± 14.7\", \"bbox\": [190, 172, 222, 181]}, {\"cell\": \"11.3 ± 17.7\", \"bbox\": [283, 172, 319, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 172, 412, 181]}, {\"cell\": \"<0.001\", \"bbox\": [457, 172, 480, 181]}, {\"cell\": \"CVICU re-admission\", \"bbox\": [1, 186, 65, 195]}, {\"cell\": \"3.9%\", \"bbox\": [101, 186, 118, 195]}, {\"cell\": \"2.6%\", \"bbox\": [190, 186, 207, 195]}, {\"cell\": \"4.6%\", \"bbox\": [283, 186, 300, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 186, 393, 195]}, {\"cell\": \"<0.001\", \"bbox\": [457, 186, 480, 195]}, {\"cell\": \"Discharge location\", \"bbox\": [1, 200, 62, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Home\", \"bbox\": [8, 214, 30, 223]}, {\"cell\": \"92.1%\", \"bbox\": [101, 214, 122, 223]}, {\"cell\": \"90.6%\", \"bbox\": [190, 214, 211, 223]}, {\"cell\": \"77.1%\", \"bbox\": [283, 214, 304, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 214, 397, 223]}, {\"cell\": \"<0.001\", \"bbox\": [457, 214, 480, 223]}, {\"cell\": \"Other facilities\", \"bbox\": [8, 228, 56, 237]}, {\"cell\": \"7.9%\", \"bbox\": [101, 228, 118, 237]}, {\"cell\": \"9.4%\", \"bbox\": [190, 228, 207, 237]}, {\"cell\": \"22.9%\", \"bbox\": [283, 228, 304, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 228, 397, 237]}, {\"cell\": \"<0.001\", \"bbox\": [457, 228, 480, 237]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4255435_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
MedicationPre-PH48Post-PH48
n = 76Mean dose (SD)n = 40Mean dose (SD)
Amitriptyline[EMPTY_CELL]–220.0 mg (0.0)
Chlorpromazine[EMPTY_CELL]–212.0 mg (0.0)
Clozapine[EMPTY_CELL]325.0 mg (106.1)4281.2 mg (132.5)
Diazepam[EMPTY_CELL]21.9 mg (32.7)47.6 mg (3.3)
Duloxetine[EMPTY_CELL]120.0 mg (0.0)290.0 mg (0.0)
Flupentixol[EMPTY_CELL]6.0 mg (4.2)––
Flupentixol Deconate*[EMPTY_CELL]260.0 mg (197.9)––
Haloperidol[EMPTY_CELL]11.3 mg (7.2)49.1 mg (5.6)
Haloperidol Depot*[EMPTY_CELL]116.6 mg (28.9)3133.3 mg (28.9)
Lorazepam[EMPTY_CELL]1.1 mg (0.47)51.1 mg (0.54)
Mirtazapine[EMPTY_CELL]37.5 mg (10.1)929.4 mg (14.5)
Olanzapine[EMPTY_CELL]10.2 mg (5.6)199.1 mg (4.8)
Tamazepam[EMPTY_CELL]40.0 mg (−)––
Zuclopentixol[EMPTY_CELL]110.0 mg (82.2)454.7 mg (41.8)
Zuclopentixol Deconate*[EMPTY_CELL]1050.0 mg (234.5)51600.0 mg (489.9)
\", \"cells\": [{\"cell\": \"Medication\", \"bbox\": [1, 4, 38, 13]}, {\"cell\": \"Pre-PH48\", \"bbox\": [140, 4, 171, 13]}, {\"cell\": \"Post-PH48\", \"bbox\": [343, 4, 377, 13]}, {\"cell\": \"n = 76\", \"bbox\": [140, 17, 161, 27]}, {\"cell\": \"Mean dose (SD)\", \"bbox\": [222, 17, 273, 27]}, {\"cell\": \"n = 40\", \"bbox\": [343, 17, 364, 27]}, {\"cell\": \"Mean dose (SD)\", \"bbox\": [426, 17, 476, 27]}, {\"cell\": \"Amitriptyline\", \"bbox\": [1, 30, 41, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [140, 34, 146, 38]}, {\"cell\": \"–\", \"bbox\": [222, 34, 228, 38]}, {\"cell\": \"2\", \"bbox\": [343, 30, 349, 40]}, {\"cell\": \"20.0 mg (0.0)\", \"bbox\": [426, 30, 469, 40]}, {\"cell\": \"Chlorpromazine\", \"bbox\": [1, 44, 51, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [140, 48, 146, 52]}, {\"cell\": \"–\", \"bbox\": [222, 48, 228, 52]}, {\"cell\": \"2\", \"bbox\": [343, 44, 349, 54]}, {\"cell\": \"12.0 mg (0.0)\", \"bbox\": [426, 44, 469, 54]}, {\"cell\": \"Clozapine\", \"bbox\": [1, 58, 32, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [140, 58, 145, 68]}, {\"cell\": \"325.0 mg (106.1)\", \"bbox\": [222, 58, 277, 68]}, {\"cell\": \"4\", \"bbox\": [343, 58, 349, 68]}, {\"cell\": \"281.2 mg (132.5)\", \"bbox\": [426, 58, 481, 68]}, {\"cell\": \"Diazepam\", \"bbox\": [1, 72, 34, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [140, 72, 145, 82]}, {\"cell\": \"21.9 mg (32.7)\", \"bbox\": [222, 72, 270, 82]}, {\"cell\": \"4\", \"bbox\": [343, 72, 349, 82]}, {\"cell\": \"7.6 mg (3.3)\", \"bbox\": [426, 72, 465, 82]}, {\"cell\": \"Duloxetine\", \"bbox\": [1, 86, 35, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [140, 86, 145, 96]}, {\"cell\": \"120.0 mg (0.0)\", \"bbox\": [222, 86, 270, 96]}, {\"cell\": \"2\", \"bbox\": [343, 86, 349, 96]}, {\"cell\": \"90.0 mg (0.0)\", \"bbox\": [426, 86, 469, 96]}, {\"cell\": \"Flupentixol\", \"bbox\": [1, 100, 35, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [140, 100, 145, 110]}, {\"cell\": \"6.0 mg (4.2)\", \"bbox\": [222, 100, 262, 110]}, {\"cell\": \"–\", \"bbox\": [343, 104, 349, 108]}, {\"cell\": \"–\", \"bbox\": [426, 104, 432, 108]}, {\"cell\": \"Flupentixol Deconate*\", \"bbox\": [1, 114, 70, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [140, 114, 145, 124]}, {\"cell\": \"260.0 mg (197.9)\", \"bbox\": [222, 114, 277, 124]}, {\"cell\": \"–\", \"bbox\": [343, 118, 349, 122]}, {\"cell\": \"–\", \"bbox\": [426, 118, 432, 122]}, {\"cell\": \"Haloperidol\", \"bbox\": [1, 128, 38, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [140, 128, 145, 138]}, {\"cell\": \"11.3 mg (7.2)\", \"bbox\": [222, 128, 266, 138]}, {\"cell\": \"4\", \"bbox\": [343, 128, 349, 138]}, {\"cell\": \"9.1 mg (5.6)\", \"bbox\": [426, 128, 465, 138]}, {\"cell\": \"Haloperidol Depot*\", \"bbox\": [1, 142, 62, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [140, 142, 145, 152]}, {\"cell\": \"116.6 mg (28.9)\", \"bbox\": [222, 142, 274, 152]}, {\"cell\": \"3\", \"bbox\": [343, 142, 349, 152]}, {\"cell\": \"133.3 mg (28.9)\", \"bbox\": [426, 142, 477, 152]}, {\"cell\": \"Lorazepam\", \"bbox\": [1, 156, 37, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [140, 156, 145, 166]}, {\"cell\": \"1.1 mg (0.47)\", \"bbox\": [222, 156, 266, 166]}, {\"cell\": \"5\", \"bbox\": [343, 156, 349, 166]}, {\"cell\": \"1.1 mg (0.54)\", \"bbox\": [426, 156, 469, 166]}, {\"cell\": \"Mirtazapine\", \"bbox\": [1, 170, 39, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [140, 170, 149, 180]}, {\"cell\": \"37.5 mg (10.1)\", \"bbox\": [222, 170, 270, 180]}, {\"cell\": \"9\", \"bbox\": [343, 170, 349, 180]}, {\"cell\": \"29.4 mg (14.5)\", \"bbox\": [426, 170, 473, 180]}, {\"cell\": \"Olanzapine\", \"bbox\": [1, 184, 37, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [140, 184, 149, 194]}, {\"cell\": \"10.2 mg (5.6)\", \"bbox\": [222, 184, 266, 194]}, {\"cell\": \"19\", \"bbox\": [343, 184, 352, 194]}, {\"cell\": \"9.1 mg (4.8)\", \"bbox\": [426, 184, 465, 194]}, {\"cell\": \"Tamazepam\", \"bbox\": [1, 198, 40, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [140, 198, 145, 208]}, {\"cell\": \"40.0 mg (−)\", \"bbox\": [222, 198, 262, 208]}, {\"cell\": \"–\", \"bbox\": [343, 202, 349, 206]}, {\"cell\": \"–\", \"bbox\": [426, 202, 432, 206]}, {\"cell\": \"Zuclopentixol\", \"bbox\": [1, 212, 43, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [140, 212, 145, 222]}, {\"cell\": \"110.0 mg (82.2)\", \"bbox\": [222, 212, 274, 222]}, {\"cell\": \"4\", \"bbox\": [343, 212, 349, 222]}, {\"cell\": \"54.7 mg (41.8)\", \"bbox\": [426, 212, 473, 222]}, {\"cell\": \"Zuclopentixol Deconate*\", \"bbox\": [1, 226, 78, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [140, 226, 145, 236]}, {\"cell\": \"1050.0 mg (234.5)\", \"bbox\": [222, 226, 281, 236]}, {\"cell\": \"5\", \"bbox\": [343, 226, 349, 236]}, {\"cell\": \"1600.0 mg (489.9)\", \"bbox\": [426, 226, 484, 236]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC6042321_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Variablesn = 30Moringa group%n = 30Control group%P
Median (min–max)Median (min–max)
Mean (SD)Mean (SD)
[EMPTY_CELL][EMPTY_CELL]12.2 (1.3)[EMPTY_CELL][EMPTY_CELL]12.3 (1.4)[EMPTY_CELL]0.99
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]37[EMPTY_CELL][EMPTY_CELL]400.79
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]63[EMPTY_CELL][EMPTY_CELL]60[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]432.4 (195.0)[EMPTY_CELL][EMPTY_CELL]459.4 (215.0)[EMPTY_CELL]0.61
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]30[EMPTY_CELL][EMPTY_CELL]300.99
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]70[EMPTY_CELL][EMPTY_CELL]70[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]70[EMPTY_CELL][EMPTY_CELL]670.78
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]30[EMPTY_CELL][EMPTY_CELL]33[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]70[EMPTY_CELL][EMPTY_CELL]630.58
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]30[EMPTY_CELL][EMPTY_CELL]37[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]97[EMPTY_CELL][EMPTY_CELL]870.23
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]3[EMPTY_CELL][EMPTY_CELL]13[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]3.3 (0.8)[EMPTY_CELL][EMPTY_CELL]3.9 (0.7)[EMPTY_CELL]0.018
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]57[EMPTY_CELL][EMPTY_CELL]300.03
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]43[EMPTY_CELL][EMPTY_CELL]70[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]83[EMPTY_CELL][EMPTY_CELL]600.04
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]17[EMPTY_CELL][EMPTY_CELL]40[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]7[EMPTY_CELL][EMPTY_CELL]7[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]100[EMPTY_CELL][EMPTY_CELL]100-
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0[EMPTY_CELL][EMPTY_CELL]0[EMPTY_CELL]
[EMPTY_CELL]23[EMPTY_CELL][EMPTY_CELL]23[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]100[EMPTY_CELL][EMPTY_CELL]100-
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0[EMPTY_CELL][EMPTY_CELL]0[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Variables\", \"bbox\": [1, 4, 30, 13]}, {\"cell\": \"n = 30\", \"bbox\": [94, 4, 117, 13]}, {\"cell\": \"Moringa group\", \"bbox\": [146, 4, 196, 13]}, {\"cell\": \"%\", \"bbox\": [237, 4, 245, 13]}, {\"cell\": \"n = 30\", \"bbox\": [280, 4, 303, 13]}, {\"cell\": \"Control group\", \"bbox\": [332, 4, 379, 13]}, {\"cell\": \"%\", \"bbox\": [423, 4, 431, 13]}, {\"cell\": \"P\", \"bbox\": [466, 4, 472, 12]}, {\"cell\": \"Median (min–max)\", \"bbox\": [146, 17, 208, 27]}, {\"cell\": \"Median (min–max)\", \"bbox\": [332, 17, 394, 27]}, {\"cell\": \"Mean (SD)\", \"bbox\": [146, 30, 181, 40]}, {\"cell\": \"Mean (SD)\", \"bbox\": [332, 30, 367, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 43, 31, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"12.2 (1.3)\", \"bbox\": [160, 43, 190, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"12.3 (1.4)\", \"bbox\": [346, 43, 376, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.99\", \"bbox\": [466, 43, 481, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 57, 15, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"37\", \"bbox\": [237, 57, 247, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"40\", \"bbox\": [423, 57, 433, 67]}, {\"cell\": \"0.79\", \"bbox\": [466, 57, 481, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 71, 15, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"63\", \"bbox\": [237, 71, 247, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"60\", \"bbox\": [423, 71, 433, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 85, 46, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"432.4 (195.0)\", \"bbox\": [156, 85, 198, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"459.4 (215.0)\", \"bbox\": [342, 85, 384, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.61\", \"bbox\": [466, 85, 481, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 99, 19, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"30\", \"bbox\": [237, 99, 247, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"30\", \"bbox\": [423, 99, 433, 109]}, {\"cell\": \"0.99\", \"bbox\": [466, 99, 481, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 113, 19, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"70\", \"bbox\": [237, 113, 247, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"70\", \"bbox\": [423, 113, 433, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 127, 62, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 141, 63, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"70\", \"bbox\": [237, 141, 247, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"67\", \"bbox\": [423, 141, 433, 151]}, {\"cell\": \"0.78\", \"bbox\": [466, 141, 481, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 155, 56, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"30\", \"bbox\": [237, 155, 247, 165]}, 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389]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0\", \"bbox\": [237, 379, 243, 389]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0\", \"bbox\": [423, 379, 429, 389]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 393, 28, 403]}, {\"cell\": \"23\", \"bbox\": [101, 393, 110, 403]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"23\", \"bbox\": [287, 393, 296, 403]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 407, 17, 417]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"100\", \"bbox\": [237, 407, 251, 417]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"100\", \"bbox\": [423, 407, 437, 417]}, {\"cell\": \"-\", \"bbox\": [466, 407, 470, 417]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 421, 16, 431]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0\", \"bbox\": [237, 421, 243, 431]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0\", \"bbox\": [423, 421, 429, 431]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5568305_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
RecifeRecent (%)Long-term (%)pa
[EMPTY_CELL]13-2419.480.60.230
[EMPTY_CELL]12.187.9
[EMPTY_CELL]11.188,9
[EMPTY_CELL]11.888.2
[EMPTY_CELL]F8.991.10.073
[EMPTY_CELL]14.585.5
[EMPTY_CELL]F8.991.1< 0.001b
[EMPTY_CELL]26.074.0
[EMPTY_CELL]9.290,8
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]13-2418.881.20.001b
[EMPTY_CELL]11.288.8
[EMPTY_CELL]7.592.5
[EMPTY_CELL]2.797.3
[EMPTY_CELL]F11.388.70.313
[EMPTY_CELL]9.790.3
[EMPTY_CELL]F11.388.70.01b
[EMPTY_CELL]15.584.5
[EMPTY_CELL]6.893.2
\", \"cells\": [{\"cell\": \"Recife\", \"bbox\": [4, 4, 28, 14]}, {\"cell\": \"Recent (%)\", \"bbox\": [236, 4, 277, 14]}, {\"cell\": \"Long-term (%)\", \"bbox\": [292, 4, 346, 14]}, {\"cell\": \"pa\", \"bbox\": [368, 4, 377, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 38, 66, 48]}, {\"cell\": \"13-24\", \"bbox\": [143, 18, 166, 28]}, {\"cell\": \"19.4\", \"bbox\": [248, 18, 265, 28]}, {\"cell\": \"80.6\", \"bbox\": [310, 18, 328, 28]}, {\"cell\": \"0.230\", \"bbox\": [362, 38, 384, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 31, 166, 41]}, {\"cell\": \"12.1\", \"bbox\": [248, 31, 265, 41]}, {\"cell\": \"87.9\", \"bbox\": [310, 31, 328, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 45, 166, 55]}, {\"cell\": \"11.1\", \"bbox\": [248, 45, 265, 55]}, {\"cell\": \"88,9\", \"bbox\": [310, 45, 328, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [147, 58, 162, 68]}, {\"cell\": \"11.8\", \"bbox\": [248, 58, 265, 68]}, {\"cell\": \"88.2\", \"bbox\": [310, 58, 328, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 78, 18, 89]}, {\"cell\": \"F\", \"bbox\": [152, 72, 158, 82]}, {\"cell\": \"8.9\", \"bbox\": [250, 72, 263, 82]}, {\"cell\": \"91.1\", \"bbox\": [310, 72, 328, 82]}, {\"cell\": \"0.073\", \"bbox\": [362, 78, 384, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 85, 159, 95]}, {\"cell\": \"14.5\", \"bbox\": [248, 85, 265, 95]}, {\"cell\": \"85.5\", \"bbox\": [310, 85, 328, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 112, 69, 122]}, {\"cell\": \"F\", \"bbox\": [152, 99, 158, 109]}, {\"cell\": \"8.9\", \"bbox\": [250, 99, 263, 109]}, {\"cell\": \"91.1\", \"bbox\": [310, 99, 328, 109]}, {\"cell\": \"< 0.001b\", \"bbox\": [357, 112, 389, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [144, 112, 165, 122]}, {\"cell\": \"26.0\", \"bbox\": [248, 112, 265, 122]}, {\"cell\": \"74.0\", \"bbox\": [310, 112, 328, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [96, 126, 213, 136]}, {\"cell\": \"9.2\", \"bbox\": [250, 126, 263, 136]}, {\"cell\": \"90,8\", \"bbox\": [310, 126, 328, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 139, 34, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 173, 66, 183]}, {\"cell\": \"13-24\", \"bbox\": [143, 152, 166, 163]}, {\"cell\": \"18.8\", \"bbox\": [248, 152, 265, 163]}, {\"cell\": \"81.2\", \"bbox\": [310, 152, 328, 163]}, {\"cell\": \"0.001b\", \"bbox\": [361, 173, 385, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 166, 166, 176]}, {\"cell\": \"11.2\", \"bbox\": [248, 166, 265, 176]}, {\"cell\": \"88.8\", \"bbox\": [310, 166, 328, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 179, 166, 190]}, {\"cell\": \"7.5\", \"bbox\": [250, 179, 263, 190]}, {\"cell\": \"92.5\", \"bbox\": [310, 179, 328, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [147, 193, 162, 203]}, {\"cell\": \"2.7\", \"bbox\": [250, 193, 263, 203]}, {\"cell\": \"97.3\", \"bbox\": [310, 193, 328, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 213, 18, 223]}, {\"cell\": \"F\", \"bbox\": [152, 206, 158, 217]}, {\"cell\": \"11.3\", \"bbox\": [248, 206, 265, 217]}, {\"cell\": \"88.7\", \"bbox\": [310, 206, 328, 217]}, {\"cell\": \"0.313\", \"bbox\": [362, 213, 384, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 220, 159, 230]}, {\"cell\": \"9.7\", \"bbox\": [250, 220, 263, 230]}, {\"cell\": \"90.3\", \"bbox\": [310, 220, 328, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 247, 69, 257]}, {\"cell\": \"F\", \"bbox\": [152, 233, 158, 244]}, {\"cell\": \"11.3\", \"bbox\": [248, 233, 265, 244]}, {\"cell\": \"88.7\", \"bbox\": [310, 233, 328, 244]}, {\"cell\": \"0.01b\", \"bbox\": [363, 247, 383, 257]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [144, 247, 165, 257]}, {\"cell\": \"15.5\", \"bbox\": [248, 247, 265, 257]}, {\"cell\": \"84.5\", \"bbox\": [310, 247, 328, 257]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [96, 260, 213, 271]}, {\"cell\": \"6.8\", \"bbox\": [250, 260, 263, 271]}, {\"cell\": \"93.2\", \"bbox\": [310, 260, 328, 271]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5001804_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Host speciesSample typeNumber of specimens per animalTotal number of samples analysedPCR positives/all tested
HaemotropicMycoplasmaspp.RickettsialesOthers
Haemofelis groupResult of sequencingRickettsia helveticaAnaplasma phagocytophilumWolbachiasp.Borrelia burgdorferis.l.Bartonellasp.
Mus musculusspleen13721/37not successful[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]1/37[EMPTY_CELL]
flea (Leptopsylla segnis)1-310[EMPTY_CELL]-2/10[EMPTY_CELL]1/10[EMPTY_CELL]1/10
mite (Laelaps algericus)1-153[EMPTY_CELL]-1/3[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Micromys minutusspleen111/1nM. sp. (1×, 100%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Rattus norvegicusspleen11413/14nM. sp. (1×, 98%), M. sp. [AB752303] (1×, 99%)*[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]1/14[EMPTY_CELL]
louse (Polyplax spinulosa)4-5021*/2-[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Host species\", \"bbox\": [1, 4, 46, 13]}, {\"cell\": \"Sample type\", \"bbox\": [65, 4, 111, 13]}, {\"cell\": \"Number of specimens per animal\", \"bbox\": [155, 4, 194, 31]}, {\"cell\": \"Total number of samples analysed\", \"bbox\": [200, 4, 239, 40]}, {\"cell\": \"PCR positives/all tested\", \"bbox\": [245, 4, 328, 13]}, {\"cell\": \"HaemotropicMycoplasmaspp.\", \"bbox\": [245, 17, 353, 27]}, {\"cell\": \"Rickettsiales\", \"bbox\": [377, 17, 421, 27]}, {\"cell\": \"Others\", \"bbox\": [539, 17, 564, 27]}, {\"cell\": \"Haemofelis group\", \"bbox\": [245, 30, 285, 49]}, {\"cell\": \"Result of sequencing\", \"bbox\": [291, 30, 366, 40]}, {\"cell\": \"Rickettsia helvetica\", \"bbox\": [377, 30, 411, 49]}, {\"cell\": \"Anaplasma phagocytophilum\", \"bbox\": [417, 30, 477, 49]}, {\"cell\": \"Wolbachiasp.\", \"bbox\": [484, 30, 533, 40]}, {\"cell\": \"Borrelia burgdorferis.l.\", \"bbox\": [539, 30, 591, 49]}, {\"cell\": \"Bartonellasp.\", \"bbox\": [597, 30, 645, 40]}, {\"cell\": \"Mus musculus\", \"bbox\": [1, 52, 46, 62]}, {\"cell\": \"spleen\", \"bbox\": [65, 52, 90, 62]}, {\"cell\": \"1\", \"bbox\": [155, 52, 160, 62]}, {\"cell\": \"37\", \"bbox\": [200, 52, 210, 62]}, {\"cell\": \"21/37\", \"bbox\": [245, 52, 265, 62]}, {\"cell\": \"not successful\", \"bbox\": [291, 52, 338, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [377, 52, 393, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1/37\", \"bbox\": [539, 52, 556, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"flea (Leptopsylla segnis)\", \"bbox\": [65, 66, 141, 76]}, {\"cell\": \"1-3\", \"bbox\": [155, 66, 167, 76]}, {\"cell\": \"10\", \"bbox\": [200, 66, 210, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"-\", \"bbox\": [291, 66, 296, 76]}, {\"cell\": \"2/10\", \"bbox\": [377, 66, 393, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1/10\", \"bbox\": [484, 66, 500, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1/10\", \"bbox\": [597, 66, 613, 76]}, {\"cell\": \"mite (Laelaps algericus)\", \"bbox\": [65, 80, 141, 90]}, {\"cell\": \"1-15\", \"bbox\": [155, 80, 170, 90]}, {\"cell\": \"3\", \"bbox\": [200, 80, 206, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"-\", \"bbox\": [291, 80, 296, 90]}, {\"cell\": \"1/3\", \"bbox\": [377, 80, 389, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [417, 80, 429, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Micromys minutus\", \"bbox\": [1, 94, 59, 104]}, {\"cell\": \"spleen\", \"bbox\": [65, 94, 90, 104]}, {\"cell\": \"1\", \"bbox\": [155, 94, 160, 104]}, {\"cell\": \"1\", \"bbox\": [200, 94, 206, 104]}, {\"cell\": \"1/1\", \"bbox\": [245, 94, 257, 104]}, {\"cell\": \"nM. sp. (1×, 100%)\", \"bbox\": [291, 94, 352, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Rattus norvegicus\", \"bbox\": [1, 108, 57, 118]}, {\"cell\": \"spleen\", \"bbox\": [65, 108, 90, 118]}, {\"cell\": \"1\", \"bbox\": [155, 108, 160, 118]}, {\"cell\": \"14\", \"bbox\": [200, 108, 210, 118]}, {\"cell\": \"13/14\", \"bbox\": [245, 108, 265, 118]}, {\"cell\": \"nM. sp. (1×, 98%), M. sp. [AB752303] (1×, 99%)*\", \"bbox\": [291, 108, 371, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1/14\", \"bbox\": [539, 108, 555, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"louse (Polyplax spinulosa)\", \"bbox\": [65, 131, 148, 141]}, {\"cell\": \"4-50\", \"bbox\": [155, 131, 170, 141]}, {\"cell\": \"2\", \"bbox\": [200, 131, 206, 141]}, {\"cell\": \"1*/2\", \"bbox\": [245, 131, 260, 141]}, {\"cell\": \"-\", \"bbox\": [291, 131, 296, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4299477_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Clinical characteristicsNumber (n)Percent
[EMPTY_CELL]122100
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]56[EMPTY_CELL]
[EMPTY_CELL]21–79[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]7461
[EMPTY_CELL]4839
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]4738.6
[EMPTY_CELL]2621.3
[EMPTY_CELL]1713.9
[EMPTY_CELL]75.7
[EMPTY_CELL]64.9
[EMPTY_CELL]43.3
[EMPTY_CELL]1512.3
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]129.8
[EMPTY_CELL]75.7
[EMPTY_CELL]1613.2
[EMPTY_CELL]8771.3
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]8670.5
[EMPTY_CELL]3629.5
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]8267.2
[EMPTY_CELL]4032.8
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]119.0
[EMPTY_CELL]2419.7
[EMPTY_CELL]3327.1
[EMPTY_CELL]3125.4
[EMPTY_CELL]2318.8
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]10888.5
[EMPTY_CELL]119.0
[EMPTY_CELL]32.5
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]8771.3
[EMPTY_CELL]3528.7
\", \"cells\": [{\"cell\": \"Clinical characteristics\", \"bbox\": [1, 4, 72, 13]}, {\"cell\": \"Number (n)\", \"bbox\": [133, 4, 172, 13]}, {\"cell\": \"Percent\", \"bbox\": [210, 4, 236, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 17, 46, 27]}, {\"cell\": \"122\", \"bbox\": [133, 17, 147, 27]}, {\"cell\": \"100\", \"bbox\": [210, 17, 224, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 31, 79, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 45, 34, 55]}, {\"cell\": \"56\", \"bbox\": [133, 45, 143, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 59, 30, 69]}, {\"cell\": \"21–79\", \"bbox\": [133, 59, 155, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 73, 26, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 87, 26, 97]}, {\"cell\": \"74\", \"bbox\": [133, 87, 143, 97]}, {\"cell\": \"61\", \"bbox\": [210, 87, 220, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 101, 34, 111]}, {\"cell\": \"48\", \"bbox\": [133, 101, 143, 111]}, {\"cell\": \"39\", \"bbox\": [210, 101, 220, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 115, 32, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 129, 58, 139]}, {\"cell\": \"47\", \"bbox\": [133, 129, 143, 139]}, {\"cell\": \"38.6\", \"bbox\": [210, 129, 225, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 143, 57, 153]}, {\"cell\": \"26\", \"bbox\": [133, 143, 143, 153]}, {\"cell\": \"21.3\", \"bbox\": [210, 143, 225, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 157, 65, 167]}, {\"cell\": \"17\", \"bbox\": [133, 157, 143, 167]}, {\"cell\": \"13.9\", \"bbox\": [210, 157, 225, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 171, 72, 180]}, {\"cell\": \"7\", \"bbox\": [133, 171, 139, 180]}, {\"cell\": \"5.7\", \"bbox\": [210, 171, 221, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 185, 44, 194]}, {\"cell\": \"6\", \"bbox\": [133, 185, 139, 194]}, {\"cell\": \"4.9\", \"bbox\": [210, 185, 221, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 199, 62, 208]}, {\"cell\": \"4\", \"bbox\": [133, 199, 139, 208]}, {\"cell\": \"3.3\", \"bbox\": [210, 199, 221, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 213, 29, 222]}, {\"cell\": \"15\", \"bbox\": [133, 213, 143, 222]}, {\"cell\": \"12.3\", \"bbox\": [210, 213, 225, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 227, 43, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 241, 18, 250]}, {\"cell\": \"12\", \"bbox\": [133, 241, 143, 250]}, {\"cell\": \"9.8\", \"bbox\": [210, 241, 221, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 255, 18, 264]}, {\"cell\": \"7\", \"bbox\": [133, 255, 139, 264]}, {\"cell\": \"5.7\", \"bbox\": [210, 255, 221, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 269, 18, 278]}, {\"cell\": \"16\", \"bbox\": [133, 269, 143, 278]}, {\"cell\": \"13.2\", \"bbox\": [210, 269, 225, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 283, 18, 292]}, {\"cell\": \"87\", \"bbox\": [133, 283, 143, 292]}, {\"cell\": \"71.3\", \"bbox\": [210, 283, 225, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 297, 62, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 311, 52, 320]}, {\"cell\": \"86\", \"bbox\": [133, 311, 143, 320]}, {\"cell\": \"70.5\", \"bbox\": [210, 311, 225, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 325, 48, 334]}, {\"cell\": \"36\", \"bbox\": [133, 325, 143, 334]}, {\"cell\": \"29.5\", \"bbox\": [210, 325, 225, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 339, 67, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 353, 67, 362]}, {\"cell\": \"82\", \"bbox\": [133, 353, 143, 362]}, {\"cell\": \"67.2\", \"bbox\": [210, 353, 225, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 367, 46, 376]}, {\"cell\": \"40\", \"bbox\": [133, 367, 143, 376]}, {\"cell\": \"32.8\", \"bbox\": [210, 367, 225, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 381, 54, 390]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 395, 18, 404]}, {\"cell\": \"11\", \"bbox\": [133, 395, 143, 404]}, {\"cell\": \"9.0\", \"bbox\": [210, 395, 221, 404]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 409, 18, 418]}, {\"cell\": \"24\", \"bbox\": [133, 409, 143, 418]}, {\"cell\": \"19.7\", \"bbox\": [210, 409, 225, 418]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 423, 18, 432]}, {\"cell\": \"33\", \"bbox\": [133, 423, 143, 432]}, {\"cell\": \"27.1\", \"bbox\": [210, 423, 225, 432]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 437, 18, 446]}, {\"cell\": \"31\", \"bbox\": [133, 437, 143, 446]}, {\"cell\": \"25.4\", \"bbox\": [210, 437, 225, 446]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 451, 51, 460]}, {\"cell\": \"23\", \"bbox\": [133, 451, 143, 460]}, {\"cell\": \"18.8\", \"bbox\": [210, 451, 225, 460]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 465, 95, 474]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 479, 28, 488]}, {\"cell\": \"108\", \"bbox\": [133, 479, 147, 488]}, {\"cell\": \"88.5\", \"bbox\": [210, 479, 225, 488]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 493, 58, 502]}, {\"cell\": \"11\", \"bbox\": [133, 493, 143, 502]}, {\"cell\": \"9.0\", \"bbox\": [210, 493, 221, 502]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 507, 45, 516]}, {\"cell\": \"3\", \"bbox\": [133, 507, 139, 516]}, {\"cell\": \"2.5\", \"bbox\": [210, 507, 221, 516]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 521, 43, 530]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 535, 37, 544]}, {\"cell\": \"87\", \"bbox\": [133, 535, 143, 544]}, {\"cell\": \"71.3\", \"bbox\": [210, 535, 225, 544]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 549, 37, 558]}, {\"cell\": \"35\", \"bbox\": [133, 549, 143, 558]}, {\"cell\": \"28.7\", \"bbox\": [210, 549, 225, 558]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4743109_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Analysis MethodOverall (n = 33,798)Men (n = 11,484)Women (n = 22,314)Reported HIV-Negative Result (n = 15,946)Reported HIV-Positive Result (n = 2,483)Refused to Disclose HIV Test Result (n = 1,011)Never Tested (n = 14,358)
%SE%SE%SE%SE%SE%SE%SE
Complete-case analysisb17.10.212.50.419.40.38.80.397.00.436.02.0[EMPTY_CELL]0.3
Worst-case imputationc43.50.341.50.544.50.334.60.498.20.365.11.5[EMPTY_CELL]0.4
Best-case imputationd11.70.28.30.313.40.26.30.259.71.019.61.2[EMPTY_CELL]0.2
Multiple imputation under MAR[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Model Ae17.40.312.80.419.80.311.40.369.11.129.11.8[EMPTY_CELL]0.3
Model Bf17.40.312.80.419.80.311.40.369.31.129.11.7[EMPTY_CELL]0.4
Model Cg17.50.212.80.419.90.311.10.374.41.130.11.6[EMPTY_CELL]0.3
Model Dh18.10.213.40.420.60.38.80.396.90.436.02.0[EMPTY_CELL]0.3
\", \"cells\": [{\"cell\": \"Analysis Method\", \"bbox\": [35, 19, 92, 27]}, {\"cell\": \"Overall (n = 33,798)\", \"bbox\": [144, 8, 185, 25]}, {\"cell\": \"Men (n = 11,484)\", \"bbox\": [216, 8, 257, 25]}, {\"cell\": \"Women (n = 22,314)\", \"bbox\": [288, 8, 329, 25]}, {\"cell\": \"Reported HIV-Negative Result (n = 15,946)\", \"bbox\": [358, 4, 412, 29]}, {\"cell\": \"Reported HIV-Positive Result (n = 2,483)\", \"bbox\": [441, 4, 492, 29]}, {\"cell\": \"Refused to Disclose HIV Test Result (n = 1,011)\", \"bbox\": [518, 4, 578, 29]}, {\"cell\": \"Never Tested (n = 14,358)\", \"bbox\": [602, 8, 647, 25]}, {\"cell\": \"%\", \"bbox\": [144, 33, 152, 42]}, {\"cell\": \"SE\", \"bbox\": [178, 33, 190, 42]}, {\"cell\": \"%\", \"bbox\": [216, 33, 224, 42]}, {\"cell\": \"SE\", \"bbox\": [250, 33, 261, 42]}, {\"cell\": \"%\", \"bbox\": [288, 33, 296, 42]}, {\"cell\": \"SE\", \"bbox\": [322, 33, 333, 42]}, {\"cell\": \"%\", \"bbox\": [361, 33, 369, 42]}, {\"cell\": \"SE\", \"bbox\": [400, 33, 411, 42]}, {\"cell\": \"%\", \"bbox\": [442, 33, 450, 42]}, {\"cell\": \"SE\", \"bbox\": [481, 33, 493, 42]}, {\"cell\": \"%\", \"bbox\": [524, 33, 532, 42]}, {\"cell\": \"SE\", \"bbox\": [563, 33, 574, 42]}, {\"cell\": \"%\", \"bbox\": [604, 33, 612, 42]}, {\"cell\": \"SE\", \"bbox\": [638, 33, 649, 42]}, {\"cell\": \"Complete-case analysisb\", \"bbox\": [8, 45, 98, 56]}, {\"cell\": \"17.1\", \"bbox\": [139, 47, 157, 56]}, {\"cell\": \"0.2\", \"bbox\": [177, 47, 190, 56]}, {\"cell\": \"12.5\", \"bbox\": [211, 47, 229, 56]}, {\"cell\": \"0.4\", \"bbox\": [249, 47, 262, 56]}, {\"cell\": \"19.4\", \"bbox\": [283, 47, 300, 56]}, {\"cell\": \"0.3\", \"bbox\": [321, 47, 334, 56]}, {\"cell\": \"8.8\", \"bbox\": [361, 47, 374, 56]}, {\"cell\": \"0.3\", \"bbox\": [399, 47, 412, 56]}, {\"cell\": \"97.0\", \"bbox\": [438, 47, 455, 56]}, {\"cell\": \"0.4\", \"bbox\": [481, 47, 493, 56]}, {\"cell\": \"36.0\", \"bbox\": [519, 47, 536, 56]}, {\"cell\": \"2.0\", \"bbox\": [562, 47, 575, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [599, 47, 616, 56]}, {\"cell\": \"0.3\", \"bbox\": [637, 47, 650, 56]}, {\"cell\": \"Worst-case imputationc\", \"bbox\": [8, 58, 92, 69]}, {\"cell\": \"43.5\", \"bbox\": [139, 60, 157, 69]}, {\"cell\": \"0.3\", \"bbox\": [177, 60, 190, 69]}, {\"cell\": \"41.5\", \"bbox\": [211, 60, 229, 69]}, {\"cell\": \"0.5\", \"bbox\": [249, 60, 262, 69]}, {\"cell\": \"44.5\", \"bbox\": [283, 60, 300, 69]}, {\"cell\": \"0.3\", \"bbox\": [321, 60, 334, 69]}, {\"cell\": \"34.6\", \"bbox\": [356, 60, 374, 69]}, {\"cell\": \"0.4\", \"bbox\": [399, 60, 412, 69]}, {\"cell\": \"98.2\", \"bbox\": [438, 60, 455, 69]}, {\"cell\": \"0.3\", \"bbox\": [481, 60, 493, 69]}, {\"cell\": \"65.1\", \"bbox\": [519, 60, 536, 69]}, {\"cell\": \"1.5\", \"bbox\": [562, 60, 575, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [599, 60, 616, 69]}, {\"cell\": \"0.4\", \"bbox\": [637, 60, 650, 69]}, {\"cell\": \"Best-case imputationd\", \"bbox\": [8, 71, 88, 82]}, {\"cell\": \"11.7\", \"bbox\": [139, 73, 157, 82]}, {\"cell\": \"0.2\", \"bbox\": [177, 73, 190, 82]}, {\"cell\": \"8.3\", \"bbox\": [216, 73, 229, 82]}, {\"cell\": \"0.3\", \"bbox\": [249, 73, 262, 82]}, {\"cell\": \"13.4\", \"bbox\": [283, 73, 300, 82]}, {\"cell\": \"0.2\", \"bbox\": [321, 73, 334, 82]}, {\"cell\": \"6.3\", \"bbox\": [361, 73, 374, 82]}, {\"cell\": \"0.2\", \"bbox\": [399, 73, 412, 82]}, {\"cell\": \"59.7\", \"bbox\": [438, 73, 455, 82]}, {\"cell\": \"1.0\", \"bbox\": [481, 73, 493, 82]}, {\"cell\": \"19.6\", \"bbox\": [519, 73, 536, 82]}, {\"cell\": \"1.2\", \"bbox\": [562, 73, 575, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [603, 73, 616, 82]}, {\"cell\": \"0.2\", \"bbox\": [637, 73, 650, 82]}, {\"cell\": \"Multiple imputation under MAR\", \"bbox\": [8, 86, 119, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Model Ae\", \"bbox\": [16, 97, 51, 108]}, {\"cell\": \"17.4\", \"bbox\": [139, 99, 157, 108]}, {\"cell\": \"0.3\", \"bbox\": [177, 99, 190, 108]}, {\"cell\": \"12.8\", \"bbox\": [211, 99, 229, 108]}, {\"cell\": \"0.4\", \"bbox\": [249, 99, 262, 108]}, {\"cell\": \"19.8\", \"bbox\": [283, 99, 300, 108]}, {\"cell\": \"0.3\", \"bbox\": [321, 99, 334, 108]}, {\"cell\": \"11.4\", \"bbox\": [356, 99, 374, 108]}, {\"cell\": \"0.3\", \"bbox\": [399, 99, 412, 108]}, {\"cell\": \"69.1\", \"bbox\": [438, 99, 455, 108]}, {\"cell\": \"1.1\", \"bbox\": [481, 99, 493, 108]}, {\"cell\": \"29.1\", \"bbox\": [519, 99, 536, 108]}, {\"cell\": \"1.8\", \"bbox\": [562, 99, 575, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [599, 99, 616, 108]}, {\"cell\": \"0.3\", \"bbox\": [637, 99, 650, 108]}, {\"cell\": \" Model Bf\", \"bbox\": [16, 110, 49, 121]}, {\"cell\": \"17.4\", \"bbox\": [139, 112, 157, 121]}, {\"cell\": \"0.3\", \"bbox\": [177, 112, 190, 121]}, {\"cell\": \"12.8\", \"bbox\": [211, 112, 229, 121]}, {\"cell\": \"0.4\", \"bbox\": [249, 112, 262, 121]}, {\"cell\": \"19.8\", \"bbox\": [283, 112, 300, 121]}, {\"cell\": \"0.3\", \"bbox\": [321, 112, 334, 121]}, {\"cell\": \"11.4\", \"bbox\": [356, 112, 374, 121]}, {\"cell\": \"0.3\", \"bbox\": [399, 112, 412, 121]}, {\"cell\": \"69.3\", \"bbox\": [438, 112, 455, 121]}, {\"cell\": \"1.1\", \"bbox\": [481, 112, 493, 121]}, {\"cell\": \"29.1\", \"bbox\": [519, 112, 536, 121]}, {\"cell\": \"1.7\", \"bbox\": [562, 112, 575, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [599, 112, 616, 121]}, {\"cell\": \"0.4\", \"bbox\": [637, 112, 650, 121]}, {\"cell\": \" Model Cg\", \"bbox\": [16, 123, 51, 134]}, {\"cell\": \"17.5\", \"bbox\": [139, 125, 157, 134]}, {\"cell\": \"0.2\", \"bbox\": [177, 125, 190, 134]}, {\"cell\": \"12.8\", \"bbox\": [211, 125, 229, 134]}, {\"cell\": \"0.4\", \"bbox\": [249, 125, 262, 134]}, {\"cell\": \"19.9\", \"bbox\": [283, 125, 300, 134]}, {\"cell\": \"0.3\", \"bbox\": [321, 125, 334, 134]}, {\"cell\": \"11.1\", \"bbox\": [356, 125, 374, 134]}, {\"cell\": \"0.3\", \"bbox\": [399, 125, 412, 134]}, {\"cell\": \"74.4\", \"bbox\": [438, 125, 455, 134]}, {\"cell\": \"1.1\", \"bbox\": [481, 125, 493, 134]}, {\"cell\": \"30.1\", \"bbox\": [519, 125, 536, 134]}, {\"cell\": \"1.6\", \"bbox\": [562, 125, 575, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [599, 125, 616, 134]}, {\"cell\": \"0.3\", \"bbox\": [637, 125, 650, 134]}, {\"cell\": \" Model Dh\", \"bbox\": [16, 136, 51, 147]}, {\"cell\": \"18.1\", \"bbox\": [139, 138, 157, 147]}, {\"cell\": \"0.2\", \"bbox\": [177, 138, 190, 147]}, {\"cell\": \"13.4\", \"bbox\": [211, 138, 229, 147]}, {\"cell\": \"0.4\", \"bbox\": [249, 138, 262, 147]}, {\"cell\": \"20.6\", \"bbox\": [283, 138, 300, 147]}, {\"cell\": \"0.3\", \"bbox\": [321, 138, 334, 147]}, {\"cell\": \"8.8\", \"bbox\": [361, 138, 374, 147]}, {\"cell\": \"0.3\", \"bbox\": [399, 138, 412, 147]}, {\"cell\": \"96.9\", \"bbox\": [438, 138, 455, 147]}, {\"cell\": \"0.4\", \"bbox\": [481, 138, 493, 147]}, {\"cell\": \"36.0\", \"bbox\": [519, 138, 536, 147]}, {\"cell\": \"2.0\", \"bbox\": [562, 138, 575, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [599, 138, 616, 147]}, {\"cell\": \"0.3\", \"bbox\": [637, 138, 650, 147]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5860630_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Related toFactorEffect on systolic blood pressure (mmHg)Effect on diastolic blood pressure (mmHg)
Environment in which measurement is conducted[EMPTY_CELL]⇑ 14 mmHg⇑ 15 mmHg
Person being measured[EMPTY_CELL]⇑ 10–15 mmHg, in case of uncomfortably distended bladder⇑ 10 mmHg, in case of uncomfortably distended bladder ⇑ 40 mmHg
⇑ 50 mmHg
Heavy physical exercise before measurement [3][EMPTY_CELL]⇓ 7–9 mmHg
Heavy meal before measurement [3][EMPTY_CELL]⇓ 20 mmHg
Smoking before measurement [3][EMPTY_CELL]⇑ 8 mmHg
Measurement procedure[EMPTY_CELL]⇑ 10–20 mmHg⇑ 14 mmHg
Left arm vs. right arm [6][EMPTY_CELL]⇑ 1 mmHg
Supine vs. sitting [7][EMPTY_CELL]⇑ 1–5 mmHg
Back/feet unsupported vs. supported [4][EMPTY_CELL]⇑ 6 mmHg
Arm unsupported during the measurement vs. arm supported [4,11][EMPTY_CELL]⇑ 5–11 mmHg
Legs crossed vs. not crossed [8][EMPTY_CELL]⇑ 3–5 mmHg
Talking during the measurement vs. silent [4,12][EMPTY_CELL]⇑ 13 mmHg
Arm below heart level vs. arm at the heart level [9-11][EMPTY_CELL]⇑ 10 mmHg
Cuff over clothing vs. cuff on bare arm [4][EMPTY_CELL]not reported
Device[EMPTY_CELL]⇓ 10–30 mmHg⇓ 10–30 mmHg
Cuff too small [11][EMPTY_CELL]⇑ 2–8 mmHg, in obese persons
⇑ 30 mmHg[EMPTY_CELL]
Diaphragm of stethoscope vs. bell (auscultation method used) [16,17][EMPTY_CELL]⇓ 0–2 mmHg
[EMPTY_CELL][EMPTY_CELL]0–5 mmHg0–5 mmH
\", \"cells\": [{\"cell\": \"Related to\", \"bbox\": [1, 4, 38, 13]}, {\"cell\": \"Factor\", \"bbox\": [94, 4, 118, 13]}, {\"cell\": \"Effect on systolic blood pressure (mmHg)\", \"bbox\": [245, 4, 328, 22]}, {\"cell\": \"Effect on diastolic blood pressure (mmHg)\", \"bbox\": [358, 4, 445, 22]}, {\"cell\": \"Environment in which measurement is conducted\", \"bbox\": [1, 26, 90, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [94, 26, 202, 45]}, {\"cell\": \"⇑ 14 mmHg\", \"bbox\": [245, 26, 287, 36]}, {\"cell\": \"⇑ 15 mmHg\", \"bbox\": [358, 26, 401, 36]}, {\"cell\": \"Person being measured\", \"bbox\": [1, 49, 79, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [94, 49, 150, 59]}, {\"cell\": \"⇑ 10–15 mmHg, in case of uncomfortably distended bladder\", \"bbox\": [245, 49, 354, 68]}, {\"cell\": \"⇑ 10 mmHg, in case of uncomfortably distended bladder ⇑ 40 mmHg\", \"bbox\": [358, 49, 484, 68]}, {\"cell\": \"⇑ 50 mmHg\", \"bbox\": [245, 72, 287, 82]}, {\"cell\": \"Heavy physical exercise before measurement [3]\", \"bbox\": [94, 86, 194, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [245, 86, 299, 96]}, {\"cell\": \"⇓ 7–9 mmHg\", \"bbox\": [358, 86, 405, 96]}, {\"cell\": \"Heavy meal before measurement [3]\", \"bbox\": [94, 109, 214, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [245, 109, 287, 119]}, {\"cell\": \"⇓ 20 mmHg\", \"bbox\": [358, 109, 401, 119]}, {\"cell\": \"Smoking before measurement [3]\", \"bbox\": [94, 123, 204, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [245, 123, 287, 133]}, {\"cell\": \"⇑ 8 mmHg\", \"bbox\": [358, 123, 397, 133]}, {\"cell\": \"Measurement procedure\", \"bbox\": [1, 137, 81, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [94, 137, 201, 156]}, {\"cell\": \"⇑ 10–20 mmHg\", \"bbox\": [245, 137, 299, 147]}, {\"cell\": \"⇑ 14 mmHg\", \"bbox\": [358, 137, 401, 147]}, {\"cell\": \"Left arm vs. right arm [6]\", \"bbox\": [94, 160, 176, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [245, 160, 291, 170]}, {\"cell\": \"⇑ 1 mmHg\", \"bbox\": [358, 160, 397, 170]}, {\"cell\": \"Supine vs. sitting [7]\", \"bbox\": [94, 174, 161, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [245, 174, 295, 184]}, {\"cell\": \"⇑ 1–5 mmHg\", \"bbox\": [358, 174, 405, 184]}, {\"cell\": \"Back/feet unsupported vs. supported [4]\", \"bbox\": [94, 188, 225, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [245, 188, 295, 198]}, {\"cell\": \"⇑ 6 mmHg\", \"bbox\": [358, 188, 397, 198]}, {\"cell\": \"Arm unsupported during the measurement vs. arm supported [4,11]\", \"bbox\": [94, 202, 236, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [245, 202, 291, 212]}, {\"cell\": \"⇑ 5–11 mmHg\", \"bbox\": [358, 202, 409, 212]}, {\"cell\": \"Legs crossed vs. not crossed [8]\", \"bbox\": [94, 225, 198, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [245, 225, 291, 235]}, {\"cell\": \"⇑ 3–5 mmHg\", \"bbox\": [358, 225, 405, 235]}, {\"cell\": \"Talking during the measurement vs. silent [4,12]\", \"bbox\": [94, 239, 212, 258]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [245, 239, 287, 249]}, {\"cell\": \"⇑ 13 mmHg\", \"bbox\": [358, 239, 401, 249]}, {\"cell\": \"Arm below heart level vs. arm at the heart level [9-11]\", \"bbox\": [94, 262, 214, 281]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [245, 262, 287, 272]}, {\"cell\": \"⇑ 10 mmHg\", \"bbox\": [358, 262, 401, 272]}, {\"cell\": \"Cuff over clothing vs. cuff on bare arm [4]\", \"bbox\": [94, 285, 231, 295]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [245, 285, 283, 295]}, {\"cell\": \"not reported\", \"bbox\": [358, 285, 401, 295]}, {\"cell\": \"Device\", \"bbox\": [1, 299, 24, 309]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [94, 299, 155, 309]}, {\"cell\": \"⇓ 10–30 mmHg\", \"bbox\": [245, 299, 299, 309]}, {\"cell\": \"⇓ 10–30 mmHg\", \"bbox\": [358, 299, 412, 309]}, {\"cell\": \"Cuff too small [11]\", \"bbox\": [94, 313, 155, 323]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [245, 313, 353, 323]}, {\"cell\": \"⇑ 2–8 mmHg, in obese persons\", \"bbox\": [358, 313, 463, 323]}, {\"cell\": \"⇑ 30 mmHg\", \"bbox\": [245, 327, 287, 337]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [358, 327, 401, 337]}, {\"cell\": \"Diaphragm of stethoscope vs. bell (auscultation method used) [16,17]\", \"bbox\": [94, 341, 208, 360]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [245, 341, 291, 351]}, {\"cell\": \"⇓ 0–2 mmHg\", \"bbox\": [358, 341, 405, 351]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [94, 364, 171, 374]}, {\"cell\": \"0–5 mmHg\", \"bbox\": [245, 364, 283, 374]}, {\"cell\": \"0–5 mmH\", \"bbox\": [358, 364, 392, 374]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4403933_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]number of families tested: LFS/LFL/suggestivetotal CHEK2 analysisCHEK2 1100delC analysis + DNA rearrangementsmutations found
Allinen et al. [11][EMPTY_CELL]210p.Ile157Thr
Bell et al. [10][EMPTY_CELL]220c.1100delCp.Ile157Thr
Bougeard et al. [12][EMPTY_CELL]40-
Lee et al. [13][EMPTY_CELL]590p.Arg145Trpp.Arg3Trpp.Ile157Thr
Siddiqui et al. [16][EMPTY_CELL]015-
Sodha et al. [15][EMPTY_CELL]260IVS5-11G>Ac.483-485delAGA
Vahteristo et al. [14][EMPTY_CELL]390c.1100delC
Walsh et al. [16][EMPTY_CELL]10[EMPTY_CELL]-
our results[EMPTY_CELL]3431p.Phe328Serc.1100delCc.1081-?_1771+?del
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"number of families tested: LFS/LFL/suggestive\", \"bbox\": [77, 5, 199, 23]}, {\"cell\": \"total CHEK2 analysis\", \"bbox\": [208, 5, 289, 14]}, {\"cell\": \"CHEK2 1100delC analysis + DNA rearrangements\", \"bbox\": [295, 5, 403, 23]}, {\"cell\": \"mutations found\", \"bbox\": [430, 5, 495, 14]}, {\"cell\": \"Allinen et al. [11]\", \"bbox\": [4, 36, 61, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 36, 100, 46]}, {\"cell\": \"21\", \"bbox\": [208, 36, 218, 46]}, {\"cell\": \"0\", \"bbox\": [295, 36, 301, 46]}, {\"cell\": \"p.Ile157Thr\", \"bbox\": [430, 36, 470, 46]}, {\"cell\": \"Bell et al. [10]\", \"bbox\": [4, 58, 51, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 58, 97, 68]}, {\"cell\": \"22\", \"bbox\": [208, 58, 218, 68]}, {\"cell\": \"0\", \"bbox\": [295, 58, 301, 68]}, {\"cell\": \"c.1100delCp.Ile157Thr\", \"bbox\": [430, 58, 470, 77]}, {\"cell\": \"Bougeard et al. [12]\", \"bbox\": [4, 90, 69, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 90, 96, 99]}, {\"cell\": \"4\", \"bbox\": [208, 90, 214, 99]}, {\"cell\": \"0\", \"bbox\": [295, 90, 301, 99]}, {\"cell\": \"-\", \"bbox\": [430, 90, 435, 99]}, {\"cell\": \"Lee et al. [13]\", \"bbox\": [4, 112, 51, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 112, 101, 122]}, {\"cell\": \"59\", \"bbox\": [208, 112, 219, 122]}, {\"cell\": \"0\", \"bbox\": [295, 112, 301, 122]}, {\"cell\": \"p.Arg145Trpp.Arg3Trpp.Ile157Thr\", \"bbox\": [430, 112, 475, 140]}, {\"cell\": \"Siddiqui et al. [16]\", \"bbox\": [4, 153, 64, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 153, 100, 162]}, {\"cell\": \"0\", \"bbox\": [208, 153, 214, 162]}, {\"cell\": \"15\", \"bbox\": [295, 153, 305, 162]}, {\"cell\": \"-\", \"bbox\": [430, 153, 435, 162]}, {\"cell\": \"Sodha et al. [15]\", \"bbox\": [4, 175, 59, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 175, 100, 185]}, {\"cell\": \"26\", \"bbox\": [208, 175, 219, 185]}, {\"cell\": \"0\", \"bbox\": [295, 175, 301, 185]}, {\"cell\": \"IVS5-11G>Ac.483-485delAGA\", \"bbox\": [430, 175, 492, 194]}, {\"cell\": \"Vahteristo et al. [14]\", \"bbox\": [4, 206, 71, 216]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 206, 100, 216]}, {\"cell\": \"39\", \"bbox\": [208, 206, 219, 216]}, {\"cell\": \"0\", \"bbox\": [295, 206, 301, 216]}, {\"cell\": \"c.1100delC\", \"bbox\": [430, 206, 470, 216]}, {\"cell\": \"Walsh et al. [16]\", \"bbox\": [4, 229, 60, 238]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 229, 96, 238]}, {\"cell\": \"10\", \"bbox\": [208, 229, 219, 238]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"-\", \"bbox\": [430, 229, 435, 238]}, {\"cell\": \"our results\", \"bbox\": [4, 251, 43, 261]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 251, 104, 261]}, {\"cell\": \"34\", \"bbox\": [208, 251, 219, 261]}, {\"cell\": \"31\", \"bbox\": [295, 251, 305, 261]}, {\"cell\": \"p.Phe328Serc.1100delCc.1081-?_1771+?del\", \"bbox\": [430, 251, 497, 279]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2664322_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariablesTownsendCarstairsHavardRey
Unemployment rateX[EMPTY_CELL]XX
Proportion of unemployed people > 1 y[EMPTY_CELL][EMPTY_CELL]X[EMPTY_CELL]
Proportion of households without a carX[EMPTY_CELL]X[EMPTY_CELL]
Proportions of households with ≥ 2 cars[EMPTY_CELL][EMPTY_CELL]X[EMPTY_CELL]
Primary residences with > 1 person/roomX[EMPTY_CELL]X[EMPTY_CELL]
Mean number of people/room[EMPTY_CELL][EMPTY_CELL]X[EMPTY_CELL]
Blue-collar workers in the labour force[EMPTY_CELL][EMPTY_CELL]XX
People ≥ 15 years old with only elementary education[EMPTY_CELL][EMPTY_CELL]X[EMPTY_CELL]
People ≥ 15 years old with at least high-school diploma[EMPTY_CELL][EMPTY_CELL]XX
People ≥ 15 years old with university graduation[EMPTY_CELL][EMPTY_CELL]X[EMPTY_CELL]
People with permanent work contracts[EMPTY_CELL][EMPTY_CELL]X[EMPTY_CELL]
People with non-permanent work contracts[EMPTY_CELL][EMPTY_CELL]X[EMPTY_CELL]
Households owners of their primary residenceX[EMPTY_CELL]X[EMPTY_CELL]
Subsidised housing among primary residences[EMPTY_CELL][EMPTY_CELL]X[EMPTY_CELL]
Primary residences that are houses or farms[EMPTY_CELL][EMPTY_CELL]X[EMPTY_CELL]
Primary residences that are multiple-dwelling units[EMPTY_CELL][EMPTY_CELL]X[EMPTY_CELL]
Single-parent families[EMPTY_CELL][EMPTY_CELL]X[EMPTY_CELL]
Foreigners in total population[EMPTY_CELL][EMPTY_CELL]X[EMPTY_CELL]
Median income per consumption unit or household[EMPTY_CELL][EMPTY_CELL]XX
\", \"cells\": [{\"cell\": \"Variables\", \"bbox\": [1, 4, 34, 13]}, {\"cell\": \"Townsend\", \"bbox\": [230, 4, 267, 13]}, {\"cell\": \"Carstairs\", \"bbox\": [315, 4, 347, 13]}, {\"cell\": \"Havard\", \"bbox\": [395, 4, 422, 13]}, {\"cell\": \"Rey\", \"bbox\": [470, 4, 484, 13]}, {\"cell\": \"Unemployment rate\", \"bbox\": [1, 17, 67, 27]}, {\"cell\": \"X\", \"bbox\": [245, 17, 252, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [328, 17, 334, 27]}, {\"cell\": \"X\", \"bbox\": [405, 17, 412, 27]}, {\"cell\": \"X\", \"bbox\": [474, 17, 480, 27]}, {\"cell\": \"Proportion of unemployed people > 1 y\", \"bbox\": [1, 31, 130, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [405, 31, 412, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Proportion of households without a car\", \"bbox\": [1, 45, 129, 55]}, {\"cell\": \"X\", \"bbox\": [245, 45, 252, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [328, 45, 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{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [328, 101, 334, 111]}, {\"cell\": \"X\", \"bbox\": [405, 101, 412, 111]}, {\"cell\": \"X\", \"bbox\": [474, 101, 480, 111]}, {\"cell\": \"People ≥ 15 years old with only elementary education\", \"bbox\": [1, 115, 176, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [405, 115, 412, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"People ≥ 15 years old with at least high-school diploma\", \"bbox\": [0, 129, 182, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [405, 129, 412, 139]}, {\"cell\": \"X\", \"bbox\": [474, 129, 480, 139]}, {\"cell\": \"People ≥ 15 years old with university graduation\", \"bbox\": [0, 143, 158, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [405, 143, 412, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"People with permanent work contracts\", \"bbox\": [0, 157, 128, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [405, 157, 412, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"People with non-permanent work contracts\", \"bbox\": [0, 171, 143, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [405, 171, 412, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Households owners of their primary residence\", \"bbox\": [0, 185, 151, 195]}, {\"cell\": \"X\", \"bbox\": [245, 185, 252, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [405, 185, 412, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Subsidised housing among primary residences\", \"bbox\": [0, 199, 152, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [405, 199, 412, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Primary residences that are houses or farms\", \"bbox\": [0, 213, 143, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [405, 213, 412, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Primary residences that are multiple-dwelling units\", \"bbox\": [0, 227, 165, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [405, 227, 412, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Single-parent families\", \"bbox\": [0, 241, 71, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [405, 241, 412, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Foreigners in total population\", \"bbox\": [0, 255, 98, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [405, 255, 412, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Median income per consumption unit or household\", \"bbox\": [0, 269, 170, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [405, 269, 412, 279]}, {\"cell\": \"X\", \"bbox\": [474, 269, 480, 279]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4063986_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]HeadEye/Ear/FaceChest/BackUpper LimbLower LimbOtherTotal
[EMPTY_CELL]0.80.80.82.550.810.7
[EMPTY_CELL]5.83.30.828.118.20.857.0
[EMPTY_CELL]2.50.80.83.350.813.2
[EMPTY_CELL]0002.5002.5
[EMPTY_CELL]00.8003.30.84.9
[EMPTY_CELL]000.80.800.82.4
[EMPTY_CELL]02.52.50.803.39.1
[EMPTY_CELL]9.18.25.73831.57.3100
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Head\", \"bbox\": [97, 6, 122, 17]}, {\"cell\": \"Eye/Ear/Face\", \"bbox\": [146, 6, 206, 17]}, {\"cell\": \"Chest/Back\", \"bbox\": [229, 6, 280, 17]}, {\"cell\": \"Upper Limb\", \"bbox\": [303, 6, 332, 32]}, {\"cell\": \"Lower Limb\", \"bbox\": [355, 6, 385, 32]}, {\"cell\": \"Other\", \"bbox\": [408, 6, 436, 17]}, {\"cell\": \"Total\", \"bbox\": [461, 6, 485, 17]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [35, 44, 80, 55]}, {\"cell\": \"0.8\", \"bbox\": [102, 43, 117, 55]}, {\"cell\": \"0.8\", \"bbox\": [169, 43, 184, 55]}, {\"cell\": \"0.8\", \"bbox\": [247, 43, 262, 55]}, {\"cell\": \"2.5\", \"bbox\": [310, 43, 325, 55]}, {\"cell\": \"5\", \"bbox\": [366, 43, 373, 55]}, {\"cell\": \"0.8\", \"bbox\": [415, 43, 429, 55]}, {\"cell\": \"10.7\", \"bbox\": [463, 44, 483, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [27, 72, 80, 83]}, {\"cell\": \"5.8\", \"bbox\": [102, 72, 117, 83]}, {\"cell\": \"3.3\", \"bbox\": [169, 72, 184, 83]}, {\"cell\": \"0.8\", \"bbox\": [247, 72, 262, 83]}, {\"cell\": \"28.1\", \"bbox\": [308, 72, 327, 83]}, {\"cell\": \"18.2\", \"bbox\": [360, 72, 380, 83]}, {\"cell\": \"0.8\", \"bbox\": [415, 72, 429, 83]}, {\"cell\": \"57.0\", \"bbox\": [463, 72, 483, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [39, 94, 80, 120]}, {\"cell\": \"2.5\", \"bbox\": [102, 102, 117, 113]}, {\"cell\": \"0.8\", \"bbox\": [169, 102, 184, 113]}, {\"cell\": \"0.8\", \"bbox\": [247, 102, 262, 113]}, {\"cell\": \"3.3\", \"bbox\": [310, 102, 325, 113]}, {\"cell\": \"5\", \"bbox\": [366, 102, 373, 113]}, {\"cell\": \"0.8\", \"bbox\": [415, 102, 429, 113]}, {\"cell\": \"13.2\", \"bbox\": [463, 102, 483, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [22, 131, 80, 142]}, {\"cell\": \"0\", \"bbox\": [106, 131, 113, 142]}, {\"cell\": \"0\", \"bbox\": [173, 131, 180, 142]}, {\"cell\": \"0\", \"bbox\": [251, 131, 258, 142]}, {\"cell\": \"2.5\", \"bbox\": [310, 131, 325, 142]}, {\"cell\": \"0\", \"bbox\": [366, 131, 373, 142]}, {\"cell\": \"0\", \"bbox\": [418, 131, 425, 142]}, {\"cell\": \"2.5\", \"bbox\": [466, 131, 480, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [26, 160, 80, 171]}, {\"cell\": \"0\", \"bbox\": [106, 160, 113, 171]}, {\"cell\": \"0.8\", \"bbox\": [169, 160, 184, 171]}, {\"cell\": \"0\", \"bbox\": [251, 160, 258, 171]}, {\"cell\": \"0\", \"bbox\": [314, 160, 321, 171]}, {\"cell\": \"3.3\", \"bbox\": [363, 160, 377, 171]}, {\"cell\": \"0.8\", \"bbox\": [415, 160, 429, 171]}, {\"cell\": \"4.9\", \"bbox\": [466, 160, 480, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [36, 189, 80, 200]}, {\"cell\": \"0\", \"bbox\": [106, 189, 113, 200]}, {\"cell\": \"0\", \"bbox\": [173, 189, 180, 200]}, {\"cell\": \"0.8\", \"bbox\": [247, 189, 262, 200]}, {\"cell\": \"0.8\", \"bbox\": [310, 189, 325, 200]}, {\"cell\": \"0\", \"bbox\": [366, 189, 373, 200]}, {\"cell\": \"0.8\", \"bbox\": [415, 189, 429, 200]}, {\"cell\": \"2.4\", \"bbox\": [466, 189, 480, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [52, 218, 80, 229]}, {\"cell\": \"0\", \"bbox\": [106, 217, 113, 229]}, {\"cell\": \"2.5\", \"bbox\": [169, 217, 184, 229]}, {\"cell\": \"2.5\", \"bbox\": [247, 217, 262, 229]}, {\"cell\": \"0.8\", \"bbox\": [310, 217, 325, 229]}, {\"cell\": \"0\", \"bbox\": [366, 217, 373, 229]}, {\"cell\": \"3.3\", \"bbox\": [415, 217, 429, 229]}, {\"cell\": \"9.1\", \"bbox\": [466, 218, 480, 229]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [55, 246, 80, 257]}, {\"cell\": \"9.1\", \"bbox\": [102, 246, 117, 257]}, {\"cell\": \"8.2\", \"bbox\": [169, 246, 184, 257]}, {\"cell\": \"5.7\", \"bbox\": [247, 246, 262, 257]}, {\"cell\": \"38\", \"bbox\": [312, 246, 324, 257]}, {\"cell\": \"31.5\", \"bbox\": [360, 246, 380, 257]}, {\"cell\": \"7.3\", \"bbox\": [415, 246, 429, 257]}, {\"cell\": \"100\", \"bbox\": [464, 246, 482, 257]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4515700_009_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Factors correlated to tooth wear severityStatistical methodP value
AgePearson[EMPTY_CELL]
GenderPearson[EMPTY_CELL]
Systemic diseaseKruskal-Wallis[EMPTY_CELL]
Number of remaining teethPearson[EMPTY_CELL]
Acidic diet and drinksPearson[EMPTY_CELL]
Bruxism and parafunctionMann-Whitney[EMPTY_CELL]
Biting objectsMann-Whitney[EMPTY_CELL]
Facial pain or tendernessMann-Whitney[EMPTY_CELL]
TMJ problemsMann-Whitney[EMPTY_CELL]
Sour taste in the mouthMann-Whitney[EMPTY_CELL]
Occupational riskMann-Whitney[EMPTY_CELL]
Exposure to dustMann-Whitney[EMPTY_CELL]
Unilateral chewingMann-Whitney[EMPTY_CELL]
Using dental abrasivesPearson[EMPTY_CELL]
Using mouth rinsePearson[EMPTY_CELL]
Intake of acidic medicationsMann-Whitney[EMPTY_CELL]
Drinking alcoholPearson[EMPTY_CELL]
Brushing:[EMPTY_CELL][EMPTY_CELL]
FrequencyPearson[EMPTY_CELL]
TechniqueKruskal-Wallis[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Factors correlated to tooth wear severity\", \"bbox\": [2, 4, 99, 25]}, {\"cell\": \"Statistical method\", \"bbox\": [123, 9, 189, 19]}, {\"cell\": \"P value\", \"bbox\": [213, 9, 241, 19]}, {\"cell\": \"Age\", \"bbox\": [2, 28, 18, 38]}, {\"cell\": \"Pearson\", \"bbox\": [141, 28, 171, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 28, 237, 38]}, {\"cell\": \"Gender\", \"bbox\": [2, 41, 31, 51]}, {\"cell\": \"Pearson\", \"bbox\": [141, 41, 171, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 41, 233, 51]}, {\"cell\": \"Systemic disease\", \"bbox\": [2, 54, 63, 64]}, {\"cell\": \"Kruskal-Wallis\", \"bbox\": [129, 54, 183, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 54, 237, 64]}, {\"cell\": \"Number of remaining teeth\", \"bbox\": [2, 67, 103, 77]}, {\"cell\": \"Pearson\", \"bbox\": [141, 67, 171, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 67, 237, 77]}, {\"cell\": \"Acidic diet and drinks\", \"bbox\": [2, 80, 83, 90]}, {\"cell\": \"Pearson\", \"bbox\": [141, 80, 171, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 80, 237, 90]}, {\"cell\": \"Bruxism and parafunction\", \"bbox\": [2, 93, 99, 103]}, {\"cell\": \"Mann-Whitney\", \"bbox\": [127, 93, 185, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 93, 237, 103]}, {\"cell\": \"Biting objects\", \"bbox\": [2, 106, 53, 116]}, {\"cell\": \"Mann-Whitney\", \"bbox\": [127, 106, 185, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 106, 237, 116]}, {\"cell\": \"Facial pain or tenderness\", \"bbox\": [2, 119, 93, 129]}, {\"cell\": \"Mann-Whitney\", \"bbox\": [127, 119, 185, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 119, 237, 129]}, {\"cell\": \"TMJ problems\", \"bbox\": [2, 132, 57, 142]}, {\"cell\": \"Mann-Whitney\", \"bbox\": [127, 132, 185, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 132, 233, 142]}, {\"cell\": \"Sour taste in the mouth\", \"bbox\": [2, 145, 89, 155]}, {\"cell\": \"Mann-Whitney\", \"bbox\": [127, 145, 185, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 145, 237, 155]}, {\"cell\": \"Occupational risk\", \"bbox\": [2, 158, 68, 168]}, {\"cell\": \"Mann-Whitney\", \"bbox\": [127, 158, 185, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 158, 233, 168]}, {\"cell\": \"Exposure to dust\", \"bbox\": [2, 171, 65, 181]}, {\"cell\": \"Mann-Whitney\", \"bbox\": [127, 171, 185, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 171, 235, 181]}, {\"cell\": \"Unilateral chewing\", \"bbox\": [2, 184, 72, 194]}, {\"cell\": \"Mann-Whitney\", \"bbox\": [127, 184, 185, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 184, 237, 194]}, {\"cell\": \"Using dental abrasives\", \"bbox\": [2, 197, 84, 207]}, {\"cell\": \"Pearson\", \"bbox\": [141, 197, 171, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 197, 237, 207]}, {\"cell\": \"Using mouth rinse\", \"bbox\": [2, 210, 71, 220]}, {\"cell\": \"Pearson\", \"bbox\": [141, 210, 171, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 210, 233, 220]}, {\"cell\": \"Intake of acidic medications\", \"bbox\": [2, 222, 59, 243]}, {\"cell\": \"Mann-Whitney\", \"bbox\": [127, 228, 185, 238]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 228, 233, 238]}, {\"cell\": \"Drinking alcohol\", \"bbox\": [2, 246, 66, 256]}, {\"cell\": \"Pearson\", \"bbox\": [141, 246, 171, 256]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 246, 233, 256]}, {\"cell\": \"Brushing:\", \"bbox\": [2, 259, 39, 269]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Frequency\", \"bbox\": [12, 272, 52, 282]}, {\"cell\": \"Pearson\", \"bbox\": [141, 272, 171, 282]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 272, 235, 282]}, {\"cell\": \" Technique\", \"bbox\": [12, 285, 52, 295]}, {\"cell\": \"Kruskal-Wallis\", \"bbox\": [129, 285, 183, 295]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 285, 237, 295]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3420095_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
SiteRelative survivalp Value
Both (%)Radiation only (%)Surgery only (%)Neither rad. nor surgery (%)
Bone (SBP)
Axial skeleton (c41)[EMPTY_CELL]61.20%46.4%36.90%< .05
Appendicular skeleton (c40)[EMPTY_CELL]63.6%37.8%32.5%.024
Extramedullary plasmacytoma(EMP)
Upper respiratory tract[sinonasal mouth and pharynx (c00-14, c33-39)][EMPTY_CELL]73.8%96.7%45.1%< .05
Lower respiratory tract (c32-39)[EMPTY_CELL]42.3%100%33.5%.001
Gastrointestinal Tract (c15-26)[EMPTY_CELL]33.7%71.6%28.0%.057
Soft tissue and connective tissue (c49)[EMPTY_CELL]50.9%43.2%38.1%.346
Central nervous system (c69-72)[EMPTY_CELL]92.6%52.9%0.00%< .05
Lymph nodes (c27)[EMPTY_CELL]83.9%63.0%100.0%.836
Skin (c44)[EMPTY_CELL]90.6%91.0%100.0%.692
All other EMP sites(c48,50,53,56,67,68,73,74)[EMPTY_CELL]64.4%62.3%28.6%.004
\", \"cells\": [{\"cell\": \"Site\", \"bbox\": [1, 4, 14, 13]}, {\"cell\": \"Relative survival\", \"bbox\": [163, 4, 216, 13]}, {\"cell\": \"p Value\", \"bbox\": [459, 4, 484, 13]}, {\"cell\": \"Both (%)\", \"bbox\": [163, 17, 193, 27]}, {\"cell\": \"Radiation only (%)\", \"bbox\": [208, 17, 268, 27]}, {\"cell\": \"Surgery only (%)\", \"bbox\": [283, 17, 338, 27]}, {\"cell\": \"Neither rad. nor surgery (%)\", \"bbox\": [353, 17, 444, 27]}, {\"cell\": \"Bone (SBP)\", \"bbox\": [1, 30, 37, 40]}, {\"cell\": \" Axial skeleton (c41)\", \"bbox\": [8, 44, 72, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 44, 188, 54]}, {\"cell\": \"61.20%\", \"bbox\": [208, 44, 232, 54]}, {\"cell\": \"46.4%\", \"bbox\": [283, 44, 304, 54]}, {\"cell\": \"36.90%\", \"bbox\": [353, 44, 377, 54]}, {\"cell\": \"< .05\", \"bbox\": [459, 44, 477, 54]}, {\"cell\": \" Appendicular skeleton (c40)\", \"bbox\": [8, 58, 100, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 58, 188, 68]}, {\"cell\": \"63.6%\", \"bbox\": [208, 58, 229, 68]}, {\"cell\": \"37.8%\", \"bbox\": [283, 58, 304, 68]}, {\"cell\": \"32.5%\", \"bbox\": [353, 58, 374, 68]}, {\"cell\": \".024\", \"bbox\": [459, 58, 474, 68]}, {\"cell\": \"Extramedullary plasmacytoma(EMP)\", \"bbox\": [1, 72, 116, 82]}, {\"cell\": \" Upper respiratory tract[sinonasal mouth and pharynx (c00-14, c33-39)]\", \"bbox\": [8, 86, 138, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 86, 188, 96]}, {\"cell\": \"73.8%\", \"bbox\": [208, 86, 229, 96]}, {\"cell\": \"96.7%\", \"bbox\": [283, 86, 304, 96]}, {\"cell\": \"45.1%\", \"bbox\": [353, 86, 374, 96]}, {\"cell\": \"< .05\", \"bbox\": [459, 86, 477, 96]}, {\"cell\": \" Lower respiratory tract (c32-39)\", \"bbox\": [8, 109, 110, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 109, 184, 119]}, {\"cell\": \"42.3%\", \"bbox\": [208, 109, 229, 119]}, {\"cell\": \"100%\", \"bbox\": [283, 109, 303, 119]}, {\"cell\": \"33.5%\", \"bbox\": [353, 109, 374, 119]}, {\"cell\": \".001\", \"bbox\": [459, 109, 474, 119]}, {\"cell\": \" Gastrointestinal Tract (c15-26)\", \"bbox\": [8, 123, 105, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 123, 184, 133]}, {\"cell\": \"33.7%\", \"bbox\": [208, 123, 229, 133]}, {\"cell\": \"71.6%\", \"bbox\": [283, 123, 304, 133]}, {\"cell\": \"28.0%\", \"bbox\": [353, 123, 374, 133]}, {\"cell\": \".057\", \"bbox\": [459, 123, 474, 133]}, {\"cell\": \" Soft tissue and connective tissue (c49)\", \"bbox\": [8, 137, 133, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 137, 184, 147]}, {\"cell\": \"50.9%\", \"bbox\": [208, 137, 229, 147]}, {\"cell\": \"43.2%\", \"bbox\": [283, 137, 304, 147]}, {\"cell\": \"38.1%\", \"bbox\": [353, 137, 374, 147]}, {\"cell\": \".346\", \"bbox\": [459, 137, 474, 147]}, {\"cell\": \" Central nervous system (c69-72)\", \"bbox\": [8, 151, 113, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 151, 184, 161]}, {\"cell\": \"92.6%\", \"bbox\": [208, 151, 229, 161]}, {\"cell\": \"52.9%\", \"bbox\": [283, 151, 304, 161]}, {\"cell\": \"0.00%\", \"bbox\": [353, 151, 374, 161]}, {\"cell\": \"< .05\", \"bbox\": [459, 151, 477, 161]}, {\"cell\": \" Lymph nodes (c27)\", \"bbox\": [8, 165, 72, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 165, 184, 175]}, {\"cell\": \"83.9%\", \"bbox\": [208, 165, 229, 175]}, {\"cell\": \"63.0%\", \"bbox\": [283, 165, 304, 175]}, {\"cell\": \"100.0%\", \"bbox\": [353, 165, 377, 175]}, {\"cell\": \".836\", \"bbox\": [459, 165, 474, 175]}, {\"cell\": \" Skin (c44)\", \"bbox\": [8, 179, 41, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 179, 184, 189]}, {\"cell\": \"90.6%\", \"bbox\": [208, 179, 229, 189]}, {\"cell\": \"91.0%\", \"bbox\": [283, 179, 304, 189]}, {\"cell\": \"100.0%\", \"bbox\": [353, 179, 377, 189]}, {\"cell\": \".692\", \"bbox\": [459, 179, 474, 189]}, {\"cell\": \" All other EMP sites(c48,50,53,56,67,68,73,74)\", \"bbox\": [8, 193, 148, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 193, 184, 203]}, {\"cell\": \"64.4%\", \"bbox\": [208, 193, 229, 203]}, {\"cell\": \"62.3%\", \"bbox\": [283, 193, 304, 203]}, {\"cell\": \"28.6%\", \"bbox\": [353, 193, 374, 203]}, {\"cell\": \".004\", \"bbox\": [459, 193, 474, 203]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5216567_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]NumberOdds Ratio (95% CI) for AF/AFl in 1 ParentOdds Ratio (95% CI) for AF/AFl in Both Parents
Excluding CHD25 5922.01 (1.95 to 2.07)[EMPTY_CELL]
Excluding HF29 0351.97 (1.92 to 2.03)[EMPTY_CELL]
Born in Sweden32 1171.94 (1.89 to 1.99)[EMPTY_CELL]
Born outside Sweden3472.94 (2.25 to 3.84)[EMPTY_CELL]
Low level of education88741.73 (1.64 to 1.83)[EMPTY_CELL]
Middle level of education14 5262.00 (1.92 to 2.08)[EMPTY_CELL]
High level of education90642.06 (1.96 to 2.17)[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]Odds Ratio (95% CI) for AF/AFl in Mothers[EMPTY_CELL]
All cases32 4642.02 (1.95 to 2.09)[EMPTY_CELL]
Males23 8752.01 (1.94 to 2.09)[EMPTY_CELL]
Females85892.04 (1.91 to 2.17)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Number\", \"bbox\": [134, 7, 158, 16]}, {\"cell\": \"Odds Ratio (95% CI) for AF/AFl in 1 Parent\", \"bbox\": [204, 7, 329, 16]}, {\"cell\": \"Odds Ratio (95% CI) for AF/AFl in Both Parents\", \"bbox\": [374, 7, 511, 16]}, {\"cell\": \"Excluding CHD\", \"bbox\": [7, 21, 55, 30]}, {\"cell\": \"25 592\", \"bbox\": [134, 21, 159, 30]}, {\"cell\": \"2.01 (1.95 to 2.07)\", \"bbox\": [204, 21, 267, 30]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [374, 21, 437, 30]}, {\"cell\": \"Excluding HF\", \"bbox\": [7, 36, 50, 45]}, {\"cell\": \"29 035\", \"bbox\": [134, 36, 159, 45]}, {\"cell\": \"1.97 (1.92 to 2.03)\", \"bbox\": [204, 36, 267, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [374, 36, 437, 45]}, {\"cell\": \"Born in Sweden\", \"bbox\": [7, 50, 60, 60]}, {\"cell\": \"32 117\", \"bbox\": [134, 50, 159, 60]}, {\"cell\": \"1.94 (1.89 to 1.99)\", \"bbox\": [204, 50, 267, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [374, 50, 437, 60]}, {\"cell\": \"Born outside Sweden\", \"bbox\": [7, 65, 77, 75]}, {\"cell\": \"347\", \"bbox\": [134, 65, 148, 75]}, {\"cell\": \"2.94 (2.25 to 3.84)\", \"bbox\": [204, 65, 267, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [374, 65, 437, 75]}, {\"cell\": \"Low level of education\", \"bbox\": [7, 80, 81, 90]}, {\"cell\": \"8874\", \"bbox\": [134, 80, 152, 90]}, {\"cell\": \"1.73 (1.64 to 1.83)\", \"bbox\": [204, 80, 267, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [374, 80, 437, 90]}, {\"cell\": \"Middle level of education\", \"bbox\": [7, 95, 89, 104]}, {\"cell\": \"14 526\", \"bbox\": [134, 95, 159, 104]}, {\"cell\": \"2.00 (1.92 to 2.08)\", \"bbox\": [204, 95, 267, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [374, 95, 437, 104]}, {\"cell\": \"High level of education\", \"bbox\": [7, 110, 82, 119]}, {\"cell\": \"9064\", \"bbox\": [134, 110, 152, 119]}, {\"cell\": \"2.06 (1.96 to 2.17)\", \"bbox\": [204, 110, 267, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [374, 110, 437, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Odds Ratio (95% CI) for AF/AFl in Mothers\", \"bbox\": [204, 125, 317, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [374, 125, 485, 134]}, {\"cell\": \"All cases\", \"bbox\": [7, 139, 38, 149]}, {\"cell\": \"32 464\", \"bbox\": [134, 139, 159, 149]}, {\"cell\": \"2.02 (1.95 to 2.09)\", \"bbox\": [204, 139, 267, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [374, 139, 437, 149]}, {\"cell\": \"Males\", \"bbox\": [7, 154, 28, 164]}, {\"cell\": \"23 875\", \"bbox\": [134, 154, 159, 164]}, {\"cell\": \"2.01 (1.94 to 2.09)\", \"bbox\": [204, 154, 267, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [374, 154, 437, 164]}, {\"cell\": \"Females\", \"bbox\": [7, 169, 35, 179]}, {\"cell\": \"8589\", \"bbox\": [134, 169, 152, 179]}, {\"cell\": \"2.04 (1.91 to 2.17)\", \"bbox\": [204, 169, 267, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [374, 169, 437, 179]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3603261_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Group 1Group 2p-value
Age (years)[EMPTY_CELL]68 ± 9ns
Hypertension (%)[EMPTY_CELL]73ns
IVS thickness (mm)[EMPTY_CELL]9.8 ± .3<0.01
PW thickness (mm)[EMPTY_CELL]8.7 ± .1ns
Septal hypertrophy (%)[EMPTY_CELL]7<0.01
BPs basal (mmHg)[EMPTY_CELL]129 ± 27ns
BPd basal (mmHg)[EMPTY_CELL]69 ± 14ns
HR basal (b/min)[EMPTY_CELL]66 ± 12ns
HR dobutamine (b/min)[EMPTY_CELL]108 ± 18ns
LVEDV basal (ml)[EMPTY_CELL]99 ± 28ns
LVEDV dobutamine (ml)[EMPTY_CELL]72 ± 32ns
LVESV basal (ml)[EMPTY_CELL]48 ± 14ns
LVESV dobutamine (ml)[EMPTY_CELL]40 ± 24ns
LVEF basal (%)[EMPTY_CELL]48 ± 14ns
LVEF dobutamine (%)[EMPTY_CELL]67 ± 7ns
WMSI basal[EMPTY_CELL]1.29 ± .4ns
WMSI dobutamine[EMPTY_CELL]1.08 ± .4<0.01
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Group 1\", \"bbox\": [131, 3, 162, 13]}, {\"cell\": \"Group 2\", \"bbox\": [251, 3, 282, 13]}, {\"cell\": \"p-value\", \"bbox\": [372, 3, 401, 13]}, {\"cell\": \"Age (years)\", \"bbox\": [11, 31, 52, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 31, 153, 41]}, {\"cell\": \"68 ± 9\", \"bbox\": [251, 31, 274, 41]}, {\"cell\": \"ns\", \"bbox\": [372, 31, 381, 41]}, {\"cell\": \"Hypertension (%)\", \"bbox\": [11, 45, 75, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 45, 141, 55]}, {\"cell\": \"73\", \"bbox\": [251, 45, 262, 55]}, {\"cell\": \"ns\", \"bbox\": [372, 45, 382, 55]}, {\"cell\": \"IVS thickness (mm)\", \"bbox\": [11, 59, 80, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 59, 161, 69]}, {\"cell\": \"9.8 ± .3\", \"bbox\": [251, 59, 277, 69]}, {\"cell\": \"<0.01\", \"bbox\": [372, 59, 393, 69]}, {\"cell\": \"PW thickness (mm)\", \"bbox\": [11, 73, 80, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 73, 157, 83]}, {\"cell\": \"8.7 ± .1\", \"bbox\": [251, 73, 277, 83]}, {\"cell\": \"ns\", \"bbox\": [372, 73, 381, 83]}, {\"cell\": \"Septal hypertrophy (%)\", \"bbox\": [11, 87, 96, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 87, 141, 97]}, {\"cell\": \"7\", \"bbox\": [251, 87, 258, 97]}, {\"cell\": \"<0.01\", \"bbox\": [372, 87, 393, 97]}, {\"cell\": \"BPs basal (mmHg)\", \"bbox\": [11, 101, 77, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 101, 162, 111]}, {\"cell\": \"129 ± 27\", \"bbox\": [251, 101, 282, 111]}, {\"cell\": \"ns\", \"bbox\": [372, 101, 381, 111]}, {\"cell\": \"BPd basal (mmHg)\", \"bbox\": [11, 115, 78, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 115, 158, 125]}, {\"cell\": \"69 ± 14\", \"bbox\": [251, 115, 278, 125]}, {\"cell\": \"ns\", \"bbox\": [372, 115, 382, 125]}, {\"cell\": \"HR basal (b/min)\", \"bbox\": [11, 129, 71, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 129, 153, 139]}, {\"cell\": \"66 ± 12\", \"bbox\": [251, 129, 278, 139]}, {\"cell\": \"ns\", \"bbox\": [372, 129, 381, 139]}, {\"cell\": \"HR dobutamine (b/min)\", \"bbox\": [11, 143, 96, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 143, 162, 153]}, {\"cell\": \"108 ± 18\", \"bbox\": [251, 143, 282, 153]}, {\"cell\": \"ns\", \"bbox\": [372, 143, 381, 153]}, {\"cell\": \"LVEDV basal (ml)\", \"bbox\": [11, 157, 73, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 157, 158, 167]}, {\"cell\": \"99 ± 28\", \"bbox\": [251, 157, 278, 167]}, {\"cell\": \"ns\", \"bbox\": [372, 157, 382, 167]}, {\"cell\": \"LVEDV dobutamine (ml)\", \"bbox\": [11, 171, 98, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 171, 158, 181]}, {\"cell\": \"72 ± 32\", \"bbox\": [251, 171, 278, 181]}, {\"cell\": \"ns\", \"bbox\": [372, 171, 382, 181]}, {\"cell\": \"LVESV basal (ml)\", \"bbox\": [11, 185, 72, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 185, 158, 195]}, {\"cell\": \"48 ± 14\", \"bbox\": [251, 185, 278, 195]}, {\"cell\": \"ns\", \"bbox\": [372, 185, 382, 195]}, {\"cell\": \"LVESV dobutamine (ml)\", \"bbox\": [11, 199, 97, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 199, 158, 209]}, {\"cell\": \"40 ± 24\", \"bbox\": [251, 199, 278, 209]}, {\"cell\": \"ns\", \"bbox\": [372, 199, 382, 209]}, {\"cell\": \"LVEF basal (%)\", \"bbox\": [11, 213, 64, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 213, 153, 223]}, {\"cell\": \"48 ± 14\", \"bbox\": [251, 213, 278, 223]}, {\"cell\": \"ns\", \"bbox\": [372, 213, 381, 223]}, {\"cell\": \"LVEF dobutamine (%)\", \"bbox\": [11, 227, 89, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 227, 158, 237]}, {\"cell\": \"67 ± 7\", \"bbox\": [251, 227, 274, 237]}, {\"cell\": \"ns\", \"bbox\": [372, 227, 382, 237]}, {\"cell\": \"WMSI basal\", \"bbox\": [11, 241, 54, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 241, 161, 251]}, {\"cell\": \"1.29 ± .4\", \"bbox\": [251, 241, 281, 251]}, {\"cell\": \"ns\", \"bbox\": [372, 241, 382, 251]}, {\"cell\": \"WMSI dobutamine\", \"bbox\": [11, 255, 79, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 255, 161, 265]}, {\"cell\": \"1.08 ± .4\", \"bbox\": [251, 255, 281, 265]}, {\"cell\": \"<0.01\", \"bbox\": [372, 255, 393, 265]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2873238_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariablesControl (n = 28)Patients (n = 60)p
Hb (g/L)14.8 ± 2.6311.38 ± 3.29[EMPTY_CELL]
WBC (×109/L)6.532 ± 2.4 88.93 ± 18.21[EMPTY_CELL]
Platelet count (×109/L)338.68 ± 84.39101.48 ± 22.57[EMPTY_CELL]
Plateletcrit (%)0.24 ± 0.06 0.17 ± 0.04 [EMPTY_CELL]
MPV (fL)8.4 ± 3.5514.84 ± 4.94[EMPTY_CELL]
RDW (%) 12.72 ± 2.5211.43 ± 2.99[EMPTY_CELL]
RDWCV (%)15.44 ± 1.7816.44 ± 2.56[EMPTY_CELL]
MCH (pg/cell)29.53 ± 2.6422.8 ± 3.11[EMPTY_CELL]
MCV (fL)88.31 ± 18.2786.29 ± 18.39[EMPTY_CELL]
MCHC (g/dL)35.36 ± 1.5929.86 ± 2.75[EMPTY_CELL]
P53 (ng/mL)0.142 ± 0.112.135 ± 1.44[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Variables\", \"bbox\": [37, 5, 77, 14]}, {\"cell\": \"Control (n = 28)\", \"bbox\": [124, 5, 189, 16]}, {\"cell\": \"Patients (n = 60)\", \"bbox\": [208, 5, 275, 16]}, {\"cell\": \"p\", \"bbox\": [306, 7, 313, 16]}, {\"cell\": \"Hb (g/L)\", \"bbox\": [38, 21, 76, 32]}, {\"cell\": \"14.8 ± 2.63\", \"bbox\": [134, 21, 179, 32]}, {\"cell\": \"11.38 ± 3.29\", \"bbox\": [217, 21, 267, 32]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [300, 21, 318, 32]}, {\"cell\": \"WBC (×109/L)\", \"bbox\": [26, 30, 88, 43]}, {\"cell\": \"6.532 ± 2.4 \", \"bbox\": [134, 32, 179, 43]}, {\"cell\": \"88.93 ± 18.21\", \"bbox\": [215, 32, 269, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [294, 32, 325, 43]}, {\"cell\": \"Platelet count (×109/L)\", \"bbox\": [9, 42, 105, 55]}, {\"cell\": \"338.68 ± 84.39\", \"bbox\": [127, 43, 186, 54]}, {\"cell\": \"101.48 ± 22.57\", \"bbox\": [212, 43, 271, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [294, 43, 325, 54]}, {\"cell\": \"Plateletcrit (%)\", \"bbox\": [27, 54, 87, 65]}, {\"cell\": \"0.24 ± 0.06 \", \"bbox\": [134, 54, 179, 65]}, {\"cell\": \"0.17 ± 0.04 \", \"bbox\": [219, 54, 265, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [294, 54, 325, 65]}, {\"cell\": \"MPV (fL)\", \"bbox\": [37, 65, 76, 76]}, {\"cell\": \"8.4 ± 3.55\", \"bbox\": [136, 65, 177, 76]}, {\"cell\": \"14.84 ± 4.94\", \"bbox\": [217, 65, 267, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [300, 65, 318, 76]}, {\"cell\": \"RDW (%) \", \"bbox\": [37, 76, 77, 87]}, {\"cell\": \"12.72 ± 2.52\", \"bbox\": [132, 76, 181, 87]}, {\"cell\": \"11.43 ± 2.99\", \"bbox\": [217, 76, 267, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [300, 76, 318, 87]}, {\"cell\": \"RDWCV (%)\", \"bbox\": [31, 87, 83, 98]}, {\"cell\": \"15.44 ± 1.78\", \"bbox\": [132, 87, 181, 98]}, {\"cell\": \"16.44 ± 2.56\", \"bbox\": [217, 87, 267, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [298, 87, 321, 98]}, {\"cell\": \"MCH (pg/cell)\", \"bbox\": [26, 98, 88, 109]}, {\"cell\": \"29.53 ± 2.64\", \"bbox\": [132, 98, 181, 109]}, {\"cell\": \"22.8 ± 3.11\", \"bbox\": [219, 98, 265, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [300, 98, 318, 109]}, {\"cell\": \"MCV (fL)\", \"bbox\": [37, 109, 77, 121]}, {\"cell\": \"88.31 ± 18.27\", \"bbox\": [129, 109, 184, 121]}, {\"cell\": \"86.29 ± 18.39\", \"bbox\": [215, 109, 269, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [300, 109, 318, 121]}, {\"cell\": \"MCHC (g/dL)\", \"bbox\": [27, 120, 87, 132]}, {\"cell\": \"35.36 ± 1.59\", \"bbox\": [132, 120, 181, 132]}, {\"cell\": \"29.86 ± 2.75\", \"bbox\": [217, 120, 267, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [294, 120, 325, 132]}, {\"cell\": \"P53 (ng/mL)\", \"bbox\": [30, 131, 84, 143]}, {\"cell\": \"0.142 ± 0.11\", \"bbox\": [132, 131, 181, 143]}, {\"cell\": \"2.135 ± 1.44\", \"bbox\": [217, 131, 267, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [294, 131, 325, 143]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5871959_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariableDescriptionHPV(+)HPV(−)p-valueTest≠
(n=10)(n=13)
Gender% Male90.0076.926.04E-01[EMPTY_CELL]
AgeMean56.90 ± 8.6663.77 ± 15.852.32E-01[EMPTY_CELL]
Collection siteLiverpool10[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Poole262.81E-01[EMPTY_CELL]
[EMPTY_CELL]Southampton77[EMPTY_CELL][EMPTY_CELL]
Sequencing Batch136[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]2753.92E-01[EMPTY_CELL]
[EMPTY_CELL]302[EMPTY_CELL][EMPTY_CELL]
RIN*Mean8.51 ± 0.808.51 ± 1.017.56E-01[EMPTY_CELL]
SmokingNon smoker106[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Smoker042.56E-02[EMPTY_CELL]
[EMPTY_CELL]Heavy smoker03[EMPTY_CELL][EMPTY_CELL]
AlcoholNon drinker53[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Moderate drinker494.02E-01[EMPTY_CELL]
[EMPTY_CELL]Heavy drinker11[EMPTY_CELL][EMPTY_CELL]
Tumor siteLarynx04[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Oral051.60E-03[EMPTY_CELL]
[EMPTY_CELL]Oropharynx104[EMPTY_CELL][EMPTY_CELL]
White blood cellsMean9.47 ± 2.238.52 ± 1.922.86E-01[EMPTY_CELL]
LymphocytesMean1.82 ± 0.601.77 ± 0.815.76E-01[EMPTY_CELL]
StagingI03[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]II103.48E-01[EMPTY_CELL]
[EMPTY_CELL]III23[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]IV77[EMPTY_CELL][EMPTY_CELL]
TIL statusHigh843.61E-02[EMPTY_CELL]
[EMPTY_CELL]Medium29[EMPTY_CELL][EMPTY_CELL]
Pattern of invasionCohesive1067.49E-03[EMPTY_CELL]
[EMPTY_CELL]Discohesive07[EMPTY_CELL][EMPTY_CELL]
DifferentiationPoor92[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Moderate198.85E-04[EMPTY_CELL]
[EMPTY_CELL]Well02[EMPTY_CELL][EMPTY_CELL]
Smooth muscle actinLow109[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Moderate022.37E-01[EMPTY_CELL]
[EMPTY_CELL]High02[EMPTY_CELL][EMPTY_CELL]
Tumor cell%68.00 ± 20.5865.38 ± 21.067.69E-01[EMPTY_CELL]
E6 expressionMean4.57 ± 1.11−4.36 ± 0.571.75E-06[EMPTY_CELL]
E7 expressionMean5.07 ± 1.30−4.36 ± 0.571.75E-06[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Variable\", \"bbox\": [4, 6, 35, 15]}, {\"cell\": \"Description\", \"bbox\": [172, 6, 213, 15]}, {\"cell\": \"HPV(+)\", \"bbox\": [260, 6, 289, 15]}, {\"cell\": \"HPV(−)\", \"bbox\": [333, 3, 362, 15]}, {\"cell\": \"p-value\", \"bbox\": [398, 6, 425, 15]}, {\"cell\": \"Test≠\", \"bbox\": [460, 3, 479, 15]}, {\"cell\": \"(n=10)\", \"bbox\": [262, 21, 287, 30]}, {\"cell\": \"(n=13)\", \"bbox\": [336, 21, 360, 30]}, {\"cell\": \"Gender\", \"bbox\": [4, 37, 29, 46]}, {\"cell\": \"% Male\", \"bbox\": [179, 37, 206, 46]}, {\"cell\": \"90.00\", \"bbox\": [265, 37, 285, 46]}, {\"cell\": \"76.92\", \"bbox\": [338, 37, 358, 46]}, {\"cell\": \"6.04E-01\", \"bbox\": [396, 37, 428, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [466, 37, 472, 45]}, {\"cell\": \"Age\", \"bbox\": [4, 53, 19, 62]}, {\"cell\": \"Mean\", \"bbox\": [182, 53, 203, 62]}, {\"cell\": \"56.90 ± 8.66\", \"bbox\": [253, 53, 296, 62]}, {\"cell\": \"63.77 ± 15.85\", \"bbox\": [325, 53, 371, 62]}, {\"cell\": \"2.32E-01\", \"bbox\": [396, 53, 428, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [466, 53, 472, 60]}, {\"cell\": \"Collection site\", \"bbox\": [4, 68, 52, 77]}, {\"cell\": \"Liverpool\", \"bbox\": [176, 68, 209, 77]}, {\"cell\": \"1\", \"bbox\": [272, 68, 278, 77]}, {\"cell\": \"0\", \"bbox\": [345, 68, 351, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Poole\", \"bbox\": [182, 84, 203, 93]}, {\"cell\": \"2\", \"bbox\": [272, 84, 278, 93]}, {\"cell\": \"6\", \"bbox\": [345, 84, 351, 93]}, {\"cell\": \"2.81E-01\", \"bbox\": [396, 84, 428, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [466, 84, 472, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Southampton\", \"bbox\": [170, 99, 215, 109]}, {\"cell\": \"7\", \"bbox\": [272, 99, 278, 109]}, {\"cell\": \"7\", \"bbox\": [345, 99, 351, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Sequencing Batch\", \"bbox\": [4, 115, 63, 124]}, {\"cell\": \"1\", \"bbox\": [190, 115, 196, 124]}, {\"cell\": \"3\", \"bbox\": [272, 115, 278, 124]}, {\"cell\": \"6\", \"bbox\": [345, 115, 351, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2\", \"bbox\": [190, 130, 196, 140]}, {\"cell\": \"7\", \"bbox\": [272, 130, 278, 140]}, {\"cell\": \"5\", \"bbox\": [345, 130, 351, 140]}, {\"cell\": \"3.92E-01\", \"bbox\": [396, 130, 428, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [466, 130, 472, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3\", \"bbox\": [190, 146, 196, 155]}, {\"cell\": \"0\", \"bbox\": [272, 146, 278, 155]}, {\"cell\": \"2\", \"bbox\": [345, 146, 351, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"RIN*\", \"bbox\": [4, 161, 22, 171]}, {\"cell\": \"Mean\", \"bbox\": [182, 161, 203, 171]}, {\"cell\": \"8.51 ± 0.80\", \"bbox\": [255, 161, 294, 171]}, {\"cell\": \"8.51 ± 1.01\", \"bbox\": [329, 161, 367, 171]}, {\"cell\": \"7.56E-01\", \"bbox\": [396, 161, 428, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [467, 161, 472, 169]}, {\"cell\": \"Smoking\", \"bbox\": [4, 177, 34, 186]}, {\"cell\": \"Non smoker\", \"bbox\": [172, 177, 213, 186]}, {\"cell\": \"10\", \"bbox\": [270, 177, 280, 186]}, {\"cell\": \"6\", \"bbox\": [345, 177, 351, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Smoker\", \"bbox\": [179, 193, 206, 202]}, {\"cell\": \"0\", \"bbox\": [272, 193, 278, 202]}, {\"cell\": \"4\", \"bbox\": [345, 193, 351, 202]}, {\"cell\": \"2.56E-02\", \"bbox\": [396, 193, 428, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [466, 193, 472, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Heavy smoker\", \"bbox\": [168, 208, 217, 217]}, {\"cell\": \"0\", \"bbox\": [272, 208, 278, 217]}, {\"cell\": \"3\", \"bbox\": [345, 208, 351, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Alcohol\", \"bbox\": [4, 224, 31, 233]}, {\"cell\": \"Non drinker\", \"bbox\": [172, 224, 213, 233]}, {\"cell\": \"5\", \"bbox\": [272, 224, 278, 233]}, {\"cell\": \"3\", \"bbox\": [345, 224, 351, 233]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Moderate drinker\", \"bbox\": [164, 239, 221, 249]}, {\"cell\": \"4\", \"bbox\": [272, 239, 278, 249]}, {\"cell\": \"9\", \"bbox\": [345, 239, 351, 249]}, {\"cell\": \"4.02E-01\", \"bbox\": [396, 239, 428, 249]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [466, 239, 472, 247]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Heavy drinker\", \"bbox\": [169, 255, 217, 264]}, {\"cell\": \"1\", \"bbox\": [272, 255, 278, 264]}, {\"cell\": \"1\", \"bbox\": [345, 255, 351, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Tumor site\", \"bbox\": [4, 270, 40, 280]}, {\"cell\": \"Larynx\", \"bbox\": [180, 270, 205, 280]}, {\"cell\": \"0\", \"bbox\": [272, 270, 278, 280]}, {\"cell\": \"4\", \"bbox\": [345, 270, 351, 280]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Oral\", \"bbox\": [184, 286, 201, 295]}, {\"cell\": \"0\", \"bbox\": [272, 286, 278, 295]}, {\"cell\": \"5\", \"bbox\": [345, 286, 351, 295]}, {\"cell\": \"1.60E-03\", \"bbox\": [396, 286, 428, 295]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [466, 286, 472, 294]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Oropharynx\", \"bbox\": [172, 301, 213, 311]}, {\"cell\": \"10\", \"bbox\": [270, 301, 280, 311]}, {\"cell\": \"4\", \"bbox\": [345, 301, 351, 311]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"White blood cells\", \"bbox\": [4, 314, 62, 327]}, {\"cell\": \"Mean\", \"bbox\": [182, 317, 203, 326]}, {\"cell\": \"9.47 ± 2.23\", \"bbox\": [255, 317, 294, 326]}, {\"cell\": \"8.52 ± 1.92\", \"bbox\": [329, 317, 367, 326]}, {\"cell\": \"2.86E-01\", \"bbox\": [396, 317, 428, 326]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [466, 317, 472, 325]}, {\"cell\": \"Lymphocytes\", \"bbox\": [4, 333, 49, 342]}, {\"cell\": \"Mean\", \"bbox\": [182, 333, 203, 342]}, {\"cell\": \"1.82 ± 0.60\", \"bbox\": [255, 333, 294, 342]}, {\"cell\": \"1.77 ± 0.81\", \"bbox\": [329, 333, 367, 342]}, {\"cell\": \"5.76E-01\", \"bbox\": [396, 333, 428, 342]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [467, 333, 472, 340]}, {\"cell\": \"Staging\", \"bbox\": [4, 348, 30, 357]}, {\"cell\": \"I\", \"bbox\": [190, 348, 195, 357]}, {\"cell\": \"0\", \"bbox\": [272, 348, 278, 357]}, {\"cell\": \"3\", \"bbox\": [345, 348, 351, 357]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"II\", \"bbox\": [189, 364, 196, 373]}, {\"cell\": \"1\", \"bbox\": [272, 364, 278, 373]}, {\"cell\": \"0\", \"bbox\": [345, 364, 351, 373]}, {\"cell\": \"3.48E-01\", \"bbox\": [396, 364, 428, 373]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [466, 364, 472, 371]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"III\", \"bbox\": [188, 379, 198, 388]}, {\"cell\": \"2\", \"bbox\": [272, 379, 278, 388]}, {\"cell\": \"3\", \"bbox\": [345, 379, 351, 388]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"IV\", \"bbox\": [187, 395, 198, 404]}, {\"cell\": \"7\", \"bbox\": [272, 395, 278, 404]}, {\"cell\": \"7\", \"bbox\": [345, 395, 351, 404]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TIL status\", \"bbox\": [4, 410, 38, 420]}, {\"cell\": \"High\", \"bbox\": [184, 410, 202, 420]}, {\"cell\": \"8\", \"bbox\": [272, 410, 278, 420]}, {\"cell\": \"4\", \"bbox\": [345, 410, 351, 420]}, {\"cell\": \"3.61E-02\", \"bbox\": [396, 410, 428, 420]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [466, 410, 472, 418]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Medium\", \"bbox\": [178, 426, 207, 435]}, {\"cell\": \"2\", \"bbox\": [272, 426, 278, 435]}, {\"cell\": \"9\", \"bbox\": [345, 426, 351, 435]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Pattern of invasion\", \"bbox\": [4, 441, 66, 451]}, {\"cell\": \"Cohesive\", \"bbox\": [177, 441, 208, 451]}, {\"cell\": \"10\", \"bbox\": [270, 441, 280, 451]}, {\"cell\": \"6\", \"bbox\": [345, 441, 351, 451]}, {\"cell\": \"7.49E-03\", \"bbox\": [396, 441, 428, 451]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [466, 441, 472, 449]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Discohesive\", \"bbox\": [172, 457, 213, 466]}, {\"cell\": \"0\", \"bbox\": [272, 457, 278, 466]}, {\"cell\": \"7\", \"bbox\": [345, 457, 351, 466]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Differentiation\", \"bbox\": [4, 472, 53, 482]}, {\"cell\": \"Poor\", \"bbox\": [184, 472, 201, 482]}, {\"cell\": \"9\", \"bbox\": [272, 472, 278, 482]}, {\"cell\": \"2\", \"bbox\": [345, 472, 351, 482]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Moderate\", \"bbox\": [176, 488, 209, 497]}, {\"cell\": \"1\", \"bbox\": [272, 488, 278, 497]}, {\"cell\": \"9\", \"bbox\": [345, 488, 351, 497]}, {\"cell\": \"8.85E-04\", \"bbox\": [396, 488, 428, 497]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [466, 488, 472, 496]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Well\", \"bbox\": [184, 501, 201, 514]}, {\"cell\": \"0\", \"bbox\": [272, 504, 278, 513]}, {\"cell\": \"2\", \"bbox\": [345, 504, 351, 513]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Smooth muscle actin\", \"bbox\": [4, 519, 73, 528]}, {\"cell\": \"Low\", \"bbox\": [184, 519, 201, 528]}, {\"cell\": \"10\", \"bbox\": [270, 519, 280, 528]}, {\"cell\": \"9\", \"bbox\": [345, 519, 351, 528]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Moderate\", \"bbox\": [176, 535, 209, 544]}, {\"cell\": \"0\", \"bbox\": [272, 535, 278, 544]}, {\"cell\": \"2\", \"bbox\": [345, 535, 351, 544]}, {\"cell\": \"2.37E-01\", \"bbox\": [396, 535, 428, 544]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [466, 535, 472, 542]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"High\", \"bbox\": [184, 550, 202, 560]}, {\"cell\": \"0\", \"bbox\": [272, 550, 278, 560]}, {\"cell\": \"2\", \"bbox\": [345, 550, 351, 560]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Tumor cell\", \"bbox\": [4, 566, 41, 575]}, {\"cell\": \"%\", \"bbox\": [188, 566, 197, 575]}, {\"cell\": \"68.00 ± 20.58\", \"bbox\": [251, 566, 298, 575]}, {\"cell\": \"65.38 ± 21.06\", \"bbox\": [325, 566, 371, 575]}, {\"cell\": \"7.69E-01\", \"bbox\": [396, 566, 428, 575]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [466, 566, 473, 573]}, {\"cell\": \"E6 expression\", \"bbox\": [4, 581, 51, 591]}, {\"cell\": \"Mean\", \"bbox\": [182, 581, 203, 591]}, {\"cell\": \"4.57 ± 1.11\", \"bbox\": [256, 581, 294, 591]}, {\"cell\": \"−4.36 ± 0.57\", \"bbox\": [327, 581, 368, 591]}, {\"cell\": \"1.75E-06\", \"bbox\": [396, 581, 428, 591]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [466, 581, 473, 589]}, {\"cell\": \"E7 expression\", \"bbox\": [4, 598, 51, 607]}, {\"cell\": \"Mean\", \"bbox\": [182, 598, 203, 607]}, {\"cell\": \"5.07 ± 1.30\", \"bbox\": [255, 598, 294, 607]}, {\"cell\": \"−4.36 ± 0.57\", \"bbox\": [327, 598, 368, 607]}, {\"cell\": \"1.75E-06\", \"bbox\": [396, 598, 428, 607]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [466, 598, 473, 605]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5302866_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
ThemeQuotationsa
Perceived risks of APOSTEL VI study[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Theme\", \"bbox\": [1, 4, 25, 13]}, {\"cell\": \"Quotationsa\", \"bbox\": [87, 2, 126, 13]}, {\"cell\": \"Perceived risks of APOSTEL VI study\", \"bbox\": [1, 17, 59, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [87, 17, 484, 126]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5432995_005_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Functional CategoriesVulnerable SNP NumberHaplotypeNumberMonte Carlop-values
SNPs Introducing Non-Synonymous Mutations26[EMPTY_CELL]0.001*
SNPs Introducing Synonymous Mutations25[EMPTY_CELL]0.001*
SNPs Introducing Stop Codon Gain0[EMPTY_CELL]1.00
SNPs Introducing Stop Codon Lost0[EMPTY_CELL]1.00
SNPs Introducing ORF Frame Shift0[EMPTY_CELL]1.00
SNPs Introducing Altered Splicing Junction1[EMPTY_CELL]0.92
SNPs Introducing Altered TF Binding Sites4[EMPTY_CELL]0.83
SNPs Introducing Altered miRNA Targets2[EMPTY_CELL]0.28
SNPs Correlated With Differentially Gene Expression24[EMPTY_CELL]0.42
SNPs Under Positive Selection34[EMPTY_CELL]0.99
SNPs Under Negative Selection31[EMPTY_CELL]0.05*
Functional Addiction Susceptibility SNPs124[EMPTY_CELL]0.63
All SNPs in The Positive Haplotypes1907[EMPTY_CELL]1.00
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MeasurementAverage Concentration (μg/m3)Conc. Error (%), TSI DRX vs. Airborne Module Emission Rate (μg/s)Emission Error (%), Calculated Value vs. Field ValueAverage Concentration (μg/m3)Conc. Error (%), TSI DRX vs. Airborne ModuleEmission Rate (μg/s)Emission Error (%), Calculated Value vs. Field Value
[EMPTY_CELL]Test 1Test 2
TSI DRX[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Raw data18.579NA10,646.21447.9[EMPTY_CELL]NA7213.35353.1
10 s Mov. Ave.NA *NANA *NA *[EMPTY_CELL]NA6924.89354.9
15 s Mov. Ave.29.165NA16,712.08418.27[EMPTY_CELL]NA6979.26054.6
20 s Mov. Ave.32.500NA18,623.2848.93[EMPTY_CELL]NA6793.13255.8
30 s Mov. Ave.39.484NA22,625.07810.64[EMPTY_CELL]NA6747.75956.1
60 s Mov. Ave.93.055NA53,322.700160.76[EMPTY_CELL]NA7232.39452.9
90 s Mov. Ave.104.552NA59,911.108192.98[EMPTY_CELL]NA8024.46147.8
Airborne module[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Raw data3.20182.71834.18991.0[EMPTY_CELL]89.29779.52394.9
10 s Mov. Ave. Corr.NA *NA *NA *NA *[EMPTY_CELL]163.3918,232.33418.5
15 s Mov. Ave. Corr.32.33610.918,529.5619.4[EMPTY_CELL]162.218,296.78418.9
20 s Mov. Ave. Corr.32.1291.118,410.9329.8[EMPTY_CELL]170.718,390.43519.6
30 s Mov. Ave. Corr.32.35718.818,541.3189.3[EMPTY_CELL]181.719,005.53223.5
60 s Mov. Ave. Corr.32.38265.218,555.6619.3[EMPTY_CELL]173.119,748.15928.4
90 s Mov. Ave. Corr.32.48768.918,615.6328.9[EMPTY_CELL]144.719,624.31927.6
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Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
SNP classNo. of SNPsNo. of SNPs in category
[EMPTY_CELL][EMPTY_CELL]SNPmSNPIndelSNP-SNPIndel-SNPSNP-in-InsertionF1DCodon-based
MHR18,9589,913191[EMPTY_CELL]7372861,1141,8642,395
CRBT5,8764,2480[EMPTY_CELL]761961444441
Other9,7556,0140[EMPTY_CELL]1,387196428150366
NMH36,08825,7821,050[EMPTY_CELL]9792988431,4982,273
OTV1,0304151[EMPTY_CELL]126211138312
PHR23,35516,891519[EMPTY_CELL]3,101280303157261
Reproducibility3,2632,568129[EMPTY_CELL]18217395573
AAvarianceY49133910[EMPTY_CELL]828815
ABvarianceX1,7751,09511[EMPTY_CELL]32832321838
ABvarianceY3,2122,36754[EMPTY_CELL]38451341429
BBvarianceY3941836[EMPTY_CELL]1447524
nMinorHom1,6111,15387[EMPTY_CELL]5317313361
FilteredPHR12,6099,186222[EMPTY_CELL]1,9281481543451
No of markers on array95,06363,2631,761[EMPTY_CELL]7,0921,1772,8433,7515,648
\", \"cells\": [{\"cell\": \"SNP class\", \"bbox\": [1, 4, 35, 13]}, {\"cell\": \"No. of SNPs\", \"bbox\": [95, 4, 137, 13]}, {\"cell\": \"No. of SNPs in category\", \"bbox\": [149, 4, 233, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"SNP\", \"bbox\": [149, 17, 164, 27]}, {\"cell\": \"mSNP\", \"bbox\": [182, 17, 205, 27]}, {\"cell\": \"Indel\", \"bbox\": [216, 17, 236, 27]}, {\"cell\": \"SNP-SNP\", \"bbox\": [247, 17, 279, 27]}, {\"cell\": \"Indel-SNP\", \"bbox\": [290, 17, 326, 27]}, {\"cell\": \"SNP-in-Insertion\", \"bbox\": [337, 17, 395, 27]}, {\"cell\": \"F1D\", \"bbox\": [407, 17, 422, 27]}, {\"cell\": \"Codon-based\", \"bbox\": [437, 17, 484, 27]}, {\"cell\": \"MHR\", \"bbox\": [1, 30, 18, 38]}, {\"cell\": \"18,958\", \"bbox\": [95, 30, 117, 40]}, {\"cell\": \"9,913\", \"bbox\": [149, 30, 167, 40]}, {\"cell\": \"191\", \"bbox\": [182, 30, 196, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 30, 235, 40]}, {\"cell\": \"737\", \"bbox\": [247, 30, 260, 40]}, {\"cell\": \"286\", \"bbox\": [290, 30, 304, 40]}, {\"cell\": \"1,114\", \"bbox\": [337, 30, 356, 40]}, {\"cell\": \"1,864\", \"bbox\": [407, 30, 425, 40]}, {\"cell\": \"2,395\", \"bbox\": [437, 30, 455, 40]}, {\"cell\": \"CRBT\", \"bbox\": [1, 44, 20, 52]}, {\"cell\": \"5,876\", \"bbox\": [95, 44, 113, 54]}, {\"cell\": \"4,248\", \"bbox\": [149, 44, 167, 54]}, {\"cell\": \"0\", \"bbox\": [182, 44, 188, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 44, 230, 54]}, {\"cell\": \"761\", \"bbox\": [247, 44, 260, 54]}, {\"cell\": \"96\", \"bbox\": [290, 44, 300, 54]}, {\"cell\": \"144\", \"bbox\": [337, 44, 351, 54]}, {\"cell\": \"44\", \"bbox\": [407, 44, 416, 54]}, {\"cell\": \"41\", \"bbox\": [437, 44, 446, 54]}, {\"cell\": \"Other\", \"bbox\": [1, 58, 21, 66]}, {\"cell\": \"9,755\", \"bbox\": [95, 58, 113, 68]}, {\"cell\": \"6,014\", \"bbox\": [149, 58, 167, 68]}, {\"cell\": \"0\", \"bbox\": [182, 58, 188, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 58, 235, 68]}, {\"cell\": \"1,387\", \"bbox\": [247, 58, 266, 68]}, {\"cell\": \"196\", \"bbox\": [290, 58, 304, 68]}, {\"cell\": \"428\", \"bbox\": [337, 58, 351, 68]}, {\"cell\": \"150\", \"bbox\": [407, 58, 420, 68]}, {\"cell\": \"366\", \"bbox\": [437, 58, 450, 68]}, {\"cell\": \"NMH\", \"bbox\": [1, 72, 19, 80]}, {\"cell\": \"36,088\", \"bbox\": [95, 72, 117, 82]}, {\"cell\": \"25,782\", \"bbox\": [149, 72, 171, 82]}, {\"cell\": \"1,050\", \"bbox\": [182, 72, 201, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 72, 235, 82]}, {\"cell\": \"979\", \"bbox\": [247, 72, 260, 82]}, {\"cell\": \"298\", \"bbox\": [290, 72, 304, 82]}, {\"cell\": \"843\", \"bbox\": [337, 72, 351, 82]}, {\"cell\": \"1,498\", \"bbox\": [407, 72, 425, 82]}, {\"cell\": \"2,273\", \"bbox\": [437, 72, 455, 82]}, {\"cell\": \"OTV\", \"bbox\": [1, 86, 17, 94]}, {\"cell\": \"1,030\", \"bbox\": [95, 86, 113, 96]}, {\"cell\": \"415\", \"bbox\": [149, 86, 162, 96]}, {\"cell\": \"1\", \"bbox\": [182, 86, 188, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 86, 230, 96]}, {\"cell\": \"126\", \"bbox\": [247, 86, 260, 96]}, {\"cell\": \"21\", \"bbox\": [290, 86, 300, 96]}, {\"cell\": \"11\", \"bbox\": [337, 86, 347, 96]}, {\"cell\": \"38\", \"bbox\": [407, 86, 416, 96]}, {\"cell\": \"312\", \"bbox\": [437, 86, 450, 96]}, {\"cell\": \"PHR\", \"bbox\": [1, 100, 16, 108]}, {\"cell\": \"23,355\", \"bbox\": [95, 100, 117, 110]}, {\"cell\": \"16,891\", \"bbox\": [149, 100, 171, 110]}, {\"cell\": \"519\", \"bbox\": [182, 100, 196, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 100, 235, 110]}, {\"cell\": \"3,101\", \"bbox\": [247, 100, 266, 110]}, {\"cell\": \"280\", \"bbox\": [290, 100, 304, 110]}, {\"cell\": \"303\", \"bbox\": [337, 100, 351, 110]}, {\"cell\": \"157\", \"bbox\": [407, 100, 420, 110]}, {\"cell\": \"261\", \"bbox\": [437, 100, 450, 110]}, {\"cell\": \"Reproducibility\", \"bbox\": [1, 114, 50, 124]}, {\"cell\": \"3,263\", \"bbox\": [95, 114, 113, 124]}, {\"cell\": \"2,568\", \"bbox\": [149, 114, 167, 124]}, {\"cell\": \"129\", \"bbox\": [182, 114, 196, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 114, 230, 124]}, {\"cell\": \"182\", \"bbox\": [247, 114, 260, 124]}, {\"cell\": \"17\", \"bbox\": [290, 114, 300, 124]}, {\"cell\": \"39\", \"bbox\": [337, 114, 347, 124]}, {\"cell\": \"55\", \"bbox\": [407, 114, 416, 124]}, {\"cell\": \"73\", \"bbox\": [437, 114, 446, 124]}, {\"cell\": \"AAvarianceY\", \"bbox\": [1, 128, 42, 138]}, {\"cell\": \"491\", \"bbox\": [95, 128, 108, 138]}, {\"cell\": \"339\", \"bbox\": [149, 128, 162, 138]}, {\"cell\": \"10\", \"bbox\": [182, 128, 192, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 128, 226, 138]}, {\"cell\": \"82\", \"bbox\": [247, 128, 257, 138]}, {\"cell\": \"8\", \"bbox\": [290, 128, 296, 138]}, {\"cell\": \"8\", \"bbox\": [337, 128, 343, 138]}, {\"cell\": \"1\", \"bbox\": [407, 128, 412, 138]}, {\"cell\": \"5\", \"bbox\": [437, 128, 442, 138]}, {\"cell\": \"ABvarianceX\", \"bbox\": [1, 142, 42, 152]}, {\"cell\": \"1,775\", \"bbox\": [95, 142, 113, 152]}, {\"cell\": \"1,095\", \"bbox\": [149, 142, 167, 152]}, {\"cell\": \"11\", \"bbox\": [182, 142, 192, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 142, 230, 152]}, {\"cell\": \"328\", \"bbox\": [247, 142, 260, 152]}, {\"cell\": \"32\", \"bbox\": [290, 142, 300, 152]}, {\"cell\": \"32\", \"bbox\": [337, 142, 347, 152]}, {\"cell\": \"18\", \"bbox\": [407, 142, 416, 152]}, {\"cell\": \"38\", \"bbox\": [437, 142, 446, 152]}, {\"cell\": \"ABvarianceY\", \"bbox\": [1, 156, 41, 166]}, {\"cell\": \"3,212\", \"bbox\": [95, 156, 113, 166]}, {\"cell\": \"2,367\", \"bbox\": [149, 156, 167, 166]}, {\"cell\": \"54\", \"bbox\": [182, 156, 192, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 156, 230, 166]}, {\"cell\": \"384\", \"bbox\": [247, 156, 260, 166]}, {\"cell\": \"51\", \"bbox\": [290, 156, 300, 166]}, {\"cell\": \"34\", \"bbox\": [337, 156, 347, 166]}, {\"cell\": \"14\", \"bbox\": [407, 156, 416, 166]}, {\"cell\": \"29\", \"bbox\": [437, 156, 446, 166]}, {\"cell\": \"BBvarianceY\", \"bbox\": [1, 170, 41, 180]}, {\"cell\": \"394\", \"bbox\": [95, 170, 108, 180]}, {\"cell\": \"183\", \"bbox\": [149, 170, 162, 180]}, {\"cell\": \"6\", \"bbox\": [182, 170, 188, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 170, 226, 180]}, {\"cell\": \"144\", \"bbox\": [247, 170, 260, 180]}, {\"cell\": \"7\", \"bbox\": [290, 170, 296, 180]}, {\"cell\": \"5\", \"bbox\": [337, 170, 343, 180]}, {\"cell\": \"2\", \"bbox\": [407, 170, 412, 180]}, {\"cell\": \"4\", \"bbox\": [437, 170, 442, 180]}, {\"cell\": \"nMinorHom\", \"bbox\": [1, 184, 41, 194]}, {\"cell\": \"1,611\", \"bbox\": [95, 184, 113, 194]}, {\"cell\": \"1,153\", \"bbox\": [149, 184, 167, 194]}, {\"cell\": \"87\", \"bbox\": [182, 184, 192, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 184, 230, 194]}, {\"cell\": \"53\", \"bbox\": [247, 184, 257, 194]}, {\"cell\": \"17\", \"bbox\": [290, 184, 300, 194]}, {\"cell\": \"31\", \"bbox\": [337, 184, 347, 194]}, {\"cell\": \"33\", \"bbox\": [407, 184, 416, 194]}, {\"cell\": \"61\", \"bbox\": [437, 184, 446, 194]}, {\"cell\": \"FilteredPHR\", \"bbox\": [1, 198, 45, 208]}, {\"cell\": \"12,609\", \"bbox\": [95, 198, 117, 208]}, {\"cell\": \"9,186\", \"bbox\": [149, 198, 167, 208]}, {\"cell\": \"222\", \"bbox\": [182, 198, 196, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 198, 230, 208]}, {\"cell\": \"1,928\", \"bbox\": [247, 198, 266, 208]}, {\"cell\": \"148\", \"bbox\": [290, 198, 304, 208]}, {\"cell\": \"154\", \"bbox\": [337, 198, 351, 208]}, {\"cell\": \"34\", \"bbox\": [407, 198, 416, 208]}, {\"cell\": \"51\", \"bbox\": [437, 198, 446, 208]}, {\"cell\": \"No of markers on array\", \"bbox\": [1, 212, 83, 222]}, {\"cell\": \"95,063\", \"bbox\": [95, 212, 117, 222]}, {\"cell\": \"63,263\", \"bbox\": [149, 212, 171, 222]}, {\"cell\": \"1,761\", \"bbox\": [182, 212, 201, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 212, 235, 222]}, {\"cell\": \"7,092\", \"bbox\": [247, 212, 266, 222]}, {\"cell\": \"1,177\", \"bbox\": [290, 212, 309, 222]}, {\"cell\": \"2,843\", \"bbox\": [337, 212, 356, 222]}, {\"cell\": \"3,751\", \"bbox\": [407, 212, 425, 222]}, {\"cell\": \"5,648\", \"bbox\": [437, 212, 455, 222]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4374422_014_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Category no.Accompaniment in the main mealCKDu patientsNon-CKDu subjectsχ2(p value)Odds ratio (95% CI)
No. of meals reported % (N)No. of subjects % (n)No. of meals reported % (N)No. of subjects % (n)
1Animal sources35.7 (322)97 (97)42.1(370)88 (88)[EMPTY_CELL]0.5270.398-0.698
2Fruit vegetables33.7 (304)97 (97)28.3 (249)98 (98)[EMPTY_CELL]0.7390.553-0.989
3Pulses & products27.8 (250)97 (97)28.9 (254)95 (95)[EMPTY_CELL]0.5960.444-0.801
4Starchy vegetables21.9 (197)88 (88)11.3 (99)69 (69)[EMPTY_CELL]1.2050.859-1.691
5Sambol/kirihodi21.4 (193)89 (89)14.4 (127)80 (80)[EMPTY_CELL]0.9200.664-1.276
6Other vegetable accompaniments*20.0 (180)86 (86)12.4 (109)78 (78)[EMPTY_CELL]-
7Green leaves16.3 (147)83 (83)15.8 (139)81 (81)[EMPTY_CELL]0.6400.459-0.893
8Leguminous pods10.3 (93)63 (63)6.4 (56)49 (49)[EMPTY_CELL]1.0060.669-1.512
\", \"cells\": [{\"cell\": \"Category no.\", \"bbox\": [1, 4, 34, 23]}, {\"cell\": \"Accompaniment in the main meal\", \"bbox\": [43, 4, 110, 23]}, {\"cell\": \"CKDu patients\", \"bbox\": [152, 4, 204, 14]}, {\"cell\": \"Non-CKDu subjects\", \"bbox\": [269, 4, 338, 14]}, {\"cell\": \"χ2(p value)\", \"bbox\": [371, 3, 410, 14]}, {\"cell\": \"Odds ratio (95% CI)\", \"bbox\": [430, 4, 469, 23]}, {\"cell\": \"No. of meals reported % (N)\", \"bbox\": [120, 18, 173, 36]}, {\"cell\": \"No. of subjects % (n)\", \"bbox\": [182, 18, 236, 36]}, {\"cell\": \"No. of meals reported % (N)\", \"bbox\": [245, 18, 299, 36]}, {\"cell\": \"No. of subjects % (n)\", \"bbox\": [308, 18, 362, 36]}, {\"cell\": \"1\", \"bbox\": [1, 40, 6, 49]}, {\"cell\": \"Animal sources\", \"bbox\": [43, 40, 94, 49]}, {\"cell\": \"35.7 (322)\", \"bbox\": [120, 40, 152, 49]}, {\"cell\": \"97 (97)\", \"bbox\": [182, 40, 206, 49]}, {\"cell\": \"42.1(370)\", \"bbox\": [245, 40, 276, 49]}, {\"cell\": \"88 (88)\", \"bbox\": [308, 40, 332, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [371, 40, 421, 49]}, {\"cell\": \"0.5270.398-0.698\", \"bbox\": [430, 40, 484, 49]}, {\"cell\": \"2\", \"bbox\": [1, 54, 6, 63]}, {\"cell\": \"Fruit vegetables\", \"bbox\": [43, 54, 96, 63]}, {\"cell\": \"33.7 (304)\", \"bbox\": [120, 54, 152, 63]}, {\"cell\": \"97 (97)\", \"bbox\": [182, 54, 206, 63]}, {\"cell\": \"28.3 (249)\", \"bbox\": [245, 54, 278, 63]}, {\"cell\": \"98 (98)\", \"bbox\": [308, 54, 332, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [371, 54, 413, 63]}, {\"cell\": \"0.7390.553-0.989\", \"bbox\": [430, 54, 484, 63]}, {\"cell\": \"3\", \"bbox\": [1, 68, 6, 77]}, {\"cell\": \"Pulses & products\", \"bbox\": [43, 68, 102, 77]}, {\"cell\": \"27.8 (250)\", \"bbox\": [120, 68, 152, 77]}, {\"cell\": \"97 (97)\", \"bbox\": [182, 68, 206, 77]}, {\"cell\": \"28.9 (254)\", \"bbox\": [245, 68, 278, 77]}, {\"cell\": \"95 (95)\", \"bbox\": [308, 68, 332, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [371, 68, 416, 77]}, {\"cell\": \"0.5960.444-0.801\", \"bbox\": [430, 68, 484, 77]}, {\"cell\": \"4\", \"bbox\": [1, 82, 6, 91]}, {\"cell\": \"Starchy vegetables\", \"bbox\": [43, 82, 105, 91]}, {\"cell\": \"21.9 (197)\", \"bbox\": [120, 82, 152, 91]}, {\"cell\": \"88 (88)\", \"bbox\": [182, 82, 206, 91]}, {\"cell\": \"11.3 (99)\", \"bbox\": [245, 82, 274, 91]}, {\"cell\": \"69 (69)\", \"bbox\": [308, 82, 332, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [371, 82, 413, 91]}, {\"cell\": \"1.2050.859-1.691\", \"bbox\": [430, 82, 484, 91]}, {\"cell\": \"5\", \"bbox\": [1, 96, 6, 105]}, {\"cell\": \"Sambol/kirihodi\", \"bbox\": [43, 96, 95, 105]}, {\"cell\": \"21.4 (193)\", \"bbox\": [120, 96, 152, 105]}, {\"cell\": \"89 (89)\", \"bbox\": [182, 96, 206, 105]}, {\"cell\": \"14.4 (127)\", \"bbox\": [245, 96, 278, 105]}, {\"cell\": \"80 (80)\", \"bbox\": [308, 96, 332, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [371, 96, 413, 105]}, {\"cell\": \"0.9200.664-1.276\", \"bbox\": [430, 96, 484, 105]}, {\"cell\": \"6\", \"bbox\": [1, 110, 6, 119]}, {\"cell\": \"Other vegetable accompaniments*\", \"bbox\": [43, 110, 103, 128]}, {\"cell\": \"20.0 (180)\", \"bbox\": [120, 110, 152, 119]}, {\"cell\": \"86 (86)\", \"bbox\": [182, 110, 206, 119]}, {\"cell\": \"12.4 (109)\", \"bbox\": [245, 110, 278, 119]}, {\"cell\": \"78 (78)\", \"bbox\": [308, 110, 332, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [371, 110, 375, 119]}, {\"cell\": \"-\", \"bbox\": [430, 110, 435, 119]}, {\"cell\": \"7\", \"bbox\": [1, 133, 6, 142]}, {\"cell\": \"Green leaves\", \"bbox\": [43, 133, 86, 142]}, {\"cell\": \"16.3 (147)\", \"bbox\": [120, 133, 152, 142]}, {\"cell\": \"83 (83)\", \"bbox\": [182, 133, 206, 142]}, {\"cell\": \"15.8 (139)\", \"bbox\": [245, 133, 278, 142]}, {\"cell\": \"81 (81)\", \"bbox\": [308, 133, 332, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [371, 133, 413, 142]}, {\"cell\": \"0.6400.459-0.893\", \"bbox\": [430, 133, 484, 142]}, {\"cell\": \"8\", \"bbox\": [1, 147, 6, 156]}, {\"cell\": \"Leguminous pods\", \"bbox\": [43, 147, 103, 156]}, {\"cell\": \"10.3 (93)\", \"bbox\": [120, 147, 149, 156]}, {\"cell\": \"63 (63)\", \"bbox\": [182, 147, 206, 156]}, {\"cell\": \"6.4 (56)\", \"bbox\": [245, 147, 270, 156]}, {\"cell\": \"49 (49)\", \"bbox\": [308, 147, 332, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [371, 147, 413, 156]}, {\"cell\": \"1.0060.669-1.512\", \"bbox\": [430, 147, 484, 156]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4086266_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Clinical Condition Type
[EMPTY_CELL]Behavioral Problems N (%)[EMPTY_CELL]ADHD N (%)Mood Disorders N (%)
Evaluate and manage the problem yourself44 (11.1)[EMPTY_CELL]21 (5.3)74 (18.8)
Evaluate and manage yourself, then refer for consultation150 (38.0)[EMPTY_CELL]103 (26.0)171 (43.4)
Evaluate yourself and then refer out for management119 (30.1)[EMPTY_CELL]106 (26.8)72 (18.3)
Refer out for evaluation and management52 (13.2)[EMPTY_CELL]75 (18.9)29 (7.4)
Refer out for evaluation and then take over management25 (6.3)[EMPTY_CELL]82 (20.7)36 (9.1)
Other combination of options5 (1.3)[EMPTY_CELL]9 (2.3)12 (3.0)
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Clinical Condition Type\", \"bbox\": [254, 5, 347, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Behavioral Problems N (%)\", \"bbox\": [105, 27, 196, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [217, 27, 285, 46]}, {\"cell\": \"ADHD N (%)\", \"bbox\": [325, 27, 377, 36]}, {\"cell\": \"Mood Disorders N (%)\", \"bbox\": [407, 27, 494, 36]}, {\"cell\": \"Evaluate and manage the problem yourself\", \"bbox\": [14, 58, 98, 77]}, {\"cell\": \"44 (11.1)\", \"bbox\": [135, 58, 167, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 58, 267, 68]}, {\"cell\": \"21 (5.3)\", \"bbox\": [337, 58, 365, 68]}, {\"cell\": \"74 (18.8)\", \"bbox\": [434, 58, 466, 68]}, {\"cell\": \"Evaluate and manage yourself, then refer for consultation\", \"bbox\": [20, 78, 98, 106]}, {\"cell\": \"150 (38.0)\", \"bbox\": [133, 78, 169, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 78, 269, 87]}, {\"cell\": \"103 (26.0)\", \"bbox\": [333, 78, 369, 87]}, {\"cell\": \"171 (43.4)\", \"bbox\": [432, 78, 469, 87]}, {\"cell\": \"Evaluate yourself and then refer out for management\", \"bbox\": [9, 106, 98, 125]}, {\"cell\": \"119 (30.1)\", \"bbox\": [133, 106, 169, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 106, 269, 116]}, {\"cell\": \"106 (26.8)\", \"bbox\": [333, 106, 369, 116]}, {\"cell\": \"72 (18.3)\", \"bbox\": [435, 106, 467, 116]}, {\"cell\": \"Refer out for evaluation and management\", \"bbox\": [16, 126, 98, 145]}, {\"cell\": \"52 (13.2)\", \"bbox\": [135, 126, 167, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 126, 267, 136]}, {\"cell\": \"75 (18.9)\", \"bbox\": [335, 126, 367, 136]}, {\"cell\": \"29 (7.4)\", \"bbox\": [437, 126, 464, 136]}, {\"cell\": \"Refer out for evaluation and then take over management\", \"bbox\": [16, 145, 98, 174]}, {\"cell\": \"25 (6.3)\", \"bbox\": [137, 145, 165, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [237, 145, 265, 155]}, {\"cell\": \"82 (20.7)\", \"bbox\": [335, 145, 367, 155]}, {\"cell\": \"36 (9.1)\", \"bbox\": [437, 145, 464, 155]}, {\"cell\": \"Other combination of options\", \"bbox\": [23, 174, 98, 193]}, {\"cell\": \"5 (1.3)\", \"bbox\": [139, 174, 163, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [239, 174, 263, 184]}, {\"cell\": \"9 (2.3)\", \"bbox\": [339, 174, 363, 184]}, {\"cell\": \"12 (3.0)\", \"bbox\": [437, 174, 464, 184]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC1079811_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]All-cause mortality HR (95% CI)
Men (n = 1647)Women (n = 1639)All (n = 3286)
Smoking trajectories (n)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Never smoker (921)[EMPTY_CELL]11
Predominantly non-smoker (1086)[EMPTY_CELL]0.99 (0.51 to 1.92)1.30 (0.86 to 1.99)
Predominantly smoker (692)[EMPTY_CELL]1.13 (0.55 to 2.35)1.61 (1.03 to 2.50)
Lifelong smoker (587)[EMPTY_CELL]4.21 (2.41 to 7.33)3.21 (2.14 to 4.79)
Most recent smoking status (n)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Never smoker (921)[EMPTY_CELL]11
Former smoker (1114)[EMPTY_CELL]1.09 (0.56 to 2.11)1.28 (0.84 to 1.95)
Current smoker (1251)[EMPTY_CELL]2.42 (1.42 to 4.13)2.39 (1.64 to 3.48)
Smoking status at 25 years (n)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Never smoker (917)[EMPTY_CELL]11
Former smoker (738)[EMPTY_CELL]0.56 (0.25 to 1.27)1.50 (0.97 to 2.32)
Current smoker (1152)[EMPTY_CELL]2.24 (1.32 to 3.79)1.90 (1.29 to 2.79)
Missing (479)[EMPTY_CELL]2.21 (1.14 to 4.26)1.95 (1.24 to 3.07)
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"All-cause mortality HR (95% CI)\", \"bbox\": [138, 4, 238, 13]}, {\"cell\": \"Men (n = 1647)\", \"bbox\": [138, 17, 188, 26]}, {\"cell\": \"Women (n = 1639)\", \"bbox\": [219, 17, 278, 26]}, {\"cell\": \"All (n = 3286)\", \"bbox\": [299, 17, 343, 26]}, {\"cell\": \"Smoking trajectories (n)\", \"bbox\": [1, 33, 72, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Never smoker (921)\", \"bbox\": [8, 43, 68, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [138, 43, 144, 52]}, {\"cell\": \"1\", \"bbox\": [219, 43, 224, 52]}, {\"cell\": \"1\", \"bbox\": [299, 43, 305, 52]}, {\"cell\": \"Predominantly non-smoker (1086)\", \"bbox\": [8, 53, 108, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [138, 53, 195, 62]}, {\"cell\": \"0.99 (0.51 to 1.92)\", \"bbox\": [219, 53, 276, 62]}, {\"cell\": \"1.30 (0.86 to 1.99)\", \"bbox\": [299, 53, 356, 62]}, {\"cell\": \"Predominantly smoker (692)\", \"bbox\": [8, 64, 91, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [138, 64, 195, 73]}, {\"cell\": \"1.13 (0.55 to 2.35)\", \"bbox\": [219, 64, 276, 73]}, {\"cell\": \"1.61 (1.03 to 2.50)\", \"bbox\": [299, 64, 356, 73]}, {\"cell\": \"Lifelong smoker (587)\", \"bbox\": [8, 74, 73, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [138, 74, 195, 83]}, {\"cell\": \"4.21 (2.41 to 7.33)\", \"bbox\": [219, 74, 276, 83]}, {\"cell\": \"3.21 (2.14 to 4.79)\", \"bbox\": [299, 74, 356, 83]}, {\"cell\": \"Most recent smoking status (n)\", \"bbox\": [1, 85, 94, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Never smoker (921)\", \"bbox\": [8, 95, 68, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [138, 95, 144, 104]}, {\"cell\": \"1\", \"bbox\": [219, 95, 224, 104]}, {\"cell\": \"1\", \"bbox\": [299, 95, 305, 104]}, {\"cell\": \"Former smoker (1114)\", \"bbox\": [8, 106, 75, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [138, 106, 195, 115]}, {\"cell\": \"1.09 (0.56 to 2.11)\", \"bbox\": [219, 106, 276, 115]}, {\"cell\": \"1.28 (0.84 to 1.95)\", \"bbox\": [299, 106, 356, 115]}, {\"cell\": \"Current smoker (1251)\", \"bbox\": [8, 116, 75, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [138, 116, 195, 125]}, {\"cell\": \"2.42 (1.42 to 4.13)\", \"bbox\": [219, 116, 276, 125]}, {\"cell\": \"2.39 (1.64 to 3.48)\", \"bbox\": [299, 116, 356, 125]}, {\"cell\": \"Smoking status at 25 years (n)\", \"bbox\": [1, 127, 93, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Never smoker (917)\", \"bbox\": [8, 137, 68, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [138, 137, 144, 146]}, {\"cell\": \"1\", \"bbox\": [219, 137, 224, 146]}, {\"cell\": \"1\", \"bbox\": [299, 137, 305, 146]}, {\"cell\": \"Former smoker (738)\", \"bbox\": [8, 148, 71, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [138, 148, 195, 156]}, {\"cell\": \"0.56 (0.25 to 1.27)\", \"bbox\": [219, 148, 276, 156]}, {\"cell\": \"1.50 (0.97 to 2.32)\", \"bbox\": [299, 148, 356, 156]}, {\"cell\": \"Current smoker (1152)\", \"bbox\": [8, 158, 75, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [138, 158, 195, 167]}, {\"cell\": \"2.24 (1.32 to 3.79)\", \"bbox\": [219, 158, 276, 167]}, {\"cell\": \"1.90 (1.29 to 2.79)\", \"bbox\": [299, 158, 356, 167]}, {\"cell\": \"Missing (479)\", \"bbox\": [8, 168, 50, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [138, 168, 195, 177]}, {\"cell\": \"2.21 (1.14 to 4.26)\", \"bbox\": [219, 168, 276, 177]}, {\"cell\": \"1.95 (1.24 to 3.07)\", \"bbox\": [299, 168, 356, 177]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2774042_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
AAsLinear regression dataLOQ (μg)LOD (μg)
Regressive equationTest range (mg/mL)r
[EMPTY_CELL]Y = 509.433X − 16.0660.050–1.0000.99980.0170.005
[EMPTY_CELL]Y = 449.506X − 5.9040.099–1.9861.00000.0400.012
[EMPTY_CELL]Y = 642.902X − 4.9160.050–1.0000.99990.0200.006
[EMPTY_CELL]Y = 890.173X − 8.8610.101–2.0161.00000.0150.004
[EMPTY_CELL]Y = 398.247X − 4.7850.050–1.0051.00000.0400.012
[EMPTY_CELL]Y = 796.495X − 7.7400.099–1.9871.00000.0300.009
[EMPTY_CELL]Y = 659.777X − 6.1100.200–4.0060.99990.0200.006
[EMPTY_CELL]Y = 419.329X − 3.3290.035–0.6930.99990.0150.005
[EMPTY_CELL]Y = 595.691X − 2.1900.050–1.0021.00000.0150.004
[EMPTY_CELL]Y = 555.808X − 1.0430.030–0.6071.00000.0100.003
[EMPTY_CELL]Y = 560.738X − 1.3760.100–1.9931.00000.0130.004
[EMPTY_CELL]Y = 455.008X − 1.1670.050–0.9901.00000.0300.009
[EMPTY_CELL]Y = 619.760X − 4.3220.050–1.0100.99990.0120.003
[EMPTY_CELL]Y = 869.350X − 1.9300.030–0.6050.99990.0100.003
\", \"cells\": [{\"cell\": \"AAs\", \"bbox\": [2, 9, 20, 20]}, {\"cell\": \"Linear regression data\", \"bbox\": [158, 4, 239, 15]}, {\"cell\": \"LOQ (μg)\", \"bbox\": [379, 6, 417, 21]}, {\"cell\": \"LOD (μg)\", \"bbox\": [461, 6, 499, 21]}, {\"cell\": \"Regressive equation\", \"bbox\": [67, 16, 140, 27]}, {\"cell\": \"Test range (mg/mL)\", \"bbox\": [191, 16, 264, 27]}, {\"cell\": \"r\", \"bbox\": [319, 13, 324, 29]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 29, 18, 40]}, {\"cell\": \"Y = 509.433X − 16.066\", \"bbox\": [61, 26, 146, 41]}, {\"cell\": \"0.050–1.000\", \"bbox\": [205, 29, 250, 40]}, {\"cell\": \"0.9998\", \"bbox\": [309, 29, 334, 40]}, {\"cell\": \"0.017\", \"bbox\": [388, 29, 408, 40]}, {\"cell\": \"0.005\", \"bbox\": [469, 29, 491, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 42, 18, 52]}, {\"cell\": \"Y = 449.506X − 5.904\", \"bbox\": [63, 38, 144, 54]}, {\"cell\": \"0.099–1.986\", \"bbox\": [205, 42, 250, 52]}, {\"cell\": \"1.0000\", \"bbox\": [309, 42, 334, 52]}, {\"cell\": \"0.040\", \"bbox\": [387, 42, 409, 52]}, {\"cell\": \"0.012\", \"bbox\": [470, 42, 490, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 54, 16, 65]}, {\"cell\": \"Y = 642.902X − 4.916\", \"bbox\": [63, 51, 144, 66]}, {\"cell\": \"0.050–1.000\", \"bbox\": [205, 54, 250, 65]}, {\"cell\": \"0.9999\", \"bbox\": [309, 54, 335, 65]}, {\"cell\": \"0.020\", \"bbox\": [387, 54, 409, 65]}, {\"cell\": \"0.006\", \"bbox\": [469, 54, 491, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 67, 17, 77]}, {\"cell\": \"Y = 890.173X − 8.861\", \"bbox\": [63, 63, 144, 79]}, {\"cell\": \"0.101–2.016\", \"bbox\": [207, 67, 248, 77]}, {\"cell\": \"1.0000\", \"bbox\": [309, 67, 334, 77]}, {\"cell\": \"0.015\", \"bbox\": [388, 67, 408, 77]}, {\"cell\": \"0.004\", \"bbox\": [469, 67, 491, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 79, 18, 90]}, {\"cell\": \"Y = 398.247X − 4.785\", \"bbox\": [63, 76, 144, 91]}, {\"cell\": \"0.050–1.005\", \"bbox\": [205, 79, 249, 90]}, {\"cell\": \"1.0000\", \"bbox\": [309, 79, 334, 90]}, {\"cell\": \"0.040\", \"bbox\": [387, 79, 409, 90]}, {\"cell\": \"0.012\", \"bbox\": [470, 79, 490, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 91, 17, 102]}, {\"cell\": \"Y = 796.495X − 7.740\", \"bbox\": [63, 88, 144, 104]}, {\"cell\": \"0.099–1.987\", \"bbox\": [205, 91, 249, 102]}, {\"cell\": \"1.0000\", \"bbox\": [309, 91, 334, 102]}, {\"cell\": \"0.030\", \"bbox\": [387, 91, 409, 102]}, {\"cell\": \"0.009\", \"bbox\": [469, 91, 491, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 104, 17, 115]}, {\"cell\": \"Y = 659.777X − 6.110\", \"bbox\": [63, 101, 144, 116]}, {\"cell\": \"0.200–4.006\", \"bbox\": [204, 104, 250, 115]}, {\"cell\": \"0.9999\", \"bbox\": [308, 104, 335, 115]}, {\"cell\": \"0.020\", \"bbox\": [387, 104, 409, 115]}, {\"cell\": \"0.006\", \"bbox\": [469, 104, 491, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 116, 17, 127]}, {\"cell\": \"Y = 419.329X − 3.329\", \"bbox\": [63, 113, 144, 129]}, {\"cell\": \"0.035–0.693\", \"bbox\": [205, 116, 250, 127]}, {\"cell\": \"0.9999\", \"bbox\": [308, 116, 335, 127]}, {\"cell\": \"0.015\", \"bbox\": [388, 116, 408, 127]}, {\"cell\": \"0.005\", \"bbox\": [469, 116, 491, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 129, 16, 139]}, {\"cell\": \"Y = 595.691X − 2.190\", \"bbox\": [63, 126, 144, 141]}, {\"cell\": \"0.050–1.002\", \"bbox\": [205, 129, 249, 139]}, {\"cell\": \"1.0000\", \"bbox\": [309, 129, 334, 139]}, {\"cell\": \"0.015\", \"bbox\": [388, 129, 408, 139]}, {\"cell\": \"0.004\", \"bbox\": [469, 129, 491, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 141, 14, 152]}, {\"cell\": \"Y = 555.808X − 1.043\", \"bbox\": [63, 138, 144, 153]}, {\"cell\": \"0.030–0.607\", \"bbox\": [204, 141, 250, 152]}, {\"cell\": \"1.0000\", \"bbox\": [309, 141, 334, 152]}, {\"cell\": \"0.010\", \"bbox\": [388, 141, 408, 152]}, {\"cell\": \"0.003\", \"bbox\": [469, 141, 491, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 154, 18, 164]}, {\"cell\": \"Y = 560.738X − 1.376\", \"bbox\": [63, 150, 144, 166]}, {\"cell\": \"0.100–1.993\", \"bbox\": [206, 154, 249, 164]}, {\"cell\": \"1.0000\", \"bbox\": [309, 154, 334, 164]}, {\"cell\": \"0.013\", \"bbox\": [388, 154, 408, 164]}, {\"cell\": \"0.004\", \"bbox\": [469, 154, 491, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 166, 18, 177]}, {\"cell\": \"Y = 455.008X − 1.167\", \"bbox\": [63, 163, 144, 178]}, {\"cell\": \"0.050–0.990\", \"bbox\": [204, 166, 250, 177]}, {\"cell\": \"1.0000\", \"bbox\": [309, 166, 334, 177]}, {\"cell\": \"0.030\", \"bbox\": [387, 166, 409, 177]}, {\"cell\": \"0.009\", \"bbox\": [469, 166, 491, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 179, 19, 189]}, {\"cell\": \"Y = 619.760X − 4.322\", \"bbox\": [63, 175, 144, 191]}, {\"cell\": \"0.050–1.010\", \"bbox\": [206, 179, 249, 189]}, {\"cell\": \"0.9999\", \"bbox\": [308, 179, 334, 189]}, {\"cell\": \"0.012\", \"bbox\": [388, 179, 408, 189]}, {\"cell\": \"0.003\", \"bbox\": [469, 179, 491, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 191, 16, 202]}, {\"cell\": \"Y = 869.350X − 1.930\", \"bbox\": [63, 188, 144, 203]}, {\"cell\": \"0.030–0.605\", \"bbox\": [205, 191, 250, 202]}, {\"cell\": \"0.9999\", \"bbox\": [308, 191, 335, 202]}, {\"cell\": \"0.010\", \"bbox\": [388, 191, 408, 202]}, {\"cell\": \"0.003\", \"bbox\": [469, 191, 491, 202]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3976834_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
AnalyteLOD (μg/mL)LOQ (μg/mL)Repeatability at LOQ (% RSD, n = 6)Linearity range (μg/mL)Calibration equation (y = area, x = μg/mL)95% confidence interval for interceptResidual standard deviation
Imp-10.060.191.360.19–7.50y = 23.382x − 1.3075(−3.81,1.20)[EMPTY_CELL]
Imp-20.110.261.550.26–7.50y = 25.474x + 0.136(−1.20,1.47)[EMPTY_CELL]
Imp-30.120.291.280.29–7.50y = 25.664x − 2.9776(−3.81,2.60)[EMPTY_CELL]
Imp-40.120.311.830.31–7.50y = 21.13x + 0.4211(−1.20,2.03)[EMPTY_CELL]
Imp-50.080.251.150.25–7.50y = 20.019x − 0.5906(−2.67,1.49)[EMPTY_CELL]
Imp-60.130.351.660.31–7.50y = 20.455x − 0.6923(−2.63,1.26)[EMPTY_CELL]
a M0.090.211.270.21–7.50y = 21.049x + 0.4519(−1.07,1.97)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Analyte\", \"bbox\": [7, 22, 42, 33]}, {\"cell\": \"LOD (μg/mL)\", \"bbox\": [54, 14, 91, 41]}, {\"cell\": \"LOQ (μg/mL)\", \"bbox\": [106, 14, 143, 41]}, {\"cell\": \"Repeatability at LOQ (% RSD, n = 6)\", \"bbox\": [150, 7, 218, 48]}, {\"cell\": \"Linearity range (μg/mL)\", \"bbox\": [222, 7, 265, 49]}, {\"cell\": \"Calibration equation (y = area, x = μg/mL)\", \"bbox\": [276, 14, 367, 41]}, {\"cell\": \"95% confidence interval for intercept\", \"bbox\": [375, 7, 445, 48]}, {\"cell\": \"Residual standard deviation\", \"bbox\": [451, 7, 492, 48]}, {\"cell\": \"Imp-1\", \"bbox\": [11, 52, 37, 63]}, {\"cell\": \"0.06\", \"bbox\": [63, 52, 82, 63]}, {\"cell\": \"0.19\", \"bbox\": [115, 52, 135, 63]}, {\"cell\": \"1.36\", \"bbox\": [174, 52, 194, 63]}, {\"cell\": \"0.19–7.50\", \"bbox\": [223, 52, 265, 63]}, {\"cell\": \"y = 23.382x − 1.3075\", \"bbox\": [278, 49, 365, 64]}, {\"cell\": \"(−3.81,1.20)\", \"bbox\": [384, 49, 436, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 52, 481, 63]}, {\"cell\": \"Imp-2\", \"bbox\": [11, 67, 37, 78]}, {\"cell\": \"0.11\", \"bbox\": [63, 67, 82, 78]}, {\"cell\": \"0.26\", \"bbox\": [115, 67, 135, 78]}, {\"cell\": \"1.55\", \"bbox\": [174, 67, 194, 78]}, {\"cell\": \"0.26–7.50\", \"bbox\": [223, 67, 265, 78]}, {\"cell\": \"y = 25.474x + 0.136\", \"bbox\": [280, 67, 363, 78]}, {\"cell\": \"(−1.20,1.47)\", \"bbox\": [384, 64, 436, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 67, 481, 78]}, {\"cell\": \"Imp-3\", \"bbox\": [11, 82, 37, 93]}, {\"cell\": \"0.12\", \"bbox\": [63, 82, 82, 93]}, {\"cell\": \"0.29\", \"bbox\": [115, 82, 135, 93]}, {\"cell\": \"1.28\", \"bbox\": [174, 82, 194, 93]}, {\"cell\": \"0.29–7.50\", \"bbox\": [223, 82, 265, 93]}, {\"cell\": \"y = 25.664x − 2.9776\", \"bbox\": [278, 79, 365, 94]}, {\"cell\": \"(−3.81,2.60)\", \"bbox\": [384, 79, 436, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 82, 481, 93]}, {\"cell\": \"Imp-4\", \"bbox\": [11, 97, 37, 108]}, {\"cell\": \"0.12\", \"bbox\": [63, 97, 82, 108]}, {\"cell\": \"0.31\", \"bbox\": [115, 97, 135, 108]}, {\"cell\": \"1.83\", \"bbox\": [174, 97, 194, 108]}, {\"cell\": \"0.31–7.50\", \"bbox\": [223, 97, 265, 108]}, {\"cell\": \"y = 21.13x + 0.4211\", \"bbox\": [280, 97, 363, 108]}, {\"cell\": \"(−1.20,2.03)\", \"bbox\": [384, 94, 436, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 97, 481, 108]}, {\"cell\": \"Imp-5\", \"bbox\": [11, 112, 37, 123]}, {\"cell\": \"0.08\", \"bbox\": [63, 112, 82, 123]}, {\"cell\": \"0.25\", \"bbox\": [115, 112, 135, 123]}, {\"cell\": \"1.15\", \"bbox\": [174, 112, 194, 123]}, {\"cell\": \"0.25–7.50\", \"bbox\": [223, 112, 265, 123]}, {\"cell\": \"y = 20.019x − 0.5906\", \"bbox\": [278, 109, 365, 124]}, {\"cell\": \"(−2.67,1.49)\", \"bbox\": [384, 109, 436, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 112, 481, 123]}, {\"cell\": \"Imp-6\", \"bbox\": [11, 127, 37, 138]}, {\"cell\": \"0.13\", \"bbox\": [63, 127, 82, 138]}, {\"cell\": \"0.35\", \"bbox\": [115, 127, 135, 138]}, {\"cell\": \"1.66\", \"bbox\": [174, 127, 194, 138]}, {\"cell\": \"0.31–7.50\", \"bbox\": [223, 127, 265, 138]}, {\"cell\": \"y = 20.455x − 0.6923\", \"bbox\": [278, 124, 365, 139]}, {\"cell\": \"(−2.63,1.26)\", \"bbox\": [384, 124, 436, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 127, 481, 138]}, {\"cell\": \"a M\", \"bbox\": [16, 140, 32, 153]}, {\"cell\": \"0.09\", \"bbox\": [63, 142, 82, 153]}, {\"cell\": \"0.21\", \"bbox\": [115, 142, 135, 153]}, {\"cell\": \"1.27\", \"bbox\": [174, 142, 194, 153]}, {\"cell\": \"0.21–7.50\", \"bbox\": [222, 142, 265, 153]}, {\"cell\": \"y = 21.049x + 0.4519\", \"bbox\": [278, 142, 365, 153]}, {\"cell\": \"(−1.07,1.97)\", \"bbox\": [384, 139, 436, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 142, 481, 153]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3855999_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]univariate[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]multivariate
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]final model
[EMPTY_CELL]HRp[EMPTY_CELL]pHRp
age>65 years2.99<0.0001[EMPTY_CELL]<0.00013.43<0.0001
male sex1.860.0018[EMPTY_CELL]0.00301.800.0038
ALC>14 × 109/L1.670.0062[EMPTY_CELL]0.17-[EMPTY_CELL]
β2M>1 × ULN1.43<0.0001[EMPTY_CELL]0.061.590.029
LNR ≥33.06<0.0001[EMPTY_CELL]0.59-[EMPTY_CELL]
Binet stage[EMPTY_CELL]<0.0001[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Aref[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]ref[EMPTY_CELL]
B3.20[EMPTY_CELL][EMPTY_CELL]0.03522.77<0.0001
C4.95[EMPTY_CELL][EMPTY_CELL]0.00283.68<0.0001
Rai stage[EMPTY_CELL]<0.0001[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
0ref[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
I-II1.66[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
III-IV5.08[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
CD38>30%1.730.0038[EMPTY_CELL]0.88-[EMPTY_CELL]
ZAP-70>20%1.530.0204[EMPTY_CELL]0.83-[EMPTY_CELL]
Unmutated IGHV2.46<0.0001[EMPTY_CELL]0.00082.040.0003
del17p3.44<0.0001[EMPTY_CELL]0.00152.060.0022
del11q1.390.248[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Year of diagnosis[EMPTY_CELL]0.0130[EMPTY_CELL](in model as strata)*
<2001ref[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
2001-20051.46[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
>20052.34[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Therapy[EMPTY_CELL]0.106[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Chemotherapyref[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Immunochemotherapy0.6[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"univariate\", \"bbox\": [108, 4, 144, 12]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"multivariate\", \"bbox\": [362, 4, 405, 12]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 17, 281, 25]}, {\"cell\": \"final model\", \"bbox\": [362, 17, 403, 25]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"HR\", \"bbox\": [108, 30, 120, 38]}, {\"cell\": \"p\", \"bbox\": [176, 32, 182, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 30, 247, 38]}, {\"cell\": \"p\", \"bbox\": [292, 32, 298, 40]}, {\"cell\": \"HR\", \"bbox\": [362, 30, 373, 38]}, {\"cell\": \"p\", \"bbox\": [419, 32, 425, 40]}, {\"cell\": \"age>65 years\", \"bbox\": [1, 44, 45, 53]}, {\"cell\": \"2.99\", \"bbox\": [108, 44, 123, 53]}, {\"cell\": \"<0.0001\", \"bbox\": [176, 44, 203, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 44, 250, 53]}, {\"cell\": \"<0.0001\", \"bbox\": [292, 44, 319, 53]}, {\"cell\": \"3.43\", \"bbox\": [362, 44, 376, 53]}, {\"cell\": \"<0.0001\", \"bbox\": [419, 44, 446, 53]}, {\"cell\": \"male sex\", \"bbox\": [1, 57, 31, 66]}, {\"cell\": \"1.86\", \"bbox\": [108, 57, 123, 66]}, {\"cell\": \"0.0018\", \"bbox\": [176, 57, 198, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 57, 250, 66]}, {\"cell\": \"0.0030\", \"bbox\": [292, 57, 315, 66]}, {\"cell\": \"1.80\", \"bbox\": [362, 57, 376, 66]}, {\"cell\": \"0.0038\", \"bbox\": [419, 57, 441, 66]}, {\"cell\": \"ALC>14 × 109/L\", \"bbox\": [1, 68, 54, 79]}, {\"cell\": \"1.67\", \"bbox\": [108, 70, 123, 79]}, {\"cell\": \"0.0062\", \"bbox\": [176, 70, 198, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 70, 250, 79]}, {\"cell\": \"0.17\", \"bbox\": [292, 70, 307, 79]}, {\"cell\": \"-\", \"bbox\": [362, 70, 366, 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{\"cell\": \"ZAP-70>20%\", \"bbox\": [1, 228, 44, 238]}, {\"cell\": \"1.53\", \"bbox\": [108, 228, 123, 238]}, {\"cell\": \"0.0204\", \"bbox\": [176, 228, 198, 238]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 228, 250, 238]}, {\"cell\": \"0.83\", \"bbox\": [292, 228, 307, 238]}, {\"cell\": \"-\", \"bbox\": [362, 228, 366, 238]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Unmutated IGHV\", \"bbox\": [1, 242, 57, 251]}, {\"cell\": \"2.46\", \"bbox\": [108, 242, 123, 251]}, {\"cell\": \"<0.0001\", \"bbox\": [176, 242, 203, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 242, 250, 251]}, {\"cell\": \"0.0008\", \"bbox\": [292, 242, 315, 251]}, {\"cell\": \"2.04\", \"bbox\": [362, 242, 376, 251]}, {\"cell\": \"0.0003\", \"bbox\": [419, 242, 441, 251]}, {\"cell\": \"del17p\", \"bbox\": [1, 255, 24, 264]}, {\"cell\": \"3.44\", \"bbox\": [108, 255, 123, 264]}, {\"cell\": \"<0.0001\", \"bbox\": [176, 255, 203, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 255, 250, 264]}, {\"cell\": \"0.0015\", \"bbox\": [292, 255, 315, 264]}, {\"cell\": \"2.06\", \"bbox\": [362, 255, 376, 264]}, {\"cell\": \"0.0022\", \"bbox\": [419, 255, 441, 264]}, {\"cell\": \"del11q\", \"bbox\": [1, 268, 24, 277]}, {\"cell\": \"1.39\", \"bbox\": [108, 268, 123, 277]}, {\"cell\": \"0.248\", \"bbox\": [176, 268, 195, 277]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 268, 247, 277]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Year of diagnosis\", \"bbox\": [1, 281, 58, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.0130\", \"bbox\": [176, 281, 198, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 281, 302, 291]}, {\"cell\": \"(in model as strata)*\", \"bbox\": [362, 281, 429, 291]}, {\"cell\": \" <2001\", \"bbox\": [15, 294, 37, 304]}, {\"cell\": \"ref\", \"bbox\": [108, 294, 118, 304]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 2001-2005\", \"bbox\": [15, 308, 50, 317]}, {\"cell\": \"1.46\", \"bbox\": [108, 308, 123, 317]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" >2005\", \"bbox\": [15, 321, 37, 330]}, {\"cell\": \"2.34\", \"bbox\": [108, 321, 123, 330]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Therapy\", \"bbox\": [1, 334, 28, 343]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.106\", \"bbox\": [176, 334, 195, 343]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 334, 247, 343]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Chemotherapy\", \"bbox\": [15, 347, 65, 357]}, {\"cell\": \"ref\", \"bbox\": [108, 347, 118, 357]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Immunochemotherapy\", \"bbox\": [1, 360, 76, 370]}, {\"cell\": \"0.6\", \"bbox\": [108, 360, 119, 370]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3297493_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariablesPatients (n=48)
[EMPTY_CELL]22/26
[EMPTY_CELL]39.3 ±10.7, 14-62
[EMPTY_CELL]23 (47.9%)
[EMPTY_CELL]4 (8.3%)
[EMPTY_CELL]21 (43.8)
[EMPTY_CELL]771.6 (209-5361)232203
[EMPTY_CELL]4.8 ± 1.17, 2.5–7
[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]18 (37.5%)
[EMPTY_CELL]16 (33.3%)
[EMPTY_CELL]14 (29.2%)
\", \"cells\": [{\"cell\": \"Variables\", \"bbox\": [4, 4, 46, 15]}, {\"cell\": \"Patients (n=48)\", \"bbox\": [245, 4, 312, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 14, 43, 30]}, {\"cell\": \"22/26\", \"bbox\": [245, 18, 270, 29]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 28, 130, 44]}, {\"cell\": \"39.3 ±10.7, 14-62\", \"bbox\": [245, 32, 318, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 46, 86, 57]}, {\"cell\": \"23 (47.9%)\", \"bbox\": [245, 46, 292, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 60, 84, 71]}, {\"cell\": \"4 (8.3%)\", \"bbox\": [245, 60, 282, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 74, 84, 85]}, {\"cell\": \"21 (43.8)\", \"bbox\": [245, 74, 284, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 87, 56, 148]}, {\"cell\": \"771.6 (209-5361)232203\", \"bbox\": [245, 87, 317, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 147, 178, 162]}, {\"cell\": \"4.8 ± 1.17, 2.5–7\", \"bbox\": [245, 150, 315, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 164, 137, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 178, 48, 190]}, {\"cell\": \"18 (37.5%)\", \"bbox\": [245, 178, 292, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 192, 51, 204]}, {\"cell\": \"16 (33.3%)\", \"bbox\": [245, 192, 292, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 206, 52, 218]}, {\"cell\": \"14 (29.2%)\", \"bbox\": [245, 206, 292, 218]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5239444_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
ProductCFT073p7p13p19Ap19Bp22p29p30HM95HM413HM419HM580HM605HM615
Adhesins[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
F1C fimbriae++/-[EMPTY_CELL]++/-+-+/-+/-+/-+/-+/-+/-+/-
P fimbriae++/-[EMPTY_CELL]++/-+/-+/-++/--+/-+++
Pix fimbriae--[EMPTY_CELL]-----------
F17 fimbriae-+[EMPTY_CELL]+----+/------
CS12 fimbriae--[EMPTY_CELL]-----------
yapH++[EMPTY_CELL]+----++----
ShlA/HecA/FhaA exoprotein family++[EMPTY_CELL]+-+--++----
Toxins[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
RTX family exoprotein++[EMPTY_CELL]+-----+----
Haemoglobin protease++[EMPTY_CELL]+-+-+-+--++
hly++[EMPTY_CELL]++/-+/---+/-+/-----
sat++[EMPTY_CELL]++++----+--
cdt--[EMPTY_CELL]------+----
cnf1-+[EMPTY_CELL]+----------
Nutrition[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
iro+-[EMPTY_CELL]+-++/-+/--+--++
pgt++/-[EMPTY_CELL]---+/-+/-----++
Other[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
tcpC+-[EMPTY_CELL]+----------
shiA homolog++[EMPTY_CELL]++++++-++++
pntC--[EMPTY_CELL]-----------
ibeA--[EMPTY_CELL]-----------
K1 capsule genes--[EMPTY_CELL]----+----++
K2 capsule genes++[EMPTY_CELL]+----------
K15 capsule genes--[EMPTY_CELL]-----------
putative FMN-dependent dehydrogenase-+[EMPTY_CELL]+----------
PAI-CFT073-asnW (pks)++[EMPTY_CELL]++/-++/--+/-+----
GimB island--[EMPTY_CELL]----+----++
\", \"cells\": [{\"cell\": \"Product\", \"bbox\": [1, 4, 30, 13]}, {\"cell\": \"CFT073\", \"bbox\": [139, 4, 166, 13]}, {\"cell\": \"p7\", \"bbox\": [170, 4, 181, 13]}, {\"cell\": \"p13\", \"bbox\": [186, 4, 201, 13]}, {\"cell\": \"p19A\", \"bbox\": [205, 4, 225, 13]}, {\"cell\": \"p19B\", \"bbox\": [229, 4, 249, 13]}, {\"cell\": \"p22\", \"bbox\": [253, 4, 268, 13]}, {\"cell\": \"p29\", \"bbox\": [272, 4, 287, 13]}, {\"cell\": \"p30\", \"bbox\": [291, 4, 306, 13]}, {\"cell\": \"HM95\", \"bbox\": [310, 4, 332, 13]}, {\"cell\": \"HM413\", \"bbox\": [336, 4, 363, 13]}, {\"cell\": \"HM419\", \"bbox\": [366, 4, 393, 13]}, {\"cell\": \"HM580\", \"bbox\": [397, 4, 423, 13]}, {\"cell\": \"HM605\", \"bbox\": [427, 4, 454, 13]}, {\"cell\": \"HM615\", \"bbox\": [458, 4, 484, 13]}, {\"cell\": \"Adhesins\", \"bbox\": [1, 17, 34, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"F1C fimbriae\", \"bbox\": [1, 29, 43, 39]}, {\"cell\": \"+\", \"bbox\": [149, 29, 156, 39]}, {\"cell\": \"+/-\", \"bbox\": [170, 29, 182, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 29, 195, 39]}, {\"cell\": \"+\", \"bbox\": [212, 29, 218, 39]}, {\"cell\": \"+/-\", \"bbox\": [233, 29, 245, 39]}, {\"cell\": \"+\", \"bbox\": [257, 29, 263, 39]}, {\"cell\": \"-\", \"bbox\": [277, 29, 281, 39]}, {\"cell\": \"+/-\", \"bbox\": [292, 29, 304, 39]}, {\"cell\": \"+/-\", \"bbox\": [315, 29, 327, 39]}, {\"cell\": \"+/-\", 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262, 338]}, {\"cell\": \"-\", \"bbox\": [277, 328, 281, 338]}, {\"cell\": \"-\", \"bbox\": [296, 328, 300, 338]}, {\"cell\": \"-\", \"bbox\": [319, 328, 323, 338]}, {\"cell\": \"-\", \"bbox\": [347, 328, 351, 338]}, {\"cell\": \"-\", \"bbox\": [378, 328, 382, 338]}, {\"cell\": \"-\", \"bbox\": [408, 328, 412, 338]}, {\"cell\": \"-\", \"bbox\": [439, 328, 443, 338]}, {\"cell\": \"-\", \"bbox\": [469, 328, 473, 338]}, {\"cell\": \"PAI-CFT073-asnW (pks)\", \"bbox\": [1, 349, 75, 358]}, {\"cell\": \"+\", \"bbox\": [149, 349, 156, 358]}, {\"cell\": \"+\", \"bbox\": [173, 349, 179, 358]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 349, 195, 358]}, {\"cell\": \"+\", \"bbox\": [212, 349, 218, 358]}, {\"cell\": \"+/-\", \"bbox\": [233, 349, 245, 358]}, {\"cell\": \"+\", \"bbox\": [257, 349, 263, 358]}, {\"cell\": \"+/-\", \"bbox\": [273, 349, 285, 358]}, {\"cell\": \"-\", \"bbox\": [296, 349, 300, 358]}, {\"cell\": \"+/-\", \"bbox\": [315, 349, 327, 358]}, {\"cell\": \"+\", \"bbox\": [346, 349, 353, 358]}, {\"cell\": \"-\", \"bbox\": [378, 349, 382, 358]}, {\"cell\": \"-\", \"bbox\": [408, 349, 412, 358]}, {\"cell\": \"-\", \"bbox\": [439, 349, 443, 358]}, {\"cell\": \"-\", \"bbox\": [469, 349, 473, 358]}, {\"cell\": \"GimB island\", \"bbox\": [1, 361, 40, 370]}, {\"cell\": \"-\", \"bbox\": [150, 361, 154, 370]}, {\"cell\": \"-\", \"bbox\": [174, 361, 178, 370]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 361, 195, 370]}, {\"cell\": \"-\", \"bbox\": [213, 361, 217, 370]}, {\"cell\": \"-\", \"bbox\": [237, 361, 241, 370]}, {\"cell\": \"-\", \"bbox\": [258, 361, 262, 370]}, {\"cell\": \"-\", \"bbox\": [277, 361, 281, 370]}, {\"cell\": \"+\", \"bbox\": [295, 361, 302, 370]}, {\"cell\": \"-\", \"bbox\": [319, 361, 323, 370]}, {\"cell\": \"-\", \"bbox\": [347, 361, 351, 370]}, {\"cell\": \"-\", \"bbox\": [378, 361, 382, 370]}, {\"cell\": \"-\", \"bbox\": [408, 361, 412, 370]}, {\"cell\": \"+\", \"bbox\": [437, 361, 444, 370]}, {\"cell\": \"+\", \"bbox\": [468, 361, 474, 370]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3155842_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
ParametersPreoperative data(mean ± SD)Postoperative 36th month data (mean ± SD)P value
Mean K reading average (D)50.63 ± 0.8745.56 ± 0.98[EMPTY_CELL]
Mean K1 reading46.94 ± 0.2646.45 ± 0.98[EMPTY_CELL]
Mean K2 reading54.38 ± 1.1747.39 ± 0.62[EMPTY_CELL]
Mean corneal thickness at thinnest location (μm)471 ± 92.36423 ± 39.85[EMPTY_CELL]
Mean postoperative myopic correction (D)—0.97 ± 0.28[EMPTY_CELL]
Mean astigmatism (D)7.55 ± 1.753.39 ± 1.26[EMPTY_CELL]
Mean postoperative astigmatic correction (D)—3.8 ± 1.67[EMPTY_CELL]
Mean UCVA (logMAR)1.30 ± 0.480.82 ± 0.22[EMPTY_CELL]
Mean BCVA (logMAR)0.90 ± 0.400.60 ± 0.30[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Parameters\", \"bbox\": [2, 9, 45, 20]}, {\"cell\": \"Preoperative data(mean ± SD)\", \"bbox\": [225, 4, 290, 25]}, {\"cell\": \"Postoperative 36th month data (mean ± SD)\", \"bbox\": [333, 4, 429, 25]}, {\"cell\": \"P value\", \"bbox\": [472, 9, 501, 20]}, {\"cell\": \"Mean K reading average (D)\", \"bbox\": [2, 28, 107, 39]}, {\"cell\": \"50.63 ± 0.87\", \"bbox\": [236, 28, 280, 39]}, {\"cell\": \"45.56 ± 0.98\", \"bbox\": [359, 28, 403, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [475, 28, 497, 39]}, {\"cell\": \"Mean K1 reading\", \"bbox\": [2, 41, 67, 52]}, {\"cell\": \"46.94 ± 0.26\", \"bbox\": [236, 41, 280, 52]}, {\"cell\": \"46.45 ± 0.98\", \"bbox\": [359, 41, 403, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [475, 41, 497, 52]}, {\"cell\": \"Mean K2 reading\", \"bbox\": [2, 54, 67, 65]}, {\"cell\": \"54.38 ± 1.17\", \"bbox\": [236, 54, 280, 65]}, {\"cell\": \"47.39 ± 0.62\", \"bbox\": [359, 54, 403, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [475, 54, 497, 65]}, {\"cell\": \"Mean corneal thickness at thinnest location (μm)\", \"bbox\": [3, 67, 182, 78]}, {\"cell\": \"471 ± 92.36\", \"bbox\": [237, 67, 279, 78]}, {\"cell\": \"423 ± 39.85\", \"bbox\": [360, 67, 402, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [475, 67, 497, 78]}, {\"cell\": \"Mean postoperative myopic correction (D)\", \"bbox\": [3, 80, 159, 91]}, {\"cell\": \"—\", \"bbox\": [253, 85, 263, 89]}, {\"cell\": \"0.97 ± 0.28\", \"bbox\": [361, 80, 401, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Mean astigmatism (D)\", \"bbox\": [3, 93, 86, 104]}, {\"cell\": \"7.55 ± 1.75\", \"bbox\": [238, 93, 278, 104]}, {\"cell\": \"3.39 ± 1.26\", \"bbox\": [361, 93, 401, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [475, 93, 497, 104]}, {\"cell\": \"Mean postoperative astigmatic correction (D)\", \"bbox\": [3, 106, 169, 117]}, {\"cell\": \"—\", \"bbox\": [253, 111, 263, 115]}, {\"cell\": \"3.8 ± 1.67\", \"bbox\": [363, 106, 399, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Mean UCVA (logMAR)\", \"bbox\": [3, 119, 92, 130]}, {\"cell\": \"1.30 ± 0.48\", \"bbox\": [238, 119, 278, 130]}, {\"cell\": \"0.82 ± 0.22\", \"bbox\": [361, 119, 401, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [475, 119, 497, 130]}, {\"cell\": \"Mean BCVA (logMAR)\", \"bbox\": [3, 132, 90, 143]}, {\"cell\": \"0.90 ± 0.40\", \"bbox\": [238, 132, 278, 143]}, {\"cell\": \"0.60 ± 0.30\", \"bbox\": [361, 132, 401, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [475, 132, 497, 143]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5822772_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
YearDisability-Adjusted Life Years*
2000CHD deaths[EMPTY_CELL]
[EMPTY_CELL]Incident non-fatal MI[EMPTY_CELL]
[EMPTY_CELL]Incident angina[EMPTY_CELL]
[EMPTY_CELL]Incident heart failure[EMPTY_CELL]
[EMPTY_CELL]YLL[EMPTY_CELL]
[EMPTY_CELL]YLD[EMPTY_CELL]
[EMPTY_CELL]DALYs[EMPTY_CELL]
[EMPTY_CELL]DALYs per 1,000 persons[EMPTY_CELL]
2010CHD deaths[EMPTY_CELL]
[EMPTY_CELL]Incident non-fatal MI[EMPTY_CELL]
[EMPTY_CELL]Incident angina[EMPTY_CELL]
[EMPTY_CELL]Incident heart failure[EMPTY_CELL]
[EMPTY_CELL]YLL[EMPTY_CELL]
[EMPTY_CELL]YLD[EMPTY_CELL]
[EMPTY_CELL]DALY[EMPTY_CELL]
[EMPTY_CELL]DALYs per 1,000 persons[EMPTY_CELL]
2020CHD deaths[EMPTY_CELL]
[EMPTY_CELL]Incident non-fatal MI[EMPTY_CELL]
[EMPTY_CELL]Incident angina[EMPTY_CELL]
[EMPTY_CELL]Incident heart failure[EMPTY_CELL]
[EMPTY_CELL]YLL[EMPTY_CELL]
[EMPTY_CELL]YLD[EMPTY_CELL]
[EMPTY_CELL]DALY[EMPTY_CELL]
[EMPTY_CELL]DALYs per 1,000 persons[EMPTY_CELL]
2030CHD deaths[EMPTY_CELL]
[EMPTY_CELL]Incident non-fatal MI[EMPTY_CELL]
[EMPTY_CELL]Incident angina[EMPTY_CELL]
[EMPTY_CELL]Incident heart failure[EMPTY_CELL]
[EMPTY_CELL]YLL[EMPTY_CELL]
[EMPTY_CELL]YLD[EMPTY_CELL]
[EMPTY_CELL]DALY[EMPTY_CELL]
[EMPTY_CELL]DALYs per 1,000 persons[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Year\", \"bbox\": [5, 5, 25, 14]}, {\"cell\": \"Disability-Adjusted Life Years*\", \"bbox\": [80, 5, 200, 14]}, {\"cell\": \"2000\", \"bbox\": [5, 27, 25, 36]}, {\"cell\": \"CHD deaths\", \"bbox\": [40, 27, 84, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 27, 240, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Incident non-fatal MI\", \"bbox\": [40, 37, 111, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 37, 240, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Incident angina\", \"bbox\": [40, 47, 91, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 47, 240, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Incident heart failure\", \"bbox\": [40, 57, 111, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 57, 240, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"YLL\", \"bbox\": [40, 68, 55, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 68, 240, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"YLD\", \"bbox\": [40, 78, 57, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 78, 240, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"DALYs\", \"bbox\": [40, 88, 69, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 88, 240, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"DALYs per 1,000 persons\", \"bbox\": [40, 99, 139, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [222, 99, 240, 108]}, {\"cell\": \"2010\", \"bbox\": [5, 121, 25, 130]}, {\"cell\": \"CHD deaths\", \"bbox\": [40, 121, 84, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 121, 240, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Incident non-fatal MI\", \"bbox\": [40, 131, 111, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 131, 240, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Incident angina\", \"bbox\": [40, 141, 91, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 141, 240, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Incident heart failure\", \"bbox\": [40, 151, 111, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 151, 240, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"YLL\", \"bbox\": [40, 162, 55, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 162, 240, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"YLD\", \"bbox\": [40, 172, 57, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 172, 240, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"DALY\", \"bbox\": [40, 182, 66, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [197, 182, 240, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"DALYs per 1,000 persons\", \"bbox\": [40, 193, 139, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [222, 193, 240, 202]}, {\"cell\": \"2020\", \"bbox\": [5, 215, 25, 224]}, {\"cell\": \"CHD deaths\", \"bbox\": [40, 215, 84, 224]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 215, 240, 224]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Incident non-fatal MI\", \"bbox\": [40, 225, 111, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 225, 240, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Incident angina\", \"bbox\": [40, 235, 91, 245]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 235, 240, 245]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Incident heart failure\", \"bbox\": [40, 245, 111, 255]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 245, 240, 255]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"YLL\", \"bbox\": [40, 256, 55, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 256, 240, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"YLD\", \"bbox\": [40, 266, 57, 276]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 266, 240, 276]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"DALY\", \"bbox\": [40, 276, 66, 286]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [197, 276, 240, 286]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"DALYs per 1,000 persons\", \"bbox\": [40, 287, 139, 296]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [222, 287, 240, 296]}, {\"cell\": \"2030\", \"bbox\": [5, 309, 25, 318]}, {\"cell\": \"CHD deaths\", \"bbox\": [40, 309, 84, 318]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 309, 240, 318]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Incident non-fatal MI\", \"bbox\": [40, 319, 111, 329]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 319, 240, 329]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Incident angina\", \"bbox\": [40, 329, 91, 339]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 329, 240, 339]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Incident heart failure\", \"bbox\": [40, 339, 111, 349]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 339, 240, 349]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"YLL\", \"bbox\": [40, 350, 55, 359]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 350, 240, 359]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"YLD\", \"bbox\": [40, 360, 57, 370]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 360, 240, 370]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"DALY\", \"bbox\": [40, 370, 66, 380]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [197, 370, 240, 380]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"DALYs per 1,000 persons\", \"bbox\": [40, 381, 139, 390]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [222, 381, 240, 390]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2631484_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
MethodCodeApproach
PowerSoil DNA Isolation Kit, MoBio LaboratoriesC1[EMPTY_CELL]
FastDNA Spin Kit for Soil, QubiogeneC2[EMPTY_CELL]
Miller et al.(1999)M[EMPTY_CELL]
Schmidt et al.(1991)S[EMPTY_CELL]
Zhou et al.(1996)Z[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Method\", \"bbox\": [9, 3, 37, 13]}, {\"cell\": \"Code\", \"bbox\": [170, 3, 189, 13]}, {\"cell\": \"Approach\", \"bbox\": [339, 3, 374, 13]}, {\"cell\": \"PowerSoil DNA Isolation Kit, MoBio Laboratories\", \"bbox\": [9, 17, 140, 35]}, {\"cell\": \"C1\", \"bbox\": [174, 17, 185, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [209, 17, 503, 35]}, {\"cell\": \"FastDNA Spin Kit for Soil, Qubiogene\", \"bbox\": [9, 37, 143, 47]}, {\"cell\": \"C2\", \"bbox\": [174, 37, 185, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 37, 503, 56]}, {\"cell\": \"Miller et al.(1999)\", \"bbox\": [9, 58, 76, 68]}, {\"cell\": \"M\", \"bbox\": [175, 58, 184, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [209, 58, 492, 76]}, {\"cell\": \"Schmidt et al.(1991)\", \"bbox\": [9, 78, 83, 88]}, {\"cell\": \"S\", \"bbox\": [176, 78, 183, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [209, 78, 501, 114]}, {\"cell\": \"Zhou et al.(1996)\", \"bbox\": [9, 116, 72, 126]}, {\"cell\": \"Z\", \"bbox\": [176, 116, 183, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [209, 116, 495, 134]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4036026_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Features of the interventionDescription
[EMPTY_CELL]Psycho-education, Cognitive Behavioural Therapy techniques, such as healthy thinking adapted from the Thinking Healthy programme by Atif Rahman, and Behaviour Activation.
[EMPTY_CELL]Manual based individual therapy and psycho-social support provided over6–8 clinic based sessions.Session 1: Psycho-education on depressionSession 2: Problem solvingSession 3: Behaviour ActivationSession 4: Healthy thinkingSession 5: Psycho-education on birth preparation and Relaxation.Session 6: Termination and evaluation
[EMPTY_CELL]3 step process in all the sessionsStep 1: Introduction – greeting and follow up on issues from previous meeting or session, or homework discussion.Step 2: Exploration – discussion of purpose of the session and topic, probing and clarification of issuesStep 3: Termination - homework, follow up date and termination
[EMPTY_CELL]Counselling manual, voice recorder, relaxation CD, activity workbook and resource list for participants.
\", \"cells\": [{\"cell\": \"Features of the intervention\", \"bbox\": [1, 4, 51, 22]}, {\"cell\": \"Description\", \"bbox\": [70, 4, 108, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 26, 55, 36]}, {\"cell\": \"Psycho-education, Cognitive Behavioural Therapy techniques, such as healthy thinking adapted from the Thinking Healthy programme by Atif Rahman, and Behaviour Activation.\", \"bbox\": [70, 26, 235, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 67, 53, 86]}, {\"cell\": \"Manual based individual therapy and psycho-social support provided over6–8 clinic based sessions.Session 1: Psycho-education on depressionSession 2: Problem solvingSession 3: Behaviour ActivationSession 4: Healthy thinkingSession 5: Psycho-education on birth preparation and Relaxation.Session 6: Termination and evaluation\", \"bbox\": [70, 67, 236, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 162, 53, 181]}, {\"cell\": \"3 step process in all the sessionsStep 1: Introduction – greeting and follow up on issues from previous meeting or session, or homework discussion.Step 2: Exploration – discussion of purpose of the session and topic, probing and clarification of issuesStep 3: Termination - homework, follow up date and termination\", \"bbox\": [70, 162, 233, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 239, 19, 249]}, {\"cell\": \"Counselling manual, voice recorder, relaxation CD, activity workbook and resource list for participants.\", \"bbox\": [70, 239, 235, 258]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4881204_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Multivariate analysis
[EMPTY_CELL]OR95% CIP
Woman’s age (years)[EMPTY_CELL][EMPTY_CELL]<0.001*
< 30[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
30-34[EMPTY_CELL]1.21-1.77[EMPTY_CELL]
35-39[EMPTY_CELL]1.23-1.83[EMPTY_CELL]
≥ 40[EMPTY_CELL]1.33-2.15[EMPTY_CELL]
Inclusion center[EMPTY_CELL][EMPTY_CELL]<0.001
Marseille[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Bois-Guillaume[EMPTY_CELL]0.63-0.97[EMPTY_CELL]
Sèvres[EMPTY_CELL]0.83-1.37[EMPTY_CELL]
Besançon[EMPTY_CELL]0.76-1.30[EMPTY_CELL]
Caen[EMPTY_CELL]1.40-2.41[EMPTY_CELL]
Cochin[EMPTY_CELL]0.82-1.39[EMPTY_CELL]
Clermont-Ferrand[EMPTY_CELL]0.89-1.56[EMPTY_CELL]
Montsouris[EMPTY_CELL]1.18-2.05[EMPTY_CELL]
Year of 1st oocyte retrieval[EMPTY_CELL][EMPTY_CELL]<0.001*
2000[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
2001[EMPTY_CELL]0.94-1.35[EMPTY_CELL]
2002[EMPTY_CELL]1.19-1.72[EMPTY_CELL]
Origin of infertility[EMPTY_CELL][EMPTY_CELL]0.206
Female[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Male[EMPTY_CELL]0.97-1.23[EMPTY_CELL]
Couple[EMPTY_CELL]0.74-1.09[EMPTY_CELL]
Unexplained[EMPTY_CELL]0.67-1.04[EMPTY_CELL]
Number of embryos obtained at 1stattempt[EMPTY_CELL][EMPTY_CELL]0.009*
0-1[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
2-5[EMPTY_CELL]0.93-1.31[EMPTY_CELL]
> 5[EMPTY_CELL]1.06-1.55[EMPTY_CELL]
Number of attempts[EMPTY_CELL][EMPTY_CELL]<0.001*
1[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
2-4[EMPTY_CELL]1.37-1.84[EMPTY_CELL]
>4[EMPTY_CELL]2.78-5.08[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Multivariate analysis\", \"bbox\": [144, 4, 217, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"OR\", \"bbox\": [124, 17, 136, 27]}, {\"cell\": \"95% CI\", \"bbox\": [158, 17, 184, 27]}, {\"cell\": \"P\", \"bbox\": [207, 17, 213, 25]}, {\"cell\": \"Woman’s age (years)\", \"bbox\": [1, 30, 75, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.001*\", \"bbox\": [207, 30, 235, 40]}, {\"cell\": \" < 30\", \"bbox\": [3, 44, 21, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 44, 130, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 30-34\", \"bbox\": [3, 58, 23, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 58, 139, 68]}, {\"cell\": \"1.21-1.77\", \"bbox\": [158, 58, 188, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 35-39\", \"bbox\": [3, 72, 23, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 72, 139, 82]}, {\"cell\": \"1.23-1.83\", \"bbox\": [158, 72, 188, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" ≥ 40\", \"bbox\": [3, 86, 20, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 86, 139, 96]}, {\"cell\": \"1.33-2.15\", \"bbox\": [158, 86, 188, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Inclusion center\", \"bbox\": [1, 100, 58, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.001\", \"bbox\": [207, 100, 232, 110]}, {\"cell\": \" Marseille\", \"bbox\": [3, 114, 33, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 114, 130, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Bois-Guillaume\", \"bbox\": [3, 128, 52, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 128, 139, 138]}, {\"cell\": \"0.63-0.97\", \"bbox\": [158, 128, 188, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Sèvres\", \"bbox\": [3, 142, 25, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 142, 139, 152]}, {\"cell\": \"0.83-1.37\", \"bbox\": [158, 142, 188, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Besançon\", \"bbox\": [3, 156, 35, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 156, 139, 166]}, {\"cell\": \"0.76-1.30\", \"bbox\": [158, 156, 188, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Caen\", \"bbox\": [3, 170, 21, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 170, 139, 180]}, {\"cell\": \"1.40-2.41\", \"bbox\": [158, 170, 188, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Cochin\", \"bbox\": [3, 184, 27, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 184, 139, 193]}, {\"cell\": \"0.82-1.39\", \"bbox\": [158, 184, 188, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Clermont-Ferrand\", \"bbox\": [3, 198, 61, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 198, 139, 207]}, {\"cell\": \"0.89-1.56\", \"bbox\": [158, 198, 188, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Montsouris\", \"bbox\": [3, 212, 40, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 212, 139, 221]}, {\"cell\": \"1.18-2.05\", \"bbox\": [158, 212, 188, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Year of 1st oocyte retrieval\", \"bbox\": [1, 226, 96, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.001*\", \"bbox\": [207, 226, 235, 236]}, {\"cell\": \" 2000\", \"bbox\": [3, 240, 20, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 240, 130, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 2001\", \"bbox\": [3, 254, 20, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 254, 139, 264]}, {\"cell\": \"0.94-1.35\", \"bbox\": [158, 254, 188, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 2002\", \"bbox\": [3, 268, 20, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 268, 139, 278]}, {\"cell\": \"1.19-1.72\", \"bbox\": [158, 268, 188, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Origin of infertility\", \"bbox\": [1, 282, 67, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.206\", \"bbox\": [207, 282, 226, 292]}, {\"cell\": \" Female\", \"bbox\": [3, 296, 28, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 296, 130, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Male\", \"bbox\": [3, 310, 20, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 310, 139, 320]}, {\"cell\": \"0.97-1.23\", \"bbox\": [158, 310, 188, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Couple\", \"bbox\": [3, 324, 28, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 324, 139, 334]}, {\"cell\": \"0.74-1.09\", \"bbox\": [158, 324, 188, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Unexplained\", \"bbox\": [3, 338, 45, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 338, 139, 348]}, {\"cell\": \"0.67-1.04\", \"bbox\": [158, 338, 188, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Number of embryos obtained at 1stattempt\", \"bbox\": [1, 352, 106, 371]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.009*\", \"bbox\": [207, 352, 229, 362]}, {\"cell\": \" 0-1\", \"bbox\": [3, 375, 15, 384]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 375, 130, 384]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 2-5\", \"bbox\": [3, 389, 15, 398]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 389, 139, 398]}, {\"cell\": \"0.93-1.31\", \"bbox\": [158, 389, 188, 398]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" > 5\", \"bbox\": [3, 403, 17, 412]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 403, 139, 412]}, {\"cell\": \"1.06-1.55\", \"bbox\": [158, 403, 188, 412]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Number of attempts\", \"bbox\": [1, 417, 73, 427]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.001*\", \"bbox\": [207, 417, 235, 426]}, {\"cell\": \" 1\", \"bbox\": [3, 431, 9, 441]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 431, 130, 441]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 2-4\", \"bbox\": [3, 445, 15, 455]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 445, 139, 455]}, {\"cell\": \"1.37-1.84\", \"bbox\": [158, 445, 188, 455]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" >4\", \"bbox\": [3, 459, 15, 469]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 459, 139, 469]}, {\"cell\": \"2.78-5.08\", \"bbox\": [158, 459, 188, 469]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3489673_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Inattentivetype(N = 15)Hyperactive-impulsive type(N = 11)Combinedtype(N = 24)TeststatisticP value
[EMPTY_CELL]n(%)n(%)n(%)[EMPTY_CELL]0.282
[EMPTY_CELL]10 (66.7)9 (81.8)21 (87.5)2.53[EMPTY_CELL]
[EMPTY_CELL]5 (33.3)2 (18.2)3 (12.5)[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Mean(SD)Mean(SD)Mean(SD)[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]8.1 (1.8)7.5 (1.6)7.3 (1.5)1.130.332
[EMPTY_CELL]130.5 (10.9)127.8 (9.7)126.5 (8.4)0.820.445
[EMPTY_CELL]29.5 (7.5)27.7 (7.0)26.7 (6.2)0.770.467
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]69.0 (12.4)61.6 (8.2)66.7 (8.3)1.940.155
[EMPTY_CELL]63.3 (10.3)64.6 (7.4)59.3 (8.6)1.690.196
[EMPTY_CELL]65. 7(11.9)61.1 (9.8)61.8 (10.9)0.740.485
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]17.3 (3.8)14.9 (4.4)17.5 (4.2)1.600.212
[EMPTY_CELL]13.3 (5.8)17.5 (4.7)17.5 (4.6)3.770.030
[EMPTY_CELL]11.3 (5.8)12.0 (4.8)9.6 (4.4)1.060.355
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]30.8 (4.5)31.8 (5.4)34.3 (5.7)2.170.125
[EMPTY_CELL]16.5 (2.3)12.7 (3.1)17.9 (3.3)11.11[EMPTY_CELL]
[EMPTY_CELL]14.3 (3.8)19.2 (3.2)16.4 (4.2)4.880.012
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]53.7 (21.6)58.3 (16.5)63.4 (24.0)0.910.408
[EMPTY_CELL]53.4 (10.3)53.3 (10.7)63.7 (30.4)1.320.277
[EMPTY_CELL]46.4 (10.5)47.4 (12.7)48.3 (10.8)0.130.877
[EMPTY_CELL]57.6 (13.3)52.9 (9.9)58.7 (15.2)0.700.502
[EMPTY_CELL]54.3 (10.4)54.8 (8.8)60.5 (12.6)1.780.181
[EMPTY_CELL]53.1 (8.9)54.4 (8.9)58.4 (10.7)1.520.230
[EMPTY_CELL]47.9 (8.7)50.4 (13.2)51.0 (8.2)0.480.623
[EMPTY_CELL]50.7 (11.7)47.5 (6.8)54.0 (12.0)1.390.258
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Inattentivetype(N = 15)\", \"bbox\": [129, 4, 168, 31]}, {\"cell\": \"Hyperactive-impulsive type(N = 11)\", \"bbox\": [206, 4, 260, 31]}, {\"cell\": \"Combinedtype(N = 24)\", \"bbox\": [298, 4, 335, 31]}, {\"cell\": \"Teststatistic\", \"bbox\": [373, 4, 402, 22]}, {\"cell\": \"P value\", \"bbox\": [440, 4, 467, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 35, 28, 45]}, {\"cell\": \"n(%)\", \"bbox\": [140, 35, 158, 45]}, {\"cell\": \"n(%)\", \"bbox\": [224, 35, 242, 45]}, {\"cell\": \"n(%)\", \"bbox\": [308, 35, 325, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.282\", \"bbox\": [444, 35, 463, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 47, 33, 57]}, {\"cell\": \"10 (66.7)\", \"bbox\": [134, 47, 163, 57]}, {\"cell\": \"9 (81.8)\", \"bbox\": [220, 47, 246, 57]}, {\"cell\": \"21 (87.5)\", \"bbox\": [302, 47, 331, 57]}, {\"cell\": \"2.53\", \"bbox\": [380, 47, 395, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 59, 40, 68]}, {\"cell\": \"5 (33.3)\", \"bbox\": [136, 59, 161, 68]}, {\"cell\": \"2 (18.2)\", \"bbox\": [220, 59, 246, 68]}, {\"cell\": \"3 (12.5)\", \"bbox\": [304, 59, 329, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Mean(SD)\", \"bbox\": [131, 71, 166, 80]}, {\"cell\": \"Mean(SD)\", \"bbox\": [215, 71, 251, 80]}, {\"cell\": \"Mean(SD)\", \"bbox\": [299, 71, 334, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 83, 39, 92]}, {\"cell\": \"8.1 (1.8)\", \"bbox\": [135, 83, 162, 92]}, {\"cell\": \"7.5 (1.6)\", \"bbox\": [220, 83, 246, 92]}, {\"cell\": \"7.3 (1.5)\", \"bbox\": [303, 83, 330, 92]}, {\"cell\": \"1.13\", \"bbox\": [380, 83, 395, 92]}, {\"cell\": \"0.332\", \"bbox\": [444, 83, 463, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 95, 42, 104]}, {\"cell\": \"130.5 (10.9)\", \"bbox\": [130, 95, 168, 104]}, {\"cell\": \"127.8 (9.7)\", \"bbox\": [216, 95, 250, 104]}, {\"cell\": \"126.5 (8.4)\", \"bbox\": [299, 95, 334, 104]}, {\"cell\": \"0.82\", \"bbox\": [380, 95, 395, 104]}, {\"cell\": \"0.445\", \"bbox\": [444, 95, 463, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 107, 42, 116]}, {\"cell\": \"29.5 (7.5)\", \"bbox\": [133, 107, 164, 116]}, {\"cell\": \"27.7 (7.0)\", \"bbox\": [218, 107, 248, 116]}, {\"cell\": \"26.7 (6.2)\", \"bbox\": [301, 107, 332, 116]}, {\"cell\": \"0.77\", \"bbox\": [380, 107, 395, 116]}, {\"cell\": \"0.467\", \"bbox\": [444, 107, 463, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 119, 20, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 131, 55, 140]}, {\"cell\": \"69.0 (12.4)\", \"bbox\": [132, 131, 166, 140]}, {\"cell\": \"61.6 (8.2)\", \"bbox\": [218, 131, 248, 140]}, {\"cell\": \"66.7 (8.3)\", \"bbox\": [301, 131, 332, 140]}, {\"cell\": \"1.94\", \"bbox\": [380, 131, 395, 140]}, {\"cell\": \"0.155\", \"bbox\": [444, 131, 463, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [16, 143, 53, 152]}, {\"cell\": \"63.3 (10.3)\", \"bbox\": [132, 143, 166, 152]}, {\"cell\": \"64.6 (7.4)\", \"bbox\": [218, 143, 248, 152]}, {\"cell\": \"59.3 (8.6)\", \"bbox\": [301, 143, 332, 152]}, {\"cell\": \"1.69\", \"bbox\": [380, 143, 395, 152]}, {\"cell\": \"0.196\", \"bbox\": [444, 143, 463, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [16, 155, 57, 164]}, {\"cell\": \"65. 7(11.9)\", \"bbox\": [132, 155, 166, 164]}, {\"cell\": \"61.1 (9.8)\", \"bbox\": [218, 155, 248, 164]}, {\"cell\": \"61.8 (10.9)\", \"bbox\": [299, 155, 334, 164]}, {\"cell\": \"0.74\", \"bbox\": [380, 155, 395, 164]}, {\"cell\": \"0.485\", \"bbox\": [444, 155, 463, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 167, 31, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [16, 179, 51, 188]}, {\"cell\": \"17.3 (3.8)\", \"bbox\": [133, 179, 164, 188]}, {\"cell\": \"14.9 (4.4)\", \"bbox\": [218, 179, 248, 188]}, {\"cell\": \"17.5 (4.2)\", \"bbox\": [301, 179, 332, 188]}, {\"cell\": \"1.60\", \"bbox\": [380, 179, 395, 188]}, {\"cell\": \"0.212\", \"bbox\": [444, 179, 463, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 189, 57, 200]}, {\"cell\": \"13.3 (5.8)\", \"bbox\": [133, 191, 164, 200]}, {\"cell\": \"17.5 (4.7)\", \"bbox\": [218, 191, 248, 200]}, {\"cell\": \"17.5 (4.6)\", \"bbox\": [301, 191, 332, 200]}, {\"cell\": \"3.77\", \"bbox\": [380, 191, 395, 200]}, {\"cell\": \"0.030\", \"bbox\": [443, 191, 464, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 202, 58, 212]}, {\"cell\": \"11.3 (5.8)\", \"bbox\": [133, 202, 164, 212]}, {\"cell\": \"12.0 (4.8)\", \"bbox\": [218, 202, 248, 212]}, {\"cell\": \"9.6 (4.4)\", \"bbox\": [303, 202, 330, 212]}, {\"cell\": \"1.06\", \"bbox\": [380, 202, 395, 212]}, {\"cell\": \"0.355\", \"bbox\": [444, 202, 463, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 214, 35, 224]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 226, 52, 236]}, {\"cell\": \"30.8 (4.5)\", \"bbox\": [133, 226, 164, 236]}, {\"cell\": \"31.8 (5.4)\", \"bbox\": [218, 226, 248, 236]}, {\"cell\": \"34.3 (5.7)\", \"bbox\": [301, 226, 332, 236]}, {\"cell\": \"2.17\", \"bbox\": [380, 226, 395, 236]}, {\"cell\": \"0.125\", \"bbox\": [444, 226, 463, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 237, 55, 248]}, {\"cell\": \"16.5 (2.3)\", \"bbox\": [133, 238, 164, 248]}, {\"cell\": \"12.7 (3.1)\", \"bbox\": [218, 238, 248, 248]}, {\"cell\": \"17.9 (3.3)\", \"bbox\": [301, 238, 332, 248]}, {\"cell\": \"11.11\", \"bbox\": [378, 238, 397, 248]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 238, 466, 248]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 249, 61, 260]}, {\"cell\": \"14.3 (3.8)\", \"bbox\": [133, 250, 164, 260]}, {\"cell\": \"19.2 (3.2)\", \"bbox\": [218, 250, 248, 260]}, {\"cell\": \"16.4 (4.2)\", \"bbox\": [301, 250, 332, 260]}, {\"cell\": \"4.88\", \"bbox\": [380, 250, 395, 260]}, {\"cell\": \"0.012\", \"bbox\": [443, 250, 464, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 262, 16, 272]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 274, 74, 284]}, {\"cell\": \"53.7 (21.6)\", \"bbox\": [132, 274, 166, 284]}, {\"cell\": \"58.3 (16.5)\", \"bbox\": [216, 274, 250, 284]}, {\"cell\": \"63.4 (24.0)\", \"bbox\": [299, 274, 334, 284]}, {\"cell\": \"0.91\", \"bbox\": [380, 274, 395, 284]}, {\"cell\": \"0.408\", \"bbox\": [444, 274, 463, 284]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 286, 47, 296]}, {\"cell\": \"53.4 (10.3)\", \"bbox\": [132, 286, 166, 296]}, {\"cell\": \"53.3 (10.7)\", \"bbox\": [216, 286, 250, 296]}, {\"cell\": \"63.7 (30.4)\", \"bbox\": [299, 286, 334, 296]}, {\"cell\": \"1.32\", \"bbox\": [380, 286, 395, 296]}, {\"cell\": \"0.277\", \"bbox\": [444, 286, 463, 296]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 298, 57, 308]}, {\"cell\": \"46.4 (10.5)\", \"bbox\": [132, 298, 166, 308]}, {\"cell\": \"47.4 (12.7)\", \"bbox\": [216, 298, 250, 308]}, {\"cell\": \"48.3 (10.8)\", \"bbox\": [299, 298, 334, 308]}, {\"cell\": \"0.13\", \"bbox\": [380, 298, 395, 308]}, {\"cell\": \"0.877\", \"bbox\": [444, 298, 463, 308]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 310, 37, 320]}, {\"cell\": \"57.6 (13.3)\", \"bbox\": [132, 310, 166, 320]}, {\"cell\": \"52.9 (9.9)\", \"bbox\": [218, 310, 248, 320]}, {\"cell\": \"58.7 (15.2)\", \"bbox\": [299, 310, 334, 320]}, {\"cell\": \"0.70\", \"bbox\": [380, 310, 395, 320]}, {\"cell\": \"0.502\", \"bbox\": [444, 310, 463, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 322, 47, 332]}, {\"cell\": \"54.3 (10.4)\", \"bbox\": [132, 322, 166, 332]}, {\"cell\": \"54.8 (8.8)\", \"bbox\": [218, 322, 248, 332]}, {\"cell\": \"60.5 (12.6)\", \"bbox\": [299, 322, 334, 332]}, {\"cell\": \"1.78\", \"bbox\": [380, 322, 395, 332]}, {\"cell\": \"0.181\", \"bbox\": [444, 322, 463, 332]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 334, 48, 343]}, {\"cell\": \"53.1 (8.9)\", \"bbox\": [133, 334, 164, 343]}, {\"cell\": \"54.4 (8.9)\", \"bbox\": [218, 334, 248, 343]}, {\"cell\": \"58.4 (10.7)\", \"bbox\": [299, 334, 334, 343]}, {\"cell\": \"1.52\", \"bbox\": [380, 334, 395, 343]}, {\"cell\": \"0.230\", \"bbox\": [444, 334, 463, 343]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 346, 57, 355]}, {\"cell\": \"47.9 (8.7)\", \"bbox\": [133, 346, 164, 355]}, {\"cell\": \"50.4 (13.2)\", \"bbox\": [216, 346, 250, 355]}, {\"cell\": \"51.0 (8.2)\", \"bbox\": [301, 346, 332, 355]}, {\"cell\": \"0.48\", \"bbox\": [380, 346, 395, 355]}, {\"cell\": \"0.623\", \"bbox\": [444, 346, 463, 355]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 358, 65, 367]}, {\"cell\": \"50.7 (11.7)\", \"bbox\": [132, 358, 166, 367]}, {\"cell\": \"47.5 (6.8)\", \"bbox\": [218, 358, 248, 367]}, {\"cell\": \"54.0 (12.0)\", \"bbox\": [299, 358, 334, 367]}, {\"cell\": \"1.39\", \"bbox\": [380, 358, 395, 367]}, {\"cell\": \"0.258\", \"bbox\": [444, 358, 463, 367]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3111344_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Cohort 1Cohort 2
Parameter25 M (n = 10)50 M (n = 10)P1 (n = 10)P value75 M (n = 10)150 M (n = 10)P2 (n = 10)P value
Age (years)[EMPTY_CELL]57.30 ± 9.4554.90 ± 8.270.7355.00 ± 6.7254.00 ± 6.7356.70 ± 5.190.6
Female (n)[EMPTY_CELL]810NA857NA
Male (n)[EMPTY_CELL]20NA253NA
Height (cm)[EMPTY_CELL]157.30 ± 12.23152.25 ± 9.720.39158.40 ± 8.86158.88 ± 9.30159.70 ± 10.670.9
Weight (kg)[EMPTY_CELL]69.00 ± 14.6266.10 ± 7.670.4571.30 ± 9.0966.00 ± 9.1366.90 ± 8.570.39
BMI (kg/m2)[EMPTY_CELL]27.74 ± 4.1628.84 ± 4.910.7628.38 ± 2.3826.33 ± 4.4826.40 ± 3.990.3
WOMAC total[EMPTY_CELL]1498.4 ± 407.41239.6 ± 472.20.281470.6 ± 471.01388.1 ± 508.81382.0 ± 324.70.9
ICOAP total[EMPTY_CELL]59.3 ± 21.749.3 ± 18.70.3858.4 ± 20.746.4 ± 22.054.8 ± 17.80.54
VAS[EMPTY_CELL]73.7 ± 15.261.0 ± 23.80.2457.4 ± 29.046.6 ± 23.665.3 ± 12.20.11
WORMS total score[EMPTY_CELL]78.8 ± 40.976.5 ± 23.50.6571.3 ± 21.462.0 ± 17.970.8 ± 14.70.48
Kellgren and Lawrence Grade 2 (n)[EMPTY_CELL]13NA132NA
Kellgren and Lawrence Grade 3 (n)[EMPTY_CELL]97NA978NA
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Cohort 1\", \"bbox\": [119, 4, 149, 13]}, {\"cell\": \"Cohort 2\", \"bbox\": [303, 4, 333, 13]}, {\"cell\": \"Parameter\", \"bbox\": [1, 17, 35, 27]}, {\"cell\": \"25 M (n = 10)\", \"bbox\": [119, 17, 163, 27]}, {\"cell\": \"50 M (n = 10)\", \"bbox\": [170, 17, 215, 27]}, {\"cell\": \"P1 (n = 10)\", \"bbox\": [222, 17, 258, 27]}, {\"cell\": \"P value\", \"bbox\": [274, 17, 299, 27]}, {\"cell\": \"75 M (n = 10)\", \"bbox\": [303, 17, 348, 27]}, {\"cell\": \"150 M (n = 10)\", \"bbox\": [355, 17, 403, 27]}, {\"cell\": \"P2 (n = 10)\", \"bbox\": [408, 17, 444, 27]}, {\"cell\": \"P value\", \"bbox\": [459, 17, 484, 27]}, {\"cell\": \"Age (years)\", \"bbox\": [1, 30, 38, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [119, 30, 158, 40]}, {\"cell\": \"57.30 ± 9.45\", \"bbox\": [170, 30, 210, 40]}, {\"cell\": \"54.90 ± 8.27\", \"bbox\": [222, 30, 261, 40]}, {\"cell\": \"0.73\", \"bbox\": [274, 30, 288, 40]}, {\"cell\": \"55.00 ± 6.72\", \"bbox\": [303, 30, 343, 40]}, {\"cell\": \"54.00 ± 6.73\", \"bbox\": [355, 30, 394, 40]}, {\"cell\": \"56.70 ± 5.19\", \"bbox\": [408, 30, 447, 40]}, {\"cell\": \"0.6\", \"bbox\": [459, 30, 470, 40]}, {\"cell\": \"Female (n)\", \"bbox\": [1, 44, 36, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [119, 44, 124, 54]}, {\"cell\": \"8\", \"bbox\": [170, 44, 176, 54]}, {\"cell\": \"10\", \"bbox\": [222, 44, 232, 54]}, {\"cell\": \"NA\", \"bbox\": [274, 44, 285, 54]}, {\"cell\": \"8\", \"bbox\": [303, 44, 309, 54]}, {\"cell\": \"5\", \"bbox\": [355, 44, 361, 54]}, {\"cell\": \"7\", \"bbox\": [408, 44, 414, 54]}, {\"cell\": \"NA\", \"bbox\": [459, 44, 471, 54]}, {\"cell\": \"Male (n)\", \"bbox\": [1, 58, 28, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [119, 58, 124, 68]}, {\"cell\": \"2\", \"bbox\": [170, 58, 176, 68]}, {\"cell\": \"0\", \"bbox\": [222, 58, 228, 68]}, {\"cell\": \"NA\", \"bbox\": [274, 58, 285, 68]}, {\"cell\": \"2\", \"bbox\": [303, 58, 309, 68]}, {\"cell\": \"5\", \"bbox\": [355, 58, 361, 68]}, {\"cell\": \"3\", \"bbox\": [408, 58, 414, 68]}, {\"cell\": \"NA\", \"bbox\": [459, 58, 471, 68]}, {\"cell\": \"Height (cm)\", \"bbox\": [1, 72, 40, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [119, 72, 162, 82]}, {\"cell\": \"157.30 ± 12.23\", \"bbox\": [170, 72, 217, 82]}, {\"cell\": \"152.25 ± 9.72\", \"bbox\": [222, 72, 265, 82]}, {\"cell\": \"0.39\", \"bbox\": [274, 72, 288, 82]}, {\"cell\": \"158.40 ± 8.86\", \"bbox\": [303, 72, 346, 82]}, {\"cell\": \"158.88 ± 9.30\", \"bbox\": [355, 72, 398, 82]}, {\"cell\": \"159.70 ± 10.67\", \"bbox\": [408, 72, 455, 82]}, {\"cell\": \"0.9\", \"bbox\": [459, 72, 470, 82]}, {\"cell\": \"Weight (kg)\", \"bbox\": [1, 86, 40, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [119, 86, 162, 96]}, {\"cell\": \"69.00 ± 14.62\", \"bbox\": [170, 86, 214, 96]}, {\"cell\": \"66.10 ± 7.67\", \"bbox\": [222, 86, 261, 96]}, {\"cell\": \"0.45\", \"bbox\": [274, 86, 288, 96]}, {\"cell\": \"71.30 ± 9.09\", \"bbox\": [303, 86, 343, 96]}, {\"cell\": \"66.00 ± 9.13\", \"bbox\": [355, 86, 394, 96]}, {\"cell\": \"66.90 ± 8.57\", \"bbox\": [408, 86, 447, 96]}, {\"cell\": \"0.39\", \"bbox\": [459, 86, 474, 96]}, {\"cell\": \"BMI (kg/m2)\", \"bbox\": [1, 99, 41, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [119, 100, 158, 110]}, {\"cell\": \"27.74 ± 4.16\", \"bbox\": [170, 100, 210, 110]}, {\"cell\": \"28.84 ± 4.91\", \"bbox\": [222, 100, 261, 110]}, {\"cell\": \"0.76\", \"bbox\": [274, 100, 288, 110]}, {\"cell\": \"28.38 ± 2.38\", \"bbox\": [303, 100, 343, 110]}, {\"cell\": \"26.33 ± 4.48\", \"bbox\": [355, 100, 394, 110]}, {\"cell\": \"26.40 ± 3.99\", \"bbox\": [408, 100, 447, 110]}, {\"cell\": \"0.3\", \"bbox\": [459, 100, 470, 110]}, {\"cell\": \"WOMAC total\", \"bbox\": [1, 114, 46, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [119, 114, 166, 124]}, {\"cell\": \"1498.4 ± 407.4\", \"bbox\": [170, 114, 217, 124]}, {\"cell\": \"1239.6 ± 472.2\", \"bbox\": [222, 114, 269, 124]}, {\"cell\": \"0.28\", \"bbox\": [274, 114, 288, 124]}, {\"cell\": \"1470.6 ± 471.0\", \"bbox\": [303, 114, 350, 124]}, {\"cell\": \"1388.1 ± 508.8\", \"bbox\": [355, 114, 402, 124]}, {\"cell\": \"1382.0 ± 324.7\", \"bbox\": [408, 114, 455, 124]}, {\"cell\": \"0.9\", \"bbox\": [459, 114, 470, 124]}, {\"cell\": \"ICOAP total\", \"bbox\": [1, 128, 39, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [119, 128, 154, 138]}, {\"cell\": \"59.3 ± 21.7\", \"bbox\": [170, 128, 206, 138]}, {\"cell\": \"49.3 ± 18.7\", \"bbox\": [222, 128, 257, 138]}, {\"cell\": \"0.38\", \"bbox\": [274, 128, 288, 138]}, {\"cell\": \"58.4 ± 20.7\", \"bbox\": [303, 128, 339, 138]}, {\"cell\": \"46.4 ± 22.0\", \"bbox\": [355, 128, 390, 138]}, {\"cell\": \"54.8 ± 17.8\", \"bbox\": [408, 128, 443, 138]}, {\"cell\": \"0.54\", \"bbox\": [459, 128, 474, 138]}, {\"cell\": \"VAS\", \"bbox\": [1, 142, 15, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [119, 142, 154, 152]}, {\"cell\": \"73.7 ± 15.2\", \"bbox\": [170, 142, 206, 152]}, {\"cell\": \"61.0 ± 23.8\", \"bbox\": [222, 142, 257, 152]}, {\"cell\": \"0.24\", \"bbox\": [274, 142, 288, 152]}, {\"cell\": \"57.4 ± 29.0\", \"bbox\": [303, 142, 339, 152]}, {\"cell\": \"46.6 ± 23.6\", \"bbox\": [355, 142, 390, 152]}, {\"cell\": \"65.3 ± 12.2\", \"bbox\": [408, 142, 443, 152]}, {\"cell\": \"0.11\", \"bbox\": [459, 142, 474, 152]}, {\"cell\": \"WORMS total score\", \"bbox\": [1, 156, 64, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [119, 156, 154, 166]}, {\"cell\": \"78.8 ± 40.9\", \"bbox\": [170, 156, 206, 166]}, {\"cell\": \"76.5 ± 23.5\", \"bbox\": [222, 156, 257, 166]}, {\"cell\": \"0.65\", \"bbox\": [274, 156, 288, 166]}, {\"cell\": \"71.3 ± 21.4\", \"bbox\": [303, 156, 339, 166]}, {\"cell\": \"62.0 ± 17.9\", \"bbox\": [355, 156, 390, 166]}, {\"cell\": \"70.8 ± 14.7\", \"bbox\": [408, 156, 443, 166]}, {\"cell\": \"0.48\", \"bbox\": [459, 156, 474, 166]}, {\"cell\": \"Kellgren and Lawrence Grade 2 (n)\", \"bbox\": [1, 170, 114, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [119, 170, 124, 180]}, {\"cell\": \"1\", \"bbox\": [170, 170, 176, 180]}, {\"cell\": \"3\", \"bbox\": [222, 170, 228, 180]}, {\"cell\": \"NA\", \"bbox\": [274, 170, 285, 180]}, {\"cell\": \"1\", \"bbox\": [303, 170, 309, 180]}, {\"cell\": \"3\", \"bbox\": [355, 170, 361, 180]}, {\"cell\": \"2\", \"bbox\": [408, 170, 414, 180]}, {\"cell\": \"NA\", \"bbox\": [459, 170, 471, 180]}, {\"cell\": \"Kellgren and Lawrence Grade 3 (n)\", \"bbox\": [0, 184, 114, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [119, 184, 124, 194]}, {\"cell\": \"9\", \"bbox\": [170, 184, 176, 194]}, {\"cell\": \"7\", \"bbox\": [222, 184, 228, 194]}, {\"cell\": \"NA\", \"bbox\": [274, 184, 285, 194]}, {\"cell\": \"9\", \"bbox\": [303, 184, 309, 194]}, {\"cell\": \"7\", \"bbox\": [355, 184, 361, 194]}, {\"cell\": \"8\", \"bbox\": [408, 184, 414, 194]}, {\"cell\": \"NA\", \"bbox\": [459, 184, 471, 194]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5168586_010_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]UnadjustedAge- and Sex AdjustedMultivariable Adjusted†
[EMPTY_CELL]β Coefficients (SE)Pβ Coefficients (SE)Pβ Coefficients (SE)P
Age, per increase of 1 year0.011 (0.001)<0.0010.011 (0.001)<0.001[EMPTY_CELL]<0.001
Sex, female vs male−0.081 (0.022)<0.001−0.061 (0.022)0.005[EMPTY_CELL]0.03
History of CVD, yes vs no0.406 (0.049)<0.0010.261 (0.050)<0.001[EMPTY_CELL]0.001
Smoking, yes vs no0.032 (0.013)0.020.006 (0.013)0.67[EMPTY_CELL]—
Alcohol use, yes vs no−0.172 (0.025)<0.001−0.158 (0.025)<0.001[EMPTY_CELL]0.001
BMI, per increase of 1 kg/m20.029 (0.003)<0.0010.021 (0.003)<0.001[EMPTY_CELL]—
Waist circumference, per increase of 1 cm0.010 (0.001)<0.0010.008 (0.001)<0.001[EMPTY_CELL]0.071
Systolic blood pressure, per increase of 1 mm Hg0.007 (0.001)<0.0010.004 (0.001)<0.001[EMPTY_CELL]0.074
Antihypertensive therapy, yes vs no0.309 (0.030)<0.0010.194 (0.023)<0.001[EMPTY_CELL]0.10
Prevalent diabetes, yes vs no0.422 (0.057)<0.0010.291 (0.058)<0.001[EMPTY_CELL]—
Total cholesterol, per increase of 1 mmol/L0.027 (0.035)0.006−0.015 (0.010)0.13[EMPTY_CELL]<0.001
HDL cholesterol, per increase of 1 mmol/L−0.227 (0.027)<0.001−0.204 (0.029)<0.001[EMPTY_CELL]—
Triglycerides, per increase of 1 mmol/L0.104 (0.011)<0.0010.081 (0.011)<0.001[EMPTY_CELL]<0.001
Insulin, per increase of log2 unit0.198 (0.013)<0.0010.171 (0.013)<0.001[EMPTY_CELL]<0.001
hs-CRP, per increase of log2 unit0.220 (0.023)<0.0010.114 (0.007)<0.001[EMPTY_CELL]<0.001
Procalcitonin, per increase of log2 unit0.127 (0.007)<0.0010.152 (0.024)<0.001[EMPTY_CELL]0.10
24-hour UAE, per increase of log2 unit0.101 (0.009)<0.0010.075 (0.009)<0.001[EMPTY_CELL]<0.001
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Unadjusted\", \"bbox\": [186, 7, 220, 16]}, {\"cell\": \"Age- and Sex Adjusted\", \"bbox\": [300, 7, 367, 16]}, {\"cell\": \"Multivariable Adjusted†\", \"bbox\": [414, 6, 482, 16]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"β Coefficients (SE)\", \"bbox\": [186, 23, 241, 31]}, {\"cell\": \"P\", \"bbox\": [258, 23, 264, 30]}, {\"cell\": \"β Coefficients (SE)\", \"bbox\": [300, 23, 355, 31]}, {\"cell\": \"P\", \"bbox\": [372, 23, 378, 30]}, {\"cell\": \"β Coefficients (SE)\", \"bbox\": [414, 23, 469, 31]}, {\"cell\": \"P\", \"bbox\": [486, 23, 492, 30]}, {\"cell\": \"Age, per increase of 1 year\", \"bbox\": [7, 36, 97, 46]}, {\"cell\": \"0.011 (0.001)\", \"bbox\": [186, 36, 231, 46]}, {\"cell\": \"<0.001\", \"bbox\": [258, 36, 283, 46]}, {\"cell\": \"0.011 (0.001)\", \"bbox\": [300, 36, 346, 46]}, {\"cell\": \"<0.001\", \"bbox\": [372, 36, 397, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 36, 460, 46]}, {\"cell\": \"<0.001\", \"bbox\": [486, 36, 511, 46]}, {\"cell\": \"Sex, female vs male\", \"bbox\": [7, 51, 74, 61]}, {\"cell\": \"−0.081 (0.022)\", \"bbox\": [186, 51, 238, 61]}, {\"cell\": \"<0.001\", \"bbox\": [258, 51, 283, 61]}, {\"cell\": \"−0.061 (0.022)\", \"bbox\": [300, 51, 352, 61]}, {\"cell\": \"0.005\", \"bbox\": [372, 51, 392, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 51, 466, 61]}, {\"cell\": \"0.03\", \"bbox\": [486, 51, 502, 61]}, {\"cell\": \"History of CVD, yes vs no\", \"bbox\": [7, 66, 90, 75]}, {\"cell\": \"0.406 (0.049)\", \"bbox\": [186, 66, 231, 75]}, {\"cell\": \"<0.001\", \"bbox\": [258, 66, 283, 75]}, {\"cell\": \"0.261 (0.050)\", \"bbox\": [300, 66, 346, 75]}, {\"cell\": \"<0.001\", \"bbox\": [372, 66, 397, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 66, 460, 75]}, {\"cell\": \"0.001\", \"bbox\": [486, 66, 507, 75]}, {\"cell\": \"Smoking, yes vs no\", \"bbox\": [7, 81, 72, 90]}, {\"cell\": \"0.032 (0.013)\", \"bbox\": [186, 81, 231, 90]}, {\"cell\": \"0.02\", \"bbox\": [258, 81, 274, 90]}, {\"cell\": \"0.006 (0.013)\", \"bbox\": [300, 81, 346, 90]}, {\"cell\": \"0.67\", \"bbox\": [372, 81, 388, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 81, 425, 90]}, {\"cell\": \"—\", \"bbox\": [486, 81, 497, 90]}, {\"cell\": \"Alcohol use, yes vs no\", \"bbox\": [7, 95, 81, 105]}, {\"cell\": \"−0.172 (0.025)\", \"bbox\": [186, 95, 238, 105]}, {\"cell\": \"<0.001\", \"bbox\": [258, 95, 283, 105]}, {\"cell\": \"−0.158 (0.025)\", \"bbox\": [300, 95, 352, 105]}, {\"cell\": \"<0.001\", \"bbox\": [372, 95, 397, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 95, 466, 105]}, {\"cell\": \"0.001\", \"bbox\": [486, 95, 507, 105]}, {\"cell\": \"BMI, per increase of 1 kg/m2\", \"bbox\": [7, 108, 103, 120]}, {\"cell\": \"0.029 (0.003)\", \"bbox\": [186, 110, 231, 120]}, {\"cell\": \"<0.001\", \"bbox\": [258, 110, 283, 120]}, {\"cell\": \"0.021 (0.003)\", \"bbox\": [300, 110, 346, 120]}, {\"cell\": \"<0.001\", \"bbox\": [372, 110, 397, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 110, 425, 120]}, {\"cell\": \"—\", \"bbox\": [486, 110, 497, 120]}, {\"cell\": \"Waist circumference, per increase of 1 cm\", \"bbox\": [7, 125, 146, 135]}, {\"cell\": \"0.010 (0.001)\", \"bbox\": [186, 125, 231, 135]}, {\"cell\": \"<0.001\", \"bbox\": [258, 125, 283, 135]}, {\"cell\": \"0.008 (0.001)\", \"bbox\": [300, 125, 346, 135]}, {\"cell\": \"<0.001\", \"bbox\": [372, 125, 397, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 125, 466, 135]}, {\"cell\": \"0.071\", \"bbox\": [486, 125, 507, 135]}, {\"cell\": \"Systolic blood pressure, per increase of 1 mm Hg\", \"bbox\": [7, 140, 169, 149]}, {\"cell\": \"0.007 (0.001)\", \"bbox\": [186, 140, 231, 149]}, {\"cell\": \"<0.001\", \"bbox\": [258, 140, 283, 149]}, {\"cell\": \"0.004 (0.001)\", \"bbox\": [300, 140, 346, 149]}, {\"cell\": \"<0.001\", \"bbox\": [372, 140, 397, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 140, 460, 149]}, {\"cell\": \"0.074\", \"bbox\": [486, 140, 507, 149]}, {\"cell\": \"Antihypertensive therapy, yes vs no\", \"bbox\": [7, 155, 122, 164]}, {\"cell\": \"0.309 (0.030)\", \"bbox\": [186, 155, 231, 164]}, {\"cell\": \"<0.001\", \"bbox\": [258, 155, 283, 164]}, {\"cell\": \"0.194 (0.023)\", \"bbox\": [300, 155, 346, 164]}, {\"cell\": \"<0.001\", \"bbox\": [372, 155, 397, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 155, 460, 164]}, {\"cell\": \"0.10\", \"bbox\": [486, 155, 502, 164]}, {\"cell\": \"Prevalent diabetes, yes vs no\", \"bbox\": [7, 169, 102, 179]}, {\"cell\": \"0.422 (0.057)\", \"bbox\": [186, 169, 231, 179]}, {\"cell\": \"<0.001\", \"bbox\": [258, 169, 283, 179]}, {\"cell\": \"0.291 (0.058)\", \"bbox\": [300, 169, 346, 179]}, {\"cell\": \"<0.001\", \"bbox\": [372, 169, 397, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 170, 425, 179]}, {\"cell\": \"—\", \"bbox\": [486, 170, 497, 179]}, {\"cell\": \"Total cholesterol, per increase of 1 mmol/L\", \"bbox\": [7, 184, 147, 194]}, {\"cell\": \"0.027 (0.035)\", \"bbox\": [186, 184, 231, 194]}, {\"cell\": \"0.006\", \"bbox\": [258, 184, 278, 194]}, {\"cell\": \"−0.015 (0.010)\", \"bbox\": [300, 184, 352, 194]}, {\"cell\": \"0.13\", \"bbox\": [372, 184, 388, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 184, 466, 194]}, {\"cell\": \"<0.001\", \"bbox\": [486, 184, 511, 194]}, {\"cell\": \"HDL cholesterol, per increase of 1 mmol/L\", \"bbox\": [7, 199, 145, 209]}, {\"cell\": \"−0.227 (0.027)\", \"bbox\": [186, 199, 238, 209]}, {\"cell\": \"<0.001\", \"bbox\": [258, 199, 283, 209]}, {\"cell\": \"−0.204 (0.029)\", \"bbox\": [300, 199, 352, 209]}, {\"cell\": \"<0.001\", \"bbox\": [372, 199, 397, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 199, 425, 209]}, {\"cell\": \"—\", \"bbox\": [486, 199, 497, 209]}, {\"cell\": \"Triglycerides, per increase of 1 mmol/L\", \"bbox\": [7, 214, 135, 223]}, {\"cell\": \"0.104 (0.011)\", \"bbox\": [186, 214, 231, 223]}, {\"cell\": \"<0.001\", \"bbox\": [258, 214, 283, 223]}, {\"cell\": \"0.081 (0.011)\", \"bbox\": [300, 214, 346, 223]}, {\"cell\": \"<0.001\", \"bbox\": [372, 214, 397, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 214, 460, 223]}, {\"cell\": \"<0.001\", \"bbox\": [486, 214, 511, 223]}, {\"cell\": \"Insulin, per increase of log2 unit\", \"bbox\": [7, 229, 112, 239]}, {\"cell\": \"0.198 (0.013)\", \"bbox\": [186, 229, 231, 238]}, {\"cell\": \"<0.001\", \"bbox\": [258, 229, 283, 238]}, {\"cell\": \"0.171 (0.013)\", \"bbox\": [300, 229, 346, 238]}, {\"cell\": \"<0.001\", \"bbox\": [372, 229, 397, 238]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 229, 460, 238]}, {\"cell\": \"<0.001\", \"bbox\": [486, 229, 511, 238]}, {\"cell\": \"hs-CRP, per increase of log2 unit\", \"bbox\": [7, 243, 114, 254]}, {\"cell\": \"0.220 (0.023)\", \"bbox\": [186, 243, 231, 253]}, {\"cell\": \"<0.001\", \"bbox\": [258, 243, 283, 253]}, {\"cell\": \"0.114 (0.007)\", \"bbox\": [300, 243, 346, 253]}, {\"cell\": \"<0.001\", \"bbox\": [372, 243, 397, 253]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 243, 460, 253]}, {\"cell\": \"<0.001\", \"bbox\": [486, 243, 511, 253]}, {\"cell\": \"Procalcitonin, per increase of log2 unit\", \"bbox\": [7, 258, 131, 269]}, {\"cell\": \"0.127 (0.007)\", \"bbox\": [186, 258, 231, 268]}, {\"cell\": \"<0.001\", \"bbox\": [258, 258, 283, 268]}, {\"cell\": \"0.152 (0.024)\", \"bbox\": [300, 258, 346, 268]}, {\"cell\": \"<0.001\", \"bbox\": [372, 258, 397, 268]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 258, 460, 268]}, {\"cell\": \"0.10\", \"bbox\": [486, 258, 502, 268]}, {\"cell\": \"24-hour UAE, per increase of log2 unit\", \"bbox\": [7, 273, 132, 284]}, {\"cell\": \"0.101 (0.009)\", \"bbox\": [186, 273, 231, 283]}, {\"cell\": \"<0.001\", \"bbox\": [258, 273, 283, 283]}, {\"cell\": \"0.075 (0.009)\", \"bbox\": [300, 273, 346, 283]}, {\"cell\": \"<0.001\", \"bbox\": [372, 273, 397, 283]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 273, 460, 283]}, {\"cell\": \"<0.001\", \"bbox\": [486, 273, 511, 283]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3541606_004_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Interaction with cisplatin
20082008 + FANCF
ChemicalsFA-deficientFA-proficient
CIInterpretationCIInterpretation
Bortezomib1.00 ± 0.05[EMPTY_CELL]0.88 ± 0.02Moderate synergism
Lactacystin0.90 ± 0.05[EMPTY_CELL]1.02 ± 0.05Additive
MG1321.13 ± 0.04[EMPTY_CELL]1.13 ± 0.05Slight antagonism
ALLN1.17 ± 0.04[EMPTY_CELL]1.06 ± 0.09Additive
59294071.10 ± 0.04[EMPTY_CELL]1.00 ± 0.04Additive
Curcumin0.98 ± 0.02[EMPTY_CELL]1.06 ± 0.02Additive
H-91.08 ± 0.04[EMPTY_CELL]0.98 ± 0.04Additive
Gö69760.63 ± 0.04[EMPTY_CELL]0.68 ± 0.03Synergism
SB2180780.90 ± 0.05[EMPTY_CELL]0.77 ± 0.03Moderate synergism
UCN-010.83 ± 0.03[EMPTY_CELL]0.66 ± 0.04Synergism
Alsterpaullone1.05 ± 0.03[EMPTY_CELL]1.15 ± 0.03Slight antagonism
Roscovitine0.98 ± 0.03[EMPTY_CELL]0.98 ± 0.03Additive
Geldanamycin0.83 ± 0.04[EMPTY_CELL]0.38 ± 0.05Synergism
17-AAG1.06 ± 0.10[EMPTY_CELL]0.87 ± 0.04Slight synergism
CA-074-Me0.91 ± 0.03[EMPTY_CELL]0.78 ± 0.02Moderate synergism
Chloroquine0.88 ± 0.05[EMPTY_CELL]0.72 ± 0.05Moderate synergism
Wortmannin1.08 ± 0.05[EMPTY_CELL]1.12 ± 0.05Slight antagonism
DRB1.08 ± 0.04[EMPTY_CELL]0.97 ± 0.05Additive
HNMPA-(AM)30.96 ± 0.02[EMPTY_CELL]0.91 ± 0.03Additive
Puromycin1.08 ± 0.03[EMPTY_CELL]0.88 ± 0.04Slight synergism
TPEN1.16 ± 0.08[EMPTY_CELL]1.13 ± 0.04Slight antagonism
56563250.99 ± 0.03[EMPTY_CELL]1.05 ± 0.05Slight antagonism
53151791.14 ± 0.09[EMPTY_CELL]0.94 ± 0.04Additive
70122461.18 ± 0.05[EMPTY_CELL]0.87 ± 0.04Slight synergism
51952431.22 ± 0.04[EMPTY_CELL]1.02 ± 0.02Additive
53736621.08 ± 0.04[EMPTY_CELL]0.90 ± 0.04Slight synergism
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Interaction with cisplatin\", \"bbox\": [250, 4, 337, 13]}, {\"cell\": \"2008\", \"bbox\": [175, 17, 194, 26]}, {\"cell\": \"2008 + FANCF\", \"bbox\": [378, 17, 427, 26]}, {\"cell\": \"Chemicals\", \"bbox\": [1, 30, 37, 39]}, {\"cell\": \"FA-deficient\", \"bbox\": [164, 30, 205, 39]}, {\"cell\": \"FA-proficient\", \"bbox\": [380, 30, 425, 39]}, {\"cell\": \"CI\", \"bbox\": [102, 43, 111, 52]}, {\"cell\": \"Interpretation\", \"bbox\": [191, 43, 242, 52]}, {\"cell\": \"CI\", \"bbox\": [320, 43, 329, 52]}, {\"cell\": \"Interpretation\", \"bbox\": [409, 43, 460, 52]}, {\"cell\": \"Bortezomib\", \"bbox\": [1, 56, 39, 66]}, {\"cell\": \"1.00 ± 0.05\", \"bbox\": [102, 56, 137, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 56, 220, 66]}, {\"cell\": \"0.88 ± 0.02\", \"bbox\": [320, 56, 355, 66]}, {\"cell\": \"Moderate synergism\", \"bbox\": [409, 56, 484, 66]}, {\"cell\": \"Lactacystin\", \"bbox\": [1, 70, 37, 80]}, {\"cell\": \"0.90 ± 0.05\", \"bbox\": [102, 70, 137, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 70, 253, 80]}, {\"cell\": \"1.02 ± 0.05\", \"bbox\": [320, 70, 355, 80]}, {\"cell\": \"Additive\", \"bbox\": [409, 70, 438, 80]}, {\"cell\": \"MG132\", \"bbox\": [1, 84, 25, 94]}, {\"cell\": \"1.13 ± 0.04\", \"bbox\": [102, 84, 137, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 84, 250, 94]}, {\"cell\": \"1.13 ± 0.05\", \"bbox\": [320, 84, 355, 94]}, {\"cell\": \"Slight antagonism\", \"bbox\": [409, 84, 468, 94]}, {\"cell\": \"ALLN\", \"bbox\": [1, 98, 19, 108]}, {\"cell\": \"1.17 ± 0.04\", \"bbox\": [102, 98, 137, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 98, 250, 108]}, {\"cell\": \"1.06 ± 0.09\", \"bbox\": [320, 98, 355, 108]}, {\"cell\": \"Additive\", \"bbox\": [409, 98, 438, 108]}, {\"cell\": \"5929407\", \"bbox\": [1, 112, 29, 122]}, {\"cell\": \"1.10 ± 0.04\", \"bbox\": [102, 112, 137, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 112, 220, 122]}, {\"cell\": \"1.00 ± 0.04\", \"bbox\": [320, 112, 355, 122]}, {\"cell\": \"Additive\", \"bbox\": [409, 112, 438, 122]}, {\"cell\": \"Curcumin\", \"bbox\": [1, 126, 33, 136]}, {\"cell\": \"0.98 ± 0.02\", \"bbox\": [102, 126, 137, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 126, 220, 136]}, {\"cell\": \"1.06 ± 0.02\", \"bbox\": [320, 126, 355, 136]}, {\"cell\": \"Additive\", \"bbox\": [409, 126, 438, 136]}, {\"cell\": \"H-9\", \"bbox\": [1, 140, 14, 150]}, {\"cell\": \"1.08 ± 0.04\", \"bbox\": [102, 140, 137, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 140, 220, 150]}, {\"cell\": \"0.98 ± 0.04\", \"bbox\": [320, 140, 355, 150]}, {\"cell\": \"Additive\", \"bbox\": [409, 140, 438, 150]}, {\"cell\": \"Gö6976\", \"bbox\": [1, 154, 27, 163]}, {\"cell\": \"0.63 ± 0.04\", \"bbox\": [102, 154, 137, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 154, 231, 163]}, {\"cell\": \"0.68 ± 0.03\", \"bbox\": [320, 154, 355, 163]}, {\"cell\": \"Synergism\", \"bbox\": [409, 154, 449, 163]}, {\"cell\": \"SB218078\", \"bbox\": [1, 168, 33, 177]}, {\"cell\": \"0.90 ± 0.05\", \"bbox\": [102, 168, 137, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 168, 253, 177]}, {\"cell\": \"0.77 ± 0.03\", \"bbox\": [320, 168, 355, 177]}, {\"cell\": \"Moderate synergism\", \"bbox\": [409, 168, 484, 177]}, {\"cell\": \"UCN-01\", \"bbox\": [1, 182, 27, 191]}, {\"cell\": \"0.83 ± 0.03\", \"bbox\": [102, 182, 137, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 182, 266, 191]}, {\"cell\": \"0.66 ± 0.04\", \"bbox\": [320, 182, 355, 191]}, {\"cell\": \"Synergism\", \"bbox\": [409, 182, 449, 191]}, {\"cell\": \"Alsterpaullone\", \"bbox\": [1, 196, 48, 205]}, {\"cell\": \"1.05 ± 0.03\", \"bbox\": [102, 196, 137, 205]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 196, 220, 205]}, {\"cell\": \"1.15 ± 0.03\", \"bbox\": [320, 196, 355, 205]}, {\"cell\": \"Slight antagonism\", \"bbox\": [409, 196, 468, 205]}, {\"cell\": \"Roscovitine\", \"bbox\": [1, 210, 39, 219]}, {\"cell\": \"0.98 ± 0.03\", \"bbox\": [102, 210, 137, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 210, 220, 219]}, {\"cell\": \"0.98 ± 0.03\", \"bbox\": [320, 210, 355, 219]}, {\"cell\": \"Additive\", \"bbox\": [409, 210, 438, 219]}, {\"cell\": \"Geldanamycin\", \"bbox\": [1, 224, 48, 233]}, {\"cell\": \"0.83 ± 0.04\", \"bbox\": [102, 224, 137, 233]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 224, 266, 233]}, {\"cell\": \"0.38 ± 0.05\", \"bbox\": [320, 224, 355, 233]}, {\"cell\": \"Synergism\", \"bbox\": [409, 224, 449, 233]}, {\"cell\": \"17-AAG\", \"bbox\": [1, 238, 27, 247]}, {\"cell\": \"1.06 ± 0.10\", \"bbox\": [102, 238, 137, 247]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 238, 220, 247]}, {\"cell\": \"0.87 ± 0.04\", \"bbox\": [320, 238, 355, 247]}, {\"cell\": \"Slight synergism\", \"bbox\": [409, 238, 471, 247]}, {\"cell\": \"CA-074-Me\", \"bbox\": [1, 252, 38, 261]}, {\"cell\": \"0.91 ± 0.03\", \"bbox\": [102, 252, 137, 261]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 252, 220, 261]}, {\"cell\": \"0.78 ± 0.02\", \"bbox\": [320, 252, 355, 261]}, {\"cell\": \"Moderate synergism\", \"bbox\": [409, 252, 484, 261]}, {\"cell\": \"Chloroquine\", \"bbox\": [1, 266, 42, 275]}, {\"cell\": \"0.88 ± 0.05\", \"bbox\": [102, 266, 137, 275]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 266, 253, 275]}, {\"cell\": \"0.72 ± 0.05\", \"bbox\": [320, 266, 355, 275]}, {\"cell\": \"Moderate synergism\", \"bbox\": [409, 266, 484, 275]}, {\"cell\": \"Wortmannin\", \"bbox\": [1, 280, 42, 289]}, {\"cell\": \"1.08 ± 0.05\", \"bbox\": [102, 280, 137, 289]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 280, 220, 289]}, {\"cell\": \"1.12 ± 0.05\", \"bbox\": [320, 280, 355, 289]}, {\"cell\": \"Slight antagonism\", \"bbox\": [409, 280, 468, 289]}, {\"cell\": \"DRB\", \"bbox\": [1, 293, 16, 303]}, {\"cell\": \"1.08 ± 0.04\", \"bbox\": [102, 293, 137, 303]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 293, 220, 303]}, {\"cell\": \"0.97 ± 0.05\", \"bbox\": [320, 293, 355, 303]}, {\"cell\": \"Additive\", \"bbox\": [409, 293, 438, 303]}, {\"cell\": \"HNMPA-(AM)3\", \"bbox\": [1, 307, 48, 317]}, {\"cell\": \"0.96 ± 0.02\", \"bbox\": [102, 307, 137, 317]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 307, 220, 317]}, {\"cell\": \"0.91 ± 0.03\", \"bbox\": [320, 307, 355, 317]}, {\"cell\": \"Additive\", \"bbox\": [409, 307, 438, 317]}, {\"cell\": \"Puromycin\", \"bbox\": [1, 321, 37, 331]}, {\"cell\": \"1.08 ± 0.03\", \"bbox\": [102, 321, 137, 331]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 321, 220, 331]}, {\"cell\": \"0.88 ± 0.04\", \"bbox\": [320, 321, 355, 331]}, {\"cell\": \"Slight synergism\", \"bbox\": [409, 321, 471, 331]}, {\"cell\": \"TPEN\", \"bbox\": [1, 335, 19, 345]}, {\"cell\": \"1.16 ± 0.08\", \"bbox\": [102, 335, 137, 345]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 335, 250, 345]}, {\"cell\": \"1.13 ± 0.04\", \"bbox\": [320, 335, 355, 345]}, {\"cell\": \"Slight antagonism\", \"bbox\": [409, 335, 468, 345]}, {\"cell\": \"5656325\", \"bbox\": [1, 349, 29, 359]}, {\"cell\": \"0.99 ± 0.03\", \"bbox\": [102, 349, 137, 359]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 349, 220, 359]}, {\"cell\": \"1.05 ± 0.05\", \"bbox\": [320, 349, 355, 359]}, {\"cell\": \"Slight antagonism\", \"bbox\": [409, 349, 468, 359]}, {\"cell\": \"5315179\", \"bbox\": [1, 363, 29, 373]}, {\"cell\": \"1.14 ± 0.09\", \"bbox\": [102, 363, 137, 373]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 363, 250, 373]}, {\"cell\": \"0.94 ± 0.04\", \"bbox\": [320, 363, 355, 373]}, {\"cell\": \"Additive\", \"bbox\": [409, 363, 438, 373]}, {\"cell\": \"7012246\", \"bbox\": [1, 377, 29, 387]}, {\"cell\": \"1.18 ± 0.05\", \"bbox\": [102, 377, 137, 387]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 377, 250, 386]}, {\"cell\": \"0.87 ± 0.04\", \"bbox\": [320, 377, 355, 387]}, {\"cell\": \"Slight synergism\", \"bbox\": [409, 377, 471, 387]}, {\"cell\": \"5195243\", \"bbox\": [1, 391, 29, 401]}, {\"cell\": \"1.22 ± 0.04\", \"bbox\": [102, 391, 137, 401]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 391, 262, 400]}, {\"cell\": \"1.02 ± 0.02\", \"bbox\": [320, 391, 355, 401]}, {\"cell\": \"Additive\", \"bbox\": [409, 391, 438, 401]}, {\"cell\": \"5373662\", \"bbox\": [1, 405, 29, 414]}, {\"cell\": \"1.08 ± 0.04\", \"bbox\": [102, 405, 137, 414]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 405, 220, 414]}, {\"cell\": \"0.90 ± 0.04\", \"bbox\": [320, 405, 355, 414]}, {\"cell\": \"Slight synergism\", \"bbox\": [409, 405, 471, 414]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3478989_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Independent variablesAll independent variables (n = 149)The five variables with highest β in the initial multivariate analyses (n = 168)
[EMPTY_CELL]βpβp
[EMPTY_CELL]-0.0080.918[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]-0.0330.601[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]-0.4310.000*-0.4480.000*
[EMPTY_CELL]0.0780.250[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]0.1490.016*0.1360.016*
[EMPTY_CELL]0.0630.471[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]-0.1550.173-0.1460.032*
[EMPTY_CELL]-0.0040.970[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]0.0030.968[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]0.1390.1200.2260.001*
[EMPTY_CELL]0.0360.665[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]0.0570.480[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]0.1040.104[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]0.1070.1240.0960.113
[EMPTY_CELL]Adj R2 = 0.494, (F 14, 134) = 11.303, p = 0.000Adj R2 = 0.509, F(5, 162) = 35.611, p = 0.000
\", \"cells\": [{\"cell\": \"Independent variables\", \"bbox\": [1, 5, 74, 14]}, {\"cell\": \"All independent variables (n = 149)\", \"bbox\": [102, 5, 216, 14]}, {\"cell\": \"The five variables with highest β in the initial multivariate analyses (n = 168)\", \"bbox\": [252, 5, 484, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"β\", \"bbox\": [102, 18, 109, 27]}, {\"cell\": \"p\", \"bbox\": [176, 20, 182, 27]}, {\"cell\": \"β\", \"bbox\": [252, 18, 258, 27]}, {\"cell\": \"p\", \"bbox\": [370, 20, 376, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 31, 15, 40]}, {\"cell\": \"-0.008\", \"bbox\": [102, 31, 123, 40]}, {\"cell\": \"0.918\", \"bbox\": [176, 31, 195, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 45, 26, 54]}, {\"cell\": \"-0.033\", \"bbox\": [102, 45, 123, 54]}, {\"cell\": \"0.601\", \"bbox\": [176, 45, 195, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 59, 43, 68]}, {\"cell\": \"-0.431\", \"bbox\": [102, 59, 123, 68]}, {\"cell\": \"0.000*\", \"bbox\": [176, 59, 198, 68]}, {\"cell\": \"-0.448\", \"bbox\": [252, 59, 273, 68]}, {\"cell\": \"0.000*\", \"bbox\": [370, 59, 391, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 73, 59, 82]}, {\"cell\": \"0.078\", \"bbox\": [102, 73, 121, 82]}, {\"cell\": \"0.250\", \"bbox\": [176, 73, 195, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 87, 34, 96]}, {\"cell\": \"0.149\", \"bbox\": [102, 87, 121, 96]}, {\"cell\": \"0.016*\", \"bbox\": [176, 87, 198, 96]}, {\"cell\": \"0.136\", \"bbox\": [252, 87, 270, 96]}, {\"cell\": \"0.016*\", \"bbox\": [370, 87, 391, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 101, 37, 110]}, {\"cell\": \"0.063\", \"bbox\": [102, 101, 121, 110]}, {\"cell\": \"0.471\", \"bbox\": [176, 101, 195, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 115, 48, 124]}, {\"cell\": \"-0.155\", \"bbox\": [102, 115, 123, 124]}, {\"cell\": \"0.173\", \"bbox\": [176, 115, 195, 124]}, {\"cell\": \"-0.146\", \"bbox\": [252, 115, 273, 124]}, {\"cell\": \"0.032*\", \"bbox\": [370, 115, 391, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 129, 73, 138]}, {\"cell\": \"-0.004\", \"bbox\": [102, 129, 123, 138]}, {\"cell\": \"0.970\", \"bbox\": [176, 129, 195, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 143, 26, 152]}, {\"cell\": \"0.003\", \"bbox\": [102, 143, 121, 152]}, {\"cell\": \"0.968\", \"bbox\": [176, 143, 195, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 157, 91, 166]}, {\"cell\": \"0.139\", \"bbox\": [102, 157, 121, 166]}, {\"cell\": \"0.120\", \"bbox\": [176, 157, 195, 166]}, {\"cell\": \"0.226\", \"bbox\": [252, 157, 270, 166]}, {\"cell\": \"0.001*\", \"bbox\": [370, 157, 391, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 171, 76, 180]}, {\"cell\": \"0.036\", \"bbox\": [102, 171, 121, 180]}, {\"cell\": \"0.665\", \"bbox\": [176, 171, 195, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 185, 46, 194]}, {\"cell\": \"0.057\", \"bbox\": [102, 185, 121, 194]}, {\"cell\": \"0.480\", \"bbox\": [176, 185, 195, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 199, 91, 208]}, {\"cell\": \"0.104\", \"bbox\": [102, 199, 121, 208]}, {\"cell\": \"0.104\", \"bbox\": [176, 199, 195, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 213, 98, 222]}, {\"cell\": \"0.107\", \"bbox\": [102, 213, 121, 222]}, {\"cell\": \"0.124\", \"bbox\": [176, 213, 195, 222]}, {\"cell\": \"0.096\", \"bbox\": [252, 213, 270, 222]}, {\"cell\": \"0.113\", \"bbox\": [370, 213, 388, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Adj R2 = 0.494, (F 14, 134) = 11.303, p = 0.000\", \"bbox\": [102, 227, 247, 236]}, {\"cell\": \"Adj R2 = 0.509, F(5, 162) = 35.611, p = 0.000\", \"bbox\": [252, 227, 390, 236]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4665858_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
AntigenImmunization strategyAdjuvantProtection level (%)Humoral responseCellular responseReference
[EMPTY_CELL]DNA vaccineNone39[EMPTY_CELL]Prolif. IFN-γ, IL-4[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]IL-257↑IgG, IgG2a and b↑Prolif. ↑IFN-γ ↓IL-4[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]IL-1245↑IgG, IgG2a and b↑Prolif. ↑IFN-γ ↓IL-4[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]IL-444↑IgG3Prolif. IFN-γ ↑IL-4[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]GM-CSF42↑IgG, IgG1Prolif. IFN-γ ↑IL-4[EMPTY_CELL]
Smp-80Prime E boostResiquimod (R848)49↑IgG, IgG1, IgG2a and b, IgG3, IgA, IgMIL-2 and IFN-γ[EMPTY_CELL]
[EMPTY_CELL]Recombinant proteinResiquimod (R848)51↑IgG, IgG1, IgG2a and b, IgG3, IgA, IgMIL-2 and IFN-γ[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]CpG-ODN52.86IgG, IgG1, IgG2b, IgG3, IgMADCC AND NO production[EMPTY_CELL]
[EMPTY_CELL]Recombinant proteinNone25[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]FA25↑IgG2a[EMPTY_CELL]
Sm14[EMPTY_CELL]rIL-1242.2↑IgG2aProtection is dependent on IFN-γ and TNF-α production
[EMPTY_CELL]DNA vaccineNone40.5IgGIFN-γ by SC and BAL cells[EMPTY_CELL]
[EMPTY_CELL]Synthetic peptidesFA + Padre26–36.7IgG1, IgG2aIFN-γ IL-10[EMPTY_CELL]
Sm29Recombinant proteinFA51IgG1, IgG2aIFN-γ, TNF-α, IL-10[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]CpG-Alum20IgG, IgG1, IgG2aIFN-γ[EMPTY_CELL]
TSP-1Recombinant proteinFA29–38IgG1, IgG2aNot reported[EMPTY_CELL]
TSP-2Recombinant proteinFA53–61IgG1, IgG2aNot reported[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]Alum + CpG25–27IgG, IgG1aIL-4, IFN-γ, and IL-10b[EMPTY_CELL]
[EMPTY_CELL]Purified proteinFA40–68.3Not reportedEosinophils (ADCC)[EMPTY_CELL]
Sm28GSTRecombinant proteinAlum46Not significantIL-2 and IFN-γ[EMPTY_CELL]
[EMPTY_CELL]DNA vaccineIL-1823Not significantIFN-γ[EMPTY_CELL]
Sh28GSTRecombinant proteinFA77 (fecundity)IgG and IgANot reported[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]BCG60IgG[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Antigen\", \"bbox\": [1, 6, 31, 16]}, {\"cell\": \"Immunization strategy\", \"bbox\": [51, 6, 103, 27]}, {\"cell\": \"Adjuvant\", \"bbox\": [136, 6, 170, 16]}, {\"cell\": \"Protection level (%)\", \"bbox\": [203, 6, 242, 27]}, {\"cell\": \"Humoral response\", \"bbox\": [267, 6, 334, 16]}, {\"cell\": \"Cellular response\", \"bbox\": [355, 6, 418, 16]}, {\"cell\": \"Reference\", \"bbox\": [471, 6, 508, 16]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"DNA vaccine\", \"bbox\": [51, 38, 96, 47]}, {\"cell\": \"None\", \"bbox\": [137, 38, 157, 47]}, {\"cell\": \"39\", \"bbox\": [203, 38, 214, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Prolif. IFN-γ, IL-4\", \"bbox\": [355, 38, 412, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 38, 498, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"IL-2\", \"bbox\": [137, 49, 151, 58]}, {\"cell\": \"57\", \"bbox\": [203, 49, 214, 58]}, {\"cell\": \"↑IgG, IgG2a and b\", \"bbox\": [267, 49, 331, 58]}, {\"cell\": \"↑Prolif. ↑IFN-γ ↓IL-4\", \"bbox\": [355, 49, 430, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"IL-12\", \"bbox\": [137, 61, 155, 70]}, {\"cell\": \"45\", \"bbox\": [203, 61, 214, 70]}, {\"cell\": \"↑IgG, IgG2a and b\", \"bbox\": [267, 61, 331, 70]}, {\"cell\": \"↑Prolif. ↑IFN-γ ↓IL-4\", \"bbox\": [355, 61, 430, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"IL-4\", \"bbox\": [137, 72, 151, 81]}, {\"cell\": \"44\", \"bbox\": [203, 72, 214, 81]}, {\"cell\": \"↑IgG3\", \"bbox\": [267, 72, 291, 81]}, {\"cell\": \"Prolif. IFN-γ ↑IL-4\", \"bbox\": [355, 72, 417, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"GM-CSF\", \"bbox\": [137, 83, 167, 92]}, {\"cell\": \"42\", \"bbox\": [203, 83, 214, 92]}, {\"cell\": \"↑IgG, IgG1\", \"bbox\": [267, 83, 307, 93]}, {\"cell\": \"Prolif. IFN-γ ↑IL-4\", \"bbox\": [355, 83, 417, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Smp-80\", \"bbox\": [1, 95, 29, 104]}, {\"cell\": \"Prime E boost\", \"bbox\": [51, 95, 100, 104]}, {\"cell\": \"Resiquimod (R848)\", \"bbox\": [137, 95, 178, 115]}, {\"cell\": \"49\", \"bbox\": [203, 95, 214, 104]}, {\"cell\": \"↑IgG, IgG1, IgG2a and b, IgG3, IgA, IgM\", \"bbox\": [267, 95, 340, 115]}, {\"cell\": \"IL-2 and IFN-γ\", \"bbox\": [355, 95, 403, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 95, 486, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Recombinant protein\", \"bbox\": [51, 118, 123, 127]}, {\"cell\": \"Resiquimod (R848)\", \"bbox\": [137, 118, 178, 138]}, {\"cell\": \"51\", \"bbox\": [203, 118, 214, 127]}, {\"cell\": \"↑IgG, IgG1, IgG2a and b, IgG3, IgA, IgM\", \"bbox\": [267, 118, 340, 138]}, {\"cell\": \"IL-2 and IFN-γ\", \"bbox\": [355, 118, 403, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CpG-ODN\", \"bbox\": [137, 141, 172, 150]}, {\"cell\": \"52.86\", \"bbox\": [203, 141, 224, 150]}, {\"cell\": \"IgG, IgG1, IgG2b, IgG3, IgM\", \"bbox\": [267, 141, 327, 161]}, {\"cell\": \"ADCC AND NO production\", \"bbox\": [355, 141, 446, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 141, 498, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Recombinant protein\", \"bbox\": [51, 172, 123, 181]}, {\"cell\": \"None\", \"bbox\": [137, 172, 157, 181]}, {\"cell\": \"25\", \"bbox\": [203, 172, 214, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 172, 486, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"FA\", \"bbox\": [137, 183, 147, 192]}, {\"cell\": \"25\", \"bbox\": [203, 183, 214, 192]}, {\"cell\": \"↑IgG2a\", \"bbox\": [267, 183, 295, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Sm14\", \"bbox\": [1, 195, 23, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"rIL-12\", \"bbox\": [137, 195, 158, 204]}, {\"cell\": \"42.2\", \"bbox\": [203, 195, 220, 204]}, {\"cell\": \"↑IgG2a\", \"bbox\": [267, 195, 295, 204]}, {\"cell\": \"Protection is dependent on IFN-γ and TNF-α production\", \"bbox\": [355, 195, 447, 215]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"DNA vaccine\", \"bbox\": [51, 218, 96, 227]}, {\"cell\": \"None\", \"bbox\": [137, 218, 157, 227]}, {\"cell\": \"40.5\", \"bbox\": [203, 218, 220, 227]}, {\"cell\": \"IgG\", \"bbox\": [267, 218, 280, 227]}, {\"cell\": \"IFN-γ by SC and BAL cells\", \"bbox\": [355, 218, 443, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 218, 486, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Synthetic peptides\", \"bbox\": [51, 229, 115, 238]}, {\"cell\": \"FA + Padre\", \"bbox\": [137, 229, 175, 238]}, {\"cell\": \"26–36.7\", \"bbox\": [203, 229, 232, 238]}, {\"cell\": \"IgG1, IgG2a\", \"bbox\": [267, 229, 308, 238]}, {\"cell\": \"IFN-γ IL-10\", \"bbox\": [355, 229, 393, 238]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 229, 486, 238]}, {\"cell\": \"Sm29\", \"bbox\": [1, 249, 23, 258]}, {\"cell\": \"Recombinant protein\", \"bbox\": [51, 249, 123, 258]}, {\"cell\": \"FA\", \"bbox\": [137, 249, 147, 258]}, {\"cell\": \"51\", \"bbox\": [203, 249, 214, 258]}, {\"cell\": \"IgG1, IgG2a\", \"bbox\": [267, 249, 308, 258]}, {\"cell\": \"IFN-γ, TNF-α, IL-10\", \"bbox\": [355, 249, 417, 258]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 249, 486, 258]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CpG-Alum\", \"bbox\": [137, 260, 173, 269]}, {\"cell\": \"20\", \"bbox\": [203, 260, 214, 269]}, {\"cell\": \"IgG, IgG1, IgG2a\", \"bbox\": [267, 260, 324, 269]}, {\"cell\": \"IFN-γ\", \"bbox\": [355, 260, 375, 269]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 260, 485, 269]}, {\"cell\": \"TSP-1\", \"bbox\": [1, 280, 22, 289]}, {\"cell\": \"Recombinant protein\", \"bbox\": [51, 280, 123, 289]}, {\"cell\": \"FA\", \"bbox\": [137, 280, 147, 289]}, {\"cell\": \"29–38\", \"bbox\": [203, 280, 226, 289]}, {\"cell\": \"IgG1, IgG2a\", \"bbox\": [267, 280, 308, 289]}, {\"cell\": \"Not reported\", \"bbox\": [355, 280, 399, 289]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 280, 486, 289]}, {\"cell\": \"TSP-2\", \"bbox\": [1, 299, 22, 308]}, {\"cell\": \"Recombinant protein\", \"bbox\": [51, 299, 123, 308]}, {\"cell\": \"FA\", \"bbox\": [137, 299, 147, 308]}, {\"cell\": \"53–61\", \"bbox\": [203, 299, 226, 308]}, {\"cell\": \"IgG1, IgG2a\", \"bbox\": [267, 299, 308, 308]}, {\"cell\": \"Not reported\", \"bbox\": [355, 299, 399, 308]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 299, 486, 308]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Alum + CpG\", \"bbox\": [137, 311, 179, 320]}, {\"cell\": \"25–27\", \"bbox\": [203, 311, 226, 320]}, {\"cell\": \"IgG, IgG1a\", \"bbox\": [267, 310, 303, 320]}, {\"cell\": \"IL-4, IFN-γ, and IL-10b\", \"bbox\": [355, 310, 429, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 311, 486, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Purified protein\", \"bbox\": [51, 331, 104, 340]}, {\"cell\": \"FA\", \"bbox\": [137, 331, 147, 340]}, {\"cell\": \"40–68.3\", \"bbox\": [203, 331, 232, 340]}, {\"cell\": \"Not reported\", \"bbox\": [267, 331, 311, 340]}, {\"cell\": \"Eosinophils (ADCC)\", \"bbox\": [355, 331, 421, 340]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 331, 485, 340]}, {\"cell\": \"Sm28GST\", \"bbox\": [1, 342, 37, 351]}, {\"cell\": \"Recombinant protein\", \"bbox\": [51, 342, 123, 351]}, {\"cell\": \"Alum\", \"bbox\": [137, 342, 156, 351]}, {\"cell\": \"46\", \"bbox\": [203, 342, 214, 351]}, {\"cell\": \"Not significant\", \"bbox\": [267, 342, 317, 351]}, {\"cell\": \"IL-2 and IFN-γ\", \"bbox\": [355, 342, 403, 351]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 342, 486, 351]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"DNA vaccine\", \"bbox\": [51, 353, 96, 362]}, {\"cell\": \"IL-18\", \"bbox\": [137, 353, 155, 362]}, {\"cell\": \"23\", \"bbox\": [203, 353, 214, 362]}, {\"cell\": \"Not significant\", \"bbox\": [267, 353, 317, 362]}, {\"cell\": \"IFN-γ\", \"bbox\": [355, 353, 375, 363]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 353, 486, 362]}, {\"cell\": \"Sh28GST\", \"bbox\": [1, 373, 34, 382]}, {\"cell\": \"Recombinant protein\", \"bbox\": [51, 373, 123, 382]}, {\"cell\": \"FA\", \"bbox\": [137, 373, 147, 382]}, {\"cell\": \"77 (fecundity)\", \"bbox\": [203, 373, 250, 382]}, {\"cell\": \"IgG and IgA\", \"bbox\": [267, 373, 308, 382]}, {\"cell\": \"Not reported\", \"bbox\": [355, 373, 399, 382]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 373, 486, 382]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"BCG\", \"bbox\": [137, 385, 154, 393]}, {\"cell\": \"60\", \"bbox\": [203, 385, 214, 393]}, {\"cell\": \"IgG\", \"bbox\": [267, 385, 280, 393]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4353369_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]PDS (N = 2095)GHQ (N = 2155)
Bivariate correlationsOLSaBivariate correlationsOLSa
In town at time of explosion0.352.02** (0.62)[EMPTY_CELL]0.15 (0.27)
In town after explosion0.260.47 (0.49)[EMPTY_CELL]0.06 (0.21)
Was hurt0.334.31** (1.63)[EMPTY_CELL]2.39** (0.71)
Left with injury or scar0.29−1.1 (2.04)[EMPTY_CELL]−0.51 (0.89)
Saw doctor afterwards0.387.25** (1.38)[EMPTY_CELL]1.68** (0.61)
Attended hospital0.320.95 (1.77)[EMPTY_CELL]−1.23 (0.78)
Saw people who were going to die0.352.23** (0.8)[EMPTY_CELL]0.29 (0.35)
Saw people dead0.331.41 (0.81)[EMPTY_CELL]0.41 (0.36)
Person close to them hurt0.231.55** (0.41)[EMPTY_CELL]0.82** (0.18)
Person close to them died0.232.37** (0.36)[EMPTY_CELL]0.36* (0.16)
Other acquaintance hurt−0.140.45 (0.42)[EMPTY_CELL]0.27 (0.18)
Other acquaintance died−0.030.54 (0.31)[EMPTY_CELL]0.00 (0.13)
Life was under threat0.273.4** (1.17)[EMPTY_CELL]1.39** (0.51)
Saw others hurt0.330.27 (0.7)[EMPTY_CELL]0.32 (0.31)
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"PDS (N = 2095)\", \"bbox\": [151, 4, 204, 13]}, {\"cell\": \"GHQ (N = 2155)\", \"bbox\": [335, 4, 390, 13]}, {\"cell\": \"Bivariate correlations\", \"bbox\": [151, 17, 227, 26]}, {\"cell\": \"OLSa\", \"bbox\": [260, 15, 279, 26]}, {\"cell\": \"Bivariate correlations\", \"bbox\": [335, 17, 410, 26]}, {\"cell\": \"OLSa\", \"bbox\": [444, 15, 463, 26]}, {\"cell\": \"In town at time of explosion\", \"bbox\": [1, 30, 94, 40]}, {\"cell\": \"0.35\", \"bbox\": [151, 30, 166, 40]}, {\"cell\": \"2.02** (0.62)\", \"bbox\": [260, 30, 301, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 30, 350, 40]}, {\"cell\": \"0.15 (0.27)\", \"bbox\": [444, 30, 478, 40]}, {\"cell\": \"In town after explosion\", \"bbox\": [1, 44, 77, 54]}, {\"cell\": \"0.26\", \"bbox\": [151, 44, 166, 54]}, {\"cell\": \"0.47 (0.49)\", \"bbox\": [260, 44, 295, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 44, 350, 54]}, {\"cell\": \"0.06 (0.21)\", \"bbox\": [444, 44, 478, 54]}, {\"cell\": \"Was hurt\", \"bbox\": [1, 58, 31, 68]}, {\"cell\": \"0.33\", \"bbox\": [151, 58, 166, 68]}, {\"cell\": \"4.31** (1.63)\", \"bbox\": [260, 58, 301, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 58, 350, 68]}, {\"cell\": \"2.39** (0.71)\", \"bbox\": [444, 58, 484, 68]}, {\"cell\": \"Left with injury or scar\", \"bbox\": [1, 72, 74, 82]}, {\"cell\": \"0.29\", \"bbox\": [151, 72, 166, 82]}, {\"cell\": \"−1.1 (2.04)\", \"bbox\": [260, 72, 296, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 72, 350, 82]}, {\"cell\": \"−0.51 (0.89)\", \"bbox\": [444, 72, 483, 82]}, {\"cell\": \"Saw doctor afterwards\", \"bbox\": [1, 86, 74, 96]}, {\"cell\": \"0.38\", \"bbox\": [151, 86, 166, 96]}, {\"cell\": \"7.25** (1.38)\", \"bbox\": [260, 86, 301, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 86, 350, 96]}, {\"cell\": \"1.68** (0.61)\", \"bbox\": [444, 86, 484, 96]}, {\"cell\": \"Attended hospital\", \"bbox\": [1, 100, 60, 110]}, {\"cell\": \"0.32\", \"bbox\": [151, 100, 166, 110]}, {\"cell\": \"0.95 (1.77)\", \"bbox\": [260, 100, 295, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 100, 350, 110]}, {\"cell\": \"−1.23 (0.78)\", \"bbox\": [444, 100, 483, 110]}, {\"cell\": \"Saw people who were going to die\", \"bbox\": [1, 114, 117, 124]}, {\"cell\": \"0.35\", \"bbox\": [151, 114, 166, 124]}, {\"cell\": \"2.23** (0.8)\", \"bbox\": [260, 114, 297, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 114, 350, 124]}, {\"cell\": \"0.29 (0.35)\", \"bbox\": [444, 114, 478, 124]}, {\"cell\": \"Saw people dead\", \"bbox\": [1, 128, 58, 138]}, {\"cell\": \"0.33\", \"bbox\": [151, 128, 166, 138]}, {\"cell\": \"1.41 (0.81)\", \"bbox\": [260, 128, 295, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 128, 350, 138]}, {\"cell\": \"0.41 (0.36)\", \"bbox\": [444, 128, 478, 138]}, {\"cell\": \"Person close to them hurt\", \"bbox\": [1, 142, 86, 152]}, {\"cell\": \"0.23\", \"bbox\": [151, 142, 166, 152]}, {\"cell\": \"1.55** (0.41)\", \"bbox\": [260, 142, 301, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 142, 350, 152]}, {\"cell\": \"0.82** (0.18)\", \"bbox\": [444, 142, 484, 152]}, {\"cell\": \"Person close to them died\", \"bbox\": [1, 156, 87, 166]}, {\"cell\": \"0.23\", \"bbox\": [151, 156, 166, 166]}, {\"cell\": \"2.37** (0.36)\", \"bbox\": [260, 156, 301, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 156, 350, 166]}, {\"cell\": \"0.36* (0.16)\", \"bbox\": [444, 156, 481, 166]}, {\"cell\": \"Other acquaintance hurt\", \"bbox\": [1, 170, 81, 180]}, {\"cell\": \"−0.14\", \"bbox\": [151, 170, 171, 180]}, {\"cell\": \"0.45 (0.42)\", \"bbox\": [260, 170, 295, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 170, 354, 180]}, {\"cell\": \"0.27 (0.18)\", \"bbox\": [444, 170, 478, 180]}, {\"cell\": \"Other acquaintance died\", \"bbox\": [1, 184, 82, 194]}, {\"cell\": \"−0.03\", \"bbox\": [151, 184, 171, 194]}, {\"cell\": \"0.54 (0.31)\", \"bbox\": [260, 184, 295, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 184, 354, 194]}, {\"cell\": \"0.00 (0.13)\", \"bbox\": [444, 184, 478, 194]}, {\"cell\": \"Life was under threat\", \"bbox\": [1, 198, 71, 208]}, {\"cell\": \"0.27\", \"bbox\": [151, 198, 166, 208]}, {\"cell\": \"3.4** (1.17)\", \"bbox\": [260, 198, 297, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 198, 350, 208]}, {\"cell\": \"1.39** (0.51)\", \"bbox\": [444, 198, 484, 208]}, {\"cell\": \"Saw others hurt\", \"bbox\": [1, 212, 53, 222]}, {\"cell\": \"0.33\", \"bbox\": [151, 212, 166, 222]}, {\"cell\": \"0.27 (0.7)\", \"bbox\": [260, 212, 291, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 212, 350, 222]}, {\"cell\": \"0.32 (0.31)\", \"bbox\": [444, 212, 478, 222]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4329658_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Combination treatmentSpeciesAgeAdditive effectsHypothermia startedOther intervention startedComment
[EMPTY_CELL]
[EMPTY_CELL]Non-human primates (51)Full termYes (survival, motor, cognitive responses, cerebellar growth, and MRI)Immediately30 minHypothermia for 72 h
[EMPTY_CELL]P7No (sensorimotor, histopathology)1 hImmediatelyHypothermia for 8 h
[EMPTY_CELL]P7Borderline (sensorimotor, histopathology)ImmediatelyImmediatelyHypothermia for 3 h
[EMPTY_CELL]Neonatal rat (54)P7Yes (histology, MRI, functional)6 h6 hHypothermia: 32°C for 24 h
[EMPTY_CELL]
[EMPTY_CELL]Newborn piglet (55)Full-termYes (MRS, histology)2 h10 minHypothermia for 26 h
[EMPTY_CELL]
[EMPTY_CELL]Fetal sheep (49, 56)0.85 gestation (term equivalent)No (EEG and histology)5.5 h4.5 hHypothermia for 72 h
[EMPTY_CELL]
[EMPTY_CELL]Neonatal rats (57)P7Yes (histology, functional)4 h4 hHypothermia for 90 min
[EMPTY_CELL]TermYes (neuropathology, clinical neurology)<40 min30 minHypothermia for 12–24 h
[EMPTY_CELL]TermNo (trend, MRS, histology)2 h2 hHypothermia for 24 h
[EMPTY_CELL]TermYes (seizures only)<12 h<12 hReduced seizures
[EMPTY_CELL]Neonatal rats (61)P7Yes (histology, MRI, functional)1–3 h15 minHypothermia: 30°C for 3 h
[EMPTY_CELL]Fetal sheep (50)0.7 gestationNo (EEG and histology)5.5 h15 minHypothermia for 72 h
[EMPTY_CELL]
[EMPTY_CELL]Fetal sheep (48)0.85 gestation (term equivalent)No (EEG and histology)3 h3 hHypothermia for 72 h
\", \"cells\": [{\"cell\": \"Combination treatment\", \"bbox\": [1, 6, 45, 24]}, {\"cell\": \"Species\", \"bbox\": [79, 6, 108, 15]}, {\"cell\": \"Age\", \"bbox\": [156, 6, 171, 15]}, {\"cell\": \"Additive effects\", \"bbox\": [237, 6, 290, 15]}, {\"cell\": \"Hypothermia started\", \"bbox\": [408, 6, 452, 24]}, {\"cell\": \"Other intervention started\", \"bbox\": [473, 6, 535, 24]}, {\"cell\": \"Comment\", \"bbox\": [552, 6, 587, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 33, 126, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 46, 44, 55]}, {\"cell\": \"Non-human primates (51)\", \"bbox\": [79, 46, 121, 64]}, {\"cell\": \"Full term\", \"bbox\": [156, 46, 183, 55]}, {\"cell\": \"Yes (survival, motor, cognitive responses, cerebellar growth, and MRI)\", \"bbox\": [237, 46, 393, 64]}, {\"cell\": \"Immediately\", \"bbox\": [408, 46, 446, 55]}, {\"cell\": \"30 min\", \"bbox\": [473, 46, 496, 55]}, {\"cell\": \"Hypothermia for 72 h\", \"bbox\": [552, 46, 618, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 65, 131, 74]}, {\"cell\": \"P7\", \"bbox\": [156, 65, 166, 74]}, {\"cell\": \"No (sensorimotor, histopathology)\", \"bbox\": [237, 65, 339, 74]}, {\"cell\": \"1 h\", \"bbox\": [408, 65, 419, 74]}, {\"cell\": \"Immediately\", \"bbox\": [473, 65, 511, 74]}, {\"cell\": \"Hypothermia for 8 h\", \"bbox\": [552, 65, 614, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 75, 131, 83]}, {\"cell\": \"P7\", \"bbox\": [156, 75, 166, 83]}, {\"cell\": \"Borderline (sensorimotor, histopathology)\", \"bbox\": [237, 75, 361, 83]}, {\"cell\": \"Immediately\", \"bbox\": [408, 75, 446, 83]}, {\"cell\": \"Immediately\", \"bbox\": [473, 75, 511, 83]}, {\"cell\": \"Hypothermia for 3 h\", \"bbox\": [552, 75, 614, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 84, 34, 93]}, {\"cell\": \"Neonatal rat (54)\", \"bbox\": [79, 84, 131, 93]}, {\"cell\": \"P7\", \"bbox\": [156, 84, 166, 93]}, {\"cell\": \"Yes (histology, MRI, functional)\", \"bbox\": [237, 84, 329, 93]}, {\"cell\": \"6 h\", \"bbox\": [408, 84, 419, 93]}, {\"cell\": \"6 h\", \"bbox\": [473, 84, 485, 93]}, {\"cell\": \"Hypothermia: 32°C for 24 h\", \"bbox\": [552, 84, 637, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 98, 111, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 111, 32, 120]}, {\"cell\": \"Newborn piglet (55)\", \"bbox\": [79, 111, 140, 120]}, {\"cell\": \"Full-term\", \"bbox\": [156, 111, 184, 120]}, {\"cell\": \"Yes (MRS, histology)\", \"bbox\": [237, 111, 300, 120]}, {\"cell\": \"2 h\", \"bbox\": [408, 111, 419, 120]}, {\"cell\": \"10 min\", \"bbox\": [473, 111, 496, 120]}, {\"cell\": \"Hypothermia for 26 h\", \"bbox\": [552, 111, 618, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 125, 50, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 138, 17, 147]}, {\"cell\": \"Fetal sheep (49, 56)\", \"bbox\": [79, 138, 141, 147]}, {\"cell\": \"0.85 gestation (term equivalent)\", \"bbox\": [156, 138, 218, 156]}, {\"cell\": \"No (EEG and histology)\", \"bbox\": [237, 138, 308, 147]}, {\"cell\": \"5.5 h\", \"bbox\": [408, 138, 425, 147]}, {\"cell\": \"4.5 h\", \"bbox\": [473, 138, 490, 147]}, {\"cell\": \"Hypothermia for 72 h\", \"bbox\": [552, 138, 618, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 161, 77, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 175, 22, 183]}, {\"cell\": \"Neonatal rats (57)\", \"bbox\": [79, 175, 135, 183]}, {\"cell\": \"P7\", \"bbox\": [156, 175, 166, 183]}, {\"cell\": \"Yes (histology, functional)\", \"bbox\": [237, 175, 313, 183]}, {\"cell\": \"4 h\", \"bbox\": [408, 175, 419, 183]}, {\"cell\": \"4 h\", \"bbox\": [473, 175, 485, 183]}, {\"cell\": \"Hypothermia for 90 min\", \"bbox\": [552, 175, 625, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 184, 140, 193]}, {\"cell\": \"Term\", \"bbox\": [156, 184, 172, 193]}, {\"cell\": \"Yes (neuropathology, clinical neurology)\", \"bbox\": [237, 184, 356, 193]}, {\"cell\": \"<40 min\", \"bbox\": [408, 184, 435, 193]}, {\"cell\": \"30 min\", \"bbox\": [473, 184, 496, 193]}, {\"cell\": \"Hypothermia for 12–24 h\", \"bbox\": [552, 184, 629, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 194, 140, 202]}, {\"cell\": \"Term\", \"bbox\": [156, 194, 172, 202]}, {\"cell\": \"No (trend, MRS, histology)\", \"bbox\": [237, 194, 318, 202]}, {\"cell\": \"2 h\", \"bbox\": [408, 194, 419, 202]}, {\"cell\": \"2 h\", \"bbox\": [473, 194, 485, 202]}, {\"cell\": \"Hypothermia for 24 h\", \"bbox\": [552, 194, 617, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 203, 120, 212]}, {\"cell\": \"Term\", \"bbox\": [156, 203, 172, 212]}, {\"cell\": \"Yes (seizures only)\", \"bbox\": [237, 203, 293, 212]}, {\"cell\": \"<12 h\", \"bbox\": [408, 203, 428, 212]}, {\"cell\": \"<12 h\", \"bbox\": [473, 203, 493, 212]}, {\"cell\": \"Reduced seizures\", \"bbox\": [552, 203, 607, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 213, 44, 221]}, {\"cell\": \"Neonatal rats (61)\", \"bbox\": [79, 213, 135, 221]}, {\"cell\": \"P7\", \"bbox\": [156, 213, 166, 221]}, {\"cell\": \"Yes (histology, MRI, functional)\", \"bbox\": [237, 213, 329, 221]}, {\"cell\": \"1–3 h\", \"bbox\": [408, 213, 427, 221]}, {\"cell\": \"15 min\", \"bbox\": [473, 213, 496, 221]}, {\"cell\": \"Hypothermia: 30°C for 3 h\", \"bbox\": [552, 213, 633, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 226, 35, 235]}, {\"cell\": \"Fetal sheep (50)\", \"bbox\": [79, 226, 129, 235]}, {\"cell\": \"0.7 gestation\", \"bbox\": [156, 226, 197, 235]}, {\"cell\": \"No (EEG and histology)\", \"bbox\": [237, 226, 308, 235]}, {\"cell\": \"5.5 h\", \"bbox\": [408, 226, 425, 235]}, {\"cell\": \"15 min\", \"bbox\": [473, 226, 496, 235]}, {\"cell\": \"Hypothermia for 72 h\", \"bbox\": [552, 226, 617, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 240, 109, 248]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 253, 44, 271]}, {\"cell\": \"Fetal sheep (48)\", \"bbox\": [79, 253, 129, 262]}, {\"cell\": \"0.85 gestation (term equivalent)\", \"bbox\": [156, 253, 218, 271]}, {\"cell\": \"No (EEG and histology)\", \"bbox\": [236, 253, 308, 262]}, {\"cell\": \"3 h\", \"bbox\": [408, 253, 419, 262]}, {\"cell\": \"3 h\", \"bbox\": [473, 253, 485, 262]}, {\"cell\": \"Hypothermia for 72 h\", \"bbox\": [552, 253, 617, 262]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4568393_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
NumberConstituentRT (min)Peak area (%)
1α-Phellandrene[EMPTY_CELL]0.081
2α-Pinene[EMPTY_CELL]0.159
3β-Pinene[EMPTY_CELL]11.438
4α-Myrcene[EMPTY_CELL]0.146
5Terpinolene[EMPTY_CELL]0.018
6Limonene[EMPTY_CELL]0.049
7β-Phellandrene[EMPTY_CELL]0.037
8Benzene[EMPTY_CELL]2.642
9Eucalyptol[EMPTY_CELL]0.037
10γ-Terpinene[EMPTY_CELL]10.698
11Linalool[EMPTY_CELL]0.011
122,6-Dimethyl-3,5,7-octatriene-2-ol[EMPTY_CELL]0.011
134-Methyl-1-(1-methylethyl)-[EMPTY_CELL]0.031
141,3-Cyclohexadiene-1-methanol[EMPTY_CELL]2.023
15Cuminaldehyde[EMPTY_CELL]48.773
163-Cyclohexene-1-carboxaldehyde, 1,3,4-trimethyl-[EMPTY_CELL]0.064
171H-Cyclopropa[a]naphthalene,1a,2,3,5,6,7,7a,7b-octahydro-1,1,7,7a-tetramethyl-, [1aR-(1aà,7à,7aà,7bà)]-[EMPTY_CELL]0.034
183-Caren-10-al[EMPTY_CELL]14.000
192-Caren-10-al[EMPTY_CELL]9.355
20Benzenemethanol, 4-(1-methylethyl)-[EMPTY_CELL]0.078
21Bicyclo[3.1.1]hept-2-ene-2-methanol, 6,6-dimethyl-[EMPTY_CELL]0.016
22cis-à-Bisabolene[EMPTY_CELL]0.026
231,6,10-Dodecatriene, 7,11-dimethyl-3-methylene-, (E)-[EMPTY_CELL]0.029
24γ-Elemene[EMPTY_CELL]0.031
25Naphthalene[EMPTY_CELL]0.012
26Carotol[EMPTY_CELL]0.011
[EMPTY_CELL]Total identified[EMPTY_CELL]99.81
\", \"cells\": [{\"cell\": \"Number\", \"bbox\": [2, 4, 35, 15]}, {\"cell\": \"Constituent\", \"bbox\": [35, 4, 79, 15]}, {\"cell\": \"RT (min)\", \"bbox\": [408, 4, 444, 15]}, {\"cell\": \"Peak area (%)\", \"bbox\": [448, 4, 499, 15]}, {\"cell\": \"1\", \"bbox\": [2, 17, 8, 27]}, {\"cell\": \"α-Phellandrene\", \"bbox\": [35, 14, 92, 29]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [418, 17, 434, 27]}, {\"cell\": \"0.081\", \"bbox\": [463, 17, 483, 27]}, {\"cell\": \"2\", \"bbox\": [2, 29, 9, 40]}, {\"cell\": \"α-Pinene\", \"bbox\": [35, 26, 70, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [418, 29, 434, 40]}, {\"cell\": \"0.159\", \"bbox\": [463, 29, 483, 40]}, {\"cell\": \"3\", \"bbox\": [2, 42, 9, 52]}, {\"cell\": \"β-Pinene\", \"bbox\": [35, 38, 70, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [416, 42, 435, 52]}, {\"cell\": \"11.438\", \"bbox\": [462, 42, 485, 52]}, {\"cell\": \"4\", \"bbox\": [2, 54, 9, 65]}, {\"cell\": \"α-Myrcene\", \"bbox\": [35, 51, 76, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [417, 54, 435, 65]}, {\"cell\": \"0.146\", \"bbox\": [463, 54, 483, 65]}, {\"cell\": \"5\", \"bbox\": [2, 67, 9, 77]}, {\"cell\": \"Terpinolene\", \"bbox\": [35, 67, 80, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [416, 67, 435, 77]}, {\"cell\": \"0.018\", \"bbox\": [463, 67, 483, 77]}, {\"cell\": \"6\", \"bbox\": [2, 79, 9, 90]}, {\"cell\": \"Limonene\", \"bbox\": [35, 79, 73, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [416, 79, 436, 90]}, {\"cell\": \"0.049\", \"bbox\": [462, 79, 484, 90]}, {\"cell\": \"7\", \"bbox\": [2, 91, 9, 102]}, {\"cell\": \"β-Phellandrene\", \"bbox\": [35, 88, 92, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [416, 91, 436, 102]}, {\"cell\": \"0.037\", \"bbox\": [463, 91, 484, 102]}, {\"cell\": \"8\", \"bbox\": [2, 104, 9, 115]}, {\"cell\": \"Benzene\", \"bbox\": [35, 104, 67, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [416, 104, 436, 115]}, {\"cell\": \"2.642\", \"bbox\": [462, 104, 484, 115]}, {\"cell\": \"9\", \"bbox\": [2, 116, 9, 127]}, {\"cell\": \"Eucalyptol\", \"bbox\": [35, 116, 74, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [416, 116, 436, 127]}, {\"cell\": \"0.037\", \"bbox\": [463, 116, 484, 127]}, {\"cell\": \"10\", \"bbox\": [2, 129, 12, 139]}, {\"cell\": \"γ-Terpinene\", \"bbox\": [35, 126, 80, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [416, 129, 436, 139]}, {\"cell\": \"10.698\", \"bbox\": [461, 129, 485, 139]}, {\"cell\": \"11\", \"bbox\": [2, 141, 11, 152]}, {\"cell\": \"Linalool\", \"bbox\": [35, 141, 66, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [416, 141, 436, 152]}, {\"cell\": \"0.011\", \"bbox\": [464, 141, 483, 152]}, {\"cell\": \"12\", \"bbox\": [2, 154, 12, 164]}, {\"cell\": \"2,6-Dimethyl-3,5,7-octatriene-2-ol\", \"bbox\": [35, 154, 160, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [417, 154, 435, 164]}, {\"cell\": \"0.011\", \"bbox\": [464, 154, 483, 164]}, {\"cell\": \"13\", \"bbox\": [2, 166, 12, 177]}, {\"cell\": \"4-Methyl-1-(1-methylethyl)-\", \"bbox\": [35, 166, 136, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [416, 166, 436, 177]}, {\"cell\": \"0.031\", \"bbox\": [463, 166, 483, 177]}, {\"cell\": \"14\", \"bbox\": [2, 179, 12, 189]}, {\"cell\": \"1,3-Cyclohexadiene-1-methanol\", \"bbox\": [35, 179, 149, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [415, 179, 436, 189]}, {\"cell\": \"2.023\", \"bbox\": [463, 179, 484, 189]}, {\"cell\": \"15\", \"bbox\": [2, 191, 12, 202]}, {\"cell\": \"Cuminaldehyde\", \"bbox\": [35, 191, 94, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [416, 191, 436, 202]}, {\"cell\": \"48.773\", \"bbox\": [461, 191, 486, 202]}, {\"cell\": \"16\", \"bbox\": [2, 204, 12, 214]}, {\"cell\": \"3-Cyclohexene-1-carboxaldehyde, 1,3,4-trimethyl-\", \"bbox\": [35, 204, 214, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [415, 204, 436, 214]}, {\"cell\": \"0.064\", \"bbox\": [462, 204, 484, 214]}, {\"cell\": \"17\", \"bbox\": [2, 216, 12, 227]}, {\"cell\": \"1H-Cyclopropa[a]naphthalene,1a,2,3,5,6,7,7a,7b-octahydro-1,1,7,7a-tetramethyl-, [1aR-(1aà,7à,7aà,7bà)]-\", \"bbox\": [35, 216, 404, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [415, 216, 436, 227]}, {\"cell\": \"0.034\", \"bbox\": [462, 216, 484, 227]}, {\"cell\": \"18\", \"bbox\": [2, 228, 12, 239]}, {\"cell\": \"3-Caren-10-al\", \"bbox\": [35, 228, 86, 239]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [415, 228, 436, 239]}, {\"cell\": \"14.000\", \"bbox\": [461, 228, 486, 239]}, {\"cell\": \"19\", \"bbox\": [2, 241, 12, 252]}, {\"cell\": \"2-Caren-10-al\", \"bbox\": [35, 241, 86, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [415, 241, 436, 252]}, {\"cell\": \"9.355\", \"bbox\": [463, 241, 483, 252]}, {\"cell\": \"20\", \"bbox\": [2, 253, 13, 264]}, {\"cell\": \"Benzenemethanol, 4-(1-methylethyl)-\", \"bbox\": [35, 253, 171, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [416, 253, 436, 264]}, {\"cell\": \"0.078\", \"bbox\": [463, 253, 484, 264]}, {\"cell\": \"21\", \"bbox\": [2, 266, 12, 276]}, {\"cell\": \"Bicyclo[3.1.1]hept-2-ene-2-methanol, 6,6-dimethyl-\", \"bbox\": [35, 266, 220, 276]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [415, 266, 436, 276]}, {\"cell\": \"0.016\", \"bbox\": [463, 266, 483, 276]}, {\"cell\": \"22\", \"bbox\": [2, 278, 13, 289]}, {\"cell\": \"cis-à-Bisabolene\", \"bbox\": [35, 278, 95, 289]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [415, 278, 436, 289]}, {\"cell\": \"0.026\", \"bbox\": [462, 278, 484, 289]}, {\"cell\": \"23\", \"bbox\": [2, 291, 13, 301]}, {\"cell\": \"1,6,10-Dodecatriene, 7,11-dimethyl-3-methylene-, (E)-\", \"bbox\": [35, 291, 227, 301]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [416, 291, 436, 301]}, {\"cell\": \"0.029\", \"bbox\": [463, 291, 484, 301]}, {\"cell\": \"24\", \"bbox\": [2, 303, 13, 314]}, {\"cell\": \"γ-Elemene\", \"bbox\": [35, 300, 75, 315]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [416, 303, 436, 314]}, {\"cell\": \"0.031\", \"bbox\": [463, 303, 483, 314]}, {\"cell\": \"25\", \"bbox\": [2, 316, 13, 326]}, {\"cell\": \"Naphthalene\", \"bbox\": [35, 316, 82, 326]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [416, 316, 436, 326]}, {\"cell\": \"0.012\", \"bbox\": [463, 316, 483, 326]}, {\"cell\": \"26\", \"bbox\": [2, 328, 13, 339]}, {\"cell\": \"Carotol\", \"bbox\": [35, 328, 64, 339]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [417, 328, 435, 339]}, {\"cell\": \"0.011\", \"bbox\": [464, 328, 483, 339]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Total identified\", \"bbox\": [35, 341, 91, 351]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"99.81\", \"bbox\": [463, 341, 483, 351]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4575746_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]T2DM (n = 78)Controls (n = 14)P value
Rate pressure product ((beats/min)mmHg)8503 ± 1458[EMPTY_CELL]0.005
Distensibility aorta ascendens (10-3mmHg-1)3.13 (2.29-5.95)[EMPTY_CELL]0.008
LV mass (g)107.3 ± 16.7*[EMPTY_CELL]0.42
LV enddiastolic volume (mL)154 (134-174)[EMPTY_CELL]0.002
LV end-systolic volume (mL)59 (52-71)*[EMPTY_CELL]0.001
LV mass/volume ratio (g/mL)0.70 ± 0.11[EMPTY_CELL]0.05
Stroke volume (mL)94 ± 16*[EMPTY_CELL]0.002
LV ejection fraction (%)60 ± 6*[EMPTY_CELL]0.35
E peak filling rate (mL/s)417 ± 84*[EMPTY_CELL]< 0.001
E deceleration peak (mL/s2 10-3)3.40 (2.89-3.99)*[EMPTY_CELL]0.003
E/A peak ratio1.04 ± 0.25*[EMPTY_CELL]0.01
E/Ea9.3 (7.0-11.7)[EMPTY_CELL]0.34
MBF (mL/g/min)0.84 (0.75-0.96)[EMPTY_CELL]0.8
MMRglu (nmol/mL/min)257 ± 130[EMPTY_CELL]0.02
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"T2DM (n = 78)\", \"bbox\": [127, 4, 156, 22]}, {\"cell\": \"Controls (n = 14)\", \"bbox\": [170, 4, 201, 22]}, {\"cell\": \"P value\", \"bbox\": [212, 4, 232, 22]}, {\"cell\": \"Rate pressure product ((beats/min)mmHg)\", \"bbox\": [1, 26, 114, 45]}, {\"cell\": \"8503 ± 1458\", \"bbox\": [127, 26, 151, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 26, 195, 45]}, {\"cell\": \"0.005\", \"bbox\": [212, 26, 230, 36]}, {\"cell\": \"Distensibility aorta ascendens (10-3mmHg-1)\", \"bbox\": [1, 47, 97, 66]}, {\"cell\": \"3.13 (2.29-5.95)\", \"bbox\": [127, 47, 161, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 47, 204, 66]}, {\"cell\": \"0.008\", \"bbox\": [212, 47, 230, 57]}, {\"cell\": \"LV mass (g)\", \"bbox\": [1, 68, 40, 78]}, {\"cell\": \"107.3 ± 16.7*\", \"bbox\": [127, 68, 153, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 68, 196, 86]}, {\"cell\": \"0.42\", \"bbox\": [212, 68, 227, 78]}, {\"cell\": \"LV enddiastolic volume (mL)\", \"bbox\": [1, 89, 94, 98]}, {\"cell\": \"154 (134-174)\", \"bbox\": [127, 89, 158, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 89, 201, 107]}, {\"cell\": \"0.002\", \"bbox\": [212, 89, 230, 98]}, {\"cell\": \"LV end-systolic volume (mL)\", \"bbox\": [1, 110, 93, 119]}, {\"cell\": \"59 (52-71)*\", \"bbox\": [127, 110, 164, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 110, 204, 119]}, {\"cell\": \"0.001\", \"bbox\": [212, 110, 230, 119]}, {\"cell\": \"LV mass/volume ratio (g/mL)\", \"bbox\": [1, 122, 96, 131]}, {\"cell\": \"0.70 ± 0.11\", \"bbox\": [127, 122, 164, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 122, 208, 131]}, {\"cell\": \"0.05\", \"bbox\": [212, 122, 227, 131]}, {\"cell\": \"Stroke volume (mL)\", \"bbox\": [1, 134, 66, 143]}, {\"cell\": \"94 ± 16*\", \"bbox\": [127, 134, 157, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 134, 201, 143]}, {\"cell\": \"0.002\", \"bbox\": [212, 134, 230, 143]}, {\"cell\": \"LV ejection fraction (%)\", \"bbox\": [1, 146, 77, 155]}, {\"cell\": \"60 ± 6*\", \"bbox\": [127, 146, 153, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 146, 194, 155]}, {\"cell\": \"0.35\", \"bbox\": [212, 146, 227, 155]}, {\"cell\": \"E peak filling rate (mL/s)\", \"bbox\": [1, 158, 81, 167]}, {\"cell\": \"417 ± 84*\", \"bbox\": [127, 158, 161, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 158, 205, 167]}, {\"cell\": \"< 0.001\", \"bbox\": [212, 158, 230, 176]}, {\"cell\": \"E deceleration peak (mL/s2 10-3)\", \"bbox\": [1, 177, 106, 188]}, {\"cell\": \"3.40 (2.89-3.99)*\", \"bbox\": [127, 179, 164, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 179, 204, 197]}, {\"cell\": \"0.003\", \"bbox\": [212, 179, 230, 188]}, {\"cell\": \"E/A peak ratio\", \"bbox\": [0, 200, 48, 209]}, {\"cell\": \"1.04 ± 0.25*\", \"bbox\": [127, 200, 149, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 200, 208, 209]}, {\"cell\": \"0.01\", \"bbox\": [212, 200, 227, 209]}, {\"cell\": \"E/Ea\", \"bbox\": [1, 220, 16, 230]}, {\"cell\": \"9.3 (7.0-11.7)\", \"bbox\": [127, 220, 154, 239]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 220, 200, 239]}, {\"cell\": \"0.34\", \"bbox\": [212, 220, 227, 230]}, {\"cell\": \"MBF (mL/g/min)\", \"bbox\": [1, 241, 55, 251]}, {\"cell\": \"0.84 (0.75-0.96)\", \"bbox\": [127, 241, 161, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 241, 204, 260]}, {\"cell\": \"0.8\", \"bbox\": [212, 241, 223, 251]}, {\"cell\": \"MMRglu (nmol/mL/min)\", \"bbox\": [1, 262, 80, 272]}, {\"cell\": \"257 ± 130\", \"bbox\": [127, 262, 161, 272]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 262, 205, 272]}, {\"cell\": \"0.02\", \"bbox\": [212, 262, 227, 272]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3157422_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Inclusion criteria:VF/VT groupAsphyxia group
Initial rhythmVF/VT[EMPTY_CELL]
Age>18 years[EMPTY_CELL]
Core temperature>30°C[EMPTY_CELL]
Measurement of PetCO2 valuesEvery minute in the first 10 minutes after intubation[EMPTY_CELL]
AetiologyConfirmed acute myocardial infarction and/or primary VF/VT (electrocardiogram, enzymes, electrophysiological studies)[EMPTY_CELL]
Exclusion criteria:[EMPTY_CELL][EMPTY_CELL]
CPR proceduresSuccessful defibrillation in the first cycle[EMPTY_CELL]
AetiologyAcute myocardial infarction with asystole or PEA as the initial rhythm (autopsy or additional investigations in the hospital)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Inclusion criteria:\", \"bbox\": [1, 4, 33, 22]}, {\"cell\": \"VF/VT group\", \"bbox\": [53, 4, 99, 13]}, {\"cell\": \"Asphyxia group\", \"bbox\": [146, 4, 203, 13]}, {\"cell\": \"Initial rhythm\", \"bbox\": [1, 26, 45, 36]}, {\"cell\": \"VF/VT\", \"bbox\": [53, 26, 73, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [146, 26, 198, 36]}, {\"cell\": \"Age\", \"bbox\": [1, 38, 15, 48]}, {\"cell\": \">18 years\", \"bbox\": [53, 38, 86, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [146, 38, 179, 48]}, {\"cell\": \"Core temperature\", \"bbox\": [1, 50, 42, 69]}, {\"cell\": \">30°C\", \"bbox\": [53, 50, 74, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [146, 50, 167, 60]}, {\"cell\": \"Measurement of PetCO2 values\", \"bbox\": [1, 71, 46, 98]}, {\"cell\": \"Every minute in the first 10 minutes after intubation\", \"bbox\": [53, 71, 132, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [146, 71, 236, 89]}, {\"cell\": \"Aetiology\", \"bbox\": [1, 101, 33, 110]}, {\"cell\": \"Confirmed acute myocardial infarction and/or primary VF/VT (electrocardiogram, enzymes, electrophysiological studies)\", \"bbox\": [53, 101, 139, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [146, 101, 235, 173]}, {\"cell\": \"Exclusion criteria:\", \"bbox\": [1, 176, 32, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CPR procedures\", \"bbox\": [1, 197, 38, 215]}, {\"cell\": \"Successful defibrillation in the first cycle\", \"bbox\": [53, 197, 138, 215]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [146, 197, 228, 224]}, {\"cell\": \"Aetiology\", \"bbox\": [1, 226, 33, 236]}, {\"cell\": \"Acute myocardial infarction with asystole or PEA as the initial rhythm (autopsy or additional investigations in the hospital)\", \"bbox\": [53, 226, 138, 281]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [146, 226, 236, 272]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3222045_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariablePhysical aggression, whole life (N = 120)Physical aggression, 2009 (N = 45)Non physical aggression, whole life (N = 144)Non physical aggression, 2009 (N = 61)Internal, non physical aggression, whole life (N = 53)
DemandUn.1.06 (0.99-1.14)1.07 (0.97-1.18)1.18 (1.11-1.26)***[EMPTY_CELL]1.00 (0.89-1.11)
[EMPTY_CELL]Ad.1.07 (0.99-1.16)1.12 (0.99-1.27)1.17 (1.10-1.26)***[EMPTY_CELL]1.02 (0.90-1.15)
ControlUn.1.01 (0.94-1.09)0.98 (0.87-1.09)1.00 (0.93-1.08)[EMPTY_CELL]0.83 (0.73-0.95)***
[EMPTY_CELL]Ad.0.97 (0.89-1.06)0.90 (0.79-1.03)0.98 (0.90-1.06)[EMPTY_CELL]0.85 (0.74-0.98)*
SupportUn.0.95 (0.89-1.02)0.93 (0.85-1.02)0.86 (0.81-0.92)***[EMPTY_CELL]0.80 (0.71-0.89)***
[EMPTY_CELL]Ad.0.95 (0.89-1.02)0.91 (0.82-1.00)0.85 (0.80-0.91)***[EMPTY_CELL]0.79 (0.69-0.90)***
JusticeUn.0.98 (0.96-0.99)*0.98 (0.95-0.99)*0.97 (0.95-0.98)***[EMPTY_CELL]0.95 (0.93-0.98)***
[EMPTY_CELL]Ad.0.98 (0.97-1.00)0.98 (0.95-0.99)*0.97 (0.95-0.98)***[EMPTY_CELL]0.96 (0.93-0.99)***
Psychological disordersUn.1.03 (0.99-1.07)1.00 (0.94-1.06)1.11 (1.07-1.16)***[EMPTY_CELL]1.11 (1.05-1.18)***
[EMPTY_CELL]Ad.1.02 (0.97-1.07)1.00 (0.94-1.08)1.11 (1.06-1.16)***[EMPTY_CELL]1.12 (1.04-1.20)***
\", \"cells\": [{\"cell\": \"Variable\", \"bbox\": [1, 4, 31, 13]}, {\"cell\": \"Physical aggression, whole life (N = 120)\", \"bbox\": [107, 4, 179, 22]}, {\"cell\": \"Physical aggression, 2009 (N = 45)\", \"bbox\": [188, 4, 259, 22]}, {\"cell\": \"Non physical aggression, whole life (N = 144)\", \"bbox\": [268, 4, 336, 31]}, {\"cell\": \"Non physical aggression, 2009 (N = 61)\", \"bbox\": [345, 4, 392, 31]}, {\"cell\": \"Internal, non physical aggression, whole life (N = 53)\", \"bbox\": [413, 4, 484, 31]}, {\"cell\": \"Demand\", \"bbox\": [1, 35, 30, 44]}, {\"cell\": \"Un.\", \"bbox\": [86, 35, 98, 44]}, {\"cell\": \"1.06 (0.99-1.14)\", \"bbox\": [107, 35, 156, 44]}, {\"cell\": \"1.07 (0.97-1.18)\", \"bbox\": [188, 35, 237, 44]}, {\"cell\": \"1.18 (1.11-1.26)***\", \"bbox\": [268, 35, 326, 44]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 35, 404, 44]}, {\"cell\": \"1.00 (0.89-1.11)\", \"bbox\": [413, 35, 462, 44]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ad.\", \"bbox\": [86, 49, 98, 58]}, {\"cell\": \"1.07 (0.99-1.16)\", \"bbox\": [107, 49, 156, 58]}, {\"cell\": \"1.12 (0.99-1.27)\", \"bbox\": [188, 49, 237, 58]}, {\"cell\": \"1.17 (1.10-1.26)***\", \"bbox\": [268, 49, 326, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 49, 404, 58]}, {\"cell\": \"1.02 (0.90-1.15)\", \"bbox\": [413, 49, 462, 58]}, {\"cell\": \"Control\", \"bbox\": [1, 63, 26, 72]}, {\"cell\": \"Un.\", \"bbox\": [86, 63, 98, 72]}, {\"cell\": \"1.01 (0.94-1.09)\", \"bbox\": [107, 63, 156, 72]}, {\"cell\": \"0.98 (0.87-1.09)\", \"bbox\": [188, 63, 237, 72]}, {\"cell\": \"1.00 (0.93-1.08)\", \"bbox\": [268, 63, 317, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 63, 395, 72]}, {\"cell\": \"0.83 (0.73-0.95)***\", \"bbox\": [413, 63, 471, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ad.\", \"bbox\": [86, 77, 98, 86]}, {\"cell\": \"0.97 (0.89-1.06)\", \"bbox\": [107, 77, 156, 86]}, {\"cell\": \"0.90 (0.79-1.03)\", \"bbox\": [188, 77, 237, 86]}, {\"cell\": \"0.98 (0.90-1.06)\", \"bbox\": [268, 77, 317, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 77, 395, 86]}, {\"cell\": \"0.85 (0.74-0.98)*\", \"bbox\": [413, 77, 465, 86]}, {\"cell\": \"Support\", \"bbox\": [1, 91, 28, 100]}, {\"cell\": \"Un.\", \"bbox\": [86, 91, 98, 100]}, {\"cell\": \"0.95 (0.89-1.02)\", \"bbox\": [107, 91, 156, 100]}, {\"cell\": \"0.93 (0.85-1.02)\", \"bbox\": [188, 91, 237, 100]}, {\"cell\": \"0.86 (0.81-0.92)***\", \"bbox\": [268, 91, 326, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 91, 404, 100]}, {\"cell\": \"0.80 (0.71-0.89)***\", \"bbox\": [413, 91, 471, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ad.\", \"bbox\": [86, 105, 98, 114]}, {\"cell\": \"0.95 (0.89-1.02)\", \"bbox\": [107, 105, 156, 114]}, {\"cell\": \"0.91 (0.82-1.00)\", \"bbox\": [188, 105, 237, 114]}, {\"cell\": \"0.85 (0.80-0.91)***\", \"bbox\": [268, 105, 326, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 105, 404, 114]}, {\"cell\": \"0.79 (0.69-0.90)***\", \"bbox\": [413, 105, 471, 114]}, {\"cell\": \"Justice\", \"bbox\": [1, 119, 24, 128]}, {\"cell\": \"Un.\", \"bbox\": [86, 119, 98, 128]}, {\"cell\": \"0.98 (0.96-0.99)*\", \"bbox\": [107, 119, 159, 128]}, {\"cell\": \"0.98 (0.95-0.99)*\", \"bbox\": [188, 119, 240, 128]}, {\"cell\": \"0.97 (0.95-0.98)***\", \"bbox\": [268, 119, 326, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 119, 404, 128]}, {\"cell\": \"0.95 (0.93-0.98)***\", \"bbox\": [413, 119, 471, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ad.\", \"bbox\": [86, 133, 98, 142]}, {\"cell\": \"0.98 (0.97-1.00)\", \"bbox\": [107, 133, 156, 142]}, {\"cell\": \"0.98 (0.95-0.99)*\", \"bbox\": [188, 133, 240, 142]}, {\"cell\": \"0.97 (0.95-0.98)***\", \"bbox\": [268, 133, 326, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 133, 404, 142]}, {\"cell\": \"0.96 (0.93-0.99)***\", \"bbox\": [413, 133, 471, 142]}, {\"cell\": \"Psychological disorders\", \"bbox\": [1, 147, 76, 156]}, {\"cell\": \"Un.\", \"bbox\": [86, 147, 98, 156]}, {\"cell\": \"1.03 (0.99-1.07)\", \"bbox\": [107, 147, 156, 156]}, {\"cell\": \"1.00 (0.94-1.06)\", \"bbox\": [188, 147, 237, 156]}, {\"cell\": \"1.11 (1.07-1.16)***\", \"bbox\": [268, 147, 326, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 147, 404, 156]}, {\"cell\": \"1.11 (1.05-1.18)***\", \"bbox\": [413, 147, 471, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ad.\", \"bbox\": [86, 160, 98, 170]}, {\"cell\": \"1.02 (0.97-1.07)\", \"bbox\": [107, 160, 156, 170]}, {\"cell\": \"1.00 (0.94-1.08)\", \"bbox\": [188, 160, 237, 170]}, {\"cell\": \"1.11 (1.06-1.16)***\", \"bbox\": [268, 160, 326, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 160, 404, 170]}, {\"cell\": \"1.12 (1.04-1.20)***\", \"bbox\": [413, 160, 471, 170]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3464150_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Pretreatment (mean ± SD)After 12 months (mean ± SD)
[EMPTY_CELL]Endoscopic laser cordectomyOpen cordectomyEndoscopic laser cordectomyOpen cordectomy
F0 (Hz)149.49 ± 21.78[EMPTY_CELL]144.32 ± 23.1146.66 ± 26.69
Student's t-testP=0.399 [EMPTY_CELL]
Jitter (%)0.52 ± 0.15[EMPTY_CELL]0.71 ± 0.270.56 ± 0.16
Student's t-testP=0.684 [EMPTY_CELL]
Shimmer (%)5.78 ± 0.98[EMPTY_CELL]6.47 ± 1.226.02 ± 1.04
Student's t-testP=0.341 [EMPTY_CELL]
NNE (dB)−5.41 ± 1.18[EMPTY_CELL]−5.6 ± 1.44−6.05 ± 1.42
Student's t-testP=0.127 [EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Pretreatment (mean ± SD)\", \"bbox\": [129, 1, 226, 16]}, {\"cell\": \"After 12 months (mean ± SD)\", \"bbox\": [346, 1, 453, 16]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Endoscopic laser cordectomy\", \"bbox\": [78, 16, 184, 27]}, {\"cell\": \"Open cordectomy\", \"bbox\": [209, 16, 276, 27]}, {\"cell\": \"Endoscopic laser cordectomy\", \"bbox\": [301, 16, 407, 27]}, {\"cell\": \"Open cordectomy\", \"bbox\": [432, 16, 499, 27]}, {\"cell\": \"F0 (Hz)\", \"bbox\": [2, 29, 33, 40]}, {\"cell\": \"149.49 ± 21.78\", \"bbox\": [106, 26, 157, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [219, 26, 266, 41]}, {\"cell\": \"144.32 ± 23.1\", \"bbox\": [331, 26, 377, 41]}, {\"cell\": \"146.66 ± 26.69\", \"bbox\": [439, 26, 492, 41]}, {\"cell\": \"Student's t-test\", \"bbox\": [2, 42, 57, 52]}, {\"cell\": \"P=0.399 \", \"bbox\": [159, 42, 197, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [381, 42, 418, 50]}, {\"cell\": \"Jitter (%)\", \"bbox\": [2, 54, 37, 65]}, {\"cell\": \"0.52 ± 0.15\", \"bbox\": [111, 51, 151, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [223, 51, 262, 66]}, {\"cell\": \"0.71 ± 0.27\", \"bbox\": [334, 51, 374, 66]}, {\"cell\": \"0.56 ± 0.16\", \"bbox\": [445, 51, 485, 66]}, {\"cell\": \"Student's t-test\", \"bbox\": [2, 67, 57, 77]}, {\"cell\": \"P=0.684 \", \"bbox\": [159, 67, 197, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 63, 420, 75]}, {\"cell\": \"Shimmer (%)\", \"bbox\": [2, 79, 53, 90]}, {\"cell\": \"5.78 ± 0.98\", \"bbox\": [111, 76, 152, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 76, 261, 91]}, {\"cell\": \"6.47 ± 1.22\", \"bbox\": [334, 76, 374, 91]}, {\"cell\": \"6.02 ± 1.04\", \"bbox\": [445, 76, 485, 91]}, {\"cell\": \"Student's t-test\", \"bbox\": [2, 91, 57, 102]}, {\"cell\": \"P=0.341 \", \"bbox\": [160, 92, 196, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [381, 92, 418, 100]}, {\"cell\": \"NNE (dB)\", \"bbox\": [2, 104, 41, 115]}, {\"cell\": \"−5.41 ± 1.18\", \"bbox\": [110, 101, 152, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 101, 265, 116]}, {\"cell\": \"−5.6 ± 1.44\", \"bbox\": [333, 101, 375, 116]}, {\"cell\": \"−6.05 ± 1.42\", \"bbox\": [443, 101, 488, 116]}, {\"cell\": \"Student's t-test\", \"bbox\": [2, 116, 57, 127]}, {\"cell\": \"P=0.127 \", \"bbox\": [159, 116, 196, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [383, 116, 416, 125]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4060788_003_02.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
CostaArgentinaBrazilChileColombiaEcuadorMexicoPeru
[EMPTY_CELL]Indacaterol, Linagliptin, RivaroxavanRivaroxavan, RoflumilastApixaban, Indacaterol, RivaroxavanRivaroxavan–RivaroxavanRivaroxavan
[EMPTY_CELL]Apixaban, TicagrelorApixaban, Ticagrelor–Apixaban, IndacaterolIndacaterolApixaban, Azilsartan, Linagliptin, Ticagrelor–
[EMPTY_CELL]–BelataceptAflibercept, Belimumab––––
[EMPTY_CELL]RegorafenibAflibercept, Belimumab–Aflibercept–––
[EMPTY_CELL]Aflibercept, Belatacept, Tofacitinib––Tofacitinib–Tofacitinib–
[EMPTY_CELL]Telaprevir––––––
[EMPTY_CELL]–Ipilimumab, Pertuzumab, TelaprevirIpilimumab––Pertuzumab–
[EMPTY_CELL]Ipilimumab, PasireotidePasireotide–––––
[EMPTY_CELL]VandetanibVandetanib–––––
[EMPTY_CELL]––Taliglucerase alfa––––
\", \"cells\": [{\"cell\": \"Costa\", \"bbox\": [9, 5, 27, 16]}, {\"cell\": \"Argentina\", \"bbox\": [51, 5, 86, 16]}, {\"cell\": \"Brazil\", \"bbox\": [122, 5, 143, 16]}, {\"cell\": \"Chile\", \"bbox\": [191, 5, 209, 16]}, {\"cell\": \"Colombia\", \"bbox\": [249, 5, 282, 16]}, {\"cell\": \"Ecuador\", \"bbox\": [312, 5, 340, 16]}, {\"cell\": \"Mexico\", \"bbox\": [374, 5, 399, 16]}, {\"cell\": \"Peru\", \"bbox\": [442, 5, 459, 16]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 20, 16, 31]}, {\"cell\": \"Indacaterol, Linagliptin, Rivaroxavan\", \"bbox\": [40, 20, 81, 51]}, {\"cell\": \"Rivaroxavan, Roflumilast\", \"bbox\": [103, 20, 146, 41]}, {\"cell\": \"Apixaban, Indacaterol, Rivaroxavan\", \"bbox\": [169, 20, 210, 51]}, {\"cell\": \"Rivaroxavan\", \"bbox\": [237, 20, 278, 31]}, {\"cell\": \"–\", \"bbox\": [300, 20, 307, 31]}, {\"cell\": \"Rivaroxavan\", \"bbox\": [358, 20, 399, 31]}, {\"cell\": \"Rivaroxavan\", \"bbox\": [422, 20, 463, 31]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 53, 18, 63]}, {\"cell\": \"Apixaban, Ticagrelor\", \"bbox\": [40, 53, 74, 73]}, {\"cell\": \"Apixaban, Ticagrelor\", \"bbox\": [103, 53, 138, 73]}, {\"cell\": \"–\", \"bbox\": [169, 53, 176, 63]}, {\"cell\": \"Apixaban, Indacaterol\", \"bbox\": [237, 53, 275, 73]}, {\"cell\": \"Indacaterol\", \"bbox\": [300, 53, 339, 63]}, {\"cell\": \"Apixaban, Azilsartan, Linagliptin, Ticagrelor\", \"bbox\": [358, 53, 396, 93]}, {\"cell\": \"–\", \"bbox\": [422, 53, 428, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 95, 18, 105]}, {\"cell\": \"–\", \"bbox\": [40, 95, 46, 105]}, {\"cell\": \"Belatacept\", \"bbox\": [103, 95, 140, 105]}, {\"cell\": \"Aflibercept, Belimumab\", \"bbox\": [169, 95, 209, 115]}, {\"cell\": \"–\", \"bbox\": [237, 95, 243, 105]}, {\"cell\": \"–\", \"bbox\": [300, 95, 307, 105]}, {\"cell\": \"–\", \"bbox\": [358, 95, 365, 105]}, {\"cell\": \"–\", \"bbox\": [422, 95, 428, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 117, 26, 127]}, {\"cell\": \"Regorafenib\", \"bbox\": [40, 117, 81, 127]}, {\"cell\": \"Aflibercept, Belimumab\", \"bbox\": [103, 117, 143, 137]}, {\"cell\": \"–\", \"bbox\": [169, 117, 176, 127]}, {\"cell\": \"Aflibercept\", \"bbox\": [237, 117, 275, 127]}, {\"cell\": \"–\", \"bbox\": [300, 117, 307, 127]}, {\"cell\": \"–\", \"bbox\": [358, 117, 365, 127]}, {\"cell\": \"–\", \"bbox\": [422, 117, 428, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 139, 26, 150]}, {\"cell\": \"Aflibercept, Belatacept, Tofacitinib\", \"bbox\": [40, 139, 79, 170]}, {\"cell\": \"–\", \"bbox\": [103, 139, 110, 150]}, {\"cell\": \"–\", \"bbox\": [169, 139, 176, 150]}, {\"cell\": \"Tofacitinib\", \"bbox\": [237, 139, 273, 150]}, {\"cell\": \"–\", \"bbox\": [300, 139, 307, 150]}, {\"cell\": \"Tofacitinib\", \"bbox\": [358, 139, 394, 150]}, {\"cell\": \"–\", \"bbox\": [422, 139, 428, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 172, 26, 182]}, {\"cell\": \"Telaprevir\", \"bbox\": [40, 172, 73, 182]}, {\"cell\": \"–\", \"bbox\": [103, 172, 110, 182]}, {\"cell\": \"–\", \"bbox\": [169, 172, 176, 182]}, {\"cell\": \"–\", \"bbox\": [237, 172, 243, 182]}, {\"cell\": \"–\", \"bbox\": [300, 172, 307, 182]}, {\"cell\": \"–\", \"bbox\": [358, 172, 365, 182]}, {\"cell\": \"–\", \"bbox\": [422, 172, 428, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 184, 26, 194]}, {\"cell\": \"–\", \"bbox\": [40, 184, 46, 194]}, {\"cell\": \"Ipilimumab, Pertuzumab, Telaprevir\", \"bbox\": [103, 184, 146, 214]}, {\"cell\": \"Ipilimumab\", \"bbox\": [169, 184, 209, 194]}, {\"cell\": \"–\", \"bbox\": [237, 184, 243, 194]}, {\"cell\": \"–\", \"bbox\": [300, 184, 307, 194]}, {\"cell\": \"Pertuzumab\", \"bbox\": [358, 184, 400, 194]}, {\"cell\": \"–\", \"bbox\": [422, 184, 428, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 216, 22, 236]}, {\"cell\": \"Ipilimumab, Pasireotide\", \"bbox\": [40, 216, 81, 236]}, {\"cell\": \"Pasireotide\", \"bbox\": [103, 216, 141, 226]}, {\"cell\": \"–\", \"bbox\": [169, 216, 176, 226]}, {\"cell\": \"–\", \"bbox\": [237, 216, 243, 226]}, {\"cell\": \"–\", \"bbox\": [300, 216, 307, 226]}, {\"cell\": \"–\", \"bbox\": [358, 216, 365, 226]}, {\"cell\": \"–\", \"bbox\": [422, 216, 428, 226]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 238, 22, 259]}, {\"cell\": \"Vandetanib\", \"bbox\": [40, 238, 79, 249]}, {\"cell\": \"Vandetanib\", \"bbox\": [103, 238, 143, 249]}, {\"cell\": \"–\", \"bbox\": [169, 238, 176, 249]}, {\"cell\": \"–\", \"bbox\": [237, 238, 243, 249]}, {\"cell\": \"–\", \"bbox\": [300, 238, 307, 249]}, {\"cell\": \"–\", \"bbox\": [358, 238, 365, 249]}, {\"cell\": \"–\", \"bbox\": [422, 238, 428, 249]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 261, 22, 281]}, {\"cell\": \"–\", \"bbox\": [40, 261, 46, 271]}, {\"cell\": \"–\", \"bbox\": [103, 261, 110, 271]}, {\"cell\": \"Taliglucerase alfa\", \"bbox\": [169, 261, 226, 271]}, {\"cell\": \"–\", \"bbox\": [237, 261, 243, 271]}, {\"cell\": \"–\", \"bbox\": [300, 261, 307, 271]}, {\"cell\": \"–\", \"bbox\": [358, 261, 365, 271]}, {\"cell\": \"–\", \"bbox\": [422, 261, 428, 271]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4645434_004_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Gene symbolGene nameGO
CCL21B[EMPTY_CELL]1–2
CD276[EMPTY_CELL]1–2
SPP1[EMPTY_CELL]1–2
CD24[EMPTY_CELL]1
C1QG[EMPTY_CELL]1
CD74[EMPTY_CELL]1
HLA-DMA[EMPTY_CELL]1
HLA-DMB[EMPTY_CELL]1
DEFB1[EMPTY_CELL]1
FCGR3[EMPTY_CELL]1
PLSCR1[EMPTY_CELL]1
PRNP[EMPTY_CELL]1
RT1-BA[EMPTY_CELL]1
RT1-CE5[EMPTY_CELL]1
RT1-DA[EMPTY_CELL]1
RT1-DB1[EMPTY_CELL]1
RT1-BB[EMPTY_CELL]1
ANXA1[EMPTY_CELL]2
FABP4[EMPTY_CELL]2
S100A8[EMPTY_CELL]2
S100A9[EMPTY_CELL]2
CDC2A[EMPTY_CELL]3
EGR1[EMPTY_CELL]3
CRYAB[EMPTY_CELL]3
CCND1[EMPTY_CELL]3
CD36[EMPTY_CELL]3
GCLC[EMPTY_CELL]3
GGT1[EMPTY_CELL]3
GPX2[EMPTY_CELL]3
GPX3[EMPTY_CELL]3
GSR[EMPTY_CELL]3
GSS[EMPTY_CELL]3
HSPCB[EMPTY_CELL]3
LAMC1[EMPTY_CELL]3
MTAP2[EMPTY_CELL]3
NOL3[EMPTY_CELL]3
NQO1[EMPTY_CELL]3
PDLIM1[EMPTY_CELL]3
SLC25A4[EMPTY_CELL]3
TXNRD1[EMPTY_CELL]3
\", \"cells\": [{\"cell\": \"Gene symbol\", \"bbox\": [4, 4, 51, 14]}, {\"cell\": \"Gene name\", \"bbox\": [92, 4, 132, 14]}, {\"cell\": \"GO\", \"bbox\": [468, 4, 483, 14]}, {\"cell\": \"CCL21B\", \"bbox\": [4, 27, 35, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 27, 235, 36]}, {\"cell\": \"1–2\", \"bbox\": [468, 27, 483, 36]}, {\"cell\": \"CD276\", \"bbox\": [4, 37, 31, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 37, 144, 47]}, {\"cell\": \"1–2\", \"bbox\": [468, 37, 483, 47]}, {\"cell\": \"SPP1\", \"bbox\": [4, 47, 23, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 47, 184, 57]}, {\"cell\": \"1–2\", \"bbox\": [468, 47, 483, 57]}, {\"cell\": \"CD24\", \"bbox\": [4, 57, 27, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 57, 140, 67]}, {\"cell\": \"1\", \"bbox\": [468, 57, 475, 67]}, {\"cell\": \"C1QG\", \"bbox\": [4, 68, 29, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 68, 311, 77]}, {\"cell\": \"1\", \"bbox\": [468, 68, 475, 77]}, {\"cell\": \"CD74\", \"bbox\": [4, 78, 27, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 78, 140, 88]}, {\"cell\": \"1\", \"bbox\": [468, 78, 475, 88]}, {\"cell\": \"HLA-DMA\", \"bbox\": [4, 88, 43, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 88, 267, 98]}, {\"cell\": \"1\", \"bbox\": [468, 88, 475, 98]}, {\"cell\": \"HLA-DMB\", \"bbox\": [4, 98, 42, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 98, 264, 108]}, {\"cell\": \"1\", \"bbox\": [468, 98, 475, 108]}, {\"cell\": \"DEFB1\", \"bbox\": [4, 109, 29, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 109, 144, 118]}, {\"cell\": \"1\", \"bbox\": [468, 109, 475, 118]}, {\"cell\": \"FCGR3\", \"bbox\": [4, 119, 31, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 119, 197, 129]}, {\"cell\": \"1\", \"bbox\": [468, 119, 475, 129]}, {\"cell\": \"PLSCR1\", \"bbox\": [4, 129, 33, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 129, 181, 139]}, {\"cell\": \"1\", \"bbox\": [468, 129, 475, 139]}, {\"cell\": \"PRNP\", \"bbox\": [4, 139, 26, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 139, 138, 149]}, {\"cell\": \"1\", \"bbox\": [468, 139, 475, 149]}, {\"cell\": \"RT1-BA\", \"bbox\": [4, 150, 33, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 150, 163, 159]}, {\"cell\": \"1\", \"bbox\": [468, 150, 475, 159]}, {\"cell\": \"RT1-CE5\", \"bbox\": [4, 160, 37, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 160, 148, 170]}, {\"cell\": \"1\", \"bbox\": [468, 160, 475, 170]}, {\"cell\": \"RT1-DA\", \"bbox\": [4, 170, 35, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 170, 165, 180]}, {\"cell\": \"1\", \"bbox\": [468, 170, 475, 180]}, {\"cell\": \"RT1-DB1\", \"bbox\": [4, 180, 38, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 180, 170, 190]}, {\"cell\": \"1\", \"bbox\": [468, 180, 475, 190]}, {\"cell\": \"RT1-BB\", \"bbox\": [4, 191, 32, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 191, 164, 200]}, {\"cell\": \"1\", \"bbox\": [468, 191, 475, 200]}, {\"cell\": \"ANXA1\", \"bbox\": [4, 201, 34, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 201, 131, 211]}, {\"cell\": \"2\", \"bbox\": [468, 201, 475, 211]}, {\"cell\": \"FABP4\", \"bbox\": [4, 211, 29, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 211, 219, 221]}, {\"cell\": \"2\", \"bbox\": [468, 211, 475, 221]}, {\"cell\": \"S100A8\", \"bbox\": [4, 221, 32, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 221, 202, 231]}, {\"cell\": \"2\", \"bbox\": [468, 221, 475, 231]}, {\"cell\": \"S100A9\", \"bbox\": [4, 232, 32, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 232, 202, 241]}, {\"cell\": \"2\", \"bbox\": [468, 232, 475, 241]}, {\"cell\": \"CDC2A\", \"bbox\": [4, 242, 34, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 242, 197, 252]}, {\"cell\": \"3\", \"bbox\": [468, 242, 475, 252]}, {\"cell\": \"EGR1\", \"bbox\": [4, 252, 26, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 252, 175, 262]}, {\"cell\": \"3\", \"bbox\": [468, 252, 475, 262]}, {\"cell\": \"CRYAB\", \"bbox\": [4, 262, 32, 272]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 262, 151, 272]}, {\"cell\": \"3\", \"bbox\": [468, 262, 475, 272]}, {\"cell\": \"CCND1\", \"bbox\": [4, 273, 35, 282]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 273, 125, 282]}, {\"cell\": \"3\", \"bbox\": [468, 273, 475, 282]}, {\"cell\": \"CD36\", \"bbox\": [4, 283, 27, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 283, 136, 293]}, {\"cell\": \"3\", \"bbox\": [468, 283, 475, 293]}, {\"cell\": \"GCLC\", \"bbox\": [4, 293, 28, 303]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 293, 233, 303]}, {\"cell\": \"3\", \"bbox\": [468, 293, 475, 303]}, {\"cell\": \"GGT1\", \"bbox\": [4, 303, 28, 313]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 303, 190, 313]}, {\"cell\": \"3\", \"bbox\": [468, 303, 475, 313]}, {\"cell\": \"GPX2\", \"bbox\": [4, 314, 27, 323]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 314, 176, 323]}, {\"cell\": \"3\", \"bbox\": [468, 314, 475, 323]}, {\"cell\": \"GPX3\", \"bbox\": [4, 324, 27, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 324, 176, 334]}, {\"cell\": \"3\", \"bbox\": [468, 324, 475, 334]}, {\"cell\": \"GSR\", \"bbox\": [4, 334, 21, 344]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 334, 165, 344]}, {\"cell\": \"3\", \"bbox\": [468, 334, 475, 344]}, {\"cell\": \"GSS\", \"bbox\": [4, 344, 20, 354]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 344, 168, 354]}, {\"cell\": \"3\", \"bbox\": [468, 344, 475, 354]}, {\"cell\": \"HSPCB\", \"bbox\": [4, 355, 31, 364]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 355, 208, 364]}, {\"cell\": \"3\", \"bbox\": [468, 355, 475, 364]}, {\"cell\": \"LAMC1\", \"bbox\": [4, 365, 32, 375]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 365, 151, 375]}, {\"cell\": \"3\", \"bbox\": [468, 365, 475, 375]}, {\"cell\": \"MTAP2\", \"bbox\": [4, 375, 32, 385]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 375, 204, 385]}, {\"cell\": \"3\", \"bbox\": [468, 375, 475, 385]}, {\"cell\": \"NOL3\", \"bbox\": [4, 385, 28, 395]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 385, 300, 395]}, {\"cell\": \"3\", \"bbox\": [468, 385, 474, 395]}, {\"cell\": \"NQO1\", \"bbox\": [4, 396, 31, 405]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 396, 217, 405]}, {\"cell\": \"3\", \"bbox\": [468, 396, 475, 405]}, {\"cell\": \"PDLIM1\", \"bbox\": [4, 406, 33, 416]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 406, 193, 416]}, {\"cell\": \"3\", \"bbox\": [468, 406, 475, 416]}, {\"cell\": \"SLC25A4\", \"bbox\": [4, 416, 38, 426]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 416, 171, 426]}, {\"cell\": \"3\", \"bbox\": [468, 416, 475, 426]}, {\"cell\": \"TXNRD1\", \"bbox\": [4, 426, 39, 436]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 426, 174, 436]}, {\"cell\": \"3\", \"bbox\": [468, 426, 475, 436]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2729293_009_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
ActivityPrevalence (%)Odds Ratio (95% CI)Adjusted Odds Ratio (95% CI)*[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]≤ 200 cells/ml> 200 cells/ml
[EMPTY_CELL]8.9 (54)4.03 (2.03 – 8.00)7.90** (0.45 – 137)1.60 (0.47 – 5.44)
[EMPTY_CELL]6.3 (38)18.47 (4.47 – 76.3)9.14** (0.52 – 159)37.7** (2.29 – 620)
[EMPTY_CELL]10.2 (62)6.62 (3.15 – 13.91)3.38 (0.41 – 28)2.30 (0.57 – 9.18)
[EMPTY_CELL]13.2 (80)5.33 (2.86 – 9.91)3.33 (0.54 – 20)3.40 (0.72 – 16)
[EMPTY_CELL]16.4 (99)11.27 (5.42 – 23.45)3.78 (0.33 – 42)3.30 (1.09 – 10)
[EMPTY_CELL]20.8 (125)3.63 (2.34 – 5.63)1.15 (0.31 – 4.14)1.89 (0.79 – 4.54)
[EMPTY_CELL]21.5 (121)3.51 (2.25 – 5.47)1.59 (0.45 – 5.49)1.93 (0.87 – 4.31)
[EMPTY_CELL]20.1 (122)4.66 (2.89 – 7.53)0.87 (0.26 – 2.94)3.17 (1.07 – 9.37)
[EMPTY_CELL]25.2 (148)6.75 (4.19 – 10.86)4.36 (0.91 – 21)3.29 (1.32 – 8.20)
[EMPTY_CELL]28.1 (171)7.53 (4.73 – 11.98)8.41 (1.32 – 54)3.26 (1.41 – 7.52)
[EMPTY_CELL]32.6 (198)8.43 (5.38 – 13.21)3.97 (1.21 – 13)2.97 (1.37 – 6.43)
[EMPTY_CELL]39.6 (241)6.89 (4.72 – 10.06)5.12 (1.62 – 16.2)3.11 (1.59 – 6.10)
[EMPTY_CELL]42.4 (258)5.87 (4.11 – 8.37)2.10 (0.76 – 5.77)3.10 (1.62 – 5.93)
[EMPTY_CELL]46.6 (283)5.33 (3.81 – 7.47)2.56 (1.00 – 6.57)2.06 (1.16 – 3.68)
[EMPTY_CELL]71.9 (437)5.09 (3.61 – 7.19)2.69 (0.97 – 7.48)2.60 (1.37 – 4.96)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]78.7 (481)7.02 (4.73 – 10.4)18.71 (2.31 – 151)4.32 (2.20 – 8.51)
[EMPTY_CELL]49.3 (301)4.12 (2.98 – 5.69)1.77 (0.67 – 4.68)1.76 (1.03 – 3.00)
[EMPTY_CELL]72.3 (442)4.12 (2.94 – 5.78)0.85 (0.27 – 2.65)2.17 (1.20 – 3.93)
[EMPTY_CELL]81.4 (500)4.15 (2.82 – 6.12)2.48 (0.69 – 8.91)1.84 (0.96 – 3.51)
\", \"cells\": [{\"cell\": \"Activity\", \"bbox\": [4, 5, 37, 14]}, {\"cell\": \"Prevalence (%)\", \"bbox\": [133, 5, 192, 14]}, {\"cell\": \"Odds Ratio (95% CI)\", \"bbox\": [201, 5, 281, 14]}, {\"cell\": \"Adjusted Odds Ratio (95% CI)*\", \"bbox\": [291, 5, 412, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"≤ 200 cells/ml\", \"bbox\": [291, 16, 339, 38]}, {\"cell\": \"> 200 cells/ml\", \"bbox\": [422, 27, 471, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 49, 60, 59]}, {\"cell\": \"8.9 (54)\", \"bbox\": [133, 49, 161, 59]}, {\"cell\": \"4.03 (2.03 – 8.00)\", \"bbox\": [201, 49, 262, 59]}, {\"cell\": \"7.90** (0.45 – 137)\", \"bbox\": [291, 49, 357, 59]}, {\"cell\": \"1.60 (0.47 – 5.44)\", \"bbox\": [422, 49, 483, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 59, 58, 69]}, {\"cell\": \"6.3 (38)\", \"bbox\": [133, 59, 161, 69]}, {\"cell\": \"18.47 (4.47 – 76.3)\", \"bbox\": [201, 59, 266, 69]}, {\"cell\": \"9.14** (0.52 – 159)\", \"bbox\": [291, 59, 357, 69]}, {\"cell\": \"37.7** (2.29 – 620)\", \"bbox\": [422, 59, 494, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 69, 41, 79]}, {\"cell\": \"10.2 (62)\", \"bbox\": [133, 69, 165, 79]}, {\"cell\": \"6.62 (3.15 – 13.91)\", \"bbox\": [201, 69, 266, 79]}, {\"cell\": \"3.38 (0.41 – 28)\", \"bbox\": [291, 69, 346, 79]}, {\"cell\": \"2.30 (0.57 – 9.18)\", \"bbox\": [422, 69, 483, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 79, 69, 89]}, {\"cell\": \"13.2 (80)\", \"bbox\": [133, 79, 165, 89]}, {\"cell\": \"5.33 (2.86 – 9.91)\", \"bbox\": [201, 79, 262, 89]}, {\"cell\": \"3.33 (0.54 – 20)\", \"bbox\": [291, 79, 346, 89]}, {\"cell\": \"3.40 (0.72 – 16)\", \"bbox\": [422, 79, 477, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 90, 32, 100]}, {\"cell\": \"16.4 (99)\", \"bbox\": [133, 90, 165, 100]}, {\"cell\": \"11.27 (5.42 – 23.45)\", \"bbox\": [201, 90, 270, 100]}, {\"cell\": \"3.78 (0.33 – 42)\", \"bbox\": [291, 90, 346, 100]}, {\"cell\": \"3.30 (1.09 – 10)\", \"bbox\": [422, 90, 482, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 100, 69, 110]}, {\"cell\": \"20.8 (125)\", \"bbox\": [133, 100, 169, 110]}, {\"cell\": \"3.63 (2.34 – 5.63)\", \"bbox\": [201, 100, 262, 110]}, {\"cell\": \"1.15 (0.31 – 4.14)\", \"bbox\": [291, 100, 352, 110]}, {\"cell\": \"1.89 (0.79 – 4.54)\", \"bbox\": [422, 100, 483, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 110, 31, 120]}, {\"cell\": \"21.5 (121)\", \"bbox\": [133, 110, 169, 120]}, {\"cell\": \"3.51 (2.25 – 5.47)\", \"bbox\": [201, 110, 262, 120]}, {\"cell\": \"1.59 (0.45 – 5.49)\", \"bbox\": [291, 110, 352, 120]}, {\"cell\": \"1.93 (0.87 – 4.31)\", \"bbox\": [422, 110, 483, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 121, 26, 130]}, {\"cell\": \"20.1 (122)\", \"bbox\": [133, 121, 169, 130]}, {\"cell\": \"4.66 (2.89 – 7.53)\", \"bbox\": [201, 121, 262, 130]}, {\"cell\": \"0.87 (0.26 – 2.94)\", \"bbox\": [291, 121, 352, 130]}, {\"cell\": \"3.17 (1.07 – 9.37)\", \"bbox\": [422, 121, 489, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 131, 79, 141]}, {\"cell\": \"25.2 (148)\", \"bbox\": [133, 131, 169, 141]}, {\"cell\": \"6.75 (4.19 – 10.86)\", \"bbox\": [201, 131, 266, 141]}, {\"cell\": \"4.36 (0.91 – 21)\", \"bbox\": [291, 131, 346, 141]}, {\"cell\": \"3.29 (1.32 – 8.20)\", \"bbox\": [422, 131, 489, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 141, 33, 151]}, {\"cell\": \"28.1 (171)\", \"bbox\": [133, 141, 169, 151]}, {\"cell\": \"7.53 (4.73 – 11.98)\", \"bbox\": [201, 141, 266, 151]}, {\"cell\": \"8.41 (1.32 – 54)\", \"bbox\": [291, 141, 351, 151]}, {\"cell\": \"3.26 (1.41 – 7.52)\", \"bbox\": [422, 141, 489, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 151, 40, 161]}, {\"cell\": \"32.6 (198)\", \"bbox\": [133, 151, 169, 161]}, {\"cell\": \"8.43 (5.38 – 13.21)\", \"bbox\": [201, 151, 266, 161]}, {\"cell\": \"3.97 (1.21 – 13)\", \"bbox\": [291, 152, 351, 161]}, {\"cell\": \"2.97 (1.37 – 6.43)\", \"bbox\": [422, 152, 489, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 162, 68, 171]}, {\"cell\": \"39.6 (241)\", \"bbox\": [133, 162, 169, 171]}, {\"cell\": \"6.89 (4.72 – 10.06)\", \"bbox\": [201, 162, 266, 171]}, {\"cell\": \"5.12 (1.62 – 16.2)\", \"bbox\": [291, 162, 358, 171]}, {\"cell\": \"3.11 (1.59 – 6.10)\", \"bbox\": [422, 162, 489, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 172, 65, 182]}, {\"cell\": \"42.4 (258)\", \"bbox\": [133, 172, 169, 182]}, {\"cell\": \"5.87 (4.11 – 8.37)\", \"bbox\": [201, 172, 262, 182]}, {\"cell\": \"2.10 (0.76 – 5.77)\", \"bbox\": [291, 172, 352, 182]}, {\"cell\": \"3.10 (1.62 – 5.93)\", \"bbox\": [422, 172, 489, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 182, 53, 192]}, {\"cell\": \"46.6 (283)\", \"bbox\": [133, 182, 169, 192]}, {\"cell\": \"5.33 (3.81 – 7.47)\", \"bbox\": [201, 182, 262, 192]}, {\"cell\": \"2.56 (1.00 – 6.57)\", \"bbox\": [291, 182, 352, 192]}, {\"cell\": \"2.06 (1.16 – 3.68)\", \"bbox\": [422, 182, 489, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 192, 62, 202]}, {\"cell\": \"71.9 (437)\", \"bbox\": [133, 192, 169, 202]}, {\"cell\": \"5.09 (3.61 – 7.19)\", \"bbox\": [201, 192, 262, 202]}, {\"cell\": \"2.69 (0.97 – 7.48)\", \"bbox\": [291, 192, 352, 202]}, {\"cell\": \"2.60 (1.37 – 4.96)\", \"bbox\": [422, 193, 489, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 203, 91, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 213, 68, 223]}, {\"cell\": \"78.7 (481)\", \"bbox\": [133, 213, 169, 223]}, {\"cell\": \"7.02 (4.73 – 10.4)\", \"bbox\": [201, 213, 262, 223]}, {\"cell\": \"18.71 (2.31 – 151)\", \"bbox\": [291, 213, 360, 223]}, {\"cell\": \"4.32 (2.20 – 8.51)\", \"bbox\": [422, 213, 489, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 223, 123, 233]}, {\"cell\": \"49.3 (301)\", \"bbox\": [133, 223, 169, 233]}, {\"cell\": \"4.12 (2.98 – 5.69)\", \"bbox\": [201, 223, 262, 233]}, {\"cell\": \"1.77 (0.67 – 4.68)\", \"bbox\": [291, 223, 352, 233]}, {\"cell\": \"1.76 (1.03 – 3.00)\", \"bbox\": [422, 223, 489, 233]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 233, 72, 243]}, {\"cell\": \"72.3 (442)\", \"bbox\": [133, 233, 169, 243]}, {\"cell\": \"4.12 (2.94 – 5.78)\", \"bbox\": [201, 233, 262, 243]}, {\"cell\": \"0.85 (0.27 – 2.65)\", \"bbox\": [291, 233, 352, 243]}, {\"cell\": \"2.17 (1.20 – 3.93)\", \"bbox\": [422, 234, 489, 243]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 244, 71, 253]}, {\"cell\": \"81.4 (500)\", \"bbox\": [133, 244, 169, 253]}, {\"cell\": \"4.15 (2.82 – 6.12)\", \"bbox\": [201, 244, 262, 253]}, {\"cell\": \"2.48 (0.69 – 8.91)\", \"bbox\": [291, 244, 352, 253]}, {\"cell\": \"1.84 (0.96 – 3.51)\", \"bbox\": [422, 244, 483, 253]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC519026_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
GeneNameGenBankAccessiongDNALength (bp)cDNALength (bp)ORFLength (bp)AA NumbersMW (Da)Isoelectric Point (pI)
BpWUSMF4203542931127590029932518[EMPTY_CELL]
BpWOX1MF42035528611728121240345811[EMPTY_CELL]
BpWOX2MF42035632411439109536441653[EMPTY_CELL]
BpWOX3MF4203571925108872324027653[EMPTY_CELL]
BpWOX4MF4203581463110574424727949[EMPTY_CELL]
BpWOX5MF42035992780562420724082[EMPTY_CELL]
BpWOX7MF4203603055111985828531261[EMPTY_CELL]
BpWOX8MF42036127561639126041945929[EMPTY_CELL]
BpWOX9MF4203622920139781627131020[EMPTY_CELL]
BpWOX10MF4203632393125678025929625[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"GeneName\", \"bbox\": [12, 10, 39, 32]}, {\"cell\": \"GenBankAccession\", \"bbox\": [54, 10, 97, 32]}, {\"cell\": \"gDNALength (bp)\", \"bbox\": [106, 5, 137, 38]}, {\"cell\": \"cDNALength (bp)\", \"bbox\": [154, 5, 185, 38]}, {\"cell\": \"ORFLength (bp)\", \"bbox\": [202, 5, 233, 38]}, {\"cell\": \"AA Numbers\", \"bbox\": [247, 10, 287, 32]}, {\"cell\": \"MW (Da)\", \"bbox\": [304, 10, 324, 32]}, {\"cell\": \"Isoelectric Point (pI)\", \"bbox\": [347, 10, 391, 32]}, {\"cell\": \"BpWUS\", \"bbox\": [6, 43, 39, 54]}, {\"cell\": \"MF420354\", \"bbox\": [55, 43, 96, 54]}, {\"cell\": \"2931\", \"bbox\": [112, 43, 132, 54]}, {\"cell\": \"1275\", \"bbox\": [160, 43, 180, 54]}, {\"cell\": \"900\", \"bbox\": [210, 43, 226, 54]}, {\"cell\": \"299\", \"bbox\": [258, 43, 274, 54]}, {\"cell\": \"32518\", \"bbox\": [302, 43, 326, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 43, 378, 54]}, {\"cell\": \"BpWOX1\", \"bbox\": [6, 54, 45, 65]}, {\"cell\": \"MF420355\", \"bbox\": [55, 54, 96, 65]}, {\"cell\": \"2861\", \"bbox\": [112, 54, 132, 65]}, {\"cell\": \"1728\", \"bbox\": [160, 54, 180, 65]}, {\"cell\": \"1212\", \"bbox\": [208, 54, 228, 65]}, {\"cell\": \"403\", \"bbox\": [258, 54, 274, 65]}, {\"cell\": \"45811\", \"bbox\": [302, 54, 326, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 54, 378, 65]}, {\"cell\": \"BpWOX2\", \"bbox\": [6, 65, 45, 76]}, {\"cell\": \"MF420356\", \"bbox\": [55, 65, 96, 76]}, {\"cell\": \"3241\", \"bbox\": [112, 65, 132, 76]}, {\"cell\": \"1439\", \"bbox\": [160, 65, 180, 76]}, {\"cell\": \"1095\", \"bbox\": [208, 65, 228, 76]}, {\"cell\": \"364\", \"bbox\": [258, 65, 274, 76]}, {\"cell\": \"41653\", \"bbox\": [302, 65, 326, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 65, 378, 76]}, {\"cell\": \"BpWOX3\", \"bbox\": [6, 76, 45, 87]}, {\"cell\": \"MF420357\", \"bbox\": [55, 76, 96, 87]}, {\"cell\": \"1925\", \"bbox\": [112, 76, 132, 87]}, {\"cell\": \"1088\", \"bbox\": [160, 76, 180, 87]}, {\"cell\": \"723\", \"bbox\": [210, 76, 226, 87]}, {\"cell\": \"240\", \"bbox\": [258, 76, 274, 87]}, {\"cell\": \"27653\", \"bbox\": [302, 76, 326, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [363, 76, 376, 87]}, {\"cell\": \"BpWOX4\", \"bbox\": [6, 87, 45, 98]}, {\"cell\": \"MF420358\", \"bbox\": [55, 87, 96, 98]}, {\"cell\": \"1463\", \"bbox\": [112, 87, 132, 98]}, {\"cell\": \"1105\", \"bbox\": [160, 87, 180, 98]}, {\"cell\": \"744\", \"bbox\": [210, 87, 226, 98]}, {\"cell\": \"247\", \"bbox\": [258, 87, 274, 98]}, {\"cell\": \"27949\", \"bbox\": [302, 87, 326, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 87, 378, 98]}, {\"cell\": \"BpWOX5\", \"bbox\": [6, 98, 45, 109]}, {\"cell\": \"MF420359\", \"bbox\": [55, 98, 96, 109]}, {\"cell\": \"927\", \"bbox\": [114, 98, 129, 109]}, {\"cell\": \"805\", \"bbox\": [162, 98, 177, 109]}, {\"cell\": \"624\", \"bbox\": [210, 98, 226, 109]}, {\"cell\": \"207\", \"bbox\": [258, 98, 274, 109]}, {\"cell\": \"24082\", \"bbox\": [302, 98, 326, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 98, 378, 109]}, {\"cell\": \"BpWOX7\", \"bbox\": [6, 109, 45, 120]}, {\"cell\": \"MF420360\", \"bbox\": [55, 109, 96, 120]}, {\"cell\": \"3055\", \"bbox\": [112, 109, 132, 120]}, {\"cell\": \"1119\", \"bbox\": [160, 109, 180, 120]}, {\"cell\": \"858\", \"bbox\": [210, 109, 226, 120]}, {\"cell\": \"285\", \"bbox\": [258, 109, 274, 120]}, {\"cell\": \"31261\", \"bbox\": [302, 109, 326, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [363, 109, 376, 120]}, {\"cell\": \"BpWOX8\", \"bbox\": [6, 120, 45, 131]}, {\"cell\": \"MF420361\", \"bbox\": [55, 120, 96, 131]}, {\"cell\": \"2756\", \"bbox\": [112, 120, 132, 131]}, {\"cell\": \"1639\", \"bbox\": [160, 120, 180, 131]}, {\"cell\": \"1260\", \"bbox\": [208, 120, 228, 131]}, {\"cell\": \"419\", \"bbox\": [258, 120, 274, 131]}, {\"cell\": \"45929\", \"bbox\": [302, 120, 326, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 120, 378, 131]}, {\"cell\": \"BpWOX9\", \"bbox\": [6, 131, 45, 142]}, {\"cell\": \"MF420362\", \"bbox\": [55, 131, 96, 142]}, {\"cell\": \"2920\", \"bbox\": [112, 131, 132, 142]}, {\"cell\": \"1397\", \"bbox\": [160, 131, 180, 142]}, {\"cell\": \"816\", \"bbox\": [210, 131, 226, 142]}, {\"cell\": \"271\", \"bbox\": [258, 131, 274, 142]}, {\"cell\": \"31020\", \"bbox\": [302, 131, 326, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 131, 378, 142]}, {\"cell\": \"BpWOX10\", \"bbox\": [6, 142, 49, 153]}, {\"cell\": \"MF420363\", \"bbox\": [55, 142, 96, 153]}, {\"cell\": \"2393\", \"bbox\": [112, 142, 132, 153]}, {\"cell\": \"1256\", \"bbox\": [160, 142, 180, 153]}, {\"cell\": \"780\", \"bbox\": [210, 142, 226, 153]}, {\"cell\": \"259\", \"bbox\": [258, 142, 274, 153]}, {\"cell\": \"29625\", \"bbox\": [302, 142, 326, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 142, 378, 153]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5578171_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Scientific nameCultural ImportanceUse DiversityUse Value
Solanum tuberosum L.1.150.58[EMPTY_CELL]
Allium victorialis L.1.781.20[EMPTY_CELL]
Rubus idaeus L.1.120.52[EMPTY_CELL]
Pinus kochiana Klotzsch ex K. Koch2.482.57[EMPTY_CELL]
Raphanus sativus L. var. major1.000.00[EMPTY_CELL]
Cucumis sativus L.1.080.58[EMPTY_CELL]
Allium sativum L.1.000.08[EMPTY_CELL]
Betula litwinowii Doluch.2.282.79[EMPTY_CELL]
Vaccinium myrtillus L.1.260.85[EMPTY_CELL]
Daucus carota L. ssp. sativus1.000.00[EMPTY_CELL]
Agasyllis latifolia (Bieb.) Boiss.1.441.61[EMPTY_CELL]
Anethum graveolens L.1.000.00[EMPTY_CELL]
Urtica dioica L.1.271.37[EMPTY_CELL]
Coriandrum sativum L.1.000.00[EMPTY_CELL]
Petroselinum crispum (Mill.) Fuss.1.000.24[EMPTY_CELL]
Brassica oleracea L.1.000.00[EMPTY_CELL]
Chaerophyllum caucasicum Schischk.1.261.20[EMPTY_CELL]
Sorbus caucasigena Kom.1.281.55[EMPTY_CELL]
Viburnum lantana L.1.441.23[EMPTY_CELL]
Beta vulgaris L.1.060.21[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Scientific name\", \"bbox\": [1, 4, 51, 13]}, {\"cell\": \"Cultural Importance\", \"bbox\": [193, 4, 258, 13]}, {\"cell\": \"Use Diversity\", \"bbox\": [333, 4, 376, 13]}, {\"cell\": \"Use Value\", \"bbox\": [451, 4, 484, 13]}, {\"cell\": \"Solanum tuberosum L.\", \"bbox\": [1, 17, 72, 27]}, {\"cell\": \"1.15\", \"bbox\": [218, 17, 233, 27]}, {\"cell\": \"0.58\", \"bbox\": [347, 17, 362, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [460, 17, 475, 27]}, {\"cell\": \"Allium victorialis L.\", \"bbox\": [1, 31, 60, 41]}, {\"cell\": \"1.78\", \"bbox\": [218, 31, 233, 41]}, {\"cell\": \"1.20\", \"bbox\": [347, 31, 362, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [460, 31, 475, 41]}, {\"cell\": \"Rubus idaeus L.\", \"bbox\": [1, 45, 50, 55]}, {\"cell\": \"1.12\", \"bbox\": [218, 45, 233, 55]}, {\"cell\": \"0.52\", \"bbox\": [347, 45, 362, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [460, 45, 475, 55]}, {\"cell\": \"Pinus kochiana Klotzsch ex K. Koch\", \"bbox\": [1, 59, 113, 69]}, {\"cell\": \"2.48\", \"bbox\": [218, 59, 233, 69]}, {\"cell\": \"2.57\", \"bbox\": [347, 59, 362, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [460, 59, 475, 69]}, {\"cell\": \"Raphanus sativus L. var. major\", \"bbox\": [1, 73, 97, 83]}, {\"cell\": \"1.00\", \"bbox\": [218, 73, 233, 83]}, {\"cell\": \"0.00\", \"bbox\": [347, 73, 362, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [460, 73, 475, 83]}, {\"cell\": \"Cucumis sativus L.\", \"bbox\": [1, 87, 59, 97]}, {\"cell\": \"1.08\", \"bbox\": [218, 87, 233, 97]}, {\"cell\": \"0.58\", \"bbox\": [347, 87, 362, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [460, 87, 475, 97]}, {\"cell\": \"Allium sativum L.\", \"bbox\": [1, 101, 56, 111]}, {\"cell\": \"1.00\", \"bbox\": [218, 101, 233, 111]}, {\"cell\": \"0.08\", \"bbox\": [347, 101, 362, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [460, 101, 475, 111]}, {\"cell\": \"Betula litwinowii Doluch.\", \"bbox\": [1, 115, 80, 125]}, {\"cell\": \"2.28\", \"bbox\": [218, 115, 233, 125]}, {\"cell\": \"2.79\", \"bbox\": [347, 115, 362, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [460, 115, 475, 125]}, {\"cell\": \"Vaccinium myrtillus L.\", \"bbox\": [1, 129, 70, 139]}, {\"cell\": \"1.26\", \"bbox\": [218, 129, 233, 139]}, {\"cell\": \"0.85\", \"bbox\": [347, 129, 362, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [460, 129, 475, 139]}, {\"cell\": \"Daucus carota L. ssp. sativus\", \"bbox\": [1, 143, 92, 153]}, {\"cell\": \"1.00\", \"bbox\": [218, 143, 233, 153]}, {\"cell\": \"0.00\", \"bbox\": [347, 143, 362, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [460, 143, 475, 153]}, {\"cell\": \"Agasyllis latifolia (Bieb.) Boiss.\", \"bbox\": [1, 157, 94, 167]}, {\"cell\": \"1.44\", \"bbox\": [218, 157, 233, 167]}, {\"cell\": \"1.61\", \"bbox\": [347, 157, 362, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [460, 157, 475, 167]}, {\"cell\": \"Anethum graveolens L.\", \"bbox\": [1, 171, 73, 181]}, {\"cell\": \"1.00\", \"bbox\": [218, 171, 233, 181]}, {\"cell\": \"0.00\", \"bbox\": [347, 171, 362, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [460, 171, 475, 181]}, {\"cell\": \"Urtica dioica L.\", \"bbox\": [1, 185, 49, 195]}, {\"cell\": \"1.27\", \"bbox\": [218, 185, 233, 195]}, {\"cell\": \"1.37\", \"bbox\": [347, 185, 362, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [460, 185, 475, 195]}, {\"cell\": \"Coriandrum sativum L.\", \"bbox\": [1, 199, 73, 209]}, {\"cell\": \"1.00\", \"bbox\": [218, 199, 233, 209]}, {\"cell\": \"0.00\", \"bbox\": [347, 199, 362, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [460, 199, 475, 209]}, {\"cell\": \"Petroselinum crispum (Mill.) Fuss.\", \"bbox\": [1, 213, 105, 223]}, {\"cell\": \"1.00\", \"bbox\": [218, 213, 233, 223]}, {\"cell\": \"0.24\", \"bbox\": [347, 213, 362, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [460, 213, 475, 223]}, {\"cell\": \"Brassica oleracea L.\", \"bbox\": [1, 227, 62, 237]}, {\"cell\": \"1.00\", \"bbox\": [218, 227, 233, 237]}, {\"cell\": \"0.00\", \"bbox\": [347, 227, 362, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [460, 227, 475, 237]}, {\"cell\": \"Chaerophyllum caucasicum Schischk.\", \"bbox\": [1, 241, 118, 251]}, {\"cell\": \"1.26\", \"bbox\": [218, 241, 233, 251]}, {\"cell\": \"1.20\", \"bbox\": [347, 241, 362, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [460, 241, 475, 251]}, {\"cell\": \"Sorbus caucasigena Kom.\", \"bbox\": [1, 255, 82, 265]}, {\"cell\": \"1.28\", \"bbox\": [218, 255, 233, 265]}, {\"cell\": \"1.55\", \"bbox\": [347, 255, 362, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [460, 255, 475, 265]}, {\"cell\": \"Viburnum lantana L.\", \"bbox\": [1, 269, 66, 279]}, {\"cell\": \"1.44\", \"bbox\": [218, 269, 233, 279]}, {\"cell\": \"1.23\", \"bbox\": [347, 269, 362, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [460, 269, 475, 279]}, {\"cell\": \"Beta vulgaris L.\", \"bbox\": [1, 283, 49, 293]}, {\"cell\": \"1.06\", \"bbox\": [218, 283, 233, 293]}, {\"cell\": \"0.21\", \"bbox\": [347, 283, 362, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [460, 283, 475, 293]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5034577_011_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Data typeSource
Rainfall[EMPTY_CELL]
Temperature[EMPTY_CELL]
Altitude[EMPTY_CELL]
Demographics[EMPTY_CELL]
NDVI[EMPTY_CELL]
EVI[EMPTY_CELL]
Political Stability[EMPTY_CELL]
Southern Oscillation Index[EMPTY_CELL]
Sea Surf. Temp. Anomaly[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Data type\", \"bbox\": [1, 4, 37, 13]}, {\"cell\": \"Source\", \"bbox\": [121, 4, 147, 13]}, {\"cell\": \"Rainfall\", \"bbox\": [1, 17, 25, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 17, 349, 27]}, {\"cell\": \"Temperature\", \"bbox\": [1, 30, 43, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 30, 407, 40]}, {\"cell\": \"Altitude\", \"bbox\": [1, 43, 28, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 43, 484, 53]}, {\"cell\": \"Demographics\", \"bbox\": [1, 56, 49, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 56, 366, 66]}, {\"cell\": \"NDVI\", \"bbox\": [1, 70, 18, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 70, 407, 79]}, {\"cell\": \"EVI\", \"bbox\": [1, 83, 12, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 83, 407, 92]}, {\"cell\": \"Political Stability\", \"bbox\": [1, 96, 54, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 96, 425, 105]}, {\"cell\": \"Southern Oscillation Index\", \"bbox\": [1, 109, 87, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 109, 362, 119]}, {\"cell\": \"Sea Surf. Temp. Anomaly\", \"bbox\": [1, 122, 82, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 122, 356, 132]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3534444_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]AgeGender (male)DMHypertensionMAPAVMG (pre–op)CPB timePWV valuePWV cut–off
Pre–operative
LV function0.18-0.19-0.11-0.38**[EMPTY_CELL]-0.13-0.04-0.12-0.03
NYHA class0.09-0.050.18-0.11[EMPTY_CELL]-0.14-0.080.36**0.50**
BNP0.27-0.35*-0.19-0.07[EMPTY_CELL]0.10-0.000.210.34*
Immediate post-operative
BNP (3 h post-CPB)0.22-0.34*-0.23-0.13[EMPTY_CELL]-0.14-0.150.090.26
BNP (18 h post-CPB)0.24-0.26-0.29*-0.01[EMPTY_CELL]-0.09-0.040.240.32*
Inotropes0.24-0.24-0.11-0.15[EMPTY_CELL]-0.08-0.140.35*0.18
Arrhythmia0.240.13-0.140.11[EMPTY_CELL]0.04-0.070.06-0.12
Post–operative
LV function0.070.100.23-0.12[EMPTY_CELL]-0.1-0.08-0.14-0.06
NYHA class0.03-0.240.28*0.15[EMPTY_CELL]-0.150.150.200.51**
Leg edema-0.02-0.130.020.05[EMPTY_CELL]-0.210.030.070.38**
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Age\", \"bbox\": [78, 4, 94, 13]}, {\"cell\": \"Gender (male)\", \"bbox\": [104, 4, 155, 13]}, {\"cell\": \"DM\", \"bbox\": [169, 4, 183, 13]}, {\"cell\": \"Hypertension\", \"bbox\": [196, 4, 245, 13]}, {\"cell\": \"MAP\", \"bbox\": [256, 4, 274, 13]}, {\"cell\": \"AVMG (pre–op)\", \"bbox\": [286, 4, 341, 13]}, {\"cell\": \"CPB time\", \"bbox\": [350, 4, 384, 13]}, {\"cell\": \"PWV value\", \"bbox\": [392, 4, 431, 13]}, {\"cell\": \"PWV cut–off\", \"bbox\": [440, 4, 484, 13]}, {\"cell\": \"Pre–operative\", \"bbox\": [1, 17, 51, 27]}, {\"cell\": \"LV function\", \"bbox\": [1, 31, 39, 41]}, {\"cell\": \"0.18\", \"bbox\": [78, 31, 93, 41]}, {\"cell\": \"-0.19\", \"bbox\": [120, 31, 140, 41]}, {\"cell\": \"-0.11\", \"bbox\": [166, 31, 186, 41]}, {\"cell\": \"-0.38**\", \"bbox\": [207, 29, 234, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 31, 275, 41]}, {\"cell\": \"-0.13\", \"bbox\": [304, 31, 323, 41]}, {\"cell\": \"-0.04\", \"bbox\": [357, 31, 377, 41]}, {\"cell\": \"-0.12\", \"bbox\": [402, 31, 421, 41]}, {\"cell\": \"-0.03\", \"bbox\": [452, 31, 472, 41]}, {\"cell\": \"NYHA class\", \"bbox\": [1, 45, 38, 55]}, {\"cell\": \"0.09\", \"bbox\": [78, 45, 93, 55]}, {\"cell\": \"-0.05\", \"bbox\": [120, 45, 140, 55]}, {\"cell\": \"0.18\", \"bbox\": [168, 45, 183, 55]}, {\"cell\": \"-0.11\", \"bbox\": [211, 45, 230, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 45, 273, 55]}, {\"cell\": \"-0.14\", \"bbox\": [304, 45, 323, 55]}, {\"cell\": \"-0.08\", \"bbox\": [357, 45, 377, 55]}, {\"cell\": \"0.36**\", \"bbox\": [401, 43, 422, 55]}, {\"cell\": \"0.50**\", \"bbox\": [451, 43, 473, 55]}, {\"cell\": \"BNP\", \"bbox\": [1, 59, 16, 69]}, {\"cell\": \"0.27\", \"bbox\": [78, 59, 93, 69]}, {\"cell\": \"-0.35*\", \"bbox\": [118, 57, 142, 69]}, {\"cell\": \"-0.19\", \"bbox\": [166, 59, 186, 69]}, {\"cell\": \"-0.07\", \"bbox\": [211, 59, 230, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [253, 57, 277, 69]}, {\"cell\": \"0.10\", \"bbox\": [306, 59, 321, 69]}, {\"cell\": \"-0.00\", \"bbox\": [357, 59, 377, 69]}, {\"cell\": \"0.21\", \"bbox\": [404, 59, 419, 69]}, {\"cell\": \"0.34*\", \"bbox\": [453, 57, 472, 69]}, {\"cell\": \"Immediate post-operative\", \"bbox\": [1, 73, 92, 83]}, {\"cell\": \"BNP (3 h post-CPB)\", \"bbox\": [1, 87, 64, 97]}, {\"cell\": \"0.22\", \"bbox\": [78, 87, 93, 97]}, {\"cell\": \"-0.34*\", \"bbox\": [118, 85, 142, 97]}, {\"cell\": \"-0.23\", \"bbox\": [166, 87, 186, 97]}, {\"cell\": \"-0.13\", \"bbox\": [211, 87, 230, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 87, 275, 97]}, {\"cell\": \"-0.14\", \"bbox\": [304, 87, 323, 97]}, {\"cell\": \"-0.15\", \"bbox\": [357, 87, 377, 97]}, {\"cell\": \"0.09\", \"bbox\": [404, 87, 419, 97]}, {\"cell\": \"0.26\", \"bbox\": [455, 87, 469, 97]}, {\"cell\": \"BNP (18 h post-CPB)\", \"bbox\": [1, 101, 67, 111]}, {\"cell\": \"0.24\", \"bbox\": [78, 101, 93, 111]}, {\"cell\": \"-0.26\", \"bbox\": [120, 101, 140, 111]}, {\"cell\": \"-0.29*\", \"bbox\": [164, 99, 188, 111]}, {\"cell\": \"-0.01\", \"bbox\": [211, 101, 230, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 101, 273, 111]}, {\"cell\": \"-0.09\", \"bbox\": [304, 101, 323, 111]}, {\"cell\": \"-0.04\", \"bbox\": [357, 101, 377, 111]}, {\"cell\": \"0.24\", \"bbox\": [404, 101, 419, 111]}, {\"cell\": \"0.32*\", \"bbox\": [453, 99, 472, 111]}, {\"cell\": \"Inotropes\", \"bbox\": [1, 115, 33, 125]}, {\"cell\": \"0.24\", \"bbox\": [78, 115, 93, 125]}, {\"cell\": \"-0.24\", \"bbox\": [120, 115, 140, 125]}, {\"cell\": \"-0.11\", \"bbox\": [166, 115, 186, 125]}, {\"cell\": \"-0.15\", \"bbox\": [211, 115, 230, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 115, 275, 125]}, {\"cell\": \"-0.08\", \"bbox\": [304, 115, 323, 125]}, {\"cell\": \"-0.14\", \"bbox\": [357, 115, 377, 125]}, {\"cell\": \"0.35*\", \"bbox\": [402, 113, 421, 125]}, {\"cell\": \"0.18\", \"bbox\": [455, 115, 469, 125]}, {\"cell\": \"Arrhythmia\", \"bbox\": [1, 129, 38, 139]}, {\"cell\": \"0.24\", \"bbox\": [78, 129, 93, 139]}, {\"cell\": \"0.13\", \"bbox\": [122, 129, 137, 139]}, {\"cell\": \"-0.14\", \"bbox\": [166, 129, 186, 139]}, {\"cell\": \"0.11\", \"bbox\": [213, 129, 228, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 129, 275, 139]}, {\"cell\": \"0.04\", \"bbox\": [306, 129, 321, 139]}, {\"cell\": \"-0.07\", \"bbox\": [357, 129, 377, 139]}, {\"cell\": \"0.06\", \"bbox\": [404, 129, 419, 139]}, {\"cell\": \"-0.12\", \"bbox\": [452, 129, 472, 139]}, {\"cell\": \"Post–operative\", \"bbox\": [1, 143, 54, 153]}, {\"cell\": \"LV function\", \"bbox\": [1, 157, 39, 167]}, {\"cell\": \"0.07\", \"bbox\": [78, 157, 93, 167]}, {\"cell\": \"0.10\", \"bbox\": [122, 157, 137, 167]}, {\"cell\": \"0.23\", \"bbox\": [168, 157, 183, 167]}, {\"cell\": \"-0.12\", \"bbox\": [211, 157, 230, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 157, 275, 167]}, {\"cell\": \"-0.1\", \"bbox\": [306, 157, 321, 167]}, {\"cell\": \"-0.08\", \"bbox\": [357, 157, 377, 167]}, {\"cell\": \"-0.14\", \"bbox\": [402, 157, 421, 167]}, {\"cell\": \"-0.06\", \"bbox\": [452, 157, 472, 167]}, {\"cell\": \"NYHA class\", \"bbox\": [1, 171, 38, 181]}, {\"cell\": \"0.03\", \"bbox\": [78, 171, 93, 181]}, {\"cell\": \"-0.24\", \"bbox\": [120, 171, 140, 181]}, {\"cell\": \"0.28*\", \"bbox\": [166, 169, 185, 181]}, {\"cell\": \"0.15\", \"bbox\": [213, 171, 228, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 171, 275, 181]}, {\"cell\": \"-0.15\", \"bbox\": [304, 171, 323, 181]}, {\"cell\": \"0.15\", \"bbox\": [359, 171, 374, 181]}, {\"cell\": \"0.20\", \"bbox\": [404, 171, 419, 181]}, {\"cell\": \"0.51**\", \"bbox\": [451, 169, 473, 181]}, {\"cell\": \"Leg edema\", \"bbox\": [1, 185, 39, 195]}, {\"cell\": \"-0.02\", \"bbox\": [76, 185, 96, 195]}, {\"cell\": \"-0.13\", \"bbox\": [120, 185, 140, 195]}, {\"cell\": \"0.02\", \"bbox\": [168, 185, 183, 195]}, {\"cell\": \"0.05\", \"bbox\": [213, 185, 228, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 185, 273, 195]}, {\"cell\": \"-0.21\", \"bbox\": [304, 185, 323, 195]}, {\"cell\": \"0.03\", \"bbox\": [359, 185, 374, 195]}, {\"cell\": \"0.07\", \"bbox\": [404, 185, 419, 195]}, {\"cell\": \"0.38**\", \"bbox\": [451, 183, 473, 195]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4075977_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
ContextBritish Columbia (BC)1Ontario (ON)2
Public health structure[EMPTY_CELL]Public health is delivered by thirty-six individual public health unitseach with a board of health responsible for local programmes and service delivery within the larger health care system.
Governance[EMPTY_CELL]Provincial government and municipal governments.
Funding[EMPTY_CELL]Provincial and municipal funding.
Provincial core policy[EMPTY_CELL]Ontario public health standards with one foundational standard and 14 standards implementation of which is guided by protocols and guidelines.
Provincial public health agencies[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]Ontario agency for health protection and promotion (later renamed Public Health Ontario).
\", \"cells\": [{\"cell\": \"Context\", \"bbox\": [1, 4, 30, 13]}, {\"cell\": \"British Columbia (BC)1\", \"bbox\": [59, 2, 138, 13]}, {\"cell\": \"Ontario (ON)2\", \"bbox\": [251, 2, 301, 13]}, {\"cell\": \"Public health structure\", \"bbox\": [1, 17, 44, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [59, 17, 247, 45]}, {\"cell\": \"Public health is delivered by thirty-six individual public health unitseach with a board of health responsible for local programmes and service delivery within the larger health care system.\", \"bbox\": [251, 17, 471, 45]}, {\"cell\": \"Governance\", \"bbox\": [0, 49, 41, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [59, 49, 235, 59]}, {\"cell\": \"Provincial government and municipal governments.\", \"bbox\": [251, 49, 420, 59]}, {\"cell\": \"Funding\", \"bbox\": [0, 63, 29, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [59, 63, 187, 73]}, {\"cell\": \"Provincial and municipal funding.\", \"bbox\": [251, 63, 361, 73]}, {\"cell\": \"Provincial core policy\", \"bbox\": [0, 77, 49, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [59, 77, 235, 105]}, {\"cell\": \"Ontario public health standards with one foundational standard and 14 standards implementation of which is guided by protocols and guidelines.\", \"bbox\": [251, 77, 455, 105]}, {\"cell\": \"Provincial public health agencies\", \"bbox\": [0, 109, 55, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [59, 132, 233, 151]}, {\"cell\": \"Ontario agency for health protection and promotion (later renamed Public Health Ontario).\", \"bbox\": [251, 132, 423, 151]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3936858_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
BacteriaMIC (μg/mL)
β5kβ10kPIP aAMP aCIP aGM aTET a
Gram(−) bacteria[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
P. aeruginosa ATCC 278539[EMPTY_CELL]<4<20.250.5–
P. aeruginosa BMP-Pa001<4.5[EMPTY_CELL]>128>3221–
P. aeruginosa BMP-Pa002<4.5[EMPTY_CELL]16>32>88–
P. aeruginosa BMP-Pa003<4.5[EMPTY_CELL]>128>32>832–
P. aeruginosa BMP-Pa004<4.5[EMPTY_CELL]16>320.251–
P. aeruginosa BMP-Pa005<4.5[EMPTY_CELL]>128>320.258–
Gram(+) bacteria[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
S. aureus ATCC 2592318[EMPTY_CELL]––0.250.250.5
S. aureus BMP-Sa001<4.5[EMPTY_CELL]––10.25>16
S. aureus BMP-Sa00239[EMPTY_CELL]––>8>161
S. aureus BMP-Sa00339[EMPTY_CELL]––>8>16>16
S. aureus BMP-Sa00418[EMPTY_CELL]––>8>16>16
S. aureus BMP-Sa00539[EMPTY_CELL]––>8>16>16
\", \"cells\": [{\"cell\": \"Bacteria\", \"bbox\": [52, 14, 93, 26]}, {\"cell\": \"MIC (μg/mL)\", \"bbox\": [266, 2, 332, 19]}, {\"cell\": \"β5k\", \"bbox\": [155, 19, 174, 35]}, {\"cell\": \"β10k\", \"bbox\": [198, 19, 223, 35]}, {\"cell\": \"PIP a\", \"bbox\": [244, 21, 269, 34]}, {\"cell\": \"AMP a\", \"bbox\": [283, 21, 315, 34]}, {\"cell\": \"CIP a\", \"bbox\": [332, 21, 358, 34]}, {\"cell\": \"GM a\", \"bbox\": [378, 21, 405, 34]}, {\"cell\": \"TET a\", \"bbox\": [418, 21, 449, 34]}, {\"cell\": \"Gram(−) bacteria\", \"bbox\": [30, 34, 115, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"P. aeruginosa ATCC 27853\", \"bbox\": [11, 53, 134, 65]}, {\"cell\": \"9\", \"bbox\": [161, 53, 168, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [207, 53, 214, 65]}, {\"cell\": \"<4\", \"bbox\": [250, 53, 263, 65]}, {\"cell\": \"<2\", \"bbox\": [292, 53, 306, 65]}, {\"cell\": \"0.25\", \"bbox\": [335, 53, 356, 65]}, {\"cell\": \"0.5\", \"bbox\": [383, 53, 399, 65]}, {\"cell\": \"–\", \"bbox\": [430, 53, 437, 65]}, {\"cell\": \"P. aeruginosa BMP-Pa001\", \"bbox\": [13, 68, 132, 80]}, {\"cell\": \"<4.5\", \"bbox\": [153, 68, 175, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 68, 222, 80]}, {\"cell\": \">128\", \"bbox\": [244, 68, 269, 80]}, {\"cell\": \">32\", \"bbox\": [289, 68, 309, 80]}, {\"cell\": \"2\", \"bbox\": [342, 68, 349, 80]}, {\"cell\": \"1\", \"bbox\": [388, 68, 395, 80]}, {\"cell\": \"–\", \"bbox\": [430, 68, 437, 80]}, {\"cell\": \"P. aeruginosa BMP-Pa002\", \"bbox\": [13, 83, 132, 95]}, {\"cell\": \"<4.5\", \"bbox\": [153, 83, 175, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 83, 222, 95]}, {\"cell\": \"16\", \"bbox\": [250, 83, 263, 95]}, {\"cell\": \">32\", \"bbox\": [289, 83, 309, 95]}, {\"cell\": \">8\", \"bbox\": [338, 83, 352, 95]}, {\"cell\": \"8\", \"bbox\": [388, 83, 395, 95]}, {\"cell\": \"–\", \"bbox\": [430, 83, 437, 95]}, {\"cell\": \"P. aeruginosa BMP-Pa003\", \"bbox\": [13, 98, 132, 110]}, {\"cell\": \"<4.5\", \"bbox\": [153, 98, 175, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 98, 222, 110]}, {\"cell\": \">128\", \"bbox\": [244, 98, 269, 110]}, {\"cell\": \">32\", \"bbox\": [289, 98, 309, 110]}, {\"cell\": \">8\", \"bbox\": [338, 98, 352, 110]}, {\"cell\": \"32\", \"bbox\": [385, 98, 398, 110]}, {\"cell\": \"–\", \"bbox\": [430, 98, 437, 110]}, {\"cell\": \"P. aeruginosa BMP-Pa004\", \"bbox\": [13, 113, 132, 125]}, {\"cell\": \"<4.5\", \"bbox\": [153, 113, 175, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 113, 222, 125]}, {\"cell\": \"16\", \"bbox\": [250, 113, 263, 125]}, {\"cell\": \">32\", \"bbox\": [289, 113, 309, 125]}, {\"cell\": \"0.25\", \"bbox\": [335, 113, 356, 125]}, {\"cell\": \"1\", \"bbox\": [388, 113, 395, 125]}, {\"cell\": \"–\", \"bbox\": [430, 113, 437, 125]}, {\"cell\": \"P. aeruginosa BMP-Pa005\", \"bbox\": [13, 128, 132, 140]}, {\"cell\": \"<4.5\", \"bbox\": [153, 128, 175, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 128, 222, 140]}, {\"cell\": \">128\", \"bbox\": [244, 128, 269, 140]}, {\"cell\": \">32\", \"bbox\": [289, 128, 309, 140]}, {\"cell\": \"0.25\", \"bbox\": [335, 128, 356, 140]}, {\"cell\": \"8\", \"bbox\": [388, 128, 395, 140]}, {\"cell\": \"–\", \"bbox\": [430, 128, 437, 140]}, {\"cell\": \"Gram(+) bacteria\", \"bbox\": [30, 144, 115, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"S. aureus ATCC 25923\", \"bbox\": [21, 158, 125, 170]}, {\"cell\": \"18\", \"bbox\": [158, 158, 171, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [207, 158, 214, 170]}, {\"cell\": \"–\", \"bbox\": [253, 158, 260, 170]}, {\"cell\": \"–\", \"bbox\": [295, 158, 303, 170]}, {\"cell\": \"0.25\", \"bbox\": [335, 158, 356, 170]}, {\"cell\": \"0.25\", \"bbox\": [381, 158, 402, 170]}, {\"cell\": \"0.5\", \"bbox\": [426, 158, 441, 170]}, {\"cell\": \"S. aureus BMP-Sa001\", \"bbox\": [23, 173, 123, 185]}, {\"cell\": \"<4.5\", \"bbox\": [153, 173, 175, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 173, 222, 185]}, {\"cell\": \"–\", \"bbox\": [253, 173, 260, 185]}, {\"cell\": \"–\", \"bbox\": [295, 173, 303, 185]}, {\"cell\": \"1\", \"bbox\": [341, 173, 349, 185]}, {\"cell\": \"0.25\", \"bbox\": [381, 173, 402, 185]}, {\"cell\": \">16\", \"bbox\": [424, 173, 443, 185]}, {\"cell\": \"S. aureus BMP-Sa002\", \"bbox\": [23, 188, 123, 200]}, {\"cell\": \"39\", \"bbox\": [158, 188, 171, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [204, 188, 217, 200]}, {\"cell\": \"–\", \"bbox\": [253, 188, 260, 200]}, {\"cell\": \"–\", \"bbox\": [295, 188, 303, 200]}, {\"cell\": \">8\", \"bbox\": [338, 188, 352, 200]}, {\"cell\": \">16\", \"bbox\": [382, 188, 401, 200]}, {\"cell\": \"1\", \"bbox\": [430, 188, 437, 200]}, {\"cell\": \"S. aureus BMP-Sa003\", \"bbox\": [23, 203, 123, 215]}, {\"cell\": \"39\", \"bbox\": [158, 203, 171, 215]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [204, 203, 217, 215]}, {\"cell\": \"–\", \"bbox\": [253, 203, 260, 215]}, {\"cell\": \"–\", \"bbox\": [295, 203, 303, 215]}, {\"cell\": \">8\", \"bbox\": [338, 203, 352, 215]}, {\"cell\": \">16\", \"bbox\": [382, 203, 401, 215]}, {\"cell\": \">16\", \"bbox\": [424, 203, 443, 215]}, {\"cell\": \"S. aureus BMP-Sa004\", \"bbox\": [23, 218, 123, 230]}, {\"cell\": \"18\", \"bbox\": [158, 218, 171, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [207, 218, 214, 230]}, {\"cell\": \"–\", \"bbox\": [253, 218, 260, 230]}, {\"cell\": \"–\", \"bbox\": [295, 218, 303, 230]}, {\"cell\": \">8\", \"bbox\": [338, 218, 352, 230]}, {\"cell\": \">16\", \"bbox\": [382, 218, 401, 230]}, {\"cell\": \">16\", \"bbox\": [424, 218, 443, 230]}, {\"cell\": \"S. aureus BMP-Sa005\", \"bbox\": [23, 233, 123, 245]}, {\"cell\": \"39\", \"bbox\": [158, 233, 171, 245]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [204, 233, 217, 245]}, {\"cell\": \"–\", \"bbox\": [253, 233, 260, 245]}, {\"cell\": \"–\", \"bbox\": [295, 233, 303, 245]}, {\"cell\": \">8\", \"bbox\": [338, 233, 352, 245]}, {\"cell\": \">16\", \"bbox\": [382, 233, 401, 245]}, {\"cell\": \">16\", \"bbox\": [424, 233, 443, 245]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4425063_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VaccinesRural n = 3276Urban n = 1894Total N = 5170
n%n%N%
BCG
No19886162033[EMPTY_CELL]50
Yes128839127467[EMPTY_CELL]50
DPT 1
No22046781643[EMPTY_CELL]58
Yes107233107857[EMPTY_CELL]42
OPV 1
No12093754429[EMPTY_CELL]34
Yes206763135071[EMPTY_CELL]66
DPT 2
No24487599853[EMPTY_CELL]67
Yes8282589647[EMPTY_CELL]33
OPV 2
No15754875540[EMPTY_CELL]45
Yes170152113960[EMPTY_CELL]55
DPT 3
No274484121064[EMPTY_CELL]76
Yes5321668436[EMPTY_CELL]24
OPV 3
No18885887246[EMPTY_CELL]53
Yes138842102254[EMPTY_CELL]47
Measles
No23587299653[EMPTY_CELL]65
Yes9182889847[EMPTY_CELL]35
Full immunisation
No298091125366[EMPTY_CELL]82
Yes296964134[EMPTY_CELL]18
\", \"cells\": [{\"cell\": \"Vaccines\", \"bbox\": [1, 2, 27, 12]}, {\"cell\": \"Rural n = 3276\", \"bbox\": [38, 2, 82, 12]}, {\"cell\": \"Urban n = 1894\", \"bbox\": [104, 2, 150, 12]}, {\"cell\": \"Total N = 5170\", \"bbox\": [181, 2, 225, 12]}, {\"cell\": \"n\", \"bbox\": [45, 14, 50, 21]}, {\"cell\": \"%\", \"bbox\": [73, 14, 82, 21]}, {\"cell\": \"n\", \"bbox\": [112, 14, 118, 21]}, {\"cell\": \"%\", \"bbox\": [139, 14, 148, 21]}, {\"cell\": \"N\", \"bbox\": [180, 14, 187, 21]}, {\"cell\": \"%\", \"bbox\": [218, 14, 227, 21]}, {\"cell\": \"BCG\", \"bbox\": [1, 26, 15, 33]}, {\"cell\": \"No\", \"bbox\": [1, 35, 11, 45]}, {\"cell\": \"1988\", \"bbox\": [39, 37, 56, 43]}, {\"cell\": \"61\", \"bbox\": [73, 35, 82, 45]}, {\"cell\": \"620\", \"bbox\": [109, 35, 122, 45]}, {\"cell\": \"33\", \"bbox\": [139, 37, 148, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 35, 192, 45]}, {\"cell\": \"50\", \"bbox\": [218, 37, 227, 43]}, {\"cell\": \"Yes\", \"bbox\": [1, 48, 12, 54]}, {\"cell\": \"1288\", \"bbox\": [39, 48, 56, 54]}, {\"cell\": \"39\", \"bbox\": [73, 48, 82, 54]}, {\"cell\": \"1274\", \"bbox\": [107, 46, 124, 56]}, {\"cell\": \"67\", \"bbox\": [139, 46, 148, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 46, 192, 56]}, {\"cell\": \"50\", \"bbox\": [218, 48, 227, 54]}, {\"cell\": \"DPT 1\", \"bbox\": [1, 57, 19, 67]}, {\"cell\": \"No\", \"bbox\": [1, 67, 11, 77]}, {\"cell\": \"2204\", \"bbox\": [39, 70, 56, 76]}, {\"cell\": \"67\", \"bbox\": [73, 67, 82, 77]}, {\"cell\": \"816\", \"bbox\": [109, 67, 122, 77]}, {\"cell\": \"43\", \"bbox\": [139, 70, 148, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 70, 192, 76]}, {\"cell\": \"58\", \"bbox\": [218, 70, 227, 76]}, {\"cell\": \"Yes\", \"bbox\": [1, 81, 12, 87]}, {\"cell\": \"1072\", \"bbox\": [39, 78, 56, 88]}, {\"cell\": \"33\", \"bbox\": [73, 81, 82, 87]}, {\"cell\": \"1078\", \"bbox\": [107, 78, 124, 88]}, {\"cell\": \"57\", \"bbox\": [139, 78, 148, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 81, 192, 87]}, {\"cell\": \"42\", \"bbox\": [218, 81, 227, 87]}, {\"cell\": \"OPV 1\", \"bbox\": [1, 89, 20, 99]}, {\"cell\": \"No\", \"bbox\": [1, 100, 11, 110]}, {\"cell\": \"1209\", \"bbox\": [39, 102, 56, 109]}, {\"cell\": \"37\", \"bbox\": [73, 100, 82, 110]}, {\"cell\": \"544\", \"bbox\": [109, 102, 122, 109]}, {\"cell\": \"29\", \"bbox\": [139, 102, 148, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 100, 192, 110]}, {\"cell\": \"34\", \"bbox\": [218, 102, 227, 109]}, {\"cell\": \"Yes\", \"bbox\": [1, 113, 12, 120]}, {\"cell\": \"2067\", \"bbox\": [39, 111, 56, 121]}, {\"cell\": \"63\", \"bbox\": [73, 111, 82, 121]}, {\"cell\": \"1350\", \"bbox\": [107, 113, 124, 120]}, {\"cell\": \"71\", \"bbox\": [139, 111, 148, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 111, 192, 121]}, {\"cell\": \"66\", \"bbox\": [218, 111, 227, 121]}, {\"cell\": \"DPT 2\", \"bbox\": [1, 122, 19, 132]}, {\"cell\": \"No\", \"bbox\": [1, 133, 11, 143]}, {\"cell\": \"2448\", \"bbox\": [39, 135, 56, 142]}, {\"cell\": \"75\", \"bbox\": [73, 133, 82, 143]}, {\"cell\": \"998\", \"bbox\": [109, 135, 122, 142]}, {\"cell\": \"53\", \"bbox\": [139, 135, 148, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 133, 192, 143]}, {\"cell\": \"67\", \"bbox\": [218, 133, 227, 143]}, {\"cell\": \"Yes\", \"bbox\": [1, 146, 12, 153]}, {\"cell\": \"828\", \"bbox\": [41, 146, 54, 153]}, {\"cell\": \"25\", \"bbox\": [73, 146, 82, 153]}, {\"cell\": \"896\", \"bbox\": [109, 144, 122, 154]}, {\"cell\": \"47\", \"bbox\": [139, 144, 148, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 144, 192, 154]}, {\"cell\": \"33\", \"bbox\": [218, 146, 227, 153]}, {\"cell\": \"OPV 2\", \"bbox\": [1, 155, 20, 165]}, {\"cell\": \"No\", \"bbox\": [1, 166, 11, 176]}, {\"cell\": \"1575\", \"bbox\": [39, 166, 56, 176]}, {\"cell\": \"48\", \"bbox\": [73, 168, 82, 174]}, {\"cell\": \"755\", \"bbox\": [109, 166, 122, 176]}, {\"cell\": \"40\", \"bbox\": [139, 168, 148, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 168, 192, 174]}, {\"cell\": \"45\", \"bbox\": [218, 168, 227, 174]}, {\"cell\": \"Yes\", \"bbox\": [1, 179, 12, 185]}, {\"cell\": \"1701\", \"bbox\": [39, 177, 56, 187]}, {\"cell\": \"52\", \"bbox\": [73, 179, 82, 185]}, {\"cell\": \"1139\", \"bbox\": [107, 179, 124, 185]}, {\"cell\": \"60\", \"bbox\": [139, 177, 148, 187]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 179, 192, 185]}, {\"cell\": \"55\", \"bbox\": [218, 179, 227, 185]}, {\"cell\": \"DPT 3\", \"bbox\": [1, 189, 19, 196]}, {\"cell\": \"No\", \"bbox\": [1, 198, 11, 208]}, {\"cell\": \"2744\", \"bbox\": [39, 198, 56, 208]}, {\"cell\": \"84\", \"bbox\": [73, 201, 82, 207]}, {\"cell\": \"1210\", \"bbox\": [107, 201, 124, 207]}, {\"cell\": \"64\", \"bbox\": [139, 198, 148, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 201, 192, 207]}, {\"cell\": \"76\", \"bbox\": [218, 198, 227, 208]}, {\"cell\": \"Yes\", \"bbox\": [1, 212, 12, 218]}, {\"cell\": \"532\", \"bbox\": [41, 212, 54, 218]}, {\"cell\": \"16\", \"bbox\": [73, 209, 82, 219]}, {\"cell\": \"684\", \"bbox\": [109, 209, 122, 219]}, {\"cell\": \"36\", \"bbox\": [139, 209, 148, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 209, 192, 219]}, {\"cell\": \"24\", \"bbox\": [218, 212, 227, 218]}, {\"cell\": \"OPV 3\", \"bbox\": [1, 222, 20, 229]}, {\"cell\": \"No\", \"bbox\": [1, 231, 11, 241]}, {\"cell\": \"1888\", \"bbox\": [39, 233, 56, 240]}, {\"cell\": \"58\", \"bbox\": [73, 233, 82, 240]}, {\"cell\": \"872\", \"bbox\": [109, 231, 122, 241]}, {\"cell\": \"46\", \"bbox\": [139, 231, 148, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 231, 192, 241]}, {\"cell\": \"53\", \"bbox\": [218, 233, 227, 240]}, {\"cell\": \"Yes\", \"bbox\": [1, 244, 12, 251]}, {\"cell\": \"1388\", \"bbox\": [39, 244, 56, 251]}, {\"cell\": \"42\", \"bbox\": [73, 244, 82, 251]}, {\"cell\": \"1022\", \"bbox\": [107, 244, 124, 251]}, {\"cell\": \"54\", \"bbox\": [139, 244, 148, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 244, 192, 251]}, {\"cell\": \"47\", \"bbox\": [218, 242, 227, 252]}, {\"cell\": \"Measles\", \"bbox\": [1, 253, 26, 263]}, {\"cell\": \"No\", \"bbox\": [1, 264, 11, 274]}, {\"cell\": \"2358\", \"bbox\": [39, 266, 56, 273]}, {\"cell\": \"72\", \"bbox\": [73, 264, 82, 274]}, {\"cell\": \"996\", \"bbox\": [109, 264, 122, 274]}, {\"cell\": \"53\", \"bbox\": [139, 266, 148, 273]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 266, 192, 273]}, {\"cell\": \"65\", \"bbox\": [218, 264, 227, 274]}, {\"cell\": \"Yes\", \"bbox\": [1, 277, 12, 284]}, {\"cell\": \"918\", \"bbox\": [41, 277, 54, 284]}, {\"cell\": \"28\", \"bbox\": [73, 277, 82, 284]}, {\"cell\": \"898\", \"bbox\": [109, 277, 122, 284]}, {\"cell\": \"47\", \"bbox\": [139, 275, 148, 285]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 275, 192, 285]}, {\"cell\": \"35\", \"bbox\": [218, 277, 227, 284]}, {\"cell\": \"Full immunisation\", \"bbox\": [1, 286, 55, 296]}, {\"cell\": \"No\", \"bbox\": [1, 297, 11, 307]}, {\"cell\": \"2980\", \"bbox\": [39, 299, 56, 305]}, {\"cell\": \"91\", \"bbox\": [73, 299, 82, 305]}, {\"cell\": \"1253\", \"bbox\": [107, 299, 124, 305]}, {\"cell\": \"66\", \"bbox\": [139, 297, 148, 307]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 299, 192, 305]}, {\"cell\": \"82\", \"bbox\": [218, 299, 227, 305]}, {\"cell\": \"Yes\", \"bbox\": [1, 310, 12, 316]}, {\"cell\": \"296\", \"bbox\": [41, 308, 54, 318]}, {\"cell\": \"9\", \"bbox\": [75, 310, 81, 316]}, {\"cell\": \"641\", \"bbox\": [109, 308, 122, 318]}, {\"cell\": \"34\", \"bbox\": [139, 310, 148, 316]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [177, 308, 190, 318]}, {\"cell\": \"18\", \"bbox\": [218, 310, 227, 316]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4565435_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Outcome VariablePredictor VariableR2
Hinders or StimulatesNoiseFlow of Motor VehiclesBicycle Paths/Lanes/RoadsGreeneryUgly or BeautifulCourse of the Route
y-Intercept (p-Value)Regression Coefficient: Standardized Beta (p-Value)
6.72 (0.000)−0.10 (0.005)−0.11 (0.001)0.09 (0.000)0.17 (0.000)0.37 (0.000)−0.13 (0.000)[EMPTY_CELL]
6.47 (0.000)-−0.17 (0.000)0.08 (0.001)0.17 (0.000)0.38 (0.000)−0.14 (0.000)[EMPTY_CELL]
6.39 (0.000)−0.17 (0.000)-0.09 (0.000) 0.18 (0.000)0.38 (0.000)−0.13 (0.000)[EMPTY_CELL]
7.28 (0.000)−0.11 (0.002)−0.12 (0.000)0.10 (0.000)-0.49 (0.000)−0.14 (0.000)[EMPTY_CELL]
8.36 (0.000)−0.12 (0.001)−0.12 (0.000)0.06 (0.011)0.42 (0.000)-−0.14 (0.000)[EMPTY_CELL]
7.03 (0.000)-−0.19 (0.000)0.09 (0.000)-0.50 (0.000)−0.15 (0.000)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Outcome Variable\", \"bbox\": [5, 5, 43, 26]}, {\"cell\": \"Predictor Variable\", \"bbox\": [208, 10, 286, 20]}, {\"cell\": \"R2\", \"bbox\": [445, 38, 457, 48]}, {\"cell\": \"Hinders or Stimulates\", \"bbox\": [1, 32, 47, 53]}, {\"cell\": \"Noise\", \"bbox\": [69, 38, 94, 48]}, {\"cell\": \"Flow of Motor Vehicles\", \"bbox\": [119, 27, 155, 59]}, {\"cell\": \"Bicycle Paths/Lanes/Roads\", \"bbox\": [179, 32, 258, 53]}, {\"cell\": \"Greenery\", \"bbox\": [273, 38, 314, 48]}, {\"cell\": \"Ugly or Beautiful\", \"bbox\": [329, 32, 368, 53]}, {\"cell\": \"Course of the Route\", \"bbox\": [386, 32, 427, 53]}, {\"cell\": \"y-Intercept (p-Value)\", \"bbox\": [1, 60, 47, 81]}, {\"cell\": \"Regression Coefficient: Standardized Beta (p-Value)\", \"bbox\": [141, 65, 353, 75]}, {\"cell\": \"6.72 (0.000)\", \"bbox\": [9, 82, 39, 103]}, {\"cell\": \"−0.10 (0.005)\", \"bbox\": [67, 79, 96, 103]}, {\"cell\": \"−0.11 (0.001)\", \"bbox\": [122, 79, 152, 103]}, {\"cell\": \"0.09 (0.000)\", \"bbox\": [204, 82, 234, 103]}, {\"cell\": \"0.17 (0.000)\", \"bbox\": [279, 82, 308, 103]}, {\"cell\": \"0.37 (0.000)\", \"bbox\": [334, 82, 363, 103]}, {\"cell\": \"−0.13 (0.000)\", \"bbox\": [392, 79, 421, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [439, 87, 463, 97]}, {\"cell\": \"6.47 (0.000)\", \"bbox\": [9, 104, 39, 125]}, {\"cell\": \"-\", \"bbox\": [79, 109, 84, 120]}, {\"cell\": \"−0.17 (0.000)\", \"bbox\": [122, 101, 152, 125]}, {\"cell\": \"0.08 (0.001)\", \"bbox\": [204, 104, 234, 125]}, {\"cell\": \"0.17 (0.000)\", \"bbox\": [279, 104, 308, 125]}, {\"cell\": \"0.38 (0.000)\", \"bbox\": [334, 104, 363, 125]}, {\"cell\": \"−0.14 (0.000)\", \"bbox\": [392, 101, 421, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [439, 109, 463, 120]}, {\"cell\": \"6.39 (0.000)\", \"bbox\": [9, 126, 39, 147]}, {\"cell\": \"−0.17 (0.000)\", \"bbox\": [67, 123, 96, 147]}, {\"cell\": \"-\", \"bbox\": [135, 131, 140, 142]}, {\"cell\": \"0.09 (0.000) \", \"bbox\": [204, 126, 234, 147]}, {\"cell\": \"0.18 (0.000)\", \"bbox\": [279, 126, 308, 147]}, {\"cell\": \"0.38 (0.000)\", \"bbox\": [334, 126, 363, 147]}, {\"cell\": \"−0.13 (0.000)\", \"bbox\": [392, 123, 421, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [439, 131, 463, 142]}, {\"cell\": \"7.28 (0.000)\", \"bbox\": [9, 148, 39, 169]}, {\"cell\": \"−0.11 (0.002)\", \"bbox\": [67, 145, 96, 169]}, {\"cell\": \"−0.12 (0.000)\", \"bbox\": [122, 145, 152, 169]}, {\"cell\": \"0.10 (0.000)\", \"bbox\": [204, 148, 234, 169]}, {\"cell\": \"-\", \"bbox\": [291, 153, 296, 164]}, {\"cell\": \"0.49 (0.000)\", \"bbox\": [334, 148, 363, 169]}, {\"cell\": \"−0.14 (0.000)\", \"bbox\": [392, 145, 421, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [439, 153, 463, 164]}, {\"cell\": \"8.36 (0.000)\", \"bbox\": [9, 170, 39, 191]}, {\"cell\": \"−0.12 (0.001)\", \"bbox\": [67, 167, 96, 191]}, {\"cell\": \"−0.12 (0.000)\", \"bbox\": [122, 167, 152, 191]}, {\"cell\": \"0.06 (0.011)\", \"bbox\": [204, 170, 234, 191]}, {\"cell\": \"0.42 (0.000)\", \"bbox\": [279, 170, 308, 191]}, {\"cell\": \"-\", \"bbox\": [346, 175, 351, 186]}, {\"cell\": \"−0.14 (0.000)\", \"bbox\": [392, 167, 421, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [439, 175, 463, 186]}, {\"cell\": \"7.03 (0.000)\", \"bbox\": [9, 192, 39, 213]}, {\"cell\": \"-\", \"bbox\": [79, 197, 84, 208]}, {\"cell\": \"−0.19 (0.000)\", \"bbox\": [122, 189, 152, 213]}, {\"cell\": \"0.09 (0.000)\", \"bbox\": [204, 192, 234, 213]}, {\"cell\": \"-\", \"bbox\": [291, 197, 296, 208]}, {\"cell\": \"0.50 (0.000)\", \"bbox\": [334, 192, 363, 213]}, {\"cell\": \"−0.15 (0.000)\", \"bbox\": [392, 189, 421, 213]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [439, 197, 463, 208]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4143862_013_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
AttributeProportion (95% Confidence Interval)
[EMPTY_CELL]Overall(n = 12,955)Current Smokers*(n = 2,262)Non-current Smokers(n = 10,693)
Environmental Tobacco Smoke
Have one or more parents who smoke53.5 (52.6, 54.5)67.5 (65.0, 70.0)[EMPTY_CELL]
Exposed to smoke in their home84.6 (83.8, 85.5)93.9 (92.9, 94.9)[EMPTY_CELL]
Around others who smoke in places outside home91.2 (90.6, 91.8)95.6 (94.7, 96.6)[EMPTY_CELL]
Attitude towards second-hand smoking
Think smoke from others is harmful to them70.4 (69.0, 71.7)47.8 (44.4, 51.2)[EMPTY_CELL]
Think smoking should be banned from public places81.7 (80.6, 82.8)44.8 (42.3, 47.3)[EMPTY_CELL]
Media and Advertising
Own an object with a cigarette brand logo16.5 (15.3, 17.6)35.0 (32.7, 37.3)[EMPTY_CELL]
Offered free cigarettes by a tobacco company representative16.1 (15.1, 17.2)26.0 (23.6, 28.5)[EMPTY_CELL]
Saw anti-smoking ads in newspapers/magazines48.2 (46.7, 49.7)42.6 (40.3, 45.0)[EMPTY_CELL]
Saw pro-cigarette ads in newspapers/magazines62.4 (61.1, 63.7)63.3 (60.9, 65.6)[EMPTY_CELL]
School
Had been taught about the dangers of smoking46.3 (44.5, 48.2)36.9 (33.9, 39.8)[EMPTY_CELL]
Had discussed reasons why people their age smoke42.3 (40.2, 44.4)37.8 (33.8, 41.8)[EMPTY_CELL]
Had been taught the effects of tobacco use46.9 (45.0, 48.7)40.3 (37.7, 42.9)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Attribute\", \"bbox\": [4, 4, 37, 14]}, {\"cell\": \"Proportion (95% Confidence Interval)\", \"bbox\": [311, 4, 439, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Overall(n = 12,955)\", \"bbox\": [264, 27, 307, 46]}, {\"cell\": \"Current Smokers*(n = 2,262)\", \"bbox\": [331, 27, 395, 46]}, {\"cell\": \"Non-current Smokers(n = 10,693)\", \"bbox\": [414, 27, 490, 46]}, {\"cell\": \"Environmental Tobacco Smoke\", \"bbox\": [4, 58, 128, 68]}, {\"cell\": \"Have one or more parents who smoke\", \"bbox\": [4, 80, 137, 90]}, {\"cell\": \"53.5 (52.6, 54.5)\", \"bbox\": [258, 80, 314, 90]}, {\"cell\": \"67.5 (65.0, 70.0)\", \"bbox\": [335, 80, 391, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [424, 80, 480, 90]}, {\"cell\": \"Exposed to smoke in their home\", \"bbox\": [4, 91, 116, 100]}, {\"cell\": \"84.6 (83.8, 85.5)\", \"bbox\": [258, 91, 314, 100]}, {\"cell\": \"93.9 (92.9, 94.9)\", \"bbox\": [335, 91, 391, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [424, 91, 480, 100]}, {\"cell\": \"Around others who smoke in places outside home\", \"bbox\": [4, 101, 176, 111]}, {\"cell\": \"91.2 (90.6, 91.8)\", \"bbox\": [258, 101, 314, 111]}, {\"cell\": \"95.6 (94.7, 96.6)\", \"bbox\": [335, 101, 391, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [424, 101, 480, 111]}, {\"cell\": \"Attitude towards second-hand smoking\", \"bbox\": [4, 123, 158, 133]}, {\"cell\": \"Think smoke from others is harmful to them\", \"bbox\": [4, 145, 156, 155]}, {\"cell\": \"70.4 (69.0, 71.7)\", \"bbox\": [258, 145, 314, 155]}, {\"cell\": \"47.8 (44.4, 51.2)\", \"bbox\": [335, 145, 391, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [424, 145, 480, 155]}, {\"cell\": \"Think smoking should be banned from public places\", \"bbox\": [4, 156, 179, 165]}, {\"cell\": \"81.7 (80.6, 82.8)\", \"bbox\": [258, 156, 314, 165]}, {\"cell\": \"44.8 (42.3, 47.3)\", \"bbox\": [335, 156, 391, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [424, 156, 480, 165]}, {\"cell\": \"Media and Advertising\", \"bbox\": [4, 178, 93, 188]}, {\"cell\": \"Own an object with a cigarette brand logo\", \"bbox\": [4, 200, 149, 210]}, {\"cell\": \"16.5 (15.3, 17.6)\", \"bbox\": [258, 200, 314, 210]}, {\"cell\": \"35.0 (32.7, 37.3)\", \"bbox\": [335, 200, 391, 210]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [424, 200, 480, 210]}, {\"cell\": \"Offered free cigarettes by a tobacco company representative\", \"bbox\": [4, 210, 210, 220]}, {\"cell\": \"16.1 (15.1, 17.2)\", \"bbox\": [258, 210, 314, 220]}, {\"cell\": \"26.0 (23.6, 28.5)\", \"bbox\": [335, 210, 391, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [424, 210, 480, 220]}, {\"cell\": \"Saw anti-smoking ads in newspapers/magazines\", \"bbox\": [4, 221, 163, 230]}, {\"cell\": \"48.2 (46.7, 49.7)\", \"bbox\": [258, 221, 314, 230]}, {\"cell\": \"42.6 (40.3, 45.0)\", \"bbox\": [335, 221, 391, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [424, 221, 480, 230]}, {\"cell\": \"Saw pro-cigarette ads in newspapers/magazines\", \"bbox\": [4, 231, 164, 241]}, {\"cell\": \"62.4 (61.1, 63.7)\", \"bbox\": [258, 231, 314, 241]}, {\"cell\": \"63.3 (60.9, 65.6)\", \"bbox\": [335, 231, 391, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [424, 231, 480, 241]}, {\"cell\": \"School\", \"bbox\": [4, 253, 32, 263]}, {\"cell\": \"Had been taught about the dangers of smoking\", \"bbox\": [4, 275, 163, 285]}, {\"cell\": \"46.3 (44.5, 48.2)\", \"bbox\": [258, 275, 314, 285]}, {\"cell\": \"36.9 (33.9, 39.8)\", \"bbox\": [335, 275, 391, 285]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [424, 275, 480, 285]}, {\"cell\": \"Had discussed reasons why people their age smoke\", \"bbox\": [4, 286, 178, 295]}, {\"cell\": \"42.3 (40.2, 44.4)\", \"bbox\": [258, 286, 314, 295]}, {\"cell\": \"37.8 (33.8, 41.8)\", \"bbox\": [335, 286, 391, 295]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [424, 286, 480, 295]}, {\"cell\": \"Had been taught the effects of tobacco use\", \"bbox\": [4, 296, 150, 306]}, {\"cell\": \"46.9 (45.0, 48.7)\", \"bbox\": [258, 296, 314, 306]}, {\"cell\": \"40.3 (37.7, 42.9)\", \"bbox\": [335, 296, 391, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [424, 296, 480, 306]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2435118_005_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
statisticsProMatePPI-PRED 1st patchPPI-PRED best patchPatchDock 1st modelPatchDock best model of 10ClusPro (DOT) 1st modelClusPro (DOT) best model of 10CEPDiscoTope (-7.7)
sensitivity0.0910.153[EMPTY_CELL]0.3000.4250.2580.4530.3100.416
1-specificity0.0830.161[EMPTY_CELL]0.1350.1140.0790.0670.2230.214
PPV0.1010.083[EMPTY_CELL]0.1750.2620.2350.3900.1100.155
accuracy0.8410.780[EMPTY_CELL]0.8160.8460.8630.8920.7390.754
AUC0.5040.496[EMPTY_CELL]0.5830.6560.5890.6930.5440.601
P-value0.271.0[EMPTY_CELL]9.0E-23<1.0E-507.9E-34<1.0E-504.3E-064.1E-25
Statistics averaged over epitopes
sensitivity0.09 ± 0.170.15 ± 0.24[EMPTY_CELL]0.27 ± 0.240.42 ± 0.290.25 ± 0.310.46 ± 0.280.34 ± 0.280.43 ± 0.31
1-specificity0.08 ± 0.030.16 ± 0.07[EMPTY_CELL]0.15 ± 0.060.13 ± 0.070.10 ± 0.070.08 ± 0.050.28 ± 0.200.22 ± 0.15
PPV0.11 ± 0.200.10 ± 0.17[EMPTY_CELL]0.18 ± 0.190.30 ± 0.250.25 ± 0.330.41 ± 0.290.11 ± 0.080.18 ± 0.12
accuracy0.83 ± 0.050.77 ± 0.07[EMPTY_CELL]0.80 ± 0.080.83 ± 0.090.84 ± 0.090.88 ± 0.070.69 ± 0.170.74 ± 0.12
AUC0.51 ± 0.090.50 ± 0.13[EMPTY_CELL]0.56 ± 0.110.64 ± 0.170.58 ± 0.170.69 ± 0.150.53 ± 0.080.60 ± 0.13
\", \"cells\": [{\"cell\": \"statistics\", \"bbox\": [4, 5, 35, 13]}, {\"cell\": \"ProMate\", \"bbox\": [54, 5, 85, 13]}, {\"cell\": \"PPI-PRED 1st patch\", \"bbox\": [94, 5, 129, 20]}, {\"cell\": \"PPI-PRED best patch\", \"bbox\": [139, 5, 175, 20]}, {\"cell\": \"PatchDock 1st model\", \"bbox\": [183, 5, 221, 20]}, {\"cell\": \"PatchDock best model of 10\", \"bbox\": [230, 5, 283, 20]}, {\"cell\": \"ClusPro (DOT) 1st model\", \"bbox\": [293, 5, 345, 20]}, {\"cell\": \"ClusPro (DOT) best model of 10\", \"bbox\": [354, 5, 410, 20]}, {\"cell\": \"CEP\", \"bbox\": [426, 5, 442, 13]}, {\"cell\": \"DiscoTope (-7.7)\", \"bbox\": [459, 5, 496, 20]}, {\"cell\": \"sensitivity\", \"bbox\": [4, 33, 39, 41]}, {\"cell\": \"0.091\", \"bbox\": [61, 33, 78, 39]}, {\"cell\": \"0.153\", \"bbox\": [103, 33, 121, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [148, 33, 165, 39]}, {\"cell\": \"0.300\", \"bbox\": [193, 33, 211, 39]}, {\"cell\": \"0.425\", \"bbox\": [248, 33, 266, 39]}, {\"cell\": \"0.258\", \"bbox\": [310, 33, 328, 39]}, {\"cell\": \"0.453\", \"bbox\": [373, 33, 391, 39]}, {\"cell\": \"0.310\", \"bbox\": [425, 33, 443, 39]}, {\"cell\": \"0.416\", \"bbox\": [469, 33, 487, 39]}, {\"cell\": \"1-specificity\", \"bbox\": [4, 42, 45, 50]}, {\"cell\": \"0.083\", \"bbox\": [61, 42, 78, 48]}, {\"cell\": \"0.161\", \"bbox\": [103, 42, 121, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [148, 42, 165, 48]}, {\"cell\": \"0.135\", \"bbox\": [193, 42, 211, 48]}, {\"cell\": \"0.114\", \"bbox\": [248, 42, 266, 48]}, {\"cell\": \"0.079\", \"bbox\": [310, 42, 328, 48]}, {\"cell\": \"0.067\", \"bbox\": [373, 42, 391, 48]}, {\"cell\": \"0.223\", \"bbox\": [425, 42, 443, 48]}, {\"cell\": \"0.214\", \"bbox\": [469, 42, 487, 48]}, {\"cell\": \"PPV\", \"bbox\": [4, 51, 21, 59]}, {\"cell\": \"0.101\", \"bbox\": [61, 51, 78, 57]}, {\"cell\": \"0.083\", \"bbox\": [103, 51, 121, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [148, 51, 165, 57]}, {\"cell\": \"0.175\", \"bbox\": [193, 51, 211, 57]}, {\"cell\": \"0.262\", \"bbox\": [248, 51, 266, 57]}, {\"cell\": \"0.235\", \"bbox\": [310, 51, 328, 57]}, {\"cell\": \"0.390\", \"bbox\": [373, 51, 391, 57]}, {\"cell\": \"0.110\", \"bbox\": [425, 51, 443, 57]}, {\"cell\": \"0.155\", \"bbox\": [469, 51, 487, 57]}, {\"cell\": \"accuracy\", \"bbox\": [4, 60, 35, 68]}, {\"cell\": \"0.841\", \"bbox\": [61, 60, 78, 66]}, {\"cell\": \"0.780\", \"bbox\": [103, 60, 121, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [148, 60, 165, 66]}, {\"cell\": \"0.816\", \"bbox\": [193, 60, 211, 66]}, {\"cell\": \"0.846\", \"bbox\": [248, 60, 266, 66]}, {\"cell\": \"0.863\", \"bbox\": [310, 60, 328, 66]}, {\"cell\": \"0.892\", \"bbox\": [373, 60, 391, 66]}, {\"cell\": \"0.739\", \"bbox\": [425, 60, 443, 66]}, {\"cell\": \"0.754\", \"bbox\": [469, 60, 487, 66]}, {\"cell\": \"AUC\", \"bbox\": [4, 69, 23, 77]}, {\"cell\": \"0.504\", \"bbox\": [61, 69, 78, 75]}, {\"cell\": \"0.496\", \"bbox\": [103, 69, 121, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [148, 69, 165, 75]}, {\"cell\": \"0.583\", \"bbox\": [193, 69, 211, 75]}, {\"cell\": \"0.656\", \"bbox\": [248, 69, 266, 75]}, {\"cell\": \"0.589\", \"bbox\": [310, 69, 328, 75]}, {\"cell\": \"0.693\", \"bbox\": [373, 69, 391, 75]}, {\"cell\": \"0.544\", \"bbox\": [425, 69, 443, 75]}, {\"cell\": \"0.601\", \"bbox\": [469, 69, 487, 75]}, {\"cell\": \"P-value\", \"bbox\": [4, 90, 30, 98]}, {\"cell\": \"0.27\", \"bbox\": [62, 90, 76, 96]}, {\"cell\": \"1.0\", \"bbox\": [107, 90, 117, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [145, 90, 168, 96]}, {\"cell\": \"9.0E-23\", \"bbox\": [191, 90, 214, 96]}, {\"cell\": \"<1.0E-50\", \"bbox\": [243, 90, 271, 96]}, {\"cell\": \"7.9E-34\", \"bbox\": [308, 90, 331, 96]}, {\"cell\": \"<1.0E-50\", \"bbox\": [368, 90, 396, 96]}, {\"cell\": \"4.3E-06\", \"bbox\": [423, 90, 446, 96]}, {\"cell\": \"4.1E-25\", \"bbox\": [466, 90, 489, 96]}, {\"cell\": \"Statistics averaged over epitopes\", \"bbox\": [4, 111, 114, 119]}, {\"cell\": \"sensitivity\", \"bbox\": [4, 120, 39, 128]}, {\"cell\": \"0.09 ± 0.17\", \"bbox\": [52, 120, 86, 126]}, {\"cell\": \"0.15 ± 0.24\", \"bbox\": [95, 120, 129, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [140, 120, 173, 126]}, {\"cell\": \"0.27 ± 0.24\", \"bbox\": [185, 120, 219, 126]}, {\"cell\": \"0.42 ± 0.29\", \"bbox\": [240, 120, 274, 126]}, {\"cell\": \"0.25 ± 0.31\", \"bbox\": [302, 120, 336, 126]}, {\"cell\": \"0.46 ± 0.28\", \"bbox\": [365, 120, 399, 126]}, {\"cell\": \"0.34 ± 0.28\", \"bbox\": [417, 120, 451, 126]}, {\"cell\": \"0.43 ± 0.31\", \"bbox\": [461, 120, 495, 126]}, {\"cell\": \"1-specificity\", \"bbox\": [4, 129, 45, 137]}, {\"cell\": \"0.08 ± 0.03\", \"bbox\": [52, 129, 86, 135]}, {\"cell\": \"0.16 ± 0.07\", \"bbox\": [95, 129, 129, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [140, 129, 173, 135]}, {\"cell\": \"0.15 ± 0.06\", \"bbox\": [185, 129, 219, 135]}, {\"cell\": \"0.13 ± 0.07\", \"bbox\": [240, 129, 274, 135]}, {\"cell\": \"0.10 ± 0.07\", \"bbox\": [302, 129, 336, 135]}, {\"cell\": \"0.08 ± 0.05\", \"bbox\": [365, 129, 399, 135]}, {\"cell\": \"0.28 ± 0.20\", \"bbox\": [417, 129, 451, 135]}, {\"cell\": \"0.22 ± 0.15\", \"bbox\": [461, 129, 495, 135]}, {\"cell\": \"PPV\", \"bbox\": [4, 138, 21, 146]}, {\"cell\": \"0.11 ± 0.20\", \"bbox\": [52, 138, 86, 144]}, {\"cell\": \"0.10 ± 0.17\", \"bbox\": [95, 138, 129, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [140, 138, 173, 144]}, {\"cell\": \"0.18 ± 0.19\", \"bbox\": [185, 138, 219, 144]}, {\"cell\": \"0.30 ± 0.25\", \"bbox\": [240, 138, 274, 144]}, {\"cell\": \"0.25 ± 0.33\", \"bbox\": [302, 138, 336, 144]}, {\"cell\": \"0.41 ± 0.29\", \"bbox\": [365, 138, 399, 144]}, {\"cell\": \"0.11 ± 0.08\", \"bbox\": [417, 138, 451, 144]}, {\"cell\": \"0.18 ± 0.12\", \"bbox\": [461, 138, 495, 144]}, {\"cell\": \"accuracy\", \"bbox\": [4, 147, 35, 155]}, {\"cell\": \"0.83 ± 0.05\", \"bbox\": [52, 147, 86, 153]}, {\"cell\": \"0.77 ± 0.07\", \"bbox\": [95, 147, 129, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [140, 147, 173, 153]}, {\"cell\": \"0.80 ± 0.08\", \"bbox\": [185, 147, 219, 153]}, {\"cell\": \"0.83 ± 0.09\", \"bbox\": [240, 147, 274, 153]}, {\"cell\": \"0.84 ± 0.09\", \"bbox\": [302, 147, 336, 153]}, {\"cell\": \"0.88 ± 0.07\", \"bbox\": [365, 147, 399, 153]}, {\"cell\": \"0.69 ± 0.17\", \"bbox\": [417, 147, 451, 153]}, {\"cell\": \"0.74 ± 0.12\", \"bbox\": [461, 147, 495, 153]}, {\"cell\": \"AUC\", \"bbox\": [4, 156, 23, 164]}, {\"cell\": \"0.51 ± 0.09\", \"bbox\": [52, 156, 86, 162]}, {\"cell\": \"0.50 ± 0.13\", \"bbox\": [95, 156, 129, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [140, 156, 173, 162]}, {\"cell\": \"0.56 ± 0.11\", \"bbox\": [185, 156, 219, 162]}, {\"cell\": \"0.64 ± 0.17\", \"bbox\": [240, 156, 274, 162]}, {\"cell\": \"0.58 ± 0.17\", \"bbox\": [302, 156, 336, 162]}, {\"cell\": \"0.69 ± 0.15\", \"bbox\": [365, 156, 399, 162]}, {\"cell\": \"0.53 ± 0.08\", \"bbox\": [417, 156, 451, 162]}, {\"cell\": \"0.60 ± 0.13\", \"bbox\": [461, 156, 495, 162]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2174481_012_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
CharacteristicTotal(N=75)LINC00470 high expressionLINC00470 low expression
Histologic grade*-no.(%)
Astrocytoma
I9(12)3(33)[EMPTY_CELL]
II27(36)14(52)[EMPTY_CELL]
III18(24)13(72)[EMPTY_CELL]
IV21(28)17(81)[EMPTY_CELL]
Sex-no.(%)
Male39(52)17(44)[EMPTY_CELL]
Female36(48)21(58)[EMPTY_CELL]
Age*-no.(%)
≤4231(41)10(33)[EMPTY_CELL]
>4244(54)35(80)[EMPTY_CELL]
Tumor location*-no./total no.(%)
Frontal lobe23/72(32)9/23(39)[EMPTY_CELL]
Parietal lobe19/72(26)6/19(32)[EMPTY_CELL]
Temporal lobe13/72(19)10/13(77)[EMPTY_CELL]
Brainstem3/72(4)2/3(66)[EMPTY_CELL]
others14/72(19)7/17(50)[EMPTY_CELL]
Laterality-no./total no.(%)
Left32/72(44)15/33(47)[EMPTY_CELL]
Right25/72(35)10/26(38)[EMPTY_CELL]
others15/72(21)7/16(43)[EMPTY_CELL]
Presenting symptom-no./total no.(%)
Seizure38/70(54)21/38(55)[EMPTY_CELL]
Headache12/70(17)6/12(50)[EMPTY_CELL]
Sensory or visual change9/70(13)5/9 (56)[EMPTY_CELL]
Mental statue change11/70(16)6/11(55)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Characteristic\", \"bbox\": [1, 4, 45, 13]}, {\"cell\": \"Total(N=75)\", \"bbox\": [87, 4, 126, 13]}, {\"cell\": \"LINC00470 high expression\", \"bbox\": [130, 4, 182, 22]}, {\"cell\": \"LINC00470 low expression\", \"bbox\": [186, 4, 236, 22]}, {\"cell\": \"Histologic grade*-no.(%)\", \"bbox\": [1, 24, 79, 36]}, {\"cell\": \" Astrocytoma\", \"bbox\": [8, 40, 51, 50]}, {\"cell\": \"I\", \"bbox\": [16, 54, 20, 64]}, {\"cell\": \"9(12)\", \"bbox\": [87, 54, 104, 64]}, {\"cell\": \"3(33)\", \"bbox\": [130, 54, 147, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 54, 204, 64]}, {\"cell\": \"II\", \"bbox\": [16, 68, 22, 78]}, {\"cell\": \"27(36)\", \"bbox\": [87, 68, 108, 78]}, {\"cell\": \"14(52)\", \"bbox\": [130, 68, 151, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 68, 208, 78]}, {\"cell\": \"III\", \"bbox\": [16, 82, 23, 92]}, {\"cell\": \"18(24)\", \"bbox\": [87, 82, 108, 92]}, {\"cell\": \"13(72)\", \"bbox\": [130, 82, 151, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 82, 208, 92]}, {\"cell\": \"IV\", \"bbox\": [16, 96, 24, 106]}, {\"cell\": \"21(28)\", \"bbox\": [87, 96, 108, 106]}, {\"cell\": \"17(81)\", \"bbox\": [130, 96, 151, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 96, 204, 106]}, {\"cell\": \"Sex-no.(%)\", \"bbox\": [1, 110, 36, 120]}, {\"cell\": \" Male\", \"bbox\": [8, 124, 26, 134]}, {\"cell\": \"39(52)\", \"bbox\": [87, 124, 108, 134]}, {\"cell\": \"17(44)\", \"bbox\": [130, 124, 151, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 124, 208, 134]}, {\"cell\": \" Female\", \"bbox\": [8, 138, 34, 148]}, {\"cell\": \"36(48)\", \"bbox\": [87, 138, 108, 148]}, {\"cell\": \"21(58)\", \"bbox\": [130, 138, 151, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 138, 208, 148]}, {\"cell\": \"Age*-no.(%)\", \"bbox\": [1, 150, 40, 162]}, {\"cell\": \" ≤42\", \"bbox\": [8, 166, 23, 176]}, {\"cell\": \"31(41)\", \"bbox\": [87, 166, 108, 176]}, {\"cell\": \"10(33)\", \"bbox\": [130, 166, 151, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 166, 208, 176]}, {\"cell\": \" >42\", \"bbox\": [8, 180, 23, 190]}, {\"cell\": \"44(54)\", \"bbox\": [87, 180, 108, 190]}, {\"cell\": \"35(80)\", \"bbox\": [130, 180, 151, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 180, 204, 190]}, {\"cell\": \"Tumor location*-no./total no.(%)\", \"bbox\": [1, 192, 105, 204]}, {\"cell\": \" Frontal lobe\", \"bbox\": [8, 208, 49, 218]}, {\"cell\": \"23/72(32)\", \"bbox\": [87, 208, 118, 218]}, {\"cell\": \"9/23(39)\", \"bbox\": [130, 208, 158, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 208, 218, 218]}, {\"cell\": \" Parietal lobe\", \"bbox\": [8, 222, 50, 232]}, {\"cell\": \"19/72(26)\", \"bbox\": [87, 222, 118, 232]}, {\"cell\": \"6/19(32)\", \"bbox\": [130, 222, 158, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 222, 218, 232]}, {\"cell\": \" Temporal lobe\", \"bbox\": [8, 236, 57, 246]}, {\"cell\": \"13/72(19)\", \"bbox\": [87, 236, 118, 246]}, {\"cell\": \"10/13(77)\", \"bbox\": [130, 236, 162, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 236, 215, 246]}, {\"cell\": \" Brainstem\", \"bbox\": [8, 250, 42, 260]}, {\"cell\": \"3/72(4)\", \"bbox\": [87, 250, 111, 260]}, {\"cell\": \"2/3(66)\", \"bbox\": [130, 250, 154, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 250, 211, 260]}, {\"cell\": \" others\", \"bbox\": [8, 264, 30, 274]}, {\"cell\": \"14/72(19)\", \"bbox\": [87, 264, 118, 274]}, {\"cell\": \"7/17(50)\", \"bbox\": [130, 264, 158, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 264, 215, 274]}, {\"cell\": \"Laterality-no./total no.(%)\", \"bbox\": [1, 278, 82, 288]}, {\"cell\": \" Left\", \"bbox\": [8, 292, 22, 302]}, {\"cell\": \"32/72(44)\", \"bbox\": [87, 292, 118, 302]}, {\"cell\": \"15/33(47)\", \"bbox\": [130, 292, 162, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 292, 218, 302]}, {\"cell\": \" Right\", \"bbox\": [8, 306, 27, 316]}, {\"cell\": \"25/72(35)\", \"bbox\": [87, 306, 118, 316]}, {\"cell\": \"10/26(38)\", \"bbox\": [130, 306, 162, 316]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 306, 218, 316]}, {\"cell\": \" others\", \"bbox\": [8, 320, 30, 330]}, {\"cell\": \"15/72(21)\", \"bbox\": [87, 320, 118, 330]}, {\"cell\": \"7/16(43)\", \"bbox\": [130, 320, 158, 330]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 320, 215, 330]}, {\"cell\": \"Presenting symptom-no./total no.(%)\", \"bbox\": [1, 334, 120, 344]}, {\"cell\": \" Seizure\", \"bbox\": [8, 348, 33, 358]}, {\"cell\": \"38/70(54)\", \"bbox\": [87, 348, 118, 358]}, {\"cell\": \"21/38(55)\", \"bbox\": [130, 348, 162, 358]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 348, 218, 358]}, {\"cell\": \" Headache\", \"bbox\": [8, 362, 42, 372]}, {\"cell\": \"12/70(17)\", \"bbox\": [87, 362, 118, 372]}, {\"cell\": \"6/12(50)\", \"bbox\": [130, 362, 158, 372]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 362, 215, 372]}, {\"cell\": \" Sensory or visual change\", \"bbox\": [8, 376, 64, 395]}, {\"cell\": \"9/70(13)\", \"bbox\": [87, 376, 115, 386]}, {\"cell\": \"5/9 (56)\", \"bbox\": [130, 376, 156, 386]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 376, 211, 386]}, {\"cell\": \" Mental statue change\", \"bbox\": [8, 399, 80, 409]}, {\"cell\": \"11/70(16)\", \"bbox\": [87, 399, 118, 409]}, {\"cell\": \"6/11(55)\", \"bbox\": [130, 399, 158, 409]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 399, 215, 409]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5987392_010_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
FeatureDimensions
[EMPTY_CELL]• Reward: incentive implies increase in payments• Penalty: incentive implies decrease in payments
[EMPTY_CELL]• Individual: incentive is granted to an individual (e.g. healthcare provider such as GP)• Group: incentive is granted to a group (e.g. clinical team, GP practice, hospital trust)
[EMPTY_CELL]• Structure: incentives are based on resources assembled to deliver care (including personnel, facilities, IT, and materials)• Process: incentives are based on the completion of specific tasks or recommended treatments (e.g. performance measures, clinical quality)• Outcome: incentives are based on ultimate results of care (e.g. patient experience, health status, morbidity, and mortality)
[EMPTY_CELL]• General: incentives target at general domain of quality (e.g. payment for each patient enrolled in disease management program).• Selective: incentives target a specific domain of quality (e.g. periodic blood pressure readings or cholesterol screening)
[EMPTY_CELL]• Intrinsic: incentive affects intrinsic motivation to deliver high quality care (e.g. patient benefit)• Extrinsic: incentive affects extrinsic motivation to deliver high quality care (e.g. economic interest)
[EMPTY_CELL]• Relative: incentive is paid for achieving a given comparative ranking among providers (e.g. hospitals in top 2 performing quartiles are offered increases in tariff payments)• Absolute: incentives is paid for a continuous gradient of quality improvement (e.g. sickness funds receive higher payments for each patient enrolled in disease management program)
[EMPTY_CELL]• Amount of money provided or withdrawn
[EMPTY_CELL]• Certain: incented entity is certain about achievability of targets (e.g. targets seem easily achievable; guaranteed reward schedule)• Uncertain: incented entity is uncertain about achievability of targets (e.g. targets seem not easily achievable; competition for limited funds)
[EMPTY_CELL]• Frequency: number of times a year an incentive is provided• Duration: number of years an incentive is provided
\", \"cells\": [{\"cell\": \"Feature\", \"bbox\": [1, 4, 29, 12]}, {\"cell\": \"Dimensions\", \"bbox\": [123, 4, 165, 12]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 26, 27]}, {\"cell\": \"• Reward: incentive implies increase in payments• Penalty: incentive implies decrease in payments\", \"bbox\": [123, 17, 284, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 39, 83, 49]}, {\"cell\": \"• Individual: incentive is granted to an individual (e.g. healthcare provider such as GP)• Group: incentive is granted to a group (e.g. clinical team, GP practice, hospital trust)\", \"bbox\": [123, 39, 402, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 61, 111, 80]}, {\"cell\": \"• Structure: incentives are based on resources assembled to deliver care (including personnel, facilities, IT, and materials)• Process: incentives are based on the completion of specific tasks or recommended treatments (e.g. performance measures, clinical quality)• Outcome: incentives are based on ultimate results of care (e.g. patient experience, health status, morbidity, and mortality)\", \"bbox\": [123, 61, 479, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 120, 30, 129]}, {\"cell\": \"• General: incentives target at general domain of quality (e.g. payment for each patient enrolled in disease management program).• Selective: incentives target a specific domain of quality (e.g. periodic blood pressure readings or cholesterol screening)\", \"bbox\": [123, 120, 477, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 160, 44, 169]}, {\"cell\": \"• Intrinsic: incentive affects intrinsic motivation to deliver high quality care (e.g. patient benefit)• Extrinsic: incentive affects extrinsic motivation to deliver high quality care (e.g. economic interest)\", \"bbox\": [123, 160, 444, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 182, 26, 191]}, {\"cell\": \"• Relative: incentive is paid for achieving a given comparative ranking among providers (e.g. hospitals in top 2 performing quartiles are offered increases in tariff payments)• Absolute: incentives is paid for a continuous gradient of quality improvement (e.g. sickness funds receive higher payments for each patient enrolled in disease management program)\", \"bbox\": [123, 182, 482, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 222, 23, 231]}, {\"cell\": \"• Amount of money provided or withdrawn\", \"bbox\": [123, 222, 267, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 235, 39, 245]}, {\"cell\": \"• Certain: incented entity is certain about achievability of targets (e.g. targets seem easily achievable; guaranteed reward schedule)• Uncertain: incented entity is uncertain about achievability of targets (e.g. targets seem not easily achievable; competition for limited funds)\", \"bbox\": [123, 235, 479, 272]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 275, 88, 285]}, {\"cell\": \"• Frequency: number of times a year an incentive is provided• Duration: number of years an incentive is provided\", \"bbox\": [123, 275, 323, 294]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3218039_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]TotalMenWomen
[EMPTY_CELL]CHDControlOR95% CINominal pAdjusted pCHDControlOR95% CINominal pAdjusted pCHDControlOR95% CINominal pAdjusted p
11/10100/0100CTAC/CTAC[EMPTY_CELL]521.5110.893-2.5570.122140280.8240.421-1.6110.3340.3347240.2510.105-0.8760.004*0.036*
21/20100/0000CTAC/CCAC[EMPTY_CELL]590.8580.576-1.2780.451153251.4370.839-2.4620.1490.74519340.4190.218-0.8060.016*0.072
32/20000/0000CCAC/CCAC[EMPTY_CELL]241.2160.708-2.0880.4790.95832102.1841.033-4.6150.0740.7407140.4350.167-1.1300.1080.324
41/30100/0001CTAC/CCAT[EMPTY_CELL]180.7560.387-1.4770.412112130.5490.242-1.2450.1950.488751.3540.414-4.4250.3510.526
51/40100/0010CTAC/CCCC[EMPTY_CELL]81.1000.442-2.7390.8371960.9330.324-2.6860.3260.408320.4380.235-8.8000.3080.554
61/50100/1001CTAC/TCAT[EMPTY_CELL]51.4780.498-4.3860.4791931.9120.508-7.2010.2200.440120.4690.042-5.2640.4240.424
72/50000/1001CCAC/TCAT[EMPTY_CELL]40.9120.242-3.4370.9000.98150---[EMPTY_CELL]04---[EMPTY_CELL]
85/51001/1001TCAT/TCAT[EMPTY_CELL]12.2050.228-21.3380.4840.830110.6220.039-10.0320.2940.4920---[EMPTY_CELL]
91/70100/1000CTAC/TCAC[EMPTY_CELL]41.0980.306-3.9390.8911120.3080.028-3.4370.3210.467522.4770.463-12.9310.2780.626
101/80100/1010CTAC/TCCC[EMPTY_CELL]30.7280.146-3.6420.6981110.6220.039-10.0320.3270.363220.9480.131-6.8740.3830.431
112/80000/1010CCAC/TCCC[EMPTY_CELL]51.0240.321-3.2690.9680.96805---[EMPTY_CELL]70---[EMPTY_CELL]
121/90100/1011CTAC/TCCT[EMPTY_CELL]80.4480.144-1.3870.1530.918460.4040.112-1.4610.1540.513120.4690.042-5.2640.3530.454
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Total\", \"bbox\": [203, 4, 221, 13]}, {\"cell\": \"Men\", \"bbox\": [414, 4, 430, 13]}, {\"cell\": \"Women\", \"bbox\": [567, 4, 594, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CHD\", \"bbox\": [96, 16, 113, 25]}, {\"cell\": \"Control\", \"bbox\": [117, 16, 143, 25]}, {\"cell\": \"OR\", \"bbox\": [150, 16, 162, 25]}, {\"cell\": \"95% CI\", \"bbox\": [176, 16, 201, 25]}, {\"cell\": \"Nominal p\", \"bbox\": [212, 16, 241, 34]}, {\"cell\": \"Adjusted p\", \"bbox\": [245, 16, 276, 34]}, {\"cell\": \"CHD\", \"bbox\": [281, 16, 297, 25]}, {\"cell\": \"Control\", \"bbox\": [301, 16, 327, 25]}, {\"cell\": \"OR\", \"bbox\": [335, 16, 346, 25]}, {\"cell\": \"95% CI\", \"bbox\": [360, 16, 385, 25]}, {\"cell\": \"Nominal p\", \"bbox\": [396, 16, 426, 34]}, {\"cell\": \"Adjusted p\", \"bbox\": [430, 16, 461, 34]}, {\"cell\": \"CHD\", \"bbox\": [465, 16, 481, 25]}, {\"cell\": \"Control\", \"bbox\": [486, 16, 512, 25]}, {\"cell\": \"OR\", \"bbox\": [519, 16, 530, 25]}, {\"cell\": \"95% CI\", \"bbox\": [545, 16, 570, 25]}, {\"cell\": \"Nominal p\", \"bbox\": [581, 16, 610, 34]}, {\"cell\": \"Adjusted p\", \"bbox\": [614, 16, 645, 34]}, {\"cell\": \"1\", \"bbox\": [2, 38, 8, 45]}, {\"cell\": \"1/1\", \"bbox\": [14, 38, 26, 47]}, {\"cell\": \"0100/0100\", \"bbox\": [30, 38, 49, 54]}, {\"cell\": \"CTAC/CTAC\", \"bbox\": [54, 38, 91, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 38, 109, 45]}, {\"cell\": \"52\", \"bbox\": [125, 38, 135, 45]}, {\"cell\": \"1.511\", \"bbox\": [147, 38, 165, 45]}, {\"cell\": \"0.893-2.557\", \"bbox\": [171, 38, 206, 45]}, {\"cell\": \"0.122\", \"bbox\": [218, 38, 235, 45]}, {\"cell\": \"1\", \"bbox\": [258, 38, 264, 45]}, {\"cell\": \"40\", \"bbox\": [284, 38, 293, 45]}, {\"cell\": \"28\", \"bbox\": [310, 38, 319, 45]}, {\"cell\": \"0.824\", \"bbox\": [331, 38, 349, 45]}, {\"cell\": \"0.421-1.611\", \"bbox\": [355, 38, 390, 45]}, {\"cell\": \"0.334\", \"bbox\": [402, 38, 420, 45]}, {\"cell\": \"0.334\", \"bbox\": [437, 38, 454, 45]}, {\"cell\": \"7\", \"bbox\": [470, 38, 476, 45]}, {\"cell\": \"24\", \"bbox\": [494, 38, 503, 45]}, {\"cell\": \"0.251\", \"bbox\": [516, 38, 533, 45]}, {\"cell\": \"0.105-0.876\", \"bbox\": [539, 38, 575, 45]}, {\"cell\": \"0.004*\", \"bbox\": [585, 38, 606, 45]}, {\"cell\": \"0.036*\", \"bbox\": [619, 38, 640, 45]}, {\"cell\": \"2\", \"bbox\": [2, 60, 8, 67]}, {\"cell\": \"1/2\", \"bbox\": [14, 60, 26, 69]}, {\"cell\": \"0100/0000\", \"bbox\": [30, 60, 49, 76]}, {\"cell\": \"CTAC/CCAC\", \"bbox\": [54, 60, 92, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 60, 109, 67]}, {\"cell\": \"59\", \"bbox\": [125, 60, 135, 67]}, {\"cell\": \"0.858\", \"bbox\": [147, 60, 165, 67]}, {\"cell\": \"0.576-1.278\", \"bbox\": [171, 60, 206, 67]}, {\"cell\": \"0.451\", \"bbox\": [218, 60, 235, 67]}, {\"cell\": \"1\", \"bbox\": [258, 60, 264, 67]}, {\"cell\": \"53\", \"bbox\": [284, 60, 293, 67]}, {\"cell\": \"25\", \"bbox\": [310, 60, 319, 67]}, {\"cell\": \"1.437\", \"bbox\": [331, 60, 349, 67]}, {\"cell\": \"0.839-2.462\", \"bbox\": [355, 60, 390, 67]}, {\"cell\": \"0.149\", \"bbox\": [402, 60, 420, 67]}, {\"cell\": \"0.745\", \"bbox\": [437, 60, 454, 67]}, {\"cell\": \"19\", \"bbox\": [469, 60, 478, 67]}, {\"cell\": \"34\", \"bbox\": [494, 60, 503, 67]}, {\"cell\": \"0.419\", \"bbox\": [516, 60, 533, 67]}, {\"cell\": \"0.218-0.806\", \"bbox\": [539, 60, 575, 67]}, {\"cell\": \"0.016*\", \"bbox\": [585, 60, 606, 67]}, {\"cell\": \"0.072\", \"bbox\": [621, 60, 639, 67]}, {\"cell\": \"3\", \"bbox\": [2, 82, 8, 89]}, {\"cell\": \"2/2\", \"bbox\": [14, 82, 26, 91]}, {\"cell\": \"0000/0000\", \"bbox\": [30, 82, 49, 98]}, {\"cell\": \"CCAC/CCAC\", \"bbox\": [53, 82, 92, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 82, 109, 89]}, {\"cell\": \"24\", \"bbox\": [125, 82, 135, 89]}, {\"cell\": \"1.216\", \"bbox\": [147, 82, 165, 89]}, {\"cell\": \"0.708-2.088\", \"bbox\": [171, 82, 206, 89]}, {\"cell\": \"0.479\", \"bbox\": [218, 82, 235, 89]}, {\"cell\": \"0.958\", \"bbox\": [252, 82, 270, 89]}, {\"cell\": \"32\", \"bbox\": [284, 82, 293, 89]}, {\"cell\": \"10\", \"bbox\": [310, 82, 319, 89]}, {\"cell\": \"2.184\", \"bbox\": [331, 82, 349, 89]}, {\"cell\": \"1.033-4.615\", \"bbox\": [355, 82, 390, 89]}, {\"cell\": \"0.074\", \"bbox\": [402, 82, 420, 89]}, {\"cell\": \"0.740\", \"bbox\": [437, 82, 454, 89]}, {\"cell\": \"7\", \"bbox\": [470, 82, 476, 89]}, {\"cell\": \"14\", \"bbox\": [494, 82, 503, 89]}, {\"cell\": \"0.435\", \"bbox\": [516, 82, 533, 89]}, {\"cell\": \"0.167-1.130\", \"bbox\": [539, 82, 575, 89]}, {\"cell\": \"0.108\", \"bbox\": [587, 82, 604, 89]}, {\"cell\": \"0.324\", \"bbox\": [621, 82, 639, 89]}, {\"cell\": \"4\", \"bbox\": [2, 104, 8, 111]}, {\"cell\": \"1/3\", \"bbox\": [14, 104, 26, 113]}, {\"cell\": \"0100/0001\", \"bbox\": [30, 104, 49, 120]}, {\"cell\": \"CTAC/CCAT\", \"bbox\": [54, 104, 91, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 104, 109, 111]}, {\"cell\": \"18\", \"bbox\": [125, 104, 135, 111]}, {\"cell\": \"0.756\", \"bbox\": [147, 104, 165, 111]}, {\"cell\": \"0.387-1.477\", \"bbox\": [171, 104, 206, 111]}, {\"cell\": \"0.412\", \"bbox\": [218, 104, 235, 111]}, {\"cell\": \"1\", \"bbox\": [258, 104, 264, 111]}, {\"cell\": \"12\", \"bbox\": [284, 104, 293, 111]}, {\"cell\": \"13\", \"bbox\": [310, 104, 319, 111]}, {\"cell\": \"0.549\", \"bbox\": [331, 104, 349, 111]}, {\"cell\": \"0.242-1.245\", \"bbox\": [355, 104, 390, 111]}, {\"cell\": \"0.195\", \"bbox\": [402, 104, 420, 111]}, {\"cell\": \"0.488\", \"bbox\": [437, 104, 454, 111]}, {\"cell\": \"7\", \"bbox\": [470, 104, 476, 111]}, {\"cell\": \"5\", \"bbox\": [496, 104, 501, 111]}, {\"cell\": \"1.354\", \"bbox\": [516, 104, 533, 111]}, {\"cell\": \"0.414-4.425\", \"bbox\": [539, 104, 575, 111]}, {\"cell\": \"0.351\", \"bbox\": [587, 104, 604, 111]}, {\"cell\": \"0.526\", \"bbox\": [621, 104, 639, 111]}, {\"cell\": \"5\", \"bbox\": [2, 126, 8, 133]}, {\"cell\": \"1/4\", \"bbox\": [14, 126, 26, 135]}, {\"cell\": \"0100/0010\", \"bbox\": [30, 126, 49, 142]}, {\"cell\": \"CTAC/CCCC\", \"bbox\": [54, 126, 92, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 126, 109, 133]}, {\"cell\": \"8\", \"bbox\": [127, 126, 133, 133]}, {\"cell\": \"1.100\", \"bbox\": [147, 126, 165, 133]}, {\"cell\": \"0.442-2.739\", \"bbox\": [171, 126, 206, 133]}, {\"cell\": \"0.837\", \"bbox\": [218, 126, 235, 133]}, {\"cell\": \"1\", \"bbox\": [258, 126, 264, 133]}, {\"cell\": \"9\", \"bbox\": [286, 126, 292, 133]}, {\"cell\": \"6\", \"bbox\": [311, 126, 317, 133]}, {\"cell\": \"0.933\", \"bbox\": [331, 126, 349, 133]}, {\"cell\": \"0.324-2.686\", \"bbox\": [355, 126, 390, 133]}, {\"cell\": \"0.326\", \"bbox\": [402, 126, 420, 133]}, {\"cell\": \"0.408\", \"bbox\": [437, 126, 454, 133]}, {\"cell\": \"3\", \"bbox\": [470, 126, 476, 133]}, {\"cell\": \"2\", \"bbox\": [496, 126, 501, 133]}, {\"cell\": \"0.438\", \"bbox\": [516, 126, 533, 133]}, {\"cell\": \"0.235-8.800\", \"bbox\": [539, 126, 575, 133]}, {\"cell\": \"0.308\", \"bbox\": [587, 126, 604, 133]}, {\"cell\": \"0.554\", \"bbox\": [621, 126, 639, 133]}, {\"cell\": \"6\", \"bbox\": [2, 148, 8, 155]}, {\"cell\": \"1/5\", \"bbox\": [14, 148, 26, 157]}, {\"cell\": \"0100/1001\", \"bbox\": [30, 148, 49, 164]}, {\"cell\": \"CTAC/TCAT\", \"bbox\": [55, 148, 91, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 148, 109, 155]}, {\"cell\": \"5\", \"bbox\": [127, 148, 133, 155]}, {\"cell\": \"1.478\", \"bbox\": [147, 148, 165, 155]}, {\"cell\": \"0.498-4.386\", \"bbox\": [171, 148, 206, 155]}, {\"cell\": \"0.479\", \"bbox\": [218, 148, 235, 155]}, {\"cell\": \"1\", \"bbox\": [258, 148, 264, 155]}, {\"cell\": \"9\", \"bbox\": [286, 148, 292, 155]}, {\"cell\": \"3\", \"bbox\": [311, 148, 317, 155]}, {\"cell\": \"1.912\", \"bbox\": [331, 148, 349, 155]}, {\"cell\": \"0.508-7.201\", \"bbox\": [355, 148, 390, 155]}, {\"cell\": \"0.220\", \"bbox\": [402, 148, 420, 155]}, {\"cell\": \"0.440\", \"bbox\": [437, 148, 454, 155]}, {\"cell\": \"1\", \"bbox\": [470, 148, 476, 155]}, {\"cell\": \"2\", \"bbox\": [496, 148, 501, 155]}, {\"cell\": \"0.469\", \"bbox\": [516, 148, 533, 155]}, {\"cell\": \"0.042-5.264\", \"bbox\": [539, 148, 575, 155]}, {\"cell\": \"0.424\", \"bbox\": [587, 148, 604, 155]}, {\"cell\": \"0.424\", \"bbox\": [621, 148, 639, 155]}, {\"cell\": \"7\", \"bbox\": [2, 170, 8, 177]}, {\"cell\": \"2/5\", \"bbox\": [14, 170, 26, 179]}, {\"cell\": \"0000/1001\", \"bbox\": [30, 170, 49, 186]}, {\"cell\": \"CCAC/TCAT\", \"bbox\": [54, 170, 91, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 170, 107, 177]}, {\"cell\": \"4\", \"bbox\": [127, 170, 133, 177]}, {\"cell\": \"0.912\", \"bbox\": [147, 170, 165, 177]}, {\"cell\": \"0.242-3.437\", \"bbox\": [171, 170, 206, 177]}, {\"cell\": \"0.900\", \"bbox\": [218, 170, 235, 177]}, {\"cell\": \"0.981\", \"bbox\": [252, 170, 270, 177]}, {\"cell\": \"5\", \"bbox\": [286, 170, 292, 177]}, {\"cell\": \"0\", \"bbox\": [311, 170, 317, 177]}, {\"cell\": \"-\", \"bbox\": [338, 170, 342, 177]}, {\"cell\": \"-\", \"bbox\": [371, 170, 375, 177]}, {\"cell\": \"-\", \"bbox\": [409, 170, 413, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0\", \"bbox\": [470, 170, 476, 177]}, {\"cell\": \"4\", \"bbox\": [496, 170, 501, 177]}, {\"cell\": \"-\", \"bbox\": [523, 170, 527, 177]}, {\"cell\": \"-\", \"bbox\": [555, 170, 559, 177]}, {\"cell\": \"-\", \"bbox\": [593, 170, 598, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"8\", \"bbox\": [2, 192, 8, 199]}, {\"cell\": \"5/5\", \"bbox\": [14, 192, 26, 201]}, {\"cell\": \"1001/1001\", \"bbox\": [30, 192, 49, 208]}, {\"cell\": \"TCAT/TCAT\", \"bbox\": [55, 192, 91, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 192, 107, 199]}, {\"cell\": \"1\", \"bbox\": [127, 192, 133, 199]}, {\"cell\": \"2.205\", \"bbox\": [147, 192, 165, 199]}, {\"cell\": \"0.228-21.338\", \"bbox\": [169, 192, 208, 199]}, {\"cell\": \"0.484\", \"bbox\": [218, 192, 235, 199]}, {\"cell\": \"0.830\", \"bbox\": [252, 192, 270, 199]}, {\"cell\": \"1\", \"bbox\": [286, 192, 292, 199]}, {\"cell\": \"1\", \"bbox\": [311, 192, 317, 199]}, {\"cell\": \"0.622\", \"bbox\": [331, 192, 349, 199]}, {\"cell\": \"0.039-10.032\", \"bbox\": [353, 192, 392, 199]}, {\"cell\": \"0.294\", \"bbox\": [402, 192, 420, 199]}, {\"cell\": \"0.49\", \"bbox\": [438, 192, 452, 199]}, {\"cell\": \"2\", \"bbox\": [470, 192, 476, 199]}, {\"cell\": \"0\", \"bbox\": [496, 192, 501, 199]}, {\"cell\": \"-\", \"bbox\": [523, 192, 527, 199]}, {\"cell\": \"-\", \"bbox\": [555, 192, 559, 199]}, {\"cell\": \"-\", \"bbox\": [593, 192, 598, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"9\", \"bbox\": [2, 214, 8, 221]}, {\"cell\": \"1/7\", \"bbox\": [14, 214, 26, 223]}, {\"cell\": \"0100/1000\", \"bbox\": [30, 214, 49, 230]}, {\"cell\": \"CTAC/TCAC\", \"bbox\": [54, 214, 91, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 214, 107, 221]}, {\"cell\": \"4\", \"bbox\": [127, 214, 133, 221]}, {\"cell\": \"1.098\", \"bbox\": [147, 214, 165, 221]}, {\"cell\": \"0.306-3.939\", \"bbox\": [171, 214, 206, 221]}, {\"cell\": \"0.891\", \"bbox\": [218, 214, 235, 221]}, {\"cell\": \"1\", \"bbox\": [258, 214, 264, 221]}, {\"cell\": \"1\", \"bbox\": [286, 214, 292, 221]}, {\"cell\": \"2\", \"bbox\": [311, 214, 317, 221]}, {\"cell\": \"0.308\", \"bbox\": [331, 214, 349, 221]}, {\"cell\": \"0.028-3.437\", \"bbox\": [355, 214, 390, 221]}, {\"cell\": \"0.321\", \"bbox\": [402, 214, 420, 221]}, {\"cell\": \"0.467\", \"bbox\": [437, 214, 454, 221]}, {\"cell\": \"5\", \"bbox\": [470, 214, 476, 221]}, {\"cell\": \"2\", \"bbox\": [496, 214, 501, 221]}, {\"cell\": \"2.477\", \"bbox\": [516, 214, 533, 221]}, {\"cell\": \"0.463-12.931\", \"bbox\": [538, 214, 577, 221]}, {\"cell\": \"0.278\", \"bbox\": [587, 214, 604, 221]}, {\"cell\": \"0.626\", \"bbox\": [621, 214, 639, 221]}, {\"cell\": \"10\", \"bbox\": [1, 236, 10, 243]}, {\"cell\": \"1/8\", \"bbox\": [14, 236, 26, 245]}, {\"cell\": \"0100/1010\", \"bbox\": [30, 236, 49, 252]}, {\"cell\": \"CTAC/TCCC\", \"bbox\": [54, 236, 91, 243]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 236, 107, 243]}, {\"cell\": \"3\", \"bbox\": [127, 236, 133, 243]}, {\"cell\": \"0.728\", \"bbox\": [147, 236, 165, 243]}, {\"cell\": \"0.146-3.642\", \"bbox\": [171, 236, 206, 243]}, {\"cell\": \"0.698\", \"bbox\": [218, 236, 235, 243]}, {\"cell\": \"1\", \"bbox\": [258, 236, 264, 243]}, {\"cell\": \"1\", \"bbox\": [286, 236, 292, 243]}, {\"cell\": \"1\", \"bbox\": [311, 236, 317, 243]}, {\"cell\": \"0.622\", \"bbox\": [331, 236, 349, 243]}, {\"cell\": \"0.039-10.032\", \"bbox\": [353, 236, 392, 243]}, {\"cell\": \"0.327\", \"bbox\": [402, 236, 420, 243]}, {\"cell\": \"0.363\", \"bbox\": [437, 236, 454, 243]}, {\"cell\": \"2\", \"bbox\": [470, 236, 476, 243]}, {\"cell\": \"2\", \"bbox\": [496, 236, 501, 243]}, {\"cell\": \"0.948\", \"bbox\": [516, 236, 533, 243]}, {\"cell\": \"0.131-6.874\", \"bbox\": [539, 236, 575, 243]}, {\"cell\": \"0.383\", \"bbox\": [587, 236, 604, 243]}, {\"cell\": \"0.431\", \"bbox\": [621, 236, 639, 243]}, {\"cell\": \"11\", \"bbox\": [1, 258, 10, 265]}, {\"cell\": \"2/8\", \"bbox\": [14, 258, 26, 267]}, {\"cell\": \"0000/1010\", \"bbox\": [30, 258, 49, 274]}, {\"cell\": \"CCAC/TCCC\", \"bbox\": [54, 258, 92, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 258, 107, 265]}, {\"cell\": \"5\", \"bbox\": [127, 258, 133, 265]}, {\"cell\": \"1.024\", \"bbox\": [147, 258, 165, 265]}, {\"cell\": \"0.321-3.269\", \"bbox\": [171, 258, 206, 265]}, {\"cell\": \"0.968\", \"bbox\": [218, 258, 235, 265]}, {\"cell\": \"0.968\", \"bbox\": [252, 258, 270, 265]}, {\"cell\": \"0\", \"bbox\": [286, 258, 292, 265]}, {\"cell\": \"5\", \"bbox\": [311, 258, 317, 265]}, {\"cell\": \"-\", \"bbox\": [338, 258, 342, 265]}, {\"cell\": \"-\", \"bbox\": [371, 258, 375, 265]}, {\"cell\": \"-\", \"bbox\": [409, 258, 413, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"7\", \"bbox\": [470, 258, 476, 265]}, {\"cell\": \"0\", \"bbox\": [496, 258, 501, 265]}, {\"cell\": \"-\", \"bbox\": [523, 258, 527, 265]}, {\"cell\": \"-\", \"bbox\": [555, 258, 559, 265]}, {\"cell\": \"-\", \"bbox\": [593, 258, 598, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"12\", \"bbox\": [1, 280, 10, 287]}, {\"cell\": \"1/9\", \"bbox\": [14, 280, 26, 289]}, {\"cell\": \"0100/1011\", \"bbox\": [30, 280, 49, 296]}, {\"cell\": \"CTAC/TCCT\", \"bbox\": [55, 280, 91, 287]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 280, 107, 287]}, {\"cell\": \"8\", \"bbox\": [127, 280, 133, 287]}, {\"cell\": \"0.448\", \"bbox\": [147, 280, 165, 287]}, {\"cell\": \"0.144-1.387\", \"bbox\": [171, 280, 206, 287]}, {\"cell\": \"0.153\", \"bbox\": [218, 280, 235, 287]}, {\"cell\": \"0.918\", \"bbox\": [252, 280, 270, 287]}, {\"cell\": \"4\", \"bbox\": [286, 280, 292, 287]}, {\"cell\": \"6\", \"bbox\": [311, 280, 317, 287]}, {\"cell\": \"0.404\", \"bbox\": [331, 280, 349, 287]}, {\"cell\": \"0.112-1.461\", \"bbox\": [355, 280, 390, 287]}, {\"cell\": \"0.154\", \"bbox\": [402, 280, 420, 287]}, {\"cell\": \"0.513\", \"bbox\": [437, 280, 454, 287]}, {\"cell\": \"1\", \"bbox\": [470, 280, 476, 287]}, {\"cell\": \"2\", \"bbox\": [496, 280, 501, 287]}, {\"cell\": \"0.469\", \"bbox\": [516, 280, 533, 287]}, {\"cell\": \"0.042-5.264\", \"bbox\": [539, 280, 575, 287]}, {\"cell\": \"0.353\", \"bbox\": [587, 280, 604, 287]}, {\"cell\": \"0.454\", \"bbox\": [621, 280, 639, 287]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4246459_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
CharacteristicsCHXCatDex
[EMPTY_CELL]Gold standard antiseptic?
[EMPTY_CELL]HydrophilicHydrophilic
[EMPTY_CELL]Cationic polybiguanide (polybiguanide)Cationic
[EMPTY_CELL]1340 g moL−155 KD
[EMPTY_CELL]1.01 g cc−1?
[EMPTY_CELL]5.5–7.56.5
[EMPTY_CELL]Blue translucent liquidAmber translucent liquid
[EMPTY_CELL]Bactericide Fungicide AntiviralAntitumour efficacy [15, 16]
[EMPTY_CELL]Electrostatic interaction with cationic lipopolysaccharides and teichoic acid of cell wall [19]Electrostatic interaction with anionic structures of cytoplasm [15, 17]
\", \"cells\": [{\"cell\": \"Characteristics\", \"bbox\": [2, 4, 58, 15]}, {\"cell\": \"CHX\", \"bbox\": [188, 4, 209, 15]}, {\"cell\": \"CatDex\", \"bbox\": [393, 4, 423, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Gold standard antiseptic\", \"bbox\": [154, 18, 244, 29]}, {\"cell\": \"?\", \"bbox\": [405, 18, 411, 29]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 32, 39, 42]}, {\"cell\": \"Hydrophilic\", \"bbox\": [176, 32, 221, 42]}, {\"cell\": \"Hydrophilic\", \"bbox\": [385, 32, 431, 42]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 45, 30, 56]}, {\"cell\": \"Cationic polybiguanide (polybiguanide)\", \"bbox\": [126, 45, 271, 56]}, {\"cell\": \"Cationic\", \"bbox\": [392, 45, 424, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 59, 67, 70]}, {\"cell\": \"1340 g moL−1\", \"bbox\": [174, 55, 223, 70]}, {\"cell\": \"55 KD\", \"bbox\": [396, 59, 420, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 73, 32, 83]}, {\"cell\": \"1.01 g cc−1\", \"bbox\": [181, 69, 216, 83]}, {\"cell\": \"?\", \"bbox\": [405, 73, 411, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 86, 16, 97]}, {\"cell\": \"5.5–7.5\", \"bbox\": [186, 86, 212, 97]}, {\"cell\": \"6.5\", \"bbox\": [402, 86, 414, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 100, 47, 111]}, {\"cell\": \"Blue translucent liquid\", \"bbox\": [157, 100, 240, 111]}, {\"cell\": \"Amber translucent liquid\", \"bbox\": [362, 100, 454, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 123, 33, 134]}, {\"cell\": \"Bactericide Fungicide Antiviral\", \"bbox\": [177, 113, 219, 144]}, {\"cell\": \"Antitumour efficacy [15, 16]\", \"bbox\": [358, 123, 458, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 152, 80, 163]}, {\"cell\": \"Electrostatic interaction with cationic lipopolysaccharides and teichoic acid of cell wall [19]\", \"bbox\": [103, 147, 294, 168]}, {\"cell\": \"Electrostatic interaction with anionic structures of cytoplasm [15, 17]\", \"bbox\": [317, 147, 499, 168]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5435906_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
BiomarkersCut-off (ng/mL)AUCSE95 % CISensitivitySpecificityP value
0 h
Prdx1759.09[EMPTY_CELL]0.0920.56–0.910.6920.7740.015
CA IX0.123[EMPTY_CELL]0.0910.35–0.710.7690.4190.748
IL-60.839[EMPTY_CELL]0.1120.40–0.840.4620.9030.222
IL-80.333[EMPTY_CELL]0.1010.33–0.720.3080.8390.807
IL-100.245[EMPTY_CELL]0.1030.32–0.730.3080.9030.787
MCP-10.211[EMPTY_CELL]0.0980.43–0.810.6150.6770.222
TNF-α0.0013[EMPTY_CELL]0.0900.48–0.830.4620.8390.114
IL-1β0.019[EMPTY_CELL]0.1040.40–0.810.3081.0000.298
24 h
Prdx159.78[EMPTY_CELL]0.0590.75–0.981.0000.567<0.001
1027.230.667[EMPTY_CELL]
CA IX0.466[EMPTY_CELL]0.0650.68–0.941.0000.5670.002
IL-60.984[EMPTY_CELL]0.0620.75–1.000.7500.900<0.001
IL-80.208[EMPTY_CELL]0.0640.75–1.000.9170.800<0.001
IL-100.083[EMPTY_CELL]0.0710.72–1.000.9170.767<0.001
MCP-11.223[EMPTY_CELL]0.0880.00–1.000.8330.933<0.001
TNF-α0.0020[EMPTY_CELL]0.0760.68–0.980.8330.8330.001
IL-1β0.0043[EMPTY_CELL]0.0810.58–0.900.6670.7000.018
\", \"cells\": [{\"cell\": \"Biomarkers\", \"bbox\": [1, 4, 42, 14]}, {\"cell\": \"Cut-off (ng/mL)\", \"bbox\": [72, 4, 127, 14]}, {\"cell\": \"AUC\", \"bbox\": [158, 4, 175, 14]}, {\"cell\": \"SE\", \"bbox\": [208, 4, 218, 14]}, {\"cell\": \"95 % CI\", \"bbox\": [257, 4, 285, 14]}, {\"cell\": \"Sensitivity\", \"bbox\": [320, 4, 358, 14]}, {\"cell\": \"Specificity\", \"bbox\": [389, 4, 427, 14]}, {\"cell\": \"P value\", \"bbox\": [457, 4, 484, 14]}, {\"cell\": \"0 h\", \"bbox\": [1, 22, 13, 32]}, {\"cell\": \" Prdx1\", \"bbox\": [5, 34, 25, 44]}, {\"cell\": \"759.09\", \"bbox\": [76, 34, 99, 44]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 34, 177, 44]}, {\"cell\": \"0.092\", \"bbox\": [208, 34, 227, 44]}, {\"cell\": \"0.56–0.91\", \"bbox\": [257, 34, 290, 44]}, {\"cell\": \"0.692\", \"bbox\": [320, 34, 339, 44]}, {\"cell\": \"0.774\", \"bbox\": [389, 34, 408, 44]}, {\"cell\": \"0.015\", \"bbox\": [462, 34, 481, 44]}, {\"cell\": \" CA IX\", \"bbox\": [5, 46, 24, 56]}, {\"cell\": \"0.123\", \"bbox\": [84, 46, 103, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 46, 177, 56]}, {\"cell\": \"0.091\", \"bbox\": [208, 46, 227, 56]}, {\"cell\": \"0.35–0.71\", \"bbox\": [257, 46, 290, 56]}, {\"cell\": \"0.769\", \"bbox\": [320, 46, 339, 56]}, {\"cell\": \"0.419\", \"bbox\": [389, 46, 408, 56]}, {\"cell\": \"0.748\", \"bbox\": [462, 46, 481, 56]}, {\"cell\": \" IL-6\", \"bbox\": [5, 58, 18, 68]}, {\"cell\": \"0.839\", \"bbox\": [84, 58, 103, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 58, 177, 68]}, {\"cell\": \"0.112\", \"bbox\": [208, 58, 227, 68]}, {\"cell\": \"0.40–0.84\", \"bbox\": [257, 58, 290, 68]}, {\"cell\": \"0.462\", \"bbox\": [320, 58, 339, 68]}, {\"cell\": \"0.903\", \"bbox\": [389, 58, 408, 68]}, {\"cell\": \"0.222\", \"bbox\": [462, 58, 481, 68]}, {\"cell\": \" IL-8\", \"bbox\": [5, 71, 18, 80]}, {\"cell\": \"0.333\", \"bbox\": [84, 71, 103, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 71, 177, 80]}, {\"cell\": \"0.101\", \"bbox\": [208, 71, 227, 80]}, {\"cell\": \"0.33–0.72\", \"bbox\": [257, 71, 290, 80]}, {\"cell\": \"0.308\", \"bbox\": [320, 71, 339, 80]}, {\"cell\": \"0.839\", \"bbox\": [389, 71, 408, 80]}, {\"cell\": \"0.807\", \"bbox\": [462, 71, 481, 80]}, {\"cell\": \" IL-10\", \"bbox\": [5, 83, 22, 92]}, {\"cell\": \"0.245\", \"bbox\": [84, 83, 103, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 83, 177, 92]}, {\"cell\": \"0.103\", \"bbox\": [208, 83, 227, 92]}, {\"cell\": \"0.32–0.73\", \"bbox\": [257, 83, 290, 92]}, {\"cell\": \"0.308\", \"bbox\": [320, 83, 339, 92]}, {\"cell\": \"0.903\", \"bbox\": [389, 83, 408, 92]}, {\"cell\": \"0.787\", \"bbox\": [462, 83, 481, 92]}, {\"cell\": \" MCP-1\", \"bbox\": [5, 95, 28, 104]}, {\"cell\": \"0.211\", \"bbox\": [84, 95, 103, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 95, 177, 104]}, {\"cell\": \"0.098\", \"bbox\": [208, 95, 227, 104]}, {\"cell\": \"0.43–0.81\", \"bbox\": [257, 95, 290, 104]}, {\"cell\": \"0.615\", \"bbox\": [320, 95, 339, 104]}, {\"cell\": \"0.677\", \"bbox\": [389, 95, 408, 104]}, {\"cell\": \"0.222\", \"bbox\": [462, 95, 481, 104]}, {\"cell\": \" TNF-α\", \"bbox\": [5, 107, 26, 116]}, {\"cell\": \"0.0013\", \"bbox\": [84, 107, 107, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 107, 177, 116]}, {\"cell\": \"0.090\", \"bbox\": [208, 107, 227, 116]}, {\"cell\": \"0.48–0.83\", \"bbox\": [257, 107, 290, 116]}, {\"cell\": \"0.462\", \"bbox\": [320, 107, 339, 116]}, {\"cell\": \"0.839\", \"bbox\": [389, 107, 408, 116]}, {\"cell\": \"0.114\", \"bbox\": [462, 107, 481, 116]}, {\"cell\": \" IL-1β\", \"bbox\": [5, 119, 23, 128]}, {\"cell\": \"0.019\", \"bbox\": [84, 119, 103, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 119, 177, 128]}, {\"cell\": \"0.104\", \"bbox\": [208, 119, 227, 128]}, {\"cell\": \"0.40–0.81\", \"bbox\": [257, 119, 290, 128]}, {\"cell\": \"0.308\", \"bbox\": [320, 119, 339, 128]}, {\"cell\": \"1.000\", \"bbox\": [389, 119, 408, 128]}, {\"cell\": \"0.298\", \"bbox\": [462, 119, 481, 128]}, {\"cell\": \"24 h\", \"bbox\": [1, 131, 16, 140]}, {\"cell\": \" Prdx1\", \"bbox\": [5, 143, 25, 152]}, {\"cell\": \"59.78\", \"bbox\": [80, 143, 99, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 143, 177, 152]}, {\"cell\": \"0.059\", \"bbox\": [208, 143, 227, 152]}, {\"cell\": \"0.75–0.98\", \"bbox\": [257, 143, 290, 152]}, {\"cell\": \"1.000\", \"bbox\": [320, 143, 339, 152]}, {\"cell\": \"0.567\", \"bbox\": [389, 143, 408, 152]}, {\"cell\": \"<0.001\", \"bbox\": [457, 143, 481, 152]}, {\"cell\": \"1027.23\", \"bbox\": [72, 155, 99, 165]}, {\"cell\": \"0.667\", \"bbox\": [320, 155, 339, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [389, 155, 408, 165]}, {\"cell\": \" CA IX\", \"bbox\": [5, 167, 24, 177]}, {\"cell\": \"0.466\", \"bbox\": [84, 167, 103, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 167, 177, 177]}, {\"cell\": \"0.065\", \"bbox\": [208, 167, 227, 177]}, {\"cell\": \"0.68–0.94\", \"bbox\": [257, 167, 290, 177]}, {\"cell\": \"1.000\", \"bbox\": [320, 167, 339, 177]}, {\"cell\": \"0.567\", \"bbox\": [389, 167, 408, 177]}, {\"cell\": \"0.002\", \"bbox\": [462, 167, 481, 177]}, {\"cell\": \" IL-6\", \"bbox\": [5, 179, 18, 189]}, {\"cell\": \"0.984\", \"bbox\": [84, 179, 103, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 179, 177, 189]}, {\"cell\": \"0.062\", \"bbox\": [208, 179, 227, 189]}, {\"cell\": \"0.75–1.00\", \"bbox\": [257, 179, 290, 189]}, {\"cell\": \"0.750\", \"bbox\": [320, 179, 339, 189]}, {\"cell\": \"0.900\", \"bbox\": [389, 179, 408, 189]}, {\"cell\": \"<0.001\", \"bbox\": [457, 179, 481, 189]}, {\"cell\": \" IL-8\", \"bbox\": [5, 192, 18, 201]}, {\"cell\": \"0.208\", \"bbox\": [84, 192, 103, 201]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 192, 177, 201]}, {\"cell\": \"0.064\", \"bbox\": [208, 192, 227, 201]}, {\"cell\": \"0.75–1.00\", \"bbox\": [257, 192, 290, 201]}, {\"cell\": \"0.917\", \"bbox\": [320, 192, 339, 201]}, {\"cell\": \"0.800\", \"bbox\": [389, 192, 408, 201]}, {\"cell\": \"<0.001\", \"bbox\": [457, 192, 481, 201]}, {\"cell\": \" IL-10\", \"bbox\": [5, 204, 22, 213]}, {\"cell\": \"0.083\", \"bbox\": [84, 204, 103, 213]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 204, 177, 213]}, {\"cell\": \"0.071\", \"bbox\": [208, 204, 227, 213]}, {\"cell\": \"0.72–1.00\", \"bbox\": [257, 204, 290, 213]}, {\"cell\": \"0.917\", \"bbox\": [320, 204, 339, 213]}, {\"cell\": \"0.767\", \"bbox\": [389, 204, 408, 213]}, {\"cell\": \"<0.001\", \"bbox\": [457, 204, 481, 213]}, {\"cell\": \" MCP-1\", \"bbox\": [5, 216, 28, 225]}, {\"cell\": \"1.223\", \"bbox\": [84, 216, 103, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 216, 177, 225]}, {\"cell\": \"0.088\", \"bbox\": [208, 216, 227, 225]}, {\"cell\": \"0.00–1.00\", \"bbox\": [257, 216, 289, 225]}, {\"cell\": \"0.833\", \"bbox\": [320, 216, 339, 225]}, {\"cell\": \"0.933\", \"bbox\": [389, 216, 408, 225]}, {\"cell\": \"<0.001\", \"bbox\": [457, 216, 481, 225]}, {\"cell\": \" TNF-α\", \"bbox\": [5, 228, 26, 237]}, {\"cell\": \"0.0020\", \"bbox\": [84, 228, 107, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 228, 177, 237]}, {\"cell\": \"0.076\", \"bbox\": [208, 228, 227, 237]}, {\"cell\": \"0.68–0.98\", \"bbox\": [257, 228, 289, 237]}, {\"cell\": \"0.833\", \"bbox\": [320, 228, 339, 237]}, {\"cell\": \"0.833\", \"bbox\": [389, 228, 408, 237]}, {\"cell\": \"0.001\", \"bbox\": [462, 228, 481, 237]}, {\"cell\": \" IL-1β\", \"bbox\": [5, 240, 23, 249]}, {\"cell\": \"0.0043\", \"bbox\": [84, 240, 107, 249]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 240, 177, 249]}, {\"cell\": \"0.081\", \"bbox\": [208, 240, 227, 249]}, {\"cell\": \"0.58–0.90\", \"bbox\": [257, 240, 289, 249]}, {\"cell\": \"0.667\", \"bbox\": [320, 240, 339, 249]}, {\"cell\": \"0.700\", \"bbox\": [389, 240, 408, 249]}, {\"cell\": \"0.018\", \"bbox\": [462, 240, 481, 249]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4855332_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Analysis unitDescriptionArea in 1911 (ha)Area in 2012 (ha)
BaselineSC1SC2
Productive forested land
1Fir53714326[EMPTY_CELL]4830
2Fir–cedar1048760[EMPTY_CELL]964
3Fir–hemlock/Grand fir/Sitka Spruce10971479[EMPTY_CELL]1075
4Fir–alder/maple/poplar/arbutus9357[EMPTY_CELL]57
5Cedar leading with conifer mix3548[EMPTY_CELL]55
6Hemlock56[EMPTY_CELL]6
7Hemlock–Fir217247[EMPTY_CELL]258
8Hemlock–cedar3334[EMPTY_CELL]43
9Broadleaf greater than 75% composition820[EMPTY_CELL]34
10Alder–conifer mix1813[EMPTY_CELL]14
Total784172907833[EMPTY_CELL]
Non-forest land
Sooke Lake/reservoir373 (49%)813 (62%)373 (49%)[EMPTY_CELL]
Other un-established/non-forest land382 (51%)492 (38%)389 (51%)[EMPTY_CELL]
Total7541305a762[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Analysis unit\", \"bbox\": [1, 4, 47, 14]}, {\"cell\": \"Description\", \"bbox\": [139, 4, 182, 14]}, {\"cell\": \"Area in 1911 (ha)\", \"bbox\": [283, 4, 343, 14]}, {\"cell\": \"Area in 2012 (ha)\", \"bbox\": [357, 4, 417, 14]}, {\"cell\": \"Baseline\", \"bbox\": [357, 20, 388, 30]}, {\"cell\": \"SC1\", \"bbox\": [404, 20, 419, 30]}, {\"cell\": \"SC2\", \"bbox\": [451, 20, 466, 30]}, {\"cell\": \"Productive forested land\", \"bbox\": [1, 38, 80, 48]}, {\"cell\": \" 1\", \"bbox\": [5, 50, 11, 60]}, {\"cell\": \"Fir\", \"bbox\": [139, 50, 149, 60]}, {\"cell\": \"5371\", \"bbox\": [283, 50, 301, 60]}, {\"cell\": \"4326\", \"bbox\": [357, 50, 375, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 50, 421, 60]}, {\"cell\": \"4830\", \"bbox\": [451, 50, 468, 60]}, {\"cell\": \" 2\", \"bbox\": [5, 62, 11, 72]}, {\"cell\": \"Fir–cedar\", \"bbox\": [139, 62, 171, 72]}, {\"cell\": \"1048\", \"bbox\": [283, 62, 301, 72]}, {\"cell\": \"760\", \"bbox\": [357, 62, 371, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 62, 417, 72]}, {\"cell\": \"964\", \"bbox\": [451, 62, 464, 72]}, {\"cell\": \" 3\", \"bbox\": [5, 74, 11, 84]}, {\"cell\": \"Fir–hemlock/Grand fir/Sitka Spruce\", \"bbox\": [139, 74, 253, 84]}, {\"cell\": \"1097\", \"bbox\": [283, 74, 301, 84]}, {\"cell\": \"1479\", \"bbox\": [357, 74, 375, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 74, 421, 84]}, {\"cell\": \"1075\", \"bbox\": [451, 74, 468, 84]}, {\"cell\": \" 4\", \"bbox\": [5, 86, 11, 96]}, {\"cell\": \"Fir–alder/maple/poplar/arbutus\", \"bbox\": [139, 86, 243, 96]}, {\"cell\": \"9\", \"bbox\": [283, 86, 289, 96]}, {\"cell\": \"357\", \"bbox\": [357, 86, 371, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 86, 414, 96]}, {\"cell\": \"57\", \"bbox\": [451, 86, 460, 96]}, {\"cell\": \" 5\", \"bbox\": [5, 99, 11, 108]}, {\"cell\": \"Cedar leading with conifer mix\", \"bbox\": [139, 99, 239, 108]}, {\"cell\": \"35\", \"bbox\": [283, 99, 293, 108]}, {\"cell\": \"48\", \"bbox\": [357, 99, 367, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 99, 414, 108]}, {\"cell\": \"55\", \"bbox\": [451, 99, 460, 108]}, {\"cell\": \" 6\", \"bbox\": [5, 111, 11, 120]}, {\"cell\": \"Hemlock\", \"bbox\": [139, 111, 170, 120]}, {\"cell\": \"5\", \"bbox\": [283, 111, 289, 120]}, {\"cell\": \"6\", \"bbox\": [357, 111, 363, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 111, 414, 120]}, {\"cell\": \"6\", \"bbox\": [451, 111, 456, 120]}, {\"cell\": \" 7\", \"bbox\": [5, 123, 11, 132]}, {\"cell\": \"Hemlock–Fir\", \"bbox\": [139, 123, 181, 132]}, {\"cell\": \"217\", \"bbox\": [283, 123, 297, 132]}, {\"cell\": \"247\", \"bbox\": [357, 123, 371, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 123, 417, 132]}, {\"cell\": \"258\", \"bbox\": [451, 123, 464, 132]}, {\"cell\": \" 8\", \"bbox\": [5, 135, 11, 144]}, {\"cell\": \"Hemlock–cedar\", \"bbox\": [139, 135, 192, 144]}, {\"cell\": \"33\", \"bbox\": [283, 135, 293, 144]}, {\"cell\": \"34\", \"bbox\": [357, 135, 367, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 135, 413, 144]}, {\"cell\": \"43\", \"bbox\": [451, 135, 460, 144]}, {\"cell\": \" 9\", \"bbox\": [5, 147, 11, 156]}, {\"cell\": \"Broadleaf greater than 75% composition\", \"bbox\": [139, 147, 270, 156]}, {\"cell\": \"8\", \"bbox\": [283, 147, 289, 156]}, {\"cell\": \"20\", \"bbox\": [357, 147, 367, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 147, 413, 156]}, {\"cell\": \"34\", \"bbox\": [451, 147, 460, 156]}, {\"cell\": \" 10\", \"bbox\": [5, 159, 15, 168]}, {\"cell\": \"Alder–conifer mix\", \"bbox\": [139, 159, 198, 168]}, {\"cell\": \"18\", \"bbox\": [283, 159, 293, 168]}, {\"cell\": \"13\", \"bbox\": [357, 159, 367, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 159, 413, 168]}, {\"cell\": \"14\", \"bbox\": [450, 159, 460, 168]}, {\"cell\": \" Total\", \"bbox\": [5, 171, 22, 181]}, {\"cell\": \"7841\", \"bbox\": [283, 171, 301, 181]}, {\"cell\": \"7290\", \"bbox\": [357, 171, 374, 181]}, {\"cell\": \"7833\", \"bbox\": [404, 171, 421, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 171, 468, 181]}, {\"cell\": \"Non-forest land\", \"bbox\": [1, 183, 52, 193]}, {\"cell\": \" Sooke Lake/reservoir\", \"bbox\": [5, 195, 73, 205]}, {\"cell\": \"373 (49%)\", \"bbox\": [283, 195, 317, 205]}, {\"cell\": \"813 (62%)\", \"bbox\": [357, 195, 390, 205]}, {\"cell\": \"373 (49%)\", \"bbox\": [404, 195, 437, 205]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 195, 484, 205]}, {\"cell\": \" Other un-established/non-forest land\", \"bbox\": [5, 207, 126, 217]}, {\"cell\": \"382 (51%)\", \"bbox\": [283, 207, 317, 217]}, {\"cell\": \"492 (38%)\", \"bbox\": [357, 207, 390, 217]}, {\"cell\": \"389 (51%)\", \"bbox\": [404, 207, 437, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 207, 484, 217]}, {\"cell\": \" Total\", \"bbox\": [5, 220, 22, 229]}, {\"cell\": \"754\", \"bbox\": [283, 220, 297, 229]}, {\"cell\": \"1305a\", \"bbox\": [357, 218, 377, 229]}, {\"cell\": \"762\", \"bbox\": [404, 220, 417, 229]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [451, 220, 468, 229]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5509570_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Parameter/DataSymbolDistributionValue(mode)cvUnit
RK2 abundanceD0lognormal4.5[EMPTY_CELL]nM
KorA abundanceAtotlognormal1600 [18][EMPTY_CELL]nM
KorB abundanceBtotlognormal400 [28][EMPTY_CELL]nM
KorB abundance (mutant)BMtotlognormal920[EMPTY_CELL]nM
Scaling parameter for KorA synthesisπXuniform[0,1][EMPTY_CELL]-
Scaling parameter for KorB synthesisπYuniform[0,1][EMPTY_CELL]-
KorA synthesiskA--[EMPTY_CELL]s-1
KorB synthesiskB--[EMPTY_CELL]s-1
KorA affinity to DNAk1lognormal12.9 [18][EMPTY_CELL]nM
KorB affinity to DNAk2lognormal9.3 [22][EMPTY_CELL]nM
KorA affinity to KorB-DNAk3lognormal3.1[EMPTY_CELL]nM
KorB affinity to KorA-DNAk4lognormal3.1 [22][EMPTY_CELL]nM
KorA monomerizationσA--[EMPTY_CELL]s-1
KorB monomerizationσB--[EMPTY_CELL]s-1
KorA dimerizationλAlognormal0.001[EMPTY_CELL]nM-1s-1
KorB dimerizationλBlognormal0.001[EMPTY_CELL]nM-1s-1
Protein degradationγPlognormal0.0003875[EMPTY_CELL]s-1
\", \"cells\": [{\"cell\": \"Parameter/Data\", \"bbox\": [48, 4, 104, 13]}, {\"cell\": \"Symbol\", \"bbox\": [171, 4, 199, 13]}, {\"cell\": \"Distribution\", \"bbox\": [235, 4, 278, 13]}, {\"cell\": \"Value(mode)\", \"bbox\": [313, 4, 359, 13]}, {\"cell\": \"cv\", \"bbox\": [397, 4, 406, 13]}, {\"cell\": \"Unit\", \"bbox\": [448, 4, 465, 13]}, {\"cell\": \"RK2 abundance\", \"bbox\": [50, 17, 102, 27]}, {\"cell\": \"D0\", \"bbox\": [180, 17, 190, 27]}, {\"cell\": \"lognormal\", \"bbox\": [239, 17, 274, 27]}, {\"cell\": \"4.5\", \"bbox\": [330, 17, 341, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [396, 17, 407, 27]}, {\"cell\": \"nM\", \"bbox\": [450, 17, 463, 27]}, {\"cell\": \"KorA abundance\", \"bbox\": [48, 29, 104, 39]}, {\"cell\": \"Atot\", \"bbox\": [179, 29, 192, 39]}, {\"cell\": \"lognormal\", \"bbox\": [239, 29, 274, 39]}, {\"cell\": \"1600 [18]\", \"bbox\": [320, 29, 352, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [395, 29, 408, 39]}, {\"cell\": \"nM\", \"bbox\": [450, 29, 463, 39]}, {\"cell\": \"KorB abundance\", \"bbox\": [49, 41, 104, 51]}, {\"cell\": \"Btot\", \"bbox\": [179, 41, 192, 51]}, {\"cell\": \"lognormal\", \"bbox\": [239, 41, 274, 51]}, {\"cell\": \"400 [28]\", \"bbox\": [322, 41, 350, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [395, 41, 408, 51]}, {\"cell\": \"nM\", \"bbox\": [450, 41, 463, 51]}, {\"cell\": \"KorB abundance (mutant)\", \"bbox\": [34, 53, 118, 63]}, {\"cell\": \"BMtot\", \"bbox\": [176, 53, 195, 63]}, {\"cell\": \"lognormal\", \"bbox\": [239, 53, 274, 63]}, {\"cell\": \"920\", \"bbox\": [329, 53, 343, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [395, 53, 408, 63]}, {\"cell\": \"nM\", \"bbox\": [450, 53, 463, 63]}, {\"cell\": \"Scaling parameter for KorA synthesis\", \"bbox\": [16, 65, 136, 75]}, {\"cell\": \"πX\", \"bbox\": [181, 67, 190, 75]}, {\"cell\": \"uniform\", \"bbox\": [243, 65, 270, 75]}, {\"cell\": \"[0,1]\", \"bbox\": [328, 65, 343, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [399, 65, 404, 75]}, {\"cell\": \"-\", \"bbox\": [454, 65, 459, 75]}, {\"cell\": \"Scaling parameter for KorB synthesis\", \"bbox\": [17, 77, 136, 86]}, {\"cell\": \"πY\", \"bbox\": [181, 79, 190, 87]}, {\"cell\": \"uniform\", \"bbox\": [243, 77, 270, 86]}, {\"cell\": \"[0,1]\", \"bbox\": [328, 77, 343, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [399, 77, 404, 86]}, {\"cell\": \"-\", \"bbox\": [454, 77, 459, 86]}, {\"cell\": \"KorA synthesis\", \"bbox\": [52, 89, 100, 98]}, {\"cell\": \"kA\", \"bbox\": [181, 89, 190, 99]}, {\"cell\": \"-\", \"bbox\": [254, 89, 258, 98]}, {\"cell\": \"-\", \"bbox\": [334, 89, 338, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [399, 89, 404, 98]}, {\"cell\": \"s-1\", \"bbox\": [452, 87, 461, 98]}, {\"cell\": \"KorB synthesis\", \"bbox\": [52, 101, 100, 110]}, {\"cell\": \"kB\", \"bbox\": [181, 101, 189, 111]}, {\"cell\": \"-\", \"bbox\": [254, 101, 258, 110]}, {\"cell\": \"-\", \"bbox\": [334, 101, 338, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [399, 101, 404, 110]}, {\"cell\": \"s-1\", \"bbox\": [452, 99, 461, 110]}, {\"cell\": \"KorA affinity to DNA\", \"bbox\": [42, 113, 110, 122]}, {\"cell\": \"k1\", \"bbox\": [181, 113, 189, 123]}, {\"cell\": \"lognormal\", \"bbox\": [239, 113, 274, 122]}, {\"cell\": \"12.9 [18]\", \"bbox\": [321, 113, 350, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [395, 113, 408, 122]}, {\"cell\": \"nM\", \"bbox\": [450, 113, 463, 122]}, {\"cell\": \"KorB affinity to DNA\", \"bbox\": [43, 125, 110, 134]}, {\"cell\": \"k2\", \"bbox\": [181, 125, 189, 135]}, {\"cell\": \"lognormal\", \"bbox\": [239, 125, 274, 134]}, {\"cell\": \"9.3 [22]\", \"bbox\": [323, 125, 349, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [395, 125, 408, 134]}, {\"cell\": \"nM\", \"bbox\": [450, 125, 463, 134]}, {\"cell\": \"KorA affinity to KorB-DNA\", \"bbox\": [34, 137, 118, 146]}, {\"cell\": \"k3\", \"bbox\": [181, 137, 189, 147]}, {\"cell\": \"lognormal\", \"bbox\": [239, 137, 274, 146]}, {\"cell\": \"3.1\", \"bbox\": [330, 137, 341, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [395, 137, 408, 146]}, {\"cell\": \"nM\", \"bbox\": [450, 137, 463, 146]}, {\"cell\": \"KorB affinity to KorA-DNA\", \"bbox\": [34, 149, 118, 158]}, {\"cell\": \"k4\", \"bbox\": [181, 149, 189, 159]}, {\"cell\": \"lognormal\", \"bbox\": [239, 149, 274, 158]}, {\"cell\": \"3.1 [22]\", \"bbox\": [323, 149, 349, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [395, 149, 408, 158]}, {\"cell\": \"nM\", \"bbox\": [450, 149, 463, 158]}, {\"cell\": \"KorA monomerization\", \"bbox\": [40, 161, 112, 170]}, {\"cell\": \"σA\", \"bbox\": [180, 160, 190, 171]}, {\"cell\": \"-\", \"bbox\": [254, 161, 258, 170]}, {\"cell\": \"-\", \"bbox\": [334, 161, 338, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [399, 161, 404, 170]}, {\"cell\": \"s-1\", \"bbox\": [452, 159, 461, 170]}, {\"cell\": \"KorB monomerization\", \"bbox\": [40, 173, 112, 182]}, {\"cell\": \"σB\", \"bbox\": [181, 172, 190, 183]}, {\"cell\": \"-\", \"bbox\": [254, 173, 258, 182]}, {\"cell\": \"-\", \"bbox\": [334, 173, 338, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [399, 173, 404, 182]}, {\"cell\": \"s-1\", \"bbox\": [452, 171, 461, 182]}, {\"cell\": \"KorA dimerization\", \"bbox\": [47, 185, 106, 194]}, {\"cell\": \"λA\", \"bbox\": [180, 184, 190, 195]}, {\"cell\": \"lognormal\", \"bbox\": [239, 185, 274, 194]}, {\"cell\": \"0.001\", \"bbox\": [327, 185, 345, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [394, 185, 409, 194]}, {\"cell\": \"nM-1s-1\", \"bbox\": [444, 183, 469, 194]}, {\"cell\": \"KorB dimerization\", \"bbox\": [47, 197, 105, 206]}, {\"cell\": \"λB\", \"bbox\": [181, 196, 190, 207]}, {\"cell\": \"lognormal\", \"bbox\": [239, 197, 274, 206]}, {\"cell\": \"0.001\", \"bbox\": [327, 197, 345, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [394, 197, 409, 206]}, {\"cell\": \"nM-1s-1\", \"bbox\": [444, 195, 469, 206]}, {\"cell\": \"Protein degradation\", \"bbox\": [43, 208, 109, 218]}, {\"cell\": \"γP\", \"bbox\": [181, 208, 189, 219]}, {\"cell\": \"lognormal\", \"bbox\": [239, 208, 274, 218]}, {\"cell\": \"0.0003875\", \"bbox\": [319, 208, 353, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [394, 208, 409, 218]}, {\"cell\": \"s-1\", \"bbox\": [452, 207, 461, 218]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3199767_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
n(%), Mean ± SD, (n = 548)
VariablesSerum 25(OH)D levelsp value
Deficiency (<10.0 ng/ml) (n = 200)Insufficiency (≥10.0, <20.0 ng/ml) (n = 1,476)Sufficiency (≥20.0 ng/ml) (n = 620)
Age (years)20–3925 (12.5)[EMPTY_CELL]23 (3.7)<0.001
[EMPTY_CELL]40–5968 (34.0)[EMPTY_CELL]179 (28.9)[EMPTY_CELL]
[EMPTY_CELL]≥60107 (53.5)[EMPTY_CELL]418 (67.4)[EMPTY_CELL]
Current smoker7 (3.5)81 (5.5)[EMPTY_CELL]0.243
Alcohol drinker43 (21.5)422 (28.6)[EMPTY_CELL]0.08
Regular exercise9 (4.5)132 (8.9)[EMPTY_CELL]0.104
Current menstruation9 (4.5)55 (3.7)[EMPTY_CELL]0.007
Hormonal contraceptives41 (20.5)305 (20.7)[EMPTY_CELL]0.68
Hormone-replacement therapy7 (3.5)140 (9.5)[EMPTY_CELL]<0.001
BMI (kg/m2)26.18 ± 3.8026.18 ± 3.34[EMPTY_CELL]0.001
WM (cm)87.32 ± 9.0987.37 ± 7.88[EMPTY_CELL]0.914
SBP (mmHg)131.32 ± 18.37132.04 ± 17.41[EMPTY_CELL]0.729
DBP (mmHg)79.51 ± 11.0679.17 ± 10.21[EMPTY_CELL]0.205
AST (mg/dl)21.70 ± 8.7422.76 ± 9.20[EMPTY_CELL]0.149
ALT(mg/dl)21.03 ± 12.6822.06 ± 14.27[EMPTY_CELL]0.608
TC (mg/dl)200.41 ± 40.19202.01 ± 42.41[EMPTY_CELL]0.238
TGs (mg/dl)207.31 ± 109.42187.75 ± 119.22[EMPTY_CELL]<0.001
HDL-C (mg/dl)43.09 ± 8.7045.81 ± 9.70[EMPTY_CELL]0.001
FPG (mg/dl)117.72 ± 32.46110.45 ± 29.54[EMPTY_CELL]0.147
Ferritin (μg/L)59.07 ± 49.7864.88 ± 48.76[EMPTY_CELL]0.004
Fe (μg/dl)95.22 ± 37.3298.16 ± 36.18[EMPTY_CELL]0.533
TIBC (μg/dl)328.39 ± 54.82323.88 ± 45.68[EMPTY_CELL]0.043
TFS (%)29.86 ± 12.3530.88 ± 11.76[EMPTY_CELL]0.344
Hb (g/dl)13.18 ± 1.3213.31 ± 1.08[EMPTY_CELL]0.195
Hct (%)39.47 ± 3.3539.86 ± 2.87[EMPTY_CELL]0.169
\", \"cells\": [{\"cell\": \"n(%), Mean ± SD, (n = 548)\", \"bbox\": [403, 0, 499, 10]}, {\"cell\": \"Variables\", \"bbox\": [5, 23, 38, 32]}, {\"cell\": \"Serum 25(OH)D levels\", \"bbox\": [243, 13, 320, 22]}, {\"cell\": \"p value\", \"bbox\": [448, 23, 475, 32]}, {\"cell\": \"Deficiency (<10.0 ng/ml) (n = 200)\", \"bbox\": [143, 24, 229, 42]}, {\"cell\": \"Insufficiency (≥10.0, <20.0 ng/ml) (n = 1,476)\", \"bbox\": [239, 24, 324, 42]}, {\"cell\": \"Sufficiency (≥20.0 ng/ml) (n = 620)\", \"bbox\": [334, 24, 421, 42]}, {\"cell\": \"Age (years)\", \"bbox\": [5, 44, 46, 54]}, {\"cell\": \"20–39\", \"bbox\": [51, 44, 74, 54]}, {\"cell\": \"25 (12.5)\", \"bbox\": [170, 44, 202, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [266, 44, 298, 54]}, {\"cell\": \"23 (3.7)\", \"bbox\": [364, 44, 391, 54]}, {\"cell\": \"<0.001\", \"bbox\": [449, 44, 474, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"40–59\", \"bbox\": [52, 55, 74, 64]}, {\"cell\": \"68 (34.0)\", \"bbox\": [170, 55, 202, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [263, 55, 300, 64]}, {\"cell\": \"179 (28.9)\", \"bbox\": [359, 55, 396, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"≥60\", \"bbox\": [52, 65, 66, 75]}, {\"cell\": \"107 (53.5)\", \"bbox\": [167, 65, 204, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [263, 65, 300, 75]}, {\"cell\": \"418 (67.4)\", \"bbox\": [359, 65, 396, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Current smoker\", \"bbox\": [5, 76, 61, 85]}, {\"cell\": \"7 (3.5)\", \"bbox\": [174, 76, 197, 85]}, {\"cell\": \"81 (5.5)\", \"bbox\": [268, 76, 295, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 76, 391, 85]}, {\"cell\": \"0.243\", \"bbox\": [451, 76, 472, 85]}, {\"cell\": \"Alcohol drinker\", \"bbox\": [5, 86, 61, 96]}, {\"cell\": \"43 (21.5)\", \"bbox\": [170, 86, 202, 96]}, {\"cell\": \"422 (28.6)\", \"bbox\": [263, 86, 300, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [359, 86, 396, 96]}, {\"cell\": \"0.08\", \"bbox\": [453, 86, 470, 96]}, {\"cell\": \"Regular exercise\", \"bbox\": [5, 97, 63, 106]}, {\"cell\": \"9 (4.5)\", \"bbox\": [174, 97, 197, 106]}, {\"cell\": \"132 (8.9)\", \"bbox\": [266, 97, 298, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 97, 391, 106]}, {\"cell\": \"0.104\", \"bbox\": [451, 97, 472, 106]}, {\"cell\": \"Current menstruation\", \"bbox\": [5, 107, 82, 117]}, {\"cell\": \"9 (4.5)\", \"bbox\": [174, 107, 197, 117]}, {\"cell\": \"55 (3.7)\", \"bbox\": [268, 107, 295, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 107, 389, 117]}, {\"cell\": \"0.007\", \"bbox\": [451, 107, 472, 117]}, {\"cell\": \"Hormonal contraceptives\", \"bbox\": [5, 118, 94, 127]}, {\"cell\": \"41 (20.5)\", \"bbox\": [170, 118, 202, 127]}, {\"cell\": \"305 (20.7)\", \"bbox\": [263, 118, 300, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [359, 118, 396, 127]}, {\"cell\": \"0.68\", \"bbox\": [453, 118, 470, 127]}, {\"cell\": \"Hormone-replacement therapy\", \"bbox\": [5, 128, 115, 138]}, {\"cell\": \"7 (3.5)\", \"bbox\": [174, 128, 197, 138]}, {\"cell\": \"140 (9.5)\", \"bbox\": [266, 128, 298, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [362, 128, 394, 138]}, {\"cell\": \"<0.001\", \"bbox\": [449, 128, 474, 138]}, {\"cell\": \"BMI (kg/m2)\", \"bbox\": [5, 139, 47, 148]}, {\"cell\": \"26.18 ± 3.80\", \"bbox\": [162, 139, 205, 148]}, {\"cell\": \"26.18 ± 3.34\", \"bbox\": [258, 139, 301, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [354, 139, 397, 148]}, {\"cell\": \"0.001\", \"bbox\": [451, 139, 472, 148]}, {\"cell\": \"WM (cm)\", \"bbox\": [5, 149, 38, 159]}, {\"cell\": \"87.32 ± 9.09\", \"bbox\": [162, 149, 205, 159]}, {\"cell\": \"87.37 ± 7.88\", \"bbox\": [258, 149, 301, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [354, 149, 397, 159]}, {\"cell\": \"0.914\", \"bbox\": [451, 149, 472, 159]}, {\"cell\": \"SBP (mmHg)\", \"bbox\": [5, 160, 49, 169]}, {\"cell\": \"131.32 ± 18.37\", \"bbox\": [158, 160, 209, 169]}, {\"cell\": \"132.04 ± 17.41\", \"bbox\": [254, 160, 305, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [350, 160, 399, 169]}, {\"cell\": \"0.729\", \"bbox\": [451, 160, 472, 169]}, {\"cell\": \"DBP (mmHg)\", \"bbox\": [5, 171, 51, 180]}, {\"cell\": \"79.51 ± 11.06\", \"bbox\": [162, 171, 209, 180]}, {\"cell\": \"79.17 ± 10.21\", \"bbox\": [258, 171, 305, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [354, 171, 401, 180]}, {\"cell\": \"0.205\", \"bbox\": [451, 171, 472, 180]}, {\"cell\": \"AST (mg/dl)\", \"bbox\": [5, 181, 47, 190]}, {\"cell\": \"21.70 ± 8.74\", \"bbox\": [162, 181, 205, 190]}, {\"cell\": \"22.76 ± 9.20\", \"bbox\": [258, 181, 301, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [354, 181, 397, 190]}, {\"cell\": \"0.149\", \"bbox\": [451, 181, 472, 190]}, {\"cell\": \"ALT(mg/dl)\", \"bbox\": [5, 192, 45, 201]}, {\"cell\": \"21.03 ± 12.68\", \"bbox\": [162, 192, 209, 201]}, {\"cell\": \"22.06 ± 14.27\", \"bbox\": [258, 192, 305, 201]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [354, 192, 401, 201]}, {\"cell\": \"0.608\", \"bbox\": [451, 192, 472, 201]}, {\"cell\": \"TC (mg/dl)\", \"bbox\": [5, 202, 42, 211]}, {\"cell\": \"200.41 ± 40.19\", \"bbox\": [158, 202, 209, 211]}, {\"cell\": \"202.01 ± 42.41\", \"bbox\": [254, 202, 305, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [350, 202, 401, 211]}, {\"cell\": \"0.238\", \"bbox\": [451, 202, 472, 211]}, {\"cell\": \"TGs (mg/dl)\", \"bbox\": [5, 213, 46, 222]}, {\"cell\": \"207.31 ± 109.42\", \"bbox\": [158, 213, 213, 222]}, {\"cell\": \"187.75 ± 119.22\", \"bbox\": [254, 213, 309, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [350, 213, 401, 222]}, {\"cell\": \"<0.001\", \"bbox\": [449, 213, 474, 222]}, {\"cell\": \"HDL-C (mg/dl)\", \"bbox\": [5, 223, 55, 232]}, {\"cell\": \"43.09 ± 8.70\", \"bbox\": [162, 223, 205, 232]}, {\"cell\": \"45.81 ± 9.70\", \"bbox\": [258, 223, 301, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [354, 223, 401, 232]}, {\"cell\": \"0.001\", \"bbox\": [451, 223, 472, 232]}, {\"cell\": \"FPG (mg/dl)\", \"bbox\": [5, 234, 47, 243]}, {\"cell\": \"117.72 ± 32.46\", \"bbox\": [158, 234, 209, 243]}, {\"cell\": \"110.45 ± 29.54\", \"bbox\": [254, 234, 305, 243]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [350, 234, 401, 243]}, {\"cell\": \"0.147\", \"bbox\": [451, 234, 472, 243]}, {\"cell\": \"Ferritin (μg/L)\", \"bbox\": [5, 244, 54, 253]}, {\"cell\": \"59.07 ± 49.78\", \"bbox\": [162, 244, 209, 253]}, {\"cell\": \"64.88 ± 48.76\", \"bbox\": [258, 244, 305, 253]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [354, 244, 401, 253]}, {\"cell\": \"0.004\", \"bbox\": [451, 244, 472, 253]}, {\"cell\": \"Fe (μg/dl)\", \"bbox\": [5, 255, 39, 264]}, {\"cell\": \"95.22 ± 37.32\", \"bbox\": [162, 255, 209, 264]}, {\"cell\": \"98.16 ± 36.18\", \"bbox\": [258, 255, 305, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [354, 255, 401, 264]}, {\"cell\": \"0.533\", \"bbox\": [451, 255, 472, 264]}, {\"cell\": \"TIBC (μg/dl)\", \"bbox\": [5, 265, 47, 274]}, {\"cell\": \"328.39 ± 54.82\", \"bbox\": [158, 265, 209, 274]}, {\"cell\": \"323.88 ± 45.68\", \"bbox\": [254, 265, 305, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [350, 265, 401, 274]}, {\"cell\": \"0.043\", \"bbox\": [451, 265, 472, 274]}, {\"cell\": \"TFS (%)\", \"bbox\": [5, 276, 33, 285]}, {\"cell\": \"29.86 ± 12.35\", \"bbox\": [162, 276, 209, 285]}, {\"cell\": \"30.88 ± 11.76\", \"bbox\": [258, 276, 305, 285]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [354, 276, 401, 285]}, {\"cell\": \"0.344\", \"bbox\": [451, 276, 472, 285]}, {\"cell\": \"Hb (g/dl)\", \"bbox\": [5, 286, 37, 295]}, {\"cell\": \"13.18 ± 1.32\", \"bbox\": [162, 286, 205, 295]}, {\"cell\": \"13.31 ± 1.08\", \"bbox\": [258, 286, 301, 295]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [354, 286, 397, 295]}, {\"cell\": \"0.195\", \"bbox\": [451, 286, 472, 295]}, {\"cell\": \"Hct (%)\", \"bbox\": [5, 297, 33, 306]}, {\"cell\": \"39.47 ± 3.35\", \"bbox\": [162, 297, 205, 306]}, {\"cell\": \"39.86 ± 2.87\", \"bbox\": [258, 297, 301, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [354, 297, 397, 306]}, {\"cell\": \"0.169\", \"bbox\": [451, 297, 472, 306]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5525011_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
ParameterTumor (−), Hochuekkito (−)(n = 5)Tumor (−), Hochuekkito (+)(n = 5)Tumor (+), Hochuekkito (−)(n = 4)Tumor (+), Hochuekkito (+)(n = 4)
Carcass weight (g)[EMPTY_CELL]26.2 ± 0.2920.2 ± 2.3*24.2 ± 2.9††
Gastrocnemius muscle (mg)[EMPTY_CELL]128 ± 8.7115.7 ± 6.9**148.8 ± 8.9†
Fat tissue around testis (mg)[EMPTY_CELL]226.5 ± 7.332.2 ± 55.7*155.4 ± 77.9††
Hb (g/dL)[EMPTY_CELL]15.4 ± 113.5 ± 0.9**15.3 ± 1.6
Hct (%)[EMPTY_CELL]48.2 ± 2.741.7 ± 2.1*47.2 ± 5.1
Plt (×104/μL)[EMPTY_CELL]115.6 ± 20.138.3 ± 8.7*37.7 ± 13.6
Triglyceride (mg/dL)[EMPTY_CELL]115 ± 1416.8 ± 5.7*63.8 ± 9.5††
Glucose (mg/dL)[EMPTY_CELL]181.5 ± 22.361.7 ± 13.3*126.6 ± 56.5
\", \"cells\": [{\"cell\": \"Parameter\", \"bbox\": [2, 18, 41, 29]}, {\"cell\": \"Tumor (−), Hochuekkito (−)(n = 5)\", \"bbox\": [131, 9, 195, 41]}, {\"cell\": \"Tumor (−), Hochuekkito (+)(n = 5)\", \"bbox\": [237, 9, 300, 41]}, {\"cell\": \"Tumor (+), Hochuekkito (−)(n = 4)\", \"bbox\": [343, 9, 407, 41]}, {\"cell\": \"Tumor (+), Hochuekkito (+)(n = 4)\", \"bbox\": [435, 9, 498, 41]}, {\"cell\": \"Carcass weight (g)\", \"bbox\": [2, 44, 70, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [144, 45, 181, 56]}, {\"cell\": \"26.2 ± 0.29\", \"bbox\": [248, 45, 290, 56]}, {\"cell\": \"20.2 ± 2.3*\", \"bbox\": [353, 44, 395, 56]}, {\"cell\": \"24.2 ± 2.9††\", \"bbox\": [444, 44, 489, 56]}, {\"cell\": \"Gastrocnemius muscle (mg)\", \"bbox\": [2, 58, 106, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 59, 186, 70]}, {\"cell\": \"128 ± 8.7\", \"bbox\": [251, 59, 286, 70]}, {\"cell\": \"115.7 ± 6.9**\", \"bbox\": [349, 59, 400, 70]}, {\"cell\": \"148.8 ± 8.9†\", \"bbox\": [444, 59, 489, 70]}, {\"cell\": \"Fat tissue around testis (mg)\", \"bbox\": [2, 73, 106, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 74, 186, 85]}, {\"cell\": \"226.5 ± 7.3\", \"bbox\": [248, 74, 290, 85]}, {\"cell\": \"32.2 ± 55.7*\", \"bbox\": [351, 73, 398, 85]}, {\"cell\": \"155.4 ± 77.9††\", \"bbox\": [440, 73, 493, 85]}, {\"cell\": \"Hb (g/dL)\", \"bbox\": [2, 87, 41, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [144, 88, 181, 99]}, {\"cell\": \"15.4 ± 1\", \"bbox\": [253, 88, 284, 99]}, {\"cell\": \"13.5 ± 0.9**\", \"bbox\": [351, 88, 398, 99]}, {\"cell\": \"15.3 ± 1.6\", \"bbox\": [448, 88, 486, 99]}, {\"cell\": \"Hct (%)\", \"bbox\": [2, 102, 34, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [144, 103, 181, 114]}, {\"cell\": \"48.2 ± 2.7\", \"bbox\": [250, 103, 287, 114]}, {\"cell\": \"41.7 ± 2.1*\", \"bbox\": [353, 102, 395, 114]}, {\"cell\": \"47.2 ± 5.1\", \"bbox\": [448, 103, 486, 114]}, {\"cell\": \"Plt (×104/μL)\", \"bbox\": [2, 116, 54, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [142, 117, 184, 128]}, {\"cell\": \"115.6 ± 20.1\", \"bbox\": [245, 117, 292, 128]}, {\"cell\": \"38.3 ± 8.7*\", \"bbox\": [353, 117, 395, 128]}, {\"cell\": \"37.7 ± 13.6\", \"bbox\": [446, 117, 488, 128]}, {\"cell\": \"Triglyceride (mg/dL)\", \"bbox\": [2, 131, 79, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 132, 186, 143]}, {\"cell\": \"115 ± 14\", \"bbox\": [252, 132, 285, 143]}, {\"cell\": \"16.8 ± 5.7*\", \"bbox\": [353, 131, 395, 143]}, {\"cell\": \"63.8 ± 9.5††\", \"bbox\": [444, 131, 489, 143]}, {\"cell\": \"Glucose (mg/dL)\", \"bbox\": [2, 145, 66, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 146, 186, 157]}, {\"cell\": \"181.5 ± 22.3\", \"bbox\": [245, 146, 292, 157]}, {\"cell\": \"61.7 ± 13.3*\", \"bbox\": [351, 146, 398, 157]}, {\"cell\": \"126.6 ± 56.5\", \"bbox\": [444, 146, 490, 157]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3543823_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Rates (2010–2012)Multicentre studyHES emergency department*Rate ratio† (95% CI)HES admissionsRate ratio† (95% CI)
Total423.48275.27[EMPTY_CELL]290.220.69 (0.59 to 0.80)
Male282.85245.21[EMPTY_CELL]214.250.76 (0.63 to 0.90)
Female560.94304.97[EMPTY_CELL]364.310.65 (0.57 to 0.74)
0–24 years438.24278.58[EMPTY_CELL]260.240.59 (0.51 to 0.69)
25–34 years449.06249.55[EMPTY_CELL]311.330.69 (0.60 to 0.80)
35–54 years587.25425.27[EMPTY_CELL]465.960.79 (0.70 to 0.90)
55+ years126.2777.25[EMPTY_CELL]100.270.79 (0.61 to 1.03)
\", \"cells\": [{\"cell\": \"Rates (2010–2012)\", \"bbox\": [1, 5, 57, 27]}, {\"cell\": \"Multicentre study\", \"bbox\": [73, 5, 122, 27]}, {\"cell\": \"HES emergency department*\", \"bbox\": [148, 5, 218, 27]}, {\"cell\": \"Rate ratio† (95% CI)\", \"bbox\": [257, 5, 305, 27]}, {\"cell\": \"HES admissions\", \"bbox\": [346, 5, 397, 27]}, {\"cell\": \"Rate ratio† (95% CI)\", \"bbox\": [419, 5, 466, 27]}, {\"cell\": \"Total\", \"bbox\": [1, 31, 22, 42]}, {\"cell\": \"423.48\", \"bbox\": [73, 31, 102, 42]}, {\"cell\": \"275.27\", \"bbox\": [148, 31, 177, 42]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [257, 31, 332, 42]}, {\"cell\": \"290.22\", \"bbox\": [346, 31, 376, 42]}, {\"cell\": \"0.69 (0.59 to 0.80)\", \"bbox\": [419, 31, 494, 42]}, {\"cell\": \"Male\", \"bbox\": [1, 42, 22, 53]}, {\"cell\": \"282.85\", \"bbox\": [73, 42, 102, 53]}, {\"cell\": \"245.21\", \"bbox\": [148, 42, 177, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [257, 42, 332, 53]}, {\"cell\": \"214.25\", \"bbox\": [346, 42, 376, 53]}, {\"cell\": \"0.76 (0.63 to 0.90)\", \"bbox\": [419, 42, 494, 53]}, {\"cell\": \"Female\", \"bbox\": [1, 53, 32, 64]}, {\"cell\": \"560.94\", \"bbox\": [73, 53, 102, 64]}, {\"cell\": \"304.97\", \"bbox\": [148, 53, 177, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [257, 53, 332, 64]}, {\"cell\": \"364.31\", \"bbox\": [346, 53, 376, 64]}, {\"cell\": \"0.65 (0.57 to 0.74)\", \"bbox\": [419, 53, 494, 64]}, {\"cell\": \"0–24 years\", \"bbox\": [1, 64, 46, 75]}, {\"cell\": \"438.24\", \"bbox\": [73, 64, 102, 75]}, {\"cell\": \"278.58\", \"bbox\": [148, 64, 177, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [257, 64, 332, 75]}, {\"cell\": \"260.24\", \"bbox\": [346, 64, 376, 75]}, {\"cell\": \"0.59 (0.51 to 0.69)\", \"bbox\": [419, 64, 494, 75]}, {\"cell\": \"25–34 years\", \"bbox\": [1, 75, 51, 86]}, {\"cell\": \"449.06\", \"bbox\": [73, 75, 102, 86]}, {\"cell\": \"249.55\", \"bbox\": [148, 75, 177, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [257, 75, 332, 86]}, {\"cell\": \"311.33\", \"bbox\": [346, 75, 376, 86]}, {\"cell\": \"0.69 (0.60 to 0.80)\", \"bbox\": [419, 75, 494, 86]}, {\"cell\": \"35–54 years\", \"bbox\": [1, 86, 51, 97]}, {\"cell\": \"587.25\", \"bbox\": [73, 86, 102, 97]}, {\"cell\": \"425.27\", \"bbox\": [148, 86, 177, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [257, 86, 332, 97]}, {\"cell\": \"465.96\", \"bbox\": [346, 86, 376, 97]}, {\"cell\": \"0.79 (0.70 to 0.90)\", \"bbox\": [419, 86, 494, 97]}, {\"cell\": \"55+ years\", \"bbox\": [1, 97, 42, 108]}, {\"cell\": \"126.27\", \"bbox\": [73, 97, 102, 108]}, {\"cell\": \"77.25\", \"bbox\": [153, 97, 177, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [257, 97, 332, 108]}, {\"cell\": \"100.27\", \"bbox\": [346, 97, 376, 108]}, {\"cell\": \"0.79 (0.61 to 1.03)\", \"bbox\": [419, 97, 494, 108]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4762081_004_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
CaptionPM2.5PM10SO2NO2
[EMPTY_CELL]−0.512 (−1.24, 0.221)−0.301 (−0.892, 0.294)−1.149 (−2.420, 0.139)−1.540 (−3.690, 0.658)
[EMPTY_CELL]0.807 (0.051, 1.557) *0.612 (0.105, 1.117) *1.824 (−0.278, 3.969)3.467 (0.689, 6.167) *
[EMPTY_CELL]−0.681 (−1.834, 0.485)−0.369 (−1.130, 0.398)2.142 (0.204, 4.118) *−1.422 (−4.223, 1.460)
[EMPTY_CELL]0.199 (−0.355, 0.755)0.315 (−0.067, 0.700)2.407 (0.834, 4.004) *−1.230 (−3.470, 1.062)
[EMPTY_CELL]0.533 (−0.097, 1.167)0.373 (−0.017, 0.764)1.167 (−0.279, 2.633)1.939 (0.052, 3.924) *
[EMPTY_CELL]0.754 (0.182, 1.330) *0.624 (0.257, 0.993) *1.796 (0.666, 2.938) *1.652 (−0.781, 4.145)
[EMPTY_CELL]0.989 (−0.099, 2.090)0.650 (−0.143, 1.450)1.989 (−0.01, 4.029)3.134 (−0.101, 6.474)
[EMPTY_CELL]0.492 (−0.030, 1.016)−0.247 (−0.619, 0.127)1.235 (−0.256, 2.747)−1.928 (−3.946, 0.133)
[EMPTY_CELL]0.628 (0.141, 1.118) *0.404 (0.088, 0.722) *2.033 (0.817, 3.263) *0.752 (−0.535, 2.056)
[EMPTY_CELL]0.425 (−0.291, 1.146)0.391 (−0.076, 0.859)2.933 (0.609, 5.311) *2.715 (0.481, 4.998) *
[EMPTY_CELL]0.631 (−0.608, 1.886)0.574 (−0.329, 1.485)2.840 (−0.614, 6.413)2.175 (−1.222, 5.689)
[EMPTY_CELL]0.716 (−0.035, 1.473)0.271 (−0.165, 0.709)1.448 (−0.171, 3.094)0.851 (−1.346, 3.096)
[EMPTY_CELL]0.414 (−0.097, 0.929)0.360 (0.016, 0.706) *0.612 (−0.299, 1.532)0.744 (−0.755, 2.266)
[EMPTY_CELL]0.282 (−1.049, 1.631)−0.165 (−0.914, 0.590)−1.844 (−5.290, 1.727)−2.375 (−5.177, 0.510)
[EMPTY_CELL]0.732 (−0.185, 1.657)0.538 (−0.092, 1.173)2.216 (−0.314, 4.809)1.011 (−0.993, 3.056)
[EMPTY_CELL]0.747 (0.041, 1.457) *0.501 (0.026, 0.979) *1.279 (−0.346, 2.931)2.034 (−0.571, 4.707)
[EMPTY_CELL]0.627 (−0.084, 1.343)0.329 (−0.200, 0.862)1.050 (0.027, 2.082) *1.096 (−1.001, 3.238)
\", \"cells\": [{\"cell\": \"Caption\", \"bbox\": [15, 4, 40, 12]}, {\"cell\": \"PM2.5\", \"bbox\": [88, 4, 106, 12]}, {\"cell\": \"PM10\", \"bbox\": [175, 4, 192, 12]}, {\"cell\": \"SO2\", \"bbox\": [264, 4, 278, 12]}, {\"cell\": \"NO2\", \"bbox\": [353, 4, 368, 12]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 15, 40, 23]}, {\"cell\": \"−0.512 (−1.24, 0.221)\", \"bbox\": [67, 15, 127, 23]}, {\"cell\": \"−0.301 (−0.892, 0.294)\", \"bbox\": [152, 15, 216, 23]}, {\"cell\": \"−1.149 (−2.420, 0.139)\", \"bbox\": [239, 15, 303, 23]}, {\"cell\": \"−1.540 (−3.690, 0.658)\", \"bbox\": [329, 15, 393, 23]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 22, 39, 31]}, {\"cell\": \"0.807 (0.051, 1.557) *\", \"bbox\": [68, 22, 126, 31]}, {\"cell\": \"0.612 (0.105, 1.117) *\", \"bbox\": [155, 22, 213, 31]}, {\"cell\": \"1.824 (−0.278, 3.969)\", \"bbox\": [242, 22, 300, 31]}, {\"cell\": \"3.467 (0.689, 6.167) *\", \"bbox\": [332, 22, 389, 31]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 30, 42, 38]}, {\"cell\": \"−0.681 (−1.834, 0.485)\", \"bbox\": [65, 30, 129, 38]}, {\"cell\": \"−0.369 (−1.130, 0.398)\", \"bbox\": [152, 30, 216, 38]}, {\"cell\": \"2.142 (0.204, 4.118) *\", \"bbox\": [242, 30, 300, 38]}, {\"cell\": \"−1.422 (−4.223, 1.460)\", \"bbox\": [329, 30, 393, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [19, 38, 36, 46]}, {\"cell\": \"0.199 (−0.355, 0.755)\", \"bbox\": [68, 38, 126, 46]}, {\"cell\": \"0.315 (−0.067, 0.700)\", \"bbox\": [155, 38, 213, 46]}, {\"cell\": \"2.407 (0.834, 4.004) *\", \"bbox\": [242, 38, 300, 46]}, {\"cell\": \"−1.230 (−3.470, 1.062)\", \"bbox\": [329, 38, 393, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [19, 45, 36, 54]}, {\"cell\": \"0.533 (−0.097, 1.167)\", \"bbox\": [68, 45, 126, 54]}, {\"cell\": \"0.373 (−0.017, 0.764)\", \"bbox\": [155, 45, 213, 54]}, {\"cell\": \"1.167 (−0.279, 2.633)\", \"bbox\": [242, 45, 300, 54]}, {\"cell\": \"1.939 (0.052, 3.924) *\", \"bbox\": [332, 45, 389, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [18, 53, 37, 61]}, {\"cell\": \"0.754 (0.182, 1.330) *\", \"bbox\": [68, 53, 126, 61]}, {\"cell\": \"0.624 (0.257, 0.993) *\", \"bbox\": [155, 53, 213, 61]}, {\"cell\": \"1.796 (0.666, 2.938) *\", \"bbox\": [242, 53, 300, 61]}, {\"cell\": \"1.652 (−0.781, 4.145)\", \"bbox\": [331, 53, 390, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [18, 61, 37, 69]}, {\"cell\": \"0.989 (−0.099, 2.090)\", \"bbox\": [68, 61, 126, 69]}, {\"cell\": \"0.650 (−0.143, 1.450)\", \"bbox\": [155, 61, 213, 69]}, {\"cell\": \"1.989 (−0.01, 4.029)\", \"bbox\": [243, 61, 299, 69]}, {\"cell\": \"3.134 (−0.101, 6.474)\", \"bbox\": [331, 61, 390, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 69, 43, 77]}, {\"cell\": \"0.492 (−0.030, 1.016)\", \"bbox\": [68, 69, 126, 77]}, {\"cell\": \"−0.247 (−0.619, 0.127)\", \"bbox\": [152, 69, 216, 77]}, {\"cell\": \"1.235 (−0.256, 2.747)\", \"bbox\": [242, 69, 300, 77]}, {\"cell\": \"−1.928 (−3.946, 0.133)\", \"bbox\": [329, 69, 393, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [19, 76, 36, 85]}, {\"cell\": \"0.628 (0.141, 1.118) *\", \"bbox\": [68, 76, 126, 85]}, {\"cell\": \"0.404 (0.088, 0.722) *\", \"bbox\": [155, 76, 213, 85]}, {\"cell\": \"2.033 (0.817, 3.263) *\", \"bbox\": [242, 76, 300, 85]}, {\"cell\": \"0.752 (−0.535, 2.056)\", \"bbox\": [331, 76, 390, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 84, 41, 92]}, {\"cell\": \"0.425 (−0.291, 1.146)\", \"bbox\": [68, 84, 126, 92]}, {\"cell\": \"0.391 (−0.076, 0.859)\", \"bbox\": [155, 84, 213, 92]}, {\"cell\": \"2.933 (0.609, 5.311) *\", \"bbox\": [242, 84, 300, 92]}, {\"cell\": \"2.715 (0.481, 4.998) *\", \"bbox\": [332, 84, 389, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [17, 92, 38, 100]}, {\"cell\": \"0.631 (−0.608, 1.886)\", \"bbox\": [68, 92, 126, 100]}, {\"cell\": \"0.574 (−0.329, 1.485)\", \"bbox\": [155, 92, 213, 100]}, {\"cell\": \"2.840 (−0.614, 6.413)\", \"bbox\": [242, 92, 300, 100]}, {\"cell\": \"2.175 (−1.222, 5.689)\", \"bbox\": [331, 92, 390, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [19, 99, 36, 108]}, {\"cell\": \"0.716 (−0.035, 1.473)\", \"bbox\": [68, 99, 126, 108]}, {\"cell\": \"0.271 (−0.165, 0.709)\", \"bbox\": [155, 99, 213, 108]}, {\"cell\": \"1.448 (−0.171, 3.094)\", \"bbox\": [242, 99, 300, 108]}, {\"cell\": \"0.851 (−1.346, 3.096)\", \"bbox\": [331, 99, 390, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 107, 40, 115]}, {\"cell\": \"0.414 (−0.097, 0.929)\", \"bbox\": [68, 107, 126, 115]}, {\"cell\": \"0.360 (0.016, 0.706) *\", \"bbox\": [155, 107, 213, 115]}, {\"cell\": \"0.612 (−0.299, 1.532)\", \"bbox\": [242, 107, 300, 115]}, {\"cell\": \"0.744 (−0.755, 2.266)\", \"bbox\": [331, 107, 390, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [17, 115, 38, 123]}, {\"cell\": \"0.282 (−1.049, 1.631)\", \"bbox\": [68, 115, 126, 123]}, {\"cell\": \"−0.165 (−0.914, 0.590)\", \"bbox\": [152, 115, 216, 123]}, {\"cell\": \"−1.844 (−5.290, 1.727)\", \"bbox\": [239, 115, 303, 123]}, {\"cell\": \"−2.375 (−5.177, 0.510)\", \"bbox\": [329, 115, 393, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [18, 122, 37, 131]}, {\"cell\": \"0.732 (−0.185, 1.657)\", \"bbox\": [68, 122, 126, 131]}, {\"cell\": \"0.538 (−0.092, 1.173)\", \"bbox\": [155, 122, 213, 131]}, {\"cell\": \"2.216 (−0.314, 4.809)\", \"bbox\": [242, 122, 300, 131]}, {\"cell\": \"1.011 (−0.993, 3.056)\", \"bbox\": [331, 122, 390, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 130, 44, 139]}, {\"cell\": \"0.747 (0.041, 1.457) *\", \"bbox\": [68, 130, 126, 139]}, {\"cell\": \"0.501 (0.026, 0.979) *\", \"bbox\": [155, 130, 213, 139]}, {\"cell\": \"1.279 (−0.346, 2.931)\", \"bbox\": [242, 130, 300, 139]}, {\"cell\": \"2.034 (−0.571, 4.707)\", \"bbox\": [331, 130, 390, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [20, 138, 35, 146]}, {\"cell\": \"0.627 (−0.084, 1.343)\", \"bbox\": [68, 138, 126, 146]}, {\"cell\": \"0.329 (−0.200, 0.862)\", \"bbox\": [155, 138, 213, 146]}, {\"cell\": \"1.050 (0.027, 2.082) *\", \"bbox\": [242, 138, 300, 146]}, {\"cell\": \"1.096 (−1.001, 3.238)\", \"bbox\": [331, 138, 390, 146]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5923816_011_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariablesNew admissionsTotal inpatient daysInvoluntary inpatient days
Regression coefficient (SE)p-valueRegression coefficient (SE)p-valueRegression coefficient (SE)p-value
Problematic substance use (Y/N)0.35 (0.91)0.698−113.00 (151.19)0.45656.30 (30.21)[EMPTY_CELL]
BPRS Positive symptoms0.35 (0.45)0.439−11.01 (16.23)0.499−13.93 (14.78)[EMPTY_CELL]
BPRS negative symptoms−0.45 (0.38)0.23019.83 (13.97)0.15917.70 (12.71)[EMPTY_CELL]
BPRS agitation mania0.56 (0.51)0.277−34.80 (19.49)0.077−35.55 (17.35)[EMPTY_CELL]
BPRS anxiety/depressive symptoms−0.88 (0.43)0.042−20.58 (15.24)0.180−19.15 (14.18)[EMPTY_CELL]
GAF-S0.16 (0.07)0.0273.46 (3.38)0.308−2.45 (2.36)[EMPTY_CELL]
GAF-F−0.12 (0.08)0.151−9.18 (4.38)0.037−0.68 (2.80)[EMPTY_CELL]
PSF––15.02 (11.40)0.1918.68 (10.16)[EMPTY_CELL]
Age0.01 (0.04)0.819−1.95 (1.56)0.214−0.46 (1.45)[EMPTY_CELL]
Gender−0.58 (0.89)0.51451.78 (32.46)0.11453.40 (29.41)[EMPTY_CELL]
Problematic substance use*GAF-S[EMPTY_CELL][EMPTY_CELL]−8.25 (4.52)0.071*[EMPTY_CELL][EMPTY_CELL]
Problematic substance use*GAF-F[EMPTY_CELL][EMPTY_CELL]12.31 (5.77)0.035*[EMPTY_CELL][EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Variables\", \"bbox\": [1, 4, 30, 13]}, {\"cell\": \"New admissions\", \"bbox\": [121, 4, 175, 13]}, {\"cell\": \"Total inpatient days\", \"bbox\": [244, 4, 309, 13]}, {\"cell\": \"Involuntary inpatient days\", \"bbox\": [368, 4, 453, 13]}, {\"cell\": \"Regression coefficient (SE)\", \"bbox\": [121, 17, 207, 27]}, {\"cell\": \"p-value\", \"bbox\": [213, 17, 238, 27]}, {\"cell\": \"Regression coefficient (SE)\", \"bbox\": [244, 17, 330, 27]}, {\"cell\": \"p-value\", \"bbox\": [336, 17, 361, 27]}, {\"cell\": \"Regression coefficient (SE)\", \"bbox\": [368, 17, 453, 27]}, {\"cell\": \"p-value\", \"bbox\": [459, 17, 484, 27]}, {\"cell\": \"Problematic substance use (Y/N)\", \"bbox\": [1, 30, 106, 40]}, {\"cell\": \"0.35 (0.91)\", \"bbox\": [149, 30, 183, 40]}, {\"cell\": \"0.698\", \"bbox\": [216, 30, 235, 40]}, {\"cell\": \"−113.00 (151.19)\", \"bbox\": [260, 30, 314, 40]}, {\"cell\": \"0.456\", \"bbox\": [338, 30, 357, 40]}, {\"cell\": \"56.30 (30.21)\", \"bbox\": [392, 30, 434, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 30, 481, 40]}, {\"cell\": \"BPRS Positive symptoms\", \"bbox\": [1, 44, 80, 54]}, {\"cell\": \"0.35 (0.45)\", \"bbox\": [149, 44, 183, 54]}, {\"cell\": \"0.439\", \"bbox\": [216, 44, 235, 54]}, {\"cell\": \"−11.01 (16.23)\", \"bbox\": [264, 44, 310, 54]}, {\"cell\": \"0.499\", \"bbox\": [338, 44, 357, 54]}, {\"cell\": \"−13.93 (14.78)\", \"bbox\": [387, 44, 434, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 44, 481, 54]}, {\"cell\": \"BPRS negative symptoms\", \"bbox\": [1, 58, 84, 68]}, {\"cell\": \"−0.45 (0.38)\", \"bbox\": [145, 58, 183, 68]}, {\"cell\": \"0.230\", \"bbox\": [216, 58, 235, 68]}, {\"cell\": \"19.83 (13.97)\", \"bbox\": [269, 58, 310, 68]}, {\"cell\": \"0.159\", \"bbox\": [338, 58, 357, 68]}, {\"cell\": \"17.70 (12.71)\", \"bbox\": [392, 58, 434, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 58, 481, 68]}, {\"cell\": \"BPRS agitation mania\", \"bbox\": [1, 72, 71, 82]}, {\"cell\": \"0.56 (0.51)\", \"bbox\": [149, 72, 183, 82]}, {\"cell\": \"0.277\", \"bbox\": [216, 72, 235, 82]}, {\"cell\": \"−34.80 (19.49)\", \"bbox\": [264, 72, 310, 82]}, {\"cell\": \"0.077\", \"bbox\": [338, 72, 357, 82]}, {\"cell\": \"−35.55 (17.35)\", \"bbox\": [387, 72, 434, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 72, 481, 82]}, {\"cell\": \"BPRS anxiety/depressive symptoms\", \"bbox\": [1, 86, 115, 96]}, {\"cell\": \"−0.88 (0.43)\", \"bbox\": [145, 86, 183, 96]}, {\"cell\": \"0.042\", \"bbox\": [216, 86, 235, 96]}, {\"cell\": \"−20.58 (15.24)\", \"bbox\": [264, 86, 310, 96]}, {\"cell\": \"0.180\", \"bbox\": [338, 86, 357, 96]}, {\"cell\": \"−19.15 (14.18)\", \"bbox\": [387, 86, 434, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 86, 481, 96]}, {\"cell\": \"GAF-S\", \"bbox\": [1, 100, 22, 110]}, {\"cell\": \"0.16 (0.07)\", \"bbox\": [149, 100, 183, 110]}, {\"cell\": \"0.027\", \"bbox\": [216, 100, 235, 110]}, {\"cell\": \"3.46 (3.38)\", \"bbox\": [272, 100, 307, 110]}, {\"cell\": \"0.308\", \"bbox\": [338, 100, 357, 110]}, {\"cell\": \"−2.45 (2.36)\", \"bbox\": [391, 100, 430, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 100, 481, 110]}, {\"cell\": \"GAF-F\", \"bbox\": [1, 114, 22, 124]}, {\"cell\": \"−0.12 (0.08)\", \"bbox\": [145, 114, 183, 124]}, {\"cell\": \"0.151\", \"bbox\": [216, 114, 235, 124]}, {\"cell\": \"−9.18 (4.38)\", \"bbox\": [268, 114, 307, 124]}, {\"cell\": \"0.037\", \"bbox\": [338, 114, 357, 124]}, {\"cell\": \"−0.68 (2.80)\", \"bbox\": [391, 114, 430, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 114, 481, 124]}, {\"cell\": \"PSF\", \"bbox\": [1, 128, 14, 138]}, {\"cell\": \"–\", \"bbox\": [121, 132, 127, 136]}, {\"cell\": \"–\", \"bbox\": [213, 132, 219, 136]}, {\"cell\": \"15.02 (11.40)\", \"bbox\": [269, 128, 310, 138]}, {\"cell\": \"0.191\", \"bbox\": [338, 128, 357, 138]}, {\"cell\": \"8.68 (10.16)\", \"bbox\": [396, 128, 434, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 128, 481, 138]}, {\"cell\": \"Age\", \"bbox\": [1, 142, 15, 152]}, {\"cell\": \"0.01 (0.04)\", \"bbox\": [149, 142, 183, 152]}, {\"cell\": \"0.819\", \"bbox\": [216, 142, 235, 152]}, {\"cell\": \"−1.95 (1.56)\", \"bbox\": [268, 142, 307, 152]}, {\"cell\": \"0.214\", \"bbox\": [338, 142, 357, 152]}, {\"cell\": \"−0.46 (1.45)\", \"bbox\": [391, 142, 430, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 142, 481, 152]}, {\"cell\": \"Gender\", \"bbox\": [1, 156, 26, 166]}, {\"cell\": \"−0.58 (0.89)\", \"bbox\": [145, 156, 183, 166]}, {\"cell\": \"0.514\", \"bbox\": [216, 156, 235, 166]}, {\"cell\": \"51.78 (32.46)\", \"bbox\": [269, 156, 310, 166]}, {\"cell\": \"0.114\", \"bbox\": [338, 156, 357, 166]}, {\"cell\": \"53.40 (29.41)\", \"bbox\": [392, 156, 434, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 156, 481, 166]}, {\"cell\": \"Problematic substance use*GAF-S\", \"bbox\": [1, 170, 110, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−8.25 (4.52)\", \"bbox\": [268, 170, 307, 180]}, {\"cell\": \"0.071*\", \"bbox\": [338, 170, 360, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Problematic substance use*GAF-F\", \"bbox\": [1, 184, 110, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"12.31 (5.77)\", \"bbox\": [269, 184, 307, 194]}, {\"cell\": \"0.035*\", \"bbox\": [338, 184, 360, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4855443_006_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Licensed within 12 months of state minimum ageLicensed before 18th birthday
[EMPTY_CELL]Unadjusted %Adjusted prevalence ratio* (95% CI)Unadjusted %Adjusted prevalence ratio* (95% CI)
[EMPTY_CELL]44[EMPTY_CELL]54[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]451 [Reference]561 [Reference]
[EMPTY_CELL]421.01 (0.80–1.27)520.95 (0.79–1.15)
[EMPTY_CELL]451.09 (0.88–1.35)531.02 (0.86–1.21)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]421 [Reference]511 [Reference]
[EMPTY_CELL]461.01 (0.84–1.21)571.05 (0.91–1.22)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]481 [Reference]501 [Reference]
[EMPTY_CELL]561.21 (0.95–1.54)681.48 (1.19–1.85)
[EMPTY_CELL]381.01 (0.77–1.32)511.30 (1.03–1.63)
[EMPTY_CELL]390.98 (0.74–1.29)491.23 (0.97–1.55)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]571 [Reference]691 [Reference]
[EMPTY_CELL]420.87 (0.63–1.20)500.82 (0.64–1.05)
[EMPTY_CELL]450.84 (0.62–1.15)560.84 (0.66–1.07)
[EMPTY_CELL]470.97 (0.71–1.33)540.89 (0.70–1.14)
[EMPTY_CELL]340.80 (0.56–1.14)480.86 (0.67–1.11)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]160.28 (0.17–0.47)250.37 (0.25–0.55)
[EMPTY_CELL]270.50 (0.36–0.71)340.54 (0.41–0.70)
[EMPTY_CELL]440.72 (0.54–0.95)520.68 (0.54–0.85)
[EMPTY_CELL]520.81 (0.65–1.01)640.81 (0.68–0.96)
[EMPTY_CELL]671 [Reference]791 [Reference]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]561 [Reference]671 [Reference]
[EMPTY_CELL]240.57 (0.36–0.90)370.67 (0.48–0.93)
[EMPTY_CELL]460.94 (0.69–1.28)510.87 (0.67–1.13)
[EMPTY_CELL]210.57 (0.38–0.87)290.60 (0.45–0.81)
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Licensed within 12 months of state minimum age\", \"bbox\": [171, 4, 295, 22]}, {\"cell\": \"Licensed before 18th birthday\", \"bbox\": [339, 2, 444, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Unadjusted %\", \"bbox\": [171, 35, 221, 45]}, {\"cell\": \"Adjusted prevalence ratio* (95% CI)\", \"bbox\": [243, 26, 317, 45]}, {\"cell\": \"Unadjusted %\", \"bbox\": [339, 35, 389, 45]}, {\"cell\": \"Adjusted prevalence ratio* (95% CI)\", \"bbox\": [411, 26, 484, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 48, 58, 58]}, {\"cell\": \"44\", \"bbox\": [171, 48, 180, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"54\", \"bbox\": [339, 48, 348, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 62, 41, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 76, 52, 86]}, {\"cell\": \"45\", \"bbox\": [171, 76, 180, 86]}, {\"cell\": \"1 [Reference]\", \"bbox\": [243, 76, 287, 86]}, {\"cell\": \"56\", \"bbox\": [339, 76, 348, 86]}, {\"cell\": \"1 [Reference]\", \"bbox\": [411, 76, 455, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 90, 52, 100]}, {\"cell\": \"42\", \"bbox\": [171, 90, 180, 100]}, {\"cell\": \"1.01 (0.80–1.27)\", \"bbox\": [243, 90, 294, 100]}, {\"cell\": \"52\", \"bbox\": [339, 90, 348, 100]}, {\"cell\": \"0.95 (0.79–1.15)\", \"bbox\": [411, 90, 462, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 104, 52, 114]}, {\"cell\": \"45\", \"bbox\": [171, 104, 180, 114]}, {\"cell\": \"1.09 (0.88–1.35)\", \"bbox\": [243, 104, 294, 114]}, {\"cell\": \"53\", \"bbox\": [339, 104, 348, 114]}, {\"cell\": \"1.02 (0.86–1.21)\", \"bbox\": [411, 104, 462, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 118, 15, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 132, 60, 142]}, {\"cell\": \"42\", \"bbox\": [171, 132, 180, 142]}, {\"cell\": \"1 [Reference]\", \"bbox\": [243, 132, 287, 142]}, {\"cell\": \"51\", \"bbox\": [339, 132, 348, 142]}, {\"cell\": \"1 [Reference]\", \"bbox\": [411, 132, 455, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 146, 68, 156]}, {\"cell\": \"46\", \"bbox\": [171, 146, 180, 156]}, {\"cell\": \"1.01 (0.84–1.21)\", \"bbox\": [243, 146, 294, 156]}, {\"cell\": \"57\", \"bbox\": [339, 146, 348, 156]}, {\"cell\": \"1.05 (0.91–1.22)\", \"bbox\": [411, 146, 462, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 160, 52, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 174, 76, 184]}, {\"cell\": \"48\", \"bbox\": [171, 174, 180, 184]}, {\"cell\": \"1 [Reference]\", \"bbox\": [243, 174, 287, 184]}, {\"cell\": \"50\", \"bbox\": [339, 174, 348, 184]}, {\"cell\": \"1 [Reference]\", \"bbox\": [411, 174, 455, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 188, 72, 198]}, {\"cell\": \"56\", \"bbox\": [171, 188, 180, 198]}, {\"cell\": \"1.21 (0.95–1.54)\", \"bbox\": [243, 188, 294, 198]}, {\"cell\": \"68\", \"bbox\": [339, 188, 348, 198]}, {\"cell\": \"1.48 (1.19–1.85)\", \"bbox\": [411, 188, 462, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 202, 63, 212]}, {\"cell\": \"38\", \"bbox\": [171, 202, 180, 212]}, {\"cell\": \"1.01 (0.77–1.32)\", \"bbox\": [243, 202, 294, 212]}, {\"cell\": \"51\", \"bbox\": [339, 202, 348, 212]}, {\"cell\": \"1.30 (1.03–1.63)\", \"bbox\": [411, 202, 462, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 216, 60, 226]}, {\"cell\": \"39\", \"bbox\": [171, 216, 180, 226]}, {\"cell\": \"0.98 (0.74–1.29)\", \"bbox\": [243, 216, 294, 226]}, {\"cell\": \"49\", \"bbox\": [339, 216, 348, 226]}, {\"cell\": \"1.23 (0.97–1.55)\", \"bbox\": [411, 216, 462, 226]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 229, 103, 240]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 244, 104, 254]}, {\"cell\": \"57\", \"bbox\": [171, 244, 180, 254]}, {\"cell\": \"1 [Reference]\", \"bbox\": [243, 244, 287, 254]}, {\"cell\": \"69\", \"bbox\": [339, 244, 348, 254]}, {\"cell\": \"1 [Reference]\", \"bbox\": [411, 244, 455, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 258, 81, 268]}, {\"cell\": \"42\", \"bbox\": [171, 258, 180, 268]}, {\"cell\": \"0.87 (0.63–1.20)\", \"bbox\": [243, 258, 294, 268]}, {\"cell\": \"50\", \"bbox\": [339, 258, 348, 268]}, {\"cell\": \"0.82 (0.64–1.05)\", \"bbox\": [411, 258, 462, 268]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 272, 108, 282]}, {\"cell\": \"45\", \"bbox\": [171, 272, 180, 282]}, {\"cell\": \"0.84 (0.62–1.15)\", \"bbox\": [243, 272, 294, 282]}, {\"cell\": \"56\", \"bbox\": [339, 272, 348, 282]}, {\"cell\": \"0.84 (0.66–1.07)\", \"bbox\": [411, 272, 462, 282]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 286, 75, 296]}, {\"cell\": \"47\", \"bbox\": [171, 286, 180, 296]}, {\"cell\": \"0.97 (0.71–1.33)\", \"bbox\": [243, 286, 294, 296]}, {\"cell\": \"54\", \"bbox\": [339, 286, 348, 296]}, {\"cell\": \"0.89 (0.70–1.14)\", \"bbox\": [411, 286, 462, 296]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 300, 76, 310]}, {\"cell\": \"34\", \"bbox\": [171, 300, 180, 310]}, {\"cell\": \"0.80 (0.56–1.14)\", \"bbox\": [243, 300, 294, 310]}, {\"cell\": \"48\", \"bbox\": [339, 300, 348, 310]}, {\"cell\": \"0.86 (0.67–1.11)\", \"bbox\": [411, 300, 462, 310]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 314, 68, 324]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 328, 74, 338]}, {\"cell\": \"16\", \"bbox\": [171, 328, 180, 338]}, {\"cell\": \"0.28 (0.17–0.47)\", \"bbox\": [243, 328, 294, 338]}, {\"cell\": \"25\", \"bbox\": [339, 328, 348, 338]}, {\"cell\": \"0.37 (0.25–0.55)\", \"bbox\": [411, 328, 462, 338]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 342, 102, 352]}, {\"cell\": \"27\", \"bbox\": [171, 342, 180, 352]}, {\"cell\": \"0.50 (0.36–0.71)\", \"bbox\": [243, 342, 294, 352]}, {\"cell\": \"34\", \"bbox\": [339, 342, 348, 352]}, {\"cell\": \"0.54 (0.41–0.70)\", \"bbox\": [411, 342, 462, 352]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 356, 102, 366]}, {\"cell\": \"44\", \"bbox\": [171, 356, 180, 366]}, {\"cell\": \"0.72 (0.54–0.95)\", \"bbox\": [243, 356, 294, 366]}, {\"cell\": \"52\", \"bbox\": [339, 356, 348, 366]}, {\"cell\": \"0.68 (0.54–0.85)\", \"bbox\": [411, 356, 462, 366]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 370, 102, 380]}, {\"cell\": \"52\", \"bbox\": [171, 370, 180, 380]}, {\"cell\": \"0.81 (0.65–1.01)\", \"bbox\": [243, 370, 294, 380]}, {\"cell\": \"64\", \"bbox\": [339, 370, 348, 380]}, {\"cell\": \"0.81 (0.68–0.96)\", \"bbox\": [411, 370, 462, 380]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 384, 77, 394]}, {\"cell\": \"67\", \"bbox\": [171, 384, 180, 394]}, {\"cell\": \"1 [Reference]\", \"bbox\": [243, 384, 287, 394]}, {\"cell\": \"79\", \"bbox\": [339, 384, 348, 394]}, {\"cell\": \"1 [Reference]\", \"bbox\": [411, 384, 455, 394]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 398, 59, 408]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 412, 108, 422]}, {\"cell\": \"56\", \"bbox\": [171, 412, 180, 422]}, {\"cell\": \"1 [Reference]\", \"bbox\": [243, 412, 287, 422]}, {\"cell\": \"67\", \"bbox\": [339, 412, 348, 422]}, {\"cell\": \"1 [Reference]\", \"bbox\": [411, 412, 455, 422]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 426, 102, 436]}, {\"cell\": \"24\", \"bbox\": [171, 426, 180, 436]}, {\"cell\": \"0.57 (0.36–0.90)\", \"bbox\": [243, 426, 294, 436]}, {\"cell\": \"37\", \"bbox\": [339, 426, 348, 436]}, {\"cell\": \"0.67 (0.48–0.93)\", \"bbox\": [411, 426, 462, 436]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 440, 149, 450]}, {\"cell\": \"46\", \"bbox\": [171, 440, 180, 450]}, {\"cell\": \"0.94 (0.69–1.28)\", \"bbox\": [243, 440, 294, 450]}, {\"cell\": \"51\", \"bbox\": [339, 440, 348, 450]}, {\"cell\": \"0.87 (0.67–1.13)\", \"bbox\": [411, 440, 462, 450]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 454, 71, 464]}, {\"cell\": \"21\", \"bbox\": [171, 454, 180, 464]}, {\"cell\": \"0.57 (0.38–0.87)\", \"bbox\": [243, 454, 294, 464]}, {\"cell\": \"29\", \"bbox\": [339, 454, 348, 464]}, {\"cell\": \"0.60 (0.45–0.81)\", \"bbox\": [411, 454, 462, 464]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4981029_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Treatment (Dose)EfficacyReference
Iodoquinole (650 mg t.i.d)0%[EMPTY_CELL]
Emetine (100 μg/ml)50%[EMPTY_CELL]
Metronidazole (2000 mg s.i.d)0%[EMPTY_CELL]
Metronidazole (1500 mg s.i.d)100%[EMPTY_CELL]
Metronidazole (750 mg t.i.d)100%[EMPTY_CELL]
Metronidazole (750 mg t.i.d)100%[EMPTY_CELL]
Metronidazole (500 mg t.i.d)100%[EMPTY_CELL]
Metronidazole (250- 750 mg t.i.d)33%[EMPTY_CELL]
Metronidazole (750 mg t.i.d)100%[EMPTY_CELL]
Metronidazole (1500 mg s.i.d)80%[EMPTY_CELL]
Metronidazole (800 mg t.i.d)0%[EMPTY_CELL]
Metronidazole (30 mg/kg twice daily)67%[EMPTY_CELL]
Nitazoxanide (500 mg t.i.d)100%[EMPTY_CELL]
Nitazoxanide (100-200 mg b.i.d for children <12 yr, 500 mg b.i.d for >11 yr)86%[EMPTY_CELL]
Nitazoxanide (500 mg t.i.d)100%[EMPTY_CELL]
Ornidazole (500 mg t.i.d)50%[EMPTY_CELL]
Paromomycin (25 mg/kg t.i.d)100%[EMPTY_CELL]
Paromomycin (500 mg t.i.d)100%[EMPTY_CELL]
Paromomycin (25 mg/kg t.i.d)100%[EMPTY_CELL]
Paromomycin (1000 mg b.i.d) & MZ (750 mg t.i.d)100%[EMPTY_CELL]
Saccharomyces boulardii (250 mg b.i.d)78%[EMPTY_CELL]
Trimethroprim-SMX22%[EMPTY_CELL]
Trimethroprim-SMX (6 mg/kg TMP, 30 mg/kg SMX s.i.d)95%[EMPTY_CELL]
Trimethropim- SMX (320 mg TMP, 1600 mg SMX s.i.d)93%[EMPTY_CELL]
Trimethroprim- SMX (80 mg TMP, 400 mg SMX t.i.d)100%[EMPTY_CELL]
Triple therapy (nitazoxanide, furazolidone and secnidazole)0%[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Treatment (Dose)\", \"bbox\": [1, 4, 63, 13]}, {\"cell\": \"Efficacy\", \"bbox\": [168, 4, 196, 13]}, {\"cell\": \"Reference\", \"bbox\": [200, 4, 236, 13]}, {\"cell\": \"Iodoquinole (650 mg t.i.d)\", \"bbox\": [1, 17, 86, 27]}, {\"cell\": \"0%\", \"bbox\": [168, 17, 180, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 17, 214, 27]}, {\"cell\": \"Emetine (100 μg/ml)\", \"bbox\": [1, 31, 68, 41]}, {\"cell\": \"50%\", \"bbox\": [168, 31, 184, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 31, 214, 41]}, {\"cell\": \"Metronidazole (2000 mg s.i.d)\", \"bbox\": [1, 45, 97, 55]}, {\"cell\": \"0%\", \"bbox\": [168, 45, 180, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 45, 214, 55]}, {\"cell\": \"Metronidazole (1500 mg s.i.d)\", \"bbox\": [1, 59, 97, 69]}, {\"cell\": \"100%\", \"bbox\": [168, 59, 187, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 59, 214, 69]}, {\"cell\": \"Metronidazole (750 mg t.i.d)\", \"bbox\": [1, 73, 93, 83]}, {\"cell\": \"100%\", \"bbox\": [168, 73, 187, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 73, 214, 83]}, {\"cell\": \"Metronidazole (750 mg t.i.d)\", \"bbox\": [1, 87, 93, 97]}, {\"cell\": \"100%\", \"bbox\": [168, 87, 187, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 87, 214, 97]}, {\"cell\": \"Metronidazole (500 mg t.i.d)\", \"bbox\": [1, 101, 93, 111]}, {\"cell\": \"100%\", \"bbox\": [168, 101, 187, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 101, 214, 111]}, {\"cell\": \"Metronidazole (250- 750 mg t.i.d)\", \"bbox\": [1, 115, 109, 125]}, {\"cell\": \"33%\", \"bbox\": [168, 115, 184, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 115, 214, 125]}, {\"cell\": \"Metronidazole (750 mg t.i.d)\", \"bbox\": [1, 129, 93, 139]}, {\"cell\": \"100%\", \"bbox\": [168, 129, 187, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 129, 214, 139]}, {\"cell\": \"Metronidazole (1500 mg s.i.d)\", \"bbox\": [1, 143, 97, 153]}, {\"cell\": \"80%\", \"bbox\": [168, 143, 184, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 143, 214, 153]}, {\"cell\": \"Metronidazole (800 mg t.i.d)\", \"bbox\": [1, 157, 93, 167]}, {\"cell\": \"0%\", \"bbox\": [168, 157, 180, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 157, 214, 167]}, {\"cell\": \"Metronidazole (30 mg/kg twice daily)\", \"bbox\": [1, 171, 123, 181]}, {\"cell\": \"67%\", \"bbox\": [168, 171, 184, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 171, 214, 181]}, {\"cell\": \"Nitazoxanide (500 mg t.i.d)\", \"bbox\": [1, 185, 88, 195]}, {\"cell\": \"100%\", \"bbox\": [168, 185, 187, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 185, 214, 195]}, {\"cell\": \"Nitazoxanide (100-200 mg b.i.d for children <12 yr, 500 mg b.i.d for >11 yr)\", \"bbox\": [1, 199, 141, 218]}, {\"cell\": \"86%\", \"bbox\": [168, 199, 184, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 199, 214, 209]}, {\"cell\": \"Nitazoxanide (500 mg t.i.d)\", \"bbox\": [1, 222, 88, 232]}, {\"cell\": \"100%\", \"bbox\": [168, 222, 187, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 222, 214, 232]}, {\"cell\": \"Ornidazole (500 mg t.i.d)\", \"bbox\": [1, 236, 81, 246]}, {\"cell\": \"50%\", \"bbox\": [168, 236, 184, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 236, 214, 246]}, {\"cell\": \"Paromomycin (25 mg/kg t.i.d)\", \"bbox\": [1, 250, 98, 260]}, {\"cell\": \"100%\", \"bbox\": [168, 250, 187, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 250, 214, 260]}, {\"cell\": \"Paromomycin (500 mg t.i.d)\", \"bbox\": [1, 264, 91, 274]}, {\"cell\": \"100%\", \"bbox\": [168, 264, 187, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 264, 214, 274]}, {\"cell\": \"Paromomycin (25 mg/kg t.i.d)\", \"bbox\": [1, 278, 98, 288]}, {\"cell\": \"100%\", \"bbox\": [168, 278, 187, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 278, 214, 288]}, {\"cell\": \"Paromomycin (1000 mg b.i.d) & MZ (750 mg t.i.d)\", \"bbox\": [1, 292, 161, 302]}, {\"cell\": \"100%\", \"bbox\": [168, 292, 187, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 292, 214, 302]}, {\"cell\": \"Saccharomyces boulardii (250 mg b.i.d)\", \"bbox\": [1, 306, 125, 316]}, {\"cell\": \"78%\", \"bbox\": [168, 306, 184, 316]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 306, 214, 316]}, {\"cell\": \"Trimethroprim-SMX\", \"bbox\": [1, 320, 65, 330]}, {\"cell\": \"22%\", \"bbox\": [168, 320, 184, 330]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 320, 214, 330]}, {\"cell\": \"Trimethroprim-SMX (6 mg/kg TMP, 30 mg/kg SMX s.i.d)\", \"bbox\": [1, 334, 148, 353]}, {\"cell\": \"95%\", \"bbox\": [168, 334, 184, 344]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 334, 214, 344]}, {\"cell\": \"Trimethropim- SMX (320 mg TMP, 1600 mg SMX s.i.d)\", \"bbox\": [1, 357, 143, 376]}, {\"cell\": \"93%\", \"bbox\": [168, 357, 184, 367]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 357, 214, 367]}, {\"cell\": \"Trimethroprim- SMX (80 mg TMP, 400 mg SMX t.i.d)\", \"bbox\": [1, 380, 137, 399]}, {\"cell\": \"100%\", \"bbox\": [168, 380, 187, 390]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 380, 214, 390]}, {\"cell\": \"Triple therapy (nitazoxanide, furazolidone and secnidazole)\", \"bbox\": [1, 403, 149, 422]}, {\"cell\": \"0%\", \"bbox\": [168, 403, 180, 413]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 403, 214, 413]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4039988_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Basic characteristics of study participantsNH residentsStaff members
Number of participants[EMPTY_CELL]42
Age (years), median (IQR)[EMPTY_CELL]38.2 (33.5–46.1)
Female, n (%)[EMPTY_CELL]41 (97.6)
Mobile capabilities:[EMPTY_CELL][EMPTY_CELL]
Bedridden, n (%)[EMPTY_CELL]0
Need assistance in daily activities, n (%)[EMPTY_CELL]0
Mobile, n (%)[EMPTY_CELL]42 (100)
Comorbiditiesa, n (%):[EMPTY_CELL]7 (16.7)
Cardiovascular disease, n (%)[EMPTY_CELL]3 (7.1)
Chronic pulmonary disease, n (%)[EMPTY_CELL]1 (2.4)
Cerebrovascular disease, n (%)[EMPTY_CELL]1 (2.4)
Diabetes mellitus, n (%)[EMPTY_CELL]3 (7.1)
Dementia, n (%)[EMPTY_CELL]0
Charlson comorbidity index (age-adjusted), median (IQR)[EMPTY_CELL]0
Smoking, n (%)[EMPTY_CELL]15 (35.7)
Influenza vaccinationb in 2011/2012 season, n (%)[EMPTY_CELL]9 (21.4)
Deathsc, n (%)[EMPTY_CELL]0
\", \"cells\": [{\"cell\": \"Basic characteristics of study participants\", \"bbox\": [1, 4, 132, 13]}, {\"cell\": \"NH residents\", \"bbox\": [283, 4, 326, 13]}, {\"cell\": \"Staff members\", \"bbox\": [433, 4, 482, 13]}, {\"cell\": \"Number of participants\", \"bbox\": [1, 17, 77, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [283, 17, 293, 27]}, {\"cell\": \"42\", \"bbox\": [433, 17, 443, 27]}, {\"cell\": \"Age (years), median (IQR)\", \"bbox\": [1, 31, 83, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [283, 31, 334, 41]}, {\"cell\": \"38.2 (33.5–46.1)\", \"bbox\": [433, 31, 484, 41]}, {\"cell\": \"Female, n (%)\", \"bbox\": [1, 45, 46, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [283, 45, 312, 55]}, {\"cell\": \"41 (97.6)\", \"bbox\": [433, 45, 462, 55]}, {\"cell\": \"Mobile capabilities:\", \"bbox\": [1, 59, 63, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Bedridden, n (%)\", \"bbox\": [9, 73, 63, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [283, 73, 307, 83]}, {\"cell\": \"0\", \"bbox\": [433, 73, 439, 83]}, {\"cell\": \" Need assistance in daily activities, n (%)\", \"bbox\": [8, 87, 137, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [283, 87, 312, 97]}, {\"cell\": \"0\", \"bbox\": [433, 87, 439, 97]}, {\"cell\": \" Mobile, n (%)\", \"bbox\": [8, 101, 53, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [283, 101, 312, 111]}, {\"cell\": \"42 (100)\", \"bbox\": [433, 101, 461, 111]}, {\"cell\": \"Comorbiditiesa, n (%):\", \"bbox\": [0, 113, 71, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [283, 115, 312, 125]}, {\"cell\": \"7 (16.7)\", \"bbox\": [433, 115, 459, 125]}, {\"cell\": \" Cardiovascular disease, n (%)\", \"bbox\": [9, 129, 102, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [283, 129, 312, 139]}, {\"cell\": \"3 (7.1)\", \"bbox\": [433, 129, 455, 139]}, {\"cell\": \" Chronic pulmonary disease, n (%)\", \"bbox\": [9, 143, 118, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [283, 143, 312, 153]}, {\"cell\": \"1 (2.4)\", \"bbox\": [433, 143, 455, 153]}, {\"cell\": \" Cerebrovascular disease, n (%)\", \"bbox\": [9, 157, 107, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [283, 157, 312, 167]}, {\"cell\": \"1 (2.4)\", \"bbox\": [433, 157, 455, 167]}, {\"cell\": \" Diabetes mellitus, n (%)\", \"bbox\": [9, 171, 85, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [283, 171, 312, 181]}, {\"cell\": \"3 (7.1)\", \"bbox\": [433, 171, 455, 181]}, {\"cell\": \" Dementia, n (%)\", \"bbox\": [9, 185, 62, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [283, 185, 312, 195]}, {\"cell\": \"0\", \"bbox\": [433, 185, 439, 195]}, {\"cell\": \"Charlson comorbidity index (age-adjusted), median (IQR)\", \"bbox\": [1, 199, 184, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [283, 199, 307, 209]}, {\"cell\": \"0\", \"bbox\": [433, 199, 439, 209]}, {\"cell\": \"Smoking, n (%)\", \"bbox\": [1, 213, 51, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [283, 213, 305, 223]}, {\"cell\": \"15 (35.7)\", \"bbox\": [433, 213, 462, 223]}, {\"cell\": \"Influenza vaccinationb in 2011/2012 season, n (%)\", \"bbox\": [1, 225, 161, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [283, 227, 312, 237]}, {\"cell\": \"9 (21.4)\", \"bbox\": [433, 227, 459, 237]}, {\"cell\": \"Deathsc, n (%)\", \"bbox\": [1, 239, 47, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [283, 241, 312, 251]}, {\"cell\": \"0\", \"bbox\": [433, 241, 439, 251]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5097393_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariableGroup 1Group 2Group 3Group 4Group 5P value
At 0 hours[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Serum creatinine (mg/dl)[EMPTY_CELL]0.22 ± 0.030.19 ± 0.030.23 ± 0.040.19 ± 0.050.244
Serum BUN (mg/dl)[EMPTY_CELL]16.3 ± 3.313.5 ± 1.117.1 ± 1.716.4 ± 2.20.062
Ratio of urine protein to creatinine[EMPTY_CELL]1.14 ± 0.531.14 ± 0.321.35 ± 0.901.18 ± 0.340.924
At 24 hours[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Serum creatinine (mg/dl)[EMPTY_CELL]3.28 ± 1.29†1.72 ± 1.93‡1.55 ± 1.61‡1.6 ± 0.72‡<0.001
Serum BUN (mg/dl)[EMPTY_CELL]86.7 ± 15.9†67.8 ± 37.4‡68.0 ± 35.9‡68.0 ± 35.9‡<0.001
Ratio of urine protein to creatinine[EMPTY_CELL]6.75 ± 2.92†4.01 ± 0.80‡3.27 ± 0.33§2.73 ± 0.60<0.001
At 72 hours[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Serum creatinine (mg/dl)[EMPTY_CELL]3.58 ± 3.16†1.21 ± 0.83‡1.27 ± 0.83‡0.82 ± 0.32§<0.001
Serum BUN (mg/dl)[EMPTY_CELL]109 ± 89.7†63.5 ± 37.4‡49.9 ± 29.5§47.7 ± 18.3§<0.001
Ration of urine protein to creatinine[EMPTY_CELL]3.70 ± 2.82†2.08 ± 2.06‡1.52 ± 0.34§1.19 ± 0.23<0.001
\", \"cells\": [{\"cell\": \"Variable\", \"bbox\": [1, 4, 31, 13]}, {\"cell\": \"Group 1\", \"bbox\": [141, 4, 171, 13]}, {\"cell\": \"Group 2\", \"bbox\": [205, 4, 235, 13]}, {\"cell\": \"Group 3\", \"bbox\": [268, 4, 298, 13]}, {\"cell\": \"Group 4\", \"bbox\": [331, 4, 361, 13]}, {\"cell\": \"Group 5\", \"bbox\": [394, 4, 424, 13]}, {\"cell\": \"P value\", \"bbox\": [457, 4, 484, 13]}, {\"cell\": \"At 0 hours\", \"bbox\": [1, 17, 39, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Serum creatinine (mg/dl)\", \"bbox\": [1, 31, 83, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [141, 31, 178, 40]}, {\"cell\": \"0.22 ± 0.03\", \"bbox\": [205, 31, 242, 40]}, {\"cell\": \"0.19 ± 0.03\", \"bbox\": [268, 31, 305, 40]}, {\"cell\": \"0.23 ± 0.04\", \"bbox\": [331, 31, 368, 40]}, {\"cell\": \"0.19 ± 0.05\", \"bbox\": [394, 31, 431, 40]}, {\"cell\": \"0.244\", \"bbox\": [457, 31, 476, 40]}, {\"cell\": \"Serum BUN (mg/dl)\", \"bbox\": [1, 45, 66, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [141, 45, 174, 54]}, {\"cell\": \"16.3 ± 3.3\", \"bbox\": [205, 45, 238, 54]}, {\"cell\": \"13.5 ± 1.1\", \"bbox\": [268, 45, 301, 54]}, {\"cell\": \"17.1 ± 1.7\", \"bbox\": [331, 45, 364, 54]}, {\"cell\": \"16.4 ± 2.2\", \"bbox\": [394, 45, 427, 54]}, {\"cell\": \"0.062\", \"bbox\": [457, 45, 476, 54]}, {\"cell\": \"Ratio of urine protein to creatinine\", \"bbox\": [1, 59, 114, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [141, 59, 178, 68]}, {\"cell\": \"1.14 ± 0.53\", \"bbox\": [205, 59, 242, 68]}, {\"cell\": \"1.14 ± 0.32\", \"bbox\": [268, 59, 305, 68]}, {\"cell\": \"1.35 ± 0.90\", \"bbox\": [331, 59, 368, 68]}, {\"cell\": \"1.18 ± 0.34\", \"bbox\": [394, 59, 431, 68]}, {\"cell\": \"0.924\", \"bbox\": [457, 59, 476, 68]}, {\"cell\": \"At 24 hours\", \"bbox\": [1, 73, 43, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Serum creatinine (mg/dl)\", \"bbox\": [1, 87, 83, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [141, 87, 181, 96]}, {\"cell\": \"3.28 ± 1.29†\", \"bbox\": [205, 86, 245, 96]}, {\"cell\": \"1.72 ± 1.93‡\", \"bbox\": [268, 86, 308, 96]}, {\"cell\": \"1.55 ± 1.61‡\", \"bbox\": [331, 86, 371, 96]}, {\"cell\": \"1.6 ± 0.72‡\", \"bbox\": [394, 86, 430, 96]}, {\"cell\": \"<0.001\", \"bbox\": [457, 87, 481, 96]}, {\"cell\": \"Serum BUN (mg/dl)\", \"bbox\": [1, 101, 66, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [141, 101, 178, 110]}, {\"cell\": \"86.7 ± 15.9†\", \"bbox\": [205, 100, 245, 110]}, {\"cell\": \"67.8 ± 37.4‡\", \"bbox\": [268, 100, 308, 110]}, {\"cell\": \"68.0 ± 35.9‡\", \"bbox\": [331, 100, 371, 110]}, {\"cell\": \"68.0 ± 35.9‡\", \"bbox\": [394, 100, 434, 110]}, {\"cell\": \"<0.001\", \"bbox\": [457, 101, 481, 110]}, {\"cell\": \"Ratio of urine protein to creatinine\", \"bbox\": [1, 115, 114, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [141, 115, 181, 124]}, {\"cell\": \"6.75 ± 2.92†\", \"bbox\": [205, 114, 245, 124]}, {\"cell\": \"4.01 ± 0.80‡\", \"bbox\": [268, 114, 308, 124]}, {\"cell\": \"3.27 ± 0.33§\", \"bbox\": [331, 113, 371, 124]}, {\"cell\": \"2.73 ± 0.60\", \"bbox\": [394, 113, 434, 124]}, {\"cell\": \"<0.001\", \"bbox\": [457, 115, 481, 124]}, {\"cell\": \"At 72 hours\", \"bbox\": [1, 129, 43, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Serum creatinine (mg/dl)\", \"bbox\": [1, 143, 83, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [141, 143, 181, 152]}, {\"cell\": \"3.58 ± 3.16†\", \"bbox\": [205, 142, 245, 152]}, {\"cell\": \"1.21 ± 0.83‡\", \"bbox\": [268, 142, 308, 152]}, {\"cell\": \"1.27 ± 0.83‡\", \"bbox\": [331, 142, 371, 152]}, {\"cell\": \"0.82 ± 0.32§\", \"bbox\": [394, 141, 434, 152]}, {\"cell\": \"<0.001\", \"bbox\": [457, 143, 481, 152]}, {\"cell\": \"Serum BUN (mg/dl)\", \"bbox\": [1, 157, 66, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [141, 157, 178, 166]}, {\"cell\": \"109 ± 89.7†\", \"bbox\": [205, 156, 243, 166]}, {\"cell\": \"63.5 ± 37.4‡\", \"bbox\": [268, 156, 308, 166]}, {\"cell\": \"49.9 ± 29.5§\", \"bbox\": [331, 155, 371, 166]}, {\"cell\": \"47.7 ± 18.3§\", \"bbox\": [394, 155, 434, 166]}, {\"cell\": \"<0.001\", \"bbox\": [457, 157, 481, 166]}, {\"cell\": \"Ration of urine protein to creatinine\", \"bbox\": [1, 171, 118, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [141, 171, 181, 180]}, {\"cell\": \"3.70 ± 2.82†\", \"bbox\": [205, 170, 245, 180]}, {\"cell\": \"2.08 ± 2.06‡\", \"bbox\": [268, 170, 308, 180]}, {\"cell\": \"1.52 ± 0.34§\", \"bbox\": [331, 169, 371, 180]}, {\"cell\": \"1.19 ± 0.23\", \"bbox\": [394, 169, 434, 180]}, {\"cell\": \"<0.001\", \"bbox\": [457, 171, 481, 180]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3706768_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Weight loss attemptsWeight maintenance attempts
MotivesNumber of studiesnPrevalence (%)*ReferencesNumber of studiesnPrevalence (%)*References
Improve appearance51,10471.415, 24, 32, 35, 38246079.8[EMPTY_CELL]
Improve health/prevent diseases51,10435.315, 24, 32, 35, 38246097.6[EMPTY_CELL]
Improve wellbeing350195.015, 22, 38346090.8[EMPTY_CELL]
Improve fitness condition/stay fit350184.615, 32, 38246086.9[EMPTY_CELL]
Improve self‐esteem350173.915, 32, 38246071.0[EMPTY_CELL]
Health professional advice350140.015, 22, 38346038.6[EMPTY_CELL]
Please/insistence of spouse or partner223446.215, 22224732.0[EMPTY_CELL]
Improve social life/avoid discrimination226737.822, 38221344.6[EMPTY_CELL]
Improve professional life/fulfil specific professional requirements226732.222, 38221342.7[EMPTY_CELL]
Please/insistence of family223427.815, 22224724.9[EMPTY_CELL]
Decrease disease risk (e.g. heart attack)1——240——[EMPTY_CELL]
Special event/season (e.g. holiday, summer)1——221——[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Weight loss attempts\", \"bbox\": [222, 4, 289, 13]}, {\"cell\": \"Weight maintenance attempts\", \"bbox\": [358, 4, 453, 13]}, {\"cell\": \"Motives\", \"bbox\": [1, 21, 26, 29]}, {\"cell\": \"Number of studies\", \"bbox\": [182, 21, 217, 39]}, {\"cell\": \"n\", \"bbox\": [230, 22, 236, 28]}, {\"cell\": \"Prevalence (%)*\", \"bbox\": [245, 21, 282, 39]}, {\"cell\": \"References\", \"bbox\": [284, 21, 322, 29]}, {\"cell\": \"Number of studies\", \"bbox\": [343, 21, 378, 39]}, {\"cell\": \"n\", \"bbox\": [388, 22, 393, 28]}, {\"cell\": \"Prevalence (%)*\", \"bbox\": [400, 21, 437, 39]}, {\"cell\": \"References\", \"bbox\": [439, 21, 476, 29]}, {\"cell\": \"Improve appearance\", \"bbox\": [1, 47, 68, 56]}, {\"cell\": \"5\", \"bbox\": [196, 47, 202, 56]}, {\"cell\": \"1,104\", \"bbox\": [223, 47, 243, 56]}, {\"cell\": \"71.4\", \"bbox\": [256, 47, 271, 56]}, {\"cell\": \"15, 24, 32, 35, 38\", \"bbox\": [284, 47, 337, 56]}, {\"cell\": \"2\", \"bbox\": [358, 47, 363, 56]}, {\"cell\": \"460\", \"bbox\": [384, 47, 397, 56]}, {\"cell\": \"79.8\", \"bbox\": [410, 47, 426, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 47, 465, 56]}, {\"cell\": \"Improve health/prevent diseases\", \"bbox\": [1, 57, 104, 66]}, {\"cell\": \"5\", \"bbox\": [196, 57, 202, 66]}, {\"cell\": \"1,104\", \"bbox\": [223, 57, 243, 66]}, {\"cell\": \"35.3\", \"bbox\": [256, 57, 271, 66]}, {\"cell\": \"15, 24, 32, 35, 38\", \"bbox\": [284, 57, 337, 66]}, {\"cell\": \"2\", \"bbox\": [358, 57, 363, 66]}, {\"cell\": \"460\", \"bbox\": [384, 57, 397, 66]}, {\"cell\": \"97.6\", \"bbox\": [410, 57, 426, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 57, 465, 66]}, {\"cell\": \"Improve wellbeing\", \"bbox\": [1, 67, 60, 76]}, {\"cell\": \"3\", \"bbox\": [196, 67, 202, 76]}, {\"cell\": \"501\", \"bbox\": [229, 67, 243, 76]}, {\"cell\": \"95.0\", \"bbox\": [256, 67, 271, 76]}, {\"cell\": \"15, 22, 38\", \"bbox\": [284, 67, 318, 76]}, {\"cell\": \"3\", \"bbox\": [358, 67, 363, 76]}, {\"cell\": \"460\", \"bbox\": [384, 67, 397, 76]}, {\"cell\": \"90.8\", \"bbox\": [410, 67, 426, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 67, 474, 76]}, {\"cell\": \"Improve fitness condition/stay fit\", \"bbox\": [1, 77, 103, 86]}, {\"cell\": \"3\", \"bbox\": [196, 77, 202, 86]}, {\"cell\": \"501\", \"bbox\": [229, 77, 243, 86]}, {\"cell\": \"84.6\", \"bbox\": [256, 77, 271, 86]}, {\"cell\": \"15, 32, 38\", \"bbox\": [284, 77, 318, 86]}, {\"cell\": \"2\", \"bbox\": [358, 77, 363, 86]}, {\"cell\": \"460\", \"bbox\": [384, 77, 397, 86]}, {\"cell\": \"86.9\", \"bbox\": [410, 77, 426, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 77, 465, 86]}, {\"cell\": \"Improve self‐esteem\", \"bbox\": [1, 87, 66, 96]}, {\"cell\": \"3\", \"bbox\": [196, 87, 202, 96]}, {\"cell\": \"501\", \"bbox\": [229, 87, 243, 96]}, {\"cell\": \"73.9\", \"bbox\": [256, 87, 271, 96]}, {\"cell\": \"15, 32, 38\", \"bbox\": [284, 87, 318, 96]}, {\"cell\": \"2\", \"bbox\": [357, 87, 363, 96]}, {\"cell\": \"460\", \"bbox\": [384, 87, 397, 96]}, {\"cell\": \"71.0\", \"bbox\": [410, 87, 426, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 87, 465, 96]}, {\"cell\": \"Health professional advice\", \"bbox\": [1, 97, 85, 106]}, {\"cell\": \"3\", \"bbox\": [196, 97, 202, 106]}, {\"cell\": \"501\", \"bbox\": [229, 97, 243, 106]}, {\"cell\": \"40.0\", \"bbox\": [256, 97, 271, 106]}, {\"cell\": \"15, 22, 38\", \"bbox\": [284, 97, 318, 106]}, {\"cell\": \"3\", \"bbox\": [358, 97, 363, 106]}, {\"cell\": \"460\", \"bbox\": [384, 97, 397, 106]}, {\"cell\": \"38.6\", \"bbox\": [410, 97, 426, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 97, 474, 106]}, {\"cell\": \"Please/insistence of spouse or partner\", \"bbox\": [1, 107, 122, 116]}, {\"cell\": \"2\", \"bbox\": [196, 107, 202, 116]}, {\"cell\": \"234\", \"bbox\": [229, 107, 243, 116]}, {\"cell\": \"46.2\", \"bbox\": [256, 107, 271, 116]}, {\"cell\": \"15, 22\", \"bbox\": [284, 107, 308, 116]}, {\"cell\": \"2\", \"bbox\": [358, 107, 363, 116]}, {\"cell\": \"247\", \"bbox\": [384, 107, 397, 116]}, {\"cell\": \"32.0\", \"bbox\": [410, 107, 426, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 107, 465, 116]}, {\"cell\": \"Improve social life/avoid discrimination\", \"bbox\": [1, 117, 123, 126]}, {\"cell\": \"2\", \"bbox\": [196, 117, 202, 126]}, {\"cell\": \"267\", \"bbox\": [229, 117, 243, 126]}, {\"cell\": \"37.8\", \"bbox\": [256, 117, 271, 126]}, {\"cell\": \"22, 38\", \"bbox\": [284, 117, 308, 126]}, {\"cell\": \"2\", \"bbox\": [357, 117, 363, 126]}, {\"cell\": \"213\", \"bbox\": [384, 117, 397, 126]}, {\"cell\": \"44.6\", \"bbox\": [410, 117, 426, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 117, 465, 126]}, {\"cell\": \"Improve professional life/fulfil specific professional requirements\", \"bbox\": [1, 127, 159, 146]}, {\"cell\": \"2\", \"bbox\": [196, 127, 202, 136]}, {\"cell\": \"267\", \"bbox\": [229, 127, 243, 136]}, {\"cell\": \"32.2\", \"bbox\": [256, 127, 271, 136]}, {\"cell\": \"22, 38\", \"bbox\": [284, 127, 308, 136]}, {\"cell\": \"2\", \"bbox\": [357, 127, 363, 136]}, {\"cell\": \"213\", \"bbox\": [384, 127, 397, 136]}, {\"cell\": \"42.7\", \"bbox\": [410, 127, 426, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 127, 465, 136]}, {\"cell\": \"Please/insistence of family\", \"bbox\": [1, 147, 85, 156]}, {\"cell\": \"2\", \"bbox\": [196, 147, 202, 156]}, {\"cell\": \"234\", \"bbox\": [229, 147, 243, 156]}, {\"cell\": \"27.8\", \"bbox\": [256, 147, 271, 156]}, {\"cell\": \"15, 22\", \"bbox\": [284, 147, 308, 156]}, {\"cell\": \"2\", \"bbox\": [357, 147, 363, 156]}, {\"cell\": \"247\", \"bbox\": [384, 147, 397, 156]}, {\"cell\": \"24.9\", \"bbox\": [410, 147, 426, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 147, 465, 156]}, {\"cell\": \"Decrease disease risk (e.g. heart attack)\", \"bbox\": [1, 157, 129, 166]}, {\"cell\": \"1\", \"bbox\": [196, 157, 202, 166]}, {\"cell\": \"—\", \"bbox\": [234, 160, 243, 164]}, {\"cell\": \"—\", \"bbox\": [262, 160, 271, 164]}, {\"cell\": \"24\", \"bbox\": [284, 157, 298, 166]}, {\"cell\": \"0\", \"bbox\": [357, 157, 363, 166]}, {\"cell\": \"—\", \"bbox\": [388, 160, 397, 164]}, {\"cell\": \"—\", \"bbox\": [417, 160, 426, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Special event/season (e.g. holiday, summer)\", \"bbox\": [1, 167, 141, 176]}, {\"cell\": \"1\", \"bbox\": [196, 167, 202, 176]}, {\"cell\": \"—\", \"bbox\": [234, 171, 243, 175]}, {\"cell\": \"—\", \"bbox\": [262, 171, 271, 175]}, {\"cell\": \"22\", \"bbox\": [284, 167, 298, 176]}, {\"cell\": \"1\", \"bbox\": [357, 167, 363, 176]}, {\"cell\": \"—\", \"bbox\": [388, 171, 397, 175]}, {\"cell\": \"—\", \"bbox\": [417, 171, 426, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 167, 455, 176]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5215364_014_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
LocusAlleleLocationMAFOR [95% CI]P*Pcorr**
AERDATA
rs2074267[EMPTY_CELL]5’-UTR0.3580.4140.79 [0.61–1.03]0.0760.699
rs4141356[EMPTY_CELL]5’-UTR0.4470.3781.33 [1.03–1.71]0.0270.250
rs718100[EMPTY_CELL]intron 20.4290.3441.44 [1.11–1.85]0.0050.046
rs2074265[EMPTY_CELL]Exon 6 (L213 L)0.4330.3481.43 [1.11–1.84]0.0050.049
rs2240299[EMPTY_CELL]intron 90.2410.3520.58 [0.44–0.78]2.28 × 10−40.002
rs7507755[EMPTY_CELL]intron 100.2410.3520.59 [0.44–0.78]2.38 × 10−40.002
rs1468198[EMPTY_CELL]intron 100.4750.6030.60 [0.46–0.77]6.11 × 10−50.001
rs2074261[EMPTY_CELL]intron 140.3790.5010.61 [0.47–0.79]1.41 × 10−40.001
rs13301[EMPTY_CELL]3′-flanking0.3870.5020.63 [0.48–0.81]2.82 × 10−40.003
BL1ht1[EMPTY_CELL]–0.3160.3710.78 [0.60–1.02]0.0720.580
BL1ht3[EMPTY_CELL]–0.2200.2420.88 [0.65–1.19]0.4101.000
BL1ht4[EMPTY_CELL]–0.0320.0370.86 [0.43–1.75]0.6841.000
BL2ht3[EMPTY_CELL]–0.1350.1460.91 [0.63–1.31]0.6081.000
BL2ht4[EMPTY_CELL]–0.0210.0280.75 [0.32–1.76]0.5081.000
\", \"cells\": [{\"cell\": \"Locus\", \"bbox\": [1, 4, 21, 13]}, {\"cell\": \"Allele\", \"bbox\": [66, 4, 86, 13]}, {\"cell\": \"Location\", \"bbox\": [121, 4, 151, 13]}, {\"cell\": \"MAF\", \"bbox\": [206, 4, 223, 13]}, {\"cell\": \"OR [95% CI]\", \"bbox\": [311, 4, 351, 13]}, {\"cell\": \"P*\", \"bbox\": [396, 2, 404, 13]}, {\"cell\": \"Pcorr**\", \"bbox\": [466, 2, 481, 14]}, {\"cell\": \"AERD\", \"bbox\": [206, 17, 226, 27]}, {\"cell\": \"ATA\", \"bbox\": [259, 17, 274, 27]}, {\"cell\": \"rs2074267\", \"bbox\": [1, 30, 33, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [66, 30, 85, 38]}, {\"cell\": \"5’-UTR\", \"bbox\": [121, 30, 144, 40]}, {\"cell\": \"0.358\", \"bbox\": [206, 30, 225, 40]}, {\"cell\": \"0.414\", \"bbox\": [259, 30, 278, 40]}, {\"cell\": \"0.79 [0.61–1.03]\", \"bbox\": [311, 30, 362, 40]}, {\"cell\": \"0.076\", \"bbox\": [396, 30, 414, 40]}, {\"cell\": \"0.699\", \"bbox\": [466, 30, 484, 40]}, {\"cell\": \"rs4141356\", \"bbox\": [1, 44, 33, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [66, 44, 85, 52]}, {\"cell\": \"5’-UTR\", \"bbox\": [121, 44, 144, 54]}, {\"cell\": \"0.447\", \"bbox\": [206, 44, 225, 54]}, {\"cell\": \"0.378\", \"bbox\": [259, 44, 278, 54]}, {\"cell\": \"1.33 [1.03–1.71]\", \"bbox\": [311, 44, 362, 54]}, {\"cell\": \"0.027\", \"bbox\": [396, 44, 414, 54]}, {\"cell\": \"0.250\", \"bbox\": [466, 44, 484, 54]}, {\"cell\": \"rs718100\", \"bbox\": [1, 58, 29, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [66, 58, 85, 66]}, {\"cell\": \"intron 2\", \"bbox\": [121, 58, 149, 68]}, {\"cell\": \"0.429\", \"bbox\": [206, 58, 225, 68]}, {\"cell\": \"0.344\", \"bbox\": [259, 58, 278, 68]}, {\"cell\": \"1.44 [1.11–1.85]\", \"bbox\": [311, 58, 362, 68]}, {\"cell\": \"0.005\", \"bbox\": [396, 58, 414, 68]}, {\"cell\": \"0.046\", \"bbox\": [466, 58, 484, 68]}, {\"cell\": \"rs2074265\", \"bbox\": [1, 72, 33, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [66, 72, 85, 80]}, {\"cell\": \"Exon 6 (L213 L)\", \"bbox\": [121, 72, 173, 82]}, {\"cell\": \"0.433\", \"bbox\": [206, 72, 225, 82]}, {\"cell\": \"0.348\", \"bbox\": [259, 72, 278, 82]}, {\"cell\": \"1.43 [1.11–1.84]\", \"bbox\": [311, 72, 362, 82]}, {\"cell\": \"0.005\", \"bbox\": [396, 72, 414, 82]}, {\"cell\": \"0.049\", \"bbox\": [466, 72, 484, 82]}, {\"cell\": \"rs2240299\", \"bbox\": [1, 86, 33, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [66, 86, 84, 94]}, {\"cell\": \"intron 9\", \"bbox\": [121, 86, 149, 96]}, {\"cell\": \"0.241\", \"bbox\": [206, 86, 225, 96]}, {\"cell\": \"0.352\", \"bbox\": [259, 86, 278, 96]}, {\"cell\": \"0.58 [0.44–0.78]\", \"bbox\": [311, 86, 362, 96]}, {\"cell\": \"2.28 × 10−4\", \"bbox\": [396, 85, 432, 96]}, {\"cell\": \"0.002\", \"bbox\": [466, 86, 484, 96]}, {\"cell\": \"rs7507755\", \"bbox\": [1, 100, 33, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [66, 100, 85, 108]}, {\"cell\": \"intron 10\", \"bbox\": [121, 100, 153, 110]}, {\"cell\": \"0.241\", \"bbox\": [206, 100, 225, 110]}, {\"cell\": \"0.352\", \"bbox\": [259, 100, 278, 110]}, {\"cell\": \"0.59 [0.44–0.78]\", \"bbox\": [311, 100, 362, 110]}, {\"cell\": \"2.38 × 10−4\", \"bbox\": [396, 99, 432, 110]}, {\"cell\": \"0.002\", \"bbox\": [466, 100, 484, 110]}, {\"cell\": \"rs1468198\", \"bbox\": [1, 114, 33, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [66, 114, 84, 122]}, {\"cell\": \"intron 10\", \"bbox\": [121, 114, 153, 124]}, {\"cell\": \"0.475\", \"bbox\": [206, 114, 225, 124]}, {\"cell\": \"0.603\", \"bbox\": [259, 114, 278, 124]}, {\"cell\": \"0.60 [0.46–0.77]\", \"bbox\": [311, 114, 362, 124]}, {\"cell\": \"6.11 × 10−5\", \"bbox\": [396, 113, 432, 124]}, {\"cell\": \"0.001\", \"bbox\": [466, 114, 484, 124]}, {\"cell\": \"rs2074261\", \"bbox\": [1, 128, 33, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [66, 128, 85, 136]}, {\"cell\": \"intron 14\", \"bbox\": [121, 128, 153, 138]}, {\"cell\": \"0.379\", \"bbox\": [206, 128, 225, 138]}, {\"cell\": \"0.501\", \"bbox\": [259, 128, 278, 138]}, {\"cell\": \"0.61 [0.47–0.79]\", \"bbox\": [311, 128, 362, 138]}, {\"cell\": \"1.41 × 10−4\", \"bbox\": [396, 127, 432, 138]}, {\"cell\": \"0.001\", \"bbox\": [466, 128, 484, 138]}, {\"cell\": \"rs13301\", \"bbox\": [1, 142, 26, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [66, 142, 84, 150]}, {\"cell\": \"3′-flanking\", \"bbox\": [121, 142, 156, 152]}, {\"cell\": \"0.387\", \"bbox\": [206, 142, 225, 152]}, {\"cell\": \"0.502\", \"bbox\": [259, 142, 278, 152]}, {\"cell\": \"0.63 [0.48–0.81]\", \"bbox\": [311, 142, 362, 152]}, {\"cell\": \"2.82 × 10−4\", \"bbox\": [396, 141, 432, 152]}, {\"cell\": \"0.003\", \"bbox\": [466, 142, 484, 152]}, {\"cell\": \"BL1ht1\", \"bbox\": [1, 156, 23, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [66, 156, 86, 164]}, {\"cell\": \"–\", \"bbox\": [121, 156, 127, 164]}, {\"cell\": \"0.316\", \"bbox\": [206, 156, 225, 166]}, {\"cell\": \"0.371\", \"bbox\": [259, 156, 278, 166]}, {\"cell\": \"0.78 [0.60–1.02]\", \"bbox\": [311, 156, 362, 166]}, {\"cell\": \"0.072\", \"bbox\": [396, 156, 414, 166]}, {\"cell\": \"0.580\", \"bbox\": [466, 156, 484, 166]}, {\"cell\": \"BL1ht3\", \"bbox\": [1, 170, 23, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [66, 170, 86, 178]}, {\"cell\": \"–\", \"bbox\": [121, 170, 127, 178]}, {\"cell\": \"0.220\", \"bbox\": [206, 170, 225, 180]}, {\"cell\": \"0.242\", \"bbox\": [259, 170, 278, 180]}, {\"cell\": \"0.88 [0.65–1.19]\", \"bbox\": [311, 170, 362, 180]}, {\"cell\": \"0.410\", \"bbox\": [396, 170, 414, 180]}, {\"cell\": \"1.000\", \"bbox\": [466, 170, 484, 180]}, {\"cell\": \"BL1ht4\", \"bbox\": [1, 184, 23, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [66, 184, 86, 192]}, {\"cell\": \"–\", \"bbox\": [121, 184, 127, 192]}, {\"cell\": \"0.032\", \"bbox\": [206, 184, 225, 194]}, {\"cell\": \"0.037\", \"bbox\": [259, 184, 278, 194]}, {\"cell\": \"0.86 [0.43–1.75]\", \"bbox\": [311, 184, 362, 194]}, {\"cell\": \"0.684\", \"bbox\": [396, 184, 414, 194]}, {\"cell\": \"1.000\", \"bbox\": [466, 184, 484, 194]}, {\"cell\": \"BL2ht3\", \"bbox\": [1, 198, 23, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [66, 198, 88, 206]}, {\"cell\": \"–\", \"bbox\": [121, 198, 127, 206]}, {\"cell\": \"0.135\", \"bbox\": [206, 198, 225, 208]}, {\"cell\": \"0.146\", \"bbox\": [259, 198, 278, 208]}, {\"cell\": \"0.91 [0.63–1.31]\", \"bbox\": [311, 198, 362, 208]}, {\"cell\": \"0.608\", \"bbox\": [396, 198, 414, 208]}, {\"cell\": \"1.000\", \"bbox\": [466, 198, 484, 208]}, {\"cell\": \"BL2ht4\", \"bbox\": [1, 212, 23, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [66, 212, 88, 220]}, {\"cell\": \"–\", \"bbox\": [121, 212, 127, 220]}, {\"cell\": \"0.021\", \"bbox\": [206, 212, 225, 222]}, {\"cell\": \"0.028\", \"bbox\": [259, 212, 278, 222]}, {\"cell\": \"0.75 [0.32–1.76]\", \"bbox\": [311, 212, 362, 222]}, {\"cell\": \"0.508\", \"bbox\": [396, 212, 414, 222]}, {\"cell\": \"1.000\", \"bbox\": [466, 212, 484, 222]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5732499_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
CaseAgeSexTumour localizedHistologyCD56Clinical stageTreatmentFollow-up
157M[EMPTY_CELL]Mixture+III-BCt+RtDWD (10 m)
230F[EMPTY_CELL]Mixture+I-BCt+RtDWD (16 m)
342F[EMPTY_CELL]Mixture+IV-BCtDWD (3 m)
432M[EMPTY_CELL]Mixture+II-ACt+RtDWD (8 m)
593F[EMPTY_CELL]Large cells+II-BRtDWD (1 m)
649M[EMPTY_CELL]Mixture+II-BCt+RtAWOD (16 m)
738M[EMPTY_CELL]Mixture+I-ACt+RtAWOD (10 m)
823F[EMPTY_CELL]Mixture+II-BCt+RtAWOD (12 m)
923M[EMPTY_CELL]Mixture+III-ACt+RtAWOD (60 m)
1028F[EMPTY_CELL]Mixture+III-BCt+RtDWD (4 m)
1167F[EMPTY_CELL]Mixture+III-BCt+RtDWD (36 m)
1243M[EMPTY_CELL]Mixture+IV-BCtDWD (1 m)
1362M[EMPTY_CELL]Mixture+II-BRtDWD (1 m)
1466M[EMPTY_CELL]Large cells+II-ACt+RtAWOD (60 m)
1536M[EMPTY_CELL]Mixture+IV-BCtDWD (1 m)
1654M[EMPTY_CELL]Mixture+IV-BCt+RtDWD (3 m)
1757F[EMPTY_CELL]Large cells+IV-BRtDWD (1 m)
1863M[EMPTY_CELL]Mixture+I-ACt+RtAWD (132 m)
1922M[EMPTY_CELL]Mixture+IV-BNoneDWD (1 m)
2043M[EMPTY_CELL]Mixture+IV-BCtDWD (3 m)
\", \"cells\": [{\"cell\": \"Case\", \"bbox\": [8, 5, 29, 14]}, {\"cell\": \"Age\", \"bbox\": [42, 5, 59, 14]}, {\"cell\": \"Sex\", \"bbox\": [71, 5, 87, 14]}, {\"cell\": \"Tumour localized\", \"bbox\": [107, 5, 177, 14]}, {\"cell\": \"Histology\", \"bbox\": [199, 5, 238, 14]}, {\"cell\": \"CD56\", \"bbox\": [254, 5, 278, 14]}, {\"cell\": \"Clinical stage\", \"bbox\": [296, 5, 349, 14]}, {\"cell\": \"Treatment\", \"bbox\": [370, 5, 415, 14]}, {\"cell\": \"Follow-up\", \"bbox\": [442, 5, 482, 14]}, {\"cell\": \"1\", \"bbox\": [15, 27, 22, 36]}, {\"cell\": \"57\", \"bbox\": [45, 27, 56, 36]}, {\"cell\": \"M\", \"bbox\": [75, 27, 84, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 27, 153, 36]}, {\"cell\": \"Mixture\", \"bbox\": [204, 27, 233, 36]}, {\"cell\": \"+\", \"bbox\": [263, 27, 269, 36]}, {\"cell\": \"III-B\", \"bbox\": [315, 27, 331, 36]}, {\"cell\": \"Ct+Rt\", \"bbox\": [381, 27, 404, 36]}, {\"cell\": \"DWD (10 m)\", \"bbox\": [439, 27, 486, 36]}, {\"cell\": \"2\", \"bbox\": [15, 37, 22, 47]}, {\"cell\": \"30\", \"bbox\": [45, 37, 56, 47]}, {\"cell\": \"F\", \"bbox\": [77, 37, 82, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 37, 163, 47]}, {\"cell\": \"Mixture\", \"bbox\": [204, 37, 233, 47]}, {\"cell\": \"+\", \"bbox\": [263, 37, 269, 47]}, {\"cell\": \"I-B\", \"bbox\": [317, 37, 329, 47]}, {\"cell\": \"Ct+Rt\", \"bbox\": [381, 37, 404, 47]}, {\"cell\": \"DWD (16 m)\", \"bbox\": [439, 37, 486, 47]}, {\"cell\": \"3\", \"bbox\": [15, 47, 22, 57]}, {\"cell\": \"42\", \"bbox\": [45, 47, 56, 57]}, {\"cell\": \"F\", \"bbox\": [77, 47, 82, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 47, 163, 57]}, {\"cell\": \"Mixture\", \"bbox\": [204, 47, 233, 57]}, {\"cell\": \"+\", \"bbox\": [263, 47, 270, 57]}, {\"cell\": \"IV-B\", \"bbox\": [315, 47, 331, 57]}, {\"cell\": \"Ct\", \"bbox\": [387, 47, 398, 57]}, {\"cell\": \"DWD (3 m)\", \"bbox\": [441, 47, 484, 57]}, {\"cell\": \"4\", \"bbox\": [15, 57, 22, 67]}, {\"cell\": \"32\", \"bbox\": [45, 57, 56, 67]}, {\"cell\": \"M\", \"bbox\": [75, 57, 84, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 57, 153, 67]}, {\"cell\": \"Mixture\", \"bbox\": [204, 57, 233, 67]}, {\"cell\": \"+\", \"bbox\": [263, 57, 270, 67]}, {\"cell\": \"II-A\", \"bbox\": [316, 57, 330, 67]}, {\"cell\": \"Ct+Rt\", \"bbox\": [381, 57, 404, 67]}, {\"cell\": \"DWD (8 m)\", \"bbox\": [441, 57, 484, 67]}, {\"cell\": \"5\", \"bbox\": [15, 68, 22, 77]}, {\"cell\": \"93\", \"bbox\": [45, 68, 56, 77]}, {\"cell\": \"F\", \"bbox\": [77, 68, 82, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 68, 163, 77]}, {\"cell\": \"Large cells\", \"bbox\": [200, 68, 237, 77]}, {\"cell\": \"+\", \"bbox\": [263, 68, 270, 77]}, {\"cell\": \"II-B\", \"bbox\": [316, 68, 330, 77]}, {\"cell\": \"Rt\", \"bbox\": [388, 68, 397, 77]}, {\"cell\": \"DWD (1 m)\", \"bbox\": [441, 68, 484, 77]}, {\"cell\": \"6\", \"bbox\": [15, 78, 22, 88]}, {\"cell\": \"49\", \"bbox\": [45, 78, 56, 88]}, {\"cell\": \"M\", \"bbox\": [75, 78, 84, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 78, 163, 88]}, {\"cell\": \"Mixture\", \"bbox\": [204, 78, 233, 88]}, {\"cell\": \"+\", \"bbox\": [263, 78, 269, 88]}, {\"cell\": \"II-B\", \"bbox\": [316, 78, 330, 88]}, {\"cell\": \"Ct+Rt\", \"bbox\": [381, 78, 404, 88]}, {\"cell\": \"AWOD (16 m)\", \"bbox\": [436, 78, 489, 88]}, {\"cell\": \"7\", \"bbox\": [15, 88, 22, 98]}, {\"cell\": \"38\", \"bbox\": [45, 88, 56, 98]}, {\"cell\": \"M\", \"bbox\": [75, 88, 84, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [119, 88, 165, 98]}, {\"cell\": \"Mixture\", \"bbox\": [204, 88, 233, 98]}, {\"cell\": \"+\", \"bbox\": [263, 88, 269, 98]}, {\"cell\": \"I-A\", \"bbox\": [317, 88, 329, 98]}, {\"cell\": \"Ct+Rt\", \"bbox\": [381, 88, 404, 98]}, {\"cell\": \"AWOD (10 m)\", \"bbox\": [436, 88, 489, 98]}, {\"cell\": \"8\", \"bbox\": [15, 99, 22, 108]}, {\"cell\": \"23\", \"bbox\": [45, 99, 56, 108]}, {\"cell\": \"F\", \"bbox\": [77, 99, 82, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 99, 153, 108]}, {\"cell\": \"Mixture\", \"bbox\": [204, 99, 233, 108]}, {\"cell\": \"+\", \"bbox\": [263, 99, 269, 108]}, {\"cell\": \"II-B\", \"bbox\": [316, 99, 330, 108]}, {\"cell\": \"Ct+Rt\", \"bbox\": [381, 99, 404, 108]}, {\"cell\": \"AWOD (12 m)\", \"bbox\": [436, 99, 489, 108]}, {\"cell\": \"9\", \"bbox\": [15, 109, 22, 118]}, {\"cell\": \"23\", \"bbox\": [45, 109, 56, 118]}, {\"cell\": \"M\", \"bbox\": [75, 109, 84, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [119, 109, 165, 118]}, {\"cell\": \"Mixture\", \"bbox\": [204, 109, 233, 118]}, {\"cell\": \"+\", \"bbox\": [263, 109, 269, 118]}, {\"cell\": \"III-A\", \"bbox\": [315, 109, 331, 118]}, {\"cell\": \"Ct+Rt\", \"bbox\": [381, 109, 404, 118]}, {\"cell\": \"AWOD (60 m)\", \"bbox\": [436, 109, 489, 118]}, {\"cell\": \"10\", \"bbox\": [13, 119, 24, 129]}, {\"cell\": \"28\", \"bbox\": [45, 119, 56, 129]}, {\"cell\": \"F\", \"bbox\": [77, 119, 82, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 119, 163, 129]}, {\"cell\": \"Mixture\", \"bbox\": [204, 119, 233, 129]}, {\"cell\": \"+\", \"bbox\": [263, 119, 270, 129]}, {\"cell\": \"III-B\", \"bbox\": [315, 119, 331, 129]}, {\"cell\": \"Ct+Rt\", \"bbox\": [381, 119, 404, 129]}, {\"cell\": \"DWD (4 m)\", \"bbox\": [441, 119, 484, 129]}, {\"cell\": \"11\", \"bbox\": [13, 129, 24, 139]}, {\"cell\": \"67\", \"bbox\": [45, 129, 56, 139]}, {\"cell\": \"F\", \"bbox\": [77, 129, 82, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [119, 129, 165, 139]}, {\"cell\": \"Mixture\", \"bbox\": [204, 129, 233, 139]}, {\"cell\": \"+\", \"bbox\": [263, 129, 269, 139]}, {\"cell\": \"III-B\", \"bbox\": [315, 129, 331, 139]}, {\"cell\": \"Ct+Rt\", \"bbox\": [381, 129, 404, 139]}, {\"cell\": \"DWD (36 m)\", \"bbox\": [439, 129, 486, 139]}, {\"cell\": \"12\", \"bbox\": [13, 140, 24, 149]}, {\"cell\": \"43\", \"bbox\": [45, 140, 56, 149]}, {\"cell\": \"M\", \"bbox\": [75, 140, 84, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 140, 163, 149]}, {\"cell\": \"Mixture\", \"bbox\": [204, 140, 233, 149]}, {\"cell\": \"+\", \"bbox\": [263, 140, 270, 149]}, {\"cell\": \"IV-B\", \"bbox\": [315, 140, 331, 149]}, {\"cell\": \"Ct\", \"bbox\": [387, 140, 398, 149]}, {\"cell\": \"DWD (1 m)\", \"bbox\": [441, 140, 484, 149]}, {\"cell\": \"13\", \"bbox\": [13, 150, 24, 159]}, {\"cell\": \"62\", \"bbox\": [45, 150, 56, 159]}, {\"cell\": \"M\", \"bbox\": [75, 150, 84, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 150, 163, 159]}, {\"cell\": \"Mixture\", \"bbox\": [204, 150, 233, 159]}, {\"cell\": \"+\", \"bbox\": [263, 150, 270, 159]}, {\"cell\": \"II-B\", \"bbox\": [316, 150, 330, 159]}, {\"cell\": \"Rt\", \"bbox\": [388, 150, 397, 159]}, {\"cell\": \"DWD (1 m)\", \"bbox\": [441, 150, 484, 159]}, {\"cell\": \"14\", \"bbox\": [13, 160, 24, 170]}, {\"cell\": \"66\", \"bbox\": [45, 160, 56, 170]}, {\"cell\": \"M\", \"bbox\": [75, 160, 84, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 160, 163, 170]}, {\"cell\": \"Large cells\", \"bbox\": [200, 160, 237, 170]}, {\"cell\": \"+\", \"bbox\": [263, 160, 270, 170]}, {\"cell\": \"II-A\", \"bbox\": [316, 160, 330, 170]}, {\"cell\": \"Ct+Rt\", \"bbox\": [381, 160, 404, 170]}, {\"cell\": \"AWOD (60 m)\", \"bbox\": [436, 160, 489, 170]}, {\"cell\": \"15\", \"bbox\": [13, 170, 24, 180]}, {\"cell\": \"36\", \"bbox\": [45, 170, 56, 180]}, {\"cell\": \"M\", \"bbox\": [75, 170, 84, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 170, 163, 180]}, {\"cell\": \"Mixture\", \"bbox\": [204, 170, 233, 180]}, {\"cell\": \"+\", \"bbox\": [263, 170, 270, 180]}, {\"cell\": \"IV-B\", \"bbox\": [315, 170, 331, 180]}, {\"cell\": \"Ct\", \"bbox\": [387, 170, 398, 180]}, {\"cell\": \"DWD (1 m)\", \"bbox\": [441, 170, 484, 180]}, {\"cell\": \"16\", \"bbox\": [13, 180, 24, 190]}, {\"cell\": \"54\", \"bbox\": [45, 180, 56, 190]}, {\"cell\": \"M\", \"bbox\": [75, 180, 84, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 180, 163, 190]}, {\"cell\": \"Mixture\", \"bbox\": [204, 180, 233, 190]}, {\"cell\": \"+\", \"bbox\": [263, 180, 270, 190]}, {\"cell\": \"IV-B\", \"bbox\": [315, 180, 331, 190]}, {\"cell\": \"Ct+Rt\", \"bbox\": [381, 180, 404, 190]}, {\"cell\": \"DWD (3 m)\", \"bbox\": [441, 180, 484, 190]}, {\"cell\": \"17\", \"bbox\": [13, 191, 24, 200]}, {\"cell\": \"57\", \"bbox\": [45, 191, 56, 200]}, {\"cell\": \"F\", \"bbox\": [77, 191, 82, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 191, 163, 200]}, {\"cell\": \"Large cells\", \"bbox\": [200, 191, 237, 200]}, {\"cell\": \"+\", \"bbox\": [263, 191, 270, 200]}, {\"cell\": \"IV-B\", \"bbox\": [315, 191, 331, 200]}, {\"cell\": \"Rt\", \"bbox\": [388, 191, 397, 200]}, {\"cell\": \"DWD (1 m)\", \"bbox\": [441, 191, 484, 200]}, {\"cell\": \"18\", \"bbox\": [13, 201, 24, 211]}, {\"cell\": \"63\", \"bbox\": [45, 201, 56, 211]}, {\"cell\": \"M\", \"bbox\": [75, 201, 84, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 201, 163, 211]}, {\"cell\": \"Mixture\", \"bbox\": [204, 201, 233, 211]}, {\"cell\": \"+\", \"bbox\": [263, 201, 269, 211]}, {\"cell\": \"I-A\", \"bbox\": [317, 201, 329, 211]}, {\"cell\": \"Ct+Rt\", \"bbox\": [381, 201, 404, 211]}, {\"cell\": \"AWD (132 m)\", \"bbox\": [437, 201, 488, 211]}, {\"cell\": \"19\", \"bbox\": [13, 211, 24, 221]}, {\"cell\": \"22\", \"bbox\": [45, 211, 56, 221]}, {\"cell\": \"M\", \"bbox\": [75, 211, 84, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 211, 163, 221]}, {\"cell\": \"Mixture\", \"bbox\": [204, 211, 233, 221]}, {\"cell\": \"+\", \"bbox\": [263, 211, 270, 221]}, {\"cell\": \"IV-B\", \"bbox\": [315, 211, 331, 221]}, {\"cell\": \"None\", \"bbox\": [382, 211, 403, 221]}, {\"cell\": \"DWD (1 m)\", \"bbox\": [441, 211, 484, 221]}, {\"cell\": \"20\", \"bbox\": [13, 222, 24, 231]}, {\"cell\": \"43\", \"bbox\": [45, 222, 56, 231]}, {\"cell\": \"M\", \"bbox\": [75, 222, 84, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 222, 153, 231]}, {\"cell\": \"Mixture\", \"bbox\": [204, 222, 233, 231]}, {\"cell\": \"+\", \"bbox\": [263, 222, 270, 231]}, {\"cell\": \"IV-B\", \"bbox\": [315, 222, 331, 231]}, {\"cell\": \"Ct\", \"bbox\": [387, 222, 398, 231]}, {\"cell\": \"DWD (3 m)\", \"bbox\": [441, 222, 484, 231]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2582239_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Expression statusIntracellular expression localizationProteins
[EMPTY_CELL]NuclearVEGFA, TYMP, KDR, KDRp34, FIH, EPHB4, PHD1, SOD1, FGF, P53, SP1, STAT3, MEF2D, JMY, GST, CHGA
[EMPTY_CELL]HIF1, HIF2, VEGFA, TYMP, KDR, KDRp34, FIH, PHD1, SOD1, CXCR4, EPHB4, BCL2, EGF, EGFR, FGF, BNIP3, PI3, SP1, LON, MEF2D, GST, CHGA, SYP
[EMPTY_CELL]CA9, MEF2D
[EMPTY_CELL]NuclearHIF1, PHD2, PHD3, CXCR4, BNIP3, PI3, EGF, FOS
[EMPTY_CELL]PHD2, TSP (stroma), DLL4 (endothelium), FOS, STAT3
[EMPTY_CELL]None
[EMPTY_CELL]NuclearEPHB2, EPHB3,TRAP1
[EMPTY_CELL]CA9, PHD3, EPHB2, EPHB3, NCAM, P53, TRAP1, JMY
[EMPTY_CELL]EPHB3, GST
\", \"cells\": [{\"cell\": \"Expression status\", \"bbox\": [1, 4, 62, 14]}, {\"cell\": \"Intracellular expression localization\", \"bbox\": [163, 4, 244, 23]}, {\"cell\": \"Proteins\", \"bbox\": [256, 4, 286, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 31, 126, 41]}, {\"cell\": \"Nuclear\", \"bbox\": [163, 31, 189, 41]}, {\"cell\": \"VEGFA, TYMP, KDR, KDRp34, FIH, EPHB4, PHD1, SOD1, FGF, P53, SP1, STAT3, MEF2D, JMY, GST, CHGA\", \"bbox\": [256, 31, 469, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 52, 199, 62]}, {\"cell\": \"HIF1, HIF2, VEGFA, TYMP, KDR, KDRp34, FIH, PHD1, SOD1, CXCR4, EPHB4, BCL2, EGF, EGFR, FGF, BNIP3, PI3, SP1, LON, MEF2D, GST, CHGA, SYP\", \"bbox\": [256, 52, 484, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 74, 200, 83]}, {\"cell\": \"CA9, MEF2D\", \"bbox\": [256, 74, 297, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 86, 151, 113]}, {\"cell\": \"Nuclear\", \"bbox\": [163, 86, 189, 95]}, {\"cell\": \"HIF1, PHD2, PHD3, CXCR4, BNIP3, PI3, EGF, FOS\", \"bbox\": [256, 86, 404, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 98, 199, 107]}, {\"cell\": \"PHD2, TSP (stroma), DLL4 (endothelium), FOS, STAT3\", \"bbox\": [256, 98, 423, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 110, 200, 119]}, {\"cell\": \"None\", \"bbox\": [256, 110, 275, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 122, 149, 149]}, {\"cell\": \"Nuclear\", \"bbox\": [163, 122, 189, 131]}, {\"cell\": \"EPHB2, EPHB3,TRAP1\", \"bbox\": [256, 122, 324, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 134, 199, 143]}, {\"cell\": \"CA9, PHD3, EPHB2, EPHB3, NCAM, P53, TRAP1, JMY\", \"bbox\": [256, 134, 418, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 146, 200, 156]}, {\"cell\": \"EPHB3, GST\", \"bbox\": [256, 146, 294, 156]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4752802_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Programmable NucleaseExcision MethodHost CellTargetEdits IntroducedReference
ZFNCre/loxP[EMPTY_CELL]SNCA1 bp substitution and loxP site insertion[17]
ZFNpiggyBac[EMPTY_CELL]A1AT1 bp substitution of interest and 2 to generate TTAA site [20]
CRISPRpiggyBac[EMPTY_CELL]HBB1 bp substitution and 4 bp insertion *[15]
TALENpiggyBac[EMPTY_CELL]HBB3 bp substitutions[21]
TALENTALEN[EMPTY_CELL]Interge region (upstream of BUBR1)1 bp substitution[5]
\", \"cells\": [{\"cell\": \"Programmable Nuclease\", \"bbox\": [7, 7, 73, 33]}, {\"cell\": \"Excision Method\", \"bbox\": [83, 7, 121, 33]}, {\"cell\": \"Host Cell\", \"bbox\": [141, 7, 163, 33]}, {\"cell\": \"Target\", \"bbox\": [211, 14, 242, 25]}, {\"cell\": \"Edits Introduced\", \"bbox\": [320, 14, 395, 25]}, {\"cell\": \"Reference\", \"bbox\": [444, 14, 489, 25]}, {\"cell\": \"ZFN\", \"bbox\": [29, 45, 50, 56]}, {\"cell\": \"Cre/loxP\", \"bbox\": [84, 45, 121, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [144, 37, 160, 63]}, {\"cell\": \"SNCA\", \"bbox\": [213, 45, 240, 56]}, {\"cell\": \"1 bp substitution and loxP site insertion\", \"bbox\": [296, 37, 419, 63]}, {\"cell\": \"[17]\", \"bbox\": [457, 45, 476, 56]}, {\"cell\": \"ZFN\", \"bbox\": [29, 75, 50, 86]}, {\"cell\": \"piggyBac\", \"bbox\": [83, 75, 122, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [144, 75, 160, 86]}, {\"cell\": \"A1AT\", \"bbox\": [214, 75, 239, 86]}, {\"cell\": \"1 bp substitution of interest and 2 to generate TTAA site \", \"bbox\": [284, 67, 431, 93]}, {\"cell\": \"[20]\", \"bbox\": [457, 75, 476, 86]}, {\"cell\": \"CRISPR\", \"bbox\": [22, 99, 58, 110]}, {\"cell\": \"piggyBac\", \"bbox\": [83, 99, 122, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [144, 99, 160, 110]}, {\"cell\": \"HBB\", \"bbox\": [216, 99, 237, 110]}, {\"cell\": \"1 bp substitution and 4 bp insertion *\", \"bbox\": [282, 99, 433, 110]}, {\"cell\": \"[15]\", \"bbox\": [457, 99, 476, 110]}, {\"cell\": \"TALEN\", \"bbox\": [23, 117, 57, 128]}, {\"cell\": \"piggyBac\", \"bbox\": [83, 117, 122, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [144, 117, 160, 128]}, {\"cell\": \"HBB\", \"bbox\": [216, 117, 237, 128]}, {\"cell\": \"3 bp substitutions\", \"bbox\": [321, 117, 394, 128]}, {\"cell\": \"[21]\", \"bbox\": [457, 117, 476, 128]}, {\"cell\": \"TALEN\", \"bbox\": [23, 141, 57, 152]}, {\"cell\": \"TALEN\", \"bbox\": [85, 141, 120, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [134, 141, 171, 152]}, {\"cell\": \"Interge region (upstream of BUBR1)\", \"bbox\": [182, 133, 271, 159]}, {\"cell\": \"1 bp substitution\", \"bbox\": [323, 141, 392, 152]}, {\"cell\": \"[5]\", \"bbox\": [460, 141, 473, 152]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4613245_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Father[EMPTY_CELL]Mother
Not at all true (0)Somewhat true (1)True (2)Very true (3)Not at all true (0)Somewhat true (1)True (2)Very true (3)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]1. This parent warns me about potential dangers, to prevent accidents from happening[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]2. When I am anxious to do something, this parent cannot conceal his/her worries[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]3. This parent explicitly warns me that I should be careful when I leave home[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]4. This parent warns me that I should never talk to strangers because of bad things that might happen[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]5. When this parent is scared, his/her body language reveals his/her fear (e.g., fidgeting hands, sweating, trembling, touching neck or face)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]6. This parent shows when he/she is in panic in my presence[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]7. When this parent is scared, he/she has a fearful expression on his/her face in my presence[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]8. This parent shows me that he/she is afraid to do certain things[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]9. This parent warns me explicitly that I should avoid dangerous situations[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]10. This parent tells me that the world is not always a safe place[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]11. Even if this parent tries to hide his/her fear, I can still see that he/she is anxious[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]12. When I do something new or go to a new place, this parent warns me about the things that could go wrong[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]13. This parent points out to me that an accident can always happen[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]14. This parent warns me explicitly not to go along with unfamiliar people[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Father\", \"bbox\": [0, 5, 24, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Mother\", \"bbox\": [363, 5, 390, 15]}, {\"cell\": \"Not at all true (0)\", \"bbox\": [0, 22, 27, 51]}, {\"cell\": \"Somewhat true (1)\", \"bbox\": [37, 22, 74, 41]}, {\"cell\": \"True (2)\", \"bbox\": [84, 22, 102, 41]}, {\"cell\": \"Very true (3)\", \"bbox\": [111, 22, 130, 51]}, {\"cell\": \"Not at all true (0)\", \"bbox\": [363, 22, 389, 51]}, {\"cell\": \"Somewhat true (1)\", \"bbox\": [399, 22, 437, 41]}, {\"cell\": \"True (2)\", \"bbox\": [446, 22, 464, 41]}, {\"cell\": \"Very true (3)\", \"bbox\": [473, 22, 492, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1. This parent warns me about potential dangers, to prevent accidents from happening\", \"bbox\": [140, 60, 350, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2. When I am anxious to do something, this parent cannot conceal his/her worries\", \"bbox\": [140, 83, 345, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3. This parent explicitly warns me that I should be careful when I leave home\", \"bbox\": [140, 106, 346, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"4. This parent warns me that I should never talk to strangers because of bad things that might happen\", \"bbox\": [140, 129, 354, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"5. When this parent is scared, his/her body language reveals his/her fear (e.g., fidgeting hands, sweating, trembling, touching neck or face)\", \"bbox\": [140, 151, 352, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"6. This parent shows when he/she is in panic in my presence\", \"bbox\": [140, 184, 355, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"7. When this parent is scared, he/she has a fearful expression on his/her face in my presence\", \"bbox\": [140, 197, 356, 216]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"8. This parent shows me that he/she is afraid to do certain things\", \"bbox\": [140, 219, 346, 239]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"9. This parent warns me explicitly that I should avoid dangerous situations\", \"bbox\": [140, 242, 330, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"10. This parent tells me that the world is not always a safe place\", \"bbox\": [140, 265, 348, 284]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"11. Even if this parent tries to hide his/her fear, I can still see that he/she is anxious\", \"bbox\": [140, 288, 356, 307]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"12. When I do something new or go to a new place, this parent warns me about the things that could go wrong\", \"bbox\": [140, 310, 356, 330]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"13. This parent points out to me that an accident can always happen\", \"bbox\": [140, 333, 353, 353]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"14. This parent warns me explicitly not to go along with unfamiliar people\", \"bbox\": [140, 356, 340, 375]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5243885_009_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
EPRP mnemonicShort description
c7n[EMPTY_CELL]
Dmg23[EMPTY_CELL]
Dmg28[EMPTY_CELL]
Dmg31h[EMPTY_CELL]
Dmg7n[EMPTY_CELL]
htn10[EMPTY_CELL]
htn9[EMPTY_CELL]
p1[EMPTY_CELL]
p22[EMPTY_CELL]
p3h[EMPTY_CELL]
p4h[EMPTY_CELL]
p6h[EMPTY_CELL]
smg2n[EMPTY_CELL]
smg6[EMPTY_CELL]
smg7[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"EPRP mnemonic\", \"bbox\": [1, 4, 55, 13]}, {\"cell\": \"Short description\", \"bbox\": [79, 4, 135, 13]}, {\"cell\": \"c7n\", \"bbox\": [1, 17, 14, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 17, 169, 36]}, {\"cell\": \"Dmg23\", \"bbox\": [1, 40, 26, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 40, 210, 59]}, {\"cell\": \"Dmg28\", \"bbox\": [1, 63, 26, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 63, 217, 73]}, {\"cell\": \"Dmg31h\", \"bbox\": [1, 77, 30, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 77, 171, 96]}, {\"cell\": \"Dmg7n\", \"bbox\": [1, 100, 27, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 100, 168, 110]}, {\"cell\": \"htn10\", \"bbox\": [1, 114, 21, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 114, 182, 133]}, {\"cell\": \"htn9\", \"bbox\": [1, 137, 17, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 137, 171, 156]}, {\"cell\": \"p1\", \"bbox\": [1, 160, 11, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 160, 177, 179]}, {\"cell\": \"p22\", \"bbox\": [1, 183, 14, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 183, 194, 202]}, {\"cell\": \"p3h\", \"bbox\": [1, 206, 15, 216]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 206, 188, 225]}, {\"cell\": \"p4h\", \"bbox\": [1, 229, 15, 239]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 229, 200, 248]}, {\"cell\": \"p6h\", \"bbox\": [1, 252, 15, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 252, 194, 271]}, {\"cell\": \"smg2n\", \"bbox\": [1, 275, 24, 285]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 275, 197, 294]}, {\"cell\": \"smg6\", \"bbox\": [1, 298, 20, 308]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 298, 236, 317]}, {\"cell\": \"smg7\", \"bbox\": [1, 321, 20, 331]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 321, 163, 340]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5975441_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariablesNo. of patientsOSDFS
HR(95% CI)p valueHR(95% CI)p value
Sex[EMPTY_CELL][EMPTY_CELL]0.04*[EMPTY_CELL]0.14
Female[EMPTY_CELL]0.22(0.06-0.90)[EMPTY_CELL]0.44(0.15-1.2)[EMPTY_CELL]
Male[EMPTY_CELL]1[EMPTY_CELL]1[EMPTY_CELL]
Age, y[EMPTY_CELL][EMPTY_CELL]0.71[EMPTY_CELL]0.60
≤60[EMPTY_CELL]1[EMPTY_CELL]1[EMPTY_CELL]
>60[EMPTY_CELL]1.08(0.71-1.64)[EMPTY_CELL]1.12(0.75-1.66)[EMPTY_CELL]
Smoking status[EMPTY_CELL][EMPTY_CELL]0.54[EMPTY_CELL]0.43
Non or ex-smokers[EMPTY_CELL]1[EMPTY_CELL]1[EMPTY_CELL]
Smokers[EMPTY_CELL]1.28(0.87-1.79)[EMPTY_CELL]1.29(0.79-2.16)[EMPTY_CELL]
Cancer sites[EMPTY_CELL][EMPTY_CELL]0.73[EMPTY_CELL]0.56
Glottic[EMPTY_CELL]1[EMPTY_CELL]1[EMPTY_CELL]
Supraglottic[EMPTY_CELL]1.12(0.78-1.86)[EMPTY_CELL]1.24(0.46-1.89)[EMPTY_CELL]
Subglottic[EMPTY_CELL]1.27(0.86-2.03)[EMPTY_CELL]1.36(0.55-2.27)[EMPTY_CELL]
T classification[EMPTY_CELL][EMPTY_CELL]0.04*[EMPTY_CELL]0.03*
T1+2[EMPTY_CELL]1[EMPTY_CELL]1[EMPTY_CELL]
T3+4[EMPTY_CELL]1.55(1.10-2.23)[EMPTY_CELL]1.89(1.26-2.57)[EMPTY_CELL]
Nodal classification[EMPTY_CELL][EMPTY_CELL]0.001*[EMPTY_CELL]0.001*
N0[EMPTY_CELL]1[EMPTY_CELL]1[EMPTY_CELL]
N+[EMPTY_CELL]2.09(1.38-3.17)[EMPTY_CELL]1.77(1.21-2.54)[EMPTY_CELL]
Histological grade[EMPTY_CELL][EMPTY_CELL]0.03*[EMPTY_CELL]0.02*
Low[EMPTY_CELL]1[EMPTY_CELL]1[EMPTY_CELL]
High[EMPTY_CELL]1.32(1.16-2.04)[EMPTY_CELL]1.47(1.21-2.10)[EMPTY_CELL]
ALB/GLB Ratio[EMPTY_CELL][EMPTY_CELL]0.02*[EMPTY_CELL]0.006*
<1.28[EMPTY_CELL]1.67(1.10-2.54)[EMPTY_CELL]1.80(1.21-2.67)[EMPTY_CELL]
≥1.28[EMPTY_CELL]1[EMPTY_CELL]1[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Variables\", \"bbox\": [4, 14, 46, 25]}, {\"cell\": \"No. of patients\", \"bbox\": [131, 14, 195, 25]}, {\"cell\": \"OS\", \"bbox\": [267, 6, 283, 16]}, {\"cell\": \"DFS\", \"bbox\": [414, 6, 434, 16]}, {\"cell\": \"HR(95% CI)\", \"bbox\": [209, 22, 266, 33]}, {\"cell\": \"p value\", \"bbox\": [296, 22, 328, 33]}, {\"cell\": \"HR(95% CI)\", \"bbox\": [358, 22, 415, 33]}, {\"cell\": \"p value\", \"bbox\": [445, 22, 477, 33]}, {\"cell\": \"Sex\", \"bbox\": [3, 40, 20, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.04*\", \"bbox\": [300, 40, 324, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.14\", \"bbox\": [451, 40, 471, 51]}, {\"cell\": \" Female\", \"bbox\": [13, 57, 45, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 57, 169, 68]}, {\"cell\": \"0.22(0.06-0.90)\", \"bbox\": [205, 57, 270, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.44(0.15-1.2)\", \"bbox\": [357, 57, 416, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Male\", \"bbox\": [13, 74, 36, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 74, 172, 85]}, {\"cell\": \"1\", \"bbox\": [234, 74, 241, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [383, 74, 390, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Age, y\", \"bbox\": [3, 91, 32, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.71\", \"bbox\": [302, 91, 322, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.60\", \"bbox\": [451, 91, 471, 102]}, {\"cell\": \" ≤60\", \"bbox\": [13, 104, 31, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 108, 172, 119]}, {\"cell\": \"1\", \"bbox\": [234, 108, 241, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [383, 108, 390, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" >60\", \"bbox\": [13, 124, 31, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 124, 172, 136]}, {\"cell\": \"1.08(0.71-1.64)\", \"bbox\": [205, 124, 270, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.12(0.75-1.66)\", \"bbox\": [354, 124, 419, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Smoking status\", \"bbox\": [3, 141, 67, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.54\", \"bbox\": [302, 141, 322, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.43\", \"bbox\": [451, 141, 471, 152]}, {\"cell\": \" Non or ex-smokers\", \"bbox\": [13, 158, 92, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 158, 169, 169]}, {\"cell\": \"1\", \"bbox\": [234, 158, 241, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [383, 158, 390, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Smokers\", \"bbox\": [13, 175, 51, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 175, 172, 186]}, {\"cell\": \"1.28(0.87-1.79)\", \"bbox\": [205, 175, 270, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.29(0.79-2.16)\", \"bbox\": [354, 175, 419, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Cancer sites\", \"bbox\": [3, 192, 54, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.73\", \"bbox\": [302, 192, 322, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.56\", \"bbox\": [451, 192, 471, 203]}, {\"cell\": \" Glottic\", \"bbox\": [13, 209, 43, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 209, 172, 220]}, {\"cell\": \"1\", \"bbox\": [234, 209, 241, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [383, 209, 390, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Supraglottic\", \"bbox\": [13, 226, 64, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 226, 169, 237]}, {\"cell\": \"1.12(0.78-1.86)\", \"bbox\": [205, 226, 270, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.24(0.46-1.89)\", \"bbox\": [354, 226, 419, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Subglottic\", \"bbox\": [13, 243, 57, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 243, 169, 254]}, {\"cell\": \"1.27(0.86-2.03)\", \"bbox\": [205, 243, 270, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.36(0.55-2.27)\", \"bbox\": [354, 243, 419, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"T classification\", \"bbox\": [3, 256, 66, 272]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.04*\", \"bbox\": [300, 260, 324, 271]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.03*\", \"bbox\": [449, 260, 473, 271]}, {\"cell\": \" T1+2\", \"bbox\": [13, 277, 37, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 277, 172, 288]}, {\"cell\": \"1\", \"bbox\": [234, 277, 241, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [383, 277, 390, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" T3+4\", \"bbox\": [13, 294, 37, 305]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 294, 169, 305]}, {\"cell\": \"1.55(1.10-2.23)\", \"bbox\": [205, 294, 270, 305]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.89(1.26-2.57)\", \"bbox\": [354, 294, 419, 305]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Nodal classification\", \"bbox\": [3, 307, 85, 323]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.001*\", \"bbox\": [297, 311, 327, 322]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.001*\", \"bbox\": [446, 311, 476, 322]}, {\"cell\": \" N0\", \"bbox\": [13, 328, 28, 339]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 328, 172, 339]}, {\"cell\": \"1\", \"bbox\": [234, 328, 241, 339]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [383, 328, 390, 339]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" N+\", \"bbox\": [13, 345, 28, 356]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 345, 169, 356]}, {\"cell\": \"2.09(1.38-3.17)\", \"bbox\": [205, 345, 270, 356]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.77(1.21-2.54)\", \"bbox\": [354, 345, 419, 356]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Histological grade\", \"bbox\": [3, 362, 79, 373]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.03*\", \"bbox\": [300, 362, 324, 373]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.02*\", \"bbox\": [449, 362, 473, 373]}, {\"cell\": \" Low\", \"bbox\": [13, 378, 34, 390]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 378, 172, 390]}, {\"cell\": \"1\", \"bbox\": [234, 378, 241, 390]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [383, 378, 390, 390]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" High\", \"bbox\": [13, 395, 35, 406]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 395, 172, 406]}, {\"cell\": \"1.32(1.16-2.04)\", \"bbox\": [205, 395, 270, 406]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.47(1.21-2.10)\", \"bbox\": [354, 395, 419, 406]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"ALB/GLB Ratio\", \"bbox\": [3, 412, 72, 423]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.02*\", \"bbox\": [300, 412, 324, 423]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.006*\", \"bbox\": [446, 412, 476, 423]}, {\"cell\": \" <1.28\", \"bbox\": [13, 429, 39, 440]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 429, 169, 440]}, {\"cell\": \"1.67(1.10-2.54)\", \"bbox\": [205, 429, 270, 440]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.80(1.21-2.67)\", \"bbox\": [354, 429, 419, 440]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" ≥1.28\", \"bbox\": [13, 443, 38, 458]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 446, 172, 457]}, {\"cell\": \"1\", \"bbox\": [234, 446, 241, 457]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [383, 446, 390, 457]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5564641_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
ContrastAuthorsTaskNumber of subjectsNumber of FociStatistical thresholdSmoothing FWHM (mm)
Task > ControlBanko et al., 2011Face recognition164FDR 0.05[EMPTY_CELL]
[EMPTY_CELL]Bode et al., 2012Object recognition141FWE 0.001[EMPTY_CELL]
[EMPTY_CELL]Ivanoff et al., 2008RDM motion discrimination2249FDR 0.05[EMPTY_CELL]
[EMPTY_CELL]Kahnt et al., 2011Gabor patch orientation discrimination207Unc. 0.0001[EMPTY_CELL]
[EMPTY_CELL]Lewis et al., 2000Auditory motion discrimination109Unc. 1 × 10−5[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]RDM discrimination910Unc. 1 × 10−11[EMPTY_CELL]
[EMPTY_CELL]Lundblad et al., 2011Tactile motion discrimination1624FWE 0.05[EMPTY_CELL]
[EMPTY_CELL]Singh and Fawcett, 2008*RDM discrimination730Cluster 0.01[EMPTY_CELL]
[EMPTY_CELL]Snyder et al., 2011RDM discrimination1015FDR 0.05[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]Object recognition1011FDR 0.05[EMPTY_CELL]
Hard > EasyBanko et al., 2011Face recognition1610FDR 0.05[EMPTY_CELL]
[EMPTY_CELL]Bode et al., 2012Object recognition141FWE 0.001[EMPTY_CELL]
[EMPTY_CELL]Fleming et al., 2010*Face vs house discrimination142Cluster 0.001[EMPTY_CELL]
[EMPTY_CELL]Heekeren et al., 2004Face vs house discrimination1214Unc. 0.0001[EMPTY_CELL]
[EMPTY_CELL]Heekeren et al., 2006*RDM discrimination85Unc. 0.005[EMPTY_CELL]
[EMPTY_CELL]Ho et al., 2009RDM discrimination1111FDR 0.05[EMPTY_CELL]
[EMPTY_CELL]Kayser et al., 2010aRDM discrimination522Unc. 0.0001[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]Color discrimination518Unc. 0.0001[EMPTY_CELL]
[EMPTY_CELL]Kayser et al., 2010bRDM discrimination625Unc. 0.0001[EMPTY_CELL]
[EMPTY_CELL]Noppeney et al., 2010Object recognition199Cluster 0.05[EMPTY_CELL]
[EMPTY_CELL]Philiastides and Sajda, 2007*Face vs. cars discrimination125Cluster 0.05[EMPTY_CELL]
[EMPTY_CELL]Sunaert et al., 2000RDM discrimination85Cluster 0.05[EMPTY_CELL]
[EMPTY_CELL]Tosoni et al., 2008*Face vs. house discrimination1218Unc. 0.05[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Contrast\", \"bbox\": [0, 6, 33, 15]}, {\"cell\": \"Authors\", \"bbox\": [59, 6, 90, 15]}, {\"cell\": \"Task\", \"bbox\": [168, 6, 186, 15]}, {\"cell\": \"Number of subjects\", \"bbox\": [304, 6, 345, 26]}, {\"cell\": \"Number of Foci\", \"bbox\": [352, 6, 393, 26]}, {\"cell\": \"Statistical threshold\", \"bbox\": [401, 6, 439, 26]}, {\"cell\": \"Smoothing FWHM (mm)\", \"bbox\": [460, 6, 507, 26]}, {\"cell\": \"Task > Control\", \"bbox\": [0, 37, 51, 46]}, {\"cell\": \"Banko et al., 2011\", \"bbox\": [59, 37, 120, 46]}, {\"cell\": \"Face recognition\", \"bbox\": [168, 37, 225, 46]}, {\"cell\": \"16\", \"bbox\": [319, 37, 329, 46]}, {\"cell\": \"4\", \"bbox\": [370, 37, 376, 46]}, {\"cell\": \"FDR 0.05\", \"bbox\": [401, 37, 434, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [480, 37, 487, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Bode et al., 2012\", \"bbox\": [59, 48, 117, 57]}, {\"cell\": \"Object recognition\", \"bbox\": [168, 48, 232, 57]}, {\"cell\": \"14\", \"bbox\": [319, 48, 329, 57]}, {\"cell\": \"1\", \"bbox\": [370, 48, 376, 57]}, {\"cell\": \"FWE 0.001\", \"bbox\": [401, 48, 439, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [480, 48, 487, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ivanoff et al., 2008\", \"bbox\": [59, 59, 123, 68]}, {\"cell\": \"RDM motion discrimination\", \"bbox\": [168, 59, 262, 68]}, {\"cell\": \"22\", \"bbox\": [319, 59, 330, 68]}, {\"cell\": \"49\", \"bbox\": [367, 59, 378, 68]}, {\"cell\": \"FDR 0.05\", \"bbox\": [401, 59, 434, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [480, 59, 487, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Kahnt et al., 2011\", \"bbox\": [59, 70, 118, 79]}, {\"cell\": \"Gabor patch orientation discrimination\", \"bbox\": [168, 70, 296, 79]}, {\"cell\": \"20\", \"bbox\": [319, 70, 330, 79]}, {\"cell\": \"7\", \"bbox\": [370, 70, 376, 79]}, {\"cell\": \"Unc. 0.0001\", \"bbox\": [401, 70, 443, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [480, 70, 487, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Lewis et al., 2000\", \"bbox\": [59, 81, 120, 90]}, {\"cell\": \"Auditory motion discrimination\", \"bbox\": [168, 81, 272, 90]}, {\"cell\": \"10\", \"bbox\": [320, 81, 329, 90]}, {\"cell\": \"9\", \"bbox\": [370, 81, 376, 90]}, {\"cell\": \"Unc. 1 × 10−5\", \"bbox\": [401, 79, 449, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [480, 81, 486, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"RDM discrimination\", \"bbox\": [168, 92, 236, 101]}, {\"cell\": \"9\", \"bbox\": [321, 92, 328, 101]}, {\"cell\": \"10\", \"bbox\": [368, 92, 377, 101]}, {\"cell\": \"Unc. 1 × 10−11\", \"bbox\": [401, 90, 451, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [480, 92, 486, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Lundblad et al., 2011\", \"bbox\": [59, 103, 129, 112]}, {\"cell\": \"Tactile motion discrimination\", \"bbox\": [168, 103, 265, 112]}, {\"cell\": \"16\", \"bbox\": [319, 103, 329, 112]}, {\"cell\": \"24\", \"bbox\": [367, 103, 378, 112]}, {\"cell\": \"FWE 0.05\", \"bbox\": [401, 103, 436, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [480, 103, 487, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Singh and Fawcett, 2008*\", \"bbox\": [59, 114, 147, 123]}, {\"cell\": \"RDM discrimination\", \"bbox\": [168, 114, 236, 123]}, {\"cell\": \"7\", \"bbox\": [321, 114, 327, 123]}, {\"cell\": \"30\", \"bbox\": [367, 114, 378, 123]}, {\"cell\": \"Cluster 0.01\", \"bbox\": [401, 114, 442, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [480, 114, 487, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Snyder et al., 2011\", \"bbox\": [59, 125, 122, 134]}, {\"cell\": \"RDM discrimination\", \"bbox\": [168, 125, 236, 134]}, {\"cell\": \"10\", \"bbox\": [320, 125, 329, 134]}, {\"cell\": \"15\", \"bbox\": [368, 125, 378, 134]}, {\"cell\": \"FDR 0.05\", \"bbox\": [401, 125, 434, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [480, 125, 487, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Object recognition\", \"bbox\": [168, 136, 232, 145]}, {\"cell\": \"10\", \"bbox\": [320, 136, 329, 145]}, {\"cell\": \"11\", \"bbox\": [368, 136, 377, 145]}, {\"cell\": \"FDR 0.05\", \"bbox\": [401, 136, 434, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [480, 136, 487, 145]}, {\"cell\": \"Hard > Easy\", \"bbox\": [0, 155, 44, 164]}, {\"cell\": \"Banko et al., 2011\", \"bbox\": [59, 155, 120, 164]}, {\"cell\": \"Face recognition\", \"bbox\": [168, 155, 225, 164]}, {\"cell\": \"16\", \"bbox\": [319, 155, 329, 164]}, {\"cell\": \"10\", \"bbox\": [368, 155, 377, 164]}, {\"cell\": \"FDR 0.05\", \"bbox\": [401, 155, 434, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [480, 155, 487, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Bode et al., 2012\", \"bbox\": [59, 166, 117, 175]}, {\"cell\": \"Object recognition\", \"bbox\": [168, 166, 232, 175]}, {\"cell\": \"14\", \"bbox\": [319, 166, 329, 175]}, {\"cell\": \"1\", \"bbox\": [370, 166, 376, 175]}, {\"cell\": \"FWE 0.001\", \"bbox\": [401, 166, 439, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [480, 166, 487, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Fleming et al., 2010*\", \"bbox\": [59, 177, 130, 186]}, {\"cell\": \"Face vs house discrimination\", \"bbox\": [168, 177, 267, 186]}, {\"cell\": \"14\", \"bbox\": [319, 177, 329, 186]}, {\"cell\": \"2\", \"bbox\": [370, 177, 376, 186]}, {\"cell\": \"Cluster 0.001\", \"bbox\": [401, 177, 447, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [480, 177, 487, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Heekeren et al., 2004\", \"bbox\": [59, 188, 133, 197]}, {\"cell\": \"Face vs house discrimination\", \"bbox\": [168, 188, 267, 197]}, {\"cell\": \"12\", \"bbox\": [319, 188, 329, 197]}, {\"cell\": \"14\", \"bbox\": [368, 188, 378, 197]}, {\"cell\": \"Unc. 0.0001\", \"bbox\": [401, 188, 443, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [480, 188, 487, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Heekeren et al., 2006*\", \"bbox\": [59, 199, 137, 208]}, {\"cell\": \"RDM discrimination\", \"bbox\": [168, 199, 236, 208]}, {\"cell\": \"8\", \"bbox\": [321, 199, 327, 208]}, {\"cell\": \"5\", \"bbox\": [369, 199, 376, 208]}, {\"cell\": \"Unc. 0.005\", \"bbox\": [401, 199, 439, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [480, 199, 487, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ho et al., 2009\", \"bbox\": [59, 210, 110, 219]}, {\"cell\": \"RDM discrimination\", \"bbox\": [168, 210, 236, 219]}, {\"cell\": \"11\", \"bbox\": [320, 210, 329, 219]}, {\"cell\": \"11\", \"bbox\": [368, 210, 377, 219]}, {\"cell\": \"FDR 0.05\", \"bbox\": [401, 210, 434, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [480, 210, 487, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Kayser et al., 2010a\", \"bbox\": [59, 221, 125, 230]}, {\"cell\": \"RDM discrimination\", \"bbox\": [168, 221, 236, 230]}, {\"cell\": \"5\", \"bbox\": [321, 221, 328, 230]}, {\"cell\": \"22\", \"bbox\": [367, 221, 378, 230]}, {\"cell\": \"Unc. 0.0001\", \"bbox\": [401, 221, 443, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [480, 221, 487, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Color discrimination\", \"bbox\": [168, 232, 236, 241]}, {\"cell\": \"5\", \"bbox\": [321, 232, 328, 241]}, {\"cell\": \"18\", \"bbox\": [368, 232, 378, 241]}, {\"cell\": \"Unc. 0.0001\", \"bbox\": [401, 232, 443, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [480, 232, 487, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Kayser et al., 2010b\", \"bbox\": [59, 243, 126, 252]}, {\"cell\": \"RDM discrimination\", \"bbox\": [168, 243, 236, 252]}, {\"cell\": \"6\", \"bbox\": [321, 243, 328, 252]}, {\"cell\": \"25\", \"bbox\": [367, 243, 378, 252]}, {\"cell\": \"Unc. 0.0001\", \"bbox\": [401, 243, 443, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [480, 243, 487, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Noppeney et al., 2010\", \"bbox\": [59, 254, 133, 263]}, {\"cell\": \"Object recognition\", \"bbox\": [168, 254, 232, 263]}, {\"cell\": \"19\", \"bbox\": [319, 254, 329, 263]}, {\"cell\": \"9\", \"bbox\": [369, 254, 376, 263]}, {\"cell\": \"Cluster 0.05\", \"bbox\": [401, 254, 443, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [480, 254, 487, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Philiastides and Sajda, 2007*\", \"bbox\": [59, 265, 158, 274]}, {\"cell\": \"Face vs. cars discrimination\", \"bbox\": [168, 265, 262, 274]}, {\"cell\": \"12\", \"bbox\": [319, 265, 329, 274]}, {\"cell\": \"5\", \"bbox\": [370, 265, 376, 274]}, {\"cell\": \"Cluster 0.05\", \"bbox\": [401, 265, 443, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [480, 265, 487, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Sunaert et al., 2000\", \"bbox\": [59, 276, 127, 285]}, {\"cell\": \"RDM discrimination\", \"bbox\": [168, 276, 236, 285]}, {\"cell\": \"8\", \"bbox\": [321, 276, 327, 285]}, {\"cell\": \"5\", \"bbox\": [369, 276, 376, 285]}, {\"cell\": \"Cluster 0.05\", \"bbox\": [401, 276, 443, 285]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [479, 276, 488, 285]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Tosoni et al., 2008*\", \"bbox\": [59, 287, 126, 296]}, {\"cell\": \"Face vs. house discrimination\", \"bbox\": [168, 287, 269, 296]}, {\"cell\": \"12\", \"bbox\": [319, 287, 329, 296]}, {\"cell\": \"18\", \"bbox\": [368, 287, 378, 296]}, {\"cell\": \"Unc. 0.05\", \"bbox\": [401, 287, 435, 296]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [476, 287, 491, 296]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4063192_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Demographic variables(n = 149)
Toddlers’ characteristics
Age (months)[EMPTY_CELL]
Sex
Male[EMPTY_CELL]
Female[EMPTY_CELL]
Race/Ethnicity
European-Canadian/Caucasian[EMPTY_CELL]
Other[EMPTY_CELL]
Main type of child care
Parental[EMPTY_CELL]
Child care center[EMPTY_CELL]
Day home[EMPTY_CELL]
Other[EMPTY_CELL]
Number of siblings
None[EMPTY_CELL]
1[EMPTY_CELL]
≥ 2[EMPTY_CELL]
Parental characteristics
Age (years)[EMPTY_CELL]
Sex
Male[EMPTY_CELL]
Female[EMPTY_CELL]
Marital status
Not married[EMPTY_CELL]
Married[EMPTY_CELL]
Country of birth
Canada[EMPTY_CELL]
Other[EMPTY_CELL]
Highest level of education
Post-graduate[EMPTY_CELL]
University[EMPTY_CELL]
Community/Technical college[EMPTY_CELL]
High school (grades 9 –12)[EMPTY_CELL]
Household income (n = 142)
> $100,000[EMPTY_CELL]
$50,001 to $100,000[EMPTY_CELL]
≤ $50,000[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Demographic variables\", \"bbox\": [1, 4, 76, 13]}, {\"cell\": \"(n = 149)\", \"bbox\": [198, 4, 227, 13]}, {\"cell\": \"Toddlers’ characteristics\", \"bbox\": [1, 17, 78, 27]}, {\"cell\": \" Age (months)\", \"bbox\": [9, 31, 54, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 31, 233, 41]}, {\"cell\": \" Sex\", \"bbox\": [9, 45, 21, 55]}, {\"cell\": \" Male\", \"bbox\": [9, 59, 26, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 59, 233, 69]}, {\"cell\": \" Female\", \"bbox\": [9, 73, 34, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 73, 233, 83]}, {\"cell\": \"Race/Ethnicity\", \"bbox\": [1, 87, 47, 97]}, {\"cell\": \" European-Canadian/Caucasian\", \"bbox\": [9, 101, 107, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 101, 233, 111]}, {\"cell\": \" Other\", \"bbox\": [9, 115, 29, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 115, 233, 125]}, {\"cell\": \"Main type of child care\", \"bbox\": [1, 129, 77, 139]}, {\"cell\": \" Parental\", \"bbox\": [9, 143, 36, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 143, 233, 153]}, {\"cell\": \" Child care center\", \"bbox\": [9, 157, 65, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 157, 233, 167]}, {\"cell\": \" Day home\", \"bbox\": [9, 171, 44, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 171, 233, 180]}, {\"cell\": \" Other\", \"bbox\": [9, 185, 29, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 185, 233, 194]}, {\"cell\": \"Number of siblings\", \"bbox\": [1, 199, 64, 208]}, {\"cell\": \" None\", \"bbox\": [9, 213, 28, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 213, 233, 222]}, {\"cell\": \" 1\", \"bbox\": [9, 227, 14, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 227, 233, 236]}, {\"cell\": \"≥ 2\", \"bbox\": [10, 241, 23, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 241, 233, 250]}, {\"cell\": \"Parental characteristics\", \"bbox\": [1, 255, 75, 264]}, {\"cell\": \" Age (years)\", \"bbox\": [9, 269, 46, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 269, 233, 278]}, {\"cell\": \" Sex\", \"bbox\": [9, 283, 21, 292]}, {\"cell\": \" Male\", \"bbox\": [9, 297, 26, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 297, 233, 306]}, {\"cell\": \" Female\", \"bbox\": [9, 311, 34, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 311, 236, 320]}, {\"cell\": \"Marital status\", \"bbox\": [1, 325, 45, 334]}, {\"cell\": \" Not married\", \"bbox\": [9, 339, 49, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 339, 233, 348]}, {\"cell\": \" Married\", \"bbox\": [9, 353, 35, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 353, 236, 362]}, {\"cell\": \"Country of birth\", \"bbox\": [1, 367, 54, 376]}, {\"cell\": \" Canada\", \"bbox\": [9, 381, 34, 390]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 381, 236, 390]}, {\"cell\": \" Other\", \"bbox\": [9, 395, 29, 404]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 395, 233, 404]}, {\"cell\": \"Highest level of education\", \"bbox\": [1, 409, 87, 418]}, {\"cell\": \" Post-graduate\", \"bbox\": [9, 423, 55, 432]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 423, 233, 432]}, {\"cell\": \" University\", \"bbox\": [9, 437, 42, 446]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 437, 233, 446]}, {\"cell\": \" Community/Technical college\", \"bbox\": [9, 451, 106, 460]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 451, 233, 460]}, {\"cell\": \" High school (grades 9 –12)\", \"bbox\": [9, 465, 97, 474]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 465, 233, 474]}, {\"cell\": \"Household income (n = 142)\", \"bbox\": [1, 479, 93, 488]}, {\"cell\": \"> $100,000\", \"bbox\": [10, 493, 47, 502]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 493, 233, 502]}, {\"cell\": \" $50,001 to $100,000\", \"bbox\": [9, 507, 74, 516]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 507, 233, 516]}, {\"cell\": \"≤ $50,000\", \"bbox\": [10, 521, 43, 530]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 521, 233, 530]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5307818_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Items*1234567
I find it interesting to work with people with backgrounds from different countries.1,00[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
It is more difficult to communicate with staff whose background is from a country other than my own.,341,00[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
I learn new things about life from cooperating with people from other countries.,46,291,00[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
If I can choose, I prefer to cooperate with a staff member whose background is from the same country as me rather than with staff from other countries.,33,50,281,00[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Misunderstandings occur more often when I collaborate with colleagues whose backgrounds are from countries other than my own.,33,67,24,441,00[EMPTY_CELL][EMPTY_CELL]
A person with a background other than Swedish is uninterested in learning about Swedish values, norms, and habits.,32,33,30,32,34[EMPTY_CELL][EMPTY_CELL]
People with a background other than Swedish don’t take as much responsibility in their work as a person with a Swedish background.,26,30,27,31,31[EMPTY_CELL]1,00
\", \"cells\": [{\"cell\": \"Items*\", \"bbox\": [1, 4, 25, 13]}, {\"cell\": \"1\", \"bbox\": [284, 4, 290, 13]}, {\"cell\": \"2\", \"bbox\": [314, 4, 320, 13]}, {\"cell\": \"3\", \"bbox\": [345, 4, 351, 13]}, {\"cell\": \"4\", \"bbox\": [376, 4, 382, 13]}, {\"cell\": \"5\", \"bbox\": [406, 4, 413, 13]}, {\"cell\": \"6\", \"bbox\": [437, 4, 443, 13]}, {\"cell\": \"7\", \"bbox\": [468, 4, 474, 13]}, {\"cell\": \"I find it interesting to work with people with backgrounds from different countries.\", \"bbox\": [1, 17, 269, 27]}, {\"cell\": \"1,00\", \"bbox\": [284, 17, 300, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"It is more difficult to communicate with staff whose background is from a country other than my own.\", \"bbox\": [1, 31, 210, 50]}, {\"cell\": \",34\", \"bbox\": [284, 31, 295, 41]}, {\"cell\": \"1,00\", \"bbox\": [314, 31, 331, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"I learn new things about life from cooperating with people from other countries.\", \"bbox\": [1, 54, 168, 73]}, {\"cell\": \",46\", \"bbox\": [284, 54, 295, 64]}, {\"cell\": \",29\", \"bbox\": [314, 54, 325, 64]}, {\"cell\": \"1,00\", \"bbox\": [345, 54, 362, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"If I can choose, I prefer to cooperate with a staff member whose background is from the same country as me rather than with staff from other countries.\", \"bbox\": [1, 77, 190, 105]}, {\"cell\": \",33\", \"bbox\": [284, 77, 295, 87]}, {\"cell\": \",50\", \"bbox\": [314, 77, 325, 87]}, {\"cell\": \",28\", \"bbox\": [345, 77, 356, 87]}, {\"cell\": \"1,00\", \"bbox\": [376, 77, 392, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Misunderstandings occur more often when I collaborate with colleagues whose backgrounds are from countries other than my own.\", \"bbox\": [1, 109, 236, 128]}, {\"cell\": \",33\", \"bbox\": [284, 109, 295, 119]}, {\"cell\": \",67\", \"bbox\": [314, 109, 325, 119]}, {\"cell\": \",24\", \"bbox\": [345, 109, 356, 119]}, {\"cell\": \",44\", \"bbox\": [376, 109, 387, 119]}, {\"cell\": \"1,00\", \"bbox\": [406, 109, 423, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"A person with a background other than Swedish is uninterested in learning about Swedish values, norms, and habits.\", \"bbox\": [1, 132, 217, 151]}, {\"cell\": \",32\", \"bbox\": [284, 132, 295, 142]}, {\"cell\": \",33\", \"bbox\": [314, 132, 325, 142]}, {\"cell\": \",30\", \"bbox\": [345, 132, 356, 142]}, {\"cell\": \",32\", \"bbox\": [376, 132, 387, 142]}, {\"cell\": \",34\", \"bbox\": [406, 132, 417, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [437, 132, 454, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"People with a background other than Swedish don’t take as much responsibility in their work as a person with a Swedish background.\", \"bbox\": [1, 155, 220, 174]}, {\"cell\": \",26\", \"bbox\": [284, 155, 295, 165]}, {\"cell\": \",30\", \"bbox\": [314, 155, 325, 165]}, {\"cell\": \",27\", \"bbox\": [345, 155, 356, 165]}, {\"cell\": \",31\", \"bbox\": [376, 155, 387, 165]}, {\"cell\": \",31\", \"bbox\": [406, 155, 417, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [437, 155, 452, 165]}, {\"cell\": \"1,00\", \"bbox\": [468, 155, 484, 164]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3644252_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
CharacteristicTotal sample (n = 325)GPS study invite (n = 74)pGPS participant (n = 41)pGPS walking trips (n = 19)p
Gender (%)[EMPTY_CELL][EMPTY_CELL]0.908[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.164
Male32.3131.08[EMPTY_CELL]39.02[EMPTY_CELL]50.00[EMPTY_CELL]
Female67.6968.92[EMPTY_CELL]60.98[EMPTY_CELL]50.00[EMPTY_CELL]
Highest education level (%)[EMPTY_CELL][EMPTY_CELL]0.802[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.140
Secondary or less47.6947.30[EMPTY_CELL]43.90[EMPTY_CELL]27.78[EMPTY_CELL]
Trade/certificate40.9243.24[EMPTY_CELL]46.34[EMPTY_CELL]50.00[EMPTY_CELL]
Bachelor or higher11.399.46[EMPTY_CELL]9.76[EMPTY_CELL]22.22[EMPTY_CELL]
Marital status (%)[EMPTY_CELL][EMPTY_CELL]0.929[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.148
Not married47.0854.05[EMPTY_CELL]48.78[EMPTY_CELL]72.22[EMPTY_CELL]
Married52.9245.95[EMPTY_CELL]51.22[EMPTY_CELL]27.78[EMPTY_CELL]
Age (mean years/SD)76.82 (7.43)75.97 (7.02)0.26374.39 (7.16)[EMPTY_CELL]72.72 (7.80)0.015
Physical functioning (mean score/SD)80.84 (16.05)82.04 (14.78)0.46685.65 (13.65)[EMPTY_CELL]87.80 (13.93)0.066
BMI (mean score/SD)25.02 (4.51)25.30 (4.57)0.54026.52 (4.63)[EMPTY_CELL]26.47 (4.70)0.159
\", \"cells\": [{\"cell\": \"Characteristic\", \"bbox\": [1, 4, 49, 13]}, {\"cell\": \"Total sample (n = 325)\", \"bbox\": [134, 4, 180, 22]}, {\"cell\": \"GPS study invite (n = 74)\", \"bbox\": [192, 4, 251, 22]}, {\"cell\": \"p\", \"bbox\": [263, 4, 269, 13]}, {\"cell\": \"GPS participant (n = 41)\", \"bbox\": [293, 4, 349, 22]}, {\"cell\": \"p\", \"bbox\": [361, 4, 367, 13]}, {\"cell\": \"GPS walking trips (n = 19)\", \"bbox\": [391, 4, 454, 22]}, {\"cell\": \"p\", \"bbox\": [466, 4, 472, 13]}, {\"cell\": \"Gender (%)\", \"bbox\": [1, 26, 38, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.908\", \"bbox\": [263, 26, 281, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [361, 26, 379, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.164\", \"bbox\": [466, 26, 484, 36]}, {\"cell\": \"Male\", \"bbox\": [1, 40, 18, 50]}, {\"cell\": \"32.31\", \"bbox\": [134, 40, 152, 50]}, {\"cell\": \"31.08\", \"bbox\": [192, 40, 211, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"39.02\", \"bbox\": [293, 40, 312, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"50.00\", \"bbox\": [391, 40, 410, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Female\", \"bbox\": [1, 54, 26, 64]}, {\"cell\": \"67.69\", \"bbox\": [134, 54, 152, 64]}, {\"cell\": \"68.92\", \"bbox\": [192, 54, 211, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"60.98\", \"bbox\": [293, 54, 312, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"50.00\", \"bbox\": [391, 54, 410, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Highest education level (%)\", \"bbox\": [1, 68, 90, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.802\", \"bbox\": [263, 68, 281, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [361, 68, 379, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.140\", \"bbox\": [466, 68, 484, 78]}, {\"cell\": \"Secondary or less\", \"bbox\": [1, 82, 58, 92]}, {\"cell\": \"47.69\", \"bbox\": [134, 82, 152, 92]}, {\"cell\": \"47.30\", \"bbox\": [192, 82, 211, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"43.90\", \"bbox\": [293, 82, 312, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"27.78\", \"bbox\": [391, 82, 410, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Trade/certificate\", \"bbox\": [1, 96, 54, 106]}, {\"cell\": \"40.92\", \"bbox\": [134, 96, 152, 106]}, {\"cell\": \"43.24\", \"bbox\": [192, 96, 211, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"46.34\", \"bbox\": [293, 96, 312, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"50.00\", \"bbox\": [391, 96, 410, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Bachelor or higher\", \"bbox\": [1, 110, 62, 120]}, {\"cell\": \"11.39\", \"bbox\": [134, 110, 152, 120]}, {\"cell\": \"9.46\", \"bbox\": [192, 110, 207, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"9.76\", \"bbox\": [293, 110, 308, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"22.22\", \"bbox\": [391, 110, 410, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Marital status (%)\", \"bbox\": [1, 124, 57, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.929\", \"bbox\": [263, 124, 281, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [361, 124, 379, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.148\", \"bbox\": [466, 124, 484, 134]}, {\"cell\": \"Not married\", \"bbox\": [1, 138, 41, 148]}, {\"cell\": \"47.08\", \"bbox\": [134, 138, 152, 148]}, {\"cell\": \"54.05\", \"bbox\": [192, 138, 211, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"48.78\", \"bbox\": [293, 138, 312, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"72.22\", \"bbox\": [391, 138, 410, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Married\", \"bbox\": [1, 152, 27, 162]}, {\"cell\": \"52.92\", \"bbox\": [134, 152, 152, 162]}, {\"cell\": \"45.95\", \"bbox\": [192, 152, 211, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"51.22\", \"bbox\": [293, 152, 312, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"27.78\", \"bbox\": [391, 152, 410, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Age (mean years/SD)\", \"bbox\": [1, 166, 70, 176]}, {\"cell\": \"76.82 (7.43)\", \"bbox\": [134, 166, 172, 176]}, {\"cell\": \"75.97 (7.02)\", \"bbox\": [192, 166, 230, 176]}, {\"cell\": \"0.263\", \"bbox\": [263, 166, 281, 176]}, {\"cell\": \"74.39 (7.16)\", \"bbox\": [293, 166, 331, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [361, 166, 379, 176]}, {\"cell\": \"72.72 (7.80)\", \"bbox\": [391, 166, 429, 176]}, {\"cell\": \"0.015\", \"bbox\": [466, 166, 484, 176]}, {\"cell\": \"Physical functioning (mean score/SD)\", \"bbox\": [1, 180, 122, 190]}, {\"cell\": \"80.84 (16.05)\", \"bbox\": [134, 180, 176, 190]}, {\"cell\": \"82.04 (14.78)\", \"bbox\": [192, 180, 234, 190]}, {\"cell\": \"0.466\", \"bbox\": [263, 180, 281, 190]}, {\"cell\": \"85.65 (13.65)\", \"bbox\": [293, 180, 335, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [361, 180, 379, 190]}, {\"cell\": \"87.80 (13.93)\", \"bbox\": [391, 180, 433, 190]}, {\"cell\": \"0.066\", \"bbox\": [466, 180, 484, 190]}, {\"cell\": \"BMI (mean score/SD)\", \"bbox\": [1, 194, 70, 204]}, {\"cell\": \"25.02 (4.51)\", \"bbox\": [134, 194, 172, 204]}, {\"cell\": \"25.30 (4.57)\", \"bbox\": [192, 194, 230, 204]}, {\"cell\": \"0.540\", \"bbox\": [263, 194, 281, 204]}, {\"cell\": \"26.52 (4.63)\", \"bbox\": [293, 194, 331, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [361, 194, 379, 204]}, {\"cell\": \"26.47 (4.70)\", \"bbox\": [391, 194, 429, 204]}, {\"cell\": \"0.159\", \"bbox\": [466, 194, 484, 204]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3490929_006_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
ReferenceSIGN QualityAnthocyanin Dose (mg/Day)CVD-Related Disease StatusLDL (mg/dL)HDL (mg/dL)Total Cholesterol (mg/dL)
Percent Change in InterventionPercent Change in ControlPercent Difference Compared with ControlPPercent Change in InterventionPercent Change in ControlPercent Difference Compared with ControlPPercent Change in InterventionPercent Change in ControlPercent Difference Compared with ControlP
Curtis et al., 2009 [26]H500Healthy0.00−5.715.71NS0.000.000.00NS1.85−3.645.49[EMPTY_CELL]
Gurrola-Díaz et al., 2010 [15]A19.24Healthy−4.12####10.73NR3.880.863.03NR−4.58−10.455.87[EMPTY_CELL]
Hansen et al., 2005, full [16] A71 or 48Healthy0.93−1.262.190.643−6.11−9.703.59<0.001−1.48−5.594.10[EMPTY_CELL]
Hansen et al., 2005, half [16]A36 or 24Healthy3.42−1.264.680.643−6.11−9.703.59<0.001−1.36−5.594.22[EMPTY_CELL]
Karlsen et al., 2007 [19]A300Healthy————−1.67−2.630.96NS−0.16−2.382.22[EMPTY_CELL]
Gurrola-Díaz et al., 2010 [15]A19.24MetS−1.812.17−3.98NS30.0623.476.590.0021.106.96−5.86[EMPTY_CELL]
Hassellund et al., 2013 [18]A640PrehypertensiveNDNDND0.341NDNDND0.043NDNDND[EMPTY_CELL]
Kianbakht et al., 2014 [20]A7.35Hyperlipidemic−32.04−9.12−22.920.00236.632.5234.11<0.001−28.29−2.76−25.53[EMPTY_CELL]
Naruszewicz et al., 2007 [14]A~64Post-MI−0.34−5.825.48NS2.841.751.09NS0.91−3.073.98[EMPTY_CELL]
Qin et al., 2009 [21]H320Dyslipidemic−12.12−0.76−11.37<0.00111.551.749.81<0.001−2.52−0.85−1.67[EMPTY_CELL]
Soltani et al., 2014 [22]H90Hyperlipidemic−8.612.71−11.320.004−0.35−1.891.540.631−15.211.51−16.71[EMPTY_CELL]
Zhu et al., 2013 [24]A320Hyperlipidemic−10.420.30−10.720.03012.30−0.8113.100.036−4.19−3.55−0.64[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Reference\", \"bbox\": [0, 17, 30, 25]}, {\"cell\": \"SIGN Quality\", \"bbox\": [60, 13, 84, 28]}, {\"cell\": \"Anthocyanin Dose (mg/Day)\", \"bbox\": [90, 9, 128, 32]}, {\"cell\": \"CVD-Related Disease Status\", \"bbox\": [139, 10, 179, 33]}, {\"cell\": \"LDL (mg/dL)\", \"bbox\": [242, 2, 280, 10]}, {\"cell\": \"HDL (mg/dL)\", \"bbox\": [407, 2, 447, 10]}, {\"cell\": \"Total Cholesterol (mg/dL)\", \"bbox\": [559, 2, 633, 10]}, {\"cell\": \"Percent Change in Intervention\", \"bbox\": [187, 13, 225, 36]}, {\"cell\": \"Percent Change in Control\", \"bbox\": [229, 13, 260, 36]}, {\"cell\": \"Percent Difference Compared with Control\", \"bbox\": [273, 9, 311, 39]}, {\"cell\": \"P\", \"bbox\": [325, 21, 331, 27]}, {\"cell\": \"Percent Change in Intervention\", \"bbox\": [345, 13, 382, 36]}, {\"cell\": \"Percent Change in Control\", \"bbox\": [398, 13, 429, 36]}, {\"cell\": \"Percent Difference Compared with Control\", \"bbox\": [444, 9, 482, 39]}, {\"cell\": \"P\", \"bbox\": [499, 21, 505, 27]}, {\"cell\": \"Percent Change in Intervention\", \"bbox\": [519, 13, 556, 36]}, {\"cell\": \"Percent Change in Control\", \"bbox\": [567, 13, 597, 36]}, {\"cell\": \"Percent Difference Compared with Control\", \"bbox\": [610, 9, 648, 39]}, {\"cell\": \"P\", \"bbox\": [662, 21, 668, 27]}, {\"cell\": \"Curtis et al., 2009 [26]\", \"bbox\": [0, 39, 34, 54]}, {\"cell\": \"H\", \"bbox\": [67, 42, 74, 51]}, {\"cell\": \"500\", \"bbox\": [104, 42, 115, 51]}, {\"cell\": \"Healthy\", \"bbox\": [147, 42, 171, 51]}, {\"cell\": \"0.00\", \"bbox\": [197, 42, 210, 51]}, {\"cell\": \"−5.71\", \"bbox\": [236, 42, 254, 51]}, {\"cell\": \"5.71\", \"bbox\": [285, 42, 298, 51]}, {\"cell\": \"NS\", \"bbox\": [322, 42, 333, 51]}, {\"cell\": \"0.00\", \"bbox\": [357, 42, 370, 51]}, {\"cell\": \"0.00\", \"bbox\": [407, 42, 420, 51]}, {\"cell\": \"0.00\", \"bbox\": [457, 42, 469, 51]}, {\"cell\": \"NS\", \"bbox\": [497, 42, 507, 51]}, {\"cell\": \"1.85\", \"bbox\": [531, 42, 544, 51]}, {\"cell\": \"−3.64\", \"bbox\": [573, 42, 591, 51]}, {\"cell\": \"5.49\", \"bbox\": [623, 42, 635, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [660, 42, 670, 51]}, {\"cell\": \"Gurrola-Díaz et al., 2010 [15]\", \"bbox\": [0, 54, 54, 69]}, {\"cell\": \"A\", \"bbox\": [67, 57, 74, 66]}, {\"cell\": \"19.24\", \"bbox\": [101, 57, 117, 66]}, {\"cell\": \"Healthy\", \"bbox\": [147, 57, 171, 66]}, {\"cell\": \"−4.12\", \"bbox\": [194, 57, 212, 66]}, {\"cell\": \"####\", \"bbox\": [238, 57, 252, 66]}, {\"cell\": \"10.73\", \"bbox\": [284, 57, 300, 66]}, {\"cell\": \"NR\", \"bbox\": [322, 57, 333, 66]}, {\"cell\": \"3.88\", \"bbox\": [357, 57, 370, 66]}, {\"cell\": \"0.86\", \"bbox\": [407, 57, 420, 66]}, {\"cell\": \"3.03\", \"bbox\": [457, 57, 469, 66]}, {\"cell\": \"NR\", \"bbox\": [496, 57, 507, 66]}, {\"cell\": \"−4.58\", \"bbox\": [529, 57, 547, 66]}, {\"cell\": \"−10.45\", \"bbox\": [571, 57, 592, 66]}, {\"cell\": \"5.87\", \"bbox\": [623, 57, 635, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [659, 57, 670, 66]}, {\"cell\": \"Hansen et al., 2005, full [16] \", \"bbox\": [0, 69, 39, 84]}, {\"cell\": \"A\", \"bbox\": [67, 72, 74, 80]}, {\"cell\": \"71 or 48\", \"bbox\": [98, 72, 121, 80]}, {\"cell\": \"Healthy\", \"bbox\": [147, 72, 171, 80]}, {\"cell\": \"0.93\", \"bbox\": [197, 72, 210, 80]}, {\"cell\": \"−1.26\", \"bbox\": [236, 72, 254, 80]}, {\"cell\": \"2.19\", \"bbox\": [285, 72, 298, 80]}, {\"cell\": \"0.643\", \"bbox\": [320, 72, 336, 80]}, {\"cell\": \"−6.11\", \"bbox\": [355, 72, 372, 80]}, {\"cell\": \"−9.70\", \"bbox\": [404, 72, 422, 80]}, {\"cell\": \"3.59\", \"bbox\": [457, 72, 469, 80]}, {\"cell\": \"<0.001\", \"bbox\": [492, 72, 512, 80]}, {\"cell\": \"−1.48\", \"bbox\": [529, 72, 547, 80]}, {\"cell\": \"−5.59\", \"bbox\": [573, 72, 591, 80]}, {\"cell\": \"4.10\", \"bbox\": [623, 72, 635, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [657, 72, 673, 80]}, {\"cell\": \"Hansen et al., 2005, half [16]\", \"bbox\": [0, 83, 40, 99]}, {\"cell\": \"A\", \"bbox\": [67, 87, 74, 95]}, {\"cell\": \"36 or 24\", \"bbox\": [98, 87, 121, 95]}, {\"cell\": \"Healthy\", \"bbox\": [147, 87, 171, 95]}, {\"cell\": \"3.42\", \"bbox\": [197, 87, 210, 95]}, {\"cell\": \"−1.26\", \"bbox\": [236, 87, 254, 95]}, {\"cell\": \"4.68\", \"bbox\": [285, 87, 298, 95]}, {\"cell\": \"0.643\", \"bbox\": [320, 87, 336, 95]}, {\"cell\": \"−6.11\", \"bbox\": [355, 87, 372, 95]}, {\"cell\": \"−9.70\", \"bbox\": [404, 87, 422, 95]}, {\"cell\": \"3.59\", \"bbox\": [457, 87, 469, 95]}, {\"cell\": \"<0.001\", \"bbox\": [492, 87, 512, 95]}, {\"cell\": \"−1.36\", \"bbox\": [529, 87, 547, 95]}, {\"cell\": \"−5.59\", \"bbox\": [573, 87, 591, 95]}, {\"cell\": \"4.22\", \"bbox\": [623, 87, 635, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [657, 87, 673, 95]}, {\"cell\": \"Karlsen et al., 2007 [19]\", \"bbox\": [0, 98, 38, 114]}, {\"cell\": \"A\", \"bbox\": [67, 102, 74, 110]}, {\"cell\": \"300\", \"bbox\": [104, 102, 115, 110]}, {\"cell\": \"Healthy\", \"bbox\": [147, 102, 171, 110]}, {\"cell\": \"—\", \"bbox\": [199, 102, 207, 110]}, {\"cell\": \"—\", \"bbox\": [241, 102, 249, 110]}, {\"cell\": \"—\", \"bbox\": [288, 102, 296, 110]}, {\"cell\": \"—\", \"bbox\": [324, 102, 332, 110]}, {\"cell\": \"−1.67\", \"bbox\": [355, 102, 372, 110]}, {\"cell\": \"−2.63\", \"bbox\": [404, 102, 422, 110]}, {\"cell\": \"0.96\", \"bbox\": [457, 102, 469, 110]}, {\"cell\": \"NS\", \"bbox\": [497, 102, 507, 110]}, {\"cell\": \"−0.16\", \"bbox\": [529, 102, 547, 110]}, {\"cell\": \"−2.38\", \"bbox\": [573, 102, 591, 110]}, {\"cell\": \"2.22\", \"bbox\": [623, 102, 635, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [660, 102, 670, 110]}, {\"cell\": \"Gurrola-Díaz et al., 2010 [15]\", \"bbox\": [0, 113, 54, 129]}, {\"cell\": \"A\", \"bbox\": [67, 117, 74, 125]}, {\"cell\": \"19.24\", \"bbox\": [101, 117, 117, 125]}, {\"cell\": \"MetS\", \"bbox\": [151, 117, 167, 125]}, {\"cell\": \"−1.81\", \"bbox\": [194, 117, 212, 125]}, {\"cell\": \"2.17\", \"bbox\": [238, 117, 251, 125]}, {\"cell\": \"−3.98\", \"bbox\": [283, 117, 301, 125]}, {\"cell\": \"NS\", \"bbox\": [322, 117, 333, 125]}, {\"cell\": \"30.06\", \"bbox\": [356, 117, 371, 125]}, {\"cell\": \"23.47\", \"bbox\": [405, 117, 421, 125]}, {\"cell\": \"6.59\", \"bbox\": [457, 117, 469, 125]}, {\"cell\": \"0.002\", \"bbox\": [494, 117, 510, 125]}, {\"cell\": \"1.10\", \"bbox\": [531, 117, 544, 125]}, {\"cell\": \"6.96\", \"bbox\": [576, 117, 588, 125]}, {\"cell\": \"−5.86\", \"bbox\": [620, 117, 638, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [657, 117, 673, 125]}, {\"cell\": \"Hassellund et al., 2013 [18]\", \"bbox\": [0, 128, 48, 144]}, {\"cell\": \"A\", \"bbox\": [67, 132, 74, 140]}, {\"cell\": \"640\", \"bbox\": [104, 132, 115, 140]}, {\"cell\": \"Prehypertensive\", \"bbox\": [138, 132, 183, 140]}, {\"cell\": \"ND\", \"bbox\": [197, 132, 209, 140]}, {\"cell\": \"ND\", \"bbox\": [239, 132, 251, 140]}, {\"cell\": \"ND\", \"bbox\": [286, 132, 298, 140]}, {\"cell\": \"0.341\", \"bbox\": [320, 132, 336, 140]}, {\"cell\": \"ND\", \"bbox\": [358, 132, 369, 140]}, {\"cell\": \"ND\", \"bbox\": [407, 132, 419, 140]}, {\"cell\": \"ND\", \"bbox\": [457, 132, 469, 140]}, {\"cell\": \"0.043\", \"bbox\": [494, 132, 510, 140]}, {\"cell\": \"ND\", \"bbox\": [532, 132, 544, 140]}, {\"cell\": \"ND\", \"bbox\": [576, 132, 588, 140]}, {\"cell\": \"ND\", \"bbox\": [623, 132, 635, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [657, 132, 673, 140]}, {\"cell\": \"Kianbakht et al., 2014 [20]\", \"bbox\": [0, 143, 46, 158]}, {\"cell\": \"A\", \"bbox\": [67, 147, 74, 155]}, {\"cell\": \"7.35\", \"bbox\": [103, 147, 116, 155]}, {\"cell\": \"Hyperlipidemic\", \"bbox\": [138, 147, 182, 155]}, {\"cell\": \"−32.04\", \"bbox\": [193, 147, 214, 155]}, {\"cell\": \"−9.12\", \"bbox\": [236, 147, 254, 155]}, {\"cell\": \"−22.92\", \"bbox\": [281, 147, 302, 155]}, {\"cell\": \"0.002\", \"bbox\": [320, 147, 336, 155]}, {\"cell\": \"36.63\", \"bbox\": [356, 147, 371, 155]}, {\"cell\": \"2.52\", \"bbox\": [407, 147, 420, 155]}, {\"cell\": \"34.11\", \"bbox\": [455, 147, 471, 155]}, {\"cell\": \"<0.001\", \"bbox\": [492, 147, 512, 155]}, {\"cell\": \"−28.29\", \"bbox\": [527, 147, 548, 155]}, {\"cell\": \"−2.76\", \"bbox\": [573, 147, 591, 155]}, {\"cell\": \"−25.53\", \"bbox\": [618, 147, 639, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [657, 147, 674, 155]}, {\"cell\": \"Naruszewicz et al., 2007 [14]\", \"bbox\": [0, 158, 53, 173]}, {\"cell\": \"A\", \"bbox\": [67, 162, 74, 170]}, {\"cell\": \"~64\", \"bbox\": [103, 162, 115, 170]}, {\"cell\": \"Post-MI\", \"bbox\": [147, 162, 171, 170]}, {\"cell\": \"−0.34\", \"bbox\": [194, 162, 212, 170]}, {\"cell\": \"−5.82\", \"bbox\": [236, 162, 254, 170]}, {\"cell\": \"5.48\", \"bbox\": [285, 162, 298, 170]}, {\"cell\": \"NS\", \"bbox\": [322, 162, 333, 170]}, {\"cell\": \"2.84\", \"bbox\": [357, 162, 370, 170]}, {\"cell\": \"1.75\", \"bbox\": [407, 162, 420, 170]}, {\"cell\": \"1.09\", \"bbox\": [457, 162, 469, 170]}, {\"cell\": \"NS\", \"bbox\": [497, 162, 507, 170]}, {\"cell\": \"0.91\", \"bbox\": [531, 162, 544, 170]}, {\"cell\": \"−3.07\", \"bbox\": [573, 162, 591, 170]}, {\"cell\": \"3.98\", \"bbox\": [623, 162, 635, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [660, 162, 670, 170]}, {\"cell\": \"Qin et al., 2009 [21]\", \"bbox\": [0, 173, 53, 181]}, {\"cell\": \"H\", \"bbox\": [67, 173, 74, 181]}, {\"cell\": \"320\", \"bbox\": [104, 173, 115, 181]}, {\"cell\": \"Dyslipidemic\", \"bbox\": [140, 173, 178, 181]}, {\"cell\": \"−12.12\", \"bbox\": [193, 173, 214, 181]}, {\"cell\": \"−0.76\", \"bbox\": [236, 173, 254, 181]}, {\"cell\": \"−11.37\", \"bbox\": [281, 173, 302, 181]}, {\"cell\": \"<0.001\", \"bbox\": [320, 173, 339, 181]}, {\"cell\": \"11.55\", \"bbox\": [356, 173, 371, 181]}, {\"cell\": \"1.74\", \"bbox\": [407, 173, 420, 181]}, {\"cell\": \"9.81\", \"bbox\": [457, 173, 469, 181]}, {\"cell\": \"<0.001\", \"bbox\": [492, 173, 512, 181]}, {\"cell\": \"−2.52\", \"bbox\": [529, 173, 547, 181]}, {\"cell\": \"−0.85\", \"bbox\": [573, 173, 591, 181]}, {\"cell\": \"−1.67\", \"bbox\": [620, 173, 638, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [657, 173, 673, 181]}, {\"cell\": \"Soltani et al., 2014 [22]\", \"bbox\": [0, 180, 36, 196]}, {\"cell\": \"H\", \"bbox\": [67, 184, 74, 192]}, {\"cell\": \"90\", \"bbox\": [105, 184, 113, 192]}, {\"cell\": \"Hyperlipidemic\", \"bbox\": [138, 184, 182, 192]}, {\"cell\": \"−8.61\", \"bbox\": [194, 184, 212, 192]}, {\"cell\": \"2.71\", \"bbox\": [238, 184, 251, 192]}, {\"cell\": \"−11.32\", \"bbox\": [281, 184, 302, 192]}, {\"cell\": \"0.004\", \"bbox\": [320, 184, 336, 192]}, {\"cell\": \"−0.35\", \"bbox\": [355, 184, 372, 192]}, {\"cell\": \"−1.89\", \"bbox\": [404, 184, 422, 192]}, {\"cell\": \"1.54\", \"bbox\": [457, 184, 469, 192]}, {\"cell\": \"0.631\", \"bbox\": [494, 184, 510, 192]}, {\"cell\": \"−15.21\", \"bbox\": [527, 184, 548, 192]}, {\"cell\": \"1.51\", \"bbox\": [576, 184, 588, 192]}, {\"cell\": \"−16.71\", \"bbox\": [618, 184, 639, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [657, 184, 674, 192]}, {\"cell\": \"Zhu et al., 2013 [24]\", \"bbox\": [0, 195, 29, 211]}, {\"cell\": \"A\", \"bbox\": [67, 199, 74, 207]}, {\"cell\": \"320\", \"bbox\": [104, 199, 115, 207]}, {\"cell\": \"Hyperlipidemic\", \"bbox\": [138, 199, 182, 207]}, {\"cell\": \"−10.42\", \"bbox\": [193, 199, 214, 207]}, {\"cell\": \"0.30\", \"bbox\": [238, 199, 251, 207]}, {\"cell\": \"−10.72\", \"bbox\": [281, 199, 302, 207]}, {\"cell\": \"0.030\", \"bbox\": [320, 199, 336, 207]}, {\"cell\": \"12.30\", \"bbox\": [356, 199, 371, 207]}, {\"cell\": \"−0.81\", \"bbox\": [404, 199, 422, 207]}, {\"cell\": \"13.10\", \"bbox\": [455, 199, 471, 207]}, {\"cell\": \"0.036\", \"bbox\": [494, 199, 510, 207]}, {\"cell\": \"−4.19\", \"bbox\": [529, 199, 547, 207]}, {\"cell\": \"−3.55\", \"bbox\": [573, 199, 591, 207]}, {\"cell\": \"−0.64\", \"bbox\": [620, 199, 638, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [657, 199, 673, 207]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4728646_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariablesLOX expression
CytoplasmicNuclear
Low (%)High (%)P-valueLow (%)High (%)P-value
NF-κB[EMPTY_CELL][EMPTY_CELL]0.388[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Low15 (17)74 (83)[EMPTY_CELL]84 (94)5 (6)[EMPTY_CELL]
High11 (23)37 (77)[EMPTY_CELL]34 (71)14 (29)[EMPTY_CELL]
Ki-67[EMPTY_CELL][EMPTY_CELL]0.258[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Low7 (13)45 (87)[EMPTY_CELL]49 (94)3 (6)[EMPTY_CELL]
High12 (22)43 (78)[EMPTY_CELL]45 (82)10 (18)[EMPTY_CELL]
Survivin[EMPTY_CELL][EMPTY_CELL]0.029[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Low14 (22)50 (78)[EMPTY_CELL]57 (89)7 (11)[EMPTY_CELL]
High0 (0)18 (100)[EMPTY_CELL]14 (78)4 (22)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Variables\", \"bbox\": [27, 20, 69, 30]}, {\"cell\": \"LOX expression\", \"bbox\": [261, 5, 332, 16]}, {\"cell\": \"Cytoplasmic\", \"bbox\": [134, 20, 189, 30]}, {\"cell\": \"Nuclear\", \"bbox\": [353, 20, 389, 30]}, {\"cell\": \"Low (%)\", \"bbox\": [106, 37, 146, 48]}, {\"cell\": \"High (%)\", \"bbox\": [172, 37, 215, 48]}, {\"cell\": \"P-value\", \"bbox\": [239, 37, 273, 48]}, {\"cell\": \"Low (%)\", \"bbox\": [319, 37, 359, 48]}, {\"cell\": \"High (%)\", \"bbox\": [382, 37, 424, 48]}, {\"cell\": \"P-value\", \"bbox\": [449, 37, 484, 48]}, {\"cell\": \"NF-κB\", \"bbox\": [4, 52, 34, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.388\", \"bbox\": [244, 55, 268, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 56, 483, 66]}, {\"cell\": \" Low\", \"bbox\": [14, 70, 35, 81]}, {\"cell\": \"15 (17)\", \"bbox\": [111, 70, 142, 81]}, {\"cell\": \"74 (83)\", \"bbox\": [178, 70, 209, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"84 (94)\", \"bbox\": [323, 70, 355, 81]}, {\"cell\": \"5 (6)\", \"bbox\": [393, 70, 415, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" High\", \"bbox\": [14, 85, 36, 96]}, {\"cell\": \"11 (23)\", \"bbox\": [111, 85, 142, 96]}, {\"cell\": \"37 (77)\", \"bbox\": [178, 85, 209, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"34 (71)\", \"bbox\": [323, 85, 355, 96]}, {\"cell\": \"14 (29)\", \"bbox\": [387, 85, 418, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ki-67\", \"bbox\": [4, 100, 30, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.258\", \"bbox\": [244, 100, 268, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [454, 100, 479, 111]}, {\"cell\": \" Low\", \"bbox\": [14, 115, 35, 126]}, {\"cell\": \"7 (13)\", \"bbox\": [114, 115, 141, 126]}, {\"cell\": \"45 (87)\", \"bbox\": [178, 115, 209, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"49 (94)\", \"bbox\": [323, 115, 355, 126]}, {\"cell\": \"3 (6)\", \"bbox\": [393, 115, 415, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" High\", \"bbox\": [14, 130, 36, 141]}, {\"cell\": \"12 (22)\", \"bbox\": [111, 130, 142, 141]}, {\"cell\": \"43 (78)\", \"bbox\": [178, 130, 209, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"45 (82)\", \"bbox\": [323, 130, 355, 141]}, {\"cell\": \"10 (18)\", \"bbox\": [387, 130, 418, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Survivin\", \"bbox\": [4, 145, 41, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.029\", \"bbox\": [244, 145, 268, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [454, 145, 479, 156]}, {\"cell\": \" Low\", \"bbox\": [14, 160, 35, 171]}, {\"cell\": \"14 (22)\", \"bbox\": [111, 160, 142, 171]}, {\"cell\": \"50 (78)\", \"bbox\": [178, 160, 209, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"57 (89)\", \"bbox\": [323, 160, 355, 171]}, {\"cell\": \"7 (11)\", \"bbox\": [391, 160, 417, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" High\", \"bbox\": [14, 175, 36, 186]}, {\"cell\": \"0 (0)\", \"bbox\": [117, 175, 138, 186]}, {\"cell\": \"18 (100)\", \"bbox\": [176, 175, 212, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"14 (78)\", \"bbox\": [323, 175, 355, 186]}, {\"cell\": \"4 (22)\", \"bbox\": [391, 175, 417, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5601118_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
OARsRA-FFF(Gy)RA(Gy)IMRT(Gy)p valuep1p2p3
Spinal cord D1%41.22 ± 2.5139.58 ± 2.2140.00 ± 1.46[EMPTY_CELL]———
Brain stem D1%55.58 ± 3.2553.22 ± 3.3552.82 ± 2.52[EMPTY_CELL]0.0130.0170.359
Optic nerve (right) D1%16.91 ± 22.1417.93 ± 21.5216.45 ± 19.50[EMPTY_CELL]0.0590.9590.059
Optic nerve (left) D1%15.26 ± 18.3216.55 ± 17.2814.15 ± 15.75[EMPTY_CELL]———
Len (right) D1%5.36 ± 2.655.74 ± 2.365.35 ± 2.54[EMPTY_CELL]———
Len (left) D1%5.11 ± 2.085.32 ± 1.834.90 ± 1.95[EMPTY_CELL]———
Larynx Dmean32.55 ± 2.9731.83 ± 2.6935.40 ± 1.90[EMPTY_CELL]0.0250.0070.005
Oral cavity Dmean34.12 ± 2.2333.31 ± 1.9033.52 ± 1.38[EMPTY_CELL]0.0170.1690.646
Parotid (right) Dmean35.95 ± 4.3234.00 ± 3.8736.57 ± 4.15[EMPTY_CELL]0.0050.4450.005
Parotid (left) Dmean34.67 ± 3.6233.47 ± 3.1635.36 ± 2.97[EMPTY_CELL]0.0050.0590.005
Normal tissue Dmean16.24 ± 2.1016.41 ±2.0916.20 ± 2.04[EMPTY_CELL]———
Skin Dmean17.24 ± 2.3116.82 ± 2.2716.75 ± 2.32[EMPTY_CELL]0.0170.0070.646
\", \"cells\": [{\"cell\": \"OARs\", \"bbox\": [1, 5, 21, 14]}, {\"cell\": \"RA-FFF(Gy)\", \"bbox\": [105, 5, 145, 14]}, {\"cell\": \"RA(Gy)\", \"bbox\": [184, 5, 210, 14]}, {\"cell\": \"IMRT(Gy)\", \"bbox\": [252, 5, 286, 14]}, {\"cell\": \"p value\", \"bbox\": [319, 5, 346, 14]}, {\"cell\": \"p1\", \"bbox\": [378, 3, 387, 14]}, {\"cell\": \"p2\", \"bbox\": [424, 3, 433, 14]}, {\"cell\": \"p3\", \"bbox\": [470, 3, 479, 14]}, {\"cell\": \"Spinal cord D1%\", \"bbox\": [1, 19, 52, 29]}, {\"cell\": \"41.22 ± 2.51\", \"bbox\": [105, 19, 146, 29]}, {\"cell\": \"39.58 ± 2.21\", \"bbox\": [177, 19, 218, 29]}, {\"cell\": \"40.00 ± 1.46\", \"bbox\": [249, 19, 290, 29]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [323, 19, 342, 29]}, {\"cell\": \"—\", \"bbox\": [378, 19, 388, 29]}, {\"cell\": \"—\", \"bbox\": [424, 19, 434, 29]}, {\"cell\": \"—\", \"bbox\": [470, 19, 480, 29]}, {\"cell\": \"Brain stem D1%\", \"bbox\": [1, 33, 50, 43]}, {\"cell\": \"55.58 ± 3.25\", \"bbox\": [105, 33, 146, 43]}, {\"cell\": \"53.22 ± 3.35\", \"bbox\": [177, 33, 218, 43]}, {\"cell\": \"52.82 ± 2.52\", \"bbox\": [249, 33, 290, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [323, 33, 342, 43]}, {\"cell\": \"0.013\", \"bbox\": [373, 33, 392, 43]}, {\"cell\": \"0.017\", \"bbox\": [419, 33, 438, 43]}, {\"cell\": \"0.359\", \"bbox\": [465, 33, 484, 43]}, {\"cell\": \"Optic nerve (right) D1%\", \"bbox\": [1, 47, 75, 57]}, {\"cell\": \"16.91 ± 22.14\", \"bbox\": [103, 47, 148, 57]}, {\"cell\": \"17.93 ± 21.52\", \"bbox\": [175, 47, 220, 57]}, {\"cell\": \"16.45 ± 19.50\", \"bbox\": [247, 47, 292, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [323, 47, 342, 57]}, {\"cell\": \"0.059\", \"bbox\": [373, 47, 392, 57]}, {\"cell\": \"0.959\", \"bbox\": [419, 47, 438, 57]}, {\"cell\": \"0.059\", \"bbox\": [465, 47, 484, 57]}, {\"cell\": \"Optic nerve (left) D1%\", \"bbox\": [1, 61, 70, 71]}, {\"cell\": \"15.26 ± 18.32\", \"bbox\": [103, 61, 148, 71]}, {\"cell\": \"16.55 ± 17.28\", \"bbox\": [175, 61, 220, 71]}, {\"cell\": \"14.15 ± 15.75\", \"bbox\": [247, 61, 292, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [323, 61, 342, 71]}, {\"cell\": \"—\", \"bbox\": [378, 61, 388, 71]}, {\"cell\": \"—\", \"bbox\": [424, 61, 434, 71]}, {\"cell\": \"—\", \"bbox\": [470, 61, 480, 71]}, {\"cell\": \"Len (right) D1%\", \"bbox\": [1, 75, 50, 85]}, {\"cell\": \"5.36 ± 2.65\", \"bbox\": [107, 75, 144, 85]}, {\"cell\": \"5.74 ± 2.36\", \"bbox\": [179, 75, 216, 85]}, {\"cell\": \"5.35 ± 2.54\", \"bbox\": [251, 75, 288, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [323, 75, 342, 85]}, {\"cell\": \"—\", \"bbox\": [378, 75, 388, 85]}, {\"cell\": \"—\", \"bbox\": [424, 75, 434, 85]}, {\"cell\": \"—\", \"bbox\": [470, 75, 480, 85]}, {\"cell\": \"Len (left) D1%\", \"bbox\": [1, 89, 45, 99]}, {\"cell\": \"5.11 ± 2.08\", \"bbox\": [107, 89, 144, 98]}, {\"cell\": \"5.32 ± 1.83\", \"bbox\": [179, 89, 216, 98]}, {\"cell\": \"4.90 ± 1.95\", \"bbox\": [251, 89, 288, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [323, 89, 342, 98]}, {\"cell\": \"—\", \"bbox\": [378, 89, 388, 98]}, {\"cell\": \"—\", \"bbox\": [424, 89, 434, 98]}, {\"cell\": \"—\", \"bbox\": [470, 89, 480, 98]}, {\"cell\": \"Larynx Dmean\", \"bbox\": [1, 103, 49, 112]}, {\"cell\": \"32.55 ± 2.97\", \"bbox\": [105, 103, 146, 112]}, {\"cell\": \"31.83 ± 2.69\", \"bbox\": [177, 103, 218, 112]}, {\"cell\": \"35.40 ± 1.90\", \"bbox\": [249, 103, 290, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [323, 103, 342, 112]}, {\"cell\": \"0.025\", \"bbox\": [373, 103, 392, 112]}, {\"cell\": \"0.007\", \"bbox\": [419, 103, 438, 112]}, {\"cell\": \"0.005\", \"bbox\": [465, 103, 484, 112]}, {\"cell\": \"Oral cavity Dmean\", \"bbox\": [1, 117, 61, 126]}, {\"cell\": \"34.12 ± 2.23\", \"bbox\": [105, 117, 146, 126]}, {\"cell\": \"33.31 ± 1.90\", \"bbox\": [177, 117, 218, 126]}, {\"cell\": \"33.52 ± 1.38\", \"bbox\": [249, 117, 290, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [323, 117, 342, 126]}, {\"cell\": \"0.017\", \"bbox\": [373, 117, 392, 126]}, {\"cell\": \"0.169\", \"bbox\": [419, 117, 438, 126]}, {\"cell\": \"0.646\", \"bbox\": [465, 117, 484, 126]}, {\"cell\": \"Parotid (right) Dmean\", \"bbox\": [1, 131, 72, 140]}, {\"cell\": \"35.95 ± 4.32\", \"bbox\": [105, 131, 146, 140]}, {\"cell\": \"34.00 ± 3.87\", \"bbox\": [177, 131, 218, 140]}, {\"cell\": \"36.57 ± 4.15\", \"bbox\": [249, 131, 290, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [323, 131, 342, 140]}, {\"cell\": \"0.005\", \"bbox\": [373, 131, 392, 140]}, {\"cell\": \"0.445\", \"bbox\": [419, 131, 438, 140]}, {\"cell\": \"0.005\", \"bbox\": [465, 131, 484, 140]}, {\"cell\": \"Parotid (left) Dmean\", \"bbox\": [1, 145, 67, 154]}, {\"cell\": \"34.67 ± 3.62\", \"bbox\": [105, 145, 146, 154]}, {\"cell\": \"33.47 ± 3.16\", \"bbox\": [177, 145, 218, 154]}, {\"cell\": \"35.36 ± 2.97\", \"bbox\": [249, 145, 290, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [319, 145, 346, 154]}, {\"cell\": \"0.005\", \"bbox\": [373, 145, 392, 154]}, {\"cell\": \"0.059\", \"bbox\": [419, 145, 438, 154]}, {\"cell\": \"0.005\", \"bbox\": [465, 145, 484, 154]}, {\"cell\": \"Normal tissue Dmean\", \"bbox\": [1, 159, 71, 168]}, {\"cell\": \"16.24 ± 2.10\", \"bbox\": [105, 159, 146, 168]}, {\"cell\": \"16.41 ±2.09\", \"bbox\": [178, 159, 216, 168]}, {\"cell\": \"16.20 ± 2.04\", \"bbox\": [249, 159, 290, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [323, 159, 342, 168]}, {\"cell\": \"—\", \"bbox\": [378, 159, 388, 168]}, {\"cell\": \"—\", \"bbox\": [424, 159, 434, 168]}, {\"cell\": \"—\", \"bbox\": [470, 159, 480, 168]}, {\"cell\": \"Skin Dmean\", \"bbox\": [1, 173, 41, 182]}, {\"cell\": \"17.24 ± 2.31\", \"bbox\": [105, 173, 146, 182]}, {\"cell\": \"16.82 ± 2.27\", \"bbox\": [177, 173, 218, 182]}, {\"cell\": \"16.75 ± 2.32\", \"bbox\": [249, 173, 290, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [323, 173, 342, 182]}, {\"cell\": \"0.017\", \"bbox\": [373, 173, 392, 182]}, {\"cell\": \"0.007\", \"bbox\": [419, 173, 438, 182]}, {\"cell\": \"0.646\", \"bbox\": [465, 173, 484, 182]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3720531_005_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Univariate Analysis
VariableβP95% CI
Sex3.240.01[EMPTY_CELL]
Body mass index (kg/m2)-0.300.009[EMPTY_CELL]
Abnormal glucose tolerance-3.670.008[EMPTY_CELL]
Metabolic syndrome-2.470.047[EMPTY_CELL]
Combined cardiovascular events-2.030.16[EMPTY_CELL]
Waist hip ratio (cm)-21.480.001[EMPTY_CELL]
Log fasting glucose (mmol/L)-4.550.04[EMPTY_CELL]
Log triglyceride (mmol/L)-6.10<0.001[EMPTY_CELL]
Log HDL (mmol/L)11.05<0.001[EMPTY_CELL]
VLDL (mmol/L)-5.990.001[EMPTY_CELL]
Apolipoprotein a (g/L)10.93<0.001[EMPTY_CELL]
C-reactive protein (mg/L)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
0.9-2refref[EMPTY_CELL]
2.1-4.7-1.150.44[EMPTY_CELL]
4.8-84-4.030.007[EMPTY_CELL]
Urinary PCR (mg/L)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
5-14refref[EMPTY_CELL]
15-350.180.91[EMPTY_CELL]
36-1000-2.270.15[EMPTY_CELL]
GFR (mls/min/1.73 m2)-0.450.18[EMPTY_CELL]
ACE inhibitor (mg/day)-2.120.1[EMPTY_CELL]
ARB (mg/day)2.700.1[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Univariate Analysis\", \"bbox\": [144, 5, 220, 14]}, {\"cell\": \"Variable\", \"bbox\": [4, 15, 39, 24]}, {\"cell\": \"β\", \"bbox\": [132, 4, 145, 26]}, {\"cell\": \"P\", \"bbox\": [163, 15, 171, 24]}, {\"cell\": \"95% CI\", \"bbox\": [199, 15, 227, 24]}, {\"cell\": \"Sex\", \"bbox\": [4, 37, 18, 47]}, {\"cell\": \"3.24\", \"bbox\": [128, 37, 144, 47]}, {\"cell\": \"0.01\", \"bbox\": [159, 37, 175, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 37, 229, 47]}, {\"cell\": \"Body mass index (kg/m2)\", \"bbox\": [4, 47, 90, 57]}, {\"cell\": \"-0.30\", \"bbox\": [127, 47, 146, 57]}, {\"cell\": \"0.009\", \"bbox\": [157, 47, 177, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [189, 47, 237, 57]}, {\"cell\": \"Abnormal glucose tolerance\", \"bbox\": [4, 57, 100, 67]}, {\"cell\": \"-3.67\", \"bbox\": [127, 57, 146, 67]}, {\"cell\": \"0.008\", \"bbox\": [157, 57, 177, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 57, 229, 67]}, {\"cell\": \"Metabolic syndrome\", \"bbox\": [4, 68, 74, 77]}, {\"cell\": \"-2.47\", \"bbox\": [127, 68, 146, 77]}, {\"cell\": \"0.047\", \"bbox\": [157, 68, 177, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [189, 68, 236, 77]}, {\"cell\": \"Combined cardiovascular events\", \"bbox\": [4, 78, 115, 88]}, {\"cell\": \"-2.03\", \"bbox\": [127, 78, 146, 88]}, {\"cell\": \"0.16\", \"bbox\": [159, 78, 175, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 78, 235, 88]}, {\"cell\": \"Waist hip ratio (cm)\", \"bbox\": [4, 88, 74, 98]}, {\"cell\": \"-21.48\", \"bbox\": [125, 88, 148, 98]}, {\"cell\": \"0.001\", \"bbox\": [157, 88, 177, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [187, 88, 239, 98]}, {\"cell\": \"Log fasting glucose (mmol/L)\", \"bbox\": [4, 98, 102, 108]}, {\"cell\": \"-4.55\", \"bbox\": [127, 98, 146, 108]}, {\"cell\": \"0.04\", \"bbox\": [159, 98, 175, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [189, 98, 237, 108]}, {\"cell\": \"Log triglyceride (mmol/L)\", \"bbox\": [4, 109, 91, 118]}, {\"cell\": \"-6.10\", \"bbox\": [127, 109, 146, 118]}, {\"cell\": \"<0.001\", \"bbox\": [155, 109, 180, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [189, 109, 237, 118]}, {\"cell\": \"Log HDL (mmol/L)\", \"bbox\": [4, 119, 70, 129]}, {\"cell\": \"11.05\", \"bbox\": [126, 119, 146, 129]}, {\"cell\": \"<0.001\", \"bbox\": [155, 119, 180, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 119, 236, 129]}, {\"cell\": \"VLDL (mmol/L)\", \"bbox\": [4, 129, 59, 139]}, {\"cell\": \"-5.99\", \"bbox\": [127, 129, 146, 139]}, {\"cell\": \"0.001\", \"bbox\": [157, 129, 177, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [189, 129, 237, 139]}, {\"cell\": \"Apolipoprotein a (g/L)\", \"bbox\": [4, 139, 81, 149]}, {\"cell\": \"10.93\", \"bbox\": [126, 139, 146, 149]}, {\"cell\": \"<0.001\", \"bbox\": [155, 139, 180, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 139, 236, 149]}, {\"cell\": \"C-reactive protein (mg/L)\", \"bbox\": [4, 150, 92, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.9-2\", \"bbox\": [4, 160, 23, 170]}, {\"cell\": \"ref\", \"bbox\": [131, 160, 141, 169]}, {\"cell\": \"ref\", \"bbox\": [162, 160, 172, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 160, 218, 169]}, {\"cell\": \"2.1-4.7\", \"bbox\": [4, 170, 29, 180]}, {\"cell\": \"-1.15\", \"bbox\": [127, 170, 146, 180]}, {\"cell\": \"0.44\", \"bbox\": [159, 170, 175, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 170, 235, 180]}, {\"cell\": \"4.8-84\", \"bbox\": [4, 180, 27, 190]}, {\"cell\": \"-4.03\", \"bbox\": [127, 180, 146, 190]}, {\"cell\": \"0.007\", \"bbox\": [157, 180, 177, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [189, 180, 237, 190]}, {\"cell\": \"Urinary PCR (mg/L)\", \"bbox\": [4, 191, 73, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"5-14\", \"bbox\": [4, 201, 21, 211]}, {\"cell\": \"ref\", \"bbox\": [131, 201, 141, 210]}, {\"cell\": \"ref\", \"bbox\": [162, 201, 172, 210]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 201, 218, 210]}, {\"cell\": \"15-35\", \"bbox\": [4, 211, 26, 221]}, {\"cell\": \"0.18\", \"bbox\": [128, 211, 144, 221]}, {\"cell\": \"0.91\", \"bbox\": [159, 211, 175, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 211, 235, 221]}, {\"cell\": \"36-1000\", \"bbox\": [4, 221, 34, 231]}, {\"cell\": \"-2.27\", \"bbox\": [127, 221, 146, 231]}, {\"cell\": \"0.15\", \"bbox\": [159, 221, 175, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 221, 235, 231]}, {\"cell\": \"GFR (mls/min/1.73 m2)\", \"bbox\": [4, 232, 84, 241]}, {\"cell\": \"-0.45\", \"bbox\": [127, 232, 146, 241]}, {\"cell\": \"0.18\", \"bbox\": [159, 232, 175, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 232, 235, 241]}, {\"cell\": \"ACE inhibitor (mg/day)\", \"bbox\": [4, 242, 84, 252]}, {\"cell\": \"-2.12\", \"bbox\": [127, 242, 146, 252]}, {\"cell\": \"0.1\", \"bbox\": [161, 242, 173, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 242, 235, 252]}, {\"cell\": \"ARB (mg/day)\", \"bbox\": [4, 252, 53, 262]}, {\"cell\": \"2.70\", \"bbox\": [128, 252, 144, 262]}, {\"cell\": \"0.1\", \"bbox\": [161, 252, 173, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 252, 235, 262]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2766377_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
BarrierClinical practice n (%)Policy formulation n (%)Solving enhances use of CEA in clinical practice n (%)Solving enhances use of CEA in policy formulation n (%)
Lack of IT infrastructure e.g. hardware and software72** (76.6)65(69.9)75 (80.7)[EMPTY_CELL]
N.SN.S
Lack of experts in the field of cost effectiveness analysis81 (87.1)76 (81.7)89 (95.7)[EMPTY_CELL]
N.SN.S
Lack of or limited local data85 (91.4)82 (88.2)88 (94.6)[EMPTY_CELL]
N.SN.S
Limited CEA training in schools89 (95.7)86 (92.5)89 (95.7)[EMPTY_CELL]
N.SN.S
Fairness and ethical concerns47 (50.5)49 (54.1)N/A[EMPTY_CELL]
N.SN/A
Lack of training grants incorporating CEA61 (65.6)63 (67.7)73 (78.5)[EMPTY_CELL]
N.SN.S
\", \"cells\": [{\"cell\": \"Barrier\", \"bbox\": [1, 4, 26, 13]}, {\"cell\": \"Clinical practice n (%)\", \"bbox\": [141, 4, 197, 22]}, {\"cell\": \"Policy formulation n (%)\", \"bbox\": [203, 4, 268, 22]}, {\"cell\": \"Solving enhances use of CEA in clinical practice n (%)\", \"bbox\": [274, 4, 376, 22]}, {\"cell\": \"Solving enhances use of CEA in policy formulation n (%)\", \"bbox\": [382, 4, 484, 22]}, {\"cell\": \"Lack of IT infrastructure e.g. hardware and software\", \"bbox\": [1, 26, 123, 45]}, {\"cell\": \"72** (76.6)\", \"bbox\": [141, 26, 176, 36]}, {\"cell\": \"65(69.9)\", \"bbox\": [203, 26, 229, 36]}, {\"cell\": \"75 (80.7)\", \"bbox\": [274, 26, 303, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 26, 406, 36]}, {\"cell\": \"N.S\", \"bbox\": [141, 40, 153, 50]}, {\"cell\": \"N.S\", \"bbox\": [274, 40, 286, 50]}, {\"cell\": \"Lack of experts in the field of cost effectiveness analysis\", \"bbox\": [1, 54, 112, 73]}, {\"cell\": \"81 (87.1)\", \"bbox\": [141, 54, 170, 64]}, {\"cell\": \"76 (81.7)\", \"bbox\": [203, 54, 232, 64]}, {\"cell\": \"89 (95.7)\", \"bbox\": [274, 54, 303, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 54, 411, 64]}, {\"cell\": \"N.S\", \"bbox\": [141, 68, 153, 78]}, {\"cell\": \"N.S\", \"bbox\": [274, 68, 286, 78]}, {\"cell\": \"Lack of or limited local data\", \"bbox\": [1, 82, 92, 92]}, {\"cell\": \"85 (91.4)\", \"bbox\": [141, 82, 170, 92]}, {\"cell\": \"82 (88.2)\", \"bbox\": [203, 82, 232, 92]}, {\"cell\": \"88 (94.6)\", \"bbox\": [274, 82, 303, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 82, 411, 92]}, {\"cell\": \"N.S\", \"bbox\": [141, 96, 153, 106]}, {\"cell\": \"N.S\", \"bbox\": [274, 96, 286, 106]}, {\"cell\": \"Limited CEA training in schools\", \"bbox\": [1, 110, 103, 120]}, {\"cell\": \"89 (95.7)\", \"bbox\": [141, 110, 170, 120]}, {\"cell\": \"86 (92.5)\", \"bbox\": [203, 110, 232, 120]}, {\"cell\": \"89 (95.7)\", \"bbox\": [274, 110, 303, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 110, 411, 120]}, {\"cell\": \"N.S\", \"bbox\": [141, 124, 153, 134]}, {\"cell\": \"N.S\", \"bbox\": [274, 124, 286, 134]}, {\"cell\": \"Fairness and ethical concerns\", \"bbox\": [1, 138, 97, 148]}, {\"cell\": \"47 (50.5)\", \"bbox\": [141, 138, 170, 148]}, {\"cell\": \"49 (54.1)\", \"bbox\": [203, 138, 232, 148]}, {\"cell\": \"N/A\", \"bbox\": [274, 138, 289, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 138, 397, 148]}, {\"cell\": \"N.S\", \"bbox\": [141, 152, 153, 162]}, {\"cell\": \"N/A\", \"bbox\": [274, 152, 289, 162]}, {\"cell\": \"Lack of training grants incorporating CEA\", \"bbox\": [1, 166, 135, 176]}, {\"cell\": \"61 (65.6)\", \"bbox\": [141, 166, 170, 176]}, {\"cell\": \"63 (67.7)\", \"bbox\": [203, 166, 232, 176]}, {\"cell\": \"73 (78.5)\", \"bbox\": [274, 166, 303, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 166, 411, 176]}, {\"cell\": \"N.S\", \"bbox\": [141, 180, 153, 190]}, {\"cell\": \"N.S\", \"bbox\": [274, 180, 286, 190]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4232642_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariableIntervention group(n = 197)Historical control group(n = 405)χ2 (Z)P value
Male gender149 (75.6)[EMPTY_CELL]0.010.91
Age (yrs)63.42 ± 11.87[EMPTY_CELL]−0.490.63
Hypertension109 (55.3)[EMPTY_CELL]0.330.57
Diabetes37 (18.8)[EMPTY_CELL]2.770.10
Hyperlipidemia58 (29.4)[EMPTY_CELL]5.880.02
Previous coronary disease14 (7.1)[EMPTY_CELL]0.660.42
Previous stroke 20 (10.2)[EMPTY_CELL]0.010.93
Current smoker106 (53.8)[EMPTY_CELL]4.960.03
Family history of coronary disease 16 (8.1)[EMPTY_CELL]10.130.00
Clinical pattern[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
STEMI176 (89.3)[EMPTY_CELL]0.610.44
NSTEMI21 (10.7)[EMPTY_CELL]
Cardiac function (Killips classification)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Level I 99 (64.7)[EMPTY_CELL]−0.960.34
Level II 31 (20.3)[EMPTY_CELL]
Level III 10 (6.5)[EMPTY_CELL]
Level IV 13 (8.5)[EMPTY_CELL]
Intravenous thrombolysis8 (4.1)[EMPTY_CELL]1.640.20
Emergency PCI189 (95.9)[EMPTY_CELL]
Vascular lesions[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Single64 (34.0)[EMPTY_CELL]−0.370.72
Two branch56 (29.8)[EMPTY_CELL]
Three branch65 (34.6)[EMPTY_CELL]
Stenosis < 50%3 (1.6)[EMPTY_CELL]
Stent implantation1.19 ± 0.63[EMPTY_CELL]−0.110.92
\", \"cells\": [{\"cell\": \"Variable\", \"bbox\": [2, 8, 34, 19]}, {\"cell\": \"Intervention group(n = 197)\", \"bbox\": [177, 3, 248, 24]}, {\"cell\": \"Historical control group(n = 405)\", \"bbox\": [285, 3, 374, 24]}, {\"cell\": \"χ2 (Z)\", \"bbox\": [411, 7, 435, 19]}, {\"cell\": \"P value\", \"bbox\": [470, 8, 499, 19]}, {\"cell\": \"Male gender\", \"bbox\": [2, 26, 49, 37]}, {\"cell\": \"149 (75.6)\", \"bbox\": [193, 26, 232, 37]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [310, 26, 349, 37]}, {\"cell\": \"0.01\", \"bbox\": [414, 26, 431, 37]}, {\"cell\": \"0.91\", \"bbox\": [476, 26, 493, 37]}, {\"cell\": \"Age (yrs)\", \"bbox\": [2, 38, 37, 49]}, {\"cell\": \"63.42 ± 11.87\", \"bbox\": [187, 39, 238, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [304, 39, 355, 49]}, {\"cell\": \"−0.49\", \"bbox\": [411, 38, 435, 49]}, {\"cell\": \"0.63\", \"bbox\": [476, 38, 493, 49]}, {\"cell\": \"Hypertension\", \"bbox\": [2, 51, 54, 61]}, {\"cell\": \"109 (55.3)\", \"bbox\": [193, 51, 232, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [310, 51, 349, 61]}, {\"cell\": \"0.33\", \"bbox\": [414, 51, 431, 61]}, {\"cell\": \"0.57\", \"bbox\": [476, 51, 493, 61]}, {\"cell\": \"Diabetes\", \"bbox\": [2, 63, 35, 73]}, {\"cell\": \"37 (18.8)\", \"bbox\": [195, 63, 229, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 63, 347, 74]}, {\"cell\": \"2.77\", \"bbox\": [414, 63, 431, 73]}, {\"cell\": \"0.10\", \"bbox\": [476, 63, 493, 73]}, {\"cell\": \"Hyperlipidemia\", \"bbox\": [2, 75, 61, 86]}, {\"cell\": \"58 (29.4)\", \"bbox\": [195, 75, 229, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 75, 347, 86]}, {\"cell\": \"5.88\", \"bbox\": [414, 75, 431, 86]}, {\"cell\": \"0.02\", \"bbox\": [476, 75, 493, 86]}, {\"cell\": \"Previous coronary disease\", \"bbox\": [2, 87, 97, 98]}, {\"cell\": \"14 (7.1)\", \"bbox\": [197, 88, 227, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 88, 345, 98]}, {\"cell\": \"0.66\", \"bbox\": [414, 87, 431, 98]}, {\"cell\": \"0.42\", \"bbox\": [476, 87, 493, 98]}, {\"cell\": \"Previous stroke \", \"bbox\": [2, 100, 60, 110]}, {\"cell\": \"20 (10.2)\", \"bbox\": [195, 100, 229, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 100, 345, 110]}, {\"cell\": \"0.01\", \"bbox\": [414, 100, 431, 110]}, {\"cell\": \"0.93\", \"bbox\": [476, 100, 493, 110]}, {\"cell\": \"Current smoker\", \"bbox\": [2, 112, 62, 122]}, {\"cell\": \"106 (53.8)\", \"bbox\": [193, 112, 232, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [310, 112, 349, 123]}, {\"cell\": \"4.96\", \"bbox\": [414, 112, 431, 122]}, {\"cell\": \"0.03\", \"bbox\": [476, 112, 493, 122]}, {\"cell\": \"Family history of coronary disease \", \"bbox\": [2, 124, 127, 135]}, {\"cell\": \"16 (8.1)\", \"bbox\": [197, 124, 227, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 124, 347, 135]}, {\"cell\": \"10.13\", \"bbox\": [412, 124, 434, 135]}, {\"cell\": \"0.00\", \"bbox\": [476, 124, 493, 135]}, {\"cell\": \"Clinical pattern\", \"bbox\": [2, 137, 60, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" STEMI\", \"bbox\": [12, 150, 40, 160]}, {\"cell\": \"176 (89.3)\", \"bbox\": [193, 150, 232, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [310, 150, 349, 161]}, {\"cell\": \"0.61\", \"bbox\": [414, 155, 431, 166]}, {\"cell\": \"0.44\", \"bbox\": [476, 155, 493, 166]}, {\"cell\": \" NSTEMI\", \"bbox\": [12, 162, 47, 173]}, {\"cell\": \"21 (10.7)\", \"bbox\": [195, 162, 229, 173]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 162, 347, 173]}, {\"cell\": \"Cardiac function (Killips classification)\", \"bbox\": [2, 175, 145, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Level I \", \"bbox\": [12, 188, 38, 198]}, {\"cell\": \"99 (64.7)\", \"bbox\": [195, 188, 229, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [310, 188, 349, 199]}, {\"cell\": \"−0.96\", \"bbox\": [411, 205, 435, 216]}, {\"cell\": \"0.34\", \"bbox\": [476, 205, 493, 216]}, {\"cell\": \" Level II \", \"bbox\": [12, 200, 41, 211]}, {\"cell\": \"31 (20.3)\", \"bbox\": [195, 200, 229, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 200, 347, 211]}, {\"cell\": \" Level III \", \"bbox\": [12, 212, 44, 223]}, {\"cell\": \"10 (6.5)\", \"bbox\": [197, 213, 227, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 213, 345, 223]}, {\"cell\": \" Level IV \", \"bbox\": [12, 225, 44, 235]}, {\"cell\": \"13 (8.5)\", \"bbox\": [197, 225, 227, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 225, 345, 236]}, {\"cell\": \" Intravenous thrombolysis\", \"bbox\": [12, 237, 106, 248]}, {\"cell\": \"8 (4.1)\", \"bbox\": [199, 237, 225, 248]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 237, 345, 248]}, {\"cell\": \"1.64\", \"bbox\": [414, 242, 431, 253]}, {\"cell\": \"0.20\", \"bbox\": [476, 242, 493, 253]}, {\"cell\": \" Emergency PCI\", \"bbox\": [12, 249, 70, 260]}, {\"cell\": \"189 (95.9)\", \"bbox\": [193, 250, 232, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [310, 250, 349, 260]}, {\"cell\": \"Vascular lesions\", \"bbox\": [2, 262, 61, 272]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Single\", \"bbox\": [12, 275, 36, 286]}, {\"cell\": \"64 (34.0)\", \"bbox\": [195, 275, 229, 286]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [310, 275, 349, 286]}, {\"cell\": \"−0.37\", \"bbox\": [411, 292, 435, 303]}, {\"cell\": \"0.72\", \"bbox\": [476, 292, 493, 303]}, {\"cell\": \" Two branch\", \"bbox\": [12, 287, 57, 298]}, {\"cell\": \"56 (29.8)\", \"bbox\": [195, 288, 229, 298]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [310, 288, 349, 298]}, {\"cell\": \" Three branch\", \"bbox\": [12, 300, 63, 310]}, {\"cell\": \"65 (34.6)\", \"bbox\": [195, 300, 229, 310]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [310, 300, 349, 310]}, {\"cell\": \" Stenosis < 50%\", \"bbox\": [12, 312, 69, 323]}, {\"cell\": \"3 (1.6)\", \"bbox\": [199, 312, 225, 323]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [317, 312, 342, 323]}, {\"cell\": \"Stent implantation\", \"bbox\": [2, 324, 72, 335]}, {\"cell\": \"1.19 ± 0.63\", \"bbox\": [191, 324, 234, 335]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [308, 324, 351, 335]}, {\"cell\": \"−0.11\", \"bbox\": [411, 324, 435, 335]}, {\"cell\": \"0.92\", \"bbox\": [476, 324, 493, 335]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3450432_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
S.N.GenesTypesFunctionsReferences
1[EMPTY_CELL]Transcription factorRegulation of meristem identity in plants (monocots and dicot); Activation/repression of GA-synthesis genes [95, 96]
2[EMPTY_CELL]Receptor-like kinaseMaintenance of an equilibrium between cell enlargement and organ development; Regulation of apical/floral meristem determinacy[76, 97]
3[EMPTY_CELL]PeptideBinding with the receptor-like kinase CLV1 as its ligand; Restricts WUS expression[65, 76]
4[EMPTY_CELL]Auxin binding proteinABP1- TMK1 complex formation for auxin perception; Maintenance of asymmetric growth at floral primordial region[75, 99]
5[EMPTY_CELL]Plasma membrane associated small GTPaseRegulation of cellular processes; Maintenance of asymmetric growth under the influence of auxin[75]
6[EMPTY_CELL]MADS-domain transcription factorInteraction with floral genes AG and AP3; Regulation of floral organ formation[98]
7[EMPTY_CELL]CRIB-containing ROP effectorRegulator of ROP6 gene; Maintenance of asymmetric growth under the influence of auxin[99]
8[EMPTY_CELL]MADS-domain transcription factorChromatin remodelling; Regulation of flower initiation[74, 98]
9[EMPTY_CELL]Homeodomain transcription factorStem cell activity in meristematic regions; Regulation offloral meristem determinacy[65]
10[EMPTY_CELL]Transcription factorRegulation of floral meristem identity; Activator of AG, AP3 and AP1 genes[73, 74]
\", \"cells\": [{\"cell\": \"S.N.\", \"bbox\": [1, 4, 14, 13]}, {\"cell\": \"Genes\", \"bbox\": [18, 4, 40, 13]}, {\"cell\": \"Types\", \"bbox\": [93, 4, 113, 13]}, {\"cell\": \"Functions\", \"bbox\": [175, 4, 209, 13]}, {\"cell\": \"References\", \"bbox\": [449, 4, 485, 13]}, {\"cell\": \"1\", \"bbox\": [1, 17, 6, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [18, 17, 37, 26]}, {\"cell\": \"Transcription factor\", \"bbox\": [93, 17, 156, 27]}, {\"cell\": \"Regulation of meristem identity in plants (monocots and dicot); Activation/repression of GA-synthesis genes \", \"bbox\": [175, 17, 382, 36]}, {\"cell\": \"[95, 96]\", \"bbox\": [449, 17, 474, 27]}, {\"cell\": \"2\", \"bbox\": [1, 40, 6, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [18, 40, 69, 49]}, {\"cell\": \"Receptor-like kinase\", \"bbox\": [93, 40, 158, 50]}, {\"cell\": \"Maintenance of an equilibrium between cell enlargement and organ development; Regulation of apical/floral meristem determinacy\", \"bbox\": [175, 40, 445, 59]}, {\"cell\": \"[76, 97]\", \"bbox\": [449, 40, 474, 50]}, {\"cell\": \"3\", \"bbox\": [1, 63, 6, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [18, 63, 73, 72]}, {\"cell\": \"Peptide\", \"bbox\": [93, 63, 119, 73]}, {\"cell\": \"Binding with the receptor-like kinase CLV1 as its ligand; Restricts WUS expression\", \"bbox\": [175, 63, 354, 82]}, {\"cell\": \"[65, 76]\", \"bbox\": [449, 63, 474, 73]}, {\"cell\": \"4\", \"bbox\": [1, 86, 6, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [18, 86, 74, 104]}, {\"cell\": \"Auxin binding protein\", \"bbox\": [93, 86, 165, 96]}, {\"cell\": \"ABP1- TMK1 complex formation for auxin perception; Maintenance of asymmetric growth at floral primordial region\", \"bbox\": [175, 86, 376, 105]}, {\"cell\": \"[75, 99]\", \"bbox\": [449, 86, 474, 96]}, {\"cell\": \"5\", \"bbox\": [1, 109, 6, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [18, 109, 76, 127]}, {\"cell\": \"Plasma membrane associated small GTPase\", \"bbox\": [93, 109, 172, 128]}, {\"cell\": \"Regulation of cellular processes; Maintenance of asymmetric growth under the influence of auxin\", \"bbox\": [175, 109, 386, 128]}, {\"cell\": \"[75]\", \"bbox\": [449, 109, 463, 119]}, {\"cell\": \"6\", \"bbox\": [1, 132, 6, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [18, 132, 79, 141]}, {\"cell\": \"MADS-domain transcription factor\", \"bbox\": [93, 132, 155, 151]}, {\"cell\": \"Interaction with floral genes AG and AP3; Regulation of floral organ formation\", \"bbox\": [175, 132, 309, 151]}, {\"cell\": \"[98]\", \"bbox\": [449, 132, 463, 142]}, {\"cell\": \"7\", \"bbox\": [1, 155, 6, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [18, 155, 89, 182]}, {\"cell\": \"CRIB-containing ROP effector\", \"bbox\": [93, 155, 161, 174]}, {\"cell\": \"Regulator of ROP6 gene; Maintenance of asymmetric growth under the influence of auxin\", \"bbox\": [175, 155, 386, 174]}, {\"cell\": \"[99]\", \"bbox\": [449, 155, 463, 165]}, {\"cell\": \"8\", \"bbox\": [1, 187, 6, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [18, 187, 70, 196]}, {\"cell\": \"MADS-domain transcription factor\", \"bbox\": [93, 187, 155, 206]}, {\"cell\": \"Chromatin remodelling; Regulation of flower initiation\", \"bbox\": [175, 187, 273, 206]}, {\"cell\": \"[74, 98]\", \"bbox\": [449, 187, 474, 197]}, {\"cell\": \"9\", \"bbox\": [1, 210, 6, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [18, 210, 71, 219]}, {\"cell\": \"Homeodomain transcription factor\", \"bbox\": [93, 210, 155, 229]}, {\"cell\": \"Stem cell activity in meristematic regions; Regulation offloral meristem determinacy\", \"bbox\": [175, 210, 315, 229]}, {\"cell\": \"[65]\", \"bbox\": [449, 210, 463, 220]}, {\"cell\": \"10\", \"bbox\": [1, 233, 10, 243]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [18, 233, 55, 242]}, {\"cell\": \"Transcription factor\", \"bbox\": [93, 233, 156, 243]}, {\"cell\": \"Regulation of floral meristem identity; Activator of AG, AP3 and AP1 genes\", \"bbox\": [175, 233, 298, 252]}, {\"cell\": \"[73, 74]\", \"bbox\": [449, 233, 474, 243]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4866011_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Crude associationsModel 2.1Model 2.2Model 2.3
[EMPTY_CELL]OR95% CIOR95% CIOR95% CIOR[EMPTY_CELL]
Gender: female1.169(0.705; 1.938)1.130(0.658; 1.942)1.291(0.742; 2.246)[EMPTY_CELL](0.707; 2.170)
Age1.045(0.986; 1.108)1.056(0.993; 1.124)1.058(0.993; 1.127)[EMPTY_CELL](1.004; 1.144)
Low educational level1.658*(1.008; 2.728)1.577(0.931; 2.672)1.543(0.907; 2.624)[EMPTY_CELL](0.943; 2.852)
Health-related behaviour0.686**(0.524; 0.898)[EMPTY_CELL][EMPTY_CELL]0.678**(0.511; 0.901)[EMPTY_CELL](0.507; 0.905)
Physical demands1.141(0.993; 1.312)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL](0.856; 1.185)
Psychological job demands1.673***(1.268; 2.207)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL](1.017; 2.033)
Job control0.565**(0.383; 0.834)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL](0.391; 0.892)
ERI: ER ratio > 13.197***(1.800; 5.678)3.374***(1.881; 6.051)3.334***(1.852; 6.002)[EMPTY_CELL](1.047; 4.183)
N-R2[EMPTY_CELL][EMPTY_CELL]0.063[EMPTY_CELL]0.084[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Crude associations\", \"bbox\": [104, 4, 171, 12]}, {\"cell\": \"Model 2.1\", \"bbox\": [204, 4, 240, 12]}, {\"cell\": \"Model 2.2\", \"bbox\": [303, 4, 339, 12]}, {\"cell\": \"Model 2.3\", \"bbox\": [402, 4, 439, 12]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"OR\", \"bbox\": [104, 17, 116, 25]}, {\"cell\": \"95% CI\", \"bbox\": [146, 17, 173, 25]}, {\"cell\": \"OR\", \"bbox\": [204, 17, 216, 25]}, {\"cell\": \"95% CI\", \"bbox\": [246, 17, 272, 25]}, {\"cell\": \"OR\", \"bbox\": [303, 17, 315, 25]}, {\"cell\": \"95% CI\", \"bbox\": [345, 17, 371, 25]}, {\"cell\": \"OR\", \"bbox\": [402, 17, 414, 25]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Gender: female\", \"bbox\": [1, 30, 51, 40]}, {\"cell\": \"1.169\", \"bbox\": [104, 30, 123, 40]}, {\"cell\": \"(0.705; 1.938)\", \"bbox\": [146, 30, 190, 40]}, {\"cell\": \"1.130\", \"bbox\": [204, 30, 222, 40]}, {\"cell\": \"(0.658; 1.942)\", \"bbox\": [246, 30, 289, 40]}, {\"cell\": \"1.291\", \"bbox\": [303, 30, 322, 40]}, {\"cell\": \"(0.742; 2.246)\", \"bbox\": [345, 30, 388, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 30, 421, 40]}, {\"cell\": \"(0.707; 2.170)\", \"bbox\": [441, 30, 484, 40]}, {\"cell\": \"Age\", \"bbox\": [1, 43, 15, 53]}, {\"cell\": \"1.045\", \"bbox\": [104, 43, 123, 53]}, {\"cell\": \"(0.986; 1.108)\", \"bbox\": [146, 43, 190, 53]}, {\"cell\": \"1.056\", \"bbox\": [204, 43, 222, 53]}, {\"cell\": \"(0.993; 1.124)\", \"bbox\": [246, 43, 289, 53]}, {\"cell\": \"1.058\", \"bbox\": [303, 43, 322, 53]}, {\"cell\": \"(0.993; 1.127)\", \"bbox\": [345, 43, 388, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 43, 424, 53]}, {\"cell\": \"(1.004; 1.144)\", \"bbox\": [441, 43, 484, 53]}, {\"cell\": \"Low educational level\", \"bbox\": [1, 56, 73, 66]}, {\"cell\": \"1.658*\", \"bbox\": [104, 56, 126, 66]}, {\"cell\": \"(1.008; 2.728)\", \"bbox\": [146, 56, 190, 66]}, {\"cell\": \"1.577\", \"bbox\": [204, 56, 222, 66]}, {\"cell\": \"(0.931; 2.672)\", \"bbox\": [246, 56, 289, 66]}, {\"cell\": \"1.543\", \"bbox\": [303, 56, 322, 66]}, {\"cell\": \"(0.907; 2.624)\", \"bbox\": [345, 56, 388, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 56, 421, 66]}, {\"cell\": \"(0.943; 2.852)\", \"bbox\": [441, 56, 484, 66]}, {\"cell\": \"Health-related behaviour\", \"bbox\": [1, 70, 82, 79]}, {\"cell\": \"0.686**\", \"bbox\": [104, 70, 129, 79]}, {\"cell\": \"(0.524; 0.898)\", \"bbox\": [146, 70, 190, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.678**\", \"bbox\": [303, 70, 328, 79]}, {\"cell\": \"(0.511; 0.901)\", \"bbox\": [345, 70, 388, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 70, 427, 79]}, {\"cell\": \"(0.507; 0.905)\", \"bbox\": [441, 70, 484, 79]}, {\"cell\": \"Physical demands\", \"bbox\": [1, 83, 60, 92]}, {\"cell\": \"1.141\", \"bbox\": [104, 83, 123, 92]}, {\"cell\": \"(0.993; 1.312)\", \"bbox\": [146, 83, 190, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 83, 421, 92]}, {\"cell\": \"(0.856; 1.185)\", \"bbox\": [441, 83, 484, 92]}, {\"cell\": \"Psychological job demands\", \"bbox\": [1, 96, 90, 105]}, {\"cell\": \"1.673***\", \"bbox\": [104, 96, 132, 105]}, {\"cell\": \"(1.268; 2.207)\", \"bbox\": [146, 96, 190, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 96, 424, 105]}, {\"cell\": \"(1.017; 2.033)\", \"bbox\": [441, 96, 484, 105]}, {\"cell\": \"Job control\", \"bbox\": [1, 109, 39, 119]}, {\"cell\": \"0.565**\", \"bbox\": [104, 109, 129, 119]}, {\"cell\": \"(0.383; 0.834)\", \"bbox\": [146, 109, 190, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 109, 424, 119]}, {\"cell\": \"(0.391; 0.892)\", \"bbox\": [441, 109, 484, 119]}, {\"cell\": \"ERI: ER ratio > 1\", \"bbox\": [1, 122, 53, 132]}, {\"cell\": \"3.197***\", \"bbox\": [104, 122, 132, 132]}, {\"cell\": \"(1.800; 5.678)\", \"bbox\": [146, 122, 190, 132]}, {\"cell\": \"3.374***\", \"bbox\": [204, 122, 232, 132]}, {\"cell\": \"(1.881; 6.051)\", \"bbox\": [246, 122, 289, 132]}, {\"cell\": \"3.334***\", \"bbox\": [303, 122, 331, 132]}, {\"cell\": \"(1.852; 6.002)\", \"bbox\": [345, 122, 388, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 122, 424, 132]}, {\"cell\": \"(1.047; 4.183)\", \"bbox\": [441, 122, 484, 132]}, {\"cell\": \"N-R2\", \"bbox\": [1, 134, 17, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.063\", \"bbox\": [204, 135, 222, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.084\", \"bbox\": [303, 135, 322, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 135, 421, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3505747_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
SpeciesSatisfiedNot satisfiedMann–Whitney P value
Growing pigs[EMPTY_CELL](n = 7)[EMPTY_CELL]
n pigs[EMPTY_CELL]357 (50–14700)0.93
Poor body condition[EMPTY_CELL]1 (0–5)0.82
Bursitis[EMPTY_CELL]74 (17–99)1.00
Manure on body[EMPTY_CELL]44 (0–70)0.36
Body lesions[EMPTY_CELL]7 (3–14)0.07
Lame[EMPTY_CELL]0 (0–6)0.10
Tail docked[EMPTY_CELL]100 (0–100)0.59
Sows[EMPTY_CELL](n = 5)[EMPTY_CELL]
n pigs[EMPTY_CELL]200 (6–2150)[EMPTY_CELL]
Poor body condition[EMPTY_CELL]0 (0–38)*
Bursitis[EMPTY_CELL]99 (50–100)[EMPTY_CELL]
Soiled[EMPTY_CELL]42 (0–100)[EMPTY_CELL]
Body lesions[EMPTY_CELL]25 (8–48)[EMPTY_CELL]
Tail docked[EMPTY_CELL]100 (75–100)[EMPTY_CELL]
Sheep[EMPTY_CELL](n = 8)[EMPTY_CELL]
n sheep[EMPTY_CELL]120 (42–413)0.10
Wool loss[EMPTY_CELL]16 (0–52)0.60
Cattle[EMPTY_CELL](n = 6)[EMPTY_CELL]
n cattle[EMPTY_CELL]67 (38–345)0.46
Lameness[EMPTY_CELL]7.5 (0–32)0.41
Dirty flank[EMPTY_CELL]21 (0–30)1.00
Dirty legs[EMPTY_CELL]29 (0–57)0.90
Dirty udder[EMPTY_CELL]13 (0–43)0.98
Any tarsal abnormality†[EMPTY_CELL]4 (0–12)0.07
\", \"cells\": [{\"cell\": \"Species\", \"bbox\": [1, 5, 25, 13]}, {\"cell\": \"Satisfied\", \"bbox\": [73, 5, 101, 13]}, {\"cell\": \"Not satisfied\", \"bbox\": [126, 5, 166, 13]}, {\"cell\": \"Mann–Whitney P value\", \"bbox\": [181, 5, 209, 33]}, {\"cell\": \"Growing pigs\", \"bbox\": [1, 47, 43, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [84, 47, 111, 55]}, {\"cell\": \"(n = 7)\", \"bbox\": [136, 47, 160, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"n pigs\", \"bbox\": [1, 56, 21, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [73, 56, 118, 65]}, {\"cell\": \"357 (50–14700)\", \"bbox\": [126, 56, 174, 65]}, {\"cell\": \"0.93\", \"bbox\": [181, 56, 196, 65]}, {\"cell\": \"Poor body condition\", \"bbox\": [1, 66, 66, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 66, 107, 75]}, {\"cell\": \"1 (0–5)\", \"bbox\": [133, 66, 156, 75]}, {\"cell\": \"0.82\", \"bbox\": [181, 66, 196, 75]}, {\"cell\": \"Bursitis\", \"bbox\": [1, 76, 26, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 76, 111, 85]}, {\"cell\": \"74 (17–99)\", \"bbox\": [129, 76, 163, 85]}, {\"cell\": \"1.00\", \"bbox\": [181, 76, 196, 85]}, {\"cell\": \"Manure on body\", \"bbox\": [1, 86, 54, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 86, 107, 95]}, {\"cell\": \"44 (0–70)\", \"bbox\": [129, 86, 160, 95]}, {\"cell\": \"0.36\", \"bbox\": [181, 86, 196, 95]}, {\"cell\": \"Body lesions\", \"bbox\": [1, 96, 42, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 96, 111, 105]}, {\"cell\": \"7 (3–14)\", \"bbox\": [133, 96, 160, 105]}, {\"cell\": \"0.07\", \"bbox\": [181, 96, 196, 105]}, {\"cell\": \"Lame\", \"bbox\": [1, 106, 20, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 106, 107, 115]}, {\"cell\": \"0 (0–6)\", \"bbox\": [133, 106, 156, 115]}, {\"cell\": \"0.10\", \"bbox\": [181, 106, 196, 115]}, {\"cell\": \"Tail docked\", \"bbox\": [1, 116, 39, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [73, 116, 111, 125]}, {\"cell\": \"100 (0–100)\", \"bbox\": [126, 116, 163, 125]}, {\"cell\": \"0.59\", \"bbox\": [181, 116, 196, 125]}, {\"cell\": \"Sows\", \"bbox\": [1, 126, 18, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [84, 126, 111, 135]}, {\"cell\": \"(n = 5)\", \"bbox\": [136, 126, 160, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"n pigs\", \"bbox\": [1, 136, 21, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 136, 114, 145]}, {\"cell\": \"200 (6–2150)\", \"bbox\": [126, 136, 167, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Poor body condition\", \"bbox\": [1, 146, 66, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 146, 107, 155]}, {\"cell\": \"0 (0–38)\", \"bbox\": [133, 146, 160, 155]}, {\"cell\": \"*\", \"bbox\": [181, 146, 187, 155]}, {\"cell\": \"Bursitis\", \"bbox\": [1, 156, 26, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 156, 111, 165]}, {\"cell\": \"99 (50–100)\", \"bbox\": [129, 156, 167, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Soiled\", \"bbox\": [1, 166, 21, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 166, 107, 175]}, {\"cell\": \"42 (0–100)\", \"bbox\": [129, 166, 163, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Body lesions\", \"bbox\": [1, 176, 42, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 176, 107, 185]}, {\"cell\": \"25 (8–48)\", \"bbox\": [129, 176, 160, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Tail docked\", \"bbox\": [1, 186, 39, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [73, 186, 111, 195]}, {\"cell\": \"100 (75–100)\", \"bbox\": [126, 186, 167, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Sheep\", \"bbox\": [1, 196, 20, 205]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [84, 196, 111, 205]}, {\"cell\": \"(n = 8)\", \"bbox\": [136, 196, 160, 205]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"n sheep\", \"bbox\": [1, 206, 26, 215]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 206, 111, 215]}, {\"cell\": \"120 (42–413)\", \"bbox\": [126, 206, 167, 215]}, {\"cell\": \"0.10\", \"bbox\": [181, 206, 196, 215]}, {\"cell\": \"Wool loss\", \"bbox\": [0, 216, 33, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 216, 107, 225]}, {\"cell\": \"16 (0–52)\", \"bbox\": [129, 216, 160, 225]}, {\"cell\": \"0.60\", \"bbox\": [181, 216, 196, 225]}, {\"cell\": \"Cattle\", \"bbox\": [0, 226, 20, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [84, 226, 111, 235]}, {\"cell\": \"(n = 6)\", \"bbox\": [136, 226, 160, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"n cattle\", \"bbox\": [0, 236, 25, 245]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 236, 114, 245]}, {\"cell\": \"67 (38–345)\", \"bbox\": [129, 236, 167, 245]}, {\"cell\": \"0.46\", \"bbox\": [181, 236, 196, 245]}, {\"cell\": \"Lameness\", \"bbox\": [0, 246, 33, 255]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [75, 246, 107, 255]}, {\"cell\": \"7.5 (0–32)\", \"bbox\": [127, 246, 160, 255]}, {\"cell\": \"0.41\", \"bbox\": [181, 246, 196, 255]}, {\"cell\": \"Dirty flank\", \"bbox\": [0, 256, 36, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 256, 107, 265]}, {\"cell\": \"21 (0–30)\", \"bbox\": [129, 256, 160, 265]}, {\"cell\": \"1.00\", \"bbox\": [181, 256, 196, 265]}, {\"cell\": \"Dirty legs\", \"bbox\": [0, 266, 33, 275]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 266, 107, 275]}, {\"cell\": \"29 (0–57)\", \"bbox\": [129, 266, 160, 275]}, {\"cell\": \"0.90\", \"bbox\": [181, 266, 196, 275]}, {\"cell\": \"Dirty udder\", \"bbox\": [1, 276, 39, 285]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 276, 107, 285]}, {\"cell\": \"13 (0–43)\", \"bbox\": [129, 276, 160, 285]}, {\"cell\": \"0.98\", \"bbox\": [181, 276, 196, 285]}, {\"cell\": \"Any tarsal abnormality†\", \"bbox\": [1, 286, 49, 304]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 286, 104, 294]}, {\"cell\": \"4 (0–12)\", \"bbox\": [133, 286, 160, 294]}, {\"cell\": \"0.07\", \"bbox\": [181, 286, 196, 294]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5677772_010_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariableCrude Odds Ratio(95% Confidence Interval)Adjusted Odds Ratio(95% Confidence Interval)
Mother's age at delivery[EMPTY_CELL][EMPTY_CELL]
< 25 years[EMPTY_CELL][EMPTY_CELL]
25-29 years[EMPTY_CELL][EMPTY_CELL]
30-34 years[EMPTY_CELL][EMPTY_CELL]
≥35 years[EMPTY_CELL][EMPTY_CELL]
Highest level of education[EMPTY_CELL][EMPTY_CELL]
University[EMPTY_CELL]1.00
Trade / TAFE[EMPTY_CELL]1.12 (0.70 - 1.77)
High School[EMPTY_CELL]1.95 (1.08 - 3.53)
Mother's relationship status at infant's birth[EMPTY_CELL][EMPTY_CELL]
Relationship[EMPTY_CELL][EMPTY_CELL]
Not in a relationship[EMPTY_CELL][EMPTY_CELL]
Infant's gender[EMPTY_CELL][EMPTY_CELL]
Female[EMPTY_CELL][EMPTY_CELL]
Male[EMPTY_CELL][EMPTY_CELL]
Mother's country of birth[EMPTY_CELL][EMPTY_CELL]
Australia[EMPTY_CELL]1.00
Other[EMPTY_CELL]0.61 (0.40 - 0.95)
\", \"cells\": [{\"cell\": \"Variable\", \"bbox\": [86, 4, 116, 13]}, {\"cell\": \"Crude Odds Ratio(95% Confidence Interval)\", \"bbox\": [228, 4, 320, 22]}, {\"cell\": \"Adjusted Odds Ratio(95% Confidence Interval)\", \"bbox\": [370, 4, 462, 22]}, {\"cell\": \"Mother's age at delivery\", \"bbox\": [58, 26, 145, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"< 25 years\", \"bbox\": [83, 38, 119, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [247, 38, 302, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"25-29 years\", \"bbox\": [82, 50, 120, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [247, 50, 302, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"30-34 years\", \"bbox\": [82, 62, 120, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [247, 62, 302, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"≥35 years\", \"bbox\": [85, 74, 118, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 74, 282, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Highest level of education\", \"bbox\": [54, 86, 148, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"University\", \"bbox\": [85, 98, 118, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 98, 282, 107]}, {\"cell\": \"1.00\", \"bbox\": [408, 98, 423, 107]}, {\"cell\": \"Trade / TAFE\", \"bbox\": [79, 110, 123, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [247, 110, 302, 119]}, {\"cell\": \"1.12 (0.70 - 1.77)\", \"bbox\": [388, 110, 443, 119]}, {\"cell\": \"High School\", \"bbox\": [80, 122, 122, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [247, 122, 302, 131]}, {\"cell\": \"1.95 (1.08 - 3.53)\", \"bbox\": [388, 122, 443, 131]}, {\"cell\": \"Mother's relationship status at infant's birth\", \"bbox\": [23, 134, 179, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Relationship\", \"bbox\": [81, 146, 121, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 146, 282, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Not in a relationship\", \"bbox\": [67, 158, 135, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [247, 158, 302, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Infant's gender\", \"bbox\": [74, 170, 128, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Female\", \"bbox\": [89, 182, 114, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 182, 282, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Male\", \"bbox\": [92, 194, 110, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [247, 194, 302, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Mother's country of birth\", \"bbox\": [56, 205, 146, 215]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Australia\", \"bbox\": [87, 218, 115, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 218, 282, 227]}, {\"cell\": \"1.00\", \"bbox\": [408, 218, 423, 227]}, {\"cell\": \"Other\", \"bbox\": [91, 230, 111, 239]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [247, 230, 302, 239]}, {\"cell\": \"0.61 (0.40 - 0.95)\", \"bbox\": [388, 230, 443, 239]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3323436_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Number of Used Antibiotic Packages in the Period
[EMPTY_CELL]Between October 2012 and October 2013Between December 2013 and December 2014
[EMPTY_CELL]18511228
[EMPTY_CELL]390353
[EMPTY_CELL]196126
[EMPTY_CELL]304300
[EMPTY_CELL]36150
[EMPTY_CELL]2510
[EMPTY_CELL]319
[EMPTY_CELL]327
[EMPTY_CELL]138
[EMPTY_CELL]8620
[EMPTY_CELL]148233
[EMPTY_CELL]16
[EMPTY_CELL]33
[EMPTY_CELL]393180
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Number of Used Antibiotic Packages in the Period\", \"bbox\": [174, 5, 383, 16]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Between October 2012 and October 2013\", \"bbox\": [157, 16, 267, 38]}, {\"cell\": \"Between December 2013 and December 2014\", \"bbox\": [282, 16, 401, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [43, 43, 107, 54]}, {\"cell\": \"1851\", \"bbox\": [202, 43, 222, 54]}, {\"cell\": \"1228\", \"bbox\": [331, 43, 351, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [55, 54, 95, 65]}, {\"cell\": \"390\", \"bbox\": [204, 54, 220, 65]}, {\"cell\": \"353\", \"bbox\": [333, 54, 349, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 65, 141, 76]}, {\"cell\": \"196\", \"bbox\": [204, 65, 220, 76]}, {\"cell\": \"126\", \"bbox\": [333, 65, 349, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [39, 76, 111, 87]}, {\"cell\": \"304\", \"bbox\": [204, 76, 220, 87]}, {\"cell\": \"300\", \"bbox\": [333, 76, 349, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [40, 87, 111, 98]}, {\"cell\": \"36\", \"bbox\": [206, 87, 217, 98]}, {\"cell\": \"150\", \"bbox\": [333, 87, 349, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [49, 98, 102, 109]}, {\"cell\": \"25\", \"bbox\": [206, 98, 217, 109]}, {\"cell\": \"10\", \"bbox\": [336, 98, 347, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [52, 109, 98, 120]}, {\"cell\": \"3\", \"bbox\": [209, 109, 215, 120]}, {\"cell\": \"19\", \"bbox\": [336, 109, 347, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [52, 120, 98, 131]}, {\"cell\": \"32\", \"bbox\": [206, 120, 217, 131]}, {\"cell\": \"7\", \"bbox\": [338, 120, 344, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [48, 131, 102, 142]}, {\"cell\": \"13\", \"bbox\": [206, 131, 217, 142]}, {\"cell\": \"8\", \"bbox\": [338, 131, 344, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [45, 142, 105, 153]}, {\"cell\": \"86\", \"bbox\": [206, 142, 217, 153]}, {\"cell\": \"20\", \"bbox\": [336, 142, 347, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [45, 153, 105, 164]}, {\"cell\": \"148\", \"bbox\": [204, 153, 220, 164]}, {\"cell\": \"233\", \"bbox\": [333, 153, 349, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [55, 164, 95, 175]}, {\"cell\": \"1\", \"bbox\": [209, 164, 215, 175]}, {\"cell\": \"6\", \"bbox\": [338, 164, 344, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [59, 175, 92, 186]}, {\"cell\": \"3\", \"bbox\": [209, 175, 215, 186]}, {\"cell\": \"3\", \"bbox\": [338, 175, 344, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [63, 186, 88, 197]}, {\"cell\": \"393\", \"bbox\": [204, 186, 220, 197]}, {\"cell\": \"180\", \"bbox\": [333, 186, 349, 197]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4690078_005_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Collection methodsTrap nightsTotal catchMean catchRelative sensitivity
[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Experiment 118130672.6NA
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Experiment 11848326.8NA
[EMPTY_CELL]Experiment 21842923.80.28
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Experiment 118109961.1NA
[EMPTY_CELL]Experiment 218100755.90.65
[EMPTY_CELL]Experiment 31644422.70.32
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Experiment 154373669.2NA
[EMPTY_CELL]Experiment 2364008111.31.30
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Experiment 236308185.6NA
[EMPTY_CELL]Experiment 316413988.5NA
[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Experiment 11820.11NA
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Experiment 11820.11NA
[EMPTY_CELL]Experiment 21820.110.28
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Experiment 11830.16NA
[EMPTY_CELL]Experiment 21840.220.55
[EMPTY_CELL]Experiment 3164130.071.40
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Experiment 154210.38NA
[EMPTY_CELL]Experiment 236240.681.70
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Experiment 236140.40NA
[EMPTY_CELL]Experiment 316480.05NA
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{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Experiment 1\", \"bbox\": [68, 281, 116, 291]}, {\"cell\": \"54\", \"bbox\": [185, 281, 195, 291]}, {\"cell\": \"21\", \"bbox\": [267, 281, 277, 291]}, {\"cell\": \"0.38\", \"bbox\": [345, 281, 362, 291]}, {\"cell\": \"NA\", \"bbox\": [442, 281, 456, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Experiment 2\", \"bbox\": [68, 290, 116, 300]}, {\"cell\": \"36\", \"bbox\": [185, 290, 195, 300]}, {\"cell\": \"24\", \"bbox\": [267, 290, 277, 300]}, {\"cell\": \"0.68\", \"bbox\": [345, 290, 362, 300]}, {\"cell\": \"1.70\", \"bbox\": [441, 290, 457, 300]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 300, 16, 310]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Experiment 2\", \"bbox\": [68, 309, 116, 319]}, {\"cell\": \"36\", \"bbox\": [185, 309, 195, 319]}, {\"cell\": \"14\", \"bbox\": [267, 309, 277, 319]}, {\"cell\": \"0.40\", \"bbox\": [345, 309, 362, 319]}, {\"cell\": \"NA\", \"bbox\": [442, 309, 456, 319]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Experiment 3\", \"bbox\": [68, 319, 116, 328]}, {\"cell\": \"164\", \"bbox\": [183, 319, 197, 328]}, {\"cell\": \"8\", \"bbox\": [269, 319, 275, 328]}, {\"cell\": \"0.05\", \"bbox\": [345, 319, 362, 328]}, {\"cell\": \"NA\", \"bbox\": [442, 319, 456, 328]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2720981_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Percent*Weighted NUnweighted N
Urban site[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Dakar[EMPTY_CELL]682289
Guédiawaye[EMPTY_CELL]170240
Pikine[EMPTY_CELL]280289
Mbao[EMPTY_CELL]472232
Mbour[EMPTY_CELL]135488
Kaolack[EMPTY_CELL]142482
Age group[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
<25[EMPTY_CELL]503603
25–34[EMPTY_CELL]9661011
35–39[EMPTY_CELL]278272
40+[EMPTY_CELL]133134
Education level[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
None[EMPTY_CELL]803946
Primary[EMPTY_CELL]679746
Secondary[EMPTY_CELL]397328
Wealth tertile[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Poorest[EMPTY_CELL]715864
Medium[EMPTY_CELL]629704
Highest[EMPTY_CELL]535452
Religion[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Non-Muslim[EMPTY_CELL]9763
Muslim[EMPTY_CELL]1,7821,957
Type of union[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Monogamous[EMPTY_CELL]1,4331,536
Polygynous[EMPTY_CELL]446484
Number of children[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
0–1[EMPTY_CELL]462481
2[EMPTY_CELL]442472
3[EMPTY_CELL]380390
4[EMPTY_CELL]595677
Duration postpartum[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
<6 months[EMPTY_CELL]488485
6–11 months[EMPTY_CELL]496588
12–17 months[EMPTY_CELL]446436
18–23 months[EMPTY_CELL]449511
Total[EMPTY_CELL]1,8792,020
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{\"cell\": \"503\", \"bbox\": [143, 129, 156, 139]}, {\"cell\": \"603\", \"bbox\": [204, 129, 217, 139]}, {\"cell\": \"25–34\", \"bbox\": [8, 143, 30, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 143, 106, 153]}, {\"cell\": \"966\", \"bbox\": [143, 143, 156, 153]}, {\"cell\": \"1011\", \"bbox\": [202, 143, 219, 153]}, {\"cell\": \"35–39\", \"bbox\": [8, 157, 30, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 157, 106, 167]}, {\"cell\": \"278\", \"bbox\": [143, 157, 156, 167]}, {\"cell\": \"272\", \"bbox\": [204, 157, 217, 167]}, {\"cell\": \"40+\", \"bbox\": [8, 171, 23, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 171, 104, 181]}, {\"cell\": \"133\", \"bbox\": [143, 171, 156, 181]}, {\"cell\": \"134\", \"bbox\": [204, 171, 217, 181]}, {\"cell\": \"Education level\", \"bbox\": [0, 185, 51, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"None\", \"bbox\": [8, 199, 28, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 199, 106, 209]}, {\"cell\": \"803\", \"bbox\": [143, 199, 156, 209]}, {\"cell\": \"946\", \"bbox\": [204, 199, 217, 209]}, {\"cell\": \"Primary\", \"bbox\": [8, 213, 34, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 213, 106, 223]}, {\"cell\": \"679\", \"bbox\": [143, 213, 156, 223]}, {\"cell\": \"746\", \"bbox\": [204, 213, 217, 223]}, {\"cell\": \"Secondary\", \"bbox\": [8, 227, 44, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 227, 106, 237]}, {\"cell\": \"397\", \"bbox\": [143, 227, 156, 237]}, {\"cell\": \"328\", \"bbox\": [204, 227, 217, 237]}, {\"cell\": \"Wealth tertile\", \"bbox\": [0, 241, 45, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Poorest\", \"bbox\": [8, 255, 34, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 255, 106, 265]}, {\"cell\": \"715\", \"bbox\": [143, 255, 156, 265]}, {\"cell\": \"864\", \"bbox\": [204, 255, 217, 265]}, {\"cell\": \"Medium\", \"bbox\": [8, 269, 37, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 269, 106, 279]}, {\"cell\": \"629\", \"bbox\": [143, 269, 156, 279]}, {\"cell\": \"704\", \"bbox\": [204, 269, 217, 279]}, {\"cell\": \"Highest\", \"bbox\": [8, 283, 35, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 283, 106, 293]}, {\"cell\": \"535\", \"bbox\": [143, 283, 156, 293]}, {\"cell\": \"452\", \"bbox\": [204, 283, 217, 293]}, {\"cell\": \"Religion\", \"bbox\": [0, 297, 28, 307]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Non-Muslim\", \"bbox\": [8, 311, 49, 321]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 311, 104, 321]}, {\"cell\": \"97\", \"bbox\": [145, 311, 154, 321]}, {\"cell\": \"63\", \"bbox\": [206, 311, 215, 321]}, {\"cell\": \"Muslim\", \"bbox\": [8, 325, 34, 335]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 325, 106, 335]}, {\"cell\": \"1,782\", \"bbox\": [140, 325, 159, 335]}, {\"cell\": \"1,957\", \"bbox\": [201, 325, 220, 335]}, {\"cell\": \"Type of union\", \"bbox\": [0, 339, 47, 349]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Monogamous\", \"bbox\": [8, 353, 55, 363]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 353, 106, 363]}, {\"cell\": \"1,433\", \"bbox\": [140, 353, 159, 363]}, {\"cell\": \"1,536\", \"bbox\": [201, 353, 220, 363]}, {\"cell\": \"Polygynous\", \"bbox\": [8, 367, 47, 377]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 367, 106, 377]}, {\"cell\": \"446\", \"bbox\": [143, 367, 156, 377]}, {\"cell\": \"484\", \"bbox\": [204, 367, 217, 377]}, {\"cell\": \"Number of children\", \"bbox\": [0, 381, 66, 391]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0–1\", \"bbox\": [8, 395, 22, 405]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 395, 106, 405]}, {\"cell\": \"462\", \"bbox\": [143, 395, 156, 405]}, {\"cell\": \"481\", \"bbox\": [204, 395, 217, 405]}, {\"cell\": \"2\", \"bbox\": [8, 409, 14, 419]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 409, 106, 419]}, {\"cell\": \"442\", \"bbox\": [143, 409, 156, 419]}, {\"cell\": \"472\", \"bbox\": [204, 409, 217, 419]}, {\"cell\": \"3\", \"bbox\": [8, 423, 14, 433]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 423, 106, 433]}, {\"cell\": \"380\", \"bbox\": [143, 423, 156, 433]}, {\"cell\": \"390\", \"bbox\": [204, 423, 217, 433]}, {\"cell\": \"4\", \"bbox\": [8, 437, 14, 447]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 437, 106, 447]}, {\"cell\": \"595\", \"bbox\": [143, 437, 156, 447]}, {\"cell\": \"677\", \"bbox\": [204, 437, 217, 447]}, {\"cell\": \"Duration postpartum\", \"bbox\": [0, 451, 70, 461]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<6 months\", \"bbox\": [8, 465, 46, 475]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 465, 106, 475]}, {\"cell\": \"488\", \"bbox\": [143, 465, 156, 475]}, {\"cell\": \"485\", \"bbox\": [204, 465, 217, 475]}, {\"cell\": \"6–11 months\", \"bbox\": [8, 479, 53, 489]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 479, 106, 489]}, {\"cell\": \"496\", \"bbox\": [143, 479, 156, 489]}, {\"cell\": \"588\", \"bbox\": [204, 479, 217, 489]}, {\"cell\": \"12–17 months\", \"bbox\": [8, 493, 57, 503]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 493, 106, 503]}, {\"cell\": \"446\", \"bbox\": [143, 493, 156, 503]}, {\"cell\": \"436\", \"bbox\": [204, 493, 217, 503]}, {\"cell\": \"18–23 months\", \"bbox\": [8, 507, 57, 517]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 507, 106, 517]}, {\"cell\": \"449\", \"bbox\": [143, 507, 156, 517]}, {\"cell\": \"511\", \"bbox\": [204, 507, 217, 517]}, {\"cell\": \"Total\", \"bbox\": [0, 521, 18, 531]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [89, 521, 109, 531]}, {\"cell\": \"1,879\", \"bbox\": [140, 521, 159, 531]}, {\"cell\": \"2,020\", \"bbox\": [201, 521, 220, 531]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3846684_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Mal3 (nM)Growth (mean±s.e.m. (n), nm s−1)Shrinkage (mean±s.e.m. (n), nm s−1)Catastrophe (frequency±CL (n), min−1)Rescue (frequency±CL (n), min−1)
[EMPTY_CELL]
[EMPTY_CELL]7.44±0.44 (148)227.6±14.0 (136)0.43±0.36/0.51 (137)0.29±0.06/0.85 (3)
[EMPTY_CELL]7.25±0.27 (138)240.4±14.3 (126)*0.49±0.41/0.58 (129)0.00±0.00/3.69 (0)
[EMPTY_CELL]6.03±0.29 (88)316.0±26.4 (84)0.48±0.38/0.59 (85)0.22±0.01/1.22 (1)
[EMPTY_CELL]7.20±0.53 (97)213.2±17.5 (88)0.48±0.38/0.59 (82)0.88±0.32/1.92 (6)
[EMPTY_CELL]9.12±0.38 (116)*107.6±7.5 (108)*0.56±0.46/0.68 (107)4.33±3.44/5.37 (82)†
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]
[EMPTY_CELL]2.90±0.27 (71)109.3±8.3 (59)0.18±0.14/0.23 (57)2.26±1.68/2.98 (50)
[EMPTY_CELL]3.17±0.33 (63)113.4±9.1 (53)0.22±0.17/0.29 (53)2.75±1.63/4.34 (18)
[EMPTY_CELL]2.10±0.59 (17)115.4±24.3 (14)0.15±0.08/0.26 (14)3.84±1.24/8.95 (5)
[EMPTY_CELL]2.94±0.78 (39)66.2±10.3 (58)*0.24±0.17/0.34 (33)0.59±0.40/0.84 (30)
[EMPTY_CELL]1.53±0.25 (14)60.6±9.5 (5)0.03±0.01/0.06 (5)5.52±1.79/12.89 (5)
\", \"cells\": [{\"cell\": \"Mal3 (nM)\", \"bbox\": [2, 3, 41, 12]}, {\"cell\": \"Growth (mean±s.e.m. (n), nm s−1)\", \"bbox\": [74, 3, 154, 21]}, {\"cell\": \"Shrinkage (mean±s.e.m. (n), nm s−1)\", \"bbox\": [177, 3, 265, 21]}, {\"cell\": \"Catastrophe (frequency±CL (n), min−1)\", \"bbox\": [289, 3, 389, 21]}, {\"cell\": \"Rescue (frequency±CL (n), min−1)\", \"bbox\": [412, 3, 494, 21]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 24, 30, 32]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 33, 16, 42]}, {\"cell\": \"7.44±0.44 (148)\", \"bbox\": [82, 33, 144, 42]}, {\"cell\": \"227.6±14.0 (136)\", \"bbox\": [189, 33, 252, 42]}, {\"cell\": \"0.43±0.36/0.51 (137)\", \"bbox\": [298, 33, 376, 42]}, {\"cell\": \"0.29±0.06/0.85 (3)\", \"bbox\": [414, 33, 488, 42]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 43, 14, 52]}, {\"cell\": \"7.25±0.27 (138)\", \"bbox\": [83, 43, 143, 52]}, {\"cell\": \"240.4±14.3 (126)*\", \"bbox\": [188, 43, 255, 52]}, {\"cell\": \"0.49±0.41/0.58 (129)\", \"bbox\": [298, 43, 377, 52]}, {\"cell\": \"0.00±0.00/3.69 (0)\", \"bbox\": [413, 43, 488, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 52, 19, 61]}, {\"cell\": \"6.03±0.29 (88)\", \"bbox\": [82, 52, 141, 61]}, {\"cell\": \"316.0±26.4 (84)\", \"bbox\": [190, 52, 251, 61]}, {\"cell\": \"0.48±0.38/0.59 (85)\", \"bbox\": [298, 52, 376, 61]}, {\"cell\": \"0.22±0.01/1.22 (1)\", \"bbox\": [414, 52, 482, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 62, 21, 71]}, {\"cell\": \"7.20±0.53 (97)\", \"bbox\": [83, 62, 140, 71]}, {\"cell\": \"213.2±17.5 (88)\", \"bbox\": [191, 62, 249, 71]}, {\"cell\": \"0.48±0.38/0.59 (82)\", \"bbox\": [298, 62, 376, 71]}, {\"cell\": \"0.88±0.32/1.92 (6)\", \"bbox\": [414, 62, 485, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 71, 24, 80]}, {\"cell\": \"9.12±0.38 (116)*\", \"bbox\": [84, 71, 145, 80]}, {\"cell\": \"107.6±7.5 (108)*\", \"bbox\": [190, 71, 252, 80]}, {\"cell\": \"0.56±0.46/0.68 (107)\", \"bbox\": [298, 71, 380, 80]}, {\"cell\": \"4.33±3.44/5.37 (82)†\", \"bbox\": [415, 70, 494, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 90, 36, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 100, 16, 108]}, {\"cell\": \"2.90±0.27 (71)\", \"bbox\": [82, 100, 139, 108]}, {\"cell\": \"109.3±8.3 (59)\", \"bbox\": [190, 100, 246, 108]}, {\"cell\": \"0.18±0.14/0.23 (57)\", \"bbox\": [299, 100, 374, 108]}, {\"cell\": \"2.26±1.68/2.98 (50)\", \"bbox\": [415, 100, 490, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 109, 14, 118]}, {\"cell\": \"3.17±0.33 (63)\", \"bbox\": [85, 109, 140, 118]}, {\"cell\": \"113.4±9.1 (53)\", \"bbox\": [192, 109, 244, 118]}, {\"cell\": \"0.22±0.17/0.29 (53)\", \"bbox\": [298, 109, 374, 118]}, {\"cell\": \"2.75±1.63/4.34 (18)\", \"bbox\": [415, 109, 488, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 118, 19, 127]}, {\"cell\": \"2.10±0.59 (17)\", \"bbox\": [84, 118, 139, 127]}, {\"cell\": \"115.4±24.3 (14)\", \"bbox\": [191, 118, 249, 127]}, {\"cell\": \"0.15±0.08/0.26 (14)\", \"bbox\": [300, 118, 375, 127]}, {\"cell\": \"3.84±1.24/8.95 (5)\", \"bbox\": [414, 118, 485, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 128, 21, 137]}, {\"cell\": \"2.94±0.78 (39)\", \"bbox\": [83, 128, 141, 137]}, {\"cell\": \"66.2±10.3 (58)*\", \"bbox\": [193, 128, 252, 137]}, {\"cell\": \"0.24±0.17/0.34 (33)\", \"bbox\": [298, 128, 374, 137]}, {\"cell\": \"0.59±0.40/0.84 (30)\", \"bbox\": [414, 128, 493, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 137, 24, 146]}, {\"cell\": \"1.53±0.25 (14)\", \"bbox\": [85, 137, 139, 146]}, {\"cell\": \"60.6±9.5 (5)\", \"bbox\": [192, 137, 241, 146]}, {\"cell\": \"0.03±0.01/0.06 (5)\", \"bbox\": [298, 137, 371, 146]}, {\"cell\": \"5.52±1.79/12.89 (5)\", \"bbox\": [415, 137, 487, 146]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3921467_006_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
MeasureDescriptionRange
[EMPTY_CELL]
[EMPTY_CELL]Information content of the most informative common ancestor of two terms≥ 0
[EMPTY_CELL]Normalized Resnik similarity score by assessing how close two terms are to their most informative common ancestor[0, 1)
[EMPTY_CELL]Weighted Lin similarity score by using the probability of annotations of the most informative common ancestor[0,1)
[EMPTY_CELL]Based on the difference between two terms and their most informative common ancestor in information content(0,1]
[EMPTY_CELL]
[EMPTY_CELL]The average of the similarity scores for all pairs of terms between two groups of protein annotationsSame with those for the corresponding similarity scores for term pairs
[EMPTY_CELL]The score of the best-matching pairs between two groups of protein annotations[EMPTY_CELL]
[EMPTY_CELL]
[EMPTY_CELL]The number of terms shared by the annotations for two proteins≥ 1
[EMPTY_CELL]Dividing TO by the minimum of the annotation lengths of two proteins(0,1]
[EMPTY_CELL]Dividing TO by the average of annotation lengths of two proteins(0,1]
[EMPTY_CELL]A chance-corrected measure of co-occurrence between two groups of protein annotations[0, 1]
[EMPTY_CELL]Jaccard index weighted by the information content of each GO term[0, 1]
[EMPTY_CELL]Cosine similarity weighted by the information content of each GO term[0, 1]
\", \"cells\": [{\"cell\": \"Measure\", \"bbox\": [5, 3, 37, 13]}, {\"cell\": \"Description\", \"bbox\": [57, 3, 100, 13]}, {\"cell\": \"Range\", \"bbox\": [331, 3, 355, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [192, 29, 294, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 55, 38, 65]}, {\"cell\": \"Information content of the most informative common ancestor of two terms\", \"bbox\": [57, 55, 312, 65]}, {\"cell\": \"≥ 0\", \"bbox\": [330, 55, 343, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 69, 27, 79]}, {\"cell\": \"Normalized Resnik similarity score by assessing how close two terms are to their most informative common ancestor\", \"bbox\": [57, 69, 323, 89]}, {\"cell\": \"[0, 1)\", \"bbox\": [331, 69, 349, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 93, 25, 103]}, {\"cell\": \"Weighted Lin similarity score by using the probability of annotations of the most informative common ancestor\", \"bbox\": [57, 93, 323, 113]}, {\"cell\": \"[0,1)\", \"bbox\": [331, 93, 347, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 117, 34, 127]}, {\"cell\": \"Based on the difference between two terms and their most informative common ancestor in information content\", \"bbox\": [57, 117, 323, 137]}, {\"cell\": \"(0,1]\", \"bbox\": [331, 117, 347, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 153, 393, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 179, 31, 189]}, {\"cell\": \"The average of the similarity scores for all pairs of terms between two groups of protein annotations\", \"bbox\": [57, 179, 322, 199]}, {\"cell\": \"Same with those for the corresponding similarity scores for term pairs\", \"bbox\": [331, 179, 462, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 203, 33, 213]}, {\"cell\": \"The score of the best-matching pairs between two groups of protein annotations\", \"bbox\": [57, 203, 324, 213]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [88, 229, 397, 239]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 255, 26, 265]}, {\"cell\": \"The number of terms shared by the annotations for two proteins\", \"bbox\": [57, 255, 273, 265]}, {\"cell\": \"≥ 1\", \"bbox\": [330, 255, 343, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 269, 32, 279]}, {\"cell\": \"Dividing TO by the minimum of the annotation lengths of two proteins\", \"bbox\": [57, 269, 295, 279]}, {\"cell\": \"(0,1]\", \"bbox\": [330, 269, 347, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 283, 36, 293]}, {\"cell\": \"Dividing TO by the average of annotation lengths of two proteins\", \"bbox\": [57, 283, 276, 293]}, {\"cell\": \"(0,1]\", \"bbox\": [330, 283, 347, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 297, 42, 307]}, {\"cell\": \"A chance-corrected measure of co-occurrence between two groups of protein annotations\", \"bbox\": [57, 297, 318, 317]}, {\"cell\": \"[0, 1]\", \"bbox\": [331, 297, 349, 307]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 321, 29, 331]}, {\"cell\": \"Jaccard index weighted by the information content of each GO term\", \"bbox\": [57, 321, 285, 331]}, {\"cell\": \"[0, 1]\", \"bbox\": [330, 321, 348, 331]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 335, 36, 345]}, {\"cell\": \"Cosine similarity weighted by the information content of each GO term\", \"bbox\": [57, 335, 295, 345]}, {\"cell\": \"[0, 1]\", \"bbox\": [330, 335, 349, 345]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2903568_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Method of norovirus detectionIID CasesControlsRank-sum test p-valuecomparing cases to controls
[EMPTY_CELL]Median Ct valueCt value IQRSample sizeMedian Ct valueCt value IQRSample size[EMPTY_CELL]
All ages[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
All[EMPTY_CELL]25–375893835–39159<0.0001
Electron microscopy[EMPTY_CELL]21–27.592[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]<0.0001
RT-PCR(Electron microscopy negative)[EMPTY_CELL]29–38497[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]<0.0001
< 5 years[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
All[EMPTY_CELL]26–372533734–3892<0.0001
Electron microscopy[EMPTY_CELL]21–2548[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]<0.0001
RT-PCR(Electron microscopy negative)[EMPTY_CELL]32–37205[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.0001
5 years +[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
All[EMPTY_CELL]25–383343836–3967<0.0001
Electron microscopy[EMPTY_CELL]22–28.544[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]<0.0001
RT-PCR(Electron microscopy negative)[EMPTY_CELL]27–38290[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]<0.0001
\", \"cells\": [{\"cell\": \"Method of norovirus detection\", \"bbox\": [4, 4, 110, 14]}, {\"cell\": \"IID Cases\", \"bbox\": [181, 4, 215, 14]}, {\"cell\": \"Controls\", \"bbox\": [309, 4, 341, 14]}, {\"cell\": \"Rank-sum test p-valuecomparing cases to controls\", \"bbox\": [401, 4, 497, 23]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Median Ct value\", \"bbox\": [143, 36, 180, 55]}, {\"cell\": \"Ct value IQR\", \"bbox\": [192, 36, 222, 55]}, {\"cell\": \"Sample size\", \"bbox\": [233, 36, 259, 55]}, {\"cell\": \"Median Ct value\", \"bbox\": [271, 36, 308, 55]}, {\"cell\": \"Ct value IQR\", \"bbox\": [319, 36, 349, 55]}, {\"cell\": \"Sample size\", \"bbox\": [361, 36, 386, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"All ages\", \"bbox\": [4, 67, 32, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" All\", \"bbox\": [14, 78, 26, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 78, 180, 87]}, {\"cell\": \"25–37\", \"bbox\": [199, 78, 222, 87]}, {\"cell\": \"589\", \"bbox\": [244, 78, 259, 87]}, {\"cell\": \"38\", \"bbox\": [298, 78, 308, 87]}, {\"cell\": \"35–39\", \"bbox\": [327, 78, 349, 87]}, {\"cell\": \"159\", \"bbox\": [372, 78, 386, 87]}, {\"cell\": \"<0.0001\", \"bbox\": [468, 78, 497, 87]}, {\"cell\": \" Electron microscopy\", \"bbox\": [14, 88, 86, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 88, 180, 98]}, {\"cell\": \"21–27.5\", \"bbox\": [193, 88, 222, 98]}, {\"cell\": \"92\", \"bbox\": [248, 88, 259, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.0001\", \"bbox\": [468, 88, 497, 98]}, {\"cell\": \" RT-PCR(Electron 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[170, 209, 180, 219]}, {\"cell\": \"22–28.5\", \"bbox\": [193, 209, 222, 219]}, {\"cell\": \"44\", \"bbox\": [248, 209, 259, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.0001\", \"bbox\": [468, 209, 497, 219]}, {\"cell\": \" RT-PCR(Electron microscopy negative)\", \"bbox\": [14, 219, 120, 238]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 219, 180, 229]}, {\"cell\": \"27–38\", \"bbox\": [199, 219, 222, 229]}, {\"cell\": \"290\", \"bbox\": [244, 219, 259, 229]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.0001\", \"bbox\": [468, 219, 497, 229]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2698835_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
FGAsetsizeAstESR (285)RescueESE (238)ChPESE (1701)FasESS (176)ChPESS (924)
[EMPTY_CELL][EMPTY_CELL]Overlap, P-valueOverlap, P-valueOverlap, P-valueOverlap, P-valueOverlap, P-value
[EMPTY_CELL]313340.00514240.094151752.09e-06100.877730.5407
[EMPTY_CELL]177280.00003240.000071301.42e-1810.9998*
[EMPTY_CELL]13660.920890*430.993990.129593.19e-08
[EMPTY_CELL]317350.00347260.043191771.96e-06100.887720.6423
[EMPTY_CELL]179290.00001250.000031292.74e-1710.9999*
[EMPTY_CELL]13860.9271410.99999460.981990.137574.22e-07
[EMPTY_CELL]342350.01147270.059202781.06e-08120.812700.9300
[EMPTY_CELL]187290.00003250.000061341.40e-1730.9999*
[EMPTY_CELL]15560.9649620.99915590.835290.221540.000257
[EMPTY_CELL]465540.00006270.534012781.06e-08170.799910.9993
[EMPTY_CELL]263380.00001250.008991656.61e-1370.94319*
[EMPTY_CELL]202160.3299420.99984760.8907100.368640.001374
[EMPTY_CELL]64100.01195321.32e-23605.59e-1910.94140.9999
[EMPTY_CELL]5690.01403302.47e-23524.27e-160*40.9995
[EMPTY_CELL]10521261.44e-121121.81e-136133.73e-37260.9991830.9999
[EMPTY_CELL]701932.28e-111096.16e-284821.02e-5760.99963*
[EMPTY_CELL]271200.4250410.99999900.9985190.0221061.54e-10
\", \"cells\": [{\"cell\": \"FGAset\", \"bbox\": [28, 5, 56, 14]}, {\"cell\": \"size\", \"bbox\": [93, 5, 108, 14]}, {\"cell\": \"AstESR (285)\", \"bbox\": [131, 5, 180, 14]}, {\"cell\": \"RescueESE (238)\", \"bbox\": [199, 5, 261, 14]}, {\"cell\": \"ChPESE (1701)\", \"bbox\": [281, 5, 337, 14]}, {\"cell\": \"FasESS (176)\", \"bbox\": [365, 5, 413, 14]}, {\"cell\": \"ChPESS (924)\", \"bbox\": [439, 5, 490, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Overlap, P-value\", \"bbox\": [125, 15, 187, 24]}, {\"cell\": \"Overlap, P-value\", \"bbox\": [198, 15, 261, 24]}, {\"cell\": \"Overlap, P-value\", \"bbox\": [278, 15, 340, 24]}, {\"cell\": \"Overlap, P-value\", \"bbox\": [358, 15, 421, 24]}, {\"cell\": \"Overlap, P-value\", \"bbox\": [433, 15, 496, 24]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 37, 69, 47]}, {\"cell\": \"313\", \"bbox\": [93, 37, 107, 47]}, {\"cell\": \"34\", \"bbox\": [130, 37, 140, 47]}, {\"cell\": 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\"bbox\": [365, 201, 371, 211]}, {\"cell\": \"0.941\", \"bbox\": [396, 201, 416, 211]}, {\"cell\": \"4\", \"bbox\": [440, 201, 446, 211]}, {\"cell\": \"0.9999\", \"bbox\": [467, 201, 494, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 211, 74, 221]}, {\"cell\": \"56\", \"bbox\": [95, 211, 105, 221]}, {\"cell\": \"9\", \"bbox\": [132, 211, 138, 221]}, {\"cell\": \"0.01403\", \"bbox\": [158, 211, 187, 221]}, {\"cell\": \"30\", \"bbox\": [203, 211, 213, 221]}, {\"cell\": \"2.47e-23\", \"bbox\": [227, 211, 262, 219]}, {\"cell\": \"52\", \"bbox\": [282, 211, 293, 221]}, {\"cell\": \"4.27e-16\", \"bbox\": [313, 211, 347, 219]}, {\"cell\": \"0\", \"bbox\": [365, 211, 371, 221]}, {\"cell\": \"*\", \"bbox\": [403, 211, 409, 221]}, {\"cell\": \"4\", \"bbox\": [440, 211, 446, 221]}, {\"cell\": \"0.9995\", \"bbox\": [467, 211, 494, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 232, 70, 241]}, {\"cell\": \"1052\", \"bbox\": [91, 232, 109, 241]}, {\"cell\": \"126\", \"bbox\": [128, 232, 142, 241]}, {\"cell\": \"1.44e-12\", \"bbox\": [155, 232, 189, 240]}, {\"cell\": \"112\", \"bbox\": [201, 232, 215, 241]}, {\"cell\": \"1.81e-13\", \"bbox\": [227, 232, 262, 240]}, {\"cell\": \"613\", \"bbox\": [280, 232, 294, 241]}, {\"cell\": \"3.73e-37\", \"bbox\": [313, 232, 347, 240]}, {\"cell\": \"26\", \"bbox\": [363, 232, 373, 241]}, {\"cell\": \"0.999\", \"bbox\": [394, 232, 417, 240]}, {\"cell\": \"183\", \"bbox\": [436, 232, 450, 241]}, {\"cell\": \"0.9999\", \"bbox\": [467, 232, 494, 240]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 242, 72, 252]}, {\"cell\": \"701\", \"bbox\": [93, 242, 107, 252]}, {\"cell\": \"93\", \"bbox\": [130, 242, 140, 252]}, {\"cell\": \"2.28e-11\", \"bbox\": [155, 242, 189, 250]}, {\"cell\": \"109\", \"bbox\": [201, 242, 215, 252]}, {\"cell\": \"6.16e-28\", \"bbox\": [227, 242, 262, 250]}, {\"cell\": \"482\", \"bbox\": [280, 242, 294, 252]}, {\"cell\": \"1.02e-57\", \"bbox\": [313, 242, 347, 250]}, {\"cell\": \"6\", \"bbox\": [365, 242, 371, 252]}, {\"cell\": \"0.999\", \"bbox\": [394, 242, 417, 250]}, {\"cell\": \"63\", \"bbox\": [438, 242, 448, 252]}, {\"cell\": \"*\", \"bbox\": [477, 242, 483, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 252, 71, 262]}, {\"cell\": \"271\", \"bbox\": [93, 252, 107, 262]}, {\"cell\": \"20\", \"bbox\": [130, 252, 140, 262]}, {\"cell\": \"0.42504\", \"bbox\": [158, 252, 187, 262]}, {\"cell\": \"1\", \"bbox\": [205, 252, 211, 262]}, {\"cell\": \"0.99999\", \"bbox\": [229, 252, 260, 260]}, {\"cell\": \"90\", \"bbox\": [282, 252, 293, 262]}, {\"cell\": \"0.9985\", \"bbox\": [318, 252, 342, 262]}, {\"cell\": \"19\", \"bbox\": [363, 252, 373, 262]}, {\"cell\": \"0.022\", \"bbox\": [396, 252, 416, 262]}, {\"cell\": \"106\", \"bbox\": [436, 252, 450, 262]}, {\"cell\": \"1.54e-10\", \"bbox\": [463, 252, 498, 260]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2241647_010_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
LevelCharacteristics[EMPTY_CELL]OR *CI (95%) **
Level 3HIV/AIDSNegativeReference
[EMPTY_CELL][EMPTY_CELL]Positive2.15[EMPTY_CELL]
[EMPTY_CELL]AlcoholismNoReference
[EMPTY_CELL][EMPTY_CELL]Yes0.45[EMPTY_CELL]
[EMPTY_CELL]DiabetesNoReference
[EMPTY_CELL][EMPTY_CELL]Yes0.54[EMPTY_CELL]
[EMPTY_CELL]Mental illnessNoReference
[EMPTY_CELL][EMPTY_CELL]Yes0.88[EMPTY_CELL]
[EMPTY_CELL]Other diseasesNoReference
[EMPTY_CELL][EMPTY_CELL]Yes1.18[EMPTY_CELL]
Level 4Admission typeNew casesReference
[EMPTY_CELL][EMPTY_CELL]Relapse0.65[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]Readmission after dropout0.39[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]Unknown0.66[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]Transfer1.31[EMPTY_CELL]
[EMPTY_CELL]TSTNegativeReference
[EMPTY_CELL][EMPTY_CELL]Positive1.08[EMPTY_CELL]
[EMPTY_CELL]AFB smearNegativeReference
[EMPTY_CELL][EMPTY_CELL]Positive0.12[EMPTY_CELL]
[EMPTY_CELL]CultureNegativeReference
[EMPTY_CELL][EMPTY_CELL]Positive0.64[EMPTY_CELL]
[EMPTY_CELL]HistopathologyNegativeReference
[EMPTY_CELL][EMPTY_CELL]Positive3.57[EMPTY_CELL]
Level 5DOTNot performedReference
[EMPTY_CELL][EMPTY_CELL]Performed0.69[EMPTY_CELL]
[EMPTY_CELL]Exit conditionCureReference
[EMPTY_CELL][EMPTY_CELL]Dropout0.79[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]Death by TB0.73[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]Death by other causes1.05[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]Transferal1.24[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]MDR-TB0.43[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Level\", \"bbox\": [1, 4, 21, 13]}, {\"cell\": \"Characteristics\", \"bbox\": [30, 4, 83, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"OR *\", \"bbox\": [160, 4, 178, 13]}, {\"cell\": \"CI (95%) **\", \"bbox\": [196, 4, 236, 13]}, {\"cell\": \"Level 3\", \"bbox\": [1, 17, 25, 27]}, {\"cell\": \"HIV/AIDS\", \"bbox\": [30, 17, 61, 27]}, {\"cell\": \"Negative\", \"bbox\": [87, 17, 117, 27]}, {\"cell\": \"Reference\", \"bbox\": [160, 17, 193, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Positive\", \"bbox\": [87, 31, 113, 41]}, {\"cell\": \"2.15\", \"bbox\": [160, 31, 175, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 31, 232, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Alcoholism\", \"bbox\": [30, 45, 68, 55]}, {\"cell\": \"No\", \"bbox\": [87, 45, 98, 55]}, {\"cell\": \"Reference\", \"bbox\": [160, 45, 193, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Yes\", \"bbox\": [87, 59, 99, 69]}, {\"cell\": \"0.45\", \"bbox\": [160, 59, 175, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 59, 232, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Diabetes\", \"bbox\": [30, 73, 60, 83]}, {\"cell\": \"No\", \"bbox\": [87, 73, 98, 83]}, {\"cell\": \"Reference\", \"bbox\": [160, 73, 193, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Yes\", \"bbox\": [87, 87, 99, 97]}, {\"cell\": \"0.54\", \"bbox\": [160, 87, 175, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 87, 232, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Mental illness\", \"bbox\": [30, 101, 76, 111]}, {\"cell\": \"No\", \"bbox\": [87, 101, 98, 111]}, {\"cell\": \"Reference\", \"bbox\": [160, 101, 193, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Yes\", \"bbox\": [87, 115, 99, 125]}, {\"cell\": \"0.88\", \"bbox\": [160, 115, 175, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 115, 232, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Other diseases\", \"bbox\": [30, 129, 79, 139]}, {\"cell\": \"No\", \"bbox\": [87, 129, 98, 139]}, {\"cell\": \"Reference\", \"bbox\": [160, 129, 193, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Yes\", \"bbox\": [87, 143, 99, 153]}, {\"cell\": \"1.18\", \"bbox\": [160, 143, 175, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 143, 232, 153]}, {\"cell\": \"Level 4\", \"bbox\": [1, 157, 25, 167]}, {\"cell\": \"Admission type\", \"bbox\": [30, 157, 82, 167]}, {\"cell\": \"New cases\", \"bbox\": [87, 157, 122, 167]}, {\"cell\": \"Reference\", \"bbox\": [160, 157, 193, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Relapse\", \"bbox\": [87, 171, 113, 181]}, {\"cell\": \"0.65\", \"bbox\": [160, 171, 175, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 171, 232, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Readmission after dropout\", \"bbox\": [87, 185, 145, 204]}, {\"cell\": \"0.39\", \"bbox\": [160, 185, 175, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 185, 232, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Unknown\", \"bbox\": [87, 208, 120, 218]}, {\"cell\": \"0.66\", \"bbox\": [160, 208, 175, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 208, 232, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Transfer\", \"bbox\": [87, 222, 114, 232]}, {\"cell\": \"1.31\", \"bbox\": [160, 222, 175, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 222, 232, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TST\", \"bbox\": [30, 236, 43, 246]}, {\"cell\": \"Negative\", \"bbox\": [87, 236, 117, 246]}, {\"cell\": \"Reference\", \"bbox\": [160, 236, 193, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Positive\", \"bbox\": [87, 250, 113, 260]}, {\"cell\": \"1.08\", \"bbox\": [160, 250, 175, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 250, 232, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"AFB smear\", \"bbox\": [30, 264, 66, 274]}, {\"cell\": \"Negative\", \"bbox\": [87, 264, 117, 274]}, {\"cell\": \"Reference\", \"bbox\": [160, 264, 193, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Positive\", \"bbox\": [87, 278, 113, 288]}, {\"cell\": \"0.12\", \"bbox\": [160, 278, 175, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 278, 232, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Culture\", \"bbox\": [30, 292, 56, 302]}, {\"cell\": \"Negative\", \"bbox\": [87, 292, 117, 302]}, {\"cell\": \"Reference\", \"bbox\": [160, 292, 193, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Positive\", \"bbox\": [87, 306, 113, 316]}, {\"cell\": \"0.64\", \"bbox\": [160, 306, 175, 316]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 306, 232, 316]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Histopathology\", \"bbox\": [30, 320, 81, 330]}, {\"cell\": \"Negative\", \"bbox\": [87, 320, 117, 330]}, {\"cell\": \"Reference\", \"bbox\": [160, 320, 193, 330]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Positive\", \"bbox\": [87, 334, 113, 344]}, {\"cell\": \"3.57\", \"bbox\": [160, 334, 175, 344]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 334, 232, 344]}, {\"cell\": \"Level 5\", \"bbox\": [1, 348, 25, 358]}, {\"cell\": \"DOT\", \"bbox\": [30, 348, 47, 358]}, {\"cell\": \"Not performed\", \"bbox\": [87, 348, 136, 358]}, {\"cell\": \"Reference\", \"bbox\": [160, 348, 193, 358]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Performed\", \"bbox\": [87, 362, 122, 372]}, {\"cell\": \"0.69\", \"bbox\": [160, 362, 175, 372]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 362, 232, 372]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Exit condition\", \"bbox\": [30, 376, 77, 386]}, {\"cell\": \"Cure\", \"bbox\": [87, 376, 103, 386]}, {\"cell\": \"Reference\", \"bbox\": [160, 376, 193, 386]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Dropout\", \"bbox\": [87, 390, 115, 400]}, {\"cell\": \"0.79\", \"bbox\": [160, 390, 175, 400]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 390, 232, 400]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Death by TB\", \"bbox\": [87, 404, 128, 414]}, {\"cell\": \"0.73\", \"bbox\": [160, 404, 175, 414]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 404, 232, 414]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Death by other causes\", \"bbox\": [87, 418, 137, 437]}, {\"cell\": \"1.05\", \"bbox\": [160, 418, 175, 428]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 418, 232, 428]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Transferal\", \"bbox\": [87, 441, 119, 451]}, {\"cell\": \"1.24\", \"bbox\": [160, 441, 175, 451]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 441, 232, 451]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"MDR-TB\", \"bbox\": [87, 455, 114, 465]}, {\"cell\": \"0.43\", \"bbox\": [160, 455, 175, 465]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 455, 232, 465]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3893400_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Measured variables (minimum–maximum)BoysGirls Boys versus girls
(n = 1547)(n = 1503) (n = 3050)
M (SD)M (SD) tp value
Knowledge of dating violence total score (0–5)3.3 (1.6)3.9 (1.3)[EMPTY_CELL]<0.001
Self-esteem total score (10–40)25.9 (4.9)24.0 (5.3) [EMPTY_CELL]<0.001
Conservative attitudes toward sexual activities total score (3–12)9.1 (2.6)9.1 (2.4) [EMPTY_CELL]0.992
Attitudes toward equal dating relationship total score (3–12)10.3 (1.8)10.6 (1.7)[EMPTY_CELL]<0.001
Positive relationship with school teacher total score (3–12)8.1 (1.8)8.2 (1.8)[EMPTY_CELL]0.033
Recognition of dating violence signs total score (0–10)7.5 (2.5)7.4 (2.3) [EMPTY_CELL]0.199
Physical violence (0–4)3.4 (0.9)3.4 (0.8) [EMPTY_CELL]0.263
Psychological violence (0–5)3.4 (1.6)3.3 (1.5) [EMPTY_CELL]0.194
Sexual violence (0–1)0.8 (0.4)0.8 (0.4)[EMPTY_CELL]0.524
\", \"cells\": [{\"cell\": \"Measured variables (minimum–maximum)\", \"bbox\": [0, 5, 150, 15]}, {\"cell\": \"Boys\", \"bbox\": [260, 5, 279, 15]}, {\"cell\": \"Girls \", \"bbox\": [333, 5, 352, 15]}, {\"cell\": \"Boys versus girls\", \"bbox\": [409, 5, 470, 15]}, {\"cell\": \"(n = 1547)\", \"bbox\": [260, 22, 301, 31]}, {\"cell\": \"(n = 1503) \", \"bbox\": [333, 22, 374, 31]}, {\"cell\": \"(n = 3050)\", \"bbox\": [409, 22, 450, 31]}, {\"cell\": \"M (SD)\", \"bbox\": [260, 38, 288, 48]}, {\"cell\": \"M (SD) \", \"bbox\": [333, 38, 361, 48]}, {\"cell\": \"t\", \"bbox\": [409, 39, 413, 48]}, {\"cell\": \"p value\", \"bbox\": [466, 38, 494, 48]}, {\"cell\": \"Knowledge of dating violence total score (0–5)\", \"bbox\": [0, 57, 167, 67]}, {\"cell\": \"3.3 (1.6)\", \"bbox\": [264, 57, 296, 67]}, {\"cell\": \"3.9 (1.3)\", \"bbox\": [337, 57, 369, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [409, 57, 432, 67]}, {\"cell\": \"<0.001\", \"bbox\": [465, 57, 493, 67]}, {\"cell\": \"Self-esteem total score (10–40)\", \"bbox\": [0, 70, 111, 79]}, {\"cell\": \"25.9 (4.9)\", \"bbox\": [260, 70, 296, 79]}, {\"cell\": \"24.0 (5.3) \", \"bbox\": [333, 70, 369, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [419, 70, 432, 79]}, {\"cell\": \"<0.001\", \"bbox\": [465, 70, 493, 79]}, {\"cell\": \"Conservative attitudes toward sexual activities total score (3–12)\", \"bbox\": [0, 83, 228, 92]}, {\"cell\": \"9.1 (2.6)\", \"bbox\": [264, 83, 296, 92]}, {\"cell\": \"9.1 (2.4) \", \"bbox\": [337, 83, 369, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [419, 83, 432, 92]}, {\"cell\": \"0.992\", \"bbox\": [472, 83, 493, 92]}, {\"cell\": \"Attitudes toward equal dating relationship total score (3–12)\", \"bbox\": [0, 95, 212, 105]}, {\"cell\": \"10.3 (1.8)\", \"bbox\": [260, 95, 296, 105]}, {\"cell\": \"10.6 (1.7)\", \"bbox\": [333, 95, 369, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [413, 95, 432, 105]}, {\"cell\": \"<0.001\", \"bbox\": [465, 95, 493, 105]}, {\"cell\": \"Positive relationship with school teacher total score (3–12)\", \"bbox\": [1, 108, 207, 118]}, {\"cell\": \"8.1 (1.8)\", \"bbox\": [264, 108, 296, 118]}, {\"cell\": \"8.2 (1.8)\", \"bbox\": [337, 108, 369, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [413, 108, 432, 118]}, {\"cell\": \"0.033\", \"bbox\": [472, 108, 493, 118]}, {\"cell\": \"Recognition of dating violence signs total score (0–10)\", \"bbox\": [1, 121, 194, 130]}, {\"cell\": \"7.5 (2.5)\", \"bbox\": [264, 121, 296, 130]}, {\"cell\": \"7.4 (2.3) \", \"bbox\": [337, 121, 369, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [419, 121, 432, 130]}, {\"cell\": \"0.199\", \"bbox\": [472, 121, 493, 130]}, {\"cell\": \"Physical violence (0–4)\", \"bbox\": [1, 134, 84, 143]}, {\"cell\": \"3.4 (0.9)\", \"bbox\": [264, 134, 296, 143]}, {\"cell\": \"3.4 (0.8) \", \"bbox\": [337, 134, 369, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [419, 134, 432, 143]}, {\"cell\": \"0.263\", \"bbox\": [472, 134, 493, 143]}, {\"cell\": \"Psychological violence (0–5)\", \"bbox\": [1, 146, 103, 156]}, {\"cell\": \"3.4 (1.6)\", \"bbox\": [264, 146, 296, 156]}, {\"cell\": \"3.3 (1.5) \", \"bbox\": [337, 146, 369, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [419, 146, 432, 156]}, {\"cell\": \"0.194\", \"bbox\": [472, 146, 493, 156]}, {\"cell\": \"Sexual violence (0–1)\", \"bbox\": [1, 159, 78, 169]}, {\"cell\": \"0.8 (0.4)\", \"bbox\": [264, 159, 296, 169]}, {\"cell\": \"0.8 (0.4)\", \"bbox\": [337, 159, 369, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [413, 159, 432, 169]}, {\"cell\": \"0.524\", \"bbox\": [472, 159, 493, 169]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4693764_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
ItemLeading Industry19992005Change
[EMPTY_CELL]Mining areas4597.397307.4258.95%
[EMPTY_CELL]3119.2395619.4480.15%
[EMPTY_CELL]Mining areas--37.33--
[EMPTY_CELL]--47.88--
[EMPTY_CELL]Mining areas89.2097.608.40%
[EMPTY_CELL]92.5198.235.72%
[EMPTY_CELL]Mining areas69.1587.1017.95%
[EMPTY_CELL]76.9891.5314.55%
[EMPTY_CELL]Mining areas0.93550.93460.09%
[EMPTY_CELL]0.95150.9533 −0.19%
[EMPTY_CELL]Mining areas446.78----
[EMPTY_CELL]535.43----
[EMPTY_CELL]Mining areas--3.48--
[EMPTY_CELL]--3.25--
[EMPTY_CELL]Mining areas17.78----
[EMPTY_CELL]13.53----
\", \"cells\": [{\"cell\": \"Item\", \"bbox\": [63, 7, 85, 18]}, {\"cell\": \"Leading Industry\", \"bbox\": [157, 7, 234, 18]}, {\"cell\": \"1999\", \"bbox\": [268, 6, 292, 18]}, {\"cell\": \"2005\", \"bbox\": [337, 6, 361, 18]}, {\"cell\": \"Change\", \"bbox\": [399, 6, 437, 18]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [39, 29, 108, 41]}, {\"cell\": \"Mining areas\", \"bbox\": [166, 21, 225, 33]}, {\"cell\": \"4597.39\", \"bbox\": [261, 21, 299, 33]}, {\"cell\": \"7307.42\", \"bbox\": [330, 21, 368, 33]}, {\"cell\": \"58.95%\", \"bbox\": [400, 21, 436, 33]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 36, 228, 48]}, {\"cell\": \"3119.239\", \"bbox\": [259, 36, 302, 48]}, {\"cell\": \"5619.44\", \"bbox\": [330, 36, 368, 48]}, {\"cell\": \"80.15%\", \"bbox\": [400, 36, 436, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [33, 59, 114, 71]}, {\"cell\": \"Mining areas\", \"bbox\": [166, 52, 225, 64]}, {\"cell\": \"--\", \"bbox\": [275, 52, 285, 64]}, {\"cell\": \"37.33\", \"bbox\": [336, 52, 362, 64]}, {\"cell\": \"--\", \"bbox\": [413, 52, 423, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 67, 228, 79]}, {\"cell\": \"--\", \"bbox\": [275, 67, 285, 79]}, {\"cell\": \"47.88\", \"bbox\": [336, 67, 362, 79]}, {\"cell\": \"--\", \"bbox\": [413, 67, 423, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 82, 138, 109]}, {\"cell\": \"Mining areas\", \"bbox\": [166, 82, 225, 94]}, {\"cell\": \"89.20\", \"bbox\": [267, 82, 293, 94]}, {\"cell\": \"97.60\", \"bbox\": [336, 82, 362, 94]}, {\"cell\": \"8.40%\", \"bbox\": [403, 82, 433, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 97, 228, 109]}, {\"cell\": \"92.51\", \"bbox\": [267, 97, 294, 109]}, {\"cell\": \"98.23\", \"bbox\": [336, 97, 363, 109]}, {\"cell\": \"5.72%\", \"bbox\": [403, 97, 433, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 113, 138, 140]}, {\"cell\": \"Mining areas\", \"bbox\": [166, 113, 225, 125]}, {\"cell\": \"69.15\", \"bbox\": [267, 113, 293, 125]}, {\"cell\": \"87.10\", \"bbox\": [336, 113, 362, 125]}, {\"cell\": \"17.95%\", \"bbox\": [400, 113, 436, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 128, 228, 140]}, {\"cell\": \"76.98\", \"bbox\": [267, 128, 294, 140]}, {\"cell\": \"91.53\", \"bbox\": [336, 128, 363, 140]}, {\"cell\": \"14.55%\", \"bbox\": [400, 128, 436, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [45, 151, 102, 163]}, {\"cell\": \"Mining areas\", \"bbox\": [166, 143, 225, 155]}, {\"cell\": \"0.9355\", \"bbox\": [264, 143, 296, 155]}, {\"cell\": \"0.9346\", \"bbox\": [333, 143, 365, 155]}, {\"cell\": \"0.09%\", \"bbox\": [403, 143, 433, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 158, 228, 170]}, {\"cell\": \"0.9515\", \"bbox\": [264, 158, 296, 170]}, {\"cell\": \"0.9533 \", \"bbox\": [333, 158, 365, 170]}, {\"cell\": \"−0.19%\", \"bbox\": [400, 155, 436, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 181, 135, 193]}, {\"cell\": \"Mining areas\", \"bbox\": [166, 174, 225, 186]}, {\"cell\": \"446.78\", \"bbox\": [264, 174, 296, 186]}, {\"cell\": \"--\", \"bbox\": [344, 174, 354, 186]}, {\"cell\": \"--\", \"bbox\": [413, 174, 423, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 189, 228, 201]}, {\"cell\": \"535.43\", \"bbox\": [264, 189, 296, 201]}, {\"cell\": \"--\", \"bbox\": [344, 189, 354, 201]}, {\"cell\": \"--\", \"bbox\": [413, 189, 423, 201]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [16, 212, 131, 224]}, {\"cell\": \"Mining areas\", \"bbox\": [166, 204, 225, 216]}, {\"cell\": \"--\", \"bbox\": [275, 204, 285, 216]}, {\"cell\": \"3.48\", \"bbox\": [338, 204, 360, 216]}, {\"cell\": \"--\", \"bbox\": [413, 204, 423, 216]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 219, 228, 231]}, {\"cell\": \"--\", \"bbox\": [275, 219, 285, 231]}, {\"cell\": \"3.25\", \"bbox\": [339, 219, 360, 231]}, {\"cell\": \"--\", \"bbox\": [413, 219, 423, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [38, 242, 110, 254]}, {\"cell\": \"Mining areas\", \"bbox\": [166, 235, 225, 247]}, {\"cell\": \"17.78\", \"bbox\": [267, 235, 293, 247]}, {\"cell\": \"--\", \"bbox\": [344, 235, 354, 247]}, {\"cell\": \"--\", \"bbox\": [413, 235, 423, 247]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 250, 228, 262]}, {\"cell\": \"13.53\", \"bbox\": [267, 250, 293, 262]}, {\"cell\": \"--\", \"bbox\": [344, 250, 354, 262]}, {\"cell\": \"--\", \"bbox\": [413, 250, 423, 262]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4306902_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL][EMPTY_CELL]Outcomes
(Odds Ratio, 95% Confidence Interval)
Any response including watchful waitingAny response excluding watchful waiting
InterventionYear 10.020 (<0.01, 0.18)a[EMPTY_CELL]
Year 20.18 (0.016, 2.12)0.72 (0.18, 3.00)
Control[EMPTY_CELL]Reference[EMPTY_CELL]
Medium LPHAYear 10.38 (0.02, 7.33)[EMPTY_CELL]
Year 20.21 (0.01, 5.41)0.52 (0.08, 3.44)
Large LPHA[EMPTY_CELL]Reference[EMPTY_CELL]
Small LPHAYear 11.12 (0.01, 12.7)[EMPTY_CELL]
Year 22.49 (0.16, 39.1)0.47 (0.09, 2.43)
Large LPHA[EMPTY_CELL]Reference[EMPTY_CELL]
Sustained alertYear 11.87 (1.13,3.08)a[EMPTY_CELL]
Year 20.24 (0.16, 0.35)a0.92 (0.61, 1.39)
New alert[EMPTY_CELL]Reference[EMPTY_CELL]
Views syndromic surveillance as a primary data sourceYear 147.5 (4.2, 536)a[EMPTY_CELL]
Year 23.86 (0.28, 52.9)0.60 (0.12, 2.88)
Secondary[EMPTY_CELL]Reference[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Outcomes\", \"bbox\": [211, 4, 245, 13]}, {\"cell\": \"(Odds Ratio, 95% Confidence Interval)\", \"bbox\": [211, 13, 334, 22]}, {\"cell\": \"Any response including watchful waiting\", \"bbox\": [211, 26, 344, 36]}, {\"cell\": \"Any response excluding watchful waiting\", \"bbox\": [350, 26, 484, 36]}, {\"cell\": \"Intervention\", \"bbox\": [1, 39, 41, 49]}, {\"cell\": \"Year 1\", \"bbox\": [183, 39, 204, 49]}, {\"cell\": \"0.020 (<0.01, 0.18)a\", \"bbox\": [211, 38, 272, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [350, 39, 401, 49]}, {\"cell\": \"Year 2\", \"bbox\": [183, 53, 204, 63]}, {\"cell\": \"0.18 (0.016, 2.12)\", \"bbox\": [211, 53, 265, 63]}, {\"cell\": \"0.72 (0.18, 3.00)\", \"bbox\": [350, 53, 401, 63]}, {\"cell\": \"Control\", \"bbox\": [1, 67, 26, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Reference\", \"bbox\": [211, 67, 244, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [350, 67, 383, 77]}, {\"cell\": \"Medium LPHA\", \"bbox\": [1, 81, 49, 91]}, {\"cell\": \"Year 1\", \"bbox\": [183, 81, 204, 91]}, {\"cell\": \"0.38 (0.02, 7.33)\", \"bbox\": [211, 81, 261, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [350, 81, 401, 91]}, {\"cell\": \"Year 2\", \"bbox\": [183, 95, 204, 105]}, {\"cell\": \"0.21 (0.01, 5.41)\", \"bbox\": [211, 95, 261, 105]}, {\"cell\": \"0.52 (0.08, 3.44)\", \"bbox\": [350, 95, 401, 105]}, {\"cell\": \"Large LPHA\", \"bbox\": [1, 109, 40, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Reference\", \"bbox\": [211, 109, 244, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [350, 109, 383, 119]}, {\"cell\": \"Small LPHA\", \"bbox\": [1, 123, 39, 133]}, {\"cell\": \"Year 1\", \"bbox\": [183, 123, 204, 133]}, {\"cell\": \"1.12 (0.01, 12.7)\", \"bbox\": [211, 123, 261, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [350, 123, 401, 133]}, {\"cell\": \"Year 2\", \"bbox\": [183, 137, 204, 147]}, {\"cell\": \"2.49 (0.16, 39.1)\", \"bbox\": [211, 137, 261, 147]}, {\"cell\": \"0.47 (0.09, 2.43)\", \"bbox\": [350, 137, 401, 147]}, {\"cell\": \"Large LPHA\", \"bbox\": [1, 151, 40, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Reference\", \"bbox\": [211, 151, 244, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [350, 151, 383, 161]}, {\"cell\": \"Sustained alert\", \"bbox\": [1, 165, 49, 175]}, {\"cell\": \"Year 1\", \"bbox\": [183, 165, 204, 175]}, {\"cell\": \"1.87 (1.13,3.08)a\", \"bbox\": [211, 164, 261, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [350, 164, 403, 175]}, {\"cell\": \"Year 2\", \"bbox\": [183, 179, 204, 189]}, {\"cell\": \"0.24 (0.16, 0.35)a\", \"bbox\": [211, 178, 264, 189]}, {\"cell\": \"0.92 (0.61, 1.39)\", \"bbox\": [350, 179, 401, 189]}, {\"cell\": \"New alert\", \"bbox\": [1, 193, 33, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Reference\", \"bbox\": [211, 193, 244, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [350, 193, 383, 203]}, {\"cell\": \"Views syndromic surveillance as a primary data source\", \"bbox\": [1, 207, 176, 217]}, {\"cell\": \"Year 1\", \"bbox\": [183, 207, 204, 217]}, {\"cell\": \"47.5 (4.2, 536)a\", \"bbox\": [211, 206, 259, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [350, 207, 401, 217]}, {\"cell\": \"Year 2\", \"bbox\": [183, 221, 204, 231]}, {\"cell\": \"3.86 (0.28, 52.9)\", \"bbox\": [211, 221, 261, 231]}, {\"cell\": \"0.60 (0.12, 2.88)\", \"bbox\": [350, 221, 401, 231]}, {\"cell\": \"Secondary\", \"bbox\": [1, 235, 36, 245]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Reference\", \"bbox\": [211, 235, 244, 245]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [350, 235, 383, 245]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5311860_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Time intervalsClinical examinations
At baseline[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]
First and second month follow-up visit[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]
On completion of treatment (third month)[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Time intervals\", \"bbox\": [1, 8, 49, 18]}, {\"cell\": \"Clinical examinations\", \"bbox\": [129, 8, 200, 18]}, {\"cell\": \"At baseline\", \"bbox\": [1, 28, 39, 37]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [96, 28, 210, 37]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [96, 40, 227, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [96, 64, 233, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [96, 76, 229, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [96, 88, 140, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [96, 100, 168, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [96, 111, 185, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [96, 123, 154, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [96, 135, 148, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [96, 147, 169, 157]}, {\"cell\": \"First and second month follow-up visit\", \"bbox\": [1, 159, 80, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [96, 159, 224, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [96, 183, 230, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [96, 195, 168, 205]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [96, 207, 185, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [96, 219, 148, 228]}, {\"cell\": \"On completion of treatment (third month)\", \"bbox\": [1, 231, 90, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [96, 231, 121, 240]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [96, 255, 224, 276]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [96, 279, 230, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [96, 291, 140, 300]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [96, 303, 168, 312]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [96, 315, 185, 324]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [96, 327, 154, 336]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [96, 339, 148, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [96, 351, 169, 360]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5061863_002_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
AuthorsPSS/PTDS ScalesIES Total scoreIES IntrusionIES Avoidance BDI
Foa et al. (1993) [8][EMPTY_CELL][EMPTY_CELL].81.53.80
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL].81.47.66
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL].71.52.73
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL].70.45.75
Stieglitz et al. (2001) [9][EMPTY_CELL][EMPTY_CELL].67 & .65.61 & .57.61 only at first measurement (a few days after the accident)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL].63 & .59.53 & .47.45
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL].56 & .55.50 & .51.50
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL].52 & .49.47 & .45.60
Foa et al. (1997) [3][EMPTY_CELL].78.80.66.79
[EMPTY_CELL][EMPTY_CELL].68.77.51.67
[EMPTY_CELL][EMPTY_CELL].75.72.69.77
[EMPTY_CELL][EMPTY_CELL].70.74.58.73
\", \"cells\": [{\"cell\": \"Authors\", \"bbox\": [4, 5, 38, 14]}, {\"cell\": \"PSS/PTDS Scales\", \"bbox\": [129, 5, 197, 14]}, {\"cell\": \"IES Total score\", \"bbox\": [233, 5, 271, 23]}, {\"cell\": \"IES Intrusion\", \"bbox\": [290, 5, 327, 23]}, {\"cell\": \"IES Avoidance \", \"bbox\": [340, 5, 382, 23]}, {\"cell\": \"BDI\", \"bbox\": [436, 5, 453, 14]}, {\"cell\": \"Foa et al. (1993) [8]\", \"bbox\": [4, 36, 83, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [128, 36, 183, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".81\", \"bbox\": [302, 36, 314, 46]}, {\"cell\": \".53\", \"bbox\": [355, 36, 367, 46]}, {\"cell\": \".80\", \"bbox\": [439, 36, 451, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [128, 46, 182, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".81\", \"bbox\": [302, 46, 314, 56]}, {\"cell\": \".47\", \"bbox\": [355, 46, 367, 56]}, {\"cell\": \".66\", \"bbox\": [439, 46, 451, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [128, 56, 165, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".71\", \"bbox\": [302, 56, 314, 66]}, {\"cell\": \".52\", \"bbox\": [355, 56, 367, 66]}, {\"cell\": \".73\", \"bbox\": [439, 56, 451, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [128, 67, 175, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".70\", \"bbox\": [302, 67, 314, 76]}, {\"cell\": \".45\", \"bbox\": [355, 67, 367, 76]}, {\"cell\": \".75\", \"bbox\": [439, 67, 451, 76]}, {\"cell\": \"Stieglitz et al. (2001) [9]\", \"bbox\": [4, 77, 100, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [128, 77, 183, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".67 & .65\", \"bbox\": [292, 77, 324, 87]}, {\"cell\": \".61 & .57\", \"bbox\": [345, 77, 377, 87]}, {\"cell\": \".61 only at first measurement (a few days after the accident)\", \"bbox\": [393, 77, 496, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [128, 96, 182, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".63 & .59\", \"bbox\": [292, 96, 324, 106]}, {\"cell\": \".53 & .47\", \"bbox\": [345, 96, 377, 106]}, {\"cell\": \".45\", \"bbox\": [439, 96, 451, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [128, 107, 165, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".56 & .55\", \"bbox\": [292, 107, 324, 116]}, {\"cell\": \".50 & .51\", \"bbox\": [345, 107, 377, 116]}, {\"cell\": \".50\", \"bbox\": [439, 107, 451, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [128, 117, 175, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".52 & .49\", \"bbox\": [292, 117, 324, 127]}, {\"cell\": \".47 & .45\", \"bbox\": [345, 117, 377, 127]}, {\"cell\": \".60\", \"bbox\": [439, 117, 451, 127]}, {\"cell\": \"Foa et al. (1997) [3]\", \"bbox\": [4, 127, 83, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [128, 127, 169, 137]}, {\"cell\": \".78\", \"bbox\": [246, 127, 258, 137]}, {\"cell\": \".80\", \"bbox\": [302, 127, 314, 137]}, {\"cell\": \".66\", \"bbox\": [355, 127, 367, 137]}, {\"cell\": \".79\", \"bbox\": [438, 127, 450, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [128, 137, 182, 147]}, {\"cell\": \".68\", \"bbox\": [246, 137, 258, 147]}, {\"cell\": \".77\", \"bbox\": [302, 137, 314, 147]}, {\"cell\": \".51\", \"bbox\": [355, 137, 367, 147]}, {\"cell\": \".67\", \"bbox\": [439, 137, 451, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [128, 148, 165, 157]}, {\"cell\": \".75\", \"bbox\": [246, 148, 258, 157]}, {\"cell\": \".72\", \"bbox\": [302, 148, 314, 157]}, {\"cell\": \".69\", \"bbox\": [355, 148, 367, 157]}, {\"cell\": \".77\", \"bbox\": [438, 148, 450, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [128, 158, 175, 168]}, {\"cell\": \".70\", \"bbox\": [246, 158, 258, 168]}, {\"cell\": \".74\", \"bbox\": [302, 158, 314, 168]}, {\"cell\": \".58\", \"bbox\": [355, 158, 367, 168]}, {\"cell\": \".73\", \"bbox\": [439, 158, 451, 168]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC554114_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Number of markersGenetic sizes (cM)Chromosome size (Mb)a
Female (Z180)Male (Beihong)Integrated mapFemale (Z180)Male (Beihong)Integrated map
[EMPTY_CELL]633085118.080.1112.223.6
[EMPTY_CELL]463168101.179.5108.918.7
[EMPTY_CELL]55407880.079.089.020.5
[EMPTY_CELL]71359494.183.793.723.9
[EMPTY_CELL]713293133.2100.5108.825.4
[EMPTY_CELL]62388890.493.9107.621.5
[EMPTY_CELL]8758133113.7122.8116.522.4
[EMPTY_CELL]7953117103.392.6109.522.4
[EMPTY_CELL]51307085.6100.194.423
[EMPTY_CELL]664298108.9112.4114.618.8
[EMPTY_CELL]28234492.276.379.220.0
[EMPTY_CELL]644994103.397.5108.124.2
[EMPTY_CELL]8353115120.491.1118.527.4
[EMPTY_CELL]533980107.581.592.130.3
[EMPTY_CELL]15223457.485.565.120.3
[EMPTY_CELL]28274783.187.287.322.8
[EMPTY_CELL]50538791.876.988.817.9
[EMPTY_CELL]9574148104.8111.8108.534.4
[EMPTY_CELL]54307395.588.3114.524.02
[EMPTY_CELL]112175916461884.31740.51917.3441.6
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Number of markers\", \"bbox\": [92, 4, 162, 13]}, {\"cell\": \"Genetic sizes (cM)\", \"bbox\": [295, 4, 359, 13]}, {\"cell\": \"Chromosome size (Mb)a\", \"bbox\": [434, 4, 482, 22]}, {\"cell\": \"Female (Z180)\", \"bbox\": [33, 17, 84, 26]}, {\"cell\": \"Male (Beihong)\", \"bbox\": [97, 17, 151, 26]}, {\"cell\": \"Integrated map\", \"bbox\": [165, 17, 220, 26]}, {\"cell\": \"Female (Z180)\", \"bbox\": [233, 17, 285, 26]}, {\"cell\": \"Male (Beihong)\", \"bbox\": [298, 17, 352, 26]}, {\"cell\": \"Integrated map\", \"bbox\": [365, 17, 421, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 30, 20, 40]}, {\"cell\": \"63\", \"bbox\": [54, 31, 64, 38]}, {\"cell\": \"30\", \"bbox\": [120, 31, 129, 38]}, {\"cell\": \"85\", \"bbox\": [188, 31, 197, 38]}, {\"cell\": \"118.0\", \"bbox\": [250, 31, 268, 38]}, {\"cell\": \"80.1\", \"bbox\": [317, 31, 332, 38]}, {\"cell\": \"112.2\", \"bbox\": [383, 31, 402, 38]}, {\"cell\": \"23.6\", \"bbox\": [452, 31, 466, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 44, 20, 54]}, {\"cell\": \"46\", \"bbox\": [54, 45, 64, 52]}, {\"cell\": \"31\", \"bbox\": [120, 45, 129, 52]}, {\"cell\": \"68\", \"bbox\": [188, 45, 197, 52]}, {\"cell\": \"101.1\", \"bbox\": [250, 45, 268, 52]}, {\"cell\": \"79.5\", \"bbox\": [317, 45, 332, 52]}, {\"cell\": \"108.9\", \"bbox\": [383, 45, 402, 52]}, {\"cell\": \"18.7\", \"bbox\": [452, 45, 466, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 58, 20, 68]}, {\"cell\": \"55\", \"bbox\": [54, 59, 64, 66]}, {\"cell\": \"40\", \"bbox\": [120, 59, 129, 66]}, {\"cell\": \"78\", \"bbox\": [188, 59, 197, 66]}, {\"cell\": \"80.0\", \"bbox\": [252, 59, 266, 66]}, {\"cell\": \"79.0\", \"bbox\": [317, 59, 332, 66]}, {\"cell\": \"89.0\", \"bbox\": [385, 59, 400, 66]}, {\"cell\": \"20.5\", \"bbox\": [452, 59, 466, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 72, 20, 82]}, {\"cell\": \"71\", \"bbox\": [54, 73, 64, 80]}, {\"cell\": \"35\", \"bbox\": [120, 73, 129, 80]}, {\"cell\": \"94\", \"bbox\": [188, 73, 197, 80]}, {\"cell\": \"94.1\", \"bbox\": [252, 73, 266, 80]}, {\"cell\": \"83.7\", \"bbox\": [317, 73, 332, 80]}, {\"cell\": \"93.7\", \"bbox\": [385, 73, 400, 80]}, {\"cell\": \"23.9\", \"bbox\": [452, 73, 466, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 86, 20, 96]}, {\"cell\": \"71\", \"bbox\": [54, 87, 64, 94]}, {\"cell\": \"32\", \"bbox\": [120, 87, 129, 94]}, {\"cell\": \"93\", \"bbox\": [188, 87, 197, 94]}, {\"cell\": \"133.2\", \"bbox\": [250, 87, 268, 94]}, {\"cell\": \"100.5\", \"bbox\": [315, 87, 334, 94]}, {\"cell\": \"108.8\", \"bbox\": [383, 87, 402, 94]}, {\"cell\": \"25.4\", \"bbox\": [452, 87, 466, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 100, 20, 110]}, {\"cell\": \"62\", \"bbox\": [54, 101, 64, 108]}, {\"cell\": \"38\", \"bbox\": [120, 101, 129, 108]}, {\"cell\": \"88\", \"bbox\": [188, 101, 197, 108]}, {\"cell\": \"90.4\", \"bbox\": [252, 101, 266, 108]}, {\"cell\": \"93.9\", \"bbox\": [317, 101, 332, 108]}, {\"cell\": \"107.6\", \"bbox\": [383, 101, 402, 108]}, {\"cell\": \"21.5\", \"bbox\": [452, 101, 466, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 114, 20, 124]}, {\"cell\": \"87\", \"bbox\": [54, 115, 64, 122]}, {\"cell\": \"58\", \"bbox\": [120, 115, 129, 122]}, {\"cell\": \"133\", \"bbox\": [186, 115, 199, 122]}, {\"cell\": \"113.7\", \"bbox\": [250, 115, 268, 122]}, {\"cell\": \"122.8\", \"bbox\": [315, 115, 334, 122]}, {\"cell\": \"116.5\", \"bbox\": [383, 115, 402, 122]}, {\"cell\": \"22.4\", \"bbox\": [452, 115, 466, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 128, 20, 138]}, {\"cell\": \"79\", \"bbox\": [54, 129, 64, 136]}, {\"cell\": \"53\", \"bbox\": [120, 129, 129, 136]}, {\"cell\": \"117\", \"bbox\": [186, 129, 199, 136]}, {\"cell\": \"103.3\", \"bbox\": [250, 129, 268, 136]}, {\"cell\": \"92.6\", \"bbox\": [317, 129, 332, 136]}, {\"cell\": \"109.5\", \"bbox\": [383, 129, 402, 136]}, {\"cell\": \"22.4\", \"bbox\": [452, 129, 466, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 142, 20, 152]}, {\"cell\": \"51\", \"bbox\": [54, 143, 64, 150]}, {\"cell\": \"30\", \"bbox\": [120, 143, 129, 150]}, {\"cell\": \"70\", \"bbox\": [188, 143, 197, 150]}, {\"cell\": \"85.6\", \"bbox\": [252, 143, 266, 150]}, {\"cell\": \"100.1\", \"bbox\": [315, 143, 334, 150]}, {\"cell\": \"94.4\", \"bbox\": [385, 143, 400, 150]}, {\"cell\": \"23\", \"bbox\": [454, 143, 464, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 156, 20, 166]}, {\"cell\": \"66\", \"bbox\": [54, 157, 64, 164]}, {\"cell\": \"42\", \"bbox\": [120, 157, 129, 164]}, {\"cell\": \"98\", \"bbox\": [188, 157, 197, 164]}, {\"cell\": \"108.9\", \"bbox\": [250, 157, 268, 164]}, {\"cell\": \"112.4\", \"bbox\": [315, 157, 334, 164]}, {\"cell\": \"114.6\", \"bbox\": [383, 157, 402, 164]}, {\"cell\": \"18.8\", \"bbox\": [452, 157, 466, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 170, 20, 180]}, {\"cell\": \"28\", \"bbox\": [54, 171, 64, 178]}, {\"cell\": \"23\", \"bbox\": [120, 171, 129, 178]}, {\"cell\": \"44\", \"bbox\": [188, 171, 197, 178]}, {\"cell\": \"92.2\", \"bbox\": [252, 171, 266, 178]}, {\"cell\": \"76.3\", \"bbox\": [317, 171, 332, 178]}, {\"cell\": \"79.2\", \"bbox\": [385, 171, 400, 178]}, {\"cell\": \"20.0\", \"bbox\": [452, 171, 466, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 184, 20, 194]}, {\"cell\": \"64\", \"bbox\": [54, 185, 64, 192]}, {\"cell\": \"49\", \"bbox\": [120, 185, 129, 192]}, {\"cell\": \"94\", \"bbox\": [188, 185, 197, 192]}, {\"cell\": \"103.3\", \"bbox\": [250, 185, 268, 192]}, {\"cell\": \"97.5\", \"bbox\": [317, 185, 332, 192]}, {\"cell\": \"108.1\", \"bbox\": [383, 185, 402, 192]}, {\"cell\": \"24.2\", \"bbox\": [452, 185, 466, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 198, 20, 208]}, {\"cell\": \"83\", \"bbox\": [54, 199, 64, 206]}, {\"cell\": \"53\", \"bbox\": [120, 199, 129, 206]}, {\"cell\": \"115\", \"bbox\": [186, 199, 199, 206]}, {\"cell\": \"120.4\", \"bbox\": [250, 199, 268, 206]}, {\"cell\": \"91.1\", \"bbox\": [317, 199, 332, 206]}, {\"cell\": \"118.5\", \"bbox\": [383, 199, 402, 206]}, {\"cell\": \"27.4\", \"bbox\": [452, 199, 466, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 212, 20, 222]}, {\"cell\": \"53\", \"bbox\": [54, 213, 64, 220]}, {\"cell\": \"39\", \"bbox\": [120, 213, 129, 220]}, {\"cell\": \"80\", \"bbox\": [188, 213, 197, 220]}, {\"cell\": \"107.5\", \"bbox\": [250, 213, 268, 220]}, {\"cell\": \"81.5\", \"bbox\": [317, 213, 332, 220]}, {\"cell\": \"92.1\", \"bbox\": [385, 213, 400, 220]}, {\"cell\": \"30.3\", \"bbox\": [452, 213, 466, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 226, 20, 236]}, {\"cell\": \"15\", \"bbox\": [54, 227, 64, 234]}, {\"cell\": \"22\", \"bbox\": [120, 227, 129, 234]}, {\"cell\": \"34\", \"bbox\": [188, 227, 197, 234]}, {\"cell\": \"57.4\", \"bbox\": [252, 227, 266, 234]}, {\"cell\": \"85.5\", \"bbox\": [317, 227, 332, 234]}, {\"cell\": \"65.1\", \"bbox\": [385, 227, 400, 234]}, {\"cell\": \"20.3\", \"bbox\": [452, 227, 466, 234]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 240, 20, 250]}, {\"cell\": \"28\", \"bbox\": [54, 241, 64, 248]}, {\"cell\": \"27\", \"bbox\": [120, 241, 129, 248]}, {\"cell\": \"47\", \"bbox\": [188, 241, 197, 248]}, {\"cell\": \"83.1\", \"bbox\": [252, 241, 266, 248]}, {\"cell\": \"87.2\", \"bbox\": [317, 241, 332, 248]}, {\"cell\": \"87.3\", \"bbox\": [385, 241, 400, 248]}, {\"cell\": \"22.8\", \"bbox\": [452, 241, 466, 248]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 254, 20, 264]}, {\"cell\": \"50\", \"bbox\": [54, 255, 64, 262]}, {\"cell\": \"53\", \"bbox\": [120, 255, 129, 262]}, {\"cell\": \"87\", \"bbox\": [188, 255, 197, 262]}, {\"cell\": \"91.8\", \"bbox\": [252, 255, 266, 262]}, {\"cell\": \"76.9\", \"bbox\": [317, 255, 332, 262]}, {\"cell\": \"88.8\", \"bbox\": [385, 255, 400, 262]}, {\"cell\": \"17.9\", \"bbox\": [452, 255, 466, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 268, 20, 278]}, {\"cell\": \"95\", \"bbox\": [54, 269, 64, 276]}, {\"cell\": \"74\", \"bbox\": [120, 269, 129, 276]}, {\"cell\": \"148\", \"bbox\": [186, 269, 199, 276]}, {\"cell\": \"104.8\", \"bbox\": [250, 269, 268, 276]}, {\"cell\": \"111.8\", \"bbox\": [315, 269, 334, 276]}, {\"cell\": \"108.5\", \"bbox\": [383, 269, 402, 276]}, {\"cell\": \"34.4\", \"bbox\": [452, 269, 466, 276]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 282, 20, 292]}, {\"cell\": \"54\", \"bbox\": [54, 283, 64, 290]}, {\"cell\": \"30\", \"bbox\": [120, 283, 129, 290]}, {\"cell\": \"73\", \"bbox\": [188, 283, 197, 290]}, {\"cell\": \"95.5\", \"bbox\": [252, 283, 266, 290]}, {\"cell\": \"88.3\", \"bbox\": [317, 283, 332, 290]}, {\"cell\": \"114.5\", \"bbox\": [383, 283, 402, 290]}, {\"cell\": \"24.02\", \"bbox\": [450, 283, 468, 290]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 296, 20, 306]}, {\"cell\": \"1121\", \"bbox\": [50, 297, 67, 304]}, {\"cell\": \"759\", \"bbox\": [118, 297, 131, 304]}, {\"cell\": \"1646\", \"bbox\": [184, 297, 201, 304]}, {\"cell\": \"1884.3\", \"bbox\": [248, 297, 270, 304]}, {\"cell\": \"1740.5\", \"bbox\": [313, 297, 336, 304]}, {\"cell\": \"1917.3\", \"bbox\": [382, 297, 404, 304]}, {\"cell\": \"441.6\", \"bbox\": [450, 297, 468, 304]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3528476_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
ValuesMethod1st versus 2nd measurement1st versus 3rd measurement2nd versus 3rd measurement
tp valuetp valuetp value
MCL (dB HL)LS[EMPTY_CELL]0.153−1.5100.148−0.2610.797
LA−0.469[EMPTY_CELL]1.0700.2981.8890.074
ES−0.553[EMPTY_CELL]−1.5940.127−1.7300.100
EA−0.469[EMPTY_CELL]1.0700.2981.8890.074
BNL (dB HL)LS[EMPTY_CELL]0.122−2.2360.038∗−1.9170.070
LA−0.592[EMPTY_CELL]−1.2910.212−1.3010.209
ES−0.785[EMPTY_CELL]−1.7240.101−1.8750.076
EA−1.453[EMPTY_CELL]0.0001.0001.7590.095
ANL (dB)LS[EMPTY_CELL]0.4492.6980.014∗1.4370.167
LA1.045[EMPTY_CELL]1.5060.1480.8250.419
ES0.815[EMPTY_CELL]0.9410.3580.3350.741
EA2.604[EMPTY_CELL]2.5170.021∗−0.2520.804
\", \"cells\": [{\"cell\": \"Values\", \"bbox\": [2, 15, 29, 24]}, {\"cell\": \"Method\", \"bbox\": [92, 15, 122, 24]}, {\"cell\": \"1st versus 2nd measurement\", \"bbox\": [177, 4, 230, 24]}, {\"cell\": \"1st versus 3rd measurement\", \"bbox\": [303, 4, 355, 24]}, {\"cell\": \"2nd versus 3rd measurement\", \"bbox\": [428, 4, 483, 24]}, {\"cell\": \"t\", \"bbox\": [169, 26, 174, 36]}, {\"cell\": \"p value\", \"bbox\": [221, 25, 248, 36]}, {\"cell\": \"t\", \"bbox\": [295, 26, 300, 36]}, {\"cell\": \"p value\", \"bbox\": [347, 25, 374, 36]}, {\"cell\": \"t\", \"bbox\": [421, 26, 426, 36]}, {\"cell\": \"p value\", \"bbox\": [473, 25, 501, 36]}, {\"cell\": \"MCL (dB HL)\", \"bbox\": [2, 58, 56, 68]}, {\"cell\": \"LS\", \"bbox\": [102, 39, 113, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 39, 185, 49]}, {\"cell\": \"0.153\", \"bbox\": [224, 39, 245, 49]}, {\"cell\": \"−1.510\", \"bbox\": [284, 39, 311, 49]}, {\"cell\": \"0.148\", \"bbox\": [350, 39, 371, 49]}, {\"cell\": \"−0.261\", \"bbox\": [411, 39, 437, 49]}, {\"cell\": \"0.797\", \"bbox\": [476, 39, 497, 49]}, {\"cell\": \"LA\", \"bbox\": [101, 52, 113, 62]}, {\"cell\": \"−0.469\", \"bbox\": [158, 52, 185, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 52, 245, 62]}, {\"cell\": \"1.070\", \"bbox\": [287, 52, 308, 62]}, {\"cell\": \"0.298\", \"bbox\": [350, 52, 371, 62]}, {\"cell\": \"1.889\", \"bbox\": [413, 52, 434, 62]}, {\"cell\": \"0.074\", \"bbox\": [476, 52, 497, 62]}, {\"cell\": \"ES\", \"bbox\": [101, 65, 113, 75]}, {\"cell\": \"−0.553\", \"bbox\": [158, 65, 185, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 65, 245, 75]}, {\"cell\": \"−1.594\", \"bbox\": [284, 65, 311, 75]}, {\"cell\": \"0.127\", \"bbox\": [350, 65, 371, 75]}, {\"cell\": \"−1.730\", \"bbox\": [411, 65, 437, 75]}, {\"cell\": \"0.100\", \"bbox\": [476, 65, 497, 75]}, {\"cell\": \"EA\", \"bbox\": [100, 78, 114, 88]}, {\"cell\": \"−0.469\", \"bbox\": [158, 78, 185, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 78, 245, 88]}, {\"cell\": \"1.070\", \"bbox\": [287, 78, 308, 88]}, {\"cell\": \"0.298\", \"bbox\": [350, 78, 371, 88]}, {\"cell\": \"1.889\", \"bbox\": [413, 78, 434, 88]}, {\"cell\": \"0.074\", \"bbox\": [476, 78, 497, 88]}, {\"cell\": \"BNL (dB HL)\", \"bbox\": [3, 112, 54, 122]}, {\"cell\": \"LS\", \"bbox\": [102, 93, 113, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 93, 185, 103]}, {\"cell\": \"0.122\", \"bbox\": [224, 93, 245, 103]}, {\"cell\": \"−2.236\", \"bbox\": [284, 93, 311, 103]}, {\"cell\": \"0.038∗\", \"bbox\": [348, 92, 373, 102]}, {\"cell\": \"−1.917\", \"bbox\": [411, 93, 437, 103]}, {\"cell\": \"0.070\", \"bbox\": [476, 93, 497, 103]}, {\"cell\": \"LA\", \"bbox\": [100, 107, 113, 116]}, {\"cell\": \"−0.592\", \"bbox\": [158, 107, 185, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 107, 245, 116]}, {\"cell\": \"−1.291\", \"bbox\": [284, 107, 311, 116]}, {\"cell\": \"0.212\", \"bbox\": [350, 107, 371, 116]}, {\"cell\": \"−1.301\", \"bbox\": [411, 107, 437, 116]}, {\"cell\": \"0.209\", \"bbox\": [476, 107, 497, 116]}, {\"cell\": \"ES\", \"bbox\": [101, 119, 113, 129]}, {\"cell\": \"−0.785\", \"bbox\": [158, 119, 185, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 119, 245, 129]}, {\"cell\": \"−1.724\", \"bbox\": [284, 119, 311, 129]}, {\"cell\": \"0.101\", \"bbox\": [350, 119, 371, 129]}, {\"cell\": \"−1.875\", \"bbox\": [411, 119, 437, 129]}, {\"cell\": \"0.076\", \"bbox\": [476, 119, 497, 129]}, {\"cell\": \"EA\", \"bbox\": [100, 132, 114, 142]}, {\"cell\": \"−1.453\", \"bbox\": [158, 132, 185, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 132, 245, 142]}, {\"cell\": \"0.000\", \"bbox\": [287, 132, 308, 142]}, {\"cell\": \"1.000\", \"bbox\": [350, 132, 371, 142]}, {\"cell\": \"1.759\", \"bbox\": [413, 132, 434, 142]}, {\"cell\": \"0.095\", \"bbox\": [476, 132, 497, 142]}, {\"cell\": \"ANL (dB)\", \"bbox\": [2, 167, 41, 177]}, {\"cell\": \"LS\", \"bbox\": [102, 147, 113, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [161, 147, 182, 157]}, {\"cell\": \"0.449\", \"bbox\": [224, 147, 245, 157]}, {\"cell\": \"2.698\", \"bbox\": [287, 147, 308, 157]}, {\"cell\": \"0.014∗\", \"bbox\": [348, 146, 373, 156]}, {\"cell\": \"1.437\", \"bbox\": [413, 147, 434, 157]}, {\"cell\": \"0.167\", \"bbox\": [476, 147, 497, 157]}, {\"cell\": \"LA\", \"bbox\": [101, 161, 113, 171]}, {\"cell\": \"1.045\", \"bbox\": [161, 161, 182, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 161, 245, 171]}, {\"cell\": \"1.506\", \"bbox\": [287, 161, 308, 171]}, {\"cell\": \"0.148\", \"bbox\": [350, 161, 371, 171]}, {\"cell\": \"0.825\", \"bbox\": [413, 161, 434, 171]}, {\"cell\": \"0.419\", \"bbox\": [476, 161, 497, 171]}, {\"cell\": \"ES\", \"bbox\": [101, 174, 113, 184]}, {\"cell\": \"0.815\", \"bbox\": [161, 174, 182, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 174, 245, 184]}, {\"cell\": \"0.941\", \"bbox\": [287, 174, 308, 184]}, {\"cell\": \"0.358\", \"bbox\": [350, 174, 371, 184]}, {\"cell\": \"0.335\", \"bbox\": [413, 174, 434, 184]}, {\"cell\": \"0.741\", \"bbox\": [476, 174, 497, 184]}, {\"cell\": \"EA\", \"bbox\": [100, 188, 114, 198]}, {\"cell\": \"2.604\", \"bbox\": [161, 188, 182, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [222, 187, 247, 197]}, {\"cell\": \"2.517\", \"bbox\": [287, 188, 308, 198]}, {\"cell\": \"0.021∗\", \"bbox\": [348, 187, 373, 197]}, {\"cell\": \"−0.252\", \"bbox\": [411, 188, 437, 198]}, {\"cell\": \"0.804\", \"bbox\": [476, 188, 497, 198]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC6038590_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]All patients 25-(OH)D < 50 nmol/L 25-(OH)D ≥ 50 nmol/L P value
Number of patients[EMPTY_CELL]1097311[EMPTY_CELL]
Gender (male/female)[EMPTY_CELL]59.6%/40.4% 65.9%/34.1% 0.09
Age (years)[EMPTY_CELL]57.5 ± 12.957.0 ± 12.50.63
Duration of DM (years)[EMPTY_CELL]9.4 ± 7.810.1 ± 7.40.29
BMI (kg/m2)[EMPTY_CELL]25.38 ± 3.8025.27 ± 3.440.72
Waist (cm) [EMPTY_CELL]92.1 ± 11.690.9 ± 13.60.24
SBP (mmHg)[EMPTY_CELL]131.1 ± 17.4132.3 ± 15.20.59
DBP (mmHg)[EMPTY_CELL]78.7 ± 11.480.2 ± 10.480.13
25-(OH)D (nmol/L) [EMPTY_CELL]32.41 ± 8.0260.22 ± 11.200.00
HbA1c (%)[EMPTY_CELL]9.03 ± 2.108.55 ± 2.050.01
Fasting glucose (mmol/L)[EMPTY_CELL]8.17 ± 2.837.70 ± 2.800.01
Fasting insulin (uU/mL) [EMPTY_CELL]14.98 ± 19.1712.90 ± 17.660.27
HOMA-B[EMPTY_CELL]124.68 ± 454.991.91 ± 168.30.41
HOMA-IR[EMPTY_CELL]5.41 ± 7.904.63 ± 5.750.30
Postprandial insulin (uU/mL)[EMPTY_CELL]62.24 ± 112.764.46 ± 152.10.85
UA (umol/L)[EMPTY_CELL]312.2 ± 89.6329.8 ± 92.00.02
CRE (umol/L)[EMPTY_CELL]62.09 ± 37.4361.34 ± 18.180.79
CHO (mmol/L)[EMPTY_CELL]4.76 ± 1.194.59 ± 1.110.12
TG (mmol/L)[EMPTY_CELL]1.96 ± 1.701.65 ± 1.010.02
HDL-C (mmol/L)[EMPTY_CELL]1.06 ± 0.411.08 ± 0.320.42
LDL-C (mmol/L)[EMPTY_CELL]2.70 ± 0.822.68 ± 0.880.75
hsCRP (mg/L) [EMPTY_CELL]3.1 ± 3.02.5 ± 3.40.09
Urine ALB (mg/g) [EMPTY_CELL]90.1 ± 305.352.8 ± 243.00.04
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"All patients \", \"bbox\": [148, 4, 191, 15]}, {\"cell\": \"25-(OH)D < 50 nmol/L \", \"bbox\": [232, 1, 318, 16]}, {\"cell\": \"25-(OH)D ≥ 50 nmol/L \", \"bbox\": [351, 1, 437, 16]}, {\"cell\": \"P value\", \"bbox\": [470, 1, 499, 16]}, {\"cell\": \"Number of patients\", \"bbox\": [2, 17, 74, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [161, 17, 179, 27]}, {\"cell\": \"1097\", \"bbox\": [266, 17, 284, 27]}, {\"cell\": \"311\", \"bbox\": [388, 17, 400, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Gender (male/female)\", \"bbox\": [2, 29, 84, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [146, 29, 193, 40]}, {\"cell\": \"59.6%/40.4% \", \"bbox\": [251, 29, 299, 40]}, {\"cell\": \"65.9%/34.1% \", \"bbox\": [371, 29, 418, 40]}, {\"cell\": \"0.09 \", \"bbox\": [476, 29, 493, 40]}, {\"cell\": \"Age (years)\", \"bbox\": [2, 42, 45, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [147, 38, 192, 54]}, {\"cell\": \"57.5 ± 12.9\", \"bbox\": [254, 38, 296, 54]}, {\"cell\": \"57.0 ± 12.5\", \"bbox\": [374, 38, 415, 54]}, {\"cell\": \"0.63 \", \"bbox\": [476, 42, 493, 52]}, {\"cell\": \"Duration of DM (years)\", \"bbox\": [2, 54, 90, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 51, 186, 66]}, {\"cell\": \"9.4 ± 7.8\", \"bbox\": [259, 51, 291, 66]}, {\"cell\": \"10.1 ± 7.4\", \"bbox\": [376, 51, 413, 66]}, {\"cell\": \"0.29 \", \"bbox\": [476, 54, 493, 65]}, {\"cell\": \"BMI (kg/m2)\", \"bbox\": [2, 65, 51, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [147, 63, 192, 79]}, {\"cell\": \"25.38 ± 3.80\", \"bbox\": [252, 63, 298, 79]}, {\"cell\": \"25.27 ± 3.44\", \"bbox\": [371, 63, 417, 79]}, {\"cell\": \"0.72 \", \"bbox\": [476, 67, 493, 77]}, {\"cell\": \"Waist (cm) \", \"bbox\": [2, 79, 44, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [149, 76, 190, 91]}, {\"cell\": \"92.1 ± 11.6\", \"bbox\": [254, 76, 296, 91]}, {\"cell\": \"90.9 ± 13.6\", \"bbox\": [374, 76, 415, 91]}, {\"cell\": \"0.24 \", \"bbox\": [476, 79, 493, 90]}, {\"cell\": \"SBP (mmHg)\", \"bbox\": [2, 91, 53, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [147, 88, 192, 104]}, {\"cell\": \"131.1 ± 17.4\", \"bbox\": [252, 88, 298, 104]}, {\"cell\": \"132.3 ± 15.2\", \"bbox\": [371, 88, 417, 104]}, {\"cell\": \"0.59 \", \"bbox\": [476, 91, 493, 102]}, {\"cell\": \"DBP (mmHg)\", \"bbox\": [2, 104, 55, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [149, 101, 190, 116]}, {\"cell\": \"78.7 ± 11.4\", \"bbox\": [254, 101, 296, 116]}, {\"cell\": \"80.2 ± 10.48\", \"bbox\": [371, 101, 417, 116]}, {\"cell\": \"0.13 \", \"bbox\": [477, 104, 492, 115]}, {\"cell\": \"25-(OH)D (nmol/L) \", \"bbox\": [2, 116, 77, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [145, 113, 195, 129]}, {\"cell\": \"32.41 ± 8.02\", \"bbox\": [252, 113, 298, 129]}, {\"cell\": \"60.22 ± 11.20\", \"bbox\": [369, 113, 419, 129]}, {\"cell\": \"0.00 \", \"bbox\": [476, 116, 493, 127]}, {\"cell\": \"HbA1c (%)\", \"bbox\": [2, 129, 44, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [149, 126, 190, 141]}, {\"cell\": \"9.03 ± 2.10\", \"bbox\": [254, 126, 296, 141]}, {\"cell\": \"8.55 ± 2.05\", \"bbox\": [374, 126, 415, 141]}, {\"cell\": \"0.01 \", \"bbox\": [476, 129, 492, 139]}, {\"cell\": \"Fasting glucose (mmol/L)\", \"bbox\": [2, 141, 97, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [149, 138, 190, 153]}, {\"cell\": \"8.17 ± 2.83\", \"bbox\": [254, 138, 296, 153]}, {\"cell\": \"7.70 ± 2.80\", \"bbox\": [374, 138, 415, 153]}, {\"cell\": \"0.01 \", \"bbox\": [476, 141, 492, 152]}, {\"cell\": \"Fasting insulin (uU/mL) \", \"bbox\": [2, 154, 92, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [145, 150, 195, 166]}, {\"cell\": \"14.98 ± 19.17\", \"bbox\": [250, 150, 300, 166]}, {\"cell\": \"12.90 ± 17.66\", \"bbox\": [369, 150, 419, 166]}, {\"cell\": \"0.27 \", \"bbox\": [476, 154, 493, 164]}, {\"cell\": \"HOMA-B\", \"bbox\": [2, 166, 40, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [141, 163, 199, 178]}, {\"cell\": \"124.68 ± 454.9\", \"bbox\": [248, 163, 302, 178]}, {\"cell\": \"91.91 ± 168.3\", \"bbox\": [369, 163, 419, 178]}, {\"cell\": \"0.41 \", \"bbox\": [476, 166, 492, 177]}, {\"cell\": \"HOMA-IR\", \"bbox\": [2, 179, 43, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [149, 175, 190, 191]}, {\"cell\": \"5.41 ± 7.90\", \"bbox\": [254, 175, 296, 191]}, {\"cell\": \"4.63 ± 5.75\", \"bbox\": [374, 175, 415, 191]}, {\"cell\": \"0.30 \", \"bbox\": [476, 179, 493, 189]}, {\"cell\": \"Postprandial insulin (uU/mL)\", \"bbox\": [2, 191, 111, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 188, 197, 203]}, {\"cell\": \"62.24 ± 112.7\", \"bbox\": [250, 188, 300, 203]}, {\"cell\": \"64.46 ± 152.1\", \"bbox\": [369, 188, 419, 203]}, {\"cell\": \"0.85 \", \"bbox\": [476, 191, 493, 202]}, {\"cell\": \"UA (umol/L)\", \"bbox\": [2, 204, 51, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [147, 200, 192, 216]}, {\"cell\": \"312.2 ± 89.6\", \"bbox\": [252, 200, 298, 216]}, {\"cell\": \"329.8 ± 92.0\", \"bbox\": [371, 200, 417, 216]}, {\"cell\": \"0.02 \", \"bbox\": [476, 204, 493, 214]}, {\"cell\": \"CRE (umol/L)\", \"bbox\": [2, 216, 56, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [145, 213, 195, 228]}, {\"cell\": \"62.09 ± 37.43\", \"bbox\": [250, 213, 300, 228]}, {\"cell\": \"61.34 ± 18.18\", \"bbox\": [369, 213, 419, 228]}, {\"cell\": \"0.79 \", \"bbox\": [476, 216, 493, 227]}, {\"cell\": \"CHO (mmol/L)\", \"bbox\": [2, 228, 61, 239]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [149, 225, 190, 241]}, {\"cell\": \"4.76 ± 1.19\", \"bbox\": [254, 225, 296, 241]}, {\"cell\": \"4.59 ± 1.11\", \"bbox\": [374, 225, 415, 241]}, {\"cell\": \"0.12 \", \"bbox\": [477, 228, 492, 239]}, {\"cell\": \"TG (mmol/L)\", \"bbox\": [2, 241, 54, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [149, 238, 190, 253]}, {\"cell\": \"1.96 ± 1.70\", \"bbox\": [254, 238, 296, 253]}, {\"cell\": \"1.65 ± 1.01\", \"bbox\": [374, 238, 415, 253]}, {\"cell\": \"0.02 \", \"bbox\": [476, 241, 493, 252]}, {\"cell\": \"HDL-C (mmol/L)\", \"bbox\": [2, 253, 69, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [149, 250, 190, 266]}, {\"cell\": \"1.06 ± 0.41\", \"bbox\": [254, 250, 296, 266]}, {\"cell\": \"1.08 ± 0.32\", \"bbox\": [374, 250, 415, 266]}, {\"cell\": \"0.42 \", \"bbox\": [476, 253, 493, 264]}, {\"cell\": \"LDL-C (mmol/L)\", \"bbox\": [2, 266, 67, 276]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [149, 263, 190, 278]}, {\"cell\": \"2.70 ± 0.82\", \"bbox\": [254, 263, 296, 278]}, {\"cell\": \"2.68 ± 0.88\", \"bbox\": [374, 263, 415, 278]}, {\"cell\": \"0.75 \", \"bbox\": [476, 266, 493, 276]}, {\"cell\": \"hsCRP (mg/L) \", \"bbox\": [2, 278, 57, 289]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 275, 186, 290]}, {\"cell\": \"3.1 ± 3.0\", \"bbox\": [259, 275, 291, 290]}, {\"cell\": \"2.5 ± 3.4\", \"bbox\": [378, 275, 410, 290]}, {\"cell\": \"0.09 \", \"bbox\": [476, 278, 493, 289]}, {\"cell\": \"Urine ALB (mg/g) \", \"bbox\": [2, 291, 70, 301]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [147, 287, 192, 303]}, {\"cell\": \"90.1 ± 305.3\", \"bbox\": [252, 287, 298, 303]}, {\"cell\": \"52.8 ± 243.0\", \"bbox\": [371, 287, 417, 303]}, {\"cell\": \"0.04 \", \"bbox\": [476, 291, 493, 301]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4017846_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
ParaemetersTotalDepressed (GDS ≧ 5)Non-depressed (GDS < 5)Compare depressed and non-depressed
n = 471n = 256n = 215
Basic informationMean ± S.D. or n (%)Mean ± S.D. or n (%)Mean ± S.D. or n (%)p value
[EMPTY_CELL]80.35 ± 6.1480.79 ± 5.9879.82 ± 6.300.089(a)
[EMPTY_CELL]344 (73.0)183 (71.5)161 (74.9)0.408(c)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.438(b)
[EMPTY_CELL]142 (30.1)77 (30.1)65 (30.2)[EMPTY_CELL]
[EMPTY_CELL]144 (30.6)82 (32.0)62 (28.8)[EMPTY_CELL]
[EMPTY_CELL]57 (12.1)25 (9.8)32 (14.9)[EMPTY_CELL]
[EMPTY_CELL]76 (16.1)45 (17.6)31 (14.4)[EMPTY_CELL]
[EMPTY_CELL]52 (11.0)27 (10.5)25 (11.6)[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.042(b)
[EMPTY_CELL]127 (27.0)58 (22.7)69 (32.1)[EMPTY_CELL]
[EMPTY_CELL]199 (42.3)122 (47.7)77 (35.8)[EMPTY_CELL]
[EMPTY_CELL]120 (25.5)64 (25.0)56 (26.0)[EMPTY_CELL]
[EMPTY_CELL]25 (5.3)12 (4.7)13 (6)[EMPTY_CELL]
[EMPTY_CELL]13.22 ± 9.3813.61 ± 9.1812.75 ± 9.620.325(a)
[EMPTY_CELL]3.65 ± 2.973.66 ± 3.003.62 ± 2.960.986(c)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]5.65 ± 3.768.36 ± 2.732.35 ± 1.29<0.001(c)
[EMPTY_CELL]21.99 ± 5.7721.03 ± 5.5323.13 ± 5.86<0.001(c)
[EMPTY_CELL]61.94 ± 31.5757.68 ± 31.0367.01 ± 31.53<0.001(c)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]69 ± 30.1365.21 ± 30.1573.51 ± 29.55<0.001(c)
[EMPTY_CELL]8.09 ± 2.598.61 ± 2.587.46 ± 2.46<0.001(c)
[EMPTY_CELL]62.32 ± 21.8957.58 ± 21.2567.96 ± 21.33<0.001(c)
\", \"cells\": [{\"cell\": \"Paraemeters\", \"bbox\": [1, 4, 46, 13]}, {\"cell\": \"Total\", \"bbox\": [114, 4, 133, 13]}, {\"cell\": \"Depressed (GDS ≧ 5)\", \"bbox\": [208, 4, 282, 13]}, {\"cell\": \"Non-depressed (GDS < 5)\", \"bbox\": [303, 4, 391, 13]}, {\"cell\": \"Compare depressed and non-depressed\", \"bbox\": [413, 4, 484, 22]}, {\"cell\": \"n = 471\", \"bbox\": [114, 17, 141, 26]}, {\"cell\": \"n = 256\", \"bbox\": [208, 17, 235, 26]}, {\"cell\": \"n = 215\", \"bbox\": [303, 17, 330, 26]}, {\"cell\": \"Basic information\", \"bbox\": [1, 30, 63, 40]}, {\"cell\": \"Mean ± S.D. or n (%)\", \"bbox\": [114, 30, 186, 40]}, {\"cell\": \"Mean ± S.D. or n (%)\", \"bbox\": [208, 30, 280, 40]}, {\"cell\": \"Mean ± S.D. or n (%)\", \"bbox\": [303, 30, 376, 40]}, {\"cell\": \"p value\", \"bbox\": [413, 30, 441, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 43, 23, 53]}, {\"cell\": \"80.35 ± 6.14\", \"bbox\": [114, 43, 153, 53]}, {\"cell\": \"80.79 ± 5.98\", \"bbox\": [208, 43, 247, 53]}, {\"cell\": \"79.82 ± 6.30\", \"bbox\": [303, 43, 343, 53]}, {\"cell\": \"0.089(a)\", \"bbox\": [413, 42, 438, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 57, 56, 67]}, {\"cell\": \"344 (73.0)\", \"bbox\": [114, 57, 147, 67]}, {\"cell\": \"183 (71.5)\", \"bbox\": [208, 57, 241, 67]}, {\"cell\": \"161 (74.9)\", \"bbox\": [303, 57, 336, 67]}, {\"cell\": \"0.408(c)\", \"bbox\": [413, 56, 437, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 71, 34, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.438(b)\", \"bbox\": [413, 70, 438, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 85, 91, 95]}, {\"cell\": \"142 (30.1)\", \"bbox\": [114, 85, 147, 95]}, {\"cell\": \"77 (30.1)\", \"bbox\": [208, 85, 237, 95]}, {\"cell\": \"65 (30.2)\", \"bbox\": [303, 85, 332, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 99, 69, 109]}, {\"cell\": \"144 (30.6)\", \"bbox\": [114, 99, 147, 109]}, {\"cell\": \"82 (32.0)\", \"bbox\": [208, 99, 237, 109]}, {\"cell\": \"62 (28.8)\", \"bbox\": [303, 99, 332, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 113, 70, 123]}, {\"cell\": \"57 (12.1)\", \"bbox\": [114, 113, 143, 123]}, {\"cell\": \"25 (9.8)\", \"bbox\": [208, 113, 233, 123]}, {\"cell\": \"32 (14.9)\", \"bbox\": [303, 113, 332, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 127, 70, 137]}, {\"cell\": \"76 (16.1)\", \"bbox\": [114, 127, 143, 137]}, {\"cell\": \"45 (17.6)\", \"bbox\": [208, 127, 237, 137]}, {\"cell\": \"31 (14.4)\", \"bbox\": [303, 127, 332, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 141, 57, 151]}, {\"cell\": \"52 (11.0)\", \"bbox\": [114, 141, 143, 151]}, {\"cell\": \"27 (10.5)\", \"bbox\": [208, 141, 237, 151]}, {\"cell\": \"25 (11.6)\", \"bbox\": [303, 141, 332, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 155, 42, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.042(b)\", \"bbox\": [413, 154, 438, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 169, 53, 179]}, {\"cell\": \"127 (27.0)\", \"bbox\": [114, 169, 147, 179]}, {\"cell\": \"58 (22.7)\", \"bbox\": [208, 169, 237, 179]}, {\"cell\": \"69 (32.1)\", \"bbox\": [303, 169, 332, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 183, 66, 193]}, {\"cell\": \"199 (42.3)\", \"bbox\": [114, 183, 147, 193]}, {\"cell\": \"122 (47.7)\", \"bbox\": [208, 183, 241, 193]}, {\"cell\": \"77 (35.8)\", \"bbox\": [303, 183, 332, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 197, 86, 207]}, {\"cell\": \"120 (25.5)\", \"bbox\": [114, 197, 147, 207]}, {\"cell\": \"64 (25.0)\", \"bbox\": [208, 197, 237, 207]}, {\"cell\": \"56 (26.0)\", \"bbox\": [303, 197, 332, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 211, 84, 221]}, {\"cell\": \"25 (5.3)\", \"bbox\": [114, 211, 139, 221]}, {\"cell\": \"12 (4.7)\", \"bbox\": [208, 211, 233, 221]}, {\"cell\": \"13 (6)\", \"bbox\": [303, 211, 323, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 225, 65, 235]}, {\"cell\": \"13.22 ± 9.38\", \"bbox\": [114, 225, 153, 235]}, {\"cell\": \"13.61 ± 9.18\", \"bbox\": [208, 225, 247, 235]}, {\"cell\": \"12.75 ± 9.62\", \"bbox\": [303, 225, 343, 235]}, {\"cell\": \"0.325(a)\", \"bbox\": [413, 224, 438, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 239, 92, 249]}, {\"cell\": \"3.65 ± 2.97\", \"bbox\": [114, 239, 149, 249]}, {\"cell\": \"3.66 ± 3.00\", \"bbox\": [208, 239, 243, 249]}, {\"cell\": \"3.62 ± 2.96\", \"bbox\": [303, 239, 339, 249]}, {\"cell\": \"0.986(c)\", \"bbox\": [413, 238, 437, 249]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 253, 47, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 267, 70, 277]}, {\"cell\": \"5.65 ± 3.76\", \"bbox\": [114, 267, 149, 277]}, {\"cell\": \"8.36 ± 2.73\", \"bbox\": [208, 267, 243, 277]}, {\"cell\": \"2.35 ± 1.29\", \"bbox\": [303, 267, 339, 277]}, {\"cell\": \"<0.001(c)\", \"bbox\": [413, 266, 442, 277]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 281, 75, 291]}, {\"cell\": \"21.99 ± 5.77\", \"bbox\": [114, 281, 153, 291]}, {\"cell\": \"21.03 ± 5.53\", \"bbox\": [208, 281, 247, 291]}, {\"cell\": \"23.13 ± 5.86\", \"bbox\": [303, 281, 343, 291]}, {\"cell\": \"<0.001(c)\", \"bbox\": [413, 280, 442, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 295, 69, 305]}, {\"cell\": \"61.94 ± 31.57\", \"bbox\": [114, 295, 157, 305]}, {\"cell\": \"57.68 ± 31.03\", \"bbox\": [208, 295, 251, 305]}, {\"cell\": \"67.01 ± 31.53\", \"bbox\": [303, 295, 346, 305]}, {\"cell\": \"<0.001(c)\", \"bbox\": [413, 294, 442, 305]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 309, 45, 319]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 323, 68, 333]}, {\"cell\": \"69 ± 30.13\", \"bbox\": [114, 323, 148, 333]}, {\"cell\": \"65.21 ± 30.15\", \"bbox\": [208, 323, 251, 333]}, {\"cell\": \"73.51 ± 29.55\", \"bbox\": [303, 323, 346, 333]}, {\"cell\": \"<0.001(c)\", \"bbox\": [413, 322, 442, 333]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 337, 75, 347]}, {\"cell\": \"8.09 ± 2.59\", \"bbox\": [114, 337, 149, 347]}, {\"cell\": \"8.61 ± 2.58\", \"bbox\": [208, 337, 243, 347]}, {\"cell\": \"7.46 ± 2.46\", \"bbox\": [303, 337, 339, 347]}, {\"cell\": \"<0.001(c)\", \"bbox\": [413, 336, 442, 347]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 351, 89, 361]}, {\"cell\": \"62.32 ± 21.89\", \"bbox\": [114, 351, 157, 361]}, {\"cell\": \"57.58 ± 21.25\", \"bbox\": [208, 351, 251, 361]}, {\"cell\": \"67.96 ± 21.33\", \"bbox\": [303, 351, 346, 361]}, {\"cell\": \"<0.001(c)\", \"bbox\": [413, 350, 442, 361]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4085690_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Primary antibodyCompanyDilution
Mouse monoclonal IgG to Ascl2Millipore(MAB4418)[EMPTY_CELL]
Rabbit polyclonal IgG to CD133Proteintech(18470-1-AP)[EMPTY_CELL]
Rabbit polyclonal IgG to CD44Proteintech(15675-1-AP)[EMPTY_CELL]
Rabbit polyclonal IgG to Bmi1Proteintech (10832-1-AP)[EMPTY_CELL]
Rabbit polyclonal IgG to C-mycProteintech(10828-1-AP)[EMPTY_CELL]
Rabbit polyclonal IgG to Oct4Proteintech(11263-1-AP)[EMPTY_CELL]
Rabbit polyclonal IgG to KLF5Proteintech(21017-1-AP)[EMPTY_CELL]
Rabbit polyclonal IgG to KLF5Santa Cruz Biotechnology(sc-22797)[EMPTY_CELL]
Rabbit polyclonal IgG to YAP1Proteintech(13584-1-AP)[EMPTY_CELL]
Rabbit monoclonal IgG to YAP1Cell Signaling(#14074)[EMPTY_CELL]
Rabbit polyclonal IgG to MST1Cell Signaling(#3682)[EMPTY_CELL]
Rabbit monoclonal IgG to Phospho-YAP(Ser127)Cell Signaling(#13008)[EMPTY_CELL]
Mouse monoclonal IgG to β-actinProteintech(66009-1-Ig)[EMPTY_CELL]
Rabbit polyclonal IgG to Lamin B1Proteintech(12987-1-AP)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Primary antibody\", \"bbox\": [4, 6, 82, 16]}, {\"cell\": \"Company\", \"bbox\": [229, 6, 272, 16]}, {\"cell\": \"Dilution\", \"bbox\": [407, 6, 444, 16]}, {\"cell\": \"Mouse monoclonal IgG to Ascl2\", \"bbox\": [4, 23, 136, 34]}, {\"cell\": \"Millipore(MAB4418)\", \"bbox\": [206, 23, 295, 34]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 23, 449, 34]}, {\"cell\": \"Rabbit polyclonal IgG to CD133\", \"bbox\": [4, 40, 137, 51]}, {\"cell\": \"Proteintech(18470-1-AP)\", \"bbox\": [199, 40, 302, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 40, 449, 51]}, {\"cell\": \"Rabbit polyclonal IgG to CD44\", \"bbox\": [4, 57, 132, 68]}, {\"cell\": \"Proteintech(15675-1-AP)\", \"bbox\": [199, 57, 302, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 57, 449, 68]}, {\"cell\": \"Rabbit polyclonal IgG to Bmi1\", \"bbox\": [4, 74, 130, 85]}, {\"cell\": \"Proteintech (10832-1-AP)\", \"bbox\": [197, 74, 304, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 74, 449, 85]}, {\"cell\": \"Rabbit polyclonal IgG to C-myc\", \"bbox\": [4, 91, 135, 102]}, {\"cell\": \"Proteintech(10828-1-AP)\", \"bbox\": [199, 91, 302, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 91, 449, 102]}, {\"cell\": \"Rabbit polyclonal IgG to Oct4\", \"bbox\": [4, 105, 127, 120]}, {\"cell\": \"Proteintech(11263-1-AP)\", \"bbox\": [199, 108, 302, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 108, 449, 119]}, {\"cell\": \"Rabbit polyclonal IgG to KLF5\", \"bbox\": [4, 125, 132, 136]}, {\"cell\": \"Proteintech(21017-1-AP)\", \"bbox\": [199, 125, 302, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 125, 449, 136]}, {\"cell\": \"Rabbit polyclonal IgG to KLF5\", \"bbox\": [4, 142, 132, 153]}, {\"cell\": \"Santa Cruz Biotechnology(sc-22797)\", \"bbox\": [175, 142, 326, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [407, 142, 444, 165]}, {\"cell\": \"Rabbit polyclonal IgG to YAP1\", \"bbox\": [4, 170, 131, 182]}, {\"cell\": \"Proteintech(13584-1-AP)\", \"bbox\": [199, 170, 302, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 170, 449, 182]}, {\"cell\": \"Rabbit monoclonal IgG to YAP1\", \"bbox\": [4, 187, 136, 199]}, {\"cell\": \"Cell Signaling(#14074)\", \"bbox\": [202, 187, 299, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [407, 187, 444, 211]}, {\"cell\": \"Rabbit polyclonal IgG to MST1\", \"bbox\": [4, 216, 133, 227]}, {\"cell\": \"Cell Signaling(#3682)\", \"bbox\": [205, 216, 296, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [400, 216, 451, 227]}, {\"cell\": \"Rabbit monoclonal IgG to Phospho-YAP(Ser127)\", \"bbox\": [4, 233, 110, 256]}, {\"cell\": \"Cell Signaling(#13008)\", \"bbox\": [202, 233, 299, 244]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [400, 233, 451, 244]}, {\"cell\": \"Mouse monoclonal IgG to β-actin\", \"bbox\": [3, 259, 141, 274]}, {\"cell\": \"Proteintech(66009-1-Ig)\", \"bbox\": [201, 262, 300, 273]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [400, 262, 451, 273]}, {\"cell\": \"Rabbit polyclonal IgG to Lamin B1\", \"bbox\": [4, 279, 148, 290]}, {\"cell\": \"Proteintech(12987-1-AP)\", \"bbox\": [199, 279, 302, 290]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [400, 279, 451, 290]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5752522_012_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Group IGroup IIGroup IIIP value
Number of patients (%)107 (47.1%)83 (36.5%)37 (16.3%)[EMPTY_CELL]
Median age, years 504748[EMPTY_CELL]
Male/female62/4554/2923/14[EMPTY_CELL]
Mean stone size (range) mm233.8 (11.5–78.8)49.9 (16.9–262.5)72.3 (28.8–151.8)[EMPTY_CELL]
Stone laterality[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Right504622[EMPTY_CELL]
Left573715[EMPTY_CELL]
Stone-free rate (%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
1 day postoperatively96.9%81.9%78.3%[EMPTY_CELL]
3 months postoperatively97.2%91.5%87.9%[EMPTY_CELL]
Auxiliary procedure (%)4.6%18.1%10.8%[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Group I\", \"bbox\": [165, 4, 195, 15]}, {\"cell\": \"Group II\", \"bbox\": [269, 4, 302, 15]}, {\"cell\": \"Group III\", \"bbox\": [375, 4, 412, 15]}, {\"cell\": \"P value\", \"bbox\": [470, 1, 499, 16]}, {\"cell\": \"Number of patients (%)\", \"bbox\": [2, 17, 89, 27]}, {\"cell\": \"107 (47.1%)\", \"bbox\": [159, 17, 200, 27]}, {\"cell\": \"83 (36.5%)\", \"bbox\": [266, 17, 306, 27]}, {\"cell\": \"37 (16.3%)\", \"bbox\": [374, 17, 413, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Median age, years \", \"bbox\": [2, 31, 68, 42]}, {\"cell\": \"50\", \"bbox\": [175, 31, 185, 42]}, {\"cell\": \"47\", \"bbox\": [280, 31, 291, 42]}, {\"cell\": \"48\", \"bbox\": [388, 31, 399, 42]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [474, 31, 495, 42]}, {\"cell\": \"Male/female\", \"bbox\": [2, 46, 49, 56]}, {\"cell\": \"62/45\", \"bbox\": [169, 46, 191, 56]}, {\"cell\": \"54/29\", \"bbox\": [275, 46, 297, 56]}, {\"cell\": \"23/14\", \"bbox\": [383, 46, 404, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [474, 46, 495, 56]}, {\"cell\": \"Mean stone size (range) mm2\", \"bbox\": [2, 58, 109, 71]}, {\"cell\": \"33.8 (11.5–78.8)\", \"bbox\": [152, 60, 208, 71]}, {\"cell\": \"49.9 (16.9–262.5)\", \"bbox\": [254, 60, 317, 71]}, {\"cell\": \"72.3 (28.8–151.8)\", \"bbox\": [363, 60, 424, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 56, 496, 71]}, {\"cell\": \"Stone laterality\", \"bbox\": [2, 75, 58, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [474, 75, 495, 85]}, {\"cell\": \" Right\", \"bbox\": [12, 89, 34, 100]}, {\"cell\": \"50\", \"bbox\": [175, 89, 185, 100]}, {\"cell\": \"46\", \"bbox\": [280, 89, 291, 100]}, {\"cell\": \"22\", \"bbox\": [388, 89, 399, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Left\", \"bbox\": [12, 103, 28, 114]}, {\"cell\": \"57\", \"bbox\": [175, 103, 185, 114]}, {\"cell\": \"37\", \"bbox\": [281, 103, 291, 114]}, {\"cell\": \"15\", \"bbox\": [389, 103, 398, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Stone-free rate (%)\", \"bbox\": [2, 118, 72, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 1 day postoperatively\", \"bbox\": [12, 132, 89, 143]}, {\"cell\": \"96.9%\", \"bbox\": [168, 132, 192, 143]}, {\"cell\": \"81.9%\", \"bbox\": [274, 132, 297, 143]}, {\"cell\": \"78.3%\", \"bbox\": [382, 132, 405, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 128, 497, 143]}, {\"cell\": \" 3 months postoperatively\", \"bbox\": [12, 147, 105, 157]}, {\"cell\": \"97.2%\", \"bbox\": [169, 147, 191, 157]}, {\"cell\": \"91.5%\", \"bbox\": [275, 147, 297, 157]}, {\"cell\": \"87.9%\", \"bbox\": [382, 147, 405, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [474, 147, 495, 157]}, {\"cell\": \"Auxiliary procedure (%)\", \"bbox\": [2, 161, 92, 172]}, {\"cell\": \"4.6%\", \"bbox\": [170, 161, 190, 172]}, {\"cell\": \"18.1%\", \"bbox\": [275, 161, 296, 172]}, {\"cell\": \"10.8%\", \"bbox\": [382, 161, 405, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 157, 497, 172]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3759258_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
CharacteristicDistribution of the cohortIncidence of first-time self-harm per 100,000 person-years
N (%)AllBoysGirls
Total165,932 (100)[EMPTY_CELL]––
Gender
Boys85,182 (51.3)[EMPTY_CELL]––
Girls80,750 (48.7)[EMPTY_CELL]––
Parental education
Primary15,829 (9.5)[EMPTY_CELL]159796
Secondary69,564 (41.9)[EMPTY_CELL]154773
Tertiary80,539 (48.6)[EMPTY_CELL]131567
Household income
1st quintile (Lowest)32,659 (19.7)[EMPTY_CELL]123658
2nd quintile33,239 (20.0)[EMPTY_CELL]145795
3rd quintile33,356 (20.1)[EMPTY_CELL]176727
4th quintile33,344 (20.1)[EMPTY_CELL]157628
5th quintile (highest)33,334 (20.1)[EMPTY_CELL]116567
Receipt of welfare
No15,606 (93.8)[EMPTY_CELL]142664
Yes10,326 (6.2)[EMPTY_CELL]166837
Parental country of birth
Sweden107,470 (64.8)[EMPTY_CELL]140676
Mixed21,790 (13.1)[EMPTY_CELL]184852
Outside Sweden36,672 (22.1)[EMPTY_CELL]130565
Number of parents in the household
One49,256 (29.7)[EMPTY_CELL]207951
Two116,676 (70.3)[EMPTY_CELL]117559
History of mental disorder of biological parent
No148,718 (89.6)[EMPTY_CELL]132615
Yes17,214 (10.4)[EMPTY_CELL]2441206
\", \"cells\": [{\"cell\": \"Characteristic\", \"bbox\": [1, 3, 50, 12]}, {\"cell\": \"Distribution of the cohort\", \"bbox\": [88, 3, 140, 21]}, {\"cell\": \"Incidence of first-time self-harm per 100,000 person-years\", \"bbox\": [160, 3, 237, 30]}, {\"cell\": \"N (%)\", \"bbox\": [88, 36, 108, 46]}, {\"cell\": \"All\", \"bbox\": [160, 36, 171, 46]}, {\"cell\": \"Boys\", \"bbox\": [186, 36, 204, 46]}, {\"cell\": \"Girls\", \"bbox\": [219, 36, 236, 46]}, {\"cell\": \"Total\", \"bbox\": [1, 54, 18, 64]}, {\"cell\": \"165,932 (100)\", \"bbox\": [88, 54, 132, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [160, 54, 173, 64]}, {\"cell\": \"–\", \"bbox\": [186, 54, 192, 64]}, {\"cell\": \"–\", \"bbox\": [219, 54, 225, 64]}, {\"cell\": \"Gender\", \"bbox\": [1, 66, 26, 76]}, {\"cell\": \" Boys\", \"bbox\": [5, 79, 22, 88]}, {\"cell\": \"85,182 (51.3)\", \"bbox\": [91, 79, 133, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [160, 79, 173, 88]}, {\"cell\": \"–\", \"bbox\": [186, 79, 192, 88]}, {\"cell\": \"–\", \"bbox\": [219, 79, 225, 88]}, {\"cell\": \" Girls\", \"bbox\": [5, 91, 21, 100]}, {\"cell\": \"80,750 (48.7)\", \"bbox\": [91, 91, 133, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [160, 91, 173, 100]}, {\"cell\": \"–\", \"bbox\": [186, 91, 192, 100]}, {\"cell\": \"–\", \"bbox\": [219, 91, 225, 100]}, {\"cell\": \"Parental education\", \"bbox\": [1, 103, 62, 112]}, {\"cell\": \" Primary\", \"bbox\": [5, 115, 31, 124]}, {\"cell\": \"15,829 (9.5)\", \"bbox\": [91, 115, 130, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [160, 115, 173, 124]}, {\"cell\": \"159\", \"bbox\": [186, 115, 199, 124]}, {\"cell\": \"796\", \"bbox\": [219, 115, 232, 124]}, {\"cell\": \" Secondary\", \"bbox\": [5, 127, 41, 136]}, {\"cell\": \"69,564 (41.9)\", \"bbox\": [91, 127, 133, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [160, 127, 173, 136]}, {\"cell\": \"154\", \"bbox\": [186, 127, 199, 136]}, {\"cell\": \"773\", \"bbox\": [219, 127, 232, 136]}, {\"cell\": \" Tertiary\", \"bbox\": [5, 139, 30, 149]}, {\"cell\": \"80,539 (48.6)\", \"bbox\": [91, 139, 133, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [160, 139, 173, 149]}, {\"cell\": \"131\", \"bbox\": [186, 139, 199, 149]}, {\"cell\": \"567\", \"bbox\": [219, 139, 232, 149]}, {\"cell\": \"Household income\", \"bbox\": [1, 151, 63, 161]}, {\"cell\": \" 1st quintile (Lowest)\", \"bbox\": [5, 163, 71, 173]}, {\"cell\": \"32,659 (19.7)\", \"bbox\": [91, 163, 133, 173]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [160, 163, 173, 173]}, {\"cell\": \"123\", \"bbox\": [186, 163, 199, 173]}, {\"cell\": \"658\", \"bbox\": [219, 163, 232, 173]}, {\"cell\": \" 2nd quintile\", \"bbox\": [5, 175, 46, 185]}, {\"cell\": \"33,239 (20.0)\", \"bbox\": [91, 175, 133, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [160, 175, 173, 185]}, {\"cell\": \"145\", \"bbox\": [186, 175, 199, 185]}, {\"cell\": \"795\", \"bbox\": [219, 175, 232, 185]}, {\"cell\": \" 3rd quintile\", \"bbox\": [5, 187, 44, 197]}, {\"cell\": \"33,356 (20.1)\", \"bbox\": [91, 187, 133, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [160, 187, 173, 197]}, {\"cell\": \"176\", \"bbox\": [186, 187, 199, 197]}, {\"cell\": \"727\", \"bbox\": [219, 187, 232, 197]}, {\"cell\": \" 4th quintile\", \"bbox\": [5, 200, 44, 209]}, {\"cell\": \"33,344 (20.1)\", \"bbox\": [91, 200, 133, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [160, 200, 173, 209]}, {\"cell\": \"157\", \"bbox\": [186, 200, 199, 209]}, {\"cell\": \"628\", \"bbox\": [219, 200, 232, 209]}, {\"cell\": \" 5th quintile (highest)\", \"bbox\": [5, 212, 74, 221]}, {\"cell\": \"33,334 (20.1)\", \"bbox\": [91, 212, 133, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [160, 212, 173, 221]}, {\"cell\": \"116\", \"bbox\": [186, 212, 199, 221]}, {\"cell\": \"567\", \"bbox\": [219, 212, 232, 221]}, {\"cell\": \"Receipt of welfare\", \"bbox\": [1, 224, 59, 233]}, {\"cell\": \" No\", \"bbox\": [5, 236, 17, 245]}, {\"cell\": \"15,606 (93.8)\", \"bbox\": [91, 236, 133, 245]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [160, 236, 173, 245]}, {\"cell\": \"142\", \"bbox\": [186, 236, 199, 245]}, {\"cell\": \"664\", \"bbox\": [219, 236, 232, 245]}, {\"cell\": \" Yes\", \"bbox\": [5, 248, 17, 257]}, {\"cell\": \"10,326 (6.2)\", \"bbox\": [91, 248, 130, 257]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [160, 248, 173, 257]}, {\"cell\": \"166\", \"bbox\": [186, 248, 199, 257]}, {\"cell\": \"837\", \"bbox\": [219, 248, 232, 257]}, {\"cell\": \"Parental country of birth\", \"bbox\": [1, 260, 80, 270]}, {\"cell\": \" Sweden\", \"bbox\": [5, 272, 33, 282]}, {\"cell\": \"107,470 (64.8)\", \"bbox\": [88, 272, 133, 282]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [160, 272, 173, 282]}, {\"cell\": \"140\", \"bbox\": [186, 272, 199, 282]}, {\"cell\": \"676\", \"bbox\": [219, 272, 232, 282]}, {\"cell\": \" Mixed\", \"bbox\": [5, 284, 27, 294]}, {\"cell\": \"21,790 (13.1)\", \"bbox\": [91, 284, 133, 294]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [160, 284, 173, 294]}, {\"cell\": \"184\", \"bbox\": [186, 284, 199, 294]}, {\"cell\": \"852\", \"bbox\": [219, 284, 232, 294]}, {\"cell\": \" Outside Sweden\", \"bbox\": [5, 296, 60, 306]}, {\"cell\": \"36,672 (22.1)\", \"bbox\": [91, 296, 133, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [160, 296, 173, 306]}, {\"cell\": \"130\", \"bbox\": [186, 296, 199, 306]}, {\"cell\": \"565\", \"bbox\": [219, 296, 232, 306]}, {\"cell\": \"Number of parents in the household\", \"bbox\": [1, 308, 119, 318]}, {\"cell\": \" One\", \"bbox\": [5, 320, 21, 330]}, {\"cell\": \"49,256 (29.7)\", \"bbox\": [91, 320, 133, 330]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [160, 320, 173, 330]}, {\"cell\": \"207\", \"bbox\": [186, 320, 199, 330]}, {\"cell\": \"951\", \"bbox\": [219, 320, 232, 330]}, {\"cell\": \" Two\", \"bbox\": [5, 333, 20, 342]}, {\"cell\": \"116,676 (70.3)\", \"bbox\": [88, 333, 133, 342]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [160, 333, 173, 342]}, {\"cell\": \"117\", \"bbox\": [186, 333, 199, 342]}, {\"cell\": \"559\", \"bbox\": [219, 333, 232, 342]}, {\"cell\": \"History of mental disorder of biological parent\", \"bbox\": [1, 345, 149, 354]}, {\"cell\": \" No\", \"bbox\": [5, 357, 17, 366]}, {\"cell\": \"148,718 (89.6)\", \"bbox\": [88, 357, 133, 366]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [160, 357, 173, 366]}, {\"cell\": \"132\", \"bbox\": [186, 357, 199, 366]}, {\"cell\": \"615\", \"bbox\": [219, 357, 232, 366]}, {\"cell\": \" Yes\", \"bbox\": [5, 369, 17, 378]}, {\"cell\": \"17,214 (10.4)\", \"bbox\": [91, 369, 133, 378]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [160, 369, 173, 378]}, {\"cell\": \"244\", \"bbox\": [186, 369, 199, 378]}, {\"cell\": \"1206\", \"bbox\": [219, 369, 236, 378]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5585967_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Sub-agendaNumber ofprojectsAmountU$ (×1000)
[EMPTY_CELL]351,890
[EMPTY_CELL]981,421
[EMPTY_CELL]1245,368
[EMPTY_CELL]23374,840
[EMPTY_CELL]67266,534
[EMPTY_CELL]592,981
[EMPTY_CELL]35,605
[EMPTY_CELL]645,347
[EMPTY_CELL]6715,925
[EMPTY_CELL]2377,315
[EMPTY_CELL]361,597
[EMPTY_CELL]462,174
[EMPTY_CELL]1877,971
[EMPTY_CELL]26118,137
[EMPTY_CELL]866,409
[EMPTY_CELL]612,030
[EMPTY_CELL]138108,084
[EMPTY_CELL]1538,498
[EMPTY_CELL]37942,319
[EMPTY_CELL]1253,331
[EMPTY_CELL]16312,281
[EMPTY_CELL]983,641
[EMPTY_CELL]1639,701
[EMPTY_CELL]985,485
[EMPTY_CELL]3,586418,883
\", \"cells\": [{\"cell\": \"Sub-agenda\", \"bbox\": [1, 4, 44, 13]}, {\"cell\": \"Number ofprojects\", \"bbox\": [162, 4, 192, 31]}, {\"cell\": \"AmountU$ (×1000)\", \"bbox\": [203, 4, 233, 31]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 35, 66, 45]}, {\"cell\": \"35\", \"bbox\": [173, 35, 182, 45]}, {\"cell\": \"1,890\", \"bbox\": [209, 35, 227, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 47, 104, 57]}, {\"cell\": \"98\", \"bbox\": [173, 47, 182, 57]}, {\"cell\": \"1,421\", \"bbox\": [209, 47, 227, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 59, 93, 68]}, {\"cell\": \"124\", \"bbox\": [171, 59, 184, 68]}, {\"cell\": \"5,368\", \"bbox\": [209, 59, 227, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 71, 54, 80]}, {\"cell\": \"233\", \"bbox\": [171, 71, 184, 80]}, {\"cell\": \"74,840\", \"bbox\": [207, 71, 229, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 83, 79, 92]}, {\"cell\": \"672\", \"bbox\": [171, 83, 184, 92]}, {\"cell\": \"66,534\", \"bbox\": [207, 83, 229, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 95, 139, 104]}, {\"cell\": \"59\", \"bbox\": [173, 95, 182, 104]}, {\"cell\": \"2,981\", \"bbox\": [209, 95, 227, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 107, 82, 116]}, {\"cell\": \"3\", \"bbox\": [174, 107, 180, 116]}, {\"cell\": \"5,605\", \"bbox\": [209, 107, 227, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 119, 46, 128]}, {\"cell\": \"64\", \"bbox\": [173, 119, 182, 128]}, {\"cell\": \"5,347\", \"bbox\": [209, 119, 227, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 131, 46, 140]}, {\"cell\": \"67\", \"bbox\": [173, 131, 182, 140]}, {\"cell\": \"15,925\", \"bbox\": [207, 131, 229, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 143, 64, 152]}, {\"cell\": \"237\", \"bbox\": [171, 143, 184, 152]}, {\"cell\": \"7,315\", \"bbox\": [209, 143, 227, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 155, 120, 164]}, {\"cell\": \"36\", \"bbox\": [173, 155, 182, 164]}, {\"cell\": \"1,597\", \"bbox\": [209, 155, 227, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 167, 60, 176]}, {\"cell\": \"46\", \"bbox\": [173, 167, 182, 176]}, {\"cell\": \"2,174\", \"bbox\": [209, 167, 227, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 179, 92, 188]}, {\"cell\": \"187\", \"bbox\": [171, 179, 184, 188]}, {\"cell\": \"7,971\", \"bbox\": [209, 179, 227, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 191, 135, 209]}, {\"cell\": \"261\", \"bbox\": [171, 191, 184, 200]}, {\"cell\": \"18,137\", \"bbox\": [207, 191, 229, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 211, 136, 221]}, {\"cell\": \"86\", \"bbox\": [173, 211, 182, 221]}, {\"cell\": \"6,409\", \"bbox\": [209, 211, 227, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 223, 61, 233]}, {\"cell\": \"61\", \"bbox\": [173, 223, 182, 233]}, {\"cell\": \"2,030\", \"bbox\": [209, 223, 227, 233]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 235, 84, 245]}, {\"cell\": \"138\", \"bbox\": [171, 235, 184, 245]}, {\"cell\": \"108,084\", \"bbox\": [205, 235, 231, 245]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 247, 47, 257]}, {\"cell\": \"153\", \"bbox\": [171, 247, 184, 257]}, {\"cell\": \"8,498\", \"bbox\": [209, 247, 227, 257]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 259, 95, 269]}, {\"cell\": \"379\", \"bbox\": [171, 259, 184, 269]}, {\"cell\": \"42,319\", \"bbox\": [207, 259, 229, 269]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 271, 38, 281]}, {\"cell\": \"125\", \"bbox\": [171, 271, 184, 281]}, {\"cell\": \"3,331\", \"bbox\": [209, 271, 227, 281]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 283, 67, 293]}, {\"cell\": \"163\", \"bbox\": [171, 283, 184, 293]}, {\"cell\": \"12,281\", \"bbox\": [207, 283, 229, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 295, 103, 305]}, {\"cell\": \"98\", \"bbox\": [173, 295, 182, 305]}, {\"cell\": \"3,641\", \"bbox\": [209, 295, 227, 305]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 307, 50, 317]}, {\"cell\": \"163\", \"bbox\": [171, 307, 184, 317]}, {\"cell\": \"9,701\", \"bbox\": [209, 307, 227, 317]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 319, 145, 329]}, {\"cell\": \"98\", \"bbox\": [173, 319, 182, 329]}, {\"cell\": \"5,485\", \"bbox\": [209, 319, 227, 329]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 332, 18, 342]}, {\"cell\": \"3,586\", \"bbox\": [168, 332, 187, 342]}, {\"cell\": \"418,883\", \"bbox\": [205, 332, 231, 342]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3189161_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Characteristicn (%)
[EMPTY_CELL]
[EMPTY_CELL]262 (91.3)
[EMPTY_CELL]25 (8.7)
[EMPTY_CELL]
[EMPTY_CELL]63 (22.0)
[EMPTY_CELL]55 (19.2)
[EMPTY_CELL]92 (32.1)
[EMPTY_CELL]77 (26.8)
[EMPTY_CELL]
[EMPTY_CELL]149 (51.9)
[EMPTY_CELL]97 (33.8)
[EMPTY_CELL]41 (14.3)
[EMPTY_CELL]
[EMPTY_CELL]272 (94.8)
[EMPTY_CELL]3 (1.0)
[EMPTY_CELL]12 (4.2)
[EMPTY_CELL]
[EMPTY_CELL]244 (85.0)
[EMPTY_CELL]32 (11.1)
[EMPTY_CELL]11 (3.8)
[EMPTY_CELL]
[EMPTY_CELL]33 (11.5)
[EMPTY_CELL]287 (100)
[EMPTY_CELL]67 (23.3)
[EMPTY_CELL]
[EMPTY_CELL]48 (16.7)
[EMPTY_CELL]49 (17.1)
[EMPTY_CELL]82 (28.6)
[EMPTY_CELL]107 (37.3)
[EMPTY_CELL]
[EMPTY_CELL]255 (88.8)
[EMPTY_CELL]32 (11.1)
[EMPTY_CELL]
[EMPTY_CELL]137 (47.7)
[EMPTY_CELL]150 (52.3)
[EMPTY_CELL]
[EMPTY_CELL]260 (90.6)
[EMPTY_CELL]27 (9.4)
[EMPTY_CELL]
[EMPTY_CELL]117 (40.8)
[EMPTY_CELL]58 (20.2)
[EMPTY_CELL]112 (39.0)
\", \"cells\": [{\"cell\": \"Characteristic\", \"bbox\": [3, 2, 44, 12]}, {\"cell\": \"n (%)\", \"bbox\": [140, 2, 157, 12]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 14, 15, 24]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 23, 24, 33]}, {\"cell\": \"262 (91.3)\", \"bbox\": [133, 23, 163, 33]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 33, 29, 42]}, {\"cell\": \"25 (8.7)\", \"bbox\": [136, 33, 160, 42]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 42, 37, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 51, 27, 61]}, {\"cell\": \"63 (22.0)\", \"bbox\": [136, 51, 163, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 61, 27, 70]}, {\"cell\": \"55 (19.2)\", \"bbox\": [136, 61, 163, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 70, 27, 79]}, {\"cell\": \"92 (32.1)\", \"bbox\": [136, 70, 163, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 79, 21, 89]}, {\"cell\": \"77 (26.8)\", \"bbox\": [136, 79, 163, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 88, 92, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 98, 20, 107]}, {\"cell\": \"149 (51.9)\", \"bbox\": [133, 98, 163, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 107, 20, 117]}, {\"cell\": \"97 (33.8)\", \"bbox\": [136, 107, 163, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 116, 21, 126]}, {\"cell\": \"41 (14.3)\", \"bbox\": [136, 116, 163, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 126, 49, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 135, 30, 144]}, {\"cell\": \"272 (94.8)\", \"bbox\": [133, 135, 163, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 144, 48, 154]}, {\"cell\": \"3 (1.0)\", \"bbox\": [140, 144, 160, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 154, 24, 163]}, {\"cell\": \"12 (4.2)\", \"bbox\": [136, 154, 160, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 163, 64, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 172, 30, 182]}, {\"cell\": \"244 (85.0)\", \"bbox\": [133, 172, 163, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 181, 48, 191]}, {\"cell\": \"32 (11.1)\", \"bbox\": [136, 181, 163, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 191, 24, 200]}, {\"cell\": \"11 (3.8)\", \"bbox\": [136, 191, 160, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 200, 32, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 209, 29, 219]}, {\"cell\": \"33 (11.5)\", \"bbox\": [136, 209, 163, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 219, 32, 228]}, {\"cell\": \"287 (100)\", \"bbox\": [133, 219, 162, 228]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 228, 68, 237]}, {\"cell\": \"67 (23.3)\", \"bbox\": [136, 228, 163, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 237, 104, 247]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 246, 18, 256]}, {\"cell\": \"48 (16.7)\", \"bbox\": [136, 246, 163, 256]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 256, 20, 265]}, {\"cell\": \"49 (17.1)\", \"bbox\": [136, 256, 163, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 265, 20, 275]}, {\"cell\": \"82 (28.6)\", \"bbox\": [136, 265, 163, 275]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 274, 18, 284]}, {\"cell\": \"107 (37.3)\", \"bbox\": [133, 274, 163, 284]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 284, 40, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 293, 32, 302]}, {\"cell\": \"255 (88.8)\", \"bbox\": [133, 293, 163, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 302, 35, 312]}, {\"cell\": \"32 (11.1)\", \"bbox\": [136, 302, 163, 312]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 311, 30, 321]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 321, 17, 330]}, {\"cell\": \"137 (47.7)\", \"bbox\": [133, 321, 163, 330]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 330, 19, 340]}, {\"cell\": \"150 (52.3)\", \"bbox\": [133, 330, 163, 340]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 339, 28, 349]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 349, 56, 358]}, {\"cell\": \"260 (90.6)\", \"bbox\": [133, 349, 163, 358]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 358, 24, 367]}, {\"cell\": \"27 (9.4)\", \"bbox\": [136, 358, 160, 367]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 367, 42, 377]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 377, 27, 386]}, {\"cell\": \"117 (40.8)\", \"bbox\": [133, 377, 163, 386]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 386, 33, 395]}, {\"cell\": \"58 (20.2)\", \"bbox\": [136, 386, 163, 395]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 395, 27, 405]}, {\"cell\": \"112 (39.0)\", \"bbox\": [133, 395, 163, 405]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2957918_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Name of countryCountry codeSurvey yearSample size (total)GDP per capitaHIV/AIDS prevalence
TotalMaleFemaleUrbanRural
Burkina FasoBF[EMPTY_CELL]153802831.020.841.172.070.62
CameroonCM[EMPTY_CELL]141986664.252.895.574.673.76
Congo BrazzavilleCG[EMPTY_CELL]121091013.162.064.123.352.84
Congo Democratic RepublicCD[EMPTY_CELL]8936981.270.921.621.860.80
Cote d’IvoireCI[EMPTY_CELL]84645784.743.116.215.454.10
EthiopiaET[EMPTY_CELL]285032301.430.981.864.160.62
GhanaGH[EMPTY_CELL]95542762.201.632.712.302.12
GuineaGN[EMPTY_CELL]67673851.541.101.892.650.95
KenyaKE[EMPTY_CELL]69064576.364.5526.437.256.07
LesothoLS[EMPTY_CELL]692448522.9718.4526.7326.8321.27
LiberiaLR[EMPTY_CELL]116881871.601.231.912.540.94
MalawiMW[EMPTY_CELL]1390518110.678.3912.8817.748.88
MaliML[EMPTY_CELL]86292551.341.111.541.731.12
MozambiqueMZ[EMPTY_CELL]1030536811.119.0412.6715.528.95
NigerNE[EMPTY_CELL]76731720.710.710.711.460.50
RwandaRW[EMPTY_CELL]132483533.092.413.717.032.37
Sao Tome & PrincipeST[EMPTY_CELL]471018741.541.791.290.882.26
SenegalSN[EMPTY_CELL]99175600.680.510.830.630.74
Sierra LeoneSL[EMPTY_CELL]64552591.471.161.732.400.94
SwazilandSZ[EMPTY_CELL]8186174525.8819.7031.1531.4323.79
TanzaniaTZ[EMPTY_CELL]150444205.674.566.618.734.69
UgandaUG[EMPTY_CELL]105993937.286.118.218.856.89
ZambiaZM[EMPTY_CELL]1087438514.2112.2916.0919.5110.27
ZimbabweZW[EMPTY_CELL]1389733515.3212.6617.7116.8414.65
Total†[EMPTY_CELL][EMPTY_CELL]2628713284.513.516.965.903.90
\", \"cells\": [{\"cell\": \"Name of country\", \"bbox\": [1, 4, 61, 13]}, {\"cell\": \"Country code\", \"bbox\": [110, 4, 140, 22]}, {\"cell\": \"Survey year\", \"bbox\": [163, 4, 188, 22]}, {\"cell\": \"Sample size (total)\", \"bbox\": [209, 4, 247, 22]}, {\"cell\": \"GDP per capita\", \"bbox\": [264, 4, 295, 22]}, {\"cell\": \"HIV/AIDS prevalence\", \"bbox\": [361, 4, 435, 13]}, {\"cell\": \"Total\", \"bbox\": [311, 17, 330, 27]}, {\"cell\": \"Male\", \"bbox\": [347, 17, 365, 27]}, {\"cell\": \"Female\", \"bbox\": [382, 17, 409, 27]}, {\"cell\": \"Urban\", \"bbox\": [425, 17, 448, 27]}, {\"cell\": \"Rural\", \"bbox\": [465, 17, 484, 27]}, {\"cell\": \"Burkina Faso\", \"bbox\": [1, 30, 43, 40]}, {\"cell\": \"BF\", \"bbox\": [120, 30, 130, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [167, 30, 184, 40]}, {\"cell\": \"15380\", \"bbox\": [218, 30, 239, 40]}, {\"cell\": \"283\", \"bbox\": [272, 30, 286, 40]}, {\"cell\": \"1.02\", \"bbox\": [313, 30, 328, 40]}, {\"cell\": \"0.84\", \"bbox\": [349, 30, 364, 40]}, {\"cell\": \"1.17\", \"bbox\": [388, 30, 403, 40]}, {\"cell\": \"2.07\", \"bbox\": [429, 30, 444, 40]}, {\"cell\": \"0.62\", \"bbox\": [467, 30, 482, 40]}, {\"cell\": \"Cameroon\", \"bbox\": [1, 44, 36, 54]}, {\"cell\": \"CM\", \"bbox\": [119, 44, 132, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [167, 44, 184, 54]}, {\"cell\": \"14198\", \"bbox\": [218, 44, 239, 54]}, {\"cell\": \"666\", \"bbox\": [272, 44, 286, 54]}, {\"cell\": \"4.25\", \"bbox\": [313, 44, 328, 54]}, {\"cell\": \"2.89\", \"bbox\": [349, 44, 364, 54]}, {\"cell\": \"5.57\", \"bbox\": [388, 44, 403, 54]}, {\"cell\": \"4.67\", \"bbox\": [429, 44, 444, 54]}, {\"cell\": \"3.76\", \"bbox\": [467, 44, 482, 54]}, {\"cell\": \"Congo Brazzaville\", \"bbox\": [1, 58, 59, 68]}, {\"cell\": \"CG\", \"bbox\": [120, 58, 131, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [167, 58, 184, 68]}, {\"cell\": \"12109\", \"bbox\": [218, 58, 239, 68]}, {\"cell\": \"101\", \"bbox\": [272, 58, 286, 68]}, {\"cell\": \"3.16\", \"bbox\": [313, 58, 328, 68]}, {\"cell\": \"2.06\", \"bbox\": [349, 58, 364, 68]}, {\"cell\": \"4.12\", \"bbox\": [388, 58, 403, 68]}, {\"cell\": \"3.35\", \"bbox\": [429, 58, 444, 68]}, {\"cell\": \"2.84\", \"bbox\": [467, 58, 482, 68]}, {\"cell\": \"Congo Democratic Republic\", \"bbox\": [1, 72, 93, 82]}, {\"cell\": \"CD\", \"bbox\": [119, 72, 131, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [167, 72, 184, 82]}, {\"cell\": \"8936\", \"bbox\": [220, 72, 237, 82]}, {\"cell\": \"98\", \"bbox\": [274, 72, 284, 82]}, {\"cell\": \"1.27\", \"bbox\": [313, 72, 328, 82]}, {\"cell\": \"0.92\", \"bbox\": [349, 72, 364, 82]}, {\"cell\": \"1.62\", \"bbox\": [388, 72, 403, 82]}, {\"cell\": \"1.86\", \"bbox\": [429, 72, 444, 82]}, {\"cell\": \"0.80\", \"bbox\": [467, 72, 482, 82]}, {\"cell\": \"Cote d’Ivoire\", \"bbox\": [1, 86, 43, 96]}, {\"cell\": \"CI\", \"bbox\": [121, 86, 129, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [167, 86, 184, 96]}, {\"cell\": \"8464\", \"bbox\": [220, 86, 237, 96]}, {\"cell\": \"578\", \"bbox\": [272, 86, 286, 96]}, {\"cell\": \"4.74\", \"bbox\": [313, 86, 328, 96]}, {\"cell\": \"3.11\", \"bbox\": [349, 86, 364, 96]}, {\"cell\": \"6.21\", \"bbox\": [388, 86, 403, 96]}, {\"cell\": \"5.45\", \"bbox\": [429, 86, 444, 96]}, {\"cell\": \"4.10\", \"bbox\": [467, 86, 482, 96]}, {\"cell\": \"Ethiopia\", \"bbox\": [1, 100, 28, 110]}, {\"cell\": \"ET\", \"bbox\": [121, 100, 130, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [167, 100, 184, 110]}, {\"cell\": \"28503\", \"bbox\": [218, 100, 239, 110]}, {\"cell\": \"230\", \"bbox\": [272, 100, 286, 110]}, {\"cell\": \"1.43\", \"bbox\": [313, 100, 328, 110]}, {\"cell\": \"0.98\", \"bbox\": [349, 100, 364, 110]}, {\"cell\": \"1.86\", \"bbox\": [388, 100, 403, 110]}, {\"cell\": \"4.16\", \"bbox\": [429, 100, 444, 110]}, {\"cell\": \"0.62\", \"bbox\": [467, 100, 482, 110]}, {\"cell\": \"Ghana\", \"bbox\": [1, 114, 23, 124]}, {\"cell\": \"GH\", \"bbox\": [119, 114, 131, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [167, 114, 184, 124]}, {\"cell\": \"9554\", \"bbox\": [220, 114, 237, 124]}, {\"cell\": \"276\", \"bbox\": [272, 114, 286, 124]}, {\"cell\": \"2.20\", \"bbox\": [313, 114, 328, 124]}, {\"cell\": \"1.63\", \"bbox\": [349, 114, 364, 124]}, {\"cell\": \"2.71\", \"bbox\": [388, 114, 403, 124]}, {\"cell\": \"2.30\", \"bbox\": [429, 114, 444, 124]}, {\"cell\": \"2.12\", \"bbox\": [467, 114, 482, 124]}, {\"cell\": \"Guinea\", \"bbox\": [1, 128, 25, 138]}, {\"cell\": \"GN\", \"bbox\": [119, 128, 131, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [167, 128, 184, 138]}, {\"cell\": \"6767\", \"bbox\": [220, 128, 237, 138]}, {\"cell\": \"385\", \"bbox\": [272, 128, 286, 138]}, {\"cell\": \"1.54\", \"bbox\": [313, 128, 328, 138]}, {\"cell\": \"1.10\", \"bbox\": [349, 128, 364, 138]}, {\"cell\": \"1.89\", \"bbox\": [388, 128, 403, 138]}, {\"cell\": \"2.65\", \"bbox\": [429, 128, 444, 138]}, {\"cell\": \"0.95\", \"bbox\": [467, 128, 482, 138]}, {\"cell\": \"Kenya\", \"bbox\": [1, 142, 22, 152]}, {\"cell\": \"KE\", \"bbox\": [121, 142, 130, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 142, 193, 152]}, {\"cell\": \"6906\", \"bbox\": [220, 142, 237, 152]}, {\"cell\": \"457\", \"bbox\": [272, 142, 286, 152]}, {\"cell\": \"6.36\", \"bbox\": [313, 142, 328, 152]}, {\"cell\": \"4.55\", \"bbox\": [349, 142, 364, 152]}, {\"cell\": \"26.43\", \"bbox\": [386, 142, 405, 152]}, {\"cell\": \"7.25\", \"bbox\": [429, 142, 444, 152]}, {\"cell\": \"6.07\", \"bbox\": [467, 142, 482, 152]}, {\"cell\": \"Lesotho\", \"bbox\": [1, 156, 28, 166]}, {\"cell\": \"LS\", \"bbox\": [121, 156, 130, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 156, 193, 166]}, {\"cell\": \"6924\", \"bbox\": [220, 156, 237, 166]}, {\"cell\": \"485\", \"bbox\": [272, 156, 286, 166]}, {\"cell\": \"22.97\", \"bbox\": [311, 156, 330, 166]}, {\"cell\": \"18.45\", \"bbox\": [347, 156, 365, 166]}, {\"cell\": \"26.73\", \"bbox\": [386, 156, 405, 166]}, {\"cell\": \"26.83\", \"bbox\": [427, 156, 446, 166]}, {\"cell\": \"21.27\", \"bbox\": [465, 156, 484, 166]}, {\"cell\": \"Liberia\", \"bbox\": [1, 170, 23, 180]}, {\"cell\": \"LR\", \"bbox\": [121, 170, 130, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [167, 170, 184, 180]}, {\"cell\": \"11688\", \"bbox\": [218, 170, 239, 180]}, {\"cell\": \"187\", \"bbox\": [272, 170, 286, 180]}, {\"cell\": \"1.60\", \"bbox\": [313, 170, 328, 180]}, {\"cell\": \"1.23\", \"bbox\": [349, 170, 364, 180]}, {\"cell\": \"1.91\", \"bbox\": [388, 170, 403, 180]}, {\"cell\": \"2.54\", \"bbox\": [429, 170, 444, 180]}, {\"cell\": \"0.94\", \"bbox\": [467, 170, 482, 180]}, {\"cell\": \"Malawi\", \"bbox\": [1, 184, 25, 194]}, {\"cell\": \"MW\", \"bbox\": [118, 184, 133, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [167, 184, 184, 194]}, {\"cell\": \"13905\", \"bbox\": [218, 184, 239, 194]}, {\"cell\": \"181\", \"bbox\": [272, 184, 286, 194]}, {\"cell\": \"10.67\", \"bbox\": [311, 184, 330, 194]}, {\"cell\": \"8.39\", \"bbox\": [349, 184, 364, 194]}, {\"cell\": \"12.88\", \"bbox\": [386, 184, 405, 194]}, {\"cell\": \"17.74\", \"bbox\": [427, 184, 446, 194]}, {\"cell\": \"8.88\", \"bbox\": [467, 184, 482, 194]}, {\"cell\": \"Mali\", \"bbox\": [1, 198, 16, 208]}, {\"cell\": \"ML\", \"bbox\": [119, 198, 131, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [167, 198, 184, 208]}, {\"cell\": \"8629\", \"bbox\": [220, 198, 237, 208]}, {\"cell\": \"255\", \"bbox\": [272, 198, 286, 208]}, {\"cell\": \"1.34\", \"bbox\": [313, 198, 328, 208]}, {\"cell\": \"1.11\", \"bbox\": [349, 198, 364, 208]}, {\"cell\": \"1.54\", \"bbox\": [388, 198, 403, 208]}, {\"cell\": \"1.73\", \"bbox\": [429, 198, 444, 208]}, {\"cell\": \"1.12\", \"bbox\": [467, 198, 482, 208]}, {\"cell\": \"Mozambique\", \"bbox\": [1, 212, 44, 222]}, {\"cell\": \"MZ\", \"bbox\": [119, 212, 132, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [167, 212, 184, 222]}, {\"cell\": \"10305\", \"bbox\": [218, 212, 239, 222]}, {\"cell\": \"368\", \"bbox\": [272, 212, 286, 222]}, {\"cell\": \"11.11\", \"bbox\": [311, 212, 330, 222]}, {\"cell\": \"9.04\", \"bbox\": [349, 212, 364, 222]}, {\"cell\": \"12.67\", \"bbox\": [386, 212, 405, 222]}, {\"cell\": \"15.52\", \"bbox\": [427, 212, 446, 222]}, {\"cell\": \"8.95\", \"bbox\": [467, 212, 482, 222]}, {\"cell\": \"Niger\", \"bbox\": [1, 226, 20, 236]}, {\"cell\": \"NE\", \"bbox\": [120, 226, 131, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [167, 226, 184, 236]}, {\"cell\": \"7673\", \"bbox\": [220, 226, 237, 236]}, {\"cell\": \"172\", \"bbox\": [272, 226, 286, 236]}, {\"cell\": \"0.71\", \"bbox\": [313, 226, 328, 236]}, {\"cell\": \"0.71\", \"bbox\": [349, 226, 364, 236]}, {\"cell\": \"0.71\", \"bbox\": [388, 226, 403, 236]}, {\"cell\": \"1.46\", \"bbox\": [429, 226, 444, 236]}, {\"cell\": \"0.50\", \"bbox\": [467, 226, 482, 236]}, {\"cell\": \"Rwanda\", \"bbox\": [1, 240, 28, 250]}, {\"cell\": \"RW\", \"bbox\": [119, 240, 132, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [167, 240, 184, 250]}, {\"cell\": \"13248\", \"bbox\": [218, 240, 239, 250]}, {\"cell\": \"353\", \"bbox\": [272, 240, 286, 250]}, {\"cell\": \"3.09\", \"bbox\": [313, 240, 328, 250]}, {\"cell\": \"2.41\", \"bbox\": [349, 240, 364, 250]}, {\"cell\": \"3.71\", \"bbox\": [388, 240, 403, 250]}, {\"cell\": \"7.03\", \"bbox\": [429, 240, 444, 250]}, {\"cell\": \"2.37\", \"bbox\": [467, 240, 482, 250]}, {\"cell\": \"Sao Tome & Principe\", \"bbox\": [1, 254, 69, 264]}, {\"cell\": \"ST\", \"bbox\": [121, 254, 130, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 254, 193, 264]}, {\"cell\": \"4710\", \"bbox\": [220, 254, 237, 264]}, {\"cell\": \"1874\", \"bbox\": [271, 254, 288, 264]}, {\"cell\": \"1.54\", \"bbox\": [313, 254, 328, 264]}, {\"cell\": \"1.79\", \"bbox\": [349, 254, 364, 264]}, {\"cell\": \"1.29\", \"bbox\": [388, 254, 403, 264]}, {\"cell\": \"0.88\", \"bbox\": [429, 254, 444, 264]}, {\"cell\": \"2.26\", \"bbox\": [467, 254, 482, 264]}, {\"cell\": \"Senegal\", \"bbox\": [1, 268, 28, 278]}, {\"cell\": \"SN\", \"bbox\": [120, 268, 131, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [167, 268, 184, 278]}, {\"cell\": \"9917\", \"bbox\": [220, 268, 237, 278]}, {\"cell\": \"560\", \"bbox\": [272, 268, 286, 278]}, {\"cell\": \"0.68\", \"bbox\": [313, 268, 328, 278]}, {\"cell\": \"0.51\", \"bbox\": [349, 268, 364, 278]}, {\"cell\": \"0.83\", \"bbox\": [388, 268, 403, 278]}, {\"cell\": \"0.63\", \"bbox\": [429, 268, 444, 278]}, {\"cell\": \"0.74\", \"bbox\": [467, 268, 482, 278]}, {\"cell\": \"Sierra Leone\", \"bbox\": [1, 282, 42, 292]}, {\"cell\": \"SL\", \"bbox\": [121, 282, 130, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [167, 282, 184, 292]}, {\"cell\": \"6455\", \"bbox\": [220, 282, 237, 292]}, {\"cell\": \"259\", \"bbox\": [272, 282, 286, 292]}, {\"cell\": \"1.47\", \"bbox\": [313, 282, 328, 292]}, {\"cell\": \"1.16\", \"bbox\": [349, 282, 364, 292]}, {\"cell\": \"1.73\", \"bbox\": [388, 282, 403, 292]}, {\"cell\": \"2.40\", \"bbox\": [429, 282, 444, 292]}, {\"cell\": \"0.94\", \"bbox\": [467, 282, 482, 292]}, {\"cell\": \"Swaziland\", \"bbox\": [1, 296, 34, 306]}, {\"cell\": \"SZ\", \"bbox\": [120, 296, 130, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 296, 193, 306]}, {\"cell\": \"8186\", \"bbox\": [220, 296, 237, 306]}, {\"cell\": \"1745\", \"bbox\": [271, 296, 288, 306]}, {\"cell\": \"25.88\", \"bbox\": [311, 296, 330, 306]}, {\"cell\": \"19.70\", \"bbox\": [347, 296, 365, 306]}, {\"cell\": \"31.15\", \"bbox\": [386, 296, 405, 306]}, {\"cell\": \"31.43\", \"bbox\": [427, 296, 446, 306]}, {\"cell\": \"23.79\", \"bbox\": [465, 296, 484, 306]}, {\"cell\": \"Tanzania\", \"bbox\": [1, 310, 30, 320]}, {\"cell\": \"TZ\", \"bbox\": [120, 310, 130, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 310, 193, 320]}, {\"cell\": \"15044\", \"bbox\": [218, 310, 239, 320]}, {\"cell\": \"420\", \"bbox\": [272, 310, 286, 320]}, {\"cell\": \"5.67\", \"bbox\": [313, 310, 328, 320]}, {\"cell\": \"4.56\", \"bbox\": [349, 310, 364, 320]}, {\"cell\": \"6.61\", \"bbox\": [388, 310, 403, 320]}, {\"cell\": \"8.73\", \"bbox\": [429, 310, 444, 320]}, {\"cell\": \"4.69\", \"bbox\": [467, 310, 482, 320]}, {\"cell\": \"Uganda\", \"bbox\": [1, 324, 28, 334]}, {\"cell\": \"UG\", \"bbox\": [119, 324, 131, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [167, 324, 184, 334]}, {\"cell\": \"10599\", \"bbox\": [218, 324, 239, 334]}, {\"cell\": \"393\", \"bbox\": [272, 324, 286, 334]}, {\"cell\": \"7.28\", \"bbox\": [313, 324, 328, 334]}, {\"cell\": \"6.11\", \"bbox\": [349, 324, 364, 334]}, {\"cell\": \"8.21\", \"bbox\": [388, 324, 403, 334]}, {\"cell\": \"8.85\", \"bbox\": [429, 324, 444, 334]}, {\"cell\": \"6.89\", \"bbox\": [467, 324, 482, 334]}, {\"cell\": \"Zambia\", \"bbox\": [1, 338, 26, 348]}, {\"cell\": \"ZM\", \"bbox\": [119, 338, 132, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [167, 338, 184, 348]}, {\"cell\": \"10874\", \"bbox\": [218, 338, 239, 348]}, {\"cell\": \"385\", \"bbox\": [272, 338, 286, 348]}, {\"cell\": \"14.21\", \"bbox\": [311, 338, 330, 348]}, {\"cell\": \"12.29\", \"bbox\": [347, 338, 365, 348]}, {\"cell\": \"16.09\", \"bbox\": [386, 338, 405, 348]}, {\"cell\": \"19.51\", \"bbox\": [427, 338, 446, 348]}, {\"cell\": \"10.27\", \"bbox\": [465, 338, 484, 348]}, {\"cell\": \"Zimbabwe\", \"bbox\": [1, 352, 37, 362]}, {\"cell\": \"ZW\", \"bbox\": [119, 352, 132, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 352, 193, 362]}, {\"cell\": \"13897\", \"bbox\": [218, 352, 239, 362]}, {\"cell\": \"335\", \"bbox\": [272, 352, 286, 362]}, {\"cell\": \"15.32\", \"bbox\": [311, 352, 330, 362]}, {\"cell\": \"12.66\", \"bbox\": [347, 352, 365, 362]}, {\"cell\": \"17.71\", \"bbox\": [386, 352, 405, 362]}, {\"cell\": \"16.84\", \"bbox\": [427, 352, 446, 362]}, {\"cell\": \"14.65\", \"bbox\": [465, 352, 484, 362]}, {\"cell\": \"Total†\", \"bbox\": [1, 366, 22, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"262871\", \"bbox\": [216, 366, 241, 376]}, {\"cell\": \"328\", \"bbox\": [272, 366, 286, 376]}, {\"cell\": \"4.51\", \"bbox\": [313, 366, 328, 376]}, {\"cell\": \"3.51\", \"bbox\": [349, 366, 364, 376]}, {\"cell\": \"6.96\", \"bbox\": [388, 366, 403, 376]}, {\"cell\": \"5.90\", \"bbox\": [429, 366, 444, 376]}, {\"cell\": \"3.90\", \"bbox\": [467, 366, 482, 376]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3930550_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
World areaYear(s)
[EMPTY_CELL]1995199619971998199920002001200220031995–2003
Western Europe720 (32.7)829 (35.2)801 (36.3)870 (38.6)1037 (41.3)1324 (43.2)1223 (43.1)1125 (40.2)1147 (41.7)[EMPTY_CELL]
USA982 (44.6)978 (41.5)853 (38.6)829 (36.8)904 (36.0)1088 (35.5)992 (35.0)972 (34.8)956 (34.8)[EMPTY_CELL]
Asia (excluding Japan)114 (5.2)128 (5.4)132 (6.0)134 (6.0)138 (5.5)154 (5.0)169 (6.0)193 (6.9)186 (6.8)[EMPTY_CELL]
Canada113 (5.1)144 (6.1)126 (5.7)126 (5.6)139 (5.5)134 (4.4)123 (4.3)129 (4.6)130 (4.7)[EMPTY_CELL]
Oceania120 (5.5)116 (4.9)128 (5.8)123 (5.5)111 (4.4)120 (3.9)128 (4.5)140 (5.0)130 (4.7)[EMPTY_CELL]
Japan94 (4.3)92 (3.9)103 (4.7)107 (4.8)110 (4.4)173 (5.6)120 (4.2)126 (4.5)101 (3.7)[EMPTY_CELL]
Eastern Europe24 (1.1)39 (1.7)29 (1.3)28 (1.2)35 (1.4)30 (1.0)33 (1.2)61 (2.2)46 (1.7)[EMPTY_CELL]
Latin America and the Caribbean8 (0.4)13 (0.6)16 (0.7)19 (0.8)21 (0.8)29 (0.9)31 (1.1)35 (1.3)34 (1.2)[EMPTY_CELL]
Africa25 (1.1)19 (0.8)20 (0.9)16 (0.7)13 (0.5)15 (0.5)17 (0.6)16 (0.6)20 (0.7)[EMPTY_CELL]
Total2200 (100)2358 (100)2208 (100)2252 (100)2508 (100)3067 (100)2836 (100)2797 (100)2750 (100)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"World area\", \"bbox\": [2, 9, 37, 18]}, {\"cell\": \"Year(s)\", \"bbox\": [268, 9, 291, 18]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1995\", \"bbox\": [71, 27, 90, 36]}, {\"cell\": \"1996\", \"bbox\": [116, 27, 134, 36]}, {\"cell\": \"1997\", \"bbox\": [160, 27, 179, 36]}, {\"cell\": \"1998\", \"bbox\": [205, 27, 223, 36]}, {\"cell\": \"1999\", \"bbox\": [250, 27, 268, 36]}, {\"cell\": \"2000\", \"bbox\": [294, 27, 312, 36]}, {\"cell\": \"2001\", \"bbox\": [339, 27, 357, 36]}, {\"cell\": \"2002\", \"bbox\": [383, 27, 402, 36]}, {\"cell\": \"2003\", \"bbox\": [428, 27, 446, 36]}, {\"cell\": \"1995–2003\", \"bbox\": [461, 27, 499, 36]}, {\"cell\": \"Western Europe\", \"bbox\": [2, 48, 52, 57]}, {\"cell\": \"720 (32.7)\", \"bbox\": [63, 48, 98, 57]}, {\"cell\": \"829 (35.2)\", \"bbox\": [108, 48, 142, 57]}, {\"cell\": \"801 (36.3)\", \"bbox\": [152, 48, 187, 57]}, {\"cell\": \"870 (38.6)\", \"bbox\": [197, 48, 231, 57]}, {\"cell\": \"1037 (41.3)\", \"bbox\": [240, 48, 278, 57]}, {\"cell\": \"1324 (43.2)\", \"bbox\": [284, 48, 323, 57]}, {\"cell\": \"1223 (43.1)\", \"bbox\": [329, 48, 367, 57]}, {\"cell\": \"1125 (40.2)\", \"bbox\": [373, 48, 412, 57]}, {\"cell\": \"1147 (41.7)\", \"bbox\": [418, 48, 456, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [461, 48, 499, 57]}, {\"cell\": \"USA\", \"bbox\": [2, 63, 17, 72]}, {\"cell\": \"982 (44.6)\", \"bbox\": [63, 63, 98, 72]}, {\"cell\": \"978 (41.5)\", \"bbox\": [108, 63, 142, 72]}, {\"cell\": \"853 (38.6)\", \"bbox\": [152, 63, 187, 72]}, {\"cell\": \"829 (36.8)\", \"bbox\": [197, 63, 231, 72]}, {\"cell\": \"904 (36.0)\", \"bbox\": [242, 63, 276, 72]}, {\"cell\": \"1088 (35.5)\", \"bbox\": [284, 63, 323, 72]}, {\"cell\": \"992 (35.0)\", \"bbox\": [331, 63, 365, 72]}, {\"cell\": \"972 (34.8)\", \"bbox\": [375, 63, 410, 72]}, {\"cell\": \"956 (34.8)\", \"bbox\": [420, 63, 454, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [461, 63, 499, 72]}, {\"cell\": \"Asia (excluding Japan)\", \"bbox\": [2, 77, 49, 93]}, {\"cell\": \"114 (5.2)\", \"bbox\": [65, 77, 96, 86]}, {\"cell\": \"128 (5.4)\", \"bbox\": [110, 77, 140, 86]}, {\"cell\": \"132 (6.0)\", \"bbox\": [154, 77, 185, 86]}, {\"cell\": \"134 (6.0)\", \"bbox\": [199, 77, 229, 86]}, {\"cell\": \"138 (5.5)\", \"bbox\": [244, 77, 274, 86]}, {\"cell\": \"154 (5.0)\", \"bbox\": [288, 77, 319, 86]}, {\"cell\": \"169 (6.0)\", \"bbox\": [333, 77, 363, 86]}, {\"cell\": \"193 (6.9)\", \"bbox\": [377, 77, 408, 86]}, {\"cell\": \"186 (6.8)\", \"bbox\": [422, 77, 452, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 77, 497, 86]}, {\"cell\": \"Canada\", \"bbox\": [2, 99, 27, 108]}, {\"cell\": \"113 (5.1)\", \"bbox\": [65, 99, 96, 108]}, {\"cell\": \"144 (6.1)\", \"bbox\": [110, 99, 140, 108]}, {\"cell\": \"126 (5.7)\", \"bbox\": [155, 99, 185, 108]}, {\"cell\": \"126 (5.6)\", \"bbox\": [199, 99, 229, 108]}, {\"cell\": \"139 (5.5)\", \"bbox\": [244, 99, 274, 108]}, {\"cell\": \"134 (4.4)\", \"bbox\": [288, 99, 319, 108]}, {\"cell\": \"123 (4.3)\", \"bbox\": [333, 99, 363, 108]}, {\"cell\": \"129 (4.6)\", \"bbox\": [377, 99, 408, 108]}, {\"cell\": \"130 (4.7)\", \"bbox\": [422, 99, 452, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 99, 497, 108]}, {\"cell\": \"Oceania\", \"bbox\": [2, 113, 29, 122]}, {\"cell\": \"120 (5.5)\", \"bbox\": [65, 113, 96, 122]}, {\"cell\": \"116 (4.9)\", \"bbox\": [110, 113, 140, 122]}, {\"cell\": \"128 (5.8)\", \"bbox\": [154, 113, 185, 122]}, {\"cell\": \"123 (5.5)\", \"bbox\": [199, 113, 229, 122]}, {\"cell\": \"111 (4.4)\", \"bbox\": [244, 113, 274, 122]}, {\"cell\": \"120 (3.9)\", \"bbox\": [288, 113, 319, 122]}, {\"cell\": \"128 (4.5)\", \"bbox\": [333, 113, 363, 122]}, {\"cell\": \"140 (5.0)\", \"bbox\": [377, 113, 408, 122]}, {\"cell\": \"130 (4.7)\", \"bbox\": [422, 113, 452, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 113, 497, 122]}, {\"cell\": \"Japan\", \"bbox\": [2, 128, 21, 137]}, {\"cell\": \"94 (4.3)\", \"bbox\": [67, 128, 94, 137]}, {\"cell\": \"92 (3.9)\", \"bbox\": [112, 128, 138, 137]}, {\"cell\": \"103 (4.7)\", \"bbox\": [154, 128, 185, 137]}, {\"cell\": \"107 (4.8)\", \"bbox\": [199, 128, 229, 137]}, {\"cell\": \"110 (4.4)\", \"bbox\": [244, 128, 274, 137]}, {\"cell\": \"173 (5.6)\", \"bbox\": [288, 128, 319, 137]}, {\"cell\": \"120 (4.2)\", \"bbox\": [333, 128, 363, 137]}, {\"cell\": \"126 (4.5)\", \"bbox\": [377, 128, 408, 137]}, {\"cell\": \"101 (3.7)\", \"bbox\": [422, 128, 452, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 128, 497, 137]}, {\"cell\": \"Eastern Europe\", \"bbox\": [2, 142, 49, 151]}, {\"cell\": \"24 (1.1)\", \"bbox\": [67, 142, 94, 151]}, {\"cell\": \"39 (1.7)\", \"bbox\": [112, 142, 138, 151]}, {\"cell\": \"29 (1.3)\", \"bbox\": [156, 142, 183, 151]}, {\"cell\": \"28 (1.2)\", \"bbox\": [201, 142, 227, 151]}, {\"cell\": \"35 (1.4)\", \"bbox\": [246, 142, 272, 151]}, {\"cell\": \"30 (1.0)\", \"bbox\": [290, 142, 316, 151]}, {\"cell\": \"33 (1.2)\", \"bbox\": [335, 142, 361, 151]}, {\"cell\": \"61 (2.2)\", \"bbox\": [379, 142, 406, 151]}, {\"cell\": \"46 (1.7)\", \"bbox\": [424, 142, 450, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [465, 142, 495, 151]}, {\"cell\": \"Latin America and the Caribbean\", \"bbox\": [2, 157, 57, 173]}, {\"cell\": \"8 (0.4)\", \"bbox\": [69, 157, 92, 166]}, {\"cell\": \"13 (0.6)\", \"bbox\": [112, 157, 138, 166]}, {\"cell\": \"16 (0.7)\", \"bbox\": [157, 157, 183, 166]}, {\"cell\": \"19 (0.8)\", \"bbox\": [201, 157, 227, 166]}, {\"cell\": \"21 (0.8)\", \"bbox\": [246, 157, 272, 166]}, {\"cell\": \"29 (0.9)\", \"bbox\": [290, 157, 316, 166]}, {\"cell\": \"31 (1.1)\", \"bbox\": [335, 157, 361, 166]}, {\"cell\": \"35 (1.3)\", \"bbox\": [379, 157, 406, 166]}, {\"cell\": \"34 (1.2)\", \"bbox\": [424, 157, 450, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [465, 157, 495, 166]}, {\"cell\": \"Africa\", \"bbox\": [2, 178, 21, 187]}, {\"cell\": \"25 (1.1)\", \"bbox\": [67, 178, 94, 187]}, {\"cell\": \"19 (0.8)\", \"bbox\": [112, 178, 138, 187]}, {\"cell\": \"20 (0.9)\", \"bbox\": [157, 178, 183, 187]}, {\"cell\": \"16 (0.7)\", \"bbox\": [201, 178, 227, 187]}, {\"cell\": \"13 (0.5)\", \"bbox\": [246, 178, 272, 187]}, {\"cell\": \"15 (0.5)\", \"bbox\": [290, 178, 317, 187]}, {\"cell\": \"17 (0.6)\", \"bbox\": [335, 178, 361, 187]}, {\"cell\": \"16 (0.6)\", \"bbox\": [379, 178, 406, 187]}, {\"cell\": \"20 (0.7)\", \"bbox\": [424, 178, 450, 187]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [465, 178, 495, 187]}, {\"cell\": \"Total\", \"bbox\": [2, 207, 18, 216]}, {\"cell\": \"2200 (100)\", \"bbox\": [62, 207, 99, 216]}, {\"cell\": \"2358 (100)\", \"bbox\": [107, 207, 143, 216]}, {\"cell\": \"2208 (100)\", \"bbox\": [151, 207, 188, 216]}, {\"cell\": \"2252 (100)\", \"bbox\": [196, 207, 233, 216]}, {\"cell\": \"2508 (100)\", \"bbox\": [240, 207, 277, 216]}, {\"cell\": \"3067 (100)\", \"bbox\": [285, 207, 322, 216]}, {\"cell\": \"2836 (100)\", \"bbox\": [330, 207, 366, 216]}, {\"cell\": \"2797 (100)\", \"bbox\": [374, 207, 411, 216]}, {\"cell\": \"2750 (100)\", \"bbox\": [419, 207, 456, 216]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 207, 500, 216]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC1175888_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
CategoryNo.Exercise (no. of variants)
[EMPTY_CELL]1Hip/knee extension, dynamic (15)
[EMPTY_CELL]2Knee extension, static (3)
[EMPTY_CELL]3Leg lift, frontal/lateral (9)
[EMPTY_CELL]4Arm elevation (7)
[EMPTY_CELL]5Arm abduction (7)
[EMPTY_CELL]6Elbow extension/shoulder protraction (6)
[EMPTY_CELL]7Back extension, dynamic (6)
[EMPTY_CELL]8Upper back/shoulder extension, static (4)
[EMPTY_CELL]9Abdominals, static (5)
[EMPTY_CELL]10Abdominals, dynamic (10)
[EMPTY_CELL][EMPTY_CELL]Aerobics
[EMPTY_CELL]1March (2)
[EMPTY_CELL]2Tap (6)
[EMPTY_CELL]3Step touch (4)
[EMPTY_CELL]4Out-In (2)
[EMPTY_CELL]5V-step (2)
[EMPTY_CELL]6Box-step (2)
[EMPTY_CELL]7Grapevine (2)
[EMPTY_CELL]8Leg curl (2)
[EMPTY_CELL]9Knee lift (2)
[EMPTY_CELL]10Front kick (2)
[EMPTY_CELL]11Heel dig (2)
[EMPTY_CELL][EMPTY_CELL]Walking
[EMPTY_CELL]1Continuous (1)
[EMPTY_CELL]2Interval (4)
[EMPTY_CELL]1Chest/upper back (2)
[EMPTY_CELL]2Torso (1)
[EMPTY_CELL]3Neck (2)
[EMPTY_CELL]4Lateral torso (1)
[EMPTY_CELL]5Ischiocrural muscles (2)
[EMPTY_CELL]1Two-leg stand (5)
[EMPTY_CELL]2Tandem stand (5)
[EMPTY_CELL]3One-leg stand (5)
\", \"cells\": [{\"cell\": \"Category\", \"bbox\": [1, 4, 30, 13]}, {\"cell\": \"No.\", \"bbox\": [65, 4, 78, 13]}, {\"cell\": \"Exercise (no. of variants)\", \"bbox\": [108, 4, 184, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 16, 29, 26]}, {\"cell\": \"1\", \"bbox\": [65, 16, 71, 26]}, {\"cell\": \"Hip/knee extension, dynamic (15)\", \"bbox\": [108, 16, 213, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2\", \"bbox\": [65, 30, 71, 39]}, {\"cell\": \"Knee extension, static (3)\", \"bbox\": [108, 30, 186, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3\", \"bbox\": [65, 44, 71, 53]}, {\"cell\": \"Leg lift, frontal/lateral (9)\", \"bbox\": [108, 44, 185, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"4\", \"bbox\": [65, 57, 71, 67]}, {\"cell\": \"Arm elevation (7)\", \"bbox\": [108, 57, 163, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"5\", \"bbox\": [65, 71, 71, 80]}, {\"cell\": \"Arm abduction (7)\", \"bbox\": [108, 71, 166, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"6\", \"bbox\": [65, 84, 71, 94]}, {\"cell\": \"Elbow extension/shoulder protraction (6)\", \"bbox\": [108, 84, 236, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"7\", \"bbox\": [65, 98, 71, 107]}, {\"cell\": \"Back extension, dynamic (6)\", \"bbox\": [108, 98, 196, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"8\", \"bbox\": [65, 112, 71, 121]}, {\"cell\": \"Upper back/shoulder extension, static (4)\", \"bbox\": [108, 112, 236, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"9\", \"bbox\": [65, 125, 71, 134]}, {\"cell\": \"Abdominals, static (5)\", \"bbox\": [108, 125, 176, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"10\", \"bbox\": [65, 139, 75, 148]}, {\"cell\": \"Abdominals, dynamic (10)\", \"bbox\": [108, 139, 190, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 152, 35, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Aerobics\", \"bbox\": [108, 153, 139, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [65, 166, 71, 175]}, {\"cell\": \"March (2)\", \"bbox\": [108, 166, 139, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2\", \"bbox\": [65, 180, 71, 189]}, {\"cell\": \"Tap (6)\", \"bbox\": [108, 180, 131, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3\", \"bbox\": [65, 193, 71, 203]}, {\"cell\": \"Step touch (4)\", \"bbox\": [108, 193, 154, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"4\", \"bbox\": [65, 207, 71, 216]}, {\"cell\": \"Out-In (2)\", \"bbox\": [108, 207, 139, 216]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"5\", \"bbox\": [65, 220, 71, 230]}, {\"cell\": \"V-step (2)\", \"bbox\": [108, 220, 139, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"6\", \"bbox\": [65, 234, 71, 243]}, {\"cell\": \"Box-step (2)\", \"bbox\": [108, 234, 146, 243]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"7\", \"bbox\": [65, 248, 71, 257]}, {\"cell\": \"Grapevine (2)\", \"bbox\": [108, 248, 151, 257]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"8\", \"bbox\": [65, 261, 71, 270]}, {\"cell\": \"Leg curl (2)\", \"bbox\": [108, 261, 145, 270]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"9\", \"bbox\": [65, 275, 71, 284]}, {\"cell\": \"Knee lift (2)\", \"bbox\": [108, 275, 145, 284]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"10\", \"bbox\": [65, 288, 75, 298]}, {\"cell\": \"Front kick (2)\", \"bbox\": [108, 288, 150, 298]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"11\", \"bbox\": [65, 302, 75, 311]}, {\"cell\": \"Heel dig (2)\", \"bbox\": [108, 302, 146, 311]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Walking\", \"bbox\": [108, 316, 137, 325]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [65, 329, 71, 338]}, {\"cell\": \"Continuous (1)\", \"bbox\": [108, 329, 155, 338]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2\", \"bbox\": [65, 343, 71, 352]}, {\"cell\": \"Interval (4)\", \"bbox\": [108, 343, 142, 352]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 356, 31, 366]}, {\"cell\": \"1\", \"bbox\": [65, 356, 71, 366]}, {\"cell\": \"Chest/upper back (2)\", \"bbox\": [108, 356, 174, 366]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2\", \"bbox\": [65, 370, 71, 379]}, {\"cell\": \"Torso (1)\", \"bbox\": [108, 370, 137, 379]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3\", \"bbox\": [65, 384, 71, 393]}, {\"cell\": \"Neck (2)\", \"bbox\": [108, 384, 135, 393]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"4\", \"bbox\": [65, 397, 71, 406]}, {\"cell\": \"Lateral torso (1)\", \"bbox\": [108, 397, 158, 406]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"5\", \"bbox\": [65, 411, 71, 420]}, {\"cell\": \"Ischiocrural muscles (2)\", \"bbox\": [108, 411, 181, 420]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 424, 26, 434]}, {\"cell\": \"1\", \"bbox\": [65, 424, 71, 434]}, {\"cell\": \"Two-leg stand (5)\", \"bbox\": [108, 424, 164, 434]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2\", \"bbox\": [65, 438, 71, 447]}, {\"cell\": \"Tandem stand (5)\", \"bbox\": [108, 438, 164, 447]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3\", \"bbox\": [65, 452, 71, 461]}, {\"cell\": \"One-leg stand (5)\", \"bbox\": [108, 452, 164, 461]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5339965_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Case #KaryotypesFISH
146,XX,t(4;11)(q21;q23),t(9;22)(q34;q11.2) [13] /46,XX [7][EMPTY_CELL]
246,XY,add(2)(p21),inv(3)(q21q26.2),der(6)t(6;11)(p11.2;q23)t(6;9)(q25;q22)t(9;22)(q34;q11.2),der(9)t(6;9),der(11)t(6;11),der(22)t(9;22) [20][EMPTY_CELL]
345,X,-Y,t(9;22)(q34;q11),t(11;19)(q23;p13.1) [20][EMPTY_CELL]
445,XX,t(2;11)(q32;q23),del(4)(p14),del(6)(q14),t(9;22)(q34;q11),-13,add(16)(q24),del(18)(q21) [20][EMPTY_CELL]
546,XY,t(9;22)(q34;q11.2) [16] /46,sl,t(9;11)(p22;q23),i(17)(q10) [16]/47,sl,t(9;11)(p22;q23),+17 [2][EMPTY_CELL]
646,XY,t(9:22)(q34;q11.2) [9] /46,XY,der(9)t(9;18)(p22;q11.2),t(9;22)(q34;q11.2),der(11)t(9;11)(p22;q23),i(17)(q10),der(18)t(11;18)(q23;q11.2),der(22)t(9;22) [11][EMPTY_CELL]
746,XX,t(9;22)(q34;q11.2) [7] /46,XX,der(4)t(4;9;11)(p12;p22;q23),der(9)t(4;9;11)t(9;22)(q34;q11.2),der(11)t(4;9;11),der(22)t(9;22) [13][EMPTY_CELL]
850,XY,t(9;11)(p22;q23),t(9;22)(q34;q11.2),+13,+17,+22,+der(22)t(9;22) [20][EMPTY_CELL]
945,X,-Y,t(9;11)(p21;q23),t(9;22)(q34;q11.2) [8] /51,idem,+X,+6,+8,+21,+22,+der(22)t(9;22) [12][EMPTY_CELL]
1046,XX,t(9;22)(q34;q11),t(11;19)(q23;p13) [15] /46,XX [4][EMPTY_CELL]
1146,XY,t(11;17)(q23;q25) [20][EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Case #\", \"bbox\": [1, 4, 25, 13]}, {\"cell\": \"Karyotypes\", \"bbox\": [35, 4, 76, 13]}, {\"cell\": \"FISH\", \"bbox\": [467, 4, 484, 13]}, {\"cell\": \"1\", \"bbox\": [1, 17, 6, 26]}, {\"cell\": \"46,XX,t(4;11)(q21;q23),t(9;22)(q34;q11.2) [13] /46,XX [7]\", \"bbox\": [35, 17, 207, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [467, 20, 474, 25]}, {\"cell\": \"2\", \"bbox\": [1, 31, 6, 40]}, {\"cell\": \"46,XY,add(2)(p21),inv(3)(q21q26.2),der(6)t(6;11)(p11.2;q23)t(6;9)(q25;q22)t(9;22)(q34;q11.2),der(9)t(6;9),der(11)t(6;11),der(22)t(9;22) [20]\", \"bbox\": [35, 31, 452, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [467, 34, 474, 39]}, {\"cell\": \"3\", \"bbox\": [1, 45, 6, 54]}, {\"cell\": \"45,X,-Y,t(9;22)(q34;q11),t(11;19)(q23;p13.1) [20]\", \"bbox\": [35, 45, 181, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [467, 45, 474, 54]}, {\"cell\": \"4\", \"bbox\": [1, 59, 6, 68]}, {\"cell\": \"45,XX,t(2;11)(q32;q23),del(4)(p14),del(6)(q14),t(9;22)(q34;q11),-13,add(16)(q24),del(18)(q21) [20]\", \"bbox\": [35, 59, 331, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [467, 62, 474, 67]}, {\"cell\": \"5\", \"bbox\": [1, 73, 6, 82]}, {\"cell\": \"46,XY,t(9;22)(q34;q11.2) [16] /46,sl,t(9;11)(p22;q23),i(17)(q10) [16]/47,sl,t(9;11)(p22;q23),+17 [2]\", \"bbox\": [35, 73, 328, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [467, 73, 474, 82]}, {\"cell\": \"6\", \"bbox\": [1, 87, 6, 96]}, {\"cell\": \"46,XY,t(9:22)(q34;q11.2) [9] /46,XY,der(9)t(9;18)(p22;q11.2),t(9;22)(q34;q11.2),der(11)t(9;11)(p22;q23),i(17)(q10),der(18)t(11;18)(q23;q11.2),der(22)t(9;22) [11]\", \"bbox\": [35, 87, 457, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [467, 87, 481, 96]}, {\"cell\": \"7\", \"bbox\": [1, 110, 6, 119]}, {\"cell\": \"46,XX,t(9;22)(q34;q11.2) [7] /46,XX,der(4)t(4;9;11)(p12;p22;q23),der(9)t(4;9;11)t(9;22)(q34;q11.2),der(11)t(4;9;11),der(22)t(9;22) [13]\", \"bbox\": [35, 110, 433, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [467, 110, 474, 119]}, {\"cell\": \"8\", \"bbox\": [1, 124, 6, 133]}, {\"cell\": \"50,XY,t(9;11)(p22;q23),t(9;22)(q34;q11.2),+13,+17,+22,+der(22)t(9;22) [20]\", \"bbox\": [35, 124, 263, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [467, 124, 474, 133]}, {\"cell\": \"9\", \"bbox\": [1, 138, 6, 147]}, {\"cell\": \"45,X,-Y,t(9;11)(p21;q23),t(9;22)(q34;q11.2) [8] /51,idem,+X,+6,+8,+21,+22,+der(22)t(9;22) [12]\", \"bbox\": [35, 138, 323, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [467, 138, 474, 147]}, {\"cell\": \"10\", \"bbox\": [1, 152, 10, 161]}, {\"cell\": \"46,XX,t(9;22)(q34;q11),t(11;19)(q23;p13) [15] /46,XX [4]\", \"bbox\": [35, 152, 206, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [467, 152, 474, 161]}, {\"cell\": \"11\", \"bbox\": [1, 166, 10, 175]}, {\"cell\": \"46,XY,t(11;17)(q23;q25) [20]\", \"bbox\": [35, 166, 122, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [467, 166, 474, 175]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4396174_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
OutcomeCriteria
Proteinuria (uPCI)HaematuriaSerum creatinineSerum albumin
Complete remission (CR)≤50 mg/mmol creatinine<10 RBC × 106/L + no RBC casts[EMPTY_CELL]≥35 g/L
Partial remission (PR)50% reduction in baseline or > 50 ≤ 300 mg/mmol creatinine>10 < 50 RBC × 106/L + no RBC casts[EMPTY_CELL]≥35 g/L
Nonremission (NR)No change or >300 mg/mmol creatinine≥50 < 150 RBC × 106/L ± RBC casts[EMPTY_CELL]<35 g/L
Relapse/flareIncrease after 4 weeks of CR/PRIncrease after 4 weeks of CR/PR[EMPTY_CELL]Decrease after 4 weeks of CR/PR
\", \"cells\": [{\"cell\": \"Outcome\", \"bbox\": [2, 10, 38, 21]}, {\"cell\": \"Criteria\", \"bbox\": [284, 5, 314, 15]}, {\"cell\": \"Proteinuria (uPCI)\", \"bbox\": [113, 19, 183, 30]}, {\"cell\": \"Haematuria\", \"bbox\": [232, 19, 277, 30]}, {\"cell\": \"Serum creatinine\", \"bbox\": [324, 19, 388, 30]}, {\"cell\": \"Serum albumin\", \"bbox\": [424, 19, 482, 30]}, {\"cell\": \"Complete remission (CR)\", \"bbox\": [2, 37, 96, 48]}, {\"cell\": \"≤50 mg/mmol creatinine\", \"bbox\": [103, 35, 194, 51]}, {\"cell\": \"<10 RBC × 106/L + no RBC casts\", \"bbox\": [205, 30, 304, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [324, 30, 388, 54]}, {\"cell\": \"≥35 g/L\", \"bbox\": [438, 35, 467, 51]}, {\"cell\": \"Partial remission (PR)\", \"bbox\": [2, 66, 84, 77]}, {\"cell\": \"50% reduction in baseline or > 50 ≤ 300 mg/mmol creatinine\", \"bbox\": [101, 57, 195, 89]}, {\"cell\": \">10 < 50 RBC × 106/L + no RBC casts\", \"bbox\": [205, 59, 304, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [324, 59, 388, 84]}, {\"cell\": \"≥35 g/L\", \"bbox\": [438, 64, 467, 80]}, {\"cell\": \"Nonremission (NR)\", \"bbox\": [2, 95, 76, 106]}, {\"cell\": \"No change or >300 mg/mmol creatinine\", \"bbox\": [100, 92, 196, 114]}, {\"cell\": \"≥50 < 150 RBC × 106/L ± RBC casts\", \"bbox\": [209, 88, 300, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [329, 94, 383, 109]}, {\"cell\": \"<35 g/L\", \"bbox\": [438, 94, 467, 109]}, {\"cell\": \"Relapse/flare\", \"bbox\": [2, 119, 50, 130]}, {\"cell\": \"Increase after 4 weeks of CR/PR\", \"bbox\": [104, 115, 193, 137]}, {\"cell\": \"Increase after 4 weeks of CR/PR\", \"bbox\": [210, 115, 299, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 115, 401, 137]}, {\"cell\": \"Decrease after 4 weeks of CR/PR\", \"bbox\": [407, 115, 499, 137]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4515289_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL][EMPTY_CELL]Current asthma
[EMPTY_CELL]Total (n = 6 003)Yes (n = 450)No (n = 5 553)
Municipality[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Urban4593 (76.5)337 (74.9)[EMPTY_CELL]
Rural1410 (23.5)113 (25.1)[EMPTY_CELL]
Female, n (%)3438 (57.3)282 (62.7)[EMPTY_CELL]
Age groups, n (%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
<18 years old716 (11.9)56 (12.4)[EMPTY_CELL]
18-65 years old3104 (51.7)211 (46.9)[EMPTY_CELL]
>65 years old2178 (36.3)183 (40.7)[EMPTY_CELL]
BMI†, n(%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Underweight (<18)253 ( 5.1)18 ( 4.9)[EMPTY_CELL]
Normal weight (18–25)2179 (43.9)140 (38.4)[EMPTY_CELL]
Overweight (25–30)1825 (36.7)128 (35.1)[EMPTY_CELL]
Obese (>30)710 (14.3)79 (21.6)[EMPTY_CELL]
Education level‡, n(%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
<9 years3907 (65.5)312 (69.6)[EMPTY_CELL]
9-12 years1175 (19.7)85 (19.0)[EMPTY_CELL]
>12 years732 (12.3)40 (8.9)[EMPTY_CELL]
SES††, n(%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Low1289 (22.0)111 (25.2)[EMPTY_CELL]
Medium4137 (71.1)1169 (21.7)[EMPTY_CELL]
High405 ( 7.0)23 ( 5.2)[EMPTY_CELL]
Smoking status, n(%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Non-smoker4291 (71.5)333 (74.0)[EMPTY_CELL]
Ex-smoker971 (16.2)71 (15.8)[EMPTY_CELL]
Current smoker741 (12.3)46 (10.2)[EMPTY_CELL]
Unit Packs-year, n(%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
≤10 Packs-year4799 (79.9)368 (82.3)[EMPTY_CELL]
>10 Packs-year1150 (19.2)79 (17.7)[EMPTY_CELL]
ETS‡‡, n(%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
No4843 (80.7)347 (77.1)[EMPTY_CELL]
Yes1160 (19.3)103 (22.9)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Current asthma\", \"bbox\": [368, 4, 424, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Total (n = 6 003)\", \"bbox\": [167, 17, 225, 27]}, {\"cell\": \"Yes (n = 450)\", \"bbox\": [307, 17, 353, 27]}, {\"cell\": \"No (n = 5 553)\", \"bbox\": [434, 17, 484, 27]}, {\"cell\": \"Municipality\", \"bbox\": [1, 30, 45, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Urban\", \"bbox\": [10, 44, 31, 54]}, {\"cell\": \"4593 (76.5)\", \"bbox\": [178, 44, 215, 54]}, {\"cell\": \"337 (74.9)\", \"bbox\": [315, 44, 348, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 44, 478, 54]}, {\"cell\": \"Rural\", \"bbox\": [10, 58, 28, 68]}, {\"cell\": \"1410 (23.5)\", \"bbox\": [178, 58, 215, 68]}, {\"cell\": \"113 (25.1)\", \"bbox\": [315, 58, 348, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 58, 478, 68]}, {\"cell\": \"Female, n (%)\", \"bbox\": [1, 72, 50, 82]}, {\"cell\": \"3438 (57.3)\", \"bbox\": [178, 72, 215, 82]}, {\"cell\": \"282 (62.7)\", \"bbox\": [315, 72, 348, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 72, 478, 82]}, {\"cell\": \"Age groups, n (%)\", \"bbox\": [1, 86, 65, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<18 years old\", \"bbox\": [10, 100, 55, 110]}, {\"cell\": \"716 (11.9)\", \"bbox\": [182, 100, 215, 110]}, {\"cell\": \"56 (12.4)\", \"bbox\": [319, 100, 348, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [445, 100, 478, 110]}, {\"cell\": \"18-65 years old\", \"bbox\": [10, 114, 61, 124]}, {\"cell\": \"3104 (51.7)\", \"bbox\": [178, 114, 215, 124]}, {\"cell\": \"211 (46.9)\", \"bbox\": [315, 114, 348, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 114, 478, 124]}, {\"cell\": \">65 years old\", \"bbox\": [10, 128, 55, 138]}, {\"cell\": \"2178 (36.3)\", \"bbox\": [178, 128, 215, 138]}, {\"cell\": \"183 (40.7)\", \"bbox\": [315, 128, 348, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 128, 478, 138]}, {\"cell\": \"BMI†, n(%)\", \"bbox\": [1, 141, 39, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Underweight (<18)\", \"bbox\": [10, 156, 73, 166]}, {\"cell\": \"253 ( 5.1)\", \"bbox\": [183, 156, 215, 166]}, {\"cell\": \"18 ( 4.9)\", \"bbox\": [320, 156, 348, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [446, 156, 478, 166]}, {\"cell\": \"Normal weight (18–25)\", \"bbox\": [10, 170, 86, 180]}, {\"cell\": \"2179 (43.9)\", \"bbox\": [178, 170, 215, 180]}, {\"cell\": \"140 (38.4)\", \"bbox\": [315, 170, 348, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 170, 478, 180]}, {\"cell\": \"Overweight (25–30)\", \"bbox\": [10, 184, 75, 194]}, {\"cell\": \"1825 (36.7)\", \"bbox\": [178, 184, 215, 194]}, {\"cell\": \"128 (35.1)\", \"bbox\": [315, 184, 348, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 184, 478, 194]}, {\"cell\": \"Obese (>30)\", \"bbox\": [10, 198, 51, 208]}, {\"cell\": \"710 (14.3)\", \"bbox\": [182, 198, 215, 208]}, {\"cell\": \"79 (21.6)\", \"bbox\": [319, 198, 348, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [445, 198, 478, 208]}, {\"cell\": \"Education level‡, n(%)\", \"bbox\": [1, 211, 78, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<9 years\", \"bbox\": [10, 226, 39, 236]}, {\"cell\": \"3907 (65.5)\", \"bbox\": [178, 226, 215, 236]}, {\"cell\": \"312 (69.6)\", \"bbox\": [315, 226, 348, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 226, 478, 236]}, {\"cell\": \"9-12 years\", \"bbox\": [10, 240, 44, 250]}, {\"cell\": \"1175 (19.7)\", \"bbox\": [178, 240, 215, 250]}, {\"cell\": \"85 (19.0)\", \"bbox\": [319, 240, 348, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 240, 478, 250]}, {\"cell\": \">12 years\", \"bbox\": [10, 254, 43, 264]}, {\"cell\": \"732 (12.3)\", \"bbox\": [182, 254, 215, 264]}, {\"cell\": \"40 (8.9)\", \"bbox\": [323, 254, 348, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [445, 254, 478, 264]}, {\"cell\": \"SES††, n(%)\", \"bbox\": [1, 267, 41, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Low\", \"bbox\": [10, 282, 25, 292]}, {\"cell\": \"1289 (22.0)\", \"bbox\": [178, 282, 215, 292]}, {\"cell\": \"111 (25.2)\", \"bbox\": [315, 282, 348, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 282, 478, 292]}, {\"cell\": \"Medium\", \"bbox\": [10, 296, 38, 306]}, {\"cell\": \"4137 (71.1)\", \"bbox\": [178, 296, 215, 306]}, {\"cell\": \"1169 (21.7)\", \"bbox\": [311, 296, 348, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 296, 478, 306]}, {\"cell\": \"High\", \"bbox\": [10, 310, 27, 320]}, {\"cell\": \"405 ( 7.0)\", \"bbox\": [183, 310, 215, 320]}, {\"cell\": \"23 ( 5.2)\", \"bbox\": [320, 310, 348, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [446, 310, 478, 320]}, {\"cell\": \"Smoking status, n(%)\", \"bbox\": [1, 324, 76, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Non-smoker\", \"bbox\": [10, 338, 51, 348]}, {\"cell\": \"4291 (71.5)\", \"bbox\": [178, 338, 215, 348]}, {\"cell\": \"333 (74.0)\", \"bbox\": [315, 338, 348, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 338, 478, 348]}, {\"cell\": \"Ex-smoker\", \"bbox\": [10, 352, 44, 362]}, {\"cell\": \"971 (16.2)\", \"bbox\": [182, 352, 215, 362]}, {\"cell\": \"71 (15.8)\", \"bbox\": [319, 352, 348, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [445, 352, 478, 362]}, {\"cell\": \"Current smoker\", \"bbox\": [10, 366, 61, 376]}, {\"cell\": \"741 (12.3)\", \"bbox\": [182, 366, 215, 376]}, {\"cell\": \"46 (10.2)\", \"bbox\": [319, 366, 348, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [445, 366, 478, 376]}, {\"cell\": \"Unit Packs-year, n(%)\", \"bbox\": [1, 380, 76, 390]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"≤10 Packs-year\", \"bbox\": [10, 394, 60, 404]}, {\"cell\": \"4799 (79.9)\", \"bbox\": [178, 394, 215, 404]}, {\"cell\": \"368 (82.3)\", \"bbox\": [315, 394, 348, 404]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 394, 478, 404]}, {\"cell\": \">10 Packs-year\", \"bbox\": [10, 408, 59, 418]}, {\"cell\": \"1150 (19.2)\", \"bbox\": [178, 408, 215, 418]}, {\"cell\": \"79 (17.7)\", \"bbox\": [319, 408, 348, 418]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 408, 478, 418]}, {\"cell\": \"ETS‡‡, n(%)\", \"bbox\": [1, 421, 41, 432]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No\", \"bbox\": [10, 436, 21, 446]}, {\"cell\": \"4843 (80.7)\", \"bbox\": [178, 436, 215, 446]}, {\"cell\": \"347 (77.1)\", \"bbox\": [315, 436, 348, 446]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 436, 478, 446]}, {\"cell\": \"Yes\", \"bbox\": [10, 450, 23, 460]}, {\"cell\": \"1160 (19.3)\", \"bbox\": [178, 450, 215, 460]}, {\"cell\": \"103 (22.9)\", \"bbox\": [315, 450, 348, 460]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 450, 478, 460]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3480869_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
CharacteristicDiabetic subjects No. (%)Total person-yearsa No. (%)
Exposure[EMPTY_CELL]8,966,252 (41.6)
Total POPs[EMPTY_CELL]7,112,176 (33.0)
Hudson POPs[EMPTY_CELL]2,871,808 (40.4)b
Other[EMPTY_CELL]5,491,372 (25.5)
Clean[EMPTY_CELL]8,966,252 (41.6)
Age (years)
65–74[EMPTY_CELL]2,771,652 (12.8)
55–64[EMPTY_CELL]3,194,612 (14.8)
45–54[EMPTY_CELL]4,485,828 (20.8)
35–44[EMPTY_CELL]5,778,532 (26.8)
25–34[EMPTY_CELL]5,339,176 (24.8)
Race
African American[EMPTY_CELL]1,487,372 (6.9)
Caucasian[EMPTY_CELL]20,082,428 (93.1)
Sex
Male[EMPTY_CELL]10,517,272 (48.8)
Female[EMPTY_CELL]11,052,528 (51.2)
Income (US$)
31,107.00–33,708.50[EMPTY_CELL]4,340,736 (20.1)
33,708.50–37,687.50[EMPTY_CELL]4,807,208 (22.3)
37,687.50–42,500.00[EMPTY_CELL]5,662,812 (26.3)
42,500.00–51,482.00 (reference)[EMPTY_CELL]6,759,044 (31.3)
\", \"cells\": [{\"cell\": \"Characteristic\", \"bbox\": [1, 14, 42, 24]}, {\"cell\": \"Diabetic subjects No. (%)\", \"bbox\": [146, 5, 198, 24]}, {\"cell\": \"Total person-yearsa No. (%)\", \"bbox\": [274, 4, 333, 24]}, {\"cell\": \"Exposure\", \"bbox\": [1, 27, 29, 37]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 27, 193, 37]}, {\"cell\": \"8,966,252 (41.6)\", \"bbox\": [281, 27, 329, 37]}, {\"cell\": \" Total POPs\", \"bbox\": [5, 36, 38, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 36, 193, 46]}, {\"cell\": \"7,112,176 (33.0)\", \"bbox\": [281, 36, 329, 46]}, {\"cell\": \" Hudson POPs\", \"bbox\": [5, 45, 45, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 44, 196, 55]}, {\"cell\": \"2,871,808 (40.4)b\", \"bbox\": [281, 44, 333, 55]}, {\"cell\": \" Other\", \"bbox\": [5, 54, 22, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 54, 193, 64]}, {\"cell\": \"5,491,372 (25.5)\", \"bbox\": [281, 54, 329, 64]}, {\"cell\": \" Clean\", \"bbox\": [5, 63, 23, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 63, 193, 73]}, {\"cell\": \"8,966,252 (41.6)\", \"bbox\": [281, 63, 329, 73]}, {\"cell\": \"Age (years)\", \"bbox\": [1, 72, 35, 82]}, {\"cell\": \" 65–74\", \"bbox\": [5, 81, 25, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 81, 193, 91]}, {\"cell\": \"2,771,652 (12.8)\", \"bbox\": [281, 81, 329, 91]}, {\"cell\": \" 55–64\", \"bbox\": [5, 90, 25, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 90, 193, 100]}, {\"cell\": \"3,194,612 (14.8)\", \"bbox\": [281, 90, 329, 100]}, {\"cell\": \" 45–54\", \"bbox\": [5, 99, 25, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 99, 193, 109]}, {\"cell\": \"4,485,828 (20.8)\", \"bbox\": [281, 99, 329, 109]}, {\"cell\": \" 35–44\", \"bbox\": [5, 108, 25, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 108, 189, 118]}, {\"cell\": \"5,778,532 (26.8)\", \"bbox\": [281, 108, 329, 118]}, {\"cell\": \" 25–34\", \"bbox\": [5, 117, 25, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 117, 189, 127]}, {\"cell\": \"5,339,176 (24.8)\", \"bbox\": [281, 117, 329, 127]}, {\"cell\": \"Race\", \"bbox\": [1, 126, 17, 136]}, {\"cell\": \" African American\", \"bbox\": [5, 135, 57, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 135, 193, 145]}, {\"cell\": \"1,487,372 (6.9)\", \"bbox\": [281, 135, 326, 145]}, {\"cell\": \" Caucasian\", \"bbox\": [5, 144, 36, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 144, 193, 154]}, {\"cell\": \"20,082,428 (93.1)\", \"bbox\": [278, 144, 329, 154]}, {\"cell\": \"Sex\", \"bbox\": [1, 153, 13, 163]}, {\"cell\": \" Male\", \"bbox\": [5, 162, 22, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 162, 193, 172]}, {\"cell\": \"10,517,272 (48.8)\", \"bbox\": [278, 162, 329, 172]}, {\"cell\": \" Female\", \"bbox\": [5, 171, 27, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 171, 193, 181]}, {\"cell\": \"11,052,528 (51.2)\", \"bbox\": [278, 171, 329, 181]}, {\"cell\": \"Income (US$)\", \"bbox\": [1, 180, 41, 190]}, {\"cell\": \" 31,107.00–33,708.50\", \"bbox\": [5, 189, 67, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 189, 193, 199]}, {\"cell\": \"4,340,736 (20.1)\", \"bbox\": [281, 189, 329, 199]}, {\"cell\": \" 33,708.50–37,687.50\", \"bbox\": [5, 198, 67, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 198, 193, 208]}, {\"cell\": \"4,807,208 (22.3)\", \"bbox\": [281, 198, 329, 208]}, {\"cell\": \" 37,687.50–42,500.00\", \"bbox\": [5, 207, 67, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 207, 193, 217]}, {\"cell\": \"5,662,812 (26.3)\", \"bbox\": [281, 207, 329, 217]}, {\"cell\": \" 42,500.00–51,482.00 (reference)\", \"bbox\": [5, 216, 100, 226]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 216, 193, 226]}, {\"cell\": \"6,759,044 (31.3)\", \"bbox\": [281, 216, 329, 226]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC1797837_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
ItemAbdominal plain X-rays (N=81)Abdominal ultrasound (N=96)X2P
Pneumatosis intestinalis00[EMPTY_CELL][EMPTY_CELL]
PVG05(5.2)[EMPTY_CELL][EMPTY_CELL]
Free intraperitoneal gas00[EMPTY_CELL][EMPTY_CELL]
Dilatation of intestine25(30.9)16(16.7)[EMPTY_CELL]0.086
Spasticity of intestinal loop2(2.5)/[EMPTY_CELL][EMPTY_CELL]
Reduced inflation of intestine25(30.9)24(25.0)[EMPTY_CELL]0.462
Bowel wall thickening23(28.4)16(16.7)[EMPTY_CELL]0.148
Slowed intestinal peristalsis/40(41.7)[EMPTY_CELL][EMPTY_CELL]
Disappearance of intestinal peristalsis/6(6.3)[EMPTY_CELL][EMPTY_CELL]
Ascites/0[EMPTY_CELL][EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Item\", \"bbox\": [9, 0, 27, 15]}, {\"cell\": \"Abdominal plain X-rays (N=81)\", \"bbox\": [174, 0, 264, 25]}, {\"cell\": \"Abdominal ultrasound (N=96)\", \"bbox\": [285, 0, 369, 25]}, {\"cell\": \"X2\", \"bbox\": [399, 0, 410, 15]}, {\"cell\": \"P\", \"bbox\": [451, 4, 458, 12]}, {\"cell\": \"Pneumatosis intestinalis\", \"bbox\": [9, 30, 107, 41]}, {\"cell\": \"0\", \"bbox\": [216, 30, 222, 41]}, {\"cell\": \"0\", \"bbox\": [321, 30, 327, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"PVG\", \"bbox\": [9, 42, 30, 53]}, {\"cell\": \"0\", \"bbox\": [216, 42, 222, 53]}, {\"cell\": \"5(5.2)\", \"bbox\": [312, 42, 336, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Free intraperitoneal gas\", \"bbox\": [9, 54, 105, 65]}, {\"cell\": \"0\", \"bbox\": [216, 54, 222, 65]}, {\"cell\": \"0\", \"bbox\": [321, 54, 327, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Dilatation of intestine\", \"bbox\": [9, 66, 97, 77]}, {\"cell\": \"25(30.9)\", \"bbox\": [202, 66, 235, 77]}, {\"cell\": \"16(16.7)\", \"bbox\": [307, 66, 340, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [394, 66, 416, 77]}, {\"cell\": \"0.086\", \"bbox\": [445, 66, 467, 77]}, {\"cell\": \"Spasticity of intestinal loop\", \"bbox\": [9, 78, 119, 89]}, {\"cell\": \"2(2.5)\", \"bbox\": [207, 78, 231, 89]}, {\"cell\": \"/\", \"bbox\": [320, 78, 328, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Reduced inflation of intestine\", \"bbox\": [9, 87, 128, 101]}, {\"cell\": \"25(30.9)\", \"bbox\": [202, 87, 235, 101]}, {\"cell\": \"24(25.0)\", \"bbox\": [307, 87, 340, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [394, 87, 416, 101]}, {\"cell\": \"0.462\", \"bbox\": [445, 87, 467, 101]}, {\"cell\": \"Bowel wall thickening\", \"bbox\": [9, 102, 100, 113]}, {\"cell\": \"23(28.4)\", \"bbox\": [202, 102, 235, 113]}, {\"cell\": \"16(16.7)\", \"bbox\": [307, 102, 340, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [394, 102, 416, 113]}, {\"cell\": \"0.148\", \"bbox\": [445, 102, 467, 113]}, {\"cell\": \"Slowed intestinal peristalsis\", \"bbox\": [9, 114, 122, 125]}, {\"cell\": \"/\", \"bbox\": [215, 114, 223, 125]}, {\"cell\": \"40(41.7)\", \"bbox\": [308, 114, 340, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Disappearance of intestinal peristalsis\", \"bbox\": [9, 126, 162, 137]}, {\"cell\": \"/\", \"bbox\": [215, 126, 223, 137]}, {\"cell\": \"6(6.3)\", \"bbox\": [312, 126, 336, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ascites\", \"bbox\": [9, 138, 39, 149]}, {\"cell\": \"/\", \"bbox\": [215, 138, 223, 149]}, {\"cell\": \"0\", \"bbox\": [321, 138, 327, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5103143_002_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Agent (μg/mouse)Day of agent administrationTumor weight (average ± SE) (mg)Body weight (average ± SE) (g)Heart weight (average ± SE) (mg)
[EMPTY_CELL]
[EMPTY_CELL]3491.1 ± 68.4**NDND
[EMPTY_CELL]30**NDND
[EMPTY_CELL]
[EMPTY_CELL]3384.8 ± 36.8**15.9 ± 5.1**99.8 ± 5.2*
[EMPTY_CELL]319.8 ± 7.2**18.9 ± 0.24**114.5 ± 3.6*
[EMPTY_CELL]
[EMPTY_CELL]3197.7 ± 22.9**18.5 ± 1.0123.2 ± 5.8
[EMPTY_CELL]32.5 ± 1.2**19.6 ± 0.3129.5 ± 3.5*
[EMPTY_CELL]379.3 ± 13.2**19.2 ± 0.2116.6 ± 3.4*
[EMPTY_CELL]
[EMPTY_CELL]10377.9 ± 13.3*16.1 ± 0.4*ND
[EMPTY_CELL]10188.6 ± 62.1*19.2 ± 0.5*ND
\", \"cells\": [{\"cell\": \"Agent (μg/mouse)\", \"bbox\": [1, 4, 65, 14]}, {\"cell\": \"Day of agent administration\", \"bbox\": [89, 4, 142, 23]}, {\"cell\": \"Tumor weight (average ± SE) (mg)\", \"bbox\": [165, 4, 235, 23]}, {\"cell\": \"Body weight (average ± SE) (g)\", \"bbox\": [259, 4, 356, 23]}, {\"cell\": \"Heart weight (average ± SE) (mg)\", \"bbox\": [383, 4, 482, 23]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 31, 166, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 43, 19, 53]}, {\"cell\": \"3\", \"bbox\": [89, 43, 95, 53]}, {\"cell\": \"491.1 ± 68.4**\", \"bbox\": [165, 43, 213, 53]}, {\"cell\": \"ND\", \"bbox\": [259, 43, 271, 53]}, {\"cell\": \"ND\", \"bbox\": [383, 43, 395, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 55, 45, 65]}, {\"cell\": \"3\", \"bbox\": [89, 55, 95, 65]}, {\"cell\": \"0**\", \"bbox\": [165, 55, 177, 65]}, {\"cell\": \"ND\", \"bbox\": [259, 55, 271, 65]}, {\"cell\": \"ND\", \"bbox\": [383, 55, 395, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 67, 166, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 80, 19, 89]}, {\"cell\": \"3\", \"bbox\": [89, 80, 95, 89]}, {\"cell\": \"384.8 ± 36.8**\", \"bbox\": [165, 80, 213, 89]}, {\"cell\": \"15.9 ± 5.1**\", \"bbox\": [259, 80, 299, 89]}, {\"cell\": \"99.8 ± 5.2*\", \"bbox\": [383, 80, 420, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 92, 45, 101]}, {\"cell\": \"3\", \"bbox\": [89, 92, 95, 101]}, {\"cell\": \"19.8 ± 7.2**\", \"bbox\": [165, 92, 205, 101]}, {\"cell\": \"18.9 ± 0.24**\", \"bbox\": [259, 92, 303, 101]}, {\"cell\": \"114.5 ± 3.6*\", \"bbox\": [383, 92, 424, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 104, 166, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 116, 19, 125]}, {\"cell\": \"3\", \"bbox\": [89, 116, 95, 125]}, {\"cell\": \"197.7 ± 22.9**\", \"bbox\": [165, 116, 213, 125]}, {\"cell\": \"18.5 ± 1.0\", \"bbox\": [259, 116, 293, 125]}, {\"cell\": \"123.2 ± 5.8\", \"bbox\": [383, 116, 421, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 128, 45, 137]}, {\"cell\": \"3\", \"bbox\": [89, 128, 95, 137]}, {\"cell\": \"2.5 ± 1.2**\", \"bbox\": [165, 128, 202, 137]}, {\"cell\": \"19.6 ± 0.3\", \"bbox\": [259, 128, 293, 137]}, {\"cell\": \"129.5 ± 3.5*\", \"bbox\": [383, 128, 424, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 140, 45, 150]}, {\"cell\": \"3\", \"bbox\": [89, 140, 95, 150]}, {\"cell\": \"79.3 ± 13.2**\", \"bbox\": [165, 140, 209, 150]}, {\"cell\": \"19.2 ± 0.2\", \"bbox\": [259, 140, 293, 150]}, {\"cell\": \"116.6 ± 3.4*\", \"bbox\": [383, 140, 424, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 152, 166, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 164, 19, 174]}, {\"cell\": \"10\", \"bbox\": [89, 164, 98, 174]}, {\"cell\": \"377.9 ± 13.3*\", \"bbox\": [165, 164, 210, 174]}, {\"cell\": \"16.1 ± 0.4*\", \"bbox\": [259, 164, 296, 174]}, {\"cell\": \"ND\", \"bbox\": [383, 164, 395, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 176, 45, 186]}, {\"cell\": \"10\", \"bbox\": [89, 176, 98, 186]}, {\"cell\": \"188.6 ± 62.1*\", \"bbox\": [165, 176, 210, 186]}, {\"cell\": \"19.2 ± 0.5*\", \"bbox\": [259, 176, 296, 186]}, {\"cell\": \"ND\", \"bbox\": [383, 176, 395, 186]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4769234_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Fraction(s)AccessionGene nameDescriptionMOWSEPeptides MatchedExample Peptides
3, 4AAD25091SAG1Surface antigen SAG1*[EMPTY_CELL]9K.EIPLESLLPGANDSWWSGVDIK.T; K.SVSSPEVYCTVQVEAER.A
3, 4AAX38598SRS2Surface protein SRS2**[EMPTY_CELL]9K.LLSEDDGLIVCNESDGEDECEK.N; R.LRPITVNPENNGVTLICGPDGK.A
3, 4AAG28489GRA2GRA2 protein[EMPTY_CELL]4R.GTVNGQPVGSGYSGYPR.G; R.ESMAAPEDLPGER.Q
3AAF19184MIC3Microneme protein Nc-MIC3[EMPTY_CELL]5K.NPMCYPTCEEMGGK.D; K.DAECVEDLNAGGSVR.C
3P90661DG1GRA7***[EMPTY_CELL]2K.LAVPVVGALTSYLVADR.V; R.VLPELTSAEEEGTESIPGK.K
4AAN16380NcMic11Microneme protein NcMIC11[EMPTY_CELL]2K.STAVEIFK.Q;K.AAIVEGVKPMLPK.L
\", \"cells\": [{\"cell\": \"Fraction(s)\", \"bbox\": [2, 4, 32, 22]}, {\"cell\": \"Accession\", \"bbox\": [38, 4, 74, 13]}, {\"cell\": \"Gene name\", \"bbox\": [86, 4, 107, 22]}, {\"cell\": \"Description\", \"bbox\": [140, 4, 182, 13]}, {\"cell\": \"MOWSE\", \"bbox\": [207, 4, 236, 13]}, {\"cell\": \"Peptides Matched\", \"bbox\": [253, 4, 284, 22]}, {\"cell\": \"Example Peptides\", \"bbox\": [361, 4, 425, 13]}, {\"cell\": \"3, 4\", \"bbox\": [11, 26, 24, 36]}, {\"cell\": \"AAD25091\", \"bbox\": [38, 26, 74, 36]}, {\"cell\": \"SAG1\", \"bbox\": [88, 26, 106, 34]}, {\"cell\": \"Surface antigen SAG1*\", \"bbox\": [124, 26, 198, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 26, 230, 36]}, {\"cell\": \"9\", \"bbox\": [266, 26, 271, 36]}, {\"cell\": \"K.EIPLESLLPGANDSWWSGVDIK.T; K.SVSSPEVYCTVQVEAER.A\", \"bbox\": [302, 26, 483, 44]}, {\"cell\": \"3, 4\", \"bbox\": [11, 47, 24, 56]}, {\"cell\": \"AAX38598\", \"bbox\": [39, 47, 74, 56]}, {\"cell\": \"SRS2\", \"bbox\": [88, 47, 105, 55]}, {\"cell\": \"Surface protein SRS2**\", \"bbox\": [124, 47, 198, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 47, 228, 56]}, {\"cell\": \"9\", \"bbox\": [266, 47, 271, 56]}, {\"cell\": \"K.LLSEDDGLIVCNESDGEDECEK.N; R.LRPITVNPENNGVTLICGPDGK.A\", \"bbox\": [336, 47, 449, 65]}, {\"cell\": \"3, 4\", \"bbox\": [11, 68, 24, 77]}, {\"cell\": \"AAG28489\", \"bbox\": [39, 68, 74, 77]}, {\"cell\": \"GRA2\", \"bbox\": [87, 68, 106, 76]}, {\"cell\": \"GRA2 protein\", \"bbox\": [139, 68, 183, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 68, 228, 77]}, {\"cell\": \"4\", \"bbox\": [266, 68, 271, 77]}, {\"cell\": \"R.GTVNGQPVGSGYSGYPR.G; R.ESMAAPEDLPGER.Q\", \"bbox\": [314, 68, 472, 77]}, {\"cell\": \"3\", \"bbox\": [14, 81, 20, 91]}, {\"cell\": \"AAF19184\", \"bbox\": [39, 81, 73, 91]}, {\"cell\": \"MIC3\", \"bbox\": [88, 81, 105, 89]}, {\"cell\": \"Microneme protein Nc-MIC3\", \"bbox\": [122, 81, 200, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 81, 228, 91]}, {\"cell\": \"5\", \"bbox\": [266, 81, 271, 91]}, {\"cell\": \"K.NPMCYPTCEEMGGK.D; K.DAECVEDLNAGGSVR.C\", \"bbox\": [314, 81, 471, 91]}, {\"cell\": \"3\", \"bbox\": [14, 102, 20, 111]}, {\"cell\": \"P90661\", \"bbox\": [44, 102, 69, 111]}, {\"cell\": \"DG1\", \"bbox\": [89, 102, 104, 110]}, {\"cell\": \"GRA7***\", \"bbox\": [147, 102, 175, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 102, 228, 111]}, {\"cell\": \"2\", \"bbox\": [266, 102, 271, 111]}, {\"cell\": \"K.LAVPVVGALTSYLVADR.V; R.VLPELTSAEEEGTESIPGK.K\", \"bbox\": [308, 102, 477, 111]}, {\"cell\": \"4\", \"bbox\": [14, 115, 20, 125]}, {\"cell\": \"AAN16380\", \"bbox\": [38, 115, 74, 125]}, {\"cell\": \"NcMic11\", \"bbox\": [82, 116, 111, 123]}, {\"cell\": \"Microneme protein NcMIC11\", \"bbox\": [129, 115, 193, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 115, 228, 125]}, {\"cell\": \"2\", \"bbox\": [266, 115, 271, 125]}, {\"cell\": \"K.STAVEIFK.Q;K.AAIVEGVKPMLPK.L\", \"bbox\": [360, 115, 425, 134]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3167765_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Physician reported barriers to diagnosisPhysician reported barriers to successful treatment
Doctors find diagnostic criteria confusing[EMPTY_CELL]
Insufficient consultation time for history, examination, peak flow measurement[EMPTY_CELL]
Organisation of care necessitates instant diagnosis (lack of continuity of care, leads to[EMPTY_CELL]
Organisation of care necessitates instant diagnosis (lack of continuity of care, leads to episodic approach cash payment and fee for service discourage repeat visits)[EMPTY_CELL]
Masking by respiratory tract infection and by oral bronchodilator syrup[EMPTY_CELL]
Stigmatised diagnosis[EMPTY_CELL]
High symptom tolerance in the community[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Physician reported barriers to diagnosis\", \"bbox\": [4, 5, 159, 14]}, {\"cell\": \"Physician reported barriers to successful treatment\", \"bbox\": [253, 5, 453, 14]}, {\"cell\": \"Doctors find diagnostic criteria confusing\", \"bbox\": [4, 27, 144, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [253, 27, 356, 36]}, {\"cell\": \"Insufficient consultation time for history, examination, peak flow measurement\", \"bbox\": [4, 37, 221, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [253, 37, 349, 47]}, {\"cell\": \"Organisation of care necessitates instant diagnosis (lack of continuity of care, leads to\", \"bbox\": [4, 56, 245, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [253, 56, 333, 66]}, {\"cell\": \"Organisation of care necessitates instant diagnosis (lack of continuity of care, leads to episodic approach cash payment and fee for service discourage repeat visits)\", \"bbox\": [4, 76, 245, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [253, 76, 346, 86]}, {\"cell\": \"Masking by respiratory tract infection and by oral bronchodilator syrup\", \"bbox\": [4, 105, 244, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [253, 105, 468, 114]}, {\"cell\": \"Stigmatised diagnosis\", \"bbox\": [4, 115, 76, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [253, 115, 379, 125]}, {\"cell\": \"High symptom tolerance in the community\", \"bbox\": [4, 125, 150, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [253, 125, 477, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [253, 145, 373, 154]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2200659_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Viral proteinPeptide sequenceNumber of peptides detectedSequence coverage (%)
Capsid C[EMPTY_CELL]111.00
Peptide pr[EMPTY_CELL]128.57
[EMPTY_CELL][EMPTY_CELL]1[EMPTY_CELL]
Membrane protein[EMPTY_CELL]158.67
M[EMPTY_CELL]1[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]1[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]1[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]1[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]2[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]2[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]2[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]1[EMPTY_CELL]
Envelope protein[EMPTY_CELL]144.00
E[EMPTY_CELL]1[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]1[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]1[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]1[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]1[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]3[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]2[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Viral protein\", \"bbox\": [1, 4, 41, 13]}, {\"cell\": \"Peptide sequence\", \"bbox\": [105, 4, 164, 13]}, {\"cell\": \"Number of peptides detected\", \"bbox\": [267, 4, 365, 13]}, {\"cell\": \"Sequence coverage (%)\", \"bbox\": [407, 4, 484, 13]}, {\"cell\": \"Capsid C\", \"bbox\": [1, 17, 31, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 17, 147, 27]}, {\"cell\": \"1\", \"bbox\": [267, 17, 273, 27]}, {\"cell\": \"11.00\", \"bbox\": [407, 17, 426, 27]}, {\"cell\": \"Peptide pr\", \"bbox\": [1, 31, 36, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 31, 218, 41]}, {\"cell\": \"1\", \"bbox\": [267, 31, 273, 41]}, {\"cell\": \"28.57\", \"bbox\": [407, 31, 426, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 45, 173, 55]}, {\"cell\": \"1\", \"bbox\": [267, 45, 273, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Membrane protein\", \"bbox\": [1, 59, 63, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 59, 137, 69]}, {\"cell\": \"1\", \"bbox\": [267, 59, 273, 69]}, {\"cell\": \"58.67\", \"bbox\": [407, 59, 426, 69]}, {\"cell\": \"M\", \"bbox\": [1, 73, 9, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 73, 193, 83]}, {\"cell\": \"1\", \"bbox\": [267, 73, 273, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 87, 225, 97]}, {\"cell\": \"1\", \"bbox\": [267, 87, 273, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 101, 150, 111]}, {\"cell\": \"1\", \"bbox\": [267, 101, 273, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 115, 147, 125]}, {\"cell\": \"1\", \"bbox\": [267, 115, 273, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 129, 191, 139]}, {\"cell\": \"2\", \"bbox\": [267, 129, 273, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 143, 159, 153]}, {\"cell\": \"2\", \"bbox\": [267, 143, 273, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 157, 208, 167]}, {\"cell\": \"2\", \"bbox\": [267, 157, 273, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 171, 155, 181]}, {\"cell\": \"1\", \"bbox\": [267, 171, 273, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Envelope protein\", \"bbox\": [1, 185, 57, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 185, 153, 195]}, {\"cell\": \"1\", \"bbox\": [267, 185, 273, 195]}, {\"cell\": \"44.00\", \"bbox\": [407, 185, 426, 195]}, {\"cell\": \"E\", \"bbox\": [1, 199, 6, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 199, 151, 209]}, {\"cell\": \"1\", \"bbox\": [267, 199, 273, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 213, 145, 223]}, {\"cell\": \"1\", \"bbox\": [267, 213, 273, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 227, 202, 237]}, {\"cell\": \"1\", \"bbox\": [267, 227, 273, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 241, 198, 251]}, {\"cell\": \"1\", \"bbox\": [267, 241, 273, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 255, 137, 265]}, {\"cell\": \"1\", \"bbox\": [267, 255, 273, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 269, 208, 279]}, {\"cell\": \"3\", \"bbox\": [267, 269, 273, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 283, 164, 293]}, {\"cell\": \"2\", \"bbox\": [267, 283, 273, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4647599_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariablesNo-HIV(n = 100)AHI(n = 110)CHI(n = 110)
[EMPTY_CELL]32.2 ± 9.031.5 ± 8.633.8 ± 6.2
[EMPTY_CELL]174.0 ± 5.1173.9 ± 4.6174.5 ± 6.0
[EMPTY_CELL]65.9 ± 11.463.9 ± 8.566.1 ± 10.9
[EMPTY_CELL]21.8 ± 3.621.1 ± 2.621.7 ± 3.4
[EMPTY_CELL]38 (38.0)29 (26.4)37 (33.6)
[EMPTY_CELL]45 (45.0)44 (40.0)52 (47.3)
[EMPTY_CELL]120.0 (114.6–122.7)114.5 (112.0–120.0)120.0 (116.0–126.1)
[EMPTY_CELL]80.0 (79.0–84.2)76.0 (72.0–78.2)83.6 (79.1–88.0)
[EMPTY_CELL]17 (17.0)10 (9.1)19 (17.3)
[EMPTY_CELL]4.59 (4.21–5.01)4.88 (4.47–5.27)5.13 (4.76–5.53)a
[EMPTY_CELL]NA65.0 (38.5–106.0)b631.0 (133.0–1135.0)
[EMPTY_CELL]NA404.0 (281.5–531.5)b173.0 (113.3–243.2)
[EMPTY_CELL]NA4.83 (4.43–5.27)4.66 (4.27–4.88)
\", \"cells\": [{\"cell\": \"Variables\", \"bbox\": [1, 4, 30, 13]}, {\"cell\": \"No-HIV(n = 100)\", \"bbox\": [156, 4, 185, 22]}, {\"cell\": \"AHI(n = 110)\", \"bbox\": [285, 4, 315, 22]}, {\"cell\": \"CHI(n = 110)\", \"bbox\": [418, 4, 448, 22]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 26, 38, 36]}, {\"cell\": \"32.2 ± 9.0\", \"bbox\": [156, 26, 187, 36]}, {\"cell\": \"31.5 ± 8.6\", \"bbox\": [285, 26, 317, 36]}, {\"cell\": \"33.8 ± 6.2\", \"bbox\": [418, 26, 450, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 40, 40, 50]}, {\"cell\": \"174.0 ± 5.1\", \"bbox\": [156, 40, 191, 50]}, {\"cell\": \"173.9 ± 4.6\", \"bbox\": [285, 40, 321, 50]}, {\"cell\": \"174.5 ± 6.0\", \"bbox\": [418, 40, 454, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 54, 40, 64]}, {\"cell\": \"65.9 ± 11.4\", \"bbox\": [156, 54, 191, 64]}, {\"cell\": \"63.9 ± 8.5\", \"bbox\": [285, 54, 317, 64]}, {\"cell\": \"66.1 ± 10.9\", \"bbox\": [418, 54, 454, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 66, 41, 78]}, {\"cell\": \"21.8 ± 3.6\", \"bbox\": [156, 68, 187, 78]}, {\"cell\": \"21.1 ± 2.6\", \"bbox\": [285, 68, 317, 78]}, {\"cell\": \"21.7 ± 3.4\", \"bbox\": [418, 68, 450, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 82, 83, 92]}, {\"cell\": \"38 (38.0)\", \"bbox\": [156, 82, 185, 92]}, {\"cell\": \"29 (26.4)\", \"bbox\": [285, 82, 314, 92]}, {\"cell\": \"37 (33.6)\", \"bbox\": [418, 82, 447, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 96, 79, 106]}, {\"cell\": \"45 (45.0)\", \"bbox\": [156, 96, 185, 106]}, {\"cell\": \"44 (40.0)\", \"bbox\": [285, 96, 314, 106]}, {\"cell\": \"52 (47.3)\", \"bbox\": [418, 96, 447, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 110, 43, 120]}, {\"cell\": \"120.0 (114.6–122.7)\", \"bbox\": [156, 110, 218, 120]}, {\"cell\": \"114.5 (112.0–120.0)\", \"bbox\": [285, 110, 348, 120]}, {\"cell\": \"120.0 (116.0–126.1)\", \"bbox\": [418, 110, 481, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 124, 45, 134]}, {\"cell\": \"80.0 (79.0–84.2)\", \"bbox\": [156, 124, 207, 134]}, {\"cell\": \"76.0 (72.0–78.2)\", \"bbox\": [285, 124, 336, 134]}, {\"cell\": \"83.6 (79.1–88.0)\", \"bbox\": [418, 124, 469, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 138, 65, 148]}, {\"cell\": \"17 (17.0)\", \"bbox\": [156, 138, 185, 148]}, {\"cell\": \"10 (9.1)\", \"bbox\": [285, 138, 311, 148]}, {\"cell\": \"19 (17.3)\", \"bbox\": [418, 138, 447, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 152, 47, 162]}, {\"cell\": \"4.59 (4.21–5.01)\", \"bbox\": [156, 152, 207, 162]}, {\"cell\": \"4.88 (4.47–5.27)\", \"bbox\": [285, 152, 336, 162]}, {\"cell\": \"5.13 (4.76–5.53)a\", \"bbox\": [418, 150, 472, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 166, 85, 176]}, {\"cell\": \"NA\", \"bbox\": [156, 166, 168, 176]}, {\"cell\": \"65.0 (38.5–106.0)b\", \"bbox\": [285, 164, 343, 176]}, {\"cell\": \"631.0 (133.0–1135.0)\", \"bbox\": [418, 166, 484, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 178, 89, 190]}, {\"cell\": \"NA\", \"bbox\": [156, 180, 168, 190]}, {\"cell\": \"404.0 (281.5–531.5)b\", \"bbox\": [285, 178, 351, 190]}, {\"cell\": \"173.0 (113.3–243.2)\", \"bbox\": [418, 180, 481, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 194, 58, 213]}, {\"cell\": \"NA\", \"bbox\": [156, 194, 168, 204]}, {\"cell\": \"4.83 (4.43–5.27)\", \"bbox\": [285, 194, 336, 204]}, {\"cell\": \"4.66 (4.27–4.88)\", \"bbox\": [418, 194, 469, 204]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5012071_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Obstetric FactorsTotalGBS cultureCOR (95% C.I)p-valueaAOR (95% C.I)p-valueb
GBS negativeN (%)GBS positiveN (%)
ANC visit
One times6[EMPTY_CELL]1(16.7)1.12 (0.13–10.1)0.917[EMPTY_CELL][EMPTY_CELL]
Two times37[EMPTY_CELL]5(13.5)0.88 (0.31–2.51)0.808[EMPTY_CELL][EMPTY_CELL]
Three times99[EMPTY_CELL]14(14.1)0.93 (0.45–1.92)0.836[EMPTY_CELL][EMPTY_CELL]
Four times139[EMPTY_CELL]21(14.6)1[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Type of Gravida
Primigravida88[EMPTY_CELL]14(15.9)1.16 (0.58–2.35)0.673[EMPTY_CELL][EMPTY_CELL]
Multigravida193[EMPTY_CELL]27(14)1[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Still birth
No268[EMPTY_CELL]40(14.9)1[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Yes13[EMPTY_CELL]1(7.7)0.48 (0.06–3.76)0.480[EMPTY_CELL][EMPTY_CELL]
Abortion
No211[EMPTY_CELL]31(14.7)1[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Yes70[EMPTY_CELL]10(14.3)0.97 (0.45–2.09)0.934[EMPTY_CELL][EMPTY_CELL]
HIV Infection
No256[EMPTY_CELL]35 (13.7)1[EMPTY_CELL]1[EMPTY_CELL]
Yes25[EMPTY_CELL]6 (24)1.99 (0.75–5.34)0.1702.8 (0.97–8.11)0.057
\", \"cells\": [{\"cell\": \"Obstetric Factors\", \"bbox\": [1, 4, 31, 22]}, {\"cell\": \"Total\", \"bbox\": [75, 4, 93, 13]}, {\"cell\": \"GBS culture\", \"bbox\": [118, 4, 157, 13]}, {\"cell\": \"COR (95% C.I)\", \"bbox\": [254, 4, 300, 13]}, {\"cell\": \"p-valuea\", \"bbox\": [331, 2, 358, 13]}, {\"cell\": \"AOR (95% C.I)\", \"bbox\": [384, 4, 430, 13]}, {\"cell\": \"p-valueb\", \"bbox\": [456, 2, 484, 13]}, {\"cell\": \"GBS negativeN (%)\", \"bbox\": [118, 17, 162, 36]}, {\"cell\": \"GBS positiveN (%)\", \"bbox\": [188, 17, 229, 36]}, {\"cell\": \"ANC visit\", \"bbox\": [0, 39, 31, 49]}, {\"cell\": \" One times\", \"bbox\": [8, 53, 44, 63]}, {\"cell\": \"6\", \"bbox\": [75, 53, 81, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [118, 53, 141, 63]}, {\"cell\": \"1(16.7)\", \"bbox\": [188, 53, 210, 63]}, {\"cell\": \"1.12 (0.13–10.1)\", \"bbox\": [254, 53, 305, 63]}, {\"cell\": \"0.917\", \"bbox\": [331, 53, 349, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Two times\", \"bbox\": [8, 67, 44, 77]}, {\"cell\": \"37\", \"bbox\": [75, 67, 85, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [118, 67, 145, 77]}, {\"cell\": \"5(13.5)\", \"bbox\": [188, 67, 210, 77]}, {\"cell\": \"0.88 (0.31–2.51)\", \"bbox\": [254, 67, 305, 77]}, {\"cell\": \"0.808\", \"bbox\": [331, 67, 349, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Three times\", \"bbox\": [8, 81, 48, 91]}, {\"cell\": \"99\", \"bbox\": [75, 81, 85, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [118, 81, 145, 91]}, {\"cell\": \"14(14.1)\", \"bbox\": [188, 81, 214, 91]}, {\"cell\": \"0.93 (0.45–1.92)\", \"bbox\": [254, 81, 305, 91]}, {\"cell\": \"0.836\", \"bbox\": [331, 81, 349, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Four times\", \"bbox\": [8, 95, 45, 105]}, {\"cell\": \"139\", \"bbox\": [75, 95, 89, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [118, 95, 148, 105]}, {\"cell\": \"21(14.6)\", \"bbox\": [188, 95, 214, 105]}, {\"cell\": \"1\", \"bbox\": [254, 95, 260, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Type of Gravida\", \"bbox\": [0, 109, 53, 119]}, {\"cell\": \" Primigravida\", \"bbox\": [8, 123, 50, 133]}, {\"cell\": \"88\", \"bbox\": [75, 123, 85, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [118, 123, 145, 133]}, {\"cell\": \"14(15.9)\", \"bbox\": [188, 123, 214, 133]}, {\"cell\": \"1.16 (0.58–2.35)\", \"bbox\": [254, 123, 305, 133]}, {\"cell\": \"0.673\", \"bbox\": [331, 123, 349, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Multigravida\", \"bbox\": [8, 137, 50, 147]}, {\"cell\": \"193\", \"bbox\": [75, 137, 89, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [118, 137, 143, 147]}, {\"cell\": \"27(14)\", \"bbox\": [188, 137, 209, 147]}, {\"cell\": \"1\", \"bbox\": [254, 137, 260, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Still birth\", \"bbox\": [0, 151, 31, 161]}, {\"cell\": \" No\", \"bbox\": [8, 165, 20, 175]}, {\"cell\": \"268\", \"bbox\": [75, 165, 89, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [118, 165, 148, 175]}, {\"cell\": \"40(14.9)\", \"bbox\": [188, 165, 214, 175]}, {\"cell\": \"1\", \"bbox\": [254, 165, 260, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Yes\", \"bbox\": [8, 179, 21, 189]}, {\"cell\": \"13\", \"bbox\": [75, 179, 85, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [118, 179, 145, 189]}, {\"cell\": \"1(7.7)\", \"bbox\": [188, 179, 207, 189]}, {\"cell\": \"0.48 (0.06–3.76)\", \"bbox\": [254, 179, 305, 189]}, {\"cell\": \"0.480\", \"bbox\": [331, 179, 349, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Abortion\", \"bbox\": [0, 193, 31, 203]}, {\"cell\": \" No\", \"bbox\": [8, 207, 20, 217]}, {\"cell\": \"211\", \"bbox\": [75, 207, 89, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [118, 207, 148, 217]}, {\"cell\": \"31(14.7)\", \"bbox\": [188, 207, 214, 217]}, {\"cell\": \"1\", \"bbox\": [254, 207, 260, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Yes\", \"bbox\": [8, 221, 21, 231]}, {\"cell\": \"70\", \"bbox\": [75, 221, 85, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [118, 221, 145, 231]}, {\"cell\": \"10(14.3)\", \"bbox\": [188, 221, 214, 231]}, {\"cell\": \"0.97 (0.45–2.09)\", \"bbox\": [254, 221, 305, 231]}, {\"cell\": \"0.934\", \"bbox\": [331, 221, 349, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"HIV Infection\", \"bbox\": [0, 235, 43, 245]}, {\"cell\": \" No\", \"bbox\": [8, 249, 20, 259]}, {\"cell\": \"256\", \"bbox\": [75, 249, 89, 259]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [118, 249, 148, 259]}, {\"cell\": \"35 (13.7)\", \"bbox\": [188, 249, 217, 259]}, {\"cell\": \"1\", \"bbox\": [254, 249, 260, 259]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [384, 249, 390, 259]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Yes\", \"bbox\": [8, 263, 21, 273]}, {\"cell\": \"25\", \"bbox\": [75, 263, 85, 273]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [118, 263, 142, 273]}, {\"cell\": \"6 (24)\", \"bbox\": [188, 263, 208, 273]}, {\"cell\": \"1.99 (0.75–5.34)\", \"bbox\": [254, 263, 305, 273]}, {\"cell\": \"0.170\", \"bbox\": [331, 263, 349, 273]}, {\"cell\": \"2.8 (0.97–8.11)\", \"bbox\": [384, 263, 431, 273]}, {\"cell\": \"0.057\", \"bbox\": [461, 263, 480, 273]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5935928_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]At the start of olmesartan therapy (baseline) (n=21 341)16 weeks (n=21 341)
Dose of olmesartan, mean±s.d. (mg per day)18.2±7.0[EMPTY_CELL]
0 (discontinuation)0 (0.0)[EMPTY_CELL]
0<−5 (mainly 5)502 (2.4)[EMPTY_CELL]
5<−10 (mainly 10)5450 (25.5)[EMPTY_CELL]
10<−20 (mainly 20)14 193 (66.5)[EMPTY_CELL]
20<−40 (mainly 40)1196 (5.6)[EMPTY_CELL]
Receiving concomitant antihypertensive agents8280 (38.8)[EMPTY_CELL]
Calcium channel blocker7245 (33.9)[EMPTY_CELL]
β-Blocker1276 (6.0)[EMPTY_CELL]
Diuretic961 (4.5)[EMPTY_CELL]
α-Blocker436 (2.0)[EMPTY_CELL]
Angiotensin-converting enzyme inhibitor309 (1.4)[EMPTY_CELL]
Angiotensin II receptor blocker160 (0.7)[EMPTY_CELL]
Other74 (0.3)[EMPTY_CELL]
No. of antihypertensive drugs (including olmesartan)1.5±0.7[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"At the start of olmesartan therapy (baseline) (n=21 341)\", \"bbox\": [137, 8, 184, 53]}, {\"cell\": \"16 weeks (n=21 341)\", \"bbox\": [197, 8, 239, 26]}, {\"cell\": \"Dose of olmesartan, mean±s.d. (mg per day)\", \"bbox\": [5, 61, 117, 79]}, {\"cell\": \"18.2±7.0\", \"bbox\": [144, 61, 178, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 61, 235, 70]}, {\"cell\": \"0 (discontinuation)\", \"bbox\": [5, 79, 71, 88]}, {\"cell\": \"0 (0.0)\", \"bbox\": [156, 79, 179, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 79, 236, 88]}, {\"cell\": \"0<−5 (mainly 5)\", \"bbox\": [5, 88, 68, 97]}, {\"cell\": \"502 (2.4)\", \"bbox\": [148, 88, 179, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 88, 236, 97]}, {\"cell\": \"5<−10 (mainly 10)\", \"bbox\": [5, 97, 76, 106]}, {\"cell\": \"5450 (25.5)\", \"bbox\": [143, 97, 183, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 97, 241, 106]}, {\"cell\": \"10<−20 (mainly 20)\", \"bbox\": [5, 106, 81, 115]}, {\"cell\": \"14 193 (66.5)\", \"bbox\": [138, 106, 183, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [195, 106, 241, 115]}, {\"cell\": \"20<−40 (mainly 40)\", \"bbox\": [5, 115, 81, 124]}, {\"cell\": \"1196 (5.6)\", \"bbox\": [143, 115, 179, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 115, 236, 124]}, {\"cell\": \"Receiving concomitant antihypertensive agents\", \"bbox\": [5, 123, 89, 142]}, {\"cell\": \"8280 (38.8)\", \"bbox\": [143, 123, 183, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 123, 241, 133]}, {\"cell\": \"Calcium channel blocker\", \"bbox\": [5, 141, 92, 151]}, {\"cell\": \"7245 (33.9)\", \"bbox\": [143, 141, 183, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 141, 241, 151]}, {\"cell\": \"β-Blocker\", \"bbox\": [5, 150, 38, 160]}, {\"cell\": \"1276 (6.0)\", \"bbox\": [143, 150, 179, 160]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 150, 236, 160]}, {\"cell\": \"Diuretic\", \"bbox\": [5, 159, 33, 169]}, {\"cell\": \"961 (4.5)\", \"bbox\": [148, 159, 179, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 159, 236, 169]}, {\"cell\": \"α-Blocker\", \"bbox\": [5, 168, 38, 178]}, {\"cell\": \"436 (2.0)\", \"bbox\": [148, 168, 179, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 168, 236, 178]}, {\"cell\": \"Angiotensin-converting enzyme inhibitor\", \"bbox\": [5, 177, 117, 196]}, {\"cell\": \"309 (1.4)\", \"bbox\": [148, 177, 179, 187]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 177, 236, 187]}, {\"cell\": \"Angiotensin II receptor blocker\", \"bbox\": [5, 195, 114, 205]}, {\"cell\": \"160 (0.7)\", \"bbox\": [148, 195, 179, 205]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 195, 236, 205]}, {\"cell\": \"Other\", \"bbox\": [5, 204, 26, 214]}, {\"cell\": \"74 (0.3)\", \"bbox\": [152, 204, 179, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 204, 236, 214]}, {\"cell\": \"No. of antihypertensive drugs (including olmesartan)\", \"bbox\": [5, 213, 109, 232]}, {\"cell\": \"1.5±0.7\", \"bbox\": [151, 213, 181, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [206, 213, 236, 223]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3831295_002_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariableBeta95 % CIp-value
Gender
Male vs. Female0.2638[EMPTY_CELL]<.0001
Age [years]
18–39 vs. 40–640.2786[EMPTY_CELL]<.0001
Over 65 vs. 40–640.1677[EMPTY_CELL]<.0001
BMI
Obese vs. Normal weight−0.2346[EMPTY_CELL]<.0001
Ethnicity
Asian vs. White−0.8009[EMPTY_CELL]0.0082
Smoking habits
Ex-Smoker vs. never-smoker0.0991[EMPTY_CELL]0.0075
Education
Graduate/Post Graduate vs. Primary or middle school0.3355[EMPTY_CELL]<.0001
High school vs. Primary or middle school0.2008[EMPTY_CELL]<.0001
Allergy to Inhalants
Yes vs. no−0.0942[EMPTY_CELL]0.0048
Psychological disturbances
Yes vs. no−0.5340[EMPTY_CELL]<.0001
Gastro-esophageal reflux
Yes vs. no−0.1626[EMPTY_CELL]0.0007
Respiratory infections
Yes vs. no−0.5875[EMPTY_CELL]<.0001
Congestive heart failure
Yes vs. no−0.6949[EMPTY_CELL]<.0001
\", \"cells\": [{\"cell\": \"Variable\", \"bbox\": [1, 4, 27, 13]}, {\"cell\": \"Beta\", \"bbox\": [108, 4, 123, 13]}, {\"cell\": \"95 % CI\", \"bbox\": [143, 4, 169, 13]}, {\"cell\": \"p-value\", \"bbox\": [211, 4, 236, 13]}, {\"cell\": \"Gender\", \"bbox\": [1, 17, 26, 27]}, {\"cell\": \" Male vs. Female\", \"bbox\": [8, 31, 61, 41]}, {\"cell\": \"0.2638\", \"bbox\": [112, 31, 135, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 31, 190, 41]}, {\"cell\": \"<.0001\", \"bbox\": [212, 31, 236, 41]}, {\"cell\": \"Age [years]\", \"bbox\": [1, 45, 38, 55]}, {\"cell\": \" 18–39 vs. 40–64\", \"bbox\": [8, 59, 62, 69]}, {\"cell\": \"0.2786\", \"bbox\": [112, 59, 135, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 59, 194, 69]}, {\"cell\": \"<.0001\", \"bbox\": [212, 59, 236, 69]}, {\"cell\": \" Over 65 vs. 40–64\", \"bbox\": [8, 73, 67, 83]}, {\"cell\": \"0.1677\", \"bbox\": [112, 73, 135, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 73, 194, 83]}, {\"cell\": \"<.0001\", \"bbox\": [212, 73, 236, 83]}, {\"cell\": \"BMI\", \"bbox\": [1, 87, 14, 97]}, {\"cell\": \" Obese vs. Normal weight\", \"bbox\": [8, 101, 91, 111]}, {\"cell\": \"−0.2346\", \"bbox\": [108, 101, 135, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 101, 203, 111]}, {\"cell\": \"<.0001\", \"bbox\": [212, 101, 236, 111]}, {\"cell\": \"Ethnicity\", \"bbox\": [1, 115, 30, 125]}, {\"cell\": \" Asian vs. White\", \"bbox\": [8, 129, 59, 139]}, {\"cell\": \"−0.8009\", \"bbox\": [108, 129, 135, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 129, 199, 139]}, {\"cell\": \"0.0082\", \"bbox\": [213, 129, 236, 139]}, {\"cell\": \"Smoking habits\", \"bbox\": [1, 143, 52, 153]}, {\"cell\": \" Ex-Smoker vs. never-smoker\", \"bbox\": [8, 157, 100, 167]}, {\"cell\": \"0.0991\", \"bbox\": [112, 157, 135, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 157, 194, 167]}, {\"cell\": \"0.0075\", \"bbox\": [213, 157, 236, 167]}, {\"cell\": \"Education\", \"bbox\": [1, 171, 34, 181]}, {\"cell\": \" Graduate/Post Graduate vs. Primary or middle school\", \"bbox\": [8, 185, 98, 204]}, {\"cell\": \"0.3355\", \"bbox\": [112, 185, 135, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 185, 194, 195]}, {\"cell\": \"<.0001\", \"bbox\": [212, 185, 236, 195]}, {\"cell\": \" High school vs. Primary or middle school\", \"bbox\": [8, 208, 94, 227]}, {\"cell\": \"0.2008\", \"bbox\": [112, 208, 135, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 208, 194, 218]}, {\"cell\": \"<.0001\", \"bbox\": [212, 208, 236, 218]}, {\"cell\": \"Allergy to Inhalants\", \"bbox\": [1, 231, 64, 241]}, {\"cell\": \" Yes vs. no\", \"bbox\": [8, 245, 42, 255]}, {\"cell\": \"−0.0942\", \"bbox\": [108, 245, 135, 255]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 245, 203, 255]}, {\"cell\": \"0.0048\", \"bbox\": [213, 245, 236, 255]}, {\"cell\": \"Psychological disturbances\", \"bbox\": [1, 259, 88, 269]}, {\"cell\": \" Yes vs. no\", \"bbox\": [8, 273, 42, 283]}, {\"cell\": \"−0.5340\", \"bbox\": [108, 273, 135, 283]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 273, 203, 283]}, {\"cell\": \"<.0001\", \"bbox\": [212, 273, 236, 283]}, {\"cell\": \"Gastro-esophageal reflux\", \"bbox\": [1, 287, 82, 297]}, {\"cell\": \" Yes vs. no\", \"bbox\": [8, 301, 42, 311]}, {\"cell\": \"−0.1626\", \"bbox\": [108, 301, 135, 311]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 301, 203, 311]}, {\"cell\": \"0.0007\", \"bbox\": [213, 301, 236, 311]}, {\"cell\": \"Respiratory infections\", \"bbox\": [1, 315, 71, 325]}, {\"cell\": \" Yes vs. no\", \"bbox\": [8, 329, 42, 339]}, {\"cell\": \"−0.5875\", \"bbox\": [108, 329, 135, 339]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 329, 203, 339]}, {\"cell\": \"<.0001\", \"bbox\": [212, 329, 236, 339]}, {\"cell\": \"Congestive heart failure\", \"bbox\": [1, 343, 78, 353]}, {\"cell\": \" Yes vs. no\", \"bbox\": [8, 357, 42, 367]}, {\"cell\": \"−0.6949\", \"bbox\": [108, 357, 135, 367]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 357, 203, 367]}, {\"cell\": \"<.0001\", \"bbox\": [212, 357, 236, 367]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4894377_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Comparison pairClass 1Class 2Class 3Class 4
Randomly report one alignment per read[EMPTY_CELL]96.25%3.41%0.34%0.002%
SOAP2 vs.BWA (5,656,559)[EMPTY_CELL]3.40%0.34%0.54%
Bowtie vs. BWA (5,637,504)[EMPTY_CELL]3.66%0.00002%0.54%
SOAP2 vs. Novoalign (5,757,260)[EMPTY_CELL]7.32%5.27%2.28%
Bowtie vs. Novoalign (5,748,724)[EMPTY_CELL]7.26%5.13%2.47%
BWA vs. Novoalign (5,835,451)[EMPTY_CELL]7.24%5.37%2.19%
Suppress reads with multiple alignments[EMPTY_CELL]95.78%0.00002%4.22%0.003%
[EMPTY_CELL][EMPTY_CELL]96.50%0.0005%2.75%0.75%
[EMPTY_CELL][EMPTY_CELL]97.76%0.00%0.0004%2.24%
[EMPTY_CELL][EMPTY_CELL]88.14%4.27%5.28%2.31%
[EMPTY_CELL][EMPTY_CELL]84.72%4.08%5.02%6.18%
[EMPTY_CELL][EMPTY_CELL]85.92%4.11%5.48%4.49%
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Comparison pair\", \"bbox\": [161, 4, 220, 13]}, {\"cell\": \"Class 1\", \"bbox\": [291, 4, 317, 13]}, {\"cell\": \"Class 2\", \"bbox\": [343, 4, 369, 13]}, {\"cell\": \"Class 3\", \"bbox\": [401, 4, 427, 13]}, {\"cell\": \"Class 4\", \"bbox\": [458, 4, 484, 13]}, {\"cell\": \"Randomly report one alignment per read\", \"bbox\": [1, 17, 135, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [161, 15, 260, 27]}, {\"cell\": \"96.25%\", \"bbox\": [292, 17, 317, 27]}, {\"cell\": \"3.41%\", \"bbox\": [343, 17, 364, 27]}, {\"cell\": \"0.34%\", \"bbox\": [401, 17, 421, 27]}, {\"cell\": \"0.002%\", \"bbox\": [459, 17, 484, 27]}, {\"cell\": \"SOAP2 vs.BWA (5,656,559)\", \"bbox\": [161, 31, 246, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [292, 31, 317, 41]}, {\"cell\": \"3.40%\", \"bbox\": [343, 31, 364, 41]}, {\"cell\": \"0.34%\", \"bbox\": [401, 31, 421, 41]}, {\"cell\": \"0.54%\", \"bbox\": [459, 31, 480, 41]}, {\"cell\": \"Bowtie vs. BWA (5,637,504)\", \"bbox\": [161, 45, 248, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [292, 45, 317, 55]}, {\"cell\": \"3.66%\", \"bbox\": [343, 45, 364, 55]}, {\"cell\": \"0.00002%\", \"bbox\": [401, 45, 433, 55]}, {\"cell\": \"0.54%\", \"bbox\": [459, 45, 480, 55]}, {\"cell\": \"SOAP2 vs. Novoalign (5,757,260)\", \"bbox\": [161, 59, 265, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [292, 59, 317, 69]}, {\"cell\": \"7.32%\", \"bbox\": [343, 59, 364, 69]}, {\"cell\": \"5.27%\", \"bbox\": [401, 59, 421, 69]}, {\"cell\": \"2.28%\", \"bbox\": [459, 59, 480, 69]}, {\"cell\": \"Bowtie vs. Novoalign (5,748,724)\", \"bbox\": [161, 73, 266, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [292, 73, 317, 83]}, {\"cell\": \"7.26%\", \"bbox\": [343, 73, 364, 83]}, {\"cell\": \"5.13%\", \"bbox\": [401, 73, 421, 83]}, {\"cell\": \"2.47%\", \"bbox\": [459, 73, 480, 83]}, {\"cell\": \"BWA vs. Novoalign (5,835,451)\", \"bbox\": [161, 87, 259, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [292, 87, 317, 97]}, {\"cell\": \"7.24%\", \"bbox\": [343, 87, 364, 97]}, {\"cell\": \"5.37%\", \"bbox\": [401, 87, 421, 97]}, {\"cell\": \"2.19%\", \"bbox\": [459, 87, 480, 97]}, {\"cell\": \"Suppress reads with multiple alignments\", \"bbox\": [1, 101, 133, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [161, 101, 255, 111]}, {\"cell\": \"95.78%\", \"bbox\": [292, 101, 317, 111]}, {\"cell\": \"0.00002%\", \"bbox\": [343, 101, 375, 111]}, {\"cell\": \"4.22%\", \"bbox\": [401, 101, 421, 111]}, {\"cell\": \"0.003%\", \"bbox\": [459, 101, 484, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [161, 115, 246, 125]}, {\"cell\": \"96.50%\", \"bbox\": [292, 115, 317, 125]}, {\"cell\": \"0.0005%\", \"bbox\": [343, 115, 371, 125]}, {\"cell\": \"2.75%\", \"bbox\": [401, 115, 421, 125]}, {\"cell\": \"0.75%\", \"bbox\": [459, 115, 480, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [161, 129, 248, 139]}, {\"cell\": \"97.76%\", \"bbox\": [292, 129, 317, 139]}, {\"cell\": \"0.00%\", \"bbox\": [343, 129, 364, 139]}, {\"cell\": \"0.0004%\", \"bbox\": [401, 129, 429, 139]}, {\"cell\": \"2.24%\", \"bbox\": [459, 129, 480, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [161, 143, 265, 153]}, {\"cell\": \"88.14%\", \"bbox\": [292, 143, 317, 153]}, {\"cell\": \"4.27%\", \"bbox\": [343, 143, 364, 153]}, {\"cell\": \"5.28%\", \"bbox\": [401, 143, 421, 153]}, {\"cell\": \"2.31%\", \"bbox\": [459, 143, 480, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [161, 157, 266, 167]}, {\"cell\": \"84.72%\", \"bbox\": [292, 157, 317, 167]}, {\"cell\": \"4.08%\", \"bbox\": [343, 157, 364, 167]}, {\"cell\": \"5.02%\", \"bbox\": [401, 157, 421, 167]}, {\"cell\": \"6.18%\", \"bbox\": [459, 157, 480, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [161, 171, 259, 181]}, {\"cell\": \"85.92%\", \"bbox\": [292, 171, 317, 181]}, {\"cell\": \"4.11%\", \"bbox\": [343, 171, 364, 181]}, {\"cell\": \"5.48%\", \"bbox\": [401, 171, 421, 181]}, {\"cell\": \"4.49%\", \"bbox\": [459, 171, 480, 181]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3414812_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
GroupNumber of studiesPooled RR (95% CI) Heterogeneity
I2P
Overall11[EMPTY_CELL]73.0%<0.001
Study design[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Cross-sectional studies and case-control study8[EMPTY_CELL]32.0%0.169
Cohort studies3[EMPTY_CELL]89.0%<0.001
Altitude[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
<3500 MASL2[EMPTY_CELL]25.0%0.922
≥3500 MASL9[EMPTY_CELL]78.0%<0.001
Quality assessment[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
NOS/aNOS = 57[EMPTY_CELL]23.0%0.253
NOS/aNOS = 6-74[EMPTY_CELL]87.0%<0.001
Type of participant[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Mountaineer7[EMPTY_CELL]23.0%0.253
Nonmountaineer4[EMPTY_CELL]87.0%<0.001
\", \"cells\": [{\"cell\": \"Group\", \"bbox\": [2, 10, 28, 20]}, {\"cell\": \"Number of studies\", \"bbox\": [197, 10, 265, 20]}, {\"cell\": \"Pooled RR (95% CI)\", \"bbox\": [286, 10, 361, 20]}, {\"cell\": \" Heterogeneity\", \"bbox\": [427, 4, 479, 15]}, {\"cell\": \"I2\", \"bbox\": [411, 14, 420, 30]}, {\"cell\": \"P\", \"bbox\": [479, 14, 486, 30]}, {\"cell\": \"Overall\", \"bbox\": [2, 31, 31, 42]}, {\"cell\": \"11\", \"bbox\": [227, 31, 235, 42]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 31, 351, 42]}, {\"cell\": \"73.0%\", \"bbox\": [404, 31, 427, 42]}, {\"cell\": \"<0.001\", \"bbox\": [470, 28, 496, 44]}, {\"cell\": \"Study design\", \"bbox\": [2, 45, 50, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Cross-sectional studies and case-control study\", \"bbox\": [11, 58, 179, 69]}, {\"cell\": \"8\", \"bbox\": [228, 58, 234, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 58, 352, 69]}, {\"cell\": \"32.0%\", \"bbox\": [404, 58, 427, 69]}, {\"cell\": \"0.169\", \"bbox\": [473, 58, 493, 69]}, {\"cell\": \" Cohort studies\", \"bbox\": [11, 71, 66, 82]}, {\"cell\": \"3\", \"bbox\": [228, 71, 234, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 71, 352, 82]}, {\"cell\": \"89.0%\", \"bbox\": [404, 71, 427, 82]}, {\"cell\": \"<0.001\", \"bbox\": [470, 68, 495, 83]}, {\"cell\": \"Altitude\", \"bbox\": [2, 84, 34, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" <3500 MASL\", \"bbox\": [11, 94, 61, 110]}, {\"cell\": \"2\", \"bbox\": [228, 98, 234, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 98, 351, 108]}, {\"cell\": \"25.0%\", \"bbox\": [404, 98, 427, 108]}, {\"cell\": \"0.922\", \"bbox\": [472, 98, 493, 108]}, {\"cell\": \" ≥3500 MASL\", \"bbox\": [11, 108, 61, 123]}, {\"cell\": \"9\", \"bbox\": [228, 111, 234, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 111, 352, 122]}, {\"cell\": \"78.0%\", \"bbox\": [404, 111, 427, 122]}, {\"cell\": \"<0.001\", \"bbox\": [470, 108, 495, 123]}, {\"cell\": \"Quality assessment\", \"bbox\": [2, 124, 73, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" NOS/aNOS = 5\", \"bbox\": [11, 137, 69, 148]}, {\"cell\": \"7\", \"bbox\": [228, 137, 234, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [297, 137, 350, 148]}, {\"cell\": \"23.0%\", \"bbox\": [404, 137, 427, 148]}, {\"cell\": \"0.253\", \"bbox\": [472, 137, 493, 148]}, {\"cell\": \" NOS/aNOS = 6-7\", \"bbox\": [11, 151, 77, 161]}, {\"cell\": \"4\", \"bbox\": [228, 151, 234, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [294, 151, 352, 161]}, {\"cell\": \"87.0%\", \"bbox\": [404, 151, 427, 161]}, {\"cell\": \"<0.001\", \"bbox\": [470, 147, 496, 163]}, {\"cell\": \"Type of participant\", \"bbox\": [2, 164, 73, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Mountaineer\", \"bbox\": [11, 177, 60, 188]}, {\"cell\": \"7\", \"bbox\": [228, 177, 234, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [297, 177, 350, 188]}, {\"cell\": \"23.0%\", \"bbox\": [404, 177, 427, 188]}, {\"cell\": \"0.253\", \"bbox\": [472, 177, 493, 188]}, {\"cell\": \" Nonmountaineer\", \"bbox\": [11, 190, 75, 201]}, {\"cell\": \"4\", \"bbox\": [228, 190, 234, 201]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [294, 190, 352, 201]}, {\"cell\": \"87.0%\", \"bbox\": [404, 190, 427, 201]}, {\"cell\": \"<0.001\", \"bbox\": [470, 187, 496, 203]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5702408_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Reference No.Name ofDatasetMSA-GAMSA-GAw/prealignClUSTAL W VDGA_ Decomp_2 VDGA_Decomp_3 VDGA_Decomp_4
[EMPTY_CELL]1idy0.4270.4380.5000.5500.6510.654
[EMPTY_CELL]1tvxA0.2950.2090.0420.3160.3160.310
[EMPTY_CELL]1uky0.4430.4050.3920.4160.4590.464
[EMPTY_CELL]Kinase0.2950.4880.4790.5310.5450.548
[EMPTY_CELL]1ped0.5010.6870.5920.4430.4820.451
[EMPTY_CELL]2myr0.2120.3020.2960.3470.3590.282
[EMPTY_CELL]1ycc0.6500.6530.6430.7520.8390.685
[EMPTY_CELL]3cyr0.7720.7890.7670.7970.8980.797
[EMPTY_CELL]1ad20.8210.8450.7730.9590.9500.941
[EMPTY_CELL]1ldg0.8950.9220.8800.9140.9460.903
[EMPTY_CELL]1fieA0.8430.9420.9320.9260.9600.927
[EMPTY_CELL]1sesA0.6200.9130.9130.9170.9620.923
[EMPTY_CELL]1krn0.9080.8950.8950.9420.9600.892
[EMPTY_CELL]2fxb0.9410.9850.9850.9780.9780.978
[EMPTY_CELL]1amk0.9650.9590.9450.9820.9840.982
[EMPTY_CELL]1ar5A0.8120.9460.9460.9420.9680.954
[EMPTY_CELL]1gpb0.8680.9480.9470.9760.9840.983
[EMPTY_CELL]1taq0.5250.8260.8260.9380.9590.944
[EMPTY_CELL]2pia0.7610.7680.7660.8470.8500.839
[EMPTY_CELL]1pamA0.7550.7580.7570.8570.8630.853
[EMPTY_CELL]Kinase0.580.6190.6190.8700.8900.887
[EMPTY_CELL]1pamA0.7030.7440.7430.8530.7880.792
[EMPTY_CELL]1dynA0.0380.0340.0000.0290.0330.031
[EMPTY_CELL]Kinase20.710.6350.6300.3300.5420.478
[EMPTY_CELL]2cba0.4220.6210.6280.8390.8350.846
[EMPTY_CELL]S510.5280.730.750.6500.7430.756
[EMPTY_CELL]0.6270.6950.6790.7270.7440.735
\", \"cells\": [{\"cell\": \"Reference No.\", \"bbox\": [5, 4, 55, 13]}, {\"cell\": \"Name ofDataset\", \"bbox\": [68, 4, 100, 22]}, {\"cell\": \"MSA-GA\", \"bbox\": [113, 4, 143, 13]}, {\"cell\": \"MSA-GAw/prealign\", \"bbox\": [156, 4, 195, 22]}, {\"cell\": \"ClUSTAL W\", \"bbox\": [208, 4, 248, 13]}, {\"cell\": \" VDGA_ Decomp_2\", \"bbox\": [261, 4, 327, 13]}, {\"cell\": \" VDGA_Decomp_3\", \"bbox\": [340, 4, 404, 13]}, {\"cell\": \" VDGA_Decomp_4\", \"bbox\": [417, 4, 480, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [20, 26, 40, 36]}, {\"cell\": \"1idy\", \"bbox\": [76, 26, 92, 36]}, {\"cell\": \"0.427\", \"bbox\": [119, 26, 137, 36]}, {\"cell\": \"0.438\", \"bbox\": [166, 26, 185, 36]}, {\"cell\": \"0.500\", \"bbox\": [219, 26, 238, 36]}, {\"cell\": \"0.550\", \"bbox\": [285, 26, 304, 36]}, {\"cell\": \"0.651\", \"bbox\": [363, 26, 381, 36]}, {\"cell\": \"0.654\", \"bbox\": [438, 26, 459, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1tvxA\", \"bbox\": [74, 39, 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379]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3180391_017_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Author (Year)Classen (2013) [20]Schover (2012) [30]Schover (2013) [31]Wootten (2014) [32]
[EMPTY_CELL]YYYY
[EMPTY_CELL]YYYY
[EMPTY_CELL]RCTRCTRCTRCT
[EMPTY_CELL]YYYY
[EMPTY_CELL]YNNN
[EMPTY_CELL]YYYY
[EMPTY_CELL]Cronbach’s α were reportedCronbach’s α were reportedCronbach’s α were reported
[EMPTY_CELL]YYYY
[EMPTY_CELL]IIEF: validated in 32 languagesFSFI: reported convergent and discriminant validityBSI-18: incremental validityA-DAS: discriminant validityFSFI: reported convergent and discriminantMSIQ: construct validityBSI-18: incremental validityQLACS: convergent validityIIEF: validated in 32 languagesDASS-21: convergent validityKMS & DSC: discriminant validity
[EMPTY_CELL]YYYY
[EMPTY_CELL]YYYY
[EMPTY_CELL]YYYY
[EMPTY_CELL]YYYY
[EMPTY_CELL]YYYY
[EMPTY_CELL]YYYY
[EMPTY_CELL]YYYY
[EMPTY_CELL]YYYY
\", \"cells\": [{\"cell\": \"Author (Year)\", \"bbox\": [1, 4, 45, 13]}, {\"cell\": \"Classen (2013) [20]\", \"bbox\": [128, 4, 164, 22]}, {\"cell\": \"Schover (2012) [30]\", \"bbox\": [240, 4, 276, 22]}, {\"cell\": \"Schover (2013) [31]\", \"bbox\": [311, 4, 346, 22]}, {\"cell\": \"Wootten (2014) [32]\", \"bbox\": [403, 4, 439, 22]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 26, 104, 45]}, {\"cell\": \"Y\", \"bbox\": [128, 26, 134, 36]}, {\"cell\": \"Y\", \"bbox\": [240, 26, 246, 36]}, {\"cell\": \"Y\", \"bbox\": [311, 26, 317, 36]}, {\"cell\": \"Y\", \"bbox\": [404, 26, 410, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 49, 115, 77]}, {\"cell\": \"Y\", \"bbox\": [128, 49, 134, 59]}, {\"cell\": \"Y\", \"bbox\": [240, 49, 246, 59]}, {\"cell\": \"Y\", \"bbox\": [311, 49, 317, 59]}, {\"cell\": \"Y\", \"bbox\": [404, 49, 410, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 81, 25, 91]}, {\"cell\": \"RCT\", \"bbox\": [128, 81, 142, 91]}, {\"cell\": \"RCT\", \"bbox\": [240, 81, 255, 91]}, {\"cell\": \"RCT\", \"bbox\": [311, 81, 325, 91]}, {\"cell\": \"RCT\", \"bbox\": [404, 81, 418, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 95, 118, 114]}, {\"cell\": \"Y\", \"bbox\": [128, 95, 134, 105]}, {\"cell\": \"Y\", \"bbox\": [240, 95, 246, 105]}, {\"cell\": \"Y\", \"bbox\": [311, 95, 317, 105]}, {\"cell\": \"Y\", \"bbox\": [404, 95, 410, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 118, 85, 137]}, {\"cell\": \"Y\", \"bbox\": [128, 118, 134, 128]}, {\"cell\": \"N\", \"bbox\": [240, 118, 248, 128]}, {\"cell\": \"N\", \"bbox\": [311, 118, 318, 128]}, {\"cell\": \"N\", \"bbox\": [404, 118, 411, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 141, 124, 160]}, {\"cell\": \"Y\", \"bbox\": [128, 141, 134, 151]}, {\"cell\": \"Y\", \"bbox\": [240, 141, 246, 151]}, {\"cell\": \"Y\", \"bbox\": [311, 141, 317, 151]}, {\"cell\": \"Y\", \"bbox\": [404, 141, 410, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [128, 155, 220, 165]}, {\"cell\": \"Cronbach’s α were reported\", \"bbox\": [240, 155, 288, 174]}, {\"cell\": \"Cronbach’s α were reported\", \"bbox\": [311, 155, 358, 174]}, {\"cell\": \"Cronbach’s α were reported\", \"bbox\": [403, 155, 451, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 178, 121, 206]}, {\"cell\": \"Y\", \"bbox\": [128, 178, 134, 188]}, {\"cell\": \"Y\", \"bbox\": [240, 178, 246, 188]}, {\"cell\": \"Y\", \"bbox\": [311, 178, 317, 188]}, {\"cell\": \"Y\", \"bbox\": [403, 178, 409, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [128, 192, 236, 211]}, {\"cell\": \"IIEF: validated in 32 languagesFSFI: reported convergent and discriminant validityBSI-18: incremental validityA-DAS: discriminant validity\", \"bbox\": [240, 192, 306, 274]}, {\"cell\": \"FSFI: reported convergent and discriminantMSIQ: construct validityBSI-18: incremental validityQLACS: convergent validity\", \"bbox\": [311, 192, 399, 238]}, {\"cell\": \"IIEF: validated in 32 languagesDASS-21: convergent validityKMS & DSC: discriminant validity\", \"bbox\": [403, 192, 484, 247]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 278, 120, 297]}, {\"cell\": \"Y\", \"bbox\": [128, 278, 134, 288]}, {\"cell\": \"Y\", \"bbox\": [240, 278, 246, 288]}, {\"cell\": \"Y\", \"bbox\": [311, 278, 317, 288]}, {\"cell\": \"Y\", \"bbox\": [403, 278, 409, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 301, 118, 329]}, {\"cell\": \"Y\", \"bbox\": [128, 301, 134, 311]}, {\"cell\": \"Y\", \"bbox\": [240, 301, 246, 311]}, {\"cell\": \"Y\", \"bbox\": [311, 301, 317, 311]}, {\"cell\": \"Y\", \"bbox\": [403, 301, 409, 311]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 333, 95, 352]}, {\"cell\": \"Y\", \"bbox\": [128, 333, 134, 343]}, {\"cell\": \"Y\", \"bbox\": [240, 333, 246, 343]}, {\"cell\": \"Y\", \"bbox\": [311, 333, 317, 343]}, {\"cell\": \"Y\", \"bbox\": [403, 333, 409, 343]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 356, 110, 384]}, {\"cell\": \"Y\", \"bbox\": [128, 356, 134, 366]}, {\"cell\": \"Y\", \"bbox\": [240, 356, 246, 366]}, {\"cell\": \"Y\", \"bbox\": [311, 356, 317, 366]}, {\"cell\": \"Y\", \"bbox\": [403, 356, 409, 366]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 388, 93, 416]}, {\"cell\": \"Y\", \"bbox\": [128, 388, 134, 398]}, {\"cell\": \"Y\", \"bbox\": [240, 388, 246, 398]}, {\"cell\": \"Y\", \"bbox\": [311, 388, 317, 398]}, {\"cell\": \"Y\", \"bbox\": [403, 388, 409, 398]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 420, 111, 439]}, {\"cell\": \"Y\", \"bbox\": [128, 420, 134, 430]}, {\"cell\": \"Y\", \"bbox\": [240, 420, 246, 430]}, {\"cell\": \"Y\", \"bbox\": [311, 420, 317, 430]}, {\"cell\": \"Y\", \"bbox\": [403, 420, 409, 430]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 443, 86, 462]}, {\"cell\": \"Y\", \"bbox\": [128, 443, 134, 453]}, {\"cell\": \"Y\", \"bbox\": [240, 443, 246, 453]}, {\"cell\": \"Y\", \"bbox\": [311, 443, 317, 453]}, {\"cell\": \"Y\", \"bbox\": [403, 443, 409, 453]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 466, 118, 494]}, {\"cell\": \"Y\", \"bbox\": [128, 466, 134, 476]}, {\"cell\": \"Y\", \"bbox\": [240, 466, 246, 476]}, {\"cell\": \"Y\", \"bbox\": [311, 466, 317, 476]}, {\"cell\": \"Y\", \"bbox\": [403, 466, 409, 476]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5842558_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
ParametersMeaningPrior distributionReferences and/or explanation
T[EMPTY_CELL]1 to 2,500Between 0 and 65,000 years (estimation of the spread of modern humans in East Asia [5]), each generation representing 25 years
A[EMPTY_CELL]10 to 50Numbers of HLA−A, −B and −DRB1 lineages vary between 10 and 40 in East Asian samples (from data listed in Additional file 1: Table S1)
N[EMPTY_CELL]0 to 5,000According to the estimation of hunter-gatherer densities at the end of Paleolithic (0-0.4 individuals per km2 [18]
m[EMPTY_CELL]0.01 to 0.20Between 1 % and 20 % of emigration per generation [18]
r[EMPTY_CELL]0.01 to 0.20According to the estimation of growth rate for Paleolithic populations [18]
s[EMPTY_CELL]0 to 0.025Selection rate higher than 2.5 % was tested by preliminary simulations but it never lead to the reproduction of observed data [40–42]
\", \"cells\": [{\"cell\": \"Parameters\", \"bbox\": [1, 4, 36, 13]}, {\"cell\": \"Meaning\", \"bbox\": [45, 4, 75, 13]}, {\"cell\": \"Prior distribution\", \"bbox\": [194, 4, 249, 13]}, {\"cell\": \"References and/or explanation\", \"bbox\": [258, 4, 358, 13]}, {\"cell\": \"T\", \"bbox\": [1, 17, 6, 25]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [45, 17, 178, 36]}, {\"cell\": \"1 to 2,500\", \"bbox\": [194, 17, 228, 27]}, {\"cell\": \"Between 0 and 65,000 years (estimation of the spread of modern humans in East Asia [5]), each generation representing 25 years\", \"bbox\": [258, 17, 470, 36]}, {\"cell\": \"A\", \"bbox\": [1, 40, 7, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [45, 40, 174, 59]}, {\"cell\": \"10 to 50\", \"bbox\": [194, 40, 223, 50]}, {\"cell\": \"Numbers of HLA−A, −B and −DRB1 lineages vary between 10 and 40 in East Asian samples (from data listed in Additional file 1: Table S1)\", \"bbox\": [258, 40, 478, 59]}, {\"cell\": \"N\", \"bbox\": [1, 63, 7, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [45, 63, 185, 73]}, {\"cell\": \"0 to 5,000\", \"bbox\": [194, 63, 228, 73]}, {\"cell\": \"According to the estimation of hunter-gatherer densities at the end of Paleolithic (0-0.4 individuals per km2 [18]\", \"bbox\": [258, 63, 478, 82]}, {\"cell\": \"m\", \"bbox\": [1, 86, 9, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [45, 86, 173, 96]}, {\"cell\": \"0.01 to 0.20\", \"bbox\": [194, 86, 233, 96]}, {\"cell\": \"Between 1 % and 20 % of emigration per generation [18]\", \"bbox\": [258, 86, 445, 96]}, {\"cell\": \"r\", \"bbox\": [1, 100, 5, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [45, 100, 166, 110]}, {\"cell\": \"0.01 to 0.20\", \"bbox\": [194, 100, 233, 110]}, {\"cell\": \"According to the estimation of growth rate for Paleolithic populations [18]\", \"bbox\": [258, 100, 484, 110]}, {\"cell\": \"s\", \"bbox\": [1, 114, 5, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [45, 114, 154, 124]}, {\"cell\": \"0 to 0.025\", \"bbox\": [194, 114, 228, 124]}, {\"cell\": \"Selection rate higher than 2.5 % was tested by preliminary simulations but it never lead to the reproduction of observed data [40–42]\", \"bbox\": [258, 114, 472, 133]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4632674_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Region45°–90°90° side45° side
PP (KPa)Total−2.19 (−22.12–17.74)−26.82 (−75.97–22.34)[EMPTY_CELL]
M1−44.35 (−86.53–−2.17)∗57.47 (3.49–111.45)#13.12 (−34.62–60.85)
M2−54.07 (−106.29–−1.86)∗68.10 (1.86–134.34)#14.02 (−39.82–67.86)
M366.98 (8.65–125.32)∗−106.72 (−178.99–−34.46)#−39.74 (−100.35–20.87)
M41.56 (−20.48–23.59)−14.96 (−51.61–21.69)−13.41 (−38.34–11.52)
M5−21.24 (−67.60–25.12)−27.49 (−114.63–59.65)−48.73 (−119.95–22.50)
M661.66 (17.70–105.63)∗−101.56 (−164.43–−38.70)#−39.90 (−99.01–19.21)
M72.46 (−18.13–23.05)11.23 (−22.59–45.05)13.69 (−7.60–34.97)
M8−40.64 (−99.27–17.99)46.57 (−3.56–96.70)5.93 (−36.99–48.85)
M9−3.06 (−49.56–43.45)51.50 (−4.70–107.69)48.44 (4.21–92.67)†
MF (%BW)Total6.81 (−12.37–25.98)−33.08 (−62.18–−3.98)#[EMPTY_CELL]
M1−11.07 (−20.37–−1.76)∗15.90 (4.200–27.590)#4.83 (−9.07–18.72)
M2−14.56 (−23.93–−5.19)∗11.73 (−.89–24.36)−2.83 (−13.16–7.50)
M312.22 (5.68–18.76)∗−28.64 (−41.26–−16.03)#−16.42 (−24.18–−8.66)†
M4−2.78 (−7.79–2.22).174 (−5.80–6.15)−2.61 (−6.89–1.68)
M5−5.93 (−11.16–.69)−.094 (−8.70–8.51)−6.019 (−12.36–.32)
M69.30 (5.79–12.81)∗−17.07 (−23.27–−10.87)#−7.77 (−13.55–−1.99)†
M7−.12 (−4.60–4.36)2.16 (−3.95–8.28)2.04 (−2.64–6.73)
M8−5.31 (−10.98–.373)6.93 (2.34–11.52)#1.62 (−2.66–5.91)
M9−1.09 (−6.08–3.91)7.421 (.35–14.49)#6.334 (.14–12.53)†
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Region\", \"bbox\": [80, 4, 108, 15]}, {\"cell\": \"45°–90°\", \"bbox\": [176, 0, 206, 15]}, {\"cell\": \"90° side\", \"bbox\": [309, 0, 339, 15]}, {\"cell\": \"45° side\", \"bbox\": [440, 0, 470, 15]}, {\"cell\": \"PP (KPa)\", \"bbox\": [2, 68, 38, 79]}, {\"cell\": \"Total\", \"bbox\": [84, 16, 104, 27]}, {\"cell\": \"−2.19 (−22.12–17.74)\", \"bbox\": [155, 13, 227, 28]}, {\"cell\": \"−26.82 (−75.97–22.34)\", \"bbox\": [283, 13, 365, 28]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [417, 13, 493, 28]}, {\"cell\": \"M1\", \"bbox\": [88, 28, 101, 38]}, {\"cell\": \"−44.35 (−86.53–−2.17)∗\", \"bbox\": [148, 24, 234, 40]}, {\"cell\": \"57.47 (3.49–111.45)#\", \"bbox\": [288, 25, 358, 40]}, {\"cell\": \"13.12 (−34.62–60.85)\", \"bbox\": [417, 25, 492, 40]}, {\"cell\": \"M2\", \"bbox\": [87, 40, 101, 50]}, {\"cell\": \"−54.07 (−106.29–−1.86)∗\", \"bbox\": [146, 35, 236, 52]}, {\"cell\": \"68.10 (1.86–134.34)#\", \"bbox\": [287, 36, 359, 52]}, {\"cell\": \"14.02 (−39.82–67.86)\", \"bbox\": [418, 36, 492, 52]}, {\"cell\": \"M3\", \"bbox\": [87, 51, 101, 62]}, {\"cell\": \"66.98 (8.65–125.32)∗\", \"bbox\": [154, 47, 228, 64]}, {\"cell\": \"−106.72 (−178.99–−34.46)#\", \"bbox\": [275, 48, 372, 64]}, {\"cell\": \"−39.74 (−100.35–20.87)\", \"bbox\": [412, 48, 497, 64]}, {\"cell\": \"M4\", \"bbox\": [87, 63, 101, 74]}, {\"cell\": \"1.56 (−20.48–23.59)\", \"bbox\": [155, 60, 227, 75]}, {\"cell\": \"−14.96 (−51.61–21.69)\", \"bbox\": [285, 60, 363, 75]}, {\"cell\": \"−13.41 (−38.34–11.52)\", \"bbox\": [416, 60, 493, 75]}, {\"cell\": \"M5\", \"bbox\": [87, 75, 101, 85]}, {\"cell\": \"−21.24 (−67.60–25.12)\", \"bbox\": [152, 72, 231, 87]}, {\"cell\": \"−27.49 (−114.63–59.65)\", \"bbox\": [282, 72, 365, 87]}, {\"cell\": \"−48.73 (−119.95–22.50)\", \"bbox\": [413, 72, 497, 87]}, {\"cell\": \"M6\", \"bbox\": [87, 87, 101, 97]}, {\"cell\": \"61.66 (17.70–105.63)∗\", \"bbox\": [153, 82, 229, 99]}, {\"cell\": \"−101.56 (−164.43–−38.70)#\", \"bbox\": [275, 83, 371, 99]}, {\"cell\": \"−39.90 (−99.01–19.21)\", \"bbox\": [416, 83, 494, 99]}, {\"cell\": \"M7\", \"bbox\": [87, 98, 101, 109]}, {\"cell\": \"2.46 (−18.13–23.05)\", \"bbox\": [156, 95, 226, 111]}, {\"cell\": \"11.23 (−22.59–45.05)\", \"bbox\": [286, 95, 361, 111]}, {\"cell\": \"13.69 (−7.60–34.97)\", \"bbox\": [419, 95, 490, 111]}, {\"cell\": \"M8\", \"bbox\": [87, 110, 101, 121]}, {\"cell\": \"−40.64 (−99.27–17.99)\", \"bbox\": [151, 107, 232, 122]}, {\"cell\": \"46.57 (−3.56–96.70)\", \"bbox\": [287, 107, 360, 122]}, {\"cell\": \"5.93 (−36.99–48.85)\", \"bbox\": [418, 107, 491, 122]}, {\"cell\": \"M9\", \"bbox\": [87, 122, 101, 133]}, {\"cell\": \"−3.06 (−49.56–43.45)\", \"bbox\": [152, 119, 230, 134]}, {\"cell\": \"51.50 (−4.70–107.69)\", \"bbox\": [287, 119, 361, 134]}, {\"cell\": \"48.44 (4.21–92.67)†\", \"bbox\": [419, 118, 490, 134]}, {\"cell\": \"MF (%BW)\", \"bbox\": [2, 186, 46, 197]}, {\"cell\": \"Total\", \"bbox\": [84, 134, 104, 145]}, {\"cell\": \"6.81 (−12.37–25.98)\", \"bbox\": [156, 131, 226, 146]}, {\"cell\": \"−33.08 (−62.18–−3.98)#\", \"bbox\": [281, 131, 366, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [411, 130, 498, 146]}, {\"cell\": \"M1\", \"bbox\": [88, 146, 101, 156]}, {\"cell\": \"−11.07 (−20.37–−1.76)∗\", \"bbox\": [149, 141, 233, 158]}, {\"cell\": \"15.90 (4.200–27.590)#\", \"bbox\": [285, 143, 362, 158]}, {\"cell\": \"4.83 (−9.07–18.72)\", \"bbox\": [421, 143, 488, 158]}, {\"cell\": \"M2\", \"bbox\": [87, 157, 101, 168]}, {\"cell\": \"−14.56 (−23.93–−5.19)∗\", \"bbox\": [149, 153, 233, 170]}, {\"cell\": \"11.73 (−.89–24.36)\", \"bbox\": [291, 154, 357, 170]}, {\"cell\": \"−2.83 (−13.16–7.50)\", \"bbox\": [420, 154, 490, 170]}, {\"cell\": \"M3\", \"bbox\": [87, 169, 101, 180]}, {\"cell\": \"12.22 (5.68–18.76)∗\", \"bbox\": [157, 165, 225, 181]}, {\"cell\": \"−28.64 (−41.26–−16.03)#\", \"bbox\": [279, 166, 368, 181]}, {\"cell\": \"−16.42 (−24.18–−8.66)†\", \"bbox\": [412, 165, 497, 181]}, {\"cell\": \"M4\", \"bbox\": [87, 181, 101, 192]}, {\"cell\": \"−2.78 (−7.79–2.22)\", \"bbox\": [157, 178, 225, 193]}, {\"cell\": \".174 (−5.80–6.15)\", \"bbox\": [293, 178, 355, 193]}, {\"cell\": \"−2.61 (−6.89–1.68)\", \"bbox\": [421, 178, 489, 193]}, {\"cell\": \"M5\", \"bbox\": [87, 193, 101, 203]}, {\"cell\": \"−5.93 (−11.16–.69)\", \"bbox\": [158, 190, 224, 205]}, {\"cell\": \"−.094 (−8.70–8.51)\", \"bbox\": [289, 190, 358, 205]}, {\"cell\": \"−6.019 (−12.36–.32)\", \"bbox\": [419, 190, 491, 205]}, {\"cell\": \"M6\", \"bbox\": [87, 205, 101, 215]}, {\"cell\": \"9.30 (5.79–12.81)∗\", \"bbox\": [159, 200, 223, 217]}, {\"cell\": \"−17.07 (−23.27–−10.87)#\", \"bbox\": [280, 201, 367, 217]}, {\"cell\": \"−7.77 (−13.55–−1.99)†\", \"bbox\": [415, 200, 494, 217]}, {\"cell\": \"M7\", \"bbox\": [87, 216, 101, 227]}, {\"cell\": \"−.12 (−4.60–4.36)\", \"bbox\": [159, 213, 224, 228]}, {\"cell\": \"2.16 (−3.95–8.28)\", \"bbox\": [292, 213, 355, 228]}, {\"cell\": \"2.04 (−2.64–6.73)\", \"bbox\": [422, 213, 487, 228]}, {\"cell\": \"M8\", \"bbox\": [87, 228, 101, 239]}, {\"cell\": \"−5.31 (−10.98–.373)\", \"bbox\": [156, 225, 227, 240]}, {\"cell\": \"6.93 (2.34–11.52)#\", \"bbox\": [292, 225, 355, 240]}, {\"cell\": \"1.62 (−2.66–5.91)\", \"bbox\": [424, 225, 486, 240]}, {\"cell\": \"M9\", \"bbox\": [87, 240, 101, 250]}, {\"cell\": \"−1.09 (−6.08–3.91)\", \"bbox\": [157, 237, 225, 252]}, {\"cell\": \"7.421 (.35–14.49)#\", \"bbox\": [292, 237, 355, 252]}, {\"cell\": \"6.334 (.14–12.53)†\", \"bbox\": [423, 236, 486, 252]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5941807_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Target groups per villageData collection activities
[EMPTY_CELL][EMPTY_CELL]
One group of caregivers and one group of iCCM-trained VHT members(Activities conducted separately with each group)[EMPTY_CELL]
Health service venn diagram: identified all available health service providers and organisations within and beyond the village, including external sources of power or influence; explored the relative importance of various actors; mapped relationships that influence health service delivery and uptake
Historical matrices: explored changes pre and post-iCCM introduction in demographic factors, livelihood assets (human, financial, natural and physical capital) and available health services, gathering a detailed description of the dynamic, transitional nature of peri-urban environments
Health service delivery matrices: explored relationships influencing service delivery and uptake (covering iCCM implementation, process, results), gathering perceptions of various trends over time related to health service delivery and uptake
Problem and solution ranking: participants first identified and prioritised problems related to iCCM, and then discussed and ranked potential interventions to address the identified problems
[EMPTY_CELL][EMPTY_CELL]
Community leaders[EMPTY_CELL]
Non-iCCM VHT members[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Target groups per village\", \"bbox\": [1, 4, 83, 13]}, {\"cell\": \"Data collection activities\", \"bbox\": [170, 4, 249, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 17, 403, 27]}, {\"cell\": \"One group of caregivers and one group of iCCM-trained VHT members(Activities conducted separately with each group)\", \"bbox\": [1, 31, 162, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 31, 484, 59]}, {\"cell\": \"Health service venn diagram: identified all available health service providers and organisations within and beyond the village, including external sources of power or influence; explored the relative importance of various actors; mapped relationships that influence health service delivery and uptake\", \"bbox\": [170, 63, 481, 100]}, {\"cell\": \"Historical matrices: explored changes pre and post-iCCM introduction in demographic factors, livelihood assets (human, financial, natural and physical capital) and available health services, gathering a detailed description of the dynamic, transitional nature of peri-urban environments\", \"bbox\": [170, 104, 477, 132]}, {\"cell\": \"Health service delivery matrices: explored relationships influencing service delivery and uptake (covering iCCM implementation, process, results), gathering perceptions of various trends over time related to health service delivery and uptake\", \"bbox\": [170, 136, 475, 164]}, {\"cell\": \"Problem and solution ranking: participants first identified and prioritised problems related to iCCM, and then discussed and ranked potential interventions to address the identified problems\", \"bbox\": [170, 168, 481, 187]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 191, 247, 201]}, {\"cell\": \"Community leaders\", \"bbox\": [1, 205, 65, 215]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 205, 484, 242]}, {\"cell\": \"Non-iCCM VHT members\", \"bbox\": [1, 246, 83, 256]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 246, 453, 265]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5706411_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Stage48 hr Post‐injection96 hr Post‐injection
[EMPTY_CELL]Secretion−6.5% (P = 0.09)−4.2% (P = 0.5)
[EMPTY_CELL]−4.3% (P = 0.5)−3.7% (P = 0.2)
[EMPTY_CELL]−6.0% (P = 0.1)−18.8% (P < 0.0001)
[EMPTY_CELL]Secretion+5.9% (P = 0.2)−0.1% (P = 0.9)
[EMPTY_CELL]−1.8% (P = 0.06)−8.5% (P = 0.006)
[EMPTY_CELL]−9.0% (P = 0.004)−10.6% (P = 0.009)
[EMPTY_CELL]SecretionNoMid secretion
[EMPTY_CELL]NoYes round
[EMPTY_CELL]NoYes round
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Stage\", \"bbox\": [158, 2, 179, 12]}, {\"cell\": \"48 hr Post‐injection\", \"bbox\": [266, 2, 333, 12]}, {\"cell\": \"96 hr Post‐injection\", \"bbox\": [391, 2, 458, 12]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 15, 47, 25]}, {\"cell\": \"Secretion\", \"bbox\": [159, 15, 191, 25]}, {\"cell\": \"−6.5% (P = 0.09)\", \"bbox\": [267, 15, 328, 25]}, {\"cell\": \"−4.2% (P = 0.5)\", \"bbox\": [395, 15, 453, 25]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 33, 212, 42]}, {\"cell\": \"−4.3% (P = 0.5)\", \"bbox\": [267, 33, 324, 42]}, {\"cell\": \"−3.7% (P = 0.2)\", \"bbox\": [395, 33, 453, 42]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 49, 210, 59]}, {\"cell\": \"−6.0% (P = 0.1)\", \"bbox\": [267, 49, 324, 59]}, {\"cell\": \"−18.8% (P < 0.0001)\", \"bbox\": [391, 49, 465, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 67, 53, 77]}, {\"cell\": \"Secretion\", \"bbox\": [159, 67, 191, 77]}, {\"cell\": \"+5.9% (P = 0.2)\", \"bbox\": [267, 67, 323, 77]}, {\"cell\": \"−0.1% (P = 0.9)\", \"bbox\": [395, 67, 453, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 83, 212, 93]}, {\"cell\": \"−1.8% (P = 0.06)\", \"bbox\": [267, 83, 328, 93]}, {\"cell\": \"−8.5% (P = 0.006)\", \"bbox\": [395, 83, 461, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 101, 210, 111]}, {\"cell\": \"−9.0% (P = 0.004)\", \"bbox\": [267, 101, 332, 111]}, {\"cell\": \"−10.6% (P = 0.009)\", \"bbox\": [391, 101, 461, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 117, 104, 127]}, {\"cell\": \"Secretion\", \"bbox\": [159, 117, 191, 127]}, {\"cell\": \"No\", \"bbox\": [267, 117, 278, 127]}, {\"cell\": \"Mid secretion\", \"bbox\": [391, 117, 437, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 135, 212, 145]}, {\"cell\": \"No\", \"bbox\": [267, 135, 278, 145]}, {\"cell\": \"Yes round\", \"bbox\": [391, 135, 426, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 151, 210, 161]}, {\"cell\": \"No\", \"bbox\": [267, 151, 278, 161]}, {\"cell\": \"Yes round\", \"bbox\": [391, 151, 426, 161]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5824403_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]UnivariateMultivariate
HR (95% CI)p-valueHR (95% CI)p-value
Tumor size (cm)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
<5Ref[EMPTY_CELL]Ref[EMPTY_CELL]
≥51.78(1.05-3)[EMPTY_CELL]1.83(1.06-3.17)0.031
PVTT[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
NoRef[EMPTY_CELL]Ref[EMPTY_CELL]
Yes2.25(1.36-3.73)[EMPTY_CELL]1.31(0.63-2.72)0.472
Extrahepatic metastasis[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
NoRef[EMPTY_CELL]Ref[EMPTY_CELL]
Yes2.09(1.22-3.58)[EMPTY_CELL]0.94(0.43-2.05)0.881
Duration of sorafenib treatment0.9(0.87-0.93)[EMPTY_CELL]0.9(0.87-0.93)<0.001
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Univariate\", \"bbox\": [177, 6, 224, 16]}, {\"cell\": \"Multivariate\", \"bbox\": [371, 6, 427, 16]}, {\"cell\": \"HR (95% CI)\", \"bbox\": [121, 22, 180, 33]}, {\"cell\": \"p-value\", \"bbox\": [233, 22, 267, 33]}, {\"cell\": \"HR (95% CI)\", \"bbox\": [320, 22, 379, 33]}, {\"cell\": \"p-value\", \"bbox\": [432, 22, 465, 33]}, {\"cell\": \"Tumor size (cm)\", \"bbox\": [3, 37, 72, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" <5\", \"bbox\": [13, 54, 26, 69]}, {\"cell\": \"Ref\", \"bbox\": [142, 54, 159, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ref\", \"bbox\": [341, 54, 358, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" ≥5\", \"bbox\": [13, 71, 26, 86]}, {\"cell\": \"1.78(1.05-3)\", \"bbox\": [125, 71, 177, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [238, 71, 262, 86]}, {\"cell\": \"1.83(1.06-3.17)\", \"bbox\": [317, 71, 382, 86]}, {\"cell\": \"0.031\", \"bbox\": [437, 71, 461, 86]}, {\"cell\": \"PVTT\", \"bbox\": [3, 87, 30, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" No\", \"bbox\": [13, 104, 28, 120]}, {\"cell\": \"Ref\", \"bbox\": [142, 104, 159, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ref\", \"bbox\": [341, 104, 358, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Yes\", \"bbox\": [13, 125, 30, 134]}, {\"cell\": \"2.25(1.36-3.73)\", \"bbox\": [118, 121, 183, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [238, 121, 262, 136]}, {\"cell\": \"1.31(0.63-2.72)\", \"bbox\": [317, 121, 382, 136]}, {\"cell\": \"0.472\", \"bbox\": [437, 121, 461, 136]}, {\"cell\": \"Extrahepatic metastasis\", \"bbox\": [3, 138, 56, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" No\", \"bbox\": [13, 167, 28, 182]}, {\"cell\": \"Ref\", \"bbox\": [142, 167, 159, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ref\", \"bbox\": [341, 167, 358, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Yes\", \"bbox\": [13, 188, 30, 196]}, {\"cell\": \"2.09(1.22-3.58)\", \"bbox\": [118, 184, 183, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [238, 184, 262, 199]}, {\"cell\": \"0.94(0.43-2.05)\", \"bbox\": [317, 184, 382, 199]}, {\"cell\": \"0.881\", \"bbox\": [437, 184, 461, 199]}, {\"cell\": \"Duration of sorafenib treatment\", \"bbox\": [3, 201, 92, 228]}, {\"cell\": \"0.9(0.87-0.93)\", \"bbox\": [121, 207, 180, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 207, 265, 222]}, {\"cell\": \"0.9(0.87-0.93)\", \"bbox\": [320, 207, 379, 222]}, {\"cell\": \"<0.001\", \"bbox\": [434, 207, 464, 222]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5347807_006_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
SegmentProtein EncodingG+C Content (%)ORF Length (bp)Predicted Protein Length (aa)% Pairwise Identity with CORV (nt/aa)
1VP1 (Pol)40.838731290[EMPTY_CELL]
2VP2 (T2)41.82850949[EMPTY_CELL]
3VP3 (OC1)42.22217738[EMPTY_CELL]
4NS1 (TuP)48.01770589[EMPTY_CELL]
5VP5 (OC2)45.31584527[EMPTY_CELL]
6VP4 (Cap)44.41932643[EMPTY_CELL]
7NS2 (ViP)46.21116371[EMPTY_CELL]
8VP7 (T13)46.81065352[EMPTY_CELL]
9VP6 (Hel)/NS446.01035344[EMPTY_CELL]
10NS3/NS3a46.7717238[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Segment\", \"bbox\": [9, 21, 46, 32]}, {\"cell\": \"Protein Encoding\", \"bbox\": [66, 16, 107, 38]}, {\"cell\": \"G+C Content (%)\", \"bbox\": [125, 16, 182, 38]}, {\"cell\": \"ORF Length (bp)\", \"bbox\": [194, 16, 246, 38]}, {\"cell\": \"Predicted Protein Length (aa)\", \"bbox\": [261, 16, 334, 38]}, {\"cell\": \"% Pairwise Identity with CORV (nt/aa)\", \"bbox\": [348, 16, 430, 38]}, {\"cell\": \"1\", \"bbox\": [24, 43, 31, 54]}, {\"cell\": \"VP1 (Pol)\", \"bbox\": [67, 43, 107, 54]}, {\"cell\": \"40.8\", \"bbox\": [145, 43, 162, 54]}, {\"cell\": \"3873\", \"bbox\": [210, 43, 230, 54]}, {\"cell\": \"1290\", \"bbox\": [287, 43, 307, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [369, 43, 408, 54]}, {\"cell\": \"2\", \"bbox\": [24, 54, 31, 65]}, {\"cell\": \"VP2 (T2)\", \"bbox\": [69, 54, 105, 65]}, {\"cell\": \"41.8\", \"bbox\": [145, 54, 162, 65]}, {\"cell\": \"2850\", \"bbox\": [210, 54, 230, 65]}, {\"cell\": \"949\", \"bbox\": [289, 54, 305, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [369, 54, 408, 65]}, {\"cell\": \"3\", \"bbox\": [24, 65, 31, 76]}, {\"cell\": \"VP3 (OC1)\", \"bbox\": [65, 65, 109, 76]}, {\"cell\": \"42.2\", \"bbox\": [145, 65, 162, 76]}, {\"cell\": \"2217\", \"bbox\": [210, 65, 230, 76]}, {\"cell\": \"738\", \"bbox\": [289, 65, 305, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [369, 65, 408, 76]}, {\"cell\": \"4\", \"bbox\": [24, 76, 31, 87]}, {\"cell\": \"NS1 (TuP)\", \"bbox\": [66, 76, 108, 87]}, {\"cell\": \"48.0\", \"bbox\": [145, 76, 162, 87]}, {\"cell\": \"1770\", \"bbox\": [210, 76, 230, 87]}, {\"cell\": \"589\", \"bbox\": [289, 76, 305, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [369, 76, 408, 87]}, {\"cell\": \"5\", \"bbox\": [24, 87, 31, 98]}, {\"cell\": \"VP5 (OC2)\", \"bbox\": [65, 87, 109, 98]}, {\"cell\": \"45.3\", \"bbox\": [145, 87, 162, 98]}, {\"cell\": \"1584\", \"bbox\": [210, 87, 230, 98]}, {\"cell\": \"527\", \"bbox\": [289, 87, 305, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [369, 87, 408, 98]}, {\"cell\": \"6\", \"bbox\": [24, 98, 31, 109]}, {\"cell\": \"VP4 (Cap)\", \"bbox\": [65, 98, 108, 109]}, {\"cell\": \"44.4\", \"bbox\": [145, 98, 162, 109]}, {\"cell\": \"1932\", \"bbox\": [210, 98, 230, 109]}, {\"cell\": \"643\", \"bbox\": [289, 98, 305, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [369, 98, 408, 109]}, {\"cell\": \"7\", \"bbox\": [24, 109, 31, 120]}, {\"cell\": \"NS2 (ViP)\", \"bbox\": [66, 109, 107, 120]}, {\"cell\": \"46.2\", \"bbox\": [145, 109, 162, 120]}, {\"cell\": \"1116\", \"bbox\": [210, 109, 230, 120]}, {\"cell\": \"371\", \"bbox\": [289, 109, 305, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [369, 109, 408, 120]}, {\"cell\": \"8\", \"bbox\": [24, 120, 31, 131]}, {\"cell\": \"VP7 (T13)\", \"bbox\": [66, 120, 107, 131]}, {\"cell\": \"46.8\", \"bbox\": [145, 120, 162, 131]}, {\"cell\": \"1065\", \"bbox\": [210, 120, 230, 131]}, {\"cell\": \"352\", \"bbox\": [289, 120, 305, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [369, 120, 408, 131]}, {\"cell\": \"9\", \"bbox\": [24, 136, 31, 147]}, {\"cell\": \"VP6 (Hel)/NS4\", \"bbox\": [64, 131, 109, 153]}, {\"cell\": \"46.0\", \"bbox\": [145, 136, 162, 147]}, {\"cell\": \"1035\", \"bbox\": [210, 136, 230, 147]}, {\"cell\": \"344\", \"bbox\": [289, 136, 305, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [369, 136, 408, 147]}, {\"cell\": \"10\", \"bbox\": [22, 153, 33, 164]}, {\"cell\": \"NS3/NS3a\", \"bbox\": [64, 153, 109, 164]}, {\"cell\": \"46.7\", \"bbox\": [145, 153, 162, 164]}, {\"cell\": \"717\", \"bbox\": [212, 153, 228, 164]}, {\"cell\": \"238\", \"bbox\": [289, 153, 305, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [369, 153, 408, 164]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4885096_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
SampleShake Flask MethodPolarity (Methanol/Water), (min)
Distribution Coefficient, DPeak 1 aPeak 2 bAverage
[EMPTY_CELL]2.61 ± 0.223.8824.6124.18
[EMPTY_CELL]2.61 ± 0.223.6624.4124.05
[EMPTY_CELL]1.00 ± 0.218.7519.7419.35
[EMPTY_CELL]0.80 ± 0.218.5319.5719.05
[EMPTY_CELL]0.31 ± 0.217.4118.4118.02
[EMPTY_CELL]0.39 ± 0.216.7717.7617.41
[EMPTY_CELL]0.01 ± 0.216.6817.7217.37
[EMPTY_CELL]−0.38 ± 0.216.2917.3316.94
\", \"cells\": [{\"cell\": \"Sample\", \"bbox\": [40, 14, 77, 26]}, {\"cell\": \"Shake Flask Method\", \"bbox\": [137, 6, 236, 18]}, {\"cell\": \"Polarity (Methanol/Water), (min)\", \"bbox\": [266, 6, 426, 18]}, {\"cell\": \"Distribution Coefficient, D\", \"bbox\": [123, 22, 250, 33]}, {\"cell\": \"Peak 1 a\", \"bbox\": [262, 20, 302, 33]}, {\"cell\": \"Peak 2 b\", \"bbox\": [312, 20, 353, 33]}, {\"cell\": \"Average\", \"bbox\": [376, 22, 417, 33]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [48, 37, 70, 49]}, {\"cell\": \"2.61 ± 0.2\", \"bbox\": [163, 37, 210, 49]}, {\"cell\": \"23.88\", \"bbox\": [269, 37, 296, 49]}, {\"cell\": \"24.61\", \"bbox\": [319, 37, 346, 49]}, {\"cell\": \"24.18\", \"bbox\": [383, 37, 410, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 52, 111, 64]}, {\"cell\": \"2.61 ± 0.2\", \"bbox\": [163, 52, 210, 64]}, {\"cell\": \"23.66\", \"bbox\": [269, 52, 295, 64]}, {\"cell\": \"24.41\", \"bbox\": [319, 52, 346, 64]}, {\"cell\": \"24.05\", \"bbox\": [383, 52, 409, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 67, 103, 79]}, {\"cell\": \"1.00 ± 0.2\", \"bbox\": [163, 67, 210, 79]}, {\"cell\": \"18.75\", \"bbox\": [269, 67, 296, 79]}, {\"cell\": \"19.74\", \"bbox\": [319, 67, 346, 79]}, {\"cell\": \"19.35\", \"bbox\": [383, 67, 410, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 82, 106, 94]}, {\"cell\": \"0.80 ± 0.2\", \"bbox\": [163, 82, 210, 94]}, {\"cell\": \"18.53\", \"bbox\": [269, 82, 296, 94]}, {\"cell\": \"19.57\", \"bbox\": [319, 82, 346, 94]}, {\"cell\": \"19.05\", \"bbox\": [383, 82, 410, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 97, 109, 109]}, {\"cell\": \"0.31 ± 0.2\", \"bbox\": [163, 97, 210, 109]}, {\"cell\": \"17.41\", \"bbox\": [269, 97, 296, 109]}, {\"cell\": \"18.41\", \"bbox\": [319, 97, 346, 109]}, {\"cell\": \"18.02\", \"bbox\": [383, 97, 410, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 112, 103, 124]}, {\"cell\": \"0.39 ± 0.2\", \"bbox\": [163, 112, 210, 124]}, {\"cell\": \"16.77\", \"bbox\": [269, 112, 296, 124]}, {\"cell\": \"17.76\", \"bbox\": [319, 112, 346, 124]}, {\"cell\": \"17.41\", \"bbox\": [383, 112, 410, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 127, 106, 139]}, {\"cell\": \"0.01 ± 0.2\", \"bbox\": [163, 127, 210, 139]}, {\"cell\": \"16.68\", \"bbox\": [269, 127, 296, 139]}, {\"cell\": \"17.72\", \"bbox\": [319, 127, 346, 139]}, {\"cell\": \"17.37\", \"bbox\": [383, 127, 410, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 142, 109, 154]}, {\"cell\": \"−0.38 ± 0.2\", \"bbox\": [160, 138, 213, 155]}, {\"cell\": \"16.29\", \"bbox\": [269, 142, 296, 154]}, {\"cell\": \"17.33\", \"bbox\": [319, 142, 346, 154]}, {\"cell\": \"16.94\", \"bbox\": [383, 142, 410, 154]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4632738_004_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
ParameterObese IndividualsNormal-Weight Controlsp
Mean ± SDMin–MaxMean ± SDMin–Max
Age (years)42.02 ± 10.33[EMPTY_CELL]44.08 ± 13.5026–630.623
Weight (kg)132.17 ± 18.61[EMPTY_CELL]67.92 ± 10.4854–90<0.0001
BMI (kg/m2)47.02 ± 4.91[EMPTY_CELL]23.06 ± 1.7720.07-24.93<0.0001
Adipose tissue (% body mass)48.55 ± 4.10[EMPTY_CELL]––[EMPTY_CELL]
Waist circumference (cm) 124.47 ± 18.78[EMPTY_CELL]––[EMPTY_CELL]
CRP (nmol/L)123.15 ± 114[EMPTY_CELL]30.86 ± 16.386.67–49.520.04
Glucose (mmol/L)5.65 ± 1.53[EMPTY_CELL]5.17 ± 0.214.77–5.440.314
Total cholesterol (mmol/L)5.20 ± 1.03[EMPTY_CELL]4.80 ± 0.204.62–4.920.623
LDL (mmol/L)3.28 ± 1.06[EMPTY_CELL]2.62 ± 0.082.75–2.800.547
HDL (mmol/L)1.24 ± 0.23[EMPTY_CELL]1.47 ± 0.271.24–1.760.136
Triglycerides (mmol/L)1.44 ± 0.73[EMPTY_CELL]1.33 ± 0.091.10–1.460.797
Co-morbidities
Type 2 DM/IGT24 (49.0%)[EMPTY_CELL][EMPTY_CELL]
Hypertension29 (59.2%)[EMPTY_CELL][EMPTY_CELL]
Hyperlipidemia30 (61.2%)[EMPTY_CELL][EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Parameter\", \"bbox\": [48, 14, 100, 26]}, {\"cell\": \"Obese Individuals\", \"bbox\": [177, 6, 264, 18]}, {\"cell\": \"Normal-Weight Controls\", \"bbox\": [303, 6, 423, 18]}, {\"cell\": \"p\", \"bbox\": [451, 14, 458, 26]}, {\"cell\": \"Mean ± SD\", \"bbox\": [158, 22, 212, 33]}, {\"cell\": \"Min–Max\", \"bbox\": [235, 22, 283, 33]}, {\"cell\": \"Mean ± SD\", \"bbox\": [304, 22, 358, 33]}, {\"cell\": \"Min–Max\", \"bbox\": [374, 22, 423, 33]}, {\"cell\": \"Age (years)\", \"bbox\": [47, 37, 101, 49]}, {\"cell\": \"42.02 ± 10.33\", \"bbox\": [154, 37, 217, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [245, 37, 274, 49]}, {\"cell\": \"44.08 ± 13.50\", \"bbox\": [299, 37, 362, 49]}, {\"cell\": \"26–63\", \"bbox\": [384, 37, 414, 49]}, {\"cell\": \"0.623\", \"bbox\": [441, 37, 468, 49]}, {\"cell\": \"Weight (kg)\", \"bbox\": [47, 52, 102, 64]}, {\"cell\": \"132.17 ± 18.61\", \"bbox\": [151, 52, 219, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 52, 284, 64]}, {\"cell\": \"67.92 ± 10.48\", \"bbox\": [299, 52, 362, 64]}, {\"cell\": \"54–90\", \"bbox\": [384, 52, 414, 64]}, {\"cell\": \"<0.0001\", \"bbox\": [435, 52, 474, 64]}, {\"cell\": \"BMI (kg/m2)\", \"bbox\": [45, 65, 104, 79]}, {\"cell\": \"47.02 ± 4.91\", \"bbox\": [156, 67, 214, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [231, 67, 288, 79]}, {\"cell\": \"23.06 ± 1.77\", \"bbox\": [302, 67, 360, 79]}, {\"cell\": \"20.07-24.93\", \"bbox\": [371, 67, 426, 79]}, {\"cell\": \"<0.0001\", \"bbox\": [435, 67, 474, 79]}, {\"cell\": \"Adipose tissue (% body mass)\", \"bbox\": [7, 82, 142, 94]}, {\"cell\": \"48.55 ± 4.10\", \"bbox\": [156, 82, 214, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [231, 82, 288, 94]}, {\"cell\": \"–\", \"bbox\": [327, 82, 335, 94]}, {\"cell\": \"–\", \"bbox\": [395, 82, 402, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Waist circumference (cm) \", \"bbox\": [16, 97, 133, 109]}, {\"cell\": \"124.47 ± 18.78\", \"bbox\": [151, 97, 219, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [242, 97, 277, 109]}, {\"cell\": \"–\", \"bbox\": [327, 97, 335, 109]}, {\"cell\": \"–\", \"bbox\": [395, 97, 403, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CRP (nmol/L)\", \"bbox\": [42, 112, 107, 124]}, {\"cell\": \"123.15 ± 114\", \"bbox\": [155, 112, 215, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 112, 291, 124]}, {\"cell\": \"30.86 ± 16.38\", \"bbox\": [299, 112, 362, 124]}, {\"cell\": \"6.67–49.52\", \"bbox\": [373, 112, 425, 124]}, {\"cell\": \"0.04\", \"bbox\": [444, 112, 465, 124]}, {\"cell\": \"Glucose (mmol/L)\", \"bbox\": [32, 127, 116, 139]}, {\"cell\": \"5.65 ± 1.53\", \"bbox\": [159, 127, 211, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [234, 127, 285, 139]}, {\"cell\": \"5.17 ± 0.21\", \"bbox\": [305, 127, 357, 139]}, {\"cell\": \"4.77–5.44\", \"bbox\": [376, 127, 422, 139]}, {\"cell\": \"0.314\", \"bbox\": [441, 127, 468, 139]}, {\"cell\": \"Total cholesterol (mmol/L)\", \"bbox\": [13, 142, 135, 154]}, {\"cell\": \"5.20 ± 1.03\", \"bbox\": [159, 142, 211, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 142, 282, 154]}, {\"cell\": \"4.80 ± 0.20\", \"bbox\": [305, 142, 357, 154]}, {\"cell\": \"4.62–4.92\", \"bbox\": [376, 142, 422, 154]}, {\"cell\": \"0.623\", \"bbox\": [441, 142, 468, 154]}, {\"cell\": \"LDL (mmol/L)\", \"bbox\": [40, 157, 109, 169]}, {\"cell\": \"3.28 ± 1.06\", \"bbox\": [159, 157, 211, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 157, 282, 169]}, {\"cell\": \"2.62 ± 0.08\", \"bbox\": [305, 157, 357, 169]}, {\"cell\": \"2.75–2.80\", \"bbox\": [376, 157, 422, 169]}, {\"cell\": \"0.547\", \"bbox\": [441, 157, 468, 169]}, {\"cell\": \"HDL (mmol/L)\", \"bbox\": [39, 172, 109, 184]}, {\"cell\": \"1.24 ± 0.23\", \"bbox\": [159, 172, 211, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 172, 282, 184]}, {\"cell\": \"1.47 ± 0.27\", \"bbox\": [305, 172, 357, 184]}, {\"cell\": \"1.24–1.76\", \"bbox\": [376, 172, 422, 184]}, {\"cell\": \"0.136\", \"bbox\": [441, 172, 468, 184]}, {\"cell\": \"Triglycerides (mmol/L)\", \"bbox\": [21, 187, 128, 199]}, {\"cell\": \"1.44 ± 0.73\", \"bbox\": [159, 187, 211, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 187, 282, 199]}, {\"cell\": \"1.33 ± 0.09\", \"bbox\": [305, 187, 357, 199]}, {\"cell\": \"1.10–1.46\", \"bbox\": [376, 187, 422, 199]}, {\"cell\": \"0.797\", \"bbox\": [441, 187, 468, 199]}, {\"cell\": \"Co-morbidities\", \"bbox\": [206, 202, 274, 214]}, {\"cell\": \"Type 2 DM/IGT\", \"bbox\": [37, 218, 112, 230]}, {\"cell\": \"24 (49.0%)\", \"bbox\": [195, 218, 246, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [351, 218, 375, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Hypertension\", \"bbox\": [44, 233, 105, 245]}, {\"cell\": \"29 (59.2%)\", \"bbox\": [195, 233, 246, 245]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [351, 233, 375, 245]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Hyperlipidemia\", \"bbox\": [39, 248, 110, 260]}, {\"cell\": \"30 (61.2%)\", \"bbox\": [195, 248, 246, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [351, 248, 375, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4632828_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
GeneECOG-ACRIN (n=371)1LSC (n=466)1PLuSS (n=597)1OR2 (95% CI) (ECOG/LSC)OR2 (95% CI) (ECOG/PLuSS)
P16132 (36)[EMPTY_CELL]89 (15)2.3 (1.6 – 3.2)3.2 (2.3 – 4.5)
MGMT152 (42)[EMPTY_CELL]140 (23)2.0 (1.5 – 2.8)2.4 (1.8 – 3.2)
DAPK157 (43)[EMPTY_CELL]77 (13)3.3 (2.3 – 4.6)5.0 (3.6 – 7.1)
RASSF1A37 (10)[EMPTY_CELL]07.4 (1.8 – 31.4)NC
GATA4265 (73)[EMPTY_CELL]198 (33)3.9 (2.8 – 5.3)4.9 (3.6 – 6.6)
GATA5164 (45)[EMPTY_CELL]55 (9)5.3 (3.6 – 7.6)7.9 (5.5 – 11.5)
PAX5α116 (32)[EMPTY_CELL]68 (11)1.6 (1.2 – 2.3)3.2 (2.2 – 4.5)
PAX5β117 (32)[EMPTY_CELL]30 (5)6.2 (4.0 – 9.8)8.9 (4.7 – 14.1)
\", \"cells\": [{\"cell\": \"Gene\", \"bbox\": [4, 6, 28, 14]}, {\"cell\": \"ECOG-ACRIN (n=371)1\", \"bbox\": [92, 6, 160, 29]}, {\"cell\": \"LSC (n=466)1\", \"bbox\": [183, 2, 243, 17]}, {\"cell\": \"PLuSS (n=597)1\", \"bbox\": [253, 2, 323, 17]}, {\"cell\": \"OR2 (95% CI) (ECOG/LSC)\", \"bbox\": [337, 2, 400, 29]}, {\"cell\": \"OR2 (95% CI) (ECOG/PLuSS)\", \"bbox\": [420, 2, 490, 29]}, {\"cell\": \"P16\", \"bbox\": [3, 35, 22, 44]}, {\"cell\": \"132 (36)\", \"bbox\": [108, 35, 144, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 35, 229, 46]}, {\"cell\": \"89 (15)\", \"bbox\": [272, 35, 303, 46]}, {\"cell\": \"2.3 (1.6 – 3.2)\", \"bbox\": [339, 35, 398, 46]}, {\"cell\": \"3.2 (2.3 – 4.5)\", \"bbox\": [426, 35, 484, 46]}, {\"cell\": \"MGMT\", \"bbox\": [3, 52, 35, 61]}, {\"cell\": \"152 (42)\", \"bbox\": [108, 52, 144, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [195, 52, 231, 63]}, {\"cell\": \"140 (23)\", \"bbox\": [270, 52, 306, 63]}, {\"cell\": \"2.0 (1.5 – 2.8)\", \"bbox\": [339, 52, 398, 63]}, {\"cell\": \"2.4 (1.8 – 3.2)\", \"bbox\": [426, 52, 484, 63]}, {\"cell\": \"DAPK\", \"bbox\": [3, 69, 32, 78]}, {\"cell\": \"157 (43)\", \"bbox\": [108, 69, 144, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 69, 229, 80]}, {\"cell\": \"77 (13)\", \"bbox\": [272, 69, 303, 80]}, {\"cell\": \"3.3 (2.3 – 4.6)\", \"bbox\": [339, 69, 398, 80]}, {\"cell\": \"5.0 (3.6 – 7.1)\", \"bbox\": [426, 69, 484, 80]}, {\"cell\": \"RASSF1A\", \"bbox\": [3, 86, 45, 95]}, {\"cell\": \"37 (10)\", \"bbox\": [110, 86, 142, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 86, 228, 97]}, {\"cell\": \"0\", \"bbox\": [284, 86, 291, 97]}, {\"cell\": \"7.4 (1.8 – 31.4)\", \"bbox\": [337, 86, 400, 97]}, {\"cell\": \"NC\", \"bbox\": [447, 86, 463, 97]}, {\"cell\": \"GATA4\", \"bbox\": [3, 103, 34, 112]}, {\"cell\": \"265 (73)\", \"bbox\": [108, 103, 144, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [195, 103, 231, 114]}, {\"cell\": \"198 (33)\", \"bbox\": [270, 103, 306, 114]}, {\"cell\": \"3.9 (2.8 – 5.3)\", \"bbox\": [339, 103, 398, 114]}, {\"cell\": \"4.9 (3.6 – 6.6)\", \"bbox\": [426, 103, 484, 114]}, {\"cell\": \"GATA5\", \"bbox\": [3, 120, 34, 129]}, {\"cell\": \"164 (45)\", \"bbox\": [108, 120, 144, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 120, 229, 131]}, {\"cell\": \"55 (9)\", \"bbox\": [275, 120, 301, 131]}, {\"cell\": \"5.3 (3.6 – 7.6)\", \"bbox\": [339, 120, 398, 131]}, {\"cell\": \"7.9 (5.5 – 11.5)\", \"bbox\": [424, 120, 487, 131]}, {\"cell\": \"PAX5α\", \"bbox\": [3, 133, 33, 149]}, {\"cell\": \"116 (32)\", \"bbox\": [108, 137, 144, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 137, 229, 148]}, {\"cell\": \"68 (11)\", \"bbox\": [272, 137, 303, 148]}, {\"cell\": \"1.6 (1.2 – 2.3)\", \"bbox\": [339, 137, 398, 148]}, {\"cell\": \"3.2 (2.2 – 4.5)\", \"bbox\": [426, 137, 484, 148]}, {\"cell\": \"PAX5β\", \"bbox\": [3, 150, 33, 166]}, {\"cell\": \"117 (32)\", \"bbox\": [108, 154, 144, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 154, 226, 165]}, {\"cell\": \"30 (5)\", \"bbox\": [275, 154, 301, 165]}, {\"cell\": \"6.2 (4.0 – 9.8)\", \"bbox\": [339, 154, 398, 165]}, {\"cell\": \"8.9 (4.7 – 14.1)\", \"bbox\": [423, 154, 487, 165]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5609978_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
TestCMACountKTCountFRGXCount
(% of Requested)(% of Requested)(% of Requested)
Completed110[EMPTY_CELL]167
Normal98 (89.1)[EMPTY_CELL]165 (98.8)
Variant reportedAll[EMPTY_CELL]5 (3.5)2 (1.2)
Causal6 (5.5)[EMPTY_CELL]2 (1.2)
NNTAll[EMPTY_CELL]2883.5
Causal18.3[EMPTY_CELL]83.5
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]$$
Cost AnalysisCPT[EMPTY_CELL]361.35102.00
CPF5443.63[EMPTY_CELL]8415.00
CCF10,887.25[EMPTY_CELL]8415.00
\", \"cells\": [{\"cell\": \"Test\", \"bbox\": [60, 14, 82, 25]}, {\"cell\": \"CMACount\", \"bbox\": [165, 6, 222, 18]}, {\"cell\": \"KTCount\", \"bbox\": [272, 6, 319, 18]}, {\"cell\": \"FRGXCount\", \"bbox\": [362, 6, 424, 18]}, {\"cell\": \"(% of Requested)\", \"bbox\": [152, 21, 236, 33]}, {\"cell\": \"(% of Requested)\", \"bbox\": [254, 21, 338, 33]}, {\"cell\": \"(% of Requested)\", \"bbox\": [351, 21, 435, 33]}, {\"cell\": \"Completed\", \"bbox\": [46, 36, 96, 48]}, {\"cell\": \"110\", \"bbox\": [184, 36, 203, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [286, 36, 305, 48]}, {\"cell\": \"167\", \"bbox\": [384, 36, 402, 48]}, {\"cell\": \"Normal\", \"bbox\": [53, 51, 89, 63]}, {\"cell\": \"98 (89.1)\", \"bbox\": [173, 51, 215, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [272, 51, 320, 63]}, {\"cell\": \"165 (98.8)\", \"bbox\": [369, 51, 417, 63]}, {\"cell\": \"Variant reported\", \"bbox\": [11, 74, 85, 86]}, {\"cell\": \"All\", \"bbox\": [110, 66, 126, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [173, 66, 215, 78]}, {\"cell\": \"5 (3.5)\", \"bbox\": [280, 66, 311, 78]}, {\"cell\": \"2 (1.2)\", \"bbox\": [377, 66, 409, 78]}, {\"cell\": \"Causal\", \"bbox\": [102, 81, 134, 93]}, {\"cell\": \"6 (5.5)\", \"bbox\": [178, 81, 209, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [280, 81, 311, 93]}, {\"cell\": \"2 (1.2)\", \"bbox\": [377, 81, 409, 93]}, {\"cell\": \"NNT\", \"bbox\": [36, 104, 60, 116]}, {\"cell\": \"All\", \"bbox\": [110, 96, 126, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 96, 202, 108]}, {\"cell\": \"28\", \"bbox\": [289, 96, 302, 108]}, {\"cell\": \"83.5\", \"bbox\": [382, 96, 404, 108]}, {\"cell\": \"Causal\", \"bbox\": [102, 111, 134, 123]}, {\"cell\": \"18.3\", \"bbox\": [183, 111, 204, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 111, 302, 123]}, {\"cell\": \"83.5\", \"bbox\": [382, 111, 404, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 126, 197, 138]}, {\"cell\": \"$\", \"bbox\": [292, 126, 299, 138]}, {\"cell\": \"$\", \"bbox\": [389, 126, 397, 138]}, {\"cell\": \"Cost Analysis\", \"bbox\": [17, 156, 80, 168]}, {\"cell\": \"CPT\", \"bbox\": [107, 141, 129, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [178, 141, 210, 153]}, {\"cell\": \"361.35\", \"bbox\": [280, 141, 312, 153]}, {\"cell\": \"102.00\", \"bbox\": [377, 141, 409, 153]}, {\"cell\": \"CPF\", \"bbox\": [107, 156, 128, 168]}, {\"cell\": \"5443.63\", \"bbox\": [175, 156, 213, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [275, 156, 316, 168]}, {\"cell\": \"8415.00\", \"bbox\": [374, 156, 412, 168]}, {\"cell\": \"CCF\", \"bbox\": [106, 171, 129, 183]}, {\"cell\": \"10,887.25\", \"bbox\": [171, 171, 217, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [273, 171, 319, 183]}, {\"cell\": \"8415.00\", \"bbox\": [374, 171, 412, 183]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4939515_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Mesh# of fly genes# of fly genes with human ortholog(s)# of fly genes shared disease categories with their human ortholog% fly genes with human ortholog(s)% fly genes shared disease categories with their human ortholog
Neoplasms[EMPTY_CELL]63659293%93%
Pathological Conditions, Signs and Symptoms[EMPTY_CELL]1713156681%91%
Nervous System Diseases[EMPTY_CELL]100487885%87%
Digestive System Diseases[EMPTY_CELL]948190%86%
Otorhinolaryngologic Diseases[EMPTY_CELL]141278%86%
Mental Disorders[EMPTY_CELL]44837895%84%
Congenital, Hereditary, and Neonatal Diseases and Abnormalities[EMPTY_CELL]110090089%82%
Cardiovascular Diseases[EMPTY_CELL]12610391%82%
Stomatognathic Diseases[EMPTY_CELL]2016100%80%
Skin and Connective Tissue Diseases[EMPTY_CELL]1239883%80%
Immune System Diseases[EMPTY_CELL]846475%76%
Respiratory Tract Diseases[EMPTY_CELL]86100%75%
Disorders of Environmental Origin[EMPTY_CELL]64246684%73%
Hemic and Lymphatic Diseases[EMPTY_CELL]966996%72%
Endocrine System Diseases[EMPTY_CELL]14410388%72%
Nutritional and Metabolic Diseases[EMPTY_CELL]45231078%69%
Female Urogenital Diseases and Pregnancy Complications[EMPTY_CELL]41327674%67%
Virus Diseases[EMPTY_CELL]322184%66%
Musculoskeletal Diseases[EMPTY_CELL]16510678%64%
Male Urogenital Diseases[EMPTY_CELL]35522176%62%
Bacterial Infections and Mycoses[EMPTY_CELL]2339972%42%
Eye Diseases[EMPTY_CELL]59022184%37%
Parasitic Diseases[EMPTY_CELL]1872182%11%
All Categories[EMPTY_CELL]2739228377%83%
\", \"cells\": [{\"cell\": \"Mesh\", \"bbox\": [1, 4, 21, 13]}, {\"cell\": \"# of fly genes\", \"bbox\": [101, 4, 128, 22]}, {\"cell\": \"# of fly genes with human ortholog(s)\", \"bbox\": [137, 4, 187, 31]}, {\"cell\": \"# of fly genes shared disease categories with their human ortholog\", \"bbox\": [203, 4, 307, 31]}, {\"cell\": \"% fly genes with human ortholog(s)\", \"bbox\": [316, 4, 360, 31]}, {\"cell\": \"% fly genes shared disease categories with their human ortholog\", \"bbox\": [379, 4, 480, 31]}, {\"cell\": \"Neoplasms\", \"bbox\": [0, 35, 37, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 35, 115, 45]}, {\"cell\": \"636\", \"bbox\": [137, 35, 150, 45]}, {\"cell\": \"592\", \"bbox\": [203, 35, 217, 45]}, {\"cell\": \"93%\", \"bbox\": [316, 35, 331, 45]}, {\"cell\": \"93%\", \"bbox\": [379, 35, 394, 45]}, {\"cell\": \"Pathological Conditions, Signs and Symptoms\", \"bbox\": [0, 47, 80, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 47, 118, 57]}, {\"cell\": \"1713\", \"bbox\": [137, 47, 154, 57]}, {\"cell\": \"1566\", \"bbox\": [203, 47, 220, 57]}, {\"cell\": \"81%\", \"bbox\": [316, 47, 331, 57]}, {\"cell\": \"91%\", \"bbox\": [379, 47, 394, 57]}, {\"cell\": \"Nervous System Diseases\", \"bbox\": [0, 68, 83, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 68, 118, 78]}, {\"cell\": \"1004\", \"bbox\": [137, 68, 154, 78]}, {\"cell\": \"878\", \"bbox\": [203, 68, 217, 78]}, {\"cell\": \"85%\", \"bbox\": [316, 68, 331, 78]}, {\"cell\": \"87%\", \"bbox\": [379, 68, 394, 78]}, {\"cell\": \"Digestive System Diseases\", \"bbox\": [0, 80, 86, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 80, 115, 89]}, {\"cell\": \"94\", \"bbox\": [137, 80, 147, 89]}, {\"cell\": \"81\", \"bbox\": [203, 80, 213, 89]}, {\"cell\": \"90%\", \"bbox\": [316, 80, 331, 89]}, {\"cell\": \"86%\", \"bbox\": [379, 80, 394, 89]}, {\"cell\": \"Otorhinolaryngologic Diseases\", \"bbox\": [0, 92, 70, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 92, 111, 101]}, {\"cell\": \"14\", \"bbox\": [137, 92, 147, 101]}, {\"cell\": \"12\", \"bbox\": [203, 92, 213, 101]}, {\"cell\": \"78%\", \"bbox\": [316, 92, 331, 101]}, {\"cell\": \"86%\", \"bbox\": [379, 92, 394, 101]}, {\"cell\": \"Mental Disorders\", \"bbox\": [0, 113, 57, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 113, 115, 122]}, {\"cell\": \"448\", \"bbox\": [137, 113, 150, 122]}, {\"cell\": \"378\", \"bbox\": [203, 113, 217, 122]}, {\"cell\": \"95%\", \"bbox\": [316, 113, 331, 122]}, {\"cell\": \"84%\", \"bbox\": [379, 113, 394, 122]}, {\"cell\": \"Congenital, Hereditary, and Neonatal Diseases and Abnormalities\", \"bbox\": [0, 125, 90, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 125, 118, 134]}, {\"cell\": \"1100\", \"bbox\": [137, 125, 154, 134]}, {\"cell\": \"900\", \"bbox\": [203, 125, 217, 134]}, {\"cell\": \"89%\", \"bbox\": [316, 125, 331, 134]}, {\"cell\": \"82%\", \"bbox\": [379, 125, 394, 134]}, {\"cell\": \"Cardiovascular Diseases\", \"bbox\": [0, 155, 78, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 155, 115, 164]}, {\"cell\": \"126\", \"bbox\": [137, 155, 150, 164]}, {\"cell\": \"103\", \"bbox\": [203, 155, 217, 164]}, {\"cell\": \"91%\", \"bbox\": [316, 155, 331, 164]}, {\"cell\": \"82%\", \"bbox\": [379, 155, 394, 164]}, {\"cell\": \"Stomatognathic Diseases\", \"bbox\": [0, 167, 83, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 167, 111, 176]}, {\"cell\": \"20\", \"bbox\": [137, 167, 147, 176]}, {\"cell\": \"16\", \"bbox\": [203, 167, 213, 176]}, {\"cell\": \"100%\", \"bbox\": [316, 167, 335, 176]}, {\"cell\": \"80%\", \"bbox\": [379, 167, 394, 176]}, {\"cell\": \"Skin and Connective Tissue Diseases\", \"bbox\": [0, 179, 90, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 179, 115, 188]}, {\"cell\": \"123\", \"bbox\": [137, 179, 150, 188]}, {\"cell\": \"98\", \"bbox\": [203, 179, 213, 188]}, {\"cell\": \"83%\", \"bbox\": [316, 179, 331, 188]}, {\"cell\": \"80%\", \"bbox\": [379, 179, 394, 188]}, {\"cell\": \"Immune System Diseases\", \"bbox\": [0, 199, 84, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 199, 115, 209]}, {\"cell\": \"84\", \"bbox\": [137, 199, 147, 209]}, {\"cell\": \"64\", \"bbox\": [203, 199, 213, 209]}, {\"cell\": \"75%\", \"bbox\": [316, 199, 331, 209]}, {\"cell\": \"76%\", \"bbox\": [379, 199, 394, 209]}, {\"cell\": \"Respiratory Tract Diseases\", \"bbox\": [0, 211, 85, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 211, 107, 221]}, {\"cell\": \"8\", \"bbox\": [137, 211, 143, 221]}, {\"cell\": \"6\", \"bbox\": [203, 211, 209, 221]}, {\"cell\": \"100%\", \"bbox\": [316, 211, 335, 221]}, {\"cell\": \"75%\", \"bbox\": [379, 211, 394, 221]}, {\"cell\": \"Disorders of Environmental Origin\", \"bbox\": [0, 223, 90, 242]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 223, 115, 233]}, {\"cell\": \"642\", \"bbox\": [137, 223, 150, 233]}, {\"cell\": \"466\", \"bbox\": [203, 223, 217, 233]}, {\"cell\": \"84%\", \"bbox\": [316, 223, 331, 233]}, {\"cell\": \"73%\", \"bbox\": [379, 223, 394, 233]}, {\"cell\": \"Hemic and Lymphatic Diseases\", \"bbox\": [0, 244, 73, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 244, 115, 254]}, {\"cell\": \"96\", \"bbox\": [137, 244, 147, 254]}, {\"cell\": \"69\", \"bbox\": [203, 244, 213, 254]}, {\"cell\": \"96%\", \"bbox\": [316, 244, 331, 254]}, {\"cell\": \"72%\", \"bbox\": [379, 244, 394, 254]}, {\"cell\": \"Endocrine System Diseases\", \"bbox\": [0, 265, 89, 275]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 265, 115, 275]}, {\"cell\": \"144\", \"bbox\": [137, 265, 150, 275]}, {\"cell\": \"103\", \"bbox\": [203, 265, 217, 275]}, {\"cell\": \"88%\", \"bbox\": [316, 265, 331, 275]}, {\"cell\": \"72%\", \"bbox\": [379, 265, 394, 275]}, {\"cell\": \"Nutritional and Metabolic Diseases\", \"bbox\": [0, 277, 84, 296]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 277, 115, 287]}, {\"cell\": \"452\", \"bbox\": [137, 277, 150, 287]}, {\"cell\": \"310\", \"bbox\": [203, 277, 217, 287]}, {\"cell\": \"78%\", \"bbox\": [316, 277, 331, 287]}, {\"cell\": \"69%\", \"bbox\": [379, 277, 394, 287]}, {\"cell\": \"Female Urogenital Diseases and Pregnancy Complications\", \"bbox\": [0, 298, 91, 326]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 298, 115, 308]}, {\"cell\": \"413\", \"bbox\": [137, 298, 150, 308]}, {\"cell\": \"276\", \"bbox\": [203, 298, 217, 308]}, {\"cell\": \"74%\", \"bbox\": [316, 298, 331, 308]}, {\"cell\": \"67%\", \"bbox\": [379, 298, 394, 308]}, {\"cell\": \"Virus Diseases\", \"bbox\": [0, 328, 47, 338]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 328, 111, 338]}, {\"cell\": \"32\", \"bbox\": [137, 328, 147, 338]}, {\"cell\": \"21\", \"bbox\": [203, 328, 213, 338]}, {\"cell\": \"84%\", \"bbox\": [316, 328, 331, 338]}, {\"cell\": \"66%\", \"bbox\": [379, 328, 394, 338]}, {\"cell\": \"Musculoskeletal Diseases\", \"bbox\": [0, 340, 82, 349]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 340, 115, 349]}, {\"cell\": \"165\", \"bbox\": [137, 340, 150, 349]}, {\"cell\": \"106\", \"bbox\": [203, 340, 217, 349]}, {\"cell\": \"78%\", \"bbox\": [316, 340, 331, 349]}, {\"cell\": \"64%\", \"bbox\": [379, 340, 394, 349]}, {\"cell\": \"Male Urogenital Diseases\", \"bbox\": [0, 352, 83, 361]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 352, 115, 361]}, {\"cell\": \"355\", \"bbox\": [137, 352, 150, 361]}, {\"cell\": \"221\", \"bbox\": [203, 352, 217, 361]}, {\"cell\": \"76%\", \"bbox\": [316, 352, 331, 361]}, {\"cell\": \"62%\", \"bbox\": [379, 352, 394, 361]}, {\"cell\": \"Bacterial Infections and Mycoses\", \"bbox\": [0, 364, 77, 382]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 364, 115, 373]}, {\"cell\": \"233\", \"bbox\": [137, 364, 150, 373]}, {\"cell\": \"99\", \"bbox\": [203, 364, 213, 373]}, {\"cell\": \"72%\", \"bbox\": [316, 364, 331, 373]}, {\"cell\": \"42%\", \"bbox\": [379, 364, 394, 373]}, {\"cell\": \"Eye Diseases\", \"bbox\": [0, 385, 43, 394]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 385, 115, 394]}, {\"cell\": \"590\", \"bbox\": [137, 385, 150, 394]}, {\"cell\": \"221\", \"bbox\": [203, 385, 217, 394]}, {\"cell\": \"84%\", \"bbox\": [316, 385, 331, 394]}, {\"cell\": \"37%\", \"bbox\": [379, 385, 394, 394]}, {\"cell\": \"Parasitic Diseases\", \"bbox\": [0, 397, 57, 406]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 397, 115, 406]}, {\"cell\": \"187\", \"bbox\": [137, 397, 150, 406]}, {\"cell\": \"21\", \"bbox\": [203, 397, 213, 406]}, {\"cell\": \"82%\", \"bbox\": [316, 397, 331, 406]}, {\"cell\": \"11%\", \"bbox\": [379, 397, 394, 406]}, {\"cell\": \"All Categories\", \"bbox\": [0, 409, 47, 418]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 409, 118, 418]}, {\"cell\": \"2739\", \"bbox\": [137, 409, 154, 418]}, {\"cell\": \"2283\", \"bbox\": [203, 409, 220, 418]}, {\"cell\": \"77%\", \"bbox\": [316, 409, 331, 418]}, {\"cell\": \"83%\", \"bbox\": [379, 409, 394, 418]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3179972_012_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
CountrySwimming split time (h:min)Cycling split time (h:min)Running split time (h:min)Overall race time (h:min)Transition time (h:min)
[EMPTY_CELL]
[EMPTY_CELL]1:03 ± 0:146:48 ± 0:264:52 ± 0:2113:01 ± 0:170:06 ± 0:03
[EMPTY_CELL]1:10 ± 0:067:03 ± 0:284:23 ± 0:3613:46 ± 0:550:09 ± 0:03
[EMPTY_CELL]1:07 ± 0:158:06 ± 1:016:12 ± 0:4315:51 ± 1:190:14 ± 0:08
[EMPTY_CELL]
[EMPTY_CELL]1:03 ± 0:075:34 ± 0:124:14 ± 0:1210:56 ± 0:140:03 ± 0:01
[EMPTY_CELL]1:07 ± 0:086:26 ± 0:224:57 ± 0:1412:36 ± 0:410:06 ± 0:03
[EMPTY_CELL]1:03 ± 0:056:28 ± 0:264:40 ± 0:1612:20 ± 0:220:08 ± 0:04
[EMPTY_CELL]1:02 ± 0:136:33 ± 0:315:03 ± 0:3412:47 ± 0:490:08 ± 0:02
[EMPTY_CELL]1:04 ± 0:116:24 ± 0:324:50 ± 0:2512:27 ± 1:010:08 ± 0:04
[EMPTY_CELL]1:05 ± 0:116:35 ± 0:244:51 ± 0:4012:39 ± 1:020:08 ± 0:04
[EMPTY_CELL]1:05 ± 0:056:59 ± 0:325:30 ± 0:3513:43 ± 1:080:09 ± 0:03
[EMPTY_CELL]1:03 ± 0:066:53 ± 0:285:15 ± 0:4113:19 ± 0:540:08 ± 0:04
[EMPTY_CELL]1:04 ± 0:076:49 ± 0:305:09 ± 0:4613:14 ± 1:160:11 ± 0:04
[EMPTY_CELL]1:03 ± 0:066:34 ± 0:155:28 ± 0:1913:13 ± 0:280:07 ± 0:03
[EMPTY_CELL]1:14 ± 0:097:18 ± 0:325:29 ± 0:3114:15 ± 0:590:12 ± 0:04
\", \"cells\": [{\"cell\": \"Country\", \"bbox\": [1, 4, 31, 14]}, {\"cell\": \"Swimming split time (h:min)\", \"bbox\": [76, 4, 149, 23]}, {\"cell\": \"Cycling split time (h:min)\", \"bbox\": [171, 4, 232, 23]}, {\"cell\": \"Running split time (h:min)\", \"bbox\": [255, 4, 320, 23]}, {\"cell\": \"Overall race time (h:min)\", \"bbox\": [343, 4, 403, 23]}, {\"cell\": \"Transition time (h:min)\", \"bbox\": [426, 4, 480, 23]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 31, 28, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 43, 32, 53]}, {\"cell\": \"1:03 ± 0:14\", \"bbox\": [76, 43, 114, 53]}, {\"cell\": \"6:48 ± 0:26\", \"bbox\": [171, 43, 209, 53]}, {\"cell\": \"4:52 ± 0:21\", \"bbox\": [255, 43, 293, 53]}, {\"cell\": \"13:01 ± 0:17\", \"bbox\": [343, 43, 385, 53]}, {\"cell\": \"0:06 ± 0:03\", \"bbox\": [426, 43, 464, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 55, 37, 65]}, {\"cell\": \"1:10 ± 0:06\", \"bbox\": [76, 55, 114, 65]}, {\"cell\": \"7:03 ± 0:28\", \"bbox\": [171, 55, 209, 65]}, {\"cell\": \"4:23 ± 0:36\", \"bbox\": [255, 55, 293, 65]}, {\"cell\": \"13:46 ± 0:55\", \"bbox\": [343, 55, 385, 65]}, {\"cell\": \"0:09 ± 0:03\", \"bbox\": [426, 55, 464, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 68, 46, 77]}, {\"cell\": \"1:07 ± 0:15\", \"bbox\": [76, 68, 114, 77]}, {\"cell\": \"8:06 ± 1:01\", \"bbox\": [171, 68, 209, 77]}, {\"cell\": \"6:12 ± 0:43\", \"bbox\": [255, 68, 293, 77]}, {\"cell\": \"15:51 ± 1:19\", \"bbox\": [343, 68, 385, 77]}, {\"cell\": \"0:14 ± 0:08\", \"bbox\": [426, 68, 464, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 80, 17, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 92, 32, 101]}, {\"cell\": \"1:03 ± 0:07\", \"bbox\": [76, 92, 114, 101]}, {\"cell\": \"5:34 ± 0:12\", \"bbox\": [171, 92, 209, 101]}, {\"cell\": \"4:14 ± 0:12\", \"bbox\": [255, 92, 293, 101]}, {\"cell\": \"10:56 ± 0:14\", \"bbox\": [343, 92, 385, 101]}, {\"cell\": \"0:03 ± 0:01\", \"bbox\": [426, 92, 464, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 104, 46, 113]}, {\"cell\": \"1:07 ± 0:08\", \"bbox\": [76, 104, 114, 113]}, {\"cell\": \"6:26 ± 0:22\", \"bbox\": [171, 104, 209, 113]}, {\"cell\": \"4:57 ± 0:14\", \"bbox\": [255, 104, 293, 113]}, {\"cell\": \"12:36 ± 0:41\", \"bbox\": [343, 104, 385, 113]}, {\"cell\": \"0:06 ± 0:03\", \"bbox\": [426, 104, 464, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 116, 37, 125]}, {\"cell\": \"1:03 ± 0:05\", \"bbox\": [76, 116, 114, 125]}, {\"cell\": \"6:28 ± 0:26\", \"bbox\": [171, 116, 209, 125]}, {\"cell\": \"4:40 ± 0:16\", \"bbox\": [255, 116, 293, 125]}, {\"cell\": \"12:20 ± 0:22\", \"bbox\": [343, 116, 385, 125]}, {\"cell\": \"0:08 ± 0:04\", \"bbox\": [426, 116, 464, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 128, 28, 137]}, {\"cell\": \"1:02 ± 0:13\", \"bbox\": [76, 128, 114, 137]}, {\"cell\": \"6:33 ± 0:31\", \"bbox\": [171, 128, 209, 137]}, {\"cell\": \"5:03 ± 0:34\", \"bbox\": [255, 128, 293, 137]}, {\"cell\": \"12:47 ± 0:49\", \"bbox\": [343, 128, 385, 137]}, {\"cell\": \"0:08 ± 0:02\", \"bbox\": [426, 128, 464, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 140, 33, 150]}, {\"cell\": \"1:04 ± 0:11\", \"bbox\": [76, 140, 114, 150]}, {\"cell\": \"6:24 ± 0:32\", \"bbox\": [171, 140, 209, 150]}, {\"cell\": \"4:50 ± 0:25\", \"bbox\": [255, 140, 293, 150]}, {\"cell\": \"12:27 ± 1:01\", \"bbox\": [343, 140, 385, 150]}, {\"cell\": \"0:08 ± 0:04\", \"bbox\": [426, 140, 464, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 152, 37, 162]}, {\"cell\": \"1:05 ± 0:11\", \"bbox\": [76, 152, 114, 162]}, {\"cell\": \"6:35 ± 0:24\", \"bbox\": [171, 152, 209, 162]}, {\"cell\": \"4:51 ± 0:40\", \"bbox\": [255, 152, 293, 162]}, {\"cell\": \"12:39 ± 1:02\", \"bbox\": [343, 152, 385, 162]}, {\"cell\": \"0:08 ± 0:04\", \"bbox\": [426, 152, 464, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 164, 21, 174]}, {\"cell\": \"1:05 ± 0:05\", \"bbox\": [76, 164, 114, 174]}, {\"cell\": \"6:59 ± 0:32\", \"bbox\": [171, 164, 209, 174]}, {\"cell\": \"5:30 ± 0:35\", \"bbox\": [255, 164, 293, 174]}, {\"cell\": \"13:43 ± 1:08\", \"bbox\": [343, 164, 385, 174]}, {\"cell\": \"0:09 ± 0:03\", \"bbox\": [426, 164, 464, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 176, 60, 186]}, {\"cell\": \"1:03 ± 0:06\", \"bbox\": [76, 176, 114, 186]}, {\"cell\": \"6:53 ± 0:28\", \"bbox\": [171, 176, 209, 186]}, {\"cell\": \"5:15 ± 0:41\", \"bbox\": [255, 176, 293, 186]}, {\"cell\": \"13:19 ± 0:54\", \"bbox\": [343, 176, 385, 186]}, {\"cell\": \"0:08 ± 0:04\", \"bbox\": [426, 176, 464, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 189, 29, 198]}, {\"cell\": \"1:04 ± 0:07\", \"bbox\": [76, 189, 114, 198]}, {\"cell\": \"6:49 ± 0:30\", \"bbox\": [171, 189, 209, 198]}, {\"cell\": \"5:09 ± 0:46\", \"bbox\": [255, 189, 293, 198]}, {\"cell\": \"13:14 ± 1:16\", \"bbox\": [343, 189, 385, 198]}, {\"cell\": \"0:11 ± 0:04\", \"bbox\": [426, 189, 464, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 201, 34, 210]}, {\"cell\": \"1:03 ± 0:06\", \"bbox\": [76, 201, 114, 210]}, {\"cell\": \"6:34 ± 0:15\", \"bbox\": [171, 201, 209, 210]}, {\"cell\": \"5:28 ± 0:19\", \"bbox\": [255, 201, 293, 210]}, {\"cell\": \"13:13 ± 0:28\", \"bbox\": [343, 201, 385, 210]}, {\"cell\": \"0:07 ± 0:03\", \"bbox\": [426, 201, 464, 210]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 213, 25, 222]}, {\"cell\": \"1:14 ± 0:09\", \"bbox\": [76, 213, 114, 222]}, {\"cell\": \"7:18 ± 0:32\", \"bbox\": [171, 213, 209, 222]}, {\"cell\": \"5:29 ± 0:31\", \"bbox\": [255, 213, 293, 222]}, {\"cell\": \"14:15 ± 0:59\", \"bbox\": [343, 213, 385, 222]}, {\"cell\": \"0:12 ± 0:04\", \"bbox\": [426, 213, 464, 222]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4556721_008_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
MethodLGA
[EMPTY_CELL]BrisbaneTownsvilleRedlandEmerald
[EMPTY_CELL]19961998/99199720001996200119972007
DSP5-2150-46-202-117-18[EMPTY_CELL]1-75-9
[EMPTY_CELL][EMPTY_CELL]9-24[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
HLM-A10ND122-614-17[EMPTY_CELL]1-56-9
[EMPTY_CELL]12-13[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]17-21[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
HLM-B1020122-614-17[EMPTY_CELL]1-56-9
[EMPTY_CELL]12[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]18-21[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
C1-A3-1246-47122-85-7[EMPTY_CELL]1-2ND
[EMPTY_CELL][EMPTY_CELL]50[EMPTY_CELL][EMPTY_CELL]9-10[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]14[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
C1-B5-1446-48ND2-95-11[EMPTY_CELL]1-5ND
[EMPTY_CELL][EMPTY_CELL]50[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
C2-A5-1647-3ND2-155-16[EMPTY_CELL]1-4ND
[EMPTY_CELL][EMPTY_CELL]7-8[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
C2-B5-1547-48ND2-155-7[EMPTY_CELL]1-3ND
[EMPTY_CELL][EMPTY_CELL]50-51[EMPTY_CELL][EMPTY_CELL]9-15[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
C2-C5-2147-4ND2-165-16[EMPTY_CELL]1-6ND
[EMPTY_CELL][EMPTY_CELL]7-12[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
C2-D5-2147-48ND2-165-15[EMPTY_CELL]1-6ND
[EMPTY_CELL][EMPTY_CELL]50-3[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
NBC-A5-13742-7ND[EMPTY_CELL]NDND
[EMPTY_CELL][EMPTY_CELL]9-126-12[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
NBC-B5-151-164-152-810-15[EMPTY_CELL]2-3ND
NBC-C5-161-176-162-910-16[EMPTY_CELL]NDND
NBC-D5-1751-196-172-119-18[EMPTY_CELL]3-5ND
NBC-E6-1747-79-122-8ND[EMPTY_CELL]ND9-10
NBC-F6-2047-89-152-9ND[EMPTY_CELL]ND9-11
POD-A6-221-442-813-18[EMPTY_CELL]2-6ND
[EMPTY_CELL][EMPTY_CELL]76-10[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]14-2112-13[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]2315[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
POD-B7-241-74-152-914-20[EMPTY_CELL]1-8ND
[EMPTY_CELL][EMPTY_CELL]14-23[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
SaTScan5-2450-236-192-129-21[EMPTY_CELL]1-113-17
\", \"cells\": [{\"cell\": \"Method\", \"bbox\": [1, 4, 29, 12]}, {\"cell\": \"LGA\", \"bbox\": [127, 4, 144, 12]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Brisbane\", \"bbox\": [46, 17, 78, 25]}, {\"cell\": \"Townsville\", \"bbox\": [97, 17, 136, 25]}, {\"cell\": \"Redland\", \"bbox\": [151, 17, 181, 25]}, {\"cell\": \"Emerald\", \"bbox\": [199, 17, 229, 25]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1996\", \"bbox\": [35, 31, 54, 38]}, {\"cell\": \"1998/99\", \"bbox\": [60, 31, 90, 38]}, {\"cell\": \"1997\", \"bbox\": [95, 31, 114, 38]}, {\"cell\": \"2000\", \"bbox\": [119, 31, 138, 38]}, {\"cell\": \"1996\", \"bbox\": [144, 31, 163, 38]}, {\"cell\": \"2001\", \"bbox\": [169, 31, 187, 38]}, {\"cell\": \"1997\", \"bbox\": [193, 31, 212, 38]}, {\"cell\": \"2007\", \"bbox\": [217, 31, 236, 38]}, {\"cell\": \"DSP\", \"bbox\": [1, 44, 15, 51]}, {\"cell\": \"5-21\", \"bbox\": [37, 44, 53, 51]}, {\"cell\": \"50-4\", \"bbox\": [67, 44, 83, 51]}, {\"cell\": 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[EMPTY_CELL] Pregabalin Placebo P value
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Pain intensity 12 hours after the operation, Mean ± SD1.02 ± 1[EMPTY_CELL]< 0.001
Pain intensity 24 hours after the operation, Mean ± SD0.6 ± 0.8[EMPTY_CELL]< 0.001
Nausea, frequency (%)5 (12.5)[EMPTY_CELL]0.003
Vomiting, frequency (%)1 (2.5)[EMPTY_CELL]0.09
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Pregabalin \", \"bbox\": [207, 4, 251, 14]}, {\"cell\": \" Placebo \", \"bbox\": [296, 4, 328, 14]}, {\"cell\": \"P value \", \"bbox\": [386, 4, 415, 14]}, {\"cell\": \"Patients' age, Mean ± SD\", \"bbox\": [4, 17, 90, 27]}, {\"cell\": \"41.1 ± 14.1\", \"bbox\": [207, 17, 240, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [296, 17, 333, 27]}, {\"cell\": \"0.212\", \"bbox\": [386, 17, 405, 27]}, {\"cell\": \"Frequency of men, frequancy (%)\", \"bbox\": [4, 29, 121, 39]}, {\"cell\": \"28 (70)\", \"bbox\": [207, 29, 233, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [296, 29, 326, 39]}, {\"cell\": \"0.108\", \"bbox\": [386, 29, 406, 39]}, {\"cell\": \"Pain intensity at the time of recovery, Mean ± SD\", \"bbox\": [4, 42, 176, 52]}, {\"cell\": \"3.2 ± 1.5\", \"bbox\": [207, 42, 234, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [296, 42, 323, 52]}, {\"cell\": \"< 0.001\", \"bbox\": [386, 42, 414, 52]}, {\"cell\": \"Pain intensity 30 min after the operation, Mean ± SD\", \"bbox\": [4, 54, 191, 64]}, {\"cell\": \"3.1 ± 1.6\", \"bbox\": [207, 54, 235, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [296, 54, 319, 64]}, {\"cell\": \"< 0.001\", \"bbox\": [386, 54, 414, 64]}, {\"cell\": \"Pain intensity 2 hours after the operation, Mean ± SD\", \"bbox\": [4, 67, 192, 77]}, {\"cell\": \"2.7 ± 1.4\", \"bbox\": [207, 67, 235, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [296, 67, 325, 77]}, {\"cell\": \"< 0.001\", \"bbox\": [386, 67, 414, 77]}, {\"cell\": \"Pain intensity 4 hours after the operation, Mean ± SD\", \"bbox\": [4, 79, 192, 89]}, {\"cell\": \"2.5 ± 1.5\", \"bbox\": [207, 79, 235, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [296, 79, 322, 89]}, {\"cell\": \"< 0.001\", \"bbox\": [386, 79, 414, 89]}, {\"cell\": \"Pain intensity 12 hours after the operation, Mean ± SD\", \"bbox\": [4, 92, 195, 102]}, {\"cell\": \"1.02 ± 1\", \"bbox\": [207, 92, 232, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [296, 92, 324, 102]}, {\"cell\": \"< 0.001\", \"bbox\": [386, 92, 414, 102]}, {\"cell\": \"Pain intensity 24 hours after the operation, Mean ± SD\", \"bbox\": [4, 104, 196, 114]}, {\"cell\": \"0.6 ± 0.8\", \"bbox\": [207, 104, 239, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [296, 104, 323, 114]}, {\"cell\": \"< 0.001\", \"bbox\": [386, 104, 414, 114]}, {\"cell\": \"Nausea, frequency (%)\", \"bbox\": [4, 117, 83, 127]}, {\"cell\": \"5 (12.5)\", \"bbox\": [207, 117, 232, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [296, 117, 320, 127]}, {\"cell\": \"0.003\", \"bbox\": [386, 117, 408, 127]}, {\"cell\": \"Vomiting, frequency (%)\", \"bbox\": [4, 130, 90, 140]}, {\"cell\": \"1 (2.5)\", \"bbox\": [207, 130, 228, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [296, 130, 322, 140]}, {\"cell\": \"0.09\", \"bbox\": [386, 130, 404, 140]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3821116_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Microglia (load (%))Meningeal CAAParenchymal CAADiffuse plaquesNeuritic plaquesTangles
A. No dementia
Iba1[EMPTY_CELL]0.72 (0.65; 0.79)1.2 (1.15; 1.25)1.07 (1.02; 1.13)0.74 (0.68; 0.80)
0.064[EMPTY_CELL]<0.0010.003<0.001
CD68[EMPTY_CELL]0.00 (0.00; 0.01)8.62 (3.83; 19.40)0.02 (0.01; 0.07)1.07 (0.06; 19.41)
0.049[EMPTY_CELL]<0.001<0.0010.965
HLA-DR[EMPTY_CELL]0.79 (0.56; 1.12)2.24 (1.77; 2.83)1.02 (0.91; 1.15)0.07 (0.02; 0.25)
<0.001[EMPTY_CELL]<0.0010.728<0.001
MSR-A[EMPTY_CELL]0.03 (0.00; 0.35)1.42 (0.95; 2.13)0.24 (0.14; 0.40)0.44 (0.10; 1.96)
0.001[EMPTY_CELL]0.09<0.0010.283
CD64[EMPTY_CELL]0.70 (0.52; 0.94)1.86 (1.57; 2.20)0.70 (0.58; 0.86)0.77 (0.45; 1.32)
0.505[EMPTY_CELL]<0.0010.0010.343
B. Dementia with Alzheimer’s pathology
Iba1[EMPTY_CELL]1.53 (1.43; 1.64)1.37 (1.24; 1.51)1.5 (1.40; 1.61)1.14 (1.07; 1.21)
<0.001[EMPTY_CELL]<0.001<0.001<0.001
CD68[EMPTY_CELL]1.40 (0.43; 4.55)0.17 (0.06; 0.48)31.65 (11.54; 86.81)49.28 (19.43; 124.99)
0.892[EMPTY_CELL]0.001<0.001<0.001
HLA-DR[EMPTY_CELL]1.07 (0.94; 1.22)3.22 (2.50; 4.15)2.28 (1.65; 3.14)1.74 (1.42; 2.13)
<0.001[EMPTY_CELL]<0.001<0.001<0.001
MSR-A[EMPTY_CELL]2.24 (1.03; 4.84)2.44 (1.15; 5.21)10.31 (5.03; 21.11)3.24 (1.74; 6.04)
0.008[EMPTY_CELL]0.021<0.001<0.001
CD64[EMPTY_CELL]2.14 (1.63; 2.80)21.59 (14.22; 32.78)4.39 (3.39; 5.70)1.27 (0.99; 1.62)
<0.001[EMPTY_CELL]<0.001<0.0010.056
\", \"cells\": [{\"cell\": \"Microglia (load (%))\", \"bbox\": [1, 4, 64, 13]}, {\"cell\": \"Meningeal CAA\", \"bbox\": [83, 4, 135, 13]}, {\"cell\": \"Parenchymal CAA\", \"bbox\": [158, 4, 217, 13]}, {\"cell\": \"Diffuse plaques\", \"bbox\": [236, 4, 287, 13]}, {\"cell\": \"Neuritic plaques\", \"bbox\": [324, 4, 378, 13]}, {\"cell\": \"Tangles\", \"bbox\": [412, 4, 438, 13]}, {\"cell\": \"A. No dementia\", \"bbox\": [1, 17, 53, 27]}, {\"cell\": \"Iba1\", \"bbox\": [1, 31, 16, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [83, 31, 134, 41]}, {\"cell\": \"0.72 (0.65; 0.79)\", \"bbox\": [158, 31, 208, 41]}, {\"cell\": \"1.2 (1.15; 1.25)\", \"bbox\": [236, 31, 288, 41]}, {\"cell\": \"1.07 (1.02; 1.13)\", \"bbox\": [324, 31, 380, 41]}, {\"cell\": \"0.74 (0.68; 0.80)\", \"bbox\": [412, 31, 461, 41]}, {\"cell\": \"0.064\", \"bbox\": [83, 45, 102, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 45, 181, 55]}, {\"cell\": \"<0.001\", \"bbox\": [236, 45, 262, 55]}, {\"cell\": \"0.003\", \"bbox\": [324, 45, 345, 53]}, {\"cell\": \"<0.001\", \"bbox\": [412, 45, 434, 55]}, {\"cell\": \"CD68\", \"bbox\": [1, 59, 20, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [83, 59, 133, 69]}, {\"cell\": \"0.00 (0.00; 0.01)\", \"bbox\": [158, 59, 208, 69]}, {\"cell\": \"8.62 (3.83; 19.40)\", \"bbox\": [236, 59, 296, 69]}, {\"cell\": \"0.02 (0.01; 0.07)\", \"bbox\": [324, 59, 373, 69]}, {\"cell\": \"1.07 (0.06; 19.41)\", \"bbox\": [412, 59, 466, 69]}, {\"cell\": \"0.049\", \"bbox\": [83, 74, 101, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 73, 181, 83]}, {\"cell\": \"<0.001\", \"bbox\": [236, 73, 262, 83]}, {\"cell\": \"<0.001\", \"bbox\": [324, 73, 347, 83]}, {\"cell\": \"0.965\", \"bbox\": [412, 73, 430, 83]}, {\"cell\": \"HLA-DR\", \"bbox\": [1, 87, 27, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [83, 87, 133, 97]}, {\"cell\": \"0.79 (0.56; 1.12)\", \"bbox\": [158, 87, 209, 97]}, {\"cell\": \"2.24 (1.77; 2.83)\", \"bbox\": [236, 87, 292, 97]}, {\"cell\": \"1.02 (0.91; 1.15)\", \"bbox\": [324, 87, 375, 97]}, {\"cell\": \"0.07 (0.02; 0.25)\", \"bbox\": [412, 87, 461, 97]}, {\"cell\": \"<0.001\", \"bbox\": [83, 101, 106, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 101, 177, 111]}, {\"cell\": \"<0.001\", \"bbox\": [236, 101, 262, 111]}, {\"cell\": \"0.728\", \"bbox\": [324, 101, 343, 111]}, {\"cell\": \"<0.001\", \"bbox\": [412, 101, 434, 111]}, {\"cell\": \"MSR-A\", \"bbox\": [0, 115, 23, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [83, 115, 133, 125]}, {\"cell\": \"0.03 (0.00; 0.35)\", \"bbox\": [158, 115, 208, 125]}, {\"cell\": \"1.42 (0.95; 2.13)\", \"bbox\": [236, 115, 287, 125]}, {\"cell\": \"0.24 (0.14; 0.40)\", \"bbox\": [324, 115, 373, 125]}, {\"cell\": \"0.44 (0.10; 1.96)\", \"bbox\": [412, 115, 462, 125]}, {\"cell\": \"0.001\", \"bbox\": [83, 130, 101, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 130, 176, 137]}, {\"cell\": \"0.09\", \"bbox\": [236, 129, 251, 139]}, {\"cell\": \"<0.001\", \"bbox\": [324, 129, 347, 139]}, {\"cell\": \"0.283\", \"bbox\": [412, 129, 430, 139]}, {\"cell\": \"CD64\", \"bbox\": [1, 143, 20, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [83, 143, 134, 153]}, {\"cell\": \"0.70 (0.52; 0.94)\", \"bbox\": [158, 143, 208, 153]}, {\"cell\": \"1.86 (1.57; 2.20)\", \"bbox\": [236, 143, 292, 153]}, {\"cell\": \"0.70 (0.58; 0.86)\", \"bbox\": [324, 143, 373, 153]}, {\"cell\": \"0.77 (0.45; 1.32)\", \"bbox\": [412, 143, 462, 153]}, {\"cell\": \"0.505\", \"bbox\": [83, 157, 102, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 158, 176, 165]}, {\"cell\": \"<0.001\", \"bbox\": [236, 157, 262, 167]}, {\"cell\": \"0.001\", \"bbox\": [324, 158, 342, 165]}, {\"cell\": \"0.343\", \"bbox\": [412, 157, 430, 167]}, {\"cell\": \"B. Dementia with Alzheimer’s pathology\", \"bbox\": [0, 171, 131, 181]}, {\"cell\": \"Iba1\", \"bbox\": [1, 185, 16, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [83, 185, 139, 195]}, {\"cell\": \"1.53 (1.43; 1.64)\", \"bbox\": [158, 185, 214, 195]}, {\"cell\": \"1.37 (1.24; 1.51)\", \"bbox\": [236, 185, 292, 195]}, {\"cell\": \"1.5 (1.40; 1.61)\", \"bbox\": [324, 185, 376, 195]}, {\"cell\": \"1.14 (1.07; 1.21)\", \"bbox\": [412, 185, 467, 195]}, {\"cell\": \"<0.001\", \"bbox\": [83, 199, 109, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 199, 184, 209]}, {\"cell\": \"<0.001\", \"bbox\": [236, 199, 262, 209]}, {\"cell\": \"<0.001\", \"bbox\": [324, 199, 349, 209]}, {\"cell\": \"<0.001\", \"bbox\": [412, 199, 437, 209]}, {\"cell\": \"CD68\", \"bbox\": [1, 213, 20, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [83, 213, 134, 223]}, {\"cell\": \"1.40 (0.43; 4.55)\", \"bbox\": [158, 213, 209, 223]}, {\"cell\": \"0.17 (0.06; 0.48)\", \"bbox\": [236, 213, 286, 223]}, {\"cell\": \"31.65 (11.54; 86.81)\", \"bbox\": [324, 213, 393, 223]}, {\"cell\": \"49.28 (19.43; 124.99)\", \"bbox\": [412, 213, 484, 223]}, {\"cell\": \"0.892\", \"bbox\": [83, 227, 102, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 227, 177, 237]}, {\"cell\": \"0.001\", \"bbox\": [236, 227, 254, 235]}, {\"cell\": \"<0.001\", \"bbox\": [324, 227, 349, 237]}, {\"cell\": \"<0.001\", \"bbox\": [412, 227, 437, 237]}, {\"cell\": \"HLA-DR\", \"bbox\": [1, 241, 27, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [83, 241, 133, 251]}, {\"cell\": \"1.07 (0.94; 1.22)\", \"bbox\": [158, 241, 209, 251]}, {\"cell\": \"3.22 (2.50; 4.15)\", \"bbox\": [236, 241, 292, 251]}, {\"cell\": \"2.28 (1.65; 3.14)\", \"bbox\": [324, 241, 380, 251]}, {\"cell\": \"1.74 (1.42; 2.13)\", \"bbox\": [412, 241, 467, 251]}, {\"cell\": \"<0.001\", \"bbox\": [83, 255, 106, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 255, 177, 265]}, {\"cell\": \"<0.001\", \"bbox\": [236, 255, 262, 265]}, {\"cell\": \"<0.001\", \"bbox\": [324, 255, 349, 265]}, {\"cell\": \"<0.001\", \"bbox\": [412, 255, 437, 265]}, {\"cell\": \"MSR-A\", \"bbox\": [1, 269, 23, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [83, 269, 139, 279]}, {\"cell\": \"2.24 (1.03; 4.84)\", \"bbox\": [158, 269, 214, 279]}, {\"cell\": \"2.44 (1.15; 5.21)\", \"bbox\": [236, 269, 292, 279]}, {\"cell\": \"10.31 (5.03; 21.11)\", \"bbox\": [324, 269, 388, 279]}, {\"cell\": \"3.24 (1.74; 6.04)\", \"bbox\": [412, 269, 467, 279]}, {\"cell\": \"0.008\", \"bbox\": [83, 283, 104, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 283, 179, 291]}, {\"cell\": \"0.021\", \"bbox\": [236, 283, 257, 291]}, {\"cell\": \"<0.001\", \"bbox\": [324, 283, 349, 293]}, {\"cell\": \"<0.001\", \"bbox\": [412, 283, 437, 293]}, {\"cell\": \"CD64\", \"bbox\": [1, 297, 20, 307]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [83, 297, 139, 307]}, {\"cell\": \"2.14 (1.63; 2.80)\", \"bbox\": [158, 297, 214, 307]}, {\"cell\": \"21.59 (14.22; 32.78)\", \"bbox\": [236, 297, 305, 307]}, {\"cell\": \"4.39 (3.39; 5.70)\", \"bbox\": [324, 297, 380, 307]}, {\"cell\": \"1.27 (0.99; 1.62)\", \"bbox\": [412, 297, 462, 307]}, {\"cell\": \"<0.001\", \"bbox\": [83, 311, 109, 321]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 311, 184, 321]}, {\"cell\": \"<0.001\", \"bbox\": [236, 311, 262, 321]}, {\"cell\": \"<0.001\", \"bbox\": [324, 311, 349, 321]}, {\"cell\": \"0.056\", \"bbox\": [412, 311, 430, 321]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4890505_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariableChildhood Traumatic EventsAdulthood Traumatic EventsTraumatic Events Involving an InfantLifetime Traumatic Events
Yes (n = 14)No (n = 14)Yes (n = 7)No (n = 21)Yes (n = 4)No (n = 24)Yes (n = 5)No (n = 23)
Impaired Bonding
4 weeks postpartum[EMPTY_CELL]2.57 (1.56)1.43 (0.98)3.71 (5.26)9.25 (10.69)2.12 (1.73)7.60 (9.97)2.17 (1.75)
8 weeks postpartum[EMPTY_CELL]4.14 (1.96)4.86 (3.44)4.95 (3.88)9.25 (4.99)*4.21 (3.02)7.40 (5.98)4.39 (2.95)
Rejection and Anger
4 weeks postpartum[EMPTY_CELL]1.21 (2.39)0.14 (0.38)0.86 (2.03)3.25 (3.95)0.25 (0.61)2.80 (3.56)*0.22 (0.60)
8 weeks postpartum[EMPTY_CELL]0.79 (1.37)0.14 (0.38)*1.86 (2.80)3.00 (5.35)1.17 (1.81)2.20 (4.92)1.26 (1.82)
Anxiety about Care
4 weeks postpartum[EMPTY_CELL]0.86 (1.70)0.29 (0.76)1.57 (2.27)4.50 (3.42)*0.71 (1.16)2.80 (3.35)0.91 (1.59)
8 weeks postpartum[EMPTY_CELL]1.14 (1.79)0.00 (0.00)*1.90 (1.90)2.75 (2.50)1.21 (1.67)1.60 (2.61)1.39 (1.70)
\", \"cells\": [{\"cell\": \"Variable\", \"bbox\": [1, 4, 27, 13]}, {\"cell\": \"Childhood Traumatic Events\", \"bbox\": [80, 4, 173, 13]}, {\"cell\": \"Adulthood Traumatic Events\", \"bbox\": [178, 4, 271, 13]}, {\"cell\": \"Traumatic Events Involving an Infant\", \"bbox\": [276, 4, 395, 13]}, {\"cell\": \"Lifetime Traumatic Events\", \"bbox\": [400, 4, 484, 13]}, {\"cell\": \"Yes (n = 14)\", \"bbox\": [80, 17, 119, 27]}, {\"cell\": \"No (n = 14)\", \"bbox\": [130, 17, 167, 27]}, {\"cell\": \"Yes (n = 7)\", \"bbox\": [178, 17, 213, 27]}, {\"cell\": \"No (n = 21)\", \"bbox\": [227, 17, 264, 27]}, {\"cell\": \"Yes (n = 4)\", \"bbox\": [276, 17, 311, 27]}, {\"cell\": \"No (n = 24)\", \"bbox\": [338, 17, 375, 27]}, {\"cell\": \"Yes (n = 5)\", \"bbox\": [400, 17, 435, 27]}, {\"cell\": \"No (n = 23)\", \"bbox\": [444, 17, 482, 27]}, {\"cell\": \"Impaired Bonding\", \"bbox\": [1, 30, 60, 40]}, {\"cell\": \" 4 weeks postpartum\", \"bbox\": [8, 44, 76, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 44, 115, 54]}, {\"cell\": \"2.57 (1.56)\", \"bbox\": [130, 44, 164, 54]}, {\"cell\": \"1.43 (0.98)\", \"bbox\": [178, 44, 212, 54]}, {\"cell\": \"3.71 (5.26)\", \"bbox\": [227, 44, 261, 54]}, {\"cell\": \"9.25 (10.69)\", \"bbox\": [276, 44, 314, 54]}, {\"cell\": \"2.12 (1.73)\", \"bbox\": [338, 44, 372, 54]}, {\"cell\": \"7.60 (9.97)\", \"bbox\": [400, 44, 434, 54]}, {\"cell\": \"2.17 (1.75)\", \"bbox\": [444, 44, 478, 54]}, {\"cell\": \" 8 weeks postpartum\", \"bbox\": [8, 58, 76, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 58, 115, 68]}, {\"cell\": \"4.14 (1.96)\", \"bbox\": [130, 58, 164, 68]}, {\"cell\": \"4.86 (3.44)\", \"bbox\": [178, 58, 212, 68]}, {\"cell\": \"4.95 (3.88)\", \"bbox\": [227, 58, 261, 68]}, {\"cell\": \"9.25 (4.99)*\", \"bbox\": [276, 58, 313, 68]}, {\"cell\": \"4.21 (3.02)\", \"bbox\": [338, 58, 372, 68]}, {\"cell\": \"7.40 (5.98)\", \"bbox\": [400, 58, 434, 68]}, {\"cell\": \"4.39 (2.95)\", \"bbox\": [444, 58, 478, 68]}, {\"cell\": \"Rejection and Anger\", \"bbox\": [1, 72, 68, 82]}, {\"cell\": \" 4 weeks postpartum\", \"bbox\": [8, 86, 76, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 86, 115, 96]}, {\"cell\": \"1.21 (2.39)\", \"bbox\": [130, 86, 164, 96]}, {\"cell\": \"0.14 (0.38)\", \"bbox\": [178, 86, 212, 96]}, {\"cell\": \"0.86 (2.03)\", \"bbox\": [227, 86, 261, 96]}, {\"cell\": \"3.25 (3.95)\", \"bbox\": [276, 86, 310, 96]}, {\"cell\": \"0.25 (0.61)\", \"bbox\": [338, 86, 372, 96]}, {\"cell\": \"2.80 (3.56)*\", \"bbox\": [400, 86, 437, 96]}, {\"cell\": \"0.22 (0.60)\", \"bbox\": [444, 86, 478, 96]}, {\"cell\": \" 8 weeks postpartum\", \"bbox\": [8, 100, 76, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 100, 115, 110]}, {\"cell\": \"0.79 (1.37)\", \"bbox\": [130, 100, 164, 110]}, {\"cell\": \"0.14 (0.38)*\", \"bbox\": [178, 100, 215, 110]}, {\"cell\": \"1.86 (2.80)\", \"bbox\": [227, 100, 261, 110]}, {\"cell\": \"3.00 (5.35)\", \"bbox\": [276, 100, 310, 110]}, {\"cell\": \"1.17 (1.81)\", \"bbox\": [338, 100, 372, 110]}, {\"cell\": \"2.20 (4.92)\", \"bbox\": [400, 100, 434, 110]}, {\"cell\": \"1.26 (1.82)\", \"bbox\": [444, 100, 478, 110]}, {\"cell\": \"Anxiety about Care\", \"bbox\": [1, 114, 64, 124]}, {\"cell\": \" 4 weeks postpartum\", \"bbox\": [8, 128, 76, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 128, 115, 138]}, {\"cell\": \"0.86 (1.70)\", \"bbox\": [130, 128, 164, 138]}, {\"cell\": \"0.29 (0.76)\", \"bbox\": [178, 128, 212, 138]}, {\"cell\": \"1.57 (2.27)\", \"bbox\": [227, 128, 261, 138]}, {\"cell\": \"4.50 (3.42)*\", \"bbox\": [276, 128, 313, 138]}, {\"cell\": \"0.71 (1.16)\", \"bbox\": [338, 128, 372, 138]}, {\"cell\": \"2.80 (3.35)\", \"bbox\": [400, 128, 434, 138]}, {\"cell\": \"0.91 (1.59)\", \"bbox\": [444, 128, 478, 138]}, {\"cell\": \" 8 weeks postpartum\", \"bbox\": [8, 142, 76, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 142, 115, 152]}, {\"cell\": \"1.14 (1.79)\", \"bbox\": [130, 142, 164, 152]}, {\"cell\": \"0.00 (0.00)*\", \"bbox\": [178, 142, 215, 152]}, {\"cell\": \"1.90 (1.90)\", \"bbox\": [227, 142, 261, 152]}, {\"cell\": \"2.75 (2.50)\", \"bbox\": [276, 142, 310, 152]}, {\"cell\": \"1.21 (1.67)\", \"bbox\": [338, 142, 372, 152]}, {\"cell\": \"1.60 (2.61)\", \"bbox\": [400, 142, 434, 152]}, {\"cell\": \"1.39 (1.70)\", \"bbox\": [444, 142, 478, 152]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5796394_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Fixed Effects (Predictors)Model Vaccination 1Model Vaccination 2Model Vaccination 3
Intercept3.18 **[EMPTY_CELL]3.20 **
Attitudes0.66 **[EMPTY_CELL]0.60 **
Self-efficacy0.00[EMPTY_CELL]-
Subjective norms0.03 *[EMPTY_CELL]-
Descriptive norms0.01[EMPTY_CELL]-
CSS slice group norms-[EMPTY_CELL]0.45 *
Motivations to comply x CSS slice group norms-[EMPTY_CELL]0.07 **
Cognitive work group identification x CSS slice group norms-[EMPTY_CELL]-
Affective work group identification x CSS slice group norms-[EMPTY_CELL]-
CSS consensus group norms-[EMPTY_CELL]1.59 *
CSS consensus group norm separation x CSS slice group norms-[EMPTY_CELL]−6.40 **
R2 (Additional level-1 variance explained compared to null model)23.5%[EMPTY_CELL]25.5%
R2 (Additional level-2 variance explained compared to null model)-[EMPTY_CELL]7.6%
Random EffectsDeviance[EMPTY_CELL]χ2 (df)
Model Vaccination 1: Intercept, u0516.692[EMPTY_CELL]36.5 (19) **
Level 1 variance, rij-[EMPTY_CELL][EMPTY_CELL]
Model Vaccination 2: Intercept u0525.874[EMPTY_CELL]38.4 (19) **
Level 1 variance, rij-[EMPTY_CELL][EMPTY_CELL]
Model Vaccination 3: Intercept, u0520.307[EMPTY_CELL]30.7 (18) *
Level 1 variance, rij-[EMPTY_CELL]-
\", \"cells\": [{\"cell\": \"Fixed Effects (Predictors)\", \"bbox\": [80, 15, 180, 25]}, {\"cell\": \"Model Vaccination 1\", \"bbox\": [262, 7, 317, 32]}, {\"cell\": \"Model Vaccination 2\", \"bbox\": [326, 7, 381, 32]}, {\"cell\": \"Model Vaccination 3\", \"bbox\": [391, 7, 446, 32]}, {\"cell\": \"Intercept\", \"bbox\": [113, 38, 147, 48]}, {\"cell\": \"3.18 **\", \"bbox\": [279, 38, 308, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 38, 373, 48]}, {\"cell\": \"3.20 **\", \"bbox\": [412, 38, 441, 48]}, {\"cell\": \"Attitudes\", \"bbox\": [112, 53, 147, 63]}, {\"cell\": \"0.66 **\", \"bbox\": [279, 53, 308, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 53, 373, 63]}, {\"cell\": \"0.60 **\", \"bbox\": [412, 53, 441, 63]}, {\"cell\": \"Self-efficacy\", \"bbox\": [106, 68, 154, 78]}, {\"cell\": \"0.00\", \"bbox\": [285, 68, 302, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [351, 68, 356, 78]}, {\"cell\": \"-\", \"bbox\": [416, 68, 421, 78]}, {\"cell\": \"Subjective norms\", \"bbox\": [97, 83, 162, 93]}, {\"cell\": \"0.03 *\", \"bbox\": [281, 83, 306, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [351, 83, 356, 93]}, {\"cell\": \"-\", \"bbox\": [416, 83, 421, 93]}, {\"cell\": \"Descriptive norms\", \"bbox\": [96, 98, 164, 108]}, {\"cell\": \"0.01\", \"bbox\": [284, 98, 302, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [351, 98, 356, 108]}, {\"cell\": \"-\", \"bbox\": [416, 98, 421, 108]}, {\"cell\": \"CSS slice group norms\", \"bbox\": [87, 113, 172, 123]}, {\"cell\": \"-\", \"bbox\": [287, 113, 292, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 110, 368, 124]}, {\"cell\": \"0.45 *\", \"bbox\": [414, 113, 439, 123]}, {\"cell\": \"Motivations to comply x CSS slice group norms\", \"bbox\": [42, 128, 218, 138]}, {\"cell\": \"-\", \"bbox\": [287, 128, 292, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [347, 128, 371, 138]}, {\"cell\": \"0.07 **\", \"bbox\": [412, 128, 441, 138]}, {\"cell\": \"Cognitive work group identification x CSS slice group norms\", \"bbox\": [18, 143, 241, 153]}, {\"cell\": \"-\", \"bbox\": [287, 143, 292, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [346, 143, 371, 153]}, {\"cell\": \"-\", \"bbox\": [416, 143, 421, 153]}, {\"cell\": \"Affective work group identification x CSS slice group norms\", \"bbox\": [19, 158, 241, 168]}, {\"cell\": \"-\", \"bbox\": [287, 158, 292, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 155, 368, 169]}, {\"cell\": \"-\", \"bbox\": [416, 158, 421, 168]}, {\"cell\": \"CSS consensus group norms\", \"bbox\": [77, 173, 182, 183]}, {\"cell\": \"-\", \"bbox\": [287, 173, 292, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [351, 173, 356, 183]}, {\"cell\": \"1.59 *\", \"bbox\": [415, 173, 439, 183]}, {\"cell\": \"CSS consensus group norm separation x CSS slice group norms\", \"bbox\": [14, 188, 246, 198]}, {\"cell\": \"-\", \"bbox\": [287, 188, 292, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [350, 188, 355, 198]}, {\"cell\": \"−6.40 **\", \"bbox\": [401, 185, 435, 199]}, {\"cell\": \"R2 (Additional level-1 variance explained compared to null model)\", \"bbox\": [9, 202, 251, 213]}, {\"cell\": \"23.5%\", \"bbox\": [277, 203, 302, 213]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [341, 203, 366, 213]}, {\"cell\": \"25.5%\", \"bbox\": [406, 203, 431, 213]}, {\"cell\": \"R2 (Additional level-2 variance explained compared to null model)\", \"bbox\": [9, 217, 251, 228]}, {\"cell\": \"-\", \"bbox\": [287, 218, 292, 228]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [351, 218, 356, 228]}, {\"cell\": \"7.6%\", \"bbox\": [408, 218, 429, 228]}, {\"cell\": \"Random Effects\", \"bbox\": [100, 233, 160, 243]}, {\"cell\": \"Deviance\", \"bbox\": [271, 233, 307, 243]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [336, 233, 370, 243]}, {\"cell\": \"χ2 (df)\", \"bbox\": [406, 230, 430, 244]}, {\"cell\": \"Model Vaccination 1: Intercept, u0\", \"bbox\": [66, 248, 193, 258]}, {\"cell\": \"516.692\", \"bbox\": [274, 248, 305, 258]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [342, 248, 364, 258]}, {\"cell\": \"36.5 (19) **\", \"bbox\": [395, 248, 441, 258]}, {\"cell\": \"Level 1 variance, rij\", \"bbox\": [93, 263, 166, 273]}, {\"cell\": \"-\", \"bbox\": [287, 263, 292, 273]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [342, 263, 364, 273]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Model Vaccination 2: Intercept u0\", \"bbox\": [68, 278, 192, 288]}, {\"cell\": \"525.874\", \"bbox\": [274, 278, 305, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [342, 278, 364, 288]}, {\"cell\": \"38.4 (19) **\", \"bbox\": [395, 278, 441, 288]}, {\"cell\": \"Level 1 variance, rij\", \"bbox\": [93, 293, 166, 303]}, {\"cell\": \"-\", \"bbox\": [287, 293, 292, 303]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [342, 293, 364, 303]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Model Vaccination 3: Intercept, u0\", \"bbox\": [66, 308, 193, 318]}, {\"cell\": \"520.307\", \"bbox\": [274, 308, 305, 318]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [342, 308, 364, 318]}, {\"cell\": \"30.7 (18) *\", \"bbox\": [397, 308, 439, 318]}, {\"cell\": \"Level 1 variance, rij\", \"bbox\": [93, 323, 166, 333]}, {\"cell\": \"-\", \"bbox\": [287, 323, 292, 333]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [342, 323, 364, 333]}, {\"cell\": \"-\", \"bbox\": [416, 323, 421, 333]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4586695_010_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
CharacteristicsN (%)
[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]10 (4.3)
[EMPTY_CELL]118 (51.0)
[EMPTY_CELL]105 (45.1)
[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]112 (48.1)
[EMPTY_CELL]121 (51.9)
[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]61 (26.2)
[EMPTY_CELL]172 (73.8)
[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]31 (13.3)
[EMPTY_CELL]80 (34.3)
[EMPTY_CELL]122 (52.4)
[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]33 (14.1)
[EMPTY_CELL]53 (22.7)
[EMPTY_CELL]106 (45.5)
[EMPTY_CELL]41 (17.6)
[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]119 (51.1)
[EMPTY_CELL]114 (48.9)
[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]3 (1.3)
[EMPTY_CELL]203 (87.1)
[EMPTY_CELL]27 (11.6)
[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]199 (85.4)
[EMPTY_CELL]11 (4.7)
[EMPTY_CELL]23 (9.9)
[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]13 (5.6)
[EMPTY_CELL]46 (19.8)
[EMPTY_CELL]144 (61.8)
[EMPTY_CELL]30 (12.9)
[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]28 (12.0)
[EMPTY_CELL]128 (54.9)
[EMPTY_CELL]75 (32.2)
[EMPTY_CELL]2 (0.9)
[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]109 (46.8)
[EMPTY_CELL]79 (33.9)
[EMPTY_CELL]23 (9.9)
[EMPTY_CELL]8 (3.4)
[EMPTY_CELL]14 (6.0)
\", \"cells\": [{\"cell\": \"Characteristics\", \"bbox\": [1, 2, 56, 12]}, {\"cell\": \"N (%)\", \"bbox\": [207, 2, 232, 12]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 14, 48, 25]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 27, 38, 37]}, {\"cell\": \"10 (4.3)\", \"bbox\": [204, 27, 235, 37]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 39, 45, 50]}, {\"cell\": \"118 (51.0)\", \"bbox\": [200, 39, 239, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 52, 42, 62]}, {\"cell\": \"105 (45.1)\", \"bbox\": [200, 52, 239, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 64, 29, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 77, 38, 87]}, {\"cell\": \"112 (48.1)\", \"bbox\": [200, 77, 239, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 89, 30, 100]}, {\"cell\": \"121 (51.9)\", \"bbox\": [200, 89, 239, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 101, 66, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 114, 23, 124]}, {\"cell\": \"61 (26.2)\", \"bbox\": [202, 114, 237, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 126, 24, 137]}, {\"cell\": \"172 (73.8)\", \"bbox\": [200, 126, 239, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 139, 105, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 151, 111, 162]}, {\"cell\": \"31 (13.3)\", \"bbox\": [202, 151, 237, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 164, 135, 174]}, {\"cell\": \"80 (34.3)\", \"bbox\": [202, 164, 237, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 176, 76, 187]}, {\"cell\": \"122 (52.4)\", \"bbox\": [200, 176, 239, 187]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 189, 80, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 201, 15, 212]}, {\"cell\": \"33 (14.1)\", \"bbox\": [202, 201, 237, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 214, 18, 224]}, {\"cell\": \"53 (22.7)\", \"bbox\": [202, 214, 237, 224]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 226, 22, 237]}, {\"cell\": \"106 (45.5)\", \"bbox\": [200, 226, 239, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 239, 21, 249]}, {\"cell\": \"41 (17.6)\", \"bbox\": [202, 239, 237, 249]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 251, 135, 261]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 263, 24, 274]}, {\"cell\": \"119 (51.1)\", \"bbox\": [200, 263, 239, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 276, 23, 286]}, {\"cell\": \"114 (48.9)\", \"bbox\": [200, 276, 239, 286]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 288, 110, 299]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 301, 24, 311]}, {\"cell\": \"3 (1.3)\", \"bbox\": [207, 301, 232, 311]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 313, 23, 324]}, {\"cell\": \"203 (87.1)\", \"bbox\": [200, 313, 239, 324]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 326, 60, 336]}, {\"cell\": \"27 (11.6)\", \"bbox\": [202, 326, 237, 336]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 338, 81, 349]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 351, 40, 361]}, {\"cell\": \"199 (85.4)\", \"bbox\": [200, 351, 239, 361]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 363, 63, 373]}, {\"cell\": \"11 (4.7)\", \"bbox\": [204, 363, 235, 373]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 375, 60, 386]}, {\"cell\": \"23 (9.9)\", \"bbox\": [204, 375, 235, 386]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 388, 88, 398]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 400, 30, 411]}, {\"cell\": \"13 (5.6)\", \"bbox\": [204, 400, 235, 411]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 413, 33, 423]}, {\"cell\": \"46 (19.8)\", \"bbox\": [202, 413, 237, 423]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 425, 45, 436]}, {\"cell\": \"144 (61.8)\", \"bbox\": [200, 425, 239, 436]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 438, 49, 448]}, {\"cell\": \"30 (12.9)\", \"bbox\": [202, 438, 237, 448]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 450, 73, 461]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 463, 107, 473]}, {\"cell\": \"28 (12.0)\", \"bbox\": [202, 463, 237, 473]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 475, 119, 486]}, {\"cell\": \"128 (54.9)\", \"bbox\": [200, 475, 239, 486]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 488, 118, 498]}, {\"cell\": \"75 (32.2)\", \"bbox\": [202, 488, 237, 498]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 500, 165, 511]}, {\"cell\": \"2 (0.9)\", \"bbox\": [207, 500, 232, 511]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 512, 77, 523]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 525, 77, 536]}, {\"cell\": \"109 (46.8)\", \"bbox\": [200, 525, 239, 536]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 537, 98, 548]}, {\"cell\": \"79 (33.9)\", \"bbox\": [202, 537, 237, 548]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 550, 78, 560]}, {\"cell\": \"23 (9.9)\", \"bbox\": [204, 550, 235, 560]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 562, 95, 573]}, {\"cell\": \"8 (3.4)\", \"bbox\": [207, 562, 232, 573]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 575, 145, 585]}, {\"cell\": \"14 (6.0)\", \"bbox\": [204, 575, 235, 585]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3124224_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Improved (n = 133)Unchanged or worsened (n = 28)
[EMPTY_CELL][EMPTY_CELL]SRMRIESSRMRI
Brief Pain Inventory[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Pain severity index1[EMPTY_CELL]1.712.171.001.361.39
Function interference index2[EMPTY_CELL]1.562.161.271.401.56
WOMAC3[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Pain[EMPTY_CELL]-2.82-3.01-1.61-1.84-2.07
Stiffness[EMPTY_CELL]-1.90-1.76-1.56-1.25-1.33
Physical function[EMPTY_CELL]-2.75-2.53-1.35-1.53-1.50
SF-36 Scale4[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Physical functioning[EMPTY_CELL]1.682.011.351.531.50
Role-physical[EMPTY_CELL]1.021.011.261.191.10
Bodily pain[EMPTY_CELL]1.951.802.161.311.17
General health[EMPTY_CELL]0.400.43-0.36-0.41-0.42
Vitality[EMPTY_CELL]0.881.190.460.580.66
Social functioning[EMPTY_CELL]0.970.840.400.500.46
Role-emotional[EMPTY_CELL]0.600.400.230.190.18
Mental health[EMPTY_CELL]0.690.590.010.010.01
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Improved (n = 133)\", \"bbox\": [168, 4, 237, 13]}, {\"cell\": \"Unchanged or worsened (n = 28)\", \"bbox\": [325, 4, 443, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [145, 17, 155, 27]}, {\"cell\": \"SRM\", \"bbox\": [194, 17, 211, 27]}, {\"cell\": \"RI\", \"bbox\": [251, 17, 259, 27]}, {\"cell\": \"ES\", \"bbox\": [310, 17, 320, 27]}, {\"cell\": \"SRM\", \"bbox\": [375, 17, 392, 27]}, {\"cell\": \"RI\", \"bbox\": [448, 17, 456, 27]}, {\"cell\": \"Brief Pain Inventory\", \"bbox\": [1, 30, 72, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Pain severity index1\", \"bbox\": [1, 41, 65, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 42, 157, 52]}, {\"cell\": \"1.71\", \"bbox\": [195, 42, 210, 52]}, {\"cell\": \"2.17\", \"bbox\": [248, 42, 262, 52]}, {\"cell\": \"1.00\", \"bbox\": [308, 42, 323, 52]}, {\"cell\": \"1.36\", \"bbox\": [376, 42, 391, 52]}, {\"cell\": \"1.39\", \"bbox\": [445, 42, 460, 52]}, {\"cell\": \"Function interference index2\", \"bbox\": [1, 53, 94, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 54, 157, 64]}, {\"cell\": \"1.56\", \"bbox\": [195, 54, 210, 64]}, {\"cell\": \"2.16\", \"bbox\": [248, 54, 262, 64]}, {\"cell\": \"1.27\", \"bbox\": [308, 54, 323, 64]}, {\"cell\": \"1.40\", \"bbox\": [376, 54, 391, 64]}, {\"cell\": \"1.56\", \"bbox\": [445, 54, 460, 64]}, {\"cell\": \"WOMAC3\", \"bbox\": [1, 65, 34, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Pain\", \"bbox\": [1, 78, 16, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [141, 78, 159, 88]}, {\"cell\": \"-2.82\", \"bbox\": [194, 78, 211, 88]}, {\"cell\": \"-3.01\", \"bbox\": [246, 78, 263, 88]}, {\"cell\": \"-1.61\", \"bbox\": [307, 78, 324, 88]}, {\"cell\": \"-1.84\", \"bbox\": [375, 78, 392, 88]}, {\"cell\": \"-2.07\", \"bbox\": [444, 78, 461, 88]}, {\"cell\": \"Stiffness\", \"bbox\": [1, 90, 28, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [141, 90, 159, 100]}, {\"cell\": \"-1.90\", \"bbox\": [194, 90, 211, 100]}, {\"cell\": \"-1.76\", \"bbox\": [246, 90, 263, 100]}, {\"cell\": \"-1.56\", \"bbox\": [307, 90, 324, 100]}, {\"cell\": \"-1.25\", \"bbox\": [375, 90, 392, 100]}, {\"cell\": \"-1.33\", \"bbox\": [444, 90, 461, 100]}, {\"cell\": \"Physical function\", \"bbox\": [1, 102, 57, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [141, 102, 159, 112]}, {\"cell\": \"-2.75\", \"bbox\": [194, 102, 211, 112]}, {\"cell\": \"-2.53\", \"bbox\": [246, 102, 263, 112]}, {\"cell\": \"-1.35\", \"bbox\": [307, 102, 324, 112]}, {\"cell\": \"-1.53\", \"bbox\": [375, 102, 392, 112]}, {\"cell\": \"-1.50\", \"bbox\": [444, 102, 461, 112]}, {\"cell\": \"SF-36 Scale4\", \"bbox\": [1, 112, 45, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Physical functioning\", \"bbox\": [1, 126, 67, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 126, 157, 136]}, {\"cell\": \"1.68\", \"bbox\": [195, 126, 210, 136]}, {\"cell\": \"2.01\", \"bbox\": [248, 126, 262, 136]}, {\"cell\": \"1.35\", \"bbox\": [308, 126, 323, 136]}, {\"cell\": \"1.53\", \"bbox\": [376, 126, 391, 136]}, {\"cell\": \"1.50\", \"bbox\": [445, 126, 460, 136]}, {\"cell\": \"Role-physical\", \"bbox\": [1, 138, 44, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 138, 157, 148]}, {\"cell\": \"1.02\", \"bbox\": [195, 138, 210, 148]}, {\"cell\": \"1.01\", \"bbox\": [248, 138, 262, 148]}, {\"cell\": \"1.26\", \"bbox\": [308, 138, 323, 148]}, {\"cell\": \"1.19\", \"bbox\": [376, 138, 391, 148]}, {\"cell\": \"1.10\", \"bbox\": [445, 138, 460, 148]}, {\"cell\": \"Bodily pain\", \"bbox\": [1, 150, 38, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 150, 157, 159]}, {\"cell\": \"1.95\", \"bbox\": [195, 150, 210, 159]}, {\"cell\": \"1.80\", \"bbox\": [248, 150, 262, 159]}, {\"cell\": \"2.16\", \"bbox\": [308, 150, 323, 159]}, {\"cell\": \"1.31\", \"bbox\": [376, 150, 391, 159]}, {\"cell\": \"1.17\", \"bbox\": [445, 150, 460, 159]}, {\"cell\": \"General health\", \"bbox\": [1, 162, 49, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 162, 157, 171]}, {\"cell\": \"0.40\", \"bbox\": [195, 162, 210, 171]}, {\"cell\": \"0.43\", \"bbox\": [248, 162, 262, 171]}, {\"cell\": \"-0.36\", \"bbox\": [307, 162, 324, 171]}, {\"cell\": \"-0.41\", \"bbox\": [375, 162, 392, 171]}, {\"cell\": \"-0.42\", \"bbox\": [444, 162, 461, 171]}, {\"cell\": \"Vitality\", \"bbox\": [1, 174, 23, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 174, 157, 183]}, {\"cell\": \"0.88\", \"bbox\": [195, 174, 210, 183]}, {\"cell\": \"1.19\", \"bbox\": [248, 174, 262, 183]}, {\"cell\": \"0.46\", \"bbox\": [308, 174, 323, 183]}, {\"cell\": \"0.58\", \"bbox\": [376, 174, 391, 183]}, {\"cell\": \"0.66\", \"bbox\": [445, 174, 460, 183]}, {\"cell\": \"Social functioning\", \"bbox\": [1, 186, 60, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 186, 157, 195]}, {\"cell\": \"0.97\", \"bbox\": [195, 186, 210, 195]}, {\"cell\": \"0.84\", \"bbox\": [248, 186, 262, 195]}, {\"cell\": \"0.40\", \"bbox\": [308, 186, 323, 195]}, {\"cell\": \"0.50\", \"bbox\": [376, 186, 391, 195]}, {\"cell\": \"0.46\", \"bbox\": [445, 186, 460, 195]}, {\"cell\": \"Role-emotional\", \"bbox\": [1, 198, 51, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 198, 157, 207]}, {\"cell\": \"0.60\", \"bbox\": [195, 198, 210, 207]}, {\"cell\": \"0.40\", \"bbox\": [248, 198, 262, 207]}, {\"cell\": \"0.23\", \"bbox\": [308, 198, 323, 207]}, {\"cell\": \"0.19\", \"bbox\": [376, 198, 391, 207]}, {\"cell\": \"0.18\", \"bbox\": [445, 198, 460, 207]}, {\"cell\": \"Mental health\", \"bbox\": [1, 210, 47, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 210, 157, 219]}, {\"cell\": \"0.69\", \"bbox\": [195, 210, 210, 219]}, {\"cell\": \"0.59\", \"bbox\": [248, 210, 262, 219]}, {\"cell\": \"0.01\", \"bbox\": [308, 210, 323, 219]}, {\"cell\": \"0.01\", \"bbox\": [376, 210, 391, 219]}, {\"cell\": \"0.01\", \"bbox\": [445, 210, 460, 219]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3004874_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
DimensionDefinitionaProcess evaluation measures
[EMPTY_CELL]Number of people and percentage of the target population affected by the environmental change (and the extent to which the individuals reached are representative and include those most at risk).Described using proportional reach, i.e., the number and proportion of enrolled students participating in the National School Lunch Program, including the number of low-incomeb students. Data were retrieved from the New York State Department of Education [29].
[EMPTY_CELL]A measure of effects on health behaviors, including positive, negative, and unanticipated consequences.Described as potential external influences on intervention effectiveness, i.e., contamination or threats to internal validity and aspects of cafeteria environments aligned with protocol prior to implementation, captured by school environmental assessments and lunchroom audits. Note: Student behavioral outcomes will be reported elsewhere.
[EMPTY_CELL]Number, proportion, and representativeness of settings and intervention agents participating, and the extent to which the settings selected are representative of settings that the target population will use or visit.Number and characteristics of participating schools. Also described as the number of interventionists and providers trained in Smarter Lunchrooms protocol and their reported preparedness to initiate intervention, detailed in provider training progression records, interventionist and provider training evaluations and interviews, and contact logs.
[EMPTY_CELL]Level of adherence to implementation guidelines and the extent to which elements are implemented.Described as fidelity (including fidelity scores by school service lines) to intervention protocols assessed via contact logs, lunchroom audits and interventionist and provider interviews.
[EMPTY_CELL]At the setting level, the extent to which change is maintained or new barriers are prevented or reduced.Described as fidelity scores by school service lines to intervention protocols beyond the intervention end date, assessed via lunchroom audits two weeks post-intervention.
\", \"cells\": [{\"cell\": \"Dimension\", \"bbox\": [1, 4, 37, 13]}, {\"cell\": \"Definitiona\", \"bbox\": [58, 2, 93, 13]}, {\"cell\": \"Process evaluation measures\", \"bbox\": [272, 4, 366, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 22, 27]}, {\"cell\": \"Number of people and percentage of the target population affected by the environmental change (and the extent to which the individuals reached are representative and include those most at risk).\", \"bbox\": [58, 17, 266, 54]}, {\"cell\": \"Described using proportional reach, i.e., the number and proportion of enrolled students participating in the National School Lunch Program, including the number of low-incomeb students. Data were retrieved from the New York State Department of Education [29].\", \"bbox\": [272, 17, 484, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 67, 43, 77]}, {\"cell\": \"A measure of effects on health behaviors, including positive, negative, and unanticipated consequences.\", \"bbox\": [58, 67, 253, 86]}, {\"cell\": \"Described as potential external influences on intervention effectiveness, i.e., contamination or threats to internal validity and aspects of cafeteria environments aligned with protocol prior to implementation, captured by school environmental assessments and lunchroom audits. Note: Student behavioral outcomes will be reported elsewhere.\", \"bbox\": [272, 67, 470, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 126, 33, 136]}, {\"cell\": \"Number, proportion, and representativeness of settings and intervention agents participating, and the extent to which the settings selected are representative of settings that the target population will use or visit.\", \"bbox\": [58, 126, 259, 163]}, {\"cell\": \"Number and characteristics of participating schools. Also described as the number of interventionists and providers trained in Smarter Lunchrooms protocol and their reported preparedness to initiate intervention, detailed in provider training progression records, interventionist and provider training evaluations and interviews, and contact logs.\", \"bbox\": [272, 126, 484, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 185, 54, 195]}, {\"cell\": \"Level of adherence to implementation guidelines and the extent to which elements are implemented.\", \"bbox\": [58, 185, 268, 204]}, {\"cell\": \"Described as fidelity (including fidelity scores by school service lines) to intervention protocols assessed via contact logs, lunchroom audits and interventionist and provider interviews.\", \"bbox\": [272, 185, 476, 213]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 217, 44, 227]}, {\"cell\": \"At the setting level, the extent to which change is maintained or new barriers are prevented or reduced.\", \"bbox\": [58, 217, 259, 236]}, {\"cell\": \"Described as fidelity scores by school service lines to intervention protocols beyond the intervention end date, assessed via lunchroom audits two weeks post-intervention.\", \"bbox\": [272, 217, 465, 245]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5043616_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
ComparatorAuthors (date)Number of RCTs (patients) pooledOutcome measured time pointEffect estimate (MD, SMD)95% confidence interval
Sham therapy Rubinstein et al. (2010) [22]1 (745)3 (1044)[EMPTY_CELL]SMD = −0.18 [95% CI, −0.32 to −0.04] SMD = −0.28 [95% CI, −0.41 to−0.16]
No treatmentLam et al. (2013) [17]3 (451)[EMPTY_CELL]SMD = −0.94 [95% CI, −1.41 to −0.47]
Xu et al. (2013) [19]4 (NR)>1 month[EMPTY_CELL]
Furlan et al. (2012) [20]1 (NR)Immediately[EMPTY_CELL]
Rubinstein et al. (2010) [22]1 (214)<3 months[EMPTY_CELL]
Manheimer et al. (2005) [28]6 (NR)<6 weeks[EMPTY_CELL]
Furlan et al. (2005) [29]2 (90)<3 months[EMPTY_CELL]
Plus conventional therapyLam et al. (2013) [17]3 (144)[EMPTY_CELL]SMD = −0.87 [95% CI, −1.61 to −0.14]
Rubinstein et al. (2010) [22]2 (99)4 (2824)<1 month<3 months[EMPTY_CELL]
Furlan et al. (2005) [29]3 (173)3 (173)Immediately<3 months[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Comparator\", \"bbox\": [2, 14, 48, 25]}, {\"cell\": \"Authors (date)\", \"bbox\": [87, 14, 142, 24]}, {\"cell\": \"Number of RCTs (patients) pooled\", \"bbox\": [201, 4, 259, 35]}, {\"cell\": \"Outcome measured time point\", \"bbox\": [273, 9, 345, 30]}, {\"cell\": \"Effect estimate (MD, SMD)95% confidence interval\", \"bbox\": [357, 9, 457, 30]}, {\"cell\": \"Sham therapy \", \"bbox\": [2, 43, 54, 54]}, {\"cell\": \"Rubinstein et al. (2010) [22]\", \"bbox\": [87, 42, 188, 53]}, {\"cell\": \"1 (745)3 (1044)\", \"bbox\": [215, 38, 246, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 34, 330, 60]}, {\"cell\": \"SMD = −0.18 [95% CI, −0.32 to −0.04] SMD = −0.28 [95% CI, −0.41 to−0.16] \", \"bbox\": [357, 34, 496, 60]}, {\"cell\": \"No treatment\", \"bbox\": [2, 92, 53, 103]}, {\"cell\": \"Lam et al. (2013) [17]\", \"bbox\": [87, 61, 164, 72]}, {\"cell\": \"3 (451)\", \"bbox\": [217, 62, 243, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [286, 62, 333, 72]}, {\"cell\": \"SMD = −0.94 [95% CI, −1.41 to −0.47]\", \"bbox\": [357, 59, 496, 74]}, {\"cell\": \"Xu et al. (2013) [19]\", \"bbox\": [87, 74, 158, 85]}, {\"cell\": \"4 (NR)\", \"bbox\": [217, 75, 244, 86]}, {\"cell\": \">1 month\", \"bbox\": [291, 72, 327, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [357, 72, 498, 87]}, {\"cell\": \"Furlan et al. (2012) [20]\", \"bbox\": [87, 87, 173, 98]}, {\"cell\": \"1 (NR)\", \"bbox\": [218, 88, 243, 99]}, {\"cell\": \"Immediately\", \"bbox\": [286, 88, 333, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [357, 85, 493, 100]}, {\"cell\": \"Rubinstein et al. (2010) [22]\", \"bbox\": [87, 101, 188, 111]}, {\"cell\": \"1 (214)\", \"bbox\": [218, 102, 243, 112]}, {\"cell\": \"<3 months\", \"bbox\": [289, 98, 330, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [357, 98, 496, 114]}, {\"cell\": \"Manheimer et al. (2005) [28]\", \"bbox\": [87, 114, 192, 125]}, {\"cell\": \"6 (NR)\", \"bbox\": [217, 115, 244, 125]}, {\"cell\": \"<6 weeks\", \"bbox\": [292, 112, 327, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [357, 112, 498, 127]}, {\"cell\": \"Furlan et al. (2005) [29]\", \"bbox\": [87, 127, 174, 138]}, {\"cell\": \"2 (90)\", \"bbox\": [219, 128, 242, 139]}, {\"cell\": \"<3 months\", \"bbox\": [289, 125, 330, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [357, 125, 495, 140]}, {\"cell\": \"Plus conventional therapy\", \"bbox\": [2, 156, 68, 178]}, {\"cell\": \"Lam et al. (2013) [17]\", \"bbox\": [87, 141, 164, 152]}, {\"cell\": \"3 (144)\", \"bbox\": [217, 142, 243, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [286, 142, 333, 152]}, {\"cell\": \"SMD = −0.87 [95% CI, −1.61 to −0.14] \", \"bbox\": [357, 138, 494, 154]}, {\"cell\": \"Rubinstein et al. (2010) [22]\", \"bbox\": [87, 159, 188, 169]}, {\"cell\": \"2 (99)4 (2824)\", \"bbox\": [215, 154, 246, 175]}, {\"cell\": \"<1 month<3 months\", \"bbox\": [289, 151, 330, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [357, 151, 498, 177]}, {\"cell\": \"Furlan et al. (2005) [29]\", \"bbox\": [87, 181, 174, 192]}, {\"cell\": \"3 (173)3 (173)\", \"bbox\": [218, 177, 243, 198]}, {\"cell\": \"Immediately<3 months\", \"bbox\": [286, 177, 333, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [357, 174, 496, 200]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4364128_009_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
MITE coordinates in P. salinusGene associated with the MITEGene coordinates in P. salinusGene length (bp)Predicted gene functionLength of overlap (bp)MITE involved in predicted secondary structure
148208–148428[EMPTY_CELL]148230–14832293hypothetical proteinAll 93Yes
196891–197139[EMPTY_CELL]196674–196934261hypothetical protein44, C endYes
266075–266302[EMPTY_CELL]266076–266237162hypothetical proteinAll 162Yes
659083–659327[EMPTY_CELL]658540–659259720hypothetical protein177, C endYes
707659–707892[EMPTY_CELL]707593–707739147hypothetical protein80, N endYes
1279645–1279868[EMPTY_CELL]1276933–12797222790hypothetical protein78, N endYes
1298951–1299182[EMPTY_CELL]1299004–1299717714hypothetical protein179, N endYes
2316942–2317180[EMPTY_CELL]2316744–2316953210hypothetical protein12, C endNo
2363527–2363776[EMPTY_CELL]2363321–2363686366hypothetical protein160, C endYes
2373978–2374199[EMPTY_CELL]2372753–237398912372OG-Fe(II) oxygenase superfamily12, C endNo
\", \"cells\": [{\"cell\": \"MITE coordinates in P. salinus\", \"bbox\": [1, 4, 66, 21]}, {\"cell\": \"Gene associated with the MITE\", \"bbox\": [70, 4, 140, 22]}, {\"cell\": \"Gene coordinates in P. salinus\", \"bbox\": [144, 4, 211, 21]}, {\"cell\": \"Gene length (bp)\", \"bbox\": [215, 4, 253, 22]}, {\"cell\": \"Predicted gene function\", \"bbox\": [257, 4, 307, 22]}, {\"cell\": \"Length of overlap (bp)\", \"bbox\": [352, 4, 393, 22]}, {\"cell\": \"MITE involved in predicted secondary structure\", \"bbox\": [397, 4, 484, 22]}, {\"cell\": \"148208–148428\", \"bbox\": [0, 26, 52, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [70, 26, 94, 36]}, {\"cell\": \"148230–148322\", \"bbox\": [144, 26, 196, 36]}, {\"cell\": \"93\", \"bbox\": [215, 26, 224, 36]}, {\"cell\": \"hypothetical protein\", \"bbox\": [257, 26, 324, 36]}, {\"cell\": \"All 93\", \"bbox\": [352, 26, 372, 36]}, {\"cell\": \"Yes\", \"bbox\": [397, 26, 409, 36]}, {\"cell\": \"196891–197139\", \"bbox\": [1, 40, 52, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [70, 40, 94, 50]}, {\"cell\": \"196674–196934\", \"bbox\": [144, 40, 196, 50]}, {\"cell\": \"261\", \"bbox\": [215, 40, 228, 50]}, {\"cell\": \"hypothetical protein\", \"bbox\": [257, 40, 324, 50]}, {\"cell\": \"44, C end\", \"bbox\": [352, 40, 385, 50]}, {\"cell\": \"Yes\", \"bbox\": [397, 40, 409, 50]}, {\"cell\": \"266075–266302\", \"bbox\": [1, 54, 52, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [70, 54, 94, 64]}, {\"cell\": \"266076–266237\", \"bbox\": [144, 54, 196, 64]}, {\"cell\": \"162\", \"bbox\": [215, 54, 228, 64]}, {\"cell\": \"hypothetical protein\", \"bbox\": [257, 54, 324, 64]}, {\"cell\": \"All 162\", \"bbox\": [352, 54, 376, 64]}, {\"cell\": \"Yes\", \"bbox\": [397, 54, 409, 64]}, {\"cell\": \"659083–659327\", \"bbox\": [1, 68, 52, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [70, 68, 94, 78]}, {\"cell\": \"658540–659259\", \"bbox\": [144, 68, 196, 78]}, {\"cell\": \"720\", \"bbox\": [215, 68, 228, 78]}, {\"cell\": \"hypothetical protein\", \"bbox\": [257, 68, 324, 78]}, {\"cell\": \"177, C end\", \"bbox\": [352, 68, 388, 78]}, {\"cell\": \"Yes\", \"bbox\": [397, 68, 409, 78]}, {\"cell\": \"707659–707892\", \"bbox\": [1, 82, 52, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [70, 82, 94, 92]}, {\"cell\": \"707593–707739\", \"bbox\": [144, 82, 196, 92]}, {\"cell\": \"147\", \"bbox\": [215, 82, 228, 92]}, {\"cell\": \"hypothetical protein\", \"bbox\": [257, 82, 324, 92]}, {\"cell\": \"80, N end\", \"bbox\": [352, 82, 385, 92]}, {\"cell\": \"Yes\", \"bbox\": [397, 82, 409, 92]}, {\"cell\": \"1279645–1279868\", \"bbox\": [1, 96, 60, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [70, 96, 98, 106]}, {\"cell\": \"1276933–1279722\", \"bbox\": [144, 96, 204, 106]}, {\"cell\": \"2790\", \"bbox\": [215, 96, 232, 106]}, {\"cell\": \"hypothetical protein\", \"bbox\": [257, 96, 324, 106]}, {\"cell\": \"78, N end\", \"bbox\": [352, 96, 385, 106]}, {\"cell\": \"Yes\", \"bbox\": [397, 96, 409, 106]}, {\"cell\": \"1298951–1299182\", \"bbox\": [1, 110, 60, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [70, 110, 98, 120]}, {\"cell\": \"1299004–1299717\", \"bbox\": [144, 110, 204, 120]}, {\"cell\": \"714\", \"bbox\": [215, 110, 228, 120]}, {\"cell\": \"hypothetical protein\", \"bbox\": [257, 110, 324, 120]}, {\"cell\": \"179, N end\", \"bbox\": [352, 110, 389, 120]}, {\"cell\": \"Yes\", \"bbox\": [397, 110, 409, 120]}, {\"cell\": \"2316942–2317180\", \"bbox\": [1, 124, 60, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [70, 124, 98, 134]}, {\"cell\": \"2316744–2316953\", \"bbox\": [144, 124, 204, 134]}, {\"cell\": \"210\", \"bbox\": [215, 124, 228, 134]}, {\"cell\": \"hypothetical protein\", \"bbox\": [257, 124, 324, 134]}, {\"cell\": \"12, C end\", \"bbox\": [352, 124, 385, 134]}, {\"cell\": \"No\", \"bbox\": [397, 124, 408, 134]}, {\"cell\": \"2363527–2363776\", \"bbox\": [1, 138, 60, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [70, 138, 98, 148]}, {\"cell\": \"2363321–2363686\", \"bbox\": [144, 138, 204, 148]}, {\"cell\": \"366\", \"bbox\": [215, 138, 228, 148]}, {\"cell\": \"hypothetical protein\", \"bbox\": [257, 138, 324, 148]}, {\"cell\": \"160, C end\", \"bbox\": [352, 138, 388, 148]}, {\"cell\": \"Yes\", \"bbox\": [397, 138, 409, 148]}, {\"cell\": \"2373978–2374199\", \"bbox\": [1, 152, 60, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [70, 152, 98, 162]}, {\"cell\": \"2372753–2373989\", \"bbox\": [144, 152, 204, 162]}, {\"cell\": \"1237\", \"bbox\": [215, 152, 232, 162]}, {\"cell\": \"2OG-Fe(II) oxygenase superfamily\", \"bbox\": [257, 152, 326, 171]}, {\"cell\": \"12, C end\", \"bbox\": [352, 152, 385, 162]}, {\"cell\": \"No\", \"bbox\": [397, 152, 408, 162]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4495683_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]N (%)Mean (SD)MinMax
Age at assessment (years)1285.27 (1.81)[EMPTY_CELL]10
Female gender58 (45.3%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Mutation[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Familial22 (17.2%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
De novo53 (41.4%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Unknown53 (41.4%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
ADOS modules[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Module 112 (9.4%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Module 245 (35.2%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Module 371 (55.5%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
ADOS calibrated severity score[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Total1282.34 (1.83)[EMPTY_CELL]8
Social affect1282.70 (2.12)[EMPTY_CELL]9
Restricted/repetitive behaviors1283.34 (2.50)[EMPTY_CELL]10
Type of intelligence test[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
WPPSI98 (76.5%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
WISC-III27 (21.1%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
WNV-III1 (.8%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
BSID-III2 (1.6%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
IQ scores[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Full-scale IQ12388.20 (13.93)[EMPTY_CELL]119
Verbal IQ12491.64 (13.75)[EMPTY_CELL]124
Performance IQ12588.25 (14.21)[EMPTY_CELL]130
SRS[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Total T-score10354.70 (12.59)[EMPTY_CELL]103
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"N (%)\", \"bbox\": [106, 4, 127, 14]}, {\"cell\": \"Mean (SD)\", \"bbox\": [149, 4, 189, 14]}, {\"cell\": \"Min\", \"bbox\": [202, 4, 218, 14]}, {\"cell\": \"Max\", \"bbox\": [223, 4, 240, 14]}, {\"cell\": \"Age at assessment (years)\", \"bbox\": [1, 23, 90, 33]}, {\"cell\": \"128\", \"bbox\": [106, 23, 120, 33]}, {\"cell\": \"5.27 (1.81)\", \"bbox\": [154, 23, 193, 33]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [206, 23, 213, 33]}, {\"cell\": \"10\", \"bbox\": [227, 23, 237, 33]}, {\"cell\": \"Female gender\", \"bbox\": [1, 36, 53, 46]}, {\"cell\": \"58 (45.3%)\", \"bbox\": [106, 36, 145, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Mutation\", \"bbox\": [1, 48, 34, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Familial\", \"bbox\": [6, 61, 36, 70]}, {\"cell\": \"22 (17.2%)\", \"bbox\": [106, 61, 145, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" De novo\", \"bbox\": [6, 73, 36, 83]}, {\"cell\": \"53 (41.4%)\", \"bbox\": [106, 73, 145, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Unknown\", \"bbox\": [6, 86, 41, 95]}, {\"cell\": \"53 (41.4%)\", \"bbox\": [106, 86, 145, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"ADOS modules\", \"bbox\": [1, 98, 57, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Module 1\", \"bbox\": [6, 111, 40, 120]}, {\"cell\": \"12 (9.4%)\", \"bbox\": [106, 111, 141, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Module 2\", \"bbox\": [6, 123, 40, 133]}, {\"cell\": \"45 (35.2%)\", \"bbox\": [106, 123, 145, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Module 3\", \"bbox\": [6, 136, 40, 145]}, {\"cell\": \"71 (55.5%)\", \"bbox\": [106, 136, 145, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"ADOS calibrated severity score\", \"bbox\": [1, 148, 90, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Total\", \"bbox\": [6, 170, 25, 180]}, {\"cell\": \"128\", \"bbox\": [106, 170, 120, 180]}, {\"cell\": \"2.34 (1.83)\", \"bbox\": [154, 170, 193, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [206, 170, 213, 180]}, {\"cell\": \"8\", \"bbox\": [231, 170, 237, 180]}, {\"cell\": \" Social affect\", \"bbox\": [6, 183, 50, 193]}, {\"cell\": \"128\", \"bbox\": [106, 183, 120, 193]}, {\"cell\": \"2.70 (2.12)\", \"bbox\": [154, 183, 193, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [206, 183, 213, 193]}, {\"cell\": \"9\", \"bbox\": [231, 183, 237, 193]}, {\"cell\": \" Restricted/repetitive behaviors\", \"bbox\": [6, 195, 76, 215]}, {\"cell\": \"128\", \"bbox\": [106, 195, 120, 205]}, {\"cell\": \"3.34 (2.50)\", \"bbox\": [154, 195, 193, 205]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [206, 195, 213, 205]}, {\"cell\": \"10\", \"bbox\": [227, 195, 237, 205]}, {\"cell\": \"Type of intelligence test\", \"bbox\": [1, 218, 84, 228]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" WPPSI\", \"bbox\": [6, 230, 33, 240]}, {\"cell\": \"98 (76.5%)\", \"bbox\": [106, 230, 145, 240]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" WISC-III\", \"bbox\": [6, 243, 40, 253]}, {\"cell\": \"27 (21.1%)\", \"bbox\": [106, 243, 145, 253]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" WNV-III\", \"bbox\": [6, 255, 39, 265]}, {\"cell\": \"1 (.8%)\", \"bbox\": [106, 255, 132, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" BSID-III\", \"bbox\": [6, 268, 38, 278]}, {\"cell\": \"2 (1.6%)\", \"bbox\": [106, 268, 137, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"IQ scores\", \"bbox\": [1, 280, 35, 290]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Full-scale IQ\", \"bbox\": [6, 293, 52, 303]}, {\"cell\": \"123\", \"bbox\": [106, 293, 120, 303]}, {\"cell\": \"88.20 (13.93)\", \"bbox\": [150, 293, 198, 303]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [202, 293, 213, 303]}, {\"cell\": \"119\", \"bbox\": [223, 293, 237, 303]}, {\"cell\": \" Verbal IQ\", \"bbox\": [6, 305, 41, 315]}, {\"cell\": \"124\", \"bbox\": [106, 305, 120, 315]}, {\"cell\": \"91.64 (13.75)\", \"bbox\": [150, 305, 198, 315]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [202, 305, 213, 315]}, {\"cell\": \"124\", \"bbox\": [223, 305, 237, 315]}, {\"cell\": \" Performance IQ\", \"bbox\": [6, 318, 62, 328]}, {\"cell\": \"125\", \"bbox\": [106, 318, 120, 328]}, {\"cell\": \"88.25 (14.21)\", \"bbox\": [150, 318, 198, 328]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [202, 318, 213, 328]}, {\"cell\": \"130\", \"bbox\": [223, 318, 237, 328]}, {\"cell\": \"SRS\", \"bbox\": [1, 330, 18, 340]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Total T-score\", \"bbox\": [6, 343, 53, 353]}, {\"cell\": \"103\", \"bbox\": [106, 343, 120, 353]}, {\"cell\": \"54.70 (12.59)\", \"bbox\": [150, 343, 198, 353]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [202, 343, 213, 353]}, {\"cell\": \"103\", \"bbox\": [223, 343, 237, 353]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5995999_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariableHelp SeekingSelf RecognitionDepression
Point EstimateSEp ValuePoint EstimateSEp ValuePoint EstimateSEp Value
Gender−0.2990.452[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Someone else telling you that you had a mental health problem0.7650.539[EMPTY_CELL]0.671.2560.595[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Functional Status[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]−1.810.530.00058
Self-Rated Mental Health−1.0220.404[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]−0.360.520.49592
Total PHQ-9[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]−0.190.0880.029[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Total Somatic Symptoms−0.0930.037[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]−0.190.050.00011
\", \"cells\": [{\"cell\": \"Variable\", \"bbox\": [7, 14, 50, 26]}, {\"cell\": \"Help Seeking\", \"bbox\": [226, 6, 290, 18]}, {\"cell\": \"Self Recognition\", \"bbox\": [381, 6, 460, 18]}, {\"cell\": \"Depression\", \"bbox\": [553, 6, 607, 18]}, {\"cell\": \"Point Estimate\", \"bbox\": [181, 22, 253, 33]}, {\"cell\": \"SE\", \"bbox\": [267, 22, 282, 33]}, {\"cell\": \"p Value\", \"bbox\": [297, 22, 335, 33]}, {\"cell\": \"Point Estimate\", \"bbox\": [344, 22, 415, 33]}, {\"cell\": \"SE\", \"bbox\": [429, 22, 445, 33]}, {\"cell\": \"p Value\", \"bbox\": [459, 22, 497, 33]}, {\"cell\": \"Point Estimate\", \"bbox\": [506, 22, 577, 33]}, {\"cell\": \"SE\", \"bbox\": [589, 22, 604, 33]}, {\"cell\": \"p Value\", \"bbox\": [616, 22, 654, 33]}, {\"cell\": \"Gender\", \"bbox\": [7, 37, 41, 49]}, {\"cell\": \"−0.299\", \"bbox\": [200, 33, 233, 50]}, {\"cell\": \"0.452\", \"bbox\": [261, 37, 288, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [302, 37, 329, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Someone else telling you that you had a mental health problem\", \"bbox\": [7, 52, 172, 79]}, {\"cell\": \"0.765\", \"bbox\": [203, 60, 230, 72]}, {\"cell\": \"0.539\", \"bbox\": [261, 60, 288, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [302, 60, 329, 72]}, {\"cell\": \"0.67\", \"bbox\": [369, 60, 390, 72]}, {\"cell\": \"1.256\", \"bbox\": [424, 60, 450, 72]}, {\"cell\": \"0.595\", \"bbox\": [465, 60, 491, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Functional Status\", \"bbox\": [7, 83, 85, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−1.81\", \"bbox\": [528, 79, 555, 96]}, {\"cell\": \"0.53\", \"bbox\": [586, 83, 607, 95]}, {\"cell\": \"0.00058\", \"bbox\": [616, 83, 654, 95]}, {\"cell\": \"Self-Rated Mental Health\", \"bbox\": [7, 98, 122, 110]}, {\"cell\": \"−1.022\", \"bbox\": [200, 95, 233, 111]}, {\"cell\": \"0.404\", \"bbox\": [261, 98, 288, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [302, 98, 329, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−0.36\", \"bbox\": [528, 95, 555, 111]}, {\"cell\": \"0.52\", \"bbox\": [586, 98, 607, 110]}, {\"cell\": \"0.49592\", \"bbox\": [616, 98, 654, 110]}, {\"cell\": \"Total PHQ-9\", \"bbox\": [7, 114, 66, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−0.19\", \"bbox\": [365, 110, 393, 127]}, {\"cell\": \"0.088\", \"bbox\": [424, 114, 450, 126]}, {\"cell\": \"0.029\", \"bbox\": [465, 114, 491, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Total Somatic Symptoms\", \"bbox\": [7, 129, 120, 141]}, {\"cell\": \"−0.093\", \"bbox\": [200, 126, 233, 142]}, {\"cell\": \"0.037\", \"bbox\": [261, 129, 288, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [302, 129, 329, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−0.19\", \"bbox\": [528, 126, 555, 142]}, {\"cell\": \"0.05\", \"bbox\": [586, 129, 607, 141]}, {\"cell\": \"0.00011\", \"bbox\": [616, 129, 654, 141]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4586621_013_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Outcome Age SD BMI Gender
Variable Coefficientp valueCoefficientp valueCoefficientp valueCoefficientp value
[EMPTY_CELL]−0.2390.0140.0670.500.1020.300.1500.12
[EMPTY_CELL]0.0680.470.2530.0110.1200.220.0840.38
[EMPTY_CELL]0.1930.05−0.1760.080.1320.190.0440.65
[EMPTY_CELL]0.1500.130.0760.450.1260.210.0790.42
[EMPTY_CELL]0.454<0.0010.0550.550.0210.980.0030.97
[EMPTY_CELL]−0.451<0.0010.1660.0650.1160.200.0850.33
[EMPTY_CELL]−0.354<0.001−0.2050.0260.2140.020.1090.22
[EMPTY_CELL]−0.434<0.0010.0280.750.1730.050.1050.24
[EMPTY_CELL]0.0270.790.0510.610.1910.006−0.1050.28
\", \"cells\": [{\"cell\": \"Outcome \", \"bbox\": [2, 4, 38, 15]}, {\"cell\": \" Age \", \"bbox\": [113, 4, 129, 15]}, {\"cell\": \" SD \", \"bbox\": [225, 4, 238, 15]}, {\"cell\": \" BMI \", \"bbox\": [333, 4, 352, 15]}, {\"cell\": \" Gender \", \"bbox\": [439, 4, 468, 15]}, {\"cell\": \"Variable \", \"bbox\": [2, 16, 34, 27]}, {\"cell\": \"Coefficient\", \"bbox\": [75, 16, 116, 27]}, {\"cell\": \"p value\", \"bbox\": [137, 13, 165, 29]}, {\"cell\": \"Coefficient\", \"bbox\": [186, 16, 227, 27]}, {\"cell\": \"p value\", \"bbox\": [248, 13, 276, 29]}, {\"cell\": \"Coefficient\", \"bbox\": [297, 16, 338, 27]}, {\"cell\": \"p value\", \"bbox\": [359, 13, 388, 29]}, {\"cell\": \"Coefficient\", \"bbox\": [408, 16, 450, 27]}, {\"cell\": \"p value\", \"bbox\": [470, 13, 499, 29]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 29, 25, 40]}, {\"cell\": \"−0.239\", \"bbox\": [82, 26, 109, 41]}, {\"cell\": \"0.014\", \"bbox\": [141, 29, 162, 40]}, {\"cell\": \"0.067\", \"bbox\": [196, 29, 218, 40]}, {\"cell\": \"0.50\", \"bbox\": [254, 29, 271, 40]}, {\"cell\": \"0.102\", \"bbox\": [308, 29, 328, 40]}, {\"cell\": \"0.30\", \"bbox\": [365, 29, 382, 40]}, {\"cell\": \"0.150\", \"bbox\": [419, 29, 439, 40]}, {\"cell\": \"0.12\", \"bbox\": [477, 29, 492, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 42, 51, 52]}, {\"cell\": \"0.068\", \"bbox\": [85, 42, 107, 52]}, {\"cell\": \"0.47\", \"bbox\": [143, 42, 160, 52]}, {\"cell\": \"0.253\", \"bbox\": [196, 42, 218, 52]}, {\"cell\": \"0.011\", \"bbox\": [252, 42, 272, 52]}, {\"cell\": \"0.120\", \"bbox\": [308, 42, 328, 52]}, {\"cell\": \"0.22\", \"bbox\": [365, 42, 382, 52]}, {\"cell\": \"0.084\", \"bbox\": [418, 42, 440, 52]}, {\"cell\": \"0.38\", \"bbox\": [476, 42, 493, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 54, 57, 65]}, {\"cell\": \"0.193\", \"bbox\": [85, 54, 106, 65]}, {\"cell\": \"0.05\", \"bbox\": [142, 54, 160, 65]}, {\"cell\": \"−0.176\", \"bbox\": [194, 51, 219, 66]}, {\"cell\": \"0.08\", \"bbox\": [254, 54, 271, 65]}, {\"cell\": \"0.132\", \"bbox\": [308, 54, 328, 65]}, {\"cell\": \"0.19\", \"bbox\": [366, 54, 381, 65]}, {\"cell\": \"0.044\", \"bbox\": [418, 54, 440, 65]}, {\"cell\": \"0.65\", \"bbox\": [476, 54, 493, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 67, 41, 77]}, {\"cell\": \"0.150\", \"bbox\": [86, 67, 106, 77]}, {\"cell\": \"0.13\", \"bbox\": [143, 67, 159, 77]}, {\"cell\": \"0.076\", \"bbox\": [196, 67, 217, 77]}, {\"cell\": \"0.45\", \"bbox\": [254, 67, 271, 77]}, {\"cell\": \"0.126\", \"bbox\": [308, 67, 328, 77]}, {\"cell\": \"0.21\", \"bbox\": [366, 67, 381, 77]}, {\"cell\": \"0.079\", \"bbox\": [418, 67, 440, 77]}, {\"cell\": \"0.42\", \"bbox\": [476, 67, 493, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 79, 56, 90]}, {\"cell\": \"0.454\", \"bbox\": [84, 79, 107, 90]}, {\"cell\": \"<0.001\", \"bbox\": [138, 76, 165, 91]}, {\"cell\": \"0.055\", \"bbox\": [196, 79, 217, 90]}, {\"cell\": \"0.55\", \"bbox\": [254, 79, 271, 90]}, {\"cell\": \"0.021\", \"bbox\": [308, 79, 328, 90]}, {\"cell\": \"0.98\", \"bbox\": [365, 79, 382, 90]}, {\"cell\": \"0.003\", \"bbox\": [418, 79, 440, 90]}, {\"cell\": \"0.97\", \"bbox\": [476, 79, 493, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 91, 52, 102]}, {\"cell\": \"−0.451\", \"bbox\": [82, 88, 109, 104]}, {\"cell\": \"<0.001\", \"bbox\": [138, 88, 165, 104]}, {\"cell\": \"0.166\", \"bbox\": [197, 91, 217, 102]}, {\"cell\": \"0.065\", \"bbox\": [252, 91, 273, 102]}, {\"cell\": \"0.116\", \"bbox\": [308, 91, 327, 102]}, {\"cell\": \"0.20\", \"bbox\": [365, 91, 382, 102]}, {\"cell\": \"0.085\", \"bbox\": [418, 91, 440, 102]}, {\"cell\": \"0.33\", \"bbox\": [476, 91, 493, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 104, 58, 115]}, {\"cell\": \"−0.354\", \"bbox\": [82, 101, 109, 116]}, {\"cell\": \"<0.001\", \"bbox\": [138, 101, 165, 116]}, {\"cell\": \"−0.205\", \"bbox\": [193, 101, 221, 116]}, {\"cell\": \"0.026\", \"bbox\": [251, 104, 274, 115]}, {\"cell\": \"0.214\", \"bbox\": [307, 104, 328, 115]}, {\"cell\": \"0.02\", \"bbox\": [365, 104, 382, 115]}, {\"cell\": \"0.109\", \"bbox\": [419, 104, 439, 115]}, {\"cell\": \"0.22\", \"bbox\": [476, 104, 493, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 116, 42, 127]}, {\"cell\": \"−0.434\", \"bbox\": [82, 113, 110, 129]}, {\"cell\": \"<0.001\", \"bbox\": [138, 113, 165, 129]}, {\"cell\": \"0.028\", \"bbox\": [196, 116, 217, 127]}, {\"cell\": \"0.75\", \"bbox\": [254, 116, 271, 127]}, {\"cell\": \"0.173\", \"bbox\": [308, 116, 328, 127]}, {\"cell\": \"0.05\", \"bbox\": [365, 116, 382, 127]}, {\"cell\": \"0.105\", \"bbox\": [419, 116, 439, 127]}, {\"cell\": \"0.24\", \"bbox\": [476, 116, 493, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 129, 43, 139]}, {\"cell\": \"0.027\", \"bbox\": [85, 129, 106, 139]}, {\"cell\": \"0.79\", \"bbox\": [143, 129, 160, 139]}, {\"cell\": \"0.051\", \"bbox\": [197, 129, 217, 139]}, {\"cell\": \"0.61\", \"bbox\": [254, 129, 270, 139]}, {\"cell\": \"0.191\", \"bbox\": [309, 129, 327, 139]}, {\"cell\": \"0.006\", \"bbox\": [362, 129, 384, 139]}, {\"cell\": \"−0.105\", \"bbox\": [416, 126, 442, 141]}, {\"cell\": \"0.28\", \"bbox\": [476, 129, 493, 139]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4876211_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariableNLNLPNLEENLMANOVAContrast 1Contrast 2Contrast 3
PPPP
Time in bed (min)513.8 ± 18.6[EMPTY_CELL]507.9 ± 29.7508.8 ± 26.50.9340.5980.8930.936
Total sleep time (min)369.0 ± 35.0[EMPTY_CELL]385.8 ± 38.9401.2 ± 35.80.1370.3020.0430.342
Sleep efficiency index0.72 ± 0.08[EMPTY_CELL]0.76 ± 0.080.79 ± 0.110.1860.2730.0770.396
REM (%)16.0 ± 4.2[EMPTY_CELL]18.4 ± 3.720.9 ± 3.00.0500.2850.0110.258
N1 (%)20.3 ± 8.6[EMPTY_CELL]20.4 ± 3.219.2 ± 4.00.9280.9730.5090.681
N2 (%)46.8 ± 7.3[EMPTY_CELL]46.3 ± 3.042.6 ± 3.50.2620.8500.0730.161
N3 (%)15.0 ± 3.9[EMPTY_CELL]14.9 ± 3.117.3 ± 3.60.4250.9910.6540.175
Sleep onset latency (min)71.4 ± 25.6[EMPTY_CELL]46.6 ± 21.633.7 ± 10.50.0010.0100.0040.163
REM latency (min)154.4 ± 46.9[EMPTY_CELL]158.0 ± 37.4149.5 ± 37.80.9590.8440.6340.644
No. of awakenings15.1 ± 3.3[EMPTY_CELL]10.5 ± 3.26.5 ± 1.80.0000.0010.0000.004
Sleep arousals index9.8 ± 3.0[EMPTY_CELL]5.5 ± 2.14.5 ± 1.40.0000.0000.0010.392
\", \"cells\": [{\"cell\": \"Variable\", \"bbox\": [1, 4, 31, 13]}, {\"cell\": \"NL\", \"bbox\": [98, 4, 109, 13]}, {\"cell\": \"NLP\", \"bbox\": [151, 4, 166, 13]}, {\"cell\": \"NLEE\", \"bbox\": [204, 4, 223, 13]}, {\"cell\": \"NLM\", \"bbox\": [257, 4, 274, 13]}, {\"cell\": \"ANOVA\", \"bbox\": [310, 4, 337, 13]}, {\"cell\": \"Contrast 1\", \"bbox\": [349, 4, 386, 13]}, {\"cell\": \"Contrast 2\", \"bbox\": [398, 4, 435, 13]}, {\"cell\": \"Contrast 3\", \"bbox\": [447, 4, 484, 13]}, {\"cell\": \"P\", \"bbox\": [310, 17, 316, 25]}, {\"cell\": \"P\", \"bbox\": [349, 17, 356, 25]}, {\"cell\": \"P\", \"bbox\": [398, 17, 405, 25]}, {\"cell\": \"P\", \"bbox\": [447, 17, 454, 25]}, {\"cell\": \"Time in bed (min)\", \"bbox\": [1, 30, 64, 40]}, {\"cell\": \"513.8 ± 18.6\", \"bbox\": [98, 31, 139, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [151, 31, 192, 38]}, {\"cell\": \"507.9 ± 29.7\", \"bbox\": [204, 31, 245, 38]}, {\"cell\": \"508.8 ± 26.5\", \"bbox\": [257, 31, 296, 38]}, {\"cell\": \"0.934\", \"bbox\": [310, 31, 328, 38]}, {\"cell\": \"0.598\", \"bbox\": [349, 31, 368, 38]}, {\"cell\": \"0.893\", \"bbox\": [398, 31, 417, 38]}, {\"cell\": \"0.936\", \"bbox\": [447, 31, 466, 38]}, {\"cell\": \"Total sleep time (min)\", \"bbox\": [1, 44, 79, 54]}, {\"cell\": \"369.0 ± 35.0\", \"bbox\": [98, 45, 139, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [151, 45, 192, 52]}, {\"cell\": \"385.8 ± 38.9\", \"bbox\": [204, 45, 245, 52]}, {\"cell\": \"401.2 ± 35.8\", \"bbox\": [257, 45, 298, 52]}, {\"cell\": \"0.137\", \"bbox\": [310, 45, 328, 52]}, {\"cell\": \"0.302\", \"bbox\": [349, 45, 368, 52]}, {\"cell\": \"0.043\", \"bbox\": [398, 45, 417, 52]}, {\"cell\": \"0.342\", \"bbox\": [447, 45, 466, 52]}, {\"cell\": \"Sleep efficiency index\", \"bbox\": [1, 58, 78, 68]}, {\"cell\": \"0.72 ± 0.08\", \"bbox\": [98, 59, 135, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [151, 59, 188, 66]}, {\"cell\": \"0.76 ± 0.08\", \"bbox\": [204, 59, 241, 66]}, {\"cell\": \"0.79 ± 0.11\", \"bbox\": [257, 59, 294, 66]}, {\"cell\": \"0.186\", \"bbox\": [310, 59, 328, 66]}, {\"cell\": \"0.273\", \"bbox\": [349, 59, 368, 66]}, {\"cell\": \"0.077\", \"bbox\": [398, 59, 417, 66]}, {\"cell\": \"0.396\", \"bbox\": [447, 59, 466, 66]}, {\"cell\": \"REM (%)\", \"bbox\": [1, 72, 31, 82]}, {\"cell\": \"16.0 ± 4.2\", \"bbox\": [98, 73, 131, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [151, 73, 181, 80]}, {\"cell\": \"18.4 ± 3.7\", \"bbox\": [204, 73, 237, 80]}, {\"cell\": \"20.9 ± 3.0\", \"bbox\": [257, 73, 290, 80]}, {\"cell\": \"0.050\", \"bbox\": [310, 73, 328, 80]}, {\"cell\": \"0.285\", \"bbox\": [349, 73, 368, 80]}, {\"cell\": \"0.011\", \"bbox\": [398, 73, 417, 80]}, {\"cell\": \"0.258\", \"bbox\": [447, 73, 466, 80]}, {\"cell\": \"N1 (%)\", \"bbox\": [1, 86, 26, 96]}, {\"cell\": \"20.3 ± 8.6\", \"bbox\": [98, 87, 131, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [151, 87, 184, 94]}, {\"cell\": \"20.4 ± 3.2\", \"bbox\": [204, 87, 237, 94]}, {\"cell\": \"19.2 ± 4.0\", \"bbox\": [257, 87, 290, 94]}, {\"cell\": \"0.928\", \"bbox\": [310, 87, 328, 94]}, {\"cell\": \"0.973\", \"bbox\": [349, 87, 368, 94]}, {\"cell\": \"0.509\", \"bbox\": [398, 87, 417, 94]}, {\"cell\": \"0.681\", \"bbox\": [447, 87, 466, 94]}, {\"cell\": \"N2 (%)\", \"bbox\": [1, 100, 26, 110]}, {\"cell\": \"46.8 ± 7.3\", \"bbox\": [98, 101, 131, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [151, 101, 184, 108]}, {\"cell\": \"46.3 ± 3.0\", \"bbox\": [204, 101, 237, 108]}, {\"cell\": \"42.6 ± 3.5\", \"bbox\": [257, 101, 290, 108]}, {\"cell\": \"0.262\", \"bbox\": [310, 101, 328, 108]}, {\"cell\": \"0.850\", \"bbox\": [349, 101, 368, 108]}, {\"cell\": \"0.073\", \"bbox\": [398, 101, 417, 108]}, {\"cell\": \"0.161\", \"bbox\": [447, 101, 466, 108]}, {\"cell\": \"N3 (%)\", \"bbox\": [1, 114, 26, 124]}, {\"cell\": \"15.0 ± 3.9\", \"bbox\": [98, 115, 131, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [151, 115, 184, 122]}, {\"cell\": \"14.9 ± 3.1\", \"bbox\": [204, 115, 237, 122]}, {\"cell\": \"17.3 ± 3.6\", \"bbox\": [257, 115, 290, 122]}, {\"cell\": \"0.425\", \"bbox\": [310, 115, 328, 122]}, {\"cell\": \"0.991\", \"bbox\": [349, 115, 368, 122]}, {\"cell\": \"0.654\", \"bbox\": [398, 115, 417, 122]}, {\"cell\": \"0.175\", \"bbox\": [447, 115, 466, 122]}, {\"cell\": \"Sleep onset latency (min)\", \"bbox\": [1, 128, 85, 138]}, {\"cell\": \"71.4 ± 25.6\", \"bbox\": [98, 129, 135, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [151, 129, 188, 136]}, {\"cell\": \"46.6 ± 21.6\", \"bbox\": [204, 129, 241, 136]}, {\"cell\": \"33.7 ± 10.5\", \"bbox\": [257, 129, 294, 136]}, {\"cell\": \"0.001\", \"bbox\": [310, 129, 328, 136]}, {\"cell\": \"0.010\", \"bbox\": [349, 129, 368, 136]}, {\"cell\": \"0.004\", \"bbox\": [398, 129, 417, 136]}, {\"cell\": \"0.163\", \"bbox\": [447, 129, 466, 136]}, {\"cell\": \"REM latency (min)\", \"bbox\": [1, 142, 65, 152]}, {\"cell\": \"154.4 ± 46.9\", \"bbox\": [98, 143, 139, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [151, 143, 192, 150]}, {\"cell\": \"158.0 ± 37.4\", \"bbox\": [204, 143, 245, 150]}, {\"cell\": \"149.5 ± 37.8\", \"bbox\": [257, 143, 296, 150]}, {\"cell\": \"0.959\", \"bbox\": [310, 143, 328, 150]}, {\"cell\": \"0.844\", \"bbox\": [349, 143, 368, 150]}, {\"cell\": \"0.634\", \"bbox\": [398, 143, 417, 150]}, {\"cell\": \"0.644\", \"bbox\": [447, 143, 466, 150]}, {\"cell\": \"No. of awakenings\", \"bbox\": [1, 156, 67, 166]}, {\"cell\": \"15.1 ± 3.3\", \"bbox\": [98, 157, 131, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [151, 157, 184, 164]}, {\"cell\": \"10.5 ± 3.2\", \"bbox\": [204, 157, 237, 164]}, {\"cell\": \"6.5 ± 1.8\", \"bbox\": [257, 157, 286, 164]}, {\"cell\": \"0.000\", \"bbox\": [310, 157, 328, 164]}, {\"cell\": \"0.001\", \"bbox\": [349, 157, 368, 164]}, {\"cell\": \"0.000\", \"bbox\": [398, 157, 417, 164]}, {\"cell\": \"0.004\", \"bbox\": [447, 157, 466, 164]}, {\"cell\": \"Sleep arousals index\", \"bbox\": [1, 170, 74, 180]}, {\"cell\": \"9.8 ± 3.0\", \"bbox\": [98, 171, 127, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [151, 171, 180, 178]}, {\"cell\": \"5.5 ± 2.1\", \"bbox\": [204, 171, 233, 178]}, {\"cell\": \"4.5 ± 1.4\", \"bbox\": [257, 171, 286, 178]}, {\"cell\": \"0.000\", \"bbox\": [310, 171, 328, 178]}, {\"cell\": \"0.000\", \"bbox\": [349, 171, 368, 178]}, {\"cell\": \"0.001\", \"bbox\": [398, 171, 417, 178]}, {\"cell\": \"0.392\", \"bbox\": [447, 171, 466, 178]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4365553_005_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Ref.Animal modelDietTermHealth outcomes of LCMUFA diet(p < 0.05 vs. control)
[42][EMPTY_CELL]Hight-fat diet(42% energy from fat)supplemented 5% LCMUFA or not (control)6 weeksPlasma TC, LDL-C reduction;Insulin resistance improvement;Anti-inflammation (Decreased plasma resistin levels and inflammatory gene expressions);Increase in n-3 PUFA and decrease in n-6 PUFA in liver
[43][EMPTY_CELL]Chow dietsupplemented 4% LCMUFA or soybean oil (control)8 weeksPlasma TC, FFA, insulin and leptin reduction;Adipocyte size reduction;Upregulation of Pparg family genes
[46][EMPTY_CELL]Western diet(42% energy from fat)supplemented 5% LCMUFA or not (control)12 weeksPlasma TC, LDL-C reduction;Atherosclerotic lesion area reduction;Anti-inflammation (Decreased macrophage and inflammatory gene expression in aorta);Upregulation of PPAR signaling pathway in liver
[46][EMPTY_CELL]Western diet(42% energy from fat)supplemented 2% LCMUFA, olive oil, or not (control)12 weeksNo change in plasma lipid levels;Atherosclerotic lesion area reduction;Anti-inflammation (Decreased plasma inflammatory cytokine levels and in aorta);Upregulation of PPAR signaling pathway in liver;Increase in n-3 PUFA and decrease in arachidonic acid (C20:4 n-6) in plasma and liver
[48][EMPTY_CELL]High-fat diet(42% energy from fat)supplemented 6.5% LCMUFA, n-3 PUFA, or not (control)3 weeksNo change in plasma lipid levels;Stimulation of peroxisomal β-oxidation in liver;Increase in n-3 PUFA and decrease in arachidonic acid (C20:4 n-6) in plasma and liver
\", \"cells\": [{\"cell\": \"Ref.\", \"bbox\": [1, 4, 14, 13]}, {\"cell\": \"Animal model\", \"bbox\": [31, 4, 78, 13]}, {\"cell\": \"Diet\", \"bbox\": [162, 4, 177, 13]}, {\"cell\": \"Term\", \"bbox\": [275, 4, 293, 13]}, {\"cell\": \"Health outcomes of LCMUFA diet(p < 0.05 vs. control)\", \"bbox\": [323, 4, 433, 22]}, {\"cell\": \"[42]\", \"bbox\": [1, 26, 14, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [31, 26, 145, 45]}, {\"cell\": \"Hight-fat diet(42% energy from fat)supplemented 5% LCMUFA or not (control)\", \"bbox\": [162, 26, 252, 63]}, {\"cell\": \"6 weeks\", \"bbox\": [275, 26, 303, 36]}, {\"cell\": \"Plasma TC, LDL-C reduction;Insulin resistance improvement;Anti-inflammation (Decreased plasma resistin levels and inflammatory gene expressions);Increase in n-3 PUFA and decrease in n-6 PUFA in liver\", \"bbox\": [323, 26, 446, 90]}, {\"cell\": \"[43]\", \"bbox\": [0, 94, 14, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [31, 94, 126, 113]}, {\"cell\": \"Chow dietsupplemented 4% LCMUFA or soybean oil (control)\", \"bbox\": [162, 94, 252, 122]}, {\"cell\": \"8 weeks\", \"bbox\": [275, 94, 303, 104]}, {\"cell\": \"Plasma TC, FFA, insulin and leptin reduction;Adipocyte size reduction;Upregulation of Pparg family genes\", \"bbox\": [323, 94, 467, 122]}, {\"cell\": \"[46]\", \"bbox\": [0, 126, 14, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [31, 126, 137, 136]}, {\"cell\": \"Western diet(42% energy from fat)supplemented 5% LCMUFA or not (control)\", \"bbox\": [162, 126, 252, 163]}, {\"cell\": \"12 weeks\", \"bbox\": [275, 126, 307, 136]}, {\"cell\": \"Plasma TC, LDL-C reduction;Atherosclerotic lesion area reduction;Anti-inflammation (Decreased macrophage and inflammatory gene expression in aorta);Upregulation of PPAR signaling pathway in liver\", \"bbox\": [323, 126, 467, 181]}, {\"cell\": \"[46]\", \"bbox\": [0, 185, 14, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [31, 185, 127, 195]}, {\"cell\": \"Western diet(42% energy from fat)supplemented 2% LCMUFA, olive oil, or not (control)\", \"bbox\": [162, 185, 253, 222]}, {\"cell\": \"12 weeks\", \"bbox\": [275, 185, 307, 195]}, {\"cell\": \"No change in plasma lipid levels;Atherosclerotic lesion area reduction;Anti-inflammation (Decreased plasma inflammatory cytokine levels and in aorta);Upregulation of PPAR signaling pathway in liver;Increase in n-3 PUFA and decrease in arachidonic acid (C20:4 n-6) in plasma and liver\", \"bbox\": [323, 185, 484, 249]}, {\"cell\": \"[48]\", \"bbox\": [0, 253, 14, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [31, 253, 118, 272]}, {\"cell\": \"High-fat diet(42% energy from fat)supplemented 6.5% LCMUFA, n-3 PUFA, or not (control)\", \"bbox\": [162, 253, 258, 290]}, {\"cell\": \"3 weeks\", \"bbox\": [275, 253, 303, 263]}, {\"cell\": \"No change in plasma lipid levels;Stimulation of peroxisomal β-oxidation in liver;Increase in n-3 PUFA and decrease in arachidonic acid (C20:4 n-6) in plasma and liver\", \"bbox\": [323, 253, 477, 290]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5120510_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]MRI (N = 168)FDG-PET (N = 328)CSF (N = 274)
APOE4 N (%)50 (29.76%)87 (26.5%)71 (25.9%)
AGE73.4 (6.02)74.5 (5.57)74.4 (5.97)
SEX (% Females)53.6%49.4%50.4%
MMSE29.1 (1.07)29.0 (1.24)29.1 (1.15)
YEARS OF EDUCATION16.6 (2.55)16.3 (2.77)16.3 (2.69)
Aβ1–42***TOTAL200.7 (49.92)201.4 (52.46)[EMPTY_CELL]
[EMPTY_CELL]APOE4−211.3* (46.32)213.5* (46.87)[EMPTY_CELL]
[EMPTY_CELL]APOE4+175.4* (49.58)165.2* (51.85)[EMPTY_CELL]
p-taup181***TOTAL32.4 (16.41)30.78 (18.14)[EMPTY_CELL]
[EMPTY_CELL]APOE4−31.3 (16.68)28.3* (15.31)[EMPTY_CELL]
[EMPTY_CELL]APOE4+35.0 (15.62)38.1* (23.38)[EMPTY_CELL]
t-tau***TOTAL66.0 (31.88)68.9 (34.57)[EMPTY_CELL]
[EMPTY_CELL]APOE4−65.1 (32.60)67.0 (34.84)[EMPTY_CELL]
[EMPTY_CELL]APOE4+68.2 (30.34)74.5 (33.41)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"MRI (N = 168)\", \"bbox\": [218, 2, 282, 18]}, {\"cell\": \"FDG-PET (N = 328)\", \"bbox\": [306, 2, 393, 18]}, {\"cell\": \"CSF (N = 274)\", \"bbox\": [418, 2, 480, 18]}, {\"cell\": \"APOE4 N (%)\", \"bbox\": [4, 19, 67, 34]}, {\"cell\": \"50 (29.76%)\", \"bbox\": [224, 19, 276, 34]}, {\"cell\": \"87 (26.5%)\", \"bbox\": [326, 19, 373, 34]}, {\"cell\": \"71 (25.9%)\", \"bbox\": [425, 19, 472, 34]}, {\"cell\": \"AGE\", \"bbox\": [4, 36, 28, 51]}, {\"cell\": \"73.4 (6.02)\", \"bbox\": [227, 36, 273, 51]}, {\"cell\": \"74.5 (5.57)\", \"bbox\": [326, 36, 373, 51]}, {\"cell\": \"74.4 (5.97)\", \"bbox\": [426, 36, 472, 51]}, {\"cell\": \"SEX (% Females)\", \"bbox\": [4, 53, 82, 68]}, {\"cell\": \"53.6%\", \"bbox\": [236, 53, 264, 68]}, {\"cell\": \"49.4%\", \"bbox\": [336, 53, 363, 68]}, {\"cell\": \"50.4%\", \"bbox\": [435, 53, 463, 68]}, {\"cell\": \"MMSE\", \"bbox\": [4, 70, 37, 85]}, {\"cell\": \"29.1 (1.07)\", \"bbox\": [227, 70, 273, 85]}, {\"cell\": \"29.0 (1.24)\", \"bbox\": [326, 70, 373, 85]}, {\"cell\": \"29.1 (1.15)\", \"bbox\": [426, 70, 472, 85]}, {\"cell\": \"YEARS OF EDUCATION\", \"bbox\": [4, 87, 119, 102]}, {\"cell\": \"16.6 (2.55)\", \"bbox\": [227, 87, 273, 102]}, {\"cell\": \"16.3 (2.77)\", \"bbox\": [326, 87, 373, 102]}, {\"cell\": \"16.3 (2.69)\", \"bbox\": [426, 87, 472, 102]}, {\"cell\": \"Aβ1–42***\", \"bbox\": [4, 107, 45, 121]}, {\"cell\": \"TOTAL\", \"bbox\": [103, 104, 137, 119]}, {\"cell\": \"200.7 (49.92)\", \"bbox\": [222, 104, 278, 119]}, {\"cell\": \"201.4 (52.46)\", \"bbox\": [321, 104, 378, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 104, 477, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"APOE4−\", \"bbox\": [103, 121, 141, 136]}, {\"cell\": \"211.3* (46.32)\", \"bbox\": [220, 121, 281, 136]}, {\"cell\": \"213.5* (46.87)\", \"bbox\": [319, 121, 380, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [418, 121, 479, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"APOE4+\", \"bbox\": [103, 141, 141, 152]}, {\"cell\": \"175.4* (49.58)\", \"bbox\": [220, 138, 281, 153]}, {\"cell\": \"165.2* (51.85)\", \"bbox\": [319, 138, 380, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [418, 141, 479, 152]}, {\"cell\": \"p-taup181***\", \"bbox\": [4, 158, 56, 171]}, {\"cell\": \"TOTAL\", \"bbox\": [103, 155, 137, 170]}, {\"cell\": \"32.4 (16.41)\", \"bbox\": [225, 155, 276, 170]}, {\"cell\": \"30.78 (18.14)\", \"bbox\": [321, 155, 378, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 155, 477, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"APOE4−\", \"bbox\": [103, 172, 141, 187]}, {\"cell\": \"31.3 (16.68)\", \"bbox\": [225, 172, 276, 187]}, {\"cell\": \"28.3* (15.31)\", \"bbox\": [321, 172, 378, 187]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 172, 477, 187]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"APOE4+\", \"bbox\": [103, 192, 141, 203]}, {\"cell\": \"35.0 (15.62)\", \"bbox\": [225, 189, 276, 204]}, {\"cell\": \"38.1* (23.38)\", \"bbox\": [321, 189, 378, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [422, 189, 476, 204]}, {\"cell\": \"t-tau***\", \"bbox\": [4, 209, 42, 220]}, {\"cell\": \"TOTAL\", \"bbox\": [103, 206, 137, 221]}, {\"cell\": \"66.0 (31.88)\", \"bbox\": [225, 206, 276, 221]}, {\"cell\": \"68.9 (34.57)\", \"bbox\": [324, 206, 375, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [423, 206, 474, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"APOE4−\", \"bbox\": [103, 223, 141, 238]}, {\"cell\": \"65.1 (32.60)\", \"bbox\": [225, 223, 276, 238]}, {\"cell\": \"67.0 (34.84)\", \"bbox\": [324, 223, 375, 238]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [418, 223, 479, 238]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"APOE4+\", \"bbox\": [103, 243, 141, 254]}, {\"cell\": \"68.2 (30.34)\", \"bbox\": [225, 240, 276, 255]}, {\"cell\": \"74.5 (33.41)\", \"bbox\": [324, 240, 375, 255]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [418, 240, 479, 255]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4694943_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
MiRNAmiRNA-classChr.Host GeneTranscribed directionLFCTumor SuppressorP-value
let-7c-5pCanonical21MIR99AHG[EMPTY_CELL]−2.13Yes0.001
let-7b-5pCanonical22MIRLET7BHG[EMPTY_CELL]−2.49Yes0.002
let-7f-5p let-7f-1 let-7f-2[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]−1.4Yes0.004
Canonical9JB153432Same[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
CanonicalxHUWE1Same[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
let-7a-5p let-7a-1 let-7a-2 let-7a-3[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]−1.67Yes0.005
Canonical9JB153432Same[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Canonical11MIRLET100Same[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Canonical22MIRLET7BHGSame[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
hsa-miR-423-5pCanonical17NSRP1[EMPTY_CELL]−1.66Yes0.007
hsa-miR-103a-3p hsa-miR-103a-1 hsa-miR-103a-2[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]−0.87Yes0.009
Canonical5PANK3Same[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Canonical20PANK2Same[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
hsa-miR-26b-5pCanonical2CTDSP1[EMPTY_CELL]−2.24Yes0.011
let-7i-5pCanonical12No host gene[EMPTY_CELL]−1.09Yes0.011
hsa-miR-15a-5pCanonical13DLEU2[EMPTY_CELL]−1.18Unknown0.011
hsa-miR-3605-5pMirtron1PHC2[EMPTY_CELL]−1.23Unknown0.030
hsa-miR-192-5pCanonical11AB429224[EMPTY_CELL]−0.84Yes0.047
\", \"cells\": [{\"cell\": \"MiRNA\", \"bbox\": [25, 11, 61, 19]}, {\"cell\": \"miRNA-class\", \"bbox\": [87, 7, 145, 22]}, {\"cell\": \"Chr.\", \"bbox\": [172, 7, 193, 22]}, {\"cell\": \"Host Gene\", \"bbox\": [232, 7, 278, 22]}, {\"cell\": \"Transcribed direction\", \"bbox\": [299, 1, 353, 28]}, {\"cell\": \"LFC\", \"bbox\": [365, 11, 387, 19]}, {\"cell\": \"Tumor Suppressor\", \"bbox\": [397, 1, 447, 28]}, {\"cell\": \"P-value\", \"bbox\": [457, 7, 491, 22]}, {\"cell\": \"let-7c-5p\", \"bbox\": [5, 28, 44, 43]}, {\"cell\": \"Canonical\", \"bbox\": [95, 31, 138, 42]}, {\"cell\": \"21\", \"bbox\": [177, 31, 189, 42]}, {\"cell\": \"MIR99AHG\", \"bbox\": [230, 31, 280, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [314, 31, 338, 42]}, {\"cell\": \"−2.13\", \"bbox\": [363, 28, 388, 43]}, {\"cell\": \"Yes\", \"bbox\": [414, 31, 430, 42]}, {\"cell\": \"0.001\", \"bbox\": [462, 31, 487, 42]}, {\"cell\": \"let-7b-5p\", \"bbox\": [5, 43, 45, 58]}, {\"cell\": \"Canonical\", \"bbox\": [95, 46, 138, 57]}, {\"cell\": \"22\", \"bbox\": [177, 46, 189, 57]}, {\"cell\": \"MIRLET7BHG\", \"bbox\": [224, 46, 286, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [314, 46, 338, 57]}, {\"cell\": \"−2.49\", \"bbox\": [363, 43, 388, 58]}, {\"cell\": \"Yes\", \"bbox\": [414, 46, 430, 57]}, {\"cell\": \"0.002\", \"bbox\": [462, 46, 487, 57]}, {\"cell\": \"let-7f-5p let-7f-1 let-7f-2\", \"bbox\": [5, 58, 57, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−1.4\", \"bbox\": [365, 58, 386, 73]}, {\"cell\": \"Yes\", \"bbox\": [414, 61, 430, 72]}, {\"cell\": \"0.004\", \"bbox\": [462, 61, 487, 72]}, {\"cell\": \"Canonical\", \"bbox\": [95, 76, 138, 87]}, {\"cell\": \"9\", \"bbox\": [179, 76, 186, 87]}, {\"cell\": \"JB153432\", \"bbox\": [234, 76, 276, 85]}, {\"cell\": \"Same\", \"bbox\": [314, 76, 338, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Canonical\", \"bbox\": [95, 91, 138, 102]}, {\"cell\": \"x\", \"bbox\": [179, 91, 186, 102]}, {\"cell\": \"HUWE1\", \"bbox\": [237, 91, 273, 100]}, {\"cell\": \"Same\", \"bbox\": [314, 91, 338, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"let-7a-5p let-7a-1 let-7a-2 let-7a-3\", \"bbox\": [5, 103, 58, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−1.67\", \"bbox\": [363, 103, 388, 118]}, {\"cell\": \"Yes\", \"bbox\": [414, 106, 430, 117]}, {\"cell\": \"0.005\", \"bbox\": [462, 106, 486, 117]}, {\"cell\": \"Canonical\", \"bbox\": [95, 121, 138, 132]}, {\"cell\": \"9\", \"bbox\": [179, 121, 186, 132]}, {\"cell\": \"JB153432\", \"bbox\": [234, 121, 276, 130]}, {\"cell\": \"Same\", \"bbox\": [314, 121, 338, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Canonical\", \"bbox\": [95, 136, 138, 147]}, {\"cell\": \"11\", \"bbox\": [177, 136, 188, 147]}, {\"cell\": \"MIRLET100\", \"bbox\": [229, 136, 281, 145]}, {\"cell\": \"Same\", \"bbox\": [314, 136, 338, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Canonical\", \"bbox\": [95, 151, 138, 162]}, {\"cell\": \"22\", \"bbox\": [177, 151, 189, 162]}, {\"cell\": \"MIRLET7BHG\", \"bbox\": [224, 151, 286, 160]}, {\"cell\": \"Same\", \"bbox\": [314, 151, 338, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"hsa-miR-423-5p\", \"bbox\": [5, 162, 75, 178]}, {\"cell\": \"Canonical\", \"bbox\": [95, 166, 138, 177]}, {\"cell\": \"17\", \"bbox\": [177, 166, 189, 177]}, {\"cell\": \"NSRP1\", \"bbox\": [240, 166, 270, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [314, 166, 338, 177]}, {\"cell\": \"−1.66\", \"bbox\": [363, 163, 388, 178]}, {\"cell\": \"Yes\", \"bbox\": [414, 166, 430, 177]}, {\"cell\": \"0.007\", \"bbox\": [462, 166, 486, 177]}, {\"cell\": \"hsa-miR-103a-3p hsa-miR-103a-1 hsa-miR-103a-2\", \"bbox\": [5, 177, 81, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−0.87\", \"bbox\": [363, 178, 388, 193]}, {\"cell\": \"Yes\", \"bbox\": [414, 181, 430, 192]}, {\"cell\": \"0.009\", \"bbox\": [462, 181, 486, 192]}, {\"cell\": \"Canonical\", \"bbox\": [95, 196, 138, 207]}, {\"cell\": \"5\", \"bbox\": [179, 196, 186, 207]}, {\"cell\": \"PANK3\", \"bbox\": [239, 196, 271, 205]}, {\"cell\": \"Same\", \"bbox\": [314, 196, 338, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Canonical\", \"bbox\": [95, 211, 138, 222]}, {\"cell\": \"20\", \"bbox\": [177, 211, 189, 222]}, {\"cell\": \"PANK2\", \"bbox\": [239, 211, 271, 220]}, {\"cell\": \"Same\", \"bbox\": [314, 211, 338, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"hsa-miR-26b-5p\", \"bbox\": [5, 222, 76, 237]}, {\"cell\": \"Canonical\", \"bbox\": [95, 226, 138, 237]}, {\"cell\": \"2\", \"bbox\": [179, 226, 186, 237]}, {\"cell\": \"CTDSP1\", \"bbox\": [236, 226, 274, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [314, 226, 338, 237]}, {\"cell\": \"−2.24\", \"bbox\": [363, 222, 388, 238]}, {\"cell\": \"Yes\", \"bbox\": [414, 226, 430, 237]}, {\"cell\": \"0.011\", \"bbox\": [462, 226, 486, 237]}, {\"cell\": \"let-7i-5p\", \"bbox\": [5, 237, 43, 252]}, {\"cell\": \"Canonical\", \"bbox\": [95, 240, 138, 252]}, {\"cell\": \"12\", \"bbox\": [177, 240, 189, 252]}, {\"cell\": \"No host gene\", \"bbox\": [228, 240, 282, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [317, 240, 336, 252]}, {\"cell\": \"−1.09\", \"bbox\": [363, 237, 388, 252]}, {\"cell\": \"Yes\", \"bbox\": [414, 240, 430, 252]}, {\"cell\": \"0.011\", \"bbox\": [462, 240, 486, 252]}, {\"cell\": \"hsa-miR-15a-5p\", \"bbox\": [5, 252, 75, 267]}, {\"cell\": \"Canonical\", \"bbox\": [95, 255, 138, 266]}, {\"cell\": \"13\", \"bbox\": [177, 255, 189, 266]}, {\"cell\": \"DLEU2\", \"bbox\": [238, 256, 272, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [314, 255, 338, 266]}, {\"cell\": \"−1.18\", \"bbox\": [363, 252, 388, 267]}, {\"cell\": \"Unknown\", \"bbox\": [401, 255, 443, 266]}, {\"cell\": \"0.011\", \"bbox\": [462, 255, 486, 266]}, {\"cell\": \"hsa-miR-3605-5p\", \"bbox\": [5, 267, 80, 282]}, {\"cell\": \"Mirtron\", \"bbox\": [100, 270, 133, 281]}, {\"cell\": \"1\", \"bbox\": [179, 270, 186, 281]}, {\"cell\": \"PHC2\", \"bbox\": [242, 271, 269, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [314, 270, 338, 281]}, {\"cell\": \"−1.23\", \"bbox\": [363, 267, 388, 282]}, {\"cell\": \"Unknown\", \"bbox\": [401, 270, 443, 281]}, {\"cell\": \"0.030\", \"bbox\": [462, 270, 486, 281]}, {\"cell\": \"hsa-miR-192-5p\", \"bbox\": [5, 282, 75, 297]}, {\"cell\": \"Canonical\", \"bbox\": [95, 285, 138, 296]}, {\"cell\": \"11\", \"bbox\": [177, 285, 188, 296]}, {\"cell\": \"AB429224\", \"bbox\": [233, 285, 277, 294]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [314, 285, 338, 296]}, {\"cell\": \"−0.84\", \"bbox\": [363, 282, 388, 297]}, {\"cell\": \"Yes\", \"bbox\": [414, 285, 430, 296]}, {\"cell\": \"0.047\", \"bbox\": [462, 285, 486, 296]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4891095_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Participants' responseDomainExample
Agree or strongly agree1) ability to plan[EMPTY_CELL]
[EMPTY_CELL]2) communication preferences[EMPTY_CELL]
[EMPTY_CELL]3) knowledge preferences[EMPTY_CELL]
Disagree or strongly disagree1) ability to plan[EMPTY_CELL]
[EMPTY_CELL]2) communication preferences[EMPTY_CELL]
[EMPTY_CELL]3) knowledge preferences[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Participants' response\", \"bbox\": [4, 4, 79, 14]}, {\"cell\": \"Domain\", \"bbox\": [128, 4, 157, 14]}, {\"cell\": \"Example\", \"bbox\": [252, 4, 282, 14]}, {\"cell\": \"Agree or strongly agree\", \"bbox\": [4, 27, 86, 36]}, {\"cell\": \"1) ability to plan\", \"bbox\": [128, 27, 184, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 27, 495, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2) communication preferences\", \"bbox\": [128, 55, 232, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 55, 495, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3) knowledge preferences\", \"bbox\": [128, 75, 217, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 75, 487, 94]}, {\"cell\": \"Disagree or strongly disagree\", \"bbox\": [4, 94, 105, 104]}, {\"cell\": \"1) ability to plan\", \"bbox\": [128, 94, 184, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 94, 475, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2) communication preferences\", \"bbox\": [128, 105, 232, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 105, 495, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3) knowledge preferences\", \"bbox\": [128, 133, 217, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 133, 489, 152]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC1386682_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariableIsolation of Aspergillus spp.Candida spp. infectionNoncolonized, uninfected patientsP
Patients (n)[EMPTY_CELL]105720[EMPTY_CELL]
Age (years; mean ± SD)[EMPTY_CELL]59.5 ± 16.356.4 ± 17.4NS
Men (n [%])[EMPTY_CELL]76 (72.4)491 (68.2)NS
APACHE II score (mean ± SD)[EMPTY_CELL]18.5 ± 6.518.9 ± 8.10.05
ICU stay (days; mean ± SD)[EMPTY_CELL]32.8 (22.6)18.4 (14.1)<0.001
Risk factors before ICU admission (n [%])
Diabetes mellitus[EMPTY_CELL]18 (17.1)113 (15.7)NS
COPD[EMPTY_CELL]16 (15.2)179 (24.9)0.002
Solid neoplasm[EMPTY_CELL]21 (20)65 (9)0.002
Hematological neoplasm[EMPTY_CELL]3 (2.9)18 (2.5)NS
Transplant recipient[EMPTY_CELL]03 (0.4)<0.001
Immunosuppression[EMPTY_CELL]8 (7.6)48 (6.7)<0.001
Chronic renal failure[EMPTY_CELL]4 (3.8)26 (3.6)NS
HIV infection[EMPTY_CELL]2 (1.9)9 (1.3)NS
Chronic liver disease[EMPTY_CELL]3 (2.9)29 (4)NS
Severe heart failure[EMPTY_CELL]4 (3.8)41 (5.7)NS
Radiation therapy[EMPTY_CELL]4 (3.8)7 (1)NS
Chemotherapy[EMPTY_CELL]3 (2.9)13 (1.8)NS
Risk factors during ICU stay
Arterial catheter[EMPTY_CELL]74 (70.4)498 (69.1)NS
Venous catheter[EMPTY_CELL]104 (99.0)711 (98.6)NS
Urinary catheter[EMPTY_CELL]100 (95.2)703 (97.5)NS
Mechanical ventilation[EMPTY_CELL]99 (94.2)640 (88.8)0.019
Total parenteral nutrition[EMPTY_CELL]90 (85.7)274 (38.0)<0.001
Haemodialysis[EMPTY_CELL]34 (32.3)56 (7.8)<0.001
Neutropenia[EMPTY_CELL]5 (4.7)20 (2.8)0.001
Steroids[EMPTY_CELL]25 (23.8)139 (19.3)<0.001
Antibiotic treatment[EMPTY_CELL]105 (100)674 (93.5)<0.001
\", \"cells\": [{\"cell\": \"Variable\", \"bbox\": [5, 9, 30, 18]}, {\"cell\": \"Isolation of Aspergillus spp.\", \"bbox\": [112, 9, 196, 18]}, {\"cell\": \"Candida spp. infection\", \"bbox\": [217, 9, 287, 18]}, {\"cell\": \"Noncolonized, uninfected patients\", \"bbox\": [307, 9, 410, 18]}, {\"cell\": \"P\", \"bbox\": [455, 9, 461, 18]}, {\"cell\": \"Patients (n)\", \"bbox\": [5, 27, 41, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [149, 27, 159, 36]}, {\"cell\": \"105\", \"bbox\": [245, 27, 259, 36]}, {\"cell\": \"720\", \"bbox\": [351, 27, 365, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Age (years; mean ± SD)\", \"bbox\": [5, 42, 79, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [134, 42, 174, 51]}, {\"cell\": \"59.5 ± 16.3\", \"bbox\": [233, 42, 271, 51]}, {\"cell\": \"56.4 ± 17.4\", \"bbox\": [339, 42, 377, 51]}, {\"cell\": \"NS\", \"bbox\": [452, 42, 464, 51]}, {\"cell\": \"Men (n [%])\", \"bbox\": [5, 56, 42, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [141, 56, 166, 65]}, {\"cell\": \"76 (72.4)\", \"bbox\": [237, 56, 267, 65]}, {\"cell\": \"491 (68.2)\", \"bbox\": [341, 56, 375, 65]}, {\"cell\": \"NS\", \"bbox\": [452, 56, 464, 65]}, {\"cell\": \"APACHE II score (mean ± SD)\", \"bbox\": [5, 71, 99, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [137, 71, 171, 80]}, {\"cell\": \"18.5 ± 6.5\", \"bbox\": [235, 71, 269, 80]}, {\"cell\": \"18.9 ± 8.1\", \"bbox\": [341, 71, 375, 80]}, {\"cell\": \"0.05\", \"bbox\": [450, 71, 466, 80]}, {\"cell\": \"ICU stay (days; mean ± SD)\", \"bbox\": [5, 85, 90, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [134, 85, 174, 94]}, {\"cell\": \"32.8 (22.6)\", \"bbox\": [234, 85, 270, 94]}, {\"cell\": \"18.4 (14.1)\", \"bbox\": [340, 85, 376, 94]}, {\"cell\": \"<0.001\", \"bbox\": [446, 85, 470, 94]}, {\"cell\": \"Risk factors before ICU admission (n [%])\", \"bbox\": [5, 100, 130, 109]}, {\"cell\": \"Diabetes mellitus\", \"bbox\": [24, 114, 77, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [141, 114, 167, 123]}, {\"cell\": \"18 (17.1)\", \"bbox\": [237, 114, 267, 123]}, {\"cell\": \"113 (15.7)\", \"bbox\": [341, 114, 375, 123]}, {\"cell\": \"NS\", \"bbox\": [452, 114, 464, 123]}, {\"cell\": \"COPD\", \"bbox\": [24, 129, 47, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 129, 169, 138]}, {\"cell\": \"16 (15.2)\", \"bbox\": [237, 129, 267, 138]}, {\"cell\": \"179 (24.9)\", \"bbox\": [341, 129, 375, 138]}, {\"cell\": \"0.002\", \"bbox\": [448, 129, 468, 138]}, {\"cell\": \"Solid neoplasm\", \"bbox\": [24, 143, 72, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 143, 165, 152]}, {\"cell\": \"21 (20)\", \"bbox\": [240, 143, 264, 152]}, {\"cell\": \"65 (9)\", \"bbox\": [348, 143, 369, 152]}, {\"cell\": \"0.002\", \"bbox\": [448, 143, 468, 152]}, {\"cell\": \"Hematological neoplasm\", \"bbox\": [24, 158, 100, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 158, 165, 167]}, {\"cell\": \"3 (2.9)\", \"bbox\": [241, 158, 263, 167]}, {\"cell\": \"18 (2.5)\", \"bbox\": [345, 158, 371, 167]}, {\"cell\": \"NS\", \"bbox\": [452, 158, 464, 167]}, {\"cell\": \"Transplant recipient\", \"bbox\": [24, 172, 85, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 172, 165, 181]}, {\"cell\": \"0\", \"bbox\": [249, 172, 255, 181]}, {\"cell\": \"3 (0.4)\", \"bbox\": [347, 172, 369, 181]}, {\"cell\": \"<0.001\", \"bbox\": [446, 172, 470, 181]}, {\"cell\": \"Immunosuppression\", \"bbox\": [24, 187, 86, 196]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 187, 169, 196]}, {\"cell\": \"8 (7.6)\", \"bbox\": [241, 187, 263, 196]}, {\"cell\": \"48 (6.7)\", \"bbox\": [345, 187, 371, 196]}, {\"cell\": \"<0.001\", \"bbox\": [446, 187, 470, 196]}, {\"cell\": \"Chronic renal failure\", \"bbox\": [24, 201, 86, 210]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 201, 165, 210]}, {\"cell\": \"4 (3.8)\", \"bbox\": [241, 201, 263, 210]}, {\"cell\": \"26 (3.6)\", \"bbox\": [345, 201, 371, 210]}, {\"cell\": \"NS\", \"bbox\": [452, 201, 464, 210]}, {\"cell\": \"HIV infection\", \"bbox\": [24, 216, 65, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 216, 165, 225]}, {\"cell\": \"2 (1.9)\", \"bbox\": [241, 216, 263, 225]}, {\"cell\": \"9 (1.3)\", \"bbox\": [347, 216, 369, 225]}, {\"cell\": \"NS\", \"bbox\": [452, 216, 464, 225]}, {\"cell\": \"Chronic liver disease\", \"bbox\": [24, 230, 89, 239]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 230, 165, 239]}, {\"cell\": \"3 (2.9)\", \"bbox\": [241, 230, 263, 239]}, {\"cell\": \"29 (4)\", \"bbox\": [348, 230, 369, 239]}, {\"cell\": \"NS\", \"bbox\": [452, 230, 464, 239]}, {\"cell\": \"Severe heart failure\", \"bbox\": [24, 245, 84, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 245, 165, 254]}, {\"cell\": \"4 (3.8)\", \"bbox\": [241, 245, 263, 254]}, {\"cell\": \"41 (5.7)\", \"bbox\": [345, 245, 371, 254]}, {\"cell\": \"NS\", \"bbox\": [452, 245, 464, 254]}, {\"cell\": \"Radiation therapy\", \"bbox\": [24, 259, 78, 268]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [151, 259, 157, 268]}, {\"cell\": \"4 (3.8)\", \"bbox\": [241, 259, 263, 268]}, {\"cell\": \"7 (1)\", \"bbox\": [350, 259, 366, 268]}, {\"cell\": \"NS\", \"bbox\": [452, 259, 464, 268]}, {\"cell\": \"Chemotherapy\", \"bbox\": [24, 274, 70, 283]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 274, 165, 283]}, {\"cell\": \"3 (2.9)\", \"bbox\": [241, 274, 263, 283]}, {\"cell\": \"13 (1.8)\", \"bbox\": [345, 274, 371, 283]}, {\"cell\": \"NS\", \"bbox\": [452, 274, 464, 283]}, {\"cell\": \"Risk factors during ICU stay\", \"bbox\": [5, 288, 90, 297]}, {\"cell\": \"Arterial catheter\", \"bbox\": [24, 303, 74, 312]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 303, 169, 312]}, {\"cell\": \"74 (70.4)\", \"bbox\": [237, 303, 267, 312]}, {\"cell\": \"498 (69.1)\", \"bbox\": [341, 303, 375, 312]}, {\"cell\": \"NS\", \"bbox\": [452, 303, 464, 312]}, {\"cell\": \"Venous catheter\", \"bbox\": [24, 317, 75, 326]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 317, 168, 326]}, {\"cell\": \"104 (99.0)\", \"bbox\": [235, 317, 269, 326]}, {\"cell\": \"711 (98.6)\", \"bbox\": [341, 317, 375, 326]}, {\"cell\": \"NS\", \"bbox\": [452, 317, 464, 326]}, {\"cell\": \"Urinary catheter\", \"bbox\": [24, 332, 74, 341]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 332, 168, 341]}, {\"cell\": \"100 (95.2)\", \"bbox\": [235, 332, 269, 341]}, {\"cell\": \"703 (97.5)\", \"bbox\": [341, 332, 375, 341]}, {\"cell\": \"NS\", \"bbox\": [452, 332, 464, 341]}, {\"cell\": \"Mechanical ventilation\", \"bbox\": [24, 346, 92, 355]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 346, 169, 355]}, {\"cell\": \"99 (94.2)\", \"bbox\": [237, 346, 267, 355]}, {\"cell\": \"640 (88.8)\", \"bbox\": [341, 346, 375, 355]}, {\"cell\": \"0.019\", \"bbox\": [448, 346, 468, 355]}, {\"cell\": \"Total parenteral nutrition\", \"bbox\": [24, 361, 98, 370]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 361, 169, 370]}, {\"cell\": \"90 (85.7)\", \"bbox\": [237, 361, 267, 370]}, {\"cell\": \"274 (38.0)\", \"bbox\": [341, 361, 375, 370]}, {\"cell\": \"<0.001\", \"bbox\": [446, 361, 470, 370]}, {\"cell\": \"Haemodialysis\", \"bbox\": [24, 375, 69, 384]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 375, 169, 384]}, {\"cell\": \"34 (32.3)\", \"bbox\": [237, 375, 267, 384]}, {\"cell\": \"56 (7.8)\", \"bbox\": [345, 375, 371, 384]}, {\"cell\": \"<0.001\", \"bbox\": [446, 375, 470, 384]}, {\"cell\": \"Neutropenia\", \"bbox\": [24, 390, 63, 399]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [141, 390, 167, 399]}, {\"cell\": \"5 (4.7)\", \"bbox\": [241, 390, 263, 399]}, {\"cell\": \"20 (2.8)\", \"bbox\": [345, 390, 371, 399]}, {\"cell\": \"0.001\", \"bbox\": [448, 390, 468, 399]}, {\"cell\": \"Steroids\", \"bbox\": [24, 404, 52, 413]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 404, 169, 413]}, {\"cell\": \"25 (23.8)\", \"bbox\": [237, 404, 267, 413]}, {\"cell\": \"139 (19.3)\", \"bbox\": [341, 404, 375, 413]}, {\"cell\": \"<0.001\", \"bbox\": [446, 404, 470, 413]}, {\"cell\": \"Antibiotic treatment\", \"bbox\": [24, 419, 85, 428]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 419, 168, 428]}, {\"cell\": \"105 (100)\", \"bbox\": [236, 419, 269, 428]}, {\"cell\": \"674 (93.5)\", \"bbox\": [341, 419, 375, 428]}, {\"cell\": \"<0.001\", \"bbox\": [446, 419, 470, 428]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC1175876_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Pat2 days7 days14 daysP-value
[EMPTY_CELL][EMPTY_CELL]nRisknRisknRisk
Age <60 years[EMPTY_CELL]15% (0-15%)15% (0-15%)211% (0-25%)p = 0.95
Age ≥60 years[EMPTY_CELL]115% (2-8%)178% (4-12%)2311% (7-16%)[EMPTY_CELL]
Blood Pressure <140/90[EMPTY_CELL]511% (2-20%)715% (5-26%)817% (6-28%)p = 0.10
Blood Pressure ≥140/90[EMPTY_CELL]74% (1-7%)116% (2-10%)1710% (5-14%)[EMPTY_CELL]
Clinical presentation: Other[EMPTY_CELL]23% (0-7%)23% (0-7%)23% (0-7%)p = 0.06
Clinical presentation: Speech disturbance[EMPTY_CELL]16% (0-17%)318% (0-37%)318% (0-37%)[EMPTY_CELL]
Clinical presentation: Focal weakness[EMPTY_CELL]96% (2-10%)139% (4-13%)2014% (8-20%)[EMPTY_CELL]
Duration <10 min*[EMPTY_CELL]23% (0-8%)23% (0-8%)47% (0-14%)p = 0.45
Duration 10-59 min*[EMPTY_CELL]26% (0-13%)514% (3-25%)514% (3-25%)[EMPTY_CELL]
Duration ≥60 min*[EMPTY_CELL]86% (2-10%)119% (4-13%)1613% (7-18%)[EMPTY_CELL]
Diabetes: Absent[EMPTY_CELL]95% (2-9%)138% (4-12%)1811% (6-16%)p = 0.91
Diabetes: Present[EMPTY_CELL]35% (0-10%)58% (1-15%)712% (3-20%)[EMPTY_CELL]
Dual events: Absent[EMPTY_CELL]105% (2-9%)148% (4-12%)1911% (6-15%)p = 0.61
Dual events: Present[EMPTY_CELL]24% (0-10%)49% (0-17%)614% (3-25%)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Pat\", \"bbox\": [153, 4, 167, 13]}, {\"cell\": \"2 days\", \"bbox\": [186, 4, 211, 13]}, {\"cell\": \"7 days\", \"bbox\": [277, 4, 301, 13]}, {\"cell\": \"14 days\", \"bbox\": [367, 4, 396, 13]}, {\"cell\": \"P-value\", \"bbox\": [457, 4, 484, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"n\", \"bbox\": [186, 17, 193, 27]}, {\"cell\": \"Risk\", \"bbox\": [215, 17, 231, 27]}, {\"cell\": \"n\", \"bbox\": [277, 17, 283, 27]}, {\"cell\": \"Risk\", \"bbox\": [306, 17, 322, 27]}, {\"cell\": \"n\", \"bbox\": [367, 17, 373, 27]}, {\"cell\": \"Risk\", \"bbox\": [396, 17, 412, 27]}, {\"cell\": \"Age <60 years\", \"bbox\": [1, 30, 49, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 30, 163, 40]}, {\"cell\": \"1\", \"bbox\": [186, 30, 192, 40]}, {\"cell\": \"5% (0-15%)\", \"bbox\": [215, 30, 253, 40]}, {\"cell\": \"1\", \"bbox\": [277, 30, 282, 40]}, {\"cell\": \"5% (0-15%)\", \"bbox\": [306, 30, 344, 40]}, {\"cell\": \"2\", \"bbox\": [367, 30, 373, 40]}, {\"cell\": \"11% (0-25%)\", \"bbox\": [396, 30, 438, 40]}, {\"cell\": \"p = 0.95\", \"bbox\": [457, 30, 484, 40]}, {\"cell\": \"Age ≥60 years\", \"bbox\": [1, 44, 49, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 44, 167, 54]}, {\"cell\": \"11\", \"bbox\": [186, 44, 196, 54]}, {\"cell\": \"5% (2-8%)\", \"bbox\": [215, 44, 249, 54]}, {\"cell\": \"17\", \"bbox\": [277, 44, 286, 54]}, {\"cell\": \"8% (4-12%)\", \"bbox\": [306, 44, 344, 54]}, {\"cell\": \"23\", \"bbox\": [367, 44, 376, 54]}, {\"cell\": \"11% (7-16%)\", \"bbox\": [396, 44, 438, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Blood Pressure <140/90\", \"bbox\": [1, 58, 79, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 58, 163, 68]}, {\"cell\": \"5\", \"bbox\": [186, 58, 192, 68]}, {\"cell\": \"11% (2-20%)\", \"bbox\": [215, 58, 257, 68]}, {\"cell\": \"7\", \"bbox\": [277, 58, 282, 68]}, {\"cell\": \"15% (5-26%)\", \"bbox\": [306, 58, 347, 68]}, {\"cell\": \"8\", \"bbox\": [367, 58, 373, 68]}, {\"cell\": \"17% (6-28%)\", \"bbox\": [396, 58, 438, 68]}, {\"cell\": \"p = 0.10\", \"bbox\": [457, 58, 484, 68]}, {\"cell\": \"Blood Pressure ≥140/90\", \"bbox\": [1, 72, 79, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 72, 167, 82]}, {\"cell\": \"7\", \"bbox\": [186, 72, 192, 82]}, {\"cell\": \"4% (1-7%)\", \"bbox\": [215, 72, 249, 82]}, {\"cell\": \"11\", \"bbox\": [277, 72, 286, 82]}, {\"cell\": \"6% (2-10%)\", \"bbox\": [306, 72, 344, 82]}, {\"cell\": \"17\", \"bbox\": [367, 72, 376, 82]}, {\"cell\": \"10% (5-14%)\", \"bbox\": [396, 72, 438, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Clinical presentation: Other\", \"bbox\": [1, 86, 89, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 86, 163, 96]}, {\"cell\": \"2\", \"bbox\": [186, 86, 192, 96]}, {\"cell\": \"3% (0-7%)\", \"bbox\": [215, 86, 249, 96]}, {\"cell\": \"2\", \"bbox\": [277, 86, 282, 96]}, {\"cell\": \"3% (0-7%)\", \"bbox\": [306, 86, 340, 96]}, {\"cell\": \"2\", \"bbox\": [367, 86, 373, 96]}, {\"cell\": \"3% (0-7%)\", \"bbox\": [396, 86, 430, 96]}, {\"cell\": \"p = 0.06\", \"bbox\": [457, 86, 484, 96]}, {\"cell\": \"Clinical presentation: Speech disturbance\", \"bbox\": [1, 100, 134, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 100, 163, 110]}, {\"cell\": \"1\", \"bbox\": [186, 100, 192, 110]}, {\"cell\": \"6% (0-17%)\", \"bbox\": [215, 100, 253, 110]}, {\"cell\": \"3\", \"bbox\": [277, 100, 282, 110]}, {\"cell\": \"18% (0-37%)\", \"bbox\": [306, 100, 347, 110]}, {\"cell\": \"3\", \"bbox\": [367, 100, 373, 110]}, {\"cell\": \"18% (0-37%)\", \"bbox\": [396, 100, 438, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Clinical presentation: Focal weakness\", \"bbox\": [1, 114, 120, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 114, 167, 124]}, {\"cell\": \"9\", \"bbox\": [186, 114, 192, 124]}, {\"cell\": \"6% (2-10%)\", \"bbox\": [215, 114, 253, 124]}, {\"cell\": \"13\", \"bbox\": [277, 114, 286, 124]}, {\"cell\": \"9% (4-13%)\", \"bbox\": [306, 114, 344, 124]}, {\"cell\": \"20\", \"bbox\": [367, 114, 376, 124]}, {\"cell\": \"14% (8-20%)\", \"bbox\": [396, 114, 438, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Duration <10 min*\", \"bbox\": [1, 128, 63, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 128, 163, 138]}, {\"cell\": \"2\", \"bbox\": [186, 128, 192, 138]}, {\"cell\": \"3% (0-8%)\", \"bbox\": [215, 128, 249, 138]}, {\"cell\": \"2\", \"bbox\": [277, 128, 282, 138]}, {\"cell\": \"3% (0-8%)\", \"bbox\": [306, 128, 340, 138]}, {\"cell\": \"4\", \"bbox\": [367, 128, 373, 138]}, {\"cell\": \"7% (0-14%)\", \"bbox\": [396, 128, 434, 138]}, {\"cell\": \"p = 0.45\", \"bbox\": [457, 128, 484, 138]}, {\"cell\": \"Duration 10-59 min*\", \"bbox\": [1, 142, 68, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 142, 163, 152]}, {\"cell\": \"2\", \"bbox\": [186, 142, 192, 152]}, {\"cell\": \"6% (0-13%)\", \"bbox\": [215, 142, 253, 152]}, {\"cell\": \"5\", \"bbox\": [277, 142, 282, 152]}, {\"cell\": \"14% (3-25%)\", \"bbox\": [306, 142, 347, 152]}, {\"cell\": \"5\", \"bbox\": [367, 142, 373, 152]}, {\"cell\": \"14% (3-25%)\", \"bbox\": [396, 142, 438, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Duration ≥60 min*\", \"bbox\": [1, 156, 63, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 156, 167, 166]}, {\"cell\": \"8\", \"bbox\": [186, 156, 192, 166]}, {\"cell\": \"6% (2-10%)\", \"bbox\": [215, 156, 253, 166]}, {\"cell\": \"11\", \"bbox\": [277, 156, 286, 166]}, {\"cell\": \"9% (4-13%)\", \"bbox\": [306, 156, 344, 166]}, {\"cell\": \"16\", \"bbox\": [367, 156, 376, 166]}, {\"cell\": \"13% (7-18%)\", \"bbox\": [396, 156, 438, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Diabetes: Absent\", \"bbox\": [1, 170, 56, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 170, 167, 180]}, {\"cell\": \"9\", \"bbox\": [186, 170, 192, 180]}, {\"cell\": \"5% (2-9%)\", \"bbox\": [215, 170, 249, 180]}, {\"cell\": \"13\", \"bbox\": [277, 170, 286, 180]}, {\"cell\": \"8% (4-12%)\", \"bbox\": [306, 170, 344, 180]}, {\"cell\": \"18\", \"bbox\": [367, 170, 376, 180]}, {\"cell\": \"11% (6-16%)\", \"bbox\": [396, 170, 438, 180]}, {\"cell\": \"p = 0.91\", \"bbox\": [457, 170, 484, 180]}, {\"cell\": \"Diabetes: Present\", \"bbox\": [1, 184, 57, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 184, 163, 194]}, {\"cell\": \"3\", \"bbox\": [186, 184, 192, 194]}, {\"cell\": \"5% (0-10%)\", \"bbox\": [215, 184, 253, 194]}, {\"cell\": \"5\", \"bbox\": [277, 184, 282, 194]}, {\"cell\": \"8% (1-15%)\", \"bbox\": [306, 184, 344, 194]}, {\"cell\": \"7\", \"bbox\": [367, 184, 373, 194]}, {\"cell\": \"12% (3-20%)\", \"bbox\": [396, 184, 438, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Dual events: Absent\", \"bbox\": [1, 198, 66, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 198, 167, 208]}, {\"cell\": \"10\", \"bbox\": [186, 198, 196, 208]}, {\"cell\": \"5% (2-9%)\", \"bbox\": [215, 198, 249, 208]}, {\"cell\": \"14\", \"bbox\": [277, 198, 286, 208]}, {\"cell\": \"8% (4-12%)\", \"bbox\": [306, 198, 344, 208]}, {\"cell\": \"19\", \"bbox\": [367, 198, 376, 208]}, {\"cell\": \"11% (6-15%)\", \"bbox\": [396, 198, 438, 208]}, {\"cell\": \"p = 0.61\", \"bbox\": [457, 198, 484, 208]}, {\"cell\": \"Dual events: Present\", \"bbox\": [1, 212, 68, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 212, 163, 222]}, {\"cell\": \"2\", \"bbox\": [186, 212, 192, 222]}, {\"cell\": \"4% (0-10%)\", \"bbox\": [215, 212, 253, 222]}, {\"cell\": \"4\", \"bbox\": [277, 212, 282, 222]}, {\"cell\": \"9% (0-17%)\", \"bbox\": [306, 212, 344, 222]}, {\"cell\": \"6\", \"bbox\": [367, 212, 373, 222]}, {\"cell\": \"14% (3-25%)\", \"bbox\": [396, 212, 438, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4256835_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Primer & ProbeSequenceConcentrationOrientationaPositionbTm (°C)
Flavi all STACAACATgATggggAARAgAgARAA10 pmol[EMPTY_CELL]8993–901954.7
DEN4 FTACAACATgATgggRAAACgTgAGAA10 pmol[EMPTY_CELL]8996–901960.18
Flavi all AS 1gTCCCANCCDgCKgTRTC10 pmol[EMPTY_CELL]9236–925352.5
[EMPTY_CELL]gTCCCATCCAgCKgTRTCATC5 pmol[EMPTY_CELL]9236–925657.1
Flavi all AS 2gTgTCCCAgCCNgCKgTgTCATCWgC10 pmol[EMPTY_CELL]9232–926069.6
Flavi all probe 1FAM-AARggHAgYMgNgCCA + TH + T + g + g + T-BBQ5 pmol[EMPTY_CELL]9044–906569–83
Flavi all probe 2FAM-Tg + gTWYATgTggYTNg + gRgC--BBQ5 pmol[EMPTY_CELL]9062–908262–75
Flavi all probe 3 mixFAM-Tg + gTWYATgT + ggYTNg + gRgC—BBQc5 pmol[EMPTY_CELL]9062–908266-79
[EMPTY_CELL]FAM-CCgTgCCATATggTATATgTggCTgggAgC-BBQd0.5 pmol[EMPTY_CELL]9052–908174.7
[EMPTY_CELL]FAM-TTTCTggAATTTgAAgCCCTgggTTT-BBQe0.5 pmol[EMPTY_CELL]9086–901268
Flavi all S2TACAACATgATgggMAAACgYgARAA10 pmol[EMPTY_CELL]8996–901958.2
Flavi all AS4gTgTCCCAGCCNgCKgTRTCRTC10 pmol[EMPTY_CELL]9235–926064.1
\", \"cells\": [{\"cell\": \"Primer & Probe\", \"bbox\": [1, 4, 56, 13]}, {\"cell\": \"Sequence\", \"bbox\": [89, 4, 125, 13]}, {\"cell\": \"Concentration\", \"bbox\": [279, 4, 330, 13]}, {\"cell\": \"Orientationa\", \"bbox\": [345, 2, 389, 13]}, {\"cell\": \"Positionb\", \"bbox\": [407, 2, 440, 13]}, {\"cell\": \"Tm (°C)\", \"bbox\": [457, 4, 484, 13]}, {\"cell\": \"Flavi all S\", \"bbox\": [1, 17, 35, 26]}, {\"cell\": \"TACAACATgATggggAARAgAgARAA\", \"bbox\": [89, 17, 205, 26]}, {\"cell\": \"10 pmol\", \"bbox\": [290, 17, 318, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 17, 370, 26]}, {\"cell\": \"8993–9019\", \"bbox\": [405, 17, 442, 26]}, {\"cell\": \"54.7\", \"bbox\": [463, 17, 478, 26]}, {\"cell\": \"DEN4 F\", \"bbox\": [1, 31, 28, 40]}, {\"cell\": \"TACAACATgATgggRAAACgTgAGAA\", \"bbox\": [89, 31, 205, 40]}, {\"cell\": \"10 pmol\", \"bbox\": [290, 31, 318, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 31, 370, 40]}, {\"cell\": \"8996–9019\", \"bbox\": [405, 31, 442, 40]}, {\"cell\": \"60.18\", \"bbox\": [461, 31, 480, 40]}, {\"cell\": \"Flavi all AS 1\", \"bbox\": [1, 44, 47, 54]}, {\"cell\": \"gTCCCANCCDgCKgTRTC\", \"bbox\": [89, 44, 169, 54]}, {\"cell\": \"10 pmol\", \"bbox\": [290, 44, 318, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [362, 44, 372, 54]}, {\"cell\": \"9236–9253\", \"bbox\": [405, 44, 442, 54]}, {\"cell\": \"52.5\", \"bbox\": [463, 44, 478, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"gTCCCATCCAgCKgTRTCATC\", \"bbox\": [89, 58, 180, 68]}, {\"cell\": \"5 pmol\", \"bbox\": [292, 58, 316, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [362, 58, 372, 68]}, {\"cell\": \"9236–9256\", \"bbox\": [405, 58, 442, 68]}, {\"cell\": \"57.1\", \"bbox\": [463, 58, 478, 68]}, {\"cell\": \"Flavi all AS 2\", \"bbox\": [1, 72, 47, 82]}, {\"cell\": \"gTgTCCCAgCCNgCKgTgTCATCWgC\", \"bbox\": [89, 72, 205, 82]}, {\"cell\": \"10 pmol\", \"bbox\": [290, 72, 318, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [362, 72, 372, 82]}, {\"cell\": \"9232–9260\", \"bbox\": [405, 72, 442, 82]}, {\"cell\": \"69.6\", \"bbox\": [463, 72, 478, 82]}, {\"cell\": \"Flavi all probe 1\", \"bbox\": [1, 85, 59, 95]}, {\"cell\": \"FAM-AARggHAgYMgNgCCA + TH + T + g + g + T-BBQ\", \"bbox\": [89, 85, 263, 95]}, {\"cell\": \"5 pmol\", \"bbox\": [292, 85, 316, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 85, 370, 95]}, {\"cell\": \"9044–9065\", \"bbox\": [405, 85, 442, 95]}, {\"cell\": \"69–83\", \"bbox\": [460, 85, 481, 95]}, {\"cell\": \"Flavi all probe 2\", \"bbox\": [1, 99, 59, 108]}, {\"cell\": \"FAM-Tg + gTWYATgTggYTNg + gRgC--BBQ\", \"bbox\": [89, 99, 227, 108]}, {\"cell\": \"5 pmol\", \"bbox\": [292, 99, 316, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 99, 370, 108]}, {\"cell\": \"9062–9082\", \"bbox\": [405, 99, 442, 108]}, {\"cell\": \"62–75\", \"bbox\": [460, 99, 481, 108]}, {\"cell\": \"Flavi all probe 3 mix\", \"bbox\": [1, 112, 74, 121]}, {\"cell\": \"FAM-Tg + gTWYATgT + ggYTNg + gRgC—BBQc\", \"bbox\": [89, 110, 242, 121]}, {\"cell\": \"5 pmol\", \"bbox\": [292, 112, 316, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 112, 370, 121]}, {\"cell\": \"9062–9082\", \"bbox\": [405, 112, 442, 121]}, {\"cell\": \"66-79\", \"bbox\": [461, 112, 481, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"FAM-CCgTgCCATATggTATATgTggCTgggAgC-BBQd\", \"bbox\": [89, 124, 254, 135]}, {\"cell\": \"0.5 pmol\", \"bbox\": [289, 126, 319, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 126, 370, 135]}, {\"cell\": \"9052–9081\", \"bbox\": [405, 126, 442, 135]}, {\"cell\": \"74.7\", \"bbox\": [463, 126, 478, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"FAM-TTTCTggAATTTgAAgCCCTgggTTT-BBQe\", \"bbox\": [89, 138, 233, 149]}, {\"cell\": \"0.5 pmol\", \"bbox\": [289, 140, 319, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 140, 370, 149]}, {\"cell\": \"9086–9012\", \"bbox\": [405, 140, 442, 149]}, {\"cell\": \"68\", \"bbox\": [466, 140, 476, 149]}, {\"cell\": \"Flavi all S2\", \"bbox\": [1, 153, 40, 162]}, {\"cell\": \"TACAACATgATgggMAAACgYgARAA\", \"bbox\": [89, 153, 207, 162]}, {\"cell\": \"10 pmol\", \"bbox\": [290, 153, 318, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 153, 370, 162]}, {\"cell\": \"8996–9019\", \"bbox\": [405, 153, 442, 162]}, {\"cell\": \"58.2\", \"bbox\": [463, 153, 478, 162]}, {\"cell\": \"Flavi all AS4\", \"bbox\": [1, 166, 45, 175]}, {\"cell\": \"gTgTCCCAGCCNgCKgTRTCRTC\", \"bbox\": [89, 166, 189, 175]}, {\"cell\": \"10 pmol\", \"bbox\": [290, 166, 318, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 166, 370, 175]}, {\"cell\": \"9235–9260\", \"bbox\": [405, 166, 442, 175]}, {\"cell\": \"64.1\", \"bbox\": [463, 166, 478, 175]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3616844_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]All Registry Births ≥ 1500 gRegistry Births ≥ 1500 g in HBB Trained Facilities
Pre n/N (Rate/1000)Post n/N (Rate/1000)Estimatesa of Pre-Post Differences in Mortality Rates (95 % CI)PPre n/N (Rate/1000)Post n/N (Rate/1000)Estimatesa of Pre-Post Differences in Mortality Rates (95 % CI)P
Total
Perinatal deaths848/35,539 (23.9)802/35,076 (22.9)−0.14 (−3.15, 2.86)0.92386/15,205 (25.4)374/15,974 (23.4)2.34 (−3.11, 7.80)[EMPTY_CELL]
Fresh stillbirths393/35,595 (11.0)330/35,109 (9.4)1.38 (−0.61, 3.37)0.17191/15,232 (12.5)152/15,985 (9.5)3.75 (−0.21, 7.70)[EMPTY_CELL]
Death by day 1b660/35,539 (18.6)620/35,076 (17.7)−0.02 (−2.51, 2.48)0.99295/15,205 (19.4)297/15,974 (18.6)0.81 (−3.65, 5.26)[EMPTY_CELL]
Early neonatal death by day 7455/35,146 (12.9)472/34,746 (13.6)−1.53 (−3.79, 0.73)0.18195/15,014 (13.0)222/15,822 (14.0)−1.41 (−5.45, 2.64)[EMPTY_CELL]
Kenya
Perinatal deaths232/8947 (25.9)202/8494 (23.8)1.03 (−5.66, 7.71)0.75124/3223 (38.5)98/3477 (28.2)11.71 (0.39, 23.03)[EMPTY_CELL]
Fresh stillbirths155/8972 (17.3)114/8510 (13.4)2.92 (−2.21, 8.04)0.2483/3235 (25.7)57/3481 (16.4)11.27 (0.95, 21.59)[EMPTY_CELL]
Death by day 1204/8947 (22.8)183/8494 (21.5)0.25 (−5.69, 6.19)0.93108/3223 (33.5)92/3477 (26.5)8.09 (−2.05, 18.24)[EMPTY_CELL]
Early neonatal death by day 777/8792 (8.8)88/8380 (10.5)−1.89 (−4.92, 1.14)0.2041/3140 (13.1)41/3420 (12.0)0.52 (−4.40, 5.43)[EMPTY_CELL]
Nagpur, India
Perinatal deaths209/9483 (22.0)239/9768 (24.5)−2.92 (−8.05, 2.21)0.25103/4038 (25.5)130/4367 (29.8)−4.11 (−14.05, 5.82)[EMPTY_CELL]
Fresh stillbirths88/9514 (9.2)90/9784 (9.2)0.08 (−2.88, 3.04)0.9547/4053 (11.6)57/4373 (13.0)−1.27 (−6.80, 4.26)[EMPTY_CELL]
Death by day 1145/9483 (15.3)168/9768 (17.2)−2.11 (−5.91, 1.69)0.2671/4038 (17.6)102/4367 (23.4)−5.07 (–12.57, 2.43)[EMPTY_CELL]
Early neonatal death by day 7121/9395 (12.9)149/9678 (15.4)−3.05 (−7.53, 1.44)0.1756/3991 (14.0)73/4310 (16.9)−2.96 (−12.79, 6.88)[EMPTY_CELL]
Belgaum, India
Perinatal deaths407/17,109 (23.8)361/16,814 (21.5)2.17 (−2.28, 6.62)0.32159/7944 (20.0)146/8130 (18.0)1.05 (−4.94, 7.04)[EMPTY_CELL]
Fresh stillbirths150/17,109 (8.8)126/16,815 (7.5)1.48 (−1.21, 4.17)0.2661/7944 (7.7)38/8131 (4.7)2.49 (−0.78, 5.76)[EMPTY_CELL]
Death by day 1311/17,109 (18.2)269/16,814 (16.0)2.33 (−1.58, 6.25)0.22116/7944 (14.6)103/8130 (12.7)0.87 (−3.88, 5.63)[EMPTY_CELL]
Early neonatal death by day 7257/16,959 (15.2)235/16,688 (14.1)0.73 (−3.50, 4.96)0.7298/7883 (12.4)108/8092 (13.3)−1.39 (−5.42, 2.64)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"All Registry Births ≥ 1500 g\", \"bbox\": [98, 4, 176, 13]}, {\"cell\": \"Registry Births ≥ 1500 g in HBB Trained Facilities\", \"bbox\": [296, 4, 433, 13]}, {\"cell\": \"Pre n/N (Rate/1000)\", \"bbox\": [98, 17, 132, 34]}, {\"cell\": \"Post n/N (Rate/1000)\", \"bbox\": [152, 17, 186, 34]}, {\"cell\": \"Estimatesa of Pre-Post Differences in Mortality Rates (95 % CI)\", \"bbox\": [206, 16, 273, 43]}, {\"cell\": \"P\", \"bbox\": [278, 17, 284, 26]}, {\"cell\": \"Pre n/N (Rate/1000)\", \"bbox\": [296, 17, 329, 34]}, {\"cell\": \"Post n/N (Rate/1000)\", \"bbox\": [350, 17, 383, 34]}, {\"cell\": \"Estimatesa of Pre-Post Differences in Mortality Rates (95 % CI)\", \"bbox\": [404, 16, 467, 43]}, {\"cell\": \"P\", \"bbox\": [471, 17, 477, 26]}, {\"cell\": \"Total\", \"bbox\": [1, 47, 16, 56]}, {\"cell\": \" Perinatal deaths\", \"bbox\": [8, 61, 54, 70]}, {\"cell\": \"848/35,539 (23.9)\", \"bbox\": [98, 61, 148, 70]}, {\"cell\": \"802/35,076 (22.9)\", \"bbox\": [152, 61, 202, 70]}, {\"cell\": \"−0.14 (−3.15, 2.86)\", \"bbox\": [206, 61, 259, 70]}, {\"cell\": \"0.92\", \"bbox\": [278, 61, 291, 70]}, {\"cell\": \"386/15,205 (25.4)\", \"bbox\": [296, 61, 345, 70]}, {\"cell\": \"374/15,974 (23.4)\", \"bbox\": [350, 61, 399, 70]}, {\"cell\": \"2.34 (−3.11, 7.80)\", \"bbox\": [404, 61, 453, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 61, 484, 70]}, {\"cell\": \" Fresh stillbirths\", \"bbox\": [8, 75, 51, 83]}, {\"cell\": \"393/35,595 (11.0)\", \"bbox\": [98, 75, 148, 83]}, {\"cell\": \"330/35,109 (9.4)\", \"bbox\": [152, 75, 194, 83]}, {\"cell\": \"1.38 (−0.61, 3.37)\", \"bbox\": [206, 75, 255, 83]}, {\"cell\": \"0.17\", \"bbox\": [278, 75, 291, 83]}, {\"cell\": \"191/15,232 (12.5)\", \"bbox\": [296, 75, 345, 83]}, {\"cell\": \"152/15,985 (9.5)\", \"bbox\": [350, 75, 396, 83]}, {\"cell\": \"3.75 (−0.21, 7.70)\", \"bbox\": [404, 75, 453, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 75, 484, 83]}, {\"cell\": \" Death by day 1b\", \"bbox\": [8, 87, 56, 97]}, {\"cell\": \"660/35,539 (18.6)\", \"bbox\": [98, 88, 148, 97]}, {\"cell\": \"620/35,076 (17.7)\", \"bbox\": [152, 88, 202, 97]}, {\"cell\": \"−0.02 (−2.51, 2.48)\", \"bbox\": [206, 88, 259, 97]}, {\"cell\": \"0.99\", \"bbox\": [278, 88, 291, 97]}, {\"cell\": \"295/15,205 (19.4)\", \"bbox\": [296, 88, 345, 97]}, {\"cell\": \"297/15,974 (18.6)\", \"bbox\": [350, 88, 399, 97]}, {\"cell\": \"0.81 (−3.65, 5.26)\", \"bbox\": [404, 88, 453, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 88, 484, 97]}, {\"cell\": \" Early neonatal death by day 7\", \"bbox\": [8, 102, 94, 111]}, {\"cell\": \"455/35,146 (12.9)\", \"bbox\": [98, 102, 148, 111]}, {\"cell\": \"472/34,746 (13.6)\", \"bbox\": [152, 102, 202, 111]}, {\"cell\": \"−1.53 (−3.79, 0.73)\", \"bbox\": [206, 102, 259, 111]}, {\"cell\": \"0.18\", \"bbox\": [278, 102, 291, 111]}, {\"cell\": \"195/15,014 (13.0)\", \"bbox\": [296, 102, 345, 111]}, {\"cell\": \"222/15,822 (14.0)\", \"bbox\": [350, 102, 399, 111]}, {\"cell\": \"−1.41 (−5.45, 2.64)\", \"bbox\": [404, 102, 457, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 102, 484, 111]}, {\"cell\": \"Kenya\", \"bbox\": [1, 116, 19, 124]}, {\"cell\": \" Perinatal deaths\", \"bbox\": [8, 130, 54, 138]}, {\"cell\": \"232/8947 (25.9)\", \"bbox\": [98, 130, 143, 138]}, {\"cell\": \"202/8494 (23.8)\", \"bbox\": [152, 130, 197, 138]}, {\"cell\": \"1.03 (−5.66, 7.71)\", \"bbox\": [206, 130, 255, 138]}, {\"cell\": \"0.75\", \"bbox\": [278, 130, 291, 138]}, {\"cell\": \"124/3223 (38.5)\", \"bbox\": [296, 130, 341, 138]}, {\"cell\": \"98/3477 (28.2)\", \"bbox\": [350, 130, 391, 138]}, {\"cell\": \"11.71 (0.39, 23.03)\", \"bbox\": [404, 130, 455, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 130, 484, 138]}, {\"cell\": \" Fresh stillbirths\", \"bbox\": [8, 143, 51, 152]}, {\"cell\": \"155/8972 (17.3)\", \"bbox\": [98, 143, 143, 152]}, {\"cell\": \"114/8510 (13.4)\", \"bbox\": [152, 143, 197, 152]}, {\"cell\": \"2.92 (−2.21, 8.04)\", \"bbox\": [206, 143, 255, 152]}, {\"cell\": \"0.24\", \"bbox\": [278, 143, 291, 152]}, {\"cell\": \"83/3235 (25.7)\", \"bbox\": [296, 143, 337, 152]}, {\"cell\": \"57/3481 (16.4)\", \"bbox\": [350, 143, 391, 152]}, {\"cell\": \"11.27 (0.95, 21.59)\", \"bbox\": [404, 143, 455, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 143, 484, 152]}, {\"cell\": \" Death by day 1\", \"bbox\": [8, 157, 53, 166]}, {\"cell\": \"204/8947 (22.8)\", \"bbox\": [98, 157, 143, 166]}, {\"cell\": \"183/8494 (21.5)\", \"bbox\": [152, 157, 197, 166]}, {\"cell\": \"0.25 (−5.69, 6.19)\", \"bbox\": [206, 157, 255, 166]}, {\"cell\": \"0.93\", \"bbox\": [278, 157, 291, 166]}, {\"cell\": \"108/3223 (33.5)\", \"bbox\": [296, 157, 341, 166]}, {\"cell\": \"92/3477 (26.5)\", \"bbox\": [350, 157, 391, 166]}, {\"cell\": \"8.09 (−2.05, 18.24)\", \"bbox\": [404, 157, 456, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 157, 484, 166]}, {\"cell\": \" Early neonatal death by day 7\", \"bbox\": [8, 171, 94, 179]}, {\"cell\": \"77/8792 (8.8)\", \"bbox\": [98, 171, 136, 179]}, {\"cell\": \"88/8380 (10.5)\", \"bbox\": [152, 171, 194, 179]}, {\"cell\": \"−1.89 (−4.92, 1.14)\", \"bbox\": [206, 171, 259, 179]}, {\"cell\": \"0.20\", \"bbox\": [278, 171, 291, 179]}, {\"cell\": \"41/3140 (13.1)\", \"bbox\": [296, 171, 337, 179]}, {\"cell\": \"41/3420 (12.0)\", \"bbox\": [350, 171, 391, 179]}, {\"cell\": \"0.52 (−4.40, 5.43)\", \"bbox\": [404, 171, 453, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 171, 484, 179]}, {\"cell\": \"Nagpur, India\", \"bbox\": [1, 184, 40, 193]}, {\"cell\": \" Perinatal deaths\", \"bbox\": [8, 198, 54, 207]}, {\"cell\": \"209/9483 (22.0)\", \"bbox\": [98, 198, 143, 207]}, {\"cell\": \"239/9768 (24.5)\", \"bbox\": [152, 198, 197, 207]}, {\"cell\": \"−2.92 (−8.05, 2.21)\", \"bbox\": [206, 198, 259, 207]}, {\"cell\": \"0.25\", \"bbox\": [278, 198, 291, 207]}, {\"cell\": \"103/4038 (25.5)\", \"bbox\": [296, 198, 341, 207]}, {\"cell\": \"130/4367 (29.8)\", \"bbox\": [350, 198, 395, 207]}, {\"cell\": \"−4.11 (−14.05, 5.82)\", \"bbox\": [404, 198, 460, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 198, 484, 207]}, {\"cell\": \" Fresh stillbirths\", \"bbox\": [8, 212, 51, 220]}, {\"cell\": \"88/9514 (9.2)\", \"bbox\": [98, 212, 136, 220]}, {\"cell\": \"90/9784 (9.2)\", \"bbox\": [152, 212, 190, 220]}, {\"cell\": \"0.08 (−2.88, 3.04)\", \"bbox\": [206, 212, 255, 220]}, {\"cell\": \"0.95\", \"bbox\": [278, 212, 291, 220]}, {\"cell\": \"47/4053 (11.6)\", \"bbox\": [296, 212, 337, 220]}, {\"cell\": \"57/4373 (13.0)\", \"bbox\": [350, 212, 391, 220]}, {\"cell\": \"−1.27 (−6.80, 4.26)\", \"bbox\": [404, 212, 457, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 212, 484, 220]}, {\"cell\": \" Death by day 1\", \"bbox\": [8, 226, 53, 234]}, {\"cell\": \"145/9483 (15.3)\", \"bbox\": [98, 226, 143, 234]}, {\"cell\": \"168/9768 (17.2)\", \"bbox\": [152, 226, 197, 234]}, {\"cell\": \"−2.11 (−5.91, 1.69)\", \"bbox\": [206, 226, 259, 234]}, {\"cell\": \"0.26\", \"bbox\": [278, 226, 291, 234]}, {\"cell\": \"71/4038 (17.6)\", \"bbox\": [296, 226, 337, 234]}, {\"cell\": \"102/4367 (23.4)\", \"bbox\": [350, 226, 395, 234]}, {\"cell\": \"−5.07 (–12.57, 2.43)\", \"bbox\": [404, 226, 460, 234]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 226, 484, 234]}, {\"cell\": \" Early neonatal death by day 7\", \"bbox\": [8, 239, 94, 248]}, {\"cell\": \"121/9395 (12.9)\", \"bbox\": [98, 239, 143, 248]}, {\"cell\": \"149/9678 (15.4)\", \"bbox\": [152, 239, 197, 248]}, {\"cell\": \"−3.05 (−7.53, 1.44)\", \"bbox\": [206, 239, 259, 248]}, {\"cell\": \"0.17\", \"bbox\": [278, 239, 291, 248]}, {\"cell\": \"56/3991 (14.0)\", \"bbox\": [296, 239, 337, 248]}, {\"cell\": \"73/4310 (16.9)\", \"bbox\": [350, 239, 391, 248]}, {\"cell\": \"−2.96 (−12.79, 6.88)\", \"bbox\": [404, 239, 460, 248]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 239, 484, 248]}, {\"cell\": \"Belgaum, India\", \"bbox\": [0, 253, 44, 261]}, {\"cell\": \" Perinatal deaths\", \"bbox\": [8, 267, 54, 275]}, {\"cell\": \"407/17,109 (23.8)\", \"bbox\": [98, 267, 148, 275]}, {\"cell\": \"361/16,814 (21.5)\", \"bbox\": [152, 267, 202, 275]}, {\"cell\": \"2.17 (−2.28, 6.62)\", \"bbox\": [206, 267, 255, 275]}, {\"cell\": \"0.32\", \"bbox\": [278, 267, 291, 275]}, {\"cell\": \"159/7944 (20.0)\", \"bbox\": [296, 267, 341, 275]}, {\"cell\": \"146/8130 (18.0)\", \"bbox\": [350, 267, 395, 275]}, {\"cell\": \"1.05 (−4.94, 7.04)\", \"bbox\": [404, 267, 453, 275]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 267, 484, 275]}, {\"cell\": \" Fresh stillbirths\", \"bbox\": [8, 280, 51, 289]}, {\"cell\": \"150/17,109 (8.8)\", \"bbox\": [98, 280, 144, 289]}, {\"cell\": \"126/16,815 (7.5)\", \"bbox\": [152, 280, 198, 289]}, {\"cell\": \"1.48 (−1.21, 4.17)\", \"bbox\": [206, 280, 255, 289]}, {\"cell\": \"0.26\", \"bbox\": [278, 280, 291, 289]}, {\"cell\": \"61/7944 (7.7)\", \"bbox\": [296, 280, 334, 289]}, {\"cell\": \"38/8131 (4.7)\", \"bbox\": [350, 280, 388, 289]}, {\"cell\": \"2.49 (−0.78, 5.76)\", \"bbox\": [404, 280, 453, 289]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 280, 484, 289]}, {\"cell\": \" Death by day 1\", \"bbox\": [8, 294, 53, 303]}, {\"cell\": \"311/17,109 (18.2)\", \"bbox\": [98, 294, 148, 303]}, {\"cell\": \"269/16,814 (16.0)\", \"bbox\": [152, 294, 202, 303]}, {\"cell\": \"2.33 (−1.58, 6.25)\", \"bbox\": [206, 294, 255, 303]}, {\"cell\": \"0.22\", \"bbox\": [278, 294, 291, 303]}, {\"cell\": \"116/7944 (14.6)\", \"bbox\": [296, 294, 341, 303]}, {\"cell\": \"103/8130 (12.7)\", \"bbox\": [350, 294, 395, 303]}, {\"cell\": \"0.87 (−3.88, 5.63)\", \"bbox\": [404, 294, 453, 303]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 294, 484, 303]}, {\"cell\": \" Early neonatal death by day 7\", \"bbox\": [8, 308, 94, 316]}, {\"cell\": \"257/16,959 (15.2)\", \"bbox\": [98, 308, 148, 316]}, {\"cell\": \"235/16,688 (14.1)\", \"bbox\": [152, 308, 202, 316]}, {\"cell\": \"0.73 (−3.50, 4.96)\", \"bbox\": [206, 308, 255, 316]}, {\"cell\": \"0.72\", \"bbox\": [278, 308, 291, 316]}, {\"cell\": \"98/7883 (12.4)\", \"bbox\": [296, 308, 337, 316]}, {\"cell\": \"108/8092 (13.3)\", \"bbox\": [350, 308, 395, 316]}, {\"cell\": \"−1.39 (−5.42, 2.64)\", \"bbox\": [404, 308, 457, 316]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 308, 484, 316]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5477802_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Cell lineSubtypeTRAIL SensitivityONC201 IC50 (μM)
SUM159Mesenchymal[EMPTY_CELL]0.032
HCC70Epithelial[EMPTY_CELL]0.075
BT20Epithelial[EMPTY_CELL]0.263
HCC1806Epithelial[EMPTY_CELL]0.338
SUM149Mesenchymal[EMPTY_CELL]0.391
HCC1937Epithelial[EMPTY_CELL]1.760
MDA157Mesenchymal[EMPTY_CELL]2.340
MDA468Epithelial[EMPTY_CELL]6.270
MDA231Mesenchymal[EMPTY_CELL]7.010
BT549Mesenchymal[EMPTY_CELL]10.120
\", \"cells\": [{\"cell\": \"Cell line\", \"bbox\": [4, 6, 41, 16]}, {\"cell\": \"Subtype\", \"bbox\": [169, 6, 206, 16]}, {\"cell\": \"TRAIL Sensitivity\", \"bbox\": [272, 6, 352, 16]}, {\"cell\": \"ONC201 IC50 (μM)\", \"bbox\": [393, 2, 480, 17]}, {\"cell\": \"SUM159\", \"bbox\": [4, 23, 42, 34]}, {\"cell\": \"Mesenchymal\", \"bbox\": [159, 23, 217, 34]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 23, 331, 34]}, {\"cell\": \"0.032\", \"bbox\": [424, 23, 449, 34]}, {\"cell\": \"HCC70\", \"bbox\": [4, 40, 36, 51]}, {\"cell\": \"Epithelial\", \"bbox\": [167, 40, 208, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 40, 331, 51]}, {\"cell\": \"0.075\", \"bbox\": [424, 40, 449, 51]}, {\"cell\": \"BT20\", \"bbox\": [4, 57, 28, 68]}, {\"cell\": \"Epithelial\", \"bbox\": [167, 57, 208, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 57, 331, 68]}, {\"cell\": \"0.263\", \"bbox\": [424, 57, 449, 68]}, {\"cell\": \"HCC1806\", \"bbox\": [4, 74, 46, 85]}, {\"cell\": \"Epithelial\", \"bbox\": [167, 74, 208, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 74, 331, 85]}, {\"cell\": \"0.338\", \"bbox\": [424, 74, 449, 85]}, {\"cell\": \"SUM149\", \"bbox\": [4, 91, 42, 102]}, {\"cell\": \"Mesenchymal\", \"bbox\": [159, 91, 217, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 91, 331, 102]}, {\"cell\": \"0.391\", \"bbox\": [424, 91, 449, 102]}, {\"cell\": \"HCC1937\", \"bbox\": [4, 108, 46, 119]}, {\"cell\": \"Epithelial\", \"bbox\": [167, 108, 208, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 108, 331, 119]}, {\"cell\": \"1.760\", \"bbox\": [424, 108, 449, 119]}, {\"cell\": \"MDA157\", \"bbox\": [4, 125, 44, 136]}, {\"cell\": \"Mesenchymal\", \"bbox\": [159, 125, 217, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 125, 331, 136]}, {\"cell\": \"2.340\", \"bbox\": [424, 125, 449, 136]}, {\"cell\": \"MDA468\", \"bbox\": [4, 142, 44, 153]}, {\"cell\": \"Epithelial\", \"bbox\": [167, 142, 208, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 142, 331, 153]}, {\"cell\": \"6.270\", \"bbox\": [424, 142, 449, 153]}, {\"cell\": \"MDA231\", \"bbox\": [4, 158, 44, 170]}, {\"cell\": \"Mesenchymal\", \"bbox\": [159, 158, 217, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 158, 331, 170]}, {\"cell\": \"7.010\", \"bbox\": [424, 158, 449, 170]}, {\"cell\": \"BT549\", \"bbox\": [4, 175, 33, 187]}, {\"cell\": \"Mesenchymal\", \"bbox\": [159, 175, 217, 187]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 175, 331, 187]}, {\"cell\": \"10.120\", \"bbox\": [422, 175, 451, 187]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5400611_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
CharacteristicPartial moleComplete mole
DevelopmentSome fetal development but malformed[EMPTY_CELL]
VilliSome enlarged; two populations of villiBlood vessels and fetal red blood cells presentScalloped outlines with pseudoinclusions and invaginationsFocal trophoblast proliferationMinimal trophoblast atypia[EMPTY_CELL]
OriginBoth maternal and paternal[EMPTY_CELL]
GeneticsTriploid[EMPTY_CELL]
p57 IHC stainPositive[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Characteristic\", \"bbox\": [5, 5, 61, 15]}, {\"cell\": \"Partial mole\", \"bbox\": [84, 5, 133, 15]}, {\"cell\": \"Complete mole\", \"bbox\": [325, 5, 385, 15]}, {\"cell\": \"Development\", \"bbox\": [5, 19, 55, 29]}, {\"cell\": \"Some fetal development but malformed\", \"bbox\": [84, 19, 229, 29]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [325, 19, 500, 29]}, {\"cell\": \"Villi\", \"bbox\": [5, 33, 22, 43]}, {\"cell\": \"Some enlarged; two populations of villiBlood vessels and fetal red blood cells presentScalloped outlines with pseudoinclusions and invaginationsFocal trophoblast proliferationMinimal trophoblast atypia\", \"bbox\": [84, 33, 301, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [325, 33, 481, 97]}, {\"cell\": \"Origin\", \"bbox\": [4, 101, 30, 111]}, {\"cell\": \"Both maternal and paternal\", \"bbox\": [84, 101, 184, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [325, 101, 375, 111]}, {\"cell\": \"Genetics\", \"bbox\": [4, 116, 38, 126]}, {\"cell\": \"Triploid\", \"bbox\": [84, 116, 115, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [325, 116, 407, 126]}, {\"cell\": \"p57 IHC stain\", \"bbox\": [4, 130, 57, 140]}, {\"cell\": \"Positive\", \"bbox\": [84, 130, 115, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [325, 130, 359, 140]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4625817_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Inclusion criteriaExclusion criteria
[EMPTY_CELL]Chronic infection with HIV, Hepatitis B or Hepatitis C
[EMPTY_CELL]Acute severe infection including fungal, viral, bacterial or protozoal diseases
[EMPTY_CELL]Signs of liver toxicity (WHO common toxicity criteria class 2 and higher)
[EMPTY_CELL]Absence of adequate liver function (total bilirubin >25 μmol/L = 1.4 mg/dL unless otherwise explained (for example, inherited, hemolysis), ALT or AST >2.5 times upper limit of normal values)
[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Anemia (hemoglobulin <8.0 g/dL)
[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Leukopenia (leukocytes <4,000/μL unless attributable to SLE: leukocytes <2,000/μL in these cases)
[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Thrombocytopenia (platelets <50,000/μL),
[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Neutrophil counts below 1,000/μL
[EMPTY_CELL]Hypogammaglobulinemia (IgG below 400 mg/dl)
[EMPTY_CELL]Pregnancy or lactation
[EMPTY_CELL]Major and active SLE organ involvement other than the kidney, especially CNS involvement
[EMPTY_CELL]History of malignancy
[EMPTY_CELL]Participation in another clinical trial within six months before screening
\", \"cells\": [{\"cell\": \"Inclusion criteria\", \"bbox\": [1, 4, 60, 12]}, {\"cell\": \"Exclusion criteria\", \"bbox\": [247, 4, 308, 12]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 100, 27]}, {\"cell\": \"Chronic infection with HIV, Hepatitis B or Hepatitis C\", \"bbox\": [247, 17, 419, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 29, 152, 39]}, {\"cell\": \"Acute severe infection including fungal, viral, bacterial or protozoal diseases\", \"bbox\": [247, 29, 465, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 50, 243, 95]}, {\"cell\": \"Signs of liver toxicity (WHO common toxicity criteria class 2 and higher)\", \"bbox\": [247, 50, 482, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 98, 239, 125]}, {\"cell\": \"Absence of adequate liver function (total bilirubin >25 μmol/L = 1.4 mg/dL unless otherwise explained (for example, inherited, hemolysis), ALT or AST >2.5 times upper limit of normal values)\", \"bbox\": [247, 98, 474, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 128, 152, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Anemia (hemoglobulin <8.0 g/dL)\", \"bbox\": [247, 140, 359, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 152, 243, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Leukopenia (leukocytes <4,000/μL unless attributable to SLE: leukocytes <2,000/μL in these cases)\", \"bbox\": [247, 173, 479, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 193, 223, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Thrombocytopenia (platelets <50,000/μL),\", \"bbox\": [247, 214, 382, 224]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 226, 85, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Neutrophil counts below 1,000/μL\", \"bbox\": [247, 238, 359, 248]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Hypogammaglobulinemia (IgG below 400 mg/dl)\", \"bbox\": [247, 250, 408, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Pregnancy or lactation\", \"bbox\": [247, 262, 321, 272]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Major and active SLE organ involvement other than the kidney, especially CNS involvement\", \"bbox\": [247, 274, 454, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"History of malignancy\", \"bbox\": [247, 295, 319, 305]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Participation in another clinical trial within six months before screening\", \"bbox\": [247, 307, 479, 317]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3132014_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Rhinella marina (n = 44)Limnodynastes peroniia (n = 24)Limnodynastes peronii (n = 28)Litoria latopalmataa (n = 11)Litoria latopalmata (n = 10)Litoria nasutaa (n = 1)Litoria nasuta (n = 26)
Mean size (SUL)81.0845.2239.22[EMPTY_CELL]31.9032.337.01
Mean mass (g)88.538.835.86[EMPTY_CELL]2.62.584.54
Rhabdias prevalence (%)70.4536.3638.46[EMPTY_CELL]50016
Mean # Rhabdias16.131.383[EMPTY_CELL]1.201.5
Max # Rhabdias6335[EMPTY_CELL]203
Min # Rhabdias111[EMPTY_CELL]101
Nematode prevalence (%)19.058.3318.52[EMPTY_CELL]20020.83
Mean # nematode42.51.2[EMPTY_CELL]2.503
Max # nematode732[EMPTY_CELL]304
Min # nematode221[EMPTY_CELL]201
Chytrid prevalence (%)2.274.173.57[EMPTY_CELL]0––
Mean # zoospores2.940.360.59[EMPTY_CELL]0––
Max # zoospores6.050.973.42[EMPTY_CELL]0––
Myxidium prevalence (%)003.57[EMPTY_CELL]005
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Rhinella marina (n = 44)\", \"bbox\": [72, 8, 120, 25]}, {\"cell\": \"Limnodynastes peroniia (n = 24)\", \"bbox\": [131, 8, 181, 25]}, {\"cell\": \"Limnodynastes peronii (n = 28)\", \"bbox\": [206, 8, 253, 25]}, {\"cell\": \"Litoria latopalmataa (n = 11)\", \"bbox\": [278, 7, 339, 25]}, {\"cell\": \"Litoria latopalmata (n = 10)\", \"bbox\": [346, 8, 404, 25]}, {\"cell\": \"Litoria nasutaa (n = 1)\", \"bbox\": [412, 7, 456, 25]}, {\"cell\": \"Litoria nasuta (n = 26)\", \"bbox\": [466, 8, 508, 25]}, {\"cell\": \"Mean size (SUL)\", \"bbox\": [9, 29, 60, 37]}, {\"cell\": \"81.08\", \"bbox\": [72, 29, 91, 37]}, {\"cell\": \"45.22\", \"bbox\": [131, 29, 150, 37]}, {\"cell\": \"39.22\", \"bbox\": [206, 29, 225, 37]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [278, 29, 297, 37]}, {\"cell\": \"31.90\", \"bbox\": [346, 29, 365, 37]}, {\"cell\": \"32.3\", \"bbox\": [412, 29, 427, 37]}, {\"cell\": \"37.01\", \"bbox\": [466, 29, 484, 37]}, {\"cell\": \"Mean mass (g)\", \"bbox\": [9, 37, 56, 46]}, {\"cell\": \"88.53\", \"bbox\": [72, 37, 91, 46]}, {\"cell\": \"8.83\", \"bbox\": [135, 37, 150, 46]}, {\"cell\": \"5.86\", \"bbox\": [210, 37, 225, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 37, 297, 46]}, {\"cell\": \"2.6\", \"bbox\": [350, 37, 361, 46]}, {\"cell\": \"2.58\", \"bbox\": [416, 37, 431, 46]}, {\"cell\": \"4.54\", \"bbox\": [469, 37, 484, 46]}, {\"cell\": \"Rhabdias prevalence (%)\", \"bbox\": [9, 46, 64, 63]}, {\"cell\": \"70.45\", \"bbox\": [72, 46, 91, 54]}, {\"cell\": \"36.36\", \"bbox\": [131, 46, 150, 54]}, {\"cell\": \"38.46\", \"bbox\": [206, 46, 225, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [278, 46, 297, 54]}, {\"cell\": \"50\", \"bbox\": [346, 46, 356, 54]}, {\"cell\": \"0\", \"bbox\": [416, 46, 421, 54]}, {\"cell\": \"16\", \"bbox\": [466, 46, 475, 54]}, {\"cell\": \"Mean # Rhabdias\", \"bbox\": [9, 63, 63, 71]}, {\"cell\": \"16.13\", \"bbox\": [72, 63, 91, 71]}, {\"cell\": \"1.38\", \"bbox\": [135, 63, 150, 71]}, {\"cell\": \"3\", \"bbox\": [210, 63, 215, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 63, 288, 71]}, {\"cell\": \"1.2\", \"bbox\": [350, 63, 361, 71]}, {\"cell\": \"0\", \"bbox\": [416, 63, 421, 71]}, {\"cell\": \"1.5\", \"bbox\": [469, 63, 481, 71]}, {\"cell\": \"Max # Rhabdias\", \"bbox\": [9, 72, 59, 80]}, {\"cell\": \"63\", \"bbox\": [72, 72, 82, 80]}, {\"cell\": \"3\", \"bbox\": [135, 72, 141, 80]}, {\"cell\": \"5\", \"bbox\": [210, 72, 215, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 72, 288, 80]}, {\"cell\": \"2\", \"bbox\": [350, 72, 356, 80]}, {\"cell\": \"0\", \"bbox\": [416, 72, 421, 80]}, {\"cell\": \"3\", \"bbox\": [469, 72, 475, 80]}, {\"cell\": \"Min # Rhabdias\", \"bbox\": [9, 80, 58, 89]}, {\"cell\": \"1\", \"bbox\": [76, 80, 82, 89]}, {\"cell\": \"1\", \"bbox\": [135, 80, 141, 89]}, {\"cell\": \"1\", \"bbox\": [210, 80, 215, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 80, 288, 89]}, {\"cell\": \"1\", \"bbox\": [350, 80, 356, 89]}, {\"cell\": \"0\", \"bbox\": [416, 80, 421, 89]}, {\"cell\": \"1\", \"bbox\": [469, 80, 475, 89]}, {\"cell\": \"Nematode prevalence (%)\", \"bbox\": [9, 89, 64, 106]}, {\"cell\": \"19.05\", \"bbox\": [72, 89, 91, 97]}, {\"cell\": \"8.33\", \"bbox\": [135, 89, 150, 97]}, {\"cell\": \"18.52\", \"bbox\": [206, 89, 225, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 89, 288, 97]}, {\"cell\": \"20\", \"bbox\": [346, 89, 356, 97]}, {\"cell\": \"0\", \"bbox\": [416, 89, 421, 97]}, {\"cell\": \"20.83\", \"bbox\": [466, 89, 484, 97]}, {\"cell\": \"Mean # nematode\", \"bbox\": [9, 106, 66, 114]}, {\"cell\": \"4\", \"bbox\": [76, 106, 82, 114]}, {\"cell\": \"2.5\", \"bbox\": [135, 106, 146, 114]}, {\"cell\": \"1.2\", \"bbox\": [210, 106, 221, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 106, 288, 114]}, {\"cell\": \"2.5\", \"bbox\": [350, 106, 361, 114]}, {\"cell\": \"0\", \"bbox\": [416, 106, 421, 114]}, {\"cell\": \"3\", \"bbox\": [469, 106, 475, 114]}, {\"cell\": \"Max # nematode\", \"bbox\": [9, 115, 63, 123]}, {\"cell\": \"7\", \"bbox\": [76, 115, 82, 123]}, {\"cell\": \"3\", \"bbox\": [135, 115, 141, 123]}, {\"cell\": \"2\", \"bbox\": [210, 115, 215, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 115, 288, 123]}, {\"cell\": \"3\", \"bbox\": [350, 115, 356, 123]}, {\"cell\": \"0\", \"bbox\": [416, 115, 421, 123]}, {\"cell\": \"4\", \"bbox\": [469, 115, 475, 123]}, {\"cell\": \"Min # nematode\", \"bbox\": [9, 123, 62, 131]}, {\"cell\": \"2\", \"bbox\": [76, 123, 82, 131]}, {\"cell\": \"2\", \"bbox\": [135, 123, 141, 131]}, {\"cell\": \"1\", \"bbox\": [210, 123, 215, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 123, 288, 131]}, {\"cell\": \"2\", \"bbox\": [350, 123, 356, 131]}, {\"cell\": \"0\", \"bbox\": [416, 123, 421, 131]}, {\"cell\": \"1\", \"bbox\": [469, 123, 475, 131]}, {\"cell\": \"Chytrid prevalence (%)\", \"bbox\": [9, 132, 64, 149]}, {\"cell\": \"2.27\", \"bbox\": [76, 132, 91, 140]}, {\"cell\": \"4.17\", \"bbox\": [135, 132, 150, 140]}, {\"cell\": \"3.57\", \"bbox\": [210, 132, 225, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 132, 297, 140]}, {\"cell\": \"0\", \"bbox\": [350, 132, 356, 140]}, {\"cell\": \"–\", \"bbox\": [416, 132, 421, 140]}, {\"cell\": \"–\", \"bbox\": [469, 132, 475, 140]}, {\"cell\": \"Mean # zoospores\", \"bbox\": [9, 149, 66, 157]}, {\"cell\": \"2.94\", \"bbox\": [76, 149, 91, 157]}, {\"cell\": \"0.3\", \"bbox\": [135, 149, 146, 157]}, {\"cell\": \"60.59\", \"bbox\": [206, 149, 225, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 149, 297, 157]}, {\"cell\": \"0\", \"bbox\": [350, 149, 356, 157]}, {\"cell\": \"–\", \"bbox\": [416, 149, 421, 157]}, {\"cell\": \"–\", \"bbox\": [469, 149, 475, 157]}, {\"cell\": \"Max # zoospores\", \"bbox\": [9, 157, 63, 166]}, {\"cell\": \"6.05\", \"bbox\": [76, 157, 91, 166]}, {\"cell\": \"0.9\", \"bbox\": [135, 157, 146, 166]}, {\"cell\": \"73.42\", \"bbox\": [206, 157, 225, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 157, 293, 166]}, {\"cell\": \"0\", \"bbox\": [350, 157, 356, 166]}, {\"cell\": \"–\", \"bbox\": [416, 157, 421, 166]}, {\"cell\": \"–\", \"bbox\": [469, 157, 475, 166]}, {\"cell\": \"Myxidium prevalence (%)\", \"bbox\": [9, 166, 64, 183]}, {\"cell\": \"0\", \"bbox\": [76, 166, 82, 174]}, {\"cell\": \"0\", \"bbox\": [135, 166, 141, 174]}, {\"cell\": \"3.57\", \"bbox\": [210, 166, 225, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 166, 288, 174]}, {\"cell\": \"0\", \"bbox\": [350, 166, 356, 174]}, {\"cell\": \"0\", \"bbox\": [416, 166, 421, 174]}, {\"cell\": \"5\", \"bbox\": [469, 166, 475, 174]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3862496_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariablenMeanStandard deviationMinimumMaximum
Population2681,848,2631,462,70526,347[EMPTY_CELL]
Area (km2)26817,55221,094160[EMPTY_CELL]
Population density (per km2)2683468353[EMPTY_CELL]
PM10: population-weighted annual average (μg.m-3)26822.37.62.7[EMPTY_CELL]
PM10: population-weighted 36th highest daily mean (μg.m-3)26837.113.13.4[EMPTY_CELL]
Mean household income (PPCS)23514,6895,3892,736[EMPTY_CELL]
Mean smoking rate (%, country level)2932.01.1818.6[EMPTY_CELL]
Premature mortality rate (per 100,000, 2004–2006)
All-cause male210305.3124.2103.2[EMPTY_CELL]
All-cause female210145.640.978.3[EMPTY_CELL]
Circulatory disease male21079.652.724.2[EMPTY_CELL]
Circulatory disease female21027.219.57.8[EMPTY_CELL]
Respiratory disease male21011.87.32.8[EMPTY_CELL]
Respiratory disease female2106.03.41.5[EMPTY_CELL]
Chronic liver disease male21016.512.91.8[EMPTY_CELL]
Chronic liver disease female2105.94.60.6[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Variable\", \"bbox\": [1, 4, 31, 12]}, {\"cell\": \"n\", \"bbox\": [218, 4, 224, 12]}, {\"cell\": \"Mean\", \"bbox\": [252, 4, 273, 12]}, {\"cell\": \"Standard deviation\", \"bbox\": [304, 4, 372, 12]}, {\"cell\": \"Minimum\", \"bbox\": [392, 4, 428, 12]}, {\"cell\": \"Maximum\", \"bbox\": [448, 4, 484, 12]}, {\"cell\": \"Population\", \"bbox\": [1, 17, 37, 27]}, {\"cell\": \"268\", \"bbox\": [218, 17, 231, 27]}, {\"cell\": \"1,848,263\", \"bbox\": [252, 17, 283, 27]}, {\"cell\": \"1,462,705\", \"bbox\": [304, 17, 335, 27]}, {\"cell\": \"26,347\", \"bbox\": [392, 17, 415, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 17, 483, 27]}, {\"cell\": \"Area (km2)\", \"bbox\": [1, 29, 36, 41]}, {\"cell\": \"268\", \"bbox\": [218, 31, 231, 41]}, {\"cell\": \"17,552\", \"bbox\": [252, 31, 274, 41]}, {\"cell\": \"21,094\", \"bbox\": [304, 31, 326, 41]}, {\"cell\": \"160\", \"bbox\": [392, 31, 406, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 31, 474, 41]}, {\"cell\": \"Population density (per km2)\", \"bbox\": [1, 43, 94, 55]}, {\"cell\": \"268\", \"bbox\": [218, 45, 231, 55]}, {\"cell\": \"346\", \"bbox\": [252, 45, 265, 55]}, {\"cell\": \"835\", \"bbox\": [304, 45, 317, 55]}, {\"cell\": \"3\", \"bbox\": [392, 45, 398, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 45, 465, 55]}, {\"cell\": \"PM10: population-weighted annual average (μg.m-3)\", \"bbox\": [1, 57, 168, 69]}, {\"cell\": \"268\", \"bbox\": [218, 59, 231, 69]}, {\"cell\": \"22.3\", \"bbox\": [252, 59, 267, 69]}, {\"cell\": \"7.6\", \"bbox\": [304, 59, 315, 69]}, {\"cell\": \"2.7\", \"bbox\": [392, 59, 403, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 59, 463, 69]}, {\"cell\": \"PM10: population-weighted 36th highest daily mean (μg.m-3)\", \"bbox\": [1, 71, 197, 83]}, {\"cell\": \"268\", \"bbox\": [218, 73, 231, 83]}, {\"cell\": \"37.1\", \"bbox\": [252, 73, 267, 83]}, {\"cell\": \"13.1\", \"bbox\": [304, 73, 319, 83]}, {\"cell\": \"3.4\", \"bbox\": [392, 73, 403, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 73, 463, 83]}, {\"cell\": \"Mean household income (PPCS)\", \"bbox\": [1, 87, 106, 97]}, {\"cell\": \"235\", \"bbox\": [218, 87, 231, 97]}, {\"cell\": \"14,689\", \"bbox\": [252, 87, 274, 97]}, {\"cell\": \"5,389\", \"bbox\": [304, 87, 323, 97]}, {\"cell\": \"2,736\", \"bbox\": [392, 87, 411, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 87, 470, 97]}, {\"cell\": \"Mean smoking rate (%, country level)\", \"bbox\": [1, 101, 122, 111]}, {\"cell\": \"29\", \"bbox\": [218, 101, 228, 111]}, {\"cell\": \"32.0\", \"bbox\": [252, 101, 267, 111]}, {\"cell\": \"1.18\", \"bbox\": [304, 101, 319, 111]}, {\"cell\": \"18.6\", \"bbox\": [392, 101, 407, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 101, 463, 111]}, {\"cell\": \"Premature mortality rate (per 100,000, 2004–2006)\", \"bbox\": [1, 115, 163, 125]}, {\"cell\": \"All-cause male\", \"bbox\": [10, 129, 58, 139]}, {\"cell\": \"210\", \"bbox\": [218, 129, 231, 139]}, {\"cell\": \"305.3\", \"bbox\": [252, 129, 271, 139]}, {\"cell\": \"124.2\", \"bbox\": [304, 129, 323, 139]}, {\"cell\": \"103.2\", \"bbox\": [392, 129, 411, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 129, 467, 139]}, {\"cell\": \"All-cause female\", \"bbox\": [10, 143, 64, 153]}, {\"cell\": \"210\", \"bbox\": [218, 143, 231, 153]}, {\"cell\": \"145.6\", \"bbox\": [252, 143, 271, 153]}, {\"cell\": \"40.9\", \"bbox\": [304, 143, 319, 153]}, {\"cell\": \"78.3\", \"bbox\": [392, 143, 407, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 143, 467, 153]}, {\"cell\": \"Circulatory disease male\", \"bbox\": [10, 157, 89, 167]}, {\"cell\": \"210\", \"bbox\": [218, 157, 231, 167]}, {\"cell\": \"79.6\", \"bbox\": [252, 157, 267, 167]}, {\"cell\": \"52.7\", \"bbox\": [304, 157, 319, 167]}, {\"cell\": \"24.2\", \"bbox\": [392, 157, 407, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 157, 467, 167]}, {\"cell\": \"Circulatory disease female\", \"bbox\": [10, 171, 95, 181]}, {\"cell\": \"210\", \"bbox\": [218, 171, 231, 181]}, {\"cell\": \"27.2\", \"bbox\": [252, 171, 267, 181]}, {\"cell\": \"19.5\", \"bbox\": [304, 171, 319, 181]}, {\"cell\": \"7.8\", \"bbox\": [392, 171, 403, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 171, 467, 181]}, {\"cell\": \"Respiratory disease male\", \"bbox\": [10, 185, 90, 195]}, {\"cell\": \"210\", \"bbox\": [218, 185, 231, 195]}, {\"cell\": \"11.8\", \"bbox\": [252, 185, 267, 195]}, {\"cell\": \"7.3\", \"bbox\": [304, 185, 315, 195]}, {\"cell\": \"2.8\", \"bbox\": [392, 185, 403, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 185, 463, 195]}, {\"cell\": \"Respiratory disease female\", \"bbox\": [10, 199, 96, 209]}, {\"cell\": \"210\", \"bbox\": [218, 199, 231, 209]}, {\"cell\": \"6.0\", \"bbox\": [252, 199, 263, 209]}, {\"cell\": \"3.4\", \"bbox\": [304, 199, 315, 209]}, {\"cell\": \"1.5\", \"bbox\": [392, 199, 403, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 199, 463, 209]}, {\"cell\": \"Chronic liver disease male\", \"bbox\": [10, 213, 96, 223]}, {\"cell\": \"210\", \"bbox\": [218, 213, 231, 223]}, {\"cell\": \"16.5\", \"bbox\": [252, 213, 267, 223]}, {\"cell\": \"12.9\", \"bbox\": [304, 213, 319, 223]}, {\"cell\": \"1.8\", \"bbox\": [392, 213, 403, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 213, 463, 223]}, {\"cell\": \"Chronic liver disease female\", \"bbox\": [10, 227, 101, 237]}, {\"cell\": \"210\", \"bbox\": [218, 227, 231, 237]}, {\"cell\": \"5.9\", \"bbox\": [252, 227, 263, 237]}, {\"cell\": \"4.6\", \"bbox\": [304, 227, 315, 237]}, {\"cell\": \"0.6\", \"bbox\": [392, 227, 403, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 227, 463, 237]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3720269_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
StrainGenotypeReference
WLP 144lrr-1(tm3543)II/mIn1[mIs14 dpy-10(e128)]II; ruls32[pie-1p::GFP::H2B + unc-119(+)][EMPTY_CELL]
WLP 267cul-2(or209ts)III[EMPTY_CELL]
TG1750gtIs61 [pie-1p::GFP(lap)::orc-2 + unc-119(+)]. ltIs37 [(pAA64) pie-1p::mCherry::his-58 + unc-119(+)] IV.[EMPTY_CELL]
TG1751gtIs62 [pie-1p::GFP(lap)::cdc-6 + unc-119(+)]. ltIs37 [(pAA64) pie-1p::mCherry::his-58 + unc-119(+)] IV.[EMPTY_CELL]
WLP 592leals31 [cdc-7::TY1::EGFP::3xFLAG + unc-119(+). ltIs37 [(pAA64) pie-1p::mCherry::his-58 + unc-119(+)] IV[EMPTY_CELL]
RB1211C34G6.5(ok1267) I[EMPTY_CELL]
WLP 223cul-2(or209ts)III; C34G6.5(ok1267) I[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Strain\", \"bbox\": [7, 5, 29, 15]}, {\"cell\": \"Genotype\", \"bbox\": [202, 5, 239, 15]}, {\"cell\": \"Reference\", \"bbox\": [433, 5, 470, 15]}, {\"cell\": \"WLP 144\", \"bbox\": [1, 18, 34, 29]}, {\"cell\": \"lrr-1(tm3543)II/mIn1[mIs14 dpy-10(e128)]II; ruls32[pie-1p::GFP::H2B + unc-119(+)]\", \"bbox\": [91, 18, 338, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [407, 18, 472, 29]}, {\"cell\": \"WLP 267\", \"bbox\": [1, 38, 34, 49]}, {\"cell\": \"cul-2(or209ts)III\", \"bbox\": [91, 38, 147, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [407, 38, 473, 49]}, {\"cell\": \"TG1750\", \"bbox\": [1, 48, 31, 59]}, {\"cell\": \"gtIs61 [pie-1p::GFP(lap)::orc-2 + unc-119(+)]. ltIs37 [(pAA64) pie-1p::mCherry::his-58 + unc-119(+)] IV.\", \"bbox\": [91, 48, 335, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [407, 48, 485, 59]}, {\"cell\": \"TG1751\", \"bbox\": [1, 68, 31, 78]}, {\"cell\": \"gtIs62 [pie-1p::GFP(lap)::cdc-6 + unc-119(+)]. ltIs37 [(pAA64) pie-1p::mCherry::his-58 + unc-119(+)] IV.\", \"bbox\": [91, 68, 336, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [407, 68, 485, 78]}, {\"cell\": \"WLP 592\", \"bbox\": [1, 88, 34, 98]}, {\"cell\": \"leals31 [cdc-7::TY1::EGFP::3xFLAG + unc-119(+). ltIs37 [(pAA64) pie-1p::mCherry::his-58 + unc-119(+)] IV\", \"bbox\": [91, 88, 350, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [407, 88, 445, 98]}, {\"cell\": \"RB1211\", \"bbox\": [1, 108, 30, 118]}, {\"cell\": \"C34G6.5(ok1267) I\", \"bbox\": [91, 108, 159, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [407, 108, 496, 128]}, {\"cell\": \"WLP 223\", \"bbox\": [0, 128, 34, 138]}, {\"cell\": \"cul-2(or209ts)III; C34G6.5(ok1267) I\", \"bbox\": [91, 128, 218, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [407, 128, 445, 138]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5068962_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]At 6 monthsAt 12 monthsP-value
Treatment regimen[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Radiosurgery alone (n = 30)80[EMPTY_CELL][EMPTY_CELL]
Radiosurgery + WBI (n = 28)93[EMPTY_CELL]0.48
Radiosurgery dose[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
<20 Gy (n = 23)83[EMPTY_CELL][EMPTY_CELL]
≥20 Gy (n = 35)89[EMPTY_CELL]0.56
Age[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
≤59 years (n = 34)91[EMPTY_CELL][EMPTY_CELL]
≥60 years (n = 24)79[EMPTY_CELL]0.054
ECOG performance score[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
0-1 (n = 40)98[EMPTY_CELL][EMPTY_CELL]
2 (n = 18)61[EMPTY_CELL][EMPTY_CELL]
Number of cerebral metastases[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
1 (n = 46)83[EMPTY_CELL][EMPTY_CELL]
2-3 (n = 12)100[EMPTY_CELL]0.67
Maximum diameter of all brain metastases[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
≤10 mm (n = 28)89[EMPTY_CELL][EMPTY_CELL]
≥11 mm (n = 30)83[EMPTY_CELL]0.16
Site of brain metastases[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Supratentorial (n = 39)85[EMPTY_CELL][EMPTY_CELL]
Infratentorial ± supratentorial (n = 19)89[EMPTY_CELL]0.22
Extra-cranial metastases[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
No (n = 24)88[EMPTY_CELL][EMPTY_CELL]
Yes (n = 34)85[EMPTY_CELL]0.38
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"At 6 months\", \"bbox\": [104, 4, 150, 13]}, {\"cell\": \"At 12 months\", \"bbox\": [154, 4, 204, 13]}, {\"cell\": \"P-value\", \"bbox\": [208, 4, 236, 13]}, {\"cell\": \"Treatment regimen\", \"bbox\": [1, 17, 70, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Radiosurgery alone (n = 30)\", \"bbox\": [10, 31, 99, 41]}, {\"cell\": \"80\", \"bbox\": [104, 31, 114, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 31, 164, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Radiosurgery + WBI (n = 28)\", \"bbox\": [10, 45, 100, 55]}, {\"cell\": \"93\", \"bbox\": [104, 45, 114, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 45, 164, 55]}, {\"cell\": \"0.48\", \"bbox\": [208, 45, 223, 55]}, {\"cell\": \"Radiosurgery dose\", \"bbox\": [1, 59, 67, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<20 Gy (n = 23)\", \"bbox\": [10, 73, 62, 83]}, {\"cell\": \"83\", \"bbox\": [104, 73, 114, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 73, 164, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"≥20 Gy (n = 35)\", \"bbox\": [10, 87, 62, 97]}, {\"cell\": \"89\", \"bbox\": [104, 87, 114, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 87, 164, 97]}, {\"cell\": \"0.56\", \"bbox\": [208, 87, 223, 97]}, {\"cell\": \"Age\", \"bbox\": [1, 101, 16, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"≤59 years (n = 34)\", \"bbox\": [10, 115, 70, 125]}, {\"cell\": \"91\", \"bbox\": [104, 115, 114, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 115, 164, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"≥60 years (n = 24)\", \"bbox\": [10, 129, 70, 139]}, {\"cell\": \"79\", \"bbox\": [104, 129, 114, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 129, 164, 139]}, {\"cell\": \"0.054\", \"bbox\": [208, 129, 227, 139]}, {\"cell\": \"ECOG performance score\", \"bbox\": [1, 143, 89, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0-1 (n = 40)\", \"bbox\": [10, 157, 48, 167]}, {\"cell\": \"98\", \"bbox\": [104, 157, 114, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 157, 164, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2 (n = 18)\", \"bbox\": [10, 171, 42, 181]}, {\"cell\": \"61\", \"bbox\": [104, 171, 114, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 171, 164, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 171, 234, 181]}, {\"cell\": \"Number of cerebral metastases\", \"bbox\": [1, 185, 70, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1 (n = 46)\", \"bbox\": [10, 208, 42, 218]}, {\"cell\": \"83\", \"bbox\": [104, 208, 114, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 208, 164, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2-3 (n = 12)\", \"bbox\": [10, 222, 48, 232]}, {\"cell\": \"100\", \"bbox\": [104, 222, 118, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 222, 164, 232]}, {\"cell\": \"0.67\", \"bbox\": [208, 222, 223, 232]}, {\"cell\": \"Maximum diameter of all brain metastases\", \"bbox\": [1, 236, 90, 255]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"≤10 mm (n = 28)\", \"bbox\": [10, 259, 67, 269]}, {\"cell\": \"89\", \"bbox\": [104, 259, 114, 269]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 259, 164, 269]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"≥11 mm (n = 30)\", \"bbox\": [10, 273, 67, 283]}, {\"cell\": \"83\", \"bbox\": [104, 273, 114, 283]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 273, 164, 283]}, {\"cell\": \"0.16\", \"bbox\": [208, 273, 223, 283]}, {\"cell\": \"Site of brain metastases\", \"bbox\": [1, 287, 86, 297]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Supratentorial (n = 39)\", \"bbox\": [10, 301, 83, 311]}, {\"cell\": \"85\", \"bbox\": [104, 301, 114, 311]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 301, 164, 311]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Infratentorial ± supratentorial (n = 19)\", \"bbox\": [1, 315, 72, 334]}, {\"cell\": \"89\", \"bbox\": [104, 315, 114, 325]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 315, 164, 325]}, {\"cell\": \"0.22\", \"bbox\": [208, 315, 223, 325]}, {\"cell\": \"Extra-cranial metastases\", \"bbox\": [1, 338, 86, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No (n = 24)\", \"bbox\": [10, 352, 48, 362]}, {\"cell\": \"88\", \"bbox\": [104, 352, 114, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 352, 164, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Yes (n = 34)\", \"bbox\": [10, 366, 49, 376]}, {\"cell\": \"85\", \"bbox\": [104, 366, 114, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 366, 164, 376]}, {\"cell\": \"0.38\", \"bbox\": [208, 366, 223, 376]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4265339_004_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Variable9 μg vs. Placebo (p-value)4.5 μg vs. Placebo (p-value)9 μg vs. 4.5 μg(p-value)
[EMPTY_CELL]1.11 (< 0.001)1.11 (< 0.001)1.01 (0.643)
[EMPTY_CELL]1.04 (0.002)1.04 (0.002)1.00 (0.955)
[EMPTY_CELL]1.09 (< 0.001)1.09 (< 0.001)1.00 (0.984)
[EMPTY_CELL]1.07 (< 0.001)1.07 (< 0.001)0.99 (0.642)
[EMPTY_CELL]1.02 (0.135)1.03 (0.026)0.99 (0.483)
[EMPTY_CELL]1.07 (< 0.001)1.07 (< 0.001)1.00 (0.982)
[EMPTY_CELL]15.30 (< 0.001)12.86 (< 0.001)2.45 (0.360)
[EMPTY_CELL]13.78 (< 0.001)10.85 (< 0.001)2.93 (0.260)
[EMPTY_CELL]-0.09 (0.038)-0.10 (0.020)0.01 (0.816)
[EMPTY_CELL]-0.17 (0.002)-0.18 (0.001)0.01 (0.822)
[EMPTY_CELL]-0.13 (0.013)-0.12 (0.023)-0.01 (0.809)
[EMPTY_CELL]-0.41 (0.001)-0.62 (0.001)-0.25 (0.883)
[EMPTY_CELL]-0.55 (< 0.001)-0.27 (0.027)-0.27 (0.029)
[EMPTY_CELL]-4.45 (0.001)-3.74 (0.001)-0.71 (0.553)
\", \"cells\": [{\"cell\": \"Variable\", \"bbox\": [1, 4, 31, 13]}, {\"cell\": \"9 μg vs. Placebo (p-value)\", \"bbox\": [160, 4, 252, 13]}, {\"cell\": \"4.5 μg vs. Placebo (p-value)\", \"bbox\": [285, 4, 383, 13]}, {\"cell\": \"9 μg vs. 4.5 μg(p-value)\", \"bbox\": [416, 4, 470, 22]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 26, 83, 36]}, {\"cell\": \"1.11 (< 0.001)\", \"bbox\": [183, 26, 229, 36]}, {\"cell\": \"1.11 (< 0.001)\", \"bbox\": [311, 26, 357, 36]}, {\"cell\": \"1.01 (0.643)\", \"bbox\": [424, 26, 462, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 38, 54, 48]}, {\"cell\": \"1.04 (0.002)\", \"bbox\": [187, 38, 225, 48]}, {\"cell\": \"1.04 (0.002)\", \"bbox\": [315, 38, 353, 48]}, {\"cell\": \"1.00 (0.955)\", \"bbox\": [424, 38, 462, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 50, 79, 60]}, {\"cell\": \"1.09 (< 0.001)\", \"bbox\": [183, 50, 229, 60]}, {\"cell\": \"1.09 (< 0.001)\", \"bbox\": [311, 50, 357, 60]}, {\"cell\": \"1.00 (0.984)\", \"bbox\": [424, 50, 462, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 62, 81, 72]}, {\"cell\": \"1.07 (< 0.001)\", \"bbox\": [183, 62, 229, 72]}, {\"cell\": \"1.07 (< 0.001)\", \"bbox\": [311, 62, 357, 72]}, {\"cell\": \"0.99 (0.642)\", \"bbox\": [424, 62, 462, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 74, 52, 83]}, {\"cell\": \"1.02 (0.135)\", \"bbox\": [187, 74, 225, 83]}, {\"cell\": \"1.03 (0.026)\", \"bbox\": [315, 74, 353, 83]}, {\"cell\": \"0.99 (0.483)\", \"bbox\": [424, 74, 462, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 86, 77, 95]}, {\"cell\": \"1.07 (< 0.001)\", \"bbox\": [183, 86, 229, 95]}, {\"cell\": \"1.07 (< 0.001)\", \"bbox\": [311, 86, 357, 95]}, {\"cell\": \"1.00 (0.982)\", \"bbox\": [424, 86, 462, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 98, 66, 107]}, {\"cell\": \"15.30 (< 0.001)\", \"bbox\": [181, 98, 231, 107]}, {\"cell\": \"12.86 (< 0.001)\", \"bbox\": [309, 98, 359, 107]}, {\"cell\": \"2.45 (0.360)\", \"bbox\": [424, 98, 462, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 110, 64, 119]}, {\"cell\": \"13.78 (< 0.001)\", \"bbox\": [181, 110, 231, 119]}, {\"cell\": \"10.85 (< 0.001)\", \"bbox\": [309, 110, 359, 119]}, {\"cell\": \"2.93 (0.260)\", \"bbox\": [424, 110, 462, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 122, 109, 131]}, {\"cell\": \"-0.09 (0.038)\", \"bbox\": [186, 122, 226, 131]}, {\"cell\": \"-0.10 (0.020)\", \"bbox\": [314, 122, 354, 131]}, {\"cell\": \"0.01 (0.816)\", \"bbox\": [424, 122, 462, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 134, 83, 143]}, {\"cell\": \"-0.17 (0.002)\", \"bbox\": [186, 134, 226, 143]}, {\"cell\": \"-0.18 (0.001)\", \"bbox\": [314, 134, 354, 143]}, {\"cell\": \"0.01 (0.822)\", \"bbox\": [424, 134, 462, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 146, 59, 155]}, {\"cell\": \"-0.13 (0.013)\", \"bbox\": [186, 146, 226, 155]}, {\"cell\": \"-0.12 (0.023)\", \"bbox\": [314, 146, 354, 155]}, {\"cell\": \"-0.01 (0.809)\", \"bbox\": [423, 146, 463, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 158, 70, 167]}, {\"cell\": \"-0.41 (0.001)\", \"bbox\": [186, 158, 226, 167]}, {\"cell\": \"-0.62 (0.001)\", \"bbox\": [314, 158, 354, 167]}, {\"cell\": \"-0.25 (0.883)\", \"bbox\": [423, 158, 463, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 170, 113, 179]}, {\"cell\": \"-0.55 (< 0.001)\", \"bbox\": [182, 170, 230, 179]}, {\"cell\": \"-0.27 (0.027)\", \"bbox\": [314, 170, 354, 179]}, {\"cell\": \"-0.27 (0.029)\", \"bbox\": [423, 170, 463, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 182, 57, 191]}, {\"cell\": \"-4.45 (0.001)\", \"bbox\": [186, 182, 226, 191]}, {\"cell\": \"-3.74 (0.001)\", \"bbox\": [314, 182, 354, 191]}, {\"cell\": \"-0.71 (0.553)\", \"bbox\": [423, 182, 463, 191]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3233513_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Smoking status
[EMPTY_CELL]NoYes
SNPAdjusted OR (95% CI)*Adjusted OR (95% CI)*
rs1800925[EMPTY_CELL][EMPTY_CELL]
CC + CT[EMPTY_CELL]0.98 (0.74 - 1.31)
TT[EMPTY_CELL]2.67 (0.70 - 10.17)
Measures of additive interaction†
Relative excess risk due to interaction (RERI) = 1.90 (95% CI: -1.71 - 5.52)
Attributable proportion due to interaction (AP) = 0.71 (95% CI: 0.25 - 1.18)
Synergy index (S) = -6.97 (95% CI: not calculable)
rs20541[EMPTY_CELL][EMPTY_CELL]
GG + GA[EMPTY_CELL]0.96 (0.71 - 1.29)
AA[EMPTY_CELL]2.34 (1.10 - 4.98)
Measures of additive interaction†
Relative excess risk due to interaction (RERI) = 1.05 (95% CI: -0.82 - 2.91)
Attributable proportion due to interaction (AP) = 0.45 (95% CI: -0.07 - 0.96)
Synergy index (S) = 4.52 (95% CI: 0.25 - 83.47)
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Smoking status\", \"bbox\": [285, 4, 340, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No\", \"bbox\": [219, 17, 231, 27]}, {\"cell\": \"Yes\", \"bbox\": [392, 17, 406, 27]}, {\"cell\": \"SNP\", \"bbox\": [1, 30, 16, 40]}, {\"cell\": \"Adjusted OR (95% CI)*\", \"bbox\": [140, 30, 221, 40]}, {\"cell\": \"Adjusted OR (95% CI)*\", \"bbox\": [314, 30, 395, 40]}, {\"cell\": \"rs1800925\", \"bbox\": [1, 44, 34, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" CC + CT\", \"bbox\": [15, 56, 45, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [140, 56, 155, 65]}, {\"cell\": \"0.98 (0.74 - 1.31)\", \"bbox\": [314, 56, 369, 65]}, {\"cell\": \" TT\", \"bbox\": [15, 67, 25, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [140, 67, 195, 77]}, {\"cell\": \"2.67 (0.70 - 10.17)\", \"bbox\": [314, 67, 373, 77]}, {\"cell\": \" Measures of additive interaction†\", \"bbox\": [15, 78, 123, 89]}, {\"cell\": \"Relative excess risk due to interaction (RERI) = 1.90 (95% CI: -1.71 - 5.52)\", \"bbox\": [30, 91, 265, 101]}, {\"cell\": \"Attributable proportion due to interaction (AP) = 0.71 (95% CI: 0.25 - 1.18)\", \"bbox\": [30, 103, 272, 113]}, {\"cell\": \"Synergy index (S) = -6.97 (95% CI: not calculable)\", \"bbox\": [30, 115, 191, 125]}, {\"cell\": \"rs20541\", \"bbox\": [0, 127, 27, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" GG + GA\", \"bbox\": [15, 139, 47, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [140, 139, 155, 149]}, {\"cell\": \"0.96 (0.71 - 1.29)\", \"bbox\": [314, 139, 369, 149]}, {\"cell\": \" AA\", \"bbox\": [15, 151, 27, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [140, 151, 195, 161]}, {\"cell\": \"2.34 (1.10 - 4.98)\", \"bbox\": [314, 151, 369, 161]}, {\"cell\": \" Measures of additive interaction†\", \"bbox\": [15, 162, 123, 173]}, {\"cell\": \"Relative excess risk due to interaction (RERI) = 1.05 (95% CI: -0.82 - 2.91)\", \"bbox\": [30, 175, 265, 185]}, {\"cell\": \"Attributable proportion due to interaction (AP) = 0.45 (95% CI: -0.07 - 0.96)\", \"bbox\": [30, 187, 274, 197]}, {\"cell\": \"Synergy index (S) = 4.52 (95% CI: 0.25 - 83.47)\", \"bbox\": [30, 199, 181, 209]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3214177_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL][EMPTY_CELL]Without CoreferenceWith Coreference
[EMPTY_CELL][EMPTY_CELL]TPFPFNPRFTPFPFNPRF
Pers. pronounT34458943.027.633.7[EMPTY_CELL]436856.144.749.8
Fs244433.34.47.76[EMPTY_CELL]4042.913.020.0
F245833.33.36.16[EMPTY_CELL]5437.510.015.8
Rs25225453.231.739.744[EMPTY_CELL]3564.755.759.9
R546749.86.37.716[EMPTY_CELL]6325.820.322.7
S248774.02.53.15[EMPTY_CELL]748.36.37.2
Poss. pronounT827412552.639.645.2[EMPTY_CELL]7410757.548.352.5
Fs20127562.521.131.523[EMPTY_CELL]7271.924.236.2
F132411635.110.115.717[EMPTY_CELL]11248.613.220.7
Rs76337469.750.758.789[EMPTY_CELL]6174.259.365.9
R278112325.018.020.934[EMPTY_CELL]11630.122.725.9
S138513713.38.710.512[EMPTY_CELL]13812.18.09.6
Def. NPT27224555.137.544.6[EMPTY_CELL]263658.150.053.7
Fs932275.029.041.911[EMPTY_CELL]2078.635.548.9
F4103828.69.514.310[EMPTY_CELL]3266.723.835.1
Rs2652383.953.165.030[EMPTY_CELL]1975.061.267.4
R10203933.320.425.316[EMPTY_CELL]3338.132.735.2
S3234611.56.18.07[EMPTY_CELL]4219.414.316.5
ALLT14114025550.235.641.7[EMPTY_CELL]14320856.847.551.7
Fs301813962.517.827.739[EMPTY_CELL]13067.223.134.4
F183720932.77.912.832[EMPTY_CELL]19550.014.122.0
Rs1266014767.746.254.9162[EMPTY_CELL]11171.459.364.8
R4214623122.315.418.265[EMPTY_CELL]20830.123.826.6
S1815525510.46.68.123[EMPTY_CELL]25011.98.49.9
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Without Coreference\", \"bbox\": [154, 7, 228, 17]}, {\"cell\": \"With Coreference\", \"bbox\": [364, 7, 426, 17]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TP\", \"bbox\": [97, 26, 109, 36]}, {\"cell\": \"FP\", \"bbox\": [130, 26, 141, 36]}, {\"cell\": \"FN\", \"bbox\": [163, 26, 176, 36]}, {\"cell\": \"P\", \"bbox\": [196, 26, 203, 36]}, {\"cell\": \"R\", \"bbox\": [231, 26, 239, 36]}, {\"cell\": \"F\", \"bbox\": [267, 26, 273, 36]}, {\"cell\": \"TP\", \"bbox\": [302, 26, 314, 36]}, {\"cell\": \"FP\", \"bbox\": [335, 26, 346, 36]}, {\"cell\": \"FN\", \"bbox\": [368, 26, 381, 36]}, {\"cell\": \"P\", \"bbox\": [401, 26, 407, 36]}, {\"cell\": \"R\", \"bbox\": [436, 26, 444, 36]}, {\"cell\": \"F\", \"bbox\": [471, 26, 477, 36]}, {\"cell\": \"Pers. pronoun\", \"bbox\": [1, 45, 50, 55]}, {\"cell\": \"T\", \"bbox\": 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214, 319]}, {\"cell\": \"6.6\", \"bbox\": [236, 309, 249, 319]}, {\"cell\": \"8.1\", \"bbox\": [271, 309, 284, 319]}, {\"cell\": \"23\", \"bbox\": [306, 309, 317, 319]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 309, 350, 319]}, {\"cell\": \"250\", \"bbox\": [368, 309, 383, 319]}, {\"cell\": \"11.9\", \"bbox\": [401, 309, 418, 319]}, {\"cell\": \"8.4\", \"bbox\": [440, 309, 453, 319]}, {\"cell\": \"9.9\", \"bbox\": [475, 310, 488, 317]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4930833_009_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
ItemsAnswersExperts’ opinionWeighting
IdealNot idealTotal [A]CVWeighted Factor [B]
[EMPTY_CELL]YesNo38.00.5470.076
[EMPTY_CELL]YesNo31.00.4470.062
[EMPTY_CELL]YesNo36.00.4320.072
[EMPTY_CELL]YesNo34.00.3510.068
[EMPTY_CELL]YesNo29.00.4460.058
[EMPTY_CELL]Each time it is uploadedOther17.00.6750.034
[EMPTY_CELL]YesNo38.00.7990.076
[EMPTY_CELL]YesNo41.00.2640.082
[EMPTY_CELL]Each time it is uploadedOther21.00.5470.042
[EMPTY_CELL]YesNo39.00.2460.078
[EMPTY_CELL]Each time it is uploadedOther16.00.9780.032
[EMPTY_CELL]<5 hOther42.00.2460.084
[EMPTY_CELL]In a cooled box, in the shadeOther35.00.3350.070
[EMPTY_CELL]YesNo23.00.69740.046
[EMPTY_CELL]YesNo7.00.7190.014
[EMPTY_CELL]LSEsOther10.00.6920.020
[EMPTY_CELL]n vaccinated females and doses usedOther32.00.4220.064
[EMPTY_CELL]YesNo11.00.9560.022
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\"bbox\": [363, 239, 374, 249]}, {\"cell\": \"23.0\", \"bbox\": [389, 239, 404, 249]}, {\"cell\": \"0.6974\", \"bbox\": [417, 239, 439, 249]}, {\"cell\": \"0.046\", \"bbox\": [449, 239, 468, 249]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 253, 217, 263]}, {\"cell\": \"Yes\", \"bbox\": [235, 253, 248, 263]}, {\"cell\": \"No\", \"bbox\": [363, 253, 374, 263]}, {\"cell\": \"7.0\", \"bbox\": [389, 253, 400, 263]}, {\"cell\": \"0.719\", \"bbox\": [417, 253, 435, 263]}, {\"cell\": \"0.014\", \"bbox\": [449, 253, 468, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 267, 200, 277]}, {\"cell\": \"LSEs\", \"bbox\": [235, 267, 251, 277]}, {\"cell\": \"Other\", \"bbox\": [363, 267, 383, 277]}, {\"cell\": \"10.0\", \"bbox\": [389, 267, 404, 277]}, {\"cell\": \"0.692\", \"bbox\": [417, 267, 435, 277]}, {\"cell\": \"0.020\", \"bbox\": [449, 267, 468, 277]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 281, 210, 291]}, {\"cell\": \"n vaccinated females and doses used\", \"bbox\": [235, 281, 358, 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Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
SubscaleMinimumMaximumMeanSDSkewnessKurtosis
Living conditions and lifestyle (7 items)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Raw and unscaled735[EMPTY_CELL]5.24−0.733.56
Rescaled but unweighted for importance0100[EMPTY_CELL]18.740.733.56
Rescaled and weighted for importance0100[EMPTY_CELL]16.460.162.84
Social relationships (5 items)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Raw and unscaled525[EMPTY_CELL]3.66−1.165.11
Rescaled but unweighted for importance0100[EMPTY_CELL]18.31−1.165.11
Rescaled and weighted for importance0100[EMPTY_CELL]15.92−0.173.56
Personal independence (5 items)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Raw and unscaled525[EMPTY_CELL]4.37−0.292.59
Rescaled but unweighted for importance0100[EMPTY_CELL]21.86−0.292.59
Rescaled and weighted for importance0100[EMPTY_CELL]17.95−0.022.96
\", \"cells\": [{\"cell\": \"Subscale\", \"bbox\": [1, 8, 35, 18]}, {\"cell\": \"Minimum\", \"bbox\": [181, 8, 216, 18]}, {\"cell\": \"Maximum\", \"bbox\": [240, 8, 277, 18]}, {\"cell\": \"Mean\", \"bbox\": [301, 8, 323, 18]}, {\"cell\": \"SD\", \"bbox\": [352, 8, 365, 18]}, {\"cell\": \"Skewness\", \"bbox\": [393, 8, 431, 18]}, {\"cell\": \"Kurtosis\", \"bbox\": [456, 8, 487, 18]}, {\"cell\": \"Living conditions and lifestyle (7 items)\", \"bbox\": [1, 28, 142, 37]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Raw and unscaled\", \"bbox\": [8, 39, 77, 49]}, {\"cell\": \"7\", \"bbox\": [195, 39, 202, 49]}, {\"cell\": \"35\", \"bbox\": [256, 39, 266, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 39, 323, 49]}, {\"cell\": \"5.24\", \"bbox\": [352, 39, 369, 49]}, {\"cell\": \"−0.73\", \"bbox\": [400, 39, 425, 49]}, {\"cell\": \"3.56\", \"bbox\": [462, 39, 480, 49]}, {\"cell\": \" Rescaled but unweighted for importance\", \"bbox\": [8, 51, 157, 61]}, {\"cell\": \"0\", \"bbox\": [195, 51, 202, 61]}, {\"cell\": \"100\", \"bbox\": [251, 51, 266, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 51, 323, 61]}, {\"cell\": \"18.74\", \"bbox\": [347, 51, 369, 61]}, {\"cell\": \"0.73\", \"bbox\": [408, 51, 425, 61]}, {\"cell\": \"3.56\", \"bbox\": [462, 51, 480, 61]}, {\"cell\": \" Rescaled and weighted for importance\", \"bbox\": [8, 63, 150, 73]}, {\"cell\": \"0\", \"bbox\": [195, 63, 202, 73]}, {\"cell\": \"100\", \"bbox\": [251, 63, 266, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 63, 323, 73]}, {\"cell\": \"16.46\", \"bbox\": [347, 63, 369, 73]}, {\"cell\": \"0.16\", \"bbox\": [408, 63, 425, 73]}, {\"cell\": \"2.84\", \"bbox\": [462, 63, 480, 73]}, {\"cell\": \"Social relationships (5 items)\", \"bbox\": [1, 75, 105, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Raw and unscaled\", \"bbox\": [8, 87, 77, 97]}, {\"cell\": \"5\", \"bbox\": [195, 87, 202, 97]}, {\"cell\": \"25\", \"bbox\": [256, 87, 266, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 87, 323, 97]}, {\"cell\": \"3.66\", \"bbox\": [352, 87, 369, 97]}, {\"cell\": \"−1.16\", \"bbox\": [400, 87, 425, 97]}, {\"cell\": \"5.11\", \"bbox\": [462, 87, 480, 97]}, {\"cell\": \" Rescaled but unweighted for importance\", \"bbox\": [8, 99, 157, 109]}, {\"cell\": \"0\", \"bbox\": [195, 99, 202, 109]}, {\"cell\": \"100\", \"bbox\": [251, 99, 266, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 99, 323, 109]}, {\"cell\": \"18.31\", \"bbox\": [347, 99, 369, 109]}, {\"cell\": \"−1.16\", \"bbox\": [400, 99, 425, 109]}, {\"cell\": \"5.11\", \"bbox\": [462, 99, 480, 109]}, {\"cell\": \" Rescaled and weighted for importance\", \"bbox\": [8, 111, 150, 121]}, {\"cell\": \"0\", \"bbox\": [195, 111, 202, 121]}, {\"cell\": \"100\", \"bbox\": [251, 111, 266, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 111, 323, 121]}, {\"cell\": \"15.92\", \"bbox\": [347, 111, 369, 121]}, {\"cell\": \"−0.17\", \"bbox\": [400, 111, 425, 121]}, {\"cell\": \"3.56\", \"bbox\": [462, 111, 480, 121]}, {\"cell\": \"Personal independence (5 items)\", \"bbox\": [1, 123, 120, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Raw and unscaled\", \"bbox\": [8, 135, 77, 145]}, {\"cell\": \"5\", \"bbox\": [195, 135, 202, 145]}, {\"cell\": \"25\", \"bbox\": [256, 135, 266, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 135, 323, 145]}, {\"cell\": \"4.37\", \"bbox\": [352, 135, 369, 145]}, {\"cell\": \"−0.29\", \"bbox\": [400, 135, 425, 145]}, {\"cell\": \"2.59\", \"bbox\": [462, 135, 480, 145]}, {\"cell\": \" Rescaled but unweighted for importance\", \"bbox\": [8, 147, 157, 157]}, {\"cell\": \"0\", \"bbox\": [195, 147, 202, 157]}, {\"cell\": \"100\", \"bbox\": [251, 147, 266, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 147, 323, 157]}, {\"cell\": \"21.86\", \"bbox\": [347, 147, 369, 157]}, {\"cell\": \"−0.29\", \"bbox\": [400, 147, 425, 157]}, {\"cell\": \"2.59\", \"bbox\": [462, 147, 480, 157]}, {\"cell\": \" Rescaled and weighted for importance\", \"bbox\": [8, 159, 150, 169]}, {\"cell\": \"0\", \"bbox\": [195, 159, 202, 169]}, {\"cell\": \"100\", \"bbox\": [251, 159, 266, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 159, 323, 169]}, {\"cell\": \"17.95\", \"bbox\": [347, 159, 369, 169]}, {\"cell\": \"−0.02\", \"bbox\": [400, 159, 425, 169]}, {\"cell\": \"2.96\", \"bbox\": [462, 159, 480, 169]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4947833_009_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
ConceptDefinition
[EMPTY_CELL]The underlying motivation for the changes under review, and tend to answer the question ‘why is this intervention taking place?’ The drivers and outcomes are important, and tend to form the ‘anchors’ for the logic model. Drivers and outcomes should be closely related.
[EMPTY_CELL]The physical, material, organization and/or social environment in which the change is taking place. These become the enabling/disabling environments for the change to take place.
[EMPTY_CELL]Mechanisms are a complex idea to distill on their own. Instead, we extracted the barriers and facilitators to change. Often (but not always) the barriers and facilitators are the opposite of each other, and when written as a positive statement, they become the mechanisms to support change.
[EMPTY_CELL]The outputs as the material or measurable products of undertaking the process or project under investigation. They tend to be tangible, countable, and relatively uncontentious products of the research and they are often the clearly codifiable components of the process.
[EMPTY_CELL]Outcomes are the changes resulting from the intervention, and should be closely related to the drivers. Outcomes often require a formal process of evaluation/research to capture in a meaningful way.
\", \"cells\": [{\"cell\": \"Concept\", \"bbox\": [1, 4, 31, 13]}, {\"cell\": \"Definition\", \"bbox\": [63, 4, 99, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 24, 27]}, {\"cell\": \"The underlying motivation for the changes under review, and tend to answer the question ‘why is this intervention taking place?’ The drivers and outcomes are important, and tend to form the ‘anchors’ for the logic model. Drivers and outcomes should be closely related.\", \"bbox\": [63, 17, 482, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 49, 30, 59]}, {\"cell\": \"The physical, material, organization and/or social environment in which the change is taking place. These become the enabling/disabling environments for the change to take place.\", \"bbox\": [63, 49, 477, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 72, 42, 82]}, {\"cell\": \"Mechanisms are a complex idea to distill on their own. Instead, we extracted the barriers and facilitators to change. Often (but not always) the barriers and facilitators are the opposite of each other, and when written as a positive statement, they become the mechanisms to support change.\", \"bbox\": [63, 72, 484, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 104, 28, 114]}, {\"cell\": \"The outputs as the material or measurable products of undertaking the process or project under investigation. They tend to be tangible, countable, and relatively uncontentious products of the research and they are often the clearly codifiable components of the process.\", \"bbox\": [63, 104, 476, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 136, 35, 146]}, {\"cell\": \"Outcomes are the changes resulting from the intervention, and should be closely related to the drivers. Outcomes often require a formal process of evaluation/research to capture in a meaningful way.\", \"bbox\": [63, 136, 477, 155]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3895764_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
SourcePopulationDescriptionn2Reference
[EMPTY_CELL]BSOSoutheastern Bantu-speakers from the Soweto region94[EMPTY_CELL]
[EMPTY_CELL]CEUUtah residents of European ancestry1021000 Genomes Project (http://ftp.1000genomes.ebi.ac.uk/vol1/ftp/technical/working/20120131_omni_genotypes_and_intensities)
[EMPTY_CELL]Han Chinese in Beijing, China67
[EMPTY_CELL]Japanese in Tokyo, Japan64
[EMPTY_CELL]Gujarati Indians from Houston, Texas98
[EMPTY_CELL]Yoruba in Ibadan, Nigeria161
[EMPTY_CELL]Luhya in Webuye, Kenya99
[EMPTY_CELL]Maasai in Kinyawa, Kenya30
[EMPTY_CELL]KARKarretjie in South Africa19Schlebusch et al. 2012
[EMPTY_CELL]Khomani in South Africa38
[EMPTY_CELL]Nama in Namibia20
[EMPTY_CELL]Southeastern Bantu-speakers20
\", \"cells\": [{\"cell\": \"Source\", \"bbox\": [1, 4, 26, 13]}, {\"cell\": \"Population\", \"bbox\": [74, 4, 114, 13]}, {\"cell\": \"Description\", \"bbox\": [118, 4, 160, 13]}, {\"cell\": \"n2\", \"bbox\": [259, 2, 268, 13]}, {\"cell\": \"Reference\", \"bbox\": [276, 4, 312, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 46, 27]}, {\"cell\": \"BSO\", \"bbox\": [74, 17, 89, 27]}, {\"cell\": \"Southeastern Bantu-speakers from the Soweto region\", \"bbox\": [118, 17, 242, 36]}, {\"cell\": \"94\", \"bbox\": [259, 17, 268, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 40, 51, 59]}, {\"cell\": \"CEU\", \"bbox\": [74, 40, 89, 50]}, {\"cell\": \"Utah residents of European ancestry\", \"bbox\": [118, 40, 236, 50]}, {\"cell\": \"102\", \"bbox\": [259, 40, 272, 50]}, {\"cell\": \"1000 Genomes Project (http://ftp.1000genomes.ebi.ac.uk/vol1/ftp/technical/working/20120131_omni_genotypes_and_intensities)\", \"bbox\": [276, 40, 484, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [74, 54, 90, 64]}, {\"cell\": \"Han Chinese in Beijing, China\", \"bbox\": [118, 54, 214, 64]}, {\"cell\": \"67\", \"bbox\": [259, 54, 268, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [74, 68, 87, 78]}, {\"cell\": \"Japanese in Tokyo, Japan\", \"bbox\": [118, 68, 201, 78]}, {\"cell\": \"64\", \"bbox\": [259, 68, 268, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [74, 82, 88, 92]}, {\"cell\": \"Gujarati Indians from Houston, Texas\", \"bbox\": [118, 82, 237, 92]}, {\"cell\": \"98\", \"bbox\": [259, 82, 268, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [74, 96, 86, 106]}, {\"cell\": \"Yoruba in Ibadan, Nigeria\", \"bbox\": [118, 96, 201, 106]}, {\"cell\": \"161\", \"bbox\": [259, 96, 272, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [74, 110, 90, 120]}, {\"cell\": \"Luhya in Webuye, Kenya\", \"bbox\": [118, 110, 199, 120]}, {\"cell\": \"99\", \"bbox\": [259, 110, 268, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [74, 124, 90, 134]}, {\"cell\": \"Maasai in Kinyawa, Kenya\", \"bbox\": [118, 124, 201, 134]}, {\"cell\": \"30\", \"bbox\": [259, 124, 268, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 138, 53, 157]}, {\"cell\": \"KAR\", \"bbox\": [74, 138, 89, 148]}, {\"cell\": \"Karretjie in South Africa\", \"bbox\": [118, 138, 195, 148]}, {\"cell\": \"19\", \"bbox\": [259, 138, 268, 148]}, {\"cell\": \"Schlebusch et al. 2012\", \"bbox\": [276, 138, 349, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [74, 152, 91, 162]}, {\"cell\": \"Khomani in South Africa\", \"bbox\": [118, 152, 198, 162]}, {\"cell\": \"38\", \"bbox\": [259, 152, 268, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [74, 166, 92, 176]}, {\"cell\": \"Nama in Namibia\", \"bbox\": [118, 166, 176, 176]}, {\"cell\": \"20\", \"bbox\": [259, 166, 268, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [74, 180, 88, 190]}, {\"cell\": \"Southeastern Bantu-speakers\", \"bbox\": [118, 180, 212, 190]}, {\"cell\": \"20\", \"bbox\": [259, 180, 268, 190]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3850641_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Risk factors*All patientsAge range (years)Gender
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]20-3940-60>60MaleFemale
[EMPTY_CELL]N (%)194 (100)N (%)13 (6.7)N (%)36 (18.6)N (%)81 (41.8)N (%)64 (33)N (%)126 (65)N (%)68 (35.1)
[EMPTY_CELL]98 (50.5)1 (7.7)6 (16.7)52 (64.2)39 (60.9)78 (61.9)20 (29.4)
[EMPTY_CELL]126 (65)1 (7.7)14 (38.9)56 (69.1)55 (86)94 (74.6)32 (47.1)
[EMPTY_CELL]15 (7.7)4 (30.8)3 (8.3)6 (7.4)2 (3.1)6 (4.8)9 (13.2)
[EMPTY_CELL]18 (9.3)1 (7.7)5 (13.9)7 (8.6)5 (7.8)7 (5.6)8 (11.8)
[EMPTY_CELL]11 (5.7)1 (7.7)3 (8.3)5 (6.2)2 (3.1)5 (4)6 (8.8)
[EMPTY_CELL]4 (2)0 (0)4 (11.1)0 (0)0 (0)0 (0)4 (5.9)
[EMPTY_CELL]2 (1)0 (0)2 (5.6)0 (0)0 (0)1 (0.8)1 (1.5)
[EMPTY_CELL]18 (9.3)6 (46.2)8 (22.2)3 (3.7)1 (1.6)7 (5.6)11 (16.2)
\", \"cells\": [{\"cell\": \"Risk factors*\", \"bbox\": [1, 4, 46, 13]}, {\"cell\": \"All patients\", \"bbox\": [174, 4, 215, 13]}, {\"cell\": \"Age range (years)\", \"bbox\": [278, 4, 341, 13]}, {\"cell\": \"Gender\", \"bbox\": [428, 4, 455, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 17, 250, 27]}, {\"cell\": \"20-39\", \"bbox\": [275, 17, 297, 27]}, {\"cell\": \"40-60\", \"bbox\": [321, 17, 342, 27]}, {\"cell\": \">60\", \"bbox\": [368, 17, 383, 27]}, {\"cell\": \"Male\", \"bbox\": [410, 17, 428, 27]}, {\"cell\": \"Female\", \"bbox\": [450, 17, 477, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"N (%)194 (100)\", \"bbox\": [177, 30, 212, 49]}, {\"cell\": \"N (%)13 (6.7)\", \"bbox\": [229, 30, 257, 49]}, {\"cell\": \"N (%)36 (18.6)\", \"bbox\": [270, 30, 302, 49]}, {\"cell\": \"N (%)81 (41.8)\", \"bbox\": [315, 30, 348, 49]}, {\"cell\": \"N (%)64 (33)\", \"bbox\": [363, 30, 389, 49]}, {\"cell\": \"N (%)126 (65)\", \"bbox\": [404, 30, 434, 49]}, {\"cell\": \"N (%)68 (35.1)\", \"bbox\": [447, 30, 480, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 53, 32, 62]}, {\"cell\": \"98 (50.5)\", \"bbox\": [180, 53, 209, 61]}, {\"cell\": \"1 (7.7)\", \"bbox\": [232, 53, 253, 61]}, {\"cell\": \"6 (16.7)\", \"bbox\": [273, 53, 299, 61]}, {\"cell\": \"52 (64.2)\", \"bbox\": [317, 53, 346, 61]}, {\"cell\": \"39 (60.9)\", \"bbox\": [361, 53, 390, 61]}, {\"cell\": \"78 (61.9)\", \"bbox\": [404, 53, 434, 61]}, {\"cell\": \"20 (29.4)\", \"bbox\": [449, 53, 478, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 64, 42, 74]}, {\"cell\": \"126 (65)\", \"bbox\": [180, 65, 208, 73]}, {\"cell\": \"1 (7.7)\", \"bbox\": [232, 65, 253, 73]}, {\"cell\": \"14 (38.9)\", \"bbox\": [271, 65, 301, 73]}, {\"cell\": \"56 (69.1)\", \"bbox\": [317, 65, 346, 73]}, {\"cell\": \"55 (86)\", \"bbox\": [364, 65, 388, 73]}, {\"cell\": \"94 (74.6)\", \"bbox\": [399, 65, 428, 73]}, {\"cell\": \"32 (47.1)\", \"bbox\": [449, 65, 478, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 76, 85, 86]}, {\"cell\": \"15 (7.7)\", \"bbox\": [182, 77, 207, 85]}, {\"cell\": \"4 (30.8)\", \"bbox\": [230, 77, 255, 85]}, {\"cell\": \"3 (8.3)\", \"bbox\": [275, 77, 297, 85]}, {\"cell\": \"6 (7.4)\", \"bbox\": [321, 77, 342, 85]}, {\"cell\": \"2 (3.1)\", \"bbox\": [365, 77, 387, 85]}, {\"cell\": \"6 (4.8)\", \"bbox\": [408, 77, 430, 85]}, {\"cell\": \"9 (13.2)\", \"bbox\": [451, 77, 476, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 88, 132, 98]}, {\"cell\": \"18 (9.3)\", \"bbox\": [182, 89, 207, 97]}, {\"cell\": \"1 (7.7)\", \"bbox\": [232, 89, 253, 97]}, {\"cell\": \"5 (13.9)\", \"bbox\": [273, 89, 299, 97]}, {\"cell\": \"7 (8.6)\", \"bbox\": [321, 89, 342, 97]}, {\"cell\": \"5 (7.8)\", \"bbox\": [365, 89, 386, 97]}, {\"cell\": \"7 (5.6)\", \"bbox\": [408, 89, 430, 97]}, {\"cell\": \"8 (11.8)\", \"bbox\": [451, 89, 476, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 100, 155, 110]}, {\"cell\": \"11 (5.7)\", \"bbox\": [182, 101, 207, 109]}, {\"cell\": \"1 (7.7)\", \"bbox\": [232, 101, 253, 109]}, {\"cell\": \"3 (8.3)\", \"bbox\": [275, 101, 297, 109]}, {\"cell\": \"5 (6.2)\", \"bbox\": [321, 101, 342, 109]}, {\"cell\": \"2 (3.1)\", \"bbox\": [365, 101, 386, 109]}, {\"cell\": \"5 (4)\", \"bbox\": [411, 101, 427, 109]}, {\"cell\": \"6 (8.8)\", \"bbox\": [453, 101, 474, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 112, 83, 122]}, {\"cell\": \"4 (2)\", \"bbox\": [186, 113, 203, 121]}, {\"cell\": \"0 (0)\", \"bbox\": [234, 113, 251, 121]}, {\"cell\": \"4 (11.1)\", \"bbox\": [273, 113, 299, 121]}, {\"cell\": \"0 (0)\", \"bbox\": [323, 113, 340, 121]}, {\"cell\": \"0 (0)\", \"bbox\": [367, 113, 384, 121]}, {\"cell\": \"0 (0)\", \"bbox\": [411, 113, 427, 121]}, {\"cell\": \"4 (5.9)\", \"bbox\": [453, 113, 474, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 124, 25, 134]}, {\"cell\": \"2 (1)\", \"bbox\": [186, 124, 203, 133]}, {\"cell\": \"0 (0)\", \"bbox\": [234, 124, 251, 133]}, {\"cell\": \"2 (5.6)\", \"bbox\": [275, 124, 297, 133]}, {\"cell\": \"0 (0)\", \"bbox\": [323, 124, 340, 133]}, {\"cell\": \"0 (0)\", \"bbox\": [367, 124, 384, 133]}, {\"cell\": \"1 (0.8)\", \"bbox\": [408, 124, 430, 133]}, {\"cell\": \"1 (1.5)\", \"bbox\": [453, 124, 474, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 136, 37, 146]}, {\"cell\": \"18 (9.3)\", \"bbox\": [182, 136, 207, 145]}, {\"cell\": \"6 (46.2)\", \"bbox\": [230, 136, 255, 145]}, {\"cell\": \"8 (22.2)\", \"bbox\": [273, 136, 299, 145]}, {\"cell\": \"3 (3.7)\", \"bbox\": [321, 136, 342, 145]}, {\"cell\": \"1 (1.6)\", \"bbox\": [365, 136, 387, 145]}, {\"cell\": \"7 (5.6)\", \"bbox\": [408, 136, 430, 145]}, {\"cell\": \"11 (16.2)\", \"bbox\": [449, 136, 478, 145]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3126780_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
ParametersSummerWinter
[EMPTY_CELL]46.15±1.30*55.55±1.19
[EMPTY_CELL]22.87±0.85*14.09±0.90
[EMPTY_CELL]6.78±0.196.70±0.25
[EMPTY_CELL]2.33±0.04*0.98±0.04
[EMPTY_CELL]0.40±0.03*0.18±0.01
[EMPTY_CELL]44.29±0.43*81.62±1.77
[EMPTY_CELL]44.51±1.53*36.32±1.20
[EMPTY_CELL]121.38±2.48*103.86±3.27
[EMPTY_CELL]161.24±0.37*143.17±0.67
[EMPTY_CELL]6.00±0.05*4.60±0.05
[EMPTY_CELL]7.49±0.11*8.52±0.23
[EMPTY_CELL]3.74±0.09*5.70±0.49
[EMPTY_CELL]1.46±0.09*2.55±0.12
[EMPTY_CELL]43.09±1.25*54.93±1.05
[EMPTY_CELL]13.71±0.36*10.62±0.25
\", \"cells\": [{\"cell\": \"Parameters\", \"bbox\": [1, 6, 54, 14]}, {\"cell\": \"Summer\", \"bbox\": [112, 6, 152, 14]}, {\"cell\": \"Winter\", \"bbox\": [195, 6, 227, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 20, 68, 30]}, {\"cell\": \"46.15±1.30*\", \"bbox\": [105, 20, 160, 30]}, {\"cell\": \"55.55±1.19\", \"bbox\": [186, 20, 236, 30]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 30, 53, 40]}, {\"cell\": \"22.87±0.85*\", \"bbox\": [105, 30, 160, 40]}, {\"cell\": \"14.09±0.90\", \"bbox\": [186, 30, 236, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 40, 38, 50]}, {\"cell\": \"6.78±0.19\", \"bbox\": [110, 40, 155, 50]}, {\"cell\": \"6.70±0.25\", \"bbox\": [188, 40, 233, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 51, 45, 60]}, {\"cell\": \"2.33±0.04*\", \"bbox\": [107, 51, 157, 60]}, {\"cell\": \"0.98±0.04\", \"bbox\": [188, 51, 233, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 61, 71, 70]}, {\"cell\": \"0.40±0.03*\", \"bbox\": [107, 61, 157, 70]}, {\"cell\": \"0.18±0.01\", \"bbox\": [188, 61, 233, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 71, 81, 81]}, {\"cell\": \"44.29±0.43*\", \"bbox\": [105, 71, 160, 81]}, {\"cell\": \"81.62±1.77\", \"bbox\": [186, 71, 236, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 81, 41, 91]}, {\"cell\": \"44.51±1.53*\", \"bbox\": [105, 81, 160, 91]}, {\"cell\": \"36.32±1.20\", \"bbox\": [186, 81, 236, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 91, 42, 101]}, {\"cell\": \"121.38±2.48*\", \"bbox\": [102, 91, 162, 101]}, {\"cell\": \"103.86±3.27\", \"bbox\": [183, 91, 238, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 101, 52, 111]}, {\"cell\": \"161.24±0.37*\", \"bbox\": [102, 101, 162, 111]}, {\"cell\": \"143.17±0.67\", \"bbox\": [183, 101, 238, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 111, 47, 121]}, {\"cell\": \"6.00±0.05*\", \"bbox\": [107, 111, 157, 121]}, {\"cell\": \"4.60±0.05\", \"bbox\": [188, 111, 233, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 121, 47, 131]}, {\"cell\": \"7.49±0.11*\", \"bbox\": [107, 121, 157, 131]}, {\"cell\": \"8.52±0.23\", \"bbox\": [188, 121, 233, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 132, 44, 141]}, {\"cell\": \"3.74±0.09*\", \"bbox\": [107, 132, 157, 141]}, {\"cell\": \"5.70±0.49\", \"bbox\": [188, 132, 233, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 142, 46, 151]}, {\"cell\": \"1.46±0.09*\", \"bbox\": [107, 142, 157, 151]}, {\"cell\": \"2.55±0.12\", \"bbox\": [188, 142, 233, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 152, 46, 161]}, {\"cell\": \"43.09±1.25*\", \"bbox\": [105, 152, 160, 161]}, {\"cell\": \"54.93±1.05\", \"bbox\": [186, 152, 236, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 162, 67, 172]}, {\"cell\": \"13.71±0.36*\", \"bbox\": [105, 162, 160, 172]}, {\"cell\": \"10.62±0.25\", \"bbox\": [186, 162, 236, 172]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5499082_002_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
SpeciesBall pythonBurmese pythonChildren’s pythonAmazon tree boaMalagasy ground boa
Parameter(US)(US)(μCT)(US)(US)(US)
[EMPTY_CELL]661142
[EMPTY_CELL]114.8 ± 6.0 CI95 (110.0;119.5)102.9 ± 3.8 CI95 (99.9;105.9)100.390.554.6 ± 18.8 CI95 (39.5;69.6)80.5 ± 5.0 CI95 (76.5;84.5)
[EMPTY_CELL]1309.5 ± 196.4 CI95 (1152.4;1466.7)513.0 ± 58.1 CI95 (466.5;559.6)491.6318.845.9 ± 11.4 CI95 (36.8;55.1)449.2 ± 57.8 CI95 (403.0;495.5)
[EMPTY_CELL]5.8 ± 0.5 CI95 (5.4;6.2)5.1 ± 0.2 CI95 (4.9;5.3)5.13.43.8 ± 0.3 CI95 (3.6;4.0)4.9 ± 0.3 CI95 (4.7;5.1)
[EMPTY_CELL]111.3 ± 3.4 CI95 (108.6;114.1)110.1 ± 9.3 CI95 (102.6;117.5)114.495.076.6 ± 7.9 CI95 (70.3;82.9)94.5 ± 1.4 CI95 (93.4;95.6)
[EMPTY_CELL]57.3 ± 30.7 CI95 (32.8;81.9)49.7 ± 26.2 CI95 (28.7;70.6)65.226.523.4 ± 10.3 CI95 (15.1;31.6)19.5 ± 5.7 CI95 (15.0;24.0)
[EMPTY_CELL]228.4 ± 22.2 CI95 (210.7;246.1)237.3 ± 16.9 CI95 (223.7;250.8)224.1194.5186.1 ± 3.0 CI95 (183.8;188.5)210.5 ± 1.4 CI95 (209.4;211.6)
\", \"cells\": [{\"cell\": \"Species\", \"bbox\": [0, 4, 28, 13]}, {\"cell\": \"Ball python\", \"bbox\": [128, 4, 170, 13]}, {\"cell\": \"Burmese python\", \"bbox\": [247, 4, 306, 13]}, {\"cell\": \"Children’s python\", \"bbox\": [378, 4, 441, 13]}, {\"cell\": \"Amazon tree boa\", \"bbox\": [449, 4, 511, 13]}, {\"cell\": \"Malagasy ground boa\", \"bbox\": [549, 4, 626, 13]}, {\"cell\": \"Parameter\", \"bbox\": [1, 17, 38, 27]}, {\"cell\": \"(US)\", \"bbox\": [128, 17, 144, 27]}, {\"cell\": \"(US)\", \"bbox\": [247, 17, 263, 27]}, {\"cell\": \"(μCT)\", \"bbox\": [351, 17, 371, 27]}, {\"cell\": \"(US)\", \"bbox\": [378, 17, 394, 27]}, {\"cell\": \"(US)\", \"bbox\": [449, 17, 465, 27]}, {\"cell\": \"(US)\", \"bbox\": [549, 17, 565, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 30, 14, 40]}, {\"cell\": \"6\", \"bbox\": [128, 30, 134, 40]}, {\"cell\": \"6\", \"bbox\": [247, 30, 253, 40]}, {\"cell\": \"1\", \"bbox\": [351, 30, 357, 40]}, {\"cell\": \"1\", \"bbox\": [378, 30, 384, 40]}, {\"cell\": \"4\", \"bbox\": [449, 30, 454, 40]}, {\"cell\": \"2\", \"bbox\": [549, 30, 554, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 44, 58, 54]}, {\"cell\": \"114.8 ± 6.0 CI95 (110.0;119.5)\", \"bbox\": [128, 44, 221, 54]}, {\"cell\": \"102.9 ± 3.8 CI95 (99.9;105.9)\", \"bbox\": [247, 44, 336, 54]}, {\"cell\": \"100.3\", \"bbox\": [351, 44, 370, 54]}, {\"cell\": \"90.5\", \"bbox\": [378, 44, 393, 54]}, {\"cell\": \"54.6 ± 18.8 CI95 (39.5;69.6)\", \"bbox\": [449, 44, 534, 54]}, {\"cell\": \"80.5 ± 5.0 CI95 (76.5;84.5)\", \"bbox\": [549, 44, 630, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 58, 54, 68]}, {\"cell\": \"1309.5 ± 196.4 CI95 (1152.4;1466.7)\", \"bbox\": [128, 58, 240, 68]}, {\"cell\": \"513.0 ± 58.1 CI95 (466.5;559.6)\", \"bbox\": [247, 58, 344, 68]}, {\"cell\": \"491.6\", \"bbox\": [351, 58, 370, 68]}, {\"cell\": \"318.8\", \"bbox\": [378, 58, 397, 68]}, {\"cell\": \"45.9 ± 11.4 CI95 (36.8;55.1)\", \"bbox\": [449, 58, 534, 68]}, {\"cell\": \"449.2 ± 57.8 CI95 (403.0;495.5)\", \"bbox\": [549, 58, 645, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 72, 83, 82]}, {\"cell\": \"5.8 ± 0.5 CI95 (5.4;6.2)\", \"bbox\": [128, 72, 198, 82]}, {\"cell\": \"5.1 ± 0.2 CI95 (4.9;5.3)\", \"bbox\": [247, 72, 317, 82]}, {\"cell\": \"5.1\", \"bbox\": [351, 72, 362, 82]}, {\"cell\": \"3.4\", \"bbox\": [378, 72, 389, 82]}, {\"cell\": \"3.8 ± 0.3 CI95 (3.6;4.0)\", \"bbox\": [449, 72, 519, 82]}, {\"cell\": \"4.9 ± 0.3 CI95 (4.7;5.1)\", \"bbox\": [549, 72, 619, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 86, 106, 96]}, {\"cell\": \"111.3 ± 3.4 CI95 (108.6;114.1)\", \"bbox\": [128, 86, 221, 96]}, {\"cell\": \"110.1 ± 9.3 CI95 (102.6;117.5)\", \"bbox\": [247, 86, 340, 96]}, {\"cell\": \"114.4\", \"bbox\": [351, 86, 370, 96]}, {\"cell\": \"95.0\", \"bbox\": [378, 86, 393, 96]}, {\"cell\": \"76.6 ± 7.9 CI95 (70.3;82.9)\", \"bbox\": [449, 86, 530, 96]}, {\"cell\": \"94.5 ± 1.4 CI95 (93.4;95.6)\", \"bbox\": [549, 86, 630, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 100, 121, 110]}, {\"cell\": \"57.3 ± 30.7 CI95 (32.8;81.9)\", \"bbox\": [128, 100, 213, 110]}, {\"cell\": \"49.7 ± 26.2 CI95 (28.7;70.6)\", \"bbox\": [247, 100, 332, 110]}, {\"cell\": \"65.2\", \"bbox\": [351, 100, 366, 110]}, {\"cell\": \"26.5\", \"bbox\": [378, 100, 393, 110]}, {\"cell\": \"23.4 ± 10.3 CI95 (15.1;31.6)\", \"bbox\": [449, 100, 534, 110]}, {\"cell\": \"19.5 ± 5.7 CI95 (15.0;24.0)\", \"bbox\": [549, 100, 630, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 114, 99, 124]}, {\"cell\": \"228.4 ± 22.2 CI95 (210.7;246.1)\", \"bbox\": [128, 114, 225, 124]}, {\"cell\": \"237.3 ± 16.9 CI95 (223.7;250.8)\", \"bbox\": [247, 114, 344, 124]}, {\"cell\": \"224.1\", \"bbox\": [351, 114, 370, 124]}, {\"cell\": \"194.5\", \"bbox\": [378, 114, 397, 124]}, {\"cell\": \"186.1 ± 3.0 CI95 (183.8;188.5)\", \"bbox\": [449, 114, 541, 124]}, {\"cell\": \"210.5 ± 1.4 CI95 (209.4;211.6)\", \"bbox\": [549, 114, 641, 124]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4302111_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
NPGS accession numberInbred line namemap location1Collection location from NPGS passport dataC-value (pg/nucleus)chromosome numbertime to flowering3 (weeks)maximum inflorescence height (cm)
PI172383Sin-11Sinop, Turkey0.91ndnever[EMPTY_CELL]
PI204863Zig-12Zigana, Turkey1.07nd5[EMPTY_CELL]
PI204865Tra-13Trabzon, Turkey1.05nd8[EMPTY_CELL]
PI206546na4Greece1.61 1.4827never[EMPTY_CELL]
PI206619na5Samsun, Turkey1.49ndnever[EMPTY_CELL]
PI251102Vel-16Veles, Macedonia1nd6[EMPTY_CELL]
PI268222Gor-17Gorgan, Iran1.02 0.92nd10[EMPTY_CELL]
PI269842Ain-18Ain Draham, Tunisia0.96 0.95189[EMPTY_CELL]
PI287787na9Toledo Province, Spain2.136never[EMPTY_CELL]
PI297868Aus-1na2Australia20.98188[EMPTY_CELL]
PI318962Can-110Candeleda, Spain1.02nd8[EMPTY_CELL]
PI325218na11Stavropol, Russia0.85ndnever[EMPTY_CELL]
PI344569na12Slovakia1.4627never[EMPTY_CELL]
PI345965Osl-113Oslo, Norway0.91nd9[EMPTY_CELL]
PI380758Ard-114Ardebil, Iran0.9nd9[EMPTY_CELL]
PI384810Ast-115Astara, Iran0.93nd8[EMPTY_CELL]
PI440175Alm-116Almaty, Khazakstan0.79nd5[EMPTY_CELL]
PI564896Nov-117Novosibirsk, Russia1.01nd5[EMPTY_CELL]
PI610793Vlo-118Vlore, Albania0.97ndnever[EMPTY_CELL]
PI636630Kry-119Krym, Ukraine0.96nd8[EMPTY_CELL]
W6 23501na20Xizang, Chinandndnever[EMPTY_CELL]
W6 23524na21Xizang, China0.95ndnever[EMPTY_CELL]
W6 23538na22Xizang, Chinandndnever[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"NPGS accession number\", \"bbox\": [0, 25, 54, 48]}, {\"cell\": \"Inbred line name\", \"bbox\": [63, 25, 98, 48]}, {\"cell\": \"map location1\", \"bbox\": [112, 36, 156, 48]}, {\"cell\": \"Collection location from NPGS passport data\", \"bbox\": [157, 25, 234, 48]}, {\"cell\": \"C-value (pg/nucleus)\", \"bbox\": [249, 25, 288, 48]}, {\"cell\": \"chromosome number\", \"bbox\": [305, 25, 348, 48]}, {\"cell\": \"time to flowering3 (weeks)\", \"bbox\": [371, 25, 426, 48]}, {\"cell\": \"maximum inflorescence height (cm)\", \"bbox\": [429, 14, 494, 48]}, {\"cell\": \"PI172383\", \"bbox\": [1, 48, 30, 59]}, {\"cell\": \"Sin-1\", \"bbox\": [63, 48, 80, 59]}, {\"cell\": \"1\", \"bbox\": [112, 48, 118, 59]}, {\"cell\": \"Sinop, Turkey\", \"bbox\": [157, 48, 199, 59]}, {\"cell\": \"0.91\", \"bbox\": [249, 48, 264, 59]}, {\"cell\": \"nd\", \"bbox\": [305, 48, 315, 59]}, {\"cell\": \"never\", \"bbox\": [371, 48, 389, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [429, 48, 438, 59]}, {\"cell\": \"PI204863\", \"bbox\": [1, 59, 30, 70]}, {\"cell\": \"Zig-1\", \"bbox\": [63, 59, 80, 70]}, {\"cell\": \"2\", \"bbox\": [112, 59, 118, 70]}, {\"cell\": \"Zigana, Turkey\", \"bbox\": [157, 59, 203, 70]}, {\"cell\": \"1.07\", \"bbox\": [249, 59, 264, 70]}, {\"cell\": \"nd\", \"bbox\": [305, 59, 315, 70]}, {\"cell\": \"5\", \"bbox\": [371, 59, 377, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [429, 59, 438, 70]}, {\"cell\": \"PI204865\", \"bbox\": [1, 70, 30, 81]}, {\"cell\": \"Tra-1\", \"bbox\": [63, 70, 80, 81]}, {\"cell\": \"3\", \"bbox\": [112, 70, 118, 81]}, {\"cell\": \"Trabzon, Turkey\", \"bbox\": [157, 70, 207, 81]}, {\"cell\": \"1.05\", \"bbox\": [249, 70, 264, 81]}, {\"cell\": \"nd\", \"bbox\": [305, 70, 315, 81]}, {\"cell\": \"8\", \"bbox\": [371, 70, 377, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [429, 70, 438, 81]}, {\"cell\": \"PI206546\", \"bbox\": [1, 81, 30, 92]}, {\"cell\": \"na\", \"bbox\": [63, 81, 72, 92]}, {\"cell\": \"4\", \"bbox\": [112, 81, 118, 92]}, {\"cell\": \"Greece\", \"bbox\": [157, 81, 181, 92]}, {\"cell\": \"1.61 1.48\", \"bbox\": [249, 81, 278, 92]}, {\"cell\": \"27\", \"bbox\": [305, 81, 315, 92]}, {\"cell\": \"never\", \"bbox\": [371, 81, 389, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [429, 81, 438, 92]}, {\"cell\": \"PI206619\", \"bbox\": [1, 92, 30, 103]}, {\"cell\": \"na\", \"bbox\": [63, 92, 72, 103]}, {\"cell\": \"5\", \"bbox\": [112, 92, 118, 103]}, {\"cell\": \"Samsun, Turkey\", \"bbox\": [157, 92, 207, 103]}, {\"cell\": \"1.49\", \"bbox\": [249, 92, 264, 103]}, {\"cell\": \"nd\", \"bbox\": [305, 92, 315, 103]}, {\"cell\": \"never\", \"bbox\": [371, 92, 389, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [429, 92, 438, 103]}, {\"cell\": \"PI251102\", \"bbox\": [1, 103, 30, 114]}, {\"cell\": \"Vel-1\", \"bbox\": [63, 103, 80, 114]}, {\"cell\": \"6\", \"bbox\": [112, 103, 118, 114]}, {\"cell\": \"Veles, Macedonia\", \"bbox\": [157, 103, 211, 114]}, {\"cell\": \"1\", \"bbox\": [249, 103, 255, 114]}, {\"cell\": \"nd\", \"bbox\": [305, 103, 315, 114]}, {\"cell\": \"6\", \"bbox\": [371, 103, 377, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [429, 103, 438, 114]}, {\"cell\": \"PI268222\", \"bbox\": [1, 114, 30, 125]}, {\"cell\": \"Gor-1\", \"bbox\": [63, 114, 82, 125]}, {\"cell\": \"7\", \"bbox\": [112, 114, 118, 125]}, {\"cell\": \"Gorgan, Iran\", \"bbox\": [157, 114, 196, 125]}, {\"cell\": \"1.02 0.92\", \"bbox\": [249, 114, 278, 125]}, {\"cell\": \"nd\", \"bbox\": [305, 114, 315, 125]}, {\"cell\": \"10\", \"bbox\": [371, 114, 380, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [429, 114, 438, 125]}, {\"cell\": \"PI269842\", \"bbox\": [1, 125, 30, 136]}, {\"cell\": \"Ain-1\", \"bbox\": [63, 125, 80, 136]}, {\"cell\": \"8\", \"bbox\": [112, 125, 118, 136]}, {\"cell\": \"Ain Draham, Tunisia\", \"bbox\": [157, 125, 218, 136]}, {\"cell\": \"0.96 0.95\", \"bbox\": [249, 125, 278, 136]}, {\"cell\": \"18\", \"bbox\": [305, 125, 315, 136]}, {\"cell\": \"9\", \"bbox\": [371, 125, 377, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [429, 125, 442, 136]}, {\"cell\": \"PI287787\", \"bbox\": [1, 136, 30, 147]}, {\"cell\": \"na\", \"bbox\": [63, 136, 72, 147]}, {\"cell\": \"9\", \"bbox\": [112, 136, 118, 147]}, {\"cell\": \"Toledo Province, Spain\", \"bbox\": [157, 136, 227, 147]}, {\"cell\": \"2.1\", \"bbox\": [249, 136, 260, 147]}, {\"cell\": \"36\", \"bbox\": [305, 136, 315, 147]}, {\"cell\": \"never\", \"bbox\": [371, 136, 389, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [429, 136, 438, 147]}, {\"cell\": \"PI297868\", \"bbox\": [1, 147, 30, 158]}, {\"cell\": \"Aus-1\", \"bbox\": [63, 147, 82, 158]}, {\"cell\": \"na2\", \"bbox\": [112, 147, 123, 158]}, {\"cell\": \"Australia2\", \"bbox\": [157, 147, 186, 158]}, {\"cell\": \"0.98\", \"bbox\": [249, 147, 264, 158]}, {\"cell\": \"18\", \"bbox\": [305, 147, 315, 158]}, {\"cell\": \"8\", \"bbox\": [371, 147, 377, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [429, 147, 442, 158]}, {\"cell\": \"PI318962\", \"bbox\": [1, 158, 30, 169]}, {\"cell\": \"Can-1\", \"bbox\": [63, 158, 83, 169]}, {\"cell\": \"10\", \"bbox\": [112, 158, 122, 169]}, {\"cell\": \"Candeleda, Spain\", \"bbox\": [157, 158, 211, 169]}, {\"cell\": \"1.02\", \"bbox\": [249, 158, 264, 169]}, {\"cell\": \"nd\", \"bbox\": [305, 158, 315, 169]}, {\"cell\": \"8\", \"bbox\": [371, 158, 377, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [429, 158, 442, 169]}, {\"cell\": \"PI325218\", \"bbox\": [1, 169, 30, 180]}, {\"cell\": \"na\", \"bbox\": [63, 169, 72, 180]}, {\"cell\": \"11\", \"bbox\": [112, 169, 122, 180]}, {\"cell\": \"Stavropol, Russia\", \"bbox\": [157, 169, 210, 180]}, {\"cell\": \"0.85\", \"bbox\": [249, 169, 264, 180]}, {\"cell\": \"nd\", \"bbox\": [305, 169, 315, 180]}, {\"cell\": \"never\", \"bbox\": [371, 169, 389, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [429, 169, 438, 180]}, {\"cell\": \"PI344569\", \"bbox\": [1, 180, 30, 191]}, {\"cell\": \"na\", \"bbox\": [63, 180, 72, 191]}, {\"cell\": \"12\", \"bbox\": [112, 180, 122, 191]}, {\"cell\": \"Slovakia\", \"bbox\": [157, 180, 184, 191]}, {\"cell\": \"1.46\", \"bbox\": [249, 180, 264, 191]}, {\"cell\": \"27\", \"bbox\": [305, 180, 315, 191]}, {\"cell\": \"never\", \"bbox\": [371, 180, 389, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [429, 180, 438, 191]}, {\"cell\": \"PI345965\", \"bbox\": [1, 191, 30, 202]}, {\"cell\": \"Osl-1\", \"bbox\": [63, 191, 80, 202]}, {\"cell\": \"13\", \"bbox\": [112, 191, 122, 202]}, {\"cell\": \"Oslo, Norway\", \"bbox\": [157, 191, 198, 202]}, {\"cell\": \"0.91\", \"bbox\": [249, 191, 264, 202]}, {\"cell\": \"nd\", \"bbox\": [305, 191, 315, 202]}, {\"cell\": \"9\", \"bbox\": [371, 191, 377, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [429, 191, 438, 202]}, {\"cell\": \"PI380758\", \"bbox\": [1, 202, 30, 213]}, {\"cell\": \"Ard-1\", \"bbox\": [63, 202, 81, 213]}, {\"cell\": \"14\", \"bbox\": [112, 202, 122, 213]}, {\"cell\": \"Ardebil, Iran\", \"bbox\": [157, 202, 194, 213]}, {\"cell\": \"0.9\", \"bbox\": [249, 202, 260, 213]}, {\"cell\": \"nd\", \"bbox\": [305, 202, 315, 213]}, {\"cell\": \"9\", \"bbox\": [371, 202, 377, 213]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [429, 202, 442, 213]}, {\"cell\": \"PI384810\", \"bbox\": [1, 213, 30, 224]}, {\"cell\": \"Ast-1\", \"bbox\": [63, 213, 80, 224]}, {\"cell\": \"15\", \"bbox\": [112, 213, 122, 224]}, {\"cell\": \"Astara, Iran\", \"bbox\": [157, 213, 193, 224]}, {\"cell\": \"0.93\", \"bbox\": [249, 213, 264, 224]}, {\"cell\": \"nd\", \"bbox\": [305, 213, 315, 224]}, {\"cell\": \"8\", \"bbox\": [371, 213, 377, 224]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [429, 213, 442, 224]}, {\"cell\": \"PI440175\", \"bbox\": [1, 224, 30, 235]}, {\"cell\": \"Alm-1\", \"bbox\": [63, 224, 82, 235]}, {\"cell\": \"16\", \"bbox\": [112, 224, 122, 235]}, {\"cell\": \"Almaty, Khazakstan\", \"bbox\": [157, 224, 217, 235]}, {\"cell\": \"0.79\", \"bbox\": [249, 224, 264, 235]}, {\"cell\": \"nd\", \"bbox\": [305, 224, 315, 235]}, {\"cell\": \"5\", \"bbox\": [371, 224, 377, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [429, 224, 438, 235]}, {\"cell\": \"PI564896\", \"bbox\": [1, 235, 30, 246]}, {\"cell\": \"Nov-1\", \"bbox\": [63, 235, 82, 246]}, {\"cell\": \"17\", \"bbox\": [112, 235, 122, 246]}, {\"cell\": \"Novosibirsk, Russia\", \"bbox\": [157, 235, 216, 246]}, {\"cell\": \"1.01\", \"bbox\": [249, 235, 264, 246]}, {\"cell\": \"nd\", \"bbox\": [305, 235, 315, 246]}, {\"cell\": \"5\", \"bbox\": [371, 235, 377, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [429, 235, 438, 246]}, {\"cell\": \"PI610793\", \"bbox\": [1, 246, 30, 257]}, {\"cell\": \"Vlo-1\", \"bbox\": [63, 246, 80, 257]}, {\"cell\": \"18\", \"bbox\": [112, 246, 122, 257]}, {\"cell\": \"Vlore, Albania\", \"bbox\": [157, 246, 200, 257]}, {\"cell\": \"0.97\", \"bbox\": [249, 246, 264, 257]}, {\"cell\": \"nd\", \"bbox\": [305, 246, 315, 257]}, {\"cell\": \"never\", \"bbox\": [371, 246, 389, 257]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [429, 246, 442, 257]}, {\"cell\": \"PI636630\", \"bbox\": [1, 257, 30, 268]}, {\"cell\": \"Kry-1\", \"bbox\": [63, 257, 80, 268]}, {\"cell\": \"19\", \"bbox\": [112, 257, 122, 268]}, {\"cell\": \"Krym, Ukraine\", \"bbox\": [157, 257, 200, 268]}, {\"cell\": \"0.96\", \"bbox\": [249, 257, 264, 268]}, {\"cell\": \"nd\", \"bbox\": [305, 257, 315, 268]}, {\"cell\": \"8\", \"bbox\": [371, 257, 377, 268]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [429, 257, 442, 268]}, {\"cell\": \"W6 23501\", \"bbox\": [1, 268, 32, 279]}, {\"cell\": \"na\", \"bbox\": [63, 268, 72, 279]}, {\"cell\": \"20\", \"bbox\": [112, 268, 122, 279]}, {\"cell\": \"Xizang, China\", \"bbox\": [157, 268, 200, 279]}, {\"cell\": \"nd\", \"bbox\": [249, 268, 258, 279]}, {\"cell\": \"nd\", \"bbox\": [305, 268, 315, 279]}, {\"cell\": \"never\", \"bbox\": [371, 268, 389, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [429, 268, 438, 279]}, {\"cell\": \"W6 23524\", \"bbox\": [1, 279, 32, 290]}, {\"cell\": \"na\", \"bbox\": [63, 279, 72, 290]}, {\"cell\": \"21\", \"bbox\": [112, 279, 122, 290]}, {\"cell\": \"Xizang, China\", \"bbox\": [157, 279, 200, 290]}, {\"cell\": \"0.95\", \"bbox\": [249, 279, 264, 290]}, {\"cell\": \"nd\", \"bbox\": [305, 279, 315, 290]}, {\"cell\": \"never\", \"bbox\": [371, 279, 389, 290]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [429, 279, 438, 290]}, {\"cell\": \"W6 23538\", \"bbox\": [1, 290, 32, 301]}, {\"cell\": \"na\", \"bbox\": [63, 290, 72, 301]}, {\"cell\": \"22\", \"bbox\": [112, 290, 122, 301]}, {\"cell\": \"Xizang, China\", \"bbox\": [157, 290, 200, 301]}, {\"cell\": \"nd\", \"bbox\": [249, 290, 258, 301]}, {\"cell\": \"nd\", \"bbox\": [305, 290, 315, 301]}, {\"cell\": \"never\", \"bbox\": [371, 290, 389, 301]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [429, 290, 438, 301]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3779173_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL][EMPTY_CELL]GuinierGNOM
SampleConc.a (ng/μl)qRgRg (Å)I(0) (a.u.)qbRg (Å)I(0)Dmax (Å)
APS BioCAT[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
+A Group II Intron100[EMPTY_CELL]73.5 ± 0.8324.0 ± 3.00.006–0.3774.9326.2250
[EMPTY_CELL]50[EMPTY_CELL]75.3 ± 0.9139.0 ± 1.00.006–0.3772.7133.0225
[EMPTY_CELL]40[EMPTY_CELL]73.0 ± 1.0120.2 ± 1.00.006–0.3172.4116.0225
[EMPTY_CELL]Inf. dil.[EMPTY_CELL]73.3 ± 0.9[EMPTY_CELL][EMPTY_CELL]73.3[EMPTY_CELL]235
NSLS X9
+A Group II Intron (DII-tRNA)100[EMPTY_CELL]87.3 ± 1.2131.7 ± 2.10.010–0.2595.1125.0284
CHESS F2c
+A Group II Intron[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
0% Sucrose40[EMPTY_CELL]71.2 ± 4.40.53 ± 0.030.0097–0.1570.70.52235
16.5% Sucrose60[EMPTY_CELL]86.6 ± 3.90.70 ± 0.040.0097–0.1583.80.64235
32.5% Sucrose50[EMPTY_CELL]105.8 ± 8.30.52 ± 0.060.0097–0.1092.90.42235
48.8% Sucrose100[EMPTY_CELL]115.2 ± 5.60.87 ± 0.07-n.d.--n.d.--n.d.-[EMPTY_CELL]
65% Sucrose50[EMPTY_CELL]118.6 ± 11.80.41 ± 0.07-n.d.--n.d.--n.d.-[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Guinier\", \"bbox\": [226, 7, 255, 16]}, {\"cell\": \"GNOM\", \"bbox\": [413, 7, 442, 16]}, {\"cell\": \"Sample\", \"bbox\": [2, 25, 29, 34]}, {\"cell\": \"Conc.a (ng/μl)\", \"bbox\": [93, 23, 144, 34]}, {\"cell\": \"qRg\", \"bbox\": [161, 25, 177, 35]}, {\"cell\": \"Rg (Å)\", \"bbox\": [209, 23, 234, 35]}, {\"cell\": \"I(0) (a.u.)\", \"bbox\": [271, 25, 306, 34]}, {\"cell\": \"qb\", \"bbox\": [337, 23, 346, 34]}, {\"cell\": \"Rg (Å)\", \"bbox\": [399, 23, 425, 35]}, {\"cell\": \"I(0)\", \"bbox\": [442, 25, 456, 34]}, {\"cell\": \"Dmax (Å)\", \"bbox\": [484, 23, 518, 35]}, {\"cell\": \"APS BioCAT\", \"bbox\": [2, 43, 51, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"+A Group II Intron\", \"bbox\": [0, 52, 76, 62]}, {\"cell\": \"100\", \"bbox\": [93, 52, 107, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [161, 52, 192, 62]}, {\"cell\": \"73.5 ± 0.8\", \"bbox\": [213, 52, 250, 62]}, {\"cell\": \"324.0 ± 3.0\", \"bbox\": [271, 52, 312, 62]}, {\"cell\": \"0.006–0.37\", \"bbox\": [340, 52, 378, 62]}, {\"cell\": \"74.9\", \"bbox\": [399, 52, 415, 62]}, {\"cell\": \"326.2\", \"bbox\": [442, 52, 462, 62]}, {\"cell\": \"250\", \"bbox\": [484, 52, 498, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"50\", \"bbox\": [97, 61, 107, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [161, 61, 192, 71]}, {\"cell\": \"75.3 ± 0.9\", \"bbox\": [213, 61, 250, 71]}, {\"cell\": \"139.0 ± 1.0\", \"bbox\": [271, 61, 312, 71]}, {\"cell\": \"0.006–0.37\", \"bbox\": [340, 61, 378, 71]}, {\"cell\": \"72.7\", \"bbox\": [399, 61, 415, 71]}, {\"cell\": \"133.0\", \"bbox\": [442, 61, 462, 71]}, {\"cell\": \"225\", \"bbox\": [484, 61, 498, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"40\", \"bbox\": [97, 70, 107, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [161, 70, 192, 80]}, {\"cell\": \"73.0 ± 1.0\", \"bbox\": [213, 70, 250, 80]}, {\"cell\": \"120.2 ± 1.0\", \"bbox\": [271, 70, 312, 80]}, {\"cell\": \"0.006–0.31\", \"bbox\": [340, 70, 378, 80]}, {\"cell\": \"72.4\", \"bbox\": [399, 70, 415, 80]}, {\"cell\": \"116.0\", \"bbox\": [442, 70, 462, 80]}, {\"cell\": \"225\", \"bbox\": [484, 70, 498, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Inf. dil.\", \"bbox\": [93, 79, 120, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [161, 79, 192, 89]}, {\"cell\": \"73.3 ± 0.9\", \"bbox\": [213, 79, 250, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"73.3\", \"bbox\": [399, 79, 415, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"235\", \"bbox\": [484, 79, 498, 89]}, {\"cell\": \"NSLS X9\", \"bbox\": [2, 88, 38, 98]}, {\"cell\": \"+A Group II Intron (DII-tRNA)\", \"bbox\": [1, 97, 76, 115]}, {\"cell\": \"100\", \"bbox\": [93, 97, 107, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [161, 97, 188, 107]}, {\"cell\": \"87.3 ± 1.2\", \"bbox\": [213, 97, 250, 107]}, {\"cell\": \"131.7 ± 2.1\", \"bbox\": [271, 97, 312, 107]}, {\"cell\": \"0.010–0.25\", \"bbox\": [340, 97, 378, 107]}, {\"cell\": \"95.1\", \"bbox\": [399, 97, 415, 107]}, {\"cell\": \"125.0\", \"bbox\": [442, 97, 462, 107]}, {\"cell\": \"284\", \"bbox\": [484, 97, 498, 107]}, {\"cell\": \"CHESS F2c\", \"bbox\": [2, 119, 45, 130]}, {\"cell\": \"+A Group II Intron\", \"bbox\": [1, 130, 76, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0% Sucrose\", \"bbox\": [2, 139, 45, 148]}, {\"cell\": \"40\", \"bbox\": [97, 139, 107, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [161, 139, 192, 148]}, {\"cell\": \"71.2 ± 4.4\", \"bbox\": [213, 139, 250, 148]}, {\"cell\": \"0.53 ± 0.03\", \"bbox\": [279, 139, 320, 148]}, {\"cell\": \"0.0097–0.15\", \"bbox\": [340, 139, 382, 148]}, {\"cell\": \"70.7\", \"bbox\": [399, 139, 415, 148]}, {\"cell\": \"0.52\", \"bbox\": [450, 139, 466, 148]}, {\"cell\": \"235\", \"bbox\": [484, 139, 498, 148]}, {\"cell\": \"16.5% Sucrose\", \"bbox\": [2, 148, 55, 157]}, {\"cell\": \"60\", \"bbox\": [97, 148, 107, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [161, 148, 192, 157]}, {\"cell\": \"86.6 ± 3.9\", \"bbox\": [213, 148, 250, 157]}, {\"cell\": \"0.70 ± 0.04\", \"bbox\": [279, 148, 320, 157]}, {\"cell\": \"0.0097–0.15\", \"bbox\": [340, 148, 382, 157]}, {\"cell\": \"83.8\", \"bbox\": [399, 148, 415, 157]}, {\"cell\": \"0.64\", \"bbox\": [450, 148, 466, 157]}, {\"cell\": \"235\", \"bbox\": [484, 148, 498, 157]}, {\"cell\": \"32.5% Sucrose\", \"bbox\": [2, 157, 55, 166]}, {\"cell\": \"50\", \"bbox\": [97, 157, 107, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [161, 157, 192, 166]}, {\"cell\": \"105.8 ± 8.3\", \"bbox\": [209, 157, 250, 166]}, {\"cell\": \"0.52 ± 0.06\", \"bbox\": [279, 157, 320, 166]}, {\"cell\": \"0.0097–0.10\", \"bbox\": [340, 157, 382, 166]}, {\"cell\": \"92.9\", \"bbox\": [399, 157, 415, 166]}, {\"cell\": \"0.42\", \"bbox\": [450, 157, 466, 166]}, {\"cell\": \"235\", \"bbox\": [484, 157, 498, 166]}, {\"cell\": \"48.8% Sucrose\", \"bbox\": [2, 166, 55, 175]}, {\"cell\": \"100\", \"bbox\": [93, 166, 107, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [161, 166, 192, 175]}, {\"cell\": \"115.2 ± 5.6\", \"bbox\": [209, 166, 250, 175]}, {\"cell\": \"0.87 ± 0.07\", \"bbox\": [279, 166, 320, 175]}, {\"cell\": \"-n.d.-\", \"bbox\": [337, 166, 357, 175]}, {\"cell\": \"-n.d.-\", \"bbox\": [400, 166, 421, 175]}, {\"cell\": \"-n.d.-\", \"bbox\": [447, 166, 467, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"65% Sucrose\", \"bbox\": [2, 175, 49, 184]}, {\"cell\": \"50\", \"bbox\": [97, 175, 107, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [161, 175, 192, 184]}, {\"cell\": \"118.6 ± 11.8\", \"bbox\": [209, 175, 254, 184]}, {\"cell\": \"0.41 ± 0.07\", \"bbox\": [279, 175, 320, 184]}, {\"cell\": \"-n.d.-\", \"bbox\": [337, 175, 357, 184]}, {\"cell\": \"-n.d.-\", \"bbox\": [400, 175, 421, 184]}, {\"cell\": \"-n.d.-\", \"bbox\": [447, 175, 467, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4005650_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
FactorLCNEC (n = 70)
[EMPTY_CELL]
[EMPTY_CELL]52 (72 %)
[EMPTY_CELL]18 (28 %)
[EMPTY_CELL]63 years (41–81)
[EMPTY_CELL]20 (29 %)
[EMPTY_CELL]50 (71 %)
[EMPTY_CELL]
[EMPTY_CELL]9/10
[EMPTY_CELL]15/9
[EMPTY_CELL]18/2
[EMPTY_CELL]7
[EMPTY_CELL]66 (94 %)
[EMPTY_CELL]65 (93 %)
[EMPTY_CELL]4 (6 %)
[EMPTY_CELL]53 (81 %)
[EMPTY_CELL]3 (5 %)
[EMPTY_CELL]5 (8 %)
[EMPTY_CELL]36 (51 %)
[EMPTY_CELL]4 (6 %)
[EMPTY_CELL]32 (46 %)
[EMPTY_CELL]14 (20 %)
[EMPTY_CELL]17 (24 %)
[EMPTY_CELL]4 (6 %)
[EMPTY_CELL]10 (14 %)
[EMPTY_CELL]3 (4 %)
[EMPTY_CELL]17 (24 %)
[EMPTY_CELL]7 (10 %)
[EMPTY_CELL]2 (3 %)
[EMPTY_CELL]6 (9 %)
[EMPTY_CELL]2 (3 %)
[EMPTY_CELL]3 (4 %)
\", \"cells\": [{\"cell\": \"Factor\", \"bbox\": [0, 5, 24, 13]}, {\"cell\": \"LCNEC (n = 70)\", \"bbox\": [182, 5, 236, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 22, 14, 32]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 34, 23, 44]}, {\"cell\": \"52 (72 %)\", \"bbox\": [182, 34, 214, 44]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 46, 30, 56]}, {\"cell\": \"18 (28 %)\", \"bbox\": [182, 46, 214, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 58, 65, 68]}, {\"cell\": \"63 years (41–81)\", \"bbox\": [182, 58, 236, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 71, 50, 80]}, {\"cell\": \"20 (29 %)\", \"bbox\": [182, 71, 214, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 83, 91, 92]}, {\"cell\": \"50 (71 %)\", \"bbox\": [182, 83, 214, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 95, 95, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 107, 22, 116]}, {\"cell\": \"9/10\", \"bbox\": [182, 107, 199, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 119, 26, 128]}, {\"cell\": \"15/9\", \"bbox\": [182, 119, 199, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 131, 29, 141]}, {\"cell\": \"18/2\", \"bbox\": [182, 131, 199, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 143, 30, 153]}, {\"cell\": \"7\", \"bbox\": [182, 143, 188, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 155, 55, 165]}, {\"cell\": \"66 (94 %)\", \"bbox\": [182, 155, 214, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 167, 31, 177]}, {\"cell\": \"65 (93 %)\", \"bbox\": [182, 167, 214, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 179, 67, 189]}, {\"cell\": \"4 (6 %)\", \"bbox\": [182, 179, 206, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 192, 49, 201]}, {\"cell\": \"53 (81 %)\", \"bbox\": [182, 192, 214, 201]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 204, 53, 213]}, {\"cell\": \"3 (5 %)\", \"bbox\": [182, 204, 206, 213]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 216, 69, 225]}, {\"cell\": \"5 (8 %)\", \"bbox\": [182, 216, 206, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 228, 51, 237]}, {\"cell\": \"36 (51 %)\", \"bbox\": [182, 228, 214, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 240, 38, 249]}, {\"cell\": \"4 (6 %)\", \"bbox\": [182, 240, 206, 249]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 252, 36, 262]}, {\"cell\": \"32 (46 %)\", \"bbox\": [182, 252, 214, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 264, 62, 274]}, {\"cell\": \"14 (20 %)\", \"bbox\": [182, 264, 214, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 276, 72, 286]}, {\"cell\": \"17 (24 %)\", \"bbox\": [182, 276, 214, 286]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 288, 38, 298]}, {\"cell\": \"4 (6 %)\", \"bbox\": [182, 288, 206, 298]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 300, 65, 310]}, {\"cell\": \"10 (14 %)\", \"bbox\": [182, 300, 214, 310]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 312, 62, 322]}, {\"cell\": \"3 (4 %)\", \"bbox\": [182, 312, 206, 322]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 325, 110, 334]}, {\"cell\": \"17 (24 %)\", \"bbox\": [182, 325, 214, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 337, 38, 346]}, {\"cell\": \"7 (10 %)\", \"bbox\": [182, 337, 210, 346]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 349, 79, 358]}, {\"cell\": \"2 (3 %)\", \"bbox\": [182, 349, 206, 358]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 361, 80, 370]}, {\"cell\": \"6 (9 %)\", \"bbox\": [182, 361, 206, 370]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 373, 72, 383]}, {\"cell\": \"2 (3 %)\", \"bbox\": [182, 373, 206, 383]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 385, 115, 395]}, {\"cell\": \"3 (4 %)\", \"bbox\": [182, 385, 206, 395]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4536693_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Casualty roomEmergency department
Jan. 2008 to Dec. 2009Feb. 2010 to Jan. 2012
Cause of deathNumber of death (%)Cause of deathNumber of death (%)
LRTI26 (14.1)[EMPTY_CELL]116 (20.4)
CCF21 (11.4)[EMPTY_CELL]71 (12.5)
HIV19 (10.3)[EMPTY_CELL]56 (9.9)
Malaria17 (9.2)[EMPTY_CELL]51 (9.0)
Septicemia16 (8.7)[EMPTY_CELL]47 (8.3)
Diarrhea disease14 (7.6)[EMPTY_CELL]38 (6.7)
Diabetic coma13 (7.0)[EMPTY_CELL]32 (5.6)
CVA12 (6.5)[EMPTY_CELL]30 (5.3)
Neoplasm11 (6.0)[EMPTY_CELL]29 (5.1)
TB10 (5.4)[EMPTY_CELL]23 (4.0)
Renal failure9 (4.9)[EMPTY_CELL]20 (3.5)
Upper GI bleeding7 (3.8)[EMPTY_CELL]17 (3.0)
Trauma (non-RTA)6 (3.2)[EMPTY_CELL]15 (2.6)
RTA2 (1.1)[EMPTY_CELL]14 (2.5)
Poisoning2 (1.1)[EMPTY_CELL]9 (1.6)
Total185[EMPTY_CELL]568
\", \"cells\": [{\"cell\": \"Casualty room\", \"bbox\": [1, 4, 48, 13]}, {\"cell\": \"Emergency department\", \"bbox\": [279, 4, 357, 13]}, {\"cell\": \"Jan. 2008 to Dec. 2009\", \"bbox\": [1, 17, 75, 27]}, {\"cell\": \"Feb. 2010 to Jan. 2012\", \"bbox\": [279, 17, 353, 27]}, {\"cell\": \"Cause of death\", \"bbox\": [1, 30, 51, 40]}, {\"cell\": \"Number of death (%)\", \"bbox\": [136, 30, 206, 40]}, {\"cell\": \"Cause of death\", \"bbox\": [279, 30, 330, 40]}, {\"cell\": \"Number of death (%)\", \"bbox\": [414, 30, 484, 40]}, {\"cell\": \"LRTI\", \"bbox\": [1, 43, 15, 53]}, {\"cell\": \"26 (14.1)\", \"bbox\": [136, 43, 165, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 43, 294, 53]}, {\"cell\": \"116 (20.4)\", \"bbox\": [414, 43, 447, 53]}, {\"cell\": \"CCF\", \"bbox\": [1, 57, 15, 67]}, {\"cell\": \"21 (11.4)\", \"bbox\": [136, 57, 165, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 57, 294, 67]}, {\"cell\": \"71 (12.5)\", \"bbox\": [414, 57, 443, 67]}, {\"cell\": \"HIV\", \"bbox\": [1, 71, 13, 81]}, {\"cell\": \"19 (10.3)\", \"bbox\": [136, 71, 165, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 71, 292, 81]}, {\"cell\": \"56 (9.9)\", \"bbox\": [414, 71, 440, 81]}, {\"cell\": \"Malaria\", \"bbox\": [1, 85, 25, 95]}, {\"cell\": \"17 (9.2)\", \"bbox\": [136, 85, 161, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 85, 294, 95]}, {\"cell\": \"51 (9.0)\", \"bbox\": [414, 85, 440, 95]}, {\"cell\": \"Septicemia\", \"bbox\": [1, 99, 37, 109]}, {\"cell\": \"16 (8.7)\", \"bbox\": [136, 99, 161, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 99, 339, 109]}, {\"cell\": \"47 (8.3)\", \"bbox\": [414, 99, 440, 109]}, {\"cell\": \"Diarrhea disease\", \"bbox\": [1, 113, 55, 123]}, {\"cell\": \"14 (7.6)\", \"bbox\": [136, 113, 161, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 113, 304, 123]}, {\"cell\": \"38 (6.7)\", \"bbox\": [414, 113, 440, 123]}, {\"cell\": \"Diabetic coma\", \"bbox\": [1, 127, 49, 137]}, {\"cell\": \"13 (7.0)\", \"bbox\": [136, 127, 161, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 127, 294, 137]}, {\"cell\": \"32 (5.6)\", \"bbox\": [414, 127, 440, 137]}, {\"cell\": \"CVA\", \"bbox\": [1, 141, 16, 151]}, {\"cell\": \"12 (6.5)\", \"bbox\": [136, 141, 161, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 141, 341, 151]}, {\"cell\": \"30 (5.3)\", \"bbox\": [414, 141, 440, 151]}, {\"cell\": \"Neoplasm\", \"bbox\": [1, 155, 35, 165]}, {\"cell\": \"11 (6.0)\", \"bbox\": [136, 155, 161, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 155, 328, 165]}, {\"cell\": \"29 (5.1)\", \"bbox\": [414, 155, 440, 165]}, {\"cell\": \"TB\", \"bbox\": [1, 169, 10, 179]}, {\"cell\": \"10 (5.4)\", \"bbox\": [136, 169, 161, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 169, 289, 179]}, {\"cell\": \"23 (4.0)\", \"bbox\": [414, 169, 440, 179]}, {\"cell\": \"Renal failure\", \"bbox\": [1, 183, 41, 193]}, {\"cell\": \"9 (4.9)\", \"bbox\": [136, 183, 157, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 183, 320, 193]}, {\"cell\": \"20 (3.5)\", \"bbox\": [414, 183, 440, 193]}, {\"cell\": \"Upper GI bleeding\", \"bbox\": [1, 197, 62, 207]}, {\"cell\": \"7 (3.8)\", \"bbox\": [136, 197, 157, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 197, 316, 207]}, {\"cell\": \"17 (3.0)\", \"bbox\": [414, 197, 440, 207]}, {\"cell\": \"Trauma (non-RTA)\", \"bbox\": [1, 211, 60, 221]}, {\"cell\": \"6 (3.2)\", \"bbox\": [136, 211, 157, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 211, 314, 221]}, {\"cell\": \"15 (2.6)\", \"bbox\": [414, 211, 440, 221]}, {\"cell\": \"RTA\", \"bbox\": [1, 225, 15, 235]}, {\"cell\": \"2 (1.1)\", \"bbox\": [136, 225, 157, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 225, 322, 235]}, {\"cell\": \"14 (2.5)\", \"bbox\": [414, 225, 440, 235]}, {\"cell\": \"Poisoning\", \"bbox\": [1, 239, 34, 249]}, {\"cell\": \"2 (1.1)\", \"bbox\": [136, 239, 157, 249]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 239, 313, 249]}, {\"cell\": \"9 (1.6)\", \"bbox\": [414, 239, 436, 249]}, {\"cell\": \"Total\", \"bbox\": [1, 253, 18, 263]}, {\"cell\": \"185\", \"bbox\": [136, 253, 149, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 253, 297, 263]}, {\"cell\": \"568\", \"bbox\": [414, 253, 428, 263]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4510107_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Univariate analysisMultivariable analysis
[EMPTY_CELL]HR95% CIsp valueHR95% CIsp value
Gender(men versus women)1.200.58–2.500.62[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Age(each year)1.000.98–1.030.70[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Surgery(done versus not done)0.420.14–1.240.11[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Radiotherapy(done versus not done)0.500.23–1.100.09[EMPTY_CELL]0.03–0.320.0003
Chemotherapy(done versus not done)0.730.33–2.290.79[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
MGMT(each unit increase)0.980.97–1.010.22[EMPTY_CELL]0.94–0.990.0025
MGMT(>19% versus ≤19%)0.590.27–1.280.18[EMPTY_CELL]0.10–0.640.0045
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Univariate analysis\", \"bbox\": [185, 4, 255, 15]}, {\"cell\": \"Multivariable analysis\", \"bbox\": [378, 4, 458, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"HR\", \"bbox\": [141, 17, 155, 28]}, {\"cell\": \"95% CIs\", \"bbox\": [198, 17, 229, 28]}, {\"cell\": \"p value\", \"bbox\": [271, 14, 299, 29]}, {\"cell\": \"HR\", \"bbox\": [339, 17, 354, 28]}, {\"cell\": \"95% CIs\", \"bbox\": [397, 17, 428, 28]}, {\"cell\": \"p value\", \"bbox\": [470, 14, 499, 29]}, {\"cell\": \"Gender(men versus women)\", \"bbox\": [2, 31, 80, 52]}, {\"cell\": \"1.20\", \"bbox\": [140, 35, 156, 46]}, {\"cell\": \"0.58–2.50\", \"bbox\": [195, 35, 232, 46]}, {\"cell\": \"0.62\", \"bbox\": [276, 35, 293, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Age(each year)\", \"bbox\": [2, 54, 44, 75]}, {\"cell\": \"1.00\", \"bbox\": [140, 58, 156, 69]}, {\"cell\": \"0.98–1.03\", \"bbox\": [196, 58, 231, 69]}, {\"cell\": \"0.70\", \"bbox\": [276, 58, 293, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Surgery(done versus not done)\", \"bbox\": [2, 77, 87, 98]}, {\"cell\": \"0.42\", \"bbox\": [139, 81, 156, 92]}, {\"cell\": \"0.14–1.24\", \"bbox\": [197, 81, 231, 92]}, {\"cell\": \"0.11\", \"bbox\": [278, 81, 292, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Radiotherapy(done versus not done)\", \"bbox\": [2, 100, 87, 121]}, {\"cell\": \"0.50\", \"bbox\": [139, 104, 156, 115]}, {\"cell\": \"0.23–1.10\", \"bbox\": [197, 104, 230, 115]}, {\"cell\": \"0.09\", \"bbox\": [276, 104, 294, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 104, 354, 115]}, {\"cell\": \"0.03–0.32\", \"bbox\": [395, 104, 431, 115]}, {\"cell\": \"0.0003\", \"bbox\": [471, 104, 498, 112]}, {\"cell\": \"Chemotherapy(done versus not done)\", \"bbox\": [2, 122, 87, 144]}, {\"cell\": \"0.73\", \"bbox\": [139, 127, 156, 138]}, {\"cell\": \"0.33–2.29\", \"bbox\": [196, 127, 231, 138]}, {\"cell\": \"0.79\", \"bbox\": [276, 127, 293, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"MGMT(each unit increase)\", \"bbox\": [2, 145, 75, 167]}, {\"cell\": \"0.98\", \"bbox\": [139, 150, 156, 160]}, {\"cell\": \"0.97–1.01\", \"bbox\": [197, 150, 230, 160]}, {\"cell\": \"0.22\", \"bbox\": [276, 150, 293, 160]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [338, 150, 355, 160]}, {\"cell\": \"0.94–0.99\", \"bbox\": [394, 150, 431, 160]}, {\"cell\": \"0.0025\", \"bbox\": [471, 150, 498, 158]}, {\"cell\": \"MGMT(>19% versus ≤19%)\", \"bbox\": [2, 169, 76, 191]}, {\"cell\": \"0.59\", \"bbox\": [139, 173, 156, 184]}, {\"cell\": \"0.27–1.28\", \"bbox\": [196, 173, 231, 184]}, {\"cell\": \"0.18\", \"bbox\": [277, 173, 293, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [338, 173, 355, 184]}, {\"cell\": \"0.10–0.64\", \"bbox\": [395, 173, 431, 184]}, {\"cell\": \"0.0045\", \"bbox\": [471, 173, 498, 182]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4548097_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
CharacteristicTotal (n = 845)Males (n = 503)Females (n = 342)
Age (years)[EMPTY_CELL]6.9 ± 1.47.1 ± 1.1
Birth weight (kg)[EMPTY_CELL]3.6 ± 0.63.5 ± 0.6
Birth length (cm)[EMPTY_CELL]51.2 ± 2.650.4 ± 2.5
Gestational age (days)[EMPTY_CELL]279.2 ± 12.6278.3 ± 14.0
WGA (%)[EMPTY_CELL]−0.8 ± 12.7−0.2 ± 13.3
Height (cm)[EMPTY_CELL]124.4 ± 10.1124.7 ± 8.6
Weight (kg)[EMPTY_CELL]24.6 ± 5.624.9 ± 4.9
BMI (kg/m2)[EMPTY_CELL]15.7 ± 1.615.9 ± 1.8
BSA (m2)[EMPTY_CELL]0.9 ± 0.10.9 ± 0.1
Thyroid volume (mL)[EMPTY_CELL]3.1 ± 1.13.1 ± 0.9
Urinary creatinine (g/L)[EMPTY_CELL]0.7 ± 0.40.7 ± 0.4
Urinary iodine (μg/L)[EMPTY_CELL]232.6 ± 131.5200.4 ± 119.9
Corrected urinary iodine (μg/g creatinine)[EMPTY_CELL]337.8 ± 178.2319.7 ± 177.5
Maternal parity [n (%)]
1[EMPTY_CELL]317 (63)207 (61)
2[EMPTY_CELL]143 (28)104 (31)
> 2[EMPTY_CELL]43 (9)29 (8)
Outcome
Singletons[EMPTY_CELL]478 (95)325 (95)
Twins[EMPTY_CELL]25 (5)17 (5)
\", \"cells\": [{\"cell\": \"Characteristic\", \"bbox\": [2, 3, 44, 13]}, {\"cell\": \"Total (n = 845)\", \"bbox\": [149, 3, 192, 13]}, {\"cell\": \"Males (n = 503)\", \"bbox\": [216, 3, 263, 13]}, {\"cell\": \"Females (n = 342)\", \"bbox\": [287, 3, 340, 13]}, {\"cell\": \"Age (years)\", \"bbox\": [2, 15, 37, 25]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [156, 15, 183, 25]}, {\"cell\": \"6.9 ± 1.4\", \"bbox\": [226, 15, 253, 25]}, {\"cell\": \"7.1 ± 1.1\", \"bbox\": [298, 15, 325, 25]}, {\"cell\": \"Birth weight (kg)\", \"bbox\": [2, 24, 52, 34]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [156, 24, 183, 34]}, {\"cell\": \"3.6 ± 0.6\", \"bbox\": [226, 24, 253, 34]}, {\"cell\": \"3.5 ± 0.6\", \"bbox\": [298, 24, 325, 34]}, {\"cell\": \"Birth length (cm)\", \"bbox\": [2, 34, 52, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 34, 183, 43]}, {\"cell\": \"51.2 ± 2.6\", \"bbox\": [223, 34, 253, 43]}, {\"cell\": \"50.4 ± 2.5\", \"bbox\": [295, 34, 325, 43]}, {\"cell\": \"Gestational age (days)\", \"bbox\": [2, 43, 69, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [149, 43, 187, 53]}, {\"cell\": \"279.2 ± 12.6\", \"bbox\": [219, 43, 257, 53]}, {\"cell\": \"278.3 ± 14.0\", \"bbox\": [291, 43, 329, 53]}, {\"cell\": \"WGA (%)\", \"bbox\": [2, 52, 32, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [152, 52, 187, 62]}, {\"cell\": \"−0.8 ± 12.7\", \"bbox\": [222, 52, 257, 62]}, {\"cell\": \"−0.2 ± 13.3\", \"bbox\": [294, 52, 329, 62]}, {\"cell\": \"Height (cm)\", \"bbox\": [2, 62, 37, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [149, 62, 183, 71]}, {\"cell\": \"124.4 ± 10.1\", \"bbox\": [219, 62, 257, 71]}, {\"cell\": \"124.7 ± 8.6\", \"bbox\": [291, 62, 325, 71]}, {\"cell\": \"Weight (kg)\", \"bbox\": [2, 71, 38, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 71, 183, 80]}, {\"cell\": \"24.6 ± 5.6\", \"bbox\": [223, 71, 253, 80]}, {\"cell\": \"24.9 ± 4.9\", \"bbox\": [295, 71, 325, 80]}, {\"cell\": \"BMI (kg/m2)\", \"bbox\": [2, 79, 39, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 80, 183, 90]}, {\"cell\": \"15.7 ± 1.6\", \"bbox\": [223, 80, 253, 90]}, {\"cell\": \"15.9 ± 1.8\", \"bbox\": [295, 80, 325, 90]}, {\"cell\": \"BSA (m2)\", \"bbox\": [2, 88, 30, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [156, 89, 183, 99]}, {\"cell\": \"0.9 ± 0.1\", \"bbox\": [226, 89, 253, 99]}, {\"cell\": \"0.9 ± 0.1\", \"bbox\": [298, 89, 325, 99]}, {\"cell\": \"Thyroid volume (mL)\", \"bbox\": [2, 99, 62, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [156, 99, 183, 108]}, {\"cell\": \"3.1 ± 1.1\", \"bbox\": [226, 99, 253, 108]}, {\"cell\": \"3.1 ± 0.9\", \"bbox\": [298, 99, 325, 108]}, {\"cell\": \"Urinary creatinine (g/L)\", \"bbox\": [2, 108, 71, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [156, 108, 183, 118]}, {\"cell\": \"0.7 ± 0.4\", \"bbox\": [226, 108, 253, 118]}, {\"cell\": \"0.7 ± 0.4\", \"bbox\": [298, 108, 325, 118]}, {\"cell\": \"Urinary iodine (μg/L)\", \"bbox\": [2, 117, 63, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [149, 117, 190, 127]}, {\"cell\": \"232.6 ± 131.5\", \"bbox\": [219, 117, 260, 127]}, {\"cell\": \"200.4 ± 119.9\", \"bbox\": [291, 117, 332, 127]}, {\"cell\": \"Corrected urinary iodine (μg/g creatinine)\", \"bbox\": [2, 127, 123, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [149, 127, 190, 136]}, {\"cell\": \"337.8 ± 178.2\", \"bbox\": [219, 127, 260, 136]}, {\"cell\": \"319.7 ± 177.5\", \"bbox\": [291, 127, 332, 136]}, {\"cell\": \"Maternal parity [n (%)]\", \"bbox\": [2, 136, 70, 145]}, {\"cell\": \" 1\", \"bbox\": [6, 145, 12, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 145, 183, 155]}, {\"cell\": \"317 (63)\", \"bbox\": [227, 145, 252, 155]}, {\"cell\": \"207 (61)\", \"bbox\": [299, 145, 325, 155]}, {\"cell\": \" 2\", \"bbox\": [6, 155, 12, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 155, 183, 164]}, {\"cell\": \"143 (28)\", \"bbox\": [227, 155, 252, 164]}, {\"cell\": \"104 (31)\", \"bbox\": [299, 155, 325, 164]}, {\"cell\": \" > 2\", \"bbox\": [6, 164, 17, 173]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [162, 164, 180, 173]}, {\"cell\": \"43 (9)\", \"bbox\": [230, 164, 248, 173]}, {\"cell\": \"29 (8)\", \"bbox\": [303, 164, 321, 173]}, {\"cell\": \"Outcome\", \"bbox\": [2, 173, 30, 183]}, {\"cell\": \" Singletons\", \"bbox\": [6, 182, 39, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 182, 183, 192]}, {\"cell\": \"478 (95)\", \"bbox\": [227, 182, 252, 192]}, {\"cell\": \"325 (95)\", \"bbox\": [299, 182, 325, 192]}, {\"cell\": \" Twins\", \"bbox\": [6, 192, 26, 201]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [162, 192, 180, 201]}, {\"cell\": \"25 (5)\", \"bbox\": [230, 192, 248, 201]}, {\"cell\": \"17 (5)\", \"bbox\": [303, 192, 321, 201]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2957929_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
ParametersMultivariable-adjusted model
Odds ratio95%CI
[EMPTY_CELL]
[EMPTY_CELL]1.00 [Reference]
[EMPTY_CELL]1.441.36–1.52
[EMPTY_CELL]
[EMPTY_CELL]1.00 [Reference]
[EMPTY_CELL]1.131.02–1.24
[EMPTY_CELL]0.860.78–0.95
[EMPTY_CELL]0.550.49–0.62
[EMPTY_CELL]
[EMPTY_CELL]1.00 [Reference]
[EMPTY_CELL]1.141.06–1.22
[EMPTY_CELL]1.121.06–1.19
[EMPTY_CELL]1.171.05–1.19
[EMPTY_CELL]
[EMPTY_CELL]1.00 [Reference]
[EMPTY_CELL]1.121.06–1.19
[EMPTY_CELL]
[EMPTY_CELL]1.00 [Reference]
[EMPTY_CELL]1.091.09–1.27
[EMPTY_CELL]1.181.01–1.17
[EMPTY_CELL]
[EMPTY_CELL]1.010.83–1.23
[EMPTY_CELL]1.121.06–1.26
[EMPTY_CELL]1.120.99–1.34
[EMPTY_CELL]1.561.48–1.64
[EMPTY_CELL]1.030.97–1.09
[EMPTY_CELL]1.251.17–1.34
[EMPTY_CELL]1.421.28–1.56
[EMPTY_CELL]2.001.81–2.21
[EMPTY_CELL]1.271.13–1.42
[EMPTY_CELL]2.792.65–2.95
[EMPTY_CELL]2.932.72–3.15
\", \"cells\": [{\"cell\": \"Parameters\", \"bbox\": [1, 4, 38, 13]}, {\"cell\": \"Multivariable-adjusted model\", \"bbox\": [121, 4, 216, 13]}, {\"cell\": \"Odds ratio\", \"bbox\": [121, 17, 157, 27]}, {\"cell\": \"95%CI\", \"bbox\": [193, 17, 215, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 30, 26, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 44, 26, 54]}, {\"cell\": \"1.00 [Reference]\", \"bbox\": [121, 44, 174, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 58, 34, 68]}, {\"cell\": \"1.44\", \"bbox\": [121, 58, 136, 68]}, {\"cell\": \"1.36–1.52\", \"bbox\": [193, 58, 224, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 72, 25, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 86, 26, 96]}, {\"cell\": \"1.00 [Reference]\", \"bbox\": [121, 86, 174, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 100, 30, 110]}, {\"cell\": \"1.13\", \"bbox\": [121, 100, 136, 110]}, {\"cell\": \"1.02–1.24\", \"bbox\": [193, 100, 224, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 114, 30, 124]}, {\"cell\": \"0.86\", \"bbox\": [121, 114, 136, 124]}, {\"cell\": \"0.78–0.95\", \"bbox\": [193, 114, 224, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 128, 27, 138]}, {\"cell\": \"0.55\", \"bbox\": [121, 128, 136, 138]}, {\"cell\": \"0.49–0.62\", \"bbox\": [193, 128, 224, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 142, 58, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 156, 29, 166]}, {\"cell\": \"1.00 [Reference]\", \"bbox\": [121, 156, 174, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 170, 33, 180]}, {\"cell\": \"1.14\", \"bbox\": [121, 170, 136, 180]}, {\"cell\": \"1.06–1.22\", \"bbox\": [193, 170, 224, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 184, 29, 194]}, {\"cell\": \"1.12\", \"bbox\": [121, 184, 136, 194]}, {\"cell\": \"1.06–1.19\", \"bbox\": [193, 184, 224, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 198, 23, 208]}, {\"cell\": \"1.17\", \"bbox\": [121, 198, 136, 208]}, {\"cell\": \"1.05–1.19\", \"bbox\": [193, 198, 224, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 212, 60, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 226, 30, 236]}, {\"cell\": \"1.00 [Reference]\", \"bbox\": [121, 226, 174, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 240, 26, 250]}, {\"cell\": \"1.12\", \"bbox\": [121, 240, 136, 250]}, {\"cell\": \"1.06–1.19\", \"bbox\": [193, 240, 224, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 254, 101, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 268, 39, 278]}, {\"cell\": \"1.00 [Reference]\", \"bbox\": [121, 268, 174, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 282, 39, 292]}, {\"cell\": \"1.09\", \"bbox\": [121, 282, 136, 292]}, {\"cell\": \"1.09–1.27\", \"bbox\": [193, 282, 224, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 296, 47, 306]}, {\"cell\": \"1.18\", \"bbox\": [121, 296, 136, 306]}, {\"cell\": \"1.01–1.17\", \"bbox\": [193, 296, 224, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 310, 75, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 324, 77, 334]}, {\"cell\": \"1.01\", \"bbox\": [121, 324, 136, 334]}, {\"cell\": \"0.83–1.23\", \"bbox\": [193, 324, 224, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 338, 86, 348]}, {\"cell\": \"1.12\", \"bbox\": [121, 338, 136, 348]}, {\"cell\": \"1.06–1.26\", \"bbox\": [193, 338, 224, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 352, 95, 362]}, {\"cell\": \"1.12\", \"bbox\": [121, 352, 136, 362]}, {\"cell\": \"0.99–1.34\", \"bbox\": [193, 352, 224, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 366, 87, 376]}, {\"cell\": \"1.56\", \"bbox\": [121, 366, 136, 376]}, {\"cell\": \"1.48–1.64\", \"bbox\": [193, 366, 224, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 380, 98, 390]}, {\"cell\": \"1.03\", \"bbox\": [121, 380, 136, 390]}, {\"cell\": \"0.97–1.09\", \"bbox\": [193, 380, 224, 390]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 394, 73, 404]}, {\"cell\": \"1.25\", \"bbox\": [121, 394, 136, 404]}, {\"cell\": \"1.17–1.34\", \"bbox\": [193, 394, 224, 404]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 408, 65, 418]}, {\"cell\": \"1.42\", \"bbox\": [121, 408, 136, 418]}, {\"cell\": \"1.28–1.56\", \"bbox\": [193, 408, 224, 418]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 422, 53, 432]}, {\"cell\": \"2.00\", \"bbox\": [121, 422, 136, 432]}, {\"cell\": \"1.81–2.21\", \"bbox\": [193, 422, 224, 432]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 436, 32, 446]}, {\"cell\": \"1.27\", \"bbox\": [121, 436, 136, 446]}, {\"cell\": \"1.13–1.42\", \"bbox\": [193, 436, 224, 446]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 450, 53, 460]}, {\"cell\": \"2.79\", \"bbox\": [121, 450, 136, 460]}, {\"cell\": \"2.65–2.95\", \"bbox\": [193, 450, 224, 460]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 464, 59, 474]}, {\"cell\": \"2.93\", \"bbox\": [121, 464, 136, 474]}, {\"cell\": \"2.72–3.15\", \"bbox\": [193, 464, 224, 474]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC6033220_002_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Project/CriteriaShaman's Clinic & MM Clinic (Suriname)Comadronas Midwifery (Guatemala)Makewe Hospital/Boroa (Chile)Jambi Hausi/Midwife and Yachac Associations (Ecuador)CRIC/AIC/IPS (Colombia)
Impactpmnmpmpm[EMPTY_CELL]
Sustainabilitypmnmpmpm[EMPTY_CELL]
Responsiveness and Relevantmpmmpm[EMPTY_CELL]
Client Focusmpmmm[EMPTY_CELL]
Accessmpmmm (urban)[EMPTY_CELL]
Coordination & Integrationmnmmpm[EMPTY_CELL]
Efficiency & Flexibilitypmpmpmpm[EMPTY_CELL]
Leadershippmpmmm[EMPTY_CELL]
Innovationmpmmm[EMPTY_CELL]
Potential for Replicationpmpmpmpm[EMPTY_CELL]
Health/Policy Identification or Resolutionpmpmmpm[EMPTY_CELL]
Capacity for Evaluationpmnmpmnm[EMPTY_CELL]
Criterion[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
m = met5074[EMPTY_CELL]
pm = partially met7857[EMPTY_CELL]
nm = not met0401[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Project/Criteria\", \"bbox\": [4, 5, 67, 14]}, {\"cell\": \"Shaman's Clinic & MM Clinic (Suriname)\", \"bbox\": [88, 4, 163, 23]}, {\"cell\": \"Comadronas Midwifery (Guatemala)\", \"bbox\": [187, 4, 232, 33]}, {\"cell\": \"Makewe Hospital/Boroa (Chile)\", \"bbox\": [262, 4, 324, 23]}, {\"cell\": \"Jambi Hausi/Midwife and Yachac Associations (Ecuador)\", \"bbox\": [341, 4, 410, 42]}, {\"cell\": \"CRIC/AIC/IPS (Colombia)\", \"bbox\": [434, 4, 483, 23]}, {\"cell\": \"Impact\", \"bbox\": [4, 55, 34, 64]}, {\"cell\": \"pm\", \"bbox\": [120, 54, 132, 64]}, {\"cell\": \"nm\", \"bbox\": [203, 54, 216, 64]}, {\"cell\": \"pm\", \"bbox\": [286, 54, 299, 64]}, {\"cell\": \"pm\", \"bbox\": [369, 54, 382, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [453, 54, 465, 64]}, {\"cell\": \"Sustainability\", \"bbox\": [4, 65, 58, 74]}, {\"cell\": \"pm\", \"bbox\": [120, 65, 132, 74]}, {\"cell\": \"nm\", \"bbox\": [203, 65, 216, 74]}, {\"cell\": \"pm\", \"bbox\": [286, 65, 299, 74]}, {\"cell\": \"pm\", \"bbox\": [369, 65, 382, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 65, 463, 74]}, {\"cell\": \"Responsiveness and Relevant\", \"bbox\": [4, 75, 81, 94]}, {\"cell\": \"m\", \"bbox\": [122, 75, 130, 85]}, {\"cell\": \"pm\", \"bbox\": [203, 75, 216, 85]}, {\"cell\": \"m\", \"bbox\": [288, 75, 297, 85]}, {\"cell\": \"pm\", \"bbox\": [369, 75, 382, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 75, 463, 85]}, {\"cell\": \"Client Focus\", \"bbox\": [4, 95, 55, 104]}, {\"cell\": \"m\", \"bbox\": [122, 94, 130, 104]}, {\"cell\": \"pm\", \"bbox\": [203, 94, 216, 104]}, {\"cell\": \"m\", \"bbox\": [288, 94, 297, 104]}, {\"cell\": \"m\", \"bbox\": [371, 94, 380, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 94, 463, 104]}, {\"cell\": \"Access\", \"bbox\": [4, 105, 33, 114]}, {\"cell\": \"m\", \"bbox\": [122, 105, 130, 114]}, {\"cell\": \"pm\", \"bbox\": [203, 105, 216, 114]}, {\"cell\": \"m\", \"bbox\": [288, 105, 297, 114]}, {\"cell\": \"m (urban)\", \"bbox\": [358, 105, 393, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 105, 463, 114]}, {\"cell\": \"Coordination & Integration\", \"bbox\": [4, 115, 66, 134]}, {\"cell\": \"m\", \"bbox\": [122, 115, 130, 125]}, {\"cell\": \"nm\", \"bbox\": [203, 115, 216, 125]}, {\"cell\": \"m\", \"bbox\": [288, 115, 297, 125]}, {\"cell\": \"pm\", \"bbox\": [369, 115, 382, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 115, 463, 125]}, {\"cell\": \"Efficiency & Flexibility\", \"bbox\": [4, 135, 51, 153]}, {\"cell\": \"pm\", \"bbox\": [120, 134, 132, 144]}, {\"cell\": \"pm\", \"bbox\": [203, 134, 216, 144]}, {\"cell\": \"pm\", \"bbox\": [286, 134, 299, 144]}, {\"cell\": \"pm\", \"bbox\": [369, 134, 382, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [453, 134, 465, 144]}, {\"cell\": \"Leadership\", \"bbox\": [4, 154, 49, 164]}, {\"cell\": \"pm\", \"bbox\": [120, 154, 132, 164]}, {\"cell\": \"pm\", \"bbox\": [203, 154, 216, 164]}, {\"cell\": \"m\", \"bbox\": [288, 154, 297, 164]}, {\"cell\": \"m\", \"bbox\": [371, 154, 380, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 154, 463, 164]}, {\"cell\": \"Innovation\", \"bbox\": [4, 164, 48, 174]}, {\"cell\": \"m\", \"bbox\": [122, 164, 130, 174]}, {\"cell\": \"pm\", \"bbox\": [203, 164, 216, 174]}, {\"cell\": \"m\", \"bbox\": [288, 164, 297, 174]}, {\"cell\": \"m\", \"bbox\": [371, 164, 380, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 164, 463, 174]}, {\"cell\": \"Potential for Replication\", \"bbox\": [4, 175, 55, 193]}, {\"cell\": \"pm\", \"bbox\": [120, 174, 132, 184]}, {\"cell\": \"pm\", \"bbox\": [203, 174, 216, 184]}, {\"cell\": \"pm\", \"bbox\": [286, 174, 299, 184]}, {\"cell\": \"pm\", \"bbox\": [369, 174, 382, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [453, 174, 465, 184]}, {\"cell\": \"Health/Policy Identification or Resolution\", \"bbox\": [4, 194, 68, 222]}, {\"cell\": \"pm\", \"bbox\": [120, 194, 132, 204]}, {\"cell\": \"pm\", \"bbox\": [203, 194, 216, 204]}, {\"cell\": \"m\", \"bbox\": [288, 194, 297, 204]}, {\"cell\": \"pm\", \"bbox\": [369, 194, 382, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 194, 463, 204]}, {\"cell\": \"Capacity for Evaluation\", \"bbox\": [4, 223, 54, 242]}, {\"cell\": \"pm\", \"bbox\": [120, 223, 132, 232]}, {\"cell\": \"nm\", \"bbox\": [203, 223, 216, 232]}, {\"cell\": \"pm\", \"bbox\": [286, 223, 299, 232]}, {\"cell\": \"nm\", \"bbox\": [369, 223, 382, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [453, 223, 465, 232]}, {\"cell\": \"Criterion\", \"bbox\": [4, 242, 42, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"m = met\", \"bbox\": [4, 253, 40, 262]}, {\"cell\": \"5\", \"bbox\": [123, 252, 129, 262]}, {\"cell\": \"0\", \"bbox\": [206, 252, 212, 262]}, {\"cell\": \"7\", \"bbox\": [289, 252, 296, 262]}, {\"cell\": \"4\", \"bbox\": [373, 252, 379, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [456, 252, 462, 262]}, {\"cell\": \"pm = partially met\", \"bbox\": [4, 263, 78, 272]}, {\"cell\": \"7\", \"bbox\": [123, 263, 129, 272]}, {\"cell\": \"8\", \"bbox\": [206, 263, 212, 272]}, {\"cell\": \"5\", \"bbox\": [289, 263, 296, 272]}, {\"cell\": \"7\", \"bbox\": [373, 263, 379, 272]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [456, 263, 462, 272]}, {\"cell\": \"nm = not met\", \"bbox\": [4, 273, 60, 283]}, {\"cell\": \"0\", \"bbox\": [123, 273, 129, 283]}, {\"cell\": \"4\", \"bbox\": [206, 273, 212, 283]}, {\"cell\": \"0\", \"bbox\": [289, 273, 296, 283]}, {\"cell\": \"1\", \"bbox\": [373, 273, 379, 283]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [456, 273, 462, 283]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2000867_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariableCases/Total (No. of studies)Pooled prevalence prior to 2-week period (%)95%CI of prevalence (%)Annual incidence per person-yeara95%CI of incidence per person-yearQ-value (p-value)
Overall20,134/911240 (n = 35)2.041.48–2.790.530.38–0.73[EMPTY_CELL]
Gender
Male3428/196522 (n = 15)2.221.30–3.770.580.34–0.98[EMPTY_CELL]
Female3234/202362 (n = 15)2.001.18–3.370.520.31–0.88[EMPTY_CELL]
Age group (year)
0–43832/43463 (16)5.513.76–8.011.430.98–2.08[EMPTY_CELL]
5–143095/103720 (16)2.101.38–3.180.550.36–0.83[EMPTY_CELL]
≥1510,325/496007 (16)2.011.28–3.140.520.33–0.82[EMPTY_CELL]
Time period
1980–198912,142/243664 (n = 11)3.172.23–4.490.820.60–1.27[EMPTY_CELL]
1990–19991524/94874 (n = 3)1.890.86–4.130.490.22–1.07[EMPTY_CELL]
2000–20126066/506591 (n = 19)1.841.34–2.530.480.35–0.66[EMPTY_CELL]
Study area
Urban2510/267115 (n = 14)1.280.80–2.060.330.21–0.54[EMPTY_CELL]
Rural9445/486495 (n = 27)1.941.38–2.720.500.36–0.71[EMPTY_CELL]
East4800/415033 (n = 20)1.481.11–1.970.380.29–0.51[EMPTY_CELL]
Central2704/109382 (n = 4)1.850.75–4.460.480.20–1.16[EMPTY_CELL]
West4616/248613 (n = 11)2.641.32–5.220.690.34–1.36[EMPTY_CELL]
South7107/580306 (n = 25)1.611.18–2.210.420.47–0.55[EMPTY_CELL]
North5013/192722 (n = 10)2.521.37–4.580.660.36–1.19[EMPTY_CELL]
Season
Spring1885/135064 (n = 9)0.820.41–1.630.200.11–0.42[EMPTY_CELL]
Summer15,131/440994 (n = 26)2.331.71–3.160.610.44–0.82[EMPTY_CELL]
Autumn1214/113349 (n = 9)1.020.70–1.490.270.18–0.39[EMPTY_CELL]
Winter1080/132643 (n = 12)0.940.77–1.150.240.20–0.30[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Variable\", \"bbox\": [1, 4, 27, 13]}, {\"cell\": \"Cases/Total (No. of studies)\", \"bbox\": [55, 4, 105, 22]}, {\"cell\": \"Pooled prevalence prior to 2-week period (%)\", \"bbox\": [138, 4, 217, 22]}, {\"cell\": \"95%CI of prevalence (%)\", \"bbox\": [226, 4, 275, 22]}, {\"cell\": \"Annual incidence per person-yeara\", \"bbox\": [285, 4, 343, 22]}, {\"cell\": \"95%CI of incidence per person-year\", \"bbox\": [352, 4, 415, 22]}, {\"cell\": \"Q-value (p-value)\", \"bbox\": [425, 4, 481, 13]}, {\"cell\": \"Overall\", \"bbox\": [1, 26, 24, 36]}, {\"cell\": \"20,134/911240 (n = 35)\", \"bbox\": [55, 26, 129, 36]}, {\"cell\": \"2.04\", \"bbox\": [138, 26, 153, 36]}, {\"cell\": \"1.48–2.79\", \"bbox\": [226, 26, 258, 36]}, {\"cell\": \"0.53\", \"bbox\": [285, 26, 300, 36]}, {\"cell\": \"0.38–0.73\", \"bbox\": [352, 26, 383, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [425, 26, 479, 36]}, {\"cell\": \"Gender\", \"bbox\": [1, 40, 26, 50]}, {\"cell\": \" Male\", \"bbox\": [8, 54, 26, 64]}, {\"cell\": \"3428/196522 (n = 15)\", \"bbox\": [55, 54, 124, 64]}, {\"cell\": \"2.22\", \"bbox\": [138, 54, 153, 64]}, {\"cell\": \"1.30–3.77\", \"bbox\": [226, 54, 258, 64]}, {\"cell\": \"0.58\", \"bbox\": [285, 54, 300, 64]}, {\"cell\": \"0.34–0.98\", \"bbox\": [352, 54, 383, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [425, 54, 474, 64]}, {\"cell\": \" Female\", \"bbox\": [8, 68, 34, 78]}, {\"cell\": \"3234/202362 (n = 15)\", \"bbox\": [55, 68, 124, 78]}, {\"cell\": \"2.00\", \"bbox\": [138, 68, 153, 78]}, {\"cell\": \"1.18–3.37\", \"bbox\": [226, 68, 258, 78]}, {\"cell\": \"0.52\", \"bbox\": [285, 68, 300, 78]}, {\"cell\": \"0.31–0.88\", \"bbox\": [352, 68, 383, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [425, 68, 474, 78]}, {\"cell\": \"Age group (year)\", \"bbox\": [1, 82, 57, 92]}, {\"cell\": \" 0–4\", \"bbox\": [8, 96, 22, 106]}, {\"cell\": \"3832/43463 (16)\", \"bbox\": [55, 96, 108, 106]}, {\"cell\": \"5.51\", \"bbox\": [138, 96, 153, 106]}, {\"cell\": \"3.76–8.01\", \"bbox\": [226, 96, 258, 106]}, {\"cell\": \"1.43\", \"bbox\": [285, 96, 300, 106]}, {\"cell\": \"0.98–2.08\", \"bbox\": [352, 96, 383, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [425, 96, 484, 106]}, {\"cell\": \" 5–14\", \"bbox\": [8, 110, 26, 120]}, {\"cell\": \"3095/103720 (16)\", \"bbox\": [55, 110, 112, 120]}, {\"cell\": \"2.10\", \"bbox\": [138, 110, 153, 120]}, {\"cell\": \"1.38–3.18\", \"bbox\": [226, 110, 258, 120]}, {\"cell\": \"0.55\", \"bbox\": [285, 110, 300, 120]}, {\"cell\": \"0.36–0.83\", \"bbox\": [352, 110, 383, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [425, 110, 484, 120]}, {\"cell\": \" ≥15\", \"bbox\": [8, 124, 23, 134]}, {\"cell\": \"10,325/496007 (16)\", \"bbox\": [55, 124, 117, 134]}, {\"cell\": \"2.01\", \"bbox\": [138, 124, 153, 134]}, {\"cell\": \"1.28–3.14\", \"bbox\": [226, 124, 258, 134]}, {\"cell\": \"0.52\", \"bbox\": [285, 124, 300, 134]}, {\"cell\": \"0.33–0.82\", \"bbox\": [352, 124, 383, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [425, 124, 484, 134]}, {\"cell\": \"Time period\", \"bbox\": [1, 138, 41, 148]}, {\"cell\": \" 1980–1989\", \"bbox\": [8, 152, 45, 162]}, {\"cell\": \"12,142/243664 (n = 11)\", \"bbox\": [55, 152, 129, 162]}, {\"cell\": \"3.17\", \"bbox\": [138, 152, 153, 162]}, {\"cell\": \"2.23–4.49\", \"bbox\": [226, 152, 258, 162]}, {\"cell\": \"0.82\", \"bbox\": [285, 152, 300, 162]}, {\"cell\": \"0.60–1.27\", \"bbox\": [352, 152, 383, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [425, 152, 474, 162]}, {\"cell\": \" 1990–1999\", \"bbox\": [9, 166, 45, 176]}, {\"cell\": \"1524/94874 (n = 3)\", \"bbox\": [55, 166, 116, 176]}, {\"cell\": \"1.89\", \"bbox\": [138, 166, 153, 176]}, {\"cell\": \"0.86–4.13\", \"bbox\": [226, 166, 258, 176]}, {\"cell\": \"0.49\", \"bbox\": [285, 166, 300, 176]}, {\"cell\": \"0.22–1.07\", \"bbox\": [352, 166, 383, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [425, 166, 471, 176]}, {\"cell\": \" 2000–2012\", \"bbox\": [9, 180, 45, 190]}, {\"cell\": \"6066/506591 (n = 19)\", \"bbox\": [55, 180, 124, 190]}, {\"cell\": \"1.84\", \"bbox\": [138, 180, 153, 190]}, {\"cell\": \"1.34–2.53\", \"bbox\": [226, 180, 258, 190]}, {\"cell\": \"0.48\", \"bbox\": [285, 180, 300, 190]}, {\"cell\": \"0.35–0.66\", \"bbox\": [352, 180, 383, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [425, 180, 474, 190]}, {\"cell\": \"Study area\", \"bbox\": [1, 194, 36, 204]}, {\"cell\": \" Urban\", \"bbox\": [9, 208, 30, 218]}, {\"cell\": \"2510/267115 (n = 14)\", \"bbox\": [55, 208, 124, 218]}, {\"cell\": \"1.28\", \"bbox\": [138, 208, 153, 218]}, {\"cell\": \"0.80–2.06\", \"bbox\": [226, 208, 258, 218]}, {\"cell\": \"0.33\", \"bbox\": [285, 208, 300, 218]}, {\"cell\": \"0.21–0.54\", \"bbox\": [352, 208, 383, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [425, 208, 474, 218]}, {\"cell\": \" Rural\", \"bbox\": [9, 222, 26, 232]}, {\"cell\": \"9445/486495 (n = 27)\", \"bbox\": [55, 222, 124, 232]}, {\"cell\": \"1.94\", \"bbox\": [138, 222, 153, 232]}, {\"cell\": \"1.38–2.72\", \"bbox\": [226, 222, 258, 232]}, {\"cell\": \"0.50\", \"bbox\": [285, 222, 300, 232]}, {\"cell\": \"0.36–0.71\", \"bbox\": [352, 222, 383, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [425, 222, 474, 232]}, {\"cell\": \" East\", \"bbox\": [9, 236, 23, 246]}, {\"cell\": \"4800/415033 (n = 20)\", \"bbox\": [55, 236, 124, 246]}, {\"cell\": \"1.48\", \"bbox\": [138, 236, 153, 246]}, {\"cell\": \"1.11–1.97\", \"bbox\": [226, 236, 258, 246]}, {\"cell\": \"0.38\", \"bbox\": [285, 236, 300, 246]}, {\"cell\": \"0.29–0.51\", \"bbox\": [352, 236, 383, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [425, 236, 474, 246]}, {\"cell\": \" Central\", \"bbox\": [9, 250, 33, 260]}, {\"cell\": \"2704/109382 (n = 4)\", \"bbox\": [55, 250, 120, 260]}, {\"cell\": \"1.85\", \"bbox\": [138, 250, 153, 260]}, {\"cell\": \"0.75–4.46\", \"bbox\": [226, 250, 258, 260]}, {\"cell\": \"0.48\", \"bbox\": [285, 250, 300, 260]}, {\"cell\": \"0.20–1.16\", \"bbox\": [352, 250, 383, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [425, 250, 474, 260]}, {\"cell\": \" West\", \"bbox\": [8, 264, 26, 274]}, {\"cell\": \"4616/248613 (n = 11)\", \"bbox\": [55, 264, 124, 274]}, {\"cell\": \"2.64\", \"bbox\": [138, 264, 153, 274]}, {\"cell\": \"1.32–5.22\", \"bbox\": [226, 264, 258, 274]}, {\"cell\": \"0.69\", \"bbox\": [285, 264, 300, 274]}, {\"cell\": \"0.34–1.36\", \"bbox\": [352, 264, 383, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [425, 264, 474, 274]}, {\"cell\": \" South\", \"bbox\": [8, 278, 29, 288]}, {\"cell\": \"7107/580306 (n = 25)\", \"bbox\": [55, 278, 124, 288]}, {\"cell\": \"1.61\", \"bbox\": [138, 278, 153, 288]}, {\"cell\": \"1.18–2.21\", \"bbox\": [226, 278, 258, 288]}, {\"cell\": \"0.42\", \"bbox\": [285, 278, 300, 288]}, {\"cell\": \"0.47–0.55\", \"bbox\": [352, 278, 383, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [425, 278, 474, 288]}, {\"cell\": \" North\", \"bbox\": [8, 292, 29, 302]}, {\"cell\": \"5013/192722 (n = 10)\", \"bbox\": [55, 292, 124, 302]}, {\"cell\": \"2.52\", \"bbox\": [138, 292, 153, 302]}, {\"cell\": \"1.37–4.58\", \"bbox\": [226, 292, 258, 302]}, {\"cell\": \"0.66\", \"bbox\": [285, 292, 300, 302]}, {\"cell\": \"0.36–1.19\", \"bbox\": [352, 292, 383, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [425, 292, 474, 302]}, {\"cell\": \"Season\", \"bbox\": [1, 306, 25, 316]}, {\"cell\": \" Spring\", \"bbox\": [8, 320, 31, 330]}, {\"cell\": \"1885/135064 (n = 9)\", \"bbox\": [55, 320, 120, 330]}, {\"cell\": \"0.82\", \"bbox\": [138, 320, 153, 330]}, {\"cell\": \"0.41–1.63\", \"bbox\": [226, 320, 258, 330]}, {\"cell\": \"0.20\", \"bbox\": [285, 320, 300, 330]}, {\"cell\": \"0.11–0.42\", \"bbox\": [352, 320, 383, 330]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [425, 320, 474, 330]}, {\"cell\": \" Summer\", \"bbox\": [8, 334, 37, 344]}, {\"cell\": \"15,131/440994 (n = 26)\", \"bbox\": [55, 334, 129, 344]}, {\"cell\": \"2.33\", \"bbox\": [138, 334, 153, 344]}, {\"cell\": \"1.71–3.16\", \"bbox\": [226, 334, 258, 344]}, {\"cell\": \"0.61\", \"bbox\": [285, 334, 300, 344]}, {\"cell\": \"0.44–0.82\", \"bbox\": [352, 334, 383, 344]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [425, 334, 474, 344]}, {\"cell\": \" Autumn\", \"bbox\": [8, 348, 37, 358]}, {\"cell\": \"1214/113349 (n = 9)\", \"bbox\": [55, 348, 120, 358]}, {\"cell\": \"1.02\", \"bbox\": [138, 348, 153, 358]}, {\"cell\": \"0.70–1.49\", \"bbox\": [226, 348, 258, 358]}, {\"cell\": \"0.27\", \"bbox\": [285, 348, 300, 358]}, {\"cell\": \"0.18–0.39\", \"bbox\": [352, 348, 383, 358]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [425, 348, 471, 358]}, {\"cell\": \" Winter\", \"bbox\": [8, 362, 31, 372]}, {\"cell\": \"1080/132643 (n = 12)\", \"bbox\": [55, 362, 124, 372]}, {\"cell\": \"0.94\", \"bbox\": [138, 362, 153, 372]}, {\"cell\": \"0.77–1.15\", \"bbox\": [226, 362, 258, 372]}, {\"cell\": \"0.24\", \"bbox\": [285, 362, 300, 372]}, {\"cell\": \"0.20–0.30\", \"bbox\": [352, 362, 383, 372]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [425, 362, 467, 372]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC6045875_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
AttributeValue% of Total
Genome size (bp)[EMPTY_CELL]100.00
DNA coding region (bp)[EMPTY_CELL]84.23
DNA G+C content (bp)[EMPTY_CELL]63.89
Number of scaffolds[EMPTY_CELL][EMPTY_CELL]
Number of contigs[EMPTY_CELL][EMPTY_CELL]
Total gene[EMPTY_CELL]100.00
RNA genes[EMPTY_CELL]1.08
rRNA operons*[EMPTY_CELL]0.01
Protein-coding genes[EMPTY_CELL]98.92
Genes with function prediction[EMPTY_CELL]75.13
Genes assigned to COGs[EMPTY_CELL]74.45
Genes assigned Pfam domains[EMPTY_CELL]79.16
Genes with signal peptides[EMPTY_CELL]8.54
Genes with transmembrane helices[EMPTY_CELL]21.31
CRISPR repeats[EMPTY_CELL][EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Attribute\", \"bbox\": [6, 3, 48, 13]}, {\"cell\": \"Value\", \"bbox\": [194, 3, 221, 13]}, {\"cell\": \"% of Total\", \"bbox\": [237, 3, 286, 13]}, {\"cell\": \"Genome size (bp)\", \"bbox\": [7, 17, 85, 29]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 17, 220, 29]}, {\"cell\": \"100.00\", \"bbox\": [253, 17, 285, 29]}, {\"cell\": \"DNA coding region (bp)\", \"bbox\": [7, 31, 113, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 31, 220, 43]}, {\"cell\": \"84.23\", \"bbox\": [259, 31, 286, 43]}, {\"cell\": \"DNA G+C content (bp)\", \"bbox\": [7, 45, 109, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 45, 220, 57]}, {\"cell\": \"63.89\", \"bbox\": [259, 45, 285, 57]}, {\"cell\": \"Number of scaffolds\", \"bbox\": [7, 58, 96, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [202, 58, 221, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Number of contigs\", \"bbox\": [7, 72, 90, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [202, 72, 221, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Total gene\", \"bbox\": [7, 86, 54, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [194, 86, 220, 98]}, {\"cell\": \"100.00\", \"bbox\": [253, 86, 285, 98]}, {\"cell\": \"RNA genes\", \"bbox\": [7, 100, 57, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 100, 220, 112]}, {\"cell\": \"1.08\", \"bbox\": [265, 100, 285, 112]}, {\"cell\": \"rRNA operons*\", \"bbox\": [7, 113, 74, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [214, 113, 221, 125]}, {\"cell\": \"0.01\", \"bbox\": [265, 113, 285, 125]}, {\"cell\": \"Protein-coding genes\", \"bbox\": [7, 127, 100, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [194, 127, 220, 139]}, {\"cell\": \"98.92\", \"bbox\": [259, 127, 285, 139]}, {\"cell\": \"Genes with function prediction\", \"bbox\": [7, 141, 143, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [194, 141, 221, 153]}, {\"cell\": \"75.13\", \"bbox\": [259, 141, 286, 153]}, {\"cell\": \"Genes assigned to COGs\", \"bbox\": [7, 154, 116, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [194, 154, 220, 166]}, {\"cell\": \"74.45\", \"bbox\": [259, 154, 285, 166]}, {\"cell\": \"Genes assigned Pfam domains\", \"bbox\": [7, 168, 139, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [194, 168, 221, 180]}, {\"cell\": \"79.16\", \"bbox\": [259, 168, 285, 180]}, {\"cell\": \"Genes with signal peptides\", \"bbox\": [7, 182, 125, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [202, 182, 221, 194]}, {\"cell\": \"8.54\", \"bbox\": [265, 182, 285, 194]}, {\"cell\": \"Genes with transmembrane helices\", \"bbox\": [7, 196, 161, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [194, 196, 220, 208]}, {\"cell\": \"21.31\", \"bbox\": [259, 196, 285, 208]}, {\"cell\": \"CRISPR repeats\", \"bbox\": [7, 209, 75, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [214, 209, 221, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4148967_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Sat PC < 5(n = 18)Sat PC > 5(n = 10)p value
Description of Animals[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Birth weight (kg)3.5 ± 0.1[EMPTY_CELL]= 1
Gender (male:female)10:8[EMPTY_CELL]= 1
Gestational Age (days)133.1[EMPTY_CELL]= 1
BAL Sat PC (μmol/kg)2.5 ± 0.3[EMPTY_CELL]< 0.001
VT and Compliance[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
VT/kg at 5 min (mL/kg)10.2 ± 0.6[EMPTY_CELL]= 1
VT/kg at 10 min (mL/kg)14.4 ± 0.4[EMPTY_CELL]= 1
VT/kg at 15 min (mL/kg)15.6 ± 0.6[EMPTY_CELL]= 1
Compliance 5 min (mL/cmH20/kg)0.28 ± 0.02[EMPTY_CELL]= 0.50
Compliance 10 min (mL/cmH20/kg)0.34 ± 0.01[EMPTY_CELL]= 0.11
Compliance 15 min (mL/cmH20/kg)0.36 ± 0.02[EMPTY_CELL]= 0.06
BAL Fluid[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Protein (mg/kg)94.4 ± 9.0[EMPTY_CELL]< 0.002
Neutrophils (x106/kg)74.2 ± 1.8[EMPTY_CELL]< 0.01
Monocytes (x106/kg)12.3 ± 2.9[EMPTY_CELL]= 0.49
MCP-1 protein (ng/ml)42.1 ± 5.6[EMPTY_CELL]< 0.0001
Lung Tissue (mRNA fold increase)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
IL-1β19.2 ± 2.3[EMPTY_CELL]< 0.0001
IL-649.9 ± 8.0[EMPTY_CELL]< 0.001
IL-824.8 ± 4.8[EMPTY_CELL]< 0.0001
Injury Scores[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
(Out of 8 total points)4.8 ± 0.2[EMPTY_CELL]= 0.02
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Sat PC < 5(n = 18)\", \"bbox\": [129, 4, 161, 31]}, {\"cell\": \"Sat PC > 5(n = 10)\", \"bbox\": [170, 4, 201, 31]}, {\"cell\": \"p value\", \"bbox\": [208, 4, 235, 13]}, {\"cell\": \"Description of Animals\", \"bbox\": [1, 35, 82, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Birth weight (kg)\", \"bbox\": [15, 48, 71, 58]}, {\"cell\": \"3.5 ± 0.1\", \"bbox\": [130, 48, 160, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 48, 200, 58]}, {\"cell\": \"= 1\", \"bbox\": [208, 48, 221, 58]}, {\"cell\": \" Gender (male:female)\", \"bbox\": [15, 62, 86, 71]}, {\"cell\": \"10:8\", \"bbox\": [138, 62, 153, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 62, 191, 71]}, {\"cell\": \"= 1\", \"bbox\": [208, 62, 221, 71]}, {\"cell\": \" Gestational Age (days)\", \"bbox\": [15, 75, 89, 84]}, {\"cell\": \"133.1\", \"bbox\": [136, 75, 155, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [176, 75, 195, 84]}, {\"cell\": \"= 1\", \"bbox\": [208, 75, 221, 84]}, {\"cell\": \" BAL Sat PC (μmol/kg)\", \"bbox\": [15, 88, 87, 97]}, {\"cell\": \"2.5 ± 0.3\", \"bbox\": [130, 88, 160, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 88, 197, 106]}, {\"cell\": \"< 0.001\", \"bbox\": [208, 88, 234, 97]}, {\"cell\": \"VT and Compliance\", \"bbox\": [1, 110, 69, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" VT/kg at 5 min (mL/kg)\", \"bbox\": [15, 123, 92, 134]}, {\"cell\": \"10.2 ± 0.6\", \"bbox\": [128, 123, 162, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [169, 123, 202, 133]}, {\"cell\": \"= 1\", \"bbox\": [208, 123, 221, 133]}, {\"cell\": \" VT/kg at 10 min (mL/kg)\", \"bbox\": [15, 136, 96, 147]}, {\"cell\": \"14.4 ± 0.4\", \"bbox\": [128, 136, 162, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [169, 136, 202, 146]}, {\"cell\": \"= 1\", \"bbox\": [208, 136, 221, 146]}, {\"cell\": \" VT/kg at 15 min (mL/kg)\", \"bbox\": [15, 150, 96, 160]}, {\"cell\": \"15.6 ± 0.6\", \"bbox\": [128, 150, 162, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [169, 150, 202, 159]}, {\"cell\": \"= 1\", \"bbox\": [208, 150, 221, 159]}, {\"cell\": \" Compliance 5 min (mL/cmH20/kg)\", \"bbox\": [15, 163, 119, 181]}, {\"cell\": \"0.28 ± 0.02\", \"bbox\": [134, 163, 156, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 163, 197, 181]}, {\"cell\": \"= 0.50\", \"bbox\": [208, 163, 230, 172]}, {\"cell\": \" Compliance 10 min (mL/cmH20/kg)\", \"bbox\": [15, 185, 122, 204]}, {\"cell\": \"0.34 ± 0.01\", \"bbox\": [134, 185, 156, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 185, 197, 204]}, {\"cell\": \"= 0.11\", \"bbox\": [208, 185, 230, 195]}, {\"cell\": \" Compliance 15 min (mL/cmH20/kg)\", \"bbox\": [15, 207, 122, 226]}, {\"cell\": \"0.36 ± 0.02\", \"bbox\": [134, 207, 156, 226]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 207, 197, 226]}, {\"cell\": \"= 0.06\", \"bbox\": [208, 207, 230, 217]}, {\"cell\": \"BAL Fluid\", \"bbox\": [1, 229, 36, 239]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Protein (mg/kg)\", \"bbox\": [15, 243, 68, 252]}, {\"cell\": \"94.4 ± 9.0\", \"bbox\": [128, 243, 162, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [169, 243, 202, 252]}, {\"cell\": \"< 0.002\", \"bbox\": [208, 243, 234, 252]}, {\"cell\": \" Neutrophils (x106/kg)\", \"bbox\": [15, 254, 85, 265]}, {\"cell\": \"74.2 ± 1.8\", \"bbox\": [128, 256, 162, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [169, 256, 202, 265]}, {\"cell\": \"< 0.01\", \"bbox\": [208, 256, 230, 265]}, {\"cell\": \" Monocytes (x106/kg)\", \"bbox\": [15, 267, 83, 278]}, {\"cell\": \"12.3 ± 2.9\", \"bbox\": [128, 269, 162, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 269, 200, 278]}, {\"cell\": \"= 0.49\", \"bbox\": [208, 269, 230, 278]}, {\"cell\": \" MCP-1 protein (ng/ml)\", \"bbox\": [15, 282, 90, 292]}, {\"cell\": \"42.1 ± 5.6\", \"bbox\": [128, 282, 162, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 282, 200, 292]}, {\"cell\": \"< 0.0001\", \"bbox\": [208, 282, 230, 301]}, {\"cell\": \"Lung Tissue (mRNA fold increase)\", \"bbox\": [1, 304, 114, 314]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" IL-1β\", \"bbox\": [15, 318, 33, 327]}, {\"cell\": \"19.2 ± 2.3\", \"bbox\": [128, 318, 162, 327]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 318, 200, 327]}, {\"cell\": \"< 0.0001\", \"bbox\": [208, 318, 230, 336]}, {\"cell\": \" IL-6\", \"bbox\": [15, 340, 29, 349]}, {\"cell\": \"49.9 ± 8.0\", \"bbox\": [128, 340, 162, 349]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 340, 200, 349]}, {\"cell\": \"< 0.001\", \"bbox\": [208, 340, 234, 349]}, {\"cell\": \" IL-8\", \"bbox\": [15, 353, 29, 362]}, {\"cell\": \"24.8 ± 4.8\", \"bbox\": [128, 353, 162, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 353, 200, 362]}, {\"cell\": \"< 0.0001\", \"bbox\": [208, 353, 230, 371]}, {\"cell\": \"Injury Scores\", \"bbox\": [1, 375, 47, 385]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" (Out of 8 total points)\", \"bbox\": [15, 388, 88, 398]}, {\"cell\": \"4.8 ± 0.2\", \"bbox\": [130, 388, 160, 398]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 388, 200, 398]}, {\"cell\": \"= 0.02\", \"bbox\": [208, 388, 230, 398]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2978154_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariableNonsurvivors (n = 1031)Survivors (n = 2590)Availability n (%)
[EMPTY_CELL]37 (0.73)37 (0.75)3533 (91.6)
[EMPTY_CELL]109 (24)100 (24)3419 (88.7)
[EMPTY_CELL]54 (16–102)56 (16–103)3509 (91)
[EMPTY_CELL]24 (8)23 (6)2733 (70.9)
[EMPTY_CELL]132 (35)139 (29)2828 (73.4)
[EMPTY_CELL]75 (19)79 (16)3527 (91.5)
[EMPTY_CELL]9 (2–15)15 (2–15)3372 (87.5)
[EMPTY_CELL]150 (1.4–242)150 (0.4–267)423 (11)
[EMPTY_CELL]7.3 (0.15)7.4 (0.13)512 (13.3)
[EMPTY_CELL]21.3 (27.2)18.6 (23.8)2228 (57.8)
[EMPTY_CELL]34.7 (8.5)35.8 (7)463 (12)
[EMPTY_CELL]1.4 (0.3–11.3)1.2 (0.4–18)496 (12.9)
[EMPTY_CELL]4.2 (1.04)4.1 (0.77)2774 (72)
[EMPTY_CELL]137.7 (8.9)137.1 (6.9)2785 (72.2)
[EMPTY_CELL]59 (0.6–411)32 (0.9–672)1936 (50.2)
[EMPTY_CELL]10.8 (2.8)11.6 (2.4)1869 (48.5)
[EMPTY_CELL]572 (64.34)1860 (91.31)2951 (76.5)
[EMPTY_CELL]899 (87)2054 (79)2978 (77.3)
[EMPTY_CELL]35 (21–100)21 (21–100)2323 (60.3)
[EMPTY_CELL]1150 (0–7400)1300 (0–12000)2469 (64)
[EMPTY_CELL]22.3(5.4)22.5 (6.5)361 (9.4)
[EMPTY_CELL]1.1 (0.1–39)0.7 (0.1–56)1272 (33)
\", \"cells\": [{\"cell\": \"Variable\", \"bbox\": [1, 4, 27, 13]}, {\"cell\": \"Nonsurvivors (n = 1031)\", \"bbox\": [212, 4, 289, 13]}, {\"cell\": \"Survivors (n = 2590)\", \"bbox\": [327, 4, 391, 13]}, {\"cell\": \"Availability n (%)\", \"bbox\": [430, 4, 484, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 15, 88, 27]}, {\"cell\": \"37 (0.73)\", \"bbox\": [212, 17, 241, 27]}, {\"cell\": \"37 (0.75)\", \"bbox\": [327, 17, 356, 27]}, {\"cell\": \"3533 (91.6)\", \"bbox\": [430, 17, 466, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 29, 49, 41]}, {\"cell\": \"109 (24)\", \"bbox\": [212, 31, 239, 41]}, {\"cell\": \"100 (24)\", \"bbox\": [327, 31, 355, 41]}, {\"cell\": \"3419 (88.7)\", \"bbox\": [430, 31, 466, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 43, 105, 55]}, {\"cell\": \"54 (16–102)\", \"bbox\": [212, 45, 251, 55]}, {\"cell\": \"56 (16–103)\", \"bbox\": [327, 45, 366, 55]}, {\"cell\": \"3509 (91)\", \"bbox\": [430, 45, 461, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 57, 91, 69]}, {\"cell\": \"24 (8)\", \"bbox\": [212, 59, 232, 69]}, {\"cell\": \"23 (6)\", \"bbox\": [327, 59, 347, 69]}, {\"cell\": \"2733 (70.9)\", \"bbox\": [430, 59, 466, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 71, 141, 83]}, {\"cell\": \"132 (35)\", \"bbox\": [212, 73, 239, 83]}, {\"cell\": \"139 (29)\", \"bbox\": [327, 73, 355, 83]}, {\"cell\": \"2828 (73.4)\", \"bbox\": [430, 73, 466, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 85, 123, 97]}, {\"cell\": \"75 (19)\", \"bbox\": [212, 87, 235, 97]}, {\"cell\": \"79 (16)\", \"bbox\": [327, 87, 351, 97]}, {\"cell\": \"3527 (91.5)\", \"bbox\": [430, 87, 466, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 99, 171, 111]}, {\"cell\": \"9 (2–15)\", \"bbox\": [212, 101, 239, 111]}, {\"cell\": \"15 (2–15)\", \"bbox\": [327, 101, 359, 111]}, {\"cell\": \"3372 (87.5)\", \"bbox\": [430, 101, 466, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 113, 113, 125]}, {\"cell\": \"150 (1.4–242)\", \"bbox\": [212, 115, 256, 125]}, {\"cell\": \"150 (0.4–267)\", \"bbox\": [327, 115, 371, 125]}, {\"cell\": \"423 (11)\", \"bbox\": [430, 115, 457, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 127, 18, 139]}, {\"cell\": \"7.3 (0.15)\", \"bbox\": [212, 129, 242, 139]}, {\"cell\": \"7.4 (0.13)\", \"bbox\": [327, 129, 357, 139]}, {\"cell\": \"512 (13.3)\", \"bbox\": [430, 129, 462, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 141, 32, 153]}, {\"cell\": \"21.3 (27.2)\", \"bbox\": [212, 143, 246, 153]}, {\"cell\": \"18.6 (23.8)\", \"bbox\": [327, 143, 361, 153]}, {\"cell\": \"2228 (57.8)\", \"bbox\": [430, 143, 466, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 155, 29, 167]}, {\"cell\": \"34.7 (8.5)\", \"bbox\": [212, 157, 242, 167]}, {\"cell\": \"35.8 (7)\", \"bbox\": [327, 157, 352, 167]}, {\"cell\": \"463 (12)\", \"bbox\": [430, 157, 457, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 169, 142, 181]}, {\"cell\": \"1.4 (0.3–11.3)\", \"bbox\": [212, 171, 255, 181]}, {\"cell\": \"1.2 (0.4–18)\", \"bbox\": [327, 171, 365, 181]}, {\"cell\": \"496 (12.9)\", \"bbox\": [430, 171, 462, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 183, 77, 195]}, {\"cell\": \"4.2 (1.04)\", \"bbox\": [212, 185, 242, 195]}, {\"cell\": \"4.1 (0.77)\", \"bbox\": [327, 185, 357, 195]}, {\"cell\": \"2774 (72)\", \"bbox\": [430, 185, 461, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 197, 69, 209]}, {\"cell\": \"137.7 (8.9)\", \"bbox\": [212, 199, 246, 209]}, {\"cell\": \"137.1 (6.9)\", \"bbox\": [327, 199, 361, 209]}, {\"cell\": \"2785 (72.2)\", \"bbox\": [430, 199, 466, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 211, 173, 223]}, {\"cell\": \"59 (0.6–411)\", \"bbox\": [212, 213, 252, 223]}, {\"cell\": \"32 (0.9–672)\", \"bbox\": [327, 213, 368, 223]}, {\"cell\": \"1936 (50.2)\", \"bbox\": [430, 213, 466, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 225, 86, 237]}, {\"cell\": \"10.8 (2.8)\", \"bbox\": [212, 227, 242, 237]}, {\"cell\": \"11.6 (2.4)\", \"bbox\": [327, 227, 357, 237]}, {\"cell\": \"1869 (48.5)\", \"bbox\": [430, 227, 466, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 239, 94, 251]}, {\"cell\": \"572 (64.34)\", \"bbox\": [212, 241, 248, 251]}, {\"cell\": \"1860 (91.31)\", \"bbox\": [327, 241, 368, 251]}, {\"cell\": \"2951 (76.5)\", \"bbox\": [430, 241, 466, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 253, 124, 265]}, {\"cell\": \"899 (87)\", \"bbox\": [212, 255, 239, 265]}, {\"cell\": \"2054 (79)\", \"bbox\": [327, 255, 359, 265]}, {\"cell\": \"2978 (77.3)\", \"bbox\": [430, 255, 466, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 267, 83, 279]}, {\"cell\": \"35 (21–100)\", \"bbox\": [212, 269, 251, 279]}, {\"cell\": \"21 (21–100)\", \"bbox\": [327, 269, 366, 279]}, {\"cell\": \"2323 (60.3)\", \"bbox\": [430, 269, 466, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 281, 102, 293]}, {\"cell\": \"1150 (0–7400)\", \"bbox\": [212, 283, 259, 293]}, {\"cell\": \"1300 (0–12000)\", \"bbox\": [327, 283, 378, 293]}, {\"cell\": \"2469 (64)\", \"bbox\": [430, 283, 461, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 295, 73, 307]}, {\"cell\": \"22.3(5.4)\", \"bbox\": [212, 297, 240, 307]}, {\"cell\": \"22.5 (6.5)\", \"bbox\": [327, 297, 357, 307]}, {\"cell\": \"361 (9.4)\", \"bbox\": [430, 297, 459, 307]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 309, 113, 321]}, {\"cell\": \"1.1 (0.1–39)\", \"bbox\": [212, 311, 250, 321]}, {\"cell\": \"0.7 (0.1–56)\", \"bbox\": [327, 311, 365, 321]}, {\"cell\": \"1272 (33)\", \"bbox\": [430, 311, 461, 321]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5645891_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariableCategoryEQ-5D health utility score self-assessed current health stateUtility decrement associated with moderate AD health state
CoefficientBootstrap SE*CoefficientBootstrap SE*
Intercept—[EMPTY_CELL]0.03490.26500.0580
AgeYears[EMPTY_CELL]0.0004−0.00350.0007
Gender Female versus male[EMPTY_CELL]0.01310.04800.0218
Some collegeVersus high school or less[EMPTY_CELL]0.02010.04410.0297
Some universityVersus high school or less[EMPTY_CELL]0.01940.07840.0256
Income: $20 to 40 KVersus less than $20 K[EMPTY_CELL]0.02560.02540.0349
Income: $40 to 60 KVersus less than $20 K[EMPTY_CELL]0.0258−0.00620.0361
Income: $60 to 80 KVersus less than $20 K[EMPTY_CELL]0.02670.05040.0368
Income: $80 K and +Versus less than $20 K[EMPTY_CELL]0.02790.04790.0333
Know someone with ADVersus not knowing[EMPTY_CELL]—0.00320.0215
ADKT score—[EMPTY_CELL]—0.01070.0099
Multiple R-squared0.1028[EMPTY_CELL]
Adjusted R-squared0.0877[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Variable\", \"bbox\": [2, 15, 34, 25]}, {\"cell\": \"Category\", \"bbox\": [85, 15, 119, 25]}, {\"cell\": \"EQ-5D health utility score self-assessed current health state\", \"bbox\": [136, 4, 307, 25]}, {\"cell\": \"Utility decrement associated with moderate AD health state\", \"bbox\": [320, 4, 492, 25]}, {\"cell\": \"Coefficient\", \"bbox\": [156, 29, 198, 39]}, {\"cell\": \"Bootstrap SE*\", \"bbox\": [239, 29, 292, 39]}, {\"cell\": \"Coefficient\", \"bbox\": [340, 29, 381, 39]}, {\"cell\": \"Bootstrap SE*\", \"bbox\": [423, 29, 476, 39]}, {\"cell\": \"Intercept\", \"bbox\": [2, 43, 37, 53]}, {\"cell\": \"—\", \"bbox\": [103, 43, 114, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [164, 43, 190, 51]}, {\"cell\": \"0.0349\", \"bbox\": [253, 43, 279, 51]}, {\"cell\": \"0.2650\", \"bbox\": [348, 43, 373, 53]}, {\"cell\": \"0.0580\", \"bbox\": [436, 43, 462, 53]}, {\"cell\": \"Age\", \"bbox\": [2, 56, 18, 67]}, {\"cell\": \"Years\", \"bbox\": [98, 56, 118, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [161, 57, 193, 65]}, {\"cell\": \"0.0004\", \"bbox\": [253, 57, 279, 65]}, {\"cell\": \"−0.0035\", \"bbox\": [344, 57, 377, 65]}, {\"cell\": \"0.0007\", \"bbox\": [436, 57, 462, 65]}, {\"cell\": \"Gender\", \"bbox\": [2, 75, 31, 85]}, {\"cell\": \" Female versus male\", \"bbox\": [86, 70, 130, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [164, 75, 190, 85]}, {\"cell\": \"0.0131\", \"bbox\": [253, 75, 279, 85]}, {\"cell\": \"0.0480\", \"bbox\": [347, 75, 374, 83]}, {\"cell\": \"0.0218\", \"bbox\": [436, 75, 462, 83]}, {\"cell\": \"Some college\", \"bbox\": [2, 103, 51, 114]}, {\"cell\": \"Versus high school or less\", \"bbox\": [87, 93, 130, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [161, 103, 193, 114]}, {\"cell\": \"0.0201\", \"bbox\": [253, 103, 279, 114]}, {\"cell\": \"0.0441\", \"bbox\": [348, 103, 373, 114]}, {\"cell\": \"0.0297\", \"bbox\": [436, 103, 462, 114]}, {\"cell\": \" Some university\", \"bbox\": [2, 137, 62, 148]}, {\"cell\": \"Versus high school or less\", \"bbox\": [87, 127, 130, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [164, 137, 190, 148]}, {\"cell\": \"0.0194\", \"bbox\": [253, 137, 279, 148]}, {\"cell\": \"0.0784\", \"bbox\": [347, 138, 374, 146]}, {\"cell\": \"0.0256\", \"bbox\": [436, 138, 462, 146]}, {\"cell\": \"Income: $20 to 40 K\", \"bbox\": [2, 166, 76, 177]}, {\"cell\": \"Versus less than $20 K\", \"bbox\": [88, 161, 129, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [164, 167, 190, 175]}, {\"cell\": \"0.0256\", \"bbox\": [253, 167, 279, 175]}, {\"cell\": \"0.0254\", \"bbox\": [348, 166, 373, 177]}, {\"cell\": \"0.0349\", \"bbox\": [436, 166, 462, 177]}, {\"cell\": \"Income: $40 to 60 K\", \"bbox\": [2, 190, 76, 200]}, {\"cell\": \"Versus less than $20 K\", \"bbox\": [88, 184, 129, 205]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [164, 190, 190, 198]}, {\"cell\": \"0.0258\", \"bbox\": [253, 190, 279, 198]}, {\"cell\": \"−0.0062\", \"bbox\": [345, 190, 377, 200]}, {\"cell\": \"0.0361\", \"bbox\": [436, 190, 462, 200]}, {\"cell\": \"Income: $60 to 80 K\", \"bbox\": [2, 213, 76, 224]}, {\"cell\": \"Versus less than $20 K\", \"bbox\": [88, 208, 129, 229]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [164, 214, 190, 222]}, {\"cell\": \"0.0267\", \"bbox\": [253, 214, 279, 222]}, {\"cell\": \"0.0504\", \"bbox\": [348, 213, 373, 224]}, {\"cell\": \"0.0368\", \"bbox\": [436, 213, 462, 224]}, {\"cell\": \"Income: $80 K and +\", \"bbox\": [2, 237, 79, 247]}, {\"cell\": \"Versus less than $20 K\", \"bbox\": [88, 232, 129, 253]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [164, 237, 190, 245]}, {\"cell\": \"0.0279\", \"bbox\": [253, 237, 279, 245]}, {\"cell\": \"0.0479\", \"bbox\": [348, 237, 373, 247]}, {\"cell\": \"0.0333\", \"bbox\": [436, 237, 462, 247]}, {\"cell\": \"Know someone with AD\", \"bbox\": [2, 255, 78, 276]}, {\"cell\": \"Versus not knowing\", \"bbox\": [88, 255, 128, 276]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [172, 261, 183, 269]}, {\"cell\": \"—\", \"bbox\": [260, 261, 271, 269]}, {\"cell\": \"0.0032\", \"bbox\": [348, 260, 373, 271]}, {\"cell\": \"0.0215\", \"bbox\": [436, 260, 462, 271]}, {\"cell\": \"ADKT score\", \"bbox\": [2, 279, 49, 290]}, {\"cell\": \"—\", \"bbox\": [103, 279, 114, 290]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [172, 280, 183, 288]}, {\"cell\": \"—\", \"bbox\": [260, 280, 271, 288]}, {\"cell\": \"0.0107\", \"bbox\": [348, 279, 373, 290]}, {\"cell\": \"0.0099\", \"bbox\": [436, 279, 462, 290]}, {\"cell\": \"Multiple R-squared\", \"bbox\": [31, 292, 103, 303]}, {\"cell\": \"0.1028\", \"bbox\": [213, 292, 238, 303]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [396, 292, 422, 303]}, {\"cell\": \"Adjusted R-squared\", \"bbox\": [31, 306, 103, 316]}, {\"cell\": \"0.0877\", \"bbox\": [213, 306, 238, 316]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [396, 306, 422, 316]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3250621_004_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariableCampylobacter spp.C. jejuni
CoefficientSEP valueCoefficientSEP value
Intercept−1.570.32<0.0001−1.71[EMPTY_CELL]NS
Species[EMPTY_CELL][EMPTY_CELL]<0.0011[EMPTY_CELL][EMPTY_CELL]NS1
DuckRef[EMPTY_CELL][EMPTY_CELL]Ref[EMPTY_CELL][EMPTY_CELL]
Starling0.420.13<0.001−0.13[EMPTY_CELL]NS
Site[EMPTY_CELL][EMPTY_CELL]<0.0011[EMPTY_CELL][EMPTY_CELL]<0.0011
EsplanadeRef[EMPTY_CELL][EMPTY_CELL]Ref[EMPTY_CELL][EMPTY_CELL]
Hokowhitu−0.620.2<0.003−0.64[EMPTY_CELL]<0.03
Memorial Park−0.090.19NS−0.02[EMPTY_CELL]NS
Massey−0.60.2<0.004−0.67[EMPTY_CELL]<0.02
Square−0.210.2NS−0.1[EMPTY_CELL]NS
Month[EMPTY_CELL][EMPTY_CELL]<0.000011[EMPTY_CELL][EMPTY_CELL]
August-20080.730.31<0.050.59[EMPTY_CELL]NS
September-20081.580.3<0.0011.72[EMPTY_CELL]<0.001
October-20081.560.3<0.0011.68[EMPTY_CELL]<0.001
November-20080.570.31NS0.54[EMPTY_CELL]NS
December-2008Ref[EMPTY_CELL][EMPTY_CELL]Ref[EMPTY_CELL][EMPTY_CELL]
January-20090.240.33NS0.42[EMPTY_CELL]NS
February-20090.690.31<0.050.59[EMPTY_CELL]NS
March-20090.410.32NS0.15[EMPTY_CELL]NS
April-20090.920.3<0.010.7[EMPTY_CELL]NS
May-20091.140.3<0.0010.85[EMPTY_CELL]<0.05
June-20091.120.29<0.0010.75[EMPTY_CELL]<0.05
July-20091.060.29<0.0010.36[EMPTY_CELL]NS
\", \"cells\": [{\"cell\": \"Variable\", \"bbox\": [1, 22, 28, 31]}, {\"cell\": \"Campylobacter spp.\", \"bbox\": [103, 6, 169, 15]}, {\"cell\": \"C. jejuni\", \"bbox\": [305, 6, 334, 15]}, {\"cell\": \"Coefficient\", \"bbox\": [103, 22, 140, 31]}, {\"cell\": \"SE\", \"bbox\": [180, 22, 189, 31]}, {\"cell\": \"P value\", \"bbox\": [236, 22, 261, 31]}, {\"cell\": \"Coefficient\", \"bbox\": [305, 22, 342, 31]}, {\"cell\": \"SE\", \"bbox\": [382, 22, 392, 31]}, {\"cell\": \"P value\", \"bbox\": [438, 22, 463, 31]}, {\"cell\": \"Intercept\", \"bbox\": [1, 40, 31, 49]}, {\"cell\": \"−1.57\", \"bbox\": [104, 40, 126, 49]}, {\"cell\": \"0.32\", \"bbox\": [180, 40, 196, 49]}, {\"cell\": \"<0.0001\", \"bbox\": [237, 40, 266, 49]}, {\"cell\": \"−1.71\", \"bbox\": [306, 40, 328, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 40, 399, 49]}, {\"cell\": \"NS\", \"bbox\": [438, 40, 449, 49]}, {\"cell\": \"Species\", \"bbox\": [1, 50, 26, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.0011\", \"bbox\": [237, 49, 265, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"NS1\", \"bbox\": [438, 49, 452, 59]}, {\"cell\": \" Duck\", \"bbox\": [8, 61, 26, 70]}, {\"cell\": \"Ref\", \"bbox\": [103, 61, 116, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ref\", \"bbox\": [305, 61, 318, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Starling\", \"bbox\": [8, 71, 34, 80]}, {\"cell\": \"0.42\", \"bbox\": [110, 71, 126, 80]}, {\"cell\": \"0.13\", \"bbox\": [180, 71, 196, 80]}, {\"cell\": \"<0.001\", \"bbox\": [237, 71, 261, 80]}, {\"cell\": \"−0.13\", \"bbox\": [306, 71, 328, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 71, 399, 80]}, {\"cell\": \"NS\", \"bbox\": [438, 71, 449, 80]}, {\"cell\": \"Site\", \"bbox\": [0, 82, 14, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.0011\", \"bbox\": [237, 80, 265, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.0011\", \"bbox\": [439, 80, 467, 91]}, {\"cell\": \" Esplanade\", \"bbox\": [8, 92, 42, 101]}, {\"cell\": \"Ref\", \"bbox\": [103, 92, 116, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ref\", \"bbox\": [305, 92, 318, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Hokowhitu\", \"bbox\": [8, 102, 45, 112]}, {\"cell\": \"−0.62\", \"bbox\": [104, 102, 126, 112]}, {\"cell\": \"0.2\", \"bbox\": [180, 102, 192, 112]}, {\"cell\": \"<0.003\", \"bbox\": [237, 102, 261, 112]}, {\"cell\": \"−0.64\", \"bbox\": [306, 102, 328, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 102, 395, 112]}, {\"cell\": \"<0.03\", \"bbox\": [439, 102, 460, 112]}, {\"cell\": \" Memorial Park\", \"bbox\": [8, 113, 56, 122]}, {\"cell\": \"−0.09\", \"bbox\": [104, 113, 126, 122]}, {\"cell\": \"0.19\", \"bbox\": [180, 113, 196, 122]}, {\"cell\": \"NS\", \"bbox\": [236, 113, 247, 122]}, {\"cell\": \"−0.02\", \"bbox\": [306, 113, 328, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 113, 399, 122]}, {\"cell\": \"NS\", \"bbox\": [438, 113, 449, 122]}, {\"cell\": \" Massey\", \"bbox\": [8, 123, 33, 133]}, {\"cell\": \"−0.6\", \"bbox\": [104, 123, 122, 133]}, {\"cell\": \"0.2\", \"bbox\": [180, 123, 192, 133]}, {\"cell\": \"<0.004\", \"bbox\": [237, 123, 261, 133]}, {\"cell\": \"−0.67\", \"bbox\": [306, 123, 328, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 123, 395, 133]}, {\"cell\": \"<0.02\", \"bbox\": [439, 123, 460, 133]}, {\"cell\": \" Square\", \"bbox\": [8, 134, 32, 143]}, {\"cell\": \"−0.21\", \"bbox\": [104, 134, 126, 143]}, {\"cell\": \"0.2\", \"bbox\": [180, 134, 192, 143]}, {\"cell\": \"NS\", \"bbox\": [236, 134, 247, 143]}, {\"cell\": \"−0.1\", \"bbox\": [306, 134, 324, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 134, 399, 143]}, {\"cell\": \"NS\", \"bbox\": [438, 134, 449, 143]}, {\"cell\": \"Month\", \"bbox\": [1, 144, 24, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.000011\", \"bbox\": [237, 143, 273, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [439, 143, 475, 154]}, {\"cell\": \" August-2008\", \"bbox\": [8, 155, 52, 164]}, {\"cell\": \"0.73\", \"bbox\": [110, 155, 126, 164]}, {\"cell\": \"0.31\", \"bbox\": [180, 155, 196, 164]}, {\"cell\": \"<0.05\", \"bbox\": [237, 155, 257, 164]}, {\"cell\": \"0.59\", \"bbox\": [312, 155, 328, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 155, 399, 164]}, {\"cell\": \"NS\", \"bbox\": [438, 155, 449, 164]}, {\"cell\": \" September-2008\", \"bbox\": [8, 165, 63, 175]}, {\"cell\": \"1.58\", \"bbox\": [110, 165, 126, 175]}, {\"cell\": \"0.3\", \"bbox\": [180, 165, 192, 175]}, {\"cell\": \"<0.001\", \"bbox\": [237, 165, 261, 175]}, {\"cell\": \"1.72\", \"bbox\": [312, 165, 328, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 165, 399, 175]}, {\"cell\": \"<0.001\", \"bbox\": [439, 165, 464, 175]}, {\"cell\": \" October-2008\", \"bbox\": [8, 176, 55, 185]}, {\"cell\": \"1.56\", \"bbox\": [110, 176, 126, 185]}, {\"cell\": \"0.3\", \"bbox\": [180, 176, 192, 185]}, {\"cell\": \"<0.001\", \"bbox\": [237, 176, 261, 185]}, {\"cell\": \"1.68\", \"bbox\": [312, 176, 328, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 176, 399, 185]}, {\"cell\": \"<0.001\", \"bbox\": [439, 176, 464, 185]}, {\"cell\": \" November-2008\", \"bbox\": [8, 186, 62, 195]}, {\"cell\": \"0.57\", \"bbox\": [110, 186, 126, 195]}, {\"cell\": \"0.31\", \"bbox\": [180, 186, 196, 195]}, {\"cell\": \"NS\", \"bbox\": [236, 186, 247, 195]}, {\"cell\": \"0.54\", \"bbox\": [312, 186, 328, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 186, 399, 195]}, {\"cell\": \"NS\", \"bbox\": [438, 186, 449, 195]}, {\"cell\": \" December-2008\", \"bbox\": [8, 197, 61, 206]}, {\"cell\": \"Ref\", \"bbox\": [103, 197, 116, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ref\", \"bbox\": [305, 197, 318, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" January-2009\", \"bbox\": [8, 207, 53, 216]}, {\"cell\": \"0.24\", \"bbox\": [110, 207, 126, 216]}, {\"cell\": \"0.33\", \"bbox\": [180, 207, 196, 216]}, {\"cell\": \"NS\", \"bbox\": [236, 207, 247, 216]}, {\"cell\": \"0.42\", \"bbox\": [312, 207, 328, 216]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 207, 399, 216]}, {\"cell\": \"NS\", \"bbox\": [438, 207, 449, 216]}, {\"cell\": \" February-2009\", \"bbox\": [8, 217, 56, 227]}, {\"cell\": \"0.69\", \"bbox\": [110, 217, 126, 227]}, {\"cell\": \"0.31\", \"bbox\": [180, 217, 196, 227]}, {\"cell\": \"<0.05\", \"bbox\": [237, 217, 257, 227]}, {\"cell\": \"0.59\", \"bbox\": [312, 217, 328, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 217, 399, 227]}, {\"cell\": \"NS\", \"bbox\": [438, 217, 449, 227]}, {\"cell\": \" March-2009\", \"bbox\": [8, 228, 49, 237]}, {\"cell\": \"0.41\", \"bbox\": [110, 228, 126, 237]}, {\"cell\": \"0.32\", \"bbox\": [180, 228, 196, 237]}, {\"cell\": \"NS\", \"bbox\": [236, 228, 247, 237]}, {\"cell\": \"0.15\", \"bbox\": [312, 228, 328, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 228, 399, 237]}, {\"cell\": \"NS\", \"bbox\": [438, 228, 449, 237]}, {\"cell\": \" April-2009\", \"bbox\": [8, 238, 44, 248]}, {\"cell\": \"0.92\", \"bbox\": [110, 238, 126, 248]}, {\"cell\": \"0.3\", \"bbox\": [180, 238, 192, 248]}, {\"cell\": \"<0.01\", \"bbox\": [237, 238, 257, 248]}, {\"cell\": \"0.7\", \"bbox\": [312, 238, 324, 248]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 238, 399, 248]}, {\"cell\": \"NS\", \"bbox\": [438, 238, 449, 248]}, {\"cell\": \" May-2009\", \"bbox\": [8, 249, 43, 258]}, {\"cell\": \"1.14\", \"bbox\": [110, 249, 126, 258]}, {\"cell\": \"0.3\", \"bbox\": [180, 249, 192, 258]}, {\"cell\": \"<0.001\", \"bbox\": [237, 249, 261, 258]}, {\"cell\": \"0.85\", \"bbox\": [312, 249, 328, 258]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 249, 395, 258]}, {\"cell\": \"<0.05\", \"bbox\": [439, 249, 460, 258]}, {\"cell\": \" June-2009\", \"bbox\": [8, 259, 43, 269]}, {\"cell\": \"1.12\", \"bbox\": [110, 259, 126, 269]}, {\"cell\": \"0.29\", \"bbox\": [180, 259, 196, 269]}, {\"cell\": \"<0.001\", \"bbox\": [237, 259, 261, 269]}, {\"cell\": \"0.75\", \"bbox\": [312, 259, 328, 269]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 259, 399, 269]}, {\"cell\": \"<0.05\", \"bbox\": [439, 259, 460, 269]}, {\"cell\": \" July-2009\", \"bbox\": [8, 270, 41, 279]}, {\"cell\": \"1.06\", \"bbox\": [110, 270, 126, 279]}, {\"cell\": \"0.29\", \"bbox\": [180, 270, 196, 279]}, {\"cell\": \"<0.001\", \"bbox\": [237, 270, 261, 279]}, {\"cell\": \"0.36\", \"bbox\": [312, 270, 328, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 270, 399, 279]}, {\"cell\": \"NS\", \"bbox\": [438, 270, 449, 279]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3831628_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
CharacteristicsAll (n = 578)Male (n = 247)Female (n = 331)Pa
Age at onset (mean ± SD)[EMPTY_CELL]35.2 ± 12.137.8 ± 12.00.013b
Observation period (mean ± SD)[EMPTY_CELL]8.2 ± 7.69.6 ± 8.40.036b
HLA-B51, n (%)[EMPTY_CELL]88/170 (51.8)89/182 (48.9)0.59
Oral ulcer, n (%)[EMPTY_CELL]246 (99.6)326 (98.5)0.11
Genital ulcer, n (%)[EMPTY_CELL]141 (57.3)276 (83.4)[EMPTY_CELL]
Eye involvement, n (%)[EMPTY_CELL]181 (73.3)175 (52.9)[EMPTY_CELL]
Skin involvement, n (%)[EMPTY_CELL]212 (85.8)301 (90.9)0.055
Arthritis, n (%)[EMPTY_CELL]104 (42.1)197 (59.5)[EMPTY_CELL]
Epididymitis, n (%)[EMPTY_CELL]14 (5.7)[EMPTY_CELL][EMPTY_CELL]
Gastrointestinal involvement, n (%)[EMPTY_CELL]26 (10.5)45 (13.6)0.069
CNS involvement, n (%)[EMPTY_CELL]34 (13.8)25 (7.6)0.015
Vascular involvement, n (%)[EMPTY_CELL]25 (10.1)21 (6.3)0.097
Fulfilling ISG, n (%)[EMPTY_CELL]213 (86.2)304 (91.8)0.030
\", \"cells\": [{\"cell\": \"Characteristics\", \"bbox\": [1, 4, 48, 13]}, {\"cell\": \"All (n = 578)\", \"bbox\": [162, 4, 202, 13]}, {\"cell\": \"Male (n = 247)\", \"bbox\": [256, 4, 304, 13]}, {\"cell\": \"Female (n = 331)\", \"bbox\": [352, 4, 407, 13]}, {\"cell\": \"Pa\", \"bbox\": [455, 2, 463, 12]}, {\"cell\": \"Age at onset (mean ± SD)\", \"bbox\": [1, 17, 85, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [162, 17, 197, 27]}, {\"cell\": \"35.2 ± 12.1\", \"bbox\": [256, 17, 292, 27]}, {\"cell\": \"37.8 ± 12.0\", \"bbox\": [352, 17, 387, 27]}, {\"cell\": \"0.013b\", \"bbox\": [455, 15, 479, 25]}, {\"cell\": \"Observation period (mean ± SD)\", \"bbox\": [1, 31, 105, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [162, 31, 189, 41]}, {\"cell\": \"8.2 ± 7.6\", \"bbox\": [256, 31, 284, 41]}, {\"cell\": \"9.6 ± 8.4\", \"bbox\": [352, 31, 379, 41]}, {\"cell\": \"0.036b\", \"bbox\": [455, 29, 481, 39]}, {\"cell\": \"HLA-B51, n (%)\", \"bbox\": [1, 45, 50, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [162, 45, 209, 55]}, {\"cell\": \"88/170 (51.8)\", \"bbox\": [256, 45, 300, 55]}, {\"cell\": \"89/182 (48.9)\", \"bbox\": [352, 45, 395, 55]}, {\"cell\": \"0.59\", \"bbox\": [455, 45, 469, 55]}, {\"cell\": \"Oral ulcer, n (%)\", \"bbox\": [1, 59, 53, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [162, 59, 194, 69]}, {\"cell\": \"246 (99.6)\", \"bbox\": [256, 59, 289, 69]}, {\"cell\": \"326 (98.5)\", \"bbox\": [352, 59, 384, 69]}, {\"cell\": \"0.11\", \"bbox\": [455, 59, 469, 69]}, {\"cell\": \"Genital ulcer, n (%)\", \"bbox\": [1, 73, 63, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [162, 73, 194, 83]}, {\"cell\": \"141 (57.3)\", \"bbox\": [256, 73, 289, 83]}, {\"cell\": \"276 (83.4)\", \"bbox\": [352, 73, 384, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 73, 484, 81]}, {\"cell\": \"Eye involvement, n (%)\", \"bbox\": [1, 87, 76, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [162, 87, 194, 97]}, {\"cell\": \"181 (73.3)\", \"bbox\": [256, 87, 289, 97]}, {\"cell\": \"175 (52.9)\", \"bbox\": [352, 87, 384, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 87, 484, 95]}, {\"cell\": \"Skin involvement, n (%)\", \"bbox\": [1, 101, 78, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [162, 101, 194, 111]}, {\"cell\": \"212 (85.8)\", \"bbox\": [256, 101, 289, 111]}, {\"cell\": \"301 (90.9)\", \"bbox\": [352, 101, 384, 111]}, {\"cell\": \"0.055\", \"bbox\": [455, 101, 473, 111]}, {\"cell\": \"Arthritis, n (%)\", \"bbox\": [1, 115, 47, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [162, 115, 194, 125]}, {\"cell\": \"104 (42.1)\", \"bbox\": [256, 115, 289, 125]}, {\"cell\": \"197 (59.5)\", \"bbox\": [352, 115, 384, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 115, 484, 123]}, {\"cell\": \"Epididymitis, n (%)\", \"bbox\": [1, 129, 61, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [162, 129, 187, 139]}, {\"cell\": \"14 (5.7)\", \"bbox\": [256, 129, 282, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Gastrointestinal involvement, n (%)\", \"bbox\": [1, 143, 114, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [162, 143, 188, 153]}, {\"cell\": \"26 (10.5)\", \"bbox\": [256, 143, 285, 153]}, {\"cell\": \"45 (13.6)\", \"bbox\": [352, 143, 381, 153]}, {\"cell\": \"0.069\", \"bbox\": [455, 143, 473, 153]}, {\"cell\": \"CNS involvement, n (%)\", \"bbox\": [1, 157, 78, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [162, 157, 191, 167]}, {\"cell\": \"34 (13.8)\", \"bbox\": [256, 157, 285, 167]}, {\"cell\": \"25 (7.6)\", \"bbox\": [352, 157, 377, 167]}, {\"cell\": \"0.015\", \"bbox\": [455, 157, 475, 165]}, {\"cell\": \"Vascular involvement, n (%)\", \"bbox\": [1, 171, 90, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [162, 171, 187, 181]}, {\"cell\": \"25 (10.1)\", \"bbox\": [256, 171, 285, 181]}, {\"cell\": \"21 (6.3)\", \"bbox\": [352, 171, 377, 181]}, {\"cell\": \"0.097\", \"bbox\": [455, 171, 473, 181]}, {\"cell\": \"Fulfilling ISG, n (%)\", \"bbox\": [1, 185, 62, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [162, 185, 194, 195]}, {\"cell\": \"213 (86.2)\", \"bbox\": [256, 185, 289, 195]}, {\"cell\": \"304 (91.8)\", \"bbox\": [352, 185, 384, 195]}, {\"cell\": \"0.030\", \"bbox\": [455, 185, 475, 193]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5048408_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]VariableNumber of patients
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Male53
[EMPTY_CELL]Female43
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]<393
[EMPTY_CELL]40-495
[EMPTY_CELL]50-5919
[EMPTY_CELL]60-6932
[EMPTY_CELL]70-7919
[EMPTY_CELL]80-8917
[EMPTY_CELL]>901
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Tis1
[EMPTY_CELL]T15
[EMPTY_CELL]T211
[EMPTY_CELL]T343
[EMPTY_CELL]T436
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]N057
[EMPTY_CELL]N114
[EMPTY_CELL]N223
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]M075
[EMPTY_CELL]M121
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]01
[EMPTY_CELL]I13
[EMPTY_CELL]II38
[EMPTY_CELL]III23
[EMPTY_CELL]IV21
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Wild type70
[EMPTY_CELL]Mutation26
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Before treatment53
[EMPTY_CELL]After treatment43
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Variable\", \"bbox\": [231, 6, 269, 16]}, {\"cell\": \"Number of patients\", \"bbox\": [369, 6, 454, 16]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 23, 35, 34]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Male\", \"bbox\": [239, 40, 261, 51]}, {\"cell\": \"53\", \"bbox\": [406, 40, 418, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Female\", \"bbox\": [234, 57, 266, 68]}, {\"cell\": \"43\", \"bbox\": [406, 57, 418, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 74, 72, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<39\", \"bbox\": [241, 91, 259, 102]}, {\"cell\": \"3\", \"bbox\": [408, 91, 415, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"40-49\", \"bbox\": [237, 108, 263, 119]}, {\"cell\": \"5\", \"bbox\": [408, 108, 415, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"50-59\", \"bbox\": [237, 125, 263, 136]}, {\"cell\": \"19\", \"bbox\": [406, 125, 418, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"60-69\", \"bbox\": [237, 142, 263, 153]}, {\"cell\": \"32\", \"bbox\": [406, 142, 418, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"70-79\", \"bbox\": [237, 159, 263, 170]}, {\"cell\": \"19\", \"bbox\": [406, 159, 418, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"80-89\", \"bbox\": [237, 176, 263, 187]}, {\"cell\": \"17\", \"bbox\": [406, 176, 418, 187]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \">90\", \"bbox\": [241, 193, 259, 204]}, {\"cell\": \"1\", \"bbox\": [408, 193, 415, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 209, 36, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Tis\", \"bbox\": [243, 226, 257, 237]}, {\"cell\": \"1\", \"bbox\": [408, 226, 415, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"T1\", \"bbox\": [243, 243, 257, 254]}, {\"cell\": \"5\", \"bbox\": [408, 243, 415, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"T2\", \"bbox\": [243, 260, 257, 271]}, {\"cell\": \"11\", \"bbox\": [406, 260, 417, 271]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"T3\", \"bbox\": [243, 277, 257, 288]}, {\"cell\": \"43\", \"bbox\": [406, 277, 418, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"T4\", \"bbox\": [243, 294, 257, 305]}, {\"cell\": \"36\", \"bbox\": [406, 294, 418, 305]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 311, 41, 322]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"N0\", \"bbox\": [243, 328, 257, 339]}, {\"cell\": \"57\", \"bbox\": [406, 328, 418, 339]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"N1\", \"bbox\": [243, 345, 257, 356]}, {\"cell\": \"14\", \"bbox\": [406, 345, 418, 356]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"N2\", \"bbox\": [243, 362, 257, 373]}, {\"cell\": \"23\", \"bbox\": [406, 362, 418, 373]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 379, 40, 390]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"M0\", \"bbox\": [242, 396, 258, 407]}, {\"cell\": \"75\", \"bbox\": [406, 396, 418, 407]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"M1\", \"bbox\": [242, 413, 258, 424]}, {\"cell\": \"21\", \"bbox\": [406, 413, 418, 424]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 430, 66, 441]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0\", \"bbox\": [247, 447, 254, 458]}, {\"cell\": \"1\", \"bbox\": [408, 447, 415, 458]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"I\", \"bbox\": [247, 463, 253, 475]}, {\"cell\": \"13\", \"bbox\": [406, 463, 418, 475]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"II\", \"bbox\": [246, 480, 254, 491]}, {\"cell\": \"38\", \"bbox\": [406, 480, 418, 491]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"III\", \"bbox\": [244, 497, 256, 508]}, {\"cell\": \"23\", \"bbox\": [406, 497, 418, 508]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"IV\", \"bbox\": [244, 514, 256, 525]}, {\"cell\": \"21\", \"bbox\": [406, 514, 418, 525]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 531, 70, 542]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Wild type\", \"bbox\": [229, 548, 271, 559]}, {\"cell\": \"70\", \"bbox\": [406, 548, 418, 559]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Mutation\", \"bbox\": [231, 565, 269, 576]}, {\"cell\": \"26\", \"bbox\": [406, 565, 418, 576]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 582, 74, 593]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Before treatment\", \"bbox\": [215, 599, 285, 610]}, {\"cell\": \"53\", \"bbox\": [406, 599, 418, 610]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"After treatment\", \"bbox\": [218, 616, 282, 627]}, {\"cell\": \"43\", \"bbox\": [406, 616, 418, 627]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5685733_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Sample time[EMPTY_CELL]Cohen’s d (Trial Mean)Statistical significance (P values)
PreMidPost~12 h postTrial MeanTreatmentTimeTreatment x Time
Average torque (Nm)
Concentric knee flexor
PLA79.7 ± 21.277.9 ± 23.477.1 ± 20.8[EMPTY_CELL]77.6 ± 20.30.110.3270.9200.222
CAFF75.9 ± 19.880.6 ± 17.380.2 ± 20.1[EMPTY_CELL]79.8 ± 18.5
Concentric knee extensor
PLA104.4 ± 34.6105.0 ± 35.7111.8 ± 43.2[EMPTY_CELL]106.0 ± 35.50.290.0530.6780.257
CAFF112.6 ± 45.3115.7 ± 33.7114.4 ± 32.3[EMPTY_CELL]116.8 ± 37.8
Average power (Watts)
Concentric knee flexor
PLA25.7 ± 7.523.7 ± 6.524.0 ± 7.1[EMPTY_CELL]24.5 ± 6.60.110.2740.0760.385
CAFF24.8 ± 7.124.5 ± 7.424.5 ± 5.8[EMPTY_CELL]25.2 ± 6.6
Concentric knee extensor
PLA24.3 ± 8.723.8 ± 9.025.5 ± 9.2[EMPTY_CELL]24.3 ± 8.40.230.1510.3720.069
CAFF23.1 ± 8.026.7 ± 8.027.0 ± 8.1[EMPTY_CELL]26.2 ± 8.3
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Sample time\", \"bbox\": [115, 4, 157, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Cohen’s d (Trial Mean)\", \"bbox\": [297, 4, 336, 22]}, {\"cell\": \"Statistical significance (P values)\", \"bbox\": [365, 4, 468, 13]}, {\"cell\": \"Pre\", \"bbox\": [53, 17, 65, 27]}, {\"cell\": \"Mid\", \"bbox\": [103, 17, 117, 27]}, {\"cell\": \"Post\", \"bbox\": [154, 17, 170, 27]}, {\"cell\": \"~12 h post\", \"bbox\": [195, 17, 232, 27]}, {\"cell\": \"Trial Mean\", \"bbox\": [247, 17, 282, 27]}, {\"cell\": \"Treatment\", \"bbox\": [348, 17, 383, 27]}, {\"cell\": \"Time\", \"bbox\": [396, 17, 413, 27]}, {\"cell\": \"Treatment x Time\", \"bbox\": [426, 17, 484, 27]}, {\"cell\": \"Average torque (Nm)\", \"bbox\": [0, 30, 70, 40]}, {\"cell\": \" Concentric knee flexor\", \"bbox\": [8, 44, 78, 52]}, {\"cell\": \" PLA\", \"bbox\": [8, 58, 23, 68]}, {\"cell\": \"79.7 ± 21.2\", \"bbox\": [41, 58, 77, 68]}, {\"cell\": \"77.9 ± 23.4\", \"bbox\": [93, 58, 128, 68]}, {\"cell\": \"77.1 ± 20.8\", \"bbox\": [144, 58, 180, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 58, 231, 68]}, {\"cell\": \"77.6 ± 20.3\", \"bbox\": [247, 58, 283, 68]}, {\"cell\": \"0.11\", \"bbox\": [309, 58, 324, 68]}, {\"cell\": \"0.327\", \"bbox\": [356, 58, 375, 68]}, {\"cell\": \"0.920\", \"bbox\": [395, 58, 414, 68]}, {\"cell\": \"0.222\", \"bbox\": [446, 58, 464, 68]}, {\"cell\": \" CAFF\", \"bbox\": [8, 72, 27, 82]}, {\"cell\": \"75.9 ± 19.8\", \"bbox\": [41, 72, 77, 82]}, {\"cell\": \"80.6 ± 17.3\", \"bbox\": [93, 72, 128, 82]}, {\"cell\": \"80.2 ± 20.1\", \"bbox\": [144, 72, 180, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 72, 231, 82]}, {\"cell\": \"79.8 ± 18.5\", \"bbox\": [247, 72, 283, 82]}, {\"cell\": \" Concentric knee extensor\", \"bbox\": [8, 86, 87, 94]}, {\"cell\": \" PLA\", \"bbox\": [8, 100, 23, 110]}, {\"cell\": \"104.4 ± 34.6\", \"bbox\": [39, 100, 78, 110]}, {\"cell\": \"105.0 ± 35.7\", \"bbox\": [91, 100, 130, 110]}, {\"cell\": \"111.8 ± 43.2\", \"bbox\": [142, 100, 181, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [194, 100, 233, 110]}, {\"cell\": \"106.0 ± 35.5\", \"bbox\": [245, 100, 284, 110]}, {\"cell\": \"0.29\", \"bbox\": [309, 100, 324, 110]}, {\"cell\": \"0.053\", \"bbox\": [356, 100, 375, 110]}, {\"cell\": \"0.678\", \"bbox\": [395, 100, 414, 110]}, {\"cell\": \"0.257\", \"bbox\": [446, 100, 464, 110]}, {\"cell\": \" CAFF\", \"bbox\": [8, 114, 27, 124]}, {\"cell\": \"112.6 ± 45.3\", \"bbox\": [39, 114, 78, 124]}, {\"cell\": \"115.7 ± 33.7\", \"bbox\": [91, 114, 130, 124]}, {\"cell\": \"114.4 ± 32.3\", \"bbox\": [142, 114, 181, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [194, 114, 233, 124]}, {\"cell\": \"116.8 ± 37.8\", \"bbox\": [245, 114, 284, 124]}, {\"cell\": \"Average power (Watts)\", \"bbox\": [0, 128, 76, 138]}, {\"cell\": \" Concentric knee flexor\", \"bbox\": [8, 142, 78, 150]}, {\"cell\": \" PLA\", \"bbox\": [8, 156, 23, 166]}, {\"cell\": \"25.7 ± 7.5\", \"bbox\": [43, 156, 75, 166]}, {\"cell\": \"23.7 ± 6.5\", \"bbox\": [94, 156, 126, 166]}, {\"cell\": \"24.0 ± 7.1\", \"bbox\": [146, 156, 178, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [197, 156, 229, 166]}, {\"cell\": \"24.5 ± 6.6\", \"bbox\": [249, 156, 281, 166]}, {\"cell\": \"0.11\", \"bbox\": [309, 156, 324, 166]}, {\"cell\": \"0.274\", \"bbox\": [356, 156, 375, 166]}, {\"cell\": \"0.076\", \"bbox\": [395, 156, 414, 166]}, {\"cell\": \"0.385\", \"bbox\": [446, 156, 464, 166]}, {\"cell\": \" CAFF\", \"bbox\": [8, 170, 27, 180]}, {\"cell\": \"24.8 ± 7.1\", \"bbox\": [43, 170, 75, 180]}, {\"cell\": \"24.5 ± 7.4\", \"bbox\": [94, 170, 126, 180]}, {\"cell\": \"24.5 ± 5.8\", \"bbox\": [146, 170, 178, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [197, 170, 229, 180]}, {\"cell\": \"25.2 ± 6.6\", \"bbox\": [249, 170, 281, 180]}, {\"cell\": \" Concentric knee extensor\", \"bbox\": [8, 184, 87, 192]}, {\"cell\": \" PLA\", \"bbox\": [8, 198, 23, 208]}, {\"cell\": \"24.3 ± 8.7\", \"bbox\": [43, 198, 75, 208]}, {\"cell\": \"23.8 ± 9.0\", \"bbox\": [94, 198, 126, 208]}, {\"cell\": \"25.5 ± 9.2\", \"bbox\": [146, 198, 178, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [197, 198, 229, 208]}, {\"cell\": \"24.3 ± 8.4\", \"bbox\": [249, 198, 281, 208]}, {\"cell\": \"0.23\", \"bbox\": [309, 198, 324, 208]}, {\"cell\": \"0.151\", \"bbox\": [356, 198, 375, 208]}, {\"cell\": \"0.372\", \"bbox\": [395, 198, 414, 208]}, {\"cell\": \"0.069\", \"bbox\": [446, 198, 464, 208]}, {\"cell\": \" CAFF\", \"bbox\": [8, 212, 27, 222]}, {\"cell\": \"23.1 ± 8.0\", \"bbox\": [43, 212, 75, 222]}, {\"cell\": \"26.7 ± 8.0\", \"bbox\": [94, 212, 126, 222]}, {\"cell\": \"27.0 ± 8.1\", \"bbox\": [146, 212, 178, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [197, 212, 229, 222]}, {\"cell\": \"26.2 ± 8.3\", \"bbox\": [249, 212, 281, 222]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5139084_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Primary VaccineGroup A–Specific IgG1 GMCs (95% CI), μg/mL
Week 0Week 4Week 40RevaccinationWeek 41Week 44
PsA-TTa0.46 (.40–.52)21.73 (19.14–24.67)1.29 (1.12–1.48)PsA-TT[EMPTY_CELL]69.13 (51.60–92.61)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]PsACWY[EMPTY_CELL]19.20 (14.72–25.04)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]Hib-TT[EMPTY_CELL]1.61 (1.09–2.37)
PsACWYb0.62 (.54–.70)2.01 (1.74–2.33)0.82 (.71–.94)PsA-TT[EMPTY_CELL]27.03 (19.23–38.00)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]PsACWY[EMPTY_CELL]2.98 (2.26–3.94)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]Hib-TT[EMPTY_CELL]0.73 (.57–.93)
Hib-TTcNANA0.44 (.36–.53)PsA-TT[EMPTY_CELL]20.47 (13.78–30.41)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]PsACWY[EMPTY_CELL]1.88 (1.26–2.80)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]Hib-TT[EMPTY_CELL]0.38 (.27–.53)
\", \"cells\": [{\"cell\": \"Primary Vaccine\", \"bbox\": [0, 26, 59, 36]}, {\"cell\": \"Group A–Specific IgG1 GMCs (95% CI), μg/mL\", \"bbox\": [200, 8, 367, 18]}, {\"cell\": \"Week 0\", \"bbox\": [78, 26, 108, 36]}, {\"cell\": \"Week 4\", \"bbox\": [149, 26, 178, 36]}, {\"cell\": \"Week 40\", \"bbox\": [221, 26, 255, 36]}, {\"cell\": \"Revaccination\", \"bbox\": [277, 26, 327, 36]}, {\"cell\": \"Week 41\", \"bbox\": [360, 26, 394, 36]}, {\"cell\": \"Week 44\", \"bbox\": [446, 26, 479, 36]}, {\"cell\": \"PsA-TTa\", \"bbox\": [1, 40, 30, 51]}, {\"cell\": \"0.46 (.40–.52)\", \"bbox\": [68, 41, 118, 51]}, {\"cell\": \"21.73 (19.14–24.67)\", \"bbox\": [127, 41, 199, 51]}, {\"cell\": \"1.29 (1.12–1.48)\", \"bbox\": [209, 41, 267, 51]}, {\"cell\": \"PsA-TT\", \"bbox\": [285, 41, 312, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [336, 41, 417, 51]}, {\"cell\": \"69.13 (51.60–92.61)\", \"bbox\": [426, 41, 499, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"PsACWY\", \"bbox\": [285, 53, 319, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [341, 53, 413, 63]}, {\"cell\": \"19.20 (14.72–25.04)\", \"bbox\": [426, 53, 499, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Hib-TT\", \"bbox\": [285, 65, 310, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 65, 404, 75]}, {\"cell\": \"1.61 (1.09–2.37)\", \"bbox\": [431, 65, 490, 75]}, {\"cell\": \"PsACWYb\", \"bbox\": [1, 76, 38, 87]}, {\"cell\": \"0.62 (.54–.70)\", \"bbox\": [68, 77, 118, 87]}, {\"cell\": \"2.01 (1.74–2.33)\", \"bbox\": [132, 77, 190, 87]}, {\"cell\": \"0.82 (.71–.94)\", \"bbox\": [209, 77, 259, 87]}, {\"cell\": \"PsA-TT\", \"bbox\": [285, 77, 312, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [341, 77, 413, 87]}, {\"cell\": \"27.03 (19.23–38.00)\", \"bbox\": [426, 77, 499, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"PsACWY\", \"bbox\": [285, 89, 319, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 89, 404, 99]}, {\"cell\": \"2.98 (2.26–3.94)\", \"bbox\": [431, 89, 490, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Hib-TT\", \"bbox\": [285, 101, 310, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 101, 395, 111]}, {\"cell\": \"0.73 (.57–.93)\", \"bbox\": [431, 101, 481, 111]}, {\"cell\": \"Hib-TTc\", \"bbox\": [1, 112, 28, 123]}, {\"cell\": \"NA\", \"bbox\": [86, 113, 100, 123]}, {\"cell\": \"NA\", \"bbox\": [157, 113, 170, 123]}, {\"cell\": \"0.44 (.36–.53)\", \"bbox\": [209, 113, 259, 123]}, {\"cell\": \"PsA-TT\", \"bbox\": [285, 113, 312, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [341, 113, 413, 123]}, {\"cell\": \"20.47 (13.78–30.41)\", \"bbox\": [426, 113, 499, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"PsACWY\", \"bbox\": [285, 125, 319, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 125, 404, 135]}, {\"cell\": \"1.88 (1.26–2.80)\", \"bbox\": [431, 125, 490, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Hib-TT\", \"bbox\": [285, 137, 310, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 137, 395, 147]}, {\"cell\": \"0.38 (.27–.53)\", \"bbox\": [431, 137, 481, 147]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4639486_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Nucleus/areaAnterogradely- labeled NI fibersRelaxin-3 IR
Medial nucleus (Me)[EMPTY_CELL][EMPTY_CELL]
Medial nucleus anterodorsal part (MeAD)++++[EMPTY_CELL]
Medial nucleus anteroventral part (MeAV)++++[EMPTY_CELL]
Medial nucleus posterodorsal part (MePD)+[EMPTY_CELL]
Medial nucleus posteroventral part (MePV)++[EMPTY_CELL]
Central nucleus (Ce)[EMPTY_CELL][EMPTY_CELL]
Central nucleus medial division (CeM)+[EMPTY_CELL]
Central nucleus lateral division (CeL)+[EMPTY_CELL]
Central nucleus capsular division (CeC)+[EMPTY_CELL]
Amygdalostriatal transition area (ASt)+[EMPTY_CELL]
Anterior amygdaloid area (AA)+++[EMPTY_CELL]
Intercalated nuclei (I)++[EMPTY_CELL]
Bed nucleus of the stria terminalis (ST)[EMPTY_CELL][EMPTY_CELL]
Intraamygdala part (STIA)+++[EMPTY_CELL]
Supracapsular part (STSC)+[EMPTY_CELL]
Medial anterior (STMA)+++[EMPTY_CELL]
Medial ventral (STMV)+++[EMPTY_CELL]
Lateral division (STL)−[EMPTY_CELL]
Lateral dorsal (STLD)−[EMPTY_CELL]
Lateral intermediate (STLI)−[EMPTY_CELL]
Lateral juxtacapsular (STLJ)+[EMPTY_CELL]
Lateral posterior (STLP)−[EMPTY_CELL]
Fusiform nucleus (Fu)−[EMPTY_CELL]
Parastriatal nucleus (PS)−[EMPTY_CELL]
Bed nucleus of the anterior commissure (BAC)−[EMPTY_CELL]
Sublenticular extended amygdala (SLEA)+[EMPTY_CELL]
Sublenticular substantia innominata (SI)−[EMPTY_CELL]
Interstitial nucleus of the+[EMPTY_CELL]
posterior limb of the anterior[EMPTY_CELL][EMPTY_CELL]
commissure (IPAC)[EMPTY_CELL][EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Nucleus/area\", \"bbox\": [1, 8, 47, 16]}, {\"cell\": \"Anterogradely- labeled NI fibers\", \"bbox\": [150, 8, 206, 26]}, {\"cell\": \"Relaxin-3 IR\", \"bbox\": [214, 8, 247, 26]}, {\"cell\": \"Medial nucleus (Me)\", \"bbox\": [1, 36, 62, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Medial nucleus anterodorsal part (MeAD)\", \"bbox\": [1, 46, 124, 54]}, {\"cell\": \"++++\", \"bbox\": [168, 46, 187, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [223, 46, 238, 54]}, {\"cell\": \"Medial nucleus anteroventral part (MeAV)\", \"bbox\": [1, 55, 125, 64]}, {\"cell\": \"++++\", \"bbox\": [168, 55, 187, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [223, 55, 238, 64]}, {\"cell\": \"Medial nucleus posterodorsal part (MePD)\", \"bbox\": [1, 65, 128, 73]}, {\"cell\": \"+\", \"bbox\": [175, 65, 181, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 65, 234, 73]}, {\"cell\": \"Medial nucleus posteroventral part (MePV)\", \"bbox\": [1, 74, 129, 83]}, {\"cell\": \"++\", \"bbox\": [172, 74, 183, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 74, 236, 83]}, {\"cell\": \"Central nucleus (Ce)\", \"bbox\": [1, 84, 63, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Central nucleus medial division (CeM)\", \"bbox\": [1, 93, 114, 102]}, {\"cell\": \"+\", \"bbox\": [175, 93, 181, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 93, 234, 102]}, {\"cell\": \"Central nucleus lateral division (CeL)\", \"bbox\": [1, 103, 110, 111]}, {\"cell\": \"+\", \"bbox\": [175, 103, 181, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 103, 234, 111]}, {\"cell\": \"Central nucleus capsular division (CeC)\", \"bbox\": [1, 112, 119, 121]}, {\"cell\": \"+\", \"bbox\": [175, 112, 181, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 112, 234, 121]}, {\"cell\": \"Amygdalostriatal transition area (ASt)\", \"bbox\": [1, 121, 112, 130]}, {\"cell\": \"+\", \"bbox\": [175, 121, 181, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 121, 234, 130]}, {\"cell\": \"Anterior amygdaloid area (AA)\", \"bbox\": [1, 131, 91, 139]}, {\"cell\": \"+++\", \"bbox\": [170, 131, 185, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [223, 131, 238, 139]}, {\"cell\": \"Intercalated nuclei (I)\", \"bbox\": [1, 140, 63, 149]}, {\"cell\": \"++\", \"bbox\": [172, 140, 183, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 140, 236, 149]}, {\"cell\": \"Bed nucleus of the stria terminalis (ST)\", \"bbox\": [1, 150, 117, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Intraamygdala part (STIA)\", \"bbox\": [1, 159, 78, 168]}, {\"cell\": \"+++\", \"bbox\": [170, 159, 185, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [223, 159, 238, 168]}, {\"cell\": \"Supracapsular part (STSC)\", \"bbox\": [1, 169, 83, 177]}, {\"cell\": \"+\", \"bbox\": [175, 169, 181, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 169, 234, 177]}, {\"cell\": \"Medial anterior (STMA)\", \"bbox\": [1, 178, 70, 187]}, {\"cell\": \"+++\", \"bbox\": [170, 178, 185, 187]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 178, 236, 187]}, {\"cell\": \"Medial ventral (STMV)\", \"bbox\": [1, 188, 67, 196]}, {\"cell\": \"+++\", \"bbox\": [170, 188, 185, 196]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 188, 236, 196]}, {\"cell\": \"Lateral division (STL)\", \"bbox\": [1, 197, 64, 206]}, {\"cell\": \"−\", \"bbox\": [174, 200, 181, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [227, 200, 234, 204]}, {\"cell\": \"Lateral dorsal (STLD)\", \"bbox\": [1, 207, 65, 215]}, {\"cell\": \"−\", \"bbox\": [174, 210, 181, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [227, 210, 234, 214]}, {\"cell\": \"Lateral intermediate (STLI)\", \"bbox\": [1, 216, 80, 225]}, {\"cell\": \"−\", \"bbox\": [174, 219, 181, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [227, 219, 234, 223]}, {\"cell\": \"Lateral juxtacapsular (STLJ)\", \"bbox\": [1, 226, 85, 234]}, {\"cell\": \"+\", \"bbox\": [175, 226, 181, 234]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 226, 236, 234]}, {\"cell\": \"Lateral posterior (STLP)\", \"bbox\": [1, 235, 73, 244]}, {\"cell\": \"−\", \"bbox\": [174, 238, 181, 242]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [227, 238, 234, 242]}, {\"cell\": \"Fusiform nucleus (Fu)\", \"bbox\": [1, 245, 66, 253]}, {\"cell\": \"−\", \"bbox\": [174, 248, 181, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [227, 248, 234, 252]}, {\"cell\": \"Parastriatal nucleus (PS)\", \"bbox\": [1, 254, 75, 262]}, {\"cell\": \"−\", \"bbox\": [174, 257, 181, 261]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [227, 257, 234, 261]}, {\"cell\": \"Bed nucleus of the anterior commissure (BAC)\", \"bbox\": [1, 263, 141, 272]}, {\"cell\": \"−\", \"bbox\": [174, 267, 181, 271]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [227, 267, 234, 271]}, {\"cell\": \"Sublenticular extended amygdala (SLEA)\", \"bbox\": [1, 273, 124, 281]}, {\"cell\": \"+\", \"bbox\": [175, 273, 181, 281]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 273, 234, 281]}, {\"cell\": \"Sublenticular substantia innominata (SI)\", \"bbox\": [1, 282, 120, 291]}, {\"cell\": \"−\", \"bbox\": [174, 286, 181, 289]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [227, 286, 234, 289]}, {\"cell\": \"Interstitial nucleus of the\", \"bbox\": [1, 292, 75, 300]}, {\"cell\": \"+\", \"bbox\": [175, 292, 181, 300]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 292, 234, 300]}, {\"cell\": \"posterior limb of the anterior\", \"bbox\": [1, 301, 87, 310]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"commissure (IPAC)\", \"bbox\": [1, 311, 59, 319]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4823275_005_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL][EMPTY_CELL]No.Survival statusP value[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]1-year2-yearMedianUnivariateMultivariate
Pre-LT[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
GenderFemale4[EMPTY_CELL]02.70.2410.428
[EMPTY_CELL]Male26[EMPTY_CELL]29.08.6[EMPTY_CELL][EMPTY_CELL]
Age (years)≤5017[EMPTY_CELL]21.28.60.6970.180
[EMPTY_CELL]>5013[EMPTY_CELL]19.215.1[EMPTY_CELL][EMPTY_CELL]
HbsAg-3[EMPTY_CELL]05.00.1900.201
[EMPTY_CELL]+27[EMPTY_CELL]27.19.8[EMPTY_CELL][EMPTY_CELL]
Γ-GT≤7514[EMPTY_CELL]21.411.20.8140.099
[EMPTY_CELL]>7516[EMPTY_CELL]20.06.3[EMPTY_CELL][EMPTY_CELL]
AFP≤40016[EMPTY_CELL]23.48.60.7380.557
[EMPTY_CELL]>40014[EMPTY_CELL]17.16.3[EMPTY_CELL][EMPTY_CELL]
Child-Pugh ClassificationA22[EMPTY_CELL]21.26.30.2400.099
[EMPTY_CELL]B8[EMPTY_CELL]33.316.6[EMPTY_CELL][EMPTY_CELL]
Shanghai criteriaExceeding14[EMPTY_CELL]12.98.60.9620.570
[EMPTY_CELL]Within16[EMPTY_CELL]18.87.9[EMPTY_CELL][EMPTY_CELL]
UCSFExceeding18[EMPTY_CELL]8.58.60.5970.972
[EMPTY_CELL]Within12[EMPTY_CELL]33.36.3[EMPTY_CELL][EMPTY_CELL]
MilanExceeding20[EMPTY_CELL]2011.20.9390.364
[EMPTY_CELL]Within10[EMPTY_CELL]204.1[EMPTY_CELL][EMPTY_CELL]
Interval between diagnosis of HCC and LT≤0.5 year17[EMPTY_CELL]22.18.60.9470.976
[EMPTY_CELL]>0.5 year13[EMPTY_CELL]18.59.8[EMPTY_CELL][EMPTY_CELL]
Post-LT[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
KPS≥8014[EMPTY_CELL]30.115.60.0320.003
[EMPTY_CELL]<8016[EMPTY_CELL]12.54.1[EMPTY_CELL][EMPTY_CELL]
Γ-GT≤7511[EMPTY_CELL]31.823.90.1160.385
[EMPTY_CELL]>7519[EMPTY_CELL]14.06.3[EMPTY_CELL][EMPTY_CELL]
AFP≤40015[EMPTY_CELL]25.011.20.5310.926
[EMPTY_CELL]>40015[EMPTY_CELL]16.05.0[EMPTY_CELL][EMPTY_CELL]
Child-Pugh ClassificationA23[EMPTY_CELL]27.311.20.2090.294
[EMPTY_CELL]B7[EMPTY_CELL]06.3[EMPTY_CELL][EMPTY_CELL]
Soft-tissue extensionAbsent23[EMPTY_CELL]19.97.90.4700.974
[EMPTY_CELL]Present7[EMPTY_CELL]19.023.9[EMPTY_CELL][EMPTY_CELL]
No. of bone metastasesSolitary14[EMPTY_CELL]25.715.60.2450.456
[EMPTY_CELL]≥2 sites16[EMPTY_CELL]15.67.9[EMPTY_CELL][EMPTY_CELL]
Intrahepatic tumor controluncontrolled10[EMPTY_CELL]10.03.00.0030.008
[EMPTY_CELL]Well-controlled20[EMPTY_CELL]31.415.1[EMPTY_CELL][EMPTY_CELL]
Concurrent metastasesAbsent15[EMPTY_CELL]15.64.10.5650.170
[EMPTY_CELL]Present15[EMPTY_CELL]24.09.8[EMPTY_CELL][EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No.\", \"bbox\": [222, 4, 235, 13]}, {\"cell\": \"Survival status\", \"bbox\": [252, 4, 304, 13]}, {\"cell\": \"P value\", \"bbox\": [375, 4, 403, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1-year\", \"bbox\": [252, 17, 275, 27]}, {\"cell\": \"2-year\", \"bbox\": [292, 17, 315, 27]}, {\"cell\": \"Median\", \"bbox\": [331, 17, 359, 27]}, {\"cell\": \"Univariate\", \"bbox\": [375, 17, 413, 27]}, {\"cell\": \"Multivariate\", \"bbox\": [429, 17, 472, 27]}, {\"cell\": \"Pre-LT\", \"bbox\": [1, 30, 22, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Gender\", \"bbox\": [1, 44, 26, 53]}, {\"cell\": \"Female\", \"bbox\": [155, 44, 180, 53]}, {\"cell\": \"4\", \"bbox\": [222, 44, 228, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 44, 266, 53]}, {\"cell\": \"0\", \"bbox\": [292, 44, 297, 53]}, {\"cell\": \"2.7\", \"bbox\": [331, 44, 342, 53]}, {\"cell\": \"0.241\", \"bbox\": [375, 44, 394, 53]}, {\"cell\": \"0.428\", \"bbox\": [429, 44, 447, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Male\", \"bbox\": [155, 57, 172, 66]}, {\"cell\": \"26\", \"bbox\": [222, 57, 231, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 57, 266, 66]}, {\"cell\": \"29.0\", \"bbox\": [292, 57, 306, 66]}, {\"cell\": \"8.6\", \"bbox\": [331, 57, 342, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Age (years)\", \"bbox\": [1, 70, 38, 79]}, {\"cell\": \"≤50\", \"bbox\": [155, 70, 170, 79]}, {\"cell\": \"17\", \"bbox\": [222, 70, 231, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 70, 266, 79]}, {\"cell\": \"21.2\", \"bbox\": [292, 70, 306, 79]}, {\"cell\": \"8.6\", \"bbox\": [331, 70, 342, 79]}, {\"cell\": \"0.697\", \"bbox\": [375, 70, 394, 79]}, {\"cell\": \"0.180\", \"bbox\": [429, 70, 447, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \">50\", \"bbox\": [155, 83, 170, 93]}, {\"cell\": \"13\", \"bbox\": [222, 83, 231, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 83, 266, 93]}, {\"cell\": \"19.2\", \"bbox\": [292, 83, 306, 93]}, {\"cell\": \"15.1\", \"bbox\": [331, 83, 346, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"HbsAg\", \"bbox\": [1, 96, 24, 106]}, {\"cell\": \"-\", \"bbox\": [155, 96, 160, 106]}, {\"cell\": \"3\", \"bbox\": [222, 96, 228, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 96, 257, 106]}, {\"cell\": \"0\", \"bbox\": [292, 96, 297, 106]}, {\"cell\": 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\"bbox\": [155, 321, 170, 330]}, {\"cell\": \"14\", \"bbox\": [222, 321, 231, 330]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 321, 266, 330]}, {\"cell\": \"30.1\", \"bbox\": [292, 321, 306, 330]}, {\"cell\": \"15.6\", \"bbox\": [331, 321, 346, 330]}, {\"cell\": \"0.032\", \"bbox\": [375, 321, 394, 330]}, {\"cell\": \"0.003\", \"bbox\": [429, 321, 447, 330]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<80\", \"bbox\": [155, 334, 170, 343]}, {\"cell\": \"16\", \"bbox\": [222, 334, 231, 343]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 334, 266, 343]}, {\"cell\": \"12.5\", \"bbox\": [292, 334, 306, 343]}, {\"cell\": \"4.1\", \"bbox\": [331, 334, 342, 343]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Γ-GT\", \"bbox\": [1, 347, 18, 357]}, {\"cell\": \"≤75\", \"bbox\": [155, 347, 170, 357]}, {\"cell\": \"11\", \"bbox\": [222, 347, 231, 357]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 347, 266, 357]}, {\"cell\": 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{\"cell\": \"0.926\", \"bbox\": [429, 373, 447, 383]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \">400\", \"bbox\": [155, 387, 173, 396]}, {\"cell\": \"15\", \"bbox\": [222, 387, 231, 396]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 387, 266, 396]}, {\"cell\": \"16.0\", \"bbox\": [292, 387, 306, 396]}, {\"cell\": \"5.0\", \"bbox\": [331, 387, 342, 396]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Child-Pugh Classification\", \"bbox\": [1, 400, 81, 409]}, {\"cell\": \"A\", \"bbox\": [155, 400, 162, 409]}, {\"cell\": \"23\", \"bbox\": [222, 400, 231, 409]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 400, 266, 409]}, {\"cell\": \"27.3\", \"bbox\": [292, 400, 306, 409]}, {\"cell\": \"11.2\", \"bbox\": [331, 400, 346, 409]}, {\"cell\": \"0.209\", \"bbox\": [375, 400, 394, 409]}, {\"cell\": \"0.294\", \"bbox\": [429, 400, 447, 409]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"B\", \"bbox\": [155, 413, 161, 423]}, {\"cell\": \"7\", \"bbox\": [222, 413, 228, 423]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 413, 266, 423]}, {\"cell\": \"0\", \"bbox\": [292, 413, 297, 423]}, {\"cell\": \"6.3\", \"bbox\": [331, 413, 342, 423]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Soft-tissue extension\", \"bbox\": [1, 426, 68, 436]}, {\"cell\": \"Absent\", \"bbox\": [155, 426, 180, 436]}, {\"cell\": \"23\", \"bbox\": [222, 426, 231, 436]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 426, 266, 436]}, {\"cell\": \"19.9\", \"bbox\": [292, 426, 306, 436]}, {\"cell\": \"7.9\", \"bbox\": [331, 426, 342, 436]}, {\"cell\": \"0.470\", \"bbox\": [375, 426, 394, 436]}, {\"cell\": \"0.974\", \"bbox\": [429, 426, 447, 436]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Present\", \"bbox\": [155, 440, 181, 449]}, {\"cell\": \"7\", \"bbox\": [222, 440, 228, 449]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 440, 266, 449]}, {\"cell\": 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\"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Intrahepatic tumor control\", \"bbox\": [1, 479, 88, 489]}, {\"cell\": \"uncontrolled\", \"bbox\": [155, 479, 198, 489]}, {\"cell\": \"10\", \"bbox\": [222, 479, 231, 489]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 479, 267, 489]}, {\"cell\": \"10.0\", \"bbox\": [292, 479, 306, 489]}, {\"cell\": \"3.0\", \"bbox\": [331, 479, 342, 489]}, {\"cell\": \"0.003\", \"bbox\": [375, 479, 394, 489]}, {\"cell\": \"0.008\", \"bbox\": [429, 479, 447, 489]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Well-controlled\", \"bbox\": [155, 492, 205, 502]}, {\"cell\": \"20\", \"bbox\": [222, 492, 231, 502]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 492, 266, 502]}, {\"cell\": \"31.4\", \"bbox\": [292, 492, 306, 502]}, {\"cell\": \"15.1\", \"bbox\": [331, 492, 346, 502]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Concurrent metastases\", \"bbox\": [1, 506, 75, 515]}, {\"cell\": \"Absent\", \"bbox\": [155, 506, 180, 515]}, {\"cell\": \"15\", \"bbox\": [222, 506, 231, 515]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 506, 267, 515]}, {\"cell\": \"15.6\", \"bbox\": [292, 506, 306, 515]}, {\"cell\": \"4.1\", \"bbox\": [331, 506, 342, 515]}, {\"cell\": \"0.565\", \"bbox\": [375, 506, 394, 515]}, {\"cell\": \"0.170\", \"bbox\": [429, 506, 447, 515]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Present\", \"bbox\": [155, 519, 181, 528]}, {\"cell\": \"15\", \"bbox\": [222, 519, 231, 528]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 519, 267, 528]}, {\"cell\": \"24.0\", \"bbox\": [292, 519, 306, 528]}, {\"cell\": \"9.8\", \"bbox\": [331, 519, 342, 528]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3298548_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]All patients (n = 48)CRT Responders (n = 34, 71%)CRT Nonresponders (n = 14, 29%)p Value
Atrioventricular dyssynchrony, n (%)23 (48%)16 (47%)7 (50%)[EMPTY_CELL]
IVMD >40 ms, n (%)38 (79%)31 (91%)7 (50%)[EMPTY_CELL]
LVPEI (ms)171 ± 27175 ± 27164 ± 28[EMPTY_CELL]
DTI septo-lateral delay (ms)110 [74;161]114 [74;189]93 [72;117][EMPTY_CELL]
Septal Flash, n (%)30 (63%)27 (79%)3 (21%)[EMPTY_CELL]
Mean strain peak (%)−10.2 [−11.6;-9.2]−10.6 [−11.7;-9.6]−9.7 [−11.3;-8.4][EMPTY_CELL]
SDtpeak (ms)104 [80;123]101 [80;123]107 [66;121][EMPTY_CELL]
Mean IL,peak (%.s-1)1.68 ± 0.591.80 ± 0.621.39 ± 0.41[EMPTY_CELL]
Mean I^avc (%.s−1)0.62 [0.34;0.90]0.76 [0.44;0.92]0.45 [0.24;0.77][EMPTY_CELL]
SDIL,peak (%.s−1)1.09 [0.82;1.32]1.18 [0.96;1.35]0.83 [0.55;0.99][EMPTY_CELL]
SDIL,avc (%.s-1)0.85 ± 0.370.90 ± 0.350.72 ± 0.39[EMPTY_CELL]
DiffInt (%.s-1)0.57 ± 0.50.61 ± 0.470.47 ± 0.58[EMPTY_CELL]
MSDI (ms)0.35 ± 0.160.37 ± 0.160.29 ± 0.14[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"All patients (n = 48)\", \"bbox\": [134, 4, 199, 13]}, {\"cell\": \"CRT Responders (n = 34, 71%)\", \"bbox\": [216, 4, 315, 13]}, {\"cell\": \"CRT Nonresponders (n = 14, 29%)\", \"bbox\": [332, 4, 442, 13]}, {\"cell\": \"p Value\", \"bbox\": [459, 4, 484, 13]}, {\"cell\": \"Atrioventricular dyssynchrony, n (%)\", \"bbox\": [1, 17, 117, 27]}, {\"cell\": \"23 (48%)\", \"bbox\": [134, 17, 164, 27]}, {\"cell\": \"16 (47%)\", \"bbox\": [216, 17, 246, 27]}, {\"cell\": \"7 (50%)\", \"bbox\": [332, 17, 357, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 17, 477, 27]}, {\"cell\": \"IVMD >40 ms, n (%)\", \"bbox\": [1, 31, 66, 41]}, {\"cell\": \"38 (79%)\", \"bbox\": [134, 31, 164, 41]}, {\"cell\": \"31 (91%)\", \"bbox\": [216, 31, 246, 41]}, {\"cell\": \"7 (50%)\", \"bbox\": [332, 31, 357, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 31, 481, 41]}, {\"cell\": \"LVPEI (ms)\", \"bbox\": [1, 45, 35, 55]}, {\"cell\": \"171 ± 27\", \"bbox\": [134, 45, 165, 55]}, {\"cell\": \"175 ± 27\", \"bbox\": [216, 45, 247, 55]}, {\"cell\": \"164 ± 28\", \"bbox\": [332, 45, 362, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 45, 477, 55]}, {\"cell\": \"DTI septo-lateral delay (ms)\", \"bbox\": [1, 59, 90, 69]}, {\"cell\": \"110 [74;161]\", \"bbox\": [134, 59, 174, 69]}, {\"cell\": \"114 [74;189]\", \"bbox\": [216, 59, 257, 69]}, {\"cell\": \"93 [72;117]\", \"bbox\": [332, 59, 368, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 59, 477, 69]}, {\"cell\": \"Septal Flash, n (%)\", \"bbox\": [1, 73, 61, 83]}, {\"cell\": \"30 (63%)\", \"bbox\": [134, 73, 164, 83]}, {\"cell\": \"27 (79%)\", \"bbox\": [216, 73, 246, 83]}, {\"cell\": \"3 (21%)\", \"bbox\": [332, 73, 357, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 73, 481, 83]}, {\"cell\": \"Mean strain peak (%)\", \"bbox\": [1, 87, 70, 97]}, {\"cell\": \"−10.2 [−11.6;-9.2]\", \"bbox\": [134, 87, 190, 97]}, {\"cell\": \"−10.6 [−11.7;-9.6]\", \"bbox\": [216, 87, 273, 97]}, {\"cell\": \"−9.7 [−11.3;-8.4]\", \"bbox\": [332, 87, 384, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 87, 477, 97]}, {\"cell\": \"SDtpeak (ms)\", \"bbox\": [1, 99, 39, 111]}, {\"cell\": \"104 [80;123]\", \"bbox\": [134, 101, 174, 111]}, {\"cell\": \"101 [80;123]\", \"bbox\": [216, 101, 257, 111]}, {\"cell\": \"107 [66;121]\", \"bbox\": [332, 101, 372, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 101, 477, 111]}, {\"cell\": \"Mean IL,peak (%.s-1)\", \"bbox\": [1, 113, 59, 125]}, {\"cell\": \"1.68 ± 0.59\", \"bbox\": [134, 115, 171, 125]}, {\"cell\": \"1.80 ± 0.62\", \"bbox\": [216, 115, 253, 125]}, {\"cell\": \"1.39 ± 0.41\", \"bbox\": [332, 115, 369, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 115, 481, 125]}, {\"cell\": \"Mean I^avc (%.s−1)\", \"bbox\": [1, 127, 63, 139]}, {\"cell\": \"0.62 [0.34;0.90]\", \"bbox\": [134, 129, 182, 139]}, {\"cell\": \"0.76 [0.44;0.92]\", \"bbox\": [216, 129, 265, 139]}, {\"cell\": \"0.45 [0.24;0.77]\", \"bbox\": [332, 129, 380, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 129, 477, 139]}, {\"cell\": \"SDIL,peak (%.s−1)\", \"bbox\": [1, 141, 56, 153]}, {\"cell\": \"1.09 [0.82;1.32]\", \"bbox\": [134, 143, 182, 153]}, {\"cell\": \"1.18 [0.96;1.35]\", \"bbox\": [216, 143, 265, 153]}, {\"cell\": \"0.83 [0.55;0.99]\", \"bbox\": [332, 143, 380, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 143, 481, 153]}, {\"cell\": \"SDIL,avc (%.s-1)\", \"bbox\": [1, 155, 50, 167]}, {\"cell\": \"0.85 ± 0.37\", \"bbox\": [134, 157, 171, 167]}, {\"cell\": \"0.90 ± 0.35\", \"bbox\": [216, 157, 253, 167]}, {\"cell\": \"0.72 ± 0.39\", \"bbox\": [332, 157, 369, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 157, 477, 167]}, {\"cell\": \"DiffInt (%.s-1)\", \"bbox\": [1, 169, 42, 181]}, {\"cell\": \"0.57 ± 0.5\", \"bbox\": [134, 171, 167, 181]}, {\"cell\": \"0.61 ± 0.47\", \"bbox\": [216, 171, 253, 181]}, {\"cell\": \"0.47 ± 0.58\", \"bbox\": [332, 171, 369, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 171, 477, 181]}, {\"cell\": \"MSDI (ms)\", \"bbox\": [1, 185, 35, 195]}, {\"cell\": \"0.35 ± 0.16\", \"bbox\": [134, 185, 171, 195]}, {\"cell\": \"0.37 ± 0.16\", \"bbox\": [216, 185, 253, 195]}, {\"cell\": \"0.29 ± 0.14\", \"bbox\": [332, 185, 369, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 185, 477, 195]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5474004_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]NEGPATSRBAUT
Negative consequences if not done (NEG)
(h1) If I don't exercise I feel restless[EMPTY_CELL].18−.00−.01
(h2) If I don't exercise I feel tense[EMPTY_CELL]−.03−.16.01
(h3) If I don't exercise I feel tired[EMPTY_CELL]−.18.02.03
(h4) If I don't exercise I feel irritable[EMPTY_CELL].16−.06.06
Patterned action (PAT)
(h5) I exercise for the same amount of time in each session[EMPTY_CELL].79−.06−.13
(h6) I tend to do the same activities or exercises in each session[EMPTY_CELL].76−.08−.17
(h7) Most of my exercise sessions follow the same pattern[EMPTY_CELL].71−.15−.03
(h8) I exercise on the same days each week[EMPTY_CELL].52.09.24
(h9) I exercise at the same location each week[EMPTY_CELL].46.05.18
Strong SR bonds (SRB)
(h10) Seeing other people exercise motivates me to be more active[EMPTY_CELL].08−.72.10
(h11) When I see someone else exercising, I feel like exercising[EMPTY_CELL].05−.61.09
(h12) Some situations give me a desire to exercise[EMPTY_CELL]−.05−.82−.02
(h13) Certain surroundings just make me want to exercise[EMPTY_CELL]−.02−.79−.06
Automaticity (AUT)
(h14) I exercise without having to think about it[EMPTY_CELL].18.02.73
(h15) I exercise spontaneously and automatically[EMPTY_CELL].10−.18.65
(h16) I attend exercise sessions without conscious thought[EMPTY_CELL].08−.04.51
(h17) I exercise without conscious reminders to do so[EMPTY_CELL]−.14−.01.48
Eigenvalue[EMPTY_CELL]2.381.911.09
Percent variance[EMPTY_CELL]13.9911.216.44
Cronbach's alpha[EMPTY_CELL].78.85.77
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"NEG\", \"bbox\": [259, 6, 280, 16]}, {\"cell\": \"PAT\", \"bbox\": [297, 6, 314, 16]}, {\"cell\": \"SRB\", \"bbox\": [332, 6, 351, 16]}, {\"cell\": \"AUT\", \"bbox\": [366, 6, 387, 16]}, {\"cell\": \"Negative consequences if not done (NEG)\", \"bbox\": [1, 24, 154, 34]}, {\"cell\": \"(h1) If I don't exercise I feel restless\", \"bbox\": [1, 34, 135, 44]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 34, 280, 44]}, {\"cell\": \".18\", \"bbox\": [303, 34, 317, 44]}, {\"cell\": \"−.00\", \"bbox\": [333, 34, 352, 44]}, {\"cell\": \"−.01\", \"bbox\": [367, 34, 386, 44]}, {\"cell\": \"(h2) If I don't exercise I feel tense\", \"bbox\": [1, 44, 127, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 44, 280, 54]}, {\"cell\": \"−.03\", \"bbox\": [297, 44, 317, 54]}, {\"cell\": \"−.16\", \"bbox\": [333, 44, 352, 54]}, {\"cell\": \".01\", \"bbox\": [373, 44, 386, 54]}, {\"cell\": \"(h3) If I don't exercise I feel tired\", \"bbox\": [1, 54, 125, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 54, 280, 64]}, {\"cell\": \"−.18\", \"bbox\": [297, 54, 317, 64]}, {\"cell\": \".02\", \"bbox\": [339, 54, 352, 64]}, {\"cell\": \".03\", \"bbox\": [373, 54, 386, 64]}, {\"cell\": \"(h4) If I don't exercise I feel irritable\", \"bbox\": [1, 64, 137, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 64, 280, 74]}, {\"cell\": \".16\", \"bbox\": [303, 64, 317, 74]}, {\"cell\": \"−.06\", \"bbox\": [333, 64, 352, 74]}, {\"cell\": \".06\", \"bbox\": [373, 64, 386, 74]}, {\"cell\": \"Patterned action (PAT)\", \"bbox\": [1, 80, 86, 90]}, {\"cell\": \"(h5) I exercise for the same amount of time in each session\", \"bbox\": [1, 90, 217, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 90, 281, 100]}, {\"cell\": \".79\", \"bbox\": [303, 90, 317, 100]}, {\"cell\": \"−.06\", \"bbox\": [333, 90, 352, 100]}, {\"cell\": \"−.13\", \"bbox\": [367, 90, 386, 100]}, {\"cell\": \"(h6) I tend to do the same activities or exercises in each session\", \"bbox\": [1, 100, 234, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 100, 281, 110]}, {\"cell\": \".76\", \"bbox\": [303, 100, 317, 110]}, {\"cell\": \"−.08\", \"bbox\": [333, 100, 352, 110]}, {\"cell\": \"−.17\", \"bbox\": [367, 100, 386, 110]}, {\"cell\": \"(h7) Most of my exercise sessions follow the same pattern\", \"bbox\": [1, 110, 214, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [261, 110, 281, 120]}, {\"cell\": \".71\", \"bbox\": [303, 110, 317, 120]}, {\"cell\": \"−.15\", \"bbox\": [333, 110, 352, 120]}, {\"cell\": \"−.03\", \"bbox\": [367, 110, 386, 120]}, {\"cell\": \"(h8) I exercise on the same days each week\", \"bbox\": [1, 120, 161, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 120, 281, 130]}, {\"cell\": \".52\", \"bbox\": [303, 120, 317, 130]}, {\"cell\": \".09\", \"bbox\": [339, 120, 352, 130]}, {\"cell\": \".24\", \"bbox\": [373, 120, 386, 130]}, {\"cell\": \"(h9) I exercise at the same location each week\", \"bbox\": [1, 130, 170, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 130, 281, 140]}, {\"cell\": \".46\", \"bbox\": [303, 130, 317, 140]}, {\"cell\": \".05\", \"bbox\": [339, 130, 352, 140]}, {\"cell\": \".18\", \"bbox\": [373, 130, 386, 140]}, {\"cell\": \"Strong SR bonds (SRB)\", \"bbox\": [1, 146, 87, 156]}, {\"cell\": \"(h10) Seeing other people exercise motivates me to be more active\", \"bbox\": [1, 156, 244, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [261, 156, 281, 166]}, {\"cell\": \".08\", \"bbox\": [303, 156, 317, 166]}, {\"cell\": \"−.72\", \"bbox\": [332, 156, 352, 166]}, {\"cell\": \".10\", \"bbox\": [373, 156, 386, 166]}, {\"cell\": \"(h11) When I see someone else exercising, I feel like exercising\", \"bbox\": [1, 166, 234, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [261, 166, 281, 176]}, {\"cell\": \".05\", \"bbox\": [303, 166, 317, 176]}, {\"cell\": \"−.61\", \"bbox\": [332, 166, 352, 176]}, {\"cell\": \".09\", \"bbox\": [373, 166, 386, 176]}, {\"cell\": \"(h12) Some situations give me a desire to exercise\", \"bbox\": [1, 176, 185, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 176, 281, 186]}, {\"cell\": \"−.05\", \"bbox\": [297, 176, 317, 186]}, {\"cell\": \"−.82\", \"bbox\": [332, 176, 352, 186]}, {\"cell\": \"−.02\", \"bbox\": [367, 176, 386, 186]}, {\"cell\": \"(h13) Certain surroundings just make me want to exercise\", \"bbox\": [1, 186, 213, 196]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 186, 281, 196]}, {\"cell\": \"−.02\", \"bbox\": [297, 186, 317, 196]}, {\"cell\": \"−.79\", \"bbox\": [332, 186, 352, 196]}, {\"cell\": \"−.06\", \"bbox\": [367, 186, 386, 196]}, {\"cell\": \"Automaticity (AUT)\", \"bbox\": [1, 202, 73, 212]}, {\"cell\": \"(h14) I exercise without having to think about it\", \"bbox\": [1, 212, 177, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 212, 281, 222]}, {\"cell\": \".18\", \"bbox\": [303, 212, 317, 222]}, {\"cell\": \".02\", \"bbox\": [339, 212, 352, 222]}, {\"cell\": \".73\", \"bbox\": [373, 212, 386, 222]}, {\"cell\": \"(h15) I exercise spontaneously and automatically\", \"bbox\": [1, 222, 180, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 222, 281, 232]}, {\"cell\": \".10\", \"bbox\": [303, 222, 317, 232]}, {\"cell\": \"−.18\", \"bbox\": [333, 222, 352, 232]}, {\"cell\": \".65\", \"bbox\": [373, 222, 386, 232]}, {\"cell\": \"(h16) I attend exercise sessions without conscious thought\", \"bbox\": [1, 232, 213, 242]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 232, 281, 242]}, {\"cell\": \".08\", \"bbox\": [303, 232, 317, 242]}, {\"cell\": \"−.04\", \"bbox\": [333, 232, 352, 242]}, {\"cell\": \".51\", \"bbox\": [373, 232, 386, 242]}, {\"cell\": \"(h17) I exercise without conscious reminders to do so\", \"bbox\": [1, 242, 197, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [261, 242, 280, 252]}, {\"cell\": \"−.14\", \"bbox\": [297, 242, 317, 252]}, {\"cell\": \"−.01\", \"bbox\": [333, 242, 352, 252]}, {\"cell\": \".48\", \"bbox\": [373, 242, 386, 252]}, {\"cell\": \"Eigenvalue\", \"bbox\": [1, 258, 43, 268]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [263, 258, 280, 268]}, {\"cell\": \"2.38\", \"bbox\": [299, 258, 317, 268]}, {\"cell\": \"1.91\", \"bbox\": [335, 258, 352, 268]}, {\"cell\": \"1.09\", \"bbox\": [368, 258, 386, 268]}, {\"cell\": \"Percent variance\", \"bbox\": [1, 268, 62, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 268, 280, 278]}, {\"cell\": \"13.99\", \"bbox\": [294, 268, 317, 278]}, {\"cell\": \"11.21\", \"bbox\": [330, 268, 352, 278]}, {\"cell\": \"6.44\", \"bbox\": [368, 268, 386, 278]}, {\"cell\": \"Cronbach's alpha\", \"bbox\": [1, 278, 65, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 278, 280, 288]}, {\"cell\": \".78\", \"bbox\": [303, 278, 317, 288]}, {\"cell\": \".85\", \"bbox\": [339, 278, 352, 288]}, {\"cell\": \".77\", \"bbox\": [373, 278, 386, 288]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4346081_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
GroupAPOE4 noncarriers (n = 13)APOE4 carriers (n = 9)p Value
Female/male sex8/52/7[EMPTY_CELL]
White/nonwhite race8/54/5[EMPTY_CELL]
Age, years37.1 (15.7)32.1 (10.7)[EMPTY_CELL]
Weight, kg77.1 (15.7)85.7 (20.4)[EMPTY_CELL]
BMI, kg/m226.2 (4.2)27.1 (5.0)[EMPTY_CELL]
Systolic blood pressure, mmHg111 (9.2)118.4 (14.7)[EMPTY_CELL]
Diastolic blood pressure, mmHg60.3 (10.6)62.8 (7.2)[EMPTY_CELL]
Fasting glucose, mg/dl94 (9.3)90 (9.5)[EMPTY_CELL]
Total cholesterol, mg/dl162 (42.9)168.1 (31.1)[EMPTY_CELL]
HDL-C, mg/dl49.8 (17.7)53.7 (11.9)[EMPTY_CELL]
LDL-C, mg/dl98.3 (33.4)101 (28.8)[EMPTY_CELL]
Estimated DHA intake based on DHQ, mg/day40 (41)130 (120)[EMPTY_CELL]
Brain volume, ml1246 (150)1232 (62)[EMPTY_CELL]
Plasma APOE levels, μg/ml15.8 (5.7)10.7 (6.1)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Group\", \"bbox\": [1, 4, 22, 13]}, {\"cell\": \"APOE4 noncarriers (n = 13)\", \"bbox\": [202, 4, 288, 13]}, {\"cell\": \"APOE4 carriers (n = 9)\", \"bbox\": [339, 4, 408, 13]}, {\"cell\": \"p Value\", \"bbox\": [459, 4, 484, 13]}, {\"cell\": \"Female/male sex\", \"bbox\": [1, 17, 56, 27]}, {\"cell\": \"8/5\", \"bbox\": [202, 17, 214, 27]}, {\"cell\": \"2/7\", \"bbox\": [339, 17, 351, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [464, 17, 479, 27]}, {\"cell\": \"White/nonwhite race\", \"bbox\": [1, 31, 70, 41]}, {\"cell\": \"8/5\", \"bbox\": [202, 31, 214, 41]}, {\"cell\": \"4/5\", \"bbox\": [339, 31, 351, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [464, 31, 479, 41]}, {\"cell\": \"Age, years\", \"bbox\": [1, 45, 35, 55]}, {\"cell\": \"37.1 (15.7)\", \"bbox\": [202, 45, 236, 55]}, {\"cell\": \"32.1 (10.7)\", \"bbox\": [339, 45, 373, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [464, 45, 479, 55]}, {\"cell\": \"Weight, kg\", \"bbox\": [1, 59, 37, 69]}, {\"cell\": \"77.1 (15.7)\", \"bbox\": [202, 59, 236, 69]}, {\"cell\": \"85.7 (20.4)\", \"bbox\": [339, 59, 373, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [464, 59, 479, 69]}, {\"cell\": \"BMI, kg/m2\", \"bbox\": [1, 71, 38, 83]}, {\"cell\": \"26.2 (4.2)\", \"bbox\": [202, 73, 232, 83]}, {\"cell\": \"27.1 (5.0)\", \"bbox\": [339, 73, 369, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [464, 73, 479, 83]}, {\"cell\": \"Systolic blood pressure, mmHg\", \"bbox\": [1, 87, 102, 97]}, {\"cell\": \"111 (9.2)\", \"bbox\": [202, 87, 231, 97]}, {\"cell\": \"118.4 (14.7)\", \"bbox\": [339, 87, 377, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [464, 87, 479, 97]}, {\"cell\": \"Diastolic blood pressure, mmHg\", \"bbox\": [1, 101, 105, 111]}, {\"cell\": \"60.3 (10.6)\", \"bbox\": [202, 101, 236, 111]}, {\"cell\": \"62.8 (7.2)\", \"bbox\": [339, 101, 369, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [464, 101, 479, 111]}, {\"cell\": \"Fasting glucose, mg/dl\", \"bbox\": [1, 115, 76, 125]}, {\"cell\": \"94 (9.3)\", \"bbox\": [202, 115, 227, 125]}, {\"cell\": \"90 (9.5)\", \"bbox\": [339, 115, 364, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [464, 115, 479, 125]}, {\"cell\": \"Total cholesterol, mg/dl\", \"bbox\": [1, 129, 79, 139]}, {\"cell\": \"162 (42.9)\", \"bbox\": [202, 129, 235, 139]}, {\"cell\": \"168.1 (31.1)\", \"bbox\": [339, 129, 377, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [464, 129, 479, 139]}, {\"cell\": \"HDL-C, mg/dl\", \"bbox\": [1, 143, 46, 153]}, {\"cell\": \"49.8 (17.7)\", \"bbox\": [202, 143, 236, 153]}, {\"cell\": \"53.7 (11.9)\", \"bbox\": [339, 143, 373, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [464, 143, 479, 153]}, {\"cell\": \"LDL-C, mg/dl\", \"bbox\": [1, 157, 45, 167]}, {\"cell\": \"98.3 (33.4)\", \"bbox\": [202, 157, 236, 167]}, {\"cell\": \"101 (28.8)\", \"bbox\": [339, 157, 371, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [464, 157, 479, 167]}, {\"cell\": \"Estimated DHA intake based on DHQ, mg/day\", \"bbox\": [1, 171, 151, 181]}, {\"cell\": \"40 (41)\", \"bbox\": [202, 171, 226, 181]}, {\"cell\": \"130 (120)\", \"bbox\": [339, 171, 370, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [464, 171, 475, 181]}, {\"cell\": \"Brain volume, ml\", \"bbox\": [1, 185, 57, 195]}, {\"cell\": \"1246 (150)\", \"bbox\": [202, 185, 237, 195]}, {\"cell\": \"1232 (62)\", \"bbox\": [339, 185, 370, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [464, 185, 479, 195]}, {\"cell\": \"Plasma APOE levels, μg/ml\", \"bbox\": [1, 199, 88, 209]}, {\"cell\": \"15.8 (5.7)\", \"bbox\": [202, 199, 232, 209]}, {\"cell\": \"10.7 (6.1)\", \"bbox\": [339, 199, 369, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [464, 199, 479, 209]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5364667_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Group AGroup BGroup Cp valueA vs BA vs CB vs C[EMPTY_CELL]
CDE (%-seconds)
Sample size424242[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Mean ± SD13.14 ± 7.6511.33 ± 5.147.70 ± 4.590.0010.350.001[EMPTY_CELL]Kruskal Wallis
Median12.3811.046.84[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Min-Max1.48–28.202.13–20.861.15–16.79[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Inter quartile Range6.40–20.807.02–16.213.69–11.94[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
EFU (ml)
Sample size424242[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Mean ± Stdev58.19 ± 19.1046.86 ± 12.3834.81 ± 10.47<.00010.015<.0001[EMPTY_CELL]Kruskal Wallis
Median55.048.536.5[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Min-Max30–9219–7416–56[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Inter quartile Range40–7839–5626–41[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
TAT (seconds)
Sample size424242[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Mean ± Stdev172.71 ± 94.92131.00 ± 45.20113.36 ± 56.500.0010.2990.0004[EMPTY_CELL]Kruskal Wallis
Median132.5125.095.0[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Min-Max61–43761–25163–364[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Inter quartile Range95–24596–16879–122[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Group A\", \"bbox\": [89, 4, 118, 13]}, {\"cell\": \"Group B\", \"bbox\": [154, 4, 182, 13]}, {\"cell\": \"Group C\", \"bbox\": [218, 4, 247, 13]}, {\"cell\": \"p value\", \"bbox\": [283, 4, 308, 13]}, {\"cell\": \"A vs B\", \"bbox\": [324, 4, 346, 13]}, {\"cell\": \"A vs C\", \"bbox\": [362, 4, 384, 13]}, {\"cell\": \"B vs C\", \"bbox\": [401, 4, 423, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CDE (%-seconds)\", \"bbox\": [0, 17, 56, 26]}, {\"cell\": \" Sample size\", \"bbox\": [8, 31, 48, 40]}, {\"cell\": \"42\", \"bbox\": [89, 31, 99, 40]}, {\"cell\": \"42\", \"bbox\": [154, 31, 164, 40]}, {\"cell\": \"42\", \"bbox\": [218, 31, 228, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Mean ± SD\", \"bbox\": [8, 45, 47, 54]}, {\"cell\": \"13.14 ± 7.65\", \"bbox\": [89, 45, 130, 54]}, {\"cell\": \"11.33 ± 5.14\", \"bbox\": [154, 45, 195, 54]}, {\"cell\": \"7.70 ± 4.59\", \"bbox\": [218, 45, 256, 54]}, {\"cell\": \"0.001\", \"bbox\": [285, 45, 303, 54]}, {\"cell\": \"0.35\", \"bbox\": [326, 45, 340, 54]}, {\"cell\": \"0.001\", \"bbox\": [363, 45, 381, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 45, 421, 54]}, {\"cell\": \"Kruskal Wallis\", \"bbox\": [440, 45, 484, 54]}, {\"cell\": \" Median\", \"bbox\": [8, 59, 34, 68]}, {\"cell\": \"12.38\", \"bbox\": [89, 59, 108, 68]}, {\"cell\": \"11.04\", \"bbox\": [154, 59, 173, 68]}, {\"cell\": \"6.84\", \"bbox\": [218, 59, 233, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Min-Max\", \"bbox\": [8, 73, 38, 82]}, {\"cell\": \"1.48–28.20\", \"bbox\": [89, 73, 125, 82]}, {\"cell\": \"2.13–20.86\", \"bbox\": [154, 73, 189, 82]}, {\"cell\": \"1.15–16.79\", \"bbox\": [218, 73, 254, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Inter quartile Range\", \"bbox\": [8, 87, 74, 96]}, {\"cell\": \"6.40–20.80\", \"bbox\": [89, 87, 125, 96]}, {\"cell\": \"7.02–16.21\", \"bbox\": [154, 87, 189, 96]}, {\"cell\": \"3.69–11.94\", \"bbox\": [218, 87, 254, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"EFU (ml)\", \"bbox\": [1, 101, 30, 110]}, {\"cell\": \" Sample size\", \"bbox\": [8, 115, 48, 124]}, {\"cell\": \"42\", \"bbox\": [89, 115, 99, 124]}, {\"cell\": \"42\", \"bbox\": [154, 115, 164, 124]}, {\"cell\": \"42\", \"bbox\": [218, 115, 228, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Mean ± Stdev\", \"bbox\": [8, 129, 56, 138]}, {\"cell\": \"58.19 ± 19.10\", \"bbox\": [89, 129, 134, 138]}, {\"cell\": \"46.86 ± 12.38\", \"bbox\": [154, 129, 199, 138]}, {\"cell\": \"34.81 ± 10.47\", \"bbox\": [218, 129, 263, 138]}, {\"cell\": \"<.0001\", \"bbox\": [284, 129, 307, 138]}, {\"cell\": \"0.015\", \"bbox\": [326, 129, 344, 138]}, {\"cell\": \"<.0001\", \"bbox\": [362, 129, 385, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [401, 129, 424, 138]}, {\"cell\": \"Kruskal Wallis\", \"bbox\": [440, 129, 484, 138]}, {\"cell\": \" Median\", \"bbox\": [8, 143, 34, 152]}, {\"cell\": \"55.0\", \"bbox\": [89, 143, 104, 152]}, {\"cell\": \"48.5\", \"bbox\": [154, 143, 169, 152]}, {\"cell\": \"36.5\", \"bbox\": [218, 143, 233, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Min-Max\", \"bbox\": [8, 157, 38, 166]}, {\"cell\": \"30–92\", \"bbox\": [89, 157, 111, 166]}, {\"cell\": \"19–74\", \"bbox\": [154, 157, 175, 166]}, {\"cell\": \"16–56\", \"bbox\": [218, 157, 240, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Inter quartile Range\", \"bbox\": [8, 171, 74, 180]}, {\"cell\": \"40–78\", \"bbox\": [89, 171, 111, 180]}, {\"cell\": \"39–56\", \"bbox\": [154, 171, 175, 180]}, {\"cell\": \"26–41\", \"bbox\": [218, 171, 240, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TAT (seconds)\", \"bbox\": [1, 185, 47, 194]}, {\"cell\": \" Sample size\", \"bbox\": [9, 199, 48, 208]}, {\"cell\": \"42\", \"bbox\": [89, 199, 99, 208]}, {\"cell\": \"42\", \"bbox\": [154, 199, 164, 208]}, {\"cell\": \"42\", \"bbox\": [218, 199, 228, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Mean ± Stdev\", \"bbox\": [9, 213, 56, 222]}, {\"cell\": \"172.71 ± 94.92\", \"bbox\": [89, 213, 138, 222]}, {\"cell\": \"131.00 ± 45.20\", \"bbox\": [154, 213, 203, 222]}, {\"cell\": \"113.36 ± 56.50\", \"bbox\": [218, 213, 267, 222]}, {\"cell\": \"0.001\", \"bbox\": [285, 213, 303, 222]}, {\"cell\": \"0.299\", \"bbox\": [326, 213, 344, 222]}, {\"cell\": \"0.0004\", \"bbox\": [363, 213, 385, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 213, 421, 222]}, {\"cell\": \"Kruskal Wallis\", \"bbox\": [440, 213, 484, 222]}, {\"cell\": \" Median\", \"bbox\": [9, 227, 34, 236]}, {\"cell\": \"132.5\", \"bbox\": [89, 227, 108, 236]}, {\"cell\": \"125.0\", \"bbox\": [154, 227, 173, 236]}, {\"cell\": \"95.0\", \"bbox\": [218, 227, 233, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Min-Max\", \"bbox\": [9, 241, 38, 250]}, {\"cell\": \"61–437\", \"bbox\": [89, 241, 115, 250]}, {\"cell\": \"61–251\", \"bbox\": [154, 241, 179, 250]}, {\"cell\": \"63–364\", \"bbox\": [218, 241, 244, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Inter quartile Range\", \"bbox\": [9, 255, 74, 264]}, {\"cell\": \"95–245\", \"bbox\": [89, 255, 115, 264]}, {\"cell\": \"96–168\", \"bbox\": [154, 255, 179, 264]}, {\"cell\": \"79–122\", \"bbox\": [218, 255, 244, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5602781_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
ReasonsGradeAreaTotalTotal %
1st2nd3rd4th5thIIIIIIIVVVI
Not enough class time02241720000[EMPTY_CELL]47.4
Topics are unrelated00013400000[EMPTY_CELL]21.1
Do not know enough00010100000[EMPTY_CELL]5.3
District does not emphasize it00101200000[EMPTY_CELL]10.5
School does not emphasize it00000000000[EMPTY_CELL]0.0
Did not know a requirement10001200000[EMPTY_CELL]10.5
Other topics are more important00001100000[EMPTY_CELL]5.3
Not appropriate for grade level00000000000[EMPTY_CELL]0.0
Students not interested/concerned00000000000[EMPTY_CELL]0.0
N123671720000[EMPTY_CELL]100
\", \"cells\": [{\"cell\": \"Reasons\", \"bbox\": [1, 4, 44, 14]}, {\"cell\": \"Grade\", \"bbox\": [223, 4, 254, 14]}, {\"cell\": \"Area\", \"bbox\": [376, 4, 400, 14]}, {\"cell\": \"Total\", \"bbox\": [467, 4, 492, 14]}, {\"cell\": \"Total %\", \"bbox\": [504, 4, 541, 14]}, {\"cell\": \"1st\", \"bbox\": [168, 19, 184, 29]}, {\"cell\": \"2nd\", \"bbox\": [198, 19, 218, 29]}, {\"cell\": \"3rd\", \"bbox\": [231, 19, 248, 29]}, {\"cell\": \"4th\", \"bbox\": [262, 19, 279, 29]}, {\"cell\": \"5th\", \"bbox\": [292, 19, 309, 29]}, {\"cell\": \"I\", \"bbox\": [327, 19, 331, 29]}, {\"cell\": \"II\", \"bbox\": [349, 19, 356, 29]}, {\"cell\": \"III\", \"bbox\": [370, 19, 380, 29]}, {\"cell\": \"IV\", \"bbox\": [394, 19, 406, 29]}, {\"cell\": \"V\", \"bbox\": [419, 19, 428, 29]}, {\"cell\": \"VI\", \"bbox\": [442, 19, 453, 29]}, {\"cell\": \"Not enough class time\", \"bbox\": [1, 36, 101, 47]}, {\"cell\": \"0\", \"bbox\": [172, 36, 180, 47]}, {\"cell\": \"2\", \"bbox\": [204, 36, 211, 47]}, {\"cell\": \"2\", \"bbox\": [236, 36, 243, 47]}, {\"cell\": \"4\", \"bbox\": [266, 36, 274, 47]}, {\"cell\": \"1\", \"bbox\": [297, 36, 304, 47]}, {\"cell\": \"7\", \"bbox\": [325, 33, 333, 49]}, {\"cell\": \"2\", \"bbox\": [349, 36, 356, 47]}, {\"cell\": \"0\", \"bbox\": [371, 36, 379, 47]}, {\"cell\": \"0\", \"bbox\": [396, 36, 404, 47]}, {\"cell\": \"0\", \"bbox\": [420, 36, 428, 47]}, {\"cell\": \"0\", \"bbox\": [444, 36, 451, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [475, 36, 483, 47]}, {\"cell\": \"47.4\", \"bbox\": [512, 33, 533, 49]}, {\"cell\": \"Topics are unrelated\", \"bbox\": [1, 53, 93, 65]}, {\"cell\": \"0\", \"bbox\": [172, 53, 180, 65]}, {\"cell\": \"0\", \"bbox\": [204, 53, 211, 65]}, {\"cell\": \"0\", \"bbox\": [236, 53, 243, 65]}, {\"cell\": \"1\", \"bbox\": [266, 53, 274, 65]}, {\"cell\": \"3\", \"bbox\": [297, 53, 304, 65]}, {\"cell\": \"4\", \"bbox\": [325, 53, 333, 65]}, {\"cell\": \"0\", \"bbox\": [349, 53, 356, 65]}, {\"cell\": \"0\", \"bbox\": [371, 53, 379, 65]}, {\"cell\": \"0\", \"bbox\": [396, 53, 404, 65]}, {\"cell\": \"0\", \"bbox\": [420, 53, 428, 65]}, {\"cell\": \"0\", \"bbox\": [444, 53, 451, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [475, 53, 483, 65]}, {\"cell\": \"21.1\", \"bbox\": [512, 53, 533, 65]}, {\"cell\": \"Do not know enough\", \"bbox\": [1, 71, 94, 82]}, {\"cell\": \"0\", \"bbox\": [172, 71, 180, 82]}, {\"cell\": \"0\", \"bbox\": [204, 71, 211, 82]}, {\"cell\": \"0\", \"bbox\": [236, 71, 243, 82]}, {\"cell\": \"1\", \"bbox\": [266, 71, 274, 82]}, {\"cell\": \"0\", \"bbox\": [297, 71, 304, 82]}, {\"cell\": \"1\", \"bbox\": [325, 71, 333, 82]}, {\"cell\": \"0\", \"bbox\": [349, 71, 356, 82]}, {\"cell\": \"0\", \"bbox\": [371, 71, 379, 82]}, {\"cell\": \"0\", \"bbox\": [396, 71, 404, 82]}, {\"cell\": \"0\", \"bbox\": [420, 71, 428, 82]}, {\"cell\": \"0\", \"bbox\": [444, 71, 451, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [475, 71, 483, 82]}, {\"cell\": \"5.3\", \"bbox\": [515, 71, 530, 82]}, {\"cell\": \"District does not emphasize it\", \"bbox\": [1, 88, 133, 99]}, {\"cell\": \"0\", \"bbox\": [172, 88, 180, 99]}, {\"cell\": \"0\", \"bbox\": [204, 88, 211, 99]}, {\"cell\": \"1\", \"bbox\": [236, 88, 243, 99]}, {\"cell\": \"0\", \"bbox\": [266, 88, 274, 99]}, {\"cell\": \"1\", \"bbox\": [297, 88, 304, 99]}, {\"cell\": \"2\", \"bbox\": [325, 88, 333, 99]}, {\"cell\": \"0\", \"bbox\": [349, 88, 356, 99]}, {\"cell\": \"0\", \"bbox\": [371, 88, 379, 99]}, {\"cell\": \"0\", \"bbox\": [396, 88, 404, 99]}, {\"cell\": \"0\", \"bbox\": [420, 88, 428, 99]}, {\"cell\": \"0\", \"bbox\": [444, 88, 451, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [475, 88, 483, 99]}, {\"cell\": \"10.5\", \"bbox\": [512, 88, 533, 99]}, {\"cell\": \"School does not emphasize it\", \"bbox\": [0, 105, 133, 117]}, {\"cell\": \"0\", \"bbox\": [172, 105, 180, 117]}, {\"cell\": \"0\", \"bbox\": [204, 105, 211, 117]}, {\"cell\": \"0\", \"bbox\": [236, 105, 243, 117]}, {\"cell\": \"0\", \"bbox\": [266, 105, 274, 117]}, {\"cell\": \"0\", \"bbox\": [297, 105, 304, 117]}, {\"cell\": \"0\", \"bbox\": [325, 105, 333, 117]}, {\"cell\": \"0\", \"bbox\": [349, 105, 356, 117]}, {\"cell\": \"0\", \"bbox\": [371, 105, 379, 117]}, {\"cell\": \"0\", \"bbox\": [396, 105, 404, 117]}, {\"cell\": \"0\", \"bbox\": [420, 105, 428, 117]}, {\"cell\": \"0\", \"bbox\": [444, 105, 451, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [475, 105, 483, 117]}, {\"cell\": \"0.0\", \"bbox\": [515, 105, 530, 117]}, {\"cell\": \"Did not know a requirement\", \"bbox\": [1, 122, 125, 134]}, {\"cell\": \"1\", \"bbox\": [172, 122, 180, 134]}, {\"cell\": \"0\", \"bbox\": [204, 122, 211, 134]}, {\"cell\": \"0\", \"bbox\": [236, 122, 243, 134]}, {\"cell\": \"0\", \"bbox\": [266, 122, 274, 134]}, {\"cell\": \"1\", \"bbox\": [297, 122, 304, 134]}, {\"cell\": \"2\", \"bbox\": [325, 122, 333, 134]}, {\"cell\": \"0\", \"bbox\": [349, 122, 356, 134]}, {\"cell\": \"0\", \"bbox\": [371, 122, 379, 134]}, {\"cell\": \"0\", \"bbox\": [396, 122, 404, 134]}, {\"cell\": \"0\", \"bbox\": [420, 122, 428, 134]}, {\"cell\": \"0\", \"bbox\": [444, 122, 451, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [475, 122, 483, 134]}, {\"cell\": \"10.5\", \"bbox\": [512, 122, 533, 134]}, {\"cell\": \"Other topics are more important\", \"bbox\": [1, 140, 144, 151]}, {\"cell\": \"0\", \"bbox\": [172, 140, 180, 151]}, {\"cell\": \"0\", \"bbox\": [204, 140, 211, 151]}, {\"cell\": \"0\", \"bbox\": [236, 140, 243, 151]}, {\"cell\": \"0\", \"bbox\": [266, 140, 274, 151]}, {\"cell\": \"1\", \"bbox\": [297, 140, 304, 151]}, {\"cell\": \"1\", \"bbox\": [325, 140, 333, 151]}, {\"cell\": \"0\", \"bbox\": [349, 140, 356, 151]}, {\"cell\": \"0\", \"bbox\": [371, 140, 379, 151]}, {\"cell\": \"0\", \"bbox\": [396, 140, 404, 151]}, {\"cell\": \"0\", \"bbox\": [420, 140, 428, 151]}, {\"cell\": \"0\", \"bbox\": [444, 140, 451, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [475, 140, 483, 151]}, {\"cell\": \"5.3\", \"bbox\": [515, 140, 530, 151]}, {\"cell\": \"Not appropriate for grade level\", \"bbox\": [0, 157, 138, 168]}, {\"cell\": \"0\", \"bbox\": [172, 157, 179, 168]}, {\"cell\": \"0\", \"bbox\": [204, 157, 211, 168]}, {\"cell\": \"0\", \"bbox\": [236, 157, 243, 168]}, {\"cell\": \"0\", \"bbox\": [266, 157, 274, 168]}, {\"cell\": \"0\", \"bbox\": [297, 157, 304, 168]}, {\"cell\": \"0\", \"bbox\": [325, 157, 333, 168]}, {\"cell\": \"0\", \"bbox\": [349, 157, 356, 168]}, {\"cell\": \"0\", \"bbox\": [371, 157, 379, 168]}, {\"cell\": \"0\", \"bbox\": [396, 157, 404, 168]}, {\"cell\": \"0\", \"bbox\": [420, 157, 428, 168]}, {\"cell\": \"0\", \"bbox\": [444, 157, 451, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [475, 157, 483, 168]}, {\"cell\": \"0.0\", \"bbox\": [515, 157, 530, 168]}, {\"cell\": \"Students not interested/concerned\", \"bbox\": [0, 174, 154, 186]}, {\"cell\": \"0\", \"bbox\": [172, 174, 180, 186]}, {\"cell\": \"0\", \"bbox\": [204, 174, 211, 186]}, {\"cell\": \"0\", \"bbox\": [236, 174, 243, 186]}, {\"cell\": \"0\", \"bbox\": [266, 174, 274, 186]}, {\"cell\": \"0\", \"bbox\": [297, 174, 304, 186]}, {\"cell\": \"0\", \"bbox\": [325, 174, 333, 186]}, {\"cell\": \"0\", \"bbox\": [349, 174, 356, 186]}, {\"cell\": \"0\", \"bbox\": [371, 174, 379, 186]}, {\"cell\": \"0\", \"bbox\": [396, 174, 404, 186]}, {\"cell\": \"0\", \"bbox\": [420, 174, 428, 186]}, {\"cell\": \"0\", \"bbox\": [444, 174, 451, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [475, 174, 483, 186]}, {\"cell\": \"0.0\", \"bbox\": [515, 174, 530, 186]}, {\"cell\": \"N\", \"bbox\": [1, 192, 10, 203]}, {\"cell\": \"1\", \"bbox\": [172, 192, 180, 203]}, {\"cell\": \"2\", \"bbox\": [204, 192, 211, 203]}, {\"cell\": \"3\", \"bbox\": [236, 192, 243, 203]}, {\"cell\": \"6\", \"bbox\": [266, 189, 274, 204]}, {\"cell\": \"7\", \"bbox\": [297, 189, 304, 204]}, {\"cell\": \"17\", \"bbox\": [322, 189, 336, 204]}, {\"cell\": \"2\", \"bbox\": [349, 192, 356, 203]}, {\"cell\": \"0\", \"bbox\": [371, 192, 379, 203]}, {\"cell\": \"0\", \"bbox\": [396, 192, 404, 203]}, {\"cell\": \"0\", \"bbox\": [420, 192, 428, 203]}, {\"cell\": \"0\", \"bbox\": [444, 192, 451, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [473, 192, 486, 203]}, {\"cell\": \"100\", \"bbox\": [513, 192, 532, 203]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2872569_005_02.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Access and adherence to ARTTotal (n = 328)Male (n = 169)Female (n = 159)p-value*
n (%)n (%)n (%)
[EMPTY_CELL]58.4 ± 53.961.4 ± 73.755.1 ± 14.90.3
[EMPTY_CELL]–
[EMPTY_CELL]328 (100)169 (100)159 (100)[EMPTY_CELL]
[EMPTY_CELL]0 (0.0)0 (0.0)0 (0.0)[EMPTY_CELL]
[EMPTY_CELL]0.56
[EMPTY_CELL]283 (86.3)144 (85.2)139 (87.4)[EMPTY_CELL]
[EMPTY_CELL]45 (13.7)25 (14.8)20 (12.6)[EMPTY_CELL]
[EMPTY_CELL]0.35
[EMPTY_CELL]10 (22.2)5 (20.0)5 (25.0)[EMPTY_CELL]
[EMPTY_CELL]21 (46.7)10 (40.0)11 (55.0)[EMPTY_CELL]
[EMPTY_CELL]14 (31.1)10 (40.0)4 (20.0)[EMPTY_CELL]
[EMPTY_CELL]0.81
[EMPTY_CELL]319 (97.3)164 (97.0)155 (97.5)[EMPTY_CELL]
[EMPTY_CELL]9 (2.7)5 (3.0)4 (2.5)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Access and adherence to ART\", \"bbox\": [1, 4, 103, 13]}, {\"cell\": \"Total (n = 328)\", \"bbox\": [206, 4, 257, 14]}, {\"cell\": \"Male (n = 169)\", \"bbox\": [285, 4, 336, 14]}, {\"cell\": \"Female (n = 159)\", \"bbox\": [365, 4, 424, 14]}, {\"cell\": \"p-value*\", \"bbox\": [453, 4, 484, 14]}, {\"cell\": \"n (%)\", \"bbox\": [206, 17, 225, 26]}, {\"cell\": \"n (%)\", \"bbox\": [285, 17, 305, 26]}, {\"cell\": \"n (%)\", \"bbox\": [365, 17, 385, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 34, 174, 44]}, {\"cell\": \"58.4 ± 53.9\", \"bbox\": [206, 34, 242, 44]}, {\"cell\": \"61.4 ± 73.7\", \"bbox\": [285, 34, 322, 44]}, {\"cell\": \"55.1 ± 14.9\", \"bbox\": [365, 34, 401, 44]}, {\"cell\": \"0.3\", \"bbox\": [453, 34, 464, 44]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 47, 130, 56]}, {\"cell\": \"–\", \"bbox\": [453, 47, 459, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 59, 17, 68]}, {\"cell\": \"328 (100)\", \"bbox\": [206, 59, 237, 68]}, {\"cell\": \"169 (100)\", \"bbox\": [285, 59, 317, 68]}, {\"cell\": \"159 (100)\", \"bbox\": [365, 59, 396, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 71, 17, 80]}, {\"cell\": \"0 (0.0)\", \"bbox\": [206, 71, 227, 80]}, {\"cell\": \"0 (0.0)\", \"bbox\": [285, 71, 307, 80]}, {\"cell\": \"0 (0.0)\", \"bbox\": [365, 71, 386, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 83, 190, 92]}, {\"cell\": \"0.56\", \"bbox\": [453, 83, 468, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 95, 17, 104]}, {\"cell\": \"283 (86.3)\", \"bbox\": [206, 95, 239, 104]}, {\"cell\": \"144 (85.2)\", \"bbox\": [285, 95, 318, 104]}, {\"cell\": \"139 (87.4)\", \"bbox\": [365, 95, 398, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 107, 17, 117]}, {\"cell\": \"45 (13.7)\", \"bbox\": [206, 107, 235, 117]}, {\"cell\": \"25 (14.8)\", \"bbox\": [285, 107, 314, 117]}, {\"cell\": \"20 (12.6)\", \"bbox\": [365, 107, 394, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 119, 164, 129]}, {\"cell\": \"0.35\", \"bbox\": [453, 119, 468, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 131, 64, 141]}, {\"cell\": \"10 (22.2)\", \"bbox\": [206, 131, 235, 141]}, {\"cell\": \"5 (20.0)\", \"bbox\": [285, 131, 310, 141]}, {\"cell\": \"5 (25.0)\", \"bbox\": [365, 131, 390, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 143, 71, 153]}, {\"cell\": \"21 (46.7)\", \"bbox\": [206, 143, 235, 153]}, {\"cell\": \"10 (40.0)\", \"bbox\": [285, 143, 314, 153]}, {\"cell\": \"11 (55.0)\", \"bbox\": [365, 143, 394, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 155, 26, 165]}, {\"cell\": \"14 (31.1)\", \"bbox\": [206, 155, 235, 165]}, {\"cell\": \"10 (40.0)\", \"bbox\": [285, 155, 314, 165]}, {\"cell\": \"4 (20.0)\", \"bbox\": [365, 155, 390, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 168, 152, 177]}, {\"cell\": \"0.81\", \"bbox\": [453, 168, 468, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 180, 17, 189]}, {\"cell\": \"319 (97.3)\", \"bbox\": [206, 180, 239, 189]}, {\"cell\": \"164 (97.0)\", \"bbox\": [285, 180, 318, 189]}, {\"cell\": \"155 (97.5)\", \"bbox\": [365, 180, 398, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 192, 17, 201]}, {\"cell\": \"9 (2.7)\", \"bbox\": [206, 192, 227, 201]}, {\"cell\": \"5 (3.0)\", \"bbox\": [285, 192, 307, 201]}, {\"cell\": \"4 (2.5)\", \"bbox\": [365, 192, 386, 201]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5872568_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
PatientsCaregiver
[EMPTY_CELL]ValueVariablesValue
[EMPTY_CELL]M22Sex (%)M36
[EMPTY_CELL]F78[EMPTY_CELL]F64
[EMPTY_CELL]M76.9 ± 5.3Age (media ± ds)M59.4 ± 14.3
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]77.8 ± 7[EMPTY_CELL][EMPTY_CELL]56.1 ± 13.3
[EMPTY_CELL]F[EMPTY_CELL][EMPTY_CELL]F[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]Education (%)[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]80 SecondarySchool48
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL] Certificate[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]Profession (%)[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]70 Housewife[EMPTY_CELL]30
[EMPTY_CELL][EMPTY_CELL]80 Employee[EMPTY_CELL]30
[EMPTY_CELL][EMPTY_CELL]66Relationship Status (%)[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL] • Spouse[EMPTY_CELL]27.4
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL] • Children[EMPTY_CELL]70.5
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]Living with patient (%)[EMPTY_CELL]79
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]Sufficient Economical Conditions (%)[EMPTY_CELL]75.8
\", \"cells\": [{\"cell\": \"Patients\", \"bbox\": [4, 5, 38, 14]}, {\"cell\": \"Caregiver\", \"bbox\": [180, 5, 220, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 27, 42, 36]}, {\"cell\": \"Value\", \"bbox\": [132, 27, 156, 36]}, {\"cell\": \"Variables\", \"bbox\": [180, 27, 217, 36]}, {\"cell\": \"Value\", \"bbox\": [453, 27, 477, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 49, 32, 59]}, {\"cell\": \"M\", \"bbox\": [96, 49, 105, 59]}, {\"cell\": \"22\", \"bbox\": [139, 49, 149, 59]}, {\"cell\": \"Sex (%)\", \"bbox\": [180, 49, 207, 59]}, {\"cell\": \"M\", \"bbox\": [401, 49, 409, 59]}, {\"cell\": \"36\", \"bbox\": [460, 49, 470, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"F\", \"bbox\": [98, 71, 103, 81]}, {\"cell\": \"78\", \"bbox\": [139, 71, 149, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"F\", \"bbox\": [402, 71, 408, 81]}, {\"cell\": \"64\", \"bbox\": [459, 71, 470, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 93, 19, 103]}, {\"cell\": \"M\", \"bbox\": [96, 93, 105, 103]}, {\"cell\": \"76.9 ± 5.3\", \"bbox\": [126, 93, 162, 103]}, {\"cell\": \"Age (media ± ds)\", \"bbox\": [180, 93, 239, 103]}, {\"cell\": \"M\", \"bbox\": [401, 93, 409, 103]}, {\"cell\": \"59.4 ± 14.3\", \"bbox\": [445, 93, 485, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 104, 48, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"77.8 ± 7\", \"bbox\": [129, 114, 159, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"56.1 ± 13.3\", \"bbox\": [445, 114, 484, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"F\", \"bbox\": [98, 136, 103, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"F\", \"bbox\": [402, 136, 408, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 158, 52, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Education (%)\", \"bbox\": [180, 158, 228, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 169, 51, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"80\", \"bbox\": [139, 169, 149, 178]}, {\"cell\": \" Secondary\", \"bbox\": [190, 169, 226, 178]}, {\"cell\": \"School\", \"bbox\": [393, 169, 417, 178]}, {\"cell\": \"48\", \"bbox\": [460, 169, 470, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 179, 42, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Certificate\", \"bbox\": [190, 179, 227, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 201, 55, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Profession (%)\", \"bbox\": [180, 201, 230, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 211, 52, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"70\", \"bbox\": [139, 211, 149, 221]}, {\"cell\": \" Housewife\", \"bbox\": [190, 211, 227, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"30\", \"bbox\": [460, 211, 470, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 222, 41, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"80\", \"bbox\": [139, 222, 149, 231]}, {\"cell\": \" Employee\", \"bbox\": [190, 222, 224, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"30\", \"bbox\": [460, 222, 470, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 244, 46, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"66\", \"bbox\": [139, 244, 149, 254]}, {\"cell\": \"Relationship Status (%)\", \"bbox\": [180, 244, 258, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" • Spouse\", \"bbox\": [190, 254, 221, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"27.4\", \"bbox\": [457, 254, 473, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" • Children\", \"bbox\": [190, 264, 226, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"70.5\", \"bbox\": [457, 264, 473, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 287, 52, 296]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Living with patient (%)\", \"bbox\": [180, 287, 256, 296]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"79\", \"bbox\": [460, 287, 470, 296]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 309, 52, 319]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Sufficient Economical Conditions (%)\", \"bbox\": [180, 309, 305, 319]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"75.8\", \"bbox\": [457, 309, 473, 319]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2586019_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Clinicopathologic featurenMARCH2 expression (%)OR-valueP-value
Gender
Male5547 (85.5)1.11[EMPTY_CELL]
Female4539 (86.7)[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Age (years)
<603127 (87.1)0.87[EMPTY_CELL]
≥606959 (85.5)[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Tumor diameter
<4cm2011 (35.0)12.27[EMPTY_CELL]
≥4cm8075 (98.8)[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Degree of differentiation
Well~moderate5341 (77.3)6.58[EMPTY_CELL]
Poor4745 (95.7)[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Depth of invasion
T1~T272 (28.6)23.33[EMPTY_CELL]
T3~T49384 (90.3)[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Lymph node metastasis
No5845 (77.6)11.84[EMPTY_CELL]
Yes4241 (97.6)[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
TNM stage
I–II5846 (79.3)5.22[EMPTY_CELL]
III–IV4240 (95.2)[EMPTY_CELL][EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Clinicopathologic feature\", \"bbox\": [1, 7, 68, 26]}, {\"cell\": \"n\", \"bbox\": [92, 7, 99, 16]}, {\"cell\": \"MARCH2 expression (%)\", \"bbox\": [107, 7, 165, 26]}, {\"cell\": \"OR-value\", \"bbox\": [172, 7, 208, 17]}, {\"cell\": \"P-value\", \"bbox\": [212, 7, 242, 17]}, {\"cell\": \"Gender\", \"bbox\": [1, 33, 29, 42]}, {\"cell\": \" Male\", \"bbox\": [8, 41, 28, 51]}, {\"cell\": \"55\", \"bbox\": [90, 41, 101, 51]}, {\"cell\": \"47 (85.5)\", \"bbox\": [119, 41, 153, 51]}, {\"cell\": \"1.11\", \"bbox\": [183, 41, 201, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 41, 237, 51]}, {\"cell\": \" Female\", \"bbox\": [8, 50, 37, 59]}, {\"cell\": \"45\", \"bbox\": [90, 50, 101, 59]}, {\"cell\": \"39 (86.7)\", \"bbox\": [119, 50, 153, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Age (years)\", \"bbox\": [1, 67, 43, 76]}, {\"cell\": \" <60\", \"bbox\": [8, 75, 27, 84]}, {\"cell\": \"31\", \"bbox\": [90, 75, 101, 84]}, {\"cell\": \"27 (87.1)\", \"bbox\": [119, 75, 153, 84]}, {\"cell\": \"0.87\", \"bbox\": [183, 75, 201, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 75, 237, 84]}, {\"cell\": \" ≥60\", \"bbox\": [10, 83, 27, 93]}, {\"cell\": \"69\", \"bbox\": [90, 83, 101, 93]}, {\"cell\": \"59 (85.5)\", \"bbox\": [119, 83, 153, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Tumor diameter\", \"bbox\": [0, 100, 57, 110]}, {\"cell\": \" <4cm\", \"bbox\": [8, 109, 33, 118]}, {\"cell\": \"20\", \"bbox\": [90, 109, 101, 118]}, {\"cell\": \"11 (35.0)\", \"bbox\": [119, 109, 153, 118]}, {\"cell\": \"12.27\", \"bbox\": [179, 109, 201, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 109, 241, 118]}, {\"cell\": \" ≥4cm\", \"bbox\": [10, 117, 33, 127]}, {\"cell\": \"80\", \"bbox\": [90, 117, 101, 127]}, {\"cell\": \"75 (98.8)\", \"bbox\": [119, 117, 153, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Degree of differentiation\", \"bbox\": [0, 134, 86, 144]}, {\"cell\": \" Well~moderate\", \"bbox\": [8, 143, 66, 152]}, {\"cell\": \"53\", \"bbox\": [90, 143, 101, 152]}, {\"cell\": \"41 (77.3)\", \"bbox\": [119, 143, 153, 152]}, {\"cell\": \"6.58\", \"bbox\": [183, 143, 201, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 143, 241, 152]}, {\"cell\": \" Poor\", \"bbox\": [8, 151, 27, 161]}, {\"cell\": \"47\", \"bbox\": [90, 151, 101, 161]}, {\"cell\": \"45 (95.7)\", \"bbox\": [119, 151, 153, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Depth of invasion\", \"bbox\": [0, 168, 63, 178]}, {\"cell\": \" T1~T2\", \"bbox\": [8, 177, 36, 186]}, {\"cell\": \"7\", \"bbox\": [94, 177, 101, 186]}, {\"cell\": \"2 (28.6)\", \"bbox\": [124, 177, 153, 186]}, {\"cell\": \"23.33\", \"bbox\": [179, 177, 201, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 177, 241, 186]}, {\"cell\": \" T3~T4\", \"bbox\": [8, 185, 36, 195]}, {\"cell\": \"93\", \"bbox\": [90, 185, 101, 195]}, {\"cell\": \"84 (90.3)\", \"bbox\": [119, 185, 153, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Lymph node metastasis\", \"bbox\": [0, 202, 86, 212]}, {\"cell\": \" No\", \"bbox\": [8, 210, 21, 220]}, {\"cell\": \"58\", \"bbox\": [90, 210, 101, 220]}, {\"cell\": \"45 (77.6)\", \"bbox\": [119, 210, 153, 220]}, {\"cell\": \"11.84\", \"bbox\": [179, 210, 201, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 210, 241, 220]}, {\"cell\": \" Yes\", \"bbox\": [8, 219, 23, 228]}, {\"cell\": \"42\", \"bbox\": [90, 219, 101, 228]}, {\"cell\": \"41 (97.6)\", \"bbox\": [119, 219, 153, 228]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TNM stage\", \"bbox\": [0, 236, 41, 245]}, {\"cell\": \" I–II\", \"bbox\": [8, 244, 21, 254]}, {\"cell\": \"58\", \"bbox\": [90, 244, 101, 254]}, {\"cell\": \"46 (79.3)\", \"bbox\": [119, 244, 153, 254]}, {\"cell\": \"5.22\", \"bbox\": [183, 244, 201, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 244, 241, 254]}, {\"cell\": \" III–IV\", \"bbox\": [8, 253, 29, 262]}, {\"cell\": \"42\", \"bbox\": [90, 253, 101, 262]}, {\"cell\": \"40 (95.2)\", \"bbox\": [119, 253, 153, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5584615_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Primer namePrimer sequence (F: forward)Primer sequence (R: reverse)
[EMPTY_CELL]agaagccgtgcaaagaaaaagttaaaatgcaacgggctgt
[EMPTY_CELL]actttgggactgtgggactgttgatagcatcctcgcactg
[EMPTY_CELL]gcccctcaactgtctctctggggagctgttttctccactg
[EMPTY_CELL]caggttctggaagcgagttcgacaagcatgtgcttcctca
[EMPTY_CELL]ttacgagcaccgacactctgcgaaggaacctcgtagatgc
[EMPTY_CELL]caccatgagggacaagacctcttacaccgctctgcaatca
[EMPTY_CELL]atgggctctgtggtcaagtcccctcccaattcccttgtat
[EMPTY_CELL]ctttgttgtcggtgctgaaatcccgttcaaactcatttcc
[EMPTY_CELL]acctttccaagatggctcctcctgaaccacagacagagca
[EMPTY_CELL]tgtgtactggcaaccaaaactgaggtcccatcagctctc
[EMPTY_CELL]caagcctcgtgactttcctcccatggcattgatcctctct
[EMPTY_CELL]atcctaacccccaactgtcccaagcctcgtgactttcctc
[EMPTY_CELL]ctatgattggctgcgacagagtagtgtcgggaggcaatgt
[EMPTY_CELL]cagtcgctggtgctgaaatatccatttagcccgaatcttg
[EMPTY_CELL]gaatgcctggaagatccaaaaaatctcagctcgcctttca
[EMPTY_CELL]agggctttcccagaacaaatgcaggtatctgctcctctgg
[EMPTY_CELL]cggcgtaagagcaaaaactctgggatcactctgagggaag
[EMPTY_CELL]ccaatcagcttgggctagagctgggaaaggtgtccctgta
[EMPTY_CELL]cacccacccatgctagtcttaccctcaaactcctggtcct
[EMPTY_CELL]gcccagtgaggatatcttggaatcgcagatgaagctctggt
[EMPTY_CELL]tcaatgggaaagatggcttcgagcatttcttctgccttgg
[EMPTY_CELL]gtgcaattcctgagctgacacttaaagatggccagcaagc
[EMPTY_CELL]agactacaggccctcagcaacctctgtcaggaaaggcttg
[EMPTY_CELL]ctcatgcttgagagatcaggccgttgaggaagatgtgcacc
[EMPTY_CELL]actctcacttgaaattgggcgcacatgttaattactagtaaagg
[EMPTY_CELL]gaaaggcatcttatggatgtgcctgtagtgaaacacaacacc
[EMPTY_CELL]gtggctgaagaagccttgtctgaagccgtagccctcttta
[EMPTY_CELL]aaatgtttgtgttgcggtcatctggcacaggtgtcttcag
\", \"cells\": [{\"cell\": \"Primer name\", \"bbox\": [1, 4, 25, 22]}, {\"cell\": \"Primer sequence (F: forward)\", \"bbox\": [47, 4, 107, 22]}, {\"cell\": \"Primer sequence (R: reverse)\", \"bbox\": [144, 4, 204, 22]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 26, 24, 36]}, {\"cell\": \"agaagccgtgcaaagaaaaa\", \"bbox\": [47, 26, 122, 36]}, {\"cell\": \"gttaaaatgcaacgggctgt\", \"bbox\": [144, 26, 216, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 38, 22, 48]}, {\"cell\": \"actttgggactgtgggactg\", \"bbox\": [47, 38, 119, 48]}, {\"cell\": \"ttgatagcatcctcgcactg\", \"bbox\": [144, 38, 213, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 50, 17, 60]}, {\"cell\": \"gcccctcaactgtctctctg\", \"bbox\": [47, 50, 115, 60]}, {\"cell\": \"gggagctgttttctccactg\", \"bbox\": [144, 50, 213, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 62, 18, 72]}, {\"cell\": \"caggttctggaagcgagttc\", \"bbox\": [47, 62, 119, 72]}, {\"cell\": \"gacaagcatgtgcttcctca\", \"bbox\": [144, 62, 214, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 74, 16, 83]}, {\"cell\": \"ttacgagcaccgacactctg\", \"bbox\": [47, 74, 118, 83]}, {\"cell\": \"cgaaggaacctcgtagatgc\", \"bbox\": [144, 74, 218, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 86, 15, 95]}, {\"cell\": \"caccatgagggacaagacct\", \"bbox\": [47, 86, 121, 95]}, {\"cell\": \"cttacaccgctctgcaatca\", \"bbox\": [144, 86, 213, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 98, 18, 107]}, {\"cell\": \"atgggctctgtggtcaagtc\", \"bbox\": [47, 98, 118, 107]}, {\"cell\": \"ccctcccaattcccttgtat\", \"bbox\": [144, 98, 209, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 110, 24, 119]}, {\"cell\": \"ctttgttgtcggtgctgaaa\", \"bbox\": [47, 110, 115, 119]}, {\"cell\": \"tcccgttcaaactcatttcc\", \"bbox\": [144, 110, 209, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 122, 18, 131]}, {\"cell\": \"acctttccaagatggctcct\", \"bbox\": [47, 122, 115, 131]}, {\"cell\": \"cctgaaccacagacagagca\", \"bbox\": [144, 122, 219, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 134, 19, 143]}, {\"cell\": \"tgtgtactggcaaccaaaa\", \"bbox\": [47, 134, 115, 143]}, {\"cell\": \"ctgaggtcccatcagctctc\", \"bbox\": [144, 134, 214, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 146, 26, 155]}, {\"cell\": \"caagcctcgtgactttcctc\", \"bbox\": [47, 146, 115, 155]}, {\"cell\": \"ccatggcattgatcctctct\", \"bbox\": [144, 146, 211, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 158, 15, 167]}, {\"cell\": \"atcctaacccccaactgtcc\", \"bbox\": [47, 158, 115, 167]}, {\"cell\": \"caagcctcgtgactttcctc\", \"bbox\": [144, 158, 212, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 170, 24, 179]}, {\"cell\": \"ctatgattggctgcgacaga\", \"bbox\": [47, 170, 118, 179]}, {\"cell\": \"gtagtgtcgggaggcaatgt\", \"bbox\": [144, 170, 218, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 182, 24, 191]}, {\"cell\": \"cagtcgctggtgctgaaata\", \"bbox\": [47, 182, 118, 191]}, {\"cell\": \"tccatttagcccgaatcttg\", \"bbox\": [144, 182, 211, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 193, 17, 203]}, {\"cell\": \"gaatgcctggaagatccaaa\", \"bbox\": [47, 193, 120, 203]}, {\"cell\": \"aaatctcagctcgcctttca\", \"bbox\": [144, 193, 211, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 205, 24, 215]}, {\"cell\": \"agggctttcccagaacaaat\", \"bbox\": [47, 205, 118, 215]}, {\"cell\": \"gcaggtatctgctcctctgg\", \"bbox\": [144, 205, 215, 215]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 217, 19, 227]}, {\"cell\": \"cggcgtaagagcaaaaactc\", \"bbox\": [47, 217, 121, 227]}, {\"cell\": \"tgggatcactctgagggaag\", \"bbox\": [144, 217, 219, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 229, 24, 239]}, {\"cell\": \"ccaatcagcttgggctagag\", \"bbox\": [47, 229, 120, 239]}, {\"cell\": \"ctgggaaaggtgtccctgta\", \"bbox\": [144, 229, 217, 239]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 241, 24, 251]}, {\"cell\": \"cacccacccatgctagtctt\", \"bbox\": [47, 241, 115, 251]}, {\"cell\": \"accctcaaactcctggtcct\", \"bbox\": [144, 241, 212, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 253, 21, 263]}, {\"cell\": \"gcccagtgaggatatcttgga\", \"bbox\": [47, 253, 123, 263]}, {\"cell\": \"atcgcagatgaagctctggt\", \"bbox\": [144, 253, 216, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 265, 18, 275]}, {\"cell\": \"tcaatgggaaagatggcttc\", \"bbox\": [47, 265, 119, 275]}, {\"cell\": \"gagcatttcttctgccttgg\", \"bbox\": [144, 265, 212, 275]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 277, 33, 287]}, {\"cell\": \"gtgcaattcctgagctgaca\", \"bbox\": [47, 277, 118, 287]}, {\"cell\": \"cttaaagatggccagcaagc\", \"bbox\": [144, 277, 217, 287]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 289, 18, 299]}, {\"cell\": \"agactacaggccctcagcaa\", \"bbox\": [47, 289, 120, 299]}, {\"cell\": \"cctctgtcaggaaaggcttg\", \"bbox\": [144, 289, 216, 299]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 301, 24, 311]}, {\"cell\": \"ctcatgcttgagagatcaggc\", \"bbox\": [47, 301, 122, 311]}, {\"cell\": \"cgttgaggaagatgtgcacc\", \"bbox\": [144, 301, 218, 311]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 313, 20, 323]}, {\"cell\": \"actctcacttgaaattgggc\", \"bbox\": [47, 313, 116, 323]}, {\"cell\": \"gcacatgttaattactagtaaagg\", \"bbox\": [144, 313, 227, 323]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 325, 20, 335]}, {\"cell\": \"gaaaggcatcttatggatgtgc\", \"bbox\": [47, 325, 125, 335]}, {\"cell\": \"ctgtagtgaaacacaacacc\", \"bbox\": [144, 325, 216, 335]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 337, 23, 346]}, {\"cell\": \"gtggctgaagaagccttgtc\", \"bbox\": [47, 337, 119, 346]}, {\"cell\": \"tgaagccgtagccctcttta\", \"bbox\": [144, 337, 213, 346]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 349, 20, 358]}, {\"cell\": \"aaatgtttgtgttgcggtca\", \"bbox\": [47, 349, 115, 358]}, {\"cell\": \"tctggcacaggtgtcttcag\", \"bbox\": [144, 349, 215, 358]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2972255_009_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
ICD-10-AM codeDefinition% of admissions with GOR/GORD% of admissions without GOR/GORDp
P07.22[EMPTY_CELL]1.1%0.1%< 0.000
P07.31[EMPTY_CELL]1.5%0.3%< 0.000
P22.0[EMPTY_CELL]1.6%1.0%< 0.000
J21.9[EMPTY_CELL]2.0%1.05< 0.000
R06.8[EMPTY_CELL]3.0%0.1%< 0.001
R62.8[EMPTY_CELL]3.8%0.1%< 0.000
R63.3[EMPTY_CELL]9.8%0.2%< 0.000
F51.2[EMPTY_CELL]10.2%0.1%< 0.000
R68.1[EMPTY_CELL]38.1%0.6%< 0.000
\", \"cells\": [{\"cell\": \"ICD-10-AM code\", \"bbox\": [1, 4, 55, 13]}, {\"cell\": \"Definition\", \"bbox\": [77, 4, 111, 13]}, {\"cell\": \"% of admissions with GOR/GORD\", \"bbox\": [264, 4, 334, 22]}, {\"cell\": \"% of admissions without GOR/GORD\", \"bbox\": [356, 4, 437, 22]}, {\"cell\": \"p\", \"bbox\": [459, 6, 465, 13]}, {\"cell\": \"P07.22\", \"bbox\": [1, 26, 23, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 26, 218, 45]}, {\"cell\": \"1.1%\", \"bbox\": [264, 26, 280, 36]}, {\"cell\": \"0.1%\", \"bbox\": [356, 26, 373, 36]}, {\"cell\": \"< 0.000\", \"bbox\": [459, 26, 484, 36]}, {\"cell\": \"P07.31\", \"bbox\": [1, 49, 23, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 49, 220, 68]}, {\"cell\": \"1.5%\", \"bbox\": [264, 49, 280, 59]}, {\"cell\": \"0.3%\", \"bbox\": [356, 49, 373, 59]}, {\"cell\": \"< 0.000\", \"bbox\": [459, 49, 484, 59]}, {\"cell\": \"P22.0\", \"bbox\": [1, 72, 19, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 72, 214, 82]}, {\"cell\": \"1.6%\", \"bbox\": [264, 72, 280, 82]}, {\"cell\": \"1.0%\", \"bbox\": [356, 72, 373, 82]}, {\"cell\": \"< 0.000\", \"bbox\": [459, 72, 484, 82]}, {\"cell\": \"J21.9\", \"bbox\": [1, 86, 18, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 86, 180, 96]}, {\"cell\": \"2.0%\", \"bbox\": [264, 86, 280, 96]}, {\"cell\": \"1.05\", \"bbox\": [356, 86, 371, 96]}, {\"cell\": \"< 0.000\", \"bbox\": [459, 86, 484, 96]}, {\"cell\": \"R06.8\", \"bbox\": [1, 100, 19, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 100, 238, 110]}, {\"cell\": \"3.0%\", \"bbox\": [264, 100, 280, 110]}, {\"cell\": \"0.1%\", \"bbox\": [356, 100, 373, 110]}, {\"cell\": \"< 0.001\", \"bbox\": [459, 100, 484, 110]}, {\"cell\": \"R62.8\", \"bbox\": [1, 114, 19, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 114, 242, 124]}, {\"cell\": \"3.8%\", \"bbox\": [264, 114, 280, 124]}, {\"cell\": \"0.1%\", \"bbox\": [356, 114, 373, 124]}, {\"cell\": \"< 0.000\", \"bbox\": [459, 114, 484, 124]}, {\"cell\": \"R63.3\", \"bbox\": [1, 128, 19, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 128, 210, 138]}, {\"cell\": \"9.8%\", \"bbox\": [264, 128, 280, 138]}, {\"cell\": \"0.2%\", \"bbox\": [356, 128, 373, 138]}, {\"cell\": \"< 0.000\", \"bbox\": [459, 128, 484, 138]}, {\"cell\": \"F51.2\", \"bbox\": [1, 142, 19, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 142, 238, 152]}, {\"cell\": \"10.2%\", \"bbox\": [264, 142, 284, 152]}, {\"cell\": \"0.1%\", \"bbox\": [356, 142, 373, 152]}, {\"cell\": \"< 0.000\", \"bbox\": [459, 142, 484, 152]}, {\"cell\": \"R68.1\", \"bbox\": [1, 156, 19, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 156, 220, 175]}, {\"cell\": \"38.1%\", \"bbox\": [264, 156, 284, 166]}, {\"cell\": \"0.6%\", \"bbox\": [356, 156, 373, 166]}, {\"cell\": \"< 0.000\", \"bbox\": [459, 156, 484, 166]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5808415_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariablesNumberPercent
Age in years15–1925[EMPTY_CELL]
20–3425780.3
> 343811.9
ReligionOrthodox193[EMPTY_CELL]
Muslim5617.5
Catholic4915.3
Protestant226.9
Marital statusSingle29[EMPTY_CELL]
Married28388.4
Divorced82.5
Maternal occupationHouse wife255[EMPTY_CELL]
Merchant216.6
Volunteer216.6
Others*237.2
Maternal educationUnable to read and write65[EMPTY_CELL]
Primary education completed16350.9
Secondary and above9228.8
Husband educationUnable to read and write25[EMPTY_CELL]
Completed primary education11440.3
Secondary and above14450.9
Family size1–3146[EMPTY_CELL]
4–614244.4
> 63210.0
Monthly income in Ethiopian Birr (US Dollar)< 500 (≤ 22.6)54[EMPTY_CELL]
500–900 (22.6–40.7)6720.9
> 900 (>40.7)19962.2
\", \"cells\": [{\"cell\": \"Variables\", \"bbox\": [1, 4, 30, 13]}, {\"cell\": \"Number\", \"bbox\": [169, 4, 198, 13]}, {\"cell\": \"Percent\", \"bbox\": [210, 4, 236, 13]}, {\"cell\": \"Age in years\", \"bbox\": [1, 17, 42, 27]}, {\"cell\": \"15–19\", \"bbox\": [91, 17, 113, 27]}, {\"cell\": \"25\", \"bbox\": [169, 17, 179, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 17, 221, 27]}, {\"cell\": \"20–34\", \"bbox\": [91, 31, 113, 41]}, {\"cell\": \"257\", \"bbox\": [169, 31, 183, 41]}, {\"cell\": \"80.3\", \"bbox\": [210, 31, 225, 41]}, {\"cell\": \"> 34\", \"bbox\": [91, 45, 107, 55]}, {\"cell\": \"38\", \"bbox\": [169, 45, 179, 55]}, {\"cell\": \"11.9\", \"bbox\": [210, 45, 225, 55]}, {\"cell\": \"Religion\", \"bbox\": [1, 59, 28, 69]}, {\"cell\": \"Orthodox\", \"bbox\": [91, 59, 124, 69]}, {\"cell\": \"193\", \"bbox\": [169, 59, 183, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 59, 225, 69]}, {\"cell\": \"Muslim\", \"bbox\": [91, 73, 117, 83]}, {\"cell\": \"56\", \"bbox\": [169, 73, 179, 83]}, {\"cell\": \"17.5\", \"bbox\": [210, 73, 225, 83]}, {\"cell\": \"Catholic\", \"bbox\": [91, 87, 119, 97]}, {\"cell\": \"49\", \"bbox\": [169, 87, 179, 97]}, {\"cell\": \"15.3\", \"bbox\": [210, 87, 225, 97]}, {\"cell\": \"Protestant\", \"bbox\": [91, 101, 126, 111]}, {\"cell\": \"22\", \"bbox\": [169, 101, 179, 111]}, {\"cell\": \"6.9\", \"bbox\": [210, 101, 221, 111]}, {\"cell\": \"Marital status\", \"bbox\": [1, 115, 45, 125]}, {\"cell\": \"Single\", \"bbox\": [91, 115, 113, 125]}, {\"cell\": \"29\", \"bbox\": [169, 115, 179, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 115, 221, 125]}, {\"cell\": \"Married\", \"bbox\": [91, 129, 118, 139]}, {\"cell\": \"283\", \"bbox\": [169, 129, 183, 139]}, {\"cell\": \"88.4\", \"bbox\": [210, 129, 225, 139]}, {\"cell\": \"Divorced\", \"bbox\": [91, 143, 122, 153]}, {\"cell\": \"8\", \"bbox\": [169, 143, 175, 153]}, {\"cell\": \"2.5\", \"bbox\": [210, 143, 221, 153]}, {\"cell\": \"Maternal occupation\", \"bbox\": [1, 157, 68, 167]}, {\"cell\": \"House wife\", \"bbox\": [91, 157, 129, 167]}, {\"cell\": \"255\", \"bbox\": [169, 157, 183, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 157, 225, 167]}, {\"cell\": \"Merchant\", \"bbox\": [91, 171, 124, 181]}, {\"cell\": \"21\", \"bbox\": [169, 171, 179, 181]}, {\"cell\": \"6.6\", \"bbox\": [210, 171, 221, 181]}, {\"cell\": \"Volunteer\", \"bbox\": [91, 185, 124, 195]}, {\"cell\": \"21\", \"bbox\": [169, 185, 179, 195]}, {\"cell\": \"6.6\", \"bbox\": [210, 185, 221, 195]}, {\"cell\": \"Others*\", \"bbox\": [91, 197, 117, 209]}, {\"cell\": \"23\", \"bbox\": [169, 199, 179, 209]}, {\"cell\": \"7.2\", \"bbox\": [210, 199, 221, 209]}, {\"cell\": \"Maternal education\", \"bbox\": [1, 213, 65, 223]}, {\"cell\": \"Unable to read and write\", \"bbox\": [91, 213, 142, 232]}, {\"cell\": \"65\", \"bbox\": [169, 213, 179, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 213, 225, 223]}, {\"cell\": \"Primary education completed\", \"bbox\": [91, 236, 152, 255]}, {\"cell\": \"163\", \"bbox\": [169, 236, 183, 246]}, {\"cell\": \"50.9\", \"bbox\": [210, 236, 225, 246]}, {\"cell\": \"Secondary and above\", \"bbox\": [91, 259, 141, 278]}, {\"cell\": \"92\", \"bbox\": [169, 259, 179, 269]}, {\"cell\": \"28.8\", \"bbox\": [210, 259, 225, 269]}, {\"cell\": \"Husband education\", \"bbox\": [1, 282, 65, 292]}, {\"cell\": \"Unable to read and write\", \"bbox\": [91, 282, 142, 301]}, {\"cell\": \"25\", \"bbox\": [169, 282, 179, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 282, 221, 292]}, {\"cell\": \"Completed primary education\", \"bbox\": [91, 305, 156, 324]}, {\"cell\": \"114\", \"bbox\": [169, 305, 183, 315]}, {\"cell\": \"40.3\", \"bbox\": [210, 305, 225, 315]}, {\"cell\": \"Secondary and above\", \"bbox\": [91, 328, 141, 347]}, {\"cell\": \"144\", \"bbox\": [169, 328, 183, 338]}, {\"cell\": \"50.9\", \"bbox\": [210, 328, 225, 338]}, {\"cell\": \"Family size\", \"bbox\": [1, 351, 37, 361]}, {\"cell\": \"1–3\", \"bbox\": [91, 351, 105, 361]}, {\"cell\": \"146\", \"bbox\": [169, 351, 183, 361]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 351, 225, 361]}, {\"cell\": \"4–6\", \"bbox\": [91, 365, 105, 375]}, {\"cell\": \"142\", \"bbox\": [169, 365, 183, 375]}, {\"cell\": \"44.4\", \"bbox\": [210, 365, 225, 375]}, {\"cell\": \"> 6\", \"bbox\": [91, 379, 104, 389]}, {\"cell\": \"32\", \"bbox\": [169, 379, 179, 389]}, {\"cell\": \"10.0\", \"bbox\": [210, 379, 225, 389]}, {\"cell\": \"Monthly income in Ethiopian Birr (US Dollar)\", \"bbox\": [1, 393, 79, 412]}, {\"cell\": \"< 500 (≤ 22.6)\", \"bbox\": [91, 393, 138, 403]}, {\"cell\": \"54\", \"bbox\": [169, 393, 179, 403]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 393, 225, 403]}, {\"cell\": \"500–900 (22.6–40.7)\", \"bbox\": [91, 407, 157, 417]}, {\"cell\": \"67\", \"bbox\": [169, 407, 179, 417]}, {\"cell\": \"20.9\", \"bbox\": [210, 407, 225, 417]}, {\"cell\": \"> 900 (>40.7)\", \"bbox\": [91, 421, 139, 431]}, {\"cell\": \"199\", \"bbox\": [169, 421, 183, 431]}, {\"cell\": \"62.2\", \"bbox\": [210, 421, 225, 431]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5887183_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Fatty acidControlHigh fat diet
Myristic (14:0)[EMPTY_CELL]13.05 ± 2.304∗
Palmitic (16:0)[EMPTY_CELL]136.95 ± 22.83∗
Palmitoleic (16:1)[EMPTY_CELL]3.2 ± 0.647∗
Stearic (18:0)[EMPTY_CELL]147.14 ± 21.13∗
Oleic (18:1)[EMPTY_CELL]21.52 ± 4.774∗
Linoleic (18:2)[EMPTY_CELL]11.45 ± 2.765∗
Arachidic (20:0)[EMPTY_CELL]5.01 ± 0.88∗
α-linoleic (18:3)[EMPTY_CELL]1.97 ± 0.495∗
Behenic (22:0)[EMPTY_CELL]2.39 ± 0.336∗
Arachidonic (20:4)[EMPTY_CELL]5.27 ± 1.259∗
Lignoceric (24:0)[EMPTY_CELL]2.53 ± 0.444∗
Eicosapentaenoic (20:5)[EMPTY_CELL]1.55 ± 0.656∗
Nervonic (24:1)[EMPTY_CELL]1.32 ± 0.417∗
Docosahexaenoic (22:6)[EMPTY_CELL]1.1 ± 0.145∗
UFA[EMPTY_CELL]47.38 ± 7.813∗
SFA[EMPTY_CELL]307.07 ± 44.118∗
Total[EMPTY_CELL]354.44 ± 46.163∗
\", \"cells\": [{\"cell\": \"Fatty acid\", \"bbox\": [2, 4, 39, 15]}, {\"cell\": \"Control\", \"bbox\": [118, 4, 148, 15]}, {\"cell\": \"High fat diet\", \"bbox\": [186, 4, 233, 15]}, {\"cell\": \"Myristic (14:0)\", \"bbox\": [2, 17, 56, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [109, 14, 157, 29]}, {\"cell\": \"13.05 ± 2.304∗\", \"bbox\": [184, 13, 235, 29]}, {\"cell\": \"Palmitic (16:0)\", \"bbox\": [2, 29, 56, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 26, 165, 41]}, {\"cell\": \"136.95 ± 22.83∗\", \"bbox\": [182, 25, 237, 41]}, {\"cell\": \"Palmitoleic (16:1)\", \"bbox\": [2, 42, 65, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 38, 161, 54]}, {\"cell\": \"3.2 ± 0.647∗\", \"bbox\": [187, 38, 232, 54]}, {\"cell\": \"Stearic (18:0)\", \"bbox\": [2, 54, 51, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 51, 163, 66]}, {\"cell\": \"147.14 ± 21.13∗\", \"bbox\": [184, 50, 235, 66]}, {\"cell\": \"Oleic (18:1)\", \"bbox\": [2, 67, 44, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 63, 161, 79]}, {\"cell\": \"21.52 ± 4.774∗\", \"bbox\": [184, 63, 235, 79]}, {\"cell\": \"Linoleic (18:2)\", \"bbox\": [2, 79, 55, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 76, 160, 91]}, {\"cell\": \"11.45 ± 2.765∗\", \"bbox\": [184, 75, 235, 91]}, {\"cell\": \"Arachidic (20:0)\", \"bbox\": [2, 91, 63, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [109, 88, 157, 104]}, {\"cell\": \"5.01 ± 0.88∗\", \"bbox\": [188, 87, 231, 104]}, {\"cell\": \"α-linoleic (18:3)\", \"bbox\": [2, 101, 61, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [110, 101, 156, 116]}, {\"cell\": \"1.97 ± 0.495∗\", \"bbox\": [186, 100, 233, 116]}, {\"cell\": \"Behenic (22:0)\", \"bbox\": [2, 116, 56, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [110, 113, 156, 129]}, {\"cell\": \"2.39 ± 0.336∗\", \"bbox\": [185, 112, 234, 129]}, {\"cell\": \"Arachidonic (20:4)\", \"bbox\": [2, 129, 73, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 126, 164, 141]}, {\"cell\": \"5.27 ± 1.259∗\", \"bbox\": [186, 125, 233, 141]}, {\"cell\": \"Lignoceric (24:0)\", \"bbox\": [2, 141, 66, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [112, 138, 153, 153]}, {\"cell\": \"2.53 ± 0.444∗\", \"bbox\": [185, 137, 234, 153]}, {\"cell\": \"Eicosapentaenoic (20:5)\", \"bbox\": [2, 154, 90, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [109, 150, 157, 166]}, {\"cell\": \"1.55 ± 0.656∗\", \"bbox\": [186, 150, 233, 166]}, {\"cell\": \"Nervonic (24:1)\", \"bbox\": [2, 166, 60, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [110, 163, 155, 178]}, {\"cell\": \"1.32 ± 0.417∗\", \"bbox\": [186, 162, 233, 178]}, {\"cell\": \"Docosahexaenoic (22:6)\", \"bbox\": [2, 179, 91, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [108, 175, 157, 191]}, {\"cell\": \"1.1 ± 0.145∗\", \"bbox\": [189, 175, 230, 191]}, {\"cell\": \"UFA\", \"bbox\": [2, 191, 21, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 188, 163, 203]}, {\"cell\": \"47.38 ± 7.813∗\", \"bbox\": [185, 187, 234, 203]}, {\"cell\": \"SFA\", \"bbox\": [2, 204, 19, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 200, 164, 216]}, {\"cell\": \"307.07 ± 44.118∗\", \"bbox\": [180, 200, 239, 216]}, {\"cell\": \"Total\", \"bbox\": [2, 216, 23, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 213, 164, 228]}, {\"cell\": \"354.44 ± 46.163∗\", \"bbox\": [179, 212, 240, 228]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4951584_003_02.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL][EMPTY_CELL]BoysGirls
BMI categoryYear14151415
[EMPTY_CELL]199216.0 (0.7)16.5 (0.6)16.3 (0.8)16.8 (0.7)
[EMPTY_CELL]15.7 (0.8)16.4 (0.9)16.3 (0.6)16.7 (0.9)
[EMPTY_CELL]15.9 (0.7)16.3 (0.9)16.4 (0.8)16.7 (0.8)
[EMPTY_CELL]15.8 (0.6)16.2 (0.9)16.2 (0.8)16.6 (0.9)
[EMPTY_CELL]F (1,3) = 2.32p = 0.129F (1,3) = 2.52p = 0.114F (1,3) = 0.29p =.594F (1,3) = 4.13p = 0.043
[EMPTY_CELL]199219.8 (1.5)20.4 (1.5)20.0(1.6)20.5 (1.6)
[EMPTY_CELL]19.7 (1.5)20.4 (1.5)19.9 (1.6)20.5 (1.7)
[EMPTY_CELL]20.0 (1.6)20.6 (1.6)19.9 (1.7)20.5 (1.7)
[EMPTY_CELL]19.9 (1.6)20.6 (1.6)20.1 (1.7)20.5 (1.7)
[EMPTY_CELL]F (1,3) = 6.49p = 0.011F (1,3) = 12.78p = 0.000F (1,3) = 2.63p = 0.105F (1,3) = 0.18p = 0.669
[EMPTY_CELL]199224.7 (1.2)25.3 (1.3)25.4 (1.3)25.9 (1.3)
[EMPTY_CELL]24.6 (1.4)25.0 (1.2)25.4 (1.4)26.0 (1.4)
[EMPTY_CELL]24.7 (1.4)25.4 (1.4)25.4 (1.3)25.9 (1.3)
[EMPTY_CELL]24.8 (1.3)25.4 (1.4)25.3 (1.4)26 0.0 (1.3)
[EMPTY_CELL]F (1,3) = 1.14p = 0.287F (1,3) = 2.72p = 0.100F (1.3) = 0.21p = 0.644F (1,3) = 0.45p = 0.505
[EMPTY_CELL]199230.6 (1.4)30.0 (1.2)31.4 (1.6)31.2 (1.4)
[EMPTY_CELL]30.9 (2.1)30.3 (1.5)30.7 (1.3)30.7 (1.0)
[EMPTY_CELL]30.6 (1.9)30.8 (1.7)30.7 (1.5)31.2 (1.5)
[EMPTY_CELL]30.8 (2.1)30.9 (1.8)31.3 (1.5)31.2 (1.5)
[EMPTY_CELL]F (1,3) = 0.17p = 0.684F (1,3) = 5.20p = 0.024F (1.3) = 0.07p = 0.793F (1.3) = 0.17p = 0.680
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Boys\", \"bbox\": [239, 6, 261, 17]}, {\"cell\": \"Girls\", \"bbox\": [408, 6, 430, 17]}, {\"cell\": \"BMI category\", \"bbox\": [0, 21, 58, 32]}, {\"cell\": \"Year\", \"bbox\": [113, 21, 134, 32]}, {\"cell\": \"14\", \"bbox\": [202, 21, 214, 32]}, {\"cell\": \"15\", \"bbox\": [286, 21, 298, 32]}, {\"cell\": \"14\", \"bbox\": [369, 21, 381, 32]}, {\"cell\": \"15\", \"bbox\": [454, 21, 466, 32]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 37, 27, 48]}, {\"cell\": \"1992\", \"bbox\": [112, 37, 134, 48]}, {\"cell\": \"16.0 (0.7)\", \"bbox\": [187, 37, 228, 48]}, {\"cell\": \"16.5 (0.6)\", \"bbox\": [272, 37, 313, 48]}, {\"cell\": \"16.3 (0.8)\", \"bbox\": [355, 37, 396, 48]}, {\"cell\": \"16.8 (0.7)\", \"bbox\": [439, 37, 480, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [112, 52, 134, 63]}, {\"cell\": \"15.7 (0.8)\", \"bbox\": [187, 52, 228, 63]}, {\"cell\": \"16.4 (0.9)\", \"bbox\": [272, 52, 313, 63]}, {\"cell\": \"16.3 (0.6)\", \"bbox\": [355, 52, 396, 63]}, {\"cell\": \"16.7 (0.9)\", \"bbox\": [439, 52, 480, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [112, 67, 134, 78]}, {\"cell\": \"15.9 (0.7)\", \"bbox\": [187, 67, 228, 78]}, {\"cell\": \"16.3 (0.9)\", \"bbox\": [272, 67, 313, 78]}, {\"cell\": \"16.4 (0.8)\", \"bbox\": [355, 67, 396, 78]}, {\"cell\": \"16.7 (0.8)\", \"bbox\": [439, 67, 480, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [112, 82, 134, 93]}, {\"cell\": \"15.8 (0.6)\", \"bbox\": [187, 82, 228, 93]}, {\"cell\": \"16.2 (0.9)\", \"bbox\": [272, 82, 313, 93]}, {\"cell\": \"16.2 (0.8)\", \"bbox\": [355, 82, 396, 93]}, {\"cell\": \"16.6 (0.9)\", \"bbox\": [439, 82, 480, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 112, 52, 123]}, {\"cell\": \"F (1,3) = 2.32p = 0.129\", \"bbox\": [170, 95, 228, 123]}, {\"cell\": \"F (1,3) = 2.52p = 0.114\", \"bbox\": [263, 95, 321, 123]}, {\"cell\": \"F (1,3) = 0.29p =.594\", \"bbox\": [346, 95, 404, 123]}, {\"cell\": \"F (1,3) = 4.13p = 0.043\", \"bbox\": [431, 95, 489, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 128, 33, 139]}, {\"cell\": \"1992\", \"bbox\": [112, 128, 134, 139]}, {\"cell\": \"19.8 (1.5)\", \"bbox\": [187, 128, 228, 139]}, {\"cell\": \"20.4 (1.5)\", \"bbox\": [272, 128, 313, 139]}, {\"cell\": \"20.0(1.6)\", \"bbox\": [356, 128, 395, 139]}, {\"cell\": \"20.5 (1.6)\", \"bbox\": [439, 128, 480, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [112, 143, 134, 154]}, {\"cell\": \"19.7 (1.5)\", \"bbox\": [187, 143, 228, 154]}, {\"cell\": \"20.4 (1.5)\", \"bbox\": [272, 143, 313, 154]}, {\"cell\": \"19.9 (1.6)\", \"bbox\": [355, 143, 396, 154]}, {\"cell\": \"20.5 (1.7)\", \"bbox\": [439, 143, 480, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [112, 158, 134, 169]}, {\"cell\": \"20.0 (1.6)\", \"bbox\": [187, 158, 228, 169]}, {\"cell\": \"20.6 (1.6)\", \"bbox\": [272, 158, 313, 169]}, {\"cell\": \"19.9 (1.7)\", \"bbox\": [355, 158, 396, 169]}, {\"cell\": \"20.5 (1.7)\", \"bbox\": [439, 158, 480, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [112, 177, 134, 188]}, {\"cell\": \"19.9 (1.6)\", \"bbox\": [187, 177, 228, 188]}, {\"cell\": \"20.6 (1.6)\", \"bbox\": [272, 177, 313, 188]}, {\"cell\": \"20.1 (1.7)\", \"bbox\": [355, 177, 396, 188]}, {\"cell\": \"20.5 (1.7)\", \"bbox\": [439, 177, 480, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 207, 52, 219]}, {\"cell\": \"F (1,3) = 6.49p = 0.011\", \"bbox\": [170, 191, 228, 219]}, {\"cell\": \"F (1,3) = 12.78p = 0.000\", \"bbox\": [254, 191, 317, 219]}, {\"cell\": \"F (1,3) = 2.63p = 0.105\", \"bbox\": [346, 191, 404, 219]}, {\"cell\": \"F (1,3) = 0.18p = 0.669\", \"bbox\": [431, 191, 489, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 223, 23, 234]}, {\"cell\": \"1992\", \"bbox\": [112, 223, 134, 234]}, {\"cell\": \"24.7 (1.2)\", \"bbox\": [187, 223, 228, 234]}, {\"cell\": \"25.3 (1.3)\", \"bbox\": [272, 223, 313, 234]}, {\"cell\": \"25.4 (1.3)\", \"bbox\": [355, 223, 396, 234]}, {\"cell\": \"25.9 (1.3)\", \"bbox\": [439, 223, 480, 234]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [112, 238, 134, 249]}, {\"cell\": \"24.6 (1.4)\", \"bbox\": [187, 238, 228, 249]}, {\"cell\": \"25.0 (1.2)\", \"bbox\": [272, 238, 313, 249]}, {\"cell\": \"25.4 (1.4)\", \"bbox\": [355, 238, 396, 249]}, {\"cell\": \"26.0 (1.4)\", \"bbox\": [439, 238, 480, 249]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [112, 253, 134, 264]}, {\"cell\": \"24.7 (1.4)\", \"bbox\": [187, 253, 228, 264]}, {\"cell\": \"25.4 (1.4)\", \"bbox\": [272, 253, 313, 264]}, {\"cell\": \"25.4 (1.3)\", \"bbox\": [355, 253, 396, 264]}, {\"cell\": \"25.9 (1.3)\", \"bbox\": [439, 253, 480, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [112, 268, 134, 279]}, {\"cell\": \"24.8 (1.3)\", \"bbox\": [187, 268, 228, 279]}, {\"cell\": \"25.4 (1.4)\", \"bbox\": [272, 268, 313, 279]}, {\"cell\": \"25.3 (1.4)\", \"bbox\": [355, 268, 396, 279]}, {\"cell\": \"26 0.0 (1.3)\", \"bbox\": [436, 268, 484, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 298, 52, 310]}, {\"cell\": \"F (1,3) = 1.14p = 0.287\", \"bbox\": [179, 282, 237, 310]}, {\"cell\": \"F (1,3) = 2.72p = 0.100\", \"bbox\": [263, 282, 321, 310]}, {\"cell\": \"F (1.3) = 0.21p = 0.644\", \"bbox\": [346, 282, 404, 310]}, {\"cell\": \"F (1,3) = 0.45p = 0.505\", \"bbox\": [431, 282, 489, 310]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 314, 28, 325]}, {\"cell\": \"1992\", \"bbox\": [112, 314, 134, 325]}, {\"cell\": \"30.6 (1.4)\", \"bbox\": [187, 314, 228, 325]}, {\"cell\": \"30.0 (1.2)\", \"bbox\": [272, 314, 313, 325]}, {\"cell\": \"31.4 (1.6)\", \"bbox\": [355, 314, 396, 325]}, {\"cell\": \"31.2 (1.4)\", \"bbox\": [439, 314, 480, 325]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [112, 329, 134, 340]}, {\"cell\": \"30.9 (2.1)\", \"bbox\": [187, 329, 228, 340]}, {\"cell\": \"30.3 (1.5)\", \"bbox\": [272, 329, 313, 340]}, {\"cell\": \"30.7 (1.3)\", \"bbox\": [355, 329, 396, 340]}, {\"cell\": \"30.7 (1.0)\", \"bbox\": [439, 329, 480, 340]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [112, 344, 134, 355]}, {\"cell\": \"30.6 (1.9)\", \"bbox\": [187, 344, 228, 355]}, {\"cell\": \"30.8 (1.7)\", \"bbox\": [272, 344, 313, 355]}, {\"cell\": \"30.7 (1.5)\", \"bbox\": [355, 344, 396, 355]}, {\"cell\": \"31.2 (1.5)\", \"bbox\": [439, 344, 480, 355]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [112, 359, 134, 370]}, {\"cell\": \"30.8 (2.1)\", \"bbox\": [187, 359, 228, 370]}, {\"cell\": \"30.9 (1.8)\", \"bbox\": [272, 359, 313, 370]}, {\"cell\": \"31.3 (1.5)\", \"bbox\": [355, 359, 396, 370]}, {\"cell\": \"31.2 (1.5)\", \"bbox\": [439, 359, 480, 370]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 389, 52, 401]}, {\"cell\": \"F (1,3) = 0.17p = 0.684\", \"bbox\": [179, 373, 237, 401]}, {\"cell\": \"F (1,3) = 5.20p = 0.024\", \"bbox\": [263, 373, 321, 401]}, {\"cell\": \"F (1.3) = 0.07p = 0.793\", \"bbox\": [346, 373, 404, 401]}, {\"cell\": \"F (1.3) = 0.17p = 0.680\", \"bbox\": [431, 373, 489, 401]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2898044_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Time Domain HRV MeasuresDuring Relaxation
Optimal US Signal Not Compared to ECG SignalRelative Error Compared/Not Compared to ECG (%)
Sub. 1Sub. 2Sub. 3Sub. 4Sub. 5Sub. 1Sub. 2Sub. 3Sub. 4Sub. 5
AVNN (ms)937.501026.861001.04805.48[EMPTY_CELL]0.00/0.020.34/0.230.00/0.060.02/0.320.01/0.02
SDNN (ms)46.3268.2461.2830.95[EMPTY_CELL]0.28/1.348.99/8.780.01/0.020.30/12.910.01/0.18
rMSSD (ms)23.2570.2945.2826.41[EMPTY_CELL]2.68/4.2936.86/44.932.70/3.282.49/75.680.44/0.52
pNN20 (%)38.8162.4065.9914.21[EMPTY_CELL]6.53/7.099.67/10.482.18/3.183.20/3.713.42/3.73
pNN50 (%)3.3029.2424.151.99[EMPTY_CELL]2.09/54.7810.05/11.230.34/0.741.75/95.531.20/1.27
\", \"cells\": [{\"cell\": \"Time Domain HRV Measures\", \"bbox\": [14, 14, 88, 34]}, {\"cell\": \"During Relaxation\", \"bbox\": [324, 4, 395, 15]}, {\"cell\": \"Optimal US Signal Not Compared to ECG Signal\", \"bbox\": [127, 19, 311, 29]}, {\"cell\": \"Relative Error Compared/Not Compared to ECG (%)\", \"bbox\": [380, 19, 576, 29]}, {\"cell\": \"Sub. 1\", \"bbox\": [112, 33, 137, 43]}, {\"cell\": \"Sub. 2\", \"bbox\": [159, 33, 185, 43]}, {\"cell\": \"Sub. 3\", \"bbox\": [206, 33, 232, 43]}, {\"cell\": \"Sub. 4\", \"bbox\": [253, 33, 279, 43]}, {\"cell\": \"Sub. 5\", \"bbox\": [300, 33, 326, 43]}, {\"cell\": \"Sub. 1\", \"bbox\": [352, 33, 378, 43]}, {\"cell\": \"Sub. 2\", \"bbox\": [409, 33, 434, 43]}, {\"cell\": \"Sub. 3\", \"bbox\": [465, 33, 490, 43]}, {\"cell\": \"Sub. 4\", \"bbox\": [521, 33, 547, 43]}, {\"cell\": \"Sub. 5\", \"bbox\": [578, 33, 603, 43]}, {\"cell\": \"AVNN (ms)\", \"bbox\": [29, 48, 73, 58]}, {\"cell\": \"937.50\", \"bbox\": [112, 48, 137, 57]}, {\"cell\": \"1026.86\", \"bbox\": [158, 48, 186, 57]}, {\"cell\": \"1001.04\", \"bbox\": [205, 48, 233, 57]}, {\"cell\": \"805.48\", \"bbox\": [254, 48, 278, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [299, 48, 328, 57]}, {\"cell\": \"0.00/0.02\", \"bbox\": [347, 48, 383, 57]}, {\"cell\": \"0.34/0.23\", \"bbox\": [404, 48, 439, 57]}, {\"cell\": \"0.00/0.06\", \"bbox\": [460, 48, 495, 57]}, {\"cell\": \"0.02/0.32\", \"bbox\": [516, 48, 552, 57]}, {\"cell\": \"0.01/0.02\", \"bbox\": [573, 48, 608, 57]}, {\"cell\": \"SDNN (ms)\", \"bbox\": [29, 58, 73, 68]}, {\"cell\": \"46.32\", \"bbox\": [114, 58, 135, 67]}, {\"cell\": \"68.24\", \"bbox\": [162, 58, 182, 67]}, {\"cell\": \"61.28\", \"bbox\": [209, 58, 229, 67]}, {\"cell\": \"30.95\", \"bbox\": [256, 58, 276, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [303, 58, 323, 67]}, {\"cell\": \"0.28/1.34\", \"bbox\": [347, 58, 383, 67]}, {\"cell\": \"8.99/8.78\", \"bbox\": [404, 58, 439, 67]}, {\"cell\": \"0.01/0.02\", \"bbox\": [460, 58, 495, 67]}, {\"cell\": \"0.30/12.91\", \"bbox\": [514, 58, 554, 67]}, {\"cell\": \"0.01/0.18\", \"bbox\": [573, 58, 608, 67]}, {\"cell\": \"rMSSD (ms)\", \"bbox\": [28, 68, 75, 78]}, {\"cell\": \"23.25\", \"bbox\": [114, 68, 135, 77]}, {\"cell\": \"70.29\", \"bbox\": [162, 68, 182, 77]}, {\"cell\": \"45.28\", \"bbox\": [209, 68, 229, 77]}, {\"cell\": \"26.41\", \"bbox\": [256, 68, 276, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [303, 68, 323, 77]}, {\"cell\": \"2.68/4.29\", \"bbox\": [347, 68, 383, 77]}, {\"cell\": \"36.86/44.93\", \"bbox\": [400, 68, 443, 77]}, {\"cell\": \"2.70/3.28\", \"bbox\": [460, 68, 495, 77]}, {\"cell\": \"2.49/75.68\", \"bbox\": [514, 68, 554, 77]}, {\"cell\": \"0.44/0.52\", \"bbox\": [573, 68, 608, 77]}, {\"cell\": \"pNN20 (%)\", \"bbox\": [31, 78, 72, 88]}, {\"cell\": \"38.81\", \"bbox\": [114, 78, 135, 87]}, {\"cell\": \"62.40\", \"bbox\": [162, 78, 182, 87]}, {\"cell\": \"65.99\", \"bbox\": [209, 78, 229, 87]}, {\"cell\": \"14.21\", \"bbox\": [256, 78, 276, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [303, 78, 323, 87]}, {\"cell\": \"6.53/7.09\", \"bbox\": [347, 78, 383, 87]}, {\"cell\": \"9.67/10.48\", \"bbox\": [402, 78, 441, 87]}, {\"cell\": \"2.18/3.18\", \"bbox\": [460, 78, 495, 87]}, {\"cell\": \"3.20/3.71\", \"bbox\": [516, 78, 552, 87]}, {\"cell\": \"3.42/3.73\", \"bbox\": [573, 78, 608, 87]}, {\"cell\": \"pNN50 (%)\", \"bbox\": [31, 88, 72, 98]}, {\"cell\": \"3.30\", \"bbox\": [117, 88, 133, 97]}, {\"cell\": \"29.24\", \"bbox\": [162, 88, 182, 97]}, {\"cell\": \"24.15\", \"bbox\": [209, 88, 229, 97]}, {\"cell\": \"1.99\", \"bbox\": [258, 88, 274, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [303, 88, 323, 97]}, {\"cell\": \"2.09/54.78\", \"bbox\": [345, 88, 385, 97]}, {\"cell\": \"10.05/11.23\", \"bbox\": [400, 88, 443, 97]}, {\"cell\": \"0.34/0.74\", \"bbox\": [460, 88, 495, 97]}, {\"cell\": \"1.75/95.53\", \"bbox\": [514, 88, 554, 97]}, {\"cell\": \"1.20/1.27\", \"bbox\": [573, 88, 608, 97]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5712847_009_02.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
PhotographLines presentPossible options given for the multiple choice questionsComments
CPanP.f.1. Invalid2. Negative3. PositiveP.f.4. Positive,P.f.mixed infection possible5. Positive,P.non- falciparum6. Positive, but species not known
A+[EMPTY_CELL]F6.929.154.83.01.74.5Faint line (P.f.-HRP2) intensity read or interpreted as negative: 29.1%
B+[EMPTY_CELL]-5.290.02.60.40.71.0Missing negative test: 10.0%
C-[EMPTY_CELL]-91.66.10.90.60.30.4Missing invalid test (no control line, no test line): 8.4%
D+[EMPTY_CELL]S5.11.524.365.71.32.1Faint line (pLDH) intensity read or interpreted as negative: 24.3%
Failure to distinguish presence of P.f.: 1.3% + 2.1% = 3.4%
E+[EMPTY_CELL]-6.587.62.11.81.01.0Missing negative test: 12.4%
F+[EMPTY_CELL]W3.93.382.83.03.23.8Failure to distinguish presence of P.f.: 3.2% + 3.8% = 7.0%
Incorrect reading as negative: 3.3%
G+[EMPTY_CELL]-6.47.26.14.770.74.9Faint line (Pan-pLDH) intensity read as negative = 7.2%
Wrongly interpreted as P.f.: 6.1% + 4.7% = 10.8%
H+[EMPTY_CELL]M3.51.585.94.42.91.8Medium line (P.f.-HRP2) intensity read or interpreted as negative = 1.5%
Failure to distinguish presence of P.f.: 2.9% + 1.8% = 4.7%
I+[EMPTY_CELL]S2.00.64.189.91.12.3Failure to distinguish presence of P.f.: 1.1% + 2.3% = 3.4%
J-[EMPTY_CELL]S76.46.67.41.01.07.6Missing invalid test; No control line, presence of test line: 23.6%
\", \"cells\": [{\"cell\": \"Photograph\", \"bbox\": [1, 4, 42, 13]}, {\"cell\": \"Lines present\", \"bbox\": [46, 4, 73, 22]}, {\"cell\": \"Possible options given for the multiple choice questions\", \"bbox\": [92, 4, 290, 13]}, {\"cell\": \"Comments\", \"bbox\": [371, 4, 410, 13]}, {\"cell\": \"C\", \"bbox\": [46, 26, 53, 35]}, {\"cell\": \"Pan\", \"bbox\": [57, 26, 72, 35]}, {\"cell\": \"P.f.\", \"bbox\": [76, 26, 88, 35]}, {\"cell\": \"1. Invalid\", \"bbox\": [92, 26, 125, 35]}, {\"cell\": \"2. Negative\", \"bbox\": [129, 26, 171, 35]}, {\"cell\": \"3. PositiveP.f.\", \"bbox\": [175, 26, 223, 35]}, {\"cell\": \"4. Positive,P.f.mixed infection possible\", \"bbox\": [227, 26, 264, 63]}, {\"cell\": \"5. Positive,P.non- falciparum\", \"bbox\": [271, 26, 310, 53]}, {\"cell\": \"6. Positive, but species not known\", \"bbox\": [319, 26, 358, 53]}, {\"cell\": \"A\", \"bbox\": [1, 66, 7, 76]}, {\"cell\": \"+\", \"bbox\": [46, 66, 53, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [57, 66, 61, 76]}, {\"cell\": \"F\", \"bbox\": [76, 66, 81, 76]}, {\"cell\": \"6.9\", \"bbox\": [92, 66, 103, 76]}, {\"cell\": \"29.1\", \"bbox\": [129, 66, 144, 76]}, {\"cell\": \"54.8\", \"bbox\": [175, 66, 191, 76]}, {\"cell\": \"3.0\", \"bbox\": [227, 66, 238, 76]}, {\"cell\": \"1.7\", \"bbox\": [271, 66, 282, 76]}, {\"cell\": \"4.5\", \"bbox\": [319, 66, 330, 76]}, {\"cell\": \"Faint line (P.f.-HRP2) intensity read or interpreted as negative: 29.1%\", \"bbox\": [371, 66, 482, 85]}, {\"cell\": \"B\", \"bbox\": [1, 89, 7, 99]}, {\"cell\": \"+\", \"bbox\": [46, 89, 53, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [57, 89, 61, 99]}, {\"cell\": \"-\", \"bbox\": [76, 89, 80, 99]}, {\"cell\": \"5.2\", \"bbox\": [92, 89, 103, 99]}, {\"cell\": \"90.0\", \"bbox\": [129, 89, 146, 99]}, {\"cell\": \"2.6\", \"bbox\": [175, 89, 186, 99]}, {\"cell\": \"0.4\", \"bbox\": [227, 89, 238, 99]}, {\"cell\": \"0.7\", \"bbox\": [271, 89, 282, 99]}, {\"cell\": \"1.0\", \"bbox\": [319, 89, 330, 99]}, {\"cell\": \"Missing negative test: 10.0%\", \"bbox\": [371, 89, 463, 99]}, {\"cell\": \"C\", \"bbox\": [1, 103, 7, 113]}, {\"cell\": \"-\", \"bbox\": [46, 103, 50, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [57, 103, 61, 113]}, {\"cell\": \"-\", \"bbox\": [76, 103, 80, 113]}, {\"cell\": \"91.6\", \"bbox\": [92, 103, 108, 113]}, {\"cell\": \"6.1\", \"bbox\": [129, 103, 140, 113]}, {\"cell\": \"0.9\", \"bbox\": [175, 103, 186, 113]}, {\"cell\": \"0.6\", \"bbox\": [227, 103, 238, 113]}, {\"cell\": \"0.3\", \"bbox\": [271, 103, 282, 113]}, {\"cell\": \"0.4\", \"bbox\": [319, 103, 330, 113]}, {\"cell\": \"Missing invalid test (no control line, no test line): 8.4%\", \"bbox\": [371, 103, 469, 122]}, {\"cell\": \"D\", \"bbox\": [1, 126, 8, 136]}, {\"cell\": \"+\", \"bbox\": [46, 126, 53, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [57, 126, 62, 136]}, {\"cell\": \"S\", \"bbox\": [76, 126, 81, 136]}, {\"cell\": \"5.1\", \"bbox\": [92, 126, 103, 136]}, {\"cell\": \"1.5\", \"bbox\": [129, 126, 140, 136]}, {\"cell\": \"24.3\", \"bbox\": [175, 126, 189, 136]}, {\"cell\": \"65.7\", \"bbox\": [227, 126, 244, 136]}, {\"cell\": \"1.3\", \"bbox\": [271, 126, 282, 136]}, {\"cell\": \"2.1\", \"bbox\": [319, 126, 330, 136]}, {\"cell\": \"Faint line (pLDH) intensity read or interpreted as negative: 24.3%\", \"bbox\": [371, 126, 481, 145]}, {\"cell\": \"Failure to distinguish presence of P.f.: 1.3% + 2.1% = 3.4%\", \"bbox\": [371, 149, 479, 168]}, {\"cell\": \"E\", \"bbox\": [1, 172, 6, 182]}, {\"cell\": \"+\", \"bbox\": [46, 172, 53, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [57, 172, 61, 182]}, {\"cell\": \"-\", \"bbox\": [76, 172, 80, 182]}, {\"cell\": \"6.5\", \"bbox\": [92, 172, 103, 182]}, {\"cell\": \"87.6\", \"bbox\": [129, 172, 146, 182]}, {\"cell\": \"2.1\", \"bbox\": [175, 172, 186, 182]}, {\"cell\": \"1.8\", \"bbox\": [227, 172, 238, 182]}, {\"cell\": \"1.0\", \"bbox\": [271, 172, 282, 182]}, {\"cell\": \"1.0\", \"bbox\": [319, 172, 330, 182]}, {\"cell\": \"Missing negative test: 12.4%\", \"bbox\": [371, 172, 463, 182]}, {\"cell\": \"F\", \"bbox\": [1, 186, 6, 196]}, {\"cell\": \"+\", \"bbox\": [46, 186, 53, 196]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [57, 186, 61, 196]}, {\"cell\": \"W\", \"bbox\": [76, 186, 84, 196]}, {\"cell\": \"3.9\", \"bbox\": [92, 186, 103, 196]}, {\"cell\": \"3.3\", \"bbox\": [129, 186, 140, 196]}, {\"cell\": \"82.8\", \"bbox\": [175, 186, 191, 196]}, {\"cell\": \"3.0\", \"bbox\": [227, 186, 238, 196]}, {\"cell\": \"3.2\", \"bbox\": [271, 186, 282, 196]}, {\"cell\": \"3.8\", \"bbox\": [319, 186, 330, 196]}, {\"cell\": \"Failure to distinguish presence of P.f.: 3.2% + 3.8% = 7.0%\", \"bbox\": [371, 186, 479, 205]}, {\"cell\": \"Incorrect reading as negative: 3.3%\", \"bbox\": [371, 209, 484, 219]}, {\"cell\": \"G\", \"bbox\": [1, 223, 7, 233]}, {\"cell\": \"+\", \"bbox\": [46, 223, 53, 233]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [57, 223, 62, 233]}, {\"cell\": \"-\", \"bbox\": [76, 223, 80, 233]}, {\"cell\": \"6.4\", \"bbox\": [92, 223, 103, 233]}, {\"cell\": \"7.2\", \"bbox\": [129, 223, 140, 233]}, {\"cell\": \"6.1\", \"bbox\": [175, 223, 186, 233]}, {\"cell\": \"4.7\", \"bbox\": [227, 223, 238, 233]}, {\"cell\": \"70.7\", \"bbox\": [271, 223, 287, 233]}, {\"cell\": \"4.9\", \"bbox\": [319, 223, 330, 233]}, {\"cell\": \"Faint line (Pan-pLDH) intensity read as negative = 7.2%\", \"bbox\": [371, 223, 470, 242]}, {\"cell\": \"Wrongly interpreted as P.f.: 6.1% + 4.7% = 10.8%\", \"bbox\": [371, 246, 482, 265]}, {\"cell\": \"H\", \"bbox\": [1, 269, 8, 279]}, {\"cell\": \"+\", \"bbox\": [46, 269, 53, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [57, 269, 61, 279]}, {\"cell\": \"M\", \"bbox\": [76, 269, 84, 279]}, {\"cell\": \"3.5\", \"bbox\": [92, 269, 103, 279]}, {\"cell\": \"1.5\", \"bbox\": [129, 269, 140, 279]}, {\"cell\": \"85.9\", \"bbox\": [175, 269, 191, 279]}, {\"cell\": \"4.4\", \"bbox\": [227, 269, 238, 279]}, {\"cell\": \"2.9\", \"bbox\": [271, 269, 282, 279]}, {\"cell\": \"1.8\", \"bbox\": [319, 269, 330, 279]}, {\"cell\": \"Medium line (P.f.-HRP2) intensity read or interpreted as negative = 1.5%\", \"bbox\": [371, 269, 484, 288]}, {\"cell\": \"Failure to distinguish presence of P.f.: 2.9% + 1.8% = 4.7%\", \"bbox\": [371, 292, 479, 311]}, {\"cell\": \"I\", \"bbox\": [1, 315, 4, 325]}, {\"cell\": \"+\", \"bbox\": [46, 315, 53, 325]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [57, 315, 62, 325]}, {\"cell\": \"S\", \"bbox\": [76, 315, 81, 325]}, {\"cell\": \"2.0\", \"bbox\": [92, 315, 103, 325]}, {\"cell\": \"0.6\", \"bbox\": [129, 315, 140, 325]}, {\"cell\": \"4.1\", \"bbox\": [175, 315, 186, 325]}, {\"cell\": \"89.9\", \"bbox\": [227, 315, 244, 325]}, {\"cell\": \"1.1\", \"bbox\": [271, 315, 282, 325]}, {\"cell\": \"2.3\", \"bbox\": [319, 315, 330, 325]}, {\"cell\": \"Failure to distinguish presence of P.f.: 1.1% + 2.3% = 3.4%\", \"bbox\": [371, 315, 471, 334]}, {\"cell\": \"J\", \"bbox\": [1, 338, 5, 348]}, {\"cell\": \"-\", \"bbox\": [46, 338, 50, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [57, 338, 61, 348]}, {\"cell\": \"S\", \"bbox\": [76, 338, 81, 348]}, {\"cell\": \"76.4\", \"bbox\": [92, 338, 108, 348]}, {\"cell\": \"6.6\", \"bbox\": [129, 338, 140, 348]}, {\"cell\": \"7.4\", \"bbox\": [175, 338, 186, 348]}, {\"cell\": \"1.0\", \"bbox\": [227, 338, 238, 348]}, {\"cell\": \"1.0\", \"bbox\": [271, 338, 282, 348]}, {\"cell\": \"7.6\", \"bbox\": [319, 338, 330, 348]}, {\"cell\": \"Missing invalid test; No control line, presence of test line: 23.6%\", \"bbox\": [371, 338, 475, 357]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4318196_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]BNGPG
[EMPTY_CELL]T0T1T0[EMPTY_CELL]
Body mass (kg)86.3 [82.2-94.3]86.3[80.3-96.9]91.7 [82.1-110.8][EMPTY_CELL]
Height (m)1.55[1.52-1.66]1.55[1.53-1.67]1.64[1.56-1.69][EMPTY_CELL]
BMI (kg/m2)35.3[33.9-36.0]35.3[33.3-36.2]34.0[33.0-39.1][EMPTY_CELL]
Waist circumference (cm)105.0[93.0-117.8]112.0[99.5-116.0]111.0[104.0-117.8][EMPTY_CELL]
Insulin (mcU/ml)15.9[14.5-23.6]15.5[12.2-22.2]18.0[15.2-20.1][EMPTY_CELL]
Fasting glucose (mg/dl)89.5[81.5-94.0]86.0 [82.5-93.0]87.0[82.0-90.5][EMPTY_CELL]
HOMA3.6[2.9-5.2]3.5[2.6-6.5]3.9[3.1-4.4][EMPTY_CELL]
CRP (mg/dl)0.31[0.15-0.63]0.37[0.20-0.68]0.38[0.14-0.78][EMPTY_CELL]
Cholesterol (mg/dl)152.0[140.5-159.0]136.0[129.5-141.5] *†167.0[133.5-184.5][EMPTY_CELL]
HDL-c (mg/dl)44.0[41.5-48.5]43.5[40.0-50.5]45.0[36.0-48.0][EMPTY_CELL]
LDL-c (mg/dl)86.5[80.5-98.0]72.5[71.0-83.0] *†106.0[77.0-123.0][EMPTY_CELL]
TG (mg/dl)84.5[68.0-98.5]69.0[58.5-83.5]†113.5[87.0-132.5][EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"BNG\", \"bbox\": [205, 4, 222, 13]}, {\"cell\": \"PG\", \"bbox\": [391, 4, 403, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"T0\", \"bbox\": [121, 17, 132, 27]}, {\"cell\": \"T1\", \"bbox\": [211, 17, 221, 27]}, {\"cell\": \"T0\", \"bbox\": [310, 17, 320, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [399, 17, 409, 27]}, {\"cell\": \"Body mass (kg)\", \"bbox\": [1, 30, 56, 40]}, {\"cell\": \"86.3 [82.2-94.3]\", \"bbox\": [121, 31, 171, 39]}, {\"cell\": \"86.3[80.3-96.9]\", \"bbox\": [211, 31, 258, 39]}, {\"cell\": \"91.7 [82.1-110.8]\", \"bbox\": [310, 31, 363, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [399, 31, 450, 39]}, {\"cell\": \"Height (m)\", \"bbox\": [1, 42, 40, 52]}, {\"cell\": \"1.55[1.52-1.66]\", \"bbox\": [121, 43, 168, 51]}, {\"cell\": \"1.55[1.53-1.67]\", \"bbox\": [211, 43, 257, 51]}, {\"cell\": \"1.64[1.56-1.69]\", \"bbox\": [310, 43, 356, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [399, 43, 446, 51]}, {\"cell\": \"BMI (kg/m2)\", \"bbox\": [1, 53, 44, 64]}, {\"cell\": \"35.3[33.9-36.0]\", \"bbox\": [121, 55, 168, 63]}, {\"cell\": \"35.3[33.3-36.2]\", \"bbox\": [211, 55, 258, 63]}, {\"cell\": \"34.0[33.0-39.1]\", \"bbox\": [310, 55, 356, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [399, 55, 446, 63]}, {\"cell\": \"Waist circumference (cm)\", \"bbox\": [1, 66, 90, 76]}, {\"cell\": \"105.0[93.0-117.8]\", \"bbox\": [121, 67, 176, 75]}, {\"cell\": \"112.0[99.5-116.0]\", \"bbox\": [211, 67, 265, 75]}, {\"cell\": \"111.0[104.0-117.8]\", \"bbox\": [310, 67, 368, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [399, 67, 457, 75]}, {\"cell\": \"Insulin (mcU/ml)\", \"bbox\": [1, 78, 59, 88]}, {\"cell\": \"15.9[14.5-23.6]\", \"bbox\": [121, 78, 168, 87]}, {\"cell\": \"15.5[12.2-22.2]\", \"bbox\": [211, 78, 258, 87]}, {\"cell\": \"18.0[15.2-20.1]\", \"bbox\": [310, 78, 356, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [399, 78, 446, 87]}, {\"cell\": \"Fasting glucose (mg/dl)\", \"bbox\": [1, 90, 84, 100]}, {\"cell\": \"89.5[81.5-94.0]\", \"bbox\": [121, 90, 168, 99]}, {\"cell\": \"86.0 [82.5-93.0]\", \"bbox\": [211, 90, 260, 99]}, {\"cell\": \"87.0[82.0-90.5]\", \"bbox\": [310, 90, 356, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [399, 90, 446, 99]}, {\"cell\": \"HOMA\", \"bbox\": [1, 102, 25, 112]}, {\"cell\": \"3.6[2.9-5.2]\", \"bbox\": [121, 102, 157, 111]}, {\"cell\": \"3.5[2.6-6.5]\", \"bbox\": [211, 102, 246, 111]}, {\"cell\": \"3.9[3.1-4.4]\", \"bbox\": [310, 102, 345, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [399, 102, 434, 111]}, {\"cell\": \"CRP (mg/dl)\", \"bbox\": [1, 114, 44, 124]}, {\"cell\": \"0.31[0.15-0.63]\", \"bbox\": [121, 114, 168, 123]}, {\"cell\": \"0.37[0.20-0.68]\", \"bbox\": [211, 114, 257, 123]}, {\"cell\": \"0.38[0.14-0.78]\", \"bbox\": [310, 114, 356, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [399, 114, 446, 123]}, {\"cell\": \"Cholesterol (mg/dl)\", \"bbox\": [1, 126, 69, 136]}, {\"cell\": \"152.0[140.5-159.0]\", \"bbox\": [121, 126, 180, 135]}, {\"cell\": \"136.0[129.5-141.5] *†\", \"bbox\": [211, 126, 278, 135]}, {\"cell\": \"167.0[133.5-184.5]\", \"bbox\": [310, 126, 368, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [399, 126, 457, 135]}, {\"cell\": \"HDL-c (mg/dl)\", \"bbox\": [1, 138, 51, 148]}, {\"cell\": \"44.0[41.5-48.5]\", \"bbox\": [121, 138, 168, 147]}, {\"cell\": \"43.5[40.0-50.5]\", \"bbox\": [211, 138, 257, 147]}, {\"cell\": \"45.0[36.0-48.0]\", \"bbox\": [310, 138, 356, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [399, 138, 446, 147]}, {\"cell\": \"LDL-c (mg/dl)\", \"bbox\": [1, 150, 50, 159]}, {\"cell\": \"86.5[80.5-98.0]\", \"bbox\": [121, 150, 168, 159]}, {\"cell\": \"72.5[71.0-83.0] *†\", \"bbox\": [211, 150, 267, 159]}, {\"cell\": \"106.0[77.0-123.0]\", \"bbox\": [310, 150, 364, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [399, 150, 453, 159]}, {\"cell\": \"TG (mg/dl)\", \"bbox\": [1, 162, 40, 171]}, {\"cell\": \"84.5[68.0-98.5]\", \"bbox\": [121, 162, 168, 171]}, {\"cell\": \"69.0[58.5-83.5]†\", \"bbox\": [211, 162, 261, 171]}, {\"cell\": \"113.5[87.0-132.5]\", \"bbox\": [310, 162, 364, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [399, 162, 453, 171]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3123174_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Hi-Act/Low-Sed Lo-Act/Med-Sed (n = 436)Hi-Act/Hi-Sed [EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
VariableMeanSDMeanSDMean SDFPScheffe
Weekday CPM - Early morning633.93405.51624.94356.48656.45320.080.330.716[EMPTY_CELL]
Weekday CPM - Core hours493.91163.70482.24162.10556.59209.978.81[EMPTY_CELL][EMPTY_CELL]
Weekday CPM - Afternoon723.06374.11655.67323.04726.05365.203.460.032[EMPTY_CELL]
Weekday CPM - Evening517.40334.14455.83302.94532.10373.313.870.021[EMPTY_CELL]
Weekday Sed Mins - Early morning57.0928.7355.8225.1553.8727.510.620.539[EMPTY_CELL]
Weekday Sed Mins - Core hours275.5359.17282.4546.36277.8533.941.520.220[EMPTY_CELL]
Weekday Sed Mins - Afternoon118.2235.77125.7326.87121.7528.224.620.010[EMPTY_CELL]
Weekday Sed Mins - Evening100.9140.75108.9534.04105.9034.063.690.026[EMPTY_CELL]
Weekday MVPA Mins - Early morning4.273.834.253.634.584.110.370.692[EMPTY_CELL]
Weekday MVPA Mins - Core hours16.749.0616.158.6620.3111.529.20[EMPTY_CELL][EMPTY_CELL]
Weekday MVPA Mins - Afternoon11.087.9010.216.8412.298.913.540.030[EMPTY_CELL]
Weekday MVPA Mins - Evening5.425.274.834.646.095.233.120.045[EMPTY_CELL]
Weekend CPM - Early morning573.55710.90462.18568.99401.28304.412.070.127[EMPTY_CELL]
Weekend CPM - Core hours641.29377.41543.22340.71559.44307.625.490.004[EMPTY_CELL]
Weekend CPM - Afternoon681.19498.67608.68465.76560.67369.212.810.061[EMPTY_CELL]
Weekend CPM - Evening474.10513.14392.26301.46361.85253.664.120.017[EMPTY_CELL]
Weekend Sed Mins - Early morning22.7833.5620.8229.7922.2736.560.260.769[EMPTY_CELL]
Weekend Sed Mins - Core hours225.4068.93241.3861.81228.9856.444.460.012[EMPTY_CELL]
Weekend Sed Mins - Afternoon122.2540.51132.5230.30132.6331.486.620.001[EMPTY_CELL]
Weekend Sed Mins - Evening113.6744.50119.3139.96121.0044.271.590.205[EMPTY_CELL]
Weekend MVPA Mins - Early morning1.254.640.721.990.761.891.910.149[EMPTY_CELL]
Weekend MVPA Mins - Core hours18.3816.6015.0114.3215.0513.923.690.026[EMPTY_CELL]
Weekend MVPA Mins - Afternoon9.769.158.628.218.448.071.450.235[EMPTY_CELL]
Weekend MVPA Mins - Evening4.655.254.325.254.326.080.290.745[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Hi-Act/Low-Sed \", \"bbox\": [135, 4, 190, 13]}, {\"cell\": \"Lo-Act/Med-Sed (n = 436)\", \"bbox\": [209, 4, 300, 13]}, {\"cell\": \"Hi-Act/Hi-Sed \", \"bbox\": [319, 4, 367, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Variable\", \"bbox\": [0, 16, 31, 25]}, {\"cell\": \"Mean\", \"bbox\": [135, 16, 156, 25]}, {\"cell\": \"SD\", \"bbox\": [172, 16, 183, 25]}, {\"cell\": \"Mean\", \"bbox\": [209, 16, 230, 25]}, {\"cell\": \"SD\", \"bbox\": [264, 16, 276, 25]}, {\"cell\": \"Mean \", \"bbox\": [319, 16, 340, 25]}, {\"cell\": \"SD\", \"bbox\": [353, 16, 365, 25]}, {\"cell\": \"F\", \"bbox\": [387, 16, 393, 25]}, {\"cell\": \"P\", \"bbox\": [413, 16, 419, 25]}, {\"cell\": \"Scheffe\", \"bbox\": [450, 16, 477, 25]}, {\"cell\": \"Weekday CPM - Early morning\", \"bbox\": [0, 29, 101, 39]}, {\"cell\": \"633.93\", \"bbox\": [135, 29, 157, 39]}, {\"cell\": \"405.51\", \"bbox\": [172, 29, 194, 39]}, {\"cell\": \"624.94\", \"bbox\": [209, 29, 231, 39]}, {\"cell\": \"356.48\", \"bbox\": [264, 29, 286, 39]}, {\"cell\": \"656.45\", \"bbox\": [319, 29, 342, 39]}, {\"cell\": \"320.08\", \"bbox\": [353, 29, 375, 39]}, {\"cell\": \"0.33\", \"bbox\": [387, 29, 402, 39]}, {\"cell\": \"0.716\", \"bbox\": [413, 29, 432, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Weekday CPM - Core hours\", \"bbox\": [0, 42, 91, 52]}, {\"cell\": \"493.91\", \"bbox\": [135, 42, 157, 52]}, {\"cell\": \"163.70\", \"bbox\": [172, 42, 194, 52]}, {\"cell\": \"482.24\", \"bbox\": [209, 42, 231, 52]}, {\"cell\": \"162.10\", \"bbox\": [264, 42, 286, 52]}, {\"cell\": \"556.59\", \"bbox\": [319, 42, 342, 52]}, {\"cell\": \"209.97\", \"bbox\": [353, 42, 375, 52]}, {\"cell\": \"8.81\", \"bbox\": [387, 42, 402, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [413, 42, 438, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 42, 465, 51]}, {\"cell\": \"Weekday CPM - Afternoon\", \"bbox\": [0, 56, 88, 65]}, {\"cell\": \"723.06\", \"bbox\": [135, 56, 157, 65]}, {\"cell\": \"374.11\", \"bbox\": [172, 56, 194, 65]}, {\"cell\": \"655.67\", \"bbox\": [209, 56, 231, 65]}, {\"cell\": \"323.04\", \"bbox\": [264, 56, 286, 65]}, {\"cell\": \"726.05\", \"bbox\": [319, 56, 342, 65]}, {\"cell\": \"365.20\", \"bbox\": [353, 56, 375, 65]}, {\"cell\": \"3.46\", \"bbox\": [387, 56, 402, 65]}, {\"cell\": \"0.032\", \"bbox\": [413, 56, 434, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Weekday CPM - Evening\", \"bbox\": [0, 69, 82, 78]}, {\"cell\": \"517.40\", \"bbox\": [135, 69, 157, 78]}, {\"cell\": \"334.14\", \"bbox\": [172, 69, 194, 78]}, {\"cell\": \"455.83\", \"bbox\": [209, 69, 231, 78]}, {\"cell\": \"302.94\", \"bbox\": [264, 69, 286, 78]}, {\"cell\": \"532.10\", \"bbox\": [319, 69, 342, 78]}, {\"cell\": \"373.31\", \"bbox\": [353, 69, 375, 78]}, {\"cell\": \"3.87\", \"bbox\": [387, 69, 402, 78]}, {\"cell\": \"0.021\", \"bbox\": [413, 69, 434, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Weekday Sed Mins - Early morning\", \"bbox\": [0, 82, 116, 91]}, {\"cell\": \"57.09\", \"bbox\": [135, 82, 153, 91]}, {\"cell\": \"28.73\", \"bbox\": [172, 82, 190, 91]}, {\"cell\": \"55.82\", \"bbox\": [209, 82, 227, 91]}, {\"cell\": \"25.15\", \"bbox\": [264, 82, 283, 91]}, {\"cell\": \"53.87\", \"bbox\": [319, 82, 338, 91]}, {\"cell\": \"27.51\", \"bbox\": [353, 82, 372, 91]}, {\"cell\": \"0.62\", \"bbox\": [387, 82, 402, 91]}, {\"cell\": \"0.539\", \"bbox\": [413, 82, 432, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Weekday Sed Mins - Core hours\", \"bbox\": [0, 95, 106, 105]}, {\"cell\": \"275.53\", \"bbox\": [135, 95, 157, 105]}, {\"cell\": \"59.17\", \"bbox\": [172, 95, 190, 105]}, {\"cell\": \"282.45\", \"bbox\": [209, 95, 231, 105]}, {\"cell\": \"46.36\", \"bbox\": [264, 95, 283, 105]}, {\"cell\": \"277.85\", \"bbox\": [319, 95, 342, 105]}, {\"cell\": \"33.94\", \"bbox\": [353, 95, 372, 105]}, {\"cell\": \"1.52\", \"bbox\": [387, 95, 402, 105]}, {\"cell\": \"0.220\", \"bbox\": [413, 95, 432, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Weekday Sed Mins - Afternoon\", \"bbox\": [0, 108, 103, 118]}, {\"cell\": \"118.22\", \"bbox\": [135, 108, 157, 118]}, {\"cell\": \"35.77\", \"bbox\": [172, 108, 190, 118]}, {\"cell\": \"125.73\", \"bbox\": [209, 108, 231, 118]}, {\"cell\": \"26.87\", \"bbox\": [264, 108, 283, 118]}, {\"cell\": \"121.75\", \"bbox\": [319, 108, 342, 118]}, {\"cell\": \"28.22\", \"bbox\": [353, 108, 372, 118]}, {\"cell\": \"4.62\", \"bbox\": [387, 108, 402, 118]}, {\"cell\": \"0.010\", \"bbox\": [413, 108, 434, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 108, 457, 117]}, {\"cell\": \"Weekday Sed Mins - Evening\", \"bbox\": [0, 122, 96, 131]}, {\"cell\": \"100.91\", \"bbox\": [135, 122, 157, 131]}, {\"cell\": \"40.75\", \"bbox\": [172, 122, 190, 131]}, {\"cell\": \"108.95\", \"bbox\": [209, 122, 231, 131]}, {\"cell\": \"34.04\", \"bbox\": [264, 122, 283, 131]}, {\"cell\": \"105.90\", \"bbox\": [319, 122, 342, 131]}, {\"cell\": \"34.06\", \"bbox\": [353, 122, 372, 131]}, {\"cell\": \"3.69\", \"bbox\": [387, 122, 402, 131]}, {\"cell\": \"0.026\", \"bbox\": [413, 122, 434, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 122, 457, 130]}, {\"cell\": \"Weekday MVPA Mins - Early morning\", \"bbox\": [0, 135, 123, 144]}, {\"cell\": \"4.27\", \"bbox\": [135, 135, 150, 144]}, {\"cell\": \"3.83\", \"bbox\": [172, 135, 187, 144]}, {\"cell\": \"4.25\", \"bbox\": [209, 135, 224, 144]}, {\"cell\": \"3.63\", \"bbox\": [264, 135, 279, 144]}, {\"cell\": \"4.58\", \"bbox\": [319, 135, 334, 144]}, {\"cell\": \"4.11\", \"bbox\": [353, 135, 368, 144]}, {\"cell\": \"0.37\", \"bbox\": [387, 135, 402, 144]}, {\"cell\": \"0.692\", \"bbox\": [413, 135, 432, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Weekday MVPA Mins - Core hours\", \"bbox\": [0, 148, 113, 157]}, {\"cell\": \"16.74\", \"bbox\": [135, 148, 153, 157]}, {\"cell\": \"9.06\", \"bbox\": [172, 148, 187, 157]}, {\"cell\": \"16.15\", \"bbox\": [209, 148, 227, 157]}, {\"cell\": \"8.66\", \"bbox\": [264, 148, 279, 157]}, {\"cell\": \"20.31\", \"bbox\": [319, 148, 338, 157]}, {\"cell\": \"11.52\", \"bbox\": [353, 148, 372, 157]}, {\"cell\": \"9.20\", \"bbox\": [387, 148, 402, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [413, 148, 438, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 148, 465, 157]}, {\"cell\": \"Weekday MVPA Mins - Afternoon\", \"bbox\": [0, 161, 110, 171]}, {\"cell\": \"11.08\", \"bbox\": [135, 161, 153, 171]}, {\"cell\": \"7.90\", \"bbox\": [172, 161, 187, 171]}, {\"cell\": \"10.21\", \"bbox\": [209, 161, 227, 171]}, {\"cell\": \"6.84\", \"bbox\": [264, 161, 279, 171]}, {\"cell\": \"12.29\", \"bbox\": [319, 161, 338, 171]}, {\"cell\": \"8.91\", \"bbox\": [353, 161, 368, 171]}, {\"cell\": \"3.54\", \"bbox\": [387, 161, 402, 171]}, {\"cell\": \"0.030\", \"bbox\": [413, 161, 434, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 161, 456, 170]}, {\"cell\": \"Weekday MVPA Mins - Evening\", \"bbox\": [0, 174, 103, 184]}, {\"cell\": \"5.42\", \"bbox\": [135, 174, 150, 184]}, {\"cell\": \"5.27\", \"bbox\": [172, 174, 187, 184]}, {\"cell\": \"4.83\", \"bbox\": [209, 174, 224, 184]}, {\"cell\": \"4.64\", \"bbox\": [264, 174, 279, 184]}, {\"cell\": \"6.09\", \"bbox\": [319, 174, 334, 184]}, {\"cell\": \"5.23\", \"bbox\": [353, 174, 368, 184]}, {\"cell\": \"3.12\", \"bbox\": [387, 174, 402, 184]}, {\"cell\": \"0.045\", \"bbox\": [413, 174, 434, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Weekend CPM - Early morning\", \"bbox\": [0, 201, 102, 210]}, {\"cell\": \"573.55\", \"bbox\": [135, 201, 157, 210]}, {\"cell\": \"710.90\", \"bbox\": [172, 201, 194, 210]}, {\"cell\": \"462.18\", \"bbox\": [209, 201, 231, 210]}, {\"cell\": \"568.99\", \"bbox\": [264, 201, 286, 210]}, {\"cell\": \"401.28\", \"bbox\": [319, 201, 342, 210]}, {\"cell\": \"304.41\", \"bbox\": [353, 201, 375, 210]}, {\"cell\": \"2.07\", \"bbox\": [387, 201, 402, 210]}, {\"cell\": \"0.127\", \"bbox\": [413, 201, 432, 210]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Weekend CPM - Core hours\", \"bbox\": [0, 214, 92, 223]}, {\"cell\": \"641.29\", \"bbox\": [135, 214, 157, 223]}, {\"cell\": \"377.41\", \"bbox\": [172, 214, 194, 223]}, {\"cell\": \"543.22\", \"bbox\": [209, 214, 231, 223]}, {\"cell\": \"340.71\", \"bbox\": [264, 214, 286, 223]}, {\"cell\": \"559.44\", \"bbox\": [319, 214, 342, 223]}, {\"cell\": \"307.62\", \"bbox\": [353, 214, 375, 223]}, {\"cell\": \"5.49\", \"bbox\": [387, 214, 402, 223]}, {\"cell\": \"0.004\", \"bbox\": [413, 214, 434, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 214, 457, 223]}, {\"cell\": \"Weekend CPM - Afternoon\", \"bbox\": [0, 227, 89, 237]}, {\"cell\": \"681.19\", \"bbox\": [135, 227, 157, 237]}, {\"cell\": \"498.67\", \"bbox\": [172, 227, 194, 237]}, {\"cell\": \"608.68\", \"bbox\": [209, 227, 231, 237]}, {\"cell\": \"465.76\", \"bbox\": [264, 227, 286, 237]}, {\"cell\": \"560.67\", \"bbox\": [319, 227, 342, 237]}, {\"cell\": \"369.21\", \"bbox\": [353, 227, 375, 237]}, {\"cell\": \"2.81\", \"bbox\": [387, 227, 402, 237]}, {\"cell\": \"0.061\", \"bbox\": [413, 227, 432, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Weekend CPM - Evening\", \"bbox\": [0, 240, 83, 250]}, {\"cell\": \"474.10\", \"bbox\": [135, 240, 157, 250]}, {\"cell\": \"513.14\", \"bbox\": [172, 240, 194, 250]}, {\"cell\": \"392.26\", \"bbox\": [209, 240, 231, 250]}, {\"cell\": \"301.46\", \"bbox\": [264, 240, 286, 250]}, {\"cell\": \"361.85\", \"bbox\": [319, 240, 342, 250]}, {\"cell\": \"253.66\", \"bbox\": [353, 240, 375, 250]}, {\"cell\": \"4.12\", \"bbox\": [387, 240, 402, 250]}, {\"cell\": \"0.017\", \"bbox\": [413, 240, 434, 249]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Weekend Sed Mins - Early morning\", \"bbox\": [0, 254, 117, 263]}, {\"cell\": \"22.78\", \"bbox\": [135, 254, 153, 263]}, {\"cell\": \"33.56\", \"bbox\": [172, 254, 190, 263]}, {\"cell\": \"20.82\", \"bbox\": [209, 254, 227, 263]}, {\"cell\": \"29.79\", \"bbox\": [264, 254, 283, 263]}, {\"cell\": \"22.27\", \"bbox\": [319, 254, 338, 263]}, {\"cell\": \"36.56\", \"bbox\": [353, 254, 372, 263]}, {\"cell\": \"0.26\", \"bbox\": [387, 254, 402, 263]}, {\"cell\": \"0.769\", \"bbox\": [413, 254, 432, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Weekend Sed Mins - Core hours\", \"bbox\": [0, 267, 107, 276]}, {\"cell\": \"225.40\", \"bbox\": [135, 267, 157, 276]}, {\"cell\": \"68.93\", \"bbox\": [172, 267, 190, 276]}, {\"cell\": \"241.38\", \"bbox\": [209, 267, 231, 276]}, {\"cell\": \"61.81\", \"bbox\": [264, 267, 283, 276]}, {\"cell\": \"228.98\", \"bbox\": [319, 267, 342, 276]}, {\"cell\": \"56.44\", \"bbox\": [353, 267, 372, 276]}, {\"cell\": \"4.46\", \"bbox\": [387, 267, 402, 276]}, {\"cell\": \"0.012\", \"bbox\": [413, 267, 434, 275]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 267, 457, 275]}, {\"cell\": \"Weekend Sed Mins - Afternoon\", \"bbox\": [0, 280, 104, 289]}, {\"cell\": \"122.25\", \"bbox\": [135, 280, 157, 289]}, {\"cell\": \"40.51\", \"bbox\": [172, 280, 190, 289]}, {\"cell\": \"132.52\", \"bbox\": [209, 280, 231, 289]}, {\"cell\": \"30.30\", \"bbox\": [264, 280, 283, 289]}, {\"cell\": \"132.63\", \"bbox\": [319, 280, 342, 289]}, {\"cell\": \"31.48\", \"bbox\": [353, 280, 372, 289]}, {\"cell\": \"6.62\", \"bbox\": [387, 280, 402, 289]}, {\"cell\": \"0.001\", \"bbox\": [413, 280, 434, 289]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 280, 466, 289]}, {\"cell\": \"Weekend Sed Mins - Evening\", \"bbox\": [0, 293, 97, 303]}, {\"cell\": \"113.67\", \"bbox\": [135, 293, 157, 303]}, {\"cell\": \"44.50\", \"bbox\": [172, 293, 190, 303]}, {\"cell\": \"119.31\", \"bbox\": [209, 293, 231, 303]}, {\"cell\": \"39.96\", \"bbox\": [264, 293, 283, 303]}, {\"cell\": \"121.00\", \"bbox\": [319, 293, 342, 303]}, {\"cell\": \"44.27\", \"bbox\": [353, 293, 372, 303]}, {\"cell\": \"1.59\", \"bbox\": [387, 293, 402, 303]}, {\"cell\": \"0.205\", \"bbox\": [413, 293, 432, 303]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Weekend MVPA Mins - Early morning\", \"bbox\": [0, 306, 124, 316]}, {\"cell\": \"1.25\", \"bbox\": [135, 306, 150, 316]}, {\"cell\": \"4.64\", \"bbox\": [172, 306, 187, 316]}, {\"cell\": \"0.72\", \"bbox\": [209, 306, 224, 316]}, {\"cell\": \"1.99\", \"bbox\": [264, 306, 279, 316]}, {\"cell\": \"0.76\", \"bbox\": [319, 306, 334, 316]}, {\"cell\": \"1.89\", \"bbox\": [353, 306, 368, 316]}, {\"cell\": \"1.91\", \"bbox\": [387, 306, 402, 316]}, {\"cell\": \"0.149\", \"bbox\": [413, 306, 432, 316]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Weekend MVPA Mins - Core hours\", \"bbox\": [0, 320, 114, 329]}, {\"cell\": \"18.38\", \"bbox\": [135, 320, 153, 329]}, {\"cell\": \"16.60\", \"bbox\": [172, 320, 190, 329]}, {\"cell\": \"15.01\", \"bbox\": [209, 320, 227, 329]}, {\"cell\": \"14.32\", \"bbox\": [264, 320, 283, 329]}, {\"cell\": \"15.05\", \"bbox\": [319, 320, 338, 329]}, {\"cell\": \"13.92\", \"bbox\": [353, 320, 372, 329]}, {\"cell\": \"3.69\", \"bbox\": [387, 320, 402, 329]}, {\"cell\": \"0.026\", \"bbox\": [413, 320, 434, 328]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 320, 457, 328]}, {\"cell\": \"Weekend MVPA Mins - Afternoon\", \"bbox\": [0, 333, 111, 342]}, {\"cell\": \"9.76\", \"bbox\": [135, 333, 150, 342]}, {\"cell\": \"9.15\", \"bbox\": [172, 333, 187, 342]}, {\"cell\": \"8.62\", \"bbox\": [209, 333, 224, 342]}, {\"cell\": \"8.21\", \"bbox\": [264, 333, 279, 342]}, {\"cell\": \"8.44\", \"bbox\": [319, 333, 334, 342]}, {\"cell\": \"8.07\", \"bbox\": [353, 333, 368, 342]}, {\"cell\": \"1.45\", \"bbox\": [387, 333, 402, 342]}, {\"cell\": \"0.235\", \"bbox\": [413, 333, 432, 342]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Weekend MVPA Mins - Evening\", \"bbox\": [0, 346, 104, 355]}, {\"cell\": \"4.65\", \"bbox\": [135, 346, 150, 355]}, {\"cell\": \"5.25\", \"bbox\": [172, 346, 187, 355]}, {\"cell\": \"4.32\", \"bbox\": [209, 346, 224, 355]}, {\"cell\": \"5.25\", \"bbox\": [264, 346, 279, 355]}, {\"cell\": \"4.32\", \"bbox\": [319, 346, 334, 355]}, {\"cell\": \"6.08\", \"bbox\": [353, 346, 368, 355]}, {\"cell\": \"0.29\", \"bbox\": [387, 346, 402, 355]}, {\"cell\": \"0.745\", \"bbox\": [413, 346, 432, 355]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2918527_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
PredictorModel without US-7Model with US-7
β (95% CI)P valueβ (95% CI)P value
Female0.182 (-0.007; 0.370)0.0590.167 (-0.012; 0.347)[EMPTY_CELL]
Age (years)0.172 (0.113; 0.231)[EMPTY_CELL]0.169 (0.113; 0.226)[EMPTY_CELL]
BMI0.009 (-0.009; 0.026)0.3160.007 (-0.010; 0.024)[EMPTY_CELL]
RF+ or ACPA+0.060 (-0.103; 0.224)0.4710.052 (-0.106; 0.210)[EMPTY_CELL]
Prevalent vs. incident RA0.026 (-0.156; 0.209)0.7790.010 (-0.165; 0.186)[EMPTY_CELL]
Previous DAS28-CRP0.100 (0.061; 0.140)[EMPTY_CELL]0.161 (0.113; 0.208)[EMPTY_CELL]
Previous GSsynSS[EMPTY_CELL]-0.004 (-0.019; 0.010)0.563
Previous PDsynSS[EMPTY_CELL]-0.021 (-0.040; -0.002)0.035
Previous GStenSS[EMPTY_CELL]0.000 (-0.085; 0.085)0.997
Previous PDtenSS[EMPTY_CELL]-0.015 (-0.078; 0.048)0.643
Previous erosions score[EMPTY_CELL]0.012 (-0.022; 0.046)0.484
R2 (% variability explained)32.339.1
Improved R2[EMPTY_CELL]6.8<0.001*
\", \"cells\": [{\"cell\": \"Predictor\", \"bbox\": [1, 4, 31, 13]}, {\"cell\": \"Model without US-7\", \"bbox\": [140, 4, 207, 13]}, {\"cell\": \"Model with US-7\", \"bbox\": [336, 4, 392, 13]}, {\"cell\": \"β (95% CI)\", \"bbox\": [140, 17, 175, 27]}, {\"cell\": \"P value\", \"bbox\": [258, 17, 283, 27]}, {\"cell\": \"β (95% CI)\", \"bbox\": [336, 17, 371, 27]}, {\"cell\": \"P value\", \"bbox\": [458, 17, 483, 27]}, {\"cell\": \"Female\", \"bbox\": [1, 30, 26, 40]}, {\"cell\": \"0.182 (-0.007; 0.370)\", \"bbox\": [140, 30, 205, 40]}, {\"cell\": \"0.059\", \"bbox\": [258, 30, 277, 40]}, {\"cell\": \"0.167 (-0.012; 0.347)\", \"bbox\": [336, 30, 400, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 30, 477, 40]}, {\"cell\": \"Age (years)\", \"bbox\": [1, 44, 38, 54]}, {\"cell\": \"0.172 (0.113; 0.231)\", \"bbox\": [140, 44, 202, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 45, 281, 52]}, {\"cell\": \"0.169 (0.113; 0.226)\", \"bbox\": [336, 44, 398, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 45, 481, 52]}, {\"cell\": \"BMI\", \"bbox\": [1, 58, 14, 68]}, {\"cell\": \"0.009 (-0.009; 0.026)\", \"bbox\": [140, 58, 205, 68]}, {\"cell\": \"0.316\", \"bbox\": [258, 58, 277, 68]}, {\"cell\": \"0.007 (-0.010; 0.024)\", \"bbox\": [336, 58, 400, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 58, 477, 68]}, {\"cell\": \"RF+ or ACPA+\", \"bbox\": [1, 72, 49, 82]}, {\"cell\": \"0.060 (-0.103; 0.224)\", \"bbox\": [140, 72, 205, 82]}, {\"cell\": \"0.471\", \"bbox\": [258, 72, 277, 82]}, {\"cell\": \"0.052 (-0.106; 0.210)\", \"bbox\": [336, 72, 400, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 72, 477, 82]}, {\"cell\": \"Prevalent vs. incident RA\", \"bbox\": [1, 86, 81, 96]}, {\"cell\": \"0.026 (-0.156; 0.209)\", \"bbox\": [140, 86, 205, 96]}, {\"cell\": \"0.779\", \"bbox\": [258, 86, 277, 96]}, {\"cell\": \"0.010 (-0.165; 0.186)\", \"bbox\": [336, 86, 400, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 86, 477, 96]}, {\"cell\": \"Previous DAS28-CRP\", \"bbox\": [1, 100, 67, 110]}, {\"cell\": \"0.100 (0.061; 0.140)\", \"bbox\": [140, 100, 202, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 101, 281, 108]}, {\"cell\": \"0.161 (0.113; 0.208)\", \"bbox\": [336, 100, 398, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 101, 481, 108]}, {\"cell\": \"Previous GSsynSS\", \"bbox\": [1, 114, 58, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"-0.004 (-0.019; 0.010)\", \"bbox\": [336, 114, 403, 124]}, {\"cell\": \"0.563\", \"bbox\": [458, 114, 477, 124]}, {\"cell\": \"Previous PDsynSS\", \"bbox\": [1, 128, 59, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"-0.021 (-0.040; -0.002)\", \"bbox\": [336, 128, 405, 138]}, {\"cell\": \"0.035\", \"bbox\": [458, 129, 476, 136]}, {\"cell\": \"Previous GStenSS\", \"bbox\": [1, 142, 58, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.000 (-0.085; 0.085)\", \"bbox\": [336, 142, 400, 152]}, {\"cell\": \"0.997\", \"bbox\": [458, 142, 477, 152]}, {\"cell\": \"Previous PDtenSS\", \"bbox\": [1, 156, 59, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"-0.015 (-0.078; 0.048)\", \"bbox\": [336, 156, 403, 166]}, {\"cell\": \"0.643\", \"bbox\": [458, 156, 477, 166]}, {\"cell\": \"Previous erosions score\", \"bbox\": [1, 170, 77, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.012 (-0.022; 0.046)\", \"bbox\": [336, 170, 400, 180]}, {\"cell\": \"0.484\", \"bbox\": [458, 170, 477, 180]}, {\"cell\": \"R2 (% variability explained)\", \"bbox\": [1, 183, 87, 194]}, {\"cell\": \"32.3\", \"bbox\": [140, 184, 155, 194]}, {\"cell\": \"39.1\", \"bbox\": [336, 184, 351, 194]}, {\"cell\": \"Improved R2\", \"bbox\": [1, 197, 42, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"6.8\", \"bbox\": [336, 198, 347, 208]}, {\"cell\": \"<0.001*\", \"bbox\": [458, 198, 484, 206]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5237153_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Patient 1Patient 2Patient 3Patient 4Patient 5
Number of NGS runs11[EMPTY_CELL]22
454 experimentStandard 1/3 runStandard 1/3 run[EMPTY_CELL]Standard 1/5 Titanium 1/12Standard 1/5 Titanium 1/12
Mapped reads12798096538[EMPTY_CELL]24940* (Std) 24192* (Tit)16767* (Std) 40169* (Tit)
Total average coverage221168[EMPTY_CELL]73*88*
% sequenced amplicons with coverage > 3894.493.2[EMPTY_CELL]80.385.3
% sequenced amplicons with coverage > 3095.394.6[EMPTY_CELL]86.891.5
% sequenced amplicons with coverage > 597.297.2[EMPTY_CELL]94.696.3
MutationsNew mutation found in CDH23New mutation found in CDH23[EMPTY_CELL]New mutation found in OTOFKnown mutation in TMC1 confirmed
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Patient 1\", \"bbox\": [94, 4, 128, 13]}, {\"cell\": \"Patient 2\", \"bbox\": [159, 4, 192, 13]}, {\"cell\": \"Patient 3\", \"bbox\": [223, 4, 256, 13]}, {\"cell\": \"Patient 4\", \"bbox\": [296, 4, 329, 13]}, {\"cell\": \"Patient 5\", \"bbox\": [394, 4, 427, 13]}, {\"cell\": \"Number of NGS runs\", \"bbox\": [1, 17, 75, 26]}, {\"cell\": \"1\", \"bbox\": [94, 17, 100, 27]}, {\"cell\": \"1\", \"bbox\": [159, 17, 165, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [223, 17, 229, 27]}, {\"cell\": \"2\", \"bbox\": [296, 17, 302, 27]}, {\"cell\": \"2\", \"bbox\": [394, 17, 400, 27]}, {\"cell\": \"454 experiment\", \"bbox\": [1, 31, 57, 40]}, {\"cell\": \"Standard 1/3 run\", \"bbox\": [94, 31, 151, 41]}, {\"cell\": \"Standard 1/3 run\", \"bbox\": [159, 31, 215, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [223, 31, 280, 41]}, {\"cell\": \"Standard 1/5 Titanium 1/12\", \"bbox\": [296, 31, 386, 41]}, {\"cell\": \"Standard 1/5 Titanium 1/12\", \"bbox\": [394, 31, 484, 41]}, {\"cell\": \"Mapped reads\", \"bbox\": [1, 45, 52, 54]}, {\"cell\": \"127980\", \"bbox\": [94, 45, 119, 55]}, {\"cell\": \"96538\", \"bbox\": [159, 45, 180, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [223, 45, 248, 55]}, {\"cell\": \"24940* (Std) 24192* (Tit)\", \"bbox\": [296, 45, 376, 55]}, {\"cell\": \"16767* (Std) 40169* (Tit)\", \"bbox\": [394, 45, 474, 55]}, {\"cell\": \"Total average coverage\", \"bbox\": [1, 59, 84, 68]}, {\"cell\": \"221\", \"bbox\": [94, 59, 108, 69]}, {\"cell\": \"168\", \"bbox\": [159, 59, 172, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [223, 59, 237, 69]}, {\"cell\": \"73*\", \"bbox\": [296, 59, 309, 69]}, {\"cell\": \"88*\", \"bbox\": [394, 59, 407, 69]}, {\"cell\": \"% sequenced amplicons with coverage > 38\", \"bbox\": [1, 73, 86, 91]}, {\"cell\": \"94.4\", \"bbox\": [94, 73, 109, 83]}, {\"cell\": \"93.2\", \"bbox\": [159, 73, 174, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [223, 73, 238, 83]}, {\"cell\": \"80.3\", \"bbox\": [296, 73, 311, 83]}, {\"cell\": \"85.3\", \"bbox\": [394, 73, 409, 83]}, {\"cell\": \"% sequenced amplicons with coverage > 30\", \"bbox\": [1, 96, 86, 114]}, {\"cell\": \"95.3\", \"bbox\": [94, 96, 109, 106]}, {\"cell\": \"94.6\", \"bbox\": [159, 96, 174, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [223, 96, 238, 106]}, {\"cell\": \"86.8\", \"bbox\": [296, 96, 311, 106]}, {\"cell\": \"91.5\", \"bbox\": [394, 96, 409, 106]}, {\"cell\": \"% sequenced amplicons with coverage > 5\", \"bbox\": [1, 119, 86, 137]}, {\"cell\": \"97.2\", \"bbox\": [94, 119, 109, 129]}, {\"cell\": \"97.2\", \"bbox\": [159, 119, 174, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [223, 119, 238, 129]}, {\"cell\": \"94.6\", \"bbox\": [296, 119, 311, 129]}, {\"cell\": \"96.3\", \"bbox\": [394, 119, 409, 129]}, {\"cell\": \"Mutations\", \"bbox\": [1, 142, 37, 151]}, {\"cell\": \"New mutation found in CDH23\", \"bbox\": [94, 142, 148, 161]}, {\"cell\": \"New mutation found in CDH23\", \"bbox\": [159, 142, 212, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [223, 142, 288, 161]}, {\"cell\": \"New mutation found in OTOF\", \"bbox\": [296, 142, 366, 161]}, {\"cell\": \"Known mutation in TMC1 confirmed\", \"bbox\": [394, 142, 459, 161]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3443074_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Reliability: indicator of the tool's consistencyValidity: determines whether the tool measures what it was designed to measure
Internal consistency: measures the average correlation between all items on a toolIntrarater reliability: an indicator of the tests' stability overtime when it is administered by the same raterInterrater reliability: indicates the consistency of a tool when it is administered by different raters[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Reliability: indicator of the tool's consistency\", \"bbox\": [4, 4, 162, 14]}, {\"cell\": \"Validity: determines whether the tool measures what it was designed to measure\", \"bbox\": [254, 4, 492, 23]}, {\"cell\": \" Internal consistency: measures the average correlation between all items on a toolIntrarater reliability: an indicator of the tests' stability overtime when it is administered by the same raterInterrater reliability: indicates the consistency of a tool when it is administered by different raters\", \"bbox\": [14, 36, 246, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [254, 36, 496, 147]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2795323_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
GroupsUrine Volume (mL/24 h/Rat): Days after Initial Treatment
284983
Controls[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Sham2.33 ± 0.81[EMPTY_CELL]3.65 ± 1.00
OVX2.36 ± 0.75[EMPTY_CELL]4.09 ± 0.77
RC 40 mg/kg2.50 ± 0.90[EMPTY_CELL]5.59 ± 0.77
PCP 20 mg/kg2.33 ± 0.71[EMPTY_CELL]5.49 ± 0.81
RC:PCP 2:1 mixture (g/g)[EMPTY_CELL][EMPTY_CELL]
30 mg/kg2.58 ± 1.08[EMPTY_CELL]6.28 ± 1.41 ad
60 mg/kg3.90 ± 1.02 bdfh[EMPTY_CELL]8.80 ± 1.69 aceg
120 mg/kg4.28 ± 0.93 aceg[EMPTY_CELL]10.75 ± 1.88 aceg
\", \"cells\": [{\"cell\": \"Groups\", \"bbox\": [26, 11, 64, 26]}, {\"cell\": \"Urine Volume (mL/24 h/Rat): Days after Initial Treatment\", \"bbox\": [105, 3, 382, 18]}, {\"cell\": \"28\", \"bbox\": [133, 19, 146, 33]}, {\"cell\": \"49\", \"bbox\": [237, 19, 250, 33]}, {\"cell\": \"83\", \"bbox\": [341, 19, 354, 33]}, {\"cell\": \"Controls\", \"bbox\": [25, 35, 65, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Sham\", \"bbox\": [32, 50, 59, 64]}, {\"cell\": \"2.33 ± 0.81\", \"bbox\": [113, 49, 166, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [217, 49, 270, 65]}, {\"cell\": \"3.65 ± 1.00\", \"bbox\": [322, 50, 374, 64]}, {\"cell\": \"OVX\", \"bbox\": [32, 65, 58, 79]}, {\"cell\": \"2.36 ± 0.75\", \"bbox\": [114, 65, 166, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 65, 270, 79]}, {\"cell\": \"4.09 ± 0.77\", \"bbox\": [322, 65, 374, 79]}, {\"cell\": \"RC 40 mg/kg\", \"bbox\": [14, 80, 76, 94]}, {\"cell\": \"2.50 ± 0.90\", \"bbox\": [114, 80, 166, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 79, 274, 94]}, {\"cell\": \"5.59 ± 0.77\", \"bbox\": [322, 80, 374, 94]}, {\"cell\": \"PCP 20 mg/kg\", \"bbox\": [12, 95, 78, 109]}, {\"cell\": \"2.33 ± 0.71\", \"bbox\": [114, 95, 166, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 95, 270, 109]}, {\"cell\": \"5.49 ± 0.81\", \"bbox\": [322, 95, 374, 109]}, {\"cell\": \"RC:PCP 2:1 mixture (g/g)\", \"bbox\": [7, 111, 124, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"30 mg/kg\", \"bbox\": [23, 126, 67, 140]}, {\"cell\": \"2.58 ± 1.08\", \"bbox\": [114, 126, 166, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 125, 274, 140]}, {\"cell\": \"6.28 ± 1.41 ad\", \"bbox\": [317, 125, 378, 140]}, {\"cell\": \"60 mg/kg\", \"bbox\": [23, 141, 67, 155]}, {\"cell\": \"3.90 ± 1.02 bdfh\", \"bbox\": [106, 140, 174, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 140, 276, 155]}, {\"cell\": \"8.80 ± 1.69 aceg\", \"bbox\": [314, 140, 381, 155]}, {\"cell\": \"120 mg/kg\", \"bbox\": [20, 156, 70, 170]}, {\"cell\": \"4.28 ± 0.93 aceg\", \"bbox\": [106, 155, 174, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 155, 278, 170]}, {\"cell\": \"10.75 ± 1.88 aceg\", \"bbox\": [311, 155, 384, 170]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4425164_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
PopulationDisabilityInterventionStudy type/outcome measures (economic evidence searches only)
Child*Disab*[EMPTY_CELL]Cost benefit
Adolescen*Physically impair*[EMPTY_CELL]Cost utility
Young*Physical impair*[EMPTY_CELL]Cost effective*
Teen*Handicap*[EMPTY_CELL]Qaly
Disab* child*Dystroph*[EMPTY_CELL]Quality-adjusted life year
Disab*Cerebral palsy[EMPTY_CELL]Quality adjusted life year
Adolescen*Spina bifida[EMPTY_CELL]Health economic*
Disab* young*Wheelchair*[EMPTY_CELL]Economic analys*
Disab* teen*Special needs[EMPTY_CELL]Cost minimisation
[EMPTY_CELL]Amputee[EMPTY_CELL]Health care cost*
[EMPTY_CELL]Complex needs[EMPTY_CELL]Healthcare cost*
[EMPTY_CELL]Brain injury[EMPTY_CELL]Social economic*
[EMPTY_CELL]Brain damage*[EMPTY_CELL]Social care economic*
\", \"cells\": [{\"cell\": \"Population\", \"bbox\": [1, 4, 40, 13]}, {\"cell\": \"Disability\", \"bbox\": [112, 4, 146, 13]}, {\"cell\": \"Intervention\", \"bbox\": [232, 4, 276, 13]}, {\"cell\": \"Study type/outcome measures (economic evidence searches only)\", \"bbox\": [362, 4, 484, 22]}, {\"cell\": \"Child*\", \"bbox\": [1, 26, 22, 36]}, {\"cell\": \"Disab*\", \"bbox\": [112, 26, 134, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 26, 269, 36]}, {\"cell\": \"Cost benefit\", \"bbox\": [362, 26, 403, 36]}, {\"cell\": \"Adolescen*\", \"bbox\": [1, 40, 39, 50]}, {\"cell\": \"Physically impair*\", \"bbox\": [112, 40, 169, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 40, 254, 50]}, {\"cell\": \"Cost utility\", \"bbox\": [362, 40, 398, 50]}, {\"cell\": \"Young*\", \"bbox\": [1, 54, 27, 64]}, {\"cell\": \"Physical impair*\", \"bbox\": [112, 54, 164, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 54, 298, 64]}, {\"cell\": \"Cost effective*\", \"bbox\": [362, 54, 410, 64]}, {\"cell\": \"Teen*\", \"bbox\": [1, 68, 21, 78]}, {\"cell\": \"Handicap*\", \"bbox\": [112, 68, 147, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 68, 271, 78]}, {\"cell\": \"Qaly\", \"bbox\": [362, 68, 378, 78]}, {\"cell\": \"Disab* child*\", \"bbox\": [1, 82, 44, 92]}, {\"cell\": \"Dystroph*\", \"bbox\": [112, 82, 146, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 82, 299, 92]}, {\"cell\": \"Quality-adjusted life year\", \"bbox\": [362, 82, 443, 92]}, {\"cell\": \"Disab*\", \"bbox\": [1, 96, 23, 106]}, {\"cell\": \"Cerebral palsy\", \"bbox\": [112, 96, 158, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 96, 297, 106]}, {\"cell\": \"Quality adjusted life year\", \"bbox\": [362, 96, 443, 106]}, {\"cell\": \"Adolescen*\", \"bbox\": [1, 110, 39, 120]}, {\"cell\": \"Spina bifida\", \"bbox\": [112, 110, 151, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 110, 266, 120]}, {\"cell\": \"Health economic*\", \"bbox\": [362, 110, 422, 120]}, {\"cell\": \"Disab* young*\", \"bbox\": [1, 124, 49, 134]}, {\"cell\": \"Wheelchair*\", \"bbox\": [112, 124, 152, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 124, 286, 134]}, {\"cell\": \"Economic analys*\", \"bbox\": [362, 124, 420, 134]}, {\"cell\": \"Disab* teen*\", \"bbox\": [1, 138, 43, 148]}, {\"cell\": \"Special needs\", \"bbox\": [112, 138, 157, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 138, 293, 148]}, {\"cell\": \"Cost minimisation\", \"bbox\": [362, 138, 421, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Amputee\", \"bbox\": [112, 152, 143, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 152, 282, 162]}, {\"cell\": \"Health care cost*\", \"bbox\": [362, 152, 419, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Complex needs\", \"bbox\": [112, 166, 164, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 166, 265, 176]}, {\"cell\": \"Healthcare cost*\", \"bbox\": [362, 166, 416, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Brain injury\", \"bbox\": [112, 180, 149, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 180, 260, 190]}, {\"cell\": \"Social economic*\", \"bbox\": [362, 180, 419, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Brain damage*\", \"bbox\": [112, 194, 161, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Social care economic*\", \"bbox\": [362, 194, 435, 204]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4110242_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariablesAdjusted ratio of expected GM of BLL (95 % CI)p value
Total sample
Combined Akhtala and Alaverdi compared to Yerevan[EMPTY_CELL]0.001*
Caregiver’s lower education compared to higher[EMPTY_CELL]0.004*
Dusting furniture less often than daily compared to daily[EMPTY_CELL]0.075**
Closer housing distance from toxic source(s) compared to farther[EMPTY_CELL]0.002*
Akhtala and Alaverdi combined
Caregiver’s lower education compared to higher[EMPTY_CELL]0.035*
Dusting furniture less often than daily compared to daily[EMPTY_CELL]0.024*
Yerevan
Caregiver’s lower education compared to higher[EMPTY_CELL]0.030*
For housing located farther from toxic source(s)***
Old windows compared to new ones[EMPTY_CELL]0.000*
For housing located closer to the toxic source(s)
Old windows compared to new ones[EMPTY_CELL]0.628
\", \"cells\": [{\"cell\": \"Variables\", \"bbox\": [1, 4, 30, 13]}, {\"cell\": \"Adjusted ratio of expected GM of BLL (95 % CI)\", \"bbox\": [262, 4, 416, 13]}, {\"cell\": \"p value\", \"bbox\": [459, 4, 484, 13]}, {\"cell\": \"Total sample\", \"bbox\": [1, 17, 43, 27]}, {\"cell\": \" Combined Akhtala and Alaverdi compared to Yerevan\", \"bbox\": [8, 31, 184, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [262, 31, 313, 41]}, {\"cell\": \"0.001*\", \"bbox\": [459, 31, 481, 41]}, {\"cell\": \" Caregiver’s lower education compared to higher\", \"bbox\": [8, 45, 166, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [262, 45, 313, 55]}, {\"cell\": \"0.004*\", \"bbox\": [459, 45, 481, 55]}, {\"cell\": \" Dusting furniture less often than daily compared to daily\", \"bbox\": [9, 59, 193, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [262, 59, 313, 69]}, {\"cell\": \"0.075**\", \"bbox\": [459, 59, 484, 69]}, {\"cell\": \" Closer housing distance from toxic source(s) compared to farther\", \"bbox\": [9, 73, 220, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [262, 73, 311, 83]}, {\"cell\": \"0.002*\", \"bbox\": [459, 73, 481, 83]}, {\"cell\": \"Akhtala and Alaverdi combined\", \"bbox\": [1, 87, 103, 97]}, {\"cell\": \" Caregiver’s lower education compared to higher\", \"bbox\": [9, 101, 166, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [262, 101, 313, 111]}, {\"cell\": \"0.035*\", \"bbox\": [459, 101, 481, 111]}, {\"cell\": \" Dusting furniture less often than daily compared to daily\", \"bbox\": [9, 115, 193, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [262, 115, 313, 125]}, {\"cell\": \"0.024*\", \"bbox\": [459, 115, 481, 125]}, {\"cell\": \"Yerevan\", \"bbox\": [1, 129, 28, 139]}, {\"cell\": \" Caregiver’s lower education compared to higher\", \"bbox\": [9, 143, 166, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [262, 143, 313, 153]}, {\"cell\": \"0.030*\", \"bbox\": [459, 143, 481, 153]}, {\"cell\": \"For housing located farther from toxic source(s)***\", \"bbox\": [1, 157, 165, 167]}, {\"cell\": \" Old windows compared to new ones\", \"bbox\": [9, 171, 131, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [262, 171, 313, 181]}, {\"cell\": \"0.000*\", \"bbox\": [459, 171, 481, 181]}, {\"cell\": \"For housing located closer to the toxic source(s)\", \"bbox\": [1, 185, 158, 195]}, {\"cell\": \" Old windows compared to new ones\", \"bbox\": [9, 199, 131, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [262, 199, 313, 209]}, {\"cell\": \"0.628\", \"bbox\": [459, 199, 478, 209]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5015252_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Property {Area of Structure (sq m)}, Study Dates 1IGMs 2Cumulative Pre-Treatment Termite Activity 3 {Estimated Foraging Area (sq m)}Treatment Date, Volume (L)Post-Treatment Termite Activity 4 {Estimated Foraging Area (sq m) at Final Inspection}
TX-1 5 {109}, 6-VIII-12 – 7-V-14#1–#27 + #28–#40[EMPTY_CELL]15-X-12, 307Infesting Colony {0}No evidence in structure; IGMs #117MAT, #3217,18MAT, #399MATLandscape Colonies in IGMsColony A {2}: #17,8,18,19MAT;Colony B {0}: #317,8MAT;Colony C {0}: #329MAT;Colony D {2}: #2017MAT
TX-2 {146}, 6-VIII-12 – 4-XII-14#1–#27 + #28–#36[EMPTY_CELL]9-XI-12, 265 6Infesting Colony {0}In window 7 @ 5 MAT; None in IGMs
TX-3 {278}, 10-VIII-12 – 4-XII-14#1–#25 + #26–#44[EMPTY_CELL]21-IX-12, 337Infesting Colony {0}No evidence in structure; None in IGMsLandscape Colonies in IGMs {0}None detected
TX-4 {278}, 3-XII-12 – 30-VII-15#1–#26 + #27–#44[EMPTY_CELL]12-XI-13, 326Infesting Colony {0}No evidence in structure; None in IGMs
\", \"cells\": [{\"cell\": \"Property {Area of Structure (sq m)}, Study Dates 1\", \"bbox\": [10, 4, 69, 30]}, {\"cell\": \"IGMs 2\", \"bbox\": [85, 11, 110, 22]}, {\"cell\": \"Cumulative Pre-Treatment Termite Activity 3 {Estimated Foraging Area (sq m)}\", \"bbox\": [123, 4, 240, 30]}, {\"cell\": \"Treatment Date, Volume (L)\", \"bbox\": [254, 8, 307, 26]}, {\"cell\": \"Post-Treatment Termite Activity 4 {Estimated Foraging Area (sq m) at Final Inspection}\", \"bbox\": [321, 3, 435, 30]}, {\"cell\": \"TX-1 5 {109}, 6-VIII-12 – 7-V-14\", \"bbox\": [11, 59, 68, 78]}, {\"cell\": \"#1–#27 + #28–#40\", \"bbox\": [84, 56, 111, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 47, 234, 91]}, {\"cell\": \"15-X-12, 307\", \"bbox\": [267, 60, 294, 78]}, {\"cell\": \"Infesting Colony {0}No evidence in structure; IGMs #117MAT, #3217,18MAT, #399MATLandscape Colonies in IGMsColony A {2}: #17,8,18,19MAT;Colony B {0}: #317,8MAT;Colony C {0}: #329MAT;Colony D {2}: #2017MAT\", \"bbox\": [328, 34, 429, 105]}, {\"cell\": \"TX-2 {146}, 6-VIII-12 – 4-XII-14\", \"bbox\": [9, 112, 70, 130]}, {\"cell\": \"#1–#27 + #28–#36\", \"bbox\": [84, 108, 111, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [122, 112, 242, 130]}, {\"cell\": \"9-XI-12, 265 6\", \"bbox\": [267, 112, 294, 130]}, {\"cell\": \"Infesting Colony {0}In window 7 @ 5 MAT; None in IGMs\", \"bbox\": [342, 107, 415, 135]}, {\"cell\": \"TX-3 {278}, 10-VIII-12 – 4-XII-14\", \"bbox\": [7, 156, 72, 174]}, {\"cell\": \"#1–#25 + #26–#44\", \"bbox\": [84, 152, 111, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [122, 139, 241, 191]}, {\"cell\": \"21-IX-12, 337\", \"bbox\": [266, 156, 295, 174]}, {\"cell\": \"Infesting Colony {0}No evidence in structure; None in IGMsLandscape Colonies in IGMs {0}None detected\", \"bbox\": [327, 143, 430, 187]}, {\"cell\": \"TX-4 {278}, 3-XII-12 – 30-VII-15\", \"bbox\": [8, 199, 71, 217]}, {\"cell\": \"#1–#26 + #27–#44\", \"bbox\": [84, 194, 111, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [122, 199, 242, 217]}, {\"cell\": \"12-XI-13, 326\", \"bbox\": [266, 199, 295, 217]}, {\"cell\": \"Infesting Colony {0}No evidence in structure; None in IGMs\", \"bbox\": [338, 194, 419, 221]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5620712_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL][EMPTY_CELL]No. of patientsP value
ADR group (n=50)Control group (n=270)
Age, yearsMedian54.554[EMPTY_CELL]
[EMPTY_CELL]Range35-8027-80[EMPTY_CELL]
CancerOvary27 (54%)166 (61%)[EMPTY_CELL]
[EMPTY_CELL]Uterus17 (34%)80 (30%)[EMPTY_CELL]
[EMPTY_CELL]Cervix2 (4%)8 (3%)[EMPTY_CELL]
[EMPTY_CELL]Ovary+uterus4 (8%)13 (5%)[EMPTY_CELL]
[EMPTY_CELL]Ovary+cervix0 (0%)3 (1%)[EMPTY_CELL]
StageI18 (36%)97 (36%)[EMPTY_CELL]
[EMPTY_CELL]II6 (12%)19 (7%)[EMPTY_CELL]
[EMPTY_CELL]III21 (42%)114 (42%)[EMPTY_CELL]
[EMPTY_CELL]IV5 (10%)40 (15%)[EMPTY_CELL]
RegimenDose-dense12 (24%)55 (20%)[EMPTY_CELL]
[EMPTY_CELL]Tri-weekly38 (76%)215 (80%)[EMPTY_CELL]
Total number of cycles10 (0%)5 (2%)[EMPTY_CELL]
[EMPTY_CELL]20 (0%)10 (4%)[EMPTY_CELL]
[EMPTY_CELL]33 (6%)9 (3%)[EMPTY_CELL]
[EMPTY_CELL]43 (6%)7 (3%)[EMPTY_CELL]
[EMPTY_CELL]56 (12%)12 (4%)[EMPTY_CELL]
[EMPTY_CELL]635 (70%)204 (76%)[EMPTY_CELL]
[EMPTY_CELL]70 (0%)2 (1%)[EMPTY_CELL]
[EMPTY_CELL]82 (4%)13 (5%)[EMPTY_CELL]
[EMPTY_CELL]91 (2%)8 (3%)[EMPTY_CELL]
[EMPTY_CELL]Median66[EMPTY_CELL]
Treatment1st-line45 (90%)253 (94%)[EMPTY_CELL]
[EMPTY_CELL]Recurrent5 (10%)17 (6%)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No. of patients\", \"bbox\": [268, 6, 332, 16]}, {\"cell\": \"P value\", \"bbox\": [432, 6, 465, 16]}, {\"cell\": \"ADR group (n=50)\", \"bbox\": [224, 22, 276, 45]}, {\"cell\": \"Control group (n=270)\", \"bbox\": [318, 22, 381, 45]}, {\"cell\": \"Age, years\", \"bbox\": [4, 52, 48, 63]}, {\"cell\": \"Median\", \"bbox\": [103, 52, 135, 63]}, {\"cell\": \"54.5\", \"bbox\": [240, 52, 260, 63]}, {\"cell\": \"54\", \"bbox\": [343, 52, 355, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [437, 52, 461, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Range\", \"bbox\": [103, 69, 130, 80]}, {\"cell\": \"35-80\", \"bbox\": [237, 69, 263, 80]}, {\"cell\": \"27-80\", \"bbox\": [337, 69, 362, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Cancer\", \"bbox\": [4, 86, 34, 97]}, {\"cell\": \"Ovary\", \"bbox\": [103, 86, 130, 97]}, {\"cell\": \"27 (54%)\", \"bbox\": [230, 86, 270, 97]}, {\"cell\": \"166 (61%)\", \"bbox\": [327, 86, 372, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Uterus\", \"bbox\": [103, 103, 132, 114]}, {\"cell\": \"17 (34%)\", \"bbox\": [230, 103, 270, 114]}, {\"cell\": \"80 (30%)\", \"bbox\": [330, 103, 369, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Cervix\", \"bbox\": [103, 120, 132, 131]}, {\"cell\": \"2 (4%)\", \"bbox\": [235, 120, 265, 131]}, {\"cell\": \"8 (3%)\", \"bbox\": [335, 120, 364, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ovary+uterus\", \"bbox\": [103, 136, 160, 148]}, {\"cell\": \"4 (8%)\", \"bbox\": [235, 136, 265, 148]}, {\"cell\": \"13 (5%)\", \"bbox\": [332, 136, 367, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ovary+cervix\", \"bbox\": [103, 153, 161, 164]}, {\"cell\": \"0 (0%)\", \"bbox\": [235, 153, 265, 164]}, {\"cell\": \"3 (1%)\", \"bbox\": [335, 153, 364, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Stage\", \"bbox\": [4, 170, 28, 181]}, {\"cell\": \"I\", \"bbox\": [103, 170, 108, 181]}, {\"cell\": \"18 (36%)\", \"bbox\": [230, 170, 270, 181]}, {\"cell\": \"97 (36%)\", \"bbox\": [330, 170, 369, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [439, 170, 459, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"II\", \"bbox\": [103, 187, 112, 198]}, {\"cell\": \"6 (12%)\", \"bbox\": [233, 187, 267, 198]}, {\"cell\": \"19 (7%)\", \"bbox\": [332, 187, 367, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [417, 187, 481, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"III\", \"bbox\": [103, 204, 115, 215]}, {\"cell\": \"21 (42%)\", \"bbox\": [230, 204, 270, 215]}, {\"cell\": \"114 (42%)\", \"bbox\": [327, 204, 371, 215]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"IV\", \"bbox\": [103, 221, 115, 232]}, {\"cell\": \"5 (10%)\", \"bbox\": [233, 221, 267, 232]}, {\"cell\": \"40 (15%)\", \"bbox\": [330, 221, 369, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Regimen\", \"bbox\": [4, 238, 42, 249]}, {\"cell\": \"Dose-dense\", \"bbox\": [103, 238, 152, 249]}, {\"cell\": \"12 (24%)\", \"bbox\": [230, 238, 270, 249]}, {\"cell\": \"55 (20%)\", \"bbox\": [330, 238, 369, 249]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [439, 238, 459, 249]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Tri-weekly\", \"bbox\": [103, 255, 149, 266]}, {\"cell\": \"38 (76%)\", \"bbox\": [230, 255, 270, 266]}, {\"cell\": \"215 (80%)\", \"bbox\": [327, 255, 372, 266]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Total number of cycles\", \"bbox\": [4, 272, 97, 283]}, {\"cell\": \"1\", \"bbox\": [103, 272, 110, 283]}, {\"cell\": \"0 (0%)\", \"bbox\": [235, 272, 265, 283]}, {\"cell\": \"5 (2%)\", \"bbox\": [335, 272, 364, 283]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [439, 272, 459, 283]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2\", \"bbox\": [103, 289, 110, 300]}, {\"cell\": \"0 (0%)\", \"bbox\": [235, 289, 265, 300]}, {\"cell\": \"10 (4%)\", \"bbox\": [332, 289, 367, 300]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3\", \"bbox\": [103, 306, 110, 317]}, {\"cell\": \"3 (6%)\", \"bbox\": [235, 306, 265, 317]}, {\"cell\": \"9 (3%)\", \"bbox\": [335, 306, 364, 317]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"4\", \"bbox\": [103, 323, 110, 334]}, {\"cell\": \"3 (6%)\", \"bbox\": [235, 323, 265, 334]}, {\"cell\": \"7 (3%)\", \"bbox\": [335, 323, 364, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"5\", \"bbox\": [103, 340, 110, 351]}, {\"cell\": \"6 (12%)\", \"bbox\": [233, 340, 267, 351]}, {\"cell\": \"12 (4%)\", \"bbox\": [332, 340, 367, 351]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"6\", \"bbox\": [103, 357, 110, 368]}, {\"cell\": \"35 (70%)\", \"bbox\": [230, 357, 270, 368]}, {\"cell\": \"204 (76%)\", \"bbox\": [327, 357, 372, 368]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"7\", \"bbox\": [103, 374, 110, 385]}, {\"cell\": \"0 (0%)\", \"bbox\": [235, 374, 265, 385]}, {\"cell\": \"2 (1%)\", \"bbox\": [335, 374, 364, 385]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"8\", \"bbox\": [103, 390, 110, 402]}, {\"cell\": \"2 (4%)\", \"bbox\": [235, 390, 265, 402]}, {\"cell\": \"13 (5%)\", \"bbox\": [332, 390, 367, 402]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"9\", \"bbox\": [103, 407, 110, 418]}, {\"cell\": \"1 (2%)\", \"bbox\": [235, 407, 265, 418]}, {\"cell\": \"8 (3%)\", \"bbox\": [335, 407, 364, 418]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Median\", \"bbox\": [103, 424, 135, 435]}, {\"cell\": \"6\", \"bbox\": [247, 424, 254, 435]}, {\"cell\": \"6\", \"bbox\": [346, 424, 353, 435]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Treatment\", \"bbox\": [4, 441, 46, 452]}, {\"cell\": \"1st-line\", \"bbox\": [103, 441, 135, 452]}, {\"cell\": \"45 (90%)\", \"bbox\": [230, 441, 270, 452]}, {\"cell\": \"253 (94%)\", \"bbox\": [327, 441, 372, 452]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Recurrent\", \"bbox\": [103, 458, 144, 469]}, {\"cell\": \"5 (10%)\", \"bbox\": [233, 458, 267, 469]}, {\"cell\": \"17 (6%)\", \"bbox\": [332, 458, 367, 469]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC6049855_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Sub groupsNDHS 1996NDHS 2001NDHS 2006NDHS 2011
[EMPTY_CELL]HR (95% CIs)p-valueHR (95% CIs)p-valueHR (95% CIs)p-valueHR (95% CIs)p-value
Child's sex
Male1[EMPTY_CELL]1[EMPTY_CELL]1[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Female1.03 (1.00,1.07)0.0131.05 (1.02,1.08)<0.0011.00 (1.03, 1.05)0.048[EMPTY_CELL]0.041
Mother’s education
Higher1[EMPTY_CELL]1[EMPTY_CELL]1[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Secondary1.44 (1.10, 1.89)<0.0011.18 (1.08, 1.29)<0.0011.26 (1.12, 1.78)<0.001[EMPTY_CELL]<0.001
Primary1.81 (1.37, 2.39)<0.0011.70 (1.22, 2.38)<0.0011.74 (1.27, 2.39)<0.001[EMPTY_CELL]<0.001
No education2.55 (1.95, 3.33)<0.0012.35 (1.67, 3.32)<0.0012.99(2.12, 4.21)<0.001[EMPTY_CELL]<0.001
Wealth index
Highest1[EMPTY_CELL]1[EMPTY_CELL]1[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Fourth 1.14 (1.06, 1.27)<0.0011.33 (1.22, 1.44)<0.0011.23 (1.12, 1.36)<0.001[EMPTY_CELL]<0.001
Middle1.10 (1.01, 1.20)<0.0011.41 (1.29, 1.54)<0.0011.37 (1.21, 1.55)<0.001[EMPTY_CELL]<0.001
Second1.18 (1.09, 1.28)<0.0011.39 (1.27, 1.51)<0.0011.49 (1.32, 1.69)<0.001[EMPTY_CELL]<0.001
Lowest1.37 (1.27, 1.49)<0.0011.42 (1.30, 1.56)<0.0011.75 (1.54, 1.98)<0.001[EMPTY_CELL]<0.001
Urban/rural residence
Urban 1[EMPTY_CELL]1[EMPTY_CELL]1[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Rural1.17 (1.05, 1.23)<0.0011.18 (1.08, 1.29)<0.0011.06 (1.05, 1.17)0.034[EMPTY_CELL]<0.001
Development region
Eastern1[EMPTY_CELL]1[EMPTY_CELL]1[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Central1.04 (0.95, 1.13)0.3330.96 (0.87, 1.05)0.0520.97 (0.90, 1.05)0.052[EMPTY_CELL]0.709
Western0.98 (0.91, 1.08)0.3930.97 (0.89, 1.06)0.0800.93 (0.86, 1.01)0.072[EMPTY_CELL]0.932
Mid-western1.02 (0.94, 1.13)0.4690.92 (0.83, 1.020.0740.98 (0.89, 1.07)0.441[EMPTY_CELL]0.632
Far-western1.05 (0.97, 1.15)0.1661.04 (0.93, 1.17)0.6320.96 (0.87, 1.07)0.134[EMPTY_CELL]0.003
Ecological region
Terai (plains)1[EMPTY_CELL]1[EMPTY_CELL]1[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Hill1.06 (1.00, 1.13)0.0021.12 (1.05, 1.20)<0.0011.01 (0.94, 1.09)0.829[EMPTY_CELL]0.001
Mountain1.13 (1.06, 1.22)<0.0011.09 (1.00, 1.18)<0.0011.12 (1.01, 1.22)0.009[EMPTY_CELL]0.231
\", \"cells\": [{\"cell\": \"Sub groups\", \"bbox\": [0, 15, 39, 27]}, {\"cell\": \"NDHS 1996\", \"bbox\": [62, 14, 98, 26]}, {\"cell\": \"NDHS 2001\", \"bbox\": [172, 14, 208, 26]}, {\"cell\": \"NDHS 2006\", \"bbox\": [282, 14, 318, 26]}, {\"cell\": \"NDHS 2011\", \"bbox\": [392, 14, 428, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"HR (95% CIs)\", \"bbox\": [62, 26, 104, 38]}, {\"cell\": \"p-value\", \"bbox\": [136, 26, 160, 38]}, {\"cell\": \"HR (95% CIs)\", \"bbox\": [172, 26, 214, 38]}, {\"cell\": \"p-value\", \"bbox\": [246, 26, 271, 38]}, {\"cell\": \"HR (95% CIs)\", \"bbox\": [282, 26, 324, 38]}, {\"cell\": \"p-value\", \"bbox\": [356, 26, 381, 38]}, {\"cell\": \"HR (95% CIs)\", \"bbox\": [392, 26, 434, 38]}, {\"cell\": \"p-value\", \"bbox\": [466, 26, 491, 38]}, {\"cell\": \"Child's sex\", \"bbox\": [1, 38, 37, 49]}, {\"cell\": \"Male\", \"bbox\": [1, 49, 17, 60]}, {\"cell\": \"1\", \"bbox\": [62, 49, 67, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [172, 49, 177, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [282, 49, 287, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 49, 397, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Female\", \"bbox\": [1, 60, 24, 71]}, {\"cell\": \"1.03 (1.00,1.07)\", \"bbox\": [62, 60, 110, 71]}, {\"cell\": \"0.013\", \"bbox\": [136, 60, 154, 71]}, {\"cell\": \"1.05 (1.02,1.08)\", \"bbox\": [172, 60, 220, 71]}, {\"cell\": \"<0.001\", \"bbox\": [246, 60, 268, 71]}, {\"cell\": \"1.00 (1.03, 1.05)\", \"bbox\": [282, 60, 331, 71]}, {\"cell\": \"0.048\", \"bbox\": [356, 60, 374, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 60, 441, 71]}, {\"cell\": \"0.041\", \"bbox\": [466, 60, 484, 71]}, {\"cell\": \"Mother’s education\", \"bbox\": [1, 71, 62, 82]}, {\"cell\": \"Higher\", \"bbox\": [1, 82, 22, 93]}, {\"cell\": \"1\", \"bbox\": [62, 82, 67, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [172, 82, 177, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [282, 82, 287, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 82, 397, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Secondary\", \"bbox\": [1, 93, 34, 104]}, {\"cell\": \"1.44 (1.10, 1.89)\", \"bbox\": [62, 93, 111, 104]}, {\"cell\": \"<0.001\", \"bbox\": [136, 93, 158, 104]}, {\"cell\": \"1.18 (1.08, 1.29)\", \"bbox\": [172, 93, 221, 104]}, {\"cell\": \"<0.001\", \"bbox\": [246, 93, 268, 104]}, {\"cell\": \"1.26 (1.12, 1.78)\", \"bbox\": [282, 93, 331, 104]}, {\"cell\": \"<0.001\", \"bbox\": [356, 93, 378, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 93, 441, 104]}, {\"cell\": \"<0.001\", \"bbox\": [466, 93, 488, 104]}, {\"cell\": \"Primary\", \"bbox\": [1, 104, 25, 115]}, {\"cell\": \"1.81 (1.37, 2.39)\", \"bbox\": [62, 104, 111, 115]}, {\"cell\": \"<0.001\", \"bbox\": [136, 104, 158, 115]}, {\"cell\": \"1.70 (1.22, 2.38)\", \"bbox\": [172, 104, 221, 115]}, {\"cell\": \"<0.001\", \"bbox\": [246, 104, 268, 115]}, {\"cell\": \"1.74 (1.27, 2.39)\", \"bbox\": [282, 104, 331, 115]}, {\"cell\": \"<0.001\", \"bbox\": [356, 104, 378, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 104, 441, 115]}, {\"cell\": \"<0.001\", \"bbox\": [466, 104, 488, 115]}, {\"cell\": \"No education\", \"bbox\": [1, 115, 41, 126]}, {\"cell\": \"2.55 (1.95, 3.33)\", \"bbox\": [62, 115, 111, 126]}, {\"cell\": \"<0.001\", \"bbox\": [136, 115, 158, 126]}, {\"cell\": \"2.35 (1.67, 3.32)\", \"bbox\": [172, 115, 221, 126]}, {\"cell\": \"<0.001\", \"bbox\": [246, 115, 268, 126]}, {\"cell\": \"2.99(2.12, 4.21)\", \"bbox\": [282, 115, 330, 126]}, {\"cell\": \"<0.001\", \"bbox\": [356, 115, 378, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 115, 441, 126]}, {\"cell\": \"<0.001\", \"bbox\": [466, 115, 488, 126]}, {\"cell\": \"Wealth index\", \"bbox\": [1, 126, 43, 137]}, {\"cell\": \"Highest\", \"bbox\": [1, 137, 25, 148]}, {\"cell\": \"1\", \"bbox\": [62, 137, 67, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [172, 137, 177, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [282, 137, 287, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 137, 397, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Fourth \", \"bbox\": [1, 148, 21, 159]}, {\"cell\": \"1.14 (1.06, 1.27)\", \"bbox\": [62, 148, 111, 159]}, {\"cell\": \"<0.001\", \"bbox\": [136, 148, 158, 159]}, {\"cell\": \"1.33 (1.22, 1.44)\", \"bbox\": [172, 148, 221, 159]}, {\"cell\": \"<0.001\", \"bbox\": [246, 148, 268, 159]}, {\"cell\": \"1.23 (1.12, 1.36)\", \"bbox\": [282, 148, 331, 159]}, {\"cell\": \"<0.001\", \"bbox\": [356, 148, 378, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 148, 441, 159]}, {\"cell\": \"<0.001\", \"bbox\": [466, 148, 488, 159]}, {\"cell\": \"Middle\", \"bbox\": [1, 159, 22, 170]}, {\"cell\": \"1.10 (1.01, 1.20)\", \"bbox\": [62, 159, 111, 170]}, {\"cell\": \"<0.001\", \"bbox\": [136, 159, 158, 170]}, {\"cell\": \"1.41 (1.29, 1.54)\", \"bbox\": [172, 159, 221, 170]}, {\"cell\": \"<0.001\", \"bbox\": [246, 159, 268, 170]}, {\"cell\": \"1.37 (1.21, 1.55)\", \"bbox\": [282, 159, 331, 170]}, {\"cell\": \"<0.001\", \"bbox\": [356, 159, 378, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 159, 441, 170]}, {\"cell\": \"<0.001\", \"bbox\": [466, 159, 488, 170]}, {\"cell\": \"Second\", \"bbox\": [1, 170, 25, 181]}, {\"cell\": \"1.18 (1.09, 1.28)\", \"bbox\": [62, 170, 111, 181]}, {\"cell\": \"<0.001\", \"bbox\": [136, 170, 158, 181]}, {\"cell\": \"1.39 (1.27, 1.51)\", \"bbox\": [172, 170, 221, 181]}, {\"cell\": \"<0.001\", \"bbox\": [246, 170, 268, 181]}, {\"cell\": \"1.49 (1.32, 1.69)\", \"bbox\": [282, 170, 331, 181]}, {\"cell\": \"<0.001\", \"bbox\": [356, 170, 378, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 170, 441, 181]}, {\"cell\": \"<0.001\", \"bbox\": [466, 170, 488, 181]}, {\"cell\": \"Lowest\", \"bbox\": [1, 181, 23, 192]}, {\"cell\": \"1.37 (1.27, 1.49)\", \"bbox\": [62, 181, 111, 192]}, {\"cell\": \"<0.001\", \"bbox\": [136, 181, 158, 192]}, {\"cell\": \"1.42 (1.30, 1.56)\", \"bbox\": [172, 181, 221, 192]}, {\"cell\": \"<0.001\", \"bbox\": [246, 181, 268, 192]}, {\"cell\": \"1.75 (1.54, 1.98)\", \"bbox\": [282, 181, 331, 192]}, {\"cell\": \"<0.001\", \"bbox\": [356, 181, 378, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 181, 441, 192]}, {\"cell\": \"<0.001\", \"bbox\": [466, 181, 488, 192]}, {\"cell\": \"Urban/rural residence\", \"bbox\": [1, 192, 70, 203]}, {\"cell\": \"Urban \", \"bbox\": [1, 203, 20, 214]}, {\"cell\": \"1\", \"bbox\": [62, 203, 67, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [172, 203, 177, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [282, 203, 287, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 203, 397, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Rural\", \"bbox\": [1, 214, 18, 225]}, {\"cell\": \"1.17 (1.05, 1.23)\", \"bbox\": [62, 214, 111, 225]}, {\"cell\": \"<0.001\", \"bbox\": [136, 214, 158, 225]}, {\"cell\": \"1.18 (1.08, 1.29)\", \"bbox\": [172, 214, 221, 225]}, {\"cell\": \"<0.001\", \"bbox\": [246, 214, 268, 225]}, {\"cell\": \"1.06 (1.05, 1.17)\", \"bbox\": [282, 214, 331, 225]}, {\"cell\": \"0.034\", \"bbox\": [356, 214, 374, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 214, 441, 225]}, {\"cell\": \"<0.001\", \"bbox\": [466, 214, 488, 225]}, {\"cell\": \"Development region\", \"bbox\": [1, 225, 65, 236]}, {\"cell\": \"Eastern\", \"bbox\": [1, 236, 25, 247]}, {\"cell\": \"1\", \"bbox\": [62, 236, 67, 247]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [172, 236, 177, 247]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [282, 236, 287, 247]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 236, 397, 247]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Central\", \"bbox\": [1, 247, 23, 258]}, {\"cell\": \"1.04 (0.95, 1.13)\", \"bbox\": [62, 247, 111, 258]}, {\"cell\": \"0.333\", \"bbox\": [136, 247, 154, 258]}, {\"cell\": \"0.96 (0.87, 1.05)\", \"bbox\": [172, 247, 221, 258]}, {\"cell\": \"0.052\", \"bbox\": [246, 247, 264, 258]}, {\"cell\": \"0.97 (0.90, 1.05)\", \"bbox\": [282, 247, 331, 258]}, {\"cell\": \"0.052\", \"bbox\": [356, 247, 374, 258]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 247, 441, 258]}, {\"cell\": \"0.709\", \"bbox\": [466, 247, 484, 258]}, {\"cell\": \"Western\", \"bbox\": [1, 258, 27, 269]}, {\"cell\": \"0.98 (0.91, 1.08)\", \"bbox\": [62, 258, 111, 269]}, {\"cell\": \"0.393\", \"bbox\": [136, 258, 154, 269]}, {\"cell\": \"0.97 (0.89, 1.06)\", \"bbox\": [172, 258, 221, 269]}, {\"cell\": \"0.080\", \"bbox\": [246, 258, 264, 269]}, {\"cell\": \"0.93 (0.86, 1.01)\", \"bbox\": [282, 258, 331, 269]}, {\"cell\": \"0.072\", \"bbox\": [356, 258, 374, 269]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 258, 441, 269]}, {\"cell\": \"0.932\", \"bbox\": [466, 258, 484, 269]}, {\"cell\": \"Mid-western\", \"bbox\": [1, 269, 38, 280]}, {\"cell\": \"1.02 (0.94, 1.13)\", \"bbox\": [62, 269, 111, 280]}, {\"cell\": \"0.469\", \"bbox\": [136, 269, 154, 280]}, {\"cell\": \"0.92 (0.83, 1.02\", \"bbox\": [172, 269, 219, 280]}, {\"cell\": \"0.074\", \"bbox\": [246, 269, 264, 280]}, {\"cell\": \"0.98 (0.89, 1.07)\", \"bbox\": [282, 269, 331, 280]}, {\"cell\": \"0.441\", \"bbox\": [356, 269, 374, 280]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 269, 439, 280]}, {\"cell\": \"0.632\", \"bbox\": [466, 269, 484, 280]}, {\"cell\": \"Far-western\", \"bbox\": [1, 280, 37, 291]}, {\"cell\": \"1.05 (0.97, 1.15)\", \"bbox\": [62, 280, 111, 291]}, {\"cell\": \"0.166\", \"bbox\": [136, 280, 154, 291]}, {\"cell\": \"1.04 (0.93, 1.17)\", \"bbox\": [172, 280, 221, 291]}, {\"cell\": \"0.632\", \"bbox\": [246, 280, 264, 291]}, {\"cell\": \"0.96 (0.87, 1.07)\", \"bbox\": [282, 280, 331, 291]}, {\"cell\": \"0.134\", \"bbox\": [356, 280, 374, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 280, 441, 291]}, {\"cell\": \"0.003\", \"bbox\": [466, 280, 484, 291]}, {\"cell\": \"Ecological region\", \"bbox\": [1, 291, 57, 302]}, {\"cell\": \"Terai (plains)\", \"bbox\": [1, 302, 40, 313]}, {\"cell\": \"1\", \"bbox\": [62, 302, 67, 313]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [172, 302, 177, 313]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [282, 302, 287, 313]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 302, 397, 313]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Hill\", \"bbox\": [1, 313, 12, 324]}, {\"cell\": \"1.06 (1.00, 1.13)\", \"bbox\": [62, 313, 111, 324]}, {\"cell\": \"0.002\", \"bbox\": [136, 313, 154, 324]}, {\"cell\": \"1.12 (1.05, 1.20)\", \"bbox\": [172, 313, 221, 324]}, {\"cell\": \"<0.001\", \"bbox\": [246, 313, 268, 324]}, {\"cell\": \"1.01 (0.94, 1.09)\", \"bbox\": [282, 313, 331, 324]}, {\"cell\": \"0.829\", \"bbox\": [356, 313, 374, 324]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 313, 441, 324]}, {\"cell\": \"0.001\", \"bbox\": [466, 313, 484, 324]}, {\"cell\": \"Mountain\", \"bbox\": [1, 324, 29, 335]}, {\"cell\": \"1.13 (1.06, 1.22)\", \"bbox\": [62, 324, 111, 335]}, {\"cell\": \"<0.001\", \"bbox\": [136, 324, 158, 335]}, {\"cell\": \"1.09 (1.00, 1.18)\", \"bbox\": [172, 324, 221, 335]}, {\"cell\": \"<0.001\", \"bbox\": [246, 324, 268, 335]}, {\"cell\": \"1.12 (1.01, 1.22)\", \"bbox\": [282, 324, 331, 335]}, {\"cell\": \"0.009\", \"bbox\": [356, 324, 374, 335]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 324, 441, 335]}, {\"cell\": \"0.231\", \"bbox\": [466, 324, 484, 335]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3817106_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]TTH with insomnia, N = 75TTH without insomnia, N = 495P
Demographics
Age, Mean ± SD (years)44.5 ± 13.742.5 ± 13.7[EMPTY_CELL]
Women, N (%)43 (57.3)259 (52.3)[EMPTY_CELL]
Headache characteristics
Bilateral pain, N (%)45 (60.0)329 (66.5)[EMPTY_CELL]
Non-pulsating quality, N (%)29 (38.7)198 (40.0)[EMPTY_CELL]
Mild-to-moderate severity, N (%)73 (97.3)490 (99.0)[EMPTY_CELL]
Non-aggravation by movement, N(%)58 (77.3)393 (79.4)[EMPTY_CELL]
Associated symptoms
Photophobia, N (%)6 (8.0)40 (8.1)[EMPTY_CELL]
Phonophobia, N (%)31 (41.3)150 (30.3)[EMPTY_CELL]
Headache frequency, Median (IQR)1.0 (0.3–3.0)0.4 (0.2–1.0)[EMPTY_CELL]
VAS score, Median (IQR)5.0 (4.0–7.0)4.0 (3.0–6.0)[EMPTY_CELL]
HIT-6 score, Median (IQR)46.0 (40.0–52.0)42.0 (38.0–46.0)[EMPTY_CELL]
Anxiety, N (%)21 (28.0)33 (6.7)[EMPTY_CELL]
Depression, N (%)16 (21.3)8 (1.6)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TTH with insomnia, N = 75\", \"bbox\": [176, 4, 264, 13]}, {\"cell\": \"TTH without insomnia, N = 495\", \"bbox\": [309, 4, 412, 13]}, {\"cell\": \"P\", \"bbox\": [457, 4, 463, 12]}, {\"cell\": \"Demographics\", \"bbox\": [1, 17, 49, 27]}, {\"cell\": \" Age, Mean ± SD (years)\", \"bbox\": [8, 31, 86, 41]}, {\"cell\": \"44.5 ± 13.7\", \"bbox\": [176, 31, 213, 41]}, {\"cell\": \"42.5 ± 13.7\", \"bbox\": [309, 31, 346, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 31, 475, 41]}, {\"cell\": \" Women, N (%)\", \"bbox\": [8, 45, 57, 55]}, {\"cell\": \"43 (57.3)\", \"bbox\": [176, 45, 205, 55]}, {\"cell\": \"259 (52.3)\", \"bbox\": [309, 45, 342, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 45, 475, 55]}, {\"cell\": \"Headache characteristics\", \"bbox\": [1, 59, 81, 69]}, {\"cell\": \" Bilateral pain, N (%)\", \"bbox\": [8, 73, 73, 83]}, {\"cell\": \"45 (60.0)\", \"bbox\": [176, 73, 205, 83]}, {\"cell\": \"329 (66.5)\", \"bbox\": [309, 73, 342, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 73, 475, 83]}, {\"cell\": \" Non-pulsating quality, N (%)\", \"bbox\": [8, 87, 100, 97]}, {\"cell\": \"29 (38.7)\", \"bbox\": [176, 87, 205, 97]}, {\"cell\": \"198 (40.0)\", \"bbox\": [309, 87, 342, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 87, 475, 97]}, {\"cell\": \" Mild-to-moderate severity, N (%)\", \"bbox\": [8, 101, 114, 111]}, {\"cell\": \"73 (97.3)\", \"bbox\": [176, 101, 205, 111]}, {\"cell\": \"490 (99.0)\", \"bbox\": [309, 101, 342, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 101, 475, 111]}, {\"cell\": \" Non-aggravation by movement, N(%)\", \"bbox\": [8, 115, 131, 125]}, {\"cell\": \"58 (77.3)\", \"bbox\": [176, 115, 205, 125]}, {\"cell\": \"393 (79.4)\", \"bbox\": [309, 115, 342, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 115, 475, 125]}, {\"cell\": \"Associated symptoms\", \"bbox\": [1, 129, 72, 139]}, {\"cell\": \" Photophobia, N (%)\", \"bbox\": [8, 143, 73, 153]}, {\"cell\": \"6 (8.0)\", \"bbox\": [176, 143, 197, 153]}, {\"cell\": \"40 (8.1)\", \"bbox\": [309, 143, 334, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 143, 475, 153]}, {\"cell\": \" Phonophobia, N (%)\", \"bbox\": [8, 157, 75, 167]}, {\"cell\": \"31 (41.3)\", \"bbox\": [176, 157, 205, 167]}, {\"cell\": \"150 (30.3)\", \"bbox\": [309, 157, 342, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 157, 475, 167]}, {\"cell\": \"Headache frequency, Median (IQR)\", \"bbox\": [1, 171, 113, 181]}, {\"cell\": \"1.0 (0.3–3.0)\", \"bbox\": [176, 171, 215, 181]}, {\"cell\": \"0.4 (0.2–1.0)\", \"bbox\": [309, 171, 349, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 169, 478, 181]}, {\"cell\": \"VAS score, Median (IQR)\", \"bbox\": [1, 185, 79, 195]}, {\"cell\": \"5.0 (4.0–7.0)\", \"bbox\": [176, 185, 215, 195]}, {\"cell\": \"4.0 (3.0–6.0)\", \"bbox\": [309, 185, 349, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 183, 484, 195]}, {\"cell\": \"HIT-6 score, Median (IQR)\", \"bbox\": [1, 199, 83, 209]}, {\"cell\": \"46.0 (40.0–52.0)\", \"bbox\": [176, 199, 227, 209]}, {\"cell\": \"42.0 (38.0–46.0)\", \"bbox\": [309, 199, 360, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 197, 484, 209]}, {\"cell\": \"Anxiety, N (%)\", \"bbox\": [1, 213, 47, 223]}, {\"cell\": \"21 (28.0)\", \"bbox\": [176, 213, 205, 223]}, {\"cell\": \"33 (6.7)\", \"bbox\": [309, 213, 334, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 213, 482, 223]}, {\"cell\": \"Depression, N (%)\", \"bbox\": [1, 227, 59, 237]}, {\"cell\": \"16 (21.3)\", \"bbox\": [176, 227, 205, 237]}, {\"cell\": \"8 (1.6)\", \"bbox\": [309, 227, 330, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 227, 482, 237]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5595708_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariableAdjusted OR2(95% CI)3p value
Residence[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
City®1-[EMPTY_CELL]
Village0.46(0.189-1.156)[EMPTY_CELL]
Camp0.03(0.005-0.326)[EMPTY_CELL]
Family income (US$)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Less than 485®1-[EMPTY_CELL]
(485-620)0.19(0.057-0.644)[EMPTY_CELL]
More than 6200.86(0.226-3.311)[EMPTY_CELL]
No income0.31(0.102-0.950)[EMPTY_CELL]
Complementary feeding[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Yes®1-[EMPTY_CELL]
No0.41(0.171-0.983)[EMPTY_CELL]
Weaning age11.05(1.018-1.100)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Variable\", \"bbox\": [6, 10, 42, 21]}, {\"cell\": \"Adjusted OR2\", \"bbox\": [220, 4, 259, 27]}, {\"cell\": \"(95% CI)3\", \"bbox\": [293, 9, 335, 21]}, {\"cell\": \"p value\", \"bbox\": [384, 10, 417, 21]}, {\"cell\": \"Residence\", \"bbox\": [6, 30, 49, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"City®\", \"bbox\": [15, 44, 39, 55]}, {\"cell\": \"1\", \"bbox\": [236, 44, 244, 55]}, {\"cell\": \"-\", \"bbox\": [312, 44, 317, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [398, 44, 403, 55]}, {\"cell\": \"Village\", \"bbox\": [15, 58, 45, 69]}, {\"cell\": \"0.46\", \"bbox\": [230, 58, 250, 69]}, {\"cell\": \"(0.189-1.156)\", \"bbox\": [285, 58, 343, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [388, 58, 413, 69]}, {\"cell\": \"Camp\", \"bbox\": [15, 72, 42, 83]}, {\"cell\": \"0.03\", \"bbox\": [230, 72, 250, 83]}, {\"cell\": \"(0.005-0.326)\", \"bbox\": [285, 72, 343, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [384, 72, 417, 83]}, {\"cell\": \"Family income (US$)\", \"bbox\": [6, 86, 96, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Less than 485®\", \"bbox\": [15, 100, 78, 112]}, {\"cell\": \"1\", \"bbox\": [236, 100, 244, 112]}, {\"cell\": \"-\", \"bbox\": [312, 100, 317, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [398, 100, 403, 112]}, {\"cell\": \"(485-620)\", \"bbox\": [15, 115, 57, 126]}, {\"cell\": \"0.19\", \"bbox\": [230, 115, 250, 126]}, {\"cell\": \"(0.057-0.644)\", \"bbox\": [287, 115, 344, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [384, 115, 417, 126]}, {\"cell\": \"More than 620\", \"bbox\": [15, 129, 79, 140]}, {\"cell\": \"0.86\", \"bbox\": [230, 129, 250, 140]}, {\"cell\": \"(0.226-3.311)\", \"bbox\": [287, 129, 344, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [388, 129, 413, 140]}, {\"cell\": \"No income\", \"bbox\": [15, 143, 63, 154]}, {\"cell\": \"0.31\", \"bbox\": [230, 143, 250, 154]}, {\"cell\": \"(0.102-0.950)\", \"bbox\": [287, 143, 344, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [387, 143, 414, 154]}, {\"cell\": \"Complementary feeding\", \"bbox\": [6, 157, 110, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Yes®\", \"bbox\": [15, 171, 34, 183]}, {\"cell\": \"1\", \"bbox\": [236, 171, 244, 183]}, {\"cell\": \"-\", \"bbox\": [312, 171, 317, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [398, 171, 403, 183]}, {\"cell\": \"No\", \"bbox\": [15, 185, 29, 197]}, {\"cell\": \"0.41\", \"bbox\": [230, 185, 250, 197]}, {\"cell\": \"(0.171-0.983)\", \"bbox\": [285, 185, 343, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [386, 185, 415, 197]}, {\"cell\": \"Weaning age1\", \"bbox\": [6, 199, 65, 211]}, {\"cell\": \"1.05\", \"bbox\": [230, 200, 250, 211]}, {\"cell\": \"(1.018-1.100)\", \"bbox\": [287, 200, 344, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [384, 200, 417, 211]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4438643_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]MRgFUSUAEMyomectomy
[EMPTY_CELL](n = 14)(n = 4,092)(n = 10,320)
Unadjusted costs[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Baseline[EMPTY_CELL]$6,377$6,241
[EMPTY_CELL][EMPTY_CELL]($6,107, $6,648)($6,016, $6,465)
Operative year (pre-, peri- and post-operative costs)[EMPTY_CELL]$18,638$16,879
[EMPTY_CELL][EMPTY_CELL]($17,943, $19,332)($16,592, $17,167)
Pre-operative[EMPTY_CELL]$786$558
[EMPTY_CELL][EMPTY_CELL]($707, $866)($521, $595)
Peri-operative[EMPTY_CELL]$11,444$10,555
[EMPTY_CELL][EMPTY_CELL]($11,038, $11,849)($10,389, $10,721)
Post-operative[EMPTY_CELL]$6,408$5,766
[EMPTY_CELL][EMPTY_CELL]($5,924, $6,891)($5,550, $5,982)
Change in costs from baseline to operative year[EMPTY_CELL]$12,260$10,638
(−$5,294, $17,608)[EMPTY_CELL]($10,351, $10,925)
Regression adjusted costs*[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Baseline[EMPTY_CELL]$8,048$6,991
[EMPTY_CELL][EMPTY_CELL]($7,673, $8,439)($6,691, $7,302)
Operative year (pre-, peri- and post-operative costs)[EMPTY_CELL]$25,019$20,407
[EMPTY_CELL][EMPTY_CELL]($23,738, $26,376)($19,483, $21,381)
Pre-operative[EMPTY_CELL]$1,040$629
[EMPTY_CELL][EMPTY_CELL]($779, $1,388)($485, $815)
Peri-operative[EMPTY_CELL]$16,261$13,938
[EMPTY_CELL][EMPTY_CELL]($11,799, $22,400)($10,330, $18,808)
Post-operative[EMPTY_CELL]$7,718$5,840
[EMPTY_CELL][EMPTY_CELL]($7,122, $8,372)($5,427, $6,279)
Change in costs from baseline to operative year[EMPTY_CELL]$16,971$13,416
[EMPTY_CELL][EMPTY_CELL]($15,636, $18,306)($12,445, $14,387)
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"MRgFUS\", \"bbox\": [215, 4, 246, 13]}, {\"cell\": \"UAE\", \"bbox\": [321, 4, 337, 13]}, {\"cell\": \"Myomectomy\", \"bbox\": [426, 4, 475, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"(n = 14)\", \"bbox\": [215, 17, 242, 27]}, {\"cell\": \"(n = 4,092)\", \"bbox\": [321, 17, 359, 27]}, {\"cell\": \"(n = 10,320)\", \"bbox\": [426, 17, 468, 27]}, {\"cell\": \"Unadjusted costs\", \"bbox\": [1, 30, 62, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Baseline\", \"bbox\": [1, 44, 28, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 44, 241, 54]}, {\"cell\": \"$6,377\", \"bbox\": [321, 44, 343, 54]}, {\"cell\": \"$6,241\", \"bbox\": [426, 44, 448, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 58, 269, 68]}, {\"cell\": \"($6,107, $6,648)\", \"bbox\": [321, 58, 372, 68]}, {\"cell\": \"($6,016, $6,465)\", \"bbox\": [426, 58, 477, 68]}, {\"cell\": \"Operative year (pre-, peri- and post-operative costs)\", \"bbox\": [1, 72, 168, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 72, 241, 82]}, {\"cell\": \"$18,638\", \"bbox\": [321, 72, 347, 82]}, {\"cell\": \"$16,879\", \"bbox\": [426, 72, 452, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 86, 273, 96]}, {\"cell\": \"($17,943, $19,332)\", \"bbox\": [321, 86, 379, 96]}, {\"cell\": \"($16,592, $17,167)\", \"bbox\": [426, 86, 484, 96]}, {\"cell\": \" Pre-operative\", \"bbox\": [8, 100, 53, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 100, 232, 110]}, {\"cell\": \"$786\", \"bbox\": [321, 100, 338, 110]}, {\"cell\": \"$558\", \"bbox\": [426, 100, 443, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 114, 256, 124]}, {\"cell\": \"($707, $866)\", \"bbox\": [321, 114, 361, 124]}, {\"cell\": \"($521, $595)\", \"bbox\": [426, 114, 466, 124]}, {\"cell\": \" Peri-operative\", \"bbox\": [8, 128, 54, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 128, 237, 138]}, {\"cell\": \"$11,444\", \"bbox\": [321, 128, 347, 138]}, {\"cell\": \"$10,555\", \"bbox\": [426, 128, 452, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 142, 269, 152]}, {\"cell\": \"($11,038, $11,849)\", \"bbox\": [321, 142, 379, 152]}, {\"cell\": \"($10,389, $10,721)\", \"bbox\": [426, 142, 484, 152]}, {\"cell\": \" Post-operative\", \"bbox\": [8, 156, 56, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 156, 241, 166]}, {\"cell\": \"$6,408\", \"bbox\": [321, 156, 343, 166]}, {\"cell\": \"$5,766\", \"bbox\": [426, 156, 448, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 170, 269, 180]}, {\"cell\": \"($5,924, $6,891)\", \"bbox\": [321, 170, 372, 180]}, {\"cell\": \"($5,550, $5,982)\", \"bbox\": [426, 170, 477, 180]}, {\"cell\": \"Change in costs from baseline to operative year\", \"bbox\": [1, 184, 157, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 184, 237, 194]}, {\"cell\": \"$12,260\", \"bbox\": [321, 184, 347, 194]}, {\"cell\": \"$10,638\", \"bbox\": [426, 184, 452, 194]}, {\"cell\": \"(−$5,294, $17,608)\", \"bbox\": [215, 198, 274, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [321, 198, 379, 208]}, {\"cell\": \"($10,351, $10,925)\", \"bbox\": [426, 198, 484, 208]}, {\"cell\": \"Regression adjusted costs*\", \"bbox\": [1, 211, 95, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Baseline\", \"bbox\": [1, 226, 28, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 226, 237, 236]}, {\"cell\": \"$8,048\", \"bbox\": [321, 226, 343, 236]}, {\"cell\": \"$6,991\", \"bbox\": [426, 226, 448, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 240, 269, 250]}, {\"cell\": \"($7,673, $8,439)\", \"bbox\": [321, 240, 372, 250]}, {\"cell\": \"($6,691, $7,302)\", \"bbox\": [426, 240, 477, 250]}, {\"cell\": \"Operative year (pre-, peri- and post-operative costs)\", \"bbox\": [1, 254, 168, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 254, 241, 264]}, {\"cell\": \"$25,019\", \"bbox\": [321, 254, 347, 264]}, {\"cell\": \"$20,407\", \"bbox\": [426, 254, 452, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 268, 273, 278]}, {\"cell\": \"($23,738, $26,376)\", \"bbox\": [321, 268, 379, 278]}, {\"cell\": \"($19,483, $21,381)\", \"bbox\": [426, 268, 484, 278]}, {\"cell\": \" Pre-operative\", \"bbox\": [8, 282, 53, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 282, 232, 292]}, {\"cell\": \"$1,040\", \"bbox\": [321, 282, 343, 292]}, {\"cell\": \"$629\", \"bbox\": [426, 282, 443, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 296, 256, 306]}, {\"cell\": \"($779, $1,388)\", \"bbox\": [321, 296, 366, 306]}, {\"cell\": \"($485, $815)\", \"bbox\": [426, 296, 466, 306]}, {\"cell\": \" Peri-operative\", \"bbox\": [8, 310, 54, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 310, 237, 320]}, {\"cell\": \"$16,261\", \"bbox\": [321, 310, 347, 320]}, {\"cell\": \"$13,938\", \"bbox\": [426, 310, 452, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 324, 264, 334]}, {\"cell\": \"($11,799, $22,400)\", \"bbox\": [321, 324, 379, 334]}, {\"cell\": \"($10,330, $18,808)\", \"bbox\": [426, 324, 484, 334]}, {\"cell\": \" Post-operative\", \"bbox\": [8, 338, 56, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 338, 241, 348]}, {\"cell\": \"$7,718\", \"bbox\": [321, 338, 343, 348]}, {\"cell\": \"$5,840\", \"bbox\": [426, 338, 448, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 352, 269, 362]}, {\"cell\": \"($7,122, $8,372)\", \"bbox\": [321, 352, 372, 362]}, {\"cell\": \"($5,427, $6,279)\", \"bbox\": [426, 352, 477, 362]}, {\"cell\": \"Change in costs from baseline to operative year\", \"bbox\": [1, 366, 157, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 366, 237, 376]}, {\"cell\": \"$16,971\", \"bbox\": [321, 366, 347, 376]}, {\"cell\": \"$13,416\", \"bbox\": [426, 366, 452, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 380, 269, 390]}, {\"cell\": \"($15,636, $18,306)\", \"bbox\": [321, 380, 379, 390]}, {\"cell\": \"($12,445, $14,387)\", \"bbox\": [426, 380, 484, 390]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4265990_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
CaseBrain weight (g)*InfarctionAβ pathologyTau pathologyLewy body pathologySVDCAAFinal neuropathological diagnosis*
DM
1N/A-+---+-[EMPTY_CELL]
• mild neuronal loss and gliosis in hippocampus between the CA1 region and the subiculum
• mild loss of Purkinje cells in the cerebellum
• mineralization of vessel walls in the dentate nucleus
• non-specific neurodegenerative changes
21110globus pallidus++--++++[EMPTY_CELL]
• right middle cerebral artery territory subacute infarct
• possible AD
31200-------[EMPTY_CELL]
• small areas of infarction
• cerebral athero-arterio-arteriolosclerosis, remote frontal white matter infarct
41010globus pallidus++++++ (cortex, striatum and brainstem)-+++[EMPTY_CELL]
• hippocampal sclerosis
5N/Amidbrain tegmentum+++++ (cortex, striatum and brainstem)++ (cortical and brainstem)+-[EMPTY_CELL]
• cerebrovascular disease (a)numerous infartcs of different ages (b) atherosclerotic disease of circle of Willis arteries
61184-++++ (cortex, striatum and brainstem)-++[EMPTY_CELL]
• focal acute (perimortem) petechial hemorrhages
7N/A---+ (brainstem)+ (substantia nigra)--[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Case\", \"bbox\": [1, 4, 18, 14]}, {\"cell\": \"Brain weight (g)*\", \"bbox\": [25, 4, 65, 23]}, {\"cell\": \"Infarction\", \"bbox\": [72, 4, 106, 14]}, {\"cell\": \"Aβ pathology\", \"bbox\": [150, 4, 198, 14]}, {\"cell\": \"Tau pathology\", \"bbox\": [208, 4, 259, 14]}, {\"cell\": \"Lewy body pathology\", \"bbox\": [327, 4, 401, 14]}, {\"cell\": \"SVD\", \"bbox\": [424, 4, 440, 14]}, {\"cell\": \"CAA\", \"bbox\": [447, 4, 463, 14]}, {\"cell\": \"Final neuropathological diagnosis*\", \"bbox\": [470, 4, 590, 14]}, {\"cell\": \"D\", \"bbox\": [150, 18, 158, 27]}, {\"cell\": \"M\", \"bbox\": [182, 18, 190, 27]}, {\"cell\": \"1\", \"bbox\": [0, 31, 6, 40]}, {\"cell\": \"N/A\", \"bbox\": [25, 31, 40, 40]}, {\"cell\": \"-\", \"bbox\": [72, 31, 76, 40]}, {\"cell\": \"+\", \"bbox\": [150, 31, 157, 40]}, {\"cell\": \"-\", \"bbox\": [182, 31, 186, 40]}, {\"cell\": \"-\", \"bbox\": [208, 31, 213, 40]}, {\"cell\": \"-\", \"bbox\": [327, 31, 331, 40]}, {\"cell\": \"+\", \"bbox\": [424, 31, 431, 40]}, {\"cell\": \"-\", \"bbox\": [447, 31, 452, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [470, 31, 617, 40]}, {\"cell\": \"• mild neuronal loss and gliosis in hippocampus between the CA1 region and the subiculum\", \"bbox\": [470, 45, 626, 63]}, {\"cell\": \"• mild loss of Purkinje cells in the cerebellum\", \"bbox\": [470, 68, 616, 77]}, {\"cell\": \"• mineralization of vessel walls in the dentate nucleus\", \"bbox\": [470, 82, 644, 91]}, {\"cell\": \"• non-specific neurodegenerative changes\", \"bbox\": [470, 96, 607, 105]}, {\"cell\": \"2\", \"bbox\": [0, 110, 6, 119]}, {\"cell\": \"1110\", \"bbox\": [25, 110, 43, 119]}, {\"cell\": \"globus pallidus\", \"bbox\": [72, 110, 122, 119]}, {\"cell\": \"+\", \"bbox\": [150, 110, 157, 119]}, {\"cell\": \"+\", \"bbox\": [182, 110, 189, 119]}, {\"cell\": \"-\", \"bbox\": [208, 110, 213, 119]}, {\"cell\": \"-\", \"bbox\": [327, 110, 331, 119]}, {\"cell\": \"+++\", \"bbox\": [424, 110, 440, 119]}, {\"cell\": \"+\", \"bbox\": [447, 110, 454, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [470, 110, 588, 119]}, {\"cell\": \"• right middle cerebral artery territory subacute infarct\", \"bbox\": [470, 124, 645, 133]}, {\"cell\": \"• possible AD\", \"bbox\": [470, 138, 515, 147]}, {\"cell\": \"3\", \"bbox\": [0, 152, 6, 161]}, {\"cell\": \"1200\", \"bbox\": [25, 152, 43, 161]}, {\"cell\": \"-\", \"bbox\": [72, 152, 76, 161]}, {\"cell\": \"-\", \"bbox\": [150, 152, 155, 161]}, {\"cell\": \"-\", \"bbox\": [182, 152, 186, 161]}, {\"cell\": \"-\", \"bbox\": [208, 152, 213, 161]}, {\"cell\": \"-\", \"bbox\": [327, 152, 331, 161]}, {\"cell\": \"-\", \"bbox\": [424, 152, 428, 161]}, {\"cell\": \"-\", \"bbox\": [447, 152, 452, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [470, 152, 543, 161]}, {\"cell\": \"• small areas of infarction\", \"bbox\": [470, 166, 553, 175]}, {\"cell\": \"• cerebral athero-arterio-arteriolosclerosis, remote frontal white matter infarct\", \"bbox\": [470, 180, 629, 198]}, {\"cell\": \"4\", \"bbox\": [0, 203, 6, 212]}, {\"cell\": \"1010\", \"bbox\": [25, 203, 43, 212]}, {\"cell\": \"globus pallidus\", \"bbox\": [72, 203, 122, 212]}, {\"cell\": \"+++\", \"bbox\": [150, 203, 167, 212]}, {\"cell\": \"++\", \"bbox\": [182, 203, 193, 212]}, {\"cell\": \"+ (cortex, striatum and brainstem)\", \"bbox\": [208, 203, 320, 212]}, {\"cell\": \"-\", \"bbox\": [327, 203, 331, 212]}, {\"cell\": \"+\", \"bbox\": [424, 203, 431, 212]}, {\"cell\": \"++\", \"bbox\": [447, 203, 459, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [470, 203, 637, 239]}, {\"cell\": \"• hippocampal sclerosis\", \"bbox\": [470, 244, 547, 253]}, {\"cell\": \"5\", \"bbox\": [0, 258, 6, 267]}, {\"cell\": \"N/A\", \"bbox\": [25, 258, 40, 267]}, {\"cell\": \"midbrain tegmentum\", \"bbox\": [72, 258, 143, 267]}, {\"cell\": \"++\", \"bbox\": [150, 258, 162, 267]}, {\"cell\": \"++\", \"bbox\": [182, 258, 193, 267]}, {\"cell\": \"+ (cortex, striatum and brainstem)\", \"bbox\": [208, 258, 320, 267]}, {\"cell\": \"++ (cortical and brainstem)\", \"bbox\": [327, 258, 417, 267]}, {\"cell\": \"+\", \"bbox\": [424, 258, 431, 267]}, {\"cell\": \"-\", \"bbox\": [447, 258, 452, 267]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [470, 258, 642, 276]}, {\"cell\": \"• cerebrovascular disease (a)numerous infartcs of different ages (b) atherosclerotic disease of circle of Willis arteries\", \"bbox\": [470, 281, 633, 308]}, {\"cell\": \"6\", \"bbox\": [0, 313, 6, 322]}, {\"cell\": \"1184\", \"bbox\": [25, 313, 43, 322]}, {\"cell\": \"-\", \"bbox\": [72, 313, 76, 322]}, {\"cell\": \"++\", \"bbox\": [150, 313, 162, 322]}, {\"cell\": \"+\", \"bbox\": [182, 313, 189, 322]}, {\"cell\": \"+ (cortex, striatum and brainstem)\", \"bbox\": [208, 313, 320, 322]}, {\"cell\": \"-\", \"bbox\": [327, 313, 331, 322]}, {\"cell\": \"+\", \"bbox\": [424, 313, 431, 322]}, {\"cell\": \"+\", \"bbox\": [447, 313, 454, 322]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [470, 313, 559, 322]}, {\"cell\": \"• focal acute (perimortem) petechial hemorrhages\", \"bbox\": [470, 327, 632, 336]}, {\"cell\": \"7\", \"bbox\": [0, 341, 6, 350]}, {\"cell\": \"N/A\", \"bbox\": [25, 341, 40, 350]}, {\"cell\": \"-\", \"bbox\": [72, 341, 76, 350]}, {\"cell\": \"-\", \"bbox\": [150, 341, 155, 350]}, {\"cell\": \"-\", \"bbox\": [182, 341, 186, 350]}, {\"cell\": \"+ (brainstem)\", \"bbox\": [208, 341, 253, 350]}, {\"cell\": \"+ (substantia nigra)\", \"bbox\": [327, 341, 391, 350]}, {\"cell\": \"-\", \"bbox\": [424, 341, 428, 350]}, {\"cell\": \"-\", \"bbox\": [447, 341, 452, 350]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [470, 341, 641, 359]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4247124_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]HaplotypesCasesControlsORs (95% CI)p
rs3758644rs7102273rs4930588rs12363572rs11228303
1ATTC[EMPTY_CELL]52 (1.44)182 (1.20)1.209 (0.887–1.649)0.229
2GCGC[EMPTY_CELL]364 (10.07)1558 (10.26)0.981 (0.870–1.106)0.754
3GCGC[EMPTY_CELL]35 (0.97)107 (0.70)1.389 (0.947–2.036)0.091
4GCGT[EMPTY_CELL]15 (0.41)63 (0.41)1.014 (0.579–1.778)0.960
5GCTC[EMPTY_CELL]286 (7.90)1031 (6.78)1.182 (1.031–1.354)0.016
6GCTC[EMPTY_CELL]23 (0.64)82 (0.54)1.162 (0.729–1.852)0.528
7GCTT[EMPTY_CELL]120 (3.32)712 (4.68)0.701 (0.576–0.853)0.001
8GCTT[EMPTY_CELL]8 (0.22)51 (0.34)0.667 (0.325–1.414)0.297
9GTGC[EMPTY_CELL]101 (2.79)365 (2.40)1.175 (0.940–1.469)0.156
10GTTC[EMPTY_CELL]2362 (65.28)10,047 (66.10)0.967 (0.896–1.044)0.387
11GTTC[EMPTY_CELL]157 (4.34)662 (4.36)0.996 (0.833–1.190)0.963
12GTTT[EMPTY_CELL]88 (2.43)310 (2.04)1.193 (0.938–1.517)0.149
13GTTT[EMPTY_CELL]7 (0.19)29 (0.19)1.087 (0.482–2.450)0.840
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Haplotypes\", \"bbox\": [127, 8, 168, 17]}, {\"cell\": \"Cases\", \"bbox\": [289, 16, 311, 25]}, {\"cell\": \"Controls\", \"bbox\": [341, 16, 372, 25]}, {\"cell\": \"ORs (95% CI)\", \"bbox\": [398, 16, 450, 25]}, {\"cell\": \"p\", \"bbox\": [478, 16, 484, 25]}, {\"cell\": \"rs3758644\", \"bbox\": [30, 24, 67, 33]}, {\"cell\": \"rs7102273\", \"bbox\": [80, 24, 116, 33]}, {\"cell\": \"rs4930588\", \"bbox\": [129, 24, 166, 33]}, {\"cell\": \"rs12363572\", \"bbox\": [177, 24, 217, 33]}, {\"cell\": \"rs11228303\", \"bbox\": [226, 24, 267, 33]}, {\"cell\": \"1\", \"bbox\": [10, 39, 16, 48]}, {\"cell\": \"A\", \"bbox\": [44, 39, 52, 48]}, {\"cell\": \"T\", \"bbox\": [94, 39, 101, 48]}, {\"cell\": \"T\", \"bbox\": [144, 39, 151, 48]}, {\"cell\": \"C\", \"bbox\": [193, 39, 201, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [243, 39, 250, 48]}, {\"cell\": \"52 (1.44)\", \"bbox\": [285, 39, 315, 48]}, {\"cell\": \"182 (1.20)\", \"bbox\": [339, 39, 374, 48]}, {\"cell\": \"1.209 (0.887–1.649)\", \"bbox\": [390, 36, 458, 49]}, {\"cell\": \"0.229\", \"bbox\": [471, 39, 491, 48]}, {\"cell\": \"2\", \"bbox\": [10, 54, 16, 63]}, {\"cell\": \"G\", \"bbox\": [44, 54, 52, 63]}, {\"cell\": \"C\", \"bbox\": [94, 54, 102, 63]}, {\"cell\": \"G\", \"bbox\": [144, 54, 151, 63]}, {\"cell\": \"C\", \"bbox\": [193, 54, 201, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [243, 54, 250, 63]}, {\"cell\": \"364 (10.07)\", \"bbox\": [281, 54, 319, 63]}, {\"cell\": \"1558 (10.26)\", \"bbox\": [336, 54, 378, 63]}, {\"cell\": \"0.981 (0.870–1.106)\", \"bbox\": [390, 51, 458, 64]}, {\"cell\": \"0.754\", \"bbox\": [471, 54, 491, 63]}, {\"cell\": \"3\", \"bbox\": [10, 69, 16, 78]}, {\"cell\": \"G\", \"bbox\": [44, 69, 52, 78]}, {\"cell\": \"C\", \"bbox\": [94, 69, 102, 78]}, {\"cell\": \"G\", \"bbox\": [144, 69, 151, 78]}, {\"cell\": \"C\", \"bbox\": [193, 69, 201, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [243, 69, 250, 78]}, {\"cell\": \"35 (0.97)\", \"bbox\": [285, 69, 315, 78]}, {\"cell\": \"107 (0.70)\", \"bbox\": [339, 69, 374, 78]}, {\"cell\": \"1.389 (0.947–2.036)\", \"bbox\": [390, 66, 458, 79]}, {\"cell\": \"0.091\", \"bbox\": [471, 69, 491, 78]}, {\"cell\": \"4\", \"bbox\": [10, 84, 16, 93]}, {\"cell\": \"G\", \"bbox\": [44, 84, 52, 93]}, {\"cell\": \"C\", \"bbox\": [94, 84, 102, 93]}, {\"cell\": \"G\", \"bbox\": [144, 84, 151, 93]}, {\"cell\": \"T\", \"bbox\": [194, 84, 201, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [243, 84, 250, 93]}, {\"cell\": \"15 (0.41)\", \"bbox\": [285, 84, 315, 93]}, {\"cell\": \"63 (0.41)\", \"bbox\": [341, 84, 372, 93]}, {\"cell\": \"1.014 (0.579–1.778)\", \"bbox\": [390, 81, 458, 94]}, {\"cell\": \"0.960\", \"bbox\": [471, 84, 491, 93]}, {\"cell\": \"5\", \"bbox\": [10, 99, 16, 108]}, {\"cell\": \"G\", \"bbox\": [44, 99, 52, 108]}, {\"cell\": \"C\", \"bbox\": [94, 99, 102, 108]}, {\"cell\": \"T\", \"bbox\": [144, 99, 151, 108]}, {\"cell\": \"C\", \"bbox\": [193, 99, 201, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [243, 99, 250, 108]}, {\"cell\": \"286 (7.90)\", \"bbox\": [283, 99, 317, 108]}, {\"cell\": \"1031 (6.78)\", \"bbox\": [338, 99, 376, 108]}, {\"cell\": \"1.182 (1.031–1.354)\", \"bbox\": [390, 96, 458, 109]}, {\"cell\": \"0.016\", \"bbox\": [471, 99, 491, 108]}, {\"cell\": \"6\", \"bbox\": [10, 114, 16, 123]}, {\"cell\": \"G\", \"bbox\": [44, 114, 52, 123]}, {\"cell\": \"C\", \"bbox\": [94, 114, 102, 123]}, {\"cell\": \"T\", \"bbox\": [144, 114, 151, 123]}, {\"cell\": \"C\", \"bbox\": [193, 114, 201, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [243, 114, 250, 123]}, {\"cell\": \"23 (0.64)\", \"bbox\": [285, 114, 315, 123]}, {\"cell\": \"82 (0.54)\", \"bbox\": [341, 114, 372, 123]}, {\"cell\": \"1.162 (0.729–1.852)\", \"bbox\": [390, 111, 458, 124]}, {\"cell\": \"0.528\", \"bbox\": [471, 114, 491, 123]}, {\"cell\": \"7\", \"bbox\": [10, 129, 16, 138]}, {\"cell\": \"G\", \"bbox\": [44, 129, 52, 138]}, {\"cell\": \"C\", \"bbox\": [94, 129, 102, 138]}, {\"cell\": \"T\", \"bbox\": [144, 129, 151, 138]}, {\"cell\": \"T\", \"bbox\": [194, 129, 201, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [243, 129, 250, 138]}, {\"cell\": \"120 (3.32)\", \"bbox\": [283, 129, 317, 138]}, {\"cell\": \"712 (4.68)\", \"bbox\": [339, 129, 374, 138]}, {\"cell\": \"0.701 (0.576–0.853)\", \"bbox\": [390, 126, 458, 139]}, {\"cell\": \"0.001\", \"bbox\": [471, 129, 491, 138]}, {\"cell\": \"8\", \"bbox\": [10, 144, 16, 153]}, {\"cell\": \"G\", \"bbox\": [44, 144, 52, 153]}, {\"cell\": \"C\", \"bbox\": [94, 144, 102, 153]}, {\"cell\": \"T\", \"bbox\": [144, 144, 151, 153]}, {\"cell\": \"T\", \"bbox\": [194, 144, 201, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [243, 144, 250, 153]}, {\"cell\": \"8 (0.22)\", \"bbox\": [287, 144, 313, 153]}, {\"cell\": \"51 (0.34)\", \"bbox\": [341, 144, 372, 153]}, {\"cell\": \"0.667 (0.325–1.414)\", \"bbox\": [390, 141, 458, 154]}, {\"cell\": \"0.297\", \"bbox\": [471, 144, 491, 153]}, {\"cell\": \"9\", \"bbox\": [10, 159, 16, 168]}, {\"cell\": \"G\", \"bbox\": [44, 159, 52, 168]}, {\"cell\": \"T\", \"bbox\": [94, 159, 101, 168]}, {\"cell\": \"G\", \"bbox\": [144, 159, 151, 168]}, {\"cell\": \"C\", \"bbox\": [193, 159, 201, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [243, 159, 250, 168]}, {\"cell\": \"101 (2.79)\", \"bbox\": [283, 159, 317, 168]}, {\"cell\": \"365 (2.40)\", \"bbox\": [339, 159, 374, 168]}, {\"cell\": \"1.175 (0.940–1.469)\", \"bbox\": [390, 156, 458, 169]}, {\"cell\": \"0.156\", \"bbox\": [471, 159, 491, 168]}, {\"cell\": \"10\", \"bbox\": [8, 174, 18, 183]}, {\"cell\": \"G\", \"bbox\": [44, 174, 52, 183]}, {\"cell\": \"T\", \"bbox\": [94, 174, 101, 183]}, {\"cell\": \"T\", \"bbox\": [144, 174, 151, 183]}, {\"cell\": \"C\", \"bbox\": [193, 174, 201, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [243, 174, 250, 183]}, {\"cell\": \"2362 (65.28)\", \"bbox\": [279, 174, 321, 183]}, {\"cell\": \"10,047 (66.10)\", \"bbox\": [333, 174, 380, 183]}, {\"cell\": \"0.967 (0.896–1.044)\", \"bbox\": [390, 171, 458, 184]}, {\"cell\": \"0.387\", \"bbox\": [471, 174, 491, 183]}, {\"cell\": \"11\", \"bbox\": [8, 189, 18, 198]}, {\"cell\": \"G\", \"bbox\": [44, 189, 52, 198]}, {\"cell\": \"T\", \"bbox\": [94, 189, 101, 198]}, {\"cell\": \"T\", \"bbox\": [144, 189, 151, 198]}, {\"cell\": \"C\", \"bbox\": [193, 189, 201, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [243, 189, 250, 198]}, {\"cell\": \"157 (4.34)\", \"bbox\": [283, 189, 317, 198]}, {\"cell\": \"662 (4.36)\", \"bbox\": [339, 189, 374, 198]}, {\"cell\": \"0.996 (0.833–1.190)\", \"bbox\": [390, 186, 458, 199]}, {\"cell\": \"0.963\", \"bbox\": [471, 189, 491, 198]}, {\"cell\": \"12\", \"bbox\": [8, 204, 18, 213]}, {\"cell\": \"G\", \"bbox\": [44, 204, 52, 213]}, {\"cell\": \"T\", \"bbox\": [94, 204, 101, 213]}, {\"cell\": \"T\", \"bbox\": [144, 204, 151, 213]}, {\"cell\": \"T\", \"bbox\": [194, 204, 201, 213]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [243, 204, 250, 213]}, {\"cell\": \"88 (2.43)\", \"bbox\": [285, 204, 315, 213]}, {\"cell\": \"310 (2.04)\", \"bbox\": [339, 204, 374, 213]}, {\"cell\": \"1.193 (0.938–1.517)\", \"bbox\": [390, 201, 458, 214]}, {\"cell\": \"0.149\", \"bbox\": [471, 204, 491, 213]}, {\"cell\": \"13\", \"bbox\": [8, 219, 18, 228]}, {\"cell\": \"G\", \"bbox\": [44, 219, 52, 228]}, {\"cell\": \"T\", \"bbox\": [94, 219, 101, 228]}, {\"cell\": \"T\", \"bbox\": [144, 219, 151, 228]}, {\"cell\": \"T\", \"bbox\": [194, 219, 201, 228]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [243, 219, 250, 228]}, {\"cell\": \"7 (0.19)\", \"bbox\": [287, 219, 313, 228]}, {\"cell\": \"29 (0.19)\", \"bbox\": [341, 219, 372, 228]}, {\"cell\": \"1.087 (0.482–2.450)\", \"bbox\": [390, 216, 458, 229]}, {\"cell\": \"0.840\", \"bbox\": [471, 219, 491, 228]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4488812_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
AntibioticsResistance rate (%)
Escherichia coliNon-E. coli
Animal (n = 400)Non-imported food(n = 400)Overseas food (n = 100)Human(84)Water(n = 50)(n = 34)
AMC22[EMPTY_CELL]00021
AMP66[EMPTY_CELL]50447659
CRO41[EMPTY_CELL]99721
CTX41[EMPTY_CELL]99721
MRP0[EMPTY_CELL]0000
CIP25[EMPTY_CELL]21682429
NAL53[EMPTY_CELL]29858635
CLS99[EMPTY_CELL]100100100100
AMK6[EMPTY_CELL]0000
STR72[EMPTY_CELL]59291729
CHL49[EMPTY_CELL]3806941
KAN63[EMPTY_CELL]21127641
TET94[EMPTY_CELL]58567621
SXT81[EMPTY_CELL]48197921
TIG0[EMPTY_CELL]0000
FOS13[EMPTY_CELL]081559
\", \"cells\": [{\"cell\": \"Antibiotics\", \"bbox\": [4, 30, 44, 40]}, {\"cell\": \"Resistance rate (%)\", \"bbox\": [313, 4, 384, 14]}, {\"cell\": \"Escherichia coli\", \"bbox\": [295, 17, 351, 25]}, {\"cell\": \"Non-E. coli\", \"bbox\": [466, 17, 506, 26]}, {\"cell\": \"Animal (n = 400)\", \"bbox\": [188, 43, 247, 53]}, {\"cell\": \"Non-imported food(n = 400)\", \"bbox\": [258, 29, 309, 66]}, {\"cell\": \"Overseas food (n = 100)\", \"bbox\": [323, 38, 376, 57]}, {\"cell\": \"Human(84)\", \"bbox\": [388, 34, 415, 62]}, {\"cell\": \"Water(n = 50)\", \"bbox\": [427, 34, 454, 62]}, {\"cell\": \"(n = 34)\", \"bbox\": [472, 43, 500, 53]}, {\"cell\": \"AMC\", \"bbox\": [4, 70, 22, 79]}, {\"cell\": \"22\", \"bbox\": [212, 70, 223, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [280, 70, 287, 79]}, {\"cell\": \"0\", \"bbox\": [346, 70, 353, 79]}, {\"cell\": \"0\", \"bbox\": [398, 70, 404, 79]}, {\"cell\": \"0\", \"bbox\": [438, 70, 444, 79]}, {\"cell\": \"21\", \"bbox\": [481, 70, 491, 79]}, {\"cell\": \"AMP\", \"bbox\": [4, 83, 22, 92]}, {\"cell\": \"66\", \"bbox\": [212, 83, 223, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [278, 83, 289, 92]}, {\"cell\": \"50\", \"bbox\": [344, 83, 355, 92]}, {\"cell\": \"44\", \"bbox\": [396, 83, 407, 92]}, {\"cell\": \"76\", \"bbox\": [435, 83, 446, 92]}, {\"cell\": \"59\", \"bbox\": [481, 83, 491, 92]}, {\"cell\": \"CRO\", \"bbox\": [4, 95, 20, 105]}, {\"cell\": \"41\", \"bbox\": [212, 95, 222, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [278, 95, 289, 105]}, {\"cell\": \"9\", \"bbox\": [346, 95, 353, 105]}, {\"cell\": \"9\", \"bbox\": [398, 95, 404, 105]}, {\"cell\": \"7\", \"bbox\": [438, 95, 444, 105]}, {\"cell\": \"21\", \"bbox\": [481, 95, 491, 105]}, {\"cell\": \"CTX\", \"bbox\": [4, 108, 19, 118]}, {\"cell\": \"41\", \"bbox\": [212, 108, 222, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [278, 108, 289, 118]}, {\"cell\": \"9\", \"bbox\": [346, 108, 353, 118]}, {\"cell\": \"9\", \"bbox\": [398, 108, 404, 118]}, {\"cell\": \"7\", \"bbox\": [438, 108, 444, 118]}, {\"cell\": \"21\", \"bbox\": [481, 108, 491, 118]}, {\"cell\": \"MRP\", \"bbox\": [4, 121, 21, 130]}, {\"cell\": \"0\", \"bbox\": [214, 121, 221, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [280, 121, 287, 130]}, {\"cell\": \"0\", \"bbox\": [346, 121, 353, 130]}, {\"cell\": \"0\", \"bbox\": [398, 121, 404, 130]}, {\"cell\": \"0\", \"bbox\": [438, 121, 444, 130]}, {\"cell\": \"0\", \"bbox\": [483, 121, 489, 130]}, {\"cell\": \"CIP\", \"bbox\": [4, 134, 17, 143]}, {\"cell\": \"25\", \"bbox\": [212, 134, 223, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [278, 134, 289, 143]}, {\"cell\": \"21\", \"bbox\": [344, 134, 354, 143]}, {\"cell\": \"68\", \"bbox\": [395, 134, 407, 143]}, {\"cell\": \"24\", \"bbox\": [435, 134, 446, 143]}, {\"cell\": \"29\", \"bbox\": [480, 134, 491, 143]}, {\"cell\": \"NAL\", \"bbox\": [4, 147, 20, 156]}, {\"cell\": \"53\", \"bbox\": [212, 147, 223, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 147, 289, 156]}, {\"cell\": \"29\", \"bbox\": [344, 147, 355, 156]}, {\"cell\": \"85\", \"bbox\": [396, 147, 407, 156]}, {\"cell\": \"86\", \"bbox\": [435, 147, 447, 156]}, {\"cell\": \"35\", \"bbox\": [481, 147, 491, 156]}, {\"cell\": \"CLS\", \"bbox\": [4, 160, 19, 169]}, {\"cell\": \"99\", \"bbox\": [212, 160, 223, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [278, 160, 289, 169]}, {\"cell\": \"100\", \"bbox\": [342, 160, 357, 169]}, {\"cell\": \"100\", \"bbox\": [394, 160, 409, 169]}, {\"cell\": \"100\", \"bbox\": [433, 160, 448, 169]}, {\"cell\": \"100\", \"bbox\": [478, 160, 493, 169]}, {\"cell\": \"AMK\", \"bbox\": [4, 172, 22, 182]}, {\"cell\": \"6\", \"bbox\": [214, 172, 221, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 172, 287, 182]}, {\"cell\": \"0\", \"bbox\": [346, 172, 353, 182]}, {\"cell\": \"0\", \"bbox\": [398, 172, 404, 182]}, {\"cell\": \"0\", \"bbox\": [438, 172, 444, 182]}, {\"cell\": \"0\", \"bbox\": [483, 172, 489, 182]}, {\"cell\": \"STR\", \"bbox\": [4, 185, 19, 195]}, {\"cell\": \"72\", \"bbox\": [212, 185, 223, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [278, 185, 289, 195]}, {\"cell\": \"59\", \"bbox\": [344, 185, 355, 195]}, {\"cell\": \"29\", \"bbox\": [396, 185, 407, 195]}, {\"cell\": \"17\", \"bbox\": [436, 185, 445, 195]}, {\"cell\": \"29\", \"bbox\": [480, 185, 491, 195]}, {\"cell\": \"CHL\", \"bbox\": [4, 198, 19, 207]}, {\"cell\": \"49\", \"bbox\": [212, 198, 223, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [278, 198, 289, 207]}, {\"cell\": \"38\", \"bbox\": [344, 198, 355, 207]}, {\"cell\": \"0\", \"bbox\": [398, 198, 404, 207]}, {\"cell\": \"69\", \"bbox\": [435, 198, 446, 207]}, {\"cell\": \"41\", \"bbox\": [481, 198, 491, 207]}, {\"cell\": \"KAN\", \"bbox\": [4, 211, 21, 220]}, {\"cell\": \"63\", \"bbox\": [212, 211, 223, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 211, 289, 220]}, {\"cell\": \"21\", \"bbox\": [344, 211, 354, 220]}, {\"cell\": \"12\", \"bbox\": [396, 211, 406, 220]}, {\"cell\": \"76\", \"bbox\": [435, 211, 446, 220]}, {\"cell\": \"41\", \"bbox\": [481, 211, 491, 220]}, {\"cell\": \"TET\", \"bbox\": [4, 224, 18, 233]}, {\"cell\": \"94\", \"bbox\": [212, 224, 223, 233]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [278, 224, 289, 233]}, {\"cell\": \"58\", \"bbox\": [344, 224, 355, 233]}, {\"cell\": \"56\", \"bbox\": [396, 224, 407, 233]}, {\"cell\": \"76\", \"bbox\": [435, 224, 446, 233]}, {\"cell\": \"21\", \"bbox\": [481, 224, 491, 233]}, {\"cell\": \"SXT\", \"bbox\": [4, 237, 19, 246]}, {\"cell\": \"81\", \"bbox\": [212, 237, 223, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [278, 237, 289, 246]}, {\"cell\": \"48\", \"bbox\": [344, 237, 355, 246]}, {\"cell\": \"19\", \"bbox\": [396, 237, 406, 246]}, {\"cell\": \"79\", \"bbox\": [436, 237, 446, 246]}, {\"cell\": \"21\", \"bbox\": [481, 237, 491, 246]}, {\"cell\": \"TIG\", \"bbox\": [4, 249, 17, 259]}, {\"cell\": \"0\", \"bbox\": [214, 249, 221, 259]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [280, 249, 287, 259]}, {\"cell\": \"0\", \"bbox\": [346, 249, 353, 259]}, {\"cell\": \"0\", \"bbox\": [398, 249, 404, 259]}, {\"cell\": \"0\", \"bbox\": [438, 249, 444, 259]}, {\"cell\": \"0\", \"bbox\": [483, 249, 489, 259]}, {\"cell\": \"FOS\", \"bbox\": [4, 262, 20, 272]}, {\"cell\": \"13\", \"bbox\": [213, 262, 222, 272]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 262, 286, 272]}, {\"cell\": \"0\", \"bbox\": [346, 262, 353, 272]}, {\"cell\": \"8\", \"bbox\": [398, 262, 405, 272]}, {\"cell\": \"15\", \"bbox\": [436, 262, 446, 272]}, {\"cell\": \"59\", \"bbox\": [481, 262, 491, 272]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5709956_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]EpithelioidNon-epithelioid*
[EMPTY_CELL]MSLN n = 230 (%)CA125 n = 226 (%)WT1 n = 226 (%)MSLN n = 49 (%)CA125 n = 49 (%)WT1 n = 49 (%)
Expression[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Positive215(93.5)[EMPTY_CELL](74.8)220(97.3)28(57.1)16(32.7)48(98.0)
Negative15(6.5)[EMPTY_CELL](25.2)6(2.7)21(42.9)33(67.3)1(2.0)
Distribution[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
≥50%193(83.9)[EMPTY_CELL](20.4)162(71.7)12(24.5)3(6.1)22(44.9)
<50%, >0%22(9.6)[EMPTY_CELL](54.4)58(25.6)16(32.7)13(26.6)26(53.1)
Intensity[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Strong81(35.2)[EMPTY_CELL](8.8)71(31.4)4(8.2)0(0.0)11(22.5)
Moderate77(33.5)[EMPTY_CELL](27.4)96(42.5)8(16.3)2(4.1)18(36.7)
Weak57(24.8)[EMPTY_CELL](38.5)53(23.5)16(32.7)14(28.6)19(38.8)
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Epithelioid\", \"bbox\": [161, 6, 206, 16]}, {\"cell\": \"Non-epithelioid*\", \"bbox\": [360, 6, 427, 16]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"MSLN n = 230 (%)\", \"bbox\": [90, 21, 137, 46]}, {\"cell\": \"CA125 n = 226 (%)\", \"bbox\": [160, 21, 207, 46]}, {\"cell\": \"WT1 n = 226 (%)\", \"bbox\": [230, 21, 277, 46]}, {\"cell\": \"MSLN n = 49 (%)\", \"bbox\": [302, 21, 345, 46]}, {\"cell\": \"CA125 n = 49 (%)\", \"bbox\": [372, 21, 415, 46]}, {\"cell\": \"WT1 n = 49 (%)\", \"bbox\": [442, 21, 485, 46]}, {\"cell\": \"Expression\", \"bbox\": [4, 52, 48, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Positive\", \"bbox\": [13, 67, 45, 77]}, {\"cell\": \"215\", \"bbox\": [88, 67, 104, 77]}, {\"cell\": \"(93.5)\", \"bbox\": [119, 67, 143, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 67, 174, 77]}, {\"cell\": \"(74.8)\", \"bbox\": [189, 64, 213, 78]}, {\"cell\": \"220\", \"bbox\": [228, 67, 244, 77]}, {\"cell\": \"(97.3)\", \"bbox\": [259, 64, 283, 78]}, {\"cell\": \"28\", \"bbox\": [301, 64, 312, 78]}, {\"cell\": \"(57.1)\", \"bbox\": [329, 64, 353, 78]}, {\"cell\": \"16\", \"bbox\": [371, 67, 382, 77]}, {\"cell\": \"(32.7)\", \"bbox\": [399, 64, 423, 78]}, {\"cell\": \"48\", \"bbox\": [441, 64, 452, 78]}, {\"cell\": \"(98.0)\", \"bbox\": [469, 64, 493, 78]}, {\"cell\": \" Negative\", \"bbox\": [12, 82, 48, 92]}, {\"cell\": \"15\", \"bbox\": [90, 82, 101, 93]}, {\"cell\": 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\"16\", \"bbox\": [300, 189, 311, 199]}, {\"cell\": \"(32.7)\", \"bbox\": [329, 186, 353, 200]}, {\"cell\": \"14\", \"bbox\": [370, 189, 381, 199]}, {\"cell\": \"(28.6)\", \"bbox\": [399, 186, 423, 200]}, {\"cell\": \"19\", \"bbox\": [440, 189, 451, 199]}, {\"cell\": \"(38.8)\", \"bbox\": [469, 186, 493, 200]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5652821_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]GP trainersNon-trainer GPsp-value
[EMPTY_CELL](n = 623)(n = 4369)[EMPTY_CELL]
[EMPTY_CELL]m(SD)m(SD)[EMPTY_CELL]
Individual patients consulted (year 2011)1729(556)1630[EMPTY_CELL]0.004
Visits (year 2011)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Office visits[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Global4351(1474)4066[EMPTY_CELL]0.001
Per patient2.6(0.6)2.6[EMPTY_CELL]0.48
Home visits[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Global277(260)262[EMPTY_CELL]0.28
Per patient0.2(0.1)0.2[EMPTY_CELL]0.36
On-call duties [n (%)][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]<10−4
Yes448(71.9)2535[EMPTY_CELL][EMPTY_CELL]
No175(28.1)1834[EMPTY_CELL][EMPTY_CELL]
Prescriptions (year 2011)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Reimbursed drugs[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Global (Euros)271339(150250)251745[EMPTY_CELL]0.01
Per patient (Euros)161.2(86.1)159.9[EMPTY_CELL]0.72
Proportion of generics23.4 %(5.7 %)21.2 %[EMPTY_CELL]<10−4
Allowances for sick leave[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Global (days)3815(2350)3828[EMPTY_CELL]0.92
Medical procedures (year 2012)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Electrocardiograms36.9(43.0)21.1[EMPTY_CELL]<10−4
Sutures3.7(7.3)4.6[EMPTY_CELL]0.39
Plaster casts1.0(4.0)3.4[EMPTY_CELL]0.04
Cervical smears1.2(3.5)0.4[EMPTY_CELL]<10−4
Performance indicatorsa[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Seasonal flu vaccinationb (year 2012) [n (%)][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]<10−4
Yes46469(54.5)268706[EMPTY_CELL][EMPTY_CELL]
No38856(45.5)242377[EMPTY_CELL][EMPTY_CELL]
Mammogramc (years 2011–2012) [n (%)][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]<10−4
Yes43746(65.5)259666[EMPTY_CELL][EMPTY_CELL]
No23079(34.5)151698[EMPTY_CELL][EMPTY_CELL]
Three or four glycated hemoglobin assays a yeard (year 2012) [n (%)][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]<10−4
Yes14040(60.6)79800[EMPTY_CELL][EMPTY_CELL]
No9126(39.4)68415[EMPTY_CELL][EMPTY_CELL]
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\"bbox\": [16, 99, 53, 109]}, {\"cell\": \"2.6\", \"bbox\": [255, 99, 266, 109]}, {\"cell\": \"(0.6)\", \"bbox\": [304, 99, 319, 109]}, {\"cell\": \"2.6\", \"bbox\": [357, 99, 368, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 99, 421, 109]}, {\"cell\": \"0.48\", \"bbox\": [459, 99, 474, 109]}, {\"cell\": \" Home visits\", \"bbox\": [8, 113, 48, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Global\", \"bbox\": [16, 127, 39, 137]}, {\"cell\": \"277\", \"bbox\": [255, 127, 268, 137]}, {\"cell\": \"(260)\", \"bbox\": [304, 127, 322, 137]}, {\"cell\": \"262\", \"bbox\": [357, 127, 371, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 127, 424, 137]}, {\"cell\": \"0.28\", \"bbox\": [459, 127, 474, 137]}, {\"cell\": \"Per patient\", \"bbox\": [16, 141, 53, 151]}, {\"cell\": \"0.2\", \"bbox\": 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\"bbox\": [304, 183, 323, 193]}, {\"cell\": \"1834\", \"bbox\": [357, 183, 374, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 183, 425, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Prescriptions (year 2011)\", \"bbox\": [1, 197, 80, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Reimbursed drugs\", \"bbox\": [8, 211, 69, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Global (Euros)\", \"bbox\": [16, 225, 63, 235]}, {\"cell\": \"271339\", \"bbox\": [255, 225, 280, 235]}, {\"cell\": \"(150250)\", \"bbox\": [304, 225, 333, 235]}, {\"cell\": \"251745\", \"bbox\": [357, 225, 382, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 225, 435, 235]}, {\"cell\": \"0.01\", \"bbox\": [459, 225, 474, 235]}, {\"cell\": \"Per patient (Euros)\", \"bbox\": [16, 239, 77, 249]}, {\"cell\": \"161.2\", \"bbox\": [255, 239, 274, 249]}, {\"cell\": \"(86.1)\", \"bbox\": [304, 239, 323, 249]}, {\"cell\": \"159.9\", \"bbox\": [357, 239, 376, 249]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 239, 425, 249]}, {\"cell\": \"0.72\", \"bbox\": [459, 239, 474, 249]}, {\"cell\": \"Proportion of generics\", \"bbox\": [16, 253, 90, 263]}, {\"cell\": \"23.4 %\", \"bbox\": [255, 253, 278, 263]}, {\"cell\": \"(5.7 %)\", \"bbox\": [304, 253, 327, 263]}, {\"cell\": \"21.2 %\", \"bbox\": [357, 253, 380, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 253, 429, 263]}, {\"cell\": \"<10−4\", \"bbox\": [459, 252, 480, 263]}, {\"cell\": \" Allowances for sick leave\", \"bbox\": [8, 267, 90, 277]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": 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\"[EMPTY_CELL]\", \"bbox\": [406, 309, 425, 319]}, {\"cell\": \"<10−4\", \"bbox\": [459, 308, 480, 319]}, {\"cell\": \" Sutures\", \"bbox\": [8, 323, 34, 333]}, {\"cell\": \"3.7\", \"bbox\": [255, 323, 266, 333]}, {\"cell\": \"(7.3)\", \"bbox\": [304, 323, 319, 333]}, {\"cell\": \"4.6\", \"bbox\": [357, 323, 368, 333]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 323, 425, 333]}, {\"cell\": \"0.39\", \"bbox\": [459, 323, 474, 333]}, {\"cell\": \" Plaster casts\", \"bbox\": [8, 337, 49, 347]}, {\"cell\": \"1.0\", \"bbox\": [255, 337, 266, 347]}, {\"cell\": \"(4.0)\", \"bbox\": [304, 337, 319, 347]}, {\"cell\": \"3.4\", \"bbox\": [357, 337, 368, 347]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 337, 425, 347]}, {\"cell\": \"0.04\", \"bbox\": [459, 337, 474, 347]}, {\"cell\": \" Cervical smears\", \"bbox\": [8, 351, 60, 361]}, {\"cell\": \"1.2\", \"bbox\": [255, 351, 266, 361]}, {\"cell\": \"(3.5)\", \"bbox\": [304, 351, 319, 361]}, {\"cell\": \"0.4\", \"bbox\": [357, 351, 368, 361]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 351, 421, 361]}, {\"cell\": \"<10−4\", \"bbox\": [459, 350, 480, 361]}, {\"cell\": \"Performance indicatorsa\", \"bbox\": [1, 364, 79, 375]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Seasonal flu vaccinationb (year 2012) [n (%)]\", \"bbox\": [8, 378, 151, 389]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<10−4\", \"bbox\": [459, 378, 480, 389]}, {\"cell\": \"Yes\", \"bbox\": [16, 393, 29, 403]}, {\"cell\": \"46469\", \"bbox\": [255, 393, 276, 403]}, {\"cell\": \"(54.5)\", \"bbox\": [304, 393, 323, 403]}, {\"cell\": \"268706\", \"bbox\": [357, 393, 382, 403]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 393, 425, 403]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No\", \"bbox\": [16, 407, 28, 417]}, {\"cell\": \"38856\", \"bbox\": [255, 407, 276, 417]}, {\"cell\": \"(45.5)\", \"bbox\": [304, 407, 323, 417]}, {\"cell\": \"242377\", \"bbox\": [357, 407, 382, 417]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 407, 425, 417]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Mammogramc (years 2011–2012) [n (%)]\", \"bbox\": [8, 420, 140, 431]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<10−4\", \"bbox\": [459, 420, 480, 431]}, {\"cell\": \"Yes\", \"bbox\": [16, 435, 29, 445]}, {\"cell\": \"43746\", \"bbox\": [255, 435, 276, 445]}, {\"cell\": \"(65.5)\", \"bbox\": [304, 435, 323, 445]}, {\"cell\": \"259666\", \"bbox\": [357, 435, 382, 445]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 435, 425, 445]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No\", \"bbox\": [16, 449, 28, 459]}, {\"cell\": \"23079\", \"bbox\": [255, 449, 276, 459]}, {\"cell\": \"(34.5)\", \"bbox\": [304, 449, 323, 459]}, {\"cell\": \"151698\", \"bbox\": [357, 449, 382, 459]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 449, 425, 459]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Three or four glycated hemoglobin assays a yeard (year 2012) [n (%)]\", \"bbox\": [8, 462, 231, 473]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<10−4\", \"bbox\": [459, 462, 480, 473]}, {\"cell\": \"Yes\", \"bbox\": [16, 477, 29, 487]}, {\"cell\": \"14040\", \"bbox\": [255, 477, 276, 487]}, {\"cell\": \"(60.6)\", \"bbox\": [304, 477, 323, 487]}, {\"cell\": \"79800\", \"bbox\": [357, 477, 378, 487]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 477, 425, 487]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No\", \"bbox\": [16, 491, 28, 501]}, {\"cell\": \"9126\", \"bbox\": [255, 491, 272, 501]}, {\"cell\": \"(39.4)\", \"bbox\": [304, 491, 323, 501]}, {\"cell\": \"68415\", \"bbox\": [357, 491, 378, 501]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 491, 425, 501]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4847255_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]GroupsBaselineaWeek 4aWeek 8aWeek 12a
CTX-II (ng/mmol Cr)Test1,710±883[EMPTY_CELL]1,388±719 (−19)1,301±706 (−24)c
[EMPTY_CELL]Placebo1,265±1,096[EMPTY_CELL]1,182±884 (−7)1,056±693 (−17)
CPII (ng/ml)Test1,544±458[EMPTY_CELL]1,993±396 (29)c1,947±544 (26)c
[EMPTY_CELL]Placebo1,498±438[EMPTY_CELL]1,919±384 (28)c1,964±515 (31)c
CTX-II/CPII ratioTest1.25±0.811[EMPTY_CELL]0.74±0.45 (−41)c0.71±0.38 (−43)c
[EMPTY_CELL]Placebo0.88±0.69[EMPTY_CELL]0.65±0.47 (−26)b0.56±0.33 (−36)b
NTx (nmol BCE/mmol Cr)Test66.8±19.4[EMPTY_CELL]58.1±21.0 (−13)56.7±17.0 (−15)c
[EMPTY_CELL]Placebo60.0±30.1[EMPTY_CELL]58.0±18.9 (−3)62.1±23.0 (4)
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Groups\", \"bbox\": [137, 8, 168, 19]}, {\"cell\": \"Baselinea\", \"bbox\": [196, 7, 235, 19]}, {\"cell\": \"Week 4a\", \"bbox\": [279, 7, 314, 19]}, {\"cell\": \"Week 8a\", \"bbox\": [370, 7, 405, 19]}, {\"cell\": \"Week 12a\", \"bbox\": [458, 7, 497, 19]}, {\"cell\": \"CTX-II (ng/mmol Cr)\", \"bbox\": [0, 31, 90, 42]}, {\"cell\": \"Test\", \"bbox\": [136, 31, 154, 42]}, {\"cell\": \"1,710±883\", \"bbox\": [189, 31, 234, 42]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 31, 322, 42]}, {\"cell\": \"1,388±719 (−19)\", \"bbox\": [352, 31, 419, 42]}, {\"cell\": \"1,301±706 (−24)c\", \"bbox\": [440, 30, 510, 42]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Placebo\", \"bbox\": [135, 44, 169, 55]}, {\"cell\": \"1,265±1,096\", \"bbox\": [189, 44, 241, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 44, 332, 55]}, {\"cell\": \"1,182±884 (−7)\", \"bbox\": [352, 44, 414, 55]}, {\"cell\": \"1,056±693 (−17)\", \"bbox\": [440, 44, 507, 55]}, {\"cell\": \"CPII (ng/ml)\", \"bbox\": [0, 59, 54, 70]}, {\"cell\": \"Test\", \"bbox\": [136, 59, 154, 70]}, {\"cell\": \"1,544±458\", \"bbox\": [189, 59, 234, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 58, 327, 70]}, {\"cell\": \"1,993±396 (29)c\", \"bbox\": [352, 58, 419, 70]}, {\"cell\": \"1,947±544 (26)c\", \"bbox\": [440, 58, 507, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Placebo\", \"bbox\": [135, 72, 169, 83]}, {\"cell\": \"1,498±438\", \"bbox\": [189, 72, 234, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 71, 327, 83]}, {\"cell\": \"1,919±384 (28)c\", \"bbox\": [352, 71, 419, 83]}, {\"cell\": \"1,964±515 (31)c\", \"bbox\": [440, 71, 507, 83]}, {\"cell\": \"CTX-II/CPII ratio\", \"bbox\": [0, 87, 75, 98]}, {\"cell\": \"Test\", \"bbox\": [136, 87, 154, 98]}, {\"cell\": \"1.25±0.811\", \"bbox\": [194, 87, 241, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [265, 86, 333, 98]}, {\"cell\": \"0.74±0.45 (−41)c\", \"bbox\": [357, 86, 425, 98]}, {\"cell\": \"0.71±0.38 (−43)c\", \"bbox\": [445, 86, 513, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Placebo\", \"bbox\": [136, 100, 169, 111]}, {\"cell\": \"0.88±0.69\", \"bbox\": [194, 100, 236, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [265, 100, 325, 111]}, {\"cell\": \"0.65±0.47 (−26)b\", \"bbox\": [357, 99, 425, 111]}, {\"cell\": \"0.56±0.33 (−36)b\", \"bbox\": [445, 99, 513, 111]}, {\"cell\": \"NTx (nmol BCE/mmol Cr)\", \"bbox\": [1, 115, 111, 126]}, {\"cell\": \"Test\", \"bbox\": [136, 115, 154, 126]}, {\"cell\": \"66.8±19.4\", \"bbox\": [194, 115, 237, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [265, 115, 330, 126]}, {\"cell\": \"58.1±21.0 (−13)\", \"bbox\": [357, 115, 422, 126]}, {\"cell\": \"56.7±17.0 (−15)c\", \"bbox\": [445, 114, 513, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Placebo\", \"bbox\": [136, 128, 169, 139]}, {\"cell\": \"60.0±30.1\", \"bbox\": [194, 128, 236, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [265, 128, 322, 139]}, {\"cell\": \"58.0±18.9 (−3)\", \"bbox\": [357, 128, 417, 139]}, {\"cell\": \"62.1±23.0 (4)\", \"bbox\": [445, 128, 502, 139]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3501371_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
CovariateUnivariate OR (95% CI)Adjusted OR (95% CI)*
[EMPTY_CELL]1.28 (1.06-1.53)NS
[EMPTY_CELL]1.80 (1.34-2.40)NS
[EMPTY_CELL]1.53 (1.04-2.25)NS
[EMPTY_CELL]3.44 (2.24-5.30)2.44 (1.55-3.84)
[EMPTY_CELL]2.89 (1.96-4.24)2.16 (1.44-3.24)
[EMPTY_CELL]2.68 (1.63-4.41)NS
[EMPTY_CELL]1.63 (1.03-2.59)NS
[EMPTY_CELL]2.72 (1.64-4.50)NS
[EMPTY_CELL]4.33 (2.74-6.85)2.59 (1.58-4.23)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]ReferenceReference
[EMPTY_CELL]1.86 (1.20-2.90)1.56 (1.00-2.45)
[EMPTY_CELL]3.53 (2.12-5.87)2.41 (1.42-4.09)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]2.20 (1.40-3.46)NS
[EMPTY_CELL]1.44 (0.65-3.22)NS
[EMPTY_CELL]1.17 (1.05-1.31)1.15 (1.02-1.31)
\", \"cells\": [{\"cell\": \"Covariate\", \"bbox\": [1, 4, 35, 13]}, {\"cell\": \"Univariate OR (95% CI)\", \"bbox\": [224, 4, 305, 13]}, {\"cell\": \"Adjusted OR (95% CI)*\", \"bbox\": [404, 4, 484, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 61, 27]}, {\"cell\": \"1.28 (1.06-1.53)\", \"bbox\": [240, 17, 289, 27]}, {\"cell\": \"NS\", \"bbox\": [439, 17, 450, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 31, 79, 41]}, {\"cell\": \"1.80 (1.34-2.40)\", \"bbox\": [240, 31, 289, 41]}, {\"cell\": \"NS\", \"bbox\": [439, 31, 450, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 45, 16, 55]}, {\"cell\": \"1.53 (1.04-2.25)\", \"bbox\": [240, 45, 289, 55]}, {\"cell\": \"NS\", \"bbox\": [439, 45, 450, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 59, 21, 69]}, {\"cell\": \"3.44 (2.24-5.30)\", \"bbox\": [240, 59, 289, 69]}, {\"cell\": \"2.44 (1.55-3.84)\", \"bbox\": [420, 59, 469, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 73, 30, 83]}, {\"cell\": \"2.89 (1.96-4.24)\", \"bbox\": [240, 73, 289, 83]}, {\"cell\": \"2.16 (1.44-3.24)\", \"bbox\": [420, 73, 469, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 87, 45, 97]}, {\"cell\": \"2.68 (1.63-4.41)\", \"bbox\": [240, 87, 289, 97]}, {\"cell\": \"NS\", \"bbox\": [439, 87, 450, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 101, 59, 111]}, {\"cell\": \"1.63 (1.03-2.59)\", \"bbox\": [240, 101, 289, 111]}, {\"cell\": \"NS\", \"bbox\": [439, 101, 450, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 115, 16, 125]}, {\"cell\": \"2.72 (1.64-4.50)\", \"bbox\": [240, 115, 289, 125]}, {\"cell\": \"NS\", \"bbox\": [439, 115, 450, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 129, 26, 139]}, {\"cell\": \"4.33 (2.74-6.85)\", \"bbox\": [240, 129, 289, 139]}, {\"cell\": \"2.59 (1.58-4.23)\", \"bbox\": [420, 129, 469, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 141, 106, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 157, 15, 167]}, {\"cell\": \"Reference\", \"bbox\": [248, 157, 281, 167]}, {\"cell\": \"Reference\", \"bbox\": [428, 157, 461, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 171, 20, 181]}, {\"cell\": \"1.86 (1.20-2.90)\", \"bbox\": [240, 171, 289, 181]}, {\"cell\": \"1.56 (1.00-2.45)\", \"bbox\": [420, 171, 469, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 185, 15, 195]}, {\"cell\": \"3.53 (2.12-5.87)\", \"bbox\": [240, 185, 289, 195]}, {\"cell\": \"2.41 (1.42-4.09)\", \"bbox\": [420, 185, 469, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 199, 56, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 213, 60, 223]}, {\"cell\": \"2.20 (1.40-3.46)\", \"bbox\": [240, 213, 289, 223]}, {\"cell\": \"NS\", \"bbox\": [439, 213, 450, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 227, 69, 237]}, {\"cell\": \"1.44 (0.65-3.22)\", \"bbox\": [240, 227, 289, 237]}, {\"cell\": \"NS\", \"bbox\": [439, 227, 450, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 241, 125, 251]}, {\"cell\": \"1.17 (1.05-1.31)\", \"bbox\": [240, 241, 289, 251]}, {\"cell\": \"1.15 (1.02-1.31)\", \"bbox\": [420, 241, 469, 251]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3618209_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Variables[EMPTY_CELL]Atopy*
[EMPTY_CELL]N = 283Yes (135)No (148)OR##Adjusted OR
[EMPTY_CELL]n (%)n (%)n (%)[95% CI][95%CI]
Gender[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Female129 (45.6)57 (44.2)[EMPTY_CELL]1#1
Male154 (54.4)78 (50.6)[EMPTY_CELL]1.30 [0.81;2.07]1.30 [0.76;2.24]
Age (months)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
19 a 48137 (48.4)76 (55.5)[EMPTY_CELL]11
0 a 18146 (51.6)59 (40.4)[EMPTY_CELL]0.54 [0.34;0.87]0.64 [0.36;1.15]
Maternal literacy[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Illiterate/primary60 (21.2)32 (53.3)[EMPTY_CELL]11
Secondary incomplete129 (45.6)57 (44.2)[EMPTY_CELL]0.69 [0.37;1.28]0.84 [0.41;1. 70]
Secondary completeor more94 (33.2)46 (48.9)[EMPTY_CELL]0.84 [0.44;1.60]1.16 [0.55;2.45]
Sewer system[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Yes141 (49.8)62 (44.0)[EMPTY_CELL]11
No142 (50.2)73 (51.4)[EMPTY_CELL]1.35 [0.84;2.15]1.40 [0.82;2.37]
Trichuris eggs[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
No247 (87.3)112 (45.3)[EMPTY_CELL]11
Yes36 (12.7)23 (63.9)[EMPTY_CELL]2.13 [1.03;4.40]1.52 [0.66;3.50]
Ascaris eggs[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
No230 (81.3)108 (47.0)[EMPTY_CELL]11
Yes53 (18.7)27 (50.9)[EMPTY_CELL]1.17 [0.65;2.13]0.64 [0.30;1.39]
Anti-Ascaris IgE[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
<0.35 KU/L184 (65,0)59 (32,1)[EMPTY_CELL]11
≥0.35 KU/L99 (35,0)76 (76,8)[EMPTY_CELL]7.00 [4.00;12.25]7.29 [3.90;13.64]
Wheezing in thepast 12 months[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
No181 (64.0)80 (44.2)[EMPTY_CELL]11
Yes102 (36.0)55 (53.9)[EMPTY_CELL]1.48 [0.91;2.41]1.02 [0.57;1.80]
Days with diarrhoea[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
None50 (17.7)27 (54.0)[EMPTY_CELL]11
<6 days of duration121 (42.8)59 (48.8)[EMPTY_CELL]0.81 [0.42;1.57]0.84 [0.40;1.80]
≥6 days of duration112 (39.6)49 (43.8)[EMPTY_CELL]0.66 [0.34; 1.29]0.99 [0.44;2.24]
\", \"cells\": [{\"cell\": \"Variables\", \"bbox\": [1, 4, 34, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Atopy*\", \"bbox\": [318, 4, 344, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"N = 283\", \"bbox\": [143, 17, 173, 27]}, {\"cell\": \"Yes (135)\", \"bbox\": [208, 17, 242, 27]}, {\"cell\": \"No (148)\", \"bbox\": [278, 17, 310, 27]}, {\"cell\": \"OR\", \"bbox\": [350, 17, 362, 27]}, {\"cell\": \"##Adjusted OR\", \"bbox\": [417, 16, 469, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"n (%)\", \"bbox\": [153, 29, 173, 39]}, {\"cell\": \"n (%)\", \"bbox\": [222, 29, 242, 39]}, {\"cell\": \"n (%)\", \"bbox\": [290, 29, 310, 39]}, {\"cell\": \"[95% CI]\", \"bbox\": [340, 29, 371, 39]}, {\"cell\": \"[95%CI]\", \"bbox\": [429, 29, 457, 39]}, {\"cell\": \"Gender\", \"bbox\": [0, 42, 28, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Female\", \"bbox\": [0, 54, 25, 64]}, {\"cell\": \"129 (45.6)\", \"bbox\": [140, 54, 173, 64]}, {\"cell\": \"57 (44.2)\", \"bbox\": [213, 54, 242, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 54, 310, 64]}, {\"cell\": \"1#\", \"bbox\": [351, 53, 360, 64]}, {\"cell\": \"1\", \"bbox\": [440, 54, 446, 64]}, {\"cell\": \"Male\", \"bbox\": [1, 66, 18, 76]}, {\"cell\": \"154 (54.4)\", \"bbox\": [140, 66, 173, 76]}, {\"cell\": \"78 (50.6)\", \"bbox\": [213, 66, 242, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 66, 310, 76]}, {\"cell\": \"1.30 [0.81;2.07]\", \"bbox\": [331, 66, 380, 76]}, {\"cell\": \"1.30 [0.76;2.24]\", \"bbox\": [419, 66, 467, 76]}, {\"cell\": \"Age (months)\", \"bbox\": [1, 78, 50, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"19 a 48\", \"bbox\": [1, 90, 27, 100]}, {\"cell\": \"137 (48.4)\", \"bbox\": [140, 90, 173, 100]}, {\"cell\": \"76 (55.5)\", \"bbox\": [213, 90, 242, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 90, 310, 100]}, {\"cell\": \"1\", \"bbox\": [353, 90, 359, 100]}, {\"cell\": \"1\", \"bbox\": [440, 90, 446, 100]}, {\"cell\": \"0 a 18\", \"bbox\": [1, 102, 23, 112]}, {\"cell\": \"146 (51.6)\", \"bbox\": [140, 102, 173, 112]}, {\"cell\": \"59 (40.4)\", \"bbox\": [213, 102, 242, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 102, 310, 112]}, {\"cell\": \"0.54 [0.34;0.87]\", \"bbox\": [331, 102, 380, 112]}, {\"cell\": \"0.64 [0.36;1.15]\", \"bbox\": [419, 102, 467, 112]}, {\"cell\": \"Maternal literacy\", \"bbox\": [1, 114, 61, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Illiterate/primary\", \"bbox\": [1, 126, 54, 136]}, {\"cell\": \"60 (21.2)\", \"bbox\": [144, 126, 173, 136]}, {\"cell\": \"32 (53.3)\", \"bbox\": [213, 126, 242, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 126, 310, 136]}, {\"cell\": \"1\", \"bbox\": [353, 126, 359, 136]}, {\"cell\": \"1\", \"bbox\": [440, 126, 446, 136]}, {\"cell\": \"Secondary incomplete\", \"bbox\": [1, 138, 74, 148]}, {\"cell\": \"129 (45.6)\", \"bbox\": [140, 138, 173, 148]}, {\"cell\": \"57 (44.2)\", \"bbox\": [213, 138, 242, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 138, 310, 148]}, {\"cell\": \"0.69 [0.37;1.28]\", \"bbox\": [331, 138, 380, 148]}, {\"cell\": \"0.84 [0.41;1. 70]\", \"bbox\": [417, 138, 468, 148]}, {\"cell\": \"Secondary completeor more\", \"bbox\": [1, 150, 68, 168]}, {\"cell\": \"94 (33.2)\", \"bbox\": [144, 150, 173, 159]}, {\"cell\": \"46 (48.9)\", \"bbox\": [213, 150, 242, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 150, 310, 159]}, {\"cell\": \"0.84 [0.44;1.60]\", \"bbox\": [331, 150, 380, 159]}, {\"cell\": \"1.16 [0.55;2.45]\", \"bbox\": [419, 150, 467, 159]}, {\"cell\": \"Sewer system\", \"bbox\": [1, 171, 50, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Yes\", \"bbox\": [1, 183, 13, 192]}, {\"cell\": \"141 (49.8)\", \"bbox\": [140, 183, 173, 192]}, {\"cell\": \"62 (44.0)\", \"bbox\": [213, 183, 242, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [284, 183, 310, 192]}, {\"cell\": \"1\", \"bbox\": [353, 183, 359, 192]}, {\"cell\": \"1\", \"bbox\": [440, 183, 446, 192]}, {\"cell\": \"No\", \"bbox\": [1, 195, 12, 204]}, {\"cell\": \"142 (50.2)\", \"bbox\": [140, 195, 173, 204]}, {\"cell\": \"73 (51.4)\", \"bbox\": [213, 195, 242, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 195, 310, 204]}, {\"cell\": \"1.35 [0.84;2.15]\", \"bbox\": [331, 195, 380, 204]}, {\"cell\": \"1.40 [0.82;2.37]\", \"bbox\": [419, 195, 467, 204]}, {\"cell\": \"Trichuris eggs\", \"bbox\": [1, 207, 50, 216]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No\", \"bbox\": [1, 219, 12, 228]}, {\"cell\": \"247 (87.3)\", \"bbox\": [140, 219, 173, 228]}, {\"cell\": \"112 (45.3)\", \"bbox\": [209, 219, 242, 228]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [277, 219, 310, 228]}, {\"cell\": \"1\", \"bbox\": [353, 219, 359, 228]}, {\"cell\": \"1\", \"bbox\": [440, 219, 446, 228]}, {\"cell\": \"Yes\", \"bbox\": [1, 231, 13, 240]}, {\"cell\": \"36 (12.7)\", \"bbox\": [144, 231, 173, 240]}, {\"cell\": \"23 (63.9)\", \"bbox\": [213, 231, 242, 240]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 231, 310, 240]}, {\"cell\": \"2.13 [1.03;4.40]\", \"bbox\": [331, 231, 380, 240]}, {\"cell\": \"1.52 [0.66;3.50]\", \"bbox\": [419, 231, 467, 240]}, {\"cell\": \"Ascaris eggs\", \"bbox\": [1, 243, 45, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No\", \"bbox\": [1, 255, 12, 264]}, {\"cell\": \"230 (81.3)\", \"bbox\": [140, 255, 173, 264]}, {\"cell\": \"108 (47.0)\", \"bbox\": [209, 255, 242, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [277, 255, 310, 264]}, {\"cell\": \"1\", \"bbox\": [353, 255, 359, 264]}, {\"cell\": \"1\", \"bbox\": [440, 255, 446, 264]}, {\"cell\": \"Yes\", \"bbox\": [1, 266, 13, 276]}, {\"cell\": \"53 (18.7)\", \"bbox\": [144, 266, 173, 276]}, {\"cell\": \"27 (50.9)\", \"bbox\": [213, 266, 242, 276]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 266, 310, 276]}, {\"cell\": \"1.17 [0.65;2.13]\", \"bbox\": [331, 266, 380, 276]}, {\"cell\": \"0.64 [0.30;1.39]\", \"bbox\": [419, 266, 467, 276]}, {\"cell\": \"Anti-Ascaris IgE\", \"bbox\": [1, 279, 56, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.35 KU/L\", \"bbox\": [1, 290, 38, 300]}, {\"cell\": \"184 (65,0)\", \"bbox\": [140, 290, 173, 300]}, {\"cell\": \"59 (32,1)\", \"bbox\": [213, 290, 242, 300]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [277, 290, 310, 300]}, {\"cell\": \"1\", \"bbox\": [353, 290, 359, 300]}, {\"cell\": \"1\", \"bbox\": [440, 290, 446, 300]}, {\"cell\": \"≥0.35 KU/L\", \"bbox\": [1, 302, 38, 312]}, {\"cell\": \"99 (35,0)\", \"bbox\": [144, 302, 173, 312]}, {\"cell\": \"76 (76,8)\", \"bbox\": [213, 302, 242, 312]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 302, 310, 312]}, {\"cell\": \"7.00 [4.00;12.25]\", \"bbox\": [330, 302, 382, 312]}, {\"cell\": \"7.29 [3.90;13.64]\", \"bbox\": [417, 302, 469, 312]}, {\"cell\": \"Wheezing in thepast 12 months\", \"bbox\": [1, 314, 60, 333]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No\", \"bbox\": [1, 335, 12, 345]}, {\"cell\": \"181 (64.0)\", \"bbox\": [140, 335, 173, 345]}, {\"cell\": \"80 (44.2)\", \"bbox\": [213, 335, 242, 345]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [277, 335, 310, 345]}, {\"cell\": \"1\", \"bbox\": [353, 335, 359, 345]}, {\"cell\": \"1\", \"bbox\": [440, 335, 446, 345]}, {\"cell\": \"Yes\", \"bbox\": [1, 347, 13, 357]}, {\"cell\": \"102 (36.0)\", \"bbox\": [140, 347, 173, 357]}, {\"cell\": \"55 (53.9)\", \"bbox\": [213, 347, 242, 357]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 347, 310, 357]}, {\"cell\": \"1.48 [0.91;2.41]\", \"bbox\": [331, 347, 380, 357]}, {\"cell\": \"1.02 [0.57;1.80]\", \"bbox\": [419, 347, 467, 357]}, {\"cell\": \"Days with diarrhoea\", \"bbox\": [1, 359, 73, 369]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"None\", \"bbox\": [1, 371, 20, 381]}, {\"cell\": \"50 (17.7)\", \"bbox\": [144, 371, 173, 381]}, {\"cell\": \"27 (54.0)\", \"bbox\": [213, 371, 242, 381]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 371, 310, 381]}, {\"cell\": \"1\", \"bbox\": [353, 371, 359, 381]}, {\"cell\": \"1\", \"bbox\": [440, 371, 446, 381]}, {\"cell\": \"<6 days of duration\", \"bbox\": [1, 383, 66, 393]}, {\"cell\": \"121 (42.8)\", \"bbox\": [140, 383, 173, 393]}, {\"cell\": \"59 (48.8)\", \"bbox\": [213, 383, 242, 393]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 383, 310, 393]}, {\"cell\": \"0.81 [0.42;1.57]\", \"bbox\": [331, 383, 380, 393]}, {\"cell\": \"0.84 [0.40;1.80]\", \"bbox\": [419, 383, 467, 393]}, {\"cell\": \"≥6 days of duration\", \"bbox\": [1, 395, 66, 405]}, {\"cell\": \"112 (39.6)\", \"bbox\": [140, 395, 173, 405]}, {\"cell\": \"49 (43.8)\", \"bbox\": [213, 395, 242, 405]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 395, 310, 405]}, {\"cell\": \"0.66 [0.34; 1.29]\", \"bbox\": [330, 395, 381, 405]}, {\"cell\": \"0.99 [0.44;2.24]\", \"bbox\": [419, 395, 467, 405]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2939601_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
InsertPrimer sequenceRestriction sites/feature
GFP insert 1GGG GAATTC ATGAGTAAAGGAGAAGAACTTT[EMPTY_CELL]
[EMPTY_CELL]GGG TCTAGAGGCGGCGGC TTTGTAGAGCTCATCCATGCC[EMPTY_CELL]
GFP insert 2GCG CCGCGG TG ATGAGTAAAGGAGAAGAACTTT[EMPTY_CELL]
[EMPTY_CELL]GGG TCTAGA CC TGGACCACCACCTTTGTATAGTTCATCCATGCCA[EMPTY_CELL]
LARD0 insertGCG ATCGAT A (CCAGGT) × 5 TCGTCCCTCGGCGTGCATG[EMPTY_CELL]
[EMPTY_CELL]GCG GGTACC TCAACTGATCAGCACACCCT[EMPTY_CELL]
LARD-1 insertAC TCTAGAATTGAAGGACGA TCCATCGCCAACCTGTCG[EMPTY_CELL]
[EMPTY_CELL]GGG AAGCTT ATGAACCGCCGATAATCCGT[EMPTY_CELL]
TliA insert 1AC TCTAGAATTGAAGGACGA ATGGGTGTATTTGACTACAAGA[EMPTY_CELL]
[EMPTY_CELL]GGG AAGCTT ATGAACCGCCGATAATCCGT[EMPTY_CELL]
TliA insert 2GGG GGTACCGGAGGA ATGGTGATTTGACTACAAGA[EMPTY_CELL]
[EMPTY_CELL]GGG AAGCTT TCAACTGATCAGCACACCCT[EMPTY_CELL]
TliA insert 3GGG ATCGATGGA ATGGGTGTATTTGACTACAAGA[EMPTY_CELL]
[EMPTY_CELL]GGG GGATCC TCCTCC ACTGATCAGCACACCCTCG[EMPTY_CELL]
EGF insertGGG GAATTC ATGAATAGTGACTCTGAATGTCC[EMPTY_CELL]
[EMPTY_CELL]GGG TCTAGA GCGCAGTTCCCACCACTTC[EMPTY_CELL]
GFP-LARD0 insertGCG GGTACCCCAGGTGGT ATGACCATGATTACGCCAAG[EMPTY_CELL]
[EMPTY_CELL]TAATACGACTCACTATAGGG[EMPTY_CELL]
GFP-TliA insertCG GGTACCCCAGGT ATGAGTAAAGGAGAAGAACTTT[EMPTY_CELL]
GFP-LARD1 insertATCTTCTCTCATCCGCCAAA[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Insert\", \"bbox\": [4, 5, 29, 14]}, {\"cell\": \"Primer sequence\", \"bbox\": [88, 5, 156, 14]}, {\"cell\": \"Restriction sites/feature\", \"bbox\": [385, 5, 479, 14]}, {\"cell\": \"GFP insert 1\", \"bbox\": [4, 27, 48, 36]}, {\"cell\": \"GGG GAATTC ATGAGTAAAGGAGAAGAACTTT\", \"bbox\": [88, 27, 268, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 27, 407, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"GGG TCTAGAGGCGGCGGC TTTGTAGAGCTCATCCATGCC\", \"bbox\": [88, 37, 306, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 37, 424, 47]}, {\"cell\": \"GFP insert 2\", \"bbox\": [4, 47, 48, 57]}, {\"cell\": \"GCG CCGCGG TG ATGAGTAAAGGAGAAGAACTTT\", \"bbox\": [88, 47, 284, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 47, 402, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"GGG TCTAGA CC TGGACCACCACCTTTGTATAGTTCATCCATGCCA\", \"bbox\": [88, 57, 334, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 57, 430, 67]}, {\"cell\": \"LARD0 insert\", \"bbox\": [4, 68, 53, 77]}, {\"cell\": \"GCG ATCGAT A (CCAGGT) × 5 TCGTCCCTCGGCGTGCATG\", \"bbox\": [88, 68, 310, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 68, 459, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"GCG GGTACC TCAACTGATCAGCACACCCT\", \"bbox\": [88, 78, 259, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 78, 403, 88]}, {\"cell\": \"LARD-1 insert\", \"bbox\": [4, 88, 55, 98]}, {\"cell\": \"AC TCTAGAATTGAAGGACGA TCCATCGCCAACCTGTCG\", \"bbox\": [88, 88, 295, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 88, 422, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"GGG AAGCTT ATGAACCGCCGATAATCCGT\", \"bbox\": [88, 99, 258, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 99, 410, 108]}, {\"cell\": \"TliA insert 1\", \"bbox\": [4, 109, 48, 118]}, {\"cell\": \"AC TCTAGAATTGAAGGACGA ATGGGTGTATTTGACTACAAGA\", \"bbox\": [88, 109, 315, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 109, 422, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"GGG AAGCTT ATGAACCGCCGATAATCCGT\", \"bbox\": [88, 119, 258, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 119, 410, 129]}, {\"cell\": \"TliA insert 2\", \"bbox\": [4, 129, 48, 139]}, {\"cell\": \"GGG GGTACCGGAGGA ATGGTGATTTGACTACAAGA\", \"bbox\": [88, 129, 286, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 129, 419, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"GGG AAGCTT TCAACTGATCAGCACACCCT\", \"bbox\": [88, 140, 258, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 140, 410, 149]}, {\"cell\": \"TliA insert 3\", \"bbox\": [4, 150, 48, 159]}, {\"cell\": \"GGG ATCGATGGA ATGGGTGTATTTGACTACAAGA\", \"bbox\": [88, 150, 282, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 150, 411, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"GGG GGATCC TCCTCC ACTGATCAGCACACCCTCG\", \"bbox\": [88, 160, 290, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 160, 410, 170]}, {\"cell\": \"EGF insert\", \"bbox\": [4, 170, 42, 180]}, {\"cell\": \"GGG GAATTC ATGAATAGTGACTCTGAATGTCC\", \"bbox\": [88, 170, 273, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 170, 407, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"GGG TCTAGA GCGCAGTTCCCACCACTTC\", \"bbox\": [88, 180, 253, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 180, 403, 190]}, {\"cell\": \"GFP-LARD0 insert\", \"bbox\": [4, 191, 69, 200]}, {\"cell\": \"GCG GGTACCCCAGGTGGT ATGACCATGATTACGCCAAG\", \"bbox\": [88, 191, 301, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 191, 426, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TAATACGACTCACTATAGGG\", \"bbox\": [88, 201, 201, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 201, 408, 211]}, {\"cell\": \"GFP-TliA insert\", \"bbox\": [4, 211, 59, 221]}, {\"cell\": \"CG GGTACCCCAGGT ATGAGTAAAGGAGAAGAACTTT\", \"bbox\": [88, 211, 291, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 211, 418, 221]}, {\"cell\": \"GFP-LARD1 insert\", \"bbox\": [4, 222, 69, 231]}, {\"cell\": \"ATCTTCTCTCATCCGCCAAA\", \"bbox\": [88, 222, 200, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 222, 415, 231]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2642768_009_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Water sourceNumber examined (%)Number infected (%)Odds ratio (95 % CI)P-valueECAM (95 % CI)
Borehole463 (100)110 (23.76)1.13 (0.78–1.65)0.5052[EMPTY_CELL]
Dam174 (100)87 (50)3.63 (2.38–5.58)< 0.0001[EMPTY_CELL]
Pond120 (100)49 (40.83)2.51 (1.56–4.04)0.0001[EMPTY_CELL]
River53 (100)19 (35.85)2.03 (1.06–3.84)0.0274[EMPTY_CELL]
Stream198 (100)75 (37.88)2.22 (1.46–3.38)0.0002[EMPTY_CELL]
Well243 (100)72 (29.63)1.53 (1.02–2.32)0.0406[EMPTY_CELL]
Tap246 (100)53 (21.54)1.00 (0.65–1.54)1.0000[EMPTY_CELL]
Sachet2 (100)00–[EMPTY_CELL]
Recreational activities
Swimming237 (100)24 (10.13)1.32 (0.73–2.37)0.3523[EMPTY_CELL]
Playing in shallow water330 (100)26 (7.88)1–[EMPTY_CELL]
Swimming & playing in shallow water151 (100)84 (55.63)14.55 (8.78–24.64)< 0.0001[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Water source\", \"bbox\": [1, 4, 45, 13]}, {\"cell\": \"Number examined (%)\", \"bbox\": [135, 4, 209, 13]}, {\"cell\": \"Number infected (%)\", \"bbox\": [216, 4, 284, 13]}, {\"cell\": \"Odds ratio (95 % CI)\", \"bbox\": [291, 4, 357, 13]}, {\"cell\": \"P-value\", \"bbox\": [364, 4, 389, 13]}, {\"cell\": \"ECAM (95 % CI)\", \"bbox\": [400, 4, 452, 13]}, {\"cell\": \"Borehole\", \"bbox\": [0, 17, 31, 27]}, {\"cell\": \"463 (100)\", \"bbox\": [135, 17, 166, 27]}, {\"cell\": \"110 (23.76)\", \"bbox\": [216, 17, 252, 27]}, {\"cell\": \"1.13 (0.78–1.65)\", \"bbox\": [291, 17, 342, 27]}, {\"cell\": \"0.5052\", \"bbox\": [364, 17, 387, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [400, 17, 481, 27]}, {\"cell\": \"Dam\", \"bbox\": [0, 31, 18, 41]}, {\"cell\": \"174 (100)\", \"bbox\": [135, 31, 166, 41]}, {\"cell\": \"87 (50)\", \"bbox\": [216, 31, 239, 41]}, {\"cell\": \"3.63 (2.38–5.58)\", \"bbox\": [291, 31, 342, 41]}, {\"cell\": \"< 0.0001\", \"bbox\": [364, 31, 394, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [400, 31, 484, 41]}, {\"cell\": \"Pond\", \"bbox\": [0, 45, 19, 55]}, {\"cell\": \"120 (100)\", \"bbox\": [135, 45, 166, 55]}, {\"cell\": \"49 (40.83)\", \"bbox\": [216, 45, 248, 55]}, {\"cell\": \"2.51 (1.56–4.04)\", \"bbox\": [291, 45, 342, 55]}, {\"cell\": \"0.0001\", \"bbox\": [364, 45, 387, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [400, 45, 481, 55]}, {\"cell\": \"River\", \"bbox\": [0, 59, 18, 69]}, {\"cell\": \"53 (100)\", \"bbox\": [135, 59, 162, 69]}, {\"cell\": \"19 (35.85)\", \"bbox\": [216, 59, 248, 69]}, {\"cell\": \"2.03 (1.06–3.84)\", \"bbox\": [291, 59, 342, 69]}, {\"cell\": \"0.0274\", \"bbox\": [364, 59, 387, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [400, 59, 477, 69]}, {\"cell\": \"Stream\", \"bbox\": [0, 73, 25, 83]}, {\"cell\": \"198 (100)\", \"bbox\": [135, 73, 166, 83]}, {\"cell\": \"75 (37.88)\", \"bbox\": [216, 73, 248, 83]}, {\"cell\": \"2.22 (1.46–3.38)\", \"bbox\": [291, 73, 342, 83]}, {\"cell\": \"0.0002\", \"bbox\": [364, 73, 387, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [400, 73, 481, 83]}, {\"cell\": \"Well\", \"bbox\": [0, 87, 16, 97]}, {\"cell\": \"243 (100)\", \"bbox\": [135, 87, 166, 97]}, {\"cell\": \"72 (29.63)\", \"bbox\": [216, 87, 248, 97]}, {\"cell\": \"1.53 (1.02–2.32)\", \"bbox\": [291, 87, 342, 97]}, {\"cell\": \"0.0406\", \"bbox\": [364, 87, 387, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [400, 87, 484, 97]}, {\"cell\": \"Tap\", \"bbox\": [0, 101, 14, 111]}, {\"cell\": \"246 (100)\", \"bbox\": [135, 101, 166, 111]}, {\"cell\": \"53 (21.54)\", \"bbox\": [216, 101, 248, 111]}, {\"cell\": \"1.00 (0.65–1.54)\", \"bbox\": [291, 101, 342, 111]}, {\"cell\": \"1.0000\", \"bbox\": [364, 101, 387, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [400, 101, 477, 111]}, {\"cell\": \"Sachet\", \"bbox\": [0, 115, 24, 125]}, {\"cell\": \"2 (100)\", \"bbox\": [135, 115, 159, 125]}, {\"cell\": \"0\", \"bbox\": [216, 115, 221, 125]}, {\"cell\": \"0\", \"bbox\": [291, 115, 297, 125]}, {\"cell\": \"–\", \"bbox\": [364, 119, 370, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [400, 115, 406, 125]}, {\"cell\": \"Recreational activities\", \"bbox\": [0, 129, 71, 139]}, {\"cell\": \" Swimming\", \"bbox\": [4, 143, 41, 153]}, {\"cell\": \"237 (100)\", \"bbox\": [135, 143, 166, 153]}, {\"cell\": \"24 (10.13)\", \"bbox\": [216, 143, 248, 153]}, {\"cell\": \"1.32 (0.73–2.37)\", \"bbox\": [291, 143, 342, 153]}, {\"cell\": \"0.3523\", \"bbox\": [364, 143, 387, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [400, 143, 477, 153]}, {\"cell\": \" Playing in shallow water\", \"bbox\": [4, 157, 84, 167]}, {\"cell\": \"330 (100)\", \"bbox\": [135, 157, 166, 167]}, {\"cell\": \"26 (7.88)\", \"bbox\": [216, 157, 245, 167]}, {\"cell\": \"1\", \"bbox\": [291, 157, 297, 167]}, {\"cell\": \"–\", \"bbox\": [364, 161, 370, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [400, 157, 477, 167]}, {\"cell\": \" Swimming & playing in shallow water\", \"bbox\": [4, 171, 128, 180]}, {\"cell\": \"151 (100)\", \"bbox\": [135, 171, 166, 180]}, {\"cell\": \"84 (55.63)\", \"bbox\": [216, 171, 248, 180]}, {\"cell\": \"14.55 (8.78–24.64)\", \"bbox\": [291, 171, 350, 180]}, {\"cell\": \"< 0.0001\", \"bbox\": [364, 171, 394, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [400, 171, 484, 180]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4936285_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Loading DeviceSample SizeSurvival RateImplantation RatePregnancy Rate
Mukaida et al, 2001[8]Cryoloop[EMPTY_CELL]63%--31%
Cho, 2002 et al [21]EM grid[EMPTY_CELL]83%--34%
Reed et al, 2002[10]Cryoloop[EMPTY_CELL]100%15%--
Mukaida et al, 2003[9]Cryoloop[EMPTY_CELL]80%20%37%
Osada et al, 2003[11]Cryotop[EMPTY_CELL]99%--56%
Stehlik et al, 2005[12]Cryotop[EMPTY_CELL]100%--50%
Takahashi et al, 2005[19]Cryoloop[EMPTY_CELL]86%29%44%
Kuwayama et al, 2005[18]Cryotip[EMPTY_CELL]90%--53%
Liebermann et al, 2006[13]Cryotop[EMPTY_CELL]97%31%46%
Mukaida et al, 2008[29]Cryoloop[EMPTY_CELL]92%36%49%
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Loading Device\", \"bbox\": [134, 5, 195, 14]}, {\"cell\": \"Sample Size\", \"bbox\": [210, 5, 259, 14]}, {\"cell\": \"Survival Rate\", \"bbox\": [273, 5, 326, 14]}, {\"cell\": \"Implantation Rate\", \"bbox\": [342, 5, 414, 14]}, {\"cell\": \"Pregnancy Rate\", \"bbox\": [430, 5, 493, 14]}, {\"cell\": \"Mukaida et al, 2001[8]\", \"bbox\": [4, 27, 90, 36]}, {\"cell\": \"Cryoloop\", \"bbox\": [148, 27, 182, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [222, 27, 248, 36]}, {\"cell\": \"63%\", \"bbox\": [292, 27, 308, 36]}, {\"cell\": \"--\", \"bbox\": [374, 27, 381, 36]}, {\"cell\": \"31%\", \"bbox\": [453, 27, 469, 36]}, {\"cell\": \"Cho, 2002 et al [21]\", \"bbox\": [4, 37, 80, 47]}, {\"cell\": \"EM grid\", \"bbox\": [151, 37, 179, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [222, 37, 248, 47]}, {\"cell\": \"83%\", \"bbox\": [292, 37, 308, 47]}, {\"cell\": \"--\", \"bbox\": [374, 37, 381, 47]}, {\"cell\": \"34%\", \"bbox\": [453, 37, 469, 47]}, {\"cell\": \"Reed et al, 2002[10]\", \"bbox\": [4, 47, 81, 57]}, {\"cell\": \"Cryoloop\", \"bbox\": [148, 47, 182, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [222, 47, 248, 57]}, {\"cell\": \"100%\", \"bbox\": [290, 47, 310, 57]}, {\"cell\": \"15%\", \"bbox\": [370, 47, 386, 57]}, {\"cell\": \"--\", \"bbox\": [458, 47, 465, 57]}, {\"cell\": \"Mukaida et al, 2003[9]\", \"bbox\": [4, 58, 90, 67]}, {\"cell\": \"Cryoloop\", \"bbox\": [148, 58, 182, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 58, 250, 67]}, {\"cell\": \"80%\", \"bbox\": [292, 58, 308, 67]}, {\"cell\": \"20%\", \"bbox\": [370, 58, 386, 67]}, {\"cell\": \"37%\", \"bbox\": [453, 58, 469, 67]}, {\"cell\": \"Osada et al, 2003[11]\", \"bbox\": [4, 68, 86, 77]}, {\"cell\": \"Cryotop\", \"bbox\": [150, 68, 180, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 68, 250, 77]}, {\"cell\": \"99%\", \"bbox\": [292, 68, 308, 77]}, {\"cell\": \"--\", \"bbox\": [374, 68, 381, 77]}, {\"cell\": \"56%\", \"bbox\": [453, 68, 469, 77]}, {\"cell\": \"Stehlik et al, 2005[12]\", \"bbox\": [4, 78, 88, 88]}, {\"cell\": \"Cryotop\", \"bbox\": [150, 78, 180, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [222, 78, 248, 88]}, {\"cell\": \"100%\", \"bbox\": [290, 78, 310, 88]}, {\"cell\": \"--\", \"bbox\": [374, 78, 381, 88]}, {\"cell\": \"50%\", \"bbox\": [453, 78, 469, 88]}, {\"cell\": \"Takahashi et al, 2005[19]\", \"bbox\": [4, 88, 100, 98]}, {\"cell\": \"Cryoloop\", \"bbox\": [148, 88, 182, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 88, 252, 98]}, {\"cell\": \"86%\", \"bbox\": [292, 88, 308, 98]}, {\"cell\": \"29%\", \"bbox\": [370, 88, 386, 98]}, {\"cell\": \"44%\", \"bbox\": [453, 88, 469, 98]}, {\"cell\": \"Kuwayama et al, 2005[18]\", \"bbox\": [4, 99, 104, 108]}, {\"cell\": \"Cryotip\", \"bbox\": [151, 99, 179, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 99, 252, 108]}, {\"cell\": \"90%\", \"bbox\": [292, 99, 308, 108]}, {\"cell\": \"--\", \"bbox\": [374, 99, 381, 108]}, {\"cell\": \"53%\", \"bbox\": [453, 99, 469, 108]}, {\"cell\": \"Liebermann et al, 2006[13]\", \"bbox\": [4, 109, 108, 118]}, {\"cell\": \"Cryotop\", \"bbox\": [150, 109, 180, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 109, 250, 118]}, {\"cell\": \"97%\", \"bbox\": [292, 109, 308, 118]}, {\"cell\": \"31%\", \"bbox\": [370, 109, 386, 118]}, {\"cell\": \"46%\", \"bbox\": [453, 109, 469, 118]}, {\"cell\": \"Mukaida et al, 2008[29]\", \"bbox\": [4, 119, 94, 129]}, {\"cell\": \"Cryoloop\", \"bbox\": [148, 119, 182, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [217, 119, 252, 129]}, {\"cell\": \"92%\", \"bbox\": [292, 119, 308, 129]}, {\"cell\": \"36%\", \"bbox\": [370, 119, 386, 129]}, {\"cell\": \"49%\", \"bbox\": [453, 119, 469, 129]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2757025_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Experimental groupControl groupRR/mean differencep-value
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL](95% CI)[EMPTY_CELL]
[EMPTY_CELL]n = 500n = 502[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]n (%)n (%)[EMPTY_CELL][EMPTY_CELL]
Blood loss[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
0-499 ml207 (41.4)[EMPTY_CELL]1.0 Ref.[EMPTY_CELL]
500-999 ml214 (42.8)[EMPTY_CELL]1.20 (1.03-1.41)0. 007
1000-1499 ml44 (8.8)[EMPTY_CELL]1.13 (0.94-1.47)0. 225
1500 ml or above32 (6.4)[EMPTY_CELL]1.1 (0. 84-1.42)0. 622
Mean blood loss in ml. (SD)652 (± 444)[EMPTY_CELL]45.90. 109
Manuel removal of placenta*13 (2.6)[EMPTY_CELL]0.90 (0.59-1.35)0. 579
Blood transfusion*19 (3.8)[EMPTY_CELL]0.93 (0.66-1.29)0. 641
Hb 36-48 hours postpartum g/l (SD)111 (±16)[EMPTY_CELL]- 1, 9330. 101
Hb 8-12 week postpartum, g/l (SD)112 (±48)[EMPTY_CELL]0. 7570. 900
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Experimental group\", \"bbox\": [162, 4, 233, 13]}, {\"cell\": \"Control group\", \"bbox\": [263, 4, 314, 13]}, {\"cell\": \"RR/mean difference\", \"bbox\": [344, 4, 414, 13]}, {\"cell\": \"p-value\", \"bbox\": [444, 4, 472, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"(95% CI)\", \"bbox\": [364, 16, 395, 25]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"n = 500\", \"bbox\": [183, 28, 212, 37]}, {\"cell\": \"n = 502\", \"bbox\": [274, 28, 303, 37]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"n (%)\", \"bbox\": [188, 40, 208, 49]}, {\"cell\": \"n (%)\", \"bbox\": [279, 40, 299, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Blood loss\", \"bbox\": [1, 53, 38, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0-499 ml\", \"bbox\": [1, 65, 31, 74]}, {\"cell\": \"207 (41.4)\", \"bbox\": [180, 65, 216, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [271, 65, 307, 74]}, {\"cell\": \"1.0 Ref.\", \"bbox\": [365, 65, 393, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"500-999 ml\", \"bbox\": [1, 77, 38, 86]}, {\"cell\": \"214 (42.8)\", \"bbox\": [180, 77, 216, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [271, 77, 307, 86]}, {\"cell\": \"1.20 (1.03-1.41)\", \"bbox\": [351, 77, 407, 86]}, {\"cell\": \"0. 007\", \"bbox\": [446, 77, 469, 86]}, {\"cell\": \"1000-1499 ml\", \"bbox\": [1, 89, 46, 98]}, {\"cell\": \"44 (8.8)\", \"bbox\": [184, 89, 212, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [275, 89, 303, 98]}, {\"cell\": \"1.13 (0.94-1.47)\", \"bbox\": [351, 89, 407, 98]}, {\"cell\": \"0. 225\", \"bbox\": [446, 89, 469, 98]}, {\"cell\": \"1500 ml or above\", \"bbox\": [1, 101, 60, 110]}, {\"cell\": \"32 (6.4)\", \"bbox\": [184, 101, 212, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [275, 101, 303, 110]}, {\"cell\": \"1.1 (0. 84-1.42)\", \"bbox\": [352, 101, 406, 110]}, {\"cell\": \"0. 622\", \"bbox\": [446, 101, 469, 110]}, {\"cell\": \"Mean blood loss in ml. (SD)\", \"bbox\": [1, 125, 99, 134]}, {\"cell\": \"652 (± 444)\", \"bbox\": [177, 125, 219, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [268, 125, 310, 134]}, {\"cell\": \"45.9\", \"bbox\": [371, 125, 387, 134]}, {\"cell\": \"0. 109\", \"bbox\": [446, 125, 469, 134]}, {\"cell\": \"Manuel removal of placenta*\", \"bbox\": [1, 149, 104, 158]}, {\"cell\": \"13 (2.6)\", \"bbox\": [184, 149, 212, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [275, 149, 303, 158]}, {\"cell\": \"0.90 (0.59-1.35)\", \"bbox\": [351, 149, 407, 158]}, {\"cell\": \"0. 579\", \"bbox\": [446, 149, 469, 158]}, {\"cell\": \"Blood transfusion*\", \"bbox\": [1, 173, 67, 182]}, {\"cell\": \"19 (3.8)\", \"bbox\": [184, 173, 212, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [275, 173, 303, 182]}, {\"cell\": \"0.93 (0.66-1.29)\", \"bbox\": [351, 173, 407, 182]}, {\"cell\": \"0. 641\", \"bbox\": [446, 173, 469, 182]}, {\"cell\": \"Hb 36-48 hours postpartum g/l (SD)\", \"bbox\": [1, 196, 120, 206]}, {\"cell\": \"111 (±16)\", \"bbox\": [180, 196, 215, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [271, 196, 306, 206]}, {\"cell\": \"- 1, 933\", \"bbox\": [365, 196, 393, 206]}, {\"cell\": \"0. 101\", \"bbox\": [446, 196, 469, 206]}, {\"cell\": \"Hb 8-12 week postpartum, g/l (SD)\", \"bbox\": [0, 208, 116, 218]}, {\"cell\": \"112 (±48)\", \"bbox\": [180, 208, 215, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [271, 208, 306, 218]}, {\"cell\": \"0. 757\", \"bbox\": [367, 208, 391, 218]}, {\"cell\": \"0. 900\", \"bbox\": [446, 208, 469, 218]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3071335_004_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]nmean (SD) or %[EMPTY_CELL]univariatemultivariate
[EMPTY_CELL]D[EMPTY_CELL]DNDP*OR (CI)OR (CI)
admission via emergency room60/118[EMPTY_CELL]51%46%0.221.22 (0.79 to 1.88)[EMPTY_CELL]
admission via transfer36/118[EMPTY_CELL]31%18%0.0061.98 (1.20 to 3.28)[EMPTY_CELL]
open room in intensive care52/149[EMPTY_CELL]35%27%0.0551.43 (0.95 to 2.15)[EMPTY_CELL]
isolation16/155[EMPTY_CELL]10%3%0.0013.74 (1.69 to 8.25)2.89 (1.00 to 8.36)
no visible daylight70/155[EMPTY_CELL]45%32%0.0031.75 (1.19 to 2.56)2.39 (1.28 to 4.45)
no clock present or visible19/155[EMPTY_CELL]12%10%0.2431.29 (0.71 to 2.33)[EMPTY_CELL]
number of visitors88[EMPTY_CELL]2.4 (1.9)2.5 (2.0)0.700.97 (0.85 to 1.11)[EMPTY_CELL]
no visit27/96[EMPTY_CELL]28%12%0.0012.83 (1.50 to 5.36)3.73 (1.75 to 7.93)
physical restraints25/66[EMPTY_CELL]38%2%<0.00133.84 (11.19 to 102.36)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"n\", \"bbox\": [160, 9, 166, 19]}, {\"cell\": \"mean (SD) or %\", \"bbox\": [215, 9, 272, 19]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"univariate\", \"bbox\": [323, 9, 358, 19]}, {\"cell\": \"multivariate\", \"bbox\": [424, 9, 464, 19]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"D\", \"bbox\": [138, 25, 146, 35]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 25, 188, 35]}, {\"cell\": \"D\", \"bbox\": [232, 25, 240, 35]}, {\"cell\": \"ND\", \"bbox\": [267, 25, 281, 35]}, {\"cell\": \"P*\", \"bbox\": [287, 25, 297, 35]}, {\"cell\": \"OR (CI)\", \"bbox\": [323, 25, 352, 35]}, {\"cell\": \"OR (CI)\", \"bbox\": [424, 25, 452, 35]}, {\"cell\": \"admission via emergency room\", \"bbox\": [5, 44, 111, 54]}, {\"cell\": \"60/118\", \"bbox\": [128, 44, 156, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 44, 198, 54]}, {\"cell\": \"51%\", \"bbox\": [222, 44, 240, 54]}, {\"cell\": \"46%\", \"bbox\": [262, 44, 281, 54]}, {\"cell\": \"0.22\", \"bbox\": [287, 44, 305, 54]}, {\"cell\": \"1.22 (0.79 to 1.88)\", \"bbox\": [323, 44, 391, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"admission via transfer\", \"bbox\": [5, 63, 80, 73]}, {\"cell\": \"36/118\", \"bbox\": [128, 63, 156, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [168, 63, 196, 73]}, {\"cell\": \"31%\", \"bbox\": [222, 63, 240, 73]}, {\"cell\": \"18%\", \"bbox\": [262, 63, 281, 73]}, {\"cell\": \"0.006\", \"bbox\": [287, 63, 309, 73]}, {\"cell\": \"1.98 (1.20 to 3.28)\", \"bbox\": [323, 63, 391, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"open room in intensive care\", \"bbox\": [5, 82, 100, 92]}, {\"cell\": \"52/149\", \"bbox\": [128, 82, 156, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [167, 82, 195, 92]}, {\"cell\": \"35%\", \"bbox\": [222, 82, 240, 92]}, {\"cell\": \"27%\", \"bbox\": [262, 82, 281, 92]}, {\"cell\": \"0.055\", \"bbox\": [287, 82, 309, 92]}, {\"cell\": \"1.43 (0.95 to 2.15)\", \"bbox\": [323, 82, 391, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"isolation\", \"bbox\": [5, 101, 35, 111]}, {\"cell\": \"16/155\", \"bbox\": [128, 101, 156, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [168, 101, 195, 111]}, {\"cell\": \"10%\", \"bbox\": [222, 101, 240, 111]}, {\"cell\": \"3%\", \"bbox\": [267, 101, 281, 111]}, {\"cell\": \"0.001\", \"bbox\": [287, 101, 309, 111]}, {\"cell\": \"3.74 (1.69 to 8.25)\", \"bbox\": [323, 101, 391, 111]}, {\"cell\": \"2.89 (1.00 to 8.36)\", \"bbox\": [424, 101, 491, 111]}, {\"cell\": \"no visible daylight\", \"bbox\": [5, 120, 67, 130]}, {\"cell\": \"70/155\", \"bbox\": [128, 120, 156, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 120, 198, 130]}, {\"cell\": \"45%\", \"bbox\": [222, 120, 240, 130]}, {\"cell\": \"32%\", \"bbox\": [262, 120, 281, 130]}, {\"cell\": \"0.003\", \"bbox\": [287, 120, 309, 130]}, {\"cell\": \"1.75 (1.19 to 2.56)\", \"bbox\": [323, 120, 391, 130]}, {\"cell\": \"2.39 (1.28 to 4.45)\", \"bbox\": [424, 120, 491, 130]}, {\"cell\": \"no clock present or visible\", \"bbox\": [5, 139, 95, 148]}, {\"cell\": \"19/155\", \"bbox\": [128, 139, 156, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [168, 139, 195, 148]}, {\"cell\": \"12%\", \"bbox\": [222, 139, 240, 148]}, {\"cell\": \"10%\", \"bbox\": [262, 139, 281, 148]}, {\"cell\": \"0.243\", \"bbox\": [287, 139, 309, 148]}, {\"cell\": \"1.29 (0.71 to 2.33)\", \"bbox\": [323, 139, 391, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"number of visitors\", \"bbox\": [5, 157, 67, 167]}, {\"cell\": \"88\", \"bbox\": [136, 157, 148, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [173, 157, 189, 167]}, {\"cell\": \"2.4 (1.9)\", \"bbox\": [209, 157, 240, 167]}, {\"cell\": \"2.5 (2.0)\", \"bbox\": [249, 157, 281, 167]}, {\"cell\": \"0.70\", \"bbox\": [287, 157, 305, 167]}, {\"cell\": \"0.97 (0.85 to 1.11)\", \"bbox\": [323, 157, 391, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"no visit\", \"bbox\": [5, 176, 30, 186]}, {\"cell\": \"27/96\", \"bbox\": [131, 176, 154, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [168, 176, 195, 186]}, {\"cell\": \"28%\", \"bbox\": [222, 176, 240, 186]}, {\"cell\": \"12%\", \"bbox\": [262, 176, 281, 186]}, {\"cell\": \"0.001\", \"bbox\": [287, 176, 309, 186]}, {\"cell\": \"2.83 (1.50 to 5.36)\", \"bbox\": [323, 176, 391, 186]}, {\"cell\": \"3.73 (1.75 to 7.93)\", \"bbox\": [424, 176, 491, 186]}, {\"cell\": \"physical restraints\", \"bbox\": [5, 195, 68, 205]}, {\"cell\": \"25/66\", \"bbox\": [130, 195, 154, 205]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 195, 193, 205]}, {\"cell\": \"38%\", \"bbox\": [222, 195, 240, 205]}, {\"cell\": \"2%\", \"bbox\": [267, 195, 281, 205]}, {\"cell\": \"<0.001\", \"bbox\": [287, 195, 315, 205]}, {\"cell\": \"33.84 (11.19 to 102.36)\", \"bbox\": [323, 195, 410, 205]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2717440_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
ParticipantSingle words TILTAN screeningPotentiophones
[EMPTY_CELL]%CorrectSurface errors%CorrectSurface errors
ACQUIRED ANOMIA
DAN[EMPTY_CELL]16***58%***32***
YOS[EMPTY_CELL]8***81%***12***
ZAB[EMPTY_CELL]6***72%***17***
BAR[EMPTY_CELL]4**82%***14***
LER[EMPTY_CELL]12***51%***25***
ARI[EMPTY_CELL]25***60%***31***
NAV[EMPTY_CELL]8***87%***10**
DOR[EMPTY_CELL]12***83%***15***
DEVELOPMENTAL ANOMIA
LEO[EMPTY_CELL]7***78%***17***
TAF[EMPTY_CELL]27***51%***37***
AFI[EMPTY_CELL]279%*16*
ARO[EMPTY_CELL]64***[EMPTY_CELL][EMPTY_CELL]
MAD[EMPTY_CELL]17***53%***36***
SAN[EMPTY_CELL]9***[EMPTY_CELL][EMPTY_CELL]
NIV[EMPTY_CELL]12***[EMPTY_CELL][EMPTY_CELL]
SHL[EMPTY_CELL]12***[EMPTY_CELL][EMPTY_CELL]
Control groups M (SD)
Adults, 12 years education and aboveN = 372[EMPTY_CELL]1.1 (1.2)94.7% (3.6)3.7 (2.7)
7th grade controlN = 26[EMPTY_CELL]3.2 (1.7)90.4% (4.6)7.1 (3.7)
5th grade controlN = 14[EMPTY_CELL]2.7 (1.9)88.8% (6.7)8.4 (5.0)
4th grade controlN = 20[EMPTY_CELL]7.2 (5.1)[EMPTY_CELL][EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Participant\", \"bbox\": [1, 6, 39, 15]}, {\"cell\": \"Single words TILTAN screening\", \"bbox\": [64, 6, 169, 15]}, {\"cell\": \"Potentiophones\", \"bbox\": [185, 6, 239, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"%Correct\", \"bbox\": [62, 23, 96, 31]}, {\"cell\": \"Surface errors\", \"bbox\": [123, 23, 151, 43]}, {\"cell\": \"%Correct\", \"bbox\": [177, 23, 212, 31]}, {\"cell\": \"Surface errors\", \"bbox\": [219, 23, 246, 43]}, {\"cell\": \"ACQUIRED ANOMIA\", \"bbox\": [2, 53, 71, 62]}, {\"cell\": \"DAN\", \"bbox\": [1, 64, 17, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [67, 64, 91, 72]}, {\"cell\": \"16***\", \"bbox\": [128, 64, 145, 72]}, {\"cell\": \"58%***\", \"bbox\": [183, 64, 206, 72]}, {\"cell\": \"32***\", \"bbox\": [224, 64, 241, 72]}, {\"cell\": \"YOS\", \"bbox\": [1, 75, 16, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [67, 75, 91, 83]}, {\"cell\": \"8***\", \"bbox\": [130, 75, 143, 83]}, {\"cell\": \"81%***\", \"bbox\": [183, 75, 206, 83]}, {\"cell\": \"12***\", \"bbox\": [224, 75, 241, 83]}, {\"cell\": \"ZAB\", \"bbox\": [1, 85, 16, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [67, 85, 91, 94]}, {\"cell\": \"6***\", \"bbox\": [130, 85, 143, 94]}, {\"cell\": \"72%***\", \"bbox\": [183, 85, 206, 94]}, {\"cell\": \"17***\", \"bbox\": [224, 85, 241, 94]}, {\"cell\": \"BAR\", \"bbox\": [1, 96, 16, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [67, 96, 91, 105]}, {\"cell\": \"4**\", \"bbox\": [131, 96, 142, 105]}, {\"cell\": \"82%***\", \"bbox\": [183, 96, 206, 105]}, {\"cell\": \"14***\", \"bbox\": [224, 96, 241, 105]}, {\"cell\": \"LER\", \"bbox\": [1, 107, 15, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [67, 107, 91, 115]}, {\"cell\": \"12***\", \"bbox\": [128, 107, 145, 115]}, {\"cell\": \"51%***\", \"bbox\": [183, 107, 206, 115]}, {\"cell\": \"25***\", \"bbox\": [224, 107, 241, 115]}, {\"cell\": \"ARI\", \"bbox\": [1, 118, 13, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [67, 118, 91, 126]}, {\"cell\": \"25***\", \"bbox\": [128, 118, 145, 126]}, {\"cell\": \"60%***\", \"bbox\": [183, 118, 206, 126]}, {\"cell\": \"31***\", \"bbox\": [224, 118, 241, 126]}, {\"cell\": \"NAV\", \"bbox\": [1, 128, 16, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [67, 128, 91, 137]}, {\"cell\": \"8***\", \"bbox\": [130, 128, 143, 137]}, {\"cell\": \"87%***\", \"bbox\": [183, 128, 206, 137]}, {\"cell\": \"10**\", \"bbox\": [225, 128, 240, 137]}, {\"cell\": \"DOR\", \"bbox\": [1, 139, 17, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [67, 139, 91, 148]}, {\"cell\": \"12***\", \"bbox\": [128, 139, 145, 148]}, {\"cell\": \"83%***\", \"bbox\": [183, 139, 206, 148]}, {\"cell\": \"15***\", \"bbox\": [224, 139, 241, 148]}, {\"cell\": \"DEVELOPMENTAL ANOMIA\", \"bbox\": [2, 150, 96, 158]}, {\"cell\": \"LEO\", \"bbox\": [1, 161, 16, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [67, 161, 91, 169]}, {\"cell\": \"7***\", \"bbox\": [130, 161, 143, 169]}, {\"cell\": \"78%***\", \"bbox\": [183, 161, 206, 169]}, {\"cell\": \"17***\", \"bbox\": [224, 161, 241, 169]}, {\"cell\": \"TAF\", \"bbox\": [1, 171, 14, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [67, 171, 91, 180]}, {\"cell\": \"27***\", \"bbox\": [128, 171, 145, 180]}, {\"cell\": \"51%***\", \"bbox\": [183, 171, 206, 180]}, {\"cell\": \"37***\", \"bbox\": [224, 171, 241, 180]}, {\"cell\": \"AFI\", \"bbox\": [1, 182, 12, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [71, 182, 87, 191]}, {\"cell\": \"2\", \"bbox\": [134, 182, 140, 191]}, {\"cell\": \"79%*\", \"bbox\": [185, 182, 204, 191]}, {\"cell\": \"16*\", \"bbox\": [226, 182, 238, 191]}, {\"cell\": \"ARO\", \"bbox\": [1, 193, 17, 201]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [67, 193, 91, 201]}, {\"cell\": \"64***\", \"bbox\": [128, 193, 145, 201]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"MAD\", \"bbox\": [0, 204, 17, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [67, 204, 91, 212]}, {\"cell\": \"17***\", \"bbox\": [128, 204, 145, 212]}, {\"cell\": \"53%***\", \"bbox\": [183, 204, 206, 212]}, {\"cell\": \"36***\", \"bbox\": [224, 204, 241, 212]}, {\"cell\": \"SAN\", \"bbox\": [1, 214, 16, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [67, 214, 91, 223]}, {\"cell\": \"9***\", \"bbox\": [130, 214, 143, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"NIV\", \"bbox\": [1, 225, 13, 234]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [67, 225, 91, 234]}, {\"cell\": \"12***\", \"bbox\": [128, 225, 145, 234]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"SHL\", \"bbox\": [1, 236, 16, 244]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [67, 236, 91, 244]}, {\"cell\": \"12***\", \"bbox\": [128, 236, 145, 244]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Control groups M (SD)\", \"bbox\": [2, 247, 77, 255]}, {\"cell\": \"Adults, 12 years education and aboveN = 372\", \"bbox\": [1, 257, 51, 294]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [61, 257, 97, 266]}, {\"cell\": \"1.1 (1.2)\", \"bbox\": [123, 257, 150, 266]}, {\"cell\": \"94.7% (3.6)\", \"bbox\": [176, 257, 213, 266]}, {\"cell\": \"3.7 (2.7)\", \"bbox\": [219, 257, 246, 266]}, {\"cell\": \"7th grade controlN = 26\", \"bbox\": [1, 296, 54, 314]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [61, 296, 97, 305]}, {\"cell\": \"3.2 (1.7)\", \"bbox\": [123, 296, 150, 305]}, {\"cell\": \"90.4% (4.6)\", \"bbox\": [176, 296, 213, 305]}, {\"cell\": \"7.1 (3.7)\", \"bbox\": [219, 296, 246, 305]}, {\"cell\": \"5th grade controlN = 14\", \"bbox\": [1, 317, 54, 335]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [61, 317, 97, 325]}, {\"cell\": \"2.7 (1.9)\", \"bbox\": [123, 317, 150, 325]}, {\"cell\": \"88.8% (6.7)\", \"bbox\": [176, 317, 213, 325]}, {\"cell\": \"8.4 (5.0)\", \"bbox\": [219, 317, 246, 325]}, {\"cell\": \"4th grade controlN = 20\", \"bbox\": [1, 337, 54, 355]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [61, 337, 97, 345]}, {\"cell\": \"7.2 (5.1)\", \"bbox\": [123, 337, 150, 345]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4811952_011_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Improving the processDHS (n) %ACCHS (n) %Uptake of economic evaluationDHS (n) %ACCHS (n) %
Better data and evidence(21) 81%(15) 63%Up-skilling of staff[EMPTY_CELL](12) 50
Longer term view(14) 54%(15) 63%Better data from studies[EMPTY_CELL](10) 42%
Mechanism for shifting resources across programs required(9) 35%(4) 17%Longer term view taken[EMPTY_CELL](9) 38%
Systematic process of priority setting(8) 31%(9) 38%Better communication strategy[EMPTY_CELL](8) 33%
More explicit/transparent methods(7) 27%(8) 33%More education on the credibility of economic evaluation[EMPTY_CELL](7) 29%
Examining the margin when choosing to reduce or increase resources or activity(2) 8%1 (4%)Timely data from decision-makers[EMPTY_CELL](7) 29%
Less political influence(2) 8%(3) 13%Transparent economic models[EMPTY_CELL](6) 25%
\", \"cells\": [{\"cell\": \"Improving the process\", \"bbox\": [1, 4, 81, 13]}, {\"cell\": \"DHS (n) %\", \"bbox\": [186, 4, 224, 13]}, {\"cell\": \"ACCHS (n) %\", \"bbox\": [229, 4, 275, 13]}, {\"cell\": \"Uptake of economic evaluation\", \"bbox\": [280, 4, 391, 13]}, {\"cell\": \"DHS (n) %\", \"bbox\": [396, 4, 433, 13]}, {\"cell\": \"ACCHS (n) %\", \"bbox\": [438, 4, 484, 13]}, {\"cell\": \"Better data and evidence\", \"bbox\": [1, 17, 83, 27]}, {\"cell\": \"(21) 81%\", \"bbox\": [186, 17, 216, 27]}, {\"cell\": \"(15) 63%\", \"bbox\": [229, 17, 258, 27]}, {\"cell\": \"Up-skilling of staff\", \"bbox\": [280, 17, 339, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [396, 17, 425, 27]}, {\"cell\": \"(12) 50\", \"bbox\": [438, 17, 462, 27]}, {\"cell\": \"Longer term view\", \"bbox\": [1, 31, 60, 41]}, {\"cell\": \"(14) 54%\", \"bbox\": [186, 31, 216, 41]}, {\"cell\": \"(15) 63%\", \"bbox\": [229, 31, 258, 41]}, {\"cell\": \"Better data from studies\", \"bbox\": [280, 31, 359, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [396, 31, 425, 41]}, {\"cell\": \"(10) 42%\", \"bbox\": [438, 31, 468, 41]}, {\"cell\": \"Mechanism for shifting resources across programs required\", \"bbox\": [1, 45, 181, 55]}, {\"cell\": \"(9) 35%\", \"bbox\": [186, 45, 212, 55]}, {\"cell\": \"(4) 17%\", \"bbox\": [229, 45, 255, 55]}, {\"cell\": \"Longer term view taken\", \"bbox\": [280, 45, 359, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [396, 45, 425, 55]}, {\"cell\": \"(9) 38%\", \"bbox\": [438, 45, 464, 55]}, {\"cell\": \"Systematic process of priority setting\", \"bbox\": [1, 59, 121, 69]}, {\"cell\": \"(8) 31%\", \"bbox\": [186, 59, 212, 69]}, {\"cell\": \"(9) 38%\", \"bbox\": [229, 59, 255, 69]}, {\"cell\": \"Better communication strategy\", \"bbox\": [280, 59, 381, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [396, 59, 425, 69]}, {\"cell\": \"(8) 33%\", \"bbox\": [438, 59, 464, 69]}, {\"cell\": \"More explicit/transparent methods\", \"bbox\": [1, 73, 114, 83]}, {\"cell\": \"(7) 27%\", \"bbox\": [186, 73, 212, 83]}, {\"cell\": \"(8) 33%\", \"bbox\": [229, 73, 255, 83]}, {\"cell\": \"More education on the credibility of economic evaluation\", \"bbox\": [280, 73, 390, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [396, 73, 425, 83]}, {\"cell\": \"(7) 29%\", \"bbox\": [438, 73, 464, 83]}, {\"cell\": \"Examining the margin when choosing to reduce or increase resources or activity\", \"bbox\": [0, 96, 168, 115]}, {\"cell\": \"(2) 8%\", \"bbox\": [186, 96, 208, 106]}, {\"cell\": \"1 (4%)\", \"bbox\": [229, 96, 251, 106]}, {\"cell\": \"Timely data from decision-makers\", \"bbox\": [280, 96, 390, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [396, 96, 425, 106]}, {\"cell\": \"(7) 29%\", \"bbox\": [438, 96, 464, 106]}, {\"cell\": \"Less political influence\", \"bbox\": [0, 119, 74, 129]}, {\"cell\": \"(2) 8%\", \"bbox\": [186, 119, 208, 129]}, {\"cell\": \"(3) 13%\", \"bbox\": [229, 119, 255, 129]}, {\"cell\": \"Transparent economic models\", \"bbox\": [280, 119, 379, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [396, 119, 422, 129]}, {\"cell\": \"(6) 25%\", \"bbox\": [438, 119, 464, 129]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4065599_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Coordinate axesCombinedManual coronalManual axialStereonauta coronalStereonauta axialAtlas based
X[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Mean0.662.632.652.872.68[EMPTY_CELL]
Range of 95% CI0.51-0.811.35-3.91.39-3.91.54-4.21.4-3.9[EMPTY_CELL]
SE0.070.640.630.660.62[EMPTY_CELL]
Y[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Mean1.072.061.521.501.60[EMPTY_CELL]
Range of 95% CI0.91-1.231.75-2.371.2-181.21-1.781.29-1.92[EMPTY_CELL]
SE0.080.150.160.140.15[EMPTY_CELL]
Z[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Mean1.011.551.481.261.53[EMPTY_CELL]
Range of 95% CI0.85-1.181.17-1.921.13-1.820.98-1.541.05-2.01[EMPTY_CELL]
SE0.080.180.170.130.24[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Coordinate axes\", \"bbox\": [7, 8, 78, 21]}, {\"cell\": \"Combined\", \"bbox\": [115, 8, 162, 21]}, {\"cell\": \"Manual coronal\", \"bbox\": [185, 2, 220, 27]}, {\"cell\": \"Manual axial\", \"bbox\": [249, 2, 285, 27]}, {\"cell\": \"Stereonauta coronal\", \"bbox\": [307, 2, 361, 27]}, {\"cell\": \"Stereonauta axial\", \"bbox\": [381, 2, 435, 27]}, {\"cell\": \"Atlas based\", \"bbox\": [462, 2, 489, 27]}, {\"cell\": \"X\", \"bbox\": [7, 27, 16, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Mean\", \"bbox\": [21, 39, 46, 52]}, {\"cell\": \"0.66\", \"bbox\": [129, 39, 148, 52]}, {\"cell\": \"2.63\", \"bbox\": [193, 39, 212, 52]}, {\"cell\": \"2.65\", \"bbox\": [257, 39, 277, 52]}, {\"cell\": \"2.87\", \"bbox\": [324, 39, 344, 52]}, {\"cell\": \"2.68\", \"bbox\": [398, 39, 418, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 39, 483, 52]}, {\"cell\": \"Range of 95% CI\", \"bbox\": [21, 52, 92, 65]}, {\"cell\": \"0.51-0.81\", \"bbox\": [118, 52, 159, 65]}, {\"cell\": \"1.35-3.9\", \"bbox\": [185, 52, 220, 65]}, {\"cell\": \"1.39-3.9\", \"bbox\": [249, 52, 285, 65]}, {\"cell\": \"1.54-4.2\", \"bbox\": [316, 52, 352, 65]}, {\"cell\": \"1.4-3.9\", \"bbox\": [393, 52, 423, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [464, 52, 487, 65]}, {\"cell\": \"SE\", \"bbox\": [21, 64, 34, 77]}, {\"cell\": \"0.07\", \"bbox\": [129, 64, 148, 77]}, {\"cell\": \"0.64\", \"bbox\": [193, 64, 212, 77]}, {\"cell\": \"0.63\", \"bbox\": [257, 64, 277, 77]}, {\"cell\": \"0.66\", \"bbox\": [324, 64, 344, 77]}, {\"cell\": \"0.62\", \"bbox\": [398, 64, 418, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 64, 483, 77]}, {\"cell\": \"Y\", \"bbox\": [7, 77, 16, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Mean\", \"bbox\": [21, 89, 46, 102]}, {\"cell\": \"1.07\", \"bbox\": [129, 89, 148, 102]}, {\"cell\": \"2.06\", \"bbox\": [193, 89, 212, 102]}, {\"cell\": \"1.52\", \"bbox\": [257, 89, 277, 102]}, {\"cell\": \"1.50\", \"bbox\": [324, 89, 344, 102]}, {\"cell\": \"1.60\", \"bbox\": [398, 89, 418, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [466, 89, 485, 102]}, {\"cell\": \"Range of 95% CI\", \"bbox\": [21, 102, 92, 115]}, {\"cell\": \"0.91-1.23\", \"bbox\": [118, 102, 159, 115]}, {\"cell\": \"1.75-2.37\", \"bbox\": [182, 102, 223, 115]}, {\"cell\": \"1.2-18\", \"bbox\": [253, 102, 281, 115]}, {\"cell\": \"1.21-1.78\", \"bbox\": [314, 102, 354, 115]}, {\"cell\": \"1.29-1.92\", \"bbox\": [388, 102, 428, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 102, 493, 115]}, {\"cell\": \"SE\", \"bbox\": [21, 114, 34, 127]}, {\"cell\": \"0.08\", \"bbox\": [129, 114, 148, 127]}, {\"cell\": \"0.15\", \"bbox\": [193, 114, 212, 127]}, {\"cell\": \"0.16\", \"bbox\": [257, 114, 277, 127]}, {\"cell\": \"0.14\", \"bbox\": [324, 114, 344, 127]}, {\"cell\": \"0.15\", \"bbox\": [398, 114, 418, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [466, 114, 485, 127]}, {\"cell\": \"Z\", \"bbox\": [7, 127, 15, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Mean\", \"bbox\": [21, 139, 46, 152]}, {\"cell\": \"1.01\", \"bbox\": [129, 139, 148, 152]}, {\"cell\": \"1.55\", \"bbox\": [193, 139, 212, 152]}, {\"cell\": \"1.48\", \"bbox\": [257, 139, 277, 152]}, {\"cell\": \"1.26\", \"bbox\": [324, 139, 344, 152]}, {\"cell\": \"1.53\", \"bbox\": [398, 139, 418, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [466, 139, 485, 152]}, {\"cell\": \"Range of 95% CI\", \"bbox\": [21, 152, 92, 165]}, {\"cell\": \"0.85-1.18\", \"bbox\": [118, 152, 159, 165]}, {\"cell\": \"1.17-1.92\", \"bbox\": [182, 152, 223, 165]}, {\"cell\": \"1.13-1.82\", \"bbox\": [247, 152, 287, 165]}, {\"cell\": \"0.98-1.54\", \"bbox\": [314, 152, 354, 165]}, {\"cell\": \"1.05-2.01\", \"bbox\": [388, 152, 428, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 152, 496, 165]}, {\"cell\": \"SE\", \"bbox\": [21, 164, 34, 177]}, {\"cell\": \"0.08\", \"bbox\": [129, 164, 148, 177]}, {\"cell\": \"0.18\", \"bbox\": [193, 164, 212, 177]}, {\"cell\": \"0.17\", \"bbox\": [257, 164, 277, 177]}, {\"cell\": \"0.13\", \"bbox\": [324, 164, 344, 177]}, {\"cell\": \"0.24\", \"bbox\": [398, 164, 418, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [466, 164, 485, 177]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4852069_007_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Characteristicsn or Mean a(%) or SD b
Household[EMPTY_CELL][EMPTY_CELL]
Quality of housing[EMPTY_CELL][EMPTY_CELL]
Iron sheet roof (n = 3359)[EMPTY_CELL](40.8)
Earth floor (n = 3358)[EMPTY_CELL](98.2)
Wood and mud wall (n = 3359)[EMPTY_CELL](93.2)
Improved drinking water (n = 3358)[EMPTY_CELL](80.7)
Improved sanitation facility (n = 3332)[EMPTY_CELL](6.5)
Electricity (n = 3358)[EMPTY_CELL](1.0)
Owned land size (hectares) (n = 3360)[EMPTY_CELL]0.17 b
Maternal/caregiver[EMPTY_CELL][EMPTY_CELL]
Age (year) (n = 3319)[EMPTY_CELL]8.6 b
15–24[EMPTY_CELL](10.9)
25–34[EMPTY_CELL](53.9)
35–44[EMPTY_CELL](24.3)
≥45[EMPTY_CELL](9.6)
Married (n = 3334)[EMPTY_CELL](87.9)
Education (n = 3352)[EMPTY_CELL][EMPTY_CELL]
No formal school[EMPTY_CELL](63.1)
Primary (Grade 1–8)[EMPTY_CELL](34.6)
Secondary/above[EMPTY_CELL](2.0)
Occupation (n = 3354)[EMPTY_CELL][EMPTY_CELL]
Agriculture/farmer[EMPTY_CELL](59.5)
Petty trade/own skilled work[EMPTY_CELL](28.7)
No occupation[EMPTY_CELL](9.0)
Child (n = 4297)[EMPTY_CELL][EMPTY_CELL]
Age (months)[EMPTY_CELL]15.9 b
6–11[EMPTY_CELL](13.3)
12–23[EMPTY_CELL](18.9)
24–35[EMPTY_CELL](15.3)
36–47[EMPTY_CELL](28.3)
48–59[EMPTY_CELL](24.2)
Male sex[EMPTY_CELL](50.9)
\", \"cells\": [{\"cell\": \"Characteristics\", \"bbox\": [55, 5, 117, 15]}, {\"cell\": \"n or Mean a\", \"bbox\": [191, 3, 240, 15]}, {\"cell\": \"(%) or SD b\", \"bbox\": [281, 4, 329, 15]}, {\"cell\": \"Household\", \"bbox\": [66, 21, 106, 32]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Quality of housing\", \"bbox\": [48, 32, 124, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Iron sheet roof (n = 3359)\", \"bbox\": [36, 43, 136, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 43, 225, 54]}, {\"cell\": \"(40.8)\", \"bbox\": [293, 43, 317, 54]}, {\"cell\": \"Earth floor (n = 3358)\", \"bbox\": [43, 54, 129, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 54, 225, 65]}, {\"cell\": \"(98.2)\", \"bbox\": [293, 54, 317, 65]}, {\"cell\": \"Wood and mud wall (n = 3359)\", \"bbox\": [24, 65, 148, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 65, 225, 76]}, {\"cell\": \"(93.2)\", \"bbox\": [293, 65, 317, 76]}, {\"cell\": \"Improved drinking water (n = 3358)\", \"bbox\": [14, 76, 158, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 76, 225, 87]}, {\"cell\": \"(80.7)\", \"bbox\": [293, 76, 317, 87]}, {\"cell\": \"Improved sanitation facility (n = 3332)\", \"bbox\": [9, 87, 163, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 87, 223, 98]}, {\"cell\": \"(6.5)\", \"bbox\": [296, 87, 315, 98]}, {\"cell\": \"Electricity (n = 3358)\", \"bbox\": [45, 98, 127, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 98, 221, 109]}, {\"cell\": \"(1.0)\", \"bbox\": [296, 98, 315, 109]}, {\"cell\": \"Owned land size (hectares) (n = 3360)\", \"bbox\": [11, 110, 161, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 108, 227, 121]}, {\"cell\": \"0.17 b\", \"bbox\": [293, 108, 317, 121]}, {\"cell\": \"Maternal/caregiver\", \"bbox\": [50, 126, 122, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Age (year) (n = 3319)\", \"bbox\": [44, 137, 128, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [207, 135, 224, 148]}, {\"cell\": \"8.6 b\", \"bbox\": [295, 136, 315, 148]}, {\"cell\": \"15–24\", \"bbox\": [74, 148, 98, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 148, 223, 159]}, {\"cell\": \"(10.9)\", \"bbox\": [293, 148, 317, 159]}, {\"cell\": \"25–34\", \"bbox\": [74, 159, 98, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 159, 225, 170]}, {\"cell\": \"(53.9)\", \"bbox\": [293, 159, 317, 170]}, {\"cell\": \"35–44\", \"bbox\": [74, 170, 98, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 170, 223, 181]}, {\"cell\": \"(24.3)\", \"bbox\": [293, 170, 317, 181]}, {\"cell\": \"≥45\", \"bbox\": [77, 181, 95, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 181, 223, 192]}, {\"cell\": \"(9.6)\", \"bbox\": [296, 181, 315, 192]}, {\"cell\": \"Married (n = 3334)\", \"bbox\": [48, 192, 124, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 192, 225, 203]}, {\"cell\": \"(87.9)\", \"bbox\": [293, 192, 317, 203]}, {\"cell\": \"Education (n = 3352)\", \"bbox\": [44, 203, 128, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No formal school\", \"bbox\": [51, 214, 121, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 214, 225, 225]}, {\"cell\": \"(63.1)\", \"bbox\": [293, 214, 317, 225]}, {\"cell\": \"Primary (Grade 1–8)\", \"bbox\": [44, 225, 128, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 225, 225, 236]}, {\"cell\": \"(34.6)\", \"bbox\": [293, 225, 317, 236]}, {\"cell\": \"Secondary/above\", \"bbox\": [50, 236, 122, 247]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 236, 221, 247]}, {\"cell\": \"(2.0)\", \"bbox\": [296, 236, 315, 247]}, {\"cell\": \"Occupation (n = 3354)\", \"bbox\": [42, 247, 130, 258]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Agriculture/farmer\", \"bbox\": [46, 258, 126, 269]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 258, 225, 269]}, {\"cell\": \"(59.5)\", \"bbox\": [293, 258, 317, 269]}, {\"cell\": \"Petty trade/own skilled work\", \"bbox\": [26, 269, 146, 280]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 269, 223, 280]}, {\"cell\": \"(28.7)\", \"bbox\": [293, 269, 317, 280]}, {\"cell\": \"No occupation\", \"bbox\": [56, 280, 116, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 280, 223, 291]}, {\"cell\": \"(9.0)\", \"bbox\": [296, 280, 315, 291]}, {\"cell\": \"Child (n = 4297)\", \"bbox\": [55, 296, 117, 307]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Age (months)\", \"bbox\": [58, 308, 114, 319]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [207, 306, 224, 319]}, {\"cell\": \"15.9 b\", \"bbox\": [293, 306, 317, 319]}, {\"cell\": \"6–11\", \"bbox\": [76, 319, 96, 330]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 319, 223, 330]}, {\"cell\": \"(13.3)\", \"bbox\": [293, 319, 317, 330]}, {\"cell\": \"12–23\", \"bbox\": [74, 330, 98, 341]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 330, 223, 341]}, {\"cell\": \"(18.9)\", \"bbox\": [293, 330, 317, 341]}, {\"cell\": \"24–35\", \"bbox\": [74, 341, 98, 352]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 341, 223, 352]}, {\"cell\": \"(15.3)\", \"bbox\": [293, 341, 317, 352]}, {\"cell\": \"36–47\", \"bbox\": [74, 352, 98, 363]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 352, 225, 363]}, {\"cell\": \"(28.3)\", \"bbox\": [293, 352, 317, 363]}, {\"cell\": \"48–59\", \"bbox\": [74, 363, 98, 374]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 363, 225, 374]}, {\"cell\": \"(24.2)\", \"bbox\": [293, 363, 317, 374]}, {\"cell\": \"Male sex\", \"bbox\": [68, 374, 104, 385]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 374, 225, 385]}, {\"cell\": \"(50.9)\", \"bbox\": [293, 374, 317, 385]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5372930_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
MutationaHUS incidenceType of deficiencyC3 levelRisk of recurrence post-transplant
CFH20–30%70% Qualitative and 30% quantitative[EMPTY_CELL]70–80%
MCP10–15%70% Qualitative and 30% quantitative[EMPTY_CELL]Low (unless associated with other mutations)
CFI5–10%70% Qualitative and 30% quantitative[EMPTY_CELL]70–80%
CFB1–4%–[EMPTY_CELL]100% (only 4 cases reported)
THBD3–5%–[EMPTY_CELL]Unknown but probably very low
C32–10%Majority are quantitative[EMPTY_CELL]40%
Anti-CFH Abs6%N/A[EMPTY_CELL]40–70% Depending on associated mutations
CFHR 1–5UnknownUsually qualitative[EMPTY_CELL]Unknown
Combined mutations10–12%Variable[EMPTY_CELL]Variable
\", \"cells\": [{\"cell\": \"Mutation\", \"bbox\": [1, 7, 36, 16]}, {\"cell\": \"aHUS incidence\", \"bbox\": [78, 7, 136, 16]}, {\"cell\": \"Type of deficiency\", \"bbox\": [141, 7, 206, 16]}, {\"cell\": \"C3 level\", \"bbox\": [275, 7, 305, 16]}, {\"cell\": \"Risk of recurrence post-transplant\", \"bbox\": [402, 7, 467, 27]}, {\"cell\": \"CFH\", \"bbox\": [1, 38, 18, 47]}, {\"cell\": \"20–30%\", \"bbox\": [92, 38, 122, 47]}, {\"cell\": \"70% Qualitative and 30% quantitative\", \"bbox\": [142, 38, 269, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [275, 38, 396, 47]}, {\"cell\": \"70–80%\", \"bbox\": [402, 38, 432, 47]}, {\"cell\": \"MCP\", \"bbox\": [1, 49, 20, 58]}, {\"cell\": \"10–15%\", \"bbox\": [93, 49, 122, 58]}, {\"cell\": \"70% Qualitative and 30% quantitative\", \"bbox\": [142, 49, 269, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [275, 49, 396, 58]}, {\"cell\": \"Low (unless associated with other mutations)\", \"bbox\": [402, 49, 498, 70]}, {\"cell\": \"CFI\", \"bbox\": [1, 72, 15, 81]}, {\"cell\": \"5–10%\", \"bbox\": [95, 72, 120, 81]}, {\"cell\": \"70% Qualitative and 30% quantitative\", \"bbox\": [142, 72, 269, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [275, 72, 396, 81]}, {\"cell\": \"70–80%\", \"bbox\": [402, 72, 432, 81]}, {\"cell\": \"CFB\", \"bbox\": [1, 83, 18, 92]}, {\"cell\": \"1–4%\", \"bbox\": [97, 83, 118, 92]}, {\"cell\": \"–\", \"bbox\": [142, 83, 147, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [275, 83, 314, 92]}, {\"cell\": \"100% (only 4 cases reported)\", \"bbox\": [402, 83, 501, 92]}, {\"cell\": \"THBD\", \"bbox\": [1, 95, 22, 104]}, {\"cell\": \"3–5%\", \"bbox\": [97, 95, 118, 104]}, {\"cell\": \"–\", \"bbox\": [142, 95, 147, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [275, 95, 317, 104]}, {\"cell\": \"Unknown but probably very low\", \"bbox\": [402, 95, 509, 104]}, {\"cell\": \"C3\", \"bbox\": [1, 106, 13, 115]}, {\"cell\": \"2–10%\", \"bbox\": [95, 106, 120, 115]}, {\"cell\": \"Majority are quantitative\", \"bbox\": [142, 106, 224, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [275, 106, 317, 115]}, {\"cell\": \"40%\", \"bbox\": [402, 106, 420, 115]}, {\"cell\": \"Anti-CFH Abs\", \"bbox\": [1, 118, 48, 127]}, {\"cell\": \"6%\", \"bbox\": [100, 118, 114, 127]}, {\"cell\": \"N/A\", \"bbox\": [142, 118, 156, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [275, 118, 329, 127]}, {\"cell\": \"40–70% Depending on associated mutations\", \"bbox\": [402, 118, 480, 138]}, {\"cell\": \"CFHR 1–5\", \"bbox\": [1, 141, 36, 150]}, {\"cell\": \"Unknown\", \"bbox\": [90, 141, 124, 150]}, {\"cell\": \"Usually qualitative\", \"bbox\": [142, 141, 203, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [275, 141, 392, 161]}, {\"cell\": \"Unknown\", \"bbox\": [402, 141, 436, 150]}, {\"cell\": \"Combined mutations\", \"bbox\": [1, 164, 73, 173]}, {\"cell\": \"10–12%\", \"bbox\": [93, 164, 122, 173]}, {\"cell\": \"Variable\", \"bbox\": [141, 164, 169, 173]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [274, 164, 302, 173]}, {\"cell\": \"Variable\", \"bbox\": [401, 164, 429, 173]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4292050_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
CharacteristicCases (n = 248) Controls (n = 538)
[EMPTY_CELL]
[EMPTY_CELL]19 (7.7)44 (8.2)
[EMPTY_CELL]52 (21.0)93 (17.3)
[EMPTY_CELL]120 (48.4)277 (51.5)
[EMPTY_CELL]57 (23.0)124 (23.1)
[EMPTY_CELL]
[EMPTY_CELL]213 (85.9)457 (85.1)
[EMPTY_CELL]8 (3.2)22 (4.1)
[EMPTY_CELL]20 (8.1)38 (7.1)
[EMPTY_CELL]2 (0.8)4 (0.7)
[EMPTY_CELL]5 (2.0)16 (3.0)
[EMPTY_CELL]
[EMPTY_CELL]16 (6.5)18 (3.4)
[EMPTY_CELL]230 (93.5)518 (96.6)
[EMPTY_CELL]
[EMPTY_CELL]73 (30.5)146 (28.0)
[EMPTY_CELL]105 (43.9)223 (42.7)
[EMPTY_CELL]61 (25.5)153 (29.3)
[EMPTY_CELL]
[EMPTY_CELL]8 (3.2)17 (3.2)
[EMPTY_CELL]42 (16.9)96 (17.8)
[EMPTY_CELL]80 (32.3)202 (37.6)
[EMPTY_CELL]79 (31.9)120 (22.3)
[EMPTY_CELL]39 (15.7)103 (19.1)
[EMPTY_CELL]
[EMPTY_CELL]143 (57.7)325 (60.4)
[EMPTY_CELL]56 (22.6)124 (23.1)
[EMPTY_CELL]49 (19.8)89 (16.5)
[EMPTY_CELL]
[EMPTY_CELL]68 (27.5)186 (34.6)
[EMPTY_CELL]45 (18.2)113 (21.0)
[EMPTY_CELL]134 (54.3)239 (44.4)
[EMPTY_CELL]
[EMPTY_CELL]8 (3.2)11 (2.1)
[EMPTY_CELL]126 (50.8)278 (52.1)
[EMPTY_CELL]60 (24.2)140 (26.2)
[EMPTY_CELL]54 (21.8)105 (19.7)
[EMPTY_CELL]
[EMPTY_CELL]121 (48.8)157 (29.2)
[EMPTY_CELL]127 (51.2)380 (70.8)
[EMPTY_CELL]
[EMPTY_CELL]121 (48.8)157 (29.2)
[EMPTY_CELL]27 (10.9)71 (13.2)
[EMPTY_CELL]42 (16.9)89 (16.6)
[EMPTY_CELL]28 (11.3)77 (14.3)
[EMPTY_CELL]30 (12.1)143 (26.6)
[EMPTY_CELL]679.7 (593.4, 816.1)661.4 (572.6, 777.1)
[EMPTY_CELL]
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{\"cell\": \"8 (3.2)\", \"bbox\": [187, 191, 207, 201]}, {\"cell\": \"17 (3.2)\", \"bbox\": [297, 191, 321, 201]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 201, 70, 210]}, {\"cell\": \"42 (16.9)\", \"bbox\": [184, 201, 210, 210]}, {\"cell\": \"96 (17.8)\", \"bbox\": [297, 201, 324, 210]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 210, 48, 220]}, {\"cell\": \"80 (32.3)\", \"bbox\": [184, 210, 210, 220]}, {\"cell\": \"202 (37.6)\", \"bbox\": [294, 210, 324, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 219, 58, 229]}, {\"cell\": \"79 (31.9)\", \"bbox\": [184, 219, 210, 229]}, {\"cell\": \"120 (22.3)\", \"bbox\": [294, 219, 324, 229]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 229, 47, 238]}, {\"cell\": \"39 (15.7)\", \"bbox\": [184, 229, 210, 238]}, {\"cell\": \"103 (19.1)\", \"bbox\": [294, 229, 324, 238]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 238, 57, 248]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 247, 26, 257]}, {\"cell\": \"143 (57.7)\", \"bbox\": [180, 247, 210, 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[294, 368, 324, 378]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 377, 28, 387]}, {\"cell\": \"127 (51.2)\", \"bbox\": [180, 377, 210, 387]}, {\"cell\": \"380 (70.8)\", \"bbox\": [294, 377, 324, 387]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 387, 100, 396]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 396, 98, 406]}, {\"cell\": \"121 (48.8)\", \"bbox\": [180, 396, 210, 406]}, {\"cell\": \"157 (29.2)\", \"bbox\": [294, 396, 324, 406]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 405, 85, 415]}, {\"cell\": \"27 (10.9)\", \"bbox\": [184, 405, 210, 415]}, {\"cell\": \"71 (13.2)\", \"bbox\": [297, 405, 324, 415]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 414, 44, 424]}, {\"cell\": \"42 (16.9)\", \"bbox\": [184, 414, 210, 424]}, {\"cell\": \"89 (16.6)\", \"bbox\": [297, 414, 324, 424]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 424, 47, 433]}, {\"cell\": \"28 (11.3)\", \"bbox\": [184, 424, 210, 433]}, {\"cell\": \"77 (14.3)\", \"bbox\": [297, 424, 324, 433]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 433, 41, 443]}, {\"cell\": \"30 (12.1)\", \"bbox\": [184, 433, 210, 443]}, {\"cell\": \"143 (26.6)\", \"bbox\": [294, 433, 324, 443]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 442, 102, 452]}, {\"cell\": \"679.7 (593.4, 816.1)\", \"bbox\": [164, 442, 223, 452]}, {\"cell\": \"661.4 (572.6, 777.1)\", \"bbox\": [279, 442, 338, 452]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 455, 71, 464]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3855515_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
OutcomesSub-Group Comparison of Meta-Analysis# of Individual Studies Included in Meta-AnalysisNumber of Participants Included in Meta-AnalysisWeighted Mean Difference (WMD)95% Confidence IntervalP value of overall effectI2 statistic (p value for heterogeneity)Interpretation
VO2max (ml/kg/min)PRE or combined PRE and aerobic exercise compared with no exercise3 studies(Dolan 2006 [37]; Fitch 2012 [28]; Tiozzo 2011 [33])823.71 ml/kg/minb1.73, 5.70[EMPTY_CELL]0%(p = 0.84)“Significant (and potential clinically important) improvement in change in VO2max among exercisers compared with non-exercisers.” [12].
Maximum Heart Rate (bpm)PRE or combined PRE and aerobic exercise compared with no exercise3 studies(Lox 1995 [40]; Perez-Moreno 2007 [31]; Rigsby 1992 [41])65−5.23 beats per minute−23.84, 13.37[EMPTY_CELL]97% (p < 0.00001)“No significant difference in change in heart rate maximum among exercisers compared with non-exercisers.” [12].
Combined PRE and aerobic exercise group compared with no exercise2 studies(Perez-Moreno 2007 [31]; Rigsby 1992 [41])43−4.91 beats per minute−34.13, 24.300.74[EMPTY_CELL]“No significant difference in change in heart rate maximum among exercisers compared with non-exercisers.” [12].
Exercise Time (min)Combined aerobic and PRE group compared with no exercise3 studies(Dolan 2006 [37]; Fitch 2012 [28]; Rigbsy 1992 [41])833.29 min0.10, 6.49[EMPTY_CELL]97% (p < 0.00001)“Significant increase in exercise time among exercisers compared with non-exercisers.” [12].
\", \"cells\": [{\"cell\": \"Outcomes\", \"bbox\": [1, 4, 35, 13]}, {\"cell\": \"Sub-Group Comparison of Meta-Analysis\", \"bbox\": [41, 4, 90, 31]}, {\"cell\": \"# of Individual Studies Included in Meta-Analysis\", \"bbox\": [106, 4, 153, 40]}, {\"cell\": \"Number of Participants Included in Meta-Analysis\", \"bbox\": [157, 4, 196, 49]}, {\"cell\": \"Weighted Mean Difference (WMD)\", \"bbox\": [204, 4, 239, 40]}, {\"cell\": \"95% Confidence Interval\", \"bbox\": [245, 4, 284, 31]}, {\"cell\": \"P value of overall effect\", \"bbox\": [290, 4, 315, 40]}, {\"cell\": \"I2 statistic (p value for heterogeneity)\", \"bbox\": [319, 2, 368, 31]}, {\"cell\": \"Interpretation\", \"bbox\": [372, 4, 417, 13]}, {\"cell\": \"VO2max (ml/kg/min)\", \"bbox\": [1, 53, 29, 81]}, {\"cell\": \"PRE or combined PRE and aerobic exercise compared with no exercise\", \"bbox\": [41, 53, 98, 99]}, {\"cell\": \"3 studies(Dolan 2006 [37]; Fitch 2012 [28]; Tiozzo 2011 [33])\", \"bbox\": [106, 53, 146, 108]}, {\"cell\": \"82\", \"bbox\": [157, 53, 167, 63]}, {\"cell\": \"3.71 ml/kg/minb\", \"bbox\": [204, 53, 232, 72]}, {\"cell\": \"1.73, 5.70\", \"bbox\": [245, 53, 276, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [290, 51, 315, 63]}, {\"cell\": \"0%(p = 0.84)\", \"bbox\": [319, 53, 352, 72]}, {\"cell\": \"“Significant (and potential clinically important) improvement in change in VO2max among exercisers compared with non-exercisers.” [12].\", \"bbox\": [372, 53, 482, 99]}, {\"cell\": \"Maximum Heart Rate (bpm)\", \"bbox\": [1, 112, 36, 140]}, {\"cell\": \"PRE or combined PRE and aerobic exercise compared with no exercise\", \"bbox\": [41, 112, 98, 158]}, {\"cell\": \"3 studies(Lox 1995 [40]; Perez-Moreno 2007 [31]; Rigsby 1992 [41])\", \"bbox\": [106, 112, 150, 167]}, {\"cell\": \"65\", \"bbox\": [157, 112, 167, 122]}, {\"cell\": \"−5.23 beats per minute\", \"bbox\": [204, 112, 236, 140]}, {\"cell\": \"−23.84, 13.37\", \"bbox\": [245, 112, 270, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [290, 112, 305, 122]}, {\"cell\": \"97% (p < 0.00001)\", \"bbox\": [319, 112, 363, 131]}, {\"cell\": \"“No significant difference in change in heart rate maximum among exercisers compared with non-exercisers.” [12].\", \"bbox\": [372, 112, 481, 149]}, {\"cell\": \"Combined PRE and aerobic exercise group compared with no exercise\", \"bbox\": [41, 171, 92, 217]}, {\"cell\": \"2 studies(Perez-Moreno 2007 [31]; Rigsby 1992 [41])\", \"bbox\": [106, 171, 150, 217]}, {\"cell\": \"43\", \"bbox\": [157, 171, 167, 181]}, {\"cell\": \"−4.91 beats per minute\", \"bbox\": [204, 171, 236, 199]}, {\"cell\": \"−34.13, 24.30\", \"bbox\": [245, 171, 270, 190]}, {\"cell\": \"0.74\", \"bbox\": [290, 171, 305, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [319, 171, 363, 190]}, {\"cell\": \"“No significant difference in change in heart rate maximum among exercisers compared with non-exercisers.” [12].\", \"bbox\": [372, 171, 481, 208]}, {\"cell\": \"Exercise Time (min)\", \"bbox\": [1, 221, 28, 249]}, {\"cell\": \"Combined aerobic and PRE group compared with no exercise\", \"bbox\": [41, 221, 97, 258]}, {\"cell\": \"3 studies(Dolan 2006 [37]; Fitch 2012 [28]; Rigbsy 1992 [41])\", \"bbox\": [106, 221, 153, 267]}, {\"cell\": \"83\", \"bbox\": [157, 221, 167, 231]}, {\"cell\": \"3.29 min\", \"bbox\": [204, 221, 234, 231]}, {\"cell\": \"0.10, 6.49\", \"bbox\": [245, 221, 276, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [290, 219, 307, 231]}, {\"cell\": \"97% (p < 0.00001)\", \"bbox\": [319, 221, 363, 240]}, {\"cell\": \"“Significant increase in exercise time among exercisers compared with non-exercisers.” [12].\", \"bbox\": [372, 221, 481, 249]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5389006_011_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Meaning unitsCondensation
[EMPTY_CELL]The dog is beautiful, but I have no sweets to give him.
[EMPTY_CELL]Leaning towards the dog, caressing, laughing and looking at the dog. The dog is well behaved when sitting. Smiling and rocking its head.
[EMPTY_CELL]Touches the dog, smiles, says something indistinct. Caresses the dog, wondering if the dog does not like it. Continues caressing, smiling.
\", \"cells\": [{\"cell\": \"Meaning units\", \"bbox\": [5, 4, 52, 14]}, {\"cell\": \"Condensation\", \"bbox\": [339, 4, 383, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 16, 244, 35]}, {\"cell\": \"The dog is beautiful, but I have no sweets to give him.\", \"bbox\": [248, 16, 427, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 34, 244, 98]}, {\"cell\": \"Leaning towards the dog, caressing, laughing and looking at the dog. The dog is well behaved when sitting. Smiling and rocking its head.\", \"bbox\": [248, 34, 474, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 97, 244, 161]}, {\"cell\": \"Touches the dog, smiles, says something indistinct. Caresses the dog, wondering if the dog does not like it. Continues caressing, smiling.\", \"bbox\": [248, 97, 472, 116]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5510223_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Position123
δH (J in Hz)δCδH (J in Hz)δCδH (J in Hz)δC
[EMPTY_CELL][EMPTY_CELL]211.1[EMPTY_CELL]211.3[EMPTY_CELL]207.9
[EMPTY_CELL][EMPTY_CELL]52.8[EMPTY_CELL]52.6[EMPTY_CELL]55.9
[EMPTY_CELL]4.84, s86.04.85, s86.54.74, s84.1
[EMPTY_CELL][EMPTY_CELL]153.1[EMPTY_CELL]151.8[EMPTY_CELL]145.2
[EMPTY_CELL]7.53, s128.07.57, s126.87.54, s125.0
[EMPTY_CELL][EMPTY_CELL]146.0[EMPTY_CELL]146.2[EMPTY_CELL]136.5
[EMPTY_CELL][EMPTY_CELL]140.2[EMPTY_CELL]138.3[EMPTY_CELL]132.3
[EMPTY_CELL][EMPTY_CELL]139.0[EMPTY_CELL]138.6[EMPTY_CELL]137.2
[EMPTY_CELL][EMPTY_CELL]131.5[EMPTY_CELL]130.9[EMPTY_CELL]131.3
[EMPTY_CELL]1.07, s22.71.08, s22.01.22, s17.2
[EMPTY_CELL]1.61, s22.21.29, s22.83.56, m65.7
[EMPTY_CELL]5.40, dd (5,4, 5.2)71.93.30, t (7.7)33.13.00, t (7.7)31.7
[EMPTY_CELL]3.93, m47.83.60, t (7.7)61.63.58, t (7.7)60.2
[EMPTY_CELL]2.73, s15.12.63, s14.12.65, s12.7
[EMPTY_CELL]2.50, s22.02.46, s21.42.47, s20.0
[EMPTY_CELL]4.56, d (7.7)105.94.70, d (7.7)105.84.64, d (7.9)104.3
[EMPTY_CELL]3.27–3.43, m75.33.00–4.00, m73.83.00–4.00, m72.2
[EMPTY_CELL]3.27–3.43, m78.23.00–4.00, m79.13.00–4.00, m77.3
[EMPTY_CELL]3.27–3.43, m71.73.00–4.00, m69.93.00–4.00, m68.4
[EMPTY_CELL]3.27–3.43, m78.03.00–4.00, m77.93.00–4.00, m76.7
[EMPTY_CELL]3.72–3.75, m62.93.72–3.93, m62.53.70–3.80, m60.9
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]127.3[EMPTY_CELL]125.9
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]7.46, d (8.4)131.17.50, d (8.6)129.7
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]7.64, d (8.4)116.86.80, d (8.6)115.4
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]161.2[EMPTY_CELL]159.9
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]7.66, d (15.8)146.67.67, d (16.0)144.9
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]6.40, d (15.8)115.66.41, d (16.0)114.1
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]169.1[EMPTY_CELL]167.6
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{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"169.1\", \"bbox\": [251, 442, 278, 454]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"167.6\", \"bbox\": [357, 442, 384, 454]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4346848_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
IndicatorDescription
Infant mortality 1 (in the year of birth*)[EMPTY_CELL]
Infant mortality 2 (in the survey year2)[EMPTY_CELL]
Illiteracy rate*[EMPTY_CELL]
Poverty*[EMPTY_CELL]
Income*[EMPTY_CELL]
Water supply*[EMPTY_CELL]
HDI*[EMPTY_CELL]
GINI*[EMPTY_CELL]
Sanitation†[EMPTY_CELL]
Mortality for external causes†[EMPTY_CELL]
Hospital beds†[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Indicator\", \"bbox\": [53, 5, 90, 14]}, {\"cell\": \"Description\", \"bbox\": [297, 5, 343, 14]}, {\"cell\": \"Infant mortality 1 (in the year of birth*)\", \"bbox\": [4, 27, 138, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [145, 27, 451, 36]}, {\"cell\": \"Infant mortality 2 (in the survey year2)\", \"bbox\": [4, 36, 134, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [145, 37, 394, 47]}, {\"cell\": \"Illiteracy rate*\", \"bbox\": [4, 47, 54, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [145, 36, 374, 59]}, {\"cell\": \"Poverty*\", \"bbox\": [4, 57, 36, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [144, 57, 287, 67]}, {\"cell\": \"Income*\", \"bbox\": [4, 67, 35, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [144, 67, 442, 77]}, {\"cell\": \"Water supply*\", \"bbox\": [4, 78, 55, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [144, 78, 280, 88]}, {\"cell\": \"HDI*\", \"bbox\": [4, 88, 24, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [144, 88, 275, 98]}, {\"cell\": \"GINI*\", \"bbox\": [4, 98, 27, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [144, 98, 387, 108]}, {\"cell\": \"Sanitation†\", \"bbox\": [4, 108, 42, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [144, 108, 493, 128]}, {\"cell\": \"Mortality for external causes†\", \"bbox\": [4, 128, 106, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [144, 128, 486, 147]}, {\"cell\": \"Hospital beds†\", \"bbox\": [4, 147, 55, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [144, 147, 368, 157]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC1988821_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Mean (standard deviation) of ratings of emotion intensity[EMPTY_CELL]
ContentAngerHappinessSadnessFearDisgustSurpriseN
Average ratings of fear expressions1,05 (0,23)1,20 (0,42)1,05 (0,25)3,22 (0,76)[EMPTY_CELL]1,93 (0,49)380
Female actor #11,06 (0,27)1,01 (0,10)1,04 (0,22)3,59 (0,60)[EMPTY_CELL]2,08 (0,49)385
Female actor #21,04 (0,19)1,01 (0,10)1,04 (0,21)3,41 (0,61)[EMPTY_CELL]2,03 (0,42)405
Male actor #11,09 (0,30)1,82 (0,45)1,07 (0,28)2,36 (0,51)[EMPTY_CELL]1,88 (0,43)362
Male actor #21,02 (0,14)1,01 (0,09)1,07 (0,27)3,47 (0,62)[EMPTY_CELL]1,70 (0,53)366
Average ratings of disgust expressions1,09 (0,30)1,01 (0,11)1,23 (0,44)1,14 (0,36)[EMPTY_CELL]1,19 (0,42)410
Female actor #11,13 (0,34)1,02 (0,14)1,23 (0,44)1,37 (0,50)[EMPTY_CELL]1,45 (0,51)394
Female actor #21,08 (0,31)1,02 (0,14)1,03 (0,17)1,05 (0,25)[EMPTY_CELL]1,14 (0,36)409
Male actor #11,11 (0,33)1,01 (0,10)1,60 (0,51)1,10 (0,32)[EMPTY_CELL]1,08 (0,31)408
Male actor #21,03 (0,18)1,00 (0,00)1,06 (0,28)1,04 (0,22)[EMPTY_CELL]1,11 (0,37)430
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Mean (standard deviation) of ratings of emotion intensity\", \"bbox\": [218, 6, 408, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Content\", \"bbox\": [1, 26, 29, 34]}, {\"cell\": \"Anger\", \"bbox\": [160, 26, 182, 34]}, {\"cell\": \"Happiness\", \"bbox\": [210, 26, 247, 34]}, {\"cell\": \"Sadness\", \"bbox\": [271, 26, 302, 34]}, {\"cell\": \"Fear\", \"bbox\": [334, 26, 351, 34]}, {\"cell\": \"Disgust\", \"bbox\": [385, 26, 413, 34]}, {\"cell\": \"Surprise\", \"bbox\": [440, 26, 470, 34]}, {\"cell\": \"N\", \"bbox\": [497, 26, 505, 33]}, {\"cell\": \"Average ratings of fear expressions\", \"bbox\": [1, 43, 121, 51]}, {\"cell\": \"1,05 (0,23)\", \"bbox\": [154, 43, 188, 51]}, {\"cell\": \"1,20 (0,42)\", \"bbox\": [211, 43, 246, 51]}, {\"cell\": \"1,05 (0,25)\", \"bbox\": [269, 43, 304, 51]}, {\"cell\": \"3,22 (0,76)\", \"bbox\": [325, 43, 360, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 43, 416, 51]}, {\"cell\": \"1,93 (0,49)\", \"bbox\": [438, 43, 473, 51]}, {\"cell\": \"380\", \"bbox\": [494, 43, 508, 51]}, {\"cell\": \"Female actor #1\", \"bbox\": [1, 54, 51, 63]}, {\"cell\": \"1,06 (0,27)\", \"bbox\": [154, 54, 188, 63]}, {\"cell\": \"1,01 (0,10)\", \"bbox\": [211, 54, 246, 63]}, {\"cell\": \"1,04 (0,22)\", \"bbox\": [269, 54, 304, 63]}, {\"cell\": \"3,59 (0,60)\", \"bbox\": [325, 54, 360, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 54, 416, 63]}, {\"cell\": \"2,08 (0,49)\", \"bbox\": [438, 54, 473, 63]}, {\"cell\": \"385\", \"bbox\": [494, 54, 508, 63]}, {\"cell\": \"Female actor #2\", \"bbox\": [1, 66, 51, 74]}, {\"cell\": \"1,04 (0,19)\", \"bbox\": [154, 66, 188, 74]}, {\"cell\": \"1,01 (0,10)\", \"bbox\": [211, 66, 246, 74]}, {\"cell\": \"1,04 (0,21)\", \"bbox\": [269, 66, 304, 74]}, {\"cell\": \"3,41 (0,61)\", \"bbox\": [325, 66, 360, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 66, 416, 74]}, {\"cell\": \"2,03 (0,42)\", \"bbox\": [438, 66, 473, 74]}, {\"cell\": \"405\", \"bbox\": [494, 66, 508, 74]}, {\"cell\": \"Male actor #1\", \"bbox\": [1, 77, 44, 85]}, {\"cell\": \"1,09 (0,30)\", \"bbox\": [154, 77, 188, 85]}, {\"cell\": \"1,82 (0,45)\", \"bbox\": [211, 77, 246, 85]}, {\"cell\": \"1,07 (0,28)\", \"bbox\": [269, 77, 304, 85]}, {\"cell\": \"2,36 (0,51)\", \"bbox\": [325, 77, 360, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 77, 416, 85]}, {\"cell\": \"1,88 (0,43)\", \"bbox\": [438, 77, 473, 85]}, {\"cell\": \"362\", \"bbox\": [494, 77, 508, 85]}, {\"cell\": \"Male actor #2\", \"bbox\": [1, 88, 44, 97]}, {\"cell\": \"1,02 (0,14)\", \"bbox\": [154, 88, 188, 97]}, {\"cell\": \"1,01 (0,09)\", \"bbox\": [211, 88, 246, 97]}, {\"cell\": \"1,07 (0,27)\", \"bbox\": [269, 88, 304, 97]}, {\"cell\": \"3,47 (0,62)\", \"bbox\": [325, 88, 360, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 88, 416, 97]}, {\"cell\": \"1,70 (0,53)\", \"bbox\": [438, 88, 473, 97]}, {\"cell\": \"366\", \"bbox\": [494, 88, 508, 97]}, {\"cell\": \"Average ratings of disgust expressions\", \"bbox\": [1, 100, 132, 108]}, {\"cell\": \"1,09 (0,30)\", \"bbox\": [154, 100, 188, 108]}, {\"cell\": \"1,01 (0,11)\", \"bbox\": [211, 100, 246, 108]}, {\"cell\": \"1,23 (0,44)\", \"bbox\": [269, 100, 304, 108]}, {\"cell\": \"1,14 (0,36)\", \"bbox\": [325, 100, 360, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 100, 416, 108]}, {\"cell\": \"1,19 (0,42)\", \"bbox\": [438, 100, 473, 108]}, {\"cell\": \"410\", \"bbox\": [494, 100, 508, 108]}, {\"cell\": \"Female actor #1\", \"bbox\": [1, 111, 51, 120]}, {\"cell\": \"1,13 (0,34)\", \"bbox\": [154, 111, 188, 120]}, {\"cell\": \"1,02 (0,14)\", \"bbox\": [211, 111, 246, 120]}, {\"cell\": \"1,23 (0,44)\", \"bbox\": [269, 111, 304, 120]}, {\"cell\": \"1,37 (0,50)\", \"bbox\": [325, 111, 360, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 111, 416, 120]}, {\"cell\": \"1,45 (0,51)\", \"bbox\": [438, 111, 473, 120]}, {\"cell\": \"394\", \"bbox\": [494, 111, 508, 120]}, {\"cell\": \"Female actor #2\", \"bbox\": [1, 122, 51, 131]}, {\"cell\": \"1,08 (0,31)\", \"bbox\": [154, 122, 188, 131]}, {\"cell\": \"1,02 (0,14)\", \"bbox\": [211, 122, 246, 131]}, {\"cell\": \"1,03 (0,17)\", \"bbox\": [269, 122, 304, 131]}, {\"cell\": \"1,05 (0,25)\", \"bbox\": [325, 122, 360, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 122, 416, 131]}, {\"cell\": \"1,14 (0,36)\", \"bbox\": [438, 122, 473, 131]}, {\"cell\": \"409\", \"bbox\": [494, 122, 508, 131]}, {\"cell\": \"Male actor #1\", \"bbox\": [1, 134, 44, 142]}, {\"cell\": \"1,11 (0,33)\", \"bbox\": [154, 134, 188, 142]}, {\"cell\": \"1,01 (0,10)\", \"bbox\": [211, 134, 246, 142]}, {\"cell\": \"1,60 (0,51)\", \"bbox\": [269, 134, 304, 142]}, {\"cell\": \"1,10 (0,32)\", \"bbox\": [325, 134, 360, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 134, 416, 142]}, {\"cell\": \"1,08 (0,31)\", \"bbox\": [438, 134, 473, 142]}, {\"cell\": \"408\", \"bbox\": [494, 134, 508, 142]}, {\"cell\": \"Male actor #2\", \"bbox\": [1, 145, 44, 154]}, {\"cell\": \"1,03 (0,18)\", \"bbox\": [154, 145, 188, 154]}, {\"cell\": \"1,00 (0,00)\", \"bbox\": [211, 145, 246, 154]}, {\"cell\": \"1,06 (0,28)\", \"bbox\": [269, 145, 304, 154]}, {\"cell\": \"1,04 (0,22)\", \"bbox\": [325, 145, 360, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 145, 416, 154]}, {\"cell\": \"1,11 (0,37)\", \"bbox\": [438, 145, 473, 154]}, {\"cell\": \"430\", \"bbox\": [494, 145, 508, 154]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5120108_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Sociodemographic characteristicsCase, n (%)Control, n (%)Total, n (%)
Mother age[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
15–24 years94 (27.2)252 (72.8)[EMPTY_CELL]
25–44 years189 (24.2)592 (75.8)[EMPTY_CELL]
45+ years3 (17.6)14 (82.4)[EMPTY_CELL]
Educational status of the mother[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
No education98 (8.6)233 (20.4)[EMPTY_CELL]
Primary level109 (33.4)217 (66.6)[EMPTY_CELL]
Secondary level46 (18.7)200 (81.3)[EMPTY_CELL]
Higher level33 (13.7)208 (86.3)[EMPTY_CELL]
Employment[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Employed30 (14.3)180 (85.7)[EMPTY_CELL]
Petty trade37 (18)168 (82)[EMPTY_CELL]
Unemployed61 (5.3)124 (10.8)[EMPTY_CELL]
Housewife158 (29)386 (71)[EMPTY_CELL]
Family size[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
≤5 families190 (22.9)641 (77.1)[EMPTY_CELL]
>5 families96 (30.7)217 (69.3)[EMPTY_CELL]
Main drinking water source[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Improved264 (23.1)817 (71.4)[EMPTY_CELL]
Nonimproved264 (23.1)41 (3.6)[EMPTY_CELL]
The type of latrine[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
No latrine10 (20)40 (80)[EMPTY_CELL]
Pit latrine246 (25.3)726 (74.7)[EMPTY_CELL]
VIPL21 (22.1)74 (77.9)[EMPTY_CELL]
Water pouring9 (33.3)18 (66.7)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Sociodemographic characteristics\", \"bbox\": [2, 4, 125, 15]}, {\"cell\": \"Case, n (%)\", \"bbox\": [200, 1, 243, 16]}, {\"cell\": \"Control, n (%)\", \"bbox\": [322, 1, 376, 16]}, {\"cell\": \"Total, n (%)\", \"bbox\": [455, 1, 499, 16]}, {\"cell\": \"Mother age\", \"bbox\": [2, 18, 45, 28]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 15–24 years\", \"bbox\": [11, 31, 54, 41]}, {\"cell\": \"94 (27.2)\", \"bbox\": [205, 31, 238, 41]}, {\"cell\": \"252 (72.8)\", \"bbox\": [330, 31, 367, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [456, 31, 498, 41]}, {\"cell\": \" 25–44 years\", \"bbox\": [11, 44, 56, 54]}, {\"cell\": \"189 (24.2)\", \"bbox\": [203, 44, 240, 54]}, {\"cell\": \"592 (75.8)\", \"bbox\": [330, 44, 367, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [456, 44, 497, 54]}, {\"cell\": \" 45+ years\", \"bbox\": [11, 57, 48, 67]}, {\"cell\": \"3 (17.6)\", \"bbox\": [208, 57, 235, 67]}, {\"cell\": \"14 (82.4)\", \"bbox\": [333, 57, 365, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [461, 57, 492, 67]}, {\"cell\": \"Educational status of the mother\", \"bbox\": [2, 69, 121, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" No education\", \"bbox\": [11, 82, 62, 93]}, {\"cell\": \"98 (8.6)\", \"bbox\": [207, 82, 236, 93]}, {\"cell\": \"233 (20.4)\", \"bbox\": [330, 82, 368, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 82, 495, 93]}, {\"cell\": \" Primary level\", \"bbox\": [11, 95, 61, 106]}, {\"cell\": \"109 (33.4)\", \"bbox\": [203, 95, 240, 106]}, {\"cell\": \"217 (66.6)\", \"bbox\": [330, 95, 367, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [456, 95, 498, 106]}, {\"cell\": \" Secondary level\", \"bbox\": [11, 108, 69, 119]}, {\"cell\": \"46 (18.7)\", \"bbox\": [205, 108, 238, 119]}, {\"cell\": \"200 (81.3)\", \"bbox\": [331, 108, 367, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 108, 495, 119]}, {\"cell\": \" Higher level\", \"bbox\": [11, 121, 57, 132]}, {\"cell\": \"33 (13.7)\", \"bbox\": [206, 121, 237, 132]}, {\"cell\": \"208 (86.3)\", \"bbox\": [330, 121, 368, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 121, 497, 132]}, {\"cell\": \"Employment\", \"bbox\": [2, 134, 51, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Employed\", \"bbox\": [11, 147, 50, 158]}, {\"cell\": \"30 (14.3)\", \"bbox\": [205, 147, 238, 158]}, {\"cell\": \"180 (85.7)\", \"bbox\": [331, 147, 367, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 147, 497, 158]}, {\"cell\": \" Petty trade\", \"bbox\": [11, 160, 52, 171]}, {\"cell\": \"37 (18)\", \"bbox\": [209, 160, 234, 171]}, {\"cell\": \"168 (82)\", \"bbox\": [334, 160, 364, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 160, 496, 171]}, {\"cell\": \" Unemployed\", \"bbox\": [11, 173, 59, 184]}, {\"cell\": \"61 (5.3)\", \"bbox\": [208, 173, 235, 184]}, {\"cell\": \"124 (10.8)\", \"bbox\": [331, 173, 367, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 173, 494, 184]}, {\"cell\": \" Housewife\", \"bbox\": [11, 186, 52, 197]}, {\"cell\": \"158 (29)\", \"bbox\": [207, 186, 237, 197]}, {\"cell\": \"386 (71)\", \"bbox\": [334, 186, 364, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [456, 186, 497, 197]}, {\"cell\": \"Family size\", \"bbox\": [2, 199, 44, 210]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" ≤5 families\", \"bbox\": [11, 209, 53, 225]}, {\"cell\": \"190 (22.9)\", \"bbox\": [203, 212, 240, 223]}, {\"cell\": \"641 (77.1)\", \"bbox\": [332, 212, 366, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 212, 495, 223]}, {\"cell\": \" >5 families\", \"bbox\": [11, 222, 53, 238]}, {\"cell\": \"96 (30.7)\", \"bbox\": [205, 225, 239, 236]}, {\"cell\": \"217 (69.3)\", \"bbox\": [331, 225, 367, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 225, 494, 236]}, {\"cell\": \"Main drinking water source\", \"bbox\": [2, 238, 104, 249]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Improved\", \"bbox\": [11, 251, 48, 262]}, {\"cell\": \"264 (23.1)\", \"bbox\": [203, 251, 240, 262]}, {\"cell\": \"817 (71.4)\", \"bbox\": [331, 251, 367, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 251, 497, 262]}, {\"cell\": \" Nonimproved\", \"bbox\": [11, 264, 64, 275]}, {\"cell\": \"264 (23.1)\", \"bbox\": [203, 264, 240, 275]}, {\"cell\": \"41 (3.6)\", \"bbox\": [335, 264, 363, 275]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 264, 491, 275]}, {\"cell\": \"The type of latrine\", \"bbox\": [2, 277, 70, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" No latrine\", \"bbox\": [11, 290, 50, 301]}, {\"cell\": \"10 (20)\", \"bbox\": [208, 290, 235, 301]}, {\"cell\": \"40 (80)\", \"bbox\": [335, 290, 363, 301]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [460, 290, 493, 301]}, {\"cell\": \" Pit latrine\", \"bbox\": [11, 303, 49, 314]}, {\"cell\": \"246 (25.3)\", \"bbox\": [203, 303, 240, 314]}, {\"cell\": \"726 (74.7)\", \"bbox\": [330, 303, 368, 314]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [456, 303, 498, 314]}, {\"cell\": \" VIPL\", \"bbox\": [11, 316, 33, 327]}, {\"cell\": \"21 (22.1)\", \"bbox\": [206, 316, 237, 327]}, {\"cell\": \"74 (77.9)\", \"bbox\": [333, 316, 365, 327]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 316, 491, 327]}, {\"cell\": \" Water pouring\", \"bbox\": [11, 329, 66, 340]}, {\"cell\": \"9 (33.3)\", \"bbox\": [207, 329, 236, 340]}, {\"cell\": \"18 (66.7)\", \"bbox\": [333, 329, 365, 340]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [460, 329, 493, 340]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5878865_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
CharacteristicAustraliaUSAJapanKorea
N7,35510,3583,541[EMPTY_CELL]
Sex (% male)16.141.944.2[EMPTY_CELL]
Mean age in years (SD)77.2 (6.50)74.5 (7.30)74.4 (6.60)[EMPTY_CELL]
Partner status (% partnered)52.258.864.4[EMPTY_CELL]
Educational level (%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Grade 9 or lower27.316.660.6[EMPTY_CELL]
Grades 10-1237.846.329.1[EMPTY_CELL]
Post-secondary34.937.010.3[EMPTY_CELL]
Smoking (% non-smoker)95.090.283.0[EMPTY_CELL]
Drinking Alcohol (% abstainer)27.770.366.1[EMPTY_CELL]
Medical conditions (%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
None19.37.732.5[EMPTY_CELL]
One32.824.945.1[EMPTY_CELL]
More than one47.967.422.4[EMPTY_CELL]
ADL Difficulty (% with no difficulty)86.486.196.9[EMPTY_CELL]
Mental Health Status (% poor)12.414.913.3[EMPTY_CELL]
Self-rated health (%)a[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Poor3.08.52.5[EMPTY_CELL]
Fair22.122.720.8[EMPTY_CELL]
Good40.432.441.2[EMPTY_CELL]
Very good27.327.619.1[EMPTY_CELL]
Excellent7.18.816.4[EMPTY_CELL]
Mean self-rated health (SD)b2.87 (0.94)2.94 (1.09)2.74 (1.04)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Characteristic\", \"bbox\": [1, 4, 49, 13]}, {\"cell\": \"Australia\", \"bbox\": [95, 4, 128, 13]}, {\"cell\": \"USA\", \"bbox\": [139, 4, 156, 13]}, {\"cell\": \"Japan\", \"bbox\": [172, 4, 195, 13]}, {\"cell\": \"Korea\", \"bbox\": [208, 4, 230, 13]}, {\"cell\": \"N\", \"bbox\": [1, 17, 8, 27]}, {\"cell\": \"7,355\", \"bbox\": [102, 17, 121, 27]}, {\"cell\": \"10,358\", \"bbox\": [136, 17, 159, 27]}, {\"cell\": \"3,541\", \"bbox\": [174, 17, 193, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 17, 229, 27]}, {\"cell\": \"Sex (% male)\", \"bbox\": [1, 31, 44, 41]}, {\"cell\": \"16.1\", \"bbox\": [104, 31, 119, 41]}, {\"cell\": \"41.9\", \"bbox\": [140, 31, 155, 41]}, {\"cell\": \"44.2\", \"bbox\": [176, 31, 191, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 31, 227, 41]}, {\"cell\": \"Mean age in years (SD)\", \"bbox\": [1, 45, 77, 55]}, {\"cell\": \"77.2 (6.50)\", \"bbox\": [95, 45, 129, 55]}, {\"cell\": \"74.5 (7.30)\", \"bbox\": [130, 45, 165, 55]}, {\"cell\": \"74.4 (6.60)\", \"bbox\": [166, 45, 201, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [202, 45, 236, 55]}, {\"cell\": \"Partner status (% partnered)\", \"bbox\": [1, 59, 46, 78]}, {\"cell\": \"52.2\", \"bbox\": [104, 59, 119, 69]}, {\"cell\": \"58.8\", \"bbox\": [140, 59, 155, 69]}, {\"cell\": \"64.4\", \"bbox\": [176, 59, 191, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 59, 227, 69]}, {\"cell\": \"Educational level (%)\", \"bbox\": [1, 82, 69, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Grade 9 or lower\", \"bbox\": [8, 96, 65, 106]}, {\"cell\": \"27.3\", \"bbox\": [104, 96, 119, 106]}, {\"cell\": \"16.6\", \"bbox\": [140, 96, 155, 106]}, {\"cell\": \"60.6\", \"bbox\": [176, 96, 191, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 96, 227, 106]}, {\"cell\": \" Grades 10-12\", \"bbox\": [8, 110, 52, 120]}, {\"cell\": \"37.8\", \"bbox\": [104, 110, 119, 120]}, {\"cell\": \"46.3\", \"bbox\": [140, 110, 155, 120]}, {\"cell\": \"29.1\", \"bbox\": [176, 110, 191, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 110, 227, 120]}, {\"cell\": \" Post-secondary\", \"bbox\": [8, 124, 59, 134]}, {\"cell\": \"34.9\", \"bbox\": [104, 124, 119, 134]}, {\"cell\": \"37.0\", \"bbox\": [140, 124, 155, 134]}, {\"cell\": \"10.3\", \"bbox\": [176, 124, 191, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [214, 124, 225, 134]}, {\"cell\": \"Smoking (% non-smoker)\", \"bbox\": [1, 138, 83, 148]}, {\"cell\": \"95.0\", \"bbox\": [104, 138, 119, 148]}, {\"cell\": \"90.2\", \"bbox\": [140, 138, 155, 148]}, {\"cell\": \"83.0\", \"bbox\": [176, 138, 191, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 138, 227, 148]}, {\"cell\": \"Drinking Alcohol (% abstainer)\", \"bbox\": [1, 152, 56, 171]}, {\"cell\": \"27.7\", \"bbox\": [104, 152, 119, 162]}, {\"cell\": \"70.3\", \"bbox\": [140, 152, 155, 162]}, {\"cell\": \"66.1\", \"bbox\": [176, 152, 191, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 152, 227, 162]}, {\"cell\": \"Medical conditions (%)\", \"bbox\": [1, 175, 75, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"None\", \"bbox\": [1, 189, 20, 199]}, {\"cell\": \"19.3\", \"bbox\": [104, 189, 119, 199]}, {\"cell\": \"7.7\", \"bbox\": [142, 189, 153, 199]}, {\"cell\": \"32.5\", \"bbox\": [176, 189, 191, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 189, 227, 199]}, {\"cell\": \" One\", \"bbox\": [8, 203, 24, 213]}, {\"cell\": \"32.8\", \"bbox\": [104, 203, 119, 213]}, {\"cell\": \"24.9\", \"bbox\": [140, 203, 155, 213]}, {\"cell\": \"45.1\", \"bbox\": [176, 203, 191, 213]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 203, 227, 213]}, {\"cell\": \" More than one\", \"bbox\": [8, 217, 59, 227]}, {\"cell\": \"47.9\", \"bbox\": [104, 217, 119, 227]}, {\"cell\": \"67.4\", \"bbox\": [140, 217, 155, 227]}, {\"cell\": \"22.4\", \"bbox\": [176, 217, 191, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 217, 227, 227]}, {\"cell\": \"ADL Difficulty (% with no difficulty)\", \"bbox\": [1, 231, 69, 250]}, {\"cell\": \"86.4\", \"bbox\": [104, 231, 119, 241]}, {\"cell\": \"86.1\", \"bbox\": [140, 231, 155, 241]}, {\"cell\": \"96.9\", \"bbox\": [176, 231, 191, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 231, 227, 241]}, {\"cell\": \"Mental Health Status (% poor)\", \"bbox\": [1, 254, 69, 273]}, {\"cell\": \"12.4\", \"bbox\": [104, 254, 119, 264]}, {\"cell\": \"14.9\", \"bbox\": [140, 254, 155, 264]}, {\"cell\": \"13.3\", \"bbox\": [176, 254, 191, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 254, 227, 264]}, {\"cell\": \"Self-rated health (%)a\", \"bbox\": [1, 275, 70, 287]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Poor\", \"bbox\": [8, 291, 25, 301]}, {\"cell\": \"3.0\", \"bbox\": [106, 291, 117, 301]}, {\"cell\": \"8.5\", \"bbox\": [142, 291, 153, 301]}, {\"cell\": \"2.5\", \"bbox\": [178, 291, 189, 301]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 291, 227, 301]}, {\"cell\": \" Fair\", \"bbox\": [8, 305, 22, 315]}, {\"cell\": \"22.1\", \"bbox\": [104, 305, 119, 315]}, {\"cell\": \"22.7\", \"bbox\": [140, 305, 155, 315]}, {\"cell\": \"20.8\", \"bbox\": [176, 305, 191, 315]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 305, 227, 315]}, {\"cell\": \" Good\", \"bbox\": [8, 319, 28, 329]}, {\"cell\": \"40.4\", \"bbox\": [104, 319, 119, 329]}, {\"cell\": \"32.4\", \"bbox\": [140, 319, 155, 329]}, {\"cell\": \"41.2\", \"bbox\": [176, 319, 191, 329]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 319, 227, 329]}, {\"cell\": \" Very good\", \"bbox\": [8, 333, 44, 343]}, {\"cell\": \"27.3\", \"bbox\": [104, 333, 119, 343]}, {\"cell\": \"27.6\", \"bbox\": [140, 333, 155, 343]}, {\"cell\": \"19.1\", \"bbox\": [176, 333, 191, 343]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [214, 333, 225, 343]}, {\"cell\": \" Excellent\", \"bbox\": [8, 347, 39, 357]}, {\"cell\": \"7.1\", \"bbox\": [106, 347, 117, 357]}, {\"cell\": \"8.8\", \"bbox\": [142, 347, 153, 357]}, {\"cell\": \"16.4\", \"bbox\": [176, 347, 191, 357]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [214, 347, 225, 357]}, {\"cell\": \"Mean self-rated health (SD)b\", \"bbox\": [1, 359, 93, 371]}, {\"cell\": \"2.87 (0.94)\", \"bbox\": [95, 361, 129, 371]}, {\"cell\": \"2.94 (1.09)\", \"bbox\": [130, 361, 165, 371]}, {\"cell\": \"2.74 (1.04)\", \"bbox\": [166, 361, 201, 371]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [202, 361, 236, 371]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3490893_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
StrainGenotypeSource
L40[EMPTY_CELL]Stagljar laboratory
Artificial bait in L40 (A0287)[EMPTY_CELL]Stagljar laboratory
Myo1 L40 L2[EMPTY_CELL]This study
Myo1 L40 L3[EMPTY_CELL]This study
BY4741[EMPTY_CELL]ATCC
Myo1-GFP[EMPTY_CELL]ThermoFisher
Myo1-TAP (orf)-HA[EMPTY_CELL]This study
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Strain\", \"bbox\": [7, 5, 29, 15]}, {\"cell\": \"Genotype\", \"bbox\": [126, 5, 164, 15]}, {\"cell\": \"Source\", \"bbox\": [429, 5, 455, 15]}, {\"cell\": \"L40\", \"bbox\": [1, 18, 15, 29]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [126, 18, 382, 39]}, {\"cell\": \"Stagljar laboratory\", \"bbox\": [429, 18, 496, 29]}, {\"cell\": \"Artificial bait in L40 (A0287)\", \"bbox\": [0, 38, 101, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [126, 38, 382, 59]}, {\"cell\": \"Stagljar laboratory\", \"bbox\": [429, 38, 496, 49]}, {\"cell\": \"Myo1 L40 L2\", \"bbox\": [1, 58, 49, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [126, 58, 382, 79]}, {\"cell\": \"This study\", \"bbox\": [429, 58, 467, 69]}, {\"cell\": \"Myo1 L40 L3\", \"bbox\": [0, 78, 49, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [126, 78, 382, 99]}, {\"cell\": \"This study\", \"bbox\": [429, 78, 467, 88]}, {\"cell\": \"BY4741\", \"bbox\": [0, 98, 30, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [126, 98, 315, 108]}, {\"cell\": \"ATCC\", \"bbox\": [429, 98, 452, 108]}, {\"cell\": \"Myo1-GFP\", \"bbox\": [0, 108, 40, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [126, 108, 358, 118]}, {\"cell\": \"ThermoFisher\", \"bbox\": [429, 108, 479, 118]}, {\"cell\": \"Myo1-TAP (orf)-HA\", \"bbox\": [0, 118, 69, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [126, 118, 326, 128]}, {\"cell\": \"This study\", \"bbox\": [429, 118, 467, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [126, 128, 304, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4856097_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Association of CD44 expression with tumor characteristics[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]n (%)CD44 n (%)P[EMPTY_CELL]
[EMPTY_CELL]CD44+84/141 (60%)N/A[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]-57/141 (40%)N/A[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]ER+121/140 (86%)73/121 (60%)0.025 Mann-Whitney,0.019 t test[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]-19/140 (14%)16/19 (84%)[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]PR+96/140 (69%)56/96 (58%)0.021 Mann-Whitney,0.025 t test[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]-44/140 (31%)33/44 (75%)[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Her2+13/133 (10%)75/120 (63%)Not significant[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]-120/133 (90%)8/13 (62%)[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Basal+15/135 (11%)13/15 (87%)0.018 Mann-Whitney,0.021 t test[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]-120/135 (89%)72/120 (60%)[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Triple negative+15/135 (11%)13/15 (87%)0.018 Mann-Whitney,0.021 t test[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]-120/135 (89%)72/120 (60%)[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Expression of CD44 is expressed as a percentage of patients in individual clinical classifications (first column).[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Association of CD44 expression with tumor characteristics\", \"bbox\": [140, 4, 345, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"n (%)\", \"bbox\": [170, 17, 190, 27]}, {\"cell\": \"CD44 n (%)\", \"bbox\": [262, 17, 303, 27]}, {\"cell\": \"P\", \"bbox\": [350, 18, 356, 25]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CD44\", \"bbox\": [25, 30, 45, 40]}, {\"cell\": \"+\", \"bbox\": [119, 30, 126, 40]}, {\"cell\": \"84/141 (60%)\", \"bbox\": [170, 30, 214, 40]}, {\"cell\": \"N/A\", \"bbox\": [262, 30, 276, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"-\", \"bbox\": [119, 42, 123, 52]}, {\"cell\": \"57/141 (40%)\", \"bbox\": [170, 42, 214, 52]}, {\"cell\": \"N/A\", \"bbox\": [262, 42, 276, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"ER\", \"bbox\": [25, 54, 35, 64]}, {\"cell\": \"+\", \"bbox\": [119, 54, 126, 64]}, {\"cell\": \"121/140 (86%)\", \"bbox\": [170, 54, 218, 64]}, {\"cell\": \"73/121 (60%)\", \"bbox\": [262, 54, 306, 64]}, {\"cell\": \"0.025 Mann-Whitney,0.019 t test\", \"bbox\": [350, 54, 419, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"-\", \"bbox\": [119, 75, 123, 85]}, {\"cell\": \"19/140 (14%)\", \"bbox\": [170, 75, 214, 85]}, {\"cell\": \"16/19 (84%)\", \"bbox\": [262, 75, 302, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"PR\", \"bbox\": [25, 87, 35, 97]}, {\"cell\": \"+\", \"bbox\": [119, 87, 126, 97]}, {\"cell\": \"96/140 (69%)\", \"bbox\": [170, 87, 214, 97]}, {\"cell\": \"56/96 (58%)\", \"bbox\": [262, 87, 302, 97]}, {\"cell\": \"0.021 Mann-Whitney,0.025 t test\", \"bbox\": [350, 87, 419, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"-\", \"bbox\": [119, 108, 123, 118]}, {\"cell\": \"44/140 (31%)\", \"bbox\": [170, 108, 214, 118]}, {\"cell\": \"33/44 (75%)\", \"bbox\": [262, 108, 302, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Her2\", \"bbox\": [25, 120, 42, 130]}, {\"cell\": \"+\", \"bbox\": [119, 120, 126, 130]}, {\"cell\": \"13/133 (10%)\", \"bbox\": [170, 120, 214, 130]}, {\"cell\": \"75/120 (63%)\", \"bbox\": [262, 120, 306, 130]}, {\"cell\": \"Not significant\", \"bbox\": [350, 120, 399, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"-\", \"bbox\": [119, 132, 123, 142]}, {\"cell\": \"120/133 (90%)\", \"bbox\": [170, 132, 218, 142]}, {\"cell\": \"8/13 (62%)\", \"bbox\": [262, 132, 298, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Basal\", \"bbox\": [25, 144, 43, 153]}, {\"cell\": \"+\", \"bbox\": [119, 144, 126, 153]}, {\"cell\": \"15/135 (11%)\", \"bbox\": [170, 144, 214, 153]}, {\"cell\": \"13/15 (87%)\", \"bbox\": [262, 144, 302, 153]}, {\"cell\": \"0.018 Mann-Whitney,0.021 t test\", \"bbox\": [350, 144, 419, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"-\", \"bbox\": [119, 165, 123, 174]}, {\"cell\": \"120/135 (89%)\", \"bbox\": [170, 165, 218, 174]}, {\"cell\": \"72/120 (60%)\", \"bbox\": [262, 165, 306, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Triple negative\", \"bbox\": [25, 177, 75, 186]}, {\"cell\": \"+\", \"bbox\": [119, 177, 126, 186]}, {\"cell\": \"15/135 (11%)\", \"bbox\": [170, 177, 214, 186]}, {\"cell\": \"13/15 (87%)\", \"bbox\": [262, 177, 302, 186]}, {\"cell\": \"0.018 Mann-Whitney,0.021 t test\", \"bbox\": [350, 177, 419, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"-\", \"bbox\": [119, 198, 123, 207]}, {\"cell\": \"120/135 (89%)\", \"bbox\": [170, 198, 218, 207]}, {\"cell\": \"72/120 (60%)\", \"bbox\": [262, 198, 306, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Expression of CD44 is expressed as a percentage of patients in individual clinical classifications (first column).\", \"bbox\": [25, 210, 379, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3446347_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]FOTO1Maccabi2LiPZ3
Upper extremities[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Shoulder19.011.7[EMPTY_CELL]
Arm (upper and/or forearm)0.92.0[EMPTY_CELL]
Elbow1.43.0[EMPTY_CELL]
Wrist/hand1.47.4[EMPTY_CELL]
Total upper extremities22.724.1[EMPTY_CELL]
Lower extremities[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Pelvis/hip5.84.7[EMPTY_CELL]
Leg (upper and/or lower)3.11.5[EMPTY_CELL]
Knee14.314.5[EMPTY_CELL]
Ankle/foot7.47.8[EMPTY_CELL]
Total lower extremities30.628.5[EMPTY_CELL]
Spinal impairments[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Craniofacial0.20.2[EMPTY_CELL]
Neck13.618.2[EMPTY_CELL]
Ribs/trunk0.20.7[EMPTY_CELL]
Thoracic spine2.04.2[EMPTY_CELL]
Lumbar spine30.624.2[EMPTY_CELL]
Total spinal impairments46.647.5[EMPTY_CELL]
Number of patients (abs.)61,67291,565[EMPTY_CELL]
Unknown (abs.)1,1267,974[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"FOTO1\", \"bbox\": [125, 4, 155, 14]}, {\"cell\": \"Maccabi2\", \"bbox\": [167, 4, 203, 14]}, {\"cell\": \"LiPZ3\", \"bbox\": [214, 4, 237, 14]}, {\"cell\": \"Upper extremities\", \"bbox\": [4, 27, 78, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Shoulder\", \"bbox\": [4, 37, 36, 47]}, {\"cell\": \"19.0\", \"bbox\": [132, 37, 148, 47]}, {\"cell\": \"11.7\", \"bbox\": [177, 37, 193, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 37, 234, 47]}, {\"cell\": \"Arm (upper and/or forearm)\", \"bbox\": [4, 47, 102, 57]}, {\"cell\": \"0.9\", \"bbox\": [134, 47, 146, 57]}, {\"cell\": \"2.0\", \"bbox\": [179, 47, 191, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 47, 232, 57]}, {\"cell\": \"Elbow\", \"bbox\": [4, 57, 27, 67]}, {\"cell\": \"1.4\", \"bbox\": [134, 57, 146, 67]}, {\"cell\": \"3.0\", \"bbox\": [179, 57, 191, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 57, 232, 67]}, {\"cell\": \"Wrist/hand\", \"bbox\": [4, 68, 44, 77]}, {\"cell\": \"1.4\", \"bbox\": [134, 68, 146, 77]}, {\"cell\": \"7.4\", \"bbox\": [179, 68, 191, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 68, 232, 77]}, {\"cell\": \"Total upper extremities\", \"bbox\": [4, 78, 79, 88]}, {\"cell\": \"22.7\", \"bbox\": [132, 78, 149, 88]}, {\"cell\": \"24.1\", \"bbox\": [177, 78, 193, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [217, 78, 234, 88]}, {\"cell\": \"Lower extremities\", \"bbox\": [4, 99, 78, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Pelvis/hip\", \"bbox\": [4, 109, 37, 118]}, {\"cell\": \"5.8\", \"bbox\": [134, 109, 146, 118]}, {\"cell\": \"4.7\", \"bbox\": [179, 109, 191, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 109, 232, 118]}, {\"cell\": \"Leg (upper and/or lower)\", \"bbox\": [4, 119, 91, 129]}, {\"cell\": \"3.1\", \"bbox\": [134, 119, 146, 129]}, {\"cell\": \"1.5\", \"bbox\": [179, 119, 191, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 119, 232, 129]}, {\"cell\": \"Knee\", \"bbox\": [4, 129, 24, 139]}, {\"cell\": \"14.3\", \"bbox\": [132, 129, 148, 139]}, {\"cell\": \"14.5\", \"bbox\": [177, 129, 193, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 129, 234, 139]}, {\"cell\": \"Ankle/foot\", \"bbox\": [4, 139, 42, 149]}, {\"cell\": \"7.4\", \"bbox\": [134, 139, 146, 149]}, {\"cell\": \"7.8\", \"bbox\": [179, 139, 191, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 139, 232, 149]}, {\"cell\": \"Total lower extremities\", \"bbox\": [4, 150, 77, 159]}, {\"cell\": \"30.6\", \"bbox\": [132, 150, 149, 159]}, {\"cell\": \"28.5\", \"bbox\": [177, 150, 193, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 150, 234, 159]}, {\"cell\": \"Spinal impairments\", \"bbox\": [4, 170, 81, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Craniofacial\", \"bbox\": [4, 180, 46, 190]}, {\"cell\": \"0.2\", \"bbox\": [134, 180, 146, 190]}, {\"cell\": \"0.2\", \"bbox\": [179, 180, 191, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 180, 232, 190]}, {\"cell\": \"Neck\", \"bbox\": [4, 191, 24, 200]}, {\"cell\": \"13.6\", \"bbox\": [132, 191, 148, 200]}, {\"cell\": \"18.2\", \"bbox\": [177, 191, 193, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 191, 234, 200]}, {\"cell\": \"Ribs/trunk\", \"bbox\": [4, 201, 41, 211]}, {\"cell\": \"0.2\", \"bbox\": [134, 201, 146, 211]}, {\"cell\": \"0.7\", \"bbox\": [179, 201, 191, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 201, 232, 211]}, {\"cell\": \"Thoracic spine\", \"bbox\": [4, 211, 55, 221]}, {\"cell\": \"2.0\", \"bbox\": [134, 211, 146, 221]}, {\"cell\": \"4.2\", \"bbox\": [179, 211, 191, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 211, 234, 221]}, {\"cell\": \"Lumbar spine\", \"bbox\": [4, 221, 51, 231]}, {\"cell\": \"30.6\", \"bbox\": [132, 221, 148, 231]}, {\"cell\": \"24.2\", \"bbox\": [177, 221, 193, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 221, 234, 231]}, {\"cell\": \"Total spinal impairments\", \"bbox\": [4, 232, 83, 241]}, {\"cell\": \"46.6\", \"bbox\": [132, 232, 149, 241]}, {\"cell\": \"47.5\", \"bbox\": [177, 232, 193, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 232, 234, 241]}, {\"cell\": \"Number of patients (abs.)\", \"bbox\": [4, 254, 92, 264]}, {\"cell\": \"61,672\", \"bbox\": [128, 254, 153, 264]}, {\"cell\": \"91,565\", \"bbox\": [173, 254, 197, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 254, 236, 264]}, {\"cell\": \"Unknown (abs.)\", \"bbox\": [4, 264, 59, 274]}, {\"cell\": \"1,126\", \"bbox\": [130, 264, 150, 274]}, {\"cell\": \"7,974\", \"bbox\": [175, 264, 195, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 264, 236, 274]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2533658_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
ParametersNumbers (n = 30)
Age group in years[EMPTY_CELL]
<40[EMPTY_CELL]
40–60[EMPTY_CELL]
≥60[EMPTY_CELL]
Gender[EMPTY_CELL]
Male[EMPTY_CELL]
Female[EMPTY_CELL]
Symptoms[EMPTY_CELL]
Abdomen pain[EMPTY_CELL]
Jaundice[EMPTY_CELL]
Fever[EMPTY_CELL]
Mean operative time[EMPTY_CELL]
Total conversions[EMPTY_CELL]
Reasons for conversion[EMPTY_CELL]
Impaction[EMPTY_CELL]
Frozen anatomy[EMPTY_CELL]
Multiple stones[EMPTY_CELL]
Nonretrieval of stone[EMPTY_CELL]
Choledochoduodenostomy[EMPTY_CELL]
Hepaticojejunostomy (choledochal cyst)[EMPTY_CELL]
Complications[EMPTY_CELL]
Morbidity[EMPTY_CELL]
Chest infection[EMPTY_CELL]
Surgical site infection[EMPTY_CELL]
Acute coronary syndrome[EMPTY_CELL]
Mortality[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Parameters\", \"bbox\": [2, 8, 45, 19]}, {\"cell\": \"Numbers (n = 30)\", \"bbox\": [192, 4, 227, 27]}, {\"cell\": \"Age group in years\", \"bbox\": [2, 27, 72, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" <40\", \"bbox\": [11, 37, 28, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [207, 41, 213, 52]}, {\"cell\": \" 40–60\", \"bbox\": [11, 54, 36, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 54, 214, 65]}, {\"cell\": \" ≥60\", \"bbox\": [11, 64, 28, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [207, 68, 213, 78]}, {\"cell\": \"Gender\", \"bbox\": [2, 80, 32, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Male\", \"bbox\": [11, 93, 31, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 94, 214, 105]}, {\"cell\": \" Female\", \"bbox\": [11, 107, 39, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 107, 214, 118]}, {\"cell\": \"Symptoms\", \"bbox\": [2, 120, 42, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Abdomen pain\", \"bbox\": [11, 134, 67, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [204, 134, 215, 145]}, {\"cell\": \" Jaundice\", \"bbox\": [11, 147, 44, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 148, 214, 158]}, {\"cell\": \" Fever\", \"bbox\": [11, 160, 33, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [207, 161, 213, 172]}, {\"cell\": \"Mean operative time\", \"bbox\": [2, 178, 78, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [184, 171, 235, 195]}, {\"cell\": \"Total conversions\", \"bbox\": [2, 197, 67, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [192, 198, 228, 209]}, {\"cell\": \"Reasons for conversion\", \"bbox\": [2, 211, 87, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Impaction\", \"bbox\": [11, 224, 51, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [207, 225, 213, 235]}, {\"cell\": \" Frozen anatomy\", \"bbox\": [11, 237, 71, 248]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [207, 238, 212, 249]}, {\"cell\": \" Multiple stones\", \"bbox\": [11, 251, 68, 261]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [207, 251, 212, 262]}, {\"cell\": \" Nonretrieval of stone\", \"bbox\": [11, 264, 89, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [207, 265, 212, 275]}, {\"cell\": \" Choledochoduodenostomy\", \"bbox\": [11, 277, 111, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [207, 278, 213, 288]}, {\"cell\": \" Hepaticojejunostomy (choledochal cyst)\", \"bbox\": [11, 290, 158, 301]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [207, 291, 212, 302]}, {\"cell\": \"Complications\", \"bbox\": [2, 304, 57, 315]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Morbidity\", \"bbox\": [11, 317, 50, 328]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [192, 318, 227, 329]}, {\"cell\": \"Chest infection\", \"bbox\": [20, 330, 77, 341]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [207, 331, 213, 342]}, {\"cell\": \"Surgical site infection\", \"bbox\": [20, 344, 100, 354]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [207, 344, 213, 355]}, {\"cell\": \"Acute coronary syndrome\", \"bbox\": [20, 357, 116, 368]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [207, 358, 212, 368]}, {\"cell\": \" Mortality\", \"bbox\": [11, 370, 47, 381]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [207, 371, 213, 382]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5976910_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Baseline3% CO26% CO2
GFP (n = 4)Cre (n = 6)GFP (n = 4)Cre (n = 6)GFP (n = 4)Cre (n = 6)
Heart rate (BPM)
Pre521 ± 41587 ± 23518 ± 22[EMPTY_CELL]518 ± 22499 ± 27
Post507 ± 24654 ± 16*474 ± 26[EMPTY_CELL]474 ± 26633 ± 19**
Systolic blood pressure (mmHg)
Pre135 ± 9136 ± 6155 ± 14[EMPTY_CELL]169 ± 8164 ± 9
Post137 ± 8159 ± 4*160 ± 9[EMPTY_CELL]173 ± 10170 ± 10
Diastolic blood pressure (mmHg)
Pre65 ± 867 ± 765 ± 10[EMPTY_CELL]66 ± 763 ± 8
Post64 ± 783 ± 6*63 ± 8[EMPTY_CELL]64 ± 862 ± 9
Respiratory rate (min−1)
Pre198 ± 4196 ± 6218 ± 4[EMPTY_CELL]260 ± 12269 ± 14
Post202 ± 7201 ± 5229 ± 12[EMPTY_CELL]265 ± 10307 ± 23
Minute volume (au g−1 min−1)
Pre1.0 ± 0.10.9 ± 0.11.9 ± 0.2[EMPTY_CELL]2.9 ± 0.13.0 ± 0.4
Post0.8 ± 0.21.0 ± 0.11.7 ± 0.3[EMPTY_CELL]2.9 ± 0.34.7 ± 0.9
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Baseline\", \"bbox\": [102, 6, 130, 15]}, {\"cell\": \"3% CO2\", \"bbox\": [248, 6, 278, 16]}, {\"cell\": \"6% CO2\", \"bbox\": [397, 6, 426, 16]}, {\"cell\": \"GFP (n = 4)\", \"bbox\": [60, 22, 99, 31]}, {\"cell\": \"Cre (n = 6)\", \"bbox\": [134, 22, 172, 31]}, {\"cell\": \"GFP (n = 4)\", \"bbox\": [207, 22, 246, 31]}, {\"cell\": \"Cre (n = 6)\", \"bbox\": [281, 22, 319, 31]}, {\"cell\": \"GFP (n = 4)\", \"bbox\": [354, 22, 393, 31]}, {\"cell\": \"Cre (n = 6)\", \"bbox\": [429, 22, 467, 31]}, {\"cell\": \"Heart rate (BPM)\", \"bbox\": [6, 40, 62, 49]}, {\"cell\": \"Pre\", \"bbox\": [10, 50, 22, 59]}, {\"cell\": \"521 ± 41\", \"bbox\": [62, 50, 96, 59]}, {\"cell\": \"587 ± 23\", \"bbox\": [134, 50, 168, 59]}, {\"cell\": \"518 ± 22\", \"bbox\": [209, 50, 242, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 50, 315, 59]}, {\"cell\": \"518 ± 22\", \"bbox\": [355, 50, 389, 59]}, {\"cell\": \"499 ± 27\", \"bbox\": [428, 50, 462, 59]}, {\"cell\": \"Post\", \"bbox\": [10, 61, 25, 70]}, {\"cell\": \"507 ± 24\", \"bbox\": [62, 61, 96, 70]}, {\"cell\": \"654 ± 16*\", \"bbox\": [134, 61, 172, 68]}, {\"cell\": \"474 ± 26\", \"bbox\": [209, 61, 242, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 61, 319, 68]}, {\"cell\": \"474 ± 26\", \"bbox\": [355, 61, 389, 70]}, {\"cell\": \"633 ± 19**\", \"bbox\": [428, 61, 469, 68]}, {\"cell\": \"Systolic blood pressure (mmHg)\", \"bbox\": [6, 71, 110, 80]}, {\"cell\": \"Pre\", \"bbox\": [10, 82, 22, 91]}, {\"cell\": \"135 ± 9\", \"bbox\": [62, 82, 92, 91]}, {\"cell\": \"136 ± 6\", \"bbox\": [134, 82, 164, 91]}, {\"cell\": \"155 ± 14\", \"bbox\": [209, 82, 242, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 82, 311, 91]}, {\"cell\": \"169 ± 8\", \"bbox\": [355, 82, 385, 91]}, {\"cell\": \"164 ± 9\", \"bbox\": [428, 82, 457, 91]}, {\"cell\": \"Post\", \"bbox\": [10, 92, 25, 101]}, {\"cell\": \"137 ± 8\", \"bbox\": [62, 92, 92, 101]}, {\"cell\": \"159 ± 4*\", \"bbox\": [134, 92, 168, 100]}, {\"cell\": \"160 ± 9\", \"bbox\": [209, 92, 238, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 92, 311, 101]}, {\"cell\": \"173 ± 10\", \"bbox\": [355, 92, 389, 101]}, {\"cell\": \"170 ± 10\", \"bbox\": [428, 92, 462, 101]}, {\"cell\": \"Diastolic blood pressure (mmHg)\", \"bbox\": [6, 102, 113, 112]}, {\"cell\": \"Pre\", \"bbox\": [10, 113, 22, 122]}, {\"cell\": \"65 ± 8\", \"bbox\": [66, 113, 92, 122]}, {\"cell\": \"67 ± 7\", \"bbox\": [139, 113, 164, 122]}, {\"cell\": \"65 ± 10\", \"bbox\": [213, 113, 242, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 113, 311, 122]}, {\"cell\": \"66 ± 7\", \"bbox\": [359, 113, 385, 122]}, {\"cell\": \"63 ± 8\", \"bbox\": [432, 113, 457, 122]}, {\"cell\": \"Post\", \"bbox\": [10, 123, 25, 133]}, {\"cell\": \"64 ± 7\", \"bbox\": [66, 123, 92, 133]}, {\"cell\": \"83 ± 6*\", \"bbox\": [139, 124, 168, 131]}, {\"cell\": \"63 ± 8\", \"bbox\": [213, 123, 238, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 123, 311, 133]}, {\"cell\": \"64 ± 8\", \"bbox\": [359, 123, 385, 133]}, {\"cell\": \"62 ± 9\", \"bbox\": [432, 123, 457, 133]}, {\"cell\": \"Respiratory rate (min−1)\", \"bbox\": [6, 132, 85, 143]}, {\"cell\": \"Pre\", \"bbox\": [10, 144, 22, 154]}, {\"cell\": \"198 ± 4\", \"bbox\": [62, 144, 92, 154]}, {\"cell\": \"196 ± 6\", \"bbox\": [134, 144, 164, 154]}, {\"cell\": \"218 ± 4\", \"bbox\": [209, 144, 238, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 144, 311, 154]}, {\"cell\": \"260 ± 12\", \"bbox\": [355, 144, 389, 154]}, {\"cell\": \"269 ± 14\", \"bbox\": [428, 144, 462, 154]}, {\"cell\": \"Post\", \"bbox\": [10, 155, 25, 164]}, {\"cell\": \"202 ± 7\", \"bbox\": [62, 155, 92, 164]}, {\"cell\": \"201 ± 5\", \"bbox\": [134, 155, 164, 164]}, {\"cell\": \"229 ± 12\", \"bbox\": [209, 155, 242, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 155, 315, 164]}, {\"cell\": \"265 ± 10\", \"bbox\": [355, 155, 389, 164]}, {\"cell\": \"307 ± 23\", \"bbox\": [428, 155, 462, 164]}, {\"cell\": \"Minute volume (au g−1 min−1)\", \"bbox\": [6, 164, 108, 175]}, {\"cell\": \"Pre\", \"bbox\": [10, 176, 22, 185]}, {\"cell\": \"1.0 ± 0.1\", \"bbox\": [64, 176, 98, 185]}, {\"cell\": \"0.9 ± 0.1\", \"bbox\": [136, 176, 170, 185]}, {\"cell\": \"1.9 ± 0.2\", \"bbox\": [211, 176, 245, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [283, 176, 317, 185]}, {\"cell\": \"2.9 ± 0.1\", \"bbox\": [357, 176, 391, 185]}, {\"cell\": \"3.0 ± 0.4\", \"bbox\": [430, 176, 464, 185]}, {\"cell\": \"Post\", \"bbox\": [10, 186, 25, 195]}, {\"cell\": \"0.8 ± 0.2\", \"bbox\": [64, 186, 98, 195]}, {\"cell\": \"1.0 ± 0.1\", \"bbox\": [136, 186, 170, 195]}, {\"cell\": \"1.7 ± 0.3\", \"bbox\": [211, 186, 245, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [283, 186, 317, 195]}, {\"cell\": \"2.9 ± 0.3\", \"bbox\": [357, 186, 391, 195]}, {\"cell\": \"4.7 ± 0.9\", \"bbox\": [430, 186, 464, 195]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4985541_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariablesAdjusted HR*(95% CI)*P*
[EMPTY_CELL]1.0990.364–3.3180.867
[EMPTY_CELL]3.8871.861–8.1220.000
[EMPTY_CELL]8.6221.403–52.9990.020
[EMPTY_CELL]3.5660.610–20.8360.158
[EMPTY_CELL]3.4711.628–7.4010.001
[EMPTY_CELL]1.5720.667–3.7030.301
[EMPTY_CELL]2.5491.264–5.1380.009
[EMPTY_CELL]0.2650.134–0.5240.000
\", \"cells\": [{\"cell\": \"Variables\", \"bbox\": [5, 5, 47, 15]}, {\"cell\": \"Adjusted HR*\", \"bbox\": [236, 5, 299, 15]}, {\"cell\": \"(95% CI)*\", \"bbox\": [315, 5, 362, 15]}, {\"cell\": \"P*\", \"bbox\": [439, 5, 452, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 16, 138, 31]}, {\"cell\": \"1.099\", \"bbox\": [236, 16, 260, 31]}, {\"cell\": \"0.364–3.318\", \"bbox\": [315, 16, 367, 31]}, {\"cell\": \"0.867\", \"bbox\": [439, 16, 464, 31]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 34, 142, 49]}, {\"cell\": \"3.887\", \"bbox\": [236, 34, 260, 49]}, {\"cell\": \"1.861–8.122\", \"bbox\": [315, 34, 367, 49]}, {\"cell\": \"0.000\", \"bbox\": [439, 34, 464, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 52, 133, 67]}, {\"cell\": \"8.622\", \"bbox\": [236, 52, 260, 67]}, {\"cell\": \"1.403–52.999\", \"bbox\": [315, 52, 372, 67]}, {\"cell\": \"0.020\", \"bbox\": [439, 52, 464, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 67, 147, 82]}, {\"cell\": \"3.566\", \"bbox\": [236, 67, 260, 82]}, {\"cell\": \"0.610–20.836\", \"bbox\": [315, 67, 372, 82]}, {\"cell\": \"0.158\", \"bbox\": [439, 67, 464, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 82, 147, 97]}, {\"cell\": \"3.471\", \"bbox\": [236, 82, 260, 97]}, {\"cell\": \"1.628–7.401\", \"bbox\": [315, 82, 367, 97]}, {\"cell\": \"0.001\", \"bbox\": [439, 82, 464, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 97, 138, 112]}, {\"cell\": \"1.572\", \"bbox\": [236, 97, 260, 112]}, {\"cell\": \"0.667–3.703\", \"bbox\": [315, 97, 367, 112]}, {\"cell\": \"0.301\", \"bbox\": [439, 97, 464, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 112, 138, 127]}, {\"cell\": \"2.549\", \"bbox\": [236, 112, 260, 127]}, {\"cell\": \"1.264–5.138\", \"bbox\": [315, 112, 367, 127]}, {\"cell\": \"0.009\", \"bbox\": [439, 112, 464, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 127, 150, 142]}, {\"cell\": \"0.265\", \"bbox\": [235, 127, 260, 142]}, {\"cell\": \"0.134–0.524\", \"bbox\": [315, 127, 367, 142]}, {\"cell\": \"0.000\", \"bbox\": [439, 127, 464, 142]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5369979_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
PrimerSequence (5'-3')TNCL RNA segmentPosition on viral genome*Direction
Noda-R1-190Fgggaaccgagttacacgcgcattgc1190..214[EMPTY_CELL]
Noda-R1-636Rggtgaatggtgagtcagcatc1616..636[EMPTY_CELL]
Noda-R1-1093Fcaatctgtcaacgctaggcttatcgg11093..1188[EMPTY_CELL]
Noda-R1-1531Rccgccctaagttgtagttgttgggacgg11504..1531[EMPTY_CELL]
Noda-R1-2368Ftgtaccgatgcgcttactccgttgatatcgg12368..2398[EMPTY_CELL]
Noda-R1-2933Rccacgctgggtttctccagcagtgatgttacc12902..2933[EMPTY_CELL]
Noda-R2-269Fggaatacctgatagatttgaaggcaaag2269..296[EMPTY_CELL]
Noda-R2-810Rggcaatgtttggataccctccaatatgtcg2781..810[EMPTY_CELL]
Noda-D4acatccagatccgatcaagt2491..510[EMPTY_CELL]
Noda-U4gccaggaatgttgcttgcaa21161..1180[EMPTY_CELL]
PrimerSequence (5'-3')gp64Position*[EMPTY_CELL]
C-177Fsattttggacgctgagggc[EMPTY_CELL]109139..109156[EMPTY_CELL]
L-330Rscttgttgatgtgcgcatgcatcagctc[EMPTY_CELL]108731..108757[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Primer\", \"bbox\": [11, 3, 37, 13]}, {\"cell\": \"Sequence (5'-3')\", \"bbox\": [89, 3, 147, 13]}, {\"cell\": \"TNCL RNA segment\", \"bbox\": [235, 3, 305, 13]}, {\"cell\": \"Position on viral genome*\", \"bbox\": [331, 3, 391, 23]}, {\"cell\": \"Direction\", \"bbox\": [435, 3, 470, 13]}, {\"cell\": \"Noda-R1-190F\", \"bbox\": [11, 39, 60, 49]}, {\"cell\": \"gggaaccgagttacacgcgcattgc\", \"bbox\": [89, 39, 186, 49]}, {\"cell\": \"1\", \"bbox\": [271, 39, 277, 49]}, {\"cell\": \"190..214\", \"bbox\": [331, 39, 361, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [451, 39, 458, 49]}, {\"cell\": \"Noda-R1-636R\", \"bbox\": [11, 53, 61, 63]}, {\"cell\": \"ggtgaatggtgagtcagcatc\", \"bbox\": [89, 53, 170, 63]}, {\"cell\": \"1\", \"bbox\": [271, 53, 277, 63]}, {\"cell\": \"616..636\", \"bbox\": [331, 53, 361, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [451, 53, 458, 63]}, {\"cell\": \"Noda-R1-1093F\", \"bbox\": [11, 67, 64, 77]}, {\"cell\": \"caatctgtcaacgctaggcttatcgg\", \"bbox\": [89, 67, 185, 77]}, {\"cell\": \"1\", \"bbox\": [271, 67, 277, 77]}, {\"cell\": \"1093..1188\", \"bbox\": [331, 67, 369, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [451, 67, 458, 77]}, {\"cell\": \"Noda-R1-1531R\", \"bbox\": [11, 81, 65, 91]}, {\"cell\": \"ccgccctaagttgtagttgttgggacgg\", \"bbox\": [89, 81, 194, 91]}, {\"cell\": \"1\", \"bbox\": [271, 81, 277, 91]}, {\"cell\": \"1504..1531\", \"bbox\": [331, 81, 369, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [451, 81, 458, 91]}, {\"cell\": \"Noda-R1-2368F\", \"bbox\": [11, 95, 64, 105]}, {\"cell\": \"tgtaccgatgcgcttactccgttgatatcgg\", \"bbox\": [89, 95, 201, 105]}, {\"cell\": \"1\", \"bbox\": [271, 95, 277, 105]}, {\"cell\": \"2368..2398\", \"bbox\": [331, 95, 369, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [451, 95, 458, 105]}, {\"cell\": \"Noda-R1-2933R\", \"bbox\": [11, 109, 65, 119]}, {\"cell\": \"ccacgctgggtttctccagcagtgatgttacc\", \"bbox\": [89, 109, 206, 119]}, {\"cell\": \"1\", \"bbox\": [271, 109, 277, 119]}, {\"cell\": \"2902..2933\", \"bbox\": [331, 109, 369, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [451, 109, 458, 119]}, {\"cell\": \"Noda-R2-269F\", \"bbox\": [11, 123, 60, 133]}, {\"cell\": \"ggaatacctgatagatttgaaggcaaag\", \"bbox\": [89, 123, 196, 133]}, {\"cell\": \"2\", \"bbox\": [271, 123, 277, 133]}, {\"cell\": \"269..296\", \"bbox\": [331, 123, 361, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [451, 123, 458, 133]}, {\"cell\": \"Noda-R2-810R\", \"bbox\": [11, 137, 61, 147]}, {\"cell\": \"ggcaatgtttggataccctccaatatgtcg\", \"bbox\": [89, 137, 198, 147]}, {\"cell\": \"2\", \"bbox\": [271, 137, 277, 147]}, {\"cell\": \"781..810\", \"bbox\": [331, 137, 361, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [451, 137, 458, 147]}, {\"cell\": \"Noda-D4\", \"bbox\": [11, 151, 42, 161]}, {\"cell\": \"acatccagatccgatcaagt\", \"bbox\": [89, 151, 164, 161]}, {\"cell\": \"2\", \"bbox\": [271, 151, 277, 161]}, {\"cell\": \"491..510\", \"bbox\": [331, 151, 361, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [451, 151, 458, 161]}, {\"cell\": \"Noda-U4\", \"bbox\": [11, 165, 42, 175]}, {\"cell\": \"gccaggaatgttgcttgcaa\", \"bbox\": [89, 165, 165, 175]}, {\"cell\": \"2\", \"bbox\": [271, 165, 277, 175]}, {\"cell\": \"1161..1180\", \"bbox\": [331, 165, 369, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [451, 165, 458, 175]}, {\"cell\": \"Primer\", \"bbox\": [11, 191, 37, 201]}, {\"cell\": \"Sequence (5'-3')\", \"bbox\": [89, 191, 147, 201]}, {\"cell\": \"gp64\", \"bbox\": [264, 191, 284, 201]}, {\"cell\": \"Position*\", \"bbox\": [331, 191, 366, 201]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [438, 191, 472, 201]}, {\"cell\": \"C-177Fs\", \"bbox\": [11, 217, 39, 227]}, {\"cell\": \"attttggacgctgagggc\", \"bbox\": [89, 217, 158, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"109139..109156\", \"bbox\": [331, 217, 385, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [451, 217, 458, 227]}, {\"cell\": \"L-330Rs\", \"bbox\": [11, 231, 39, 241]}, {\"cell\": \"cttgttgatgtgcgcatgcatcagctc\", \"bbox\": [89, 231, 187, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"108731..108757\", \"bbox\": [331, 231, 385, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [451, 231, 458, 241]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2906426_010_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Stationary samplingnTrichloramine (μg m−3)
AMSDGMGSDRange
Reception15[EMPTY_CELL]1043<1–40
Exercise pool39[EMPTY_CELL]76140250–400
Training pool10[EMPTY_CELL]611701100–290
Whirlpool7[EMPTY_CELL]1203601250–540
Leisure pool4[EMPTY_CELL]212701240–300
Swimming school17[EMPTY_CELL]90170269–400
Baby swimming7[EMPTY_CELL]130160288–460
Aquaerobic4[EMPTY_CELL]1903502180–640
Practice for swimming clubs5[EMPTY_CELL]882701160–400
Attendant office in basement1[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Gym1[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Total110[EMPTY_CELL]1301004<1–640
\", \"cells\": [{\"cell\": \"Stationary sampling\", \"bbox\": [1, 4, 81, 19]}, {\"cell\": \"n\", \"bbox\": [147, 6, 154, 15]}, {\"cell\": \"Trichloramine (μg m−3)\", \"bbox\": [279, 4, 372, 19]}, {\"cell\": \"AM\", \"bbox\": [216, 22, 233, 33]}, {\"cell\": \"SD\", \"bbox\": [264, 22, 279, 33]}, {\"cell\": \"GM\", \"bbox\": [310, 22, 327, 33]}, {\"cell\": \"GSD\", \"bbox\": [350, 22, 371, 33]}, {\"cell\": \"Range\", \"bbox\": [398, 21, 425, 35]}, {\"cell\": \"Reception\", \"bbox\": [1, 45, 41, 57]}, {\"cell\": \"15\", \"bbox\": [148, 45, 160, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 45, 233, 57]}, {\"cell\": \"10\", \"bbox\": [268, 45, 279, 57]}, {\"cell\": \"4\", \"bbox\": [319, 45, 326, 57]}, {\"cell\": \"3\", \"bbox\": [357, 45, 364, 57]}, {\"cell\": \"<1–40\", \"bbox\": [401, 45, 428, 57]}, {\"cell\": \"Exercise pool\", \"bbox\": [1, 62, 53, 74]}, {\"cell\": \"39\", \"bbox\": [148, 62, 160, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 62, 233, 74]}, {\"cell\": \"76\", \"bbox\": [268, 62, 279, 74]}, {\"cell\": \"140\", \"bbox\": [309, 62, 326, 74]}, {\"cell\": \"2\", \"bbox\": [357, 62, 364, 74]}, {\"cell\": \"50–400\", \"bbox\": [402, 62, 433, 74]}, {\"cell\": \"Training pool\", \"bbox\": [1, 79, 53, 91]}, {\"cell\": \"10\", \"bbox\": [148, 79, 160, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 79, 233, 91]}, {\"cell\": \"61\", \"bbox\": [268, 79, 279, 91]}, {\"cell\": \"170\", \"bbox\": [309, 79, 326, 91]}, {\"cell\": \"1\", \"bbox\": [357, 79, 364, 91]}, {\"cell\": \"100–290\", \"bbox\": [397, 79, 433, 91]}, {\"cell\": \"Whirlpool\", \"bbox\": [1, 96, 42, 108]}, {\"cell\": \"7\", \"bbox\": [153, 96, 160, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 96, 233, 108]}, {\"cell\": \"120\", \"bbox\": [263, 96, 279, 108]}, {\"cell\": \"360\", \"bbox\": [309, 96, 326, 108]}, {\"cell\": \"1\", \"bbox\": [357, 96, 364, 108]}, {\"cell\": \"250–540\", \"bbox\": [397, 96, 433, 108]}, {\"cell\": \"Leisure pool\", \"bbox\": [1, 113, 49, 125]}, {\"cell\": \"4\", \"bbox\": [153, 113, 160, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 113, 233, 125]}, {\"cell\": \"21\", \"bbox\": [268, 113, 279, 125]}, {\"cell\": \"270\", \"bbox\": [309, 113, 326, 125]}, {\"cell\": \"1\", \"bbox\": [357, 113, 364, 125]}, {\"cell\": \"240–300\", \"bbox\": [397, 113, 433, 125]}, {\"cell\": \"Swimming school\", \"bbox\": [1, 130, 69, 142]}, {\"cell\": \"17\", \"bbox\": [148, 130, 159, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 130, 233, 142]}, {\"cell\": \"90\", \"bbox\": [268, 130, 279, 142]}, {\"cell\": \"170\", \"bbox\": [309, 130, 326, 142]}, {\"cell\": \"2\", \"bbox\": [357, 130, 364, 142]}, {\"cell\": \"69–400\", \"bbox\": [402, 130, 433, 142]}, {\"cell\": \"Baby swimming\", \"bbox\": [1, 147, 62, 159]}, {\"cell\": \"7\", \"bbox\": [153, 147, 159, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 147, 233, 159]}, {\"cell\": \"130\", \"bbox\": [263, 147, 279, 159]}, {\"cell\": \"160\", \"bbox\": [309, 147, 326, 159]}, {\"cell\": \"2\", \"bbox\": [357, 147, 364, 159]}, {\"cell\": \"88–460\", \"bbox\": [402, 147, 433, 159]}, {\"cell\": \"Aquaerobic\", \"bbox\": [1, 164, 46, 176]}, {\"cell\": \"4\", \"bbox\": [153, 164, 159, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 164, 233, 176]}, {\"cell\": \"190\", \"bbox\": [263, 164, 279, 176]}, {\"cell\": \"350\", \"bbox\": [309, 164, 326, 176]}, {\"cell\": \"2\", \"bbox\": [357, 164, 364, 176]}, {\"cell\": \"180–640\", \"bbox\": [397, 164, 433, 176]}, {\"cell\": \"Practice for swimming clubs\", \"bbox\": [1, 181, 108, 193]}, {\"cell\": \"5\", \"bbox\": [153, 181, 159, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 181, 233, 193]}, {\"cell\": \"88\", \"bbox\": [268, 181, 279, 193]}, {\"cell\": \"270\", \"bbox\": [309, 181, 326, 193]}, {\"cell\": \"1\", \"bbox\": [357, 181, 364, 193]}, {\"cell\": \"160–400\", \"bbox\": [397, 181, 433, 193]}, {\"cell\": \"Attendant office in basement\", \"bbox\": [1, 198, 110, 210]}, {\"cell\": \"1\", \"bbox\": [153, 198, 159, 210]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [221, 198, 233, 210]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Gym\", \"bbox\": [1, 215, 21, 227]}, {\"cell\": \"1\", \"bbox\": [153, 215, 159, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 215, 233, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Total\", \"bbox\": [1, 232, 22, 244]}, {\"cell\": \"110\", \"bbox\": [143, 232, 159, 244]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 232, 233, 244]}, {\"cell\": \"130\", \"bbox\": [263, 232, 279, 244]}, {\"cell\": \"100\", \"bbox\": [309, 232, 326, 244]}, {\"cell\": \"4\", \"bbox\": [357, 232, 364, 244]}, {\"cell\": \"<1–640\", \"bbox\": [401, 232, 432, 244]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4593183_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]Deaths per 1,000 patient years (95% confidence Interval)
DecadeAll deathsIron overload deathsDeaths other causesPatient years[EMPTY_CELL]Iron overload deathsDeaths other causes
Before 1960606263[EMPTY_CELL]0.0 (0.0,14.0)22.8 (8.4,49.7)
1960–69221211,296[EMPTY_CELL]0.8 (0.0, 4.3)16.2 (10.0,24.8)
1970–793721162,871[EMPTY_CELL]7.3 (4.5,11.1)5.6 (3.2,9.1)
1980–895637194,706[EMPTY_CELL]7.9 (5.5,10.8)4.0 (2.4,6.3)
1990–997446285,836[EMPTY_CELL]7.9 (5.8,10.5)4.8 (3.2,6.9)
2000–200311652,584[EMPTY_CELL]2.3 (0.9,5.1)*1.9 (0.6,4.5)
TOTAL2061119517,556[EMPTY_CELL]6.3 (5.2,7.6)5.4 (4.4,6.6)
1980–99130834710,542[EMPTY_CELL]7.9 (6.3,9.8)4.5 (3.3,5.9)
2000–0311652,584[EMPTY_CELL]2.3 (0.9,5.1)*1.9 (0.6,4.5)
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Deaths per 1,000 patient years (95% confidence Interval)\", \"bbox\": [295, 4, 481, 14]}, {\"cell\": \"Decade\", \"bbox\": [4, 27, 32, 36]}, {\"cell\": \"All deaths\", \"bbox\": [54, 27, 89, 36]}, {\"cell\": \"Iron overload deaths\", \"bbox\": [95, 27, 142, 46]}, {\"cell\": \"Deaths other causes\", \"bbox\": [169, 27, 216, 46]}, {\"cell\": \"Patient years\", \"bbox\": [244, 27, 289, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 27, 330, 36]}, {\"cell\": \"Iron overload deaths\", \"bbox\": [355, 27, 402, 46]}, {\"cell\": \"Deaths other causes\", \"bbox\": [429, 27, 476, 46]}, {\"cell\": \"Before 1960\", \"bbox\": [4, 58, 48, 68]}, {\"cell\": \"6\", \"bbox\": [54, 58, 60, 68]}, {\"cell\": \"0\", \"bbox\": [95, 58, 101, 68]}, {\"cell\": \"6\", \"bbox\": [169, 58, 175, 68]}, {\"cell\": \"263\", \"bbox\": [244, 58, 258, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 58, 344, 68]}, {\"cell\": \"0.0 (0.0,14.0)\", \"bbox\": [355, 58, 400, 68]}, {\"cell\": \"22.8 (8.4,49.7)\", \"bbox\": [429, 58, 479, 68]}, {\"cell\": \"1960–69\", \"bbox\": [4, 68, 35, 78]}, {\"cell\": \"22\", \"bbox\": [54, 68, 64, 78]}, {\"cell\": \"1\", \"bbox\": [95, 68, 101, 78]}, {\"cell\": \"21\", \"bbox\": [169, 68, 180, 78]}, {\"cell\": \"1,296\", \"bbox\": [244, 68, 264, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 68, 348, 78]}, {\"cell\": \"0.8 (0.0, 4.3)\", \"bbox\": [354, 68, 398, 78]}, {\"cell\": \"16.2 (10.0,24.8)\", \"bbox\": [429, 68, 483, 78]}, {\"cell\": \"1970–79\", \"bbox\": [4, 79, 35, 88]}, {\"cell\": \"37\", \"bbox\": [54, 79, 64, 88]}, {\"cell\": \"21\", \"bbox\": [95, 79, 105, 88]}, {\"cell\": \"16\", \"bbox\": [169, 79, 180, 88]}, {\"cell\": \"2,871\", \"bbox\": [244, 79, 264, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 79, 344, 88]}, {\"cell\": \"7.3 (4.5,11.1)\", \"bbox\": [354, 79, 400, 88]}, {\"cell\": \"5.6 (3.2,9.1)\", \"bbox\": [429, 79, 470, 88]}, {\"cell\": \"1980–89\", \"bbox\": [4, 89, 35, 99]}, {\"cell\": \"56\", \"bbox\": [54, 89, 64, 99]}, {\"cell\": \"37\", \"bbox\": [95, 89, 105, 99]}, {\"cell\": \"19\", \"bbox\": [169, 89, 180, 99]}, {\"cell\": \"4,706\", \"bbox\": [244, 89, 264, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 89, 344, 99]}, {\"cell\": \"7.9 (5.5,10.8)\", \"bbox\": [354, 89, 400, 99]}, {\"cell\": \"4.0 (2.4,6.3)\", \"bbox\": [429, 89, 470, 99]}, {\"cell\": \"1990–99\", \"bbox\": [4, 99, 35, 109]}, {\"cell\": \"74\", \"bbox\": [54, 99, 64, 109]}, {\"cell\": \"46\", \"bbox\": [95, 99, 105, 109]}, {\"cell\": \"28\", \"bbox\": [169, 99, 180, 109]}, {\"cell\": \"5,836\", \"bbox\": [244, 99, 264, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 99, 348, 109]}, {\"cell\": \"7.9 (5.8,10.5)\", \"bbox\": [354, 99, 400, 109]}, {\"cell\": \"4.8 (3.2,6.9)\", \"bbox\": [429, 99, 470, 109]}, {\"cell\": \"2000–2003\", \"bbox\": [4, 109, 43, 119]}, {\"cell\": \"11\", \"bbox\": [54, 109, 64, 119]}, {\"cell\": \"6\", \"bbox\": [95, 109, 101, 119]}, {\"cell\": \"5\", \"bbox\": [169, 109, 175, 119]}, {\"cell\": \"2,584\", \"bbox\": [244, 109, 264, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 109, 336, 119]}, {\"cell\": \"2.3 (0.9,5.1)*\", \"bbox\": [354, 109, 400, 119]}, {\"cell\": \"1.9 (0.6,4.5)\", \"bbox\": [429, 109, 470, 119]}, {\"cell\": \"TOTAL\", \"bbox\": [4, 132, 33, 141]}, {\"cell\": \"206\", \"bbox\": [54, 132, 68, 141]}, {\"cell\": \"111\", \"bbox\": [95, 132, 109, 141]}, {\"cell\": \"95\", \"bbox\": [169, 132, 180, 141]}, {\"cell\": \"17,556\", \"bbox\": [244, 132, 268, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 132, 348, 141]}, {\"cell\": \"6.3 (5.2,7.6)\", \"bbox\": [355, 132, 396, 141]}, {\"cell\": \"5.4 (4.4,6.6)\", \"bbox\": [429, 132, 470, 141]}, {\"cell\": \"1980–99\", \"bbox\": [4, 154, 35, 164]}, {\"cell\": \"130\", \"bbox\": [54, 154, 68, 164]}, {\"cell\": \"83\", \"bbox\": [95, 154, 105, 164]}, {\"cell\": \"47\", \"bbox\": [169, 154, 180, 164]}, {\"cell\": \"10,542\", \"bbox\": [244, 154, 268, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 154, 348, 164]}, {\"cell\": \"7.9 (6.3,9.8)\", \"bbox\": [355, 154, 396, 164]}, {\"cell\": \"4.5 (3.3,5.9)\", \"bbox\": [429, 154, 470, 164]}, {\"cell\": \"2000–03\", \"bbox\": [4, 164, 35, 174]}, {\"cell\": \"11\", \"bbox\": [54, 164, 64, 174]}, {\"cell\": \"6\", \"bbox\": [95, 164, 101, 174]}, {\"cell\": \"5\", \"bbox\": [169, 164, 175, 174]}, {\"cell\": \"2,584\", \"bbox\": [244, 164, 264, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 164, 336, 174]}, {\"cell\": \"2.3 (0.9,5.1)*\", \"bbox\": [354, 164, 400, 174]}, {\"cell\": \"1.9 (0.6,4.5)\", \"bbox\": [429, 164, 470, 174]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2563008_005_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Dataset# genes# taxaILS level (AD%)# sitesref.
Avian very high ILS (0.5X)[EMPTY_CELL]4860 (VH)500[22]
Avian high ILS (1X)[EMPTY_CELL]4847 (H)250-1500[22]
Avian moderate (2X)[EMPTY_CELL]4829 (M)500[22]
Mammalian high ILS (0.5X)[EMPTY_CELL]3750 (H)250-1000[22]
Mammalian moderate ILS (1X)[EMPTY_CELL]3729 (M)250-1000[22]
Mammalian low ILS (2X)[EMPTY_CELL]3721 (L)250-1000[22]
10-taxon very high ILS[EMPTY_CELL]1089(VH)100[23]
10-taxon high ILS[EMPTY_CELL]1048 (H)100[23]
15-taxon clocklike[EMPTY_CELL]1582 (VH)100-1000[23]
ASTRAL-2 500K-1e6 (MC1)[EMPTY_CELL]20069 (VH)300-1500[8]
ASTRAL-2 2M-1e6 (MC2)[EMPTY_CELL]20033 (M)300-1500[8]
ASTRAL-2 10M-1e6 (MC3)[EMPTY_CELL]20021 (L)300-1500[8]
ASTRAL-2 500K-1e7 (MC4)[EMPTY_CELL]20068 (VH)300-1500[8]
ASTRAL-2 2M-1e7 (MC5)[EMPTY_CELL]20034 (M)300-1500[8]
ASTRAL-2 10M-1e7 (MC6)[EMPTY_CELL]2009 (L)300-1500[8]
ASTRAL-2 2M-1e6 (MC7)[EMPTY_CELL]1017 (L)300-1500[8]
ASTRAL-2 2M-1e6 (MC8)[EMPTY_CELL]5030 (M)300-1500[8]
ASTRAL-2 2M-1e6 (MC9)[EMPTY_CELL]10034 (M)300-1500[8]
ASTRAL-2 2M-1e6 (MC10)[EMPTY_CELL]50034 (M)300-1500[8]
ASTRAL-2 2M-1e6 (MC11)[EMPTY_CELL]100035 (M)300-1500[8]
\", \"cells\": [{\"cell\": \"Dataset\", \"bbox\": [54, 4, 82, 13]}, {\"cell\": \"# genes\", \"bbox\": [157, 4, 186, 13]}, {\"cell\": \"# taxa\", \"bbox\": [225, 4, 249, 13]}, {\"cell\": \"ILS level (AD%)\", \"bbox\": [288, 4, 343, 13]}, {\"cell\": \"# sites\", \"bbox\": [386, 4, 410, 13]}, {\"cell\": \"ref.\", \"bbox\": [453, 4, 466, 13]}, {\"cell\": \"Avian very high ILS (0.5X)\", \"bbox\": [26, 17, 110, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 17, 180, 27]}, {\"cell\": \"48\", \"bbox\": [232, 17, 242, 27]}, {\"cell\": \"60 (VH)\", \"bbox\": [303, 17, 328, 27]}, {\"cell\": \"500\", \"bbox\": [391, 17, 405, 27]}, {\"cell\": \"[22]\", \"bbox\": [453, 17, 467, 27]}, {\"cell\": \"Avian high ILS (1X)\", \"bbox\": [36, 29, 99, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 29, 180, 39]}, {\"cell\": \"48\", \"bbox\": [232, 29, 242, 39]}, {\"cell\": \"47 (H)\", \"bbox\": [305, 29, 326, 39]}, {\"cell\": \"250-1500\", \"bbox\": [383, 29, 414, 39]}, {\"cell\": \"[22]\", \"bbox\": [453, 29, 467, 39]}, {\"cell\": \"Avian moderate (2X)\", \"bbox\": [34, 41, 102, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 41, 180, 51]}, {\"cell\": \"48\", \"bbox\": [232, 41, 242, 51]}, {\"cell\": \"29 (M)\", \"bbox\": [304, 41, 327, 51]}, {\"cell\": \"500\", \"bbox\": [391, 41, 405, 51]}, {\"cell\": \"[22]\", \"bbox\": [453, 41, 467, 51]}, {\"cell\": \"Mammalian high ILS (0.5X)\", \"bbox\": [24, 54, 112, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 54, 178, 64]}, {\"cell\": \"37\", \"bbox\": [232, 54, 242, 64]}, {\"cell\": \"50 (H)\", \"bbox\": [305, 54, 326, 64]}, {\"cell\": \"250-1000\", \"bbox\": [383, 54, 414, 64]}, {\"cell\": \"[22]\", \"bbox\": [453, 54, 467, 64]}, {\"cell\": \"Mammalian moderate ILS (1X)\", \"bbox\": [18, 66, 117, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 66, 178, 76]}, {\"cell\": \"37\", \"bbox\": [232, 66, 242, 76]}, {\"cell\": \"29 (M)\", \"bbox\": [304, 66, 327, 76]}, {\"cell\": \"250-1000\", \"bbox\": [383, 66, 414, 76]}, {\"cell\": \"[22]\", \"bbox\": [453, 66, 467, 76]}, {\"cell\": \"Mammalian low ILS (2X)\", \"bbox\": [28, 78, 108, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 78, 178, 88]}, {\"cell\": \"37\", \"bbox\": [232, 78, 242, 88]}, {\"cell\": \"21 (L)\", \"bbox\": [306, 78, 326, 88]}, {\"cell\": \"250-1000\", \"bbox\": [383, 78, 414, 88]}, {\"cell\": \"[22]\", \"bbox\": [453, 78, 467, 88]}, {\"cell\": \"10-taxon very high ILS\", \"bbox\": [31, 92, 105, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 92, 178, 101]}, {\"cell\": \"10\", \"bbox\": [232, 92, 242, 101]}, {\"cell\": \"89(VH)\", \"bbox\": [304, 92, 327, 101]}, {\"cell\": \"100\", \"bbox\": [391, 92, 405, 101]}, {\"cell\": \"[23]\", \"bbox\": [453, 92, 467, 101]}, {\"cell\": \"10-taxon high ILS\", \"bbox\": [39, 103, 97, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 103, 178, 113]}, {\"cell\": \"10\", \"bbox\": [232, 103, 242, 113]}, {\"cell\": \"48 (H)\", \"bbox\": [305, 103, 326, 113]}, {\"cell\": \"100\", \"bbox\": [391, 103, 405, 113]}, {\"cell\": \"[23]\", \"bbox\": [453, 103, 467, 113]}, {\"cell\": \"15-taxon clocklike\", \"bbox\": [38, 117, 97, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 117, 180, 126]}, {\"cell\": \"15\", \"bbox\": [232, 117, 242, 126]}, {\"cell\": \"82 (VH)\", \"bbox\": [303, 117, 328, 126]}, {\"cell\": \"100-1000\", \"bbox\": [383, 117, 414, 126]}, {\"cell\": \"[23]\", \"bbox\": [453, 117, 467, 126]}, {\"cell\": \"ASTRAL-2 500K-1e6 (MC1)\", \"bbox\": [25, 130, 110, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 130, 180, 139]}, {\"cell\": \"200\", \"bbox\": [230, 130, 244, 139]}, {\"cell\": \"69 (VH)\", \"bbox\": [303, 130, 328, 139]}, {\"cell\": \"300-1500\", \"bbox\": [383, 130, 414, 139]}, {\"cell\": \"[8]\", \"bbox\": [455, 130, 465, 139]}, {\"cell\": \"ASTRAL-2 2M-1e6 (MC2)\", \"bbox\": [28, 142, 108, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 142, 180, 151]}, {\"cell\": \"200\", \"bbox\": [230, 142, 244, 151]}, {\"cell\": \"33 (M)\", \"bbox\": [304, 142, 327, 151]}, {\"cell\": \"300-1500\", \"bbox\": [383, 142, 414, 151]}, {\"cell\": \"[8]\", \"bbox\": [455, 142, 465, 151]}, {\"cell\": \"ASTRAL-2 10M-1e6 (MC3)\", \"bbox\": [26, 154, 110, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 154, 180, 163]}, {\"cell\": \"200\", \"bbox\": [230, 154, 244, 163]}, {\"cell\": \"21 (L)\", \"bbox\": [306, 154, 326, 163]}, {\"cell\": \"300-1500\", \"bbox\": [383, 154, 414, 163]}, {\"cell\": \"[8]\", \"bbox\": [455, 154, 465, 163]}, {\"cell\": \"ASTRAL-2 500K-1e7 (MC4)\", \"bbox\": [25, 166, 110, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 166, 180, 175]}, {\"cell\": \"200\", \"bbox\": [230, 166, 244, 175]}, {\"cell\": \"68 (VH)\", \"bbox\": [303, 166, 328, 175]}, {\"cell\": \"300-1500\", \"bbox\": [383, 166, 414, 175]}, {\"cell\": \"[8]\", \"bbox\": [455, 166, 465, 175]}, {\"cell\": \"ASTRAL-2 2M-1e7 (MC5)\", \"bbox\": [28, 178, 108, 187]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 178, 180, 187]}, {\"cell\": \"200\", \"bbox\": [230, 178, 244, 187]}, {\"cell\": \"34 (M)\", \"bbox\": [304, 178, 327, 187]}, {\"cell\": \"300-1500\", \"bbox\": [383, 178, 414, 187]}, {\"cell\": \"[8]\", \"bbox\": [455, 178, 465, 187]}, {\"cell\": \"ASTRAL-2 10M-1e7 (MC6)\", \"bbox\": [26, 190, 110, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 190, 180, 199]}, {\"cell\": \"200\", \"bbox\": [230, 190, 244, 199]}, {\"cell\": \"9 (L)\", \"bbox\": [308, 190, 324, 199]}, {\"cell\": \"300-1500\", \"bbox\": [383, 190, 414, 199]}, {\"cell\": \"[8]\", \"bbox\": [455, 190, 465, 199]}, {\"cell\": \"ASTRAL-2 2M-1e6 (MC7)\", \"bbox\": [28, 202, 108, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 202, 180, 211]}, {\"cell\": \"10\", \"bbox\": [232, 202, 242, 211]}, {\"cell\": \"17 (L)\", \"bbox\": [306, 202, 326, 211]}, {\"cell\": \"300-1500\", \"bbox\": [383, 202, 414, 211]}, {\"cell\": \"[8]\", \"bbox\": [455, 202, 465, 211]}, {\"cell\": \"ASTRAL-2 2M-1e6 (MC8)\", \"bbox\": [28, 214, 108, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 214, 180, 223]}, {\"cell\": \"50\", \"bbox\": [232, 214, 242, 223]}, {\"cell\": \"30 (M)\", \"bbox\": [304, 214, 327, 223]}, {\"cell\": \"300-1500\", \"bbox\": [383, 214, 414, 223]}, {\"cell\": \"[8]\", \"bbox\": [455, 214, 465, 223]}, {\"cell\": \"ASTRAL-2 2M-1e6 (MC9)\", \"bbox\": [28, 225, 108, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 225, 180, 235]}, {\"cell\": \"100\", \"bbox\": [230, 225, 244, 235]}, {\"cell\": \"34 (M)\", \"bbox\": [304, 225, 327, 235]}, {\"cell\": \"300-1500\", \"bbox\": [383, 225, 414, 235]}, {\"cell\": \"[8]\", \"bbox\": [455, 225, 465, 235]}, {\"cell\": \"ASTRAL-2 2M-1e6 (MC10)\", \"bbox\": [26, 237, 110, 247]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 237, 180, 247]}, {\"cell\": \"500\", \"bbox\": [230, 237, 244, 247]}, {\"cell\": \"34 (M)\", \"bbox\": [304, 237, 327, 247]}, {\"cell\": \"300-1500\", \"bbox\": [383, 237, 414, 247]}, {\"cell\": \"[8]\", \"bbox\": [455, 237, 465, 247]}, {\"cell\": \"ASTRAL-2 2M-1e6 (MC11)\", \"bbox\": [26, 249, 110, 259]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 249, 180, 259]}, {\"cell\": \"1000\", \"bbox\": [228, 249, 246, 259]}, {\"cell\": \"35 (M)\", \"bbox\": [304, 249, 327, 259]}, {\"cell\": \"300-1500\", \"bbox\": [383, 249, 414, 259]}, {\"cell\": \"[8]\", \"bbox\": [455, 249, 465, 259]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4602181_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
StudyStudy 1Study 2
CohortCohort 11Cohort 22Cohort 33Cohort 14
Number of subjects:
Number of subjects planned, N:88[EMPTY_CELL]12
Number of subjects randomized, N:118[EMPTY_CELL]12
Number of subjects completed as planned, n (%):8 (73)7 (88)[EMPTY_CELL]12 (100)
Number of subjects withdrawn (any reason), n (%):3 (27)1 (13)[EMPTY_CELL]0
Withdrawn due to adverse events, n (%)1 (9)1 (13)[EMPTY_CELL]0
Withdrawn due to other reasons, n (%)2 (18)0[EMPTY_CELL]0
Demographics
Age in years (mean (SD))29.0 (8.66)32.6 (10.03)[EMPTY_CELL]30.4 (8.34)
Sex (n (%))
Female00[EMPTY_CELL]0
Male11 (100)8 (100)[EMPTY_CELL]12 (100)
BMI (kg/m2) (mean (SD))24.08 (1.585)23.03 (0.829)[EMPTY_CELL]25.70 (2.884)
Height (cm) (mean (SD))178.6 (6.52)176.1 (5.06)[EMPTY_CELL]178.8 (7.63)
Weight (kg) (mean (SD))77.05 (8.938)71.41 (4.105)[EMPTY_CELL]82.33 (11.235)
Ethnicity (n (%))
Hispanic or Latino1 (9)0[EMPTY_CELL]3 (25)
Not Hispanic or Latino10 (91)8 (100)[EMPTY_CELL]9 (75)
Race (n (%))
African American/African Heritage00[EMPTY_CELL]1 (8)
Asian – South East Asian Heritage01 (13)[EMPTY_CELL]1 (8)
White – White/Caucasian/European Heritage10 (91)7 (88)[EMPTY_CELL]10 (84)
White – mixed race1 (9)0[EMPTY_CELL]0
Mixed race00[EMPTY_CELL]0
\", \"cells\": [{\"cell\": \"Study\", \"bbox\": [3, 3, 26, 13]}, {\"cell\": \"Study 1\", \"bbox\": [286, 3, 315, 13]}, {\"cell\": \"Study 2\", \"bbox\": [417, 3, 446, 13]}, {\"cell\": \"Cohort\", \"bbox\": [3, 15, 29, 24]}, {\"cell\": \"Cohort 11\", \"bbox\": [219, 14, 255, 24]}, {\"cell\": \"Cohort 22\", \"bbox\": [278, 14, 314, 24]}, {\"cell\": \"Cohort 33\", \"bbox\": [342, 14, 378, 24]}, {\"cell\": \"Cohort 14\", \"bbox\": [413, 14, 449, 24]}, {\"cell\": \"Number of subjects:\", \"bbox\": [3, 26, 77, 36]}, {\"cell\": \"Number of subjects planned, N:\", \"bbox\": [3, 38, 117, 47]}, {\"cell\": \"8\", \"bbox\": [234, 38, 240, 47]}, {\"cell\": \"8\", \"bbox\": [293, 38, 299, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [357, 38, 363, 47]}, {\"cell\": \"12\", \"bbox\": [426, 38, 437, 47]}, {\"cell\": \"Number of subjects randomized, N:\", \"bbox\": [3, 49, 131, 59]}, {\"cell\": \"11\", \"bbox\": [232, 49, 242, 59]}, {\"cell\": \"8\", \"bbox\": [293, 49, 299, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [357, 49, 363, 59]}, {\"cell\": \"12\", \"bbox\": [426, 49, 437, 59]}, {\"cell\": \"Number of subjects completed as planned, n (%):\", \"bbox\": [3, 61, 181, 70]}, {\"cell\": \"8 (73)\", \"bbox\": [225, 61, 248, 70]}, {\"cell\": \"7 (88)\", \"bbox\": [285, 61, 308, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [346, 61, 373, 70]}, {\"cell\": \"12 (100)\", \"bbox\": [415, 61, 447, 70]}, {\"cell\": \"Number of subjects withdrawn (any reason), n (%):\", \"bbox\": [3, 72, 185, 82]}, {\"cell\": \"3 (27)\", \"bbox\": [225, 72, 248, 82]}, {\"cell\": \"1 (13)\", \"bbox\": [285, 72, 308, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [357, 72, 363, 82]}, {\"cell\": \"0\", \"bbox\": [428, 72, 434, 82]}, {\"cell\": \"Withdrawn due to adverse events, n (%)\", \"bbox\": [3, 84, 148, 93]}, {\"cell\": \"1 (9)\", \"bbox\": [228, 84, 246, 93]}, {\"cell\": \"1 (13)\", \"bbox\": [285, 84, 308, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [357, 84, 363, 93]}, {\"cell\": \"0\", \"bbox\": [428, 84, 434, 93]}, {\"cell\": \"Withdrawn due to other reasons, n (%)\", \"bbox\": [3, 95, 142, 105]}, {\"cell\": \"2 (18)\", \"bbox\": [225, 95, 248, 105]}, {\"cell\": \"0\", \"bbox\": [293, 95, 299, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [357, 95, 363, 105]}, {\"cell\": \"0\", \"bbox\": [428, 95, 434, 105]}, {\"cell\": \"Demographics\", \"bbox\": [3, 107, 57, 116]}, {\"cell\": \"Age in years (mean (SD))\", \"bbox\": [3, 118, 96, 128]}, {\"cell\": \"29.0 (8.66)\", \"bbox\": [217, 118, 257, 128]}, {\"cell\": \"32.6 (10.03)\", \"bbox\": [274, 118, 319, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 118, 380, 128]}, {\"cell\": \"30.4 (8.34)\", \"bbox\": [411, 118, 452, 128]}, {\"cell\": \"Sex (n (%))\", \"bbox\": [3, 130, 46, 139]}, {\"cell\": \"Female\", \"bbox\": [11, 141, 40, 151]}, {\"cell\": \"0\", \"bbox\": [234, 141, 240, 151]}, {\"cell\": \"0\", \"bbox\": [293, 141, 299, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [357, 141, 363, 151]}, {\"cell\": \"0\", \"bbox\": [428, 141, 434, 151]}, {\"cell\": \"Male\", \"bbox\": [11, 153, 31, 162]}, {\"cell\": \"11 (100)\", \"bbox\": [221, 153, 252, 162]}, {\"cell\": \"8 (100)\", \"bbox\": [282, 153, 310, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [346, 153, 373, 162]}, {\"cell\": \"12 (100)\", \"bbox\": [415, 153, 447, 162]}, {\"cell\": \"BMI (kg/m2) (mean (SD))\", \"bbox\": [3, 163, 94, 174]}, {\"cell\": \"24.08 (1.585)\", \"bbox\": [212, 164, 262, 174]}, {\"cell\": \"23.03 (0.829)\", \"bbox\": [271, 164, 321, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 164, 385, 174]}, {\"cell\": \"25.70 (2.884)\", \"bbox\": [406, 164, 456, 174]}, {\"cell\": \"Height (cm) (mean (SD))\", \"bbox\": [3, 176, 93, 185]}, {\"cell\": \"178.6 (6.52)\", \"bbox\": [214, 176, 259, 185]}, {\"cell\": \"176.1 (5.06)\", \"bbox\": [274, 176, 319, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 176, 382, 185]}, {\"cell\": \"178.8 (7.63)\", \"bbox\": [409, 176, 454, 185]}, {\"cell\": \"Weight (kg) (mean (SD))\", \"bbox\": [3, 187, 92, 197]}, {\"cell\": \"77.05 (8.938)\", \"bbox\": [212, 187, 262, 197]}, {\"cell\": \"71.41 (4.105)\", \"bbox\": [271, 187, 321, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [333, 187, 387, 197]}, {\"cell\": \"82.33 (11.235)\", \"bbox\": [404, 187, 458, 197]}, {\"cell\": \"Ethnicity (n (%))\", \"bbox\": [3, 199, 62, 208]}, {\"cell\": \" Hispanic or Latino\", \"bbox\": [11, 210, 77, 220]}, {\"cell\": \"1 (9)\", \"bbox\": [228, 210, 246, 220]}, {\"cell\": \"0\", \"bbox\": [293, 210, 299, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [348, 210, 371, 220]}, {\"cell\": \"3 (25)\", \"bbox\": [420, 210, 443, 220]}, {\"cell\": \" Not Hispanic or Latino\", \"bbox\": [11, 222, 92, 231]}, {\"cell\": \"10 (91)\", \"bbox\": [223, 222, 251, 231]}, {\"cell\": \"8 (100)\", \"bbox\": [282, 222, 310, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [348, 222, 371, 231]}, {\"cell\": \"9 (75)\", \"bbox\": [420, 222, 443, 231]}, {\"cell\": \"Race (n (%))\", \"bbox\": [3, 233, 51, 243]}, {\"cell\": \" African American/African Heritage\", \"bbox\": [11, 245, 133, 254]}, {\"cell\": \"0\", \"bbox\": [234, 245, 240, 254]}, {\"cell\": \"0\", \"bbox\": [293, 245, 299, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [357, 245, 363, 254]}, {\"cell\": \"1 (8)\", \"bbox\": [422, 245, 440, 254]}, {\"cell\": \" Asian – South East Asian Heritage\", \"bbox\": [11, 256, 135, 266]}, {\"cell\": \"0\", \"bbox\": [234, 256, 240, 266]}, {\"cell\": \"1 (13)\", \"bbox\": [285, 256, 308, 266]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [357, 256, 363, 266]}, {\"cell\": \"1 (8)\", \"bbox\": [422, 256, 440, 266]}, {\"cell\": \" White – White/Caucasian/European Heritage\", \"bbox\": [11, 268, 173, 277]}, {\"cell\": \"10 (91)\", \"bbox\": [223, 268, 251, 277]}, {\"cell\": \"7 (88)\", \"bbox\": [285, 268, 308, 277]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [348, 268, 371, 277]}, {\"cell\": \"10 (84)\", \"bbox\": [417, 268, 445, 277]}, {\"cell\": \" White – mixed race\", \"bbox\": [11, 279, 82, 289]}, {\"cell\": \"1 (9)\", \"bbox\": [228, 279, 246, 289]}, {\"cell\": \"0\", \"bbox\": [293, 279, 299, 289]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [357, 279, 363, 289]}, {\"cell\": \"0\", \"bbox\": [428, 279, 434, 289]}, {\"cell\": \" Mixed race\", \"bbox\": [11, 291, 53, 300]}, {\"cell\": \"0\", \"bbox\": [234, 291, 240, 300]}, {\"cell\": \"0\", \"bbox\": [293, 291, 299, 300]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [348, 291, 371, 300]}, {\"cell\": \"0\", \"bbox\": [428, 291, 434, 300]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5299597_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL][EMPTY_CELL]Non-SDBSDB
[EMPTY_CELL]DimensionMSDMSDΔMCI
1Total face height (pg-men)93.505.6393.755.56[EMPTY_CELL](−0.61 to 0.11)
Total face height (pg-g)113.466.12113.806.100.33[EMPTY_CELL]
Total face height (pg-n)101.466.17101.856.220.39[EMPTY_CELL]
Lower face height (Is-pg)36.543.5236.833.600.28[EMPTY_CELL]
Total face height (li-men)74.734.6974.974.740.24[EMPTY_CELL]
Mid-face height (Is-men)61.694.0061.663.960.03[EMPTY_CELL]
Mid-face angle (exR-pg-exL)49.672.6049.412.680.26[EMPTY_CELL]
2Outer eyes distance (exR-exL)87.683.9187.334.11[EMPTY_CELL](−0.08 to 0.60)
Inner eyes distance (enL-enR)34.312.8634.162.910.14[EMPTY_CELL]
Nose width (alL-alR)33.642.7033.502.720.72[EMPTY_CELL]
3Nose prominence (prn-sn)19.791.8719.661.87[EMPTY_CELL](0.00 to 0.24)
Mid-face height (n-sn)52.343.8252.343.840.00[EMPTY_CELL]
Mid-face height (sn-men)48.303.4948.113.410.18[EMPTY_CELL]
4Maxilla angle (n-sn-pg)162.455.69162.325.63[EMPTY_CELL](−0.23 to 0.50)
Philtrum angle (prn-sn-Is)127.128.78127.358.850.22[EMPTY_CELL]
Nose angle (n-prn-sn)100.564.57100.884.760.31[EMPTY_CELL]
5Mandible angle(g-men-pg)133.426.72134.296.60[EMPTY_CELL](−1.30 to −0.42)
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Non-SDB\", \"bbox\": [183, 5, 225, 14]}, {\"cell\": \"SDB\", \"bbox\": [285, 5, 306, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Dimension\", \"bbox\": [34, 18, 82, 27]}, {\"cell\": \"M\", \"bbox\": [183, 18, 193, 27]}, {\"cell\": \"SD\", \"bbox\": [239, 18, 254, 27]}, {\"cell\": \"M\", \"bbox\": [286, 18, 295, 27]}, {\"cell\": \"SD\", \"bbox\": [342, 18, 356, 27]}, {\"cell\": \"ΔM\", \"bbox\": [388, 18, 402, 27]}, {\"cell\": \"CI\", \"bbox\": [434, 18, 445, 27]}, {\"cell\": \"1\", \"bbox\": [1, 33, 7, 44]}, {\"cell\": \"Total face height (pg-men)\", \"bbox\": [34, 33, 142, 44]}, {\"cell\": \"93.50\", \"bbox\": [188, 33, 213, 44]}, {\"cell\": \"5.63\", \"bbox\": [239, 33, 259, 44]}, {\"cell\": \"93.75\", \"bbox\": [290, 33, 315, 44]}, {\"cell\": \"5.56\", \"bbox\": [342, 33, 361, 44]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [388, 33, 407, 44]}, {\"cell\": \"(−0.61 to 0.11)\", \"bbox\": [434, 33, 495, 44]}, {\"cell\": \"Total face height (pg-g)\", \"bbox\": [34, 44, 130, 55]}, {\"cell\": \"113.46\", \"bbox\": [183, 44, 213, 55]}, {\"cell\": \"6.12\", \"bbox\": [239, 44, 259, 55]}, {\"cell\": \"113.80\", \"bbox\": [286, 44, 315, 55]}, {\"cell\": \"6.10\", \"bbox\": [342, 44, 361, 55]}, {\"cell\": \"0.33\", \"bbox\": [388, 44, 407, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 44, 495, 55]}, {\"cell\": \"Total face height (pg-n)\", \"bbox\": [34, 55, 130, 66]}, {\"cell\": \"101.46\", \"bbox\": [183, 55, 213, 66]}, {\"cell\": \"6.17\", \"bbox\": [239, 55, 259, 66]}, {\"cell\": \"101.85\", \"bbox\": [286, 55, 315, 66]}, {\"cell\": \"6.22\", \"bbox\": [342, 55, 361, 66]}, {\"cell\": \"0.39\", \"bbox\": [388, 55, 407, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 55, 495, 66]}, {\"cell\": \"Lower face height (Is-pg)\", \"bbox\": [34, 66, 135, 77]}, {\"cell\": \"36.54\", \"bbox\": [188, 66, 213, 77]}, {\"cell\": \"3.52\", \"bbox\": [239, 66, 259, 77]}, {\"cell\": \"36.83\", \"bbox\": [290, 66, 315, 77]}, {\"cell\": \"3.60\", \"bbox\": [342, 66, 361, 77]}, {\"cell\": \"0.28\", \"bbox\": [388, 66, 407, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 66, 501, 77]}, {\"cell\": \"Total face height (li-men)\", \"bbox\": [34, 77, 135, 88]}, {\"cell\": \"74.73\", \"bbox\": [188, 77, 213, 88]}, {\"cell\": \"4.69\", \"bbox\": [239, 77, 259, 88]}, {\"cell\": \"74.97\", \"bbox\": [290, 77, 315, 88]}, {\"cell\": \"4.74\", \"bbox\": [342, 77, 361, 88]}, {\"cell\": \"0.24\", \"bbox\": [388, 77, 407, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 77, 495, 88]}, {\"cell\": \"Mid-face height (Is-men)\", \"bbox\": [34, 88, 133, 99]}, {\"cell\": \"61.69\", \"bbox\": [188, 88, 213, 99]}, {\"cell\": \"4.00\", \"bbox\": [239, 88, 259, 99]}, {\"cell\": \"61.66\", \"bbox\": [290, 88, 315, 99]}, {\"cell\": \"3.96\", \"bbox\": [342, 88, 361, 99]}, {\"cell\": \"0.03\", \"bbox\": [388, 88, 407, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 88, 495, 99]}, {\"cell\": \"Mid-face angle (exR-pg-exL)\", \"bbox\": [34, 99, 149, 110]}, {\"cell\": \"49.67\", \"bbox\": [188, 99, 213, 110]}, {\"cell\": \"2.60\", \"bbox\": [239, 99, 259, 110]}, {\"cell\": \"49.41\", \"bbox\": [290, 99, 315, 110]}, {\"cell\": \"2.68\", \"bbox\": [342, 99, 361, 110]}, {\"cell\": \"0.26\", \"bbox\": [388, 99, 407, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 99, 495, 110]}, {\"cell\": \"2\", \"bbox\": [1, 110, 7, 121]}, {\"cell\": \"Outer eyes distance (exR-exL)\", \"bbox\": [34, 110, 157, 121]}, {\"cell\": \"87.68\", \"bbox\": [188, 110, 213, 121]}, {\"cell\": \"3.91\", \"bbox\": [239, 110, 259, 121]}, {\"cell\": \"87.33\", \"bbox\": [290, 110, 315, 121]}, {\"cell\": \"4.11\", \"bbox\": [342, 110, 361, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [388, 110, 407, 121]}, {\"cell\": \"(−0.08 to 0.60)\", \"bbox\": [434, 110, 495, 121]}, {\"cell\": \"Inner eyes distance (enL-enR)\", \"bbox\": [34, 121, 156, 132]}, {\"cell\": \"34.31\", \"bbox\": [188, 121, 213, 132]}, {\"cell\": \"2.86\", \"bbox\": [239, 121, 259, 132]}, {\"cell\": \"34.16\", \"bbox\": [290, 121, 315, 132]}, {\"cell\": \"2.91\", \"bbox\": [342, 121, 361, 132]}, {\"cell\": \"0.14\", \"bbox\": [388, 121, 407, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 121, 495, 132]}, {\"cell\": \"Nose width (alL-alR)\", \"bbox\": [34, 132, 117, 143]}, {\"cell\": \"33.64\", \"bbox\": [188, 132, 213, 143]}, {\"cell\": \"2.70\", \"bbox\": [239, 132, 259, 143]}, {\"cell\": \"33.50\", \"bbox\": [290, 132, 315, 143]}, {\"cell\": \"2.72\", \"bbox\": [342, 132, 361, 143]}, {\"cell\": \"0.72\", \"bbox\": [388, 132, 407, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 132, 501, 143]}, {\"cell\": \"3\", \"bbox\": [1, 143, 7, 154]}, {\"cell\": \"Nose prominence (prn-sn)\", \"bbox\": [34, 143, 141, 154]}, {\"cell\": \"19.79\", \"bbox\": [188, 143, 213, 154]}, {\"cell\": \"1.87\", \"bbox\": [239, 143, 259, 154]}, {\"cell\": \"19.66\", \"bbox\": [290, 143, 315, 154]}, {\"cell\": \"1.87\", \"bbox\": [342, 143, 361, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [388, 143, 407, 154]}, {\"cell\": \"(0.00 to 0.24)\", \"bbox\": [434, 143, 489, 154]}, {\"cell\": \"Mid-face height (n-sn)\", \"bbox\": [34, 154, 123, 165]}, {\"cell\": \"52.34\", \"bbox\": [188, 154, 213, 165]}, {\"cell\": \"3.82\", \"bbox\": [239, 154, 259, 165]}, {\"cell\": \"52.34\", \"bbox\": [290, 154, 315, 165]}, {\"cell\": \"3.84\", \"bbox\": [342, 154, 361, 165]}, {\"cell\": \"0.00\", \"bbox\": [388, 154, 407, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 154, 495, 165]}, {\"cell\": \"Mid-face height (sn-men)\", \"bbox\": [34, 165, 136, 176]}, {\"cell\": \"48.30\", \"bbox\": [188, 165, 213, 176]}, {\"cell\": \"3.49\", \"bbox\": [239, 165, 259, 176]}, {\"cell\": \"48.11\", \"bbox\": [290, 165, 315, 176]}, {\"cell\": \"3.41\", \"bbox\": [342, 165, 361, 176]}, {\"cell\": \"0.18\", \"bbox\": [388, 165, 407, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 165, 495, 176]}, {\"cell\": \"4\", \"bbox\": [0, 176, 7, 187]}, {\"cell\": \"Maxilla angle (n-sn-pg)\", \"bbox\": [34, 176, 127, 187]}, {\"cell\": \"162.45\", \"bbox\": [183, 176, 213, 187]}, {\"cell\": \"5.69\", \"bbox\": [239, 176, 259, 187]}, {\"cell\": \"162.32\", \"bbox\": [285, 176, 315, 187]}, {\"cell\": \"5.63\", \"bbox\": [342, 176, 361, 187]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [388, 176, 407, 187]}, {\"cell\": \"(−0.23 to 0.50)\", \"bbox\": [434, 176, 495, 187]}, {\"cell\": \"Philtrum angle (prn-sn-Is)\", \"bbox\": [34, 187, 138, 198]}, {\"cell\": \"127.12\", \"bbox\": [183, 187, 213, 198]}, {\"cell\": \"8.78\", \"bbox\": [239, 187, 259, 198]}, {\"cell\": \"127.35\", \"bbox\": [285, 187, 315, 198]}, {\"cell\": \"8.85\", \"bbox\": [342, 187, 361, 198]}, {\"cell\": \"0.22\", \"bbox\": [388, 187, 407, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 187, 495, 198]}, {\"cell\": \"Nose angle (n-prn-sn)\", \"bbox\": [34, 198, 123, 209]}, {\"cell\": \"100.56\", \"bbox\": [183, 198, 213, 209]}, {\"cell\": \"4.57\", \"bbox\": [239, 198, 259, 209]}, {\"cell\": \"100.88\", \"bbox\": [285, 198, 315, 209]}, {\"cell\": \"4.76\", \"bbox\": [342, 198, 361, 209]}, {\"cell\": \"0.31\", \"bbox\": [388, 198, 407, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 198, 501, 209]}, {\"cell\": \"5\", \"bbox\": [0, 209, 7, 220]}, {\"cell\": \"Mandible angle(g-men-pg)\", \"bbox\": [34, 209, 141, 220]}, {\"cell\": \"133.42\", \"bbox\": [183, 209, 213, 220]}, {\"cell\": \"6.72\", \"bbox\": [239, 209, 259, 220]}, {\"cell\": \"134.29\", \"bbox\": [285, 209, 315, 220]}, {\"cell\": \"6.60\", \"bbox\": [342, 209, 361, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [388, 209, 407, 220]}, {\"cell\": \"(−1.30 to −0.42)\", \"bbox\": [434, 209, 501, 220]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4563226_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]TotalMaleFemale
[EMPTY_CELL]Inpatients, (n = 759)Outpatients, (n = 427)P valueInpatients, (n = 355)Outpatients, (n = 215)P valueInpatients, (n = 404)Outpatients, (n = 212)P value
Age (years)59.9 ± 12.945.6 ± 13.6[EMPTY_CELL]58.3 ± 13.145.2 ± 13.5< 0.00161.4 ± 12.546.0 ± 13.7< 0.001
Height (cm)158.3 ± 9.8162.6 ± 9.9[EMPTY_CELL]165.1 ± 7.2168.5 ± 6.6< 0.001152.3 ± 7.7156.4 ± 8.9< 0.001
Weight (kg)55.7 ± 11.869.3 ± 14.4[EMPTY_CELL]60.8 ± 11.675.2 ± 11.9< 0.00151.2 ± 10.163.2 ± 14.2< 0.001
BMI (kg/m2)22.1 ± 4.026.5 ± 11.4[EMPTY_CELL]22.2 ± 4.026.5 ± 3.9< 0.00122.0 ± 4.026.6 ± 15.7< 0.001
Waist circumference (cm)82.9 ± 10.790.3 ± 12.4[EMPTY_CELL]82.9 ± 10.392.8 ± 10.7< 0.00183.0 ± 11.087.5 ± 13.4< 0.05
Systolic BP (mmHg)117.8 ± 16.1127.9 ± 20.0[EMPTY_CELL]119.6 ± 16.5131.4 ± 19.8< 0.001116.2 ± 15.5124.4 ± 18.8< 0.001
Diastolic BP (mmHg)73.3 ± 11.678.7 ± 13.1[EMPTY_CELL]75.2 ± 12.180.9 ± 12.9< 0.00171.7 ± 10.876.5 ± 13.0< 0.001
HDL-C (mg/dl)55.0 ± 15.353.8 ± 16.1[EMPTY_CELL]49.8 ± 12.549.3 ± 15.3NS59.5 ± 16.158.4 ± 15.6NS
Triglyceride (mg/dl)96.7 ± 56.5167.8 ± 126.1[EMPTY_CELL]99.1 ± 63.6202.3 ± 148.4< 0.00194.6 ± 49.5133.2 ± 86.2< 0.001
Fasting glucose (mg/dl)90.6 ± 18.6115.7 ± 52.2[EMPTY_CELL]91.0 ± 20.9118.1 ± 53.2< 0.00190.3 ± 16.3113.3 ± 51.2< 0.001
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Total\", \"bbox\": [86, 4, 105, 13]}, {\"cell\": \"Male\", \"bbox\": [273, 4, 292, 13]}, {\"cell\": \"Female\", \"bbox\": [460, 4, 487, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Inpatients, (n = 759)\", \"bbox\": [86, 17, 141, 35]}, {\"cell\": \"Outpatients, (n = 427)\", \"bbox\": [161, 17, 222, 35]}, {\"cell\": \"P value\", \"bbox\": [242, 18, 263, 35]}, {\"cell\": \"Inpatients, (n = 355)\", \"bbox\": [273, 17, 328, 35]}, {\"cell\": \"Outpatients, (n = 215)\", \"bbox\": [348, 17, 409, 35]}, {\"cell\": \"P value\", \"bbox\": [429, 18, 450, 35]}, {\"cell\": \"Inpatients, (n = 404)\", \"bbox\": [460, 17, 515, 35]}, {\"cell\": \"Outpatients, (n = 212)\", \"bbox\": [535, 17, 596, 35]}, {\"cell\": \"P value\", \"bbox\": [616, 18, 637, 35]}, {\"cell\": \"Age (years)\", \"bbox\": [1, 39, 38, 49]}, {\"cell\": \"59.9 ± 12.9\", \"bbox\": [86, 39, 124, 49]}, {\"cell\": \"45.6 ± 13.6\", \"bbox\": [161, 39, 199, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [242, 39, 268, 49]}, {\"cell\": \"58.3 ± 13.1\", \"bbox\": [273, 39, 311, 49]}, {\"cell\": \"45.2 ± 13.5\", \"bbox\": [348, 39, 386, 49]}, {\"cell\": \"< 0.001\", \"bbox\": [429, 39, 455, 49]}, {\"cell\": \"61.4 ± 12.5\", \"bbox\": [460, 39, 497, 49]}, {\"cell\": \"46.0 ± 13.7\", \"bbox\": [535, 39, 573, 49]}, {\"cell\": \"< 0.001\", \"bbox\": [616, 39, 642, 49]}, {\"cell\": \"Height (cm)\", \"bbox\": [1, 51, 41, 61]}, {\"cell\": \"158.3 ± 9.8\", \"bbox\": [86, 51, 124, 61]}, {\"cell\": \"162.6 ± 9.9\", \"bbox\": [161, 51, 199, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [242, 51, 268, 61]}, {\"cell\": \"165.1 ± 7.2\", \"bbox\": [273, 51, 311, 61]}, {\"cell\": \"168.5 ± 6.6\", \"bbox\": [348, 51, 386, 61]}, {\"cell\": \"< 0.001\", \"bbox\": [429, 51, 455, 61]}, {\"cell\": \"152.3 ± 7.7\", \"bbox\": [460, 51, 498, 61]}, {\"cell\": \"156.4 ± 8.9\", \"bbox\": [535, 51, 573, 61]}, {\"cell\": \"< 0.001\", \"bbox\": [616, 51, 642, 61]}, {\"cell\": \"Weight (kg)\", \"bbox\": [1, 63, 40, 73]}, {\"cell\": \"55.7 ± 11.8\", \"bbox\": [86, 63, 124, 73]}, {\"cell\": \"69.3 ± 14.4\", \"bbox\": [161, 63, 199, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [242, 63, 268, 73]}, {\"cell\": \"60.8 ± 11.6\", \"bbox\": [273, 63, 311, 73]}, {\"cell\": \"75.2 ± 11.9\", \"bbox\": [348, 63, 386, 73]}, {\"cell\": \"< 0.001\", \"bbox\": [429, 63, 455, 73]}, {\"cell\": \"51.2 ± 10.1\", \"bbox\": [460, 63, 497, 73]}, {\"cell\": \"63.2 ± 14.2\", \"bbox\": [535, 63, 573, 73]}, {\"cell\": \"< 0.001\", \"bbox\": [616, 63, 642, 73]}, {\"cell\": \"BMI (kg/m2)\", \"bbox\": [1, 74, 41, 85]}, {\"cell\": \"22.1 ± 4.0\", \"bbox\": [86, 75, 120, 85]}, {\"cell\": \"26.5 ± 11.4\", \"bbox\": [161, 75, 199, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [242, 75, 268, 85]}, {\"cell\": \"22.2 ± 4.0\", \"bbox\": [273, 75, 307, 85]}, {\"cell\": \"26.5 ± 3.9\", \"bbox\": [348, 75, 382, 85]}, {\"cell\": \"< 0.001\", \"bbox\": [429, 75, 455, 85]}, {\"cell\": \"22.0 ± 4.0\", \"bbox\": [460, 75, 494, 85]}, {\"cell\": \"26.6 ± 15.7\", \"bbox\": [535, 75, 573, 85]}, {\"cell\": \"< 0.001\", \"bbox\": [616, 75, 642, 85]}, {\"cell\": \"Waist circumference (cm)\", \"bbox\": [1, 87, 67, 106]}, {\"cell\": \"82.9 ± 10.7\", \"bbox\": [86, 87, 124, 97]}, {\"cell\": \"90.3 ± 12.4\", \"bbox\": [161, 87, 199, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [242, 87, 268, 97]}, {\"cell\": \"82.9 ± 10.3\", \"bbox\": [273, 87, 311, 97]}, {\"cell\": \"92.8 ± 10.7\", \"bbox\": [348, 87, 386, 97]}, {\"cell\": \"< 0.001\", \"bbox\": [429, 87, 455, 97]}, {\"cell\": \"83.0 ± 11.0\", \"bbox\": [460, 87, 497, 97]}, {\"cell\": \"87.5 ± 13.4\", \"bbox\": [535, 87, 573, 97]}, {\"cell\": \"< 0.05\", \"bbox\": [616, 87, 638, 97]}, {\"cell\": \"Systolic BP (mmHg)\", \"bbox\": [1, 108, 66, 118]}, {\"cell\": \"117.8 ± 16.1\", \"bbox\": [86, 108, 127, 118]}, {\"cell\": \"127.9 ± 20.0\", \"bbox\": [161, 108, 202, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [242, 108, 268, 118]}, {\"cell\": \"119.6 ± 16.5\", \"bbox\": [273, 108, 314, 118]}, {\"cell\": \"131.4 ± 19.8\", \"bbox\": [348, 108, 389, 118]}, {\"cell\": \"< 0.001\", \"bbox\": [429, 108, 455, 118]}, {\"cell\": \"116.2 ± 15.5\", \"bbox\": [460, 108, 501, 118]}, {\"cell\": \"124.4 ± 18.8\", \"bbox\": [535, 108, 576, 118]}, {\"cell\": \"< 0.001\", \"bbox\": [616, 108, 642, 118]}, {\"cell\": \"Diastolic BP (mmHg)\", \"bbox\": [1, 120, 69, 130]}, {\"cell\": \"73.3 ± 11.6\", \"bbox\": [86, 120, 124, 130]}, {\"cell\": \"78.7 ± 13.1\", \"bbox\": [161, 120, 199, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [242, 120, 268, 130]}, {\"cell\": \"75.2 ± 12.1\", \"bbox\": [273, 120, 311, 130]}, {\"cell\": \"80.9 ± 12.9\", \"bbox\": [348, 120, 386, 130]}, {\"cell\": \"< 0.001\", \"bbox\": [429, 120, 455, 130]}, {\"cell\": \"71.7 ± 10.8\", \"bbox\": [460, 120, 497, 130]}, {\"cell\": \"76.5 ± 13.0\", \"bbox\": [535, 120, 573, 130]}, {\"cell\": \"< 0.001\", \"bbox\": [616, 120, 642, 130]}, {\"cell\": \"HDL-C (mg/dl)\", \"bbox\": [1, 132, 49, 142]}, {\"cell\": \"55.0 ± 15.3\", \"bbox\": [86, 132, 124, 142]}, {\"cell\": \"53.8 ± 16.1\", \"bbox\": [161, 132, 199, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [242, 132, 253, 142]}, {\"cell\": \"49.8 ± 12.5\", \"bbox\": [273, 132, 311, 142]}, {\"cell\": \"49.3 ± 15.3\", \"bbox\": [348, 132, 386, 142]}, {\"cell\": \"NS\", \"bbox\": [429, 132, 440, 142]}, {\"cell\": \"59.5 ± 16.1\", \"bbox\": [460, 132, 497, 142]}, {\"cell\": \"58.4 ± 15.6\", \"bbox\": [535, 132, 573, 142]}, {\"cell\": \"NS\", \"bbox\": [616, 132, 627, 142]}, {\"cell\": \"Triglyceride (mg/dl)\", \"bbox\": [0, 144, 65, 153]}, {\"cell\": \"96.7 ± 56.5\", \"bbox\": [86, 144, 124, 153]}, {\"cell\": \"167.8 ± 126.1\", \"bbox\": [161, 144, 206, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [242, 144, 268, 153]}, {\"cell\": \"99.1 ± 63.6\", \"bbox\": [273, 144, 311, 153]}, {\"cell\": \"202.3 ± 148.4\", \"bbox\": [348, 144, 393, 153]}, {\"cell\": \"< 0.001\", \"bbox\": [429, 144, 455, 153]}, {\"cell\": \"94.6 ± 49.5\", \"bbox\": [460, 144, 497, 153]}, {\"cell\": \"133.2 ± 86.2\", \"bbox\": [535, 144, 576, 153]}, {\"cell\": \"< 0.001\", \"bbox\": [616, 144, 642, 153]}, {\"cell\": \"Fasting glucose (mg/dl)\", \"bbox\": [0, 156, 79, 165]}, {\"cell\": \"90.6 ± 18.6\", \"bbox\": [86, 156, 124, 165]}, {\"cell\": \"115.7 ± 52.2\", \"bbox\": [161, 156, 202, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [242, 156, 268, 165]}, {\"cell\": \"91.0 ± 20.9\", \"bbox\": [273, 156, 311, 165]}, {\"cell\": \"118.1 ± 53.2\", \"bbox\": [348, 156, 389, 165]}, {\"cell\": \"< 0.001\", \"bbox\": [429, 156, 455, 165]}, {\"cell\": \"90.3 ± 16.3\", \"bbox\": [460, 156, 497, 165]}, {\"cell\": \"113.3 ± 51.2\", \"bbox\": [535, 156, 576, 165]}, {\"cell\": \"< 0.001\", \"bbox\": [616, 156, 642, 165]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3179440_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Residents (n = 396)
Age in years; mean (SD)[EMPTY_CELL]
Women in % (n)[EMPTY_CELL]
Time being in the SHA in years; mean (SD)[EMPTY_CELL]
Medical diagnosis of dementia in % (n)[EMPTY_CELL]
Severity of dementia (GDS) in % (n)[EMPTY_CELL]
≤ 5 (moderately severe cognitive decline)[EMPTY_CELL]
6 (severe cognitive decline)[EMPTY_CELL]
7 (very severe cognitive decline)[EMPTY_CELL]
Challenging behavior (CMAI) in % (n)[EMPTY_CELL]
Physically nonaggressive behavior[EMPTY_CELL]
Verbally agitated behavior[EMPTY_CELL]
Aggressive behavior[EMPTY_CELL]
At least one need-driven behavior[EMPTY_CELL]
With family members in % (n)[EMPTY_CELL]
Weekly family visits in % (n)*[EMPTY_CELL]
Living situation before admission into SHA in % (n)[EMPTY_CELL]
Alone[EMPTY_CELL]
With family member/partner[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Residents (n = 396)\", \"bbox\": [201, 4, 236, 22]}, {\"cell\": \"Age in years; mean (SD)\", \"bbox\": [1, 26, 80, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 26, 235, 36]}, {\"cell\": \"Women in % (n)\", \"bbox\": [1, 40, 56, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 40, 234, 50]}, {\"cell\": \"Time being in the SHA in years; mean (SD)\", \"bbox\": [1, 54, 81, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 54, 228, 64]}, {\"cell\": \"Medical diagnosis of dementia in % (n)\", \"bbox\": [1, 77, 74, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 77, 234, 87]}, {\"cell\": \"Severity of dementia (GDS) in % (n)\", \"bbox\": [1, 100, 75, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"≤ 5 (moderately severe cognitive decline)\", \"bbox\": [1, 123, 77, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 123, 230, 133]}, {\"cell\": \"6 (severe cognitive decline)\", \"bbox\": [1, 146, 90, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 146, 234, 156]}, {\"cell\": \"7 (very severe cognitive decline)\", \"bbox\": [1, 160, 79, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 160, 234, 170]}, {\"cell\": \"Challenging behavior (CMAI) in % (n)\", \"bbox\": [1, 183, 77, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Physically nonaggressive behavior\", \"bbox\": [1, 206, 81, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 206, 234, 216]}, {\"cell\": \"Verbally agitated behavior\", \"bbox\": [1, 229, 86, 239]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 229, 234, 239]}, {\"cell\": \"Aggressive behavior\", \"bbox\": [1, 243, 67, 253]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 243, 230, 253]}, {\"cell\": \"At least one need-driven behavior\", \"bbox\": [1, 257, 82, 276]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 257, 234, 267]}, {\"cell\": \"With family members in % (n)\", \"bbox\": [1, 280, 77, 299]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 280, 234, 290]}, {\"cell\": \"Weekly family visits in % (n)*\", \"bbox\": [1, 303, 101, 313]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 303, 234, 313]}, {\"cell\": \"Living situation before admission into SHA in % (n)\", \"bbox\": [1, 317, 98, 336]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Alone\", \"bbox\": [1, 340, 21, 350]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 340, 234, 350]}, {\"cell\": \"With family member/partner\", \"bbox\": [1, 354, 94, 364]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 354, 234, 364]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4347913_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Category of significant benefitClasses of significant benefitAssumptions
[EMPTY_CELL][EMPTY_CELL]N = 130%
Improved efficacyDifferent mechanism of action47[EMPTY_CELL]
[EMPTY_CELL]Sub-group (including patients who do not respond[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]on current treatments)27[EMPTY_CELL]
[EMPTY_CELL]Alternative/additional treatment14[EMPTY_CELL]
[EMPTY_CELL]Improve the long-term outcome of the patient12[EMPTY_CELL]
[EMPTY_CELL]More effective (unspecified)10[EMPTY_CELL]
[EMPTY_CELL]Improve the treatment (unspecified)1[EMPTY_CELL]
[EMPTY_CELL]Total111[EMPTY_CELL]
Improved safetyFewer side effects5[EMPTY_CELL]
[EMPTY_CELL]Increased tolerability2[EMPTY_CELL]
[EMPTY_CELL]Improved safety (unspecified)2[EMPTY_CELL]
[EMPTY_CELL]Total9[EMPTY_CELL]
Contribution to patient careMode of administration9[EMPTY_CELL]
[EMPTY_CELL]Wider availability1[EMPTY_CELL]
[EMPTY_CELL]Total10[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Category of significant benefit\", \"bbox\": [1, 4, 109, 13]}, {\"cell\": \"Classes of significant benefit\", \"bbox\": [150, 4, 251, 13]}, {\"cell\": \"Assumptions\", \"bbox\": [359, 4, 406, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"N = 130\", \"bbox\": [359, 16, 389, 25]}, {\"cell\": \"%\", \"bbox\": [431, 16, 439, 25]}, {\"cell\": \"Improved efficacy\", \"bbox\": [1, 29, 65, 39]}, {\"cell\": \"Different mechanism of action\", \"bbox\": [150, 29, 250, 39]}, {\"cell\": \"47\", \"bbox\": [359, 29, 369, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 29, 445, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Sub-group (including patients who do not respond\", \"bbox\": [150, 41, 318, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"on current treatments)\", \"bbox\": [150, 53, 225, 63]}, {\"cell\": \"27\", \"bbox\": [359, 53, 369, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 53, 445, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Alternative/additional treatment\", \"bbox\": [150, 65, 254, 75]}, {\"cell\": \"14\", \"bbox\": [359, 65, 369, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 65, 445, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Improve the long-term outcome of the patient\", \"bbox\": [150, 77, 304, 86]}, {\"cell\": \"12\", \"bbox\": [359, 77, 369, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 77, 442, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"More effective (unspecified)\", \"bbox\": [150, 89, 241, 98]}, {\"cell\": \"10\", \"bbox\": [359, 89, 369, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 89, 442, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Improve the treatment (unspecified)\", \"bbox\": [150, 101, 268, 110]}, {\"cell\": \"1\", \"bbox\": [359, 101, 365, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 101, 442, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Total\", \"bbox\": [336, 113, 355, 122]}, {\"cell\": \"111\", \"bbox\": [359, 113, 374, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 113, 447, 122]}, {\"cell\": \"Improved safety\", \"bbox\": [1, 125, 59, 134]}, {\"cell\": \"Fewer side effects\", \"bbox\": [150, 125, 210, 134]}, {\"cell\": \"5\", \"bbox\": [359, 125, 365, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 125, 442, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Increased tolerability\", \"bbox\": [150, 137, 218, 146]}, {\"cell\": \"2\", \"bbox\": [359, 137, 365, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 137, 442, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Improved safety (unspecified)\", \"bbox\": [150, 149, 246, 158]}, {\"cell\": \"2\", \"bbox\": [359, 149, 365, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 149, 442, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Total\", \"bbox\": [336, 161, 355, 170]}, {\"cell\": \"9\", \"bbox\": [359, 161, 366, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 161, 443, 170]}, {\"cell\": \"Contribution to patient care\", \"bbox\": [1, 173, 101, 182]}, {\"cell\": \"Mode of administration\", \"bbox\": [150, 173, 227, 182]}, {\"cell\": \"9\", \"bbox\": [359, 173, 365, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 173, 442, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Wider availability\", \"bbox\": [150, 185, 206, 194]}, {\"cell\": \"1\", \"bbox\": [359, 185, 365, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 185, 442, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Total\", \"bbox\": [336, 197, 355, 206]}, {\"cell\": \"10\", \"bbox\": [359, 197, 370, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 197, 443, 206]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3185263_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
TraitUnitBiological importancenAVGSDmaxmin
Body weightkg[EMPTY_CELL]162519.03177
Carcass weightkg[EMPTY_CELL]165284.41640
Dressing percentage%[EMPTY_CELL]1615537146
Total fatkg[EMPTY_CELL]165145.64.633
Carcass fatkg[EMPTY_CELL]1658.72.43.518
Internal fatkg[EMPTY_CELL]1653.81.61.18.8
Percent fat in carcass%[EMPTY_CELL]1653142245
Subcutaneous fat depth*Pixel[EMPTY_CELL]1615.92.3113
Subcutaneous fat areamm2[EMPTY_CELL]165980480362597
Total leankg[EMPTY_CELL]152225.611232
Carcass leankg[EMPTY_CELL]165162.341022
Percent lean in carcass%[EMPTY_CELL]1655934867
Eye muscle area*mm2[EMPTY_CELL]165420550212455333
Total bonekg[EMPTY_CELL]1527.44.42.512
Carcass bonekg[EMPTY_CELL]1652.90.341.984.2
Percent bone in carcass%[EMPTY_CELL]165112716
\", \"cells\": [{\"cell\": \"Trait\", \"bbox\": [1, 4, 18, 13]}, {\"cell\": \"Unit\", \"bbox\": [104, 4, 121, 13]}, {\"cell\": \"Biological importance\", \"bbox\": [144, 4, 221, 13]}, {\"cell\": \"n\", \"bbox\": [301, 6, 307, 12]}, {\"cell\": \"AVG\", \"bbox\": [336, 4, 353, 13]}, {\"cell\": \"SD\", \"bbox\": [375, 4, 386, 13]}, {\"cell\": \"max\", \"bbox\": [411, 4, 428, 13]}, {\"cell\": \"min\", \"bbox\": [450, 4, 465, 13]}, {\"cell\": \"Body weight\", \"bbox\": [1, 17, 43, 27]}, {\"cell\": \"kg\", \"bbox\": [104, 17, 114, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"162\", \"bbox\": [301, 17, 315, 27]}, {\"cell\": \"51\", \"bbox\": [336, 17, 346, 27]}, {\"cell\": \"9.0\", \"bbox\": [375, 17, 386, 27]}, {\"cell\": \"31\", \"bbox\": [411, 17, 421, 27]}, {\"cell\": \"77\", \"bbox\": [450, 17, 459, 27]}, {\"cell\": \"Carcass weight\", \"bbox\": [1, 30, 51, 40]}, {\"cell\": \"kg\", \"bbox\": [104, 30, 114, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"165\", \"bbox\": [301, 30, 315, 40]}, {\"cell\": \"28\", \"bbox\": [336, 30, 346, 40]}, {\"cell\": \"4.4\", \"bbox\": [375, 30, 386, 40]}, {\"cell\": \"16\", \"bbox\": [411, 30, 421, 40]}, {\"cell\": \"40\", \"bbox\": [450, 30, 459, 40]}, {\"cell\": \"Dressing percentage\", \"bbox\": [1, 44, 68, 53]}, {\"cell\": \"%\", \"bbox\": [104, 44, 112, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [144, 44, 279, 53]}, {\"cell\": \"161\", \"bbox\": [301, 44, 315, 53]}, {\"cell\": \"55\", \"bbox\": [336, 44, 346, 53]}, {\"cell\": \"3\", \"bbox\": [375, 44, 381, 53]}, {\"cell\": \"71\", \"bbox\": [411, 44, 421, 53]}, {\"cell\": \"46\", \"bbox\": [450, 44, 459, 53]}, {\"cell\": \"Total fat\", \"bbox\": [1, 57, 29, 66]}, {\"cell\": \"kg\", \"bbox\": [104, 57, 114, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [144, 57, 224, 66]}, {\"cell\": \"165\", \"bbox\": [301, 57, 315, 66]}, {\"cell\": \"14\", \"bbox\": [336, 57, 346, 66]}, {\"cell\": \"5.6\", \"bbox\": [375, 57, 386, 66]}, {\"cell\": \"4.6\", \"bbox\": [411, 57, 422, 66]}, {\"cell\": \"33\", \"bbox\": [450, 57, 459, 66]}, {\"cell\": \"Carcass fat\", \"bbox\": [1, 69, 36, 78]}, {\"cell\": \"kg\", \"bbox\": [104, 69, 114, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [144, 69, 232, 78]}, {\"cell\": \"165\", \"bbox\": [301, 69, 315, 78]}, {\"cell\": \"8.7\", \"bbox\": [336, 69, 347, 78]}, {\"cell\": \"2.4\", \"bbox\": [375, 69, 386, 78]}, {\"cell\": \"3.5\", \"bbox\": [411, 69, 422, 78]}, {\"cell\": \"18\", \"bbox\": [450, 69, 459, 78]}, {\"cell\": \"Internal fat\", \"bbox\": [1, 81, 37, 90]}, {\"cell\": \"kg\", \"bbox\": [104, 81, 114, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [144, 81, 280, 90]}, {\"cell\": \"165\", \"bbox\": [301, 81, 315, 90]}, {\"cell\": \"3.8\", \"bbox\": [336, 81, 347, 90]}, {\"cell\": \"1.6\", \"bbox\": [375, 81, 386, 90]}, {\"cell\": \"1.1\", \"bbox\": [411, 81, 422, 90]}, {\"cell\": \"8.8\", \"bbox\": [450, 81, 461, 90]}, {\"cell\": \"Percent fat in carcass\", \"bbox\": [1, 93, 71, 102]}, {\"cell\": \"%\", \"bbox\": [104, 93, 112, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [144, 93, 246, 102]}, {\"cell\": \"165\", \"bbox\": [301, 93, 315, 102]}, {\"cell\": \"31\", \"bbox\": [336, 93, 346, 102]}, {\"cell\": \"4\", \"bbox\": [375, 93, 381, 102]}, {\"cell\": \"22\", \"bbox\": [411, 93, 421, 102]}, {\"cell\": \"45\", \"bbox\": [450, 93, 459, 102]}, {\"cell\": \"Subcutaneous fat depth*\", \"bbox\": [1, 105, 83, 114]}, {\"cell\": \"Pixel\", \"bbox\": [104, 105, 121, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [144, 105, 207, 114]}, {\"cell\": \"161\", \"bbox\": [301, 105, 315, 114]}, {\"cell\": \"5.9\", \"bbox\": [336, 105, 347, 114]}, {\"cell\": \"2.3\", \"bbox\": [375, 105, 386, 114]}, {\"cell\": \"1\", \"bbox\": [411, 105, 417, 114]}, {\"cell\": \"13\", \"bbox\": [450, 105, 459, 114]}, {\"cell\": \"Subcutaneous fat area\", \"bbox\": [1, 117, 74, 126]}, {\"cell\": \"mm2\", \"bbox\": [104, 115, 122, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [144, 117, 207, 126]}, {\"cell\": \"165\", \"bbox\": [301, 117, 315, 126]}, {\"cell\": \"980\", \"bbox\": [336, 117, 349, 126]}, {\"cell\": \"480\", \"bbox\": [375, 117, 388, 126]}, {\"cell\": \"36\", \"bbox\": [411, 117, 421, 126]}, {\"cell\": \"2597\", \"bbox\": [450, 117, 467, 126]}, {\"cell\": \"Total lean\", \"bbox\": [1, 128, 34, 138]}, {\"cell\": \"kg\", \"bbox\": [104, 128, 114, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [144, 128, 215, 138]}, {\"cell\": \"152\", \"bbox\": [301, 128, 315, 138]}, {\"cell\": \"22\", \"bbox\": [336, 128, 346, 138]}, {\"cell\": \"5.61\", \"bbox\": [375, 128, 390, 138]}, {\"cell\": \"12\", \"bbox\": [411, 128, 421, 138]}, {\"cell\": \"32\", \"bbox\": [450, 128, 459, 138]}, {\"cell\": \"Carcass lean\", \"bbox\": [1, 140, 42, 150]}, {\"cell\": \"kg\", \"bbox\": [104, 140, 114, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [144, 140, 221, 150]}, {\"cell\": \"165\", \"bbox\": [301, 140, 315, 150]}, {\"cell\": \"16\", \"bbox\": [336, 140, 346, 150]}, {\"cell\": \"2.34\", \"bbox\": [375, 140, 390, 150]}, {\"cell\": \"10\", \"bbox\": [411, 140, 421, 150]}, {\"cell\": \"22\", \"bbox\": [450, 140, 459, 150]}, {\"cell\": \"Percent lean in carcass\", \"bbox\": [1, 152, 76, 162]}, {\"cell\": \"%\", \"bbox\": [104, 152, 112, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [144, 152, 238, 162]}, {\"cell\": \"165\", \"bbox\": [301, 152, 315, 162]}, {\"cell\": \"59\", \"bbox\": [336, 152, 346, 162]}, {\"cell\": \"3\", \"bbox\": [375, 152, 381, 162]}, {\"cell\": \"48\", \"bbox\": [411, 152, 421, 162]}, {\"cell\": \"67\", \"bbox\": [450, 152, 459, 162]}, {\"cell\": \"Eye muscle area*\", \"bbox\": [1, 164, 57, 174]}, {\"cell\": \"mm2\", \"bbox\": [104, 163, 122, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [144, 164, 221, 174]}, {\"cell\": \"165\", \"bbox\": [301, 164, 315, 174]}, {\"cell\": \"4205\", \"bbox\": [336, 164, 353, 174]}, {\"cell\": \"502\", \"bbox\": [375, 164, 388, 174]}, {\"cell\": \"1245\", \"bbox\": [411, 164, 428, 174]}, {\"cell\": \"5333\", \"bbox\": [450, 164, 467, 174]}, {\"cell\": \"Total bone\", \"bbox\": [1, 176, 37, 186]}, {\"cell\": \"kg\", \"bbox\": [104, 176, 114, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [144, 176, 219, 186]}, {\"cell\": \"152\", \"bbox\": [301, 176, 315, 186]}, {\"cell\": \"7.4\", \"bbox\": [336, 176, 347, 186]}, {\"cell\": \"4.4\", \"bbox\": [375, 176, 386, 186]}, {\"cell\": \"2.5\", \"bbox\": [411, 176, 422, 186]}, {\"cell\": \"12\", \"bbox\": [450, 176, 459, 186]}, {\"cell\": \"Carcass bone\", \"bbox\": [1, 188, 45, 198]}, {\"cell\": \"kg\", \"bbox\": [104, 188, 114, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [144, 188, 254, 198]}, {\"cell\": \"165\", \"bbox\": [301, 188, 315, 198]}, {\"cell\": \"2.9\", \"bbox\": [336, 188, 347, 198]}, {\"cell\": \"0.34\", \"bbox\": [375, 188, 390, 198]}, {\"cell\": \"1.98\", \"bbox\": [411, 188, 426, 198]}, {\"cell\": \"4.2\", \"bbox\": [450, 188, 461, 198]}, {\"cell\": \"Percent bone in carcass\", \"bbox\": [1, 200, 79, 210]}, {\"cell\": \"%\", \"bbox\": [104, 200, 112, 210]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [144, 200, 241, 210]}, {\"cell\": \"165\", \"bbox\": [301, 200, 315, 210]}, {\"cell\": \"11\", \"bbox\": [336, 200, 346, 210]}, {\"cell\": \"2\", \"bbox\": [375, 200, 381, 210]}, {\"cell\": \"7\", \"bbox\": [411, 200, 417, 210]}, {\"cell\": \"16\", \"bbox\": [450, 200, 459, 210]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2949606_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Canonical variate
[EMPTY_CELL]F1F2F3
[EMPTY_CELL]
[EMPTY_CELL]0.889−0.455−0.060
[EMPTY_CELL]−0.629−0.511−0.586
[EMPTY_CELL]−0.627−0.6520.425
[EMPTY_CELL]
[EMPTY_CELL]−0.008−0.153−0.817
[EMPTY_CELL]0.174−0.0420.327
[EMPTY_CELL]0.659−0.7020.027
[EMPTY_CELL]0.7360.257−0.394
[EMPTY_CELL]0.8530.2290.169
[EMPTY_CELL]0.1250.2490.082
[EMPTY_CELL]0.3960.5560.071
[EMPTY_CELL]0.693 (p < 0.0001)0.453 (p = 0.0001)0.153 (p = 0.611)
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Canonical variate\", \"bbox\": [321, 4, 386, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"F1\", \"bbox\": [235, 15, 246, 25]}, {\"cell\": \"F2\", \"bbox\": [350, 15, 361, 25]}, {\"cell\": \"F3\", \"bbox\": [464, 15, 475, 25]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 29, 71, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 41, 158, 52]}, {\"cell\": \"0.889\", \"bbox\": [230, 41, 251, 52]}, {\"cell\": \"−0.455\", \"bbox\": [343, 41, 369, 52]}, {\"cell\": \"−0.060\", \"bbox\": [456, 41, 482, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 55, 64, 65]}, {\"cell\": \"−0.629\", \"bbox\": [227, 55, 253, 65]}, {\"cell\": \"−0.511\", \"bbox\": [343, 55, 369, 65]}, {\"cell\": \"−0.586\", \"bbox\": [456, 55, 482, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 68, 115, 78]}, {\"cell\": \"−0.627\", \"bbox\": [227, 68, 253, 78]}, {\"cell\": \"−0.652\", \"bbox\": [343, 68, 369, 78]}, {\"cell\": \"0.425\", \"bbox\": [459, 68, 480, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 80, 67, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 94, 26, 104]}, {\"cell\": \"−0.008\", \"bbox\": [227, 94, 253, 104]}, {\"cell\": \"−0.153\", \"bbox\": [343, 94, 369, 104]}, {\"cell\": \"−0.817\", \"bbox\": [456, 94, 482, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 106, 28, 117]}, {\"cell\": \"0.174\", \"bbox\": [230, 106, 251, 117]}, {\"cell\": \"−0.042\", \"bbox\": [343, 106, 369, 117]}, {\"cell\": \"0.327\", \"bbox\": [459, 106, 480, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 119, 106, 130]}, {\"cell\": \"0.659\", \"bbox\": [230, 119, 251, 130]}, {\"cell\": \"−0.702\", \"bbox\": [343, 119, 369, 130]}, {\"cell\": \"0.027\", \"bbox\": [459, 119, 480, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 133, 121, 143]}, {\"cell\": \"0.736\", \"bbox\": [230, 133, 251, 143]}, {\"cell\": \"0.257\", \"bbox\": [345, 133, 366, 143]}, {\"cell\": \"−0.394\", \"bbox\": [456, 133, 482, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 145, 145, 156]}, {\"cell\": \"0.853\", \"bbox\": [230, 145, 251, 156]}, {\"cell\": \"0.229\", \"bbox\": [345, 145, 366, 156]}, {\"cell\": \"0.169\", \"bbox\": [459, 145, 480, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 158, 95, 169]}, {\"cell\": \"0.125\", \"bbox\": [230, 158, 251, 169]}, {\"cell\": \"0.249\", \"bbox\": [345, 158, 366, 169]}, {\"cell\": \"0.082\", \"bbox\": [459, 158, 480, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 171, 35, 182]}, {\"cell\": \"0.396\", \"bbox\": [230, 171, 251, 182]}, {\"cell\": \"0.556\", \"bbox\": [345, 171, 366, 182]}, {\"cell\": \"0.071\", \"bbox\": [459, 171, 480, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 184, 121, 195]}, {\"cell\": \"0.693 (p < 0.0001)\", \"bbox\": [207, 184, 274, 195]}, {\"cell\": \"0.453 (p = 0.0001)\", \"bbox\": [322, 185, 389, 195]}, {\"cell\": \"0.153 (p = 0.611)\", \"bbox\": [438, 185, 501, 195]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5745718_002_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Age group and country‡Weight#(kg)W/A Z-score
[EMPTY_CELL]BoysGirlsBoysGirls
[EMPTY_CELL]Mean (SD)
6-year-olds†[EMPTY_CELL]††
BEL23.0 (3.7)§a[EMPTY_CELL]0.35 (1.06)a0.33 (1.00)a
SVN24.9 (4.6)§b[EMPTY_CELL]0.70 (1.20)§b0.62 (1.10)b
ESP24.9 (4.6)§b[EMPTY_CELL]0.81 (1.19)b0.72 (1.09)c
7-year-olds†[EMPTY_CELL]††
BEL25.8 (5.0)§a[EMPTY_CELL]0.40 (1.20)a0.40 (1.13)a
CZE26.0 (4.8)§ab[EMPTY_CELL]0.63 (1.17)§bc0.51 (1.12)abc
GRC29.5 (5.8)§c[EMPTY_CELL]1.17 (1.27)§d1.05 (1.15)d
HUN26.7 (5.5)bde[EMPTY_CELL]0.57 (1.28)ab0.54 (1.22)abc
IRL26.0 (4.2)§ad[EMPTY_CELL]0.53 (1.04)ab0.51 (1.02)abc
LVA27.4 (5.3)§fg[EMPTY_CELL]0.63 (1.18)§b0.45 (1.08)ac
LTU27.6 (5.3)§f[EMPTY_CELL]0.68 (1.17)§bc0.55 (1.09)bc
PRT27.0 (5.5)deg[EMPTY_CELL]0.61 (1.25)b0.66 (1.15)be
SVN27.8 (5.7)§f[EMPTY_CELL]0.78 (1.25)§c0.64 (1.14)b
ESP28.5 (5.7)§h[EMPTY_CELL]0.96 (1.24)§e0.81 (1.13)e
MKD27.6 (6.4)§ef[EMPTY_CELL]0.70 (1.46)§bc0.50 (1.32)ac
8-year-olds†[EMPTY_CELL]††
BEL29.3 (5.5)§a[EMPTY_CELL]0.45 (1.10)§a0.40 (1.06)a
ITA32.3 (7.3)§b[EMPTY_CELL]0.90 (1.31)§b0.70 (1.22)b
NOR30.2 (5.7)§c[EMPTY_CELL]0.69 (1.11)§c0.56 (1.00)c
SVN31.8 (7.0)§d[EMPTY_CELL]0.90 (1.26)§b0.72 (1.16)b
ESP31.7 (6.4)bd[EMPTY_CELL]0.91 (1.18)§b0.79 (1.12)b
9-year-olds†[EMPTY_CELL]††
BEL32.8 (7.3)a[EMPTY_CELL]0.46 (1.18)§a0.36 (1.18)a
GRC38.4 (8.9)§b[EMPTY_CELL]1.30 (1.21)§b1.02 (1.23)b
IRL33.0 (6.3)§ac[EMPTY_CELL]0.63 (1.05)§c0.37 (1.13)ac
ITA33.9 (7.8)§c[EMPTY_CELL]0.79 (1.28)§d0.53 (1.21)c
LTU34.7 (7.5)§d[EMPTY_CELL]0.66 (1.12)§c0.40 (1.09)a
SVN34.2 (7.9)cd[EMPTY_CELL]0.85 (1.24)§de0.68 (1.23)d
ESP35.9 (7.7)§e[EMPTY_CELL]0.97 (1.13)§e0.73 (1.12)d
\", \"cells\": [{\"cell\": \"Age group and country‡\", \"bbox\": [1, 2, 87, 13]}, {\"cell\": \"Weight#(kg)\", \"bbox\": [146, 2, 191, 13]}, {\"cell\": \"W/A Z-score\", \"bbox\": [340, 4, 384, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Boys\", \"bbox\": [146, 17, 164, 27]}, {\"cell\": \"Girls\", \"bbox\": [244, 17, 262, 27]}, {\"cell\": \"Boys\", \"bbox\": [340, 17, 358, 27]}, {\"cell\": \"Girls\", \"bbox\": [442, 17, 459, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Mean (SD)\", \"bbox\": [146, 30, 184, 40]}, {\"cell\": \"6-year-olds\", \"bbox\": [1, 43, 37, 53]}, {\"cell\": \"†\", \"bbox\": [146, 44, 152, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 44, 250, 51]}, {\"cell\": \"†\", \"bbox\": [340, 44, 346, 51]}, {\"cell\": \"†\", \"bbox\": [442, 44, 448, 51]}, {\"cell\": \" BEL\", \"bbox\": [8, 57, 22, 67]}, {\"cell\": \"23.0 (3.7)§a\", \"bbox\": [146, 56, 182, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 56, 277, 67]}, {\"cell\": \"0.35 (1.06)a\", \"bbox\": [340, 56, 377, 67]}, {\"cell\": \"0.33 (1.00)a\", \"bbox\": [442, 56, 479, 67]}, {\"cell\": \" SVN\", \"bbox\": [8, 71, 23, 81]}, {\"cell\": \"24.9 (4.6)§b\", \"bbox\": [146, 70, 182, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 70, 278, 81]}, {\"cell\": \"0.70 (1.20)§b\", \"bbox\": [340, 70, 380, 81]}, {\"cell\": \"0.62 (1.10)b\", \"bbox\": [442, 70, 479, 81]}, {\"cell\": \" ESP\", \"bbox\": [8, 85, 22, 95]}, {\"cell\": \"24.9 (4.6)§b\", \"bbox\": [146, 84, 182, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 84, 278, 95]}, {\"cell\": \"0.81 (1.19)b\", \"bbox\": [340, 84, 377, 95]}, {\"cell\": \"0.72 (1.09)c\", \"bbox\": [442, 84, 478, 95]}, {\"cell\": \"7-year-olds\", \"bbox\": [1, 99, 37, 109]}, {\"cell\": \"†\", \"bbox\": [146, 100, 152, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 100, 250, 107]}, {\"cell\": \"†\", \"bbox\": [340, 100, 346, 107]}, {\"cell\": \"†\", \"bbox\": [442, 100, 448, 107]}, {\"cell\": \" BEL\", \"bbox\": [8, 113, 22, 123]}, {\"cell\": \"25.8 (5.0)§a\", \"bbox\": [146, 112, 182, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 112, 277, 123]}, {\"cell\": \"0.40 (1.20)a\", \"bbox\": [340, 112, 377, 123]}, {\"cell\": \"0.40 (1.13)a\", \"bbox\": [442, 112, 479, 123]}, {\"cell\": \" CZE\", \"bbox\": [8, 127, 23, 137]}, {\"cell\": \"26.0 (4.8)§ab\", \"bbox\": [146, 126, 185, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 126, 277, 137]}, {\"cell\": \"0.63 (1.17)§bc\", \"bbox\": [340, 126, 383, 137]}, {\"cell\": \"0.51 (1.12)abc\", \"bbox\": [442, 126, 484, 137]}, {\"cell\": \" GRC\", \"bbox\": [8, 141, 24, 151]}, {\"cell\": \"29.5 (5.8)§c\", \"bbox\": [146, 140, 182, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 140, 278, 151]}, {\"cell\": \"1.17 (1.27)§d\", \"bbox\": [340, 140, 380, 151]}, {\"cell\": \"1.05 (1.15)d\", \"bbox\": [442, 140, 479, 151]}, {\"cell\": \" HUN\", \"bbox\": [8, 155, 26, 165]}, {\"cell\": \"26.7 (5.5)bde\", \"bbox\": [146, 154, 186, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 154, 280, 165]}, {\"cell\": \"0.57 (1.28)ab\", \"bbox\": [340, 154, 380, 165]}, {\"cell\": \"0.54 (1.22)abc\", \"bbox\": [442, 154, 484, 165]}, {\"cell\": \" IRL\", \"bbox\": [8, 169, 20, 179]}, {\"cell\": \"26.0 (4.2)§ad\", \"bbox\": [146, 168, 185, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 168, 280, 179]}, {\"cell\": \"0.53 (1.04)ab\", \"bbox\": [340, 168, 380, 179]}, {\"cell\": \"0.51 (1.02)abc\", \"bbox\": [442, 168, 484, 179]}, {\"cell\": \" LVA\", \"bbox\": [8, 183, 23, 193]}, {\"cell\": \"27.4 (5.3)§fg\", \"bbox\": [146, 182, 184, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 182, 281, 193]}, {\"cell\": \"0.63 (1.18)§b\", \"bbox\": [340, 182, 380, 193]}, {\"cell\": \"0.45 (1.08)ac\", \"bbox\": [442, 182, 481, 193]}, {\"cell\": \" LTU\", \"bbox\": [8, 197, 23, 207]}, {\"cell\": \"27.6 (5.3)§f\", \"bbox\": [146, 196, 181, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 196, 278, 207]}, {\"cell\": \"0.68 (1.17)§bc\", \"bbox\": [340, 196, 383, 207]}, {\"cell\": \"0.55 (1.09)bc\", \"bbox\": [442, 196, 482, 207]}, {\"cell\": \" PRT\", \"bbox\": [8, 211, 22, 221]}, {\"cell\": \"27.0 (5.5)deg\", \"bbox\": [146, 210, 186, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 210, 281, 221]}, {\"cell\": \"0.61 (1.25)b\", \"bbox\": [340, 210, 377, 221]}, {\"cell\": \"0.66 (1.15)be\", \"bbox\": [442, 210, 482, 221]}, {\"cell\": \" SVN\", \"bbox\": [8, 225, 23, 235]}, {\"cell\": \"27.8 (5.7)§f\", \"bbox\": [146, 224, 181, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 224, 278, 235]}, {\"cell\": \"0.78 (1.25)§c\", \"bbox\": [340, 224, 379, 235]}, {\"cell\": \"0.64 (1.14)b\", \"bbox\": [442, 224, 479, 235]}, {\"cell\": \" ESP\", \"bbox\": [8, 239, 22, 249]}, {\"cell\": \"28.5 (5.7)§h\", \"bbox\": [146, 238, 182, 249]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 238, 278, 249]}, {\"cell\": \"0.96 (1.24)§e\", \"bbox\": [340, 238, 380, 249]}, {\"cell\": \"0.81 (1.13)e\", \"bbox\": [442, 238, 479, 249]}, {\"cell\": \" MKD\", \"bbox\": [8, 253, 26, 263]}, {\"cell\": \"27.6 (6.4)§ef\", \"bbox\": [146, 252, 184, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 252, 277, 263]}, {\"cell\": \"0.70 (1.46)§bc\", \"bbox\": [340, 252, 383, 263]}, {\"cell\": \"0.50 (1.32)ac\", \"bbox\": [442, 252, 481, 263]}, {\"cell\": \"8-year-olds\", \"bbox\": [1, 267, 37, 277]}, {\"cell\": \"†\", \"bbox\": [146, 268, 152, 275]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 268, 250, 275]}, {\"cell\": \"†\", \"bbox\": [340, 268, 346, 275]}, {\"cell\": \"†\", \"bbox\": [442, 268, 448, 275]}, {\"cell\": \" BEL\", \"bbox\": [8, 281, 22, 291]}, {\"cell\": \"29.3 (5.5)§a\", \"bbox\": [146, 280, 182, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 280, 277, 291]}, {\"cell\": \"0.45 (1.10)§a\", \"bbox\": [340, 280, 379, 291]}, {\"cell\": \"0.40 (1.06)a\", \"bbox\": [442, 280, 479, 291]}, {\"cell\": \" ITA\", \"bbox\": [8, 295, 20, 305]}, {\"cell\": \"32.3 (7.3)§b\", \"bbox\": [146, 294, 182, 305]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 294, 278, 305]}, {\"cell\": \"0.90 (1.31)§b\", \"bbox\": [340, 294, 380, 305]}, {\"cell\": \"0.70 (1.22)b\", \"bbox\": [442, 294, 479, 305]}, {\"cell\": \" NOR\", \"bbox\": [8, 309, 25, 319]}, {\"cell\": \"30.2 (5.7)§c\", \"bbox\": [146, 308, 182, 319]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 308, 277, 319]}, {\"cell\": \"0.69 (1.11)§c\", \"bbox\": [340, 308, 379, 319]}, {\"cell\": \"0.56 (1.00)c\", \"bbox\": [442, 308, 478, 319]}, {\"cell\": \" SVN\", \"bbox\": [8, 323, 23, 333]}, {\"cell\": \"31.8 (7.0)§d\", \"bbox\": [146, 322, 182, 333]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 322, 278, 333]}, {\"cell\": \"0.90 (1.26)§b\", \"bbox\": [340, 322, 380, 333]}, {\"cell\": \"0.72 (1.16)b\", \"bbox\": [442, 322, 479, 333]}, {\"cell\": \" ESP\", \"bbox\": [8, 337, 22, 347]}, {\"cell\": \"31.7 (6.4)bd\", \"bbox\": [146, 336, 183, 347]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 336, 278, 347]}, {\"cell\": \"0.91 (1.18)§b\", \"bbox\": [340, 336, 380, 347]}, {\"cell\": \"0.79 (1.12)b\", \"bbox\": [442, 336, 479, 347]}, {\"cell\": \"9-year-olds\", \"bbox\": [1, 351, 37, 361]}, {\"cell\": \"†\", \"bbox\": [146, 352, 152, 359]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 352, 250, 359]}, {\"cell\": \"†\", \"bbox\": [340, 352, 346, 359]}, {\"cell\": \"†\", \"bbox\": [442, 352, 448, 359]}, {\"cell\": \" BEL\", \"bbox\": [8, 365, 22, 375]}, {\"cell\": \"32.8 (7.3)a\", \"bbox\": [146, 364, 179, 375]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 364, 277, 375]}, {\"cell\": \"0.46 (1.18)§a\", \"bbox\": [340, 364, 379, 375]}, {\"cell\": \"0.36 (1.18)a\", \"bbox\": [442, 364, 479, 375]}, {\"cell\": \" GRC\", \"bbox\": [8, 379, 24, 389]}, {\"cell\": \"38.4 (8.9)§b\", \"bbox\": [146, 378, 182, 389]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 378, 278, 389]}, {\"cell\": \"1.30 (1.21)§b\", \"bbox\": [340, 378, 380, 389]}, {\"cell\": \"1.02 (1.23)b\", \"bbox\": [442, 378, 479, 389]}, {\"cell\": \" IRL\", \"bbox\": [8, 393, 20, 403]}, {\"cell\": \"33.0 (6.3)§ac\", \"bbox\": [146, 392, 185, 403]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 392, 277, 403]}, {\"cell\": \"0.63 (1.05)§c\", \"bbox\": [340, 392, 379, 403]}, {\"cell\": \"0.37 (1.13)ac\", \"bbox\": [442, 392, 481, 403]}, {\"cell\": \" ITA\", \"bbox\": [8, 407, 20, 417]}, {\"cell\": \"33.9 (7.8)§c\", \"bbox\": [146, 406, 182, 417]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 406, 277, 417]}, {\"cell\": \"0.79 (1.28)§d\", \"bbox\": [340, 406, 380, 417]}, {\"cell\": \"0.53 (1.21)c\", \"bbox\": [442, 406, 478, 417]}, {\"cell\": \" LTU\", \"bbox\": [8, 421, 23, 431]}, {\"cell\": \"34.7 (7.5)§d\", \"bbox\": [146, 420, 182, 431]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 420, 277, 431]}, {\"cell\": \"0.66 (1.12)§c\", \"bbox\": [340, 420, 379, 431]}, {\"cell\": \"0.40 (1.09)a\", \"bbox\": [442, 420, 479, 431]}, {\"cell\": \" SVN\", \"bbox\": [8, 435, 23, 445]}, {\"cell\": \"34.2 (7.9)cd\", \"bbox\": [146, 434, 182, 445]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 434, 277, 445]}, {\"cell\": \"0.85 (1.24)§de\", \"bbox\": [340, 434, 383, 445]}, {\"cell\": \"0.68 (1.23)d\", \"bbox\": [442, 434, 479, 445]}, {\"cell\": \" ESP\", \"bbox\": [8, 449, 22, 459]}, {\"cell\": \"35.9 (7.7)§e\", \"bbox\": [146, 448, 182, 459]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 448, 278, 459]}, {\"cell\": \"0.97 (1.13)§e\", \"bbox\": [340, 448, 380, 459]}, {\"cell\": \"0.73 (1.12)d\", \"bbox\": [442, 448, 479, 459]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4289284_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariablesOverall mean score for PI*Overall mean score for AP*Overall mean score for EE*Overall mean score for LCS*p-value†
Gender
[EMPTY_CELL]Male[EMPTY_CELL]4.343.674.11PI = 0.001;AP = 0.001;EE = 0.001;LCS = 0.001
[EMPTY_CELL]Female[EMPTY_CELL]4.953.954.60
Age groups
[EMPTY_CELL]17 - 20[EMPTY_CELL]4.803.493.98PI = 0.001;AP = 0.001;EE = 0.001;LCS = 0.001
[EMPTY_CELL]21-24[EMPTY_CELL]4.804.184.85
[EMPTY_CELL]25-27[EMPTY_CELL]5.063.964.90
Ethnic groups
[EMPTY_CELL]Malay[EMPTY_CELL]4.964.004.58PI = 0.001;AP = 0.001;EE = 0.001;LCS = 0.001
[EMPTY_CELL]Chinese[EMPTY_CELL]4.433.654.27
[EMPTY_CELL]Indian[EMPTY_CELL]4.613.123.97
[EMPTY_CELL]Others[EMPTY_CELL]4.773.384.22
Year of study
[EMPTY_CELL]Year 1[EMPTY_CELL]4.793.173.49PI = 0.001;AP = 0.001;EE = 0.001;LCS = 0.001;
[EMPTY_CELL]Year 2[EMPTY_CELL]4.773.784.49
[EMPTY_CELL]Year 3[EMPTY_CELL]4.513.844.63
[EMPTY_CELL]Year 4[EMPTY_CELL]4.894.224.96
[EMPTY_CELL]Year 5[EMPTY_CELL]5.184.845.25
Type of university
[EMPTY_CELL]Public[EMPTY_CELL]4.893.974.61PI = 0.001;AP = 0.001;EE = 0.001;LCS = 0.001
[EMPTY_CELL]Private[EMPTY_CELL]4.373.423.82
\", \"cells\": [{\"cell\": \"Variables\", \"bbox\": [1, 15, 32, 23]}, {\"cell\": \"Overall mean score for PI*\", \"bbox\": [51, 3, 80, 35]}, {\"cell\": \"Overall mean score for AP*\", \"bbox\": [83, 3, 112, 35]}, {\"cell\": \"Overall mean score for EE*\", \"bbox\": [115, 3, 144, 35]}, {\"cell\": \"Overall mean score for LCS*\", \"bbox\": [146, 3, 175, 35]}, {\"cell\": \"p-value†\", \"bbox\": [189, 13, 216, 23]}, {\"cell\": \"Gender\", \"bbox\": [1, 38, 26, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Male\", \"bbox\": [22, 51, 39, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [58, 51, 73, 60]}, {\"cell\": \"4.34\", \"bbox\": [89, 51, 105, 60]}, {\"cell\": \"3.67\", \"bbox\": [121, 51, 137, 60]}, {\"cell\": \"4.11\", \"bbox\": [153, 51, 169, 60]}, {\"cell\": \"PI = 0.001;AP = 0.001;EE = 0.001;LCS = 0.001\", \"bbox\": [182, 49, 223, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Female\", \"bbox\": [22, 67, 47, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [58, 67, 73, 76]}, {\"cell\": \"4.95\", \"bbox\": [89, 67, 105, 76]}, {\"cell\": \"3.95\", \"bbox\": [121, 67, 137, 76]}, {\"cell\": \"4.60\", \"bbox\": [153, 67, 169, 76]}, {\"cell\": \"Age groups\", \"bbox\": [1, 85, 38, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"17 - 20\", \"bbox\": [22, 98, 46, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [58, 98, 73, 106]}, {\"cell\": \"4.80\", \"bbox\": [89, 98, 105, 106]}, {\"cell\": \"3.49\", \"bbox\": [121, 98, 137, 106]}, {\"cell\": \"3.98\", \"bbox\": [153, 98, 169, 106]}, {\"cell\": \"PI = 0.001;AP = 0.001;EE = 0.001;LCS = 0.001\", \"bbox\": [182, 97, 223, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"21-24\", \"bbox\": [22, 106, 42, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [58, 106, 73, 115]}, {\"cell\": \"4.80\", \"bbox\": [89, 106, 105, 115]}, {\"cell\": \"4.18\", \"bbox\": [121, 106, 137, 115]}, {\"cell\": \"4.85\", \"bbox\": [153, 106, 169, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"25-27\", \"bbox\": [22, 118, 42, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [58, 118, 73, 126]}, {\"cell\": \"5.06\", \"bbox\": [89, 118, 105, 126]}, {\"cell\": \"3.96\", \"bbox\": [121, 118, 137, 126]}, {\"cell\": \"4.90\", \"bbox\": [153, 118, 169, 126]}, {\"cell\": \"Ethnic groups\", \"bbox\": [1, 133, 45, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Malay\", \"bbox\": [22, 146, 43, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [58, 146, 73, 155]}, {\"cell\": \"4.96\", \"bbox\": [89, 146, 105, 155]}, {\"cell\": \"4.00\", \"bbox\": [121, 146, 137, 155]}, {\"cell\": \"4.58\", \"bbox\": [153, 146, 169, 155]}, {\"cell\": \"PI = 0.001;AP = 0.001;EE = 0.001;LCS = 0.001\", \"bbox\": [182, 147, 223, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Chinese\", \"bbox\": [22, 155, 50, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [58, 155, 73, 163]}, {\"cell\": \"4.43\", \"bbox\": [89, 155, 105, 163]}, {\"cell\": \"3.65\", \"bbox\": [121, 155, 137, 163]}, {\"cell\": \"4.27\", \"bbox\": [153, 155, 169, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Indian\", \"bbox\": [22, 164, 43, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [58, 164, 73, 172]}, {\"cell\": \"4.61\", \"bbox\": [89, 164, 105, 172]}, {\"cell\": \"3.12\", \"bbox\": [121, 164, 137, 172]}, {\"cell\": \"3.97\", \"bbox\": [153, 164, 169, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Others\", \"bbox\": [22, 172, 45, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [58, 172, 73, 181]}, {\"cell\": \"4.77\", \"bbox\": [89, 172, 105, 181]}, {\"cell\": \"3.38\", \"bbox\": [121, 172, 137, 181]}, {\"cell\": \"4.22\", \"bbox\": [153, 172, 169, 181]}, {\"cell\": \"Year of study\", \"bbox\": [1, 182, 43, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Year 1\", \"bbox\": [22, 192, 45, 201]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [58, 192, 73, 201]}, {\"cell\": \"4.79\", \"bbox\": [89, 192, 105, 201]}, {\"cell\": \"3.17\", \"bbox\": [121, 192, 137, 201]}, {\"cell\": \"3.49\", \"bbox\": [153, 192, 169, 201]}, {\"cell\": \"PI = 0.001;AP = 0.001;EE = 0.001;LCS = 0.001;\", \"bbox\": [182, 198, 223, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Year 2\", \"bbox\": [22, 201, 45, 210]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [58, 201, 73, 210]}, {\"cell\": \"4.77\", \"bbox\": [89, 201, 105, 210]}, {\"cell\": \"3.78\", \"bbox\": [121, 201, 137, 210]}, {\"cell\": \"4.49\", \"bbox\": [153, 201, 169, 210]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Year 3\", \"bbox\": [22, 210, 45, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [58, 210, 73, 219]}, {\"cell\": \"4.51\", \"bbox\": [89, 210, 105, 219]}, {\"cell\": \"3.84\", \"bbox\": [121, 210, 137, 219]}, {\"cell\": \"4.63\", \"bbox\": [153, 210, 169, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Year 4\", \"bbox\": [22, 219, 45, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [58, 219, 73, 227]}, {\"cell\": \"4.89\", \"bbox\": [89, 219, 105, 227]}, {\"cell\": \"4.22\", \"bbox\": [121, 219, 137, 227]}, {\"cell\": \"4.96\", \"bbox\": [153, 219, 169, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Year 5\", \"bbox\": [22, 227, 45, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [58, 227, 73, 236]}, {\"cell\": \"5.18\", \"bbox\": [89, 227, 105, 236]}, {\"cell\": \"4.84\", \"bbox\": [121, 227, 137, 236]}, {\"cell\": \"5.25\", \"bbox\": [153, 227, 169, 236]}, {\"cell\": \"Type of university\", \"bbox\": [1, 238, 57, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Public\", \"bbox\": [22, 250, 43, 259]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [58, 250, 73, 259]}, {\"cell\": \"4.89\", \"bbox\": [89, 250, 105, 259]}, {\"cell\": \"3.97\", \"bbox\": [121, 250, 137, 259]}, {\"cell\": \"4.61\", \"bbox\": [153, 250, 169, 259]}, {\"cell\": \"PI = 0.001;AP = 0.001;EE = 0.001;LCS = 0.001\", \"bbox\": [182, 247, 223, 280]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Private\", \"bbox\": [22, 266, 46, 275]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [58, 266, 73, 275]}, {\"cell\": \"4.37\", \"bbox\": [89, 266, 105, 275]}, {\"cell\": \"3.42\", \"bbox\": [121, 266, 137, 275]}, {\"cell\": \"3.82\", \"bbox\": [153, 266, 169, 275]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4417984_002_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Kii-ALS/PDC (n = 13)AD (n = 12)PSP (n = 10)FTLD (n = 10)DLB (n = 10)
MMSE total score (/30)19.2 ± 6.4[EMPTY_CELL]23.2 ± 2.5*22.0 ± 4.520.7 ± 1.3
Orientation (/10)5.8 ± 3.3[EMPTY_CELL]8.0 ± 1.88.0 ± 0.6*6.8 ± 1.6
Registration (/3)2.9 ± 0.3[EMPTY_CELL]3.0 ± 0.03.0 ± 0.03.0 ± 0.0
Attention and calculation (/5)1.8 ± 1.9[EMPTY_CELL]1.6 ± 0.91.7 ± 1.41.5 ± 1.1
Recall (/3)0.6 ± 0.9[EMPTY_CELL]2.1 ± 1.0*1.9 ± 0.9*1.2 ± 1.1*
Language and praxis (/9)7.9 ± 1.2[EMPTY_CELL]8.5 ± 1.17.9 ± 0.98.1 ± 1.1
RCPM[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Total score (/36)19.3 ± 6.8[EMPTY_CELL]21.2 ± 4.122.0 ± 4.419.3 ± 6.8
Time (min sec)14 37 ± 10 19[EMPTY_CELL]12 56 ± 9 389 22 ± 3 51*12 52 ± 6 39
Verbal fluency[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Semantic category7.6 ± 3.2[EMPTY_CELL]6.4 ± 2.97.8 ± 3.29.1 ± 3.2
Letter category3.6 ± 2.0[EMPTY_CELL]5.1 ± 2.64.5 ± 2.24.4 ± 1.7
PAWLT (/10)5.0 ± 3.2[EMPTY_CELL]7.1 ± 1.6*6.0 ± 2.86.5 ± 3.5
FAB (/18)8.0 ± 5.5[EMPTY_CELL]12.0 ± 2.210.0 ± 2.212.3 ± 2.6
[EMPTY_CELL](9 of 13 patients)[EMPTY_CELL](4 of 10)(4 of 10)(3 of 10)
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Kii-ALS/PDC (n = 13)\", \"bbox\": [129, 4, 173, 22]}, {\"cell\": \"AD (n = 12)\", \"bbox\": [218, 4, 246, 22]}, {\"cell\": \"PSP (n = 10)\", \"bbox\": [291, 4, 318, 22]}, {\"cell\": \"FTLD (n = 10)\", \"bbox\": [366, 4, 394, 22]}, {\"cell\": \"DLB (n = 10)\", \"bbox\": [441, 4, 469, 22]}, {\"cell\": \"MMSE total score (/30)\", \"bbox\": [1, 26, 75, 36]}, {\"cell\": \"19.2 ± 6.4\", \"bbox\": [129, 26, 161, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 26, 253, 36]}, {\"cell\": \"23.2 ± 2.5*\", \"bbox\": [291, 26, 326, 36]}, {\"cell\": \"22.0 ± 4.5\", \"bbox\": [366, 26, 398, 36]}, {\"cell\": \"20.7 ± 1.3\", \"bbox\": [441, 26, 473, 36]}, {\"cell\": \"Orientation (/10)\", \"bbox\": [1, 40, 55, 50]}, {\"cell\": \"5.8 ± 3.3\", \"bbox\": [129, 40, 157, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 40, 249, 50]}, {\"cell\": \"8.0 ± 1.8\", \"bbox\": [291, 40, 319, 50]}, {\"cell\": \"8.0 ± 0.6*\", \"bbox\": [366, 40, 397, 50]}, {\"cell\": \"6.8 ± 1.6\", \"bbox\": [441, 40, 469, 50]}, {\"cell\": \"Registration (/3)\", \"bbox\": [1, 54, 53, 64]}, {\"cell\": \"2.9 ± 0.3\", \"bbox\": [129, 54, 157, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 54, 246, 64]}, {\"cell\": \"3.0 ± 0.0\", \"bbox\": [291, 54, 319, 64]}, {\"cell\": \"3.0 ± 0.0\", \"bbox\": [366, 54, 394, 64]}, {\"cell\": \"3.0 ± 0.0\", \"bbox\": [441, 54, 469, 64]}, {\"cell\": \"Attention and calculation (/5)\", \"bbox\": [1, 68, 97, 78]}, {\"cell\": \"1.8 ± 1.9\", \"bbox\": [129, 68, 157, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 68, 246, 78]}, {\"cell\": \"1.6 ± 0.9\", \"bbox\": [291, 68, 319, 78]}, {\"cell\": \"1.7 ± 1.4\", \"bbox\": [366, 68, 394, 78]}, {\"cell\": \"1.5 ± 1.1\", \"bbox\": [441, 68, 469, 78]}, {\"cell\": \"Recall (/3)\", \"bbox\": [1, 82, 34, 92]}, {\"cell\": \"0.6 ± 0.9\", \"bbox\": [129, 82, 157, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 82, 246, 92]}, {\"cell\": \"2.1 ± 1.0*\", \"bbox\": [291, 82, 322, 92]}, {\"cell\": \"1.9 ± 0.9*\", \"bbox\": [366, 82, 397, 92]}, {\"cell\": \"1.2 ± 1.1*\", \"bbox\": [441, 82, 472, 92]}, {\"cell\": \"Language and praxis (/9)\", \"bbox\": [1, 96, 82, 106]}, {\"cell\": \"7.9 ± 1.2\", \"bbox\": [129, 96, 157, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 96, 246, 106]}, {\"cell\": \"8.5 ± 1.1\", \"bbox\": [291, 96, 319, 106]}, {\"cell\": \"7.9 ± 0.9\", \"bbox\": [366, 96, 394, 106]}, {\"cell\": \"8.1 ± 1.1\", \"bbox\": [441, 96, 469, 106]}, {\"cell\": \"RCPM\", \"bbox\": [1, 110, 21, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Total score (/36)\", \"bbox\": [8, 124, 62, 134]}, {\"cell\": \"19.3 ± 6.8\", \"bbox\": [129, 124, 161, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 124, 250, 134]}, {\"cell\": \"21.2 ± 4.1\", \"bbox\": [291, 124, 322, 134]}, {\"cell\": \"22.0 ± 4.4\", \"bbox\": [366, 124, 398, 134]}, {\"cell\": \"19.3 ± 6.8\", \"bbox\": [441, 124, 473, 134]}, {\"cell\": \" Time (min sec)\", \"bbox\": [8, 138, 58, 148]}, {\"cell\": \"14 37 ± 10 19\", \"bbox\": [129, 138, 176, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 138, 258, 148]}, {\"cell\": \"12 56 ± 9 38\", \"bbox\": [291, 138, 334, 148]}, {\"cell\": \"9 22 ± 3 51*\", \"bbox\": [366, 138, 409, 148]}, {\"cell\": \"12 52 ± 6 39\", \"bbox\": [441, 138, 484, 148]}, {\"cell\": \"Verbal fluency\", \"bbox\": [1, 152, 48, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Semantic category\", \"bbox\": [8, 166, 70, 176]}, {\"cell\": \"7.6 ± 3.2\", \"bbox\": [129, 166, 157, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 166, 246, 176]}, {\"cell\": \"6.4 ± 2.9\", \"bbox\": [291, 166, 319, 176]}, {\"cell\": \"7.8 ± 3.2\", \"bbox\": [366, 166, 394, 176]}, {\"cell\": \"9.1 ± 3.2\", \"bbox\": [441, 166, 469, 176]}, {\"cell\": \" Letter category\", \"bbox\": [8, 180, 59, 190]}, {\"cell\": \"3.6 ± 2.0\", \"bbox\": [129, 180, 157, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 180, 249, 190]}, {\"cell\": \"5.1 ± 2.6\", \"bbox\": [291, 180, 319, 190]}, {\"cell\": \"4.5 ± 2.2\", \"bbox\": [366, 180, 394, 190]}, {\"cell\": \"4.4 ± 1.7\", \"bbox\": [441, 180, 469, 190]}, {\"cell\": \"PAWLT (/10)\", \"bbox\": [1, 194, 42, 204]}, {\"cell\": \"5.0 ± 3.2\", \"bbox\": [129, 194, 157, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 194, 246, 204]}, {\"cell\": \"7.1 ± 1.6*\", \"bbox\": [291, 194, 322, 204]}, {\"cell\": \"6.0 ± 2.8\", \"bbox\": [366, 194, 394, 204]}, {\"cell\": \"6.5 ± 3.5\", \"bbox\": [441, 194, 469, 204]}, {\"cell\": \"FAB (/18)\", \"bbox\": [1, 208, 32, 218]}, {\"cell\": \"8.0 ± 5.5\", \"bbox\": [129, 208, 157, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 208, 253, 218]}, {\"cell\": \"12.0 ± 2.2\", \"bbox\": [291, 208, 322, 218]}, {\"cell\": \"10.0 ± 2.2\", \"bbox\": [366, 208, 398, 218]}, {\"cell\": \"12.3 ± 2.6\", \"bbox\": [441, 208, 473, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"(9 of 13 patients)\", \"bbox\": [129, 222, 186, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 222, 247, 232]}, {\"cell\": \"(4 of 10)\", \"bbox\": [291, 222, 320, 232]}, {\"cell\": \"(4 of 10)\", \"bbox\": [366, 222, 395, 232]}, {\"cell\": \"(3 of 10)\", \"bbox\": [441, 222, 470, 232]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4107997_004_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VARIABLEFUTSSUTSHSI
Mean (s.d)d.fP-valueMean (s.d)d.fP-valueMean (s.d)d.fP-value
Age[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Quintile 13.5 (1.1)[EMPTY_CELL]0.30353.6 (1.1)40.97682.9 (1.5)4<0.01
Quintile 23.4 (1.1)[EMPTY_CELL][EMPTY_CELL]3.5 (1.1)[EMPTY_CELL][EMPTY_CELL]2.7 (1.6 )[EMPTY_CELL][EMPTY_CELL]
Quintile 33.5 (1.2)[EMPTY_CELL][EMPTY_CELL]3.6 (1.2)[EMPTY_CELL][EMPTY_CELL]3.3 (1.5)[EMPTY_CELL][EMPTY_CELL]
Quintile 43.6 (1.2)[EMPTY_CELL][EMPTY_CELL]3.6 (1.1)[EMPTY_CELL][EMPTY_CELL]3.6 (1.6)[EMPTY_CELL][EMPTY_CELL]
Quintile 53.5 (1.2)[EMPTY_CELL][EMPTY_CELL]3.6 (1.1)[EMPTY_CELL][EMPTY_CELL]3.5 (1.5)[EMPTY_CELL][EMPTY_CELL]
Gender[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Male3.5 (1.2)[EMPTY_CELL]0.68993.5 (1.1)24390.24563.2 (1.6)24660.2637
Female3.5 (1.1)[EMPTY_CELL][EMPTY_CELL]3.6 (1.1)[EMPTY_CELL][EMPTY_CELL]3.2 (1.6)[EMPTY_CELL][EMPTY_CELL]
Ethnicity[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
White3.5 (1.2)[EMPTY_CELL]0.74063.6 (1.1)30.70513.2 (1.6)3<0.01
Black/mixed3.5 (1.2)[EMPTY_CELL][EMPTY_CELL]3.7 (1.2)[EMPTY_CELL][EMPTY_CELL]2.8 (1.6)[EMPTY_CELL][EMPTY_CELL]
Asian/mixed3.5 (1.3)[EMPTY_CELL][EMPTY_CELL]3.5 (1.0)[EMPTY_CELL][EMPTY_CELL]2.7 (1.6)[EMPTY_CELL][EMPTY_CELL]
Other3.4 (1.3)[EMPTY_CELL][EMPTY_CELL]3.7 (1.3)[EMPTY_CELL][EMPTY_CELL]3.2 (1.6)[EMPTY_CELL][EMPTY_CELL]
IMD score[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Quintile 13.4 (1.2)[EMPTY_CELL]0.06183.6 (1.2)40.12032.9 (1.6)4<0.01
Quintile 23.5 (1.2)[EMPTY_CELL][EMPTY_CELL]3.5 (1.1)[EMPTY_CELL][EMPTY_CELL]3.0 (1.6 )[EMPTY_CELL][EMPTY_CELL]
Quintile 33.5 (1.1)[EMPTY_CELL][EMPTY_CELL]3.6 (1.1)[EMPTY_CELL][EMPTY_CELL]3.2 (1.6)[EMPTY_CELL][EMPTY_CELL]
Quintile 43.5 (1.2)[EMPTY_CELL][EMPTY_CELL]3.5 (1.1)[EMPTY_CELL][EMPTY_CELL]3.4 (1.5)[EMPTY_CELL][EMPTY_CELL]
Quintile 53.6 (1.2)[EMPTY_CELL][EMPTY_CELL]3.7 (1.2)[EMPTY_CELL][EMPTY_CELL]3.5 (1.5)[EMPTY_CELL][EMPTY_CELL]
Smoker in same household[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
No3.5 (1.2)[EMPTY_CELL][EMPTY_CELL]3.5 (1.1)[EMPTY_CELL][EMPTY_CELL]3.2 (1.6)[EMPTY_CELL][EMPTY_CELL]
Yes3.6 (1.2)[EMPTY_CELL]<0.053.6 (1.1)24780.20633.3 (1.6)2505<0.05
Free prescription entitlement[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
No3.4 (1.1)[EMPTY_CELL][EMPTY_CELL]3.4 (1.1)[EMPTY_CELL][EMPTY_CELL]2.9 (1.6)[EMPTY_CELL][EMPTY_CELL]
Yes3.6 (1.2)[EMPTY_CELL]<0.013.6 (1.2)2456<0.013.4 (1.5)2483<0.01
Quit attempt in last 12 months[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
No3.5 (1.2)[EMPTY_CELL][EMPTY_CELL]3.5 (1.1)[EMPTY_CELL][EMPTY_CELL]3.2 (1.6)[EMPTY_CELL][EMPTY_CELL]
Yes3.6 (1.1)[EMPTY_CELL]0.06213.7 (1.1)2475<0.013.2 (1.6)25010.2932
Cessation support last quit attempt[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
No3.5 (1.2)[EMPTY_CELL][EMPTY_CELL]3.5 (1.1)[EMPTY_CELL][EMPTY_CELL]3.1 (1.6)[EMPTY_CELL][EMPTY_CELL]
Yes3.7 (1.1)[EMPTY_CELL]<0.013.7 (1.1)2482<0.013.4 (1.5)2509<0.01
Current cessation support[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
No3.5 (1.2)[EMPTY_CELL][EMPTY_CELL]2.5 (1.1)[EMPTY_CELL][EMPTY_CELL]3.2 (1.6)[EMPTY_CELL][EMPTY_CELL]
Yes3.6 (1.2)[EMPTY_CELL]0.29693.6 (1.1)24820.38383.4 (1.5)2509<0.01
Trial intervention[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Reactive support without NRT3.6 (1.2)[EMPTY_CELL]0.71493.5 (1.2)30.67963.2 (1.6)30.9512
Reactive support with NRT3.5 (1.1)[EMPTY_CELL][EMPTY_CELL]3.6 (1.1)[EMPTY_CELL][EMPTY_CELL]3.2 (1.6)[EMPTY_CELL][EMPTY_CELL]
Proactive support without NRT3.5 (1.2)[EMPTY_CELL][EMPTY_CELL]3.5 (1.1)[EMPTY_CELL][EMPTY_CELL]3.2 (1.6)[EMPTY_CELL][EMPTY_CELL]
Proactive support with NRT3.5 (1.2)[EMPTY_CELL][EMPTY_CELL]3.6 (1.1)[EMPTY_CELL][EMPTY_CELL]3.2 (1.6)[EMPTY_CELL][EMPTY_CELL]
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\"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No\", \"bbox\": [1, 492, 12, 502]}, {\"cell\": \"3.5 (1.2)\", \"bbox\": [128, 492, 155, 502]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2.5 (1.1)\", \"bbox\": [256, 492, 283, 502]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3.2 (1.6)\", \"bbox\": [377, 492, 403, 502]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Yes\", \"bbox\": [1, 506, 13, 516]}, {\"cell\": \"3.6 (1.2)\", \"bbox\": [128, 506, 155, 516]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [179, 506, 196, 516]}, {\"cell\": \"0.2969\", \"bbox\": [216, 506, 239, 516]}, {\"cell\": \"3.6 (1.1)\", \"bbox\": [256, 506, 283, 516]}, {\"cell\": \"2482\", \"bbox\": [307, 506, 324, 516]}, {\"cell\": \"0.3838\", \"bbox\": [337, 506, 359, 516]}, {\"cell\": \"3.4 (1.5)\", \"bbox\": [377, 506, 403, 516]}, {\"cell\": \"2509\", \"bbox\": [427, 506, 444, 516]}, {\"cell\": \"<0.01\", \"bbox\": [457, 506, 477, 516]}, {\"cell\": \"Trial intervention\", \"bbox\": [1, 520, 56, 530]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Reactive support without NRT\", \"bbox\": [1, 534, 98, 544]}, {\"cell\": \"3.6 (1.2)\", \"bbox\": [128, 534, 155, 544]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [179, 534, 184, 544]}, {\"cell\": \"0.7149\", \"bbox\": [216, 534, 239, 544]}, {\"cell\": \"3.5 (1.2)\", \"bbox\": [256, 534, 283, 544]}, {\"cell\": \"3\", \"bbox\": [307, 534, 312, 544]}, {\"cell\": \"0.6796\", \"bbox\": [337, 534, 359, 544]}, {\"cell\": \"3.2 (1.6)\", \"bbox\": [377, 534, 403, 544]}, {\"cell\": \"3\", \"bbox\": [427, 534, 433, 544]}, {\"cell\": \"0.9512\", \"bbox\": [457, 534, 479, 544]}, {\"cell\": \"Reactive support with NRT\", \"bbox\": [1, 548, 87, 558]}, {\"cell\": \"3.5 (1.1)\", \"bbox\": [128, 548, 155, 558]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3.6 (1.1)\", \"bbox\": [256, 548, 283, 558]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3.2 (1.6)\", \"bbox\": [377, 548, 403, 558]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Proactive support without NRT\", \"bbox\": [1, 562, 101, 572]}, {\"cell\": \"3.5 (1.2)\", \"bbox\": [128, 562, 155, 572]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3.5 (1.1)\", \"bbox\": [256, 562, 283, 572]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3.2 (1.6)\", \"bbox\": [377, 562, 403, 572]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Proactive support with NRT\", \"bbox\": [1, 576, 90, 586]}, {\"cell\": \"3.5 (1.2)\", \"bbox\": [128, 576, 155, 586]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3.6 (1.1)\", \"bbox\": [256, 576, 283, 586]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3.2 (1.6)\", \"bbox\": [377, 576, 403, 586]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4414292_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Number of pen samples by the categories of the outcome variable[EMPTY_CELL]Number of pen samples by the categories of the outcome variable
[EMPTY_CELL]123[EMPTY_CELL]123
PEN VARIABLES
The pen has direct access to outside[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
No11463092[EMPTY_CELL]6261944
Yes3541632[EMPTY_CELL]8742780
Individual pen[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
No11944198[EMPTY_CELL]229727
Yes306524[EMPTY_CELL]12303697
Missing observations002[EMPTY_CELL]4130
Diarrhoea in the last 3 months[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
No144545118[EMPTY_CELL]139510
Yes3312[EMPTY_CELL]136141114
Missing observations2204[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Age of the breeding sows[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]19988
Only gilts or gilts and others8743873[EMPTY_CELL]130138116
Without gilts626851[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Sex of the breeding pigs[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]129138111
Only females143044114[EMPTY_CELL]209813
Males and females70210[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Breeding sector[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]122945103
Mating room2101021[EMPTY_CELL]271121
Gestation room7892662[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Mixture of room58114[EMPTY_CELL]121111
Farrowing room390722[EMPTY_CELL]137945113
Replacement breeders4425[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]12843494
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]2161230
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Number of pen samples by the categories of the outcome variable\", \"bbox\": [118, 4, 204, 31]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Number of pen samples by the categories of the outcome variable\", \"bbox\": [393, 4, 478, 31]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [118, 35, 124, 45]}, {\"cell\": \"2\", \"bbox\": [154, 35, 160, 45]}, {\"cell\": \"3\", \"bbox\": [182, 35, 188, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [393, 35, 399, 45]}, {\"cell\": \"2\", \"bbox\": [428, 35, 435, 45]}, {\"cell\": \"3\", \"bbox\": [456, 35, 463, 45]}, {\"cell\": \"PEN VARIABLES\", \"bbox\": [1, 48, 57, 58]}, {\"cell\": \"The pen has direct access to outside\", \"bbox\": [1, 61, 114, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [214, 61, 331, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No\", \"bbox\": [103, 74, 114, 84]}, {\"cell\": \"1146\", \"bbox\": [133, 74, 150, 84]}, {\"cell\": \"30\", \"bbox\": [168, 74, 178, 84]}, {\"cell\": \"92\", \"bbox\": [200, 74, 210, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [377, 74, 389, 84]}, {\"cell\": \"626\", \"bbox\": [411, 74, 424, 84]}, {\"cell\": \"19\", \"bbox\": [443, 74, 452, 84]}, {\"cell\": \"44\", \"bbox\": [475, 74, 484, 84]}, {\"cell\": \"Yes\", \"bbox\": [101, 88, 114, 97]}, {\"cell\": \"354\", \"bbox\": [136, 88, 150, 97]}, {\"cell\": \"16\", \"bbox\": [168, 88, 178, 97]}, {\"cell\": \"32\", \"bbox\": [200, 88, 210, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 88, 389, 97]}, {\"cell\": \"874\", \"bbox\": [411, 88, 424, 97]}, {\"cell\": \"27\", \"bbox\": [443, 88, 452, 97]}, {\"cell\": \"80\", \"bbox\": [475, 88, 484, 97]}, {\"cell\": \"Individual pen\", \"bbox\": [1, 101, 46, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [214, 101, 230, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No\", \"bbox\": [103, 114, 114, 123]}, {\"cell\": \"1194\", \"bbox\": [133, 114, 150, 123]}, {\"cell\": \"41\", \"bbox\": [168, 114, 178, 123]}, {\"cell\": \"98\", \"bbox\": [200, 114, 210, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [356, 114, 389, 123]}, {\"cell\": \"229\", \"bbox\": [411, 114, 424, 123]}, {\"cell\": \"7\", \"bbox\": [447, 114, 453, 123]}, {\"cell\": \"27\", \"bbox\": [475, 114, 484, 123]}, {\"cell\": \"Yes\", \"bbox\": [101, 127, 114, 137]}, {\"cell\": \"306\", \"bbox\": [136, 127, 150, 137]}, {\"cell\": \"5\", \"bbox\": [172, 127, 178, 137]}, {\"cell\": \"24\", \"bbox\": [200, 127, 210, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 127, 389, 137]}, {\"cell\": \"1230\", \"bbox\": [408, 127, 424, 137]}, {\"cell\": \"36\", \"bbox\": [443, 127, 452, 137]}, {\"cell\": \"97\", \"bbox\": [475, 127, 484, 137]}, {\"cell\": \"Missing observations\", \"bbox\": [46, 140, 114, 150]}, {\"cell\": \"0\", \"bbox\": [144, 140, 150, 150]}, {\"cell\": \"0\", \"bbox\": [172, 140, 178, 150]}, {\"cell\": \"2\", \"bbox\": [204, 140, 210, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [374, 140, 389, 150]}, {\"cell\": \"41\", \"bbox\": [415, 140, 424, 150]}, {\"cell\": \"3\", \"bbox\": [447, 140, 453, 150]}, {\"cell\": \"0\", \"bbox\": [479, 140, 484, 150]}, {\"cell\": \"Diarrhoea in the last 3 months\", \"bbox\": [1, 153, 98, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [214, 153, 231, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No\", \"bbox\": [103, 167, 114, 176]}, {\"cell\": \"1445\", \"bbox\": [133, 167, 150, 176]}, {\"cell\": \"45\", \"bbox\": [168, 167, 178, 176]}, {\"cell\": \"118\", \"bbox\": [196, 167, 210, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [349, 167, 389, 176]}, {\"cell\": \"139\", \"bbox\": [411, 167, 424, 176]}, {\"cell\": \"5\", \"bbox\": [447, 167, 453, 176]}, {\"cell\": \"10\", \"bbox\": [475, 167, 484, 176]}, {\"cell\": \"Yes\", \"bbox\": [101, 180, 114, 189]}, {\"cell\": \"33\", \"bbox\": [141, 180, 150, 189]}, {\"cell\": \"1\", \"bbox\": [172, 180, 178, 189]}, {\"cell\": \"2\", \"bbox\": [204, 180, 210, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 180, 389, 189]}, {\"cell\": \"1361\", \"bbox\": [407, 180, 424, 189]}, {\"cell\": \"41\", \"bbox\": [443, 180, 452, 189]}, {\"cell\": \"114\", \"bbox\": [471, 180, 484, 189]}, {\"cell\": \"Missing observations\", \"bbox\": [46, 193, 114, 202]}, {\"cell\": \"22\", \"bbox\": [140, 193, 150, 202]}, {\"cell\": \"0\", \"bbox\": [172, 193, 178, 202]}, {\"cell\": \"4\", \"bbox\": [204, 193, 210, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [214, 193, 260, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Age of the breeding sows\", \"bbox\": [1, 206, 81, 216]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 206, 389, 216]}, {\"cell\": \"199\", \"bbox\": [411, 206, 424, 216]}, {\"cell\": \"8\", \"bbox\": [447, 206, 453, 216]}, {\"cell\": \"8\", \"bbox\": [479, 206, 484, 216]}, {\"cell\": \"Only gilts or gilts and others\", \"bbox\": [21, 219, 114, 229]}, {\"cell\": \"874\", \"bbox\": [136, 219, 150, 229]}, {\"cell\": \"38\", \"bbox\": [168, 219, 178, 229]}, {\"cell\": \"73\", \"bbox\": [200, 219, 210, 229]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [331, 219, 389, 229]}, {\"cell\": \"1301\", \"bbox\": [408, 219, 424, 229]}, {\"cell\": \"38\", \"bbox\": [443, 219, 452, 229]}, {\"cell\": \"116\", \"bbox\": [471, 219, 484, 229]}, {\"cell\": \"Without gilts\", \"bbox\": [71, 232, 114, 242]}, {\"cell\": \"626\", \"bbox\": [136, 232, 150, 242]}, {\"cell\": \"8\", \"bbox\": [172, 232, 178, 242]}, {\"cell\": \"51\", \"bbox\": [200, 232, 210, 242]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [214, 232, 389, 242]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Sex of the breeding pigs\", \"bbox\": [1, 245, 77, 255]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [377, 245, 389, 255]}, {\"cell\": \"1291\", \"bbox\": [407, 245, 424, 255]}, {\"cell\": \"38\", \"bbox\": [443, 245, 452, 255]}, {\"cell\": \"111\", \"bbox\": [471, 245, 484, 255]}, {\"cell\": \"Only females\", \"bbox\": [71, 259, 114, 268]}, {\"cell\": \"1430\", \"bbox\": [133, 259, 150, 268]}, {\"cell\": \"44\", \"bbox\": [168, 259, 178, 268]}, {\"cell\": \"114\", \"bbox\": [196, 259, 210, 268]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 259, 389, 268]}, {\"cell\": \"209\", \"bbox\": [411, 259, 424, 268]}, {\"cell\": \"8\", \"bbox\": [447, 259, 453, 268]}, {\"cell\": \"13\", \"bbox\": [475, 259, 484, 268]}, {\"cell\": \"Males and females\", \"bbox\": [53, 272, 114, 281]}, {\"cell\": \"70\", \"bbox\": [118, 272, 128, 281]}, {\"cell\": \"2\", \"bbox\": [154, 272, 160, 281]}, {\"cell\": \"10\", \"bbox\": [182, 272, 191, 281]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [214, 272, 364, 281]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Breeding sector\", \"bbox\": [0, 285, 49, 294]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [377, 285, 389, 294]}, {\"cell\": \"1229\", \"bbox\": [407, 285, 424, 294]}, {\"cell\": \"45\", \"bbox\": [443, 285, 452, 294]}, {\"cell\": \"103\", \"bbox\": [471, 285, 484, 294]}, {\"cell\": \"Mating room\", \"bbox\": [70, 298, 114, 308]}, {\"cell\": \"210\", \"bbox\": [136, 298, 150, 308]}, {\"cell\": \"10\", \"bbox\": [168, 298, 178, 308]}, {\"cell\": \"21\", \"bbox\": [200, 298, 210, 308]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 298, 389, 308]}, {\"cell\": \"271\", \"bbox\": [411, 298, 424, 308]}, {\"cell\": \"1\", \"bbox\": [447, 298, 453, 308]}, {\"cell\": \"21\", \"bbox\": [475, 298, 484, 308]}, {\"cell\": \"Gestation room\", \"bbox\": [62, 311, 114, 321]}, {\"cell\": \"789\", \"bbox\": [136, 311, 150, 321]}, {\"cell\": \"26\", \"bbox\": [168, 311, 178, 321]}, {\"cell\": \"62\", \"bbox\": [200, 311, 210, 321]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [214, 311, 325, 321]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Mixture of room\", \"bbox\": [60, 324, 114, 334]}, {\"cell\": \"58\", \"bbox\": [140, 324, 150, 334]}, {\"cell\": \"1\", \"bbox\": [172, 324, 178, 334]}, {\"cell\": \"14\", \"bbox\": [200, 324, 210, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [331, 324, 389, 334]}, {\"cell\": \"121\", \"bbox\": [411, 324, 424, 334]}, {\"cell\": \"1\", \"bbox\": [447, 324, 453, 334]}, {\"cell\": \"11\", \"bbox\": [475, 324, 484, 334]}, {\"cell\": \"Farrowing room\", \"bbox\": [60, 337, 114, 347]}, {\"cell\": \"390\", \"bbox\": [137, 337, 150, 347]}, {\"cell\": \"7\", \"bbox\": [172, 337, 178, 347]}, {\"cell\": \"22\", \"bbox\": [201, 337, 210, 347]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [369, 337, 389, 347]}, {\"cell\": \"1379\", \"bbox\": [408, 337, 424, 347]}, {\"cell\": \"45\", \"bbox\": [443, 337, 452, 347]}, {\"cell\": \"113\", \"bbox\": [471, 337, 484, 347]}, {\"cell\": \"Replacement breeders\", \"bbox\": [40, 351, 114, 360]}, {\"cell\": \"44\", \"bbox\": [118, 351, 128, 360]}, {\"cell\": \"2\", \"bbox\": [154, 351, 160, 360]}, {\"cell\": \"5\", \"bbox\": [182, 351, 188, 360]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [300, 351, 389, 360]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [374, 364, 389, 373]}, {\"cell\": \"1284\", \"bbox\": [407, 364, 424, 373]}, {\"cell\": \"34\", \"bbox\": [443, 364, 452, 373]}, {\"cell\": \"94\", \"bbox\": [475, 364, 484, 373]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [374, 377, 389, 386]}, {\"cell\": \"216\", \"bbox\": [411, 377, 424, 386]}, {\"cell\": \"12\", \"bbox\": [443, 377, 452, 386]}, {\"cell\": \"30\", \"bbox\": [475, 377, 484, 386]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3514327_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
TestPatient ValuesReference Ranges
Calcium22.8 mg/dL (5.7 mmol/L)[EMPTY_CELL]
Albumin4.6 g/dL (46 g/L)[EMPTY_CELL]
Total protein8.5 g/dL (85 g/L)[EMPTY_CELL]
WBC count10.6 × 109/L[EMPTY_CELL]
Haemoglobin10.9 g/dL (109 g/L)[EMPTY_CELL]
Haematocrit31.4% (0.314)[EMPTY_CELL]
ESR30 mm/hr[EMPTY_CELL]
Iron saturation10.10%[EMPTY_CELL]
Sodium133 mmol/L[EMPTY_CELL]
Potassium2.6 mmol/L[EMPTY_CELL]
Chloride93 mmol/L[EMPTY_CELL]
Bicarbonate36 mmol/L[EMPTY_CELL]
Blood urea nitrogen48 mg/dL[EMPTY_CELL]
Creatinine2.1 mg/dL (186 μmol/L)[EMPTY_CELL]
Magnesium1.5 mg/dL (0.62 mmol/L)[EMPTY_CELL]
Phosphate2.9 mg/dL (0.94 mmol/L)[EMPTY_CELL]
Alkaline phosphatase137 U/L[EMPTY_CELL]
TSH89.8 mIU/mL[EMPTY_CELL]
Free T40.65 ug/dL (8.4 pmol/L)[EMPTY_CELL]
CPK473 U/L[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Test\", \"bbox\": [5, 4, 22, 14]}, {\"cell\": \"Patient Values\", \"bbox\": [60, 4, 107, 14]}, {\"cell\": \"Reference Ranges\", \"bbox\": [157, 4, 216, 14]}, {\"cell\": \"Calcium\", \"bbox\": [5, 21, 33, 30]}, {\"cell\": \"22.8 mg/dL (5.7 mmol/L)\", \"bbox\": [60, 21, 143, 30]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 21, 201, 30]}, {\"cell\": \"Albumin\", \"bbox\": [5, 30, 34, 39]}, {\"cell\": \"4.6 g/dL (46 g/L)\", \"bbox\": [60, 30, 116, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 30, 197, 39]}, {\"cell\": \"Total protein\", \"bbox\": [5, 39, 50, 48]}, {\"cell\": \"8.5 g/dL (85 g/L)\", \"bbox\": [60, 39, 116, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 39, 197, 48]}, {\"cell\": \"WBC count\", \"bbox\": [5, 48, 47, 57]}, {\"cell\": \"10.6 × 109/L\", \"bbox\": [60, 48, 104, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 48, 213, 57]}, {\"cell\": \"Haemoglobin\", \"bbox\": [5, 57, 50, 66]}, {\"cell\": \"10.9 g/dL (109 g/L)\", \"bbox\": [60, 57, 124, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 57, 205, 66]}, {\"cell\": \"Haematocrit\", \"bbox\": [5, 66, 47, 75]}, {\"cell\": \"31.4% (0.314)\", \"bbox\": [60, 66, 107, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 66, 194, 75]}, {\"cell\": \"ESR\", \"bbox\": [5, 75, 20, 84]}, {\"cell\": \"30 mm/hr\", \"bbox\": [60, 75, 94, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 75, 198, 84]}, {\"cell\": \"Iron saturation\", \"bbox\": [5, 84, 39, 102]}, {\"cell\": \"10.10%\", \"bbox\": [60, 84, 85, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 84, 183, 93]}, {\"cell\": \"Sodium\", \"bbox\": [5, 101, 31, 111]}, {\"cell\": \"133 mmol/L\", \"bbox\": [60, 101, 101, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 101, 212, 111]}, {\"cell\": \"Potassium\", \"bbox\": [5, 110, 40, 120]}, {\"cell\": \"2.6 mmol/L\", \"bbox\": [60, 110, 99, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 110, 208, 120]}, {\"cell\": \"Chloride\", \"bbox\": [5, 119, 36, 129]}, {\"cell\": \"93 mmol/L\", \"bbox\": [60, 119, 97, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 119, 208, 129]}, {\"cell\": \"Bicarbonate\", \"bbox\": [5, 128, 45, 138]}, {\"cell\": \"36 mmol/L\", \"bbox\": [60, 128, 97, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 128, 204, 138]}, {\"cell\": \"Blood urea nitrogen\", \"bbox\": [5, 137, 43, 156]}, {\"cell\": \"48 mg/dL\", \"bbox\": [60, 137, 92, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 137, 207, 147]}, {\"cell\": \"Creatinine\", \"bbox\": [5, 155, 41, 165]}, {\"cell\": \"2.1 mg/dL (186 μmol/L)\", \"bbox\": [60, 155, 139, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 155, 203, 165]}, {\"cell\": \"Magnesium\", \"bbox\": [5, 164, 43, 174]}, {\"cell\": \"1.5 mg/dL (0.62 mmol/L)\", \"bbox\": [60, 164, 143, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 164, 203, 174]}, {\"cell\": \"Phosphate\", \"bbox\": [5, 173, 40, 183]}, {\"cell\": \"2.9 mg/dL (0.94 mmol/L)\", \"bbox\": [60, 173, 143, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 173, 203, 183]}, {\"cell\": \"Alkaline phosphatase\", \"bbox\": [5, 182, 47, 201]}, {\"cell\": \"137 U/L\", \"bbox\": [60, 182, 88, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 182, 196, 192]}, {\"cell\": \"TSH\", \"bbox\": [5, 200, 22, 210]}, {\"cell\": \"89.8 mIU/mL\", \"bbox\": [60, 200, 104, 210]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 200, 209, 210]}, {\"cell\": \"Free T4\", \"bbox\": [5, 209, 33, 219]}, {\"cell\": \"0.65 ug/dL (8.4 pmol/L)\", \"bbox\": [60, 209, 138, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 209, 209, 219]}, {\"cell\": \"CPK\", \"bbox\": [5, 218, 22, 227]}, {\"cell\": \"473 U/L\", \"bbox\": [60, 218, 88, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 218, 196, 227]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2827131_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Verbal Memory ProcessVerbal Delayed Index (CMS)Vocabulary (WISC-IV)Similarities (WISC-IV)Comprehension (WISC-IV)
CMS Score[EMPTY_CELL]nrnrnrn
EncodingImmediate Memory[EMPTY_CELL]2320.51 **1930.49 **1930.51 **193
RetentionRetention[EMPTY_CELL]180−0.031500.10150−0.01150
RetrievalDelayed Memory Contrast[EMPTY_CELL]2120.061760.15 *1760.08176
\", \"cells\": [{\"cell\": \"Verbal Memory Process\", \"bbox\": [8, 11, 123, 25]}, {\"cell\": \"Verbal Delayed Index (CMS)\", \"bbox\": [136, 3, 211, 33]}, {\"cell\": \"Vocabulary (WISC-IV)\", \"bbox\": [238, 3, 295, 33]}, {\"cell\": \"Similarities (WISC-IV)\", \"bbox\": [333, 3, 389, 33]}, {\"cell\": \"Comprehension (WISC-IV)\", \"bbox\": [416, 3, 492, 33]}, {\"cell\": \"CMS Score\", \"bbox\": [40, 36, 91, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 36, 159, 48]}, {\"cell\": \"n\", \"bbox\": [194, 36, 201, 48]}, {\"cell\": \"r\", \"bbox\": [242, 36, 248, 48]}, {\"cell\": \"n\", \"bbox\": [289, 36, 296, 48]}, {\"cell\": \"r\", \"bbox\": [337, 36, 343, 48]}, {\"cell\": \"n\", \"bbox\": [383, 36, 391, 48]}, {\"cell\": \"r\", \"bbox\": [430, 36, 436, 48]}, {\"cell\": \"n\", \"bbox\": [475, 36, 482, 48]}, {\"cell\": \"EncodingImmediate Memory\", \"bbox\": [22, 52, 109, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [137, 59, 172, 71]}, {\"cell\": \"232\", \"bbox\": [188, 59, 207, 71]}, {\"cell\": \"0.51 **\", \"bbox\": [230, 59, 265, 71]}, {\"cell\": \"193\", \"bbox\": [283, 59, 302, 71]}, {\"cell\": \"0.49 **\", \"bbox\": [325, 59, 360, 71]}, {\"cell\": \"193\", \"bbox\": [378, 59, 396, 71]}, {\"cell\": \"0.51 **\", \"bbox\": [418, 59, 453, 71]}, {\"cell\": \"193\", \"bbox\": [470, 59, 488, 71]}, {\"cell\": \"RetentionRetention\", \"bbox\": [43, 82, 88, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [145, 89, 166, 101]}, {\"cell\": \"180\", \"bbox\": [188, 89, 207, 101]}, {\"cell\": \"−0.03\", \"bbox\": [231, 86, 259, 102]}, {\"cell\": \"150\", \"bbox\": [283, 89, 302, 101]}, {\"cell\": \"0.10\", \"bbox\": [332, 89, 353, 101]}, {\"cell\": \"150\", \"bbox\": [378, 89, 396, 101]}, {\"cell\": \"−0.01\", \"bbox\": [419, 86, 446, 102]}, {\"cell\": \"150\", \"bbox\": [470, 89, 488, 101]}, {\"cell\": \"RetrievalDelayed Memory Contrast\", \"bbox\": [27, 112, 105, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [137, 127, 172, 139]}, {\"cell\": \"212\", \"bbox\": [188, 127, 207, 139]}, {\"cell\": \"0.06\", \"bbox\": [237, 127, 258, 139]}, {\"cell\": \"176\", \"bbox\": [283, 127, 302, 139]}, {\"cell\": \"0.15 *\", \"bbox\": [327, 127, 357, 139]}, {\"cell\": \"176\", \"bbox\": [378, 127, 396, 139]}, {\"cell\": \"0.08\", \"bbox\": [422, 127, 443, 139]}, {\"cell\": \"176\", \"bbox\": [470, 127, 488, 139]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4217590_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Item
[EMPTY_CELL]I identify my own professional development needs
[EMPTY_CELL]I actively engage in formal and/or informal professional development in learning and teaching
[EMPTY_CELL]I am familiar with, and keep up to date with, policies and procedures that affect my work
[EMPTY_CELL]I am aware of institutional student support such as academic skills programs, counselling, and disability services.
[EMPTY_CELL]I receive ongoing formal and informal feedback from the unit coordinator, peers and students
[EMPTY_CELL]I am aware of my roles and responsibilities as a sessional staff member
[EMPTY_CELL]I critically reflect (with myself and/or with others) on students’ learning, my teaching, and my professional development as a teacher
[EMPTY_CELL]I provide ongoing feedback to my department and unit coordinator
[EMPTY_CELL]I participate in, or contribute to, institutional/department/unit events and activities
[EMPTY_CELL]I am aware of opportunities in my school/university to gain recognition and reward for my contribution to quality teaching and learning.
[EMPTY_CELL]I am aware of departmental websites, learning management systems, discussion fora, and email
[EMPTY_CELL]I maintain regular and timely communication with my unit coordinator, department, and human resources.
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Item\", \"bbox\": [21, 4, 38, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 8, 27]}, {\"cell\": \"I identify my own professional development needs\", \"bbox\": [21, 17, 187, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 31, 8, 41]}, {\"cell\": \"I actively engage in formal and/or informal professional development in learning and teaching\", \"bbox\": [21, 31, 202, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 54, 8, 64]}, {\"cell\": \"I am familiar with, and keep up to date with, policies and procedures that affect my work\", \"bbox\": [21, 54, 208, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 77, 8, 87]}, {\"cell\": \"I am aware of institutional student support such as academic skills programs, counselling, and disability services.\", \"bbox\": [21, 77, 236, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 100, 8, 110]}, {\"cell\": \"I receive ongoing formal and informal feedback from the unit coordinator, peers and students\", \"bbox\": [21, 100, 222, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 123, 8, 133]}, {\"cell\": \"I am aware of my roles and responsibilities as a sessional staff member\", \"bbox\": [21, 123, 221, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 146, 8, 156]}, {\"cell\": \"I critically reflect (with myself and/or with others) on students’ learning, my teaching, and my professional development as a teacher\", \"bbox\": [21, 146, 223, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 178, 8, 188]}, {\"cell\": \"I provide ongoing feedback to my department and unit coordinator\", \"bbox\": [21, 178, 203, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 201, 8, 211]}, {\"cell\": \"I participate in, or contribute to, institutional/department/unit events and activities\", \"bbox\": [21, 201, 221, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 224, 11, 234]}, {\"cell\": \"I am aware of opportunities in my school/university to gain recognition and reward for my contribution to quality teaching and learning.\", \"bbox\": [21, 224, 227, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 256, 11, 266]}, {\"cell\": \"I am aware of departmental websites, learning management systems, discussion fora, and email\", \"bbox\": [21, 256, 218, 275]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 279, 11, 289]}, {\"cell\": \"I maintain regular and timely communication with my unit coordinator, department, and human resources.\", \"bbox\": [21, 279, 213, 298]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5968670_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
MeasuresT1T2T3T4ChildParent1Parent2
Child diagnoses (DISC)[EMPTY_CELL]-XXXX-
Child anxiety and depression (RCADS)[EMPTY_CELL]XXXXX-
Child impairment (BIS)[EMPTY_CELL]XXXX--
Child externalizing symptoms (SNAP)[EMPTY_CELL]XXXX--
Child attachment (IPPA)[EMPTY_CELL]XXXX--
Implicit child attachment (ABT)[EMPTY_CELL]------
Child coping (CSLK)[EMPTY_CELL]XXXX--
Child attributions (CASQ)[EMPTY_CELL]XXXX--
Child optimism (YLOT)[EMPTY_CELL]XXXX--
Child self-esteem (RSES)[EMPTY_CELL]XXXX--
Expressed emotion (FMSS)[EMPTY_CELL]----XX
Implicit Self-associations (EAST)[EMPTY_CELL]------
Child executive functions (BRIEF)[EMPTY_CELL]----X-
Child temperament (EATQ)[EMPTY_CELL]XXX-X-
Parent positive and negative affect (PANAS)[EMPTY_CELL]XXX-XX
Parent depression (BDI)[EMPTY_CELL]XXX-XX
Parent anxiety (BAI)[EMPTY_CELL]XXX-XX
Parent substance misuse (AUDIT)[EMPTY_CELL]XXX-XX
Parent optimism (LOT)[EMPTY_CELL]XXX-XX
Parent psychopathology (CIDI)[EMPTY_CELL]----XX
Cost Effectiveness*[EMPTY_CELL]XXX-XX
Quality of life (EQ-5D)*[EMPTY_CELL]XXXXXX
\", \"cells\": [{\"cell\": \"Measures\", \"bbox\": [1, 4, 35, 12]}, {\"cell\": \"T1\", \"bbox\": [174, 4, 184, 12]}, {\"cell\": \"T2\", \"bbox\": [216, 4, 227, 12]}, {\"cell\": \"T3\", \"bbox\": [259, 4, 269, 12]}, {\"cell\": \"T4\", \"bbox\": [301, 4, 312, 12]}, {\"cell\": \"Child\", \"bbox\": [343, 4, 363, 12]}, {\"cell\": \"Parent1\", \"bbox\": [395, 4, 424, 12]}, {\"cell\": \"Parent2\", \"bbox\": [456, 4, 484, 12]}, {\"cell\": \"Child diagnoses (DISC)\", \"bbox\": [1, 17, 75, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 17, 180, 26]}, {\"cell\": \"-\", \"bbox\": [216, 17, 221, 26]}, {\"cell\": \"X\", \"bbox\": [259, 17, 265, 26]}, {\"cell\": \"X\", \"bbox\": [301, 17, 307, 26]}, {\"cell\": \"X\", \"bbox\": [343, 17, 350, 26]}, {\"cell\": \"X\", \"bbox\": [395, 17, 401, 26]}, {\"cell\": \"-\", \"bbox\": [456, 17, 460, 26]}, {\"cell\": \"Child anxiety and depression (RCADS)\", \"bbox\": [1, 31, 123, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 31, 180, 40]}, {\"cell\": \"X\", \"bbox\": [216, 31, 223, 40]}, {\"cell\": \"X\", \"bbox\": [259, 31, 265, 40]}, {\"cell\": \"X\", \"bbox\": [301, 31, 307, 40]}, {\"cell\": \"X\", \"bbox\": [343, 31, 350, 40]}, {\"cell\": \"X\", \"bbox\": [395, 31, 401, 40]}, {\"cell\": \"-\", \"bbox\": [456, 31, 460, 40]}, {\"cell\": \"Child impairment (BIS)\", \"bbox\": [1, 45, 74, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 45, 180, 54]}, {\"cell\": \"X\", \"bbox\": [216, 45, 223, 54]}, {\"cell\": \"X\", \"bbox\": [259, 45, 265, 54]}, {\"cell\": \"X\", \"bbox\": [301, 45, 307, 54]}, {\"cell\": \"X\", \"bbox\": [343, 45, 350, 54]}, {\"cell\": \"-\", \"bbox\": [395, 45, 399, 54]}, {\"cell\": \"-\", \"bbox\": [456, 45, 460, 54]}, {\"cell\": \"Child externalizing symptoms (SNAP)\", \"bbox\": [1, 59, 121, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 59, 180, 68]}, {\"cell\": \"X\", \"bbox\": [216, 59, 223, 68]}, {\"cell\": \"X\", \"bbox\": [259, 59, 265, 68]}, {\"cell\": \"X\", \"bbox\": [301, 59, 307, 68]}, {\"cell\": \"X\", \"bbox\": [343, 59, 350, 68]}, {\"cell\": \"-\", \"bbox\": [395, 59, 399, 68]}, {\"cell\": \"-\", \"bbox\": [456, 59, 460, 68]}, {\"cell\": \"Child attachment (IPPA)\", \"bbox\": [1, 73, 79, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 73, 180, 82]}, {\"cell\": \"X\", \"bbox\": [216, 73, 223, 82]}, {\"cell\": \"X\", \"bbox\": [259, 73, 265, 82]}, {\"cell\": \"X\", \"bbox\": [301, 73, 307, 82]}, {\"cell\": \"X\", \"bbox\": [343, 73, 350, 82]}, {\"cell\": \"-\", \"bbox\": [395, 73, 399, 82]}, {\"cell\": \"-\", \"bbox\": [456, 73, 460, 82]}, {\"cell\": \"Implicit child attachment (ABT)\", \"bbox\": [1, 87, 101, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 87, 180, 96]}, {\"cell\": \"-\", \"bbox\": [216, 87, 221, 96]}, {\"cell\": \"-\", \"bbox\": [259, 87, 263, 96]}, {\"cell\": \"-\", \"bbox\": [301, 87, 305, 96]}, {\"cell\": \"-\", \"bbox\": [343, 87, 348, 96]}, {\"cell\": \"-\", \"bbox\": [395, 87, 399, 96]}, {\"cell\": \"-\", \"bbox\": [456, 87, 460, 96]}, {\"cell\": \"Child coping (CSLK)\", \"bbox\": [1, 101, 65, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 101, 180, 110]}, {\"cell\": \"X\", \"bbox\": [216, 101, 223, 110]}, {\"cell\": \"X\", \"bbox\": [259, 101, 265, 110]}, {\"cell\": \"X\", \"bbox\": [301, 101, 307, 110]}, {\"cell\": \"X\", \"bbox\": [343, 101, 350, 110]}, {\"cell\": \"-\", \"bbox\": [395, 101, 399, 110]}, {\"cell\": \"-\", \"bbox\": [456, 101, 460, 110]}, {\"cell\": \"Child attributions (CASQ)\", \"bbox\": [1, 115, 82, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 115, 180, 124]}, {\"cell\": \"X\", \"bbox\": [216, 115, 223, 124]}, {\"cell\": \"X\", \"bbox\": [259, 115, 265, 124]}, {\"cell\": \"X\", \"bbox\": [301, 115, 307, 124]}, {\"cell\": \"X\", \"bbox\": [343, 115, 350, 124]}, {\"cell\": \"-\", \"bbox\": [395, 115, 399, 124]}, {\"cell\": \"-\", \"bbox\": [456, 115, 460, 124]}, {\"cell\": \"Child optimism (YLOT)\", \"bbox\": [1, 129, 74, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 129, 180, 138]}, {\"cell\": \"X\", \"bbox\": [216, 129, 223, 138]}, {\"cell\": \"X\", \"bbox\": [259, 129, 265, 138]}, {\"cell\": \"X\", \"bbox\": [301, 129, 307, 138]}, {\"cell\": \"X\", \"bbox\": [343, 129, 350, 138]}, {\"cell\": \"-\", \"bbox\": [395, 129, 399, 138]}, {\"cell\": \"-\", \"bbox\": [456, 129, 460, 138]}, {\"cell\": \"Child self-esteem (RSES)\", \"bbox\": [1, 142, 79, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 142, 180, 152]}, {\"cell\": \"X\", \"bbox\": [216, 142, 223, 152]}, {\"cell\": \"X\", \"bbox\": [259, 142, 265, 152]}, {\"cell\": \"X\", \"bbox\": [301, 142, 307, 152]}, {\"cell\": \"X\", \"bbox\": [343, 142, 350, 152]}, {\"cell\": \"-\", \"bbox\": [395, 142, 399, 152]}, {\"cell\": \"-\", \"bbox\": [456, 142, 460, 152]}, {\"cell\": \"Expressed emotion (FMSS)\", \"bbox\": [1, 156, 87, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 156, 180, 166]}, {\"cell\": \"-\", \"bbox\": [216, 156, 221, 166]}, {\"cell\": \"-\", \"bbox\": [259, 156, 263, 166]}, {\"cell\": \"-\", \"bbox\": [301, 156, 305, 166]}, {\"cell\": \"-\", \"bbox\": [343, 156, 348, 166]}, {\"cell\": \"X\", \"bbox\": [395, 156, 401, 166]}, {\"cell\": \"X\", \"bbox\": [456, 156, 462, 166]}, {\"cell\": \"Implicit Self-associations (EAST)\", \"bbox\": [1, 170, 101, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 170, 180, 180]}, {\"cell\": \"-\", \"bbox\": [216, 170, 221, 180]}, {\"cell\": \"-\", \"bbox\": [259, 170, 263, 180]}, {\"cell\": \"-\", \"bbox\": [301, 170, 305, 180]}, {\"cell\": \"-\", \"bbox\": [343, 170, 348, 180]}, {\"cell\": \"-\", \"bbox\": [395, 170, 399, 180]}, {\"cell\": \"-\", \"bbox\": [456, 170, 460, 180]}, {\"cell\": \"Child executive functions (BRIEF)\", \"bbox\": [1, 184, 106, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 184, 180, 194]}, {\"cell\": \"-\", \"bbox\": [216, 184, 221, 194]}, {\"cell\": \"-\", \"bbox\": [259, 184, 263, 194]}, {\"cell\": \"-\", \"bbox\": [301, 184, 305, 194]}, {\"cell\": \"-\", \"bbox\": [343, 184, 348, 194]}, {\"cell\": \"X\", \"bbox\": [395, 184, 401, 194]}, {\"cell\": \"-\", \"bbox\": [456, 184, 460, 194]}, {\"cell\": \"Child temperament (EATQ)\", \"bbox\": [1, 198, 89, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 198, 180, 208]}, {\"cell\": \"X\", \"bbox\": [216, 198, 223, 208]}, {\"cell\": \"X\", \"bbox\": [259, 198, 265, 208]}, {\"cell\": \"X\", \"bbox\": [301, 198, 307, 208]}, {\"cell\": \"-\", \"bbox\": [343, 198, 348, 208]}, {\"cell\": \"X\", \"bbox\": [395, 198, 401, 208]}, {\"cell\": \"-\", \"bbox\": [456, 198, 460, 208]}, {\"cell\": \"Parent positive and negative affect (PANAS)\", \"bbox\": [1, 212, 142, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 212, 180, 222]}, {\"cell\": \"X\", \"bbox\": [216, 212, 223, 222]}, {\"cell\": \"X\", \"bbox\": [259, 212, 265, 222]}, {\"cell\": \"X\", \"bbox\": [301, 212, 307, 222]}, {\"cell\": \"-\", \"bbox\": [343, 212, 348, 222]}, {\"cell\": \"X\", \"bbox\": [395, 212, 401, 222]}, {\"cell\": \"X\", \"bbox\": [456, 212, 462, 222]}, {\"cell\": \"Parent depression (BDI)\", \"bbox\": [1, 226, 77, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 226, 180, 236]}, {\"cell\": \"X\", \"bbox\": [216, 226, 223, 236]}, {\"cell\": \"X\", \"bbox\": [259, 226, 265, 236]}, {\"cell\": \"X\", \"bbox\": [301, 226, 307, 236]}, {\"cell\": \"-\", \"bbox\": [343, 226, 348, 236]}, {\"cell\": \"X\", \"bbox\": [395, 226, 401, 236]}, {\"cell\": \"X\", \"bbox\": [456, 226, 462, 236]}, {\"cell\": \"Parent anxiety (BAI)\", \"bbox\": [1, 240, 65, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 240, 180, 250]}, {\"cell\": \"X\", \"bbox\": [216, 240, 223, 250]}, {\"cell\": \"X\", \"bbox\": [259, 240, 265, 250]}, {\"cell\": \"X\", \"bbox\": [301, 240, 307, 250]}, {\"cell\": \"-\", \"bbox\": [343, 240, 348, 250]}, {\"cell\": \"X\", \"bbox\": [395, 240, 401, 250]}, {\"cell\": \"X\", \"bbox\": [456, 240, 462, 250]}, {\"cell\": \"Parent substance misuse (AUDIT)\", \"bbox\": [1, 254, 108, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 254, 180, 264]}, {\"cell\": \"X\", \"bbox\": [216, 254, 223, 264]}, {\"cell\": \"X\", \"bbox\": [259, 254, 265, 264]}, {\"cell\": \"X\", \"bbox\": [301, 254, 307, 264]}, {\"cell\": \"-\", \"bbox\": [343, 254, 348, 264]}, {\"cell\": \"X\", \"bbox\": [395, 254, 401, 264]}, {\"cell\": \"X\", \"bbox\": [456, 254, 462, 264]}, {\"cell\": \"Parent optimism (LOT)\", \"bbox\": [1, 268, 74, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 268, 180, 278]}, {\"cell\": \"X\", \"bbox\": [216, 268, 223, 278]}, {\"cell\": \"X\", \"bbox\": [259, 268, 265, 278]}, {\"cell\": \"X\", \"bbox\": [301, 268, 307, 278]}, {\"cell\": \"-\", \"bbox\": [343, 268, 348, 278]}, {\"cell\": \"X\", \"bbox\": [395, 268, 401, 278]}, {\"cell\": \"X\", \"bbox\": [456, 268, 462, 278]}, {\"cell\": \"Parent psychopathology (CIDI)\", \"bbox\": [1, 282, 100, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 282, 180, 291]}, {\"cell\": \"-\", \"bbox\": [216, 282, 221, 291]}, {\"cell\": \"-\", \"bbox\": [259, 282, 263, 291]}, {\"cell\": \"-\", \"bbox\": [301, 282, 305, 291]}, {\"cell\": \"-\", \"bbox\": [343, 282, 348, 291]}, {\"cell\": \"X\", \"bbox\": [395, 282, 401, 291]}, {\"cell\": \"X\", \"bbox\": [456, 282, 462, 291]}, {\"cell\": \"Cost Effectiveness*\", \"bbox\": [1, 296, 62, 305]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 296, 180, 305]}, {\"cell\": \"X\", \"bbox\": [216, 296, 223, 305]}, {\"cell\": \"X\", \"bbox\": [259, 296, 265, 305]}, {\"cell\": \"X\", \"bbox\": [301, 296, 307, 305]}, {\"cell\": \"-\", \"bbox\": [343, 296, 348, 305]}, {\"cell\": \"X\", \"bbox\": [395, 296, 401, 305]}, {\"cell\": \"X\", \"bbox\": [456, 296, 462, 305]}, {\"cell\": \"Quality of life (EQ-5D)*\", \"bbox\": [1, 310, 75, 319]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 310, 180, 319]}, {\"cell\": \"X\", \"bbox\": [216, 310, 223, 319]}, {\"cell\": \"X\", \"bbox\": [259, 310, 265, 319]}, {\"cell\": \"X\", \"bbox\": [301, 310, 307, 319]}, {\"cell\": \"X\", \"bbox\": [343, 310, 350, 319]}, {\"cell\": \"X\", \"bbox\": [395, 310, 401, 319]}, {\"cell\": \"X\", \"bbox\": [456, 310, 462, 319]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3403886_006_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]DiscontinuationWithdrawal
HR (95% CI)p-valueHR (95% CI)p-value
Age at baseline (per 10 years increase)0.81 (0.73, 0.89)[EMPTY_CELL]1.24 (1.04, 1.47)0.02
Sex
MaleReference[EMPTY_CELL]Reference[EMPTY_CELL]
Female0.91 (0.69, 1.21)[EMPTY_CELL]0.84 (0.52, 1.34)0.46
Marital status
MarriedReference[EMPTY_CELL]Reference[EMPTY_CELL]
Unmarried1.32 (0.97, 1.79)[EMPTY_CELL]0.72 (0.41, 1.28)0.26
Divorced/widowed1.18 (0.73, 1.93)[EMPTY_CELL]0.88 (0.38, 2.06)0.77
Highest completed educational level
Lower secondary education or apprenticeship1.41 (0.52, 3.84)[EMPTY_CELL]2.44 (0.58, 10.31)0.22
Still at upper secondary school0.89 (0.62, 1.29)[EMPTY_CELL]1.56 (0.89, 2.76)0.12
University entrance qualification1.13 (0.81, 1.56)[EMPTY_CELL]1.07 (0.59, 1.95)0.82
University degreeReference[EMPTY_CELL]Reference[EMPTY_CELL]
Frequency of Internet usage
DailyReference[EMPTY_CELL]Reference[EMPTY_CELL]
Less than daily1.23 (0.91, 1.67)[EMPTY_CELL]2.03 (1.26, 3.27)0.004
Self-rated health status
Fair/poor0.93 (0.55, 1.59)[EMPTY_CELL]1.57 (0.67, 3.68)0.30
Good1.09 (0.81, 1.47)[EMPTY_CELL]1.73 (1.03, 2.92)0.04
Excellent/very goodReference[EMPTY_CELL]Reference[EMPTY_CELL]
WHO-5 well-being index (per 10 points increase)0.96 (0.89, 1.03)[EMPTY_CELL]0.96 (0.85, 1.09)0.57
PSS score (per 1 point increase)1.07 (1.02, 1.12)[EMPTY_CELL]0.97 (0.89, 1.05)0.46
ID-Screen (per 1 point increase)1.03 (0.99, 1.07)[EMPTY_CELL]1.01 (0.95, 1.08)0.73
Time between invitation and returnof the filled informed consent form (per week)1.1 (1.04, 1.17)[EMPTY_CELL]0.98 (0.82, 1.16)0.78
Had to be reminded to fill in the first online questionnaire (A)
Yes1.85 (1.27, 2.7)[EMPTY_CELL]0.82 (0.33, 2.05)0.68
NoReference[EMPTY_CELL]Reference[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Discontinuation\", \"bbox\": [201, 4, 254, 13]}, {\"cell\": \"Withdrawal\", \"bbox\": [362, 4, 400, 13]}, {\"cell\": \"HR (95% CI)\", \"bbox\": [201, 17, 241, 27]}, {\"cell\": \"p-value\", \"bbox\": [295, 17, 320, 27]}, {\"cell\": \"HR (95% CI)\", \"bbox\": [362, 17, 402, 27]}, {\"cell\": \"p-value\", \"bbox\": [459, 17, 484, 27]}, {\"cell\": \"Age at baseline (per 10 years increase)\", \"bbox\": [1, 30, 126, 40]}, {\"cell\": \"0.81 (0.73, 0.89)\", \"bbox\": [201, 30, 252, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 30, 318, 40]}, {\"cell\": \"1.24 (1.04, 1.47)\", \"bbox\": [362, 30, 413, 40]}, {\"cell\": \"0.02\", \"bbox\": [459, 30, 474, 40]}, {\"cell\": \"Sex\", \"bbox\": [1, 44, 13, 54]}, {\"cell\": \" Male\", \"bbox\": [8, 58, 26, 68]}, {\"cell\": \"Reference\", \"bbox\": [201, 58, 235, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Reference\", \"bbox\": [362, 58, 396, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Female\", \"bbox\": [8, 72, 34, 82]}, {\"cell\": \"0.91 (0.69, 1.21)\", \"bbox\": [201, 72, 252, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 72, 309, 82]}, {\"cell\": \"0.84 (0.52, 1.34)\", \"bbox\": [362, 72, 413, 82]}, {\"cell\": \"0.46\", \"bbox\": [459, 72, 474, 82]}, {\"cell\": \"Marital status\", \"bbox\": [1, 86, 45, 96]}, {\"cell\": \" Married\", \"bbox\": [8, 100, 35, 110]}, {\"cell\": \"Reference\", \"bbox\": [201, 100, 235, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Reference\", \"bbox\": [362, 100, 396, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Unmarried\", \"bbox\": [8, 114, 44, 124]}, {\"cell\": \"1.32 (0.97, 1.79)\", \"bbox\": [201, 114, 252, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 114, 309, 124]}, {\"cell\": \"0.72 (0.41, 1.28)\", \"bbox\": [362, 114, 413, 124]}, {\"cell\": \"0.26\", \"bbox\": [459, 114, 474, 124]}, {\"cell\": \" Divorced/widowed\", \"bbox\": [8, 128, 72, 138]}, {\"cell\": \"1.18 (0.73, 1.93)\", \"bbox\": [201, 128, 252, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 128, 309, 138]}, {\"cell\": \"0.88 (0.38, 2.06)\", \"bbox\": [362, 128, 413, 138]}, {\"cell\": \"0.77\", \"bbox\": [459, 128, 474, 138]}, {\"cell\": \"Highest completed educational level\", \"bbox\": [1, 142, 120, 152]}, {\"cell\": \" Lower secondary education or apprenticeship\", \"bbox\": [8, 156, 158, 166]}, {\"cell\": \"1.41 (0.52, 3.84)\", \"bbox\": [201, 156, 252, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 156, 309, 166]}, {\"cell\": \"2.44 (0.58, 10.31)\", \"bbox\": [362, 156, 417, 166]}, {\"cell\": \"0.22\", \"bbox\": [459, 156, 474, 166]}, {\"cell\": \" Still at upper secondary school\", \"bbox\": [8, 170, 109, 180]}, {\"cell\": \"0.89 (0.62, 1.29)\", \"bbox\": [201, 170, 252, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 170, 309, 180]}, {\"cell\": \"1.56 (0.89, 2.76)\", \"bbox\": [362, 170, 413, 180]}, {\"cell\": \"0.12\", \"bbox\": [459, 170, 474, 180]}, {\"cell\": \" University entrance qualification\", \"bbox\": [8, 184, 113, 194]}, {\"cell\": \"1.13 (0.81, 1.56)\", \"bbox\": [201, 184, 252, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 184, 309, 194]}, {\"cell\": \"1.07 (0.59, 1.95)\", \"bbox\": [362, 184, 413, 194]}, {\"cell\": \"0.82\", \"bbox\": [459, 184, 474, 194]}, {\"cell\": \" University degree\", \"bbox\": [8, 198, 66, 208]}, {\"cell\": \"Reference\", \"bbox\": [201, 198, 235, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Reference\", \"bbox\": [362, 198, 396, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Frequency of Internet usage\", \"bbox\": [1, 212, 93, 222]}, {\"cell\": \" Daily\", \"bbox\": [8, 226, 26, 236]}, {\"cell\": \"Reference\", \"bbox\": [201, 226, 235, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Reference\", \"bbox\": [362, 226, 396, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Less than daily\", \"bbox\": [8, 240, 58, 250]}, {\"cell\": \"1.23 (0.91, 1.67)\", \"bbox\": [201, 240, 252, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 240, 309, 250]}, {\"cell\": \"2.03 (1.26, 3.27)\", \"bbox\": [362, 240, 413, 250]}, {\"cell\": \"0.004\", \"bbox\": [459, 240, 478, 250]}, {\"cell\": \"Self-rated health status\", \"bbox\": [1, 254, 76, 264]}, {\"cell\": \" Fair/poor\", \"bbox\": [8, 268, 40, 278]}, {\"cell\": \"0.93 (0.55, 1.59)\", \"bbox\": [201, 268, 252, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 268, 309, 278]}, {\"cell\": \"1.57 (0.67, 3.68)\", \"bbox\": [362, 268, 413, 278]}, {\"cell\": \"0.30\", \"bbox\": [459, 268, 474, 278]}, {\"cell\": \" Good\", \"bbox\": [8, 282, 28, 292]}, {\"cell\": \"1.09 (0.81, 1.47)\", \"bbox\": [201, 282, 252, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 282, 309, 292]}, {\"cell\": \"1.73 (1.03, 2.92)\", \"bbox\": [362, 282, 413, 292]}, {\"cell\": \"0.04\", \"bbox\": [459, 282, 474, 292]}, {\"cell\": \" Excellent/very good\", \"bbox\": [8, 296, 74, 306]}, {\"cell\": \"Reference\", \"bbox\": [201, 296, 235, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Reference\", \"bbox\": [362, 296, 396, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"WHO-5 well-being index (per 10 points increase)\", \"bbox\": [1, 310, 159, 320]}, {\"cell\": \"0.96 (0.89, 1.03)\", \"bbox\": [201, 310, 252, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 310, 309, 320]}, {\"cell\": \"0.96 (0.85, 1.09)\", \"bbox\": [362, 310, 413, 320]}, {\"cell\": \"0.57\", \"bbox\": [459, 310, 474, 320]}, {\"cell\": \"PSS score (per 1 point increase)\", \"bbox\": [1, 324, 104, 334]}, {\"cell\": \"1.07 (1.02, 1.12)\", \"bbox\": [201, 324, 252, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 324, 313, 334]}, {\"cell\": \"0.97 (0.89, 1.05)\", \"bbox\": [362, 324, 413, 334]}, {\"cell\": \"0.46\", \"bbox\": [459, 324, 474, 334]}, {\"cell\": \"ID-Screen (per 1 point increase)\", \"bbox\": [1, 338, 104, 348]}, {\"cell\": \"1.03 (0.99, 1.07)\", \"bbox\": [201, 338, 252, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 338, 309, 348]}, {\"cell\": \"1.01 (0.95, 1.08)\", \"bbox\": [362, 338, 413, 348]}, {\"cell\": \"0.73\", \"bbox\": [459, 338, 474, 348]}, {\"cell\": \"Time between invitation and returnof the filled informed consent form (per week)\", \"bbox\": [1, 352, 152, 371]}, {\"cell\": \"1.1 (1.04, 1.17)\", \"bbox\": [201, 352, 248, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 352, 318, 362]}, {\"cell\": \"0.98 (0.82, 1.16)\", \"bbox\": [362, 352, 413, 362]}, {\"cell\": \"0.78\", \"bbox\": [459, 352, 474, 362]}, {\"cell\": \"Had to be reminded to fill in the first online questionnaire (A)\", \"bbox\": [1, 375, 201, 385]}, {\"cell\": \" Yes\", \"bbox\": [8, 389, 21, 399]}, {\"cell\": \"1.85 (1.27, 2.7)\", \"bbox\": [201, 389, 248, 399]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 389, 313, 399]}, {\"cell\": \"0.82 (0.33, 2.05)\", \"bbox\": [362, 389, 413, 399]}, {\"cell\": \"0.68\", \"bbox\": [459, 389, 474, 399]}, {\"cell\": \" No\", \"bbox\": [8, 403, 20, 413]}, {\"cell\": \"Reference\", \"bbox\": [201, 403, 235, 413]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Reference\", \"bbox\": [362, 403, 396, 413]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5580321_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
SpotSwiss-Protprotein nameMeasured Mr/pITheor. Mr/pISequence coverage (%)Peptides sequencedScore
7305P4212627/6.3[EMPTY_CELL]1747–61 VLVEPDAGAGVAVMK103
[EMPTY_CELL]2,3-trans-Enoyl-CoA[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]191–200 DTLENTIGHR48.6
[EMPTY_CELL]Isomerase[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]271–283 DADVQNFVSFISK18
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]289–296 SLQMYLER20.4
5104P0720322/5.9[EMPTY_CELL]10147–155 LITWSPVC*R5.4
[EMPTY_CELL]Glutathione peroxidase 1[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]165–175 FLVGPDGVPLR12.1
1606P0674837/4.7[EMPTY_CELL]2633–45 VDNDENEHQLSLR53.6
[EMPTY_CELL]Nucleophosmin[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]55–73 DELHIVEAEAMNYEGSPIK37.5
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]81–101 MSVQPTVSLGGFEITPPVVLR65.8
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]238–246 GPSSVEDIK20
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]276–289 MTDQEAIQDLWQWR24.9
\", \"cells\": [{\"cell\": \"Spot\", \"bbox\": [6, 4, 23, 14]}, {\"cell\": \"Swiss-Protprotein name\", \"bbox\": [53, 4, 99, 23]}, {\"cell\": \"Measured Mr/pI\", \"bbox\": [129, 4, 184, 14]}, {\"cell\": \"Theor. Mr/pI\", \"bbox\": [193, 4, 238, 14]}, {\"cell\": \"Sequence coverage (%)\", \"bbox\": [248, 4, 327, 14]}, {\"cell\": \"Peptides sequenced\", \"bbox\": [368, 4, 436, 14]}, {\"cell\": \"Score\", \"bbox\": [476, 4, 497, 14]}, {\"cell\": \"7305\", \"bbox\": [5, 36, 24, 46]}, {\"cell\": \"P42126\", \"bbox\": [63, 36, 89, 46]}, {\"cell\": \"27/6.3\", \"bbox\": [145, 36, 168, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [207, 36, 224, 46]}, {\"cell\": \"17\", \"bbox\": [282, 36, 292, 46]}, {\"cell\": \"47–61 VLVEPDAGAGVAVMK\", \"bbox\": [350, 36, 454, 46]}, {\"cell\": \"103\", \"bbox\": [479, 36, 493, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2,3-trans-Enoyl-CoA\", \"bbox\": [40, 46, 111, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"191–200 DTLENTIGHR\", \"bbox\": [360, 46, 443, 56]}, {\"cell\": \"48.6\", \"bbox\": [478, 46, 494, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Isomerase\", \"bbox\": [58, 56, 94, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"271–283 DADVQNFVSFISK\", \"bbox\": [353, 56, 450, 66]}, {\"cell\": \"18\", \"bbox\": [481, 56, 491, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"289–296 SLQMYLER\", \"bbox\": [366, 67, 438, 76]}, {\"cell\": \"20.4\", \"bbox\": [478, 67, 494, 76]}, {\"cell\": \"5104\", \"bbox\": [5, 77, 24, 87]}, {\"cell\": \"P07203\", \"bbox\": [63, 77, 89, 87]}, {\"cell\": \"22/5.9\", \"bbox\": [145, 77, 168, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [204, 77, 227, 87]}, {\"cell\": \"10\", \"bbox\": [282, 77, 292, 87]}, {\"cell\": \"147–155 LITWSPVC*R\", \"bbox\": [362, 77, 442, 87]}, {\"cell\": \"5.4\", \"bbox\": [480, 77, 492, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Glutathione peroxidase 1\", \"bbox\": [32, 87, 119, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"165–175 FLVGPDGVPLR\", \"bbox\": [358, 87, 445, 97]}, {\"cell\": \"12.1\", \"bbox\": [478, 87, 494, 97]}, {\"cell\": \"1606\", \"bbox\": [5, 97, 24, 107]}, {\"cell\": \"P06748\", \"bbox\": [63, 97, 89, 107]}, {\"cell\": \"37/4.7\", \"bbox\": [145, 97, 168, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [204, 97, 227, 107]}, {\"cell\": \"26\", \"bbox\": [282, 97, 292, 107]}, {\"cell\": \"33–45 VDNDENEHQLSLR\", \"bbox\": [355, 97, 448, 107]}, {\"cell\": \"53.6\", \"bbox\": [478, 97, 494, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Nucleophosmin\", \"bbox\": [49, 108, 103, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"55–73 DELHIVEAEAMNYEGSPIK\", \"bbox\": [344, 108, 459, 117]}, {\"cell\": \"37.5\", \"bbox\": [478, 108, 494, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"81–101 MSVQPTVSLGGFEITPPVVLR\", \"bbox\": [338, 118, 466, 128]}, {\"cell\": \"65.8\", \"bbox\": [478, 118, 494, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"238–246 GPSSVEDIK\", \"bbox\": [365, 128, 439, 138]}, {\"cell\": \"20\", \"bbox\": [481, 128, 491, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"276–289 MTDQEAIQDLWQWR\", \"bbox\": [344, 138, 459, 148]}, {\"cell\": \"24.9\", \"bbox\": [478, 138, 494, 148]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2377273_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]No. of fracturesFracture IR (/1000 PY)Age/sex adjusted HR (95 % CI)Adjusted HR (95 % CI)b
Never-GLP1-ra usea844912.9[EMPTY_CELL]Reference
Current GLP1-ra use
By average DDD exposure (in exenatide equivalents)
0–15 mcg4816.9[EMPTY_CELL]1.03 (0.78–1.38)
16–20 mcg378.7[EMPTY_CELL]0.82 (0.59–1.13)
≥21 mcg2814.3[EMPTY_CELL]1.27 (0.88–1.85)
No dose99.8[EMPTY_CELL]0.90 (0.47–1.73)
By cumulative DDD exposure (in exenatide equivalents)
0–2.7 mg4111.3[EMPTY_CELL]1.02 (0.75–1.40)
2.8–5.4 mg249.4[EMPTY_CELL]0.89 (0.60–1.34)
5.5–8.2 mg179.9[EMPTY_CELL]0.94 (0.58–1.52)
≥8.3 mg4011.0[EMPTY_CELL]1.03 (0.75–1.41)
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No. of fractures\", \"bbox\": [93, 5, 150, 15]}, {\"cell\": \"Fracture IR (/1000 PY)\", \"bbox\": [170, 5, 253, 15]}, {\"cell\": \"Age/sex adjusted HR (95 % CI)\", \"bbox\": [273, 5, 387, 15]}, {\"cell\": \"Adjusted HR (95 % CI)b\", \"bbox\": [407, 3, 496, 15]}, {\"cell\": \"Never-GLP1-ra usea\", \"bbox\": [1, 22, 73, 34]}, {\"cell\": \"8449\", \"bbox\": [93, 24, 112, 34]}, {\"cell\": \"12.9\", \"bbox\": [170, 24, 187, 34]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [273, 24, 310, 34]}, {\"cell\": \"Reference\", \"bbox\": [407, 24, 444, 34]}, {\"cell\": \"Current GLP1-ra use\", \"bbox\": [1, 37, 75, 46]}, {\"cell\": \"By average DDD exposure (in exenatide equivalents)\", \"bbox\": [1, 49, 188, 59]}, {\"cell\": \" 0–15 mcg\", \"bbox\": [6, 62, 42, 72]}, {\"cell\": \"48\", \"bbox\": [93, 62, 103, 72]}, {\"cell\": \"16.9\", \"bbox\": [170, 62, 187, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [273, 62, 333, 72]}, {\"cell\": \"1.03 (0.78–1.38)\", \"bbox\": [407, 62, 466, 72]}, {\"cell\": \" 16–20 mcg\", \"bbox\": [6, 75, 47, 85]}, {\"cell\": \"37\", \"bbox\": [93, 75, 103, 85]}, {\"cell\": \"8.7\", \"bbox\": [170, 75, 183, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [273, 75, 333, 85]}, {\"cell\": \"0.82 (0.59–1.13)\", \"bbox\": [407, 75, 466, 85]}, {\"cell\": \" ≥21 mcg\", \"bbox\": [6, 88, 40, 97]}, {\"cell\": \"28\", \"bbox\": [93, 88, 103, 97]}, {\"cell\": \"14.3\", \"bbox\": [170, 88, 187, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [273, 88, 333, 97]}, {\"cell\": \"1.27 (0.88–1.85)\", \"bbox\": [407, 88, 466, 97]}, {\"cell\": \"No dose\", \"bbox\": [1, 100, 31, 110]}, {\"cell\": \"9\", \"bbox\": [93, 100, 99, 110]}, {\"cell\": \"9.8\", \"bbox\": [170, 100, 183, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [273, 100, 333, 110]}, {\"cell\": \"0.90 (0.47–1.73)\", \"bbox\": [407, 100, 466, 110]}, {\"cell\": \"By cumulative DDD exposure (in exenatide equivalents)\", \"bbox\": [1, 113, 200, 123]}, {\"cell\": \" 0–2.7 mg\", \"bbox\": [6, 126, 41, 136]}, {\"cell\": \"41\", \"bbox\": [93, 126, 103, 136]}, {\"cell\": \"11.3\", \"bbox\": [170, 126, 187, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [273, 126, 333, 136]}, {\"cell\": \"1.02 (0.75–1.40)\", \"bbox\": [407, 126, 466, 136]}, {\"cell\": \" 2.8–5.4 mg\", \"bbox\": [6, 139, 47, 148]}, {\"cell\": \"24\", \"bbox\": [93, 139, 103, 148]}, {\"cell\": \"9.4\", \"bbox\": [170, 139, 183, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [273, 139, 333, 148]}, {\"cell\": \"0.89 (0.60–1.34)\", \"bbox\": [407, 139, 466, 148]}, {\"cell\": \" 5.5–8.2 mg\", \"bbox\": [6, 151, 47, 161]}, {\"cell\": \"17\", \"bbox\": [93, 151, 103, 161]}, {\"cell\": \"9.9\", \"bbox\": [170, 151, 183, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [273, 151, 333, 161]}, {\"cell\": \"0.94 (0.58–1.52)\", \"bbox\": [407, 151, 466, 161]}, {\"cell\": \" ≥8.3 mg\", \"bbox\": [6, 164, 39, 174]}, {\"cell\": \"40\", \"bbox\": [93, 164, 103, 174]}, {\"cell\": \"11.0\", \"bbox\": [170, 164, 187, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [273, 164, 333, 174]}, {\"cell\": \"1.03 (0.75–1.41)\", \"bbox\": [407, 164, 466, 174]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4491344_006_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Mosquito speciesTotal collectedTotal Haemoproteus positive thoraxesHaemoproteus prevalenceTotal Plasmodium positive thoraxesPlasmodium positive thoraxes prevalenceTotal Plasmodium positive salivary glandsPlasmodium positive salivary glands PrevalenceTotal Plasmodium positive abdomensPlasmodium positive abdomens prevalence
Ae. sierrensis40000-[EMPTY_CELL]--
Ae. vexans32441.2 %000[EMPTY_CELL]00
Ae. washinoi90000-[EMPTY_CELL]--
An. freeborni8811.1 %000[EMPTY_CELL]00
An. punctipennis16810.6 %000[EMPTY_CELL]00
Cx. erythrothorax2970000-[EMPTY_CELL]--
Cx. pipiens complex55110.2 %30.5 %0[EMPTY_CELL]30.5 %
Cx. restuans16710.6 %31.8 %2[EMPTY_CELL]10.6 %
Cx. stigmatosoma69310.1 %537.6 %44[EMPTY_CELL]395.6 %
Cx. tarsalis46430.6 %153.2 %11[EMPTY_CELL]132.8 %
Cx. thriambus590000-[EMPTY_CELL]--
Cs. impatiens40000-[EMPTY_CELL]--
Cs. incidens70000-[EMPTY_CELL]--
Cs. inornata80000-[EMPTY_CELL]--
Cs. particeps24020.8 %20.8 %0[EMPTY_CELL]00
Total3083140.5 %762.4 %57[EMPTY_CELL]561.8 %
\", \"cells\": [{\"cell\": \"Mosquito species\", \"bbox\": [1, 4, 58, 13]}, {\"cell\": \"Total collected\", \"bbox\": [70, 4, 101, 22]}, {\"cell\": \"Total Haemoproteus positive thoraxes\", \"bbox\": [107, 4, 172, 22]}, {\"cell\": \"Haemoproteus prevalence\", \"bbox\": [178, 4, 225, 22]}, {\"cell\": \"Total Plasmodium positive thoraxes\", \"bbox\": [230, 4, 288, 22]}, {\"cell\": \"Plasmodium positive thoraxes prevalence\", \"bbox\": [294, 4, 361, 22]}, {\"cell\": \"Total Plasmodium positive salivary glands\", \"bbox\": [367, 4, 425, 31]}, {\"cell\": \"Plasmodium positive salivary glands Prevalence\", \"bbox\": [431, 4, 498, 31]}, {\"cell\": \"Total Plasmodium positive abdomens\", \"bbox\": [504, 4, 567, 22]}, {\"cell\": \"Plasmodium positive abdomens prevalence\", \"bbox\": [572, 4, 645, 22]}, {\"cell\": \"Ae. sierrensis\", \"bbox\": [1, 35, 40, 45]}, {\"cell\": \"4\", \"bbox\": [70, 35, 76, 45]}, {\"cell\": \"0\", \"bbox\": [107, 35, 113, 45]}, {\"cell\": \"0\", \"bbox\": [178, 35, 183, 45]}, {\"cell\": \"0\", \"bbox\": [230, 35, 236, 45]}, {\"cell\": \"0\", \"bbox\": [294, 35, 300, 45]}, {\"cell\": \"-\", \"bbox\": [367, 35, 371, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 35, 435, 45]}, {\"cell\": \"-\", \"bbox\": [504, 35, 508, 45]}, {\"cell\": \"-\", \"bbox\": [572, 35, 577, 45]}, {\"cell\": \"Ae. vexans\", \"bbox\": [1, 49, 35, 59]}, {\"cell\": \"324\", \"bbox\": [70, 49, 84, 59]}, {\"cell\": \"4\", \"bbox\": [107, 49, 113, 59]}, {\"cell\": \"1.2 %\", \"bbox\": [178, 49, 197, 59]}, {\"cell\": \"0\", \"bbox\": [230, 49, 236, 59]}, {\"cell\": \"0\", \"bbox\": [294, 49, 300, 59]}, {\"cell\": \"0\", \"bbox\": [367, 49, 373, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 49, 437, 59]}, {\"cell\": \"0\", \"bbox\": [504, 49, 510, 59]}, {\"cell\": \"0\", \"bbox\": [572, 49, 578, 59]}, {\"cell\": \"Ae. washinoi\", \"bbox\": [1, 63, 41, 73]}, {\"cell\": \"9\", \"bbox\": [70, 63, 76, 73]}, {\"cell\": \"0\", \"bbox\": [107, 63, 113, 73]}, {\"cell\": \"0\", \"bbox\": [178, 63, 183, 73]}, {\"cell\": \"0\", \"bbox\": [230, 63, 236, 73]}, {\"cell\": \"0\", \"bbox\": [294, 63, 300, 73]}, {\"cell\": \"-\", \"bbox\": [367, 63, 371, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 63, 435, 73]}, {\"cell\": \"-\", \"bbox\": [504, 63, 508, 73]}, {\"cell\": \"-\", \"bbox\": [572, 63, 577, 73]}, {\"cell\": \"An. freeborni\", \"bbox\": [1, 77, 41, 87]}, {\"cell\": \"88\", \"bbox\": [70, 77, 80, 87]}, {\"cell\": \"1\", \"bbox\": [107, 77, 113, 87]}, {\"cell\": \"1.1 %\", \"bbox\": [178, 77, 197, 87]}, {\"cell\": \"0\", \"bbox\": [230, 77, 236, 87]}, {\"cell\": \"0\", \"bbox\": [294, 77, 300, 87]}, {\"cell\": \"0\", \"bbox\": [367, 77, 373, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 77, 437, 87]}, {\"cell\": \"0\", \"bbox\": [504, 77, 510, 87]}, {\"cell\": \"0\", \"bbox\": [572, 77, 578, 87]}, {\"cell\": \"An. punctipennis\", \"bbox\": [1, 91, 54, 101]}, {\"cell\": \"168\", \"bbox\": [70, 91, 84, 101]}, {\"cell\": \"1\", \"bbox\": [107, 91, 113, 101]}, {\"cell\": \"0.6 %\", \"bbox\": [178, 91, 197, 101]}, {\"cell\": \"0\", \"bbox\": [230, 91, 236, 101]}, {\"cell\": \"0\", \"bbox\": [294, 91, 300, 101]}, {\"cell\": \"0\", \"bbox\": [367, 91, 373, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 91, 437, 101]}, {\"cell\": \"0\", \"bbox\": [504, 91, 510, 101]}, {\"cell\": \"0\", \"bbox\": [572, 91, 578, 101]}, {\"cell\": \"Cx. erythrothorax\", \"bbox\": [1, 105, 55, 115]}, {\"cell\": \"297\", \"bbox\": [70, 105, 84, 115]}, {\"cell\": \"0\", \"bbox\": [107, 105, 113, 115]}, {\"cell\": \"0\", \"bbox\": [178, 105, 183, 115]}, {\"cell\": \"0\", \"bbox\": [230, 105, 236, 115]}, {\"cell\": \"0\", \"bbox\": [294, 105, 300, 115]}, {\"cell\": \"-\", \"bbox\": [367, 105, 371, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 105, 435, 115]}, {\"cell\": \"-\", \"bbox\": [504, 105, 508, 115]}, {\"cell\": \"-\", \"bbox\": [572, 105, 577, 115]}, {\"cell\": \"Cx. pipiens complex\", \"bbox\": [1, 119, 65, 129]}, {\"cell\": \"551\", \"bbox\": [70, 119, 84, 129]}, {\"cell\": \"1\", \"bbox\": [107, 119, 113, 129]}, {\"cell\": \"0.2 %\", \"bbox\": [178, 119, 197, 129]}, {\"cell\": \"3\", \"bbox\": [230, 119, 236, 129]}, {\"cell\": \"0.5 %\", \"bbox\": [294, 119, 313, 129]}, {\"cell\": \"0\", \"bbox\": [367, 119, 373, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 119, 437, 129]}, {\"cell\": \"3\", \"bbox\": [504, 119, 510, 129]}, {\"cell\": \"0.5 %\", \"bbox\": [572, 119, 592, 129]}, {\"cell\": \"Cx. restuans\", \"bbox\": [1, 133, 39, 143]}, {\"cell\": \"167\", \"bbox\": [70, 133, 84, 143]}, {\"cell\": \"1\", \"bbox\": [107, 133, 113, 143]}, {\"cell\": \"0.6 %\", \"bbox\": [178, 133, 197, 143]}, {\"cell\": \"3\", \"bbox\": [230, 133, 236, 143]}, {\"cell\": \"1.8 %\", \"bbox\": [294, 133, 313, 143]}, {\"cell\": \"2\", \"bbox\": [367, 133, 373, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 133, 450, 143]}, {\"cell\": \"1\", \"bbox\": [504, 133, 510, 143]}, {\"cell\": \"0.6 %\", \"bbox\": [572, 133, 592, 143]}, {\"cell\": \"Cx. stigmatosoma\", \"bbox\": [1, 147, 58, 157]}, {\"cell\": \"693\", \"bbox\": [70, 147, 84, 157]}, {\"cell\": \"1\", \"bbox\": [107, 147, 113, 157]}, {\"cell\": \"0.1 %\", \"bbox\": [178, 147, 197, 157]}, {\"cell\": \"53\", \"bbox\": [230, 147, 240, 157]}, {\"cell\": \"7.6 %\", \"bbox\": [294, 147, 313, 157]}, {\"cell\": \"44\", \"bbox\": [367, 147, 377, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 147, 450, 157]}, {\"cell\": \"39\", \"bbox\": [504, 147, 513, 157]}, {\"cell\": \"5.6 %\", \"bbox\": [572, 147, 592, 157]}, {\"cell\": \"Cx. tarsalis\", \"bbox\": [1, 161, 35, 171]}, {\"cell\": \"464\", \"bbox\": [70, 161, 84, 171]}, {\"cell\": \"3\", \"bbox\": [107, 161, 113, 171]}, {\"cell\": \"0.6 %\", \"bbox\": [178, 161, 197, 171]}, {\"cell\": \"15\", \"bbox\": [230, 161, 240, 171]}, {\"cell\": \"3.2 %\", \"bbox\": [294, 161, 313, 171]}, {\"cell\": \"11\", \"bbox\": [367, 161, 377, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 161, 450, 171]}, {\"cell\": \"13\", \"bbox\": [504, 161, 513, 171]}, {\"cell\": \"2.8 %\", \"bbox\": [572, 161, 592, 171]}, {\"cell\": \"Cx. thriambus\", \"bbox\": [1, 175, 45, 185]}, {\"cell\": \"59\", \"bbox\": [70, 175, 80, 185]}, {\"cell\": \"0\", \"bbox\": [107, 175, 113, 185]}, {\"cell\": \"0\", \"bbox\": [178, 175, 183, 185]}, {\"cell\": \"0\", \"bbox\": [230, 175, 236, 185]}, {\"cell\": \"0\", \"bbox\": [294, 175, 300, 185]}, {\"cell\": \"-\", \"bbox\": [367, 175, 371, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 175, 435, 185]}, {\"cell\": \"-\", \"bbox\": [504, 175, 508, 185]}, {\"cell\": \"-\", \"bbox\": [572, 175, 577, 185]}, {\"cell\": \"Cs. impatiens\", \"bbox\": [1, 189, 43, 199]}, {\"cell\": \"4\", \"bbox\": [70, 189, 76, 199]}, {\"cell\": \"0\", \"bbox\": [107, 189, 113, 199]}, {\"cell\": \"0\", \"bbox\": [178, 189, 183, 199]}, {\"cell\": \"0\", \"bbox\": [230, 189, 236, 199]}, {\"cell\": \"0\", \"bbox\": [294, 189, 300, 199]}, {\"cell\": \"-\", \"bbox\": [367, 189, 371, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 189, 435, 199]}, {\"cell\": \"-\", \"bbox\": [504, 189, 508, 199]}, {\"cell\": \"-\", \"bbox\": [572, 189, 577, 199]}, {\"cell\": \"Cs. incidens\", \"bbox\": [1, 203, 38, 213]}, {\"cell\": \"7\", \"bbox\": [70, 203, 76, 213]}, {\"cell\": \"0\", \"bbox\": [107, 203, 113, 213]}, {\"cell\": \"0\", \"bbox\": [178, 203, 183, 213]}, {\"cell\": \"0\", \"bbox\": [230, 203, 236, 213]}, {\"cell\": \"0\", \"bbox\": [294, 203, 300, 213]}, {\"cell\": \"-\", \"bbox\": [367, 203, 371, 213]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 203, 435, 213]}, {\"cell\": \"-\", \"bbox\": [504, 203, 508, 213]}, {\"cell\": \"-\", \"bbox\": [572, 203, 577, 213]}, {\"cell\": \"Cs. inornata\", \"bbox\": [1, 217, 40, 227]}, {\"cell\": \"8\", \"bbox\": [70, 217, 76, 227]}, {\"cell\": \"0\", \"bbox\": [107, 217, 113, 227]}, {\"cell\": \"0\", \"bbox\": [178, 217, 183, 227]}, {\"cell\": \"0\", \"bbox\": [230, 217, 236, 227]}, {\"cell\": \"0\", \"bbox\": [294, 217, 300, 227]}, {\"cell\": \"-\", \"bbox\": [367, 217, 371, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 217, 435, 227]}, {\"cell\": \"-\", \"bbox\": [504, 217, 508, 227]}, {\"cell\": \"-\", \"bbox\": [572, 217, 577, 227]}, {\"cell\": \"Cs. particeps\", \"bbox\": [1, 231, 41, 241]}, {\"cell\": \"240\", \"bbox\": [70, 231, 84, 241]}, {\"cell\": \"2\", \"bbox\": [107, 231, 113, 241]}, {\"cell\": \"0.8 %\", \"bbox\": [178, 231, 197, 241]}, {\"cell\": \"2\", \"bbox\": [230, 231, 236, 241]}, {\"cell\": \"0.8 %\", \"bbox\": [294, 231, 313, 241]}, {\"cell\": \"0\", \"bbox\": [367, 231, 373, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 231, 437, 241]}, {\"cell\": \"0\", \"bbox\": [504, 231, 510, 241]}, {\"cell\": \"0\", \"bbox\": [572, 231, 578, 241]}, {\"cell\": \"Total\", \"bbox\": [1, 245, 18, 255]}, {\"cell\": \"3083\", \"bbox\": [70, 245, 88, 255]}, {\"cell\": \"14\", \"bbox\": [107, 245, 117, 255]}, {\"cell\": \"0.5 %\", \"bbox\": [178, 245, 197, 255]}, {\"cell\": \"76\", \"bbox\": [230, 245, 240, 255]}, {\"cell\": \"2.4 %\", \"bbox\": [294, 245, 313, 255]}, {\"cell\": \"57\", \"bbox\": [367, 245, 377, 255]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 245, 450, 255]}, {\"cell\": \"56\", \"bbox\": [504, 245, 513, 255]}, {\"cell\": \"1.8 %\", \"bbox\": [572, 245, 592, 255]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4702297_009_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
FactorsRH useCOR [95% C.I], P-valueAOR [95% C.I]
YesNo
Had history sexual intercourseYes[EMPTY_CELL]174.79 (2.77-8.28), 0.005.99 (2.60-13.81)*
No245[EMPTY_CELL]1.001.00
Know any modern contraceptiveYes[EMPTY_CELL]882.88 (1.64-5.08), 0.003.55 (1.26-9.99)*
No38[EMPTY_CELL]1.00100
Ever discussed on modern contraceptivesYes[EMPTY_CELL]592.53 (1.65-3.88), 0.00-
No118[EMPTY_CELL]1.00-
Discussion on family planning with partnerYes[EMPTY_CELL]142.40 (1.27-4.54), 0.001.37 (0.64-2.91)
No193[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Discussion on family planning with health professionYes[EMPTY_CELL]63.32 (1.38-7.98), 0.0072.90 (1.06-7.96)*
No245[EMPTY_CELL]1.001.00
Had STI diagnosis and treatment service informationYes[EMPTY_CELL]912.36 (1.31-4.23), 0.004-
No39[EMPTY_CELL]1.00-
Health profession as STI diagnosis & treatment service information sourceYes[EMPTY_CELL]401.69 (1.07-2.66), 0.0251.13 (0.57-2.21)
No180[EMPTY_CELL]1.001.00
Discussed about STIYes[EMPTY_CELL]521.86 (1.23-2.83), 0.0041.18 (0.58-2.42)
No173[EMPTY_CELL]1.001.00
Heard VCT serviceYes[EMPTY_CELL]1012.91 (1.27-6.67), 0.0120.78 (0.14-4.40)
No15[EMPTY_CELL]1.001.00
Discussed on VCTYes[EMPTY_CELL]597.02 (4.37-11.26), 0.0003.76 (1.55-9.11)*
No51[EMPTY_CELL]1.001.00
Experienced STI syndromeYes[EMPTY_CELL]132.56 (1.39-4.75), 0.0031.54 (0.67-3.51)
No341[EMPTY_CELL]1.001.00
Class yearI[EMPTY_CELL]521.001.00
II174[EMPTY_CELL]0.40 (0.24-0.67), 0.0000.30 (0.13-0.70)*
III124[EMPTY_CELL]0.54 (0.32-0.91), 0.0210.56 (0.25-1.24)
IV+26[EMPTY_CELL]0.59 (0.23-0.1.52), 0.231.08 (0.31-3.78)
\", \"cells\": [{\"cell\": \"Factors\", \"bbox\": [1, 4, 27, 13]}, {\"cell\": \"RH use\", \"bbox\": [244, 4, 270, 13]}, {\"cell\": \"COR [95% C.I], P-value\", \"bbox\": [327, 4, 379, 22]}, {\"cell\": \"AOR [95% C.I]\", \"bbox\": [428, 4, 479, 13]}, {\"cell\": \"Yes\", \"bbox\": [244, 17, 258, 26]}, {\"cell\": \"No\", \"bbox\": [286, 17, 297, 26]}, {\"cell\": \"Had history sexual intercourse\", \"bbox\": [0, 30, 99, 40]}, {\"cell\": \"Yes\", \"bbox\": [203, 30, 216, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 30, 257, 40]}, {\"cell\": \"17\", \"bbox\": [286, 30, 295, 40]}, {\"cell\": \"4.79 (2.77-8.28), 0.00\", \"bbox\": [327, 30, 393, 40]}, {\"cell\": \"5.99 (2.60-13.81)*\", \"bbox\": [428, 30, 484, 40]}, {\"cell\": \"No\", \"bbox\": [203, 44, 215, 54]}, {\"cell\": \"245\", \"bbox\": [244, 44, 257, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [286, 44, 295, 54]}, {\"cell\": \"1.00\", \"bbox\": [327, 44, 342, 54]}, {\"cell\": \"1.00\", \"bbox\": [428, 44, 443, 54]}, {\"cell\": \"Know any modern contraceptive\", \"bbox\": [0, 58, 108, 68]}, {\"cell\": \"Yes\", \"bbox\": [203, 58, 216, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 58, 257, 68]}, {\"cell\": \"88\", \"bbox\": [286, 58, 295, 68]}, {\"cell\": \"2.88 (1.64-5.08), 0.00\", \"bbox\": [327, 58, 393, 68]}, {\"cell\": \"3.55 (1.26-9.99)*\", \"bbox\": [428, 58, 481, 68]}, {\"cell\": \"No\", \"bbox\": [203, 72, 215, 82]}, {\"cell\": \"38\", \"bbox\": [244, 72, 254, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [286, 72, 295, 82]}, {\"cell\": \"1.00\", \"bbox\": [327, 72, 342, 82]}, {\"cell\": \"100\", \"bbox\": [428, 72, 442, 82]}, {\"cell\": \"Ever discussed on modern contraceptives\", \"bbox\": [0, 86, 136, 96]}, {\"cell\": \"Yes\", \"bbox\": [203, 86, 216, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 86, 257, 96]}, {\"cell\": \"59\", \"bbox\": [286, 86, 295, 96]}, {\"cell\": \"2.53 (1.65-3.88), 0.00\", \"bbox\": [327, 86, 393, 96]}, {\"cell\": \"-\", \"bbox\": [428, 86, 433, 96]}, {\"cell\": \"No\", \"bbox\": [203, 100, 215, 110]}, {\"cell\": \"118\", \"bbox\": [244, 100, 257, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [286, 100, 295, 110]}, {\"cell\": \"1.00\", \"bbox\": [327, 100, 342, 110]}, {\"cell\": \"-\", \"bbox\": [428, 100, 433, 110]}, {\"cell\": \"Discussion on family planning with partner\", \"bbox\": [0, 114, 140, 124]}, {\"cell\": \"Yes\", \"bbox\": [203, 114, 216, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 114, 257, 124]}, {\"cell\": \"14\", \"bbox\": [286, 114, 295, 124]}, {\"cell\": \"2.40 (1.27-4.54), 0.00\", \"bbox\": [327, 114, 393, 124]}, {\"cell\": \"1.37 (0.64-2.91)\", \"bbox\": [428, 114, 477, 124]}, {\"cell\": \"No\", \"bbox\": [203, 128, 215, 138]}, {\"cell\": \"193\", \"bbox\": [244, 128, 257, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [286, 128, 295, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Discussion on family planning with health profession\", \"bbox\": [0, 142, 173, 152]}, {\"cell\": \"Yes\", \"bbox\": [203, 142, 216, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 142, 254, 152]}, {\"cell\": \"6\", \"bbox\": [286, 142, 291, 152]}, {\"cell\": \"3.32 (1.38-7.98), 0.007\", \"bbox\": [327, 142, 397, 152]}, {\"cell\": \"2.90 (1.06-7.96)*\", \"bbox\": [428, 142, 481, 152]}, {\"cell\": \"No\", \"bbox\": [203, 156, 215, 166]}, {\"cell\": \"245\", \"bbox\": [244, 156, 257, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [286, 156, 295, 166]}, {\"cell\": \"1.00\", \"bbox\": [327, 156, 342, 166]}, {\"cell\": \"1.00\", \"bbox\": [428, 156, 443, 166]}, {\"cell\": \"Had STI diagnosis and treatment service information\", \"bbox\": [0, 170, 171, 180]}, {\"cell\": \"Yes\", \"bbox\": [203, 170, 216, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 170, 257, 180]}, {\"cell\": \"91\", \"bbox\": [286, 170, 295, 180]}, {\"cell\": \"2.36 (1.31-4.23), 0.004\", \"bbox\": [327, 170, 397, 180]}, {\"cell\": \"-\", \"bbox\": [428, 170, 433, 180]}, {\"cell\": \"No\", \"bbox\": [203, 184, 215, 194]}, {\"cell\": \"39\", \"bbox\": [244, 184, 254, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [286, 184, 295, 194]}, {\"cell\": \"1.00\", \"bbox\": [327, 184, 342, 194]}, {\"cell\": \"-\", \"bbox\": [428, 184, 433, 194]}, {\"cell\": \"Health profession as STI diagnosis & treatment service information source\", \"bbox\": [0, 198, 176, 217]}, {\"cell\": \"Yes\", \"bbox\": [203, 198, 216, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 198, 257, 208]}, {\"cell\": \"40\", \"bbox\": [286, 198, 295, 208]}, {\"cell\": \"1.69 (1.07-2.66), 0.025\", \"bbox\": [327, 198, 397, 208]}, {\"cell\": \"1.13 (0.57-2.21)\", \"bbox\": [428, 198, 477, 208]}, {\"cell\": \"No\", \"bbox\": [203, 212, 215, 222]}, {\"cell\": \"180\", \"bbox\": [244, 212, 257, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [286, 212, 295, 222]}, {\"cell\": \"1.00\", \"bbox\": [327, 212, 342, 222]}, {\"cell\": \"1.00\", \"bbox\": [428, 212, 443, 222]}, {\"cell\": \"Discussed about STI\", \"bbox\": [0, 226, 66, 236]}, {\"cell\": \"Yes\", \"bbox\": [203, 226, 216, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 226, 257, 236]}, {\"cell\": \"52\", \"bbox\": [286, 226, 295, 236]}, {\"cell\": \"1.86 (1.23-2.83), 0.004\", \"bbox\": [327, 226, 397, 236]}, {\"cell\": \"1.18 (0.58-2.42)\", \"bbox\": [428, 226, 477, 236]}, {\"cell\": \"No\", \"bbox\": [203, 240, 215, 250]}, {\"cell\": \"173\", \"bbox\": [244, 240, 257, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [286, 240, 295, 250]}, {\"cell\": \"1.00\", \"bbox\": [327, 240, 342, 250]}, {\"cell\": \"1.00\", \"bbox\": [428, 240, 443, 250]}, {\"cell\": \"Heard VCT service\", \"bbox\": [1, 254, 60, 264]}, {\"cell\": \"Yes\", \"bbox\": [203, 254, 216, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 254, 257, 264]}, {\"cell\": \"101\", \"bbox\": [286, 254, 299, 264]}, {\"cell\": \"2.91 (1.27-6.67), 0.012\", \"bbox\": [327, 254, 397, 264]}, {\"cell\": \"0.78 (0.14-4.40)\", \"bbox\": [428, 254, 477, 264]}, {\"cell\": \"No\", \"bbox\": [203, 268, 215, 278]}, {\"cell\": \"15\", \"bbox\": [244, 268, 254, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [286, 268, 295, 278]}, {\"cell\": \"1.00\", \"bbox\": [327, 268, 342, 278]}, {\"cell\": \"1.00\", \"bbox\": [428, 268, 443, 278]}, {\"cell\": \"Discussed on VCT\", \"bbox\": [1, 282, 59, 292]}, {\"cell\": \"Yes\", \"bbox\": [203, 282, 216, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 282, 257, 292]}, {\"cell\": \"59\", \"bbox\": [286, 282, 295, 292]}, {\"cell\": \"7.02 (4.37-11.26), 0.000\", \"bbox\": [327, 282, 400, 292]}, {\"cell\": \"3.76 (1.55-9.11)*\", \"bbox\": [428, 282, 481, 292]}, {\"cell\": \"No\", \"bbox\": [203, 296, 215, 306]}, {\"cell\": \"51\", \"bbox\": [244, 296, 254, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [286, 296, 295, 306]}, {\"cell\": \"1.00\", \"bbox\": [327, 296, 342, 306]}, {\"cell\": \"1.00\", \"bbox\": [428, 296, 443, 306]}, {\"cell\": \"Experienced STI syndrome\", \"bbox\": [1, 310, 87, 320]}, {\"cell\": \"Yes\", \"bbox\": [203, 310, 216, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 310, 257, 320]}, {\"cell\": \"13\", \"bbox\": [286, 310, 295, 320]}, {\"cell\": \"2.56 (1.39-4.75), 0.003\", \"bbox\": [327, 310, 397, 320]}, {\"cell\": \"1.54 (0.67-3.51)\", \"bbox\": [428, 310, 477, 320]}, {\"cell\": \"No\", \"bbox\": [203, 324, 215, 334]}, {\"cell\": \"341\", \"bbox\": [244, 324, 257, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [286, 324, 295, 334]}, {\"cell\": \"1.00\", \"bbox\": [327, 324, 342, 334]}, {\"cell\": \"1.00\", \"bbox\": [428, 324, 443, 334]}, {\"cell\": \"Class year\", \"bbox\": [1, 338, 34, 348]}, {\"cell\": \"I\", \"bbox\": [203, 338, 207, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 338, 257, 348]}, {\"cell\": \"52\", \"bbox\": [286, 338, 295, 348]}, {\"cell\": \"1.00\", \"bbox\": [327, 338, 342, 348]}, {\"cell\": \"1.00\", \"bbox\": [428, 338, 443, 348]}, {\"cell\": \"II\", \"bbox\": [203, 352, 209, 362]}, {\"cell\": \"174\", \"bbox\": [244, 352, 257, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [286, 352, 295, 362]}, {\"cell\": \"0.40 (0.24-0.67), 0.000\", \"bbox\": [327, 352, 397, 362]}, {\"cell\": \"0.30 (0.13-0.70)*\", \"bbox\": [428, 352, 481, 362]}, {\"cell\": \"III\", \"bbox\": [203, 366, 210, 376]}, {\"cell\": \"124\", \"bbox\": [244, 366, 257, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [286, 366, 295, 376]}, {\"cell\": \"0.54 (0.32-0.91), 0.021\", \"bbox\": [327, 366, 397, 376]}, {\"cell\": \"0.56 (0.25-1.24)\", \"bbox\": [428, 366, 477, 376]}, {\"cell\": \"IV+\", \"bbox\": [203, 380, 216, 390]}, {\"cell\": \"26\", \"bbox\": [244, 380, 254, 390]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [286, 380, 291, 390]}, {\"cell\": \"0.59 (0.23-0.1.52), 0.23\", \"bbox\": [327, 380, 398, 390]}, {\"cell\": \"1.08 (0.31-3.78)\", \"bbox\": [428, 380, 477, 390]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4304627_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
StrainsGenotype or descriptionReference
Escherichia coli[EMPTY_CELL][EMPTY_CELL]
MG1655[EMPTY_CELL]Laboratory collection
DH5α[EMPTY_CELL]Laboratory collection
β2163[EMPTY_CELL]Demarre et al., 2005
Buttiauxella spp.[EMPTY_CELL][EMPTY_CELL]
B. agrestis CUETM77-167[EMPTY_CELL]BRC-JCM RIKEN/DSMZ
B. brennerae S1/6-571[EMPTY_CELL]DSMZ
B. ferragutiae CDC1180-81[EMPTY_CELL]DSMZ
B. noackiae NSW11[EMPTY_CELL]DSMZ
B. izardii S32-161[EMPTY_CELL]DSMZ
B. warmboldiae NSW326[EMPTY_CELL]DSMZ
B. gaviniae S1/1-984[EMPTY_CELL]DSMZ
Other strains[EMPTY_CELL][EMPTY_CELL]
Pseudomonas aeruginosa PAO1[EMPTY_CELL]Holloway et al., 1979
Corynebacterium glutamicum AJ224[EMPTY_CELL]BRC-JCM RIKEN
Micrococcus luteus JCM 1464[EMPTY_CELL]BRC-JCM RIKEN
Bacillus subtilis C1[EMPTY_CELL]BRC-JCM RIKEN
Flavobacterium johnsoniae JCM 8514[EMPTY_CELL]BRC-JCM RIKEN
Rhizobium halotolerans JCM 17536[EMPTY_CELL]BRC-JCM RIKEN
Rhizobium soli DS-42[EMPTY_CELL]BRC-JCM RIKEN
Hydrogenophaga pseudoflava GA3[EMPTY_CELL]BRC-JCM RIKEN
Erwinia persicina HK204[EMPTY_CELL]BRC-JCM RIKEN
Pseudomonas alcaligenes JCM 20561[EMPTY_CELL]BRC-JCM RIKEN
Plasmid[EMPTY_CELL][EMPTY_CELL]
pBBR1MCS-1[EMPTY_CELL]Kovach et al., 1995
Primers[EMPTY_CELL][EMPTY_CELL]
CamR-f[EMPTY_CELL]This study
CamR-r[EMPTY_CELL]This study
\", \"cells\": [{\"cell\": \"Strains\", \"bbox\": [1, 6, 26, 15]}, {\"cell\": \"Genotype or description\", \"bbox\": [131, 6, 213, 15]}, {\"cell\": \"Reference\", \"bbox\": [432, 6, 468, 15]}, {\"cell\": \"Escherichia coli\", \"bbox\": [1, 24, 55, 31]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"MG1655\", \"bbox\": [1, 35, 29, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 35, 200, 43]}, {\"cell\": \"Laboratory collection\", \"bbox\": [432, 35, 497, 43]}, {\"cell\": \"DH5α\", \"bbox\": [1, 46, 20, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 45, 419, 64]}, {\"cell\": \"Laboratory collection\", \"bbox\": [432, 46, 497, 55]}, {\"cell\": \"β2163\", \"bbox\": [0, 67, 22, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 66, 267, 75]}, {\"cell\": \"Demarre et al., 2005\", \"bbox\": [432, 67, 495, 75]}, {\"cell\": \"Buttiauxella spp.\", \"bbox\": [1, 78, 59, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"B. agrestis CUETM77-167\", \"bbox\": [1, 90, 82, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 90, 202, 98]}, {\"cell\": \"BRC-JCM RIKEN/DSMZ\", \"bbox\": [432, 90, 508, 98]}, {\"cell\": \"B. brennerae S1/6-571\", \"bbox\": [0, 101, 72, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 101, 165, 110]}, {\"cell\": \"DSMZ\", \"bbox\": [432, 101, 453, 110]}, {\"cell\": \"B. ferragutiae CDC1180-81\", \"bbox\": [0, 112, 85, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 112, 165, 121]}, {\"cell\": \"DSMZ\", \"bbox\": [432, 112, 453, 121]}, {\"cell\": \"B. noackiae NSW11\", \"bbox\": [0, 124, 63, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 124, 165, 132]}, {\"cell\": \"DSMZ\", \"bbox\": [432, 124, 453, 132]}, {\"cell\": \"B. izardii S32-161\", \"bbox\": [0, 135, 56, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 135, 165, 144]}, {\"cell\": \"DSMZ\", \"bbox\": [432, 135, 453, 144]}, {\"cell\": \"B. warmboldiae NSW326\", \"bbox\": [0, 146, 79, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 146, 165, 155]}, {\"cell\": \"DSMZ\", \"bbox\": [432, 146, 453, 155]}, {\"cell\": \"B. gaviniae S1/1-984\", \"bbox\": [0, 158, 66, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 158, 165, 166]}, {\"cell\": \"DSMZ\", \"bbox\": [432, 158, 453, 166]}, {\"cell\": \"Other strains\", \"bbox\": [0, 169, 46, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Pseudomonas aeruginosa PAO1\", \"bbox\": [0, 181, 100, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 181, 165, 189]}, {\"cell\": \"Holloway et al., 1979\", \"bbox\": [432, 181, 497, 189]}, {\"cell\": \"Corynebacterium glutamicum AJ224\", \"bbox\": [1, 192, 113, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 192, 164, 200]}, {\"cell\": \"BRC-JCM RIKEN\", \"bbox\": [432, 192, 487, 200]}, {\"cell\": \"Micrococcus luteus JCM 1464\", \"bbox\": [1, 203, 95, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 203, 164, 212]}, {\"cell\": \"BRC-JCM RIKEN\", \"bbox\": [432, 203, 487, 212]}, {\"cell\": \"Bacillus subtilis C1\", \"bbox\": [0, 215, 59, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 215, 164, 223]}, {\"cell\": \"BRC-JCM RIKEN\", \"bbox\": [432, 215, 487, 223]}, {\"cell\": \"Flavobacterium johnsoniae JCM 8514\", \"bbox\": [0, 226, 116, 234]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 226, 164, 234]}, {\"cell\": \"BRC-JCM RIKEN\", \"bbox\": [432, 226, 487, 234]}, {\"cell\": \"Rhizobium halotolerans JCM 17536\", \"bbox\": [0, 237, 110, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 237, 168, 246]}, {\"cell\": \"BRC-JCM RIKEN\", \"bbox\": [432, 237, 487, 246]}, {\"cell\": \"Rhizobium soli DS-42\", \"bbox\": [0, 249, 67, 257]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 249, 168, 257]}, {\"cell\": \"BRC-JCM RIKEN\", \"bbox\": [432, 249, 487, 257]}, {\"cell\": \"Hydrogenophaga pseudoflava GA3\", \"bbox\": [0, 260, 109, 269]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 260, 168, 269]}, {\"cell\": \"BRC-JCM RIKEN\", \"bbox\": [432, 260, 487, 269]}, {\"cell\": \"Erwinia persicina HK204\", \"bbox\": [0, 271, 76, 280]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 271, 164, 280]}, {\"cell\": \"BRC-JCM RIKEN\", \"bbox\": [432, 271, 487, 280]}, {\"cell\": \"Pseudomonas alcaligenes JCM 20561\", \"bbox\": [0, 283, 119, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 283, 168, 291]}, {\"cell\": \"BRC-JCM RIKEN\", \"bbox\": [432, 283, 487, 291]}, {\"cell\": \"Plasmid\", \"bbox\": [0, 294, 29, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"pBBR1MCS-1\", \"bbox\": [0, 305, 46, 314]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 304, 270, 314]}, {\"cell\": \"Kovach et al., 1995\", \"bbox\": [432, 305, 492, 314]}, {\"cell\": \"Primers\", \"bbox\": [1, 317, 29, 325]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CamR-f\", \"bbox\": [1, 328, 26, 337]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 328, 246, 337]}, {\"cell\": \"This study\", \"bbox\": [432, 328, 464, 337]}, {\"cell\": \"CamR-r\", \"bbox\": [1, 340, 26, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 339, 241, 348]}, {\"cell\": \"This study\", \"bbox\": [432, 340, 464, 348]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5383704_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]PrePost[EMPTY_CELL]
[EMPTY_CELL]MeanSDMeanSDd
Standardized Gait[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Gait Velocity (m/s)0.82[EMPTY_CELL]0.830.040.32
Stride Length (m)0.85[EMPTY_CELL]0.880.040.75
Hip Flexion (°)26.74[EMPTY_CELL]27.563.460.25
Hip Adduction (°)10.31[EMPTY_CELL]10.292.11−0.01
Hip Internal Rotation (°)0.15[EMPTY_CELL]−0.013.08−0.05
Knee Flexion (°)−17.07[EMPTY_CELL]−15.916.290.19
Knee Abduction (°)−2.88[EMPTY_CELL]−2.392.400.20
Knee Internal Rotation (°)4.38[EMPTY_CELL]4.593.150.08
Ankle Dorsiflexion (°)8.50[EMPTY_CELL]7.474.03−0.29
Ankle Eversion (°)−5.80[EMPTY_CELL]−6.201.92−0.21
Drop Vertical Jump[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Hip Flexion (°)56.91[EMPTY_CELL]64.906.370.91
Hip Adduction (°)3.67[EMPTY_CELL]3.173.69−0.14
Hip Internal Rotation (°)4.96[EMPTY_CELL]4.384.29−0.13
Knee Flexion (°)−82.10[EMPTY_CELL]−82.325.32−0.03
Knee Abduction (°)−9.70[EMPTY_CELL]−9.825.34−0.02
Knee Internal Rotation (°)5.03[EMPTY_CELL]3.836.30−0.18
Ankle Dorsiflexion (°)30.68[EMPTY_CELL]29.134.12−0.38
Ankle Eversion (°)1.39[EMPTY_CELL]1.842.940.13
Trunk Flexion (°)16.89[EMPTY_CELL]23.627.040.96
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Pre\", \"bbox\": [100, 4, 112, 13]}, {\"cell\": \"Post\", \"bbox\": [160, 4, 176, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Mean\", \"bbox\": [100, 17, 120, 27]}, {\"cell\": \"SD\", \"bbox\": [132, 17, 143, 27]}, {\"cell\": \"Mean\", \"bbox\": [160, 17, 180, 27]}, {\"cell\": \"SD\", \"bbox\": [193, 17, 204, 27]}, {\"cell\": \"d\", \"bbox\": [217, 17, 223, 25]}, {\"cell\": \"Standardized Gait\", \"bbox\": [1, 30, 59, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Gait Velocity (m/s)\", \"bbox\": [8, 44, 69, 54]}, {\"cell\": \"0.82\", \"bbox\": [100, 44, 115, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 44, 147, 54]}, {\"cell\": \"0.83\", \"bbox\": [160, 44, 175, 54]}, {\"cell\": \"0.04\", \"bbox\": [193, 44, 208, 54]}, {\"cell\": \"0.32\", \"bbox\": [217, 44, 232, 54]}, {\"cell\": \" Stride Length (m)\", \"bbox\": [8, 58, 67, 68]}, {\"cell\": \"0.85\", \"bbox\": [100, 58, 115, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 58, 147, 68]}, {\"cell\": \"0.88\", \"bbox\": [160, 58, 175, 68]}, {\"cell\": \"0.04\", \"bbox\": [193, 58, 208, 68]}, {\"cell\": \"0.75\", \"bbox\": [217, 59, 233, 66]}, {\"cell\": \" Hip Flexion (°)\", \"bbox\": [8, 72, 55, 82]}, {\"cell\": \"26.74\", \"bbox\": [100, 72, 118, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 72, 147, 82]}, {\"cell\": \"27.56\", \"bbox\": [160, 72, 179, 82]}, {\"cell\": \"3.46\", \"bbox\": [193, 72, 208, 82]}, {\"cell\": \"0.25\", \"bbox\": [217, 72, 232, 82]}, {\"cell\": \" Hip Adduction (°)\", \"bbox\": [8, 86, 66, 96]}, {\"cell\": \"10.31\", \"bbox\": [100, 86, 118, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 86, 147, 96]}, {\"cell\": \"10.29\", \"bbox\": [160, 86, 179, 96]}, {\"cell\": \"2.11\", \"bbox\": [193, 86, 208, 96]}, {\"cell\": \"−0.01\", \"bbox\": [217, 86, 236, 96]}, {\"cell\": \" Hip Internal Rotation (°)\", \"bbox\": [8, 100, 86, 110]}, {\"cell\": \"0.15\", \"bbox\": [100, 100, 115, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 100, 147, 110]}, {\"cell\": \"−0.01\", \"bbox\": [160, 100, 180, 110]}, {\"cell\": \"3.08\", \"bbox\": [193, 100, 208, 110]}, {\"cell\": \"−0.05\", \"bbox\": [217, 100, 236, 110]}, {\"cell\": \" Knee Flexion (°)\", \"bbox\": [8, 114, 60, 124]}, {\"cell\": \"−17.07\", \"bbox\": [100, 114, 123, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 114, 147, 124]}, {\"cell\": \"−15.91\", \"bbox\": [160, 114, 184, 124]}, {\"cell\": \"6.29\", \"bbox\": [193, 114, 208, 124]}, {\"cell\": \"0.19\", \"bbox\": [217, 114, 232, 124]}, {\"cell\": \" Knee Abduction (°)\", \"bbox\": [8, 128, 71, 138]}, {\"cell\": \"−2.88\", \"bbox\": [100, 128, 119, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 128, 147, 138]}, {\"cell\": \"−2.39\", \"bbox\": [160, 128, 180, 138]}, {\"cell\": \"2.40\", \"bbox\": [193, 128, 208, 138]}, {\"cell\": \"0.20\", \"bbox\": [217, 128, 232, 138]}, {\"cell\": \" Knee Internal Rotation (°)\", \"bbox\": [8, 142, 91, 152]}, {\"cell\": \"4.38\", \"bbox\": [100, 142, 115, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 142, 147, 152]}, {\"cell\": \"4.59\", \"bbox\": [160, 142, 175, 152]}, {\"cell\": \"3.15\", \"bbox\": [193, 142, 208, 152]}, {\"cell\": \"0.08\", \"bbox\": [217, 142, 232, 152]}, {\"cell\": \" Ankle Dorsiflexion (°)\", \"bbox\": [8, 156, 77, 166]}, {\"cell\": \"8.50\", \"bbox\": [100, 156, 115, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 156, 147, 166]}, {\"cell\": \"7.47\", \"bbox\": [160, 156, 175, 166]}, {\"cell\": \"4.03\", \"bbox\": [193, 156, 208, 166]}, {\"cell\": \"−0.29\", \"bbox\": [217, 156, 236, 166]}, {\"cell\": \" Ankle Eversion (°)\", \"bbox\": [8, 170, 66, 180]}, {\"cell\": \"−5.80\", \"bbox\": [100, 170, 119, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 170, 147, 180]}, {\"cell\": \"−6.20\", \"bbox\": [160, 170, 180, 180]}, {\"cell\": \"1.92\", \"bbox\": [193, 170, 208, 180]}, {\"cell\": \"−0.21\", \"bbox\": [217, 170, 236, 180]}, {\"cell\": \"Drop Vertical Jump\", \"bbox\": [1, 184, 64, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Hip Flexion (°)\", \"bbox\": [8, 198, 55, 208]}, {\"cell\": \"56.91\", \"bbox\": [100, 198, 118, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 198, 151, 208]}, {\"cell\": \"64.90\", \"bbox\": [160, 198, 179, 208]}, {\"cell\": \"6.37\", \"bbox\": [193, 198, 208, 208]}, {\"cell\": \"0.91\", \"bbox\": [217, 199, 233, 206]}, {\"cell\": \" Hip Adduction (°)\", \"bbox\": [8, 212, 66, 222]}, {\"cell\": \"3.67\", \"bbox\": [100, 212, 115, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 212, 147, 222]}, {\"cell\": \"3.17\", \"bbox\": [160, 212, 175, 222]}, {\"cell\": \"3.69\", \"bbox\": [193, 212, 208, 222]}, {\"cell\": \"−0.14\", \"bbox\": [217, 212, 236, 222]}, {\"cell\": \" Hip Internal Rotation (°)\", \"bbox\": [8, 226, 86, 236]}, {\"cell\": \"4.96\", \"bbox\": [100, 226, 115, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 226, 147, 236]}, {\"cell\": \"4.38\", \"bbox\": [160, 226, 175, 236]}, {\"cell\": \"4.29\", \"bbox\": [193, 226, 208, 236]}, {\"cell\": \"−0.13\", \"bbox\": [217, 226, 236, 236]}, {\"cell\": \" Knee Flexion (°)\", \"bbox\": [8, 240, 60, 250]}, {\"cell\": \"−82.10\", \"bbox\": [100, 240, 123, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 240, 147, 250]}, {\"cell\": \"−82.32\", \"bbox\": [160, 240, 184, 250]}, {\"cell\": \"5.32\", \"bbox\": [193, 240, 208, 250]}, {\"cell\": \"−0.03\", \"bbox\": [217, 240, 236, 250]}, {\"cell\": \" Knee Abduction (°)\", \"bbox\": [8, 254, 71, 264]}, {\"cell\": \"−9.70\", \"bbox\": [100, 254, 119, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 254, 147, 264]}, {\"cell\": \"−9.82\", \"bbox\": [160, 254, 180, 264]}, {\"cell\": \"5.34\", \"bbox\": [193, 254, 208, 264]}, {\"cell\": \"−0.02\", \"bbox\": [217, 254, 236, 264]}, {\"cell\": \" Knee Internal Rotation (°)\", \"bbox\": [8, 268, 91, 278]}, {\"cell\": \"5.03\", \"bbox\": [100, 268, 115, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 268, 147, 278]}, {\"cell\": \"3.83\", \"bbox\": [160, 268, 175, 278]}, {\"cell\": \"6.30\", \"bbox\": [193, 268, 208, 278]}, {\"cell\": \"−0.18\", \"bbox\": [217, 268, 236, 278]}, {\"cell\": \" Ankle Dorsiflexion (°)\", \"bbox\": [8, 282, 77, 292]}, {\"cell\": \"30.68\", \"bbox\": [100, 282, 118, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 282, 147, 292]}, {\"cell\": \"29.13\", \"bbox\": [160, 282, 179, 292]}, {\"cell\": \"4.12\", \"bbox\": [193, 282, 208, 292]}, {\"cell\": \"−0.38\", \"bbox\": [217, 282, 236, 292]}, {\"cell\": \" Ankle Eversion (°)\", \"bbox\": [8, 296, 66, 306]}, {\"cell\": \"1.39\", \"bbox\": [100, 296, 115, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 296, 147, 306]}, {\"cell\": \"1.84\", \"bbox\": [160, 296, 175, 306]}, {\"cell\": \"2.94\", \"bbox\": [193, 296, 208, 306]}, {\"cell\": \"0.13\", \"bbox\": [217, 296, 232, 306]}, {\"cell\": \" Trunk Flexion (°)\", \"bbox\": [8, 310, 62, 320]}, {\"cell\": \"16.89\", \"bbox\": [100, 310, 118, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 310, 147, 320]}, {\"cell\": \"23.62\", \"bbox\": [160, 310, 179, 320]}, {\"cell\": \"7.04\", \"bbox\": [193, 310, 208, 320]}, {\"cell\": \"0.96\", \"bbox\": [217, 311, 233, 318]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4957340_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Acetic acid /μg m-3LocationFormic acid / μg m-3LocationFormaldehyde / μg m-3Location
[EMPTY_CELL]ABCABCABC
National Archives of Scotland (NAS)250 ± 212119 ± 1669 ± 158 ± 1337 ± 12[EMPTY_CELL]6 ± 14 ± 17 ± 1
National Library of Scotland (NLS)221 ± 19591 ± 198 ± 1530 ± 630 ± 3[EMPTY_CELL]8 ± 114 ± 212 ± 1
British Library (BL)222 ± 16348 ± 3352 ± 2740 ± 1310 ± 86[EMPTY_CELL]7 ± 115 ± 34 ± 1
Cambridge University Library (CUL)158 ± 25274 ± 83109 ± 3467 ± 1872 ± 21[EMPTY_CELL]18 ± 13 ± 15 ± 1
The National Archives (TNA)57 ± 30104 ± 3336 ± 232 ± 455 ± 20[EMPTY_CELL]6 ± 18 ± 18 ± 1
Trinity College Dublin (TCD)195 ± 10137 ± 72344 ± 28656 ± 1657 ± 6[EMPTY_CELL]12 ± 64 ± 15 ± 1
National Libraries of Wales (NLW)76 ± 1108 ± 41122 ± 1522 ± 130 ± 7[EMPTY_CELL]6 ± 17 ± 110 ± 1
Bodleian Library Oxford (OULS)123 ± 4162 ± 21132 ± 1148 ± 458 ± 24[EMPTY_CELL]5 ± 16 ± 19 ± 1
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Acetic acid /μg m-3Location\", \"bbox\": [134, 3, 234, 14]}, {\"cell\": \"Formic acid / μg m-3Location\", \"bbox\": [247, 3, 352, 14]}, {\"cell\": \"Formaldehyde / μg m-3Location\", \"bbox\": [365, 3, 479, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"A\", \"bbox\": [144, 17, 151, 27]}, {\"cell\": \"B\", \"bbox\": [181, 17, 188, 27]}, {\"cell\": \"C\", \"bbox\": [218, 17, 225, 27]}, {\"cell\": \"A\", \"bbox\": [255, 17, 262, 27]}, {\"cell\": \"B\", \"bbox\": [292, 17, 299, 27]}, {\"cell\": \"C\", \"bbox\": [334, 17, 340, 27]}, {\"cell\": \"A\", \"bbox\": [376, 17, 383, 27]}, {\"cell\": \"B\", \"bbox\": [419, 17, 425, 27]}, {\"cell\": \"C\", \"bbox\": [461, 17, 468, 27]}, {\"cell\": \"National Archives of Scotland (NAS)\", \"bbox\": [1, 31, 126, 40]}, {\"cell\": \"250 ± 212\", \"bbox\": [129, 31, 162, 39]}, {\"cell\": \"119 ± 16\", \"bbox\": [170, 31, 199, 39]}, {\"cell\": \"69 ± 1\", \"bbox\": [209, 31, 230, 39]}, {\"cell\": \"58 ± 13\", \"bbox\": [246, 31, 271, 39]}, {\"cell\": \"37 ± 12\", \"bbox\": [285, 31, 310, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [325, 31, 349, 39]}, {\"cell\": \"6 ± 1\", \"bbox\": [373, 31, 390, 39]}, {\"cell\": \"4 ± 1\", \"bbox\": [416, 31, 433, 39]}, {\"cell\": \"7 ± 1\", \"bbox\": [458, 31, 475, 39]}, {\"cell\": \"National Library of Scotland (NLS)\", \"bbox\": [1, 44, 120, 53]}, {\"cell\": \"221 ± 195\", \"bbox\": [129, 44, 162, 52]}, {\"cell\": \"91 ± 1\", \"bbox\": [174, 44, 195, 52]}, {\"cell\": \"98 ± 15\", \"bbox\": [209, 44, 234, 52]}, {\"cell\": \"30 ± 6\", \"bbox\": [246, 44, 267, 52]}, {\"cell\": \"30 ± 3\", \"bbox\": [285, 44, 306, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [325, 44, 345, 52]}, {\"cell\": \"8 ± 1\", \"bbox\": [373, 44, 390, 52]}, {\"cell\": \"14 ± 2\", \"bbox\": [412, 44, 433, 52]}, {\"cell\": \"12 ± 1\", \"bbox\": [454, 44, 475, 52]}, {\"cell\": \"British Library (BL)\", \"bbox\": [1, 57, 67, 66]}, {\"cell\": \"222 ± 16\", \"bbox\": [133, 57, 162, 65]}, {\"cell\": \"348 ± 33\", \"bbox\": [170, 57, 199, 65]}, {\"cell\": \"52 ± 27\", \"bbox\": [209, 57, 234, 65]}, {\"cell\": \"40 ± 1\", \"bbox\": [246, 57, 267, 65]}, {\"cell\": \"310 ± 86\", \"bbox\": [282, 57, 310, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [325, 57, 349, 65]}, {\"cell\": \"7 ± 1\", \"bbox\": [373, 57, 390, 65]}, {\"cell\": \"15 ± 3\", \"bbox\": [412, 57, 433, 65]}, {\"cell\": \"4 ± 1\", \"bbox\": [458, 57, 475, 65]}, {\"cell\": \"Cambridge University Library (CUL)\", \"bbox\": [1, 70, 125, 80]}, {\"cell\": \"158 ± 25\", \"bbox\": [133, 71, 162, 78]}, {\"cell\": \"274 ± 83\", \"bbox\": [170, 71, 199, 78]}, {\"cell\": \"109 ± 34\", \"bbox\": [205, 71, 234, 78]}, {\"cell\": \"67 ± 18\", \"bbox\": [246, 71, 271, 78]}, {\"cell\": \"72 ± 21\", \"bbox\": [285, 71, 310, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [325, 71, 345, 78]}, {\"cell\": \"18 ± 1\", \"bbox\": [369, 71, 390, 78]}, {\"cell\": \"3 ± 1\", \"bbox\": [416, 71, 433, 78]}, {\"cell\": \"5 ± 1\", \"bbox\": [458, 71, 475, 78]}, {\"cell\": \"The National Archives (TNA)\", \"bbox\": [1, 83, 100, 93]}, {\"cell\": \"57 ± 30\", \"bbox\": [137, 84, 162, 91]}, {\"cell\": \"104 ± 33\", \"bbox\": [170, 84, 199, 91]}, {\"cell\": \"36 ± 2\", \"bbox\": [209, 84, 230, 91]}, {\"cell\": \"32 ± 4\", \"bbox\": [246, 84, 267, 91]}, {\"cell\": \"55 ± 20\", \"bbox\": [285, 84, 310, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [325, 84, 349, 91]}, {\"cell\": \"6 ± 1\", \"bbox\": [373, 84, 390, 91]}, {\"cell\": \"8 ± 1\", \"bbox\": [416, 84, 433, 91]}, {\"cell\": \"8 ± 1\", \"bbox\": [458, 84, 475, 91]}, {\"cell\": \"Trinity College Dublin (TCD)\", \"bbox\": [1, 96, 100, 106]}, {\"cell\": \"195 ± 10\", \"bbox\": [133, 97, 162, 104]}, {\"cell\": \"137 ± 72\", \"bbox\": [170, 97, 199, 104]}, {\"cell\": \"344 ± 286\", \"bbox\": [205, 97, 237, 104]}, {\"cell\": \"56 ± 16\", \"bbox\": [246, 97, 271, 104]}, {\"cell\": \"57 ± 6\", \"bbox\": [285, 97, 306, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [321, 97, 353, 104]}, {\"cell\": \"12 ± 6\", \"bbox\": [369, 97, 390, 104]}, {\"cell\": \"4 ± 1\", \"bbox\": [416, 97, 433, 104]}, {\"cell\": \"5 ± 1\", \"bbox\": [458, 97, 475, 104]}, {\"cell\": \"National Libraries of Wales (NLW)\", \"bbox\": [1, 110, 119, 119]}, {\"cell\": \"76 ± 1\", \"bbox\": [137, 110, 158, 117]}, {\"cell\": \"108 ± 41\", \"bbox\": [170, 110, 199, 117]}, {\"cell\": \"122 ± 15\", \"bbox\": [205, 110, 234, 117]}, {\"cell\": \"22 ± 1\", \"bbox\": [246, 110, 267, 117]}, {\"cell\": \"30 ± 7\", \"bbox\": [285, 110, 306, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [325, 110, 345, 117]}, {\"cell\": \"6 ± 1\", \"bbox\": [373, 110, 390, 117]}, {\"cell\": \"7 ± 1\", \"bbox\": [416, 110, 433, 117]}, {\"cell\": \"10 ± 1\", \"bbox\": [454, 110, 475, 117]}, {\"cell\": \"Bodleian Library Oxford (OULS)\", \"bbox\": [1, 123, 111, 132]}, {\"cell\": \"123 ± 4\", \"bbox\": [133, 123, 158, 131]}, {\"cell\": \"162 ± 21\", \"bbox\": [170, 123, 199, 131]}, {\"cell\": \"132 ± 11\", \"bbox\": [205, 123, 234, 131]}, {\"cell\": \"48 ± 4\", \"bbox\": [246, 123, 267, 131]}, {\"cell\": \"58 ± 24\", \"bbox\": [285, 123, 310, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [325, 123, 345, 131]}, {\"cell\": \"5 ± 1\", \"bbox\": [373, 123, 390, 131]}, {\"cell\": \"6 ± 1\", \"bbox\": [416, 123, 433, 131]}, {\"cell\": \"9 ± 1\", \"bbox\": [458, 123, 475, 131]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3439258_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariablesControl group(n = 38)LCBMP(n = 17)LCWMP(n = 2)
BMI (kg/m2)20.83 (15.96–31.24)A*24.97 (20.35–40.0) A*[EMPTY_CELL]
WC (cm)72.34 ± 7.97 A*80.21 ± 9.08 A*[EMPTY_CELL]
Homocysteine (mmol/L) ¥7.27 ± 1.82 A,B8.59 ± 2.38 A[EMPTY_CELL]
Folate (ng/L)§13.94 (10.4–26.2) B*12.37 (5.8–19.25)[EMPTY_CELL]
Cholesterol (mg/dL)§152.28 ± 31.90157.23 ± 42.34[EMPTY_CELL]
HDL (mg/dL)§44.26 (25.0–99.0)37.93 (27.0–61.0)[EMPTY_CELL]
LDL(mg/dL)§88.93 ± 27.2395.53 ± 27.49[EMPTY_CELL]
Triglycerides (mg/dL)§88.65 (25.0–226.0) A*, B142.82 (31.0–725.0)A*[EMPTY_CELL]
TNF-α (pg/mL)§7.08 ± 2.41A, B*8.22 ± 2.14A,C[EMPTY_CELL]
hs-CRP (mg/L)§0.86 (0.30–4.60) A*, B*2.97 (0.30–7.80) A*,C*[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Variables\", \"bbox\": [1, 4, 30, 13]}, {\"cell\": \"Control group(n = 38)\", \"bbox\": [149, 4, 196, 22]}, {\"cell\": \"LCBMP(n = 17)\", \"bbox\": [285, 4, 311, 22]}, {\"cell\": \"LCWMP(n = 2)\", \"bbox\": [417, 4, 443, 22]}, {\"cell\": \"BMI (kg/m2)\", \"bbox\": [1, 24, 44, 36]}, {\"cell\": \"20.83 (15.96–31.24)A*\", \"bbox\": [149, 24, 217, 36]}, {\"cell\": \"24.97 (20.35–40.0) A*\", \"bbox\": [285, 24, 352, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [417, 26, 479, 36]}, {\"cell\": \"WC (cm)\", \"bbox\": [1, 38, 33, 50]}, {\"cell\": \"72.34 ± 7.97 A*\", \"bbox\": [149, 38, 196, 50]}, {\"cell\": \"80.21 ± 9.08 A*\", \"bbox\": [285, 38, 333, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [417, 40, 447, 50]}, {\"cell\": \"Homocysteine (mmol/L) ¥\", \"bbox\": [1, 52, 85, 64]}, {\"cell\": \"7.27 ± 1.82 A,B\", \"bbox\": [149, 52, 194, 64]}, {\"cell\": \"8.59 ± 2.38 A\", \"bbox\": [285, 52, 326, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [417, 52, 457, 64]}, {\"cell\": \"Folate (ng/L)§\", \"bbox\": [1, 66, 46, 78]}, {\"cell\": \"13.94 (10.4–26.2) B*\", \"bbox\": [149, 66, 211, 78]}, {\"cell\": \"12.37 (5.8–19.25)\", \"bbox\": [285, 68, 340, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [417, 66, 471, 78]}, {\"cell\": \"Cholesterol (mg/dL)§\", \"bbox\": [1, 80, 69, 92]}, {\"cell\": \"152.28 ± 31.90\", \"bbox\": [149, 82, 196, 92]}, {\"cell\": \"157.23 ± 42.34\", \"bbox\": [285, 82, 332, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [417, 82, 460, 92]}, {\"cell\": \"HDL (mg/dL)§\", \"bbox\": [1, 94, 47, 106]}, {\"cell\": \"44.26 (25.0–99.0)\", \"bbox\": [149, 96, 203, 106]}, {\"cell\": \"37.93 (27.0–61.0)\", \"bbox\": [285, 96, 340, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [417, 96, 468, 106]}, {\"cell\": \"LDL(mg/dL)§\", \"bbox\": [1, 108, 43, 120]}, {\"cell\": \"88.93 ± 27.23\", \"bbox\": [149, 110, 192, 120]}, {\"cell\": \"95.53 ± 27.49\", \"bbox\": [285, 110, 328, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [417, 110, 460, 120]}, {\"cell\": \"Triglycerides (mg/dL)§\", \"bbox\": [1, 122, 73, 134]}, {\"cell\": \"88.65 (25.0–226.0) A*, B\", \"bbox\": [149, 122, 222, 134]}, {\"cell\": \"142.82 (31.0–725.0)A*\", \"bbox\": [285, 122, 353, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [417, 122, 482, 134]}, {\"cell\": \"TNF-α (pg/mL)§\", \"bbox\": [1, 136, 52, 148]}, {\"cell\": \"7.08 ± 2.41A, B*\", \"bbox\": [149, 136, 196, 148]}, {\"cell\": \"8.22 ± 2.14A,C\", \"bbox\": [285, 136, 328, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [417, 136, 466, 148]}, {\"cell\": \"hs-CRP (mg/L)§\", \"bbox\": [1, 150, 51, 162]}, {\"cell\": \"0.86 (0.30–4.60) A*, B*\", \"bbox\": [149, 150, 216, 162]}, {\"cell\": \"2.97 (0.30–7.80) A*,C*\", \"bbox\": [285, 150, 351, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [417, 150, 484, 162]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5761099_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
miRNAsSequencing frequencyNormalized valueFold-change(log2SP/FPP-valueSignificance
[EMPTY_CELL]FPSPFPSP[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
rgl-miR156a2,9451,526[EMPTY_CELL]97.54-1.050.00**
rgl-miR156b6330[EMPTY_CELL]1.92-1.170.00**
rgl-miR156f4014[EMPTY_CELL]0.89-1.610.00**
rgl-miR157a126,26424,968[EMPTY_CELL]1,595.98-2.433.45E-263**
rgl-miR157b2,1541,071[EMPTY_CELL]68.46-1.14.40E-05**
rgl-miR157c22187[EMPTY_CELL]5.56-1.441.26E-11**
rgl-miR157d15853[EMPTY_CELL]3.39-1.670.00**
rgl-miR160a1747[EMPTY_CELL]31.377.87E-16**
rgl-miR160b226[EMPTY_CELL]1.663.60.00**
rgl-miR160c332[EMPTY_CELL]2.053.320.00**
rgl-miR164b15362[EMPTY_CELL]3.96-1.290.00**
rgl-miR166a15,2574,835[EMPTY_CELL]309.06-1.650.00**
rgl-miR166b15,6074,964[EMPTY_CELL]317.3-1.643.65E-66**
rgl-miR166c17,6395,735[EMPTY_CELL]366.59-1.610.00**
rgl-miR167a8,6734,231[EMPTY_CELL]270.45-1.030.00**
rgl-miR167b8,1643,965[EMPTY_CELL]253.45-1.030.00**
rgl-miR167d689317[EMPTY_CELL]20.26-1.110.00**
rgl-miR168a2,520494[EMPTY_CELL]31.58-2.340.00**
rgl-miR168b2,547512[EMPTY_CELL]32.73-2.30.00**
rgl-miR171a101234[EMPTY_CELL]14.961.222.82E-59**
rgl-miR171b3781[EMPTY_CELL]5.181.140.00**
rgl-miR395a263[EMPTY_CELL]0.19-3.110.00**
rgl-miR395b110[EMPTY_CELL]0.06-3.450.00**
rgl-miR396a1,331577[EMPTY_CELL]36.88-1.20.00**
rgl-miR396b656295[EMPTY_CELL]18.86-1.140.00**
rgl-miR396c451221[EMPTY_CELL]14.13-1.020.00**
rgl-miR397a300[EMPTY_CELL]0.01-7.570.00**
rgl-miR398a760[EMPTY_CELL]0.01-8.918.50E-36**
rgl-miR398b370[EMPTY_CELL]0.01-7.883.24E-10**
rgl-miR51383284[EMPTY_CELL]7.671.440.00**
rgl-miR5140395[EMPTY_CELL]0.20-2.960.00**
rgl-miR5142030[EMPTY_CELL]2.948.20.00**
\", \"cells\": [{\"cell\": \"miRNAs\", \"bbox\": [18, 4, 47, 13]}, {\"cell\": \"Sequencing frequency\", \"bbox\": [98, 4, 140, 22]}, {\"cell\": \"Normalized value\", \"bbox\": [206, 4, 248, 22]}, {\"cell\": \"Fold-change(log2SP/FP\", \"bbox\": [296, 4, 341, 23]}, {\"cell\": \"P-value\", \"bbox\": [371, 4, 399, 13]}, {\"cell\": \"Significance\", \"bbox\": [429, 4, 472, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"FP\", \"bbox\": [89, 26, 99, 36]}, {\"cell\": \"SP\", \"bbox\": [141, 26, 152, 36]}, {\"cell\": \"FP\", \"bbox\": [194, 26, 204, 36]}, {\"cell\": \"SP\", \"bbox\": [250, 26, 260, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"rgl-miR156a\", \"bbox\": [13, 39, 53, 49]}, {\"cell\": \"2,945\", \"bbox\": [85, 39, 103, 49]}, {\"cell\": \"1,526\", \"bbox\": [137, 39, 156, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 39, 210, 49]}, {\"cell\": \"97.54\", \"bbox\": [245, 39, 264, 49]}, {\"cell\": \"-1.05\", \"bbox\": [310, 39, 327, 49]}, {\"cell\": \"0.00\", \"bbox\": [378, 39, 393, 49]}, {\"cell\": \"**\", \"bbox\": [447, 39, 455, 49]}, {\"cell\": \"rgl-miR156b\", \"bbox\": [13, 51, 53, 61]}, {\"cell\": \"63\", \"bbox\": [89, 51, 99, 61]}, {\"cell\": \"30\", \"bbox\": [141, 51, 151, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [192, 51, 207, 61]}, {\"cell\": \"1.92\", \"bbox\": [247, 51, 262, 61]}, {\"cell\": \"-1.17\", \"bbox\": [310, 51, 327, 61]}, {\"cell\": \"0.00\", \"bbox\": [378, 51, 393, 61]}, {\"cell\": \"**\", \"bbox\": [447, 51, 455, 61]}, {\"cell\": \"rgl-miR156f\", \"bbox\": [14, 63, 52, 73]}, {\"cell\": \"40\", \"bbox\": [89, 63, 99, 73]}, {\"cell\": \"14\", \"bbox\": [141, 63, 151, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [192, 63, 207, 73]}, {\"cell\": \"0.89\", \"bbox\": [247, 63, 262, 73]}, {\"cell\": \"-1.61\", \"bbox\": [310, 63, 327, 73]}, {\"cell\": \"0.00\", \"bbox\": [378, 63, 393, 73]}, {\"cell\": \"**\", \"bbox\": [447, 63, 455, 73]}, {\"cell\": \"rgl-miR157a\", \"bbox\": [13, 75, 53, 85]}, {\"cell\": \"126,264\", \"bbox\": [81, 75, 107, 85]}, {\"cell\": \"24,968\", \"bbox\": [135, 75, 158, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [185, 75, 213, 85]}, {\"cell\": \"1,595.98\", \"bbox\": [241, 75, 269, 85]}, {\"cell\": \"-2.43\", \"bbox\": [310, 75, 327, 85]}, {\"cell\": \"3.45E-263\", \"bbox\": [369, 75, 401, 85]}, {\"cell\": \"**\", \"bbox\": [447, 75, 455, 85]}, {\"cell\": \"rgl-miR157b\", \"bbox\": [13, 87, 53, 97]}, {\"cell\": \"2,154\", \"bbox\": [85, 87, 103, 97]}, {\"cell\": \"1,071\", \"bbox\": [137, 87, 156, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 87, 210, 97]}, {\"cell\": \"68.46\", \"bbox\": [245, 87, 264, 97]}, {\"cell\": \"-1.1\", \"bbox\": [312, 87, 325, 97]}, {\"cell\": \"4.40E-05\", \"bbox\": [371, 87, 399, 97]}, {\"cell\": \"**\", \"bbox\": [447, 87, 455, 97]}, {\"cell\": \"rgl-miR157c\", \"bbox\": [13, 99, 53, 109]}, {\"cell\": \"221\", \"bbox\": [87, 99, 101, 109]}, {\"cell\": \"87\", \"bbox\": [141, 99, 151, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 99, 209, 109]}, {\"cell\": \"5.56\", \"bbox\": [247, 99, 262, 109]}, {\"cell\": \"-1.44\", \"bbox\": [310, 99, 327, 109]}, {\"cell\": \"1.26E-11\", \"bbox\": [371, 99, 399, 109]}, {\"cell\": \"**\", \"bbox\": [447, 99, 455, 109]}, {\"cell\": \"rgl-miR157d\", \"bbox\": [13, 111, 53, 121]}, {\"cell\": \"158\", \"bbox\": [87, 111, 101, 121]}, {\"cell\": \"53\", \"bbox\": [141, 111, 151, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [192, 111, 207, 121]}, {\"cell\": \"3.39\", \"bbox\": [247, 111, 262, 121]}, {\"cell\": \"-1.67\", \"bbox\": [310, 111, 327, 121]}, {\"cell\": \"0.00\", \"bbox\": [378, 111, 393, 121]}, {\"cell\": \"**\", \"bbox\": [447, 111, 455, 121]}, {\"cell\": \"rgl-miR160a\", \"bbox\": [13, 123, 53, 132]}, {\"cell\": \"17\", \"bbox\": [89, 123, 99, 132]}, {\"cell\": \"47\", \"bbox\": [141, 123, 151, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [192, 123, 207, 132]}, {\"cell\": \"3\", \"bbox\": [252, 123, 258, 132]}, {\"cell\": \"1.37\", \"bbox\": [311, 123, 326, 132]}, {\"cell\": \"7.87E-16\", \"bbox\": [371, 123, 399, 132]}, {\"cell\": \"**\", \"bbox\": [447, 123, 455, 132]}, {\"cell\": \"rgl-miR160b\", \"bbox\": [13, 135, 53, 144]}, {\"cell\": \"2\", \"bbox\": [91, 135, 97, 144]}, {\"cell\": \"26\", \"bbox\": [141, 135, 151, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [192, 135, 207, 144]}, {\"cell\": \"1.66\", \"bbox\": [247, 135, 262, 144]}, {\"cell\": \"3.6\", \"bbox\": [313, 135, 324, 144]}, {\"cell\": \"0.00\", \"bbox\": [378, 135, 393, 144]}, {\"cell\": \"**\", \"bbox\": [447, 135, 455, 144]}, {\"cell\": \"rgl-miR160c\", \"bbox\": [13, 147, 53, 156]}, {\"cell\": \"3\", \"bbox\": [91, 147, 97, 156]}, {\"cell\": \"32\", \"bbox\": [141, 147, 151, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [192, 147, 207, 156]}, {\"cell\": \"2.05\", \"bbox\": [247, 147, 262, 156]}, {\"cell\": \"3.32\", \"bbox\": [311, 147, 326, 156]}, {\"cell\": \"0.00\", \"bbox\": [378, 147, 393, 156]}, {\"cell\": \"**\", \"bbox\": [447, 147, 455, 156]}, {\"cell\": \"rgl-miR164b\", \"bbox\": [13, 159, 53, 168]}, {\"cell\": \"153\", \"bbox\": [87, 159, 101, 168]}, {\"cell\": \"62\", \"bbox\": [141, 159, 151, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [192, 159, 207, 168]}, {\"cell\": \"3.96\", \"bbox\": [247, 159, 262, 168]}, {\"cell\": \"-1.29\", \"bbox\": [310, 159, 327, 168]}, {\"cell\": \"0.00\", \"bbox\": [378, 159, 393, 168]}, {\"cell\": \"**\", \"bbox\": [447, 159, 455, 168]}, {\"cell\": \"rgl-miR166a\", \"bbox\": [13, 171, 53, 180]}, {\"cell\": \"15,257\", \"bbox\": [83, 171, 105, 180]}, {\"cell\": \"4,835\", \"bbox\": [137, 171, 156, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 171, 209, 180]}, {\"cell\": \"309.06\", \"bbox\": [244, 171, 266, 180]}, {\"cell\": \"-1.65\", \"bbox\": [310, 171, 327, 180]}, {\"cell\": \"0.00\", \"bbox\": [378, 171, 393, 180]}, {\"cell\": \"**\", \"bbox\": [447, 171, 455, 180]}, {\"cell\": \"rgl-miR166b\", \"bbox\": [13, 183, 53, 192]}, {\"cell\": \"15,607\", \"bbox\": [83, 183, 105, 192]}, {\"cell\": \"4,964\", \"bbox\": [137, 183, 156, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 183, 210, 192]}, {\"cell\": \"317.3\", \"bbox\": [245, 183, 264, 192]}, {\"cell\": \"-1.64\", \"bbox\": [310, 183, 327, 192]}, {\"cell\": \"3.65E-66\", \"bbox\": [371, 183, 399, 192]}, {\"cell\": \"**\", \"bbox\": [447, 183, 455, 192]}, {\"cell\": \"rgl-miR166c\", \"bbox\": [13, 195, 53, 204]}, {\"cell\": \"17,639\", \"bbox\": [83, 195, 105, 204]}, {\"cell\": \"5,735\", \"bbox\": [137, 195, 156, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [185, 195, 213, 204]}, {\"cell\": \"366.59\", \"bbox\": [244, 195, 266, 204]}, {\"cell\": \"-1.61\", \"bbox\": [310, 195, 327, 204]}, {\"cell\": \"0.00\", \"bbox\": [378, 195, 393, 204]}, {\"cell\": \"**\", \"bbox\": [447, 195, 455, 204]}, {\"cell\": \"rgl-miR167a\", \"bbox\": [13, 207, 53, 216]}, {\"cell\": \"8,673\", \"bbox\": [85, 207, 103, 216]}, {\"cell\": \"4,231\", \"bbox\": [137, 207, 156, 216]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 207, 210, 216]}, {\"cell\": \"270.45\", \"bbox\": [244, 207, 266, 216]}, {\"cell\": \"-1.03\", \"bbox\": [310, 207, 327, 216]}, {\"cell\": \"0.00\", \"bbox\": [378, 207, 393, 216]}, {\"cell\": \"**\", \"bbox\": [447, 207, 455, 216]}, {\"cell\": \"rgl-miR167b\", \"bbox\": [13, 219, 53, 228]}, {\"cell\": \"8,164\", \"bbox\": [85, 219, 103, 228]}, {\"cell\": \"3,965\", \"bbox\": [137, 219, 156, 228]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 219, 210, 228]}, {\"cell\": \"253.45\", \"bbox\": [244, 219, 266, 228]}, {\"cell\": \"-1.03\", \"bbox\": [310, 219, 327, 228]}, {\"cell\": \"0.00\", \"bbox\": [378, 219, 393, 228]}, {\"cell\": \"**\", \"bbox\": [447, 219, 455, 228]}, {\"cell\": \"rgl-miR167d\", \"bbox\": [13, 231, 53, 240]}, {\"cell\": \"689\", \"bbox\": [87, 231, 101, 240]}, {\"cell\": \"317\", \"bbox\": [140, 231, 153, 240]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 231, 209, 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{\"cell\": \"rgl-miR395a\", \"bbox\": [13, 290, 53, 300]}, {\"cell\": \"26\", \"bbox\": [89, 290, 99, 300]}, {\"cell\": \"3\", \"bbox\": [143, 290, 149, 300]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [192, 290, 207, 300]}, {\"cell\": \"0.19\", \"bbox\": [247, 290, 262, 300]}, {\"cell\": \"-3.11\", \"bbox\": [310, 290, 327, 300]}, {\"cell\": \"0.00\", \"bbox\": [378, 290, 393, 300]}, {\"cell\": \"**\", \"bbox\": [447, 290, 455, 300]}, {\"cell\": \"rgl-miR395b\", \"bbox\": [13, 302, 53, 312]}, {\"cell\": \"11\", \"bbox\": [89, 302, 99, 312]}, {\"cell\": \"0\", \"bbox\": [143, 302, 149, 312]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [194, 302, 205, 312]}, {\"cell\": \"0.06\", \"bbox\": [247, 302, 262, 312]}, {\"cell\": \"-3.45\", \"bbox\": [310, 302, 327, 312]}, {\"cell\": \"0.00\", \"bbox\": [378, 302, 393, 312]}, {\"cell\": \"**\", \"bbox\": [447, 302, 455, 312]}, {\"cell\": \"rgl-miR396a\", \"bbox\": [13, 314, 53, 324]}, {\"cell\": \"1,331\", \"bbox\": [85, 314, 103, 324]}, {\"cell\": 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[13, 398, 53, 407]}, {\"cell\": \"39\", \"bbox\": [89, 398, 99, 407]}, {\"cell\": \"5\", \"bbox\": [143, 398, 149, 407]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [192, 398, 207, 407]}, {\"cell\": \"0.20\", \"bbox\": [247, 398, 262, 407]}, {\"cell\": \"-2.96\", \"bbox\": [310, 398, 327, 407]}, {\"cell\": \"0.00\", \"bbox\": [378, 398, 393, 407]}, {\"cell\": \"**\", \"bbox\": [447, 398, 455, 407]}, {\"cell\": \"rgl-miR5142\", \"bbox\": [13, 410, 53, 419]}, {\"cell\": \"0\", \"bbox\": [91, 410, 97, 419]}, {\"cell\": \"30\", \"bbox\": [141, 410, 151, 419]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [192, 410, 207, 419]}, {\"cell\": \"2.94\", \"bbox\": [247, 410, 262, 419]}, {\"cell\": \"8.2\", \"bbox\": [313, 410, 324, 419]}, {\"cell\": \"0.00\", \"bbox\": [378, 410, 393, 419]}, {\"cell\": \"**\", \"bbox\": [447, 410, 455, 419]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3078876_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Response to treatment1Gene Ontology terms (ID and P-value)2
Fast responders (FR)[EMPTY_CELL]
Partial responders (PR)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Response to treatment1\", \"bbox\": [6, 8, 81, 18]}, {\"cell\": \"Gene Ontology terms (ID and P-value)2\", \"bbox\": [90, 8, 212, 18]}, {\"cell\": \"Fast responders (FR)\", \"bbox\": [6, 24, 64, 33]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [90, 24, 481, 100]}, {\"cell\": \"Partial responders (PR)\", \"bbox\": [6, 99, 70, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [90, 99, 479, 189]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3748792_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]AllAsymptomatica
[EMPTY_CELL]OR (95% CI)OR (95% CI)
[EMPTY_CELL]Microscopybmsp2-PCRcReal-time PCRdMicroscopybmsp2-PCRcReal-time PCRd
Yeare[EMPTY_CELL][EMPTY_CELL]
Age group[EMPTY_CELL][EMPTY_CELL]
0-40.86 (0.83, 0.88)[EMPTY_CELL]0.87 (0.85, 0.89)0.73 (0.70, 0.77)0.87 (0.86, 0.89)0.85 (0.83, 0.86)
5-80.86 (0.83, 0.88)[EMPTY_CELL]0.79 (0.76, 0.83)0.73 (0.70, 0.77)0.87 (0.86, 0.89)0.85 (0.83, 0.86)
9-120.86 (0.83, 0.88)[EMPTY_CELL]0.79 (0.76, 0.82)0.73 (0.70, 0.77)0.87 (0.86, 0.89)0.85 (0.83, 0.86)
13-160.86 (0.83, 0.88)[EMPTY_CELL]0.87 (0.85, 0.89)0.73 (0.70, 0.77)0.87 (0.86, 0.89)0.85 (0.83, 0.86)
>160.86 (0.83, 0.88)[EMPTY_CELL]0.87 (0.85, 0.89)0.83 (0.78, 0.89)0.87 (0.86, 0.89)0.85 (0.83, 0.86)
Age groupf[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
0-41 (-)[EMPTY_CELL]1 (-)1 (-)1 (-)1 (-)
5-81.92 (1.46, 2.51)[EMPTY_CELL]3.27 (1.97, 5.41)2.60 (1.87, 3.61)2.76 (1.70, 4.48)2.39 (1.51, 3.77)
9-121.04 (0.79, 1.37)[EMPTY_CELL]6.06 (3.53, 10.4)1.86 (1.34, 2.59)4.28 (2.67, 6.86)4.73 (3.03, 7.40)
13-160.84 (0.63, 1.14)[EMPTY_CELL]2.70 (1.82, 4.01)1.65 (1.16, 2.36)5.28 (3.26, 8.57)4.92 (3.11, 7.77)
>160.23 (0.18, 0.30)[EMPTY_CELL]1.04 (0.75, 1.45)0.34 (0.25, 0.47)1.56 (1.03, 2.36)1.84 (1.25, 2.72)
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"All\", \"bbox\": [82, 4, 93, 13]}, {\"cell\": \"Asymptomatica\", \"bbox\": [292, 2, 347, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"OR (95% CI)\", \"bbox\": [82, 17, 125, 27]}, {\"cell\": \"OR (95% CI)\", \"bbox\": [292, 17, 336, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Microscopyb\", \"bbox\": [82, 29, 127, 40]}, {\"cell\": \"msp2-PCRc\", \"bbox\": [151, 29, 190, 40]}, {\"cell\": \"Real-time PCRd\", \"bbox\": [220, 29, 274, 40]}, {\"cell\": \"Microscopyb\", \"bbox\": [292, 29, 337, 40]}, {\"cell\": \"msp2-PCRc\", \"bbox\": [361, 29, 400, 40]}, {\"cell\": \"Real-time PCRd\", \"bbox\": [430, 29, 484, 40]}, {\"cell\": \"Yeare\", \"bbox\": [1, 42, 21, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Age group\", \"bbox\": [24, 57, 64, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0-4\", \"bbox\": [24, 71, 37, 81]}, {\"cell\": \"0.86 (0.83, 0.88)\", \"bbox\": [82, 72, 133, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [151, 72, 202, 80]}, {\"cell\": \"0.87 (0.85, 0.89)\", \"bbox\": [220, 72, 271, 80]}, {\"cell\": \"0.73 (0.70, 0.77)\", \"bbox\": [292, 72, 343, 80]}, {\"cell\": \"0.87 (0.86, 0.89)\", \"bbox\": [361, 72, 412, 80]}, {\"cell\": \"0.85 (0.83, 0.86)\", \"bbox\": [430, 72, 481, 80]}, {\"cell\": \"5-8\", \"bbox\": [24, 85, 37, 95]}, {\"cell\": \"0.86 (0.83, 0.88)\", \"bbox\": [82, 86, 133, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [151, 86, 202, 94]}, {\"cell\": \"0.79 (0.76, 0.83)\", \"bbox\": [220, 86, 271, 94]}, {\"cell\": \"0.73 (0.70, 0.77)\", \"bbox\": [292, 86, 343, 94]}, {\"cell\": \"0.87 (0.86, 0.89)\", \"bbox\": [361, 86, 412, 94]}, {\"cell\": \"0.85 (0.83, 0.86)\", \"bbox\": [430, 86, 481, 94]}, {\"cell\": \"9-12\", \"bbox\": [24, 99, 42, 109]}, {\"cell\": \"0.86 (0.83, 0.88)\", \"bbox\": [82, 100, 133, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [151, 100, 202, 108]}, {\"cell\": \"0.79 (0.76, 0.82)\", \"bbox\": [220, 100, 271, 108]}, {\"cell\": \"0.73 (0.70, 0.77)\", \"bbox\": [292, 100, 343, 108]}, {\"cell\": \"0.87 (0.86, 0.89)\", \"bbox\": [361, 100, 412, 108]}, {\"cell\": \"0.85 (0.83, 0.86)\", \"bbox\": [430, 100, 481, 108]}, {\"cell\": \"13-16\", \"bbox\": [24, 113, 46, 123]}, {\"cell\": \"0.86 (0.83, 0.88)\", \"bbox\": [82, 114, 133, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [151, 114, 202, 122]}, {\"cell\": \"0.87 (0.85, 0.89)\", \"bbox\": [220, 114, 271, 122]}, {\"cell\": \"0.73 (0.70, 0.77)\", \"bbox\": [292, 114, 343, 122]}, {\"cell\": \"0.87 (0.86, 0.89)\", \"bbox\": [361, 114, 412, 122]}, {\"cell\": \"0.85 (0.83, 0.86)\", \"bbox\": [430, 114, 481, 122]}, {\"cell\": \">16\", \"bbox\": [24, 127, 40, 137]}, {\"cell\": \"0.86 (0.83, 0.88)\", \"bbox\": [82, 128, 133, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [151, 128, 202, 136]}, {\"cell\": \"0.87 (0.85, 0.89)\", \"bbox\": [220, 128, 271, 136]}, {\"cell\": \"0.83 (0.78, 0.89)\", \"bbox\": [292, 128, 343, 136]}, {\"cell\": \"0.87 (0.86, 0.89)\", \"bbox\": [361, 128, 412, 136]}, {\"cell\": \"0.85 (0.83, 0.86)\", \"bbox\": [430, 128, 481, 136]}, {\"cell\": \"Age groupf\", \"bbox\": [1, 140, 42, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0-4\", \"bbox\": [24, 155, 37, 165]}, {\"cell\": \"1 (-)\", \"bbox\": [82, 156, 99, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [151, 156, 168, 164]}, {\"cell\": \"1 (-)\", \"bbox\": [220, 156, 237, 164]}, {\"cell\": \"1 (-)\", \"bbox\": [292, 156, 309, 164]}, {\"cell\": \"1 (-)\", \"bbox\": [361, 156, 379, 164]}, {\"cell\": \"1 (-)\", \"bbox\": [430, 156, 448, 164]}, {\"cell\": \"5-8\", \"bbox\": [24, 169, 37, 179]}, {\"cell\": \"1.92 (1.46, 2.51)\", \"bbox\": [82, 169, 133, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [151, 169, 202, 178]}, {\"cell\": \"3.27 (1.97, 5.41)\", \"bbox\": [220, 169, 271, 178]}, {\"cell\": \"2.60 (1.87, 3.61)\", \"bbox\": [292, 169, 343, 178]}, {\"cell\": \"2.76 (1.70, 4.48)\", \"bbox\": [361, 169, 412, 178]}, {\"cell\": \"2.39 (1.51, 3.77)\", \"bbox\": [430, 169, 481, 178]}, {\"cell\": \"9-12\", \"bbox\": [24, 183, 42, 193]}, {\"cell\": \"1.04 (0.79, 1.37)\", \"bbox\": [82, 183, 133, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [151, 183, 202, 192]}, {\"cell\": \"6.06 (3.53, 10.4)\", \"bbox\": [220, 183, 271, 192]}, {\"cell\": \"1.86 (1.34, 2.59)\", \"bbox\": [292, 183, 343, 192]}, {\"cell\": \"4.28 (2.67, 6.86)\", \"bbox\": [361, 183, 412, 192]}, {\"cell\": \"4.73 (3.03, 7.40)\", \"bbox\": [430, 183, 481, 192]}, {\"cell\": \"13-16\", \"bbox\": [24, 197, 46, 207]}, {\"cell\": \"0.84 (0.63, 1.14)\", \"bbox\": [82, 197, 133, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [151, 197, 202, 206]}, {\"cell\": \"2.70 (1.82, 4.01)\", \"bbox\": [220, 197, 271, 206]}, {\"cell\": \"1.65 (1.16, 2.36)\", \"bbox\": [292, 197, 343, 206]}, {\"cell\": \"5.28 (3.26, 8.57)\", \"bbox\": [361, 197, 412, 206]}, {\"cell\": \"4.92 (3.11, 7.77)\", \"bbox\": [430, 197, 481, 206]}, {\"cell\": \">16\", \"bbox\": [24, 211, 40, 221]}, {\"cell\": \"0.23 (0.18, 0.30)\", \"bbox\": [82, 211, 133, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [151, 211, 202, 220]}, {\"cell\": \"1.04 (0.75, 1.45)\", \"bbox\": [220, 211, 271, 220]}, {\"cell\": \"0.34 (0.25, 0.47)\", \"bbox\": [292, 211, 343, 220]}, {\"cell\": \"1.56 (1.03, 2.36)\", \"bbox\": [361, 211, 412, 220]}, {\"cell\": \"1.84 (1.25, 2.72)\", \"bbox\": [430, 211, 481, 220]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4289390_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
FeatureVitamin A with zincVitamin A without zinc
(n=90)(n=94)
Age (months) at enrollment*[EMPTY_CELL]15.2±8.5
5–11†[EMPTY_CELL]40 (42.6)
12–23†[EMPTY_CELL]35 (37.2)
24–36†[EMPTY_CELL]19 (20.2)
Nutritional status‡[EMPTY_CELL][EMPTY_CELL]
Normal†[EMPTY_CELL]40 (42.6)
Stunted†[EMPTY_CELL]30 (31.9)
Wasted†[EMPTY_CELL]8 (8.5)
Wasted and stunted†[EMPTY_CELL]16 (17.0)
Gender[EMPTY_CELL][EMPTY_CELL]
Males†[EMPTY_CELL]47 (50.0)
Plasma zinc levels in μg/dL at baseline*[EMPTY_CELL]66.7±25.3
\", \"cells\": [{\"cell\": \"Feature\", \"bbox\": [5, 12, 37, 23]}, {\"cell\": \"Vitamin A with zinc\", \"bbox\": [213, 5, 298, 16]}, {\"cell\": \"Vitamin A without zinc\", \"bbox\": [342, 5, 437, 16]}, {\"cell\": \"(n=90)\", \"bbox\": [241, 19, 270, 30]}, {\"cell\": \"(n=94)\", \"bbox\": [375, 19, 404, 30]}, {\"cell\": \"Age (months) at enrollment*\", \"bbox\": [5, 32, 122, 44]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [237, 34, 275, 45]}, {\"cell\": \"15.2±8.5\", \"bbox\": [371, 34, 408, 45]}, {\"cell\": \"5–11†\", \"bbox\": [10, 46, 33, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [237, 46, 275, 58]}, {\"cell\": \"40 (42.6)\", \"bbox\": [370, 46, 409, 58]}, {\"cell\": \"12–23†\", \"bbox\": [10, 59, 38, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [237, 60, 275, 71]}, {\"cell\": \"35 (37.2)\", \"bbox\": [370, 60, 409, 71]}, {\"cell\": \"24–36†\", \"bbox\": [10, 72, 38, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [237, 73, 275, 84]}, {\"cell\": \"19 (20.2)\", \"bbox\": [370, 73, 409, 84]}, {\"cell\": \"Nutritional status‡\", \"bbox\": [5, 85, 79, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Normal†\", \"bbox\": [10, 99, 45, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [237, 99, 275, 110]}, {\"cell\": \"40 (42.6)\", \"bbox\": [370, 99, 409, 110]}, {\"cell\": \"Stunted†\", \"bbox\": [10, 112, 45, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [237, 112, 275, 123]}, {\"cell\": \"30 (31.9)\", \"bbox\": [370, 112, 409, 123]}, {\"cell\": \"Wasted†\", \"bbox\": [10, 125, 44, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [245, 125, 274, 136]}, {\"cell\": \"8 (8.5)\", \"bbox\": [380, 125, 408, 136]}, {\"cell\": \"Wasted and stunted†\", \"bbox\": [10, 138, 95, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [242, 139, 275, 150]}, {\"cell\": \"16 (17.0)\", \"bbox\": [370, 139, 409, 150]}, {\"cell\": \"Gender\", \"bbox\": [5, 150, 36, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Males†\", \"bbox\": [10, 161, 39, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [237, 161, 275, 172]}, {\"cell\": \"47 (50.0)\", \"bbox\": [370, 161, 409, 172]}, {\"cell\": \"Plasma zinc levels in μg/dL at baseline*\", \"bbox\": [5, 174, 171, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 175, 277, 186]}, {\"cell\": \"66.7±25.3\", \"bbox\": [368, 175, 411, 186]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3013264_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
CharacteristicVTD group (n = 30)Improved VTD group (n = 30)P value
Sex (male/female)18/12[EMPTY_CELL]0.793
Median age (years, range)54 (31–67)[EMPTY_CELL]0.712
Myeloma type[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
IgG12 (40%)[EMPTY_CELL]0.602
IgA9 (30%)[EMPTY_CELL]0.559
IgM2 (6.7%)[EMPTY_CELL]0.640
Light chain7 (23.3%)[EMPTY_CELL]0.754
ISS stage[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
I6 (20%)[EMPTY_CELL]1.000
II18 (60%)[EMPTY_CELL]0.436
III6 (20%)[EMPTY_CELL]0.371
Cytogenetics[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Diploid15 (50%)[EMPTY_CELL]0.605
Hyperdiploid6 (20%)[EMPTY_CELL]0.754
Nonhyperdiploid6 (20%)[EMPTY_CELL]0.542
Hypodiploid3 (10%)[EMPTY_CELL]0.640
Interphase FISH[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
t(4;14)15 (50%)[EMPTY_CELL]0.436
del(17p13)9 (30%)[EMPTY_CELL]0.184
t(11;14)6 (20%)[EMPTY_CELL]0.488
Hemoglobin (g/L)103 (71–144)[EMPTY_CELL]0.677
Albumin (g/L)37.5 (22–47)[EMPTY_CELL]0.820
β2 microglobulin (mg/L)3.9 (2.2–16.9)[EMPTY_CELL]0.754
Platelets (×109/L)243.4 (98.2–602.1)[EMPTY_CELL]0.501
Creatinine (mg/dL)1.6 (0.4–3.7)[EMPTY_CELL]0.835
\", \"cells\": [{\"cell\": \"Characteristic\", \"bbox\": [2, 8, 55, 19]}, {\"cell\": \"VTD group (n = 30)\", \"bbox\": [168, 6, 243, 21]}, {\"cell\": \"Improved VTD group (n = 30)\", \"bbox\": [323, 4, 404, 27]}, {\"cell\": \"P value \", \"bbox\": [470, 5, 499, 21]}, {\"cell\": \"Sex (male/female)\", \"bbox\": [2, 27, 69, 38]}, {\"cell\": \"18/12\", \"bbox\": [196, 28, 215, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [354, 28, 373, 39]}, {\"cell\": \"0.793\", \"bbox\": [474, 27, 495, 38]}, {\"cell\": \"Median age (years, range)\", \"bbox\": [2, 40, 96, 51]}, {\"cell\": \"54 (31–67)\", \"bbox\": [186, 41, 225, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [343, 41, 383, 52]}, {\"cell\": \"0.712\", \"bbox\": [474, 40, 494, 51]}, {\"cell\": \"Myeloma type\", \"bbox\": [2, 54, 56, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" IgG\", \"bbox\": [11, 67, 27, 78]}, {\"cell\": \"12 (40%)\", \"bbox\": [189, 68, 222, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [343, 68, 383, 78]}, {\"cell\": \"0.602\", \"bbox\": [474, 67, 495, 78]}, {\"cell\": \" IgA\", \"bbox\": [11, 80, 27, 91]}, {\"cell\": \"9 (30%)\", \"bbox\": [191, 81, 221, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 81, 381, 92]}, {\"cell\": \"0.559\", \"bbox\": [474, 80, 495, 91]}, {\"cell\": \" IgM\", \"bbox\": [11, 93, 28, 104]}, {\"cell\": \"2 (6.7%)\", \"bbox\": [190, 94, 221, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [349, 94, 378, 105]}, {\"cell\": \"0.640\", \"bbox\": [473, 93, 495, 104]}, {\"cell\": \" Light chain\", \"bbox\": [11, 107, 54, 117]}, {\"cell\": \"7 (23.3%)\", \"bbox\": [188, 108, 223, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [348, 108, 378, 118]}, {\"cell\": \"0.754\", \"bbox\": [474, 107, 495, 117]}, {\"cell\": \"ISS stage\", \"bbox\": [2, 120, 36, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" I\", \"bbox\": [11, 133, 17, 144]}, {\"cell\": \"6 (20%)\", \"bbox\": [191, 134, 221, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [348, 134, 378, 145]}, {\"cell\": \"1.000\", \"bbox\": [474, 133, 495, 144]}, {\"cell\": \" II\", \"bbox\": [11, 146, 20, 157]}, {\"cell\": \"18 (60%)\", \"bbox\": [189, 147, 222, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [347, 147, 380, 158]}, {\"cell\": \"0.436\", \"bbox\": [474, 146, 495, 157]}, {\"cell\": \" III\", \"bbox\": [11, 160, 23, 170]}, {\"cell\": \"6 (20%)\", \"bbox\": [190, 161, 221, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [348, 161, 378, 171]}, {\"cell\": \"0.371\", \"bbox\": [475, 160, 494, 170]}, {\"cell\": \"Cytogenetics\", \"bbox\": [2, 173, 51, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Diploid\", \"bbox\": [11, 186, 41, 197]}, {\"cell\": \"15 (50%)\", \"bbox\": [189, 187, 222, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 187, 383, 198]}, {\"cell\": \"0.605\", \"bbox\": [474, 186, 495, 197]}, {\"cell\": \" Hyperdiploid\", \"bbox\": [11, 200, 61, 210]}, {\"cell\": \"6 (20%)\", \"bbox\": [190, 200, 221, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 200, 381, 211]}, {\"cell\": \"0.754\", \"bbox\": [474, 200, 495, 210]}, {\"cell\": \" Nonhyperdiploid\", \"bbox\": [11, 213, 75, 223]}, {\"cell\": \"6 (20%)\", \"bbox\": [190, 214, 221, 224]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 214, 381, 224]}, {\"cell\": \"0.542\", \"bbox\": [474, 213, 495, 223]}, {\"cell\": \" Hypodiploid\", \"bbox\": [11, 226, 59, 237]}, {\"cell\": \"3 (10%)\", \"bbox\": [191, 227, 220, 238]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [347, 227, 379, 238]}, {\"cell\": \"0.640\", \"bbox\": [473, 226, 495, 237]}, {\"cell\": \"Interphase FISH\", \"bbox\": [2, 239, 63, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" t(4;14)\", \"bbox\": [11, 253, 36, 263]}, {\"cell\": \"15 (50%)\", \"bbox\": [189, 253, 222, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [347, 253, 380, 264]}, {\"cell\": \"0.436\", \"bbox\": [474, 253, 495, 263]}, {\"cell\": \" del(17p13)\", \"bbox\": [11, 266, 49, 276]}, {\"cell\": \"9 (30%)\", \"bbox\": [191, 267, 221, 277]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [343, 267, 383, 277]}, {\"cell\": \"0.184\", \"bbox\": [474, 266, 495, 276]}, {\"cell\": \" t(11;14)\", \"bbox\": [11, 279, 38, 290]}, {\"cell\": \"6 (20%)\", \"bbox\": [190, 280, 221, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [346, 280, 381, 291]}, {\"cell\": \"0.488\", \"bbox\": [474, 279, 495, 290]}, {\"cell\": \" Hemoglobin (g/L)\", \"bbox\": [11, 292, 79, 303]}, {\"cell\": \"103 (71–144)\", \"bbox\": [183, 293, 228, 304]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 293, 386, 304]}, {\"cell\": \"0.677\", \"bbox\": [474, 292, 495, 303]}, {\"cell\": \" Albumin (g/L)\", \"bbox\": [11, 306, 66, 316]}, {\"cell\": \"37.5 (22–47)\", \"bbox\": [183, 306, 228, 317]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [343, 306, 384, 317]}, {\"cell\": \"0.820\", \"bbox\": [474, 306, 495, 316]}, {\"cell\": \" β2 microglobulin (mg/L)\", \"bbox\": [11, 316, 103, 332]}, {\"cell\": \"3.9 (2.2–16.9)\", \"bbox\": [181, 320, 230, 330]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 320, 388, 330]}, {\"cell\": \"0.754\", \"bbox\": [474, 319, 495, 329]}, {\"cell\": \" Platelets (×109/L)\", \"bbox\": [11, 329, 75, 344]}, {\"cell\": \"243.4 (98.2–602.1)\", \"bbox\": [172, 333, 239, 344]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [331, 333, 396, 344]}, {\"cell\": \"0.501\", \"bbox\": [474, 332, 494, 343]}, {\"cell\": \" Creatinine (mg/dL)\", \"bbox\": [11, 345, 83, 356]}, {\"cell\": \"1.6 (0.4–3.7)\", \"bbox\": [183, 346, 228, 357]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [341, 346, 385, 357]}, {\"cell\": \"0.835\", \"bbox\": [474, 345, 495, 356]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4575715_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
CharacteristicEntire cohort (1963–2010) (n = 58442)Contemporary cohort (1996–2010) (n = 36884)
[EMPTY_CELL]0.54 (0.50-0.57)0.63 (0.57-0.69)
[EMPTY_CELL]0.40 (0.31-0.52)0.40 (0.28-0.57)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]ReferenceReference
[EMPTY_CELL]0.18 (0.07-0.47)0.26 (0.08-0.85)
[EMPTY_CELL]0.26 (0.13-0.52)0.33 (0.14-0.77)
[EMPTY_CELL]0.40 (0.18-0.92)0.37 (0.15-0.91)
[EMPTY_CELL]NS0.42 (0.15-1.15)
[EMPTY_CELL][EMPTY_CELL]NS
[EMPTY_CELL]0.36 (0.19-0.66)[EMPTY_CELL]
[EMPTY_CELL]0.55 (0.36-0.85)[EMPTY_CELL]
[EMPTY_CELL]0.53 (0.36- 0.80)[EMPTY_CELL]
[EMPTY_CELL]1.03 (0.69-1.51)[EMPTY_CELL]
[EMPTY_CELL]0.86 (0.57-1.28)[EMPTY_CELL]
[EMPTY_CELL]Reference[EMPTY_CELL]
[EMPTY_CELL]NANS
[EMPTY_CELL]NA0.13 (0.06-0.31)
[EMPTY_CELL]NANS
[EMPTY_CELL]NANS
[EMPTY_CELL]NANS
[EMPTY_CELL]NANS
[EMPTY_CELL]NANS
[EMPTY_CELL]NA3.72 (2.65-5.22)
\", \"cells\": [{\"cell\": \"Characteristic\", \"bbox\": [1, 4, 49, 13]}, {\"cell\": \"Entire cohort (1963–2010) (n = 58442)\", \"bbox\": [103, 4, 151, 31]}, {\"cell\": \"Contemporary cohort (1996–2010) (n = 36884)\", \"bbox\": [167, 4, 236, 31]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 35, 58, 45]}, {\"cell\": \"0.54 (0.50-0.57)\", \"bbox\": [102, 35, 152, 45]}, {\"cell\": \"0.63 (0.57-0.69)\", \"bbox\": [177, 35, 226, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 49, 43, 59]}, {\"cell\": \"0.40 (0.31-0.52)\", \"bbox\": [102, 49, 152, 59]}, {\"cell\": \"0.40 (0.28-0.57)\", \"bbox\": [177, 49, 226, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 63, 41, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 77, 42, 87]}, {\"cell\": \"Reference\", \"bbox\": [110, 77, 144, 87]}, {\"cell\": \"Reference\", \"bbox\": [185, 77, 218, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 91, 26, 101]}, {\"cell\": \"0.18 (0.07-0.47)\", \"bbox\": [102, 91, 152, 101]}, {\"cell\": \"0.26 (0.08-0.85)\", \"bbox\": [177, 91, 226, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 105, 24, 115]}, {\"cell\": \"0.26 (0.13-0.52)\", \"bbox\": [102, 105, 152, 115]}, {\"cell\": \"0.33 (0.14-0.77)\", \"bbox\": [177, 105, 226, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 119, 29, 129]}, {\"cell\": \"0.40 (0.18-0.92)\", \"bbox\": [102, 119, 152, 129]}, {\"cell\": \"0.37 (0.15-0.91)\", \"bbox\": [177, 119, 226, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 133, 30, 143]}, {\"cell\": \"NS\", \"bbox\": [122, 133, 132, 143]}, {\"cell\": \"0.42 (0.15-1.15)\", \"bbox\": [177, 133, 226, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 147, 26, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"NS\", \"bbox\": [196, 147, 207, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 161, 47, 171]}, {\"cell\": \"0.36 (0.19-0.66)\", \"bbox\": [102, 161, 152, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 175, 47, 185]}, {\"cell\": \"0.55 (0.36-0.85)\", \"bbox\": [102, 175, 152, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 189, 47, 199]}, {\"cell\": \"0.53 (0.36- 0.80)\", \"bbox\": [101, 189, 153, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 203, 47, 213]}, {\"cell\": \"1.03 (0.69-1.51)\", \"bbox\": [102, 203, 152, 213]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 217, 47, 227]}, {\"cell\": \"0.86 (0.57-1.28)\", \"bbox\": [102, 217, 152, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 231, 45, 241]}, {\"cell\": \"Reference\", \"bbox\": [110, 231, 144, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 245, 43, 255]}, {\"cell\": \"NA\", \"bbox\": [121, 245, 133, 255]}, {\"cell\": \"NS\", \"bbox\": [196, 245, 207, 255]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 259, 57, 269]}, {\"cell\": \"NA\", \"bbox\": [121, 259, 133, 269]}, {\"cell\": \"0.13 (0.06-0.31)\", \"bbox\": [177, 259, 226, 269]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 273, 69, 283]}, {\"cell\": \"NA\", \"bbox\": [121, 273, 133, 283]}, {\"cell\": \"NS\", \"bbox\": [196, 273, 207, 283]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 287, 77, 297]}, {\"cell\": \"NA\", \"bbox\": [121, 287, 133, 297]}, {\"cell\": \"NS\", \"bbox\": [196, 287, 207, 297]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 301, 87, 311]}, {\"cell\": \"NA\", \"bbox\": [121, 301, 133, 311]}, {\"cell\": \"NS\", \"bbox\": [196, 301, 207, 311]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 315, 79, 325]}, {\"cell\": \"NA\", \"bbox\": [121, 315, 133, 325]}, {\"cell\": \"NS\", \"bbox\": [196, 315, 207, 325]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 327, 41, 339]}, {\"cell\": \"NA\", \"bbox\": [121, 329, 133, 339]}, {\"cell\": \"NS\", \"bbox\": [196, 329, 207, 339]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 343, 40, 353]}, {\"cell\": \"NA\", \"bbox\": [121, 343, 133, 353]}, {\"cell\": \"3.72 (2.65-5.22)\", \"bbox\": [177, 343, 226, 353]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3544575_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Last Vaccine Dose (Manufacturer)No. of Horses (%)Vaccine Breakdown (%)No. of Days Since V2No. of Days Since V3 or Subsequent BoosterRepresentative H3N8 American Lineage Vaccine Strain
Duvaxyn IET Plus (Elanco Animal Health)43 (44%)13/43 (30%)124 (n = 1)276 ± 27.7 SE (n = 12)[EMPTY_CELL]
Equip FT (Zoetis)10 (10%)5/10 (50%)189 (n = 1)267 ± 51.2 SE (n = 4)[EMPTY_CELL]
Equilis Prequenza Te (MSD Animal Health)32 (33%)9/32 (28%)135 ± 33.5 SE (n = 2)217 ± 35.7 SE (n = 7)[EMPTY_CELL]
ProteqFlu Te (Merial)13 (13%)3/13 (23%)42 (n = 1)257 ± 95.5 SE (n = 2)[EMPTY_CELL]
Total/average9830/98 (31%)125 ± 25.9 SE (n = 5)261 ± 19.6 SE (n = 25)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Last Vaccine Dose (Manufacturer)\", \"bbox\": [15, 8, 75, 26]}, {\"cell\": \"No. of Horses (%)\", \"bbox\": [93, 8, 130, 26]}, {\"cell\": \"Vaccine Breakdown (%)\", \"bbox\": [141, 8, 193, 26]}, {\"cell\": \"No. of Days Since V2\", \"bbox\": [208, 8, 248, 26]}, {\"cell\": \"No. of Days Since V3 or Subsequent Booster\", \"bbox\": [262, 4, 333, 30]}, {\"cell\": \"Representative H3N8 American Lineage Vaccine Strain\", \"bbox\": [346, 4, 417, 30]}, {\"cell\": \"Duvaxyn IET Plus (Elanco Animal Health)\", \"bbox\": [7, 34, 83, 52]}, {\"cell\": \"43 (44%)\", \"bbox\": [102, 34, 121, 52]}, {\"cell\": \"13/43 (30%)\", \"bbox\": [157, 34, 177, 52]}, {\"cell\": \"124 (n = 1)\", \"bbox\": [217, 34, 239, 52]}, {\"cell\": \"276 ± 27.7 SE (n = 12)\", \"bbox\": [275, 34, 320, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [342, 38, 421, 47]}, {\"cell\": \"Equip FT (Zoetis)\", \"bbox\": [29, 51, 60, 69]}, {\"cell\": \"10 (10%)\", \"bbox\": [102, 51, 121, 69]}, {\"cell\": \"5/10 (50%)\", \"bbox\": [157, 51, 177, 69]}, {\"cell\": \"189 (n = 1)\", \"bbox\": [217, 51, 239, 69]}, {\"cell\": \"267 ± 51.2 SE (n = 4)\", \"bbox\": [275, 51, 320, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [349, 55, 414, 64]}, {\"cell\": \"Equilis Prequenza Te (MSD Animal Health)\", \"bbox\": [9, 68, 80, 86]}, {\"cell\": \"32 (33%)\", \"bbox\": [102, 68, 121, 86]}, {\"cell\": \"9/32 (28%)\", \"bbox\": [157, 68, 177, 86]}, {\"cell\": \"135 ± 33.5 SE (n = 2)\", \"bbox\": [206, 68, 250, 86]}, {\"cell\": \"217 ± 35.7 SE (n = 7)\", \"bbox\": [275, 68, 320, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [359, 68, 404, 86]}, {\"cell\": \"ProteqFlu Te (Merial)\", \"bbox\": [24, 86, 66, 103]}, {\"cell\": \"13 (13%)\", \"bbox\": [102, 86, 121, 103]}, {\"cell\": \"3/13 (23%)\", \"bbox\": [157, 86, 177, 103]}, {\"cell\": \"42 (n = 1)\", \"bbox\": [217, 86, 239, 103]}, {\"cell\": \"257 ± 95.5 SE (n = 2)\", \"bbox\": [275, 86, 320, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [354, 89, 409, 99]}, {\"cell\": \"Total/average\", \"bbox\": [22, 107, 68, 116]}, {\"cell\": \"98\", \"bbox\": [107, 107, 116, 116]}, {\"cell\": \"30/98 (31%)\", \"bbox\": [157, 103, 177, 121]}, {\"cell\": \"125 ± 25.9 SE (n = 5)\", \"bbox\": [206, 103, 250, 121]}, {\"cell\": \"261 ± 19.6 SE (n = 25)\", \"bbox\": [275, 103, 320, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC6027538_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Condom use/unprotected sexSTI/HIV incidence
(+)(−)ns (k < 20, B)b(+)(−)ns (k < 20, B)b
Mode of delivery dimensions
Duration[EMPTY_CELL]215 (4, 1)218 (4, 0)
Session number[EMPTY_CELL]17 (3, 0)003 (3, 0)
School setting[EMPTY_CELL]34 (1, 0)001 (1, 0)
Clinic setting[EMPTY_CELL]17 (3, 0)003 (3, 0)
Community setting[EMPTY_CELL]26 (1, 0)003 (3, 0)
Group delivery[EMPTY_CELL]28 (3, 0)003 (2, 0)
Communicator dimensions
Peer delivery[EMPTY_CELL]34 (1, 0)102 (2, 0)
Expert delivery[EMPTY_CELL]23 (0, 0)001 (1, 0)
Matched ethnicity[EMPTY_CELL]17 (1, 0)103 (2, 0)
Matched gender[EMPTY_CELL]04 (0, 0)003 (2, 0)
Similar age[EMPTY_CELL]05 (0, 0)–––
Content dimensions
Group targeting/tailoring[EMPTY_CELL]19 (2, 0)108 (4, 0)
Individual tailoring[EMPTY_CELL]47 (1, 1)005 (1, 0)
Formative research[EMPTY_CELL]24 (2, 0)101 (1, 0)
Theory-based[EMPTY_CELL]04 (2, 0)101 (1, 0)
Information[EMPTY_CELL]13 (0, 0)–––
Motivational enhancement[EMPTY_CELL]09 (1, 0)215 (2, 0)
Threat/fear induction[EMPTY_CELL]46 (3, 1)101 (1, 0)
Attitudinal arguments[EMPTY_CELL]24 (1, 1)003 (2, 0)
Normative arguments[EMPTY_CELL]46 (1, 0)002 (2, 0)
Address barriers[EMPTY_CELL]02 (0, 1)002 (1, 0)
Address self-efficacy[EMPTY_CELL]03 (2, 0)102 (2, 0)
Behavioral skills arguments[EMPTY_CELL]10 (0, 0)–––
Skills (mixed)[EMPTY_CELL]08 (4, 0)013 (1, 0)
Condom skills[EMPTY_CELL]17 (2, 1)104 (2, 0)
Intrapersonal skills[EMPTY_CELL]27 (2, 0)012 (1, 0)
Interpersonal skills[EMPTY_CELL]29 (3, 1)103 (1, 0)
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Condom use/unprotected sex\", \"bbox\": [135, 5, 237, 15]}, {\"cell\": \"STI/HIV incidence\", \"bbox\": [340, 5, 408, 15]}, {\"cell\": \"(+)\", \"bbox\": [135, 22, 148, 31]}, {\"cell\": \"(−)\", \"bbox\": [189, 22, 203, 31]}, {\"cell\": \"ns (k < 20, B)b\", \"bbox\": [244, 20, 299, 31]}, {\"cell\": \"(+)\", \"bbox\": [340, 22, 352, 31]}, {\"cell\": \"(−)\", \"bbox\": [389, 22, 403, 31]}, {\"cell\": \"ns (k < 20, B)b\", \"bbox\": [440, 20, 496, 31]}, {\"cell\": \"Mode of delivery dimensions\", \"bbox\": [0, 41, 102, 50]}, {\"cell\": \"Duration\", \"bbox\": [0, 53, 33, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 53, 142, 63]}, {\"cell\": \"2\", \"bbox\": [189, 53, 195, 63]}, {\"cell\": \"15 (4, 1)\", \"bbox\": [244, 53, 276, 63]}, {\"cell\": \"2\", \"bbox\": [340, 53, 346, 63]}, {\"cell\": \"1\", \"bbox\": [389, 53, 395, 63]}, {\"cell\": \"8 (4, 0)\", \"bbox\": [440, 53, 468, 63]}, {\"cell\": \"Session number\", \"bbox\": [0, 66, 57, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 66, 142, 76]}, {\"cell\": \"1\", \"bbox\": [189, 66, 195, 76]}, {\"cell\": \"7 (3, 0)\", \"bbox\": [248, 66, 276, 76]}, {\"cell\": \"0\", \"bbox\": [340, 66, 346, 76]}, {\"cell\": \"0\", \"bbox\": [389, 66, 395, 76]}, {\"cell\": \"3 (3, 0)\", \"bbox\": [440, 66, 468, 76]}, {\"cell\": \"School setting\", \"bbox\": [0, 79, 52, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 79, 142, 89]}, {\"cell\": \"3\", \"bbox\": [189, 79, 195, 89]}, {\"cell\": \"4 (1, 0)\", \"bbox\": [248, 79, 276, 89]}, {\"cell\": \"0\", \"bbox\": [340, 79, 346, 89]}, {\"cell\": \"0\", \"bbox\": [389, 79, 395, 89]}, {\"cell\": \"1 (1, 0)\", \"bbox\": [440, 79, 468, 89]}, {\"cell\": \"Clinic setting\", \"bbox\": [0, 92, 49, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 92, 142, 101]}, {\"cell\": \"1\", \"bbox\": [189, 92, 195, 101]}, {\"cell\": \"7 (3, 0)\", \"bbox\": [248, 92, 276, 101]}, {\"cell\": \"0\", \"bbox\": [340, 92, 346, 101]}, {\"cell\": \"0\", \"bbox\": [389, 92, 395, 101]}, {\"cell\": \"3 (3, 0)\", \"bbox\": [440, 92, 468, 101]}, {\"cell\": \"Community setting\", \"bbox\": [0, 104, 69, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 104, 142, 114]}, {\"cell\": \"2\", \"bbox\": [189, 104, 195, 114]}, {\"cell\": \"6 (1, 0)\", \"bbox\": [248, 104, 276, 114]}, {\"cell\": \"0\", \"bbox\": [340, 104, 346, 114]}, {\"cell\": \"0\", \"bbox\": [389, 104, 395, 114]}, {\"cell\": \"3 (3, 0)\", \"bbox\": [440, 104, 468, 114]}, {\"cell\": \"Group delivery\", \"bbox\": [0, 117, 55, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 117, 142, 127]}, {\"cell\": \"2\", \"bbox\": [189, 117, 195, 127]}, {\"cell\": \"8 (3, 0)\", \"bbox\": [248, 117, 276, 127]}, {\"cell\": \"0\", \"bbox\": [340, 117, 346, 127]}, {\"cell\": \"0\", \"bbox\": [389, 117, 395, 127]}, {\"cell\": \"3 (2, 0)\", \"bbox\": [440, 117, 468, 127]}, {\"cell\": \"Communicator dimensions\", \"bbox\": [0, 130, 94, 140]}, {\"cell\": \"Peer delivery\", \"bbox\": [0, 143, 48, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 143, 142, 152]}, {\"cell\": \"3\", \"bbox\": [189, 143, 195, 152]}, {\"cell\": \"4 (1, 0)\", \"bbox\": [248, 143, 276, 152]}, {\"cell\": \"1\", \"bbox\": [340, 143, 346, 152]}, {\"cell\": \"0\", \"bbox\": [389, 143, 395, 152]}, {\"cell\": \"2 (2, 0)\", \"bbox\": [440, 143, 468, 152]}, {\"cell\": \"Expert delivery\", \"bbox\": [0, 155, 56, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 155, 142, 165]}, {\"cell\": \"2\", \"bbox\": [189, 155, 195, 165]}, {\"cell\": \"3 (0, 0)\", \"bbox\": [248, 155, 276, 165]}, {\"cell\": \"0\", \"bbox\": [340, 155, 346, 165]}, {\"cell\": \"0\", \"bbox\": [389, 155, 395, 165]}, {\"cell\": \"1 (1, 0)\", \"bbox\": [440, 155, 468, 165]}, {\"cell\": \"Matched ethnicity\", \"bbox\": [0, 168, 65, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 168, 142, 178]}, {\"cell\": \"1\", \"bbox\": [189, 168, 195, 178]}, {\"cell\": \"7 (1, 0)\", \"bbox\": [248, 168, 276, 178]}, {\"cell\": \"1\", \"bbox\": [340, 168, 346, 178]}, {\"cell\": \"0\", \"bbox\": [389, 168, 395, 178]}, {\"cell\": \"3 (2, 0)\", \"bbox\": [440, 168, 468, 178]}, {\"cell\": \"Matched gender\", \"bbox\": [0, 181, 58, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 181, 142, 191]}, {\"cell\": \"0\", \"bbox\": [189, 181, 195, 191]}, {\"cell\": \"4 (0, 0)\", \"bbox\": [248, 181, 276, 191]}, {\"cell\": \"0\", \"bbox\": [340, 181, 346, 191]}, {\"cell\": \"0\", \"bbox\": [389, 181, 395, 191]}, {\"cell\": \"3 (2, 0)\", \"bbox\": [440, 181, 468, 191]}, {\"cell\": \"Similar age\", \"bbox\": [0, 194, 42, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 194, 142, 203]}, {\"cell\": \"0\", \"bbox\": [189, 194, 195, 203]}, {\"cell\": \"5 (0, 0)\", \"bbox\": [248, 194, 276, 203]}, {\"cell\": \"–\", \"bbox\": [340, 194, 346, 203]}, {\"cell\": \"–\", \"bbox\": [389, 194, 395, 203]}, {\"cell\": \"–\", \"bbox\": [462, 194, 468, 203]}, {\"cell\": \"Content dimensions\", \"bbox\": [0, 206, 70, 216]}, {\"cell\": \"Group targeting/tailoring\", \"bbox\": [0, 219, 88, 229]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 219, 142, 229]}, {\"cell\": \"1\", \"bbox\": [189, 219, 195, 229]}, {\"cell\": \"9 (2, 0)\", \"bbox\": [248, 219, 276, 229]}, {\"cell\": \"1\", \"bbox\": [340, 219, 346, 229]}, {\"cell\": \"0\", \"bbox\": [389, 219, 395, 229]}, {\"cell\": \"8 (4, 0)\", \"bbox\": [440, 219, 468, 229]}, {\"cell\": \"Individual tailoring\", \"bbox\": [0, 232, 69, 242]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 232, 142, 242]}, {\"cell\": \"4\", \"bbox\": [189, 232, 195, 242]}, {\"cell\": \"7 (1, 1)\", \"bbox\": [248, 232, 276, 242]}, {\"cell\": \"0\", \"bbox\": [340, 232, 346, 242]}, {\"cell\": \"0\", \"bbox\": [389, 232, 395, 242]}, {\"cell\": \"5 (1, 0)\", \"bbox\": [440, 232, 468, 242]}, {\"cell\": \"Formative research\", \"bbox\": [0, 245, 69, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 245, 142, 254]}, {\"cell\": \"2\", \"bbox\": [189, 245, 195, 254]}, {\"cell\": \"4 (2, 0)\", \"bbox\": [248, 245, 276, 254]}, {\"cell\": \"1\", \"bbox\": [340, 245, 346, 254]}, {\"cell\": \"0\", \"bbox\": [389, 245, 395, 254]}, {\"cell\": \"1 (1, 0)\", \"bbox\": [440, 245, 468, 254]}, {\"cell\": \"Theory-based\", \"bbox\": [0, 257, 49, 267]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 257, 142, 267]}, {\"cell\": \"0\", \"bbox\": [189, 257, 195, 267]}, {\"cell\": \"4 (2, 0)\", \"bbox\": [248, 257, 276, 267]}, {\"cell\": \"1\", \"bbox\": [340, 257, 346, 267]}, {\"cell\": \"0\", \"bbox\": [389, 257, 395, 267]}, {\"cell\": \"1 (1, 0)\", \"bbox\": [440, 257, 468, 267]}, {\"cell\": \"Information\", \"bbox\": [0, 270, 43, 280]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 270, 142, 280]}, {\"cell\": \"1\", \"bbox\": [189, 270, 195, 280]}, {\"cell\": \"3 (0, 0)\", \"bbox\": [248, 270, 276, 280]}, {\"cell\": \"–\", \"bbox\": [340, 270, 346, 280]}, {\"cell\": \"–\", \"bbox\": [389, 270, 395, 280]}, {\"cell\": \"–\", \"bbox\": [462, 270, 468, 280]}, {\"cell\": \"Motivational enhancement\", \"bbox\": [0, 283, 94, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 283, 142, 293]}, {\"cell\": \"0\", \"bbox\": [189, 283, 195, 293]}, {\"cell\": \"9 (1, 0)\", \"bbox\": [248, 283, 276, 293]}, {\"cell\": \"2\", \"bbox\": [340, 283, 346, 293]}, {\"cell\": \"1\", \"bbox\": [389, 283, 395, 293]}, {\"cell\": \"5 (2, 0)\", \"bbox\": [440, 283, 468, 293]}, {\"cell\": \"Threat/fear induction\", \"bbox\": [0, 296, 75, 305]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 296, 142, 305]}, {\"cell\": \"4\", \"bbox\": [189, 296, 195, 305]}, {\"cell\": \"6 (3, 1)\", \"bbox\": [248, 296, 276, 305]}, {\"cell\": \"1\", \"bbox\": [340, 296, 346, 305]}, {\"cell\": \"0\", \"bbox\": [389, 296, 395, 305]}, {\"cell\": \"1 (1, 0)\", \"bbox\": [440, 296, 468, 305]}, {\"cell\": \"Attitudinal arguments\", \"bbox\": [0, 308, 78, 318]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 308, 142, 318]}, {\"cell\": \"2\", \"bbox\": [189, 308, 195, 318]}, {\"cell\": \"4 (1, 1)\", \"bbox\": [248, 308, 276, 318]}, {\"cell\": \"0\", \"bbox\": [340, 308, 346, 318]}, {\"cell\": \"0\", \"bbox\": [389, 308, 395, 318]}, {\"cell\": \"3 (2, 0)\", \"bbox\": [440, 308, 468, 318]}, {\"cell\": \"Normative arguments\", \"bbox\": [0, 321, 77, 331]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 321, 142, 331]}, {\"cell\": \"4\", \"bbox\": [189, 321, 195, 331]}, {\"cell\": \"6 (1, 0)\", \"bbox\": [248, 321, 276, 331]}, {\"cell\": \"0\", \"bbox\": [340, 321, 346, 331]}, {\"cell\": \"0\", \"bbox\": [389, 321, 395, 331]}, {\"cell\": \"2 (2, 0)\", \"bbox\": [440, 321, 468, 331]}, {\"cell\": \"Address barriers\", \"bbox\": [0, 334, 59, 344]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 334, 142, 344]}, {\"cell\": \"0\", \"bbox\": [189, 334, 195, 344]}, {\"cell\": \"2 (0, 1)\", \"bbox\": [248, 334, 276, 344]}, {\"cell\": \"0\", \"bbox\": [340, 334, 346, 344]}, {\"cell\": \"0\", \"bbox\": [389, 334, 395, 344]}, {\"cell\": \"2 (1, 0)\", \"bbox\": [440, 334, 468, 344]}, {\"cell\": \"Address self-efficacy\", \"bbox\": [0, 347, 75, 356]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 347, 142, 356]}, {\"cell\": \"0\", \"bbox\": [189, 347, 195, 356]}, {\"cell\": \"3 (2, 0)\", \"bbox\": [248, 347, 276, 356]}, {\"cell\": \"1\", \"bbox\": [340, 347, 346, 356]}, {\"cell\": \"0\", \"bbox\": [389, 347, 395, 356]}, {\"cell\": \"2 (2, 0)\", \"bbox\": [440, 347, 468, 356]}, {\"cell\": \"Behavioral skills arguments\", \"bbox\": [0, 359, 99, 369]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 359, 142, 369]}, {\"cell\": \"1\", \"bbox\": [189, 359, 195, 369]}, {\"cell\": \"0 (0, 0)\", \"bbox\": [248, 359, 276, 369]}, {\"cell\": \"–\", \"bbox\": [340, 359, 346, 369]}, {\"cell\": \"–\", \"bbox\": [389, 359, 395, 369]}, {\"cell\": \"–\", \"bbox\": [462, 359, 468, 369]}, {\"cell\": \"Skills (mixed)\", \"bbox\": [0, 372, 52, 382]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 372, 142, 382]}, {\"cell\": \"0\", \"bbox\": [189, 372, 195, 382]}, {\"cell\": \"8 (4, 0)\", \"bbox\": [248, 372, 276, 382]}, {\"cell\": \"0\", \"bbox\": [340, 372, 346, 382]}, {\"cell\": \"1\", \"bbox\": [389, 372, 395, 382]}, {\"cell\": \"3 (1, 0)\", \"bbox\": [440, 372, 468, 382]}, {\"cell\": \"Condom skills\", \"bbox\": [0, 385, 52, 395]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 385, 142, 395]}, {\"cell\": \"1\", \"bbox\": [189, 385, 195, 395]}, {\"cell\": \"7 (2, 1)\", \"bbox\": [248, 385, 276, 395]}, {\"cell\": \"1\", \"bbox\": [340, 385, 346, 395]}, {\"cell\": \"0\", \"bbox\": [389, 385, 395, 395]}, {\"cell\": \"4 (2, 0)\", \"bbox\": [440, 385, 468, 395]}, {\"cell\": \"Intrapersonal skills\", \"bbox\": [0, 398, 68, 407]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 398, 142, 407]}, {\"cell\": \"2\", \"bbox\": [189, 398, 195, 407]}, {\"cell\": \"7 (2, 0)\", \"bbox\": [248, 398, 276, 407]}, {\"cell\": \"0\", \"bbox\": [340, 398, 346, 407]}, {\"cell\": \"1\", \"bbox\": [389, 398, 395, 407]}, {\"cell\": \"2 (1, 0)\", \"bbox\": [440, 398, 468, 407]}, {\"cell\": \"Interpersonal skills\", \"bbox\": [0, 410, 68, 420]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 410, 142, 420]}, {\"cell\": \"2\", \"bbox\": [189, 410, 195, 420]}, {\"cell\": \"9 (3, 1)\", \"bbox\": [248, 410, 276, 420]}, {\"cell\": \"1\", \"bbox\": [340, 410, 346, 420]}, {\"cell\": \"0\", \"bbox\": [389, 410, 395, 420]}, {\"cell\": \"3 (1, 0)\", \"bbox\": [440, 410, 468, 420]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4853449_009_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]SmokingOverweight
[EMPTY_CELL]AllaAge < 65Age ≥ 65[EMPTY_CELL]
n63,88836,97526,913[EMPTY_CELL]
FDep
Quintile 1 [ref.]–––[EMPTY_CELL]
20.90 (0.86; 0.94)0.96 (0.90; 1.02)0.83 (0.77; 0.89)[EMPTY_CELL]
30.89 (0.85; 0.93)0.94 (0.88; 1.00)0.83 (0.78; 0.89)[EMPTY_CELL]
40.85 (0.81; 0.90)0.94 (0.88; 1.01)0.74 (0.68; 0.80)[EMPTY_CELL]
50.80 (0.75; 0.84)0.84 (0.78; 0.91)0.74 (0.68; 0.81)[EMPTY_CELL]
p-value for trend<0.0001<0.0001<0.0001[EMPTY_CELL]
FEDI
Quintile 1 [ref.]–––[EMPTY_CELL]
21.05 (1.00; 1.10)1.05 (0.99; 1.12)1.05 (0.97; 1.13)[EMPTY_CELL]
31.01 (0.96; 1.06)1.06 (1.00; 1.13)0.94 (0.87; 1.01)[EMPTY_CELL]
41.02 (0.98; 1.08)1.06 (1.00; 1.13)0.97 (0.90; 1.05)[EMPTY_CELL]
51.04 (0.98; 1.10)1.07 (0.99; 1.16)0.99 (0.90; 1.08)[EMPTY_CELL]
p-value for trend0.450.040.21[EMPTY_CELL]
Townsend
Quintile 1 [ref.]–––[EMPTY_CELL]
20.99 (0.94; 1.04)1.00 (0.94; 1.06)0.98 (0.90; 1.06)[EMPTY_CELL]
31.01 (0.96; 1.06)1.02 (0.96; 1.08)1.00 (0.92; 1.08)[EMPTY_CELL]
41.07 (1.01; 1.13)1.13 (1.05; 1.21)1.00 (0.92; 1.08)[EMPTY_CELL]
51.39 (1.31; 1.48)1.41 (1.30; 1.53)1.35 (1.23; 1.49)[EMPTY_CELL]
p-value for trend<0.0001<0.0001<0.0001[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Smoking\", \"bbox\": [113, 4, 143, 13]}, {\"cell\": \"Overweight\", \"bbox\": [434, 4, 473, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Alla\", \"bbox\": [113, 15, 125, 27]}, {\"cell\": \"Age < 65\", \"bbox\": [220, 17, 250, 27]}, {\"cell\": \"Age ≥ 65\", \"bbox\": [327, 17, 358, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 15, 446, 27]}, {\"cell\": \"n\", \"bbox\": [1, 31, 7, 41]}, {\"cell\": \"63,888\", \"bbox\": [113, 31, 135, 41]}, {\"cell\": \"36,975\", \"bbox\": [220, 31, 242, 41]}, {\"cell\": \"26,913\", \"bbox\": [327, 31, 349, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 31, 456, 41]}, {\"cell\": \"FDep\", \"bbox\": [1, 45, 19, 55]}, {\"cell\": \"Quintile 1 [ref.]\", \"bbox\": [1, 59, 50, 69]}, {\"cell\": \"–\", \"bbox\": [113, 63, 119, 67]}, {\"cell\": \"–\", \"bbox\": [220, 63, 226, 67]}, {\"cell\": \"–\", \"bbox\": [327, 63, 333, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 63, 440, 67]}, {\"cell\": \"2\", \"bbox\": [1, 73, 6, 83]}, {\"cell\": \"0.90 (0.86; 0.94)\", \"bbox\": [113, 73, 164, 83]}, {\"cell\": \"0.96 (0.90; 1.02)\", \"bbox\": [220, 73, 270, 83]}, {\"cell\": \"0.83 (0.77; 0.89)\", \"bbox\": [327, 73, 377, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 73, 484, 83]}, {\"cell\": \"3\", \"bbox\": [1, 87, 6, 97]}, {\"cell\": \"0.89 (0.85; 0.93)\", \"bbox\": [113, 87, 164, 97]}, {\"cell\": \"0.94 (0.88; 1.00)\", \"bbox\": [220, 87, 270, 97]}, {\"cell\": \"0.83 (0.78; 0.89)\", \"bbox\": [327, 87, 377, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 87, 484, 97]}, {\"cell\": \"4\", \"bbox\": [1, 101, 6, 111]}, {\"cell\": \"0.85 (0.81; 0.90)\", \"bbox\": [113, 101, 164, 111]}, {\"cell\": \"0.94 (0.88; 1.01)\", \"bbox\": [220, 101, 270, 111]}, {\"cell\": \"0.74 (0.68; 0.80)\", \"bbox\": [327, 101, 377, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 101, 484, 111]}, {\"cell\": \"5\", \"bbox\": [1, 115, 6, 125]}, {\"cell\": \"0.80 (0.75; 0.84)\", \"bbox\": [113, 115, 164, 125]}, {\"cell\": \"0.84 (0.78; 0.91)\", \"bbox\": [220, 115, 270, 125]}, {\"cell\": \"0.74 (0.68; 0.81)\", \"bbox\": [327, 115, 377, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 115, 484, 125]}, {\"cell\": \"p-value for trend\", \"bbox\": [1, 129, 57, 139]}, {\"cell\": \"<0.0001\", \"bbox\": [113, 129, 140, 139]}, {\"cell\": \"<0.0001\", \"bbox\": [220, 129, 247, 139]}, {\"cell\": \"<0.0001\", \"bbox\": [327, 129, 354, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 129, 461, 139]}, {\"cell\": \"FEDI\", \"bbox\": [1, 143, 17, 153]}, {\"cell\": \"Quintile 1 [ref.]\", \"bbox\": [1, 157, 50, 167]}, {\"cell\": \"–\", \"bbox\": [113, 161, 119, 165]}, {\"cell\": \"–\", \"bbox\": [220, 161, 226, 165]}, {\"cell\": \"–\", \"bbox\": [327, 161, 333, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 161, 440, 165]}, {\"cell\": \"2\", \"bbox\": [1, 171, 6, 181]}, {\"cell\": \"1.05 (1.00; 1.10)\", \"bbox\": [113, 171, 164, 181]}, {\"cell\": \"1.05 (0.99; 1.12)\", \"bbox\": [220, 171, 270, 181]}, {\"cell\": \"1.05 (0.97; 1.13)\", \"bbox\": [327, 171, 377, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 171, 484, 181]}, {\"cell\": \"3\", \"bbox\": [1, 185, 6, 195]}, {\"cell\": \"1.01 (0.96; 1.06)\", \"bbox\": [113, 185, 164, 195]}, {\"cell\": \"1.06 (1.00; 1.13)\", \"bbox\": [220, 185, 270, 195]}, {\"cell\": \"0.94 (0.87; 1.01)\", \"bbox\": [327, 185, 377, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 185, 484, 195]}, {\"cell\": \"4\", \"bbox\": [1, 199, 6, 209]}, {\"cell\": \"1.02 (0.98; 1.08)\", \"bbox\": [113, 199, 164, 209]}, {\"cell\": \"1.06 (1.00; 1.13)\", \"bbox\": [220, 199, 270, 209]}, {\"cell\": \"0.97 (0.90; 1.05)\", \"bbox\": [327, 199, 377, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 199, 484, 209]}, {\"cell\": \"5\", \"bbox\": [1, 213, 6, 223]}, {\"cell\": \"1.04 (0.98; 1.10)\", \"bbox\": [113, 213, 164, 223]}, {\"cell\": \"1.07 (0.99; 1.16)\", \"bbox\": [220, 213, 270, 223]}, {\"cell\": \"0.99 (0.90; 1.08)\", \"bbox\": [327, 213, 377, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 213, 484, 223]}, {\"cell\": \"p-value for trend\", \"bbox\": [1, 227, 57, 237]}, {\"cell\": \"0.45\", \"bbox\": [113, 227, 128, 237]}, {\"cell\": \"0.04\", \"bbox\": [220, 227, 235, 237]}, {\"cell\": \"0.21\", \"bbox\": [327, 227, 342, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 227, 461, 237]}, {\"cell\": \"Townsend\", \"bbox\": [1, 241, 36, 251]}, {\"cell\": \"Quintile 1 [ref.]\", \"bbox\": [1, 255, 50, 265]}, {\"cell\": \"–\", \"bbox\": [113, 259, 119, 263]}, {\"cell\": \"–\", \"bbox\": [220, 259, 226, 263]}, {\"cell\": \"–\", \"bbox\": [327, 259, 333, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 259, 440, 263]}, {\"cell\": \"2\", \"bbox\": [1, 269, 6, 279]}, {\"cell\": \"0.99 (0.94; 1.04)\", \"bbox\": [113, 269, 164, 279]}, {\"cell\": \"1.00 (0.94; 1.06)\", \"bbox\": [220, 269, 270, 279]}, {\"cell\": \"0.98 (0.90; 1.06)\", \"bbox\": [327, 269, 377, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 269, 484, 279]}, {\"cell\": \"3\", \"bbox\": [1, 283, 6, 293]}, {\"cell\": \"1.01 (0.96; 1.06)\", \"bbox\": [113, 283, 164, 293]}, {\"cell\": \"1.02 (0.96; 1.08)\", \"bbox\": [220, 283, 270, 293]}, {\"cell\": \"1.00 (0.92; 1.08)\", \"bbox\": [327, 283, 377, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 283, 484, 293]}, {\"cell\": \"4\", \"bbox\": [1, 297, 6, 307]}, {\"cell\": \"1.07 (1.01; 1.13)\", \"bbox\": [113, 297, 164, 307]}, {\"cell\": \"1.13 (1.05; 1.21)\", \"bbox\": [220, 297, 270, 307]}, {\"cell\": \"1.00 (0.92; 1.08)\", \"bbox\": [327, 297, 377, 307]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 297, 484, 307]}, {\"cell\": \"5\", \"bbox\": [1, 311, 6, 321]}, {\"cell\": \"1.39 (1.31; 1.48)\", \"bbox\": [113, 311, 164, 321]}, {\"cell\": \"1.41 (1.30; 1.53)\", \"bbox\": [220, 311, 270, 321]}, {\"cell\": \"1.35 (1.23; 1.49)\", \"bbox\": [327, 311, 377, 321]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 311, 484, 321]}, {\"cell\": \"p-value for trend\", \"bbox\": [1, 325, 57, 335]}, {\"cell\": \"<0.0001\", \"bbox\": [113, 325, 140, 335]}, {\"cell\": \"<0.0001\", \"bbox\": [220, 325, 247, 335]}, {\"cell\": \"<0.0001\", \"bbox\": [327, 325, 354, 335]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 325, 452, 335]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5732455_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
CharacteristicNumberProportion (%)
Age group (years)[EMPTY_CELL][EMPTY_CELL]
18–44[EMPTY_CELL]33.3
45–64[EMPTY_CELL]53.0
≥65[EMPTY_CELL]13.8
Gender[EMPTY_CELL][EMPTY_CELL]
Male[EMPTY_CELL]47.6
Female[EMPTY_CELL]52.4
Residence location[EMPTY_CELL][EMPTY_CELL]
Urban[EMPTY_CELL]46.5
Rural[EMPTY_CELL]53.5
Education groups[EMPTY_CELL][EMPTY_CELL]
≤6 years[EMPTY_CELL]57.6
>6 years[EMPTY_CELL]42.4
Annual family income(USD)[EMPTY_CELL][EMPTY_CELL]
≤1,999[EMPTY_CELL]46.9
2,000–3,999[EMPTY_CELL]28.2
≥4,000[EMPTY_CELL]24.9
Hypertension[EMPTY_CELL]45.1
Diabetes mellitus[EMPTY_CELL]10.3
Hyperlipidedmia[EMPTY_CELL]55.0
BMI group (kg/m2)[EMPTY_CELL][EMPTY_CELL]
<18.5 (underweight)[EMPTY_CELL]3.0
18.5–24.9 (normal)[EMPTY_CELL]63.7
≥25–29.9 (over weight)[EMPTY_CELL]30
≥30 (obesity)[EMPTY_CELL]3.3
\", \"cells\": [{\"cell\": \"Characteristic\", \"bbox\": [1, 8, 52, 18]}, {\"cell\": \"Number\", \"bbox\": [124, 8, 154, 18]}, {\"cell\": \"Proportion (%)\", \"bbox\": [178, 8, 233, 18]}, {\"cell\": \"Age group (years)\", \"bbox\": [1, 28, 66, 37]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 18–44\", \"bbox\": [8, 39, 33, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 39, 147, 49]}, {\"cell\": \"33.3\", \"bbox\": [197, 39, 214, 49]}, {\"cell\": \" 45–64\", \"bbox\": [8, 51, 33, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 51, 147, 61]}, {\"cell\": \"53.0\", \"bbox\": [197, 51, 214, 61]}, {\"cell\": \" ≥65\", \"bbox\": [9, 63, 28, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 63, 147, 73]}, {\"cell\": \"13.8\", \"bbox\": [197, 63, 214, 73]}, {\"cell\": \"Gender\", \"bbox\": [1, 75, 29, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Male\", \"bbox\": [8, 87, 28, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 87, 147, 97]}, {\"cell\": \"47.6\", \"bbox\": [197, 87, 214, 97]}, {\"cell\": \" Female\", \"bbox\": [8, 99, 36, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 99, 147, 109]}, {\"cell\": \"52.4\", \"bbox\": [197, 99, 214, 109]}, {\"cell\": \"Residence location\", \"bbox\": [1, 111, 71, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Urban\", \"bbox\": [8, 123, 32, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 123, 147, 133]}, {\"cell\": \"46.5\", \"bbox\": [197, 123, 214, 133]}, {\"cell\": \" Rural\", \"bbox\": [8, 135, 29, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 135, 147, 145]}, {\"cell\": \"53.5\", \"bbox\": [197, 135, 214, 145]}, {\"cell\": \"Education groups\", \"bbox\": [1, 147, 66, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" ≤6 years\", \"bbox\": [9, 159, 46, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 159, 147, 169]}, {\"cell\": \"57.6\", \"bbox\": [197, 159, 214, 169]}, {\"cell\": \" >6 years\", \"bbox\": [9, 171, 46, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 171, 147, 180]}, {\"cell\": \"42.4\", \"bbox\": [197, 171, 214, 180]}, {\"cell\": \"Annual family income(USD)\", \"bbox\": [1, 183, 100, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" ≤1,999\", \"bbox\": [9, 195, 39, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 195, 147, 204]}, {\"cell\": \"46.9\", \"bbox\": [197, 195, 214, 204]}, {\"cell\": \" 2,000–3,999\", \"bbox\": [8, 207, 55, 216]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 207, 147, 216]}, {\"cell\": \"28.2\", \"bbox\": [197, 207, 214, 216]}, {\"cell\": \" ≥4,000\", \"bbox\": [9, 219, 39, 228]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 219, 147, 228]}, {\"cell\": \"24.9\", \"bbox\": [197, 219, 214, 228]}, {\"cell\": \"Hypertension\", \"bbox\": [1, 231, 50, 240]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 231, 147, 240]}, {\"cell\": \"45.1\", \"bbox\": [197, 231, 214, 240]}, {\"cell\": \"Diabetes mellitus\", \"bbox\": [1, 243, 64, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 243, 147, 252]}, {\"cell\": \"10.3\", \"bbox\": [197, 243, 214, 252]}, {\"cell\": \"Hyperlipidedmia\", \"bbox\": [1, 255, 60, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 255, 147, 264]}, {\"cell\": \"55.0\", \"bbox\": [197, 255, 214, 264]}, {\"cell\": \"BMI group (kg/m2)\", \"bbox\": [1, 265, 69, 276]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" <18.5 (underweight)\", \"bbox\": [9, 279, 85, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [134, 279, 145, 288]}, {\"cell\": \"3.0\", \"bbox\": [199, 279, 212, 288]}, {\"cell\": \" 18.5–24.9 (normal)\", \"bbox\": [8, 291, 77, 300]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [128, 291, 150, 300]}, {\"cell\": \"63.7\", \"bbox\": [197, 291, 214, 300]}, {\"cell\": \" ≥25–29.9 (over weight)\", \"bbox\": [9, 303, 97, 312]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 303, 147, 312]}, {\"cell\": \"30\", \"bbox\": [200, 303, 211, 312]}, {\"cell\": \" ≥30 (obesity)\", \"bbox\": [9, 314, 61, 324]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [134, 314, 145, 324]}, {\"cell\": \"3.3\", \"bbox\": [199, 314, 212, 324]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4090366_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Host factorsBiological functionsType of resistancePositive or negative RolesReference
GmHSP90, GmRARlDefense signalingRsvl-mediatedPositive[EMPTY_CELL]
GmSGTl, GmEDSl, GmEDRl, GmJARl,[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
GmPAD4, GmWRKY6, GmWRKY30[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
GmMPK4Defense signalingBasalNegative[EMPTY_CELL]
GmMPK6Defense signalingBasalPositive/negative[EMPTY_CELL]
GmHSP40.1Co-chaperoneBasalPositive[EMPTY_CELL]
GmPP2CABA signalingRsv3-mediatedPositive[EMPTY_CELL]
GmAKT2K+ channelBasalPositive[EMPTY_CELL]
GmCNXlMoco biosynthesisBasalPositive[EMPTY_CELL]
GmelF5ATranslation initiationflsi/3-mediatedPositive[EMPTY_CELL]
GmeEFlaTranslation elongationBasalNegative[EMPTY_CELL]
GmAGOlGene silencingSilencing-mediatedPositive[EMPTY_CELL]
GmSGS3Gene silencingSilencing-mediatedPositive[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Host factors\", \"bbox\": [1, 6, 44, 15]}, {\"cell\": \"Biological functions\", \"bbox\": [106, 6, 174, 15]}, {\"cell\": \"Type of resistance\", \"bbox\": [211, 6, 274, 15]}, {\"cell\": \"Positive or negative Roles\", \"bbox\": [312, 6, 401, 15]}, {\"cell\": \"Reference\", \"bbox\": [453, 6, 489, 15]}, {\"cell\": \"GmHSP90, GmRARl\", \"bbox\": [1, 23, 65, 32]}, {\"cell\": \"Defense signaling\", \"bbox\": [112, 23, 167, 32]}, {\"cell\": \"Rsvl-mediated\", \"bbox\": [220, 23, 265, 32]}, {\"cell\": \"Positive\", \"bbox\": [344, 23, 369, 32]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [447, 23, 495, 32]}, {\"cell\": \"GmSGTl, GmEDSl, GmEDRl, GmJARl,\", \"bbox\": [1, 35, 60, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 35, 500, 43]}, {\"cell\": \"GmPAD4, GmWRKY6, GmWRKY30\", \"bbox\": [1, 56, 71, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"GmMPK4\", \"bbox\": [1, 76, 32, 85]}, {\"cell\": \"Defense signaling\", \"bbox\": [112, 76, 167, 85]}, {\"cell\": \"Basal\", \"bbox\": [233, 76, 252, 85]}, {\"cell\": \"Negative\", \"bbox\": [342, 76, 371, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 76, 494, 85]}, {\"cell\": \"GmMPK6\", \"bbox\": [1, 88, 32, 96]}, {\"cell\": \"Defense signaling\", \"bbox\": [112, 88, 167, 96]}, {\"cell\": \"Basal\", \"bbox\": [233, 88, 252, 96]}, {\"cell\": \"Positive/negative\", \"bbox\": [330, 88, 383, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 88, 494, 96]}, {\"cell\": \"GmHSP40.1\", \"bbox\": [1, 99, 41, 108]}, {\"cell\": \"Co-chaperone\", \"bbox\": [117, 99, 163, 108]}, {\"cell\": \"Basal\", \"bbox\": [233, 99, 252, 108]}, {\"cell\": \"Positive\", \"bbox\": [344, 99, 369, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [435, 99, 507, 108]}, {\"cell\": \"GmPP2C\", \"bbox\": [1, 110, 31, 119]}, {\"cell\": \"ABA signaling\", \"bbox\": [118, 110, 162, 119]}, {\"cell\": \"Rsv3-mediated\", \"bbox\": [218, 110, 266, 119]}, {\"cell\": \"Positive\", \"bbox\": [344, 110, 369, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [446, 110, 496, 119]}, {\"cell\": \"GmAKT2\", \"bbox\": [1, 122, 30, 130]}, {\"cell\": \"K+ channel\", \"bbox\": [122, 121, 158, 130]}, {\"cell\": \"Basal\", \"bbox\": [233, 122, 252, 130]}, {\"cell\": \"Positive\", \"bbox\": [344, 122, 369, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 122, 498, 130]}, {\"cell\": \"GmCNXl\", \"bbox\": [1, 133, 29, 142]}, {\"cell\": \"Moco biosynthesis\", \"bbox\": [111, 133, 169, 142]}, {\"cell\": \"Basal\", \"bbox\": [233, 133, 252, 142]}, {\"cell\": \"Positive\", \"bbox\": [344, 133, 369, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 133, 498, 142]}, {\"cell\": \"GmelF5A\", \"bbox\": [1, 145, 31, 153]}, {\"cell\": \"Translation initiation\", \"bbox\": [110, 145, 170, 153]}, {\"cell\": \"flsi/3-mediated\", \"bbox\": [219, 145, 266, 153]}, {\"cell\": \"Positive\", \"bbox\": [344, 145, 369, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [442, 145, 500, 153]}, {\"cell\": \"GmeEFla\", \"bbox\": [1, 156, 30, 164]}, {\"cell\": \"Translation elongation\", \"bbox\": [106, 156, 173, 164]}, {\"cell\": \"Basal\", \"bbox\": [233, 156, 252, 164]}, {\"cell\": \"Negative\", \"bbox\": [342, 156, 371, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [445, 156, 497, 164]}, {\"cell\": \"GmAGOl\", \"bbox\": [1, 167, 30, 176]}, {\"cell\": \"Gene silencing\", \"bbox\": [117, 167, 163, 176]}, {\"cell\": \"Silencing-mediated\", \"bbox\": [212, 167, 272, 176]}, {\"cell\": \"Positive\", \"bbox\": [344, 167, 369, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 167, 498, 176]}, {\"cell\": \"GmSGS3\", \"bbox\": [1, 179, 31, 187]}, {\"cell\": \"Gene silencing\", \"bbox\": [117, 179, 163, 187]}, {\"cell\": \"Silencing-mediated\", \"bbox\": [212, 179, 272, 187]}, {\"cell\": \"Positive\", \"bbox\": [344, 179, 369, 187]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 179, 498, 187]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5127794_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariablesSurgery (N = 162)Non-surgery (N = 312)
N# of deathCrude HR (95%C.I.)Adjusted HR (95%C.I.)N# of deathCrude HR (95%C.I.)Adjusted HR (95%C.I.)
QLQ-LC13[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Dyspnoea (=0 as reference)8281.00[EMPTY_CELL]107441.001.00
>079262.03 (0.91-4.51)[EMPTY_CELL]2011201.32 (0.93-1.86)1.16 (0.80-1.69)
Cough (=0 as reference)52101.00[EMPTY_CELL]82431.001.00
>0109241.31 (0.63-2.75)[EMPTY_CELL]2301251.19 (0.84-1.69)0.97 (0.68-1.40)
Hemoptysis (=0 as reference)146301.00[EMPTY_CELL]2611421.001.00
>01542.23 (0.78-6.37)[EMPTY_CELL]50261.57 (1.03-2.39)*1.04 (0.65-1.69)
Sore Mouth (=0 as reference)154301.00[EMPTY_CELL]2781471.001.00
>0743.59 (1.26-10.20)*[EMPTY_CELL]33211.16 (0.73-1.84)1.03 (0.60-1.76)
Dysphagia (=0 as reference)144291.00[EMPTY_CELL]2571351.001.00
>01751.31 (0.51-3.40)[EMPTY_CELL]53321.73 (1.18-2.55)**1.06 (0.68-1.64)
Peripheral Neuropathy (=0 as reference)108231.00[EMPTY_CELL]2131091.001.00
>053110.86 (0.42-1.77)[EMPTY_CELL]97591.10 (0.80-1.51)1.03 (0.73-1.46)
Hair Loss (=0 as reference)140291.00[EMPTY_CELL]2621371.001.00
>02151.01 (0.39-2.62)[EMPTY_CELL]47290.99 (0.66-1.47)1.11 (0.71-1.73)
Chest Pain (=0 as reference)107201.00[EMPTY_CELL]183941.001.00
>054141.05 (0.53-2.09)[EMPTY_CELL]128731.07 (0.79-1.45)0.97 (0.70-1.34)
Pain in Arm or Shoulder (=0 as reference)123251.00[EMPTY_CELL]2171141.001.00
>03790.86 (0.40-1.84)[EMPTY_CELL]93531.20 (0.87-1.67)0.96 (0.66-1.39)
Other Pain Sites (=0 as reference)11726[EMPTY_CELL][EMPTY_CELL]1931061.001.00
>04170.60 (0.26-1.39)[EMPTY_CELL]106531.02 (0.74-1.42)0.96 (0.67-1.38)
\", \"cells\": [{\"cell\": \"Variables\", \"bbox\": [1, 17, 34, 27]}, {\"cell\": \"Surgery (N = 162)\", \"bbox\": [192, 4, 254, 13]}, {\"cell\": \"Non-surgery (N = 312)\", \"bbox\": [359, 4, 436, 13]}, {\"cell\": \"N\", \"bbox\": [145, 17, 152, 27]}, {\"cell\": \"# of death\", \"bbox\": [161, 17, 183, 36]}, {\"cell\": \"Crude HR (95%C.I.)\", \"bbox\": [200, 17, 235, 36]}, {\"cell\": \"Adjusted HR (95%C.I.)\", \"bbox\": [255, 17, 301, 36]}, {\"cell\": \"N\", \"bbox\": [314, 17, 321, 27]}, {\"cell\": \"# of death\", \"bbox\": [330, 17, 368, 27]}, {\"cell\": \"Crude HR (95%C.I.)\", \"bbox\": [384, 17, 419, 36]}, {\"cell\": \"Adjusted HR (95%C.I.)\", \"bbox\": [437, 17, 482, 36]}, {\"cell\": \"QLQ-LC13\", \"bbox\": [1, 39, 36, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Dyspnoea (=0 as reference)\", \"bbox\": [1, 53, 90, 63]}, {\"cell\": \"82\", \"bbox\": [146, 53, 155, 63]}, {\"cell\": \"8\", \"bbox\": [171, 53, 177, 63]}, {\"cell\": \"1.00\", \"bbox\": [189, 53, 204, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [251, 53, 266, 63]}, {\"cell\": \"107\", \"bbox\": [310, 53, 324, 63]}, {\"cell\": \"44\", \"bbox\": [346, 53, 356, 63]}, {\"cell\": \"1.00\", \"bbox\": [374, 53, 389, 63]}, {\"cell\": \"1.00\", \"bbox\": [435, 53, 450, 63]}, {\"cell\": \">0\", \"bbox\": [1, 67, 11, 77]}, {\"cell\": \"79\", \"bbox\": [146, 67, 155, 77]}, {\"cell\": \"26\", \"bbox\": [168, 67, 177, 77]}, {\"cell\": \"2.03 (0.91-4.51)\", \"bbox\": [189, 67, 239, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [251, 67, 301, 77]}, {\"cell\": \"201\", \"bbox\": [310, 67, 324, 77]}, {\"cell\": \"120\", \"bbox\": [342, 67, 356, 77]}, {\"cell\": \"1.32 (0.93-1.86)\", \"bbox\": [374, 67, 423, 77]}, {\"cell\": \"1.16 (0.80-1.69)\", \"bbox\": [435, 67, 484, 77]}, {\"cell\": \"Cough (=0 as reference)\", \"bbox\": [1, 81, 80, 91]}, {\"cell\": \"52\", \"bbox\": [146, 81, 155, 91]}, {\"cell\": \"10\", \"bbox\": [168, 81, 177, 91]}, {\"cell\": \"1.00\", \"bbox\": [189, 81, 204, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [251, 81, 266, 91]}, {\"cell\": \"82\", \"bbox\": [314, 81, 324, 91]}, {\"cell\": \"43\", \"bbox\": [346, 81, 356, 91]}, {\"cell\": \"1.00\", \"bbox\": [374, 81, 389, 91]}, {\"cell\": \"1.00\", \"bbox\": [435, 81, 450, 91]}, {\"cell\": \">0\", \"bbox\": [1, 95, 11, 105]}, {\"cell\": \"109\", \"bbox\": [142, 95, 156, 105]}, {\"cell\": \"24\", \"bbox\": [168, 95, 177, 105]}, {\"cell\": \"1.31 (0.63-2.75)\", \"bbox\": [189, 95, 239, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [251, 95, 301, 105]}, {\"cell\": \"230\", \"bbox\": [310, 95, 324, 105]}, {\"cell\": \"125\", \"bbox\": [342, 95, 356, 105]}, {\"cell\": \"1.19 (0.84-1.69)\", \"bbox\": [374, 95, 423, 105]}, {\"cell\": \"0.97 (0.68-1.40)\", \"bbox\": [435, 95, 484, 105]}, {\"cell\": \"Hemoptysis (=0 as reference)\", \"bbox\": [1, 109, 96, 119]}, {\"cell\": \"146\", \"bbox\": [142, 109, 156, 119]}, {\"cell\": \"30\", \"bbox\": [168, 109, 177, 119]}, {\"cell\": \"1.00\", \"bbox\": [189, 109, 204, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [251, 109, 266, 119]}, {\"cell\": \"261\", \"bbox\": [310, 109, 324, 119]}, {\"cell\": \"142\", \"bbox\": [342, 109, 356, 119]}, {\"cell\": \"1.00\", \"bbox\": [374, 109, 389, 119]}, {\"cell\": \"1.00\", \"bbox\": [435, 109, 450, 119]}, {\"cell\": \">0\", \"bbox\": [1, 123, 11, 133]}, {\"cell\": \"15\", \"bbox\": [146, 123, 155, 133]}, {\"cell\": \"4\", \"bbox\": [171, 123, 177, 133]}, {\"cell\": \"2.23 (0.78-6.37)\", \"bbox\": [189, 123, 239, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [251, 123, 305, 133]}, {\"cell\": \"50\", \"bbox\": [314, 123, 324, 133]}, {\"cell\": \"26\", \"bbox\": [346, 123, 356, 133]}, {\"cell\": \"1.57 (1.03-2.39)*\", \"bbox\": [374, 123, 426, 133]}, {\"cell\": \"1.04 (0.65-1.69)\", \"bbox\": [435, 123, 484, 133]}, {\"cell\": \"Sore Mouth (=0 as reference)\", \"bbox\": [1, 137, 96, 147]}, {\"cell\": \"154\", \"bbox\": [142, 137, 156, 147]}, {\"cell\": \"30\", \"bbox\": [168, 137, 177, 147]}, {\"cell\": \"1.00\", \"bbox\": [189, 137, 204, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [251, 137, 266, 147]}, {\"cell\": \"278\", \"bbox\": [310, 137, 324, 147]}, {\"cell\": \"147\", \"bbox\": [342, 137, 356, 147]}, {\"cell\": \"1.00\", \"bbox\": [374, 137, 389, 147]}, {\"cell\": \"1.00\", \"bbox\": [435, 137, 450, 147]}, {\"cell\": \">0\", \"bbox\": [1, 151, 11, 161]}, {\"cell\": \"7\", \"bbox\": [150, 151, 155, 161]}, {\"cell\": \"4\", \"bbox\": [171, 151, 177, 161]}, {\"cell\": \"3.59 (1.26-10.20)*\", \"bbox\": [189, 151, 246, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [251, 151, 301, 161]}, {\"cell\": \"33\", \"bbox\": [314, 151, 324, 161]}, {\"cell\": \"21\", \"bbox\": [346, 151, 356, 161]}, {\"cell\": \"1.16 (0.73-1.84)\", \"bbox\": [374, 151, 423, 161]}, {\"cell\": \"1.03 (0.60-1.76)\", \"bbox\": [435, 151, 484, 161]}, {\"cell\": \"Dysphagia (=0 as reference)\", \"bbox\": [1, 165, 92, 175]}, {\"cell\": \"144\", \"bbox\": [142, 165, 156, 175]}, {\"cell\": \"29\", \"bbox\": [168, 165, 177, 175]}, {\"cell\": \"1.00\", \"bbox\": [189, 165, 204, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [251, 165, 266, 175]}, {\"cell\": \"257\", \"bbox\": [310, 165, 324, 175]}, {\"cell\": \"135\", \"bbox\": [342, 165, 356, 175]}, {\"cell\": \"1.00\", \"bbox\": [374, 165, 389, 175]}, {\"cell\": \"1.00\", \"bbox\": [435, 165, 450, 175]}, {\"cell\": \">0\", \"bbox\": [1, 179, 11, 189]}, {\"cell\": \"17\", \"bbox\": [146, 179, 155, 189]}, {\"cell\": \"5\", \"bbox\": [171, 179, 177, 189]}, {\"cell\": \"1.31 (0.51-3.40)\", \"bbox\": [189, 179, 239, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [251, 179, 301, 189]}, {\"cell\": \"53\", \"bbox\": [314, 179, 324, 189]}, {\"cell\": \"32\", \"bbox\": [346, 179, 356, 189]}, {\"cell\": \"1.73 (1.18-2.55)**\", \"bbox\": [374, 179, 429, 189]}, {\"cell\": \"1.06 (0.68-1.64)\", \"bbox\": [435, 179, 484, 189]}, {\"cell\": \"Peripheral Neuropathy (=0 as reference)\", \"bbox\": [1, 193, 130, 203]}, {\"cell\": \"108\", \"bbox\": [142, 193, 156, 203]}, {\"cell\": \"23\", \"bbox\": [168, 193, 177, 203]}, {\"cell\": \"1.00\", \"bbox\": [189, 193, 204, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [251, 193, 266, 203]}, {\"cell\": \"213\", \"bbox\": [310, 193, 324, 203]}, {\"cell\": \"109\", \"bbox\": [342, 193, 356, 203]}, {\"cell\": \"1.00\", \"bbox\": [374, 193, 389, 203]}, {\"cell\": \"1.00\", \"bbox\": [435, 193, 450, 203]}, {\"cell\": \">0\", \"bbox\": [1, 207, 11, 217]}, {\"cell\": \"53\", \"bbox\": [146, 207, 155, 217]}, {\"cell\": \"11\", \"bbox\": [168, 207, 177, 217]}, {\"cell\": \"0.86 (0.42-1.77)\", \"bbox\": [189, 207, 239, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [251, 207, 301, 217]}, {\"cell\": \"97\", \"bbox\": [314, 207, 324, 217]}, {\"cell\": \"59\", \"bbox\": [346, 207, 356, 217]}, {\"cell\": \"1.10 (0.80-1.51)\", \"bbox\": [374, 207, 423, 217]}, {\"cell\": \"1.03 (0.73-1.46)\", \"bbox\": [435, 207, 484, 217]}, {\"cell\": \"Hair Loss (=0 as reference)\", \"bbox\": [1, 221, 87, 231]}, {\"cell\": \"140\", \"bbox\": [142, 221, 156, 231]}, {\"cell\": \"29\", \"bbox\": [168, 221, 177, 231]}, {\"cell\": \"1.00\", \"bbox\": [189, 221, 205, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [251, 221, 266, 231]}, {\"cell\": \"262\", \"bbox\": [310, 221, 324, 231]}, {\"cell\": \"137\", \"bbox\": [342, 221, 356, 231]}, {\"cell\": \"1.00\", \"bbox\": [374, 221, 389, 231]}, {\"cell\": \"1.00\", \"bbox\": [435, 221, 450, 231]}, {\"cell\": \">0\", \"bbox\": [1, 235, 11, 245]}, {\"cell\": \"21\", \"bbox\": [146, 235, 155, 245]}, {\"cell\": \"5\", \"bbox\": [171, 235, 177, 245]}, {\"cell\": \"1.01 (0.39-2.62)\", \"bbox\": [189, 235, 239, 245]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [251, 235, 301, 245]}, {\"cell\": \"47\", \"bbox\": [314, 235, 324, 245]}, {\"cell\": \"29\", \"bbox\": [346, 235, 356, 245]}, {\"cell\": \"0.99 (0.66-1.47)\", \"bbox\": [374, 235, 423, 245]}, {\"cell\": \"1.11 (0.71-1.73)\", \"bbox\": [435, 235, 484, 245]}, {\"cell\": \"Chest Pain (=0 as reference)\", \"bbox\": [1, 249, 92, 259]}, {\"cell\": \"107\", \"bbox\": [142, 249, 156, 259]}, {\"cell\": \"20\", \"bbox\": [168, 249, 177, 259]}, {\"cell\": \"1.00\", \"bbox\": [189, 249, 204, 259]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [251, 249, 266, 259]}, {\"cell\": \"183\", \"bbox\": [310, 249, 324, 259]}, {\"cell\": \"94\", \"bbox\": [346, 249, 356, 259]}, {\"cell\": \"1.00\", \"bbox\": [374, 249, 389, 259]}, {\"cell\": \"1.00\", \"bbox\": [435, 249, 450, 259]}, {\"cell\": \">0\", \"bbox\": [1, 263, 11, 273]}, {\"cell\": \"54\", \"bbox\": [146, 263, 155, 273]}, {\"cell\": \"14\", \"bbox\": [168, 263, 177, 273]}, {\"cell\": \"1.05 (0.53-2.09)\", \"bbox\": [189, 263, 239, 273]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [251, 263, 301, 273]}, {\"cell\": \"128\", \"bbox\": [310, 263, 324, 273]}, {\"cell\": \"73\", \"bbox\": [346, 263, 356, 273]}, {\"cell\": \"1.07 (0.79-1.45)\", \"bbox\": [374, 263, 423, 273]}, {\"cell\": \"0.97 (0.70-1.34)\", \"bbox\": [435, 263, 484, 273]}, {\"cell\": \"Pain in Arm or Shoulder (=0 as reference)\", \"bbox\": [1, 277, 136, 287]}, {\"cell\": \"123\", \"bbox\": [142, 277, 156, 287]}, {\"cell\": \"25\", \"bbox\": [168, 277, 177, 287]}, {\"cell\": \"1.00\", \"bbox\": [189, 277, 204, 287]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [251, 277, 266, 287]}, {\"cell\": \"217\", \"bbox\": [310, 277, 324, 287]}, {\"cell\": \"114\", \"bbox\": [342, 277, 356, 287]}, {\"cell\": \"1.00\", \"bbox\": [374, 277, 389, 287]}, {\"cell\": \"1.00\", \"bbox\": [435, 277, 450, 287]}, {\"cell\": \">0\", \"bbox\": [1, 291, 11, 301]}, {\"cell\": \"37\", \"bbox\": [146, 291, 155, 301]}, {\"cell\": \"9\", \"bbox\": [171, 291, 177, 301]}, {\"cell\": \"0.86 (0.40-1.84)\", \"bbox\": [189, 291, 239, 301]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [251, 291, 301, 301]}, {\"cell\": \"93\", \"bbox\": [314, 291, 324, 301]}, {\"cell\": \"53\", \"bbox\": [346, 291, 356, 301]}, {\"cell\": \"1.20 (0.87-1.67)\", \"bbox\": [374, 291, 423, 301]}, {\"cell\": \"0.96 (0.66-1.39)\", \"bbox\": [435, 291, 484, 301]}, {\"cell\": \"Other Pain Sites (=0 as reference)\", \"bbox\": [1, 305, 110, 315]}, {\"cell\": \"117\", \"bbox\": [142, 305, 156, 315]}, {\"cell\": \"26\", \"bbox\": [168, 305, 177, 315]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [251, 305, 266, 315]}, {\"cell\": \"193\", \"bbox\": [310, 305, 324, 315]}, {\"cell\": \"106\", \"bbox\": [342, 305, 356, 315]}, {\"cell\": \"1.00\", \"bbox\": [374, 305, 389, 315]}, {\"cell\": \"1.00\", \"bbox\": [435, 305, 450, 315]}, {\"cell\": \">0\", \"bbox\": [1, 319, 11, 329]}, {\"cell\": \"41\", \"bbox\": [146, 319, 155, 329]}, {\"cell\": \"7\", \"bbox\": [171, 319, 177, 329]}, {\"cell\": \"0.60 (0.26-1.39)\", \"bbox\": [189, 319, 239, 329]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [251, 319, 301, 329]}, {\"cell\": \"106\", \"bbox\": [310, 319, 324, 329]}, {\"cell\": \"53\", \"bbox\": [346, 319, 356, 329]}, {\"cell\": \"1.02 (0.74-1.42)\", \"bbox\": [374, 319, 423, 329]}, {\"cell\": \"0.96 (0.67-1.38)\", \"bbox\": [435, 319, 484, 329]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3573998_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Normal pregnant women (n = 32)Preeclamptic pregnant women (n = 30)P value
[EMPTY_CELL]
[EMPTY_CELL] 27 ± 630 ± 60.078
[EMPTY_CELL] 37.4 ± 1.535.1 ± 4.40.009
[EMPTY_CELL]3172 ± 3692429 ± 9070.001
[EMPTY_CELL] 27.6 ± 1.528.6 ± 1.10.008
[EMPTY_CELL]
[EMPTY_CELL]110 (90–140)150 (140–210)0.001
[EMPTY_CELL]70 (50–100)90 (90–120)0.001
[EMPTY_CELL]37.6 (7.90–200)921 (307–6923)0.001
[EMPTY_CELL]9 (3–10)9 (0–10)0.038
[EMPTY_CELL]10 (5–10)10 (0–10)0.023
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Normal pregnant women (n = 32)\", \"bbox\": [122, 1, 246, 16]}, {\"cell\": \"Preeclamptic pregnant women (n = 30)\", \"bbox\": [287, 1, 429, 16]}, {\"cell\": \"P value\", \"bbox\": [470, 1, 499, 16]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 14, 272, 29]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 30, 73, 40]}, {\"cell\": \" 27 ± 6\", \"bbox\": [172, 26, 196, 42]}, {\"cell\": \"30 ± 6\", \"bbox\": [346, 26, 370, 42]}, {\"cell\": \"0.078\", \"bbox\": [474, 30, 495, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 42, 85, 53]}, {\"cell\": \" 37.4 ± 1.5\", \"bbox\": [167, 39, 201, 54]}, {\"cell\": \"35.1 ± 4.4\", \"bbox\": [340, 39, 376, 54]}, {\"cell\": \"0.009\", \"bbox\": [473, 42, 496, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 54, 85, 65]}, {\"cell\": \"3172 ± 369\", \"bbox\": [164, 51, 203, 67]}, {\"cell\": \"2429 ± 907\", \"bbox\": [337, 51, 379, 67]}, {\"cell\": \"0.001\", \"bbox\": [474, 55, 495, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 67, 21, 78]}, {\"cell\": \" 27.6 ± 1.5\", \"bbox\": [167, 64, 201, 79]}, {\"cell\": \"28.6 ± 1.1\", \"bbox\": [341, 64, 375, 79]}, {\"cell\": \"0.008\", \"bbox\": [473, 67, 496, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 80, 286, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 93, 74, 103]}, {\"cell\": \"110 (90–140)\", \"bbox\": [161, 93, 207, 103]}, {\"cell\": \"150 (140–210)\", \"bbox\": [333, 93, 383, 103]}, {\"cell\": \"0.001\", \"bbox\": [474, 93, 495, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 105, 79, 116]}, {\"cell\": \"70 (50–100)\", \"bbox\": [162, 105, 206, 116]}, {\"cell\": \"90 (90–120)\", \"bbox\": [336, 105, 380, 116]}, {\"cell\": \"0.001\", \"bbox\": [474, 105, 495, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 118, 82, 128]}, {\"cell\": \"37.6 (7.90–200)\", \"bbox\": [156, 118, 211, 128]}, {\"cell\": \"921 (307–6923)\", \"bbox\": [330, 118, 386, 128]}, {\"cell\": \"0.001\", \"bbox\": [474, 118, 495, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 130, 48, 141]}, {\"cell\": \"9 (3–10)\", \"bbox\": [168, 130, 199, 141]}, {\"cell\": \"9 (0–10)\", \"bbox\": [342, 130, 374, 141]}, {\"cell\": \"0.038\", \"bbox\": [473, 130, 496, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 142, 49, 153]}, {\"cell\": \"10 (5–10)\", \"bbox\": [167, 142, 201, 153]}, {\"cell\": \"10 (0–10)\", \"bbox\": [341, 142, 375, 153]}, {\"cell\": \"0.023\", \"bbox\": [473, 143, 496, 151]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3625559_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Healthy control participants Mean ± SD (n = 6)Chuvash polycythemia Mean ± SD (n = 3)PHD2‐deficient patient (n = 1)
Physical characteristics
Age (year)24 ± 522 ± 5[EMPTY_CELL]
Height (cm)173 ± 10174 ± 5[EMPTY_CELL]
Weight (kg)73 ± 1159 ± 10[EMPTY_CELL]
Body mass index (kg/m2)24 ± 220 ± 5[EMPTY_CELL]
Full blood count
Hemoglobin (g/L)137 ± 17141 ± 21[EMPTY_CELL]
Hematocrit0.42 ± 0.050.48 ± 0.08[EMPTY_CELL]
Mean cell volume (fL)89 ± 364 ± 6a[EMPTY_CELL]
Serum iron studies
Iron (μmol/L)17 ± 44 ± 1a[EMPTY_CELL]
Ferritin (ng/ml)49 ± 372 ± 1[EMPTY_CELL]
Transferrin (g/L)2.6 ± 0.53.8 ± 0.3a[EMPTY_CELL]
Transferrin saturation (%)30 ± 94 ± 1[EMPTY_CELL]
Arterial blood gases
PO2 (mmHg)99 ± 11102 ± 3[EMPTY_CELL]
PCO2 (mmHg)40 ± 434 ± 2a[EMPTY_CELL]
pH (mmHg)7.38 ± 0.027.41 ± 0.02a[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Healthy control participants Mean ± SD (n = 6)\", \"bbox\": [87, 6, 138, 47]}, {\"cell\": \"Chuvash polycythemia Mean ± SD (n = 3)\", \"bbox\": [145, 6, 189, 47]}, {\"cell\": \"PHD2‐deficient patient (n = 1)\", \"bbox\": [196, 6, 225, 47]}, {\"cell\": \"Physical characteristics\", \"bbox\": [6, 55, 80, 64]}, {\"cell\": \"Age (year)\", \"bbox\": [10, 65, 45, 74]}, {\"cell\": \"24 ± 5\", \"bbox\": [93, 65, 119, 74]}, {\"cell\": \"22 ± 5\", \"bbox\": [150, 65, 176, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 65, 216, 74]}, {\"cell\": \"Height (cm)\", \"bbox\": [10, 76, 50, 85]}, {\"cell\": \"173 ± 10\", \"bbox\": [89, 76, 123, 85]}, {\"cell\": \"174 ± 5\", \"bbox\": [146, 76, 176, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 76, 218, 85]}, {\"cell\": \"Weight (kg)\", \"bbox\": [10, 86, 50, 95]}, {\"cell\": \"73 ± 11\", \"bbox\": [93, 86, 123, 95]}, {\"cell\": \"59 ± 10\", \"bbox\": [150, 86, 180, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 86, 216, 95]}, {\"cell\": \"Body mass index (kg/m2)\", \"bbox\": [10, 97, 66, 116]}, {\"cell\": \"24 ± 2\", \"bbox\": [93, 97, 119, 106]}, {\"cell\": \"20 ± 5\", \"bbox\": [150, 97, 176, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 97, 216, 106]}, {\"cell\": \"Full blood count\", \"bbox\": [6, 117, 61, 127]}, {\"cell\": \"Hemoglobin (g/L)\", \"bbox\": [10, 128, 67, 137]}, {\"cell\": \"137 ± 17\", \"bbox\": [89, 128, 123, 137]}, {\"cell\": \"141 ± 21\", \"bbox\": [146, 128, 180, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 128, 218, 137]}, {\"cell\": \"Hematocrit\", \"bbox\": [10, 138, 47, 148]}, {\"cell\": \"0.42 ± 0.05\", \"bbox\": [87, 138, 129, 148]}, {\"cell\": \"0.48 ± 0.08\", \"bbox\": [144, 138, 186, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [202, 138, 219, 148]}, {\"cell\": \"Mean cell volume (fL)\", \"bbox\": [10, 149, 69, 169]}, {\"cell\": \"89 ± 3\", \"bbox\": [93, 149, 119, 158]}, {\"cell\": \"64 ± 6a\", \"bbox\": [150, 147, 179, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 149, 216, 158]}, {\"cell\": \"Serum iron studies\", \"bbox\": [6, 170, 68, 179]}, {\"cell\": \"Iron (μmol/L)\", \"bbox\": [10, 180, 53, 190]}, {\"cell\": \"17 ± 4\", \"bbox\": [93, 180, 119, 190]}, {\"cell\": \"4 ± 1a\", \"bbox\": [154, 179, 179, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 180, 216, 190]}, {\"cell\": \"Ferritin (ng/ml)\", \"bbox\": [10, 191, 59, 200]}, {\"cell\": \"49 ± 37\", \"bbox\": [93, 191, 123, 200]}, {\"cell\": \"2 ± 1\", \"bbox\": [154, 191, 176, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 191, 218, 200]}, {\"cell\": \"Transferrin (g/L)\", \"bbox\": [10, 201, 62, 210]}, {\"cell\": \"2.6 ± 0.5\", \"bbox\": [91, 201, 125, 210]}, {\"cell\": \"3.8 ± 0.3a\", \"bbox\": [148, 200, 185, 210]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [204, 201, 217, 210]}, {\"cell\": \"Transferrin saturation (%)\", \"bbox\": [10, 212, 65, 231]}, {\"cell\": \"30 ± 9\", \"bbox\": [93, 212, 119, 221]}, {\"cell\": \"4 ± 1\", \"bbox\": [154, 212, 176, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 212, 216, 221]}, {\"cell\": \"Arterial blood gases\", \"bbox\": [6, 233, 72, 242]}, {\"cell\": \"PO2 (mmHg)\", \"bbox\": [10, 243, 53, 253]}, {\"cell\": \"99 ± 11\", \"bbox\": [93, 243, 123, 252]}, {\"cell\": \"102 ± 3\", \"bbox\": [146, 243, 176, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 243, 218, 252]}, {\"cell\": \"PCO2 (mmHg)\", \"bbox\": [10, 253, 58, 264]}, {\"cell\": \"40 ± 4\", \"bbox\": [93, 253, 119, 263]}, {\"cell\": \"34 ± 2a\", \"bbox\": [150, 252, 179, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 253, 216, 263]}, {\"cell\": \"pH (mmHg)\", \"bbox\": [10, 264, 50, 273]}, {\"cell\": \"7.38 ± 0.02\", \"bbox\": [87, 264, 129, 273]}, {\"cell\": \"7.41 ± 0.02a\", \"bbox\": [144, 263, 189, 273]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [202, 264, 219, 273]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5392514_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
ParameterCases observedOSχ2 valueP
3-year (%)5-year (%)
Age (year)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
≤509071.555.5[EMPTY_CELL][EMPTY_CELL]
>506339.422.813.360[EMPTY_CELL]
Gender[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Male12857.142.9[EMPTY_CELL][EMPTY_CELL]
Female2559.223.71.401[EMPTY_CELL]
Status of LN[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Recurrence10559.543.1[EMPTY_CELL][EMPTY_CELL]
Residue4850.933.91.642[EMPTY_CELL]
rN stage[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
N110967.747.0[EMPTY_CELL][EMPTY_CELL]
N21744.936.0[EMPTY_CELL][EMPTY_CELL]
N32720.715.640.152[EMPTY_CELL]
Size of LN[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
≤3 cm8067.552.4[EMPTY_CELL][EMPTY_CELL]
3~6 cm4758.934.7[EMPTY_CELL][EMPTY_CELL]
>6 cm2621.516.240.012[EMPTY_CELL]
Bilateral of LN[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Yes1744.936.0[EMPTY_CELL][EMPTY_CELL]
NO13658.540.90.005[EMPTY_CELL]
ECS[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Yes11151.835.7[EMPTY_CELL][EMPTY_CELL]
No4271.354.86.189[EMPTY_CELL]
Level 1 or parotid metastasis[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Yes2754.838.4[EMPTY_CELL][EMPTY_CELL]
No12657.641.00.085[EMPTY_CELL]
Surgical procedure[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
MRND8966.347.9[EMPTY_CELL][EMPTY_CELL]
RND/ERND6444.330.511.823[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Parameter\", \"bbox\": [1, 5, 35, 14]}, {\"cell\": \"Cases observed\", \"bbox\": [52, 5, 101, 14]}, {\"cell\": \"OS\", \"bbox\": [107, 5, 118, 14]}, {\"cell\": \"χ2 value\", \"bbox\": [185, 3, 212, 14]}, {\"cell\": \"P\", \"bbox\": [218, 5, 223, 12]}, {\"cell\": \"3-year (%)\", \"bbox\": [107, 18, 141, 27]}, {\"cell\": \"5-year (%)\", \"bbox\": [146, 18, 180, 27]}, {\"cell\": \"Age (year)\", \"bbox\": [1, 31, 35, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" ≤50\", \"bbox\": [8, 45, 23, 54]}, {\"cell\": \"90\", \"bbox\": [52, 45, 62, 54]}, {\"cell\": \"71.5\", \"bbox\": [107, 45, 122, 54]}, {\"cell\": \"55.5\", \"bbox\": [146, 45, 161, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" >50\", \"bbox\": [8, 59, 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{\"cell\": \"23.7\", \"bbox\": [146, 101, 161, 110]}, {\"cell\": \"1.401\", \"bbox\": [185, 101, 204, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 101, 236, 110]}, {\"cell\": \"Status of LN\", \"bbox\": [1, 115, 41, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Recurrence\", \"bbox\": [8, 129, 46, 138]}, {\"cell\": \"105\", \"bbox\": [52, 129, 66, 138]}, {\"cell\": \"59.5\", \"bbox\": [107, 129, 122, 138]}, {\"cell\": \"43.1\", \"bbox\": [146, 129, 161, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Residue\", \"bbox\": [8, 143, 35, 152]}, {\"cell\": \"48\", \"bbox\": [52, 143, 62, 152]}, {\"cell\": \"50.9\", \"bbox\": [107, 143, 122, 152]}, {\"cell\": \"33.9\", \"bbox\": [146, 143, 161, 152]}, {\"cell\": \"1.642\", \"bbox\": 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\"57.6\", \"bbox\": [107, 399, 122, 408]}, {\"cell\": \"41.0\", \"bbox\": [146, 399, 161, 408]}, {\"cell\": \"0.085\", \"bbox\": [185, 399, 204, 408]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 399, 236, 408]}, {\"cell\": \"Surgical procedure\", \"bbox\": [1, 413, 35, 431]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" MRND\", \"bbox\": [8, 436, 31, 445]}, {\"cell\": \"89\", \"bbox\": [52, 436, 62, 445]}, {\"cell\": \"66.3\", \"bbox\": [107, 436, 122, 445]}, {\"cell\": \"47.9\", \"bbox\": [146, 436, 161, 445]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" RND/ERND\", \"bbox\": [8, 450, 45, 459]}, {\"cell\": \"64\", \"bbox\": [52, 450, 62, 459]}, {\"cell\": \"44.3\", \"bbox\": [107, 450, 122, 459]}, {\"cell\": \"30.5\", \"bbox\": [146, 450, 161, 459]}, {\"cell\": \"11.823\", \"bbox\": [185, 450, 208, 459]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 450, 236, 459]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4807573_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Type of serviceUsual care (n = 378)Health coaching (n = 206)
Mean (£)95% CIMean (£)95% CI
[EMPTY_CELL]
[EMPTY_CELL]146.87 (112.25–181.48)98.95 (64.27–133.63)
[EMPTY_CELL]313.76 (190.97–436.54)219.08 (101.92–336.24)
[EMPTY_CELL]343.61 (212.29–474.93)238.36 (166.87–309.86)
[EMPTY_CELL]310.71 (203.04–418.38)405.96 (201.93–609.99)
[EMPTY_CELL]1851.42 (1605.13–2097.70)2521.95 (2139.57–2904.32)
[EMPTY_CELL]76.66 (62.69–90.63)51.79 (39.33–64.24)
[EMPTY_CELL]3043.02 (2626.02–3460.03)3536.09 (2979.87–4092.31)
[EMPTY_CELL]381.14 (350.96–411.32)392.50 (351.72–433.28)
[EMPTY_CELL]–79.29 (69.59–88.99)
[EMPTY_CELL]3424.16 (2999.98–3848.34)4007.88 (3444.57–4571.18)
\", \"cells\": [{\"cell\": \"Type of service\", \"bbox\": [1, 4, 51, 13]}, {\"cell\": \"Usual care (n = 378)\", \"bbox\": [229, 4, 294, 13]}, {\"cell\": \"Health coaching (n = 206)\", \"bbox\": [399, 4, 483, 13]}, {\"cell\": \"Mean (£)95% CI\", \"bbox\": [229, 17, 259, 36]}, {\"cell\": \"Mean (£)95% CI\", \"bbox\": [399, 17, 429, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 39, 70, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 53, 79, 63]}, {\"cell\": \"146.87 (112.25–181.48)\", \"bbox\": [229, 53, 303, 63]}, {\"cell\": \"98.95 (64.27–133.63)\", \"bbox\": [399, 53, 465, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 67, 78, 77]}, {\"cell\": \"313.76 (190.97–436.54)\", \"bbox\": [229, 67, 303, 77]}, {\"cell\": \"219.08 (101.92–336.24)\", \"bbox\": [399, 67, 473, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 81, 39, 91]}, {\"cell\": \"343.61 (212.29–474.93)\", \"bbox\": [229, 81, 303, 91]}, {\"cell\": \"238.36 (166.87–309.86)\", \"bbox\": [399, 81, 473, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 95, 69, 105]}, {\"cell\": \"310.71 (203.04–418.38)\", \"bbox\": [229, 95, 303, 105]}, {\"cell\": \"405.96 (201.93–609.99)\", \"bbox\": [399, 95, 473, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 109, 89, 119]}, {\"cell\": \"1851.42 (1605.13–2097.70)\", \"bbox\": [229, 109, 314, 119]}, {\"cell\": \"2521.95 (2139.57–2904.32)\", \"bbox\": [399, 109, 484, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 123, 62, 133]}, {\"cell\": \"76.66 (62.69–90.63)\", \"bbox\": [229, 123, 291, 133]}, {\"cell\": \"51.79 (39.33–64.24)\", \"bbox\": [399, 123, 462, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 137, 144, 147]}, {\"cell\": \"3043.02 (2626.02–3460.03)\", \"bbox\": [229, 137, 314, 147]}, {\"cell\": \"3536.09 (2979.87–4092.31)\", \"bbox\": [399, 137, 484, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 151, 58, 161]}, {\"cell\": \"381.14 (350.96–411.32)\", \"bbox\": [229, 151, 303, 161]}, {\"cell\": \"392.50 (351.72–433.28)\", \"bbox\": [399, 151, 473, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 165, 73, 175]}, {\"cell\": \"–\", \"bbox\": [229, 169, 235, 173]}, {\"cell\": \"79.29 (69.59–88.99)\", \"bbox\": [399, 165, 462, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 179, 52, 189]}, {\"cell\": \"3424.16 (2999.98–3848.34)\", \"bbox\": [229, 179, 314, 189]}, {\"cell\": \"4007.88 (3444.57–4571.18)\", \"bbox\": [399, 179, 484, 189]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5975389_009_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL][EMPTY_CELL]Flux, mg/kg per hourRate Constants, pools/hour
ParticipantsTCEFlux 1Flux 3Flux 2k(0,1)k(0,3)k(1,2)k(2,1)
4353.733.070.67[EMPTY_CELL]0.0470.0160.0800.015
4424.683.860.82[EMPTY_CELL]0.0640.0220.1630.056
4543.722.890.83[EMPTY_CELL]0.0470.0170.1260.040
4583.462.750.71[EMPTY_CELL]0.0540.0190.1550.061
4593.302.690.60[EMPTY_CELL]0.0500.0190.1390.052
585.294.151.14[EMPTY_CELL]0.0830.0220.2260.082
634.213.240.97[EMPTY_CELL]0.0680.0200.0690.024
642.401.341.06[EMPTY_CELL]0.0160.0190.1270.021
613.802.731.07[EMPTY_CELL]0.0540.0190.0770.040
655.313.951.36[EMPTY_CELL]0.0580.0190.0760.029
664.352.302.05[EMPTY_CELL]0.0470.0320.1080.034
693.922.980.94[EMPTY_CELL]0.0690.0180.0770.041
702.791.681.11[EMPTY_CELL]0.0450.0230.0770.071
713.262.290.97[EMPTY_CELL]0.0770.0150.0780.105
722.801.011.79[EMPTY_CELL]0.0400.0240.0810.063
732.701.331.42[EMPTY_CELL]0.0420.0180.0870.075
754.693.531.16[EMPTY_CELL]0.0470.0190.1020.032
Mean3.792.691.10[EMPTY_CELL]0.0530.02000.1090.049
SD0.880.940.38[EMPTY_CELL]0.0160.00380.0430.024
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Flux, mg/kg per hour\", \"bbox\": [136, 8, 199, 16]}, {\"cell\": \"Rate Constants, pools/hour\", \"bbox\": [310, 8, 391, 16]}, {\"cell\": \"Participants\", \"bbox\": [7, 23, 43, 31]}, {\"cell\": \"TCE\", \"bbox\": [81, 23, 94, 31]}, {\"cell\": \"Flux 1\", \"bbox\": [136, 23, 155, 31]}, {\"cell\": \"Flux 3\", \"bbox\": [194, 23, 214, 31]}, {\"cell\": \"Flux 2\", \"bbox\": [252, 23, 272, 31]}, {\"cell\": \"k(0,1)\", \"bbox\": [310, 23, 328, 31]}, {\"cell\": \"k(0,3)\", \"bbox\": [369, 23, 387, 31]}, {\"cell\": \"k(1,2)\", \"bbox\": [432, 23, 450, 31]}, {\"cell\": \"k(2,1)\", \"bbox\": [491, 23, 509, 31]}, {\"cell\": \"435\", \"bbox\": [7, 36, 22, 44]}, {\"cell\": \"3.73\", \"bbox\": [81, 36, 97, 44]}, {\"cell\": \"3.07\", \"bbox\": [136, 36, 152, 44]}, {\"cell\": \"0.67\", \"bbox\": [194, 36, 210, 44]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 36, 268, 44]}, {\"cell\": \"0.047\", \"bbox\": [310, 36, 330, 44]}, {\"cell\": \"0.016\", \"bbox\": [369, 36, 389, 44]}, {\"cell\": \"0.080\", \"bbox\": [432, 36, 452, 44]}, {\"cell\": \"0.015\", \"bbox\": [491, 36, 511, 44]}, {\"cell\": \"442\", \"bbox\": [7, 51, 22, 59]}, {\"cell\": \"4.68\", \"bbox\": [81, 51, 97, 59]}, {\"cell\": \"3.86\", \"bbox\": [136, 51, 152, 59]}, {\"cell\": \"0.82\", \"bbox\": [194, 51, 210, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 51, 268, 59]}, {\"cell\": \"0.064\", \"bbox\": [310, 51, 330, 59]}, {\"cell\": \"0.022\", \"bbox\": [369, 51, 389, 59]}, {\"cell\": \"0.163\", \"bbox\": [432, 51, 452, 59]}, {\"cell\": \"0.056\", \"bbox\": [491, 51, 511, 59]}, {\"cell\": \"454\", \"bbox\": [7, 66, 22, 74]}, {\"cell\": \"3.72\", \"bbox\": [81, 66, 97, 74]}, {\"cell\": \"2.89\", \"bbox\": [136, 66, 152, 74]}, {\"cell\": \"0.83\", \"bbox\": [194, 66, 210, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 66, 268, 74]}, {\"cell\": \"0.047\", \"bbox\": [310, 66, 330, 74]}, {\"cell\": \"0.017\", \"bbox\": [369, 66, 389, 74]}, {\"cell\": \"0.126\", \"bbox\": [432, 66, 452, 74]}, {\"cell\": \"0.040\", \"bbox\": [491, 66, 511, 74]}, {\"cell\": \"458\", \"bbox\": [7, 80, 22, 89]}, {\"cell\": \"3.46\", \"bbox\": [81, 80, 97, 89]}, {\"cell\": \"2.75\", \"bbox\": [136, 80, 152, 89]}, {\"cell\": \"0.71\", \"bbox\": [194, 80, 210, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 80, 268, 89]}, {\"cell\": \"0.054\", \"bbox\": [310, 80, 330, 89]}, {\"cell\": \"0.019\", \"bbox\": [369, 80, 389, 89]}, {\"cell\": \"0.155\", \"bbox\": [432, 80, 452, 89]}, {\"cell\": \"0.061\", \"bbox\": [491, 80, 511, 89]}, {\"cell\": \"459\", \"bbox\": [7, 95, 22, 104]}, {\"cell\": \"3.30\", \"bbox\": [81, 95, 97, 104]}, {\"cell\": \"2.69\", \"bbox\": [136, 95, 152, 104]}, {\"cell\": \"0.60\", \"bbox\": [194, 95, 210, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 95, 268, 104]}, {\"cell\": \"0.050\", \"bbox\": [310, 95, 330, 104]}, {\"cell\": \"0.019\", \"bbox\": [369, 95, 389, 104]}, {\"cell\": \"0.139\", \"bbox\": [432, 95, 452, 104]}, {\"cell\": \"0.052\", \"bbox\": [491, 95, 511, 104]}, {\"cell\": \"58\", \"bbox\": [7, 110, 18, 118]}, {\"cell\": \"5.29\", \"bbox\": [81, 110, 97, 118]}, {\"cell\": \"4.15\", \"bbox\": [136, 110, 152, 118]}, {\"cell\": \"1.14\", \"bbox\": [194, 110, 210, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 110, 268, 118]}, {\"cell\": \"0.083\", \"bbox\": [310, 110, 330, 118]}, {\"cell\": \"0.022\", \"bbox\": [369, 110, 389, 118]}, {\"cell\": \"0.226\", \"bbox\": [432, 110, 452, 118]}, {\"cell\": \"0.082\", \"bbox\": [491, 110, 511, 118]}, {\"cell\": \"63\", \"bbox\": [7, 125, 18, 133]}, {\"cell\": \"4.21\", \"bbox\": [81, 125, 97, 133]}, {\"cell\": \"3.24\", \"bbox\": [136, 125, 152, 133]}, {\"cell\": \"0.97\", \"bbox\": [194, 125, 210, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 125, 268, 133]}, {\"cell\": \"0.068\", \"bbox\": [310, 125, 330, 133]}, {\"cell\": \"0.020\", \"bbox\": [369, 125, 389, 133]}, {\"cell\": \"0.069\", \"bbox\": [432, 125, 452, 133]}, {\"cell\": \"0.024\", \"bbox\": [491, 125, 511, 133]}, {\"cell\": \"64\", \"bbox\": [7, 140, 18, 148]}, {\"cell\": \"2.40\", \"bbox\": [81, 140, 97, 148]}, {\"cell\": \"1.34\", \"bbox\": [136, 140, 152, 148]}, {\"cell\": \"1.06\", \"bbox\": [194, 140, 210, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 140, 268, 148]}, {\"cell\": \"0.016\", \"bbox\": [310, 140, 330, 148]}, {\"cell\": \"0.019\", \"bbox\": [369, 140, 389, 148]}, {\"cell\": \"0.127\", \"bbox\": [432, 140, 452, 148]}, {\"cell\": \"0.021\", \"bbox\": [491, 140, 511, 148]}, {\"cell\": \"61\", \"bbox\": [7, 154, 18, 163]}, {\"cell\": \"3.80\", \"bbox\": [81, 154, 97, 163]}, {\"cell\": \"2.73\", \"bbox\": [136, 154, 152, 163]}, {\"cell\": \"1.07\", \"bbox\": [194, 154, 210, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 154, 268, 163]}, {\"cell\": \"0.054\", \"bbox\": [310, 154, 330, 163]}, {\"cell\": \"0.019\", \"bbox\": [369, 154, 389, 163]}, {\"cell\": \"0.077\", \"bbox\": [432, 154, 452, 163]}, {\"cell\": \"0.040\", \"bbox\": [491, 154, 511, 163]}, {\"cell\": \"65\", \"bbox\": [7, 169, 18, 178]}, {\"cell\": \"5.31\", \"bbox\": [81, 169, 97, 178]}, {\"cell\": \"3.95\", \"bbox\": [136, 169, 152, 178]}, {\"cell\": \"1.36\", \"bbox\": [194, 169, 210, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 169, 268, 178]}, {\"cell\": \"0.058\", \"bbox\": [310, 169, 330, 178]}, {\"cell\": \"0.019\", \"bbox\": [369, 169, 389, 178]}, {\"cell\": \"0.076\", \"bbox\": [432, 169, 452, 178]}, {\"cell\": \"0.029\", \"bbox\": [491, 169, 511, 178]}, {\"cell\": \"66\", \"bbox\": [7, 184, 18, 192]}, {\"cell\": \"4.35\", \"bbox\": [81, 184, 97, 192]}, {\"cell\": \"2.30\", \"bbox\": [136, 184, 152, 192]}, {\"cell\": \"2.05\", \"bbox\": [194, 184, 210, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 184, 268, 192]}, {\"cell\": \"0.047\", \"bbox\": [310, 184, 330, 192]}, {\"cell\": \"0.032\", \"bbox\": [369, 184, 389, 192]}, {\"cell\": \"0.108\", \"bbox\": [432, 184, 452, 192]}, {\"cell\": \"0.034\", \"bbox\": [491, 184, 511, 192]}, {\"cell\": \"69\", \"bbox\": [7, 199, 18, 207]}, {\"cell\": \"3.92\", \"bbox\": [81, 199, 97, 207]}, {\"cell\": \"2.98\", \"bbox\": [136, 199, 152, 207]}, {\"cell\": \"0.94\", \"bbox\": [194, 199, 210, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 199, 268, 207]}, {\"cell\": \"0.069\", \"bbox\": [310, 199, 330, 207]}, {\"cell\": \"0.018\", \"bbox\": [369, 199, 389, 207]}, {\"cell\": \"0.077\", \"bbox\": [432, 199, 452, 207]}, {\"cell\": \"0.041\", \"bbox\": [491, 199, 511, 207]}, {\"cell\": \"70\", \"bbox\": [7, 214, 18, 222]}, {\"cell\": \"2.79\", \"bbox\": [81, 214, 97, 222]}, {\"cell\": \"1.68\", \"bbox\": [136, 214, 152, 222]}, {\"cell\": \"1.11\", \"bbox\": [194, 214, 210, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 214, 268, 222]}, {\"cell\": \"0.045\", \"bbox\": [310, 214, 330, 222]}, {\"cell\": \"0.023\", \"bbox\": [369, 214, 389, 222]}, {\"cell\": \"0.077\", \"bbox\": [432, 214, 452, 222]}, {\"cell\": \"0.071\", \"bbox\": [491, 214, 511, 222]}, {\"cell\": \"71\", \"bbox\": [7, 229, 18, 237]}, {\"cell\": \"3.26\", \"bbox\": [81, 229, 97, 237]}, {\"cell\": \"2.29\", \"bbox\": [136, 229, 152, 237]}, {\"cell\": \"0.97\", \"bbox\": [194, 229, 210, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 229, 268, 237]}, {\"cell\": \"0.077\", \"bbox\": [310, 229, 330, 237]}, {\"cell\": \"0.015\", \"bbox\": [369, 229, 389, 237]}, {\"cell\": \"0.078\", \"bbox\": [432, 229, 452, 237]}, {\"cell\": \"0.105\", \"bbox\": [491, 229, 511, 237]}, {\"cell\": \"72\", \"bbox\": [7, 243, 18, 252]}, {\"cell\": \"2.80\", \"bbox\": [81, 243, 97, 252]}, {\"cell\": \"1.01\", \"bbox\": [136, 243, 152, 252]}, {\"cell\": \"1.79\", \"bbox\": [194, 243, 210, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 243, 268, 252]}, {\"cell\": \"0.040\", \"bbox\": [310, 243, 330, 252]}, {\"cell\": \"0.024\", \"bbox\": [369, 243, 389, 252]}, {\"cell\": \"0.081\", \"bbox\": [432, 243, 452, 252]}, {\"cell\": \"0.063\", \"bbox\": [491, 243, 511, 252]}, {\"cell\": \"73\", \"bbox\": [7, 258, 18, 266]}, {\"cell\": \"2.70\", \"bbox\": [81, 258, 97, 266]}, {\"cell\": \"1.33\", \"bbox\": [136, 258, 152, 266]}, {\"cell\": \"1.42\", \"bbox\": [194, 258, 210, 266]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 258, 268, 266]}, {\"cell\": \"0.042\", \"bbox\": [310, 258, 330, 266]}, {\"cell\": \"0.018\", \"bbox\": [369, 258, 389, 266]}, {\"cell\": \"0.087\", \"bbox\": [432, 258, 452, 266]}, {\"cell\": \"0.075\", \"bbox\": [491, 258, 511, 266]}, {\"cell\": \"75\", \"bbox\": [7, 273, 18, 281]}, {\"cell\": \"4.69\", \"bbox\": [81, 273, 97, 281]}, {\"cell\": \"3.53\", \"bbox\": [136, 273, 152, 281]}, {\"cell\": \"1.16\", \"bbox\": [194, 273, 210, 281]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 273, 268, 281]}, {\"cell\": \"0.047\", \"bbox\": [310, 273, 330, 281]}, {\"cell\": \"0.019\", \"bbox\": [369, 273, 389, 281]}, {\"cell\": \"0.102\", \"bbox\": [432, 273, 452, 281]}, {\"cell\": \"0.032\", \"bbox\": [491, 273, 511, 281]}, {\"cell\": \"Mean\", \"bbox\": [7, 288, 27, 296]}, {\"cell\": \"3.79\", \"bbox\": [81, 288, 97, 296]}, {\"cell\": \"2.69\", \"bbox\": [136, 288, 152, 296]}, {\"cell\": \"1.10\", \"bbox\": [194, 288, 210, 296]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 288, 268, 296]}, {\"cell\": \"0.053\", \"bbox\": [310, 288, 330, 296]}, {\"cell\": \"0.0200\", \"bbox\": [369, 288, 393, 296]}, {\"cell\": \"0.109\", \"bbox\": [432, 288, 452, 296]}, {\"cell\": \"0.049\", \"bbox\": [491, 288, 511, 296]}, {\"cell\": \"SD\", \"bbox\": [7, 303, 18, 311]}, {\"cell\": \"0.88\", \"bbox\": [81, 303, 97, 311]}, {\"cell\": \"0.94\", \"bbox\": [136, 303, 152, 311]}, {\"cell\": \"0.38\", \"bbox\": [194, 303, 210, 311]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 303, 268, 311]}, {\"cell\": \"0.016\", \"bbox\": [310, 303, 330, 311]}, {\"cell\": \"0.0038\", \"bbox\": [369, 303, 393, 311]}, {\"cell\": \"0.043\", \"bbox\": [432, 303, 452, 311]}, {\"cell\": \"0.024\", \"bbox\": [491, 303, 511, 311]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3487360_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
CharacteristicAcute bacterialmeningitis (n=37)Cerebral malaria (n=22)P
[EMPTY_CELL]35 (9 – 90)30.5 (13 – 37)0.61
[EMPTY_CELL]21 (56.8)8 (36.4)0.1
[EMPTY_CELL]0 (0 – 0)230000 (100800 – 393600)0.0001
[EMPTY_CELL] 3370 (288 – 5120) 2 (1 – 4) 0.0001
[EMPTY_CELL]2.1 (1.3 – 2.49)0.28 (0.22 – 0.37)0.0001
[EMPTY_CELL]5.4 (4 – 7.6)5.3 (3.2 – 7.7)0.9
[EMPTY_CELL]0.6 (0.3 – 0.9)3.1 (2.6 – 3.7)0.0001
[EMPTY_CELL]0.1 (0.06 – 0.16)0.69 (0.42 – 1)0.0001
[EMPTY_CELL]13 (35)00.001
[EMPTY_CELL]13.95 (11.5 – 15.4)13.95 (13.3 – 15.2)0.3
[EMPTY_CELL]9 (24)10(46)0.1
\", \"cells\": [{\"cell\": \"Characteristic\", \"bbox\": [5, 4, 60, 13]}, {\"cell\": \"Acute bacterialmeningitis (n=37)\", \"bbox\": [128, 4, 196, 22]}, {\"cell\": \"Cerebral malaria (n=22)\", \"bbox\": [207, 4, 298, 13]}, {\"cell\": \"P\", \"bbox\": [313, 4, 320, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 25, 52, 35]}, {\"cell\": \"35 (9 – 90)\", \"bbox\": [128, 25, 168, 35]}, {\"cell\": \"30.5 (13 – 37)\", \"bbox\": [207, 25, 259, 35]}, {\"cell\": \"0.61\", \"bbox\": [313, 25, 330, 35]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 38, 65, 47]}, {\"cell\": \"21 (56.8)\", \"bbox\": [128, 38, 162, 47]}, {\"cell\": \"8 (36.4)\", \"bbox\": [207, 38, 237, 47]}, {\"cell\": \"0.1\", \"bbox\": [313, 38, 326, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 50, 120, 59]}, {\"cell\": \"0 (0 – 0)\", \"bbox\": [128, 50, 160, 59]}, {\"cell\": \"230000 (100800 – 393600)\", \"bbox\": [207, 50, 305, 59]}, {\"cell\": \"0.0001\", \"bbox\": [313, 50, 339, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 63, 97, 73]}, {\"cell\": \" 3370 (288 – 5120)\", \"bbox\": [128, 63, 195, 73]}, {\"cell\": \" 2 (1 – 4)\", \"bbox\": [207, 63, 239, 73]}, {\"cell\": \" 0.0001\", \"bbox\": [313, 63, 339, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 77, 95, 87]}, {\"cell\": \"2.1 (1.3 – 2.49)\", \"bbox\": [128, 77, 184, 87]}, {\"cell\": \"0.28 (0.22 – 0.37)\", \"bbox\": [207, 77, 272, 87]}, {\"cell\": \"0.0001\", \"bbox\": [313, 77, 339, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 89, 86, 99]}, {\"cell\": \"5.4 (4 – 7.6)\", \"bbox\": [128, 89, 173, 99]}, {\"cell\": \"5.3 (3.2 – 7.7)\", \"bbox\": [207, 89, 259, 99]}, {\"cell\": \"0.9\", \"bbox\": [313, 89, 326, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 102, 80, 111]}, {\"cell\": \"0.6 (0.3 – 0.9)\", \"bbox\": [128, 102, 180, 111]}, {\"cell\": \"3.1 (2.6 – 3.7)\", \"bbox\": [207, 102, 259, 111]}, {\"cell\": \"0.0001\", \"bbox\": [313, 102, 339, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 114, 113, 124]}, {\"cell\": \"0.1 (0.06 – 0.16)\", \"bbox\": [128, 114, 189, 124]}, {\"cell\": \"0.69 (0.42 – 1)\", \"bbox\": [207, 114, 261, 124]}, {\"cell\": \"0.0001\", \"bbox\": [313, 114, 339, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 127, 86, 136]}, {\"cell\": \"13 (35)\", \"bbox\": [128, 127, 156, 136]}, {\"cell\": \"0\", \"bbox\": [207, 127, 214, 136]}, {\"cell\": \"0.001\", \"bbox\": [313, 127, 335, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 139, 46, 149]}, {\"cell\": \"13.95 (11.5 – 15.4)\", \"bbox\": [128, 139, 197, 149]}, {\"cell\": \"13.95 (13.3 – 15.2)\", \"bbox\": [207, 139, 276, 149]}, {\"cell\": \"0.3\", \"bbox\": [313, 139, 326, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 151, 61, 161]}, {\"cell\": \"9 (24)\", \"bbox\": [128, 151, 151, 161]}, {\"cell\": \"10(46)\", \"bbox\": [207, 151, 232, 161]}, {\"cell\": \"0.1\", \"bbox\": [313, 151, 326, 161]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5686508_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
TimeSciatic function index (SFI)
ControlDM + CCI + vehicleDM + CCI + GABApentin (50 mg·kg−1 BW)DM + CCI + ascorbic acid (100 mg·kg−1 BW)DM + CCI + PWCG (100 mg·kg−1 BW)DM + CCI + PWCG (200 mg·kg−1 BW)DM + CCI + PWCG (300 mg·kg−1 BW)
Baseline−9.29 ± 3.51−10.49 ± 3.80−7.40 ± 4.56−8.25 ± 1.82−8.65 ± 2.95[EMPTY_CELL]−7.59 ± 6.86
Day 1−7.98 ± 1.35−91.72 ± 1.58###−84.36 ± 7.12−87.93 ± 2.04−85.03 ± 2.45[EMPTY_CELL]−88.86 ± 2.21
Day 3−7.86 ± 2.00−91.94 ± 1.36###−90.59 ± 1.75−86.28 ± 1.93−89.02 ± 2.09[EMPTY_CELL]−80.81 ± 3.79∗
Day 6−7.74 ± 1.73−91.82 ± 1.48###−89.86 ± 2.28−86.28 ± 1.93−83.69 ± 1.82∗∗[EMPTY_CELL]−84.93 ± 2.31∗
Day 9−9.98 ± 1.89−91.53 ± 1.77###−91.72 ± 1.58−86.73 ± 1.79∗−86.54 ± 2.22∗[EMPTY_CELL]−83.54 ± 1.71∗∗∗
Day 12−9.78 ± 2.40−92.19 ± 1.11###−90.24 ± 2.05−84.32 ± 1.79∗∗−84.01 ± 2.17∗∗[EMPTY_CELL]−86.38 ± 1.94∗
Day 15−6.75 ± 2.54−91.53 ± 1.77###−91.89 ± 1.41−85.50 ± 1.57−89.65 ± 5.21[EMPTY_CELL]−85.52 ± 1.76
Day 18−7.19 ± 1.37−91.69 ± 1.61###−90.88 ± 2.42−82.42 ± 9.04−93.91 ± 5.52[EMPTY_CELL]−88.24 ± 2.00
Day 21−7.48 ± 1.75−91.53 ± 1.77###−89.15 ± 2.74−81.45 ± 10.32−89.85 ± 3.63[EMPTY_CELL]−87.57 ± 1.88
\", \"cells\": [{\"cell\": \"Time\", \"bbox\": [2, 19, 23, 30]}, {\"cell\": \"Sciatic function index (SFI) \", \"bbox\": [218, 4, 319, 15]}, {\"cell\": \"Control\", \"bbox\": [46, 27, 76, 37]}, {\"cell\": \"DM + CCI + vehicle\", \"bbox\": [98, 22, 146, 43]}, {\"cell\": \"DM + CCI + GABApentin (50 mg·kg−1 BW)\", \"bbox\": [157, 16, 220, 49]}, {\"cell\": \"DM + CCI + ascorbic acid (100 mg·kg−1 BW)\", \"bbox\": [224, 16, 290, 49]}, {\"cell\": \"DM + CCI + PWCG (100 mg·kg−1 BW)\", \"bbox\": [293, 16, 359, 49]}, {\"cell\": \"DM + CCI + PWCG (200 mg·kg−1 BW)\", \"bbox\": [361, 16, 429, 49]}, {\"cell\": \"DM + CCI + PWCG (300 mg·kg−1 BW)\", \"bbox\": [433, 16, 500, 49]}, {\"cell\": \"Baseline\", \"bbox\": [2, 50, 34, 61]}, {\"cell\": \"−9.29 ± 3.51\", \"bbox\": [37, 48, 84, 63]}, {\"cell\": \"−10.49 ± 3.80\", \"bbox\": [97, 48, 147, 63]}, {\"cell\": \"−7.40 ± 4.56\", \"bbox\": [165, 48, 211, 63]}, {\"cell\": \"−8.25 ± 1.82\", \"bbox\": [234, 48, 280, 63]}, {\"cell\": \"−8.65 ± 2.95\", \"bbox\": [302, 48, 349, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [369, 48, 420, 63]}, {\"cell\": \"−7.59 ± 6.86\", \"bbox\": [443, 48, 490, 63]}, {\"cell\": \"Day 1\", \"bbox\": [2, 63, 24, 74]}, {\"cell\": \"−7.98 ± 1.35\", \"bbox\": [37, 61, 84, 76]}, {\"cell\": \"−91.72 ± 1.58###\", \"bbox\": [92, 61, 151, 76]}, {\"cell\": \"−84.36 ± 7.12\", \"bbox\": [163, 61, 214, 76]}, {\"cell\": \"−87.93 ± 2.04\", \"bbox\": [232, 61, 282, 76]}, {\"cell\": \"−85.03 ± 2.45\", \"bbox\": [300, 61, 351, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [370, 61, 420, 76]}, {\"cell\": \"−88.86 ± 2.21\", \"bbox\": [441, 61, 492, 76]}, {\"cell\": \"Day 3\", \"bbox\": [2, 77, 25, 87]}, {\"cell\": \"−7.86 ± 2.00\", \"bbox\": [37, 74, 84, 90]}, {\"cell\": \"−91.94 ± 1.36###\", \"bbox\": [92, 74, 151, 90]}, {\"cell\": \"−90.59 ± 1.75\", \"bbox\": [163, 74, 214, 90]}, {\"cell\": \"−86.28 ± 1.93\", \"bbox\": [232, 74, 282, 90]}, {\"cell\": \"−89.02 ± 2.09\", \"bbox\": [300, 74, 351, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [370, 74, 420, 90]}, {\"cell\": \"−80.81 ± 3.79∗\", \"bbox\": [439, 73, 494, 90]}, {\"cell\": \"Day 6\", \"bbox\": [2, 90, 26, 101]}, {\"cell\": \"−7.74 ± 1.73\", \"bbox\": [37, 87, 84, 103]}, {\"cell\": \"−91.82 ± 1.48###\", \"bbox\": [92, 87, 151, 103]}, {\"cell\": \"−89.86 ± 2.28\", \"bbox\": [163, 87, 214, 103]}, {\"cell\": \"−86.28 ± 1.93\", \"bbox\": [232, 87, 282, 103]}, {\"cell\": \"−83.69 ± 1.82∗∗\", \"bbox\": [296, 87, 354, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 87, 424, 103]}, {\"cell\": \"−84.93 ± 2.31∗\", \"bbox\": [439, 87, 494, 103]}, {\"cell\": \"Day 9\", \"bbox\": [2, 103, 25, 114]}, {\"cell\": \"−9.98 ± 1.89\", \"bbox\": [37, 101, 84, 116]}, {\"cell\": \"−91.53 ± 1.77###\", \"bbox\": [92, 101, 151, 116]}, {\"cell\": \"−91.72 ± 1.58\", \"bbox\": [163, 101, 214, 116]}, {\"cell\": \"−86.73 ± 1.79∗\", \"bbox\": [229, 100, 284, 116]}, {\"cell\": \"−86.54 ± 2.22∗\", \"bbox\": [298, 100, 353, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 100, 424, 116]}, {\"cell\": \"−83.54 ± 1.71∗∗∗\", \"bbox\": [436, 100, 497, 116]}, {\"cell\": \"Day 12\", \"bbox\": [2, 116, 28, 127]}, {\"cell\": \"−9.78 ± 2.40\", \"bbox\": [37, 114, 84, 129]}, {\"cell\": \"−92.19 ± 1.11###\", \"bbox\": [92, 114, 151, 129]}, {\"cell\": \"−90.24 ± 2.05\", \"bbox\": [163, 114, 214, 129]}, {\"cell\": \"−84.32 ± 1.79∗∗\", \"bbox\": [228, 113, 286, 129]}, {\"cell\": \"−84.01 ± 2.17∗∗\", \"bbox\": [296, 113, 354, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [367, 113, 422, 129]}, {\"cell\": \"−86.38 ± 1.94∗\", \"bbox\": [439, 113, 494, 129]}, {\"cell\": \"Day 15\", \"bbox\": [2, 130, 28, 140]}, {\"cell\": \"−6.75 ± 2.54\", \"bbox\": [37, 127, 84, 143]}, {\"cell\": \"−91.53 ± 1.77###\", \"bbox\": [92, 127, 151, 143]}, {\"cell\": \"−91.89 ± 1.41\", \"bbox\": [163, 127, 214, 143]}, {\"cell\": \"−85.50 ± 1.57\", \"bbox\": [232, 127, 282, 143]}, {\"cell\": \"−89.65 ± 5.21\", \"bbox\": [300, 127, 351, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [370, 127, 420, 143]}, {\"cell\": \"−85.52 ± 1.76\", \"bbox\": [441, 127, 492, 143]}, {\"cell\": \"Day 18\", \"bbox\": [2, 143, 28, 154]}, {\"cell\": \"−7.19 ± 1.37\", \"bbox\": [37, 140, 84, 156]}, {\"cell\": \"−91.69 ± 1.61###\", \"bbox\": [92, 140, 151, 156]}, {\"cell\": \"−90.88 ± 2.42\", \"bbox\": [163, 140, 214, 156]}, {\"cell\": \"−82.42 ± 9.04\", \"bbox\": [232, 140, 282, 156]}, {\"cell\": \"−93.91 ± 5.52\", \"bbox\": [300, 140, 351, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [370, 140, 420, 156]}, {\"cell\": \"−88.24 ± 2.00\", \"bbox\": [441, 140, 492, 156]}, {\"cell\": \"Day 21\", \"bbox\": [2, 156, 28, 167]}, {\"cell\": \"−7.48 ± 1.75\", \"bbox\": [37, 154, 84, 169]}, {\"cell\": \"−91.53 ± 1.77###\", \"bbox\": [92, 154, 151, 169]}, {\"cell\": \"−89.15 ± 2.74\", \"bbox\": [163, 154, 214, 169]}, {\"cell\": \"−81.45 ± 10.32\", \"bbox\": [229, 154, 284, 169]}, {\"cell\": \"−89.85 ± 3.63\", \"bbox\": [300, 154, 351, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [370, 154, 420, 169]}, {\"cell\": \"−87.57 ± 1.88\", \"bbox\": [441, 154, 492, 169]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4410543_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]TKR (n = 105)ap valueTHR (n = 117)bp valueTJR (n = 217)p value
Age (per year)0.96 (0.91–1.00)[EMPTY_CELL]0.97 (0.93–1.01)0.140.96 (0,93–0,99)0.01
Female sex1.08 (0.68–1.74)[EMPTY_CELL]1.12 (0.73–1.72)0.611.07 (0.78–1.48)0.67
BMI (per unit)1.13 (1.08–1.19)[EMPTY_CELL]1.01 (0.96–1.05)0.811.07 (1.03–1.10)0.0002
Finger length ratio (1–3)1.47 (1.07–2,03)[EMPTY_CELL]1.04 (0.79–1.36)0.781.22 (0.99–1.51)0.06
Hand OA severity (0–4)1.04 (0.89–1.22)[EMPTY_CELL]1.17 (1.02–1.34)0.031.11 (1.00–1.24))0.04
BMD (per 10 % of predicted)1,03 (0,96–1,10)[EMPTY_CELL]0,99 (0,92–1,05)0,671.00 (0,96–1,05)0,94
Previous TKR4.94 (2.42–7.71)[EMPTY_CELL]0.80 (0.37–1.72))0.561.91 (1.16–3.14)0.01
Previous THR1.28 (0.68–2.40)[EMPTY_CELL]3.56 (2.04–6.22)<0.00012.10 (1.30–3.39)0.003
Knee symptomsc6.77 (3.87–11.85)[EMPTY_CELL]0.97 (0.65–1.46)0.902.11 (1.56–2.87)<0.0001
Hip symptomsc0.77 (0.47–1.27)[EMPTY_CELL]2.92 (1.93–4.41)<0.00011.61 (1.17–2.22)0.004
AUC (95 % CI):0.84 (0.81–0.88)[EMPTY_CELL]0.71 (0.68–0.75)
R2: Cragg-Uhler (Nagelkerke):0.22[EMPTY_CELL]0.08[EMPTY_CELL]0.10[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TKR (n = 105)a\", \"bbox\": [119, 2, 165, 13]}, {\"cell\": \"p value\", \"bbox\": [199, 4, 224, 13]}, {\"cell\": \"THR (n = 117)b\", \"bbox\": [250, 2, 298, 13]}, {\"cell\": \"p value\", \"bbox\": [328, 4, 353, 13]}, {\"cell\": \"TJR (n = 217)\", \"bbox\": [380, 4, 422, 13]}, {\"cell\": \"p value\", \"bbox\": [457, 4, 482, 13]}, {\"cell\": \"Age (per year)\", \"bbox\": [1, 17, 48, 27]}, {\"cell\": \"0.96 (0.91–1.00)\", \"bbox\": [119, 17, 170, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 17, 213, 27]}, {\"cell\": \"0.97 (0.93–1.01)\", \"bbox\": [250, 17, 301, 27]}, {\"cell\": \"0.14\", \"bbox\": [328, 17, 343, 27]}, {\"cell\": \"0.96 (0,93–0,99)\", \"bbox\": [380, 17, 431, 27]}, {\"cell\": \"0.01\", \"bbox\": [457, 17, 472, 27]}, {\"cell\": \"Female sex\", \"bbox\": [1, 31, 38, 41]}, {\"cell\": \"1.08 (0.68–1.74)\", \"bbox\": [119, 31, 170, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 31, 213, 41]}, {\"cell\": \"1.12 (0.73–1.72)\", \"bbox\": [250, 31, 301, 41]}, {\"cell\": \"0.61\", \"bbox\": [328, 31, 343, 41]}, {\"cell\": \"1.07 (0.78–1.48)\", \"bbox\": [380, 31, 431, 41]}, {\"cell\": \"0.67\", \"bbox\": [457, 31, 472, 41]}, {\"cell\": \"BMI (per unit)\", \"bbox\": [1, 45, 46, 55]}, {\"cell\": \"1.13 (1.08–1.19)\", \"bbox\": [119, 45, 170, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 45, 226, 55]}, {\"cell\": \"1.01 (0.96–1.05)\", \"bbox\": [250, 45, 301, 55]}, {\"cell\": \"0.81\", \"bbox\": [328, 45, 343, 55]}, {\"cell\": \"1.07 (1.03–1.10)\", \"bbox\": [380, 45, 431, 55]}, {\"cell\": \"0.0002\", \"bbox\": [457, 45, 480, 55]}, {\"cell\": \"Finger length ratio (1–3)\", \"bbox\": [1, 59, 80, 69]}, {\"cell\": \"1.47 (1.07–2,03)\", \"bbox\": [119, 59, 170, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 59, 213, 69]}, {\"cell\": \"1.04 (0.79–1.36)\", \"bbox\": [250, 59, 301, 69]}, {\"cell\": \"0.78\", \"bbox\": [328, 59, 343, 69]}, {\"cell\": \"1.22 (0.99–1.51)\", \"bbox\": [380, 59, 431, 69]}, {\"cell\": \"0.06\", \"bbox\": [457, 59, 472, 69]}, {\"cell\": \"Hand OA severity (0–4)\", \"bbox\": [1, 73, 77, 83]}, {\"cell\": \"1.04 (0.89–1.22)\", \"bbox\": [119, 73, 170, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 73, 213, 83]}, {\"cell\": \"1.17 (1.02–1.34)\", \"bbox\": [250, 73, 301, 83]}, {\"cell\": \"0.03\", \"bbox\": [328, 73, 343, 83]}, {\"cell\": \"1.11 (1.00–1.24))\", \"bbox\": [380, 73, 433, 83]}, {\"cell\": \"0.04\", \"bbox\": [457, 73, 472, 83]}, {\"cell\": \"BMD (per 10 % of predicted)\", \"bbox\": [1, 87, 95, 97]}, {\"cell\": \"1,03 (0,96–1,10)\", \"bbox\": [119, 87, 170, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 87, 210, 97]}, {\"cell\": \"0,99 (0,92–1,05)\", \"bbox\": [250, 87, 301, 97]}, {\"cell\": \"0,67\", \"bbox\": [328, 87, 343, 97]}, {\"cell\": \"1.00 (0,96–1,05)\", \"bbox\": [380, 87, 431, 97]}, {\"cell\": \"0,94\", \"bbox\": [457, 87, 472, 97]}, {\"cell\": \"Previous TKR\", \"bbox\": [1, 101, 43, 111]}, {\"cell\": \"4.94 (2.42–7.71)\", \"bbox\": [119, 101, 170, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 101, 226, 111]}, {\"cell\": \"0.80 (0.37–1.72))\", \"bbox\": [250, 101, 303, 111]}, {\"cell\": \"0.56\", \"bbox\": [328, 101, 343, 111]}, {\"cell\": \"1.91 (1.16–3.14)\", \"bbox\": [380, 101, 431, 111]}, {\"cell\": \"0.01\", \"bbox\": [457, 101, 472, 111]}, {\"cell\": \"Previous THR\", \"bbox\": [1, 115, 44, 125]}, {\"cell\": \"1.28 (0.68–2.40)\", \"bbox\": [119, 115, 170, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 115, 213, 125]}, {\"cell\": \"3.56 (2.04–6.22)\", \"bbox\": [250, 115, 301, 125]}, {\"cell\": \"<0.0001\", \"bbox\": [328, 115, 355, 125]}, {\"cell\": \"2.10 (1.30–3.39)\", \"bbox\": [380, 115, 431, 125]}, {\"cell\": \"0.003\", \"bbox\": [457, 115, 476, 125]}, {\"cell\": \"Knee symptomsc\", \"bbox\": [1, 127, 57, 139]}, {\"cell\": \"6.77 (3.87–11.85)\", \"bbox\": [119, 129, 174, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 129, 226, 139]}, {\"cell\": \"0.97 (0.65–1.46)\", \"bbox\": [250, 129, 301, 139]}, {\"cell\": \"0.90\", \"bbox\": [328, 129, 343, 139]}, {\"cell\": \"2.11 (1.56–2.87)\", \"bbox\": [380, 129, 431, 139]}, {\"cell\": \"<0.0001\", \"bbox\": [457, 129, 484, 139]}, {\"cell\": \"Hip symptomsc\", \"bbox\": [1, 141, 52, 153]}, {\"cell\": \"0.77 (0.47–1.27)\", \"bbox\": [119, 143, 170, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 143, 213, 153]}, {\"cell\": \"2.92 (1.93–4.41)\", \"bbox\": [250, 143, 301, 153]}, {\"cell\": \"<0.0001\", \"bbox\": [328, 143, 355, 153]}, {\"cell\": \"1.61 (1.17–2.22)\", \"bbox\": [380, 143, 431, 153]}, {\"cell\": \"0.004\", \"bbox\": [457, 143, 476, 153]}, {\"cell\": \"AUC (95 % CI):\", \"bbox\": [1, 157, 47, 166]}, {\"cell\": \"0.84 (0.81–0.88)\", \"bbox\": [119, 157, 170, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 157, 301, 167]}, {\"cell\": \"0.71 (0.68–0.75)\", \"bbox\": [380, 157, 431, 167]}, {\"cell\": \"R2: Cragg-Uhler (Nagelkerke):\", \"bbox\": [1, 169, 91, 180]}, {\"cell\": \"0.22\", \"bbox\": [119, 171, 134, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.08\", \"bbox\": [250, 171, 265, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.10\", \"bbox\": [380, 171, 394, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4711057_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]All natural deathsRespiratory deathsCardiovascular deathsCerebrovascular deaths
City% increase(90% CI)% increase(90% CI)% increase(90% CI)% increase(90% CI)
[EMPTY_CELL]21.6(18.5 - 24.8)34.5(24.6 - 45.2)28.4(24.0 - 33.0)33.0(25.9 - 40.4)
[EMPTY_CELL]15.6(11.0 - 20.4)41.3(26.4 - 57.9)21.4(14.0 - 29.4)25.1(12.4 - 39.3)
[EMPTY_CELL]21.1(17.3 - 24.9)20.6(2.6 - 41.7)24.1(19.3 - 29.1)24.6(15.6 - 34.4)
[EMPTY_CELL]10.4(8.6 - 12.2)18.0(13.4 - 22.8)9.3(6.6 - 12.1)10.6(5.2 - 16.3)
[EMPTY_CELL]33.6(28.5 - 39.0)92.5(72.3 - 115.1)39.2(31.2 - 47.6)49.8(35.6 - 65.6)
[EMPTY_CELL]7.6(3.8 - 11.5)3.9(-0.8 - 30.8)8.2(2.8 - 13.9)14.7(2.4 - 28.6)
[EMPTY_CELL]11.4(10.0 - 12.9)27.7(19.4 - 36.6)12.3(8.5 - 16.2)19.7(12.1 - 27.8)
[EMPTY_CELL]26.8(23.4 - 30.4)66.9(51.9 - 83.3)37.8(32.5 - 43.3)48.0(38.0 - 58.8)
[EMPTY_CELL]8.5(1.2 - 16.3)32.4(9.1 - 60.7)20.1(7.9 - 33.6)1.4(-17.4 - 24.4)
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"All natural deaths\", \"bbox\": [76, 3, 141, 13]}, {\"cell\": \"Respiratory deaths\", \"bbox\": [181, 3, 250, 13]}, {\"cell\": \"Cardiovascular deaths\", \"bbox\": [282, 3, 363, 13]}, {\"cell\": \"Cerebrovascular deaths\", \"bbox\": [387, 3, 473, 13]}, {\"cell\": \"City\", \"bbox\": [5, 29, 21, 39]}, {\"cell\": \"% increase\", \"bbox\": [65, 29, 106, 39]}, {\"cell\": \"(90% CI)\", \"bbox\": [128, 29, 159, 39]}, {\"cell\": \"% increase\", \"bbox\": [172, 29, 213, 39]}, {\"cell\": \"(90% CI)\", \"bbox\": [235, 29, 266, 39]}, {\"cell\": \"% increase\", \"bbox\": [280, 29, 320, 39]}, {\"cell\": \"(90% CI)\", \"bbox\": [342, 29, 373, 39]}, {\"cell\": \"% increase\", \"bbox\": [387, 29, 427, 39]}, {\"cell\": \"(90% CI)\", \"bbox\": [449, 29, 480, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 55, 32, 65]}, {\"cell\": \"21.6\", \"bbox\": [90, 56, 106, 64]}, {\"cell\": \"(18.5 - 24.8)\", \"bbox\": [119, 56, 159, 64]}, {\"cell\": \"34.5\", \"bbox\": [197, 56, 213, 64]}, {\"cell\": \"(24.6 - 45.2)\", \"bbox\": [226, 56, 266, 64]}, {\"cell\": \"28.4\", \"bbox\": [304, 56, 320, 64]}, {\"cell\": \"(24.0 - 33.0)\", \"bbox\": [333, 56, 373, 64]}, {\"cell\": \"33.0\", \"bbox\": [411, 56, 427, 64]}, {\"cell\": \"(25.9 - 40.4)\", \"bbox\": [440, 56, 480, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 69, 42, 79]}, {\"cell\": \"15.6\", \"bbox\": [90, 69, 106, 78]}, {\"cell\": \"(11.0 - 20.4)\", \"bbox\": [119, 69, 159, 78]}, {\"cell\": \"41.3\", \"bbox\": [197, 69, 213, 78]}, {\"cell\": \"(26.4 - 57.9)\", \"bbox\": [226, 69, 266, 78]}, {\"cell\": \"21.4\", \"bbox\": [304, 69, 320, 78]}, {\"cell\": \"(14.0 - 29.4)\", \"bbox\": [333, 69, 373, 78]}, {\"cell\": \"25.1\", \"bbox\": [411, 69, 427, 78]}, {\"cell\": \"(12.4 - 39.3)\", \"bbox\": [440, 69, 480, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 83, 40, 93]}, {\"cell\": \"21.1\", \"bbox\": [90, 83, 106, 92]}, {\"cell\": \"(17.3 - 24.9)\", \"bbox\": [119, 83, 159, 92]}, {\"cell\": \"20.6\", \"bbox\": [197, 83, 213, 92]}, {\"cell\": \"(2.6 - 41.7)\", \"bbox\": [230, 83, 266, 92]}, {\"cell\": \"24.1\", \"bbox\": [304, 83, 320, 92]}, {\"cell\": \"(19.3 - 29.1)\", \"bbox\": [333, 83, 373, 92]}, {\"cell\": \"24.6\", \"bbox\": [411, 83, 427, 92]}, {\"cell\": \"(15.6 - 34.4)\", \"bbox\": [440, 83, 480, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 97, 34, 107]}, {\"cell\": \"10.4\", \"bbox\": [90, 98, 106, 106]}, {\"cell\": \"(8.6 - 12.2)\", \"bbox\": [123, 98, 159, 106]}, {\"cell\": \"18.0\", \"bbox\": [197, 98, 213, 106]}, {\"cell\": \"(13.4 - 22.8)\", \"bbox\": [226, 98, 266, 106]}, {\"cell\": \"9.3\", \"bbox\": [308, 98, 320, 106]}, {\"cell\": \"(6.6 - 12.1)\", \"bbox\": [337, 98, 373, 106]}, {\"cell\": \"10.6\", \"bbox\": [411, 98, 427, 106]}, {\"cell\": \"(5.2 - 16.3)\", \"bbox\": [444, 98, 480, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 111, 27, 121]}, {\"cell\": \"33.6\", \"bbox\": [90, 111, 106, 120]}, {\"cell\": \"(28.5 - 39.0)\", \"bbox\": [119, 111, 159, 120]}, {\"cell\": \"92.5\", \"bbox\": [197, 111, 213, 120]}, {\"cell\": \"(72.3 - 115.1)\", \"bbox\": [222, 111, 266, 120]}, {\"cell\": \"39.2\", \"bbox\": [304, 111, 320, 120]}, {\"cell\": \"(31.2 - 47.6)\", \"bbox\": [333, 111, 373, 120]}, {\"cell\": \"49.8\", \"bbox\": [411, 111, 427, 120]}, {\"cell\": \"(35.6 - 65.6)\", \"bbox\": [440, 111, 480, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 125, 33, 135]}, {\"cell\": \"7.6\", \"bbox\": [94, 125, 106, 134]}, {\"cell\": \"(3.8 - 11.5)\", \"bbox\": [123, 125, 159, 134]}, {\"cell\": \"3.9\", \"bbox\": [201, 125, 213, 134]}, {\"cell\": \"(-0.8 - 30.8)\", \"bbox\": [228, 125, 266, 134]}, {\"cell\": \"8.2\", \"bbox\": [308, 125, 320, 134]}, {\"cell\": \"(2.8 - 13.9)\", \"bbox\": [337, 125, 373, 134]}, {\"cell\": \"14.7\", \"bbox\": [411, 125, 427, 134]}, {\"cell\": \"(2.4 - 28.6)\", \"bbox\": [444, 125, 480, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 139, 24, 149]}, {\"cell\": \"11.4\", \"bbox\": [90, 140, 106, 148]}, {\"cell\": \"(10.0 - 12.9)\", \"bbox\": [119, 140, 159, 148]}, {\"cell\": \"27.7\", \"bbox\": [197, 140, 213, 148]}, {\"cell\": \"(19.4 - 36.6)\", \"bbox\": [226, 140, 266, 148]}, {\"cell\": \"12.3\", \"bbox\": [304, 140, 320, 148]}, {\"cell\": \"(8.5 - 16.2)\", \"bbox\": [337, 140, 373, 148]}, {\"cell\": \"19.7\", \"bbox\": [411, 140, 427, 148]}, {\"cell\": \"(12.1 - 27.8)\", \"bbox\": [440, 140, 480, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 153, 27, 163]}, {\"cell\": \"26.8\", \"bbox\": [90, 153, 106, 162]}, {\"cell\": \"(23.4 - 30.4)\", \"bbox\": [119, 153, 159, 162]}, {\"cell\": \"66.9\", \"bbox\": [197, 153, 213, 162]}, {\"cell\": \"(51.9 - 83.3)\", \"bbox\": [226, 153, 266, 162]}, {\"cell\": \"37.8\", \"bbox\": [304, 153, 320, 162]}, {\"cell\": \"(32.5 - 43.3)\", \"bbox\": [333, 153, 373, 162]}, {\"cell\": \"48.0\", \"bbox\": [411, 153, 427, 162]}, {\"cell\": \"(38.0 - 58.8)\", \"bbox\": [440, 153, 480, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 167, 37, 177]}, {\"cell\": \"8.5\", \"bbox\": [94, 167, 106, 176]}, {\"cell\": \"(1.2 - 16.3)\", \"bbox\": [123, 167, 159, 176]}, {\"cell\": \"32.4\", \"bbox\": [197, 167, 213, 176]}, {\"cell\": \"(9.1 - 60.7)\", \"bbox\": [230, 167, 266, 176]}, {\"cell\": \"20.1\", \"bbox\": [304, 167, 320, 176]}, {\"cell\": \"(7.9 - 33.6)\", \"bbox\": [337, 167, 373, 176]}, {\"cell\": \"1.4\", \"bbox\": [415, 167, 427, 176]}, {\"cell\": \"(-17.4 - 24.4)\", \"bbox\": [438, 167, 480, 176]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2914717_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
CharacteristicsInstitutional delivery service utilizationCrude OR(95% CI)Adjusted OR(95% CI)
Yes (%)NO (%)
Religion
Christians42 (7.5)9 (1.6)1[EMPTY_CELL]
Muslim119 (21.2)391 (69.7)0.07 (0.03–0.14)[EMPTY_CELL]
Educational status
Unable to read and write47 (8.4)292 (52)1[EMPTY_CELL]
Read and write/elementary58 (10.3)97 (17.3)3.72 (2.37–5.82)[EMPTY_CELL]
Secondary school and above56 (10)11 (2)31.63 (15.46–64.72)[EMPTY_CELL]
Occupation
Housewife120 (21.4)374 (66.7)1[EMPTY_CELL]
employee (government/NGO)26 (4.6)15 (2.7)5.40 (2.77–10.54)[EMPTY_CELL]
Other (Petty trade/Student/Laboror)15 (2.7)11 (2)4.25 (1.90–9.50)[EMPTY_CELL]
Household size
1–4118 (21)211 (37.6)1[EMPTY_CELL]
5 and above43 (7.7)189 (33.7)0.41 (0.27–0.61)[EMPTY_CELL]
Educational level of the husband
Unable to read and write40 (7.1)199 (35.5)1[EMPTY_CELL]
Read and write/elementary58 (10.3)167 (29.8)5.40 (2.77–10.54)[EMPTY_CELL]
Secondary school and above63 (11.2)34 (6.1)4.25 (1.90–9.50)[EMPTY_CELL]
Birth Order
159 (10.5)39 (7)1[EMPTY_CELL]
2–381 (14.4)219 (39)0.24 (0.15–0.39)[EMPTY_CELL]
4–516 (2.9)110 (19.6)0.96 (0.05–0.19[EMPTY_CELL]
6+5 (0.9)32 (5.7)0.10 (0.04–0.29[EMPTY_CELL]
Knowledge about pregnancy complications
No44 (7.9)236 (42.5)1[EMPTY_CELL]
Yes117 (21.1)158 (28.5)3.97 (2.66–5.93)[EMPTY_CELL]
Visit facility for ANC
No11 (2)133 (23.7)1[EMPTY_CELL]
Yes150 (26.7)267 (47.6)6.79 (5.59–12.97)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Characteristics\", \"bbox\": [1, 4, 48, 13]}, {\"cell\": \"Institutional delivery service utilization\", \"bbox\": [155, 4, 279, 13]}, {\"cell\": \"Crude OR(95% CI)\", \"bbox\": [334, 4, 367, 22]}, {\"cell\": \"Adjusted OR(95% CI)\", \"bbox\": [427, 4, 469, 22]}, {\"cell\": \"Yes (%)\", \"bbox\": [155, 17, 180, 27]}, {\"cell\": \"NO (%)\", \"bbox\": [245, 17, 269, 27]}, {\"cell\": \"Religion\", \"bbox\": [1, 30, 28, 40]}, {\"cell\": \" Christians\", \"bbox\": [9, 44, 41, 54]}, {\"cell\": \"42 (7.5)\", \"bbox\": [155, 44, 180, 54]}, {\"cell\": \"9 (1.6)\", \"bbox\": [245, 44, 266, 54]}, {\"cell\": \"1\", \"bbox\": [334, 44, 340, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [427, 44, 432, 54]}, {\"cell\": \" Muslim\", \"bbox\": [9, 58, 34, 68]}, {\"cell\": \"119 (21.2)\", \"bbox\": [155, 58, 188, 68]}, {\"cell\": \"391 (69.7)\", \"bbox\": [245, 58, 278, 68]}, {\"cell\": \"0.07 (0.03–0.14)\", \"bbox\": [334, 58, 385, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [427, 58, 481, 68]}, {\"cell\": \"Educational status\", \"bbox\": [1, 72, 60, 82]}, {\"cell\": \" Unable to read and write\", \"bbox\": [9, 86, 91, 96]}, {\"cell\": \"47 (8.4)\", \"bbox\": [155, 86, 180, 96]}, {\"cell\": \"292 (52)\", \"bbox\": [245, 86, 272, 96]}, {\"cell\": \"1\", \"bbox\": [334, 86, 340, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [427, 86, 432, 96]}, {\"cell\": \" Read and write/elementary\", \"bbox\": [9, 100, 97, 110]}, {\"cell\": \"58 (10.3)\", \"bbox\": [155, 100, 184, 110]}, {\"cell\": \"97 (17.3)\", \"bbox\": [245, 100, 274, 110]}, {\"cell\": \"3.72 (2.37–5.82)\", \"bbox\": [334, 100, 385, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [427, 100, 481, 110]}, {\"cell\": \" Secondary school and above\", \"bbox\": [9, 114, 103, 124]}, {\"cell\": \"56 (10)\", \"bbox\": [155, 114, 179, 124]}, {\"cell\": \"11 (2)\", \"bbox\": [245, 114, 265, 124]}, {\"cell\": \"31.63 (15.46–64.72)\", \"bbox\": [334, 114, 397, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [427, 114, 484, 124]}, {\"cell\": \"Occupation\", \"bbox\": [1, 128, 39, 138]}, {\"cell\": \" Housewife\", \"bbox\": [9, 142, 44, 152]}, {\"cell\": \"120 (21.4)\", \"bbox\": [155, 142, 188, 152]}, {\"cell\": \"374 (66.7)\", \"bbox\": [245, 142, 278, 152]}, {\"cell\": \"1\", \"bbox\": [334, 142, 340, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [427, 142, 432, 152]}, {\"cell\": \" employee (government/NGO)\", \"bbox\": [9, 156, 106, 166]}, {\"cell\": \"26 (4.6)\", \"bbox\": [155, 156, 180, 166]}, {\"cell\": \"15 (2.7)\", \"bbox\": [245, 156, 270, 166]}, {\"cell\": \"5.40 (2.77–10.54)\", \"bbox\": [334, 156, 389, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [427, 156, 474, 166]}, {\"cell\": \" Other (Petty trade/Student/Laboror)\", \"bbox\": [9, 170, 125, 180]}, {\"cell\": \"15 (2.7)\", \"bbox\": [155, 170, 180, 180]}, {\"cell\": \"11 (2)\", \"bbox\": [245, 170, 265, 180]}, {\"cell\": \"4.25 (1.90–9.50)\", \"bbox\": [334, 170, 385, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [427, 170, 474, 180]}, {\"cell\": \"Household size\", \"bbox\": [1, 184, 51, 194]}, {\"cell\": \" 1–4\", \"bbox\": [8, 198, 22, 208]}, {\"cell\": \"118 (21)\", \"bbox\": [155, 198, 183, 208]}, {\"cell\": \"211 (37.6)\", \"bbox\": [245, 198, 278, 208]}, {\"cell\": \"1\", \"bbox\": [334, 198, 340, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 5 and above\", \"bbox\": [8, 212, 51, 222]}, {\"cell\": \"43 (7.7)\", \"bbox\": [155, 212, 180, 222]}, {\"cell\": \"189 (33.7)\", \"bbox\": [245, 212, 278, 222]}, {\"cell\": \"0.41 (0.27–0.61)\", \"bbox\": [334, 212, 385, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [427, 212, 478, 222]}, {\"cell\": \"Educational level of the husband\", \"bbox\": [1, 226, 108, 236]}, {\"cell\": \" Unable to read and write\", \"bbox\": [8, 240, 91, 250]}, {\"cell\": \"40 (7.1)\", \"bbox\": [155, 240, 180, 250]}, {\"cell\": \"199 (35.5)\", \"bbox\": [245, 240, 278, 250]}, {\"cell\": \"1\", \"bbox\": [334, 240, 340, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [427, 240, 432, 250]}, {\"cell\": \" Read and write/elementary\", \"bbox\": [8, 254, 97, 264]}, {\"cell\": \"58 (10.3)\", \"bbox\": [155, 254, 184, 264]}, {\"cell\": \"167 (29.8)\", \"bbox\": [245, 254, 278, 264]}, {\"cell\": \"5.40 (2.77–10.54)\", \"bbox\": [334, 254, 389, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [427, 254, 478, 264]}, {\"cell\": \" Secondary school and above\", \"bbox\": [8, 268, 103, 278]}, {\"cell\": \"63 (11.2)\", \"bbox\": [155, 268, 184, 278]}, {\"cell\": \"34 (6.1)\", \"bbox\": [245, 268, 270, 278]}, {\"cell\": \"4.25 (1.90–9.50)\", \"bbox\": [334, 268, 385, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [427, 268, 478, 278]}, {\"cell\": \"Birth Order\", \"bbox\": [1, 282, 38, 292]}, {\"cell\": \" 1\", \"bbox\": [8, 296, 14, 306]}, {\"cell\": \"59 (10.5)\", \"bbox\": [155, 296, 184, 306]}, {\"cell\": \"39 (7)\", \"bbox\": [245, 296, 265, 306]}, {\"cell\": \"1\", \"bbox\": [334, 296, 340, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [427, 296, 432, 306]}, {\"cell\": \" 2–3\", \"bbox\": [8, 310, 22, 320]}, {\"cell\": \"81 (14.4)\", \"bbox\": [155, 310, 184, 320]}, {\"cell\": \"219 (39)\", \"bbox\": [245, 310, 272, 320]}, {\"cell\": \"0.24 (0.15–0.39)\", \"bbox\": [334, 310, 385, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [427, 310, 481, 320]}, {\"cell\": \" 4–5\", \"bbox\": [8, 324, 22, 334]}, {\"cell\": \"16 (2.9)\", \"bbox\": [155, 324, 180, 334]}, {\"cell\": \"110 (19.6)\", \"bbox\": [245, 324, 278, 334]}, {\"cell\": \"0.96 (0.05–0.19\", \"bbox\": [334, 324, 383, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [427, 324, 481, 334]}, {\"cell\": \" 6+\", \"bbox\": [8, 338, 19, 348]}, {\"cell\": \"5 (0.9)\", \"bbox\": [155, 338, 176, 348]}, {\"cell\": \"32 (5.7)\", \"bbox\": [245, 338, 270, 348]}, {\"cell\": \"0.10 (0.04–0.29\", \"bbox\": [334, 338, 383, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [427, 338, 478, 348]}, {\"cell\": \"Knowledge about pregnancy complications\", \"bbox\": [1, 352, 143, 362]}, {\"cell\": \" No\", \"bbox\": [8, 366, 20, 376]}, {\"cell\": \"44 (7.9)\", \"bbox\": [155, 366, 180, 376]}, {\"cell\": \"236 (42.5)\", \"bbox\": [245, 366, 278, 376]}, {\"cell\": \"1\", \"bbox\": [334, 366, 340, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [427, 366, 432, 376]}, {\"cell\": \" Yes\", \"bbox\": [8, 380, 21, 390]}, {\"cell\": \"117 (21.1)\", \"bbox\": [155, 380, 188, 390]}, {\"cell\": \"158 (28.5)\", \"bbox\": [245, 380, 278, 390]}, {\"cell\": \"3.97 (2.66–5.93)\", \"bbox\": [334, 380, 385, 390]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [427, 380, 481, 390]}, {\"cell\": \"Visit facility for ANC\", \"bbox\": [1, 394, 65, 404]}, {\"cell\": \" No\", \"bbox\": [8, 408, 20, 418]}, {\"cell\": \"11 (2)\", \"bbox\": [155, 408, 175, 418]}, {\"cell\": \"133 (23.7)\", \"bbox\": [245, 408, 278, 418]}, {\"cell\": \"1\", \"bbox\": [334, 408, 340, 418]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [427, 408, 432, 418]}, {\"cell\": \" Yes\", \"bbox\": [8, 422, 21, 432]}, {\"cell\": \"150 (26.7)\", \"bbox\": [155, 422, 188, 432]}, {\"cell\": \"267 (47.6)\", \"bbox\": [245, 422, 278, 432]}, {\"cell\": \"6.79 (5.59–12.97)\", \"bbox\": [334, 422, 389, 432]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [427, 422, 481, 432]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5237279_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Control (n = 33)RBD (n = 88)PD (n = 65)P value RBD vs. controlP value RBD vs. PD
Age (years)68.4 (8.94)[EMPTY_CELL]66.4 (5.65)0.310.70
Male (%)45.5[EMPTY_CELL]72.3[EMPTY_CELL]0.001
UPDRS scoren/a[EMPTY_CELL]41.8 (17.5)n/a[EMPTY_CELL]
MOCA score28.3 (1.44)[EMPTY_CELL]27.6 (2.30)[EMPTY_CELL][EMPTY_CELL]
BDI score4.91 (4.91)[EMPTY_CELL]10.2 (7.01)0.010.48
Total LARS score−29.1 (4.33)[EMPTY_CELL]−23.3 (6.85)[EMPTY_CELL]0.10
LARS intellectual curiosity score−3.30 (0.63)[EMPTY_CELL]−2.29 (1.07)[EMPTY_CELL]0.41
LARS emotion score−2.62 (1.03)[EMPTY_CELL]−2.32 (1.25)0.100.19
LARS action initiation score−3.76 (0.47)[EMPTY_CELL]−3.25 (0.89)[EMPTY_CELL]0.005
LARS self‐awareness score−3.12 (1.32)[EMPTY_CELL]−2.97 (1.32)0.002[EMPTY_CELL]
Mild apathy (%; LARS score ≥−21)3.0[EMPTY_CELL]30.80.0080.23
Moderate to severe apathy (%; LARS score ≥−16)3.0[EMPTY_CELL]18.50.220.40
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Control (n = 33)\", \"bbox\": [184, 7, 211, 26]}, {\"cell\": \"RBD (n = 88)\", \"bbox\": [241, 7, 268, 26]}, {\"cell\": \"PD (n = 65)\", \"bbox\": [298, 7, 326, 26]}, {\"cell\": \"P value RBD vs. control\", \"bbox\": [355, 7, 410, 26]}, {\"cell\": \"P value RBD vs. PD\", \"bbox\": [426, 7, 469, 26]}, {\"cell\": \"Age (years)\", \"bbox\": [1, 34, 39, 43]}, {\"cell\": \"68.4 (8.94)\", \"bbox\": [189, 34, 225, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [246, 34, 282, 43]}, {\"cell\": \"66.4 (5.65)\", \"bbox\": [303, 34, 339, 43]}, {\"cell\": \"0.31\", \"bbox\": [362, 34, 377, 43]}, {\"cell\": \"0.70\", \"bbox\": [433, 34, 448, 43]}, {\"cell\": \"Male (%)\", \"bbox\": [1, 44, 34, 53]}, {\"cell\": \"45.5\", \"bbox\": [189, 44, 205, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [246, 44, 262, 53]}, {\"cell\": \"72.3\", \"bbox\": [304, 44, 319, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [355, 44, 381, 51]}, {\"cell\": \"0.001\", \"bbox\": [433, 44, 452, 51]}, {\"cell\": \"UPDRS score\", \"bbox\": [1, 54, 48, 63]}, {\"cell\": \"n/a\", \"bbox\": [195, 54, 207, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [246, 54, 282, 63]}, {\"cell\": \"41.8 (17.5)\", \"bbox\": [303, 54, 339, 63]}, {\"cell\": \"n/a\", \"bbox\": [356, 54, 368, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [426, 54, 452, 61]}, {\"cell\": \"MOCA score\", \"bbox\": [1, 64, 46, 73]}, {\"cell\": \"28.3 (1.44)\", \"bbox\": [189, 64, 225, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [246, 64, 282, 73]}, {\"cell\": \"27.6 (2.30)\", \"bbox\": [303, 64, 339, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [355, 64, 381, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [426, 64, 452, 71]}, {\"cell\": \"BDI score\", \"bbox\": [1, 74, 35, 83]}, {\"cell\": \"4.91 (4.91)\", \"bbox\": [189, 74, 225, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [246, 74, 282, 83]}, {\"cell\": \"10.2 (7.01)\", \"bbox\": [303, 74, 339, 83]}, {\"cell\": \"0.01\", \"bbox\": [362, 74, 377, 81]}, {\"cell\": \"0.48\", \"bbox\": [433, 74, 448, 83]}, {\"cell\": \"Total LARS score\", \"bbox\": [0, 84, 62, 93]}, {\"cell\": \"−29.1 (4.33)\", \"bbox\": [184, 84, 225, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [241, 84, 282, 93]}, {\"cell\": \"−23.3 (6.85)\", \"bbox\": [298, 84, 339, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [355, 84, 381, 91]}, {\"cell\": \"0.10\", \"bbox\": [433, 84, 448, 93]}, {\"cell\": \"LARS intellectual curiosity score\", \"bbox\": [1, 94, 110, 103]}, {\"cell\": \"−3.30 (0.63)\", \"bbox\": [184, 94, 225, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [241, 94, 282, 103]}, {\"cell\": \"−2.29 (1.07)\", \"bbox\": [298, 94, 339, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [355, 94, 381, 101]}, {\"cell\": \"0.41\", \"bbox\": [433, 94, 448, 103]}, {\"cell\": \"LARS emotion score\", \"bbox\": [1, 104, 71, 113]}, {\"cell\": \"−2.62 (1.03)\", \"bbox\": [184, 104, 225, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [241, 104, 282, 113]}, {\"cell\": \"−2.32 (1.25)\", \"bbox\": [298, 104, 339, 113]}, {\"cell\": \"0.10\", \"bbox\": [362, 104, 377, 113]}, {\"cell\": \"0.19\", \"bbox\": [433, 104, 448, 113]}, {\"cell\": \"LARS action initiation score\", \"bbox\": [1, 114, 96, 123]}, {\"cell\": \"−3.76 (0.47)\", \"bbox\": [184, 114, 225, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [241, 114, 282, 123]}, {\"cell\": \"−3.25 (0.89)\", \"bbox\": [298, 114, 339, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [355, 114, 381, 121]}, {\"cell\": \"0.005\", \"bbox\": [433, 114, 452, 121]}, {\"cell\": \"LARS self‐awareness score\", \"bbox\": [1, 124, 90, 133]}, {\"cell\": \"−3.12 (1.32)\", \"bbox\": [184, 124, 225, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [241, 124, 282, 133]}, {\"cell\": \"−2.97 (1.32)\", \"bbox\": [298, 124, 339, 133]}, {\"cell\": \"0.002\", \"bbox\": [362, 124, 381, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [426, 124, 452, 131]}, {\"cell\": \"Mild apathy (%; LARS score ≥−21)\", \"bbox\": [1, 134, 121, 143]}, {\"cell\": \"3.0\", \"bbox\": [189, 134, 201, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [242, 134, 257, 143]}, {\"cell\": \"30.8\", \"bbox\": [299, 134, 314, 143]}, {\"cell\": \"0.008\", \"bbox\": [362, 134, 381, 141]}, {\"cell\": \"0.23\", \"bbox\": [433, 134, 448, 143]}, {\"cell\": \"Moderate to severe apathy (%; LARS score ≥−16)\", \"bbox\": [1, 144, 168, 153]}, {\"cell\": \"3.0\", \"bbox\": [189, 144, 201, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [242, 144, 257, 153]}, {\"cell\": \"18.5\", \"bbox\": [299, 144, 314, 153]}, {\"cell\": \"0.22\", \"bbox\": [362, 144, 377, 153]}, {\"cell\": \"0.40\", \"bbox\": [433, 144, 448, 153]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5838543_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]20062016[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Mean (SD)Mean (SD)[EMPTY_CELL]P1
[EMPTY_CELL]21.07 (1.66)20.98 (1.38)[EMPTY_CELL]0.739
[EMPTY_CELL]L1
[EMPTY_CELL]%%Adj. Res.P2 (Cr.’s V)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]39.336.20.60.601
[EMPTY_CELL]60.763.80.6
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]11.22.53.20.004 (0.178)
[EMPTY_CELL]67.480.42.9
[EMPTY_CELL]19.816.01.0
[EMPTY_CELL]1.71.20.3
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]78.983.41.10.299
[EMPTY_CELL]6.68.00.5
[EMPTY_CELL]11.25.52.0 ‡
[EMPTY_CELL]2.91.80.7
[EMPTY_CELL]0.40.60.3
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]23.615.32.0<0.001 (0.273)
[EMPTY_CELL]60.344.23.2
[EMPTY_CELL]16.140.55.5
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2006\", \"bbox\": [118, 4, 136, 14]}, {\"cell\": \"2016\", \"bbox\": [185, 4, 203, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Mean (SD)\", \"bbox\": [106, 19, 148, 29]}, {\"cell\": \"Mean (SD)\", \"bbox\": [173, 19, 215, 29]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"P1\", \"bbox\": [301, 17, 314, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 33, 45, 43]}, {\"cell\": \"21.07 (1.66)\", \"bbox\": [107, 33, 148, 43]}, {\"cell\": \"20.98 (1.38)\", \"bbox\": [173, 33, 215, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.739\", \"bbox\": [298, 33, 318, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"L1\", \"bbox\": [212, 47, 223, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"%\", \"bbox\": [123, 62, 132, 72]}, {\"cell\": \"%\", \"bbox\": [189, 62, 199, 72]}, {\"cell\": \"Adj. Res.\", \"bbox\": [233, 62, 269, 72]}, {\"cell\": \"P2 (Cr.’s V)\", \"bbox\": [286, 60, 330, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 76, 35, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [71, 86, 90, 96]}, {\"cell\": \"39.3\", \"bbox\": [119, 86, 135, 96]}, {\"cell\": \"36.2\", \"bbox\": [186, 86, 202, 96]}, {\"cell\": \"0.6\", \"bbox\": [245, 86, 257, 96]}, {\"cell\": \"0.601\", \"bbox\": [298, 91, 318, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [60, 96, 90, 106]}, {\"cell\": \"60.7\", \"bbox\": [119, 96, 135, 106]}, {\"cell\": \"63.8\", \"bbox\": [186, 96, 202, 106]}, {\"cell\": \"0.6\", \"bbox\": [245, 96, 257, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 110, 61, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [40, 120, 90, 130]}, {\"cell\": \"11.2\", \"bbox\": [119, 120, 135, 130]}, {\"cell\": \"2.5\", \"bbox\": [188, 120, 200, 130]}, {\"cell\": \"3.2\", \"bbox\": [245, 120, 257, 130]}, {\"cell\": \"0.004 (0.178)\", \"bbox\": [285, 135, 331, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [60, 130, 90, 140]}, {\"cell\": \"67.4\", \"bbox\": [119, 130, 135, 140]}, {\"cell\": \"80.4\", \"bbox\": [186, 130, 202, 140]}, {\"cell\": \"2.9\", \"bbox\": [245, 130, 257, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [45, 140, 90, 150]}, {\"cell\": \"19.8\", \"bbox\": [119, 140, 135, 150]}, {\"cell\": \"16.0\", \"bbox\": [186, 140, 202, 150]}, {\"cell\": \"1.0\", \"bbox\": [245, 140, 257, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [66, 150, 90, 160]}, {\"cell\": \"1.7\", \"bbox\": [121, 150, 133, 160]}, {\"cell\": \"1.2\", \"bbox\": [188, 150, 200, 160]}, {\"cell\": \"0.3\", \"bbox\": [245, 150, 257, 160]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 164, 67, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [84, 174, 90, 184]}, {\"cell\": \"78.9\", \"bbox\": [119, 174, 135, 184]}, {\"cell\": \"83.4\", \"bbox\": [186, 174, 202, 184]}, {\"cell\": \"1.1\", \"bbox\": [245, 174, 257, 184]}, {\"cell\": \"0.299\", \"bbox\": [298, 194, 318, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [76, 184, 90, 194]}, {\"cell\": \"6.6\", \"bbox\": [121, 184, 133, 194]}, {\"cell\": \"8.0\", \"bbox\": [188, 184, 200, 194]}, {\"cell\": \"0.5\", \"bbox\": [245, 184, 257, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [72, 194, 90, 204]}, {\"cell\": \"11.2\", \"bbox\": [119, 194, 135, 204]}, {\"cell\": \"5.5\", \"bbox\": [188, 194, 200, 204]}, {\"cell\": \"2.0 ‡\", \"bbox\": [242, 192, 259, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [68, 204, 90, 214]}, {\"cell\": \"2.9\", \"bbox\": [121, 204, 133, 214]}, {\"cell\": \"1.8\", \"bbox\": [188, 204, 200, 214]}, {\"cell\": \"0.7\", \"bbox\": [245, 204, 257, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [68, 214, 90, 224]}, {\"cell\": \"0.4\", \"bbox\": [121, 214, 133, 224]}, {\"cell\": \"0.6\", \"bbox\": [188, 214, 200, 224]}, {\"cell\": \"0.3\", \"bbox\": [245, 214, 257, 224]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 228, 85, 238]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [72, 238, 90, 248]}, {\"cell\": \"23.6\", \"bbox\": [119, 238, 135, 248]}, {\"cell\": \"15.3\", \"bbox\": [186, 238, 202, 248]}, {\"cell\": \"2.0\", \"bbox\": [245, 238, 257, 248]}, {\"cell\": \"<0.001 (0.273)\", \"bbox\": [282, 248, 333, 258]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [53, 248, 90, 258]}, {\"cell\": \"60.3\", \"bbox\": [119, 248, 135, 258]}, {\"cell\": \"44.2\", \"bbox\": [186, 248, 202, 258]}, {\"cell\": \"3.2\", \"bbox\": [245, 248, 257, 258]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [69, 258, 90, 268]}, {\"cell\": \"16.1\", \"bbox\": [119, 258, 135, 268]}, {\"cell\": \"40.5\", \"bbox\": [186, 258, 202, 268]}, {\"cell\": \"5.5\", \"bbox\": [245, 258, 257, 268]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5793292_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL][EMPTY_CELL]Sample CharacteristicsPrevalence (95% CI)
[EMPTY_CELL][EMPTY_CELL]Unweighted n (%)Weighted %Fibromyalgia %Major Depression %
SexMen52772 (45.8)49.10.4 (0.3–0.4)[EMPTY_CELL]
[EMPTY_CELL]Women62388 (54.2)50.92.0 (1.9–2.1)[EMPTY_CELL]
Age50 years +48707 (42.3)36.51.7 (1.5–1.9)[EMPTY_CELL]
[EMPTY_CELL]18 to 4966430 (57.7)63.50.3 (0.2–0.3)[EMPTY_CELL]
Income*High85851 (80.6)86.81.0 (0.9–1.1)[EMPTY_CELL]
[EMPTY_CELL]Low20626 (19.4)13.21.5 (1.3–1.7)[EMPTY_CELL]
Education**High60986 (53.5)57.11.2 (1.0–1.3)[EMPTY_CELL]
[EMPTY_CELL]Low53008 (46.5)42.91.3 (1.1–1.4)[EMPTY_CELL]
Marital Status***Married66888 (58.2)64.21.2 (1.1–1.4)[EMPTY_CELL]
[EMPTY_CELL]Unmarried48113 (41.8)35.81.1 (1.0–1.3)[EMPTY_CELL]
Total[EMPTY_CELL]115137 (100)1001.2 (1.1 – 1.3)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Sample Characteristics\", \"bbox\": [212, 4, 290, 14]}, {\"cell\": \"Prevalence (95% CI)\", \"bbox\": [382, 4, 452, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Unweighted n (%)\", \"bbox\": [178, 27, 240, 36]}, {\"cell\": \"Weighted %\", \"bbox\": [271, 27, 314, 36]}, {\"cell\": \"Fibromyalgia %\", \"bbox\": [350, 27, 402, 36]}, {\"cell\": \"Major Depression %\", \"bbox\": [424, 27, 494, 36]}, {\"cell\": \"Sex\", \"bbox\": [4, 49, 18, 59]}, {\"cell\": \"Men\", \"bbox\": [88, 49, 104, 59]}, {\"cell\": \"52772 (45.8)\", \"bbox\": [187, 49, 231, 59]}, {\"cell\": \"49.1\", \"bbox\": [284, 49, 301, 59]}, {\"cell\": \"0.4 (0.3–0.4)\", \"bbox\": [354, 49, 398, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [437, 49, 481, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Women\", \"bbox\": [88, 59, 117, 69]}, {\"cell\": \"62388 (54.2)\", \"bbox\": [187, 59, 231, 69]}, {\"cell\": \"50.9\", \"bbox\": [284, 59, 301, 69]}, {\"cell\": \"2.0 (1.9–2.1)\", \"bbox\": [354, 59, 398, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [437, 59, 481, 69]}, {\"cell\": \"Age\", \"bbox\": [4, 69, 19, 79]}, {\"cell\": \"50 years +\", \"bbox\": [88, 69, 125, 79]}, {\"cell\": \"48707 (42.3)\", \"bbox\": [187, 69, 231, 79]}, {\"cell\": \"36.5\", \"bbox\": [284, 69, 300, 79]}, {\"cell\": \"1.7 (1.5–1.9)\", \"bbox\": [354, 69, 398, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [437, 69, 481, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"18 to 49\", \"bbox\": [88, 79, 118, 89]}, {\"cell\": \"66430 (57.7)\", \"bbox\": [187, 79, 231, 89]}, {\"cell\": \"63.5\", \"bbox\": [284, 79, 301, 89]}, {\"cell\": \"0.3 (0.2–0.3)\", \"bbox\": [354, 79, 398, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [437, 79, 481, 89]}, {\"cell\": \"Income*\", \"bbox\": [4, 90, 35, 100]}, {\"cell\": \"High\", \"bbox\": [88, 90, 105, 100]}, {\"cell\": \"85851 (80.6)\", \"bbox\": [187, 90, 232, 100]}, {\"cell\": \"86.8\", \"bbox\": [284, 90, 301, 100]}, {\"cell\": \"1.0 (0.9–1.1)\", \"bbox\": [354, 90, 398, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [437, 90, 481, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Low\", \"bbox\": [88, 100, 104, 110]}, {\"cell\": \"20626 (19.4)\", \"bbox\": [187, 100, 231, 110]}, {\"cell\": \"13.2\", \"bbox\": [284, 100, 301, 110]}, {\"cell\": \"1.5 (1.3–1.7)\", \"bbox\": [354, 100, 398, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [435, 100, 483, 110]}, {\"cell\": \"Education**\", \"bbox\": [4, 110, 46, 120]}, {\"cell\": \"High\", \"bbox\": [88, 110, 105, 120]}, {\"cell\": \"60986 (53.5)\", \"bbox\": [187, 110, 232, 120]}, {\"cell\": \"57.1\", \"bbox\": [284, 110, 301, 120]}, {\"cell\": \"1.2 (1.0–1.3)\", \"bbox\": [354, 110, 398, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [437, 110, 481, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Low\", \"bbox\": [88, 120, 104, 130]}, {\"cell\": \"53008 (46.5)\", \"bbox\": [187, 120, 232, 130]}, {\"cell\": \"42.9\", \"bbox\": [284, 120, 301, 130]}, {\"cell\": \"1.3 (1.1–1.4)\", \"bbox\": [354, 120, 398, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [437, 120, 481, 130]}, {\"cell\": \"Marital Status***\", \"bbox\": [4, 131, 62, 141]}, {\"cell\": \"Married\", \"bbox\": [88, 131, 116, 141]}, {\"cell\": \"66888 (58.2)\", \"bbox\": [187, 131, 231, 141]}, {\"cell\": \"64.2\", \"bbox\": [284, 131, 301, 141]}, {\"cell\": \"1.2 (1.1–1.4)\", \"bbox\": [354, 131, 398, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [437, 131, 481, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Unmarried\", \"bbox\": [88, 141, 126, 151]}, {\"cell\": \"48113 (41.8)\", \"bbox\": [187, 141, 231, 151]}, {\"cell\": \"35.8\", \"bbox\": [284, 141, 301, 151]}, {\"cell\": \"1.1 (1.0–1.3)\", \"bbox\": [354, 141, 398, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 141, 487, 151]}, {\"cell\": \"Total\", \"bbox\": [4, 151, 24, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"115137 (100)\", \"bbox\": [186, 151, 233, 161]}, {\"cell\": \"100\", \"bbox\": [285, 151, 300, 161]}, {\"cell\": \"1.2 (1.1 – 1.3)\", \"bbox\": [351, 151, 400, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [435, 151, 483, 161]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC1360070_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
CharacteristicsPrevalence (%)*Rao-Scott χ2P values
[EMPTY_CELL][EMPTY_CELL]89.05<0.0001
[EMPTY_CELL]31.0 (27.4–34.7)[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]36.4 (33.6–39.3)[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]43.5 (40.2–46.9)[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]49.6 (46.0–53.1)[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]18.03<0.0001
[EMPTY_CELL]45.4 (42.8–48.0)[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]39.1 (36.6–41.7)[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]0.060.81
[EMPTY_CELL]43.0 (37.2–48.7)[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]42.1 (39.6–44.6)[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]404.57<0.0001
[EMPTY_CELL]35.3 (33.0–37.6)[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]30.0 (27.2–32.9)[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]73.5 (69.5–77.5)[EMPTY_CELL][EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Characteristics\", \"bbox\": [5, 15, 72, 25]}, {\"cell\": \"Prevalence (%)*\", \"bbox\": [77, 15, 147, 25]}, {\"cell\": \"Rao-Scott χ2\", \"bbox\": [153, 4, 199, 26]}, {\"cell\": \"P values\", \"bbox\": [206, 15, 244, 25]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 32, 47, 42]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"89.05\", \"bbox\": [158, 32, 183, 42]}, {\"cell\": \"<0.0001\", \"bbox\": [206, 32, 241, 42]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 45, 31, 55]}, {\"cell\": \"31.0 (27.4–34.7)\", \"bbox\": [77, 45, 144, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 59, 26, 70]}, {\"cell\": \"36.4 (33.6–39.3)\", \"bbox\": [77, 59, 144, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 74, 26, 84]}, {\"cell\": \"43.5 (40.2–46.9)\", \"bbox\": [77, 74, 144, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 88, 31, 99]}, {\"cell\": \"49.6 (46.0–53.1)\", \"bbox\": [77, 88, 144, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 103, 22, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"18.03\", \"bbox\": [158, 103, 183, 113]}, {\"cell\": \"<0.0001\", \"bbox\": [206, 103, 241, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 117, 36, 128]}, {\"cell\": \"45.4 (42.8–48.0)\", \"bbox\": [77, 117, 144, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 132, 34, 142]}, {\"cell\": \"39.1 (36.6–41.7)\", \"bbox\": [77, 132, 144, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 146, 29, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.06\", \"bbox\": [163, 146, 183, 156]}, {\"cell\": \"0.81\", \"bbox\": [211, 146, 231, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 160, 40, 171]}, {\"cell\": \"43.0 (37.2–48.7)\", \"bbox\": [77, 160, 144, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 175, 37, 185]}, {\"cell\": \"42.1 (39.6–44.6)\", \"bbox\": [77, 175, 144, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 189, 69, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"404.57\", \"bbox\": [153, 189, 183, 200]}, {\"cell\": \"<0.0001\", \"bbox\": [206, 189, 241, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 204, 72, 214]}, {\"cell\": \"35.3 (33.0–37.6)\", \"bbox\": [77, 204, 144, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 218, 75, 239]}, {\"cell\": \"30.0 (27.2–32.9)\", \"bbox\": [77, 218, 144, 229]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 242, 62, 264]}, {\"cell\": \"73.5 (69.5–77.5)\", \"bbox\": [77, 242, 144, 253]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC6009552_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariableValue
[EMPTY_CELL]52. 5 ± 11.9
[EMPTY_CELL]19/3
[EMPTY_CELL]8.7 ± 6.7
[EMPTY_CELL]16 (72.7)
[EMPTY_CELL]15 (68.1)
[EMPTY_CELL]10 (45.5)
[EMPTY_CELL]9 (41 %)
[EMPTY_CELL]19 (86.4 %)
[EMPTY_CELL]2 (9.1 %)
[EMPTY_CELL]2 (9.1 %)d
[EMPTY_CELL]12.4 ± 5.3
[EMPTY_CELL]22.5 ± 11.1
[EMPTY_CELL]
[EMPTY_CELL]12 (54.5)
[EMPTY_CELL]20 (91.0)
[EMPTY_CELL]19 (86.0)
[EMPTY_CELL]8 (36.4)
[EMPTY_CELL]
[EMPTY_CELL]25.8 ± 30.7
[EMPTY_CELL]27.1 ± 24.0
[EMPTY_CELL]39.3 ± 29.8
[EMPTY_CELL]10.4 ± 2.1
[EMPTY_CELL]16.6 ± 9.6
[EMPTY_CELL]3.7 ± 2.4
[EMPTY_CELL]2.6 ± 1.9
[EMPTY_CELL]7.7 ± 3.9
[EMPTY_CELL]2.9 ± 1.9
[EMPTY_CELL]3.1 ± 2.3
\", \"cells\": [{\"cell\": \"Variable\", \"bbox\": [1, 4, 27, 13]}, {\"cell\": \"Value\", \"bbox\": [198, 4, 218, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 38, 27]}, {\"cell\": \"52. 5 ± 11.9\", \"bbox\": [198, 17, 236, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 31, 60, 41]}, {\"cell\": \"19/3\", \"bbox\": [198, 31, 215, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 43, 90, 55]}, {\"cell\": \"8.7 ± 6.7\", \"bbox\": [198, 45, 226, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 59, 61, 69]}, {\"cell\": \"16 (72.7)\", \"bbox\": [198, 59, 227, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 71, 64, 83]}, {\"cell\": \"15 (68.1)\", \"bbox\": [198, 73, 227, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 85, 46, 97]}, {\"cell\": \"10 (45.5)\", \"bbox\": [198, 87, 227, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 101, 49, 111]}, {\"cell\": \"9 (41 %)\", \"bbox\": [198, 101, 227, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 115, 29, 125]}, {\"cell\": \"19 (86.4 %)\", \"bbox\": [198, 115, 236, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 129, 29, 139]}, {\"cell\": \"2 (9.1 %)\", \"bbox\": [198, 129, 228, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 143, 97, 153]}, {\"cell\": \"2 (9.1 %)d\", \"bbox\": [198, 141, 231, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 157, 117, 167]}, {\"cell\": \"12.4 ± 5.3\", \"bbox\": [198, 157, 230, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 171, 113, 181]}, {\"cell\": \"22.5 ± 11.1\", \"bbox\": [198, 171, 234, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 185, 93, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 199, 45, 209]}, {\"cell\": \"12 (54.5)\", \"bbox\": [198, 199, 227, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 213, 44, 223]}, {\"cell\": \"20 (91.0)\", \"bbox\": [198, 213, 227, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 227, 54, 237]}, {\"cell\": \"19 (86.0)\", \"bbox\": [198, 227, 227, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 241, 46, 251]}, {\"cell\": \"8 (36.4)\", \"bbox\": [198, 241, 224, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 255, 97, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 269, 45, 279]}, {\"cell\": \"25.8 ± 30.7\", \"bbox\": [198, 269, 234, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 283, 44, 293]}, {\"cell\": \"27.1 ± 24.0\", \"bbox\": [198, 283, 234, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 297, 54, 307]}, {\"cell\": \"39.3 ± 29.8\", \"bbox\": [198, 297, 234, 307]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 311, 46, 321]}, {\"cell\": \"10.4 ± 2.1\", \"bbox\": [198, 311, 230, 321]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 325, 133, 335]}, {\"cell\": \"16.6 ± 9.6\", \"bbox\": [198, 325, 230, 335]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 339, 115, 349]}, {\"cell\": \"3.7 ± 2.4\", \"bbox\": [198, 339, 226, 349]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 353, 126, 363]}, {\"cell\": \"2.6 ± 1.9\", \"bbox\": [198, 353, 226, 363]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 367, 95, 377]}, {\"cell\": \"7.7 ± 3.9\", \"bbox\": [198, 367, 226, 377]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 381, 98, 391]}, {\"cell\": \"2.9 ± 1.9\", \"bbox\": [198, 381, 226, 391]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 395, 41, 405]}, {\"cell\": \"3.1 ± 2.3\", \"bbox\": [198, 395, 226, 405]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5009650_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariableTotal Number (%)IgG PII positive (N = 1067)IgG PI positive (N = 1067)IgG PI/PII positive (N = 1067)qPCR positive (N = 448)Q fever positivea (%) (N = 1067)95 % (CI)P-value
Age Group (years)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
0–18131 (12.3)16[EMPTY_CELL]18017 (13.0)8.0–20.20.283
18+936 (87.7)165[EMPTY_CELL]17610156 (16.7)14.4–19.3
Total1067 (100 %)181 (17.0 %)[EMPTY_CELL]194 (18.2 %)10 (2.2 %)173 (16.2 %)14.1–18.7-
Gender[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Female580 (54.4)102[EMPTY_CELL]109496 (16.6)13.7–22.90.736
Male487 (45.6)79[EMPTY_CELL]85677 (15.8)12.6–19.4
Occupation[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Herder678 (63.5)140[EMPTY_CELL]1507134 (19.8)16.9–23.1<0.001
Civil servant142 (13.3)10[EMPTY_CELL]1009 (6.3)3.1–12.2
General merchandise74 (6.9)8[EMPTY_CELL]906 (8.1)3.3–17.4
Livestock trader59 (5.5)15[EMPTY_CELL]16215 (25.4)15.4–38.7
Student62 (5.8)4[EMPTY_CELL]505 (8.1)3.0–18.5
Others52 (4.9)4[EMPTY_CELL]414 (7.7)2.5–19.4
Education Level[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
None661 (61.9)129[EMPTY_CELL]1417130 (19.7)16.8–22.9<0.001
Post-secondary114 (10.7)12[EMPTY_CELL]12010 (8.8)4.5–15.9
Primary206 (19.3)36[EMPTY_CELL]37230 (14.6)10.2–20.3
Secondary86 (8.1)4[EMPTY_CELL]413 (3.5)1.1–9.8
Residence county[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Garissa531 (49.7)86[EMPTY_CELL]93683 (15.6)12.7–19.10.607
Wajir536 (50.3)95[EMPTY_CELL]101490 (16.8)13.8–20.3
Ethnic groups[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Somali963 (90.3)173[EMPTY_CELL]1888165 (17.1)14.8–19.70.004
Others104 (9.7)8[EMPTY_CELL]628 (7.7)3.6–15.4
Zoonosis knowledge[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Yes448 (42.0)62[EMPTY_CELL]67258 (12.9)10.0–16.5[EMPTY_CELL]
No619 (58.0)119[EMPTY_CELL]1278115 (18.6)15.6–21.90.012
Q Fever knowledge[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Yes5 (0.5)0[EMPTY_CELL]000--
No1062 (99.5)181[EMPTY_CELL]19410173 (16.2)14.1–18.7
\", \"cells\": [{\"cell\": \"Variable\", \"bbox\": [1, 4, 26, 13]}, {\"cell\": \"Total Number (%)\", \"bbox\": [79, 4, 134, 13]}, {\"cell\": \"IgG PII positive (N = 1067)\", \"bbox\": [143, 4, 223, 13]}, {\"cell\": \"IgG PI positive (N = 1067)\", \"bbox\": [233, 4, 311, 13]}, {\"cell\": \"IgG PI/PII positive (N = 1067)\", \"bbox\": [316, 4, 403, 13]}, {\"cell\": \"qPCR positive (N = 448)\", \"bbox\": [408, 4, 480, 13]}, {\"cell\": \"Q fever positivea (%) (N = 1067)\", \"bbox\": [486, 2, 582, 13]}, {\"cell\": \"95 % (CI)\", \"bbox\": [587, 4, 615, 13]}, {\"cell\": \"P-value\", \"bbox\": [622, 4, 645, 13]}, {\"cell\": \"Age Group (years)\", \"bbox\": [1, 16, 57, 25]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 0–18\", \"bbox\": [8, 30, 25, 39]}, {\"cell\": \"131 (12.3)\", \"bbox\": [79, 30, 110, 39]}, {\"cell\": \"16\", \"bbox\": [143, 30, 153, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 30, 242, 39]}, {\"cell\": \"18\", \"bbox\": [316, 30, 325, 39]}, {\"cell\": \"0\", \"bbox\": [408, 30, 414, 39]}, {\"cell\": \"17 (13.0)\", \"bbox\": [486, 30, 513, 39]}, {\"cell\": \"8.0–20.2\", \"bbox\": [587, 30, 613, 39]}, {\"cell\": \"0.283\", \"bbox\": [622, 30, 639, 39]}, {\"cell\": \" 18+\", \"bbox\": [8, 43, 22, 52]}, {\"cell\": \"936 (87.7)\", \"bbox\": [79, 43, 110, 52]}, {\"cell\": \"165\", \"bbox\": [143, 43, 156, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 43, 246, 52]}, {\"cell\": \"176\", \"bbox\": [316, 43, 329, 52]}, {\"cell\": \"10\", \"bbox\": [408, 43, 418, 52]}, {\"cell\": \"156 (16.7)\", \"bbox\": [486, 43, 516, 52]}, {\"cell\": \"14.4–19.3\", \"bbox\": [587, 43, 616, 52]}, {\"cell\": \"Total\", \"bbox\": [1, 57, 17, 66]}, {\"cell\": \"1067 (100 %)\", \"bbox\": [79, 57, 120, 66]}, {\"cell\": \"181 (17.0 %)\", \"bbox\": [143, 57, 182, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 57, 272, 66]}, {\"cell\": \"194 (18.2 %)\", \"bbox\": [316, 57, 355, 66]}, {\"cell\": \"10 (2.2 %)\", \"bbox\": [408, 57, 440, 66]}, {\"cell\": \"173 (16.2 %)\", \"bbox\": [486, 57, 524, 66]}, {\"cell\": \"14.1–18.7\", \"bbox\": [587, 57, 616, 66]}, {\"cell\": \"-\", \"bbox\": [622, 57, 626, 66]}, {\"cell\": \"Gender\", \"bbox\": [1, 70, 25, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Female\", \"bbox\": [8, 84, 32, 93]}, {\"cell\": \"580 (54.4)\", \"bbox\": [79, 84, 110, 93]}, {\"cell\": \"102\", \"bbox\": [143, 84, 156, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 84, 242, 93]}, {\"cell\": \"109\", \"bbox\": [316, 84, 329, 93]}, {\"cell\": \"4\", \"bbox\": [408, 84, 414, 93]}, {\"cell\": \"96 (16.6)\", \"bbox\": [486, 84, 513, 93]}, {\"cell\": \"13.7–22.9\", \"bbox\": [587, 84, 616, 93]}, {\"cell\": \"0.736\", \"bbox\": [622, 84, 639, 93]}, {\"cell\": \" Male\", \"bbox\": [8, 97, 24, 106]}, {\"cell\": \"487 (45.6)\", \"bbox\": [79, 97, 110, 106]}, {\"cell\": \"79\", \"bbox\": [143, 97, 153, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 97, 242, 106]}, {\"cell\": \"85\", \"bbox\": [316, 97, 325, 106]}, {\"cell\": \"6\", \"bbox\": [408, 97, 414, 106]}, {\"cell\": \"77 (15.8)\", \"bbox\": [486, 97, 513, 106]}, {\"cell\": \"12.6–19.4\", \"bbox\": [587, 97, 616, 106]}, {\"cell\": \"Occupation\", \"bbox\": [1, 111, 37, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Herder\", \"bbox\": [8, 124, 30, 133]}, {\"cell\": \"678 (63.5)\", \"bbox\": [79, 124, 110, 133]}, {\"cell\": \"140\", \"bbox\": [143, 124, 156, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 124, 246, 133]}, {\"cell\": \"150\", \"bbox\": [316, 124, 329, 133]}, {\"cell\": \"7\", \"bbox\": [408, 124, 414, 133]}, {\"cell\": \"134 (19.8)\", \"bbox\": [486, 124, 516, 133]}, {\"cell\": \"16.9–23.1\", \"bbox\": [587, 124, 616, 133]}, {\"cell\": \"<0.001\", \"bbox\": [622, 124, 644, 133]}, {\"cell\": \" Civil servant\", \"bbox\": [8, 138, 46, 147]}, {\"cell\": \"142 (13.3)\", \"bbox\": [79, 138, 110, 147]}, {\"cell\": \"10\", \"bbox\": [143, 138, 153, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 138, 239, 147]}, {\"cell\": \"10\", \"bbox\": [316, 138, 325, 147]}, {\"cell\": \"0\", \"bbox\": [408, 138, 414, 147]}, {\"cell\": \"9 (6.3)\", \"bbox\": [486, 138, 506, 147]}, {\"cell\": \"3.1–12.2\", \"bbox\": [587, 138, 613, 147]}, {\"cell\": \" General merchandise\", \"bbox\": [8, 151, 74, 160]}, {\"cell\": \"74 (6.9)\", \"bbox\": [79, 151, 102, 160]}, {\"cell\": \"8\", \"bbox\": [143, 151, 149, 160]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 151, 239, 160]}, {\"cell\": \"9\", \"bbox\": [316, 151, 322, 160]}, {\"cell\": \"0\", \"bbox\": [408, 151, 414, 160]}, {\"cell\": \"6 (8.1)\", \"bbox\": [486, 151, 506, 160]}, {\"cell\": \"3.3–17.4\", \"bbox\": [587, 151, 613, 160]}, {\"cell\": \" Livestock trader\", \"bbox\": [8, 165, 57, 174]}, {\"cell\": \"59 (5.5)\", \"bbox\": [79, 165, 102, 174]}, {\"cell\": \"15\", \"bbox\": [143, 165, 153, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 165, 242, 174]}, {\"cell\": \"16\", \"bbox\": [316, 165, 325, 174]}, {\"cell\": \"2\", \"bbox\": [408, 165, 414, 174]}, {\"cell\": \"15 (25.4)\", \"bbox\": [486, 165, 513, 174]}, {\"cell\": \"15.4–38.7\", \"bbox\": [587, 165, 616, 174]}, {\"cell\": \" Student\", \"bbox\": [8, 178, 34, 187]}, {\"cell\": \"62 (5.8)\", \"bbox\": [79, 178, 102, 187]}, {\"cell\": \"4\", \"bbox\": [143, 178, 149, 187]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 178, 239, 187]}, {\"cell\": \"5\", \"bbox\": [316, 178, 322, 187]}, {\"cell\": \"0\", \"bbox\": [408, 178, 414, 187]}, {\"cell\": \"5 (8.1)\", \"bbox\": [486, 178, 506, 187]}, {\"cell\": \"3.0–18.5\", \"bbox\": [587, 178, 613, 187]}, {\"cell\": \" Others\", \"bbox\": [8, 192, 30, 201]}, {\"cell\": \"52 (4.9)\", \"bbox\": [79, 192, 102, 201]}, {\"cell\": \"4\", \"bbox\": [143, 192, 149, 201]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 192, 239, 201]}, {\"cell\": \"4\", \"bbox\": [316, 192, 322, 201]}, {\"cell\": \"1\", \"bbox\": [408, 192, 414, 201]}, {\"cell\": \"4 (7.7)\", \"bbox\": [486, 192, 506, 201]}, {\"cell\": \"2.5–19.4\", \"bbox\": [587, 192, 613, 201]}, {\"cell\": \"Education Level\", \"bbox\": [1, 205, 50, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" None\", \"bbox\": [8, 219, 26, 228]}, {\"cell\": \"661 (61.9)\", \"bbox\": [79, 219, 110, 228]}, {\"cell\": \"129\", \"bbox\": [143, 219, 156, 228]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 219, 246, 228]}, {\"cell\": \"141\", \"bbox\": [316, 219, 329, 228]}, {\"cell\": \"7\", \"bbox\": [408, 219, 414, 228]}, {\"cell\": \"130 (19.7)\", \"bbox\": [486, 219, 516, 228]}, {\"cell\": \"16.8–22.9\", \"bbox\": [587, 219, 616, 228]}, {\"cell\": \"<0.001\", \"bbox\": [622, 219, 644, 228]}, {\"cell\": \" Post-secondary\", \"bbox\": [8, 232, 55, 241]}, {\"cell\": \"114 (10.7)\", \"bbox\": [79, 232, 110, 241]}, {\"cell\": \"12\", \"bbox\": [143, 232, 153, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 232, 242, 241]}, {\"cell\": \"12\", \"bbox\": [316, 232, 325, 241]}, {\"cell\": \"0\", \"bbox\": [408, 232, 414, 241]}, {\"cell\": \"10 (8.8)\", \"bbox\": [486, 232, 509, 241]}, {\"cell\": \"4.5–15.9\", \"bbox\": [587, 232, 613, 241]}, {\"cell\": \" Primary\", \"bbox\": [8, 246, 32, 255]}, {\"cell\": \"206 (19.3)\", \"bbox\": [79, 246, 110, 255]}, {\"cell\": \"36\", \"bbox\": [143, 246, 153, 255]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 246, 242, 255]}, {\"cell\": \"37\", \"bbox\": [316, 246, 325, 255]}, {\"cell\": \"2\", \"bbox\": [408, 246, 414, 255]}, {\"cell\": \"30 (14.6)\", \"bbox\": [486, 246, 513, 255]}, {\"cell\": \"10.2–20.3\", \"bbox\": [587, 246, 616, 255]}, {\"cell\": \" Secondary\", \"bbox\": [8, 259, 41, 268]}, {\"cell\": \"86 (8.1)\", \"bbox\": [79, 259, 102, 268]}, {\"cell\": \"4\", \"bbox\": [143, 259, 149, 268]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 259, 239, 268]}, {\"cell\": \"4\", \"bbox\": [316, 259, 322, 268]}, {\"cell\": \"1\", \"bbox\": [408, 259, 414, 268]}, {\"cell\": \"3 (3.5)\", \"bbox\": [486, 259, 506, 268]}, {\"cell\": \"1.1–9.8\", \"bbox\": [587, 259, 609, 268]}, {\"cell\": \"Residence county\", \"bbox\": [1, 273, 56, 282]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Garissa\", \"bbox\": [8, 286, 31, 295]}, {\"cell\": \"531 (49.7)\", \"bbox\": [79, 286, 110, 295]}, {\"cell\": \"86\", \"bbox\": [143, 286, 153, 295]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 286, 242, 295]}, {\"cell\": \"93\", \"bbox\": [316, 286, 325, 295]}, {\"cell\": \"6\", \"bbox\": [408, 286, 414, 295]}, {\"cell\": \"83 (15.6)\", \"bbox\": [486, 286, 513, 295]}, {\"cell\": \"12.7–19.1\", \"bbox\": [587, 286, 616, 295]}, {\"cell\": \"0.607\", \"bbox\": [622, 286, 639, 295]}, {\"cell\": \" Wajir\", \"bbox\": [8, 300, 25, 309]}, {\"cell\": \"536 (50.3)\", \"bbox\": [79, 300, 110, 309]}, {\"cell\": \"95\", \"bbox\": [143, 300, 153, 309]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 300, 242, 309]}, {\"cell\": \"101\", \"bbox\": [316, 300, 329, 309]}, {\"cell\": \"4\", \"bbox\": [408, 300, 414, 309]}, {\"cell\": \"90 (16.8)\", \"bbox\": [486, 300, 513, 309]}, {\"cell\": \"13.8–20.3\", \"bbox\": [587, 300, 616, 309]}, {\"cell\": \"Ethnic groups\", \"bbox\": [1, 313, 44, 322]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Somali\", \"bbox\": [8, 327, 30, 336]}, {\"cell\": \"963 (90.3)\", \"bbox\": [79, 327, 110, 336]}, {\"cell\": \"173\", \"bbox\": [143, 327, 156, 336]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 327, 246, 336]}, {\"cell\": \"188\", \"bbox\": [316, 327, 329, 336]}, {\"cell\": \"8\", \"bbox\": [408, 327, 414, 336]}, {\"cell\": \"165 (17.1)\", \"bbox\": [486, 327, 516, 336]}, {\"cell\": \"14.8–19.7\", \"bbox\": [587, 327, 616, 336]}, {\"cell\": \"0.004\", \"bbox\": [622, 327, 639, 336]}, {\"cell\": \" Others\", \"bbox\": [8, 340, 30, 349]}, {\"cell\": \"104 (9.7)\", \"bbox\": [79, 340, 106, 349]}, {\"cell\": \"8\", \"bbox\": [143, 340, 149, 349]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 340, 239, 349]}, {\"cell\": \"6\", \"bbox\": [316, 340, 322, 349]}, {\"cell\": \"2\", \"bbox\": [408, 340, 414, 349]}, {\"cell\": \"8 (7.7)\", \"bbox\": [486, 340, 506, 349]}, {\"cell\": \"3.6–15.4\", \"bbox\": [587, 340, 613, 349]}, {\"cell\": \"Zoonosis knowledge\", \"bbox\": [1, 354, 65, 363]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Yes\", \"bbox\": [8, 367, 20, 376]}, {\"cell\": \"448 (42.0)\", \"bbox\": [79, 367, 110, 376]}, {\"cell\": \"62\", \"bbox\": [143, 367, 153, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 367, 242, 376]}, {\"cell\": \"67\", \"bbox\": [316, 367, 325, 376]}, {\"cell\": \"2\", \"bbox\": [408, 367, 414, 376]}, {\"cell\": \"58 (12.9)\", \"bbox\": [486, 367, 513, 376]}, {\"cell\": \"10.0–16.5\", \"bbox\": [587, 367, 616, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" No\", \"bbox\": [8, 381, 19, 390]}, {\"cell\": \"619 (58.0)\", \"bbox\": [79, 381, 110, 390]}, {\"cell\": \"119\", \"bbox\": [143, 381, 156, 390]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 381, 246, 390]}, {\"cell\": \"127\", \"bbox\": [316, 381, 329, 390]}, {\"cell\": \"8\", \"bbox\": [408, 381, 414, 390]}, {\"cell\": \"115 (18.6)\", \"bbox\": [486, 381, 516, 390]}, {\"cell\": \"15.6–21.9\", \"bbox\": [587, 381, 616, 390]}, {\"cell\": \"0.012\", \"bbox\": [622, 381, 639, 390]}, {\"cell\": \"Q Fever knowledge\", \"bbox\": [1, 394, 62, 403]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Yes\", \"bbox\": [8, 408, 20, 417]}, {\"cell\": \"5 (0.5)\", \"bbox\": [79, 408, 99, 417]}, {\"cell\": \"0\", \"bbox\": [143, 408, 149, 417]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 408, 239, 417]}, {\"cell\": \"0\", \"bbox\": [316, 408, 322, 417]}, {\"cell\": \"0\", \"bbox\": [408, 408, 414, 417]}, {\"cell\": \"0\", \"bbox\": [486, 408, 491, 417]}, {\"cell\": \"-\", \"bbox\": [587, 408, 591, 417]}, {\"cell\": \"-\", \"bbox\": [622, 408, 626, 417]}, {\"cell\": \" No\", \"bbox\": [8, 421, 19, 430]}, {\"cell\": \"1062 (99.5)\", \"bbox\": [79, 421, 113, 430]}, {\"cell\": \"181\", \"bbox\": [143, 421, 156, 430]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 421, 246, 430]}, {\"cell\": \"194\", \"bbox\": [316, 421, 329, 430]}, {\"cell\": \"10\", \"bbox\": [408, 421, 418, 430]}, {\"cell\": \"173 (16.2)\", \"bbox\": [486, 421, 516, 430]}, {\"cell\": \"14.1–18.7\", \"bbox\": [587, 421, 616, 430]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4891891_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
dbSNP IDGenotypeControl n (%)APACG n (%)p ValueCPACG n (%)p Value
rs7591567CC5 (2.4%)3 (2.8%)0.779[EMPTY_CELL]0.368
[EMPTY_CELL]CT53 (25.9%)32 (29.4%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]TT147 (71.7%)74 (67.9)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
rs3771073CC4 (2%)2 (1.8%)0.343[EMPTY_CELL]0.509
[EMPTY_CELL]CG57 (27.8%)39 (35.8%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]GG144 (70.2%)68 (62.4%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
rs9288141AA128 (62.4%)68 (62.4%)0.816[EMPTY_CELL]0.951
[EMPTY_CELL]AG72 (35.1%)37 (33.9%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]GG5 (2.4%)4 (3.7%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
rs1157699CC138 (67.3%)57 (52.3%)0.028[EMPTY_CELL]0.415
[EMPTY_CELL]CT60 (29.3%)48 (44%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]TT7 (3.4%)4 (3.7%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
rs6759535CC95 (46.3%)56 (51.4%)0.469[EMPTY_CELL]0.742
[EMPTY_CELL]CT97 (47.3%)44 (40.4%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]TT13 (6.3%)9 (8.3%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
rs840617AA18 (8.8%)12 (11%)0.494[EMPTY_CELL]0.488
[EMPTY_CELL]AT79 (38.5%)35 (32.1%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]TT108 (52.7%)62 (56.9%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
\", \"cells\": [{\"cell\": \"dbSNP ID\", \"bbox\": [6, 8, 44, 17]}, {\"cell\": \"Genotype\", \"bbox\": [74, 8, 110, 17]}, {\"cell\": \"Control n (%)\", \"bbox\": [145, 8, 196, 17]}, {\"cell\": \"APACG n (%)\", \"bbox\": [237, 8, 290, 17]}, {\"cell\": \"p Value\", \"bbox\": [320, 8, 349, 17]}, {\"cell\": \"CPACG n (%)\", \"bbox\": [378, 8, 431, 17]}, {\"cell\": \"p Value\", \"bbox\": [463, 8, 492, 17]}, {\"cell\": \"rs7591567\", \"bbox\": [6, 18, 43, 27]}, {\"cell\": \"CC\", \"bbox\": [86, 18, 99, 27]}, {\"cell\": \"5 (2.4%)\", \"bbox\": [155, 18, 186, 27]}, {\"cell\": \"3 (2.8%)\", \"bbox\": [248, 18, 279, 27]}, {\"cell\": \"0.779\", \"bbox\": [324, 18, 344, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 18, 417, 27]}, {\"cell\": \"0.368\", \"bbox\": [468, 18, 488, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CT\", \"bbox\": [86, 28, 98, 37]}, {\"cell\": \"53 (25.9%)\", \"bbox\": [151, 28, 190, 37]}, {\"cell\": \"32 (29.4%)\", \"bbox\": [244, 28, 283, 37]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 28, 424, 37]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TT\", \"bbox\": [86, 38, 98, 47]}, {\"cell\": \"147 (71.7%)\", \"bbox\": [149, 38, 192, 47]}, {\"cell\": \"74 (67.9)\", \"bbox\": [248, 38, 280, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 38, 424, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"rs3771073\", \"bbox\": [6, 47, 43, 57]}, {\"cell\": \"CC\", \"bbox\": [86, 47, 99, 57]}, {\"cell\": \"4 (2%)\", \"bbox\": [158, 47, 183, 57]}, {\"cell\": \"2 (1.8%)\", \"bbox\": [248, 47, 279, 57]}, {\"cell\": \"0.343\", \"bbox\": [324, 47, 344, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 47, 417, 57]}, {\"cell\": \"0.509\", \"bbox\": [468, 47, 488, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CG\", \"bbox\": [86, 57, 99, 67]}, {\"cell\": \"57 (27.8%)\", \"bbox\": [151, 57, 190, 67]}, {\"cell\": \"39 (35.8%)\", \"bbox\": [244, 57, 283, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 57, 424, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"GG\", \"bbox\": [85, 67, 99, 76]}, {\"cell\": \"144 (70.2%)\", \"bbox\": [149, 67, 192, 76]}, {\"cell\": \"68 (62.4%)\", \"bbox\": [244, 67, 283, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 67, 424, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"rs9288141\", \"bbox\": [6, 77, 43, 86]}, {\"cell\": \"AA\", \"bbox\": [85, 77, 99, 86]}, {\"cell\": \"128 (62.4%)\", \"bbox\": [149, 77, 192, 86]}, {\"cell\": \"68 (62.4%)\", \"bbox\": [244, 77, 283, 86]}, {\"cell\": \"0.816\", \"bbox\": [324, 77, 344, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 77, 424, 86]}, {\"cell\": \"0.951\", \"bbox\": [468, 77, 488, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"AG\", \"bbox\": [85, 87, 99, 96]}, {\"cell\": \"72 (35.1%)\", \"bbox\": [151, 87, 190, 96]}, {\"cell\": \"37 (33.9%)\", \"bbox\": [244, 87, 283, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 87, 424, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"GG\", \"bbox\": [85, 97, 99, 106]}, {\"cell\": \"5 (2.4%)\", \"bbox\": [155, 97, 186, 106]}, {\"cell\": \"4 (3.7%)\", \"bbox\": [248, 97, 279, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [389, 97, 420, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"rs1157699\", \"bbox\": [6, 106, 43, 116]}, {\"cell\": \"CC\", \"bbox\": [86, 106, 99, 116]}, {\"cell\": \"138 (67.3%)\", \"bbox\": [149, 106, 192, 116]}, {\"cell\": \"57 (52.3%)\", \"bbox\": [244, 106, 283, 116]}, {\"cell\": \"0.028\", \"bbox\": [324, 106, 344, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 106, 424, 116]}, {\"cell\": \"0.415\", \"bbox\": [468, 106, 488, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CT\", \"bbox\": [86, 116, 98, 126]}, {\"cell\": \"60 (29.3%)\", \"bbox\": [151, 116, 190, 126]}, {\"cell\": \"48 (44%)\", \"bbox\": [247, 116, 280, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 116, 424, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TT\", \"bbox\": [86, 126, 98, 136]}, {\"cell\": \"7 (3.4%)\", \"bbox\": [155, 126, 186, 136]}, {\"cell\": \"4 (3.7%)\", \"bbox\": [248, 126, 279, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [389, 126, 420, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"rs6759535\", \"bbox\": [6, 136, 43, 145]}, {\"cell\": \"CC\", \"bbox\": [86, 136, 99, 145]}, {\"cell\": \"95 (46.3%)\", \"bbox\": [151, 136, 190, 145]}, {\"cell\": \"56 (51.4%)\", \"bbox\": [244, 136, 283, 145]}, {\"cell\": \"0.469\", \"bbox\": [324, 136, 344, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [388, 136, 421, 145]}, {\"cell\": \"0.742\", \"bbox\": [468, 136, 488, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CT\", \"bbox\": [86, 146, 98, 155]}, {\"cell\": \"97 (47.3%)\", \"bbox\": [151, 146, 190, 155]}, {\"cell\": \"44 (40.4%)\", \"bbox\": [244, 146, 283, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 146, 424, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TT\", \"bbox\": [86, 156, 98, 165]}, {\"cell\": \"13 (6.3%)\", \"bbox\": [153, 156, 188, 165]}, {\"cell\": \"9 (8.3%)\", \"bbox\": [248, 156, 279, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [389, 156, 420, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"rs840617\", \"bbox\": [6, 165, 39, 175]}, {\"cell\": \"AA\", \"bbox\": [85, 165, 99, 175]}, {\"cell\": \"18 (8.8%)\", \"bbox\": [153, 165, 188, 175]}, {\"cell\": \"12 (11%)\", \"bbox\": [247, 165, 280, 175]}, {\"cell\": \"0.494\", \"bbox\": [324, 165, 344, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [389, 165, 420, 175]}, {\"cell\": \"0.488\", \"bbox\": [468, 165, 488, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"AT\", \"bbox\": [86, 175, 99, 185]}, {\"cell\": \"79 (38.5%)\", \"bbox\": [151, 175, 190, 185]}, {\"cell\": \"35 (32.1%)\", \"bbox\": [244, 175, 283, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 175, 424, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TT\", \"bbox\": [86, 185, 98, 195]}, {\"cell\": \"108 (52.7%)\", \"bbox\": [149, 185, 192, 195]}, {\"cell\": \"62 (56.9%)\", \"bbox\": [244, 185, 283, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 185, 424, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2773738_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
GroupDose (mg/kg)Con A (5 μg/mL)LPS (10 μg/mL)
[EMPTY_CELL][EMPTY_CELL]IL-2 (pg/mL)
[EMPTY_CELL]–221.44 ± 56.4753.37 ± 9.86
[EMPTY_CELL]198293.43 ± 67.66*86.92 ± 17.35*
[EMPTY_CELL]593291.99 ± 61.01*85.73 ± 15.81*
[EMPTY_CELL]988307.87 ± 45.74*86.35 ± 23.85*
[EMPTY_CELL]260262.87 ± 51.4869.70 ± 21.97
[EMPTY_CELL][EMPTY_CELL]IL-4 (pg/mL)
[EMPTY_CELL]–21.25 ± 9.804.92 ± 1.34
[EMPTY_CELL]19821.28 ± 7.197.28 ± 3.36
[EMPTY_CELL]59319.10 ± 5.907.25 ± 3.70
[EMPTY_CELL]98817.72 ± 4.307.53 ± 2.89
[EMPTY_CELL]26014.86 ± 7.505.09 ± 1.80
[EMPTY_CELL][EMPTY_CELL]TNF-α (pg/mL)
[EMPTY_CELL]–313.93 ± 107.64221.79 ± 90.35
[EMPTY_CELL]198410.36 ± 82.17*331.79 ± 125.30
[EMPTY_CELL]593410.24 ± 106.57*433.81 ± 176.07*
[EMPTY_CELL]988417.19 ± 77.95*410.00 ± 138.37*
[EMPTY_CELL]260442.19 ± 90.03*293.08 ± 77.07
[EMPTY_CELL][EMPTY_CELL]IFN-γ (pg/mL)
[EMPTY_CELL]–1329.82 ± 345.51186.23 ± 58.04
[EMPTY_CELL]1981698.73 ± 323.08*204.77 ± 67.81
[EMPTY_CELL]5931690.90 ± 360.44*276.86 ± 97.37*
[EMPTY_CELL]9881765.42 ± 207.41*270.92 ± 109.60*
[EMPTY_CELL]2601737.08 ± 210.89*199.36 ± 76.81
[EMPTY_CELL][EMPTY_CELL]GM-CSF (pg/mL)
[EMPTY_CELL]–226.52 ± 62.1921.04 ± 4.13
[EMPTY_CELL]198290.70 ± 42.21*25.33 ± 6.32
[EMPTY_CELL]593317.65 ± 95.27*31.47 ± 7.95*
[EMPTY_CELL]988316.36 ± 68.19*29.57 ± 9.55*
[EMPTY_CELL]260214.17 ± 70.3821.96 ± 7.85
\", \"cells\": [{\"cell\": \"Group\", \"bbox\": [5, 4, 26, 14]}, {\"cell\": \"Dose (mg/kg)\", \"bbox\": [41, 4, 86, 14]}, {\"cell\": \"Con A (5 μg/mL)\", \"bbox\": [104, 4, 160, 14]}, {\"cell\": \"LPS (10 μg/mL)\", \"bbox\": [181, 4, 231, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"IL-2 (pg/mL)\", \"bbox\": [148, 16, 189, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 26, 15, 35]}, {\"cell\": \"–\", \"bbox\": [61, 29, 67, 34]}, {\"cell\": \"221.44 ± 56.47\", \"bbox\": [106, 26, 155, 35]}, {\"cell\": \"53.37 ± 9.86\", \"bbox\": [181, 26, 223, 35]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 36, 19, 45]}, {\"cell\": \"198\", \"bbox\": [57, 36, 70, 45]}, {\"cell\": \"293.43 ± 67.66*\", \"bbox\": [106, 36, 158, 45]}, {\"cell\": \"86.92 ± 17.35*\", \"bbox\": [181, 36, 230, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 46, 19, 55]}, {\"cell\": \"593\", \"bbox\": [57, 46, 70, 55]}, {\"cell\": \"291.99 ± 61.01*\", \"bbox\": [106, 46, 158, 55]}, {\"cell\": \"85.73 ± 15.81*\", \"bbox\": [181, 46, 230, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 55, 19, 65]}, {\"cell\": \"988\", \"bbox\": [57, 55, 70, 65]}, {\"cell\": \"307.87 ± 45.74*\", \"bbox\": [106, 55, 158, 65]}, {\"cell\": \"86.35 ± 23.85*\", \"bbox\": [181, 55, 230, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 65, 15, 74]}, {\"cell\": \"260\", \"bbox\": [57, 65, 70, 74]}, {\"cell\": \"262.87 ± 51.48\", \"bbox\": [106, 65, 155, 74]}, {\"cell\": \"69.70 ± 21.97\", \"bbox\": [181, 65, 227, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"IL-4 (pg/mL)\", \"bbox\": [148, 75, 189, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 85, 15, 94]}, {\"cell\": \"–\", \"bbox\": [61, 88, 67, 92]}, {\"cell\": \"21.25 ± 9.80\", \"bbox\": [109, 85, 151, 94]}, {\"cell\": \"4.92 ± 1.34\", \"bbox\": [185, 85, 223, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 94, 19, 104]}, {\"cell\": \"198\", \"bbox\": [57, 94, 70, 104]}, {\"cell\": \"21.28 ± 7.19\", \"bbox\": [109, 94, 151, 104]}, {\"cell\": \"7.28 ± 3.36\", \"bbox\": [185, 94, 223, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 104, 19, 113]}, {\"cell\": \"593\", \"bbox\": [57, 104, 70, 113]}, {\"cell\": \"19.10 ± 5.90\", \"bbox\": [109, 104, 151, 113]}, {\"cell\": \"7.25 ± 3.70\", \"bbox\": [185, 104, 223, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 114, 19, 123]}, {\"cell\": \"988\", \"bbox\": [57, 114, 70, 123]}, {\"cell\": \"17.72 ± 4.30\", \"bbox\": [109, 114, 151, 123]}, {\"cell\": \"7.53 ± 2.89\", \"bbox\": [185, 114, 223, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 124, 15, 133]}, {\"cell\": \"260\", \"bbox\": [57, 124, 70, 133]}, {\"cell\": \"14.86 ± 7.50\", \"bbox\": [109, 124, 151, 133]}, {\"cell\": \"5.09 ± 1.80\", \"bbox\": [185, 124, 223, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TNF-α (pg/mL)\", \"bbox\": [144, 133, 192, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 143, 15, 152]}, {\"cell\": \"–\", \"bbox\": [61, 146, 67, 151]}, {\"cell\": \"313.93 ± 107.64\", \"bbox\": [106, 143, 159, 152]}, {\"cell\": \"221.79 ± 90.35\", \"bbox\": [178, 143, 227, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 153, 19, 162]}, {\"cell\": \"198\", \"bbox\": [57, 153, 70, 162]}, {\"cell\": \"410.36 ± 82.17*\", \"bbox\": [106, 153, 158, 162]}, {\"cell\": \"331.79 ± 125.30\", \"bbox\": [178, 153, 231, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 163, 19, 172]}, {\"cell\": \"593\", \"bbox\": [57, 163, 70, 172]}, {\"cell\": \"410.24 ± 106.57*\", \"bbox\": [106, 163, 162, 172]}, {\"cell\": \"433.81 ± 176.07*\", \"bbox\": [178, 163, 234, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 172, 19, 182]}, {\"cell\": \"988\", \"bbox\": [57, 172, 70, 182]}, {\"cell\": \"417.19 ± 77.95*\", \"bbox\": [106, 172, 158, 182]}, {\"cell\": \"410.00 ± 138.37*\", \"bbox\": [178, 172, 234, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 182, 15, 191]}, {\"cell\": \"260\", \"bbox\": [57, 182, 70, 191]}, {\"cell\": \"442.19 ± 90.03*\", \"bbox\": [106, 182, 158, 191]}, {\"cell\": \"293.08 ± 77.07\", \"bbox\": [178, 182, 227, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"IFN-γ (pg/mL)\", \"bbox\": [145, 192, 191, 201]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 202, 15, 211]}, {\"cell\": \"–\", \"bbox\": [61, 205, 67, 209]}, {\"cell\": \"1329.82 ± 345.51\", \"bbox\": [102, 202, 159, 211]}, {\"cell\": \"186.23 ± 58.04\", \"bbox\": [178, 202, 227, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 211, 19, 221]}, {\"cell\": \"198\", \"bbox\": [57, 211, 70, 221]}, {\"cell\": \"1698.73 ± 323.08*\", \"bbox\": [102, 211, 162, 221]}, {\"cell\": \"204.77 ± 67.81\", \"bbox\": [178, 211, 227, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 221, 19, 230]}, {\"cell\": \"593\", \"bbox\": [57, 221, 70, 230]}, {\"cell\": \"1690.90 ± 360.44*\", \"bbox\": [102, 221, 162, 230]}, {\"cell\": \"276.86 ± 97.37*\", \"bbox\": [178, 221, 230, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 231, 19, 240]}, {\"cell\": \"988\", \"bbox\": [57, 231, 70, 240]}, {\"cell\": \"1765.42 ± 207.41*\", \"bbox\": [102, 231, 162, 240]}, {\"cell\": \"270.92 ± 109.60*\", \"bbox\": [178, 231, 234, 240]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 241, 15, 250]}, {\"cell\": \"260\", \"bbox\": [57, 241, 70, 250]}, {\"cell\": \"1737.08 ± 210.89*\", \"bbox\": [102, 241, 162, 250]}, {\"cell\": \"199.36 ± 76.81\", \"bbox\": [178, 241, 227, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"GM-CSF (pg/mL)\", \"bbox\": [141, 250, 195, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 260, 15, 269]}, {\"cell\": \"–\", \"bbox\": [61, 263, 67, 268]}, {\"cell\": \"226.52 ± 62.19\", \"bbox\": [106, 260, 155, 269]}, {\"cell\": \"21.04 ± 4.13\", \"bbox\": [181, 260, 223, 269]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 270, 19, 279]}, {\"cell\": \"198\", \"bbox\": [57, 270, 70, 279]}, {\"cell\": \"290.70 ± 42.21*\", \"bbox\": [106, 270, 158, 279]}, {\"cell\": \"25.33 ± 6.32\", \"bbox\": [181, 270, 223, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 280, 19, 289]}, {\"cell\": \"593\", \"bbox\": [57, 280, 70, 289]}, {\"cell\": \"317.65 ± 95.27*\", \"bbox\": [106, 280, 158, 289]}, {\"cell\": \"31.47 ± 7.95*\", \"bbox\": [181, 280, 227, 289]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 289, 19, 299]}, {\"cell\": \"988\", \"bbox\": [57, 289, 70, 299]}, {\"cell\": \"316.36 ± 68.19*\", \"bbox\": [106, 289, 158, 299]}, {\"cell\": \"29.57 ± 9.55*\", \"bbox\": [181, 289, 227, 299]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 299, 15, 308]}, {\"cell\": \"260\", \"bbox\": [57, 299, 70, 308]}, {\"cell\": \"214.17 ± 70.38\", \"bbox\": [106, 299, 155, 308]}, {\"cell\": \"21.96 ± 7.85\", \"bbox\": [181, 299, 223, 308]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC6059145_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Women with first primary age <50Women with first primary age ≥50
OSIR95%CIOSIR95%CI
Any first primary[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]40,120[EMPTY_CELL][EMPTY_CELL]
Any second primary[EMPTY_CELL]4.03.4-4.74501.00.9-1.1
First primary HR-positive[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]25,735[EMPTY_CELL][EMPTY_CELL]
Any second primary[EMPTY_CELL]2.21.7-2.92480.80.7-0.9
Second primary HR-positive[EMPTY_CELL]1.71.2-2.51390.60.5-0.7
Second primary HR-negative[EMPTY_CELL]1.80.8-3.5431.00.8-1.4
Second primary HR-mixed[EMPTY_CELL]4.82.5-8.4381.00.7-1.4
First primary HR-negative[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]4,758[EMPTY_CELL][EMPTY_CELL]
Any second primary[EMPTY_CELL]9.27.1-11.91042.01.7-2.5
Second primary HR-positive[EMPTY_CELL]2.61.4-4.5310.90.7-1.3
Second primary HR-negative[EMPTY_CELL]25.417.6-35.4466.14.5-8.1
Second primary HR-mixed[EMPTY_CELL]18.19.6-31.1122.31.3-3.7
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Women with first primary age <50\", \"bbox\": [134, 4, 256, 13]}, {\"cell\": \"Women with first primary age ≥50\", \"bbox\": [322, 4, 443, 13]}, {\"cell\": \"O\", \"bbox\": [134, 17, 142, 27]}, {\"cell\": \"SIR\", \"bbox\": [194, 17, 207, 27]}, {\"cell\": \"95%CI\", \"bbox\": [251, 17, 274, 27]}, {\"cell\": \"O\", \"bbox\": [322, 17, 329, 27]}, {\"cell\": \"SIR\", \"bbox\": [387, 17, 400, 27]}, {\"cell\": \"95%CI\", \"bbox\": [442, 17, 466, 27]}, {\"cell\": \"Any first primary\", \"bbox\": [1, 30, 61, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [134, 30, 153, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"40,120\", \"bbox\": [322, 30, 344, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Any second primary\", \"bbox\": [16, 44, 83, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [134, 44, 148, 54]}, {\"cell\": \"4.0\", \"bbox\": [194, 44, 205, 54]}, {\"cell\": \"3.4-4.7\", \"bbox\": [251, 44, 273, 54]}, {\"cell\": \"450\", \"bbox\": [322, 44, 335, 54]}, {\"cell\": \"1.0\", \"bbox\": [387, 44, 398, 54]}, {\"cell\": \"0.9-1.1\", \"bbox\": [442, 44, 465, 54]}, {\"cell\": \"First primary HR-positive\", \"bbox\": [0, 58, 89, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [134, 58, 153, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"25,735\", \"bbox\": [322, 58, 344, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Any second primary\", \"bbox\": [16, 72, 83, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [134, 72, 144, 82]}, {\"cell\": \"2.2\", \"bbox\": [194, 72, 205, 82]}, {\"cell\": \"1.7-2.9\", \"bbox\": [251, 72, 273, 82]}, {\"cell\": \"248\", \"bbox\": [322, 72, 335, 82]}, {\"cell\": \"0.8\", \"bbox\": [387, 72, 398, 82]}, {\"cell\": \"0.7-0.9\", \"bbox\": [442, 72, 465, 82]}, {\"cell\": \"Second primary HR-positive\", \"bbox\": [16, 86, 107, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [134, 86, 144, 96]}, {\"cell\": \"1.7\", \"bbox\": [194, 86, 205, 96]}, {\"cell\": \"1.2-2.5\", \"bbox\": [251, 86, 273, 96]}, {\"cell\": \"139\", \"bbox\": [322, 86, 335, 96]}, {\"cell\": \"0.6\", \"bbox\": [387, 86, 398, 96]}, {\"cell\": \"0.5-0.7\", \"bbox\": [442, 86, 465, 96]}, {\"cell\": \"Second primary HR-negative\", \"bbox\": [16, 100, 110, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [134, 100, 140, 110]}, {\"cell\": \"1.8\", \"bbox\": [194, 100, 205, 110]}, {\"cell\": \"0.8-3.5\", \"bbox\": [251, 100, 273, 110]}, {\"cell\": \"43\", \"bbox\": [322, 100, 331, 110]}, {\"cell\": \"1.0\", \"bbox\": [387, 100, 398, 110]}, {\"cell\": \"0.8-1.4\", \"bbox\": [442, 100, 465, 110]}, {\"cell\": \"Second primary HR-mixed\", \"bbox\": [16, 114, 102, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [134, 114, 144, 124]}, {\"cell\": \"4.8\", \"bbox\": [194, 114, 205, 124]}, {\"cell\": \"2.5-8.4\", \"bbox\": [251, 114, 273, 124]}, {\"cell\": \"38\", \"bbox\": [322, 114, 331, 124]}, {\"cell\": \"1.0\", \"bbox\": [387, 114, 398, 124]}, {\"cell\": \"0.7-1.4\", \"bbox\": [442, 114, 465, 124]}, {\"cell\": \"First primary HR-negative\", \"bbox\": [0, 128, 91, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [134, 128, 153, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"4,758\", \"bbox\": [322, 128, 340, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Any second primary\", \"bbox\": [16, 142, 83, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [134, 142, 144, 152]}, {\"cell\": \"9.2\", \"bbox\": [194, 142, 205, 152]}, {\"cell\": \"7.1-11.9\", \"bbox\": [251, 142, 277, 152]}, {\"cell\": \"104\", \"bbox\": [322, 142, 335, 152]}, {\"cell\": \"2.0\", \"bbox\": [387, 142, 398, 152]}, {\"cell\": \"1.7-2.5\", \"bbox\": [442, 142, 465, 152]}, {\"cell\": \"Second primary HR-positive\", \"bbox\": [16, 156, 107, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [134, 156, 140, 166]}, {\"cell\": \"2.6\", \"bbox\": [194, 156, 205, 166]}, {\"cell\": \"1.4-4.5\", \"bbox\": [251, 156, 273, 166]}, {\"cell\": \"31\", \"bbox\": [322, 156, 331, 166]}, {\"cell\": \"0.9\", \"bbox\": [387, 156, 398, 166]}, {\"cell\": \"0.7-1.3\", \"bbox\": [442, 156, 465, 166]}, {\"cell\": \"Second primary HR-negative\", \"bbox\": [16, 170, 110, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [134, 170, 144, 180]}, {\"cell\": \"25.4\", \"bbox\": [194, 170, 209, 180]}, {\"cell\": \"17.6-35.4\", \"bbox\": [251, 170, 280, 180]}, {\"cell\": \"46\", \"bbox\": [322, 170, 331, 180]}, {\"cell\": \"6.1\", \"bbox\": [387, 170, 398, 180]}, {\"cell\": \"4.5-8.1\", \"bbox\": [442, 170, 465, 180]}, {\"cell\": \"Second primary HR-mixed\", \"bbox\": [16, 184, 102, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [134, 184, 144, 194]}, {\"cell\": \"18.1\", \"bbox\": [194, 184, 209, 194]}, {\"cell\": \"9.6-31.1\", \"bbox\": [251, 184, 277, 194]}, {\"cell\": \"12\", \"bbox\": [322, 184, 331, 194]}, {\"cell\": \"2.3\", \"bbox\": [387, 184, 398, 194]}, {\"cell\": \"1.3-3.7\", \"bbox\": [442, 184, 465, 194]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4303131_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Reduced subsetAccessions used (No.)CollectionAccessions in constitutedReferences
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]collection (No.)[EMPTY_CELL]
Chickpea16,991Core[EMPTY_CELL]Upadhyaya et al., 2001a
[EMPTY_CELL]3350Core[EMPTY_CELL]Hannan et al., 1994
[EMPTY_CELL]1002Core[EMPTY_CELL]Kibret, 2012
[EMPTY_CELL]–Kabuli core[EMPTY_CELL]Pouresmael et al., 2009
[EMPTY_CELL]1956Mini core[EMPTY_CELL]Upadhyaya and Ortiz, 2001
[EMPTY_CELL]482Mini core[EMPTY_CELL]Biabani et al., 2011
Pigeonpea12,153Core[EMPTY_CELL]Reddy et al., 2005
[EMPTY_CELL]1290Mini core[EMPTY_CELL]Upadhyaya et al., 2006a
Groundnut630Valencia core[EMPTY_CELL]Dwivedi et al., 2008b
[EMPTY_CELL]7432Core[EMPTY_CELL]Holbrook et al., 1993
[EMPTY_CELL]6390Core[EMPTY_CELL]Jiang et al., 2008
[EMPTY_CELL]4738Asian core[EMPTY_CELL]Upadhyaya et al., 2001b
[EMPTY_CELL]14,310Core[EMPTY_CELL]Upadhyaya et al., 2003
[EMPTY_CELL]831Mini core[EMPTY_CELL]Holbrook and Dong, 2005
[EMPTY_CELL]1704Mini core[EMPTY_CELL]Upadhyaya et al., 2002
\", \"cells\": [{\"cell\": \"Reduced subset\", \"bbox\": [1, 6, 59, 14]}, {\"cell\": \"Accessions used (No.)\", \"bbox\": [94, 6, 174, 14]}, {\"cell\": \"Collection\", \"bbox\": [209, 6, 246, 14]}, {\"cell\": \"Accessions in constituted\", \"bbox\": [289, 6, 382, 14]}, {\"cell\": \"References\", \"bbox\": [417, 6, 457, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"collection (No.)\", \"bbox\": [289, 17, 345, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Chickpea\", \"bbox\": [1, 37, 33, 46]}, {\"cell\": \"16,991\", \"bbox\": [94, 37, 119, 46]}, {\"cell\": \"Core\", \"bbox\": [208, 37, 226, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 37, 307, 46]}, {\"cell\": \"Upadhyaya et al., 2001a\", \"bbox\": [416, 37, 497, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3350\", \"bbox\": [94, 48, 113, 57]}, {\"cell\": \"Core\", \"bbox\": [208, 48, 226, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 48, 303, 57]}, {\"cell\": \"Hannan et al., 1994\", \"bbox\": [416, 48, 483, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1002\", \"bbox\": [94, 60, 112, 69]}, {\"cell\": \"Core\", \"bbox\": [208, 60, 226, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 60, 303, 69]}, {\"cell\": \"Kibret, 2012\", \"bbox\": [416, 60, 458, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"–\", \"bbox\": [94, 71, 100, 80]}, {\"cell\": \"Kabuli core\", \"bbox\": [208, 71, 248, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 71, 303, 80]}, {\"cell\": \"Pouresmael et al., 2009\", \"bbox\": [416, 71, 497, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1956\", \"bbox\": [94, 83, 112, 92]}, {\"cell\": \"Mini core\", \"bbox\": [208, 83, 242, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 83, 303, 92]}, {\"cell\": \"Upadhyaya and Ortiz, 2001\", \"bbox\": [416, 83, 507, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"482\", \"bbox\": [94, 94, 108, 103]}, {\"cell\": \"Mini core\", \"bbox\": [208, 94, 242, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 94, 299, 103]}, {\"cell\": \"Biabani et al., 2011\", \"bbox\": [416, 94, 480, 103]}, {\"cell\": \"Pigeonpea\", \"bbox\": [1, 114, 37, 123]}, {\"cell\": \"12,153\", \"bbox\": [94, 114, 118, 123]}, {\"cell\": \"Core\", \"bbox\": [208, 114, 226, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 114, 307, 123]}, {\"cell\": \"Reddy et al., 2005\", \"bbox\": [416, 114, 479, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1290\", \"bbox\": [94, 125, 112, 134]}, {\"cell\": \"Mini core\", \"bbox\": [208, 125, 242, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 125, 303, 134]}, {\"cell\": \"Upadhyaya et al., 2006a\", \"bbox\": [416, 125, 498, 134]}, {\"cell\": \"Groundnut\", \"bbox\": [1, 144, 38, 153]}, {\"cell\": \"630\", \"bbox\": [94, 144, 108, 153]}, {\"cell\": \"Valencia core\", \"bbox\": [208, 144, 254, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 144, 299, 153]}, {\"cell\": \"Dwivedi et al., 2008b\", \"bbox\": [416, 144, 489, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"7432\", \"bbox\": [94, 156, 112, 165]}, {\"cell\": \"Core\", \"bbox\": [208, 156, 226, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 156, 304, 165]}, {\"cell\": \"Holbrook et al., 1993\", \"bbox\": [416, 156, 487, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"6390\", \"bbox\": [94, 167, 113, 176]}, {\"cell\": \"Core\", \"bbox\": [208, 167, 226, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 167, 303, 176]}, {\"cell\": \"Jiang et al., 2008\", \"bbox\": [416, 167, 475, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"4738\", \"bbox\": [94, 179, 113, 188]}, {\"cell\": \"Asian core\", \"bbox\": [208, 179, 245, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 179, 303, 188]}, {\"cell\": \"Upadhyaya et al., 2001b\", \"bbox\": [416, 179, 497, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"14,310\", \"bbox\": [94, 190, 118, 199]}, {\"cell\": \"Core\", \"bbox\": [208, 190, 226, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 190, 307, 199]}, {\"cell\": \"Upadhyaya et al., 2003\", \"bbox\": [416, 190, 494, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"831\", \"bbox\": [94, 202, 108, 211]}, {\"cell\": \"Mini core\", \"bbox\": [208, 202, 242, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 202, 302, 211]}, {\"cell\": \"Holbrook and Dong, 2005\", \"bbox\": [416, 202, 504, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1704\", \"bbox\": [94, 213, 112, 222]}, {\"cell\": \"Mini core\", \"bbox\": [208, 213, 242, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 213, 303, 222]}, {\"cell\": \"Upadhyaya et al., 2002\", \"bbox\": [416, 213, 494, 222]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3747629_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
NumberQuestionWalgreens/Costco
[EMPTY_CELL]question on vaccination in past 4 weeksWalgreens; Costco
[EMPTY_CELL]question on blood transfusion in past yearWalgreens; Costco
[EMPTY_CELL]question whether allergic to vaccineWalgreens; Costco
[EMPTY_CELL]question on asthma or wheezing historyWalgreens; Costco
[EMPTY_CELL]question on leukemiaWalgreens; Costco
[EMPTY_CELL]question whether allergic to medicationWalgreens; Costco
[EMPTY_CELL]seizure disorder questionWalgreens; Costco
[EMPTY_CELL]question on cancerWalgreens; Costco
[EMPTY_CELL]question whether allergic to eggWalgreens; Costco
[EMPTY_CELL]X-ray treatment questionWalgreens; Costco
[EMPTY_CELL]question whether allergic to latexWalgreens; Costco
[EMPTY_CELL]question on woman pregnancyWalgreens; Costco
[EMPTY_CELL]question whether currently sickCostco
[EMPTY_CELL]question on long-term heart diseaseCostco
[EMPTY_CELL]cortisone treatment questionCostco
[EMPTY_CELL]immunocompromisation questionCostco
[EMPTY_CELL]question whether allergic to foodCostco
[EMPTY_CELL]question on reaction after immunizationCostco
[EMPTY_CELL]question on whether fainted or felt dizzy after immunizationWalgreens
[EMPTY_CELL]question on TB skin test in past 4 weeksWalgreens
[EMPTY_CELL]question whether currently sick with a moderate to high fever, vomiting/diarrheaWalgreens
[EMPTY_CELL]question on serious nasal conditionWalgreens
[EMPTY_CELL]question on high-dose steroid therapy for longer than 2 weeksWalgreens
[EMPTY_CELL]question on thymus diseaseWalgreens
[EMPTY_CELL]question on current aspirin therapyWalgreens
[EMPTY_CELL]question on current antibiotics usageWalgreens
[EMPTY_CELL]question on history of thrombocytopenia or thrombocytopenic purpuraWalgreens
[EMPTY_CELL]question on CSF leakWalgreens
[EMPTY_CELL]question on aspleniaWalgreens
[EMPTY_CELL]question on azathioprine or 6-mercaptopurine usageWalgreens
[EMPTY_CELL]question on cochlear implantWalgreens
[EMPTY_CELL]question on high-dose methotrexate usageWalgreens
[EMPTY_CELL]question on home infusionWalgreens
[EMPTY_CELL]question on weekly injectionWalgreens
[EMPTY_CELL]question on weekly injection of adalmumabWalgreens
[EMPTY_CELL]question on weekly injection of etanerceptWalgreens
[EMPTY_CELL]question on weekly injection of infliximabWalgreens
[EMPTY_CELL]question whether recieving aspirin-containing therapyWalgreens
[EMPTY_CELL]question on current anti-malarial medicationWalgreens
\", \"cells\": [{\"cell\": \"Number\", \"bbox\": [1, 4, 29, 13]}, {\"cell\": \"Question\", \"bbox\": [94, 4, 125, 13]}, {\"cell\": \"Walgreens/Costco\", \"bbox\": [424, 4, 483, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 6, 27]}, {\"cell\": \"question on vaccination in past 4 weeks\", \"bbox\": [94, 17, 226, 27]}, {\"cell\": \"Walgreens; Costco\", \"bbox\": [424, 17, 484, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 31, 6, 41]}, {\"cell\": \"question on blood transfusion in past year\", \"bbox\": [94, 31, 233, 41]}, {\"cell\": \"Walgreens; Costco\", \"bbox\": [424, 31, 484, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 45, 6, 55]}, {\"cell\": \"question whether allergic to vaccine\", \"bbox\": [94, 45, 213, 55]}, {\"cell\": \"Walgreens; Costco\", \"bbox\": [424, 45, 484, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 59, 6, 69]}, {\"cell\": \"question on asthma or wheezing history\", \"bbox\": [94, 59, 227, 69]}, {\"cell\": \"Walgreens; Costco\", \"bbox\": [424, 59, 484, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 73, 6, 83]}, {\"cell\": \"question on leukemia\", \"bbox\": [94, 73, 166, 83]}, {\"cell\": \"Walgreens; Costco\", \"bbox\": [424, 73, 484, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 87, 6, 97]}, {\"cell\": \"question whether allergic to medication\", \"bbox\": [94, 87, 225, 97]}, {\"cell\": \"Walgreens; Costco\", \"bbox\": [424, 87, 484, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 101, 6, 111]}, {\"cell\": \"seizure disorder question\", \"bbox\": [94, 101, 177, 111]}, {\"cell\": \"Walgreens; Costco\", \"bbox\": [424, 101, 484, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 115, 6, 125]}, {\"cell\": \"question on cancer\", \"bbox\": [94, 115, 159, 125]}, {\"cell\": \"Walgreens; Costco\", \"bbox\": [424, 115, 484, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 129, 6, 139]}, {\"cell\": \"question whether allergic to egg\", \"bbox\": [94, 129, 202, 139]}, {\"cell\": \"Walgreens; Costco\", \"bbox\": [424, 129, 484, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 143, 10, 153]}, {\"cell\": \"X-ray treatment question\", \"bbox\": [94, 143, 177, 153]}, {\"cell\": \"Walgreens; Costco\", \"bbox\": [424, 143, 484, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 157, 10, 167]}, {\"cell\": \"question whether allergic to latex\", \"bbox\": [94, 157, 204, 167]}, {\"cell\": \"Walgreens; Costco\", \"bbox\": [424, 157, 484, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 171, 10, 181]}, {\"cell\": \"question on woman pregnancy\", \"bbox\": [94, 171, 198, 181]}, {\"cell\": \"Walgreens; Costco\", \"bbox\": [424, 171, 484, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 185, 10, 195]}, {\"cell\": \"question whether currently sick\", \"bbox\": [94, 185, 197, 195]}, {\"cell\": \"Costco\", \"bbox\": [424, 185, 448, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 199, 10, 209]}, {\"cell\": \"question on long-term heart disease\", \"bbox\": [94, 199, 214, 209]}, {\"cell\": \"Costco\", \"bbox\": [424, 199, 448, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 213, 10, 223]}, {\"cell\": \"cortisone treatment question\", \"bbox\": [94, 213, 190, 223]}, {\"cell\": \"Costco\", \"bbox\": [424, 213, 448, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 227, 10, 237]}, {\"cell\": \"immunocompromisation question\", \"bbox\": [94, 227, 206, 237]}, {\"cell\": \"Costco\", \"bbox\": [424, 227, 448, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 241, 10, 251]}, {\"cell\": \"question whether allergic to food\", \"bbox\": [94, 241, 204, 251]}, {\"cell\": \"Costco\", \"bbox\": [424, 241, 448, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 255, 10, 265]}, {\"cell\": \"question on reaction after immunization\", \"bbox\": [94, 255, 226, 265]}, {\"cell\": \"Costco\", \"bbox\": [424, 255, 448, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 269, 10, 279]}, {\"cell\": \"question on whether fainted or felt dizzy after immunization\", \"bbox\": [94, 269, 291, 279]}, {\"cell\": \"Walgreens\", \"bbox\": [424, 269, 459, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 283, 10, 293]}, {\"cell\": \"question on TB skin test in past 4 weeks\", \"bbox\": [94, 283, 226, 293]}, {\"cell\": \"Walgreens\", \"bbox\": [424, 283, 459, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 297, 10, 307]}, {\"cell\": \"question whether currently sick with a moderate to high fever, vomiting/diarrhea\", \"bbox\": [94, 297, 358, 307]}, {\"cell\": \"Walgreens\", \"bbox\": [424, 297, 459, 307]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 311, 10, 321]}, {\"cell\": \"question on serious nasal condition\", \"bbox\": [94, 311, 211, 321]}, {\"cell\": \"Walgreens\", \"bbox\": [424, 311, 459, 321]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 325, 10, 335]}, {\"cell\": \"question on high-dose steroid therapy for longer than 2 weeks\", \"bbox\": [94, 325, 299, 335]}, {\"cell\": \"Walgreens\", \"bbox\": [424, 325, 459, 335]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 339, 10, 349]}, {\"cell\": \"question on thymus disease\", \"bbox\": [94, 339, 187, 349]}, {\"cell\": \"Walgreens\", \"bbox\": [424, 339, 459, 349]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 353, 10, 363]}, {\"cell\": \"question on current aspirin therapy\", \"bbox\": [94, 353, 210, 363]}, {\"cell\": \"Walgreens\", \"bbox\": [424, 353, 459, 363]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 367, 10, 377]}, {\"cell\": \"question on current antibiotics usage\", \"bbox\": [94, 367, 216, 377]}, {\"cell\": \"Walgreens\", \"bbox\": [424, 367, 459, 377]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 381, 10, 391]}, {\"cell\": \"question on history of thrombocytopenia or thrombocytopenic purpura\", \"bbox\": [94, 381, 328, 391]}, {\"cell\": \"Walgreens\", \"bbox\": [424, 381, 459, 391]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 395, 10, 405]}, {\"cell\": \"question on CSF leak\", \"bbox\": [94, 395, 164, 405]}, {\"cell\": \"Walgreens\", \"bbox\": [424, 395, 459, 405]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 409, 10, 419]}, {\"cell\": \"question on asplenia\", \"bbox\": [94, 409, 163, 419]}, {\"cell\": \"Walgreens\", \"bbox\": [424, 409, 459, 419]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 423, 10, 433]}, {\"cell\": \"question on azathioprine or 6-mercaptopurine usage\", \"bbox\": [94, 423, 267, 433]}, {\"cell\": \"Walgreens\", \"bbox\": [424, 423, 459, 433]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 437, 10, 447]}, {\"cell\": \"question on cochlear implant\", \"bbox\": [94, 437, 191, 447]}, {\"cell\": \"Walgreens\", \"bbox\": [424, 437, 459, 447]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 451, 10, 461]}, {\"cell\": \"question on high-dose methotrexate usage\", \"bbox\": [94, 451, 236, 461]}, {\"cell\": \"Walgreens\", \"bbox\": [424, 451, 459, 461]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 465, 10, 475]}, {\"cell\": \"question on home infusion\", \"bbox\": [94, 465, 184, 475]}, {\"cell\": \"Walgreens\", \"bbox\": [424, 465, 459, 475]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 479, 10, 489]}, {\"cell\": \"question on weekly injection\", \"bbox\": [94, 479, 189, 489]}, {\"cell\": \"Walgreens\", \"bbox\": [424, 479, 459, 489]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 493, 10, 503]}, {\"cell\": \"question on weekly injection of adalmumab\", \"bbox\": [94, 493, 238, 503]}, {\"cell\": \"Walgreens\", \"bbox\": [424, 493, 459, 503]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 507, 10, 517]}, {\"cell\": \"question on weekly injection of etanercept\", \"bbox\": [94, 507, 235, 517]}, {\"cell\": \"Walgreens\", \"bbox\": [424, 507, 459, 517]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 521, 10, 531]}, {\"cell\": \"question on weekly injection of infliximab\", \"bbox\": [94, 521, 231, 531]}, {\"cell\": \"Walgreens\", \"bbox\": [424, 521, 459, 531]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 535, 10, 545]}, {\"cell\": \"question whether recieving aspirin-containing therapy\", \"bbox\": [94, 535, 271, 545]}, {\"cell\": \"Walgreens\", \"bbox\": [424, 535, 459, 545]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 549, 10, 559]}, {\"cell\": \"question on current anti-malarial medication\", \"bbox\": [94, 549, 240, 559]}, {\"cell\": \"Walgreens\", \"bbox\": [424, 549, 459, 559]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4837519_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]12345ANOVA P-valueBonferroni at 0.05
[EMPTY_CELL]Controls 1 (n = 436)MCI (n = 181)AD (n = 230)MD (n = 126)VD (n = 195)[EMPTY_CELL][EMPTY_CELL]
Age (years)78.8 ± 7.577.7 ± 6.878.5 ± 7.077.8 ± 6.478.4 ± 6.5[EMPTY_CELL]ns
MMSE score27.4 ± 1.724.0 ± 2.617.0 ± 5.417.3 ± 4.518.0 ± 4.8[EMPTY_CELL]1 vs. 2, 3, 4, 5
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]2 vs. 3, 4, 5
GDS score8.2 ± 3.98.8 ± 3.98.0 ± 4.48.6 ± 4.59.7 ± 3.5[EMPTY_CELL]1 vs. 5
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]3 vs. 5
ADLs score71.2 ± 22.968.5 ± 20.967.2 ± 24.667.2 ± 24.262.9 ± 24.1[EMPTY_CELL]1 vs. 5
IADL score3.6 ± 2.42.7 ± 2.02.0 ± 1.91.9 ± 1.91.9 ± 1.7[EMPTY_CELL]1 vs. 2, 3, 4, 5
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]2 vs. 4, 5
CIRS score31.0 ± 4.732.1 ± 4.628.8 ± 6.731.5 ± 5.532.4 ± 4.3[EMPTY_CELL]1 vs. 5
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]3 vs. 1, 2, 4, 5
CIRS-MI3.6 ± 0.53.6 ± 0.53.6 ± 0.53.7 ± 0.53.7 ± 0.5[EMPTY_CELL]ns
CIRS-SI2.2 ± 0.32.2 ± 0.42.0 ± 0.52.2 ± 0.42.3 ± 0.3[EMPTY_CELL]3 vs. 1, 2, 4, 5
CIRS-CI6.7 ± 2.17.2 ± 2.25.6 ± 2.96.9 ± 2.57.3 ± 2.0[EMPTY_CELL]1 vs. 3, 5
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]3 vs. 2, 4, 5
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [91, 6, 97, 15]}, {\"cell\": \"2\", \"bbox\": [162, 6, 168, 15]}, {\"cell\": \"3\", \"bbox\": [221, 6, 227, 15]}, {\"cell\": \"4\", \"bbox\": [279, 6, 285, 15]}, {\"cell\": \"5\", \"bbox\": [337, 6, 343, 15]}, {\"cell\": \"ANOVA P-value\", \"bbox\": [373, 6, 431, 15]}, {\"cell\": \"Bonferroni at 0.05\", \"bbox\": [442, 6, 507, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Controls 1 (n = 436)\", \"bbox\": [58, 26, 129, 35]}, {\"cell\": \"MCI (n = 181)\", \"bbox\": [141, 26, 190, 35]}, {\"cell\": \"AD (n = 230)\", \"bbox\": [201, 26, 247, 35]}, {\"cell\": \"MD (n = 126)\", \"bbox\": [258, 26, 306, 35]}, {\"cell\": \"VD (n = 195)\", \"bbox\": [316, 26, 362, 35]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Age (years)\", \"bbox\": [1, 46, 40, 55]}, {\"cell\": \"78.8 ± 7.5\", \"bbox\": [72, 46, 106, 55]}, {\"cell\": \"77.7 ± 6.8\", \"bbox\": [147, 46, 181, 55]}, {\"cell\": \"78.5 ± 7.0\", \"bbox\": [202, 46, 236, 55]}, {\"cell\": \"77.8 ± 6.4\", \"bbox\": [263, 46, 296, 55]}, {\"cell\": \"78.4 ± 6.5\", \"bbox\": [317, 46, 353, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [397, 46, 407, 55]}, {\"cell\": \"ns\", \"bbox\": [470, 46, 480, 55]}, {\"cell\": \"MMSE score\", \"bbox\": [1, 60, 46, 69]}, {\"cell\": \"27.4 ± 1.7\", \"bbox\": [74, 60, 107, 69]}, {\"cell\": \"24.0 ± 2.6\", \"bbox\": [145, 60, 181, 69]}, {\"cell\": \"17.0 ± 5.4\", \"bbox\": [204, 60, 237, 69]}, {\"cell\": \"17.3 ± 4.5\", \"bbox\": [263, 60, 296, 69]}, {\"cell\": \"18.0 ± 4.8\", \"bbox\": [318, 60, 353, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 60, 413, 68]}, {\"cell\": \"1 vs. 2, 3, 4, 5\", \"bbox\": [450, 60, 499, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2 vs. 3, 4, 5\", \"bbox\": [454, 71, 495, 80]}, {\"cell\": \"GDS score\", \"bbox\": [1, 85, 38, 94]}, {\"cell\": \"8.2 ± 3.9\", \"bbox\": [77, 85, 108, 94]}, {\"cell\": \"8.8 ± 3.9\", \"bbox\": [150, 85, 181, 94]}, {\"cell\": \"8.0 ± 4.4\", \"bbox\": [206, 85, 237, 94]}, {\"cell\": \"8.6 ± 4.5\", \"bbox\": [265, 85, 296, 94]}, {\"cell\": \"9.7 ± 3.5\", \"bbox\": [322, 85, 353, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 85, 413, 94]}, {\"cell\": \"1 vs. 5\", \"bbox\": [463, 85, 487, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3 vs. 5\", \"bbox\": [463, 97, 487, 106]}, {\"cell\": \"ADLs score\", \"bbox\": [1, 111, 41, 120]}, {\"cell\": \"71.2 ± 22.9\", \"bbox\": [73, 111, 112, 120]}, {\"cell\": \"68.5 ± 20.9\", \"bbox\": [145, 111, 185, 120]}, {\"cell\": \"67.2 ± 24.6\", \"bbox\": [204, 111, 242, 120]}, {\"cell\": \"67.2 ± 24.2\", \"bbox\": [263, 111, 301, 120]}, {\"cell\": \"62.9 ± 24.1\", \"bbox\": [317, 111, 357, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 111, 412, 119]}, {\"cell\": \"1 vs. 5\", \"bbox\": [463, 111, 487, 120]}, {\"cell\": \"IADL score\", \"bbox\": [1, 125, 40, 134]}, {\"cell\": \"3.6 ± 2.4\", \"bbox\": [77, 125, 108, 134]}, {\"cell\": \"2.7 ± 2.0\", \"bbox\": [150, 125, 181, 134]}, {\"cell\": \"2.0 ± 1.9\", \"bbox\": [206, 125, 236, 134]}, {\"cell\": \"1.9 ± 1.9\", \"bbox\": [266, 125, 295, 134]}, {\"cell\": \"1.9 ± 1.7\", \"bbox\": [323, 125, 352, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 125, 413, 133]}, {\"cell\": \"1 vs. 2, 3, 4, 5\", \"bbox\": [450, 125, 499, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2 vs. 4, 5\", \"bbox\": [459, 136, 491, 145]}, {\"cell\": \"CIRS score\", \"bbox\": [1, 150, 39, 159]}, {\"cell\": \"31.0 ± 4.7\", \"bbox\": [73, 150, 108, 159]}, {\"cell\": \"32.1 ± 4.6\", \"bbox\": [145, 150, 181, 159]}, {\"cell\": \"28.8 ± 6.7\", \"bbox\": [202, 150, 237, 159]}, {\"cell\": \"31.5 ± 5.5\", \"bbox\": [262, 150, 296, 159]}, {\"cell\": \"32.4 ± 4.3\", \"bbox\": [317, 150, 353, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 150, 413, 159]}, {\"cell\": \"1 vs. 5\", \"bbox\": [463, 150, 487, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3 vs. 1, 2, 4, 5\", \"bbox\": [450, 162, 499, 171]}, {\"cell\": \"CIRS-MI\", \"bbox\": [1, 176, 30, 185]}, {\"cell\": \"3.6 ± 0.5\", \"bbox\": [77, 176, 108, 185]}, {\"cell\": \"3.6 ± 0.5\", \"bbox\": [150, 176, 181, 185]}, {\"cell\": \"3.6 ± 0.5\", \"bbox\": [206, 176, 237, 185]}, {\"cell\": \"3.7 ± 0.5\", \"bbox\": [265, 176, 296, 185]}, {\"cell\": \"3.7 ± 0.5\", \"bbox\": [322, 176, 353, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [397, 176, 407, 185]}, {\"cell\": \"ns\", \"bbox\": [470, 176, 480, 185]}, {\"cell\": \"CIRS-SI\", \"bbox\": [1, 190, 28, 198]}, {\"cell\": \"2.2 ± 0.3\", \"bbox\": [77, 190, 108, 198]}, {\"cell\": \"2.2 ± 0.4\", \"bbox\": [150, 190, 181, 198]}, {\"cell\": \"2.0 ± 0.5\", \"bbox\": [206, 190, 237, 198]}, {\"cell\": \"2.2 ± 0.4\", \"bbox\": [265, 190, 296, 198]}, {\"cell\": \"2.3 ± 0.3\", \"bbox\": [322, 190, 353, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 189, 413, 198]}, {\"cell\": \"3 vs. 1, 2, 4, 5\", \"bbox\": [450, 190, 499, 198]}, {\"cell\": \"CIRS-CI\", \"bbox\": [1, 203, 28, 212]}, {\"cell\": \"6.7 ± 2.1\", \"bbox\": [77, 203, 108, 212]}, {\"cell\": \"7.2 ± 2.2\", \"bbox\": [151, 203, 181, 212]}, {\"cell\": \"5.6 ± 2.9\", \"bbox\": [206, 203, 237, 212]}, {\"cell\": \"6.9 ± 2.5\", \"bbox\": [265, 203, 296, 212]}, {\"cell\": \"7.3 ± 2.0\", \"bbox\": [323, 203, 353, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 203, 413, 212]}, {\"cell\": \"1 vs. 3, 5\", \"bbox\": [459, 203, 491, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3 vs. 2, 4, 5\", \"bbox\": [454, 215, 495, 224]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4224124_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]AgeGenderPractice Type
[EMPTY_CELL]χ2Pχ2Pχ2P
Career Factors[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
A) My career structure in general9.4220.05127.520.006*6.22[EMPTY_CELL]
B) My prospects for future promotion32.0360.001*66.240.001*7.15[EMPTY_CELL]
C) Salary that I currently receive13.0960.011*36.570.003*1.52[EMPTY_CELL]
D) Long hours I have to work11.1360.025*22.900.029*2.59[EMPTY_CELL]
E) Not having enough rest breaks per day8.9590.06233.320.001*1.89[EMPTY_CELL]
F) Not having enough holidays per year1.3740.84913.380.3426.30[EMPTY_CELL]
Professional Factors[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
G) Attitude of my colleagues/workmates6.5620.16131.820.002*3.475[EMPTY_CELL]
H) Attitude of my superiors51.3830.001*79.520.001*4.318[EMPTY_CELL]
I) Attitude of my clients/customers4.0050.40531.780.002*0.860[EMPTY_CELL]
J) Lack of recognition by the public4.0340.40233.520.001*1.972[EMPTY_CELL]
K) Lack of recognition by colleagues7.2530.12318.2150.1096.864[EMPTY_CELL]
L) Lack of understanding by my partner/family5.5880.23219.580.0769.119[EMPTY_CELL]
Practice Issues[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
M) Having too many patients per day4.0560.39939.220.001*5.431[EMPTY_CELL]
N) Not having enough time for each patient5.8760.20950.940.001*17.481[EMPTY_CELL]
O) Pressure to over-service/over-prescribe1.7940.77437.970.001*13.344[EMPTY_CELL]
P) Possibility of litigation8.0960.08833.800.001*2.375[EMPTY_CELL]
Q) Potential danger from animals3.5140.47629.010.004*5.608[EMPTY_CELL]
R) Potential danger from zoonotic diseases1.5700.81423.970.021*1.701[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Age\", \"bbox\": [274, 5, 291, 14]}, {\"cell\": \"Gender\", \"bbox\": [354, 5, 385, 14]}, {\"cell\": \"Practice Type\", \"bbox\": [429, 5, 485, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"χ2\", \"bbox\": [255, 16, 265, 38]}, {\"cell\": \"P\", \"bbox\": [300, 27, 308, 36]}, {\"cell\": \"χ2\", \"bbox\": [343, 16, 352, 38]}, {\"cell\": \"P\", \"bbox\": [387, 27, 395, 36]}, {\"cell\": \"χ2\", \"bbox\": [430, 16, 439, 38]}, {\"cell\": \"P\", \"bbox\": [474, 27, 482, 36]}, {\"cell\": \"Career Factors\", \"bbox\": [4, 49, 65, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" A) My career structure in general\", \"bbox\": [14, 71, 129, 81]}, {\"cell\": \"9.422\", \"bbox\": [250, 71, 270, 81]}, {\"cell\": \"0.051\", \"bbox\": [294, 71, 314, 81]}, {\"cell\": \"27.52\", \"bbox\": [337, 71, 358, 81]}, {\"cell\": \"0.006*\", \"bbox\": [378, 71, 404, 81]}, {\"cell\": \"6.22\", \"bbox\": [426, 71, 443, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 71, 488, 81]}, {\"cell\": \" B) My prospects for future promotion\", \"bbox\": [14, 81, 144, 91]}, {\"cell\": \"32.036\", \"bbox\": [248, 81, 272, 91]}, {\"cell\": \"0.001*\", \"bbox\": [291, 82, 317, 91]}, {\"cell\": \"66.24\", \"bbox\": [337, 81, 357, 91]}, {\"cell\": \"0.001*\", \"bbox\": [378, 82, 404, 91]}, {\"cell\": \"7.15\", \"bbox\": [426, 81, 443, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 81, 488, 91]}, {\"cell\": \" C) Salary that I currently receive\", \"bbox\": [14, 92, 126, 101]}, {\"cell\": \"13.096\", \"bbox\": [248, 92, 272, 101]}, {\"cell\": \"0.011*\", \"bbox\": [291, 92, 317, 101]}, {\"cell\": \"36.57\", \"bbox\": [337, 92, 357, 101]}, {\"cell\": \"0.003*\", \"bbox\": [378, 92, 404, 101]}, {\"cell\": \"1.52\", \"bbox\": [426, 92, 443, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 92, 488, 101]}, {\"cell\": \" D) Long hours I have to work\", \"bbox\": [14, 102, 117, 112]}, {\"cell\": \"11.136\", \"bbox\": [248, 102, 272, 112]}, {\"cell\": \"0.025*\", \"bbox\": [292, 102, 316, 112]}, {\"cell\": \"22.90\", \"bbox\": [337, 102, 357, 112]}, {\"cell\": \"0.029*\", \"bbox\": [378, 102, 404, 112]}, {\"cell\": \"2.59\", \"bbox\": [426, 102, 443, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 102, 488, 112]}, {\"cell\": \" E) Not having enough rest breaks per day\", \"bbox\": [14, 112, 156, 122]}, {\"cell\": \"8.959\", \"bbox\": [250, 112, 270, 122]}, {\"cell\": \"0.062\", \"bbox\": [294, 112, 314, 122]}, {\"cell\": \"33.32\", \"bbox\": [337, 112, 358, 122]}, {\"cell\": \"0.001*\", \"bbox\": [378, 112, 404, 122]}, {\"cell\": \"1.89\", \"bbox\": [426, 112, 443, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 112, 488, 122]}, {\"cell\": \" F) Not having enough holidays per year\", \"bbox\": [14, 122, 148, 132]}, {\"cell\": \"1.374\", \"bbox\": [250, 122, 270, 132]}, {\"cell\": \"0.849\", \"bbox\": [294, 122, 314, 132]}, {\"cell\": \"13.38\", \"bbox\": [337, 122, 358, 132]}, {\"cell\": \"0.342\", \"bbox\": [381, 122, 401, 132]}, {\"cell\": \"6.30\", \"bbox\": [426, 122, 443, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 122, 488, 132]}, {\"cell\": \"Professional Factors\", \"bbox\": [4, 133, 84, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" G) Attitude of my colleagues/workmates\", \"bbox\": [14, 155, 152, 165]}, {\"cell\": \"6.562\", \"bbox\": [250, 155, 270, 165]}, {\"cell\": \"0.161\", \"bbox\": [294, 155, 314, 165]}, {\"cell\": \"31.82\", \"bbox\": [337, 155, 357, 165]}, {\"cell\": \"0.002*\", \"bbox\": [378, 155, 404, 165]}, {\"cell\": \"3.475\", \"bbox\": [424, 155, 445, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 155, 488, 165]}, {\"cell\": \" H) Attitude of my superiors\", \"bbox\": [14, 165, 110, 175]}, {\"cell\": \"51.383\", \"bbox\": [248, 165, 272, 175]}, {\"cell\": \"0.001*\", \"bbox\": [291, 165, 317, 175]}, {\"cell\": \"79.52\", \"bbox\": [337, 165, 357, 175]}, {\"cell\": \"0.001*\", \"bbox\": [378, 165, 404, 175]}, {\"cell\": \"4.318\", \"bbox\": [424, 165, 445, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 165, 488, 175]}, {\"cell\": \" I) Attitude of my clients/customers\", \"bbox\": [14, 175, 133, 185]}, {\"cell\": \"4.005\", \"bbox\": [250, 175, 270, 185]}, {\"cell\": \"0.405\", \"bbox\": [294, 175, 314, 185]}, {\"cell\": \"31.78\", \"bbox\": [337, 175, 357, 185]}, {\"cell\": \"0.002*\", \"bbox\": [378, 176, 404, 185]}, {\"cell\": \"0.860\", \"bbox\": [424, 175, 445, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 175, 488, 185]}, {\"cell\": \" J) Lack of recognition by the public\", \"bbox\": [14, 186, 133, 195]}, {\"cell\": \"4.034\", \"bbox\": [250, 186, 270, 195]}, {\"cell\": \"0.402\", \"bbox\": [294, 186, 314, 195]}, {\"cell\": \"33.52\", \"bbox\": [337, 186, 358, 195]}, {\"cell\": \"0.001*\", \"bbox\": [378, 186, 404, 195]}, {\"cell\": \"1.972\", \"bbox\": [424, 186, 445, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 186, 488, 195]}, {\"cell\": \" K) Lack of recognition by colleagues\", \"bbox\": [14, 196, 137, 206]}, {\"cell\": \"7.253\", \"bbox\": [250, 196, 270, 206]}, {\"cell\": \"0.123\", \"bbox\": [294, 196, 314, 206]}, {\"cell\": \"18.215\", \"bbox\": [335, 196, 360, 206]}, {\"cell\": \"0.109\", \"bbox\": [381, 196, 401, 206]}, {\"cell\": \"6.864\", \"bbox\": [424, 196, 445, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 196, 488, 206]}, {\"cell\": \" L) Lack of understanding by my partner/family\", \"bbox\": [14, 206, 170, 216]}, {\"cell\": \"5.588\", \"bbox\": [250, 206, 270, 216]}, {\"cell\": \"0.232\", \"bbox\": [294, 206, 314, 216]}, {\"cell\": \"19.58\", \"bbox\": [337, 206, 358, 216]}, {\"cell\": \"0.076\", \"bbox\": [381, 206, 401, 216]}, {\"cell\": \"9.119\", \"bbox\": [424, 206, 445, 216]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 206, 488, 216]}, {\"cell\": \"Practice Issues\", \"bbox\": [4, 217, 63, 226]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" M) Having too many patients per day\", \"bbox\": [14, 239, 140, 248]}, {\"cell\": \"4.056\", \"bbox\": [250, 239, 270, 248]}, {\"cell\": \"0.399\", \"bbox\": [294, 239, 314, 248]}, {\"cell\": \"39.22\", \"bbox\": [337, 239, 357, 248]}, {\"cell\": \"0.001*\", \"bbox\": [378, 239, 404, 248]}, {\"cell\": \"5.431\", \"bbox\": [424, 239, 445, 248]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 239, 488, 248]}, {\"cell\": \" N) Not having enough time for each patient\", \"bbox\": [14, 249, 163, 259]}, {\"cell\": \"5.876\", \"bbox\": [250, 249, 270, 259]}, {\"cell\": \"0.209\", \"bbox\": [294, 249, 314, 259]}, {\"cell\": \"50.94\", \"bbox\": [337, 249, 357, 259]}, {\"cell\": \"0.001*\", \"bbox\": [378, 249, 404, 259]}, {\"cell\": \"17.481\", \"bbox\": [422, 249, 447, 259]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [465, 249, 491, 259]}, {\"cell\": \" O) Pressure to over-service/over-prescribe\", \"bbox\": [14, 259, 162, 269]}, {\"cell\": \"1.794\", \"bbox\": [250, 259, 271, 269]}, {\"cell\": \"0.774\", \"bbox\": [294, 259, 314, 269]}, {\"cell\": \"37.97\", \"bbox\": [337, 259, 357, 269]}, {\"cell\": \"0.001*\", \"bbox\": [378, 259, 404, 269]}, {\"cell\": \"13.344\", \"bbox\": [422, 259, 447, 269]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [465, 259, 491, 269]}, {\"cell\": \" P) Possibility of litigation\", \"bbox\": [14, 269, 98, 279]}, {\"cell\": \"8.096\", \"bbox\": [250, 269, 271, 279]}, {\"cell\": \"0.088\", \"bbox\": [294, 269, 314, 279]}, {\"cell\": \"33.80\", \"bbox\": [337, 269, 357, 279]}, {\"cell\": \"0.001*\", \"bbox\": [378, 270, 404, 279]}, {\"cell\": \"2.375\", \"bbox\": [424, 269, 445, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 269, 488, 279]}, {\"cell\": \" Q) Potential danger from animals\", \"bbox\": [14, 280, 128, 289]}, {\"cell\": \"3.514\", \"bbox\": [250, 280, 270, 289]}, {\"cell\": \"0.476\", \"bbox\": [294, 280, 314, 289]}, {\"cell\": \"29.01\", \"bbox\": [337, 280, 357, 289]}, {\"cell\": \"0.004*\", \"bbox\": [378, 280, 404, 289]}, {\"cell\": \"5.608\", \"bbox\": [424, 280, 445, 289]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 280, 488, 289]}, {\"cell\": \" R) Potential danger from zoonotic diseases\", \"bbox\": [14, 290, 160, 300]}, {\"cell\": \"1.570\", \"bbox\": [250, 290, 270, 300]}, {\"cell\": \"0.814\", \"bbox\": [294, 290, 314, 300]}, {\"cell\": \"23.97\", \"bbox\": [337, 290, 357, 300]}, {\"cell\": \"0.021*\", \"bbox\": [378, 290, 404, 300]}, {\"cell\": \"1.701\", \"bbox\": [424, 290, 445, 300]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 290, 488, 300]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2797516_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Participant CharacteristicsSampleControlTRMp-value
Demographicsn = 117n = 58n = 59[EMPTY_CELL]
Age, y, mean (SD)67.4 (6.7)67.4 (6.7)68.5 (6.3)[EMPTY_CELL]
Sex, no. (%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Male27 (23.1)17 (29.4)10 (16.9)[EMPTY_CELL]
Marital Status, no. (%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Married/Common Law45 (38.5)21 (36.2)24 (40.7)[EMPTY_CELL]
Widowed/Separated/Divorced44 (37.6)21 (36.2)23 (38.0)[EMPTY_CELL]
Single28 (23.9)16 (27.6)12 (20.3)[EMPTY_CELL]
Education, no. (%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
High School (or less)21 (17.9)13 (22.4)8 (13.6)[EMPTY_CELL]
College/Trade School/University96 (82.1)45 (77.6)51 (86.4)[EMPTY_CELL]
Health-Related Variable, mean (SD)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
BMI (Kg/m^2)24.8 (4.5)25.1 (4.3)25.6 (4.6)[EMPTY_CELL]
MMSE (/30)29.3 (1.1)29.1 (1.3)29.4 (0.8)[EMPTY_CELL]
Braden Pressure Ulcer Risk (/23)22.8 (0.4)22.9 (0.4)22.8 (0.4)[EMPTY_CELL]
Functional Comorbidity Index (/18)2.2 (1.6)1.8 (1.3)2.5 (1.8)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Participant Characteristics\", \"bbox\": [1, 4, 92, 13]}, {\"cell\": \"Sample\", \"bbox\": [183, 4, 211, 13]}, {\"cell\": \"Control\", \"bbox\": [274, 4, 302, 13]}, {\"cell\": \"TRM\", \"bbox\": [366, 4, 383, 13]}, {\"cell\": \"p-value\", \"bbox\": [457, 4, 484, 13]}, {\"cell\": \"Demographics\", \"bbox\": [1, 17, 53, 26]}, {\"cell\": \"n = 117\", \"bbox\": [183, 17, 210, 26]}, {\"cell\": \"n = 58\", \"bbox\": [274, 17, 297, 26]}, {\"cell\": \"n = 59\", \"bbox\": [366, 17, 388, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Age, y, mean (SD)\", \"bbox\": [1, 30, 60, 40]}, {\"cell\": \"67.4 (6.7)\", \"bbox\": [183, 30, 214, 40]}, {\"cell\": \"67.4 (6.7)\", \"bbox\": [274, 30, 305, 40]}, {\"cell\": \"68.5 (6.3)\", \"bbox\": [366, 30, 396, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 30, 472, 40]}, {\"cell\": \"Sex, no. (%)\", \"bbox\": [1, 43, 39, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 43, 472, 53]}, {\"cell\": \" Male\", \"bbox\": [8, 57, 26, 66]}, {\"cell\": \"27 (23.1)\", \"bbox\": [183, 57, 212, 66]}, {\"cell\": \"17 (29.4)\", \"bbox\": [274, 57, 304, 66]}, {\"cell\": \"10 (16.9)\", \"bbox\": [366, 57, 395, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Marital Status, no. (%)\", \"bbox\": [1, 70, 71, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 70, 472, 79]}, {\"cell\": \" Married/Common Law\", \"bbox\": [8, 83, 83, 92]}, {\"cell\": \"45 (38.5)\", \"bbox\": [183, 83, 212, 92]}, {\"cell\": \"21 (36.2)\", \"bbox\": [274, 83, 304, 92]}, {\"cell\": \"24 (40.7)\", \"bbox\": [366, 83, 395, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Widowed/Separated/Divorced\", \"bbox\": [8, 96, 107, 105]}, {\"cell\": \"44 (37.6)\", \"bbox\": [183, 96, 212, 105]}, {\"cell\": \"21 (36.2)\", \"bbox\": [274, 96, 304, 105]}, {\"cell\": \"23 (38.0)\", \"bbox\": [366, 96, 395, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Single\", \"bbox\": [8, 109, 30, 119]}, {\"cell\": \"28 (23.9)\", \"bbox\": [183, 109, 212, 119]}, {\"cell\": \"16 (27.6)\", \"bbox\": [274, 109, 304, 119]}, {\"cell\": \"12 (20.3)\", \"bbox\": [366, 109, 395, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Education, no. (%)\", \"bbox\": [1, 122, 60, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 122, 472, 132]}, {\"cell\": \" High School (or less)\", \"bbox\": [8, 135, 76, 145]}, {\"cell\": \"21 (17.9)\", \"bbox\": [183, 135, 212, 145]}, {\"cell\": \"13 (22.4)\", \"bbox\": [274, 135, 304, 145]}, {\"cell\": \"8 (13.6)\", \"bbox\": [366, 135, 391, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" College/Trade School/University\", \"bbox\": [8, 149, 113, 158]}, {\"cell\": \"96 (82.1)\", \"bbox\": [183, 149, 212, 158]}, {\"cell\": \"45 (77.6)\", \"bbox\": [274, 149, 304, 158]}, {\"cell\": \"51 (86.4)\", \"bbox\": [366, 149, 395, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Health-Related Variable, mean (SD)\", \"bbox\": [1, 162, 114, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" BMI (Kg/m^2)\", \"bbox\": [8, 175, 55, 184]}, {\"cell\": \"24.8 (4.5)\", \"bbox\": [183, 175, 214, 184]}, {\"cell\": \"25.1 (4.3)\", \"bbox\": [274, 175, 305, 184]}, {\"cell\": \"25.6 (4.6)\", \"bbox\": [366, 175, 396, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 175, 472, 184]}, {\"cell\": \" MMSE (/30)\", \"bbox\": [8, 188, 47, 197]}, {\"cell\": \"29.3 (1.1)\", \"bbox\": [183, 188, 214, 197]}, {\"cell\": \"29.1 (1.3)\", \"bbox\": [274, 188, 305, 197]}, {\"cell\": \"29.4 (0.8)\", \"bbox\": [366, 188, 396, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 188, 472, 197]}, {\"cell\": \" Braden Pressure Ulcer Risk (/23)\", \"bbox\": [8, 201, 111, 211]}, {\"cell\": \"22.8 (0.4)\", \"bbox\": [183, 201, 214, 211]}, {\"cell\": \"22.9 (0.4)\", \"bbox\": [274, 201, 305, 211]}, {\"cell\": \"22.8 (0.4)\", \"bbox\": [366, 201, 396, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 201, 472, 211]}, {\"cell\": \" Functional Comorbidity Index (/18)\", \"bbox\": [8, 214, 123, 224]}, {\"cell\": \"2.2 (1.6)\", \"bbox\": [183, 214, 210, 224]}, {\"cell\": \"1.8 (1.3)\", \"bbox\": [274, 214, 301, 224]}, {\"cell\": \"2.5 (1.8)\", \"bbox\": [366, 214, 392, 224]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 214, 475, 224]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3538673_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Controls N = 202Cases N = 202OR95% CIP value
Shrimp
Average8473[EMPTY_CELL]Reference[EMPTY_CELL]
Much preferred1344[EMPTY_CELL]1.95–7.79<0.001*
Preferred5360[EMPTY_CELL]0.80–2.120.285
Not preferred3819[EMPTY_CELL]0.31–1.080.086
Not preferred much145[EMPTY_CELL]0.14–1.200.094
Shellfish
Average9773[EMPTY_CELL]Reference[EMPTY_CELL]
Much preferred931[EMPTY_CELL]2.05–10.21[EMPTY_CELL]
Preferred3756[EMPTY_CELL]1.20–3.360.007*
Not preferred4839[EMPTY_CELL]0.64–1.820.773
Not preferred much113[EMPTY_CELL]0.10–1.350.116
Soft drinks
Average6572[EMPTY_CELL]Reference[EMPTY_CELL]
Much preferred310[EMPTY_CELL]0.79–11.410.092
Preferred1030[EMPTY_CELL]1.23–5.970.011*
Not preferred9265[EMPTY_CELL]0.40–1.010.056
Not preferred much3124[EMPTY_CELL]0.37–1.310.264
Milk
Average9190[EMPTY_CELL]Reference[EMPTY_CELL]
Much preferred1025[EMPTY_CELL]1.15–5.570.018*
Preferred4937[EMPTY_CELL]0.46–1.280.306
Not preferred3543[EMPTY_CELL]0.73–2.120.425
Not preferred much177[EMPTY_CELL]0.17–1.050.058
Popcorn/fries
Average7986[EMPTY_CELL]Reference[EMPTY_CELL]
Much preferred315[EMPTY_CELL]1.28–16.460.011*
Preferred3432[EMPTY_CELL]0.49–1.530.618
Not preferred5746[EMPTY_CELL]0.45–1.220.235
Not preferred much2923[EMPTY_CELL]0.39–1.360.321
Nuts[EMPTY_CELL]
Average6488[EMPTY_CELL]Reference[EMPTY_CELL]
Much preferred3926[EMPTY_CELL]0.27–0.880.016*
Preferred8465[EMPTY_CELL]0.36–0.890.013*
Not preferred1018[EMPTY_CELL]0.57–3.020.528
Not preferred much55[EMPTY_CELL]0.20–2.620.745
Products made from bean
Average3967[EMPTY_CELL]Reference[EMPTY_CELL]
Much preferred5339[EMPTY_CELL]0.24–0.760.003*
Preferred10387[EMPTY_CELL]0.30–0.800.004*
Not preferred58[EMPTY_CELL]0.29–3.051.000
Not preferred much21[EMPTY_CELL]0.026–3.320.555
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Controls N = 202\", \"bbox\": [118, 4, 178, 12]}, {\"cell\": \"Cases N = 202\", \"bbox\": [216, 4, 266, 12]}, {\"cell\": \"OR\", \"bbox\": [301, 4, 313, 12]}, {\"cell\": \"95% CI\", \"bbox\": [375, 4, 400, 12]}, {\"cell\": \"P value\", \"bbox\": [458, 4, 484, 12]}, {\"cell\": \"Shrimp\", \"bbox\": [1, 22, 26, 32]}, {\"cell\": \" Average\", \"bbox\": [5, 34, 33, 44]}, {\"cell\": \"84\", \"bbox\": [121, 34, 131, 44]}, {\"cell\": \"73\", \"bbox\": [216, 34, 225, 44]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 34, 316, 44]}, {\"cell\": \"Reference\", \"bbox\": [375, 34, 408, 44]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Much preferred\", \"bbox\": [5, 46, 57, 56]}, {\"cell\": \"13\", \"bbox\": [121, 46, 131, 56]}, {\"cell\": \"44\", \"bbox\": [216, 46, 225, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 46, 316, 56]}, {\"cell\": \"1.95–7.79\", \"bbox\": [375, 46, 407, 56]}, {\"cell\": \"<0.001*\", \"bbox\": [458, 47, 484, 54]}, {\"cell\": \" Preferred\", \"bbox\": [5, 58, 36, 68]}, {\"cell\": \"53\", \"bbox\": [121, 58, 131, 68]}, {\"cell\": \"60\", \"bbox\": [215, 58, 225, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [300, 58, 316, 68]}, {\"cell\": \"0.80–2.12\", \"bbox\": [374, 58, 407, 68]}, {\"cell\": \"0.285\", \"bbox\": [462, 58, 481, 68]}, {\"cell\": \" Not preferred\", \"bbox\": [5, 71, 50, 80]}, {\"cell\": \"38\", \"bbox\": [121, 71, 131, 80]}, {\"cell\": \"19\", \"bbox\": [216, 71, 225, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 71, 316, 80]}, {\"cell\": \"0.31–1.08\", \"bbox\": [375, 71, 407, 80]}, {\"cell\": \"0.086\", \"bbox\": [462, 71, 481, 80]}, {\"cell\": \" Not preferred much\", \"bbox\": [5, 83, 71, 92]}, {\"cell\": \"14\", \"bbox\": [121, 83, 131, 92]}, {\"cell\": \"5\", \"bbox\": [219, 83, 225, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 83, 316, 92]}, {\"cell\": \"0.14–1.20\", \"bbox\": [375, 83, 407, 92]}, {\"cell\": \"0.094\", \"bbox\": [462, 83, 481, 92]}, {\"cell\": \"Shellfish\", \"bbox\": [1, 95, 29, 104]}, {\"cell\": \" Average\", \"bbox\": [5, 107, 33, 116]}, {\"cell\": \"97\", \"bbox\": [121, 107, 131, 116]}, {\"cell\": \"73\", \"bbox\": [216, 107, 225, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 107, 316, 116]}, {\"cell\": \"Reference\", \"bbox\": [375, 107, 408, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Much preferred\", \"bbox\": [5, 119, 57, 128]}, {\"cell\": \"9\", \"bbox\": [125, 119, 131, 128]}, {\"cell\": \"31\", \"bbox\": [215, 119, 225, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [300, 119, 316, 128]}, {\"cell\": \"2.05–10.21\", \"bbox\": [374, 119, 411, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 119, 484, 127]}, {\"cell\": \" Preferred\", \"bbox\": [5, 131, 36, 140]}, {\"cell\": \"37\", \"bbox\": [121, 131, 131, 140]}, {\"cell\": \"56\", \"bbox\": [215, 131, 225, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [300, 131, 316, 140]}, {\"cell\": \"1.20–3.36\", \"bbox\": [374, 131, 407, 140]}, {\"cell\": \"0.007*\", \"bbox\": [462, 131, 484, 139]}, {\"cell\": \" Not preferred\", \"bbox\": [5, 143, 50, 153]}, {\"cell\": \"48\", \"bbox\": [121, 143, 131, 153]}, {\"cell\": \"39\", \"bbox\": [216, 143, 225, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 143, 316, 153]}, {\"cell\": \"0.64–1.82\", \"bbox\": [375, 143, 407, 153]}, {\"cell\": \"0.773\", \"bbox\": [462, 143, 481, 153]}, {\"cell\": \" Not preferred much\", \"bbox\": [5, 155, 71, 165]}, {\"cell\": \"11\", \"bbox\": [121, 155, 131, 165]}, {\"cell\": \"3\", \"bbox\": [219, 155, 225, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 155, 316, 165]}, {\"cell\": \"0.10–1.35\", \"bbox\": [375, 155, 407, 165]}, {\"cell\": \"0.116\", \"bbox\": [462, 155, 481, 165]}, {\"cell\": \"Soft drinks\", \"bbox\": [1, 167, 36, 177]}, {\"cell\": \" Average\", \"bbox\": [5, 179, 33, 189]}, {\"cell\": \"65\", \"bbox\": [121, 179, 131, 189]}, {\"cell\": \"72\", \"bbox\": [216, 179, 225, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 179, 316, 189]}, {\"cell\": \"Reference\", \"bbox\": [375, 179, 408, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Much preferred\", \"bbox\": [5, 192, 57, 201]}, {\"cell\": \"3\", \"bbox\": [125, 192, 131, 201]}, {\"cell\": \"10\", \"bbox\": [215, 192, 225, 201]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [300, 192, 316, 201]}, {\"cell\": \"0.79–11.41\", \"bbox\": [374, 192, 411, 201]}, {\"cell\": \"0.092\", \"bbox\": [462, 192, 481, 201]}, {\"cell\": \" Preferred\", \"bbox\": [5, 204, 36, 213]}, {\"cell\": \"10\", \"bbox\": [121, 204, 131, 213]}, {\"cell\": \"30\", \"bbox\": [215, 204, 225, 213]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [300, 204, 316, 213]}, {\"cell\": \"1.23–5.97\", \"bbox\": [374, 204, 407, 213]}, {\"cell\": \"0.011*\", \"bbox\": [462, 204, 484, 211]}, {\"cell\": \" Not preferred\", \"bbox\": [5, 216, 50, 225]}, {\"cell\": \"92\", \"bbox\": [121, 216, 131, 225]}, {\"cell\": \"65\", \"bbox\": [216, 216, 225, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 216, 316, 225]}, {\"cell\": \"0.40–1.01\", \"bbox\": [375, 216, 407, 225]}, {\"cell\": \"0.056\", \"bbox\": [462, 216, 481, 225]}, {\"cell\": \" Not preferred much\", \"bbox\": [5, 228, 71, 237]}, {\"cell\": \"31\", \"bbox\": [121, 228, 131, 237]}, {\"cell\": \"24\", \"bbox\": [216, 228, 225, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 228, 316, 237]}, {\"cell\": \"0.37–1.31\", \"bbox\": [375, 228, 407, 237]}, {\"cell\": \"0.264\", \"bbox\": [462, 228, 481, 237]}, {\"cell\": \"Milk\", \"bbox\": [1, 240, 16, 249]}, {\"cell\": \" Average\", \"bbox\": [5, 252, 33, 261]}, {\"cell\": \"91\", \"bbox\": [121, 252, 131, 261]}, {\"cell\": \"90\", \"bbox\": [216, 252, 225, 261]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 252, 316, 261]}, {\"cell\": \"Reference\", \"bbox\": [375, 252, 408, 261]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Much preferred\", \"bbox\": [5, 264, 57, 274]}, {\"cell\": \"10\", \"bbox\": [121, 264, 131, 274]}, {\"cell\": \"25\", \"bbox\": [216, 264, 225, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 264, 316, 274]}, {\"cell\": \"1.15–5.57\", \"bbox\": [375, 264, 407, 274]}, {\"cell\": \"0.018*\", \"bbox\": [462, 264, 484, 272]}, {\"cell\": \" Preferred\", \"bbox\": [5, 276, 36, 286]}, {\"cell\": \"49\", \"bbox\": [121, 276, 131, 286]}, {\"cell\": \"37\", \"bbox\": [215, 276, 225, 286]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [300, 276, 316, 286]}, {\"cell\": \"0.46–1.28\", \"bbox\": [374, 276, 407, 286]}, {\"cell\": \"0.306\", \"bbox\": [462, 276, 481, 286]}, {\"cell\": \" Not preferred\", \"bbox\": [5, 288, 50, 298]}, {\"cell\": \"35\", \"bbox\": [121, 288, 131, 298]}, {\"cell\": \"43\", \"bbox\": [216, 288, 225, 298]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 288, 316, 298]}, {\"cell\": \"0.73–2.12\", \"bbox\": [375, 288, 407, 298]}, {\"cell\": \"0.425\", \"bbox\": [462, 288, 481, 298]}, {\"cell\": \" Not preferred much\", \"bbox\": [5, 300, 71, 310]}, {\"cell\": \"17\", \"bbox\": [121, 300, 131, 310]}, {\"cell\": \"7\", \"bbox\": [219, 300, 225, 310]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 300, 316, 310]}, {\"cell\": \"0.17–1.05\", \"bbox\": [375, 300, 407, 310]}, {\"cell\": \"0.058\", \"bbox\": [462, 300, 481, 310]}, {\"cell\": \"Popcorn/fries\", \"bbox\": [1, 312, 45, 322]}, {\"cell\": \" Average\", \"bbox\": [5, 325, 33, 334]}, {\"cell\": \"79\", \"bbox\": [121, 325, 131, 334]}, {\"cell\": \"86\", \"bbox\": [216, 325, 225, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 325, 316, 334]}, {\"cell\": \"Reference\", \"bbox\": [375, 325, 408, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Much preferred\", \"bbox\": [5, 337, 57, 346]}, {\"cell\": \"3\", \"bbox\": [125, 337, 131, 346]}, {\"cell\": \"15\", \"bbox\": [215, 337, 225, 346]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [300, 337, 316, 346]}, {\"cell\": \"1.28–16.46\", \"bbox\": [374, 337, 411, 346]}, {\"cell\": \"0.011*\", \"bbox\": [462, 337, 484, 345]}, {\"cell\": \" Preferred\", \"bbox\": [5, 349, 36, 358]}, {\"cell\": \"34\", \"bbox\": [121, 349, 131, 358]}, {\"cell\": \"32\", \"bbox\": [215, 349, 225, 358]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [300, 349, 316, 358]}, {\"cell\": \"0.49–1.53\", \"bbox\": [374, 349, 407, 358]}, {\"cell\": \"0.618\", \"bbox\": [462, 349, 481, 358]}, {\"cell\": \" Not preferred\", \"bbox\": [5, 361, 50, 370]}, {\"cell\": \"57\", \"bbox\": [121, 361, 131, 370]}, {\"cell\": \"46\", \"bbox\": [216, 361, 225, 370]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 361, 316, 370]}, {\"cell\": \"0.45–1.22\", \"bbox\": [375, 361, 407, 370]}, {\"cell\": \"0.235\", \"bbox\": [462, 361, 481, 370]}, {\"cell\": \" Not preferred much\", \"bbox\": [5, 373, 71, 382]}, {\"cell\": \"29\", \"bbox\": [121, 373, 131, 382]}, {\"cell\": \"23\", \"bbox\": [216, 373, 225, 382]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 373, 316, 382]}, {\"cell\": \"0.39–1.36\", \"bbox\": [375, 373, 407, 382]}, {\"cell\": \"0.321\", \"bbox\": [462, 373, 481, 382]}, {\"cell\": \"Nuts\", \"bbox\": [1, 385, 17, 394]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Average\", \"bbox\": [5, 397, 33, 407]}, {\"cell\": \"64\", \"bbox\": [121, 397, 131, 407]}, {\"cell\": \"88\", \"bbox\": [216, 397, 225, 407]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 397, 316, 407]}, {\"cell\": \"Reference\", \"bbox\": [375, 397, 408, 407]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Much preferred\", \"bbox\": [5, 409, 57, 419]}, {\"cell\": \"39\", \"bbox\": [121, 409, 131, 419]}, {\"cell\": \"26\", \"bbox\": [216, 409, 225, 419]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 409, 316, 419]}, {\"cell\": \"0.27–0.88\", \"bbox\": [375, 409, 407, 419]}, {\"cell\": \"0.016*\", \"bbox\": [462, 409, 484, 417]}, {\"cell\": \" Preferred\", \"bbox\": [5, 421, 36, 431]}, {\"cell\": \"84\", \"bbox\": [121, 421, 131, 431]}, {\"cell\": \"65\", \"bbox\": [215, 421, 225, 431]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [300, 421, 316, 431]}, {\"cell\": \"0.36–0.89\", \"bbox\": [374, 421, 407, 431]}, {\"cell\": \"0.013*\", \"bbox\": [462, 422, 484, 429]}, {\"cell\": \" Not preferred\", \"bbox\": [5, 433, 50, 443]}, {\"cell\": \"10\", \"bbox\": [121, 433, 131, 443]}, {\"cell\": \"18\", \"bbox\": [216, 433, 225, 443]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 433, 316, 443]}, {\"cell\": \"0.57–3.02\", \"bbox\": [375, 433, 407, 443]}, {\"cell\": \"0.528\", \"bbox\": [462, 433, 481, 443]}, {\"cell\": \" Not preferred much\", \"bbox\": [5, 446, 71, 455]}, {\"cell\": \"5\", \"bbox\": [125, 446, 131, 455]}, {\"cell\": \"5\", \"bbox\": [219, 446, 225, 455]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 446, 316, 455]}, {\"cell\": \"0.20–2.62\", \"bbox\": [375, 446, 407, 455]}, {\"cell\": \"0.745\", \"bbox\": [462, 446, 481, 455]}, {\"cell\": \"Products made from bean\", \"bbox\": [1, 458, 86, 467]}, {\"cell\": \" Average\", \"bbox\": [5, 470, 33, 479]}, {\"cell\": \"39\", \"bbox\": [121, 470, 131, 479]}, {\"cell\": \"67\", \"bbox\": [216, 470, 225, 479]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 470, 316, 479]}, {\"cell\": \"Reference\", \"bbox\": [375, 470, 408, 479]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Much preferred\", \"bbox\": [5, 482, 57, 491]}, {\"cell\": \"53\", \"bbox\": [121, 482, 131, 491]}, {\"cell\": \"39\", \"bbox\": [216, 482, 225, 491]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 482, 316, 491]}, {\"cell\": \"0.24–0.76\", \"bbox\": [375, 482, 407, 491]}, {\"cell\": \"0.003*\", \"bbox\": [462, 482, 484, 490]}, {\"cell\": \" Preferred\", \"bbox\": [5, 494, 36, 503]}, {\"cell\": \"103\", \"bbox\": [117, 494, 131, 503]}, {\"cell\": \"87\", \"bbox\": [215, 494, 225, 503]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [300, 494, 316, 503]}, {\"cell\": \"0.30–0.80\", \"bbox\": [374, 494, 407, 503]}, {\"cell\": \"0.004*\", \"bbox\": [462, 494, 484, 502]}, {\"cell\": \" Not preferred\", \"bbox\": [5, 506, 50, 515]}, {\"cell\": \"5\", \"bbox\": [125, 506, 131, 515]}, {\"cell\": \"8\", \"bbox\": [219, 506, 225, 515]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 506, 316, 515]}, {\"cell\": \"0.29–3.05\", \"bbox\": [375, 506, 407, 515]}, {\"cell\": \"1.000\", \"bbox\": [462, 506, 481, 515]}, {\"cell\": \" Not preferred much\", \"bbox\": [5, 518, 71, 528]}, {\"cell\": \"2\", \"bbox\": [125, 518, 131, 528]}, {\"cell\": \"1\", \"bbox\": [219, 518, 225, 528]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 518, 316, 528]}, {\"cell\": \"0.026–3.32\", \"bbox\": [375, 518, 411, 528]}, {\"cell\": \"0.555\", \"bbox\": [462, 518, 481, 528]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5492296_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Patient No.Age rangeComorbiditySAB grade (WFNS)Aneurysm locationSideProbe placementSEP monitoringPathological SEP?Vasospasm/related neurological deficite?mRS at dischargemRS at 12 months
13AHVAcoALtemporalPosterior tibial nerveyesno5[EMPTY_CELL]
22AHIIACARtemporaln.a.n.a.yes/no1[EMPTY_CELL]
32AHIIIAcoALfrontalPosterior tibial nerveyesyes/no2[EMPTY_CELL]
41noneIIACARtemporalPosterior tibial nervenoyes/no0[EMPTY_CELL]
53noneIVAcoARfrontalPosterior tibial nerveyesno2[EMPTY_CELL]
62AHIIMCARtemporalMedian nervenono2[EMPTY_CELL]
71noneIVMCALtemporalMedian nerveyesno3[EMPTY_CELL]
83AHIIAcoALtemporalPosterior tibial nervenono1[EMPTY_CELL]
93AHVAcoALfrontalPosterior tibial nerveyesyes/yes6[EMPTY_CELL]
102AHIIIMCARtemporalMedian nerveyesyes/no4[EMPTY_CELL]
113AHIVMCARtemporalMedian nervenoyes/no1[EMPTY_CELL]
124AH, CAD, HIVMCALtemporaln.a.n.a.no6[EMPTY_CELL]
132AHIIMCARfrontalMedian nerveyesyes/no1[EMPTY_CELL]
141AHIIIMCALtemporalMedian nerveyesyes/yes3[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Patient No.\", \"bbox\": [1, 4, 25, 22]}, {\"cell\": \"Age range\", \"bbox\": [29, 4, 50, 22]}, {\"cell\": \"Comorbidity\", \"bbox\": [54, 4, 96, 13]}, {\"cell\": \"SAB grade (WFNS)\", \"bbox\": [101, 4, 136, 22]}, {\"cell\": \"Aneurysm location\", \"bbox\": [140, 4, 174, 22]}, {\"cell\": \"Side\", \"bbox\": [179, 4, 194, 13]}, {\"cell\": \"Probe placement\", \"bbox\": [199, 4, 235, 22]}, {\"cell\": \"SEP monitoring\", \"bbox\": [240, 4, 277, 22]}, {\"cell\": \"Pathological SEP?\", \"bbox\": [290, 4, 331, 22]}, {\"cell\": \"Vasospasm/related neurological deficite?\", \"bbox\": [336, 4, 406, 22]}, {\"cell\": \"mRS at discharge\", \"bbox\": [411, 4, 443, 22]}, {\"cell\": \"mRS at 12 months\", \"bbox\": [448, 4, 484, 22]}, {\"cell\": \"1\", \"bbox\": [0, 26, 6, 36]}, {\"cell\": \"3\", \"bbox\": [29, 26, 35, 36]}, {\"cell\": \"AH\", \"bbox\": [54, 26, 66, 36]}, {\"cell\": \"V\", \"bbox\": [101, 26, 107, 36]}, {\"cell\": \"AcoA\", \"bbox\": [140, 26, 159, 36]}, {\"cell\": \"L\", \"bbox\": [179, 26, 184, 36]}, {\"cell\": \"temporal\", \"bbox\": [199, 26, 230, 36]}, {\"cell\": \"Posterior tibial nerve\", \"bbox\": [240, 26, 277, 45]}, {\"cell\": \"yes\", \"bbox\": [290, 26, 302, 36]}, {\"cell\": \"no\", \"bbox\": [336, 26, 346, 36]}, {\"cell\": \"5\", \"bbox\": [411, 26, 416, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 26, 454, 36]}, {\"cell\": \"2\", \"bbox\": [0, 49, 6, 59]}, {\"cell\": \"2\", \"bbox\": [29, 49, 35, 59]}, {\"cell\": \"AH\", \"bbox\": [54, 49, 66, 59]}, {\"cell\": \"II\", \"bbox\": [101, 49, 106, 59]}, {\"cell\": \"ACA\", \"bbox\": [140, 49, 156, 59]}, {\"cell\": \"R\", \"bbox\": [179, 49, 185, 59]}, {\"cell\": \"temporal\", \"bbox\": [199, 49, 230, 59]}, {\"cell\": \"n.a.\", \"bbox\": [240, 49, 252, 59]}, {\"cell\": \"n.a.\", \"bbox\": [290, 49, 303, 59]}, {\"cell\": \"yes/no\", \"bbox\": [336, 49, 359, 59]}, {\"cell\": \"1\", \"bbox\": [411, 49, 416, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 49, 454, 59]}, {\"cell\": \"3\", \"bbox\": [0, 63, 6, 73]}, {\"cell\": \"2\", \"bbox\": [29, 63, 35, 73]}, {\"cell\": \"AH\", \"bbox\": [54, 63, 66, 73]}, {\"cell\": \"III\", \"bbox\": [101, 63, 107, 73]}, {\"cell\": \"AcoA\", \"bbox\": [140, 63, 159, 73]}, {\"cell\": \"L\", \"bbox\": [179, 63, 184, 73]}, {\"cell\": \"frontal\", \"bbox\": [199, 63, 222, 73]}, {\"cell\": \"Posterior tibial nerve\", \"bbox\": [240, 63, 277, 82]}, {\"cell\": \"yes\", \"bbox\": [290, 63, 302, 73]}, {\"cell\": \"yes/no\", \"bbox\": [336, 63, 359, 73]}, {\"cell\": \"2\", \"bbox\": [411, 63, 416, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 63, 454, 73]}, {\"cell\": \"4\", \"bbox\": [0, 86, 6, 96]}, {\"cell\": \"1\", \"bbox\": [29, 86, 35, 96]}, {\"cell\": \"none\", \"bbox\": [54, 86, 73, 96]}, {\"cell\": \"II\", \"bbox\": [101, 86, 106, 96]}, {\"cell\": \"ACA\", \"bbox\": [140, 86, 156, 96]}, {\"cell\": \"R\", \"bbox\": [179, 86, 185, 96]}, {\"cell\": \"temporal\", \"bbox\": [199, 86, 230, 96]}, {\"cell\": \"Posterior tibial nerve\", \"bbox\": [240, 86, 277, 105]}, {\"cell\": \"no\", \"bbox\": [290, 86, 301, 96]}, {\"cell\": \"yes/no\", \"bbox\": [336, 86, 359, 96]}, {\"cell\": \"0\", \"bbox\": [411, 86, 416, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 86, 454, 96]}, {\"cell\": \"5\", \"bbox\": [0, 109, 6, 119]}, {\"cell\": \"3\", \"bbox\": [29, 109, 35, 119]}, {\"cell\": \"none\", \"bbox\": [54, 109, 73, 119]}, {\"cell\": \"IV\", \"bbox\": [101, 109, 108, 119]}, {\"cell\": \"AcoA\", \"bbox\": [140, 109, 159, 119]}, {\"cell\": \"R\", \"bbox\": [179, 109, 185, 119]}, {\"cell\": \"frontal\", \"bbox\": [199, 109, 222, 119]}, {\"cell\": \"Posterior tibial nerve\", \"bbox\": [240, 109, 277, 128]}, {\"cell\": \"yes\", \"bbox\": [290, 109, 302, 119]}, {\"cell\": \"no\", \"bbox\": [336, 109, 346, 119]}, {\"cell\": \"2\", \"bbox\": [411, 109, 416, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 109, 454, 119]}, {\"cell\": \"6\", \"bbox\": [0, 132, 6, 142]}, {\"cell\": \"2\", \"bbox\": [29, 132, 35, 142]}, {\"cell\": \"AH\", \"bbox\": [54, 132, 66, 142]}, {\"cell\": \"II\", \"bbox\": [101, 132, 106, 142]}, {\"cell\": \"MCA\", \"bbox\": [140, 132, 158, 142]}, {\"cell\": \"R\", \"bbox\": [179, 132, 185, 142]}, {\"cell\": \"temporal\", \"bbox\": [199, 132, 230, 142]}, {\"cell\": \"Median nerve\", \"bbox\": [240, 132, 286, 142]}, {\"cell\": \"no\", \"bbox\": [290, 132, 301, 142]}, {\"cell\": \"no\", \"bbox\": [336, 132, 346, 142]}, {\"cell\": \"2\", \"bbox\": [411, 132, 416, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 132, 454, 142]}, {\"cell\": \"7\", \"bbox\": [0, 146, 6, 156]}, {\"cell\": \"1\", \"bbox\": [29, 146, 35, 156]}, {\"cell\": \"none\", \"bbox\": [54, 146, 73, 156]}, {\"cell\": \"IV\", \"bbox\": [101, 146, 108, 156]}, {\"cell\": \"MCA\", \"bbox\": [140, 146, 158, 156]}, {\"cell\": \"L\", \"bbox\": [179, 146, 184, 156]}, {\"cell\": \"temporal\", \"bbox\": [199, 146, 230, 156]}, {\"cell\": \"Median nerve\", \"bbox\": [240, 146, 286, 156]}, {\"cell\": \"yes\", \"bbox\": [290, 146, 302, 156]}, {\"cell\": \"no\", \"bbox\": [336, 146, 346, 156]}, {\"cell\": \"3\", \"bbox\": [411, 146, 416, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 146, 454, 156]}, {\"cell\": \"8\", \"bbox\": [0, 160, 6, 170]}, {\"cell\": \"3\", \"bbox\": [29, 160, 35, 170]}, {\"cell\": \"AH\", \"bbox\": [54, 160, 66, 170]}, {\"cell\": \"II\", \"bbox\": [101, 160, 106, 170]}, {\"cell\": \"AcoA\", \"bbox\": [140, 160, 159, 170]}, {\"cell\": \"L\", \"bbox\": [179, 160, 184, 170]}, {\"cell\": \"temporal\", \"bbox\": [199, 160, 230, 170]}, {\"cell\": \"Posterior tibial nerve\", \"bbox\": [240, 160, 277, 179]}, {\"cell\": \"no\", \"bbox\": [290, 160, 301, 170]}, {\"cell\": \"no\", \"bbox\": [336, 160, 346, 170]}, {\"cell\": \"1\", \"bbox\": [411, 160, 416, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 160, 454, 170]}, {\"cell\": \"9\", \"bbox\": [0, 183, 6, 193]}, {\"cell\": \"3\", \"bbox\": [29, 183, 35, 193]}, {\"cell\": \"AH\", \"bbox\": [54, 183, 66, 193]}, {\"cell\": \"V\", \"bbox\": [101, 183, 107, 193]}, {\"cell\": \"AcoA\", \"bbox\": [140, 183, 159, 193]}, {\"cell\": \"L\", \"bbox\": [179, 183, 184, 193]}, {\"cell\": \"frontal\", \"bbox\": [199, 183, 222, 193]}, {\"cell\": \"Posterior tibial nerve\", \"bbox\": [240, 183, 277, 202]}, {\"cell\": \"yes\", \"bbox\": [290, 183, 302, 193]}, {\"cell\": \"yes/yes\", \"bbox\": [336, 183, 361, 193]}, {\"cell\": \"6\", \"bbox\": [410, 183, 416, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 183, 454, 193]}, {\"cell\": \"10\", \"bbox\": [0, 206, 10, 216]}, {\"cell\": \"2\", \"bbox\": [29, 206, 35, 216]}, {\"cell\": \"AH\", \"bbox\": [54, 206, 66, 216]}, {\"cell\": \"III\", \"bbox\": [101, 206, 107, 216]}, {\"cell\": \"MCA\", \"bbox\": [140, 206, 158, 216]}, {\"cell\": \"R\", \"bbox\": [179, 206, 185, 216]}, {\"cell\": \"temporal\", \"bbox\": [199, 206, 230, 216]}, {\"cell\": \"Median nerve\", \"bbox\": [240, 206, 286, 216]}, {\"cell\": \"yes\", \"bbox\": [290, 206, 302, 216]}, {\"cell\": \"yes/no\", \"bbox\": [336, 206, 359, 216]}, {\"cell\": \"4\", \"bbox\": [411, 206, 416, 216]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 206, 454, 216]}, {\"cell\": \"11\", \"bbox\": [0, 220, 10, 230]}, {\"cell\": \"3\", \"bbox\": [29, 220, 35, 230]}, {\"cell\": \"AH\", \"bbox\": [54, 220, 66, 230]}, {\"cell\": \"IV\", \"bbox\": [101, 220, 108, 230]}, {\"cell\": \"MCA\", \"bbox\": [140, 220, 158, 230]}, {\"cell\": \"R\", \"bbox\": [179, 220, 185, 230]}, {\"cell\": \"temporal\", \"bbox\": [199, 220, 230, 230]}, {\"cell\": \"Median nerve\", \"bbox\": [240, 220, 286, 230]}, {\"cell\": \"no\", \"bbox\": [290, 220, 301, 230]}, {\"cell\": \"yes/no\", \"bbox\": [336, 220, 359, 230]}, {\"cell\": \"1\", \"bbox\": [411, 220, 416, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 220, 454, 230]}, {\"cell\": \"12\", \"bbox\": [0, 234, 10, 244]}, {\"cell\": \"4\", \"bbox\": [29, 234, 35, 244]}, {\"cell\": \"AH, CAD, HI\", \"bbox\": [54, 234, 94, 244]}, {\"cell\": \"V\", \"bbox\": [101, 234, 107, 244]}, {\"cell\": \"MCA\", \"bbox\": [140, 234, 158, 244]}, {\"cell\": \"L\", \"bbox\": [179, 234, 184, 244]}, {\"cell\": \"temporal\", \"bbox\": [199, 234, 230, 244]}, {\"cell\": \"n.a.\", \"bbox\": [240, 234, 252, 244]}, {\"cell\": \"n.a.\", \"bbox\": [290, 234, 303, 244]}, {\"cell\": \"no\", \"bbox\": [336, 234, 346, 244]}, {\"cell\": \"6\", \"bbox\": [411, 234, 416, 244]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 234, 454, 244]}, {\"cell\": \"13\", \"bbox\": [0, 248, 10, 258]}, {\"cell\": \"2\", \"bbox\": [29, 248, 35, 258]}, {\"cell\": \"AH\", \"bbox\": [54, 248, 66, 258]}, {\"cell\": \"II\", \"bbox\": [101, 248, 106, 258]}, {\"cell\": \"MCA\", \"bbox\": [140, 248, 158, 258]}, {\"cell\": \"R\", \"bbox\": [179, 248, 185, 258]}, {\"cell\": \"frontal\", \"bbox\": [199, 248, 222, 258]}, {\"cell\": \"Median nerve\", \"bbox\": [240, 248, 286, 258]}, {\"cell\": \"yes\", \"bbox\": [290, 248, 302, 258]}, {\"cell\": \"yes/no\", \"bbox\": [336, 248, 359, 258]}, {\"cell\": \"1\", \"bbox\": [411, 248, 416, 258]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 248, 454, 258]}, {\"cell\": \"14\", \"bbox\": [0, 262, 10, 272]}, {\"cell\": \"1\", \"bbox\": [29, 262, 35, 272]}, {\"cell\": \"AH\", \"bbox\": [54, 262, 66, 272]}, {\"cell\": \"III\", \"bbox\": [101, 262, 107, 272]}, {\"cell\": \"MCA\", \"bbox\": [140, 262, 158, 272]}, {\"cell\": \"L\", \"bbox\": [179, 262, 184, 272]}, {\"cell\": \"temporal\", \"bbox\": [199, 262, 230, 272]}, {\"cell\": \"Median nerve\", \"bbox\": [240, 262, 286, 272]}, {\"cell\": \"yes\", \"bbox\": [290, 262, 302, 272]}, {\"cell\": \"yes/yes\", \"bbox\": [336, 262, 361, 272]}, {\"cell\": \"3\", \"bbox\": [411, 262, 416, 272]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 262, 454, 272]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5645977_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Screening tool items“Yes” answers among true positive screens (n=10)“Yes” answers among false positive screens (n=29)
Do you have to ask permission to eat, sleep, use the bathroom, or go to the doctor?[EMPTY_CELL]2 (7%)
Were you (or anyone you work with) ever beaten, hit, yelled at, raped, threatened or made to feel physical pain for working slowly or for trying to leave?[EMPTY_CELL]18 (62%)
Has anyone threatened your family?[EMPTY_CELL]13 (45%)
Is anyone forcing you to do anything that you do not want to do?[EMPTY_CELL]1 (3%)
Do you owe your employer money?[EMPTY_CELL]1 (3%)
Does anyone force you to have sexual intercourse for your work?[EMPTY_CELL]1 (3%)
Is someone else in control of your money?[EMPTY_CELL]3 (10%)
Are you forced to work in your current job?[EMPTY_CELL]0 (0%)
Does someone else control whether you can leave your house or not?[EMPTY_CELL]1 (3%)
Are you kept from contacting your friends and/or family whenever you would like?[EMPTY_CELL]6 (21%)
Is someone else in control of your identification documents, passports, birth certificate, and other personal papers?[EMPTY_CELL]3 (10%)
Was someone else in control of arrangements for your travel to this country and your identification documents?[EMPTY_CELL]0 (0%)
Do you owe money to someone for travel to this country?[EMPTY_CELL]1 (3%)
Has anyone threatened you with deportation?[EMPTY_CELL]1 (3%)
\", \"cells\": [{\"cell\": \"Screening tool items\", \"bbox\": [117, 15, 201, 26]}, {\"cell\": \"“Yes” answers among true positive screens (n=10)\", \"bbox\": [321, 5, 424, 26]}, {\"cell\": \"“Yes” answers among false positive screens (n=29)\", \"bbox\": [432, 5, 538, 26]}, {\"cell\": \"Do you have to ask permission to eat, sleep, use the bathroom, or go to the doctor?\", \"bbox\": [5, 27, 304, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 38, 394, 52]}, {\"cell\": \"2 (7%)\", \"bbox\": [474, 38, 503, 52]}, {\"cell\": \"Were you (or anyone you work with) ever beaten, hit, yelled at, raped, threatened or made to feel physical pain for working slowly or for trying to leave?\", \"bbox\": [5, 53, 312, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [350, 64, 394, 77]}, {\"cell\": \"18 (62%)\", \"bbox\": [464, 64, 503, 77]}, {\"cell\": \"Has anyone threatened your family?\", \"bbox\": [5, 81, 151, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 78, 394, 92]}, {\"cell\": \"13 (45%)\", \"bbox\": [464, 78, 503, 92]}, {\"cell\": \"Is anyone forcing you to do anything that you do not want to do?\", \"bbox\": [5, 95, 262, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 93, 394, 107]}, {\"cell\": \"1 (3%)\", \"bbox\": [474, 93, 503, 107]}, {\"cell\": \"Do you owe your employer money?\", \"bbox\": [5, 110, 148, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 107, 394, 121]}, {\"cell\": \"1 (3%)\", \"bbox\": [474, 107, 503, 121]}, {\"cell\": \"Does anyone force you to have sexual intercourse for your work?\", \"bbox\": [5, 122, 266, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 122, 394, 136]}, {\"cell\": \"1 (3%)\", \"bbox\": [474, 122, 503, 136]}, {\"cell\": \"Is someone else in control of your money?\", \"bbox\": [5, 139, 176, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 136, 394, 150]}, {\"cell\": \"3 (10%)\", \"bbox\": [469, 136, 503, 150]}, {\"cell\": \"Are you forced to work in your current job?\", \"bbox\": [5, 151, 176, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 151, 394, 165]}, {\"cell\": \"0 (0%)\", \"bbox\": [474, 151, 503, 165]}, {\"cell\": \"Does someone else control whether you can leave your house or not?\", \"bbox\": [5, 168, 286, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 165, 394, 179]}, {\"cell\": \"1 (3%)\", \"bbox\": [474, 165, 503, 179]}, {\"cell\": \"Are you kept from contacting your friends and/or family whenever you would like?\", \"bbox\": [5, 180, 295, 205]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 191, 394, 205]}, {\"cell\": \"6 (21%)\", \"bbox\": [469, 191, 503, 205]}, {\"cell\": \"Is someone else in control of your identification documents, passports, birth certificate, and other personal papers?\", \"bbox\": [5, 205, 307, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 216, 394, 230]}, {\"cell\": \"3 (10%)\", \"bbox\": [469, 216, 503, 230]}, {\"cell\": \"Was someone else in control of arrangements for your travel to this country and your identification documents?\", \"bbox\": [5, 231, 306, 255]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 241, 394, 255]}, {\"cell\": \"0 (0%)\", \"bbox\": [474, 241, 503, 255]}, {\"cell\": \"Do you owe money to someone for travel to this country?\", \"bbox\": [5, 258, 234, 269]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [365, 256, 394, 270]}, {\"cell\": \"1 (3%)\", \"bbox\": [474, 256, 503, 270]}, {\"cell\": \"Has anyone threatened you with deportation?\", \"bbox\": [5, 273, 188, 283]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [365, 271, 394, 284]}, {\"cell\": \"1 (3%)\", \"bbox\": [474, 271, 503, 284]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5468066_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Bacterial exposureResult categoryResultReference
Farm effectBacterial exposure[EMPTY_CELL]Protection against Allergy-STUdy in Rural Environments study (6)
Increased bacterial prevalence in mattress dustPrevention of Allergy Risk factors for Sensitization In children related to Farming and Anthroposophic Lifestyle (7, 9); Genetic and Environmental Causes of Asthma in the European Community Advanced Study (8, 10)
Fetal immune programmingAlterations in cord blood cytokines[EMPTY_CELL]
Increased regulatory T lymphocytes (Tregs)(15)
AsthmaDecreased childhood asthma[EMPTY_CELL]
Decreased offspring asthma(17)
Prebiotic short-chain galactooligosaccharides/long-chain fructooligosaccharidesFecal microbiome[EMPTY_CELL](26)
Immune function in other autoimmune conditionsIncreased T-helper 1 interferon-gamma productionTreg induction[EMPTY_CELL]
(22, 24)
AsthmaMaternal supplementation associated with improved offspring lung function in mice[EMPTY_CELL]
Supplementation in infants from birth associated with decreased childhood wheeze(28)
ProbioticsFecal colonization[EMPTY_CELL](29, 30)
No maternal transfer of colonization(31) (meta-analysis)
Immune functionAlterations in breast milk cytokines[EMPTY_CELL]
AsthmaNo associations found maternal supplementation with offspring asthma[EMPTY_CELL]
AntibioticsFecal microbiome[EMPTY_CELL](48–50)
AsthmaChildhood use associated with increased childhood asthma[EMPTY_CELL]
Maternal use during pregnancy associated with increased offspring asthma(53, 56)
\", \"cells\": [{\"cell\": \"Bacterial exposure\", \"bbox\": [0, 6, 65, 15]}, {\"cell\": \"Result category\", \"bbox\": [87, 6, 141, 15]}, {\"cell\": \"Result\", \"bbox\": [155, 6, 178, 15]}, {\"cell\": \"Reference\", \"bbox\": [391, 6, 428, 15]}, {\"cell\": \"Farm effect\", \"bbox\": [1, 23, 36, 32]}, {\"cell\": \"Bacterial exposure\", \"bbox\": [87, 23, 144, 32]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 23, 275, 32]}, {\"cell\": \"Protection against Allergy-STUdy in Rural Environments study (6)\", \"bbox\": [392, 23, 500, 41]}, {\"cell\": \"Increased bacterial prevalence in mattress dust\", \"bbox\": [155, 44, 298, 53]}, {\"cell\": \"Prevention of Allergy Risk factors for Sensitization In children related to Farming and Anthroposophic Lifestyle (7, 9); Genetic and Environmental Causes of Asthma in the European Community Advanced Study (8, 10)\", \"bbox\": [392, 44, 507, 100]}, {\"cell\": \"Fetal immune programming\", \"bbox\": [87, 103, 129, 121]}, {\"cell\": \"Alterations in cord blood cytokines\", \"bbox\": [155, 103, 261, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 103, 405, 112]}, {\"cell\": \"Increased regulatory T lymphocytes (Tregs)\", \"bbox\": [155, 115, 285, 123]}, {\"cell\": \"(15)\", \"bbox\": [392, 115, 405, 123]}, {\"cell\": \"Asthma\", \"bbox\": [87, 126, 112, 135]}, {\"cell\": \"Decreased childhood asthma\", \"bbox\": [155, 126, 245, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 126, 452, 135]}, {\"cell\": \"Decreased offspring asthma\", \"bbox\": [155, 138, 242, 146]}, {\"cell\": \"(17)\", \"bbox\": [392, 138, 405, 146]}, {\"cell\": \"Prebiotic short-chain galactooligosaccharides/long-chain fructooligosaccharides\", \"bbox\": [1, 153, 77, 190]}, {\"cell\": \"Fecal microbiome\", \"bbox\": [87, 153, 142, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 153, 357, 162]}, {\"cell\": \"(26)\", \"bbox\": [392, 153, 405, 162]}, {\"cell\": \"Immune function in other autoimmune conditions\", \"bbox\": [87, 165, 146, 192]}, {\"cell\": \"Increased T-helper 1 interferon-gamma productionTreg induction\", \"bbox\": [155, 165, 308, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 165, 416, 173]}, {\"cell\": \"(22, 24)\", \"bbox\": [392, 176, 416, 185]}, {\"cell\": \"Asthma\", \"bbox\": [87, 195, 112, 204]}, {\"cell\": \"Maternal supplementation associated with improved offspring lung function in mice\", \"bbox\": [155, 195, 382, 213]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 195, 405, 204]}, {\"cell\": \"Supplementation in infants from birth associated with decreased childhood wheeze\", \"bbox\": [155, 216, 381, 234]}, {\"cell\": \"(28)\", \"bbox\": [392, 216, 405, 225]}, {\"cell\": \"Probiotics\", \"bbox\": [1, 242, 33, 250]}, {\"cell\": \"Fecal colonization\", \"bbox\": [87, 242, 142, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 242, 289, 250]}, {\"cell\": \"(29, 30)\", \"bbox\": [392, 242, 416, 250]}, {\"cell\": \"No maternal transfer of colonization\", \"bbox\": [155, 253, 264, 262]}, {\"cell\": \"(31) (meta-analysis)\", \"bbox\": [392, 253, 451, 262]}, {\"cell\": \"Immune function\", \"bbox\": [87, 269, 139, 277]}, {\"cell\": \"Alterations in breast milk cytokines\", \"bbox\": [155, 269, 261, 277]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 269, 416, 277]}, {\"cell\": \"Asthma\", \"bbox\": [87, 284, 112, 293]}, {\"cell\": \"No associations found maternal supplementation with offspring asthma\", \"bbox\": [155, 284, 371, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 284, 451, 293]}, {\"cell\": \"Antibiotics\", \"bbox\": [1, 300, 34, 308]}, {\"cell\": \"Fecal microbiome\", \"bbox\": [87, 300, 142, 308]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 300, 251, 308]}, {\"cell\": \"(48–50)\", \"bbox\": [392, 300, 416, 308]}, {\"cell\": \"Asthma\", \"bbox\": [87, 311, 112, 320]}, {\"cell\": \"Childhood use associated with increased childhood asthma\", \"bbox\": [155, 311, 336, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 311, 416, 320]}, {\"cell\": \"Maternal use during pregnancy associated with increased offspring asthma\", \"bbox\": [155, 323, 382, 331]}, {\"cell\": \"(53, 56)\", \"bbox\": [392, 323, 416, 331]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5374203_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Gene descriptionFold changeGene descriptionFold change
[EMPTY_CELL]18.61fibrinogen α6.65
[EMPTY_CELL]4.77forkhead transcription factor FOXO1A5.22
[EMPTY_CELL]0.41immediate early response 5 (IER-5)7.72
[EMPTY_CELL]22.04karyopherin alpha (importin 5)0.54
[EMPTY_CELL]9.47mt translational release factor 1 (MTRF 1)9,68
[EMPTY_CELL]22.03myocyte enhancer factor 2 (MEF2)13.77
[EMPTY_CELL]15.4myosin regulatory light chain (MYLC)5.63
[EMPTY_CELL]16.72myosin heavy chain 7 (MYH7)4.54
[EMPTY_CELL]6.54NK transcript (IL-32)6.1
[EMPTY_CELL]3.46synaptopodin (SYNPO)1.79
[EMPTY_CELL]2.3titin4.19
[EMPTY_CELL]5.28vimentin2.39
[EMPTY_CELL]61.14vinculin2.68
\", \"cells\": [{\"cell\": \"Gene description\", \"bbox\": [1, 4, 62, 13]}, {\"cell\": \"Fold change\", \"bbox\": [180, 4, 224, 13]}, {\"cell\": \"Gene description\", \"bbox\": [302, 4, 363, 13]}, {\"cell\": \"Fold change\", \"bbox\": [440, 4, 484, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 71, 27]}, {\"cell\": \"18.61\", \"bbox\": [180, 17, 198, 27]}, {\"cell\": \"fibrinogen α\", \"bbox\": [266, 17, 307, 27]}, {\"cell\": \"6.65\", \"bbox\": [440, 17, 455, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 31, 58, 41]}, {\"cell\": \"4.77\", \"bbox\": [184, 31, 198, 41]}, {\"cell\": \"forkhead transcription factor FOXO1A\", \"bbox\": [266, 31, 388, 41]}, {\"cell\": \"5.22\", \"bbox\": [440, 31, 455, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 45, 25, 55]}, {\"cell\": \"0.41\", \"bbox\": [184, 45, 198, 55]}, {\"cell\": \"immediate early response 5 (IER-5)\", \"bbox\": [266, 45, 378, 55]}, {\"cell\": \"7.72\", \"bbox\": [440, 45, 455, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 59, 31, 69]}, {\"cell\": \"22.04\", \"bbox\": [180, 59, 198, 69]}, {\"cell\": \"karyopherin alpha (importin 5)\", \"bbox\": [266, 59, 365, 69]}, {\"cell\": \"0.54\", \"bbox\": [440, 59, 455, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 73, 106, 83]}, {\"cell\": \"9.47\", \"bbox\": [184, 73, 198, 83]}, {\"cell\": \"mt translational release factor 1 (MTRF 1)\", \"bbox\": [266, 73, 399, 83]}, {\"cell\": \"9,68\", \"bbox\": [440, 73, 455, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 87, 50, 97]}, {\"cell\": \"22.03\", \"bbox\": [180, 87, 198, 97]}, {\"cell\": \"myocyte enhancer factor 2 (MEF2)\", \"bbox\": [266, 87, 378, 97]}, {\"cell\": \"13.77\", \"bbox\": [440, 87, 458, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 101, 121, 111]}, {\"cell\": \"15.4\", \"bbox\": [180, 101, 195, 111]}, {\"cell\": \"myosin regulatory light chain (MYLC)\", \"bbox\": [266, 101, 386, 111]}, {\"cell\": \"5.63\", \"bbox\": [440, 101, 455, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 115, 28, 125]}, {\"cell\": \"16.72\", \"bbox\": [180, 115, 198, 125]}, {\"cell\": \"myosin heavy chain 7 (MYH7)\", \"bbox\": [266, 115, 363, 125]}, {\"cell\": \"4.54\", \"bbox\": [440, 115, 455, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 129, 139, 139]}, {\"cell\": \"6.54\", \"bbox\": [184, 129, 198, 139]}, {\"cell\": \"NK transcript (IL-32)\", \"bbox\": [266, 129, 330, 139]}, {\"cell\": \"6.1\", \"bbox\": [440, 129, 451, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 143, 103, 153]}, {\"cell\": \"3.46\", \"bbox\": [184, 143, 198, 153]}, {\"cell\": \"synaptopodin (SYNPO)\", \"bbox\": [266, 143, 340, 153]}, {\"cell\": \"1.79\", \"bbox\": [440, 143, 455, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 157, 103, 167]}, {\"cell\": \"2.3\", \"bbox\": [184, 157, 195, 167]}, {\"cell\": \"titin\", \"bbox\": [266, 157, 280, 167]}, {\"cell\": \"4.19\", \"bbox\": [440, 157, 455, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 171, 102, 181]}, {\"cell\": \"5.28\", \"bbox\": [184, 171, 198, 181]}, {\"cell\": \"vimentin\", \"bbox\": [266, 171, 296, 181]}, {\"cell\": \"2.39\", \"bbox\": [440, 171, 455, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 185, 103, 195]}, {\"cell\": \"61.14\", \"bbox\": [180, 185, 198, 195]}, {\"cell\": \"vinculin\", \"bbox\": [266, 185, 292, 195]}, {\"cell\": \"2.68\", \"bbox\": [440, 185, 455, 195]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3465185_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]The need of careDifference (A-B)
Occurred (A)Not occurred (B)
Parents (n = 15,972)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Caregiving30.7%[EMPTY_CELL]30.7%***
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]SD (0.4%)[EMPTY_CELL]
Coresidence13.7%[EMPTY_CELL]−1.8%*
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]SD (0.8%)[EMPTY_CELL]
Work55.1%[EMPTY_CELL]−5.4%***
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]SD (1.0%)[EMPTY_CELL]
K6 score (range: 0–24)M 3.79[EMPTY_CELL]0.59***
[EMPTY_CELL]SD (0.08)[EMPTY_CELL](0.00)[EMPTY_CELL]
K6 score ≥ 533.3%[EMPTY_CELL]4.9%***
Number of observations2648[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Parents-in-law (n = 10,887)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Caregiving29.7%[EMPTY_CELL]29.7%***
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]SD (0.5%)[EMPTY_CELL]
Coresidence33.1%[EMPTY_CELL]−7.2%***
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]SD (1.2%)[EMPTY_CELL]
Work55.7%[EMPTY_CELL]−6.3%***
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]SD (1.2%)[EMPTY_CELL]
K6 score (range: 0–24)M 3.90[EMPTY_CELL]0.70***
[EMPTY_CELL]SD (0.10)[EMPTY_CELL](0.10)[EMPTY_CELL]
K6 score ≥ 534.4%[EMPTY_CELL]5.1%***
Number of observations2086[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"The need of care\", \"bbox\": [151, 4, 207, 13]}, {\"cell\": \"Difference (A-B)\", \"bbox\": [377, 4, 429, 13]}, {\"cell\": \"Occurred (A)\", \"bbox\": [151, 17, 193, 26]}, {\"cell\": \"Not occurred (B)\", \"bbox\": [258, 17, 312, 26]}, {\"cell\": \"Parents (n = 15,972)\", \"bbox\": [1, 30, 65, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Caregiving\", \"bbox\": [1, 44, 37, 54]}, {\"cell\": \"30.7%\", \"bbox\": [151, 44, 171, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 44, 263, 54]}, {\"cell\": \"30.7%\", \"bbox\": [377, 44, 398, 54]}, {\"cell\": \"***\", \"bbox\": [473, 44, 484, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"SD (0.4%)\", \"bbox\": [377, 58, 409, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Coresidence\", \"bbox\": [1, 72, 42, 82]}, {\"cell\": \"13.7%\", \"bbox\": [151, 72, 171, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 72, 278, 82]}, {\"cell\": \"−1.8%\", \"bbox\": [377, 72, 398, 82]}, {\"cell\": \"*\", \"bbox\": [473, 72, 478, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"SD (0.8%)\", \"bbox\": [377, 86, 409, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Work\", \"bbox\": [1, 100, 19, 110]}, {\"cell\": \"55.1%\", \"bbox\": [151, 100, 171, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 100, 278, 110]}, {\"cell\": \"−5.4%\", \"bbox\": [377, 100, 398, 110]}, {\"cell\": \"***\", \"bbox\": [473, 100, 484, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"SD (1.0%)\", \"bbox\": [377, 114, 409, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"K6 score (range: 0–24)\", \"bbox\": [1, 128, 73, 138]}, {\"cell\": \"M 3.79\", \"bbox\": [151, 128, 174, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 128, 272, 138]}, {\"cell\": \"0.59\", \"bbox\": [377, 128, 392, 138]}, {\"cell\": \"***\", \"bbox\": [473, 128, 484, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"SD (0.08)\", \"bbox\": [151, 142, 181, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 142, 277, 152]}, {\"cell\": \"(0.00)\", \"bbox\": [377, 142, 396, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"K6 score ≥ 5\", \"bbox\": [1, 156, 42, 166]}, {\"cell\": \"33.3%\", \"bbox\": [151, 156, 171, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 156, 278, 166]}, {\"cell\": \"4.9%\", \"bbox\": [377, 156, 394, 166]}, {\"cell\": \"***\", \"bbox\": [473, 156, 484, 166]}, {\"cell\": \"Number of observations\", \"bbox\": [1, 170, 80, 180]}, {\"cell\": \"2648\", \"bbox\": [151, 170, 168, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 170, 280, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Parents-in-law (n = 10,887)\", \"bbox\": [1, 184, 86, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Caregiving\", \"bbox\": [1, 198, 37, 208]}, {\"cell\": \"29.7%\", \"bbox\": [151, 198, 171, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 198, 263, 208]}, {\"cell\": \"29.7%\", \"bbox\": [377, 198, 398, 208]}, {\"cell\": \"***\", \"bbox\": [473, 198, 484, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"SD (0.5%)\", \"bbox\": [377, 212, 409, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Coresidence\", \"bbox\": [1, 226, 42, 236]}, {\"cell\": \"33.1%\", \"bbox\": [151, 226, 171, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 226, 278, 236]}, {\"cell\": \"−7.2%\", \"bbox\": [377, 226, 398, 236]}, {\"cell\": \"***\", \"bbox\": [473, 226, 484, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"SD (1.2%)\", \"bbox\": [377, 240, 409, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Work\", \"bbox\": [1, 254, 19, 264]}, {\"cell\": \"55.7%\", \"bbox\": [151, 254, 171, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 254, 278, 264]}, {\"cell\": \"−6.3%\", \"bbox\": [377, 254, 398, 264]}, {\"cell\": \"***\", \"bbox\": [473, 254, 484, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"SD (1.2%)\", \"bbox\": [377, 268, 409, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"K6 score (range: 0–24)\", \"bbox\": [1, 282, 73, 292]}, {\"cell\": \"M 3.90\", \"bbox\": [151, 282, 174, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 282, 272, 292]}, {\"cell\": \"0.70\", \"bbox\": [377, 282, 392, 292]}, {\"cell\": \"***\", \"bbox\": [473, 282, 484, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"SD (0.10)\", \"bbox\": [151, 296, 181, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 296, 277, 306]}, {\"cell\": \"(0.10)\", \"bbox\": [377, 296, 396, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"K6 score ≥ 5\", \"bbox\": [1, 310, 42, 320]}, {\"cell\": \"34.4%\", \"bbox\": [151, 310, 171, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 310, 278, 320]}, {\"cell\": \"5.1%\", \"bbox\": [377, 310, 394, 320]}, {\"cell\": \"***\", \"bbox\": [473, 310, 484, 320]}, {\"cell\": \"Number of observations\", \"bbox\": [1, 324, 80, 334]}, {\"cell\": \"2086\", \"bbox\": [151, 324, 168, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 324, 275, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5899337_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
ItemSurgical (n=154)Gamma Knife (n=82)
[EMPTY_CELL]Febrile convulsion7263
[EMPTY_CELL]116
[EMPTY_CELL]61
[EMPTY_CELL]456
[EMPTY_CELL]226
[EMPTY_CELL]Chest discomfort7732
[EMPTY_CELL]1825
[EMPTY_CELL]240
[EMPTY_CELL]116
[EMPTY_CELL]1013
[EMPTY_CELL]146
[EMPTY_CELL]SPS7231
[EMPTY_CELL]15482
[EMPTY_CELL]9944
[EMPTY_CELL]Range2-103-10
[EMPTY_CELL]4.65.3
[EMPTY_CELL]Left6632
[EMPTY_CELL]8850
\", \"cells\": [{\"cell\": \"Item\", \"bbox\": [0, 4, 19, 15]}, {\"cell\": \"Surgical (n=154)\", \"bbox\": [153, 4, 186, 26]}, {\"cell\": \"Gamma Knife (n=82)\", \"bbox\": [192, 4, 223, 37]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 41, 33, 52]}, {\"cell\": \"Febrile convulsion\", \"bbox\": [56, 41, 132, 52]}, {\"cell\": \"72\", \"bbox\": [165, 41, 176, 52]}, {\"cell\": \"63\", \"bbox\": [201, 41, 212, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [56, 53, 90, 64]}, {\"cell\": \"11\", \"bbox\": [166, 53, 177, 64]}, {\"cell\": \"6\", \"bbox\": [202, 53, 208, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [56, 65, 155, 76]}, {\"cell\": \"6\", \"bbox\": [165, 65, 172, 76]}, {\"cell\": \"1\", \"bbox\": [201, 65, 208, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [56, 77, 112, 88]}, {\"cell\": \"45\", \"bbox\": [165, 77, 176, 88]}, {\"cell\": \"6\", \"bbox\": [201, 77, 208, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [56, 86, 101, 100]}, {\"cell\": \"22\", \"bbox\": [166, 86, 177, 100]}, {\"cell\": \"6\", \"bbox\": [202, 86, 208, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 101, 55, 124]}, {\"cell\": \"Chest discomfort\", \"bbox\": [56, 101, 127, 112]}, {\"cell\": \"77\", \"bbox\": [166, 101, 177, 112]}, {\"cell\": \"32\", \"bbox\": [202, 101, 213, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [56, 113, 149, 124]}, {\"cell\": \"18\", \"bbox\": [166, 113, 177, 124]}, {\"cell\": \"25\", \"bbox\": [202, 113, 213, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [56, 125, 90, 136]}, {\"cell\": \"24\", \"bbox\": [166, 125, 177, 136]}, {\"cell\": \"0\", \"bbox\": [202, 125, 208, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [56, 137, 97, 148]}, {\"cell\": \"11\", \"bbox\": [166, 137, 177, 148]}, {\"cell\": \"6\", \"bbox\": [202, 137, 208, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [56, 149, 143, 160]}, {\"cell\": \"10\", \"bbox\": [166, 149, 177, 160]}, {\"cell\": \"13\", \"bbox\": [202, 149, 213, 160]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [56, 161, 80, 172]}, {\"cell\": \"14\", \"bbox\": [165, 161, 176, 172]}, {\"cell\": \"6\", \"bbox\": [201, 161, 208, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 173, 23, 184]}, {\"cell\": \"SPS\", \"bbox\": [56, 173, 73, 184]}, {\"cell\": \"72\", \"bbox\": [165, 173, 176, 184]}, {\"cell\": \"31\", \"bbox\": [201, 173, 212, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [56, 185, 75, 196]}, {\"cell\": \"154\", \"bbox\": [165, 185, 181, 196]}, {\"cell\": \"82\", \"bbox\": [201, 185, 212, 196]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [56, 197, 75, 208]}, {\"cell\": \"99\", \"bbox\": [165, 197, 176, 208]}, {\"cell\": \"44\", \"bbox\": [201, 197, 212, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 209, 56, 232]}, {\"cell\": \"Range\", \"bbox\": [57, 209, 84, 220]}, {\"cell\": \"2-10\", \"bbox\": [165, 209, 184, 220]}, {\"cell\": \"3-10\", \"bbox\": [201, 209, 220, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [57, 221, 89, 232]}, {\"cell\": \"4.6\", \"bbox\": [166, 221, 179, 232]}, {\"cell\": \"5.3\", \"bbox\": [202, 221, 215, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 233, 33, 244]}, {\"cell\": \"Left\", \"bbox\": [57, 233, 74, 244]}, {\"cell\": \"66\", \"bbox\": [166, 233, 177, 244]}, {\"cell\": \"32\", \"bbox\": [202, 233, 213, 244]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [56, 245, 80, 256]}, {\"cell\": \"88\", \"bbox\": [165, 245, 176, 256]}, {\"cell\": \"50\", \"bbox\": [201, 245, 212, 256]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3817772_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
DataSRNSSSNSP value
Number% Number%
Hypertension[EMPTY_CELL]
Hypertensive1659.327.4[EMPTY_CELL]
Normotensive1140.72592.6
Hematuria
Hematuria933.313.7[EMPTY_CELL]
No hematuria1866.72696.3
Renal insufficiency
RI829.60.000.00[EMPTY_CELL]
No RI1970.427100
Mean s. albumin, g/L (mean ± SD)
2.400 ± 0.8892.525 ± 0.8670.601
Mean blood urea, mmol/L (mean ± SD)
6.499 ± 3.4914.149 ± 1.4050.002
Mean s. creatinine, mmol/L (mean ± SD)
79.518 ± 73.15047.696 ± 14.9040.031
\", \"cells\": [{\"cell\": \"Data\", \"bbox\": [2, 9, 22, 20]}, {\"cell\": \"SRNS\", \"bbox\": [167, 4, 189, 15]}, {\"cell\": \"SSNS\", \"bbox\": [341, 4, 362, 15]}, {\"cell\": \"P value\", \"bbox\": [471, 9, 499, 20]}, {\"cell\": \"Number\", \"bbox\": [122, 16, 154, 27]}, {\"cell\": \"% \", \"bbox\": [219, 16, 228, 27]}, {\"cell\": \"Number\", \"bbox\": [293, 16, 326, 27]}, {\"cell\": \"% \", \"bbox\": [394, 16, 402, 27]}, {\"cell\": \"Hypertension\", \"bbox\": [2, 29, 54, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Hypertensive\", \"bbox\": [11, 42, 61, 52]}, {\"cell\": \"16\", \"bbox\": [133, 42, 142, 52]}, {\"cell\": \"59.3\", \"bbox\": [216, 42, 232, 52]}, {\"cell\": \"2\", \"bbox\": [306, 42, 313, 52]}, {\"cell\": \"7.4\", \"bbox\": [392, 42, 404, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [474, 47, 496, 58]}, {\"cell\": \" Normotensive\", \"bbox\": [11, 54, 64, 65]}, {\"cell\": \"11\", \"bbox\": [134, 54, 142, 65]}, {\"cell\": \"40.7\", \"bbox\": [215, 54, 232, 65]}, {\"cell\": \"25\", \"bbox\": [304, 54, 315, 65]}, {\"cell\": \"92.6\", \"bbox\": [390, 54, 407, 65]}, {\"cell\": \"Hematuria\", \"bbox\": [2, 67, 43, 77]}, {\"cell\": \" Hematuria\", \"bbox\": [11, 79, 52, 90]}, {\"cell\": \"9\", \"bbox\": [135, 79, 141, 90]}, {\"cell\": \"33.3\", \"bbox\": [216, 79, 232, 90]}, {\"cell\": \"1\", \"bbox\": [307, 79, 312, 90]}, {\"cell\": \"3.7\", \"bbox\": [392, 79, 404, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [474, 84, 495, 95]}, {\"cell\": \" No hematuria\", \"bbox\": [11, 91, 63, 102]}, {\"cell\": \"18\", \"bbox\": [133, 91, 142, 102]}, {\"cell\": \"66.7\", \"bbox\": [215, 91, 232, 102]}, {\"cell\": \"26\", \"bbox\": [304, 91, 315, 102]}, {\"cell\": \"96.3\", \"bbox\": [390, 91, 407, 102]}, {\"cell\": \"Renal insufficiency\", \"bbox\": [2, 104, 72, 115]}, {\"cell\": \" RI\", \"bbox\": [11, 116, 22, 127]}, {\"cell\": \"8\", \"bbox\": [135, 116, 141, 127]}, {\"cell\": \"29.6\", \"bbox\": [215, 116, 232, 127]}, {\"cell\": \"0.00\", \"bbox\": [301, 116, 318, 127]}, {\"cell\": \"0.00\", \"bbox\": [389, 116, 407, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [474, 122, 495, 132]}, {\"cell\": \" No RI\", \"bbox\": [11, 129, 35, 139]}, {\"cell\": \"19\", \"bbox\": [133, 129, 142, 139]}, {\"cell\": \"70.4\", \"bbox\": [215, 129, 232, 139]}, {\"cell\": \"27\", \"bbox\": [304, 129, 315, 139]}, {\"cell\": \"100\", \"bbox\": [391, 129, 405, 139]}, {\"cell\": \"Mean s. albumin, g/L (mean ± SD)\", \"bbox\": [2, 138, 129, 153]}, {\"cell\": \" 2.400 ± 0.889\", \"bbox\": [11, 150, 62, 166]}, {\"cell\": \"2.525 ± 0.867\", \"bbox\": [327, 150, 376, 166]}, {\"cell\": \"0.601\", \"bbox\": [474, 154, 495, 164]}, {\"cell\": \"Mean blood urea, mmol/L (mean ± SD)\", \"bbox\": [2, 163, 147, 178]}, {\"cell\": \" 6.499 ± 3.491\", \"bbox\": [11, 175, 60, 191]}, {\"cell\": \"4.149 ± 1.405\", \"bbox\": [328, 175, 375, 191]}, {\"cell\": \"0.002\", \"bbox\": [474, 179, 495, 189]}, {\"cell\": \"Mean s. creatinine, mmol/L (mean ± SD)\", \"bbox\": [2, 188, 152, 203]}, {\"cell\": \" 79.518 ± 73.150\", \"bbox\": [11, 200, 66, 216]}, {\"cell\": \"47.696 ± 14.904\", \"bbox\": [323, 200, 380, 216]}, {\"cell\": \"0.031\", \"bbox\": [475, 203, 495, 214]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5424166_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Quintile of the CHEI
Selected Food GroupsQ1(n = 2494)Q2(n = 2495)Q3(n = 2495)Q4(n = 2495)Q5(n = 2494)P for Trend 1
CHEI score[EMPTY_CELL]46.8952.4558.2168.01[EMPTY_CELL]
Whole grains (g/1000 kcal per day)[EMPTY_CELL]9.6912.5813.2116.53<0.0001
Refine grains (g/1000 kcal per day)[EMPTY_CELL]209.50203.13197.06179.48<0.0001
Dairy products (g/1000 kcal per day)[EMPTY_CELL]6.899.5818.0841.11<0.0001
Seed and nuts (g/1000 kcal per day)[EMPTY_CELL]1.202.203.055.54<0.0001
Fruits (g/1000 kcal per day)[EMPTY_CELL]15.0827.3044.7579.07<0.0001
Vegetables (g/1000 kcal per day)[EMPTY_CELL]154.22156.78159.96167.43<0.0001
Fish and seafood (g/1000 kcal per day)[EMPTY_CELL]9.8511.5814.6421.98<0.0001
Red meat (g/1000 kcal per day)[EMPTY_CELL]41.8839.4140.7138.220.039
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Quintile of the CHEI\", \"bbox\": [249, 4, 320, 13]}, {\"cell\": \"Selected Food Groups\", \"bbox\": [30, 21, 104, 30]}, {\"cell\": \"Q1(n = 2494)\", \"bbox\": [141, 17, 174, 34]}, {\"cell\": \"Q2(n = 2495)\", \"bbox\": [192, 17, 225, 34]}, {\"cell\": \"Q3(n = 2495)\", \"bbox\": [242, 17, 275, 34]}, {\"cell\": \"Q4(n = 2495)\", \"bbox\": [293, 17, 326, 34]}, {\"cell\": \"Q5(n = 2494)\", \"bbox\": [341, 17, 374, 34]}, {\"cell\": \"P for Trend 1\", \"bbox\": [386, 20, 429, 30]}, {\"cell\": \"CHEI score\", \"bbox\": [48, 38, 86, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [149, 38, 167, 47]}, {\"cell\": \"46.89\", \"bbox\": [199, 38, 218, 47]}, {\"cell\": \"52.45\", \"bbox\": [250, 38, 268, 47]}, {\"cell\": \"58.21\", \"bbox\": [300, 38, 319, 47]}, {\"cell\": \"68.01\", \"bbox\": [348, 38, 366, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Whole grains (g/1000 kcal per day)\", \"bbox\": [5, 47, 120, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [151, 47, 165, 56]}, {\"cell\": \"9.69\", \"bbox\": [201, 47, 216, 56]}, {\"cell\": \"12.58\", \"bbox\": [250, 47, 268, 56]}, {\"cell\": \"13.21\", \"bbox\": [300, 47, 319, 56]}, {\"cell\": \"16.53\", \"bbox\": [348, 47, 366, 56]}, {\"cell\": \"<0.0001\", \"bbox\": [395, 47, 421, 56]}, {\"cell\": \"Refine grains (g/1000 kcal per day)\", \"bbox\": [5, 56, 119, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [147, 56, 169, 65]}, {\"cell\": \"209.50\", \"bbox\": [198, 56, 219, 65]}, {\"cell\": \"203.13\", \"bbox\": [248, 56, 270, 65]}, {\"cell\": \"197.06\", \"bbox\": [299, 56, 320, 65]}, {\"cell\": \"179.48\", \"bbox\": [346, 56, 368, 65]}, {\"cell\": \"<0.0001\", \"bbox\": [395, 56, 421, 65]}, {\"cell\": \"Dairy products (g/1000 kcal per day)\", \"bbox\": [5, 64, 125, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [151, 64, 165, 74]}, {\"cell\": \"6.89\", \"bbox\": [201, 64, 216, 74]}, {\"cell\": \"9.58\", \"bbox\": [252, 64, 266, 74]}, {\"cell\": \"18.08\", \"bbox\": [300, 64, 319, 74]}, {\"cell\": \"41.11\", \"bbox\": [348, 64, 366, 74]}, {\"cell\": \"<0.0001\", \"bbox\": [395, 64, 421, 74]}, {\"cell\": \"Seed and nuts (g/1000 kcal per day)\", \"bbox\": [5, 73, 122, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [151, 73, 165, 82]}, {\"cell\": \"1.20\", \"bbox\": [201, 73, 216, 82]}, {\"cell\": \"2.20\", \"bbox\": [252, 73, 266, 82]}, {\"cell\": \"3.05\", \"bbox\": [302, 73, 317, 82]}, {\"cell\": \"5.54\", \"bbox\": [350, 73, 364, 82]}, {\"cell\": \"<0.0001\", \"bbox\": [395, 73, 421, 82]}, {\"cell\": \"Fruits (g/1000 kcal per day)\", \"bbox\": [5, 82, 96, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [151, 82, 165, 91]}, {\"cell\": \"15.08\", \"bbox\": [199, 82, 218, 91]}, {\"cell\": \"27.30\", \"bbox\": [250, 82, 268, 91]}, {\"cell\": \"44.75\", \"bbox\": [300, 82, 319, 91]}, {\"cell\": \"79.07\", \"bbox\": [348, 82, 366, 91]}, {\"cell\": \"<0.0001\", \"bbox\": [395, 82, 421, 91]}, {\"cell\": \"Vegetables (g/1000 kcal per day)\", \"bbox\": [5, 91, 111, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [147, 91, 169, 100]}, {\"cell\": \"154.22\", \"bbox\": [198, 91, 219, 100]}, {\"cell\": \"156.78\", \"bbox\": [248, 91, 270, 100]}, {\"cell\": \"159.96\", \"bbox\": [299, 91, 320, 100]}, {\"cell\": \"167.43\", \"bbox\": [346, 91, 368, 100]}, {\"cell\": \"<0.0001\", \"bbox\": [395, 91, 421, 100]}, {\"cell\": \"Fish and seafood (g/1000 kcal per day)\", \"bbox\": [5, 100, 129, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [151, 100, 165, 109]}, {\"cell\": \"9.85\", \"bbox\": [201, 100, 216, 109]}, {\"cell\": \"11.58\", \"bbox\": [250, 100, 268, 109]}, {\"cell\": \"14.64\", \"bbox\": [300, 100, 319, 109]}, {\"cell\": \"21.98\", \"bbox\": [348, 100, 366, 109]}, {\"cell\": \"<0.0001\", \"bbox\": [395, 100, 421, 109]}, {\"cell\": \"Red meat (g/1000 kcal per day)\", \"bbox\": [5, 108, 107, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [149, 108, 167, 118]}, {\"cell\": \"41.88\", \"bbox\": [199, 108, 218, 118]}, {\"cell\": \"39.41\", \"bbox\": [250, 108, 268, 118]}, {\"cell\": \"40.71\", \"bbox\": [300, 108, 319, 118]}, {\"cell\": \"38.22\", \"bbox\": [348, 108, 366, 118]}, {\"cell\": \"0.039\", \"bbox\": [399, 108, 417, 118]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5852690_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
BenignpHA. vaginaePorphyromonas sp.A*PA or P + pH
[EMPTY_CELL]NormalPositiveNegativeNegativeNegative
[EMPTY_CELL]NormalNegativeNegativeNegativeNegative
[EMPTY_CELL]NormalNegativeNegativeNegativeNegative
[EMPTY_CELL]NormalNegativeNegativeNegativeNegative
[EMPTY_CELL]NormalNegativeNegativeNegativeNegative
[EMPTY_CELL]HighPositiveNegativeNegativePositive
[EMPTY_CELL]HighNegativePositiveNegativePositive
[EMPTY_CELL]HighPositivePositivePositivePositive
[EMPTY_CELL]NormalNegativeNegativeNegativeNegative
[EMPTY_CELL]HighPositiveNegativeNegativePositive
[EMPTY_CELL]pHA. vaginaePorphyromonas sp.A*PA or P + pH
[EMPTY_CELL]HighPositivePositivePositivePositive
[EMPTY_CELL]HighPositivePositivePositivePositive
[EMPTY_CELL]HighPositivePositivePositivePositive
[EMPTY_CELL]HighPositivePositivePositivePositive
[EMPTY_CELL]NormalPositivePositivePositivePositive
[EMPTY_CELL]NormalPositivePositivePositivePositive
[EMPTY_CELL]NormalPositivePositivePositivePositive
[EMPTY_CELL]HighPositivePositivePositivePositive
[EMPTY_CELL]NormalPositivePositivePositivePositive
[EMPTY_CELL]HighPositivePositivePositivePositive
[EMPTY_CELL]HighPositiveNegativeNegativePositive
[EMPTY_CELL]HighPositiveNegativeNegativePositive
[EMPTY_CELL]HighPositivePositivePositivePositive
[EMPTY_CELL]NANegativePositiveNegativeNA
[EMPTY_CELL]HighPositiveNegativeNegativePositive
[EMPTY_CELL]pHA. vaginaePorphyromonas sp.A*PA or P + pH
[EMPTY_CELL]HighNegativeNegativeNegativeNegative
[EMPTY_CELL]HighNegativeNegativeNegativeNegative
[EMPTY_CELL]NormalNegativePositiveNegativeNegative
[EMPTY_CELL]NormalPositiveNegativeNegativeNegative
\", \"cells\": [{\"cell\": \"Benign\", \"bbox\": [1, 4, 25, 13]}, {\"cell\": \"pH\", \"bbox\": [90, 4, 101, 13]}, {\"cell\": \"A. vaginae\", \"bbox\": [166, 4, 201, 13]}, {\"cell\": \"Porphyromonas sp.\", \"bbox\": [252, 4, 313, 13]}, {\"cell\": \"A*P\", \"bbox\": [364, 4, 378, 13]}, {\"cell\": \"A or P + pH\", \"bbox\": [445, 4, 484, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 14, 27]}, {\"cell\": \"Normal\", \"bbox\": [90, 17, 115, 27]}, {\"cell\": \"Positive\", \"bbox\": [166, 17, 193, 27]}, {\"cell\": \"Negative\", \"bbox\": [252, 17, 282, 27]}, {\"cell\": \"Negative\", \"bbox\": [364, 17, 394, 27]}, {\"cell\": \"Negative\", \"bbox\": [445, 17, 476, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 31, 14, 41]}, {\"cell\": \"Normal\", \"bbox\": [90, 31, 115, 41]}, {\"cell\": \"Negative\", \"bbox\": [166, 31, 197, 41]}, {\"cell\": \"Negative\", \"bbox\": [252, 31, 282, 41]}, {\"cell\": \"Negative\", \"bbox\": [364, 31, 394, 41]}, {\"cell\": \"Negative\", \"bbox\": [445, 31, 476, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 45, 14, 55]}, {\"cell\": \"Normal\", \"bbox\": [90, 45, 115, 55]}, {\"cell\": \"Negative\", \"bbox\": [166, 45, 197, 55]}, {\"cell\": \"Negative\", \"bbox\": [252, 45, 282, 55]}, {\"cell\": \"Negative\", \"bbox\": [364, 45, 394, 55]}, {\"cell\": \"Negative\", \"bbox\": [445, 45, 476, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 59, 14, 69]}, {\"cell\": \"Normal\", \"bbox\": [90, 59, 115, 69]}, {\"cell\": \"Negative\", \"bbox\": [166, 59, 197, 69]}, {\"cell\": \"Negative\", \"bbox\": [252, 59, 282, 69]}, {\"cell\": \"Negative\", \"bbox\": [364, 59, 394, 69]}, {\"cell\": \"Negative\", \"bbox\": [445, 59, 476, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 73, 14, 83]}, {\"cell\": \"Normal\", \"bbox\": [90, 73, 115, 83]}, {\"cell\": \"Negative\", \"bbox\": [166, 73, 197, 83]}, {\"cell\": \"Negative\", \"bbox\": [252, 73, 282, 83]}, {\"cell\": \"Negative\", \"bbox\": [364, 73, 394, 83]}, {\"cell\": \"Negative\", \"bbox\": [445, 73, 476, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 87, 14, 97]}, {\"cell\": \"High\", \"bbox\": [90, 87, 107, 97]}, {\"cell\": \"Positive\", \"bbox\": [166, 87, 193, 97]}, {\"cell\": \"Negative\", \"bbox\": [252, 87, 282, 97]}, {\"cell\": \"Negative\", \"bbox\": [364, 87, 394, 97]}, {\"cell\": \"Positive\", \"bbox\": [445, 87, 472, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 101, 14, 111]}, {\"cell\": \"High\", \"bbox\": [90, 101, 107, 111]}, {\"cell\": \"Negative\", \"bbox\": [166, 101, 197, 111]}, {\"cell\": \"Positive\", \"bbox\": [252, 101, 278, 111]}, {\"cell\": \"Negative\", \"bbox\": [364, 101, 394, 111]}, {\"cell\": \"Positive\", \"bbox\": [445, 101, 472, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 115, 14, 125]}, {\"cell\": \"High\", \"bbox\": [90, 115, 107, 125]}, {\"cell\": \"Positive\", \"bbox\": [166, 115, 193, 125]}, {\"cell\": \"Positive\", \"bbox\": [252, 115, 278, 125]}, {\"cell\": \"Positive\", \"bbox\": [364, 115, 390, 125]}, {\"cell\": \"Positive\", \"bbox\": [445, 115, 472, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 129, 14, 139]}, {\"cell\": \"Normal\", \"bbox\": [90, 129, 115, 139]}, {\"cell\": \"Negative\", \"bbox\": [166, 129, 197, 139]}, {\"cell\": \"Negative\", \"bbox\": [252, 129, 282, 139]}, {\"cell\": \"Negative\", \"bbox\": [364, 129, 394, 139]}, {\"cell\": \"Negative\", \"bbox\": [445, 129, 476, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 143, 14, 153]}, {\"cell\": \"High\", \"bbox\": [90, 143, 107, 153]}, {\"cell\": \"Positive\", \"bbox\": [166, 143, 193, 153]}, {\"cell\": \"Negative\", \"bbox\": [252, 143, 282, 153]}, {\"cell\": \"Negative\", \"bbox\": [364, 143, 394, 153]}, {\"cell\": \"Positive\", \"bbox\": [445, 143, 472, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 157, 24, 167]}, {\"cell\": \"pH\", \"bbox\": [90, 157, 101, 167]}, {\"cell\": \"A. vaginae\", \"bbox\": [166, 157, 201, 167]}, {\"cell\": \"Porphyromonas sp.\", \"bbox\": [252, 157, 313, 167]}, {\"cell\": \"A*P\", \"bbox\": [364, 157, 378, 167]}, {\"cell\": \"A or P + pH\", \"bbox\": [445, 157, 484, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 171, 18, 181]}, {\"cell\": \"High\", \"bbox\": [90, 171, 107, 181]}, {\"cell\": \"Positive\", \"bbox\": [166, 171, 193, 181]}, {\"cell\": \"Positive\", \"bbox\": [252, 171, 278, 181]}, {\"cell\": \"Positive\", \"bbox\": [364, 171, 390, 181]}, {\"cell\": \"Positive\", \"bbox\": [445, 171, 472, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 185, 18, 195]}, {\"cell\": \"High\", \"bbox\": [90, 185, 107, 195]}, {\"cell\": \"Positive\", \"bbox\": [166, 185, 193, 195]}, {\"cell\": \"Positive\", \"bbox\": [252, 185, 278, 195]}, {\"cell\": \"Positive\", \"bbox\": [364, 185, 390, 195]}, {\"cell\": \"Positive\", \"bbox\": [445, 185, 472, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 199, 18, 209]}, {\"cell\": \"High\", \"bbox\": [90, 199, 107, 209]}, {\"cell\": \"Positive\", \"bbox\": [166, 199, 193, 209]}, {\"cell\": \"Positive\", \"bbox\": [252, 199, 278, 209]}, {\"cell\": \"Positive\", \"bbox\": [364, 199, 390, 209]}, {\"cell\": \"Positive\", \"bbox\": [445, 199, 472, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 213, 18, 223]}, {\"cell\": \"High\", \"bbox\": [90, 213, 107, 223]}, {\"cell\": \"Positive\", \"bbox\": [166, 213, 193, 223]}, {\"cell\": \"Positive\", \"bbox\": [252, 213, 278, 223]}, {\"cell\": \"Positive\", \"bbox\": [364, 213, 390, 223]}, {\"cell\": \"Positive\", \"bbox\": [445, 213, 472, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 227, 18, 237]}, {\"cell\": \"Normal\", \"bbox\": [90, 227, 115, 237]}, {\"cell\": \"Positive\", \"bbox\": [166, 227, 193, 237]}, {\"cell\": \"Positive\", \"bbox\": [252, 227, 278, 237]}, {\"cell\": \"Positive\", \"bbox\": [364, 227, 390, 237]}, {\"cell\": \"Positive\", \"bbox\": [445, 227, 472, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 241, 18, 251]}, {\"cell\": \"Normal\", \"bbox\": [90, 241, 115, 251]}, {\"cell\": \"Positive\", \"bbox\": [166, 241, 193, 251]}, {\"cell\": \"Positive\", \"bbox\": [252, 241, 278, 251]}, {\"cell\": \"Positive\", \"bbox\": [364, 241, 390, 251]}, {\"cell\": \"Positive\", \"bbox\": [445, 241, 472, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 255, 18, 265]}, {\"cell\": \"Normal\", \"bbox\": [90, 255, 115, 265]}, {\"cell\": \"Positive\", \"bbox\": [166, 255, 193, 265]}, {\"cell\": \"Positive\", \"bbox\": [252, 255, 278, 265]}, {\"cell\": \"Positive\", \"bbox\": [364, 255, 390, 265]}, {\"cell\": \"Positive\", \"bbox\": [445, 255, 472, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 269, 18, 279]}, {\"cell\": \"High\", \"bbox\": [90, 269, 107, 279]}, {\"cell\": \"Positive\", \"bbox\": [166, 269, 193, 279]}, {\"cell\": \"Positive\", \"bbox\": [252, 269, 278, 279]}, {\"cell\": \"Positive\", \"bbox\": [364, 269, 390, 279]}, {\"cell\": \"Positive\", \"bbox\": [445, 269, 472, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 283, 18, 293]}, {\"cell\": \"Normal\", \"bbox\": [90, 283, 115, 293]}, {\"cell\": \"Positive\", \"bbox\": [166, 283, 193, 293]}, {\"cell\": \"Positive\", \"bbox\": [252, 283, 278, 293]}, {\"cell\": \"Positive\", \"bbox\": [364, 283, 390, 293]}, {\"cell\": \"Positive\", \"bbox\": [445, 283, 472, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 297, 18, 307]}, {\"cell\": \"High\", \"bbox\": [90, 297, 107, 307]}, {\"cell\": \"Positive\", \"bbox\": [166, 297, 193, 307]}, {\"cell\": \"Positive\", \"bbox\": [252, 297, 278, 307]}, {\"cell\": \"Positive\", \"bbox\": [364, 297, 390, 307]}, {\"cell\": \"Positive\", \"bbox\": [445, 297, 472, 307]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 311, 18, 321]}, {\"cell\": \"High\", \"bbox\": [90, 311, 107, 321]}, {\"cell\": \"Positive\", \"bbox\": [166, 311, 193, 321]}, {\"cell\": \"Negative\", \"bbox\": [252, 311, 282, 321]}, {\"cell\": \"Negative\", \"bbox\": [364, 311, 394, 321]}, {\"cell\": \"Positive\", \"bbox\": [445, 311, 472, 321]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 325, 18, 335]}, {\"cell\": \"High\", \"bbox\": [90, 325, 107, 335]}, {\"cell\": \"Positive\", \"bbox\": [166, 325, 193, 335]}, {\"cell\": \"Negative\", \"bbox\": [252, 325, 282, 335]}, {\"cell\": \"Negative\", \"bbox\": [364, 325, 394, 335]}, {\"cell\": \"Positive\", \"bbox\": [445, 325, 472, 335]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 339, 18, 349]}, {\"cell\": \"High\", \"bbox\": [90, 339, 107, 349]}, {\"cell\": \"Positive\", \"bbox\": [166, 339, 193, 349]}, {\"cell\": \"Positive\", \"bbox\": [252, 339, 278, 349]}, {\"cell\": \"Positive\", \"bbox\": [364, 339, 390, 349]}, {\"cell\": \"Positive\", \"bbox\": [445, 339, 472, 349]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 353, 18, 363]}, {\"cell\": \"NA\", \"bbox\": [90, 353, 102, 363]}, {\"cell\": \"Negative\", \"bbox\": [166, 353, 197, 363]}, {\"cell\": \"Positive\", \"bbox\": [252, 353, 278, 363]}, {\"cell\": \"Negative\", \"bbox\": [364, 353, 394, 363]}, {\"cell\": \"NA\", \"bbox\": [445, 353, 457, 363]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 367, 18, 377]}, {\"cell\": \"High\", \"bbox\": [90, 367, 107, 377]}, {\"cell\": \"Positive\", \"bbox\": [166, 367, 193, 377]}, {\"cell\": \"Negative\", \"bbox\": [252, 367, 282, 377]}, {\"cell\": \"Negative\", \"bbox\": [364, 367, 394, 377]}, {\"cell\": \"Positive\", \"bbox\": [445, 367, 472, 377]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 381, 39, 391]}, {\"cell\": \"pH\", \"bbox\": [90, 381, 101, 391]}, {\"cell\": \"A. vaginae\", \"bbox\": [166, 381, 201, 391]}, {\"cell\": \"Porphyromonas sp.\", \"bbox\": [252, 381, 313, 391]}, {\"cell\": \"A*P\", \"bbox\": [364, 381, 378, 391]}, {\"cell\": \"A or P + pH\", \"bbox\": [445, 381, 484, 391]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 395, 15, 405]}, {\"cell\": \"High\", \"bbox\": [90, 395, 107, 405]}, {\"cell\": \"Negative\", \"bbox\": [166, 395, 197, 405]}, {\"cell\": \"Negative\", \"bbox\": [252, 395, 282, 405]}, {\"cell\": \"Negative\", \"bbox\": [364, 395, 394, 405]}, {\"cell\": \"Negative\", \"bbox\": [445, 395, 476, 405]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 409, 15, 419]}, {\"cell\": \"High\", \"bbox\": [90, 409, 107, 419]}, {\"cell\": \"Negative\", \"bbox\": [166, 409, 197, 419]}, {\"cell\": \"Negative\", \"bbox\": [252, 409, 282, 419]}, {\"cell\": \"Negative\", \"bbox\": [364, 409, 394, 419]}, {\"cell\": \"Negative\", \"bbox\": [445, 409, 476, 419]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 423, 15, 433]}, {\"cell\": \"Normal\", \"bbox\": [90, 423, 115, 433]}, {\"cell\": \"Negative\", \"bbox\": [166, 423, 197, 433]}, {\"cell\": \"Positive\", \"bbox\": [252, 423, 278, 433]}, {\"cell\": \"Negative\", \"bbox\": [364, 423, 394, 433]}, {\"cell\": \"Negative\", \"bbox\": [445, 423, 476, 433]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 437, 15, 447]}, {\"cell\": \"Normal\", \"bbox\": [90, 437, 115, 447]}, {\"cell\": \"Positive\", \"bbox\": [166, 437, 193, 447]}, {\"cell\": \"Negative\", \"bbox\": [252, 437, 282, 447]}, {\"cell\": \"Negative\", \"bbox\": [364, 437, 394, 447]}, {\"cell\": \"Negative\", \"bbox\": [445, 437, 476, 447]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5123330_011_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Means from current researchMeans from Pennebaker et al. (2015b)
Word typeHopesDutiesBlogsExpressive writingNovelsNatural speechNY timesTwitter
HOPES HIGHER
Analytical/categorical vs. dynamic69.0153.94[EMPTY_CELL]44.8870.3318.4392.5761.94
Emotional tone61.7743.13[EMPTY_CELL]38.6037.0679.2943.6172.24
Positive emotion3.822.27[EMPTY_CELL]2.572.675.312.325.48
Achievement4.382.38[EMPTY_CELL]1.370.910.991.821.45
Reward3.561.80[EMPTY_CELL]1.561.041.731.071.86
Work9.725.88[EMPTY_CELL]2.641.202.874.492.16
Leisure2.890.90[EMPTY_CELL]1.170.561.111.672.11
DUTIES HIGHER
Clout/status24.7334.59[EMPTY_CELL]37.0275.3756.2768.1763.02
Words per sentence15.5218.26[EMPTY_CELL]18.4216.13–21.9412.10
Total function words53.3358.40[EMPTY_CELL]58.2754.5156.8642.3946.08
Total pronouns15.5419.24[EMPTY_CELL]18.0315.1520.927.4113.62
Personal pronouns12.3114.80[EMPTY_CELL]12.7410.3513.373.569.02
Third person singular0.201.86[EMPTY_CELL]2.014.800.771.530.64
Conjunctions4.696.62[EMPTY_CELL]7.466.286.214.854.19
Negations0.421.27[EMPTY_CELL]1.691.682.420.621.74
Negative emotion0.411.53[EMPTY_CELL]2.122.081.191.452.14
Social processes4.399.82[EMPTY_CELL]8.6912.2610.427.6210.47
Family0.702.01[EMPTY_CELL]0.770.390.310.330.36
Friends0.150.92[EMPTY_CELL]0.550.250.370.180.43
Female references0.312.03[EMPTY_CELL]1.371.880.550.620.54
Male references0.411.38[EMPTY_CELL]1.474.090.801.380.84
Differentiation1.312.67[EMPTY_CELL]3.402.823.732.032.62
Affiliation1.453.39[EMPTY_CELL]2.451.392.061.692.53
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Means from current research\", \"bbox\": [115, 6, 214, 15]}, {\"cell\": \"Means from Pennebaker et al. 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353, 309]}, {\"cell\": \"0.80\", \"bbox\": [387, 301, 403, 309]}, {\"cell\": \"1.38\", \"bbox\": [441, 301, 456, 309]}, {\"cell\": \"0.84\", \"bbox\": [485, 301, 501, 309]}, {\"cell\": \"Differentiation\", \"bbox\": [0, 312, 43, 321]}, {\"cell\": \"1.31\", \"bbox\": [120, 312, 136, 321]}, {\"cell\": \"2.67\", \"bbox\": [176, 312, 191, 321]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [230, 312, 245, 321]}, {\"cell\": \"3.40\", \"bbox\": [283, 312, 298, 321]}, {\"cell\": \"2.82\", \"bbox\": [338, 312, 353, 321]}, {\"cell\": \"3.73\", \"bbox\": [387, 312, 403, 321]}, {\"cell\": \"2.03\", \"bbox\": [441, 312, 456, 321]}, {\"cell\": \"2.62\", \"bbox\": [485, 312, 501, 321]}, {\"cell\": \"Affiliation\", \"bbox\": [0, 324, 29, 333]}, {\"cell\": \"1.45\", \"bbox\": [120, 324, 136, 333]}, {\"cell\": \"3.39\", \"bbox\": [176, 324, 191, 333]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [230, 324, 245, 333]}, {\"cell\": \"2.45\", \"bbox\": [283, 324, 298, 333]}, {\"cell\": \"1.39\", \"bbox\": [338, 324, 353, 333]}, {\"cell\": \"2.06\", \"bbox\": [387, 324, 403, 333]}, {\"cell\": \"1.69\", \"bbox\": [441, 324, 456, 333]}, {\"cell\": \"2.53\", \"bbox\": [485, 324, 501, 333]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5964360_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Overall impression of health care reformAffordable coverageCoverage for everyonePreexisting conditionsCoverage of children up to age 26Individual mandate requiring health insurance
PredictorsAORP AORP AORP AORP AORP AORP
Female2.050.0071.820.2302.240.0121.820.1491.11[EMPTY_CELL]2.100.002
Nonwhite2.590.083+[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.510.3820.99[EMPTY_CELL]8.780.001
Age1.000.7441.000.9730.990.2860.990.5660.98[EMPTY_CELL]0.990.296
Income1.000.1361.000.2761.000.5371.000.9040.99[EMPTY_CELL]1.000.451
Some college0.940.8320.750.5661.280.4600.860.7260.48[EMPTY_CELL]0.970.905
Democrat5.980.000[EMPTY_CELL][EMPTY_CELL]4.800.0142.030.3403.09[EMPTY_CELL]2.620.002
Republican0.410.0050.460.1460.540.0440.470.0870.74[EMPTY_CELL]0.780.337
Insured1.060.9031.420.5741.350.5153.260.0470.98[EMPTY_CELL]1.510.247
National TV news1.960.0294.110.0053.24[EMPTY_CELL]2.470.0402.11[EMPTY_CELL]1.700.034
Websites0.820.4332.770.0500.650.1740.490.1320.67[EMPTY_CELL]1.180.507
Family members0.820.4600.470.1430.650.1470.380.0440.81[EMPTY_CELL]0.810.386
Personal reading of legislation1.090.7350.580.1980.590.0851.590.3081.48[EMPTY_CELL]0.660.098
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Overall impression of health care reform\", \"bbox\": [78, 4, 149, 35]}, {\"cell\": \"Affordable coverage\", \"bbox\": [168, 9, 208, 30]}, {\"cell\": \"Coverage for everyone\", \"bbox\": [225, 9, 273, 30]}, {\"cell\": \"Preexisting conditions\", \"bbox\": [292, 9, 334, 30]}, {\"cell\": \"Coverage of children up to age 26\", \"bbox\": [353, 4, 398, 35]}, {\"cell\": \"Individual mandate requiring health insurance\", \"bbox\": [416, 4, 484, 35]}, {\"cell\": \"Predictors\", \"bbox\": [2, 38, 41, 49]}, {\"cell\": \"AOR\", \"bbox\": [85, 38, 105, 49]}, {\"cell\": \"P \", \"bbox\": [134, 38, 141, 46]}, {\"cell\": \"AOR\", \"bbox\": [164, 38, 184, 49]}, {\"cell\": \"P \", \"bbox\": [201, 38, 208, 46]}, {\"cell\": \"AOR\", \"bbox\": [226, 38, 246, 49]}, {\"cell\": \"P \", \"bbox\": [263, 38, 270, 46]}, {\"cell\": \"AOR\", \"bbox\": [291, 38, 311, 49]}, {\"cell\": \"P \", \"bbox\": [330, 38, 337, 46]}, {\"cell\": \"AOR\", \"bbox\": [354, 38, 374, 49]}, {\"cell\": \"P \", \"bbox\": [391, 38, 398, 46]}, {\"cell\": \"AOR\", \"bbox\": [427, 38, 447, 49]}, {\"cell\": \"P \", \"bbox\": [478, 37, 485, 46]}, {\"cell\": \"Female\", \"bbox\": [2, 52, 30, 62]}, {\"cell\": \"2.05\", \"bbox\": [86, 52, 104, 60]}, {\"cell\": \"0.007\", \"bbox\": [127, 52, 149, 60]}, {\"cell\": \"1.82\", \"bbox\": [166, 52, 181, 62]}, {\"cell\": \"0.230\", \"bbox\": [194, 52, 215, 62]}, {\"cell\": \"2.24\", \"bbox\": [227, 52, 245, 60]}, {\"cell\": \"0.012\", \"bbox\": [256, 52, 277, 60]}, {\"cell\": \"1.82\", \"bbox\": [293, 52, 308, 62]}, {\"cell\": \"0.149\", \"bbox\": [324, 52, 344, 62]}, {\"cell\": \"1.11\", \"bbox\": [358, 52, 371, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [384, 52, 406, 62]}, {\"cell\": \"2.10\", \"bbox\": [428, 52, 445, 60]}, {\"cell\": \"0.002\", \"bbox\": [470, 51, 493, 59]}, {\"cell\": \"Nonwhite\", \"bbox\": [2, 65, 40, 76]}, {\"cell\": \"2.59\", \"bbox\": [87, 65, 103, 76]}, {\"cell\": \"0.083\", \"bbox\": [127, 65, 149, 76]}, {\"cell\": \"+\", \"bbox\": [170, 65, 177, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.51\", \"bbox\": [293, 65, 308, 76]}, {\"cell\": \"0.382\", \"bbox\": [323, 65, 344, 76]}, {\"cell\": \"0.99\", \"bbox\": [356, 65, 373, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [384, 65, 406, 76]}, {\"cell\": \"8.78\", \"bbox\": [428, 65, 446, 73]}, {\"cell\": \"0.001\", \"bbox\": [470, 64, 492, 73]}, {\"cell\": \"Age\", \"bbox\": [2, 78, 18, 89]}, {\"cell\": \"1.00\", \"bbox\": [87, 78, 103, 89]}, {\"cell\": \"0.744\", \"bbox\": [127, 78, 149, 89]}, {\"cell\": \"1.00\", \"bbox\": [166, 78, 182, 89]}, {\"cell\": \"0.973\", \"bbox\": [194, 78, 215, 89]}, {\"cell\": \"0.99\", \"bbox\": [227, 78, 245, 89]}, {\"cell\": \"0.286\", \"bbox\": [256, 78, 277, 89]}, {\"cell\": \"0.99\", \"bbox\": [292, 78, 309, 89]}, {\"cell\": \"0.566\", \"bbox\": [323, 78, 345, 89]}, {\"cell\": \"0.98\", \"bbox\": [355, 78, 374, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [384, 78, 406, 87]}, {\"cell\": \"0.99\", \"bbox\": [428, 78, 445, 89]}, {\"cell\": \"0.296\", \"bbox\": [470, 77, 492, 88]}, {\"cell\": \"Income\", \"bbox\": [2, 91, 32, 102]}, {\"cell\": \"1.00\", \"bbox\": [87, 91, 103, 102]}, {\"cell\": \"0.136\", \"bbox\": [128, 91, 148, 102]}, {\"cell\": \"1.00\", \"bbox\": [166, 91, 182, 102]}, {\"cell\": \"0.276\", \"bbox\": [194, 91, 215, 102]}, {\"cell\": \"1.00\", \"bbox\": [228, 91, 244, 102]}, {\"cell\": \"0.537\", \"bbox\": [256, 91, 277, 102]}, {\"cell\": \"1.00\", \"bbox\": [293, 91, 309, 102]}, {\"cell\": \"0.904\", \"bbox\": [323, 91, 345, 102]}, {\"cell\": \"0.99\", \"bbox\": [355, 92, 374, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [384, 92, 406, 100]}, {\"cell\": \"1.00\", \"bbox\": [429, 91, 445, 102]}, {\"cell\": \"0.451\", \"bbox\": [471, 91, 491, 101]}, {\"cell\": \"Some college\", \"bbox\": [2, 105, 51, 115]}, {\"cell\": \"0.94\", \"bbox\": [86, 105, 104, 115]}, {\"cell\": \"0.832\", \"bbox\": [128, 105, 148, 115]}, {\"cell\": \"0.75\", \"bbox\": [165, 105, 182, 115]}, {\"cell\": \"0.566\", \"bbox\": [193, 105, 215, 115]}, {\"cell\": \"1.28\", \"bbox\": [228, 105, 244, 115]}, {\"cell\": \"0.460\", \"bbox\": [256, 105, 278, 115]}, {\"cell\": \"0.86\", \"bbox\": [292, 105, 309, 115]}, {\"cell\": \"0.726\", \"bbox\": [323, 105, 344, 115]}, {\"cell\": \"0.48\", \"bbox\": [355, 105, 374, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [384, 105, 406, 113]}, {\"cell\": \"0.97\", \"bbox\": [428, 105, 445, 115]}, {\"cell\": \"0.905\", \"bbox\": [471, 104, 492, 115]}, {\"cell\": \"Democrat\", \"bbox\": [2, 118, 41, 129]}, {\"cell\": \"5.98\", \"bbox\": [86, 118, 104, 127]}, {\"cell\": \"0.000\", \"bbox\": [126, 118, 150, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"4.80\", \"bbox\": [227, 118, 245, 127]}, {\"cell\": \"0.014\", \"bbox\": [256, 118, 277, 127]}, {\"cell\": \"2.03\", \"bbox\": [292, 118, 309, 129]}, {\"cell\": \"0.340\", \"bbox\": [323, 118, 345, 129]}, {\"cell\": \"3.09\", \"bbox\": [355, 118, 373, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [384, 118, 406, 127]}, {\"cell\": \"2.62\", \"bbox\": [428, 118, 445, 127]}, {\"cell\": \"0.002\", \"bbox\": [470, 117, 493, 126]}, {\"cell\": \"Republican\", \"bbox\": [2, 131, 45, 142]}, {\"cell\": \"0.41\", \"bbox\": [86, 131, 103, 140]}, {\"cell\": \"0.005\", \"bbox\": [127, 131, 149, 140]}, {\"cell\": \"0.46\", \"bbox\": [165, 131, 182, 142]}, {\"cell\": \"0.146\", \"bbox\": [194, 131, 214, 142]}, {\"cell\": \"0.54\", \"bbox\": [227, 131, 245, 140]}, {\"cell\": \"0.044\", \"bbox\": [255, 131, 278, 140]}, {\"cell\": \"0.47\", \"bbox\": [292, 131, 309, 142]}, {\"cell\": \"0.087\", \"bbox\": [323, 131, 344, 142]}, {\"cell\": \"0.74\", \"bbox\": [356, 131, 373, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 131, 405, 142]}, {\"cell\": \"0.78\", \"bbox\": [428, 131, 445, 142]}, {\"cell\": \"0.337\", \"bbox\": [471, 130, 491, 141]}, {\"cell\": \"Insured\", \"bbox\": [2, 145, 32, 155]}, {\"cell\": \"1.06\", \"bbox\": [87, 145, 103, 155]}, {\"cell\": \"0.903\", \"bbox\": [127, 145, 149, 155]}, {\"cell\": \"1.42\", \"bbox\": [166, 145, 182, 155]}, {\"cell\": \"0.574\", \"bbox\": [194, 145, 215, 155]}, {\"cell\": \"1.35\", \"bbox\": [228, 145, 243, 155]}, {\"cell\": \"0.515\", \"bbox\": [257, 145, 276, 155]}, {\"cell\": \"3.26\", \"bbox\": [292, 145, 310, 153]}, {\"cell\": \"0.047\", \"bbox\": [322, 145, 345, 153]}, {\"cell\": \"0.98\", \"bbox\": [356, 145, 373, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 145, 405, 155]}, {\"cell\": \"1.51\", \"bbox\": [430, 145, 444, 155]}, {\"cell\": \"0.247\", \"bbox\": [471, 144, 492, 154]}, {\"cell\": \"National TV news\", \"bbox\": [2, 158, 70, 168]}, {\"cell\": \"1.96\", \"bbox\": [86, 158, 103, 166]}, {\"cell\": \"0.029\", \"bbox\": [127, 158, 149, 166]}, {\"cell\": \"4.11\", \"bbox\": [166, 158, 181, 166]}, {\"cell\": \"0.005\", \"bbox\": [193, 158, 216, 166]}, {\"cell\": \"3.24\", \"bbox\": [227, 158, 245, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [253, 155, 280, 170]}, {\"cell\": \"2.47\", \"bbox\": [292, 158, 310, 166]}, {\"cell\": \"0.040\", \"bbox\": [322, 158, 345, 166]}, {\"cell\": \"2.11\", \"bbox\": [357, 158, 372, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [383, 158, 407, 166]}, {\"cell\": \"1.70\", \"bbox\": [428, 158, 445, 166]}, {\"cell\": \"0.034\", \"bbox\": [470, 157, 493, 165]}, {\"cell\": \"Websites\", \"bbox\": [2, 171, 36, 182]}, {\"cell\": \"0.82\", \"bbox\": [86, 171, 103, 182]}, {\"cell\": \"0.433\", \"bbox\": [128, 171, 148, 182]}, {\"cell\": \"2.77\", \"bbox\": [165, 171, 182, 180]}, {\"cell\": \"0.050\", \"bbox\": [193, 171, 216, 180]}, {\"cell\": \"0.65\", \"bbox\": [227, 171, 244, 182]}, {\"cell\": \"0.174\", \"bbox\": [257, 171, 276, 182]}, {\"cell\": \"0.49\", \"bbox\": [292, 171, 309, 182]}, {\"cell\": \"0.132\", \"bbox\": [324, 171, 343, 182]}, {\"cell\": \"0.67\", \"bbox\": [356, 171, 373, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 171, 405, 182]}, {\"cell\": \"1.18\", \"bbox\": [429, 171, 444, 182]}, {\"cell\": \"0.507\", \"bbox\": [471, 170, 492, 181]}, {\"cell\": \"Family members\", \"bbox\": [2, 184, 64, 195]}, {\"cell\": \"0.82\", \"bbox\": [86, 184, 103, 195]}, {\"cell\": \"0.460\", \"bbox\": [127, 184, 149, 195]}, {\"cell\": \"0.47\", \"bbox\": [165, 184, 182, 195]}, {\"cell\": \"0.143\", \"bbox\": [194, 184, 214, 195]}, {\"cell\": \"0.65\", \"bbox\": [227, 184, 244, 195]}, {\"cell\": \"0.147\", \"bbox\": [257, 184, 276, 195]}, {\"cell\": \"0.38\", \"bbox\": [292, 184, 310, 193]}, {\"cell\": \"0.044\", \"bbox\": [322, 184, 345, 193]}, {\"cell\": \"0.81\", \"bbox\": [357, 184, 372, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 184, 405, 195]}, {\"cell\": \"0.81\", \"bbox\": [429, 184, 444, 195]}, {\"cell\": \"0.386\", \"bbox\": [471, 183, 492, 194]}, {\"cell\": \"Personal reading of legislation\", \"bbox\": [2, 197, 74, 218]}, {\"cell\": \"1.09\", \"bbox\": [87, 202, 103, 213]}, {\"cell\": \"0.735\", \"bbox\": [128, 202, 148, 213]}, {\"cell\": \"0.58\", \"bbox\": [165, 202, 182, 213]}, {\"cell\": \"0.198\", \"bbox\": [194, 202, 214, 213]}, {\"cell\": \"0.59\", \"bbox\": [227, 202, 244, 213]}, {\"cell\": \"0.085\", \"bbox\": [256, 202, 277, 213]}, {\"cell\": \"1.59\", \"bbox\": [293, 202, 308, 213]}, {\"cell\": \"0.308\", \"bbox\": [323, 202, 344, 213]}, {\"cell\": \"1.48\", \"bbox\": [356, 202, 372, 213]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 202, 405, 213]}, {\"cell\": \"0.66\", \"bbox\": [428, 202, 445, 213]}, {\"cell\": \"0.098\", \"bbox\": [470, 201, 492, 212]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4090454_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
CharacteristicsNon- FractureN = 234 (87.3%)FractureN = 34 (12.7%)p*
N%, or mean ± SDN%, or mean ± SD
Gender
Males14160.3[EMPTY_CELL]55.90.030
Females9339.7[EMPTY_CELL]44.1
Age, years
Mean[EMPTY_CELL]22.8 ± 15.2[EMPTY_CELL]23.5 ± 19.10.836
≤ 102410.3[EMPTY_CELL]14.70.626
10–2012453.0[EMPTY_CELL]55.9
> 208435.9[EMPTY_CELL]29.4
Stage of tumor a
IB43.2[EMPTY_CELL]00.112
IIB20286.3[EMPTY_CELL]79.4
III2822.6[EMPTY_CELL]38.9
Tumor size, mm2148363.7 ± 641.1[EMPTY_CELL]389.4 ± 845.90.907
Tumor location
Femur9440.2[EMPTY_CELL]52.90.020
Tibia4920.9[EMPTY_CELL]8.8
Humerus166.8[EMPTY_CELL]29.4
Fibula62.6[EMPTY_CELL]2.9
Others b219.0[EMPTY_CELL]5.9
Not Specified4820.5[EMPTY_CELL]0.0
Lung metastasis c
No15967.9[EMPTY_CELL]50.00.039
Yes7532.1[EMPTY_CELL]50.0
Necrosis rate, %
< 90% (poor)4131.1[EMPTY_CELL]44.80.351
≥ 90% (good)6549.2[EMPTY_CELL]41.4
No preoperative C/T d2619.7[EMPTY_CELL]13.8
Local recurrence
No18378.2[EMPTY_CELL]76.50.820
Yes5121.8[EMPTY_CELL]23.5
Status until last follow up
No evidence of disease10846.4[EMPTY_CELL]47.10.904
Alive with disease3515.1[EMPTY_CELL]17.6
Died of disease8938.4[EMPTY_CELL]35.3
Duration to recurrence, months4123.1 ± 20.9[EMPTY_CELL]12.8 ± 9.40.084
Follow up duration, months23468.0 ± 52.1[EMPTY_CELL]65.2 ± 57.70.362
Overall survival, months23465.7 ± 48.9[EMPTY_CELL]56.4 ± 52.30.338
Progression free survival, months13467.9 ± 52.0[EMPTY_CELL]65.2 ± 57.70.841
Disease-free survival, months10887.1 ± 48.1[EMPTY_CELL]80.8 ± 55.10.667
\", \"cells\": [{\"cell\": \"Characteristics\", \"bbox\": [1, 4, 48, 13]}, {\"cell\": \"Non- FractureN = 234 (87.3%)\", \"bbox\": [153, 4, 204, 22]}, {\"cell\": \"FractureN = 34 (12.7%)\", \"bbox\": [311, 4, 359, 22]}, {\"cell\": \"p*\", \"bbox\": [466, 4, 475, 13]}, {\"cell\": \"N\", \"bbox\": [153, 26, 160, 35]}, {\"cell\": \"%, or mean ± SD\", \"bbox\": [211, 26, 266, 36]}, {\"cell\": \"N\", \"bbox\": [311, 26, 318, 35]}, {\"cell\": \"%, or mean ± SD\", \"bbox\": [366, 26, 421, 36]}, {\"cell\": \"Gender\", \"bbox\": [1, 39, 26, 49]}, {\"cell\": \" Males\", \"bbox\": [9, 53, 29, 63]}, {\"cell\": \"141\", \"bbox\": [153, 53, 166, 63]}, {\"cell\": \"60.3\", \"bbox\": [211, 53, 226, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [311, 53, 321, 63]}, {\"cell\": \"55.9\", \"bbox\": [366, 53, 380, 63]}, {\"cell\": \"0.030\", \"bbox\": [466, 53, 484, 63]}, {\"cell\": \" Females\", \"bbox\": [9, 67, 36, 77]}, {\"cell\": \"93\", \"bbox\": [153, 67, 162, 77]}, {\"cell\": \"39.7\", \"bbox\": [211, 67, 226, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [311, 67, 321, 77]}, {\"cell\": \"44.1\", \"bbox\": [366, 67, 380, 77]}, {\"cell\": \"Age, years\", \"bbox\": [1, 81, 35, 91]}, {\"cell\": \" Mean\", \"bbox\": [9, 95, 28, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"22.8 ± 15.2\", \"bbox\": [211, 95, 247, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"23.5 ± 19.1\", \"bbox\": [366, 95, 401, 105]}, {\"cell\": \"0.836\", \"bbox\": [466, 95, 484, 105]}, {\"cell\": \"≤ 10\", \"bbox\": [10, 109, 27, 119]}, {\"cell\": \"24\", \"bbox\": [153, 109, 162, 119]}, {\"cell\": \"10.3\", \"bbox\": [211, 109, 226, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [311, 109, 317, 119]}, {\"cell\": \"14.7\", \"bbox\": [366, 109, 380, 119]}, {\"cell\": \"0.626\", \"bbox\": [466, 109, 484, 119]}, {\"cell\": \" 10–20\", \"bbox\": [9, 123, 30, 133]}, {\"cell\": \"124\", \"bbox\": [153, 123, 166, 133]}, {\"cell\": \"53.0\", \"bbox\": [211, 123, 226, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [311, 123, 321, 133]}, {\"cell\": \"55.9\", \"bbox\": [366, 123, 380, 133]}, {\"cell\": \"> 20\", \"bbox\": [10, 137, 26, 147]}, {\"cell\": \"84\", \"bbox\": [153, 137, 162, 147]}, {\"cell\": \"35.9\", \"bbox\": [211, 137, 226, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [311, 137, 321, 147]}, {\"cell\": \"29.4\", \"bbox\": [366, 137, 380, 147]}, {\"cell\": \"Stage of tumor a\", \"bbox\": [1, 150, 56, 161]}, {\"cell\": \" IB\", \"bbox\": [9, 165, 16, 175]}, {\"cell\": \"4\", \"bbox\": [153, 165, 159, 175]}, {\"cell\": \"3.2\", \"bbox\": [211, 165, 222, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [311, 165, 317, 175]}, {\"cell\": \"0\", \"bbox\": [366, 165, 372, 175]}, {\"cell\": \"0.112\", \"bbox\": [466, 165, 484, 175]}, {\"cell\": \" IIB\", \"bbox\": [9, 179, 18, 189]}, {\"cell\": \"202\", \"bbox\": [153, 179, 166, 189]}, {\"cell\": \"86.3\", \"bbox\": [211, 179, 226, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [311, 179, 321, 189]}, {\"cell\": \"79.4\", \"bbox\": [366, 179, 380, 189]}, {\"cell\": \" III\", \"bbox\": [9, 193, 16, 203]}, {\"cell\": \"28\", \"bbox\": [153, 193, 162, 203]}, {\"cell\": \"22.6\", \"bbox\": [211, 193, 226, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [311, 193, 317, 203]}, {\"cell\": \"38.9\", \"bbox\": [366, 193, 380, 203]}, {\"cell\": \"Tumor size, mm2\", \"bbox\": [1, 206, 57, 217]}, {\"cell\": \"148\", \"bbox\": [153, 207, 166, 217]}, {\"cell\": \"363.7 ± 641.1\", \"bbox\": [211, 207, 254, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [311, 207, 321, 217]}, {\"cell\": \"389.4 ± 845.9\", \"bbox\": [366, 207, 409, 217]}, {\"cell\": \"0.907\", \"bbox\": [466, 207, 484, 217]}, {\"cell\": \"Tumor location\", \"bbox\": [1, 221, 51, 231]}, {\"cell\": \" Femur\", \"bbox\": [9, 235, 31, 245]}, {\"cell\": \"94\", \"bbox\": [153, 235, 162, 245]}, {\"cell\": \"40.2\", \"bbox\": [211, 235, 226, 245]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [311, 235, 321, 245]}, {\"cell\": \"52.9\", \"bbox\": [366, 235, 380, 245]}, {\"cell\": \"0.020\", \"bbox\": [466, 235, 484, 245]}, {\"cell\": \" Tibia\", \"bbox\": [9, 249, 25, 259]}, {\"cell\": \"49\", \"bbox\": [153, 249, 162, 259]}, {\"cell\": \"20.9\", \"bbox\": [211, 249, 226, 259]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [311, 249, 317, 259]}, {\"cell\": \"8.8\", \"bbox\": [366, 249, 377, 259]}, {\"cell\": \" Humerus\", \"bbox\": [9, 263, 39, 273]}, {\"cell\": \"16\", \"bbox\": [153, 263, 162, 273]}, {\"cell\": \"6.8\", \"bbox\": [211, 263, 222, 273]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [311, 263, 321, 273]}, {\"cell\": \"29.4\", \"bbox\": [366, 263, 380, 273]}, {\"cell\": \" Fibula\", \"bbox\": [9, 277, 30, 287]}, {\"cell\": \"6\", \"bbox\": [153, 277, 159, 287]}, {\"cell\": \"2.6\", \"bbox\": [211, 277, 222, 287]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [311, 277, 317, 287]}, {\"cell\": \"2.9\", \"bbox\": [366, 277, 377, 287]}, {\"cell\": \" Others b\", \"bbox\": [9, 290, 37, 301]}, {\"cell\": \"21\", \"bbox\": [153, 291, 162, 301]}, {\"cell\": \"9.0\", \"bbox\": [211, 291, 222, 301]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [311, 291, 317, 301]}, {\"cell\": \"5.9\", \"bbox\": [366, 291, 377, 301]}, {\"cell\": \" Not Specified\", \"bbox\": [9, 305, 53, 315]}, {\"cell\": \"48\", \"bbox\": [153, 305, 162, 315]}, {\"cell\": \"20.5\", \"bbox\": [211, 305, 226, 315]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [311, 305, 317, 315]}, {\"cell\": \"0.0\", \"bbox\": [366, 305, 377, 315]}, {\"cell\": \"Lung metastasis c\", \"bbox\": [1, 318, 59, 329]}, {\"cell\": \" No\", \"bbox\": [9, 333, 20, 343]}, {\"cell\": \"159\", \"bbox\": [153, 333, 166, 343]}, {\"cell\": \"67.9\", \"bbox\": [211, 333, 226, 343]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [311, 333, 321, 343]}, {\"cell\": \"50.0\", \"bbox\": [366, 333, 380, 343]}, {\"cell\": \"0.039\", \"bbox\": [466, 333, 484, 343]}, {\"cell\": \" Yes\", \"bbox\": [9, 347, 21, 357]}, {\"cell\": \"75\", \"bbox\": [153, 347, 162, 357]}, {\"cell\": \"32.1\", \"bbox\": [211, 347, 226, 357]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [311, 347, 321, 357]}, {\"cell\": \"50.0\", \"bbox\": [366, 347, 380, 357]}, {\"cell\": \"Necrosis rate, %\", \"bbox\": [1, 361, 53, 371]}, {\"cell\": \"< 90% (poor)\", \"bbox\": [10, 375, 54, 385]}, {\"cell\": \"41\", \"bbox\": [153, 375, 162, 385]}, {\"cell\": \"31.1\", \"bbox\": [211, 375, 226, 385]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [311, 375, 321, 385]}, {\"cell\": \"44.8\", \"bbox\": [366, 375, 380, 385]}, {\"cell\": \"0.351\", \"bbox\": [466, 375, 484, 385]}, {\"cell\": \"≥ 90% (good)\", \"bbox\": [10, 389, 56, 399]}, {\"cell\": \"65\", \"bbox\": [153, 389, 162, 399]}, {\"cell\": \"49.2\", \"bbox\": [211, 389, 226, 399]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [311, 389, 321, 399]}, {\"cell\": \"41.4\", \"bbox\": [366, 389, 380, 399]}, {\"cell\": \" No preoperative C/T d\", \"bbox\": [9, 402, 81, 413]}, {\"cell\": \"26\", \"bbox\": [153, 403, 162, 413]}, {\"cell\": \"19.7\", \"bbox\": [211, 403, 226, 413]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [311, 403, 317, 413]}, {\"cell\": \"13.8\", \"bbox\": [366, 403, 380, 413]}, {\"cell\": \"Local recurrence\", \"bbox\": [1, 417, 55, 427]}, {\"cell\": \" No\", \"bbox\": [9, 431, 20, 441]}, {\"cell\": \"183\", \"bbox\": [153, 431, 166, 441]}, {\"cell\": \"78.2\", \"bbox\": [211, 431, 226, 441]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [311, 431, 321, 441]}, {\"cell\": \"76.5\", \"bbox\": [366, 431, 380, 441]}, {\"cell\": \"0.820\", \"bbox\": [466, 431, 484, 441]}, {\"cell\": \" Yes\", \"bbox\": [9, 445, 21, 455]}, {\"cell\": \"51\", \"bbox\": [153, 445, 162, 455]}, {\"cell\": \"21.8\", \"bbox\": [211, 445, 226, 455]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [311, 445, 317, 455]}, {\"cell\": \"23.5\", \"bbox\": [366, 445, 380, 455]}, {\"cell\": \"Status until last follow up\", \"bbox\": [1, 459, 84, 469]}, {\"cell\": \" No evidence of disease\", \"bbox\": [9, 473, 85, 483]}, {\"cell\": \"108\", \"bbox\": [153, 473, 166, 483]}, {\"cell\": \"46.4\", \"bbox\": [211, 473, 226, 483]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [311, 473, 321, 483]}, {\"cell\": \"47.1\", \"bbox\": [366, 473, 380, 483]}, {\"cell\": \"0.904\", \"bbox\": [466, 473, 484, 483]}, {\"cell\": \" Alive with disease\", \"bbox\": [9, 487, 68, 497]}, {\"cell\": \"35\", \"bbox\": [153, 487, 162, 497]}, {\"cell\": \"15.1\", \"bbox\": [211, 487, 226, 497]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [311, 487, 317, 497]}, {\"cell\": \"17.6\", \"bbox\": [366, 487, 380, 497]}, {\"cell\": \" Died of disease\", \"bbox\": [8, 501, 60, 511]}, {\"cell\": \"89\", \"bbox\": [153, 501, 162, 511]}, {\"cell\": \"38.4\", \"bbox\": [211, 501, 226, 511]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [311, 501, 321, 511]}, {\"cell\": \"35.3\", \"bbox\": [366, 501, 380, 511]}, {\"cell\": \"Duration to recurrence, months\", \"bbox\": [1, 515, 104, 525]}, {\"cell\": \"41\", \"bbox\": [153, 515, 162, 525]}, {\"cell\": \"23.1 ± 20.9\", \"bbox\": [211, 515, 247, 525]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [311, 515, 317, 525]}, {\"cell\": \"12.8 ± 9.4\", \"bbox\": [366, 515, 397, 525]}, {\"cell\": \"0.084\", \"bbox\": [466, 515, 484, 525]}, {\"cell\": \"Follow up duration, months\", \"bbox\": [1, 529, 92, 539]}, {\"cell\": \"234\", \"bbox\": [153, 529, 166, 539]}, {\"cell\": \"68.0 ± 52.1\", \"bbox\": [211, 529, 247, 539]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [311, 529, 321, 539]}, {\"cell\": \"65.2 ± 57.7\", \"bbox\": [366, 529, 401, 539]}, {\"cell\": \"0.362\", \"bbox\": [466, 529, 484, 539]}, {\"cell\": \"Overall survival, months\", \"bbox\": [1, 543, 79, 553]}, {\"cell\": \"234\", \"bbox\": [153, 543, 166, 553]}, {\"cell\": \"65.7 ± 48.9\", \"bbox\": [211, 543, 247, 553]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [311, 543, 321, 553]}, {\"cell\": \"56.4 ± 52.3\", \"bbox\": [366, 543, 401, 553]}, {\"cell\": \"0.338\", \"bbox\": [466, 543, 484, 553]}, {\"cell\": \"Progression free survival, months\", \"bbox\": [1, 557, 108, 567]}, {\"cell\": \"134\", \"bbox\": [153, 557, 166, 567]}, {\"cell\": \"67.9 ± 52.0\", \"bbox\": [211, 557, 247, 567]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [311, 557, 321, 567]}, {\"cell\": \"65.2 ± 57.7\", \"bbox\": [366, 557, 401, 567]}, {\"cell\": \"0.841\", \"bbox\": [466, 557, 484, 567]}, {\"cell\": \"Disease-free survival, months\", \"bbox\": [1, 571, 95, 581]}, {\"cell\": \"108\", \"bbox\": [153, 571, 166, 581]}, {\"cell\": \"87.1 ± 48.1\", \"bbox\": [211, 571, 247, 581]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [311, 571, 321, 581]}, {\"cell\": \"80.8 ± 55.1\", \"bbox\": [366, 571, 401, 581]}, {\"cell\": \"0.667\", \"bbox\": [466, 571, 484, 581]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5192576_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Training set (total/events)Validation set (total/events)Hazard ratio (95%CI)Log rank p valueDistant Metastases Free Survival for low risk group only#
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]DMFS at 3 yearsDMFS at 5 yearsDMFS at 10 years
OXFT (99/19)KIT/GUYT(156/48)[EMPTY_CELL]<0.0000191%87%79%
KIT (69/20)OXFT/GUYT (186/47)[EMPTY_CELL]<0.0000196%92%88%
GUYT (87/28)OXFT/KIT (168/39)[EMPTY_CELL]<0.0000193%89%82%
KIT/GUYT (156/48)OXFT (99/19)[EMPTY_CELL]<0.0000197%94%91%
OXFT/GUYT (186/47)KIT (69/20)[EMPTY_CELL]0.00596%92%84%
OXFT/KIT(168/39)GUYT (87/28)[EMPTY_CELL]0.0396%92%84%
Leave-one-out cross validation (255/67)*3.86 (2.32–6.41)[EMPTY_CELL]94%91%84%
Multiple 10-fold cross-validation (255/67)3.23 (2.66–3.84)[EMPTY_CELL]94%90%83%
\", \"cells\": [{\"cell\": \"Training set (total/events)\", \"bbox\": [11, 3, 85, 21]}, {\"cell\": \"Validation set (total/events)\", \"bbox\": [99, 3, 179, 21]}, {\"cell\": \"Hazard ratio (95%CI)\", \"bbox\": [194, 3, 245, 21]}, {\"cell\": \"Log rank p value\", \"bbox\": [260, 3, 303, 21]}, {\"cell\": \"Distant Metastases Free Survival for low risk group only#\", \"bbox\": [320, 3, 493, 21]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"DMFS at 3 years\", \"bbox\": [312, 34, 369, 44]}, {\"cell\": \"DMFS at 5 years\", \"bbox\": [376, 34, 433, 44]}, {\"cell\": \"DMFS at 10 years\", \"bbox\": [440, 34, 501, 44]}, {\"cell\": \"OXFT (99/19)\", \"bbox\": [23, 56, 73, 66]}, {\"cell\": \"KIT/GUYT(156/48)\", \"bbox\": [105, 56, 172, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [193, 56, 245, 66]}, {\"cell\": \"<0.00001\", \"bbox\": [265, 56, 299, 66]}, {\"cell\": \"91%\", \"bbox\": [333, 56, 349, 66]}, {\"cell\": \"87%\", \"bbox\": [397, 56, 413, 66]}, {\"cell\": \"79%\", \"bbox\": [463, 56, 479, 66]}, {\"cell\": \"KIT (69/20)\", \"bbox\": [27, 67, 68, 76]}, {\"cell\": \"OXFT/GUYT (186/47)\", \"bbox\": [100, 67, 178, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 67, 247, 76]}, {\"cell\": \"<0.00001\", \"bbox\": [265, 67, 299, 76]}, {\"cell\": \"96%\", \"bbox\": [333, 67, 349, 76]}, {\"cell\": \"92%\", \"bbox\": [397, 67, 413, 76]}, {\"cell\": \"88%\", \"bbox\": [463, 67, 479, 76]}, {\"cell\": \"GUYT (87/28)\", \"bbox\": [23, 77, 73, 86]}, {\"cell\": \"OXFT/KIT (168/39)\", \"bbox\": [105, 77, 173, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 77, 247, 86]}, {\"cell\": \"<0.00001\", \"bbox\": [265, 77, 299, 86]}, {\"cell\": \"93%\", \"bbox\": [333, 77, 349, 86]}, {\"cell\": \"89%\", \"bbox\": [397, 77, 413, 86]}, {\"cell\": \"82%\", \"bbox\": [463, 77, 479, 86]}, {\"cell\": \"KIT/GUYT (156/48)\", \"bbox\": [13, 87, 82, 97]}, {\"cell\": \"OXFT (99/19)\", \"bbox\": [114, 87, 164, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [189, 87, 250, 97]}, {\"cell\": \"<0.00001\", \"bbox\": [265, 87, 299, 97]}, {\"cell\": \"97%\", \"bbox\": [333, 87, 349, 97]}, {\"cell\": \"94%\", \"bbox\": [397, 87, 413, 97]}, {\"cell\": \"91%\", \"bbox\": [463, 87, 479, 97]}, {\"cell\": \"OXFT/GUYT (186/47)\", \"bbox\": [9, 97, 87, 107]}, {\"cell\": \"KIT (69/20)\", \"bbox\": [119, 97, 159, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 97, 247, 107]}, {\"cell\": \"0.005\", \"bbox\": [272, 97, 292, 107]}, {\"cell\": \"96%\", \"bbox\": [333, 97, 349, 107]}, {\"cell\": \"92%\", \"bbox\": [397, 97, 413, 107]}, {\"cell\": \"84%\", \"bbox\": [463, 97, 479, 107]}, {\"cell\": \"OXFT/KIT(168/39)\", \"bbox\": [15, 108, 81, 117]}, {\"cell\": \"GUYT (87/28)\", \"bbox\": [114, 108, 164, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 108, 247, 117]}, {\"cell\": \"0.03\", \"bbox\": [274, 108, 290, 117]}, {\"cell\": \"96%\", \"bbox\": [333, 108, 349, 117]}, {\"cell\": \"92%\", \"bbox\": [397, 108, 413, 117]}, {\"cell\": \"84%\", \"bbox\": [463, 108, 479, 117]}, {\"cell\": \"Leave-one-out cross validation (255/67)*\", \"bbox\": [14, 118, 171, 127]}, {\"cell\": \"3.86 (2.32–6.41)\", \"bbox\": [191, 118, 247, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 118, 296, 127]}, {\"cell\": \"94%\", \"bbox\": [333, 118, 349, 127]}, {\"cell\": \"91%\", \"bbox\": [397, 118, 413, 127]}, {\"cell\": \"84%\", \"bbox\": [463, 118, 479, 127]}, {\"cell\": \"Multiple 10-fold cross-validation (255/67)\", \"bbox\": [14, 128, 171, 138]}, {\"cell\": \"3.23 (2.66–3.84)\", \"bbox\": [191, 128, 247, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 128, 296, 138]}, {\"cell\": \"94%\", \"bbox\": [333, 128, 349, 138]}, {\"cell\": \"90%\", \"bbox\": [397, 128, 413, 138]}, {\"cell\": \"83%\", \"bbox\": [463, 128, 479, 138]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2423197_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
OutcomesMeasures used
Depression score (depression trial only) as a binary outcome at 8 and 12 months and as a continuous variable at 4,8 and 12 months[EMPTY_CELL]
Ten-year CVD risk score (CVD risk trial only) as a binary outcome at 6 months and as a continuous variable at 6 and 12 months[EMPTY_CELL]
Quality of life[EMPTY_CELL]
Patient satisfaction[EMPTY_CELL]
Patient perceived access to care[EMPTY_CELL]
Physical activity[EMPTY_CELL]
Individual cardiovascular risk factors that is blood pressure, cholesterol, smoking status, weight, BMI (CVD risk trial only)[EMPTY_CELL]
Diet (CVD risk trial only)[EMPTY_CELL]
Use of telehealth[EMPTY_CELL]
Internet use and experience[EMPTY_CELL]
Self-management skills and self-efficacy[EMPTY_CELL]
Medication adherence (depression trial asked only about antidepressant medication; CVD trial asked about antihypertensive and cholesterol-lowering medications)[EMPTY_CELL]
Health literacy[EMPTY_CELL]
Care coordination[EMPTY_CELL]
Anxiety (depression trial only)[EMPTY_CELL]
Resource use[EMPTY_CELL]
Demographics[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Outcomes\", \"bbox\": [1, 4, 37, 12]}, {\"cell\": \"Measures used\", \"bbox\": [247, 4, 300, 12]}, {\"cell\": \"Depression score (depression trial only) as a binary outcome at 8 and 12 months and as a continuous variable at 4,8 and 12 months\", \"bbox\": [1, 17, 217, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [247, 17, 283, 27]}, {\"cell\": \"Ten-year CVD risk score (CVD risk trial only) as a binary outcome at 6 months and as a continuous variable at 6 and 12 months\", \"bbox\": [0, 40, 209, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [247, 40, 415, 50]}, {\"cell\": \"Quality of life\", \"bbox\": [0, 63, 45, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [247, 63, 295, 73]}, {\"cell\": \"Patient satisfaction\", \"bbox\": [0, 77, 62, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [247, 77, 455, 96]}, {\"cell\": \"Patient perceived access to care\", \"bbox\": [0, 100, 105, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [247, 100, 484, 110]}, {\"cell\": \"Physical activity\", \"bbox\": [1, 114, 52, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [247, 114, 399, 124]}, {\"cell\": \"Individual cardiovascular risk factors that is blood pressure, cholesterol, smoking status, weight, BMI (CVD risk trial only)\", \"bbox\": [0, 128, 193, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [247, 128, 309, 138]}, {\"cell\": \"Diet (CVD risk trial only)\", \"bbox\": [0, 151, 78, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [247, 151, 359, 161]}, {\"cell\": \"Use of telehealth\", \"bbox\": [1, 165, 57, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [247, 165, 372, 175]}, {\"cell\": \"Internet use and experience\", \"bbox\": [1, 179, 92, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [247, 179, 372, 189]}, {\"cell\": \"Self-management skills and self-efficacy\", \"bbox\": [1, 193, 129, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [247, 193, 477, 221]}, {\"cell\": \"Medication adherence (depression trial asked only about antidepressant medication; CVD trial asked about antihypertensive and cholesterol-lowering medications)\", \"bbox\": [1, 225, 222, 253]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [247, 225, 381, 235]}, {\"cell\": \"Health literacy\", \"bbox\": [0, 257, 48, 267]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [247, 257, 353, 267]}, {\"cell\": \"Care coordination\", \"bbox\": [0, 271, 60, 281]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [247, 271, 464, 281]}, {\"cell\": \"Anxiety (depression trial only)\", \"bbox\": [0, 285, 97, 295]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [247, 285, 284, 295]}, {\"cell\": \"Resource use\", \"bbox\": [1, 299, 45, 309]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [247, 299, 372, 309]}, {\"cell\": \"Demographics\", \"bbox\": [1, 313, 49, 323]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [247, 313, 477, 332]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3906859_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Population studiedInterviewCohen's KappaSe (%)95% CISp (%)95% CIAccuracy(%)95% CI+PV95% CI-PV (%)95% CI
[12]749 smokersAge range: 18-64[EMPTY_CELL]0.7479.6%(70.6-88.5)96.5%(95.1-98)94.5%(92.8-96.2)75.3%(66-85.6)97.3%(95.9-98.6)
[EMPTY_CELL]351 males[EMPTY_CELL]0.7278.1%(64.2-91.9)96.1%(93.8-98.4)94%(91.4-96.6)72.7%(58.4-87)97.1%(95-99.2)
[EMPTY_CELL]398 females[EMPTY_CELL]0.7680.9%(68.5-93.2)96.9%(94.9-98.8)95%(92.7-97.3)77.6%(64.9-90.3)97.4%(95.6-99.2)
[8]1,462 smokers (5 samples from the US and Spain)[EMPTY_CELL]0.7894.4%(92.2-96.7)88.1%(86-90.1)90%(88.4-91.6)77.8%(74.2-81.3)97.3%(96.2-98.4)
[5]819 smokersAge range: 15 and over[EMPTY_CELL]0.7185.0%(79.3-90.7)91.3%(89-93.5)90%(87.9-92.1)71.4%(64.8-77.9)96.0%(94.3-97.6)
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Population studied\", \"bbox\": [26, 4, 100, 14]}, {\"cell\": \"Interview\", \"bbox\": [157, 4, 195, 14]}, {\"cell\": \"Cohen's Kappa\", \"bbox\": [205, 4, 264, 14]}, {\"cell\": \"Se (%)95% CI\", \"bbox\": [275, 4, 303, 23]}, {\"cell\": \"Sp (%)95% CI\", \"bbox\": [319, 4, 348, 23]}, {\"cell\": \"Accuracy(%)95% CI\", \"bbox\": [359, 4, 409, 23]}, {\"cell\": \"+PV95% CI\", \"bbox\": [420, 4, 448, 23]}, {\"cell\": \"-PV (%)95% CI\", \"bbox\": [463, 4, 494, 23]}, {\"cell\": \"[12]\", \"bbox\": [5, 36, 20, 46]}, {\"cell\": \"749 smokersAge range: 18-64\", \"bbox\": [26, 36, 85, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 36, 199, 46]}, {\"cell\": \"0.74\", \"bbox\": [226, 36, 242, 46]}, {\"cell\": \"79.6%(70.6-88.5)\", \"bbox\": [270, 36, 308, 55]}, {\"cell\": \"96.5%(95.1-98)\", \"bbox\": [317, 36, 350, 55]}, {\"cell\": \"94.5%(92.8-96.2)\", \"bbox\": [365, 36, 403, 55]}, {\"cell\": \"75.3%(66-85.6)\", \"bbox\": [418, 36, 450, 55]}, {\"cell\": \"97.3%(95.9-98.6)\", \"bbox\": [459, 36, 497, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"351 males\", \"bbox\": [26, 55, 62, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.72\", \"bbox\": [226, 55, 242, 65]}, {\"cell\": \"78.1%(64.2-91.9)\", \"bbox\": [270, 55, 308, 74]}, {\"cell\": \"96.1%(93.8-98.4)\", \"bbox\": [314, 55, 353, 74]}, {\"cell\": \"94%(91.4-96.6)\", \"bbox\": [365, 55, 403, 74]}, {\"cell\": \"72.7%(58.4-87)\", \"bbox\": [418, 55, 450, 74]}, {\"cell\": \"97.1%(95-99.2)\", \"bbox\": [462, 55, 494, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"398 females\", \"bbox\": [26, 75, 68, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.76\", \"bbox\": [226, 75, 242, 85]}, {\"cell\": \"80.9%(68.5-93.2)\", \"bbox\": [270, 75, 308, 94]}, {\"cell\": \"96.9%(94.9-98.8)\", \"bbox\": [314, 75, 353, 94]}, {\"cell\": \"95%(92.7-97.3)\", \"bbox\": [365, 75, 403, 94]}, {\"cell\": \"77.6%(64.9-90.3)\", \"bbox\": [415, 75, 453, 94]}, {\"cell\": \"97.4%(95.6-99.2)\", \"bbox\": [459, 75, 497, 94]}, {\"cell\": \"[8]\", \"bbox\": [5, 94, 16, 104]}, {\"cell\": \"1,462 smokers (5 samples from the US and Spain)\", \"bbox\": [26, 94, 143, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 94, 199, 104]}, {\"cell\": \"0.78\", \"bbox\": [226, 94, 242, 104]}, {\"cell\": \"94.4%(92.2-96.7)\", \"bbox\": [270, 94, 308, 113]}, {\"cell\": \"88.1%(86-90.1)\", \"bbox\": [317, 94, 350, 113]}, {\"cell\": \"90%(88.4-91.6)\", \"bbox\": [365, 94, 403, 113]}, {\"cell\": \"77.8%(74.2-81.3)\", \"bbox\": [415, 94, 453, 113]}, {\"cell\": \"97.3%(96.2-98.4)\", \"bbox\": [459, 94, 497, 113]}, {\"cell\": \"[5]\", \"bbox\": [5, 114, 16, 124]}, {\"cell\": \"819 smokersAge range: 15 and over\", \"bbox\": [26, 114, 106, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 114, 199, 124]}, {\"cell\": \"0.71\", \"bbox\": [226, 114, 242, 124]}, {\"cell\": \"85.0%(79.3-90.7)\", \"bbox\": [270, 114, 308, 133]}, {\"cell\": \"91.3%(89-93.5)\", \"bbox\": [317, 114, 350, 133]}, {\"cell\": \"90%(87.9-92.1)\", \"bbox\": [365, 114, 403, 133]}, {\"cell\": \"71.4%(64.8-77.9)\", \"bbox\": [415, 114, 453, 133]}, {\"cell\": \"96.0%(94.3-97.6)\", \"bbox\": [459, 114, 497, 133]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2809067_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
StandardGoal
[EMPTY_CELL]To ensure that all Ontarians have access to public health programs.
[EMPTY_CELL]To prevent or reduce adverse health outcomes resulting from exposure to health hazards as defined in the Health Protection and Promotion Act and including biological, physical, and chemical agents, natural or manmade.
[EMPTY_CELL]To ensure that local programs address the health needs of the community, with cost-effective, efficient, evidence-based approaches.
[EMPTY_CELL]To reduce the premature mortality and morbidity from preventable chronic diseases.
[EMPTY_CELL]To reduce mortality from breast cancer and cervical cancer by increasing early detection.
[EMPTY_CELL]To reduce disability, morbidity and mortality caused by motorized vehicles, bicycle crashes, alcohol and other substances, falls in the elderly and to prevent drowning in specific recreational water facilities.
[EMPTY_CELL]To promote healthy sexuality.
[EMPTY_CELL]To support healthy pregnancies.
[EMPTY_CELL]To promote the health of children and youth.
[EMPTY_CELL]To reduce the incidence of infectious diseases of public health importance.
[EMPTY_CELL]To improve the health of the population by reducing the incidence of food-borne illness.
[EMPTY_CELL]To reduce transmission of infectious diseases.
[EMPTY_CELL]To prevent the occurrence of rabies in humans.
[EMPTY_CELL]To reduce the incidence of water-borne illness in the population.
[EMPTY_CELL]To reduce the incidence of and complications from all sexually transmitted diseases (STDs) including HIV/AIDS.
[EMPTY_CELL]To reduce the incidence of tuberculosis (TB).
[EMPTY_CELL]To reduce the incidence of vaccine preventable diseases.
\", \"cells\": [{\"cell\": \"Standard\", \"bbox\": [4, 5, 42, 12]}, {\"cell\": \"Goal\", \"bbox\": [206, 5, 226, 12]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 27, 49, 36]}, {\"cell\": \"To ensure that all Ontarians have access to public health programs.\", \"bbox\": [206, 27, 433, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 37, 99, 47]}, {\"cell\": \"To prevent or reduce adverse health outcomes resulting from exposure to health hazards as defined in the Health Protection and Promotion Act and including biological, physical, and chemical agents, natural or manmade.\", \"bbox\": [206, 37, 486, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 66, 115, 75]}, {\"cell\": \"To ensure that local programs address the health needs of the community, with cost-effective, efficient, evidence-based approaches.\", \"bbox\": [206, 66, 494, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 85, 100, 95]}, {\"cell\": \"To reduce the premature mortality and morbidity from preventable chronic diseases.\", \"bbox\": [206, 85, 494, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 95, 94, 105]}, {\"cell\": \"To reduce mortality from breast cancer and cervical cancer by increasing early detection.\", \"bbox\": [206, 95, 471, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 115, 193, 125]}, {\"cell\": \"To reduce disability, morbidity and mortality caused by motorized vehicles, bicycle crashes, alcohol and other substances, falls in the elderly and to prevent drowning in specific recreational water facilities.\", \"bbox\": [206, 115, 490, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 144, 52, 153]}, {\"cell\": \"To promote healthy sexuality.\", \"bbox\": [206, 144, 308, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 154, 76, 164]}, {\"cell\": \"To support healthy pregnancies.\", \"bbox\": [206, 154, 315, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 164, 49, 174]}, {\"cell\": \"To promote the health of children and youth.\", \"bbox\": [206, 164, 360, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 174, 108, 184]}, {\"cell\": \"To reduce the incidence of infectious diseases of public health importance.\", \"bbox\": [206, 174, 457, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 185, 46, 194]}, {\"cell\": \"To improve the health of the population by reducing the incidence of food-borne illness.\", \"bbox\": [206, 185, 480, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 204, 65, 214]}, {\"cell\": \"To reduce transmission of infectious diseases.\", \"bbox\": [206, 204, 361, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 214, 57, 224]}, {\"cell\": \"To prevent the occurrence of rabies in humans.\", \"bbox\": [206, 214, 368, 224]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 225, 44, 234]}, {\"cell\": \"To reduce the incidence of water-borne illness in the population.\", \"bbox\": [206, 225, 426, 234]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 235, 200, 245]}, {\"cell\": \"To reduce the incidence of and complications from all sexually transmitted diseases (STDs) including HIV/AIDS.\", \"bbox\": [206, 235, 487, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 254, 96, 264]}, {\"cell\": \"To reduce the incidence of tuberculosis (TB).\", \"bbox\": [206, 254, 360, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 265, 105, 274]}, {\"cell\": \"To reduce the incidence of vaccine preventable diseases.\", \"bbox\": [206, 265, 397, 274]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2684743_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]PFS
[EMPTY_CELL]ParameterSEHR95%CIWAld’s p
Subgroup A(1st line, chemo-naïve)
Age−0.0280.011[EMPTY_CELL]0.952-0.9940.012
TYMS[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
aberrant vs. normal0.5770.253[EMPTY_CELL]1.084-2.9230.563
Treatment[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
platinum vs. taxanes0.2350.407[EMPTY_CELL]0.570-2.8110.563
tax/plat vs. taxanes−0.2200.303[EMPTY_CELL]0.443-1.4520.467
other vs. taxanes0.0880.376[EMPTY_CELL]0.522-2.2820.816
aberrant TYMS *platinum−1,6870.564[EMPTY_CELL][EMPTY_CELL]0.003
aberrant TYMS *tax/plat−1.2000.433[EMPTY_CELL][EMPTY_CELL]0.006
Subgroup B(1st line, chemo-naïve)
Age−0.0020.010[EMPTY_CELL]0.959-0.9980.034
TYMS[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
aberrant vs. normal0.5390.255[EMPTY_CELL]1.040-2.8240.034
Treatment[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
platinum vs. taxanes0.2930.382[EMPTY_CELL]0.0633-2.8360.444
tax/plat vs. taxanes−0.1290.285[EMPTY_CELL]0.502-1.5370.650
other vs. taxanes−6.6310.439[EMPTY_CELL]0.225-1.2580.151
aberrant TYMS*platinum−1.7190.551[EMPTY_CELL][EMPTY_CELL]0.002
aberrant TYMS*tax/plat−1.2330.420[EMPTY_CELL][EMPTY_CELL]0.003
aberrant TYMS *othertreatment−1.3750.642[EMPTY_CELL][EMPTY_CELL]0.032
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"PFS\", \"bbox\": [153, 4, 167, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Parameter\", \"bbox\": [84, 17, 122, 26]}, {\"cell\": \"SE\", \"bbox\": [127, 17, 137, 26]}, {\"cell\": \"HR\", \"bbox\": [145, 17, 157, 26]}, {\"cell\": \"95%CI\", \"bbox\": [170, 17, 194, 26]}, {\"cell\": \"WAld’s p\", \"bbox\": [204, 17, 236, 26]}, {\"cell\": \"Subgroup A(1st line, chemo-naïve)\", \"bbox\": [1, 30, 123, 40]}, {\"cell\": \"Age\", \"bbox\": [1, 44, 15, 54]}, {\"cell\": \"−0.028\", \"bbox\": [91, 44, 114, 54]}, {\"cell\": \"0.011\", \"bbox\": [122, 44, 141, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [142, 44, 160, 54]}, {\"cell\": \"0.952-0.994\", \"bbox\": [163, 44, 201, 54]}, {\"cell\": \"0.012\", \"bbox\": [211, 44, 229, 54]}, {\"cell\": \"TYMS\", \"bbox\": [1, 58, 20, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" aberrant vs. normal\", \"bbox\": [4, 72, 68, 82]}, {\"cell\": \"0.577\", \"bbox\": [93, 72, 112, 82]}, {\"cell\": \"0.253\", \"bbox\": [122, 72, 141, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [142, 72, 160, 82]}, {\"cell\": \"1.084-2.923\", \"bbox\": [163, 72, 201, 82]}, {\"cell\": \"0.563\", \"bbox\": [211, 72, 229, 82]}, {\"cell\": \"Treatment\", \"bbox\": [1, 86, 35, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" platinum vs. taxanes\", \"bbox\": [4, 100, 72, 110]}, {\"cell\": \"0.235\", \"bbox\": [93, 100, 112, 110]}, {\"cell\": \"0.407\", \"bbox\": [122, 100, 141, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [142, 100, 160, 110]}, {\"cell\": \"0.570-2.811\", \"bbox\": [163, 100, 201, 110]}, {\"cell\": \"0.563\", \"bbox\": [211, 100, 229, 110]}, {\"cell\": \" tax/plat vs. taxanes\", \"bbox\": [4, 114, 67, 124]}, {\"cell\": \"−0.220\", \"bbox\": [91, 114, 114, 124]}, {\"cell\": \"0.303\", \"bbox\": [122, 114, 141, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [142, 114, 160, 124]}, {\"cell\": \"0.443-1.452\", \"bbox\": [163, 114, 201, 124]}, {\"cell\": \"0.467\", \"bbox\": [211, 114, 229, 124]}, {\"cell\": \" other vs. taxanes\", \"bbox\": [4, 128, 60, 138]}, {\"cell\": \"0.088\", \"bbox\": [93, 128, 112, 138]}, {\"cell\": \"0.376\", \"bbox\": [122, 128, 141, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [142, 128, 160, 138]}, {\"cell\": \"0.522-2.282\", \"bbox\": [163, 128, 201, 138]}, {\"cell\": \"0.816\", \"bbox\": [211, 128, 229, 138]}, {\"cell\": \"aberrant TYMS *platinum\", \"bbox\": [1, 142, 83, 152]}, {\"cell\": \"−1,687\", \"bbox\": [91, 142, 114, 152]}, {\"cell\": \"0.564\", \"bbox\": [122, 142, 141, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.003\", \"bbox\": [211, 142, 229, 152]}, {\"cell\": \"aberrant TYMS *tax/plat\", \"bbox\": [1, 156, 79, 166]}, {\"cell\": \"−1.200\", \"bbox\": [91, 156, 114, 166]}, {\"cell\": \"0.433\", \"bbox\": [122, 156, 141, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.006\", \"bbox\": [211, 156, 229, 166]}, {\"cell\": \"Subgroup B(1st line, chemo-naïve)\", \"bbox\": [1, 170, 122, 180]}, {\"cell\": \"Age\", \"bbox\": [1, 184, 15, 194]}, {\"cell\": \"−0.002\", \"bbox\": [91, 184, 114, 194]}, {\"cell\": \"0.010\", \"bbox\": [122, 184, 141, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [142, 184, 160, 194]}, {\"cell\": \"0.959-0.998\", \"bbox\": [163, 184, 201, 194]}, {\"cell\": \"0.034\", \"bbox\": [211, 184, 229, 194]}, {\"cell\": \"TYMS\", \"bbox\": [1, 198, 20, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" aberrant vs. normal\", \"bbox\": [4, 212, 68, 222]}, {\"cell\": \"0.539\", \"bbox\": [93, 212, 112, 222]}, {\"cell\": \"0.255\", \"bbox\": [122, 212, 141, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [142, 212, 160, 222]}, {\"cell\": \"1.040-2.824\", \"bbox\": [163, 212, 201, 222]}, {\"cell\": \"0.034\", \"bbox\": [211, 212, 229, 222]}, {\"cell\": \"Treatment\", \"bbox\": [1, 226, 35, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" platinum vs. taxanes\", \"bbox\": [4, 240, 72, 250]}, {\"cell\": \"0.293\", \"bbox\": [93, 240, 112, 250]}, {\"cell\": \"0.382\", \"bbox\": [122, 240, 141, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [142, 240, 160, 250]}, {\"cell\": \"0.0633-2.836\", \"bbox\": [161, 240, 203, 250]}, {\"cell\": \"0.444\", \"bbox\": [211, 240, 229, 250]}, {\"cell\": \" tax/plat vs. taxanes\", \"bbox\": [4, 254, 67, 264]}, {\"cell\": \"−0.129\", \"bbox\": [91, 254, 114, 264]}, {\"cell\": \"0.285\", \"bbox\": [122, 254, 141, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [142, 254, 160, 264]}, {\"cell\": \"0.502-1.537\", \"bbox\": [163, 254, 201, 264]}, {\"cell\": \"0.650\", \"bbox\": [211, 254, 229, 264]}, {\"cell\": \" other vs. taxanes\", \"bbox\": [4, 268, 60, 278]}, {\"cell\": \"−6.631\", \"bbox\": [91, 268, 114, 278]}, {\"cell\": \"0.439\", \"bbox\": [122, 268, 141, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [142, 268, 160, 278]}, {\"cell\": \"0.225-1.258\", \"bbox\": [163, 268, 201, 278]}, {\"cell\": \"0.151\", \"bbox\": [211, 268, 229, 278]}, {\"cell\": \"aberrant TYMS*platinum\", \"bbox\": [1, 282, 81, 292]}, {\"cell\": \"−1.719\", \"bbox\": [91, 282, 114, 292]}, {\"cell\": \"0.551\", \"bbox\": [122, 282, 141, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.002\", \"bbox\": [211, 282, 229, 292]}, {\"cell\": \"aberrant TYMS*tax/plat\", \"bbox\": [1, 296, 76, 306]}, {\"cell\": \"−1.233\", \"bbox\": [91, 296, 114, 306]}, {\"cell\": \"0.420\", \"bbox\": [122, 296, 141, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.003\", \"bbox\": [211, 296, 229, 306]}, {\"cell\": \"aberrant TYMS *othertreatment\", \"bbox\": [1, 310, 71, 329]}, {\"cell\": \"−1.375\", \"bbox\": [91, 310, 114, 320]}, {\"cell\": \"0.642\", \"bbox\": [122, 310, 141, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.032\", \"bbox\": [211, 310, 229, 320]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3503623_012_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Variable[EMPTY_CELL]% initiating othersUnadjusted OR (95%CI)Adjusted OR (95%CI)
Sex[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Male73.2[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Female35.00.20 (0.07–0.52)[EMPTY_CELL]
Employed[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]No75.6[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Yes45.70.27 (0.13–0.58)[EMPTY_CELL]
IDU friends at time of initiation[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]No40.6[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Yes76.14.65 (2.10–10.30)[EMPTY_CELL]
Using alcohol around time of initiation[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]No47.5[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Yes74.83.29 (1.61–6.73)[EMPTY_CELL]
Taught to inject at initiation[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]No58.1[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Yes74.52.10 (1.12–3.97)[EMPTY_CELL]
Paid for drug at initiation[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]No79.4[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Yes58.90.37 (0.20–0.70)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Variable\", \"bbox\": [4, 5, 39, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"% initiating others\", \"bbox\": [214, 5, 285, 14]}, {\"cell\": \"Unadjusted OR (95%CI)\", \"bbox\": [300, 5, 394, 14]}, {\"cell\": \"Adjusted OR (95%CI)\", \"bbox\": [409, 5, 493, 14]}, {\"cell\": \"Sex\", \"bbox\": [4, 27, 21, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Male\", \"bbox\": [186, 37, 204, 47]}, {\"cell\": \"73.2\", \"bbox\": [241, 37, 258, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [445, 37, 457, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Female\", \"bbox\": [179, 47, 204, 57]}, {\"cell\": \"35.0\", \"bbox\": [241, 47, 258, 57]}, {\"cell\": \"0.20 (0.07–0.52)\", \"bbox\": [319, 47, 375, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [423, 47, 479, 57]}, {\"cell\": \"Employed\", \"bbox\": [4, 58, 45, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No\", \"bbox\": [191, 68, 204, 77]}, {\"cell\": \"75.6\", \"bbox\": [241, 68, 258, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [445, 68, 457, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Yes\", \"bbox\": [190, 78, 204, 88]}, {\"cell\": \"45.7\", \"bbox\": [241, 78, 258, 88]}, {\"cell\": \"0.27 (0.13–0.58)\", \"bbox\": [319, 78, 375, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [423, 78, 479, 88]}, {\"cell\": \"IDU friends at time of initiation\", \"bbox\": [4, 88, 128, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No\", \"bbox\": [191, 99, 204, 108]}, {\"cell\": \"40.6\", \"bbox\": [241, 99, 258, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [445, 99, 457, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Yes\", \"bbox\": [190, 109, 204, 118]}, {\"cell\": \"76.1\", \"bbox\": [241, 109, 258, 118]}, {\"cell\": \"4.65 (2.10–10.30)\", \"bbox\": [316, 109, 377, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 109, 481, 118]}, {\"cell\": \"Using alcohol around time of initiation\", \"bbox\": [4, 119, 154, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No\", \"bbox\": [191, 129, 204, 139]}, {\"cell\": \"47.5\", \"bbox\": [241, 129, 258, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [445, 129, 457, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Yes\", \"bbox\": [190, 140, 204, 149]}, {\"cell\": \"74.8\", \"bbox\": [241, 140, 258, 149]}, {\"cell\": \"3.29 (1.61–6.73)\", \"bbox\": [319, 140, 375, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [423, 140, 479, 149]}, {\"cell\": \"Taught to inject at initiation\", \"bbox\": [4, 150, 115, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No\", \"bbox\": [191, 160, 204, 170]}, {\"cell\": \"58.1\", \"bbox\": [241, 160, 258, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [445, 160, 457, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Yes\", \"bbox\": [190, 170, 204, 180]}, {\"cell\": \"74.5\", \"bbox\": [241, 170, 258, 180]}, {\"cell\": \"2.10 (1.12–3.97)\", \"bbox\": [319, 170, 375, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [423, 170, 479, 180]}, {\"cell\": \"Paid for drug at initiation\", \"bbox\": [4, 181, 103, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No\", \"bbox\": [191, 191, 204, 200]}, {\"cell\": \"79.4\", \"bbox\": [241, 191, 258, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [445, 191, 457, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Yes\", \"bbox\": [190, 201, 204, 211]}, {\"cell\": \"58.9\", \"bbox\": [241, 201, 258, 211]}, {\"cell\": \"0.37 (0.20–0.70)\", \"bbox\": [319, 201, 375, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [423, 201, 479, 211]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2254384_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
EffectPearson Chi-SquareP ValueOR* (CI 95%)
Maternal Age Group ≤ 30 years†[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Wasting (Non-EBF vs. EBF)1.580[EMPTY_CELL]2.875 (0.526- 15.729)
Stunting and Wasting (Non-EBF vs. EBF)0.728[EMPTY_CELL]2.667 (0.260- 27.381)
Stunting (Non-EBF vs. EBF)0.910[EMPTY_CELL]1.909 (0.499- 7.298)
Maternal Age Group >30 years†[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Wasting (Non-EBF vs. EBF)3.945[EMPTY_CELL]3.424 (0.979- 11.969)
Stunting and Wasting (Non-EBF vs. EBF)1.337[EMPTY_CELL]2.597 (0.493- 13.677)
Stunting (Non-EBF vs. EBF)0.450[EMPTY_CELL]1.414 (0.513- 3.900)
\", \"cells\": [{\"cell\": \"Effect\", \"bbox\": [1, 3, 26, 13]}, {\"cell\": \"Pearson Chi-Square\", \"bbox\": [230, 3, 276, 22]}, {\"cell\": \"P Value\", \"bbox\": [292, 3, 325, 13]}, {\"cell\": \"OR* (CI 95%)\", \"bbox\": [360, 3, 401, 22]}, {\"cell\": \"Maternal Age Group ≤ 30 years†\", \"bbox\": [1, 34, 133, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Wasting (Non-EBF vs. EBF)\", \"bbox\": [1, 46, 98, 56]}, {\"cell\": \"1.580\", \"bbox\": [230, 46, 252, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 46, 315, 56]}, {\"cell\": \"2.875 (0.526- 15.729)\", \"bbox\": [360, 46, 440, 56]}, {\"cell\": \"Stunting and Wasting (Non-EBF vs. EBF)\", \"bbox\": [1, 57, 146, 66]}, {\"cell\": \"0.728\", \"bbox\": [230, 57, 252, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 57, 315, 66]}, {\"cell\": \"2.667 (0.260- 27.381)\", \"bbox\": [360, 57, 440, 66]}, {\"cell\": \"Stunting (Non-EBF vs. EBF)\", \"bbox\": [1, 67, 99, 77]}, {\"cell\": \"0.910\", \"bbox\": [230, 67, 252, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 67, 315, 77]}, {\"cell\": \"1.909 (0.499- 7.298)\", \"bbox\": [360, 67, 436, 77]}, {\"cell\": \"Maternal Age Group >30 years†\", \"bbox\": [1, 75, 131, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Wasting (Non-EBF vs. EBF)\", \"bbox\": [1, 87, 98, 97]}, {\"cell\": \"3.945\", \"bbox\": [230, 87, 252, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 87, 315, 97]}, {\"cell\": \"3.424 (0.979- 11.969)\", \"bbox\": [360, 87, 440, 97]}, {\"cell\": \"Stunting and Wasting (Non-EBF vs. EBF)\", \"bbox\": [1, 98, 151, 108]}, {\"cell\": \"1.337\", \"bbox\": [230, 98, 252, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 98, 315, 108]}, {\"cell\": \"2.597 (0.493- 13.677)\", \"bbox\": [360, 98, 440, 108]}, {\"cell\": \"Stunting (Non-EBF vs. EBF)\", \"bbox\": [1, 108, 99, 118]}, {\"cell\": \"0.450\", \"bbox\": [230, 108, 252, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 108, 315, 118]}, {\"cell\": \"1.414 (0.513- 3.900)\", \"bbox\": [360, 108, 436, 118]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4024436_007_03.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
PathwaySet sizeSubset sizeIdentified genes
Cytokine Network17[EMPTY_CELL]IL13, IL4, IL9, IL5, IL2
Jak-STAT signaling pathway126[EMPTY_CELL]IL13, IL23R, IFNE1, STAT2, IL12B, IL4, IL9, IL29, IL5, IL6, IL5RA, IL2, PIK3R5, PIK3R2, EP300, PIK3CG, CSF2RB, TSLP, CNTFR, IFNA21, OSMR, IFNGR1, PIAS4, PIK3CB, SOCS4
Dendritic cells in regulating TH1 and TH2 Development19[EMPTY_CELL]IL13, IL4, IL5, ANPEP
Cytokine-cytokine receptor interaction208[EMPTY_CELL]IL13, IL23A, IL23R, IL1R2, IL12B, IFNE1, IL4, IFNA21, PF4V1, IL9, IL29, INHBA, IL5, FAS, OSMR, CCL22, FLT3, TNFRSF21, CSF1, CXCL11, CNTFR, IL1B, IL18RAP, TGFB2, CCL23, IL8RB, IL5RA, IL6, IL11RA, IL2, TNFRSF19, EGF, CCL3, IFNAR2, CCR6, CSF1R, TNFRSF8, PDGFRA, CSF2RB, TNFSF8, CCL1, TSLP, TNFRSF1A, KDR, IL17RB, IFNGR1, TNFRSF11B, IL22RA2, PDGFRB
Role of BRCA1, BRCA2 and ATR in Cancer Susceptibility21[EMPTY_CELL]RAD50, BRCA2, RAD9A
\", \"cells\": [{\"cell\": \"Pathway\", \"bbox\": [1, 4, 32, 14]}, {\"cell\": \"Set size\", \"bbox\": [125, 4, 139, 22]}, {\"cell\": \"Subset size\", \"bbox\": [146, 4, 170, 22]}, {\"cell\": \"Identified genes\", \"bbox\": [176, 4, 231, 14]}, {\"cell\": \"Cytokine Network\", \"bbox\": [1, 26, 60, 36]}, {\"cell\": \"17\", \"bbox\": [127, 26, 137, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [152, 26, 165, 36]}, {\"cell\": \"IL13, IL4, IL9, IL5, IL2\", \"bbox\": [176, 26, 242, 36]}, {\"cell\": \"Jak-STAT signaling pathway\", \"bbox\": [1, 38, 91, 48]}, {\"cell\": \"126\", \"bbox\": [125, 38, 139, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 38, 166, 48]}, {\"cell\": \"IL13, IL23R, IFNE1, STAT2, IL12B, IL4, IL9, IL29, IL5, IL6, IL5RA, IL2, PIK3R5, PIK3R2, EP300, PIK3CG, CSF2RB, TSLP, CNTFR, IFNA21, OSMR, IFNGR1, PIAS4, PIK3CB, SOCS4\", \"bbox\": [176, 38, 482, 57]}, {\"cell\": \"Dendritic cells in regulating TH1 and TH2 Development\", \"bbox\": [1, 59, 106, 78]}, {\"cell\": \"19\", \"bbox\": [127, 59, 137, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [152, 59, 165, 68]}, {\"cell\": \"IL13, IL4, IL5, ANPEP\", \"bbox\": [176, 59, 242, 68]}, {\"cell\": \"Cytokine-cytokine receptor interaction\", \"bbox\": [1, 80, 88, 98]}, {\"cell\": \"208\", \"bbox\": [125, 80, 139, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 80, 166, 89]}, {\"cell\": \"IL13, IL23A, IL23R, IL1R2, IL12B, IFNE1, IL4, IFNA21, PF4V1, IL9, IL29, INHBA, IL5, FAS, OSMR, CCL22, FLT3, TNFRSF21, CSF1, CXCL11, CNTFR, IL1B, IL18RAP, TGFB2, CCL23, IL8RB, IL5RA, IL6, IL11RA, IL2, TNFRSF19, EGF, CCL3, IFNAR2, CCR6, CSF1R, TNFRSF8, PDGFRA, CSF2RB, TNFSF8, CCL1, TSLP, TNFRSF1A, KDR, IL17RB, IFNGR1, TNFRSF11B, IL22RA2, PDGFRB\", \"bbox\": [176, 80, 476, 116]}, {\"cell\": \"Role of BRCA1, BRCA2 and ATR in Cancer Susceptibility\", \"bbox\": [1, 119, 112, 137]}, {\"cell\": \"21\", \"bbox\": [127, 119, 137, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [152, 119, 165, 128]}, {\"cell\": \"RAD50, BRCA2, RAD9A\", \"bbox\": [176, 119, 250, 128]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3033801_010_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Patient APatient BPig unwashedPig washed 1Pig washed 2Pig washed 3Pig washed pooled
Host filtering using Bowtie 2 alignment
Host-aligned read percentage55.68 %22.51 %14.20 %10.99 %43.98 %[EMPTY_CELL]N/A
Scaffolds
Scaffold N5029,78745,9176352683522,475[EMPTY_CELL]4883
Largest scaffold50938679431188,812681,477423,133[EMPTY_CELL]299,570
Total assembled bases68,937,51961,661,61369,459,33368,875,21261,832,214[EMPTY_CELL]75,837,484
No of scaffolds99,17866,59147,952149,23883,245[EMPTY_CELL]212,580
Scaffolds (≥500 bp)
Major scaffold N5043,12262,417757417,03430,929[EMPTY_CELL]-
Largest scaffold509,386794,31188,812681,477423,133[EMPTY_CELL]-
Total assembled bases56,795,38553,697,99062,853,85747,516,44952,301,800[EMPTY_CELL]-
No of scaffolds427631571723675865102[EMPTY_CELL]-
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Patient A\", \"bbox\": [111, 4, 142, 13]}, {\"cell\": \"Patient B\", \"bbox\": [156, 4, 186, 13]}, {\"cell\": \"Pig unwashed\", \"bbox\": [200, 4, 248, 13]}, {\"cell\": \"Pig washed 1\", \"bbox\": [257, 4, 302, 13]}, {\"cell\": \"Pig washed 2\", \"bbox\": [311, 4, 357, 13]}, {\"cell\": \"Pig washed 3\", \"bbox\": [366, 4, 411, 13]}, {\"cell\": \"Pig washed pooled\", \"bbox\": [420, 4, 484, 13]}, {\"cell\": \"Host filtering using Bowtie 2 alignment\", \"bbox\": [0, 17, 129, 27]}, {\"cell\": \" Host-aligned read percentage\", \"bbox\": [4, 31, 102, 41]}, {\"cell\": \"55.68 %\", \"bbox\": [111, 31, 138, 41]}, {\"cell\": \"22.51 %\", \"bbox\": [156, 31, 183, 41]}, {\"cell\": \"14.20 %\", \"bbox\": [200, 31, 227, 41]}, {\"cell\": \"10.99 %\", \"bbox\": [257, 31, 284, 41]}, {\"cell\": \"43.98 %\", \"bbox\": [311, 31, 338, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 31, 393, 41]}, {\"cell\": \"N/A\", \"bbox\": [420, 31, 435, 41]}, {\"cell\": \"Scaffolds\", \"bbox\": [0, 45, 31, 55]}, {\"cell\": \" Scaffold N50\", \"bbox\": [4, 59, 47, 69]}, {\"cell\": \"29,787\", \"bbox\": [111, 59, 134, 69]}, {\"cell\": \"45,917\", \"bbox\": [156, 59, 178, 69]}, {\"cell\": \"6352\", \"bbox\": [200, 59, 218, 69]}, {\"cell\": \"6835\", \"bbox\": [257, 59, 274, 69]}, {\"cell\": \"22,475\", \"bbox\": [311, 59, 334, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 59, 388, 69]}, {\"cell\": \"4883\", \"bbox\": [420, 59, 438, 69]}, {\"cell\": \" Largest scaffold\", \"bbox\": [4, 73, 56, 83]}, {\"cell\": \"509386\", \"bbox\": [111, 73, 136, 83]}, {\"cell\": \"794311\", \"bbox\": [156, 73, 181, 83]}, {\"cell\": \"88,812\", \"bbox\": [200, 73, 223, 83]}, {\"cell\": \"681,477\", \"bbox\": [257, 73, 283, 83]}, {\"cell\": \"423,133\", \"bbox\": [311, 73, 338, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 73, 392, 83]}, {\"cell\": \"299,570\", \"bbox\": [420, 73, 447, 83]}, {\"cell\": \" Total assembled bases\", \"bbox\": [4, 87, 78, 97]}, {\"cell\": \"68,937,519\", \"bbox\": [111, 87, 147, 97]}, {\"cell\": \"61,661,613\", \"bbox\": [156, 87, 191, 97]}, {\"cell\": \"69,459,333\", \"bbox\": [200, 87, 236, 97]}, {\"cell\": \"68,875,212\", \"bbox\": [257, 87, 292, 97]}, {\"cell\": \"61,832,214\", \"bbox\": [311, 87, 347, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 87, 401, 97]}, {\"cell\": \"75,837,484\", \"bbox\": [420, 87, 456, 97]}, {\"cell\": \" No of scaffolds\", \"bbox\": [4, 101, 54, 111]}, {\"cell\": \"99,178\", \"bbox\": [111, 101, 134, 111]}, {\"cell\": \"66,591\", \"bbox\": [156, 101, 178, 111]}, {\"cell\": \"47,952\", \"bbox\": [200, 101, 223, 111]}, {\"cell\": \"149,238\", \"bbox\": [257, 101, 283, 111]}, {\"cell\": \"83,245\", \"bbox\": [311, 101, 334, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 101, 388, 111]}, {\"cell\": \"212,580\", \"bbox\": [420, 101, 447, 111]}, {\"cell\": \"Scaffolds (≥500 bp)\", \"bbox\": [0, 115, 64, 125]}, {\"cell\": \" Major scaffold N50\", \"bbox\": [4, 129, 66, 139]}, {\"cell\": \"43,122\", \"bbox\": [111, 129, 134, 139]}, {\"cell\": \"62,417\", \"bbox\": [156, 129, 178, 139]}, {\"cell\": \"7574\", \"bbox\": [200, 129, 218, 139]}, {\"cell\": \"17,034\", \"bbox\": [257, 129, 279, 139]}, {\"cell\": \"30,929\", \"bbox\": [311, 129, 334, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 129, 388, 139]}, {\"cell\": \"-\", \"bbox\": [420, 129, 425, 139]}, {\"cell\": \" Largest scaffold\", \"bbox\": [4, 143, 56, 153]}, {\"cell\": \"509,386\", \"bbox\": [111, 143, 138, 153]}, {\"cell\": \"794,311\", \"bbox\": [156, 143, 182, 153]}, {\"cell\": \"88,812\", \"bbox\": [200, 143, 223, 153]}, {\"cell\": \"681,477\", \"bbox\": [257, 143, 283, 153]}, {\"cell\": \"423,133\", \"bbox\": [311, 143, 338, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 143, 392, 153]}, {\"cell\": \"-\", \"bbox\": [420, 143, 425, 153]}, {\"cell\": \" Total assembled bases\", \"bbox\": [4, 157, 78, 167]}, {\"cell\": \"56,795,385\", \"bbox\": [111, 157, 147, 167]}, {\"cell\": \"53,697,990\", \"bbox\": [156, 157, 191, 167]}, {\"cell\": \"62,853,857\", \"bbox\": [200, 157, 236, 167]}, {\"cell\": \"47,516,449\", \"bbox\": [257, 157, 292, 167]}, {\"cell\": \"52,301,800\", \"bbox\": [311, 157, 347, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 157, 401, 167]}, {\"cell\": \"-\", \"bbox\": [420, 157, 425, 167]}, {\"cell\": \" No of scaffolds\", \"bbox\": [4, 171, 54, 181]}, {\"cell\": \"4276\", \"bbox\": [111, 171, 129, 181]}, {\"cell\": \"3157\", \"bbox\": [156, 171, 173, 181]}, {\"cell\": \"17236\", \"bbox\": [200, 171, 221, 181]}, {\"cell\": \"7586\", \"bbox\": [257, 171, 274, 181]}, {\"cell\": \"5102\", \"bbox\": [311, 171, 329, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 171, 383, 181]}, {\"cell\": \"-\", \"bbox\": [420, 171, 425, 181]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4890329_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Immunosensor TypeCommon MaterialsReferences
[EMPTY_CELL]Evanescent waveQuartz, glass, graphene oxide (GO) sheets, hydrogels[24,29,30,31]
[EMPTY_CELL]Silver, gold, copper, aluminum
[EMPTY_CELL]ConductiveCarbon, indium tin oxide, carbon nanotube, hydrogels, polythiophene[32,33,34,35]
[EMPTY_CELL]Graphite, Lipid, Platinum, Gold, Nickel
[EMPTY_CELL]Bulk acoustic waveAluminium phosphate, aluminium nitride, zinc oxide, crystalized topaz, crystalized tourmaline, barium titanate, gallium orthophosphate, lead titanate[27,28,36]
[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Immunosensor Type\", \"bbox\": [47, 4, 123, 14]}, {\"cell\": \"Common Materials\", \"bbox\": [236, 4, 307, 14]}, {\"cell\": \"References\", \"bbox\": [385, 4, 426, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [27, 29, 54, 39]}, {\"cell\": \"Evanescent wave\", \"bbox\": [93, 18, 155, 28]}, {\"cell\": \"Quartz, glass, graphene oxide (GO) sheets, hydrogels\", \"bbox\": [178, 18, 365, 28]}, {\"cell\": \"[24,29,30,31]\", \"bbox\": [387, 30, 424, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [94, 32, 154, 52]}, {\"cell\": \"Silver, gold, copper, aluminum\", \"bbox\": [217, 37, 326, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 69, 69, 79]}, {\"cell\": \"Conductive\", \"bbox\": [102, 60, 145, 70]}, {\"cell\": \"Carbon, indium tin oxide, carbon nanotube, hydrogels, polythiophene\", \"bbox\": [175, 56, 369, 75]}, {\"cell\": \"[32,33,34,35]\", \"bbox\": [392, 68, 419, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [97, 79, 150, 89]}, {\"cell\": \"Graphite, Lipid, Platinum, Gold, Nickel\", \"bbox\": [202, 79, 342, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [18, 103, 64, 113]}, {\"cell\": \"Bulk acoustic wave\", \"bbox\": [89, 96, 158, 106]}, {\"cell\": \"Aluminium phosphate, aluminium nitride, zinc oxide, crystalized topaz, crystalized tourmaline, barium titanate, gallium orthophosphate, lead titanate\", \"bbox\": [172, 93, 372, 123]}, {\"cell\": \"[27,28,36]\", \"bbox\": [388, 102, 423, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [84, 110, 161, 120]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5977292_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]ToolsMMAS-8BMQABQDRAWM-DRAW
Domain (Description)[EMPTY_CELL]
Patient-relatedLack of belief in benefit of treatmentLack of insight into the illnessBelief in medication and complementary and alternative medicineTrust in health care professionals√√[EMPTY_CELL][EMPTY_CELL]√
Therapy-relatedStigmaTreatment interfering with lifestyleComplexity of treatmentNumber of medications[EMPTY_CELL][EMPTY_CELL]√[EMPTY_CELL]√
Condition-relatedChronicAsymptomaticMental health conditionsNumber of comorbid conditionsDuration of diseasePresence of depressive symptom√[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]√
SocioeconomicGenderEducationFunctional health literacy levelSocial supportCompeting priorityHealth insuranceAccess to medicationCost of medication[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]√
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Tools\", \"bbox\": [205, 4, 224, 13]}, {\"cell\": \"MMAS-8\", \"bbox\": [235, 9, 267, 18]}, {\"cell\": \"BMQ\", \"bbox\": [283, 8, 303, 17]}, {\"cell\": \"ABQ\", \"bbox\": [322, 8, 341, 17]}, {\"cell\": \"DRAW\", \"bbox\": [358, 9, 383, 18]}, {\"cell\": \"M-DRAW\", \"bbox\": [394, 9, 429, 18]}, {\"cell\": \"Domain (Description)\", \"bbox\": [5, 13, 79, 22]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Patient-related\", \"bbox\": [14, 43, 63, 52]}, {\"cell\": \"Lack of belief in benefit of treatmentLack of insight into the illnessBelief in medication and complementary and alternative medicineTrust in health care professionals\", \"bbox\": [84, 25, 215, 70]}, {\"cell\": \"√\", \"bbox\": [247, 43, 255, 52]}, {\"cell\": \"√\", \"bbox\": [288, 43, 297, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 43, 375, 52]}, {\"cell\": \"√\", \"bbox\": [405, 43, 414, 52]}, {\"cell\": \"Therapy-related\", \"bbox\": [12, 86, 65, 95]}, {\"cell\": \"StigmaTreatment interfering with lifestyleComplexity of treatmentNumber of medications\", \"bbox\": [93, 73, 206, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"√\", \"bbox\": [327, 86, 336, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 86, 375, 95]}, {\"cell\": \"√\", \"bbox\": [406, 86, 414, 95]}, {\"cell\": \"Condition-related\", \"bbox\": [9, 130, 68, 139]}, {\"cell\": \"ChronicAsymptomaticMental health conditionsNumber of comorbid conditionsDuration of diseasePresence of depressive symptom\", \"bbox\": [85, 112, 213, 156]}, {\"cell\": \"√\", \"bbox\": [247, 129, 255, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"√\", \"bbox\": [406, 129, 414, 139]}, {\"cell\": \"Socioeconomic\", \"bbox\": [14, 190, 63, 200]}, {\"cell\": \"GenderEducationFunctional health literacy levelSocial supportCompeting priorityHealth insuranceAccess to medicationCost of medication\", \"bbox\": [99, 160, 199, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 190, 375, 200]}, {\"cell\": \"√\", \"bbox\": [405, 190, 414, 200]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5622364_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
CharacteristicsNon-GERD SubjectsN = 16GERD SubjectsN = 6p
Mean Age in Years (SD)[EMPTY_CELL]12.5 (4.1)NS
Abdominal Pain Composite Score (Frequency/Week X Severity)[EMPTY_CELL]28.8 (21.4).029
Fried Food Consumption/Week[EMPTY_CELL]4.2 (8.3)NS
Spicy Food Consumption/Week[EMPTY_CELL]4.8 (9.7)NS
Nausea/Week[EMPTY_CELL]6.6 (8.1)NS
Vomiting/Week[EMPTY_CELL]1.0 (1.5)NS
Heartburn/Week[EMPTY_CELL]1.0 (3.4)NS
Burping/Week[EMPTY_CELL]0.7 (1.6)NS
Poor Sleep/Week[EMPTY_CELL]4.7 (11.4)NS
Brush AM/Week[EMPTY_CELL]5.0 (3.1)NS
Brush PM/Week[EMPTY_CELL]3.8 (3.5)NS
Night Bruxing/Week[EMPTY_CELL]2.5 (3.5)NS
Snacking/Week[EMPTY_CELL]7.8 (5.0)NS
Soda/Week[EMPTY_CELL]3.6 (2.1)NS
Antacids/Week[EMPTY_CELL]0.9 (1.6)NS
\", \"cells\": [{\"cell\": \"Characteristics\", \"bbox\": [1, 4, 48, 13]}, {\"cell\": \"Non-GERD SubjectsN = 16\", \"bbox\": [255, 4, 320, 22]}, {\"cell\": \"GERD SubjectsN = 6\", \"bbox\": [370, 4, 419, 22]}, {\"cell\": \"p\", \"bbox\": [470, 4, 476, 13]}, {\"cell\": \"Mean Age in Years (SD)\", \"bbox\": [1, 26, 78, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 26, 285, 36]}, {\"cell\": \"12.5 (4.1)\", \"bbox\": [370, 26, 401, 36]}, {\"cell\": \"NS\", \"bbox\": [470, 26, 480, 36]}, {\"cell\": \"Abdominal Pain Composite Score (Frequency/Week X Severity)\", \"bbox\": [1, 40, 204, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 40, 285, 50]}, {\"cell\": \"28.8 (21.4)\", \"bbox\": [370, 40, 404, 50]}, {\"cell\": \".029\", \"bbox\": [470, 40, 484, 50]}, {\"cell\": \"Fried Food Consumption/Week\", \"bbox\": [1, 54, 103, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 54, 282, 64]}, {\"cell\": \"4.2 (8.3)\", \"bbox\": [370, 54, 397, 64]}, {\"cell\": \"NS\", \"bbox\": [470, 54, 480, 64]}, {\"cell\": \"Spicy Food Consumption/Week\", \"bbox\": [1, 68, 104, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 68, 282, 78]}, {\"cell\": \"4.8 (9.7)\", \"bbox\": [370, 68, 397, 78]}, {\"cell\": \"NS\", \"bbox\": [470, 68, 480, 78]}, {\"cell\": \"Nausea/Week\", \"bbox\": [1, 82, 46, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 82, 282, 92]}, {\"cell\": \"6.6 (8.1)\", \"bbox\": [370, 82, 397, 92]}, {\"cell\": \"NS\", \"bbox\": [470, 82, 480, 92]}, {\"cell\": \"Vomiting/Week\", \"bbox\": [1, 96, 52, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 96, 282, 106]}, {\"cell\": \"1.0 (1.5)\", \"bbox\": [370, 96, 397, 106]}, {\"cell\": \"NS\", \"bbox\": [470, 96, 480, 106]}, {\"cell\": \"Heartburn/Week\", \"bbox\": [1, 110, 55, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 110, 282, 120]}, {\"cell\": \"1.0 (3.4)\", \"bbox\": [370, 110, 397, 120]}, {\"cell\": \"NS\", \"bbox\": [470, 110, 480, 120]}, {\"cell\": \"Burping/Week\", \"bbox\": [1, 124, 48, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 124, 282, 134]}, {\"cell\": \"0.7 (1.6)\", \"bbox\": [370, 124, 397, 134]}, {\"cell\": \"NS\", \"bbox\": [470, 124, 480, 134]}, {\"cell\": \"Poor Sleep/Week\", \"bbox\": [1, 138, 57, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 138, 282, 148]}, {\"cell\": \"4.7 (11.4)\", \"bbox\": [370, 138, 401, 148]}, {\"cell\": \"NS\", \"bbox\": [470, 138, 480, 148]}, {\"cell\": \"Brush AM/Week\", \"bbox\": [1, 152, 54, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 152, 282, 162]}, {\"cell\": \"5.0 (3.1)\", \"bbox\": [370, 152, 397, 162]}, {\"cell\": \"NS\", \"bbox\": [470, 152, 480, 162]}, {\"cell\": \"Brush PM/Week\", \"bbox\": [1, 166, 53, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 166, 282, 176]}, {\"cell\": \"3.8 (3.5)\", \"bbox\": [370, 166, 397, 176]}, {\"cell\": \"NS\", \"bbox\": [470, 166, 480, 176]}, {\"cell\": \"Night Bruxing/Week\", \"bbox\": [1, 180, 67, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 180, 282, 190]}, {\"cell\": \"2.5 (3.5)\", \"bbox\": [370, 180, 397, 190]}, {\"cell\": \"NS\", \"bbox\": [470, 180, 480, 190]}, {\"cell\": \"Snacking/Week\", \"bbox\": [1, 194, 51, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 194, 282, 204]}, {\"cell\": \"7.8 (5.0)\", \"bbox\": [370, 194, 397, 204]}, {\"cell\": \"NS\", \"bbox\": [470, 194, 480, 204]}, {\"cell\": \"Soda/Week\", \"bbox\": [1, 208, 38, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 208, 282, 218]}, {\"cell\": \"3.6 (2.1)\", \"bbox\": [370, 208, 397, 218]}, {\"cell\": \"NS\", \"bbox\": [470, 208, 480, 218]}, {\"cell\": \"Antacids/Week\", \"bbox\": [1, 222, 50, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 222, 282, 232]}, {\"cell\": \"0.9 (1.6)\", \"bbox\": [370, 222, 397, 232]}, {\"cell\": \"NS\", \"bbox\": [470, 222, 480, 232]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5553729_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
CharacteristicsN (%)Irisin levels (μg/ml)p-value
Tumor size (cm)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
≤2.043 (48.3 %)2.34 ± 0.52[EMPTY_CELL]
2.1–5.031 (34.8 %)2.58 ± 0.59[EMPTY_CELL]
>5.015 (16.9 %)2.65 ± 0.57[EMPTY_CELL]
Grade[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
I14 (14.3 %)2.35 ± 0.59[EMPTY_CELL]
II29 (29.6 %)2.42 ± 0.59[EMPTY_CELL]
III55 (56.1 %)2.54 ± 0.56[EMPTY_CELL]
Stage[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
I21 (30.4 %)2.31 ± 0.54[EMPTY_CELL]
II28 (40.6 %)2.52 ± 0.58[EMPTY_CELL]
III20 (29.0 %)2.75 ± 0.50a[EMPTY_CELL]
Lymph nodes[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Negative40 (56.3 %)2.44 ± 0.58[EMPTY_CELL]
Positive31 (43.7 %)2.66 ± 0.53[EMPTY_CELL]
Concurrent DCIS[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
No34 (34.0 %)2.37 ± 0.58[EMPTY_CELL]
Yes66 (66.0 %)2.54 ± 0.56[EMPTY_CELL]
ER status[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Negative24 (25.3 %)2.46 ± 0.58[EMPTY_CELL]
Positive71 (74.7 %)2.46 ± 0.56[EMPTY_CELL]
PR status[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Negative30 (29.7 %)2.47 ± 0.57[EMPTY_CELL]
Positive65 (68.4 %)2.46 ± 0.57[EMPTY_CELL]
c-erb-B2 status[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Negative64 (68.1 %)2.41 ± 0.52[EMPTY_CELL]
Positive30 (31.9 %)2.56 ± 0.66[EMPTY_CELL]
Ki67 Value[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
<10 %23 (24.5 %)2.27 ± 0.54[EMPTY_CELL]
10–15 %16 (17.0 %)2.53 ± 0.67[EMPTY_CELL]
16–30 %25 (26.6 %)2.58 ± 0.54[EMPTY_CELL]
>30 %30 (31.9 %)2.49 ± 0.53[EMPTY_CELL]
P53 status[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
<10 %52 (57.8 %)2.45 ± 0.55[EMPTY_CELL]
>10 %38 (42.2 %)2.49 ± 0.57[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Characteristics\", \"bbox\": [1, 5, 48, 14]}, {\"cell\": \"N (%)\", \"bbox\": [74, 5, 94, 14]}, {\"cell\": \"Irisin levels (μg/ml)\", \"bbox\": [130, 5, 193, 14]}, {\"cell\": \"p-value\", \"bbox\": [211, 5, 236, 14]}, {\"cell\": \"Tumor size (cm)\", \"bbox\": [1, 18, 54, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 18, 230, 27]}, {\"cell\": \"≤2.0\", \"bbox\": [1, 32, 17, 41]}, {\"cell\": \"43 (48.3 %)\", \"bbox\": [74, 32, 112, 41]}, {\"cell\": \"2.34 ± 0.52\", \"bbox\": [130, 32, 166, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2.1–5.0\", \"bbox\": [1, 46, 24, 55]}, {\"cell\": \"31 (34.8 %)\", \"bbox\": [74, 46, 112, 55]}, {\"cell\": \"2.58 ± 0.59\", \"bbox\": [130, 46, 166, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \">5.0\", \"bbox\": [1, 60, 16, 69]}, {\"cell\": \"15 (16.9 %)\", \"bbox\": [74, 60, 112, 69]}, {\"cell\": \"2.65 ± 0.57\", \"bbox\": [130, 60, 166, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Grade\", \"bbox\": [1, 74, 21, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [214, 74, 232, 83]}, {\"cell\": \"I\", \"bbox\": [1, 88, 4, 97]}, {\"cell\": \"14 (14.3 %)\", \"bbox\": [74, 88, 112, 97]}, {\"cell\": \"2.35 ± 0.59\", \"bbox\": [130, 88, 166, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"II\", \"bbox\": [1, 102, 6, 111]}, {\"cell\": \"29 (29.6 %)\", \"bbox\": [74, 102, 112, 111]}, {\"cell\": \"2.42 ± 0.59\", \"bbox\": [130, 102, 166, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"III\", \"bbox\": [1, 116, 7, 125]}, {\"cell\": \"55 (56.1 %)\", \"bbox\": [74, 116, 112, 125]}, {\"cell\": \"2.54 ± 0.56\", \"bbox\": [130, 116, 166, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Stage\", \"bbox\": [1, 130, 20, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 130, 230, 139]}, {\"cell\": \"I\", \"bbox\": [1, 144, 4, 153]}, {\"cell\": \"21 (30.4 %)\", \"bbox\": [74, 144, 112, 153]}, {\"cell\": \"2.31 ± 0.54\", \"bbox\": [130, 144, 166, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"II\", \"bbox\": [1, 158, 6, 167]}, {\"cell\": \"28 (40.6 %)\", \"bbox\": [74, 158, 112, 167]}, {\"cell\": \"2.52 ± 0.58\", \"bbox\": [130, 158, 166, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"III\", \"bbox\": [1, 172, 7, 181]}, {\"cell\": \"20 (29.0 %)\", \"bbox\": [74, 172, 112, 181]}, {\"cell\": \"2.75 ± 0.50a\", \"bbox\": [130, 170, 168, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Lymph nodes\", \"bbox\": [1, 186, 47, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 186, 230, 195]}, {\"cell\": \"Negative\", \"bbox\": [1, 200, 31, 209]}, {\"cell\": \"40 (56.3 %)\", \"bbox\": [74, 200, 112, 209]}, {\"cell\": \"2.44 ± 0.58\", \"bbox\": [130, 200, 166, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Positive\", \"bbox\": [1, 214, 27, 223]}, {\"cell\": \"31 (43.7 %)\", \"bbox\": [74, 214, 112, 223]}, {\"cell\": \"2.66 ± 0.53\", \"bbox\": [130, 214, 166, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Concurrent DCIS\", \"bbox\": [1, 228, 56, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 228, 230, 237]}, {\"cell\": \"No\", \"bbox\": [1, 242, 12, 251]}, {\"cell\": \"34 (34.0 %)\", \"bbox\": [74, 242, 112, 251]}, {\"cell\": \"2.37 ± 0.58\", \"bbox\": [130, 242, 166, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Yes\", \"bbox\": [1, 256, 13, 265]}, {\"cell\": \"66 (66.0 %)\", \"bbox\": [74, 256, 112, 265]}, {\"cell\": \"2.54 ± 0.56\", \"bbox\": [130, 256, 166, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"ER status\", \"bbox\": [1, 270, 31, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 270, 230, 279]}, {\"cell\": \"Negative\", \"bbox\": [1, 284, 31, 293]}, {\"cell\": \"24 (25.3 %)\", \"bbox\": [74, 284, 112, 293]}, {\"cell\": \"2.46 ± 0.58\", \"bbox\": [130, 284, 166, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Positive\", \"bbox\": [1, 298, 27, 307]}, {\"cell\": \"71 (74.7 %)\", \"bbox\": [74, 298, 112, 307]}, {\"cell\": \"2.46 ± 0.56\", \"bbox\": [130, 298, 166, 307]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"PR status\", \"bbox\": [1, 312, 31, 321]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 312, 230, 321]}, {\"cell\": \"Negative\", \"bbox\": [1, 326, 31, 335]}, {\"cell\": \"30 (29.7 %)\", \"bbox\": [74, 326, 112, 335]}, {\"cell\": \"2.47 ± 0.57\", \"bbox\": [130, 326, 166, 335]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Positive\", \"bbox\": [1, 340, 27, 349]}, {\"cell\": \"65 (68.4 %)\", \"bbox\": [74, 340, 112, 349]}, {\"cell\": \"2.46 ± 0.57\", \"bbox\": [130, 340, 166, 349]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"c-erb-B2 status\", \"bbox\": [1, 354, 50, 363]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 354, 230, 363]}, {\"cell\": \"Negative\", \"bbox\": [1, 368, 31, 377]}, {\"cell\": \"64 (68.1 %)\", \"bbox\": [74, 368, 112, 377]}, {\"cell\": \"2.41 ± 0.52\", \"bbox\": [130, 368, 166, 377]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Positive\", \"bbox\": [1, 382, 27, 391]}, {\"cell\": \"30 (31.9 %)\", \"bbox\": [74, 382, 112, 391]}, {\"cell\": \"2.56 ± 0.66\", \"bbox\": [130, 382, 166, 391]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ki67 Value\", \"bbox\": [1, 396, 35, 405]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 396, 230, 405]}, {\"cell\": \"<10 %\", \"bbox\": [1, 410, 23, 419]}, {\"cell\": \"23 (24.5 %)\", \"bbox\": [74, 410, 112, 419]}, {\"cell\": \"2.27 ± 0.54\", \"bbox\": [130, 410, 166, 419]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"10–15 %\", \"bbox\": [1, 424, 30, 433]}, {\"cell\": \"16 (17.0 %)\", \"bbox\": [74, 424, 112, 433]}, {\"cell\": \"2.53 ± 0.67\", \"bbox\": [130, 424, 166, 433]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"16–30 %\", \"bbox\": [1, 438, 30, 447]}, {\"cell\": \"25 (26.6 %)\", \"bbox\": [74, 438, 112, 447]}, {\"cell\": \"2.58 ± 0.54\", \"bbox\": [130, 438, 166, 447]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \">30 %\", \"bbox\": [1, 452, 23, 461]}, {\"cell\": \"30 (31.9 %)\", \"bbox\": [74, 452, 112, 461]}, {\"cell\": \"2.49 ± 0.53\", \"bbox\": [130, 452, 166, 461]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"P53 status\", \"bbox\": [1, 466, 35, 475]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 466, 230, 475]}, {\"cell\": \"<10 %\", \"bbox\": [1, 480, 23, 489]}, {\"cell\": \"52 (57.8 %)\", \"bbox\": [74, 480, 112, 489]}, {\"cell\": \"2.45 ± 0.55\", \"bbox\": [130, 480, 166, 489]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \">10 %\", \"bbox\": [1, 494, 23, 503]}, {\"cell\": \"38 (42.2 %)\", \"bbox\": [74, 494, 112, 503]}, {\"cell\": \"2.49 ± 0.57\", \"bbox\": [130, 494, 166, 503]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4642638_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL][EMPTY_CELL]MaleNFemaleNTotalN (%)
[EMPTY_CELL]Acceptance191635 (35.4)
[EMPTY_CELL]No referral to professional care and/or not sure of acceptance for referral to professional care121022 (22.2)
[EMPTY_CELL]Refusals212144 (44.4)
[EMPTY_CELL]Total524799 (100.0)
[EMPTY_CELL]Hospitals/Community health station/Private health care providers201535 (35.4)
[EMPTY_CELL]Traditional healers224 (4.0)
[EMPTY_CELL]Pharmacy keepers/Self-treatments448 (8.1)
[EMPTY_CELL]No health care262652 (52.5)
[EMPTY_CELL]Total524799 (100.0)
[EMPTY_CELL]In-patient somatic treatment9312 (12.1)
[EMPTY_CELL]Out-patient somatic treatment81422 (22.2)
[EMPTY_CELL]In-patient psychiatric treatment516 (6.1)
[EMPTY_CELL]Out-patient psychiatric treatment437 (7.1)
[EMPTY_CELL]No treatment262652 (52.5)
[EMPTY_CELL]Total524799 (100.0)
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"MaleN\", \"bbox\": [397, 4, 415, 22]}, {\"cell\": \"FemaleN\", \"bbox\": [419, 4, 446, 22]}, {\"cell\": \"TotalN (%)\", \"bbox\": [450, 4, 471, 22]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 26, 76, 45]}, {\"cell\": \"Acceptance\", \"bbox\": [94, 26, 133, 36]}, {\"cell\": \"19\", \"bbox\": [397, 26, 406, 36]}, {\"cell\": \"16\", \"bbox\": [419, 26, 429, 36]}, {\"cell\": \"35 (35.4)\", \"bbox\": [450, 26, 479, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No referral to professional care and/or not sure of acceptance for referral to professional care\", \"bbox\": [94, 47, 382, 66]}, {\"cell\": \"12\", \"bbox\": [397, 47, 406, 57]}, {\"cell\": \"10\", \"bbox\": [419, 47, 429, 57]}, {\"cell\": \"22 (22.2)\", \"bbox\": [450, 47, 479, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Refusals\", \"bbox\": [94, 68, 121, 78]}, {\"cell\": \"21\", \"bbox\": [397, 68, 406, 78]}, {\"cell\": \"21\", \"bbox\": [419, 68, 429, 78]}, {\"cell\": \"44 (44.4)\", \"bbox\": [450, 68, 479, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Total\", \"bbox\": [94, 80, 112, 89]}, {\"cell\": \"52\", \"bbox\": [397, 80, 407, 89]}, {\"cell\": \"47\", \"bbox\": [419, 80, 429, 89]}, {\"cell\": \"99 (100.0)\", \"bbox\": [450, 80, 474, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 102, 68, 112]}, {\"cell\": \"Hospitals/Community health station/Private health care providers\", \"bbox\": [94, 102, 306, 112]}, {\"cell\": \"20\", \"bbox\": [397, 102, 406, 112]}, {\"cell\": \"15\", \"bbox\": [419, 102, 429, 112]}, {\"cell\": \"35 (35.4)\", \"bbox\": [450, 102, 479, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Traditional healers\", \"bbox\": [94, 114, 154, 124]}, {\"cell\": \"2\", \"bbox\": [397, 114, 402, 124]}, {\"cell\": \"2\", \"bbox\": [419, 114, 425, 124]}, {\"cell\": \"4 (4.0)\", \"bbox\": [450, 114, 471, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Pharmacy keepers/Self-treatments\", \"bbox\": [94, 126, 205, 136]}, {\"cell\": \"4\", \"bbox\": [397, 126, 402, 136]}, {\"cell\": \"4\", \"bbox\": [419, 126, 425, 136]}, {\"cell\": \"8 (8.1)\", \"bbox\": [450, 126, 471, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No health care\", \"bbox\": [94, 138, 146, 147]}, {\"cell\": \"26\", \"bbox\": [397, 138, 407, 147]}, {\"cell\": \"26\", \"bbox\": [419, 138, 429, 147]}, {\"cell\": \"52 (52.5)\", \"bbox\": [450, 138, 481, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Total\", \"bbox\": [94, 150, 112, 159]}, {\"cell\": \"52\", \"bbox\": [397, 150, 407, 159]}, {\"cell\": \"47\", \"bbox\": [419, 150, 429, 159]}, {\"cell\": \"99 (100.0)\", \"bbox\": [450, 150, 474, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 171, 64, 180]}, {\"cell\": \"In-patient somatic treatment\", \"bbox\": [94, 171, 188, 180]}, {\"cell\": \"9\", \"bbox\": [397, 171, 402, 180]}, {\"cell\": \"3\", \"bbox\": [419, 171, 425, 180]}, {\"cell\": \"12 (12.1)\", \"bbox\": [450, 171, 479, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Out-patient somatic treatment\", \"bbox\": [94, 183, 194, 192]}, {\"cell\": \"8\", \"bbox\": [397, 183, 402, 192]}, {\"cell\": \"14\", \"bbox\": [419, 183, 429, 192]}, {\"cell\": \"22 (22.2)\", \"bbox\": [450, 183, 479, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"In-patient psychiatric treatment\", \"bbox\": [94, 195, 197, 204]}, {\"cell\": \"5\", \"bbox\": [397, 195, 402, 204]}, {\"cell\": \"1\", \"bbox\": [419, 195, 425, 204]}, {\"cell\": \"6 (6.1)\", \"bbox\": [450, 195, 471, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Out-patient psychiatric treatment\", \"bbox\": [94, 207, 203, 216]}, {\"cell\": \"4\", \"bbox\": [397, 207, 402, 216]}, {\"cell\": \"3\", \"bbox\": [419, 207, 425, 216]}, {\"cell\": \"7 (7.1)\", \"bbox\": [450, 207, 471, 216]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No treatment\", \"bbox\": [94, 219, 141, 227]}, {\"cell\": \"26\", \"bbox\": [397, 219, 407, 227]}, {\"cell\": \"26\", \"bbox\": [419, 219, 429, 227]}, {\"cell\": \"52 (52.5)\", \"bbox\": [450, 219, 481, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Total\", \"bbox\": [94, 231, 112, 239]}, {\"cell\": \"52\", \"bbox\": [397, 231, 407, 239]}, {\"cell\": \"47\", \"bbox\": [419, 231, 429, 239]}, {\"cell\": \"99 (100.0)\", \"bbox\": [450, 231, 460, 239]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2830177_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Inclusion criteriaExclusion criteria
Chen et al. 2008Febrile infants < 3 months with suspected serious bacterial infection (SBI): UTI, pneumonia, positive CSF or blood colture.[EMPTY_CELL]
Carrol et al. 2009Children with suspected Serious Bacterial Infection (meningitides or Pneumonia) of a Malawian Hospital.Age: 2 months–16 years.[EMPTY_CELL]
Sarafidis et al. 2010Admission to a NICU of a single university hospital for suspected Late Onset Sepsis (LOS) >3 days.[EMPTY_CELL]
Kevan et al. 2011Pediatric intestinal failure (IF) patients with central venous catheter (CVC) of a children hospital. Age: between 3 months and 4 years.[EMPTY_CELL]
Miedema et al. 2011Febrile neutropenia and oncological underlying disease.[EMPTY_CELL]
Arzanian et al. 2011Fever >38 °C for at least one hour or >38,3° in a single measurement; absolute neutrophil count of less than 500/mm3.[EMPTY_CELL]
Schlapbach et al. 2013Neonates >34 weeks admitted within the first 72 h with suspicion of sepsis (Early onset sepsis).[EMPTY_CELL]
Mazzucchelli et al. 2013Gestational age younger than 32 weeks and/or birth weigh less than 1500 g free of infection.[EMPTY_CELL]
Adly et al. 2014Newborns with clinical and laboratory signs of sepsis.[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Inclusion criteria\", \"bbox\": [85, 4, 137, 13]}, {\"cell\": \"Exclusion criteria\", \"bbox\": [293, 4, 345, 13]}, {\"cell\": \"Chen et al. 2008\", \"bbox\": [1, 17, 53, 27]}, {\"cell\": \"Febrile infants < 3 months with suspected serious bacterial infection (SBI): UTI, pneumonia, positive CSF or blood colture.\", \"bbox\": [85, 17, 284, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 17, 339, 27]}, {\"cell\": \"Carrol et al. 2009\", \"bbox\": [1, 40, 55, 50]}, {\"cell\": \"Children with suspected Serious Bacterial Infection (meningitides or Pneumonia) of a Malawian Hospital.Age: 2 months–16 years.\", \"bbox\": [85, 40, 257, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 40, 399, 50]}, {\"cell\": \"Sarafidis et al. 2010\", \"bbox\": [1, 72, 63, 82]}, {\"cell\": \"Admission to a NICU of a single university hospital for suspected Late Onset Sepsis (LOS) >3 days.\", \"bbox\": [85, 72, 260, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 72, 477, 91]}, {\"cell\": \"Kevan et al. 2011\", \"bbox\": [1, 95, 55, 105]}, {\"cell\": \"Pediatric intestinal failure (IF) patients with central venous catheter (CVC) of a children hospital. Age: between 3 months and 4 years.\", \"bbox\": [85, 95, 273, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 95, 484, 141]}, {\"cell\": \"Miedema et al. 2011\", \"bbox\": [1, 145, 66, 155]}, {\"cell\": \"Febrile neutropenia and oncological underlying disease.\", \"bbox\": [85, 145, 267, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 145, 339, 155]}, {\"cell\": \"Arzanian et al. 2011\", \"bbox\": [1, 159, 64, 169]}, {\"cell\": \"Fever >38 °C for at least one hour or >38,3° in a single measurement; absolute neutrophil count of less than 500/mm3.\", \"bbox\": [85, 159, 281, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 159, 481, 187]}, {\"cell\": \"Schlapbach et al. 2013\", \"bbox\": [1, 191, 73, 201]}, {\"cell\": \"Neonates >34 weeks admitted within the first 72 h with suspicion of sepsis (Early onset sepsis).\", \"bbox\": [85, 191, 267, 210]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 191, 339, 201]}, {\"cell\": \"Mazzucchelli et al. 2013\", \"bbox\": [1, 214, 76, 224]}, {\"cell\": \"Gestational age younger than 32 weeks and/or birth weigh less than 1500 g free of infection.\", \"bbox\": [85, 214, 278, 233]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 214, 339, 224]}, {\"cell\": \"Adly et al. 2014\", \"bbox\": [1, 237, 50, 247]}, {\"cell\": \"Newborns with clinical and laboratory signs of sepsis.\", \"bbox\": [85, 237, 258, 247]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 237, 480, 256]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4847353_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
ParameterAEG (n = 752)PAG (n = 267)
AMS (n = 461)Non-AMS (n = 291)P-valueAMS (n = 104)Non-AMS (n = 163)P-value
Age (year)23.0 ± 3.922.8 ± 3.90.475[EMPTY_CELL]21.8 ± 2.30.162
BMI (kg/m2)21.7 ± 2.221.8 ± 2.00.496[EMPTY_CELL]21.4 ± 2.60.303
Han/ethnicity (%)87.0 %88.3 %0.856[EMPTY_CELL]88.9 %0.737
Medicine use (%)0 %0 %[EMPTY_CELL][EMPTY_CELL]0 %[EMPTY_CELL]
Smokers (%)36.9 %44.7 %0.058[EMPTY_CELL]47.9 %0.067
LLS4.8 ± 1.71.6 ± 1.10.000[EMPTY_CELL]1.2 ± 1.20.000
HR (pre-exposure)65.7 ± 9.665.7 ± 9.60.978[EMPTY_CELL]78.3 ± 10.60.091
HR (post-exposure)86.5 ± 12.1a82.2 ± 10.9a0.003[EMPTY_CELL]85.1 ± 10.9a0.487
△HR (post-pre)20.9 ± 11.716.6 ± 10.60.009[EMPTY_CELL]6.9 ± 9.00.010
SaO2 (pre-exposure)98.10 ± 1.0098.12 ± 1.020.436[EMPTY_CELL]91.82 ± 2.300.45
SaO2 (post-exposure)88.35 ± 3.23a89.38 ± 2.76a0.008[EMPTY_CELL]87.67 ± 2.82a0.007
△SaO2 (pre-post)9.75 ± 3.318.73 ± 2.890.008[EMPTY_CELL]4.15 ± 2.860.010
\", \"cells\": [{\"cell\": \"Parameter\", \"bbox\": [1, 4, 35, 13]}, {\"cell\": \"AEG (n = 752)\", \"bbox\": [94, 4, 139, 13]}, {\"cell\": \"PAG (n = 267)\", \"bbox\": [302, 4, 347, 13]}, {\"cell\": \"AMS (n = 461)\", \"bbox\": [94, 17, 141, 27]}, {\"cell\": \"Non-AMS (n = 291)\", \"bbox\": [165, 17, 228, 27]}, {\"cell\": \"P-value\", \"bbox\": [252, 17, 277, 27]}, {\"cell\": \"AMS (n = 104)\", \"bbox\": [302, 17, 348, 27]}, {\"cell\": \"Non-AMS (n = 163)\", \"bbox\": [373, 17, 435, 27]}, {\"cell\": \"P-value\", \"bbox\": [460, 17, 484, 27]}, {\"cell\": \"Age (year)\", \"bbox\": [1, 30, 35, 40]}, {\"cell\": \"23.0 ± 3.9\", \"bbox\": [94, 30, 126, 40]}, {\"cell\": \"22.8 ± 3.9\", \"bbox\": [165, 30, 197, 40]}, {\"cell\": \"0.475\", \"bbox\": [252, 30, 271, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [302, 30, 333, 40]}, {\"cell\": \"21.8 ± 2.3\", \"bbox\": [373, 30, 404, 40]}, {\"cell\": \"0.162\", \"bbox\": [460, 30, 478, 40]}, {\"cell\": \"BMI (kg/m2)\", \"bbox\": [1, 43, 41, 54]}, {\"cell\": \"21.7 ± 2.2\", \"bbox\": [94, 44, 126, 54]}, {\"cell\": \"21.8 ± 2.0\", \"bbox\": [165, 44, 197, 54]}, {\"cell\": \"0.496\", \"bbox\": [252, 44, 271, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [302, 44, 333, 54]}, {\"cell\": \"21.4 ± 2.6\", \"bbox\": [373, 44, 404, 54]}, {\"cell\": \"0.303\", \"bbox\": [460, 44, 478, 54]}, {\"cell\": \"Han/ethnicity (%)\", \"bbox\": [1, 58, 58, 68]}, {\"cell\": \"87.0 %\", \"bbox\": [94, 58, 117, 68]}, {\"cell\": \"88.3 %\", \"bbox\": [165, 58, 188, 68]}, {\"cell\": \"0.856\", \"bbox\": [252, 58, 271, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [302, 58, 325, 68]}, {\"cell\": \"88.9 %\", \"bbox\": [373, 58, 396, 68]}, {\"cell\": \"0.737\", \"bbox\": [460, 58, 478, 68]}, {\"cell\": \"Medicine use (%)\", \"bbox\": [1, 72, 57, 82]}, {\"cell\": \"0 %\", \"bbox\": [94, 72, 108, 82]}, {\"cell\": \"0 %\", \"bbox\": [165, 72, 179, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [302, 72, 316, 82]}, {\"cell\": \"0 %\", \"bbox\": [373, 72, 387, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Smokers (%)\", \"bbox\": [1, 86, 42, 96]}, {\"cell\": \"36.9 %\", \"bbox\": [94, 86, 117, 96]}, {\"cell\": \"44.7 %\", \"bbox\": [165, 86, 188, 96]}, {\"cell\": \"0.058\", \"bbox\": [252, 86, 271, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [302, 86, 325, 96]}, {\"cell\": \"47.9 %\", \"bbox\": [373, 86, 396, 96]}, {\"cell\": \"0.067\", \"bbox\": [460, 86, 478, 96]}, {\"cell\": \"LLS\", \"bbox\": [1, 100, 13, 110]}, {\"cell\": \"4.8 ± 1.7\", \"bbox\": [94, 100, 122, 110]}, {\"cell\": \"1.6 ± 1.1\", \"bbox\": [165, 100, 193, 110]}, {\"cell\": \"0.000\", \"bbox\": [252, 100, 271, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [302, 100, 329, 110]}, {\"cell\": \"1.2 ± 1.2\", \"bbox\": [373, 100, 401, 110]}, {\"cell\": \"0.000\", \"bbox\": [460, 100, 478, 110]}, {\"cell\": \"HR (pre-exposure)\", \"bbox\": [1, 114, 60, 124]}, {\"cell\": \"65.7 ± 9.6\", \"bbox\": [94, 114, 126, 124]}, {\"cell\": \"65.7 ± 9.6\", \"bbox\": [165, 114, 197, 124]}, {\"cell\": \"0.978\", \"bbox\": [252, 114, 271, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [302, 114, 333, 124]}, {\"cell\": \"78.3 ± 10.6\", \"bbox\": [373, 114, 408, 124]}, {\"cell\": \"0.091\", \"bbox\": [460, 114, 478, 124]}, {\"cell\": \"HR (post-exposure)\", \"bbox\": [1, 128, 63, 138]}, {\"cell\": \"86.5 ± 12.1a\", \"bbox\": [94, 127, 132, 138]}, {\"cell\": \"82.2 ± 10.9a\", \"bbox\": [165, 127, 203, 138]}, {\"cell\": \"0.003\", \"bbox\": [252, 128, 271, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [302, 127, 340, 138]}, {\"cell\": \"85.1 ± 10.9a\", \"bbox\": [373, 127, 411, 138]}, {\"cell\": \"0.487\", \"bbox\": [460, 128, 478, 138]}, {\"cell\": \"△HR (post-pre)\", \"bbox\": [1, 142, 49, 152]}, {\"cell\": \"20.9 ± 11.7\", \"bbox\": [94, 142, 130, 152]}, {\"cell\": \"16.6 ± 10.6\", \"bbox\": [165, 142, 201, 152]}, {\"cell\": \"0.009\", \"bbox\": [252, 142, 271, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [302, 142, 337, 152]}, {\"cell\": \"6.9 ± 9.0\", \"bbox\": [373, 142, 401, 152]}, {\"cell\": \"0.010\", \"bbox\": [460, 142, 478, 152]}, {\"cell\": \"SaO2 (pre-exposure)\", \"bbox\": [1, 156, 66, 166]}, {\"cell\": \"98.10 ± 1.00\", \"bbox\": [94, 156, 134, 166]}, {\"cell\": \"98.12 ± 1.02\", \"bbox\": [165, 156, 205, 166]}, {\"cell\": \"0.436\", \"bbox\": [252, 156, 271, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [302, 156, 341, 166]}, {\"cell\": \"91.82 ± 2.30\", \"bbox\": [373, 156, 412, 166]}, {\"cell\": \"0.45\", \"bbox\": [460, 156, 474, 166]}, {\"cell\": \"SaO2 (post-exposure)\", \"bbox\": [1, 170, 70, 180]}, {\"cell\": \"88.35 ± 3.23a\", \"bbox\": [94, 169, 136, 180]}, {\"cell\": \"89.38 ± 2.76a\", \"bbox\": [165, 169, 207, 180]}, {\"cell\": \"0.008\", \"bbox\": [252, 170, 271, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [302, 169, 344, 180]}, {\"cell\": \"87.67 ± 2.82a\", \"bbox\": [373, 169, 415, 180]}, {\"cell\": \"0.007\", \"bbox\": [460, 170, 478, 180]}, {\"cell\": \"△SaO2 (pre-post)\", \"bbox\": [1, 184, 56, 194]}, {\"cell\": \"9.75 ± 3.31\", \"bbox\": [94, 184, 130, 194]}, {\"cell\": \"8.73 ± 2.89\", \"bbox\": [165, 184, 201, 194]}, {\"cell\": \"0.008\", \"bbox\": [252, 184, 271, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [302, 184, 337, 194]}, {\"cell\": \"4.15 ± 2.86\", \"bbox\": [373, 184, 408, 194]}, {\"cell\": \"0.010\", \"bbox\": [460, 184, 478, 194]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4620634_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Medical ApplicationsReductionism’s ObjectivesSystems Biology Holistic Strategy
Clinical focus[EMPTY_CELL]Interactions between components, like molecules, networks, modules, models (phenotypes)
Prevention[EMPTY_CELL]As an entity the whole range of culpable variables
Diagnosis[EMPTY_CELL]The patient as a “diseased person”
Therapy[EMPTY_CELL]Treating the patient from an holistic perspective
\", \"cells\": [{\"cell\": \"Medical Applications\", \"bbox\": [19, 10, 110, 21]}, {\"cell\": \"Reductionism’s Objectives\", \"bbox\": [145, 10, 257, 21]}, {\"cell\": \"Systems Biology Holistic Strategy\", \"bbox\": [313, 5, 384, 27]}, {\"cell\": \"Clinical focus\", \"bbox\": [37, 43, 92, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [146, 43, 256, 54]}, {\"cell\": \"Interactions between components, like molecules, networks, modules, models (phenotypes)\", \"bbox\": [280, 32, 418, 65]}, {\"cell\": \"Prevention\", \"bbox\": [42, 75, 87, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [140, 69, 262, 91]}, {\"cell\": \"As an entity the whole range of culpable variables\", \"bbox\": [285, 69, 412, 91]}, {\"cell\": \"Diagnosis\", \"bbox\": [44, 101, 85, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [138, 96, 265, 118]}, {\"cell\": \"The patient as a “diseased person”\", \"bbox\": [280, 101, 417, 112]}, {\"cell\": \"Therapy\", \"bbox\": [47, 128, 82, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 128, 263, 139]}, {\"cell\": \"Treating the patient from an holistic perspective\", \"bbox\": [292, 123, 405, 145]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5371916_010_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
RegionCluster sizePeak t-valuePeak MNI coordinates
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]xyz
Task effects
Numerical >Perceptive Spatialn.s.[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Perceptive Spatial > Numericaln.s.[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Mental Rotation > Numerical[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
N/A (adjacent to the R superior frontal gyrus)3014.33311[EMPTY_CELL]
R superior frontal gyrus[EMPTY_CELL]4.2925-8[EMPTY_CELL]
R inferior parietal lobe (assigned to intraparietal sulcus)2174.7040-50[EMPTY_CELL]
R superior parietal lobe (assigned to intraparietal sulcus)[EMPTY_CELL]3.9428-56[EMPTY_CELL]
R middle occipital gyrus293.8740-74[EMPTY_CELL]
L inferior parietal lobe284.27-44-56[EMPTY_CELL]
Numerical > Mental Rotation
L superior frontal gyrus (assigned to frontal pole)2154.87-1464[EMPTY_CELL]
L superior medial gyrus[EMPTY_CELL]4.07-261[EMPTY_CELL]
R inferior occipital gyrus (assigned to V3)2136.0522-92[EMPTY_CELL]
R middle occipital gyrus[EMPTY_CELL]5.2231-92[EMPTY_CELL]
R insula/rolandic operculum1295.1349-5[EMPTY_CELL]
L calcarine gyrus1295.03-17-98[EMPTY_CELL]
L insula364.32-41-11[EMPTY_CELL]
Mental Rotation > Perceptive Spatial[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
R superior frontal gyrus4054.79221[EMPTY_CELL]
R middle frontal gyrus[EMPTY_CELL]4.522510[EMPTY_CELL]
R inferior parietal lobe (assigned to intraparietal sulcus)1464.0540-50[EMPTY_CELL]
L middle frontal gyrus443.71-26-2[EMPTY_CELL]
R supramarginal gyrus (assigned to inferior parietal lobe)403.9658-29[EMPTY_CELL]
R middle occipital gyrus264.4440-71[EMPTY_CELL]
Perceptive Spatial > Mental Rotation[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
L superior frontal gyrus (assigned to frontal pole)1194.43-561[EMPTY_CELL]
L middle occipital gyrus (assigned to V3)273.76-29-95[EMPTY_CELL]
L middle temporal gyrus244.49-62-35[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Region\", \"bbox\": [1, 6, 26, 15]}, {\"cell\": \"Cluster size\", \"bbox\": [214, 6, 256, 15]}, {\"cell\": \"Peak t-value\", \"bbox\": [292, 6, 336, 15]}, {\"cell\": \"Peak MNI coordinates\", \"bbox\": [399, 6, 475, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"x\", \"bbox\": [378, 26, 383, 34]}, {\"cell\": \"y\", \"bbox\": [445, 26, 450, 34]}, {\"cell\": \"z\", \"bbox\": [502, 26, 508, 34]}, {\"cell\": \"Task effects\", \"bbox\": [1, 43, 43, 51]}, {\"cell\": \"Numerical >Perceptive Spatial\", \"bbox\": [1, 54, 96, 63]}, {\"cell\": \"n.s.\", \"bbox\": [229, 54, 242, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Perceptive Spatial > Numerical\", \"bbox\": [1, 66, 96, 74]}, {\"cell\": \"n.s.\", \"bbox\": [229, 66, 242, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Mental Rotation > Numerical\", \"bbox\": [1, 77, 90, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"N/A (adjacent to the R superior frontal gyrus)\", \"bbox\": [1, 88, 136, 97]}, {\"cell\": \"301\", \"bbox\": [228, 88, 242, 97]}, {\"cell\": \"4.33\", \"bbox\": [306, 88, 322, 97]}, {\"cell\": \"31\", \"bbox\": [378, 88, 388, 97]}, {\"cell\": \"1\", \"bbox\": [445, 88, 451, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [498, 88, 508, 97]}, {\"cell\": \"R superior frontal gyrus\", \"bbox\": [8, 100, 80, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"4.29\", \"bbox\": [306, 100, 322, 108]}, {\"cell\": \"25\", \"bbox\": [378, 100, 388, 108]}, {\"cell\": \"-8\", \"bbox\": [439, 100, 451, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [498, 100, 508, 108]}, {\"cell\": \"R inferior parietal lobe (assigned to intraparietal sulcus)\", \"bbox\": [8, 111, 174, 120]}, {\"cell\": \"217\", \"bbox\": [228, 111, 242, 120]}, {\"cell\": \"4.70\", \"bbox\": [306, 111, 322, 120]}, {\"cell\": \"40\", \"bbox\": [378, 111, 388, 120]}, {\"cell\": \"-50\", \"bbox\": [435, 111, 451, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [498, 111, 508, 120]}, {\"cell\": \"R superior parietal lobe (assigned to intraparietal sulcus)\", \"bbox\": [8, 122, 178, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3.94\", \"bbox\": [306, 122, 322, 131]}, {\"cell\": \"28\", \"bbox\": [378, 122, 388, 131]}, {\"cell\": \"-56\", \"bbox\": [435, 122, 451, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [498, 122, 508, 131]}, {\"cell\": \"R middle occipital gyrus\", \"bbox\": [1, 134, 74, 142]}, {\"cell\": \"29\", \"bbox\": [230, 134, 240, 142]}, {\"cell\": \"3.87\", \"bbox\": [306, 134, 322, 142]}, {\"cell\": \"40\", \"bbox\": [378, 134, 388, 142]}, {\"cell\": \"-74\", \"bbox\": [435, 134, 451, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [498, 134, 508, 142]}, {\"cell\": \"L inferior parietal lobe\", \"bbox\": [1, 145, 67, 154]}, {\"cell\": \"28\", \"bbox\": [230, 145, 240, 154]}, {\"cell\": \"4.27\", \"bbox\": [306, 145, 322, 154]}, {\"cell\": \"-44\", \"bbox\": [373, 145, 388, 154]}, {\"cell\": \"-56\", \"bbox\": [435, 145, 451, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [498, 145, 508, 154]}, {\"cell\": \"Numerical > Mental Rotation\", \"bbox\": [1, 157, 90, 165]}, {\"cell\": \"L superior frontal gyrus (assigned to frontal pole)\", \"bbox\": [1, 168, 147, 176]}, {\"cell\": \"215\", \"bbox\": [228, 168, 242, 176]}, {\"cell\": \"4.87\", \"bbox\": [306, 168, 322, 176]}, {\"cell\": \"-14\", \"bbox\": [373, 168, 388, 176]}, {\"cell\": \"64\", \"bbox\": [441, 168, 451, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [498, 168, 508, 176]}, {\"cell\": \"L superior medial gyrus\", \"bbox\": [8, 179, 80, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"4.07\", \"bbox\": [306, 179, 322, 188]}, {\"cell\": \"-2\", \"bbox\": [377, 179, 388, 188]}, {\"cell\": \"61\", \"bbox\": [441, 179, 451, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [498, 179, 508, 188]}, {\"cell\": \"R inferior occipital gyrus (assigned to V3)\", \"bbox\": [0, 191, 125, 199]}, {\"cell\": \"213\", \"bbox\": [228, 191, 242, 199]}, {\"cell\": \"6.05\", \"bbox\": [306, 191, 322, 199]}, {\"cell\": \"22\", \"bbox\": [378, 191, 388, 199]}, {\"cell\": \"-92\", \"bbox\": [435, 191, 451, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [497, 191, 508, 199]}, {\"cell\": \"R middle occipital gyrus\", \"bbox\": [8, 202, 82, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"5.22\", \"bbox\": [306, 202, 322, 211]}, {\"cell\": \"31\", \"bbox\": [378, 202, 388, 211]}, {\"cell\": \"-92\", \"bbox\": [435, 202, 451, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [502, 202, 508, 211]}, {\"cell\": \"R insula/rolandic operculum\", \"bbox\": [0, 213, 86, 222]}, {\"cell\": \"129\", \"bbox\": [228, 213, 242, 222]}, {\"cell\": \"5.13\", \"bbox\": [306, 213, 322, 222]}, {\"cell\": \"49\", \"bbox\": [378, 213, 388, 222]}, {\"cell\": \"-5\", \"bbox\": [439, 213, 451, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [502, 213, 508, 222]}, {\"cell\": \"L calcarine gyrus\", \"bbox\": [0, 225, 53, 233]}, {\"cell\": \"129\", \"bbox\": [228, 225, 242, 233]}, {\"cell\": \"5.03\", \"bbox\": [306, 225, 322, 233]}, {\"cell\": \"-17\", \"bbox\": [373, 225, 388, 233]}, {\"cell\": \"-98\", \"bbox\": [435, 225, 451, 233]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [497, 225, 508, 233]}, {\"cell\": \"L insula\", \"bbox\": [1, 236, 25, 245]}, {\"cell\": \"36\", \"bbox\": [230, 236, 240, 245]}, {\"cell\": \"4.32\", \"bbox\": [306, 236, 322, 245]}, {\"cell\": \"-41\", \"bbox\": [373, 236, 388, 245]}, {\"cell\": \"-11\", \"bbox\": [435, 236, 451, 245]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [502, 236, 508, 245]}, {\"cell\": \"Mental Rotation > Perceptive Spatial\", \"bbox\": [1, 247, 113, 256]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"R superior frontal gyrus\", \"bbox\": [1, 259, 72, 267]}, {\"cell\": \"405\", \"bbox\": [228, 259, 242, 267]}, {\"cell\": \"4.79\", \"bbox\": [306, 259, 322, 267]}, {\"cell\": \"22\", \"bbox\": [378, 259, 388, 267]}, {\"cell\": \"1\", \"bbox\": [445, 259, 451, 267]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [498, 259, 508, 267]}, {\"cell\": \"R middle frontal gyrus\", \"bbox\": [1, 270, 68, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"4.52\", \"bbox\": [306, 270, 322, 279]}, {\"cell\": \"25\", \"bbox\": [378, 270, 388, 279]}, {\"cell\": \"10\", \"bbox\": [441, 270, 451, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [498, 270, 508, 279]}, {\"cell\": \"R inferior parietal lobe (assigned to intraparietal sulcus)\", \"bbox\": [1, 281, 166, 290]}, {\"cell\": \"146\", \"bbox\": [228, 281, 242, 290]}, {\"cell\": \"4.05\", \"bbox\": [306, 281, 322, 290]}, {\"cell\": \"40\", \"bbox\": [378, 281, 388, 290]}, {\"cell\": \"-50\", \"bbox\": [435, 281, 451, 290]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [498, 281, 508, 290]}, {\"cell\": \"L middle frontal gyrus\", \"bbox\": [1, 293, 67, 301]}, {\"cell\": \"44\", \"bbox\": [230, 293, 240, 301]}, {\"cell\": \"3.71\", \"bbox\": [306, 293, 322, 301]}, {\"cell\": \"-26\", \"bbox\": [373, 293, 388, 301]}, {\"cell\": \"-2\", \"bbox\": [439, 293, 451, 301]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [498, 293, 508, 301]}, {\"cell\": \"R supramarginal gyrus (assigned to inferior parietal lobe)\", \"bbox\": [1, 304, 171, 313]}, {\"cell\": \"40\", \"bbox\": [230, 304, 240, 313]}, {\"cell\": \"3.96\", \"bbox\": [306, 304, 322, 313]}, {\"cell\": \"58\", \"bbox\": [378, 304, 388, 313]}, {\"cell\": \"-29\", \"bbox\": [435, 304, 451, 313]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [498, 304, 508, 313]}, {\"cell\": \"R middle occipital gyrus\", \"bbox\": [1, 316, 74, 324]}, {\"cell\": \"26\", \"bbox\": [230, 316, 240, 324]}, {\"cell\": \"4.44\", \"bbox\": [306, 316, 322, 324]}, {\"cell\": \"40\", \"bbox\": [378, 316, 388, 324]}, {\"cell\": \"-71\", \"bbox\": [435, 316, 451, 324]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [498, 316, 508, 324]}, {\"cell\": \"Perceptive Spatial > Mental Rotation\", \"bbox\": [1, 327, 113, 335]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"L superior frontal gyrus (assigned to frontal pole)\", \"bbox\": [1, 338, 147, 347]}, {\"cell\": \"119\", \"bbox\": [228, 338, 242, 347]}, {\"cell\": \"4.43\", \"bbox\": [306, 338, 322, 347]}, {\"cell\": \"-5\", \"bbox\": [377, 338, 388, 347]}, {\"cell\": \"61\", \"bbox\": [441, 338, 451, 347]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [498, 338, 508, 347]}, {\"cell\": \"L middle occipital gyrus (assigned to V3)\", \"bbox\": [0, 350, 124, 358]}, {\"cell\": \"27\", \"bbox\": [230, 350, 240, 358]}, {\"cell\": \"3.76\", \"bbox\": [306, 350, 322, 358]}, {\"cell\": \"-29\", \"bbox\": [373, 350, 388, 358]}, {\"cell\": \"-95\", \"bbox\": [435, 350, 451, 358]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [498, 350, 508, 358]}, {\"cell\": \"L middle temporal gyrus\", \"bbox\": [0, 361, 75, 370]}, {\"cell\": \"24\", \"bbox\": [230, 361, 240, 370]}, {\"cell\": \"4.49\", \"bbox\": [306, 361, 322, 370]}, {\"cell\": \"-62\", \"bbox\": [373, 361, 388, 370]}, {\"cell\": \"-35\", \"bbox\": [435, 361, 451, 370]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [502, 361, 508, 370]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5357648_011_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
MeasureABCDPF(2, 148), p
MSDMSDMSD
Unaided baselines[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
HHIE27.713.629.3[EMPTY_CELL]29.016.40.24, .79
CST (RAU)53.827.151.8[EMPTY_CELL]53.424.70.13, .88
PHAPglobal0.360.120.38[EMPTY_CELL]0.400.131.53, .22
PHAPavds0.200.100.23[EMPTY_CELL]0.250.122.43, .09
Outcome Measures[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
PHABglobal0.170.120.12[EMPTY_CELL]0.040.1018.56, < .001
PHABavds0.020.130.01[EMPTY_CELL]0.020.100.10, .90
CST benefit (RAU)21.319.426.6[EMPTY_CELL]8.721.211.78, < .001
HHIE benefit18.214.212.3[EMPTY_CELL]5.511.612.09, < .001
HASShaf3.800.453.48[EMPTY_CELL]3.420.586.92, .001
HASSdisp4.560.284.23[EMPTY_CELL]4.520.4311.40, < .001
Usage (hours/day)7.093.956.12[EMPTY_CELL]5.993.391.33, .27
\", \"cells\": [{\"cell\": \"Measure\", \"bbox\": [1, 24, 35, 33]}, {\"cell\": \"AB\", \"bbox\": [144, 8, 157, 18]}, {\"cell\": \"CD\", \"bbox\": [257, 8, 271, 18]}, {\"cell\": \"P\", \"bbox\": [374, 8, 381, 18]}, {\"cell\": \"F(2, 148), p\", \"bbox\": [455, 24, 497, 33]}, {\"cell\": \"M\", \"bbox\": [118, 24, 127, 33]}, {\"cell\": \"SD\", \"bbox\": [173, 24, 186, 33]}, {\"cell\": \"M\", \"bbox\": [231, 24, 240, 33]}, {\"cell\": \"SD\", \"bbox\": [286, 24, 299, 33]}, {\"cell\": \"M\", \"bbox\": [345, 24, 354, 33]}, {\"cell\": \"SD\", \"bbox\": [396, 24, 409, 33]}, {\"cell\": \"Unaided baselines\", \"bbox\": [0, 43, 72, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" HHIE\", \"bbox\": [8, 52, 29, 61]}, {\"cell\": \"27.7\", \"bbox\": [112, 52, 129, 61]}, {\"cell\": \"13.6\", \"bbox\": [168, 52, 186, 61]}, {\"cell\": \"29.3\", \"bbox\": [225, 52, 242, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 52, 299, 61]}, {\"cell\": \"29.0\", \"bbox\": [338, 52, 356, 61]}, {\"cell\": \"16.4\", \"bbox\": [395, 52, 412, 61]}, {\"cell\": \"0.24, .79\", \"bbox\": [456, 52, 489, 61]}, {\"cell\": \" CST (RAU)\", \"bbox\": [8, 61, 49, 70]}, {\"cell\": \"53.8\", \"bbox\": [112, 61, 129, 70]}, {\"cell\": \"27.1\", \"bbox\": [168, 61, 186, 70]}, {\"cell\": \"51.8\", \"bbox\": [225, 61, 242, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 61, 299, 70]}, {\"cell\": \"53.4\", \"bbox\": [338, 61, 356, 70]}, {\"cell\": \"24.7\", \"bbox\": [395, 61, 412, 70]}, {\"cell\": \"0.13, .88\", \"bbox\": [456, 61, 489, 70]}, {\"cell\": \" PHAPglobal\", \"bbox\": [8, 70, 53, 79]}, {\"cell\": \"0.36\", \"bbox\": [116, 70, 133, 79]}, {\"cell\": \"0.12\", \"bbox\": [173, 70, 190, 79]}, {\"cell\": \"0.38\", \"bbox\": [229, 70, 247, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [286, 70, 303, 79]}, {\"cell\": \"0.40\", \"bbox\": [343, 70, 360, 79]}, {\"cell\": \"0.13\", \"bbox\": [399, 70, 417, 79]}, {\"cell\": \"1.53, .22\", \"bbox\": [456, 70, 489, 79]}, {\"cell\": \" PHAPavds\", \"bbox\": [8, 79, 49, 88]}, {\"cell\": \"0.20\", \"bbox\": [116, 79, 133, 88]}, {\"cell\": \"0.10\", \"bbox\": [173, 79, 190, 88]}, {\"cell\": \"0.23\", \"bbox\": [229, 79, 247, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [286, 79, 303, 88]}, {\"cell\": \"0.25\", \"bbox\": [343, 79, 360, 88]}, {\"cell\": \"0.12\", \"bbox\": [399, 79, 417, 88]}, {\"cell\": \"2.43, .09\", \"bbox\": [456, 79, 489, 88]}, {\"cell\": \"Outcome Measures\", \"bbox\": [0, 88, 77, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" PHABglobal\", \"bbox\": [8, 97, 53, 106]}, {\"cell\": \"0.17\", \"bbox\": [116, 97, 133, 106]}, {\"cell\": \"0.12\", \"bbox\": [173, 97, 190, 106]}, {\"cell\": \"0.12\", \"bbox\": [229, 97, 247, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [286, 97, 303, 106]}, {\"cell\": \"0.04\", \"bbox\": [343, 97, 360, 106]}, {\"cell\": \"0.10\", \"bbox\": [399, 97, 417, 106]}, {\"cell\": \"18.56, < .001\", \"bbox\": [452, 97, 501, 106]}, {\"cell\": \" PHABavds\", \"bbox\": [8, 106, 49, 115]}, {\"cell\": \"0.02\", \"bbox\": [116, 106, 133, 115]}, {\"cell\": \"0.13\", \"bbox\": [173, 106, 190, 115]}, {\"cell\": \"0.01\", \"bbox\": [229, 106, 247, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [286, 106, 303, 115]}, {\"cell\": \"0.02\", \"bbox\": [343, 106, 360, 115]}, {\"cell\": \"0.10\", \"bbox\": [399, 106, 417, 115]}, {\"cell\": \"0.10, .90\", \"bbox\": [456, 106, 489, 115]}, {\"cell\": \" CST benefit (RAU)\", \"bbox\": [8, 115, 75, 124]}, {\"cell\": \"21.3\", \"bbox\": [112, 115, 129, 124]}, {\"cell\": \"19.4\", \"bbox\": [168, 115, 186, 124]}, {\"cell\": \"26.6\", \"bbox\": [225, 115, 242, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 115, 299, 124]}, {\"cell\": \"8.7\", \"bbox\": [343, 115, 356, 124]}, {\"cell\": \"21.2\", \"bbox\": [395, 115, 412, 124]}, {\"cell\": \"11.78, < .001\", \"bbox\": [452, 115, 501, 124]}, {\"cell\": \" HHIE benefit\", \"bbox\": [8, 124, 55, 133]}, {\"cell\": \"18.2\", \"bbox\": [112, 124, 129, 133]}, {\"cell\": \"14.2\", \"bbox\": [168, 124, 186, 133]}, {\"cell\": \"12.3\", \"bbox\": [225, 124, 242, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 124, 299, 133]}, {\"cell\": \"5.5\", \"bbox\": [343, 124, 356, 133]}, {\"cell\": \"11.6\", \"bbox\": [395, 124, 412, 133]}, {\"cell\": \"12.09, < .001\", \"bbox\": [452, 124, 501, 133]}, {\"cell\": \" HASShaf\", \"bbox\": [8, 133, 43, 142]}, {\"cell\": \"3.80\", \"bbox\": [116, 133, 133, 142]}, {\"cell\": \"0.45\", \"bbox\": [173, 133, 190, 142]}, {\"cell\": \"3.48\", \"bbox\": [229, 133, 247, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [286, 133, 303, 142]}, {\"cell\": \"3.42\", \"bbox\": [343, 133, 360, 142]}, {\"cell\": \"0.58\", \"bbox\": [399, 133, 417, 142]}, {\"cell\": \"6.92, .001\", \"bbox\": [456, 133, 493, 142]}, {\"cell\": \" HASSdisp\", \"bbox\": [8, 142, 47, 151]}, {\"cell\": \"4.56\", \"bbox\": [116, 142, 133, 151]}, {\"cell\": \"0.28\", \"bbox\": [173, 142, 190, 151]}, {\"cell\": \"4.23\", \"bbox\": [229, 142, 247, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [286, 142, 303, 151]}, {\"cell\": \"4.52\", \"bbox\": [343, 142, 360, 151]}, {\"cell\": \"0.43\", \"bbox\": [399, 142, 417, 151]}, {\"cell\": \"11.40, < .001\", \"bbox\": [452, 142, 501, 151]}, {\"cell\": \" Usage (hours/day)\", \"bbox\": [8, 151, 75, 160]}, {\"cell\": \"7.09\", \"bbox\": [116, 151, 133, 160]}, {\"cell\": \"3.95\", \"bbox\": [173, 151, 190, 160]}, {\"cell\": \"6.12\", \"bbox\": [229, 151, 247, 160]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [286, 151, 303, 160]}, {\"cell\": \"5.99\", \"bbox\": [343, 151, 360, 160]}, {\"cell\": \"3.39\", \"bbox\": [399, 151, 417, 160]}, {\"cell\": \"1.33, .27\", \"bbox\": [456, 151, 489, 160]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5597084_014_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Boycott et al. 2005 [[4]]Moheb et al. 2008 [[8]]Turkman et al. 2008 [[6]]Ozcelik et al. 2008 [[5]]Ozcelik et al. 2008 [[5]]Boycott et al. 2009 [[9]]Kolb et al. 2010 [[13]]This report Family 1This report Family 2
General
No. of patients108[EMPTY_CELL]531241
EthnicityHutteriteIranian[EMPTY_CELL]TurkishTurkishCaucasianTurkishUAE (Omani)UAE (Omani)
Consanguinity++[EMPTY_CELL]++-+++
VLDLR mutationHomozygous deletion of entire geneHomozygous c.1342C>T (p.R448X)[EMPTY_CELL]Homozygous c.769C.T (p.R257X)Homozygous c.2339delT (p.I780TfsX3)Compound heterozygous c.1561G>C + c.1711-1712dupT (p.D521H + p.Y571LfsX7)Homozygous deletion of exons 2, 3, 4 and parts of exons 1 and 5Homozygous c.2117G>T (p.C706F)Homozygous c.2117G>T (p.C706F)
Clinical
Mental retardationModerate-ProfoundModerate-Profound[EMPTY_CELL]ProfoundProfoundDevelopmental DelayDevelopmental delayModerateModerate
Hypotonia in infancy??[EMPTY_CELL]--++++
AmbulationDelayed-[EMPTY_CELL]DelayedDelayedDelayedDelayedDelayedDelayed
GaitBipedalBipedal[EMPTY_CELL]QuadrupedalQuadrupedalBipedalBipedalBipedalBipedal
Truncal ataxia+?[EMPTY_CELL]++++++
Dysarthric Speech+?[EMPTY_CELL]++?+No SpeechNo Speech
Seizure+/--[EMPTY_CELL]+/------
Strabismus+/-+[EMPTY_CELL]++--+/-+
Neuroimaging
Absent inferior vermis+?[EMPTY_CELL]++++++
Hypoplastic inferior-cerebellum+?[EMPTY_CELL]++++++
Simplified cortical gyri+?[EMPTY_CELL]++++++
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301, 50]}, {\"cell\": \"3\", \"bbox\": [357, 40, 364, 50]}, {\"cell\": \"1\", \"bbox\": [425, 40, 431, 50]}, {\"cell\": \"2\", \"bbox\": [495, 40, 501, 50]}, {\"cell\": \"4\", \"bbox\": [559, 40, 566, 50]}, {\"cell\": \"1\", \"bbox\": [620, 40, 626, 50]}, {\"cell\": \"Ethnicity\", \"bbox\": [1, 54, 30, 64]}, {\"cell\": \"Hutterite\", \"bbox\": [79, 54, 109, 64]}, {\"cell\": \"Iranian\", \"bbox\": [144, 54, 167, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [206, 54, 230, 64]}, {\"cell\": \"Turkish\", \"bbox\": [275, 54, 299, 64]}, {\"cell\": \"Turkish\", \"bbox\": [337, 54, 362, 64]}, {\"cell\": \"Caucasian\", \"bbox\": [400, 54, 434, 64]}, {\"cell\": \"Turkish\", \"bbox\": [473, 54, 497, 64]}, {\"cell\": \"UAE (Omani)\", \"bbox\": [540, 54, 583, 64]}, {\"cell\": \"UAE (Omani)\", \"bbox\": [601, 54, 644, 64]}, {\"cell\": \"Consanguinity\", \"bbox\": [1, 68, 48, 78]}, {\"cell\": \"+\", \"bbox\": [79, 68, 86, 78]}, {\"cell\": \"+\", \"bbox\": [144, 68, 151, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [206, 68, 213, 78]}, {\"cell\": \"+\", \"bbox\": [275, 68, 281, 78]}, {\"cell\": \"+\", \"bbox\": [337, 68, 344, 78]}, {\"cell\": \"-\", \"bbox\": [400, 68, 405, 78]}, {\"cell\": \"+\", \"bbox\": [473, 68, 480, 78]}, {\"cell\": \"+\", \"bbox\": [540, 68, 547, 78]}, {\"cell\": \"+\", \"bbox\": [601, 68, 608, 78]}, {\"cell\": \"VLDLR mutation\", \"bbox\": [1, 82, 54, 92]}, {\"cell\": \"Homozygous deletion of entire gene\", \"bbox\": [79, 82, 124, 110]}, {\"cell\": \"Homozygous c.1342C>T (p.R448X)\", \"bbox\": [144, 82, 188, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [206, 82, 250, 110]}, {\"cell\": \"Homozygous c.769C.T (p.R257X)\", \"bbox\": [275, 82, 319, 110]}, {\"cell\": \"Homozygous c.2339delT (p.I780TfsX3)\", \"bbox\": [337, 82, 382, 110]}, {\"cell\": \"Compound heterozygous c.1561G>C + c.1711-1712dupT (p.D521H + p.Y571LfsX7)\", \"bbox\": [400, 82, 456, 137]}, {\"cell\": \"Homozygous deletion of exons 2, 3, 4 and parts of exons 1 and 5\", \"bbox\": [473, 82, 521, 128]}, {\"cell\": \"Homozygous c.2117G>T (p.C706F)\", \"bbox\": [540, 82, 585, 110]}, {\"cell\": \"Homozygous c.2117G>T (p.C706F)\", \"bbox\": [601, 82, 645, 110]}, {\"cell\": \"Clinical\", \"bbox\": [1, 141, 27, 151]}, {\"cell\": \"Mental retardation\", \"bbox\": [1, 155, 37, 174]}, {\"cell\": \"Moderate-Profound\", \"bbox\": [79, 155, 114, 174]}, {\"cell\": \"Moderate-Profound\", \"bbox\": [144, 155, 179, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [206, 155, 241, 174]}, {\"cell\": \"Profound\", \"bbox\": [275, 155, 306, 165]}, {\"cell\": \"Profound\", \"bbox\": [337, 155, 369, 165]}, {\"cell\": \"Developmental Delay\", \"bbox\": [400, 155, 451, 174]}, {\"cell\": \"Developmental delay\", \"bbox\": [473, 155, 524, 174]}, {\"cell\": \"Moderate\", \"bbox\": [540, 155, 573, 165]}, {\"cell\": \"Moderate\", \"bbox\": [601, 155, 634, 165]}, {\"cell\": \"Hypotonia in infancy\", \"bbox\": [1, 178, 44, 197]}, {\"cell\": \"?\", \"bbox\": [79, 178, 84, 188]}, {\"cell\": \"?\", \"bbox\": [144, 178, 149, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [206, 178, 211, 188]}, {\"cell\": \"-\", \"bbox\": [275, 178, 279, 188]}, {\"cell\": \"-\", \"bbox\": [337, 178, 342, 188]}, {\"cell\": \"+\", \"bbox\": [400, 178, 407, 188]}, {\"cell\": \"+\", \"bbox\": [473, 178, 480, 188]}, {\"cell\": \"+\", \"bbox\": [540, 178, 547, 188]}, {\"cell\": \"+\", \"bbox\": [601, 178, 608, 188]}, {\"cell\": \"Ambulation\", \"bbox\": [1, 201, 40, 211]}, {\"cell\": \"Delayed\", \"bbox\": [79, 201, 107, 211]}, {\"cell\": \"-\", \"bbox\": [144, 201, 148, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [206, 201, 234, 211]}, {\"cell\": \"Delayed\", \"bbox\": [275, 201, 303, 211]}, {\"cell\": \"Delayed\", \"bbox\": [337, 201, 365, 211]}, {\"cell\": \"Delayed\", \"bbox\": [400, 201, 428, 211]}, {\"cell\": \"Delayed\", \"bbox\": [473, 201, 501, 211]}, {\"cell\": \"Delayed\", \"bbox\": [540, 201, 568, 211]}, {\"cell\": \"Delayed\", \"bbox\": [601, 201, 629, 211]}, {\"cell\": \"Gait\", \"bbox\": [1, 215, 15, 225]}, {\"cell\": \"Bipedal\", \"bbox\": [79, 215, 105, 225]}, {\"cell\": \"Bipedal\", \"bbox\": [144, 215, 169, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [206, 215, 250, 225]}, {\"cell\": \"Quadrupedal\", \"bbox\": [275, 215, 318, 225]}, {\"cell\": \"Quadrupedal\", \"bbox\": [337, 215, 381, 225]}, {\"cell\": \"Bipedal\", \"bbox\": [400, 215, 426, 225]}, {\"cell\": \"Bipedal\", \"bbox\": [473, 215, 498, 225]}, {\"cell\": \"Bipedal\", \"bbox\": [540, 215, 566, 225]}, {\"cell\": \"Bipedal\", \"bbox\": [601, 215, 626, 225]}, {\"cell\": \"Truncal ataxia\", \"bbox\": [1, 229, 46, 239]}, {\"cell\": \"+\", \"bbox\": [79, 229, 86, 239]}, {\"cell\": \"?\", \"bbox\": [144, 229, 149, 239]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [206, 229, 213, 239]}, {\"cell\": \"+\", \"bbox\": [275, 229, 281, 239]}, {\"cell\": \"+\", \"bbox\": [337, 229, 344, 239]}, {\"cell\": \"+\", \"bbox\": [400, 229, 407, 239]}, {\"cell\": \"+\", \"bbox\": [473, 229, 480, 239]}, {\"cell\": \"+\", \"bbox\": [540, 229, 547, 239]}, {\"cell\": \"+\", \"bbox\": [601, 229, 608, 239]}, {\"cell\": \"Dysarthric Speech\", \"bbox\": [1, 243, 60, 253]}, {\"cell\": \"+\", \"bbox\": [79, 243, 86, 253]}, {\"cell\": \"?\", \"bbox\": [144, 243, 149, 253]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [206, 243, 213, 253]}, {\"cell\": \"+\", \"bbox\": [275, 243, 281, 253]}, {\"cell\": \"+\", \"bbox\": [337, 243, 344, 253]}, {\"cell\": \"?\", \"bbox\": [400, 243, 405, 253]}, {\"cell\": \"+\", \"bbox\": [473, 243, 480, 253]}, {\"cell\": \"No Speech\", \"bbox\": [540, 243, 577, 253]}, {\"cell\": \"No Speech\", \"bbox\": [601, 243, 638, 253]}, {\"cell\": \"Seizure\", \"bbox\": [1, 257, 25, 267]}, {\"cell\": \"+/-\", \"bbox\": [79, 257, 91, 267]}, {\"cell\": \"-\", \"bbox\": [144, 257, 148, 267]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [206, 257, 211, 267]}, {\"cell\": \"+/-\", \"bbox\": [275, 257, 287, 267]}, {\"cell\": \"-\", \"bbox\": [337, 257, 342, 267]}, {\"cell\": \"-\", \"bbox\": [400, 257, 405, 267]}, {\"cell\": \"-\", \"bbox\": [473, 257, 477, 267]}, {\"cell\": \"-\", \"bbox\": [540, 257, 545, 267]}, {\"cell\": \"-\", \"bbox\": [601, 257, 605, 267]}, {\"cell\": \"Strabismus\", \"bbox\": [1, 271, 37, 281]}, {\"cell\": \"+/-\", \"bbox\": [79, 271, 91, 281]}, {\"cell\": \"+\", \"bbox\": [144, 271, 151, 281]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [206, 271, 211, 281]}, {\"cell\": \"+\", \"bbox\": [275, 271, 281, 281]}, {\"cell\": \"+\", \"bbox\": [337, 271, 344, 281]}, {\"cell\": \"-\", \"bbox\": [400, 271, 405, 281]}, {\"cell\": \"-\", \"bbox\": [473, 271, 477, 281]}, {\"cell\": \"+/-\", \"bbox\": [540, 271, 552, 281]}, {\"cell\": \"+\", \"bbox\": [601, 271, 608, 281]}, {\"cell\": \"Neuroimaging\", \"bbox\": [1, 285, 52, 295]}, {\"cell\": \"Absent inferior vermis\", \"bbox\": [1, 299, 50, 318]}, {\"cell\": \"+\", \"bbox\": [79, 299, 86, 309]}, {\"cell\": \"?\", \"bbox\": [144, 299, 149, 309]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [206, 299, 213, 309]}, {\"cell\": \"+\", \"bbox\": [275, 299, 281, 309]}, {\"cell\": \"+\", \"bbox\": [337, 299, 344, 309]}, {\"cell\": \"+\", \"bbox\": [400, 299, 407, 309]}, {\"cell\": \"+\", \"bbox\": [473, 299, 480, 309]}, {\"cell\": \"+\", \"bbox\": [540, 299, 547, 309]}, {\"cell\": \"+\", \"bbox\": [601, 299, 608, 309]}, {\"cell\": \"Hypoplastic inferior-cerebellum\", \"bbox\": [1, 322, 63, 341]}, {\"cell\": \"+\", \"bbox\": [79, 322, 86, 332]}, {\"cell\": \"?\", \"bbox\": [144, 322, 149, 332]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [206, 322, 213, 332]}, {\"cell\": \"+\", \"bbox\": [275, 322, 281, 332]}, {\"cell\": \"+\", \"bbox\": [337, 322, 344, 332]}, {\"cell\": \"+\", \"bbox\": [400, 322, 407, 332]}, {\"cell\": \"+\", \"bbox\": [473, 322, 480, 332]}, {\"cell\": \"+\", \"bbox\": [540, 322, 547, 332]}, {\"cell\": \"+\", \"bbox\": [601, 322, 608, 332]}, {\"cell\": \"Simplified cortical gyri\", \"bbox\": [1, 345, 59, 364]}, {\"cell\": \"+\", \"bbox\": [79, 345, 86, 355]}, {\"cell\": \"?\", \"bbox\": [144, 345, 149, 355]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [206, 345, 213, 355]}, {\"cell\": \"+\", \"bbox\": [275, 345, 281, 355]}, {\"cell\": \"+\", \"bbox\": [337, 345, 344, 355]}, {\"cell\": \"+\", \"bbox\": [400, 345, 407, 355]}, {\"cell\": \"+\", \"bbox\": [473, 345, 480, 355]}, {\"cell\": \"+\", \"bbox\": [540, 345, 547, 355]}, {\"cell\": \"+\", \"bbox\": [601, 345, 608, 355]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3495048_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
SymptomTotal groupYounger1Older2p-value3
(N = 228)(n = 82)(n = 146)
% (n)% (n)% (n)
Nausea, gas or indigestion67 (153)[EMPTY_CELL]70 (102)0.237
Headaches65 (149)[EMPTY_CELL]62 (90)0.117
Dizziness57 (129)[EMPTY_CELL]61 (89)0.075
Constipation, loose bowels, or diarrhea54 (123)[EMPTY_CELL]54 (79)0.948
Feeling heart pound or race54 (122)[EMPTY_CELL]56 (82)0.283
Back pain51 (116)[EMPTY_CELL]50 (73)0.724
Chest pain47 (106)[EMPTY_CELL]44 (64)0.283
Pain in arms, legs or joints, knees, hips49 (111)[EMPTY_CELL]58 (84)[EMPTY_CELL]
Stomach pain45 (103)[EMPTY_CELL]44 (69)0.558
Shortness of breath23 (52)[EMPTY_CELL]22 (32)0.669
Pain or problems during sexual intercourse14 (31)[EMPTY_CELL]10 (15)0.051
Fainting spells4 (8)[EMPTY_CELL]3 (4)0.400
\", \"cells\": [{\"cell\": \"Symptom\", \"bbox\": [1, 4, 36, 13]}, {\"cell\": \"Total group\", \"bbox\": [190, 4, 233, 13]}, {\"cell\": \"Younger1\", \"bbox\": [282, 2, 317, 13]}, {\"cell\": \"Older2\", \"bbox\": [370, 2, 394, 13]}, {\"cell\": \"p-value3\", \"bbox\": [450, 2, 481, 13]}, {\"cell\": \"(N = 228)\", \"bbox\": [195, 17, 228, 27]}, {\"cell\": \"(n = 82)\", \"bbox\": [286, 17, 313, 27]}, {\"cell\": \"(n = 146)\", \"bbox\": [366, 17, 398, 27]}, {\"cell\": \"% (n)\", \"bbox\": [201, 30, 221, 40]}, {\"cell\": \"% (n)\", \"bbox\": [289, 30, 310, 40]}, {\"cell\": \"% (n)\", \"bbox\": [372, 30, 392, 40]}, {\"cell\": \"Nausea, gas or indigestion\", \"bbox\": [1, 43, 87, 53]}, {\"cell\": \"67 (153)\", \"bbox\": [198, 43, 225, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [288, 43, 311, 53]}, {\"cell\": \"70 (102)\", \"bbox\": [368, 43, 396, 53]}, {\"cell\": \"0.237\", \"bbox\": [457, 43, 475, 53]}, {\"cell\": \"Headaches\", \"bbox\": [1, 57, 37, 67]}, {\"cell\": \"65 (149)\", \"bbox\": [198, 57, 225, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [288, 57, 311, 67]}, {\"cell\": \"62 (90)\", \"bbox\": [370, 57, 394, 67]}, {\"cell\": \"0.117\", \"bbox\": [457, 57, 475, 67]}, {\"cell\": \"Dizziness\", \"bbox\": [1, 71, 31, 81]}, {\"cell\": \"57 (129)\", \"bbox\": [198, 71, 225, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [288, 71, 311, 81]}, {\"cell\": \"61 (89)\", \"bbox\": [370, 71, 394, 81]}, {\"cell\": \"0.075\", \"bbox\": [457, 71, 475, 81]}, {\"cell\": \"Constipation, loose bowels, or diarrhea\", \"bbox\": [1, 85, 127, 95]}, {\"cell\": \"54 (123)\", \"bbox\": [198, 85, 225, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [288, 85, 311, 95]}, {\"cell\": \"54 (79)\", \"bbox\": [370, 85, 394, 95]}, {\"cell\": \"0.948\", \"bbox\": [457, 85, 475, 95]}, {\"cell\": \"Feeling heart pound or race\", \"bbox\": [1, 99, 93, 109]}, {\"cell\": \"54 (122)\", \"bbox\": [198, 99, 225, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [288, 99, 311, 109]}, {\"cell\": \"56 (82)\", \"bbox\": [370, 99, 394, 109]}, {\"cell\": \"0.283\", \"bbox\": [457, 99, 475, 109]}, {\"cell\": \"Back pain\", \"bbox\": [1, 113, 33, 123]}, {\"cell\": \"51 (116)\", \"bbox\": [198, 113, 225, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [288, 113, 311, 123]}, {\"cell\": \"50 (73)\", \"bbox\": [370, 113, 394, 123]}, {\"cell\": \"0.724\", \"bbox\": [457, 113, 475, 123]}, {\"cell\": \"Chest pain\", \"bbox\": [1, 127, 37, 137]}, {\"cell\": \"47 (106)\", \"bbox\": [198, 127, 225, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [288, 127, 311, 137]}, {\"cell\": \"44 (64)\", \"bbox\": [370, 127, 394, 137]}, {\"cell\": \"0.283\", \"bbox\": [457, 127, 475, 137]}, {\"cell\": \"Pain in arms, legs or joints, knees, hips\", \"bbox\": [1, 141, 126, 151]}, {\"cell\": \"49 (111)\", \"bbox\": [198, 141, 225, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [288, 141, 311, 151]}, {\"cell\": \"58 (84)\", \"bbox\": [370, 141, 394, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [453, 141, 479, 151]}, {\"cell\": \"Stomach pain\", \"bbox\": [1, 155, 47, 165]}, {\"cell\": \"45 (103)\", \"bbox\": [198, 155, 225, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [288, 155, 311, 165]}, {\"cell\": \"44 (69)\", \"bbox\": [370, 155, 394, 165]}, {\"cell\": \"0.558\", \"bbox\": [457, 155, 475, 165]}, {\"cell\": \"Shortness of breath\", \"bbox\": [1, 169, 65, 179]}, {\"cell\": \"23 (52)\", \"bbox\": [199, 169, 223, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [288, 169, 311, 179]}, {\"cell\": \"22 (32)\", \"bbox\": [370, 169, 394, 179]}, {\"cell\": \"0.669\", \"bbox\": [457, 169, 475, 179]}, {\"cell\": \"Pain or problems during sexual intercourse\", \"bbox\": [1, 183, 141, 193]}, {\"cell\": \"14 (31)\", \"bbox\": [199, 183, 223, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [288, 183, 311, 193]}, {\"cell\": \"10 (15)\", \"bbox\": [370, 183, 394, 193]}, {\"cell\": \"0.051\", \"bbox\": [457, 183, 475, 193]}, {\"cell\": \"Fainting spells\", \"bbox\": [1, 197, 48, 207]}, {\"cell\": \"4 (8)\", \"bbox\": [203, 197, 219, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [291, 197, 308, 207]}, {\"cell\": \"3 (4)\", \"bbox\": [374, 197, 390, 207]}, {\"cell\": \"0.400\", \"bbox\": [457, 197, 475, 207]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3999732_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
InsecticideDateVillageTotal testedNo. of replicates % mortality (95%CI)% blood-fed Anopheles
Bendiocarb (0.1%)May 2011Kyamyorwa1126100%[EMPTY_CELL]100%
Nov 2011Kyamyorwa106784%1(76–90)[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]Kangoma54370%3[EMPTY_CELL]86%
[EMPTY_CELL][EMPTY_CELL]Kikagate100586%[EMPTY_CELL]65%
[EMPTY_CELL][EMPTY_CELL]Kiteme84590%2[EMPTY_CELL]96%
[EMPTY_CELL][EMPTY_CELL]Kisumu strain61497%[EMPTY_CELL][EMPTY_CELL]
DDT (4%)May 2011Kyamyorwa98537%[EMPTY_CELL]100%
[EMPTY_CELL]Nov 2011Kyamyorwa99513%1[EMPTY_CELL]88%
[EMPTY_CELL][EMPTY_CELL]Rwigembe8113%[EMPTY_CELL]36%
[EMPTY_CELL][EMPTY_CELL]Buhuma12117%[EMPTY_CELL]58%
[EMPTY_CELL][EMPTY_CELL]Kikagate20135%[EMPTY_CELL]55%
[EMPTY_CELL][EMPTY_CELL]Kiteme85440%2[EMPTY_CELL]100%
[EMPTY_CELL][EMPTY_CELL]Kisumu strain1004100%[EMPTY_CELL][EMPTY_CELL]
Deltamethrin (0.05%)May 2011Kishuro20170%[EMPTY_CELL]100%
[EMPTY_CELL]Kyamyorwa106528%3(20–38)[EMPTY_CELL]
Permethrin (0.75%)Nov 2011Kiteme98511%[EMPTY_CELL]98%
\", \"cells\": [{\"cell\": \"Insecticide\", \"bbox\": [1, 4, 39, 13]}, {\"cell\": \"Date\", \"bbox\": [82, 4, 100, 13]}, {\"cell\": \"Village\", \"bbox\": [127, 4, 152, 13]}, {\"cell\": \"Total tested\", \"bbox\": [184, 4, 227, 13]}, {\"cell\": \"No. of replicates\", \"bbox\": [240, 4, 298, 13]}, {\"cell\": \" % mortality (95%CI)\", \"bbox\": [315, 4, 386, 13]}, {\"cell\": \"% blood-fed Anopheles\", \"bbox\": [403, 4, 484, 13]}, {\"cell\": \"Bendiocarb (0.1%)\", \"bbox\": [1, 17, 60, 27]}, {\"cell\": \"May 2011\", \"bbox\": [82, 17, 115, 27]}, {\"cell\": \"Kyamyorwa\", \"bbox\": [127, 17, 166, 27]}, {\"cell\": \"112\", \"bbox\": [184, 17, 198, 27]}, {\"cell\": \"6\", \"bbox\": [240, 17, 245, 27]}, {\"cell\": \"100%\", \"bbox\": [311, 17, 330, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 17, 381, 27]}, {\"cell\": \"100%\", \"bbox\": [403, 17, 422, 27]}, {\"cell\": \"Nov 2011\", \"bbox\": [82, 31, 114, 41]}, {\"cell\": \"Kyamyorwa\", \"bbox\": [127, 31, 166, 41]}, {\"cell\": \"106\", \"bbox\": [184, 31, 198, 41]}, {\"cell\": \"7\", \"bbox\": [240, 31, 245, 41]}, {\"cell\": \"84%1\", \"bbox\": [311, 29, 329, 41]}, {\"cell\": \"(76–90)\", \"bbox\": [352, 31, 377, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [403, 31, 418, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Kangoma\", \"bbox\": [127, 45, 159, 55]}, {\"cell\": \"54\", \"bbox\": [184, 45, 194, 55]}, {\"cell\": \"3\", \"bbox\": [240, 45, 245, 55]}, {\"cell\": \"70%3\", \"bbox\": [311, 43, 329, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 45, 377, 55]}, {\"cell\": \"86%\", \"bbox\": [403, 45, 418, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Kikagate\", \"bbox\": [127, 59, 156, 69]}, {\"cell\": \"100\", \"bbox\": [184, 59, 198, 69]}, {\"cell\": \"5\", \"bbox\": [240, 59, 245, 69]}, {\"cell\": \"86%\", \"bbox\": [311, 59, 326, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 59, 377, 69]}, {\"cell\": \"65%\", \"bbox\": [403, 59, 418, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Kiteme\", \"bbox\": [127, 73, 151, 83]}, {\"cell\": \"84\", \"bbox\": [184, 73, 194, 83]}, {\"cell\": \"5\", \"bbox\": [240, 73, 245, 83]}, {\"cell\": \"90%2\", \"bbox\": [311, 71, 329, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 73, 377, 83]}, {\"cell\": \"96%\", \"bbox\": [403, 73, 418, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Kisumu strain\", \"bbox\": [127, 87, 172, 97]}, {\"cell\": \"61\", \"bbox\": [184, 87, 194, 97]}, {\"cell\": \"4\", \"bbox\": [240, 87, 245, 97]}, {\"cell\": \"97%\", \"bbox\": [311, 87, 326, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 87, 381, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"DDT (4%)\", \"bbox\": [1, 101, 33, 111]}, {\"cell\": \"May 2011\", \"bbox\": [82, 101, 115, 111]}, {\"cell\": \"Kyamyorwa\", \"bbox\": [127, 101, 166, 111]}, {\"cell\": \"98\", \"bbox\": [184, 101, 194, 111]}, {\"cell\": \"5\", \"bbox\": [240, 101, 245, 111]}, {\"cell\": \"37%\", \"bbox\": [311, 101, 326, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 101, 377, 111]}, {\"cell\": \"100%\", \"bbox\": [403, 101, 422, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Nov 2011\", \"bbox\": [82, 115, 114, 125]}, {\"cell\": \"Kyamyorwa\", \"bbox\": [127, 115, 166, 125]}, {\"cell\": \"99\", \"bbox\": [184, 115, 194, 125]}, {\"cell\": \"5\", \"bbox\": [240, 115, 245, 125]}, {\"cell\": \"13%1\", \"bbox\": [311, 113, 329, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 115, 373, 125]}, {\"cell\": \"88%\", \"bbox\": [403, 115, 418, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Rwigembe\", \"bbox\": [127, 129, 163, 139]}, {\"cell\": \"8\", \"bbox\": [184, 129, 190, 139]}, {\"cell\": \"1\", \"bbox\": [240, 129, 245, 139]}, {\"cell\": \"13%\", \"bbox\": [311, 129, 326, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 129, 373, 139]}, {\"cell\": \"36%\", \"bbox\": [403, 129, 418, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Buhuma\", \"bbox\": [127, 143, 156, 153]}, {\"cell\": \"12\", \"bbox\": [184, 143, 194, 153]}, {\"cell\": \"1\", \"bbox\": [240, 143, 245, 153]}, {\"cell\": \"17%\", \"bbox\": [311, 143, 326, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 143, 373, 153]}, {\"cell\": \"58%\", \"bbox\": [403, 143, 418, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Kikagate\", \"bbox\": [127, 157, 156, 167]}, {\"cell\": \"20\", \"bbox\": [184, 157, 194, 167]}, {\"cell\": \"1\", \"bbox\": [240, 157, 245, 167]}, {\"cell\": \"35%\", \"bbox\": [311, 157, 326, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 157, 377, 167]}, {\"cell\": \"55%\", \"bbox\": [403, 157, 418, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Kiteme\", \"bbox\": [127, 171, 151, 181]}, {\"cell\": \"85\", \"bbox\": [184, 171, 194, 181]}, {\"cell\": \"4\", \"bbox\": [240, 171, 245, 181]}, {\"cell\": \"40%2\", \"bbox\": [311, 169, 329, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 171, 377, 181]}, {\"cell\": \"100%\", \"bbox\": [403, 171, 422, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Kisumu strain\", \"bbox\": [127, 185, 172, 195]}, {\"cell\": \"100\", \"bbox\": [184, 185, 198, 195]}, {\"cell\": \"4\", \"bbox\": [240, 185, 245, 195]}, {\"cell\": \"100%\", \"bbox\": [311, 185, 330, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 185, 381, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Deltamethrin (0.05%)\", \"bbox\": [1, 199, 69, 209]}, {\"cell\": \"May 2011\", \"bbox\": [82, 199, 115, 209]}, {\"cell\": \"Kishuro\", \"bbox\": [127, 199, 152, 209]}, {\"cell\": \"20\", \"bbox\": [184, 199, 194, 209]}, {\"cell\": \"1\", \"bbox\": [240, 199, 245, 209]}, {\"cell\": \"70%\", \"bbox\": [311, 199, 326, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 199, 377, 209]}, {\"cell\": \"100%\", \"bbox\": [403, 199, 422, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Kyamyorwa\", \"bbox\": [127, 213, 166, 223]}, {\"cell\": \"106\", \"bbox\": [184, 213, 198, 223]}, {\"cell\": \"5\", \"bbox\": [240, 213, 245, 223]}, {\"cell\": \"28%3\", \"bbox\": [311, 211, 329, 223]}, {\"cell\": \"(20–38)\", \"bbox\": [352, 213, 377, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [403, 213, 422, 223]}, {\"cell\": \"Permethrin (0.75%)\", \"bbox\": [1, 227, 63, 237]}, {\"cell\": \"Nov 2011\", \"bbox\": [82, 227, 114, 237]}, {\"cell\": \"Kiteme\", \"bbox\": [127, 227, 151, 237]}, {\"cell\": \"98\", \"bbox\": [184, 227, 194, 237]}, {\"cell\": \"5\", \"bbox\": [240, 227, 245, 237]}, {\"cell\": \"11%\", \"bbox\": [311, 227, 326, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 227, 373, 237]}, {\"cell\": \"98%\", \"bbox\": [403, 227, 418, 237]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3655935_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Total (n = 1066)Mental healthPhysical healthOccupational stressJob satisfactionAbsenteeism
[EMPTY_CELL]%scale 0–100scale 0–100scale 0–20scale 0–35(days per year)
[EMPTY_CELL][EMPTY_CELL]74.9(19.3)76.0(18.6)16.1(2.6)27.4(5.8)7.2(23.0)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]68%73.7(19.7)74.9(19.4)16.3(2.6)27.8(5.7)8.33(24.9)
[EMPTY_CELL]32%77.7(17.6)*78.3(17.1)*15.8(2.4)*27.0(5.6)4.7(17.5)*
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]20%75.8(18.4)80.0(15.5)T (a,b)16.4(2.2)28.3(5.0)T (a,c)6.0(19.7)
[EMPTY_CELL]73%75.0(19.2)75.8(19.2)16.1(2.6)27.5(5.7)6.5(20.8)
[EMPTY_CELL]7%77.8(17.6)76.6(17.0)15.6(2.8)26.2(6.4)4.0(10.2)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]56%74.6(19.2)76.9(19.0)T16.2(2.6)27.4(5.9)6.9(22.9)
[EMPTY_CELL]44%75.6(18.6)74.3(18.7)16.2(2.4)27.7(5.5)8.4(25.4)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]19%73.6(19.6)77.4(17.4)16.28(2.54)27.85(5.92)3.9(11.6)*
[EMPTY_CELL]81%75.4(18.9)75.7(19.0)16.14(2.53)27.36(5.72)8.1(25.0)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]41%76.1(18.4)77.0(18.4)16.1(2.5)27.4(5.6)2.0(18.3)*
[EMPTY_CELL]59%74.2(19.7)75.3(18.9)16.2(2.5)27.6(5.8)8.7(25.6)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]74%75.0(19.3)77.2(17.8)T16.3(2.35)27.4(5.8)6.3(20.4)T
[EMPTY_CELL]26%76.0(17.9)74.5(20.1)15.9(2.6)T27.7(5.3)9.5(25.9)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]6.0%83.5(15.0)**79.7(20.1)14.7(3.2)**28.1(6.7)9.0(22.6)
[EMPTY_CELL]94.0%74.8(19.0)76.2(18.5)16.3(2.4)27.4(5.7)7.2(23.4)
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Total (n = 1066)\", \"bbox\": [102, 4, 157, 13]}, {\"cell\": \"Mental health\", \"bbox\": [166, 4, 216, 13]}, {\"cell\": \"Physical health\", \"bbox\": [225, 4, 279, 13]}, {\"cell\": \"Occupational stress\", \"bbox\": [288, 4, 357, 13]}, {\"cell\": \"Job satisfaction\", \"bbox\": [366, 4, 422, 13]}, {\"cell\": \"Absenteeism\", \"bbox\": [434, 4, 481, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"%\", \"bbox\": [125, 17, 134, 27]}, {\"cell\": \"scale 0–100\", \"bbox\": [170, 17, 212, 27]}, {\"cell\": \"scale 0–100\", \"bbox\": [231, 17, 273, 27]}, {\"cell\": \"scale 0–20\", \"bbox\": [303, 17, 342, 27]}, {\"cell\": \"scale 0–35\", \"bbox\": [375, 17, 413, 27]}, {\"cell\": \"(days per year)\", \"bbox\": [431, 17, 484, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 30, 38, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"74.9(19.3)\", \"bbox\": [175, 30, 207, 40]}, {\"cell\": \"76.0(18.6)\", \"bbox\": [236, 30, 268, 40]}, {\"cell\": \"16.1(2.6)\", \"bbox\": [309, 30, 336, 40]}, {\"cell\": \"27.4(5.8)\", \"bbox\": [380, 30, 408, 40]}, {\"cell\": \"7.2(23.0)\", \"bbox\": [444, 30, 472, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 44, 28, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [68, 58, 93, 68]}, {\"cell\": \"68%\", \"bbox\": [122, 58, 137, 68]}, {\"cell\": \"73.7(19.7)\", \"bbox\": [175, 58, 207, 68]}, {\"cell\": \"74.9(19.4)\", \"bbox\": [236, 58, 268, 68]}, {\"cell\": \"16.3(2.6)\", \"bbox\": [309, 58, 336, 68]}, {\"cell\": \"27.8(5.7)\", \"bbox\": [380, 58, 408, 68]}, {\"cell\": \"8.33(24.9)\", \"bbox\": [442, 58, 473, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [76, 72, 93, 82]}, {\"cell\": \"32%\", \"bbox\": [122, 72, 137, 82]}, {\"cell\": \"77.7(17.6)*\", \"bbox\": [172, 72, 211, 82]}, {\"cell\": \"78.3(17.1)*\", \"bbox\": [232, 72, 272, 82]}, {\"cell\": \"15.8(2.4)*\", \"bbox\": [305, 72, 340, 82]}, {\"cell\": \"27.0(5.6)\", \"bbox\": [380, 72, 408, 82]}, {\"cell\": \"4.7(17.5)*\", \"bbox\": [440, 72, 475, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 86, 16, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [57, 100, 93, 110]}, {\"cell\": \"20%\", \"bbox\": [122, 100, 137, 110]}, {\"cell\": \"75.8(18.4)\", \"bbox\": [175, 100, 207, 110]}, {\"cell\": \"80.0(15.5)T (a,b)\", \"bbox\": [226, 99, 278, 110]}, {\"cell\": \"16.4(2.2)\", \"bbox\": [309, 100, 336, 110]}, {\"cell\": \"28.3(5.0)T (a,c)\", \"bbox\": [370, 99, 418, 110]}, {\"cell\": \"6.0(19.7)\", \"bbox\": [444, 100, 472, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [53, 114, 93, 124]}, {\"cell\": \"73%\", \"bbox\": [122, 114, 137, 124]}, {\"cell\": \"75.0(19.2)\", \"bbox\": [175, 114, 207, 124]}, {\"cell\": \"75.8(19.2)\", \"bbox\": [236, 114, 268, 124]}, {\"cell\": \"16.1(2.6)\", \"bbox\": [309, 114, 336, 124]}, {\"cell\": \"27.5(5.7)\", \"bbox\": [380, 114, 408, 124]}, {\"cell\": \"6.5(20.8)\", \"bbox\": [444, 114, 472, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [57, 128, 93, 138]}, {\"cell\": \"7%\", \"bbox\": [124, 128, 135, 138]}, {\"cell\": \"77.8(17.6)\", \"bbox\": [175, 128, 207, 138]}, {\"cell\": \"76.6(17.0)\", \"bbox\": [236, 128, 268, 138]}, {\"cell\": \"15.6(2.8)\", \"bbox\": [309, 128, 336, 138]}, {\"cell\": \"26.2(6.4)\", \"bbox\": [380, 128, 408, 138]}, {\"cell\": \"4.0(10.2)\", \"bbox\": [444, 128, 472, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 142, 16, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [54, 155, 93, 166]}, {\"cell\": \"56%\", \"bbox\": [122, 156, 137, 166]}, {\"cell\": \"74.6(19.2)\", \"bbox\": [175, 156, 207, 166]}, {\"cell\": \"76.9(19.0)T\", \"bbox\": [233, 155, 271, 166]}, {\"cell\": \"16.2(2.6)\", \"bbox\": [309, 156, 336, 166]}, {\"cell\": \"27.4(5.9)\", \"bbox\": [380, 156, 408, 166]}, {\"cell\": \"6.9(22.9)\", \"bbox\": [444, 156, 472, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [54, 169, 93, 180]}, {\"cell\": \"44%\", \"bbox\": [122, 170, 137, 180]}, {\"cell\": \"75.6(18.6)\", \"bbox\": [175, 170, 207, 180]}, {\"cell\": \"74.3(18.7)\", \"bbox\": [236, 170, 268, 180]}, {\"cell\": \"16.2(2.4)\", \"bbox\": [309, 170, 336, 180]}, {\"cell\": \"27.7(5.5)\", \"bbox\": [380, 170, 408, 180]}, {\"cell\": \"8.4(25.4)\", \"bbox\": [444, 170, 472, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 184, 85, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [24, 198, 93, 208]}, {\"cell\": \"19%\", \"bbox\": [122, 198, 137, 208]}, {\"cell\": \"73.6(19.6)\", \"bbox\": [175, 198, 207, 208]}, {\"cell\": \"77.4(17.4)\", \"bbox\": [236, 198, 268, 208]}, {\"cell\": \"16.28(2.54)\", \"bbox\": [305, 198, 340, 208]}, {\"cell\": \"27.85(5.92)\", \"bbox\": [376, 198, 412, 208]}, {\"cell\": \"3.9(11.6)*\", \"bbox\": [440, 198, 475, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [24, 212, 93, 222]}, {\"cell\": \"81%\", \"bbox\": [122, 212, 137, 222]}, {\"cell\": \"75.4(18.9)\", \"bbox\": [175, 212, 207, 222]}, {\"cell\": \"75.7(19.0)\", \"bbox\": [236, 212, 268, 222]}, {\"cell\": \"16.14(2.53)\", \"bbox\": [305, 212, 340, 222]}, {\"cell\": \"27.36(5.72)\", \"bbox\": [376, 212, 412, 222]}, {\"cell\": \"8.1(25.0)\", \"bbox\": [444, 212, 472, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 226, 93, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 240, 93, 250]}, {\"cell\": \"41%\", \"bbox\": [122, 240, 137, 250]}, {\"cell\": \"76.1(18.4)\", \"bbox\": [175, 240, 207, 250]}, {\"cell\": \"77.0(18.4)\", \"bbox\": [236, 240, 268, 250]}, {\"cell\": \"16.1(2.5)\", \"bbox\": [309, 240, 336, 250]}, {\"cell\": \"27.4(5.6)\", \"bbox\": [380, 240, 408, 250]}, {\"cell\": \"2.0(18.3)*\", \"bbox\": [440, 240, 475, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [81, 254, 93, 264]}, {\"cell\": \"59%\", \"bbox\": [122, 254, 137, 264]}, {\"cell\": \"74.2(19.7)\", \"bbox\": [175, 254, 207, 264]}, {\"cell\": \"75.3(18.9)\", \"bbox\": [236, 254, 268, 264]}, {\"cell\": \"16.2(2.5)\", \"bbox\": [309, 254, 336, 264]}, {\"cell\": \"27.6(5.8)\", \"bbox\": [380, 254, 408, 264]}, {\"cell\": \"8.7(25.6)\", \"bbox\": [444, 254, 472, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 268, 62, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [30, 282, 93, 292]}, {\"cell\": \"74%\", \"bbox\": [122, 282, 137, 292]}, {\"cell\": \"75.0(19.3)\", \"bbox\": [175, 282, 207, 292]}, {\"cell\": \"77.2(17.8)T\", \"bbox\": [233, 281, 271, 292]}, {\"cell\": \"16.3(2.35)\", \"bbox\": [307, 282, 338, 292]}, {\"cell\": \"27.4(5.8)\", \"bbox\": [380, 282, 408, 292]}, {\"cell\": \"6.3(20.4)T\", \"bbox\": [440, 281, 475, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [38, 296, 93, 306]}, {\"cell\": \"26%\", \"bbox\": [122, 296, 137, 306]}, {\"cell\": \"76.0(17.9)\", \"bbox\": [175, 296, 207, 306]}, {\"cell\": \"74.5(20.1)\", \"bbox\": [236, 296, 268, 306]}, {\"cell\": \"15.9(2.6)T\", \"bbox\": [305, 295, 340, 306]}, {\"cell\": \"27.7(5.3)\", \"bbox\": [380, 296, 408, 306]}, {\"cell\": \"9.5(25.9)\", \"bbox\": [444, 296, 472, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 310, 39, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [57, 324, 93, 334]}, {\"cell\": \"6.0%\", \"bbox\": [121, 324, 138, 334]}, {\"cell\": \"83.5(15.0)**\", \"bbox\": [170, 324, 212, 334]}, {\"cell\": \"79.7(20.1)\", \"bbox\": [236, 324, 268, 334]}, {\"cell\": \"14.7(3.2)**\", \"bbox\": [303, 324, 342, 334]}, {\"cell\": \"28.1(6.7)\", \"bbox\": [380, 324, 408, 334]}, {\"cell\": \"9.0(22.6)\", \"bbox\": [444, 324, 472, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [44, 338, 93, 348]}, {\"cell\": \"94.0%\", \"bbox\": [119, 338, 140, 348]}, {\"cell\": \"74.8(19.0)\", \"bbox\": [175, 338, 207, 348]}, {\"cell\": \"76.2(18.5)\", \"bbox\": [236, 338, 268, 348]}, {\"cell\": \"16.3(2.4)\", \"bbox\": [309, 338, 336, 348]}, {\"cell\": \"27.4(5.7)\", \"bbox\": [380, 338, 408, 348]}, {\"cell\": \"7.2(23.4)\", \"bbox\": [444, 338, 472, 348]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4066273_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL][EMPTY_CELL]ECAEMMAp-value
MUC1* & P16MUC1+, P16-0 (0%)10 (100%)[EMPTY_CELL]
[EMPTY_CELL]MUC1-, P16+8 (100%)0 (0%)[EMPTY_CELL]
MUC1 & VIMMUC1+, VIM+1 (7.7%)9 (69.2%)[EMPTY_CELL]
[EMPTY_CELL]MUC1-, VIM-12 (92.3%)4 (30.8%)[EMPTY_CELL]
MUC1 & ERMUC1+, ER+0 (0%)13 (100%)[EMPTY_CELL]
[EMPTY_CELL]MUC1-, ER-9 (100%)0 (0%)[EMPTY_CELL]
MUC1 & PRMUC1+, PR+0 (0%)12 (72.2%)[EMPTY_CELL]
[EMPTY_CELL]MUC1-, PR-9 (100%)0 (27.8%)[EMPTY_CELL]
P16 & VIMP16-, VIM+0 (0%)7 (77.8%)[EMPTY_CELL]
[EMPTY_CELL]P16+, VIM-9 (100%)2 (22.2%)[EMPTY_CELL]
P16 & ERP16-, ER+1 (11.1%)14 (93.3%)[EMPTY_CELL]
[EMPTY_CELL]P16+, ER-8 (88.9%)1 (6.7%)[EMPTY_CELL]
P16 & PRP16-, PR+2 (18.2%)13 (92.9%)[EMPTY_CELL]
[EMPTY_CELL]P16+, PR-9 (81.8%)1 (7.1%)[EMPTY_CELL]
VIM & ERVIM+, ER+0 (0%)9 (90%)[EMPTY_CELL]
[EMPTY_CELL]VIM-, ER-10 (100%)1 (10%)[EMPTY_CELL]
VIM & PRVIM+, PR+0 (0%)8 (88.9%)[EMPTY_CELL]
[EMPTY_CELL]VIM-, PR-10 (100%)1 (11.1%)[EMPTY_CELL]
ER & PRER+, PR+2 (16.7%)15 (100%)[EMPTY_CELL]
[EMPTY_CELL]ER-, PR-10 (83.3%)0 (0%)[EMPTY_CELL]
MUC1, ER & PRMUC1+, ER+, PR+0 (0%)11 (100%)[EMPTY_CELL]
[EMPTY_CELL]MUC1-, ER-, PR-8 (100%)0 (0%)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"ECA\", \"bbox\": [204, 5, 224, 14]}, {\"cell\": \"EMMA\", \"bbox\": [304, 5, 332, 14]}, {\"cell\": \"p-value\", \"bbox\": [404, 5, 428, 14]}, {\"cell\": \"MUC1* & P16\", \"bbox\": [4, 27, 61, 36]}, {\"cell\": \"MUC1+, P16-\", \"bbox\": [104, 27, 152, 36]}, {\"cell\": \"0 (0%)\", \"bbox\": [204, 27, 228, 36]}, {\"cell\": \"10 (100%)\", \"bbox\": [304, 27, 340, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 27, 424, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"MUC1-, P16+\", \"bbox\": [104, 37, 153, 47]}, {\"cell\": \"8 (100%)\", \"bbox\": [204, 37, 236, 47]}, {\"cell\": \"0 (0%)\", \"bbox\": [304, 37, 327, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"MUC1 & VIM\", \"bbox\": [4, 47, 58, 56]}, {\"cell\": \"MUC1+, VIM+\", \"bbox\": [104, 47, 156, 57]}, {\"cell\": \"1 (7.7%)\", \"bbox\": [204, 47, 233, 57]}, {\"cell\": \"9 (69.2%)\", \"bbox\": [304, 47, 337, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 47, 424, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"MUC1-, VIM-\", \"bbox\": [104, 57, 151, 67]}, {\"cell\": \"12 (92.3%)\", \"bbox\": [204, 57, 242, 67]}, {\"cell\": \"4 (30.8%)\", \"bbox\": [304, 57, 337, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"MUC1 & ER\", \"bbox\": [4, 68, 53, 77]}, {\"cell\": \"MUC1+, ER+\", \"bbox\": [104, 68, 151, 77]}, {\"cell\": \"0 (0%)\", \"bbox\": [204, 68, 227, 77]}, {\"cell\": \"13 (100%)\", \"bbox\": [304, 68, 340, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 68, 424, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"MUC1-, ER-\", \"bbox\": [104, 78, 147, 88]}, {\"cell\": \"9 (100%)\", \"bbox\": [204, 78, 236, 88]}, {\"cell\": \"0 (0%)\", \"bbox\": [304, 78, 327, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"MUC1 & PR\", \"bbox\": [4, 88, 53, 97]}, {\"cell\": \"MUC1+, PR+\", \"bbox\": [104, 88, 151, 98]}, {\"cell\": \"0 (0%)\", \"bbox\": [204, 88, 227, 98]}, {\"cell\": \"12 (72.2%)\", \"bbox\": [304, 88, 341, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 88, 424, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"MUC1-, PR-\", \"bbox\": [104, 99, 147, 108]}, {\"cell\": \"9 (100%)\", \"bbox\": [204, 99, 236, 108]}, {\"cell\": \"0 (27.8%)\", \"bbox\": [304, 99, 337, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"P16 & VIM\", \"bbox\": [4, 109, 48, 118]}, {\"cell\": \"P16-, VIM+\", \"bbox\": [104, 109, 144, 118]}, {\"cell\": \"0 (0%)\", \"bbox\": [204, 109, 228, 118]}, {\"cell\": \"7 (77.8%)\", \"bbox\": [304, 109, 337, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 109, 424, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"P16+, VIM-\", \"bbox\": [104, 119, 144, 129]}, {\"cell\": \"9 (100%)\", \"bbox\": [204, 119, 236, 129]}, {\"cell\": \"2 (22.2%)\", \"bbox\": [304, 119, 337, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"P16 & ER\", \"bbox\": [4, 129, 43, 138]}, {\"cell\": \"P16-, ER+\", \"bbox\": [104, 129, 139, 139]}, {\"cell\": \"1 (11.1%)\", \"bbox\": [204, 129, 238, 139]}, {\"cell\": \"14 (93.3%)\", \"bbox\": [304, 129, 341, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 129, 424, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"P16+, ER-\", \"bbox\": [104, 140, 139, 149]}, {\"cell\": \"8 (88.9%)\", \"bbox\": [204, 140, 238, 149]}, {\"cell\": \"1 (6.7%)\", \"bbox\": [304, 140, 333, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"P16 & PR\", \"bbox\": [4, 150, 43, 159]}, {\"cell\": \"P16-, PR+\", \"bbox\": [104, 150, 139, 159]}, {\"cell\": \"2 (18.2%)\", \"bbox\": [204, 150, 238, 159]}, {\"cell\": \"13 (92.9%)\", \"bbox\": [304, 150, 341, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 150, 424, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"P16+, PR-\", \"bbox\": [104, 160, 139, 170]}, {\"cell\": \"9 (81.8%)\", \"bbox\": [204, 160, 238, 170]}, {\"cell\": \"1 (7.1%)\", \"bbox\": [304, 160, 333, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"VIM & ER\", \"bbox\": [4, 170, 44, 179]}, {\"cell\": \"VIM+, ER+\", \"bbox\": [104, 170, 143, 180]}, {\"cell\": \"0 (0%)\", \"bbox\": [204, 170, 228, 180]}, {\"cell\": \"9 (90%)\", \"bbox\": [304, 170, 331, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 170, 424, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"VIM-, ER-\", \"bbox\": [104, 180, 138, 190]}, {\"cell\": \"10 (100%)\", \"bbox\": [204, 180, 240, 190]}, {\"cell\": \"1 (10%)\", \"bbox\": [304, 180, 331, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"VIM & PR\", \"bbox\": [4, 191, 44, 200]}, {\"cell\": \"VIM+, PR+\", \"bbox\": [104, 191, 143, 200]}, {\"cell\": \"0 (0%)\", \"bbox\": [204, 191, 227, 200]}, {\"cell\": \"8 (88.9%)\", \"bbox\": [304, 191, 337, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 191, 424, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"VIM-, PR-\", \"bbox\": [104, 201, 138, 211]}, {\"cell\": \"10 (100%)\", \"bbox\": [204, 201, 240, 211]}, {\"cell\": \"1 (11.1%)\", \"bbox\": [304, 201, 337, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"ER & PR\", \"bbox\": [4, 211, 39, 220]}, {\"cell\": \"ER+, PR+\", \"bbox\": [104, 211, 138, 221]}, {\"cell\": \"2 (16.7%)\", \"bbox\": [204, 211, 238, 221]}, {\"cell\": \"15 (100%)\", \"bbox\": [304, 211, 340, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 211, 424, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"ER-, PR-\", \"bbox\": [104, 222, 134, 231]}, {\"cell\": \"10 (83.3%)\", \"bbox\": [204, 222, 242, 231]}, {\"cell\": \"0 (0%)\", \"bbox\": [304, 222, 327, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"MUC1, ER & PR\", \"bbox\": [4, 232, 68, 241]}, {\"cell\": \"MUC1+, ER+, PR+\", \"bbox\": [104, 232, 169, 241]}, {\"cell\": \"0 (0%)\", \"bbox\": [204, 232, 227, 241]}, {\"cell\": \"11 (100%)\", \"bbox\": [304, 232, 340, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 232, 424, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"MUC1-, ER-, PR-\", \"bbox\": [104, 242, 163, 252]}, {\"cell\": \"8 (100%)\", \"bbox\": [204, 242, 236, 252]}, {\"cell\": \"0 (0%)\", \"bbox\": [304, 242, 327, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC1382242_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
SpeciesBlastNTBlastX
HitsAverage SimilarityHitsAverage Similarity
[EMPTY_CELL]0–0–
[EMPTY_CELL]0–0–
[EMPTY_CELL]0–0–
[EMPTY_CELL]0–853.16
[EMPTY_CELL]0–0–
[EMPTY_CELL]381.902652.81
[EMPTY_CELL]182.631055.03
[EMPTY_CELL]0–1151.21
[EMPTY_CELL]0–747.33
[EMPTY_CELL]0–550.75
[EMPTY_CELL]0–1651.30
[EMPTY_CELL]281.832954.94
[EMPTY_CELL]0–1049.91
[EMPTY_CELL]182.604652.86
[EMPTY_CELL]0–648.76
[EMPTY_CELL]0–1049.17
[EMPTY_CELL]0–248.99
[EMPTY_CELL]2887.485565.50
[EMPTY_CELL]390.172856.54
[EMPTY_CELL]0–0–
[EMPTY_CELL]0–0–
[EMPTY_CELL]0–0–
[EMPTY_CELL]0–838.54
[EMPTY_CELL]0–141.82
[EMPTY_CELL]0–0–
[EMPTY_CELL]0–0–
[EMPTY_CELL]0–141.96
[EMPTY_CELL]0–3242.47
[EMPTY_CELL]0–1142.23
[EMPTY_CELL]0–1541.43
[EMPTY_CELL]0–2741.6
[EMPTY_CELL]0–0–
[EMPTY_CELL]0–0–
[EMPTY_CELL]0–0–
[EMPTY_CELL]0–0–
[EMPTY_CELL]0–539.27
[EMPTY_CELL]0–945.06
[EMPTY_CELL]0–138.74
[EMPTY_CELL]0–738.93
[EMPTY_CELL]0–1037.68
[EMPTY_CELL]0–2438.88
[EMPTY_CELL]0–246.91
[EMPTY_CELL]0–8343.16
[EMPTY_CELL]0–5943.43
[EMPTY_CELL]0–0–
[EMPTY_CELL]0–0–
[EMPTY_CELL]0–5443.22
[EMPTY_CELL]0–0–
\", \"cells\": [{\"cell\": \"Species\", \"bbox\": [1, 4, 27, 13]}, {\"cell\": \"BlastN\", \"bbox\": [126, 4, 149, 13]}, {\"cell\": \"TBlastX\", \"bbox\": [195, 4, 222, 13]}, {\"cell\": \"Hits\", \"bbox\": [108, 25, 123, 34]}, {\"cell\": \"Average Similarity\", \"bbox\": [134, 25, 167, 45]}, {\"cell\": \"Hits\", \"bbox\": [179, 25, 194, 34]}, {\"cell\": \"Average Similarity\", \"bbox\": [205, 25, 238, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 49, 58, 58]}, {\"cell\": \"0\", \"bbox\": [114, 49, 120, 57]}, {\"cell\": \"–\", \"bbox\": [145, 49, 151, 57]}, {\"cell\": \"0\", \"bbox\": [185, 49, 191, 57]}, {\"cell\": \"–\", \"bbox\": [216, 49, 222, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 60, 41, 69]}, {\"cell\": \"0\", \"bbox\": [114, 60, 120, 68]}, {\"cell\": \"–\", \"bbox\": [145, 60, 151, 68]}, {\"cell\": \"0\", \"bbox\": [185, 60, 191, 68]}, {\"cell\": \"–\", \"bbox\": [216, 60, 222, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 71, 40, 81]}, {\"cell\": \"0\", \"bbox\": [114, 72, 120, 79]}, {\"cell\": \"–\", \"bbox\": [145, 72, 151, 79]}, {\"cell\": \"0\", \"bbox\": [185, 72, 191, 79]}, {\"cell\": \"–\", \"bbox\": [216, 72, 222, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 83, 37, 92]}, {\"cell\": \"0\", \"bbox\": [114, 83, 120, 90]}, {\"cell\": \"–\", \"bbox\": [145, 83, 151, 90]}, {\"cell\": \"8\", \"bbox\": [185, 83, 191, 90]}, {\"cell\": \"53.16\", \"bbox\": [212, 83, 231, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 94, 33, 103]}, {\"cell\": \"0\", \"bbox\": [114, 94, 120, 102]}, {\"cell\": \"–\", \"bbox\": [145, 94, 151, 102]}, {\"cell\": \"0\", \"bbox\": [185, 94, 191, 102]}, {\"cell\": \"–\", \"bbox\": [216, 94, 222, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 105, 44, 114]}, {\"cell\": \"3\", \"bbox\": [114, 105, 120, 113]}, {\"cell\": \"81.90\", \"bbox\": [141, 105, 160, 113]}, {\"cell\": \"26\", \"bbox\": [181, 105, 191, 113]}, {\"cell\": \"52.81\", \"bbox\": [212, 105, 231, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 116, 43, 126]}, {\"cell\": \"1\", \"bbox\": [114, 117, 120, 124]}, {\"cell\": \"82.63\", \"bbox\": [141, 117, 160, 124]}, {\"cell\": \"10\", \"bbox\": [181, 117, 191, 124]}, {\"cell\": \"55.03\", \"bbox\": [212, 117, 231, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 127, 45, 137]}, {\"cell\": \"0\", \"bbox\": [114, 128, 120, 135]}, {\"cell\": \"–\", \"bbox\": [145, 128, 151, 135]}, {\"cell\": \"11\", \"bbox\": [181, 128, 191, 135]}, {\"cell\": \"51.21\", \"bbox\": [212, 128, 231, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 139, 46, 148]}, {\"cell\": \"0\", \"bbox\": [114, 139, 120, 146]}, {\"cell\": \"–\", \"bbox\": [145, 139, 151, 146]}, {\"cell\": \"7\", \"bbox\": [185, 139, 191, 146]}, {\"cell\": \"47.33\", \"bbox\": [212, 139, 231, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 150, 38, 159]}, {\"cell\": \"0\", \"bbox\": [114, 150, 120, 158]}, {\"cell\": \"–\", \"bbox\": [145, 150, 151, 158]}, {\"cell\": \"5\", \"bbox\": [185, 150, 191, 158]}, {\"cell\": \"50.75\", \"bbox\": [212, 150, 231, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 161, 42, 171]}, {\"cell\": \"0\", \"bbox\": [114, 162, 120, 169]}, {\"cell\": \"–\", \"bbox\": [145, 162, 151, 169]}, {\"cell\": \"16\", \"bbox\": [181, 162, 191, 169]}, {\"cell\": \"51.30\", \"bbox\": [212, 162, 231, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 172, 42, 182]}, {\"cell\": \"2\", \"bbox\": [114, 173, 120, 180]}, {\"cell\": \"81.83\", \"bbox\": [141, 173, 160, 180]}, {\"cell\": \"29\", \"bbox\": [181, 173, 191, 180]}, {\"cell\": \"54.94\", \"bbox\": [212, 173, 231, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 184, 47, 193]}, {\"cell\": \"0\", \"bbox\": [114, 184, 120, 191]}, {\"cell\": \"–\", \"bbox\": [145, 184, 151, 191]}, {\"cell\": \"10\", \"bbox\": [181, 184, 191, 191]}, {\"cell\": \"49.91\", \"bbox\": [212, 184, 231, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 195, 49, 204]}, {\"cell\": \"1\", \"bbox\": [114, 195, 120, 203]}, {\"cell\": \"82.60\", \"bbox\": [141, 195, 160, 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\"[EMPTY_CELL]\", \"bbox\": [1, 453, 81, 463]}, {\"cell\": \"0\", \"bbox\": [114, 454, 120, 461]}, {\"cell\": \"–\", \"bbox\": [145, 454, 151, 461]}, {\"cell\": \"9\", \"bbox\": [185, 454, 191, 461]}, {\"cell\": \"45.06\", \"bbox\": [212, 454, 231, 461]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 465, 55, 474]}, {\"cell\": \"0\", \"bbox\": [114, 465, 120, 472]}, {\"cell\": \"–\", \"bbox\": [145, 465, 151, 472]}, {\"cell\": \"1\", \"bbox\": [185, 465, 191, 472]}, {\"cell\": \"38.74\", \"bbox\": [212, 465, 231, 472]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 476, 45, 485]}, {\"cell\": \"0\", \"bbox\": [114, 476, 120, 484]}, {\"cell\": \"–\", \"bbox\": [145, 476, 151, 484]}, {\"cell\": \"7\", \"bbox\": [185, 476, 191, 484]}, {\"cell\": \"38.93\", \"bbox\": [212, 476, 231, 484]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 487, 78, 496]}, {\"cell\": \"0\", \"bbox\": [114, 487, 120, 495]}, {\"cell\": \"–\", \"bbox\": [145, 487, 151, 495]}, {\"cell\": \"10\", \"bbox\": [181, 487, 191, 495]}, {\"cell\": \"37.68\", \"bbox\": [212, 487, 231, 495]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 498, 69, 508]}, {\"cell\": \"0\", \"bbox\": [114, 499, 120, 506]}, {\"cell\": \"–\", \"bbox\": [145, 499, 151, 506]}, {\"cell\": \"24\", \"bbox\": [181, 499, 191, 506]}, {\"cell\": \"38.88\", \"bbox\": [212, 499, 231, 506]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 510, 88, 519]}, {\"cell\": \"0\", \"bbox\": [114, 510, 120, 517]}, {\"cell\": \"–\", \"bbox\": [145, 510, 151, 517]}, {\"cell\": \"2\", \"bbox\": [185, 510, 191, 517]}, {\"cell\": \"46.91\", \"bbox\": [212, 510, 231, 517]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 521, 62, 530]}, {\"cell\": \"0\", \"bbox\": [114, 521, 120, 529]}, {\"cell\": \"–\", \"bbox\": [145, 521, 151, 529]}, {\"cell\": \"83\", \"bbox\": [181, 521, 191, 529]}, {\"cell\": \"43.16\", \"bbox\": [212, 521, 231, 529]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 532, 33, 541]}, {\"cell\": \"0\", \"bbox\": [114, 532, 120, 540]}, {\"cell\": \"–\", \"bbox\": [145, 532, 151, 540]}, {\"cell\": \"59\", \"bbox\": [181, 532, 191, 540]}, {\"cell\": \"43.43\", \"bbox\": [212, 532, 231, 540]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 543, 38, 553]}, {\"cell\": \"0\", \"bbox\": [114, 544, 120, 551]}, {\"cell\": \"–\", \"bbox\": [145, 544, 151, 551]}, {\"cell\": \"0\", \"bbox\": [185, 544, 191, 551]}, {\"cell\": \"–\", \"bbox\": [216, 544, 222, 551]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 555, 96, 564]}, {\"cell\": \"0\", \"bbox\": [114, 555, 120, 562]}, {\"cell\": \"–\", \"bbox\": [145, 555, 151, 562]}, {\"cell\": \"0\", \"bbox\": [185, 555, 191, 562]}, {\"cell\": \"–\", \"bbox\": [216, 555, 222, 562]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 566, 59, 575]}, {\"cell\": \"0\", \"bbox\": [114, 566, 120, 574]}, {\"cell\": \"–\", \"bbox\": [145, 566, 151, 574]}, {\"cell\": \"54\", \"bbox\": [181, 566, 191, 574]}, {\"cell\": \"43.22\", \"bbox\": [212, 566, 231, 574]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 577, 83, 586]}, {\"cell\": \"0\", \"bbox\": [114, 577, 120, 585]}, {\"cell\": \"–\", \"bbox\": [145, 577, 151, 585]}, {\"cell\": \"0\", \"bbox\": [185, 577, 191, 585]}, {\"cell\": \"–\", \"bbox\": [216, 577, 222, 585]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3942097_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Football playersN = 30
Demographic information[EMPTY_CELL]
Age (year), mean (SD)[EMPTY_CELL]
Gender (male/female)[EMPTY_CELL]
Clinical characteristics[EMPTY_CELL]
POMS, mean (SD)[EMPTY_CELL]
Tension[EMPTY_CELL]
Depression[EMPTY_CELL]
Anger[EMPTY_CELL]
Fatigue[EMPTY_CELL]
Confusion[EMPTY_CELL]
Vigor[EMPTY_CELL]
TMD[EMPTY_CELL]
ImPACT PCSS, mean (SD)[EMPTY_CELL]
Brain volume (mm3), mean (SD)[EMPTY_CELL]
Left amygdala[EMPTY_CELL]
Right amygdala[EMPTY_CELL]
eTIV (cm3)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Football playersN = 30\", \"bbox\": [180, 4, 239, 27]}, {\"cell\": \"Demographic information\", \"bbox\": [2, 28, 96, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Age (year), mean (SD)\", \"bbox\": [2, 41, 85, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [189, 41, 231, 52]}, {\"cell\": \"Gender (male/female)\", \"bbox\": [2, 54, 84, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 54, 219, 65]}, {\"cell\": \"Clinical characteristics\", \"bbox\": [2, 68, 83, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"POMS, mean (SD)\", \"bbox\": [2, 81, 71, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Tension\", \"bbox\": [2, 95, 33, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 95, 230, 105]}, {\"cell\": \"Depression\", \"bbox\": [2, 108, 45, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 108, 229, 119]}, {\"cell\": \"Anger\", \"bbox\": [2, 121, 27, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 121, 229, 132]}, {\"cell\": \"Fatigue\", \"bbox\": [2, 134, 31, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 134, 230, 145]}, {\"cell\": \"Confusion\", \"bbox\": [2, 148, 42, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 148, 229, 158]}, {\"cell\": \"Vigor\", \"bbox\": [2, 161, 25, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [189, 161, 230, 172]}, {\"cell\": \"TMD\", \"bbox\": [2, 174, 25, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [187, 174, 233, 185]}, {\"cell\": \"ImPACT PCSS, mean (SD)\", \"bbox\": [2, 186, 102, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 188, 229, 199]}, {\"cell\": \"Brain volume (mm3), mean (SD)\", \"bbox\": [2, 201, 121, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Left amygdala\", \"bbox\": [2, 215, 55, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 215, 237, 225]}, {\"cell\": \"Right amygdala\", \"bbox\": [2, 228, 60, 239]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [181, 228, 238, 239]}, {\"cell\": \"eTIV (cm3)\", \"bbox\": [2, 237, 46, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [179, 241, 240, 252]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5822786_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Characteristic No. (%)All patientsN = 930DMN = 130
2009-10N = 5392013-14N = 391p-value2009-10 N = 642013-14 N = 66p-value
Age (years, mean ± SD)43 ± 2145 ± 210.1160 ± 1863 ± 13[EMPTY_CELL]
Male309 (57)216 (55)0.5535 (55)43 (65)[EMPTY_CELL]
HIV positive19 (4)20 (5)0.3201 (2)[EMPTY_CELL]
Diseases site
Pulmonary only359 (67)269 (69)0.1953 (83)54 (82)[EMPTY_CELL]
Extra-Pulmonary only100 (19)87 (22)0.6711 (17)12 (18)[EMPTY_CELL]
Both80 (15)35 (9)0.035 (17)7 (11)[EMPTY_CELL]
Sputum culture positive287 (53)214 (55)0.4336 (56)40 (61)[EMPTY_CELL]
Sputum smear positive215 (40)161 (41)0.1533 (52)32 (49)[EMPTY_CELL]
Cavitary lesion181 (34)131 (34)0.8927 (42)29 (44)[EMPTY_CELL]
INH Resistant43 (10)26 (9)0.992 (4)4 (8)[EMPTY_CELL]
RIF Resistant3 (1)6 (2)0.7001 (2)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Characteristic No. (%)\", \"bbox\": [1, 4, 45, 22]}, {\"cell\": \"All patientsN = 930\", \"bbox\": [120, 4, 157, 22]}, {\"cell\": \"DMN = 130\", \"bbox\": [324, 4, 350, 22]}, {\"cell\": \"2009-10N = 539\", \"bbox\": [120, 26, 147, 45]}, {\"cell\": \"2013-14N = 391\", \"bbox\": [189, 26, 216, 45]}, {\"cell\": \"p-value\", \"bbox\": [258, 26, 283, 36]}, {\"cell\": \"2009-10 N = 64\", \"bbox\": [324, 26, 351, 45]}, {\"cell\": \"2013-14 N = 66\", \"bbox\": [392, 26, 419, 45]}, {\"cell\": \"p-value\", \"bbox\": [459, 26, 484, 36]}, {\"cell\": \"Age (years, mean ± SD)\", \"bbox\": [1, 48, 77, 58]}, {\"cell\": \"43 ± 21\", \"bbox\": [120, 48, 145, 58]}, {\"cell\": \"45 ± 21\", \"bbox\": [189, 48, 214, 58]}, {\"cell\": \"0.11\", \"bbox\": [258, 48, 273, 58]}, {\"cell\": \"60 ± 18\", \"bbox\": [324, 48, 349, 58]}, {\"cell\": \"63 ± 13\", \"bbox\": [392, 48, 417, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 48, 474, 58]}, {\"cell\": \"Male\", \"bbox\": [1, 62, 18, 72]}, {\"cell\": \"309 (57)\", \"bbox\": [120, 62, 147, 72]}, {\"cell\": \"216 (55)\", \"bbox\": [189, 62, 217, 72]}, {\"cell\": \"0.55\", \"bbox\": [258, 62, 273, 72]}, {\"cell\": \"35 (55)\", \"bbox\": [324, 62, 348, 72]}, {\"cell\": \"43 (65)\", \"bbox\": [392, 62, 415, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 62, 474, 72]}, {\"cell\": \"HIV positive\", \"bbox\": [1, 76, 40, 86]}, {\"cell\": \"19 (4)\", \"bbox\": [120, 76, 140, 86]}, {\"cell\": \"20 (5)\", \"bbox\": [189, 76, 209, 86]}, {\"cell\": \"0.32\", \"bbox\": [258, 76, 273, 86]}, {\"cell\": \"0\", \"bbox\": [324, 76, 330, 86]}, {\"cell\": \"1 (2)\", \"bbox\": [392, 76, 408, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 76, 474, 86]}, {\"cell\": \"Diseases site\", \"bbox\": [1, 90, 42, 100]}, {\"cell\": \" Pulmonary only\", \"bbox\": [8, 104, 61, 114]}, {\"cell\": \"359 (67)\", \"bbox\": [120, 104, 147, 114]}, {\"cell\": \"269 (69)\", \"bbox\": [189, 104, 217, 114]}, {\"cell\": \"0.19\", \"bbox\": [258, 104, 273, 114]}, {\"cell\": \"53 (83)\", \"bbox\": [324, 104, 348, 114]}, {\"cell\": \"54 (82)\", \"bbox\": [392, 104, 415, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 104, 474, 114]}, {\"cell\": \" Extra-Pulmonary only\", \"bbox\": [8, 118, 78, 128]}, {\"cell\": \"100 (19)\", \"bbox\": [120, 118, 147, 128]}, {\"cell\": \"87 (22)\", \"bbox\": [189, 118, 213, 128]}, {\"cell\": \"0.67\", \"bbox\": [258, 118, 273, 128]}, {\"cell\": \"11 (17)\", \"bbox\": [324, 118, 348, 128]}, {\"cell\": \"12 (18)\", \"bbox\": [392, 118, 415, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 118, 474, 128]}, {\"cell\": \" Both\", \"bbox\": [8, 132, 25, 142]}, {\"cell\": \"80 (15)\", \"bbox\": [120, 132, 143, 142]}, {\"cell\": \"35 (9)\", \"bbox\": [189, 132, 209, 142]}, {\"cell\": \"0.03\", \"bbox\": [258, 132, 273, 142]}, {\"cell\": \"5 (17)\", \"bbox\": [324, 132, 344, 142]}, {\"cell\": \"7 (11)\", \"bbox\": [392, 132, 412, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 132, 474, 142]}, {\"cell\": \"Sputum culture positive\", \"bbox\": [1, 146, 79, 156]}, {\"cell\": \"287 (53)\", \"bbox\": [120, 146, 147, 156]}, {\"cell\": \"214 (55)\", \"bbox\": [189, 146, 217, 156]}, {\"cell\": \"0.43\", \"bbox\": [258, 146, 273, 156]}, {\"cell\": \"36 (56)\", \"bbox\": [324, 146, 348, 156]}, {\"cell\": \"40 (61)\", \"bbox\": [392, 146, 415, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 146, 474, 156]}, {\"cell\": \"Sputum smear positive\", \"bbox\": [1, 160, 76, 170]}, {\"cell\": \"215 (40)\", \"bbox\": [120, 160, 147, 170]}, {\"cell\": \"161 (41)\", \"bbox\": [189, 160, 217, 170]}, {\"cell\": \"0.15\", \"bbox\": [258, 160, 273, 170]}, {\"cell\": \"33 (52)\", \"bbox\": [324, 160, 348, 170]}, {\"cell\": \"32 (49)\", \"bbox\": [392, 160, 415, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 160, 474, 170]}, {\"cell\": \"Cavitary lesion\", \"bbox\": [1, 174, 49, 184]}, {\"cell\": \"181 (34)\", \"bbox\": [120, 174, 147, 184]}, {\"cell\": \"131 (34)\", \"bbox\": [189, 174, 217, 184]}, {\"cell\": \"0.89\", \"bbox\": [258, 174, 273, 184]}, {\"cell\": \"27 (42)\", \"bbox\": [324, 174, 348, 184]}, {\"cell\": \"29 (44)\", \"bbox\": [392, 174, 415, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 174, 474, 184]}, {\"cell\": \"INH Resistant\", \"bbox\": [1, 188, 45, 198]}, {\"cell\": \"43 (10)\", \"bbox\": [120, 188, 143, 198]}, {\"cell\": \"26 (9)\", \"bbox\": [189, 188, 209, 198]}, {\"cell\": \"0.99\", \"bbox\": [258, 188, 273, 198]}, {\"cell\": \"2 (4)\", \"bbox\": [324, 188, 340, 198]}, {\"cell\": \"4 (8)\", \"bbox\": [392, 188, 408, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 188, 474, 198]}, {\"cell\": \"RIF Resistant\", \"bbox\": [1, 202, 42, 212]}, {\"cell\": \"3 (1)\", \"bbox\": [120, 202, 136, 212]}, {\"cell\": \"6 (2)\", \"bbox\": [189, 202, 205, 212]}, {\"cell\": \"0.70\", \"bbox\": [258, 202, 273, 212]}, {\"cell\": \"0\", \"bbox\": [324, 202, 330, 212]}, {\"cell\": \"1 (2)\", \"bbox\": [392, 202, 408, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 202, 474, 212]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5294910_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL][EMPTY_CELL]HIV status: concordantHIV status: discordant
[EMPTY_CELL]AllF neg/M negF pos/M posF pos/M negF neg/M pos
[EMPTY_CELL]N = 196n = 80n = 49n = 39n = 27
Condom use with the main sexual partner (last 6 months) (%, 95% CI)*
Never55.1%(44.7–65.1)61.2%(44.9–75.4)53.8%(32.3–74.0)33.7%(16.9–56.0)[EMPTY_CELL]
Sometimes14.9%(9.3–23.1)8.9%(3.9–19.1)22.5%(10.8–40.8)25.6%(9.3–53.6)[EMPTY_CELL]
Always30.0%(20.9–41.0)29.9%(16.8–47.3)23.7%(8.0–52.5)40.7%(20.4–64.8)[EMPTY_CELL]
Contraception used with main sexual partner (last 6 months) (%, 95% CI)**
Highly effective4.8%(2.3–9.7)7.2%(2.7–17.8)2.2%(0.5–8.9)4.5%(1.2–15.7)[EMPTY_CELL]
Less effective95.2% (90.3–97.7)92.8%(82.2–97.3)97.8%(91.1–99.5)95.5%(84.3–98.8)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"HIV status: concordant\", \"bbox\": [195, 4, 268, 13]}, {\"cell\": \"HIV status: discordant\", \"bbox\": [359, 4, 430, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"All\", \"bbox\": [99, 17, 109, 27]}, {\"cell\": \"F neg/M neg\", \"bbox\": [195, 17, 239, 27]}, {\"cell\": \"F pos/M pos\", \"bbox\": [278, 17, 320, 27]}, {\"cell\": \"F pos/M neg\", \"bbox\": [359, 17, 402, 27]}, {\"cell\": \"F neg/M pos\", \"bbox\": [441, 17, 484, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"N = 196\", \"bbox\": [99, 30, 125, 40]}, {\"cell\": \"n = 80\", \"bbox\": [195, 30, 216, 40]}, {\"cell\": \"n = 49\", \"bbox\": [278, 30, 299, 40]}, {\"cell\": \"n = 39\", \"bbox\": [359, 30, 381, 40]}, {\"cell\": \"n = 27\", \"bbox\": [441, 30, 463, 40]}, {\"cell\": \"Condom use with the main sexual partner (last 6 months) (%, 95% CI)*\", \"bbox\": [1, 42, 229, 53]}, {\"cell\": \" Never\", \"bbox\": [8, 57, 29, 67]}, {\"cell\": \"55.1%(44.7–65.1)\", \"bbox\": [99, 57, 135, 76]}, {\"cell\": \"61.2%(44.9–75.4)\", \"bbox\": [195, 57, 230, 76]}, {\"cell\": \"53.8%(32.3–74.0)\", \"bbox\": [278, 57, 313, 76]}, {\"cell\": \"33.7%(16.9–56.0)\", \"bbox\": [359, 57, 395, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 57, 477, 76]}, {\"cell\": \" Sometimes\", \"bbox\": [8, 80, 46, 90]}, {\"cell\": \"14.9%(9.3–23.1)\", \"bbox\": [99, 80, 131, 99]}, {\"cell\": \"8.9%(3.9–19.1)\", \"bbox\": [195, 80, 227, 99]}, {\"cell\": \"22.5%(10.8–40.8)\", \"bbox\": [278, 80, 313, 99]}, {\"cell\": \"25.6%(9.3–53.6)\", \"bbox\": [359, 80, 391, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 80, 473, 99]}, {\"cell\": \" Always\", \"bbox\": [8, 103, 33, 113]}, {\"cell\": \"30.0%(20.9–41.0)\", \"bbox\": [99, 103, 135, 122]}, {\"cell\": \"29.9%(16.8–47.3)\", \"bbox\": [195, 103, 230, 122]}, {\"cell\": \"23.7%(8.0–52.5)\", \"bbox\": [278, 103, 310, 122]}, {\"cell\": \"40.7%(20.4–64.8)\", \"bbox\": [359, 103, 395, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 103, 473, 122]}, {\"cell\": \"Contraception used with main sexual partner (last 6 months) (%, 95% CI)**\", \"bbox\": [1, 125, 241, 136]}, {\"cell\": \" Highly effective\", \"bbox\": [8, 140, 60, 150]}, {\"cell\": \"4.8%(2.3–9.7)\", \"bbox\": [99, 140, 127, 159]}, {\"cell\": \"7.2%(2.7–17.8)\", \"bbox\": [195, 140, 227, 159]}, {\"cell\": \"2.2%(0.5–8.9)\", \"bbox\": [278, 140, 306, 159]}, {\"cell\": \"4.5%(1.2–15.7)\", \"bbox\": [359, 140, 391, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 140, 469, 159]}, {\"cell\": \" Less effective\", \"bbox\": [8, 163, 53, 173]}, {\"cell\": \"95.2% (90.3–97.7)\", \"bbox\": [99, 163, 156, 173]}, {\"cell\": \"92.8%(82.2–97.3)\", \"bbox\": [195, 163, 230, 182]}, {\"cell\": \"97.8%(91.1–99.5)\", \"bbox\": [278, 163, 313, 182]}, {\"cell\": \"95.5%(84.3–98.8)\", \"bbox\": [359, 163, 395, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 163, 484, 182]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5838942_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]MI onlyStroke only
Men (n = 9455)Women (n = 5560)p*Men (n = 5883)Women (n = 5855)p*
HbA1C <7.5 %, %65.864.10.055362.261.4[EMPTY_CELL]
Blood pressure <130/80 (mmHg), %67.466.50.2679––[EMPTY_CELL]
Blood pressure 120/70–140/90 (mmHg), %–––90.089.5[EMPTY_CELL]
LDL-cholesterol <100 (mg/dl),%60.149.2<0.000146.138.3[EMPTY_CELL]
BMI <27 (kg/m2),%33.528.6<0.0001[EMPTY_CELL]–[EMPTY_CELL]
Inhibitors of platelet aggregation, %51.349.40.013732.730.5[EMPTY_CELL]
Statins, %58.554.5<0.000142.038.2[EMPTY_CELL]
ACE inhibitors, %51.346.9<0.000142.240.3[EMPTY_CELL]
Beta blockers, %59.759.00.4290––[EMPTY_CELL]
Any type of antihypertensives, %65.963.80.011565.166.7[EMPTY_CELL]
Non-smoker, %92.094.0<0.000192.495.3[EMPTY_CELL]
Physically active, %9.58.50.22015.84.7[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"MI only\", \"bbox\": [146, 4, 173, 14]}, {\"cell\": \"Stroke only\", \"bbox\": [319, 4, 360, 14]}, {\"cell\": \"Men (n = 9455)\", \"bbox\": [146, 20, 201, 30]}, {\"cell\": \"Women (n = 5560)\", \"bbox\": [209, 20, 276, 30]}, {\"cell\": \"p*\", \"bbox\": [283, 20, 293, 30]}, {\"cell\": \"Men (n = 5883)\", \"bbox\": [319, 20, 374, 30]}, {\"cell\": \"Women (n = 5855)\", \"bbox\": [382, 20, 449, 30]}, {\"cell\": \"p*\", \"bbox\": [456, 20, 466, 30]}, {\"cell\": \"HbA1C <7.5 %, %\", \"bbox\": [1, 38, 55, 49]}, {\"cell\": \"65.8\", \"bbox\": [146, 38, 161, 48]}, {\"cell\": \"64.1\", \"bbox\": [209, 38, 224, 48]}, {\"cell\": \"0.0553\", \"bbox\": [288, 38, 311, 48]}, {\"cell\": \"62.2\", \"bbox\": [319, 38, 334, 48]}, {\"cell\": \"61.4\", \"bbox\": [382, 38, 398, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [461, 38, 484, 48]}, {\"cell\": \"Blood pressure <130/80 (mmHg), %\", \"bbox\": [1, 50, 116, 60]}, {\"cell\": \"67.4\", \"bbox\": [146, 50, 161, 60]}, {\"cell\": \"66.5\", \"bbox\": [209, 50, 224, 60]}, {\"cell\": \"0.2679\", \"bbox\": [288, 50, 311, 60]}, {\"cell\": \"–\", \"bbox\": [325, 50, 331, 60]}, {\"cell\": \"–\", \"bbox\": [388, 50, 394, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 50, 468, 60]}, {\"cell\": \"Blood pressure 120/70–140/90 (mmHg), %\", \"bbox\": [1, 62, 138, 72]}, {\"cell\": \"–\", \"bbox\": [152, 62, 158, 72]}, {\"cell\": \"–\", \"bbox\": [215, 62, 221, 72]}, {\"cell\": \"–\", \"bbox\": [289, 62, 295, 72]}, {\"cell\": \"90.0\", \"bbox\": [319, 62, 334, 72]}, {\"cell\": \"89.5\", \"bbox\": [382, 62, 398, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [461, 62, 484, 72]}, {\"cell\": \"LDL-cholesterol <100 (mg/dl),%\", \"bbox\": [1, 74, 107, 84]}, {\"cell\": \"60.1\", \"bbox\": [146, 74, 161, 84]}, {\"cell\": \"49.2\", \"bbox\": [209, 74, 224, 84]}, {\"cell\": \"<0.0001\", \"bbox\": [283, 74, 311, 84]}, {\"cell\": \"46.1\", \"bbox\": [319, 74, 334, 84]}, {\"cell\": \"38.3\", \"bbox\": [382, 74, 398, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [456, 74, 484, 84]}, {\"cell\": \"BMI <27 (kg/m2),%\", \"bbox\": [1, 85, 65, 96]}, {\"cell\": \"33.5\", \"bbox\": [146, 87, 161, 96]}, {\"cell\": \"28.6\", \"bbox\": [209, 87, 224, 96]}, {\"cell\": \"<0.0001\", \"bbox\": [283, 87, 311, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"–\", \"bbox\": [388, 87, 394, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 87, 468, 96]}, {\"cell\": \"Inhibitors of platelet aggregation, %\", \"bbox\": [1, 99, 117, 108]}, {\"cell\": \"51.3\", \"bbox\": [146, 99, 161, 108]}, {\"cell\": \"49.4\", \"bbox\": [209, 99, 224, 108]}, {\"cell\": \"0.0137\", \"bbox\": [288, 99, 311, 108]}, {\"cell\": \"32.7\", \"bbox\": [319, 99, 334, 108]}, {\"cell\": \"30.5\", \"bbox\": [382, 99, 398, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [461, 99, 484, 108]}, {\"cell\": \"Statins, %\", \"bbox\": [1, 111, 33, 120]}, {\"cell\": \"58.5\", \"bbox\": [146, 111, 161, 120]}, {\"cell\": \"54.5\", \"bbox\": [209, 111, 224, 120]}, {\"cell\": \"<0.0001\", \"bbox\": [283, 111, 311, 120]}, {\"cell\": \"42.0\", \"bbox\": [319, 111, 334, 120]}, {\"cell\": \"38.2\", \"bbox\": [382, 111, 398, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [456, 111, 484, 120]}, {\"cell\": \"ACE inhibitors, %\", \"bbox\": [1, 123, 56, 132]}, {\"cell\": \"51.3\", \"bbox\": [146, 123, 161, 132]}, {\"cell\": \"46.9\", \"bbox\": [209, 123, 224, 132]}, {\"cell\": \"<0.0001\", \"bbox\": [283, 123, 311, 132]}, {\"cell\": \"42.2\", \"bbox\": [319, 123, 334, 132]}, {\"cell\": \"40.3\", \"bbox\": [382, 123, 398, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [461, 123, 484, 132]}, {\"cell\": \"Beta blockers, %\", \"bbox\": [1, 135, 54, 144]}, {\"cell\": \"59.7\", \"bbox\": [146, 135, 161, 144]}, {\"cell\": \"59.0\", \"bbox\": [209, 135, 224, 144]}, {\"cell\": \"0.4290\", \"bbox\": [288, 135, 311, 144]}, {\"cell\": \"–\", \"bbox\": [325, 135, 331, 144]}, {\"cell\": \"–\", \"bbox\": [388, 135, 394, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 135, 468, 144]}, {\"cell\": \"Any type of antihypertensives, %\", \"bbox\": [1, 147, 106, 157]}, {\"cell\": \"65.9\", \"bbox\": [146, 147, 161, 157]}, {\"cell\": \"63.8\", \"bbox\": [209, 147, 224, 157]}, {\"cell\": \"0.0115\", \"bbox\": [288, 147, 311, 157]}, {\"cell\": \"65.1\", \"bbox\": [319, 147, 334, 157]}, {\"cell\": \"66.7\", \"bbox\": [382, 147, 398, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [461, 147, 484, 157]}, {\"cell\": \"Non-smoker, %\", \"bbox\": [1, 159, 51, 169]}, {\"cell\": \"92.0\", \"bbox\": [146, 159, 161, 169]}, {\"cell\": \"94.0\", \"bbox\": [209, 159, 224, 169]}, {\"cell\": \"<0.0001\", \"bbox\": [283, 159, 311, 169]}, {\"cell\": \"92.4\", \"bbox\": [319, 159, 334, 169]}, {\"cell\": \"95.3\", \"bbox\": [382, 159, 398, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [456, 159, 484, 169]}, {\"cell\": \"Physically active, %\", \"bbox\": [1, 171, 63, 181]}, {\"cell\": \"9.5\", \"bbox\": [150, 171, 161, 181]}, {\"cell\": \"8.5\", \"bbox\": [213, 171, 224, 181]}, {\"cell\": \"0.2201\", \"bbox\": [288, 171, 311, 181]}, {\"cell\": \"5.8\", \"bbox\": [323, 171, 334, 181]}, {\"cell\": \"4.7\", \"bbox\": [386, 171, 398, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [461, 171, 484, 181]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4855873_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
CharacteristicValue
[EMPTY_CELL]481 (77.2%)
[EMPTY_CELL]69.6 ± 8.7
[EMPTY_CELL]27.5 ± 4.1
[EMPTY_CELL]4 (0.6%)
[EMPTY_CELL]167 (26.8%)
[EMPTY_CELL]305 (49.0%)
[EMPTY_CELL]147 (23.6%)
[EMPTY_CELL]65.8 ± 10.1
[EMPTY_CELL]67.6 ± 9.6
[EMPTY_CELL]3.6 ± 4.0
[EMPTY_CELL]2.0 ± 3.3
[EMPTY_CELL]242 (38.8%)
[EMPTY_CELL]
[EMPTY_CELL]237 (38.0%)
[EMPTY_CELL]376 (60.4%)
[EMPTY_CELL]10 (1.6%)
[EMPTY_CELL]192 (30.8%)
[EMPTY_CELL]55 (8.8%)
[EMPTY_CELL]31 (5.0%)
[EMPTY_CELL]272.4 ± 196.1
[EMPTY_CELL]67.5 (±17.8)
[EMPTY_CELL]75.3 (±19.4)
[EMPTY_CELL]35.6 (±17.0)
[EMPTY_CELL]201 (32.3%)
[EMPTY_CELL]
[EMPTY_CELL]87 (20.2%)
[EMPTY_CELL]238 (55.2%)
[EMPTY_CELL]106 (24.6%)
\", \"cells\": [{\"cell\": \"Characteristic\", \"bbox\": [1, 4, 45, 13]}, {\"cell\": \"Value\", \"bbox\": [192, 4, 211, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 30, 27]}, {\"cell\": \"481 (77.2%)\", \"bbox\": [192, 17, 230, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 31, 35, 41]}, {\"cell\": \"69.6 ± 8.7\", \"bbox\": [192, 31, 225, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 43, 80, 55]}, {\"cell\": \"27.5 ± 4.1\", \"bbox\": [192, 45, 225, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 59, 52, 69]}, {\"cell\": \"4 (0.6%)\", \"bbox\": [192, 59, 219, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 73, 58, 83]}, {\"cell\": \"167 (26.8%)\", \"bbox\": [192, 73, 230, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 87, 48, 97]}, {\"cell\": \"305 (49.0%)\", \"bbox\": [192, 87, 230, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 101, 34, 111]}, {\"cell\": \"147 (23.6%)\", \"bbox\": [192, 101, 230, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 115, 110, 125]}, {\"cell\": \"65.8 ± 10.1\", \"bbox\": [192, 115, 229, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 129, 87, 139]}, {\"cell\": \"67.6 ± 9.6\", \"bbox\": [192, 129, 225, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 143, 118, 153]}, {\"cell\": \"3.6 ± 4.0\", \"bbox\": [192, 143, 221, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 157, 76, 167]}, {\"cell\": \"2.0 ± 3.3\", \"bbox\": [192, 157, 221, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 171, 128, 180]}, {\"cell\": \"242 (38.8%)\", \"bbox\": [192, 171, 230, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 185, 51, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 199, 29, 208]}, {\"cell\": \"237 (38.0%)\", \"bbox\": [192, 199, 230, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 213, 33, 222]}, {\"cell\": \"376 (60.4%)\", \"bbox\": [192, 213, 230, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 227, 34, 236]}, {\"cell\": \"10 (1.6%)\", \"bbox\": [192, 227, 223, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 241, 86, 250]}, {\"cell\": \"192 (30.8%)\", \"bbox\": [192, 241, 230, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 255, 41, 264]}, {\"cell\": \"55 (8.8%)\", \"bbox\": [192, 255, 223, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 269, 74, 278]}, {\"cell\": \"31 (5.0%)\", \"bbox\": [192, 269, 223, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 283, 107, 292]}, {\"cell\": \"272.4 ± 196.1\", \"bbox\": [192, 283, 236, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 297, 23, 306]}, {\"cell\": \"67.5 (±17.8)\", \"bbox\": [192, 297, 231, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 311, 25, 321]}, {\"cell\": \"75.3 (±19.4)\", \"bbox\": [192, 311, 231, 321]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 325, 27, 335]}, {\"cell\": \"35.6 (±17.0)\", \"bbox\": [192, 325, 231, 335]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 339, 76, 349]}, {\"cell\": \"201 (32.3%)\", \"bbox\": [192, 339, 230, 349]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 353, 36, 363]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 367, 32, 377]}, {\"cell\": \"87 (20.2%)\", \"bbox\": [192, 367, 226, 377]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 381, 34, 391]}, {\"cell\": \"238 (55.2%)\", \"bbox\": [192, 381, 230, 391]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 395, 36, 405]}, {\"cell\": \"106 (24.6%)\", \"bbox\": [192, 395, 230, 405]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5512739_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]No.%
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]39100.0
[EMPTY_CELL]3692.3
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]51.3[EMPTY_CELL]
[EMPTY_CELL]41.2 – 64.1[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]37.7
[EMPTY_CELL]2769.2
[EMPTY_CELL]923.1
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]2769.2
[EMPTY_CELL]923.1
[EMPTY_CELL]1538.5
[EMPTY_CELL]37.7
[EMPTY_CELL]2461.5
[EMPTY_CELL]37.7
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]2461.5
[EMPTY_CELL]1538.5
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]4.1[EMPTY_CELL]
[EMPTY_CELL]1.0 – 11.2[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]2051.3
[EMPTY_CELL]923.1
[EMPTY_CELL]2153.8
[EMPTY_CELL]923.1
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]24[EMPTY_CELL]
[EMPTY_CELL]15[EMPTY_CELL]
[EMPTY_CELL]9[EMPTY_CELL]
[EMPTY_CELL]21[EMPTY_CELL]
[EMPTY_CELL]6[EMPTY_CELL]
[EMPTY_CELL]3[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No.\", \"bbox\": [186, 4, 201, 14]}, {\"cell\": \"%\", \"bbox\": [226, 4, 234, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 27, 32, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 37, 42, 47]}, {\"cell\": \"39\", \"bbox\": [189, 37, 199, 47]}, {\"cell\": \"100.0\", \"bbox\": [220, 37, 240, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 47, 91, 57]}, {\"cell\": \"36\", \"bbox\": [189, 47, 199, 57]}, {\"cell\": \"92.3\", \"bbox\": [222, 47, 238, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 57, 18, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 67, 65, 77]}, {\"cell\": \"51.3\", \"bbox\": [186, 67, 202, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 78, 36, 88]}, {\"cell\": \"41.2 – 64.1\", \"bbox\": [174, 78, 213, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 88, 95, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 98, 20, 108]}, {\"cell\": \"3\", \"bbox\": [191, 98, 197, 108]}, {\"cell\": \"7.7\", \"bbox\": [224, 98, 236, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 108, 20, 118]}, {\"cell\": \"27\", \"bbox\": [189, 108, 199, 118]}, {\"cell\": \"69.2\", \"bbox\": [222, 108, 238, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 119, 20, 129]}, {\"cell\": \"9\", \"bbox\": [191, 119, 197, 129]}, {\"cell\": \"23.1\", \"bbox\": [222, 119, 238, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 129, 105, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 139, 31, 149]}, {\"cell\": \"27\", \"bbox\": [189, 139, 199, 149]}, {\"cell\": \"69.2\", \"bbox\": [222, 139, 238, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 150, 32, 159]}, {\"cell\": \"9\", \"bbox\": [191, 150, 197, 159]}, {\"cell\": \"23.1\", \"bbox\": [222, 150, 238, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 160, 57, 170]}, {\"cell\": \"15\", \"bbox\": [189, 160, 199, 170]}, {\"cell\": \"38.5\", \"bbox\": [222, 160, 238, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 170, 50, 180]}, {\"cell\": \"3\", \"bbox\": [191, 170, 197, 180]}, {\"cell\": \"7.7\", \"bbox\": [224, 170, 236, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 180, 33, 190]}, {\"cell\": \"24\", \"bbox\": [189, 180, 199, 190]}, {\"cell\": \"61.5\", \"bbox\": [222, 180, 238, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 190, 33, 200]}, {\"cell\": \"3\", \"bbox\": [191, 190, 197, 200]}, {\"cell\": \"7.7\", \"bbox\": [224, 190, 236, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 201, 116, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 211, 72, 221]}, {\"cell\": \"24\", \"bbox\": [189, 211, 199, 221]}, {\"cell\": \"61.5\", \"bbox\": [222, 211, 238, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 221, 81, 231]}, {\"cell\": \"15\", \"bbox\": [189, 221, 199, 231]}, {\"cell\": \"38.5\", \"bbox\": [222, 221, 238, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 232, 168, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 242, 72, 252]}, {\"cell\": \"4.1\", \"bbox\": [188, 242, 200, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 252, 36, 262]}, {\"cell\": \"1.0 – 11.2\", \"bbox\": [176, 252, 211, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 262, 129, 272]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 273, 100, 282]}, {\"cell\": \"20\", \"bbox\": [189, 273, 199, 282]}, {\"cell\": \"51.3\", \"bbox\": [222, 273, 238, 282]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 283, 20, 293]}, {\"cell\": \"9\", \"bbox\": [191, 283, 197, 293]}, {\"cell\": \"23.1\", \"bbox\": [222, 283, 238, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 293, 20, 303]}, {\"cell\": \"21\", \"bbox\": [189, 293, 199, 303]}, {\"cell\": \"53.8\", \"bbox\": [222, 293, 238, 303]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 303, 50, 313]}, {\"cell\": \"9\", \"bbox\": [191, 303, 197, 313]}, {\"cell\": \"23.1\", \"bbox\": [222, 303, 238, 313]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 313, 138, 323]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 324, 32, 334]}, {\"cell\": \"24\", \"bbox\": [189, 324, 199, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [23, 334, 41, 344]}, {\"cell\": \"15\", \"bbox\": [189, 334, 199, 344]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 344, 29, 354]}, {\"cell\": \"9\", \"bbox\": [191, 344, 197, 354]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 355, 25, 364]}, {\"cell\": \"21\", \"bbox\": [189, 355, 199, 364]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 365, 150, 375]}, {\"cell\": \"6\", \"bbox\": [191, 365, 197, 375]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 375, 26, 385]}, {\"cell\": \"3\", \"bbox\": [191, 375, 197, 385]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC553982_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
AuthorYearDiagnostic criteriaPerformFSIQVIQPIQ
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]DEL (M, SD)UPD (M, SD)DEL (M, SD)UPD (M, SD)DEL (M, SD)UPD (M, SD)
Dykens et al.2008K-BIT2NA62.07, 12.3 (n=55)64.96, 13.07 (n=33)---[EMPTY_CELL]
Soni et al.2008Wechslercarry out by the first author64.5,8.5 (n=24)68.7,11.2 (n=22)---[EMPTY_CELL]
Zarcone et al.2007WechslerTrained research staff conducted IQ test62.3, 55.1 (n=41)65.2, 12.1 (n=30)63.3, 9.3 (n=41)71.3, 11.9 (n=30)65.7, 9.3 (n=41)[EMPTY_CELL]
Descheemaeker et al.2006NANA57.2, 16.21 (n=40)58.4, 15.56 (n=18)---[EMPTY_CELL]
Milner et al.2005Wechsler and Raven’sthe researchers involved were blind to the genetic status of participants.70.78, 16.21 (n=45)69.49, 16.89 (n=47)81.16, 17.4 (n=19)79.62, 21.08 (n=21)76.53, 14.43 (n=19)[EMPTY_CELL]
Walley et al.2005WechslerNA--71.64, 12.08 (n=12)76.50, 8.64 (n=6)-[EMPTY_CELL]
Bulter et al.2004WechslerNA--62.52, 9.18 (n=25)70, 6.20 (n=21)-[EMPTY_CELL]
Boer et al.2002NANA67.0, 12.39 (n=9)62.4, 9.86 (n=5)---[EMPTY_CELL]
Fox et al.2001NANA62.7, 9.8 (n=24)63.9, 6.4 (n=19)62.1, 9.5 (n=24)69.7, 5.5 (n=19)66.5, 9.6 (n=24)[EMPTY_CELL]
Roof et al.2000Wechslercarry on by a licensed psychological examiner61, 9.2 (n=24)64.1, 7.9 (n=14)60.8, 8.6 (n=24)69.9, 6.4 (n=14)64.7, 9.3 (n=24)[EMPTY_CELL]
Dykens et al.1999Kaufman or Wechslertwo of the university clinics62.97, 8.83 (n=23)70.93, 11.15 (n=23)---[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Author\", \"bbox\": [1, 26, 25, 37]}, {\"cell\": \"Year\", \"bbox\": [72, 26, 88, 37]}, {\"cell\": \"Diagnostic criteria\", \"bbox\": [94, 15, 129, 37]}, {\"cell\": \"Perform\", \"bbox\": [142, 26, 169, 37]}, {\"cell\": \"FSIQ\", \"bbox\": [218, 25, 235, 36]}, {\"cell\": \"VIQ\", \"bbox\": [328, 25, 342, 36]}, {\"cell\": \"PIQ\", \"bbox\": [419, 25, 432, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"DEL (M, SD)\", \"bbox\": [218, 50, 257, 61]}, {\"cell\": \"UPD (M, SD)\", \"bbox\": [272, 50, 311, 61]}, {\"cell\": \"DEL (M, SD)\", \"bbox\": [328, 50, 368, 61]}, {\"cell\": \"UPD (M, SD)\", \"bbox\": [374, 50, 414, 61]}, {\"cell\": \"DEL (M, SD)\", \"bbox\": [419, 50, 458, 61]}, {\"cell\": \"UPD (M, SD)\", \"bbox\": [462, 39, 488, 61]}, {\"cell\": \"Dykens et al.\", \"bbox\": [1, 68, 41, 79]}, {\"cell\": \"2008\", \"bbox\": [72, 68, 88, 79]}, {\"cell\": \"K-BIT2\", \"bbox\": [94, 68, 116, 79]}, {\"cell\": \"NA\", \"bbox\": [142, 68, 153, 79]}, {\"cell\": \"62.07, 12.3 (n=55)\", \"bbox\": [218, 63, 253, 84]}, {\"cell\": \"64.96, 13.07 (n=33)\", \"bbox\": [272, 63, 310, 84]}, {\"cell\": \"-\", \"bbox\": [328, 68, 333, 79]}, {\"cell\": \"-\", \"bbox\": [374, 68, 378, 79]}, {\"cell\": \"-\", \"bbox\": [419, 68, 423, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 68, 466, 79]}, {\"cell\": \"Soni et al.\", \"bbox\": [1, 92, 32, 102]}, {\"cell\": \"2008\", \"bbox\": [72, 92, 88, 102]}, {\"cell\": \"Wechsler\", \"bbox\": [94, 92, 123, 102]}, {\"cell\": \"carry out by the first author\", \"bbox\": [142, 86, 201, 108]}, {\"cell\": \"64.5,8.5 (n=24)\", \"bbox\": [218, 92, 265, 102]}, {\"cell\": \"68.7,11.2 (n=22)\", \"bbox\": [272, 92, 321, 102]}, {\"cell\": \"-\", \"bbox\": [328, 92, 333, 102]}, {\"cell\": \"-\", \"bbox\": [374, 92, 378, 102]}, {\"cell\": \"-\", \"bbox\": [419, 92, 423, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 92, 466, 102]}, {\"cell\": \"Zarcone et al.\", \"bbox\": [1, 115, 43, 126]}, {\"cell\": \"2007\", \"bbox\": [72, 115, 88, 126]}, {\"cell\": \"Wechsler\", \"bbox\": [94, 115, 123, 126]}, {\"cell\": \"Trained research staff conducted IQ test\", \"bbox\": [142, 110, 207, 131]}, {\"cell\": \"62.3, 55.1 (n=41)\", \"bbox\": [218, 110, 249, 131]}, {\"cell\": \"65.2, 12.1 (n=30)\", \"bbox\": [272, 110, 302, 131]}, {\"cell\": \"63.3, 9.3 (n=41)\", \"bbox\": [328, 110, 356, 131]}, {\"cell\": \"71.3, 11.9 (n=30)\", \"bbox\": [374, 110, 405, 131]}, {\"cell\": \"65.7, 9.3 (n=41)\", \"bbox\": [419, 110, 446, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 110, 492, 131]}, {\"cell\": \"Descheemaeker et al.\", \"bbox\": [1, 139, 66, 149]}, {\"cell\": \"2006\", \"bbox\": [72, 139, 88, 149]}, {\"cell\": \"NA\", \"bbox\": [94, 139, 105, 149]}, {\"cell\": \"NA\", \"bbox\": [142, 139, 153, 149]}, {\"cell\": \"57.2, 16.21 (n=40)\", \"bbox\": [218, 133, 253, 155]}, {\"cell\": \"58.4, 15.56 (n=18)\", \"bbox\": [272, 133, 306, 155]}, {\"cell\": \"-\", \"bbox\": [328, 139, 333, 149]}, {\"cell\": \"-\", \"bbox\": [374, 139, 378, 149]}, {\"cell\": \"-\", \"bbox\": [419, 139, 423, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 139, 466, 149]}, {\"cell\": \"Milner et al.\", \"bbox\": [1, 173, 37, 184]}, {\"cell\": \"2005\", \"bbox\": [72, 173, 88, 184]}, {\"cell\": \"Wechsler and Raven’s\", \"bbox\": [94, 168, 136, 189]}, {\"cell\": \"the researchers involved were blind to the genetic status of participants.\", \"bbox\": [142, 157, 206, 200]}, {\"cell\": \"70.78, 16.21 (n=45)\", \"bbox\": [218, 168, 256, 189]}, {\"cell\": \"69.49, 16.89 (n=47)\", \"bbox\": [272, 168, 310, 189]}, {\"cell\": \"81.16, 17.4 (n=19)\", \"bbox\": [328, 168, 363, 189]}, {\"cell\": \"79.62, 21.08 (n=21)\", \"bbox\": [374, 168, 412, 189]}, {\"cell\": \"76.53, 14.43 (n=19)\", \"bbox\": [419, 162, 440, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 162, 483, 195]}, {\"cell\": \"Walley et al.\", \"bbox\": [1, 208, 39, 218]}, {\"cell\": \"2005\", \"bbox\": [72, 208, 88, 218]}, {\"cell\": \"Wechsler\", \"bbox\": [94, 208, 123, 218]}, {\"cell\": \"NA\", \"bbox\": [142, 208, 153, 218]}, {\"cell\": \"-\", \"bbox\": [218, 208, 222, 218]}, {\"cell\": \"-\", \"bbox\": [272, 208, 276, 218]}, {\"cell\": \"71.64, 12.08 (n=12)\", \"bbox\": [328, 202, 367, 224]}, {\"cell\": \"76.50, 8.64 (n=6)\", \"bbox\": [374, 202, 408, 224]}, {\"cell\": \"-\", \"bbox\": [419, 208, 423, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 208, 466, 218]}, {\"cell\": \"Bulter et al.\", \"bbox\": [1, 231, 36, 242]}, {\"cell\": \"2004\", \"bbox\": [72, 231, 88, 242]}, {\"cell\": \"Wechsler\", \"bbox\": [94, 231, 123, 242]}, {\"cell\": \"NA\", \"bbox\": [142, 231, 153, 242]}, {\"cell\": \"-\", \"bbox\": [218, 231, 222, 242]}, {\"cell\": \"-\", \"bbox\": [272, 231, 276, 242]}, {\"cell\": \"62.52, 9.18 (n=25)\", \"bbox\": [328, 226, 363, 247]}, {\"cell\": \"70, 6.20 (n=21)\", \"bbox\": [374, 226, 399, 247]}, {\"cell\": \"-\", \"bbox\": [419, 231, 423, 242]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 231, 466, 242]}, {\"cell\": \"Boer et al.\", \"bbox\": [1, 255, 33, 265]}, {\"cell\": \"2002\", \"bbox\": [72, 255, 88, 265]}, {\"cell\": \"NA\", \"bbox\": [94, 255, 105, 265]}, {\"cell\": \"NA\", \"bbox\": [142, 255, 153, 265]}, {\"cell\": \"67.0, 12.39 (n=9)\", \"bbox\": [218, 249, 253, 271]}, {\"cell\": \"62.4, 9.86 (n=5)\", \"bbox\": [272, 255, 320, 265]}, {\"cell\": \"-\", \"bbox\": [328, 255, 333, 265]}, {\"cell\": \"-\", \"bbox\": [374, 255, 378, 265]}, {\"cell\": \"-\", \"bbox\": [419, 255, 423, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 255, 466, 265]}, {\"cell\": \"Fox et al.\", \"bbox\": [1, 278, 30, 289]}, {\"cell\": \"2001\", \"bbox\": [72, 278, 88, 289]}, {\"cell\": \"NA\", \"bbox\": [94, 278, 105, 289]}, {\"cell\": \"NA\", \"bbox\": [142, 278, 153, 289]}, {\"cell\": \"62.7, 9.8 (n=24)\", \"bbox\": [218, 273, 246, 294]}, {\"cell\": \"63.9, 6.4 (n=19)\", \"bbox\": [272, 278, 320, 289]}, {\"cell\": \"62.1, 9.5 (n=24)\", \"bbox\": [328, 273, 356, 294]}, {\"cell\": \"69.7, 5.5 (n=19)\", \"bbox\": [374, 273, 401, 294]}, {\"cell\": \"66.5, 9.6 (n=24)\", \"bbox\": [419, 273, 446, 294]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 273, 489, 294]}, {\"cell\": \"Roof et al.\", \"bbox\": [1, 302, 33, 312]}, {\"cell\": \"2000\", \"bbox\": [72, 302, 88, 312]}, {\"cell\": \"Wechsler\", \"bbox\": [94, 302, 123, 312]}, {\"cell\": \"carry on by a licensed psychological examiner\", \"bbox\": [142, 296, 211, 318]}, {\"cell\": \"61, 9.2 (n=24)\", \"bbox\": [218, 302, 261, 312]}, {\"cell\": \"64.1, 7.9 (n=14)\", \"bbox\": [272, 302, 320, 312]}, {\"cell\": \"60.8, 8.6 (n=24)\", \"bbox\": [328, 296, 356, 318]}, {\"cell\": \"69.9, 6.4 (n=14)\", \"bbox\": [374, 296, 401, 318]}, {\"cell\": \"64.7, 9.3 (n=24)\", \"bbox\": [419, 296, 446, 318]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 296, 489, 318]}, {\"cell\": \"Dykens et al.\", \"bbox\": [1, 325, 41, 336]}, {\"cell\": \"1999\", \"bbox\": [72, 325, 88, 336]}, {\"cell\": \"Kaufman or Wechsler\", \"bbox\": [94, 320, 130, 341]}, {\"cell\": \"two of the university clinics\", \"bbox\": [142, 320, 201, 341]}, {\"cell\": \"62.97, 8.83 (n=23)\", \"bbox\": [218, 320, 253, 341]}, {\"cell\": \"70.93, 11.15 (n=23)\", \"bbox\": [272, 320, 310, 341]}, {\"cell\": \"-\", \"bbox\": [328, 325, 333, 336]}, {\"cell\": \"-\", \"bbox\": [374, 325, 378, 336]}, {\"cell\": \"-\", \"bbox\": [419, 325, 423, 336]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 325, 466, 336]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3743792_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
SamplesClotting times (s)
RTPTaPTTFC
NaCl[EMPTY_CELL]21.7 ± 0.332.1 ± 1.226.4 ± 0.5
DMSO[EMPTY_CELL]25.6 ± 0.238.8 ± 0.834.1 ± 1.4
Dm-H-PF[EMPTY_CELL]24.5 ± 0.238.7 ± 2.046.8 ± 1.3 *
Dm-H-SP[EMPTY_CELL]25.1 ± 0.439.3 ± 1.347.3 ± 1.6 *
Dm-AC-PF[EMPTY_CELL]29.9 ± 0.6 *40.5 ± 1.186.4 ± 2.6 *
Dm-AC-SP[EMPTY_CELL]24.7 ± 1.039.1 ± 0.765.3 ± 3.5 *
Dm-DC[EMPTY_CELL]23.3 ± 0.240.2 ± 0.566.7 ± 0.8 *
Dc-H[EMPTY_CELL]27.3 ± 0.238.7 ± 2.442.7 ± 0.9 *
Dc-AC[EMPTY_CELL]28.9 ± 0.246.1 ± 2.5 *78.4 ± 11 *
\", \"cells\": [{\"cell\": \"Samples\", \"bbox\": [29, 12, 73, 25]}, {\"cell\": \"Clotting times (s)\", \"bbox\": [237, 5, 327, 17]}, {\"cell\": \"RT\", \"bbox\": [135, 20, 153, 33]}, {\"cell\": \"PT\", \"bbox\": [226, 20, 244, 33]}, {\"cell\": \"aPTT\", \"bbox\": [311, 20, 342, 33]}, {\"cell\": \"FC\", \"bbox\": [409, 20, 427, 33]}, {\"cell\": \"NaCl\", \"bbox\": [37, 36, 65, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [117, 36, 171, 46]}, {\"cell\": \"21.7 ± 0.3\", \"bbox\": [210, 36, 260, 46]}, {\"cell\": \"32.1 ± 1.2\", \"bbox\": [302, 36, 352, 46]}, {\"cell\": \"26.4 ± 0.5\", \"bbox\": [393, 36, 444, 46]}, {\"cell\": \"DMSO\", \"bbox\": [33, 51, 69, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [116, 51, 172, 61]}, {\"cell\": \"25.6 ± 0.2\", \"bbox\": [210, 51, 260, 61]}, {\"cell\": \"38.8 ± 0.8\", \"bbox\": [302, 51, 352, 61]}, {\"cell\": \"34.1 ± 1.4\", \"bbox\": [393, 51, 444, 61]}, {\"cell\": \"Dm-H-PF\", \"bbox\": [26, 66, 76, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [117, 66, 171, 76]}, {\"cell\": \"24.5 ± 0.2\", \"bbox\": [210, 66, 260, 76]}, {\"cell\": \"38.7 ± 2.0\", \"bbox\": [302, 66, 352, 76]}, {\"cell\": \"46.8 ± 1.3 *\", \"bbox\": [388, 66, 448, 76]}, {\"cell\": \"Dm-H-SP\", \"bbox\": [26, 81, 76, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [116, 81, 172, 91]}, {\"cell\": \"25.1 ± 0.4\", \"bbox\": [210, 81, 260, 91]}, {\"cell\": \"39.3 ± 1.3\", \"bbox\": [302, 81, 352, 91]}, {\"cell\": \"47.3 ± 1.6 *\", \"bbox\": [388, 81, 448, 91]}, {\"cell\": \"Dm-AC-PF\", \"bbox\": [22, 96, 80, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [117, 96, 171, 106]}, {\"cell\": \"29.9 ± 0.6 *\", \"bbox\": [205, 96, 265, 106]}, {\"cell\": \"40.5 ± 1.1\", \"bbox\": [302, 96, 352, 106]}, {\"cell\": \"86.4 ± 2.6 *\", \"bbox\": [388, 96, 448, 106]}, {\"cell\": \"Dm-AC-SP\", \"bbox\": [22, 111, 80, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [116, 111, 172, 121]}, {\"cell\": \"24.7 ± 1.0\", \"bbox\": [210, 111, 260, 121]}, {\"cell\": \"39.1 ± 0.7\", \"bbox\": [302, 111, 352, 121]}, {\"cell\": \"65.3 ± 3.5 *\", \"bbox\": [388, 111, 448, 121]}, {\"cell\": \"Dm-DC\", \"bbox\": [31, 126, 71, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [117, 126, 171, 136]}, {\"cell\": \"23.3 ± 0.2\", \"bbox\": [210, 126, 260, 136]}, {\"cell\": \"40.2 ± 0.5\", \"bbox\": [302, 126, 352, 136]}, {\"cell\": \"66.7 ± 0.8 *\", \"bbox\": [388, 126, 448, 136]}, {\"cell\": \"Dc-H\", \"bbox\": [37, 141, 65, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [117, 141, 171, 151]}, {\"cell\": \"27.3 ± 0.2\", \"bbox\": [210, 141, 260, 151]}, {\"cell\": \"38.7 ± 2.4\", \"bbox\": [302, 141, 352, 151]}, {\"cell\": \"42.7 ± 0.9 *\", \"bbox\": [388, 141, 448, 151]}, {\"cell\": \"Dc-AC\", \"bbox\": [33, 156, 69, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [116, 156, 172, 166]}, {\"cell\": \"28.9 ± 0.2\", \"bbox\": [210, 156, 260, 166]}, {\"cell\": \"46.1 ± 2.5 *\", \"bbox\": [297, 156, 357, 166]}, {\"cell\": \"78.4 ± 11 *\", \"bbox\": [390, 156, 447, 166]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3164377_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Gene symbolAccession No.Folder Δ SCNT/AggFolder Δ SCNT/ConFolder Δ Agg/Con
CmasNM_009908.13.15**1.85**[EMPTY_CELL]
ErmapNM_013848.12.53**2.84*[EMPTY_CELL]
Prl2a1NM_019991.12.22**1.30*[EMPTY_CELL]
Prl4a1NM_011165.32.13**2.69**[EMPTY_CELL]
SbsnNM_172205.32.03*3.32**[EMPTY_CELL]
Serpinb9dNM_011460.12.08**3.03**[EMPTY_CELL]
2310039H08RikNM_025966.32.11*1.28[EMPTY_CELL]
Gpn2NM_133884.12.14*1.14[EMPTY_CELL]
H2-Q5NM_010393.12.10**1.45[EMPTY_CELL]
Matn1NM_010769.12.30*1.81[EMPTY_CELL]
MlycdNM_019966.22.08**1.19[EMPTY_CELL]
Pacsin1NM_011861.22.20*1.28[EMPTY_CELL]
PrcpNM_028243.22.12**1.37[EMPTY_CELL]
Stab2NM_138673.22.03*1.32[EMPTY_CELL]
Atf4NM_009716.22.42*1.02[EMPTY_CELL]
Atp6v1dNM_023721.22.43**−1.01[EMPTY_CELL]
Fmr1nbNM_174993.12.35**1.14[EMPTY_CELL]
GnaqNM_008139.52.75**1.23[EMPTY_CELL]
Riok1NM_024242.22.37**1.08[EMPTY_CELL]
Tomm22NM_172609.32.35**1.04[EMPTY_CELL]
Zfp330NM_145600.12.58**1.14[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Gene symbol\", \"bbox\": [1, 5, 45, 14]}, {\"cell\": \"Accession No.\", \"bbox\": [100, 5, 146, 14]}, {\"cell\": \"Folder Δ SCNT/Agg\", \"bbox\": [195, 5, 260, 14]}, {\"cell\": \"Folder Δ SCNT/Con\", \"bbox\": [309, 5, 374, 14]}, {\"cell\": \"Folder Δ Agg/Con\", \"bbox\": [423, 5, 484, 14]}, {\"cell\": \"Cmas\", \"bbox\": [1, 18, 20, 27]}, {\"cell\": \"NM_009908.1\", \"bbox\": [100, 18, 145, 27]}, {\"cell\": \"3.15**\", \"bbox\": [218, 16, 238, 27]}, {\"cell\": \"1.85**\", \"bbox\": [335, 16, 354, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 18, 464, 27]}, {\"cell\": \"Ermap\", \"bbox\": [1, 32, 23, 41]}, {\"cell\": \"NM_013848.1\", \"bbox\": [100, 32, 145, 41]}, {\"cell\": \"2.53**\", \"bbox\": [218, 30, 238, 41]}, {\"cell\": \"2.84*\", \"bbox\": [335, 30, 352, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [449, 32, 464, 41]}, {\"cell\": \"Prl2a1\", \"bbox\": [1, 46, 22, 55]}, {\"cell\": \"NM_019991.1\", \"bbox\": [100, 46, 145, 55]}, {\"cell\": \"2.22**\", \"bbox\": [218, 44, 238, 55]}, {\"cell\": \"1.30*\", \"bbox\": [335, 44, 352, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 46, 464, 55]}, {\"cell\": \"Prl4a1\", \"bbox\": [1, 60, 22, 69]}, {\"cell\": \"NM_011165.3\", \"bbox\": [100, 60, 145, 69]}, {\"cell\": \"2.13**\", \"bbox\": [218, 58, 238, 69]}, {\"cell\": \"2.69**\", \"bbox\": [335, 58, 354, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [449, 60, 464, 69]}, {\"cell\": \"Sbsn\", \"bbox\": [1, 74, 18, 83]}, {\"cell\": \"NM_172205.3\", \"bbox\": [100, 74, 145, 83]}, {\"cell\": \"2.03*\", \"bbox\": [218, 72, 235, 83]}, {\"cell\": \"3.32**\", \"bbox\": [335, 72, 354, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [449, 74, 464, 83]}, {\"cell\": \"Serpinb9d\", \"bbox\": [1, 88, 35, 97]}, {\"cell\": \"NM_011460.1\", \"bbox\": [100, 88, 145, 97]}, {\"cell\": \"2.08**\", \"bbox\": [218, 86, 238, 97]}, {\"cell\": \"3.03**\", \"bbox\": [335, 86, 354, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [449, 88, 464, 97]}, {\"cell\": \"2310039H08Rik\", \"bbox\": [1, 102, 51, 111]}, {\"cell\": \"NM_025966.3\", \"bbox\": [100, 102, 145, 111]}, {\"cell\": \"2.11*\", \"bbox\": [218, 100, 235, 111]}, {\"cell\": \"1.28\", \"bbox\": [335, 102, 349, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 102, 464, 111]}, {\"cell\": \"Gpn2\", \"bbox\": [1, 116, 20, 125]}, {\"cell\": \"NM_133884.1\", \"bbox\": [100, 116, 145, 125]}, {\"cell\": \"2.14*\", \"bbox\": [218, 114, 235, 125]}, {\"cell\": \"1.14\", \"bbox\": [335, 116, 349, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 116, 464, 125]}, {\"cell\": \"H2-Q5\", \"bbox\": [1, 130, 23, 139]}, {\"cell\": \"NM_010393.1\", \"bbox\": [100, 130, 145, 139]}, {\"cell\": \"2.10**\", \"bbox\": [218, 128, 238, 139]}, {\"cell\": \"1.45\", \"bbox\": [335, 130, 349, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 130, 464, 139]}, {\"cell\": \"Matn1\", \"bbox\": [1, 144, 23, 153]}, {\"cell\": \"NM_010769.1\", \"bbox\": [100, 144, 145, 153]}, {\"cell\": \"2.30*\", \"bbox\": [218, 142, 235, 153]}, {\"cell\": \"1.81\", \"bbox\": [335, 144, 349, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 144, 464, 153]}, {\"cell\": \"Mlycd\", \"bbox\": [1, 158, 22, 167]}, {\"cell\": \"NM_019966.2\", \"bbox\": [100, 158, 145, 167]}, {\"cell\": \"2.08**\", \"bbox\": [218, 156, 238, 167]}, {\"cell\": \"1.19\", \"bbox\": [335, 158, 349, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 158, 464, 167]}, {\"cell\": \"Pacsin1\", \"bbox\": [1, 172, 26, 181]}, {\"cell\": \"NM_011861.2\", \"bbox\": [100, 172, 145, 181]}, {\"cell\": \"2.20*\", \"bbox\": [218, 170, 235, 181]}, {\"cell\": \"1.28\", \"bbox\": [335, 172, 349, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 172, 464, 181]}, {\"cell\": \"Prcp\", \"bbox\": [1, 186, 17, 195]}, {\"cell\": \"NM_028243.2\", \"bbox\": [100, 186, 145, 195]}, {\"cell\": \"2.12**\", \"bbox\": [218, 184, 238, 195]}, {\"cell\": \"1.37\", \"bbox\": [335, 186, 349, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 186, 464, 195]}, {\"cell\": \"Stab2\", \"bbox\": [1, 200, 20, 209]}, {\"cell\": \"NM_138673.2\", \"bbox\": [100, 200, 145, 209]}, {\"cell\": \"2.03*\", \"bbox\": [218, 198, 235, 209]}, {\"cell\": \"1.32\", \"bbox\": [335, 200, 349, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 200, 464, 209]}, {\"cell\": \"Atf4\", \"bbox\": [1, 214, 15, 223]}, {\"cell\": \"NM_009716.2\", \"bbox\": [100, 214, 145, 223]}, {\"cell\": \"2.42*\", \"bbox\": [218, 212, 235, 223]}, {\"cell\": \"1.02\", \"bbox\": [335, 214, 349, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 214, 464, 223]}, {\"cell\": \"Atp6v1d\", \"bbox\": [1, 228, 29, 237]}, {\"cell\": \"NM_023721.2\", \"bbox\": [100, 228, 145, 237]}, {\"cell\": \"2.43**\", \"bbox\": [218, 226, 238, 237]}, {\"cell\": \"−1.01\", \"bbox\": [330, 228, 349, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 228, 464, 237]}, {\"cell\": \"Fmr1nb\", \"bbox\": [1, 242, 27, 251]}, {\"cell\": \"NM_174993.1\", \"bbox\": [100, 242, 145, 251]}, {\"cell\": \"2.35**\", \"bbox\": [218, 240, 238, 251]}, {\"cell\": \"1.14\", \"bbox\": [335, 242, 349, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 242, 464, 251]}, {\"cell\": \"Gnaq\", \"bbox\": [1, 256, 20, 265]}, {\"cell\": \"NM_008139.5\", \"bbox\": [100, 256, 145, 265]}, {\"cell\": \"2.75**\", \"bbox\": [218, 254, 238, 265]}, {\"cell\": \"1.23\", \"bbox\": [335, 256, 349, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 256, 464, 265]}, {\"cell\": \"Riok1\", \"bbox\": [1, 270, 20, 279]}, {\"cell\": \"NM_024242.2\", \"bbox\": [100, 270, 145, 279]}, {\"cell\": \"2.37**\", \"bbox\": [218, 268, 238, 279]}, {\"cell\": \"1.08\", \"bbox\": [335, 270, 349, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 270, 464, 279]}, {\"cell\": \"Tomm22\", \"bbox\": [1, 284, 31, 293]}, {\"cell\": \"NM_172609.3\", \"bbox\": [100, 284, 145, 293]}, {\"cell\": \"2.35**\", \"bbox\": [218, 282, 238, 293]}, {\"cell\": \"1.04\", \"bbox\": [335, 284, 349, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 284, 464, 293]}, {\"cell\": \"Zfp330\", \"bbox\": [1, 298, 25, 307]}, {\"cell\": \"NM_145600.1\", \"bbox\": [100, 298, 145, 307]}, {\"cell\": \"2.58**\", \"bbox\": [218, 296, 238, 307]}, {\"cell\": \"1.14\", \"bbox\": [335, 298, 349, 307]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 298, 464, 307]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5368936_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
ParameterTB positive (n = 52)TB negative (n = 80)P valueAuramine positive (n = 19)MODS positive (n = 34)LJ positive (n = 40)Histological diagnosis of TB (n = 43)Total (n = 132)
No. (%) of femalesa23 (44.2)34 (42.5)0.863 (15.8)13 (38.2)[EMPTY_CELL]22 (51.2)57 (43.2)
Median age, yr (IQR)b39 (26–46)41 (27–55)0.3832 (29–40)32 (25–48)[EMPTY_CELL]35 (24–47)40 (25–52)
No. (%) HIV positivea20 (38.5)34 (42.5)0.7213 (68.4)12 (35.3)[EMPTY_CELL]15 (34.9)54 (40.9)
Median no. of CD4+ cells/mm3 (IQR)b75 (27–218)163 (121–271)0.1887 (25–140)75 (22–163)[EMPTY_CELL]63 (25–219)156 (41–234)
No. (%) with positive sputum smeara4 (7.7)0 (0)0.024 (2.1)3 (8.8)[EMPTY_CELL]3 (7.0)4 (3.0)
No. (%) on TB treatment for >1 wka5 (9.6)7 (8.8)1.005 (26.3)4 (11.8)[EMPTY_CELL]3 (7.0)12 (9.7)
No. (%) with previous TBa10 (19.2)13 (16.3)0.653 (15.8)2 (5.9)[EMPTY_CELL]7 (16.3)23 (17.4)
No. (%) with normal CXRa27 (51.9)38 (47.5)0.3758 (42.1)15 (48.4)[EMPTY_CELL]22 (51.2)65 (49.2)
No. (%) with abnormalc CXRa18 (34.6)28 (35.0)0.55810 (52.6)14 (44.1)[EMPTY_CELL]14 (32.6)46 (34.8)
\", \"cells\": [{\"cell\": \"Parameter\", \"bbox\": [1, 25, 36, 34]}, {\"cell\": \"TB positive (n = 52)\", \"bbox\": [135, 15, 173, 34]}, {\"cell\": \"TB negative (n = 80)\", \"bbox\": [182, 15, 222, 34]}, {\"cell\": \"P value\", \"bbox\": [237, 25, 262, 34]}, {\"cell\": \"Auramine positive (n = 19)\", \"bbox\": [269, 5, 303, 34]}, {\"cell\": \"MODS positive (n = 34)\", \"bbox\": [316, 5, 346, 34]}, {\"cell\": \"LJ positive (n = 40)\", \"bbox\": [364, 15, 399, 34]}, {\"cell\": \"Histological diagnosis of TB (n = 43)\", \"bbox\": [413, 5, 454, 34]}, {\"cell\": \"Total (n = 132)\", \"bbox\": [461, 15, 495, 34]}, {\"cell\": \"No. (%) of femalesa\", \"bbox\": [1, 37, 66, 47]}, {\"cell\": \"23 (44.2)\", \"bbox\": [135, 38, 166, 47]}, {\"cell\": \"34 (42.5)\", \"bbox\": [182, 38, 213, 47]}, {\"cell\": \"0.86\", \"bbox\": [237, 38, 252, 47]}, {\"cell\": \"3 (15.8)\", \"bbox\": [269, 38, 296, 47]}, {\"cell\": \"13 (38.2)\", \"bbox\": [316, 38, 347, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 38, 394, 47]}, {\"cell\": \"22 (51.2)\", \"bbox\": [413, 38, 444, 47]}, {\"cell\": \"57 (43.2)\", \"bbox\": [461, 38, 492, 47]}, {\"cell\": \"Median age, yr (IQR)b\", \"bbox\": [1, 47, 74, 57]}, {\"cell\": \"39 (26–46)\", \"bbox\": [135, 48, 171, 57]}, {\"cell\": \"41 (27–55)\", \"bbox\": [182, 48, 219, 57]}, {\"cell\": \"0.38\", \"bbox\": [237, 48, 252, 57]}, {\"cell\": \"32 (29–40)\", \"bbox\": [269, 48, 306, 57]}, {\"cell\": \"32 (25–48)\", \"bbox\": [316, 48, 353, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 48, 406, 57]}, {\"cell\": \"35 (24–47)\", \"bbox\": [413, 48, 450, 57]}, {\"cell\": \"40 (25–52)\", \"bbox\": [461, 48, 498, 57]}, {\"cell\": \"No. (%) HIV positivea\", \"bbox\": [1, 57, 75, 67]}, {\"cell\": \"20 (38.5)\", \"bbox\": [135, 58, 166, 67]}, {\"cell\": \"34 (42.5)\", \"bbox\": [182, 58, 213, 67]}, {\"cell\": \"0.72\", \"bbox\": [237, 58, 252, 67]}, {\"cell\": \"13 (68.4)\", \"bbox\": [269, 58, 300, 67]}, {\"cell\": \"12 (35.3)\", \"bbox\": [316, 58, 347, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 58, 394, 67]}, {\"cell\": \"15 (34.9)\", \"bbox\": [413, 58, 444, 67]}, {\"cell\": \"54 (40.9)\", \"bbox\": [461, 58, 492, 67]}, {\"cell\": \"Median no. of CD4+ cells/mm3 (IQR)b\", \"bbox\": [1, 67, 128, 77]}, {\"cell\": \"75 (27–218)\", \"bbox\": [135, 68, 175, 77]}, {\"cell\": \"163 (121–271)\", \"bbox\": [182, 68, 230, 77]}, {\"cell\": \"0.18\", \"bbox\": [237, 68, 252, 77]}, {\"cell\": \"87 (25–140)\", \"bbox\": [269, 68, 309, 77]}, {\"cell\": \"75 (22–163)\", \"bbox\": [316, 68, 357, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 68, 404, 77]}, {\"cell\": \"63 (25–219)\", \"bbox\": [413, 68, 453, 77]}, {\"cell\": \"156 (41–234)\", \"bbox\": [461, 68, 506, 77]}, {\"cell\": \"No. (%) with positive sputum smeara\", \"bbox\": [1, 77, 122, 87]}, {\"cell\": \"4 (7.7)\", \"bbox\": [135, 78, 158, 87]}, {\"cell\": \"0 (0)\", \"bbox\": [182, 78, 199, 87]}, {\"cell\": \"0.02\", \"bbox\": [237, 78, 252, 87]}, {\"cell\": \"4 (2.1)\", \"bbox\": [269, 78, 292, 87]}, {\"cell\": \"3 (8.8)\", \"bbox\": [316, 78, 339, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 78, 391, 87]}, {\"cell\": \"3 (7.0)\", \"bbox\": [413, 78, 436, 87]}, {\"cell\": \"4 (3.0)\", \"bbox\": [461, 78, 484, 87]}, {\"cell\": \"No. (%) on TB treatment for >1 wka\", \"bbox\": [1, 87, 122, 97]}, {\"cell\": \"5 (9.6)\", \"bbox\": [135, 88, 158, 97]}, {\"cell\": \"7 (8.8)\", \"bbox\": [182, 88, 205, 97]}, {\"cell\": \"1.00\", \"bbox\": [237, 88, 252, 97]}, {\"cell\": \"5 (26.3)\", \"bbox\": [269, 88, 296, 97]}, {\"cell\": \"4 (11.8)\", \"bbox\": [316, 88, 343, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 88, 391, 97]}, {\"cell\": \"3 (7.0)\", \"bbox\": [413, 88, 436, 97]}, {\"cell\": \"12 (9.7)\", \"bbox\": [461, 88, 488, 97]}, {\"cell\": \"No. (%) with previous TBa\", \"bbox\": [1, 97, 89, 107]}, {\"cell\": \"10 (19.2)\", \"bbox\": [135, 98, 166, 107]}, {\"cell\": \"13 (16.3)\", \"bbox\": [182, 98, 213, 107]}, {\"cell\": \"0.65\", \"bbox\": [237, 98, 252, 107]}, {\"cell\": \"3 (15.8)\", \"bbox\": [269, 98, 296, 107]}, {\"cell\": \"2 (5.9)\", \"bbox\": [316, 98, 339, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 98, 391, 107]}, {\"cell\": \"7 (16.3)\", \"bbox\": [413, 98, 440, 107]}, {\"cell\": \"23 (17.4)\", \"bbox\": [461, 98, 492, 107]}, {\"cell\": \"No. (%) with normal CXRa\", \"bbox\": [1, 107, 91, 117]}, {\"cell\": \"27 (51.9)\", \"bbox\": [135, 108, 166, 117]}, {\"cell\": \"38 (47.5)\", \"bbox\": [182, 108, 213, 117]}, {\"cell\": \"0.375\", \"bbox\": [237, 108, 256, 117]}, {\"cell\": \"8 (42.1)\", \"bbox\": [269, 108, 296, 117]}, {\"cell\": \"15 (48.4)\", \"bbox\": [316, 108, 347, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 108, 394, 117]}, {\"cell\": \"22 (51.2)\", \"bbox\": [413, 108, 444, 117]}, {\"cell\": \"65 (49.2)\", \"bbox\": [461, 108, 492, 117]}, {\"cell\": \"No. (%) with abnormalc CXRa\", \"bbox\": [1, 117, 100, 127]}, {\"cell\": \"18 (34.6)\", \"bbox\": [135, 118, 166, 127]}, {\"cell\": \"28 (35.0)\", \"bbox\": [182, 118, 213, 127]}, {\"cell\": \"0.558\", \"bbox\": [237, 118, 256, 127]}, {\"cell\": \"10 (52.6)\", \"bbox\": [269, 118, 300, 127]}, {\"cell\": \"14 (44.1)\", \"bbox\": [316, 118, 347, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 118, 394, 127]}, {\"cell\": \"14 (32.6)\", \"bbox\": [413, 118, 444, 127]}, {\"cell\": \"46 (34.8)\", \"bbox\": [461, 118, 492, 127]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4702711_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Total (n = 21)RH (n = 9)LH (n = 12)p
Male/female15/67/2[EMPTY_CELL]0.65
Mean age (years) (SD)55.3 (±5.9)54.2 (±2.8)[EMPTY_CELL]0.41
Time since lesion (months)32.6 (±17.7)37.4 (±19.9)[EMPTY_CELL]0.29
BMI (Kg/m2)30.1 (±5.6)29.5 (±6.8)[EMPTY_CELL]0.69
Weight (kg)73.2 (±10.9)75.3 (±11.7)[EMPTY_CELL]0.26
Height (m)1.5 (±9.36)1.6 (±9.5)[EMPTY_CELL]0.20
FIMMotor81 (±5.0)[EMPTY_CELL]0.03
Total107 (±16.0)107 (±8.7)[EMPTY_CELL]
Muscle strength Biceps brachial3.0 (±0.9)[EMPTY_CELL]0.4
Quadriceps3.8 (±0.4)3.9 (±0.7)[EMPTY_CELL]
Spasticity Biceps brachial1.2 (±0.7)[EMPTY_CELL]0.3
Gastrocnemius1.1 (±0.7)0.8 (±0.7)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Total (n = 21)\", \"bbox\": [160, 1, 212, 16]}, {\"cell\": \"RH (n = 9)\", \"bbox\": [275, 1, 316, 16]}, {\"cell\": \"LH (n = 12)\", \"bbox\": [376, 1, 422, 16]}, {\"cell\": \"p\", \"bbox\": [486, 1, 494, 16]}, {\"cell\": \"Male/female\", \"bbox\": [2, 17, 49, 27]}, {\"cell\": \"15/6\", \"bbox\": [178, 17, 195, 27]}, {\"cell\": \"7/2\", \"bbox\": [289, 17, 302, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 17, 406, 27]}, {\"cell\": \"0.65\", \"bbox\": [482, 17, 498, 27]}, {\"cell\": \"Mean age (years) (SD)\", \"bbox\": [2, 30, 84, 40]}, {\"cell\": \"55.3 (±5.9)\", \"bbox\": [166, 26, 206, 42]}, {\"cell\": \"54.2 (±2.8)\", \"bbox\": [275, 26, 316, 42]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 26, 419, 42]}, {\"cell\": \"0.41\", \"bbox\": [482, 30, 498, 40]}, {\"cell\": \"Time since lesion (months)\", \"bbox\": [2, 42, 102, 53]}, {\"cell\": \"32.6 (±17.7)\", \"bbox\": [165, 39, 207, 55]}, {\"cell\": \"37.4 (±19.9)\", \"bbox\": [274, 39, 317, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [380, 39, 418, 55]}, {\"cell\": \"0.29\", \"bbox\": [482, 42, 499, 53]}, {\"cell\": \"BMI (Kg/m2)\", \"bbox\": [2, 53, 53, 66]}, {\"cell\": \"30.1 (±5.6)\", \"bbox\": [166, 52, 206, 68]}, {\"cell\": \"29.5 (±6.8)\", \"bbox\": [275, 52, 316, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 52, 419, 68]}, {\"cell\": \"0.69\", \"bbox\": [481, 55, 499, 66]}, {\"cell\": \"Weight (kg)\", \"bbox\": [2, 68, 47, 79]}, {\"cell\": \"73.2 (±10.9)\", \"bbox\": [164, 65, 208, 80]}, {\"cell\": \"75.3 (±11.7)\", \"bbox\": [274, 65, 316, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [378, 65, 420, 80]}, {\"cell\": \"0.26\", \"bbox\": [481, 68, 499, 79]}, {\"cell\": \"Height (m)\", \"bbox\": [2, 81, 45, 92]}, {\"cell\": \"1.5 (±9.36)\", \"bbox\": [167, 78, 206, 93]}, {\"cell\": \"1.6 (±9.5)\", \"bbox\": [278, 78, 313, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [381, 78, 417, 93]}, {\"cell\": \"0.20\", \"bbox\": [482, 81, 499, 92]}, {\"cell\": \"FIM\", \"bbox\": [2, 99, 20, 110]}, {\"cell\": \"Motor\", \"bbox\": [174, 94, 199, 105]}, {\"cell\": \"81 (±5.0)\", \"bbox\": [279, 91, 312, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 91, 419, 106]}, {\"cell\": \"0.03\", \"bbox\": [482, 94, 498, 105]}, {\"cell\": \"Total\", \"bbox\": [176, 106, 196, 117]}, {\"cell\": \"107 (±16.0)\", \"bbox\": [275, 103, 316, 119]}, {\"cell\": \"107 (±8.7)\", \"bbox\": [380, 103, 418, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [482, 106, 498, 117]}, {\"cell\": \"Muscle strength \", \"bbox\": [2, 124, 62, 135]}, {\"cell\": \"Biceps brachial\", \"bbox\": [158, 119, 214, 130]}, {\"cell\": \"3.0 (±0.9)\", \"bbox\": [277, 116, 314, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [381, 116, 417, 131]}, {\"cell\": \"0.4\", \"bbox\": [484, 119, 496, 130]}, {\"cell\": \"Quadriceps\", \"bbox\": [165, 132, 208, 142]}, {\"cell\": \"3.8 (±0.4)\", \"bbox\": [277, 128, 314, 144]}, {\"cell\": \"3.9 (±0.7)\", \"bbox\": [381, 128, 417, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [484, 132, 496, 142]}, {\"cell\": \"Spasticity \", \"bbox\": [2, 150, 39, 160]}, {\"cell\": \"Biceps brachial\", \"bbox\": [158, 144, 214, 155]}, {\"cell\": \"1.2 (±0.7)\", \"bbox\": [278, 141, 313, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [381, 141, 417, 157]}, {\"cell\": \"0.3\", \"bbox\": [484, 144, 496, 155]}, {\"cell\": \"Gastrocnemius\", \"bbox\": [158, 157, 214, 168]}, {\"cell\": \"1.1 (±0.7)\", \"bbox\": [278, 154, 313, 169]}, {\"cell\": \"0.8 (±0.7)\", \"bbox\": [381, 154, 417, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [482, 157, 498, 168]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4637081_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Strain or PlasmidRelevant CharacteristicsReference or Source
Staphylococcus aureus[EMPTY_CELL][EMPTY_CELL]
RN4220[EMPTY_CELL][26]
CYL12337[EMPTY_CELL]This study
CYL12348[EMPTY_CELL]This study
CYL12349[EMPTY_CELL]This study
CYL12376[EMPTY_CELL]This study
E. coli[EMPTY_CELL][EMPTY_CELL]
DH5α[EMPTY_CELL]Invitrogen
XL1-Blue[EMPTY_CELL]Stratagene
Plasmids[EMPTY_CELL][EMPTY_CELL]
pCL52.2[EMPTY_CELL][27]
pLL3961[EMPTY_CELL]This study
pCL25[EMPTY_CELL][2]
pKOR1[EMPTY_CELL][21]
pYL112Δ19[EMPTY_CELL][3]
pLL102[EMPTY_CELL]This study
\", \"cells\": [{\"cell\": \"Strain or Plasmid\", \"bbox\": [1, 4, 62, 12]}, {\"cell\": \"Relevant Characteristics\", \"bbox\": [123, 4, 207, 12]}, {\"cell\": \"Reference or Source\", \"bbox\": [365, 4, 438, 12]}, {\"cell\": \"Staphylococcus aureus\", \"bbox\": [1, 17, 72, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"RN4220\", \"bbox\": [1, 30, 27, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [123, 30, 243, 40]}, {\"cell\": \"[26]\", \"bbox\": [365, 30, 379, 40]}, {\"cell\": \"CYL12337\", \"bbox\": [1, 44, 34, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [123, 44, 168, 53]}, {\"cell\": \"This study\", \"bbox\": [366, 44, 400, 53]}, {\"cell\": \"CYL12348\", \"bbox\": [1, 57, 34, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [123, 57, 168, 66]}, {\"cell\": \"This study\", \"bbox\": [366, 57, 400, 66]}, {\"cell\": \"CYL12349\", \"bbox\": [1, 70, 34, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [123, 70, 198, 79]}, {\"cell\": \"This study\", \"bbox\": [366, 70, 400, 79]}, {\"cell\": \"CYL12376\", \"bbox\": [1, 83, 34, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [123, 83, 186, 93]}, {\"cell\": \"This study\", \"bbox\": [366, 83, 400, 93]}, {\"cell\": \"E. coli\", \"bbox\": [1, 96, 20, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"DH5α\", \"bbox\": [1, 110, 21, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [123, 110, 267, 119]}, {\"cell\": \"Invitrogen\", \"bbox\": [366, 110, 400, 119]}, {\"cell\": \"XL1-Blue\", \"bbox\": [1, 123, 30, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [123, 123, 267, 132]}, {\"cell\": \"Stratagene\", \"bbox\": [366, 123, 402, 132]}, {\"cell\": \"Plasmids\", \"bbox\": [1, 136, 30, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"pCL52.2\", \"bbox\": [1, 149, 28, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [123, 149, 244, 159]}, {\"cell\": \"[27]\", \"bbox\": [366, 149, 379, 159]}, {\"cell\": \"pLL3961\", \"bbox\": [1, 162, 29, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [123, 162, 315, 172]}, {\"cell\": \"This study\", \"bbox\": [366, 162, 400, 172]}, {\"cell\": \"pCL25\", \"bbox\": [1, 176, 23, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [123, 176, 220, 185]}, {\"cell\": \"[2]\", \"bbox\": [366, 176, 375, 185]}, {\"cell\": \"pKOR1\", \"bbox\": [1, 189, 24, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [123, 189, 253, 198]}, {\"cell\": \"[21]\", \"bbox\": [366, 189, 379, 198]}, {\"cell\": \"pYL112Δ19\", \"bbox\": [1, 202, 38, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [123, 202, 233, 211]}, {\"cell\": \"[3]\", \"bbox\": [366, 202, 375, 211]}, {\"cell\": \"pLL102\", \"bbox\": [1, 215, 25, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [123, 215, 235, 225]}, {\"cell\": \"This study\", \"bbox\": [366, 215, 400, 225]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3274448_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
ParameterBaltic male cohort study group (n = 986)Estonian idiopathic infertility group (n = 607)
Mean ± SDMedian (25–75th percentile)Mean ± SDMedian (25–75th percentile)
A. General characteristics
Age (years)[EMPTY_CELL]19.8 (18.5–21.5)35.1 ± 5.930.7 (27.1–34.9)
BMI[EMPTY_CELL]22.1 (20.7–23.6)26.8 ± 4.5a26.0 (23.7–29.3)
Abstinence period (hours)[EMPTY_CELL]86.0 (63.0–134.0)75.3 ± 44.872.0 (48.0–96.0)
Total testes volume (mL)[EMPTY_CELL]50.0 (41.0–55.0)40.2 ± 10.240.0 (34.0–47.0)
Sperm concentration (106/mL)[EMPTY_CELL]63.3 (34.7–105.8)8.0 ± 5.97.0 (2.6–13.0)
B. Genotyping data of V‐LH (Trp8Arg, rs1800447)
Allele frequencies, % (number of chromosomes)
A[EMPTY_CELL][EMPTY_CELL]90.7 (1101)[EMPTY_CELL]
G[EMPTY_CELL][EMPTY_CELL]9.3 (113)[EMPTY_CELL]
Genotype frequencies, % (number of genotype carriers)b
A/A[EMPTY_CELL][EMPTY_CELL]82.4 (500)[EMPTY_CELL]
A/G[EMPTY_CELL][EMPTY_CELL]16.6 (101)[EMPTY_CELL]
G/G[EMPTY_CELL][EMPTY_CELL]1.0 (6)[EMPTY_CELL]
χ2 test[EMPTY_CELL][EMPTY_CELL]p = 0.27c[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Parameter\", \"bbox\": [1, 7, 34, 16]}, {\"cell\": \"Baltic male cohort study group (n = 986)\", \"bbox\": [142, 7, 269, 16]}, {\"cell\": \"Estonian idiopathic infertility group (n = 607)\", \"bbox\": [346, 7, 488, 16]}, {\"cell\": \"Mean ± SD\", \"bbox\": [142, 24, 179, 33]}, {\"cell\": \"Median (25–75th percentile)\", \"bbox\": [222, 24, 312, 33]}, {\"cell\": \"Mean ± SD\", \"bbox\": [346, 24, 385, 33]}, {\"cell\": \"Median (25–75th percentile)\", \"bbox\": [422, 24, 513, 33]}, {\"cell\": \"A. General characteristics\", \"bbox\": [1, 42, 79, 50]}, {\"cell\": \"Age (years)\", \"bbox\": [10, 50, 47, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [146, 50, 182, 59]}, {\"cell\": \"19.8 (18.5–21.5)\", \"bbox\": [222, 50, 276, 59]}, {\"cell\": \"35.1 ± 5.9\", \"bbox\": [346, 50, 383, 59]}, {\"cell\": \"30.7 (27.1–34.9)\", \"bbox\": [422, 50, 477, 59]}, {\"cell\": \"BMI\", \"bbox\": [10, 59, 25, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [146, 59, 182, 68]}, {\"cell\": \"22.1 (20.7–23.6)\", \"bbox\": [222, 59, 276, 68]}, {\"cell\": \"26.8 ± 4.5a\", \"bbox\": [346, 58, 386, 68]}, {\"cell\": \"26.0 (23.7–29.3)\", \"bbox\": [422, 59, 477, 68]}, {\"cell\": \"Abstinence period (hours)\", \"bbox\": [10, 68, 92, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [142, 68, 186, 77]}, {\"cell\": \"86.0 (63.0–134.0)\", \"bbox\": [222, 68, 280, 77]}, {\"cell\": \"75.3 ± 44.8\", \"bbox\": [346, 68, 387, 77]}, {\"cell\": \"72.0 (48.0–96.0)\", \"bbox\": [422, 68, 477, 77]}, {\"cell\": \"Total testes volume (mL)\", \"bbox\": [10, 77, 88, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [146, 77, 186, 86]}, {\"cell\": \"50.0 (41.0–55.0)\", \"bbox\": [222, 77, 276, 86]}, {\"cell\": \"40.2 ± 10.2\", \"bbox\": [346, 77, 387, 86]}, {\"cell\": \"40.0 (34.0–47.0)\", \"bbox\": [422, 77, 477, 86]}, {\"cell\": \"Sperm concentration (106/mL)\", \"bbox\": [10, 85, 107, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [146, 86, 186, 95]}, {\"cell\": \"63.3 (34.7–105.8)\", \"bbox\": [222, 86, 280, 95]}, {\"cell\": \"8.0 ± 5.9\", \"bbox\": [351, 86, 383, 95]}, {\"cell\": \"7.0 (2.6–13.0)\", \"bbox\": [426, 86, 473, 95]}, {\"cell\": \"B. Genotyping data of V‐LH (Trp8Arg, rs1800447)\", \"bbox\": [1, 95, 155, 104]}, {\"cell\": \"Allele frequencies, % (number of chromosomes)\", \"bbox\": [10, 104, 160, 113]}, {\"cell\": \"A\", \"bbox\": [17, 113, 24, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [148, 113, 187, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"90.7 (1101)\", \"bbox\": [349, 113, 388, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"G\", \"bbox\": [17, 122, 24, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [148, 122, 183, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"9.3 (113)\", \"bbox\": [353, 122, 384, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Genotype frequencies, % (number of genotype carriers)b\", \"bbox\": [10, 130, 187, 140]}, {\"cell\": \"A/A\", \"bbox\": [17, 140, 31, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [148, 140, 183, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"82.4 (500)\", \"bbox\": [349, 140, 384, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"A/G\", \"bbox\": [17, 149, 31, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [148, 149, 183, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"16.6 (101)\", \"bbox\": [349, 149, 384, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"G/G\", \"bbox\": [17, 158, 32, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [152, 158, 179, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.0 (6)\", \"bbox\": [353, 158, 376, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"χ2 test\", \"bbox\": [17, 166, 39, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"p = 0.27c\", \"bbox\": [346, 166, 378, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4832392_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
DALY RankDiseasePercent of total DALYsPercent of total YLLPercent of total YLD
1Unipolar depressive disorders[EMPTY_CELL]0.012.0
2Road traffic accidents[EMPTY_CELL]11.32.9
3Ischemic heart disease[EMPTY_CELL]11.6-
4Lower respiratory infections[EMPTY_CELL]10.2-
5Hearing loss, adult onset[EMPTY_CELL]-7.1
6Diabetes mellitus[EMPTY_CELL]3.34.1
7Conditions arising during the perinatal period[EMPTY_CELL]5.1-
8Congenital anomalies[EMPTY_CELL]3.6-
9Drug use disorders[EMPTY_CELL]-3.9
10Hypertensive heart disease[EMPTY_CELL]4.4-
11Self-inflicted injuries[EMPTY_CELL]2.6-
12Cerebrovascular disease[EMPTY_CELL]2.3-
13Breast cancer[EMPTY_CELL]1.8-
\", \"cells\": [{\"cell\": \"DALY Rank\", \"bbox\": [7, 4, 33, 23]}, {\"cell\": \"Disease\", \"bbox\": [52, 10, 82, 18]}, {\"cell\": \"Percent of total DALYs\", \"bbox\": [232, 4, 282, 23]}, {\"cell\": \"Percent of total YLL\", \"bbox\": [295, 4, 337, 23]}, {\"cell\": \"Percent of total YLD\", \"bbox\": [352, 4, 393, 23]}, {\"cell\": \"1\", \"bbox\": [7, 29, 13, 40]}, {\"cell\": \"Unipolar depressive disorders\", \"bbox\": [52, 29, 161, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 29, 245, 40]}, {\"cell\": \"0.0\", \"bbox\": [296, 29, 309, 40]}, {\"cell\": \"12.0\", \"bbox\": [352, 29, 370, 40]}, {\"cell\": \"2\", \"bbox\": [7, 43, 13, 53]}, {\"cell\": \"Road traffic accidents\", \"bbox\": [52, 43, 132, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 43, 245, 53]}, {\"cell\": \"11.3\", \"bbox\": [296, 43, 313, 53]}, {\"cell\": \"2.9\", \"bbox\": [352, 43, 365, 53]}, {\"cell\": \"3\", \"bbox\": [7, 57, 13, 67]}, {\"cell\": \"Ischemic heart disease\", \"bbox\": [52, 57, 135, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 57, 245, 67]}, {\"cell\": \"11.6\", \"bbox\": [295, 57, 313, 67]}, {\"cell\": \"-\", \"bbox\": [352, 57, 357, 67]}, {\"cell\": \"4\", \"bbox\": [7, 71, 13, 81]}, {\"cell\": \"Lower respiratory infections\", \"bbox\": [52, 71, 156, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 71, 245, 81]}, {\"cell\": \"10.2\", \"bbox\": [295, 71, 313, 81]}, {\"cell\": \"-\", \"bbox\": [352, 71, 357, 81]}, {\"cell\": \"5\", \"bbox\": [7, 85, 13, 95]}, {\"cell\": \"Hearing loss, adult onset\", \"bbox\": [52, 85, 143, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 85, 245, 95]}, {\"cell\": \"-\", \"bbox\": [296, 85, 301, 95]}, {\"cell\": \"7.1\", \"bbox\": [352, 85, 366, 95]}, {\"cell\": \"6\", \"bbox\": [7, 98, 13, 109]}, {\"cell\": \"Diabetes mellitus\", \"bbox\": [52, 98, 116, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 98, 245, 109]}, {\"cell\": \"3.3\", \"bbox\": [296, 98, 309, 109]}, {\"cell\": \"4.1\", \"bbox\": [352, 98, 365, 109]}, {\"cell\": \"7\", \"bbox\": [7, 112, 13, 122]}, {\"cell\": \"Conditions arising during the perinatal period\", \"bbox\": [52, 112, 218, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 112, 245, 122]}, {\"cell\": \"5.1\", \"bbox\": [295, 112, 309, 122]}, {\"cell\": \"-\", \"bbox\": [352, 112, 357, 122]}, {\"cell\": \"8\", \"bbox\": [7, 126, 13, 136]}, {\"cell\": \"Congenital anomalies\", \"bbox\": [52, 126, 132, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 126, 245, 136]}, {\"cell\": \"3.6\", \"bbox\": [295, 126, 309, 136]}, {\"cell\": \"-\", \"bbox\": [352, 126, 357, 136]}, {\"cell\": \"9\", \"bbox\": [7, 140, 13, 150]}, {\"cell\": \"Drug use disorders\", \"bbox\": [52, 140, 122, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 140, 245, 150]}, {\"cell\": \"-\", \"bbox\": [295, 140, 300, 150]}, {\"cell\": \"3.9\", \"bbox\": [352, 140, 365, 150]}, {\"cell\": \"10\", \"bbox\": [7, 154, 18, 164]}, {\"cell\": \"Hypertensive heart disease\", \"bbox\": [52, 154, 150, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 154, 245, 164]}, {\"cell\": \"4.4\", \"bbox\": [296, 154, 309, 164]}, {\"cell\": \"-\", \"bbox\": [352, 154, 357, 164]}, {\"cell\": \"11\", \"bbox\": [7, 167, 17, 178]}, {\"cell\": \"Self-inflicted injuries\", \"bbox\": [52, 167, 130, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 167, 237, 178]}, {\"cell\": \"2.6\", \"bbox\": [296, 167, 309, 178]}, {\"cell\": \"-\", \"bbox\": [352, 167, 357, 178]}, {\"cell\": \"12\", \"bbox\": [7, 181, 18, 191]}, {\"cell\": \"Cerebrovascular disease\", \"bbox\": [52, 181, 141, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 181, 237, 191]}, {\"cell\": \"2.3\", \"bbox\": [295, 181, 309, 191]}, {\"cell\": \"-\", \"bbox\": [352, 181, 357, 191]}, {\"cell\": \"13\", \"bbox\": [7, 195, 18, 205]}, {\"cell\": \"Breast cancer\", \"bbox\": [52, 195, 102, 205]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 195, 237, 205]}, {\"cell\": \"1.8\", \"bbox\": [295, 195, 309, 205]}, {\"cell\": \"-\", \"bbox\": [352, 195, 357, 205]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4776792_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]Control HHs (N = 117)Case HHs (N = 117)p-value
Age in yearsmean (SD)37.5(12.5)38.6(11.7)0.49
Gendern (%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Female[EMPTY_CELL]72(61.5)70(59.8)[EMPTY_CELL]
Male[EMPTY_CELL]45(38.5)47(40.2)[EMPTY_CELL]
Educationn (%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]None[EMPTY_CELL]3(2.6)5(4.3)[EMPTY_CELL]
Incomplete primary[EMPTY_CELL]11(9.4)19(16.2)[EMPTY_CELL]
Complete primary[EMPTY_CELL]48(41.0)45(38.5)[EMPTY_CELL]
Secondary[EMPTY_CELL]49(41.9)44(37.6)[EMPTY_CELL]
Superior, university[EMPTY_CELL]6(5.1)4(3.4)[EMPTY_CELL]
Current economic activityn (%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]None[EMPTY_CELL]9(7.8)9(7.7)[EMPTY_CELL]
Farmer[EMPTY_CELL]2(1.7)6(5.1)[EMPTY_CELL]
Trader[EMPTY_CELL]16(13.8)13(11.1)[EMPTY_CELL]
Moto driver[EMPTY_CELL]8(6.9)8(6.8)[EMPTY_CELL]
Hand labourer[EMPTY_CELL]20(17.2)22(18.8)[EMPTY_CELL]
Housewife[EMPTY_CELL]57(49.1)54(46.2)[EMPTY_CELL]
Other[EMPTY_CELL]4(3.4)5(4.3)[EMPTY_CELL]
Missing[EMPTY_CELL]1[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Monthly income amount*n (%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]None[EMPTY_CELL]61(55)64(56.6)[EMPTY_CELL]
<125 USD[EMPTY_CELL]18(16.2)16(14.2)[EMPTY_CELL]
≥125 USD[EMPTY_CELL]32(28.8)33(29.2)[EMPTY_CELL]
Missing[EMPTY_CELL]6[EMPTY_CELL]4[EMPTY_CELL][EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Control HHs (N = 117)\", \"bbox\": [118, 4, 162, 22]}, {\"cell\": \"Case HHs (N = 117)\", \"bbox\": [166, 4, 201, 22]}, {\"cell\": \"p-value\", \"bbox\": [209, 4, 236, 13]}, {\"cell\": \"Age in years\", \"bbox\": [1, 26, 46, 36]}, {\"cell\": \"mean (SD)\", \"bbox\": [79, 26, 114, 36]}, {\"cell\": \"37.5\", \"bbox\": [118, 26, 133, 36]}, {\"cell\": \"(12.5)\", \"bbox\": [140, 26, 159, 36]}, {\"cell\": \"38.6\", \"bbox\": [166, 26, 181, 36]}, {\"cell\": \"(11.7)\", \"bbox\": [185, 26, 204, 36]}, {\"cell\": \"0.49\", \"bbox\": [209, 26, 224, 36]}, {\"cell\": \"Gender\", \"bbox\": [1, 40, 28, 50]}, {\"cell\": \"n (%)\", \"bbox\": [79, 40, 97, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Female\", \"bbox\": [10, 54, 35, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"72\", \"bbox\": [118, 54, 128, 64]}, {\"cell\": \"(61.5)\", \"bbox\": [140, 54, 159, 64]}, {\"cell\": \"70\", \"bbox\": [166, 54, 176, 64]}, {\"cell\": \"(59.8)\", \"bbox\": [185, 54, 204, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [209, 54, 224, 64]}, {\"cell\": \"Male\", \"bbox\": [10, 68, 27, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"45\", \"bbox\": [118, 68, 128, 78]}, {\"cell\": \"(38.5)\", \"bbox\": [140, 68, 159, 78]}, {\"cell\": \"47\", \"bbox\": [166, 68, 176, 78]}, {\"cell\": \"(40.2)\", \"bbox\": [185, 68, 204, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Education\", \"bbox\": [1, 82, 37, 92]}, {\"cell\": \"n (%)\", \"bbox\": [79, 82, 97, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"None\", \"bbox\": [10, 96, 29, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3\", \"bbox\": [118, 96, 124, 106]}, {\"cell\": \"(2.6)\", \"bbox\": [140, 96, 155, 106]}, {\"cell\": \"5\", \"bbox\": [166, 96, 172, 106]}, {\"cell\": \"(4.3)\", \"bbox\": [185, 96, 200, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [209, 96, 224, 106]}, {\"cell\": \"Incomplete primary\", \"bbox\": [10, 110, 74, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"11\", \"bbox\": [118, 110, 128, 120]}, {\"cell\": \"(9.4)\", \"bbox\": [140, 110, 155, 120]}, {\"cell\": \"19\", \"bbox\": [166, 110, 176, 120]}, {\"cell\": \"(16.2)\", \"bbox\": [185, 110, 204, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Complete primary\", \"bbox\": [10, 124, 69, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"48\", \"bbox\": [118, 124, 128, 134]}, {\"cell\": \"(41.0)\", \"bbox\": [140, 124, 159, 134]}, {\"cell\": \"45\", \"bbox\": [166, 124, 176, 134]}, {\"cell\": \"(38.5)\", \"bbox\": [185, 124, 204, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Secondary\", \"bbox\": [10, 138, 45, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"49\", \"bbox\": [118, 138, 128, 148]}, {\"cell\": \"(41.9)\", \"bbox\": [140, 138, 159, 148]}, {\"cell\": \"44\", \"bbox\": [166, 138, 176, 148]}, {\"cell\": \"(37.6)\", \"bbox\": [185, 138, 204, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Superior, university\", \"bbox\": [10, 152, 72, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"6\", \"bbox\": [118, 152, 124, 162]}, {\"cell\": \"(5.1)\", \"bbox\": [140, 152, 155, 162]}, {\"cell\": \"4\", \"bbox\": [166, 152, 172, 162]}, {\"cell\": \"(3.4)\", \"bbox\": [185, 152, 200, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Current economic activity\", \"bbox\": [1, 166, 64, 185]}, {\"cell\": \"n (%)\", \"bbox\": [79, 166, 97, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"None\", \"bbox\": [10, 189, 29, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"9\", \"bbox\": [118, 189, 124, 199]}, {\"cell\": \"(7.8)\", \"bbox\": [140, 189, 155, 199]}, {\"cell\": \"9\", \"bbox\": [166, 189, 172, 199]}, {\"cell\": \"(7.7)\", \"bbox\": [185, 189, 200, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [209, 189, 223, 199]}, {\"cell\": \"Farmer\", \"bbox\": [10, 203, 34, 213]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2\", \"bbox\": [118, 203, 124, 213]}, {\"cell\": \"(1.7)\", \"bbox\": [140, 203, 155, 213]}, {\"cell\": \"6\", \"bbox\": [166, 203, 172, 213]}, {\"cell\": \"(5.1)\", \"bbox\": [185, 203, 200, 213]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Trader\", \"bbox\": [10, 217, 32, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"16\", \"bbox\": [118, 217, 128, 227]}, {\"cell\": \"(13.8)\", \"bbox\": [140, 217, 159, 227]}, {\"cell\": \"13\", \"bbox\": [166, 217, 176, 227]}, {\"cell\": \"(11.1)\", \"bbox\": [185, 217, 204, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Moto driver\", \"bbox\": [10, 231, 49, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"8\", \"bbox\": [118, 231, 124, 241]}, {\"cell\": \"(6.9)\", \"bbox\": [140, 231, 155, 241]}, {\"cell\": \"8\", \"bbox\": [166, 231, 172, 241]}, {\"cell\": \"(6.8)\", \"bbox\": [185, 231, 200, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Hand labourer\", \"bbox\": [10, 245, 58, 255]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"20\", \"bbox\": [118, 245, 128, 255]}, {\"cell\": \"(17.2)\", \"bbox\": [140, 245, 159, 255]}, {\"cell\": \"22\", \"bbox\": [166, 245, 176, 255]}, {\"cell\": \"(18.8)\", \"bbox\": [185, 245, 204, 255]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Housewife\", \"bbox\": [10, 259, 45, 269]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"57\", \"bbox\": [118, 259, 128, 269]}, {\"cell\": \"(49.1)\", \"bbox\": [140, 259, 159, 269]}, {\"cell\": \"54\", \"bbox\": [166, 259, 176, 269]}, {\"cell\": \"(46.2)\", \"bbox\": [185, 259, 204, 269]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Other\", \"bbox\": [10, 273, 30, 283]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"4\", \"bbox\": [118, 273, 124, 283]}, {\"cell\": \"(3.4)\", \"bbox\": [140, 273, 155, 283]}, {\"cell\": \"5\", \"bbox\": [166, 273, 172, 283]}, {\"cell\": \"(4.3)\", \"bbox\": [185, 273, 200, 283]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Missing\", \"bbox\": [10, 287, 36, 297]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [118, 287, 124, 297]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Monthly income amount*\", \"bbox\": [0, 301, 59, 320]}, {\"cell\": \"n (%)\", \"bbox\": [79, 301, 97, 311]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"None\", \"bbox\": [10, 324, 29, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"61\", \"bbox\": [118, 324, 128, 334]}, {\"cell\": \"(55)\", \"bbox\": [140, 324, 154, 334]}, {\"cell\": \"64\", \"bbox\": [166, 324, 176, 334]}, {\"cell\": \"(56.6)\", \"bbox\": [185, 324, 204, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [209, 324, 223, 334]}, {\"cell\": \"<125 USD\", \"bbox\": [10, 338, 44, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"18\", \"bbox\": [118, 338, 128, 348]}, {\"cell\": \"(16.2)\", \"bbox\": [140, 338, 159, 348]}, {\"cell\": \"16\", \"bbox\": [166, 338, 176, 348]}, {\"cell\": \"(14.2)\", \"bbox\": [185, 338, 204, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"≥125 USD\", \"bbox\": [10, 352, 45, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"32\", \"bbox\": [118, 352, 128, 362]}, {\"cell\": \"(28.8)\", \"bbox\": [140, 352, 159, 362]}, {\"cell\": \"33\", \"bbox\": [166, 352, 176, 362]}, {\"cell\": \"(29.2)\", \"bbox\": [185, 352, 204, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Missing\", \"bbox\": [10, 366, 36, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"6\", \"bbox\": [118, 366, 124, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"4\", \"bbox\": [166, 366, 172, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4416302_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Gene class[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Ribosomal RNAs[EMPTY_CELL]rrn5 x2rrn16 x2rrn23 x2
Transfer RNAs[EMPTY_CELL]trnC-GCAtrnD-GUCtrnE-UUC
[EMPTY_CELL][EMPTY_CELL]trnG-GCCtrnG-UCC*trnH-GUG
[EMPTY_CELL][EMPTY_CELL]trnI-GAU* x2trnK-UUU*trnL-CAA
[EMPTY_CELL][EMPTY_CELL]trnL-UAGtrnM-CAUtrnfM-CAU
[EMPTY_CELL][EMPTY_CELL]trnP-GGGtrnP-UGGtrnQ-UUG
[EMPTY_CELL][EMPTY_CELL]trnR-CCG ctrnR-UCUtrnS-CGA in Ea
[EMPTY_CELL][EMPTY_CELL]trnS-GGAtrnS-UGAtrnT-GGU
[EMPTY_CELL][EMPTY_CELL]trnV-GAC x2trnV-UAC*trnW-CCA
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Photosystem I[EMPTY_CELL]psaB bpsaCpsaI b
[EMPTY_CELL][EMPTY_CELL]psaM[EMPTY_CELL][EMPTY_CELL]
Photosystem II[EMPTY_CELL]psbBpsbCpsbD
[EMPTY_CELL][EMPTY_CELL]psbFpsbH bpsbI
[EMPTY_CELL][EMPTY_CELL]psbKpsbL bpsbM
[EMPTY_CELL][EMPTY_CELL]psbT bpsbZ[EMPTY_CELL]
Cytochrome[EMPTY_CELL]petB* b, epetD* b, epetG b
[EMPTY_CELL][EMPTY_CELL]petN b[EMPTY_CELL][EMPTY_CELL]
ATP synthase[EMPTY_CELL]atpBatpEatpF*
[EMPTY_CELL][EMPTY_CELL]atpI b[EMPTY_CELL][EMPTY_CELL]
Rubisco[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Chlorophyll biosynthesis[EMPTY_CELL]chlL bchlN[EMPTY_CELL]
NADH dehydrogenase[EMPTY_CELL]ndhB*ndhCndhD b, i
[EMPTY_CELL][EMPTY_CELL]ndhF indhGndhH b
[EMPTY_CELL][EMPTY_CELL]ndhJ i, endhK[EMPTY_CELL]
Ribosomal proteins[EMPTY_CELL]rpl14 b, i, erpl16*rpl20 b
[EMPTY_CELL][EMPTY_CELL]rpl22rpl23rpl32
[EMPTY_CELL][EMPTY_CELL]rpl36rps2 ψ (If)rps3
[EMPTY_CELL][EMPTY_CELL]rps7 x2 in Ifrps8 brps11 b, s
[EMPTY_CELL][EMPTY_CELL]rps14rps15rps16 ψ in If
[EMPTY_CELL][EMPTY_CELL]rps19[EMPTY_CELL][EMPTY_CELL]
RNA polymerase[EMPTY_CELL]rpoB irpoC1* irpoC2 i
Miscellaneous proteins[EMPTY_CELL]ccsA bmatKclpP*
[EMPTY_CELL][EMPTY_CELL]cemA itufA ψ in If[EMPTY_CELL]
Hypothetical proteins[EMPTY_CELL]ycf2 iycf3*ycf4 b
[EMPTY_CELL][EMPTY_CELL]ycf66* ψ (Ea)[EMPTY_CELL][EMPTY_CELL]
Duplicate gene fragments[EMPTY_CELL]ycf2 IR in IfndhF IR in Ea[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Gene class\", \"bbox\": [1, 4, 39, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ribosomal RNAs\", \"bbox\": [1, 17, 59, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 17, 165, 27]}, {\"cell\": \"rrn5 x2\", \"bbox\": [225, 17, 249, 27]}, {\"cell\": \"rrn16 x2\", \"bbox\": [310, 17, 338, 27]}, {\"cell\": \"rrn23 x2\", \"bbox\": [397, 17, 425, 27]}, {\"cell\": \"Transfer RNAs\", \"bbox\": [1, 29, 51, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 29, 179, 39]}, {\"cell\": \"trnC-GCA\", \"bbox\": [225, 29, 255, 39]}, {\"cell\": \"trnD-GUC\", \"bbox\": [310, 29, 342, 39]}, {\"cell\": \"trnE-UUC\", \"bbox\": [397, 29, 428, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 41, 165, 51]}, {\"cell\": \"trnG-GCC\", \"bbox\": [225, 41, 255, 51]}, {\"cell\": \"trnG-UCC*\", \"bbox\": [310, 41, 344, 51]}, {\"cell\": \"trnH-GUG\", \"bbox\": [397, 41, 429, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 53, 163, 63]}, {\"cell\": \"trnI-GAU* x2\", \"bbox\": [225, 53, 266, 63]}, {\"cell\": \"trnK-UUU*\", \"bbox\": [310, 53, 344, 63]}, {\"cell\": \"trnL-CAA\", \"bbox\": [397, 53, 426, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 65, 168, 74]}, {\"cell\": \"trnL-UAG\", \"bbox\": [225, 65, 254, 74]}, {\"cell\": \"trnM-CAU\", \"bbox\": [310, 65, 342, 74]}, {\"cell\": \"trnfM-CAU\", \"bbox\": [397, 65, 432, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 77, 177, 86]}, {\"cell\": \"trnP-GGG\", \"bbox\": [225, 77, 255, 86]}, {\"cell\": \"trnP-UGG\", \"bbox\": [310, 77, 341, 86]}, {\"cell\": \"trnQ-UUG\", \"bbox\": [397, 77, 430, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 89, 175, 98]}, {\"cell\": \"trnR-CCG c\", \"bbox\": [225, 89, 261, 98]}, {\"cell\": \"trnR-UCU\", \"bbox\": [310, 89, 341, 98]}, {\"cell\": \"trnS-CGA in Ea\", \"bbox\": [397, 89, 446, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 101, 166, 110]}, {\"cell\": \"trnS-GGA\", \"bbox\": [225, 101, 255, 110]}, {\"cell\": \"trnS-UGA\", \"bbox\": [310, 101, 340, 110]}, {\"cell\": \"trnT-GGU\", \"bbox\": [397, 101, 428, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 113, 166, 122]}, {\"cell\": \"trnV-GAC x2\", \"bbox\": [225, 113, 264, 122]}, {\"cell\": \"trnV-UAC*\", \"bbox\": [310, 113, 343, 122]}, {\"cell\": \"trnW-CCA\", \"bbox\": [397, 113, 429, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 125, 166, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Photosystem I\", \"bbox\": [1, 137, 52, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 137, 154, 146]}, {\"cell\": \"psaB b\", \"bbox\": [225, 137, 250, 146]}, {\"cell\": \"psaC\", \"bbox\": [310, 137, 328, 146]}, {\"cell\": \"psaI b\", \"bbox\": [397, 137, 420, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 149, 152, 158]}, {\"cell\": \"psaM\", \"bbox\": [225, 149, 243, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Photosystem II\", \"bbox\": [1, 161, 54, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 161, 154, 170]}, {\"cell\": \"psbB\", \"bbox\": [225, 161, 243, 170]}, {\"cell\": \"psbC\", \"bbox\": [310, 161, 328, 170]}, {\"cell\": \"psbD\", \"bbox\": [397, 161, 416, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 173, 153, 182]}, {\"cell\": \"psbF\", \"bbox\": [225, 173, 242, 182]}, {\"cell\": \"psbH b\", \"bbox\": [310, 173, 336, 182]}, {\"cell\": \"psbI\", \"bbox\": [397, 173, 413, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 185, 152, 194]}, {\"cell\": \"psbK\", \"bbox\": [225, 185, 243, 194]}, {\"cell\": \"psbL b\", \"bbox\": [310, 185, 335, 194]}, {\"cell\": \"psbM\", \"bbox\": [397, 185, 417, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 197, 155, 206]}, {\"cell\": \"psbT b\", \"bbox\": [225, 197, 249, 206]}, {\"cell\": \"psbZ\", \"bbox\": [310, 197, 328, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Cytochrome\", \"bbox\": [1, 208, 44, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 208, 153, 218]}, {\"cell\": \"petB* b, e\", \"bbox\": [225, 208, 260, 218]}, {\"cell\": \"petD* b, e\", \"bbox\": [310, 208, 346, 218]}, {\"cell\": \"petG b\", \"bbox\": [397, 208, 422, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 220, 152, 230]}, {\"cell\": \"petN b\", \"bbox\": [225, 220, 248, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"ATP synthase\", \"bbox\": [1, 232, 49, 242]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 232, 154, 242]}, {\"cell\": \"atpB\", \"bbox\": [225, 232, 242, 242]}, {\"cell\": \"atpE\", \"bbox\": [310, 232, 327, 242]}, {\"cell\": \"atpF*\", \"bbox\": [397, 232, 417, 242]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 244, 154, 254]}, {\"cell\": \"atpI b\", \"bbox\": [225, 244, 247, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Rubisco\", \"bbox\": [1, 256, 29, 266]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 256, 159, 266]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Chlorophyll biosynthesis\", \"bbox\": [1, 268, 88, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 268, 150, 278]}, {\"cell\": \"chlL b\", \"bbox\": [225, 268, 246, 278]}, {\"cell\": \"chlN\", \"bbox\": [310, 268, 326, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"NADH dehydrogenase\", \"bbox\": [1, 280, 80, 290]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 280, 164, 290]}, {\"cell\": \"ndhB*\", \"bbox\": [225, 280, 246, 290]}, {\"cell\": \"ndhC\", \"bbox\": [310, 280, 328, 290]}, {\"cell\": \"ndhD b, i\", \"bbox\": [397, 280, 429, 290]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 292, 153, 302]}, {\"cell\": \"ndhF i\", \"bbox\": [225, 292, 246, 302]}, {\"cell\": \"ndhG\", \"bbox\": [310, 292, 329, 302]}, {\"cell\": \"ndhH b\", \"bbox\": [397, 292, 423, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 304, 151, 314]}, {\"cell\": \"ndhJ i, e\", \"bbox\": [225, 304, 254, 314]}, {\"cell\": \"ndhK\", \"bbox\": [310, 304, 328, 314]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ribosomal proteins\", \"bbox\": [1, 316, 70, 326]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 316, 154, 326]}, {\"cell\": \"rpl14 b, i, e\", \"bbox\": [225, 316, 264, 326]}, {\"cell\": \"rpl16*\", \"bbox\": [310, 316, 332, 326]}, {\"cell\": \"rpl20 b\", \"bbox\": [397, 316, 423, 326]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 328, 157, 337]}, {\"cell\": \"rpl22\", \"bbox\": [225, 328, 242, 337]}, {\"cell\": \"rpl23\", \"bbox\": [310, 328, 327, 337]}, {\"cell\": \"rpl32\", \"bbox\": [397, 328, 415, 337]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 340, 153, 349]}, {\"cell\": \"rpl36\", \"bbox\": [225, 340, 244, 349]}, {\"cell\": \"rps2 ψ (If)\", \"bbox\": [310, 340, 344, 349]}, {\"cell\": \"rps3\", \"bbox\": [397, 340, 414, 349]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 352, 159, 361]}, {\"cell\": \"rps7 x2 in If\", \"bbox\": [225, 352, 266, 361]}, {\"cell\": \"rps8 b\", \"bbox\": [310, 352, 333, 361]}, {\"cell\": \"rps11 b, s\", \"bbox\": [397, 352, 432, 361]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 364, 171, 373]}, {\"cell\": \"rps14\", \"bbox\": [225, 364, 245, 373]}, {\"cell\": \"rps15\", \"bbox\": [310, 364, 328, 373]}, {\"cell\": \"rps16 ψ in If\", \"bbox\": [397, 364, 438, 373]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 376, 156, 385]}, {\"cell\": \"rps19\", \"bbox\": [225, 376, 245, 385]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"RNA polymerase\", \"bbox\": [1, 388, 60, 397]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 388, 156, 397]}, {\"cell\": \"rpoB i\", \"bbox\": [225, 388, 247, 397]}, {\"cell\": \"rpoC1* i\", \"bbox\": [310, 388, 339, 397]}, {\"cell\": \"rpoC2 i\", \"bbox\": [397, 388, 422, 397]}, {\"cell\": \"Miscellaneous proteins\", \"bbox\": [1, 400, 82, 409]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 400, 169, 409]}, {\"cell\": \"ccsA b\", \"bbox\": [225, 400, 247, 409]}, {\"cell\": \"matK\", \"bbox\": [310, 400, 328, 409]}, {\"cell\": \"clpP*\", \"bbox\": [397, 400, 415, 409]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 412, 182, 421]}, {\"cell\": \"cemA i\", \"bbox\": [225, 412, 248, 421]}, {\"cell\": \"tufA ψ in If\", \"bbox\": [310, 412, 347, 421]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Hypothetical proteins\", \"bbox\": [1, 424, 78, 433]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 424, 157, 433]}, {\"cell\": \"ycf2 i\", \"bbox\": [225, 424, 243, 433]}, {\"cell\": \"ycf3*\", \"bbox\": [310, 424, 329, 433]}, {\"cell\": \"ycf4 b\", \"bbox\": [397, 424, 420, 433]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 436, 153, 445]}, {\"cell\": \"ycf66* ψ (Ea)\", \"bbox\": [225, 436, 267, 445]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Duplicate gene fragments\", \"bbox\": [0, 448, 93, 457]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 448, 176, 457]}, {\"cell\": \"ycf2 IR in If\", \"bbox\": [225, 448, 262, 457]}, {\"cell\": \"ndhF IR in Ea\", \"bbox\": [310, 448, 355, 457]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3087542_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Exclusion power Pu
Type of markersSize of factorial design (Nf x Nm)Alleles/ locusaNumber of lociPredicted (Eq.2)*SimulatedPredicted (Eq.7)**
Idealized markers (equally frequent alleles)10x10530.30640.2123[EMPTY_CELL]
[EMPTY_CELL]10x10560.98610.9163[EMPTY_CELL]
[EMPTY_CELL]10x10590.99980.9947[EMPTY_CELL]
[EMPTY_CELL]10x105121.00000.9997[EMPTY_CELL]
[EMPTY_CELL]10x101030.96900.8448[EMPTY_CELL]
[EMPTY_CELL]10x101061.00000.9987[EMPTY_CELL]
[EMPTY_CELL]20x20530.00850.0321[EMPTY_CELL]
[EMPTY_CELL]20x20560.94530.8143[EMPTY_CELL]
[EMPTY_CELL]20x20590.99930.9884[EMPTY_CELL]
[EMPTY_CELL]20x205121.00000.9993[EMPTY_CELL]
[EMPTY_CELL]20x201030.88100.6717[EMPTY_CELL]
[EMPTY_CELL]20x201061.00000.9972[EMPTY_CELL]
Real microsatellites76x1320.181.00000.9994[EMPTY_CELL]
[EMPTY_CELL]75x2621.760.99990.9934[EMPTY_CELL]
[EMPTY_CELL]41x819.360.99990.9928[EMPTY_CELL]
[EMPTY_CELL]20x216.340.99860.9465[EMPTY_CELL]
[EMPTY_CELL]147x87.580.99110.8604[EMPTY_CELL]
[EMPTY_CELL]96x87.680.99750.9473[EMPTY_CELL]
[EMPTY_CELL]24x107.880.99900.9712[EMPTY_CELL]
[EMPTY_CELL]100x1017.5120.99680.9708[EMPTY_CELL]
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194, 253]}, {\"cell\": \"6\", \"bbox\": [245, 243, 251, 253]}, {\"cell\": \"0.9999\", \"bbox\": [307, 243, 330, 253]}, {\"cell\": \"0.9928\", \"bbox\": [376, 243, 398, 253]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 243, 444, 253]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"20x2\", \"bbox\": [89, 257, 106, 267]}, {\"cell\": \"16.3\", \"bbox\": [179, 257, 194, 267]}, {\"cell\": \"4\", \"bbox\": [245, 257, 251, 267]}, {\"cell\": \"0.9986\", \"bbox\": [307, 257, 330, 267]}, {\"cell\": \"0.9465\", \"bbox\": [376, 257, 398, 267]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 257, 444, 267]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"147x8\", \"bbox\": [89, 271, 110, 281]}, {\"cell\": \"7.5\", \"bbox\": [179, 271, 190, 281]}, {\"cell\": \"8\", \"bbox\": [245, 271, 251, 281]}, {\"cell\": \"0.9911\", \"bbox\": [307, 271, 330, 281]}, {\"cell\": \"0.8604\", \"bbox\": [376, 271, 398, 281]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 271, 444, 281]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"96x8\", \"bbox\": [89, 285, 106, 294]}, {\"cell\": \"7.6\", \"bbox\": [179, 285, 190, 294]}, {\"cell\": \"8\", \"bbox\": [245, 285, 251, 294]}, {\"cell\": \"0.9975\", \"bbox\": [307, 285, 330, 294]}, {\"cell\": \"0.9473\", \"bbox\": [376, 285, 398, 294]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 285, 444, 294]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"24x10\", \"bbox\": [89, 299, 110, 308]}, {\"cell\": \"7.8\", \"bbox\": [179, 299, 190, 308]}, {\"cell\": \"8\", \"bbox\": [245, 299, 251, 308]}, {\"cell\": \"0.9990\", \"bbox\": [307, 299, 330, 308]}, {\"cell\": \"0.9712\", \"bbox\": [376, 299, 398, 308]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 299, 444, 308]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"100x101\", \"bbox\": [89, 312, 118, 322]}, {\"cell\": \"7.5\", \"bbox\": [179, 312, 190, 322]}, {\"cell\": \"12\", \"bbox\": [245, 312, 254, 322]}, {\"cell\": \"0.9968\", \"bbox\": [307, 312, 330, 322]}, {\"cell\": \"0.9708\", \"bbox\": [376, 312, 398, 322]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 312, 444, 322]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3523974_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariableArtesunate–Amodiaquine (n = 189)Chloroquine (n = 190)
Male136 (72.0%)[EMPTY_CELL]
Age, y35.7 (1–68; 16·4)[EMPTY_CELL]
<67 (3.7%)[EMPTY_CELL]
6–1410 (5.3%)[EMPTY_CELL]
≥14172 (91.0%)[EMPTY_CELL]
Weight, kg68.8 (8.5–117.9; 18.8)[EMPTY_CELL]
Concomitant illness25 (13.2%)[EMPTY_CELL]
Residing in Manaus urban area170 (89.5%)[EMPTY_CELL]
Temperature (°C)37.2 (34.9–40.1; 1.3)[EMPTY_CELL]
Temperature ≥37.5°C85 (45.0%)[EMPTY_CELL]
Geometric mean parasite density per μL (95% confidence interval)1746 (1475–2068)[EMPTY_CELL]
Positive gametocytemia105 (55.6%)[EMPTY_CELL]
Hemoglobin (g/dL)13.3 (7.3–18.3; 1.9)[EMPTY_CELL]
Anemia93 (48.9%)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Variable\", \"bbox\": [0, 16, 27, 25]}, {\"cell\": \"Artesunate–Amodiaquine (n = 189)\", \"bbox\": [90, 7, 163, 25]}, {\"cell\": \"Chloroquine (n = 190)\", \"bbox\": [171, 16, 240, 25]}, {\"cell\": \"Male\", \"bbox\": [1, 30, 18, 39]}, {\"cell\": \"136 (72.0%)\", \"bbox\": [97, 30, 137, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 30, 214, 39]}, {\"cell\": \"Age, y\", \"bbox\": [1, 42, 22, 50]}, {\"cell\": \"35.7 (1–68; 16·4)\", \"bbox\": [95, 42, 149, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [172, 42, 225, 50]}, {\"cell\": \"<6\", \"bbox\": [1, 53, 11, 61]}, {\"cell\": \"7 (3.7%)\", \"bbox\": [105, 53, 133, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 53, 210, 61]}, {\"cell\": \"6–14\", \"bbox\": [1, 64, 17, 72]}, {\"cell\": \"10 (5.3%)\", \"bbox\": [101, 64, 133, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [178, 64, 209, 72]}, {\"cell\": \"≥14\", \"bbox\": [1, 75, 14, 83]}, {\"cell\": \"172 (91.0%)\", \"bbox\": [97, 75, 136, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 75, 214, 83]}, {\"cell\": \"Weight, kg\", \"bbox\": [1, 86, 36, 94]}, {\"cell\": \"68.8 (8.5–117.9; 18.8)\", \"bbox\": [95, 86, 162, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [172, 86, 239, 94]}, {\"cell\": \"Concomitant illness\", \"bbox\": [1, 97, 64, 105]}, {\"cell\": \"25 (13.2%)\", \"bbox\": [101, 97, 137, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [178, 97, 214, 105]}, {\"cell\": \"Residing in Manaus urban area\", \"bbox\": [1, 108, 83, 125]}, {\"cell\": \"170 (89.5%)\", \"bbox\": [97, 108, 137, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [176, 108, 213, 116]}, {\"cell\": \"Temperature (°C)\", \"bbox\": [1, 128, 55, 137]}, {\"cell\": \"37.2 (34.9–40.1; 1.3)\", \"bbox\": [96, 128, 160, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 128, 237, 137]}, {\"cell\": \"Temperature ≥37.5°C\", \"bbox\": [1, 139, 67, 148]}, {\"cell\": \"85 (45.0%)\", \"bbox\": [101, 139, 137, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [178, 139, 214, 148]}, {\"cell\": \"Geometric mean parasite density per μL (95% confidence interval)\", \"bbox\": [1, 150, 81, 177]}, {\"cell\": \"1746 (1475–2068)\", \"bbox\": [94, 150, 151, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 150, 227, 159]}, {\"cell\": \"Positive gametocytemia\", \"bbox\": [1, 179, 77, 188]}, {\"cell\": \"105 (55.6%)\", \"bbox\": [97, 179, 137, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 179, 214, 188]}, {\"cell\": \"Hemoglobin (g/dL)\", \"bbox\": [1, 190, 60, 199]}, {\"cell\": \"13.3 (7.3–18.3; 1.9)\", \"bbox\": [95, 190, 154, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [172, 190, 230, 199]}, {\"cell\": \"Anemia\", \"bbox\": [1, 201, 26, 210]}, {\"cell\": \"93 (48.9%)\", \"bbox\": [101, 201, 137, 210]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [178, 201, 214, 210]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5215218_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Model 1 (excluding variable: bowel cancer knowledge score from the model) (n = 89)
[EMPTY_CELL]Adjusted OR (95% CI)p-value
[EMPTY_CELL]4.5 (1.2-16.5)0.026*
[EMPTY_CELL]6.8 (2.0-23.3)0.002*
[EMPTY_CELL]19.8 (5.5-71.8)[EMPTY_CELL]
[EMPTY_CELL]
[EMPTY_CELL]6.91 (2.1-22.5)0.001*
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]9.97 (2.4-41.3)0.002*
[EMPTY_CELL]13.6 (3.4-54.0)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Model 1 (excluding variable: bowel cancer knowledge score from the model) (n = 89)\", \"bbox\": [1, 4, 298, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 34, 27]}, {\"cell\": \"Adjusted OR (95% CI)\", \"bbox\": [269, 17, 345, 27]}, {\"cell\": \"p-value\", \"bbox\": [398, 17, 425, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 29, 100, 41]}, {\"cell\": \"4.5 (1.2-16.5)\", \"bbox\": [269, 31, 310, 41]}, {\"cell\": \"0.026*\", \"bbox\": [398, 31, 422, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 43, 158, 55]}, {\"cell\": \"6.8 (2.0-23.3)\", \"bbox\": [269, 45, 310, 55]}, {\"cell\": \"0.002*\", \"bbox\": [398, 45, 422, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 57, 216, 69]}, {\"cell\": \"19.8 (5.5-71.8)\", \"bbox\": [269, 59, 314, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [398, 59, 432, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 72, 484, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 93, 123, 104]}, {\"cell\": \"6.91 (2.1-22.5)\", \"bbox\": [269, 94, 314, 104]}, {\"cell\": \"0.001*\", \"bbox\": [398, 94, 422, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 108, 130, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [398, 108, 432, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 121, 57, 132]}, {\"cell\": \"9.97 (2.4-41.3)\", \"bbox\": [269, 122, 314, 132]}, {\"cell\": \"0.002*\", \"bbox\": [398, 122, 422, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 135, 46, 146]}, {\"cell\": \"13.6 (3.4-54.0)\", \"bbox\": [269, 136, 314, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [398, 136, 432, 146]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3481427_010_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
SpecialtyNumber of visits (%)Claims (%)
Family medicine[EMPTY_CELL]51,157,561 (8.3)
Internal medicine[EMPTY_CELL]42,542,879 (6.9)
Otorhinolaryngology[EMPTY_CELL]29,718,395 (4.8)
Pediatrics[EMPTY_CELL]31,574,986 (5.1)
Ophthalmology[EMPTY_CELL]25,422,291 (4.1)
Obstetrics & Gynecology[EMPTY_CELL]19,674,700 (3.2)
All others[EMPTY_CELL][EMPTY_CELL]
Total[EMPTY_CELL]618,119,592 (100)
\", \"cells\": [{\"cell\": \"Specialty\", \"bbox\": [8, 6, 53, 18]}, {\"cell\": \"Number of visits (%)\", \"bbox\": [229, 6, 329, 18]}, {\"cell\": \"Claims (%)\", \"bbox\": [438, 6, 494, 18]}, {\"cell\": \"Family medicine\", \"bbox\": [7, 22, 87, 34]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [262, 22, 329, 34]}, {\"cell\": \"51,157,561 (8.3)\", \"bbox\": [419, 22, 494, 34]}, {\"cell\": \"Internal medicine\", \"bbox\": [7, 37, 92, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [268, 37, 329, 49]}, {\"cell\": \"42,542,879 (6.9)\", \"bbox\": [419, 37, 494, 49]}, {\"cell\": \"Otorhinolaryngology\", \"bbox\": [7, 52, 108, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [268, 52, 329, 64]}, {\"cell\": \"29,718,395 (4.8)\", \"bbox\": [419, 52, 494, 64]}, {\"cell\": \"Pediatrics\", \"bbox\": [7, 67, 56, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [273, 67, 329, 79]}, {\"cell\": \"31,574,986 (5.1)\", \"bbox\": [419, 67, 494, 79]}, {\"cell\": \"Ophthalmology\", \"bbox\": [7, 82, 82, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [273, 82, 329, 94]}, {\"cell\": \"25,422,291 (4.1)\", \"bbox\": [419, 82, 494, 94]}, {\"cell\": \"Obstetrics & Gynecology\", \"bbox\": [7, 97, 127, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [273, 97, 329, 109]}, {\"cell\": \"19,674,700 (3.2)\", \"bbox\": [419, 97, 494, 109]}, {\"cell\": \"All others\", \"bbox\": [7, 112, 55, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Total\", \"bbox\": [7, 127, 34, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [265, 127, 329, 139]}, {\"cell\": \"618,119,592 (100)\", \"bbox\": [411, 127, 494, 139]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4483733_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Each covariate adjusted only for gradeAll covariates and grade, included in the model
CovariatesOdds ratioEstimate (95% CI)p-valueOdds ratioEstimate (95% CI)p-value
Restraining factors[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Academic problems0.47 (0.30 to 0.71)< 0.001[EMPTY_CELL]0.49
Disturbed work0.62 (0.45 to 0.86)0.003[EMPTY_CELL]0.13
Bothered in class0.37 (0.23 to 0.61)< 0.001[EMPTY_CELL]0.02
Loneliness0.47 (0.34 to 0.65)< 0.001[EMPTY_CELL]0.23
Victimization0.45 (0.32 to 0.62)< 0.001[EMPTY_CELL]0.26
Promoting factors[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
School work enjoyment1.66 (1.08 to 2.56)0.02[EMPTY_CELL]0.09
Necessary academic help2.18 (1.46 to 3.26)< 0.001[EMPTY_CELL]0.95
School work satisfaction1.42 (0.97 to 2.08)0.07[EMPTY_CELL]0.69
Friends1.18 (0.85 to 1.64)0.34[EMPTY_CELL]0.10
Supportive peers1.44 (1.08 to 1.93)0.01[EMPTY_CELL]0.14
Supportive teacher1.12 (0.83 to 1.50)0.45[EMPTY_CELL]0.99
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Each covariate adjusted only for grade\", \"bbox\": [131, 4, 269, 13]}, {\"cell\": \"All covariates and grade, included in the model\", \"bbox\": [302, 4, 470, 13]}, {\"cell\": \"Covariates\", \"bbox\": [0, 17, 39, 27]}, {\"cell\": \"Odds ratioEstimate (95% CI)\", \"bbox\": [135, 17, 198, 36]}, {\"cell\": \"p-value\", \"bbox\": [255, 17, 283, 27]}, {\"cell\": \"Odds ratioEstimate (95% CI)\", \"bbox\": [313, 17, 376, 36]}, {\"cell\": \"p-value\", \"bbox\": [457, 17, 484, 27]}, {\"cell\": \"Restraining factors\", \"bbox\": [1, 39, 59, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Academic problems\", \"bbox\": [15, 51, 82, 61]}, {\"cell\": \"0.47 (0.30 to 0.71)\", \"bbox\": [137, 51, 196, 61]}, {\"cell\": \"< 0.001\", \"bbox\": [257, 51, 283, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 51, 374, 61]}, {\"cell\": \"0.49\", \"bbox\": [470, 51, 484, 61]}, {\"cell\": \" Disturbed work\", \"bbox\": [15, 63, 67, 73]}, {\"cell\": \"0.62 (0.45 to 0.86)\", \"bbox\": [137, 63, 196, 73]}, {\"cell\": \"0.003\", \"bbox\": [264, 63, 283, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 63, 374, 73]}, {\"cell\": \"0.13\", \"bbox\": [470, 63, 484, 73]}, {\"cell\": \" Bothered in class\", \"bbox\": [15, 75, 72, 85]}, {\"cell\": \"0.37 (0.23 to 0.61)\", \"bbox\": [137, 75, 196, 85]}, {\"cell\": \"< 0.001\", \"bbox\": [257, 75, 283, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 75, 374, 85]}, {\"cell\": \"0.02\", \"bbox\": [470, 75, 484, 85]}, {\"cell\": \" Loneliness\", \"bbox\": [15, 87, 50, 97]}, {\"cell\": \"0.47 (0.34 to 0.65)\", \"bbox\": [137, 87, 196, 97]}, {\"cell\": \"< 0.001\", \"bbox\": [257, 87, 283, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 87, 374, 97]}, {\"cell\": \"0.23\", \"bbox\": [470, 87, 484, 97]}, {\"cell\": \" Victimization\", \"bbox\": [15, 99, 58, 109]}, {\"cell\": \"0.45 (0.32 to 0.62)\", \"bbox\": [137, 99, 196, 109]}, {\"cell\": \"< 0.001\", \"bbox\": [257, 99, 283, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 99, 374, 109]}, {\"cell\": \"0.26\", \"bbox\": [470, 99, 484, 109]}, {\"cell\": \"Promoting factors\", \"bbox\": [1, 111, 58, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" School work enjoyment\", \"bbox\": [15, 123, 94, 133]}, {\"cell\": \"1.66 (1.08 to 2.56)\", \"bbox\": [137, 123, 196, 133]}, {\"cell\": \"0.02\", \"bbox\": [268, 123, 283, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 123, 374, 133]}, {\"cell\": \"0.09\", \"bbox\": [470, 123, 484, 133]}, {\"cell\": \" Necessary academic help\", \"bbox\": [15, 135, 98, 145]}, {\"cell\": \"2.18 (1.46 to 3.26)\", \"bbox\": [137, 135, 196, 145]}, {\"cell\": \"< 0.001\", \"bbox\": [257, 135, 283, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 135, 374, 145]}, {\"cell\": \"0.95\", \"bbox\": [470, 135, 484, 145]}, {\"cell\": \" School work satisfaction\", \"bbox\": [15, 147, 95, 156]}, {\"cell\": \"1.42 (0.97 to 2.08)\", \"bbox\": [137, 147, 196, 156]}, {\"cell\": \"0.07\", \"bbox\": [268, 147, 283, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 147, 374, 156]}, {\"cell\": \"0.69\", \"bbox\": [470, 147, 484, 156]}, {\"cell\": \" Friends\", \"bbox\": [15, 159, 40, 168]}, {\"cell\": \"1.18 (0.85 to 1.64)\", \"bbox\": [137, 159, 196, 168]}, {\"cell\": \"0.34\", \"bbox\": [268, 159, 283, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 159, 374, 168]}, {\"cell\": \"0.10\", \"bbox\": [470, 159, 484, 168]}, {\"cell\": \" Supportive peers\", \"bbox\": [15, 171, 72, 180]}, {\"cell\": \"1.44 (1.08 to 1.93)\", \"bbox\": [137, 171, 196, 180]}, {\"cell\": \"0.01\", \"bbox\": [268, 171, 283, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 171, 374, 180]}, {\"cell\": \"0.14\", \"bbox\": [470, 171, 484, 180]}, {\"cell\": \" Supportive teacher\", \"bbox\": [15, 183, 78, 192]}, {\"cell\": \"1.12 (0.83 to 1.50)\", \"bbox\": [137, 183, 196, 192]}, {\"cell\": \"0.45\", \"bbox\": [268, 183, 283, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 183, 374, 192]}, {\"cell\": \"0.99\", \"bbox\": [470, 183, 484, 192]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2941687_004_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Study PeriodCity-Wide bEB (8 h)Mean Ta (24 h)Mean Ta (8 h)Tmax (24 h)Tmin (24 h)
[EMPTY_CELL]rprprprprp
2005[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Total calls0.4320.0830.7330.0010.6920.0020.683[EMPTY_CELL]0.6370.006
Heat-related0.4550.0660.5900.0130.5980.0110.600[EMPTY_CELL]0.4740.054
2006[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Total calls0.5130.0350.3950.1170.3810.1310.359[EMPTY_CELL]0.3020.238
Heat-related0.6160.0090.5570.0200.5670.0180.555[EMPTY_CELL]0.3820.130
2010a[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Total calls0.4010.1240.5920.0160.5260.0360.499[EMPTY_CELL]0.4950.051
Heat-related0.3380.2010.3680.1610.3760.1510.338[EMPTY_CELL]0.1720.525
2010b[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Total calls0.6270.0040.7100.0010.7000.0010.690[EMPTY_CELL]0.5010.029
Heat-related0.2890.2300.5350.0180.4590.0480.459[EMPTY_CELL]0.4380.061
\", \"cells\": [{\"cell\": \"Study Period\", \"bbox\": [11, 5, 61, 15]}, {\"cell\": \"City-Wide bEB (8 h)\", \"bbox\": [75, 5, 150, 15]}, {\"cell\": \"Mean Ta (24 h)\", \"bbox\": [163, 5, 220, 16]}, {\"cell\": \"Mean Ta (8 h)\", \"bbox\": [238, 5, 290, 16]}, {\"cell\": \"Tmax (24 h)\", \"bbox\": [315, 5, 357, 16]}, {\"cell\": \"Tmin (24 h)\", \"bbox\": [374, 4, 423, 16]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"r\", \"bbox\": [89, 21, 94, 29]}, {\"cell\": \"p\", \"bbox\": [131, 21, 137, 29]}, {\"cell\": \"r\", \"bbox\": [171, 21, 176, 29]}, {\"cell\": \"p\", \"bbox\": [206, 21, 213, 29]}, {\"cell\": \"r\", \"bbox\": [243, 21, 248, 29]}, {\"cell\": \"p\", \"bbox\": [279, 21, 285, 29]}, {\"cell\": \"r\", \"bbox\": [316, 21, 321, 29]}, {\"cell\": \"p\", \"bbox\": [351, 21, 358, 29]}, {\"cell\": \"r\", \"bbox\": [385, 21, 390, 29]}, {\"cell\": \"p\", \"bbox\": [414, 21, 420, 29]}, {\"cell\": \"2005\", \"bbox\": [27, 34, 45, 44]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Total calls\", \"bbox\": [17, 44, 54, 54]}, {\"cell\": \"0.432\", \"bbox\": [81, 44, 101, 54]}, {\"cell\": \"0.083\", \"bbox\": [124, 44, 144, 54]}, {\"cell\": \"0.733\", \"bbox\": [163, 44, 184, 54]}, {\"cell\": \"0.001\", \"bbox\": [200, 44, 220, 54]}, {\"cell\": \"0.692\", \"bbox\": [236, 44, 256, 54]}, {\"cell\": \"0.002\", \"bbox\": [272, 44, 292, 54]}, {\"cell\": \"0.683\", \"bbox\": [308, 44, 328, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 44, 364, 54]}, {\"cell\": \"0.637\", \"bbox\": [377, 44, 397, 54]}, {\"cell\": \"0.006\", \"bbox\": [407, 44, 427, 54]}, {\"cell\": \"Heat-related\", \"bbox\": [12, 53, 59, 64]}, {\"cell\": \"0.455\", \"bbox\": [81, 53, 101, 64]}, {\"cell\": \"0.066\", \"bbox\": [124, 53, 144, 64]}, {\"cell\": \"0.590\", \"bbox\": [163, 53, 184, 63]}, {\"cell\": \"0.013\", \"bbox\": [200, 53, 220, 63]}, {\"cell\": \"0.598\", \"bbox\": [236, 53, 256, 63]}, {\"cell\": \"0.011\", \"bbox\": [272, 53, 292, 63]}, {\"cell\": \"0.600\", \"bbox\": [308, 53, 328, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 53, 364, 63]}, {\"cell\": \"0.474\", \"bbox\": [377, 53, 397, 64]}, {\"cell\": \"0.054\", \"bbox\": [407, 53, 427, 64]}, {\"cell\": \"2006\", \"bbox\": [27, 68, 45, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Total calls\", \"bbox\": [17, 78, 54, 88]}, {\"cell\": \"0.513\", \"bbox\": [81, 78, 101, 88]}, {\"cell\": \"0.035\", \"bbox\": [124, 78, 144, 88]}, {\"cell\": \"0.395\", \"bbox\": [163, 78, 184, 88]}, {\"cell\": \"0.117\", \"bbox\": [200, 78, 220, 88]}, {\"cell\": \"0.381\", \"bbox\": [236, 78, 256, 88]}, {\"cell\": \"0.131\", \"bbox\": [272, 78, 292, 88]}, {\"cell\": \"0.359\", \"bbox\": [308, 78, 328, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 78, 364, 88]}, {\"cell\": \"0.302\", \"bbox\": [377, 78, 397, 88]}, {\"cell\": \"0.238\", \"bbox\": [407, 78, 427, 88]}, {\"cell\": \"Heat-related\", \"bbox\": [12, 87, 59, 98]}, {\"cell\": \"0.616\", \"bbox\": [81, 88, 101, 97]}, {\"cell\": \"0.009\", \"bbox\": [124, 88, 144, 97]}, {\"cell\": \"0.557\", \"bbox\": [163, 88, 184, 97]}, {\"cell\": \"0.020\", \"bbox\": [200, 88, 220, 97]}, {\"cell\": \"0.567\", \"bbox\": [236, 88, 256, 97]}, {\"cell\": \"0.018\", \"bbox\": [272, 88, 292, 97]}, {\"cell\": \"0.555\", \"bbox\": [308, 88, 328, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 88, 364, 97]}, {\"cell\": \"0.382\", \"bbox\": [377, 88, 397, 97]}, {\"cell\": \"0.130\", \"bbox\": [407, 88, 427, 97]}, {\"cell\": \"2010a\", \"bbox\": [25, 102, 47, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Total calls\", \"bbox\": [17, 112, 54, 122]}, {\"cell\": \"0.401\", \"bbox\": [81, 112, 101, 122]}, {\"cell\": \"0.124\", \"bbox\": [124, 112, 144, 122]}, {\"cell\": \"0.592\", \"bbox\": [163, 112, 184, 122]}, {\"cell\": \"0.016\", \"bbox\": [200, 112, 220, 122]}, {\"cell\": \"0.526\", \"bbox\": [236, 112, 256, 122]}, {\"cell\": \"0.036\", \"bbox\": [272, 112, 292, 122]}, {\"cell\": \"0.499\", \"bbox\": [308, 112, 328, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 112, 364, 122]}, {\"cell\": \"0.495\", \"bbox\": [377, 112, 397, 122]}, {\"cell\": \"0.051\", \"bbox\": [407, 112, 427, 122]}, {\"cell\": \"Heat-related\", \"bbox\": [12, 122, 59, 132]}, {\"cell\": \"0.338\", \"bbox\": [81, 122, 101, 132]}, {\"cell\": \"0.201\", \"bbox\": [124, 122, 144, 132]}, {\"cell\": \"0.368\", \"bbox\": [163, 122, 184, 132]}, {\"cell\": \"0.161\", \"bbox\": [200, 122, 220, 132]}, {\"cell\": \"0.376\", \"bbox\": [236, 122, 256, 132]}, {\"cell\": \"0.151\", \"bbox\": [272, 122, 292, 132]}, {\"cell\": \"0.338\", \"bbox\": [308, 122, 328, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 122, 364, 132]}, {\"cell\": \"0.172\", \"bbox\": [377, 122, 397, 132]}, {\"cell\": \"0.525\", \"bbox\": [407, 122, 427, 132]}, {\"cell\": \"2010b\", \"bbox\": [24, 136, 47, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Total calls\", \"bbox\": [17, 146, 54, 156]}, {\"cell\": \"0.627\", \"bbox\": [81, 146, 101, 156]}, {\"cell\": \"0.004\", \"bbox\": [124, 146, 144, 156]}, {\"cell\": \"0.710\", \"bbox\": [163, 146, 184, 156]}, {\"cell\": \"0.001\", \"bbox\": [200, 146, 220, 156]}, {\"cell\": \"0.700\", \"bbox\": [236, 146, 256, 156]}, {\"cell\": \"0.001\", \"bbox\": [272, 146, 292, 156]}, {\"cell\": \"0.690\", \"bbox\": [308, 146, 328, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 146, 364, 156]}, {\"cell\": \"0.501\", \"bbox\": [377, 146, 397, 156]}, {\"cell\": \"0.029\", \"bbox\": [407, 146, 427, 156]}, {\"cell\": \"Heat-related\", \"bbox\": [12, 156, 59, 166]}, {\"cell\": \"0.289\", \"bbox\": [81, 156, 101, 166]}, {\"cell\": \"0.230\", \"bbox\": [124, 156, 144, 166]}, {\"cell\": \"0.535\", \"bbox\": [163, 156, 184, 166]}, {\"cell\": \"0.018\", \"bbox\": [200, 156, 220, 166]}, {\"cell\": \"0.459\", \"bbox\": [236, 156, 256, 166]}, {\"cell\": \"0.048\", \"bbox\": [272, 156, 292, 166]}, {\"cell\": \"0.459\", \"bbox\": [308, 156, 328, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 156, 364, 166]}, {\"cell\": \"0.438\", \"bbox\": [377, 156, 397, 166]}, {\"cell\": \"0.061\", \"bbox\": [407, 156, 427, 166]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5551216_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Independent housing(n = 103)Sheltered housing(n = 59)Psychiatric hospital(n = 100)χ2/Pa
Socio-demographics
Age, mean (SD)46.1[EMPTY_CELL]45.7(10.5)43.8(11)0.261
Gender, n (%)
Male53[EMPTY_CELL]40(67.8)69(69)0.021
Female50[EMPTY_CELL]19(32.2)31(30)[EMPTY_CELL]
Ethnicity, n (%)
Western72[EMPTY_CELL]30(50.8)61(61.6)0.055
Non-Western31[EMPTY_CELL]29(49.2)38(38.4)[EMPTY_CELL]
Education, n (%)b
Primary/secondary education72[EMPTY_CELL]50(84.7)82(82)[EMPTY_CELL]
Higher education25[EMPTY_CELL]8(13.6)8(8)0.006
Unknown6[EMPTY_CELL]1(1.7)10(10)[EMPTY_CELL]
Diagnosis, n (%)b
Schizophrenia and other psychotic disorders72[EMPTY_CELL]49(83.1)95(95)[EMPTY_CELL]
Mood disorders/anxiety disorders/axis II disorders21[EMPTY_CELL]3(11.5)2(7.7)0.000
Substance use disorders10[EMPTY_CELL]7(11.7)3(3)[EMPTY_CELL]
Comorbid substance use disorders, n (%)21[EMPTY_CELL]27(45.8)22(22)≤0.001
Medication non-adherence38[EMPTY_CELL]28(51.9)40(44)0.375
Symptoms (BPRS-E), mean (SD)c
Positive symptoms1.6[EMPTY_CELL]1.5(0.6)2.1(1.0)0.000
Negative symptoms1.2[EMPTY_CELL]1.3(0.4)1.7(0.7)0.000
Depression & Anxiety1.8[EMPTY_CELL]1.7(0.6)2.0(0.8)0.067
Disorganisation1.2[EMPTY_CELL]1.3(0.4)1.6(0.6)0.000
BPRS total1.4[EMPTY_CELL]1.4(0.4)1.8(0.5)0.000
Substance use (MATE), mean (SD)c,d
Alcohol5.4[EMPTY_CELL]8.5(12.4)4.7(10)0.362
Cannabis2.3[EMPTY_CELL]6.2(11.3)3.4(8.9)0.007
Hard drugs (cocaine, stimulants, 3,4-methylenedioxy- methamphetamine, opiates)1.7[EMPTY_CELL]5.1(12.1)1.3(7.1)0.001
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Independent housing(n = 103)\", \"bbox\": [184, 5, 256, 23]}, {\"cell\": \"Sheltered housing(n = 59)\", \"bbox\": [283, 5, 343, 23]}, {\"cell\": \"Psychiatric hospital(n = 100)\", \"bbox\": [371, 5, 434, 23]}, {\"cell\": \"χ2/Pa\", \"bbox\": [461, 3, 478, 14]}, {\"cell\": \"Socio-demographics\", \"bbox\": [1, 27, 68, 36]}, {\"cell\": \" Age, mean (SD)\", \"bbox\": [8, 41, 60, 50]}, {\"cell\": \"46.1\", \"bbox\": [184, 41, 199, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 41, 245, 50]}, {\"cell\": \"45.7\", \"bbox\": [283, 41, 298, 50]}, {\"cell\": \"(10.5)\", \"bbox\": [325, 41, 344, 50]}, {\"cell\": \"43.8\", \"bbox\": [371, 41, 386, 50]}, {\"cell\": \"(11)\", \"bbox\": [414, 41, 428, 50]}, {\"cell\": \"0.261\", \"bbox\": [461, 41, 480, 50]}, {\"cell\": \"Gender, n (%)\", \"bbox\": [1, 55, 46, 64]}, {\"cell\": \" Male\", \"bbox\": [9, 69, 26, 78]}, {\"cell\": \"53\", \"bbox\": [184, 69, 194, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 69, 251, 78]}, {\"cell\": \"40\", \"bbox\": [283, 69, 293, 78]}, {\"cell\": \"(67.8)\", \"bbox\": [325, 69, 344, 78]}, {\"cell\": \"69\", \"bbox\": [371, 69, 381, 78]}, {\"cell\": \"(69)\", \"bbox\": [414, 69, 428, 78]}, {\"cell\": \"0.021\", \"bbox\": [461, 69, 479, 77]}, {\"cell\": \" Female\", \"bbox\": [9, 83, 34, 92]}, {\"cell\": \"50\", \"bbox\": [184, 83, 194, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 83, 251, 92]}, {\"cell\": \"19\", \"bbox\": [283, 83, 293, 92]}, {\"cell\": \"(32.2)\", \"bbox\": [325, 83, 344, 92]}, {\"cell\": \"31\", \"bbox\": [371, 83, 381, 92]}, {\"cell\": \"(30)\", \"bbox\": [414, 83, 428, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ethnicity, n (%)\", \"bbox\": [1, 97, 50, 106]}, {\"cell\": \" Western\", \"bbox\": [9, 111, 37, 120]}, {\"cell\": \"72\", \"bbox\": [184, 111, 194, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 111, 251, 120]}, {\"cell\": \"30\", \"bbox\": [283, 111, 293, 120]}, {\"cell\": \"(50.8)\", \"bbox\": [325, 111, 344, 120]}, {\"cell\": \"61\", \"bbox\": [371, 111, 381, 120]}, {\"cell\": \"(61.6)\", \"bbox\": [414, 111, 433, 120]}, {\"cell\": \"0.055\", \"bbox\": [461, 111, 480, 120]}, {\"cell\": \" Non-Western\", \"bbox\": [9, 125, 52, 134]}, {\"cell\": \"31\", \"bbox\": [184, 125, 194, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 125, 251, 134]}, {\"cell\": \"29\", \"bbox\": [283, 125, 293, 134]}, {\"cell\": \"(49.2)\", \"bbox\": [325, 125, 344, 134]}, {\"cell\": \"38\", \"bbox\": [371, 125, 381, 134]}, {\"cell\": \"(38.4)\", \"bbox\": [414, 125, 433, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Education, n (%)b\", \"bbox\": [1, 137, 58, 148]}, {\"cell\": \" Primary/secondary education\", \"bbox\": [8, 153, 104, 162]}, {\"cell\": \"72\", \"bbox\": [184, 153, 194, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 153, 251, 162]}, {\"cell\": \"50\", \"bbox\": [283, 153, 293, 162]}, {\"cell\": \"(84.7)\", \"bbox\": [325, 153, 344, 162]}, {\"cell\": \"82\", \"bbox\": [371, 153, 381, 162]}, {\"cell\": \"(82)\", \"bbox\": [414, 153, 428, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Higher education\", \"bbox\": [8, 167, 66, 176]}, {\"cell\": \"25\", \"bbox\": [184, 167, 194, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 167, 251, 176]}, {\"cell\": \"8\", \"bbox\": [283, 167, 289, 176]}, {\"cell\": \"(13.6)\", \"bbox\": [325, 167, 344, 176]}, {\"cell\": \"8\", \"bbox\": [371, 167, 377, 176]}, {\"cell\": \"(8)\", \"bbox\": [414, 167, 424, 176]}, {\"cell\": \"0.006\", \"bbox\": [461, 167, 479, 175]}, {\"cell\": \" Unknown\", \"bbox\": [8, 181, 41, 190]}, {\"cell\": \"6\", \"bbox\": [184, 181, 190, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 181, 247, 190]}, {\"cell\": \"1\", \"bbox\": [283, 181, 289, 190]}, {\"cell\": \"(1.7)\", \"bbox\": [325, 181, 340, 190]}, {\"cell\": \"10\", \"bbox\": [371, 181, 381, 190]}, {\"cell\": \"(10)\", \"bbox\": [414, 181, 428, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Diagnosis, n (%)b\", \"bbox\": [1, 193, 56, 204]}, {\"cell\": \" Schizophrenia and other psychotic disorders\", \"bbox\": [8, 209, 153, 218]}, {\"cell\": \"72\", \"bbox\": [184, 209, 194, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 209, 251, 218]}, {\"cell\": \"49\", \"bbox\": [283, 209, 293, 218]}, {\"cell\": \"(83.1)\", \"bbox\": [325, 209, 344, 218]}, {\"cell\": \"95\", \"bbox\": [371, 209, 381, 218]}, {\"cell\": \"(95)\", \"bbox\": [414, 209, 428, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Mood disorders/anxiety disorders/axis II disorders\", \"bbox\": [8, 223, 169, 232]}, {\"cell\": \"21\", \"bbox\": [184, 223, 194, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 223, 251, 232]}, {\"cell\": \"3\", \"bbox\": [283, 223, 289, 232]}, {\"cell\": \"(11.5)\", \"bbox\": [325, 223, 344, 232]}, {\"cell\": \"2\", \"bbox\": [371, 223, 377, 232]}, {\"cell\": \"(7.7)\", \"bbox\": [414, 223, 429, 232]}, {\"cell\": \"0.000\", \"bbox\": [461, 223, 479, 231]}, {\"cell\": \" Substance use disorders\", \"bbox\": [8, 237, 88, 246]}, {\"cell\": \"10\", \"bbox\": [184, 237, 194, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 237, 247, 246]}, {\"cell\": \"7\", \"bbox\": [283, 237, 289, 246]}, {\"cell\": \"(11.7)\", \"bbox\": [325, 237, 344, 246]}, {\"cell\": \"3\", \"bbox\": [371, 237, 377, 246]}, {\"cell\": \"(3)\", \"bbox\": [414, 237, 424, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Comorbid substance use disorders, n (%)\", \"bbox\": [1, 251, 133, 260]}, {\"cell\": \"21\", \"bbox\": [184, 251, 194, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 251, 251, 260]}, {\"cell\": \"27\", \"bbox\": [283, 251, 293, 260]}, {\"cell\": \"(45.8)\", \"bbox\": [325, 251, 344, 260]}, {\"cell\": \"22\", \"bbox\": [371, 251, 381, 260]}, {\"cell\": \"(22)\", \"bbox\": [414, 251, 428, 260]}, {\"cell\": \"≤0.001\", \"bbox\": [461, 251, 484, 259]}, {\"cell\": \"Medication non-adherence\", \"bbox\": [1, 265, 89, 274]}, {\"cell\": \"38\", \"bbox\": [184, 265, 194, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 265, 245, 274]}, {\"cell\": \"28\", \"bbox\": [283, 265, 293, 274]}, {\"cell\": \"(51.9)\", \"bbox\": [325, 265, 344, 274]}, {\"cell\": \"40\", \"bbox\": [371, 265, 381, 274]}, {\"cell\": \"(44)\", \"bbox\": [414, 265, 428, 274]}, {\"cell\": \"0.375\", \"bbox\": [461, 265, 480, 274]}, {\"cell\": \"Symptoms (BPRS-E), mean (SD)c\", \"bbox\": [1, 277, 104, 288]}, {\"cell\": \" Positive symptoms\", \"bbox\": [8, 293, 70, 302]}, {\"cell\": \"1.6\", \"bbox\": [184, 293, 195, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 293, 247, 302]}, {\"cell\": \"1.5\", \"bbox\": [283, 293, 294, 302]}, {\"cell\": \"(0.6)\", \"bbox\": [325, 293, 340, 302]}, {\"cell\": \"2.1\", \"bbox\": [371, 293, 382, 302]}, {\"cell\": \"(1.0)\", \"bbox\": [414, 293, 429, 302]}, {\"cell\": \"0.000\", \"bbox\": [461, 293, 479, 301]}, {\"cell\": \" Negative symptoms\", \"bbox\": [8, 307, 74, 316]}, {\"cell\": \"1.2\", \"bbox\": [184, 307, 195, 316]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 307, 247, 316]}, {\"cell\": \"1.3\", \"bbox\": [283, 307, 294, 316]}, {\"cell\": \"(0.4)\", \"bbox\": [325, 307, 340, 316]}, {\"cell\": \"1.7\", \"bbox\": [371, 307, 382, 316]}, {\"cell\": \"(0.7)\", \"bbox\": [414, 307, 429, 316]}, {\"cell\": \"0.000\", \"bbox\": [461, 307, 479, 315]}, {\"cell\": \" Depression & Anxiety\", \"bbox\": [8, 321, 79, 330]}, {\"cell\": \"1.8\", \"bbox\": [184, 321, 195, 330]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 321, 247, 330]}, {\"cell\": \"1.7\", \"bbox\": [283, 321, 294, 330]}, {\"cell\": \"(0.6)\", \"bbox\": [325, 321, 340, 330]}, {\"cell\": \"2.0\", \"bbox\": [371, 321, 382, 330]}, {\"cell\": \"(0.8)\", \"bbox\": [414, 321, 429, 330]}, {\"cell\": \"0.067\", \"bbox\": [461, 321, 480, 330]}, {\"cell\": \" Disorganisation\", \"bbox\": [8, 335, 60, 344]}, {\"cell\": \"1.2\", \"bbox\": [184, 335, 195, 344]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 335, 247, 344]}, {\"cell\": \"1.3\", \"bbox\": [283, 335, 294, 344]}, {\"cell\": \"(0.4)\", \"bbox\": [325, 335, 340, 344]}, {\"cell\": \"1.6\", \"bbox\": [371, 335, 382, 344]}, {\"cell\": \"(0.6)\", \"bbox\": [414, 335, 429, 344]}, {\"cell\": \"0.000\", \"bbox\": [461, 335, 479, 343]}, {\"cell\": \" BPRS total\", \"bbox\": [8, 349, 43, 358]}, {\"cell\": \"1.4\", \"bbox\": [184, 349, 195, 358]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 349, 247, 358]}, {\"cell\": \"1.4\", \"bbox\": [283, 349, 294, 358]}, {\"cell\": \"(0.4)\", \"bbox\": [325, 349, 340, 358]}, {\"cell\": \"1.8\", \"bbox\": [371, 349, 382, 358]}, {\"cell\": \"(0.5)\", \"bbox\": [414, 349, 429, 358]}, {\"cell\": \"0.000\", \"bbox\": [461, 349, 479, 357]}, {\"cell\": \"Substance use (MATE), mean (SD)c,d\", \"bbox\": [1, 361, 116, 372]}, {\"cell\": \" Alcohol\", \"bbox\": [8, 377, 35, 386]}, {\"cell\": \"5.4\", \"bbox\": [184, 377, 195, 386]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 377, 251, 386]}, {\"cell\": \"8.5\", \"bbox\": [283, 377, 294, 386]}, {\"cell\": \"(12.4)\", \"bbox\": [325, 377, 344, 386]}, {\"cell\": \"4.7\", \"bbox\": [371, 377, 382, 386]}, {\"cell\": \"(10)\", \"bbox\": [414, 377, 428, 386]}, {\"cell\": \"0.362\", \"bbox\": [461, 377, 480, 386]}, {\"cell\": \" Cannabis\", \"bbox\": [8, 391, 39, 400]}, {\"cell\": \"2.3\", \"bbox\": [184, 391, 195, 400]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 391, 247, 400]}, {\"cell\": \"6.2\", \"bbox\": [283, 391, 294, 400]}, {\"cell\": \"(11.3)\", \"bbox\": [325, 391, 344, 400]}, {\"cell\": \"3.4\", \"bbox\": [371, 391, 382, 400]}, {\"cell\": \"(8.9)\", \"bbox\": [414, 391, 429, 400]}, {\"cell\": \"0.007\", \"bbox\": [461, 391, 479, 399]}, {\"cell\": \" Hard drugs (cocaine, stimulants, 3,4-methylenedioxy- methamphetamine, opiates)\", \"bbox\": [8, 405, 168, 423]}, {\"cell\": \"1.7\", \"bbox\": [184, 405, 195, 414]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 405, 242, 414]}, {\"cell\": \"5.1\", \"bbox\": [283, 405, 294, 414]}, {\"cell\": \"(12.1)\", \"bbox\": [325, 405, 344, 414]}, {\"cell\": \"1.3\", \"bbox\": [371, 405, 382, 414]}, {\"cell\": \"(7.1)\", \"bbox\": [414, 405, 429, 414]}, {\"cell\": \"0.001\", \"bbox\": [461, 405, 479, 413]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5135762_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Diets
Experiment 1Experiment 2
Items (% in Dry Material)CD-1ABD-1APD-1CD-2ABD-2[EMPTY_CELL]
Dry matter89.3659.9670.6489.3645.18[EMPTY_CELL]
Crude protein16.0116.0216.0216.0116.01[EMPTY_CELL]
Crude Fibre19.6219.1518.6719.6219.22[EMPTY_CELL]
Neutral detergent fibre37.8338.5238.0737.8339.81[EMPTY_CELL]
Acid detergent fibre24.3224.8424.2624.3225.97[EMPTY_CELL]
Acid detergent lignine5.654.324.245.653.30[EMPTY_CELL]
Ash7.247.087.707.247.38[EMPTY_CELL]
Ether extract4.654.855.054.654.89[EMPTY_CELL]
MFU (MFU/kg DM)0.920.940.920.920.95[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Diets\", \"bbox\": [228, 5, 252, 16]}, {\"cell\": \"Experiment 1\", \"bbox\": [149, 21, 205, 31]}, {\"cell\": \"Experiment 2\", \"bbox\": [274, 21, 330, 31]}, {\"cell\": \"Items (% in Dry Material)\", \"bbox\": [7, 36, 110, 48]}, {\"cell\": \"CD-1\", \"bbox\": [124, 36, 147, 48]}, {\"cell\": \"ABD-1\", \"bbox\": [163, 36, 192, 48]}, {\"cell\": \"APD-1\", \"bbox\": [205, 36, 233, 48]}, {\"cell\": \"CD-2\", \"bbox\": [249, 36, 272, 48]}, {\"cell\": \"ABD-2\", \"bbox\": [288, 36, 317, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [329, 36, 358, 48]}, {\"cell\": \"Dry matter\", \"bbox\": [35, 52, 81, 63]}, {\"cell\": \"89.36\", \"bbox\": [125, 52, 147, 63]}, {\"cell\": \"59.96\", \"bbox\": [166, 52, 189, 63]}, {\"cell\": \"70.64\", \"bbox\": [208, 52, 230, 63]}, {\"cell\": \"89.36\", \"bbox\": [249, 52, 272, 63]}, {\"cell\": \"45.18\", \"bbox\": [291, 52, 313, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [333, 52, 355, 63]}, {\"cell\": \"Crude protein\", \"bbox\": [29, 63, 87, 74]}, {\"cell\": \"16.01\", \"bbox\": [125, 63, 147, 74]}, {\"cell\": \"16.02\", \"bbox\": [166, 63, 189, 74]}, {\"cell\": \"16.02\", \"bbox\": [208, 63, 230, 74]}, {\"cell\": \"16.01\", \"bbox\": [249, 63, 272, 74]}, {\"cell\": \"16.01\", \"bbox\": [291, 63, 313, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [333, 63, 355, 74]}, {\"cell\": \"Crude Fibre\", \"bbox\": [34, 74, 83, 85]}, {\"cell\": \"19.62\", \"bbox\": [125, 74, 147, 85]}, {\"cell\": \"19.15\", \"bbox\": [166, 74, 189, 85]}, {\"cell\": \"18.67\", \"bbox\": [208, 74, 230, 85]}, {\"cell\": \"19.62\", \"bbox\": [249, 74, 272, 85]}, {\"cell\": \"19.22\", \"bbox\": [291, 74, 313, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [333, 74, 355, 85]}, {\"cell\": \"Neutral detergent fibre\", \"bbox\": [12, 85, 105, 96]}, {\"cell\": \"37.83\", \"bbox\": [125, 85, 147, 96]}, {\"cell\": \"38.52\", \"bbox\": [166, 85, 189, 96]}, {\"cell\": \"38.07\", \"bbox\": [208, 85, 230, 96]}, {\"cell\": \"37.83\", \"bbox\": [249, 85, 272, 96]}, {\"cell\": \"39.81\", \"bbox\": [291, 85, 313, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [333, 85, 355, 96]}, {\"cell\": \"Acid detergent fibre\", \"bbox\": [18, 96, 99, 107]}, {\"cell\": \"24.32\", \"bbox\": [125, 96, 147, 107]}, {\"cell\": \"24.84\", \"bbox\": [166, 96, 189, 107]}, {\"cell\": \"24.26\", \"bbox\": [208, 96, 230, 107]}, {\"cell\": \"24.32\", \"bbox\": [249, 96, 272, 107]}, {\"cell\": \"25.97\", \"bbox\": [291, 96, 313, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [333, 96, 355, 107]}, {\"cell\": \"Acid detergent lignine\", \"bbox\": [13, 107, 104, 118]}, {\"cell\": \"5.65\", \"bbox\": [127, 107, 145, 118]}, {\"cell\": \"4.32\", \"bbox\": [169, 107, 186, 118]}, {\"cell\": \"4.24\", \"bbox\": [210, 107, 228, 118]}, {\"cell\": \"5.65\", \"bbox\": [252, 107, 269, 118]}, {\"cell\": \"3.30\", \"bbox\": [293, 107, 311, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 107, 353, 118]}, {\"cell\": \"Ash\", \"bbox\": [49, 118, 67, 129]}, {\"cell\": \"7.24\", \"bbox\": [127, 118, 145, 129]}, {\"cell\": \"7.08\", \"bbox\": [169, 118, 186, 129]}, {\"cell\": \"7.70\", \"bbox\": [210, 118, 228, 129]}, {\"cell\": \"7.24\", \"bbox\": [252, 118, 269, 129]}, {\"cell\": \"7.38\", \"bbox\": [293, 118, 311, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 118, 353, 129]}, {\"cell\": \"Ether extract\", \"bbox\": [32, 129, 85, 140]}, {\"cell\": \"4.65\", \"bbox\": [127, 129, 145, 140]}, {\"cell\": \"4.85\", \"bbox\": [169, 129, 186, 140]}, {\"cell\": \"5.05\", \"bbox\": [210, 129, 228, 140]}, {\"cell\": \"4.65\", \"bbox\": [252, 129, 269, 140]}, {\"cell\": \"4.89\", \"bbox\": [293, 129, 311, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 129, 353, 140]}, {\"cell\": \"MFU (MFU/kg DM)\", \"bbox\": [16, 140, 100, 151]}, {\"cell\": \"0.92\", \"bbox\": [127, 140, 145, 151]}, {\"cell\": \"0.94\", \"bbox\": [169, 140, 186, 151]}, {\"cell\": \"0.92\", \"bbox\": [210, 140, 228, 151]}, {\"cell\": \"0.92\", \"bbox\": [252, 140, 269, 151]}, {\"cell\": \"0.95\", \"bbox\": [293, 140, 311, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 140, 353, 151]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5742780_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
IsolatesTE displayqPCR
Anneal at 50°CAnneal at 55°C18S genes28S genesTotal PokeyrDNA PokeyGenome PokeyTif:Gtp
(Total-rDNA)
Diploids with known hybrid status19.09 ± 3.99 [11]13.83 ± 4.22 [6]293.25 ± 111.19 [8]486.25 ± 201.36 [8]17.81 ± 4.35 [8][EMPTY_CELL]12.63 ± 5.04 [8]0.91 ± 0.06 [8]
Polyploids with known hybrid status21.50 ± 3.54 [10]16.33 ± 1.75 [6]214.57 ± 62.34 [7]346.67 ± 113.86 [7]15.57 ± 3.43 [7][EMPTY_CELL]12.48 ± 3.20 [7]0.92 ± 0.07 [7]
Total diploids16.64 ± 4.94 [14]12.71 ± 4.86 [7]292.78 ± 104.02 [9]488.28 ± 188.45 [9]16.67 ± 5.32 [9][EMPTY_CELL]11.61 ± 5.61 [9]0.90 ± 0.06 [9]
Total polyploids19.00 ± 4.36 [13]14.44 ± 3.17 [9]248.03 ± 75.21 [10]398.10 ± 127.42 [10]14.33 ± 3.45 [10][EMPTY_CELL]10.57 ± 4.03 [10]0.92 ± 0.08 [10]
\", \"cells\": [{\"cell\": \"Isolates\", \"bbox\": [22, 4, 50, 13]}, {\"cell\": \"TE display\", \"bbox\": [132, 4, 169, 13]}, {\"cell\": \"qPCR\", \"bbox\": [427, 4, 447, 13]}, {\"cell\": \"Anneal at 50°C\", \"bbox\": [89, 17, 142, 27]}, {\"cell\": \"Anneal at 55°C\", \"bbox\": [159, 17, 212, 27]}, {\"cell\": \"18S genes\", \"bbox\": [241, 17, 278, 27]}, {\"cell\": \"28S genes\", \"bbox\": [320, 17, 358, 27]}, {\"cell\": \"Total Pokey\", \"bbox\": [394, 17, 436, 27]}, {\"cell\": \"rDNA Pokey\", \"bbox\": [461, 17, 505, 27]}, {\"cell\": \"Genome Pokey\", \"bbox\": [525, 17, 579, 27]}, {\"cell\": \"Tif:Gtp\", \"bbox\": [608, 17, 633, 27]}, {\"cell\": \"(Total-rDNA)\", \"bbox\": [529, 26, 574, 36]}, {\"cell\": \"Diploids with known hybrid status\", \"bbox\": [2, 39, 71, 58]}, {\"cell\": \"19.09 ± 3.99 [11]\", \"bbox\": [89, 39, 142, 49]}, {\"cell\": \"13.83 ± 4.22 [6]\", \"bbox\": [161, 39, 211, 49]}, {\"cell\": \"293.25 ± 111.19 [8]\", \"bbox\": [229, 39, 290, 49]}, {\"cell\": \"486.25 ± 201.36 [8]\", \"bbox\": [309, 39, 370, 49]}, {\"cell\": \"17.81 ± 4.35 [8]\", \"bbox\": [390, 39, 440, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [460, 39, 506, 49]}, {\"cell\": \"12.63 ± 5.04 [8]\", \"bbox\": [527, 39, 577, 49]}, {\"cell\": \"0.91 ± 0.06 [8]\", \"bbox\": [597, 39, 643, 49]}, {\"cell\": \"Polyploids with known hybrid status\", \"bbox\": [1, 62, 72, 81]}, {\"cell\": \"21.50 ± 3.54 [10]\", \"bbox\": [89, 62, 142, 72]}, {\"cell\": \"16.33 ± 1.75 [6]\", \"bbox\": [161, 62, 211, 72]}, {\"cell\": \"214.57 ± 62.34 [7]\", \"bbox\": [231, 62, 288, 72]}, {\"cell\": \"346.67 ± 113.86 [7]\", \"bbox\": [309, 62, 370, 72]}, {\"cell\": \"15.57 ± 3.43 [7]\", \"bbox\": [390, 62, 440, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [460, 62, 506, 72]}, {\"cell\": \"12.48 ± 3.20 [7]\", \"bbox\": [527, 62, 577, 72]}, {\"cell\": \"0.92 ± 0.07 [7]\", \"bbox\": [597, 62, 643, 72]}, {\"cell\": \"Total diploids\", \"bbox\": [14, 85, 59, 95]}, {\"cell\": \"16.64 ± 4.94 [14]\", \"bbox\": [89, 85, 142, 95]}, {\"cell\": \"12.71 ± 4.86 [7]\", \"bbox\": [161, 85, 211, 95]}, {\"cell\": \"292.78 ± 104.02 [9]\", \"bbox\": [229, 85, 290, 95]}, {\"cell\": \"488.28 ± 188.45 [9]\", \"bbox\": [309, 85, 370, 95]}, {\"cell\": \"16.67 ± 5.32 [9]\", \"bbox\": [390, 85, 440, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [460, 85, 506, 95]}, {\"cell\": \"11.61 ± 5.61 [9]\", \"bbox\": [527, 85, 577, 95]}, {\"cell\": \"0.90 ± 0.06 [9]\", \"bbox\": [597, 85, 643, 95]}, {\"cell\": \"Total polyploids\", \"bbox\": [10, 99, 63, 109]}, {\"cell\": \"19.00 ± 4.36 [13]\", \"bbox\": [89, 99, 142, 109]}, {\"cell\": \"14.44 ± 3.17 [9]\", \"bbox\": [161, 99, 211, 109]}, {\"cell\": \"248.03 ± 75.21 [10]\", \"bbox\": [229, 99, 290, 109]}, {\"cell\": \"398.10 ± 127.42 [10]\", \"bbox\": [307, 99, 372, 109]}, {\"cell\": \"14.33 ± 3.45 [10]\", \"bbox\": [388, 99, 442, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 99, 508, 109]}, {\"cell\": \"10.57 ± 4.03 [10]\", \"bbox\": [525, 99, 579, 109]}, {\"cell\": \"0.92 ± 0.08 [10]\", \"bbox\": [596, 99, 645, 109]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3882798_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Systematic NametRNA IsotypeStrandRNAseq tRNA BoundsMispredicted tRNA BoundstRNAscan-SE
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]5’3’5’3’[EMPTY_CELL]
tP(UGG)QPro+731802[EMPTY_CELL][EMPTY_CELL]Not Predicted
tW(UCA)QTrp+9,3749,444[EMPTY_CELL][EMPTY_CELL]1
tE(UUC)QGlu+35,37335,444[EMPTY_CELL][EMPTY_CELL]2
tS(UGA)Q2Ser+48,20148,287[EMPTY_CELL][EMPTY_CELL]3
tT(UGU)Q1Thr+63,86263,934[EMPTY_CELL][EMPTY_CELL]4
tC(GCA)QCys+64,41564,487[EMPTY_CELL][EMPTY_CELL]Not Predicted
tH(GUG)QHis+64,59764,66764,596[EMPTY_CELL]5
tL(UAA)QLeu+66,09566,176[EMPTY_CELL][EMPTY_CELL]6
tQ(UUG)QGln+66,21066,282[EMPTY_CELL][EMPTY_CELL]7
tK(UUU)QLys+67,06167,132[EMPTY_CELL][EMPTY_CELL]8
tR(UCU)Q1Arg+67,30967,381[EMPTY_CELL][EMPTY_CELL]9
tG(UCC)QGly+67,46867,539[EMPTY_CELL][EMPTY_CELL]10
tD(GUC)QAsp+68,32268,393[EMPTY_CELL][EMPTY_CELL]11
tS(GCU)Q1Ser+69,20369,285[EMPTY_CELL][EMPTY_CELL]Not Predicted
tR(ACG)Q2Arg+69,28969,359[EMPTY_CELL][EMPTY_CELL]12
tA(UGC)QAla+69,84669,918[EMPTY_CELL][EMPTY_CELL]13
tI(GAU)QIle+70,16270,234[EMPTY_CELL][EMPTY_CELL]14
tY(GUA)QTyr+70,82470,908[EMPTY_CELL][EMPTY_CELL]Not Predicted
tN(GUU)QAsn+71,43371,504[EMPTY_CELL][EMPTY_CELL]15
tM(CAU)Q1Met+72,63272,70572,630[EMPTY_CELL]16
tF(GAA)QPhe+77,43177,502[EMPTY_CELL][EMPTY_CELL]17
tT(UAG)Q2ThrNegative78,16278,091[EMPTY_CELL][EMPTY_CELL]20
tV(UAC)QVal+78,53378,605[EMPTY_CELL][EMPTY_CELL]18
tM(CAU)Q2fMet+85,03585,107[EMPTY_CELL][EMPTY_CELL]19
\", \"cells\": [{\"cell\": \"Systematic Name\", \"bbox\": [0, 15, 56, 27]}, {\"cell\": \"tRNA Isotype\", \"bbox\": [84, 15, 126, 27]}, {\"cell\": \"Strand\", \"bbox\": [147, 15, 169, 27]}, {\"cell\": \"RNAseq tRNA Bounds\", \"bbox\": [196, 14, 267, 26]}, {\"cell\": \"Mispredicted tRNA Bounds\", \"bbox\": [303, 14, 389, 26]}, {\"cell\": \"tRNAscan-SE\", \"bbox\": [433, 15, 476, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"5’\", \"bbox\": [196, 26, 203, 38]}, {\"cell\": \"3’\", \"bbox\": [249, 26, 257, 38]}, {\"cell\": \"5’\", \"bbox\": [303, 26, 310, 38]}, {\"cell\": \"3’\", \"bbox\": [368, 26, 375, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"tP(UGG)Q\", \"bbox\": [1, 38, 33, 49]}, {\"cell\": \"Pro\", \"bbox\": [84, 38, 96, 49]}, {\"cell\": \"+\", \"bbox\": [147, 38, 152, 49]}, {\"cell\": \"731\", \"bbox\": [196, 38, 208, 49]}, {\"cell\": \"802\", \"bbox\": [249, 38, 262, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Not Predicted\", \"bbox\": [433, 38, 474, 49]}, {\"cell\": \"tW(UCA)Q\", \"bbox\": [1, 49, 34, 60]}, {\"cell\": \"Trp\", \"bbox\": [84, 49, 95, 60]}, {\"cell\": \"+\", \"bbox\": [147, 49, 152, 60]}, {\"cell\": \"9,374\", \"bbox\": [196, 49, 214, 60]}, {\"cell\": \"9,444\", \"bbox\": [249, 49, 267, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [368, 49, 386, 60]}, {\"cell\": \"1\", \"bbox\": [433, 49, 438, 60]}, {\"cell\": \"tE(UUC)Q\", \"bbox\": [1, 60, 32, 71]}, {\"cell\": \"Glu\", \"bbox\": [84, 60, 96, 71]}, {\"cell\": \"+\", \"bbox\": [147, 60, 152, 71]}, {\"cell\": \"35,373\", \"bbox\": [196, 60, 217, 71]}, {\"cell\": \"35,444\", \"bbox\": [249, 60, 271, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [368, 60, 389, 71]}, {\"cell\": \"2\", \"bbox\": [433, 60, 438, 71]}, {\"cell\": \"tS(UGA)Q2\", \"bbox\": [1, 71, 36, 82]}, {\"cell\": \"Ser\", \"bbox\": [84, 71, 96, 82]}, {\"cell\": \"+\", \"bbox\": [147, 71, 152, 82]}, {\"cell\": \"48,201\", \"bbox\": [196, 71, 217, 82]}, {\"cell\": \"48,287\", \"bbox\": [249, 71, 271, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [368, 71, 389, 82]}, {\"cell\": \"3\", \"bbox\": [433, 71, 438, 82]}, {\"cell\": \"tT(UGU)Q1\", \"bbox\": [1, 82, 36, 93]}, {\"cell\": \"Thr\", \"bbox\": [84, 82, 95, 93]}, {\"cell\": \"+\", \"bbox\": [147, 82, 152, 93]}, {\"cell\": \"63,862\", \"bbox\": [196, 82, 217, 93]}, {\"cell\": \"63,934\", \"bbox\": [249, 82, 271, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [368, 82, 389, 93]}, {\"cell\": \"4\", \"bbox\": [433, 82, 438, 93]}, {\"cell\": \"tC(GCA)Q\", \"bbox\": [1, 93, 32, 104]}, {\"cell\": \"Cys\", \"bbox\": [84, 93, 97, 104]}, {\"cell\": \"+\", \"bbox\": [147, 93, 152, 104]}, {\"cell\": \"64,415\", \"bbox\": [196, 93, 217, 104]}, {\"cell\": \"64,487\", \"bbox\": [249, 93, 271, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [368, 93, 389, 104]}, {\"cell\": \"Not Predicted\", \"bbox\": [433, 93, 474, 104]}, {\"cell\": \"tH(GUG)Q\", \"bbox\": [1, 104, 33, 115]}, {\"cell\": \"His\", \"bbox\": [84, 104, 95, 115]}, {\"cell\": \"+\", \"bbox\": [147, 104, 152, 115]}, {\"cell\": \"64,597\", \"bbox\": [196, 104, 217, 115]}, {\"cell\": \"64,667\", \"bbox\": [249, 104, 271, 115]}, {\"cell\": \"64,596\", \"bbox\": [303, 104, 325, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [368, 104, 389, 115]}, {\"cell\": \"5\", \"bbox\": [433, 104, 438, 115]}, {\"cell\": \"tL(UAA)Q\", \"bbox\": [1, 115, 31, 126]}, {\"cell\": \"Leu\", \"bbox\": [84, 115, 96, 126]}, {\"cell\": \"+\", \"bbox\": [147, 115, 152, 126]}, {\"cell\": \"66,095\", \"bbox\": [196, 115, 217, 126]}, {\"cell\": \"66,176\", \"bbox\": [249, 115, 271, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [368, 115, 389, 126]}, {\"cell\": \"6\", \"bbox\": [433, 115, 438, 126]}, {\"cell\": \"tQ(UUG)Q\", \"bbox\": [1, 126, 33, 137]}, {\"cell\": \"Gln\", \"bbox\": [84, 126, 96, 137]}, {\"cell\": \"+\", \"bbox\": [147, 126, 152, 137]}, {\"cell\": \"66,210\", \"bbox\": [196, 126, 217, 137]}, {\"cell\": \"66,282\", \"bbox\": [249, 126, 271, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [368, 126, 389, 137]}, {\"cell\": \"7\", \"bbox\": [433, 126, 438, 137]}, {\"cell\": \"tK(UUU)Q\", \"bbox\": [1, 137, 32, 148]}, {\"cell\": \"Lys\", \"bbox\": [84, 137, 96, 148]}, {\"cell\": \"+\", \"bbox\": [147, 137, 152, 148]}, {\"cell\": \"67,061\", \"bbox\": [196, 137, 217, 148]}, {\"cell\": \"67,132\", \"bbox\": [249, 137, 271, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [368, 137, 389, 148]}, {\"cell\": \"8\", \"bbox\": [433, 137, 438, 148]}, {\"cell\": \"tR(UCU)Q1\", \"bbox\": [1, 148, 36, 159]}, {\"cell\": \"Arg\", \"bbox\": [84, 148, 96, 159]}, {\"cell\": \"+\", \"bbox\": [147, 148, 152, 159]}, {\"cell\": \"67,309\", \"bbox\": [196, 148, 217, 159]}, {\"cell\": \"67,381\", \"bbox\": [249, 148, 271, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"9\", \"bbox\": [433, 148, 438, 159]}, {\"cell\": \"tG(UCC)Q\", \"bbox\": [1, 159, 33, 170]}, {\"cell\": \"Gly\", \"bbox\": [84, 159, 95, 170]}, {\"cell\": \"+\", \"bbox\": [147, 159, 152, 170]}, {\"cell\": \"67,468\", \"bbox\": [196, 159, 217, 170]}, {\"cell\": \"67,539\", \"bbox\": [249, 159, 271, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [368, 159, 389, 170]}, {\"cell\": \"10\", \"bbox\": [433, 159, 442, 170]}, {\"cell\": \"tD(GUC)Q\", \"bbox\": [1, 170, 33, 181]}, {\"cell\": \"Asp\", \"bbox\": [84, 170, 97, 181]}, {\"cell\": \"+\", \"bbox\": [147, 170, 152, 181]}, {\"cell\": \"68,322\", \"bbox\": [196, 170, 217, 181]}, {\"cell\": \"68,393\", \"bbox\": [249, 170, 271, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [368, 170, 389, 181]}, {\"cell\": \"11\", \"bbox\": [433, 170, 442, 181]}, {\"cell\": \"tS(GCU)Q1\", \"bbox\": [1, 181, 36, 192]}, {\"cell\": \"Ser\", \"bbox\": [84, 181, 96, 192]}, {\"cell\": \"+\", \"bbox\": [147, 181, 152, 192]}, {\"cell\": \"69,203\", \"bbox\": [196, 181, 217, 192]}, {\"cell\": \"69,285\", \"bbox\": [249, 181, 271, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [368, 181, 389, 192]}, {\"cell\": \"Not Predicted\", \"bbox\": [433, 181, 474, 192]}, {\"cell\": \"tR(ACG)Q2\", \"bbox\": [1, 192, 36, 203]}, {\"cell\": \"Arg\", \"bbox\": [84, 192, 96, 203]}, {\"cell\": \"+\", \"bbox\": [147, 192, 152, 203]}, {\"cell\": \"69,289\", \"bbox\": [196, 192, 217, 203]}, {\"cell\": \"69,359\", \"bbox\": [249, 192, 271, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [368, 192, 389, 203]}, {\"cell\": \"12\", \"bbox\": [433, 192, 442, 203]}, {\"cell\": \"tA(UGC)Q\", \"bbox\": [1, 203, 32, 214]}, {\"cell\": \"Ala\", \"bbox\": [84, 203, 95, 214]}, {\"cell\": \"+\", \"bbox\": [147, 203, 152, 214]}, {\"cell\": \"69,846\", \"bbox\": [196, 203, 217, 214]}, {\"cell\": \"69,918\", \"bbox\": [249, 203, 271, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [368, 203, 389, 214]}, {\"cell\": \"13\", \"bbox\": [433, 203, 442, 214]}, {\"cell\": \"tI(GAU)Q\", \"bbox\": [1, 214, 30, 225]}, {\"cell\": \"Ile\", \"bbox\": [84, 214, 93, 225]}, {\"cell\": \"+\", \"bbox\": [147, 214, 152, 225]}, {\"cell\": \"70,162\", \"bbox\": [196, 214, 217, 225]}, {\"cell\": \"70,234\", \"bbox\": [249, 214, 271, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [368, 214, 389, 225]}, {\"cell\": \"14\", \"bbox\": [433, 214, 442, 225]}, {\"cell\": \"tY(GUA)Q\", \"bbox\": [1, 225, 32, 236]}, {\"cell\": \"Tyr\", \"bbox\": [84, 225, 95, 236]}, {\"cell\": \"+\", \"bbox\": [147, 225, 152, 236]}, {\"cell\": \"70,824\", \"bbox\": [196, 225, 217, 236]}, {\"cell\": \"70,908\", \"bbox\": [249, 225, 271, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [368, 225, 389, 236]}, {\"cell\": \"Not Predicted\", \"bbox\": [433, 225, 474, 236]}, {\"cell\": \"tN(GUU)Q\", \"bbox\": [1, 236, 33, 247]}, {\"cell\": \"Asn\", \"bbox\": [84, 236, 97, 247]}, {\"cell\": \"+\", \"bbox\": [147, 236, 152, 247]}, {\"cell\": \"71,433\", \"bbox\": [196, 236, 217, 247]}, {\"cell\": \"71,504\", \"bbox\": [249, 236, 271, 247]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [368, 236, 389, 247]}, {\"cell\": \"15\", \"bbox\": [433, 236, 442, 247]}, {\"cell\": \"tM(CAU)Q1\", \"bbox\": [1, 247, 36, 258]}, {\"cell\": \"Met\", \"bbox\": [84, 247, 96, 258]}, {\"cell\": \"+\", \"bbox\": [147, 247, 152, 258]}, {\"cell\": \"72,632\", \"bbox\": [196, 247, 217, 258]}, {\"cell\": \"72,705\", \"bbox\": [249, 247, 271, 258]}, {\"cell\": \"72,630\", \"bbox\": [303, 247, 325, 258]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"16\", \"bbox\": [433, 247, 442, 258]}, {\"cell\": \"tF(GAA)Q\", \"bbox\": [1, 258, 31, 269]}, {\"cell\": \"Phe\", \"bbox\": [84, 258, 97, 269]}, {\"cell\": \"+\", \"bbox\": [147, 258, 152, 269]}, {\"cell\": \"77,431\", \"bbox\": [196, 258, 217, 269]}, {\"cell\": \"77,502\", \"bbox\": [249, 258, 271, 269]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [368, 258, 389, 269]}, {\"cell\": \"17\", \"bbox\": [433, 258, 442, 269]}, {\"cell\": \"tT(UAG)Q2\", \"bbox\": [1, 269, 35, 280]}, {\"cell\": \"Thr\", \"bbox\": [84, 269, 95, 280]}, {\"cell\": \"Negative\", \"bbox\": [147, 269, 174, 280]}, {\"cell\": \"78,162\", \"bbox\": [196, 269, 217, 280]}, {\"cell\": \"78,091\", \"bbox\": [249, 269, 271, 280]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [368, 269, 389, 280]}, {\"cell\": \"20\", \"bbox\": [433, 269, 442, 280]}, {\"cell\": \"tV(UAC)Q\", \"bbox\": [1, 280, 32, 291]}, {\"cell\": \"Val\", \"bbox\": [84, 280, 95, 291]}, {\"cell\": \"+\", \"bbox\": [147, 280, 152, 291]}, {\"cell\": \"78,533\", \"bbox\": [196, 280, 217, 291]}, {\"cell\": \"78,605\", \"bbox\": [249, 280, 271, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [368, 280, 389, 291]}, {\"cell\": \"18\", \"bbox\": [433, 280, 442, 291]}, {\"cell\": \"tM(CAU)Q2\", \"bbox\": [1, 291, 36, 302]}, {\"cell\": \"fMet\", \"bbox\": [84, 291, 98, 302]}, {\"cell\": \"+\", \"bbox\": [147, 291, 152, 302]}, {\"cell\": \"85,035\", \"bbox\": [196, 291, 217, 302]}, {\"cell\": \"85,107\", \"bbox\": [249, 291, 271, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [368, 291, 389, 302]}, {\"cell\": \"19\", \"bbox\": [433, 291, 442, 302]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3797045_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]Number of CXRs with discrepant scores
[EMPTY_CELL]Weighted KappaStrength ofn = 250
Clinician-clinician combination(95 % CI)agreementan (%)
Agreement after independent review
Pediatrician vs. internal medicine physician0.85 (0.73 to 0.98)[EMPTY_CELL]39 (16)
Pediatrician vs. internal medicine resident0.76 (0.63 to 0.88)[EMPTY_CELL]48 (19)
Pediatrician vs. pediatric resident0.81 (0.68 to 0.95)[EMPTY_CELL]51 (20)
Pediatrician vs. medical student 10.66 (0.53 to 0.78)[EMPTY_CELL]67 (27)
Pediatrician vs. medical student 20.63 (0.50 to 0.76)[EMPTY_CELL]70 (28)
Pediatrician vs. research nurse0.75 (0.62 to 0.88)[EMPTY_CELL]56 (22)
Agreement after combined review of CXRs with discrepant scores
Pediatrician vs. internal medicine physician0.98 (0.90 to 1.06)[EMPTY_CELL]3 (1)
Pediatrician vs. internal medicine resident0.99 (0.87 to 1.12)[EMPTY_CELL]4 (2)
Pediatrician vs. pediatric resident0.97 (0.84 to 1.09)[EMPTY_CELL]5 (2)
Pediatrician vs. medical student 10.99 (0.86 to 1.11)[EMPTY_CELL]3 (1)
Pediatrician vs. medical student 20.98 (0.85 to 1.10)[EMPTY_CELL]3 (1)
Pediatrician vs. research nurse0.99 (0.86 to 1.11)[EMPTY_CELL]6 (2)
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Number of CXRs with discrepant scores\", \"bbox\": [413, 4, 484, 22]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Weighted Kappa\", \"bbox\": [198, 26, 253, 36]}, {\"cell\": \"Strength of\", \"bbox\": [315, 26, 353, 36]}, {\"cell\": \"n = 250\", \"bbox\": [413, 26, 440, 36]}, {\"cell\": \"Clinician-clinician combination\", \"bbox\": [1, 39, 100, 49]}, {\"cell\": \"(95 % CI)\", \"bbox\": [198, 39, 229, 49]}, {\"cell\": \"agreementa\", \"bbox\": [315, 38, 354, 49]}, {\"cell\": \"n (%)\", \"bbox\": [413, 39, 431, 49]}, {\"cell\": \"Agreement after independent review\", \"bbox\": [1, 52, 122, 62]}, {\"cell\": \"Pediatrician vs. internal medicine physician\", \"bbox\": [1, 66, 140, 76]}, {\"cell\": \"0.85 (0.73 to 0.98)\", \"bbox\": [198, 66, 257, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 66, 353, 76]}, {\"cell\": \"39 (16)\", \"bbox\": [413, 66, 437, 76]}, {\"cell\": \"Pediatrician vs. internal medicine resident\", \"bbox\": [1, 80, 136, 90]}, {\"cell\": \"0.76 (0.63 to 0.88)\", \"bbox\": [198, 80, 257, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 80, 337, 90]}, {\"cell\": \"48 (19)\", \"bbox\": [413, 80, 437, 90]}, {\"cell\": \"Pediatrician vs. pediatric resident\", \"bbox\": [1, 94, 107, 104]}, {\"cell\": \"0.81 (0.68 to 0.95)\", \"bbox\": [198, 94, 257, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 94, 353, 104]}, {\"cell\": \"51 (20)\", \"bbox\": [413, 94, 437, 104]}, {\"cell\": \"Pediatrician vs. medical student 1\", \"bbox\": [1, 108, 110, 118]}, {\"cell\": \"0.66 (0.53 to 0.78)\", \"bbox\": [198, 108, 257, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 108, 337, 118]}, {\"cell\": \"67 (27)\", \"bbox\": [413, 108, 437, 118]}, {\"cell\": \"Pediatrician vs. medical student 2\", \"bbox\": [1, 122, 110, 132]}, {\"cell\": \"0.63 (0.50 to 0.76)\", \"bbox\": [198, 122, 257, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 122, 337, 132]}, {\"cell\": \"70 (28)\", \"bbox\": [413, 122, 437, 132]}, {\"cell\": \"Pediatrician vs. research nurse\", \"bbox\": [1, 136, 98, 146]}, {\"cell\": \"0.75 (0.62 to 0.88)\", \"bbox\": [198, 136, 257, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 136, 337, 146]}, {\"cell\": \"56 (22)\", \"bbox\": [413, 136, 437, 146]}, {\"cell\": \"Agreement after combined review of CXRs with discrepant scores\", \"bbox\": [0, 150, 214, 160]}, {\"cell\": \"Pediatrician vs. internal medicine physician\", \"bbox\": [0, 164, 140, 174]}, {\"cell\": \"0.98 (0.90 to 1.06)\", \"bbox\": [198, 164, 257, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 164, 353, 174]}, {\"cell\": \"3 (1)\", \"bbox\": [413, 164, 429, 174]}, {\"cell\": \"Pediatrician vs. internal medicine resident\", \"bbox\": [1, 178, 136, 188]}, {\"cell\": \"0.99 (0.87 to 1.12)\", \"bbox\": [198, 178, 257, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 178, 353, 188]}, {\"cell\": \"4 (2)\", \"bbox\": [413, 178, 429, 188]}, {\"cell\": \"Pediatrician vs. pediatric resident\", \"bbox\": [1, 192, 107, 202]}, {\"cell\": \"0.97 (0.84 to 1.09)\", \"bbox\": [198, 192, 257, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 192, 353, 202]}, {\"cell\": \"5 (2)\", \"bbox\": [413, 192, 429, 202]}, {\"cell\": \"Pediatrician vs. medical student 1\", \"bbox\": [1, 206, 110, 216]}, {\"cell\": \"0.99 (0.86 to 1.11)\", \"bbox\": [198, 206, 257, 216]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 206, 353, 216]}, {\"cell\": \"3 (1)\", \"bbox\": [413, 206, 429, 216]}, {\"cell\": \"Pediatrician vs. medical student 2\", \"bbox\": [1, 220, 110, 230]}, {\"cell\": \"0.98 (0.85 to 1.10)\", \"bbox\": [198, 220, 257, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 220, 353, 230]}, {\"cell\": \"3 (1)\", \"bbox\": [413, 220, 429, 230]}, {\"cell\": \"Pediatrician vs. research nurse\", \"bbox\": [1, 234, 98, 244]}, {\"cell\": \"0.99 (0.86 to 1.11)\", \"bbox\": [198, 234, 257, 244]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 234, 353, 244]}, {\"cell\": \"6 (2)\", \"bbox\": [413, 234, 429, 244]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4696329_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
All systematic reviews of therapeutic interventions: any flow diagram
[EMPTY_CELL]N reviews[EMPTY_CELL]Citation to study relationship (% of all diagrams)Citation to study relationship: % of all reviews
200118[EMPTY_CELL]2 (28.6)11.1
200222[EMPTY_CELL]5 (62.5)22.7
200315[EMPTY_CELL]3 (37.5)20.0
200419[EMPTY_CELL]6 (46.2)31.6
200513[EMPTY_CELL]4 (57.1)30.8
2001–0587[EMPTY_CELL]20 (46.5)23.0
Systematic reviews containing a meta-analysis: any flow diagram
[EMPTY_CELL]N reviews[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
20017[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
200210[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
20035[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
20049[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
20057[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
2001–0538[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
\", \"cells\": [{\"cell\": \"All systematic reviews of therapeutic interventions: any flow diagram\", \"bbox\": [4, 5, 273, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"N reviews\", \"bbox\": [44, 27, 85, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 27, 169, 36]}, {\"cell\": \"Citation to study relationship (% of all diagrams)\", \"bbox\": [176, 27, 290, 46]}, {\"cell\": \"Citation to study relationship: % of all reviews\", \"bbox\": [308, 27, 486, 36]}, {\"cell\": \"2001\", \"bbox\": [4, 58, 23, 68]}, {\"cell\": \"18\", \"bbox\": [44, 58, 55, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 58, 119, 68]}, {\"cell\": \"2 (28.6)\", \"bbox\": [176, 58, 203, 68]}, {\"cell\": \"11.1\", \"bbox\": [308, 58, 324, 68]}, {\"cell\": \"2002\", \"bbox\": [4, 69, 23, 78]}, {\"cell\": \"22\", \"bbox\": [44, 69, 55, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 69, 119, 78]}, {\"cell\": \"5 (62.5)\", \"bbox\": [176, 69, 203, 78]}, {\"cell\": \"22.7\", \"bbox\": [308, 69, 324, 78]}, {\"cell\": \"2003\", \"bbox\": [4, 79, 23, 88]}, {\"cell\": \"15\", \"bbox\": [44, 79, 55, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 79, 119, 88]}, {\"cell\": \"3 (37.5)\", \"bbox\": [176, 79, 203, 88]}, {\"cell\": \"20.0\", \"bbox\": [308, 79, 324, 88]}, {\"cell\": \"2004\", \"bbox\": [4, 89, 23, 99]}, {\"cell\": \"19\", \"bbox\": [44, 89, 55, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 89, 123, 99]}, {\"cell\": \"6 (46.2)\", \"bbox\": [176, 89, 203, 99]}, {\"cell\": \"31.6\", \"bbox\": [308, 89, 324, 99]}, {\"cell\": \"2005\", \"bbox\": [4, 99, 23, 109]}, {\"cell\": \"13\", \"bbox\": [44, 99, 55, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 99, 119, 109]}, {\"cell\": \"4 (57.1)\", \"bbox\": [176, 99, 203, 109]}, {\"cell\": \"30.8\", \"bbox\": [308, 99, 324, 109]}, {\"cell\": \"2001–05\", \"bbox\": [4, 110, 38, 119]}, {\"cell\": \"87\", \"bbox\": [44, 110, 56, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 110, 127, 119]}, {\"cell\": \"20 (46.5)\", \"bbox\": [175, 110, 211, 119]}, {\"cell\": \"23.0\", \"bbox\": [308, 110, 326, 119]}, {\"cell\": \"Systematic reviews containing a meta-analysis: any flow diagram\", \"bbox\": [4, 132, 254, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"N reviews\", \"bbox\": [44, 154, 85, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 154, 169, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2001\", \"bbox\": [4, 176, 23, 186]}, {\"cell\": \"7\", \"bbox\": [44, 176, 51, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 176, 119, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2002\", \"bbox\": [4, 186, 23, 196]}, {\"cell\": \"10\", \"bbox\": [44, 186, 55, 196]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 186, 113, 196]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2003\", \"bbox\": [4, 197, 23, 206]}, {\"cell\": \"5\", \"bbox\": [44, 197, 51, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 197, 113, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2004\", \"bbox\": [4, 207, 23, 217]}, {\"cell\": \"9\", \"bbox\": [44, 207, 51, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 207, 119, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2005\", \"bbox\": [4, 217, 23, 227]}, {\"cell\": \"7\", \"bbox\": [44, 217, 51, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 217, 119, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2001–05\", \"bbox\": [4, 228, 38, 237]}, {\"cell\": \"38\", \"bbox\": [44, 228, 56, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 228, 127, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2211304_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
CharacteristicsDistrictsTotalChi squareP value
Asante-Akim NorthAsante-Akim SouthShamaKpone Katamanso DistrictWest Gonja
Total number of LCS per districtN = 36 (%)[EMPTY_CELL]N = 36 (%)N = 34 (%)N = 9 (%)149[EMPTY_CELL][EMPTY_CELL]
LCS distance to the health facility (proximity)
Up to 100 m8 (22.2)[EMPTY_CELL]2 (5.6)8 (23.5)3 (33.3)32 (21.5)8.6430.071
More than 100 m28 (77.8)[EMPTY_CELL]34 (94.4)26 (76.5)6 (66.7)117 (78.5)
Pricing of ACTsN = 20[EMPTY_CELL]†N = 20N = 27[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Affordable (GHC 1.5 or less)a16 (80.0)[EMPTY_CELL]†14 (70.0)17 (63.0)58 (66.7)3.0920.378
Not affordable (more than GHC 1.5)4 (20.0)[EMPTY_CELL]†6 (30.0)10 (37.0)29 (33.3)
Availability of AMFm ACTsN = 20 (%)[EMPTY_CELL]N = 22 (%)N = 20 (%)N = 8 (%)91[EMPTY_CELL][EMPTY_CELL]
ACTs with green leaf logo5 (25.0)[EMPTY_CELL]6 (27.3)4 (20.0)0 (0.0)20 (22.0)2.8060.591
Others15 (75.0)[EMPTY_CELL]16 (72.7)16 (80.0)8 (100)71 (78.0)
\", \"cells\": [{\"cell\": \"Characteristics\", \"bbox\": [1, 4, 53, 14]}, {\"cell\": \"Districts\", \"bbox\": [99, 4, 129, 14]}, {\"cell\": \"Total\", \"bbox\": [374, 4, 393, 14]}, {\"cell\": \"Chi square\", \"bbox\": [412, 4, 451, 14]}, {\"cell\": \"P value\", \"bbox\": [456, 4, 483, 14]}, {\"cell\": \"Asante-Akim North\", \"bbox\": [99, 20, 146, 39]}, {\"cell\": \"Asante-Akim South\", \"bbox\": [155, 20, 201, 39]}, {\"cell\": \"Shama\", \"bbox\": [210, 20, 236, 30]}, {\"cell\": \"Kpone Katamanso District\", \"bbox\": [253, 20, 318, 39]}, {\"cell\": \"West Gonja\", \"bbox\": [327, 20, 368, 30]}, {\"cell\": \"Total number of LCS per district\", \"bbox\": [1, 47, 79, 66]}, {\"cell\": \"N = 36 (%)\", \"bbox\": [99, 47, 136, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 47, 191, 57]}, {\"cell\": \"N = 36 (%)\", \"bbox\": [210, 47, 247, 57]}, {\"cell\": \"N = 34 (%)\", \"bbox\": [253, 47, 289, 57]}, {\"cell\": \"N = 9 (%)\", \"bbox\": [327, 47, 359, 57]}, {\"cell\": \"149\", \"bbox\": [374, 47, 387, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"LCS distance to the health facility (proximity)\", \"bbox\": [1, 68, 144, 78]}, {\"cell\": \" Up to 100 m\", \"bbox\": [5, 80, 47, 90]}, {\"cell\": \"8 (22.2)\", \"bbox\": [99, 80, 124, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 80, 184, 90]}, {\"cell\": \"2 (5.6)\", \"bbox\": [210, 80, 231, 90]}, {\"cell\": \"8 (23.5)\", \"bbox\": [253, 80, 278, 90]}, {\"cell\": \"3 (33.3)\", \"bbox\": [327, 80, 352, 90]}, {\"cell\": \"32 (21.5)\", \"bbox\": [374, 80, 403, 90]}, {\"cell\": \"8.643\", \"bbox\": [412, 80, 431, 90]}, {\"cell\": \"0.071\", \"bbox\": [456, 80, 475, 90]}, {\"cell\": \" More than 100 m\", \"bbox\": [5, 92, 62, 102]}, {\"cell\": \"28 (77.8)\", \"bbox\": [99, 92, 128, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 92, 184, 102]}, {\"cell\": \"34 (94.4)\", \"bbox\": [210, 92, 239, 102]}, {\"cell\": \"26 (76.5)\", \"bbox\": [253, 92, 282, 102]}, {\"cell\": \"6 (66.7)\", \"bbox\": [327, 92, 352, 102]}, {\"cell\": \"117 (78.5)\", \"bbox\": [374, 92, 407, 102]}, {\"cell\": \"Pricing of ACTs\", \"bbox\": [1, 105, 50, 114]}, {\"cell\": \"N = 20\", \"bbox\": [99, 105, 124, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 105, 179, 114]}, {\"cell\": \"†\", \"bbox\": [210, 103, 215, 110]}, {\"cell\": \"N = 20\", \"bbox\": [253, 105, 277, 114]}, {\"cell\": \"N = 27\", \"bbox\": [327, 105, 351, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Affordable (GHC 1.5 or less)a\", \"bbox\": [5, 115, 96, 126]}, {\"cell\": \"16 (80.0)\", \"bbox\": [99, 117, 128, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 117, 184, 126]}, {\"cell\": \"†\", \"bbox\": [210, 115, 215, 122]}, {\"cell\": \"14 (70.0)\", \"bbox\": [253, 117, 282, 126]}, {\"cell\": \"17 (63.0)\", \"bbox\": [327, 117, 356, 126]}, {\"cell\": \"58 (66.7)\", \"bbox\": [374, 117, 403, 126]}, {\"cell\": \"3.092\", \"bbox\": [412, 117, 431, 126]}, {\"cell\": \"0.378\", \"bbox\": [456, 117, 475, 126]}, {\"cell\": \" Not affordable (more than GHC 1.5)\", \"bbox\": [5, 129, 78, 147]}, {\"cell\": \"4 (20.0)\", \"bbox\": [99, 129, 124, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 129, 180, 138]}, {\"cell\": \"†\", \"bbox\": [210, 127, 215, 135]}, {\"cell\": \"6 (30.0)\", \"bbox\": [253, 129, 278, 138]}, {\"cell\": \"10 (37.0)\", \"bbox\": [327, 129, 356, 138]}, {\"cell\": \"29 (33.3)\", \"bbox\": [374, 129, 403, 138]}, {\"cell\": \"Availability of AMFm ACTs\", \"bbox\": [1, 150, 85, 159]}, {\"cell\": \"N = 20 (%)\", \"bbox\": [99, 150, 136, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 150, 191, 159]}, {\"cell\": \"N = 22 (%)\", \"bbox\": [210, 150, 247, 159]}, {\"cell\": \"N = 20 (%)\", \"bbox\": [253, 150, 289, 159]}, {\"cell\": \"N = 8 (%)\", \"bbox\": [327, 150, 359, 159]}, {\"cell\": \"91\", \"bbox\": [374, 150, 384, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" ACTs with green leaf logo\", \"bbox\": [5, 162, 89, 171]}, {\"cell\": \"5 (25.0)\", \"bbox\": [99, 162, 124, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 162, 180, 171]}, {\"cell\": \"6 (27.3)\", \"bbox\": [210, 162, 235, 171]}, {\"cell\": \"4 (20.0)\", \"bbox\": [253, 162, 278, 171]}, {\"cell\": \"0 (0.0)\", \"bbox\": [327, 162, 348, 171]}, {\"cell\": \"20 (22.0)\", \"bbox\": [374, 162, 403, 171]}, {\"cell\": \"2.806\", \"bbox\": [412, 162, 431, 172]}, {\"cell\": \"0.591\", \"bbox\": [456, 162, 475, 172]}, {\"cell\": \" Others\", \"bbox\": [5, 174, 29, 184]}, {\"cell\": \"15 (75.0)\", \"bbox\": [99, 174, 128, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 174, 184, 184]}, {\"cell\": \"16 (72.7)\", \"bbox\": [210, 174, 239, 184]}, {\"cell\": \"16 (80.0)\", \"bbox\": [253, 174, 282, 184]}, {\"cell\": \"8 (100)\", \"bbox\": [327, 174, 350, 184]}, {\"cell\": \"71 (78.0)\", \"bbox\": [374, 174, 403, 184]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4862058_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Characteristic at time of first positive NTM cultureLAM positive ( n= 9)LAM negative ( n= 14)p -value
Median age (IQR), y[EMPTY_CELL]16.1 (11.9 – 24.0)0.41
Female, %[EMPTY_CELL]28.60.01
Homozygote for Delta 508, %[EMPTY_CELL]85.70.62
Median FEV1% of pred. (IQR)[EMPTY_CELL]70.0 (66.3 – 83.5)0.59
Diabetes mellitus, %[EMPTY_CELL]28.60.32
Structurally defective MBL allele*, %[EMPTY_CELL]7.10.01
Other chronic infection, %[EMPTY_CELL]50.00.18
Received NTM treatment, %[EMPTY_CELL]57.10.94
Number of positive NTM cultures[EMPTY_CELL]6.0 (1.8 – 14.5)0.68
MABSC, %[EMPTY_CELL]64.30.19
Fulfilled ATS criteria for NTM, %[EMPTY_CELL]78.60.52
Median time positive for NTM (IQR), y[EMPTY_CELL]3.0 (1.0 – 5.0)1.00
Chronic renal disease**, %[EMPTY_CELL]14.30.24
\", \"cells\": [{\"cell\": \"Characteristic at time of first positive NTM culture\", \"bbox\": [1, 4, 176, 13]}, {\"cell\": \"LAM positive ( n= 9)\", \"bbox\": [220, 4, 291, 13]}, {\"cell\": \"LAM negative ( n= 14)\", \"bbox\": [335, 4, 413, 13]}, {\"cell\": \"p -value\", \"bbox\": [457, 4, 484, 13]}, {\"cell\": \"Median age (IQR), y\", \"bbox\": [1, 17, 65, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 17, 276, 27]}, {\"cell\": \"16.1 (11.9 – 24.0)\", \"bbox\": [335, 17, 391, 27]}, {\"cell\": \"0.41\", \"bbox\": [457, 17, 472, 27]}, {\"cell\": \"Female, %\", \"bbox\": [1, 31, 35, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 31, 235, 41]}, {\"cell\": \"28.6\", \"bbox\": [335, 31, 350, 41]}, {\"cell\": \"0.01\", \"bbox\": [457, 31, 472, 41]}, {\"cell\": \"Homozygote for Delta 508, %\", \"bbox\": [1, 45, 97, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 45, 235, 55]}, {\"cell\": \"85.7\", \"bbox\": [335, 45, 350, 55]}, {\"cell\": \"0.62\", \"bbox\": [457, 45, 472, 55]}, {\"cell\": \"Median FEV1% of pred. (IQR)\", \"bbox\": [1, 59, 94, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 59, 276, 69]}, {\"cell\": \"70.0 (66.3 – 83.5)\", \"bbox\": [335, 59, 391, 69]}, {\"cell\": \"0.59\", \"bbox\": [457, 59, 472, 69]}, {\"cell\": \"Diabetes mellitus, %\", \"bbox\": [1, 73, 67, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 73, 235, 83]}, {\"cell\": \"28.6\", \"bbox\": [335, 73, 350, 83]}, {\"cell\": \"0.32\", \"bbox\": [457, 73, 472, 83]}, {\"cell\": \"Structurally defective MBL allele*, %\", \"bbox\": [1, 87, 117, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 87, 235, 97]}, {\"cell\": \"7.1\", \"bbox\": [335, 87, 346, 97]}, {\"cell\": \"0.01\", \"bbox\": [457, 87, 472, 97]}, {\"cell\": \"Other chronic infection, %\", \"bbox\": [1, 101, 86, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 101, 235, 111]}, {\"cell\": \"50.0\", \"bbox\": [335, 101, 350, 111]}, {\"cell\": \"0.18\", \"bbox\": [457, 101, 472, 111]}, {\"cell\": \"Received NTM treatment, %\", \"bbox\": [1, 115, 92, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 115, 235, 125]}, {\"cell\": \"57.1\", \"bbox\": [335, 115, 350, 125]}, {\"cell\": \"0.94\", \"bbox\": [457, 115, 472, 125]}, {\"cell\": \"Number of positive NTM cultures\", \"bbox\": [1, 129, 109, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 129, 272, 139]}, {\"cell\": \"6.0 (1.8 – 14.5)\", \"bbox\": [335, 129, 383, 139]}, {\"cell\": \"0.68\", \"bbox\": [457, 129, 472, 139]}, {\"cell\": \"MABSC, %\", \"bbox\": [1, 143, 35, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 143, 235, 153]}, {\"cell\": \"64.3\", \"bbox\": [335, 143, 350, 153]}, {\"cell\": \"0.19\", \"bbox\": [457, 143, 472, 153]}, {\"cell\": \"Fulfilled ATS criteria for NTM, %\", \"bbox\": [1, 157, 103, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 157, 235, 167]}, {\"cell\": \"78.6\", \"bbox\": [335, 157, 350, 167]}, {\"cell\": \"0.52\", \"bbox\": [457, 157, 472, 167]}, {\"cell\": \"Median time positive for NTM (IQR), y\", \"bbox\": [1, 171, 123, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 171, 265, 181]}, {\"cell\": \"3.0 (1.0 – 5.0)\", \"bbox\": [335, 171, 380, 181]}, {\"cell\": \"1.00\", \"bbox\": [457, 171, 472, 181]}, {\"cell\": \"Chronic renal disease**, %\", \"bbox\": [0, 185, 86, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 185, 226, 195]}, {\"cell\": \"14.3\", \"bbox\": [335, 185, 350, 195]}, {\"cell\": \"0.24\", \"bbox\": [457, 185, 472, 195]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4260379_004_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Diet (n = 14)Diet-plus-statin (n = 14)P value
Age (years)63.9 ± 3.360.6 ± 3.4[EMPTY_CELL]
Gender (female/male)4/104/10[EMPTY_CELL]
Body mass Index (kg/m2)24.4 ± 0.724.3 ± 0.9[EMPTY_CELL]
Current smoking (n (%))1 (7)2 (14)[EMPTY_CELL]
Alcohol (n (%))4 (29)3 (21)[EMPTY_CELL]
Diabetes mellitus (n (%))4 (29)5 (36)[EMPTY_CELL]
Hypertention (n (%))12 (86)12 (86)[EMPTY_CELL]
Cerebrovascular disease (n (%))0 (0)1 (7)[EMPTY_CELL]
Ischemic heart disease (n (%))0 (0)1 (7)[EMPTY_CELL]
Cause of CKD (n (%)):[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Diabetic nephropathy1 (7)2 (14)[EMPTY_CELL]
Chronic glomerulonephritis6 (43)7 (50)[EMPTY_CELL]
Nephrosclerosis6 (43)4 (29)[EMPTY_CELL]
Others1 (7)1 (7)[EMPTY_CELL]
Systolic BP (mmHg)133 ± 4127 ± 4[EMPTY_CELL]
Diastolic BP (mmHg)79 ± 276 ± 2[EMPTY_CELL]
Heart rate (beats/min)69 ± 374 ± 2[EMPTY_CELL]
Plasma glucose (mg/dL)113 ± 7107 ± 4[EMPTY_CELL]
HbA1c (%)5.6 ± 0.15.6 ± 0.1[EMPTY_CELL]
TC (mg/dL)211 ± 6207 ± 7[EMPTY_CELL]
LDL-C (mg/dL)139 ± 6136 ± 6[EMPTY_CELL]
HDL-C (mg/dL)56 ± 356 ± 4[EMPTY_CELL]
TG (mg/dL)145 ± 14154 ± 20[EMPTY_CELL]
AST (U/L)24 ± 120 ± 1[EMPTY_CELL]
ALT (U/L)22 ± 220 ± 3[EMPTY_CELL]
Creatine kinase (U/L)110 ± 13106 ± 13[EMPTY_CELL]
Serum creatinine (mg/dL)1.2 ± 0.11.3 ± 0.1[EMPTY_CELL]
Estimated GFR (mL/min/1.73 m2)50.1 ± 4.948.6 ± 4.7[EMPTY_CELL]
GFR category (n (%)):[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
G11 (7)0 (0)[EMPTY_CELL]
G22 (14)4 (29)[EMPTY_CELL]
G3a5 (36)3 (21)[EMPTY_CELL]
G3b5 (36)6 (43)[EMPTY_CELL]
G41 (7)1 (7)[EMPTY_CELL]
G50 (0)0 (0)[EMPTY_CELL]
UACR (mg/g-Cr)1025 ± 465801 ± 254[EMPTY_CELL]
Albuminuria category (n (%)):[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
A27 (50)7 (50)[EMPTY_CELL]
A37 (50)7 (50)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Diet (n = 14)\", \"bbox\": [186, 4, 227, 13]}, {\"cell\": \"Diet-plus-statin (n = 14)\", \"bbox\": [305, 4, 381, 13]}, {\"cell\": \"P value\", \"bbox\": [459, 4, 484, 13]}, {\"cell\": \"Age (years)\", \"bbox\": [1, 17, 38, 27]}, {\"cell\": \"63.9 ± 3.3\", \"bbox\": [186, 17, 218, 27]}, {\"cell\": \"60.6 ± 3.4\", \"bbox\": [305, 17, 337, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 17, 481, 27]}, {\"cell\": \"Gender (female/male)\", \"bbox\": [1, 31, 72, 41]}, {\"cell\": \"4/10\", \"bbox\": [186, 31, 202, 41]}, {\"cell\": \"4/10\", \"bbox\": [305, 31, 321, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 31, 481, 41]}, {\"cell\": \"Body mass Index (kg/m2)\", \"bbox\": [1, 43, 83, 55]}, {\"cell\": \"24.4 ± 0.7\", \"bbox\": [186, 45, 218, 55]}, {\"cell\": \"24.3 ± 0.9\", \"bbox\": [305, 45, 337, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 45, 481, 55]}, {\"cell\": \"Current smoking (n (%))\", \"bbox\": [1, 59, 79, 69]}, {\"cell\": \"1 (7)\", \"bbox\": [186, 59, 202, 69]}, {\"cell\": \"2 (14)\", \"bbox\": [305, 59, 325, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 59, 481, 69]}, {\"cell\": \"Alcohol (n (%))\", \"bbox\": [1, 73, 50, 83]}, {\"cell\": \"4 (29)\", \"bbox\": [186, 73, 206, 83]}, {\"cell\": \"3 (21)\", \"bbox\": [305, 73, 325, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 73, 481, 83]}, {\"cell\": \"Diabetes mellitus (n (%))\", \"bbox\": [1, 87, 81, 97]}, {\"cell\": \"4 (29)\", \"bbox\": [186, 87, 206, 97]}, {\"cell\": \"5 (36)\", \"bbox\": [305, 87, 325, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 87, 481, 97]}, {\"cell\": \"Hypertention (n (%))\", \"bbox\": [1, 101, 68, 111]}, {\"cell\": \"12 (86)\", \"bbox\": [186, 101, 210, 111]}, {\"cell\": \"12 (86)\", \"bbox\": [305, 101, 329, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 101, 481, 111]}, {\"cell\": \"Cerebrovascular disease (n (%))\", \"bbox\": [1, 115, 102, 125]}, {\"cell\": \"0 (0)\", \"bbox\": [186, 115, 202, 125]}, {\"cell\": \"1 (7)\", \"bbox\": [305, 115, 321, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 115, 481, 125]}, {\"cell\": \"Ischemic heart disease (n (%))\", \"bbox\": [1, 129, 98, 139]}, {\"cell\": \"0 (0)\", \"bbox\": [186, 129, 202, 139]}, {\"cell\": \"1 (7)\", \"bbox\": [305, 129, 321, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 129, 481, 139]}, {\"cell\": \"Cause of CKD (n (%)):\", \"bbox\": [1, 143, 71, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 143, 481, 153]}, {\"cell\": \" Diabetic nephropathy\", \"bbox\": [8, 157, 80, 167]}, {\"cell\": \"1 (7)\", \"bbox\": [186, 157, 202, 167]}, {\"cell\": \"2 (14)\", \"bbox\": [305, 157, 325, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Chronic glomerulonephritis\", \"bbox\": [8, 171, 98, 181]}, {\"cell\": \"6 (43)\", \"bbox\": [186, 171, 206, 181]}, {\"cell\": \"7 (50)\", \"bbox\": [305, 171, 325, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Nephrosclerosis\", \"bbox\": [8, 185, 60, 195]}, {\"cell\": \"6 (43)\", \"bbox\": [186, 185, 206, 195]}, {\"cell\": \"4 (29)\", \"bbox\": [305, 185, 325, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Others\", \"bbox\": [8, 199, 32, 209]}, {\"cell\": \"1 (7)\", \"bbox\": [186, 199, 202, 209]}, {\"cell\": \"1 (7)\", \"bbox\": [305, 199, 321, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Systolic BP (mmHg)\", \"bbox\": [1, 213, 65, 223]}, {\"cell\": \"133 ± 4\", \"bbox\": [186, 213, 211, 223]}, {\"cell\": \"127 ± 4\", \"bbox\": [305, 213, 330, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 213, 481, 223]}, {\"cell\": \"Diastolic BP (mmHg)\", \"bbox\": [1, 227, 68, 237]}, {\"cell\": \"79 ± 2\", \"bbox\": [186, 227, 207, 237]}, {\"cell\": \"76 ± 2\", \"bbox\": [305, 227, 327, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 227, 481, 237]}, {\"cell\": \"Heart rate (beats/min)\", \"bbox\": [1, 241, 73, 251]}, {\"cell\": \"69 ± 3\", \"bbox\": [186, 241, 207, 251]}, {\"cell\": \"74 ± 2\", \"bbox\": [305, 241, 327, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 241, 481, 251]}, {\"cell\": \"Plasma glucose (mg/dL)\", \"bbox\": [1, 255, 80, 265]}, {\"cell\": \"113 ± 7\", \"bbox\": [186, 255, 211, 265]}, {\"cell\": \"107 ± 4\", \"bbox\": [305, 255, 330, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 255, 481, 265]}, {\"cell\": \"HbA1c (%)\", \"bbox\": [1, 269, 36, 279]}, {\"cell\": \"5.6 ± 0.1\", \"bbox\": [186, 269, 214, 279]}, {\"cell\": \"5.6 ± 0.1\", \"bbox\": [305, 269, 333, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 269, 481, 279]}, {\"cell\": \"TC (mg/dL)\", \"bbox\": [1, 283, 39, 293]}, {\"cell\": \"211 ± 6\", \"bbox\": [186, 283, 211, 293]}, {\"cell\": \"207 ± 7\", \"bbox\": [305, 283, 330, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 283, 481, 293]}, {\"cell\": \"LDL-C (mg/dL)\", \"bbox\": [1, 297, 50, 307]}, {\"cell\": \"139 ± 6\", \"bbox\": [186, 297, 211, 307]}, {\"cell\": \"136 ± 6\", \"bbox\": [305, 297, 330, 307]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 297, 481, 307]}, {\"cell\": \"HDL-C (mg/dL)\", \"bbox\": [1, 311, 51, 321]}, {\"cell\": \"56 ± 3\", \"bbox\": [186, 311, 207, 321]}, {\"cell\": \"56 ± 4\", \"bbox\": [305, 311, 327, 321]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 311, 481, 321]}, {\"cell\": \"TG (mg/dL)\", \"bbox\": [1, 325, 39, 335]}, {\"cell\": \"145 ± 14\", \"bbox\": [186, 325, 215, 335]}, {\"cell\": \"154 ± 20\", \"bbox\": [305, 325, 334, 335]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 325, 481, 335]}, {\"cell\": \"AST (U/L)\", \"bbox\": [1, 339, 32, 349]}, {\"cell\": \"24 ± 1\", \"bbox\": [186, 339, 207, 349]}, {\"cell\": \"20 ± 1\", \"bbox\": [305, 339, 327, 349]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 339, 481, 349]}, {\"cell\": \"ALT (U/L)\", \"bbox\": [1, 353, 32, 363]}, {\"cell\": \"22 ± 2\", \"bbox\": [186, 353, 207, 363]}, {\"cell\": \"20 ± 3\", \"bbox\": [305, 353, 327, 363]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 353, 481, 363]}, {\"cell\": \"Creatine kinase (U/L)\", \"bbox\": [1, 367, 69, 377]}, {\"cell\": \"110 ± 13\", \"bbox\": [186, 367, 215, 377]}, {\"cell\": \"106 ± 13\", \"bbox\": [305, 367, 334, 377]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 367, 481, 377]}, {\"cell\": \"Serum creatinine (mg/dL)\", \"bbox\": [1, 381, 85, 391]}, {\"cell\": \"1.2 ± 0.1\", \"bbox\": [186, 381, 214, 391]}, {\"cell\": \"1.3 ± 0.1\", \"bbox\": [305, 381, 333, 391]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 381, 481, 391]}, {\"cell\": \"Estimated GFR (mL/min/1.73 m2)\", \"bbox\": [1, 393, 108, 405]}, {\"cell\": \"50.1 ± 4.9\", \"bbox\": [186, 395, 218, 405]}, {\"cell\": \"48.6 ± 4.7\", \"bbox\": [305, 395, 337, 405]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 395, 481, 405]}, {\"cell\": \"GFR category (n (%)):\", \"bbox\": [1, 409, 70, 419]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 409, 481, 419]}, {\"cell\": \" G1\", \"bbox\": [8, 423, 19, 433]}, {\"cell\": \"1 (7)\", \"bbox\": [186, 423, 202, 433]}, {\"cell\": \"0 (0)\", \"bbox\": [305, 423, 321, 433]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" G2\", \"bbox\": [8, 437, 19, 447]}, {\"cell\": \"2 (14)\", \"bbox\": [186, 437, 206, 447]}, {\"cell\": \"4 (29)\", \"bbox\": [305, 437, 325, 447]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" G3a\", \"bbox\": [8, 451, 23, 461]}, {\"cell\": \"5 (36)\", \"bbox\": [186, 451, 206, 461]}, {\"cell\": \"3 (21)\", \"bbox\": [305, 451, 325, 461]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" G3b\", \"bbox\": [8, 465, 24, 475]}, {\"cell\": \"5 (36)\", \"bbox\": [186, 465, 206, 475]}, {\"cell\": \"6 (43)\", \"bbox\": [305, 465, 325, 475]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" G4\", \"bbox\": [8, 479, 19, 489]}, {\"cell\": \"1 (7)\", \"bbox\": [186, 479, 202, 489]}, {\"cell\": \"1 (7)\", \"bbox\": [305, 479, 321, 489]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" G5\", \"bbox\": [8, 493, 19, 503]}, {\"cell\": \"0 (0)\", \"bbox\": [186, 493, 202, 503]}, {\"cell\": \"0 (0)\", \"bbox\": [305, 493, 321, 503]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"UACR (mg/g-Cr)\", \"bbox\": [1, 507, 54, 517]}, {\"cell\": \"1025 ± 465\", \"bbox\": [186, 507, 223, 517]}, {\"cell\": \"801 ± 254\", \"bbox\": [305, 507, 338, 517]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 507, 481, 517]}, {\"cell\": \"Albuminuria category (n (%)):\", \"bbox\": [1, 521, 96, 531]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 521, 481, 531]}, {\"cell\": \" A2\", \"bbox\": [8, 535, 19, 545]}, {\"cell\": \"7 (50)\", \"bbox\": [186, 535, 206, 545]}, {\"cell\": \"7 (50)\", \"bbox\": [305, 535, 325, 545]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" A3\", \"bbox\": [8, 549, 19, 559]}, {\"cell\": \"7 (50)\", \"bbox\": [186, 549, 206, 559]}, {\"cell\": \"7 (50)\", \"bbox\": [305, 549, 325, 559]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4673714_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
ConfidenceAdolescents, No. (%)a
All AgesAge 10–14 yAge 15–19 y
[EMPTY_CELL]N = 1287n = 830n = 457
[EMPTY_CELL]28 (2.2)18 (2.2)10 (2.2)
[EMPTY_CELL]49 (3.8)43 (5.2)6 (1.3)
[EMPTY_CELL]127 (9.9)97 (11.7)30 (6.6)
[EMPTY_CELL]1083 (84.2)672 (81.0)411 (89.9)
[EMPTY_CELL]N = 1283n = 826n = 457
[EMPTY_CELL]15 (1.2)11 (1.3)4 (0.9)
[EMPTY_CELL]19 (1.5)16 (1.9)3 (0.7)
[EMPTY_CELL]38 (3.0)23 (2.8)15 (3.3)
[EMPTY_CELL]478 (37.3)184 (22.3)294 (64.3)
[EMPTY_CELL]733 (57.1)592 (71.7)141 (30.9)
[EMPTY_CELL]N = 1288n = 832n = 456
[EMPTY_CELL]7 (0.5)5 (0.6)2 (0.4)
[EMPTY_CELL]16 (1.2)8 (1.0)8 (1.8)
[EMPTY_CELL]58 (4.5)26 (3.1)32 (7.0)
[EMPTY_CELL]481 (37.3)157 (18.9)324 (71.1)
[EMPTY_CELL]726 (56.4)636 (76.4)90 (19.7)
[EMPTY_CELL]N = 561n = 195n = 366
[EMPTY_CELL]16 (2.8)10 (5.1)6 (1.6)
[EMPTY_CELL]19 (3.4)7 (3.6)12 (3.3)
[EMPTY_CELL]56 (10.0)27 (13.9)29 (7.9)
[EMPTY_CELL]470 (83.8)151 (77.4)319 (87.2)
\", \"cells\": [{\"cell\": \"Confidence\", \"bbox\": [1, 24, 38, 33]}, {\"cell\": \"Adolescents, No. (%)a\", \"bbox\": [344, 6, 414, 16]}, {\"cell\": \"All Ages\", \"bbox\": [264, 24, 291, 33]}, {\"cell\": \"Age 10–14 y\", \"bbox\": [357, 24, 397, 33]}, {\"cell\": \"Age 15–19 y\", \"bbox\": [458, 24, 498, 33]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 37, 76, 47]}, {\"cell\": \"N = 1287\", \"bbox\": [263, 39, 294, 47]}, {\"cell\": \"n = 830\", \"bbox\": [364, 39, 390, 47]}, {\"cell\": \"n = 457\", \"bbox\": [465, 39, 491, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 50, 68, 58]}, {\"cell\": \"28 (2.2)\", \"bbox\": [267, 50, 292, 58]}, {\"cell\": \"18 (2.2)\", \"bbox\": [365, 50, 390, 58]}, {\"cell\": \"10 (2.2)\", \"bbox\": [466, 50, 491, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 61, 67, 69]}, {\"cell\": \"49 (3.8)\", \"bbox\": [267, 61, 292, 69]}, {\"cell\": \"43 (5.2)\", \"bbox\": [365, 61, 390, 69]}, {\"cell\": \"6 (1.3)\", \"bbox\": [469, 61, 490, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 72, 74, 80]}, {\"cell\": \"127 (9.9)\", \"bbox\": [263, 72, 292, 80]}, {\"cell\": \"97 (11.7)\", \"bbox\": [365, 72, 392, 80]}, {\"cell\": \"30 (6.6)\", \"bbox\": [466, 72, 491, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 83, 54, 91]}, {\"cell\": \"1083 (84.2)\", \"bbox\": [259, 83, 296, 91]}, {\"cell\": \"672 (81.0)\", \"bbox\": [361, 83, 393, 91]}, {\"cell\": \"411 (89.9)\", \"bbox\": [463, 83, 495, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 92, 153, 102]}, {\"cell\": \"N = 1283\", \"bbox\": [263, 94, 294, 102]}, {\"cell\": \"n = 826\", \"bbox\": [364, 94, 390, 102]}, {\"cell\": \"n = 457\", \"bbox\": [465, 94, 491, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 105, 68, 113]}, {\"cell\": \"15 (1.2)\", \"bbox\": [267, 105, 291, 113]}, {\"cell\": \"11 (1.3)\", \"bbox\": [365, 105, 389, 113]}, {\"cell\": \"4 (0.9)\", \"bbox\": [469, 105, 491, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 116, 67, 125]}, {\"cell\": \"19 (1.5)\", \"bbox\": [267, 116, 291, 125]}, {\"cell\": \"16 (1.9)\", \"bbox\": [365, 116, 389, 125]}, {\"cell\": \"3 (0.7)\", \"bbox\": [469, 116, 491, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 127, 74, 136]}, {\"cell\": \"38 (3.0)\", \"bbox\": [267, 127, 292, 136]}, {\"cell\": \"23 (2.8)\", \"bbox\": [365, 127, 390, 136]}, {\"cell\": \"15 (3.3)\", \"bbox\": [466, 127, 491, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 138, 54, 147]}, {\"cell\": \"478 (37.3)\", \"bbox\": [263, 138, 295, 147]}, {\"cell\": \"184 (22.3)\", \"bbox\": [361, 138, 394, 147]}, {\"cell\": \"294 (64.3)\", \"bbox\": [462, 138, 495, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 149, 75, 158]}, {\"cell\": \"733 (57.1)\", \"bbox\": [263, 149, 295, 158]}, {\"cell\": \"592 (71.7)\", \"bbox\": [361, 149, 393, 158]}, {\"cell\": \"141 (30.9)\", \"bbox\": [462, 149, 495, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 159, 160, 169]}, {\"cell\": \"N = 1288\", \"bbox\": [263, 160, 294, 169]}, {\"cell\": \"n = 832\", \"bbox\": [364, 160, 390, 169]}, {\"cell\": \"n = 456\", \"bbox\": [465, 160, 491, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 171, 68, 180]}, {\"cell\": \"7 (0.5)\", \"bbox\": [271, 171, 292, 180]}, {\"cell\": \"5 (0.6)\", \"bbox\": [368, 171, 390, 180]}, {\"cell\": \"2 (0.4)\", \"bbox\": [469, 171, 491, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 182, 67, 191]}, {\"cell\": \"16 (1.2)\", \"bbox\": [267, 182, 291, 191]}, {\"cell\": \"8 (1.0)\", \"bbox\": [368, 182, 389, 191]}, {\"cell\": \"8 (1.8)\", \"bbox\": [469, 182, 490, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 193, 74, 202]}, {\"cell\": \"58 (4.5)\", \"bbox\": [267, 193, 292, 202]}, {\"cell\": \"26 (3.1)\", \"bbox\": [365, 193, 390, 202]}, {\"cell\": \"32 (7.0)\", \"bbox\": [466, 193, 489, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 205, 54, 213]}, {\"cell\": \"481 (37.3)\", \"bbox\": [263, 205, 295, 213]}, {\"cell\": \"157 (18.9)\", \"bbox\": [361, 205, 394, 213]}, {\"cell\": \"324 (71.1)\", \"bbox\": [462, 205, 494, 213]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 216, 68, 224]}, {\"cell\": \"726 (56.4)\", \"bbox\": [263, 216, 296, 224]}, {\"cell\": \"636 (76.4)\", \"bbox\": [361, 216, 393, 224]}, {\"cell\": \"90 (19.7)\", \"bbox\": [466, 216, 494, 224]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 225, 212, 235]}, {\"cell\": \"N = 561\", \"bbox\": [263, 227, 290, 235]}, {\"cell\": \"n = 195\", \"bbox\": [364, 227, 390, 235]}, {\"cell\": \"n = 366\", \"bbox\": [465, 227, 491, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 238, 68, 246]}, {\"cell\": \"16 (2.8)\", \"bbox\": [267, 238, 292, 246]}, {\"cell\": \"10 (5.1)\", \"bbox\": [365, 238, 390, 246]}, {\"cell\": \"6 (1.6)\", \"bbox\": [469, 238, 490, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 249, 67, 257]}, {\"cell\": \"19 (3.4)\", \"bbox\": [267, 249, 292, 257]}, {\"cell\": \"7 (3.6)\", \"bbox\": [368, 249, 390, 257]}, {\"cell\": \"12 (3.3)\", \"bbox\": [466, 249, 491, 257]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 260, 74, 268]}, {\"cell\": \"56 (10.0)\", \"bbox\": [267, 260, 295, 268]}, {\"cell\": \"27 (13.9)\", \"bbox\": [365, 260, 393, 268]}, {\"cell\": \"29 (7.9)\", \"bbox\": [466, 260, 489, 268]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 271, 54, 279]}, {\"cell\": \"470 (83.8)\", \"bbox\": [263, 271, 296, 279]}, {\"cell\": \"151 (77.4)\", \"bbox\": [361, 271, 392, 279]}, {\"cell\": \"319 (87.2)\", \"bbox\": [462, 271, 493, 279]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5888964_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Selective causes of death19972014PC† (%)APC† (%)95% CI
CaseRate*CaseRate*
Septicemia10.0260.08[EMPTY_CELL]−2.08−7.53, 3.69
Pneumonia290.6080.10[EMPTY_CELL]−7.87−11.51, −4.09
Congenital heart disease380.78110.14[EMPTY_CELL]−7.32−9.65, −4.93
Preterm birth and low birth weight771.58660.83[EMPTY_CELL]−2.47−4.31, −0.59
Birth asphyxia891.83200.25[EMPTY_CELL]−11.04−11.98, −10.09
Intracranial hemorrhage of the newborn280.5830.04[EMPTY_CELL]−10.68−13.30, −7.99
Accidental asphyxia50.1020.03[EMPTY_CELL]−3.63−11.09, 4.45
\", \"cells\": [{\"cell\": \"Selective causes of death\", \"bbox\": [50, 12, 156, 23]}, {\"cell\": \"1997\", \"bbox\": [225, 5, 246, 15]}, {\"cell\": \"2014\", \"bbox\": [290, 5, 312, 15]}, {\"cell\": \"PC† (%)\", \"bbox\": [338, 11, 375, 23]}, {\"cell\": \"APC† (%)\", \"bbox\": [382, 11, 426, 23]}, {\"cell\": \"95% CI\", \"bbox\": [446, 12, 482, 23]}, {\"cell\": \"Case\", \"bbox\": [208, 19, 231, 30]}, {\"cell\": \"Rate*\", \"bbox\": [239, 19, 264, 30]}, {\"cell\": \"Case\", \"bbox\": [272, 19, 295, 30]}, {\"cell\": \"Rate*\", \"bbox\": [305, 19, 329, 30]}, {\"cell\": \"Septicemia\", \"bbox\": [5, 34, 51, 45]}, {\"cell\": \"1\", \"bbox\": [216, 34, 223, 45]}, {\"cell\": \"0.02\", \"bbox\": [242, 34, 261, 45]}, {\"cell\": \"6\", \"bbox\": [280, 34, 287, 45]}, {\"cell\": \"0.08\", \"bbox\": [307, 34, 327, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [342, 34, 371, 45]}, {\"cell\": \"−2.08\", \"bbox\": [391, 31, 417, 46]}, {\"cell\": \"−7.53, 3.69\", \"bbox\": [440, 31, 488, 46]}, {\"cell\": \"Pneumonia\", \"bbox\": [5, 49, 52, 60]}, {\"cell\": \"29\", \"bbox\": [214, 49, 225, 60]}, {\"cell\": \"0.60\", \"bbox\": [242, 49, 261, 60]}, {\"cell\": \"8\", \"bbox\": [280, 49, 287, 60]}, {\"cell\": \"0.10\", \"bbox\": [307, 49, 327, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [341, 46, 372, 61]}, {\"cell\": \"−7.87\", \"bbox\": [391, 46, 417, 61]}, {\"cell\": \"−11.51, −4.09\", \"bbox\": [435, 46, 493, 61]}, {\"cell\": \"Congenital heart disease\", \"bbox\": [5, 64, 105, 75]}, {\"cell\": \"38\", \"bbox\": [214, 64, 226, 75]}, {\"cell\": \"0.78\", \"bbox\": [242, 64, 261, 75]}, {\"cell\": \"11\", \"bbox\": [278, 64, 289, 75]}, {\"cell\": \"0.14\", \"bbox\": [307, 64, 327, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [341, 61, 372, 76]}, {\"cell\": \"−7.32\", \"bbox\": [391, 61, 417, 76]}, {\"cell\": \"−9.65, −4.93\", \"bbox\": [437, 61, 491, 76]}, {\"cell\": \"Preterm birth and low birth weight\", \"bbox\": [5, 76, 146, 91]}, {\"cell\": \"77\", \"bbox\": [214, 79, 226, 90]}, {\"cell\": \"1.58\", \"bbox\": [242, 79, 261, 90]}, {\"cell\": \"66\", \"bbox\": [278, 79, 290, 90]}, {\"cell\": \"0.83\", \"bbox\": [307, 79, 327, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [341, 76, 372, 91]}, {\"cell\": \"−2.47\", \"bbox\": [391, 76, 417, 91]}, {\"cell\": \"−4.31, −0.59\", \"bbox\": [437, 76, 491, 91]}, {\"cell\": \"Birth asphyxia\", \"bbox\": [5, 94, 66, 105]}, {\"cell\": \"89\", \"bbox\": [214, 94, 226, 105]}, {\"cell\": \"1.83\", \"bbox\": [242, 94, 261, 105]}, {\"cell\": \"20\", \"bbox\": [278, 94, 290, 105]}, {\"cell\": \"0.25\", \"bbox\": [307, 94, 327, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [341, 91, 372, 106]}, {\"cell\": \"−11.04\", \"bbox\": [389, 91, 419, 106]}, {\"cell\": \"−11.98, −10.09\", \"bbox\": [433, 91, 495, 106]}, {\"cell\": \"Intracranial hemorrhage of the newborn\", \"bbox\": [5, 106, 166, 121]}, {\"cell\": \"28\", \"bbox\": [214, 109, 226, 120]}, {\"cell\": \"0.58\", \"bbox\": [242, 109, 261, 120]}, {\"cell\": \"3\", \"bbox\": [280, 109, 287, 120]}, {\"cell\": \"0.04\", \"bbox\": [307, 109, 327, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [341, 106, 372, 121]}, {\"cell\": \"−10.68\", \"bbox\": [389, 106, 419, 121]}, {\"cell\": \"−13.30, −7.99\", \"bbox\": [435, 106, 493, 121]}, {\"cell\": \"Accidental asphyxia\", \"bbox\": [5, 124, 88, 135]}, {\"cell\": \"5\", \"bbox\": [216, 124, 223, 135]}, {\"cell\": \"0.10\", \"bbox\": [242, 124, 261, 135]}, {\"cell\": \"2\", \"bbox\": [280, 124, 287, 135]}, {\"cell\": \"0.03\", \"bbox\": [307, 124, 327, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [341, 121, 372, 136]}, {\"cell\": \"−3.63\", \"bbox\": [391, 121, 417, 136]}, {\"cell\": \"−11.09, 4.45\", \"bbox\": [438, 121, 490, 136]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4941338_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
CAMPsCAMP-t1CAMP-t2CAMP-ACAMP-BAvBD-6
[EMPTY_CELL]MIC (μg/ml)MIC (μg/ml)MIC (μg/ml)MIC (μg/ml)MIC (μg/ml)
[EMPTY_CELL]64641632> 256
[EMPTY_CELL]128641632> 256
[EMPTY_CELL]1281281664> 256
[EMPTY_CELL]1281281664> 256
[EMPTY_CELL]12864832> 256
[EMPTY_CELL]1282561664> 256
[EMPTY_CELL]128641664> 256
[EMPTY_CELL]1281281664> 256
[EMPTY_CELL]1281281664> 256
[EMPTY_CELL]1282561664> 256
[EMPTY_CELL]128641632> 256
[EMPTY_CELL]122.18 ± 19.29a122.18 ± 72.71a15.27 ± 2.41c52.36 ± 16.14b> 256
[EMPTY_CELL]64643232256
[EMPTY_CELL]256321632> 256
[EMPTY_CELL]256321664256
[EMPTY_CELL]256641664256
[EMPTY_CELL]128321632> 256
[EMPTY_CELL]64321632256
[EMPTY_CELL]256323232> 256
[EMPTY_CELL]2561283232> 256
[EMPTY_CELL]256321664> 256
[EMPTY_CELL]256321664> 256
[EMPTY_CELL]256323264256
[EMPTY_CELL]209.45 ± 81.41a46.55 ± 29.89b21.82 ± 8.07c46.55 ± 16.71b≥256
\", \"cells\": [{\"cell\": \"CAMPs\", \"bbox\": [1, 4, 25, 13]}, {\"cell\": \"CAMP-t1\", \"bbox\": [132, 4, 162, 13]}, {\"cell\": \"CAMP-t2\", \"bbox\": [213, 4, 243, 13]}, {\"cell\": \"CAMP-A\", \"bbox\": [294, 4, 322, 13]}, {\"cell\": \"CAMP-B\", \"bbox\": [367, 4, 394, 13]}, {\"cell\": \"AvBD-6\", \"bbox\": [444, 4, 470, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 68, 36]}, {\"cell\": \"MIC (μg/ml)\", \"bbox\": [132, 17, 173, 27]}, {\"cell\": \"MIC (μg/ml)\", \"bbox\": [213, 17, 253, 27]}, {\"cell\": \"MIC (μg/ml)\", \"bbox\": [294, 17, 334, 27]}, {\"cell\": \"MIC (μg/ml)\", \"bbox\": [367, 17, 407, 27]}, {\"cell\": \"MIC (μg/ml)\", \"bbox\": [444, 17, 484, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 40, 89, 50]}, {\"cell\": \"64\", \"bbox\": [132, 40, 142, 50]}, {\"cell\": \"64\", \"bbox\": [213, 40, 223, 50]}, {\"cell\": \"16\", \"bbox\": [294, 40, 303, 50]}, {\"cell\": \"32\", \"bbox\": [367, 40, 376, 50]}, {\"cell\": \"> 256\", \"bbox\": [444, 40, 464, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 52, 82, 64]}, {\"cell\": \"128\", \"bbox\": [132, 54, 146, 64]}, {\"cell\": \"64\", \"bbox\": [213, 54, 223, 64]}, {\"cell\": \"16\", \"bbox\": [294, 54, 303, 64]}, {\"cell\": \"32\", \"bbox\": [367, 54, 376, 64]}, {\"cell\": \"> 256\", \"bbox\": [444, 54, 464, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 66, 82, 78]}, {\"cell\": \"128\", \"bbox\": [132, 68, 146, 78]}, {\"cell\": \"128\", \"bbox\": [213, 68, 226, 78]}, {\"cell\": \"16\", \"bbox\": [294, 68, 303, 78]}, {\"cell\": \"64\", \"bbox\": [367, 68, 376, 78]}, {\"cell\": \"> 256\", \"bbox\": [444, 68, 464, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 80, 82, 92]}, {\"cell\": \"128\", \"bbox\": [132, 82, 146, 92]}, {\"cell\": \"128\", \"bbox\": [213, 82, 226, 92]}, {\"cell\": \"16\", \"bbox\": [294, 82, 303, 92]}, {\"cell\": \"64\", \"bbox\": [367, 82, 376, 92]}, {\"cell\": \"> 256\", \"bbox\": [444, 82, 464, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 94, 82, 106]}, {\"cell\": \"128\", \"bbox\": [132, 96, 146, 106]}, {\"cell\": \"64\", \"bbox\": [213, 96, 223, 106]}, {\"cell\": \"8\", \"bbox\": [294, 96, 300, 106]}, {\"cell\": \"32\", \"bbox\": [367, 96, 376, 106]}, {\"cell\": \"> 256\", \"bbox\": [444, 96, 464, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 108, 82, 120]}, {\"cell\": \"128\", \"bbox\": [132, 110, 146, 120]}, {\"cell\": \"256\", \"bbox\": [213, 110, 226, 120]}, {\"cell\": \"16\", \"bbox\": [294, 110, 303, 120]}, {\"cell\": \"64\", \"bbox\": [367, 110, 376, 120]}, {\"cell\": \"> 256\", \"bbox\": [444, 110, 464, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 122, 82, 134]}, {\"cell\": \"128\", \"bbox\": [132, 124, 146, 134]}, {\"cell\": \"64\", \"bbox\": [213, 124, 223, 134]}, {\"cell\": \"16\", \"bbox\": [294, 124, 303, 134]}, {\"cell\": \"64\", \"bbox\": [367, 124, 376, 134]}, {\"cell\": \"> 256\", \"bbox\": [444, 124, 464, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 136, 82, 148]}, {\"cell\": \"128\", \"bbox\": [132, 138, 146, 148]}, {\"cell\": \"128\", \"bbox\": [213, 138, 226, 148]}, {\"cell\": \"16\", \"bbox\": [294, 138, 303, 148]}, {\"cell\": \"64\", \"bbox\": [367, 138, 376, 148]}, {\"cell\": \"> 256\", \"bbox\": [444, 138, 464, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 150, 82, 162]}, {\"cell\": \"128\", \"bbox\": [132, 152, 146, 162]}, {\"cell\": \"128\", \"bbox\": [213, 152, 226, 162]}, {\"cell\": \"16\", \"bbox\": [294, 152, 303, 162]}, {\"cell\": \"64\", \"bbox\": [367, 152, 376, 162]}, {\"cell\": \"> 256\", \"bbox\": [444, 152, 464, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 164, 82, 176]}, {\"cell\": \"128\", \"bbox\": [132, 166, 146, 176]}, {\"cell\": \"256\", \"bbox\": [213, 166, 226, 176]}, {\"cell\": \"16\", \"bbox\": [294, 166, 303, 176]}, {\"cell\": \"64\", \"bbox\": [367, 166, 376, 176]}, {\"cell\": \"> 256\", \"bbox\": [444, 166, 464, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 178, 82, 190]}, {\"cell\": \"128\", \"bbox\": [132, 180, 146, 190]}, {\"cell\": \"64\", \"bbox\": [213, 180, 223, 190]}, {\"cell\": \"16\", \"bbox\": [294, 180, 303, 190]}, {\"cell\": \"32\", \"bbox\": [367, 180, 376, 190]}, {\"cell\": \"> 256\", \"bbox\": [444, 180, 464, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 194, 42, 204]}, {\"cell\": \"122.18 ± 19.29a\", \"bbox\": [132, 192, 182, 204]}, {\"cell\": \"122.18 ± 72.71a\", \"bbox\": [213, 192, 263, 204]}, {\"cell\": \"15.27 ± 2.41c\", \"bbox\": [294, 192, 336, 204]}, {\"cell\": \"52.36 ± 16.14b\", \"bbox\": [367, 192, 413, 204]}, {\"cell\": \"> 256\", \"bbox\": [444, 194, 464, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 208, 75, 218]}, {\"cell\": \"64\", \"bbox\": [132, 208, 142, 218]}, {\"cell\": \"64\", \"bbox\": [213, 208, 223, 218]}, {\"cell\": \"32\", \"bbox\": [294, 208, 303, 218]}, {\"cell\": \"32\", \"bbox\": [367, 208, 376, 218]}, {\"cell\": \"256\", \"bbox\": [444, 208, 458, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 220, 101, 232]}, {\"cell\": \"256\", \"bbox\": [132, 222, 146, 232]}, {\"cell\": \"32\", \"bbox\": [213, 222, 223, 232]}, {\"cell\": \"16\", \"bbox\": [294, 222, 303, 232]}, {\"cell\": \"32\", \"bbox\": [367, 222, 376, 232]}, {\"cell\": \"> 256\", \"bbox\": [444, 222, 464, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 234, 101, 246]}, {\"cell\": \"256\", \"bbox\": [132, 236, 146, 246]}, {\"cell\": \"32\", \"bbox\": [213, 236, 223, 246]}, {\"cell\": \"16\", \"bbox\": [294, 236, 303, 246]}, {\"cell\": \"64\", \"bbox\": [367, 236, 376, 246]}, {\"cell\": \"256\", \"bbox\": [444, 236, 458, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 248, 101, 260]}, {\"cell\": \"256\", \"bbox\": [132, 250, 146, 260]}, {\"cell\": \"64\", \"bbox\": [213, 250, 223, 260]}, {\"cell\": \"16\", \"bbox\": [294, 250, 303, 260]}, {\"cell\": \"64\", \"bbox\": [367, 250, 376, 260]}, {\"cell\": \"256\", \"bbox\": [444, 250, 458, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 262, 101, 274]}, {\"cell\": \"128\", \"bbox\": [132, 264, 146, 274]}, {\"cell\": \"32\", \"bbox\": [213, 264, 223, 274]}, {\"cell\": \"16\", \"bbox\": [294, 264, 303, 274]}, {\"cell\": \"32\", \"bbox\": [367, 264, 376, 274]}, {\"cell\": \"> 256\", \"bbox\": [444, 264, 464, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 276, 101, 288]}, {\"cell\": \"64\", \"bbox\": [132, 278, 142, 288]}, {\"cell\": \"32\", \"bbox\": [213, 278, 223, 288]}, {\"cell\": \"16\", \"bbox\": [294, 278, 303, 288]}, {\"cell\": \"32\", \"bbox\": [367, 278, 376, 288]}, {\"cell\": \"256\", \"bbox\": [444, 278, 458, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 290, 101, 302]}, {\"cell\": \"256\", \"bbox\": [132, 292, 146, 302]}, {\"cell\": \"32\", \"bbox\": [213, 292, 223, 302]}, {\"cell\": \"32\", \"bbox\": [294, 292, 303, 302]}, {\"cell\": \"32\", \"bbox\": [367, 292, 376, 302]}, {\"cell\": \"> 256\", \"bbox\": [444, 292, 464, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 304, 101, 316]}, {\"cell\": \"256\", \"bbox\": [132, 306, 146, 316]}, {\"cell\": \"128\", \"bbox\": [213, 306, 226, 316]}, {\"cell\": \"32\", \"bbox\": [294, 306, 303, 316]}, {\"cell\": \"32\", \"bbox\": [367, 306, 376, 316]}, {\"cell\": \"> 256\", \"bbox\": [444, 306, 464, 316]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 318, 101, 330]}, {\"cell\": \"256\", \"bbox\": [132, 320, 146, 330]}, {\"cell\": \"32\", \"bbox\": [213, 320, 223, 330]}, {\"cell\": \"16\", \"bbox\": [294, 320, 303, 330]}, {\"cell\": \"64\", \"bbox\": [367, 320, 376, 330]}, {\"cell\": \"> 256\", \"bbox\": [444, 320, 464, 330]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 332, 101, 344]}, {\"cell\": \"256\", \"bbox\": [132, 334, 146, 344]}, {\"cell\": \"32\", \"bbox\": [213, 334, 223, 344]}, {\"cell\": \"16\", \"bbox\": [294, 334, 303, 344]}, {\"cell\": \"64\", \"bbox\": [367, 334, 376, 344]}, {\"cell\": \"> 256\", \"bbox\": [444, 334, 464, 344]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 346, 101, 358]}, {\"cell\": \"256\", \"bbox\": [132, 348, 146, 358]}, {\"cell\": \"32\", \"bbox\": [213, 348, 223, 358]}, {\"cell\": \"32\", \"bbox\": [294, 348, 303, 358]}, {\"cell\": \"64\", \"bbox\": [367, 348, 376, 358]}, {\"cell\": \"256\", \"bbox\": [444, 348, 458, 358]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 362, 44, 372]}, {\"cell\": \"209.45 ± 81.41a\", \"bbox\": [132, 360, 182, 372]}, {\"cell\": \"46.55 ± 29.89b\", \"bbox\": [213, 360, 259, 372]}, {\"cell\": \"21.82 ± 8.07c\", \"bbox\": [294, 360, 336, 372]}, {\"cell\": \"46.55 ± 16.71b\", \"bbox\": [367, 360, 413, 372]}, {\"cell\": \"≥256\", \"bbox\": [444, 362, 463, 372]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5989455_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]PKLR rs3020781NOS1AP rs7538490
[EMPTY_CELL]TTTCCCpAddCCCTTTpDom
[EMPTY_CELL]3,065(1,544/1,521)2,169(1,062/1,107)356(180/176)[EMPTY_CELL]2,954(1,474/1,480)2,238(1,109/1,129)438(221/217)[EMPTY_CELL]
[EMPTY_CELL]46 ± 846 ± 845 ± 8[EMPTY_CELL]46 ± 846 ± 846 ± 8[EMPTY_CELL]
[EMPTY_CELL]26.2 ± 4.626.2 ± 4.525.9 ± 4.30.5826.2 ± 4.526.3 ± 4.626.1 ± 4.60.52
[EMPTY_CELL]
[EMPTY_CELL]5.5 ± 0.85.6 ± 0.95.5 ± 0.60.885.5 ± 0.75.5 ± 0.85.6 ± 1.10.46
[EMPTY_CELL]8.7 ± 1.98.7 ± 1.98.6 ± 1.90.318.7 ± 1.98.7 ± 1.98.7 ± 1.80.90
[EMPTY_CELL]6.2 ± 2.26.2 ± 2.16 ± 2.00.336.2 ± 2.16.2 ± 2.26.3 ± 2.10.22
[EMPTY_CELL]
[EMPTY_CELL]34(23–50)35(24–52)31(24–47)0.2134(24–51)34(23–51)34(24–51)0.14
[EMPTY_CELL]243(173–350)248(177–355)246(176–355)0.29244(175–351)247(176–354)248(173–360)0.67
[EMPTY_CELL]154(93–253)161(99–258)150(91–234)0.45155(95–251)157(97–257)158(103–256)0.59
[EMPTY_CELL]
[EMPTY_CELL]9.2(6.4–12.1)9.1(6.2–11.9)9.8(7.1–12.4)0.549.2(6.5–12.1)9.2(6.2–12.1)9.6(6.0–12.1)0.37
[EMPTY_CELL]1,622(1,282–2,083)1,625(1,290–2,058)1,634(1,280–2,092)0.841,618(1,276–2,048)1,643(1,301–2,118)1,632(1,310–2,125)0.05
[EMPTY_CELL]8.2(5.6–12.6)8.5(5.7–13.4)7.7(5.5–11.4)0.248.3(5.7–12.9)8.4(5.5–13.1)8.0(5.6–12.6)0.14
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"PKLR rs3020781\", \"bbox\": [142, 5, 205, 14]}, {\"cell\": \"NOS1AP rs7538490\", \"bbox\": [353, 5, 429, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TT\", \"bbox\": [90, 27, 104, 36]}, {\"cell\": \"TC\", \"bbox\": [152, 27, 167, 36]}, {\"cell\": \"CC\", \"bbox\": [215, 27, 230, 36]}, {\"cell\": \"pAdd\", \"bbox\": [259, 27, 277, 38]}, {\"cell\": \"CC\", \"bbox\": [306, 27, 320, 36]}, {\"cell\": \"CT\", \"bbox\": [368, 27, 383, 36]}, {\"cell\": \"TT\", \"bbox\": [431, 27, 445, 36]}, {\"cell\": \"pDom\", \"bbox\": [475, 27, 495, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 51, 53, 68]}, {\"cell\": \"3,065(1,544/1,521)\", \"bbox\": [74, 49, 120, 68]}, {\"cell\": \"2,169(1,062/1,107)\", \"bbox\": [136, 49, 183, 68]}, {\"cell\": \"356(180/176)\", \"bbox\": [205, 49, 239, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2,954(1,474/1,480)\", \"bbox\": [290, 49, 336, 68]}, {\"cell\": \"2,238(1,109/1,129)\", \"bbox\": [353, 49, 399, 68]}, {\"cell\": \"438(221/217)\", \"bbox\": [421, 49, 456, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 81, 45, 90]}, {\"cell\": \"46 ± 8\", \"bbox\": [85, 81, 109, 90]}, {\"cell\": \"46 ± 8\", \"bbox\": [148, 81, 171, 90]}, {\"cell\": \"45 ± 8\", \"bbox\": [210, 81, 234, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"46 ± 8\", \"bbox\": [301, 81, 325, 90]}, {\"cell\": \"46 ± 8\", \"bbox\": [364, 81, 388, 90]}, {\"cell\": \"46 ± 8\", \"bbox\": [427, 81, 450, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 102, 46, 112]}, {\"cell\": \"26.2 ± 4.6\", \"bbox\": [79, 103, 115, 112]}, {\"cell\": \"26.2 ± 4.5\", \"bbox\": [142, 103, 177, 112]}, {\"cell\": \"25.9 ± 4.3\", \"bbox\": [204, 103, 240, 112]}, {\"cell\": \"0.58\", \"bbox\": [259, 103, 276, 112]}, {\"cell\": \"26.2 ± 4.5\", \"bbox\": [295, 103, 331, 112]}, {\"cell\": \"26.3 ± 4.6\", \"bbox\": [358, 103, 393, 112]}, {\"cell\": \"26.1 ± 4.6\", \"bbox\": [421, 103, 456, 112]}, {\"cell\": \"0.52\", \"bbox\": [477, 103, 493, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 125, 299, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 147, 29, 157]}, {\"cell\": \"5.5 ± 0.8\", \"bbox\": [81, 147, 112, 157]}, {\"cell\": \"5.6 ± 0.9\", \"bbox\": [144, 147, 175, 157]}, {\"cell\": \"5.5 ± 0.6\", \"bbox\": [206, 147, 238, 157]}, {\"cell\": \"0.88\", \"bbox\": [259, 147, 276, 157]}, {\"cell\": \"5.5 ± 0.7\", \"bbox\": [297, 147, 329, 157]}, {\"cell\": \"5.5 ± 0.8\", \"bbox\": [360, 147, 391, 157]}, {\"cell\": \"5.6 ± 1.1\", \"bbox\": [423, 147, 454, 157]}, {\"cell\": \"0.46\", \"bbox\": [477, 147, 493, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 170, 30, 179]}, {\"cell\": \"8.7 ± 1.9\", \"bbox\": [81, 170, 112, 179]}, {\"cell\": \"8.7 ± 1.9\", \"bbox\": [144, 170, 175, 179]}, {\"cell\": \"8.6 ± 1.9\", \"bbox\": [207, 170, 238, 179]}, {\"cell\": \"0.31\", \"bbox\": [259, 170, 276, 179]}, {\"cell\": \"8.7 ± 1.9\", \"bbox\": [297, 170, 329, 179]}, {\"cell\": \"8.7 ± 1.9\", \"bbox\": [360, 170, 391, 179]}, {\"cell\": \"8.7 ± 1.8\", \"bbox\": [423, 170, 454, 179]}, {\"cell\": \"0.90\", \"bbox\": [477, 170, 493, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 192, 34, 201]}, {\"cell\": \"6.2 ± 2.2\", \"bbox\": [81, 192, 112, 201]}, {\"cell\": \"6.2 ± 2.1\", \"bbox\": [144, 192, 175, 201]}, {\"cell\": \"6 ± 2.0\", \"bbox\": [209, 192, 235, 201]}, {\"cell\": \"0.33\", \"bbox\": [259, 192, 276, 201]}, {\"cell\": \"6.2 ± 2.1\", \"bbox\": [297, 192, 329, 201]}, {\"cell\": \"6.2 ± 2.2\", \"bbox\": [360, 192, 391, 201]}, {\"cell\": \"6.3 ± 2.1\", \"bbox\": [423, 192, 454, 201]}, {\"cell\": \"0.22\", \"bbox\": [477, 192, 493, 201]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [207, 214, 295, 224]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 236, 29, 246]}, {\"cell\": \"34(23–50)\", \"bbox\": [83, 236, 111, 255]}, {\"cell\": \"35(24–52)\", \"bbox\": [145, 236, 173, 255]}, {\"cell\": \"31(24–47)\", \"bbox\": [208, 236, 236, 255]}, {\"cell\": \"0.21\", \"bbox\": [259, 236, 276, 246]}, {\"cell\": \"34(24–51)\", \"bbox\": [299, 236, 327, 255]}, {\"cell\": \"34(23–51)\", \"bbox\": [362, 236, 390, 255]}, {\"cell\": \"34(24–51)\", \"bbox\": [424, 236, 452, 255]}, {\"cell\": \"0.14\", \"bbox\": [477, 236, 493, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 268, 30, 277]}, {\"cell\": \"243(173–350)\", \"bbox\": [79, 268, 115, 287]}, {\"cell\": \"248(177–355)\", \"bbox\": [141, 268, 178, 287]}, {\"cell\": \"246(176–355)\", \"bbox\": [204, 268, 240, 287]}, {\"cell\": \"0.29\", \"bbox\": [259, 268, 276, 277]}, {\"cell\": \"244(175–351)\", \"bbox\": [295, 268, 331, 287]}, {\"cell\": \"247(176–354)\", \"bbox\": [358, 268, 394, 287]}, {\"cell\": \"248(173–360)\", \"bbox\": [420, 268, 456, 287]}, {\"cell\": \"0.67\", \"bbox\": [477, 268, 493, 277]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 299, 34, 309]}, {\"cell\": \"154(93–253)\", \"bbox\": [81, 299, 113, 318]}, {\"cell\": \"161(99–258)\", \"bbox\": [143, 299, 175, 318]}, {\"cell\": \"150(91–234)\", \"bbox\": [206, 299, 238, 318]}, {\"cell\": \"0.45\", \"bbox\": [259, 299, 276, 309]}, {\"cell\": \"155(95–251)\", \"bbox\": [297, 299, 329, 318]}, {\"cell\": \"157(97–257)\", \"bbox\": [360, 299, 392, 318]}, {\"cell\": \"158(103–256)\", \"bbox\": [420, 299, 456, 318]}, {\"cell\": \"0.59\", \"bbox\": [477, 299, 493, 309]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 331, 282, 340]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 353, 37, 364]}, {\"cell\": \"9.2(6.4–12.1)\", \"bbox\": [79, 353, 114, 372]}, {\"cell\": \"9.1(6.2–11.9)\", \"bbox\": [142, 353, 177, 372]}, {\"cell\": \"9.8(7.1–12.4)\", \"bbox\": [204, 353, 240, 372]}, {\"cell\": \"0.54\", \"bbox\": [259, 353, 276, 363]}, {\"cell\": \"9.2(6.5–12.1)\", \"bbox\": [295, 353, 331, 372]}, {\"cell\": \"9.2(6.2–12.1)\", \"bbox\": [358, 353, 393, 372]}, {\"cell\": \"9.6(6.0–12.1)\", \"bbox\": [421, 353, 456, 372]}, {\"cell\": \"0.37\", \"bbox\": [477, 353, 493, 363]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 385, 44, 394]}, {\"cell\": \"1,622(1,282–2,083)\", \"bbox\": [73, 385, 121, 403]}, {\"cell\": \"1,625(1,290–2,058)\", \"bbox\": [135, 385, 183, 403]}, {\"cell\": \"1,634(1,280–2,092)\", \"bbox\": [198, 385, 246, 403]}, {\"cell\": \"0.84\", \"bbox\": [259, 385, 276, 394]}, {\"cell\": \"1,618(1,276–2,048)\", \"bbox\": [289, 385, 337, 403]}, {\"cell\": \"1,643(1,301–2,118)\", \"bbox\": [352, 385, 400, 403]}, {\"cell\": \"1,632(1,310–2,125)\", \"bbox\": [414, 385, 462, 403]}, {\"cell\": \"0.05\", \"bbox\": [477, 385, 493, 394]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 416, 41, 426]}, {\"cell\": \"8.2(5.6–12.6)\", \"bbox\": [79, 416, 114, 435]}, {\"cell\": \"8.5(5.7–13.4)\", \"bbox\": [142, 416, 177, 435]}, {\"cell\": \"7.7(5.5–11.4)\", \"bbox\": [204, 416, 240, 435]}, {\"cell\": \"0.24\", \"bbox\": [259, 416, 276, 426]}, {\"cell\": \"8.3(5.7–12.9)\", \"bbox\": [295, 416, 331, 435]}, {\"cell\": \"8.4(5.5–13.1)\", \"bbox\": [358, 416, 393, 435]}, {\"cell\": \"8.0(5.6–12.6)\", \"bbox\": [421, 416, 456, 435]}, {\"cell\": \"0.14\", \"bbox\": [477, 416, 493, 426]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2654670_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Age category
Variable25–64 years n = 1329 (38.2)65–74 years n = 1083 (31.2)75–84 years n = 1063 (30.6)p Value
Sociodemographics
Age (years)a55 (49–60)70 (68–72)79 (77–81)[EMPTY_CELL]
Female sex251 (18.9)327 (30.2)500 (47.0)[EMPTY_CELL]
Marriedb885 (69.6)777 (75.6)607 (61.9)[EMPTY_CELL]
Living aloneb255 (20.1)189 (18.4)278 (28.4)[EMPTY_CELL]
Body mass index ≥30 kg/m2413 (31.1)255 (23.6)183 (17.2)[EMPTY_CELL]
Smoker[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Current smoker714 (53.7)201 (18.6)74 (7.0)[EMPTY_CELL]
Ex-smoker337 (25.4)403 (37.2)308 (29.0)[EMPTY_CELL]
Never-smoker234 (17.6)391 (36.1)476 (44.8)[EMPTY_CELL]
missing/not known44 (3.3)88 (8.1)205 (19.3)[EMPTY_CELL]
Medical historyc
Prior MI181 (13.6)228 (21.1)244 (23.0)[EMPTY_CELL]
Prior stroke51 (3.8)117 (10.8)171 (16.1)[EMPTY_CELL]
Diabetes353 (26.6)439 (40.5)439 (41.3)[EMPTY_CELL]
Hypertension910 (68.5)885 (81.7)943 (88.7)[EMPTY_CELL]
Hyperlipidemia631 (47.5)538 (49.7)453 (42.6)[EMPTY_CELL]
Angina pectoris135 (10.2)187 (17.3)210 (19.8)[EMPTY_CELL]
Chronic obstructive pulmonary disease50 (3.8)92 (8.5)92 (8.7)[EMPTY_CELL]
Clinical characteristics
Type of AMI[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
STEMI625 (47.0)369 (34.1)298 (28.0)[EMPTY_CELL]
NSTEM651 (49.0)603 (55.7)599 (56.4)[EMPTY_CELL]
Bundle branch block53 (4.0)111 (10.2)166 (15.6)[EMPTY_CELL]
Peak serum CPK level (U/l)a,b744 (265–1915)530 (212–1292)395 (173–991)[EMPTY_CELL]
LVEF[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
> 30 %1141 (85.8)841 (77.7)711 (67.0)[EMPTY_CELL]
≤ 30 %73 (5.5)87 (8.0)123 (11.5)[EMPTY_CELL]
not assessed/missing115 (8.7)155 (14.3)229 (21.5)[EMPTY_CELL]
Renal dysfunctiond54 (4.1)159 (14.7)306 (28.8)[EMPTY_CELL]
Pre-hospital time/symptom onset to arrival (min)a159 (79–585)175 (77–613)188 (75–565)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Age category\", \"bbox\": [175, 4, 220, 13]}, {\"cell\": \"Variable\", \"bbox\": [1, 17, 27, 27]}, {\"cell\": \"25–64 years n = 1329 (38.2)\", \"bbox\": [175, 17, 264, 27]}, {\"cell\": \"65–74 years n = 1083 (31.2)\", \"bbox\": [269, 17, 358, 27]}, {\"cell\": \"75–84 years n = 1063 (30.6)\", \"bbox\": [363, 17, 452, 27]}, {\"cell\": \"p Value\", \"bbox\": [457, 17, 483, 27]}, {\"cell\": \"Sociodemographics\", \"bbox\": [1, 30, 65, 40]}, {\"cell\": \" Age (years)a\", \"bbox\": [8, 43, 49, 54]}, {\"cell\": \"55 (49–60)\", \"bbox\": [200, 44, 235, 54]}, {\"cell\": \"70 (68–72)\", \"bbox\": [292, 44, 327, 54]}, {\"cell\": \"79 (77–81)\", \"bbox\": [388, 44, 423, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 44, 484, 54]}, {\"cell\": \" Female sex\", \"bbox\": [8, 58, 46, 68]}, {\"cell\": \"251 (18.9)\", \"bbox\": [196, 58, 229, 68]}, {\"cell\": \"327 (30.2)\", \"bbox\": [288, 58, 321, 68]}, {\"cell\": \"500 (47.0)\", \"bbox\": [384, 58, 417, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 58, 484, 68]}, {\"cell\": \" Marriedb\", \"bbox\": [8, 71, 38, 82]}, {\"cell\": \"885 (69.6)\", \"bbox\": [196, 72, 229, 82]}, {\"cell\": \"777 (75.6)\", \"bbox\": [288, 72, 321, 82]}, {\"cell\": \"607 (61.9)\", \"bbox\": [384, 72, 417, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 72, 484, 82]}, {\"cell\": \" Living aloneb\", \"bbox\": [8, 85, 53, 96]}, {\"cell\": \"255 (20.1)\", \"bbox\": [196, 86, 229, 96]}, {\"cell\": \"189 (18.4)\", \"bbox\": [288, 86, 321, 96]}, {\"cell\": \"278 (28.4)\", \"bbox\": [384, 86, 417, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 86, 484, 96]}, {\"cell\": \" Body mass index ≥30 kg/m2\", \"bbox\": [8, 99, 102, 110]}, {\"cell\": \"413 (31.1)\", \"bbox\": [196, 100, 229, 110]}, {\"cell\": \"255 (23.6)\", \"bbox\": [288, 100, 321, 110]}, {\"cell\": \"183 (17.2)\", \"bbox\": [384, 100, 417, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 100, 484, 110]}, {\"cell\": \" Smoker\", \"bbox\": [8, 114, 34, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 114, 484, 124]}, {\"cell\": \"Current smoker\", \"bbox\": [16, 128, 68, 138]}, {\"cell\": \"714 (53.7)\", \"bbox\": [196, 128, 229, 138]}, {\"cell\": \"201 (18.6)\", \"bbox\": [288, 128, 321, 138]}, {\"cell\": \"74 (7.0)\", \"bbox\": [388, 128, 413, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ex-smoker\", \"bbox\": [16, 142, 51, 152]}, {\"cell\": \"337 (25.4)\", \"bbox\": [196, 142, 229, 152]}, {\"cell\": \"403 (37.2)\", \"bbox\": [288, 142, 321, 152]}, {\"cell\": \"308 (29.0)\", \"bbox\": [384, 142, 417, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Never-smoker\", \"bbox\": [16, 156, 62, 166]}, {\"cell\": \"234 (17.6)\", \"bbox\": [196, 156, 229, 166]}, {\"cell\": \"391 (36.1)\", \"bbox\": [288, 156, 321, 166]}, {\"cell\": \"476 (44.8)\", \"bbox\": [384, 156, 417, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"missing/not known\", \"bbox\": [16, 170, 80, 180]}, {\"cell\": \"44 (3.3)\", \"bbox\": [200, 170, 225, 180]}, {\"cell\": \"88 (8.1)\", \"bbox\": [292, 170, 317, 180]}, {\"cell\": \"205 (19.3)\", \"bbox\": [384, 170, 417, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Medical historyc\", \"bbox\": [0, 183, 53, 194]}, {\"cell\": \" Prior MI\", \"bbox\": [8, 198, 35, 208]}, {\"cell\": \"181 (13.6)\", \"bbox\": [196, 198, 229, 208]}, {\"cell\": \"228 (21.1)\", \"bbox\": [288, 198, 321, 208]}, {\"cell\": \"244 (23.0)\", \"bbox\": [384, 198, 417, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 198, 484, 208]}, {\"cell\": \" Prior stroke\", \"bbox\": [8, 212, 46, 222]}, {\"cell\": \"51 (3.8)\", \"bbox\": [200, 212, 225, 222]}, {\"cell\": \"117 (10.8)\", \"bbox\": [288, 212, 321, 222]}, {\"cell\": \"171 (16.1)\", \"bbox\": [384, 212, 417, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 212, 484, 222]}, {\"cell\": \" Diabetes\", \"bbox\": [8, 226, 38, 236]}, {\"cell\": \"353 (26.6)\", \"bbox\": [196, 226, 229, 236]}, {\"cell\": \"439 (40.5)\", \"bbox\": [288, 226, 321, 236]}, {\"cell\": \"439 (41.3)\", \"bbox\": [384, 226, 417, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 226, 484, 236]}, {\"cell\": \" Hypertension\", \"bbox\": [8, 240, 53, 250]}, {\"cell\": \"910 (68.5)\", \"bbox\": [196, 240, 229, 250]}, {\"cell\": \"885 (81.7)\", \"bbox\": [288, 240, 321, 250]}, {\"cell\": \"943 (88.7)\", \"bbox\": [384, 240, 417, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 240, 484, 250]}, {\"cell\": \" Hyperlipidemia\", \"bbox\": [8, 254, 59, 264]}, {\"cell\": \"631 (47.5)\", \"bbox\": [196, 254, 229, 264]}, {\"cell\": \"538 (49.7)\", \"bbox\": [288, 254, 321, 264]}, {\"cell\": \"453 (42.6)\", \"bbox\": [384, 254, 417, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 254, 481, 264]}, {\"cell\": \" Angina pectoris\", \"bbox\": [8, 268, 61, 278]}, {\"cell\": \"135 (10.2)\", \"bbox\": [196, 268, 229, 278]}, {\"cell\": \"187 (17.3)\", \"bbox\": [288, 268, 321, 278]}, {\"cell\": \"210 (19.8)\", \"bbox\": [384, 268, 417, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 268, 484, 278]}, {\"cell\": \" Chronic obstructive pulmonary disease\", \"bbox\": [8, 282, 135, 292]}, {\"cell\": \"50 (3.8)\", \"bbox\": [200, 282, 225, 292]}, {\"cell\": \"92 (8.5)\", \"bbox\": [292, 282, 317, 292]}, {\"cell\": \"92 (8.7)\", \"bbox\": [388, 282, 413, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 282, 484, 292]}, {\"cell\": \"Clinical characteristics\", \"bbox\": [1, 296, 72, 306]}, {\"cell\": \" Type of AMI\", \"bbox\": [8, 310, 49, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 310, 484, 320]}, {\"cell\": \"STEMI\", \"bbox\": [16, 324, 37, 334]}, {\"cell\": \"625 (47.0)\", \"bbox\": [196, 324, 229, 334]}, {\"cell\": \"369 (34.1)\", \"bbox\": [288, 324, 321, 334]}, {\"cell\": \"298 (28.0)\", \"bbox\": [384, 324, 417, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"NSTEM\", \"bbox\": [16, 338, 41, 348]}, {\"cell\": \"651 (49.0)\", \"bbox\": [196, 338, 229, 348]}, {\"cell\": \"603 (55.7)\", \"bbox\": [288, 338, 321, 348]}, {\"cell\": \"599 (56.4)\", \"bbox\": [384, 338, 417, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Bundle branch block\", \"bbox\": [16, 352, 85, 362]}, {\"cell\": \"53 (4.0)\", \"bbox\": [200, 352, 225, 362]}, {\"cell\": \"111 (10.2)\", \"bbox\": [288, 352, 321, 362]}, {\"cell\": \"166 (15.6)\", \"bbox\": [384, 352, 417, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Peak serum CPK level (U/l)a,b\", \"bbox\": [8, 365, 102, 376]}, {\"cell\": \"744 (265–1915)\", \"bbox\": [196, 366, 247, 376]}, {\"cell\": \"530 (212–1292)\", \"bbox\": [288, 366, 339, 376]}, {\"cell\": \"395 (173–991)\", \"bbox\": [384, 366, 431, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 366, 484, 376]}, {\"cell\": \" LVEF\", \"bbox\": [8, 380, 25, 390]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 380, 484, 390]}, {\"cell\": \"> 30 %\", \"bbox\": [16, 394, 41, 404]}, {\"cell\": \"1141 (85.8)\", \"bbox\": [192, 394, 229, 404]}, {\"cell\": \"841 (77.7)\", \"bbox\": [288, 394, 321, 404]}, {\"cell\": \"711 (67.0)\", \"bbox\": [384, 394, 417, 404]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"≤ 30 %\", \"bbox\": [16, 408, 41, 418]}, {\"cell\": \"73 (5.5)\", \"bbox\": [200, 408, 225, 418]}, {\"cell\": \"87 (8.0)\", \"bbox\": [292, 408, 317, 418]}, {\"cell\": \"123 (11.5)\", \"bbox\": [384, 408, 417, 418]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"not assessed/missing\", \"bbox\": [16, 422, 86, 432]}, {\"cell\": \"115 (8.7)\", \"bbox\": [196, 422, 225, 432]}, {\"cell\": \"155 (14.3)\", \"bbox\": [288, 422, 321, 432]}, {\"cell\": \"229 (21.5)\", \"bbox\": [384, 422, 417, 432]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Renal dysfunctiond\", \"bbox\": [8, 435, 71, 446]}, {\"cell\": \"54 (4.1)\", \"bbox\": [200, 436, 225, 446]}, {\"cell\": \"159 (14.7)\", \"bbox\": [288, 436, 321, 446]}, {\"cell\": \"306 (28.8)\", \"bbox\": [384, 436, 417, 446]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 436, 484, 446]}, {\"cell\": \" Pre-hospital time/symptom onset to arrival (min)a\", \"bbox\": [8, 449, 170, 460]}, {\"cell\": \"159 (79–585)\", \"bbox\": [196, 450, 239, 460]}, {\"cell\": \"175 (77–613)\", \"bbox\": [288, 450, 331, 460]}, {\"cell\": \"188 (75–565)\", \"bbox\": [384, 450, 427, 460]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 450, 477, 460]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4944313_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Reasons for not donating blood, motivations & misconceptions%
Reasons for not donating blood[EMPTY_CELL]
[EMPTY_CELL]7
[EMPTY_CELL]4
[EMPTY_CELL]3
[EMPTY_CELL]11
[EMPTY_CELL]45
[EMPTY_CELL]3
[EMPTY_CELL]4
[EMPTY_CELL]2
[EMPTY_CELL]6
[EMPTY_CELL]3
[EMPTY_CELL]2
[EMPTY_CELL]5
[EMPTY_CELL]1
[EMPTY_CELL]2
[EMPTY_CELL]2
[EMPTY_CELL]
[EMPTY_CELL]30
[EMPTY_CELL]12
[EMPTY_CELL]5
[EMPTY_CELL]1
[EMPTY_CELL]4
[EMPTY_CELL]20
[EMPTY_CELL]28
[EMPTY_CELL]
[EMPTY_CELL]26
[EMPTY_CELL]7
[EMPTY_CELL]11
[EMPTY_CELL]10
[EMPTY_CELL]24
[EMPTY_CELL]16
[EMPTY_CELL]6
\", \"cells\": [{\"cell\": \"Reasons for not donating blood, motivations & misconceptions\", \"bbox\": [1, 3, 117, 25]}, {\"cell\": \"%\", \"bbox\": [204, 3, 214, 14]}, {\"cell\": \"Reasons for not donating blood\", \"bbox\": [1, 29, 129, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 40, 62, 51]}, {\"cell\": \"7\", \"bbox\": [204, 40, 210, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 52, 119, 63]}, {\"cell\": \"4\", \"bbox\": [204, 52, 210, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 63, 139, 74]}, {\"cell\": \"3\", \"bbox\": [204, 63, 210, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 74, 163, 85]}, {\"cell\": \"11\", \"bbox\": [204, 74, 215, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 86, 128, 97]}, {\"cell\": \"45\", \"bbox\": [204, 86, 215, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 97, 101, 108]}, {\"cell\": \"3\", \"bbox\": [204, 97, 210, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 108, 129, 119]}, {\"cell\": \"4\", \"bbox\": [204, 108, 210, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 119, 153, 131]}, {\"cell\": \"2\", \"bbox\": [204, 119, 210, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 131, 155, 153]}, {\"cell\": \"6\", \"bbox\": [204, 131, 210, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 153, 135, 164]}, {\"cell\": \"3\", \"bbox\": [204, 153, 210, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 165, 111, 176]}, {\"cell\": \"2\", \"bbox\": [204, 165, 210, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 176, 105, 187]}, {\"cell\": \"5\", \"bbox\": [204, 176, 210, 187]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 187, 127, 198]}, {\"cell\": \"1\", \"bbox\": [204, 187, 210, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 199, 107, 210]}, {\"cell\": \"2\", \"bbox\": [204, 199, 210, 210]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 207, 75, 221]}, {\"cell\": \"2\", \"bbox\": [204, 207, 210, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 221, 93, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 233, 130, 244]}, {\"cell\": \"30\", \"bbox\": [204, 233, 215, 244]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 244, 38, 255]}, {\"cell\": \"12\", \"bbox\": [204, 244, 215, 255]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 255, 70, 266]}, {\"cell\": \"5\", \"bbox\": [204, 255, 210, 266]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 266, 49, 278]}, {\"cell\": \"1\", \"bbox\": [204, 266, 210, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 278, 173, 289]}, {\"cell\": \"4\", \"bbox\": [204, 278, 210, 289]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 289, 72, 300]}, {\"cell\": \"20\", \"bbox\": [204, 289, 215, 300]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 300, 36, 311]}, {\"cell\": \"28\", \"bbox\": [204, 300, 215, 311]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 312, 65, 323]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 323, 151, 345]}, {\"cell\": \"26\", \"bbox\": [204, 323, 215, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 346, 148, 357]}, {\"cell\": \"7\", \"bbox\": [204, 346, 210, 357]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 357, 156, 368]}, {\"cell\": \"11\", \"bbox\": [204, 357, 215, 368]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 368, 101, 379]}, {\"cell\": \"10\", \"bbox\": [204, 368, 215, 379]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 379, 97, 391]}, {\"cell\": \"24\", \"bbox\": [204, 379, 215, 391]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 391, 84, 402]}, {\"cell\": \"16\", \"bbox\": [204, 391, 215, 402]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 402, 74, 413]}, {\"cell\": \"6\", \"bbox\": [204, 402, 210, 413]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3905364_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Medicare Hospital Claim DiagnosesMDS DiagnosesPPVSensitivitySpecificityPPV inter-state Inter-quartile range
Any hypertensionHypertension0.610.65[EMPTY_CELL]0.038
Heart failure/CardiomegalyHeart failure0.780.67[EMPTY_CELL]0.038
Cerebro-vascular AccidentStroke/TIA0.320.70[EMPTY_CELL]0.064
Parkinson's diseaseParkinson's disease0.600.69[EMPTY_CELL]0.090
Alzheimer's diseaseAlzheimer's disease0.660.53[EMPTY_CELL]0.076
Brain degenerationAny-type dementia0.320.72[EMPTY_CELL]0.058
Asthma/COPD/emphysemaAsthma/COPD/emphysema0.800.75[EMPTY_CELL]0.036
Any pneumoniaPneumonia0.630.60[EMPTY_CELL]0.064
Depressive disordersDepression0.250.78[EMPTY_CELL]0.050
Diabetes mellitusDiabetes mellitus0.690.93[EMPTY_CELL]0.039
Any cancerCancer0.550.51[EMPTY_CELL]0.076
Any anemiaAnemia0.510.39[EMPTY_CELL]0.055
Any UT infectionUrinary tract infection0.620.61[EMPTY_CELL]0.054
\", \"cells\": [{\"cell\": \"Medicare Hospital Claim Diagnoses\", \"bbox\": [1, 4, 125, 13]}, {\"cell\": \"MDS Diagnoses\", \"bbox\": [144, 4, 200, 13]}, {\"cell\": \"PPV\", \"bbox\": [253, 4, 268, 13]}, {\"cell\": \"Sensitivity\", \"bbox\": [287, 4, 325, 13]}, {\"cell\": \"Specificity\", \"bbox\": [344, 4, 381, 13]}, {\"cell\": \"PPV inter-state Inter-quartile range\", \"bbox\": [400, 4, 469, 22]}, {\"cell\": \"Any hypertension\", \"bbox\": [1, 26, 59, 36]}, {\"cell\": \"Hypertension\", \"bbox\": [144, 26, 189, 36]}, {\"cell\": \"0.61\", \"bbox\": [253, 26, 268, 36]}, {\"cell\": \"0.65\", \"bbox\": [287, 26, 302, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 26, 358, 36]}, {\"cell\": \"0.038\", \"bbox\": [400, 26, 418, 36]}, {\"cell\": \"Heart failure/Cardiomegaly\", \"bbox\": [1, 39, 88, 49]}, {\"cell\": \"Heart failure\", \"bbox\": [144, 39, 185, 49]}, {\"cell\": \"0.78\", \"bbox\": [253, 39, 268, 49]}, {\"cell\": \"0.67\", \"bbox\": [287, 39, 302, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 39, 358, 49]}, {\"cell\": \"0.038\", \"bbox\": [400, 39, 418, 49]}, {\"cell\": \"Cerebro-vascular Accident\", \"bbox\": [1, 53, 86, 62]}, {\"cell\": \"Stroke/TIA\", \"bbox\": [144, 53, 179, 62]}, {\"cell\": \"0.32\", \"bbox\": [253, 53, 268, 62]}, {\"cell\": \"0.70\", \"bbox\": [287, 53, 302, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 53, 358, 62]}, {\"cell\": \"0.064\", \"bbox\": [400, 53, 418, 62]}, {\"cell\": \"Parkinson's disease\", \"bbox\": [1, 66, 63, 75]}, {\"cell\": \"Parkinson's disease\", \"bbox\": [144, 66, 206, 75]}, {\"cell\": \"0.60\", \"bbox\": [253, 66, 268, 75]}, {\"cell\": \"0.69\", \"bbox\": [287, 66, 302, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 66, 358, 75]}, {\"cell\": \"0.090\", \"bbox\": [400, 66, 418, 75]}, {\"cell\": \"Alzheimer's disease\", \"bbox\": [1, 79, 64, 88]}, {\"cell\": \"Alzheimer's disease\", \"bbox\": [144, 79, 208, 88]}, {\"cell\": \"0.66\", \"bbox\": [253, 79, 268, 88]}, {\"cell\": \"0.53\", \"bbox\": [287, 79, 302, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 79, 358, 88]}, {\"cell\": \"0.076\", \"bbox\": [400, 79, 418, 88]}, {\"cell\": \"Brain degeneration\", \"bbox\": [0, 92, 64, 102]}, {\"cell\": \"Any-type dementia\", \"bbox\": [144, 92, 208, 102]}, {\"cell\": \"0.32\", \"bbox\": [253, 92, 268, 102]}, {\"cell\": \"0.72\", \"bbox\": [287, 92, 302, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 92, 358, 102]}, {\"cell\": \"0.058\", \"bbox\": [400, 92, 418, 102]}, {\"cell\": \"Asthma/COPD/emphysema\", \"bbox\": [0, 105, 90, 115]}, {\"cell\": \"Asthma/COPD/emphysema\", \"bbox\": [144, 105, 234, 115]}, {\"cell\": \"0.80\", \"bbox\": [253, 105, 268, 115]}, {\"cell\": \"0.75\", \"bbox\": [287, 105, 302, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 105, 358, 115]}, {\"cell\": \"0.036\", \"bbox\": [400, 105, 418, 115]}, {\"cell\": \"Any pneumonia\", \"bbox\": [0, 119, 54, 128]}, {\"cell\": \"Pneumonia\", \"bbox\": [144, 119, 183, 128]}, {\"cell\": \"0.63\", \"bbox\": [253, 119, 268, 128]}, {\"cell\": \"0.60\", \"bbox\": [287, 119, 302, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 119, 358, 128]}, {\"cell\": \"0.064\", \"bbox\": [400, 119, 418, 128]}, {\"cell\": \"Depressive disorders\", \"bbox\": [0, 132, 68, 141]}, {\"cell\": \"Depression\", \"bbox\": [144, 132, 182, 141]}, {\"cell\": \"0.25\", \"bbox\": [253, 132, 268, 141]}, {\"cell\": \"0.78\", \"bbox\": [287, 132, 302, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 132, 358, 141]}, {\"cell\": \"0.050\", \"bbox\": [400, 132, 418, 141]}, {\"cell\": \"Diabetes mellitus\", \"bbox\": [0, 145, 57, 155]}, {\"cell\": \"Diabetes mellitus\", \"bbox\": [144, 145, 201, 155]}, {\"cell\": \"0.69\", \"bbox\": [253, 145, 268, 155]}, {\"cell\": \"0.93\", \"bbox\": [287, 145, 302, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 145, 358, 155]}, {\"cell\": \"0.039\", \"bbox\": [400, 145, 418, 155]}, {\"cell\": \"Any cancer\", \"bbox\": [0, 158, 38, 168]}, {\"cell\": \"Cancer\", \"bbox\": [144, 158, 168, 168]}, {\"cell\": \"0.55\", \"bbox\": [253, 158, 268, 168]}, {\"cell\": \"0.51\", \"bbox\": [287, 158, 302, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 158, 358, 168]}, {\"cell\": \"0.076\", \"bbox\": [400, 158, 418, 168]}, {\"cell\": \"Any anemia\", \"bbox\": [0, 171, 41, 181]}, {\"cell\": \"Anemia\", \"bbox\": [144, 171, 171, 181]}, {\"cell\": \"0.51\", \"bbox\": [253, 171, 268, 181]}, {\"cell\": \"0.39\", \"bbox\": [287, 171, 302, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 171, 358, 181]}, {\"cell\": \"0.055\", \"bbox\": [400, 171, 418, 181]}, {\"cell\": \"Any UT infection\", \"bbox\": [0, 185, 57, 194]}, {\"cell\": \"Urinary tract infection\", \"bbox\": [144, 185, 216, 194]}, {\"cell\": \"0.62\", \"bbox\": [253, 185, 268, 194]}, {\"cell\": \"0.61\", \"bbox\": [287, 185, 302, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 185, 358, 194]}, {\"cell\": \"0.054\", \"bbox\": [400, 185, 418, 194]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3097253_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]PersistentTransientAdolescent-Onset
N = 62N = 520N = 134
nPercentnPercentnPercent
Baseline characteristics[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Females2641.926150.294[EMPTY_CELL]
High socio-economic status4775.843885.4103[EMPTY_CELL]
Exclusive breastfeeding for ≥4 months5183.640178.5107[EMPTY_CELL]
Immigrant parents1625.811822.739[EMPTY_CELL]
Parental allergy *3049.219137.041[EMPTY_CELL]
Doctor-diagnosed food allergy by age 4 years2440.014127.89[EMPTY_CELL]
Other allergy-related outcomes in early life[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Asthma1321.78015.818[EMPTY_CELL]
Eczema3253.327654.143[EMPTY_CELL]
Rhinitis2541.714027.919[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Persistent\", \"bbox\": [204, 5, 244, 13]}, {\"cell\": \"Transient\", \"bbox\": [284, 5, 322, 13]}, {\"cell\": \"Adolescent-Onset\", \"bbox\": [347, 3, 423, 13]}, {\"cell\": \"N = 62\", \"bbox\": [211, 20, 238, 28]}, {\"cell\": \"N = 520\", \"bbox\": [287, 20, 319, 28]}, {\"cell\": \"N = 134\", \"bbox\": [366, 20, 398, 28]}, {\"cell\": \"n\", \"bbox\": [201, 35, 208, 43]}, {\"cell\": \"Percent\", \"bbox\": [229, 35, 260, 43]}, {\"cell\": \"n\", \"bbox\": [280, 35, 287, 43]}, {\"cell\": \"Percent\", \"bbox\": [308, 35, 339, 43]}, {\"cell\": \"n\", \"bbox\": [359, 35, 366, 43]}, {\"cell\": \"Percent\", \"bbox\": [387, 35, 418, 43]}, {\"cell\": \"Baseline characteristics\", \"bbox\": [49, 50, 137, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Females\", \"bbox\": [77, 60, 109, 71]}, {\"cell\": \"26\", \"bbox\": [199, 60, 210, 71]}, {\"cell\": \"41.9\", \"bbox\": [235, 60, 252, 71]}, {\"cell\": \"261\", \"bbox\": [276, 60, 291, 71]}, {\"cell\": \"50.2\", \"bbox\": [314, 60, 331, 71]}, {\"cell\": \"94\", \"bbox\": [357, 60, 368, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [393, 60, 410, 71]}, {\"cell\": \"High socio-economic status\", \"bbox\": [40, 71, 146, 88]}, {\"cell\": \"47\", \"bbox\": [199, 71, 210, 81]}, {\"cell\": \"75.8\", \"bbox\": [235, 71, 252, 81]}, {\"cell\": \"438\", \"bbox\": [276, 71, 291, 81]}, {\"cell\": \"85.4\", \"bbox\": [314, 71, 331, 81]}, {\"cell\": \"103\", \"bbox\": [355, 71, 370, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [393, 71, 410, 81]}, {\"cell\": \"Exclusive breastfeeding for ≥4 months\", \"bbox\": [19, 81, 167, 92]}, {\"cell\": \"51\", \"bbox\": [199, 81, 210, 92]}, {\"cell\": \"83.6\", \"bbox\": [235, 81, 252, 92]}, {\"cell\": \"401\", \"bbox\": [276, 81, 291, 92]}, {\"cell\": \"78.5\", \"bbox\": [314, 81, 331, 92]}, {\"cell\": \"107\", \"bbox\": [355, 81, 370, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [393, 81, 410, 92]}, {\"cell\": \"Immigrant parents\", \"bbox\": [57, 92, 129, 102]}, {\"cell\": \"16\", \"bbox\": [199, 92, 210, 102]}, {\"cell\": \"25.8\", \"bbox\": [235, 92, 252, 102]}, {\"cell\": \"118\", \"bbox\": [276, 92, 291, 102]}, {\"cell\": \"22.7\", \"bbox\": [314, 92, 331, 102]}, {\"cell\": \"39\", \"bbox\": [357, 92, 368, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [393, 92, 410, 102]}, {\"cell\": \"Parental allergy *\", \"bbox\": [60, 102, 126, 113]}, {\"cell\": \"30\", \"bbox\": [199, 102, 210, 113]}, {\"cell\": \"49.2\", \"bbox\": [235, 102, 252, 113]}, {\"cell\": \"191\", \"bbox\": [276, 102, 291, 113]}, {\"cell\": \"37.0\", \"bbox\": [314, 102, 331, 113]}, {\"cell\": \"41\", \"bbox\": [357, 102, 368, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [393, 102, 410, 113]}, {\"cell\": \"Doctor-diagnosed food allergy by age 4 years\", \"bbox\": [7, 112, 179, 123]}, {\"cell\": \"24\", \"bbox\": [199, 112, 210, 123]}, {\"cell\": \"40.0\", \"bbox\": [235, 112, 252, 123]}, {\"cell\": \"141\", \"bbox\": [276, 112, 291, 123]}, {\"cell\": \"27.8\", \"bbox\": [314, 112, 331, 123]}, {\"cell\": \"9\", \"bbox\": [359, 112, 365, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [396, 112, 408, 123]}, {\"cell\": \"Other allergy-related outcomes in early life\", \"bbox\": [19, 123, 167, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Asthma\", \"bbox\": [77, 133, 109, 144]}, {\"cell\": \"13\", \"bbox\": [199, 133, 210, 144]}, {\"cell\": \"21.7\", \"bbox\": [235, 133, 252, 144]}, {\"cell\": \"80\", \"bbox\": [278, 133, 289, 144]}, {\"cell\": \"15.8\", \"bbox\": [314, 133, 331, 144]}, {\"cell\": \"18\", \"bbox\": [357, 133, 368, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [393, 133, 410, 144]}, {\"cell\": \"Eczema\", \"bbox\": [78, 144, 109, 154]}, {\"cell\": \"32\", \"bbox\": [199, 144, 210, 154]}, {\"cell\": \"53.3\", \"bbox\": [235, 144, 252, 154]}, {\"cell\": \"276\", \"bbox\": [276, 144, 291, 154]}, {\"cell\": \"54.1\", \"bbox\": [314, 144, 331, 154]}, {\"cell\": \"43\", \"bbox\": [357, 144, 368, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [393, 144, 410, 154]}, {\"cell\": \"Rhinitis\", \"bbox\": [77, 154, 109, 165]}, {\"cell\": \"25\", \"bbox\": [199, 154, 210, 165]}, {\"cell\": \"41.7\", \"bbox\": [235, 154, 252, 165]}, {\"cell\": \"140\", \"bbox\": [276, 154, 291, 165]}, {\"cell\": \"27.9\", \"bbox\": [314, 154, 331, 165]}, {\"cell\": \"19\", \"bbox\": [357, 154, 368, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [393, 154, 410, 165]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5986530_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Dominant model - Infection
APOL1 haplotypeT.b.g infectedControlAssociation analysis* T.b.g infected/Control
[EMPTY_CELL]Number%Number%OR [95% CI]P
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]19686.38985.61.07 [0.54 to 2.06]0.84
[EMPTY_CELL]3113.71514.4[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]227100.0104100.0[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]7333.53029.41.21 [0.73 to 2.03]0.47
[EMPTY_CELL]14566.57270.6[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]218100.0102100.0[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]6830.03533.70.84 [0.51 to 1.40]0.50
[EMPTY_CELL]15970.06966.3[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]227100.0104100.0[EMPTY_CELL][EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Dominant model - Infection\", \"bbox\": [331, 0, 436, 11]}, {\"cell\": \"APOL1 haplotype\", \"bbox\": [1, 23, 70, 33]}, {\"cell\": \"T.b.g infected\", \"bbox\": [239, 23, 293, 33]}, {\"cell\": \"Control\", \"bbox\": [354, 23, 384, 33]}, {\"cell\": \"Association analysis* T.b.g infected/Control\", \"bbox\": [444, 12, 530, 33]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Number\", \"bbox\": [227, 37, 259, 47]}, {\"cell\": \"%\", \"bbox\": [296, 37, 305, 47]}, {\"cell\": \"Number\", \"bbox\": [330, 37, 362, 47]}, {\"cell\": \"%\", \"bbox\": [399, 37, 408, 47]}, {\"cell\": \"OR [95% CI]\", \"bbox\": [453, 37, 498, 47]}, {\"cell\": \"P\", \"bbox\": [534, 37, 540, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 51, 202, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 74, 13, 84]}, {\"cell\": \"196\", \"bbox\": [244, 74, 259, 84]}, {\"cell\": \"86.3\", \"bbox\": [288, 74, 305, 84]}, {\"cell\": \"89\", \"bbox\": [351, 74, 362, 84]}, {\"cell\": \"85.6\", \"bbox\": [391, 74, 408, 84]}, {\"cell\": \"1.07 [0.54 to 2.06]\", \"bbox\": [433, 74, 498, 84]}, {\"cell\": \"0.84\", \"bbox\": [524, 74, 541, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 89, 31, 98]}, {\"cell\": \"31\", \"bbox\": [248, 89, 259, 98]}, {\"cell\": \"13.7\", \"bbox\": [288, 89, 305, 98]}, {\"cell\": \"15\", \"bbox\": [351, 89, 362, 98]}, {\"cell\": \"14.4\", \"bbox\": [391, 89, 408, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 103, 20, 113]}, {\"cell\": \"227\", \"bbox\": [244, 103, 259, 113]}, {\"cell\": \"100.0\", \"bbox\": [284, 103, 305, 113]}, {\"cell\": \"104\", \"bbox\": [347, 103, 362, 113]}, {\"cell\": \"100.0\", \"bbox\": [387, 103, 408, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 115, 138, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 140, 13, 150]}, {\"cell\": \"73\", \"bbox\": [248, 140, 259, 150]}, {\"cell\": \"33.5\", \"bbox\": [288, 140, 305, 150]}, {\"cell\": \"30\", \"bbox\": [351, 140, 362, 150]}, {\"cell\": \"29.4\", \"bbox\": [391, 140, 408, 150]}, {\"cell\": \"1.21 [0.73 to 2.03]\", \"bbox\": [433, 140, 498, 150]}, {\"cell\": \"0.47\", \"bbox\": [524, 140, 541, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 154, 31, 164]}, {\"cell\": \"145\", \"bbox\": [244, 154, 259, 164]}, {\"cell\": \"66.5\", \"bbox\": [288, 154, 305, 164]}, {\"cell\": \"72\", \"bbox\": [351, 154, 362, 164]}, {\"cell\": \"70.6\", \"bbox\": [391, 154, 408, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 168, 20, 178]}, {\"cell\": \"218\", \"bbox\": [244, 168, 259, 178]}, {\"cell\": \"100.0\", \"bbox\": [284, 168, 305, 178]}, {\"cell\": \"102\", \"bbox\": [347, 168, 362, 178]}, {\"cell\": \"100.0\", \"bbox\": [387, 168, 408, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 183, 99, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 206, 13, 216]}, {\"cell\": \"68\", \"bbox\": [248, 206, 259, 216]}, {\"cell\": \"30.0\", \"bbox\": [288, 206, 305, 216]}, {\"cell\": \"35\", \"bbox\": [351, 206, 362, 216]}, {\"cell\": \"33.7\", \"bbox\": [391, 206, 408, 216]}, {\"cell\": \"0.84 [0.51 to 1.40]\", \"bbox\": [433, 206, 498, 216]}, {\"cell\": \"0.50\", \"bbox\": [524, 206, 541, 216]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 220, 31, 230]}, {\"cell\": \"159\", \"bbox\": [244, 220, 259, 230]}, {\"cell\": \"70.0\", \"bbox\": [288, 220, 305, 230]}, {\"cell\": \"69\", \"bbox\": [351, 220, 362, 230]}, {\"cell\": \"66.3\", \"bbox\": [391, 220, 408, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 234, 20, 244]}, {\"cell\": \"227\", \"bbox\": [244, 234, 259, 244]}, {\"cell\": \"100.0\", \"bbox\": [284, 234, 305, 244]}, {\"cell\": \"104\", \"bbox\": [347, 234, 362, 244]}, {\"cell\": \"100.0\", \"bbox\": [387, 234, 408, 244]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5495568_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Delivery MethodSession TitleTime (hours)CME Points
[EMPTY_CELL]14 Essentials(Brodaty et al., 2013a; b)1.52
[EMPTY_CELL]1.52
[EMPTY_CELL]1.52
[EMPTY_CELL]1.52
[EMPTY_CELL]1.52
[EMPTY_CELL]640
[EMPTY_CELL]Timely Diagnosis of Dementia in General Practice (see S1-S4 above)640
[EMPTY_CELL]Recognising Dementia12
[EMPTY_CELL]12
[EMPTY_CELL]12
[EMPTY_CELL]12
[EMPTY_CELL]12
[EMPTY_CELL]12
[EMPTY_CELL]640
[EMPTY_CELL]Timely Diagnosis of Dementia in General Practice640
\", \"cells\": [{\"cell\": \"Delivery Method\", \"bbox\": [1, 4, 56, 13]}, {\"cell\": \"Session Title\", \"bbox\": [122, 4, 163, 13]}, {\"cell\": \"Time (hours)\", \"bbox\": [381, 4, 423, 13]}, {\"cell\": \"CME Points\", \"bbox\": [446, 4, 484, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 99, 27]}, {\"cell\": \"14 Essentials(Brodaty et al., 2013a; b)\", \"bbox\": [122, 17, 241, 27]}, {\"cell\": \"1.5\", \"bbox\": [381, 17, 392, 27]}, {\"cell\": \"2\", \"bbox\": [446, 17, 452, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [122, 31, 276, 41]}, {\"cell\": \"1.5\", \"bbox\": [381, 31, 392, 41]}, {\"cell\": \"2\", \"bbox\": [446, 31, 452, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [122, 45, 296, 55]}, {\"cell\": \"1.5\", \"bbox\": [381, 45, 392, 55]}, {\"cell\": \"2\", \"bbox\": [446, 45, 452, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [122, 59, 264, 69]}, {\"cell\": \"1.5\", \"bbox\": [381, 59, 392, 69]}, {\"cell\": \"2\", \"bbox\": [446, 59, 452, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [122, 73, 267, 83]}, {\"cell\": \"1.5\", \"bbox\": [381, 73, 392, 83]}, {\"cell\": \"2\", \"bbox\": [446, 73, 452, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [122, 87, 357, 97]}, {\"cell\": \"6\", \"bbox\": [381, 87, 387, 97]}, {\"cell\": \"40\", \"bbox\": [446, 87, 456, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 101, 78, 111]}, {\"cell\": \"Timely Diagnosis of Dementia in General Practice (see S1-S4 above)\", \"bbox\": [122, 101, 341, 111]}, {\"cell\": \"6\", \"bbox\": [381, 101, 387, 111]}, {\"cell\": \"40\", \"bbox\": [446, 101, 456, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 115, 23, 125]}, {\"cell\": \"Recognising Dementia\", \"bbox\": [122, 115, 197, 125]}, {\"cell\": \"1\", \"bbox\": [381, 115, 387, 125]}, {\"cell\": \"2\", \"bbox\": [446, 115, 452, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [122, 129, 197, 139]}, {\"cell\": \"1\", \"bbox\": [381, 129, 387, 139]}, {\"cell\": \"2\", \"bbox\": [446, 129, 452, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [122, 143, 212, 153]}, {\"cell\": \"1\", \"bbox\": [381, 143, 387, 153]}, {\"cell\": \"2\", \"bbox\": [446, 143, 452, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [122, 157, 239, 167]}, {\"cell\": \"1\", \"bbox\": [381, 157, 387, 167]}, {\"cell\": \"2\", \"bbox\": [446, 157, 452, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [122, 171, 320, 181]}, {\"cell\": \"1\", \"bbox\": [381, 171, 387, 181]}, {\"cell\": \"2\", \"bbox\": [446, 171, 452, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [122, 185, 233, 195]}, {\"cell\": \"1\", \"bbox\": [381, 185, 387, 195]}, {\"cell\": \"2\", \"bbox\": [446, 185, 452, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [122, 199, 358, 209]}, {\"cell\": \"6\", \"bbox\": [381, 199, 387, 209]}, {\"cell\": \"40\", \"bbox\": [446, 199, 456, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 213, 53, 223]}, {\"cell\": \"Timely Diagnosis of Dementia in General Practice\", \"bbox\": [122, 213, 282, 223]}, {\"cell\": \"6\", \"bbox\": [381, 213, 387, 223]}, {\"cell\": \"40\", \"bbox\": [446, 213, 456, 223]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC6086051_002_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Site of survey [ref.]LocationAge (Years)EthnicTimeNumberPrevalence (%)
Taiwan [4]Rural island[EMPTY_CELL]Han19745,6290.3
Beijing [9]Rural[EMPTY_CELL]Han19874,1920.34
Taiyuan [41]Urban[EMPTY_CELL]Han20043,9150.28
Shandong [25]Rural[EMPTY_CELL]Han19965,0550.36
Shanghai [3]Urban[EMPTY_CELL]Han19922,0100.2
Shanghai [28]Urban[EMPTY_CELL]Han19986,5840.28
Hong Kong [18]Urban[EMPTY_CELL]Han19921,9880.35
Shantou [9]Rural[EMPTY_CELL]Han19875,0580.32
Shantou [23]Urban[EMPTY_CELL]Han19952,0400.2
Taiwan [19]Urban[EMPTY_CELL]Han19943,0000.93
Taiwan [19]Suburban[EMPTY_CELL]Han19943,0000.78
Taiwan [19]Rural[EMPTY_CELL]Han19942,9980.26
Heilongjiang [12]Mountain[EMPTY_CELL]H and Maa19892,3110.50
Changchun [6]Factory[EMPTY_CELL]H and Maa198036,0970.32
Ningxia [14]Highland[EMPTY_CELL]H and Mub199010,4200.36
\", \"cells\": [{\"cell\": \"Site of survey [ref.]\", \"bbox\": [4, 9, 70, 19]}, {\"cell\": \"Location\", \"bbox\": [76, 9, 107, 19]}, {\"cell\": \"Age (Years)\", \"bbox\": [147, 9, 189, 19]}, {\"cell\": \"Ethnic\", \"bbox\": [218, 9, 241, 19]}, {\"cell\": \"Time\", \"bbox\": [289, 9, 308, 19]}, {\"cell\": \"Number\", \"bbox\": [361, 9, 390, 19]}, {\"cell\": \"Prevalence (%)\", \"bbox\": [432, 9, 486, 19]}, {\"cell\": \"Taiwan [4]\", \"bbox\": [4, 25, 42, 35]}, {\"cell\": \"Rural island\", \"bbox\": [76, 25, 117, 35]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [147, 15, 163, 37]}, {\"cell\": \"Han\", \"bbox\": [218, 25, 234, 35]}, {\"cell\": \"1974\", \"bbox\": [290, 25, 310, 35]}, {\"cell\": \"5,629\", \"bbox\": [361, 25, 383, 35]}, {\"cell\": \"0.3\", \"bbox\": [432, 25, 445, 35]}, {\"cell\": \"Beijing [9]\", \"bbox\": [4, 41, 42, 51]}, {\"cell\": \"Rural\", \"bbox\": [76, 41, 95, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [147, 30, 163, 52]}, {\"cell\": \"Han\", \"bbox\": [218, 41, 234, 51]}, {\"cell\": \"1987\", \"bbox\": [290, 41, 310, 51]}, {\"cell\": \"4,192\", \"bbox\": [361, 41, 383, 51]}, {\"cell\": \"0.34\", \"bbox\": [432, 41, 450, 51]}, {\"cell\": \"Taiyuan [41]\", \"bbox\": [4, 56, 49, 66]}, {\"cell\": \"Urban\", \"bbox\": [76, 56, 98, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [147, 46, 163, 68]}, {\"cell\": \"Han\", \"bbox\": [218, 56, 234, 66]}, {\"cell\": \"2004\", \"bbox\": [290, 56, 310, 66]}, {\"cell\": \"3,915\", \"bbox\": [361, 56, 383, 66]}, {\"cell\": \"0.28\", \"bbox\": [432, 56, 450, 66]}, {\"cell\": \"Shandong [25]\", \"bbox\": [4, 72, 58, 82]}, {\"cell\": \"Rural\", \"bbox\": [76, 72, 95, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [147, 61, 163, 83]}, {\"cell\": \"Han\", \"bbox\": [218, 72, 234, 82]}, {\"cell\": \"1996\", \"bbox\": [290, 72, 310, 82]}, {\"cell\": \"5,055\", \"bbox\": [361, 72, 383, 82]}, {\"cell\": \"0.36\", \"bbox\": [432, 72, 450, 82]}, {\"cell\": \"Shanghai [3]\", \"bbox\": [4, 87, 50, 97]}, {\"cell\": \"Urban\", \"bbox\": [76, 87, 98, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [147, 77, 163, 99]}, {\"cell\": \"Han\", \"bbox\": [218, 87, 234, 97]}, {\"cell\": \"1992\", \"bbox\": [290, 87, 310, 97]}, {\"cell\": \"2,010\", \"bbox\": [361, 87, 383, 97]}, {\"cell\": \"0.2\", \"bbox\": [432, 87, 445, 97]}, {\"cell\": \"Shanghai [28]\", \"bbox\": [4, 103, 55, 113]}, {\"cell\": \"Urban\", \"bbox\": [76, 103, 98, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [147, 92, 163, 114]}, {\"cell\": \"Han\", \"bbox\": [218, 103, 234, 113]}, {\"cell\": \"1998\", \"bbox\": [290, 103, 310, 113]}, {\"cell\": \"6,584\", \"bbox\": [361, 103, 383, 113]}, {\"cell\": \"0.28\", \"bbox\": [432, 103, 450, 113]}, {\"cell\": \"Hong Kong [18]\", \"bbox\": [4, 118, 62, 128]}, {\"cell\": \"Urban\", \"bbox\": [76, 118, 98, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [147, 108, 163, 130]}, {\"cell\": \"Han\", \"bbox\": [218, 118, 234, 128]}, {\"cell\": \"1992\", \"bbox\": [290, 118, 310, 128]}, {\"cell\": \"1,988\", \"bbox\": [361, 118, 383, 128]}, {\"cell\": \"0.35\", \"bbox\": [432, 118, 450, 128]}, {\"cell\": \"Shantou [9]\", \"bbox\": [4, 134, 47, 144]}, {\"cell\": \"Rural\", \"bbox\": [76, 134, 95, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [147, 123, 163, 145]}, {\"cell\": \"Han\", \"bbox\": [218, 134, 234, 144]}, {\"cell\": \"1987\", \"bbox\": [290, 134, 310, 144]}, {\"cell\": \"5,058\", \"bbox\": [361, 134, 383, 144]}, {\"cell\": \"0.32\", \"bbox\": [432, 134, 450, 144]}, {\"cell\": \"Shantou [23]\", \"bbox\": [4, 149, 51, 159]}, {\"cell\": \"Urban\", \"bbox\": [76, 149, 98, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [147, 139, 163, 161]}, {\"cell\": \"Han\", \"bbox\": [218, 149, 234, 159]}, {\"cell\": \"1995\", \"bbox\": [290, 149, 310, 159]}, {\"cell\": \"2,040\", \"bbox\": [361, 149, 383, 159]}, {\"cell\": \"0.2\", \"bbox\": [432, 149, 445, 159]}, {\"cell\": \"Taiwan [19]\", \"bbox\": [4, 165, 47, 175]}, {\"cell\": \"Urban\", \"bbox\": [76, 165, 98, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [147, 154, 163, 176]}, {\"cell\": \"Han\", \"bbox\": [218, 165, 234, 175]}, {\"cell\": \"1994\", \"bbox\": [290, 165, 310, 175]}, {\"cell\": \"3,000\", \"bbox\": [361, 165, 383, 175]}, {\"cell\": \"0.93\", \"bbox\": [432, 165, 450, 175]}, {\"cell\": \"Taiwan [19]\", \"bbox\": [4, 180, 47, 190]}, {\"cell\": \"Suburban\", \"bbox\": [76, 180, 111, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [147, 170, 163, 192]}, {\"cell\": \"Han\", \"bbox\": [218, 180, 234, 190]}, {\"cell\": \"1994\", \"bbox\": [290, 180, 310, 190]}, {\"cell\": \"3,000\", \"bbox\": [361, 180, 383, 190]}, {\"cell\": \"0.78\", \"bbox\": [432, 180, 450, 190]}, {\"cell\": \"Taiwan [19]\", \"bbox\": [4, 196, 47, 206]}, {\"cell\": \"Rural\", \"bbox\": [76, 196, 95, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [147, 185, 163, 207]}, {\"cell\": \"Han\", \"bbox\": [218, 196, 234, 206]}, {\"cell\": \"1994\", \"bbox\": [290, 196, 310, 206]}, {\"cell\": \"2,998\", \"bbox\": [361, 196, 383, 206]}, {\"cell\": \"0.26\", \"bbox\": [432, 196, 450, 206]}, {\"cell\": \"Heilongjiang [12]\", \"bbox\": [4, 211, 65, 221]}, {\"cell\": \"Mountain\", \"bbox\": [76, 211, 109, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [147, 201, 163, 223]}, {\"cell\": \"H and Maa\", \"bbox\": [218, 211, 256, 221]}, {\"cell\": \"1989\", \"bbox\": [290, 211, 310, 221]}, {\"cell\": \"2,311\", \"bbox\": [361, 211, 383, 221]}, {\"cell\": \"0.50\", \"bbox\": [432, 211, 450, 221]}, {\"cell\": \"Changchun [6]\", \"bbox\": [4, 227, 58, 237]}, {\"cell\": \"Factory\", \"bbox\": [76, 227, 103, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [147, 216, 163, 238]}, {\"cell\": \"H and Maa\", \"bbox\": [218, 226, 256, 237]}, {\"cell\": \"1980\", \"bbox\": [290, 227, 310, 237]}, {\"cell\": \"36,097\", \"bbox\": [361, 227, 388, 237]}, {\"cell\": \"0.32\", \"bbox\": [432, 227, 450, 237]}, {\"cell\": \"Ningxia [14]\", \"bbox\": [4, 242, 48, 252]}, {\"cell\": \"Highland\", \"bbox\": [76, 242, 108, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [147, 232, 163, 254]}, {\"cell\": \"H and Mub\", \"bbox\": [218, 242, 257, 252]}, {\"cell\": \"1990\", \"bbox\": [290, 242, 310, 252]}, {\"cell\": \"10,420\", \"bbox\": [361, 242, 388, 252]}, {\"cell\": \"0.36\", \"bbox\": [432, 242, 450, 252]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2374446_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Odds ratio (95% C.I.)Probability
Age[EMPTY_CELL]<0.001
Gender[EMPTY_CELL]<0.001
Body mass index[EMPTY_CELL]0.069
Triglycerides[EMPTY_CELL]0.118
Current smoking[EMPTY_CELL]0.004
Use of statins[EMPTY_CELL]0.106
Estimated glomerular filtration rate[EMPTY_CELL]0.052
Low density lipoprotein cholesterol[EMPTY_CELL]<0.001
Type 2 diabetes[EMPTY_CELL]0.045
Adipo-IR quartile 1[EMPTY_CELL][EMPTY_CELL]
Adipo-IR quartile 2[EMPTY_CELL]0.142
Adipo-IR quartile 3[EMPTY_CELL]0.490
Adipo-IR quartile 4[EMPTY_CELL]0.006
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Odds ratio (95% C.I.)\", \"bbox\": [253, 4, 332, 15]}, {\"cell\": \"Probability\", \"bbox\": [457, 4, 499, 15]}, {\"cell\": \"Age\", \"bbox\": [2, 17, 18, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 17, 317, 27]}, {\"cell\": \"<0.001\", \"bbox\": [465, 14, 491, 29]}, {\"cell\": \"Gender\", \"bbox\": [2, 29, 32, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [264, 29, 320, 40]}, {\"cell\": \"<0.001\", \"bbox\": [465, 26, 491, 41]}, {\"cell\": \"Body mass index\", \"bbox\": [2, 42, 65, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [263, 42, 321, 52]}, {\"cell\": \"0.069\", \"bbox\": [467, 42, 489, 52]}, {\"cell\": \"Triglycerides\", \"bbox\": [2, 54, 51, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [263, 54, 321, 65]}, {\"cell\": \"0.118\", \"bbox\": [468, 54, 487, 65]}, {\"cell\": \"Current smoking\", \"bbox\": [2, 67, 66, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [262, 67, 322, 77]}, {\"cell\": \"0.004\", \"bbox\": [467, 67, 489, 77]}, {\"cell\": \"Use of statins\", \"bbox\": [2, 79, 52, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [263, 79, 321, 90]}, {\"cell\": \"0.106\", \"bbox\": [468, 79, 488, 90]}, {\"cell\": \"Estimated glomerular filtration rate\", \"bbox\": [2, 91, 131, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [264, 91, 321, 102]}, {\"cell\": \"0.052\", \"bbox\": [467, 91, 488, 102]}, {\"cell\": \"Low density lipoprotein cholesterol\", \"bbox\": [2, 104, 131, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [264, 104, 320, 115]}, {\"cell\": \"<0.001\", \"bbox\": [465, 101, 491, 116]}, {\"cell\": \"Type 2 diabetes\", \"bbox\": [2, 116, 59, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [265, 116, 320, 127]}, {\"cell\": \"0.045\", \"bbox\": [467, 116, 489, 127]}, {\"cell\": \"Adipo-IR quartile 1\", \"bbox\": [2, 129, 74, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 129, 315, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Adipo-IR quartile 2\", \"bbox\": [2, 141, 75, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [264, 141, 321, 152]}, {\"cell\": \"0.142\", \"bbox\": [468, 141, 488, 152]}, {\"cell\": \"Adipo-IR quartile 3\", \"bbox\": [2, 154, 75, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [264, 154, 321, 164]}, {\"cell\": \"0.490\", \"bbox\": [467, 154, 489, 164]}, {\"cell\": \"Adipo-IR quartile 4\", \"bbox\": [2, 166, 75, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [263, 166, 321, 177]}, {\"cell\": \"0.006\", \"bbox\": [467, 166, 489, 177]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5227149_006_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariableConstructSelf-Injury Group Means[EMPTY_CELL]Effect Size
CurrentPreviousNoneFpD
Expressed EmotionOverall39.58[EMPTY_CELL]36.017.360.0010.06
[EMPTY_CELL]Perceived Criticism20.06[EMPTY_CELL]13.0215.480.0000.17
[EMPTY_CELL]Emotional Involvement19.52[EMPTY_CELL]22.9913.420.0000.09
ShameOverall80.73[EMPTY_CELL]54.8461.990.0000.33
[EMPTY_CELL]Characterological36.72[EMPTY_CELL]23.8254.610.0000.24
[EMPTY_CELL]Behavioural30.35[EMPTY_CELL]21.6243.000.0000.25
[EMPTY_CELL]Bodily13.69[EMPTY_CELL]9.3949.080.0000.24
Psychological Distress Overall117.14[EMPTY_CELL]70.3868.300.0000.26
[EMPTY_CELL]Depression40.86[EMPTY_CELL]23.1956.920.0000.27
[EMPTY_CELL]Anxiety34.67[EMPTY_CELL]20.8048.720.0000.18
[EMPTY_CELL]Stress41.76[EMPTY_CELL]25.8664.450.0000.34
Emotion Dysregulation[EMPTY_CELL]116.50[EMPTY_CELL]91.2455.020.0000.11
\", \"cells\": [{\"cell\": \"Variable\", \"bbox\": [26, 12, 59, 22]}, {\"cell\": \"Construct\", \"bbox\": [112, 11, 150, 21]}, {\"cell\": \"Self-Injury Group Means\", \"bbox\": [186, 4, 282, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Effect Size\", \"bbox\": [354, 4, 395, 14]}, {\"cell\": \"Current\", \"bbox\": [183, 19, 214, 29]}, {\"cell\": \"Previous\", \"bbox\": [220, 19, 254, 29]}, {\"cell\": \"None\", \"bbox\": [260, 19, 282, 29]}, {\"cell\": \"F\", \"bbox\": [301, 19, 307, 29]}, {\"cell\": \"p\", \"bbox\": [331, 19, 338, 29]}, {\"cell\": \"D\", \"bbox\": [370, 19, 379, 29]}, {\"cell\": \"Expressed Emotion\", \"bbox\": [7, 33, 78, 43]}, {\"cell\": \"Overall\", \"bbox\": [117, 33, 146, 43]}, {\"cell\": \"39.58\", \"bbox\": [187, 33, 207, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 33, 244, 43]}, {\"cell\": \"36.01\", \"bbox\": [261, 33, 281, 43]}, {\"cell\": \"7.36\", \"bbox\": [296, 33, 312, 43]}, {\"cell\": \"0.001\", \"bbox\": [325, 33, 345, 43]}, {\"cell\": \"0.06\", \"bbox\": [367, 33, 383, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Perceived Criticism\", \"bbox\": [95, 43, 167, 53]}, {\"cell\": \"20.06\", \"bbox\": [187, 43, 207, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 43, 244, 53]}, {\"cell\": \"13.02\", \"bbox\": [261, 43, 281, 53]}, {\"cell\": \"15.48\", \"bbox\": [294, 43, 314, 53]}, {\"cell\": \"0.000\", \"bbox\": [325, 43, 345, 53]}, {\"cell\": \"0.17\", \"bbox\": [367, 43, 383, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Emotional Involvement\", \"bbox\": [88, 53, 174, 63]}, {\"cell\": \"19.52\", \"bbox\": [187, 53, 207, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 53, 244, 63]}, {\"cell\": \"22.99\", \"bbox\": [261, 53, 281, 63]}, {\"cell\": \"13.42\", \"bbox\": [294, 53, 314, 63]}, {\"cell\": \"0.000\", \"bbox\": [325, 53, 345, 63]}, {\"cell\": \"0.09\", \"bbox\": [367, 53, 383, 63]}, {\"cell\": \"Shame\", \"bbox\": [30, 63, 56, 73]}, {\"cell\": \"Overall\", \"bbox\": [117, 63, 146, 73]}, {\"cell\": \"80.73\", \"bbox\": [187, 63, 207, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 63, 244, 73]}, {\"cell\": \"54.84\", \"bbox\": [261, 63, 281, 73]}, {\"cell\": \"61.99\", \"bbox\": [294, 63, 314, 73]}, {\"cell\": \"0.000\", \"bbox\": [325, 63, 345, 73]}, {\"cell\": \"0.33\", \"bbox\": [367, 63, 383, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Characterological\", \"bbox\": [99, 73, 164, 83]}, {\"cell\": \"36.72\", \"bbox\": [187, 73, 207, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 73, 244, 83]}, {\"cell\": \"23.82\", \"bbox\": [261, 73, 281, 83]}, {\"cell\": \"54.61\", \"bbox\": [294, 73, 314, 83]}, {\"cell\": \"0.000\", \"bbox\": [325, 73, 345, 83]}, {\"cell\": \"0.24\", \"bbox\": [367, 73, 383, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Behavioural\", \"bbox\": [109, 82, 154, 93]}, {\"cell\": \"30.35\", \"bbox\": [187, 82, 207, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 82, 244, 93]}, {\"cell\": \"21.62\", \"bbox\": [261, 82, 281, 93]}, {\"cell\": \"43.00\", \"bbox\": [294, 82, 314, 93]}, {\"cell\": \"0.000\", \"bbox\": [325, 82, 345, 93]}, {\"cell\": \"0.25\", \"bbox\": [367, 82, 383, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Bodily\", \"bbox\": [118, 92, 144, 102]}, {\"cell\": \"13.69\", \"bbox\": [187, 92, 207, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 92, 244, 102]}, {\"cell\": \"9.39\", \"bbox\": [263, 92, 279, 102]}, {\"cell\": \"49.08\", \"bbox\": [294, 92, 314, 102]}, {\"cell\": \"0.000\", \"bbox\": [325, 92, 345, 102]}, {\"cell\": \"0.24\", \"bbox\": [367, 92, 383, 102]}, {\"cell\": \"Psychological Distress \", \"bbox\": [6, 102, 85, 112]}, {\"cell\": \"Overall\", \"bbox\": [117, 102, 146, 112]}, {\"cell\": \"117.14\", \"bbox\": [185, 102, 209, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 102, 244, 112]}, {\"cell\": \"70.38\", \"bbox\": [261, 102, 281, 112]}, {\"cell\": \"68.30\", \"bbox\": [294, 102, 314, 112]}, {\"cell\": \"0.000\", \"bbox\": [325, 102, 345, 112]}, {\"cell\": \"0.26\", \"bbox\": [367, 102, 383, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Depression\", \"bbox\": [110, 112, 152, 122]}, {\"cell\": \"40.86\", \"bbox\": [187, 112, 207, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 112, 244, 122]}, {\"cell\": \"23.19\", \"bbox\": [261, 112, 281, 122]}, {\"cell\": \"56.92\", \"bbox\": [294, 112, 314, 122]}, {\"cell\": \"0.000\", \"bbox\": [325, 112, 345, 122]}, {\"cell\": \"0.27\", \"bbox\": [367, 112, 383, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Anxiety\", \"bbox\": [116, 122, 146, 132]}, {\"cell\": \"34.67\", \"bbox\": [187, 122, 207, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 122, 244, 132]}, {\"cell\": \"20.80\", \"bbox\": [261, 122, 281, 132]}, {\"cell\": \"48.72\", \"bbox\": [294, 122, 314, 132]}, {\"cell\": \"0.000\", \"bbox\": [325, 122, 345, 132]}, {\"cell\": \"0.18\", \"bbox\": [367, 122, 383, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Stress\", \"bbox\": [120, 132, 143, 142]}, {\"cell\": \"41.76\", \"bbox\": [187, 132, 207, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 132, 244, 142]}, {\"cell\": \"25.86\", \"bbox\": [261, 132, 281, 142]}, {\"cell\": \"64.45\", \"bbox\": [294, 132, 314, 142]}, {\"cell\": \"0.000\", \"bbox\": [325, 132, 345, 142]}, {\"cell\": \"0.34\", \"bbox\": [367, 132, 383, 142]}, {\"cell\": \"Emotion Dysregulation\", \"bbox\": [6, 142, 89, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"116.50\", \"bbox\": [185, 142, 209, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [222, 142, 246, 152]}, {\"cell\": \"91.24\", \"bbox\": [261, 142, 281, 152]}, {\"cell\": \"55.02\", \"bbox\": [294, 142, 314, 152]}, {\"cell\": \"0.000\", \"bbox\": [325, 142, 345, 152]}, {\"cell\": \"0.11\", \"bbox\": [367, 142, 383, 152]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5981929_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
ContrastgSAD (n = 29)HC (n = 27)t (df = 56)p
Accuracy
Attend Angry vs. Shapes85.6 ± 11.886.6 ± 10.9[EMPTY_CELL]0.76
Attend Fear vs. Shapes92.7 ± 9.190.7 ± 10.1[EMPTY_CELL]0.46
Attend Happy vs. Shapes90.8 ± 11.086.3 ± 14.2[EMPTY_CELL]0.19
Attend Shapes vs. Angry (distractor)94.1 ± 8.193.7 ± 8.0[EMPTY_CELL]0.84
Attend Shapes vs. Fear (distractor)90.1 ± 14.495.5 ± 7.6[EMPTY_CELL]0.09
Attend Shapes vs. Happy (distractor)91.2 ± 11.593.4 ± 7.5[EMPTY_CELL]0.42
Reaction Times
Attend Angry vs. Shapes1479.6 ± 405.81419.9 ± 219.5[EMPTY_CELL]0.50
Attend Fear vs. Shapes1337.9 ± 371.91285.7 ± 218.5[EMPTY_CELL]0.53
Attend Happy vs. Shapes1303.7 ± 340.41231.0 ± 207.4[EMPTY_CELL]0.34
Attend Shapes vs. Angry (distractor)1021.1 ± 273.5957.8 ± 122.4[EMPTY_CELL]0.27
Attend Shapes vs. Fear (distractor)985.4 ± 239.9946.2 ± 144.4[EMPTY_CELL]0.47
Attend Shapes vs. Happy (distractor)975.6 ± 236.4944.3 ± 157.7[EMPTY_CELL]0.57
\", \"cells\": [{\"cell\": \"Contrast\", \"bbox\": [1, 4, 32, 13]}, {\"cell\": \"gSAD (n = 29)\", \"bbox\": [174, 4, 223, 13]}, {\"cell\": \"HC (n = 27)\", \"bbox\": [278, 4, 318, 13]}, {\"cell\": \"t (df = 56)\", \"bbox\": [380, 4, 415, 13]}, {\"cell\": \"p\", \"bbox\": [470, 4, 476, 13]}, {\"cell\": \"Accuracy\", \"bbox\": [1, 17, 31, 27]}, {\"cell\": \"Attend Angry vs. Shapes\", \"bbox\": [1, 31, 81, 41]}, {\"cell\": \"85.6 ± 11.8\", \"bbox\": [174, 31, 209, 41]}, {\"cell\": \"86.6 ± 10.9\", \"bbox\": [278, 31, 313, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [380, 31, 395, 41]}, {\"cell\": \"0.76\", \"bbox\": [470, 31, 484, 41]}, {\"cell\": \"Attend Fear vs. Shapes\", \"bbox\": [1, 45, 75, 55]}, {\"cell\": \"92.7 ± 9.1\", \"bbox\": [174, 45, 205, 55]}, {\"cell\": \"90.7 ± 10.1\", \"bbox\": [278, 45, 313, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [380, 45, 395, 55]}, {\"cell\": \"0.46\", \"bbox\": [470, 45, 484, 55]}, {\"cell\": \"Attend Happy vs. Shapes\", \"bbox\": [1, 59, 83, 69]}, {\"cell\": \"90.8 ± 11.0\", \"bbox\": [174, 59, 209, 69]}, {\"cell\": \"86.3 ± 14.2\", \"bbox\": [278, 59, 313, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [380, 59, 395, 69]}, {\"cell\": \"0.19\", \"bbox\": [470, 59, 484, 69]}, {\"cell\": \"Attend Shapes vs. Angry (distractor)\", \"bbox\": [1, 73, 117, 83]}, {\"cell\": \"94.1 ± 8.1\", \"bbox\": [174, 73, 205, 83]}, {\"cell\": \"93.7 ± 8.0\", \"bbox\": [278, 73, 309, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [380, 73, 395, 83]}, {\"cell\": \"0.84\", \"bbox\": [470, 73, 484, 83]}, {\"cell\": \"Attend Shapes vs. Fear (distractor)\", \"bbox\": [1, 87, 111, 97]}, {\"cell\": \"90.1 ± 14.4\", \"bbox\": [174, 87, 209, 97]}, {\"cell\": \"95.5 ± 7.6\", \"bbox\": [278, 87, 309, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [380, 87, 395, 97]}, {\"cell\": \"0.09\", \"bbox\": [470, 87, 484, 97]}, {\"cell\": \"Attend Shapes vs. Happy (distractor)\", \"bbox\": [1, 101, 119, 111]}, {\"cell\": \"91.2 ± 11.5\", \"bbox\": [174, 101, 209, 111]}, {\"cell\": \"93.4 ± 7.5\", \"bbox\": [278, 101, 309, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [380, 101, 395, 111]}, {\"cell\": \"0.42\", \"bbox\": [470, 101, 484, 111]}, {\"cell\": \"Reaction Times\", \"bbox\": [1, 115, 51, 125]}, {\"cell\": \"Attend Angry vs. Shapes\", \"bbox\": [1, 129, 81, 139]}, {\"cell\": \"1479.6 ± 405.8\", \"bbox\": [174, 129, 221, 139]}, {\"cell\": \"1419.9 ± 219.5\", \"bbox\": [278, 129, 325, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [380, 129, 395, 139]}, {\"cell\": \"0.50\", \"bbox\": [470, 129, 484, 139]}, {\"cell\": \"Attend Fear vs. Shapes\", \"bbox\": [1, 143, 75, 153]}, {\"cell\": \"1337.9 ± 371.9\", \"bbox\": [174, 143, 221, 153]}, {\"cell\": \"1285.7 ± 218.5\", \"bbox\": [278, 143, 325, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [380, 143, 395, 153]}, {\"cell\": \"0.53\", \"bbox\": [470, 143, 484, 153]}, {\"cell\": \"Attend Happy vs. Shapes\", \"bbox\": [1, 157, 83, 167]}, {\"cell\": \"1303.7 ± 340.4\", \"bbox\": [174, 157, 221, 167]}, {\"cell\": \"1231.0 ± 207.4\", \"bbox\": [278, 157, 325, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [380, 157, 395, 167]}, {\"cell\": \"0.34\", \"bbox\": [470, 157, 484, 167]}, {\"cell\": \"Attend Shapes vs. Angry (distractor)\", \"bbox\": [1, 171, 117, 181]}, {\"cell\": \"1021.1 ± 273.5\", \"bbox\": [174, 171, 221, 181]}, {\"cell\": \"957.8 ± 122.4\", \"bbox\": [278, 171, 321, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [380, 171, 395, 181]}, {\"cell\": \"0.27\", \"bbox\": [470, 171, 484, 181]}, {\"cell\": \"Attend Shapes vs. Fear (distractor)\", \"bbox\": [1, 185, 111, 195]}, {\"cell\": \"985.4 ± 239.9\", \"bbox\": [174, 185, 217, 195]}, {\"cell\": \"946.2 ± 144.4\", \"bbox\": [278, 185, 321, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [380, 185, 395, 195]}, {\"cell\": \"0.47\", \"bbox\": [470, 185, 484, 195]}, {\"cell\": \"Attend Shapes vs. Happy (distractor)\", \"bbox\": [1, 199, 119, 209]}, {\"cell\": \"975.6 ± 236.4\", \"bbox\": [174, 199, 217, 209]}, {\"cell\": \"944.3 ± 157.7\", \"bbox\": [278, 199, 321, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [380, 199, 395, 209]}, {\"cell\": \"0.57\", \"bbox\": [470, 199, 484, 209]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3632493_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Convalescent Time point
All pneumonia cases (severe and very severe)
Total urinary arsenic (μg/L)Case convalescent urine samples (N = 153)Control urine samples (N = 296)Crude OR95 % CIAdjusted OR[EMPTY_CELL]
[EMPTY_CELL]No.%No.%[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
0–5.93020 %8529 %1.00[EMPTY_CELL]1.00Reference
6.0–14.94429 %6723 %1.86[EMPTY_CELL]2.101.16, 3.81
15.0–41.93925 %7224 %1.53[EMPTY_CELL]1.971.03, 3.79
Greater or equal to 42.04026 %7224 %1.57[EMPTY_CELL]2.031.04, 3.97
Only severe pneumonia cases (sensitivity analysis)
Total urinary arsenic (μg/L)Case convalescent urine samples (N = 135)Control urine samples (N = 296)Crude OR95 % CIAdjusted OR[EMPTY_CELL]
[EMPTY_CELL]No.%No.%[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
0–5.92418 %8529 %1.00[EMPTY_CELL]1.00Reference
6.0–14.93929 %6723 %2.06[EMPTY_CELL]2.301.22, 4.32
15.0–41.93828 %7224 %1.87[EMPTY_CELL]2.261.15, 4.46
Greater or equal to 42.03425 %7224 %1.67[EMPTY_CELL]2.091.03, 4.23
\", \"cells\": [{\"cell\": \"Convalescent Time point\", \"bbox\": [1, 4, 88, 13]}, {\"cell\": \"All pneumonia cases (severe and very severe)\", \"bbox\": [1, 17, 148, 27]}, {\"cell\": \"Total urinary arsenic (μg/L)\", \"bbox\": [1, 31, 88, 41]}, {\"cell\": \"Case convalescent urine samples (N = 153)\", \"bbox\": [93, 31, 223, 41]}, {\"cell\": \"Control urine samples (N = 296)\", \"bbox\": [228, 31, 325, 41]}, {\"cell\": \"Crude OR\", \"bbox\": [330, 31, 363, 41]}, {\"cell\": \"95 % CI\", \"bbox\": [370, 31, 397, 41]}, {\"cell\": \"Adjusted OR\", \"bbox\": [405, 31, 447, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [454, 31, 481, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No.\", \"bbox\": [116, 45, 129, 55]}, {\"cell\": \"%\", \"bbox\": [186, 45, 194, 55]}, {\"cell\": \"No.\", \"bbox\": [243, 45, 256, 55]}, {\"cell\": \"%\", \"bbox\": [297, 45, 305, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 0–5.9\", \"bbox\": [8, 59, 27, 69]}, {\"cell\": \"30\", \"bbox\": [118, 59, 128, 69]}, {\"cell\": \"20 %\", \"bbox\": [181, 59, 199, 69]}, {\"cell\": \"85\", \"bbox\": [245, 59, 255, 69]}, {\"cell\": \"29 %\", \"bbox\": [292, 59, 310, 69]}, {\"cell\": \"1.00\", \"bbox\": [339, 59, 354, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [367, 59, 400, 69]}, {\"cell\": \"1.00\", \"bbox\": [418, 59, 433, 69]}, {\"cell\": \"Reference\", \"bbox\": [451, 59, 484, 69]}, {\"cell\": \" 6.0–14.9\", \"bbox\": [8, 73, 36, 83]}, {\"cell\": \"44\", \"bbox\": [118, 73, 128, 83]}, {\"cell\": \"29 %\", \"bbox\": [181, 73, 199, 83]}, {\"cell\": \"67\", \"bbox\": [245, 73, 255, 83]}, {\"cell\": \"23 %\", \"bbox\": [292, 73, 310, 83]}, {\"cell\": \"1.86\", \"bbox\": [339, 73, 354, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [368, 73, 399, 83]}, {\"cell\": \"2.10\", \"bbox\": [418, 73, 433, 83]}, {\"cell\": \"1.16, 3.81\", \"bbox\": [452, 73, 483, 83]}, {\"cell\": \" 15.0–41.9\", \"bbox\": [8, 87, 40, 97]}, {\"cell\": \"39\", \"bbox\": [118, 87, 128, 97]}, {\"cell\": \"25 %\", \"bbox\": [181, 87, 199, 97]}, {\"cell\": \"72\", \"bbox\": [245, 87, 255, 97]}, {\"cell\": \"24 %\", \"bbox\": [292, 87, 310, 97]}, {\"cell\": \"1.53\", \"bbox\": [339, 87, 354, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [368, 87, 399, 97]}, {\"cell\": \"1.97\", \"bbox\": [418, 87, 433, 97]}, {\"cell\": \"1.03, 3.79\", \"bbox\": [452, 87, 483, 97]}, {\"cell\": \" Greater or equal to 42.0\", \"bbox\": [8, 101, 87, 111]}, {\"cell\": \"40\", \"bbox\": [118, 101, 128, 111]}, {\"cell\": \"26 %\", \"bbox\": [181, 101, 199, 111]}, {\"cell\": \"72\", \"bbox\": [245, 101, 255, 111]}, {\"cell\": \"24 %\", \"bbox\": [292, 101, 310, 111]}, {\"cell\": \"1.57\", \"bbox\": [339, 101, 354, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [368, 101, 399, 111]}, {\"cell\": \"2.03\", \"bbox\": [418, 101, 433, 111]}, {\"cell\": \"1.04, 3.97\", \"bbox\": [452, 101, 483, 111]}, {\"cell\": \"Only severe pneumonia cases (sensitivity analysis)\", \"bbox\": [0, 115, 162, 125]}, {\"cell\": \"Total urinary arsenic (μg/L)\", \"bbox\": [0, 129, 88, 139]}, {\"cell\": \"Case convalescent urine samples (N = 135)\", \"bbox\": [93, 129, 223, 139]}, {\"cell\": \"Control urine samples (N = 296)\", \"bbox\": [228, 129, 325, 139]}, {\"cell\": \"Crude OR\", \"bbox\": [330, 129, 363, 139]}, {\"cell\": \"95 % CI\", \"bbox\": [370, 129, 397, 139]}, {\"cell\": \"Adjusted OR\", \"bbox\": [405, 129, 447, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [454, 129, 481, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No.\", \"bbox\": [116, 143, 129, 153]}, {\"cell\": \"%\", \"bbox\": [186, 143, 194, 153]}, {\"cell\": \"No.\", \"bbox\": [243, 143, 256, 153]}, {\"cell\": \"%\", \"bbox\": [297, 143, 305, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 0–5.9\", \"bbox\": [8, 157, 27, 167]}, {\"cell\": \"24\", \"bbox\": [118, 157, 128, 167]}, {\"cell\": \"18 %\", \"bbox\": [181, 157, 199, 167]}, {\"cell\": \"85\", \"bbox\": [245, 157, 255, 167]}, {\"cell\": \"29 %\", \"bbox\": [292, 157, 310, 167]}, {\"cell\": \"1.00\", \"bbox\": [339, 157, 354, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [367, 157, 400, 167]}, {\"cell\": \"1.00\", \"bbox\": [418, 157, 433, 167]}, {\"cell\": \"Reference\", \"bbox\": [451, 157, 484, 167]}, {\"cell\": \" 6.0–14.9\", \"bbox\": [8, 171, 36, 181]}, {\"cell\": \"39\", \"bbox\": [118, 171, 128, 181]}, {\"cell\": \"29 %\", \"bbox\": [181, 171, 199, 181]}, {\"cell\": \"67\", \"bbox\": [245, 171, 255, 181]}, {\"cell\": \"23 %\", \"bbox\": [292, 171, 310, 181]}, {\"cell\": \"2.06\", \"bbox\": [339, 171, 354, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [368, 171, 399, 181]}, {\"cell\": \"2.30\", \"bbox\": [418, 171, 433, 181]}, {\"cell\": \"1.22, 4.32\", \"bbox\": [452, 171, 483, 181]}, {\"cell\": \" 15.0–41.9\", \"bbox\": [8, 185, 40, 195]}, {\"cell\": \"38\", \"bbox\": [118, 185, 128, 195]}, {\"cell\": \"28 %\", \"bbox\": [181, 185, 199, 195]}, {\"cell\": \"72\", \"bbox\": [245, 185, 255, 195]}, {\"cell\": \"24 %\", \"bbox\": [292, 185, 310, 195]}, {\"cell\": \"1.87\", \"bbox\": [339, 185, 354, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [368, 185, 399, 195]}, {\"cell\": \"2.26\", \"bbox\": [418, 185, 433, 195]}, {\"cell\": \"1.15, 4.46\", \"bbox\": [452, 185, 483, 195]}, {\"cell\": \" Greater or equal to 42.0\", \"bbox\": [8, 199, 87, 209]}, {\"cell\": \"34\", \"bbox\": [118, 199, 128, 209]}, {\"cell\": \"25 %\", \"bbox\": [181, 199, 199, 209]}, {\"cell\": \"72\", \"bbox\": [245, 199, 255, 209]}, {\"cell\": \"24 %\", \"bbox\": [292, 199, 310, 209]}, {\"cell\": \"1.67\", \"bbox\": [339, 199, 354, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [368, 199, 399, 209]}, {\"cell\": \"2.09\", \"bbox\": [418, 199, 433, 209]}, {\"cell\": \"1.03, 4.23\", \"bbox\": [452, 199, 483, 209]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4619558_006_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
GeneDirectionSequence (5′–3′)Amplicon size (bp)
AgactinForwardCTTCCTGCCATATATGATTGG[EMPTY_CELL]
[EMPTY_CELL]ReverseGCCAGCACCTCGATCTTCATG[EMPTY_CELL]
AgPALForwardAATAGACTTGAGGCATTTGGAGG[EMPTY_CELL]
[EMPTY_CELL]ReverseACAGAATCTTGAGGGATGGAGTT[EMPTY_CELL]
AgC4HForwardTCCTGATTTGGCTAAAGATGT[EMPTY_CELL]
[EMPTY_CELL]ReverseTCTTCCTCCAATGCTCACTAT[EMPTY_CELL]
AgC3HForwardAAGAGGAGCTGGACCGGGTAA[EMPTY_CELL]
[EMPTY_CELL]ReverseTTGGCACTGGCTTTGTGAGGG[EMPTY_CELL]
AgF5HForwardCTTCATTCTTCCGCTGCTTAGTT[EMPTY_CELL]
[EMPTY_CELL]ReverseTTTAGCCAGTCCACGATGAGATA[EMPTY_CELL]
Ag4CLForwardGGCAACTTCTGAAACATTGGTAG[EMPTY_CELL]
[EMPTY_CELL]ReverseGGACCTGGTATCCCTTGTACTTTAT[EMPTY_CELL]
AgHCTForwardTTACTTCCTCCACTCCCACCA[EMPTY_CELL]
[EMPTY_CELL]ReverseTAATCATTGTCCATCCGTGCC[EMPTY_CELL]
AgCOMTForwardGATGAGGGAAAGGTAGTTGTTGC[EMPTY_CELL]
[EMPTY_CELL]ReverseATAGGCGTCTAACTGAAGGACAG[EMPTY_CELL]
AgCCoAOMTForwardGGCTTCTAATGCTGAATCCAAAC[EMPTY_CELL]
[EMPTY_CELL]ReverseCTAAGCTCTTTCATTGCCTCTGG[EMPTY_CELL]
AgCCRForwardGCTGGGCTTTCTGGCTATTCT[EMPTY_CELL]
[EMPTY_CELL]ReverseTTGCTGCACATGCCTCGATTA[EMPTY_CELL]
AgCADForwardGGCTACATAGCATCATGGCTTGT[EMPTY_CELL]
[EMPTY_CELL]ReverseTGAAGTCTATCCTTGGCTCCCTC[EMPTY_CELL]
AgPODForwardTGTTGCTTTGGCGAATGGTCC[EMPTY_CELL]
[EMPTY_CELL]ReverseTAACATCCGGCATATCCTCTG[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Gene\", \"bbox\": [4, 5, 24, 16]}, {\"cell\": \"Direction\", \"bbox\": [130, 5, 162, 16]}, {\"cell\": \"Sequence (5′–3′)\", \"bbox\": [274, 5, 333, 16]}, {\"cell\": \"Amplicon size (bp)\", \"bbox\": [446, 5, 509, 16]}, {\"cell\": \"Agactin\", \"bbox\": [4, 21, 32, 32]}, {\"cell\": \"Forward\", \"bbox\": [130, 21, 161, 30]}, {\"cell\": \"CTTCCTGCCATATATGATTGG\", \"bbox\": [239, 21, 347, 30]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [469, 21, 486, 30]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Reverse\", \"bbox\": [130, 30, 158, 39]}, {\"cell\": \"GCCAGCACCTCGATCTTCATG\", \"bbox\": [239, 30, 353, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"AgPAL\", \"bbox\": [4, 40, 28, 51]}, {\"cell\": \"Forward\", \"bbox\": [130, 40, 161, 49]}, {\"cell\": \"AATAGACTTGAGGCATTTGGAGG\", \"bbox\": [239, 40, 365, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [469, 40, 486, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Reverse\", \"bbox\": [130, 49, 158, 58]}, {\"cell\": \"ACAGAATCTTGAGGGATGGAGTT\", \"bbox\": [239, 49, 365, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"AgC4H\", \"bbox\": [4, 59, 31, 70]}, {\"cell\": \"Forward\", \"bbox\": [130, 59, 161, 68]}, {\"cell\": \"TCCTGATTTGGCTAAAGATGT\", \"bbox\": [239, 59, 348, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [469, 59, 486, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Reverse\", \"bbox\": [130, 68, 158, 77]}, {\"cell\": \"TCTTCCTCCAATGCTCACTAT\", \"bbox\": [239, 68, 345, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"AgC3H\", \"bbox\": [4, 78, 31, 89]}, {\"cell\": \"Forward\", \"bbox\": [130, 78, 161, 87]}, {\"cell\": \"AAGAGGAGCTGGACCGGGTAA\", \"bbox\": [239, 78, 363, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [469, 78, 486, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Reverse\", \"bbox\": [130, 87, 158, 96]}, {\"cell\": \"TTGGCACTGGCTTTGTGAGGG\", \"bbox\": [239, 87, 353, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"AgF5H\", \"bbox\": [4, 97, 29, 107]}, {\"cell\": \"Forward\", \"bbox\": [130, 97, 161, 106]}, {\"cell\": \"CTTCATTCTTCCGCTGCTTAGTT\", \"bbox\": [239, 97, 352, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [469, 97, 486, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Reverse\", \"bbox\": [130, 106, 158, 115]}, {\"cell\": \"TTTAGCCAGTCCACGATGAGATA\", \"bbox\": [239, 106, 363, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ag4CL\", \"bbox\": [4, 116, 29, 126]}, {\"cell\": \"Forward\", \"bbox\": [130, 116, 161, 125]}, {\"cell\": \"GGCAACTTCTGAAACATTGGTAG\", \"bbox\": [239, 116, 364, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [469, 116, 486, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Reverse\", \"bbox\": [130, 125, 158, 134]}, {\"cell\": \"GGACCTGGTATCCCTTGTACTTTAT\", \"bbox\": [239, 125, 367, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"AgHCT\", \"bbox\": [4, 135, 30, 145]}, {\"cell\": \"Forward\", \"bbox\": [130, 135, 161, 143]}, {\"cell\": \"TTACTTCCTCCACTCCCACCA\", \"bbox\": [239, 135, 348, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [469, 135, 486, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Reverse\", \"bbox\": [130, 144, 158, 153]}, {\"cell\": \"TAATCATTGTCCATCCGTGCC\", \"bbox\": [239, 144, 348, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"AgCOMT\", \"bbox\": [4, 154, 38, 164]}, {\"cell\": \"Forward\", \"bbox\": [130, 154, 161, 162]}, {\"cell\": \"GATGAGGGAAAGGTAGTTGTTGC\", \"bbox\": [239, 154, 367, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [474, 154, 486, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Reverse\", \"bbox\": [130, 163, 158, 172]}, {\"cell\": \"ATAGGCGTCTAACTGAAGGACAG\", \"bbox\": [239, 163, 368, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"AgCCoAOMT\", \"bbox\": [4, 173, 53, 183]}, {\"cell\": \"Forward\", \"bbox\": [130, 173, 161, 181]}, {\"cell\": \"GGCTTCTAATGCTGAATCCAAAC\", \"bbox\": [239, 173, 362, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [469, 173, 486, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Reverse\", \"bbox\": [130, 182, 158, 191]}, {\"cell\": \"CTAAGCTCTTTCATTGCCTCTGG\", \"bbox\": [239, 182, 357, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"AgCCR\", \"bbox\": [4, 192, 30, 202]}, {\"cell\": \"Forward\", \"bbox\": [130, 191, 161, 200]}, {\"cell\": \"GCTGGGCTTTCTGGCTATTCT\", \"bbox\": [239, 191, 347, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [474, 191, 486, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Reverse\", \"bbox\": [130, 201, 158, 210]}, {\"cell\": \"TTGCTGCACATGCCTCGATTA\", \"bbox\": [239, 201, 349, 210]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"AgCAD\", \"bbox\": [4, 211, 32, 221]}, {\"cell\": \"Forward\", \"bbox\": [130, 210, 161, 219]}, {\"cell\": \"GGCTACATAGCATCATGGCTTGT\", \"bbox\": [239, 210, 362, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [469, 210, 486, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Reverse\", \"bbox\": [130, 220, 158, 229]}, {\"cell\": \"TGAAGTCTATCCTTGGCTCCCTC\", \"bbox\": [239, 220, 359, 229]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"AgPOD\", \"bbox\": [4, 230, 32, 240]}, {\"cell\": \"Forward\", \"bbox\": [130, 229, 161, 238]}, {\"cell\": \"TGTTGCTTTGGCGAATGGTCC\", \"bbox\": [239, 229, 350, 238]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [474, 229, 486, 238]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Reverse\", \"bbox\": [130, 239, 158, 248]}, {\"cell\": \"TAACATCCGGCATATCCTCTG\", \"bbox\": [239, 239, 350, 248]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4317703_011_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Population/exposureNonexposed to endotoxin-related activitiesaExposed to endotoxin-related activitiesap for interactiond
Casesb (n)RRc (95% CI)Casesb(n)RRc (95% CI)
Farmers
Diesel tractors
No/lowe721.00107 [EMPTY_CELL]0.63
Intermediatef100.99 (0.50, 1.93)41[EMPTY_CELL]
Highg6 1.83 (0.79, 4.25)29[EMPTY_CELL]
Gasoline tractors
No/lowe82 1.00155 [EMPTY_CELL]0.33
Intermediatef/highg6 1.63 (0.71, 3.75)19 [EMPTY_CELL]
Combines or other types of crop harvesters
0 day491.0038[EMPTY_CELL]0.43
1–30 days33 1.38 (0.88, 2.17)113 [EMPTY_CELL]
≥ 31 days6 0.80 (0.34, 1.89)24 [EMPTY_CELL]
Trucks
No/lowe641.00129 [EMPTY_CELL]0.50
Intermediatef40.70 (0.25, 1.91)11[EMPTY_CELL]
Highg180.84 (0.49, 1.41)34[EMPTY_CELL]
Spouses
Diesel tractors
No/< monthly 75 1.0046 [EMPTY_CELL]0.01
≥ Monthly19 1.24 (0.75, 2.07)15 [EMPTY_CELL]
Gasoline tractors
No/< monthly 82 1.00 46[EMPTY_CELL]0.16
≥ Monthly13 0.93 (0.52, 1.67)14 [EMPTY_CELL]
Combines or other types of crop harvesters
0 day941.0055[EMPTY_CELL]0.66
≥ 1 day50.87 (0.35, 2.13)7 [EMPTY_CELL]
Trucks
No/< monthly721.0036 [EMPTY_CELL]0.78
≥ Monthly230.86 (0.53, 1.37)24 [EMPTY_CELL]
aEndotoxin-related activities were defined by current exposure to animals or stored grain in farmers and exposure to farm animals in the year before enrollment in spouses. bCase counts do not sum to total counts because of missing values for exposure variables. cFor farmers: rate ratios were adjusted for age, cigarette pack-years (non-smokers, < 20, 20–39, 40–59, ≥ 60, missing), state, race, and level of education; for spouses: rate ratios were adjusted for age, pack-years (non-smokers, < 20, 20–39, ≥ 40, missing), and level of education. dp for interaction was obtained from the likelihood ratio test by adding cross-product terms between each category of exposure and the variable reflecting potential exposure to endotoxins. eNo or low exposure was defined by driving < daily in one season. fIntermediate exposure: daily driving in one season. gHigh exposure: daily driving in both seasons.
\", \"cells\": [{\"cell\": \"Population/exposure\", \"bbox\": [3, 34, 64, 43]}, {\"cell\": \"Nonexposed to endotoxin-related activitiesa\", \"bbox\": [131, 3, 215, 22]}, {\"cell\": \"Exposed to endotoxin-related activitiesa\", \"bbox\": [219, 3, 302, 22]}, {\"cell\": \"p for interactiond\", \"bbox\": [305, 25, 341, 43]}, {\"cell\": \"Casesb (n)\", \"bbox\": [131, 24, 153, 43]}, {\"cell\": \"RRc (95% CI)\", \"bbox\": [167, 33, 205, 43]}, {\"cell\": \"Casesb(n)\", \"bbox\": [219, 24, 241, 43]}, {\"cell\": \"RRc (95% CI)\", \"bbox\": [254, 33, 292, 43]}, {\"cell\": \"Farmers\", \"bbox\": [3, 45, 28, 55]}, {\"cell\": \"Diesel tractors\", \"bbox\": [3, 55, 47, 64]}, {\"cell\": \"No/lowe\", \"bbox\": [7, 63, 33, 74]}, {\"cell\": \"72\", \"bbox\": [139, 64, 148, 74]}, {\"cell\": \"1.00\", \"bbox\": [179, 64, 193, 74]}, {\"cell\": \"107 \", \"bbox\": [224, 64, 237, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [266, 64, 280, 74]}, {\"cell\": \"0.63\", \"bbox\": [315, 64, 329, 74]}, {\"cell\": \"Intermediatef\", \"bbox\": [6, 72, 47, 83]}, {\"cell\": \"10\", \"bbox\": [139, 73, 148, 83]}, {\"cell\": \"0.99 (0.50, 1.93)\", \"bbox\": [162, 73, 210, 83]}, {\"cell\": \"41\", \"bbox\": [227, 73, 237, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [249, 73, 297, 83]}, {\"cell\": \"Highg\", \"bbox\": [6, 82, 24, 92]}, {\"cell\": \"6 \", \"bbox\": [142, 83, 148, 92]}, {\"cell\": \"1.83 (0.79, 4.25)\", \"bbox\": [162, 83, 210, 92]}, {\"cell\": \"29\", \"bbox\": [227, 83, 237, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [249, 83, 297, 92]}, {\"cell\": \"Gasoline tractors\", \"bbox\": [2, 92, 54, 101]}, {\"cell\": \"No/lowe\", \"bbox\": [6, 100, 33, 111]}, {\"cell\": \"82 \", \"bbox\": [139, 101, 148, 111]}, {\"cell\": \"1.00\", \"bbox\": [179, 101, 193, 111]}, {\"cell\": \"155 \", \"bbox\": [224, 101, 237, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [266, 101, 280, 111]}, {\"cell\": \"0.33\", \"bbox\": [315, 101, 329, 111]}, {\"cell\": \"Intermediatef/highg\", \"bbox\": [6, 110, 65, 120]}, {\"cell\": \"6 \", \"bbox\": [142, 110, 148, 120]}, {\"cell\": \"1.63 (0.71, 3.75)\", \"bbox\": [162, 110, 210, 120]}, {\"cell\": \"19 \", \"bbox\": [227, 110, 237, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [249, 110, 297, 120]}, {\"cell\": \"Combines or other types of crop harvesters\", \"bbox\": [2, 120, 128, 129]}, {\"cell\": \"0 day\", \"bbox\": [6, 129, 24, 139]}, {\"cell\": \"49\", \"bbox\": [139, 129, 148, 139]}, {\"cell\": \"1.00\", \"bbox\": [179, 129, 193, 139]}, {\"cell\": \"38\", \"bbox\": [227, 129, 237, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [266, 129, 280, 139]}, {\"cell\": \"0.43\", \"bbox\": [315, 129, 329, 139]}, {\"cell\": \"1–30 days\", \"bbox\": [6, 138, 38, 148]}, {\"cell\": \"33 \", \"bbox\": [139, 138, 148, 148]}, {\"cell\": \"1.38 (0.88, 2.17)\", \"bbox\": [162, 138, 210, 148]}, {\"cell\": \"113 \", \"bbox\": [224, 138, 237, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [249, 138, 297, 148]}, {\"cell\": \"≥ 31 days\", \"bbox\": [6, 148, 36, 157]}, {\"cell\": \"6 \", \"bbox\": [142, 148, 148, 157]}, {\"cell\": \"0.80 (0.34, 1.89)\", \"bbox\": [162, 148, 210, 157]}, {\"cell\": \"24 \", \"bbox\": [227, 148, 237, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [249, 148, 297, 157]}, {\"cell\": \"Trucks\", \"bbox\": [2, 157, 23, 166]}, {\"cell\": \"No/lowe\", \"bbox\": [6, 165, 33, 176]}, {\"cell\": \"64\", \"bbox\": [139, 166, 148, 176]}, {\"cell\": \"1.00\", \"bbox\": [179, 166, 193, 176]}, {\"cell\": \"129 \", \"bbox\": [224, 166, 237, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [266, 166, 280, 176]}, {\"cell\": \"0.50\", \"bbox\": [315, 166, 329, 176]}, {\"cell\": \"Intermediatef\", \"bbox\": [6, 175, 47, 185]}, {\"cell\": \"4\", \"bbox\": [142, 176, 148, 185]}, {\"cell\": \"0.70 (0.25, 1.91)\", \"bbox\": [162, 176, 210, 185]}, {\"cell\": \"11\", \"bbox\": [227, 176, 237, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [249, 176, 297, 185]}, {\"cell\": \"Highg\", \"bbox\": [6, 184, 24, 194]}, {\"cell\": \"18\", \"bbox\": [139, 185, 148, 194]}, {\"cell\": \"0.84 (0.49, 1.41)\", \"bbox\": [162, 185, 210, 194]}, {\"cell\": \"34\", \"bbox\": [227, 185, 237, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [249, 185, 297, 194]}, {\"cell\": \"Spouses\", \"bbox\": [2, 194, 29, 204]}, {\"cell\": \"Diesel tractors\", \"bbox\": [2, 203, 47, 213]}, {\"cell\": \"No/< monthly \", \"bbox\": [6, 213, 48, 222]}, {\"cell\": \"75 \", \"bbox\": [139, 213, 148, 222]}, {\"cell\": \"1.00\", \"bbox\": [179, 213, 193, 222]}, {\"cell\": \"46 \", \"bbox\": [227, 213, 237, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [266, 213, 280, 222]}, {\"cell\": \"0.01\", \"bbox\": [315, 213, 329, 222]}, {\"cell\": \"≥ Monthly\", \"bbox\": [6, 222, 38, 231]}, {\"cell\": \"19 \", \"bbox\": [139, 222, 148, 231]}, {\"cell\": \"1.24 (0.75, 2.07)\", \"bbox\": [162, 222, 210, 231]}, {\"cell\": \"15 \", \"bbox\": [227, 222, 237, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [249, 222, 297, 231]}, {\"cell\": \"Gasoline tractors\", \"bbox\": [2, 231, 54, 241]}, {\"cell\": \"No/< monthly \", \"bbox\": [6, 241, 48, 250]}, {\"cell\": \"82 \", \"bbox\": [139, 241, 148, 250]}, {\"cell\": \"1.00 \", \"bbox\": [179, 241, 193, 250]}, {\"cell\": \"46\", \"bbox\": [227, 241, 237, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [266, 241, 280, 250]}, {\"cell\": \"0.16\", \"bbox\": [315, 241, 329, 250]}, {\"cell\": \"≥ Monthly\", \"bbox\": [6, 250, 38, 259]}, {\"cell\": \"13 \", \"bbox\": [139, 250, 148, 259]}, {\"cell\": \"0.93 (0.52, 1.67)\", \"bbox\": [162, 250, 210, 259]}, {\"cell\": \"14 \", \"bbox\": [227, 250, 237, 259]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [249, 250, 297, 259]}, {\"cell\": \"Combines or other types of crop harvesters\", \"bbox\": [2, 259, 128, 269]}, {\"cell\": \"0 day\", \"bbox\": [6, 268, 24, 278]}, {\"cell\": \"94\", \"bbox\": [139, 268, 148, 278]}, {\"cell\": \"1.00\", \"bbox\": [179, 268, 193, 278]}, {\"cell\": \"55\", \"bbox\": [227, 268, 237, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [266, 268, 280, 278]}, {\"cell\": \"0.66\", \"bbox\": [315, 268, 329, 278]}, {\"cell\": \"≥ 1 day\", \"bbox\": [6, 278, 30, 287]}, {\"cell\": \"5\", \"bbox\": [142, 278, 148, 287]}, {\"cell\": \"0.87 (0.35, 2.13)\", \"bbox\": [162, 278, 210, 287]}, {\"cell\": \"7 \", \"bbox\": [231, 278, 237, 287]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [249, 278, 297, 287]}, {\"cell\": \"Trucks\", \"bbox\": [2, 287, 23, 296]}, {\"cell\": \"No/< monthly\", \"bbox\": [6, 296, 48, 306]}, {\"cell\": \"72\", \"bbox\": [139, 296, 148, 306]}, {\"cell\": \"1.00\", \"bbox\": [179, 296, 193, 306]}, {\"cell\": \"36 \", \"bbox\": [227, 296, 237, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [266, 296, 280, 306]}, {\"cell\": \"0.78\", \"bbox\": [315, 296, 329, 306]}, {\"cell\": \"≥ Monthly\", \"bbox\": [6, 306, 38, 315]}, {\"cell\": \"23\", \"bbox\": [139, 306, 148, 315]}, {\"cell\": \"0.86 (0.53, 1.37)\", \"bbox\": [162, 306, 210, 315]}, {\"cell\": \"24 \", \"bbox\": [227, 306, 237, 315]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [249, 306, 297, 315]}, {\"cell\": \"aEndotoxin-related activities were defined by current exposure to animals or stored grain in farmers and exposure to farm animals in the year before enrollment in spouses. bCase counts do not sum to total counts because of missing values for exposure variables. cFor farmers: rate ratios were adjusted for age, cigarette pack-years (non-smokers, < 20, 20–39, 40–59, ≥ 60, missing), state, race, and level of education; for spouses: rate ratios were adjusted for age, pack-years (non-smokers, < 20, 20–39, ≥ 40, missing), and level of education. dp for interaction was obtained from the likelihood ratio test by adding cross-product terms between each category of exposure and the variable reflecting potential exposure to endotoxins. eNo or low exposure was defined by driving < daily in one season. fIntermediate exposure: daily driving in one season. gHigh exposure: daily driving in both seasons. \", \"bbox\": [2, 318, 341, 383]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4858397_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]NumberPercent
Age
18–34[EMPTY_CELL]7.3
35–49[EMPTY_CELL]33.8
50–64[EMPTY_CELL]44.7
65+[EMPTY_CELL]14.2
Education
Secondary/non-university tertiary or below[EMPTY_CELL]54.3
University educated[EMPTY_CELL]45.6
Residential location
Inner city[EMPTY_CELL]62.4
Suburban[EMPTY_CELL]16.6
Regional/rural[EMPTY_CELL]21.1
Year first tested positive for HIV
1980–1995[EMPTY_CELL]22.6
1996–2009[EMPTY_CELL]38.3
2010–2017[EMPTY_CELL]37.0
Year started treatment
1980–1995[EMPTY_CELL]10.8
1996–2009[EMPTY_CELL]37.4
2010–2017[EMPTY_CELL]47.3
Treatment status
Currently taking ART[EMPTY_CELL]96.1
Not taking ART[EMPTY_CELL]3.7
Most recent viral load test
Undetectable[EMPTY_CELL]92.9
Detectable[EMPTY_CELL]5.4
[EMPTY_CELL][EMPTY_CELL](SD)Possible range
SF-36 PCS[EMPTY_CELL](11.68)N(50, 10)
SF-36 MCS[EMPTY_CELL](13.42)N(50, 10)
FAHI[EMPTY_CELL](0.82)1–5
K6[EMPTY_CELL](1.00)1–5
S-WEMWBS[EMPTY_CELL](0.87)1–5
SWLS[EMPTY_CELL](1.69)1–7
BRS[EMPTY_CELL](0.93)1–5
IA-RSS[EMPTY_CELL](0.37)0–1
ISEL-12[EMPTY_CELL](0.77)1–4
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Number\", \"bbox\": [171, 4, 200, 13]}, {\"cell\": \"Percent\", \"bbox\": [210, 4, 236, 13]}, {\"cell\": \"Age\", \"bbox\": [1, 17, 15, 27]}, {\"cell\": \" 18–34\", \"bbox\": [8, 31, 30, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 31, 181, 41]}, {\"cell\": \"7.3\", \"bbox\": [210, 31, 221, 41]}, {\"cell\": \" 35–49\", \"bbox\": [8, 45, 30, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 45, 185, 55]}, {\"cell\": \"33.8\", \"bbox\": [210, 45, 225, 55]}, {\"cell\": \" 50–64\", \"bbox\": [8, 59, 30, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 59, 185, 69]}, {\"cell\": \"44.7\", \"bbox\": [210, 59, 225, 69]}, {\"cell\": \" 65+\", \"bbox\": [8, 73, 23, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 73, 181, 83]}, {\"cell\": \"14.2\", \"bbox\": [210, 73, 225, 83]}, {\"cell\": \"Education\", \"bbox\": [1, 87, 34, 97]}, {\"cell\": \" Secondary/non-university tertiary or below\", \"bbox\": [8, 101, 147, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 101, 185, 111]}, {\"cell\": \"54.3\", \"bbox\": [210, 101, 225, 111]}, {\"cell\": \" University educated\", \"bbox\": [8, 115, 74, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 115, 185, 125]}, {\"cell\": \"45.6\", \"bbox\": [210, 115, 225, 125]}, {\"cell\": \"Residential location\", \"bbox\": [1, 129, 65, 139]}, {\"cell\": \" Inner city\", \"bbox\": [8, 143, 40, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 143, 185, 153]}, {\"cell\": \"62.4\", \"bbox\": [210, 143, 225, 153]}, {\"cell\": \" Suburban\", \"bbox\": [8, 157, 41, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 157, 181, 167]}, {\"cell\": \"16.6\", \"bbox\": [210, 157, 225, 167]}, {\"cell\": \" Regional/rural\", \"bbox\": [8, 171, 55, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 171, 181, 181]}, {\"cell\": \"21.1\", \"bbox\": [210, 171, 225, 181]}, {\"cell\": \"Year first tested positive for HIV\", \"bbox\": [1, 185, 103, 195]}, {\"cell\": \" 1980–1995\", \"bbox\": [8, 199, 45, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 199, 185, 209]}, {\"cell\": \"22.6\", \"bbox\": [210, 199, 225, 209]}, {\"cell\": \" 1996–2009\", \"bbox\": [8, 213, 45, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 213, 185, 223]}, {\"cell\": \"38.3\", \"bbox\": [210, 213, 225, 223]}, {\"cell\": \" 2010–2017\", \"bbox\": [8, 227, 45, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 227, 185, 237]}, {\"cell\": \"37.0\", \"bbox\": [210, 227, 225, 237]}, {\"cell\": \"Year started treatment\", \"bbox\": [1, 241, 74, 251]}, {\"cell\": \" 1980–1995\", \"bbox\": [8, 255, 45, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 255, 181, 265]}, {\"cell\": \"10.8\", \"bbox\": [210, 255, 225, 265]}, {\"cell\": \" 1996–2009\", \"bbox\": [8, 269, 45, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 269, 185, 279]}, {\"cell\": \"37.4\", \"bbox\": [210, 269, 225, 279]}, {\"cell\": \" 2010–2017\", \"bbox\": [8, 283, 45, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 283, 185, 293]}, {\"cell\": \"47.3\", \"bbox\": [210, 283, 225, 293]}, {\"cell\": \"Treatment status\", \"bbox\": [1, 297, 56, 307]}, {\"cell\": \" Currently taking ART\", \"bbox\": [8, 311, 76, 321]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 311, 185, 321]}, {\"cell\": \"96.1\", \"bbox\": [210, 311, 225, 321]}, {\"cell\": \" Not taking ART\", \"bbox\": [8, 325, 59, 335]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 325, 181, 335]}, {\"cell\": \"3.7\", \"bbox\": [210, 325, 221, 335]}, {\"cell\": \"Most recent viral load test\", \"bbox\": [1, 339, 86, 349]}, {\"cell\": \" Undetectable\", \"bbox\": [8, 353, 53, 363]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 353, 185, 363]}, {\"cell\": \"92.9\", \"bbox\": [210, 353, 225, 363]}, {\"cell\": \" Detectable\", \"bbox\": [8, 367, 45, 377]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 367, 181, 377]}, {\"cell\": \"5.4\", \"bbox\": [210, 367, 221, 377]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [69, 381, 89, 391]}, {\"cell\": \"(SD)\", \"bbox\": [119, 381, 134, 391]}, {\"cell\": \"Possible range\", \"bbox\": [171, 381, 220, 391]}, {\"cell\": \"SF-36 PCS\", \"bbox\": [1, 395, 34, 405]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [69, 395, 88, 405]}, {\"cell\": \"(11.68)\", \"bbox\": [119, 395, 141, 405]}, {\"cell\": \"N(50, 10)\", \"bbox\": [171, 395, 202, 405]}, {\"cell\": \"SF-36 MCS\", \"bbox\": [1, 409, 36, 419]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [69, 409, 88, 419]}, {\"cell\": \"(13.42)\", \"bbox\": [119, 409, 141, 419]}, {\"cell\": \"N(50, 10)\", \"bbox\": [171, 409, 202, 419]}, {\"cell\": \"FAHI\", \"bbox\": [1, 423, 17, 433]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [69, 423, 84, 433]}, {\"cell\": \"(0.82)\", \"bbox\": [119, 423, 138, 433]}, {\"cell\": \"1–5\", \"bbox\": [171, 423, 185, 433]}, {\"cell\": \"K6\", \"bbox\": [1, 437, 10, 447]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [69, 437, 84, 447]}, {\"cell\": \"(1.00)\", \"bbox\": [119, 437, 138, 447]}, {\"cell\": \"1–5\", \"bbox\": [171, 437, 185, 447]}, {\"cell\": \"S-WEMWBS\", \"bbox\": [1, 451, 39, 461]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [69, 451, 84, 461]}, {\"cell\": \"(0.87)\", \"bbox\": [119, 451, 138, 461]}, {\"cell\": \"1–5\", \"bbox\": [171, 451, 185, 461]}, {\"cell\": \"SWLS\", \"bbox\": [1, 465, 20, 475]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [69, 465, 84, 475]}, {\"cell\": \"(1.69)\", \"bbox\": [119, 465, 138, 475]}, {\"cell\": \"1–7\", \"bbox\": [171, 465, 185, 475]}, {\"cell\": \"BRS\", \"bbox\": [1, 479, 14, 489]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [69, 479, 84, 489]}, {\"cell\": \"(0.93)\", \"bbox\": [119, 479, 138, 489]}, {\"cell\": \"1–5\", \"bbox\": [171, 479, 185, 489]}, {\"cell\": \"IA-RSS\", \"bbox\": [1, 493, 22, 503]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [69, 493, 84, 503]}, {\"cell\": \"(0.37)\", \"bbox\": [119, 493, 138, 503]}, {\"cell\": \"0–1\", \"bbox\": [171, 493, 185, 503]}, {\"cell\": \"ISEL-12\", \"bbox\": [1, 507, 25, 517]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [69, 507, 84, 517]}, {\"cell\": \"(0.77)\", \"bbox\": [119, 507, 138, 517]}, {\"cell\": \"1–4\", \"bbox\": [171, 507, 185, 517]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5910603_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Main Role
ScopeStrategic decision/policy makerManager/CoordinatorConsultantResearch & AnalysisFront-Line Responder/Patient Care/ClinicalOther
Canadian Participants
North American or National3 (4.5%)6 (9%)-9 (13.6%)[EMPTY_CELL]2 (3.0%)
Provincial/Territorial1 (1.5%)3 (4.5%)4 (6.1%)6 (9.1%)[EMPTY_CELL]2 (3.0%)
Local/Regional2 (3.0%)7 (10.6%)1 (1.5%)17 (25.8%)[EMPTY_CELL]1 (1.5%)
Totals6 (9.1%)16 (24.2%)5 (7.6%)32 (48.5%)[EMPTY_CELL]5 (7.6%)
UK Participants
European or National1 (3.6%)1 (3.6%)-1 (3.6%)[EMPTY_CELL]-
Regional2 (7.1%)1 (3.6%)2 (7.1%)12 (42.9%)[EMPTY_CELL]-
Local2 (7.1%)--4 (14.3%)[EMPTY_CELL]1 (3.6%)
Totals5 (17.9%)2 (7.1%)2 (7.1%)17 (60.7%)[EMPTY_CELL]1 (3.6%)
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Main Role\", \"bbox\": [270, 5, 310, 14]}, {\"cell\": \"Scope\", \"bbox\": [4, 27, 30, 36]}, {\"cell\": \"Strategic decision/policy maker\", \"bbox\": [86, 27, 159, 46]}, {\"cell\": \"Manager/Coordinator\", \"bbox\": [178, 27, 228, 46]}, {\"cell\": \"Consultant\", \"bbox\": [243, 27, 288, 36]}, {\"cell\": \"Research & Analysis\", \"bbox\": [305, 27, 350, 46]}, {\"cell\": \"Front-Line Responder/Patient Care/Clinical\", \"bbox\": [369, 27, 458, 46]}, {\"cell\": \"Other\", \"bbox\": [468, 27, 494, 36]}, {\"cell\": \"Canadian Participants\", \"bbox\": [208, 58, 294, 68]}, {\"cell\": \"North American or National\", \"bbox\": [4, 81, 72, 99]}, {\"cell\": \"3 (4.5%)\", \"bbox\": [108, 81, 137, 90]}, {\"cell\": \"6 (9%)\", \"bbox\": [191, 81, 214, 90]}, {\"cell\": \"-\", \"bbox\": [263, 81, 268, 90]}, {\"cell\": \"9 (13.6%)\", \"bbox\": [311, 81, 344, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [398, 81, 428, 90]}, {\"cell\": \"2 (3.0%)\", \"bbox\": [466, 81, 496, 90]}, {\"cell\": \"Provincial/Territorial\", \"bbox\": [4, 100, 76, 110]}, {\"cell\": \"1 (1.5%)\", \"bbox\": [108, 100, 137, 110]}, {\"cell\": \"3 (4.5%)\", \"bbox\": [188, 100, 217, 110]}, {\"cell\": \"4 (6.1%)\", \"bbox\": [251, 100, 280, 110]}, {\"cell\": \"6 (9.1%)\", \"bbox\": [313, 100, 342, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [411, 100, 415, 110]}, {\"cell\": \"2 (3.0%)\", \"bbox\": [466, 100, 496, 110]}, {\"cell\": \"Local/Regional\", \"bbox\": [4, 110, 55, 120]}, {\"cell\": \"2 (3.0%)\", \"bbox\": [108, 110, 137, 120]}, {\"cell\": \"7 (10.6%)\", \"bbox\": [186, 110, 220, 120]}, {\"cell\": \"1 (1.5%)\", \"bbox\": [251, 110, 280, 120]}, {\"cell\": \"17 (25.8%)\", \"bbox\": [309, 110, 346, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [398, 110, 428, 120]}, {\"cell\": \"1 (1.5%)\", \"bbox\": [466, 110, 496, 120]}, {\"cell\": \"Totals\", \"bbox\": [4, 133, 31, 142]}, {\"cell\": \"6 (9.1%)\", \"bbox\": [106, 133, 139, 142]}, {\"cell\": \"16 (24.2%)\", \"bbox\": [182, 133, 224, 142]}, {\"cell\": \"5 (7.6%)\", \"bbox\": [250, 133, 282, 142]}, {\"cell\": \"32 (48.5%)\", \"bbox\": [307, 133, 349, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [397, 133, 429, 142]}, {\"cell\": \"5 (7.6%)\", \"bbox\": [465, 133, 497, 142]}, {\"cell\": \"UK Participants\", \"bbox\": [219, 155, 283, 164]}, {\"cell\": \"European or National\", \"bbox\": [4, 177, 48, 196]}, {\"cell\": \"1 (3.6%)\", \"bbox\": [108, 177, 137, 187]}, {\"cell\": \"1 (3.6%)\", \"bbox\": [188, 177, 218, 187]}, {\"cell\": \"-\", \"bbox\": [263, 177, 268, 187]}, {\"cell\": \"1 (3.6%)\", \"bbox\": [313, 177, 342, 187]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [411, 177, 415, 187]}, {\"cell\": \"-\", \"bbox\": [479, 177, 483, 187]}, {\"cell\": \"Regional\", \"bbox\": [4, 197, 35, 206]}, {\"cell\": \"2 (7.1%)\", \"bbox\": [108, 197, 137, 206]}, {\"cell\": \"1 (3.6%)\", \"bbox\": [188, 197, 217, 206]}, {\"cell\": \"2 (7.1%)\", \"bbox\": [251, 197, 280, 206]}, {\"cell\": \"12 (42.9%)\", \"bbox\": [309, 197, 346, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [411, 197, 415, 206]}, {\"cell\": \"-\", \"bbox\": [479, 197, 484, 206]}, {\"cell\": \"Local\", \"bbox\": [4, 207, 24, 216]}, {\"cell\": \"2 (7.1%)\", \"bbox\": [108, 207, 137, 216]}, {\"cell\": \"-\", \"bbox\": [200, 207, 205, 216]}, {\"cell\": \"-\", \"bbox\": [263, 207, 268, 216]}, {\"cell\": \"4 (14.3%)\", \"bbox\": [311, 207, 344, 216]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [411, 207, 415, 216]}, {\"cell\": \"1 (3.6%)\", \"bbox\": [466, 207, 496, 216]}, {\"cell\": \"Totals\", \"bbox\": [4, 229, 31, 239]}, {\"cell\": \"5 (17.9%)\", \"bbox\": [104, 229, 141, 239]}, {\"cell\": \"2 (7.1%)\", \"bbox\": [187, 229, 219, 239]}, {\"cell\": \"2 (7.1%)\", \"bbox\": [250, 229, 282, 239]}, {\"cell\": \"17 (60.7%)\", \"bbox\": [307, 229, 348, 239]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [397, 229, 429, 239]}, {\"cell\": \"1 (3.6%)\", \"bbox\": [465, 229, 497, 239]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2396622_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
GroupsSHiSHf% Hardness Loss
[EMPTY_CELL]329.92 (±35.81)253.90 (±45.15)23.24 (±8.436)a
[EMPTY_CELL]337.58 (±28.41)310.80 (±34.58)7.89 (±7.5)b
[EMPTY_CELL]334.16 (±26.88)250.92 (±37.49)24.65 (±11.50)a
[EMPTY_CELL]336.24 (±30.50)240.26 (±48.45)28.47 (±13.37)a
[EMPTY_CELL]341.19 (±31.87)241.90 (±37.23)28.74 (±11.53)a
[EMPTY_CELL]337.85 (±29.91)248.89 (±43.01)26.56 (±9.51)a
[EMPTY_CELL]335.76 (±26.05)259.23 (±50.07)22.92 (±12.94)a
[EMPTY_CELL]338.51 (±27.63)265.02 (±55.67)21.78 (±14.83)ab
[EMPTY_CELL]337.27(±32.29)252.81 (±57.71)25.35 (±12.76)a
[EMPTY_CELL]337.36 (±29.49)249.86 (±46.95)25.91(±12.51)a
[EMPTY_CELL]335.45 (±29.71)240.90 (±38.02)28.09 (±9.95)a
[EMPTY_CELL]337.19 (±28.92)256.44 (±22.04)23.74 (±6.15)a
\", \"cells\": [{\"cell\": \"Groups\", \"bbox\": [47, 5, 77, 14]}, {\"cell\": \"SHi\", \"bbox\": [175, 5, 190, 14]}, {\"cell\": \"SHf\", \"bbox\": [295, 5, 311, 14]}, {\"cell\": \"% Hardness Loss\", \"bbox\": [389, 5, 457, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [28, 17, 96, 29]}, {\"cell\": \"329.92 (±35.81)\", \"bbox\": [153, 19, 211, 29]}, {\"cell\": \"253.90 (±45.15)\", \"bbox\": [273, 19, 332, 29]}, {\"cell\": \"23.24 (±8.436)a\", \"bbox\": [395, 19, 451, 29]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [21, 31, 103, 44]}, {\"cell\": \"337.58 (±28.41)\", \"bbox\": [153, 33, 211, 43]}, {\"cell\": \"310.80 (±34.58)\", \"bbox\": [273, 33, 332, 43]}, {\"cell\": \"7.89 (±7.5)b\", \"bbox\": [402, 33, 445, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [22, 46, 101, 58]}, {\"cell\": \"334.16 (±26.88)\", \"bbox\": [153, 48, 211, 57]}, {\"cell\": \"250.92 (±37.49)\", \"bbox\": [273, 48, 332, 57]}, {\"cell\": \"24.65 (±11.50)a\", \"bbox\": [395, 48, 451, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 60, 108, 72]}, {\"cell\": \"336.24 (±30.50)\", \"bbox\": [153, 62, 211, 72]}, {\"cell\": \"240.26 (±48.45)\", \"bbox\": [273, 62, 332, 72]}, {\"cell\": \"28.47 (±13.37)a\", \"bbox\": [395, 62, 451, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [18, 74, 105, 87]}, {\"cell\": \"341.19 (±31.87)\", \"bbox\": [153, 76, 211, 86]}, {\"cell\": \"241.90 (±37.23)\", \"bbox\": [273, 76, 332, 86]}, {\"cell\": \"28.74 (±11.53)a\", \"bbox\": [395, 76, 451, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 89, 112, 101]}, {\"cell\": \"337.85 (±29.91)\", \"bbox\": [153, 91, 211, 100]}, {\"cell\": \"248.89 (±43.01)\", \"bbox\": [273, 91, 332, 100]}, {\"cell\": \"26.56 (±9.51)a\", \"bbox\": [397, 91, 449, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [17, 103, 107, 115]}, {\"cell\": \"335.76 (±26.05)\", \"bbox\": [153, 105, 211, 115]}, {\"cell\": \"259.23 (±50.07)\", \"bbox\": [273, 105, 332, 115]}, {\"cell\": \"22.92 (±12.94)a\", \"bbox\": [395, 105, 451, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 117, 113, 130]}, {\"cell\": \"338.51 (±27.63)\", \"bbox\": [153, 119, 211, 129]}, {\"cell\": \"265.02 (±55.67)\", \"bbox\": [273, 119, 332, 129]}, {\"cell\": \"21.78 (±14.83)ab\", \"bbox\": [394, 119, 453, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [28, 131, 96, 144]}, {\"cell\": \"337.27(±32.29)\", \"bbox\": [154, 134, 210, 143]}, {\"cell\": \"252.81 (±57.71)\", \"bbox\": [273, 134, 332, 143]}, {\"cell\": \"25.35 (±12.76)a\", \"bbox\": [395, 134, 451, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [21, 146, 103, 158]}, {\"cell\": \"337.36 (±29.49)\", \"bbox\": [153, 148, 211, 158]}, {\"cell\": \"249.86 (±46.95)\", \"bbox\": [273, 148, 332, 158]}, {\"cell\": \"25.91(±12.51)a\", \"bbox\": [396, 148, 450, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [17, 160, 106, 181]}, {\"cell\": \"335.45 (±29.71)\", \"bbox\": [153, 162, 211, 172]}, {\"cell\": \"240.90 (±38.02)\", \"bbox\": [273, 162, 332, 172]}, {\"cell\": \"28.09 (±9.95)a\", \"bbox\": [397, 162, 449, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 184, 112, 205]}, {\"cell\": \"337.19 (±28.92)\", \"bbox\": [153, 186, 211, 196]}, {\"cell\": \"256.44 (±22.04)\", \"bbox\": [273, 186, 332, 196]}, {\"cell\": \"23.74 (±6.15)a\", \"bbox\": [397, 186, 449, 196]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5595115_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Adverse event (SOC and PT)Nintedanib, 200 mg bid (n = 62)Sorafenib, 400 mg bid (n = 31)
All grades, n (%)Grade ≥3, n (%)All grades, n (%)Grade ≥3, n (%)
Patients with any adverse event62 (100)42 (67.7)31 (100)[EMPTY_CELL]
Blood and lymphatic system disorders10 (16.1)5 (8.1)8 (25.8)[EMPTY_CELL]
Anaemia6 (9.7)4 (6.5)1 (3.2)[EMPTY_CELL]
Thrombocytopenia2 (3.2)1 (1.6)4 (12.9)[EMPTY_CELL]
Gastrointestinal disorders60 (96.8)16 (25.8)29 (93.5)[EMPTY_CELL]
Diarrhoea44 (71.0)8 (12.9)21 (67.7)[EMPTY_CELL]
Nausea30 (48.4)1 (1.6)9 (29.0)[EMPTY_CELL]
Vomiting24 (38.7)2 (3.2)9 (29.0)[EMPTY_CELL]
Abdominal pain16 (25.8)0 (0.0)9 (29.0)[EMPTY_CELL]
Abdominal pain upper16 (25.8)0 (0.0)4 (12.9)[EMPTY_CELL]
General disorders and administration site conditions44 (71.0)11 (17.7)21 (67.7)[EMPTY_CELL]
Fatigue35 (56.5)7 (11.3)10 (32.3)[EMPTY_CELL]
Investigations24 (38.7)14 (22.6)17 (54.8)[EMPTY_CELL]
AST increased11 (17.7)7 (11.3)5 (16.1)[EMPTY_CELL]
ALT increased8 (12.9)5 (8.1)3 (9.7)[EMPTY_CELL]
Metabolism and nutrition disorders26 (41.9)4 (6.5)18 (58.1)[EMPTY_CELL]
Decreased appetite23 (37.1)1 (1.6)13 (41.9)[EMPTY_CELL]
Neoplasms benign, malignant and unspecified (including cysts and polyps)6 (9.7)4 (6.5)4 (12.9)[EMPTY_CELL]
Malignant neoplasm progression2 (3.2)2 (3.2)3 (9.7)[EMPTY_CELL]
Nervous system disorders20 (32.3)7 (11.3)16 (51.6)[EMPTY_CELL]
Hepatic encephalopathy5 (8.1)5 (8.1)2 (6.5)[EMPTY_CELL]
Lethargy5 (8.1)0 (0.0)8 (25.8)[EMPTY_CELL]
Skin and subcutaneous tissue disorders27 (43.5)2 (3.2)25 (80.6)[EMPTY_CELL]
Rash6 (9.7)0 (0.0)7 (22.6)[EMPTY_CELL]
Alopecia3 (4.8)0 (0.0)11 (35.5)[EMPTY_CELL]
Palmar–plantar erythrodysesthesia syndrome1 (1.6)0 (0.0)11 (35.5)[EMPTY_CELL]
Skin reaction1 (1.6)1 (1.6)3 (9.7)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Adverse event (SOC and PT)\", \"bbox\": [1, 7, 52, 25]}, {\"cell\": \"Nintedanib, 200 mg bid (n = 62)\", \"bbox\": [103, 7, 173, 34]}, {\"cell\": \"Sorafenib, 400 mg bid (n = 31)\", \"bbox\": [178, 7, 242, 25]}, {\"cell\": \"All grades, n (%)\", \"bbox\": [103, 40, 130, 68]}, {\"cell\": \"Grade ≥3, n (%)\", \"bbox\": [138, 40, 174, 59]}, {\"cell\": \"All grades, n (%)\", \"bbox\": [178, 40, 205, 68]}, {\"cell\": \"Grade ≥3, n (%)\", \"bbox\": [213, 40, 245, 59]}, {\"cell\": \"Patients with any adverse event\", \"bbox\": [1, 76, 91, 94]}, {\"cell\": \"62 (100)\", \"bbox\": [103, 76, 133, 85]}, {\"cell\": \"42 (67.7)\", \"bbox\": [138, 76, 170, 85]}, {\"cell\": \"31 (100)\", \"bbox\": [178, 76, 208, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 76, 245, 85]}, {\"cell\": \"Blood and lymphatic system disorders\", \"bbox\": [1, 97, 99, 115]}, {\"cell\": \"10 (16.1)\", \"bbox\": [103, 97, 134, 106]}, {\"cell\": \"5 (8.1)\", \"bbox\": [138, 97, 162, 106]}, {\"cell\": \"8 (25.8)\", \"bbox\": [178, 97, 205, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 97, 240, 106]}, {\"cell\": \"Anaemia\", \"bbox\": [1, 117, 33, 127]}, {\"cell\": \"6 (9.7)\", \"bbox\": [103, 117, 126, 127]}, {\"cell\": \"4 (6.5)\", \"bbox\": [138, 117, 162, 127]}, {\"cell\": \"1 (3.2)\", \"bbox\": [178, 117, 201, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 117, 236, 127]}, {\"cell\": \"Thrombocytopenia\", \"bbox\": [1, 129, 68, 139]}, {\"cell\": \"2 (3.2)\", \"bbox\": [103, 129, 126, 139]}, {\"cell\": \"1 (1.6)\", \"bbox\": [138, 129, 162, 139]}, {\"cell\": \"4 (12.9)\", \"bbox\": [178, 129, 205, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 129, 236, 139]}, {\"cell\": \"Gastrointestinal disorders\", \"bbox\": [1, 141, 90, 151]}, {\"cell\": \"60 (96.8)\", \"bbox\": [103, 141, 134, 151]}, {\"cell\": \"16 (25.8)\", \"bbox\": [138, 141, 170, 151]}, {\"cell\": \"29 (93.5)\", \"bbox\": [178, 141, 209, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 141, 236, 151]}, {\"cell\": \"Diarrhoea\", \"bbox\": [1, 153, 36, 163]}, {\"cell\": \"44 (71.0)\", \"bbox\": [103, 153, 134, 163]}, {\"cell\": \"8 (12.9)\", \"bbox\": [138, 153, 166, 163]}, {\"cell\": \"21 (67.7)\", \"bbox\": [178, 153, 209, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 153, 236, 163]}, {\"cell\": \"Nausea\", \"bbox\": [1, 165, 27, 175]}, {\"cell\": \"30 (48.4)\", \"bbox\": [103, 165, 134, 175]}, {\"cell\": \"1 (1.6)\", \"bbox\": [138, 165, 162, 175]}, {\"cell\": \"9 (29.0)\", \"bbox\": [178, 165, 205, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 165, 236, 175]}, {\"cell\": \"Vomiting\", \"bbox\": [1, 177, 34, 187]}, {\"cell\": \"24 (38.7)\", \"bbox\": [103, 177, 134, 187]}, {\"cell\": \"2 (3.2)\", \"bbox\": [138, 177, 162, 187]}, {\"cell\": \"9 (29.0)\", \"bbox\": [178, 177, 205, 187]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 177, 236, 187]}, {\"cell\": \"Abdominal pain\", \"bbox\": [1, 189, 58, 199]}, {\"cell\": \"16 (25.8)\", \"bbox\": [103, 189, 134, 199]}, {\"cell\": \"0 (0.0)\", \"bbox\": [138, 189, 162, 199]}, {\"cell\": \"9 (29.0)\", \"bbox\": [178, 189, 205, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 189, 236, 199]}, {\"cell\": \"Abdominal pain upper\", \"bbox\": [1, 201, 81, 211]}, {\"cell\": \"16 (25.8)\", \"bbox\": [103, 201, 134, 211]}, {\"cell\": \"0 (0.0)\", \"bbox\": [138, 201, 162, 211]}, {\"cell\": \"4 (12.9)\", \"bbox\": [178, 201, 205, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 201, 236, 211]}, {\"cell\": \"General disorders and administration site conditions\", \"bbox\": [1, 213, 79, 241]}, {\"cell\": \"44 (71.0)\", \"bbox\": [103, 213, 134, 223]}, {\"cell\": \"11 (17.7)\", \"bbox\": [138, 213, 170, 223]}, {\"cell\": \"21 (67.7)\", \"bbox\": [178, 213, 209, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 213, 240, 223]}, {\"cell\": \"Fatigue\", \"bbox\": [1, 243, 28, 252]}, {\"cell\": \"35 (56.5)\", \"bbox\": [103, 243, 134, 252]}, {\"cell\": \"7 (11.3)\", \"bbox\": [138, 243, 166, 252]}, {\"cell\": \"10 (32.3)\", \"bbox\": [178, 243, 209, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 243, 236, 252]}, {\"cell\": \"Investigations\", \"bbox\": [1, 255, 50, 264]}, {\"cell\": \"24 (38.7)\", \"bbox\": [103, 255, 134, 264]}, {\"cell\": \"14 (22.6)\", \"bbox\": [138, 255, 170, 264]}, {\"cell\": \"17 (54.8)\", \"bbox\": [178, 255, 209, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 255, 245, 264]}, {\"cell\": \"AST increased\", \"bbox\": [1, 267, 51, 276]}, {\"cell\": \"11 (17.7)\", \"bbox\": [103, 267, 134, 276]}, {\"cell\": \"7 (11.3)\", \"bbox\": [138, 267, 166, 276]}, {\"cell\": \"5 (16.1)\", \"bbox\": [178, 267, 205, 276]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 267, 236, 276]}, {\"cell\": \"ALT increased\", \"bbox\": [1, 279, 50, 288]}, {\"cell\": \"8 (12.9)\", \"bbox\": [103, 279, 131, 288]}, {\"cell\": \"5 (8.1)\", \"bbox\": [138, 279, 162, 288]}, {\"cell\": \"3 (9.7)\", \"bbox\": [178, 279, 201, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 279, 236, 288]}, {\"cell\": \"Metabolism and nutrition disorders\", \"bbox\": [1, 291, 91, 309]}, {\"cell\": \"26 (41.9)\", \"bbox\": [103, 291, 134, 300]}, {\"cell\": \"4 (6.5)\", \"bbox\": [138, 291, 162, 300]}, {\"cell\": \"18 (58.1)\", \"bbox\": [178, 291, 209, 300]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 291, 240, 300]}, {\"cell\": \"Decreased appetite\", \"bbox\": [1, 312, 69, 321]}, {\"cell\": \"23 (37.1)\", \"bbox\": [103, 312, 134, 321]}, {\"cell\": \"1 (1.6)\", \"bbox\": [138, 312, 162, 321]}, {\"cell\": \"13 (41.9)\", \"bbox\": [178, 312, 209, 321]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 312, 236, 321]}, {\"cell\": \"Neoplasms benign, malignant and unspecified (including cysts and polyps)\", \"bbox\": [1, 324, 99, 351]}, {\"cell\": \"6 (9.7)\", \"bbox\": [103, 324, 126, 333]}, {\"cell\": \"4 (6.5)\", \"bbox\": [138, 324, 162, 333]}, {\"cell\": \"4 (12.9)\", \"bbox\": [178, 324, 205, 333]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 324, 236, 333]}, {\"cell\": \"Malignant neoplasm progression\", \"bbox\": [1, 353, 73, 372]}, {\"cell\": \"2 (3.2)\", \"bbox\": [103, 353, 126, 363]}, {\"cell\": \"2 (3.2)\", \"bbox\": [138, 353, 162, 363]}, {\"cell\": \"3 (9.7)\", \"bbox\": [178, 353, 201, 363]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 353, 236, 363]}, {\"cell\": \"Nervous system disorders\", \"bbox\": [1, 374, 91, 384]}, {\"cell\": \"20 (32.3)\", \"bbox\": [103, 374, 134, 384]}, {\"cell\": \"7 (11.3)\", \"bbox\": [138, 374, 166, 384]}, {\"cell\": \"16 (51.6)\", \"bbox\": [178, 374, 209, 384]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 374, 236, 384]}, {\"cell\": \"Hepatic encephalopathy\", \"bbox\": [1, 386, 87, 396]}, {\"cell\": \"5 (8.1)\", \"bbox\": [103, 386, 126, 396]}, {\"cell\": \"5 (8.1)\", \"bbox\": [138, 386, 162, 396]}, {\"cell\": \"2 (6.5)\", \"bbox\": [178, 386, 201, 396]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 386, 236, 396]}, {\"cell\": \"Lethargy\", \"bbox\": [1, 398, 32, 408]}, {\"cell\": \"5 (8.1)\", \"bbox\": [103, 398, 126, 408]}, {\"cell\": \"0 (0.0)\", \"bbox\": [138, 398, 162, 408]}, {\"cell\": \"8 (25.8)\", \"bbox\": [178, 398, 205, 408]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 398, 236, 408]}, {\"cell\": \"Skin and subcutaneous tissue disorders\", \"bbox\": [1, 410, 83, 429]}, {\"cell\": \"27 (43.5)\", \"bbox\": [103, 410, 134, 420]}, {\"cell\": \"2 (3.2)\", \"bbox\": [138, 410, 162, 420]}, {\"cell\": \"25 (80.6)\", \"bbox\": [178, 410, 209, 420]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 410, 245, 420]}, {\"cell\": \"Rash\", \"bbox\": [1, 431, 19, 441]}, {\"cell\": \"6 (9.7)\", \"bbox\": [103, 431, 126, 441]}, {\"cell\": \"0 (0.0)\", \"bbox\": [138, 431, 162, 441]}, {\"cell\": \"7 (22.6)\", \"bbox\": [178, 431, 205, 441]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 431, 236, 441]}, {\"cell\": \"Alopecia\", \"bbox\": [1, 443, 32, 453]}, {\"cell\": \"3 (4.8)\", \"bbox\": [103, 443, 126, 453]}, {\"cell\": \"0 (0.0)\", \"bbox\": [138, 443, 162, 453]}, {\"cell\": \"11 (35.5)\", \"bbox\": [178, 443, 209, 453]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 443, 236, 453]}, {\"cell\": \"Palmar–plantar erythrodysesthesia syndrome\", \"bbox\": [1, 455, 67, 483]}, {\"cell\": \"1 (1.6)\", \"bbox\": [103, 455, 126, 465]}, {\"cell\": \"0 (0.0)\", \"bbox\": [138, 455, 162, 465]}, {\"cell\": \"11 (35.5)\", \"bbox\": [178, 455, 209, 465]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 455, 240, 465]}, {\"cell\": \"Skin reaction\", \"bbox\": [1, 485, 48, 495]}, {\"cell\": \"1 (1.6)\", \"bbox\": [103, 485, 126, 495]}, {\"cell\": \"1 (1.6)\", \"bbox\": [138, 485, 162, 495]}, {\"cell\": \"3 (9.7)\", \"bbox\": [178, 485, 201, 495]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 485, 234, 495]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5943284_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Weight gain (g/kg/day)% of total6-12 months13-24 months25-36 months37-60 months
Boys (n=14)Girls (n=26)Boys (n=18)Girls (n=26)Boys (n=13)Girls (n=08)Boys (n=10)Girls (n=7)
No change in weight3.77.105.6[EMPTY_CELL]0010.00
Weight loss19.87.126.95.6[EMPTY_CELL]23.137.540.014.3
Poor (<5)14.714.3016.7[EMPTY_CELL]7.7030.042.9
Moderate (5-10)30.950.026.944.4[EMPTY_CELL]23.125.0028.6
Good (>10)30.921.446.227.8[EMPTY_CELL]46.237.520.014.3
\", \"cells\": [{\"cell\": \"Weight gain (g/kg/day)\", \"bbox\": [6, 14, 59, 37]}, {\"cell\": \"% of total\", \"bbox\": [106, 14, 128, 37]}, {\"cell\": \"6-12 months\", \"bbox\": [146, 5, 202, 17]}, {\"cell\": \"13-24 months\", \"bbox\": [222, 5, 284, 17]}, {\"cell\": \"25-36 months\", \"bbox\": [296, 5, 357, 17]}, {\"cell\": \"37-60 months\", \"bbox\": [373, 5, 434, 17]}, {\"cell\": \"Boys (n=14)\", \"bbox\": [141, 22, 169, 46]}, {\"cell\": \"Girls (n=26)\", \"bbox\": [179, 22, 208, 46]}, {\"cell\": \"Boys (n=18)\", \"bbox\": [217, 22, 246, 46]}, {\"cell\": \"Girls (n=26)\", \"bbox\": [255, 22, 284, 46]}, {\"cell\": \"Boys (n=13)\", \"bbox\": [293, 22, 322, 46]}, {\"cell\": \"Girls (n=08)\", \"bbox\": [332, 22, 360, 46]}, {\"cell\": \"Boys (n=10)\", \"bbox\": [370, 22, 398, 46]}, {\"cell\": \"Girls (n=7)\", \"bbox\": [410, 22, 434, 46]}, {\"cell\": \"No change in weight\", \"bbox\": [6, 51, 91, 63]}, {\"cell\": \"3.7\", \"bbox\": [107, 51, 122, 63]}, {\"cell\": \"7.1\", \"bbox\": [145, 51, 160, 63]}, {\"cell\": \"0\", \"bbox\": [187, 51, 194, 63]}, {\"cell\": \"5.6\", \"bbox\": [222, 51, 237, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [263, 51, 270, 63]}, {\"cell\": \"0\", \"bbox\": [301, 51, 309, 63]}, {\"cell\": \"0\", \"bbox\": [339, 51, 347, 63]}, {\"cell\": \"10.0\", \"bbox\": [371, 51, 391, 63]}, {\"cell\": \"0\", \"bbox\": [416, 51, 423, 63]}, {\"cell\": \"Weight loss\", \"bbox\": [6, 69, 56, 80]}, {\"cell\": \"19.8\", \"bbox\": [104, 69, 124, 80]}, {\"cell\": \"7.1\", \"bbox\": [145, 69, 160, 80]}, {\"cell\": \"26.9\", \"bbox\": [180, 69, 201, 80]}, {\"cell\": \"5.6\", \"bbox\": [222, 69, 237, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [259, 69, 274, 80]}, {\"cell\": \"23.1\", \"bbox\": [295, 69, 315, 80]}, {\"cell\": \"37.5\", \"bbox\": [333, 69, 353, 80]}, {\"cell\": \"40.0\", \"bbox\": [371, 69, 391, 80]}, {\"cell\": \"14.3\", \"bbox\": [409, 69, 429, 80]}, {\"cell\": \"Poor (<5)\", \"bbox\": [6, 86, 46, 98]}, {\"cell\": \"14.7\", \"bbox\": [104, 86, 124, 98]}, {\"cell\": \"14.3\", \"bbox\": [142, 86, 162, 98]}, {\"cell\": \"0\", \"bbox\": [187, 86, 194, 98]}, {\"cell\": \"16.7\", \"bbox\": [219, 86, 239, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [257, 86, 277, 98]}, {\"cell\": \"7.7\", \"bbox\": [297, 86, 312, 98]}, {\"cell\": \"0\", \"bbox\": [339, 86, 347, 98]}, {\"cell\": \"30.0\", \"bbox\": [371, 86, 391, 98]}, {\"cell\": \"42.9\", \"bbox\": [409, 86, 429, 98]}, {\"cell\": \"Moderate (5-10)\", \"bbox\": [6, 104, 75, 115]}, {\"cell\": \"30.9\", \"bbox\": [104, 104, 124, 115]}, {\"cell\": \"50.0\", \"bbox\": [142, 104, 162, 115]}, {\"cell\": \"26.9\", \"bbox\": [180, 104, 201, 115]}, {\"cell\": \"44.4\", \"bbox\": [219, 104, 239, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [257, 104, 277, 115]}, {\"cell\": \"23.1\", \"bbox\": [295, 104, 315, 115]}, {\"cell\": \"25.0\", \"bbox\": [333, 104, 353, 115]}, {\"cell\": \"0\", \"bbox\": [377, 104, 385, 115]}, {\"cell\": \"28.6\", \"bbox\": [409, 104, 429, 115]}, {\"cell\": \"Good (>10)\", \"bbox\": [6, 121, 58, 133]}, {\"cell\": \"30.9\", \"bbox\": [104, 121, 124, 133]}, {\"cell\": \"21.4\", \"bbox\": [142, 121, 162, 133]}, {\"cell\": \"46.2\", \"bbox\": [180, 121, 201, 133]}, {\"cell\": \"27.8\", \"bbox\": [219, 121, 239, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [257, 121, 277, 133]}, {\"cell\": \"46.2\", \"bbox\": [295, 121, 315, 133]}, {\"cell\": \"37.5\", \"bbox\": [333, 121, 353, 133]}, {\"cell\": \"20.0\", \"bbox\": [371, 121, 391, 133]}, {\"cell\": \"14.3\", \"bbox\": [409, 121, 429, 133]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2761803_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Target gene polymorphism(rs number)GenotypeNo. patients(%)Allele frequencies[EMPTY_CELL]Hardy-Weinberg equilibrium
SLC2A1 -2841A>TAA78(51.7%)[EMPTY_CELL]0.705:0.2950.2579
(rs710218)AT57(37.7%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]TT16(10.6%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
VEGFA +936C>TCC102(67.1%)[EMPTY_CELL]0.819:0.1810.2579
(rs3025039)CT45(29.6%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]TT5(3.3%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
APEX1 Asp148GluTT55(36.4%)[EMPTY_CELL]0.589:0.4110.3929
(rs1130409)TG68(45.0%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]GG28(18.5%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
HIF1A Pro582SerCC139(90.8%)[EMPTY_CELL]0.954:0.0460.5541
(rs11549465)CT14(9.2%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]TT0(0.0%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
HIF1A Ala588ThrGG137(90.1%)[EMPTY_CELL]0.951:0.0490.5219
(rs11549467)GA15(9.9%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]AA0(0.0%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Target gene polymorphism(rs number)\", \"bbox\": [5, 3, 103, 23]}, {\"cell\": \"Genotype\", \"bbox\": [131, 3, 168, 13]}, {\"cell\": \"No. patients\", \"bbox\": [180, 3, 225, 13]}, {\"cell\": \"(%)\", \"bbox\": [241, 3, 255, 13]}, {\"cell\": \"Allele frequencies\", \"bbox\": [278, 3, 344, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Hardy-Weinberg equilibrium\", \"bbox\": [409, 3, 470, 23]}, {\"cell\": \"SLC2A1 -2841A>T\", \"bbox\": [5, 39, 69, 49]}, {\"cell\": \"AA\", \"bbox\": [131, 39, 143, 48]}, {\"cell\": \"78\", \"bbox\": [180, 39, 190, 48]}, {\"cell\": \"(51.7%)\", \"bbox\": [241, 39, 267, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [278, 39, 290, 48]}, {\"cell\": \"0.705:0.295\", \"bbox\": [353, 39, 393, 48]}, {\"cell\": \"0.2579\", \"bbox\": [409, 39, 433, 48]}, {\"cell\": \"(rs710218)\", \"bbox\": [5, 53, 45, 63]}, {\"cell\": \"AT\", \"bbox\": [131, 53, 142, 62]}, {\"cell\": \"57\", \"bbox\": [180, 53, 190, 62]}, {\"cell\": \"(37.7%)\", \"bbox\": [241, 53, 267, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TT\", \"bbox\": [131, 67, 141, 76]}, {\"cell\": \"16\", \"bbox\": [180, 67, 190, 76]}, {\"cell\": \"(10.6%)\", \"bbox\": [241, 67, 267, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"VEGFA +936C>T\", \"bbox\": [5, 81, 64, 91]}, {\"cell\": \"CC\", \"bbox\": [131, 81, 142, 90]}, {\"cell\": \"102\", \"bbox\": [180, 81, 194, 90]}, {\"cell\": \"(67.1%)\", \"bbox\": [241, 81, 267, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [278, 81, 290, 90]}, {\"cell\": \"0.819:0.181\", \"bbox\": [353, 81, 393, 90]}, {\"cell\": \"0.2579\", \"bbox\": [409, 81, 433, 90]}, {\"cell\": \"(rs3025039)\", \"bbox\": [5, 95, 49, 105]}, {\"cell\": \"CT\", \"bbox\": [131, 95, 142, 104]}, {\"cell\": \"45\", \"bbox\": [180, 95, 190, 104]}, {\"cell\": \"(29.6%)\", \"bbox\": [241, 95, 267, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TT\", \"bbox\": [131, 109, 141, 118]}, {\"cell\": \"5\", \"bbox\": [180, 109, 186, 118]}, {\"cell\": \"(3.3%)\", \"bbox\": [241, 109, 263, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"APEX1 Asp148Glu\", \"bbox\": [5, 123, 70, 133]}, {\"cell\": \"TT\", \"bbox\": [131, 123, 141, 132]}, {\"cell\": \"55\", \"bbox\": [180, 123, 190, 132]}, {\"cell\": \"(36.4%)\", \"bbox\": [241, 123, 267, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [278, 123, 291, 132]}, {\"cell\": \"0.589:0.411\", \"bbox\": [353, 123, 393, 132]}, {\"cell\": \"0.3929\", \"bbox\": [409, 123, 433, 132]}, {\"cell\": \"(rs1130409)\", \"bbox\": [5, 137, 49, 147]}, {\"cell\": \"TG\", \"bbox\": [131, 137, 142, 146]}, {\"cell\": \"68\", \"bbox\": [180, 137, 190, 146]}, {\"cell\": \"(45.0%)\", \"bbox\": [241, 137, 267, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"GG\", \"bbox\": [131, 151, 143, 160]}, {\"cell\": \"28\", \"bbox\": [180, 151, 190, 160]}, {\"cell\": \"(18.5%)\", \"bbox\": [241, 151, 267, 160]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"HIF1A Pro582Ser\", \"bbox\": [5, 165, 66, 175]}, {\"cell\": \"CC\", \"bbox\": [131, 165, 142, 174]}, {\"cell\": \"139\", \"bbox\": [180, 165, 194, 174]}, {\"cell\": \"(90.8%)\", \"bbox\": [241, 165, 267, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [278, 165, 290, 174]}, {\"cell\": \"0.954:0.046\", \"bbox\": [353, 165, 393, 174]}, {\"cell\": \"0.5541\", \"bbox\": [409, 165, 433, 174]}, {\"cell\": \"(rs11549465)\", \"bbox\": [5, 179, 54, 189]}, {\"cell\": \"CT\", \"bbox\": [131, 179, 142, 188]}, {\"cell\": \"14\", \"bbox\": [180, 179, 190, 188]}, {\"cell\": \"(9.2%)\", \"bbox\": [241, 179, 263, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TT\", \"bbox\": [131, 193, 141, 202]}, {\"cell\": \"0\", \"bbox\": [180, 193, 186, 202]}, {\"cell\": \"(0.0%)\", \"bbox\": [241, 193, 263, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"HIF1A Ala588Thr\", \"bbox\": [5, 207, 66, 217]}, {\"cell\": \"GG\", \"bbox\": [131, 207, 143, 216]}, {\"cell\": \"137\", \"bbox\": [180, 207, 194, 216]}, {\"cell\": \"(90.1%)\", \"bbox\": [241, 207, 267, 216]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [278, 207, 292, 216]}, {\"cell\": \"0.951:0.049\", \"bbox\": [353, 207, 393, 216]}, {\"cell\": \"0.5219\", \"bbox\": [409, 207, 433, 216]}, {\"cell\": \"(rs11549467)\", \"bbox\": [5, 221, 54, 231]}, {\"cell\": \"GA\", \"bbox\": [131, 221, 143, 230]}, {\"cell\": \"15\", \"bbox\": [180, 221, 190, 230]}, {\"cell\": \"(9.9%)\", \"bbox\": [241, 221, 263, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"AA\", \"bbox\": [131, 235, 143, 244]}, {\"cell\": \"0\", \"bbox\": [180, 235, 186, 244]}, {\"cell\": \"(0.0%)\", \"bbox\": [241, 235, 263, 244]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2898683_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Reduction in prevalenceNumberof casesavertedaPotentialcostsavingsbNet benefits(costs AUD)cIncrementalcost-effectivenessratio (ICER, AUD)d
Sensitivity 1: reduce value of saving high-risk youth to $1.673 M (base case $1.934 M)
2%22$42,548,000[EMPTY_CELL]-$138,545
1%11$21,274,000[EMPTY_CELL]$1,656,909
Sensitivity 2: increase value of saving high-risk youth to $2.264 M (base case $1.934 M)
2%22$49,808,000[EMPTY_CELL]-$468,545
1%11$24,904,000[EMPTY_CELL]-$1,326,909
Sensitivity 3: increase proportion of participants likely to embark on a high-risk pathway to 3% (base case 0.5%)
2%132$255,288,000[EMPTY_CELL]-$1,634,758
1%66$127,644,000[EMPTY_CELL]-$1,335,515
\", \"cells\": [{\"cell\": \"Reduction in prevalence\", \"bbox\": [46, 5, 99, 23]}, {\"cell\": \"Numberof casesaverteda\", \"bbox\": [149, 5, 184, 33]}, {\"cell\": \"Potentialcostsavingsb\", \"bbox\": [240, 5, 278, 33]}, {\"cell\": \"Net benefits(costs AUD)c\", \"bbox\": [325, 5, 378, 23]}, {\"cell\": \"Incrementalcost-effectivenessratio (ICER, AUD)d\", \"bbox\": [428, 5, 497, 42]}, {\"cell\": \"Sensitivity 1: reduce value of saving high-risk youth to $1.673 M (base case $1.934 M)\", \"bbox\": [4, 55, 330, 64]}, {\"cell\": \"2%\", \"bbox\": [87, 65, 99, 73]}, {\"cell\": \"22\", \"bbox\": [174, 65, 184, 73]}, {\"cell\": \"$42,548,000\", \"bbox\": [235, 65, 278, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 65, 378, 73]}, {\"cell\": \"-$138,545\", \"bbox\": [462, 65, 497, 73]}, {\"cell\": \"1%\", \"bbox\": [87, 75, 99, 84]}, {\"cell\": \"11\", \"bbox\": [174, 75, 184, 84]}, {\"cell\": \"$21,274,000\", \"bbox\": [235, 75, 278, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [332, 75, 378, 84]}, {\"cell\": \"$1,656,909\", \"bbox\": [459, 75, 497, 84]}, {\"cell\": \"Sensitivity 2: increase value of saving high-risk youth to $2.264 M (base case $1.934 M)\", \"bbox\": [4, 85, 336, 95]}, {\"cell\": \"2%\", \"bbox\": [87, 96, 99, 104]}, {\"cell\": \"22\", \"bbox\": [174, 96, 184, 104]}, {\"cell\": \"$49,808,000\", \"bbox\": [235, 96, 278, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 96, 378, 104]}, {\"cell\": \"-$468,545\", \"bbox\": [462, 96, 497, 104]}, {\"cell\": \"1%\", \"bbox\": [87, 106, 99, 114]}, {\"cell\": \"11\", \"bbox\": [174, 106, 184, 114]}, {\"cell\": \"$24,904,000\", \"bbox\": [235, 106, 278, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [332, 106, 378, 114]}, {\"cell\": \"-$1,326,909\", \"bbox\": [456, 106, 497, 114]}, {\"cell\": \"Sensitivity 3: increase proportion of participants likely to embark on a high-risk pathway to 3% (base case 0.5%)\", \"bbox\": [4, 116, 432, 126]}, {\"cell\": \"2%\", \"bbox\": [87, 126, 99, 135]}, {\"cell\": \"132\", \"bbox\": [170, 126, 184, 135]}, {\"cell\": \"$255,288,000\", \"bbox\": [230, 126, 278, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [328, 126, 378, 135]}, {\"cell\": \"-$1,634,758\", \"bbox\": [456, 126, 497, 135]}, {\"cell\": \"1%\", \"bbox\": [87, 137, 99, 145]}, {\"cell\": \"66\", \"bbox\": [174, 137, 184, 145]}, {\"cell\": \"$127,644,000\", \"bbox\": [230, 137, 278, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [332, 137, 378, 145]}, {\"cell\": \"-$1,335,515\", \"bbox\": [456, 137, 497, 145]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2640473_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Gene SymbolPositionCell LineDirection of Change
ABL2446[EMPTY_CELL]Increase
AURKA258[EMPTY_CELL]Decrease
CHUK146[EMPTY_CELL]Decrease
CMPK116[EMPTY_CELL]Decrease
CSNK2A2159[EMPTY_CELL]Increase
JAK1718[EMPTY_CELL]Increase
LATS2793[EMPTY_CELL]Increase
LATS2697[EMPTY_CELL]Increase
MAP2K2108[EMPTY_CELL]Increase
MAP2K6181[EMPTY_CELL]Increase
MAST3492[EMPTY_CELL]Increase
NADK276[EMPTY_CELL]Increase
NEK2143[EMPTY_CELL]Decrease
NEK3131[EMPTY_CELL]Decrease
PGK1184[EMPTY_CELL]Increase
PGK191[EMPTY_CELL]Increase
PKM322[EMPTY_CELL]Increase
PKM66[EMPTY_CELL]Increase
PLK1178[EMPTY_CELL]Decrease
PLK182[EMPTY_CELL]Decrease
PRKAA140[EMPTY_CELL]Increase
PRPF4B727[EMPTY_CELL]Increase
ROCK21065[EMPTY_CELL]Increase
STK38118[EMPTY_CELL]Increase
STK38L119[EMPTY_CELL]Increase
TK132[EMPTY_CELL]Decrease
TLK1485[EMPTY_CELL]Increase
ULK1140[EMPTY_CELL]Increase
\", \"cells\": [{\"cell\": \"Gene Symbol\", \"bbox\": [6, 4, 50, 14]}, {\"cell\": \"Position\", \"bbox\": [58, 4, 86, 14]}, {\"cell\": \"Cell Line\", \"bbox\": [112, 4, 143, 14]}, {\"cell\": \"Direction of Change\", \"bbox\": [169, 4, 235, 14]}, {\"cell\": \"ABL2\", \"bbox\": [17, 19, 38, 29]}, {\"cell\": \"446\", \"bbox\": [65, 19, 79, 29]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 19, 149, 29]}, {\"cell\": \"Increase\", \"bbox\": [189, 19, 216, 29]}, {\"cell\": \"AURKA\", \"bbox\": [14, 33, 42, 43]}, {\"cell\": \"258\", \"bbox\": [65, 33, 79, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [94, 33, 161, 43]}, {\"cell\": \"Decrease\", \"bbox\": [187, 33, 217, 43]}, {\"cell\": \"CHUK\", \"bbox\": [16, 47, 39, 57]}, {\"cell\": \"146\", \"bbox\": [65, 47, 79, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 47, 149, 57]}, {\"cell\": \"Decrease\", \"bbox\": [187, 47, 217, 57]}, {\"cell\": \"CMPK1\", \"bbox\": [14, 61, 41, 71]}, {\"cell\": \"16\", \"bbox\": [67, 61, 77, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 61, 149, 71]}, {\"cell\": \"Decrease\", \"bbox\": [187, 61, 217, 71]}, {\"cell\": \"CSNK2A2\", \"bbox\": [10, 75, 45, 85]}, {\"cell\": \"159\", \"bbox\": [65, 75, 79, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [108, 75, 147, 85]}, {\"cell\": \"Increase\", \"bbox\": [189, 75, 216, 85]}, {\"cell\": \"JAK1\", \"bbox\": [18, 89, 37, 99]}, {\"cell\": \"718\", \"bbox\": [65, 89, 79, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 89, 149, 99]}, {\"cell\": \"Increase\", \"bbox\": [189, 89, 216, 99]}, {\"cell\": \"LATS2\", \"bbox\": [16, 103, 40, 113]}, {\"cell\": \"793\", \"bbox\": [65, 103, 79, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [96, 103, 159, 113]}, {\"cell\": \"Increase\", \"bbox\": [189, 103, 216, 113]}, {\"cell\": \"LATS2\", \"bbox\": [16, 117, 40, 127]}, {\"cell\": \"697\", \"bbox\": [65, 117, 79, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [108, 117, 147, 127]}, {\"cell\": \"Increase\", \"bbox\": [189, 117, 216, 127]}, {\"cell\": \"MAP2K2\", \"bbox\": [12, 131, 43, 141]}, {\"cell\": \"108\", \"bbox\": [65, 131, 79, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 131, 149, 141]}, {\"cell\": \"Increase\", \"bbox\": [189, 131, 216, 141]}, {\"cell\": \"MAP2K6\", \"bbox\": [12, 145, 43, 155]}, {\"cell\": \"181\", \"bbox\": [65, 145, 79, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 145, 149, 155]}, {\"cell\": \"Increase\", \"bbox\": [189, 145, 216, 155]}, {\"cell\": \"MAST3\", \"bbox\": [15, 159, 41, 169]}, {\"cell\": \"492\", \"bbox\": [65, 159, 79, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [108, 159, 147, 169]}, {\"cell\": \"Increase\", \"bbox\": [189, 159, 216, 169]}, {\"cell\": \"NADK2\", \"bbox\": [14, 173, 41, 183]}, {\"cell\": \"76\", \"bbox\": [67, 173, 77, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [94, 173, 161, 183]}, {\"cell\": \"Increase\", \"bbox\": [189, 173, 216, 183]}, {\"cell\": \"NEK2\", \"bbox\": [17, 187, 38, 197]}, {\"cell\": \"143\", \"bbox\": [65, 187, 79, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 187, 149, 197]}, {\"cell\": \"Decrease\", \"bbox\": [187, 187, 217, 197]}, {\"cell\": \"NEK3\", \"bbox\": [17, 201, 38, 211]}, {\"cell\": \"131\", \"bbox\": [65, 201, 79, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 201, 149, 211]}, {\"cell\": \"Decrease\", \"bbox\": [187, 201, 217, 211]}, {\"cell\": \"PGK1\", \"bbox\": [17, 215, 38, 225]}, {\"cell\": \"184\", \"bbox\": [65, 215, 79, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [108, 215, 147, 225]}, {\"cell\": \"Increase\", \"bbox\": [189, 215, 216, 225]}, {\"cell\": \"PGK1\", \"bbox\": [17, 229, 38, 239]}, {\"cell\": \"91\", \"bbox\": [67, 229, 77, 239]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 229, 149, 239]}, {\"cell\": \"Increase\", \"bbox\": [189, 229, 216, 239]}, {\"cell\": \"PKM\", \"bbox\": [19, 243, 37, 253]}, {\"cell\": \"322\", \"bbox\": [65, 243, 79, 253]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [108, 243, 147, 253]}, {\"cell\": \"Increase\", \"bbox\": [189, 243, 216, 253]}, {\"cell\": \"PKM\", \"bbox\": [19, 257, 37, 267]}, {\"cell\": \"66\", \"bbox\": [67, 257, 77, 267]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [108, 257, 147, 267]}, {\"cell\": \"Increase\", \"bbox\": [189, 257, 216, 267]}, {\"cell\": \"PLK1\", \"bbox\": [18, 271, 38, 281]}, {\"cell\": \"178\", \"bbox\": [65, 271, 79, 281]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [94, 271, 161, 281]}, {\"cell\": \"Decrease\", \"bbox\": [187, 271, 217, 281]}, {\"cell\": \"PLK1\", \"bbox\": [18, 285, 38, 295]}, {\"cell\": \"82\", \"bbox\": [67, 285, 77, 295]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [108, 285, 147, 295]}, {\"cell\": \"Decrease\", \"bbox\": [187, 285, 217, 295]}, {\"cell\": \"PRKAA1\", \"bbox\": [12, 299, 43, 309]}, {\"cell\": \"40\", \"bbox\": [67, 299, 77, 309]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 299, 149, 309]}, {\"cell\": \"Increase\", \"bbox\": [189, 299, 216, 309]}, {\"cell\": \"PRPF4B\", \"bbox\": [14, 313, 42, 323]}, {\"cell\": \"727\", \"bbox\": [65, 313, 79, 323]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 313, 149, 323]}, {\"cell\": \"Increase\", \"bbox\": [189, 313, 216, 323]}, {\"cell\": \"ROCK2\", \"bbox\": [15, 327, 41, 337]}, {\"cell\": \"1065\", \"bbox\": [64, 327, 81, 337]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 327, 149, 337]}, {\"cell\": \"Increase\", \"bbox\": [189, 327, 216, 337]}, {\"cell\": \"STK38\", \"bbox\": [16, 341, 40, 351]}, {\"cell\": \"118\", \"bbox\": [65, 341, 79, 351]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [96, 341, 159, 351]}, {\"cell\": \"Increase\", \"bbox\": [189, 341, 216, 351]}, {\"cell\": \"STK38L\", \"bbox\": [14, 355, 42, 365]}, {\"cell\": \"119\", \"bbox\": [65, 355, 79, 365]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 355, 149, 365]}, {\"cell\": \"Increase\", \"bbox\": [189, 355, 216, 365]}, {\"cell\": \"TK1\", \"bbox\": [20, 369, 36, 379]}, {\"cell\": \"32\", \"bbox\": [67, 369, 77, 379]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [104, 369, 151, 379]}, {\"cell\": \"Decrease\", \"bbox\": [187, 369, 217, 379]}, {\"cell\": \"TLK1\", \"bbox\": [18, 383, 38, 393]}, {\"cell\": \"485\", \"bbox\": [65, 383, 79, 393]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [104, 383, 151, 393]}, {\"cell\": \"Increase\", \"bbox\": [189, 383, 216, 393]}, {\"cell\": \"ULK1\", \"bbox\": [17, 397, 38, 407]}, {\"cell\": \"140\", \"bbox\": [65, 397, 79, 407]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 397, 149, 407]}, {\"cell\": \"Increase\", \"bbox\": [189, 397, 216, 407]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5217344_016_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
PrimerSequence (5′-3′)DescriptionExpected size (bp)
OriTF[EMPTY_CELL]OriT700
OriTR[EMPTY_CELL]
ZF[EMPTY_CELL]RepA and its flanking sequences2100
ZR[EMPTY_CELL]
EmCFB[EMPTY_CELL]EmR in pOriT-4Em825
EmC[EMPTY_CELL]
UPF[EMPTY_CELL]Upstream homologous fragment of epsT834
UPR[EMPTY_CELL]
DnF[EMPTY_CELL]Downstream homologous fragment of epsT830
DnR[EMPTY_CELL]
EmF[EMPTY_CELL]EmR in pMT825
EmR[EMPTY_CELL]
sacbF[EMPTY_CELL]sacB1900
sacBR[EMPTY_CELL]
TyzF[EMPTY_CELL]Confirmation of the second recombination3400a
TyzR[EMPTY_CELL]2000b
\", \"cells\": [{\"cell\": \"Primer\", \"bbox\": [1, 4, 25, 13]}, {\"cell\": \"Sequence (5′-3′)\", \"bbox\": [53, 4, 109, 13]}, {\"cell\": \"Description\", \"bbox\": [300, 4, 342, 13]}, {\"cell\": \"Expected size (bp)\", \"bbox\": [419, 4, 484, 13]}, {\"cell\": \"OriTF\", \"bbox\": [4, 17, 22, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [53, 17, 140, 27]}, {\"cell\": \"OriT\", \"bbox\": [313, 24, 328, 34]}, {\"cell\": \"700\", \"bbox\": [445, 24, 458, 34]}, {\"cell\": \"OriTR\", \"bbox\": [3, 31, 22, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [53, 31, 145, 41]}, {\"cell\": \"ZF\", \"bbox\": [8, 45, 18, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [53, 45, 177, 55]}, {\"cell\": \"RepA and its flanking sequences\", \"bbox\": [268, 52, 374, 62]}, {\"cell\": \"2100\", \"bbox\": [443, 52, 460, 62]}, {\"cell\": \"ZR\", \"bbox\": [8, 59, 18, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [53, 59, 218, 69]}, {\"cell\": \"EmCFB\", \"bbox\": [1, 73, 25, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [53, 73, 223, 83]}, {\"cell\": \"EmR in pOriT-4Em\", \"bbox\": [291, 80, 351, 90]}, {\"cell\": \"825\", \"bbox\": [445, 80, 458, 90]}, {\"cell\": \"EmC\", \"bbox\": [5, 87, 21, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [53, 87, 178, 97]}, {\"cell\": \"UPF\", \"bbox\": [6, 101, 20, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [53, 101, 198, 111]}, {\"cell\": \"Upstream homologous fragment of epsT\", \"bbox\": [255, 108, 387, 118]}, {\"cell\": \"834\", \"bbox\": [445, 108, 458, 118]}, {\"cell\": \"UPR\", \"bbox\": [5, 115, 20, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [53, 115, 185, 125]}, {\"cell\": \"DnF\", \"bbox\": [5, 129, 20, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [53, 129, 167, 139]}, {\"cell\": \"Downstream homologous fragment of epsT\", \"bbox\": [250, 136, 392, 146]}, {\"cell\": \"830\", \"bbox\": [445, 136, 458, 146]}, {\"cell\": \"DnR\", \"bbox\": [5, 143, 21, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [53, 143, 198, 153]}, {\"cell\": \"EmF\", \"bbox\": [5, 157, 21, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [53, 157, 198, 167]}, {\"cell\": \"EmR in pMT\", \"bbox\": [301, 164, 341, 174]}, {\"cell\": \"825\", \"bbox\": [445, 164, 458, 174]}, {\"cell\": \"EmR\", \"bbox\": [5, 171, 21, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [53, 171, 182, 181]}, {\"cell\": \"sacbF\", \"bbox\": [3, 185, 23, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [53, 185, 187, 195]}, {\"cell\": \"sacB\", \"bbox\": [313, 192, 329, 201]}, {\"cell\": \"1900\", \"bbox\": [443, 192, 460, 202]}, {\"cell\": \"sacBR\", \"bbox\": [3, 199, 23, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [53, 199, 181, 209]}, {\"cell\": \"TyzF\", \"bbox\": [5, 213, 21, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [53, 213, 168, 223]}, {\"cell\": \"Confirmation of the second recombination\", \"bbox\": [251, 220, 391, 230]}, {\"cell\": \"3400a\", \"bbox\": [442, 211, 462, 223]}, {\"cell\": \"TyzR\", \"bbox\": [5, 227, 21, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [53, 227, 154, 237]}, {\"cell\": \"2000b\", \"bbox\": [441, 225, 462, 237]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3930924_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Measures (normal value range)No-responseResponse
Before treatmentAfter treatmentBefore treatmentAfter treatment
Total protein (65–85 g/L)73.24 ± 4.3272.52 ± 3.46[EMPTY_CELL]74.64 ± 3.68
Albumin (40–55 g/L)33.23 ± 5.3132.57 ± 3.54[EMPTY_CELL]40.63 ± 3.25*
Globulin (20–40 g/L)30.62 ± 3.5731.39 ± 4.36[EMPTY_CELL]32.13 ± 3.86
Cholesterol (3.1–5.72 mmol/L)4.03 ± 1.344.23 ± 1.53[EMPTY_CELL]4.28 ± 1.93
Triglyceride (0.30–1.7 mmol/L)1.46 ± 0.691.49 ± 0.83[EMPTY_CELL]1.43 ± 0.58
Creatinine (41–73 μmol/L)46.53 ± 13.5245.36 ± 12.38[EMPTY_CELL]45.25 ± 14.21
Urea (2.6–7.5 mmol/L)4.23 ± 1.354.34 ± 1.28[EMPTY_CELL]4.15 ± 1.87
Fasting blood glucose (3.9–6.1 mmol/L)4.74 ± 0.834.84 ± 0.96[EMPTY_CELL]4.75 ± 0.86
White blood cell (3.5–9.5) × 1095.65 ± 1.355.78 ± 1.26[EMPTY_CELL]5.59 ± 1.47
Hemoglobin (115–150 g/L)102.35 ± 18.79103.24 ± 19.21[EMPTY_CELL]113.46 ± 16.62*
Platelet (94–268) × 109253.23 ± 68.31262.31 ± 72.78[EMPTY_CELL]223.19 ± 65.87*
\", \"cells\": [{\"cell\": \"Measures (normal value range)\", \"bbox\": [1, 4, 109, 14]}, {\"cell\": \"No-response\", \"bbox\": [158, 4, 204, 14]}, {\"cell\": \"Response\", \"bbox\": [334, 4, 369, 14]}, {\"cell\": \"Before treatment\", \"bbox\": [158, 20, 219, 30]}, {\"cell\": \"After treatment\", \"bbox\": [248, 20, 304, 30]}, {\"cell\": \"Before treatment\", \"bbox\": [334, 20, 395, 30]}, {\"cell\": \"After treatment\", \"bbox\": [424, 20, 480, 30]}, {\"cell\": \"Total protein (65–85 g/L)\", \"bbox\": [1, 38, 81, 48]}, {\"cell\": \"73.24 ± 4.32\", \"bbox\": [163, 38, 203, 48]}, {\"cell\": \"72.52 ± 3.46\", \"bbox\": [254, 38, 294, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 38, 379, 48]}, {\"cell\": \"74.64 ± 3.68\", \"bbox\": [430, 38, 470, 48]}, {\"cell\": \"Albumin (40–55 g/L)\", \"bbox\": [1, 50, 68, 60]}, {\"cell\": \"33.23 ± 5.31\", \"bbox\": [163, 50, 203, 60]}, {\"cell\": \"32.57 ± 3.54\", \"bbox\": [254, 50, 294, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 50, 379, 60]}, {\"cell\": \"40.63 ± 3.25*\", \"bbox\": [430, 50, 473, 60]}, {\"cell\": \"Globulin (20–40 g/L)\", \"bbox\": [1, 62, 68, 72]}, {\"cell\": \"30.62 ± 3.57\", \"bbox\": [163, 62, 203, 72]}, {\"cell\": \"31.39 ± 4.36\", \"bbox\": [254, 62, 294, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 62, 379, 72]}, {\"cell\": \"32.13 ± 3.86\", \"bbox\": [430, 62, 470, 72]}, {\"cell\": \"Cholesterol (3.1–5.72 mmol/L)\", \"bbox\": [1, 75, 98, 84]}, {\"cell\": \"4.03 ± 1.34\", \"bbox\": [167, 75, 203, 84]}, {\"cell\": \"4.23 ± 1.53\", \"bbox\": [258, 75, 294, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [343, 75, 379, 84]}, {\"cell\": \"4.28 ± 1.93\", \"bbox\": [433, 75, 470, 84]}, {\"cell\": \"Triglyceride (0.30–1.7 mmol/L)\", \"bbox\": [1, 87, 99, 96]}, {\"cell\": \"1.46 ± 0.69\", \"bbox\": [167, 87, 203, 96]}, {\"cell\": \"1.49 ± 0.83\", \"bbox\": [258, 87, 294, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [343, 87, 379, 96]}, {\"cell\": \"1.43 ± 0.58\", \"bbox\": [433, 87, 470, 96]}, {\"cell\": \"Creatinine (41–73 μmol/L)\", \"bbox\": [1, 99, 86, 108]}, {\"cell\": \"46.53 ± 13.52\", \"bbox\": [163, 99, 207, 108]}, {\"cell\": \"45.36 ± 12.38\", \"bbox\": [254, 99, 298, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 99, 383, 108]}, {\"cell\": \"45.25 ± 14.21\", \"bbox\": [430, 99, 474, 108]}, {\"cell\": \"Urea (2.6–7.5 mmol/L)\", \"bbox\": [1, 111, 73, 120]}, {\"cell\": \"4.23 ± 1.35\", \"bbox\": [167, 111, 203, 120]}, {\"cell\": \"4.34 ± 1.28\", \"bbox\": [258, 111, 294, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [343, 111, 379, 120]}, {\"cell\": \"4.15 ± 1.87\", \"bbox\": [433, 111, 470, 120]}, {\"cell\": \"Fasting blood glucose (3.9–6.1 mmol/L)\", \"bbox\": [1, 123, 128, 132]}, {\"cell\": \"4.74 ± 0.83\", \"bbox\": [167, 123, 203, 132]}, {\"cell\": \"4.84 ± 0.96\", \"bbox\": [258, 123, 294, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [343, 123, 379, 132]}, {\"cell\": \"4.75 ± 0.86\", \"bbox\": [433, 123, 470, 132]}, {\"cell\": \"White blood cell (3.5–9.5) × 109\", \"bbox\": [1, 134, 102, 144]}, {\"cell\": \"5.65 ± 1.35\", \"bbox\": [167, 135, 203, 144]}, {\"cell\": \"5.78 ± 1.26\", \"bbox\": [258, 135, 294, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [343, 135, 379, 144]}, {\"cell\": \"5.59 ± 1.47\", \"bbox\": [433, 135, 470, 144]}, {\"cell\": \"Hemoglobin (115–150 g/L)\", \"bbox\": [0, 147, 89, 157]}, {\"cell\": \"102.35 ± 18.79\", \"bbox\": [159, 147, 207, 157]}, {\"cell\": \"103.24 ± 19.21\", \"bbox\": [250, 147, 298, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 147, 383, 157]}, {\"cell\": \"113.46 ± 16.62*\", \"bbox\": [426, 147, 477, 157]}, {\"cell\": \"Platelet (94–268) × 109\", \"bbox\": [0, 158, 74, 169]}, {\"cell\": \"253.23 ± 68.31\", \"bbox\": [159, 159, 207, 169]}, {\"cell\": \"262.31 ± 72.78\", \"bbox\": [250, 159, 298, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 159, 383, 169]}, {\"cell\": \"223.19 ± 65.87*\", \"bbox\": [426, 159, 477, 169]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC6003078_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
MeasuresConditions
Skin fold thickness (caliper 5 g/mm2)[EMPTY_CELL]
Triceps and biceps[EMPTY_CELL]
Subscapular[EMPTY_CELL]
Supra iliac[EMPTY_CELL]
Dimensions[EMPTY_CELL]
Condylar[EMPTY_CELL]
Bistyloid[EMPTY_CELL]
Waist[EMPTY_CELL]
Hip[EMPTY_CELL]
TBF calculations, percentage[EMPTY_CELL]
Womersley [9][EMPTY_CELL]
James [10][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]
von Döbeln [11][EMPTY_CELL]
Deurenberg et al. [12][EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Measures\", \"bbox\": [5, 9, 40, 19]}, {\"cell\": \"Conditions\", \"bbox\": [166, 9, 205, 19]}, {\"cell\": \"Skin fold thickness (caliper 5 g/mm2)\", \"bbox\": [5, 25, 132, 35]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Triceps and biceps\", \"bbox\": [14, 41, 81, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 41, 400, 51]}, {\"cell\": \" Subscapular\", \"bbox\": [14, 56, 59, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 56, 361, 66]}, {\"cell\": \" Supra iliac\", \"bbox\": [14, 72, 52, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 72, 253, 82]}, {\"cell\": \"Dimensions\", \"bbox\": [5, 87, 46, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Condylar\", \"bbox\": [14, 103, 47, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 103, 245, 113]}, {\"cell\": \" Bistyloid\", \"bbox\": [14, 118, 45, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 118, 245, 128]}, {\"cell\": \" Waist\", \"bbox\": [14, 134, 36, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 134, 297, 144]}, {\"cell\": \" Hip\", \"bbox\": [14, 149, 28, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 149, 291, 159]}, {\"cell\": \"TBF calculations, percentage\", \"bbox\": [5, 165, 106, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Womersley [9]\", \"bbox\": [14, 180, 67, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 170, 303, 192]}, {\"cell\": \" James [10]\", \"bbox\": [14, 196, 54, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 195, 343, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 211, 355, 221]}, {\"cell\": \" von Döbeln [11]\", \"bbox\": [14, 227, 72, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 216, 438, 238]}, {\"cell\": \" Deurenberg et al. [12]\", \"bbox\": [14, 242, 92, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 242, 340, 252]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2575566_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Maternal free sugar intake during pregnancyp-trend
Quintile 1Quintile 2Quintile 3Quintile 4Quintile 5Per quintile
Atopy without asthma n=794[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Adjusted OR (95% CI)1.000.78 (0.61–1.01)1.05 (0.82–1.34)0.96 (0.73–1.25)1.09 (0.80–1.50)1.04 (0.97–1.12)[EMPTY_CELL]
Adjusted OR+ (95% CI)1.000.77 (0.60–0.99)1.05 (0.82–1.34)0.95 (0.72–1.25)1.17 (0.85–1.62)1.05 (0.98–1.13)[EMPTY_CELL]
Nonatopic asthma n=301[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Adjusted OR (95% CI)1.000.82 (0.57–1.16)0.67 (0.46–0.99)0.77 (0.52–1.16)0.83 (0.52–1.34)0.95 (0.85–1.06)[EMPTY_CELL]
Adjusted OR+ (95% CI)1.000.87 (0.61–1.25)0.73 (0.49–1.08)0.78 (0.52–1.18)0.71 (0.43–1.15)0.92 (0.82–1.03)[EMPTY_CELL]
Atopic asthma n=337[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Adjusted OR (95% CI)1.001.66 (1.14–2.41)1.17 (0.78–1.77)2.09 (1.39–3.14)1.79 (1.11–2.90)1.14 (1.03–1.27)[EMPTY_CELL]
Adjusted OR+ (95% CI)1.001.75 (1.20–2.56)1.27 (0.84–1.93)2.18 (1.45–3.30)2.01 (1.23–3.29)1.17 (1.05–1.30)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Maternal free sugar intake during pregnancy\", \"bbox\": [210, 3, 375, 12]}, {\"cell\": \"p-trend\", \"bbox\": [479, 3, 508, 12]}, {\"cell\": \"Quintile 1\", \"bbox\": [113, 17, 150, 26]}, {\"cell\": \"Quintile 2\", \"bbox\": [168, 17, 204, 26]}, {\"cell\": \"Quintile 3\", \"bbox\": [232, 17, 269, 26]}, {\"cell\": \"Quintile 4\", \"bbox\": [296, 17, 333, 26]}, {\"cell\": \"Quintile 5\", \"bbox\": [361, 17, 397, 26]}, {\"cell\": \"Per quintile\", \"bbox\": [421, 17, 466, 26]}, {\"cell\": \"Atopy without asthma n=794\", \"bbox\": [1, 37, 106, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Adjusted OR (95% CI)\", \"bbox\": [8, 45, 89, 57]}, {\"cell\": \"1.00\", \"bbox\": [123, 46, 140, 57]}, {\"cell\": \"0.78 (0.61–1.01)\", \"bbox\": [157, 46, 214, 57]}, {\"cell\": \"1.05 (0.82–1.34)\", \"bbox\": [222, 46, 279, 57]}, {\"cell\": \"0.96 (0.73–1.25)\", \"bbox\": [286, 46, 343, 57]}, {\"cell\": \"1.09 (0.80–1.50)\", \"bbox\": [351, 46, 408, 57]}, {\"cell\": \"1.04 (0.97–1.12)\", \"bbox\": [415, 46, 472, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [486, 46, 502, 57]}, {\"cell\": \" Adjusted OR+ (95% CI)\", \"bbox\": [8, 55, 88, 67]}, {\"cell\": \"1.00\", \"bbox\": [123, 56, 140, 67]}, {\"cell\": \"0.77 (0.60–0.99)\", \"bbox\": [157, 56, 214, 67]}, {\"cell\": \"1.05 (0.82–1.34)\", \"bbox\": [222, 56, 279, 67]}, {\"cell\": \"0.95 (0.72–1.25)\", \"bbox\": [286, 56, 343, 67]}, {\"cell\": \"1.17 (0.85–1.62)\", \"bbox\": [351, 56, 408, 67]}, {\"cell\": \"1.05 (0.98–1.13)\", \"bbox\": [415, 56, 472, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [486, 56, 502, 67]}, {\"cell\": \"Nonatopic asthma n=301\", \"bbox\": [1, 67, 92, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Adjusted OR (95% CI)\", \"bbox\": [8, 75, 89, 87]}, {\"cell\": \"1.00\", \"bbox\": [123, 76, 140, 87]}, {\"cell\": \"0.82 (0.57–1.16)\", \"bbox\": [157, 76, 214, 87]}, {\"cell\": \"0.67 (0.46–0.99)\", \"bbox\": [222, 76, 279, 87]}, {\"cell\": \"0.77 (0.52–1.16)\", \"bbox\": [286, 76, 343, 87]}, {\"cell\": \"0.83 (0.52–1.34)\", \"bbox\": [351, 76, 408, 87]}, {\"cell\": \"0.95 (0.85–1.06)\", \"bbox\": [415, 76, 472, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [486, 76, 502, 87]}, {\"cell\": \" Adjusted OR+ (95% CI)\", \"bbox\": [8, 85, 88, 97]}, {\"cell\": \"1.00\", \"bbox\": [123, 86, 140, 97]}, {\"cell\": \"0.87 (0.61–1.25)\", \"bbox\": [157, 86, 214, 97]}, {\"cell\": \"0.73 (0.49–1.08)\", \"bbox\": [222, 86, 279, 97]}, {\"cell\": \"0.78 (0.52–1.18)\", \"bbox\": [286, 86, 343, 97]}, {\"cell\": \"0.71 (0.43–1.15)\", \"bbox\": [351, 86, 408, 97]}, {\"cell\": \"0.92 (0.82–1.03)\", \"bbox\": [415, 86, 472, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [486, 86, 502, 97]}, {\"cell\": \"Atopic asthma n=337\", \"bbox\": [1, 97, 78, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Adjusted OR (95% CI)\", \"bbox\": [8, 105, 89, 117]}, {\"cell\": \"1.00\", \"bbox\": [123, 106, 140, 117]}, {\"cell\": \"1.66 (1.14–2.41)\", \"bbox\": [157, 106, 214, 117]}, {\"cell\": \"1.17 (0.78–1.77)\", \"bbox\": [222, 106, 279, 117]}, {\"cell\": \"2.09 (1.39–3.14)\", \"bbox\": [286, 106, 343, 117]}, {\"cell\": \"1.79 (1.11–2.90)\", \"bbox\": [351, 106, 408, 117]}, {\"cell\": \"1.14 (1.03–1.27)\", \"bbox\": [415, 106, 472, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [486, 106, 502, 117]}, {\"cell\": \" Adjusted OR+ (95% CI)\", \"bbox\": [8, 115, 88, 127]}, {\"cell\": \"1.00\", \"bbox\": [123, 116, 140, 127]}, {\"cell\": \"1.75 (1.20–2.56)\", \"bbox\": [157, 116, 214, 127]}, {\"cell\": \"1.27 (0.84–1.93)\", \"bbox\": [222, 116, 279, 127]}, {\"cell\": \"2.18 (1.45–3.30)\", \"bbox\": [286, 116, 343, 127]}, {\"cell\": \"2.01 (1.23–3.29)\", \"bbox\": [351, 116, 408, 127]}, {\"cell\": \"1.17 (1.05–1.30)\", \"bbox\": [415, 116, 472, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [484, 116, 504, 127]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5540678_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]NeverAlmost neverSometimesFairly oftenVery often
(1) In the last 30 days, how often have you been upset because of something that happened unexpectedly?01[EMPTY_CELL]34
(2) In the last 30 days, how often have you felt that you were unable to control the important things in your life?01[EMPTY_CELL]34
(3) In the last 30 days, how often have you felt nervous and “stressed”?01[EMPTY_CELL]34
(4) In the last 30 days, how often have you felt confident about your ability to handle your personal problems?43[EMPTY_CELL]10
(5) In the last 30 days, how often have you felt that things were going your way?43[EMPTY_CELL]10
(6) In the last 30 days, how often have you found that you could not cope with all the things that you had to do?01[EMPTY_CELL]34
(7) In the last 30 days, how often have you been able to control irritations in your life?43[EMPTY_CELL]10
(8) In the last 30 days, how often have you felt that you were on top of things?43[EMPTY_CELL]10
(9) In the last 30 days, how often have you been angered because of things that were outside of your control?01[EMPTY_CELL]34
(10) In the last 30 days, how often have you felt difficulties were piling up so high that you could not overcome them?01[EMPTY_CELL]34
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Never\", \"bbox\": [238, 4, 262, 15]}, {\"cell\": \"Almost never\", \"bbox\": [284, 4, 334, 15]}, {\"cell\": \"Sometimes\", \"bbox\": [347, 4, 388, 15]}, {\"cell\": \"Fairly often\", \"bbox\": [400, 4, 443, 15]}, {\"cell\": \"Very often\", \"bbox\": [456, 4, 495, 15]}, {\"cell\": \"(1) In the last 30 days, how often have you been upset because of something that happened unexpectedly?\", \"bbox\": [2, 17, 196, 38]}, {\"cell\": \"0\", \"bbox\": [247, 22, 253, 33]}, {\"cell\": \"1\", \"bbox\": [306, 22, 312, 33]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 22, 371, 33]}, {\"cell\": \"3\", \"bbox\": [418, 22, 425, 33]}, {\"cell\": \"4\", \"bbox\": [472, 22, 478, 33]}, {\"cell\": \"(2) In the last 30 days, how often have you felt that you were unable to control the important things in your life?\", \"bbox\": [2, 40, 219, 61]}, {\"cell\": \"0\", \"bbox\": [247, 45, 253, 56]}, {\"cell\": \"1\", \"bbox\": [306, 45, 312, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 45, 371, 56]}, {\"cell\": \"3\", \"bbox\": [418, 45, 425, 56]}, {\"cell\": \"4\", \"bbox\": [472, 45, 478, 56]}, {\"cell\": \"(3) In the last 30 days, how often have you felt nervous and “stressed”?\", \"bbox\": [2, 63, 215, 84]}, {\"cell\": \"0\", \"bbox\": [247, 68, 253, 79]}, {\"cell\": \"1\", \"bbox\": [306, 68, 312, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 68, 371, 79]}, {\"cell\": \"3\", \"bbox\": [418, 68, 425, 79]}, {\"cell\": \"4\", \"bbox\": [472, 68, 478, 79]}, {\"cell\": \"(4) In the last 30 days, how often have you felt confident about your ability to handle your personal problems?\", \"bbox\": [2, 86, 205, 107]}, {\"cell\": \"4\", \"bbox\": [247, 91, 253, 102]}, {\"cell\": \"3\", \"bbox\": [306, 91, 312, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 91, 371, 102]}, {\"cell\": \"1\", \"bbox\": [418, 91, 425, 102]}, {\"cell\": \"0\", \"bbox\": [472, 91, 478, 102]}, {\"cell\": \"(5) In the last 30 days, how often have you felt that things were going your way?\", \"bbox\": [2, 109, 209, 130]}, {\"cell\": \"4\", \"bbox\": [247, 114, 253, 124]}, {\"cell\": \"3\", \"bbox\": [306, 114, 312, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 114, 371, 124]}, {\"cell\": \"1\", \"bbox\": [418, 114, 425, 124]}, {\"cell\": \"0\", \"bbox\": [472, 114, 478, 124]}, {\"cell\": \"(6) In the last 30 days, how often have you found that you could not cope with all the things that you had to do?\", \"bbox\": [2, 132, 211, 153]}, {\"cell\": \"0\", \"bbox\": [247, 137, 253, 147]}, {\"cell\": \"1\", \"bbox\": [306, 137, 312, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 137, 371, 147]}, {\"cell\": \"3\", \"bbox\": [418, 137, 425, 147]}, {\"cell\": \"4\", \"bbox\": [472, 137, 478, 147]}, {\"cell\": \"(7) In the last 30 days, how often have you been able to control irritations in your life?\", \"bbox\": [2, 154, 200, 176]}, {\"cell\": \"4\", \"bbox\": [247, 160, 253, 170]}, {\"cell\": \"3\", \"bbox\": [306, 160, 312, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 160, 371, 170]}, {\"cell\": \"1\", \"bbox\": [418, 160, 425, 170]}, {\"cell\": \"0\", \"bbox\": [472, 160, 478, 170]}, {\"cell\": \"(8) In the last 30 days, how often have you felt that you were on top of things?\", \"bbox\": [2, 177, 219, 198]}, {\"cell\": \"4\", \"bbox\": [247, 183, 253, 193]}, {\"cell\": \"3\", \"bbox\": [306, 183, 312, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 183, 371, 193]}, {\"cell\": \"1\", \"bbox\": [418, 183, 425, 193]}, {\"cell\": \"0\", \"bbox\": [472, 183, 478, 193]}, {\"cell\": \"(9) In the last 30 days, how often have you been angered because of things that were outside of your control?\", \"bbox\": [2, 200, 205, 221]}, {\"cell\": \"0\", \"bbox\": [247, 206, 253, 216]}, {\"cell\": \"1\", \"bbox\": [306, 206, 312, 216]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 206, 371, 216]}, {\"cell\": \"3\", \"bbox\": [418, 206, 425, 216]}, {\"cell\": \"4\", \"bbox\": [472, 206, 478, 216]}, {\"cell\": \"(10) In the last 30 days, how often have you felt difficulties were piling up so high that you could not overcome them?\", \"bbox\": [2, 223, 213, 244]}, {\"cell\": \"0\", \"bbox\": [247, 228, 253, 239]}, {\"cell\": \"1\", \"bbox\": [306, 228, 312, 239]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 228, 371, 239]}, {\"cell\": \"3\", \"bbox\": [418, 228, 425, 239]}, {\"cell\": \"4\", \"bbox\": [472, 228, 478, 239]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3191747_010_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
StrainsPropertiesReference
[EMPTY_CELL]Cloning hostInvitrogen
[EMPTY_CELL]Restriction deficient strain derived from S. aureus 8325-4Kreiswirth et al., 1983
[EMPTY_CELL]S. aureus septic arthritis isolate from miceBremell et al., 1990
[EMPTY_CELL]Wild-type laboratory strainNovick, 1967
[EMPTY_CELL]S. aureus 8325-4 with ermC gene inserted in menDBates et al., 2003
[EMPTY_CELL]Spontaneous SCV derived from S. aureus LS-1 with mutation in aroDThis study
[EMPTY_CELL]S. aureus LS-1 with nucleotides 448–717 bp deleted in aroDThis study
[EMPTY_CELL]S. aureus LS-1 with erm gene inserted in menDThis study
[EMPTY_CELL]S. aureus LS-1 derivative ΔhemBWright and Nair, 2012
[EMPTY_CELL]Revertant of SCV445 with a wild-type aroD geneThis study
[EMPTY_CELL]A revertant of SCV445 carrying mutation in tyr-tRNA.This study
[EMPTY_CELL]A revertant of SCV445 carrying mutation in tyr-tRNAThis study
\", \"cells\": [{\"cell\": \"Strains\", \"bbox\": [1, 6, 26, 15]}, {\"cell\": \"Properties\", \"bbox\": [152, 6, 189, 15]}, {\"cell\": \"Reference\", \"bbox\": [440, 6, 476, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 23, 40, 32]}, {\"cell\": \"Cloning host\", \"bbox\": [152, 23, 192, 32]}, {\"cell\": \"Invitrogen\", \"bbox\": [440, 23, 471, 32]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 35, 58, 43]}, {\"cell\": \"Restriction deficient strain derived from S. aureus 8325-4\", \"bbox\": [152, 35, 326, 43]}, {\"cell\": \"Kreiswirth et al., 1983\", \"bbox\": [440, 35, 507, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 46, 48, 55]}, {\"cell\": \"S. aureus septic arthritis isolate from mice\", \"bbox\": [152, 46, 280, 55]}, {\"cell\": \"Bremell et al., 1990\", \"bbox\": [440, 46, 500, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 57, 55, 66]}, {\"cell\": \"Wild-type laboratory strain\", \"bbox\": [152, 57, 233, 66]}, {\"cell\": \"Novick, 1967\", \"bbox\": [440, 57, 482, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 69, 75, 77]}, {\"cell\": \"S. aureus 8325-4 with ermC gene inserted in menD\", \"bbox\": [152, 69, 309, 77]}, {\"cell\": \"Bates et al., 2003\", \"bbox\": [440, 69, 495, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 80, 58, 89]}, {\"cell\": \"Spontaneous SCV derived from S. aureus LS-1 with mutation in aroD\", \"bbox\": [152, 80, 363, 89]}, {\"cell\": \"This study\", \"bbox\": [440, 80, 472, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 92, 64, 100]}, {\"cell\": \"S. aureus LS-1 with nucleotides 448–717 bp deleted in aroD\", \"bbox\": [152, 92, 337, 100]}, {\"cell\": \"This study\", \"bbox\": [440, 92, 472, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 103, 68, 111]}, {\"cell\": \"S. aureus LS-1 with erm gene inserted in menD\", \"bbox\": [152, 103, 297, 111]}, {\"cell\": \"This study\", \"bbox\": [440, 103, 472, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 114, 73, 123]}, {\"cell\": \"S. aureus LS-1 derivative ΔhemB\", \"bbox\": [152, 114, 255, 123]}, {\"cell\": \"Wright and Nair, 2012\", \"bbox\": [440, 114, 508, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 126, 37, 134]}, {\"cell\": \"Revertant of SCV445 with a wild-type aroD gene\", \"bbox\": [152, 126, 300, 134]}, {\"cell\": \"This study\", \"bbox\": [440, 126, 472, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 137, 23, 146]}, {\"cell\": \"A revertant of SCV445 carrying mutation in tyr-tRNA.\", \"bbox\": [152, 137, 312, 146]}, {\"cell\": \"This study\", \"bbox\": [440, 137, 472, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 148, 23, 157]}, {\"cell\": \"A revertant of SCV445 carrying mutation in tyr-tRNA\", \"bbox\": [152, 148, 310, 157]}, {\"cell\": \"This study\", \"bbox\": [440, 148, 472, 157]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5449664_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
SpeciesStructureMEROPS ID
Bacteria[EMPTY_CELL][EMPTY_CELL]
Achromobacter lyticus[EMPTY_CELL]MER000277
Staphylococcus aureus[EMPTY_CELL]MER000264
Streptomyces griseus[EMPTY_CELL]MER000251
Protozoa[EMPTY_CELL][EMPTY_CELL]
Plasmodium falciparum[EMPTY_CELL]MER024901
Archaea[EMPTY_CELL][EMPTY_CELL]
Pyrococcus furiosus[EMPTY_CELL]MER017398
Fungi[EMPTY_CELL][EMPTY_CELL]
Fusarium oxysporum[EMPTY_CELL]MER000073
Neurospora crassa[EMPTY_CELL]MER028331
Plantae[EMPTY_CELL][EMPTY_CELL]
Arabidopsis thaliana[EMPTY_CELL]MER016541
Animalia[EMPTY_CELL][EMPTY_CELL]
Bos taurus[EMPTY_CELL]MER000207
[EMPTY_CELL][EMPTY_CELL]MER000024
Eisenia fetida[EMPTY_CELL]MER011050
Homo sapiens[EMPTY_CELL]MER000188
[EMPTY_CELL][EMPTY_CELL]MER000136
[EMPTY_CELL][EMPTY_CELL]MER000188
[EMPTY_CELL][EMPTY_CELL]MER000203
Mus musculus[EMPTY_CELL]MER000103
Rattus rattus[EMPTY_CELL]MER000030
Salmo salar[EMPTY_CELL]MER000035
Solenopsis invicta[EMPTY_CELL]MER027244
Trimeresurus stejnejer[EMPTY_CELL]MER002805
\", \"cells\": [{\"cell\": \"Species\", \"bbox\": [1, 4, 28, 13]}, {\"cell\": \"Structure\", \"bbox\": [101, 4, 135, 13]}, {\"cell\": \"MEROPS ID\", \"bbox\": [195, 4, 236, 13]}, {\"cell\": \"Bacteria\", \"bbox\": [1, 17, 31, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Achromobacter lyticus\", \"bbox\": [1, 30, 71, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 30, 144, 39]}, {\"cell\": \"MER000277\", \"bbox\": [195, 30, 234, 39]}, {\"cell\": \"Staphylococcus aureus\", \"bbox\": [1, 43, 72, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 44, 144, 52]}, {\"cell\": \"MER000264\", \"bbox\": [195, 44, 234, 52]}, {\"cell\": \"Streptomyces griseus\", \"bbox\": [1, 56, 66, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 57, 143, 65]}, {\"cell\": \"MER000251\", \"bbox\": [195, 57, 234, 65]}, {\"cell\": \"Protozoa\", \"bbox\": [1, 70, 35, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Plasmodium falciparum\", \"bbox\": [1, 83, 76, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 83, 171, 92]}, {\"cell\": \"MER024901\", \"bbox\": [195, 83, 234, 91]}, {\"cell\": \"Archaea\", \"bbox\": [1, 96, 31, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Pyrococcus furiosus\", \"bbox\": [1, 109, 62, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 109, 171, 119]}, {\"cell\": \"MER017398\", \"bbox\": [195, 109, 234, 118]}, {\"cell\": \"Fungi\", \"bbox\": [1, 122, 23, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Fusarium oxysporum\", \"bbox\": [1, 135, 67, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 136, 142, 144]}, {\"cell\": \"MER000073\", \"bbox\": [195, 136, 234, 144]}, {\"cell\": \"Neurospora crassa\", \"bbox\": [1, 149, 59, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 149, 171, 158]}, {\"cell\": \"MER028331\", \"bbox\": [195, 149, 234, 157]}, {\"cell\": \"Plantae\", \"bbox\": [1, 162, 29, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Arabidopsis thaliana\", \"bbox\": [1, 175, 66, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 175, 171, 184]}, {\"cell\": \"MER016541\", \"bbox\": [195, 175, 234, 183]}, {\"cell\": \"Animalia\", \"bbox\": [1, 188, 34, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Bos taurus\", \"bbox\": [1, 201, 35, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 201, 141, 210]}, {\"cell\": \"MER000207\", \"bbox\": [195, 201, 234, 210]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 215, 141, 223]}, {\"cell\": \"MER000024\", \"bbox\": [195, 215, 234, 223]}, {\"cell\": \"Eisenia fetida\", \"bbox\": [1, 227, 43, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 228, 145, 236]}, {\"cell\": \"MER011050\", \"bbox\": [195, 228, 234, 236]}, {\"cell\": \"Homo sapiens\", \"bbox\": [1, 241, 46, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 241, 140, 249]}, {\"cell\": \"MER000188\", \"bbox\": [195, 241, 234, 249]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 254, 142, 262]}, {\"cell\": \"MER000136\", \"bbox\": [195, 254, 234, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 267, 142, 275]}, {\"cell\": \"MER000188\", \"bbox\": [195, 267, 234, 275]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 280, 144, 288]}, {\"cell\": \"MER000203\", \"bbox\": [195, 280, 234, 288]}, {\"cell\": \"Mus musculus\", \"bbox\": [1, 293, 46, 303]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 293, 144, 302]}, {\"cell\": \"MER000103\", \"bbox\": [195, 293, 234, 302]}, {\"cell\": \"Rattus rattus\", \"bbox\": [1, 306, 42, 316]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 307, 145, 315]}, {\"cell\": \"MER000030\", \"bbox\": [195, 307, 234, 315]}, {\"cell\": \"Salmo salar\", \"bbox\": [1, 319, 39, 329]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 320, 140, 328]}, {\"cell\": \"MER000035\", \"bbox\": [195, 320, 234, 328]}, {\"cell\": \"Solenopsis invicta\", \"bbox\": [1, 333, 57, 342]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 333, 143, 341]}, {\"cell\": \"MER027244\", \"bbox\": [195, 333, 234, 341]}, {\"cell\": \"Trimeresurus stejnejer\", \"bbox\": [1, 346, 67, 355]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 346, 144, 354]}, {\"cell\": \"MER002805\", \"bbox\": [195, 346, 234, 354]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3434108_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
MicroorganismCarbon sourceSA titer (g L−1)SA yield (g g−1)SA productivity (g L−1 h−1)References
A. succinogenes GXAS137Sugarcane molasses64.70.81[EMPTY_CELL][32]
C. glutamicum CGMCC1006-ΔldhASugarcane molasses35.10.37[EMPTY_CELL][34]
E. coli BA305Sugarcane bagasse39.3N/A[EMPTY_CELL][35]
E. coli KJ122Cassava pulp98.60.72[EMPTY_CELL][36]
A. succinogenes ATCC 55618Rapeseed meal23.4N/A[EMPTY_CELL][37]
A. succinogenes CGMCC1593Wheat straw53.2N/A[EMPTY_CELL][38]
A. succiniciproducensWhey34.70.91[EMPTY_CELL][39]
C. glutamicum ΔldhA-pCRA717Glucose1460.92[EMPTY_CELL][41]
A. succinogenes ATCC 55618Glycerol49.60.87[EMPTY_CELL][25]
E. coli E2-Δsdh-ppc-sucABGlycerol43.2N/A[EMPTY_CELL][40]
Y. lipolytica H222-AZ2Glycerol250.26[EMPTY_CELL][5]
Y. lipolytica PGC01003Crude glycerol160.20.4[EMPTY_CELL]This study
\", \"cells\": [{\"cell\": \"Microorganism\", \"bbox\": [1, 4, 55, 14]}, {\"cell\": \"Carbon source\", \"bbox\": [140, 4, 191, 14]}, {\"cell\": \"SA titer (g L−1)\", \"bbox\": [235, 3, 286, 14]}, {\"cell\": \"SA yield (g g−1)\", \"bbox\": [294, 3, 349, 14]}, {\"cell\": \"SA productivity (g L−1 h−1)\", \"bbox\": [356, 4, 412, 23]}, {\"cell\": \"References\", \"bbox\": [444, 4, 483, 14]}, {\"cell\": \"A. succinogenes GXAS137\", \"bbox\": [1, 31, 82, 41]}, {\"cell\": \"Sugarcane molasses\", \"bbox\": [140, 31, 206, 41]}, {\"cell\": \"64.7\", \"bbox\": [235, 31, 250, 41]}, {\"cell\": \"0.81\", \"bbox\": [294, 31, 309, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [356, 31, 367, 41]}, {\"cell\": \"[32]\", \"bbox\": [444, 31, 458, 41]}, {\"cell\": \"C. glutamicum CGMCC1006-ΔldhA\", \"bbox\": [1, 43, 111, 53]}, {\"cell\": \"Sugarcane molasses\", \"bbox\": [140, 43, 206, 53]}, {\"cell\": \"35.1\", \"bbox\": [235, 43, 250, 53]}, {\"cell\": \"0.37\", \"bbox\": [294, 43, 309, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [356, 43, 371, 53]}, {\"cell\": \"[34]\", \"bbox\": [444, 43, 458, 53]}, {\"cell\": \"E. coli BA305\", \"bbox\": [1, 56, 42, 65]}, {\"cell\": \"Sugarcane bagasse\", \"bbox\": [140, 56, 203, 65]}, {\"cell\": \"39.3\", \"bbox\": [235, 56, 250, 65]}, {\"cell\": \"N/A\", \"bbox\": [294, 56, 309, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [356, 56, 371, 65]}, {\"cell\": \"[35]\", \"bbox\": [444, 56, 458, 65]}, {\"cell\": \"E. coli KJ122\", \"bbox\": [1, 68, 40, 77]}, {\"cell\": \"Cassava pulp\", \"bbox\": [140, 68, 183, 77]}, {\"cell\": \"98.6\", \"bbox\": [235, 68, 250, 77]}, {\"cell\": \"0.72\", \"bbox\": [294, 68, 309, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [356, 68, 371, 77]}, {\"cell\": \"[36]\", \"bbox\": [444, 68, 458, 77]}, {\"cell\": \"A. succinogenes ATCC 55618\", \"bbox\": [1, 80, 90, 89]}, {\"cell\": \"Rapeseed meal\", \"bbox\": [140, 80, 190, 89]}, {\"cell\": \"23.4\", \"bbox\": [235, 80, 250, 89]}, {\"cell\": \"N/A\", \"bbox\": [294, 80, 309, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [356, 80, 371, 89]}, {\"cell\": \"[37]\", \"bbox\": [444, 80, 458, 89]}, {\"cell\": \"A. succinogenes CGMCC1593\", \"bbox\": [1, 92, 93, 101]}, {\"cell\": \"Wheat straw\", \"bbox\": [140, 92, 181, 101]}, {\"cell\": \"53.2\", \"bbox\": [235, 92, 250, 101]}, {\"cell\": \"N/A\", \"bbox\": [294, 92, 309, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [356, 92, 371, 101]}, {\"cell\": \"[38]\", \"bbox\": [444, 92, 458, 101]}, {\"cell\": \"A. succiniciproducens\", \"bbox\": [1, 104, 67, 113]}, {\"cell\": \"Whey\", \"bbox\": [140, 104, 160, 113]}, {\"cell\": \"34.7\", \"bbox\": [235, 104, 250, 113]}, {\"cell\": \"0.91\", \"bbox\": [294, 104, 309, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [356, 104, 371, 113]}, {\"cell\": \"[39]\", \"bbox\": [444, 104, 458, 113]}, {\"cell\": \"C. glutamicum ΔldhA-pCRA717\", \"bbox\": [1, 116, 100, 125]}, {\"cell\": \"Glucose\", \"bbox\": [140, 116, 167, 125]}, {\"cell\": \"146\", \"bbox\": [235, 116, 248, 125]}, {\"cell\": \"0.92\", \"bbox\": [294, 116, 309, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [356, 116, 371, 125]}, {\"cell\": \"[41]\", \"bbox\": [444, 116, 458, 125]}, {\"cell\": \"A. succinogenes ATCC 55618\", \"bbox\": [1, 128, 90, 138]}, {\"cell\": \"Glycerol\", \"bbox\": [140, 128, 168, 138]}, {\"cell\": \"49.6\", \"bbox\": [235, 128, 250, 138]}, {\"cell\": \"0.87\", \"bbox\": [294, 128, 309, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [356, 128, 371, 138]}, {\"cell\": \"[25]\", \"bbox\": [444, 128, 458, 138]}, {\"cell\": \"E. coli E2-Δsdh-ppc-sucAB\", \"bbox\": [1, 140, 84, 150]}, {\"cell\": \"Glycerol\", \"bbox\": [140, 140, 168, 150]}, {\"cell\": \"43.2\", \"bbox\": [235, 140, 250, 150]}, {\"cell\": \"N/A\", \"bbox\": [294, 140, 309, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [356, 140, 371, 150]}, {\"cell\": \"[40]\", \"bbox\": [444, 140, 458, 150]}, {\"cell\": \"Y. lipolytica H222-AZ2\", \"bbox\": [1, 152, 70, 162]}, {\"cell\": \"Glycerol\", \"bbox\": [140, 152, 168, 162]}, {\"cell\": \"25\", \"bbox\": [235, 152, 245, 162]}, {\"cell\": \"0.26\", \"bbox\": [294, 152, 309, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [356, 152, 371, 162]}, {\"cell\": \"[5]\", \"bbox\": [444, 152, 454, 162]}, {\"cell\": \"Y. lipolytica PGC01003\", \"bbox\": [1, 164, 71, 174]}, {\"cell\": \"Crude glycerol\", \"bbox\": [140, 164, 188, 174]}, {\"cell\": \"160.2\", \"bbox\": [235, 164, 254, 174]}, {\"cell\": \"0.4\", \"bbox\": [294, 164, 306, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [356, 164, 367, 174]}, {\"cell\": \"This study\", \"bbox\": [444, 164, 478, 174]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5004273_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Target geneaMicroRNANumber of miRNAs
CCND1[EMPTY_CELL]5
BCL2[EMPTY_CELL]4
PURA[EMPTY_CELL]4
APP[EMPTY_CELL]3
CCND2[EMPTY_CELL]3
CCNE1[EMPTY_CELL]3
PTEN[EMPTY_CELL]3
RB1[EMPTY_CELL]3
WEE1[EMPTY_CELL]3
ADAM9[EMPTY_CELL]2
AKT3[EMPTY_CELL]2
BMI1[EMPTY_CELL]2
BRCA1[EMPTY_CELL]2
CADM1[EMPTY_CELL]2
CDK6[EMPTY_CELL]2
CDKN1A[EMPTY_CELL]2
CHORDC1[EMPTY_CELL]2
CHUK[EMPTY_CELL]2
E2F1[EMPTY_CELL]2
E2F3[EMPTY_CELL]2
HMGA1[EMPTY_CELL]2
HMGA2[EMPTY_CELL]2
IFNG[EMPTY_CELL]2
IGF1R[EMPTY_CELL]2
PTGS2[EMPTY_CELL]2
RBL1[EMPTY_CELL]2
RBL2[EMPTY_CELL]2
STAT3[EMPTY_CELL]2
SMAD7[EMPTY_CELL]2
VEGFA[EMPTY_CELL]2
\", \"cells\": [{\"cell\": \"Target genea\", \"bbox\": [1, 7, 24, 24]}, {\"cell\": \"MicroRNA\", \"bbox\": [41, 7, 77, 15]}, {\"cell\": \"Number of miRNAs\", \"bbox\": [209, 7, 246, 24]}, {\"cell\": \"CCND1\", \"bbox\": [1, 33, 26, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 33, 191, 51]}, {\"cell\": \"5\", \"bbox\": [225, 33, 231, 40]}, {\"cell\": \"BCL2\", \"bbox\": [1, 52, 20, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 52, 201, 70]}, {\"cell\": \"4\", \"bbox\": [225, 52, 231, 59]}, {\"cell\": \"PURA\", \"bbox\": [1, 71, 21, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 71, 202, 89]}, {\"cell\": \"4\", \"bbox\": [225, 71, 231, 78]}, {\"cell\": \"APP\", \"bbox\": [1, 90, 16, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 90, 203, 98]}, {\"cell\": \"3\", \"bbox\": [225, 90, 231, 97]}, {\"cell\": \"CCND2\", \"bbox\": [1, 99, 26, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 99, 203, 108]}, {\"cell\": \"3\", \"bbox\": [225, 100, 231, 107]}, {\"cell\": \"CCNE1\", \"bbox\": [1, 109, 25, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 109, 196, 117]}, {\"cell\": \"3\", \"bbox\": [225, 109, 231, 116]}, {\"cell\": \"PTEN\", \"bbox\": [1, 118, 20, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 118, 204, 127]}, {\"cell\": \"3\", \"bbox\": [225, 119, 231, 126]}, {\"cell\": \"RB1\", \"bbox\": [1, 128, 16, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 128, 204, 136]}, {\"cell\": \"3\", \"bbox\": [225, 128, 231, 135]}, {\"cell\": \"WEE1\", \"bbox\": [1, 137, 21, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 137, 200, 146]}, {\"cell\": \"3\", \"bbox\": [225, 138, 231, 145]}, {\"cell\": \"ADAM9\", \"bbox\": [1, 147, 26, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 147, 146, 155]}, {\"cell\": \"2\", \"bbox\": [225, 147, 231, 154]}, {\"cell\": \"AKT3\", \"bbox\": [1, 156, 19, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 156, 142, 165]}, {\"cell\": \"2\", \"bbox\": [225, 157, 231, 164]}, {\"cell\": \"BMI1\", \"bbox\": [1, 166, 19, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 166, 142, 174]}, {\"cell\": \"2\", \"bbox\": [225, 166, 231, 173]}, {\"cell\": \"BRCA1\", \"bbox\": [1, 175, 25, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 175, 142, 184]}, {\"cell\": \"2\", \"bbox\": [225, 176, 231, 183]}, {\"cell\": \"CADM1\", \"bbox\": [1, 185, 27, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 185, 142, 193]}, {\"cell\": \"2\", \"bbox\": [225, 185, 231, 192]}, {\"cell\": \"CDK6\", \"bbox\": [1, 194, 21, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 194, 142, 203]}, {\"cell\": \"2\", \"bbox\": [225, 195, 231, 202]}, {\"cell\": \"CDKN1A\", \"bbox\": [1, 204, 30, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 204, 150, 212]}, {\"cell\": \"2\", \"bbox\": [225, 204, 231, 211]}, {\"cell\": \"CHORDC1\", \"bbox\": [1, 213, 36, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 213, 142, 222]}, {\"cell\": \"2\", \"bbox\": [225, 214, 231, 221]}, {\"cell\": \"CHUK\", \"bbox\": [1, 223, 22, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 223, 142, 231]}, {\"cell\": \"2\", \"bbox\": [225, 223, 231, 230]}, {\"cell\": \"E2F1\", \"bbox\": [1, 232, 18, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 232, 150, 241]}, {\"cell\": \"2\", \"bbox\": [225, 233, 231, 240]}, {\"cell\": \"E2F3\", \"bbox\": [1, 242, 18, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 242, 150, 250]}, {\"cell\": \"2\", \"bbox\": [225, 242, 231, 249]}, {\"cell\": \"HMGA1\", \"bbox\": [1, 251, 27, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 251, 142, 260]}, {\"cell\": \"2\", \"bbox\": [225, 252, 231, 259]}, {\"cell\": \"HMGA2\", \"bbox\": [1, 261, 27, 269]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 261, 142, 269]}, {\"cell\": \"2\", \"bbox\": [225, 261, 231, 268]}, {\"cell\": \"IFNG\", \"bbox\": [1, 270, 18, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 270, 142, 279]}, {\"cell\": \"2\", \"bbox\": [225, 271, 231, 278]}, {\"cell\": \"IGF1R\", \"bbox\": [1, 280, 22, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 280, 142, 288]}, {\"cell\": \"2\", \"bbox\": [225, 280, 231, 287]}, {\"cell\": \"PTGS2\", \"bbox\": [1, 289, 24, 298]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 289, 142, 298]}, {\"cell\": \"2\", \"bbox\": [225, 290, 231, 297]}, {\"cell\": \"RBL1\", \"bbox\": [1, 299, 20, 307]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 299, 150, 307]}, {\"cell\": \"2\", \"bbox\": [225, 299, 231, 306]}, {\"cell\": \"RBL2\", \"bbox\": [1, 308, 20, 317]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 308, 150, 317]}, {\"cell\": \"2\", \"bbox\": [225, 309, 231, 316]}, {\"cell\": \"STAT3\", \"bbox\": [1, 318, 22, 326]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 318, 150, 326]}, {\"cell\": \"2\", \"bbox\": [225, 318, 231, 325]}, {\"cell\": \"SMAD7\", \"bbox\": [1, 327, 26, 336]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 327, 150, 336]}, {\"cell\": \"2\", \"bbox\": [225, 328, 231, 335]}, {\"cell\": \"VEGFA\", \"bbox\": [1, 337, 24, 345]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 337, 146, 345]}, {\"cell\": \"2\", \"bbox\": [225, 337, 231, 344]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5854644_009_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
SubgroupNumber of studiesPooled RR(95% CI)Q-test for heterogeneity
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]P valueI2 score
Study design
Cohort studies50.84 (0.42, 1.26)[EMPTY_CELL]64.8%
Case-control studies90.87 (0.54, 1.21)[EMPTY_CELL]89.7%
Hospital-based case-control studies60.88 (0.40, 1.36)[EMPTY_CELL]92.5%
Population-based case-control studies30.83 (0.63, 1.03)[EMPTY_CELL]0
Geographical region
Europe70.95 (0.49, 1.42)[EMPTY_CELL]91.9%
US/Canada30.80 (0.58, 1.02)[EMPTY_CELL]0
Japan30.76 (0.25, 1.27)[EMPTY_CELL]74.7%
Exposure assessment
Interview60.88 (0.40, 1.36)[EMPTY_CELL]92.5%
Mailed questionnaire70.84 (0.58, 1.09)[EMPTY_CELL]58.5%
Case sample size
Large70.99 (0.82, 1.17)[EMPTY_CELL]28.0%
Small70.68 (0.34, 1.02)[EMPTY_CELL]81.4%
\", \"cells\": [{\"cell\": \"Subgroup\", \"bbox\": [1, 4, 37, 13]}, {\"cell\": \"Number of studies\", \"bbox\": [157, 4, 224, 13]}, {\"cell\": \"Pooled RR(95% CI)\", \"bbox\": [256, 4, 294, 22]}, {\"cell\": \"Q-test for heterogeneity\", \"bbox\": [340, 4, 427, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"P value\", \"bbox\": [340, 25, 368, 34]}, {\"cell\": \"I2 score\", \"bbox\": [414, 24, 442, 34]}, {\"cell\": \"Study design\", \"bbox\": [1, 38, 44, 48]}, {\"cell\": \"Cohort studies\", \"bbox\": [1, 50, 49, 60]}, {\"cell\": \"5\", \"bbox\": [157, 50, 163, 60]}, {\"cell\": \"0.84 (0.42, 1.26)\", \"bbox\": [256, 50, 307, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 50, 359, 60]}, {\"cell\": \"64.8%\", \"bbox\": [414, 50, 435, 60]}, {\"cell\": \"Case-control studies\", \"bbox\": [1, 62, 67, 72]}, {\"cell\": \"9\", \"bbox\": [157, 62, 163, 72]}, {\"cell\": \"0.87 (0.54, 1.21)\", \"bbox\": [256, 62, 307, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 62, 366, 72]}, {\"cell\": \"89.7%\", \"bbox\": [414, 62, 435, 72]}, {\"cell\": \"Hospital-based case-control studies\", \"bbox\": [1, 74, 115, 83]}, {\"cell\": \"6\", \"bbox\": [157, 74, 163, 83]}, {\"cell\": \"0.88 (0.40, 1.36)\", \"bbox\": [256, 74, 307, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 74, 366, 83]}, {\"cell\": \"92.5%\", \"bbox\": [414, 74, 435, 83]}, {\"cell\": \"Population-based case-control studies\", \"bbox\": [1, 86, 124, 95]}, {\"cell\": \"3\", \"bbox\": [157, 86, 163, 95]}, {\"cell\": \"0.83 (0.63, 1.03)\", \"bbox\": [256, 86, 307, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 86, 359, 95]}, {\"cell\": \"0\", \"bbox\": [414, 86, 420, 95]}, {\"cell\": \"Geographical region\", \"bbox\": [1, 98, 68, 107]}, {\"cell\": \"Europe\", \"bbox\": [1, 110, 25, 119]}, {\"cell\": \"7\", \"bbox\": [157, 110, 163, 119]}, {\"cell\": \"0.95 (0.49, 1.42)\", \"bbox\": [256, 110, 307, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 110, 366, 119]}, {\"cell\": \"91.9%\", \"bbox\": [414, 110, 435, 119]}, {\"cell\": \"US/Canada\", \"bbox\": [1, 122, 38, 131]}, {\"cell\": \"3\", \"bbox\": [157, 122, 163, 131]}, {\"cell\": \"0.80 (0.58, 1.02)\", \"bbox\": [256, 122, 307, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 122, 359, 131]}, {\"cell\": \"0\", \"bbox\": [414, 122, 420, 131]}, {\"cell\": \"Japan\", \"bbox\": [1, 134, 21, 143]}, {\"cell\": \"3\", \"bbox\": [157, 134, 163, 143]}, {\"cell\": \"0.76 (0.25, 1.27)\", \"bbox\": [256, 134, 307, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 134, 359, 143]}, {\"cell\": \"74.7%\", \"bbox\": [414, 134, 435, 143]}, {\"cell\": \"Exposure assessment\", \"bbox\": [1, 146, 70, 155]}, {\"cell\": \"Interview\", \"bbox\": [1, 158, 32, 167]}, {\"cell\": \"6\", \"bbox\": [157, 158, 163, 167]}, {\"cell\": \"0.88 (0.40, 1.36)\", \"bbox\": [256, 158, 307, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 158, 366, 167]}, {\"cell\": \"92.5%\", \"bbox\": [414, 158, 435, 167]}, {\"cell\": \"Mailed questionnaire\", \"bbox\": [1, 170, 69, 179]}, {\"cell\": \"7\", \"bbox\": [157, 170, 163, 179]}, {\"cell\": \"0.84 (0.58, 1.09)\", \"bbox\": [256, 170, 307, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 170, 359, 179]}, {\"cell\": \"58.5%\", \"bbox\": [414, 170, 435, 179]}, {\"cell\": \"Case sample size\", \"bbox\": [1, 182, 57, 191]}, {\"cell\": \"Large\", \"bbox\": [1, 194, 20, 203]}, {\"cell\": \"7\", \"bbox\": [157, 194, 163, 203]}, {\"cell\": \"0.99 (0.82, 1.17)\", \"bbox\": [256, 194, 307, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 194, 359, 203]}, {\"cell\": \"28.0%\", \"bbox\": [414, 194, 435, 203]}, {\"cell\": \"Small\", \"bbox\": [1, 206, 20, 215]}, {\"cell\": \"7\", \"bbox\": [157, 206, 163, 215]}, {\"cell\": \"0.68 (0.34, 1.02)\", \"bbox\": [256, 206, 307, 215]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 206, 366, 215]}, {\"cell\": \"81.4%\", \"bbox\": [414, 206, 435, 215]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3182909_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
FunctionTestsScore
Orientation[EMPTY_CELL]0-1-2-3-4
Name of parents, state, city, place[EMPTY_CELL]
Age, month, day of month, day of week[EMPTY_CELL]
Object naming[EMPTY_CELL]0-1-2-3
Digit span – forward[EMPTY_CELL]0-1-2-3-4
4-7-2[EMPTY_CELL]
5-9-3-1[EMPTY_CELL]
2-7-5-9-4[EMPTY_CELL]
Digit span – backward[EMPTY_CELL]0-1-2-3
2-9-5[EMPTY_CELL]
4-1-9-7[EMPTY_CELL]
Recall[EMPTY_CELL]0-1-2-3
Naming body parts[EMPTY_CELL]0-1-2-3-4-5
Command[EMPTY_CELL]0-1-2-3
Verbal string repetition[EMPTY_CELL]0-1
Reading[EMPTY_CELL]0-1
Writing[EMPTY_CELL]0-1
Constructional praxis[EMPTY_CELL]0-1
[EMPTY_CELL][EMPTY_CELL]37
\", \"cells\": [{\"cell\": \"Function\", \"bbox\": [4, 9, 37, 20]}, {\"cell\": \"Tests\", \"bbox\": [98, 9, 118, 20]}, {\"cell\": \"Score\", \"bbox\": [433, 9, 454, 20]}, {\"cell\": \"Orientation\", \"bbox\": [4, 33, 45, 44]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [98, 33, 181, 44]}, {\"cell\": \"0-1-2-3-4\", \"bbox\": [433, 33, 468, 44]}, {\"cell\": \"Name of parents, state, city, place\", \"bbox\": [98, 57, 208, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [433, 57, 468, 68]}, {\"cell\": \"Age, month, day of month, day of week\", \"bbox\": [98, 82, 225, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [433, 82, 468, 92]}, {\"cell\": \"Object naming\", \"bbox\": [4, 106, 57, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [98, 106, 163, 116]}, {\"cell\": \"0-1-2-3\", \"bbox\": [433, 106, 461, 116]}, {\"cell\": \"Digit span – forward\", \"bbox\": [4, 130, 77, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [98, 130, 114, 140]}, {\"cell\": \"0-1-2-3-4\", \"bbox\": [433, 130, 468, 140]}, {\"cell\": \"4-7-2\", \"bbox\": [98, 154, 119, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"5-9-3-1\", \"bbox\": [98, 178, 126, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2-7-5-9-4\", \"bbox\": [98, 202, 133, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Digit span – backward\", \"bbox\": [4, 226, 84, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [98, 226, 112, 237]}, {\"cell\": \"0-1-2-3\", \"bbox\": [433, 226, 461, 237]}, {\"cell\": \"2-9-5\", \"bbox\": [98, 250, 119, 261]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"4-1-9-7\", \"bbox\": [98, 274, 126, 285]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Recall\", \"bbox\": [4, 299, 28, 309]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [98, 298, 163, 309]}, {\"cell\": \"0-1-2-3\", \"bbox\": [433, 298, 461, 309]}, {\"cell\": \"Naming body parts\", \"bbox\": [4, 323, 72, 333]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [98, 323, 330, 333]}, {\"cell\": \"0-1-2-3-4-5\", \"bbox\": [433, 323, 475, 333]}, {\"cell\": \"Command\", \"bbox\": [4, 347, 42, 357]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [98, 347, 403, 368]}, {\"cell\": \"0-1-2-3\", \"bbox\": [433, 347, 461, 357]}, {\"cell\": \"Verbal string repetition\", \"bbox\": [4, 382, 85, 392]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [98, 382, 281, 392]}, {\"cell\": \"0-1\", \"bbox\": [433, 382, 446, 392]}, {\"cell\": \"Reading\", \"bbox\": [4, 406, 35, 416]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [98, 406, 264, 416]}, {\"cell\": \"0-1\", \"bbox\": [433, 406, 446, 416]}, {\"cell\": \"Writing\", \"bbox\": [4, 430, 32, 440]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [98, 430, 160, 440]}, {\"cell\": \"0-1\", \"bbox\": [433, 430, 446, 440]}, {\"cell\": \"Constructional praxis\", \"bbox\": [4, 454, 80, 464]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [98, 454, 414, 475]}, {\"cell\": \"0-1\", \"bbox\": [433, 454, 446, 464]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [351, 489, 427, 499]}, {\"cell\": \"37\", \"bbox\": [433, 489, 443, 499]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5674673_009_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Nucleotide changeGene regionWtMtPredicted functionReference
c.-251C>T5′-UTRGCTTCCGGGCTTCTGGNo[EMPTY_CELL]
c.-248C>T5′-UTRGCTTCCGGGTTTCCGGDeletion of Ets-1[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]CTTCCGGAATTTCCGGAAAddition of CNTF[EMPTY_CELL]
c.783+27T>AIntron 3CAGCCTCCTCTGGGCAGCCTCCTCAGGGSplicing activity increased by 49.02%[EMPTY_CELL]
c.997+100C>TIntron 5CCGGGCCGCCAGGGCCGGGCCGCTAGGGSplicing activity decreased by 9.15%[EMPTY_CELL]
c.1004C>AExon6TCCTTCAGGCATCCTTAAGGCAp.S335X[EMPTY_CELL]
c.*645G>A3′-UTRGCCGGCGCCAGCAddition of Swi5[EMPTY_CELL]
*17T>G3′-UTRCCTTAGTGGTCCTTAGTGGGAddition of Mef2a[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Nucleotide change\", \"bbox\": [20, 5, 81, 14]}, {\"cell\": \"Gene region\", \"bbox\": [92, 5, 133, 14]}, {\"cell\": \"Wt\", \"bbox\": [162, 5, 174, 14]}, {\"cell\": \"Mt\", \"bbox\": [253, 5, 264, 14]}, {\"cell\": \"Predicted function\", \"bbox\": [325, 5, 386, 14]}, {\"cell\": \"Reference\", \"bbox\": [405, 5, 439, 14]}, {\"cell\": \"c.-251C>T\", \"bbox\": [20, 17, 57, 26]}, {\"cell\": \"5′-UTR\", \"bbox\": [99, 17, 126, 26]}, {\"cell\": \"GCTTCCGG\", \"bbox\": [144, 17, 189, 26]}, {\"cell\": \"GCTTCTGG\", \"bbox\": [235, 17, 280, 26]}, {\"cell\": \"No\", \"bbox\": [325, 17, 337, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [405, 17, 417, 26]}, {\"cell\": \"c.-248C>T\", \"bbox\": [20, 29, 57, 38]}, {\"cell\": \"5′-UTR\", \"bbox\": [99, 29, 126, 38]}, {\"cell\": \"GCTTCCGG\", \"bbox\": [144, 29, 189, 38]}, {\"cell\": \"GTTTCCGG\", \"bbox\": [235, 29, 280, 38]}, {\"cell\": \"Deletion of Ets-1\", \"bbox\": [325, 29, 382, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [405, 27, 442, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CTTCCGGAA\", \"bbox\": [144, 41, 195, 50]}, {\"cell\": \"TTTCCGGAA\", \"bbox\": [235, 41, 285, 50]}, {\"cell\": \"Addition of CNTF\", \"bbox\": [325, 41, 387, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [405, 39, 452, 50]}, {\"cell\": \"c.783+27T>A\", \"bbox\": [20, 53, 67, 62]}, {\"cell\": \"Intron 3\", \"bbox\": [99, 53, 126, 62]}, {\"cell\": \"CAGCCTCCTCTGGG\", \"bbox\": [144, 53, 222, 62]}, {\"cell\": \"CAGCCTCCTCAGGG\", \"bbox\": [235, 53, 313, 62]}, {\"cell\": \"Splicing activity increased by 49.02%\", \"bbox\": [325, 53, 394, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [405, 53, 417, 62]}, {\"cell\": \"c.997+100C>T\", \"bbox\": [20, 77, 70, 86]}, {\"cell\": \"Intron 5\", \"bbox\": [99, 77, 126, 86]}, {\"cell\": \"CCGGGCCGCCAGGG\", \"bbox\": [144, 77, 224, 86]}, {\"cell\": \"CCGGGCCGCTAGGG\", \"bbox\": [235, 77, 315, 86]}, {\"cell\": \"Splicing activity decreased by 9.15%\", \"bbox\": [325, 77, 392, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [405, 77, 417, 86]}, {\"cell\": \"c.1004C>A\", \"bbox\": [20, 101, 59, 110]}, {\"cell\": \"Exon6\", \"bbox\": [100, 101, 125, 110]}, {\"cell\": \"TCCTTCAGGCA\", \"bbox\": [144, 101, 205, 110]}, {\"cell\": \"TCCTTAAGGCA\", \"bbox\": [235, 101, 297, 110]}, {\"cell\": \"p.S335X\", \"bbox\": [325, 101, 356, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"c.*645G>A\", \"bbox\": [20, 113, 59, 122]}, {\"cell\": \"3′-UTR\", \"bbox\": [99, 113, 126, 122]}, {\"cell\": \"GCCGGC\", \"bbox\": [144, 113, 180, 122]}, {\"cell\": \"GCCAGC\", \"bbox\": [235, 113, 270, 122]}, {\"cell\": \"Addition of Swi5\", \"bbox\": [325, 113, 383, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [405, 113, 417, 122]}, {\"cell\": \"*17T>G\", \"bbox\": [20, 125, 49, 134]}, {\"cell\": \"3′-UTR\", \"bbox\": [99, 125, 126, 134]}, {\"cell\": \"CCTTAGTGGT\", \"bbox\": [144, 125, 200, 134]}, {\"cell\": \"CCTTAGTGGG\", \"bbox\": [235, 125, 291, 134]}, {\"cell\": \"Addition of Mef2a\", \"bbox\": [325, 125, 387, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [405, 123, 470, 134]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3596722_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Men (N = 838)Women (N = 1,121)All (N = 1,959)
N%N%N%
BP + HDL + TRIG*24128.7613211.78373[EMPTY_CELL]
BP + HDL + GLU*445.25181.6162[EMPTY_CELL]
BP + HDL + WAIST*688.1126924337[EMPTY_CELL]
BP + TRIG + GLU536.32100.8963[EMPTY_CELL]
BP + TRIG + WAIST526.21625.53114[EMPTY_CELL]
BP + GLU + WAIST799.4312110.79200[EMPTY_CELL]
HDL + TRIG + GLU151.7970.6222[EMPTY_CELL]
HDL + TRIG + WAIST*101.19484.2858[EMPTY_CELL]
HDL + GLU + WAIST10.12141.2515[EMPTY_CELL]
TRIG + GLU + WAIST20.2430.275[EMPTY_CELL]
BP + HDL + TRIG + GLU*728.59262.3298[EMPTY_CELL]
BP + HDL + TRIG + WAIST*769.0719016.95266[EMPTY_CELL]
BP + HDL + GLU + WAIST242.86776.87101[EMPTY_CELL]
BP + TRIG + GLU + WAIST303.58201.7850[EMPTY_CELL]
HDL + TRIG + GLU + WAIST70.8470.6214[EMPTY_CELL]
BP + HDL + WAIST + TRIG + GLU647.6411710.44181[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Men (N = 838)\", \"bbox\": [156, 4, 208, 13]}, {\"cell\": \"Women (N = 1,121)\", \"bbox\": [281, 4, 350, 13]}, {\"cell\": \"All (N = 1,959)\", \"bbox\": [405, 4, 457, 13]}, {\"cell\": \"N\", \"bbox\": [156, 20, 164, 29]}, {\"cell\": \"%\", \"bbox\": [216, 20, 225, 29]}, {\"cell\": \"N\", \"bbox\": [281, 20, 288, 29]}, {\"cell\": \"%\", \"bbox\": [340, 20, 349, 29]}, {\"cell\": \"N\", \"bbox\": [405, 20, 413, 29]}, {\"cell\": \"%\", \"bbox\": [465, 20, 474, 29]}, {\"cell\": \"BP + HDL + TRIG*\", \"bbox\": [1, 38, 61, 47]}, {\"cell\": \"241\", \"bbox\": [156, 38, 170, 46]}, {\"cell\": \"28.76\", \"bbox\": [216, 38, 235, 46]}, {\"cell\": \"132\", \"bbox\": [281, 38, 295, 46]}, {\"cell\": \"11.78\", \"bbox\": [340, 38, 359, 46]}, {\"cell\": \"373\", \"bbox\": [405, 38, 419, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [465, 38, 484, 46]}, {\"cell\": \"BP + HDL + GLU*\", \"bbox\": [1, 50, 60, 59]}, {\"cell\": \"44\", \"bbox\": [160, 50, 170, 58]}, {\"cell\": \"5.25\", \"bbox\": [220, 50, 235, 58]}, {\"cell\": \"18\", \"bbox\": [285, 50, 295, 58]}, {\"cell\": \"1.61\", \"bbox\": [344, 50, 359, 58]}, {\"cell\": \"62\", \"bbox\": [409, 50, 419, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [469, 50, 484, 58]}, {\"cell\": \"BP + HDL + WAIST*\", \"bbox\": [1, 63, 67, 71]}, {\"cell\": \"68\", \"bbox\": [160, 63, 170, 70]}, {\"cell\": \"8.11\", \"bbox\": [220, 63, 235, 70]}, {\"cell\": \"269\", \"bbox\": [281, 63, 295, 70]}, {\"cell\": \"24\", \"bbox\": [340, 63, 350, 70]}, {\"cell\": \"337\", \"bbox\": [405, 63, 419, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [465, 63, 480, 70]}, {\"cell\": \"BP + TRIG + GLU\", \"bbox\": [1, 75, 58, 83]}, {\"cell\": \"53\", \"bbox\": [160, 75, 170, 82]}, {\"cell\": \"6.32\", \"bbox\": [220, 75, 235, 82]}, {\"cell\": \"10\", \"bbox\": [285, 75, 295, 82]}, {\"cell\": \"0.89\", \"bbox\": [344, 75, 359, 82]}, {\"cell\": \"63\", \"bbox\": [409, 75, 419, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [469, 75, 484, 82]}, {\"cell\": \"BP + TRIG + WAIST\", \"bbox\": [1, 87, 64, 95]}, {\"cell\": \"52\", \"bbox\": [160, 87, 170, 94]}, {\"cell\": \"6.21\", \"bbox\": [220, 87, 235, 94]}, {\"cell\": \"62\", \"bbox\": [285, 87, 295, 94]}, {\"cell\": \"5.53\", \"bbox\": [344, 87, 359, 94]}, {\"cell\": \"114\", \"bbox\": [405, 87, 419, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [469, 87, 484, 94]}, {\"cell\": \"BP + GLU + WAIST\", \"bbox\": [1, 99, 63, 107]}, {\"cell\": \"79\", \"bbox\": [160, 99, 170, 107]}, {\"cell\": \"9.43\", \"bbox\": [220, 99, 235, 107]}, {\"cell\": \"121\", \"bbox\": [281, 99, 295, 107]}, {\"cell\": \"10.79\", \"bbox\": [340, 99, 359, 107]}, {\"cell\": \"200\", \"bbox\": [405, 99, 419, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [465, 99, 484, 107]}, {\"cell\": \"HDL + TRIG + GLU\", \"bbox\": [1, 111, 63, 119]}, {\"cell\": \"15\", \"bbox\": [160, 111, 170, 119]}, {\"cell\": \"1.79\", \"bbox\": [220, 111, 235, 119]}, {\"cell\": \"7\", \"bbox\": [289, 111, 295, 119]}, {\"cell\": \"0.62\", \"bbox\": [344, 111, 359, 119]}, {\"cell\": \"22\", \"bbox\": [409, 111, 419, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [469, 111, 484, 119]}, {\"cell\": \"HDL + TRIG + WAIST*\", \"bbox\": [1, 123, 73, 131]}, {\"cell\": \"10\", \"bbox\": [160, 123, 170, 131]}, {\"cell\": \"1.19\", \"bbox\": [220, 123, 235, 131]}, {\"cell\": \"48\", \"bbox\": [285, 123, 295, 131]}, {\"cell\": \"4.28\", \"bbox\": [344, 123, 359, 131]}, {\"cell\": \"58\", \"bbox\": [409, 123, 419, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [469, 123, 484, 131]}, {\"cell\": \"HDL + GLU + WAIST\", \"bbox\": [1, 135, 69, 143]}, {\"cell\": \"1\", \"bbox\": [164, 135, 170, 143]}, {\"cell\": \"0.12\", \"bbox\": [220, 135, 235, 143]}, {\"cell\": \"14\", \"bbox\": [285, 135, 294, 143]}, {\"cell\": \"1.25\", \"bbox\": [344, 135, 359, 143]}, {\"cell\": \"15\", \"bbox\": [409, 135, 419, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [469, 135, 484, 143]}, {\"cell\": \"TRIG + GLU + WAIST\", \"bbox\": [1, 147, 69, 155]}, {\"cell\": \"2\", \"bbox\": [164, 147, 170, 155]}, {\"cell\": \"0.24\", \"bbox\": [220, 147, 235, 155]}, {\"cell\": \"3\", \"bbox\": [289, 147, 294, 155]}, {\"cell\": \"0.27\", \"bbox\": [344, 147, 359, 155]}, {\"cell\": \"5\", \"bbox\": [413, 147, 419, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [469, 147, 484, 155]}, {\"cell\": \"BP + HDL + TRIG + GLU*\", \"bbox\": [1, 159, 84, 168]}, {\"cell\": \"72\", \"bbox\": [160, 159, 170, 167]}, {\"cell\": \"8.59\", \"bbox\": [220, 159, 235, 167]}, {\"cell\": \"26\", \"bbox\": [285, 159, 294, 167]}, {\"cell\": \"2.32\", \"bbox\": [344, 159, 359, 167]}, {\"cell\": \"98\", \"bbox\": [409, 159, 419, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [469, 159, 475, 167]}, {\"cell\": \"BP + HDL + TRIG + WAIST*\", \"bbox\": [1, 171, 90, 180]}, {\"cell\": \"76\", \"bbox\": [160, 171, 170, 179]}, {\"cell\": \"9.07\", \"bbox\": [220, 171, 235, 179]}, {\"cell\": \"190\", \"bbox\": [281, 171, 294, 179]}, {\"cell\": \"16.95\", \"bbox\": [340, 171, 359, 179]}, {\"cell\": \"266\", \"bbox\": [405, 171, 419, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [465, 171, 484, 179]}, {\"cell\": \"BP + HDL + GLU + WAIST\", \"bbox\": [1, 184, 86, 192]}, {\"cell\": \"24\", \"bbox\": [160, 184, 170, 191]}, {\"cell\": \"2.86\", \"bbox\": [220, 184, 235, 191]}, {\"cell\": \"77\", \"bbox\": [285, 184, 294, 191]}, {\"cell\": \"6.87\", \"bbox\": [344, 184, 359, 191]}, {\"cell\": \"101\", \"bbox\": [405, 184, 419, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [469, 184, 484, 191]}, {\"cell\": \"BP + TRIG + GLU + WAIST\", \"bbox\": [1, 196, 87, 204]}, {\"cell\": \"30\", \"bbox\": [160, 196, 170, 203]}, {\"cell\": \"3.58\", \"bbox\": [220, 196, 235, 203]}, {\"cell\": \"20\", \"bbox\": [285, 196, 294, 203]}, {\"cell\": \"1.78\", \"bbox\": [344, 196, 359, 203]}, {\"cell\": \"50\", \"bbox\": [409, 196, 419, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [469, 196, 484, 203]}, {\"cell\": \"HDL + TRIG + GLU + WAIST\", \"bbox\": [1, 208, 93, 216]}, {\"cell\": \"7\", \"bbox\": [164, 208, 170, 215]}, {\"cell\": \"0.84\", \"bbox\": [220, 208, 235, 215]}, {\"cell\": \"7\", \"bbox\": [289, 208, 294, 215]}, {\"cell\": \"0.62\", \"bbox\": [344, 208, 359, 215]}, {\"cell\": \"14\", \"bbox\": [409, 208, 419, 215]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [469, 208, 484, 215]}, {\"cell\": \"BP + HDL + WAIST + TRIG + GLU\", \"bbox\": [0, 220, 110, 228]}, {\"cell\": \"64\", \"bbox\": [160, 220, 170, 228]}, {\"cell\": \"7.64\", \"bbox\": [220, 220, 235, 228]}, {\"cell\": \"117\", \"bbox\": [281, 220, 294, 228]}, {\"cell\": \"10.44\", \"bbox\": [340, 220, 359, 228]}, {\"cell\": \"181\", \"bbox\": [405, 220, 419, 228]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [469, 220, 484, 228]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4493262_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Clinician EBP use
[EMPTY_CELL]Cross-sectional analysis (baseline)Lagged analysis (2-year follow-up)
PredictorB (SE)B (SE)B (SE)B (SE)
Intercept3.175 (.079)**3.060 (.071)**[EMPTY_CELL]3.213 (.063)**
Tenure in organization.024 (.012).025 (.012)*[EMPTY_CELL].020 (.012)
Average hours per week.007 (.005).007 (.004)[EMPTY_CELL].008 (.003)*
Education level (doctoral).071 (.231)− .014 (.229)[EMPTY_CELL]− .094 (.176)
CBT theoretical orientation.118 (.127).187 (.122)[EMPTY_CELL].093 (.090)
Attitudes towards EBP.019 (.113)− .025 (.116)[EMPTY_CELL].136 (.099)
Organization size (# of therapists).017 (.007)*.012 (.005)*[EMPTY_CELL].003 (.004)
Molar climate (baseline)− .012 (.008).001 (.008)[EMPTY_CELL].002 (.007)
Implementation climate (baseline).480 (.239)*.154 (.217)[EMPTY_CELL].016 (.198)
Molar climate x implementation climate[EMPTY_CELL].021 (.007)**[EMPTY_CELL].012 (.005)*
Pseudo model R2.63.98[EMPTY_CELL].98
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Clinician EBP use\", \"bbox\": [166, 4, 222, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Cross-sectional analysis (baseline)\", \"bbox\": [166, 17, 274, 27]}, {\"cell\": \"Lagged analysis (2-year follow-up)\", \"bbox\": [342, 17, 453, 27]}, {\"cell\": \"Predictor\", \"bbox\": [1, 30, 31, 40]}, {\"cell\": \"B (SE)\", \"bbox\": [166, 30, 186, 40]}, {\"cell\": \"B (SE)\", \"bbox\": [254, 30, 274, 40]}, {\"cell\": \"B (SE)\", \"bbox\": [342, 30, 361, 40]}, {\"cell\": \"B (SE)\", \"bbox\": [431, 30, 451, 40]}, {\"cell\": \"Intercept\", \"bbox\": [0, 43, 31, 53]}, {\"cell\": \"3.175 (.079)**\", \"bbox\": [166, 43, 210, 53]}, {\"cell\": \"3.060 (.071)**\", \"bbox\": [254, 43, 298, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [342, 43, 386, 53]}, {\"cell\": \"3.213 (.063)**\", \"bbox\": [431, 43, 475, 53]}, {\"cell\": \"Tenure in organization\", \"bbox\": [0, 57, 75, 67]}, {\"cell\": \".024 (.012)\", \"bbox\": [166, 57, 200, 67]}, {\"cell\": \".025 (.012)*\", \"bbox\": [254, 57, 291, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [342, 57, 376, 67]}, {\"cell\": \".020 (.012)\", \"bbox\": [431, 57, 465, 67]}, {\"cell\": \"Average hours per week\", \"bbox\": [0, 71, 81, 81]}, {\"cell\": \".007 (.005)\", \"bbox\": [166, 71, 200, 81]}, {\"cell\": \".007 (.004)\", \"bbox\": [254, 71, 288, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [342, 71, 376, 81]}, {\"cell\": \".008 (.003)*\", \"bbox\": [431, 71, 468, 81]}, {\"cell\": \"Education level (doctoral)\", \"bbox\": [0, 85, 84, 95]}, {\"cell\": \".071 (.231)\", \"bbox\": [166, 85, 200, 95]}, {\"cell\": \"− .014 (.229)\", \"bbox\": [254, 85, 294, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [342, 85, 382, 95]}, {\"cell\": \"− .094 (.176)\", \"bbox\": [431, 85, 471, 95]}, {\"cell\": \"CBT theoretical orientation\", \"bbox\": [1, 99, 88, 109]}, {\"cell\": \".118 (.127)\", \"bbox\": [166, 99, 200, 109]}, {\"cell\": \".187 (.122)\", \"bbox\": [254, 99, 288, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [342, 99, 376, 109]}, {\"cell\": \".093 (.090)\", \"bbox\": [431, 99, 465, 109]}, {\"cell\": \"Attitudes towards EBP\", \"bbox\": [1, 113, 73, 123]}, {\"cell\": \".019 (.113)\", \"bbox\": [166, 113, 200, 123]}, {\"cell\": \"− .025 (.116)\", \"bbox\": [254, 113, 295, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [342, 113, 376, 123]}, {\"cell\": \".136 (.099)\", \"bbox\": [431, 113, 465, 123]}, {\"cell\": \"Organization size (# of therapists)\", \"bbox\": [1, 127, 109, 137]}, {\"cell\": \".017 (.007)*\", \"bbox\": [166, 127, 204, 137]}, {\"cell\": \".012 (.005)*\", \"bbox\": [254, 127, 291, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [342, 127, 376, 137]}, {\"cell\": \".003 (.004)\", \"bbox\": [431, 127, 465, 137]}, {\"cell\": \"Molar climate (baseline)\", \"bbox\": [1, 141, 79, 151]}, {\"cell\": \"− .012 (.008)\", \"bbox\": [166, 141, 207, 151]}, {\"cell\": \".001 (.008)\", \"bbox\": [254, 141, 288, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [342, 141, 382, 151]}, {\"cell\": \".002 (.007)\", \"bbox\": [431, 141, 465, 151]}, {\"cell\": \"Implementation climate (baseline)\", \"bbox\": [1, 155, 112, 165]}, {\"cell\": \".480 (.239)*\", \"bbox\": [166, 155, 204, 165]}, {\"cell\": \".154 (.217)\", \"bbox\": [254, 155, 288, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [342, 155, 379, 165]}, {\"cell\": \".016 (.198)\", \"bbox\": [431, 155, 465, 165]}, {\"cell\": \"Molar climate x implementation climate\", \"bbox\": [1, 169, 131, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".021 (.007)**\", \"bbox\": [254, 169, 294, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".012 (.005)*\", \"bbox\": [431, 169, 468, 179]}, {\"cell\": \"Pseudo model R2\", \"bbox\": [1, 182, 56, 193]}, {\"cell\": \".63\", \"bbox\": [166, 183, 177, 193]}, {\"cell\": \".98\", \"bbox\": [254, 183, 265, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [342, 183, 353, 193]}, {\"cell\": \".98\", \"bbox\": [431, 183, 442, 193]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC6019309_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
PolymorphismGenetic modelParticipantsOR (95% CI)Chi2P value
rs5743842TT vs. TC + CC180[EMPTY_CELL]__
[EMPTY_CELL]CC vs. TC + TT180[EMPTY_CELL]_0.50
[EMPTY_CELL]TT vs. CC178[EMPTY_CELL]__
[EMPTY_CELL]TT vs. TC2[EMPTY_CELL]__
[EMPTY_CELL]T vs C360[EMPTY_CELL]__
rs352165TT vs. TC + CC764[EMPTY_CELL]0.280.60
[EMPTY_CELL]CC vs. TC + TT764[EMPTY_CELL]0.270.60
[EMPTY_CELL]TT vs. CC364[EMPTY_CELL]0.010.92
[EMPTY_CELL]TT vs. TC543[EMPTY_CELL]0.520.47
[EMPTY_CELL]T vs C1528[EMPTY_CELL]0.000.96
rs352140AA vs. AG + GG396[EMPTY_CELL]0.900.34
[EMPTY_CELL]GG vs. AG + AA396[EMPTY_CELL]0.000.96
[EMPTY_CELL]AA vs. AG253[EMPTY_CELL]0.990.32
[EMPTY_CELL]AA vs. GG215[EMPTY_CELL]0.520.47
[EMPTY_CELL]A vs G792[EMPTY_CELL]0.310.58
rs352167AA vs. AG + GG764[EMPTY_CELL]0.260.61
[EMPTY_CELL]GG vs. AG + AA764[EMPTY_CELL]0.290.59
[EMPTY_CELL]AA vs. AG561[EMPTY_CELL]0.500.48
[EMPTY_CELL]AA vs. GG364[EMPTY_CELL]0.000.97
[EMPTY_CELL]A vs G1528[EMPTY_CELL]0.000.97
\", \"cells\": [{\"cell\": \"Polymorphism\", \"bbox\": [1, 4, 53, 13]}, {\"cell\": \"Genetic model\", \"bbox\": [101, 4, 154, 13]}, {\"cell\": \"Participants\", \"bbox\": [202, 4, 245, 13]}, {\"cell\": \"OR (95% CI)\", \"bbox\": [293, 4, 336, 13]}, {\"cell\": \"Chi2\", \"bbox\": [392, 2, 409, 13]}, {\"cell\": \"P value\", \"bbox\": [457, 4, 484, 13]}, {\"cell\": \"rs5743842\", \"bbox\": [1, 17, 35, 26]}, {\"cell\": \"TT vs. TC + CC\", \"bbox\": [101, 17, 148, 26]}, {\"cell\": \"180\", \"bbox\": [202, 17, 215, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 17, 299, 26]}, {\"cell\": \"_\", \"bbox\": [392, 17, 398, 26]}, {\"cell\": \"_\", \"bbox\": [457, 17, 463, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CC vs. TC + TT\", \"bbox\": [101, 31, 148, 40]}, {\"cell\": \"180\", \"bbox\": [202, 31, 215, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 31, 326, 40]}, {\"cell\": \"_\", \"bbox\": [392, 31, 398, 40]}, {\"cell\": \"0.50\", \"bbox\": [457, 31, 472, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TT vs. CC\", \"bbox\": [101, 45, 132, 54]}, {\"cell\": \"178\", \"bbox\": [202, 45, 215, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 45, 299, 54]}, {\"cell\": \"_\", \"bbox\": [392, 45, 398, 54]}, {\"cell\": \"_\", \"bbox\": [457, 45, 463, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TT vs. TC\", \"bbox\": [101, 59, 131, 68]}, {\"cell\": \"2\", \"bbox\": [202, 59, 208, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 59, 299, 68]}, {\"cell\": \"_\", \"bbox\": [392, 59, 398, 68]}, {\"cell\": \"_\", \"bbox\": [457, 59, 463, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"T vs C\", \"bbox\": [101, 73, 122, 82]}, {\"cell\": \"360\", \"bbox\": [202, 73, 215, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 73, 299, 82]}, {\"cell\": \"_\", \"bbox\": [392, 73, 398, 82]}, {\"cell\": \"_\", \"bbox\": [457, 73, 463, 82]}, {\"cell\": \"rs352165\", \"bbox\": [1, 87, 31, 96]}, {\"cell\": \"TT vs. TC + CC\", \"bbox\": [101, 87, 148, 96]}, {\"cell\": \"764\", \"bbox\": [202, 87, 215, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 87, 344, 96]}, {\"cell\": \"0.28\", \"bbox\": [392, 87, 407, 96]}, {\"cell\": \"0.60\", \"bbox\": [457, 87, 472, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CC vs. TC + TT\", \"bbox\": [101, 101, 148, 110]}, {\"cell\": \"764\", \"bbox\": [202, 101, 215, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 101, 344, 110]}, {\"cell\": \"0.27\", \"bbox\": [392, 101, 407, 110]}, {\"cell\": \"0.60\", \"bbox\": [457, 101, 472, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TT vs. CC\", \"bbox\": [101, 115, 132, 124]}, {\"cell\": \"364\", \"bbox\": [202, 115, 215, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 115, 344, 124]}, {\"cell\": \"0.01\", \"bbox\": [392, 115, 407, 124]}, {\"cell\": \"0.92\", \"bbox\": [457, 115, 472, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TT vs. TC\", \"bbox\": [101, 129, 131, 138]}, {\"cell\": \"543\", \"bbox\": [202, 129, 215, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 129, 344, 138]}, {\"cell\": \"0.52\", \"bbox\": [392, 129, 407, 138]}, {\"cell\": \"0.47\", \"bbox\": [457, 129, 472, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"T vs C\", \"bbox\": [101, 143, 122, 152]}, {\"cell\": \"1528\", \"bbox\": [202, 143, 219, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 143, 344, 152]}, {\"cell\": \"0.00\", \"bbox\": [392, 143, 407, 152]}, {\"cell\": \"0.96\", \"bbox\": [457, 143, 472, 152]}, {\"cell\": \"rs352140\", \"bbox\": [1, 157, 31, 166]}, {\"cell\": \"AA vs. AG + GG\", \"bbox\": [101, 157, 152, 166]}, {\"cell\": \"396\", \"bbox\": [202, 157, 215, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 157, 344, 166]}, {\"cell\": \"0.90\", \"bbox\": [392, 157, 407, 166]}, {\"cell\": \"0.34\", \"bbox\": [457, 157, 472, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"GG vs. AG + AA\", \"bbox\": [101, 171, 152, 180]}, {\"cell\": \"396\", \"bbox\": [202, 171, 215, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 171, 344, 180]}, {\"cell\": \"0.00\", \"bbox\": [392, 171, 407, 180]}, {\"cell\": \"0.96\", \"bbox\": [457, 171, 472, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"AA vs. AG\", \"bbox\": [101, 185, 135, 194]}, {\"cell\": \"253\", \"bbox\": [202, 185, 215, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 185, 344, 194]}, {\"cell\": \"0.99\", \"bbox\": [392, 185, 407, 194]}, {\"cell\": \"0.32\", \"bbox\": [457, 185, 472, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"AA vs. GG\", \"bbox\": [101, 199, 135, 208]}, {\"cell\": \"215\", \"bbox\": [202, 199, 215, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 199, 344, 208]}, {\"cell\": \"0.52\", \"bbox\": [392, 199, 407, 208]}, {\"cell\": \"0.47\", \"bbox\": [457, 199, 472, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"A vs G\", \"bbox\": [101, 213, 124, 222]}, {\"cell\": \"792\", \"bbox\": [202, 213, 215, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 213, 344, 222]}, {\"cell\": \"0.31\", \"bbox\": [392, 213, 407, 222]}, {\"cell\": \"0.58\", \"bbox\": [457, 213, 472, 222]}, {\"cell\": \"rs352167\", \"bbox\": [1, 227, 31, 236]}, {\"cell\": \"AA vs. AG + GG\", \"bbox\": [101, 227, 152, 236]}, {\"cell\": \"764\", \"bbox\": [202, 227, 215, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 227, 344, 236]}, {\"cell\": \"0.26\", \"bbox\": [392, 227, 407, 236]}, {\"cell\": \"0.61\", \"bbox\": [457, 227, 472, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"GG vs. AG + AA\", \"bbox\": [101, 241, 152, 250]}, {\"cell\": \"764\", \"bbox\": [202, 241, 215, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 241, 344, 250]}, {\"cell\": \"0.29\", \"bbox\": [392, 241, 407, 250]}, {\"cell\": \"0.59\", \"bbox\": [457, 241, 472, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"AA vs. AG\", \"bbox\": [101, 255, 135, 264]}, {\"cell\": \"561\", \"bbox\": [202, 255, 215, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 255, 344, 264]}, {\"cell\": \"0.50\", \"bbox\": [392, 255, 407, 264]}, {\"cell\": \"0.48\", \"bbox\": [457, 255, 472, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"AA vs. GG\", \"bbox\": [101, 269, 135, 278]}, {\"cell\": \"364\", \"bbox\": [202, 269, 215, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 269, 344, 278]}, {\"cell\": \"0.00\", \"bbox\": [392, 269, 407, 278]}, {\"cell\": \"0.97\", \"bbox\": [457, 269, 472, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"A vs G\", \"bbox\": [101, 283, 124, 292]}, {\"cell\": \"1528\", \"bbox\": [202, 283, 219, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 283, 344, 292]}, {\"cell\": \"0.00\", \"bbox\": [392, 283, 407, 292]}, {\"cell\": \"0.97\", \"bbox\": [457, 283, 472, 292]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4460768_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
DiseasesChildren < 5 yearsPatients ≥5 yearsTotal casesPercentage of all cases (%)
Teeth and gum diseases3,642[EMPTY_CELL]83,54615
Allergic conjunctivitis5,769[EMPTY_CELL]40,1267
Eye diseases2,066[EMPTY_CELL]28,2515
Gastro-intestinal disorders0[EMPTY_CELL]20,2304
ARIs5,716[EMPTY_CELL]17,0093
Skin diseases2,345[EMPTY_CELL]16,2093
Gynecological and obstetric diseases80[EMPTY_CELL]15,7843
Physical trauma1,327[EMPTY_CELL]15,5213
Urinary tract diseases759[EMPTY_CELL]15,3923
Epilepsy1,033[EMPTY_CELL]14,1163
Other diagnoses45,940[EMPTY_CELL]278,72651
Total68,677[EMPTY_CELL]544,910100
\", \"cells\": [{\"cell\": \"Diseases\", \"bbox\": [1, 8, 35, 18]}, {\"cell\": \"Children < 5 years\", \"bbox\": [164, 8, 230, 18]}, {\"cell\": \"Patients ≥5 years\", \"bbox\": [243, 8, 312, 18]}, {\"cell\": \"Total cases\", \"bbox\": [323, 8, 365, 18]}, {\"cell\": \"Percentage of all cases (%)\", \"bbox\": [379, 8, 480, 18]}, {\"cell\": \"Teeth and gum diseases\", \"bbox\": [1, 29, 90, 38]}, {\"cell\": \"3,642\", \"bbox\": [188, 29, 210, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 29, 293, 38]}, {\"cell\": \"83,546\", \"bbox\": [333, 29, 360, 38]}, {\"cell\": \"15\", \"bbox\": [426, 29, 437, 38]}, {\"cell\": \"Allergic conjunctivitis\", \"bbox\": [1, 40, 77, 50]}, {\"cell\": \"5,769\", \"bbox\": [188, 40, 210, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 40, 293, 50]}, {\"cell\": \"40,126\", \"bbox\": [333, 40, 360, 50]}, {\"cell\": \"7\", \"bbox\": [431, 40, 437, 50]}, {\"cell\": \"Eye diseases\", \"bbox\": [1, 52, 50, 62]}, {\"cell\": \"2,066\", \"bbox\": [188, 52, 210, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 52, 293, 62]}, {\"cell\": \"28,251\", \"bbox\": [333, 52, 360, 62]}, {\"cell\": \"5\", \"bbox\": [431, 52, 437, 62]}, {\"cell\": \"Gastro-intestinal disorders\", \"bbox\": [1, 64, 97, 74]}, {\"cell\": \"0\", \"bbox\": [204, 64, 210, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 64, 293, 74]}, {\"cell\": \"20,230\", \"bbox\": [333, 64, 360, 74]}, {\"cell\": \"4\", \"bbox\": [431, 64, 437, 74]}, {\"cell\": \"ARIs\", \"bbox\": [1, 76, 19, 86]}, {\"cell\": \"5,716\", \"bbox\": [188, 76, 210, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 76, 293, 86]}, {\"cell\": \"17,009\", \"bbox\": [333, 76, 360, 86]}, {\"cell\": \"3\", \"bbox\": [431, 76, 437, 86]}, {\"cell\": \"Skin diseases\", \"bbox\": [1, 88, 52, 98]}, {\"cell\": \"2,345\", \"bbox\": [188, 88, 210, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 88, 293, 98]}, {\"cell\": \"16,209\", \"bbox\": [333, 88, 360, 98]}, {\"cell\": \"3\", \"bbox\": [431, 88, 437, 98]}, {\"cell\": \"Gynecological and obstetric diseases\", \"bbox\": [1, 100, 137, 110]}, {\"cell\": \"80\", \"bbox\": [199, 100, 210, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 100, 293, 110]}, {\"cell\": \"15,784\", \"bbox\": [333, 100, 360, 110]}, {\"cell\": \"3\", \"bbox\": [431, 100, 437, 110]}, {\"cell\": \"Physical trauma\", \"bbox\": [1, 112, 60, 122]}, {\"cell\": \"1,327\", \"bbox\": [188, 112, 210, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 112, 293, 122]}, {\"cell\": \"15,521\", \"bbox\": [333, 112, 360, 122]}, {\"cell\": \"3\", \"bbox\": [431, 112, 437, 122]}, {\"cell\": \"Urinary tract diseases\", \"bbox\": [1, 124, 81, 134]}, {\"cell\": \"759\", \"bbox\": [195, 124, 210, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 124, 293, 134]}, {\"cell\": \"15,392\", \"bbox\": [333, 124, 360, 134]}, {\"cell\": \"3\", \"bbox\": [431, 124, 437, 134]}, {\"cell\": \"Epilepsy\", \"bbox\": [1, 136, 33, 146]}, {\"cell\": \"1,033\", \"bbox\": [188, 136, 210, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 136, 293, 146]}, {\"cell\": \"14,116\", \"bbox\": [333, 136, 360, 146]}, {\"cell\": \"3\", \"bbox\": [431, 136, 437, 146]}, {\"cell\": \"Other diagnoses\", \"bbox\": [1, 148, 61, 158]}, {\"cell\": \"45,940\", \"bbox\": [184, 148, 210, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [262, 148, 293, 158]}, {\"cell\": \"278,726\", \"bbox\": [329, 148, 360, 158]}, {\"cell\": \"51\", \"bbox\": [426, 148, 437, 158]}, {\"cell\": \"Total\", \"bbox\": [1, 160, 19, 170]}, {\"cell\": \"68,677\", \"bbox\": [184, 160, 210, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [262, 160, 293, 170]}, {\"cell\": \"544,910\", \"bbox\": [329, 160, 360, 170]}, {\"cell\": \"100\", \"bbox\": [422, 160, 437, 170]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3593139_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Variable, No. (%)All(n = 103)Treatment Failure(n = 42)No Treatment Failure(n = 61)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]13.1 (7.2)12.7 (6.9)13.4 (7.4)
[EMPTY_CELL]12 (4–44)11 (4–40)12 (4–44)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]5 (4.9)05 (8.2) †
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]1.2 (0.9)1.0 (0.6)1.2 (1.0)
[EMPTY_CELL]1.0 (0.1–4.4)0.9 (0.2–2.6)1.0 (0.1–4.4)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]218 (93)229 (99)211 (88)
[EMPTY_CELL]16 (15.5)4 (9.5)12 (19.7)
[EMPTY_CELL]71 (68.9)31 (73.8)40 (65.6)
[EMPTY_CELL]16 (15.5)7 (16.7)9 (14.8)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]6.1 (4.8)5.3 (3.5)6.7 (5.4)
[EMPTY_CELL]5 (1–24)4 (1–19)5 (1–24)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]35 (34.0)25 (59.5)10 (16.4) ‡
[EMPTY_CELL]0[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]11 (10.7)011 (18.0) ‡
[EMPTY_CELL]92 (89.3)42 (100%)50 (82.0)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]36 (35.0)36 (85.7)0 ‡
[EMPTY_CELL]16 (15.5)16 (38.1)0 ‡
[EMPTY_CELL]17 (16.5)17 (40.5)0 ‡
[EMPTY_CELL]1 (1.0)1 (2.4)0
[EMPTY_CELL]2 (1.9)2 (4.8)0
[EMPTY_CELL]41 (39.8)1 (2.4) **40 (65.6) ‡
[EMPTY_CELL]15 (14.6)5 (11.9) **10 (16.4)
\", \"cells\": [{\"cell\": \"Variable, No. (%)\", \"bbox\": [4, 5, 72, 14]}, {\"cell\": \"All(n = 103)\", \"bbox\": [280, 5, 316, 23]}, {\"cell\": \"Treatment Failure(n = 42)\", \"bbox\": [330, 5, 403, 23]}, {\"cell\": \"No Treatment Failure(n = 61)\", \"bbox\": [410, 5, 498, 23]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 36, 126, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 46, 52, 56]}, {\"cell\": \"13.1 (7.2)\", \"bbox\": [280, 46, 314, 56]}, {\"cell\": \"12.7 (6.9)\", \"bbox\": [330, 46, 364, 56]}, {\"cell\": \"13.4 (7.4)\", \"bbox\": [410, 46, 444, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 56, 67, 66]}, {\"cell\": \"12 (4–44)\", \"bbox\": [280, 56, 314, 66]}, {\"cell\": \"11 (4–40)\", \"bbox\": [330, 56, 364, 66]}, {\"cell\": \"12 (4–44)\", \"bbox\": [410, 56, 444, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 66, 213, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 77, 69, 87]}, {\"cell\": \"5 (4.9)\", \"bbox\": [280, 77, 304, 87]}, {\"cell\": \"0\", \"bbox\": [330, 77, 336, 87]}, {\"cell\": \"5 (8.2) †\", \"bbox\": [410, 77, 440, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 87, 103, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 97, 52, 107]}, {\"cell\": \"1.2 (0.9)\", \"bbox\": [280, 97, 309, 107]}, {\"cell\": \"1.0 (0.6)\", \"bbox\": [330, 97, 360, 107]}, {\"cell\": \"1.2 (1.0)\", \"bbox\": [410, 97, 439, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 108, 66, 117]}, {\"cell\": \"1.0 (0.1–4.4)\", \"bbox\": [280, 108, 324, 117]}, {\"cell\": \"0.9 (0.2–2.6)\", \"bbox\": [330, 108, 374, 117]}, {\"cell\": \"1.0 (0.1–4.4)\", \"bbox\": [410, 108, 454, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 118, 145, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 128, 52, 138]}, {\"cell\": \"218 (93)\", \"bbox\": [280, 128, 310, 138]}, {\"cell\": \"229 (99)\", \"bbox\": [330, 128, 360, 138]}, {\"cell\": \"211 (88)\", \"bbox\": [410, 128, 440, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 138, 62, 148]}, {\"cell\": \"16 (15.5)\", \"bbox\": [280, 138, 312, 148]}, {\"cell\": \"4 (9.5)\", \"bbox\": [330, 138, 354, 148]}, {\"cell\": \"12 (19.7)\", \"bbox\": [410, 138, 442, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 148, 41, 158]}, {\"cell\": \"71 (68.9)\", \"bbox\": [280, 148, 312, 158]}, {\"cell\": \"31 (73.8)\", \"bbox\": [330, 148, 362, 158]}, {\"cell\": \"40 (65.6)\", \"bbox\": [410, 148, 442, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 159, 62, 169]}, {\"cell\": \"16 (15.5)\", \"bbox\": [280, 159, 312, 169]}, {\"cell\": \"7 (16.7)\", \"bbox\": [330, 159, 358, 169]}, {\"cell\": \"9 (14.8)\", \"bbox\": [410, 159, 438, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 169, 103, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 179, 52, 189]}, {\"cell\": \"6.1 (4.8)\", \"bbox\": [280, 179, 309, 189]}, {\"cell\": \"5.3 (3.5)\", \"bbox\": [330, 179, 360, 189]}, {\"cell\": \"6.7 (5.4)\", \"bbox\": [410, 179, 439, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 189, 67, 199]}, {\"cell\": \"5 (1–24)\", \"bbox\": [280, 189, 310, 199]}, {\"cell\": \"4 (1–19)\", \"bbox\": [330, 189, 360, 199]}, {\"cell\": \"5 (1–24)\", \"bbox\": [410, 189, 440, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 200, 122, 210]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 210, 69, 220]}, {\"cell\": \"35 (34.0)\", \"bbox\": [280, 210, 312, 220]}, {\"cell\": \"25 (59.5)\", \"bbox\": [330, 210, 362, 220]}, {\"cell\": \"10 (16.4) ‡\", \"bbox\": [410, 210, 448, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 220, 119, 230]}, {\"cell\": \"0\", \"bbox\": [280, 220, 286, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 231, 99, 240]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 241, 107, 251]}, {\"cell\": \"11 (10.7)\", \"bbox\": [280, 241, 312, 251]}, {\"cell\": \"0\", \"bbox\": [330, 241, 336, 251]}, {\"cell\": \"11 (18.0) ‡\", \"bbox\": [410, 241, 448, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 251, 106, 261]}, {\"cell\": \"92 (89.3)\", \"bbox\": [280, 251, 312, 261]}, {\"cell\": \"42 (100%)\", \"bbox\": [330, 251, 366, 261]}, {\"cell\": \"50 (82.0)\", \"bbox\": [410, 251, 442, 261]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 261, 121, 271]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 271, 75, 281]}, {\"cell\": \"36 (35.0)\", \"bbox\": [280, 271, 312, 281]}, {\"cell\": \"36 (85.7)\", \"bbox\": [330, 271, 362, 281]}, {\"cell\": \"0 ‡\", \"bbox\": [410, 271, 422, 281]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 282, 190, 292]}, {\"cell\": \"16 (15.5)\", \"bbox\": [280, 282, 312, 292]}, {\"cell\": \"16 (38.1)\", \"bbox\": [330, 282, 362, 292]}, {\"cell\": \"0 ‡\", \"bbox\": [410, 282, 422, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 292, 255, 311]}, {\"cell\": \"17 (16.5)\", \"bbox\": [280, 292, 312, 302]}, {\"cell\": \"17 (40.5)\", \"bbox\": [330, 292, 362, 302]}, {\"cell\": \"0 ‡\", \"bbox\": [410, 292, 422, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 312, 134, 321]}, {\"cell\": \"1 (1.0)\", \"bbox\": [280, 312, 304, 321]}, {\"cell\": \"1 (2.4)\", \"bbox\": [330, 312, 354, 321]}, {\"cell\": \"0\", \"bbox\": [410, 312, 416, 321]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 322, 66, 332]}, {\"cell\": \"2 (1.9)\", \"bbox\": [280, 322, 304, 332]}, {\"cell\": \"2 (4.8)\", \"bbox\": [330, 322, 354, 332]}, {\"cell\": \"0\", \"bbox\": [410, 322, 416, 332]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 332, 105, 342]}, {\"cell\": \"41 (39.8)\", \"bbox\": [280, 332, 312, 342]}, {\"cell\": \"1 (2.4) **\", \"bbox\": [330, 332, 363, 342]}, {\"cell\": \"40 (65.6) ‡\", \"bbox\": [410, 332, 448, 342]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 342, 117, 352]}, {\"cell\": \"15 (14.6)\", \"bbox\": [280, 342, 312, 352]}, {\"cell\": \"5 (11.9) **\", \"bbox\": [330, 342, 367, 352]}, {\"cell\": \"10 (16.4)\", \"bbox\": [410, 342, 442, 352]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC1702543_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Physician diagnosed mood/anxiety[EMPTY_CELL]
[EMPTY_CELL]Yes[EMPTY_CELL][EMPTY_CELL]
N=68N=1,264
Sleep complaintsMean ± SD or %[EMPTY_CELL]P-value
Sleep hours during pregnancy (hours)7.6 ± 1.7[EMPTY_CELL]0.34*
≤623.5[EMPTY_CELL]0.08**
7-845.6[EMPTY_CELL][EMPTY_CELL]
≥929.4[EMPTY_CELL][EMPTY_CELL]
Missing1.5[EMPTY_CELL][EMPTY_CELL]
Epworth sleepiness scale during pregnancy (score)8.0 ± 3.4[EMPTY_CELL]0.39*
Normal (0–9)66.2[EMPTY_CELL]0.53**
Borderline (10–12)22.0[EMPTY_CELL][EMPTY_CELL]
Abnormal (13–24)11.8[EMPTY_CELL][EMPTY_CELL]
Vital exhaustion during pregnancy[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Never27.9[EMPTY_CELL]<0.001**
Infrequently29.4[EMPTY_CELL][EMPTY_CELL]
Frequently17.7[EMPTY_CELL][EMPTY_CELL]
Very frequently25.0[EMPTY_CELL][EMPTY_CELL]
Missing0.0[EMPTY_CELL][EMPTY_CELL]
Perceived stress scale (score)5.1 ± 2.5[EMPTY_CELL]<0.001*
0-325.0[EMPTY_CELL]<0.001**
4-644.1[EMPTY_CELL][EMPTY_CELL]
7-1230.9[EMPTY_CELL][EMPTY_CELL]
Missing0.0[EMPTY_CELL][EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Physician diagnosed mood/anxiety\", \"bbox\": [222, 4, 345, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Yes\", \"bbox\": [222, 17, 236, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 17, 351, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"N=68\", \"bbox\": [222, 31, 243, 41]}, {\"cell\": \"N=1,264\", \"bbox\": [339, 31, 370, 41]}, {\"cell\": \"Sleep complaints\", \"bbox\": [1, 45, 62, 55]}, {\"cell\": \"Mean ± SD or %\", \"bbox\": [222, 45, 281, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 45, 398, 55]}, {\"cell\": \"P-value\", \"bbox\": [456, 45, 484, 55]}, {\"cell\": \"Sleep hours during pregnancy (hours)\", \"bbox\": [1, 58, 124, 68]}, {\"cell\": \"7.6 ± 1.7\", \"bbox\": [222, 58, 252, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 58, 369, 68]}, {\"cell\": \"0.34*\", \"bbox\": [456, 57, 474, 68]}, {\"cell\": \"≤6\", \"bbox\": [8, 72, 20, 82]}, {\"cell\": \"23.5\", \"bbox\": [222, 72, 237, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 72, 354, 82]}, {\"cell\": \"0.08**\", \"bbox\": [456, 71, 476, 82]}, {\"cell\": \"7-8\", \"bbox\": [8, 86, 20, 96]}, {\"cell\": \"45.6\", \"bbox\": [222, 86, 237, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 86, 354, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"≥9\", \"bbox\": [8, 100, 20, 110]}, {\"cell\": \"29.4\", \"bbox\": [222, 100, 237, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 100, 354, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Missing\", \"bbox\": [8, 114, 34, 124]}, {\"cell\": \"1.5\", \"bbox\": [222, 114, 233, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 114, 350, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Epworth sleepiness scale during pregnancy (score)\", \"bbox\": [1, 128, 165, 138]}, {\"cell\": \"8.0 ± 3.4\", \"bbox\": [222, 128, 252, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 128, 369, 138]}, {\"cell\": \"0.39*\", \"bbox\": [456, 127, 474, 138]}, {\"cell\": \"Normal (0–9)\", \"bbox\": [8, 142, 52, 152]}, {\"cell\": \"66.2\", \"bbox\": [222, 142, 237, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 142, 354, 152]}, {\"cell\": \"0.53**\", \"bbox\": [456, 141, 476, 152]}, {\"cell\": \"Borderline (10–12)\", \"bbox\": [8, 156, 69, 166]}, {\"cell\": \"22.0\", \"bbox\": [222, 156, 237, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 156, 354, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Abnormal (13–24)\", \"bbox\": [8, 170, 68, 180]}, {\"cell\": \"11.8\", \"bbox\": [222, 170, 237, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 170, 350, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Vital exhaustion during pregnancy\", \"bbox\": [0, 184, 113, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Never\", \"bbox\": [8, 198, 29, 208]}, {\"cell\": \"27.9\", \"bbox\": [222, 198, 237, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 198, 354, 208]}, {\"cell\": \"<0.001**\", \"bbox\": [456, 197, 484, 208]}, {\"cell\": \"Infrequently\", \"bbox\": [8, 212, 49, 222]}, {\"cell\": \"29.4\", \"bbox\": [222, 212, 237, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 212, 354, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Frequently\", \"bbox\": [8, 226, 44, 236]}, {\"cell\": \"17.7\", \"bbox\": [222, 226, 237, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 226, 350, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Very frequently\", \"bbox\": [8, 240, 59, 250]}, {\"cell\": \"25.0\", \"bbox\": [222, 240, 237, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 240, 354, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Missing\", \"bbox\": [8, 254, 34, 264]}, {\"cell\": \"0.0\", \"bbox\": [222, 254, 233, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 254, 350, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Perceived stress scale (score)\", \"bbox\": [1, 268, 94, 278]}, {\"cell\": \"5.1 ± 2.5\", \"bbox\": [222, 268, 252, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 268, 369, 278]}, {\"cell\": \"<0.001*\", \"bbox\": [456, 267, 482, 278]}, {\"cell\": \"0-3\", \"bbox\": [8, 282, 20, 292]}, {\"cell\": \"25.0\", \"bbox\": [222, 282, 237, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 282, 354, 292]}, {\"cell\": \"<0.001**\", \"bbox\": [456, 281, 484, 292]}, {\"cell\": \"4-6\", \"bbox\": [8, 296, 20, 306]}, {\"cell\": \"44.1\", \"bbox\": [222, 296, 237, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 296, 354, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"7-12\", \"bbox\": [8, 310, 24, 320]}, {\"cell\": \"30.9\", \"bbox\": [222, 310, 237, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 310, 354, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Missing\", \"bbox\": [8, 324, 34, 334]}, {\"cell\": \"0.0\", \"bbox\": [222, 324, 233, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 324, 350, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3514205_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariablesSubcategoryPDAC crExos cohort n (%)PDAC crExos Low GPC1n (%)PDAC crExos High GPC1 n (%)P valuea
All casesb[EMPTY_CELL]27[EMPTY_CELL]14−
Age, y≤606 (22.2)[EMPTY_CELL]3 (50)0.918
[EMPTY_CELL]>6021 (77.8)[EMPTY_CELL]11 (52.4)
SexFemale11 (40.7)[EMPTY_CELL]5 (45.5)0.581
[EMPTY_CELL]Male16 (59.3)[EMPTY_CELL]9 (56.2)
DifferentiationgradeLow (G1/2)High (G3)12 (44.4)15 (55.6)[EMPTY_CELL]6 (50)8 (53.3)0.863
Lymph-nodeStatus (N)Absent (N0)Present (N1)9 (33.3)18 (66.7)[EMPTY_CELL]4 (44.4)10 (55.6)0.586
Tumor Size, cm<414 (51.9)[EMPTY_CELL]4 (28.6)0.012
[EMPTY_CELL]>413 (48.1)[EMPTY_CELL]10 (76.9)
PerineuralInvasion (PNI)No8 (29.6)[EMPTY_CELL]4 (50)0.901
[EMPTY_CELL]Yes19 (70.4)[EMPTY_CELL]10 (52.6)
Resection marginStatus (R)Negative (R0)17 (63)[EMPTY_CELL]8 (47.1)0.516
[EMPTY_CELL]Positive (R1)10 (37)[EMPTY_CELL]6 (60)
\", \"cells\": [{\"cell\": \"Variables\", \"bbox\": [5, 17, 47, 27]}, {\"cell\": \"Subcategory\", \"bbox\": [110, 17, 166, 27]}, {\"cell\": \"PDAC crExos cohort n (%)\", \"bbox\": [181, 11, 273, 33]}, {\"cell\": \"PDAC crExos Low GPC1n (%)\", \"bbox\": [284, 5, 346, 39]}, {\"cell\": \"PDAC crExos High GPC1 n (%)\", \"bbox\": [357, 11, 436, 33]}, {\"cell\": \"P valuea\", \"bbox\": [451, 16, 487, 27]}, {\"cell\": \"All casesb\", \"bbox\": [5, 43, 47, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"27\", \"bbox\": [221, 43, 233, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [309, 43, 321, 54]}, {\"cell\": \"14\", \"bbox\": [391, 43, 403, 54]}, {\"cell\": \"−\", \"bbox\": [465, 40, 473, 55]}, {\"cell\": \"Age, y\", \"bbox\": [5, 58, 33, 69]}, {\"cell\": \"≤60\", \"bbox\": [129, 55, 147, 70]}, {\"cell\": \"6 (22.2)\", \"bbox\": [210, 58, 243, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [302, 58, 328, 69]}, {\"cell\": \"3 (50)\", \"bbox\": [384, 58, 410, 69]}, {\"cell\": \"0.918\", \"bbox\": [457, 66, 481, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \">60\", \"bbox\": [129, 73, 147, 84]}, {\"cell\": \"21 (77.8)\", \"bbox\": [207, 73, 246, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [296, 73, 335, 84]}, {\"cell\": \"11 (52.4)\", \"bbox\": [378, 73, 416, 84]}, {\"cell\": \"Sex\", \"bbox\": [5, 88, 22, 99]}, {\"cell\": \"Female\", \"bbox\": [122, 88, 154, 99]}, {\"cell\": \"11 (40.7)\", \"bbox\": [207, 88, 246, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [298, 88, 332, 99]}, {\"cell\": \"5 (45.5)\", \"bbox\": [380, 88, 414, 99]}, {\"cell\": \"0.581\", \"bbox\": [457, 96, 481, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Male\", \"bbox\": [127, 103, 149, 114]}, {\"cell\": \"16 (59.3)\", \"bbox\": [207, 103, 246, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [298, 103, 332, 114]}, {\"cell\": \"9 (56.2)\", \"bbox\": [380, 103, 414, 114]}, {\"cell\": \"Differentiationgrade\", \"bbox\": [5, 118, 70, 141]}, {\"cell\": \"Low (G1/2)High (G3)\", \"bbox\": [113, 118, 163, 141]}, {\"cell\": \"12 (44.4)15 (55.6)\", \"bbox\": [207, 118, 246, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [298, 118, 332, 141]}, {\"cell\": \"6 (50)8 (53.3)\", \"bbox\": [380, 118, 414, 141]}, {\"cell\": \"0.863\", \"bbox\": [457, 124, 481, 135]}, {\"cell\": \"Lymph-nodeStatus (N)\", \"bbox\": [5, 145, 61, 168]}, {\"cell\": \"Absent (N0)Present (N1)\", \"bbox\": [112, 145, 164, 168]}, {\"cell\": \"9 (33.3)18 (66.7)\", \"bbox\": [207, 145, 246, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [298, 145, 332, 168]}, {\"cell\": \"4 (44.4)10 (55.6)\", \"bbox\": [377, 145, 416, 168]}, {\"cell\": \"0.586\", \"bbox\": [457, 151, 481, 162]}, {\"cell\": \"Tumor Size, cm\", \"bbox\": [5, 172, 72, 183]}, {\"cell\": \"<4\", \"bbox\": [132, 172, 144, 183]}, {\"cell\": \"14 (51.9)\", \"bbox\": [207, 172, 246, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [296, 172, 335, 183]}, {\"cell\": \"4 (28.6)\", \"bbox\": [380, 172, 414, 183]}, {\"cell\": \"0.012\", \"bbox\": [457, 186, 481, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \">4\", \"bbox\": [132, 201, 144, 212]}, {\"cell\": \"13 (48.1)\", \"bbox\": [207, 201, 246, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [298, 201, 332, 212]}, {\"cell\": \"10 (76.9)\", \"bbox\": [377, 201, 416, 212]}, {\"cell\": \"PerineuralInvasion (PNI)\", \"bbox\": [5, 216, 70, 239]}, {\"cell\": \"No\", \"bbox\": [131, 222, 145, 233]}, {\"cell\": \"8 (29.6)\", \"bbox\": [210, 222, 243, 233]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [302, 222, 328, 233]}, {\"cell\": \"4 (50)\", \"bbox\": [384, 222, 410, 233]}, {\"cell\": \"0.901\", \"bbox\": [457, 229, 481, 240]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Yes\", \"bbox\": [130, 243, 146, 254]}, {\"cell\": \"19 (70.4)\", \"bbox\": [207, 243, 246, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [298, 243, 332, 254]}, {\"cell\": \"10 (52.6)\", \"bbox\": [377, 243, 416, 254]}, {\"cell\": \"Resection marginStatus (R)\", \"bbox\": [5, 258, 81, 281]}, {\"cell\": \"Negative (R0)\", \"bbox\": [109, 258, 168, 269]}, {\"cell\": \"17 (63)\", \"bbox\": [211, 258, 242, 269]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [298, 258, 332, 269]}, {\"cell\": \"8 (47.1)\", \"bbox\": [380, 258, 414, 269]}, {\"cell\": \"0.516\", \"bbox\": [457, 271, 481, 282]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Positive (R1)\", \"bbox\": [110, 284, 166, 296]}, {\"cell\": \"10 (37)\", \"bbox\": [211, 284, 242, 296]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [302, 284, 328, 296]}, {\"cell\": \"6 (60)\", \"bbox\": [384, 284, 410, 296]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5922373_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Practice assessing questions responsesNumberPercent %
Child drank juice or juice drinks yesterday during day or night[EMPTY_CELL][EMPTY_CELL]
No[EMPTY_CELL]98
Yes[EMPTY_CELL]2
Child ate injera, bread, rice made from teff, oat, maize, barley, wheat[EMPTY_CELL][EMPTY_CELL]
No[EMPTY_CELL]5.3
Yes[EMPTY_CELL]94.7
Child ate tinned, powdered, fresh animal milk or yoghurt yesterday[EMPTY_CELL][EMPTY_CELL]
No[EMPTY_CELL]56.1
Yes[EMPTY_CELL]43.9
Child ate pumpkin, carrot, squash, or sweet potato that are yellow[EMPTY_CELL][EMPTY_CELL]
No[EMPTY_CELL]96.7
Yes[EMPTY_CELL]3.3
Child ate ripe mango or papaya yesterday during day or night[EMPTY_CELL][EMPTY_CELL]
No[EMPTY_CELL]98
Yes[EMPTY_CELL]2
Child ate any dark green leafy vegetables like kale, spinach[EMPTY_CELL][EMPTY_CELL]
No[EMPTY_CELL]77.3
Yes[EMPTY_CELL]22.7
Child ate any other fruit or vegetables yesterday during day or night[EMPTY_CELL][EMPTY_CELL]
No[EMPTY_CELL]79.7
Yes[EMPTY_CELL]20.3
Child ate meat of ox, pig, hen, sheep, or calf yesterday during day or night[EMPTY_CELL][EMPTY_CELL]
No[EMPTY_CELL]90.3
Yes[EMPTY_CELL]9.7
Child ate rgg yesterday during day or night[EMPTY_CELL][EMPTY_CELL]
No[EMPTY_CELL]51.1
Yes[EMPTY_CELL]48.9
Child ate any foods made from beans, peas, lentils, or nuts yesterday[EMPTY_CELL][EMPTY_CELL]
No[EMPTY_CELL]18
Yes[EMPTY_CELL]82
Dietary diversity practice status of mother[EMPTY_CELL][EMPTY_CELL]
Not good[EMPTY_CELL]84
Good[EMPTY_CELL]16
\", \"cells\": [{\"cell\": \"Practice assessing questions responses\", \"bbox\": [2, 5, 141, 16]}, {\"cell\": \"Number\", \"bbox\": [165, 4, 197, 15]}, {\"cell\": \"Percent %\", \"bbox\": [203, 4, 241, 15]}, {\"cell\": \"Child drank juice or juice drinks yesterday during day or night\", \"bbox\": [2, 19, 157, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" No\", \"bbox\": [11, 43, 24, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 42, 189, 53]}, {\"cell\": \"98\", \"bbox\": [216, 42, 227, 53]}, {\"cell\": \" Yes\", \"bbox\": [11, 57, 25, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [177, 56, 186, 67]}, {\"cell\": \"2\", \"bbox\": [219, 56, 225, 67]}, {\"cell\": \"Child ate injera, bread, rice made from teff, oat, maize, barley, wheat\", \"bbox\": [2, 70, 158, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" No\", \"bbox\": [11, 94, 24, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [176, 93, 186, 104]}, {\"cell\": \"5.3\", \"bbox\": [216, 93, 228, 104]}, {\"cell\": \" Yes\", \"bbox\": [11, 108, 25, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 107, 189, 118]}, {\"cell\": \"94.7\", \"bbox\": [213, 107, 230, 118]}, {\"cell\": \"Child ate tinned, powdered, fresh animal milk or yoghurt yesterday\", \"bbox\": [3, 121, 151, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" No\", \"bbox\": [11, 146, 24, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 145, 189, 155]}, {\"cell\": \"56.1\", \"bbox\": [214, 145, 230, 155]}, {\"cell\": \" Yes\", \"bbox\": [11, 160, 25, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 159, 189, 169]}, {\"cell\": \"43.9\", \"bbox\": [213, 159, 230, 169]}, {\"cell\": \"Child ate pumpkin, carrot, squash, or sweet potato that are yellow\", \"bbox\": [3, 173, 160, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" No\", \"bbox\": [11, 197, 24, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 196, 189, 207]}, {\"cell\": \"96.7\", \"bbox\": [213, 196, 230, 207]}, {\"cell\": \" Yes\", \"bbox\": [11, 211, 25, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [176, 210, 187, 221]}, {\"cell\": \"3.3\", \"bbox\": [216, 210, 228, 221]}, {\"cell\": \"Child ate ripe mango or papaya yesterday during day or night\", \"bbox\": [3, 224, 153, 245]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" No\", \"bbox\": [11, 249, 24, 259]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 248, 189, 258]}, {\"cell\": \"98\", \"bbox\": [216, 248, 227, 258]}, {\"cell\": \" Yes\", \"bbox\": [11, 263, 25, 273]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [177, 262, 186, 272]}, {\"cell\": \"2\", \"bbox\": [219, 262, 225, 272]}, {\"cell\": \"Child ate any dark green leafy vegetables like kale, spinach\", \"bbox\": [3, 276, 164, 297]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" No\", \"bbox\": [11, 300, 24, 311]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 299, 188, 310]}, {\"cell\": \"77.3\", \"bbox\": [214, 299, 229, 310]}, {\"cell\": \" Yes\", \"bbox\": [11, 314, 25, 325]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 313, 188, 324]}, {\"cell\": \"22.7\", \"bbox\": [214, 313, 230, 324]}, {\"cell\": \"Child ate any other fruit or vegetables yesterday during day or night\", \"bbox\": [3, 327, 139, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" No\", \"bbox\": [11, 352, 24, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 350, 189, 361]}, {\"cell\": \"79.7\", \"bbox\": [214, 350, 230, 361]}, {\"cell\": \" Yes\", \"bbox\": [11, 366, 25, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 364, 188, 375]}, {\"cell\": \"20.3\", \"bbox\": [213, 364, 230, 375]}, {\"cell\": \"Child ate meat of ox, pig, hen, sheep, or calf yesterday during day or night\", \"bbox\": [3, 378, 161, 400]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" No\", \"bbox\": [11, 403, 24, 414]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 402, 189, 413]}, {\"cell\": \"90.3\", \"bbox\": [213, 402, 230, 413]}, {\"cell\": \" Yes\", \"bbox\": [11, 417, 25, 428]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [176, 416, 187, 427]}, {\"cell\": \"9.7\", \"bbox\": [216, 416, 228, 427]}, {\"cell\": \"Child ate rgg yesterday during day or night\", \"bbox\": [3, 431, 158, 442]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" No\", \"bbox\": [11, 445, 24, 456]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 444, 189, 455]}, {\"cell\": \"51.1\", \"bbox\": [215, 444, 229, 455]}, {\"cell\": \" Yes\", \"bbox\": [11, 459, 25, 470]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 458, 189, 469]}, {\"cell\": \"48.9\", \"bbox\": [213, 458, 230, 469]}, {\"cell\": \"Child ate any foods made from beans, peas, lentils, or nuts yesterday\", \"bbox\": [3, 472, 160, 493]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" No\", \"bbox\": [11, 496, 25, 507]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 495, 188, 506]}, {\"cell\": \"18\", \"bbox\": [217, 495, 226, 506]}, {\"cell\": \" Yes\", \"bbox\": [11, 510, 25, 521]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 509, 189, 520]}, {\"cell\": \"82\", \"bbox\": [217, 509, 227, 520]}, {\"cell\": \"Dietary diversity practice status of mother\", \"bbox\": [3, 524, 155, 535]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Not good\", \"bbox\": [11, 538, 47, 549]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 537, 189, 548]}, {\"cell\": \"84\", \"bbox\": [216, 537, 227, 548]}, {\"cell\": \" Good\", \"bbox\": [11, 552, 34, 563]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 551, 188, 562]}, {\"cell\": \"16\", \"bbox\": [217, 551, 227, 562]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5405353_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
FactorParameter Estimate (95% CI)P
Mean arterial blood pressure
Smoker−0.17 (−7.13 to 6.79)[EMPTY_CELL]
Male sex2.17 (−4.60 to 8.95)[EMPTY_CELL]
Age0.11 (−.33 to .55)[EMPTY_CELL]
Body mass index0.43 (−.47 to 1.33)[EMPTY_CELL]
Antihypertensive−2.13 (−9.08 to 4.81)[EMPTY_CELL]
CD8+ effector T-cell count,a per 10-fold increase8.31 (2.20–14.42)[EMPTY_CELL]
Diastolic blood pressure
Smoker0.12 (−7.52 to 7.77)[EMPTY_CELL]
Male sex1.02 (−6.42 to 8.46)[EMPTY_CELL]
Age−0.17 (−.65 to .32)[EMPTY_CELL]
Body mass index0.61 (−.38 to 1.61)[EMPTY_CELL]
Antihypertensive−1.94 (−9.57 to 5.70)[EMPTY_CELL]
CD8+ effector T-cell count,a per 10-fold increase9.51 (2.80–16.22)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Factor\", \"bbox\": [1, 18, 24, 28]}, {\"cell\": \"Parameter Estimate (95% CI)\", \"bbox\": [133, 8, 198, 28]}, {\"cell\": \"P\", \"bbox\": [229, 18, 236, 26]}, {\"cell\": \"Mean arterial blood pressure\", \"bbox\": [1, 33, 102, 43]}, {\"cell\": \" Smoker\", \"bbox\": [8, 45, 38, 55]}, {\"cell\": \"−0.17 (−7.13 to 6.79)\", \"bbox\": [128, 45, 204, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 45, 242, 55]}, {\"cell\": \" Male sex\", \"bbox\": [8, 57, 42, 67]}, {\"cell\": \"2.17 (−4.60 to 8.95)\", \"bbox\": [133, 57, 204, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 57, 242, 67]}, {\"cell\": \" Age\", \"bbox\": [8, 69, 25, 79]}, {\"cell\": \"0.11 (−.33 to .55)\", \"bbox\": [133, 69, 195, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 69, 242, 79]}, {\"cell\": \" Body mass index\", \"bbox\": [8, 81, 70, 91]}, {\"cell\": \"0.43 (−.47 to 1.33)\", \"bbox\": [133, 81, 199, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 81, 242, 91]}, {\"cell\": \" Antihypertensive\", \"bbox\": [8, 93, 70, 103]}, {\"cell\": \"−2.13 (−9.08 to 4.81)\", \"bbox\": [128, 93, 204, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 93, 242, 103]}, {\"cell\": \" CD8+ effector T-cell count,a per 10-fold increase\", \"bbox\": [8, 104, 106, 124]}, {\"cell\": \"8.31 (2.20–14.42)\", \"bbox\": [133, 105, 196, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 105, 242, 115]}, {\"cell\": \"Diastolic blood pressure\", \"bbox\": [0, 126, 86, 136]}, {\"cell\": \" Smoker\", \"bbox\": [8, 138, 38, 148]}, {\"cell\": \"0.12 (−7.52 to 7.77)\", \"bbox\": [133, 138, 204, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 138, 242, 148]}, {\"cell\": \" Male sex\", \"bbox\": [8, 150, 42, 160]}, {\"cell\": \"1.02 (−6.42 to 8.46)\", \"bbox\": [133, 150, 204, 160]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 150, 242, 160]}, {\"cell\": \" Age\", \"bbox\": [8, 162, 25, 172]}, {\"cell\": \"−0.17 (−.65 to .32)\", \"bbox\": [128, 162, 195, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 162, 242, 172]}, {\"cell\": \" Body mass index\", \"bbox\": [8, 174, 70, 184]}, {\"cell\": \"0.61 (−.38 to 1.61)\", \"bbox\": [133, 174, 199, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 174, 242, 184]}, {\"cell\": \" Antihypertensive\", \"bbox\": [8, 186, 70, 196]}, {\"cell\": \"−1.94 (−9.57 to 5.70)\", \"bbox\": [128, 186, 204, 196]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 186, 242, 196]}, {\"cell\": \" CD8+ effector T-cell count,a per 10-fold increase\", \"bbox\": [8, 197, 106, 217]}, {\"cell\": \"9.51 (2.80–16.22)\", \"bbox\": [133, 198, 196, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 198, 242, 208]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3982844_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
ParameterGroupMean operator valuesMean differencep value
±SD(95 % CI)
[EMPTY_CELL]
[EMPTY_CELL]HS6.3 ± 1.2−0.7 (−1.3 to −0.11)0.020
[EMPTY_CELL]8.7 ± 2.9−0.4 (−1.2 to 0.4)0.390
[EMPTY_CELL]HS466 ± 33+7.9 (2.3 to 13.5)0.007
[EMPTY_CELL]470 ± 36+8.4 (0.1 to 16.8)0.050
[EMPTY_CELL]HS77 ± 12+8.2 (3.1 to 13.2)0.002
[EMPTY_CELL]60 ± 21+5.7 (0.4 to 11.0)0.040
[EMPTY_CELL]HS117 ± 12−2.3 (−5.3 to 0.7)0.130
[EMPTY_CELL]138 ± 22+1.3 (−3.3 to 5.9)0.580
[EMPTY_CELL]HS70 ± 9−1.3 (−2.9 to 0.3)0.100
[EMPTY_CELL]ESRD67 ± 10+0.9 (−1.2 to 2.9)0.620
[EMPTY_CELL]
[EMPTY_CELL]HS15 ± 14−0.5 (−2.7 to 1.7)0.630
[EMPTY_CELL]24 ± 11−1.5 (−6.2 to 3.1)0.520
[EMPTY_CELL]HS35 ± 5+0.3 (−1.3 to 1.9)0.680
[EMPTY_CELL]57 ± 20+0.3 (−3.0 to 3.5)0.870
\", \"cells\": [{\"cell\": \"Parameter\", \"bbox\": [1, 4, 35, 13]}, {\"cell\": \"Group\", \"bbox\": [64, 4, 86, 13]}, {\"cell\": \"Mean operator values\", \"bbox\": [90, 4, 142, 22]}, {\"cell\": \"Mean difference\", \"bbox\": [146, 4, 179, 22]}, {\"cell\": \"p value\", \"bbox\": [198, 4, 224, 13]}, {\"cell\": \"±SD\", \"bbox\": [90, 26, 106, 36]}, {\"cell\": \"(95 % CI)\", \"bbox\": [146, 26, 176, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 39, 69, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 53, 44, 63]}, {\"cell\": \"HS\", \"bbox\": [64, 53, 75, 63]}, {\"cell\": \"6.3 ± 1.2\", \"bbox\": [90, 53, 118, 63]}, {\"cell\": \"−0.7 (−1.3 to −0.11)\", \"bbox\": [146, 53, 194, 72]}, {\"cell\": \"0.020\", \"bbox\": [198, 53, 217, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 76, 83, 86]}, {\"cell\": \"8.7 ± 2.9\", \"bbox\": [90, 76, 118, 86]}, {\"cell\": \"−0.4 (−1.2 to 0.4)\", \"bbox\": [146, 76, 186, 95]}, {\"cell\": \"0.390\", \"bbox\": [198, 76, 217, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 99, 48, 118]}, {\"cell\": \"HS\", \"bbox\": [64, 99, 75, 109]}, {\"cell\": \"466 ± 33\", \"bbox\": [90, 99, 119, 109]}, {\"cell\": \"+7.9 (2.3 to 13.5)\", \"bbox\": [146, 99, 185, 118]}, {\"cell\": \"0.007\", \"bbox\": [198, 99, 217, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 122, 83, 132]}, {\"cell\": \"470 ± 36\", \"bbox\": [90, 122, 119, 132]}, {\"cell\": \"+8.4 (0.1 to 16.8)\", \"bbox\": [146, 122, 185, 141]}, {\"cell\": \"0.050\", \"bbox\": [198, 122, 217, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 145, 45, 164]}, {\"cell\": \"HS\", \"bbox\": [64, 145, 75, 155]}, {\"cell\": \"77 ± 12\", \"bbox\": [90, 145, 115, 155]}, {\"cell\": \"+8.2 (3.1 to 13.2)\", \"bbox\": [146, 145, 185, 164]}, {\"cell\": \"0.002\", \"bbox\": [198, 145, 217, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 168, 83, 178]}, {\"cell\": \"60 ± 21\", \"bbox\": [90, 168, 115, 178]}, {\"cell\": \"+5.7 (0.4 to 11.0)\", \"bbox\": [146, 168, 185, 187]}, {\"cell\": \"0.040\", \"bbox\": [198, 168, 217, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 191, 43, 201]}, {\"cell\": \"HS\", \"bbox\": [64, 191, 75, 201]}, {\"cell\": \"117 ± 12\", \"bbox\": [90, 191, 119, 201]}, {\"cell\": \"−2.3 (−5.3 to 0.7)\", \"bbox\": [146, 191, 186, 210]}, {\"cell\": \"0.130\", \"bbox\": [198, 191, 217, 201]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 214, 83, 224]}, {\"cell\": \"138 ± 22\", \"bbox\": [90, 214, 119, 224]}, {\"cell\": \"+1.3 (−3.3 to 5.9)\", \"bbox\": [146, 214, 186, 233]}, {\"cell\": \"0.580\", \"bbox\": [198, 214, 217, 224]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 237, 47, 247]}, {\"cell\": \"HS\", \"bbox\": [64, 237, 75, 247]}, {\"cell\": \"70 ± 9\", \"bbox\": [90, 237, 112, 247]}, {\"cell\": \"−1.3 (−2.9 to 0.3)\", \"bbox\": [146, 237, 186, 256]}, {\"cell\": \"0.100\", \"bbox\": [198, 237, 217, 247]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"ESRD\", \"bbox\": [64, 260, 83, 270]}, {\"cell\": \"67 ± 10\", \"bbox\": [90, 260, 115, 270]}, {\"cell\": \"+0.9 (−1.2 to 2.9)\", \"bbox\": [146, 260, 186, 279]}, {\"cell\": \"0.620\", \"bbox\": [198, 260, 217, 270]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 283, 59, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 297, 47, 307]}, {\"cell\": \"HS\", \"bbox\": [64, 297, 75, 307]}, {\"cell\": \"15 ± 14\", \"bbox\": [90, 297, 115, 307]}, {\"cell\": \"−0.5 (−2.7 to 1.7)\", \"bbox\": [146, 297, 186, 316]}, {\"cell\": \"0.630\", \"bbox\": [198, 297, 217, 307]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 320, 83, 330]}, {\"cell\": \"24 ± 11\", \"bbox\": [90, 320, 115, 330]}, {\"cell\": \"−1.5 (−6.2 to 3.1)\", \"bbox\": [146, 320, 186, 339]}, {\"cell\": \"0.520\", \"bbox\": [198, 320, 217, 330]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 343, 60, 362]}, {\"cell\": \"HS\", \"bbox\": [64, 343, 75, 353]}, {\"cell\": \"35 ± 5\", \"bbox\": [90, 343, 112, 353]}, {\"cell\": \"+0.3 (−1.3 to 1.9)\", \"bbox\": [146, 343, 186, 362]}, {\"cell\": \"0.680\", \"bbox\": [198, 343, 217, 353]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 366, 83, 376]}, {\"cell\": \"57 ± 20\", \"bbox\": [90, 366, 115, 376]}, {\"cell\": \"+0.3 (−3.0 to 3.5)\", \"bbox\": [146, 366, 186, 385]}, {\"cell\": \"0.870\", \"bbox\": [198, 366, 217, 376]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4818522_005_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]IPH (n = 56)P valueSDH (n = 22)P valueSAH (n = 15)P value
Gender:[EMPTY_CELL]0.137[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.552
Male40[EMPTY_CELL]12[EMPTY_CELL]9[EMPTY_CELL]
Female16[EMPTY_CELL]10[EMPTY_CELL]6[EMPTY_CELL]
Age:[EMPTY_CELL]0.009[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]>0.999
≥60 years20[EMPTY_CELL]16[EMPTY_CELL]7[EMPTY_CELL]
<60 years36[EMPTY_CELL]6[EMPTY_CELL]8[EMPTY_CELL]
Underlying hypertension:[EMPTY_CELL]0.335[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.324
Yes13[EMPTY_CELL]7[EMPTY_CELL]2[EMPTY_CELL]
No43[EMPTY_CELL]15[EMPTY_CELL]13[EMPTY_CELL]
Sepsis:[EMPTY_CELL]0.168[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.384
Yes29[EMPTY_CELL]8[EMPTY_CELL]9[EMPTY_CELL]
No27[EMPTY_CELL]14[EMPTY_CELL]6[EMPTY_CELL]
Remission status:[EMPTY_CELL]>0.999[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.669
Yes6[EMPTY_CELL]1[EMPTY_CELL]2[EMPTY_CELL]
No50[EMPTY_CELL]21[EMPTY_CELL]13[EMPTY_CELL]
CNS involvement:[EMPTY_CELL]0.609[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]>0.999
Yes4[EMPTY_CELL]3[EMPTY_CELL]1[EMPTY_CELL]
No52[EMPTY_CELL]19[EMPTY_CELL]14[EMPTY_CELL]
Leukocyte count:[EMPTY_CELL]0.056[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.060
≥100,000 cells/μl12[EMPTY_CELL]1[EMPTY_CELL]0[EMPTY_CELL]
<100,000 cells/μl44[EMPTY_CELL]21[EMPTY_CELL]15[EMPTY_CELL]
Platelet count:[EMPTY_CELL]>0.999[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.376
≥20,000 cells/μl36[EMPTY_CELL]9[EMPTY_CELL]7[EMPTY_CELL]
<20,000 cells/μl20[EMPTY_CELL]13[EMPTY_CELL]8[EMPTY_CELL]
Prothrombin time:[EMPTY_CELL]0.495[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.069
INR ≥1.543[EMPTY_CELL]2[EMPTY_CELL]6[EMPTY_CELL]
INR <1.513[EMPTY_CELL]20[EMPTY_CELL]9[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"IPH (n = 56)\", \"bbox\": [110, 4, 154, 13]}, {\"cell\": \"P value\", \"bbox\": [180, 4, 207, 13]}, {\"cell\": \"SDH (n = 22)\", \"bbox\": [234, 4, 281, 13]}, {\"cell\": \"P value\", \"bbox\": [307, 4, 335, 13]}, {\"cell\": \"SAH (n = 15)\", \"bbox\": [361, 4, 408, 13]}, {\"cell\": \"P value\", \"bbox\": [435, 4, 462, 13]}, {\"cell\": \"Gender:\", \"bbox\": [1, 17, 27, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.137\", \"bbox\": [180, 17, 199, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [307, 17, 326, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.552\", \"bbox\": [435, 17, 453, 27]}, {\"cell\": \"Male\", \"bbox\": [1, 29, 18, 39]}, {\"cell\": \"40\", \"bbox\": [110, 29, 119, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"12\", \"bbox\": [234, 29, 244, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"9\", \"bbox\": [361, 29, 367, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Female\", \"bbox\": [1, 41, 26, 51]}, {\"cell\": \"16\", \"bbox\": [110, 41, 119, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"10\", \"bbox\": [234, 41, 244, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"6\", \"bbox\": [361, 41, 367, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Age:\", \"bbox\": [1, 53, 17, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.009\", \"bbox\": [180, 53, 199, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [307, 53, 326, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \">0.999\", \"bbox\": [435, 53, 458, 63]}, {\"cell\": \"≥60 years\", \"bbox\": [1, 65, 34, 75]}, {\"cell\": \"20\", \"bbox\": [110, 65, 119, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"16\", \"bbox\": [234, 65, 244, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"7\", \"bbox\": [361, 65, 367, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<60 years\", \"bbox\": [1, 77, 34, 86]}, {\"cell\": \"36\", \"bbox\": [110, 77, 119, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"6\", \"bbox\": [234, 77, 240, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"8\", \"bbox\": [361, 77, 367, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Underlying hypertension:\", \"bbox\": [1, 89, 83, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.335\", \"bbox\": [180, 89, 199, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [307, 89, 326, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.324\", \"bbox\": [435, 89, 453, 98]}, {\"cell\": \"Yes\", \"bbox\": [1, 101, 13, 110]}, {\"cell\": \"13\", \"bbox\": [110, 101, 119, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"7\", \"bbox\": [234, 101, 240, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2\", \"bbox\": [361, 101, 367, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No\", \"bbox\": [1, 113, 12, 122]}, {\"cell\": \"43\", \"bbox\": [110, 113, 119, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"15\", \"bbox\": [234, 113, 244, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"13\", \"bbox\": [361, 113, 371, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Sepsis:\", \"bbox\": [1, 125, 23, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.168\", \"bbox\": [180, 125, 199, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [307, 125, 326, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.384\", \"bbox\": [435, 125, 453, 134]}, {\"cell\": \"Yes\", \"bbox\": [1, 137, 13, 146]}, {\"cell\": \"29\", \"bbox\": [110, 137, 119, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"8\", \"bbox\": [234, 137, 240, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"9\", \"bbox\": [361, 137, 367, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No\", \"bbox\": [1, 149, 12, 158]}, {\"cell\": \"27\", \"bbox\": [110, 149, 119, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"14\", \"bbox\": [234, 149, 244, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"6\", \"bbox\": [361, 149, 367, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Remission status:\", \"bbox\": [1, 161, 57, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \">0.999\", \"bbox\": [180, 161, 203, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [307, 161, 326, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.669\", \"bbox\": [435, 161, 453, 170]}, {\"cell\": \"Yes\", \"bbox\": [1, 173, 13, 182]}, {\"cell\": \"6\", \"bbox\": [110, 173, 115, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [234, 173, 240, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2\", \"bbox\": [361, 173, 367, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No\", \"bbox\": [1, 185, 12, 194]}, {\"cell\": \"50\", \"bbox\": [110, 185, 119, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"21\", \"bbox\": [234, 185, 244, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"13\", \"bbox\": [361, 185, 371, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CNS involvement:\", \"bbox\": [1, 197, 59, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.609\", \"bbox\": [180, 197, 199, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [307, 197, 326, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \">0.999\", \"bbox\": [435, 197, 458, 206]}, {\"cell\": \"Yes\", \"bbox\": [1, 209, 13, 218]}, {\"cell\": \"4\", \"bbox\": [110, 209, 115, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3\", \"bbox\": [234, 209, 240, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [361, 209, 367, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No\", \"bbox\": [1, 220, 12, 230]}, {\"cell\": \"52\", \"bbox\": [110, 220, 119, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"19\", \"bbox\": [234, 220, 244, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"14\", \"bbox\": [361, 220, 371, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Leukocyte count:\", \"bbox\": [1, 232, 57, 242]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.056\", \"bbox\": [180, 232, 199, 242]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [307, 232, 326, 242]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.060\", \"bbox\": [435, 232, 453, 242]}, {\"cell\": \"≥100,000 cells/μl\", \"bbox\": [1, 244, 56, 254]}, {\"cell\": \"12\", \"bbox\": [110, 244, 119, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [234, 244, 240, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0\", \"bbox\": [361, 244, 367, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<100,000 cells/μl\", \"bbox\": [1, 256, 56, 266]}, {\"cell\": \"44\", \"bbox\": [110, 256, 119, 266]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"21\", \"bbox\": [234, 256, 244, 266]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"15\", \"bbox\": [361, 256, 371, 266]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Platelet count:\", \"bbox\": [1, 268, 48, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \">0.999\", \"bbox\": [180, 268, 203, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [307, 268, 326, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.376\", \"bbox\": [435, 268, 453, 278]}, {\"cell\": \"≥20,000 cells/μl\", \"bbox\": [1, 280, 52, 290]}, {\"cell\": \"36\", \"bbox\": [110, 280, 119, 290]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"9\", \"bbox\": [234, 280, 240, 290]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"7\", \"bbox\": [361, 280, 367, 290]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<20,000 cells/μl\", \"bbox\": [1, 292, 52, 302]}, {\"cell\": \"20\", \"bbox\": [110, 292, 119, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"13\", \"bbox\": [234, 292, 244, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"8\", \"bbox\": [361, 292, 367, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Prothrombin time:\", \"bbox\": [1, 304, 61, 314]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.495\", \"bbox\": [180, 304, 199, 314]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [307, 304, 326, 314]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.069\", \"bbox\": [434, 304, 453, 314]}, {\"cell\": \"INR ≥1.5\", \"bbox\": [1, 316, 29, 326]}, {\"cell\": \"43\", \"bbox\": [110, 316, 119, 326]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2\", \"bbox\": [234, 316, 240, 326]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"6\", \"bbox\": [361, 316, 367, 326]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"INR <1.5\", \"bbox\": [1, 328, 30, 338]}, {\"cell\": \"13\", \"bbox\": [110, 328, 119, 338]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"20\", \"bbox\": [234, 328, 244, 338]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"9\", \"bbox\": [361, 328, 367, 338]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3482556_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Frequently, %Sometimes, %Never, %
How often do you hear people make negative comments about other specialties?[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Medical students44.7[EMPTY_CELL]3.2
Consultants during placements32.8[EMPTY_CELL]10.2
Registrars during placements26.8[EMPTY_CELL]10.2
Junior doctors during placements20.1[EMPTY_CELL]9.9
Academic staff[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Medical (e.g. professors, clinical lecturers)19.6[EMPTY_CELL]7.6
Non-medical (e.g. non-clinical lecturers)10.5[EMPTY_CELL]14.1
How often do you personally make negative comments about the following specialties?[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Surgery (e.g. ENT, orthopaedics)9.6[EMPTY_CELL]34.1
General practice9.1[EMPTY_CELL]31.6
Psychiatry7.3[EMPTY_CELL]35.7
Radiology3.8[EMPTY_CELL]45.5
Obstetrics and gynaecology3.2[EMPTY_CELL]50.1
Anaesthetics2.8[EMPTY_CELL]52.7
Hospital medicine (e.g. cardiology, respiratory medicine)1.5[EMPTY_CELL]55.3
Emergency medicine1.1[EMPTY_CELL]63.4
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Frequently, %\", \"bbox\": [333, 10, 379, 19]}, {\"cell\": \"Sometimes, %\", \"bbox\": [386, 10, 434, 19]}, {\"cell\": \"Never, %\", \"bbox\": [449, 10, 480, 19]}, {\"cell\": \"How often do you hear people make negative comments about other specialties?\", \"bbox\": [7, 24, 277, 33]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Medical students\", \"bbox\": [7, 33, 68, 42]}, {\"cell\": \"44.7\", \"bbox\": [348, 33, 364, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 33, 418, 43]}, {\"cell\": \"3.2\", \"bbox\": [460, 33, 472, 43]}, {\"cell\": \"Consultants during placements\", \"bbox\": [7, 42, 115, 51]}, {\"cell\": \"32.8\", \"bbox\": [348, 42, 364, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 42, 418, 51]}, {\"cell\": \"10.2\", \"bbox\": [456, 42, 473, 51]}, {\"cell\": \"Registrars during placements\", \"bbox\": [7, 51, 109, 60]}, {\"cell\": \"26.8\", \"bbox\": [348, 51, 364, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 51, 418, 60]}, {\"cell\": \"10.2\", \"bbox\": [456, 51, 473, 60]}, {\"cell\": \"Junior doctors during placements\", \"bbox\": [7, 60, 124, 69]}, {\"cell\": \"20.1\", \"bbox\": [348, 60, 364, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 60, 418, 69]}, {\"cell\": \"9.9\", \"bbox\": [460, 60, 472, 69]}, {\"cell\": \"Academic staff\", \"bbox\": [7, 69, 61, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Medical (e.g. professors, clinical lecturers)\", \"bbox\": [15, 78, 164, 87]}, {\"cell\": \"19.6\", \"bbox\": [348, 78, 364, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 78, 418, 87]}, {\"cell\": \"7.6\", \"bbox\": [460, 78, 472, 87]}, {\"cell\": \"Non-medical (e.g. non-clinical lecturers)\", \"bbox\": [15, 87, 155, 96]}, {\"cell\": \"10.5\", \"bbox\": [348, 87, 364, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 87, 418, 96]}, {\"cell\": \"14.1\", \"bbox\": [456, 87, 473, 96]}, {\"cell\": \"How often do you personally make negative comments about the following specialties?\", \"bbox\": [7, 100, 297, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Surgery (e.g. ENT, orthopaedics)\", \"bbox\": [7, 109, 121, 118]}, {\"cell\": \"9.6\", \"bbox\": [352, 109, 364, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 109, 418, 119]}, {\"cell\": \"34.1\", \"bbox\": [456, 109, 473, 119]}, {\"cell\": \"General practice\", \"bbox\": [7, 118, 65, 127]}, {\"cell\": \"9.1\", \"bbox\": [352, 118, 364, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 118, 418, 128]}, {\"cell\": \"31.6\", \"bbox\": [456, 118, 473, 128]}, {\"cell\": \"Psychiatry\", \"bbox\": [7, 127, 44, 136]}, {\"cell\": \"7.3\", \"bbox\": [352, 127, 364, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 127, 418, 136]}, {\"cell\": \"35.7\", \"bbox\": [456, 127, 473, 136]}, {\"cell\": \"Radiology\", \"bbox\": [7, 136, 42, 145]}, {\"cell\": \"3.8\", \"bbox\": [352, 136, 364, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 136, 418, 145]}, {\"cell\": \"45.5\", \"bbox\": [456, 136, 473, 145]}, {\"cell\": \"Obstetrics and gynaecology\", \"bbox\": [7, 145, 105, 154]}, {\"cell\": \"3.2\", \"bbox\": [352, 145, 364, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 145, 418, 154]}, {\"cell\": \"50.1\", \"bbox\": [456, 145, 473, 154]}, {\"cell\": \"Anaesthetics\", \"bbox\": [7, 154, 53, 163]}, {\"cell\": \"2.8\", \"bbox\": [352, 154, 364, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 154, 418, 163]}, {\"cell\": \"52.7\", \"bbox\": [456, 154, 473, 163]}, {\"cell\": \"Hospital medicine (e.g. cardiology, respiratory medicine)\", \"bbox\": [7, 163, 204, 172]}, {\"cell\": \"1.5\", \"bbox\": [352, 163, 364, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 163, 418, 172]}, {\"cell\": \"55.3\", \"bbox\": [456, 163, 473, 172]}, {\"cell\": \"Emergency medicine\", \"bbox\": [7, 172, 80, 181]}, {\"cell\": \"1.1\", \"bbox\": [352, 172, 364, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 172, 418, 181]}, {\"cell\": \"63.4\", \"bbox\": [456, 172, 473, 181]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4817656_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]n (%)a
[EMPTY_CELL]
[EMPTY_CELL]5(29)
[EMPTY_CELL]6(35)
[EMPTY_CELL]5(29)
[EMPTY_CELL]1(6)
[EMPTY_CELL]
[EMPTY_CELL]15(94)
[EMPTY_CELL]1(6)
[EMPTY_CELL]1
[EMPTY_CELL]
[EMPTY_CELL]15(94)
[EMPTY_CELL]1(6)
[EMPTY_CELL]1
[EMPTY_CELL]
[EMPTY_CELL]10(59)
[EMPTY_CELL]7(41)
[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]9(56)
[EMPTY_CELL]7(44)1
[EMPTY_CELL]
[EMPTY_CELL]3(19)
[EMPTY_CELL]13(81)
[EMPTY_CELL]1
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"n (%)a\", \"bbox\": [204, 2, 225, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 106, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 31, 116, 41]}, {\"cell\": \"5(29)\", \"bbox\": [204, 31, 221, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 45, 169, 55]}, {\"cell\": \"6(35)\", \"bbox\": [204, 45, 221, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 59, 183, 69]}, {\"cell\": \"5(29)\", \"bbox\": [204, 59, 221, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 73, 69, 83]}, {\"cell\": \"1(6)\", \"bbox\": [204, 73, 217, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 87, 226, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 110, 21, 120]}, {\"cell\": \"15(94)\", \"bbox\": [204, 110, 225, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 124, 20, 134]}, {\"cell\": \"1(6)\", \"bbox\": [204, 124, 217, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 138, 34, 148]}, {\"cell\": \"1\", \"bbox\": [204, 138, 209, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 152, 176, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 166, 21, 176]}, {\"cell\": \"15(94)\", \"bbox\": [204, 166, 225, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 180, 68, 190]}, {\"cell\": \"1(6)\", \"bbox\": [204, 180, 217, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 194, 34, 204]}, {\"cell\": \"1\", \"bbox\": [204, 194, 209, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 208, 223, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 231, 21, 241]}, {\"cell\": \"10(59)\", \"bbox\": [204, 231, 225, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 245, 20, 255]}, {\"cell\": \"7(41)\", \"bbox\": [204, 245, 221, 255]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 259, 231, 287]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 291, 21, 301]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 305, 20, 315]}, {\"cell\": \"9(56)\", \"bbox\": [204, 305, 221, 315]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 319, 34, 329]}, {\"cell\": \"7(44)1\", \"bbox\": [204, 319, 225, 329]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 333, 219, 352]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 356, 21, 366]}, {\"cell\": \"3(19)\", \"bbox\": [204, 356, 221, 366]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 370, 20, 380]}, {\"cell\": \"13(81)\", \"bbox\": [204, 370, 225, 380]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 384, 34, 394]}, {\"cell\": \"1\", \"bbox\": [204, 384, 209, 394]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5521144_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Anthropometric dataMigrant children (n = 404)Indigenous Mexican children 1,2 (n = 861)National survey 1 (n = 7707)
[EMPTY_CELL]31.4 ± 15.833.232.4 ± 27.4
[EMPTY_CELL]12.1 ± 3.212.6213.1 ± 5.9
[EMPTY_CELL]85.4 ± 11.686.6488.3 ± 23.3
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]−1.4 ± 1.2−1.39−0.75 ± 2.4
[EMPTY_CELL]0.3 ± 1.00.380.43 ± 1.8
[EMPTY_CELL]−0.6 ± 1.0−0.53−0.13 ± 1.9
\", \"cells\": [{\"cell\": \"Anthropometric data\", \"bbox\": [18, 12, 103, 39]}, {\"cell\": \"Migrant children (n = 404)\", \"bbox\": [125, 12, 215, 39]}, {\"cell\": \"Indigenous Mexican children 1,2 (n = 861)\", \"bbox\": [234, 12, 340, 39]}, {\"cell\": \"National survey 1 (n = 7707)\", \"bbox\": [361, 9, 451, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 49, 58, 62]}, {\"cell\": \"31.4 ± 15.8\", \"bbox\": [141, 49, 198, 62]}, {\"cell\": \"33.2\", \"bbox\": [276, 49, 299, 62]}, {\"cell\": \"32.4 ± 27.4\", \"bbox\": [378, 49, 435, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 64, 70, 77]}, {\"cell\": \"12.1 ± 3.2\", \"bbox\": [145, 64, 195, 77]}, {\"cell\": \"12.62\", \"bbox\": [273, 64, 302, 77]}, {\"cell\": \"13.1 ± 5.9\", \"bbox\": [381, 64, 432, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 79, 70, 92]}, {\"cell\": \"85.4 ± 11.6\", \"bbox\": [141, 79, 198, 92]}, {\"cell\": \"86.64\", \"bbox\": [273, 79, 302, 92]}, {\"cell\": \"88.3 ± 23.3\", \"bbox\": [378, 79, 435, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 94, 53, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 109, 80, 122]}, {\"cell\": \"−1.4 ± 1.2\", \"bbox\": [144, 106, 196, 123]}, {\"cell\": \"−1.39\", \"bbox\": [272, 106, 302, 123]}, {\"cell\": \"−0.75 ± 2.4\", \"bbox\": [377, 106, 435, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 124, 96, 137]}, {\"cell\": \"0.3 ± 1.0\", \"bbox\": [147, 124, 192, 137]}, {\"cell\": \"0.38\", \"bbox\": [276, 124, 299, 137]}, {\"cell\": \"0.43 ± 1.8\", \"bbox\": [381, 124, 432, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 139, 82, 152]}, {\"cell\": \"−0.6 ± 1.0\", \"bbox\": [144, 136, 196, 154]}, {\"cell\": \"−0.53\", \"bbox\": [272, 136, 302, 154]}, {\"cell\": \"−0.13 ± 1.9\", \"bbox\": [377, 136, 435, 154]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3315082_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
StudyPopulationPeriodNumber of WomenMBD ClassificationSensitivitySF vs. FFDM
Mandelson et al., 2000 [9]US Breast Cancer Screening Program1988–1993[EMPTY_CELL]BI-RADS 3rd ed.BI-RADS 1 + 280.3%SF
BI-RADS 358.8%
BI-RADS 430.4%
Kolb, Lichy, and Newhouse, 2002 [11]US DMIST Trial1995–2000[EMPTY_CELL]BI-RADS 3rd ed.BI-RADS198%SF
BI-RADS 282.9%
BI-RADS 364.4%
BI-RADS 447.8%
Carney et al., 2003 [10]US Breast Cancer Surveillance Consortium1996–1999[EMPTY_CELL]BI-RADS 3rd ed.BI-RADS188.2%SF
BI-RADS 282.1%
BI-RADS 368.9%
BI-RADS 462.2%
Boyd et al., 2007 [6]National Breast Screening study (Canada)1981–1990[EMPTY_CELL]SCC<10%75.2%SF
10–25%62.9%
Screening Mammography Program of British Colombia1993–1999254,082 women[EMPTY_CELL]65.2%
50–75%57.3%
Ontario Breast Screening Program1996–2003166,254 women[EMPTY_CELL]54.2%
Kerlikowske et al., 2007 [8]US Breast Cancer Surveillance Consortium1996–2003[EMPTY_CELL]BI-RADSBI-RADS189%SF
BI-RADS 284%
BI-RADS 377%
BI-RADS 464%
\", \"cells\": [{\"cell\": \"Study\", \"bbox\": [20, 8, 41, 17]}, {\"cell\": \"Population\", \"bbox\": [90, 8, 127, 17]}, {\"cell\": \"Period\", \"bbox\": [166, 8, 189, 17]}, {\"cell\": \"Number of Women\", \"bbox\": [205, 8, 267, 17]}, {\"cell\": \"MBD Classification\", \"bbox\": [278, 4, 322, 21]}, {\"cell\": \"Sensitivity\", \"bbox\": [349, 8, 385, 17]}, {\"cell\": \"SF vs. FFDM\", \"bbox\": [414, 4, 436, 21]}, {\"cell\": \"Mandelson et al., 2000 [9]\", \"bbox\": [9, 31, 52, 49]}, {\"cell\": \"US Breast Cancer Screening Program\", \"bbox\": [79, 31, 138, 48]}, {\"cell\": \"1988–1993\", \"bbox\": [161, 36, 194, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 23, 262, 57]}, {\"cell\": \"BI-RADS 3rd ed.\", \"bbox\": [279, 32, 321, 49]}, {\"cell\": \"BI-RADS 1 + 2\", \"bbox\": [330, 24, 376, 33]}, {\"cell\": \"80.3%\", \"bbox\": [384, 24, 403, 33]}, {\"cell\": \"SF\", \"bbox\": [420, 36, 429, 45]}, {\"cell\": \"BI-RADS 3\", \"bbox\": [336, 36, 370, 45]}, {\"cell\": \"58.8%\", \"bbox\": [384, 36, 403, 45]}, {\"cell\": \"BI-RADS 4\", \"bbox\": [336, 48, 370, 57]}, {\"cell\": \"30.4%\", \"bbox\": [384, 48, 403, 57]}, {\"cell\": \"Kolb, Lichy, and Newhouse, 2002 [11]\", \"bbox\": [6, 70, 56, 95]}, {\"cell\": \"US DMIST Trial\", \"bbox\": [83, 79, 133, 88]}, {\"cell\": \"1995–2000\", \"bbox\": [161, 79, 194, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [206, 66, 267, 100]}, {\"cell\": \"BI-RADS 3rd ed.\", \"bbox\": [279, 74, 321, 92]}, {\"cell\": \"BI-RADS1\", \"bbox\": [337, 60, 369, 69]}, {\"cell\": \"98%\", \"bbox\": [386, 60, 401, 69]}, {\"cell\": \"SF\", \"bbox\": [420, 79, 429, 87]}, {\"cell\": \"BI-RADS 2\", \"bbox\": [336, 72, 370, 81]}, {\"cell\": \"82.9%\", \"bbox\": [384, 72, 403, 81]}, {\"cell\": \"BI-RADS 3\", \"bbox\": [336, 84, 370, 93]}, {\"cell\": \"64.4%\", \"bbox\": [384, 84, 403, 93]}, {\"cell\": \"BI-RADS 4\", \"bbox\": [336, 96, 370, 105]}, {\"cell\": \"47.8%\", \"bbox\": [384, 96, 403, 105]}, {\"cell\": \"Carney et al., 2003 [10]\", \"bbox\": [10, 122, 52, 139]}, {\"cell\": \"US Breast Cancer Surveillance Consortium\", \"bbox\": [70, 122, 147, 140]}, {\"cell\": \"1996–1999\", \"bbox\": [161, 127, 194, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 117, 264, 143]}, {\"cell\": \"BI-RADS 3rd ed.\", \"bbox\": [279, 123, 321, 140]}, {\"cell\": \"BI-RADS1\", \"bbox\": [337, 108, 369, 117]}, {\"cell\": \"88.2%\", \"bbox\": [384, 108, 403, 117]}, {\"cell\": \"SF\", \"bbox\": [420, 127, 429, 135]}, {\"cell\": \"BI-RADS 2\", \"bbox\": [336, 120, 370, 129]}, {\"cell\": \"82.1%\", \"bbox\": [384, 120, 403, 129]}, {\"cell\": \"BI-RADS 3\", \"bbox\": [336, 132, 370, 141]}, {\"cell\": \"68.9%\", \"bbox\": [384, 132, 403, 141]}, {\"cell\": \"BI-RADS 4\", \"bbox\": [336, 144, 370, 153]}, {\"cell\": \"62.2%\", \"bbox\": [384, 144, 403, 153]}, {\"cell\": \"Boyd et al., 2007 [6]\", \"bbox\": [13, 180, 49, 197]}, {\"cell\": \"National Breast Screening study (Canada)\", \"bbox\": [68, 156, 148, 173]}, {\"cell\": \"1981–1990\", \"bbox\": [161, 161, 194, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [214, 161, 259, 169]}, {\"cell\": \"SCC\", \"bbox\": [292, 184, 308, 193]}, {\"cell\": \"<10%\", \"bbox\": [344, 156, 362, 165]}, {\"cell\": \"75.2%\", \"bbox\": [384, 156, 403, 165]}, {\"cell\": \"SF\", \"bbox\": [420, 184, 429, 193]}, {\"cell\": \"10–25%\", \"bbox\": [341, 168, 365, 177]}, {\"cell\": \"62.9%\", \"bbox\": [384, 168, 403, 177]}, {\"cell\": \"Screening Mammography Program of British Colombia\", \"bbox\": [64, 180, 153, 197]}, {\"cell\": \"1993–1999\", \"bbox\": [161, 185, 194, 194]}, {\"cell\": \"254,082 women\", \"bbox\": [212, 185, 260, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [341, 180, 365, 189]}, {\"cell\": \"65.2%\", \"bbox\": [384, 180, 403, 189]}, {\"cell\": \"50–75%\", \"bbox\": [341, 192, 365, 201]}, {\"cell\": \"57.3%\", \"bbox\": [384, 192, 403, 201]}, {\"cell\": \"Ontario Breast Screening Program\", \"bbox\": [79, 204, 138, 222]}, {\"cell\": \"1996–2003\", \"bbox\": [161, 208, 194, 217]}, {\"cell\": \"166,254 women\", \"bbox\": [212, 208, 260, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [343, 208, 363, 217]}, {\"cell\": \"54.2%\", \"bbox\": [384, 208, 403, 217]}, {\"cell\": \"Kerlikowske et al., 2007 [8]\", \"bbox\": [9, 233, 52, 250]}, {\"cell\": \"US Breast Cancer Surveillance Consortium\", \"bbox\": [70, 234, 147, 251]}, {\"cell\": \"1996–2003\", \"bbox\": [161, 238, 194, 247]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [209, 237, 263, 246]}, {\"cell\": \"BI-RADS\", \"bbox\": [285, 238, 315, 247]}, {\"cell\": \"BI-RADS1\", \"bbox\": [337, 225, 369, 234]}, {\"cell\": \"89%\", \"bbox\": [386, 225, 401, 234]}, {\"cell\": \"SF\", \"bbox\": [420, 238, 429, 247]}, {\"cell\": \"BI-RADS 2\", \"bbox\": [336, 233, 370, 242]}, {\"cell\": \"84%\", \"bbox\": [386, 233, 401, 242]}, {\"cell\": \"BI-RADS 3\", \"bbox\": [336, 241, 370, 250]}, {\"cell\": \"77%\", \"bbox\": [386, 241, 401, 250]}, {\"cell\": \"BI-RADS 4\", \"bbox\": [336, 250, 370, 259]}, {\"cell\": \"64%\", \"bbox\": [386, 250, 401, 259]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5489950_009_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Saffron group(n=23)Fluvoxamine group(n=23)P-value
Age, years, mean ± SD34.00 ± 7.14[EMPTY_CELL]0.19
Sex, female, n (%)15 (65.2%)[EMPTY_CELL]0.54
duration of the disease (years), mean ± SD10.26 ± 5.56[EMPTY_CELL]0.58
Education[EMPTY_CELL][EMPTY_CELL]0.33
Illiterate5 (21.7%)[EMPTY_CELL]Non significant
primary5 (21.7%)[EMPTY_CELL]
Middle5 (21.7%)[EMPTY_CELL]
High school4(17.4%)[EMPTY_CELL]
Higher4(17.4%)[EMPTY_CELL]
Smoking, n, %8(34.8%)[EMPTY_CELL]0.75
Marital status[EMPTY_CELL][EMPTY_CELL]0.17
Married9(39.1%)[EMPTY_CELL]Non significant
Single13(56.5%)[EMPTY_CELL]
Separated1(4.3%)[EMPTY_CELL]
Y-BOCS total score, mean ± SD16.57 ± 2.90[EMPTY_CELL]0.47
Y-BOCS obsession subscale, mean ± SD9.17 ± 2.85[EMPTY_CELL]0.92
Y-BOCS compulsion subscale, mean ± SD7.39 ± 2.10[EMPTY_CELL]0.30
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Saffron group(n=23)\", \"bbox\": [223, 6, 283, 30]}, {\"cell\": \"Fluvoxamine group(n=23)\", \"bbox\": [325, 6, 388, 30]}, {\"cell\": \"P-value\", \"bbox\": [429, 12, 466, 24]}, {\"cell\": \"Age, years, mean ± SD\", \"bbox\": [1, 36, 106, 47]}, {\"cell\": \"34.00 ± 7.14\", \"bbox\": [224, 36, 282, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [327, 36, 385, 47]}, {\"cell\": \"0.19\", \"bbox\": [437, 36, 458, 47]}, {\"cell\": \"Sex, female, n (%)\", \"bbox\": [1, 52, 85, 64]}, {\"cell\": \"15 (65.2%)\", \"bbox\": [228, 52, 278, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [331, 52, 381, 64]}, {\"cell\": \"0.54\", \"bbox\": [437, 52, 458, 64]}, {\"cell\": \"duration of the disease (years), mean ± SD\", \"bbox\": [1, 69, 193, 81]}, {\"cell\": \"10.26 ± 5.56\", \"bbox\": [224, 69, 282, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [330, 69, 382, 81]}, {\"cell\": \"0.58\", \"bbox\": [437, 69, 458, 81]}, {\"cell\": \"Education\", \"bbox\": [1, 86, 51, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.33\", \"bbox\": [437, 87, 458, 98]}, {\"cell\": \"Illiterate\", \"bbox\": [1, 103, 37, 115]}, {\"cell\": \"5 (21.7%)\", \"bbox\": [231, 103, 276, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [338, 103, 375, 115]}, {\"cell\": \"Non significant\", \"bbox\": [414, 149, 481, 161]}, {\"cell\": \"primary\", \"bbox\": [1, 120, 36, 132]}, {\"cell\": \"5 (21.7%)\", \"bbox\": [231, 120, 276, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 120, 377, 132]}, {\"cell\": \"Middle\", \"bbox\": [1, 138, 32, 149]}, {\"cell\": \"5 (21.7%)\", \"bbox\": [231, 138, 276, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 138, 377, 149]}, {\"cell\": \"High school\", \"bbox\": [1, 154, 55, 166]}, {\"cell\": \"4(17.4%)\", \"bbox\": [232, 154, 274, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [338, 154, 375, 166]}, {\"cell\": \"Higher\", \"bbox\": [1, 171, 32, 183]}, {\"cell\": \"4(17.4%)\", \"bbox\": [232, 171, 274, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 171, 377, 183]}, {\"cell\": \"Smoking, n, %\", \"bbox\": [1, 189, 67, 200]}, {\"cell\": \"8(34.8%)\", \"bbox\": [232, 189, 274, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 189, 377, 200]}, {\"cell\": \"0.75\", \"bbox\": [437, 189, 458, 200]}, {\"cell\": \"Marital status\", \"bbox\": [1, 205, 67, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.17\", \"bbox\": [437, 205, 458, 217]}, {\"cell\": \"Married\", \"bbox\": [1, 222, 36, 234]}, {\"cell\": \"9(39.1%)\", \"bbox\": [232, 222, 274, 234]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [332, 222, 380, 234]}, {\"cell\": \"Non significant\", \"bbox\": [414, 245, 481, 257]}, {\"cell\": \"Single\", \"bbox\": [1, 240, 30, 251]}, {\"cell\": \"13(56.5%)\", \"bbox\": [229, 240, 277, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 240, 377, 251]}, {\"cell\": \"Separated\", \"bbox\": [1, 256, 49, 268]}, {\"cell\": \"1(4.3%)\", \"bbox\": [235, 256, 272, 268]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 256, 373, 268]}, {\"cell\": \"Y-BOCS total score, mean ± SD\", \"bbox\": [1, 273, 145, 285]}, {\"cell\": \"16.57 ± 2.90\", \"bbox\": [224, 273, 282, 285]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [327, 273, 385, 285]}, {\"cell\": \"0.47\", \"bbox\": [437, 273, 458, 285]}, {\"cell\": \"Y-BOCS obsession subscale, mean ± SD\", \"bbox\": [1, 291, 186, 302]}, {\"cell\": \"9.17 ± 2.85\", \"bbox\": [227, 291, 279, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [330, 291, 382, 302]}, {\"cell\": \"0.92\", \"bbox\": [437, 291, 458, 302]}, {\"cell\": \"Y-BOCS compulsion subscale, mean ± SD\", \"bbox\": [1, 307, 192, 319]}, {\"cell\": \"7.39 ± 2.10\", \"bbox\": [227, 307, 279, 319]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [330, 307, 382, 319]}, {\"cell\": \"0.30\", \"bbox\": [437, 307, 458, 319]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5640576_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Marker (positive)Sox, Oct, Nanog, Bmi-1EMT markersaSpheresMiceCell lineRCC typeReference
CD44, CD49f, ALDH1, CD24↓+E↓, M↑+/−–, ROS+Caki-1[EMPTY_CELL]Mahalingaiah et al., 2015 [17]
CD24, CD44+M↑+–ACHN, Caki-1[EMPTY_CELL]Lichner et al., 2014 [22]
–+E↓, M↑+, TNFα–ACHN, 786-0[EMPTY_CELL]Zhang et al., 2014 [27]
DCLK1↑ ALDH1+M↑––Caki-2[EMPTY_CELL]Weygant et al., 2015 [29]
CD44, CD133, CXCR4NS, B-catheninM↑+, PIK3R1↓–786-0, A-704[EMPTY_CELL]Lin et al., 2015 [30]
ALDH1+––+Caki-2, ACHN[EMPTY_CELL]Wang et al., 2015 [63]
CXCR4, CD105↓, CD133(−)b+–++RCC-26, RCC-53[EMPTY_CELL]Gassenmaier et al., 2013 [14]
CD24, CD44, CD133(−), CD105(−)+B-c↑++SK-RC-42[EMPTY_CELL]Zhong et al., 2010 [72]
CD24, CD44Side population–++786-0[EMPTY_CELL]Lu et al., 2013 [21]
ALDH1–NS++ACHN[EMPTY_CELL]Ueda et al., 2013 [45]
\", \"cells\": [{\"cell\": \"Marker (positive)\", \"bbox\": [1, 4, 55, 13]}, {\"cell\": \"Sox, Oct, Nanog, Bmi-1\", \"bbox\": [110, 4, 164, 22]}, {\"cell\": \"EMT markersa\", \"bbox\": [171, 2, 215, 13]}, {\"cell\": \"Spheres\", \"bbox\": [222, 4, 249, 13]}, {\"cell\": \"Mice\", \"bbox\": [264, 4, 282, 13]}, {\"cell\": \"Cell line\", \"bbox\": [289, 4, 316, 13]}, {\"cell\": \"RCC type\", \"bbox\": [345, 4, 376, 13]}, {\"cell\": \"Reference\", \"bbox\": [395, 4, 428, 13]}, {\"cell\": \"CD44, CD49f, ALDH1, CD24↓\", \"bbox\": [1, 26, 94, 36]}, {\"cell\": \"+\", \"bbox\": [110, 26, 116, 36]}, {\"cell\": \"E↓, M↑+/−\", \"bbox\": [171, 26, 207, 36]}, {\"cell\": \"–, ROS\", \"bbox\": [222, 26, 244, 36]}, {\"cell\": \"+\", \"bbox\": [264, 26, 271, 36]}, {\"cell\": \"Caki-1\", \"bbox\": [289, 26, 310, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 26, 367, 36]}, {\"cell\": \"Mahalingaiah et al., 2015 [17]\", \"bbox\": [395, 26, 484, 36]}, {\"cell\": \"CD24, CD44\", \"bbox\": [1, 40, 41, 50]}, {\"cell\": \"+\", \"bbox\": [110, 40, 116, 50]}, {\"cell\": \"M↑\", \"bbox\": [171, 40, 184, 50]}, {\"cell\": \"+\", \"bbox\": [222, 40, 228, 50]}, {\"cell\": \"–\", \"bbox\": [264, 44, 270, 48]}, {\"cell\": \"ACHN, Caki-1\", \"bbox\": [289, 40, 333, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 40, 388, 50]}, {\"cell\": \"Lichner et al., 2014 [22]\", \"bbox\": [395, 40, 471, 50]}, {\"cell\": \"–\", \"bbox\": [1, 58, 7, 62]}, {\"cell\": \"+\", \"bbox\": [110, 54, 116, 64]}, {\"cell\": \"E↓, M↑\", \"bbox\": [171, 54, 195, 64]}, {\"cell\": \"+, TNFα\", \"bbox\": [222, 54, 249, 64]}, {\"cell\": \"–\", \"bbox\": [264, 58, 270, 62]}, {\"cell\": \"ACHN, 786-0\", \"bbox\": [289, 54, 331, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 54, 388, 64]}, {\"cell\": \"Zhang et al., 2014 [27]\", \"bbox\": [395, 54, 468, 64]}, {\"cell\": \"DCLK1↑ ALDH1\", \"bbox\": [1, 68, 52, 78]}, {\"cell\": \"+\", \"bbox\": [110, 68, 116, 78]}, {\"cell\": \"M↑\", \"bbox\": [171, 68, 184, 78]}, {\"cell\": \"–\", \"bbox\": [222, 72, 228, 76]}, {\"cell\": \"–\", \"bbox\": [264, 72, 270, 76]}, {\"cell\": \"Caki-2\", \"bbox\": [289, 68, 310, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 68, 364, 78]}, {\"cell\": \"Weygant et al., 2015 [29]\", \"bbox\": [395, 68, 471, 78]}, {\"cell\": \"CD44, CD133, CXCR4\", \"bbox\": [1, 82, 69, 92]}, {\"cell\": \"NS, B-cathenin\", \"bbox\": [110, 82, 158, 92]}, {\"cell\": \"M↑\", \"bbox\": [171, 82, 184, 92]}, {\"cell\": \"+, PIK3R1↓\", \"bbox\": [222, 82, 257, 92]}, {\"cell\": \"–\", \"bbox\": [264, 86, 270, 90]}, {\"cell\": \"786-0, A-704\", \"bbox\": [289, 82, 330, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 82, 383, 92]}, {\"cell\": \"Lin et al., 2015 [30]\", \"bbox\": [395, 82, 457, 92]}, {\"cell\": \"ALDH1\", \"bbox\": [1, 96, 25, 106]}, {\"cell\": \"+\", \"bbox\": [110, 96, 116, 106]}, {\"cell\": \"–\", \"bbox\": [171, 100, 177, 104]}, {\"cell\": \"–\", \"bbox\": [222, 100, 228, 104]}, {\"cell\": \"+\", \"bbox\": [264, 96, 271, 106]}, {\"cell\": \"Caki-2, ACHN\", \"bbox\": [289, 96, 333, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 96, 385, 106]}, {\"cell\": \"Wang et al., 2015 [63]\", \"bbox\": [395, 96, 466, 106]}, {\"cell\": \"CXCR4, CD105↓, CD133(−)b\", \"bbox\": [1, 108, 89, 120]}, {\"cell\": \"+\", \"bbox\": [110, 110, 116, 120]}, {\"cell\": \"–\", \"bbox\": [171, 114, 177, 118]}, {\"cell\": \"+\", \"bbox\": [222, 110, 228, 120]}, {\"cell\": \"+\", \"bbox\": [264, 110, 271, 120]}, {\"cell\": \"RCC-26, RCC-53\", \"bbox\": [289, 110, 338, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 110, 360, 120]}, {\"cell\": \"Gassenmaier et al., 2013 [14]\", \"bbox\": [395, 110, 482, 120]}, {\"cell\": \"CD24, CD44, CD133(−), CD105(−)\", \"bbox\": [1, 124, 103, 134]}, {\"cell\": \"+\", \"bbox\": [110, 124, 116, 134]}, {\"cell\": \"B-c↑\", \"bbox\": [171, 124, 187, 134]}, {\"cell\": \"+\", \"bbox\": [222, 124, 228, 134]}, {\"cell\": \"+\", \"bbox\": [264, 124, 271, 134]}, {\"cell\": \"SK-RC-42\", \"bbox\": [289, 124, 319, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 124, 360, 134]}, {\"cell\": \"Zhong et al., 2010 [72]\", \"bbox\": [395, 124, 469, 134]}, {\"cell\": \"CD24, CD44\", \"bbox\": [0, 138, 41, 148]}, {\"cell\": \"Side population\", \"bbox\": [110, 138, 162, 148]}, {\"cell\": \"–\", \"bbox\": [171, 142, 177, 146]}, {\"cell\": \"+\", \"bbox\": [222, 138, 228, 148]}, {\"cell\": \"+\", \"bbox\": [264, 138, 271, 148]}, {\"cell\": \"786-0\", \"bbox\": [289, 138, 308, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 138, 367, 148]}, {\"cell\": \"Lu et al., 2013 [21]\", \"bbox\": [395, 138, 455, 148]}, {\"cell\": \"ALDH1\", \"bbox\": [1, 152, 25, 162]}, {\"cell\": \"–\", \"bbox\": [110, 156, 116, 160]}, {\"cell\": \"NS\", \"bbox\": [171, 152, 182, 162]}, {\"cell\": \"+\", \"bbox\": [222, 152, 228, 162]}, {\"cell\": \"+\", \"bbox\": [264, 152, 271, 162]}, {\"cell\": \"ACHN\", \"bbox\": [289, 152, 310, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 152, 364, 162]}, {\"cell\": \"Ueda et al., 2013 [45]\", \"bbox\": [395, 152, 464, 162]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4574074_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Linkage group (LG)No. of single-marker lociNo. of bin lociTotal number of lociTotal number of mapped markersCoverage (cM)
A01623294274[EMPTY_CELL]
A02752196189[EMPTY_CELL]
A03722698163[EMPTY_CELL]
A04481361133[EMPTY_CELL]
A05712495150[EMPTY_CELL]
A068025105160[EMPTY_CELL]
A07403171163[EMPTY_CELL]
A08592685177[EMPTY_CELL]
A096238100311[EMPTY_CELL]
A10711283144[EMPTY_CELL]
Subtotal for the A subgenome6402488881864[EMPTY_CELL]
B01412667171[EMPTY_CELL]
B026739106236[EMPTY_CELL]
B03691786230[EMPTY_CELL]
B04661783139[EMPTY_CELL]
B05511970125[EMPTY_CELL]
B0650116179[EMPTY_CELL]
B07603999246[EMPTY_CELL]
B088822110239[EMPTY_CELL]
Subtotal for the B subgenome4921906821465[EMPTY_CELL]
Total for the AB genome113243815703329[EMPTY_CELL]
Mean (per LG)62.924.387.2184.9[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Linkage group (LG)\", \"bbox\": [1, 4, 64, 13]}, {\"cell\": \"No. of single-marker loci\", \"bbox\": [107, 4, 187, 13]}, {\"cell\": \"No. of bin loci\", \"bbox\": [193, 4, 240, 13]}, {\"cell\": \"Total number of loci\", \"bbox\": [246, 4, 314, 13]}, {\"cell\": \"Total number of mapped markers\", \"bbox\": [320, 4, 430, 13]}, {\"cell\": \"Coverage (cM)\", \"bbox\": [436, 4, 484, 13]}, {\"cell\": \"A01\", \"bbox\": [1, 17, 15, 26]}, {\"cell\": \"62\", \"bbox\": [107, 17, 116, 26]}, {\"cell\": \"32\", \"bbox\": [193, 17, 202, 26]}, {\"cell\": \"94\", \"bbox\": [246, 17, 256, 26]}, {\"cell\": \"274\", \"bbox\": [320, 17, 333, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [436, 17, 446, 26]}, {\"cell\": \"A02\", \"bbox\": [1, 31, 15, 40]}, {\"cell\": \"75\", \"bbox\": [107, 31, 116, 40]}, {\"cell\": \"21\", \"bbox\": [193, 31, 202, 40]}, {\"cell\": \"96\", \"bbox\": [246, 31, 256, 40]}, {\"cell\": \"189\", \"bbox\": [320, 31, 333, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [436, 31, 451, 40]}, {\"cell\": \"A03\", \"bbox\": [1, 45, 15, 54]}, {\"cell\": \"72\", \"bbox\": [107, 45, 116, 54]}, {\"cell\": \"26\", \"bbox\": [193, 45, 202, 54]}, {\"cell\": \"98\", \"bbox\": [246, 45, 256, 54]}, {\"cell\": \"163\", \"bbox\": [320, 45, 333, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [436, 45, 451, 54]}, {\"cell\": \"A04\", \"bbox\": [1, 59, 15, 68]}, {\"cell\": \"48\", \"bbox\": [107, 59, 116, 68]}, {\"cell\": \"13\", \"bbox\": [193, 59, 202, 68]}, {\"cell\": \"61\", \"bbox\": [246, 59, 256, 68]}, {\"cell\": \"133\", \"bbox\": [320, 59, 333, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [436, 59, 451, 68]}, {\"cell\": \"A05\", \"bbox\": [1, 73, 15, 82]}, {\"cell\": \"71\", \"bbox\": [107, 73, 116, 82]}, {\"cell\": \"24\", \"bbox\": [193, 73, 202, 82]}, {\"cell\": \"95\", \"bbox\": [246, 73, 256, 82]}, {\"cell\": \"150\", \"bbox\": [320, 73, 333, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [436, 73, 451, 82]}, {\"cell\": \"A06\", \"bbox\": [1, 87, 15, 96]}, {\"cell\": \"80\", \"bbox\": [107, 87, 116, 96]}, {\"cell\": \"25\", \"bbox\": [193, 87, 202, 96]}, {\"cell\": \"105\", \"bbox\": [246, 87, 260, 96]}, {\"cell\": \"160\", \"bbox\": [320, 87, 333, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [436, 87, 451, 96]}, {\"cell\": \"A07\", \"bbox\": [1, 101, 15, 110]}, {\"cell\": \"40\", \"bbox\": [107, 101, 116, 110]}, {\"cell\": \"31\", \"bbox\": [193, 101, 202, 110]}, {\"cell\": \"71\", \"bbox\": [246, 101, 256, 110]}, {\"cell\": \"163\", \"bbox\": [320, 101, 333, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [436, 101, 451, 110]}, {\"cell\": \"A08\", \"bbox\": [1, 115, 15, 124]}, {\"cell\": \"59\", \"bbox\": [107, 115, 116, 124]}, {\"cell\": \"26\", \"bbox\": [193, 115, 202, 124]}, {\"cell\": \"85\", \"bbox\": [246, 115, 256, 124]}, {\"cell\": \"177\", \"bbox\": [320, 115, 333, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [436, 115, 451, 124]}, {\"cell\": \"A09\", \"bbox\": [1, 129, 15, 138]}, {\"cell\": \"62\", \"bbox\": [107, 129, 116, 138]}, {\"cell\": \"38\", \"bbox\": [193, 129, 202, 138]}, {\"cell\": \"100\", \"bbox\": [246, 129, 260, 138]}, {\"cell\": \"311\", \"bbox\": [320, 129, 333, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [436, 129, 450, 138]}, {\"cell\": \"A10\", \"bbox\": [1, 143, 15, 152]}, {\"cell\": \"71\", \"bbox\": [107, 143, 116, 152]}, {\"cell\": \"12\", \"bbox\": [193, 143, 202, 152]}, {\"cell\": \"83\", \"bbox\": [246, 143, 256, 152]}, {\"cell\": \"144\", \"bbox\": [320, 143, 333, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [436, 143, 451, 152]}, {\"cell\": \"Subtotal for the A subgenome\", \"bbox\": [1, 157, 101, 166]}, {\"cell\": \"640\", \"bbox\": [107, 157, 120, 166]}, {\"cell\": \"248\", \"bbox\": [193, 157, 206, 166]}, {\"cell\": \"888\", \"bbox\": [246, 157, 260, 166]}, {\"cell\": \"1864\", \"bbox\": [320, 157, 337, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [436, 157, 455, 166]}, {\"cell\": \"B01\", \"bbox\": [1, 171, 14, 180]}, {\"cell\": \"41\", \"bbox\": [107, 171, 116, 180]}, {\"cell\": \"26\", \"bbox\": [193, 171, 202, 180]}, {\"cell\": \"67\", \"bbox\": [246, 171, 256, 180]}, {\"cell\": \"171\", \"bbox\": [320, 171, 333, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [436, 171, 451, 180]}, {\"cell\": \"B02\", \"bbox\": [1, 185, 14, 194]}, {\"cell\": \"67\", \"bbox\": [107, 185, 116, 194]}, {\"cell\": \"39\", \"bbox\": [193, 185, 202, 194]}, {\"cell\": \"106\", \"bbox\": [246, 185, 260, 194]}, {\"cell\": \"236\", \"bbox\": [320, 185, 333, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [436, 185, 455, 194]}, {\"cell\": \"B03\", \"bbox\": [1, 199, 14, 208]}, {\"cell\": \"69\", \"bbox\": [107, 199, 116, 208]}, {\"cell\": \"17\", \"bbox\": [193, 199, 202, 208]}, {\"cell\": \"86\", \"bbox\": [246, 199, 256, 208]}, {\"cell\": \"230\", \"bbox\": [320, 199, 333, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [436, 199, 451, 208]}, {\"cell\": \"B04\", \"bbox\": [1, 213, 14, 222]}, {\"cell\": \"66\", \"bbox\": [107, 213, 116, 222]}, {\"cell\": \"17\", \"bbox\": [193, 213, 202, 222]}, {\"cell\": \"83\", \"bbox\": [246, 213, 256, 222]}, {\"cell\": \"139\", \"bbox\": [320, 213, 333, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [436, 213, 455, 222]}, {\"cell\": \"B05\", \"bbox\": [1, 227, 14, 236]}, {\"cell\": \"51\", \"bbox\": [107, 227, 116, 236]}, {\"cell\": \"19\", \"bbox\": [193, 227, 202, 236]}, {\"cell\": \"70\", \"bbox\": [246, 227, 256, 236]}, {\"cell\": \"125\", \"bbox\": [320, 227, 333, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [436, 227, 455, 236]}, {\"cell\": \"B06\", \"bbox\": [1, 241, 14, 250]}, {\"cell\": \"50\", \"bbox\": [107, 241, 116, 250]}, {\"cell\": \"11\", \"bbox\": [193, 241, 202, 250]}, {\"cell\": \"61\", \"bbox\": [246, 241, 256, 250]}, {\"cell\": \"79\", \"bbox\": [320, 241, 329, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [436, 241, 451, 250]}, {\"cell\": \"B07\", \"bbox\": [1, 255, 14, 264]}, {\"cell\": \"60\", \"bbox\": [107, 255, 116, 264]}, {\"cell\": \"39\", \"bbox\": [193, 255, 202, 264]}, {\"cell\": \"99\", \"bbox\": [246, 255, 256, 264]}, {\"cell\": \"246\", \"bbox\": [320, 255, 333, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [436, 255, 455, 264]}, {\"cell\": \"B08\", \"bbox\": [1, 269, 14, 278]}, {\"cell\": \"88\", \"bbox\": [107, 269, 116, 278]}, {\"cell\": \"22\", \"bbox\": [193, 269, 202, 278]}, {\"cell\": \"110\", \"bbox\": [246, 269, 260, 278]}, {\"cell\": \"239\", \"bbox\": [320, 269, 333, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [436, 269, 455, 278]}, {\"cell\": \"Subtotal for the B subgenome\", \"bbox\": [1, 283, 100, 292]}, {\"cell\": \"492\", \"bbox\": [107, 283, 120, 292]}, {\"cell\": \"190\", \"bbox\": [193, 283, 206, 292]}, {\"cell\": \"682\", \"bbox\": [246, 283, 260, 292]}, {\"cell\": \"1465\", \"bbox\": [320, 283, 337, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [436, 283, 450, 292]}, {\"cell\": \"Total for the AB genome\", \"bbox\": [1, 297, 82, 306]}, {\"cell\": \"1132\", \"bbox\": [107, 297, 124, 306]}, {\"cell\": \"438\", \"bbox\": [193, 297, 206, 306]}, {\"cell\": \"1570\", \"bbox\": [246, 297, 263, 306]}, {\"cell\": \"3329\", \"bbox\": [320, 297, 337, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [436, 297, 459, 306]}, {\"cell\": \"Mean (per LG)\", \"bbox\": [1, 311, 48, 320]}, {\"cell\": \"62.9\", \"bbox\": [107, 311, 121, 320]}, {\"cell\": \"24.3\", \"bbox\": [193, 311, 207, 320]}, {\"cell\": \"87.2\", \"bbox\": [246, 311, 261, 320]}, {\"cell\": \"184.9\", \"bbox\": [320, 311, 338, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [436, 311, 451, 320]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4700566_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
AntibodyControl (I)PDAC w CTXPDAC w/o CTXp
Good response (II)Bad response (III)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]3100I vs. II: 0.0901
[EMPTY_CELL]6760I vs. III: 0.0003
[EMPTY_CELL]4141612II vs. III: 0.0394
[EMPTY_CELL]031715[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]71061I vs. II: 0.7549
[EMPTY_CELL]481316I vs. III: 0.0287
[EMPTY_CELL]26159II vs. III: 0.1147
[EMPTY_CELL]0151[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]0000I vs. II: 0.0687
[EMPTY_CELL]5231I vs. III: 0.0137
[EMPTY_CELL]513138II vs. III: 0.3054
[EMPTY_CELL]3102318[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]0000I vs. II: 0.7427
[EMPTY_CELL]0171I vs. III: 0.1068
[EMPTY_CELL]23115II vs. III: 0.0426
[EMPTY_CELL]11212121[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]9141I vs. II: 0.00001
[EMPTY_CELL]43123I vs. III: 0.0001
[EMPTY_CELL]061110II vs. III: 0.1005
[EMPTY_CELL]0151213[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]2000I vs. II: 0.00003
[EMPTY_CELL]8172I vs. III: 0.0005
[EMPTY_CELL]3122419II vs. III: 0.0378
[EMPTY_CELL]01286[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]10010I vs. II: <0.0001
[EMPTY_CELL]3462I vs. III: <0.0001
[EMPTY_CELL]0142312II vs. III: 0.8456
[EMPTY_CELL]07913[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Antibody\", \"bbox\": [1, 4, 32, 13]}, {\"cell\": \"Control (I)\", \"bbox\": [72, 4, 106, 13]}, {\"cell\": \"PDAC w CTX\", \"bbox\": [146, 4, 189, 13]}, {\"cell\": \"PDAC w/o CTX\", \"bbox\": [344, 4, 394, 13]}, {\"cell\": \"p\", \"bbox\": [434, 6, 440, 13]}, {\"cell\": \"Good response (II)\", \"bbox\": [146, 17, 207, 27]}, {\"cell\": \"Bad response (III)\", \"bbox\": [247, 17, 303, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 30, 19, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 44, 11, 54]}, {\"cell\": \"3\", \"bbox\": [72, 44, 78, 54]}, {\"cell\": \"1\", \"bbox\": [146, 44, 152, 54]}, {\"cell\": \"0\", \"bbox\": [247, 44, 253, 54]}, {\"cell\": \"0\", \"bbox\": [344, 44, 350, 54]}, {\"cell\": \"I vs. II: 0.0901\", \"bbox\": [434, 44, 478, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 58, 11, 68]}, {\"cell\": \"6\", \"bbox\": [72, 58, 78, 68]}, {\"cell\": \"7\", \"bbox\": [146, 58, 152, 68]}, {\"cell\": \"6\", \"bbox\": [247, 58, 253, 68]}, {\"cell\": \"0\", \"bbox\": [344, 58, 350, 68]}, {\"cell\": \"I vs. III: 0.0003\", \"bbox\": [434, 58, 480, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 72, 11, 82]}, {\"cell\": \"4\", \"bbox\": [72, 72, 78, 82]}, {\"cell\": \"14\", \"bbox\": [146, 72, 156, 82]}, {\"cell\": \"16\", \"bbox\": [247, 72, 257, 82]}, {\"cell\": \"12\", \"bbox\": [344, 72, 353, 82]}, {\"cell\": \"II vs. III: 0.0394\", \"bbox\": [434, 72, 481, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 86, 11, 96]}, {\"cell\": \"0\", \"bbox\": [72, 86, 78, 96]}, {\"cell\": \"3\", \"bbox\": [146, 86, 152, 96]}, {\"cell\": \"17\", \"bbox\": [247, 86, 257, 96]}, {\"cell\": \"15\", \"bbox\": [344, 86, 353, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 100, 16, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 114, 11, 124]}, {\"cell\": \"7\", \"bbox\": [72, 114, 78, 124]}, {\"cell\": \"10\", \"bbox\": [146, 114, 156, 124]}, {\"cell\": \"6\", \"bbox\": [247, 114, 253, 124]}, {\"cell\": \"1\", \"bbox\": [344, 114, 350, 124]}, {\"cell\": \"I vs. II: 0.7549\", \"bbox\": [434, 114, 478, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 128, 11, 138]}, {\"cell\": \"4\", \"bbox\": [72, 128, 78, 138]}, {\"cell\": \"8\", \"bbox\": [146, 128, 152, 138]}, {\"cell\": \"13\", \"bbox\": [247, 128, 257, 138]}, {\"cell\": \"16\", \"bbox\": [344, 128, 353, 138]}, {\"cell\": \"I vs. III: 0.0287\", \"bbox\": [434, 128, 480, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 142, 11, 152]}, {\"cell\": \"2\", \"bbox\": [72, 142, 78, 152]}, {\"cell\": \"6\", \"bbox\": [146, 142, 152, 152]}, {\"cell\": \"15\", \"bbox\": [247, 142, 257, 152]}, {\"cell\": \"9\", \"bbox\": [344, 142, 350, 152]}, {\"cell\": \"II vs. III: 0.1147\", \"bbox\": [434, 142, 481, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 156, 11, 166]}, {\"cell\": \"0\", \"bbox\": [72, 156, 78, 166]}, {\"cell\": \"1\", \"bbox\": [146, 156, 152, 166]}, {\"cell\": \"5\", \"bbox\": [247, 156, 253, 166]}, {\"cell\": \"1\", \"bbox\": [344, 156, 350, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 170, 16, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 184, 11, 194]}, {\"cell\": \"0\", \"bbox\": [72, 184, 78, 194]}, {\"cell\": \"0\", \"bbox\": [146, 184, 152, 194]}, {\"cell\": \"0\", \"bbox\": [247, 184, 253, 194]}, {\"cell\": \"0\", \"bbox\": [344, 184, 350, 194]}, {\"cell\": \"I vs. II: 0.0687\", \"bbox\": [434, 184, 478, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 198, 11, 208]}, {\"cell\": \"5\", \"bbox\": [72, 198, 78, 208]}, {\"cell\": \"2\", \"bbox\": [146, 198, 152, 208]}, {\"cell\": \"3\", \"bbox\": [247, 198, 253, 208]}, {\"cell\": \"1\", \"bbox\": [344, 198, 350, 208]}, {\"cell\": \"I vs. III: 0.0137\", \"bbox\": [434, 198, 480, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 212, 11, 222]}, {\"cell\": \"5\", \"bbox\": [72, 212, 78, 222]}, {\"cell\": \"13\", \"bbox\": [146, 212, 156, 222]}, {\"cell\": \"13\", \"bbox\": [247, 212, 257, 222]}, {\"cell\": \"8\", \"bbox\": [344, 212, 350, 222]}, {\"cell\": \"II vs. III: 0.3054\", \"bbox\": [434, 212, 481, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 226, 11, 236]}, {\"cell\": \"3\", \"bbox\": [72, 226, 78, 236]}, {\"cell\": \"10\", \"bbox\": [146, 226, 156, 236]}, {\"cell\": \"23\", \"bbox\": [247, 226, 257, 236]}, {\"cell\": \"18\", \"bbox\": [344, 226, 353, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 240, 24, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 254, 11, 264]}, {\"cell\": \"0\", \"bbox\": [72, 254, 78, 264]}, {\"cell\": \"0\", \"bbox\": [146, 254, 152, 264]}, {\"cell\": \"0\", \"bbox\": [247, 254, 253, 264]}, {\"cell\": \"0\", \"bbox\": [344, 254, 350, 264]}, {\"cell\": \"I vs. II: 0.7427\", \"bbox\": [434, 254, 478, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 268, 11, 278]}, {\"cell\": \"0\", \"bbox\": [72, 268, 78, 278]}, {\"cell\": \"1\", \"bbox\": [146, 268, 152, 278]}, {\"cell\": \"7\", \"bbox\": [247, 268, 253, 278]}, {\"cell\": \"1\", \"bbox\": [344, 268, 350, 278]}, {\"cell\": \"I vs. III: 0.1068\", \"bbox\": [434, 268, 480, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 282, 11, 292]}, {\"cell\": \"2\", \"bbox\": [72, 282, 78, 292]}, {\"cell\": \"3\", \"bbox\": [146, 282, 152, 292]}, {\"cell\": \"11\", \"bbox\": [247, 282, 257, 292]}, {\"cell\": \"5\", \"bbox\": [344, 282, 350, 292]}, {\"cell\": \"II vs. III: 0.0426\", \"bbox\": [434, 282, 481, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 296, 11, 306]}, {\"cell\": \"11\", \"bbox\": [72, 296, 82, 306]}, {\"cell\": \"21\", \"bbox\": [146, 296, 156, 306]}, {\"cell\": \"21\", \"bbox\": [247, 296, 257, 306]}, {\"cell\": \"21\", \"bbox\": [344, 296, 353, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 310, 23, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 324, 11, 334]}, {\"cell\": \"9\", \"bbox\": [72, 324, 78, 334]}, {\"cell\": \"1\", \"bbox\": [146, 324, 152, 334]}, {\"cell\": \"4\", \"bbox\": [247, 324, 253, 334]}, {\"cell\": \"1\", \"bbox\": [344, 324, 350, 334]}, {\"cell\": \"I vs. II: 0.00001\", \"bbox\": [434, 324, 482, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 338, 11, 348]}, {\"cell\": \"4\", \"bbox\": [72, 338, 78, 348]}, {\"cell\": \"3\", \"bbox\": [146, 338, 152, 348]}, {\"cell\": \"12\", \"bbox\": [247, 338, 257, 348]}, {\"cell\": \"3\", \"bbox\": [344, 338, 350, 348]}, {\"cell\": \"I vs. III: 0.0001\", \"bbox\": [434, 338, 480, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 352, 11, 362]}, {\"cell\": \"0\", \"bbox\": [72, 352, 78, 362]}, {\"cell\": \"6\", \"bbox\": [146, 352, 152, 362]}, {\"cell\": \"11\", \"bbox\": [247, 352, 257, 362]}, {\"cell\": \"10\", \"bbox\": [344, 352, 353, 362]}, {\"cell\": \"II vs. III: 0.1005\", \"bbox\": [434, 352, 481, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 366, 11, 376]}, {\"cell\": \"0\", \"bbox\": [72, 366, 78, 376]}, {\"cell\": \"15\", \"bbox\": [146, 366, 156, 376]}, {\"cell\": \"12\", \"bbox\": [247, 366, 257, 376]}, {\"cell\": \"13\", \"bbox\": [344, 366, 353, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 380, 25, 390]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 394, 11, 404]}, {\"cell\": \"2\", \"bbox\": [72, 394, 78, 404]}, {\"cell\": \"0\", \"bbox\": [146, 394, 152, 404]}, {\"cell\": \"0\", \"bbox\": [247, 394, 253, 404]}, {\"cell\": \"0\", \"bbox\": [344, 394, 350, 404]}, {\"cell\": \"I vs. II: 0.00003\", \"bbox\": [434, 394, 482, 404]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 408, 11, 418]}, {\"cell\": \"8\", \"bbox\": [72, 408, 78, 418]}, {\"cell\": \"1\", \"bbox\": [146, 408, 152, 418]}, {\"cell\": \"7\", \"bbox\": [247, 408, 253, 418]}, {\"cell\": \"2\", \"bbox\": [344, 408, 350, 418]}, {\"cell\": \"I vs. III: 0.0005\", \"bbox\": [434, 408, 480, 418]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 422, 11, 432]}, {\"cell\": \"3\", \"bbox\": [72, 422, 78, 432]}, {\"cell\": \"12\", \"bbox\": [146, 422, 156, 432]}, {\"cell\": \"24\", \"bbox\": [247, 422, 257, 432]}, {\"cell\": \"19\", \"bbox\": [344, 422, 353, 432]}, {\"cell\": \"II vs. III: 0.0378\", \"bbox\": [434, 422, 481, 432]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 436, 11, 446]}, {\"cell\": \"0\", \"bbox\": [72, 436, 78, 446]}, {\"cell\": \"12\", \"bbox\": [146, 436, 156, 446]}, {\"cell\": \"8\", \"bbox\": [247, 436, 253, 446]}, {\"cell\": \"6\", \"bbox\": [344, 436, 350, 446]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 450, 25, 460]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 464, 11, 474]}, {\"cell\": \"10\", \"bbox\": [72, 464, 82, 474]}, {\"cell\": \"0\", \"bbox\": [146, 464, 152, 474]}, {\"cell\": \"1\", \"bbox\": [247, 464, 253, 474]}, {\"cell\": \"0\", \"bbox\": [344, 464, 350, 474]}, {\"cell\": \"I vs. II: <0.0001\", \"bbox\": [434, 464, 483, 474]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 478, 11, 488]}, {\"cell\": \"3\", \"bbox\": [72, 478, 78, 488]}, {\"cell\": \"4\", \"bbox\": [146, 478, 152, 488]}, {\"cell\": \"6\", \"bbox\": [247, 478, 253, 488]}, {\"cell\": \"2\", \"bbox\": [344, 478, 350, 488]}, {\"cell\": \"I vs. III: <0.0001\", \"bbox\": [434, 478, 484, 488]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 492, 11, 502]}, {\"cell\": \"0\", \"bbox\": [72, 492, 78, 502]}, {\"cell\": \"14\", \"bbox\": [146, 492, 156, 502]}, {\"cell\": \"23\", \"bbox\": [247, 492, 257, 502]}, {\"cell\": \"12\", \"bbox\": [344, 492, 353, 502]}, {\"cell\": \"II vs. III: 0.8456\", \"bbox\": [434, 492, 481, 502]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 506, 11, 516]}, {\"cell\": \"0\", \"bbox\": [72, 506, 78, 516]}, {\"cell\": \"7\", \"bbox\": [146, 506, 152, 516]}, {\"cell\": \"9\", \"bbox\": [247, 506, 253, 516]}, {\"cell\": \"13\", \"bbox\": [344, 506, 353, 516]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4690288_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
PrimerSequence
[EMPTY_CELL]5′‐GGAATGAAGGGACACAGAGG‐3′
[EMPTY_CELL]5′‐TAGCACCATCATTTCCACGA‐3′
[EMPTY_CELL]5′‐GGTGCTCCTTCAGATTGACC‐3′
[EMPTY_CELL]5′‐GACCCCTTTTCAGGAACACA‐3′
[EMPTY_CELL]5′‐GGATTCAGTGTCTCGGCTTC‐3′
[EMPTY_CELL]5′‐TGCTGTGCTTCTTCTTTCCA‐3′
[EMPTY_CELL]5′‐CGAGATGCGTGACCAGTATG‐3′
[EMPTY_CELL]5′‐TGTTCTCCAGGGATGCTTTC‐3′
[EMPTY_CELL]5′‐GCTCACTTCGGCTAAAATGC‐3′
[EMPTY_CELL]5′‐CAGCACCAATTCCTTCACAA‐3′
[EMPTY_CELL]5′‐GTCCTGTACGTGAAGCTCGG‐3′
[EMPTY_CELL]5′‐GTACTGGCACTCGTTGATGC‐3′
[EMPTY_CELL]5′‐GCAAGTCCAGACTGGGGATA‐3′
[EMPTY_CELL]5′‐TCAGCACTGATCGGTTATCG‐3′
[EMPTY_CELL]5′‐GAAGGTGAAGGTCGGAGTC‐3′
[EMPTY_CELL]5′‐GAAGATGGTGATGGGATTTC‐3′
[EMPTY_CELL]5′‐GACCAGTCAACAGGGGACAT‐3′
[EMPTY_CELL]5′‐CCTGACCAAGGAAAGCAAAG‐3′
\", \"cells\": [{\"cell\": \"Primer\", \"bbox\": [2, 2, 27, 12]}, {\"cell\": \"Sequence\", \"bbox\": [114, 2, 148, 12]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 15, 41, 23]}, {\"cell\": \"5′‐GGAATGAAGGGACACAGAGG‐3′\", \"bbox\": [115, 15, 225, 23]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 33, 42, 41]}, {\"cell\": \"5′‐TAGCACCATCATTTCCACGA‐3′\", \"bbox\": [115, 33, 220, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 49, 41, 57]}, {\"cell\": \"5′‐GGTGCTCCTTCAGATTGACC‐3′\", \"bbox\": [115, 49, 221, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 67, 42, 75]}, {\"cell\": \"5′‐GACCCCTTTTCAGGAACACA‐3′\", \"bbox\": [115, 67, 221, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 83, 38, 91]}, {\"cell\": \"5′‐GGATTCAGTGTCTCGGCTTC‐3′\", \"bbox\": [115, 83, 221, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 101, 39, 109]}, {\"cell\": \"5′‐TGCTGTGCTTCTTCTTTCCA‐3′\", \"bbox\": [115, 101, 218, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 117, 37, 126]}, {\"cell\": \"5′‐CGAGATGCGTGACCAGTATG‐3′\", \"bbox\": [115, 117, 223, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 135, 38, 143]}, {\"cell\": \"5′‐TGTTCTCCAGGGATGCTTTC‐3′\", \"bbox\": [115, 135, 220, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 151, 42, 160]}, {\"cell\": \"5′‐GCTCACTTCGGCTAAAATGC‐3′\", \"bbox\": [115, 151, 221, 160]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 169, 43, 178]}, {\"cell\": \"5′‐CAGCACCAATTCCTTCACAA‐3′\", \"bbox\": [115, 169, 220, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 186, 39, 194]}, {\"cell\": \"5′‐GTCCTGTACGTGAAGCTCGG‐3′\", \"bbox\": [115, 186, 223, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 203, 40, 212]}, {\"cell\": \"5′‐GTACTGGCACTCGTTGATGC‐3′\", \"bbox\": [115, 203, 222, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 220, 28, 228]}, {\"cell\": \"5′‐GCAAGTCCAGACTGGGGATA‐3′\", \"bbox\": [115, 220, 223, 228]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 238, 29, 246]}, {\"cell\": \"5′‐TCAGCACTGATCGGTTATCG‐3′\", \"bbox\": [115, 238, 221, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 254, 39, 262]}, {\"cell\": \"5′‐GAAGGTGAAGGTCGGAGTC‐3′\", \"bbox\": [115, 254, 220, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 272, 40, 280]}, {\"cell\": \"5′‐GAAGATGGTGATGGGATTTC‐3′\", \"bbox\": [115, 272, 223, 280]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 288, 38, 296]}, {\"cell\": \"5′‐GACCAGTCAACAGGGGACAT‐3′\", \"bbox\": [115, 288, 223, 296]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 305, 38, 313]}, {\"cell\": \"5′‐CCTGACCAAGGAAAGCAAAG‐3′\", \"bbox\": [115, 305, 223, 313]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5323822_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]EMT up-regulatedEMT down-regulated
Phenotypes1[EMPTY_CELL]NOM p-valFWER p-val2NESNOM p-valFWER p-val
Gender(Male vs Female)[EMPTY_CELL]0.170.209−1.1330.2470.348
Age(≥ 60 ys vs < 60 ys)[EMPTY_CELL]0.350.432−1.1280.2580.331
Smoking(≥ 20 pys vs < 20 pys)[EMPTY_CELL]0.1980.231−0.9490.5490.609
T(T3&T4 vs T1&T2)[EMPTY_CELL]0.3940.4480.7290.940.949
N(N1&N2 vs N0)[EMPTY_CELL]<0.001<0.001***0.950.5520.612
TNM Stage(I&II vs III)[EMPTY_CELL]0.0680.08*0.6640.9750.976
Differ.(P vs M&W)[EMPTY_CELL]0.5390.648−1.2460.1420.2
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"EMT up-regulated\", \"bbox\": [190, 0, 271, 16]}, {\"cell\": \"EMT down-regulated\", \"bbox\": [342, 0, 437, 16]}, {\"cell\": \"Phenotypes1\", \"bbox\": [4, 19, 55, 34]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [152, 22, 173, 33]}, {\"cell\": \"NOM p-val\", \"bbox\": [203, 19, 252, 34]}, {\"cell\": \"FWER p-val2\", \"bbox\": [257, 14, 287, 39]}, {\"cell\": \"NES\", \"bbox\": [313, 22, 334, 33]}, {\"cell\": \"NOM p-val\", \"bbox\": [369, 19, 418, 34]}, {\"cell\": \"FWER p-val\", \"bbox\": [426, 14, 456, 39]}, {\"cell\": \"Gender(Male vs Female)\", \"bbox\": [4, 39, 105, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [152, 43, 180, 54]}, {\"cell\": \"0.17\", \"bbox\": [203, 43, 223, 54]}, {\"cell\": \"0.209\", \"bbox\": [257, 39, 282, 55]}, {\"cell\": \"−1.133\", \"bbox\": [313, 43, 341, 54]}, {\"cell\": \"0.247\", \"bbox\": [369, 43, 394, 54]}, {\"cell\": \"0.348\", \"bbox\": [426, 43, 450, 54]}, {\"cell\": \"Age(≥ 60 ys vs < 60 ys)\", \"bbox\": [4, 57, 102, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [152, 57, 176, 73]}, {\"cell\": \"0.35\", \"bbox\": [203, 61, 223, 72]}, {\"cell\": \"0.432\", \"bbox\": [257, 61, 282, 72]}, {\"cell\": \"−1.128\", \"bbox\": [313, 61, 341, 72]}, {\"cell\": \"0.258\", \"bbox\": [369, 61, 394, 72]}, {\"cell\": \"0.331\", \"bbox\": [426, 61, 450, 72]}, {\"cell\": \"Smoking(≥ 20 pys vs < 20 pys)\", \"bbox\": [4, 76, 131, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [152, 76, 180, 91]}, {\"cell\": \"0.198\", \"bbox\": [203, 76, 228, 91]}, {\"cell\": \"0.231\", \"bbox\": [257, 79, 282, 91]}, {\"cell\": \"−0.949\", \"bbox\": [313, 76, 341, 91]}, {\"cell\": \"0.549\", \"bbox\": [369, 76, 394, 91]}, {\"cell\": \"0.609\", \"bbox\": [426, 76, 450, 91]}, {\"cell\": \"T(T3&T4 vs T1&T2)\", \"bbox\": [4, 95, 92, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [152, 98, 176, 109]}, {\"cell\": \"0.394\", \"bbox\": [203, 95, 228, 110]}, {\"cell\": \"0.448\", \"bbox\": [257, 98, 282, 109]}, {\"cell\": \"0.729\", \"bbox\": [313, 95, 338, 110]}, {\"cell\": \"0.94\", \"bbox\": [369, 95, 389, 110]}, {\"cell\": \"0.949\", \"bbox\": [426, 95, 450, 110]}, {\"cell\": \"N(N1&N2 vs N0)\", \"bbox\": [4, 113, 78, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [152, 117, 176, 128]}, {\"cell\": \"<0.001\", \"bbox\": [203, 113, 234, 129]}, {\"cell\": \"<0.001***\", \"bbox\": [257, 113, 303, 129]}, {\"cell\": \"0.95\", \"bbox\": [313, 113, 333, 129]}, {\"cell\": \"0.552\", \"bbox\": [369, 117, 394, 128]}, {\"cell\": \"0.612\", \"bbox\": [426, 113, 450, 129]}, {\"cell\": \"TNM Stage(I&II vs III)\", \"bbox\": [4, 130, 101, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [152, 130, 176, 146]}, {\"cell\": \"0.068\", \"bbox\": [203, 130, 228, 146]}, {\"cell\": \"0.08*\", \"bbox\": [257, 130, 282, 146]}, {\"cell\": \"0.664\", \"bbox\": [313, 130, 338, 146]}, {\"cell\": \"0.975\", \"bbox\": [369, 130, 394, 146]}, {\"cell\": \"0.976\", \"bbox\": [426, 130, 450, 146]}, {\"cell\": \"Differ.(P vs M&W)\", \"bbox\": [4, 146, 83, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [152, 146, 176, 161]}, {\"cell\": \"0.539\", \"bbox\": [203, 146, 228, 161]}, {\"cell\": \"0.648\", \"bbox\": [257, 146, 282, 161]}, {\"cell\": \"−1.246\", \"bbox\": [313, 146, 341, 161]}, {\"cell\": \"0.142\", \"bbox\": [369, 149, 394, 160]}, {\"cell\": \"0.2\", \"bbox\": [426, 149, 440, 160]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5581137_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariableCategoryNo. testedNo. positivePrevalence in % (95% CI)p-valueOR (95% CI)
[EMPTY_CELL]Male761925.00 (15.04-34.96)0.429Reference
[EMPTY_CELL]Female621219.35 (9.24-29.47)[EMPTY_CELL]0.72 (0.32-1.63)
[EMPTY_CELL]≤ 1 year36513.89 (2.02-25.76)0.002Reference
[EMPTY_CELL]1-2 year61914.75 (5.60-23.91)[EMPTY_CELL]1.07 (0.33-3.49)
[EMPTY_CELL]≥ 2 year411741.46 (25.72-57.21)[EMPTY_CELL]4.39 (1.42-13.60)
[EMPTY_CELL]201116425.00 (1.17-48.83)0.967Reference
[EMPTY_CELL]201231619.35 (4.62-34.09)[EMPTY_CELL]0.72 (0.17-3.04)
[EMPTY_CELL]201337924.32 (9.82-38.83)[EMPTY_CELL]0.96 (0.25-3.75)
[EMPTY_CELL]201428725.00 (7.90-42.10)[EMPTY_CELL]1.00 (0.24-4.13)
[EMPTY_CELL]201526519.23 (3.00-35.46)[EMPTY_CELL]0.71 (0.16-3.18)
[EMPTY_CELL][EMPTY_CELL]1383122.46 (15.41-29.51)[EMPTY_CELL][EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Variable\", \"bbox\": [0, 4, 36, 15]}, {\"cell\": \"Category\", \"bbox\": [81, 4, 119, 15]}, {\"cell\": \"No. tested\", \"bbox\": [138, 4, 181, 15]}, {\"cell\": \"No. positive\", \"bbox\": [200, 4, 249, 15]}, {\"cell\": \"Prevalence in % (95% CI)\", \"bbox\": [269, 4, 373, 15]}, {\"cell\": \"p-value\", \"bbox\": [393, 4, 423, 15]}, {\"cell\": \"OR (95% CI)\", \"bbox\": [443, 4, 497, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 16, 28]}, {\"cell\": \"Male\", \"bbox\": [81, 17, 102, 28]}, {\"cell\": \"76\", \"bbox\": [138, 17, 149, 28]}, {\"cell\": \"19\", \"bbox\": [200, 17, 211, 28]}, {\"cell\": \"25.00 (15.04-34.96)\", \"bbox\": [269, 17, 345, 28]}, {\"cell\": \"0.429\", \"bbox\": [393, 17, 415, 28]}, {\"cell\": \"Reference\", \"bbox\": [443, 17, 482, 28]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Female\", \"bbox\": [81, 30, 111, 41]}, {\"cell\": \"62\", \"bbox\": [138, 30, 149, 41]}, {\"cell\": \"12\", \"bbox\": [200, 30, 211, 41]}, {\"cell\": \"19.35 (9.24-29.47)\", \"bbox\": [269, 30, 341, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.72 (0.32-1.63)\", \"bbox\": [443, 30, 505, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 42, 18, 53]}, {\"cell\": \"≤ 1 year\", \"bbox\": [81, 42, 114, 53]}, {\"cell\": \"36\", \"bbox\": [138, 42, 149, 53]}, {\"cell\": \"5\", \"bbox\": [200, 42, 207, 53]}, {\"cell\": \"13.89 (2.02-25.76)\", \"bbox\": [269, 42, 341, 53]}, {\"cell\": \"0.002\", \"bbox\": [393, 42, 415, 53]}, {\"cell\": \"Reference\", \"bbox\": [443, 42, 482, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1-2 year\", \"bbox\": [81, 55, 113, 66]}, {\"cell\": \"61\", \"bbox\": [138, 55, 149, 66]}, {\"cell\": \"9\", \"bbox\": [200, 55, 207, 66]}, {\"cell\": \"14.75 (5.60-23.91)\", \"bbox\": [269, 55, 341, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.07 (0.33-3.49)\", \"bbox\": [443, 55, 505, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"≥ 2 year\", \"bbox\": [81, 67, 113, 78]}, {\"cell\": \"41\", \"bbox\": [138, 67, 149, 78]}, {\"cell\": \"17\", \"bbox\": [200, 67, 211, 78]}, {\"cell\": \"41.46 (25.72-57.21)\", \"bbox\": [269, 67, 345, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"4.39 (1.42-13.60)\", \"bbox\": [443, 67, 510, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 80, 61, 91]}, {\"cell\": \"2011\", \"bbox\": [81, 80, 101, 91]}, {\"cell\": \"16\", \"bbox\": [138, 80, 149, 91]}, {\"cell\": \"4\", \"bbox\": [200, 80, 207, 91]}, {\"cell\": \"25.00 (1.17-48.83)\", \"bbox\": [269, 80, 341, 91]}, {\"cell\": \"0.967\", \"bbox\": [393, 80, 415, 91]}, {\"cell\": \"Reference\", \"bbox\": [443, 80, 482, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2012\", \"bbox\": [81, 92, 101, 103]}, {\"cell\": \"31\", \"bbox\": [138, 92, 149, 103]}, {\"cell\": \"6\", \"bbox\": [200, 92, 207, 103]}, {\"cell\": \"19.35 (4.62-34.09)\", \"bbox\": [269, 92, 341, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.72 (0.17-3.04)\", \"bbox\": [443, 92, 505, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2013\", \"bbox\": [81, 104, 101, 115]}, {\"cell\": \"37\", \"bbox\": [138, 104, 149, 115]}, {\"cell\": \"9\", \"bbox\": [200, 104, 207, 115]}, {\"cell\": \"24.32 (9.82-38.83)\", \"bbox\": [269, 104, 341, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.96 (0.25-3.75)\", \"bbox\": [443, 104, 505, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2014\", \"bbox\": [81, 117, 101, 128]}, {\"cell\": \"28\", \"bbox\": [138, 117, 149, 128]}, {\"cell\": \"7\", \"bbox\": [200, 117, 207, 128]}, {\"cell\": \"25.00 (7.90-42.10)\", \"bbox\": [269, 117, 341, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.00 (0.24-4.13)\", \"bbox\": [443, 117, 505, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2015\", \"bbox\": [81, 129, 101, 140]}, {\"cell\": \"26\", \"bbox\": [138, 129, 149, 140]}, {\"cell\": \"5\", \"bbox\": [200, 129, 207, 140]}, {\"cell\": \"19.23 (3.00-35.46)\", \"bbox\": [269, 129, 341, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.71 (0.16-3.18)\", \"bbox\": [443, 129, 505, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 142, 24, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"138\", \"bbox\": [138, 142, 154, 153]}, {\"cell\": \"31\", \"bbox\": [200, 142, 211, 153]}, {\"cell\": \"22.46 (15.41-29.51)\", \"bbox\": [269, 142, 345, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5892174_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Treatment groupNumber of animalsNumber of deaths and clinical manifestations% Dead
StartEnd
Control - Deionized water1010NIL (normal behavior)[EMPTY_CELL]
2 mg/kg (500 mg/L of 0.1%) PHMB1010NIL (normal movements and 4 with reduced response to stimuli)[EMPTY_CELL]
8 mg/kg (2000 mg/L of 0.1%) PHMB1082 (after 6 hours tonic-clonic movements with repetitive circling)[EMPTY_CELL]
25.6 mg/kg (6400 mg/L of 0.1%) PHMB1055 (2 within 5 minutes, 1 after 1 hour and 2 within 24hours with tonic-clonic convulsions)[EMPTY_CELL]
32 mg/kg (8000 mg/L of 0.1%) PHMB1028 (6 within 6 hours and 2 within 24 hours)[EMPTY_CELL]
40 mg/kg (10000 mg/L of 0.1%) PHMB10NIL10 (all within 1 hour with convulsions, changes in gait and respiratory distress)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Treatment group\", \"bbox\": [3, 26, 65, 36]}, {\"cell\": \"Number of animals\", \"bbox\": [125, 8, 194, 17]}, {\"cell\": \"Number of deaths and clinical manifestations\", \"bbox\": [241, 26, 402, 36]}, {\"cell\": \"% Dead\", \"bbox\": [451, 26, 480, 36]}, {\"cell\": \"Start\", \"bbox\": [132, 26, 151, 36]}, {\"cell\": \"End\", \"bbox\": [170, 26, 185, 36]}, {\"cell\": \"Control - Deionized water\", \"bbox\": [3, 43, 83, 52]}, {\"cell\": \"10\", \"bbox\": [137, 43, 146, 52]}, {\"cell\": \"10\", \"bbox\": [173, 43, 182, 52]}, {\"cell\": \"NIL (normal behavior)\", \"bbox\": [194, 43, 262, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [460, 43, 472, 52]}, {\"cell\": \"2 mg/kg (500 mg/L of 0.1%) PHMB\", \"bbox\": [3, 58, 108, 68]}, {\"cell\": \"10\", \"bbox\": [137, 58, 146, 68]}, {\"cell\": \"10\", \"bbox\": [173, 58, 182, 68]}, {\"cell\": \"NIL (normal movements and 4 with reduced response to stimuli)\", \"bbox\": [194, 58, 391, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [460, 58, 472, 68]}, {\"cell\": \"8 mg/kg (2000 mg/L of 0.1%) PHMB\", \"bbox\": [3, 73, 114, 83]}, {\"cell\": \"10\", \"bbox\": [137, 73, 146, 83]}, {\"cell\": \"8\", \"bbox\": [175, 73, 180, 83]}, {\"cell\": \"2 (after 6 hours tonic-clonic movements with repetitive circling)\", \"bbox\": [194, 73, 388, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 73, 473, 83]}, {\"cell\": \"25.6 mg/kg (6400 mg/L of 0.1%) PHMB\", \"bbox\": [3, 92, 122, 102]}, {\"cell\": \"10\", \"bbox\": [137, 92, 146, 102]}, {\"cell\": \"5\", \"bbox\": [174, 92, 180, 102]}, {\"cell\": \"5 (2 within 5 minutes, 1 after 1 hour and 2 within 24hours with tonic-clonic convulsions)\", \"bbox\": [194, 88, 422, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 92, 473, 102]}, {\"cell\": \"32 mg/kg (8000 mg/L of 0.1%) PHMB\", \"bbox\": [3, 111, 116, 120]}, {\"cell\": \"10\", \"bbox\": [137, 111, 146, 120]}, {\"cell\": \"2\", \"bbox\": [175, 111, 180, 120]}, {\"cell\": \"8 (6 within 6 hours and 2 within 24 hours)\", \"bbox\": [194, 111, 321, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 111, 473, 120]}, {\"cell\": \"40 mg/kg (10000 mg/L of 0.1%) PHMB\", \"bbox\": [3, 126, 120, 136]}, {\"cell\": \"10\", \"bbox\": [137, 126, 146, 136]}, {\"cell\": \"NIL\", \"bbox\": [171, 126, 183, 136]}, {\"cell\": \"10 (all within 1 hour with convulsions, changes in gait and respiratory distress)\", \"bbox\": [194, 126, 432, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [456, 126, 475, 136]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4961918_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
IndicatorsNrp value
[EMPTY_CELL]821[EMPTY_CELL]
[EMPTY_CELL]
[EMPTY_CELL]78−0.586<0.001
[EMPTY_CELL]720.0350.75
[EMPTY_CELL]79−0.0770.48
[EMPTY_CELL]76−0.47<0.001
[EMPTY_CELL]650.64<0.001
[EMPTY_CELL]
[EMPTY_CELL]75−0.65<0.001
[EMPTY_CELL]76−0.78<0.001
[EMPTY_CELL]75−0.424<0.001
[EMPTY_CELL]690.330.002
[EMPTY_CELL]820.72<0.001
[EMPTY_CELL]800.73<0.001
[EMPTY_CELL]56−0.506<0.001
[EMPTY_CELL]66−0.45<0.001
[EMPTY_CELL]79−0.320.003
[EMPTY_CELL]80−0.678<0.001
[EMPTY_CELL]
[EMPTY_CELL]820.2420.027
[EMPTY_CELL]640.190.08
[EMPTY_CELL]800.48<0.001
\", \"cells\": [{\"cell\": \"Indicators\", \"bbox\": [1, 4, 33, 13]}, {\"cell\": \"N\", \"bbox\": [156, 4, 163, 13]}, {\"cell\": \"r\", \"bbox\": [177, 4, 181, 13]}, {\"cell\": \"p value\", \"bbox\": [211, 4, 236, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 17, 129, 36]}, {\"cell\": \"82\", \"bbox\": [156, 17, 166, 27]}, {\"cell\": \"1\", \"bbox\": [177, 17, 183, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 40, 84, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 54, 107, 64]}, {\"cell\": \"78\", \"bbox\": [156, 54, 166, 64]}, {\"cell\": \"−0.586\", \"bbox\": [177, 54, 200, 64]}, {\"cell\": \"<0.001\", \"bbox\": [211, 54, 235, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 68, 75, 78]}, {\"cell\": \"72\", \"bbox\": [156, 68, 166, 78]}, {\"cell\": \"0.035\", \"bbox\": [177, 68, 195, 78]}, {\"cell\": \"0.75\", \"bbox\": [211, 68, 226, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 82, 109, 92]}, {\"cell\": \"79\", \"bbox\": [156, 82, 166, 92]}, {\"cell\": \"−0.077\", \"bbox\": [177, 82, 200, 92]}, {\"cell\": \"0.48\", \"bbox\": [211, 82, 226, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 96, 81, 106]}, {\"cell\": \"76\", \"bbox\": [156, 96, 166, 106]}, {\"cell\": \"−0.47\", \"bbox\": [177, 96, 196, 106]}, {\"cell\": \"<0.001\", \"bbox\": [211, 96, 235, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 110, 68, 120]}, {\"cell\": \"65\", \"bbox\": [156, 110, 166, 120]}, {\"cell\": \"0.64\", \"bbox\": [177, 110, 192, 120]}, {\"cell\": \"<0.001\", \"bbox\": [211, 110, 235, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 124, 117, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 138, 101, 148]}, {\"cell\": \"75\", \"bbox\": [156, 138, 166, 148]}, {\"cell\": \"−0.65\", \"bbox\": [177, 138, 196, 148]}, {\"cell\": \"<0.001\", \"bbox\": [211, 138, 235, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 152, 102, 162]}, {\"cell\": \"76\", \"bbox\": [156, 152, 166, 162]}, {\"cell\": \"−0.78\", \"bbox\": [177, 152, 196, 162]}, {\"cell\": \"<0.001\", \"bbox\": [211, 152, 235, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 166, 120, 176]}, {\"cell\": \"75\", \"bbox\": [156, 166, 166, 176]}, {\"cell\": \"−0.424\", \"bbox\": [177, 166, 200, 176]}, {\"cell\": \"<0.001\", \"bbox\": [211, 166, 235, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 180, 100, 190]}, {\"cell\": \"69\", \"bbox\": [156, 180, 166, 190]}, {\"cell\": \"0.33\", \"bbox\": [177, 180, 192, 190]}, {\"cell\": \"0.002\", \"bbox\": [211, 180, 230, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 194, 96, 204]}, {\"cell\": \"82\", \"bbox\": [156, 194, 166, 204]}, {\"cell\": \"0.72\", \"bbox\": [177, 194, 192, 204]}, {\"cell\": \"<0.001\", \"bbox\": [211, 194, 235, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 208, 92, 218]}, {\"cell\": \"80\", \"bbox\": [156, 208, 166, 218]}, {\"cell\": \"0.73\", \"bbox\": [177, 208, 192, 218]}, {\"cell\": \"<0.001\", \"bbox\": [211, 208, 235, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 222, 131, 232]}, {\"cell\": \"56\", \"bbox\": [156, 222, 166, 232]}, {\"cell\": \"−0.506\", \"bbox\": [177, 222, 200, 232]}, {\"cell\": \"<0.001\", \"bbox\": [211, 222, 235, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 236, 125, 255]}, {\"cell\": \"66\", \"bbox\": [156, 236, 166, 246]}, {\"cell\": \"−0.45\", \"bbox\": [177, 236, 196, 246]}, {\"cell\": \"<0.001\", \"bbox\": [211, 236, 235, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 259, 105, 269]}, {\"cell\": \"79\", \"bbox\": [156, 259, 166, 269]}, {\"cell\": \"−0.32\", \"bbox\": [177, 259, 196, 269]}, {\"cell\": \"0.003\", \"bbox\": [211, 259, 230, 269]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 273, 118, 283]}, {\"cell\": \"80\", \"bbox\": [156, 273, 166, 283]}, {\"cell\": \"−0.678\", \"bbox\": [177, 273, 200, 283]}, {\"cell\": \"<0.001\", \"bbox\": [211, 273, 235, 283]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 287, 106, 297]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 301, 145, 311]}, {\"cell\": \"82\", \"bbox\": [156, 301, 166, 311]}, {\"cell\": \"0.242\", \"bbox\": [177, 301, 195, 311]}, {\"cell\": \"0.027\", \"bbox\": [211, 301, 230, 311]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 315, 113, 325]}, {\"cell\": \"64\", \"bbox\": [156, 315, 166, 325]}, {\"cell\": \"0.19\", \"bbox\": [177, 315, 192, 325]}, {\"cell\": \"0.08\", \"bbox\": [211, 315, 226, 325]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 329, 144, 339]}, {\"cell\": \"80\", \"bbox\": [156, 329, 166, 339]}, {\"cell\": \"0.48\", \"bbox\": [177, 329, 192, 339]}, {\"cell\": \"<0.001\", \"bbox\": [211, 329, 235, 339]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5674830_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Group A (n = 40)(3-h clamp)Group B (n = 40)(4-h clamp)Group C(n = 40)(non-clamp)P value
Hb (g/dl)
Day 29.9 ± 1.8[EMPTY_CELL]9.0 ± 1.30.030
Day 510.2 ± 1.2[EMPTY_CELL]9.6 ± 1.20.067
Estimated blood loss (ml)1050.5 ± 450.6[EMPTY_CELL]1391 ± 554.30.011
Drained blood volume (ml)545.1 ± 186.5[EMPTY_CELL]652.6 ± 211.00.010
Hidden blood loss505.3 ± 469.9[EMPTY_CELL]739.2 ± 557.00.145
RBC transfusion (unit)0.9 ± 0.8[EMPTY_CELL]1.5 ± 1.00.004
ROM at post OP 5 day (degree)92.5 ± 7.8[EMPTY_CELL]90.8 ± 9.8<0.001
VAS
Day 2a5 (3–9)[EMPTY_CELL]5 (3–9)0.022
Day 5a4 (2–9)[EMPTY_CELL]4 (2–6)0.009
Wound complications
Major bruising (n)2[EMPTY_CELL]20.860
Blister (n)1[EMPTY_CELL]10.774
Oozing (n)2[EMPTY_CELL]10.349
Superficial infection (n)0[EMPTY_CELL]00.368
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Group A (n = 40)(3-h clamp)\", \"bbox\": [152, 4, 207, 22]}, {\"cell\": \"Group B (n = 40)(4-h clamp)\", \"bbox\": [255, 4, 310, 22]}, {\"cell\": \"Group C(n = 40)(non-clamp)\", \"bbox\": [358, 4, 411, 22]}, {\"cell\": \"P value\", \"bbox\": [459, 4, 484, 13]}, {\"cell\": \"Hb (g/dl)\", \"bbox\": [1, 26, 31, 36]}, {\"cell\": \" Day 2\", \"bbox\": [8, 40, 29, 50]}, {\"cell\": \"9.9 ± 1.8\", \"bbox\": [152, 40, 180, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 40, 283, 50]}, {\"cell\": \"9.0 ± 1.3\", \"bbox\": [358, 40, 386, 50]}, {\"cell\": \"0.030\", \"bbox\": [459, 40, 478, 50]}, {\"cell\": \" Day 5\", \"bbox\": [8, 54, 29, 64]}, {\"cell\": \"10.2 ± 1.2\", \"bbox\": [152, 54, 183, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 54, 287, 64]}, {\"cell\": \"9.6 ± 1.2\", \"bbox\": [358, 54, 386, 64]}, {\"cell\": \"0.067\", \"bbox\": [459, 54, 478, 64]}, {\"cell\": \"Estimated blood loss (ml)\", \"bbox\": [1, 68, 84, 78]}, {\"cell\": \"1050.5 ± 450.6\", \"bbox\": [152, 68, 199, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 68, 302, 78]}, {\"cell\": \"1391 ± 554.3\", \"bbox\": [358, 68, 400, 78]}, {\"cell\": \"0.011\", \"bbox\": [459, 68, 478, 78]}, {\"cell\": \"Drained blood volume (ml)\", \"bbox\": [1, 82, 90, 92]}, {\"cell\": \"545.1 ± 186.5\", \"bbox\": [152, 82, 195, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 82, 299, 92]}, {\"cell\": \"652.6 ± 211.0\", \"bbox\": [358, 82, 402, 92]}, {\"cell\": \"0.010\", \"bbox\": [459, 82, 478, 92]}, {\"cell\": \"Hidden blood loss\", \"bbox\": [1, 96, 61, 106]}, {\"cell\": \"505.3 ± 469.9\", \"bbox\": [152, 96, 195, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 96, 299, 106]}, {\"cell\": \"739.2 ± 557.0\", \"bbox\": [358, 96, 402, 106]}, {\"cell\": \"0.145\", \"bbox\": [459, 96, 478, 106]}, {\"cell\": \"RBC transfusion (unit)\", \"bbox\": [1, 110, 71, 120]}, {\"cell\": \"0.9 ± 0.8\", \"bbox\": [152, 110, 180, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 110, 283, 120]}, {\"cell\": \"1.5 ± 1.0\", \"bbox\": [358, 110, 386, 120]}, {\"cell\": \"0.004\", \"bbox\": [460, 110, 478, 120]}, {\"cell\": \"ROM at post OP 5 day (degree)\", \"bbox\": [1, 124, 103, 134]}, {\"cell\": \"92.5 ± 7.8\", \"bbox\": [152, 124, 183, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 124, 291, 134]}, {\"cell\": \"90.8 ± 9.8\", \"bbox\": [358, 124, 390, 134]}, {\"cell\": \"<0.001\", \"bbox\": [459, 124, 483, 134]}, {\"cell\": \"VAS\", \"bbox\": [1, 138, 15, 148]}, {\"cell\": \" Day 2a\", \"bbox\": [8, 150, 32, 162]}, {\"cell\": \"5 (3–9)\", \"bbox\": [152, 152, 176, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 152, 279, 162]}, {\"cell\": \"5 (3–9)\", \"bbox\": [358, 152, 382, 162]}, {\"cell\": \"0.022\", \"bbox\": [459, 152, 478, 162]}, {\"cell\": \" Day 5a\", \"bbox\": [8, 164, 32, 176]}, {\"cell\": \"4 (2–9)\", \"bbox\": [152, 166, 176, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 166, 279, 176]}, {\"cell\": \"4 (2–6)\", \"bbox\": [358, 166, 382, 176]}, {\"cell\": \"0.009\", \"bbox\": [459, 166, 478, 176]}, {\"cell\": \"Wound complications\", \"bbox\": [1, 180, 73, 190]}, {\"cell\": \" Major bruising (n)\", \"bbox\": [8, 194, 67, 204]}, {\"cell\": \"2\", \"bbox\": [152, 194, 158, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 194, 261, 204]}, {\"cell\": \"2\", \"bbox\": [358, 194, 364, 204]}, {\"cell\": \"0.860\", \"bbox\": [459, 194, 478, 204]}, {\"cell\": \" Blister (n)\", \"bbox\": [9, 208, 40, 218]}, {\"cell\": \"1\", \"bbox\": [152, 208, 158, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 208, 261, 218]}, {\"cell\": \"1\", \"bbox\": [358, 208, 364, 218]}, {\"cell\": \"0.774\", \"bbox\": [459, 208, 478, 218]}, {\"cell\": \" Oozing (n)\", \"bbox\": [9, 222, 44, 232]}, {\"cell\": \"2\", \"bbox\": [152, 222, 158, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 222, 261, 232]}, {\"cell\": \"1\", \"bbox\": [358, 222, 364, 232]}, {\"cell\": \"0.349\", \"bbox\": [460, 222, 478, 232]}, {\"cell\": \" Superficial infection (n)\", \"bbox\": [9, 236, 84, 246]}, {\"cell\": \"0\", \"bbox\": [152, 236, 158, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 236, 261, 246]}, {\"cell\": \"0\", \"bbox\": [358, 236, 364, 246]}, {\"cell\": \"0.368\", \"bbox\": [460, 236, 478, 246]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5361815_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
≥10% eGFR lossUnivariate analysisEstimates: asymptotic Cox regression multivariate
Variables in the modelpBSEpHR95% CI for Exp (B) (lower–upper)
CD107a/Lamp1URI >30.0331.040.500.0382.831.06[EMPTY_CELL]
eGFR 1 year after transplantation0.001−0.060.020.0010.940.91[EMPTY_CELL]
eGFR at time of evaluation0.3860.030.010.0361.031.00[EMPTY_CELL]
Maintenance treatment: azathioprine0.0440.930.480.0522.530.99[EMPTY_CELL]
Smoking of time of enrollment0.179t−0.050.440.2730.620.26[EMPTY_CELL]
Presence of DSA at time of enrollment0.214−0.550.650.4010.580.16[EMPTY_CELL]
Recipient age at transplant ≥55 years0.157t−0.320.390.4160.730.34[EMPTY_CELL]
Time posttransplant at time of enrollment0.3330.050.110.6401.050.85[EMPTY_CELL]
Number of NK cells at time of enrollment0.192t−0.0010.0020.6881.001.00[EMPTY_CELL]
Donor age at time of transplant0.0490.0040.010.7611.000.98[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"≥10% eGFR loss\", \"bbox\": [1, 7, 59, 15]}, {\"cell\": \"Univariate analysis\", \"bbox\": [139, 6, 204, 15]}, {\"cell\": \"Estimates: asymptotic Cox regression multivariate\", \"bbox\": [273, 6, 443, 15]}, {\"cell\": \"Variables in the model\", \"bbox\": [1, 24, 76, 32]}, {\"cell\": \"p\", \"bbox\": [169, 24, 175, 32]}, {\"cell\": \"B\", \"bbox\": [231, 24, 238, 32]}, {\"cell\": \"SE\", \"bbox\": [273, 24, 284, 32]}, {\"cell\": \"p\", \"bbox\": [318, 24, 324, 32]}, {\"cell\": \"HR\", \"bbox\": [360, 24, 372, 32]}, {\"cell\": \"95% CI for Exp (B) (lower–upper)\", \"bbox\": [392, 24, 502, 32]}, {\"cell\": \"CD107a/Lamp1URI >3\", \"bbox\": [1, 41, 73, 49]}, {\"cell\": \"0.033\", \"bbox\": [162, 41, 181, 49]}, {\"cell\": \"1.04\", \"bbox\": [223, 41, 238, 49]}, {\"cell\": \"0.50\", \"bbox\": [270, 41, 286, 49]}, {\"cell\": \"0.038\", \"bbox\": [311, 41, 330, 49]}, {\"cell\": \"2.83\", \"bbox\": [358, 41, 373, 49]}, {\"cell\": \"1.06\", \"bbox\": [410, 41, 426, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [469, 41, 485, 49]}, {\"cell\": \"eGFR 1 year after transplantation\", \"bbox\": [1, 51, 102, 60]}, {\"cell\": \"0.001\", \"bbox\": [162, 51, 181, 60]}, {\"cell\": \"−0.06\", \"bbox\": [218, 51, 238, 60]}, {\"cell\": \"0.02\", \"bbox\": [270, 51, 286, 60]}, {\"cell\": \"0.001\", \"bbox\": [311, 51, 330, 60]}, {\"cell\": \"0.94\", \"bbox\": [358, 51, 373, 60]}, {\"cell\": \"0.91\", \"bbox\": [410, 51, 426, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [469, 51, 485, 60]}, {\"cell\": \"eGFR at time of evaluation\", \"bbox\": [1, 62, 82, 70]}, {\"cell\": \"0.386\", \"bbox\": [162, 62, 181, 70]}, {\"cell\": \"0.03\", \"bbox\": [223, 62, 238, 70]}, {\"cell\": \"0.01\", \"bbox\": [270, 62, 286, 70]}, {\"cell\": \"0.036\", \"bbox\": [311, 62, 330, 70]}, {\"cell\": \"1.03\", \"bbox\": [358, 62, 373, 70]}, {\"cell\": \"1.00\", \"bbox\": [410, 62, 426, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [469, 62, 485, 70]}, {\"cell\": \"Maintenance treatment: azathioprine\", \"bbox\": [1, 72, 112, 81]}, {\"cell\": \"0.044\", \"bbox\": [162, 72, 181, 81]}, {\"cell\": \"0.93\", \"bbox\": [223, 72, 238, 81]}, {\"cell\": \"0.48\", \"bbox\": [270, 72, 286, 81]}, {\"cell\": \"0.052\", \"bbox\": [311, 72, 330, 81]}, {\"cell\": \"2.53\", \"bbox\": [358, 72, 373, 81]}, {\"cell\": \"0.99\", \"bbox\": [410, 72, 426, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [469, 72, 485, 81]}, {\"cell\": \"Smoking of time of enrollment\", \"bbox\": [1, 83, 92, 91]}, {\"cell\": \"0.179t\", \"bbox\": [161, 83, 182, 91]}, {\"cell\": \"−0.05\", \"bbox\": [218, 83, 238, 91]}, {\"cell\": \"0.44\", \"bbox\": [270, 83, 286, 91]}, {\"cell\": \"0.273\", \"bbox\": [311, 83, 330, 91]}, {\"cell\": \"0.62\", \"bbox\": [358, 83, 373, 91]}, {\"cell\": \"0.26\", \"bbox\": [410, 83, 426, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [469, 83, 485, 91]}, {\"cell\": \"Presence of DSA at time of enrollment\", \"bbox\": [1, 94, 117, 102]}, {\"cell\": \"0.214\", \"bbox\": [162, 94, 181, 102]}, {\"cell\": \"−0.55\", \"bbox\": [218, 94, 238, 102]}, {\"cell\": \"0.65\", \"bbox\": [270, 94, 286, 102]}, {\"cell\": \"0.401\", \"bbox\": [311, 94, 330, 102]}, {\"cell\": \"0.58\", \"bbox\": [358, 94, 373, 102]}, {\"cell\": \"0.16\", \"bbox\": [410, 94, 426, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [469, 94, 485, 102]}, {\"cell\": \"Recipient age at transplant ≥55 years\", \"bbox\": [1, 104, 116, 113]}, {\"cell\": \"0.157t\", \"bbox\": [161, 104, 182, 113]}, {\"cell\": \"−0.32\", \"bbox\": [218, 104, 238, 113]}, {\"cell\": \"0.39\", \"bbox\": [270, 104, 286, 113]}, {\"cell\": \"0.416\", \"bbox\": [311, 104, 330, 113]}, {\"cell\": \"0.73\", \"bbox\": [358, 104, 373, 113]}, {\"cell\": \"0.34\", \"bbox\": [410, 104, 426, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [469, 104, 485, 113]}, {\"cell\": \"Time posttransplant at time of enrollment\", \"bbox\": [1, 115, 126, 124]}, {\"cell\": \"0.333\", \"bbox\": [162, 115, 181, 124]}, {\"cell\": \"0.05\", \"bbox\": [223, 115, 238, 124]}, {\"cell\": \"0.11\", \"bbox\": [270, 115, 286, 124]}, {\"cell\": \"0.640\", \"bbox\": [311, 115, 330, 124]}, {\"cell\": \"1.05\", \"bbox\": [358, 115, 373, 124]}, {\"cell\": \"0.85\", \"bbox\": [410, 115, 426, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [469, 115, 485, 124]}, {\"cell\": \"Number of NK cells at time of enrollment\", \"bbox\": [1, 126, 124, 134]}, {\"cell\": \"0.192t\", \"bbox\": [161, 126, 182, 134]}, {\"cell\": \"−0.001\", \"bbox\": [218, 126, 242, 134]}, {\"cell\": \"0.002\", \"bbox\": [270, 126, 289, 134]}, {\"cell\": \"0.688\", \"bbox\": [311, 126, 330, 134]}, {\"cell\": \"1.00\", \"bbox\": [358, 126, 373, 134]}, {\"cell\": \"1.00\", \"bbox\": [410, 126, 426, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [469, 126, 485, 134]}, {\"cell\": \"Donor age at time of transplant\", \"bbox\": [1, 136, 96, 145]}, {\"cell\": \"0.049\", \"bbox\": [162, 136, 181, 145]}, {\"cell\": \"0.004\", \"bbox\": [223, 136, 242, 145]}, {\"cell\": \"0.01\", \"bbox\": [270, 136, 286, 145]}, {\"cell\": \"0.761\", \"bbox\": [311, 136, 330, 145]}, {\"cell\": \"1.00\", \"bbox\": [358, 136, 373, 145]}, {\"cell\": \"0.98\", \"bbox\": [410, 136, 426, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [469, 136, 485, 145]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4980873_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Average Age(sd)MobilitySelf-careUsual activitiesPain/DiscomfortDepression/Anxiety
HIV+i40.4(8.1)[EMPTY_CELL]4.60%27.94%44.75%51.74%
HIV-asymptomatic39.5 (7.8)[EMPTY_CELL]4.69%23.44%42.19%49.41%
HIV-symptomatic40.6 (8.1)[EMPTY_CELL]5.07%28.26%41.61%46.76%
AIDS41.8 (8.7)[EMPTY_CELL]4.03%35.33%52.00%60.26%
Alzheimer diseaseii75.5 (8.5)[EMPTY_CELL]84.49%95.10%68.57%73.47%
AD mild73.7 (7.1)[EMPTY_CELL]63.27%93.88%65.31%81.63%
AD medium75.4 (8.6)[EMPTY_CELL]90.11%95.60%68.13%73.63%
AD severe76.6 (9.3)[EMPTY_CELL]96.91%98.97%71.13%69.07%
Strokeiii66.9 (12.2)[EMPTY_CELL]48.39%64.24%71.00%65.90%
Stroke survivor first year67.2 (11.6)[EMPTY_CELL]46.24%64.89%68.13%64.13%
Stroke survivor second year67.1 (12.5)[EMPTY_CELL]49.49%64.88%72.64%66.33%
Stroke survivor three or more years66.4 (12.1)[EMPTY_CELL]48.28%6.45%70.55%66.43%
Diabetes Mellitusiv63.8 (13.8)[EMPTY_CELL]15.70%35.64%62.98%43.06%
Rheumatism; arthritis; degenerative osteoarthritisiv62.4 (14.9)[EMPTY_CELL]14.26%33.24%71.65%46.25%
Back painiv53.8 (17.3)[EMPTY_CELL]10.49%26.17%61.22%43.11%
Heart problemsiv66.1 (16.3)[EMPTY_CELL]20.65%38.94%62.83%46.45%
Osteoporosisiv66.3 (12.2)[EMPTY_CELL]19.70%37.44%75.62%55.28%
Anxiety/depression4v53.2 (17.3)[EMPTY_CELL]10.62%28.39%64.56%70.98%
Respiratory Tract Diseasesiv54.8 (19.7)[EMPTY_CELL]9.81%31.31%58.21%38.86%
Digestive diseasesiv52.0 (17.7)[EMPTY_CELL]8.40%23.62%58.93%43.69%
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Average Age(sd)\", \"bbox\": [188, 4, 235, 22]}, {\"cell\": \"Mobility\", \"bbox\": [245, 4, 275, 13]}, {\"cell\": \"Self-care\", \"bbox\": [286, 4, 303, 22]}, {\"cell\": \"Usual activities\", \"bbox\": [325, 4, 357, 22]}, {\"cell\": \"Pain/Discomfort\", \"bbox\": [372, 4, 412, 22]}, {\"cell\": \"Depression/Anxiety\", \"bbox\": [428, 4, 472, 22]}, {\"cell\": \"HIV+i\", \"bbox\": [0, 25, 21, 36]}, {\"cell\": \"40.4(8.1)\", \"bbox\": [196, 26, 227, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [246, 26, 274, 36]}, {\"cell\": \"4.60%\", \"bbox\": [283, 26, 306, 36]}, {\"cell\": \"27.94%\", \"bbox\": [327, 26, 355, 36]}, {\"cell\": \"44.75%\", \"bbox\": [378, 26, 405, 36]}, {\"cell\": \"51.74%\", \"bbox\": [436, 26, 464, 36]}, {\"cell\": \" HIV-asymptomatic\", \"bbox\": [15, 39, 75, 49]}, {\"cell\": \"39.5 (7.8)\", \"bbox\": [196, 39, 227, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [248, 39, 272, 49]}, {\"cell\": \"4.69%\", \"bbox\": [284, 39, 305, 49]}, {\"cell\": \"23.44%\", \"bbox\": [329, 39, 353, 49]}, {\"cell\": \"42.19%\", \"bbox\": [380, 39, 404, 49]}, {\"cell\": \"49.41%\", \"bbox\": [438, 39, 462, 49]}, {\"cell\": \" HIV-symptomatic\", \"bbox\": [15, 53, 72, 62]}, {\"cell\": \"40.6 (8.1)\", \"bbox\": [196, 53, 227, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [248, 53, 272, 62]}, {\"cell\": \"5.07%\", \"bbox\": [284, 53, 305, 62]}, {\"cell\": \"28.26%\", \"bbox\": [329, 53, 353, 62]}, {\"cell\": \"41.61%\", \"bbox\": [380, 53, 404, 62]}, {\"cell\": \"46.76%\", \"bbox\": [438, 53, 462, 62]}, {\"cell\": \" AIDS\", \"bbox\": [15, 66, 33, 75]}, {\"cell\": \"41.8 (8.7)\", \"bbox\": [196, 66, 227, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [248, 66, 272, 75]}, {\"cell\": \"4.03%\", \"bbox\": [284, 66, 305, 75]}, {\"cell\": \"35.33%\", \"bbox\": [329, 66, 353, 75]}, {\"cell\": \"52.00%\", \"bbox\": [380, 66, 404, 75]}, {\"cell\": \"60.26%\", \"bbox\": [438, 66, 462, 75]}, {\"cell\": \"Alzheimer diseaseii\", \"bbox\": [1, 77, 68, 88]}, {\"cell\": \"75.5 (8.5)\", \"bbox\": [194, 79, 228, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [246, 79, 274, 88]}, {\"cell\": \"84.49%\", \"bbox\": [281, 79, 309, 88]}, {\"cell\": \"95.10%\", \"bbox\": [327, 79, 355, 88]}, {\"cell\": \"68.57%\", \"bbox\": [378, 79, 405, 88]}, {\"cell\": \"73.47%\", \"bbox\": [436, 79, 464, 88]}, {\"cell\": \" AD mild\", \"bbox\": [15, 92, 44, 102]}, {\"cell\": \"73.7 (7.1)\", \"bbox\": [196, 92, 227, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [248, 92, 272, 102]}, {\"cell\": \"63.27%\", \"bbox\": [283, 92, 307, 102]}, {\"cell\": \"93.88%\", \"bbox\": [329, 92, 353, 102]}, {\"cell\": \"65.31%\", \"bbox\": [380, 92, 404, 102]}, {\"cell\": \"81.63%\", \"bbox\": [438, 92, 462, 102]}, {\"cell\": \" AD medium\", \"bbox\": [15, 105, 57, 115]}, {\"cell\": \"75.4 (8.6)\", \"bbox\": [196, 105, 227, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [248, 105, 272, 115]}, {\"cell\": \"90.11%\", \"bbox\": [283, 105, 307, 115]}, {\"cell\": \"95.60%\", \"bbox\": [329, 105, 353, 115]}, {\"cell\": \"68.13%\", \"bbox\": [380, 105, 404, 115]}, {\"cell\": \"73.63%\", \"bbox\": [438, 105, 462, 115]}, {\"cell\": \" AD severe\", \"bbox\": [15, 119, 50, 128]}, {\"cell\": \"76.6 (9.3)\", \"bbox\": [196, 119, 227, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [248, 119, 272, 128]}, {\"cell\": \"96.91%\", \"bbox\": [283, 119, 307, 128]}, {\"cell\": \"98.97%\", \"bbox\": [329, 119, 353, 128]}, {\"cell\": \"71.13%\", \"bbox\": [380, 119, 404, 128]}, {\"cell\": \"69.07%\", \"bbox\": [438, 119, 462, 128]}, {\"cell\": \"Strokeiii\", \"bbox\": [0, 130, 29, 141]}, {\"cell\": \"66.9 (12.2)\", \"bbox\": [192, 132, 231, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [246, 132, 274, 141]}, {\"cell\": \"48.39%\", \"bbox\": [281, 132, 309, 141]}, {\"cell\": \"64.24%\", \"bbox\": [327, 132, 355, 141]}, {\"cell\": \"71.00%\", \"bbox\": [378, 132, 405, 141]}, {\"cell\": \"65.90%\", \"bbox\": [436, 132, 464, 141]}, {\"cell\": \" Stroke survivor first year\", \"bbox\": [15, 145, 94, 154]}, {\"cell\": \"67.2 (11.6)\", \"bbox\": [194, 145, 229, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [248, 145, 272, 154]}, {\"cell\": \"46.24%\", \"bbox\": [283, 145, 307, 154]}, {\"cell\": \"64.89%\", \"bbox\": [329, 145, 353, 154]}, {\"cell\": \"68.13%\", \"bbox\": [380, 145, 404, 154]}, {\"cell\": \"64.13%\", \"bbox\": [438, 145, 462, 154]}, {\"cell\": \" Stroke survivor second year\", \"bbox\": [15, 158, 106, 168]}, {\"cell\": \"67.1 (12.5)\", \"bbox\": [194, 158, 229, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [248, 158, 272, 168]}, {\"cell\": \"49.49%\", \"bbox\": [283, 158, 307, 168]}, {\"cell\": \"64.88%\", \"bbox\": [329, 158, 353, 168]}, {\"cell\": \"72.64%\", \"bbox\": [380, 158, 404, 168]}, {\"cell\": \"66.33%\", \"bbox\": [438, 158, 462, 168]}, {\"cell\": \" Stroke survivor three or more years\", \"bbox\": [15, 171, 131, 181]}, {\"cell\": \"66.4 (12.1)\", \"bbox\": [194, 171, 229, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [248, 171, 272, 181]}, {\"cell\": \"48.28%\", \"bbox\": [283, 171, 307, 181]}, {\"cell\": \"6.45%\", \"bbox\": [331, 171, 351, 181]}, {\"cell\": \"70.55%\", \"bbox\": [380, 171, 404, 181]}, {\"cell\": \"66.43%\", \"bbox\": [438, 171, 462, 181]}, {\"cell\": \"Diabetes Mellitusiv\", \"bbox\": [1, 183, 67, 194]}, {\"cell\": \"63.8 (13.8)\", \"bbox\": [192, 185, 231, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [246, 185, 274, 194]}, {\"cell\": \"15.70%\", \"bbox\": [281, 185, 309, 194]}, {\"cell\": \"35.64%\", \"bbox\": [327, 185, 355, 194]}, {\"cell\": \"62.98%\", \"bbox\": [378, 185, 405, 194]}, {\"cell\": \"43.06%\", \"bbox\": [436, 185, 464, 194]}, {\"cell\": \"Rheumatism; arthritis; degenerative osteoarthritisiv\", \"bbox\": [1, 198, 127, 216]}, {\"cell\": \"62.4 (14.9)\", \"bbox\": [192, 198, 231, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [246, 198, 274, 207]}, {\"cell\": \"14.26%\", \"bbox\": [281, 198, 309, 207]}, {\"cell\": \"33.24%\", \"bbox\": [327, 198, 355, 207]}, {\"cell\": \"71.65%\", \"bbox\": [378, 198, 405, 207]}, {\"cell\": \"46.25%\", \"bbox\": [436, 198, 464, 207]}, {\"cell\": \"Back painiv\", \"bbox\": [1, 218, 41, 229]}, {\"cell\": \"53.8 (17.3)\", \"bbox\": [192, 220, 231, 229]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [246, 220, 274, 229]}, {\"cell\": \"10.49%\", \"bbox\": [281, 220, 309, 229]}, {\"cell\": \"26.17%\", \"bbox\": [327, 220, 355, 229]}, {\"cell\": \"61.22%\", \"bbox\": [378, 220, 405, 229]}, {\"cell\": \"43.11%\", \"bbox\": [436, 220, 464, 229]}, {\"cell\": \"Heart problemsiv\", \"bbox\": [1, 231, 61, 243]}, {\"cell\": \"66.1 (16.3)\", \"bbox\": [192, 233, 231, 243]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [246, 233, 274, 243]}, {\"cell\": \"20.65%\", \"bbox\": [281, 233, 309, 243]}, {\"cell\": \"38.94%\", \"bbox\": [327, 233, 355, 243]}, {\"cell\": \"62.83%\", \"bbox\": [378, 233, 405, 243]}, {\"cell\": \"46.45%\", \"bbox\": [436, 233, 464, 243]}, {\"cell\": \"Osteoporosisiv\", \"bbox\": [1, 245, 52, 256]}, {\"cell\": \"66.3 (12.2)\", \"bbox\": [192, 246, 231, 256]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [246, 246, 274, 256]}, {\"cell\": \"19.70%\", \"bbox\": [281, 246, 309, 256]}, {\"cell\": \"37.44%\", \"bbox\": [327, 246, 355, 256]}, {\"cell\": \"75.62%\", \"bbox\": [378, 246, 405, 256]}, {\"cell\": \"55.28%\", \"bbox\": [436, 246, 464, 256]}, {\"cell\": \"Anxiety/depression4v\", \"bbox\": [1, 258, 75, 269]}, {\"cell\": \"53.2 (17.3)\", \"bbox\": [192, 260, 231, 269]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [246, 260, 274, 269]}, {\"cell\": \"10.62%\", \"bbox\": [281, 260, 309, 269]}, {\"cell\": \"28.39%\", \"bbox\": [327, 260, 355, 269]}, {\"cell\": \"64.56%\", \"bbox\": [378, 260, 405, 269]}, {\"cell\": \"70.98%\", \"bbox\": [436, 260, 464, 269]}, {\"cell\": \"Respiratory Tract Diseasesiv\", \"bbox\": [1, 271, 98, 282]}, {\"cell\": \"54.8 (19.7)\", \"bbox\": [192, 273, 231, 282]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [246, 273, 274, 282]}, {\"cell\": \"9.81%\", \"bbox\": [283, 273, 306, 282]}, {\"cell\": \"31.31%\", \"bbox\": [327, 273, 355, 282]}, {\"cell\": \"58.21%\", \"bbox\": [378, 273, 405, 282]}, {\"cell\": \"38.86%\", \"bbox\": [436, 273, 464, 282]}, {\"cell\": \"Digestive diseasesiv\", \"bbox\": [1, 284, 70, 295]}, {\"cell\": \"52.0 (17.7)\", \"bbox\": [192, 286, 231, 295]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [246, 286, 274, 295]}, {\"cell\": \"8.40%\", \"bbox\": [283, 286, 306, 295]}, {\"cell\": \"23.62%\", \"bbox\": [327, 286, 355, 295]}, {\"cell\": \"58.93%\", \"bbox\": [378, 286, 405, 295]}, {\"cell\": \"43.69%\", \"bbox\": [436, 286, 464, 295]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3091580_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
GeneCG nameFunction of encoded proteinHuman Ortholog
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]CG16724RNA splicing—
[EMPTY_CELL]CG43770RNA splicing—
[EMPTY_CELL]CG3496RNA splicingKIAA1429
[EMPTY_CELL]CG8781RNA splicingRBM8A
[EMPTY_CELL]CG6502Histone methylationEZH1/EZH2
[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]CG10325Homeobox transcription factor—
[EMPTY_CELL]CG10034Maf transcription factorMAF
[EMPTY_CELL]CG1429Transcription factorMEF2D
[EMPTY_CELL]CG8573Transcription factor and Insulator bindingZNF726
[EMPTY_CELL]CG12238Component of ATP-dependent chromatin remodeling complexesPHF10/BAF45A
[EMPTY_CELL]CG6474Component of the Transcription factor II D complexTAF9B
[EMPTY_CELL]
[EMPTY_CELL]CG6637Component of endosomal sorting complexSNF8
[EMPTY_CELL]CG14750Component of endosomal sorting complexVPS25
[EMPTY_CELL]
[EMPTY_CELL]CG9375Small GTPaseRAS
[EMPTY_CELL]CG9635Rho-type guanine nucleotide exchange factorPDZ-RHOGEF
[EMPTY_CELL]
[EMPTY_CELL]CG9739Wnt protein bindingFZD1-10
[EMPTY_CELL]CG4698Wnt receptor signalingWNT4
[EMPTY_CELL]
[EMPTY_CELL]CG14884Component of COP9 signalosomesCOPS5
[EMPTY_CELL]CG12165Component of chromosome passenger complexINCENP
[EMPTY_CELL]CG11495Acyltransferase enzyme-
\", \"cells\": [{\"cell\": \"Gene\", \"bbox\": [7, 4, 29, 15]}, {\"cell\": \"CG name\", \"bbox\": [83, 4, 119, 15]}, {\"cell\": \"Function of encoded protein\", \"bbox\": [226, 4, 330, 15]}, {\"cell\": \"Human Ortholog\", \"bbox\": [434, 4, 496, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 18, 81, 28]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 28, 12, 38]}, {\"cell\": \"CG16724\", \"bbox\": [79, 28, 115, 38]}, {\"cell\": \"RNA splicing\", \"bbox\": [161, 28, 209, 38]}, {\"cell\": \"—\", \"bbox\": [434, 32, 444, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 38, 12, 48]}, {\"cell\": \"CG43770\", \"bbox\": [79, 38, 115, 48]}, {\"cell\": \"RNA splicing\", \"bbox\": [161, 38, 209, 48]}, {\"cell\": \"—\", \"bbox\": [434, 42, 444, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 47, 11, 58]}, {\"cell\": \"CG3496\", \"bbox\": [79, 47, 111, 58]}, {\"cell\": \"RNA splicing\", \"bbox\": [161, 47, 209, 58]}, {\"cell\": \"KIAA1429\", \"bbox\": [434, 47, 471, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 57, 13, 68]}, {\"cell\": \"CG8781\", \"bbox\": [79, 57, 111, 68]}, {\"cell\": \"RNA splicing\", \"bbox\": [161, 57, 209, 68]}, {\"cell\": \"RBM8A\", \"bbox\": [434, 57, 462, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 67, 14, 78]}, {\"cell\": \"CG6502\", \"bbox\": [79, 67, 111, 78]}, {\"cell\": \"Histone methylation\", \"bbox\": [161, 67, 234, 78]}, {\"cell\": \"EZH1/EZH2\", \"bbox\": [434, 67, 477, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 77, 119, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 87, 24, 98]}, {\"cell\": \"CG10325\", \"bbox\": [79, 87, 115, 98]}, {\"cell\": \"Homeobox transcription factor\", \"bbox\": [161, 87, 271, 98]}, {\"cell\": \"—\", \"bbox\": [434, 91, 444, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 97, 7, 108]}, {\"cell\": \"CG10034\", \"bbox\": [79, 97, 115, 108]}, {\"cell\": \"Maf transcription factor\", \"bbox\": [161, 97, 245, 108]}, {\"cell\": \"MAF\", \"bbox\": [434, 97, 453, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 107, 20, 118]}, {\"cell\": \"CG1429\", \"bbox\": [79, 107, 111, 118]}, {\"cell\": \"Transcription factor\", \"bbox\": [161, 107, 231, 118]}, {\"cell\": \"MEF2D\", \"bbox\": [434, 107, 462, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 117, 27, 128]}, {\"cell\": \"CG8573\", \"bbox\": [79, 117, 111, 128]}, {\"cell\": \"Transcription factor and Insulator binding\", \"bbox\": [161, 117, 309, 128]}, {\"cell\": \"ZNF726\", \"bbox\": [434, 117, 464, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 127, 19, 138]}, {\"cell\": \"CG12238\", \"bbox\": [79, 127, 115, 138]}, {\"cell\": \"Component of ATP-dependent chromatin remodeling complexes\", \"bbox\": [161, 127, 395, 138]}, {\"cell\": \"PHF10/BAF45A\", \"bbox\": [434, 127, 491, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 137, 19, 148]}, {\"cell\": \"CG6474\", \"bbox\": [79, 137, 111, 148]}, {\"cell\": \"Component of the Transcription factor II D complex\", \"bbox\": [161, 137, 347, 148]}, {\"cell\": \"TAF9B\", \"bbox\": [434, 137, 459, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 147, 105, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 157, 12, 168]}, {\"cell\": \"CG6637\", \"bbox\": [79, 157, 111, 168]}, {\"cell\": \"Component of endosomal sorting complex\", \"bbox\": [161, 157, 316, 168]}, {\"cell\": \"SNF8\", \"bbox\": [434, 157, 455, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 167, 23, 177]}, {\"cell\": \"CG14750\", \"bbox\": [79, 167, 115, 177]}, {\"cell\": \"Component of endosomal sorting complex\", \"bbox\": [161, 167, 316, 177]}, {\"cell\": \"VPS25\", \"bbox\": [434, 167, 458, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 177, 205, 187]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 187, 27, 197]}, {\"cell\": \"CG9375\", \"bbox\": [79, 187, 111, 197]}, {\"cell\": \"Small GTPase\", \"bbox\": [161, 187, 212, 197]}, {\"cell\": \"RAS\", \"bbox\": [434, 187, 450, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 197, 34, 207]}, {\"cell\": \"CG9635\", \"bbox\": [79, 197, 111, 207]}, {\"cell\": \"Rho-type guanine nucleotide exchange factor\", \"bbox\": [161, 197, 325, 207]}, {\"cell\": \"PDZ-RHOGEF\", \"bbox\": [434, 197, 485, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 207, 101, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 217, 13, 227]}, {\"cell\": \"CG9739\", \"bbox\": [79, 217, 111, 227]}, {\"cell\": \"Wnt protein binding\", \"bbox\": [161, 217, 235, 227]}, {\"cell\": \"FZD1-10\", \"bbox\": [434, 217, 466, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 227, 20, 237]}, {\"cell\": \"CG4698\", \"bbox\": [79, 227, 111, 237]}, {\"cell\": \"Wnt receptor signaling\", \"bbox\": [161, 227, 244, 237]}, {\"cell\": \"WNT4\", \"bbox\": [434, 227, 458, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 237, 28, 247]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 247, 23, 257]}, {\"cell\": \"CG14884\", \"bbox\": [79, 247, 115, 257]}, {\"cell\": \"Component of COP9 signalosomes\", \"bbox\": [161, 247, 289, 257]}, {\"cell\": \"COPS5\", \"bbox\": [434, 247, 461, 257]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 257, 26, 267]}, {\"cell\": \"CG12165\", \"bbox\": [79, 257, 115, 267]}, {\"cell\": \"Component of chromosome passenger complex\", \"bbox\": [161, 257, 335, 267]}, {\"cell\": \"INCENP\", \"bbox\": [434, 257, 465, 267]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 267, 17, 277]}, {\"cell\": \"CG11495\", \"bbox\": [79, 267, 115, 277]}, {\"cell\": \"Acyltransferase enzyme\", \"bbox\": [161, 267, 246, 277]}, {\"cell\": \"-\", \"bbox\": [434, 267, 438, 277]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC6027894_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
NameGeneBank Accession NumbercDNA Length (bp)UTRTotal ScoreCoverage %Identity %
5′ bp3′ bp
Arabian Camel(Camelus dromedarius)HQ214118[EMPTY_CELL]1363492529100100
Human(Homo sapiens)NM_002155[EMPTY_CELL]41331925238189
Sumatran orangutan(Pongo abelii)XM_002809884[EMPTY_CELL]13333425298189
Horse(Equus caballus)XM_001488139[EMPTY_CELL]1306226828689
Cow(Bos Taurus)XM_589747[EMPTY_CELL]1938529158891
Pig(Sus scrofa)NM_001123127[EMPTY_CELL]10548130259391
Mouse(Mus musculus)M32218[EMPTY_CELL]17337115187577
Dog(Canis lupus familiaris)NM_001003067[EMPTY_CELL]8628419067980
Giant panda(Ailuropoda melanoleuca)XM_002931069[EMPTY_CELL]12130914807981
\", \"cells\": [{\"cell\": \"Name\", \"bbox\": [46, 13, 73, 26]}, {\"cell\": \"GeneBank Accession Number\", \"bbox\": [120, 5, 202, 34]}, {\"cell\": \"cDNA Length (bp)\", \"bbox\": [210, 5, 263, 34]}, {\"cell\": \"UTR\", \"bbox\": [290, 5, 313, 18]}, {\"cell\": \"Total Score\", \"bbox\": [342, 5, 368, 34]}, {\"cell\": \"Coverage %\", \"bbox\": [378, 5, 421, 34]}, {\"cell\": \"Identity %\", \"bbox\": [432, 5, 468, 34]}, {\"cell\": \"5′ bp\", \"bbox\": [273, 21, 297, 34]}, {\"cell\": \"3′ bp\", \"bbox\": [309, 21, 332, 34]}, {\"cell\": \"Arabian Camel(Camelus dromedarius)\", \"bbox\": [11, 37, 108, 66]}, {\"cell\": \"HQ214118\", \"bbox\": [138, 45, 185, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [225, 45, 247, 58]}, {\"cell\": \"136\", \"bbox\": [276, 45, 293, 58]}, {\"cell\": \"349\", \"bbox\": [312, 45, 329, 58]}, {\"cell\": \"2529\", \"bbox\": [344, 45, 366, 58]}, {\"cell\": \"100\", \"bbox\": [391, 45, 408, 58]}, {\"cell\": \"100\", \"bbox\": [442, 45, 459, 58]}, {\"cell\": \"Human(Homo sapiens)\", \"bbox\": [26, 69, 92, 97]}, {\"cell\": \"NM_002155\", \"bbox\": [135, 77, 188, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [225, 77, 247, 90]}, {\"cell\": \"413\", \"bbox\": [276, 77, 293, 90]}, {\"cell\": \"319\", \"bbox\": [312, 77, 329, 90]}, {\"cell\": \"2523\", \"bbox\": [344, 77, 366, 90]}, {\"cell\": \"81\", \"bbox\": [393, 77, 405, 90]}, {\"cell\": \"89\", \"bbox\": [444, 77, 456, 90]}, {\"cell\": \"Sumatran orangutan(Pongo abelii)\", \"bbox\": [13, 100, 105, 129]}, {\"cell\": \"XM_002809884\", \"bbox\": [127, 108, 195, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [225, 108, 247, 121]}, {\"cell\": \"133\", \"bbox\": [276, 108, 293, 121]}, {\"cell\": \"334\", \"bbox\": [312, 108, 329, 121]}, {\"cell\": \"2529\", \"bbox\": [344, 108, 366, 121]}, {\"cell\": \"81\", \"bbox\": [393, 108, 405, 121]}, {\"cell\": \"89\", \"bbox\": [444, 108, 456, 121]}, {\"cell\": \"Horse(Equus caballus)\", \"bbox\": [24, 132, 94, 160]}, {\"cell\": \"XM_001488139\", \"bbox\": [127, 139, 195, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [225, 139, 247, 153]}, {\"cell\": \"130\", \"bbox\": [276, 139, 293, 153]}, {\"cell\": \"62\", \"bbox\": [314, 139, 326, 153]}, {\"cell\": \"2682\", \"bbox\": [344, 139, 366, 153]}, {\"cell\": \"86\", \"bbox\": [393, 139, 405, 153]}, {\"cell\": \"89\", \"bbox\": [444, 139, 456, 153]}, {\"cell\": \"Cow(Bos Taurus)\", \"bbox\": [32, 163, 86, 191]}, {\"cell\": \"XM_589747\", \"bbox\": [135, 171, 188, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [225, 171, 247, 184]}, {\"cell\": \"193\", \"bbox\": [276, 171, 293, 184]}, {\"cell\": \"85\", \"bbox\": [314, 171, 326, 184]}, {\"cell\": \"2915\", \"bbox\": [344, 171, 366, 184]}, {\"cell\": \"88\", \"bbox\": [393, 171, 405, 184]}, {\"cell\": \"91\", \"bbox\": [444, 171, 456, 184]}, {\"cell\": \"Pig(Sus scrofa)\", \"bbox\": [34, 194, 84, 223]}, {\"cell\": \"NM_001123127\", \"bbox\": [127, 202, 195, 215]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [225, 202, 247, 215]}, {\"cell\": \"105\", \"bbox\": [276, 202, 293, 215]}, {\"cell\": \"481\", \"bbox\": [312, 202, 329, 215]}, {\"cell\": \"3025\", \"bbox\": [344, 202, 366, 215]}, {\"cell\": \"93\", \"bbox\": [393, 202, 405, 215]}, {\"cell\": \"91\", \"bbox\": [444, 202, 456, 215]}, {\"cell\": \"Mouse(Mus musculus)\", \"bbox\": [26, 226, 92, 254]}, {\"cell\": \"M32218\", \"bbox\": [143, 234, 179, 247]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [225, 234, 247, 247]}, {\"cell\": \"173\", \"bbox\": [276, 234, 293, 247]}, {\"cell\": \"371\", \"bbox\": [312, 234, 329, 247]}, {\"cell\": \"1518\", \"bbox\": [344, 234, 366, 247]}, {\"cell\": \"75\", \"bbox\": [393, 234, 405, 247]}, {\"cell\": \"77\", \"bbox\": [444, 234, 456, 247]}, {\"cell\": \"Dog(Canis lupus familiaris)\", \"bbox\": [10, 257, 108, 286]}, {\"cell\": \"NM_001003067\", \"bbox\": [127, 265, 195, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [225, 265, 247, 278]}, {\"cell\": \"86\", \"bbox\": [279, 265, 291, 278]}, {\"cell\": \"284\", \"bbox\": [312, 265, 329, 278]}, {\"cell\": \"1906\", \"bbox\": [344, 265, 366, 278]}, {\"cell\": \"79\", \"bbox\": [393, 265, 405, 278]}, {\"cell\": \"80\", \"bbox\": [444, 265, 456, 278]}, {\"cell\": \"Giant panda(Ailuropoda melanoleuca)\", \"bbox\": [5, 289, 113, 317]}, {\"cell\": \"XM_002931069\", \"bbox\": [127, 296, 195, 310]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [225, 296, 247, 310]}, {\"cell\": \"121\", \"bbox\": [276, 296, 293, 310]}, {\"cell\": \"309\", \"bbox\": [312, 296, 329, 310]}, {\"cell\": \"1480\", \"bbox\": [344, 296, 366, 310]}, {\"cell\": \"79\", \"bbox\": [393, 296, 405, 310]}, {\"cell\": \"81\", \"bbox\": [444, 296, 456, 310]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3155347_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
DioxinsDioxin-like PCBs
[EMPTY_CELL]non-ortho-PCBs
[EMPTY_CELL]TeCB-77
[EMPTY_CELL]TeCB-81
[EMPTY_CELL]PeCB-126
[EMPTY_CELL]HxCB-169
[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]mono-ortho-PCBs
[EMPTY_CELL]PeCB-105
[EMPTY_CELL]PeCB-114
[EMPTY_CELL]PeCB-118
[EMPTY_CELL]PeCB-123
[EMPTY_CELL]HxCB-156
[EMPTY_CELL]HxCB-157
[EMPTY_CELL]HxCB-167
[EMPTY_CELL]HpCB-189
[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Dioxins\", \"bbox\": [7, 6, 44, 16]}, {\"cell\": \"Dioxin-like PCBs\", \"bbox\": [203, 6, 286, 16]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 26, 178, 38]}, {\"cell\": \"non-ortho-PCBs\", \"bbox\": [203, 26, 278, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 41, 72, 53]}, {\"cell\": \"TeCB-77\", \"bbox\": [203, 41, 246, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 56, 85, 68]}, {\"cell\": \"TeCB-81\", \"bbox\": [203, 56, 246, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 71, 96, 83]}, {\"cell\": \"PeCB-126\", \"bbox\": [203, 71, 251, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 86, 96, 98]}, {\"cell\": \"HxCB-169\", \"bbox\": [203, 86, 254, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 101, 96, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 116, 104, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 131, 40, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 146, 161, 158]}, {\"cell\": \"mono-ortho-PCBs\", \"bbox\": [203, 146, 287, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 161, 71, 173]}, {\"cell\": \"PeCB-105\", \"bbox\": [203, 161, 251, 173]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 176, 83, 188]}, {\"cell\": \"PeCB-114\", \"bbox\": [203, 176, 251, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 191, 83, 203]}, {\"cell\": \"PeCB-118\", \"bbox\": [203, 191, 251, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 206, 94, 218]}, {\"cell\": \"PeCB-123\", \"bbox\": [203, 206, 251, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 221, 94, 233]}, {\"cell\": \"HxCB-156\", \"bbox\": [203, 221, 254, 233]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 236, 94, 248]}, {\"cell\": \"HxCB-157\", \"bbox\": [203, 236, 254, 248]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 251, 94, 263]}, {\"cell\": \"HxCB-167\", \"bbox\": [203, 251, 254, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 266, 102, 278]}, {\"cell\": \"HpCB-189\", \"bbox\": [203, 266, 254, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 281, 102, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 296, 38, 308]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3863880_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
TraitNormal growthDrought stressRelative value b
ZS97IRAT109ZS97IRAT109ZS97IRAT109
PH[EMPTY_CELL]103.95 ± 7.58 **a80.81 ± 6.6395.33 ± 6.63 **0.9260.917
GY[EMPTY_CELL]38.45 ± 7.1119.83 ± 7.425.55 ± 10.14 **0.4750.662
TPP[EMPTY_CELL]24.85 ± 2.1323.84 ± 8.12 **13.13 ± 5.940.7530.526
SPP[EMPTY_CELL]114.18 ± 24.94 **75.44 ± 12.57 **72.14 ± 16.510.8080.631
SF[EMPTY_CELL]0.67 ± 0.080.47 ± 0.100.46 ± 0.200.5160.687
KGW[EMPTY_CELL]32.28 ± 2.14 **19.69 ± 2.2731.26 ± 3.84 **0.8380.969
RV[EMPTY_CELL]60.51 ± 10.27 **20.82 ± 8.4331.56 ± 9.15 **0.5680.522
RVT[EMPTY_CELL]2.43 ± 0.57 **0.86 ± 0.272.38 ± 0.50 **0.7410.979
\", \"cells\": [{\"cell\": \"Trait\", \"bbox\": [12, 14, 36, 25]}, {\"cell\": \"Normal growth\", \"bbox\": [98, 7, 166, 18]}, {\"cell\": \"Drought stress\", \"bbox\": [270, 7, 335, 18]}, {\"cell\": \"Relative value b\", \"bbox\": [403, 5, 471, 18]}, {\"cell\": \"ZS97\", \"bbox\": [75, 22, 99, 33]}, {\"cell\": \"IRAT109\", \"bbox\": [152, 22, 194, 33]}, {\"cell\": \"ZS97\", \"bbox\": [248, 22, 272, 33]}, {\"cell\": \"IRAT109\", \"bbox\": [323, 22, 365, 33]}, {\"cell\": \"ZS97\", \"bbox\": [395, 22, 419, 33]}, {\"cell\": \"IRAT109\", \"bbox\": [437, 22, 479, 33]}, {\"cell\": \"PH\", \"bbox\": [16, 38, 31, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [61, 38, 113, 49]}, {\"cell\": \"103.95 ± 7.58 **a\", \"bbox\": [136, 36, 211, 49]}, {\"cell\": \"80.81 ± 6.63\", \"bbox\": [234, 38, 286, 49]}, {\"cell\": \"95.33 ± 6.63 **\", \"bbox\": [312, 38, 377, 49]}, {\"cell\": \"0.926\", \"bbox\": [395, 38, 419, 49]}, {\"cell\": \"0.917\", \"bbox\": [446, 38, 470, 49]}, {\"cell\": \"GY\", \"bbox\": [16, 53, 32, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [57, 53, 117, 64]}, {\"cell\": \"38.45 ± 7.11\", \"bbox\": [147, 53, 199, 64]}, {\"cell\": \"19.83 ± 7.4\", \"bbox\": [236, 53, 284, 64]}, {\"cell\": \"25.55 ± 10.14 **\", \"bbox\": [309, 53, 379, 64]}, {\"cell\": \"0.475\", \"bbox\": [395, 53, 419, 64]}, {\"cell\": \"0.662\", \"bbox\": [446, 53, 470, 64]}, {\"cell\": \"TPP\", \"bbox\": [14, 68, 33, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [54, 68, 119, 79]}, {\"cell\": \"24.85 ± 2.13\", \"bbox\": [147, 68, 199, 79]}, {\"cell\": \"23.84 ± 8.12 **\", \"bbox\": [228, 68, 293, 79]}, {\"cell\": \"13.13 ± 5.94\", \"bbox\": [318, 68, 370, 79]}, {\"cell\": \"0.753\", \"bbox\": [395, 68, 419, 79]}, {\"cell\": \"0.526\", \"bbox\": [446, 68, 470, 79]}, {\"cell\": \"SPP\", \"bbox\": [14, 83, 33, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [58, 83, 116, 94]}, {\"cell\": \"114.18 ± 24.94 **\", \"bbox\": [136, 83, 211, 94]}, {\"cell\": \"75.44 ± 12.57 **\", \"bbox\": [225, 83, 295, 94]}, {\"cell\": \"72.14 ± 16.51\", \"bbox\": [316, 83, 373, 94]}, {\"cell\": \"0.808\", \"bbox\": [395, 83, 420, 94]}, {\"cell\": \"0.631\", \"bbox\": [446, 83, 471, 94]}, {\"cell\": \"SF\", \"bbox\": [17, 98, 30, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [57, 98, 117, 109]}, {\"cell\": \"0.67 ± 0.08\", \"bbox\": [149, 98, 197, 109]}, {\"cell\": \"0.47 ± 0.10\", \"bbox\": [236, 98, 284, 109]}, {\"cell\": \"0.46 ± 0.20\", \"bbox\": [320, 98, 368, 109]}, {\"cell\": \"0.516\", \"bbox\": [395, 98, 419, 109]}, {\"cell\": \"0.687\", \"bbox\": [446, 98, 471, 109]}, {\"cell\": \"KGW\", \"bbox\": [11, 113, 37, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [61, 113, 113, 124]}, {\"cell\": \"32.28 ± 2.14 **\", \"bbox\": [141, 113, 206, 124]}, {\"cell\": \"19.69 ± 2.27\", \"bbox\": [234, 113, 286, 124]}, {\"cell\": \"31.26 ± 3.84 **\", \"bbox\": [312, 113, 377, 124]}, {\"cell\": \"0.838\", \"bbox\": [395, 113, 419, 124]}, {\"cell\": \"0.969\", \"bbox\": [446, 113, 470, 124]}, {\"cell\": \"RV\", \"bbox\": [16, 128, 32, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [61, 128, 113, 139]}, {\"cell\": \"60.51 ± 10.27 **\", \"bbox\": [138, 128, 208, 139]}, {\"cell\": \"20.82 ± 8.43\", \"bbox\": [234, 128, 286, 139]}, {\"cell\": \"31.56 ± 9.15 **\", \"bbox\": [312, 128, 377, 139]}, {\"cell\": \"0.568\", \"bbox\": [395, 128, 419, 139]}, {\"cell\": \"0.522\", \"bbox\": [446, 128, 470, 139]}, {\"cell\": \"RVT\", \"bbox\": [13, 143, 35, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [63, 143, 111, 154]}, {\"cell\": \"2.43 ± 0.57 **\", \"bbox\": [143, 143, 203, 154]}, {\"cell\": \"0.86 ± 0.27\", \"bbox\": [236, 143, 284, 154]}, {\"cell\": \"2.38 ± 0.50 **\", \"bbox\": [314, 143, 374, 154]}, {\"cell\": \"0.741\", \"bbox\": [395, 143, 419, 154]}, {\"cell\": \"0.979\", \"bbox\": [446, 143, 470, 154]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3634487_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
ParameterUnitValue
CatsDogs
[EMPTY_CELL]Number (percentage) of clinicians980 of 1182 (82.9%)946 of 1132 (83.6%)
[EMPTY_CELL]U/kg BW/injection: mean ± SD0.45 ± 0.310.60 ± 0.52
[EMPTY_CELL]Median number of cats/dogs (IQR)9 of 10 (6–10)7 of 10 (3–9)
[EMPTY_CELL]Median number of cats/dogs (IQR)0 of 10 (0–0)0 of 10 (0–0)
\", \"cells\": [{\"cell\": \"Parameter\", \"bbox\": [58, 10, 97, 20]}, {\"cell\": \"Unit\", \"bbox\": [193, 10, 212, 20]}, {\"cell\": \"Value\", \"bbox\": [327, 5, 350, 14]}, {\"cell\": \"Cats\", \"bbox\": [287, 19, 305, 29]}, {\"cell\": \"Dogs\", \"bbox\": [371, 19, 393, 29]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 33, 144, 53]}, {\"cell\": \"Number (percentage) of clinicians\", \"bbox\": [164, 33, 242, 53]}, {\"cell\": \"980 of 1182 (82.9%)\", \"bbox\": [261, 38, 330, 48]}, {\"cell\": \"946 of 1132 (83.6%)\", \"bbox\": [347, 38, 417, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [38, 58, 117, 68]}, {\"cell\": \"U/kg BW/injection: mean ± SD\", \"bbox\": [166, 53, 240, 73]}, {\"cell\": \"0.45 ± 0.31\", \"bbox\": [275, 58, 316, 68]}, {\"cell\": \"0.60 ± 0.52\", \"bbox\": [362, 58, 403, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 72, 145, 92]}, {\"cell\": \"Median number of cats/dogs (IQR)\", \"bbox\": [168, 72, 237, 92]}, {\"cell\": \"9 of 10 (6–10)\", \"bbox\": [271, 77, 320, 87]}, {\"cell\": \"7 of 10 (3–9)\", \"bbox\": [360, 77, 405, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 92, 144, 112]}, {\"cell\": \"Median number of cats/dogs (IQR)\", \"bbox\": [168, 92, 237, 112]}, {\"cell\": \"0 of 10 (0–0)\", \"bbox\": [273, 97, 318, 107]}, {\"cell\": \"0 of 10 (0–0)\", \"bbox\": [360, 97, 405, 107]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5606606_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]%ID/gST/CTXAnimal
CortexStriatumWhole brain
(−)-[125I]IBVM (1) [36]2.56 (240 min)[EMPTY_CELL]—2.44Mouse
(+)-[125I]IBVM (1) [36]0.12 (240 min)[EMPTY_CELL]—2.17Mouse
(−)-[18F]FEOBV (2)∗ [45]4.5 (180 min)[EMPTY_CELL]—1.74Mouse
(+)-[18F]FEOBV (2)∗ [45]2.0 (180 min)[EMPTY_CELL]—0.95Mouse
(−)-[11C]MABV (3)3.99 (45 min)[EMPTY_CELL]—2.03Mouse
(+)-[11C]MABV (3)0.91 (45 min)[EMPTY_CELL]—1.35Mouse
(−)-[125I]MIBT (8) [52]—[EMPTY_CELL]0.27 (60 min)—Rat
(+)-[125I]MIBT (8) [52]—[EMPTY_CELL]0.83 (60 min)—Rat
(−)-[18F]FBT (9) [57]1.18 (60 min)[EMPTY_CELL]1.05 (60 min)0.87Rat
(+)-[18F]FBT (9) [57]0.58 (60 min)[EMPTY_CELL]0.59 (60 min)1.28Rat
(−)-[123I]OIDV (13) [63]0.62 (30 min)[EMPTY_CELL]—1.02Rat
(+)-[123I]OIDV (13) [63]0.46 (30 min)[EMPTY_CELL]—0.98Rat
(−)-[18F]FBBV (18) [77]—[EMPTY_CELL]0.226 (30 min)—Rat
(+)-[18F]FBBV (18) [77]—[EMPTY_CELL]0.071 (30 min)—Rat
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"%ID/g\", \"bbox\": [239, 4, 264, 15]}, {\"cell\": \"ST/CTX\", \"bbox\": [403, 10, 435, 21]}, {\"cell\": \"Animal\", \"bbox\": [470, 10, 499, 21]}, {\"cell\": \"Cortex\", \"bbox\": [148, 17, 175, 28]}, {\"cell\": \"Striatum\", \"bbox\": [235, 17, 268, 28]}, {\"cell\": \"Whole brain\", \"bbox\": [317, 17, 365, 28]}, {\"cell\": \"(−)-[125I]IBVM (1) [36]\", \"bbox\": [2, 27, 91, 42]}, {\"cell\": \"2.56 (240 min)\", \"bbox\": [134, 30, 189, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 30, 279, 41]}, {\"cell\": \"—\", \"bbox\": [336, 30, 346, 41]}, {\"cell\": \"2.44\", \"bbox\": [411, 30, 428, 41]}, {\"cell\": \"Mouse\", \"bbox\": [471, 30, 497, 41]}, {\"cell\": \"(+)-[125I]IBVM (1) [36]\", \"bbox\": [2, 38, 91, 51]}, {\"cell\": \"0.12 (240 min)\", \"bbox\": [134, 40, 189, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 40, 279, 51]}, {\"cell\": \"—\", \"bbox\": [336, 40, 346, 51]}, {\"cell\": \"2.17\", \"bbox\": [411, 40, 427, 51]}, {\"cell\": \"Mouse\", \"bbox\": [471, 40, 497, 51]}, {\"cell\": \"(−)-[18F]FEOBV (2)∗ [45]\", \"bbox\": [2, 47, 100, 63]}, {\"cell\": \"4.5 (180 min)\", \"bbox\": [137, 51, 187, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 51, 277, 61]}, {\"cell\": \"—\", \"bbox\": [336, 51, 346, 61]}, {\"cell\": \"1.74\", \"bbox\": [411, 51, 428, 61]}, {\"cell\": \"Mouse\", \"bbox\": [471, 51, 497, 61]}, {\"cell\": \"(+)-[18F]FEOBV (2)∗ [45]\", \"bbox\": [2, 57, 100, 72]}, {\"cell\": \"2.0 (180 min)\", \"bbox\": [137, 61, 187, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 61, 275, 72]}, {\"cell\": \"—\", \"bbox\": [336, 61, 346, 72]}, {\"cell\": \"0.95\", \"bbox\": [411, 61, 428, 72]}, {\"cell\": \"Mouse\", \"bbox\": [471, 61, 497, 72]}, {\"cell\": \"(−)-[11C]MABV (3)\", \"bbox\": [2, 68, 77, 84]}, {\"cell\": \"3.99 (45 min)\", \"bbox\": [136, 72, 187, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 72, 274, 82]}, {\"cell\": \"—\", \"bbox\": [336, 72, 346, 82]}, {\"cell\": \"2.03\", \"bbox\": [411, 72, 428, 82]}, {\"cell\": \"Mouse\", \"bbox\": [471, 72, 497, 82]}, {\"cell\": \"(+)-[11C]MABV (3)\", \"bbox\": [2, 80, 77, 93]}, {\"cell\": \"0.91 (45 min)\", \"bbox\": [137, 82, 187, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 82, 277, 93]}, {\"cell\": \"—\", \"bbox\": [336, 82, 346, 93]}, {\"cell\": \"1.35\", \"bbox\": [411, 82, 428, 93]}, {\"cell\": \"Mouse\", \"bbox\": [471, 82, 497, 93]}, {\"cell\": \"(−)-[125I]MIBT (8) [52]\", \"bbox\": [2, 89, 91, 105]}, {\"cell\": \"—\", \"bbox\": [157, 93, 167, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [246, 93, 256, 103]}, {\"cell\": \"0.27 (60 min)\", \"bbox\": [316, 93, 366, 103]}, {\"cell\": \"—\", \"bbox\": [414, 93, 424, 103]}, {\"cell\": \"Rat\", \"bbox\": [477, 93, 491, 103]}, {\"cell\": \"(+)-[125I]MIBT (8) [52]\", \"bbox\": [2, 101, 91, 114]}, {\"cell\": \"—\", \"bbox\": [157, 103, 167, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [246, 103, 256, 114]}, {\"cell\": \"0.83 (60 min)\", \"bbox\": [316, 103, 366, 114]}, {\"cell\": \"—\", \"bbox\": [414, 103, 424, 114]}, {\"cell\": \"Rat\", \"bbox\": [477, 103, 491, 114]}, {\"cell\": \"(−)-[18F]FBT (9) [57]\", \"bbox\": [2, 110, 83, 126]}, {\"cell\": \"1.18 (60 min)\", \"bbox\": [137, 114, 187, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 114, 277, 124]}, {\"cell\": \"1.05 (60 min)\", \"bbox\": [316, 114, 366, 124]}, {\"cell\": \"0.87\", \"bbox\": [411, 114, 428, 124]}, {\"cell\": \"Rat\", \"bbox\": [477, 114, 491, 124]}, {\"cell\": \"(+)-[18F]FBT (9) [57]\", \"bbox\": [2, 122, 83, 135]}, {\"cell\": \"0.58 (60 min)\", \"bbox\": [136, 124, 187, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 124, 277, 135]}, {\"cell\": \"0.59 (60 min)\", \"bbox\": [316, 124, 366, 135]}, {\"cell\": \"1.28\", \"bbox\": [411, 124, 428, 135]}, {\"cell\": \"Rat\", \"bbox\": [477, 124, 491, 135]}, {\"cell\": \"(−)-[123I]OIDV (13) [63]\", \"bbox\": [2, 131, 96, 147]}, {\"cell\": \"0.62 (30 min)\", \"bbox\": [136, 134, 187, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 134, 277, 145]}, {\"cell\": \"—\", \"bbox\": [336, 134, 346, 145]}, {\"cell\": \"1.02\", \"bbox\": [411, 134, 428, 145]}, {\"cell\": \"Rat\", \"bbox\": [477, 134, 491, 145]}, {\"cell\": \"(+)-[123I]OIDV (13) [63]\", \"bbox\": [2, 143, 96, 156]}, {\"cell\": \"0.46 (30 min)\", \"bbox\": [136, 145, 187, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 145, 277, 156]}, {\"cell\": \"—\", \"bbox\": [336, 145, 346, 156]}, {\"cell\": \"0.98\", \"bbox\": [411, 145, 428, 156]}, {\"cell\": \"Rat\", \"bbox\": [477, 145, 491, 156]}, {\"cell\": \"(−)-[18F]FBBV (18) [77]\", \"bbox\": [2, 152, 93, 168]}, {\"cell\": \"—\", \"bbox\": [157, 155, 167, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [246, 155, 256, 166]}, {\"cell\": \"0.226 (30 min)\", \"bbox\": [313, 155, 369, 166]}, {\"cell\": \"—\", \"bbox\": [414, 155, 424, 166]}, {\"cell\": \"Rat\", \"bbox\": [477, 155, 491, 166]}, {\"cell\": \"(+)-[18F]FBBV (18) [77]\", \"bbox\": [2, 164, 93, 176]}, {\"cell\": \"—\", \"bbox\": [157, 166, 167, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [246, 166, 256, 176]}, {\"cell\": \"0.071 (30 min)\", \"bbox\": [314, 166, 368, 176]}, {\"cell\": \"—\", \"bbox\": [414, 166, 424, 176]}, {\"cell\": \"Rat\", \"bbox\": [477, 166, 491, 176]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC6020543_009_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
SNPsGenotypesRadiation mucositis1Radiation dermatitis1
[EMPTY_CELL][EMPTY_CELL]G0-2 2G3+ 2OR95%CIPG0-1 2G2+ 2OR95%CIP
XRCC1 rs25489GG:GA68/19/461/20/21.222[EMPTY_CELL]0.60596/27/533/12/11.3730.592-3.1840.460
GG:AA0.5170.082-3.2460.4810.926[EMPTY_CELL]0.948
GG:(GA+AA)1.0930.533-2.2440.8081.322[EMPTY_CELL]0.500
(GG+GA):AA0.4940.079-3.0840.4510.850[EMPTY_CELL]0.891
OGG1 rs1052133CC:CG30/40/2127/43/131.199[EMPTY_CELL]0.61142/58/2815/25/61.1190.503-2.4920.782
CC:GG0.7190.295-1.7530.4670.521[EMPTY_CELL]0.248
CC:(CG+GG)1.0330.536-1.9930.9220.910[EMPTY_CELL]0.808
(CC+CG):GG0.6460.293-1.4230.2780.487[EMPTY_CELL]0.158
APE(X)1 rs1130409TT:TG39/45/729/43/111.299[EMPTY_CELL]0.45751/64/1317/24/51.3410.605-2.9760.470
TT:GG1.7870.577-5.5380.3140.875[EMPTY_CELL]0.843
TT:(TG+GG)1.3790.716-2.6560.3361.235[EMPTY_CELL]0.584
(TT+TG):GG1.5690.535-4.6030.4120.761[EMPTY_CELL]0.670
\", \"cells\": [{\"cell\": \"SNPs\", \"bbox\": [24, 6, 42, 14]}, {\"cell\": \"Genotypes\", \"bbox\": [77, 6, 111, 14]}, {\"cell\": \"Radiation mucositis1\", \"bbox\": [181, 5, 245, 14]}, {\"cell\": \"Radiation dermatitis1\", \"bbox\": [368, 5, 434, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"G0-2 2\", \"bbox\": [129, 20, 150, 28]}, {\"cell\": \"G3+ 2\", \"bbox\": [166, 20, 185, 28]}, {\"cell\": \"OR\", \"bbox\": [205, 20, 217, 28]}, {\"cell\": \"95%CI\", \"bbox\": [238, 20, 262, 28]}, {\"cell\": \"P\", \"bbox\": [285, 20, 292, 27]}, {\"cell\": \"G0-1 2\", \"bbox\": [310, 20, 330, 28]}, {\"cell\": \"G2+ 2\", \"bbox\": [344, 20, 362, 28]}, {\"cell\": \"OR\", \"bbox\": [378, 20, 391, 28]}, {\"cell\": \"95%CI\", \"bbox\": [419, 20, 443, 28]}, {\"cell\": \"P\", \"bbox\": [477, 20, 484, 27]}, {\"cell\": \"XRCC1 rs25489\", \"bbox\": [4, 56, 51, 67]}, {\"cell\": \"GG:GA\", \"bbox\": [82, 34, 106, 45]}, {\"cell\": \"68/19/4\", \"bbox\": [128, 56, 151, 67]}, {\"cell\": \"61/20/2\", \"bbox\": [164, 56, 187, 67]}, {\"cell\": \"1.222\", \"bbox\": [202, 34, 220, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 34, 268, 45]}, {\"cell\": \"0.605\", \"bbox\": [280, 34, 297, 45]}, {\"cell\": \"96/27/5\", \"bbox\": [308, 56, 332, 67]}, {\"cell\": \"33/12/1\", \"bbox\": [341, 56, 365, 67]}, {\"cell\": \"1.373\", \"bbox\": [376, 34, 393, 45]}, {\"cell\": \"0.592-3.184\", \"bbox\": [413, 34, 449, 45]}, {\"cell\": \"0.460\", \"bbox\": [472, 34, 489, 45]}, {\"cell\": \"GG:AA\", \"bbox\": [82, 48, 106, 60]}, {\"cell\": \"0.517\", \"bbox\": [202, 48, 220, 60]}, {\"cell\": \"0.082-3.246\", \"bbox\": [232, 48, 268, 60]}, {\"cell\": \"0.481\", \"bbox\": [280, 51, 297, 58]}, {\"cell\": \"0.926\", \"bbox\": [376, 48, 393, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [413, 48, 449, 60]}, {\"cell\": \"0.948\", \"bbox\": [472, 48, 489, 60]}, {\"cell\": \"GG:(GA+AA)\", \"bbox\": [72, 63, 115, 74]}, {\"cell\": \"1.093\", \"bbox\": [202, 63, 220, 74]}, {\"cell\": \"0.533-2.244\", \"bbox\": [232, 63, 268, 74]}, {\"cell\": \"0.808\", \"bbox\": [280, 66, 297, 72]}, {\"cell\": \"1.322\", \"bbox\": [376, 63, 393, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [413, 63, 449, 74]}, {\"cell\": \"0.500\", \"bbox\": [472, 63, 489, 74]}, {\"cell\": \"(GG+GA):AA\", \"bbox\": [73, 78, 116, 89]}, {\"cell\": \"0.494\", \"bbox\": [202, 78, 220, 89]}, {\"cell\": \"0.079-3.084\", \"bbox\": [232, 78, 268, 89]}, {\"cell\": \"0.451\", \"bbox\": [280, 78, 297, 89]}, {\"cell\": \"0.850\", \"bbox\": [376, 78, 393, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [413, 78, 449, 89]}, {\"cell\": \"0.891\", \"bbox\": [471, 78, 489, 89]}, {\"cell\": \"OGG1 rs1052133\", \"bbox\": [4, 115, 55, 126]}, {\"cell\": \"CC:CG\", \"bbox\": [82, 93, 105, 104]}, {\"cell\": \"30/40/21\", \"bbox\": [126, 115, 153, 126]}, {\"cell\": \"27/43/13\", \"bbox\": [162, 115, 189, 126]}, {\"cell\": \"1.199\", \"bbox\": [202, 93, 220, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 93, 268, 104]}, {\"cell\": \"0.611\", \"bbox\": [280, 93, 297, 104]}, {\"cell\": \"42/58/28\", \"bbox\": [307, 115, 333, 126]}, {\"cell\": \"15/25/6\", \"bbox\": [341, 115, 365, 126]}, {\"cell\": \"1.119\", \"bbox\": [376, 93, 393, 104]}, {\"cell\": \"0.503-2.492\", \"bbox\": [413, 93, 449, 104]}, {\"cell\": \"0.782\", \"bbox\": [472, 93, 489, 104]}, {\"cell\": \"CC:GG\", \"bbox\": [82, 108, 106, 119]}, {\"cell\": \"0.719\", \"bbox\": [202, 108, 220, 119]}, {\"cell\": \"0.295-1.753\", \"bbox\": [232, 108, 268, 119]}, {\"cell\": \"0.467\", \"bbox\": [280, 108, 297, 119]}, {\"cell\": \"0.521\", \"bbox\": [376, 108, 393, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [413, 108, 449, 119]}, {\"cell\": \"0.248\", \"bbox\": [471, 108, 489, 119]}, {\"cell\": \"CC:(CG+GG)\", \"bbox\": [73, 123, 115, 134]}, {\"cell\": \"1.033\", \"bbox\": [202, 123, 220, 134]}, {\"cell\": \"0.536-1.993\", \"bbox\": [232, 123, 268, 134]}, {\"cell\": \"0.922\", \"bbox\": [280, 123, 297, 134]}, {\"cell\": \"0.910\", \"bbox\": [376, 123, 393, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [413, 123, 449, 134]}, {\"cell\": \"0.808\", \"bbox\": [472, 125, 489, 132]}, {\"cell\": \"(CC+CG):GG\", \"bbox\": [73, 138, 115, 149]}, {\"cell\": \"0.646\", \"bbox\": [202, 138, 220, 149]}, {\"cell\": \"0.293-1.423\", \"bbox\": [232, 138, 268, 149]}, {\"cell\": \"0.278\", \"bbox\": [280, 138, 297, 149]}, {\"cell\": \"0.487\", \"bbox\": [376, 140, 393, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [413, 138, 449, 149]}, {\"cell\": \"0.158\", \"bbox\": [472, 138, 489, 149]}, {\"cell\": \"APE(X)1 rs1130409\", \"bbox\": [4, 175, 62, 186]}, {\"cell\": \"TT:TG\", \"bbox\": [83, 152, 105, 164]}, {\"cell\": \"39/45/7\", \"bbox\": [128, 175, 151, 186]}, {\"cell\": \"29/43/11\", \"bbox\": [162, 175, 189, 186]}, {\"cell\": \"1.299\", \"bbox\": [202, 152, 220, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 152, 268, 164]}, {\"cell\": \"0.457\", \"bbox\": [280, 152, 297, 164]}, {\"cell\": \"51/64/13\", \"bbox\": [307, 175, 333, 186]}, {\"cell\": \"17/24/5\", \"bbox\": [341, 175, 365, 186]}, {\"cell\": \"1.341\", \"bbox\": [376, 152, 393, 164]}, {\"cell\": \"0.605-2.976\", \"bbox\": [413, 152, 449, 164]}, {\"cell\": \"0.470\", \"bbox\": [472, 155, 489, 162]}, {\"cell\": \"TT:GG\", \"bbox\": [83, 167, 105, 178]}, {\"cell\": \"1.787\", \"bbox\": [202, 170, 220, 176]}, {\"cell\": \"0.577-5.538\", \"bbox\": [232, 167, 268, 178]}, {\"cell\": \"0.314\", \"bbox\": [280, 167, 297, 178]}, {\"cell\": \"0.875\", \"bbox\": [376, 167, 393, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [413, 167, 449, 178]}, {\"cell\": \"0.843\", \"bbox\": [472, 167, 489, 178]}, {\"cell\": \"TT:(TG+GG)\", \"bbox\": [74, 182, 114, 193]}, {\"cell\": \"1.379\", \"bbox\": [202, 182, 220, 193]}, {\"cell\": \"0.716-2.656\", \"bbox\": [232, 182, 268, 193]}, {\"cell\": \"0.336\", \"bbox\": [280, 182, 297, 193]}, {\"cell\": \"1.235\", \"bbox\": [376, 182, 393, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [413, 182, 449, 193]}, {\"cell\": \"0.584\", \"bbox\": [472, 182, 489, 193]}, {\"cell\": \"(TT+TG):GG\", \"bbox\": [74, 197, 114, 208]}, {\"cell\": \"1.569\", \"bbox\": [202, 197, 220, 208]}, {\"cell\": \"0.535-4.603\", \"bbox\": [232, 197, 268, 208]}, {\"cell\": \"0.412\", \"bbox\": [280, 197, 297, 208]}, {\"cell\": \"0.761\", \"bbox\": [376, 197, 393, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [413, 197, 449, 208]}, {\"cell\": \"0.670\", \"bbox\": [472, 197, 489, 208]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5667987_004_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariablePerceived Stress
Whole SampleFemalesMales
[EMPTY_CELL]β (95% CI)β (95% CI)β (95% CI)
Food intake pattern score[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Sweets, cookies & snacks−0.02 (−0.07; 0.03)0.01 (−0.06; 0.07)[EMPTY_CELL]
Fruits, and raw & cooked vegetables−0.12 (−0.17; −0.07)−0.06 (−0.13; 0.02)[EMPTY_CELL]
Healthy eating[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Subjective importance of healthy eating−0.30 (−0.41; −0.19)−0.30 (−0.45; −0.14)[EMPTY_CELL]
Objective healthy eating adherence index−0.02 (−0.11; 0.07)0.00 (−0.13; 0.13)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Variable\", \"bbox\": [69, 14, 112, 26]}, {\"cell\": \"Perceived Stress\", \"bbox\": [296, 7, 368, 18]}, {\"cell\": \"Whole Sample\", \"bbox\": [201, 22, 265, 33]}, {\"cell\": \"Females\", \"bbox\": [318, 22, 355, 33]}, {\"cell\": \"Males\", \"bbox\": [421, 22, 449, 33]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"β (95% CI)\", \"bbox\": [208, 34, 258, 50]}, {\"cell\": \"β (95% CI)\", \"bbox\": [311, 34, 361, 50]}, {\"cell\": \"β (95% CI)\", \"bbox\": [410, 34, 460, 50]}, {\"cell\": \"Food intake pattern score\", \"bbox\": [39, 53, 142, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Sweets, cookies & snacks\", \"bbox\": [38, 68, 143, 79]}, {\"cell\": \"−0.02 (−0.07; 0.03)\", \"bbox\": [193, 65, 274, 80]}, {\"cell\": \"0.01 (−0.06; 0.07)\", \"bbox\": [299, 65, 374, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [395, 65, 475, 80]}, {\"cell\": \"Fruits, and raw & cooked vegetables\", \"bbox\": [16, 83, 165, 94]}, {\"cell\": \"−0.12 (−0.17; −0.07)\", \"bbox\": [190, 80, 277, 95]}, {\"cell\": \"−0.06 (−0.13; 0.02)\", \"bbox\": [296, 80, 376, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [393, 80, 477, 95]}, {\"cell\": \"Healthy eating\", \"bbox\": [60, 98, 121, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Subjective importance of healthy eating\", \"bbox\": [10, 113, 171, 124]}, {\"cell\": \"−0.30 (−0.41; −0.19)\", \"bbox\": [190, 110, 277, 125]}, {\"cell\": \"−0.30 (−0.45; −0.14)\", \"bbox\": [293, 110, 380, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 110, 478, 125]}, {\"cell\": \"Objective healthy eating adherence index\", \"bbox\": [7, 128, 174, 139]}, {\"cell\": \"−0.02 (−0.11; 0.07)\", \"bbox\": [193, 125, 274, 140]}, {\"cell\": \"0.00 (−0.13; 0.13)\", \"bbox\": [299, 125, 374, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [395, 125, 475, 140]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4661639_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Background characteristicsNNo. ever received couples' HCTPercentage %
[EMPTY_CELL]1656338.2
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]24729.2
[EMPTY_CELL]883438.6
[EMPTY_CELL]532241.5
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]783443.6
[EMPTY_CELL]872933.3
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]562239.3
[EMPTY_CELL]592644.1
[EMPTY_CELL]501530.0
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]742939.2
[EMPTY_CELL]762938.2
[EMPTY_CELL]15533.3
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]562035.7
[EMPTY_CELL]381744.7
[EMPTY_CELL]441329.5
[EMPTY_CELL]271348.1
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]1094238.5
[EMPTY_CELL]562137.5
\", \"cells\": [{\"cell\": \"Background characteristics\", \"bbox\": [6, 4, 141, 16]}, {\"cell\": \"N\", \"bbox\": [165, 4, 176, 16]}, {\"cell\": \"No. ever received couples' HCT\", \"bbox\": [231, 4, 392, 16]}, {\"cell\": \"Percentage %\", \"bbox\": [401, 4, 470, 16]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 23, 48, 35]}, {\"cell\": \"165\", \"bbox\": [165, 23, 186, 35]}, {\"cell\": \"63\", \"bbox\": [231, 23, 245, 35]}, {\"cell\": \"38.2\", \"bbox\": [401, 23, 424, 35]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 39, 95, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 54, 37, 67]}, {\"cell\": \"24\", \"bbox\": [165, 54, 180, 67]}, {\"cell\": \"7\", \"bbox\": [231, 54, 239, 67]}, {\"cell\": \"29.2\", \"bbox\": [404, 54, 427, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 71, 37, 83]}, {\"cell\": \"88\", \"bbox\": [165, 71, 180, 83]}, {\"cell\": \"34\", \"bbox\": [231, 71, 245, 83]}, {\"cell\": \"38.6\", \"bbox\": [404, 71, 427, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 87, 28, 99]}, {\"cell\": \"53\", \"bbox\": [165, 87, 180, 99]}, {\"cell\": \"22\", \"bbox\": [231, 87, 245, 99]}, {\"cell\": \"41.5\", \"bbox\": [404, 87, 427, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 103, 27, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 119, 34, 131]}, {\"cell\": \"78\", \"bbox\": [165, 119, 180, 131]}, {\"cell\": \"34\", \"bbox\": [231, 119, 245, 131]}, {\"cell\": \"43.6\", \"bbox\": [404, 119, 427, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 135, 44, 147]}, {\"cell\": \"87\", \"bbox\": [165, 135, 180, 147]}, {\"cell\": \"29\", \"bbox\": [231, 135, 245, 147]}, {\"cell\": \"33.3\", \"bbox\": [404, 135, 427, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 151, 84, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 167, 79, 179]}, {\"cell\": \"56\", \"bbox\": [165, 167, 180, 179]}, {\"cell\": \"22\", \"bbox\": [231, 167, 245, 179]}, {\"cell\": \"39.3\", \"bbox\": [404, 167, 427, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 183, 96, 195]}, {\"cell\": \"59\", \"bbox\": [165, 183, 180, 195]}, {\"cell\": \"26\", \"bbox\": [231, 183, 245, 195]}, {\"cell\": \"44.1\", \"bbox\": [404, 183, 427, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 199, 102, 211]}, {\"cell\": \"50\", \"bbox\": [165, 199, 180, 211]}, {\"cell\": \"15\", \"bbox\": [231, 199, 245, 211]}, {\"cell\": \"30.0\", \"bbox\": [404, 199, 427, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 216, 89, 228]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 231, 75, 244]}, {\"cell\": \"74\", \"bbox\": [165, 231, 180, 244]}, {\"cell\": \"29\", \"bbox\": [231, 231, 245, 244]}, {\"cell\": \"39.2\", \"bbox\": [404, 231, 427, 244]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 248, 87, 260]}, {\"cell\": \"76\", \"bbox\": [165, 248, 180, 260]}, {\"cell\": \"29\", \"bbox\": [231, 248, 245, 260]}, {\"cell\": \"38.2\", \"bbox\": [404, 248, 427, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 264, 110, 276]}, {\"cell\": \"15\", \"bbox\": [165, 264, 180, 276]}, {\"cell\": \"5\", \"bbox\": [231, 264, 239, 276]}, {\"cell\": \"33.3\", \"bbox\": [404, 264, 427, 276]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 280, 52, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 296, 50, 308]}, {\"cell\": \"56\", \"bbox\": [165, 296, 180, 308]}, {\"cell\": \"20\", \"bbox\": [231, 296, 245, 308]}, {\"cell\": \"35.7\", \"bbox\": [404, 296, 427, 308]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 312, 151, 324]}, {\"cell\": \"38\", \"bbox\": [165, 312, 180, 324]}, {\"cell\": \"17\", \"bbox\": [231, 312, 245, 324]}, {\"cell\": \"44.7\", \"bbox\": [404, 312, 427, 324]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 328, 47, 340]}, {\"cell\": \"44\", \"bbox\": [165, 328, 180, 340]}, {\"cell\": \"13\", \"bbox\": [231, 328, 245, 340]}, {\"cell\": \"29.5\", \"bbox\": [404, 328, 427, 340]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 344, 125, 356]}, {\"cell\": \"27\", \"bbox\": [165, 344, 180, 356]}, {\"cell\": \"13\", \"bbox\": [231, 344, 245, 356]}, {\"cell\": \"48.1\", \"bbox\": [404, 344, 427, 356]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 361, 69, 372]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 376, 81, 388]}, {\"cell\": \"109\", \"bbox\": [165, 376, 186, 388]}, {\"cell\": \"42\", \"bbox\": [231, 376, 245, 388]}, {\"cell\": \"38.5\", \"bbox\": [404, 376, 427, 388]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 392, 36, 404]}, {\"cell\": \"56\", \"bbox\": [165, 392, 180, 404]}, {\"cell\": \"21\", \"bbox\": [231, 392, 245, 404]}, {\"cell\": \"37.5\", \"bbox\": [404, 392, 427, 404]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5656195_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Acute/subacute (n = 41)Chronic (n = 24)p
Age (y)[EMPTY_CELL]55 (44–62)0.822
Female sex[EMPTY_CELL]21 (87.5%)0.015
Severity (Numeric Rating Scale)[EMPTY_CELL]7 (5 – 8)0.012
Duration (s)[EMPTY_CELL]1 (1 – 3)0.348
Affected territory (not exclusive)
Occipital[EMPTY_CELL]18 (75.0%)0.154
V1[EMPTY_CELL]4 (16.7%)0.454
Multiple[EMPTY_CELL]9 (37.5%)0.065
Side[EMPTY_CELL]
Side-locked[EMPTY_CELL]13 (54.2%)[EMPTY_CELL]
Bilateral or alternating[EMPTY_CELL]11 (45.8%)[EMPTY_CELL]
Migrating location[EMPTY_CELL]8 (33.3%)0.133
Stab frequency per day[EMPTY_CELL]
1 (sporadic stab)[EMPTY_CELL]6 (25.0%)[EMPTY_CELL]
2 – 10[EMPTY_CELL]11 (45.8%)[EMPTY_CELL]
10 – 30[EMPTY_CELL]4 (16.7%)[EMPTY_CELL]
30 – 100[EMPTY_CELL]2 (8.3%)[EMPTY_CELL]
> 100[EMPTY_CELL]1 (4.2%)[EMPTY_CELL]
Pattern of occurrence (either single or series of stabs)[EMPTY_CELL]
Daily[EMPTY_CELL]8 (33.3%)[EMPTY_CELL]
A few per month[EMPTY_CELL]7 (29.2%)[EMPTY_CELL]
A few per year[EMPTY_CELL]9 (37.5%)[EMPTY_CELL]
Disease duration prior to visit (d)[EMPTY_CELL]1,095 (195 – 2,920)0.000
Follow-up (d)[EMPTY_CELL]49 (29 – 98)0.086
Total disease duration (d)[EMPTY_CELL]987 (274 – 2,291)0.000
Complete remission[EMPTY_CELL]4 (16.7%)<0.001
Mode of remission[EMPTY_CELL]
Spontaneous[EMPTY_CELL]0 (0.0%)[EMPTY_CELL]
By treatment[EMPTY_CELL]4 (100.0%)[EMPTY_CELL]
Treatment responsea
Indomethacin[EMPTY_CELL]4/5 (80.0%)0.464
Prednisolone[EMPTY_CELL]0/4 (0.0%)0.015
Gabapentin[EMPTY_CELL]1/4 (25.0%)0.266
Tricyclic antidepressants[EMPTY_CELL]0/3 (0.0%)>0.999
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Acute/subacute (n = 41)\", \"bbox\": [183, 4, 261, 13]}, {\"cell\": \"Chronic (n = 24)\", \"bbox\": [329, 4, 381, 13]}, {\"cell\": \"p\", \"bbox\": [458, 6, 464, 13]}, {\"cell\": \"Age (y)\", \"bbox\": [1, 17, 25, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 17, 218, 27]}, {\"cell\": \"55 (44–62)\", \"bbox\": [329, 17, 364, 27]}, {\"cell\": \"0.822\", \"bbox\": [458, 17, 477, 27]}, {\"cell\": \"Female sex\", \"bbox\": [1, 31, 38, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 31, 218, 41]}, {\"cell\": \"21 (87.5%)\", \"bbox\": [329, 31, 363, 41]}, {\"cell\": \"0.015\", \"bbox\": [458, 31, 477, 41]}, {\"cell\": \"Severity (Numeric Rating Scale)\", \"bbox\": [1, 45, 102, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 45, 212, 55]}, {\"cell\": \"7 (5 – 8)\", \"bbox\": [329, 45, 357, 55]}, {\"cell\": \"0.012\", \"bbox\": [458, 45, 477, 55]}, {\"cell\": \"Duration (s)\", \"bbox\": [1, 59, 40, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 59, 212, 69]}, {\"cell\": \"1 (1 – 3)\", \"bbox\": [329, 59, 357, 69]}, {\"cell\": \"0.348\", \"bbox\": [458, 59, 477, 69]}, {\"cell\": \"Affected territory (not exclusive)\", \"bbox\": [1, 73, 105, 83]}, {\"cell\": \" Occipital\", \"bbox\": [9, 87, 38, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 87, 218, 97]}, {\"cell\": \"18 (75.0%)\", \"bbox\": [329, 87, 363, 97]}, {\"cell\": \"0.154\", \"bbox\": [458, 87, 477, 97]}, {\"cell\": \" V1\", \"bbox\": [9, 101, 18, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 101, 210, 111]}, {\"cell\": \"4 (16.7%)\", \"bbox\": [329, 101, 360, 111]}, {\"cell\": \"0.454\", \"bbox\": [458, 101, 477, 111]}, {\"cell\": \" Multiple\", \"bbox\": [9, 115, 36, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 115, 214, 125]}, {\"cell\": \"9 (37.5%)\", \"bbox\": [329, 115, 360, 125]}, {\"cell\": \"0.065\", \"bbox\": [458, 115, 477, 125]}, {\"cell\": \"Side\", \"bbox\": [1, 129, 16, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 129, 477, 139]}, {\"cell\": \" Side-locked\", \"bbox\": [9, 143, 47, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 143, 218, 153]}, {\"cell\": \"13 (54.2%)\", \"bbox\": [329, 143, 363, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Bilateral or alternating\", \"bbox\": [9, 157, 81, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 157, 214, 167]}, {\"cell\": \"11 (45.8%)\", \"bbox\": [329, 157, 363, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Migrating location\", \"bbox\": [9, 171, 69, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 171, 214, 180]}, {\"cell\": \"8 (33.3%)\", \"bbox\": [329, 171, 360, 180]}, {\"cell\": \"0.133\", \"bbox\": [458, 171, 477, 180]}, {\"cell\": \"Stab frequency per day\", \"bbox\": [1, 185, 77, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 185, 480, 194]}, {\"cell\": \" 1 (sporadic stab)\", \"bbox\": [9, 199, 63, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 199, 210, 208]}, {\"cell\": \"6 (25.0%)\", \"bbox\": [329, 199, 360, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 2 – 10\", \"bbox\": [9, 213, 31, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 213, 218, 222]}, {\"cell\": \"11 (45.8%)\", \"bbox\": [329, 213, 363, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 10 – 30\", \"bbox\": [9, 227, 35, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 227, 214, 236]}, {\"cell\": \"4 (16.7%)\", \"bbox\": [329, 227, 360, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 30 – 100\", \"bbox\": [9, 241, 38, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 241, 214, 250]}, {\"cell\": \"2 (8.3%)\", \"bbox\": [329, 241, 356, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"> 100\", \"bbox\": [10, 255, 30, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 255, 214, 264]}, {\"cell\": \"1 (4.2%)\", \"bbox\": [329, 255, 356, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Pattern of occurrence (either single or series of stabs)\", \"bbox\": [1, 269, 95, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 269, 484, 278]}, {\"cell\": \" Daily\", \"bbox\": [9, 292, 26, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 292, 218, 302]}, {\"cell\": \"8 (33.3%)\", \"bbox\": [329, 292, 360, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" A few per month\", \"bbox\": [9, 306, 66, 316]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 306, 210, 316]}, {\"cell\": \"7 (29.2%)\", \"bbox\": [329, 306, 360, 316]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" A few per year\", \"bbox\": [9, 320, 58, 330]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 320, 210, 330]}, {\"cell\": \"9 (37.5%)\", \"bbox\": [329, 320, 360, 330]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Disease duration prior to visit (d)\", \"bbox\": [9, 334, 115, 344]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 334, 219, 344]}, {\"cell\": \"1,095 (195 – 2,920)\", \"bbox\": [329, 334, 391, 344]}, {\"cell\": \"0.000\", \"bbox\": [458, 334, 477, 344]}, {\"cell\": \" Follow-up (d)\", \"bbox\": [9, 348, 53, 358]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 348, 223, 358]}, {\"cell\": \"49 (29 – 98)\", \"bbox\": [329, 348, 369, 358]}, {\"cell\": \"0.086\", \"bbox\": [458, 348, 477, 358]}, {\"cell\": \" Total disease duration (d)\", \"bbox\": [9, 362, 92, 371]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 362, 219, 371]}, {\"cell\": \"987 (274 – 2,291)\", \"bbox\": [329, 362, 386, 371]}, {\"cell\": \"0.000\", \"bbox\": [458, 362, 477, 371]}, {\"cell\": \" Complete remission\", \"bbox\": [9, 376, 74, 385]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 376, 218, 385]}, {\"cell\": \"4 (16.7%)\", \"bbox\": [329, 376, 360, 385]}, {\"cell\": \"<0.001\", \"bbox\": [458, 376, 481, 385]}, {\"cell\": \"Mode of remission\", \"bbox\": [1, 390, 62, 399]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 390, 477, 399]}, {\"cell\": \" Spontaneous\", \"bbox\": [9, 404, 52, 413]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 404, 218, 413]}, {\"cell\": \"0 (0.0%)\", \"bbox\": [329, 404, 356, 413]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" By treatment\", \"bbox\": [9, 418, 52, 427]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 418, 218, 427]}, {\"cell\": \"4 (100.0%)\", \"bbox\": [329, 418, 363, 427]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Treatment responsea\", \"bbox\": [1, 430, 69, 441]}, {\"cell\": \" Indomethacin\", \"bbox\": [8, 446, 55, 456]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 446, 220, 456]}, {\"cell\": \"4/5 (80.0%)\", \"bbox\": [329, 446, 366, 456]}, {\"cell\": \"0.464\", \"bbox\": [458, 446, 477, 456]}, {\"cell\": \" Prednisolone\", \"bbox\": [9, 460, 52, 470]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 460, 220, 470]}, {\"cell\": \"0/4 (0.0%)\", \"bbox\": [329, 460, 362, 470]}, {\"cell\": \"0.015\", \"bbox\": [458, 460, 477, 470]}, {\"cell\": \" Gabapentin\", \"bbox\": [9, 474, 48, 484]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 474, 220, 484]}, {\"cell\": \"1/4 (25.0%)\", \"bbox\": [329, 474, 366, 484]}, {\"cell\": \"0.266\", \"bbox\": [458, 474, 477, 484]}, {\"cell\": \" Tricyclic antidepressants\", \"bbox\": [9, 488, 87, 498]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 488, 220, 498]}, {\"cell\": \"0/3 (0.0%)\", \"bbox\": [329, 488, 362, 498]}, {\"cell\": \">0.999\", \"bbox\": [458, 488, 481, 498]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5388665_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL][EMPTY_CELL]Incident Cardiac Events
[EMPTY_CELL][EMPTY_CELL]Vascular Measure RiskModel Discrimination
[EMPTY_CELL][EMPTY_CELL]OverallDevelopmentalTest
ModelRCCA MeasureN = 6060N = 3841N = 2219
[EMPTY_CELL][EMPTY_CELL]HR (95% CI)AUCAUC
1IMT[EMPTY_CELL]0.6210.608
2IMT[EMPTY_CELL]0.6820.675
3IMT[EMPTY_CELL]0.8300.805
1diameter[EMPTY_CELL]0.6960.679
2diameter[EMPTY_CELL]0.7240.712
3diameter[EMPTY_CELL]0.8310.812
1Wall area[EMPTY_CELL]0.6800.661
2Wall area[EMPTY_CELL]0.7020.699
3Wall area[EMPTY_CELL]0.8310.808
ModelTwo Measures[EMPTY_CELL]DevelopmentalTest
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]AUCAUC
1IMT +diameter[EMPTY_CELL]0.7050.674
2IMT +diameter[EMPTY_CELL]0.7240.705
3IMT +diameter[EMPTY_CELL]0.8310.805
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Incident Cardiac Events\", \"bbox\": [310, 5, 391, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Vascular Measure Risk\", \"bbox\": [212, 15, 289, 24]}, {\"cell\": \"Model Discrimination\", \"bbox\": [364, 15, 438, 24]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Overall\", \"bbox\": [238, 25, 264, 35]}, {\"cell\": \"Developmental\", \"bbox\": [324, 25, 377, 35]}, {\"cell\": \"Test\", \"bbox\": [442, 25, 459, 35]}, {\"cell\": \"Model\", \"bbox\": [40, 35, 63, 45]}, {\"cell\": \"RCCA Measure\", \"bbox\": [124, 35, 179, 45]}, {\"cell\": \"N = 6060\", \"bbox\": [234, 35, 268, 45]}, {\"cell\": \"N = 3841\", \"bbox\": [334, 35, 368, 45]}, {\"cell\": \"N = 2219\", \"bbox\": [433, 35, 468, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"HR (95% CI)\", \"bbox\": [229, 58, 273, 67]}, {\"cell\": \"AUC\", \"bbox\": [341, 58, 360, 67]}, {\"cell\": \"AUC\", \"bbox\": [441, 58, 460, 67]}, {\"cell\": \"1\", \"bbox\": [48, 80, 54, 89]}, {\"cell\": \"IMT\", \"bbox\": [143, 80, 159, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [223, 80, 279, 89]}, {\"cell\": \"0.621\", \"bbox\": [341, 80, 361, 89]}, {\"cell\": \"0.608\", \"bbox\": [440, 80, 461, 89]}, {\"cell\": \"2\", \"bbox\": [48, 90, 54, 100]}, {\"cell\": \"IMT\", \"bbox\": [143, 90, 159, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [223, 90, 279, 100]}, {\"cell\": \"0.682\", \"bbox\": [341, 90, 361, 100]}, {\"cell\": \"0.675\", \"bbox\": [440, 90, 461, 100]}, {\"cell\": \"3\", \"bbox\": [48, 100, 54, 110]}, {\"cell\": \"IMT\", \"bbox\": [143, 100, 159, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [223, 100, 279, 110]}, {\"cell\": \"0.830\", \"bbox\": [341, 100, 361, 110]}, {\"cell\": \"0.805\", \"bbox\": [440, 100, 461, 110]}, {\"cell\": \"1\", \"bbox\": [48, 111, 54, 120]}, {\"cell\": \"diameter\", \"bbox\": [135, 111, 167, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [223, 111, 279, 120]}, {\"cell\": \"0.696\", \"bbox\": [341, 111, 361, 120]}, {\"cell\": \"0.679\", \"bbox\": [440, 111, 461, 120]}, {\"cell\": \"2\", \"bbox\": [48, 121, 54, 130]}, {\"cell\": \"diameter\", \"bbox\": [135, 121, 167, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [223, 121, 279, 130]}, {\"cell\": \"0.724\", \"bbox\": [341, 121, 361, 130]}, {\"cell\": \"0.712\", \"bbox\": [440, 121, 461, 130]}, {\"cell\": \"3\", \"bbox\": [48, 131, 54, 141]}, {\"cell\": \"diameter\", \"bbox\": [135, 131, 167, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [223, 131, 279, 141]}, {\"cell\": \"0.831\", \"bbox\": [341, 131, 361, 141]}, {\"cell\": \"0.812\", \"bbox\": [440, 131, 461, 141]}, {\"cell\": \"1\", \"bbox\": [48, 141, 54, 151]}, {\"cell\": \"Wall area\", \"bbox\": [134, 141, 168, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [223, 141, 279, 151]}, {\"cell\": \"0.680\", \"bbox\": [341, 141, 361, 151]}, {\"cell\": \"0.661\", \"bbox\": [440, 141, 461, 151]}, {\"cell\": \"2\", \"bbox\": [48, 152, 54, 161]}, {\"cell\": \"Wall area\", \"bbox\": [134, 152, 168, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [223, 152, 279, 161]}, {\"cell\": \"0.702\", \"bbox\": [341, 152, 361, 161]}, {\"cell\": \"0.699\", \"bbox\": [440, 152, 461, 161]}, {\"cell\": \"3\", \"bbox\": [48, 162, 54, 171]}, {\"cell\": \"Wall area\", \"bbox\": [134, 162, 168, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [223, 162, 279, 171]}, {\"cell\": \"0.831\", \"bbox\": [341, 162, 361, 171]}, {\"cell\": \"0.808\", \"bbox\": [440, 162, 461, 171]}, {\"cell\": \"Model\", \"bbox\": [40, 184, 63, 194]}, {\"cell\": \"Two Measures\", \"bbox\": [125, 184, 177, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 184, 273, 194]}, {\"cell\": \"Developmental\", \"bbox\": [324, 184, 377, 194]}, {\"cell\": \"Test\", \"bbox\": [442, 184, 459, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"AUC\", \"bbox\": [341, 194, 360, 204]}, {\"cell\": \"AUC\", \"bbox\": [441, 194, 460, 204]}, {\"cell\": \"1\", \"bbox\": [48, 217, 54, 226]}, {\"cell\": \"IMT +diameter\", \"bbox\": [135, 217, 167, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [223, 217, 279, 235]}, {\"cell\": \"0.705\", \"bbox\": [341, 217, 361, 226]}, {\"cell\": \"0.674\", \"bbox\": [440, 217, 461, 226]}, {\"cell\": \"2\", \"bbox\": [48, 236, 54, 246]}, {\"cell\": \"IMT +diameter\", \"bbox\": [135, 236, 167, 255]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [223, 236, 279, 255]}, {\"cell\": \"0.724\", \"bbox\": [341, 236, 361, 246]}, {\"cell\": \"0.705\", \"bbox\": [440, 236, 461, 246]}, {\"cell\": \"3\", \"bbox\": [48, 256, 54, 265]}, {\"cell\": \"IMT +diameter\", \"bbox\": [135, 256, 167, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [223, 256, 279, 274]}, {\"cell\": \"0.831\", \"bbox\": [341, 256, 361, 265]}, {\"cell\": \"0.805\", \"bbox\": [440, 256, 461, 265]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC1831763_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]ITT populationPRO-assessed population
VariableLiraglutide groupExenatide groupLiraglutide groupExenatide group
Men/women, n114/119127/104[EMPTY_CELL]99/88
Mean (sd) age, years56.3 (9.8)57.1 (10.8)[EMPTY_CELL]56.6 (11.1)
Mean (sd) weight, kg93.1 (20.1)93.0 (19.5)[EMPTY_CELL]95.0 (20.4)
Mean (sd) BMI, kg/m232.9 (5.5)32.9 (5.7)[EMPTY_CELL]33.5 (5.7)
Mean (sd) duration of diabetes, years8.5 (6.2)7.9 (5.9)[EMPTY_CELL]7.6 (5.9)
Mean (sd) HbA1c, %8.2 (1.0)8.1 (1.0)[EMPTY_CELL]8.1 (1.0)
Previous anti-diabetic treatment, n
Metformin6463[EMPTY_CELL]57
Sulphonylurea2421[EMPTY_CELL]14
Metformin + sulphonylurea145147[EMPTY_CELL]116
Mean (sd) fasting blood glucose, mmol/l9.8 (2.5)9.5 (2.4)[EMPTY_CELL]9.6 (2.5)
DTSQs scoreNANA[EMPTY_CELL]27.6
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"ITT population\", \"bbox\": [159, 7, 211, 17]}, {\"cell\": \"PRO-assessed population\", \"bbox\": [317, 7, 401, 17]}, {\"cell\": \"Variable\", \"bbox\": [1, 22, 30, 31]}, {\"cell\": \"Liraglutide group\", \"bbox\": [159, 22, 218, 31]}, {\"cell\": \"Exenatide group\", \"bbox\": [240, 22, 295, 31]}, {\"cell\": \"Liraglutide group\", \"bbox\": [317, 22, 376, 31]}, {\"cell\": \"Exenatide group\", \"bbox\": [397, 22, 453, 31]}, {\"cell\": \"Men/women, n\", \"bbox\": [1, 41, 54, 51]}, {\"cell\": \"114/119\", \"bbox\": [159, 41, 190, 51]}, {\"cell\": \"127/104\", \"bbox\": [240, 41, 270, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [317, 41, 339, 51]}, {\"cell\": \"99/88\", \"bbox\": [397, 41, 420, 51]}, {\"cell\": \"Mean (sd) age, years\", \"bbox\": [0, 51, 71, 61]}, {\"cell\": \"56.3 (9.8)\", \"bbox\": [159, 51, 193, 61]}, {\"cell\": \"57.1 (10.8)\", \"bbox\": [240, 51, 278, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [317, 51, 355, 61]}, {\"cell\": \"56.6 (11.1)\", \"bbox\": [397, 51, 436, 61]}, {\"cell\": \"Mean (sd) weight, kg\", \"bbox\": [0, 61, 73, 71]}, {\"cell\": \"93.1 (20.1)\", \"bbox\": [159, 61, 197, 71]}, {\"cell\": \"93.0 (19.5)\", \"bbox\": [240, 61, 278, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [317, 61, 355, 71]}, {\"cell\": \"95.0 (20.4)\", \"bbox\": [397, 61, 436, 71]}, {\"cell\": \"Mean (sd) BMI, kg/m2\", \"bbox\": [0, 70, 79, 81]}, {\"cell\": \"32.9 (5.5)\", \"bbox\": [159, 71, 193, 81]}, {\"cell\": \"32.9 (5.7)\", \"bbox\": [240, 71, 274, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [317, 71, 351, 81]}, {\"cell\": \"33.5 (5.7)\", \"bbox\": [397, 71, 432, 81]}, {\"cell\": \"Mean (sd) duration of diabetes, years\", \"bbox\": [1, 81, 126, 91]}, {\"cell\": \"8.5 (6.2)\", \"bbox\": [159, 81, 189, 91]}, {\"cell\": \"7.9 (5.9)\", \"bbox\": [240, 81, 270, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [317, 81, 347, 91]}, {\"cell\": \"7.6 (5.9)\", \"bbox\": [397, 81, 427, 91]}, {\"cell\": \"Mean (sd) HbA1c, %\", \"bbox\": [1, 91, 72, 101]}, {\"cell\": \"8.2 (1.0)\", \"bbox\": [159, 91, 189, 101]}, {\"cell\": \"8.1 (1.0)\", \"bbox\": [240, 91, 270, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [317, 91, 347, 101]}, {\"cell\": \"8.1 (1.0)\", \"bbox\": [397, 91, 427, 101]}, {\"cell\": \"Previous anti-diabetic treatment, n\", \"bbox\": [1, 101, 115, 110]}, {\"cell\": \" Metformin\", \"bbox\": [8, 111, 45, 120]}, {\"cell\": \"64\", \"bbox\": [159, 111, 169, 120]}, {\"cell\": \"63\", \"bbox\": [240, 111, 250, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [317, 111, 327, 120]}, {\"cell\": \"57\", \"bbox\": [397, 111, 408, 120]}, {\"cell\": \" Sulphonylurea\", \"bbox\": [8, 121, 56, 130]}, {\"cell\": \"24\", \"bbox\": [159, 121, 169, 130]}, {\"cell\": \"21\", \"bbox\": [240, 121, 250, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [317, 121, 327, 130]}, {\"cell\": \"14\", \"bbox\": [397, 121, 408, 130]}, {\"cell\": \" Metformin + sulphonylurea\", \"bbox\": [8, 131, 100, 140]}, {\"cell\": \"145\", \"bbox\": [159, 131, 173, 140]}, {\"cell\": \"147\", \"bbox\": [240, 131, 254, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [317, 131, 331, 140]}, {\"cell\": \"116\", \"bbox\": [397, 131, 412, 140]}, {\"cell\": \"Mean (sd) fasting blood glucose, mmol/l\", \"bbox\": [1, 141, 137, 150]}, {\"cell\": \"9.8 (2.5)\", \"bbox\": [159, 141, 189, 150]}, {\"cell\": \"9.5 (2.4)\", \"bbox\": [240, 141, 270, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [317, 141, 347, 150]}, {\"cell\": \"9.6 (2.5)\", \"bbox\": [397, 141, 427, 150]}, {\"cell\": \"DTSQs score\", \"bbox\": [0, 151, 45, 160]}, {\"cell\": \"NA\", \"bbox\": [159, 151, 172, 160]}, {\"cell\": \"NA\", \"bbox\": [240, 151, 253, 160]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [317, 151, 333, 160]}, {\"cell\": \"27.6\", \"bbox\": [397, 151, 414, 160]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3123703_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Individual name (mm TL)Shape of urogenital papilla at startDate of spawningSex roleExchangeIndividual nameShape of urogenital papilla at endGonad histology
Tom1 (23.0)[EMPTY_CELL]June 30MalePairing with the same sexTom1TaperedTestis
Tom2 (22.0)[EMPTY_CELL]FemaleTom3TaperedTestis
Tom3 (23.0)[EMPTY_CELL]July 30MaleTom2BulbousOvary
Tom4 (20.5)[EMPTY_CELL]FemaleTom4BulbousOvary
Tom5 (28.0)[EMPTY_CELL]May 30MalePairing with the same sexTom5TaperedTestis
Tom6 (28.0)[EMPTY_CELL]FemaleTom7TaperedTestis
Tom7 (25.0)[EMPTY_CELL]June 2MaleTom6BulbousOvary
Tom8 (24.0)[EMPTY_CELL]FemaleTom8BulbousOvary
Tom9 (24.0)[EMPTY_CELL]July 21MalePairing with the same sexTom9TaperedTestis
Tom10 (24.0)[EMPTY_CELL]FemaleTom11TaperedTestis
Tom11 (22.0)[EMPTY_CELL]July 25MaleTom10BulbousOvary
Tom12 (23.0)[EMPTY_CELL]FemaleTom12BulbousOvary
\", \"cells\": [{\"cell\": \"Individual name (mm TL)\", \"bbox\": [1, 8, 56, 28]}, {\"cell\": \"Shape of urogenital papilla at start\", \"bbox\": [66, 8, 132, 28]}, {\"cell\": \"Date of spawning\", \"bbox\": [142, 8, 176, 28]}, {\"cell\": \"Sex role\", \"bbox\": [186, 8, 215, 18]}, {\"cell\": \"Exchange\", \"bbox\": [225, 8, 259, 18]}, {\"cell\": \"Individual name\", \"bbox\": [321, 8, 377, 18]}, {\"cell\": \"Shape of urogenital papilla at end\", \"bbox\": [387, 8, 453, 28]}, {\"cell\": \"Gonad histology\", \"bbox\": [463, 8, 496, 28]}, {\"cell\": \"Tom1 (23.0)\", \"bbox\": [0, 38, 44, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [66, 38, 94, 48]}, {\"cell\": \"June 30\", \"bbox\": [142, 38, 170, 48]}, {\"cell\": \"Male\", \"bbox\": [186, 38, 205, 48]}, {\"cell\": \"Pairing with the same sex\", \"bbox\": [225, 38, 312, 48]}, {\"cell\": \"Tom1\", \"bbox\": [321, 38, 343, 48]}, {\"cell\": \"Tapered\", \"bbox\": [387, 38, 415, 48]}, {\"cell\": \"Testis\", \"bbox\": [463, 38, 484, 48]}, {\"cell\": \"Tom2 (22.0)\", \"bbox\": [0, 51, 44, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [66, 51, 96, 61]}, {\"cell\": \"Female\", \"bbox\": [186, 51, 212, 61]}, {\"cell\": \"Tom3\", \"bbox\": [321, 51, 343, 61]}, {\"cell\": \"Tapered\", \"bbox\": [387, 51, 415, 61]}, {\"cell\": \"Testis\", \"bbox\": [463, 51, 484, 61]}, {\"cell\": \"Tom3 (23.0)\", \"bbox\": [0, 64, 44, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [66, 64, 94, 74]}, {\"cell\": \"July 30\", \"bbox\": [142, 64, 169, 74]}, {\"cell\": \"Male\", \"bbox\": [186, 64, 205, 74]}, {\"cell\": \"Tom2\", \"bbox\": [321, 64, 343, 74]}, {\"cell\": \"Bulbous\", \"bbox\": [387, 64, 417, 74]}, {\"cell\": \"Ovary\", \"bbox\": [463, 64, 486, 74]}, {\"cell\": \"Tom4 (20.5)\", \"bbox\": [0, 77, 44, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [66, 77, 96, 86]}, {\"cell\": \"Female\", \"bbox\": [186, 77, 212, 86]}, {\"cell\": \"Tom4\", \"bbox\": [321, 77, 343, 86]}, {\"cell\": \"Bulbous\", \"bbox\": [387, 77, 417, 86]}, {\"cell\": \"Ovary\", \"bbox\": [463, 77, 486, 86]}, {\"cell\": \"Tom5 (28.0)\", \"bbox\": [0, 89, 44, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [66, 89, 94, 99]}, {\"cell\": \"May 30\", \"bbox\": [142, 89, 170, 99]}, {\"cell\": \"Male\", \"bbox\": [186, 89, 205, 99]}, {\"cell\": \"Pairing with the same sex\", \"bbox\": [225, 89, 312, 99]}, {\"cell\": \"Tom5\", \"bbox\": [321, 89, 343, 99]}, {\"cell\": \"Tapered\", \"bbox\": [387, 89, 415, 99]}, {\"cell\": \"Testis\", \"bbox\": [463, 89, 484, 99]}, {\"cell\": \"Tom6 (28.0)\", \"bbox\": [0, 102, 44, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [66, 102, 96, 112]}, {\"cell\": \"Female\", \"bbox\": [186, 102, 212, 112]}, {\"cell\": \"Tom7\", \"bbox\": [321, 102, 343, 112]}, {\"cell\": \"Tapered\", \"bbox\": [387, 102, 415, 112]}, {\"cell\": \"Testis\", \"bbox\": [463, 102, 484, 112]}, {\"cell\": \"Tom7 (25.0)\", \"bbox\": [0, 115, 44, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [66, 115, 94, 124]}, {\"cell\": \"June 2\", \"bbox\": [142, 115, 166, 124]}, {\"cell\": \"Male\", \"bbox\": [186, 115, 205, 124]}, {\"cell\": \"Tom6\", \"bbox\": [321, 115, 343, 124]}, {\"cell\": \"Bulbous\", \"bbox\": [387, 115, 417, 124]}, {\"cell\": \"Ovary\", \"bbox\": [463, 115, 486, 124]}, {\"cell\": \"Tom8 (24.0)\", \"bbox\": [0, 127, 44, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [66, 127, 96, 137]}, {\"cell\": \"Female\", \"bbox\": [186, 127, 212, 137]}, {\"cell\": \"Tom8\", \"bbox\": [321, 127, 343, 137]}, {\"cell\": \"Bulbous\", \"bbox\": [387, 127, 417, 137]}, {\"cell\": \"Ovary\", \"bbox\": [463, 127, 486, 137]}, {\"cell\": \"Tom9 (24.0)\", \"bbox\": [0, 140, 44, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [66, 140, 94, 150]}, {\"cell\": \"July 21\", \"bbox\": [142, 140, 169, 150]}, {\"cell\": \"Male\", \"bbox\": [186, 140, 205, 150]}, {\"cell\": \"Pairing with the same sex\", \"bbox\": [225, 140, 312, 150]}, {\"cell\": \"Tom9\", \"bbox\": [321, 140, 343, 150]}, {\"cell\": \"Tapered\", \"bbox\": [387, 140, 415, 150]}, {\"cell\": \"Testis\", \"bbox\": [463, 140, 484, 150]}, {\"cell\": \"Tom10 (24.0)\", \"bbox\": [0, 153, 48, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [66, 153, 96, 163]}, {\"cell\": \"Female\", \"bbox\": [186, 153, 212, 163]}, {\"cell\": \"Tom11\", \"bbox\": [321, 153, 347, 163]}, {\"cell\": \"Tapered\", \"bbox\": [387, 153, 415, 163]}, {\"cell\": \"Testis\", \"bbox\": [463, 153, 484, 163]}, {\"cell\": \"Tom11 (22.0)\", \"bbox\": [0, 166, 48, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [66, 166, 94, 175]}, {\"cell\": \"July 25\", \"bbox\": [142, 166, 169, 175]}, {\"cell\": \"Male\", \"bbox\": [186, 166, 205, 175]}, {\"cell\": \"Tom10\", \"bbox\": [321, 166, 347, 175]}, {\"cell\": \"Bulbous\", \"bbox\": [387, 166, 417, 175]}, {\"cell\": \"Ovary\", \"bbox\": [463, 166, 486, 175]}, {\"cell\": \"Tom12 (23.0)\", \"bbox\": [0, 178, 48, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [66, 178, 96, 188]}, {\"cell\": \"Female\", \"bbox\": [186, 178, 212, 188]}, {\"cell\": \"Tom12\", \"bbox\": [321, 178, 347, 188]}, {\"cell\": \"Bulbous\", \"bbox\": [387, 178, 417, 188]}, {\"cell\": \"Ovary\", \"bbox\": [463, 178, 486, 188]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5332495_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
TermExplanation
Coral bleaching[EMPTY_CELL]
Calcification[EMPTY_CELL]
Corals[EMPTY_CELL]
Counter-gradient variation[EMPTY_CELL]
Genetic assimilation[EMPTY_CELL]
Holobiont[EMPTY_CELL]
Macroalgae[EMPTY_CELL]
Metapopulation[EMPTY_CELL]
Ocean acidification[EMPTY_CELL]
Phenotypic buffering[EMPTY_CELL]
Phytoplankton[EMPTY_CELL]
Planktotrophic[EMPTY_CELL]
Seagrasses[EMPTY_CELL]
Selection for opportunity[EMPTY_CELL]
Symbiont[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Term\", \"bbox\": [1, 7, 19, 16]}, {\"cell\": \"Explanation\", \"bbox\": [93, 7, 131, 16]}, {\"cell\": \"Coral bleaching\", \"bbox\": [1, 24, 52, 34]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 24, 419, 44]}, {\"cell\": \"Calcification\", \"bbox\": [1, 45, 41, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 45, 473, 55]}, {\"cell\": \"Corals\", \"bbox\": [1, 56, 22, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 56, 417, 76]}, {\"cell\": \"Counter-gradient variation\", \"bbox\": [1, 77, 58, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 77, 398, 96]}, {\"cell\": \"Genetic assimilation\", \"bbox\": [1, 98, 66, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 98, 423, 117]}, {\"cell\": \"Holobiont\", \"bbox\": [1, 119, 34, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 119, 386, 138]}, {\"cell\": \"Macroalgae\", \"bbox\": [1, 139, 40, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 139, 449, 159]}, {\"cell\": \"Metapopulation\", \"bbox\": [1, 160, 53, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 160, 437, 170]}, {\"cell\": \"Ocean acidification\", \"bbox\": [1, 171, 63, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 171, 465, 180]}, {\"cell\": \"Phenotypic buffering\", \"bbox\": [1, 181, 69, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 181, 460, 201]}, {\"cell\": \"Phytoplankton\", \"bbox\": [1, 202, 48, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 202, 462, 222]}, {\"cell\": \"Planktotrophic\", \"bbox\": [1, 223, 48, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 223, 442, 243]}, {\"cell\": \"Seagrasses\", \"bbox\": [1, 244, 36, 253]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 244, 364, 253]}, {\"cell\": \"Selection for opportunity\", \"bbox\": [1, 255, 81, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 255, 463, 274]}, {\"cell\": \"Symbiont\", \"bbox\": [1, 275, 32, 285]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 275, 451, 295]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3894901_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
ParametersGroup IGroup IIGroup IIIGroup IVGroup V
(n: 31)(n: 28)(n: 31)(n: 30)(n: 30)
(16 F, 15 M)(14 F, 14 M)(16 F, 15 M)(15 F, 15 M)(15 F, 15 M)
Age (years)28.8 ± 16.2[EMPTY_CELL]55.2 ± 12.8a,c52.06 ± 15.2c45.8 ± 12.8c
BMI (kg/m2)17.6 ± 0.8[EMPTY_CELL]27.4 ± 2.1c34.9 ± 2.46c44.8 ± 4.2c
Glucose (mg/dL) in hunger89.8 ± 33.2[EMPTY_CELL]202.07 ± 9.9a,c192.2 ± 29.6c149.9 ± 9.7
Insulin (μU/mL) in hunger 14.1 ± 11.2[EMPTY_CELL]20.3 ± 2.416.5 ± 8.819.7 ± 1.8
HOMA-IR3.3 ± 3.1[EMPTY_CELL]9.8 ± 11.17.9 ± 7.78.4 ± 12.0
Total cholesterol (mg/dL)159.7 ± 44.2[EMPTY_CELL]207.0 ± 61.5b210.3 ± 52.7c184.7 ± 42.6
LDL (mg/dL)93.0 ± 33.3[EMPTY_CELL]133.7 ± 41.4c139.0 ± 37.3c122.3 ± 34.7a
HDL (mg/dL)48.4 ± 14.5[EMPTY_CELL]49.4 ± 18.852.2 ± 22.550.06 ± 17.5
VLDL (mg/dL)17.2 ± 10.1[EMPTY_CELL]42.8 ± 4.643.9 ± 3.237.8 ± 2.2
TG (mg/dL)91.9 ± 5.5[EMPTY_CELL]208.0 ± 22.8.4a219.7 ± 17.04a,b182 ± 11.9
AST (U/l)22.6 ± 10.8[EMPTY_CELL]21 ± 5.530.3 ± 3.925.7 ± 1.7
ALT (U/l)16.5 ± 6.5[EMPTY_CELL]22.1 ± 5.531.2 ± 3.237 ± 51.9a
\", \"cells\": [{\"cell\": \"Parameters\", \"bbox\": [2, 15, 45, 26]}, {\"cell\": \"Group I\", \"bbox\": [135, 4, 166, 15]}, {\"cell\": \"Group II\", \"bbox\": [209, 4, 243, 15]}, {\"cell\": \"Group III\", \"bbox\": [288, 4, 325, 15]}, {\"cell\": \"Group IV\", \"bbox\": [374, 4, 410, 15]}, {\"cell\": \"Group V\", \"bbox\": [457, 4, 491, 15]}, {\"cell\": \"(n: 31)\", \"bbox\": [138, 13, 162, 29]}, {\"cell\": \"(n: 28)\", \"bbox\": [213, 13, 239, 29]}, {\"cell\": \"(n: 31)\", \"bbox\": [294, 13, 318, 29]}, {\"cell\": \"(n: 30)\", \"bbox\": [379, 13, 405, 29]}, {\"cell\": \"(n: 30)\", \"bbox\": [462, 13, 487, 29]}, {\"cell\": \"(16 F, 15 M)\", \"bbox\": [129, 29, 172, 39]}, {\"cell\": \"(14 F, 14 M)\", \"bbox\": [205, 29, 247, 39]}, {\"cell\": \"(16 F, 15 M)\", \"bbox\": [285, 29, 328, 39]}, {\"cell\": \"(15 F, 15 M)\", \"bbox\": [371, 29, 413, 39]}, {\"cell\": \"(15 F, 15 M)\", \"bbox\": [453, 29, 496, 39]}, {\"cell\": \"Age (years)\", \"bbox\": [2, 42, 45, 52]}, {\"cell\": \"28.8 ± 16.2\", \"bbox\": [130, 38, 171, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [204, 38, 248, 54]}, {\"cell\": \"55.2 ± 12.8a,c\", \"bbox\": [282, 38, 330, 54]}, {\"cell\": \"52.06 ± 15.2c\", \"bbox\": [368, 38, 416, 54]}, {\"cell\": \"45.8 ± 12.8c\", \"bbox\": [452, 38, 496, 54]}, {\"cell\": \"BMI (kg/m2)\", \"bbox\": [2, 52, 51, 65]}, {\"cell\": \"17.6 ± 0.8\", \"bbox\": [132, 51, 169, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [206, 51, 245, 66]}, {\"cell\": \"27.4 ± 2.1c\", \"bbox\": [286, 51, 326, 66]}, {\"cell\": \"34.9 ± 2.46c\", \"bbox\": [370, 51, 413, 66]}, {\"cell\": \"44.8 ± 4.2c\", \"bbox\": [454, 51, 494, 66]}, {\"cell\": \"Glucose (mg/dL) in hunger\", \"bbox\": [2, 67, 102, 77]}, {\"cell\": \"89.8 ± 33.2\", \"bbox\": [130, 63, 171, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 63, 249, 79]}, {\"cell\": \"202.07 ± 9.9a,c\", \"bbox\": [280, 63, 332, 79]}, {\"cell\": \"192.2 ± 29.6c\", \"bbox\": [368, 63, 416, 79]}, {\"cell\": \"149.9 ± 9.7\", \"bbox\": [454, 63, 495, 79]}, {\"cell\": \"Insulin (μU/mL) in hunger \", \"bbox\": [2, 76, 102, 91]}, {\"cell\": \"14.1 ± 11.2\", \"bbox\": [130, 76, 171, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [207, 76, 244, 91]}, {\"cell\": \"20.3 ± 2.4\", \"bbox\": [288, 76, 325, 91]}, {\"cell\": \"16.5 ± 8.8\", \"bbox\": [373, 76, 410, 91]}, {\"cell\": \"19.7 ± 1.8\", \"bbox\": [456, 76, 493, 91]}, {\"cell\": \"HOMA-IR\", \"bbox\": [2, 91, 43, 102]}, {\"cell\": \"3.3 ± 3.1\", \"bbox\": [134, 88, 167, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [207, 88, 244, 104]}, {\"cell\": \"9.8 ± 11.1\", \"bbox\": [288, 88, 325, 104]}, {\"cell\": \"7.9 ± 7.7\", \"bbox\": [376, 88, 408, 104]}, {\"cell\": \"8.4 ± 12.0\", \"bbox\": [456, 88, 493, 104]}, {\"cell\": \"Total cholesterol (mg/dL)\", \"bbox\": [2, 104, 95, 115]}, {\"cell\": \"159.7 ± 44.2\", \"bbox\": [128, 101, 173, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 101, 249, 116]}, {\"cell\": \"207.0 ± 61.5b\", \"bbox\": [282, 101, 330, 116]}, {\"cell\": \"210.3 ± 52.7c\", \"bbox\": [368, 101, 416, 116]}, {\"cell\": \"184.7 ± 42.6\", \"bbox\": [452, 101, 497, 116]}, {\"cell\": \"LDL (mg/dL)\", \"bbox\": [2, 116, 53, 127]}, {\"cell\": \"93.0 ± 33.3\", \"bbox\": [130, 113, 171, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 113, 249, 129]}, {\"cell\": \"133.7 ± 41.4c\", \"bbox\": [282, 113, 330, 129]}, {\"cell\": \"139.0 ± 37.3c\", \"bbox\": [368, 113, 416, 129]}, {\"cell\": \"122.3 ± 34.7a\", \"bbox\": [450, 113, 498, 129]}, {\"cell\": \"HDL (mg/dL)\", \"bbox\": [2, 129, 55, 139]}, {\"cell\": \"48.4 ± 14.5\", \"bbox\": [130, 126, 171, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 126, 247, 141]}, {\"cell\": \"49.4 ± 18.8\", \"bbox\": [286, 126, 327, 141]}, {\"cell\": \"52.2 ± 22.5\", \"bbox\": [371, 126, 412, 141]}, {\"cell\": \"50.06 ± 17.5\", \"bbox\": [452, 126, 497, 141]}, {\"cell\": \"VLDL (mg/dL)\", \"bbox\": [2, 141, 59, 152]}, {\"cell\": \"17.2 ± 10.1\", \"bbox\": [130, 138, 171, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [207, 138, 244, 153]}, {\"cell\": \"42.8 ± 4.6\", \"bbox\": [288, 138, 325, 153]}, {\"cell\": \"43.9 ± 3.2\", \"bbox\": [373, 138, 410, 153]}, {\"cell\": \"37.8 ± 2.2\", \"bbox\": [456, 138, 493, 153]}, {\"cell\": \"TG (mg/dL)\", \"bbox\": [2, 154, 48, 164]}, {\"cell\": \"91.9 ± 5.5\", \"bbox\": [132, 150, 169, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [204, 150, 248, 166]}, {\"cell\": \"208.0 ± 22.8.4a\", \"bbox\": [279, 150, 333, 166]}, {\"cell\": \"219.7 ± 17.04a,b\", \"bbox\": [363, 150, 420, 166]}, {\"cell\": \"182 ± 11.9\", \"bbox\": [455, 150, 494, 166]}, {\"cell\": \"AST (U/l)\", \"bbox\": [2, 166, 40, 177]}, {\"cell\": \"22.6 ± 10.8\", \"bbox\": [130, 163, 171, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [207, 163, 244, 178]}, {\"cell\": \"21 ± 5.5\", \"bbox\": [291, 163, 322, 178]}, {\"cell\": \"30.3 ± 3.9\", \"bbox\": [373, 163, 410, 178]}, {\"cell\": \"25.7 ± 1.7\", \"bbox\": [456, 163, 493, 178]}, {\"cell\": \"ALT (U/l)\", \"bbox\": [2, 179, 41, 189]}, {\"cell\": \"16.5 ± 6.5\", \"bbox\": [132, 175, 169, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [207, 175, 244, 191]}, {\"cell\": \"22.1 ± 5.5\", \"bbox\": [288, 175, 325, 191]}, {\"cell\": \"31.2 ± 3.2\", \"bbox\": [373, 175, 410, 191]}, {\"cell\": \"37 ± 51.9a\", \"bbox\": [455, 175, 493, 191]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3858877_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Total N=249Accepted HIV test n=190Declined HIV test n=59p
Argentinean, n (%)188 (78.3)[EMPTY_CELL]41 (82)0.56
Age in years, median (IQR)58 (45–69)[EMPTY_CELL]65 (49–76)0.004
Men, n (%)118 (47.4)[EMPTY_CELL]28 (47.5)0.99
Self-reported heterosexual, n (%)240 (100)[EMPTY_CELL]51 (100)1
Use of illicit drugs, n (%)21 (8.8)[EMPTY_CELL]2 (4)0.26
Completed high school, n (%)82 (34.3)[EMPTY_CELL]14 (28)0.29
Medical insurance, n (%)88 (36.5)[EMPTY_CELL]25 (49)0.04
Employed, n (%)102 (42.3)[EMPTY_CELL]19 (37.2)0.41
Stable relationship, n (%)126 (54.6)[EMPTY_CELL]29 (60.4)0.36
Previous HIV test, n (%)88 (38.9)[EMPTY_CELL]18 (39.1)0.98
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Total N=249\", \"bbox\": [175, 14, 214, 26]}, {\"cell\": \"Accepted HIV test n=190\", \"bbox\": [236, 14, 313, 26]}, {\"cell\": \"Declined HIV test n=59\", \"bbox\": [358, 14, 430, 26]}, {\"cell\": \"p\", \"bbox\": [471, 14, 477, 26]}, {\"cell\": \"Argentinean, n (%)\", \"bbox\": [1, 26, 60, 37]}, {\"cell\": \"188 (78.3)\", \"bbox\": [175, 26, 207, 37]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 26, 267, 37]}, {\"cell\": \"41 (82)\", \"bbox\": [358, 26, 381, 37]}, {\"cell\": \"0.56\", \"bbox\": [471, 26, 486, 37]}, {\"cell\": \"Age in years, median (IQR)\", \"bbox\": [1, 37, 85, 48]}, {\"cell\": \"58 (45–69)\", \"bbox\": [175, 37, 208, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 37, 269, 48]}, {\"cell\": \"65 (49–76)\", \"bbox\": [358, 37, 391, 48]}, {\"cell\": \"0.004\", \"bbox\": [471, 37, 489, 48]}, {\"cell\": \"Men, n (%)\", \"bbox\": [1, 48, 35, 59]}, {\"cell\": \"118 (47.4)\", \"bbox\": [175, 48, 207, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 48, 264, 59]}, {\"cell\": \"28 (47.5)\", \"bbox\": [358, 48, 386, 59]}, {\"cell\": \"0.99\", \"bbox\": [471, 48, 486, 59]}, {\"cell\": \"Self-reported heterosexual, n (%)\", \"bbox\": [1, 59, 104, 70]}, {\"cell\": \"240 (100)\", \"bbox\": [175, 59, 205, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 59, 265, 70]}, {\"cell\": \"51 (100)\", \"bbox\": [358, 59, 384, 70]}, {\"cell\": \"1\", \"bbox\": [471, 59, 477, 70]}, {\"cell\": \"Use of illicit drugs, n (%)\", \"bbox\": [1, 70, 78, 81]}, {\"cell\": \"21 (8.8)\", \"bbox\": [175, 70, 199, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 70, 264, 81]}, {\"cell\": \"2 (4)\", \"bbox\": [358, 70, 373, 81]}, {\"cell\": \"0.26\", \"bbox\": [471, 70, 486, 81]}, {\"cell\": \"Completed high school, n (%)\", \"bbox\": [1, 81, 94, 92]}, {\"cell\": \"82 (34.3)\", \"bbox\": [175, 81, 203, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 81, 258, 92]}, {\"cell\": \"14 (28)\", \"bbox\": [358, 81, 381, 92]}, {\"cell\": \"0.29\", \"bbox\": [471, 81, 486, 92]}, {\"cell\": \"Medical insurance, n (%)\", \"bbox\": [1, 92, 78, 103]}, {\"cell\": \"88 (36.5)\", \"bbox\": [175, 92, 203, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 92, 264, 103]}, {\"cell\": \"25 (49)\", \"bbox\": [358, 92, 381, 103]}, {\"cell\": \"0.04\", \"bbox\": [471, 92, 486, 103]}, {\"cell\": \"Employed, n (%)\", \"bbox\": [1, 103, 53, 114]}, {\"cell\": \"102 (42.3)\", \"bbox\": [175, 103, 207, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 103, 264, 114]}, {\"cell\": \"19 (37.2)\", \"bbox\": [358, 103, 386, 114]}, {\"cell\": \"0.41\", \"bbox\": [471, 103, 486, 114]}, {\"cell\": \"Stable relationship, n (%)\", \"bbox\": [1, 114, 80, 125]}, {\"cell\": \"126 (54.6)\", \"bbox\": [175, 114, 207, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 114, 258, 125]}, {\"cell\": \"29 (60.4)\", \"bbox\": [358, 114, 386, 125]}, {\"cell\": \"0.36\", \"bbox\": [471, 114, 486, 125]}, {\"cell\": \"Previous HIV test, n (%)\", \"bbox\": [1, 125, 75, 136]}, {\"cell\": \"88 (38.9)\", \"bbox\": [175, 125, 203, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 125, 264, 136]}, {\"cell\": \"18 (39.1)\", \"bbox\": [358, 125, 386, 136]}, {\"cell\": \"0.98\", \"bbox\": [471, 125, 486, 136]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3729969_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Pt. #ChrBandStart pos.End pos.Gain/LossSize# of BACs# of OligosInheritance
22365chr9p239,881,3859,984,838Loss103,453[EMPTY_CELL]15Paternal
21702chr16p12.221,486,89721,641,890Loss154,993[EMPTY_CELL]16Paternal
21883chr16p12.121,974,39622,338,234Gain363,838[EMPTY_CELL]49Maternal
21860chr16p12.121,907,27022,338,234Loss430,964[EMPTY_CELL]50Unknown
22009chr22q11.2119,069,12519,770,655Loss701,530[EMPTY_CELL]70Paternal
22102chr16p13.1114,981,04416,166,985Gain1,185,941[EMPTY_CELL]60Maternal
22246chr10p11.2231,591,31032,792,762Loss1,201,452[EMPTY_CELL]40Unknown
21893chrXp11.3245,930,65246,382,140Gain451,488[EMPTY_CELL]34Maternal
22273chrXq28153,355,101154,317,591Gain962,490[EMPTY_CELL]46Unknown
10245chr3p14.167,727,84169,101,769Loss1,373,928[EMPTY_CELL]25Unknown
22348chr13q22.274,989,69975,378,640Loss388,941[EMPTY_CELL]51De novo
\", \"cells\": [{\"cell\": \"Pt. #\", \"bbox\": [9, 4, 27, 13]}, {\"cell\": \"Chr\", \"bbox\": [40, 4, 54, 13]}, {\"cell\": \"Band\", \"bbox\": [75, 4, 95, 13]}, {\"cell\": \"Start pos.\", \"bbox\": [130, 4, 165, 13]}, {\"cell\": \"End pos.\", \"bbox\": [188, 4, 220, 13]}, {\"cell\": \"Gain/Loss\", \"bbox\": [230, 4, 266, 13]}, {\"cell\": \"Size\", \"bbox\": [290, 4, 305, 13]}, {\"cell\": \"# of BACs\", \"bbox\": [329, 4, 365, 13]}, {\"cell\": \"# of Oligos\", \"bbox\": [381, 4, 422, 13]}, {\"cell\": \"Inheritance\", \"bbox\": [438, 4, 478, 13]}, {\"cell\": \"22365\", \"bbox\": [7, 17, 30, 27]}, {\"cell\": \"chr9\", \"bbox\": [40, 17, 56, 26]}, {\"cell\": \"p23\", \"bbox\": [75, 17, 89, 26]}, {\"cell\": \"9,881,385\", \"bbox\": [134, 17, 165, 26]}, {\"cell\": \"9,984,838\", \"bbox\": [189, 17, 220, 26]}, {\"cell\": \"Loss\", \"bbox\": [240, 17, 256, 26]}, {\"cell\": \"103,453\", \"bbox\": [284, 17, 311, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 17, 350, 26]}, {\"cell\": \"15\", \"bbox\": [397, 17, 406, 26]}, {\"cell\": \"Paternal\", \"bbox\": [444, 17, 472, 26]}, {\"cell\": \"21702\", \"bbox\": [7, 30, 30, 40]}, {\"cell\": \"chr16\", \"bbox\": [40, 30, 59, 40]}, {\"cell\": \"p12.2\", \"bbox\": [75, 30, 95, 40]}, {\"cell\": \"21,486,897\", \"bbox\": [130, 30, 166, 40]}, {\"cell\": \"21,641,890\", \"bbox\": [185, 30, 221, 40]}, {\"cell\": \"Loss\", \"bbox\": [240, 30, 256, 40]}, {\"cell\": \"154,993\", \"bbox\": [284, 30, 311, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 30, 350, 40]}, {\"cell\": \"16\", \"bbox\": [397, 30, 406, 40]}, {\"cell\": \"Paternal\", \"bbox\": [444, 30, 472, 40]}, {\"cell\": \"21883\", \"bbox\": [7, 44, 30, 53]}, {\"cell\": \"chr16\", \"bbox\": [40, 44, 59, 53]}, {\"cell\": \"p12.1\", \"bbox\": [75, 44, 95, 53]}, {\"cell\": \"21,974,396\", \"bbox\": [130, 44, 166, 53]}, {\"cell\": \"22,338,234\", \"bbox\": [185, 44, 221, 53]}, {\"cell\": \"Gain\", \"bbox\": [240, 44, 256, 53]}, {\"cell\": \"363,838\", \"bbox\": [284, 44, 311, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 44, 350, 53]}, {\"cell\": \"49\", \"bbox\": [397, 44, 406, 53]}, {\"cell\": \"Maternal\", \"bbox\": [443, 44, 473, 53]}, {\"cell\": \"21860\", \"bbox\": [7, 57, 30, 66]}, {\"cell\": \"chr16\", \"bbox\": [40, 57, 59, 66]}, {\"cell\": \"p12.1\", \"bbox\": [75, 57, 95, 66]}, {\"cell\": \"21,907,270\", \"bbox\": [130, 57, 166, 66]}, {\"cell\": \"22,338,234\", \"bbox\": [185, 57, 221, 66]}, {\"cell\": \"Loss\", \"bbox\": [240, 57, 256, 66]}, {\"cell\": \"430,964\", \"bbox\": [284, 57, 311, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 57, 350, 66]}, {\"cell\": \"50\", \"bbox\": [397, 57, 406, 66]}, {\"cell\": \"Unknown\", \"bbox\": [442, 57, 475, 66]}, {\"cell\": \"22009\", \"bbox\": [7, 70, 30, 79]}, {\"cell\": \"chr22\", \"bbox\": [40, 70, 59, 79]}, {\"cell\": \"q11.21\", \"bbox\": [75, 70, 98, 79]}, {\"cell\": \"19,069,125\", \"bbox\": [130, 70, 166, 79]}, {\"cell\": \"19,770,655\", \"bbox\": [185, 70, 221, 79]}, {\"cell\": \"Loss\", \"bbox\": [240, 70, 256, 79]}, {\"cell\": \"701,530\", \"bbox\": [284, 70, 311, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 70, 350, 79]}, {\"cell\": \"70\", \"bbox\": [397, 70, 406, 79]}, {\"cell\": \"Paternal\", \"bbox\": [444, 70, 472, 79]}, {\"cell\": \"22102\", \"bbox\": [7, 83, 30, 93]}, {\"cell\": \"chr16\", \"bbox\": [40, 83, 59, 93]}, {\"cell\": \"p13.11\", \"bbox\": [75, 83, 98, 93]}, {\"cell\": \"14,981,044\", \"bbox\": [130, 83, 166, 93]}, {\"cell\": \"16,166,985\", \"bbox\": [185, 83, 221, 93]}, {\"cell\": \"Gain\", \"bbox\": [240, 83, 256, 93]}, {\"cell\": \"1,185,941\", \"bbox\": [282, 83, 313, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 83, 350, 93]}, {\"cell\": \"60\", \"bbox\": [397, 83, 406, 93]}, {\"cell\": \"Maternal\", \"bbox\": [443, 83, 473, 93]}, {\"cell\": \"22246\", \"bbox\": [7, 96, 30, 106]}, {\"cell\": \"chr10\", \"bbox\": [40, 96, 59, 106]}, {\"cell\": \"p11.22\", \"bbox\": [75, 96, 98, 106]}, {\"cell\": \"31,591,310\", \"bbox\": [130, 96, 166, 106]}, {\"cell\": \"32,792,762\", \"bbox\": [185, 96, 221, 106]}, {\"cell\": \"Loss\", \"bbox\": [240, 96, 256, 106]}, {\"cell\": \"1,201,452\", \"bbox\": [282, 96, 313, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 96, 350, 106]}, {\"cell\": \"40\", \"bbox\": [397, 96, 406, 106]}, {\"cell\": \"Unknown\", \"bbox\": [442, 96, 475, 106]}, {\"cell\": \"21893\", \"bbox\": [7, 110, 30, 119]}, {\"cell\": \"chrX\", \"bbox\": [40, 110, 56, 119]}, {\"cell\": \"p11.32\", \"bbox\": [75, 110, 98, 119]}, {\"cell\": \"45,930,652\", \"bbox\": [130, 110, 166, 119]}, {\"cell\": \"46,382,140\", \"bbox\": [185, 110, 221, 119]}, {\"cell\": \"Gain\", \"bbox\": [240, 110, 256, 119]}, {\"cell\": \"451,488\", \"bbox\": [284, 110, 311, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 110, 350, 119]}, {\"cell\": \"34\", \"bbox\": [397, 110, 406, 119]}, {\"cell\": \"Maternal\", \"bbox\": [443, 110, 473, 119]}, {\"cell\": \"22273\", \"bbox\": [7, 123, 30, 132]}, {\"cell\": \"chrX\", \"bbox\": [40, 123, 56, 132]}, {\"cell\": \"q28\", \"bbox\": [75, 123, 89, 132]}, {\"cell\": \"153,355,101\", \"bbox\": [127, 123, 165, 132]}, {\"cell\": \"154,317,591\", \"bbox\": [182, 123, 221, 132]}, {\"cell\": \"Gain\", \"bbox\": [240, 123, 256, 132]}, {\"cell\": \"962,490\", \"bbox\": [284, 123, 311, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 123, 350, 132]}, {\"cell\": \"46\", \"bbox\": [397, 123, 406, 132]}, {\"cell\": \"Unknown\", \"bbox\": [442, 123, 475, 132]}, {\"cell\": \"10245\", \"bbox\": [7, 136, 30, 145]}, {\"cell\": \"chr3\", \"bbox\": [40, 136, 56, 145]}, {\"cell\": \"p14.1\", \"bbox\": [75, 136, 95, 145]}, {\"cell\": \"67,727,841\", \"bbox\": [130, 136, 166, 145]}, {\"cell\": \"69,101,769\", \"bbox\": [185, 136, 221, 145]}, {\"cell\": \"Loss\", \"bbox\": [240, 136, 256, 145]}, {\"cell\": \"1,373,928\", \"bbox\": [282, 136, 313, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 136, 350, 145]}, {\"cell\": \"25\", \"bbox\": [397, 136, 406, 145]}, {\"cell\": \"Unknown\", \"bbox\": [442, 136, 475, 145]}, {\"cell\": \"22348\", \"bbox\": [7, 149, 30, 159]}, {\"cell\": \"chr13\", \"bbox\": [40, 149, 59, 159]}, {\"cell\": \"q22.2\", \"bbox\": [75, 149, 95, 159]}, {\"cell\": \"74,989,699\", \"bbox\": [130, 149, 166, 159]}, {\"cell\": \"75,378,640\", \"bbox\": [185, 149, 221, 159]}, {\"cell\": \"Loss\", \"bbox\": [240, 149, 256, 159]}, {\"cell\": \"388,941\", \"bbox\": [284, 149, 311, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 149, 350, 159]}, {\"cell\": \"51\", \"bbox\": [397, 149, 406, 159]}, {\"cell\": \"De novo\", \"bbox\": [443, 149, 473, 159]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2909945_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL][EMPTY_CELL]
Step 1: Analysis of health and quality of health[EMPTY_CELL]
Step 2: Analysis of risk factors[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]
Step 3: Analysis of determinants of risk behaviours[EMPTY_CELL]
- importance of family environment
- importance of individual factors
Step 4: Intervention program development[EMPTY_CELL]
Choosing behaviour change techniques for the identified determinants
Pretesting of core components in five European countries
Step 5: Implementation of the UP4FUN intervention[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Step 1: Analysis of health and quality of health\", \"bbox\": [1, 4, 166, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 4, 451, 13]}, {\"cell\": \"Step 2: Analysis of risk factors\", \"bbox\": [1, 18, 107, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 18, 382, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 32, 444, 41]}, {\"cell\": \"Step 3: Analysis of determinants of risk behaviours\", \"bbox\": [1, 46, 180, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 46, 281, 55]}, {\"cell\": \"- importance of family environment\", \"bbox\": [226, 60, 338, 69]}, {\"cell\": \"- importance of individual factors\", \"bbox\": [226, 74, 331, 83]}, {\"cell\": \"Step 4: Intervention program development\", \"bbox\": [1, 88, 152, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 88, 484, 97]}, {\"cell\": \"Choosing behaviour change techniques for the identified determinants\", \"bbox\": [226, 102, 445, 111]}, {\"cell\": \"Pretesting of core components in five European countries\", \"bbox\": [226, 116, 404, 125]}, {\"cell\": \"Step 5: Implementation of the UP4FUN intervention\", \"bbox\": [1, 130, 183, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 130, 278, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 144, 278, 153]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3504538_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]48 h[EMPTY_CELL]72 h[EMPTY_CELL]
[EMPTY_CELL]Non-IL1IL-1Non-IL1IL-1
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]93.05 ± 4.2346.41 ± 6.04*93.87 ± 3.4426.52 ± 5.97*
[EMPTY_CELL]2.28 ± 1.7163.39 ± 11.43*4.62 ± 1.7270.73 ± 5.02*
[EMPTY_CELL]9.42 ± 2.431.36 ± 0.90*16.22 ± 7.620.85 ± 0.30*
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]121.04 ± 23.0348.54 ± 12.85*146.04 ± 11.9335.29 ± 8.54*
[EMPTY_CELL]1.91 ± 0.880.56 ± 0.14*1.72 ± 0.810.17 ± 0.07*
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]0.98 ± 0.072.03 ± 0.23*1.56 ± 0.182.94 ± .019*
[EMPTY_CELL]1.01 ± 0.030.57 ± 0.21*1.35 ± 0.090.34 ± 0.06*
[EMPTY_CELL]1.02 ± 0.130.37 ± 0.15*1.35 ± 0.100.15 ± 0.07*
[EMPTY_CELL]1.02 ± 0.110.10 ± 0.04*1.18 ± 0.120.05 ± 0.04*
[EMPTY_CELL]1.01 ± 0.060.43 ± 0.18*1.35 ± 0.100.17 ± 0.03*
[EMPTY_CELL]1.02 ± 0.110.15 ± 0.10*1.48 ± 0.140.03 ± 0.08*
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"48 h\", \"bbox\": [125, 5, 143, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"72 h\", \"bbox\": [318, 5, 336, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Non-IL1\", \"bbox\": [125, 27, 159, 36]}, {\"cell\": \"IL-1\", \"bbox\": [222, 27, 239, 36]}, {\"cell\": \"Non-IL1\", \"bbox\": [318, 27, 352, 36]}, {\"cell\": \"IL-1\", \"bbox\": [415, 27, 432, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 49, 71, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 59, 48, 69]}, {\"cell\": \"93.05 ± 4.23\", \"bbox\": [125, 59, 169, 69]}, {\"cell\": \"46.41 ± 6.04*\", \"bbox\": [222, 59, 269, 69]}, {\"cell\": \"93.87 ± 3.44\", \"bbox\": [318, 59, 362, 69]}, {\"cell\": \"26.52 ± 5.97*\", \"bbox\": [415, 59, 462, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 69, 56, 79]}, {\"cell\": \"2.28 ± 1.71\", \"bbox\": [125, 69, 165, 79]}, {\"cell\": \"63.39 ± 11.43*\", \"bbox\": [222, 69, 273, 79]}, {\"cell\": \"4.62 ± 1.72\", \"bbox\": [318, 69, 357, 79]}, {\"cell\": \"70.73 ± 5.02*\", \"bbox\": [415, 69, 462, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 79, 46, 89]}, {\"cell\": \"9.42 ± 2.43\", \"bbox\": [125, 79, 165, 89]}, {\"cell\": \"1.36 ± 0.90*\", \"bbox\": [222, 79, 265, 89]}, {\"cell\": \"16.22 ± 7.62\", \"bbox\": [318, 79, 362, 89]}, {\"cell\": \"0.85 ± 0.30*\", \"bbox\": [415, 79, 458, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 90, 102, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 100, 44, 110]}, {\"cell\": \"121.04 ± 23.03\", \"bbox\": [125, 100, 177, 110]}, {\"cell\": \"48.54 ± 12.85*\", \"bbox\": [222, 100, 273, 110]}, {\"cell\": \"146.04 ± 11.93\", \"bbox\": [318, 100, 370, 110]}, {\"cell\": \"35.29 ± 8.54*\", \"bbox\": [415, 100, 462, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 99, 51, 122]}, {\"cell\": \"1.91 ± 0.88\", \"bbox\": [125, 110, 165, 120]}, {\"cell\": \"0.56 ± 0.14*\", \"bbox\": [222, 110, 265, 120]}, {\"cell\": \"1.72 ± 0.81\", \"bbox\": [318, 110, 357, 120]}, {\"cell\": \"0.17 ± 0.07*\", \"bbox\": [415, 110, 458, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 121, 102, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 131, 30, 139]}, {\"cell\": \"0.98 ± 0.07\", \"bbox\": [125, 131, 165, 141]}, {\"cell\": \"2.03 ± 0.23*\", \"bbox\": [222, 131, 265, 141]}, {\"cell\": \"1.56 ± 0.18\", \"bbox\": [318, 131, 357, 141]}, {\"cell\": \"2.94 ± .019*\", \"bbox\": [414, 131, 458, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 141, 29, 149]}, {\"cell\": \"1.01 ± 0.03\", \"bbox\": [125, 141, 165, 151]}, {\"cell\": \"0.57 ± 0.21*\", \"bbox\": [222, 141, 265, 151]}, {\"cell\": \"1.35 ± 0.09\", \"bbox\": [318, 141, 357, 151]}, {\"cell\": \"0.34 ± 0.06*\", \"bbox\": [415, 141, 458, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 152, 27, 159]}, {\"cell\": \"1.02 ± 0.13\", \"bbox\": [125, 151, 165, 161]}, {\"cell\": \"0.37 ± 0.15*\", \"bbox\": [222, 151, 265, 161]}, {\"cell\": \"1.35 ± 0.10\", \"bbox\": [318, 151, 357, 161]}, {\"cell\": \"0.15 ± 0.07*\", \"bbox\": [415, 151, 458, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 162, 27, 170]}, {\"cell\": \"1.02 ± 0.11\", \"bbox\": [125, 162, 165, 171]}, {\"cell\": \"0.10 ± 0.04*\", \"bbox\": [222, 162, 265, 171]}, {\"cell\": \"1.18 ± 0.12\", \"bbox\": [318, 162, 357, 171]}, {\"cell\": \"0.05 ± 0.04*\", \"bbox\": [415, 162, 458, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 172, 21, 180]}, {\"cell\": \"1.01 ± 0.06\", \"bbox\": [125, 172, 165, 182]}, {\"cell\": \"0.43 ± 0.18*\", \"bbox\": [222, 172, 265, 182]}, {\"cell\": \"1.35 ± 0.10\", \"bbox\": [318, 172, 357, 182]}, {\"cell\": \"0.17 ± 0.03*\", \"bbox\": [415, 172, 458, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 182, 33, 190]}, {\"cell\": \"1.02 ± 0.11\", \"bbox\": [125, 182, 165, 192]}, {\"cell\": \"0.15 ± 0.10*\", \"bbox\": [222, 182, 265, 192]}, {\"cell\": \"1.48 ± 0.14\", \"bbox\": [318, 182, 357, 192]}, {\"cell\": \"0.03 ± 0.08*\", \"bbox\": [415, 182, 458, 192]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2804682_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Gene setNumber of genesEnrichment ScoreP-valueQvalueRank
Cilia-microtubule function[EMPTY_CELL]2.052.1 × 10−80.011
Reactome loss of nlp from mitotic centrosomes[EMPTY_CELL]1.933.1 × 10−40.112
Chromosome segregation[EMPTY_CELL]1.841.8 × 10−30.373
Reactome recruitment of mitotic centrosome proteins and complexes[EMPTY_CELL]1.836.7 × 10−40.344
Reactome glutathione conjugation[EMPTY_CELL]1.822.2 × 10−30.345
Response to light stimulus[EMPTY_CELL]1.812.1 × 10−30.336
Respiratory gaseous exchange[EMPTY_CELL]1.808.3 × 10−40.317
Response to radiation[EMPTY_CELL]1.782.8 × 10−30.378
Kegg abc transporters[EMPTY_CELL]1.782.1 × 10−30.369
Response to ultraviolet[EMPTY_CELL]1.766.1 × 10−30.4110
Photoreceptor cell maintenance[EMPTY_CELL]1.753.8 × 10−30.4511
Chromosome organization and biogenesis[EMPTY_CELL]1.741.7 × 10−30.4612
Regulation of endocytosis[EMPTY_CELL]1.724.4 × 10−30.5513
Reactome mitotic g2 g2 m phases[EMPTY_CELL]1.724.1 × 10−30.5414
Membrane fusion[EMPTY_CELL]1.719.4 × 10−30.5215
\", \"cells\": [{\"cell\": \"Gene set\", \"bbox\": [2, 2, 34, 11]}, {\"cell\": \"Number of genes\", \"bbox\": [247, 2, 309, 11]}, {\"cell\": \"Enrichment Score\", \"bbox\": [320, 2, 382, 11]}, {\"cell\": \"P-value\", \"bbox\": [394, 2, 421, 11]}, {\"cell\": \"Qvalue\", \"bbox\": [445, 2, 473, 11]}, {\"cell\": \"Rank\", \"bbox\": [484, 2, 504, 11]}, {\"cell\": \"Cilia-microtubule function\", \"bbox\": [2, 13, 90, 23]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [277, 13, 283, 23]}, {\"cell\": \"2.05\", \"bbox\": [342, 13, 360, 23]}, {\"cell\": \"2.1 × 10−8\", \"bbox\": [394, 12, 432, 23]}, {\"cell\": \"0.01\", \"bbox\": [450, 13, 466, 23]}, {\"cell\": \"1\", \"bbox\": [494, 13, 499, 23]}, {\"cell\": \"Reactome loss of nlp from mitotic centrosomes\", \"bbox\": [2, 23, 163, 32]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [273, 23, 283, 32]}, {\"cell\": \"1.93\", \"bbox\": [344, 23, 359, 32]}, {\"cell\": \"3.1 × 10−4\", \"bbox\": [394, 21, 432, 32]}, {\"cell\": \"0.11\", \"bbox\": [450, 23, 464, 32]}, {\"cell\": \"2\", \"bbox\": [493, 23, 499, 32]}, {\"cell\": \"Chromosome segregation\", \"bbox\": [2, 32, 89, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [274, 32, 283, 41]}, {\"cell\": \"1.84\", \"bbox\": [344, 32, 360, 41]}, {\"cell\": \"1.8 × 10−3\", \"bbox\": [394, 30, 432, 41]}, {\"cell\": \"0.37\", \"bbox\": [450, 32, 467, 41]}, {\"cell\": \"3\", \"bbox\": [493, 32, 499, 41]}, {\"cell\": \"Reactome recruitment of mitotic centrosome proteins and complexes\", \"bbox\": [2, 42, 236, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [274, 42, 283, 51]}, {\"cell\": \"1.83\", \"bbox\": [344, 42, 359, 51]}, {\"cell\": \"6.7 × 10−4\", \"bbox\": [394, 40, 433, 51]}, {\"cell\": \"0.34\", \"bbox\": [450, 42, 468, 51]}, {\"cell\": \"4\", \"bbox\": [492, 42, 499, 51]}, {\"cell\": \"Reactome glutathione conjugation\", \"bbox\": [2, 51, 117, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [274, 51, 283, 60]}, {\"cell\": \"1.82\", \"bbox\": [344, 51, 359, 60]}, {\"cell\": \"2.2 × 10−3\", \"bbox\": [394, 49, 433, 60]}, {\"cell\": \"0.34\", \"bbox\": [450, 51, 468, 60]}, {\"cell\": \"5\", \"bbox\": [493, 51, 499, 60]}, {\"cell\": \"Response to light stimulus\", \"bbox\": [2, 61, 92, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [273, 61, 283, 70]}, {\"cell\": \"1.81\", \"bbox\": [344, 61, 358, 70]}, {\"cell\": \"2.1 × 10−3\", \"bbox\": [394, 59, 431, 70]}, {\"cell\": \"0.33\", \"bbox\": [450, 61, 467, 70]}, {\"cell\": \"6\", \"bbox\": [492, 61, 499, 70]}, {\"cell\": \"Respiratory gaseous exchange\", \"bbox\": [2, 70, 104, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [277, 70, 283, 79]}, {\"cell\": \"1.80\", \"bbox\": [344, 70, 360, 79]}, {\"cell\": \"8.3 × 10−4\", \"bbox\": [394, 68, 433, 79]}, {\"cell\": \"0.31\", \"bbox\": [450, 70, 466, 79]}, {\"cell\": \"7\", \"bbox\": [493, 70, 499, 79]}, {\"cell\": \"Response to radiation\", \"bbox\": [2, 80, 76, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [273, 80, 283, 89]}, {\"cell\": \"1.78\", \"bbox\": [344, 80, 359, 89]}, {\"cell\": \"2.8 × 10−3\", \"bbox\": [394, 78, 433, 89]}, {\"cell\": \"0.37\", \"bbox\": [450, 80, 467, 89]}, {\"cell\": \"8\", \"bbox\": [492, 80, 499, 89]}, {\"cell\": \"Kegg abc transporters\", \"bbox\": [2, 89, 77, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [272, 89, 283, 98]}, {\"cell\": \"1.78\", \"bbox\": [344, 89, 359, 98]}, {\"cell\": \"2.1 × 10−3\", \"bbox\": [394, 87, 431, 98]}, {\"cell\": \"0.36\", \"bbox\": [450, 89, 467, 98]}, {\"cell\": \"9\", \"bbox\": [492, 89, 499, 98]}, {\"cell\": \"Response to ultraviolet\", \"bbox\": [2, 98, 80, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [274, 98, 283, 108]}, {\"cell\": \"1.76\", \"bbox\": [344, 98, 359, 108]}, {\"cell\": \"6.1 × 10−3\", \"bbox\": [394, 97, 432, 108]}, {\"cell\": \"0.41\", \"bbox\": [450, 98, 466, 108]}, {\"cell\": \"10\", \"bbox\": [489, 98, 499, 108]}, {\"cell\": \"Photoreceptor cell maintenance\", \"bbox\": [2, 108, 109, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [277, 108, 283, 117]}, {\"cell\": \"1.75\", \"bbox\": [344, 108, 359, 117]}, {\"cell\": \"3.8 × 10−3\", \"bbox\": [394, 106, 433, 117]}, {\"cell\": \"0.45\", \"bbox\": [450, 108, 468, 117]}, {\"cell\": \"11\", \"bbox\": [491, 108, 499, 117]}, {\"cell\": \"Chromosome organization and biogenesis\", \"bbox\": [2, 117, 144, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [274, 117, 283, 127]}, {\"cell\": \"1.74\", \"bbox\": [344, 117, 359, 127]}, {\"cell\": \"1.7 × 10−3\", \"bbox\": [394, 116, 431, 127]}, {\"cell\": \"0.46\", \"bbox\": [450, 117, 468, 127]}, {\"cell\": \"12\", \"bbox\": [490, 117, 499, 127]}, {\"cell\": \"Regulation of endocytosis\", \"bbox\": [2, 127, 89, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [277, 127, 283, 136]}, {\"cell\": \"1.72\", \"bbox\": [344, 127, 359, 136]}, {\"cell\": \"4.4 × 10−3\", \"bbox\": [394, 125, 434, 136]}, {\"cell\": \"0.55\", \"bbox\": [450, 127, 467, 136]}, {\"cell\": \"13\", \"bbox\": [490, 127, 499, 136]}, {\"cell\": \"Reactome mitotic g2 g2 m phases\", \"bbox\": [2, 136, 118, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [273, 136, 283, 146]}, {\"cell\": \"1.72\", \"bbox\": [344, 136, 359, 146]}, {\"cell\": \"4.1 × 10−3\", \"bbox\": [394, 135, 432, 146]}, {\"cell\": \"0.54\", \"bbox\": [450, 136, 468, 146]}, {\"cell\": \"14\", \"bbox\": [489, 136, 499, 146]}, {\"cell\": \"Membrane fusion\", \"bbox\": [2, 146, 62, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [276, 146, 283, 155]}, {\"cell\": \"1.71\", \"bbox\": [344, 146, 358, 155]}, {\"cell\": \"9.4 × 10−3\", \"bbox\": [394, 144, 433, 155]}, {\"cell\": \"0.52\", \"bbox\": [450, 146, 467, 155]}, {\"cell\": \"15\", \"bbox\": [490, 146, 499, 155]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5187424_002_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Preliminary testsStudy I (N = 87)Study II (N = 228)
[EMPTY_CELL]dfTsreffectsizedftsreffectsize
[EMPTY_CELL]2250.720.05[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]223−1.050.07[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]223−1.88−0.12[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]219−0.78−0.05[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]2251.890.12[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]223−1.69−0.11[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]2230.280.02[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]2191.250.08[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]
[EMPTY_CELL]2250.860.06841.260.14
[EMPTY_CELL]223−0.40−0.0382−1.08−0.11
[EMPTY_CELL]2231.520.10820.920.10
[EMPTY_CELL]2192.190.14*78−0.25−0.03
[EMPTY_CELL]401.000.1660.120.05
[EMPTY_CELL]550.400.05101.730.47
[EMPTY_CELL]62−1.66−0.20230.210.04
[EMPTY_CELL]592.340.28*362.040.31*
[EMPTY_CELL]
[EMPTY_CELL]572.220.25*341.890.29
\", \"cells\": [{\"cell\": \"Preliminary tests\", \"bbox\": [1, 9, 43, 29]}, {\"cell\": \"Study I (N = 87)\", \"bbox\": [80, 9, 139, 18]}, {\"cell\": \"Study II (N = 228)\", \"bbox\": [175, 9, 240, 18]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"df\", \"bbox\": [63, 38, 73, 45]}, {\"cell\": \"T\", \"bbox\": [88, 38, 95, 45]}, {\"cell\": \"sreffectsize\", \"bbox\": [120, 38, 155, 48]}, {\"cell\": \"df\", \"bbox\": [165, 38, 175, 45]}, {\"cell\": \"t\", \"bbox\": [188, 38, 193, 45]}, {\"cell\": \"sreffectsize\", \"bbox\": [220, 38, 255, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 57, 23, 65]}, {\"cell\": \"225\", \"bbox\": [63, 57, 78, 66]}, {\"cell\": \"0.72\", \"bbox\": [94, 57, 110, 66]}, {\"cell\": \"0.05\", \"bbox\": [126, 57, 143, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 68, 47, 77]}, {\"cell\": \"223\", \"bbox\": [63, 68, 78, 77]}, {\"cell\": \"−1.05\", \"bbox\": [88, 68, 110, 77]}, {\"cell\": \"0.07\", \"bbox\": [126, 68, 143, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 80, 46, 89]}, {\"cell\": \"223\", \"bbox\": [63, 80, 78, 89]}, {\"cell\": \"−1.88\", \"bbox\": [88, 80, 110, 89]}, {\"cell\": \"−0.12\", \"bbox\": [120, 80, 143, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 91, 47, 111]}, {\"cell\": \"219\", \"bbox\": [63, 91, 78, 100]}, {\"cell\": \"−0.78\", \"bbox\": [88, 91, 110, 100]}, {\"cell\": \"−0.05\", \"bbox\": [120, 91, 143, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 114, 36, 121]}, 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\"[EMPTY_CELL]\", \"bbox\": [1, 169, 44, 188]}, {\"cell\": \"219\", \"bbox\": [63, 169, 78, 178]}, {\"cell\": \"1.25\", \"bbox\": [94, 169, 110, 178]}, {\"cell\": \"0.08\", \"bbox\": [126, 169, 143, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 191, 141, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 202, 17, 211]}, {\"cell\": \"225\", \"bbox\": [63, 202, 78, 211]}, {\"cell\": \"0.86\", \"bbox\": [94, 202, 110, 211]}, {\"cell\": \"0.06\", \"bbox\": [126, 202, 143, 211]}, {\"cell\": \"84\", \"bbox\": [165, 202, 176, 211]}, {\"cell\": \"1.26\", \"bbox\": [194, 202, 210, 211]}, {\"cell\": \"0.14\", \"bbox\": [226, 202, 242, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 214, 41, 223]}, {\"cell\": \"223\", \"bbox\": [63, 214, 78, 223]}, {\"cell\": \"−0.40\", \"bbox\": [88, 214, 110, 223]}, {\"cell\": \"−0.03\", \"bbox\": [120, 214, 143, 223]}, {\"cell\": \"82\", \"bbox\": [165, 214, 176, 223]}, {\"cell\": \"−1.08\", \"bbox\": [188, 214, 210, 223]}, {\"cell\": \"−0.11\", \"bbox\": [220, 214, 242, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 225, 40, 234]}, {\"cell\": \"223\", \"bbox\": [63, 225, 78, 234]}, {\"cell\": \"1.52\", \"bbox\": [94, 225, 110, 234]}, {\"cell\": \"0.10\", \"bbox\": [126, 225, 142, 234]}, {\"cell\": \"82\", \"bbox\": [165, 225, 176, 234]}, {\"cell\": \"0.92\", \"bbox\": [194, 225, 210, 234]}, {\"cell\": \"0.10\", \"bbox\": [226, 225, 242, 234]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 237, 49, 256]}, {\"cell\": \"219\", \"bbox\": [63, 237, 78, 246]}, {\"cell\": \"2.19\", \"bbox\": [94, 237, 110, 246]}, {\"cell\": \"0.14*\", \"bbox\": [126, 237, 146, 246]}, {\"cell\": \"78\", \"bbox\": [165, 237, 176, 246]}, {\"cell\": \"−0.25\", \"bbox\": [188, 237, 210, 246]}, {\"cell\": \"−0.03\", \"bbox\": [220, 237, 243, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 259, 38, 278]}, {\"cell\": \"40\", \"bbox\": [63, 259, 74, 268]}, {\"cell\": \"1.00\", \"bbox\": [94, 259, 111, 268]}, {\"cell\": \"0.16\", \"bbox\": [126, 259, 143, 268]}, {\"cell\": \"6\", \"bbox\": [165, 259, 172, 268]}, {\"cell\": \"0.12\", \"bbox\": [194, 259, 210, 268]}, {\"cell\": \"0.05\", \"bbox\": [226, 259, 243, 268]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 281, 41, 300]}, {\"cell\": \"55\", \"bbox\": [63, 281, 74, 290]}, {\"cell\": \"0.40\", \"bbox\": [94, 281, 110, 290]}, {\"cell\": \"0.05\", \"bbox\": [126, 281, 143, 290]}, {\"cell\": \"10\", \"bbox\": [165, 281, 175, 290]}, {\"cell\": \"1.73\", \"bbox\": [194, 281, 210, 290]}, {\"cell\": \"0.47\", \"bbox\": [226, 281, 243, 290]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 303, 52, 322]}, {\"cell\": \"62\", \"bbox\": [63, 303, 74, 312]}, {\"cell\": \"−1.66\", \"bbox\": [88, 303, 110, 312]}, {\"cell\": \"−0.20\", \"bbox\": [120, 303, 143, 312]}, {\"cell\": \"23\", \"bbox\": [165, 303, 176, 312]}, {\"cell\": \"0.21\", \"bbox\": [194, 303, 210, 312]}, {\"cell\": \"0.04\", \"bbox\": [226, 303, 243, 312]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 325, 50, 344]}, {\"cell\": \"59\", \"bbox\": [63, 325, 74, 334]}, {\"cell\": \"2.34\", \"bbox\": [94, 325, 110, 334]}, {\"cell\": \"0.28*\", \"bbox\": [126, 325, 147, 334]}, {\"cell\": \"36\", \"bbox\": [165, 325, 176, 334]}, {\"cell\": \"2.04\", \"bbox\": [194, 325, 210, 334]}, {\"cell\": \"0.31*\", \"bbox\": [226, 325, 246, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 347, 71, 356]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 358, 50, 378]}, {\"cell\": \"57\", \"bbox\": [63, 358, 74, 367]}, {\"cell\": \"2.22\", \"bbox\": [94, 358, 110, 367]}, {\"cell\": \"0.25*\", \"bbox\": [126, 358, 147, 367]}, {\"cell\": \"34\", \"bbox\": [165, 358, 176, 367]}, {\"cell\": \"1.89\", \"bbox\": [194, 358, 210, 367]}, {\"cell\": \"0.29\", \"bbox\": [226, 358, 243, 367]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3826084_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Toxin GroupProven to Be Toxic to Humans?Number of Analogs Monitored [1]Number of Analogs not Monitored #
Okadaic acidYES[EMPTY_CELL]0
AzaspiracidYES[EMPTY_CELL]40
Domoic acidYES[EMPTY_CELL]0 (traces of others)
SaxitoxinYES[EMPTY_CELL]30
BevetoxinYES[EMPTY_CELL]Polar compounds are undetected due to poor extraction
CiguatoxinYES[EMPTY_CELL]15
TetrodotoxinYES[EMPTY_CELL]15
PalytoxinYES[EMPTY_CELL]Unkown. In theory many billions [17].
Cyclic iminesNO *[EMPTY_CELL]40
YessotoxinNO **[EMPTY_CELL]50
PectenotoxinNO[EMPTY_CELL]15
\", \"cells\": [{\"cell\": \"Toxin Group\", \"bbox\": [11, 9, 59, 19]}, {\"cell\": \"Proven to Be Toxic to Humans?\", \"bbox\": [90, 5, 159, 24]}, {\"cell\": \"Number of Analogs Monitored [1]\", \"bbox\": [198, 5, 272, 24]}, {\"cell\": \"Number of Analogs not Monitored #\", \"bbox\": [319, 5, 393, 24]}, {\"cell\": \"Okadaic acid\", \"bbox\": [11, 33, 59, 43]}, {\"cell\": \"YES\", \"bbox\": [116, 33, 132, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 28, 273, 48]}, {\"cell\": \"0\", \"bbox\": [353, 33, 359, 43]}, {\"cell\": \"Azaspiracid\", \"bbox\": [13, 47, 57, 57]}, {\"cell\": \"YES\", \"bbox\": [116, 47, 132, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 47, 238, 57]}, {\"cell\": \"40\", \"bbox\": [351, 47, 361, 57]}, {\"cell\": \"Domoic acid\", \"bbox\": [12, 57, 58, 67]}, {\"cell\": \"YES\", \"bbox\": [116, 57, 132, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 57, 238, 67]}, {\"cell\": \"0 (traces of others)\", \"bbox\": [323, 57, 389, 67]}, {\"cell\": \"Saxitoxin\", \"bbox\": [18, 66, 52, 77]}, {\"cell\": \"YES\", \"bbox\": [116, 66, 132, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [230, 66, 240, 77]}, {\"cell\": \"30\", \"bbox\": [351, 66, 361, 77]}, {\"cell\": \"Bevetoxin\", \"bbox\": [17, 81, 54, 91]}, {\"cell\": \"YES\", \"bbox\": [116, 81, 132, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [184, 81, 285, 91]}, {\"cell\": \"Polar compounds are undetected due to poor extraction\", \"bbox\": [297, 76, 415, 96]}, {\"cell\": \"Ciguatoxin\", \"bbox\": [15, 95, 56, 105]}, {\"cell\": \"YES\", \"bbox\": [116, 95, 132, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [204, 95, 265, 105]}, {\"cell\": \"15\", \"bbox\": [351, 95, 361, 105]}, {\"cell\": \"Tetrodotoxin\", \"bbox\": [12, 105, 59, 115]}, {\"cell\": \"YES\", \"bbox\": [116, 105, 132, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 105, 238, 115]}, {\"cell\": \"15\", \"bbox\": [351, 105, 361, 115]}, {\"cell\": \"Palytoxin\", \"bbox\": [17, 119, 53, 129]}, {\"cell\": \"YES\", \"bbox\": [116, 119, 132, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 119, 238, 129]}, {\"cell\": \"Unkown. In theory many billions [17].\", \"bbox\": [296, 114, 416, 134]}, {\"cell\": \"Cyclic imines\", \"bbox\": [11, 133, 60, 143]}, {\"cell\": \"NO *\", \"bbox\": [114, 133, 134, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 133, 238, 143]}, {\"cell\": \"40\", \"bbox\": [351, 133, 361, 143]}, {\"cell\": \"Yessotoxin\", \"bbox\": [15, 143, 55, 153]}, {\"cell\": \"NO **\", \"bbox\": [113, 143, 136, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 143, 238, 153]}, {\"cell\": \"50\", \"bbox\": [351, 143, 361, 153]}, {\"cell\": \"Pectenotoxin\", \"bbox\": [11, 152, 59, 162]}, {\"cell\": \"NO\", \"bbox\": [117, 152, 132, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 152, 238, 162]}, {\"cell\": \"15\", \"bbox\": [351, 152, 361, 162]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4963841_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Body image perception, n (%)Adjusteda OR (95 % CI)P-value
[EMPTY_CELL]CorrectUnderestimated
Exercise[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Daily[EMPTY_CELL]63 (65.6)1.28 (0.76–2.16)0.346
Sometimes[EMPTY_CELL]10 (10.4)1.05 (0.47–2.35)0.903
Never[EMPTY_CELL]23 (24.0)1.00[EMPTY_CELL]
Snacking after dinner[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Yes[EMPTY_CELL]56 (57.1)1.44 (0.93–2.23)0.100
No[EMPTY_CELL]42 (42.9)1.00[EMPTY_CELL]
Skipping breakfast[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
No[EMPTY_CELL]91 (91.9)1.00[EMPTY_CELL]
Yes[EMPTY_CELL]8 (8.1)1.33 (0.60–2.98)0.485
Wakeup time[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Before 6:30[EMPTY_CELL]45 (46.4)1.00[EMPTY_CELL]
6:30–6:59[EMPTY_CELL]17 (17.5)1.36 (0.74–2.51)0.329
After 7:00[EMPTY_CELL]35 (36.1)1.62 (1.00–2.64)0.052
Bedtime[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Before 22:00[EMPTY_CELL]9 (9.5)1.00[EMPTY_CELL]
22:00–22:59[EMPTY_CELL]46 (48.4)0.73 (0.33–1.63)0.445
After 23:00[EMPTY_CELL]40 (42.1)0.72 (0.32–1.63)0.435
Hours of sleep[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
< 8[EMPTY_CELL]22 (23.4)1.00[EMPTY_CELL]
8–9[EMPTY_CELL]54 (57.4)1.44 (0.85–2.46)0.179
9+[EMPTY_CELL]18 (19.1)1.85 (0.93–3.67)0.081
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Body image perception, n (%)\", \"bbox\": [63, 4, 120, 22]}, {\"cell\": \"Adjusteda OR (95 % CI)\", \"bbox\": [157, 2, 199, 22]}, {\"cell\": \"P-value\", \"bbox\": [212, 4, 236, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Correct\", \"bbox\": [63, 26, 88, 36]}, {\"cell\": \"Underestimated\", \"bbox\": [99, 26, 153, 36]}, {\"cell\": \"Exercise\", \"bbox\": [1, 39, 28, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Daily\", \"bbox\": [16, 53, 34, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [63, 53, 96, 63]}, {\"cell\": \"63 (65.6)\", \"bbox\": [112, 53, 141, 63]}, {\"cell\": \"1.28 (0.76–2.16)\", \"bbox\": [157, 53, 208, 63]}, {\"cell\": \"0.346\", \"bbox\": [215, 53, 233, 63]}, {\"cell\": \"Sometimes\", \"bbox\": [16, 67, 54, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [67, 67, 96, 77]}, {\"cell\": \"10 (10.4)\", \"bbox\": [112, 67, 141, 77]}, {\"cell\": \"1.05 (0.47–2.35)\", \"bbox\": [157, 67, 208, 77]}, {\"cell\": \"0.903\", \"bbox\": [215, 67, 233, 77]}, {\"cell\": \"Never\", \"bbox\": [16, 81, 37, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [63, 81, 96, 91]}, {\"cell\": \"23 (24.0)\", \"bbox\": [112, 81, 141, 91]}, {\"cell\": \"1.00\", \"bbox\": [157, 81, 171, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Snacking after dinner\", \"bbox\": [1, 95, 48, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Yes\", \"bbox\": [16, 118, 29, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [63, 118, 96, 128]}, {\"cell\": \"56 (57.1)\", \"bbox\": [112, 118, 141, 128]}, {\"cell\": \"1.44 (0.93–2.23)\", \"bbox\": [157, 118, 208, 128]}, {\"cell\": \"0.100\", \"bbox\": [215, 118, 233, 128]}, {\"cell\": \"No\", \"bbox\": [16, 132, 28, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [63, 132, 96, 142]}, {\"cell\": \"42 (42.9)\", \"bbox\": [112, 132, 141, 142]}, {\"cell\": \"1.00\", \"bbox\": [157, 132, 171, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Skipping breakfast\", \"bbox\": [1, 146, 31, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No\", \"bbox\": [16, 169, 28, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [63, 169, 96, 179]}, {\"cell\": \"91 (91.9)\", \"bbox\": [112, 169, 141, 179]}, {\"cell\": \"1.00\", \"bbox\": [157, 169, 171, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Yes\", \"bbox\": [16, 183, 29, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [70, 183, 96, 193]}, {\"cell\": \"8 (8.1)\", \"bbox\": [119, 183, 141, 193]}, {\"cell\": \"1.33 (0.60–2.98)\", \"bbox\": [157, 183, 208, 193]}, {\"cell\": \"0.485\", \"bbox\": [215, 183, 233, 193]}, {\"cell\": \"Wakeup time\", \"bbox\": [1, 197, 45, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Before 6:30\", \"bbox\": [16, 211, 54, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [63, 211, 96, 221]}, {\"cell\": \"45 (46.4)\", \"bbox\": [112, 211, 141, 221]}, {\"cell\": \"1.00\", \"bbox\": [157, 211, 171, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"6:30–6:59\", \"bbox\": [16, 225, 48, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [67, 225, 96, 235]}, {\"cell\": \"17 (17.5)\", \"bbox\": [112, 225, 141, 235]}, {\"cell\": \"1.36 (0.74–2.51)\", \"bbox\": [157, 225, 208, 235]}, {\"cell\": \"0.329\", \"bbox\": [215, 225, 233, 235]}, {\"cell\": \"After 7:00\", \"bbox\": [16, 239, 49, 249]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [63, 239, 96, 249]}, {\"cell\": \"35 (36.1)\", \"bbox\": [112, 239, 141, 249]}, {\"cell\": \"1.62 (1.00–2.64)\", \"bbox\": [157, 239, 208, 249]}, {\"cell\": \"0.052\", \"bbox\": [215, 239, 233, 249]}, {\"cell\": \"Bedtime\", \"bbox\": [1, 253, 29, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Before 22:00\", \"bbox\": [16, 267, 58, 277]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [70, 267, 96, 277]}, {\"cell\": \"9 (9.5)\", \"bbox\": [119, 267, 141, 277]}, {\"cell\": \"1.00\", \"bbox\": [157, 267, 171, 277]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"22:00–22:59\", \"bbox\": [16, 281, 56, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [63, 281, 96, 291]}, {\"cell\": \"46 (48.4)\", \"bbox\": [112, 281, 141, 291]}, {\"cell\": \"0.73 (0.33–1.63)\", \"bbox\": [157, 281, 208, 291]}, {\"cell\": \"0.445\", \"bbox\": [215, 281, 233, 291]}, {\"cell\": \"After 23:00\", \"bbox\": [16, 295, 53, 305]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [63, 295, 96, 305]}, {\"cell\": \"40 (42.1)\", \"bbox\": [112, 295, 141, 305]}, {\"cell\": \"0.72 (0.32–1.63)\", \"bbox\": [157, 295, 208, 305]}, {\"cell\": \"0.435\", \"bbox\": [215, 295, 233, 305]}, {\"cell\": \"Hours of sleep\", \"bbox\": [1, 309, 49, 319]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"< 8\", \"bbox\": [18, 323, 30, 333]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [63, 323, 96, 333]}, {\"cell\": \"22 (23.4)\", \"bbox\": [112, 323, 141, 333]}, {\"cell\": \"1.00\", \"bbox\": [157, 323, 171, 333]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"8–9\", \"bbox\": [16, 337, 30, 347]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [63, 337, 96, 347]}, {\"cell\": \"54 (57.4)\", \"bbox\": [112, 337, 141, 347]}, {\"cell\": \"1.44 (0.85–2.46)\", \"bbox\": [157, 337, 208, 347]}, {\"cell\": \"0.179\", \"bbox\": [215, 337, 233, 347]}, {\"cell\": \"9+\", \"bbox\": [16, 351, 27, 361]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [67, 351, 96, 361]}, {\"cell\": \"18 (19.1)\", \"bbox\": [112, 351, 141, 361]}, {\"cell\": \"1.85 (0.93–3.67)\", \"bbox\": [157, 351, 208, 361]}, {\"cell\": \"0.081\", \"bbox\": [215, 351, 233, 361]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4507316_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]PAEE (kJ/kg/d)2p-valueLight PA (min/d)p-valueModerate PA (min/d)p-valueVigorous PA (min/d)p-valueSedentary time (min/d)p-value
Boys[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Ref: Weekday90.5 (87.1 to 93.9)[EMPTY_CELL]575.3 (559.8 to 590.8)[EMPTY_CELL]52.7 (46.7 to 59.6)[EMPTY_CELL]5.0 (3.9 to 6.3)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Saturday77.8 (73.3 to 82.4)<0.001484.2 (466.1 to 502.4)<0.00131.6 (26.7 to 37.3)<0.0012.7 (1.9 to 3.6)<0.001[EMPTY_CELL]<0.001
Sunday74.2 (69.7 to 78.6)<0.001468.2 (450.2 to 486.2)<0.00121.4 (18.1 to 25.2)1<0.0012.4 (1.7 to 3.2)<0.001[EMPTY_CELL]<0.001
Girls[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Ref: Weekday69.1 (65.9 to 72.2)[EMPTY_CELL]533.0 (517.0 to 549.0)[EMPTY_CELL]28.0 (24.1 to 32.5)[EMPTY_CELL]0.9 (0.7 to 1.1)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Saturday70.3 (66.4 to 74.2)0.517510.3 (491.6 to 529.0)0.00516.0 (13.1 to 19.4)<0.0010.8 (0.6 to 1.0)0.329[EMPTY_CELL]0.014
Sunday55.4 (51.6 to 59.3)1<0.001444.4 (425.7 to 463.2)1<0.0019.2 (7.5 to 11.2)1<0.0010.5 (0.4 to 0.7)2<0.001[EMPTY_CELL]0.036
School term[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Ref: Summer76.0 (72.4 to 79.6)[EMPTY_CELL]526.2 (508.6 to 543.8)[EMPTY_CELL]29.2 (25.5 to 33.5)[EMPTY_CELL]1.5 (1.2 to 1.9)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Autumn72.7 (67.3 to 78.0)0.310520.5 (494.0 to 547.0)0.72621.3 (17.4 to 26.2)0.0121.7 (1.2 to 2.4)0.619[EMPTY_CELL]0.481
Spring70.7 (66.0 to 75.3)0.068490.5 (467.9 to 513.2)0.01223.1 (19.3 to 27.7)0.0421.3 (1.0 to 1.7)0.326[EMPTY_CELL]0.010
Area-level SES[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Ref: Low73.0 (68.2 to 77.7)[EMPTY_CELL]499.7 (477.0 to 522.3)[EMPTY_CELL]23.1 (18.8 to 28.4)[EMPTY_CELL]1.4 (1.0 to 2.0)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Middle73.9 (69.9 to 77.9)0.740530.1 (511.1 to 549.2)0.02227.2 (23.0 to 32.3)0.2081.5 (1.1 to 1.9)0.873[EMPTY_CELL]0.042
High73.9 (71.0 to 76.8)0.716513.6 (499.5 to 527.6)0.23825.4 (22.6 to 28.5)0.4121.5 (1.3 to 1.9)0.623[EMPTY_CELL]0.393
Body fat status3[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Ref: Normal73.9 (71.3 to 76.4)[EMPTY_CELL]515.3 (502.7 to 527.9)[EMPTY_CELL]25.5 (23.1 to 28.1)[EMPTY_CELL]1.6 (1.3 to 1.8)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Overfat72.2 (66.5 to 77.8)0.539512.6 (488.3 to 536.9)0.81624.4 (18.9 to 31.5)0.7341.0 (0.7 to 1.5)0.022[EMPTY_CELL]0.596
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"PAEE (kJ/kg/d)2\", \"bbox\": [68, 3, 121, 14]}, {\"cell\": \"p-value\", \"bbox\": [134, 4, 160, 14]}, {\"cell\": \"Light PA (min/d)\", \"bbox\": [178, 4, 234, 14]}, {\"cell\": \"p-value\", \"bbox\": [251, 4, 279, 14]}, {\"cell\": \"Moderate PA (min/d)\", \"bbox\": [288, 4, 363, 14]}, {\"cell\": \"p-value\", \"bbox\": [372, 4, 399, 14]}, {\"cell\": \"Vigorous PA (min/d)\", \"bbox\": [408, 4, 481, 14]}, {\"cell\": \"p-value\", \"bbox\": [490, 4, 517, 14]}, {\"cell\": \"Sedentary time (min/d)\", \"bbox\": [526, 4, 609, 14]}, {\"cell\": \"p-value\", \"bbox\": [618, 4, 645, 14]}, {\"cell\": \"Boys\", \"bbox\": [1, 17, 17, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ref: Weekday\", \"bbox\": [10, 31, 55, 41]}, {\"cell\": \"90.5 (87.1 to 93.9)\", \"bbox\": [65, 31, 123, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"575.3 (559.8 to 590.8)\", \"bbox\": [171, 31, 241, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"52.7 (46.7 to 59.6)\", \"bbox\": [296, 31, 354, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"5.0 (3.9 to 6.3)\", \"bbox\": [421, 31, 468, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [533, 31, 603, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Saturday\", \"bbox\": [10, 45, 40, 55]}, {\"cell\": \"77.8 (73.3 to 82.4)\", \"bbox\": [65, 45, 124, 55]}, {\"cell\": \"<0.001\", \"bbox\": [136, 45, 159, 55]}, {\"cell\": \"484.2 (466.1 to 502.4)\", \"bbox\": [171, 45, 241, 55]}, {\"cell\": \"<0.001\", \"bbox\": [253, 45, 277, 55]}, {\"cell\": \"31.6 (26.7 to 37.3)\", \"bbox\": [296, 45, 354, 55]}, {\"cell\": \"<0.001\", \"bbox\": [374, 45, 397, 55]}, {\"cell\": \"2.7 (1.9 to 3.6)\", \"bbox\": [421, 45, 468, 55]}, {\"cell\": \"<0.001\", \"bbox\": [492, 45, 515, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [533, 45, 603, 55]}, {\"cell\": \"<0.001\", \"bbox\": [620, 45, 643, 55]}, {\"cell\": \"Sunday\", \"bbox\": [10, 59, 35, 69]}, {\"cell\": \"74.2 (69.7 to 78.6)\", \"bbox\": [65, 59, 123, 69]}, {\"cell\": \"<0.001\", \"bbox\": [136, 59, 159, 69]}, {\"cell\": \"468.2 (450.2 to 486.2)\", \"bbox\": [171, 59, 241, 69]}, {\"cell\": \"<0.001\", \"bbox\": [253, 59, 277, 69]}, {\"cell\": \"21.4 (18.1 to 25.2)1\", \"bbox\": [295, 58, 356, 69]}, {\"cell\": \"<0.001\", \"bbox\": [374, 59, 397, 69]}, {\"cell\": \"2.4 (1.7 to 3.2)\", \"bbox\": [421, 59, 468, 69]}, {\"cell\": \"<0.001\", \"bbox\": [492, 59, 515, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [533, 59, 603, 69]}, {\"cell\": \"<0.001\", \"bbox\": [620, 59, 643, 69]}, {\"cell\": \"Girls\", \"bbox\": [1, 73, 16, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ref: Weekday\", \"bbox\": [10, 87, 55, 97]}, {\"cell\": \"69.1 (65.9 to 72.2)\", \"bbox\": [65, 87, 123, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"533.0 (517.0 to 549.0)\", \"bbox\": [171, 87, 241, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"28.0 (24.1 to 32.5)\", \"bbox\": [296, 87, 354, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.9 (0.7 to 1.1)\", \"bbox\": [421, 87, 468, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [533, 87, 603, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Saturday\", \"bbox\": [10, 101, 40, 111]}, {\"cell\": \"70.3 (66.4 to 74.2)\", \"bbox\": [65, 101, 124, 111]}, {\"cell\": \"0.517\", \"bbox\": [138, 101, 157, 111]}, {\"cell\": \"510.3 (491.6 to 529.0)\", \"bbox\": [171, 101, 241, 111]}, {\"cell\": \"0.005\", \"bbox\": [256, 101, 274, 111]}, {\"cell\": \"16.0 (13.1 to 19.4)\", \"bbox\": [296, 101, 354, 111]}, {\"cell\": \"<0.001\", \"bbox\": [374, 101, 397, 111]}, {\"cell\": \"0.8 (0.6 to 1.0)\", \"bbox\": [421, 101, 468, 111]}, {\"cell\": \"0.329\", \"bbox\": [494, 101, 513, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [533, 101, 603, 111]}, {\"cell\": \"0.014\", \"bbox\": [622, 101, 641, 111]}, {\"cell\": \"Sunday\", \"bbox\": [10, 115, 35, 125]}, {\"cell\": \"55.4 (51.6 to 59.3)1\", \"bbox\": [64, 114, 125, 125]}, {\"cell\": \"<0.001\", \"bbox\": [136, 115, 159, 125]}, {\"cell\": \"444.4 (425.7 to 463.2)1\", \"bbox\": [170, 114, 242, 125]}, {\"cell\": \"<0.001\", \"bbox\": [253, 115, 277, 125]}, {\"cell\": \"9.2 (7.5 to 11.2)1\", \"bbox\": [299, 114, 352, 125]}, {\"cell\": \"<0.001\", \"bbox\": [374, 115, 397, 125]}, {\"cell\": \"0.5 (0.4 to 0.7)2\", \"bbox\": [420, 114, 469, 125]}, {\"cell\": \"<0.001\", \"bbox\": [492, 115, 515, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [531, 114, 604, 125]}, {\"cell\": \"0.036\", \"bbox\": [622, 115, 641, 125]}, {\"cell\": \"School term\", \"bbox\": [1, 129, 41, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ref: Summer\", \"bbox\": [10, 143, 53, 153]}, {\"cell\": \"76.0 (72.4 to 79.6)\", \"bbox\": [65, 143, 123, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"526.2 (508.6 to 543.8)\", \"bbox\": [171, 143, 241, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"29.2 (25.5 to 33.5)\", \"bbox\": [296, 143, 354, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.5 (1.2 to 1.9)\", \"bbox\": [421, 143, 468, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [533, 143, 603, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Autumn\", \"bbox\": [10, 157, 38, 167]}, {\"cell\": \"72.7 (67.3 to 78.0)\", \"bbox\": [65, 157, 123, 167]}, {\"cell\": \"0.310\", \"bbox\": [138, 157, 157, 167]}, {\"cell\": \"520.5 (494.0 to 547.0)\", \"bbox\": [171, 157, 241, 167]}, {\"cell\": \"0.726\", \"bbox\": [256, 157, 274, 167]}, {\"cell\": \"21.3 (17.4 to 26.2)\", \"bbox\": [296, 157, 354, 167]}, {\"cell\": \"0.012\", \"bbox\": [376, 157, 395, 167]}, {\"cell\": \"1.7 (1.2 to 2.4)\", \"bbox\": [421, 157, 468, 167]}, {\"cell\": \"0.619\", \"bbox\": [494, 157, 513, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [533, 157, 603, 167]}, {\"cell\": \"0.481\", \"bbox\": [622, 157, 641, 167]}, {\"cell\": \"Spring\", \"bbox\": [10, 171, 33, 181]}, {\"cell\": \"70.7 (66.0 to 75.3)\", \"bbox\": [65, 171, 123, 181]}, {\"cell\": \"0.068\", \"bbox\": [138, 171, 157, 181]}, {\"cell\": \"490.5 (467.9 to 513.2)\", \"bbox\": [171, 171, 241, 181]}, {\"cell\": \"0.012\", \"bbox\": [256, 171, 274, 181]}, {\"cell\": \"23.1 (19.3 to 27.7)\", \"bbox\": [296, 171, 354, 181]}, {\"cell\": \"0.042\", \"bbox\": [376, 171, 395, 181]}, {\"cell\": \"1.3 (1.0 to 1.7)\", \"bbox\": [421, 171, 468, 181]}, {\"cell\": \"0.326\", \"bbox\": [494, 171, 513, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [533, 171, 603, 181]}, {\"cell\": \"0.010\", \"bbox\": [622, 171, 641, 181]}, {\"cell\": \"Area-level SES\", \"bbox\": [1, 185, 47, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ref: Low\", \"bbox\": [10, 199, 39, 209]}, {\"cell\": \"73.0 (68.2 to 77.7)\", \"bbox\": [65, 199, 123, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"499.7 (477.0 to 522.3)\", \"bbox\": [171, 199, 241, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"23.1 (18.8 to 28.4)\", \"bbox\": [296, 199, 354, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.4 (1.0 to 2.0)\", \"bbox\": [421, 199, 468, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [533, 199, 603, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Middle\", \"bbox\": [10, 213, 34, 223]}, {\"cell\": \"73.9 (69.9 to 77.9)\", \"bbox\": [65, 213, 123, 223]}, {\"cell\": \"0.740\", \"bbox\": [138, 213, 157, 223]}, {\"cell\": \"530.1 (511.1 to 549.2)\", \"bbox\": [171, 213, 241, 223]}, {\"cell\": \"0.022\", \"bbox\": [256, 213, 274, 223]}, {\"cell\": \"27.2 (23.0 to 32.3)\", \"bbox\": [296, 213, 354, 223]}, {\"cell\": \"0.208\", \"bbox\": [376, 213, 395, 223]}, {\"cell\": \"1.5 (1.1 to 1.9)\", \"bbox\": [421, 213, 468, 223]}, {\"cell\": \"0.873\", \"bbox\": [494, 213, 513, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [533, 213, 603, 223]}, {\"cell\": \"0.042\", \"bbox\": [622, 213, 641, 223]}, {\"cell\": \"High\", \"bbox\": [10, 227, 27, 237]}, {\"cell\": \"73.9 (71.0 to 76.8)\", \"bbox\": [65, 227, 123, 237]}, {\"cell\": \"0.716\", \"bbox\": [138, 227, 157, 237]}, {\"cell\": \"513.6 (499.5 to 527.6)\", \"bbox\": [171, 227, 241, 237]}, {\"cell\": \"0.238\", \"bbox\": [256, 227, 274, 237]}, {\"cell\": \"25.4 (22.6 to 28.5)\", \"bbox\": [296, 227, 354, 237]}, {\"cell\": \"0.412\", \"bbox\": [376, 227, 395, 237]}, {\"cell\": \"1.5 (1.3 to 1.9)\", \"bbox\": [421, 227, 468, 237]}, {\"cell\": \"0.623\", \"bbox\": [494, 227, 513, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [533, 227, 603, 237]}, {\"cell\": \"0.393\", \"bbox\": [622, 227, 641, 237]}, {\"cell\": \"Body fat status3\", \"bbox\": [1, 240, 53, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ref: Normal\", \"bbox\": [10, 255, 49, 265]}, {\"cell\": \"73.9 (71.3 to 76.4)\", \"bbox\": [65, 255, 123, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"515.3 (502.7 to 527.9)\", \"bbox\": [171, 255, 241, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"25.5 (23.1 to 28.1)\", \"bbox\": [296, 255, 354, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.6 (1.3 to 1.8)\", \"bbox\": [421, 255, 468, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [533, 255, 603, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Overfat\", \"bbox\": [10, 269, 35, 279]}, {\"cell\": \"72.2 (66.5 to 77.8)\", \"bbox\": [65, 269, 123, 279]}, {\"cell\": \"0.539\", \"bbox\": [138, 269, 157, 279]}, {\"cell\": \"512.6 (488.3 to 536.9)\", \"bbox\": [171, 269, 241, 279]}, {\"cell\": \"0.816\", \"bbox\": [256, 269, 274, 279]}, {\"cell\": \"24.4 (18.9 to 31.5)\", \"bbox\": [296, 269, 354, 279]}, {\"cell\": \"0.734\", \"bbox\": [376, 269, 395, 279]}, {\"cell\": \"1.0 (0.7 to 1.5)\", \"bbox\": [421, 269, 468, 279]}, {\"cell\": \"0.022\", \"bbox\": [494, 269, 513, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [533, 269, 603, 279]}, {\"cell\": \"0.596\", \"bbox\": [622, 269, 641, 279]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3936923_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL][EMPTY_CELL]Reported intensity menstrual flow
CharacteristicN (%)HeavyNormalLightp
[EMPTY_CELL][EMPTY_CELL]304 (35.3)340 (39.4)218 (25.3)[EMPTY_CELL]
Age at menarche (years)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.8
≤ 10[EMPTY_CELL]32 (43.8)26 (35.6)15 (20.5)[EMPTY_CELL]
11-12[EMPTY_CELL]128 (35.4)143 (39.5)91 (25.1)[EMPTY_CELL]
13-14[EMPTY_CELL]109 (33.1)134 (40.7)86 (26.1)[EMPTY_CELL]
≥ 15[EMPTY_CELL]32 (33.7)37 (38.9)26 (27.4)[EMPTY_CELL]
Number of pregnancies[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]<0.001
0[EMPTY_CELL]23 (24.0)46 (47.9)27 (28.1)[EMPTY_CELL]
1-3[EMPTY_CELL]197 (32.7)251 (41.6)155 (25.7)[EMPTY_CELL]
≥ 4[EMPTY_CELL]84 (51.5)43 (26.4)36 (22.1)[EMPTY_CELL]
Number of abortions[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.3
0[EMPTY_CELL]215 (36.6)233 (39.7)139 (23.7)[EMPTY_CELL]
≥1[EMPTY_CELL]66 (36.9)61 (34.1)52 (29.1)[EMPTY_CELL]
Contraceptive method currently in use1[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]<0.001
None[EMPTY_CELL]14 (53.9)6 (23.1)6 (23.1)[EMPTY_CELL]
Pill[EMPTY_CELL]102 (24.5)177 (42.6)137 (32.9)[EMPTY_CELL]
IUD[EMPTY_CELL]25 (56.8)10 (22.7)9 (20.5)[EMPTY_CELL]
Tubal ligation[EMPTY_CELL]63 (68.5)16 (17.4)13 (14.1)[EMPTY_CELL]
Injectable hormones[EMPTY_CELL]8 (22.9)17 (48.6)10 (28.6)[EMPTY_CELL]
Male preservative[EMPTY_CELL]46 (38.3)52 (43.3)22 (18.3)[EMPTY_CELL]
Others[EMPTY_CELL]23 (31.5)40 (54.8)10 (13.7)[EMPTY_CELL]
Duration of menstrual periods (days)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]<0.001
≤ 3[EMPTY_CELL]67 (20.2)124 (37.5)140 (42.3)[EMPTY_CELL]
4[EMPTY_CELL]50 (25.4)104 (52.8)43 (21.8)[EMPTY_CELL]
≥ 5[EMPTY_CELL]187 (56.0)112 (33.5)35 (10.5)[EMPTY_CELL]
Extra-menstrual bleeding[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.001
No[EMPTY_CELL]262 (33.3)320 (40.7)204 (26.0)[EMPTY_CELL]
Yes[EMPTY_CELL]42 (55.3)20 (26.3)14 (18.4)[EMPTY_CELL]
Presence of blood clots[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]<0.001
No[EMPTY_CELL]98 (24.6)181 (45.5)119 (29.9)[EMPTY_CELL]
Yes[EMPTY_CELL]206 (44.4)159 (34.3)99 (21.3)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Reported intensity menstrual flow\", \"bbox\": [295, 4, 416, 13]}, {\"cell\": \"Characteristic\", \"bbox\": [55, 17, 104, 27]}, {\"cell\": \"N (%)\", \"bbox\": [182, 17, 203, 27]}, {\"cell\": \"Heavy\", \"bbox\": [248, 17, 271, 27]}, {\"cell\": \"Normal\", \"bbox\": [315, 17, 342, 27]}, {\"cell\": \"Light\", \"bbox\": [387, 17, 407, 27]}, {\"cell\": \"p\", \"bbox\": [455, 17, 462, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"304 (35.3)\", \"bbox\": [241, 29, 278, 39]}, {\"cell\": \"340 (39.4)\", \"bbox\": [310, 29, 346, 39]}, {\"cell\": \"218 (25.3)\", \"bbox\": [378, 29, 415, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Age at menarche (years)\", \"bbox\": [39, 42, 120, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.8\", \"bbox\": [453, 42, 464, 52]}, {\"cell\": \"≤ 10\", \"bbox\": [71, 54, 88, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 54, 206, 64]}, {\"cell\": \"32 (43.8)\", \"bbox\": [245, 54, 274, 64]}, {\"cell\": \"26 (35.6)\", \"bbox\": [314, 54, 343, 64]}, {\"cell\": \"15 (20.5)\", \"bbox\": [382, 54, 411, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"11-12\", \"bbox\": [70, 66, 89, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [176, 66, 209, 76]}, {\"cell\": \"128 (35.4)\", \"bbox\": [243, 66, 276, 76]}, {\"cell\": \"143 (39.5)\", \"bbox\": [312, 66, 345, 76]}, {\"cell\": \"91 (25.1)\", \"bbox\": [382, 66, 411, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"13-14\", \"bbox\": [70, 78, 89, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [176, 78, 209, 88]}, {\"cell\": \"109 (33.1)\", \"bbox\": [243, 78, 276, 88]}, {\"cell\": \"134 (40.7)\", \"bbox\": [312, 78, 345, 88]}, {\"cell\": \"86 (26.1)\", \"bbox\": [382, 78, 411, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"≥ 15\", \"bbox\": [71, 90, 88, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [178, 90, 207, 100]}, {\"cell\": \"32 (33.7)\", \"bbox\": [245, 90, 274, 100]}, {\"cell\": \"37 (38.9)\", \"bbox\": [314, 90, 343, 100]}, {\"cell\": \"26 (27.4)\", \"bbox\": [382, 90, 411, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Number of pregnancies\", \"bbox\": [40, 102, 119, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.001\", \"bbox\": [447, 102, 470, 112]}, {\"cell\": \"0\", \"bbox\": [76, 114, 82, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [178, 114, 207, 124]}, {\"cell\": \"23 (24.0)\", \"bbox\": [245, 114, 274, 124]}, {\"cell\": \"46 (47.9)\", \"bbox\": [314, 114, 343, 124]}, {\"cell\": \"27 (28.1)\", \"bbox\": [382, 114, 411, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1-3\", \"bbox\": [73, 126, 85, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [176, 126, 209, 136]}, {\"cell\": \"197 (32.7)\", \"bbox\": [243, 126, 276, 136]}, {\"cell\": \"251 (41.6)\", \"bbox\": [312, 126, 345, 136]}, {\"cell\": \"155 (25.7)\", \"bbox\": [380, 126, 413, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"≥ 4\", \"bbox\": [73, 138, 86, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [176, 138, 209, 148]}, {\"cell\": \"84 (51.5)\", \"bbox\": [245, 138, 274, 148]}, {\"cell\": \"43 (26.4)\", \"bbox\": [314, 138, 343, 148]}, {\"cell\": \"36 (22.1)\", \"bbox\": [382, 138, 411, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Number of abortions\", \"bbox\": [45, 150, 114, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.3\", \"bbox\": [453, 150, 464, 159]}, {\"cell\": \"0\", \"bbox\": [76, 162, 82, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [176, 162, 209, 171]}, {\"cell\": \"215 (36.6)\", \"bbox\": [243, 162, 276, 171]}, {\"cell\": \"233 (39.7)\", \"bbox\": [312, 162, 345, 171]}, {\"cell\": \"139 (23.7)\", \"bbox\": [380, 162, 413, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"≥1\", \"bbox\": [74, 174, 85, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [176, 174, 209, 183]}, {\"cell\": \"66 (36.9)\", \"bbox\": [245, 174, 274, 183]}, {\"cell\": \"61 (34.1)\", \"bbox\": [314, 174, 343, 183]}, {\"cell\": \"52 (29.1)\", \"bbox\": [382, 174, 411, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Contraceptive method currently in use1\", \"bbox\": [15, 184, 144, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.001\", \"bbox\": [447, 186, 470, 195]}, {\"cell\": \"None\", \"bbox\": [70, 198, 89, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 198, 206, 207]}, {\"cell\": \"14 (53.9)\", \"bbox\": [245, 198, 274, 207]}, {\"cell\": \"6 (23.1)\", \"bbox\": [315, 198, 341, 207]}, {\"cell\": \"6 (23.1)\", \"bbox\": [384, 198, 409, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Pill\", \"bbox\": [74, 210, 85, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [176, 210, 209, 219]}, {\"cell\": \"102 (24.5)\", \"bbox\": [243, 210, 276, 219]}, {\"cell\": \"177 (42.6)\", \"bbox\": [312, 210, 345, 219]}, {\"cell\": \"137 (32.9)\", \"bbox\": [380, 210, 413, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"IUD\", \"bbox\": [73, 222, 86, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 222, 206, 231]}, {\"cell\": \"25 (56.8)\", \"bbox\": [245, 222, 274, 231]}, {\"cell\": \"10 (22.7)\", \"bbox\": [314, 222, 343, 231]}, {\"cell\": \"9 (20.5)\", \"bbox\": [384, 222, 409, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Tubal ligation\", \"bbox\": [57, 234, 102, 243]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [178, 234, 207, 243]}, {\"cell\": \"63 (68.5)\", \"bbox\": [245, 234, 274, 243]}, {\"cell\": \"16 (17.4)\", \"bbox\": [314, 234, 343, 243]}, {\"cell\": \"13 (14.1)\", \"bbox\": [382, 234, 411, 243]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Injectable hormones\", \"bbox\": [46, 246, 113, 255]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 246, 206, 255]}, {\"cell\": \"8 (22.9)\", \"bbox\": [247, 246, 272, 255]}, {\"cell\": \"17 (48.6)\", \"bbox\": [314, 246, 343, 255]}, {\"cell\": \"10 (28.6)\", \"bbox\": [382, 246, 411, 255]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Male preservative\", \"bbox\": [51, 258, 108, 267]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [176, 258, 209, 267]}, {\"cell\": \"46 (38.3)\", \"bbox\": [245, 258, 274, 267]}, {\"cell\": \"52 (43.3)\", \"bbox\": [314, 258, 343, 267]}, {\"cell\": \"22 (18.3)\", \"bbox\": [382, 258, 411, 267]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Others\", \"bbox\": [68, 269, 91, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 269, 206, 279]}, {\"cell\": \"23 (31.5)\", \"bbox\": [245, 269, 274, 279]}, {\"cell\": \"40 (54.8)\", \"bbox\": [314, 269, 343, 279]}, {\"cell\": \"10 (13.7)\", \"bbox\": [382, 269, 411, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Duration of menstrual periods (days)\", \"bbox\": [19, 281, 139, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.001\", \"bbox\": [447, 281, 470, 291]}, {\"cell\": \"≤ 3\", \"bbox\": [73, 293, 86, 303]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [176, 293, 209, 303]}, {\"cell\": \"67 (20.2)\", \"bbox\": [245, 293, 274, 303]}, {\"cell\": \"124 (37.5)\", \"bbox\": [312, 293, 345, 303]}, {\"cell\": \"140 (42.3)\", \"bbox\": [380, 293, 413, 303]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"4\", \"bbox\": [76, 305, 82, 315]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [176, 305, 209, 315]}, {\"cell\": \"50 (25.4)\", \"bbox\": [245, 305, 274, 315]}, {\"cell\": \"104 (52.8)\", \"bbox\": [312, 305, 345, 315]}, {\"cell\": \"43 (21.8)\", \"bbox\": [382, 305, 411, 315]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"≥ 5\", \"bbox\": [73, 317, 86, 327]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [176, 317, 209, 327]}, {\"cell\": \"187 (56.0)\", \"bbox\": [243, 317, 276, 327]}, {\"cell\": \"112 (33.5)\", \"bbox\": [312, 317, 345, 327]}, {\"cell\": \"35 (10.5)\", \"bbox\": [382, 317, 411, 327]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Extra-menstrual bleeding\", \"bbox\": [38, 329, 120, 339]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.001\", \"bbox\": [449, 329, 468, 339]}, {\"cell\": \"No\", \"bbox\": [74, 341, 85, 351]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [176, 341, 209, 351]}, {\"cell\": \"262 (33.3)\", \"bbox\": [243, 341, 276, 351]}, {\"cell\": \"320 (40.7)\", \"bbox\": [312, 341, 345, 351]}, {\"cell\": \"204 (26.0)\", \"bbox\": [380, 341, 413, 351]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Yes\", \"bbox\": [73, 353, 86, 363]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 353, 206, 363]}, {\"cell\": \"42 (55.3)\", \"bbox\": [245, 353, 274, 363]}, {\"cell\": \"20 (26.3)\", \"bbox\": [314, 353, 343, 363]}, {\"cell\": \"14 (18.4)\", \"bbox\": [382, 353, 411, 363]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Presence of blood clots\", \"bbox\": [40, 365, 118, 375]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.001\", \"bbox\": [447, 365, 470, 375]}, {\"cell\": \"No\", \"bbox\": [74, 377, 85, 387]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [176, 377, 209, 387]}, {\"cell\": \"98 (24.6)\", \"bbox\": [245, 377, 274, 387]}, {\"cell\": \"181 (45.5)\", \"bbox\": [312, 377, 345, 387]}, {\"cell\": \"119 (29.9)\", \"bbox\": [380, 377, 413, 387]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Yes\", \"bbox\": [73, 389, 86, 399]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [176, 389, 209, 399]}, {\"cell\": \"206 (44.4)\", \"bbox\": [243, 389, 276, 399]}, {\"cell\": \"159 (34.3)\", \"bbox\": [312, 389, 345, 399]}, {\"cell\": \"99 (21.3)\", \"bbox\": [382, 389, 411, 399]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3118185_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]PD patients with successful PM recording (n = 28)PD patients with PM recording failure (n = 9)PD patients who declined PM (n = 7)Controls (n = 56)
Clinical data[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Sex (% male)71.4[EMPTY_CELL]57.171.4
Age (years)64.6 (11.0)[EMPTY_CELL]66.4 (8.2)64.9 (10.4)
Body Mass Index (kg/m2)27.9 (3.7)[EMPTY_CELL]28.3 (4.0)—
Hoehn and Yahr 2.0 (0.9)(Range: 1.0 to 4.0)[EMPTY_CELL]2.4 (0.4)(Range: 2.0 to 3.0)—
Total UPDRS52.5 (25.2)[EMPTY_CELL]45.7 (14.3)—
Motor UPDRS 25.0 (14.1)[EMPTY_CELL]20.6 (8.7)—
PD duration (years)5.3 (5.2)[EMPTY_CELL]6.9 (5.9)—
MOCA score 25.4 (3.7)(Range: 18 to 30)[EMPTY_CELL]25.0 (2.9)(Range: 22 to 30)—
Levodopa equivalence dose (mg/day)701.2 (902.3)[EMPTY_CELL]609.1 (210.0)—
Proportion (%) on negative chronotropic medication°17.8[EMPTY_CELL]14.3—
Proportion (%) with dysautonomia42.9[EMPTY_CELL]42.9—
FVC (L)4.0 (1.0)[EMPTY_CELL]3.2 (0.9)—
FVC % pred.109 (26.2)[EMPTY_CELL]99.3 (10.5)—
FEV1 (L)3.0 (0.8)[EMPTY_CELL]2.3 (0.7)—
FEV1 % pred.103 (25.7)[EMPTY_CELL]87.0 (17.0)—
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"PD patients with successful PM recording (n = 28)\", \"bbox\": [207, 4, 275, 37]}, {\"cell\": \"PD patients with PM recording failure (n = 9)\", \"bbox\": [294, 4, 356, 37]}, {\"cell\": \"PD patients who declined PM (n = 7)\", \"bbox\": [378, 4, 439, 37]}, {\"cell\": \"Controls (n = 56)\", \"bbox\": [461, 9, 494, 32]}, {\"cell\": \"Clinical data\", \"bbox\": [2, 38, 49, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Sex (% male)\", \"bbox\": [2, 51, 51, 62]}, {\"cell\": \"71.4\", \"bbox\": [233, 52, 249, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [316, 52, 333, 62]}, {\"cell\": \"57.1\", \"bbox\": [402, 52, 416, 62]}, {\"cell\": \"71.4\", \"bbox\": [470, 52, 486, 62]}, {\"cell\": \"Age (years)\", \"bbox\": [2, 64, 45, 75]}, {\"cell\": \"64.6 (11.0)\", \"bbox\": [222, 65, 260, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [306, 65, 343, 76]}, {\"cell\": \"66.4 (8.2)\", \"bbox\": [391, 65, 427, 76]}, {\"cell\": \"64.9 (10.4)\", \"bbox\": [458, 65, 498, 76]}, {\"cell\": \"Body Mass Index (kg/m2)\", \"bbox\": [2, 73, 97, 88]}, {\"cell\": \"27.9 (3.7)\", \"bbox\": [224, 78, 258, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [308, 78, 342, 89]}, {\"cell\": \"28.3 (4.0)\", \"bbox\": [391, 78, 427, 89]}, {\"cell\": \"—\", \"bbox\": [473, 78, 483, 89]}, {\"cell\": \"Hoehn and Yahr \", \"bbox\": [2, 95, 64, 106]}, {\"cell\": \"2.0 (0.9)(Range: 1.0 to 4.0)\", \"bbox\": [208, 91, 273, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [292, 91, 357, 112]}, {\"cell\": \"2.4 (0.4)(Range: 2.0 to 3.0)\", \"bbox\": [376, 91, 442, 112]}, {\"cell\": \"—\", \"bbox\": [473, 96, 483, 107]}, {\"cell\": \"Total UPDRS\", \"bbox\": [2, 114, 53, 124]}, {\"cell\": \"52.5 (25.2)\", \"bbox\": [221, 114, 260, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [304, 114, 345, 125]}, {\"cell\": \"45.7 (14.3)\", \"bbox\": [389, 114, 428, 125]}, {\"cell\": \"—\", \"bbox\": [473, 114, 483, 125]}, {\"cell\": \"Motor UPDRS \", \"bbox\": [2, 127, 57, 138]}, {\"cell\": \"25.0 (14.1)\", \"bbox\": [222, 128, 259, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [306, 128, 343, 138]}, {\"cell\": \"20.6 (8.7)\", \"bbox\": [391, 128, 427, 138]}, {\"cell\": \"—\", \"bbox\": [473, 128, 483, 138]}, {\"cell\": \"PD duration (years)\", \"bbox\": [2, 140, 76, 151]}, {\"cell\": \"5.3 (5.2)\", \"bbox\": [225, 141, 256, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [309, 141, 340, 152]}, {\"cell\": \"6.9 (5.9)\", \"bbox\": [393, 141, 424, 152]}, {\"cell\": \"—\", \"bbox\": [473, 141, 483, 152]}, {\"cell\": \"MOCA score \", \"bbox\": [2, 158, 52, 168]}, {\"cell\": \"25.4 (3.7)(Range: 18 to 30)\", \"bbox\": [210, 153, 271, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [294, 153, 356, 174]}, {\"cell\": \"25.0 (2.9)(Range: 22 to 30)\", \"bbox\": [378, 153, 440, 174]}, {\"cell\": \"—\", \"bbox\": [473, 159, 483, 169]}, {\"cell\": \"Levodopa equivalence dose (mg/day)\", \"bbox\": [2, 176, 138, 187]}, {\"cell\": \"701.2 (902.3)\", \"bbox\": [217, 177, 264, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 177, 348, 188]}, {\"cell\": \"609.1 (210.0)\", \"bbox\": [385, 177, 432, 188]}, {\"cell\": \"—\", \"bbox\": [473, 177, 483, 188]}, {\"cell\": \"Proportion (%) on negative chronotropic medication°\", \"bbox\": [2, 186, 196, 200]}, {\"cell\": \"17.8\", \"bbox\": [234, 190, 248, 201]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [316, 190, 333, 201]}, {\"cell\": \"14.3\", \"bbox\": [401, 190, 416, 201]}, {\"cell\": \"—\", \"bbox\": [473, 190, 483, 201]}, {\"cell\": \"Proportion (%) with dysautonomia\", \"bbox\": [2, 201, 133, 213]}, {\"cell\": \"42.9\", \"bbox\": [232, 204, 249, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [316, 204, 333, 214]}, {\"cell\": \"42.9\", \"bbox\": [400, 204, 417, 214]}, {\"cell\": \"—\", \"bbox\": [473, 204, 483, 214]}, {\"cell\": \"FVC (L)\", \"bbox\": [2, 216, 34, 227]}, {\"cell\": \"4.0 (1.0)\", \"bbox\": [225, 217, 256, 228]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [310, 217, 340, 228]}, {\"cell\": \"3.2 (0.9)\", \"bbox\": [393, 217, 424, 228]}, {\"cell\": \"—\", \"bbox\": [473, 217, 483, 228]}, {\"cell\": \"FVC % pred.\", \"bbox\": [2, 229, 50, 240]}, {\"cell\": \"109 (26.2)\", \"bbox\": [222, 230, 259, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [304, 230, 345, 241]}, {\"cell\": \"99.3 (10.5)\", \"bbox\": [389, 230, 428, 241]}, {\"cell\": \"—\", \"bbox\": [473, 230, 483, 241]}, {\"cell\": \"FEV1 (L)\", \"bbox\": [2, 243, 37, 253]}, {\"cell\": \"3.0 (0.8)\", \"bbox\": [225, 243, 256, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [309, 243, 340, 254]}, {\"cell\": \"2.3 (0.7)\", \"bbox\": [393, 243, 424, 254]}, {\"cell\": \"—\", \"bbox\": [473, 243, 483, 254]}, {\"cell\": \"FEV1 % pred.\", \"bbox\": [2, 256, 53, 266]}, {\"cell\": \"103 (25.7)\", \"bbox\": [223, 257, 259, 267]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [306, 257, 343, 267]}, {\"cell\": \"87.0 (17.0)\", \"bbox\": [391, 257, 427, 267]}, {\"cell\": \"—\", \"bbox\": [473, 257, 483, 267]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4621364_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Survivors (n = 82)Non-survivors (n = 15)p valueUnivariate logistic regression
OR95% CIp
Baseline characteristics
Gender (female), n (%)[EMPTY_CELL]4 (26.7)0.1580.360.11–1.240.105
Age (years), median [IQR][EMPTY_CELL]67.0 [65.0–75.0]0.2120.980.94–1.020.311
Hypertension, n (%)[EMPTY_CELL]3 (20.0)0.1580.390.10–1.490.169
ANCA[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
c-ANCA type, n (%)[EMPTY_CELL]7 (46.7)0.1570.450.15–1.380.164
AAV relapse, n (%)[EMPTY_CELL]1 (6.7)0.1850.240.03–1.920.177
AAV involvement
Heart, n (%)[EMPTY_CELL]3 (20.0)0.7231.210.30–4.870.784
CNS, n (%)[EMPTY_CELL]3 (20.0)0.1043.850.81–18.20.089
Digestive, n (%)[EMPTY_CELL]2 (13.3)0.6261.640.31–8.830.559
ENT, n (%)[EMPTY_CELL]3 (21.4)0.1590.370.10–1.410.147
Kidney
Serum creatinine (μmol/L), median [IQR][EMPTY_CELL]229.0 [104.0–682.0]0.8241.000.99–1.000.878
AKIN > 1, n (%)[EMPTY_CELL]15 (100)0.3511.510.17–13.10.706
RRT, n (%)[EMPTY_CELL]12 (80.0)0.0863.530.93–13.50.064
Lung, n (%)[EMPTY_CELL]14 (93.3)0.6852.170.26–18.20.475
DAH, n (%)[EMPTY_CELL]11 (73.3)0.5621.670.49–5.710.412
Respiratory assistance, n (%)[EMPTY_CELL]14 (93.3)0.0328.511.07–67.90.043
Infectious event, n (%)[EMPTY_CELL]13 (86.7)<0.00114.02.94–66.60.001
Vasopressors, n (%)[EMPTY_CELL]9 (60.0)0.0025.731.79–18.40.003
Plasma exchange*, n (%)[EMPTY_CELL]7 (46.7)0.9490.960.32–2.910.949
Cyclophosphamide*, n (%)[EMPTY_CELL]14 (93.3)0.0328.511.07–67.90.043
SAPS II, median [IQR][EMPTY_CELL]52.0 [33.0–66.0]0.0061.061.02–1.100.003
SOFA, median [IQR][EMPTY_CELL]8.0 [6.0–13.0]0.0401.211.04–1.410.013
BVAS, median [IQR][EMPTY_CELL]21.0 [20.0–27.0]0.9161.010.94–1.080.899
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Survivors (n = 82)\", \"bbox\": [155, 4, 218, 14]}, {\"cell\": \"Non-survivors (n = 15)\", \"bbox\": [237, 4, 317, 14]}, {\"cell\": \"p value\", \"bbox\": [328, 4, 355, 14]}, {\"cell\": \"Univariate logistic regression\", \"bbox\": [376, 4, 478, 14]}, {\"cell\": \"OR\", \"bbox\": [376, 20, 388, 30]}, {\"cell\": \"95% CI\", \"bbox\": [410, 20, 436, 30]}, {\"cell\": \"p\", \"bbox\": [465, 20, 471, 30]}, {\"cell\": \"Baseline characteristics\", \"bbox\": [0, 38, 76, 48]}, {\"cell\": \" Gender (female), n (%)\", \"bbox\": [5, 50, 78, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 50, 179, 60]}, {\"cell\": \"4 (26.7)\", \"bbox\": [237, 50, 262, 60]}, {\"cell\": \"0.158\", \"bbox\": [333, 50, 352, 60]}, {\"cell\": \"0.36\", \"bbox\": [380, 50, 395, 60]}, {\"cell\": \"0.11–1.24\", \"bbox\": [427, 50, 459, 60]}, {\"cell\": \"0.105\", \"bbox\": [465, 50, 484, 60]}, {\"cell\": \" Age (years), median [IQR]\", \"bbox\": [5, 62, 87, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 62, 206, 72]}, {\"cell\": \"67.0 [65.0–75.0]\", \"bbox\": [237, 62, 288, 72]}, {\"cell\": \"0.212\", \"bbox\": [333, 62, 352, 72]}, {\"cell\": \"0.98\", \"bbox\": [380, 62, 395, 72]}, {\"cell\": \"0.94–1.02\", \"bbox\": [427, 62, 459, 72]}, {\"cell\": \"0.311\", \"bbox\": [465, 62, 484, 72]}, {\"cell\": \" Hypertension, n (%)\", \"bbox\": [5, 74, 70, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 74, 184, 84]}, {\"cell\": \"3 (20.0)\", \"bbox\": [237, 74, 262, 84]}, {\"cell\": \"0.158\", \"bbox\": [333, 74, 352, 84]}, {\"cell\": \"0.39\", \"bbox\": [380, 74, 395, 84]}, {\"cell\": \"0.10–1.49\", \"bbox\": [427, 74, 459, 84]}, {\"cell\": \"0.169\", \"bbox\": [465, 74, 484, 84]}, {\"cell\": \" ANCA\", \"bbox\": [5, 86, 26, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"c-ANCA type, n (%)\", \"bbox\": [11, 99, 73, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 99, 184, 108]}, {\"cell\": \"7 (46.7)\", \"bbox\": [237, 99, 262, 108]}, {\"cell\": \"0.157\", \"bbox\": [333, 99, 352, 108]}, {\"cell\": \"0.45\", \"bbox\": [380, 99, 395, 108]}, {\"cell\": \"0.15–1.38\", \"bbox\": [427, 99, 459, 108]}, {\"cell\": \"0.164\", \"bbox\": [465, 99, 484, 108]}, {\"cell\": \" AAV relapse, n (%)\", \"bbox\": [5, 111, 64, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 111, 184, 120]}, {\"cell\": \"1 (6.7)\", \"bbox\": [237, 111, 258, 120]}, {\"cell\": \"0.185\", \"bbox\": [333, 111, 352, 120]}, {\"cell\": \"0.24\", \"bbox\": [380, 111, 395, 120]}, {\"cell\": \"0.03–1.92\", \"bbox\": [427, 111, 459, 120]}, {\"cell\": \"0.177\", \"bbox\": [465, 111, 484, 120]}, {\"cell\": \"AAV involvement\", \"bbox\": [0, 123, 57, 132]}, {\"cell\": \" Heart, n (%)\", \"bbox\": [5, 135, 44, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 135, 184, 144]}, {\"cell\": \"3 (20.0)\", \"bbox\": [237, 135, 262, 144]}, {\"cell\": \"0.723\", \"bbox\": [333, 135, 352, 144]}, {\"cell\": \"1.21\", \"bbox\": [380, 135, 395, 144]}, {\"cell\": \"0.30–4.87\", \"bbox\": [427, 135, 459, 144]}, {\"cell\": \"0.784\", \"bbox\": [465, 135, 484, 144]}, {\"cell\": \" CNS, n (%)\", \"bbox\": [5, 147, 40, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 147, 176, 156]}, {\"cell\": \"3 (20.0)\", \"bbox\": [237, 147, 262, 156]}, {\"cell\": \"0.104\", \"bbox\": [333, 147, 352, 156]}, {\"cell\": \"3.85\", \"bbox\": [380, 147, 395, 156]}, {\"cell\": \"0.81–18.2\", \"bbox\": [427, 147, 459, 156]}, {\"cell\": \"0.089\", \"bbox\": [465, 147, 484, 156]}, {\"cell\": \" Digestive, n (%)\", \"bbox\": [5, 159, 56, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 159, 176, 169]}, {\"cell\": \"2 (13.3)\", \"bbox\": [237, 159, 262, 169]}, {\"cell\": \"0.626\", \"bbox\": [333, 159, 352, 169]}, {\"cell\": \"1.64\", \"bbox\": [380, 159, 395, 169]}, {\"cell\": \"0.31–8.83\", \"bbox\": [427, 159, 459, 169]}, {\"cell\": \"0.559\", \"bbox\": [465, 159, 484, 169]}, {\"cell\": \" ENT, n (%)\", \"bbox\": [5, 171, 39, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 171, 184, 181]}, {\"cell\": \"3 (21.4)\", \"bbox\": [237, 171, 262, 181]}, {\"cell\": \"0.159\", \"bbox\": [333, 171, 352, 181]}, {\"cell\": \"0.37\", \"bbox\": [380, 171, 395, 181]}, {\"cell\": \"0.10–1.41\", \"bbox\": [427, 171, 459, 181]}, {\"cell\": \"0.147\", \"bbox\": [465, 171, 484, 181]}, {\"cell\": \"Kidney\", \"bbox\": [0, 183, 24, 193]}, {\"cell\": \"Serum creatinine (μmol/L), median [IQR]\", \"bbox\": [11, 195, 141, 205]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 195, 218, 205]}, {\"cell\": \"229.0 [104.0–682.0]\", \"bbox\": [237, 195, 300, 205]}, {\"cell\": \"0.824\", \"bbox\": [333, 195, 352, 205]}, {\"cell\": \"1.00\", \"bbox\": [380, 195, 395, 205]}, {\"cell\": \"0.99–1.00\", \"bbox\": [427, 195, 459, 205]}, {\"cell\": \"0.878\", \"bbox\": [465, 195, 484, 205]}, {\"cell\": \"AKIN > 1, n (%)\", \"bbox\": [11, 207, 60, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 207, 184, 217]}, {\"cell\": \"15 (100)\", \"bbox\": [237, 207, 264, 217]}, {\"cell\": \"0.351\", \"bbox\": [333, 207, 352, 217]}, {\"cell\": \"1.51\", \"bbox\": [380, 207, 395, 217]}, {\"cell\": \"0.17–13.1\", \"bbox\": [427, 207, 459, 217]}, {\"cell\": \"0.706\", \"bbox\": [465, 207, 484, 217]}, {\"cell\": \"RRT, n (%)\", \"bbox\": [11, 220, 44, 229]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 220, 184, 229]}, {\"cell\": \"12 (80.0)\", \"bbox\": [237, 220, 266, 229]}, {\"cell\": \"0.086\", \"bbox\": [333, 220, 352, 229]}, {\"cell\": \"3.53\", \"bbox\": [380, 220, 395, 229]}, {\"cell\": \"0.93–13.5\", \"bbox\": [427, 220, 459, 229]}, {\"cell\": \"0.064\", \"bbox\": [465, 220, 484, 229]}, {\"cell\": \" Lung, n (%)\", \"bbox\": [5, 232, 43, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 232, 184, 241]}, {\"cell\": \"14 (93.3)\", \"bbox\": [237, 232, 266, 241]}, {\"cell\": \"0.685\", \"bbox\": [333, 232, 352, 241]}, {\"cell\": \"2.17\", \"bbox\": [380, 232, 395, 241]}, {\"cell\": \"0.26–18.2\", \"bbox\": [427, 232, 459, 241]}, {\"cell\": \"0.475\", \"bbox\": [465, 232, 484, 241]}, {\"cell\": \"DAH, n (%)\", \"bbox\": [11, 244, 47, 253]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 244, 184, 253]}, {\"cell\": \"11 (73.3)\", \"bbox\": [237, 244, 266, 253]}, {\"cell\": \"0.562\", \"bbox\": [333, 244, 352, 253]}, {\"cell\": \"1.67\", \"bbox\": [380, 244, 395, 253]}, {\"cell\": \"0.49–5.71\", \"bbox\": [427, 244, 459, 253]}, {\"cell\": \"0.412\", \"bbox\": [465, 244, 484, 253]}, {\"cell\": \"Respiratory assistance, n (%)\", \"bbox\": [11, 256, 102, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 256, 184, 265]}, {\"cell\": \"14 (93.3)\", \"bbox\": [237, 256, 266, 265]}, {\"cell\": \"0.032\", \"bbox\": [333, 256, 352, 265]}, {\"cell\": \"8.51\", \"bbox\": [380, 256, 395, 265]}, {\"cell\": \"1.07–67.9\", \"bbox\": [427, 256, 459, 265]}, {\"cell\": \"0.043\", \"bbox\": [465, 256, 484, 265]}, {\"cell\": \"Infectious event, n (%)\", \"bbox\": [0, 268, 73, 277]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 268, 184, 277]}, {\"cell\": \"13 (86.7)\", \"bbox\": [237, 268, 266, 277]}, {\"cell\": \"<0.001\", \"bbox\": [328, 268, 352, 277]}, {\"cell\": \"14.0\", \"bbox\": [376, 268, 391, 277]}, {\"cell\": \"2.94–66.6\", \"bbox\": [427, 268, 459, 277]}, {\"cell\": \"0.001\", \"bbox\": [465, 268, 484, 277]}, {\"cell\": \"Vasopressors, n (%)\", \"bbox\": [0, 280, 62, 290]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 280, 184, 290]}, {\"cell\": \"9 (60.0)\", \"bbox\": [237, 280, 262, 290]}, {\"cell\": \"0.002\", \"bbox\": [333, 280, 352, 290]}, {\"cell\": \"5.73\", \"bbox\": [380, 280, 395, 290]}, {\"cell\": \"1.79–18.4\", \"bbox\": [427, 280, 459, 290]}, {\"cell\": \"0.003\", \"bbox\": [465, 280, 484, 290]}, {\"cell\": \"Plasma exchange*, n (%)\", \"bbox\": [0, 292, 80, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 292, 184, 302]}, {\"cell\": \"7 (46.7)\", \"bbox\": [237, 292, 262, 302]}, {\"cell\": \"0.949\", \"bbox\": [333, 292, 352, 302]}, {\"cell\": \"0.96\", \"bbox\": [380, 292, 395, 302]}, {\"cell\": \"0.32–2.91\", \"bbox\": [427, 292, 459, 302]}, {\"cell\": \"0.949\", \"bbox\": [465, 292, 484, 302]}, {\"cell\": \"Cyclophosphamide*, n (%)\", \"bbox\": [0, 304, 87, 314]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 304, 184, 314]}, {\"cell\": \"14 (93.3)\", \"bbox\": [237, 304, 266, 314]}, {\"cell\": \"0.032\", \"bbox\": [333, 304, 352, 314]}, {\"cell\": \"8.51\", \"bbox\": [380, 304, 395, 314]}, {\"cell\": \"1.07–67.9\", \"bbox\": [427, 304, 459, 314]}, {\"cell\": \"0.043\", \"bbox\": [465, 304, 484, 314]}, {\"cell\": \"SAPS II, median [IQR]\", \"bbox\": [0, 316, 68, 326]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 316, 206, 326]}, {\"cell\": \"52.0 [33.0–66.0]\", \"bbox\": [237, 316, 288, 326]}, {\"cell\": \"0.006\", \"bbox\": [333, 316, 352, 326]}, {\"cell\": \"1.06\", \"bbox\": [380, 316, 395, 326]}, {\"cell\": \"1.02–1.10\", \"bbox\": [427, 316, 459, 326]}, {\"cell\": \"0.003\", \"bbox\": [465, 316, 484, 326]}, {\"cell\": \"SOFA, median [IQR]\", \"bbox\": [0, 328, 64, 338]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 328, 195, 338]}, {\"cell\": \"8.0 [6.0–13.0]\", \"bbox\": [237, 328, 280, 338]}, {\"cell\": \"0.040\", \"bbox\": [333, 328, 352, 338]}, {\"cell\": \"1.21\", \"bbox\": [380, 328, 395, 338]}, {\"cell\": \"1.04–1.41\", \"bbox\": [427, 328, 459, 338]}, {\"cell\": \"0.013\", \"bbox\": [465, 328, 484, 338]}, {\"cell\": \"BVAS, median [IQR]\", \"bbox\": [0, 341, 63, 350]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 341, 206, 350]}, {\"cell\": \"21.0 [20.0–27.0]\", \"bbox\": [237, 341, 288, 350]}, {\"cell\": \"0.916\", \"bbox\": [333, 341, 352, 350]}, {\"cell\": \"1.01\", \"bbox\": [380, 341, 395, 350]}, {\"cell\": \"0.94–1.08\", \"bbox\": [427, 341, 459, 350]}, {\"cell\": \"0.899\", \"bbox\": [465, 341, 484, 350]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5382116_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Clinical and epidemiological variablesaDiscovery cohortValidation cohortP
Genetic background[EMPTY_CELL]CEU-
Number of individuals (N)[EMPTY_CELL]425-
Gender (% females)[EMPTY_CELL]398 (93.65%)0.37
Average age at onset (m ± SD)[EMPTY_CELL]32.39 ± 13.320.22
Malar rash (N+/N-)[EMPTY_CELL]183/1751.00
Discoid rash (N+/N-)[EMPTY_CELL]49/3090.74
Photosensitivity (N+/N-)[EMPTY_CELL]173/1850.20
Oral ulcers (N+/N-)[EMPTY_CELL]172/1860.15
Arthritis (N+/N-)[EMPTY_CELL]267/910.54
Serositis (N+/N-)[EMPTY_CELL]122/2360.34
Renal disorder (N+/N-)[EMPTY_CELL]108/2500.38
Neurologic disorder (N+/N-)[EMPTY_CELL]35/2930.10
Hematologic disorder (N+/N-)[EMPTY_CELL]337/210.63
Immunologic disorder (N+/N-)[EMPTY_CELL]292/660.77
Antinuclear antibodies (N+/N-)[EMPTY_CELL]347/110.84
\", \"cells\": [{\"cell\": \"Clinical and epidemiological variablesa\", \"bbox\": [1, 2, 125, 13]}, {\"cell\": \"Discovery cohort\", \"bbox\": [202, 4, 259, 13]}, {\"cell\": \"Validation cohort\", \"bbox\": [336, 4, 392, 13]}, {\"cell\": \"P\", \"bbox\": [470, 4, 475, 12]}, {\"cell\": \"Genetic background\", \"bbox\": [1, 17, 68, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [202, 17, 218, 27]}, {\"cell\": \"CEU\", \"bbox\": [336, 17, 351, 27]}, {\"cell\": \"-\", \"bbox\": [470, 17, 474, 27]}, {\"cell\": \"Number of individuals (N)\", \"bbox\": [1, 31, 85, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [202, 31, 216, 41]}, {\"cell\": \"425\", \"bbox\": [336, 31, 349, 41]}, {\"cell\": \"-\", \"bbox\": [470, 31, 474, 41]}, {\"cell\": \"Gender (% females)\", \"bbox\": [1, 45, 65, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [202, 45, 245, 55]}, {\"cell\": \"398 (93.65%)\", \"bbox\": [336, 45, 378, 55]}, {\"cell\": \"0.37\", \"bbox\": [470, 45, 484, 55]}, {\"cell\": \"Average age at onset (m ± SD)\", \"bbox\": [1, 59, 101, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [202, 59, 246, 69]}, {\"cell\": \"32.39 ± 13.32\", \"bbox\": [336, 59, 379, 69]}, {\"cell\": \"0.22\", \"bbox\": [470, 59, 484, 69]}, {\"cell\": \"Malar rash (N+/N-)\", \"bbox\": [1, 71, 59, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [202, 73, 230, 83]}, {\"cell\": \"183/175\", \"bbox\": [336, 73, 363, 83]}, {\"cell\": \"1.00\", \"bbox\": [470, 73, 484, 83]}, {\"cell\": \"Discoid rash (N+/N-)\", \"bbox\": [0, 85, 66, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [202, 87, 226, 97]}, {\"cell\": \"49/309\", \"bbox\": [336, 87, 360, 97]}, {\"cell\": \"0.74\", \"bbox\": [470, 87, 484, 97]}, {\"cell\": \"Photosensitivity (N+/N-)\", \"bbox\": [1, 99, 77, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [202, 101, 230, 111]}, {\"cell\": \"173/185\", \"bbox\": [336, 101, 363, 111]}, {\"cell\": \"0.20\", \"bbox\": [470, 101, 484, 111]}, {\"cell\": \"Oral ulcers (N+/N-)\", \"bbox\": [1, 113, 60, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [202, 115, 230, 125]}, {\"cell\": \"172/186\", \"bbox\": [336, 115, 363, 125]}, {\"cell\": \"0.15\", \"bbox\": [470, 115, 484, 125]}, {\"cell\": \"Arthritis (N+/N-)\", \"bbox\": [1, 127, 51, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [202, 129, 226, 139]}, {\"cell\": \"267/91\", \"bbox\": [336, 129, 360, 139]}, {\"cell\": \"0.54\", \"bbox\": [470, 129, 484, 139]}, {\"cell\": \"Serositis (N+/N-)\", \"bbox\": [1, 141, 52, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [202, 143, 230, 153]}, {\"cell\": \"122/236\", \"bbox\": [336, 143, 363, 153]}, {\"cell\": \"0.34\", \"bbox\": [470, 143, 484, 153]}, {\"cell\": \"Renal disorder (N+/N-)\", \"bbox\": [1, 155, 72, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [202, 157, 230, 167]}, {\"cell\": \"108/250\", \"bbox\": [336, 157, 363, 167]}, {\"cell\": \"0.38\", \"bbox\": [470, 157, 484, 167]}, {\"cell\": \"Neurologic disorder (N+/N-)\", \"bbox\": [1, 169, 90, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [202, 171, 226, 181]}, {\"cell\": \"35/293\", \"bbox\": [336, 171, 360, 181]}, {\"cell\": \"0.10\", \"bbox\": [470, 171, 484, 181]}, {\"cell\": \"Hematologic disorder (N+/N-)\", \"bbox\": [1, 183, 96, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [202, 185, 226, 195]}, {\"cell\": \"337/21\", \"bbox\": [336, 185, 360, 195]}, {\"cell\": \"0.63\", \"bbox\": [470, 185, 484, 195]}, {\"cell\": \"Immunologic disorder (N+/N-)\", \"bbox\": [1, 197, 98, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [202, 199, 226, 209]}, {\"cell\": \"292/66\", \"bbox\": [336, 199, 360, 209]}, {\"cell\": \"0.77\", \"bbox\": [470, 199, 484, 209]}, {\"cell\": \"Antinuclear antibodies (N+/N-)\", \"bbox\": [1, 211, 99, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [202, 213, 226, 223]}, {\"cell\": \"347/11\", \"bbox\": [336, 213, 360, 223]}, {\"cell\": \"0.84\", \"bbox\": [470, 213, 484, 223]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5471877_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL][EMPTY_CELL]Flesh Seed
m/zUBMEWUBMEW
Trans-ferulic acid193.0506X XX X X [EMPTY_CELL]X [EMPTY_CELL]X X
p-coumaric acid163.0401XXX XXX [EMPTY_CELL][EMPTY_CELL]XX
hydroxybenzoic acid 137.0244[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]X X [EMPTY_CELL]X X
Salicylic acid137.0244[EMPTY_CELL][EMPTY_CELL][x] [x] X [EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Catechin289.0718X [EMPTY_CELL]X X X X X [EMPTY_CELL][EMPTY_CELL]X
Gallic acid169.0143XXXXXXX[EMPTY_CELL]XX
Kaempferol285.0405X[EMPTY_CELL]XX[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Naringenin271.0612XXXX[EMPTY_CELL]X[EMPTY_CELL][EMPTY_CELL]X[EMPTY_CELL]
Quercetin301.0354X [EMPTY_CELL]X X X X [EMPTY_CELL][EMPTY_CELL]X[x]
Quercetin 3-glucoside463.0882X X X XX XX [EMPTY_CELL]X X
Quercetin 3 rutinoside609.1461XXXXXX[EMPTY_CELL][EMPTY_CELL]XX
Quercetin 3-xyloside433.0776XXXXX[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]X[x]
Chlorogenic acid353.0878X[EMPTY_CELL][x][EMPTY_CELL][EMPTY_CELL][x][EMPTY_CELL][EMPTY_CELL]X [EMPTY_CELL]
Cinnamic acid147.0452X [EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Vanillic acid167.0350[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]X[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Isorhamnetin-3-glucoside477.1039[x][EMPTY_CELL][x][x][x]X [EMPTY_CELL][EMPTY_CELL]X[EMPTY_CELL]
Quercetin 3,4′-diglucoside625.1410X[EMPTY_CELL]XXXX[EMPTY_CELL][EMPTY_CELL]XX
Procyanidin B1577.1352[x][EMPTY_CELL][x] [x] [x][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][x]
Eriodicyol 7-glucoside449.1089X[EMPTY_CELL]XXX[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]X X
Ellagic acid300.9990[EMPTY_CELL]X XXXXX [EMPTY_CELL]XX
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Flesh \", \"bbox\": [189, 4, 208, 11]}, {\"cell\": \"Seed\", \"bbox\": [339, 4, 356, 11]}, {\"cell\": \"m/z\", \"bbox\": [100, 16, 113, 23]}, {\"cell\": \"U\", \"bbox\": [137, 16, 144, 23]}, {\"cell\": \"B\", \"bbox\": [172, 16, 178, 23]}, {\"cell\": \"M\", \"bbox\": [199, 16, 208, 23]}, {\"cell\": \"E\", \"bbox\": [229, 16, 236, 23]}, {\"cell\": \"W\", \"bbox\": [257, 16, 266, 23]}, {\"cell\": \"U\", \"bbox\": [286, 16, 294, 23]}, {\"cell\": \"B\", \"bbox\": [315, 16, 322, 23]}, {\"cell\": \"M\", \"bbox\": [343, 16, 352, 23]}, {\"cell\": \"E\", \"bbox\": [373, 16, 379, 23]}, {\"cell\": \"W\", \"bbox\": [401, 16, 410, 23]}, {\"cell\": \"Trans-ferulic acid\", \"bbox\": [19, 29, 74, 38]}, {\"cell\": \"193.0506\", \"bbox\": [96, 29, 123, 38]}, {\"cell\": \"X \", \"bbox\": [137, 29, 144, 38]}, {\"cell\": \"X\", \"bbox\": [172, 29, 178, 38]}, {\"cell\": \"X \", \"bbox\": 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\"hydroxybenzoic acid \", \"bbox\": [13, 46, 80, 55]}, {\"cell\": \"137.0244\", \"bbox\": [96, 46, 123, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X \", \"bbox\": [287, 46, 293, 55]}, {\"cell\": \"X \", \"bbox\": [315, 46, 322, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 46, 351, 55]}, {\"cell\": \"X \", \"bbox\": [373, 46, 380, 55]}, {\"cell\": \"X \", \"bbox\": [402, 46, 408, 55]}, {\"cell\": \"Salicylic acid\", \"bbox\": [26, 54, 68, 63]}, {\"cell\": \"137.0244\", \"bbox\": [96, 54, 123, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[x] \", \"bbox\": [199, 54, 209, 63]}, {\"cell\": \"[x] \", \"bbox\": [227, 54, 238, 63]}, {\"cell\": \"X \", \"bbox\": [258, 54, 265, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Catechin\", \"bbox\": [32, 63, 61, 72]}, {\"cell\": \"289.0718\", \"bbox\": [96, 63, 123, 72]}, {\"cell\": \"X \", \"bbox\": [137, 63, 144, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X \", \"bbox\": [201, 63, 207, 72]}, {\"cell\": \"X \", \"bbox\": [229, 63, 236, 72]}, {\"cell\": \"X \", \"bbox\": [258, 63, 265, 72]}, {\"cell\": \"X \", \"bbox\": [287, 63, 293, 72]}, {\"cell\": \"X \", \"bbox\": [315, 63, 322, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 63, 351, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X \", \"bbox\": [402, 63, 408, 72]}, {\"cell\": \"Gallic acid\", \"bbox\": [29, 71, 64, 81]}, {\"cell\": \"169.0143\", \"bbox\": [96, 71, 123, 81]}, {\"cell\": \"X\", \"bbox\": [137, 71, 144, 81]}, {\"cell\": \"X\", \"bbox\": [172, 71, 178, 81]}, 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\"bbox\": [28, 89, 66, 98]}, {\"cell\": \"271.0612\", \"bbox\": [96, 89, 123, 98]}, {\"cell\": \"X\", \"bbox\": [137, 89, 144, 98]}, {\"cell\": \"X\", \"bbox\": [172, 89, 178, 98]}, {\"cell\": \"X\", \"bbox\": [201, 89, 207, 98]}, {\"cell\": \"X\", \"bbox\": [229, 89, 236, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [287, 89, 293, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 89, 351, 98]}, {\"cell\": \"X\", \"bbox\": [373, 89, 380, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Quercetin\", \"bbox\": [30, 97, 63, 106]}, {\"cell\": \"301.0354\", \"bbox\": [96, 97, 123, 106]}, {\"cell\": \"X \", \"bbox\": [137, 97, 144, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X \", \"bbox\": [201, 97, 207, 106]}, {\"cell\": \"X \", \"bbox\": [229, 97, 236, 106]}, {\"cell\": \"X \", \"bbox\": [258, 97, 265, 106]}, {\"cell\": \"X \", \"bbox\": [287, 97, 293, 106]}, {\"cell\": 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\"bbox\": [344, 123, 351, 132]}, {\"cell\": \"X\", \"bbox\": [373, 123, 380, 132]}, {\"cell\": \"[x]\", \"bbox\": [400, 123, 410, 132]}, {\"cell\": \"Chlorogenic acid\", \"bbox\": [20, 132, 74, 141]}, {\"cell\": \"353.0878\", \"bbox\": [96, 132, 123, 141]}, {\"cell\": \"X\", \"bbox\": [137, 132, 144, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[x]\", \"bbox\": [199, 132, 209, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[x]\", \"bbox\": [285, 132, 295, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 132, 351, 141]}, {\"cell\": \"X \", \"bbox\": [373, 132, 380, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Cinnamic acid\", \"bbox\": [23, 140, 70, 149]}, {\"cell\": \"147.0452\", \"bbox\": [96, 140, 123, 149]}, {\"cell\": \"X \", \"bbox\": [137, 140, 144, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Vanillic acid\", \"bbox\": [27, 149, 67, 158]}, {\"cell\": \"167.0350\", \"bbox\": [96, 149, 123, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [287, 149, 293, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Isorhamnetin-3-glucoside\", \"bbox\": [6, 157, 87, 166]}, {\"cell\": \"477.1039\", \"bbox\": [96, 157, 123, 166]}, {\"cell\": \"[x]\", \"bbox\": [136, 157, 146, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[x]\", \"bbox\": [199, 157, 209, 166]}, {\"cell\": \"[x]\", \"bbox\": [227, 157, 238, 166]}, {\"cell\": \"[x]\", \"bbox\": [256, 157, 266, 166]}, {\"cell\": \"X \", \"bbox\": [287, 157, 293, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 157, 351, 166]}, {\"cell\": \"X\", \"bbox\": [373, 157, 380, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Quercetin 3,4′-diglucoside\", \"bbox\": [5, 165, 88, 175]}, {\"cell\": \"625.1410\", \"bbox\": [96, 166, 123, 175]}, {\"cell\": \"X\", \"bbox\": [137, 166, 144, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [201, 166, 207, 175]}, {\"cell\": \"X\", \"bbox\": [229, 166, 236, 175]}, {\"cell\": \"X\", \"bbox\": [258, 166, 265, 175]}, {\"cell\": \"X\", \"bbox\": [287, 166, 293, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [342, 166, 353, 175]}, {\"cell\": \"X\", \"bbox\": [373, 166, 380, 175]}, {\"cell\": \"X \", \"bbox\": [402, 166, 408, 175]}, {\"cell\": \"Procyanidin B1\", \"bbox\": [22, 175, 71, 184]}, {\"cell\": \"577.1352\", \"bbox\": [96, 175, 123, 184]}, {\"cell\": \"[x]\", \"bbox\": [136, 175, 146, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[x] \", \"bbox\": [199, 175, 209, 184]}, {\"cell\": \"[x] \", \"bbox\": [227, 175, 238, 184]}, {\"cell\": \"[x]\", \"bbox\": [256, 175, 266, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 175, 351, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[x] \", \"bbox\": [400, 175, 410, 184]}, {\"cell\": \"Eriodicyol 7-glucoside\", \"bbox\": [11, 183, 82, 192]}, {\"cell\": \"449.1089\", \"bbox\": [96, 183, 123, 192]}, {\"cell\": \"X\", \"bbox\": [137, 183, 144, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [201, 183, 207, 192]}, {\"cell\": \"X\", \"bbox\": [229, 183, 236, 192]}, {\"cell\": \"X\", \"bbox\": [258, 183, 265, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 183, 351, 192]}, {\"cell\": \"X \", \"bbox\": [373, 183, 380, 192]}, {\"cell\": \"X \", \"bbox\": [402, 183, 408, 192]}, {\"cell\": \"Ellagic acid\", \"bbox\": [28, 192, 66, 201]}, {\"cell\": \"300.9990\", \"bbox\": [96, 192, 123, 201]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X \", \"bbox\": [172, 192, 178, 201]}, {\"cell\": \"X\", \"bbox\": [201, 192, 207, 201]}, {\"cell\": \"X\", \"bbox\": [229, 192, 236, 201]}, {\"cell\": \"X\", \"bbox\": [258, 192, 265, 201]}, {\"cell\": \"X\", \"bbox\": [287, 192, 293, 201]}, {\"cell\": \"X \", \"bbox\": [315, 192, 322, 201]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 192, 351, 201]}, {\"cell\": \"X\", \"bbox\": [373, 192, 380, 201]}, {\"cell\": \"X \", \"bbox\": [402, 192, 408, 201]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5977091_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Functional CategoryRepresentative GenesAverage p-value
stress responseATP1, VMA1, CIT2, HAL1, PCK1, STM1, SLX4, HMF1, APJ1, AIM14, YVC1, GSH2, GSH1, MIG3, SSC1, FRT1, HKR1,IZH13[EMPTY_CELL]
cell cycle controlFigure 1, KEL2, MPS1, RAD24, VHS1, BAR1, SPO22, SSP2, SSP1, SPO11, HOP2, CDC28[EMPTY_CELL]
carbohydrate metabolism/energy metabolismQCR8, VMA5, MTH1, KGD2, ISA1, CPS1, PDE1, MLS1, ATP18, ATP19, VMA11, YIA6, RIB1[EMPTY_CELL]
ribosome assembly/ protein synthesisRPS3, RPS13, RPL7A, RPS6B, RPS2, RPS16B, RPS21B, RPS9B, RPS23B, RPS0B, RPS22B, RPS8A, RPS7A, RPS24B; RPL43B, RPL2A, RRP5, RPL18A, PRE5, RPS17B, RPS5, RPL8A, RPS30A, RPL16A, RPS18B, RPL26A[EMPTY_CELL]
transcription / translation regulationACS1, DED81, PMT4, SPT2, HTS1, SES1, BUR6, URA4, PRO3, THS1, ARC1, TEF4, CDC73, ADK1, TRP2, ARO8, IMD4, EGD1, TIF4631, GLN4, ILV2,CGI121, STP1, SLU7, MMF1, ARO4, ARG4, PRP45, URA5, DDS1, LYS2, POL5[EMPTY_CELL]
protein degradationPRE9, OLA1, VID24, DAS1, SAN1, UBA1, YLR224W, PEX28, PIB1[EMPTY_CELL]
vesicle traffickingVPH1, CHC1, SEC 23, VAC8, SAM50, FEN1, EMP70, VPS75, TRX1,BET1, VPS1, ATG23, COG1[EMPTY_CELL]
cell wall related proteinsROT2, KRE5, SKG1, PMT6, GAS4[EMPTY_CELL]
cell nucleus traffickingNUP192, NUP188, NUP42, NUP133, NUP82, KAP104[EMPTY_CELL]
sulfur metabolismHOM2, MET4[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Functional Category\", \"bbox\": [0, 25, 65, 37]}, {\"cell\": \"Representative Genes\", \"bbox\": [66, 25, 137, 37]}, {\"cell\": \"Average p-value\", \"bbox\": [205, 14, 241, 37]}, {\"cell\": \"stress response\", \"bbox\": [0, 48, 48, 59]}, {\"cell\": \"ATP1, VMA1, CIT2, HAL1, PCK1, STM1, SLX4, HMF1, APJ1, AIM14, YVC1, GSH2, GSH1, MIG3, SSC1, FRT1, HKR1,IZH13\", \"bbox\": [66, 37, 192, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 48, 227, 59]}, {\"cell\": \"cell cycle control\", \"bbox\": [0, 81, 50, 92]}, {\"cell\": \"Figure 1, KEL2, MPS1, RAD24, VHS1, BAR1, SPO22, SSP2, SSP1, SPO11, HOP2, CDC28\", \"bbox\": [66, 70, 199, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 81, 223, 92]}, {\"cell\": \"carbohydrate metabolism/energy metabolism\", \"bbox\": [0, 103, 57, 136]}, {\"cell\": \"QCR8, VMA5, MTH1, KGD2, ISA1, CPS1, PDE1, MLS1, ATP18, ATP19, VMA11, YIA6, RIB1\", \"bbox\": [66, 103, 199, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 114, 223, 125]}, {\"cell\": \"ribosome assembly/ protein synthesis\", \"bbox\": [0, 158, 60, 180]}, {\"cell\": \"RPS3, RPS13, RPL7A, RPS6B, RPS2, RPS16B, RPS21B, RPS9B, RPS23B, RPS0B, RPS22B, RPS8A, RPS7A, RPS24B; RPL43B, RPL2A, RRP5, RPL18A, PRE5, RPS17B, RPS5, RPL8A, RPS30A, RPL16A, RPS18B, RPL26A\", \"bbox\": [66, 136, 198, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 164, 223, 175]}, {\"cell\": \"transcription / translation regulation\", \"bbox\": [0, 219, 42, 252]}, {\"cell\": \"ACS1, DED81, PMT4, SPT2, HTS1, SES1, BUR6, URA4, PRO3, THS1, ARC1, TEF4, CDC73, ADK1, TRP2, ARO8, IMD4, EGD1, TIF4631, GLN4, ILV2,CGI121, STP1, SLU7, MMF1, ARO4, ARG4, PRP45, URA5, DDS1, LYS2, POL5\", \"bbox\": [66, 202, 197, 268]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 230, 223, 241]}, {\"cell\": \"protein degradation\", \"bbox\": [0, 274, 58, 285]}, {\"cell\": \"PRE9, OLA1, VID24, DAS1, SAN1, UBA1, YLR224W, PEX28, PIB1\", \"bbox\": [66, 269, 192, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 274, 223, 285]}, {\"cell\": \"vesicle trafficking\", \"bbox\": [0, 302, 52, 313]}, {\"cell\": \"VPH1, CHC1, SEC 23, VAC8, SAM50, FEN1, EMP70, VPS75, TRX1,BET1, VPS1, ATG23, COG1\", \"bbox\": [66, 291, 200, 324]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 302, 227, 313]}, {\"cell\": \"cell wall related proteins\", \"bbox\": [0, 324, 47, 346]}, {\"cell\": \"ROT2, KRE5, SKG1, PMT6, GAS4\", \"bbox\": [66, 329, 170, 341]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 329, 227, 340]}, {\"cell\": \"cell nucleus trafficking\", \"bbox\": [0, 346, 36, 368]}, {\"cell\": \"NUP192, NUP188, NUP42, NUP133, NUP82, KAP104\", \"bbox\": [66, 346, 200, 368]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 351, 227, 362]}, {\"cell\": \"sulfur metabolism\", \"bbox\": [0, 368, 53, 379]}, {\"cell\": \"HOM2, MET4\", \"bbox\": [66, 368, 108, 379]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 368, 227, 379]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3793944_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]6-weeks postoperative4-months postoperative12-months postoperative[EMPTY_CELL]
Pre-interventionPost-interventionPost-intervention
[EMPTY_CELL]InterventionControlInterventionControlInterventionControlP-value for group effect*
(n = 11)(n = 10)(n = 11)(n = 10)(n = 11)(n = 10)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]331.0 (6.4)287.1 (84.8)450.6 (61.4)435.8 (99.2)500.6 (99.6)495.6 (75.6)0.92
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]0.55 (0.17)0.46 (0.13)0.72 (0.09)0.77 (0.19)0.75 (0.11)0.84 (0.14)0.96
[EMPTY_CELL]0.73 (0.15)0.70 (0.10)0.86 (0.08)0.93 (0.11)0.88 (0.08)0.93 (0.08)0.91
[EMPTY_CELL]0.74 (0.10)0.64 (0.13)0.83 (0.07)0.83 (0.15)0.85(0.08)0.90 (0.11)0.80
[EMPTY_CELL]1.2 (0.63)1.3 (0.29)1.1 (0.44)1.1 (0.45)1.2 (0.38)1.2 (0.22)0.90
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]77.3 (17.8)80.6 (15.7)86.4 (14.2)82.2 (10.0)91.7 (13.2)87.0 (18.9)0.65
[EMPTY_CELL]71.8 (12.8)70.4 (17.6)82.4 (13.5)81.2 (1.7)90.8 (12.7)85.6 (15.6)0.98
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]42.7 (19.8)33.5 (18.7)67.1 (17.1)64.4 (18.6)82.8 (10.3)73.3 (19.6)0.48
[EMPTY_CELL]15.9 (35.8)13.9 (33.3)63.6 (45.2)66.7 (50.0)22.9 (25.3)75.0 (40.8)0.78
[EMPTY_CELL]49.5 (9.5)41.0 (27.0)71.5 (24.3)56.8 (25.1)82.3 (21.4)73.4 (27.7)0.31
[EMPTY_CELL]73.9 (21.7)69.9 (23.1)75.5 (5.9)78.8 (17.2)83.4 (12.1)69.9 (16.7)0.70
[EMPTY_CELL]48.6 (15.2)53.3 (18.9)68.6 (19.5)63.9 (19.3)75.9 (15.5)69.5 (24.3)0.95
[EMPTY_CELL]36.4 (45.8)59.3 (49.4)93.9 (20.1)77.8 (37.3)88.9 (33.3)80.0 (35.8)0.63
[EMPTY_CELL]44.3 (25.2)56.9 (36.5)77.3 (23.6)69.4 (27.3)91.7 (16.5)76.3 (24.6)1.00
[EMPTY_CELL]70.5 (15.2)80.4 (19.8)86.5 (10.2)84.9 (14.5)84.0 (10.4)80.7 (20.1)0.38
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"6-weeks postoperative\", \"bbox\": [180, 4, 261, 13]}, {\"cell\": \"4-months postoperative\", \"bbox\": [326, 4, 411, 13]}, {\"cell\": \"12-months postoperative\", \"bbox\": [473, 4, 563, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Pre-intervention\", \"bbox\": [191, 17, 250, 27]}, {\"cell\": \"Post-intervention\", \"bbox\": [338, 17, 399, 27]}, {\"cell\": \"Post-intervention\", \"bbox\": [487, 17, 549, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Intervention\", \"bbox\": [163, 30, 207, 40]}, {\"cell\": \"Control\", \"bbox\": [245, 30, 273, 40]}, {\"cell\": \"Intervention\", \"bbox\": [311, 30, 355, 40]}, {\"cell\": \"Control\", \"bbox\": [393, 30, 421, 40]}, {\"cell\": \"Intervention\", \"bbox\": [460, 30, 504, 40]}, {\"cell\": \"Control\", \"bbox\": [544, 30, 571, 40]}, {\"cell\": \"P-value for group effect*\", \"bbox\": [610, 30, 645, 58]}, {\"cell\": \"(n = 11)\", \"bbox\": [171, 43, 199, 53]}, {\"cell\": \"(n = 10)\", \"bbox\": [245, 43, 273, 53]}, {\"cell\": \"(n = 11)\", \"bbox\": [319, 43, 347, 53]}, {\"cell\": \"(n = 10)\", \"bbox\": [393, 43, 421, 53]}, {\"cell\": \"(n = 11)\", \"bbox\": [468, 43, 496, 53]}, {\"cell\": \"(n = 10)\", \"bbox\": [544, 43, 571, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 61, 105, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 75, 130, 85]}, {\"cell\": \"331.0 (6.4)\", \"bbox\": [168, 75, 202, 85]}, {\"cell\": \"287.1 (84.8)\", \"bbox\": [240, 75, 278, 85]}, {\"cell\": \"450.6 (61.4)\", \"bbox\": [314, 75, 352, 85]}, {\"cell\": \"435.8 (99.2)\", \"bbox\": [388, 75, 426, 85]}, {\"cell\": \"500.6 (99.6)\", \"bbox\": [463, 75, 501, 85]}, {\"cell\": \"495.6 (75.6)\", \"bbox\": [538, 75, 576, 85]}, {\"cell\": \"0.92\", \"bbox\": [620, 75, 635, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 89, 54, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 103, 70, 113]}, {\"cell\": \"0.55 (0.17)\", \"bbox\": [168, 103, 202, 113]}, {\"cell\": \"0.46 (0.13)\", \"bbox\": [242, 103, 276, 113]}, {\"cell\": \"0.72 (0.09)\", \"bbox\": [316, 103, 350, 113]}, {\"cell\": \"0.77 (0.19)\", \"bbox\": [390, 103, 424, 113]}, {\"cell\": \"0.75 (0.11)\", \"bbox\": [465, 103, 499, 113]}, {\"cell\": \"0.84 (0.14)\", \"bbox\": [540, 103, 575, 113]}, {\"cell\": \"0.96\", \"bbox\": [620, 103, 635, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 117, 73, 127]}, {\"cell\": \"0.73 (0.15)\", \"bbox\": [168, 117, 202, 127]}, {\"cell\": \"0.70 (0.10)\", \"bbox\": [242, 117, 276, 127]}, {\"cell\": \"0.86 (0.08)\", \"bbox\": [316, 117, 350, 127]}, {\"cell\": \"0.93 (0.11)\", \"bbox\": [390, 117, 424, 127]}, {\"cell\": \"0.88 (0.08)\", \"bbox\": [465, 117, 499, 127]}, {\"cell\": \"0.93 (0.08)\", \"bbox\": [540, 117, 575, 127]}, {\"cell\": \"0.91\", \"bbox\": [620, 117, 635, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 131, 87, 141]}, {\"cell\": \"0.74 (0.10)\", \"bbox\": [168, 131, 202, 141]}, {\"cell\": \"0.64 (0.13)\", \"bbox\": [242, 131, 276, 141]}, {\"cell\": \"0.83 (0.07)\", \"bbox\": [316, 131, 350, 141]}, {\"cell\": \"0.83 (0.15)\", \"bbox\": [390, 131, 424, 141]}, {\"cell\": \"0.85(0.08)\", \"bbox\": [466, 131, 498, 141]}, {\"cell\": \"0.90 (0.11)\", \"bbox\": [540, 131, 575, 141]}, {\"cell\": \"0.80\", \"bbox\": [620, 131, 635, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 145, 84, 155]}, {\"cell\": \"1.2 (0.63)\", \"bbox\": [170, 145, 200, 155]}, {\"cell\": \"1.3 (0.29)\", \"bbox\": [244, 145, 274, 155]}, {\"cell\": \"1.1 (0.44)\", \"bbox\": [318, 145, 348, 155]}, {\"cell\": \"1.1 (0.45)\", \"bbox\": [392, 145, 422, 155]}, {\"cell\": \"1.2 (0.38)\", \"bbox\": [467, 145, 497, 155]}, {\"cell\": \"1.2 (0.22)\", \"bbox\": [542, 145, 573, 155]}, {\"cell\": \"0.90\", \"bbox\": [620, 145, 635, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 159, 74, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 173, 33, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 187, 79, 197]}, {\"cell\": \"77.3 (17.8)\", \"bbox\": [168, 187, 202, 197]}, {\"cell\": \"80.6 (15.7)\", \"bbox\": [242, 187, 276, 197]}, {\"cell\": \"86.4 (14.2)\", \"bbox\": [316, 187, 350, 197]}, {\"cell\": \"82.2 (10.0)\", \"bbox\": [390, 187, 424, 197]}, {\"cell\": \"91.7 (13.2)\", \"bbox\": [465, 187, 499, 197]}, {\"cell\": \"87.0 (18.9)\", \"bbox\": [540, 187, 575, 197]}, {\"cell\": \"0.65\", \"bbox\": [620, 187, 635, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 201, 92, 211]}, {\"cell\": \"71.8 (12.8)\", \"bbox\": [168, 201, 202, 211]}, {\"cell\": \"70.4 (17.6)\", \"bbox\": [242, 201, 276, 211]}, {\"cell\": \"82.4 (13.5)\", \"bbox\": [316, 201, 350, 211]}, {\"cell\": \"81.2 (1.7)\", \"bbox\": [392, 201, 422, 211]}, {\"cell\": \"90.8 (12.7)\", \"bbox\": [465, 201, 499, 211]}, {\"cell\": \"85.6 (15.6)\", \"bbox\": [540, 201, 575, 211]}, {\"cell\": \"0.98\", \"bbox\": [620, 201, 635, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 215, 35, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 229, 120, 239]}, {\"cell\": \"42.7 (19.8)\", \"bbox\": [168, 229, 202, 239]}, {\"cell\": \"33.5 (18.7)\", \"bbox\": [242, 229, 276, 239]}, {\"cell\": \"67.1 (17.1)\", \"bbox\": [316, 229, 350, 239]}, {\"cell\": \"64.4 (18.6)\", \"bbox\": [390, 229, 424, 239]}, {\"cell\": \"82.8 (10.3)\", \"bbox\": [465, 229, 499, 239]}, {\"cell\": \"73.3 (19.6)\", \"bbox\": [540, 229, 575, 239]}, {\"cell\": \"0.48\", \"bbox\": [620, 229, 635, 239]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 243, 105, 253]}, {\"cell\": \"15.9 (35.8)\", \"bbox\": [168, 243, 202, 253]}, {\"cell\": \"13.9 (33.3)\", \"bbox\": [242, 243, 276, 253]}, {\"cell\": \"63.6 (45.2)\", \"bbox\": [316, 243, 350, 253]}, {\"cell\": \"66.7 (50.0)\", \"bbox\": [390, 243, 424, 253]}, {\"cell\": \"22.9 (25.3)\", \"bbox\": [465, 243, 499, 253]}, {\"cell\": \"75.0 (40.8)\", \"bbox\": [540, 243, 575, 253]}, {\"cell\": \"0.78\", \"bbox\": [620, 243, 635, 253]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 257, 101, 267]}, {\"cell\": \"49.5 (9.5)\", \"bbox\": [170, 257, 200, 267]}, {\"cell\": \"41.0 (27.0)\", \"bbox\": [242, 257, 276, 267]}, {\"cell\": \"71.5 (24.3)\", \"bbox\": [316, 257, 350, 267]}, {\"cell\": \"56.8 (25.1)\", \"bbox\": [390, 257, 424, 267]}, {\"cell\": \"82.3 (21.4)\", \"bbox\": [465, 257, 499, 267]}, {\"cell\": \"73.4 (27.7)\", \"bbox\": [540, 257, 575, 267]}, {\"cell\": \"0.31\", \"bbox\": [620, 257, 635, 267]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 271, 111, 281]}, {\"cell\": \"73.9 (21.7)\", \"bbox\": [168, 271, 202, 281]}, {\"cell\": \"69.9 (23.1)\", \"bbox\": [242, 271, 276, 281]}, {\"cell\": \"75.5 (5.9)\", \"bbox\": [318, 271, 348, 281]}, {\"cell\": \"78.8 (17.2)\", \"bbox\": [390, 271, 424, 281]}, {\"cell\": \"83.4 (12.1)\", \"bbox\": [465, 271, 499, 281]}, {\"cell\": \"69.9 (16.7)\", \"bbox\": [540, 271, 575, 281]}, {\"cell\": \"0.70\", \"bbox\": [620, 271, 635, 281]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 285, 86, 295]}, {\"cell\": \"48.6 (15.2)\", \"bbox\": [168, 285, 202, 295]}, {\"cell\": \"53.3 (18.9)\", \"bbox\": [242, 285, 276, 295]}, {\"cell\": \"68.6 (19.5)\", \"bbox\": [316, 285, 350, 295]}, {\"cell\": \"63.9 (19.3)\", \"bbox\": [390, 285, 424, 295]}, {\"cell\": \"75.9 (15.5)\", \"bbox\": [465, 285, 499, 295]}, {\"cell\": \"69.5 (24.3)\", \"bbox\": [540, 285, 575, 295]}, {\"cell\": \"0.95\", \"bbox\": [620, 285, 635, 295]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 299, 112, 309]}, {\"cell\": \"36.4 (45.8)\", \"bbox\": [168, 299, 202, 309]}, {\"cell\": \"59.3 (49.4)\", \"bbox\": [242, 299, 276, 309]}, {\"cell\": \"93.9 (20.1)\", \"bbox\": [316, 299, 350, 309]}, {\"cell\": \"77.8 (37.3)\", \"bbox\": [390, 299, 424, 309]}, {\"cell\": \"88.9 (33.3)\", \"bbox\": [465, 299, 499, 309]}, {\"cell\": \"80.0 (35.8)\", \"bbox\": [540, 299, 575, 309]}, {\"cell\": \"0.63\", \"bbox\": [620, 299, 635, 309]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 313, 112, 323]}, {\"cell\": \"44.3 (25.2)\", \"bbox\": [168, 313, 202, 323]}, {\"cell\": \"56.9 (36.5)\", \"bbox\": [242, 313, 276, 323]}, {\"cell\": \"77.3 (23.6)\", \"bbox\": [316, 313, 350, 323]}, {\"cell\": \"69.4 (27.3)\", \"bbox\": [390, 313, 424, 323]}, {\"cell\": \"91.7 (16.5)\", \"bbox\": [465, 313, 499, 323]}, {\"cell\": \"76.3 (24.6)\", \"bbox\": [540, 313, 575, 323]}, {\"cell\": \"1.00\", \"bbox\": [620, 313, 635, 323]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 327, 110, 337]}, {\"cell\": \"70.5 (15.2)\", \"bbox\": [168, 327, 202, 337]}, {\"cell\": \"80.4 (19.8)\", \"bbox\": [242, 327, 276, 337]}, {\"cell\": \"86.5 (10.2)\", \"bbox\": [316, 327, 350, 337]}, {\"cell\": \"84.9 (14.5)\", \"bbox\": [390, 327, 424, 337]}, {\"cell\": \"84.0 (10.4)\", \"bbox\": [465, 327, 499, 337]}, {\"cell\": \"80.7 (20.1)\", \"bbox\": [540, 327, 575, 337]}, {\"cell\": \"0.38\", \"bbox\": [620, 327, 635, 337]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4060584_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Systemic factorsIndividual factors
[EMPTY_CELL]Poor governanceNone
[EMPTY_CELL]
[EMPTY_CELL]
[EMPTY_CELL]
[EMPTY_CELL]
[EMPTY_CELL]Pharmaceutical market related factorsPharmaceutical market related factors
[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Survival in the market (Pressure to achieve sale targets, fear of being fired if targets are not achieved)
[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]
[EMPTY_CELL]Normalization of corruptionSelf-interest maximization
[EMPTY_CELL] Professional ethics
[EMPTY_CELL] Personal values
[EMPTY_CELL]
[EMPTY_CELL]
[EMPTY_CELL]
[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Systemic factors\", \"bbox\": [102, 4, 156, 13]}, {\"cell\": \"Individual factors\", \"bbox\": [307, 4, 363, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 93, 27]}, {\"cell\": \"Poor governance\", \"bbox\": [102, 17, 159, 27]}, {\"cell\": \"None\", \"bbox\": [307, 17, 326, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [110, 31, 144, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [110, 45, 154, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [110, 59, 158, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [110, 73, 153, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 87, 79, 97]}, {\"cell\": \"Pharmaceutical market related factors\", \"bbox\": [102, 87, 225, 97]}, {\"cell\": \"Pharmaceutical market related factors\", \"bbox\": [307, 87, 429, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [110, 101, 185, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [110, 115, 194, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [110, 129, 300, 139]}, {\"cell\": \"Survival in the market (Pressure to achieve sale targets, fear of being fired if targets are not achieved)\", \"bbox\": [307, 129, 484, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 152, 222, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [110, 166, 172, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [110, 180, 257, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [110, 194, 178, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 208, 96, 218]}, {\"cell\": \"Normalization of corruption\", \"bbox\": [102, 208, 193, 218]}, {\"cell\": \"Self-interest maximization\", \"bbox\": [307, 208, 391, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [110, 222, 206, 232]}, {\"cell\": \" Professional ethics\", \"bbox\": [315, 222, 375, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [110, 236, 173, 246]}, {\"cell\": \" Personal values\", \"bbox\": [315, 236, 365, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 250, 384, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 264, 401, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 278, 351, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 292, 357, 302]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC6064099_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Schizophrenia cohortAffective disorder cohort
[EMPTY_CELL]Scz (n=30)Control (n=30)MDD (n=10)BP (n=10)Control (n=9)
[EMPTY_CELL]48.4±3.048.9±3.162.4±5.059.8±4.062.4±4.6
[EMPTY_CELL]40.5±2.443.2±3.039.1±5.031.1±4.547.4±6.0
[EMPTY_CELL]6.26±0.036.40±0.036.58±0.066.35±0.066.29±0.09
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]8.81±0.098.93±0.166.77±0.275.71±0.536.17±0.51
[EMPTY_CELL]6.04±0.296.00±23NANANA
[EMPTY_CELL]7.87±0.167.78±0.26NANANA
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]30L28L/2R10L10L10L
[EMPTY_CELL]24M/6F24M/6F6M/4F6M/4F6M/3F
[EMPTY_CELL]8/300/308/103/100/9
[EMPTY_CELL]21.8±2.8NA17.6±3.420.3±4.1NA
[EMPTY_CELL]560±96NANA213±146NA
[EMPTY_CELL]13.3±3.2NANA0.44±0.35NA
[EMPTY_CELL]13/30NA0/102/10NA
[EMPTY_CELL]12/30NA1/105/10NA
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Schizophrenia cohort\", \"bbox\": [158, 7, 228, 16]}, {\"cell\": \"Affective disorder cohort\", \"bbox\": [362, 7, 442, 16]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Scz (n=30)\", \"bbox\": [128, 29, 167, 39]}, {\"cell\": \"Control (n=30)\", \"bbox\": [206, 29, 258, 39]}, {\"cell\": \"MDD (n=10)\", \"bbox\": [297, 29, 342, 39]}, {\"cell\": \"BP (n=10)\", \"bbox\": [382, 29, 419, 39]}, {\"cell\": \"Control (n=9)\", \"bbox\": [458, 29, 507, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 46, 45, 56]}, {\"cell\": \"48.4±3.0\", \"bbox\": [131, 46, 165, 56]}, {\"cell\": \"48.9±3.1\", \"bbox\": [215, 46, 249, 56]}, {\"cell\": \"62.4±5.0\", \"bbox\": [303, 46, 337, 56]}, {\"cell\": \"59.8±4.0\", \"bbox\": [383, 46, 417, 56]}, {\"cell\": \"62.4±4.6\", \"bbox\": [465, 46, 499, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 55, 31, 65]}, {\"cell\": \"40.5±2.4\", \"bbox\": [131, 55, 165, 65]}, {\"cell\": \"43.2±3.0\", \"bbox\": [215, 55, 249, 65]}, {\"cell\": \"39.1±5.0\", \"bbox\": [303, 55, 337, 65]}, {\"cell\": \"31.1±4.5\", \"bbox\": [383, 55, 417, 65]}, {\"cell\": \"47.4±6.0\", \"bbox\": [465, 55, 499, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 64, 36, 74]}, {\"cell\": \"6.26±0.03\", \"bbox\": [129, 64, 167, 74]}, {\"cell\": \"6.40±0.03\", \"bbox\": [213, 64, 251, 74]}, {\"cell\": \"6.58±0.06\", \"bbox\": [301, 64, 339, 74]}, {\"cell\": \"6.35±0.06\", \"bbox\": [381, 64, 419, 74]}, {\"cell\": \"6.29±0.09\", \"bbox\": [463, 64, 501, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 82, 34, 92]}, {\"cell\": \"8.81±0.09\", \"bbox\": [129, 82, 167, 92]}, {\"cell\": \"8.93±0.16\", \"bbox\": [213, 82, 251, 92]}, {\"cell\": \"6.77±0.27\", \"bbox\": [301, 82, 339, 92]}, {\"cell\": \"5.71±0.53\", \"bbox\": [381, 82, 419, 92]}, {\"cell\": \"6.17±0.51\", \"bbox\": [463, 82, 501, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 91, 32, 101]}, {\"cell\": \"6.04±0.29\", \"bbox\": [129, 91, 167, 101]}, {\"cell\": \"6.00±23\", \"bbox\": [216, 91, 248, 101]}, {\"cell\": \"NA\", \"bbox\": [314, 91, 326, 101]}, {\"cell\": \"NA\", \"bbox\": [394, 91, 407, 101]}, {\"cell\": \"NA\", \"bbox\": [476, 91, 489, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 100, 28, 110]}, {\"cell\": \"7.87±0.16\", \"bbox\": [129, 100, 167, 110]}, {\"cell\": \"7.78±0.26\", \"bbox\": [213, 100, 251, 110]}, {\"cell\": \"NA\", \"bbox\": [314, 100, 326, 110]}, {\"cell\": \"NA\", \"bbox\": [394, 100, 407, 110]}, {\"cell\": \"NA\", \"bbox\": [476, 100, 489, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 118, 67, 128]}, {\"cell\": \"30L\", \"bbox\": [141, 118, 155, 128]}, {\"cell\": \"28L/2R\", \"bbox\": [220, 118, 245, 128]}, {\"cell\": \"10L\", \"bbox\": [313, 118, 327, 128]}, {\"cell\": \"10L\", \"bbox\": [393, 118, 407, 128]}, {\"cell\": \"10L\", \"bbox\": [475, 118, 489, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 127, 18, 137]}, {\"cell\": \"24M/6F\", \"bbox\": [134, 127, 162, 137]}, {\"cell\": \"24M/6F\", \"bbox\": [218, 127, 246, 137]}, {\"cell\": \"6M/4F\", \"bbox\": [308, 127, 332, 137]}, {\"cell\": \"6M/4F\", \"bbox\": [389, 127, 412, 137]}, {\"cell\": \"6M/3F\", \"bbox\": [471, 127, 494, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 136, 31, 146]}, {\"cell\": \"8/30\", \"bbox\": [139, 136, 156, 146]}, {\"cell\": \"0/30\", \"bbox\": [224, 136, 241, 146]}, {\"cell\": \"8/10\", \"bbox\": [311, 136, 328, 146]}, {\"cell\": \"3/10\", \"bbox\": [392, 136, 409, 146]}, {\"cell\": \"0/9\", \"bbox\": [476, 136, 489, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 145, 44, 155]}, {\"cell\": \"21.8±2.8\", \"bbox\": [131, 145, 165, 155]}, {\"cell\": \"NA\", \"bbox\": [226, 145, 238, 155]}, {\"cell\": \"17.6±3.4\", \"bbox\": [303, 145, 337, 155]}, {\"cell\": \"20.3±4.1\", \"bbox\": [383, 145, 417, 155]}, {\"cell\": \"NA\", \"bbox\": [476, 145, 489, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 153, 64, 164]}, {\"cell\": \"560±96\", \"bbox\": [132, 154, 163, 164]}, {\"cell\": \"NA\", \"bbox\": [226, 154, 238, 164]}, {\"cell\": \"NA\", \"bbox\": [314, 154, 326, 164]}, {\"cell\": \"213±146\", \"bbox\": [383, 154, 418, 164]}, {\"cell\": \"NA\", \"bbox\": [476, 154, 489, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 161, 89, 173]}, {\"cell\": \"13.3±3.2\", \"bbox\": [131, 163, 165, 173]}, {\"cell\": \"NA\", \"bbox\": [226, 163, 238, 173]}, {\"cell\": \"NA\", \"bbox\": [314, 163, 326, 173]}, {\"cell\": \"0.44±0.35\", \"bbox\": [381, 163, 419, 173]}, {\"cell\": \"NA\", \"bbox\": [476, 163, 489, 173]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 172, 73, 182]}, {\"cell\": \"13/30\", \"bbox\": [137, 172, 158, 182]}, {\"cell\": \"NA\", \"bbox\": [226, 172, 238, 182]}, {\"cell\": \"0/10\", \"bbox\": [311, 172, 328, 182]}, {\"cell\": \"2/10\", \"bbox\": [392, 172, 409, 182]}, {\"cell\": \"NA\", \"bbox\": [476, 172, 489, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 181, 75, 191]}, {\"cell\": \"12/30\", \"bbox\": [137, 181, 158, 191]}, {\"cell\": \"NA\", \"bbox\": [226, 181, 238, 191]}, {\"cell\": \"1/10\", \"bbox\": [311, 181, 328, 191]}, {\"cell\": \"5/10\", \"bbox\": [392, 181, 409, 191]}, {\"cell\": \"NA\", \"bbox\": [476, 181, 489, 191]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4564563_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
PeptidePeptide Ranker ScoreBIOPEP IDActivity DescriptionIC50Mass (Da)Reference
FG0.997605ACE-I inhibitor3700.0 μM222.229[EMPTY_CELL]
PF0.998854DPP-IV inhibitorN/A262.294[EMPTY_CELL]
FL0.998555DPP-IV inhibitor399.58 μM278.337[EMPTY_CELL]
FY0.983556ACE-I inhibitor25 μM328.347[EMPTY_CELL]
FA0.963176DPP-IV inhibitorN/A236.256[EMPTY_CELL]
FN0.958778DPP-IV inhibitorN/A279.281[EMPTY_CELL]
MG0.947609ACE-I inhibitor4800 μM206.25[EMPTY_CELL]
PG0.887625ACE-I inhibitor17,000 μM172.169[EMPTY_CELL]
PG0.888855DPP-IV inhibitorN/A172.169[EMPTY_CELL]
PG0.883285N/AN/A172.169[EMPTY_CELL]
MR0.858836DPP-IV inhibitorN/A305.386[EMPTY_CELL]
PL0.817513ACE-I inhibitor337.32 μM228.277[EMPTY_CELL]
PL0.818638DPP-IV inhibitorN/A228.277[EMPTY_CELL]
PLG0.87510ACE-I inhibitor4.74 μM285.329[EMPTY_CELL]
PR0.793537ACE-I inhibitor4.10 μM271.305[EMPTY_CELL]
RG0.748882DPP-IV inhibitorN/A231.24[EMPTY_CELL]
LG0.727619ACE-I inhibitor8800 μM188.212[EMPTY_CELL]
MA0.693173DPP-IV inhibitorN/A220.277[EMPTY_CELL]
RL0.638886DPP-IV inhibitorN/A287.348[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Peptide\", \"bbox\": [6, 4, 33, 13]}, {\"cell\": \"Peptide Ranker Score\", \"bbox\": [43, 4, 114, 13]}, {\"cell\": \"BIOPEP ID\", \"bbox\": [126, 4, 164, 13]}, {\"cell\": \"Activity Description\", \"bbox\": [178, 4, 245, 13]}, {\"cell\": \"IC50\", \"bbox\": [271, 4, 286, 14]}, {\"cell\": \"Mass (Da)\", \"bbox\": [310, 4, 345, 13]}, {\"cell\": \"Reference\", \"bbox\": [357, 4, 390, 13]}, {\"cell\": \"FG\", \"bbox\": [13, 17, 25, 26]}, {\"cell\": \"0.99\", \"bbox\": [71, 17, 85, 25]}, {\"cell\": \"7605\", \"bbox\": [137, 17, 153, 25]}, {\"cell\": \"ACE-I inhibitor\", \"bbox\": [187, 17, 237, 25]}, {\"cell\": \"3700.0 μM\", \"bbox\": [261, 17, 296, 26]}, {\"cell\": \"222.229\", \"bbox\": [315, 17, 340, 25]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 17, 385, 25]}, {\"cell\": \"PF\", \"bbox\": [14, 25, 24, 34]}, {\"cell\": \"0.99\", \"bbox\": [71, 25, 85, 34]}, {\"cell\": \"8854\", \"bbox\": [137, 25, 153, 34]}, {\"cell\": \"DPP-IV inhibitor\", \"bbox\": [185, 25, 239, 34]}, {\"cell\": \"N/A\", \"bbox\": [270, 25, 287, 34]}, {\"cell\": \"262.294\", \"bbox\": [315, 25, 340, 34]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 25, 379, 34]}, {\"cell\": \"FL\", \"bbox\": [14, 33, 24, 42]}, {\"cell\": \"0.99\", \"bbox\": [71, 33, 85, 42]}, {\"cell\": \"8555\", \"bbox\": [137, 33, 153, 42]}, {\"cell\": \"DPP-IV inhibitor\", \"bbox\": [185, 33, 239, 42]}, {\"cell\": \"399.58 μM\", \"bbox\": [261, 33, 296, 42]}, {\"cell\": \"278.337\", \"bbox\": [315, 33, 340, 42]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 33, 379, 42]}, {\"cell\": \"FY\", \"bbox\": [13, 42, 24, 50]}, {\"cell\": \"0.98\", \"bbox\": [71, 41, 85, 50]}, {\"cell\": \"3556\", \"bbox\": [137, 41, 153, 50]}, {\"cell\": \"ACE-I inhibitor\", \"bbox\": [187, 41, 237, 50]}, {\"cell\": \"25 μM\", \"bbox\": [267, 41, 290, 50]}, {\"cell\": \"328.347\", \"bbox\": [315, 41, 340, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 41, 379, 50]}, {\"cell\": \"FA\", \"bbox\": [13, 50, 24, 59]}, {\"cell\": \"0.96\", \"bbox\": [71, 50, 85, 58]}, {\"cell\": \"3176\", \"bbox\": [137, 50, 153, 58]}, {\"cell\": \"DPP-IV inhibitor\", \"bbox\": [185, 50, 239, 58]}, {\"cell\": \"N/A\", \"bbox\": [270, 50, 287, 58]}, {\"cell\": \"236.256\", \"bbox\": [315, 50, 340, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 50, 379, 58]}, {\"cell\": \"FN\", \"bbox\": [13, 58, 25, 67]}, {\"cell\": \"0.95\", \"bbox\": [71, 58, 85, 66]}, {\"cell\": \"8778\", \"bbox\": [137, 58, 153, 66]}, {\"cell\": \"DPP-IV inhibitor\", \"bbox\": [185, 58, 239, 66]}, {\"cell\": \"N/A\", \"bbox\": [270, 58, 287, 66]}, {\"cell\": \"279.281\", \"bbox\": [315, 58, 340, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 58, 379, 66]}, {\"cell\": \"MG\", \"bbox\": [11, 66, 26, 75]}, {\"cell\": \"0.94\", \"bbox\": [71, 66, 85, 74]}, {\"cell\": \"7609\", \"bbox\": [137, 66, 153, 74]}, {\"cell\": \"ACE-I inhibitor\", \"bbox\": [187, 66, 237, 74]}, {\"cell\": \"4800 μM\", \"bbox\": [264, 66, 293, 74]}, {\"cell\": \"206.25\", \"bbox\": [317, 66, 338, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 66, 379, 74]}, {\"cell\": \"PG\", \"bbox\": [13, 74, 25, 83]}, {\"cell\": \"0.88\", \"bbox\": [71, 74, 85, 82]}, {\"cell\": \"7625\", \"bbox\": [137, 74, 153, 82]}, {\"cell\": \"ACE-I inhibitor\", \"bbox\": [187, 74, 237, 82]}, {\"cell\": \"17,000 μM\", \"bbox\": [261, 74, 296, 82]}, {\"cell\": \"172.169\", \"bbox\": [315, 74, 340, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 74, 379, 82]}, {\"cell\": \"PG\", \"bbox\": [13, 82, 25, 91]}, {\"cell\": \"0.88\", \"bbox\": [71, 82, 85, 90]}, {\"cell\": \"8855\", \"bbox\": [137, 82, 153, 90]}, {\"cell\": \"DPP-IV inhibitor\", \"bbox\": [185, 82, 239, 90]}, {\"cell\": \"N/A\", \"bbox\": [270, 82, 287, 90]}, {\"cell\": \"172.169\", \"bbox\": [315, 82, 340, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 82, 379, 90]}, {\"cell\": \"PG\", \"bbox\": [13, 90, 25, 99]}, {\"cell\": \"0.88\", \"bbox\": [71, 90, 85, 99]}, {\"cell\": \"3285\", \"bbox\": [137, 90, 153, 99]}, {\"cell\": \"N/A\", \"bbox\": [203, 90, 221, 99]}, {\"cell\": \"N/A\", \"bbox\": [270, 90, 287, 99]}, {\"cell\": \"172.169\", \"bbox\": [315, 90, 340, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 90, 379, 99]}, {\"cell\": \"MR\", \"bbox\": [12, 98, 26, 107]}, {\"cell\": \"0.85\", \"bbox\": [71, 98, 85, 107]}, {\"cell\": \"8836\", \"bbox\": [137, 98, 153, 107]}, {\"cell\": \"DPP-IV inhibitor\", \"bbox\": [185, 98, 239, 107]}, {\"cell\": \"N/A\", \"bbox\": [270, 98, 287, 107]}, {\"cell\": \"305.386\", \"bbox\": [315, 98, 340, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 98, 379, 107]}, {\"cell\": \"PL\", \"bbox\": [13, 106, 24, 115]}, {\"cell\": \"0.81\", \"bbox\": [71, 106, 85, 115]}, {\"cell\": \"7513\", \"bbox\": [137, 106, 153, 115]}, {\"cell\": \"ACE-I inhibitor\", \"bbox\": [187, 106, 237, 115]}, {\"cell\": \"337.32 μM\", \"bbox\": [261, 106, 296, 115]}, {\"cell\": \"228.277\", \"bbox\": [315, 106, 340, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 106, 379, 115]}, {\"cell\": \"PL\", \"bbox\": [13, 115, 24, 123]}, {\"cell\": \"0.81\", \"bbox\": [71, 115, 85, 123]}, {\"cell\": \"8638\", \"bbox\": [137, 115, 153, 123]}, {\"cell\": \"DPP-IV inhibitor\", \"bbox\": [185, 115, 239, 123]}, {\"cell\": \"N/A\", \"bbox\": [270, 115, 287, 123]}, {\"cell\": \"228.277\", \"bbox\": [315, 115, 340, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 115, 379, 123]}, {\"cell\": \"PLG\", \"bbox\": [11, 123, 27, 132]}, {\"cell\": \"0.8\", \"bbox\": [73, 123, 84, 131]}, {\"cell\": \"7510\", \"bbox\": [137, 123, 153, 131]}, {\"cell\": \"ACE-I inhibitor\", \"bbox\": [187, 123, 237, 131]}, {\"cell\": \"4.74 μM\", \"bbox\": [265, 123, 292, 131]}, {\"cell\": \"285.329\", \"bbox\": [315, 123, 340, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 123, 379, 131]}, {\"cell\": \"PR\", \"bbox\": [13, 131, 24, 140]}, {\"cell\": \"0.79\", \"bbox\": [71, 131, 85, 139]}, {\"cell\": \"3537\", \"bbox\": [137, 131, 153, 139]}, {\"cell\": \"ACE-I inhibitor\", \"bbox\": [187, 131, 237, 139]}, {\"cell\": \"4.10 μM\", \"bbox\": [265, 131, 292, 139]}, {\"cell\": \"271.305\", \"bbox\": [315, 131, 340, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 131, 379, 139]}, {\"cell\": \"RG\", \"bbox\": [12, 139, 25, 148]}, {\"cell\": \"0.74\", \"bbox\": [71, 139, 85, 147]}, {\"cell\": \"8882\", \"bbox\": [137, 139, 153, 147]}, {\"cell\": \"DPP-IV inhibitor\", \"bbox\": [185, 139, 239, 147]}, {\"cell\": \"N/A\", \"bbox\": [270, 139, 287, 147]}, {\"cell\": \"231.24\", \"bbox\": [317, 139, 338, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 139, 379, 147]}, {\"cell\": \"LG\", \"bbox\": [13, 147, 25, 156]}, {\"cell\": \"0.72\", \"bbox\": [71, 147, 85, 155]}, {\"cell\": \"7619\", \"bbox\": [137, 147, 153, 155]}, {\"cell\": \"ACE-I inhibitor\", \"bbox\": [187, 147, 237, 155]}, {\"cell\": \"8800 μM\", \"bbox\": [264, 147, 293, 155]}, {\"cell\": \"188.212\", \"bbox\": [315, 147, 340, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 147, 379, 155]}, {\"cell\": \"MA\", \"bbox\": [11, 155, 26, 164]}, {\"cell\": \"0.69\", \"bbox\": [71, 155, 85, 164]}, {\"cell\": \"3173\", \"bbox\": [137, 155, 153, 164]}, {\"cell\": \"DPP-IV inhibitor\", \"bbox\": [185, 155, 239, 164]}, {\"cell\": \"N/A\", \"bbox\": [270, 155, 287, 164]}, {\"cell\": \"220.277\", \"bbox\": [315, 155, 340, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 155, 379, 164]}, {\"cell\": \"RL\", \"bbox\": [13, 163, 24, 172]}, {\"cell\": \"0.63\", \"bbox\": [71, 163, 85, 172]}, {\"cell\": \"8886\", \"bbox\": [137, 163, 153, 172]}, {\"cell\": \"DPP-IV inhibitor\", \"bbox\": [185, 163, 239, 172]}, {\"cell\": \"N/A\", \"bbox\": [270, 163, 287, 172]}, {\"cell\": \"287.348\", \"bbox\": [315, 163, 340, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 163, 379, 172]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5742776_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
MDKT[EMPTY_CELL]General diabetes subscale (items 1–14)Insulin-use subscale (items 15–23)
[EMPTY_CELL]nMean % correct answers (SD)Mean % correct answers (SD)
[EMPTY_CELL]12769.4 (15.1)73.4 (17.6)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]3676.4 (14.7)d79.0 (14.7)
[EMPTY_CELL]6766.9 (14.2)73.3 (16.5)
[EMPTY_CELL]2165.3 (15.2)64.0 (21.6)d
[EMPTY_CELL][EMPTY_CELL]<0.01d<0.01d
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]7272.5 (13.3)74.8 (18.6)
[EMPTY_CELL]5065.1 (16.1)71.1 (16.0)
[EMPTY_CELL][EMPTY_CELL]<0.01d0.25
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]8273.6 (14.4)74.9 (17.4)
[EMPTY_CELL]4060.0 (12.4)70.6 (18.3)
[EMPTY_CELL][EMPTY_CELL]<0.010.22
\", \"cells\": [{\"cell\": \"MDKT\", \"bbox\": [1, 4, 21, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"General diabetes subscale (items 1–14)\", \"bbox\": [262, 4, 347, 22]}, {\"cell\": \"Insulin-use subscale (items 15–23)\", \"bbox\": [389, 4, 454, 22]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"n\", \"bbox\": [218, 26, 224, 34]}, {\"cell\": \"Mean % correct answers (SD)\", \"bbox\": [262, 26, 358, 35]}, {\"cell\": \"Mean % correct answers (SD)\", \"bbox\": [389, 26, 484, 35]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 39, 18, 49]}, {\"cell\": \"127\", \"bbox\": [218, 39, 232, 49]}, {\"cell\": \"69.4 (15.1)\", \"bbox\": [262, 39, 296, 49]}, {\"cell\": \"73.4 (17.6)\", \"bbox\": [389, 39, 423, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 53, 35, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 67, 67, 77]}, {\"cell\": \"36\", \"bbox\": [218, 67, 228, 77]}, {\"cell\": \"76.4 (14.7)d\", \"bbox\": [262, 66, 300, 77]}, {\"cell\": \"79.0 (14.7)\", \"bbox\": [389, 67, 423, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 81, 54, 91]}, {\"cell\": \"67\", \"bbox\": [218, 81, 228, 91]}, {\"cell\": \"66.9 (14.2)\", \"bbox\": [262, 81, 296, 91]}, {\"cell\": \"73.3 (16.5)\", \"bbox\": [389, 81, 423, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 95, 67, 105]}, {\"cell\": \"21\", \"bbox\": [218, 95, 228, 105]}, {\"cell\": \"65.3 (15.2)\", \"bbox\": [262, 95, 296, 105]}, {\"cell\": \"64.0 (21.6)d\", \"bbox\": [389, 94, 426, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 108, 153, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.01d\", \"bbox\": [262, 108, 285, 119]}, {\"cell\": \"<0.01d\", \"bbox\": [389, 108, 411, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 123, 169, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 137, 21, 147]}, {\"cell\": \"72\", \"bbox\": [218, 137, 228, 147]}, {\"cell\": \"72.5 (13.3)\", \"bbox\": [262, 137, 296, 147]}, {\"cell\": \"74.8 (18.6)\", \"bbox\": [389, 137, 423, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 151, 20, 161]}, {\"cell\": \"50\", \"bbox\": [218, 151, 228, 161]}, {\"cell\": \"65.1 (16.1)\", \"bbox\": [262, 151, 296, 161]}, {\"cell\": \"71.1 (16.0)\", \"bbox\": [389, 151, 423, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 164, 187, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.01d\", \"bbox\": [262, 164, 285, 175]}, {\"cell\": \"0.25\", \"bbox\": [389, 165, 403, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 179, 105, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 193, 21, 203]}, {\"cell\": \"82\", \"bbox\": [218, 193, 228, 203]}, {\"cell\": \"73.6 (14.4)\", \"bbox\": [262, 193, 296, 203]}, {\"cell\": \"74.9 (17.4)\", \"bbox\": [389, 193, 423, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 207, 20, 217]}, {\"cell\": \"40\", \"bbox\": [218, 207, 228, 217]}, {\"cell\": \"60.0 (12.4)\", \"bbox\": [262, 207, 296, 217]}, {\"cell\": \"70.6 (18.3)\", \"bbox\": [389, 207, 423, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 220, 187, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.01\", \"bbox\": [262, 221, 282, 231]}, {\"cell\": \"0.22\", \"bbox\": [389, 221, 403, 231]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4928289_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Moderate[EMPTY_CELL]Vigorous
[EMPTY_CELL]Model 1Model 2[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]Model 1Model 2[EMPTY_CELL][EMPTY_CELL]
Correlateβ (SE)β (SE)95% CIp valueCorrelateβ (SE)β (SE)95% CIp value
Constant39.27 (1.41)33.67 (3.29)27.22 to 40.12[EMPTY_CELL]Constant18.38 (2.49)22.79 (6.81)9.44 to 36.14< 0.001
Equipment2NE6.91 (3.42)0.21 to 13.61[EMPTY_CELL]Sex1NE-8.22 (2.18)-12.49 to -3.95< 0.001
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]TemperatureNE-0.65 (0.28)-1.20 to -0.100.02
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]Play spaceNE2.02 (0.42)1.20 to 2.84< 0.001
% Total variance explainedN/A7.7[EMPTY_CELL][EMPTY_CELL]% Total variance explainedN/A24.2[EMPTY_CELL][EMPTY_CELL]
Random[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]Random[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
School Level24.38 (15.13)20.29 (14.33)[EMPTY_CELL][EMPTY_CELL]School Level39.51 (24.86)14.39 (11.26)[EMPTY_CELL][EMPTY_CELL]
Child Level245.52 (31.81)228.78 (30.33)[EMPTY_CELL][EMPTY_CELL]Child Level151.29 (19.86)130.26 (16.54)[EMPTY_CELL][EMPTY_CELL]
Total variance269.9249.07[EMPTY_CELL][EMPTY_CELL]Total variance190.8144.65[EMPTY_CELL][EMPTY_CELL]
Deviance1034.321028.86[EMPTY_CELL][EMPTY_CELL]Deviance987.09955.72[EMPTY_CELL][EMPTY_CELL]
ICC0.0900.081[EMPTY_CELL][EMPTY_CELL]ICC0.2070.099[EMPTY_CELL][EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Moderate\", \"bbox\": [116, 4, 152, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Vigorous\", \"bbox\": [382, 4, 415, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Model 1\", \"bbox\": [55, 17, 86, 27]}, {\"cell\": \"Model 2\", \"bbox\": [103, 17, 133, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Model 1\", \"bbox\": [319, 17, 349, 27]}, {\"cell\": \"Model 2\", \"bbox\": [367, 17, 397, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Correlate\", \"bbox\": [6, 30, 39, 40]}, {\"cell\": \"β (SE)\", \"bbox\": [59, 30, 81, 40]}, {\"cell\": \"β (SE)\", \"bbox\": [107, 30, 129, 40]}, {\"cell\": \"95% CI\", \"bbox\": [154, 30, 180, 40]}, {\"cell\": \"p value\", \"bbox\": [196, 32, 217, 49]}, {\"cell\": \"Correlate\", \"bbox\": [249, 30, 283, 40]}, {\"cell\": \"β (SE)\", \"bbox\": [323, 30, 345, 40]}, {\"cell\": \"β (SE)\", \"bbox\": [371, 30, 393, 40]}, {\"cell\": \"95% CI\", \"bbox\": [418, 30, 444, 40]}, {\"cell\": \"p value\", \"bbox\": [461, 32, 481, 49]}, {\"cell\": \"Constant\", \"bbox\": [7, 53, 38, 62]}, {\"cell\": \"39.27 (1.41)\", \"bbox\": [51, 53, 89, 62]}, {\"cell\": \"33.67 (3.29)\", \"bbox\": [99, 53, 137, 62]}, {\"cell\": \"27.22 to 40.12\", \"bbox\": [153, 53, 181, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [194, 53, 220, 62]}, {\"cell\": \"Constant\", \"bbox\": [251, 53, 281, 62]}, {\"cell\": \"18.38 (2.49)\", \"bbox\": [315, 53, 353, 62]}, {\"cell\": \"22.79 (6.81)\", \"bbox\": [363, 53, 401, 62]}, {\"cell\": \"9.44 to 36.14\", \"bbox\": [409, 53, 453, 62]}, {\"cell\": \"< 0.001\", \"bbox\": [458, 53, 484, 62]}, {\"cell\": \"Equipment2\", \"bbox\": [3, 72, 42, 83]}, {\"cell\": \"NE\", \"bbox\": [65, 74, 76, 83]}, {\"cell\": \"6.91 (3.42)\", \"bbox\": [101, 74, 135, 83]}, {\"cell\": \"0.21 to 13.61\", \"bbox\": [145, 74, 188, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [195, 74, 218, 83]}, {\"cell\": \"Sex1\", \"bbox\": [258, 72, 274, 83]}, {\"cell\": \"NE\", \"bbox\": [329, 74, 340, 83]}, {\"cell\": \"-8.22 (2.18)\", \"bbox\": [364, 74, 400, 83]}, {\"cell\": \"-12.49 to -3.95\", \"bbox\": [416, 74, 446, 92]}, {\"cell\": \"< 0.001\", \"bbox\": [458, 74, 484, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Temperature\", \"bbox\": [245, 94, 287, 104]}, {\"cell\": \"NE\", \"bbox\": [329, 94, 340, 104]}, {\"cell\": \"-0.65 (0.28)\", \"bbox\": [364, 94, 400, 104]}, {\"cell\": \"-1.20 to -0.10\", \"bbox\": [409, 94, 453, 104]}, {\"cell\": \"0.02\", \"bbox\": [464, 94, 479, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Play space\", \"bbox\": [248, 106, 284, 116]}, {\"cell\": \"NE\", \"bbox\": [329, 106, 340, 116]}, {\"cell\": \"2.02 (0.42)\", \"bbox\": [365, 106, 399, 116]}, {\"cell\": \"1.20 to 2.84\", \"bbox\": [411, 106, 451, 116]}, {\"cell\": \"< 0.001\", \"bbox\": [458, 106, 484, 116]}, {\"cell\": \"% Total variance explained\", \"bbox\": [6, 130, 39, 158]}, {\"cell\": \"N/A\", \"bbox\": [63, 130, 78, 140]}, {\"cell\": \"7.7\", \"bbox\": [113, 130, 124, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"% Total variance explained\", \"bbox\": [239, 130, 293, 149]}, {\"cell\": \"N/A\", \"bbox\": [327, 130, 341, 140]}, {\"cell\": \"24.2\", \"bbox\": [375, 130, 390, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Random\", \"bbox\": [7, 172, 38, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Random\", \"bbox\": [251, 172, 281, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"School Level\", \"bbox\": [1, 184, 44, 194]}, {\"cell\": \"24.38 (15.13)\", \"bbox\": [49, 184, 91, 194]}, {\"cell\": \"20.29 (14.33)\", \"bbox\": [97, 184, 139, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"School Level\", \"bbox\": [245, 184, 287, 194]}, {\"cell\": \"39.51 (24.86)\", \"bbox\": [313, 184, 355, 194]}, {\"cell\": \"14.39 (11.26)\", \"bbox\": [361, 184, 403, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Child Level\", \"bbox\": [4, 196, 41, 206]}, {\"cell\": \"245.52 (31.81)\", \"bbox\": [59, 196, 82, 214]}, {\"cell\": \"228.78 (30.33)\", \"bbox\": [107, 196, 130, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Child Level\", \"bbox\": [247, 196, 285, 206]}, {\"cell\": \"151.29 (19.86)\", \"bbox\": [323, 196, 346, 214]}, {\"cell\": \"130.26 (16.54)\", \"bbox\": [371, 196, 393, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Total variance\", \"bbox\": [8, 217, 37, 235]}, {\"cell\": \"269.9\", \"bbox\": [61, 217, 80, 226]}, {\"cell\": \"249.07\", \"bbox\": [107, 217, 129, 226]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Total variance\", \"bbox\": [243, 217, 289, 226]}, {\"cell\": \"190.8\", \"bbox\": [325, 217, 343, 226]}, {\"cell\": \"144.65\", \"bbox\": [371, 217, 393, 226]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Deviance\", \"bbox\": [7, 238, 38, 247]}, {\"cell\": \"1034.32\", \"bbox\": [57, 238, 83, 247]}, {\"cell\": \"1028.86\", \"bbox\": [105, 238, 131, 247]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Deviance\", \"bbox\": [250, 238, 282, 247]}, {\"cell\": \"987.09\", \"bbox\": [323, 238, 345, 247]}, {\"cell\": \"955.72\", \"bbox\": [371, 238, 393, 247]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"ICC\", \"bbox\": [16, 250, 29, 259]}, {\"cell\": \"0.090\", \"bbox\": [61, 250, 80, 259]}, {\"cell\": \"0.081\", \"bbox\": [109, 250, 127, 259]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"ICC\", \"bbox\": [260, 250, 272, 259]}, {\"cell\": \"0.207\", \"bbox\": [325, 250, 343, 259]}, {\"cell\": \"0.099\", \"bbox\": [373, 250, 391, 259]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2959085_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
GeneSequence
[EMPTY_CELL]5′-GTCCTTCTGCAGATTGACAATGA-3′ (forward)5′-TTCACCAAGACAGAGGAGCTGAA-3′ (reverse)
[EMPTY_CELL]5′-GAAGATTGCACCGGTCGACAAA-3′ (forward)5′-CCACCAAAGTCACGCTGAATAC-3′ (reverse)
[EMPTY_CELL]5′-CAGACTCAATTTAGTGAG-3′ (forward)5′-AGCTCATGGTTGGGGCAC-3′ (reverse)
[EMPTY_CELL]5′-GGAGCAGCTTTTGCCATGCCT-3′ (forward)5′-GTGGCCTTATGCTCTGGTAC-3′ (reverse)
[EMPTY_CELL]5′-GAGTCAACGGATTTGGTCGT-3′ (forward)5′-GACAAGCTTCCCGTTCTCAG-3′ (reverse)
\", \"cells\": [{\"cell\": \"Gene\", \"bbox\": [20, 5, 46, 17]}, {\"cell\": \"Sequence\", \"bbox\": [213, 5, 259, 17]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 21, 65, 33]}, {\"cell\": \"5′-GTCCTTCTGCAGATTGACAATGA-3′ (forward)5′-TTCACCAAGACAGAGGAGCTGAA-3′ (reverse)\", \"bbox\": [115, 21, 357, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 51, 59, 63]}, {\"cell\": \"5′-GAAGATTGCACCGGTCGACAAA-3′ (forward)5′-CCACCAAAGTCACGCTGAATAC-3′ (reverse)\", \"bbox\": [117, 51, 354, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [17, 78, 49, 95]}, {\"cell\": \"5′-CAGACTCAATTTAGTGAG-3′ (forward)5′-AGCTCATGGTTGGGGCAC-3′ (reverse)\", \"bbox\": [134, 82, 338, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 112, 60, 124]}, {\"cell\": \"5′-GGAGCAGCTTTTGCCATGCCT-3′ (forward)5′-GTGGCCTTATGCTCTGGTAC-3′ (reverse)\", \"bbox\": [123, 112, 348, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 143, 53, 155]}, {\"cell\": \"5′-GAGTCAACGGATTTGGTCGT-3′ (forward)5′-GACAAGCTTCCCGTTCTCAG-3′ (reverse)\", \"bbox\": [126, 143, 345, 170]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3709725_010_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Diagnosis
Colorectal liver metastasesNon-colorectal liver metastasesHepatocellular carcinomaCholangiocarcinomaGallbladder carcinomaTotal
Major hepatectomy[EMPTY_CELL]322255199
Right hepatectomy (with or without combined wedge resection)[EMPTY_CELL]11040107
Left hepatectomy (with or without combined wedge resection)[EMPTY_CELL]2103051
Extended left hepatectomy[EMPTY_CELL]007011
Extended right hepatectomy[EMPTY_CELL]0211530
Minor hepatectomy[EMPTY_CELL]9200114
Anatomical hepatectomy
Right posterior hepatectomy[EMPTY_CELL]100010
Left lateral hepatectomy[EMPTY_CELL]400031
Bisegmentectomy[EMPTY_CELL]000014
Segmentectomy[EMPTY_CELL]020020
Non-anatomical hepatectomy
Wedge resections (one or multiple)[EMPTY_CELL]400039
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Diagnosis\", \"bbox\": [290, 4, 326, 13]}, {\"cell\": \"Colorectal liver metastases\", \"bbox\": [132, 17, 186, 35]}, {\"cell\": \"Non-colorectal liver metastases\", \"bbox\": [197, 17, 254, 35]}, {\"cell\": \"Hepatocellular carcinoma\", \"bbox\": [265, 17, 318, 35]}, {\"cell\": \"Cholangiocarcinoma\", \"bbox\": [328, 17, 401, 27]}, {\"cell\": \"Gallbladder carcinoma\", \"bbox\": [412, 17, 454, 35]}, {\"cell\": \"Total\", \"bbox\": [465, 17, 484, 27]}, {\"cell\": \"Major hepatectomy\", \"bbox\": [1, 39, 65, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 39, 145, 49]}, {\"cell\": \"3\", \"bbox\": [197, 39, 203, 49]}, {\"cell\": \"22\", \"bbox\": [265, 39, 275, 49]}, {\"cell\": \"25\", \"bbox\": [328, 39, 338, 49]}, {\"cell\": \"5\", \"bbox\": [412, 39, 418, 49]}, {\"cell\": \"199\", \"bbox\": [465, 39, 479, 49]}, {\"cell\": \"Right hepatectomy (with or without combined wedge resection)\", \"bbox\": [1, 53, 121, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 53, 142, 63]}, {\"cell\": \"1\", \"bbox\": [197, 53, 203, 63]}, {\"cell\": \"10\", \"bbox\": [265, 53, 275, 63]}, {\"cell\": \"4\", \"bbox\": [328, 53, 334, 63]}, {\"cell\": \"0\", \"bbox\": [412, 53, 418, 63]}, {\"cell\": \"107\", \"bbox\": [465, 53, 479, 63]}, {\"cell\": \"Left hepatectomy (with or without combined wedge resection)\", \"bbox\": [1, 76, 116, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 76, 142, 86]}, {\"cell\": \"2\", \"bbox\": [197, 76, 203, 86]}, {\"cell\": \"10\", \"bbox\": [265, 76, 275, 86]}, {\"cell\": \"3\", \"bbox\": [328, 76, 334, 86]}, {\"cell\": \"0\", \"bbox\": [412, 76, 418, 86]}, {\"cell\": \"51\", \"bbox\": [465, 76, 475, 86]}, {\"cell\": \"Extended left hepatectomy\", \"bbox\": [1, 99, 90, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 99, 138, 109]}, {\"cell\": \"0\", \"bbox\": [197, 99, 203, 109]}, {\"cell\": \"0\", \"bbox\": [265, 99, 271, 109]}, {\"cell\": \"7\", \"bbox\": [328, 99, 334, 109]}, {\"cell\": \"0\", \"bbox\": [412, 99, 418, 109]}, {\"cell\": \"11\", \"bbox\": [465, 99, 475, 109]}, {\"cell\": \"Extended right hepatectomy\", \"bbox\": [1, 113, 95, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 113, 142, 123]}, {\"cell\": \"0\", \"bbox\": [197, 113, 203, 123]}, {\"cell\": \"2\", \"bbox\": [265, 113, 271, 123]}, {\"cell\": \"11\", \"bbox\": [328, 113, 338, 123]}, {\"cell\": \"5\", \"bbox\": [412, 113, 418, 123]}, {\"cell\": \"30\", \"bbox\": [465, 113, 475, 123]}, {\"cell\": \"Minor hepatectomy\", \"bbox\": [1, 127, 66, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 127, 145, 137]}, {\"cell\": \"9\", \"bbox\": [197, 127, 203, 137]}, {\"cell\": \"2\", \"bbox\": [265, 127, 271, 137]}, {\"cell\": \"0\", \"bbox\": [328, 127, 334, 137]}, {\"cell\": \"0\", \"bbox\": [412, 127, 418, 137]}, {\"cell\": \"114\", \"bbox\": [465, 127, 479, 137]}, {\"cell\": \"Anatomical hepatectomy\", \"bbox\": [1, 141, 83, 151]}, {\"cell\": \"Right posterior hepatectomy\", \"bbox\": [1, 155, 94, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 155, 138, 165]}, {\"cell\": \"1\", \"bbox\": [197, 155, 203, 165]}, {\"cell\": \"0\", \"bbox\": [265, 155, 271, 165]}, {\"cell\": \"0\", \"bbox\": [328, 155, 334, 165]}, {\"cell\": \"0\", \"bbox\": [412, 155, 418, 165]}, {\"cell\": \"10\", \"bbox\": [465, 155, 475, 165]}, {\"cell\": \"Left lateral hepatectomy\", \"bbox\": [1, 169, 80, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 169, 142, 179]}, {\"cell\": \"4\", \"bbox\": [197, 169, 203, 179]}, {\"cell\": \"0\", \"bbox\": [265, 169, 271, 179]}, {\"cell\": \"0\", \"bbox\": [328, 169, 334, 179]}, {\"cell\": \"0\", \"bbox\": [412, 169, 418, 179]}, {\"cell\": \"31\", \"bbox\": [465, 169, 475, 179]}, {\"cell\": \"Bisegmentectomy\", \"bbox\": [1, 183, 60, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 183, 142, 193]}, {\"cell\": \"0\", \"bbox\": [197, 183, 203, 193]}, {\"cell\": \"0\", \"bbox\": [265, 183, 271, 193]}, {\"cell\": \"0\", \"bbox\": [328, 183, 334, 193]}, {\"cell\": \"0\", \"bbox\": [412, 183, 418, 193]}, {\"cell\": \"14\", \"bbox\": [465, 183, 475, 193]}, {\"cell\": \"Segmentectomy\", \"bbox\": [1, 197, 55, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 197, 142, 207]}, {\"cell\": \"0\", \"bbox\": [197, 197, 203, 207]}, {\"cell\": \"2\", \"bbox\": [265, 197, 271, 207]}, {\"cell\": \"0\", \"bbox\": [328, 197, 334, 207]}, {\"cell\": \"0\", \"bbox\": [412, 197, 418, 207]}, {\"cell\": \"20\", \"bbox\": [465, 197, 475, 207]}, {\"cell\": \"Non-anatomical hepatectomy\", \"bbox\": [1, 211, 98, 221]}, {\"cell\": \"Wedge resections (one or multiple)\", \"bbox\": [1, 225, 116, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 225, 142, 235]}, {\"cell\": \"4\", \"bbox\": [197, 225, 203, 235]}, {\"cell\": \"0\", \"bbox\": [265, 225, 271, 235]}, {\"cell\": \"0\", \"bbox\": [328, 225, 334, 235]}, {\"cell\": \"0\", \"bbox\": [412, 225, 418, 235]}, {\"cell\": \"39\", \"bbox\": [465, 225, 475, 235]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4256890_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]RAI-MDS 2.0(Resident Assessment Instrument – Minimum Dataset 2.0)RAI-HC(Resident Assessment Instrument – Home Care)interRAI HC(interRAI Home Care)interRAI CHA(interRAI Community Health Assessment)
PurposeTo assess the needs, strengths, and preferences of vulnerable populations
ApplicationsCare planning, resource allocation, outcomes measures, and quality indicators
SettingLong-term care (LTC), Complex continuing care (CCC)Home care (HC)Home care (HC)[EMPTY_CELL]
Jurisdiction in CanadaMandated in 9 provinces and territoriesMandated in 8 provinces and territoriesNot yet implemented in Canada[EMPTY_CELL]
Data Repository
ProvincialNoneOntario Association of Home and Community Care (OACCAC)n/a[EMPTY_CELL]
NationalContinuing Care Reporting System (CCRS)aHome Care Reporting System (HCRS)an/a[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"RAI-MDS 2.0(Resident Assessment Instrument – Minimum Dataset 2.0)\", \"bbox\": [51, 4, 158, 31]}, {\"cell\": \"RAI-HC(Resident Assessment Instrument – Home Care)\", \"bbox\": [168, 4, 251, 31]}, {\"cell\": \"interRAI HC(interRAI Home Care)\", \"bbox\": [293, 4, 362, 22]}, {\"cell\": \"interRAI CHA(interRAI Community Health Assessment)\", \"bbox\": [376, 4, 468, 31]}, {\"cell\": \"Purpose\", \"bbox\": [1, 35, 28, 45]}, {\"cell\": \"To assess the needs, strengths, and preferences of vulnerable populations\", \"bbox\": [148, 35, 387, 45]}, {\"cell\": \"Applications\", \"bbox\": [1, 49, 42, 59]}, {\"cell\": \"Care planning, resource allocation, outcomes measures, and quality indicators\", \"bbox\": [142, 49, 393, 59]}, {\"cell\": \"Setting\", \"bbox\": [1, 63, 25, 73]}, {\"cell\": \"Long-term care (LTC), Complex continuing care (CCC)\", \"bbox\": [51, 63, 152, 82]}, {\"cell\": \"Home care (HC)\", \"bbox\": [168, 63, 221, 73]}, {\"cell\": \"Home care (HC)\", \"bbox\": [293, 63, 346, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 63, 482, 73]}, {\"cell\": \"Jurisdiction in Canada\", \"bbox\": [1, 86, 47, 105]}, {\"cell\": \"Mandated in 9 provinces and territories\", \"bbox\": [51, 86, 147, 105]}, {\"cell\": \"Mandated in 8 provinces and territories\", \"bbox\": [168, 86, 264, 105]}, {\"cell\": \"Not yet implemented in Canada\", \"bbox\": [293, 86, 372, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 86, 484, 105]}, {\"cell\": \"Data Repository\", \"bbox\": [1, 109, 53, 119]}, {\"cell\": \" Provincial\", \"bbox\": [8, 123, 41, 133]}, {\"cell\": \"None\", \"bbox\": [51, 123, 70, 133]}, {\"cell\": \"Ontario Association of Home and Community Care (OACCAC)\", \"bbox\": [168, 123, 277, 142]}, {\"cell\": \"n/a\", \"bbox\": [293, 123, 305, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 123, 475, 133]}, {\"cell\": \" National\", \"bbox\": [8, 146, 37, 156]}, {\"cell\": \"Continuing Care Reporting System (CCRS)a\", \"bbox\": [51, 146, 164, 165]}, {\"cell\": \"Home Care Reporting System (HCRS)a\", \"bbox\": [168, 146, 265, 165]}, {\"cell\": \"n/a\", \"bbox\": [293, 146, 305, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 146, 395, 156]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5663080_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]All Subjectsp14BRCA1PTENp16Any loci
[EMPTY_CELL][EMPTY_CELL]+-+-+-+-+-
Cases4912378[EMPTY_CELL]4459402524
Mean age (yrs)48.847.649.244.0[EMPTY_CELL]65.147.452.648.047.849.9
P value (T-test)[EMPTY_CELL][EMPTY_CELL]0.7[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.006[EMPTY_CELL]0.321[EMPTY_CELL]0.559
Stage[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
I-II249152[EMPTY_CELL]2224201212
III-IV253226[EMPTY_CELL]2235201312
P value (χ2 test)[EMPTY_CELL][EMPTY_CELL]0.038[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.966[EMPTY_CELL]0.763[EMPTY_CELL]0.889
Gradea[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
G1–2229131[EMPTY_CELL]418616139
G3253227[EMPTY_CELL]0253221213
P value (χ2 test)[EMPTY_CELL][EMPTY_CELL]0.023[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.026[EMPTY_CELL]0.184[EMPTY_CELL]0.447
Histological type49[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Serous172156[EMPTY_CELL]116314116
Mucinous10371[EMPTY_CELL]376473
Endometrioid10371[EMPTY_CELL]01001037
Clear-cell6330[EMPTY_CELL]060633
Others6150[EMPTY_CELL]060615
P value (χ2 test][EMPTY_CELL][EMPTY_CELL]0.08b[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.023d[EMPTY_CELL]<0.001e[EMPTY_CELL]0.015e
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"All Subjects\", \"bbox\": [114, 5, 154, 14]}, {\"cell\": \"p14\", \"bbox\": [189, 5, 203, 14]}, {\"cell\": \"BRCA1\", \"bbox\": [247, 5, 274, 14]}, {\"cell\": \"PTEN\", \"bbox\": [316, 5, 338, 14]}, {\"cell\": \"p16\", \"bbox\": [390, 5, 404, 14]}, {\"cell\": \"Any loci\", \"bbox\": [452, 5, 481, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"+\", \"bbox\": [175, 27, 182, 36]}, {\"cell\": \"-\", \"bbox\": [208, 27, 213, 36]}, {\"cell\": \"+\", \"bbox\": [239, 27, 245, 36]}, {\"cell\": \"-\", \"bbox\": [273, 27, 277, 36]}, {\"cell\": \"+\", \"bbox\": [305, 27, 311, 36]}, {\"cell\": \"-\", \"bbox\": [339, 27, 344, 36]}, {\"cell\": \"+\", \"bbox\": [372, 27, 379, 36]}, {\"cell\": \"-\", \"bbox\": [409, 27, 414, 36]}, {\"cell\": \"+\", \"bbox\": [444, 27, 451, 36]}, {\"cell\": \"-\", \"bbox\": [479, 27, 484, 36]}, {\"cell\": \"Cases\", \"bbox\": [4, 49, 26, 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["SparseTable_Bench_Dataset-zd/PMC1560388_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariableCategoriesFrequencyPercentageOR95% CIp
Predominant land use around school*Residential[EMPTY_CELL]89.60.640.14-2.95.643
Others59[EMPTY_CELL]Reference
Place where parents can stop and drop children off*No[EMPTY_CELL]1.47.690.72-81.90.091
Yes559[EMPTY_CELL]Reference
Place where parents can park their cars*No[EMPTY_CELL]15.52.320.44-12.16.319
Yes479[EMPTY_CELL]Reference
Bus stopNo[EMPTY_CELL]15.02.000.57-7.02.276
Yes482[EMPTY_CELL]Reference
Cycle lane separated from the road*No[EMPTY_CELL]100.0N/A
Yes0[EMPTY_CELL]
Cycle lane on the roadNo[EMPTY_CELL]93.70.460.03-6.48.556
Yes36[EMPTY_CELL]Reference
Sidewalks on both sides‡No[EMPTY_CELL]16.43.070.85-11.04.086
Yes474[EMPTY_CELL]Reference
Sidewalks on one side onlyNo[EMPTY_CELL]57.80.370.13-1.04.060
Yes239[EMPTY_CELL]Reference
Marked pedestrian crossingNo[EMPTY_CELL]18.33.170.98-10.27.054
Yes463[EMPTY_CELL]Reference
Traffic calming measuresNo[EMPTY_CELL]58.74.051.52-10.79.005
Yes234[EMPTY_CELL]Reference
School warning sign for road users*No[EMPTY_CELL]1.91.120.07-19.16.937
Yes556[EMPTY_CELL]Reference
Road safety signNo[EMPTY_CELL]9.91.290.32-5.12.722
Yes501[EMPTY_CELL]Reference
Route sign for cyclistsNo[EMPTY_CELL]77.10.550.16-1.91.345
Yes130[EMPTY_CELL]Reference
Fast food restaurantsNo[EMPTY_CELL]62.10.410.14-1.20.102
[EMPTY_CELL]Yes[EMPTY_CELL]37.9Reference
\", \"cells\": [{\"cell\": \"Variable\", \"bbox\": [71, 4, 101, 13]}, {\"cell\": \"Categories\", \"bbox\": [193, 4, 232, 13]}, {\"cell\": \"Frequency\", \"bbox\": [254, 4, 292, 13]}, {\"cell\": \"Percentage\", \"bbox\": [314, 4, 355, 13]}, {\"cell\": \"OR\", \"bbox\": [378, 4, 390, 13]}, {\"cell\": \"95% CI\", \"bbox\": [418, 4, 444, 13]}, {\"cell\": \"p\", \"bbox\": [474, 4, 480, 13]}, {\"cell\": \"Predominant land use around school*\", \"bbox\": [24, 17, 148, 27]}, {\"cell\": \"Residential\", \"bbox\": [195, 17, 231, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 17, 280, 27]}, {\"cell\": \"89.6\", \"bbox\": [327, 17, 342, 27]}, {\"cell\": \"0.64\", \"bbox\": [377, 17, 392, 27]}, {\"cell\": \"0.14-2.95\", \"bbox\": [416, 17, 446, 27]}, {\"cell\": \".643\", \"bbox\": [470, 17, 484, 27]}, {\"cell\": \"Others\", \"bbox\": [201, 31, 224, 41]}, {\"cell\": \"59\", \"bbox\": [268, 31, 278, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [327, 31, 342, 41]}, {\"cell\": \"Reference\", \"bbox\": [414, 31, 447, 41]}, {\"cell\": \"Place where parents can stop and drop children off*\", \"bbox\": [1, 45, 171, 55]}, {\"cell\": \"No\", \"bbox\": [207, 45, 219, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [270, 45, 276, 55]}, {\"cell\": \"1.4\", \"bbox\": [329, 45, 340, 55]}, {\"cell\": \"7.69\", \"bbox\": [377, 45, 392, 55]}, {\"cell\": \"0.72-81.90\", \"bbox\": [414, 45, 448, 55]}, {\"cell\": \".091\", \"bbox\": [470, 45, 484, 55]}, {\"cell\": \"Yes\", \"bbox\": [206, 59, 219, 69]}, {\"cell\": \"559\", \"bbox\": [267, 59, 280, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [327, 59, 342, 69]}, {\"cell\": \"Reference\", \"bbox\": [414, 59, 447, 69]}, {\"cell\": \"Place where parents can park their cars*\", \"bbox\": [20, 73, 152, 83]}, {\"cell\": \"No\", \"bbox\": [207, 73, 219, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [268, 73, 278, 83]}, {\"cell\": \"15.5\", \"bbox\": [327, 73, 342, 83]}, {\"cell\": \"2.32\", \"bbox\": [377, 73, 392, 83]}, {\"cell\": \"0.44-12.16\", \"bbox\": [414, 73, 448, 83]}, {\"cell\": \".319\", \"bbox\": [470, 73, 484, 83]}, {\"cell\": \"Yes\", \"bbox\": [206, 87, 219, 97]}, {\"cell\": \"479\", \"bbox\": [267, 87, 280, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [327, 87, 342, 97]}, {\"cell\": \"Reference\", \"bbox\": [414, 87, 447, 97]}, {\"cell\": \"Bus stop\", \"bbox\": [71, 101, 101, 111]}, {\"cell\": \"No\", \"bbox\": [207, 101, 219, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [268, 101, 278, 111]}, {\"cell\": \"15.0\", \"bbox\": [327, 101, 342, 111]}, {\"cell\": \"2.00\", \"bbox\": [377, 101, 392, 111]}, {\"cell\": \"0.57-7.02\", \"bbox\": [416, 101, 446, 111]}, {\"cell\": \".276\", \"bbox\": [470, 101, 484, 111]}, {\"cell\": \"Yes\", \"bbox\": [206, 115, 219, 125]}, {\"cell\": \"482\", \"bbox\": [267, 115, 280, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [327, 115, 342, 125]}, {\"cell\": \"Reference\", \"bbox\": [414, 115, 447, 125]}, {\"cell\": \"Cycle lane separated from the road*\", \"bbox\": [27, 129, 145, 139]}, {\"cell\": \"No\", \"bbox\": [207, 129, 219, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 129, 280, 139]}, {\"cell\": \"100.0\", \"bbox\": [325, 129, 344, 139]}, {\"cell\": \"N/A\", \"bbox\": [423, 136, 438, 146]}, {\"cell\": \"Yes\", \"bbox\": [206, 143, 219, 153]}, {\"cell\": \"0\", \"bbox\": [270, 143, 276, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [329, 143, 340, 153]}, {\"cell\": \"Cycle lane on the road\", \"bbox\": [48, 157, 124, 167]}, {\"cell\": \"No\", \"bbox\": [207, 157, 219, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 157, 280, 167]}, {\"cell\": \"93.7\", \"bbox\": [327, 157, 342, 167]}, {\"cell\": \"0.46\", \"bbox\": [377, 157, 392, 167]}, {\"cell\": \"0.03-6.48\", \"bbox\": [416, 157, 446, 167]}, {\"cell\": \".556\", \"bbox\": [470, 157, 484, 167]}, {\"cell\": \"Yes\", \"bbox\": [206, 171, 219, 181]}, {\"cell\": \"36\", \"bbox\": [268, 171, 278, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [329, 171, 340, 181]}, {\"cell\": \"Reference\", \"bbox\": [414, 171, 447, 181]}, {\"cell\": \"Sidewalks on both sides‡\", \"bbox\": [45, 184, 127, 195]}, {\"cell\": \"No\", \"bbox\": [207, 185, 219, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [268, 185, 278, 195]}, {\"cell\": \"16.4\", \"bbox\": [327, 185, 342, 195]}, {\"cell\": \"3.07\", \"bbox\": [377, 185, 392, 195]}, {\"cell\": \"0.85-11.04\", \"bbox\": [414, 185, 448, 195]}, {\"cell\": \".086\", \"bbox\": [470, 185, 484, 195]}, {\"cell\": \"Yes\", \"bbox\": [206, 199, 219, 209]}, {\"cell\": \"474\", \"bbox\": [267, 199, 280, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [327, 199, 342, 209]}, {\"cell\": \"Reference\", \"bbox\": [414, 199, 447, 209]}, {\"cell\": \"Sidewalks on one side only\", \"bbox\": [41, 213, 131, 223]}, {\"cell\": \"No\", \"bbox\": [207, 213, 219, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 213, 280, 223]}, {\"cell\": \"57.8\", \"bbox\": [327, 213, 342, 223]}, {\"cell\": \"0.37\", \"bbox\": [377, 213, 392, 223]}, {\"cell\": \"0.13-1.04\", \"bbox\": [416, 213, 446, 223]}, {\"cell\": \".060\", \"bbox\": [470, 213, 484, 223]}, {\"cell\": \"Yes\", \"bbox\": [206, 227, 219, 237]}, {\"cell\": \"239\", \"bbox\": [267, 227, 280, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [327, 227, 342, 237]}, {\"cell\": \"Reference\", \"bbox\": [414, 227, 447, 237]}, {\"cell\": \"Marked pedestrian crossing\", \"bbox\": [41, 241, 131, 251]}, {\"cell\": \"No\", \"bbox\": [207, 241, 219, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 241, 280, 251]}, {\"cell\": \"18.3\", \"bbox\": [327, 241, 342, 251]}, {\"cell\": \"3.17\", \"bbox\": [377, 241, 392, 251]}, {\"cell\": \"0.98-10.27\", \"bbox\": [414, 241, 448, 251]}, {\"cell\": \".054\", \"bbox\": [470, 241, 484, 251]}, {\"cell\": \"Yes\", \"bbox\": [206, 255, 219, 265]}, {\"cell\": \"463\", \"bbox\": [267, 255, 280, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [327, 255, 342, 265]}, {\"cell\": \"Reference\", \"bbox\": [414, 255, 447, 265]}, {\"cell\": \"Traffic calming measures\", \"bbox\": [45, 269, 127, 279]}, {\"cell\": \"No\", \"bbox\": [207, 269, 219, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 269, 280, 279]}, {\"cell\": \"58.7\", \"bbox\": [327, 269, 342, 279]}, {\"cell\": \"4.05\", \"bbox\": [377, 269, 392, 279]}, {\"cell\": \"1.52-10.79\", \"bbox\": [414, 269, 448, 279]}, {\"cell\": \".005\", \"bbox\": [470, 269, 484, 279]}, {\"cell\": \"Yes\", \"bbox\": [206, 283, 219, 293]}, {\"cell\": \"234\", \"bbox\": [267, 283, 280, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [327, 283, 342, 293]}, {\"cell\": \"Reference\", \"bbox\": [414, 283, 447, 293]}, {\"cell\": \"School warning sign for road users*\", \"bbox\": [27, 297, 145, 307]}, {\"cell\": \"No\", \"bbox\": [207, 297, 219, 307]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [268, 297, 278, 307]}, {\"cell\": \"1.9\", \"bbox\": [329, 297, 340, 307]}, {\"cell\": \"1.12\", \"bbox\": [377, 297, 392, 307]}, {\"cell\": \"0.07-19.16\", \"bbox\": [414, 297, 448, 307]}, {\"cell\": \".937\", \"bbox\": [470, 297, 484, 307]}, {\"cell\": \"Yes\", \"bbox\": [206, 311, 219, 321]}, {\"cell\": \"556\", \"bbox\": [267, 311, 280, 321]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [327, 311, 342, 321]}, {\"cell\": \"Reference\", \"bbox\": [414, 311, 447, 321]}, {\"cell\": \"Road safety sign\", \"bbox\": [59, 325, 113, 335]}, {\"cell\": \"No\", \"bbox\": [207, 325, 219, 335]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [268, 325, 278, 335]}, {\"cell\": \"9.9\", \"bbox\": [329, 325, 340, 335]}, {\"cell\": \"1.29\", \"bbox\": [377, 325, 392, 335]}, {\"cell\": \"0.32-5.12\", \"bbox\": [416, 325, 446, 335]}, {\"cell\": \".722\", \"bbox\": [470, 325, 484, 335]}, {\"cell\": \"Yes\", \"bbox\": [206, 339, 219, 349]}, {\"cell\": \"501\", \"bbox\": [267, 339, 280, 349]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [327, 339, 342, 349]}, {\"cell\": \"Reference\", \"bbox\": [414, 339, 447, 349]}, {\"cell\": \"Route sign for cyclists\", \"bbox\": [50, 353, 122, 363]}, {\"cell\": \"No\", \"bbox\": [207, 353, 219, 363]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 353, 280, 363]}, {\"cell\": \"77.1\", \"bbox\": [327, 353, 342, 363]}, {\"cell\": \"0.55\", \"bbox\": [377, 353, 392, 363]}, {\"cell\": \"0.16-1.91\", \"bbox\": [416, 353, 446, 363]}, {\"cell\": \".345\", \"bbox\": [470, 353, 484, 363]}, {\"cell\": \"Yes\", \"bbox\": [206, 367, 219, 377]}, {\"cell\": \"130\", \"bbox\": [267, 367, 280, 377]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [327, 367, 342, 377]}, {\"cell\": \"Reference\", \"bbox\": [414, 367, 447, 377]}, {\"cell\": \"Fast food restaurants\", \"bbox\": [52, 381, 120, 391]}, {\"cell\": \"No\", \"bbox\": [207, 381, 219, 391]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 381, 280, 391]}, {\"cell\": \"62.1\", \"bbox\": [327, 381, 342, 391]}, {\"cell\": \"0.41\", \"bbox\": [377, 381, 392, 391]}, {\"cell\": \"0.14-1.20\", \"bbox\": [416, 381, 446, 391]}, {\"cell\": \".102\", \"bbox\": [470, 381, 484, 391]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Yes\", \"bbox\": [206, 395, 219, 405]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 395, 280, 405]}, {\"cell\": \"37.9\", \"bbox\": [327, 395, 342, 405]}, {\"cell\": \"Reference\", \"bbox\": [414, 395, 447, 405]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4049506_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
OutcomeHR95% CIP Value
Incident MI
All participants (N=991)2.68[EMPTY_CELL]<0.001
Obstructive CAD (n=619)1.87[EMPTY_CELL]0.01
Nonobstructive CAD (N=226)8.41[EMPTY_CELL]<0.001
Incident HF
All participants (N=991)1.60[EMPTY_CELL]0.001
Obstructive CAD (n=619)1.17[EMPTY_CELL]0.46
Nonobstructive CAD (n=226)1.61[EMPTY_CELL]0.14
Cardiovascular death
All participants (N=991)2.29[EMPTY_CELL]0.001
Obstructive CAD (n=619)2.74[EMPTY_CELL]0.001
Nonobstructive CAD (n=226)3.60[EMPTY_CELL]0.03
All‐cause death
All participants (N=991)1.84[EMPTY_CELL]0.004
Obstructive CAD (n=619)2.06[EMPTY_CELL]0.004
Nonobstructive CAD (n=226)2.25[EMPTY_CELL]0.11
Incident MI/HF/all‐cause death
All participants (N=991)1.62[EMPTY_CELL]<0.001
Obstructive CAD (n=619)1.71[EMPTY_CELL]<0.001
Nonobstructive CAD (n=226)1.60[EMPTY_CELL]0.12
Incident MI/cardiovascular death
All participants (N=991)2.22[EMPTY_CELL]<0.001
Obstructive CAD (n=619)2.06[EMPTY_CELL]<0.001
Nonobstructive CAD (n=226)4.70[EMPTY_CELL]<0.001
Incident MI/all‐cause death
All participants (N=991)2.13[EMPTY_CELL]<0.001
Obstructive CAD (n=619)2.06[EMPTY_CELL]<0.001
Nonobstructive CAD (n=226)3.62[EMPTY_CELL]<0.001
\", \"cells\": [{\"cell\": \"Outcome\", \"bbox\": [7, 7, 35, 14]}, {\"cell\": \"HR\", \"bbox\": [121, 7, 131, 14]}, {\"cell\": \"95% CI\", \"bbox\": [150, 7, 172, 14]}, {\"cell\": \"P Value\", \"bbox\": [201, 7, 225, 14]}, {\"cell\": \"Incident MI\", \"bbox\": [7, 21, 44, 30]}, {\"cell\": \"All participants (N=991)\", \"bbox\": [16, 36, 93, 45]}, {\"cell\": \"2.68\", \"bbox\": [121, 36, 137, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 36, 185, 45]}, {\"cell\": \"<0.001\", \"bbox\": [201, 36, 226, 45]}, {\"cell\": \"Obstructive CAD (n=619)\", \"bbox\": [16, 50, 97, 60]}, {\"cell\": \"1.87\", \"bbox\": [121, 50, 137, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 50, 185, 60]}, {\"cell\": \"0.01\", \"bbox\": [201, 50, 218, 60]}, {\"cell\": \"Nonobstructive CAD (N=226)\", \"bbox\": [16, 65, 109, 75]}, {\"cell\": \"8.41\", \"bbox\": [121, 65, 137, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 65, 185, 75]}, {\"cell\": \"<0.001\", \"bbox\": [201, 65, 226, 75]}, {\"cell\": \"Incident HF\", \"bbox\": [7, 80, 45, 90]}, {\"cell\": \"All participants (N=991)\", \"bbox\": [16, 95, 93, 104]}, {\"cell\": \"1.60\", \"bbox\": [121, 95, 137, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 95, 185, 104]}, {\"cell\": \"0.001\", \"bbox\": [201, 95, 222, 104]}, {\"cell\": \"Obstructive CAD (n=619)\", \"bbox\": [16, 110, 97, 119]}, {\"cell\": \"1.17\", \"bbox\": [121, 110, 137, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 110, 185, 119]}, {\"cell\": \"0.46\", \"bbox\": [201, 110, 218, 119]}, {\"cell\": \"Nonobstructive CAD (n=226)\", \"bbox\": [16, 124, 108, 134]}, {\"cell\": \"1.61\", \"bbox\": [121, 124, 137, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 124, 185, 134]}, {\"cell\": \"0.14\", \"bbox\": [201, 124, 218, 134]}, {\"cell\": \"Cardiovascular death\", \"bbox\": [7, 139, 75, 149]}, {\"cell\": \"All participants (N=991)\", \"bbox\": [16, 154, 93, 164]}, {\"cell\": \"2.29\", \"bbox\": [121, 154, 137, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 154, 185, 164]}, {\"cell\": \"0.001\", \"bbox\": [201, 154, 222, 164]}, {\"cell\": \"Obstructive CAD (n=619)\", \"bbox\": [16, 169, 97, 178]}, {\"cell\": \"2.74\", \"bbox\": [121, 169, 137, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 169, 185, 178]}, {\"cell\": \"0.001\", \"bbox\": [201, 169, 222, 178]}, {\"cell\": \"Nonobstructive CAD (n=226)\", \"bbox\": [16, 184, 108, 193]}, {\"cell\": \"3.60\", \"bbox\": [121, 184, 137, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 184, 185, 193]}, {\"cell\": \"0.03\", \"bbox\": [201, 184, 218, 193]}, {\"cell\": \"All‐cause death\", \"bbox\": [7, 198, 58, 208]}, {\"cell\": \"All participants (N=991)\", \"bbox\": [16, 213, 93, 223]}, {\"cell\": \"1.84\", \"bbox\": [121, 213, 137, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 213, 185, 223]}, {\"cell\": \"0.004\", \"bbox\": [201, 213, 222, 223]}, {\"cell\": \"Obstructive CAD (n=619)\", \"bbox\": [16, 228, 97, 238]}, {\"cell\": \"2.06\", \"bbox\": [121, 228, 137, 238]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 228, 185, 238]}, {\"cell\": \"0.004\", \"bbox\": [201, 228, 222, 238]}, {\"cell\": \"Nonobstructive CAD (n=226)\", \"bbox\": [16, 243, 108, 253]}, {\"cell\": \"2.25\", \"bbox\": [121, 243, 137, 253]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 243, 185, 253]}, {\"cell\": \"0.11\", \"bbox\": [201, 243, 218, 253]}, {\"cell\": \"Incident MI/HF/all‐cause death\", \"bbox\": [7, 258, 105, 267]}, {\"cell\": \"All participants (N=991)\", \"bbox\": [16, 272, 93, 282]}, {\"cell\": \"1.62\", \"bbox\": [121, 272, 137, 282]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 272, 185, 282]}, {\"cell\": \"<0.001\", \"bbox\": [201, 272, 226, 282]}, {\"cell\": \"Obstructive CAD (n=619)\", \"bbox\": [16, 287, 97, 297]}, {\"cell\": \"1.71\", \"bbox\": [121, 287, 137, 297]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 287, 185, 297]}, {\"cell\": \"<0.001\", \"bbox\": [201, 287, 226, 297]}, {\"cell\": \"Nonobstructive CAD (n=226)\", \"bbox\": [16, 302, 108, 312]}, {\"cell\": \"1.60\", \"bbox\": [121, 302, 137, 312]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 302, 185, 312]}, {\"cell\": \"0.12\", \"bbox\": [201, 302, 218, 312]}, {\"cell\": \"Incident MI/cardiovascular death\", \"bbox\": [7, 317, 111, 327]}, {\"cell\": \"All participants (N=991)\", \"bbox\": [16, 332, 93, 341]}, {\"cell\": \"2.22\", \"bbox\": [121, 332, 137, 341]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 332, 185, 341]}, {\"cell\": \"<0.001\", \"bbox\": [201, 332, 226, 341]}, {\"cell\": \"Obstructive CAD (n=619)\", \"bbox\": [16, 346, 97, 356]}, {\"cell\": \"2.06\", \"bbox\": [121, 346, 137, 356]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 346, 185, 356]}, {\"cell\": \"<0.001\", \"bbox\": [201, 346, 226, 356]}, {\"cell\": \"Nonobstructive CAD (n=226)\", \"bbox\": [16, 361, 108, 371]}, {\"cell\": \"4.70\", \"bbox\": [121, 361, 137, 371]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 361, 189, 371]}, {\"cell\": \"<0.001\", \"bbox\": [201, 361, 226, 371]}, {\"cell\": \"Incident MI/all‐cause death\", \"bbox\": [7, 376, 95, 386]}, {\"cell\": \"All participants (N=991)\", \"bbox\": [16, 391, 93, 401]}, {\"cell\": \"2.13\", \"bbox\": [121, 391, 137, 401]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 391, 185, 401]}, {\"cell\": \"<0.001\", \"bbox\": [201, 391, 226, 401]}, {\"cell\": \"Obstructive CAD (n=619)\", \"bbox\": [16, 406, 97, 415]}, {\"cell\": \"2.06\", \"bbox\": [121, 406, 137, 415]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 406, 185, 415]}, {\"cell\": \"<0.001\", \"bbox\": [201, 406, 226, 415]}, {\"cell\": \"Nonobstructive CAD (n=226)\", \"bbox\": [16, 420, 108, 430]}, {\"cell\": \"3.62\", \"bbox\": [121, 420, 137, 430]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 420, 185, 430]}, {\"cell\": \"<0.001\", \"bbox\": [201, 420, 226, 430]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5907559_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Biological process%aPathway[EMPTY_CELL]
[EMPTY_CELL]21.60%Axon guidance mediated by Slit/Robo (P00008)12.20%
[EMPTY_CELL]18.80%TGF-beta signaling pathway (P00052)10.20%
[EMPTY_CELL]17.00%Endothelin signaling pathway (P00019)8.20%
[EMPTY_CELL]13.80%Gonadotropin releasing hormone receptor pathway (P06664)8.20%
[EMPTY_CELL]11.50%Wnt signaling pathway (P00057)8.20%
[EMPTY_CELL]4.10%FGF signaling pathway (P00021)8.20%
[EMPTY_CELL]3.20%Angiogenesis (P00005)6.10%
[EMPTY_CELL]3.20%Hedgehog signaling pathway (P00025)6.10%
[EMPTY_CELL]3.20%Axon guidance mediated by netrin (P00009)4.10%
[EMPTY_CELL]1.80%CCKR signaling map (P06959)4.10%
\", \"cells\": [{\"cell\": \"Biological process\", \"bbox\": [1, 6, 64, 15]}, {\"cell\": \"%a\", \"bbox\": [192, 5, 205, 15]}, {\"cell\": \"Pathway\", \"bbox\": [255, 6, 286, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 26, 102, 35]}, {\"cell\": \"21.60%\", \"bbox\": [186, 26, 212, 35]}, {\"cell\": \"Axon guidance mediated by Slit/Robo (P00008)\", \"bbox\": [255, 26, 400, 35]}, {\"cell\": \"12.20%\", \"bbox\": [482, 26, 508, 35]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 38, 107, 46]}, {\"cell\": \"18.80%\", \"bbox\": [186, 38, 212, 46]}, {\"cell\": \"TGF-beta signaling pathway (P00052)\", \"bbox\": [255, 38, 370, 46]}, {\"cell\": \"10.20%\", \"bbox\": [482, 38, 508, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 50, 118, 58]}, {\"cell\": \"17.00%\", \"bbox\": [186, 50, 212, 58]}, {\"cell\": \"Endothelin signaling pathway (P00019)\", \"bbox\": [255, 50, 373, 58]}, {\"cell\": \"8.20%\", \"bbox\": [484, 50, 506, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 61, 95, 70]}, {\"cell\": \"13.80%\", \"bbox\": [186, 61, 212, 70]}, {\"cell\": \"Gonadotropin releasing hormone receptor pathway (P06664)\", \"bbox\": [255, 61, 439, 70]}, {\"cell\": \"8.20%\", \"bbox\": [484, 61, 506, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 73, 143, 82]}, {\"cell\": \"11.50%\", \"bbox\": [186, 73, 212, 82]}, {\"cell\": \"Wnt signaling pathway (P00057)\", \"bbox\": [255, 73, 354, 82]}, {\"cell\": \"8.20%\", \"bbox\": [484, 73, 506, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 85, 121, 93]}, {\"cell\": \"4.10%\", \"bbox\": [188, 85, 210, 93]}, {\"cell\": \"FGF signaling pathway (P00021)\", \"bbox\": [255, 85, 354, 93]}, {\"cell\": \"8.20%\", \"bbox\": [484, 85, 506, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 96, 102, 105]}, {\"cell\": \"3.20%\", \"bbox\": [188, 96, 210, 105]}, {\"cell\": \"Angiogenesis (P00005)\", \"bbox\": [255, 96, 326, 105]}, {\"cell\": \"6.10%\", \"bbox\": [484, 96, 506, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 108, 112, 117]}, {\"cell\": \"3.20%\", \"bbox\": [188, 108, 210, 117]}, {\"cell\": \"Hedgehog signaling pathway (P00025)\", \"bbox\": [255, 108, 373, 117]}, {\"cell\": \"6.10%\", \"bbox\": [484, 108, 506, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 120, 105, 128]}, {\"cell\": \"3.20%\", \"bbox\": [188, 120, 210, 128]}, {\"cell\": \"Axon guidance mediated by netrin (P00009)\", \"bbox\": [255, 120, 389, 128]}, {\"cell\": \"4.10%\", \"bbox\": [484, 120, 506, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 132, 82, 140]}, {\"cell\": \"1.80%\", \"bbox\": [188, 132, 210, 140]}, {\"cell\": \"CCKR signaling map (P06959)\", \"bbox\": [255, 132, 348, 140]}, {\"cell\": \"4.10%\", \"bbox\": [484, 132, 506, 140]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5002430_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
ReferenceAlboni et al. [5] Calkins et al. [15] Del Rosso et al. [16] Del Rosso et al. [6] Galizia et al. [17] Iglesias et al. [18] Sud et al. [19]
Patient selection[EMPTY_CELL]≥1 LOC≥1 LOC≥1 LOC≥1 LOC≥1 LOC or presyncope≥1 LOC with injury or recurrent LOC
Location[EMPTY_CELL]USItalyItalyItalySwitzerlandCanada
Clinical setting[EMPTY_CELL]Patients referred for evaluation of syncopeSyncope unitEmergency departmentAdmitted or emergency departmentAmbulatory syncope clinicPatients undergoing monitoring for syncope
Patient exclusion[EMPTY_CELL]Sick sinus syndrome[EMPTY_CELL]Non-syncopal cause of LOCSevere cognitive impairment, active malignancies, limitation in activities of daily livingSeizure, vertigo or comaEjection fraction <35%
Minimum age for inclusion[EMPTY_CELL]≥18[EMPTY_CELL]≥18≥65[EMPTY_CELL][EMPTY_CELL]
Age (mean±SD)[EMPTY_CELL]58±17<65: 43±16; ≥65: 76±763±2179±752±2167±14
Number of patients[EMPTY_CELL]8048526023193952
Main diagnostic categories[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Cardiac syncope[EMPTY_CELL]AV block; VTCSCSCSArrhythmiaPrimary arrhythmic
[EMPTY_CELL][EMPTY_CELL]n=16, n=32n=116n=44n=34n=148n=20
(Predominantly) neurally mediated syncope[EMPTY_CELL]VasodepressorVVSNon-CSNon-CSVV/PsyNonarrhythmia
[EMPTY_CELL][EMPTY_CELL]n=32n=296n=216n=174n=387n=32
Other[EMPTY_CELL][EMPTY_CELL]Unknown[EMPTY_CELL]UnknownHypotension Miscellaneous Unexplained[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]n=73[EMPTY_CELL]n=23n=58, n=27, n=319[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Reference\", \"bbox\": [1, 25, 34, 37]}, {\"cell\": \"Alboni et al. [5] \", \"bbox\": [72, 25, 120, 37]}, {\"cell\": \"Calkins et al. [15] \", \"bbox\": [131, 25, 186, 37]}, {\"cell\": \"Del Rosso et al. [16] \", \"bbox\": [199, 14, 240, 37]}, {\"cell\": \"Del Rosso et al. [6] \", \"bbox\": [247, 14, 297, 37]}, {\"cell\": \"Galizia et al. [17] \", \"bbox\": [302, 25, 355, 37]}, {\"cell\": \"Iglesias et al. [18] \", \"bbox\": [369, 25, 424, 37]}, {\"cell\": \"Sud et al. [19] \", \"bbox\": [435, 25, 479, 37]}, {\"cell\": \"Patient selection\", \"bbox\": [1, 42, 50, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [72, 42, 96, 53]}, {\"cell\": \"≥1 LOC\", \"bbox\": [131, 42, 155, 53]}, {\"cell\": \"≥1 LOC\", \"bbox\": [199, 42, 223, 53]}, {\"cell\": \"≥1 LOC\", \"bbox\": [247, 42, 271, 53]}, {\"cell\": \"≥1 LOC\", \"bbox\": [302, 42, 326, 53]}, {\"cell\": \"≥1 LOC or presyncope\", \"bbox\": [369, 37, 404, 59]}, {\"cell\": \"≥1 LOC with injury or recurrent LOC\", \"bbox\": [435, 37, 498, 59]}, {\"cell\": \"Location\", \"bbox\": [1, 59, 27, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [72, 59, 86, 70]}, {\"cell\": \"US\", \"bbox\": [131, 59, 142, 70]}, {\"cell\": \"Italy\", \"bbox\": [199, 59, 213, 70]}, {\"cell\": \"Italy\", \"bbox\": [247, 59, 261, 70]}, {\"cell\": \"Italy\", \"bbox\": [302, 59, 316, 70]}, {\"cell\": \"Switzerland\", \"bbox\": [369, 59, 404, 70]}, {\"cell\": \"Canada\", \"bbox\": [435, 59, 460, 70]}, {\"cell\": \"Clinical setting\", \"bbox\": [1, 81, 44, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [72, 81, 111, 92]}, {\"cell\": \"Patients referred for evaluation of syncope\", \"bbox\": [131, 70, 190, 103]}, {\"cell\": \"Syncope unit\", \"bbox\": [199, 81, 238, 92]}, {\"cell\": \"Emergency department\", \"bbox\": [247, 75, 282, 97]}, {\"cell\": \"Admitted or emergency department\", \"bbox\": [302, 70, 337, 103]}, {\"cell\": \"Ambulatory syncope clinic\", \"bbox\": [369, 75, 429, 97]}, {\"cell\": \"Patients undergoing monitoring for syncope\", \"bbox\": [435, 70, 495, 103]}, {\"cell\": \"Patient exclusion\", \"bbox\": [1, 125, 52, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Sick sinus syndrome\", \"bbox\": [131, 125, 192, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Non-syncopal cause of LOC\", \"bbox\": [247, 119, 289, 141]}, {\"cell\": \"Severe cognitive impairment, active malignancies, limitation in activities of daily living\", \"bbox\": [302, 103, 363, 158]}, {\"cell\": \"Seizure, vertigo or coma\", \"bbox\": [369, 119, 423, 141]}, {\"cell\": \"Ejection fraction <35%\", \"bbox\": [435, 119, 483, 141]}, {\"cell\": \"Minimum age for inclusion\", \"bbox\": [1, 158, 51, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [72, 163, 85, 174]}, {\"cell\": \"≥18\", \"bbox\": [131, 163, 144, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"≥18\", \"bbox\": [247, 163, 260, 174]}, {\"cell\": \"≥65\", \"bbox\": [302, 163, 315, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Age (mean±SD)\", \"bbox\": [1, 185, 49, 196]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [72, 185, 92, 196]}, {\"cell\": \"58±17\", \"bbox\": [131, 185, 151, 196]}, {\"cell\": \"<65: 43±16; ≥65: 76±7\", \"bbox\": [199, 180, 235, 202]}, {\"cell\": \"63±21\", \"bbox\": [247, 185, 267, 196]}, {\"cell\": \"79±7\", \"bbox\": [302, 185, 319, 196]}, {\"cell\": \"52±21\", \"bbox\": [369, 185, 389, 196]}, {\"cell\": \"67±14\", \"bbox\": [435, 185, 455, 196]}, {\"cell\": \"Number of patients\", \"bbox\": [1, 202, 57, 213]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [72, 202, 85, 213]}, {\"cell\": \"80\", \"bbox\": [131, 202, 140, 213]}, {\"cell\": \"485\", \"bbox\": [199, 202, 212, 213]}, {\"cell\": \"260\", \"bbox\": [247, 202, 260, 213]}, {\"cell\": \"231\", \"bbox\": [302, 202, 315, 213]}, {\"cell\": \"939\", \"bbox\": [369, 202, 381, 213]}, {\"cell\": \"52\", \"bbox\": [435, 202, 444, 213]}, {\"cell\": \"Main diagnostic categories\", \"bbox\": [1, 213, 48, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Cardiac syncope\", \"bbox\": [1, 235, 51, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [72, 235, 83, 246]}, {\"cell\": \"AV block; VT\", \"bbox\": [131, 235, 170, 246]}, {\"cell\": \"CS\", \"bbox\": [199, 235, 210, 246]}, {\"cell\": \"CS\", \"bbox\": [247, 235, 258, 246]}, {\"cell\": \"CS\", \"bbox\": [302, 235, 313, 246]}, {\"cell\": \"Arrhythmia\", \"bbox\": [369, 235, 402, 246]}, {\"cell\": \"Primary arrhythmic\", \"bbox\": [435, 235, 492, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [72, 246, 88, 257]}, {\"cell\": \"n=16, n=32\", \"bbox\": [131, 246, 166, 257]}, {\"cell\": \"n=116\", \"bbox\": [199, 246, 219, 257]}, {\"cell\": \"n=44\", \"bbox\": [247, 246, 264, 257]}, {\"cell\": \"n=34\", \"bbox\": [302, 246, 319, 257]}, {\"cell\": \"n=148\", \"bbox\": [369, 246, 389, 257]}, {\"cell\": \"n=20\", \"bbox\": [435, 246, 452, 257]}, {\"cell\": \"(Predominantly) neurally mediated syncope\", \"bbox\": [1, 257, 54, 290]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [72, 262, 126, 284]}, {\"cell\": \"Vasodepressor\", \"bbox\": [131, 268, 177, 279]}, {\"cell\": \"VVS\", \"bbox\": [199, 268, 214, 279]}, {\"cell\": \"Non-CS\", \"bbox\": [247, 268, 272, 279]}, {\"cell\": \"Non-CS\", \"bbox\": [302, 268, 327, 279]}, {\"cell\": \"VV/Psy\", \"bbox\": [369, 268, 392, 279]}, {\"cell\": \"Nonarrhythmia\", \"bbox\": [435, 268, 480, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [72, 290, 92, 301]}, {\"cell\": \"n=32\", \"bbox\": [131, 290, 147, 301]}, {\"cell\": \"n=296\", \"bbox\": [199, 290, 219, 301]}, {\"cell\": \"n=216\", \"bbox\": [247, 290, 267, 301]}, {\"cell\": \"n=174\", \"bbox\": [302, 290, 322, 301]}, {\"cell\": \"n=387\", \"bbox\": [369, 290, 389, 301]}, {\"cell\": \"n=32\", \"bbox\": [435, 290, 452, 301]}, {\"cell\": \"Other\", \"bbox\": [1, 312, 19, 323]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [72, 301, 112, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Unknown\", \"bbox\": [199, 312, 228, 323]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Unknown\", \"bbox\": [302, 312, 331, 323]}, {\"cell\": \"Hypotension Miscellaneous Unexplained\", \"bbox\": [369, 301, 412, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [72, 334, 88, 345]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"n=73\", \"bbox\": [199, 334, 215, 345]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"n=23\", \"bbox\": [302, 334, 319, 345]}, {\"cell\": \"n=58, n=27, n=319\", \"bbox\": [369, 334, 425, 345]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3815402_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Ki67 expressionAno1 expression
Lown (%)Highn (%)P value†,‡OR(95%CI)§
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]97(39.9)146(60.1)0.054†1 (reference)
[EMPTY_CELL]20(57.1)15(42.9)0.048‡0.480(0.232-0.995)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]48(43.6)62(56.4)0.467†1 (reference)
[EMPTY_CELL]10(52.6)9(47.4)0.480‡0.699(0.259-1.885)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]94(39.2)146(60.8)0.289†1 (reference)
[EMPTY_CELL]17(48.6)18(51.4)0.250‡0.654(0.317-1.348)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]51(45.1)62(54.9)0.060†1 (reference)
[EMPTY_CELL]13(68.4)6(31.6)0.057‡0.356(0.123-1.029)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]25(29.8)59(70.2)0.801†1 (reference)
[EMPTY_CELL]4(33.3)8(66.7)0.935‡0.942(0.227-3.911)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]120(44.6)149(55.4)0.037†1 (reference)
[EMPTY_CELL]26(61.9)16(38.1)0.040‡0.497(0.255-0.969)
\", \"cells\": [{\"cell\": \"Ki67 expression\", \"bbox\": [4, 6, 73, 16]}, {\"cell\": \"Ano1 expression\", \"bbox\": [288, 6, 361, 16]}, {\"cell\": \"Lown (%)\", \"bbox\": [175, 22, 201, 45]}, {\"cell\": \"Highn (%)\", \"bbox\": [249, 22, 276, 45]}, {\"cell\": \"P value†,‡\", \"bbox\": [317, 22, 357, 33]}, {\"cell\": \"OR(95%CI)§\", \"bbox\": [408, 22, 465, 33]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 52, 92, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 69, 34, 80]}, {\"cell\": \"97(39.9)\", \"bbox\": [170, 69, 206, 80]}, {\"cell\": \"146(60.1)\", \"bbox\": [242, 69, 283, 80]}, {\"cell\": \"0.054†\", \"bbox\": [323, 68, 351, 80]}, {\"cell\": \"1 (reference)\", \"bbox\": [410, 69, 463, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 86, 35, 97]}, {\"cell\": \"20(57.1)\", \"bbox\": [170, 86, 206, 97]}, {\"cell\": \"15(42.9)\", \"bbox\": [244, 86, 281, 97]}, {\"cell\": \"0.048‡\", \"bbox\": [323, 85, 351, 97]}, {\"cell\": \"0.480(0.232-0.995)\", \"bbox\": [397, 86, 476, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 103, 95, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 120, 34, 131]}, {\"cell\": \"48(43.6)\", \"bbox\": [170, 120, 206, 131]}, {\"cell\": \"62(56.4)\", \"bbox\": [244, 120, 281, 131]}, {\"cell\": \"0.467†\", \"bbox\": [323, 119, 351, 131]}, {\"cell\": \"1 (reference)\", \"bbox\": [410, 120, 463, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 136, 36, 148]}, {\"cell\": \"10(52.6)\", \"bbox\": [170, 136, 206, 148]}, {\"cell\": \"9(47.4)\", \"bbox\": [247, 136, 278, 148]}, {\"cell\": \"0.480‡\", \"bbox\": [323, 136, 351, 148]}, {\"cell\": \"0.699(0.259-1.885)\", \"bbox\": [397, 136, 476, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 153, 91, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 170, 34, 181]}, {\"cell\": \"94(39.2)\", \"bbox\": [170, 170, 206, 181]}, {\"cell\": \"146(60.8)\", \"bbox\": [242, 170, 283, 181]}, {\"cell\": \"0.289†\", \"bbox\": [323, 170, 351, 181]}, {\"cell\": \"1 (reference)\", \"bbox\": [410, 170, 463, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 187, 36, 198]}, {\"cell\": \"17(48.6)\", \"bbox\": [170, 187, 206, 198]}, {\"cell\": \"18(51.4)\", \"bbox\": [244, 187, 281, 198]}, {\"cell\": \"0.250‡\", \"bbox\": [323, 187, 351, 198]}, {\"cell\": \"0.654(0.317-1.348)\", \"bbox\": [397, 187, 476, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 204, 94, 215]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 221, 34, 232]}, {\"cell\": \"51(45.1)\", \"bbox\": [170, 221, 206, 232]}, {\"cell\": \"62(54.9)\", \"bbox\": [244, 221, 281, 232]}, {\"cell\": \"0.060†\", \"bbox\": [323, 221, 351, 232]}, {\"cell\": \"1 (reference)\", \"bbox\": [410, 221, 463, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 238, 36, 249]}, {\"cell\": \"13(68.4)\", \"bbox\": [170, 238, 206, 249]}, {\"cell\": \"6(31.6)\", \"bbox\": [247, 238, 278, 249]}, {\"cell\": \"0.057‡\", \"bbox\": [323, 238, 351, 249]}, {\"cell\": \"0.356(0.123-1.029)\", \"bbox\": [397, 238, 476, 249]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 255, 102, 266]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 272, 34, 283]}, {\"cell\": \"25(29.8)\", \"bbox\": [170, 272, 206, 283]}, {\"cell\": \"59(70.2)\", \"bbox\": [244, 272, 281, 283]}, {\"cell\": \"0.801†\", \"bbox\": [323, 271, 351, 283]}, {\"cell\": \"1 (reference)\", \"bbox\": [410, 272, 463, 283]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 289, 36, 300]}, {\"cell\": \"4(33.3)\", \"bbox\": [172, 289, 203, 300]}, {\"cell\": \"8(66.7)\", \"bbox\": [247, 289, 278, 300]}, {\"cell\": \"0.935‡\", \"bbox\": [323, 288, 351, 300]}, {\"cell\": \"0.942(0.227-3.911)\", \"bbox\": [397, 289, 476, 300]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 306, 107, 317]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 323, 34, 334]}, {\"cell\": \"120(44.6)\", \"bbox\": [167, 323, 208, 334]}, {\"cell\": \"149(55.4)\", \"bbox\": [242, 323, 283, 334]}, {\"cell\": \"0.037†\", \"bbox\": [323, 322, 351, 334]}, {\"cell\": \"1 (reference)\", \"bbox\": [410, 323, 463, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 340, 36, 351]}, {\"cell\": \"26(61.9)\", \"bbox\": [170, 340, 206, 351]}, {\"cell\": \"16(38.1)\", \"bbox\": [244, 340, 281, 351]}, {\"cell\": \"0.040‡\", \"bbox\": [323, 339, 351, 351]}, {\"cell\": \"0.497(0.255-0.969)\", \"bbox\": [397, 340, 476, 351]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5689589_005_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
SexAgeWBCRBCHGBHCTMCVMCHMCHCRBC Morph.
M1 y 10 m5.38.318.35263[EMPTY_CELL]31Normal
M1 y 10 m5.98.616.85260[EMPTY_CELL]32PC∗
M1 y 5 m8.77.614.84964[EMPTY_CELL]30PC∗
M1 y 5 m4.58.816.45360[EMPTY_CELL]31Normal
M1 y 5 m4.58.716.35260[EMPTY_CELL]31PC∗
M1 y 5 m78.916.75562[EMPTY_CELL]30PC∗/AN∗
F1 y 6 m3.77.514.24763[EMPTY_CELL]30Normal
M1 y 6 m5.48.315.65262[EMPTY_CELL]30Normal
F1 y 5 m4.87.8154963[EMPTY_CELL]31Normal
F1 y 5 m3.77.113.74665[EMPTY_CELL]30Normal
Ave.5.48.215.8516219.1[EMPTY_CELL]n/a
Ref. range5.5–115.5–10.510.6–17.233–5047–6615–23[EMPTY_CELL]n/a
Units103/μL106/μLg/dL%fLpg[EMPTY_CELL]n/a
\", \"cells\": [{\"cell\": \"Sex\", \"bbox\": [2, 4, 17, 15]}, {\"cell\": \"Age\", \"bbox\": [44, 4, 60, 15]}, {\"cell\": \"WBC\", \"bbox\": [92, 4, 115, 15]}, {\"cell\": \"RBC\", \"bbox\": [146, 4, 165, 15]}, {\"cell\": \"HGB\", \"bbox\": [202, 4, 222, 15]}, {\"cell\": \"HCT\", \"bbox\": [254, 4, 274, 15]}, {\"cell\": \"MCV\", \"bbox\": [301, 4, 323, 15]}, {\"cell\": \"MCH\", \"bbox\": [348, 4, 371, 15]}, {\"cell\": \"MCHC\", \"bbox\": [395, 4, 424, 15]}, {\"cell\": \"RBC Morph.\", \"bbox\": [449, 4, 497, 15]}, {\"cell\": \"M\", \"bbox\": [2, 17, 12, 27]}, {\"cell\": \"1 y 10 m\", \"bbox\": [37, 17, 66, 27]}, {\"cell\": \"5.3\", \"bbox\": [97, 17, 110, 27]}, {\"cell\": \"8.3\", \"bbox\": [150, 17, 162, 27]}, {\"cell\": \"18.3\", \"bbox\": [204, 17, 220, 27]}, {\"cell\": \"52\", \"bbox\": [259, 17, 269, 27]}, {\"cell\": \"63\", \"bbox\": [307, 17, 317, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 17, 367, 27]}, {\"cell\": \"31\", \"bbox\": [405, 17, 414, 27]}, {\"cell\": \"Normal\", \"bbox\": [458, 17, 488, 27]}, {\"cell\": \"M\", \"bbox\": [2, 29, 12, 40]}, {\"cell\": \"1 y 10 m\", \"bbox\": [37, 29, 66, 40]}, {\"cell\": \"5.9\", \"bbox\": [97, 29, 110, 40]}, {\"cell\": \"8.6\", \"bbox\": [150, 29, 162, 40]}, {\"cell\": \"16.8\", \"bbox\": [204, 29, 220, 40]}, {\"cell\": \"52\", \"bbox\": [259, 29, 269, 40]}, {\"cell\": \"60\", \"bbox\": [307, 29, 318, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 29, 367, 40]}, {\"cell\": \"32\", \"bbox\": [405, 29, 415, 40]}, {\"cell\": \"PC∗\", \"bbox\": [464, 25, 481, 40]}, {\"cell\": \"M\", \"bbox\": [2, 42, 12, 52]}, {\"cell\": \"1 y 5 m\", \"bbox\": [39, 42, 65, 52]}, {\"cell\": \"8.7\", \"bbox\": [97, 42, 110, 52]}, {\"cell\": \"7.6\", \"bbox\": [150, 42, 162, 52]}, {\"cell\": \"14.8\", \"bbox\": [204, 42, 220, 52]}, {\"cell\": \"49\", \"bbox\": [259, 42, 270, 52]}, {\"cell\": \"64\", \"bbox\": [307, 42, 318, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 42, 367, 52]}, {\"cell\": \"30\", \"bbox\": [405, 42, 415, 52]}, {\"cell\": \"PC∗\", \"bbox\": [464, 38, 481, 52]}, {\"cell\": \"M\", \"bbox\": [2, 54, 12, 65]}, {\"cell\": \"1 y 5 m\", \"bbox\": [39, 54, 65, 65]}, {\"cell\": \"4.5\", \"bbox\": [97, 54, 110, 65]}, {\"cell\": \"8.8\", \"bbox\": [150, 54, 162, 65]}, {\"cell\": \"16.4\", \"bbox\": [204, 54, 220, 65]}, {\"cell\": \"53\", \"bbox\": [259, 54, 269, 65]}, {\"cell\": \"60\", \"bbox\": [307, 54, 318, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 54, 367, 65]}, {\"cell\": \"31\", \"bbox\": [405, 54, 414, 65]}, {\"cell\": \"Normal\", \"bbox\": [458, 54, 488, 65]}, {\"cell\": \"M\", \"bbox\": [2, 67, 12, 77]}, {\"cell\": \"1 y 5 m\", \"bbox\": [39, 67, 65, 77]}, {\"cell\": \"4.5\", \"bbox\": [97, 67, 110, 77]}, {\"cell\": \"8.7\", \"bbox\": [150, 67, 162, 77]}, {\"cell\": \"16.3\", \"bbox\": [204, 67, 220, 77]}, {\"cell\": \"52\", \"bbox\": [259, 67, 269, 77]}, {\"cell\": \"60\", \"bbox\": [307, 67, 318, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 67, 367, 77]}, {\"cell\": \"31\", \"bbox\": [405, 67, 414, 77]}, {\"cell\": \"PC∗\", \"bbox\": [464, 63, 481, 77]}, {\"cell\": \"M\", \"bbox\": [2, 79, 12, 90]}, {\"cell\": \"1 y 5 m\", \"bbox\": [39, 79, 65, 90]}, {\"cell\": \"7\", \"bbox\": [100, 79, 107, 90]}, {\"cell\": \"8.9\", \"bbox\": [150, 79, 162, 90]}, {\"cell\": \"16.7\", \"bbox\": [204, 79, 220, 90]}, {\"cell\": \"55\", \"bbox\": [259, 79, 269, 90]}, {\"cell\": \"62\", \"bbox\": [307, 79, 317, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 79, 367, 90]}, {\"cell\": \"30\", \"bbox\": [405, 79, 415, 90]}, {\"cell\": \"PC∗/AN∗\", \"bbox\": [454, 75, 491, 90]}, {\"cell\": \"F\", \"bbox\": [2, 91, 9, 102]}, {\"cell\": \"1 y 6 m\", \"bbox\": [39, 91, 65, 102]}, {\"cell\": \"3.7\", \"bbox\": [97, 91, 110, 102]}, {\"cell\": \"7.5\", \"bbox\": [150, 91, 161, 102]}, {\"cell\": \"14.2\", \"bbox\": [204, 91, 220, 102]}, {\"cell\": \"47\", \"bbox\": [259, 91, 270, 102]}, {\"cell\": \"63\", \"bbox\": [307, 91, 317, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 91, 368, 102]}, {\"cell\": \"30\", \"bbox\": [405, 91, 415, 102]}, {\"cell\": \"Normal\", \"bbox\": [458, 91, 488, 102]}, {\"cell\": \"M\", \"bbox\": [2, 104, 12, 115]}, {\"cell\": \"1 y 6 m\", \"bbox\": [39, 104, 65, 115]}, {\"cell\": \"5.4\", \"bbox\": [97, 104, 110, 115]}, {\"cell\": \"8.3\", \"bbox\": [150, 104, 162, 115]}, {\"cell\": \"15.6\", \"bbox\": [204, 104, 220, 115]}, {\"cell\": \"52\", \"bbox\": [259, 104, 269, 115]}, {\"cell\": \"62\", \"bbox\": [307, 104, 317, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 104, 367, 115]}, {\"cell\": \"30\", \"bbox\": [405, 104, 415, 115]}, {\"cell\": \"Normal\", \"bbox\": [458, 104, 488, 115]}, {\"cell\": \"F\", \"bbox\": [2, 116, 9, 127]}, {\"cell\": \"1 y 5 m\", \"bbox\": [39, 116, 65, 127]}, {\"cell\": \"4.8\", \"bbox\": [97, 116, 110, 127]}, {\"cell\": \"7.8\", \"bbox\": [150, 116, 162, 127]}, {\"cell\": \"15\", \"bbox\": [207, 116, 216, 127]}, {\"cell\": \"49\", \"bbox\": [259, 116, 270, 127]}, {\"cell\": \"63\", \"bbox\": [307, 116, 317, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 116, 367, 127]}, {\"cell\": \"31\", \"bbox\": [405, 116, 414, 127]}, {\"cell\": \"Normal\", \"bbox\": [458, 116, 488, 127]}, {\"cell\": \"F\", \"bbox\": [2, 129, 9, 139]}, {\"cell\": \"1 y 5 m\", \"bbox\": [39, 129, 65, 139]}, {\"cell\": \"3.7\", \"bbox\": [97, 129, 110, 139]}, {\"cell\": \"7.1\", \"bbox\": [151, 129, 161, 139]}, {\"cell\": \"13.7\", \"bbox\": [204, 129, 220, 139]}, {\"cell\": \"46\", \"bbox\": [259, 129, 270, 139]}, {\"cell\": \"65\", \"bbox\": [307, 129, 317, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 129, 367, 139]}, {\"cell\": \"30\", \"bbox\": [404, 129, 415, 139]}, {\"cell\": \"Normal\", \"bbox\": [458, 129, 488, 139]}, {\"cell\": \"Ave.\", \"bbox\": [26, 142, 43, 152]}, {\"cell\": \"5.4\", \"bbox\": [97, 142, 110, 152]}, {\"cell\": \"8.2\", \"bbox\": [150, 142, 162, 152]}, {\"cell\": \"15.8\", \"bbox\": [204, 142, 220, 152]}, {\"cell\": \"51\", \"bbox\": [260, 142, 269, 152]}, {\"cell\": \"62\", \"bbox\": [307, 142, 317, 152]}, {\"cell\": \"19.1\", \"bbox\": [353, 142, 367, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [405, 142, 414, 152]}, {\"cell\": \"n/a\", \"bbox\": [466, 142, 479, 152]}, {\"cell\": \"Ref. range\", \"bbox\": [15, 154, 53, 165]}, {\"cell\": \"5.5–11\", \"bbox\": [92, 154, 115, 165]}, {\"cell\": \"5.5–10.5\", \"bbox\": [141, 154, 171, 165]}, {\"cell\": \"10.6–17.2\", \"bbox\": [196, 154, 228, 165]}, {\"cell\": \"33–50\", \"bbox\": [253, 154, 276, 165]}, {\"cell\": \"47–66\", \"bbox\": [300, 154, 324, 165]}, {\"cell\": \"15–23\", \"bbox\": [349, 154, 371, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [399, 154, 421, 165]}, {\"cell\": \"n/a\", \"bbox\": [466, 154, 479, 165]}, {\"cell\": \"Units\", \"bbox\": [24, 167, 45, 177]}, {\"cell\": \"103/μL\", \"bbox\": [91, 163, 116, 179]}, {\"cell\": \"106/μL\", \"bbox\": [143, 163, 169, 179]}, {\"cell\": \"g/dL\", \"bbox\": [203, 167, 221, 177]}, {\"cell\": \"%\", \"bbox\": [260, 167, 269, 177]}, {\"cell\": \"fL\", \"bbox\": [307, 167, 317, 177]}, {\"cell\": \"pg\", \"bbox\": [354, 167, 365, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [401, 167, 419, 177]}, {\"cell\": \"n/a\", \"bbox\": [466, 167, 479, 177]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4736415_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
GeneAccession NumberPrimer sequence(5'-3')Product lengthTm
ERCC1NM_001983.3[EMPTY_CELL]273 bp59°C
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
BAG1NM_004323.5[EMPTY_CELL]242 bp54.5°C
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
BRCA1NM_007294.3[EMPTY_CELL]208 bp55.6°C
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
RRM1NM_001033.3[EMPTY_CELL]161 bp57.5°C
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
TUBB3NM_006086.3[EMPTY_CELL]222 bp49°C
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
β-actinNM_001101.3[EMPTY_CELL]334 bp60°C
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Gene\", \"bbox\": [18, 4, 38, 13]}, {\"cell\": \"Accession Number\", \"bbox\": [59, 4, 125, 13]}, {\"cell\": \"Primer sequence(5'-3')\", \"bbox\": [159, 4, 238, 13]}, {\"cell\": \"Product length\", \"bbox\": [360, 4, 414, 13]}, {\"cell\": \"Tm\", \"bbox\": [452, 4, 465, 13]}, {\"cell\": \"ERCC1\", \"bbox\": [16, 17, 39, 26]}, {\"cell\": \"NM_001983.3\", \"bbox\": [59, 17, 104, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [159, 17, 303, 26]}, {\"cell\": \"273 bp\", \"bbox\": [374, 17, 399, 26]}, {\"cell\": \"59°C\", \"bbox\": [450, 17, 467, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [159, 30, 300, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"BAG1\", \"bbox\": [18, 44, 37, 53]}, {\"cell\": \"NM_004323.5\", \"bbox\": [59, 44, 104, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [159, 44, 291, 53]}, {\"cell\": \"242 bp\", \"bbox\": [374, 44, 399, 53]}, {\"cell\": \"54.5°C\", \"bbox\": [448, 44, 469, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [159, 57, 301, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"BRCA1\", \"bbox\": [16, 70, 39, 79]}, {\"cell\": \"NM_007294.3\", \"bbox\": [59, 70, 104, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [159, 70, 299, 79]}, {\"cell\": \"208 bp\", \"bbox\": [374, 70, 399, 79]}, {\"cell\": \"55.6°C\", \"bbox\": [448, 70, 469, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [159, 83, 305, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"RRM1\", \"bbox\": [18, 96, 38, 106]}, {\"cell\": \"NM_001033.3\", \"bbox\": [59, 96, 104, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [159, 96, 288, 106]}, {\"cell\": \"161 bp\", \"bbox\": [374, 96, 399, 106]}, {\"cell\": \"57.5°C\", \"bbox\": [448, 96, 469, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [159, 110, 294, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TUBB3\", \"bbox\": [16, 123, 39, 132]}, {\"cell\": \"NM_006086.3\", \"bbox\": [59, 123, 104, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [159, 123, 284, 132]}, {\"cell\": \"222 bp\", \"bbox\": [374, 123, 399, 132]}, {\"cell\": \"49°C\", \"bbox\": [450, 123, 467, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [159, 136, 284, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"β-actin\", \"bbox\": [16, 149, 40, 159]}, {\"cell\": \"NM_001101.3\", \"bbox\": [59, 149, 104, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [159, 149, 298, 158]}, {\"cell\": \"334 bp\", \"bbox\": [374, 149, 399, 158]}, {\"cell\": \"60°C\", \"bbox\": [450, 149, 467, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [159, 162, 310, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3338093_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariablesFrequencyPercent
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]4264.6
[EMPTY_CELL]2335.4
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]2944.6
[EMPTY_CELL]3655.4
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]4061.5
[EMPTY_CELL]2538.5
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]3858.5
[EMPTY_CELL]2741.5
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]2538.5
[EMPTY_CELL]4061.5
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]1218.5
[EMPTY_CELL]5381.5
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]5787.7
[EMPTY_CELL]69.2
[EMPTY_CELL]23.1
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]3452.3
[EMPTY_CELL]1015.4
[EMPTY_CELL]46.2
[EMPTY_CELL]1624.6
[EMPTY_CELL]11.5
\", \"cells\": [{\"cell\": \"Variables\", \"bbox\": [2, 5, 37, 15]}, {\"cell\": \"Frequency\", \"bbox\": [162, 4, 202, 15]}, {\"cell\": \"Percent\", \"bbox\": [212, 4, 241, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 18, 53, 29]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 32, 26, 42]}, {\"cell\": \"42\", \"bbox\": [177, 31, 187, 41]}, {\"cell\": \"64.6\", \"bbox\": [217, 31, 235, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 45, 25, 56]}, {\"cell\": \"23\", \"bbox\": [177, 44, 187, 55]}, {\"cell\": \"35.4\", \"bbox\": [218, 44, 234, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 58, 59, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 71, 26, 82]}, {\"cell\": \"29\", \"bbox\": [177, 71, 187, 81]}, {\"cell\": \"44.6\", \"bbox\": [217, 71, 235, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 85, 25, 95]}, {\"cell\": \"36\", \"bbox\": [177, 84, 187, 94]}, {\"cell\": \"55.4\", \"bbox\": [218, 84, 234, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 98, 41, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 111, 26, 122]}, {\"cell\": \"40\", \"bbox\": [176, 110, 187, 121]}, {\"cell\": \"61.5\", \"bbox\": [218, 110, 234, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 124, 25, 135]}, {\"cell\": \"25\", \"bbox\": [177, 124, 187, 134]}, {\"cell\": \"38.5\", \"bbox\": [218, 124, 234, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 138, 67, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 151, 26, 162]}, {\"cell\": \"38\", \"bbox\": [177, 150, 187, 161]}, {\"cell\": \"58.5\", \"bbox\": [218, 150, 234, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 164, 25, 175]}, {\"cell\": \"27\", \"bbox\": [177, 163, 187, 174]}, {\"cell\": \"41.5\", \"bbox\": [218, 163, 234, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 177, 59, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 191, 26, 201]}, {\"cell\": \"25\", \"bbox\": [177, 190, 187, 201]}, {\"cell\": \"38.5\", \"bbox\": [218, 190, 234, 201]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 204, 25, 215]}, {\"cell\": \"40\", \"bbox\": [176, 203, 187, 214]}, {\"cell\": \"61.5\", \"bbox\": [218, 203, 234, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 217, 91, 228]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 230, 26, 241]}, {\"cell\": \"12\", \"bbox\": [177, 230, 186, 240]}, {\"cell\": \"18.5\", \"bbox\": [218, 230, 234, 240]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 244, 25, 254]}, {\"cell\": \"53\", \"bbox\": [177, 243, 187, 254]}, {\"cell\": \"81.5\", \"bbox\": [219, 243, 234, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 257, 84, 268]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 270, 62, 281]}, {\"cell\": \"57\", \"bbox\": [177, 269, 187, 280]}, {\"cell\": \"87.7\", \"bbox\": [219, 269, 234, 280]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 283, 66, 294]}, {\"cell\": \"6\", \"bbox\": [179, 283, 185, 293]}, {\"cell\": \"9.2\", \"bbox\": [220, 283, 232, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 297, 59, 307]}, {\"cell\": \"2\", \"bbox\": [179, 296, 185, 307]}, {\"cell\": \"3.1\", \"bbox\": [221, 296, 232, 307]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 310, 141, 321]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 322, 149, 354]}, {\"cell\": \"34\", \"bbox\": [177, 332, 187, 343]}, {\"cell\": \"52.3\", \"bbox\": [218, 332, 234, 343]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 357, 153, 367]}, {\"cell\": \"10\", \"bbox\": [177, 356, 187, 366]}, {\"cell\": \"15.4\", \"bbox\": [218, 356, 234, 366]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 370, 152, 381]}, {\"cell\": \"4\", \"bbox\": [179, 369, 185, 380]}, {\"cell\": \"6.2\", \"bbox\": [220, 369, 233, 380]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 383, 62, 394]}, {\"cell\": \"16\", \"bbox\": [177, 382, 187, 393]}, {\"cell\": \"24.6\", \"bbox\": [218, 382, 235, 393]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 396, 59, 407]}, {\"cell\": \"1\", \"bbox\": [179, 396, 184, 406]}, {\"cell\": \"1.5\", \"bbox\": [221, 396, 232, 406]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3874318_004_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Model Building[EMPTY_CELL]
[EMPTY_CELL]70 kVp, 100 mA, 5 msec
[EMPTY_CELL]40 sec
[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]70 kVp, 100 mA, 5 msec
[EMPTY_CELL]70 msec
[EMPTY_CELL]70 msec
[EMPTY_CELL]66 msec
[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]5 msec
[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]10 msec
[EMPTY_CELL]5 msec
\", \"cells\": [{\"cell\": \"Model Building\", \"bbox\": [1, 7, 54, 16]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 16, 113, 25]}, {\"cell\": \"70 kVp, 100 mA, 5 msec\", \"bbox\": [301, 16, 386, 25]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 25, 118, 34]}, {\"cell\": \"40 sec\", \"bbox\": [332, 25, 355, 34]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 38, 133, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 47, 113, 56]}, {\"cell\": \"70 kVp, 100 mA, 5 msec\", \"bbox\": [301, 47, 386, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 56, 182, 65]}, {\"cell\": \"70 msec\", \"bbox\": [329, 56, 358, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 65, 160, 74]}, {\"cell\": \"70 msec\", \"bbox\": [329, 65, 358, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 74, 214, 83]}, {\"cell\": \"66 msec\", \"bbox\": [329, 74, 358, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 87, 189, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 96, 188, 105]}, {\"cell\": \"5 msec\", \"bbox\": [331, 96, 356, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 109, 116, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 118, 224, 127]}, {\"cell\": \"10 msec\", \"bbox\": [329, 118, 358, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 127, 210, 136]}, {\"cell\": \"5 msec\", \"bbox\": [331, 127, 356, 136]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5714564_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariablesORa95% CIP -value
Body mass index0,994[EMPTY_CELL]0,849
Physical activity0,507[EMPTY_CELL]0,001
Early age at menarche (<12 years)2,474[EMPTY_CELL]0,03
Oral contraceptive (>6 months)1,716[EMPTY_CELL]0,005
Early childbearing (<30 years)0,212[EMPTY_CELL]0,001
Multiparity0,742[EMPTY_CELL]<0,001
Lactation (>6 months)0,737[EMPTY_CELL]<0,001
Family history of breast First degree11,556[EMPTY_CELL]0,002
Second degree0,841[EMPTY_CELL]0,726
Exposure to irradiation0,953[EMPTY_CELL]0,944
\", \"cells\": [{\"cell\": \"Variables\", \"bbox\": [1, 3, 40, 13]}, {\"cell\": \"ORa\", \"bbox\": [157, 2, 174, 13]}, {\"cell\": \"95% CI\", \"bbox\": [235, 3, 269, 13]}, {\"cell\": \"P -value\", \"bbox\": [327, 3, 362, 13]}, {\"cell\": \"Body mass index\", \"bbox\": [1, 18, 70, 28]}, {\"cell\": \"0,994\", \"bbox\": [157, 18, 179, 28]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 18, 278, 28]}, {\"cell\": \"0,849\", \"bbox\": [327, 18, 349, 28]}, {\"cell\": \"Physical activity\", \"bbox\": [1, 33, 68, 42]}, {\"cell\": \"0,507\", \"bbox\": [157, 33, 179, 42]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 33, 280, 42]}, {\"cell\": \"0,001\", \"bbox\": [327, 33, 349, 42]}, {\"cell\": \"Early age at menarche (<12 years)\", \"bbox\": [1, 48, 143, 57]}, {\"cell\": \"2,474\", \"bbox\": [157, 48, 179, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 48, 282, 57]}, {\"cell\": \"0,03\", \"bbox\": [327, 48, 345, 57]}, {\"cell\": \"Oral contraceptive (>6 months)\", \"bbox\": [1, 63, 130, 73]}, {\"cell\": \"1,716\", \"bbox\": [157, 63, 179, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 63, 280, 73]}, {\"cell\": \"0,005\", \"bbox\": [327, 63, 349, 73]}, {\"cell\": \"Early childbearing (<30 years)\", \"bbox\": [1, 79, 125, 89]}, {\"cell\": \"0,212\", \"bbox\": [157, 79, 179, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 79, 280, 89]}, {\"cell\": \"0,001\", \"bbox\": [327, 79, 349, 89]}, {\"cell\": \"Multiparity\", \"bbox\": [1, 94, 47, 104]}, {\"cell\": \"0,742\", \"bbox\": [157, 94, 179, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 94, 280, 104]}, {\"cell\": \"<0,001\", \"bbox\": [327, 94, 355, 104]}, {\"cell\": \"Lactation (>6 months)\", \"bbox\": [1, 109, 94, 119]}, {\"cell\": \"0,737\", \"bbox\": [157, 109, 179, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 109, 280, 119]}, {\"cell\": \"<0,001\", \"bbox\": [327, 109, 355, 119]}, {\"cell\": \"Family history of breast First degree\", \"bbox\": [1, 124, 98, 148]}, {\"cell\": \"11,556\", \"bbox\": [157, 124, 184, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 124, 284, 134]}, {\"cell\": \"0,002\", \"bbox\": [327, 124, 349, 134]}, {\"cell\": \"Second degree\", \"bbox\": [1, 154, 62, 163]}, {\"cell\": \"0,841\", \"bbox\": [157, 154, 179, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 154, 280, 163]}, {\"cell\": \"0,726\", \"bbox\": [327, 154, 349, 163]}, {\"cell\": \"Exposure to irradiation\", \"bbox\": [1, 169, 95, 178]}, {\"cell\": \"0,953\", \"bbox\": [157, 169, 179, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 169, 280, 178]}, {\"cell\": \"0,944\", \"bbox\": [327, 169, 349, 178]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4992386_009_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
ClassificationLabelVoxels at p < 0.001pFWE cluster-correctedPeak z-scorePeak voxel MNI coordinatesLaterality
Across-domainInsula/IFG592[EMPTY_CELL]4.31−33, 23, 5L
SFG and BA9928<0.001[EMPTY_CELL]24, 53, 38R
dACC/pre-SMA[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]−12, 14, 41L
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]12, 44, 23R
Supramarginal gyrus, BA402070.039[EMPTY_CELL]−51, −55, 29L
IFG/insula/STG2750.016[EMPTY_CELL]48, 5, −13R
Within-perceptionSuperior, middle, medial, inferior FG, dACC, pre-SMA, BA8, BA10, BA324699[EMPTY_CELL]5.10−12, 14, 59L/R
Parietal cortex, precuneus, supramarginal gyrus, BA7, BA401141<0.001[EMPTY_CELL]51, −46, 44R
Precuneus, BA403390.010[EMPTY_CELL]−36, −46, 47L
Within-memoryMiddle and superior FG, BA9, BA10325[EMPTY_CELL]4.5439, 41, 38R
Lingual gyrus, cuneus, calcarine5100.001[EMPTY_CELL]9, −91, 2R
Superior FG, dACC, pre-SMA1066<0.001[EMPTY_CELL]6, −4, 62L/R
Middle, inferior FG, BA9, BA10, BA45, BA461003<0.001[EMPTY_CELL]−42, 38, 2L
\", \"cells\": [{\"cell\": \"Classification\", \"bbox\": [1, 12, 36, 22]}, {\"cell\": \"Label\", \"bbox\": [67, 12, 83, 22]}, {\"cell\": \"Voxels at p < 0.001\", \"bbox\": [269, 3, 299, 22]}, {\"cell\": \"pFWE cluster-corrected\", \"bbox\": [316, 5, 362, 22]}, {\"cell\": \"Peak z-score\", \"bbox\": [378, 3, 399, 22]}, {\"cell\": \"Peak voxel MNI coordinates\", \"bbox\": [416, 3, 460, 22]}, {\"cell\": \"Laterality\", \"bbox\": [477, 12, 504, 22]}, {\"cell\": \"Across-domain\", \"bbox\": [1, 28, 41, 38]}, {\"cell\": \"Insula/IFG\", \"bbox\": [67, 28, 96, 38]}, {\"cell\": \"592\", \"bbox\": [272, 28, 284, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [323, 28, 340, 38]}, {\"cell\": \"4.31\", \"bbox\": [379, 28, 392, 38]}, {\"cell\": \"−33, 23, 5\", \"bbox\": [416, 28, 448, 38]}, {\"cell\": \"L\", \"bbox\": [477, 28, 482, 38]}, {\"cell\": \"SFG and BA9\", \"bbox\": [67, 38, 102, 48]}, {\"cell\": \"928\", \"bbox\": [272, 38, 284, 48]}, {\"cell\": \"<0.001\", \"bbox\": [316, 38, 340, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 38, 392, 48]}, {\"cell\": \"24, 53, 38\", \"bbox\": [423, 38, 451, 48]}, {\"cell\": \"R\", \"bbox\": [477, 38, 482, 48]}, {\"cell\": \"dACC/pre-SMA\", \"bbox\": [67, 48, 108, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 48, 392, 58]}, {\"cell\": \"−12, 14, 41\", \"bbox\": [416, 48, 451, 58]}, {\"cell\": \"L\", \"bbox\": [477, 48, 482, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 58, 392, 68]}, {\"cell\": \"12, 44, 23\", \"bbox\": [423, 58, 451, 68]}, {\"cell\": \"R\", \"bbox\": [477, 58, 482, 68]}, {\"cell\": \"Supramarginal gyrus, BA40\", \"bbox\": [67, 68, 140, 78]}, {\"cell\": \"207\", \"bbox\": [272, 68, 284, 78]}, {\"cell\": \"0.039\", \"bbox\": [323, 68, 340, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 68, 392, 78]}, {\"cell\": \"−51, −55, 29\", \"bbox\": [416, 68, 458, 78]}, {\"cell\": \"L\", \"bbox\": [477, 68, 482, 78]}, {\"cell\": \"IFG/insula/STG\", \"bbox\": [67, 78, 108, 88]}, {\"cell\": \"275\", \"bbox\": [272, 78, 284, 88]}, {\"cell\": \"0.016\", \"bbox\": [323, 78, 340, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 78, 392, 88]}, {\"cell\": \"48, 5, −13\", \"bbox\": [423, 78, 455, 88]}, {\"cell\": \"R\", \"bbox\": [477, 78, 482, 88]}, {\"cell\": \"Within-perception\", \"bbox\": [1, 88, 51, 98]}, {\"cell\": \"Superior, middle, medial, inferior FG, dACC, pre-SMA, BA8, BA10, BA32\", \"bbox\": [67, 88, 253, 98]}, {\"cell\": \"4699\", \"bbox\": [269, 88, 284, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [316, 88, 340, 98]}, {\"cell\": \"5.10\", \"bbox\": [379, 88, 392, 98]}, {\"cell\": \"−12, 14, 59\", \"bbox\": [416, 88, 451, 98]}, {\"cell\": \"L/R\", \"bbox\": [477, 88, 488, 98]}, {\"cell\": \"Parietal cortex, precuneus, supramarginal gyrus, BA7, BA40\", \"bbox\": [67, 98, 223, 108]}, {\"cell\": \"1141\", \"bbox\": [269, 98, 284, 108]}, {\"cell\": \"<0.001\", \"bbox\": [316, 98, 340, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 98, 392, 108]}, {\"cell\": \"51, −46, 44\", \"bbox\": [423, 98, 458, 108]}, {\"cell\": \"R\", \"bbox\": [477, 98, 482, 108]}, {\"cell\": \"Precuneus, BA40\", \"bbox\": [67, 108, 113, 118]}, {\"cell\": \"339\", \"bbox\": [272, 108, 284, 118]}, {\"cell\": \"0.010\", \"bbox\": [323, 108, 340, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 108, 392, 118]}, {\"cell\": \"−36, −46, 47\", \"bbox\": [416, 108, 458, 118]}, {\"cell\": \"L\", \"bbox\": [477, 108, 482, 118]}, {\"cell\": \"Within-memory\", \"bbox\": [1, 118, 45, 128]}, {\"cell\": \"Middle and superior FG, BA9, BA10\", \"bbox\": [67, 118, 160, 128]}, {\"cell\": \"325\", \"bbox\": [272, 118, 284, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [323, 118, 340, 128]}, {\"cell\": \"4.54\", \"bbox\": [379, 118, 392, 128]}, {\"cell\": \"39, 41, 38\", \"bbox\": [423, 118, 451, 128]}, {\"cell\": \"R\", \"bbox\": [477, 118, 482, 128]}, {\"cell\": \"Lingual gyrus, cuneus, calcarine\", \"bbox\": [67, 128, 152, 138]}, {\"cell\": \"510\", \"bbox\": [272, 128, 284, 138]}, {\"cell\": \"0.001\", \"bbox\": [323, 128, 340, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 128, 392, 138]}, {\"cell\": \"9, −91, 2\", \"bbox\": [426, 128, 455, 138]}, {\"cell\": \"R\", \"bbox\": [477, 128, 482, 138]}, {\"cell\": \"Superior FG, dACC, pre-SMA\", \"bbox\": [67, 138, 142, 148]}, {\"cell\": \"1066\", \"bbox\": [269, 138, 284, 148]}, {\"cell\": \"<0.001\", \"bbox\": [316, 138, 340, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 138, 392, 148]}, {\"cell\": \"6, −4, 62\", \"bbox\": [426, 138, 455, 148]}, {\"cell\": \"L/R\", \"bbox\": [477, 138, 488, 148]}, {\"cell\": \"Middle, inferior FG, BA9, BA10, BA45, BA46\", \"bbox\": [67, 148, 181, 158]}, {\"cell\": \"1003\", \"bbox\": [269, 148, 284, 158]}, {\"cell\": \"<0.001\", \"bbox\": [316, 148, 340, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 148, 392, 158]}, {\"cell\": \"−42, 38, 2\", \"bbox\": [416, 148, 448, 158]}, {\"cell\": \"L\", \"bbox\": [477, 148, 482, 158]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5895040_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Characteristics of schizophrenia patientsMean or frequency (SD or %)Range95% Confidence intervals (%)
Male gender[EMPTY_CELL]-57.4 to 81.5
Male age (years)[EMPTY_CELL]22 to 5839.7 to 44.2
Female gender[EMPTY_CELL]-18.5 to 42.6
Female age (years)[EMPTY_CELL]28 to 5537.5 to 45.5
PANSS[EMPTY_CELL]31 to 6847.3 to 51.5
Positive symptoms[EMPTY_CELL]2 to 207.0 to 9.0
Negative symptoms[EMPTY_CELL]1 to 278.2 to 12.0
General psychopathology[EMPTY_CELL]6 to 5727.7 to 34.3
HDRS[EMPTY_CELL]4 to 2411.1 to 13.9
GAF[EMPTY_CELL]45 to 9875.2 to 81.5
QOL[EMPTY_CELL]46 to 9873.2 to 79.1
Status of employment (>3)[EMPTY_CELL][EMPTY_CELL]27.6 to 53.5
Independent living (>3)[EMPTY_CELL][EMPTY_CELL]59.7 to 83.6
BG[EMPTY_CELL]78 to 12895.1 to 101.7
WMS[EMPTY_CELL]68 to 11787.1 to 93.4
\", \"cells\": [{\"cell\": \"Characteristics of schizophrenia patients\", \"bbox\": [4, 5, 163, 14]}, {\"cell\": \"Mean or frequency (SD or %)\", \"bbox\": [190, 5, 303, 14]}, {\"cell\": \"Range\", \"bbox\": [324, 5, 350, 14]}, {\"cell\": \"95% Confidence intervals (%)\", \"bbox\": [370, 5, 482, 14]}, {\"cell\": \"Male gender\", \"bbox\": [4, 27, 47, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 27, 233, 36]}, {\"cell\": \"-\", \"bbox\": [324, 27, 329, 36]}, {\"cell\": \"57.4 to 81.5\", \"bbox\": [370, 27, 412, 36]}, {\"cell\": \"Male age (years)\", \"bbox\": [4, 37, 61, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 37, 224, 47]}, {\"cell\": \"22 to 58\", \"bbox\": [324, 37, 355, 47]}, {\"cell\": \"39.7 to 44.2\", \"bbox\": [370, 37, 412, 47]}, {\"cell\": \"Female gender\", \"bbox\": [4, 47, 55, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 47, 233, 57]}, {\"cell\": \"-\", \"bbox\": [324, 47, 329, 57]}, {\"cell\": \"18.5 to 42.6\", \"bbox\": [370, 47, 412, 57]}, {\"cell\": \"Female age (years)\", \"bbox\": [4, 57, 68, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 57, 224, 67]}, {\"cell\": \"28 to 55\", \"bbox\": [324, 57, 355, 67]}, {\"cell\": \"37.5 to 45.5\", \"bbox\": [370, 57, 412, 67]}, {\"cell\": \"PANSS\", \"bbox\": [4, 68, 30, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 68, 224, 77]}, {\"cell\": \"31 to 68\", \"bbox\": [324, 68, 355, 77]}, {\"cell\": \"47.3 to 51.5\", \"bbox\": [370, 68, 412, 77]}, {\"cell\": \"Positive symptoms\", \"bbox\": [4, 78, 69, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 78, 219, 88]}, {\"cell\": \"2 to 20\", \"bbox\": [324, 78, 350, 88]}, {\"cell\": \"7.0 to 9.0\", \"bbox\": [370, 78, 404, 88]}, {\"cell\": \"Negative symptoms\", \"bbox\": [4, 88, 72, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 88, 224, 98]}, {\"cell\": \"1 to 27\", \"bbox\": [324, 88, 350, 98]}, {\"cell\": \"8.2 to 12.0\", \"bbox\": [370, 88, 408, 98]}, {\"cell\": \"General psychopathology\", \"bbox\": [4, 98, 91, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 98, 228, 108]}, {\"cell\": \"6 to 57\", \"bbox\": [324, 98, 350, 108]}, {\"cell\": \"27.7 to 34.3\", \"bbox\": [370, 98, 412, 108]}, {\"cell\": \"HDRS\", \"bbox\": [4, 109, 27, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 109, 224, 118]}, {\"cell\": \"4 to 24\", \"bbox\": [324, 109, 350, 118]}, {\"cell\": \"11.1 to 13.9\", \"bbox\": [370, 109, 412, 118]}, {\"cell\": \"GAF\", \"bbox\": [4, 119, 22, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 119, 228, 129]}, {\"cell\": \"45 to 98\", \"bbox\": [324, 119, 354, 129]}, {\"cell\": \"75.2 to 81.5\", \"bbox\": [370, 119, 412, 129]}, {\"cell\": \"QOL\", \"bbox\": [4, 129, 24, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 129, 228, 139]}, {\"cell\": \"46 to 98\", \"bbox\": [324, 129, 354, 139]}, {\"cell\": \"73.2 to 79.1\", \"bbox\": [370, 129, 412, 139]}, {\"cell\": \"Status of employment (>3)\", \"bbox\": [4, 139, 96, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 139, 233, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"27.6 to 53.5\", \"bbox\": [370, 139, 412, 149]}, {\"cell\": \"Independent living (>3)\", \"bbox\": [4, 150, 84, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 150, 233, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"59.7 to 83.6\", \"bbox\": [370, 150, 412, 159]}, {\"cell\": \"BG\", \"bbox\": [4, 160, 17, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 160, 228, 170]}, {\"cell\": \"78 to 128\", \"bbox\": [324, 160, 359, 170]}, {\"cell\": \"95.1 to 101.7\", \"bbox\": [370, 160, 416, 170]}, {\"cell\": \"WMS\", \"bbox\": [4, 170, 25, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 170, 228, 180]}, {\"cell\": \"68 to 117\", \"bbox\": [324, 170, 359, 180]}, {\"cell\": \"87.1 to 93.4\", \"bbox\": [370, 170, 412, 180]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2770563_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]nEventsModel 1aModel 2bModel 3cp for trend
HR (95% CI)p valueHR (95% CI)p valueHR (95% CI)p value
Time to first recurrence
Total fruit + vegetables
T1138541.00 (1.00–1.00)[EMPTY_CELL]1.00 (1.00–1.00)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.06
T2136551.00 (0.69–1.46)1.000.99 (0.68–1.44)0.94[EMPTY_CELL]0.72[EMPTY_CELL]
T3115350.68 (0.45–1.04)0.080.70 (0.46–1.07)0.10[EMPTY_CELL]0.06[EMPTY_CELL]
Total vegetables
T1133511.00 (1.00–1.00)[EMPTY_CELL]1.00 (1.00–1.00)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.23
T2144540.93 (0.64–1.36)0.720.94 (0.64–1.38)0.75[EMPTY_CELL]0.40[EMPTY_CELL]
T3112390.83 (0.55–1.25)0.370.86 (0.56–1.31)0.48[EMPTY_CELL]0.23[EMPTY_CELL]
Total fruit
T1151621.00 (1.00–1.00)[EMPTY_CELL]1.00 (1.00–1.00)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.05
T2103410.93 (0.63–1.39)0.740.93 (0.62–1.38)0.70[EMPTY_CELL]0.83[EMPTY_CELL]
T3135410.67 (0.45–0.99)0.040.67 (0.45–0.99)0.04[EMPTY_CELL]0.05[EMPTY_CELL]
Time to multiple recurrences
Total fruit + vegetables
T1138891.00 (1.00–1.00)[EMPTY_CELL]1.00 (1.00–1.00)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.96
T2136820.94 (0.82–1.08)0.410.96 (0.84–1.10)0.57[EMPTY_CELL]0.79[EMPTY_CELL]
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Total fruit
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Phenotypes/Not4 derivatives1–5871–4301–18078–587164AL35A
[EMPTY_CELL]2.53.54.653.1nd
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Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
YearTotal no. of blood films examinedTotal no. of malaria cases (%)P. falciparum cases (%)P. vivax cases (%)Mixed (%)
1997380180 (47.4)124 (32.6)48 (12.6)[EMPTY_CELL]
1998695326 (46.9)267 (38.4)55 (7.9)[EMPTY_CELL]
1999626299 (47.8)231 (36.9)62 (9.9)[EMPTY_CELL]
2000230105 (45.6)77 (33.3)28 (12.1)[EMPTY_CELL]
2001811418 (51.5)319 (39.3)93 (11.5)[EMPTY_CELL]
20021495665 (44.5)520 (34.8)135 (9.0)[EMPTY_CELL]
20031272563 (44.3)432 (34)117 (9.2)[EMPTY_CELL]
2004618260 (42)184 (29.8)70 (11.3)[EMPTY_CELL]
20052592980 (37.8)728 (28.1)251 (9.7)[EMPTY_CELL]
20061665636 (38.2)463 (27.8)160 (9.6)[EMPTY_CELL]
2007914314 (34.4)211 (23.1)101 (11.1)[EMPTY_CELL]
2008979319 (32.6)234 (23.9)85 (8.7)[EMPTY_CELL]
200936998 (26.6)51 (13.8)47 (12.7)[EMPTY_CELL]
2010743222 (29.9)122 (16.4)96 (12.9)[EMPTY_CELL]
20111458424 (29.1)286 (19.6)136 (9.3)[EMPTY_CELL]
20122155640 (29.7)356 (16.5)254 (11.8)[EMPTY_CELL]
20133481943 (27.1)484 (13.9)390 (11.2)[EMPTY_CELL]
Total20,4837392 (36.1%)5089 (24.8)2128 (10.4)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Year\", \"bbox\": [1, 4, 17, 13]}, {\"cell\": \"Total no. of blood films examined\", \"bbox\": [60, 4, 141, 22]}, {\"cell\": \"Total no. of malaria cases (%)\", \"bbox\": [168, 4, 269, 13]}, {\"cell\": \"P. falciparum cases (%)\", \"bbox\": [281, 4, 359, 14]}, {\"cell\": \"P. vivax cases (%)\", \"bbox\": [371, 4, 431, 14]}, {\"cell\": \"Mixed (%)\", \"bbox\": [447, 4, 483, 13]}, {\"cell\": \"1997\", \"bbox\": [1, 31, 18, 40]}, {\"cell\": \"380\", \"bbox\": [68, 31, 82, 40]}, {\"cell\": \"180 (47.4)\", \"bbox\": [172, 31, 205, 40]}, {\"cell\": \"124 (32.6)\", \"bbox\": [285, 31, 318, 40]}, {\"cell\": \"48 (12.6)\", \"bbox\": [380, 31, 408, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 31, 476, 40]}, {\"cell\": \"1998\", \"bbox\": [1, 43, 18, 52]}, {\"cell\": \"695\", \"bbox\": [68, 43, 82, 52]}, {\"cell\": \"326 (46.9)\", \"bbox\": [172, 43, 205, 52]}, {\"cell\": \"267 (38.4)\", \"bbox\": [285, 43, 318, 52]}, {\"cell\": \"55 (7.9)\", \"bbox\": [380, 43, 405, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 43, 476, 52]}, {\"cell\": \"1999\", \"bbox\": [1, 56, 18, 64]}, {\"cell\": \"626\", \"bbox\": [68, 56, 82, 64]}, {\"cell\": \"299 (47.8)\", \"bbox\": [172, 56, 205, 64]}, {\"cell\": \"231 (36.9)\", \"bbox\": [285, 56, 318, 64]}, {\"cell\": \"62 (9.9)\", \"bbox\": [380, 56, 405, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 56, 471, 64]}, {\"cell\": \"2000\", \"bbox\": [1, 68, 18, 76]}, {\"cell\": \"230\", \"bbox\": [68, 68, 82, 76]}, {\"cell\": \"105 (45.6)\", \"bbox\": [172, 68, 205, 76]}, {\"cell\": \"77 (33.3)\", \"bbox\": [289, 68, 318, 76]}, {\"cell\": \"28 (12.1)\", \"bbox\": [380, 68, 408, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 68, 476, 76]}, {\"cell\": \"2001\", \"bbox\": [1, 80, 18, 88]}, {\"cell\": \"811\", \"bbox\": [68, 80, 82, 88]}, {\"cell\": \"418 (51.5)\", \"bbox\": [172, 80, 205, 88]}, {\"cell\": \"319 (39.3)\", \"bbox\": [285, 80, 318, 88]}, {\"cell\": \"93 (11.5)\", \"bbox\": [380, 80, 408, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 80, 476, 88]}, {\"cell\": \"2002\", \"bbox\": [1, 92, 18, 101]}, {\"cell\": \"1495\", \"bbox\": [64, 92, 82, 101]}, {\"cell\": \"665 (44.5)\", \"bbox\": [172, 92, 205, 101]}, {\"cell\": \"520 (34.8)\", \"bbox\": [285, 92, 318, 101]}, {\"cell\": \"135 (9.0)\", \"bbox\": [376, 92, 405, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [451, 92, 476, 101]}, {\"cell\": \"2003\", \"bbox\": [1, 104, 18, 113]}, {\"cell\": \"1272\", \"bbox\": [64, 104, 82, 113]}, {\"cell\": \"563 (44.3)\", \"bbox\": [172, 104, 205, 113]}, {\"cell\": \"432 (34)\", \"bbox\": [285, 104, 312, 113]}, {\"cell\": \"117 (9.2)\", \"bbox\": [376, 104, 405, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [451, 104, 471, 113]}, {\"cell\": \"2004\", \"bbox\": [1, 116, 18, 125]}, {\"cell\": \"618\", \"bbox\": [68, 116, 82, 125]}, {\"cell\": \"260 (42)\", \"bbox\": [172, 116, 199, 125]}, {\"cell\": \"184 (29.8)\", \"bbox\": [285, 116, 318, 125]}, {\"cell\": \"70 (11.3)\", \"bbox\": [380, 116, 408, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 116, 476, 125]}, {\"cell\": \"2005\", \"bbox\": [1, 128, 18, 137]}, {\"cell\": \"2592\", \"bbox\": [64, 128, 82, 137]}, {\"cell\": \"980 (37.8)\", \"bbox\": [172, 128, 205, 137]}, {\"cell\": \"728 (28.1)\", \"bbox\": [285, 128, 318, 137]}, {\"cell\": \"251 (9.7)\", \"bbox\": [376, 128, 405, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 128, 471, 137]}, {\"cell\": \"2006\", \"bbox\": [1, 140, 18, 149]}, {\"cell\": \"1665\", \"bbox\": [64, 140, 82, 149]}, {\"cell\": \"636 (38.2)\", \"bbox\": [172, 140, 205, 149]}, {\"cell\": \"463 (27.8)\", \"bbox\": [285, 140, 318, 149]}, {\"cell\": \"160 (9.6)\", \"bbox\": [376, 140, 405, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [451, 140, 476, 149]}, {\"cell\": \"2007\", \"bbox\": [1, 152, 18, 161]}, {\"cell\": \"914\", \"bbox\": [68, 152, 82, 161]}, {\"cell\": \"314 (34.4)\", \"bbox\": [172, 152, 205, 161]}, {\"cell\": \"211 (23.1)\", \"bbox\": [285, 152, 318, 161]}, {\"cell\": \"101 (11.1)\", \"bbox\": [376, 152, 408, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 152, 476, 161]}, {\"cell\": \"2008\", \"bbox\": [1, 164, 18, 173]}, {\"cell\": \"979\", \"bbox\": [68, 164, 82, 173]}, {\"cell\": \"319 (32.6)\", \"bbox\": [172, 164, 205, 173]}, {\"cell\": \"234 (23.9)\", \"bbox\": [285, 164, 318, 173]}, {\"cell\": \"85 (8.7)\", \"bbox\": [380, 164, 405, 173]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 164, 471, 173]}, {\"cell\": \"2009\", \"bbox\": [1, 177, 18, 185]}, {\"cell\": \"369\", \"bbox\": [68, 177, 82, 185]}, {\"cell\": \"98 (26.6)\", \"bbox\": [176, 177, 205, 185]}, {\"cell\": \"51 (13.8)\", \"bbox\": [289, 177, 318, 185]}, {\"cell\": \"47 (12.7)\", \"bbox\": [380, 177, 409, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 177, 471, 185]}, {\"cell\": \"2010\", \"bbox\": [1, 189, 18, 197]}, {\"cell\": \"743\", \"bbox\": [68, 189, 82, 197]}, {\"cell\": \"222 (29.9)\", \"bbox\": [172, 189, 205, 197]}, {\"cell\": \"122 (16.4)\", \"bbox\": [285, 189, 318, 197]}, {\"cell\": \"96 (12.9)\", \"bbox\": [380, 189, 409, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 189, 476, 197]}, {\"cell\": \"2011\", \"bbox\": [1, 201, 18, 209]}, {\"cell\": \"1458\", \"bbox\": [64, 201, 82, 209]}, {\"cell\": \"424 (29.1)\", \"bbox\": [172, 201, 205, 209]}, {\"cell\": \"286 (19.6)\", \"bbox\": [285, 201, 318, 209]}, {\"cell\": \"136 (9.3)\", \"bbox\": [376, 201, 405, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 201, 476, 209]}, {\"cell\": \"2012\", \"bbox\": [1, 213, 18, 222]}, {\"cell\": \"2155\", \"bbox\": [64, 213, 82, 222]}, {\"cell\": \"640 (29.7)\", \"bbox\": [172, 213, 205, 222]}, {\"cell\": \"356 (16.5)\", \"bbox\": [285, 213, 318, 222]}, {\"cell\": \"254 (11.8)\", \"bbox\": [376, 213, 409, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [451, 213, 476, 222]}, {\"cell\": \"2013\", \"bbox\": [1, 225, 18, 234]}, {\"cell\": \"3481\", \"bbox\": [65, 225, 82, 234]}, {\"cell\": \"943 (27.1)\", \"bbox\": [172, 225, 205, 234]}, {\"cell\": \"484 (13.9)\", \"bbox\": [285, 225, 318, 234]}, {\"cell\": \"390 (11.2)\", \"bbox\": [376, 225, 409, 234]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [451, 225, 471, 234]}, {\"cell\": \"Total\", \"bbox\": [1, 237, 18, 246]}, {\"cell\": \"20,483\", \"bbox\": [60, 237, 83, 246]}, {\"cell\": \"7392 (36.1%)\", \"bbox\": [168, 237, 211, 246]}, {\"cell\": \"5089 (24.8)\", \"bbox\": [281, 237, 318, 246]}, {\"cell\": \"2128 (10.4)\", \"bbox\": [372, 237, 409, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [447, 237, 476, 246]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5889533_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
StudyHyper-ParasitaemiaAcidosisAKIImpaired consciousnessShockCoagulopathyARDSHypoglycaemiaJaundiceSeizuresAnaemiaHaema globinuriaBacterial Co-InfectionMortality
Badiaga[EMPTY_CELL]8%35%24%19%8%24%0%62%11%0%14%Not reported8%
Blumberg[EMPTY_CELL]36%61%39%46%14%46%11%39%11%21%0%Not reported29%
Bruneel 2003 [5][EMPTY_CELL]10%25%18%11%12%5%2%27%1%8%1%10%5%
Bruneel 2010 [6][EMPTY_CELL]18%34%26%24%3%25%3%52%7%4%6%8%11%
Gachot[EMPTY_CELL]Not reported55%38%25%35%30%10%Not reportedNot reported8%Not reported13%13%
Gonzalez[EMPTY_CELL]30%35%20%25%55%10%15%90%10%0%5%0%25%
Khoo[EMPTY_CELL]35%45%0%30%30%5%0%75%15%20%Not reportedNot reported15%
Marks[EMPTY_CELL]55%44%35%27%11%19%4%69%7%4%0%5%4%
Nüesch[EMPTY_CELL]Not reported26%17%9%4%4%Not reported4%Not reported13%Not reported13%17%
Salord[EMPTY_CELL]Not reported32%47%Not reportedNot reported26%Not reported42%16%Not reportedNot reportedNot reported0%
Santos[EMPTY_CELL]39%53%19%49%22%37%31%46%Not reported0%Not reported3%15%
Schwake[EMPTY_CELL]31%38%23%38%31%15%23%Not reported0%0%Not reportedNot reported0%
Thierfelder[EMPTY_CELL]Not reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reportedNot reported0%
\", \"cells\": [{\"cell\": \"Study\", \"bbox\": [1, 4, 22, 13]}, {\"cell\": \"Hyper-Parasitaemia\", \"bbox\": [47, 4, 91, 22]}, {\"cell\": \"Acidosis\", \"bbox\": [97, 4, 127, 13]}, {\"cell\": \"AKI\", \"bbox\": [144, 4, 157, 13]}, {\"cell\": \"Impaired consciousness\", \"bbox\": [172, 4, 221, 22]}, {\"cell\": \"Shock\", \"bbox\": [230, 4, 253, 13]}, {\"cell\": \"Coagulopathy\", \"bbox\": [263, 4, 311, 13]}, {\"cell\": \"ARDS\", \"bbox\": [322, 4, 343, 13]}, {\"cell\": \"Hypoglycaemia\", \"bbox\": [354, 4, 407, 13]}, {\"cell\": \"Jaundice\", \"bbox\": [412, 4, 444, 13]}, {\"cell\": \"Seizures\", \"bbox\": [451, 4, 482, 13]}, {\"cell\": \"Anaemia\", \"bbox\": [489, 4, 521, 13]}, {\"cell\": \"Haema globinuria\", \"bbox\": [526, 4, 564, 22]}, {\"cell\": \"Bacterial Co-Infection\", \"bbox\": [567, 4, 609, 22]}, {\"cell\": \"Mortality\", \"bbox\": [613, 4, 645, 13]}, {\"cell\": \"Badiaga\", \"bbox\": [1, 26, 28, 35]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [61, 26, 77, 35]}, {\"cell\": \"8%\", \"bbox\": [106, 26, 118, 35]}, {\"cell\": \"35%\", \"bbox\": [143, 26, 158, 35]}, {\"cell\": \"24%\", \"bbox\": [188, 26, 204, 35]}, {\"cell\": \"19%\", \"bbox\": [234, 26, 249, 35]}, {\"cell\": \"8%\", \"bbox\": [281, 26, 293, 35]}, {\"cell\": \"24%\", \"bbox\": [325, 26, 340, 35]}, {\"cell\": \"0%\", \"bbox\": [374, 26, 386, 35]}, {\"cell\": \"62%\", \"bbox\": [420, 26, 436, 35]}, {\"cell\": \"11%\", \"bbox\": [459, 26, 474, 35]}, {\"cell\": \"0%\", \"bbox\": [499, 26, 511, 35]}, {\"cell\": \"14%\", \"bbox\": [537, 26, 553, 35]}, {\"cell\": \"Not reported\", \"bbox\": [574, 26, 603, 44]}, {\"cell\": \"8%\", \"bbox\": [624, 26, 635, 35]}, {\"cell\": \"Blumberg\", \"bbox\": [1, 49, 34, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [61, 49, 77, 58]}, {\"cell\": \"36%\", \"bbox\": [104, 49, 120, 58]}, {\"cell\": \"61%\", \"bbox\": [143, 49, 158, 58]}, {\"cell\": \"39%\", \"bbox\": [188, 49, 204, 58]}, {\"cell\": \"46%\", \"bbox\": [234, 49, 249, 58]}, {\"cell\": \"14%\", \"bbox\": [279, 49, 295, 58]}, {\"cell\": \"46%\", \"bbox\": [325, 49, 340, 58]}, {\"cell\": \"11%\", \"bbox\": [373, 49, 388, 58]}, {\"cell\": \"39%\", \"bbox\": [420, 49, 436, 58]}, {\"cell\": \"11%\", \"bbox\": [459, 49, 474, 58]}, {\"cell\": \"21%\", \"bbox\": [497, 49, 513, 58]}, {\"cell\": \"0%\", \"bbox\": [539, 49, 551, 58]}, {\"cell\": \"Not reported\", \"bbox\": [574, 49, 603, 67]}, {\"cell\": \"29%\", \"bbox\": [622, 49, 637, 58]}, {\"cell\": \"Bruneel 2003 [5]\", \"bbox\": [1, 72, 28, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [61, 72, 77, 82]}, {\"cell\": \"10%\", \"bbox\": [104, 72, 120, 82]}, {\"cell\": \"25%\", \"bbox\": [143, 72, 158, 82]}, {\"cell\": \"18%\", \"bbox\": [188, 72, 204, 82]}, {\"cell\": \"11%\", \"bbox\": [234, 72, 249, 82]}, {\"cell\": \"12%\", \"bbox\": [279, 72, 295, 82]}, {\"cell\": \"5%\", \"bbox\": [327, 72, 338, 82]}, {\"cell\": \"2%\", \"bbox\": [374, 72, 386, 82]}, {\"cell\": \"27%\", \"bbox\": [420, 72, 436, 82]}, {\"cell\": \"1%\", \"bbox\": [461, 72, 472, 82]}, {\"cell\": \"8%\", \"bbox\": [499, 72, 511, 82]}, {\"cell\": \"1%\", \"bbox\": [539, 72, 551, 82]}, {\"cell\": \"10%\", \"bbox\": [581, 72, 596, 82]}, {\"cell\": \"5%\", \"bbox\": [624, 72, 635, 82]}, {\"cell\": \"Bruneel 2010 [6]\", \"bbox\": [1, 95, 28, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [61, 95, 77, 105]}, {\"cell\": \"18%\", \"bbox\": [104, 95, 120, 105]}, {\"cell\": \"34%\", \"bbox\": [143, 95, 158, 105]}, {\"cell\": \"26%\", \"bbox\": [188, 95, 204, 105]}, {\"cell\": \"24%\", \"bbox\": [234, 95, 249, 105]}, {\"cell\": \"3%\", \"bbox\": [281, 95, 293, 105]}, {\"cell\": \"25%\", \"bbox\": [325, 95, 340, 105]}, {\"cell\": \"3%\", \"bbox\": [374, 95, 386, 105]}, {\"cell\": \"52%\", \"bbox\": [420, 95, 436, 105]}, {\"cell\": \"7%\", \"bbox\": [461, 95, 472, 105]}, {\"cell\": \"4%\", \"bbox\": [499, 95, 511, 105]}, {\"cell\": \"6%\", \"bbox\": [539, 95, 551, 105]}, {\"cell\": \"8%\", \"bbox\": [583, 95, 594, 105]}, {\"cell\": \"11%\", \"bbox\": [622, 95, 637, 105]}, {\"cell\": \"Gachot\", \"bbox\": [1, 118, 25, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [54, 118, 84, 136]}, {\"cell\": \"Not reported\", \"bbox\": [97, 118, 127, 136]}, {\"cell\": \"55%\", \"bbox\": [143, 118, 158, 127]}, {\"cell\": \"38%\", \"bbox\": [188, 118, 204, 127]}, {\"cell\": \"25%\", \"bbox\": [234, 118, 249, 127]}, {\"cell\": \"35%\", \"bbox\": [279, 118, 295, 127]}, {\"cell\": \"30%\", \"bbox\": [325, 118, 340, 127]}, {\"cell\": \"10%\", \"bbox\": [373, 118, 388, 127]}, {\"cell\": \"Not reported\", \"bbox\": [413, 118, 443, 136]}, {\"cell\": \"Not reported\", \"bbox\": [452, 118, 481, 136]}, {\"cell\": \"8%\", \"bbox\": [499, 118, 511, 127]}, {\"cell\": \"Not reported\", \"bbox\": [530, 118, 560, 136]}, {\"cell\": \"13%\", \"bbox\": [581, 118, 596, 127]}, {\"cell\": \"13%\", \"bbox\": [622, 118, 637, 127]}, {\"cell\": \"Gonzalez\", \"bbox\": [1, 141, 31, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [61, 141, 77, 150]}, {\"cell\": \"30%\", \"bbox\": [104, 141, 120, 150]}, {\"cell\": \"35%\", \"bbox\": [143, 141, 158, 150]}, {\"cell\": \"20%\", \"bbox\": [188, 141, 204, 150]}, {\"cell\": \"25%\", \"bbox\": [234, 141, 249, 150]}, {\"cell\": \"55%\", \"bbox\": [279, 141, 295, 150]}, {\"cell\": \"10%\", \"bbox\": [325, 141, 340, 150]}, {\"cell\": \"15%\", \"bbox\": [373, 141, 388, 150]}, {\"cell\": \"90%\", \"bbox\": [420, 141, 436, 150]}, {\"cell\": \"10%\", \"bbox\": [459, 141, 474, 150]}, {\"cell\": \"0%\", \"bbox\": [499, 141, 511, 150]}, {\"cell\": \"5%\", \"bbox\": [539, 141, 551, 150]}, {\"cell\": \"0%\", \"bbox\": [583, 141, 594, 150]}, {\"cell\": \"25%\", \"bbox\": [622, 141, 637, 150]}, {\"cell\": \"Khoo\", \"bbox\": [1, 155, 19, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [61, 155, 77, 164]}, {\"cell\": \"35%\", \"bbox\": [104, 155, 120, 164]}, {\"cell\": \"45%\", \"bbox\": [143, 155, 158, 164]}, {\"cell\": \"0%\", \"bbox\": [190, 155, 202, 164]}, {\"cell\": \"30%\", \"bbox\": [234, 155, 249, 164]}, {\"cell\": \"30%\", \"bbox\": [279, 155, 295, 164]}, {\"cell\": \"5%\", \"bbox\": [327, 155, 338, 164]}, {\"cell\": \"0%\", \"bbox\": [374, 155, 386, 164]}, {\"cell\": \"75%\", \"bbox\": [420, 155, 436, 164]}, {\"cell\": \"15%\", \"bbox\": [459, 155, 474, 164]}, {\"cell\": \"20%\", \"bbox\": [497, 155, 513, 164]}, {\"cell\": \"Not reported\", \"bbox\": [530, 155, 560, 174]}, {\"cell\": \"Not reported\", \"bbox\": [574, 155, 603, 174]}, {\"cell\": \"15%\", \"bbox\": [622, 155, 637, 164]}, {\"cell\": \"Marks\", \"bbox\": [0, 178, 21, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [61, 178, 77, 188]}, {\"cell\": \"55%\", \"bbox\": [104, 178, 120, 188]}, {\"cell\": \"44%\", \"bbox\": [143, 178, 158, 188]}, {\"cell\": \"35%\", \"bbox\": [188, 178, 204, 188]}, {\"cell\": \"27%\", \"bbox\": [234, 178, 249, 188]}, {\"cell\": \"11%\", \"bbox\": [279, 178, 295, 188]}, {\"cell\": \"19%\", \"bbox\": [325, 178, 340, 188]}, {\"cell\": \"4%\", \"bbox\": [374, 178, 386, 188]}, {\"cell\": \"69%\", \"bbox\": [420, 178, 436, 188]}, {\"cell\": \"7%\", \"bbox\": [461, 178, 472, 188]}, {\"cell\": \"4%\", \"bbox\": [499, 178, 511, 188]}, {\"cell\": \"0%\", \"bbox\": [539, 178, 551, 188]}, {\"cell\": \"5%\", \"bbox\": [583, 178, 594, 188]}, {\"cell\": \"4%\", \"bbox\": [624, 178, 635, 188]}, {\"cell\": \"Nüesch\", \"bbox\": [0, 192, 26, 201]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [61, 192, 77, 201]}, {\"cell\": \"Not reported\", \"bbox\": [97, 192, 127, 210]}, {\"cell\": \"26%\", \"bbox\": [143, 192, 158, 201]}, {\"cell\": \"17%\", \"bbox\": [188, 192, 204, 201]}, {\"cell\": \"9%\", \"bbox\": [236, 192, 247, 201]}, {\"cell\": \"4%\", \"bbox\": [281, 192, 293, 201]}, {\"cell\": \"4%\", \"bbox\": [327, 192, 338, 201]}, {\"cell\": \"Not reported\", \"bbox\": [365, 192, 395, 210]}, {\"cell\": \"4%\", \"bbox\": [422, 192, 434, 201]}, {\"cell\": \"Not reported\", \"bbox\": [452, 192, 481, 210]}, {\"cell\": \"13%\", \"bbox\": [497, 192, 513, 201]}, {\"cell\": \"Not reported\", \"bbox\": [530, 192, 560, 210]}, {\"cell\": \"13%\", \"bbox\": [581, 192, 596, 201]}, {\"cell\": \"17%\", \"bbox\": [622, 192, 637, 201]}, {\"cell\": \"Salord\", \"bbox\": [0, 215, 22, 224]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [61, 215, 77, 224]}, {\"cell\": \"Not reported\", \"bbox\": [97, 215, 127, 233]}, {\"cell\": \"32%\", \"bbox\": [143, 215, 158, 224]}, {\"cell\": \"47%\", \"bbox\": [188, 215, 204, 224]}, {\"cell\": \"Not reported\", \"bbox\": [227, 215, 256, 233]}, {\"cell\": \"Not reported\", \"bbox\": [272, 215, 302, 233]}, {\"cell\": \"26%\", \"bbox\": [325, 215, 340, 224]}, {\"cell\": \"Not reported\", \"bbox\": [365, 215, 395, 233]}, {\"cell\": \"42%\", \"bbox\": [420, 215, 436, 224]}, {\"cell\": \"16%\", \"bbox\": [459, 215, 474, 224]}, {\"cell\": \"Not reported\", \"bbox\": [490, 215, 520, 233]}, {\"cell\": \"Not reported\", \"bbox\": [530, 215, 560, 233]}, {\"cell\": \"Not reported\", \"bbox\": [574, 215, 603, 233]}, {\"cell\": \"0%\", \"bbox\": [624, 215, 635, 224]}, {\"cell\": \"Santos\", \"bbox\": [0, 238, 24, 247]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [61, 238, 77, 247]}, {\"cell\": \"39%\", \"bbox\": [104, 238, 120, 247]}, {\"cell\": \"53%\", \"bbox\": [143, 238, 158, 247]}, {\"cell\": \"19%\", \"bbox\": [188, 238, 204, 247]}, {\"cell\": \"49%\", \"bbox\": [234, 238, 249, 247]}, {\"cell\": \"22%\", \"bbox\": [279, 238, 295, 247]}, {\"cell\": \"37%\", \"bbox\": [325, 238, 340, 247]}, {\"cell\": \"31%\", \"bbox\": [373, 238, 388, 247]}, {\"cell\": \"46%\", \"bbox\": [420, 238, 436, 247]}, {\"cell\": \"Not reported\", \"bbox\": [452, 238, 481, 257]}, {\"cell\": \"0%\", \"bbox\": [499, 238, 511, 247]}, {\"cell\": \"Not reported\", \"bbox\": [530, 238, 560, 257]}, {\"cell\": \"3%\", \"bbox\": [583, 238, 594, 247]}, {\"cell\": \"15%\", \"bbox\": [622, 238, 637, 247]}, {\"cell\": \"Schwake\", \"bbox\": [0, 261, 30, 271]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [54, 261, 84, 279]}, {\"cell\": \"31%\", \"bbox\": [104, 261, 120, 271]}, {\"cell\": \"38%\", \"bbox\": [143, 261, 158, 271]}, {\"cell\": \"23%\", \"bbox\": [188, 261, 204, 271]}, {\"cell\": \"38%\", \"bbox\": [234, 261, 249, 271]}, {\"cell\": \"31%\", \"bbox\": [279, 261, 295, 271]}, {\"cell\": \"15%\", \"bbox\": [325, 261, 340, 271]}, {\"cell\": \"23%\", \"bbox\": [373, 261, 388, 271]}, {\"cell\": \"Not reported\", \"bbox\": [413, 261, 443, 279]}, {\"cell\": \"0%\", \"bbox\": [461, 261, 472, 271]}, {\"cell\": \"0%\", \"bbox\": [499, 261, 511, 271]}, {\"cell\": \"Not reported\", \"bbox\": [530, 261, 560, 279]}, {\"cell\": \"Not reported\", \"bbox\": [574, 261, 603, 279]}, {\"cell\": \"0%\", \"bbox\": [624, 261, 635, 271]}, {\"cell\": \"Thierfelder\", \"bbox\": [0, 284, 36, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [54, 284, 84, 302]}, {\"cell\": \"Not reported\", \"bbox\": [97, 284, 127, 302]}, {\"cell\": \"Not reported\", \"bbox\": [136, 284, 165, 302]}, {\"cell\": \"Not reported\", \"bbox\": [181, 284, 211, 302]}, {\"cell\": \"Not reported\", \"bbox\": [227, 284, 256, 302]}, {\"cell\": \"Not reported\", \"bbox\": [272, 284, 302, 302]}, {\"cell\": \"Not reported\", \"bbox\": [318, 284, 347, 302]}, {\"cell\": \"Not reported\", \"bbox\": [365, 284, 395, 302]}, {\"cell\": \"Not reported\", \"bbox\": [413, 284, 443, 302]}, {\"cell\": \"Not reported\", \"bbox\": [452, 284, 481, 302]}, {\"cell\": \"Not reported\", \"bbox\": [490, 284, 520, 302]}, {\"cell\": \"Not reported\", \"bbox\": [530, 284, 560, 302]}, {\"cell\": \"Not reported\", \"bbox\": [574, 284, 603, 302]}, {\"cell\": \"0%\", \"bbox\": [624, 284, 635, 293]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4015364_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
QuestionsFirst year (%)Final year (%)P value (χ2 test)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]4590[EMPTY_CELL]
[EMPTY_CELL]3060.0001
[EMPTY_CELL]254[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]5283[EMPTY_CELL]
[EMPTY_CELL]2070.0001
[EMPTY_CELL]2810[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]222[EMPTY_CELL]
[EMPTY_CELL]82320.0001
[EMPTY_CELL]1646[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]7894[EMPTY_CELL]
[EMPTY_CELL]820.0001
[EMPTY_CELL]144[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Questions\", \"bbox\": [2, 4, 41, 15]}, {\"cell\": \"First year (%)\", \"bbox\": [266, 4, 316, 15]}, {\"cell\": \"Final year (%)\", \"bbox\": [350, 4, 403, 15]}, {\"cell\": \"P value (χ2 test)\", \"bbox\": [438, 1, 497, 17]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 18, 200, 28]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 28, 42, 42]}, {\"cell\": \"45\", \"bbox\": [286, 32, 296, 42]}, {\"cell\": \"90\", \"bbox\": [371, 32, 382, 42]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 46, 38, 56]}, {\"cell\": \"30\", \"bbox\": [286, 46, 296, 56]}, {\"cell\": \"6\", \"bbox\": [373, 46, 380, 56]}, {\"cell\": \"0.0001\", \"bbox\": [455, 46, 480, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 59, 77, 69]}, {\"cell\": \"25\", \"bbox\": [286, 59, 296, 69]}, {\"cell\": \"4\", \"bbox\": [373, 59, 380, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 73, 216, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 83, 42, 97]}, {\"cell\": \"52\", \"bbox\": [286, 87, 296, 97]}, {\"cell\": \"83\", \"bbox\": [371, 87, 382, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 101, 38, 111]}, {\"cell\": \"20\", \"bbox\": [286, 101, 296, 111]}, {\"cell\": \"7\", \"bbox\": [373, 101, 380, 111]}, {\"cell\": \"0.0001\", \"bbox\": [455, 102, 480, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 114, 77, 125]}, {\"cell\": \"28\", \"bbox\": [286, 114, 296, 125]}, {\"cell\": \"10\", \"bbox\": [372, 114, 381, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 128, 236, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 138, 42, 153]}, {\"cell\": \"2\", \"bbox\": [288, 142, 294, 153]}, {\"cell\": \"22\", \"bbox\": [371, 142, 382, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 156, 38, 167]}, {\"cell\": \"82\", \"bbox\": [286, 156, 296, 167]}, {\"cell\": \"32\", \"bbox\": [372, 156, 382, 167]}, {\"cell\": \"0.0001\", \"bbox\": [455, 157, 480, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 169, 77, 180]}, {\"cell\": \"16\", \"bbox\": [286, 169, 296, 180]}, {\"cell\": \"46\", \"bbox\": [371, 169, 382, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 183, 218, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 193, 42, 208]}, {\"cell\": \"78\", \"bbox\": [286, 197, 296, 208]}, {\"cell\": \"94\", \"bbox\": [371, 197, 382, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 211, 38, 222]}, {\"cell\": \"8\", \"bbox\": [288, 211, 294, 222]}, {\"cell\": \"2\", \"bbox\": [373, 211, 380, 222]}, {\"cell\": \"0.0001\", \"bbox\": [455, 212, 480, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 225, 77, 235]}, {\"cell\": \"14\", \"bbox\": [286, 225, 296, 235]}, {\"cell\": \"4\", \"bbox\": [373, 225, 380, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3615622_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
First author, year1234a56789score%
Banasik, 2011 [56]Y[EMPTY_CELL]YYSRY CNNN563%
Banerjee, 2007 [51]Y[EMPTY_CELL]YYYY CY CNN778%
Blank, 2003 [31]Y[EMPTY_CELL]?YN?NNN222%
Bower, 2012 [58]Y[EMPTY_CELL]YYY?YYY889%
Carson, 2009 [32]Y[EMPTY_CELL]YYYN CNNY667%
Chandwani, 2010 [55]Y[EMPTY_CELL]YYSRY CNN, ES no CIY675%
Cohen, 2004 [44]Y[EMPTY_CELL]YYNC (SR)N CNN, only 95% CIN450%
Culos-Reed, 2006 [52]Y[EMPTY_CELL]YYY CY CNNY778%
Danhauer, 2009 [53]Y[EMPTY_CELL]YYNCN CNNY556%
Littman, 2011 [57]Y[EMPTY_CELL]YYY CY dNYN778%
Moadel, 2007 [54]Y[EMPTY_CELL]Y bYNCN CNYY667%
Raghavendra, 2007 [49]Y[EMPTY_CELL]YYSRNNNN450%
Rao, 2009 [50]Y[EMPTY_CELL]YYSRNNYY667%
Vadiraja, 2009a [46]Y[EMPTY_CELL]YY??NN, ES no CIN450%
Vadiraja, 2009b [47]Y[EMPTY_CELL]YYSR?NYY675%
Vadiraja, 2009c [48]Y[EMPTY_CELL]YYSR?NN, ES no CIY556%
\", \"cells\": [{\"cell\": \"First author, year\", \"bbox\": [1, 4, 62, 13]}, {\"cell\": \"1\", \"bbox\": [98, 4, 104, 13]}, {\"cell\": \"2\", \"bbox\": [125, 4, 131, 13]}, {\"cell\": \"3\", \"bbox\": [157, 4, 164, 13]}, {\"cell\": \"4a\", \"bbox\": [190, 2, 199, 13]}, {\"cell\": \"5\", \"bbox\": [220, 4, 226, 13]}, {\"cell\": \"6\", \"bbox\": [265, 4, 271, 13]}, {\"cell\": \"7\", \"bbox\": [298, 4, 305, 13]}, {\"cell\": \"8\", \"bbox\": [331, 4, 337, 13]}, {\"cell\": \"9\", \"bbox\": [400, 4, 406, 13]}, {\"cell\": \"score\", \"bbox\": [428, 4, 448, 13]}, {\"cell\": \"%\", \"bbox\": [469, 4, 478, 13]}, {\"cell\": \"Banasik, 2011 [56]\", \"bbox\": [1, 17, 59, 27]}, {\"cell\": \"Y\", \"bbox\": [98, 17, 104, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [125, 17, 131, 27]}, {\"cell\": \"Y\", \"bbox\": [157, 17, 163, 27]}, {\"cell\": \"Y\", \"bbox\": [190, 17, 196, 27]}, {\"cell\": \"SR\", \"bbox\": [220, 17, 229, 27]}, {\"cell\": \"Y C\", \"bbox\": [265, 15, 277, 27]}, {\"cell\": \"N\", \"bbox\": [298, 17, 305, 27]}, {\"cell\": \"N\", \"bbox\": [331, 17, 338, 27]}, {\"cell\": \"N\", \"bbox\": [400, 17, 407, 27]}, {\"cell\": \"5\", \"bbox\": [428, 17, 434, 27]}, {\"cell\": \"63%\", \"bbox\": [469, 17, 484, 27]}, {\"cell\": \"Banerjee, 2007 [51]\", \"bbox\": [1, 30, 63, 40]}, {\"cell\": \"Y\", \"bbox\": [98, 30, 104, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [125, 29, 137, 40]}, {\"cell\": \"Y\", \"bbox\": [157, 30, 163, 40]}, {\"cell\": \"Y\", \"bbox\": [190, 30, 196, 40]}, {\"cell\": \"Y\", \"bbox\": [220, 30, 226, 40]}, {\"cell\": \"Y C\", \"bbox\": [265, 29, 277, 40]}, {\"cell\": \"Y C\", \"bbox\": [298, 29, 310, 40]}, {\"cell\": \"N\", \"bbox\": [331, 30, 338, 40]}, {\"cell\": \"N\", \"bbox\": [400, 30, 407, 40]}, {\"cell\": \"7\", \"bbox\": [428, 30, 434, 40]}, {\"cell\": \"78%\", \"bbox\": [469, 30, 484, 40]}, {\"cell\": \"Blank, 2003 [31]\", \"bbox\": [1, 43, 52, 53]}, {\"cell\": \"Y\", \"bbox\": [98, 43, 104, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": 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132]}, {\"cell\": \"N\", \"bbox\": [298, 122, 305, 132]}, {\"cell\": \"N\", \"bbox\": [331, 122, 338, 132]}, {\"cell\": \"Y\", \"bbox\": [400, 122, 406, 132]}, {\"cell\": \"5\", \"bbox\": [428, 122, 434, 132]}, {\"cell\": \"56%\", \"bbox\": [469, 122, 484, 132]}, {\"cell\": \"Littman, 2011 [57]\", \"bbox\": [1, 135, 60, 145]}, {\"cell\": \"Y\", \"bbox\": [98, 135, 104, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [125, 134, 137, 145]}, {\"cell\": \"Y\", \"bbox\": [157, 135, 163, 145]}, {\"cell\": \"Y\", \"bbox\": [190, 135, 196, 145]}, {\"cell\": \"Y C\", \"bbox\": [220, 134, 231, 145]}, {\"cell\": \"Y d\", \"bbox\": [265, 134, 276, 145]}, {\"cell\": \"N\", \"bbox\": [298, 135, 305, 145]}, {\"cell\": \"Y\", \"bbox\": [331, 135, 337, 145]}, {\"cell\": \"N\", \"bbox\": [400, 135, 407, 145]}, {\"cell\": \"7\", \"bbox\": [428, 135, 434, 145]}, {\"cell\": \"78%\", \"bbox\": [469, 135, 484, 145]}, {\"cell\": \"Moadel, 2007 [54]\", \"bbox\": [1, 149, 59, 158]}, {\"cell\": \"Y\", \"bbox\": [98, 149, 104, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [125, 147, 137, 158]}, {\"cell\": \"Y b\", \"bbox\": [157, 147, 169, 158]}, {\"cell\": \"Y\", \"bbox\": [190, 149, 196, 158]}, {\"cell\": \"NC\", \"bbox\": [220, 147, 230, 158]}, {\"cell\": \"N C\", \"bbox\": [265, 147, 278, 158]}, {\"cell\": \"N\", \"bbox\": [298, 149, 305, 158]}, {\"cell\": \"Y\", \"bbox\": [331, 149, 337, 158]}, {\"cell\": \"Y\", \"bbox\": [400, 149, 406, 158]}, {\"cell\": \"6\", \"bbox\": [428, 149, 434, 158]}, {\"cell\": \"67%\", \"bbox\": [469, 149, 484, 158]}, {\"cell\": \"Raghavendra, 2007 [49]\", \"bbox\": [1, 162, 77, 171]}, {\"cell\": \"Y\", \"bbox\": [98, 162, 104, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [125, 162, 131, 171]}, {\"cell\": \"Y\", \"bbox\": [157, 162, 163, 171]}, {\"cell\": \"Y\", \"bbox\": [190, 162, 196, 171]}, {\"cell\": \"SR\", \"bbox\": [220, 162, 229, 171]}, {\"cell\": \"N\", \"bbox\": [265, 162, 272, 171]}, {\"cell\": \"N\", \"bbox\": [298, 162, 305, 171]}, {\"cell\": \"N\", \"bbox\": [331, 162, 338, 171]}, {\"cell\": \"N\", \"bbox\": [400, 162, 407, 171]}, {\"cell\": \"4\", \"bbox\": [428, 162, 434, 171]}, {\"cell\": \"50%\", \"bbox\": [469, 162, 484, 171]}, {\"cell\": \"Rao, 2009 [50]\", \"bbox\": [1, 175, 47, 184]}, {\"cell\": \"Y\", \"bbox\": [98, 175, 104, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [125, 175, 131, 184]}, {\"cell\": \"Y\", \"bbox\": [157, 175, 163, 184]}, {\"cell\": \"Y\", \"bbox\": [190, 175, 196, 184]}, {\"cell\": \"SR\", \"bbox\": [220, 175, 229, 184]}, {\"cell\": \"N\", \"bbox\": [265, 175, 272, 184]}, {\"cell\": \"N\", \"bbox\": [298, 175, 305, 184]}, {\"cell\": \"Y\", \"bbox\": [331, 175, 337, 184]}, {\"cell\": \"Y\", \"bbox\": [400, 175, 406, 184]}, {\"cell\": \"6\", \"bbox\": [428, 175, 434, 184]}, {\"cell\": \"67%\", \"bbox\": [469, 175, 484, 184]}, {\"cell\": \"Vadiraja, 2009a [46]\", \"bbox\": [1, 188, 64, 197]}, {\"cell\": \"Y\", \"bbox\": [98, 188, 104, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [125, 188, 131, 197]}, {\"cell\": \"Y\", \"bbox\": [157, 188, 163, 197]}, {\"cell\": \"Y\", \"bbox\": [190, 188, 196, 197]}, {\"cell\": \"?\", \"bbox\": [220, 188, 225, 197]}, {\"cell\": \"?\", \"bbox\": [265, 188, 270, 197]}, {\"cell\": \"N\", \"bbox\": [298, 188, 305, 197]}, {\"cell\": \"N, ES no CI\", \"bbox\": [331, 188, 368, 197]}, {\"cell\": \"N\", \"bbox\": [400, 188, 407, 197]}, {\"cell\": \"4\", \"bbox\": [428, 188, 434, 197]}, {\"cell\": \"50%\", \"bbox\": [469, 188, 484, 197]}, {\"cell\": \"Vadiraja, 2009b [47]\", \"bbox\": [1, 201, 65, 211]}, {\"cell\": \"Y\", \"bbox\": [98, 201, 104, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [125, 201, 131, 211]}, {\"cell\": \"Y\", \"bbox\": [157, 201, 163, 211]}, {\"cell\": \"Y\", \"bbox\": [190, 201, 196, 211]}, {\"cell\": \"SR\", \"bbox\": [220, 201, 229, 211]}, {\"cell\": \"?\", \"bbox\": [265, 201, 270, 211]}, {\"cell\": \"N\", \"bbox\": [298, 201, 305, 211]}, {\"cell\": \"Y\", \"bbox\": [331, 201, 337, 211]}, {\"cell\": \"Y\", \"bbox\": [400, 201, 406, 211]}, {\"cell\": \"6\", \"bbox\": [428, 201, 434, 211]}, {\"cell\": \"75%\", \"bbox\": [469, 201, 484, 211]}, {\"cell\": \"Vadiraja, 2009c [48]\", \"bbox\": [1, 214, 64, 224]}, {\"cell\": \"Y\", \"bbox\": [98, 214, 104, 224]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [125, 214, 131, 224]}, {\"cell\": \"Y\", \"bbox\": [157, 214, 163, 224]}, {\"cell\": \"Y\", \"bbox\": [190, 214, 196, 224]}, {\"cell\": \"SR\", \"bbox\": [220, 214, 229, 224]}, {\"cell\": \"?\", \"bbox\": [265, 214, 270, 224]}, {\"cell\": \"N\", \"bbox\": [298, 214, 305, 224]}, {\"cell\": \"N, ES no CI\", \"bbox\": [331, 214, 368, 224]}, {\"cell\": \"Y\", \"bbox\": [400, 214, 406, 224]}, {\"cell\": \"5\", \"bbox\": [428, 214, 434, 224]}, {\"cell\": \"56%\", \"bbox\": [469, 214, 484, 224]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3571972_014_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
No.UnigenePutative protein
IDNucleotide length (bp)Protein length (aa)Protein annotationE-valueScoreIdentity (%)
1Contig217 in GSE672471521376[EMPTY_CELL]0.01967100.0
2Contig2051 in GSE697213161877[EMPTY_CELL]0.0418098.1
Contig27282 in GSE672473907877
3Contig2959 in GSE672471211231[EMPTY_CELL]9.3e-164118695.2
4Contig2263 in GSE672472372433[EMPTY_CELL]0.0187882.4
5Contig6112 in GSE67247444124[EMPTY_CELL]1.2e-5948774.5
6Contig13170 in GSE67247787230[EMPTY_CELL]7.9e-3630190.7
7Contig499 in GSE69721467109[EMPTY_CELL]8.8e-3531080.3
8Contig27398 in GSE67247784125[EMPTY_CELL]1.2e-7961498.4
9Contig6678 in GSE6972139878[EMPTY_CELL]4.4e-2222465.8
Contig27530 in GSE672477511673.3e-31[EMPTY_CELL]54.1
10Contig198 in GSE697212899847[EMPTY_CELL]0.0432998.3
11Contig3975 in GSE697211669202[EMPTY_CELL]2.3e-7156772.8
12Contig7475 in GSE67247937174[EMPTY_CELL]3e-10829590.0
Contig36225 in GSE697213591191e-61[EMPTY_CELL]90.0
13Contig4707 in SE672471665551[EMPTY_CELL]0.0232380.4
14Contig15192 in SE69721494128[EMPTY_CELL]9.7e-5446873.8
\", \"cells\": [{\"cell\": \"No.\", \"bbox\": [1, 4, 13, 13]}, {\"cell\": \"Unigene\", \"bbox\": [21, 4, 50, 13]}, {\"cell\": \"Putative protein\", \"bbox\": [160, 4, 213, 13]}, {\"cell\": \"ID\", \"bbox\": [21, 17, 30, 27]}, {\"cell\": \"Nucleotide length (bp)\", \"bbox\": [114, 17, 152, 36]}, {\"cell\": \"Protein length (aa)\", \"bbox\": [160, 17, 221, 27]}, {\"cell\": \"Protein annotation\", \"bbox\": [229, 17, 291, 27]}, {\"cell\": \"E-value\", \"bbox\": [382, 17, 407, 27]}, {\"cell\": \"Score\", \"bbox\": [418, 17, 438, 27]}, {\"cell\": \"Identity (%)\", \"bbox\": [446, 17, 484, 27]}, {\"cell\": \"1\", \"bbox\": [1, 39, 6, 49]}, {\"cell\": \"Contig217 in GSE67247\", \"bbox\": [21, 39, 98, 49]}, {\"cell\": \"1521\", \"bbox\": [114, 39, 131, 49]}, {\"cell\": \"376\", \"bbox\": [160, 39, 173, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 39, 316, 49]}, {\"cell\": \"0.0\", \"bbox\": [382, 39, 393, 49]}, {\"cell\": \"1967\", \"bbox\": [418, 39, 436, 49]}, {\"cell\": \"100.0\", \"bbox\": [446, 39, 465, 49]}, {\"cell\": \"2\", \"bbox\": [1, 53, 6, 63]}, {\"cell\": \"Contig2051 in GSE69721\", \"bbox\": [21, 53, 102, 63]}, {\"cell\": \"3161\", \"bbox\": [114, 53, 131, 63]}, {\"cell\": \"877\", \"bbox\": [160, 53, 173, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 53, 340, 63]}, {\"cell\": \"0.0\", \"bbox\": [382, 53, 393, 63]}, {\"cell\": \"4180\", \"bbox\": [418, 53, 436, 63]}, {\"cell\": \"98.1\", \"bbox\": [446, 53, 461, 63]}, {\"cell\": \"Contig27282 in GSE67247\", \"bbox\": [21, 67, 106, 77]}, {\"cell\": \"3907\", \"bbox\": [114, 67, 131, 77]}, {\"cell\": \"877\", \"bbox\": [160, 67, 173, 77]}, {\"cell\": \"3\", \"bbox\": [1, 81, 6, 91]}, {\"cell\": \"Contig2959 in GSE67247\", \"bbox\": [21, 81, 102, 91]}, {\"cell\": \"1211\", \"bbox\": [114, 81, 131, 91]}, {\"cell\": \"231\", \"bbox\": [160, 81, 173, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 81, 331, 91]}, {\"cell\": \"9.3e-164\", \"bbox\": [382, 81, 411, 91]}, {\"cell\": \"1186\", \"bbox\": [418, 81, 436, 91]}, {\"cell\": \"95.2\", \"bbox\": [446, 81, 461, 91]}, {\"cell\": \"4\", \"bbox\": [1, 95, 6, 105]}, {\"cell\": \"Contig2263 in GSE67247\", \"bbox\": [21, 95, 102, 105]}, {\"cell\": \"2372\", \"bbox\": [114, 95, 131, 105]}, {\"cell\": \"433\", \"bbox\": [160, 95, 173, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 95, 358, 105]}, {\"cell\": \"0.0\", \"bbox\": [382, 95, 393, 105]}, {\"cell\": \"1878\", \"bbox\": [418, 95, 436, 105]}, {\"cell\": \"82.4\", \"bbox\": [446, 95, 461, 105]}, {\"cell\": \"5\", \"bbox\": [1, 109, 6, 119]}, {\"cell\": \"Contig6112 in GSE67247\", \"bbox\": [21, 109, 102, 119]}, {\"cell\": \"444\", \"bbox\": [114, 109, 127, 119]}, {\"cell\": \"124\", \"bbox\": [160, 109, 173, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 109, 327, 119]}, {\"cell\": \"1.2e-59\", \"bbox\": [382, 109, 407, 119]}, {\"cell\": \"487\", \"bbox\": [418, 109, 432, 119]}, {\"cell\": \"74.5\", \"bbox\": [446, 109, 461, 119]}, {\"cell\": \"6\", \"bbox\": [1, 123, 6, 133]}, {\"cell\": \"Contig13170 in GSE67247\", \"bbox\": [21, 123, 106, 133]}, {\"cell\": \"787\", \"bbox\": [114, 123, 127, 133]}, {\"cell\": \"230\", \"bbox\": [160, 123, 173, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 123, 337, 133]}, {\"cell\": \"7.9e-36\", \"bbox\": [382, 123, 407, 133]}, {\"cell\": \"301\", \"bbox\": [418, 123, 432, 133]}, {\"cell\": \"90.7\", \"bbox\": [446, 123, 461, 133]}, {\"cell\": \"7\", \"bbox\": [1, 137, 6, 147]}, {\"cell\": \"Contig499 in GSE69721\", \"bbox\": [21, 137, 98, 147]}, {\"cell\": \"467\", \"bbox\": [114, 137, 127, 147]}, {\"cell\": \"109\", \"bbox\": [160, 137, 173, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 137, 332, 147]}, {\"cell\": \"8.8e-35\", \"bbox\": [382, 137, 407, 147]}, {\"cell\": \"310\", \"bbox\": [418, 137, 432, 147]}, {\"cell\": \"80.3\", \"bbox\": [446, 137, 461, 147]}, {\"cell\": \"8\", \"bbox\": [1, 151, 6, 161]}, {\"cell\": \"Contig27398 in GSE67247\", \"bbox\": [21, 151, 106, 161]}, {\"cell\": \"784\", \"bbox\": [114, 151, 127, 161]}, {\"cell\": \"125\", \"bbox\": [160, 151, 173, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 151, 352, 161]}, {\"cell\": \"1.2e-79\", \"bbox\": [382, 151, 407, 161]}, {\"cell\": \"614\", \"bbox\": [418, 151, 432, 161]}, {\"cell\": \"98.4\", \"bbox\": [446, 151, 461, 161]}, {\"cell\": \"9\", \"bbox\": [1, 165, 6, 175]}, {\"cell\": \"Contig6678 in GSE69721\", \"bbox\": [21, 165, 102, 175]}, {\"cell\": \"398\", \"bbox\": [114, 165, 127, 175]}, {\"cell\": \"78\", \"bbox\": [160, 165, 169, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 165, 345, 184]}, {\"cell\": \"4.4e-22\", \"bbox\": [382, 165, 407, 175]}, {\"cell\": \"224\", \"bbox\": [418, 165, 432, 175]}, {\"cell\": \"65.8\", \"bbox\": [446, 165, 461, 175]}, {\"cell\": \"Contig27530 in GSE67247\", \"bbox\": [21, 179, 106, 189]}, {\"cell\": \"751\", \"bbox\": [114, 179, 127, 189]}, {\"cell\": \"167\", \"bbox\": [160, 179, 173, 189]}, {\"cell\": \"3.3e-31\", \"bbox\": [382, 179, 407, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [418, 179, 432, 189]}, {\"cell\": \"54.1\", \"bbox\": [446, 179, 461, 189]}, {\"cell\": \"10\", \"bbox\": [1, 193, 10, 203]}, {\"cell\": \"Contig198 in GSE69721\", \"bbox\": [21, 193, 98, 203]}, {\"cell\": \"2899\", \"bbox\": [114, 193, 131, 203]}, {\"cell\": \"847\", \"bbox\": [160, 193, 173, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 193, 337, 212]}, {\"cell\": \"0.0\", \"bbox\": [382, 193, 393, 203]}, {\"cell\": \"4329\", \"bbox\": [418, 193, 436, 203]}, {\"cell\": \"98.3\", \"bbox\": [446, 193, 461, 203]}, {\"cell\": \"11\", \"bbox\": [1, 216, 10, 226]}, {\"cell\": \"Contig3975 in GSE69721\", \"bbox\": [21, 216, 102, 226]}, {\"cell\": \"1669\", \"bbox\": [114, 216, 131, 226]}, {\"cell\": \"202\", \"bbox\": [160, 216, 173, 226]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 216, 365, 226]}, {\"cell\": \"2.3e-71\", \"bbox\": [382, 216, 407, 226]}, {\"cell\": \"567\", \"bbox\": [418, 216, 432, 226]}, {\"cell\": \"72.8\", \"bbox\": [446, 216, 461, 226]}, {\"cell\": \"12\", \"bbox\": [1, 230, 10, 240]}, {\"cell\": \"Contig7475 in GSE67247\", \"bbox\": [21, 230, 102, 240]}, {\"cell\": \"937\", \"bbox\": [114, 230, 127, 240]}, {\"cell\": \"174\", \"bbox\": [160, 230, 173, 240]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 230, 332, 240]}, {\"cell\": \"3e-108\", \"bbox\": [382, 230, 405, 240]}, {\"cell\": \"295\", \"bbox\": [418, 230, 432, 240]}, {\"cell\": \"90.0\", \"bbox\": [446, 230, 461, 240]}, {\"cell\": \"Contig36225 in GSE69721\", \"bbox\": [21, 244, 106, 254]}, {\"cell\": \"359\", \"bbox\": [114, 244, 127, 254]}, {\"cell\": \"119\", \"bbox\": [160, 244, 173, 254]}, {\"cell\": \"1e-61\", \"bbox\": [382, 244, 402, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [418, 244, 432, 254]}, {\"cell\": \"90.0\", \"bbox\": [446, 244, 461, 254]}, {\"cell\": \"13\", \"bbox\": [1, 258, 10, 268]}, {\"cell\": \"Contig4707 in SE67247\", \"bbox\": [21, 258, 97, 268]}, {\"cell\": \"1665\", \"bbox\": [114, 258, 131, 268]}, {\"cell\": \"551\", \"bbox\": [160, 258, 173, 268]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 258, 374, 268]}, {\"cell\": \"0.0\", \"bbox\": [382, 258, 393, 268]}, {\"cell\": \"2323\", \"bbox\": [418, 258, 436, 268]}, {\"cell\": \"80.4\", \"bbox\": [446, 258, 461, 268]}, {\"cell\": \"14\", \"bbox\": [1, 272, 10, 282]}, {\"cell\": \"Contig15192 in SE69721\", \"bbox\": [21, 272, 101, 282]}, {\"cell\": \"494\", \"bbox\": [114, 272, 127, 282]}, {\"cell\": \"128\", \"bbox\": [160, 272, 173, 282]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 272, 357, 282]}, {\"cell\": \"9.7e-54\", \"bbox\": [382, 272, 407, 282]}, {\"cell\": \"468\", \"bbox\": [418, 272, 432, 282]}, {\"cell\": \"73.8\", \"bbox\": [446, 272, 461, 282]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5806362_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Studies (Author, year, country)DesignTreatmentNo. of patientsAge (years)Sex (M/F)Tumor size (cm)Child-Pugh Class (A/B/C)No. of tumors (1 /≥ 2)Mean follow up (months)
Azuma et al., 2016 (Japan)[EMPTY_CELL]TACE + RFATACE203969 (52–82)70 (48–92)14/625/141.3 (0.4–5.0)1.3 (0.4–5.2)16/4/028/11/00/200/39NANA
Bloomston et al.,2002 (American)[EMPTY_CELL]TACE + RFATACE132461.1 ± 9.464.3 ± 11.912/115/9NANANANANANA9.1 ± 7.19.1 ± 7.1
Hyun et al.,2016 (Korea)[EMPTY_CELL]TACE + RFATACE375457.7 ± 7.759.5 ± 9.531/642/12NANA34/3/045/9/026/1136/1832.5 (32.0 ± 9.5)47.6 (41.5 ± 18.0)
Iezzi et al.,2015 (Italy)[EMPTY_CELL]TACE + RFATACE402068.2 ± 6.170.5 ± 5.824/1616/44.7 ± 1.14.2 ± 1.724/16/03/17/0NANA24 ± 824 ± 17
Liu er al.,2014 (China)[EMPTY_CELL]TACE + RFATACE454345–7544–7836/943/344–155–1413/20/1210/23/1030/1530/13NANA
Othman et al.,2014 (Egypt)[EMPTY_CELL]TACE + RFARFATACE20202049 (45–70)49 (45–70)49 (45–70)40/205–75–75–7NANANANANANANANANA
Song et al.,2016 (Korea)[EMPTY_CELL]TACE + RFARFATACE87437160.4 (29–78)62.0 (35–88)60.0 (23–87)70/1731/1253/182.5 (1.0–4.6)2.2 (1.3–4.7)2.5 (1.0–4.7)80/7/037/6/068/3/062/2335/841/3033.3 (3.8–80.9)33.3 (3.8–80.9)33.3 (3.8–80.9)
Tang et al.,2016 (China)[EMPTY_CELL]TACE + RFARFATACE40494348.3 ± 13.547.1 ± 13.345.8 ± 15.129/1134/1533/10NANANA18/22/022/27/019/24/014/2615/3413/30NANANA
Yang et al.,2008 (China)[EMPTY_CELL]TACE + RFARFATACE24121159 ± 11.161.0 ± 10.457.6 ± 11.818/68/48/46.6 ± 0.65.2 ± 0.46.4 ± 1.011/5/18/6/110/5/05/348/187/1NANANA
Yang et al.,2009 (China)[EMPTY_CELL]TACE + RFARFATACE31373557.8 (43–78)58.3 (38–80)51.2 (30–74)24/727/1030/53.5 (1.7–7.3)3.8 (2–6.4)3.6 (1.2–8.0)20/10/123/13/121/13/115/1617/2014/21NANANA
Yin et al.,2014 (China)[EMPTY_CELL]TACE + RFATACE55156NANA47/8138/185.9 (5–8)6.0 (5–8)48/7/0136/20/035/20115/4123 (2–71)23 (2–71)
\", \"cells\": [{\"cell\": \"Studies (Author, year, country)\", \"bbox\": [6, 5, 57, 21]}, {\"cell\": \"Design\", \"bbox\": [71, 5, 93, 13]}, {\"cell\": \"Treatment\", \"bbox\": [112, 5, 145, 13]}, {\"cell\": \"No. of patients\", \"bbox\": [159, 5, 184, 21]}, {\"cell\": \"Age (years)\", \"bbox\": [202, 5, 225, 21]}, {\"cell\": \"Sex (M/F)\", \"bbox\": [245, 5, 265, 21]}, {\"cell\": \"Tumor size (cm)\", \"bbox\": [282, 5, 317, 21]}, {\"cell\": \"Child-Pugh Class (A/B/C)\", \"bbox\": [330, 5, 373, 21]}, {\"cell\": \"No. of tumors (1 /≥ 2)\", \"bbox\": [382, 5, 425, 22]}, {\"cell\": \"Mean follow up (months)\", \"bbox\": [440, 5, 489, 21]}, {\"cell\": \"Azuma et al., 2016 (Japan)\", \"bbox\": [4, 26, 44, 42]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 26, 94, 34]}, {\"cell\": \"TACE + RFATACE\", \"bbox\": [106, 26, 146, 42]}, {\"cell\": \"2039\", \"bbox\": [167, 26, 176, 42]}, {\"cell\": \"69 (52–82)70 (48–92)\", \"bbox\": [197, 26, 230, 42]}, {\"cell\": \"14/625/14\", \"bbox\": [246, 26, 264, 42]}, {\"cell\": \"1.3 (0.4–5.0)1.3 (0.4–5.2)\", \"bbox\": [280, 26, 319, 42]}, {\"cell\": \"16/4/028/11/0\", \"bbox\": [340, 26, 363, 42]}, {\"cell\": \"0/200/39\", \"bbox\": [396, 26, 411, 42]}, {\"cell\": \"NANA\", \"bbox\": [459, 26, 471, 42]}, {\"cell\": \"Bloomston et al.,2002 (American)\", \"bbox\": [4, 47, 55, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 47, 94, 55]}, {\"cell\": \"TACE + RFATACE\", \"bbox\": [106, 47, 146, 64]}, {\"cell\": \"1324\", \"bbox\": [167, 47, 176, 64]}, {\"cell\": \"61.1 ± 9.464.3 ± 11.9\", \"bbox\": [197, 47, 230, 64]}, {\"cell\": \"12/115/9\", \"bbox\": [248, 47, 262, 64]}, {\"cell\": \"NANA\", \"bbox\": [294, 47, 306, 64]}, {\"cell\": \"NANA\", \"bbox\": [346, 47, 358, 64]}, {\"cell\": \"NANA\", \"bbox\": [398, 47, 410, 64]}, {\"cell\": \"9.1 ± 7.19.1 ± 7.1\", \"bbox\": [451, 47, 478, 64]}, {\"cell\": \"Hyun et al.,2016 (Korea)\", \"bbox\": [5, 68, 44, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 68, 94, 77]}, {\"cell\": \"TACE + RFATACE\", \"bbox\": [106, 68, 146, 85]}, {\"cell\": \"3754\", \"bbox\": [167, 68, 176, 85]}, {\"cell\": \"57.7 ± 7.759.5 ± 9.5\", \"bbox\": [198, 68, 228, 85]}, {\"cell\": \"31/642/12\", \"bbox\": [246, 68, 264, 85]}, {\"cell\": \"NANA\", \"bbox\": [294, 68, 306, 85]}, {\"cell\": \"34/3/045/9/0\", \"bbox\": [342, 68, 361, 85]}, {\"cell\": \"26/1136/18\", \"bbox\": [395, 68, 413, 85]}, {\"cell\": \"32.5 (32.0 ± 9.5)47.6 (41.5 ± 18.0)\", \"bbox\": [438, 68, 492, 85]}, {\"cell\": \"Iezzi et al.,2015 (Italy)\", \"bbox\": [5, 89, 40, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 89, 94, 98]}, {\"cell\": \"TACE + RFATACE\", \"bbox\": [106, 89, 146, 106]}, {\"cell\": \"4020\", \"bbox\": [167, 89, 176, 106]}, {\"cell\": \"68.2 ± 6.170.5 ± 5.8\", \"bbox\": [198, 89, 228, 106]}, {\"cell\": \"24/1616/4\", \"bbox\": [246, 89, 264, 106]}, {\"cell\": \"4.7 ± 1.14.2 ± 1.7\", \"bbox\": [286, 89, 313, 106]}, {\"cell\": \"24/16/03/17/0\", \"bbox\": [340, 89, 363, 106]}, {\"cell\": \"NANA\", \"bbox\": [398, 89, 410, 106]}, {\"cell\": \"24 ± 824 ± 17\", \"bbox\": [453, 89, 476, 106]}, {\"cell\": \"Liu er al.,2014 (China)\", \"bbox\": [5, 111, 44, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 111, 94, 119]}, {\"cell\": \"TACE + RFATACE\", \"bbox\": [106, 111, 146, 127]}, {\"cell\": \"4543\", \"bbox\": [167, 111, 176, 127]}, {\"cell\": \"45–7544–78\", \"bbox\": [204, 111, 223, 127]}, {\"cell\": \"36/943/34\", \"bbox\": [246, 111, 264, 127]}, {\"cell\": \"4–155–14\", \"bbox\": [292, 111, 308, 127]}, {\"cell\": \"13/20/1210/23/10\", \"bbox\": [338, 111, 365, 127]}, {\"cell\": \"30/1530/13\", \"bbox\": [395, 111, 413, 127]}, {\"cell\": \"NANA\", \"bbox\": [459, 111, 471, 127]}, {\"cell\": \"Othman et al.,2014 (Egypt)\", \"bbox\": [5, 132, 47, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 132, 94, 140]}, {\"cell\": \"TACE + RFARFATACE\", \"bbox\": [106, 132, 146, 157]}, {\"cell\": \"202020\", \"bbox\": [167, 132, 176, 157]}, {\"cell\": \"49 (45–70)49 (45–70)49 (45–70)\", \"bbox\": [197, 132, 230, 157]}, {\"cell\": \"40/20\", \"bbox\": [246, 132, 264, 140]}, {\"cell\": \"5–75–75–7\", \"bbox\": [293, 132, 306, 157]}, {\"cell\": \"NANANA\", \"bbox\": [346, 132, 358, 157]}, {\"cell\": \"NANANA\", \"bbox\": [398, 132, 410, 157]}, {\"cell\": \"NANANA\", \"bbox\": [459, 132, 471, 157]}, {\"cell\": \"Song et al.,2016 (Korea)\", \"bbox\": [5, 162, 44, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 162, 94, 170]}, {\"cell\": \"TACE + RFARFATACE\", \"bbox\": [106, 162, 146, 187]}, {\"cell\": \"874371\", \"bbox\": [167, 162, 176, 187]}, {\"cell\": \"60.4 (29–78)62.0 (35–88)60.0 (23–87)\", \"bbox\": [194, 162, 232, 187]}, {\"cell\": \"70/1731/1253/18\", \"bbox\": [246, 162, 264, 187]}, {\"cell\": \"2.5 (1.0–4.6)2.2 (1.3–4.7)2.5 (1.0–4.7)\", \"bbox\": [280, 162, 319, 187]}, {\"cell\": \"80/7/037/6/068/3/0\", \"bbox\": [342, 162, 362, 187]}, {\"cell\": \"62/2335/841/30\", \"bbox\": [395, 162, 413, 187]}, {\"cell\": \"33.3 (3.8–80.9)33.3 (3.8–80.9)33.3 (3.8–80.9)\", \"bbox\": [442, 162, 487, 187]}, {\"cell\": \"Tang et al.,2016 (China)\", \"bbox\": [5, 191, 45, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 191, 94, 200]}, {\"cell\": \"TACE + RFARFATACE\", \"bbox\": [106, 191, 146, 216]}, {\"cell\": \"404943\", \"bbox\": [167, 191, 176, 216]}, {\"cell\": \"48.3 ± 13.547.1 ± 13.345.8 ± 15.1\", \"bbox\": [196, 191, 230, 216]}, {\"cell\": \"29/1134/1533/10\", \"bbox\": [246, 191, 264, 216]}, {\"cell\": \"NANANA\", \"bbox\": [294, 191, 306, 216]}, {\"cell\": \"18/22/022/27/019/24/0\", \"bbox\": [340, 191, 363, 216]}, {\"cell\": \"14/2615/3413/30\", \"bbox\": [395, 191, 413, 216]}, {\"cell\": \"NANANA\", \"bbox\": [459, 191, 471, 216]}, {\"cell\": \"Yang et al.,2008 (China)\", \"bbox\": [5, 221, 44, 238]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 221, 80, 229]}, {\"cell\": \"TACE + RFARFATACE\", \"bbox\": [106, 221, 146, 246]}, {\"cell\": \"241211\", \"bbox\": [167, 221, 176, 246]}, {\"cell\": \"59 ± 11.161.0 ± 10.457.6 ± 11.8\", \"bbox\": [196, 221, 230, 246]}, {\"cell\": \"18/68/48/4\", \"bbox\": [248, 221, 262, 246]}, {\"cell\": \"6.6 ± 0.65.2 ± 0.46.4 ± 1.0\", \"bbox\": [286, 221, 313, 246]}, {\"cell\": \"11/5/18/6/110/5/0\", \"bbox\": [342, 221, 362, 246]}, {\"cell\": \"5/348/187/1\", \"bbox\": [396, 221, 411, 246]}, {\"cell\": \"NANANA\", \"bbox\": [459, 221, 471, 246]}, {\"cell\": \"Yang et al.,2009 (China)\", \"bbox\": [5, 251, 44, 267]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 251, 94, 259]}, {\"cell\": \"TACE + RFARFATACE\", \"bbox\": [106, 251, 146, 276]}, {\"cell\": \"313735\", \"bbox\": [167, 251, 176, 276]}, {\"cell\": \"57.8 (43–78)58.3 (38–80)51.2 (30–74)\", \"bbox\": [194, 251, 232, 276]}, {\"cell\": \"24/727/1030/5\", \"bbox\": [246, 251, 264, 276]}, {\"cell\": \"3.5 (1.7–7.3)3.8 (2–6.4)3.6 (1.2–8.0)\", \"bbox\": [280, 251, 319, 276]}, {\"cell\": \"20/10/123/13/121/13/1\", \"bbox\": [340, 251, 363, 276]}, {\"cell\": \"15/1617/2014/21\", \"bbox\": [395, 251, 413, 276]}, {\"cell\": \"NANANA\", \"bbox\": [459, 251, 471, 276]}, {\"cell\": \"Yin et al.,2014 (China)\", \"bbox\": [5, 280, 44, 297]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 280, 94, 289]}, {\"cell\": \"TACE + RFATACE\", \"bbox\": [106, 280, 146, 297]}, {\"cell\": \"55156\", \"bbox\": [165, 280, 178, 297]}, {\"cell\": \"NANA\", \"bbox\": [207, 280, 220, 297]}, {\"cell\": \"47/8138/18\", \"bbox\": [244, 280, 266, 297]}, {\"cell\": \"5.9 (5–8)6.0 (5–8)\", \"bbox\": [286, 280, 313, 297]}, {\"cell\": \"48/7/0136/20/0\", \"bbox\": [338, 280, 365, 297]}, {\"cell\": \"35/20115/41\", \"bbox\": [393, 280, 414, 297]}, {\"cell\": \"23 (2–71)23 (2–71)\", \"bbox\": [450, 280, 479, 297]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5356855_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
SpeciesNumber of individualsMean intra‐spMax intra‐spDistance to NNNN
COI
P. citrinopileatus30[EMPTY_CELL]7.7P. djamor
P. djamor20.13[EMPTY_CELL]7.7P. citrinopileatus
P. eryngii1N/A[EMPTY_CELL]1.47P. ostreatus
P. giganteus1N/A[EMPTY_CELL]4.55P. pulmonarius
P. ostreatus80.45[EMPTY_CELL]1.2P. pulmonarius
P. pulmonarius70.08[EMPTY_CELL]1.2P. ostreatus
ITS
P. citrinopileatus30[EMPTY_CELL]12.06P. giganteus
P. djamor20.16[EMPTY_CELL]19.37P. pulmonarius
P. eryngii1N/A[EMPTY_CELL]2.37P. ostreatus
P. giganteus32.33[EMPTY_CELL]12.06P. citrinopileatus
P. ostreatus412.18[EMPTY_CELL]1.89P. pulmonarius
P. pulmonarius70[EMPTY_CELL]1.89P. ostreatus
\", \"cells\": [{\"cell\": \"Species\", \"bbox\": [7, 15, 34, 27]}, {\"cell\": \"Number of individuals\", \"bbox\": [102, 7, 140, 27]}, {\"cell\": \"Mean intra‐sp\", \"bbox\": [179, 15, 228, 27]}, {\"cell\": \"Max intra‐sp\", \"bbox\": [267, 15, 312, 27]}, {\"cell\": \"Distance to NN\", \"bbox\": [351, 18, 405, 25]}, {\"cell\": \"NN\", \"bbox\": [444, 18, 457, 25]}, {\"cell\": \"COI\", \"bbox\": [7, 31, 22, 43]}, {\"cell\": \"P. citrinopileatus\", \"bbox\": [14, 48, 68, 57]}, {\"cell\": \"3\", \"bbox\": [102, 45, 108, 57]}, {\"cell\": \"0\", \"bbox\": [184, 48, 190, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [272, 48, 278, 55]}, {\"cell\": \"7.7\", \"bbox\": [355, 48, 367, 55]}, {\"cell\": \"P. djamor\", \"bbox\": [444, 48, 476, 57]}, {\"cell\": \"P. djamor\", \"bbox\": [14, 62, 46, 71]}, {\"cell\": \"2\", \"bbox\": [102, 62, 108, 70]}, {\"cell\": \"0.13\", \"bbox\": [184, 59, 201, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [272, 59, 289, 71]}, {\"cell\": \"7.7\", \"bbox\": [355, 62, 367, 70]}, {\"cell\": \"P. citrinopileatus\", \"bbox\": [444, 62, 498, 71]}, {\"cell\": \"P. eryngii\", \"bbox\": [14, 76, 45, 85]}, {\"cell\": \"1\", \"bbox\": [102, 76, 108, 84]}, {\"cell\": \"N/A\", \"bbox\": [179, 73, 195, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 73, 283, 86]}, {\"cell\": \"1.47\", \"bbox\": [355, 76, 371, 84]}, {\"cell\": \"P. ostreatus\", \"bbox\": [444, 76, 483, 85]}, {\"cell\": \"P. giganteus\", \"bbox\": [14, 90, 54, 99]}, {\"cell\": \"1\", \"bbox\": [102, 90, 108, 98]}, {\"cell\": \"N/A\", \"bbox\": [179, 87, 195, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 87, 283, 100]}, {\"cell\": \"4.55\", \"bbox\": [355, 87, 371, 100]}, {\"cell\": \"P. pulmonarius\", \"bbox\": [444, 90, 492, 99]}, {\"cell\": \"P. ostreatus\", \"bbox\": [14, 104, 53, 113]}, {\"cell\": \"8\", \"bbox\": [102, 104, 108, 112]}, {\"cell\": \"0.45\", \"bbox\": [184, 101, 201, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [272, 104, 284, 112]}, {\"cell\": \"1.2\", \"bbox\": [355, 104, 367, 112]}, {\"cell\": \"P. pulmonarius\", \"bbox\": [444, 104, 492, 113]}, {\"cell\": \"P. pulmonarius\", \"bbox\": [14, 118, 62, 127]}, {\"cell\": \"7\", \"bbox\": [102, 118, 108, 126]}, {\"cell\": \"0.08\", \"bbox\": [184, 118, 201, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [272, 116, 289, 128]}, {\"cell\": \"1.2\", \"bbox\": [355, 118, 367, 126]}, {\"cell\": \"P. ostreatus\", \"bbox\": [444, 118, 483, 127]}, {\"cell\": \"ITS\", \"bbox\": [7, 130, 19, 142]}, {\"cell\": \"P. citrinopileatus\", \"bbox\": [14, 146, 68, 155]}, {\"cell\": \"3\", \"bbox\": [102, 144, 108, 156]}, {\"cell\": \"0\", \"bbox\": [184, 146, 190, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [272, 146, 278, 154]}, {\"cell\": \"12.06\", \"bbox\": [351, 146, 372, 154]}, {\"cell\": \"P. giganteus\", \"bbox\": [444, 146, 484, 155]}, {\"cell\": \"P. djamor\", \"bbox\": [14, 160, 46, 169]}, {\"cell\": \"2\", \"bbox\": [102, 160, 108, 168]}, {\"cell\": \"0.16\", \"bbox\": [184, 160, 201, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [272, 160, 289, 168]}, {\"cell\": \"19.37\", \"bbox\": [351, 158, 372, 170]}, {\"cell\": \"P. pulmonarius\", \"bbox\": [444, 160, 492, 169]}, {\"cell\": \"P. eryngii\", \"bbox\": [14, 174, 45, 183]}, {\"cell\": \"1\", \"bbox\": [102, 174, 108, 182]}, {\"cell\": \"N/A\", \"bbox\": [179, 172, 195, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 172, 283, 184]}, {\"cell\": \"2.37\", \"bbox\": [355, 172, 371, 184]}, {\"cell\": \"P. ostreatus\", \"bbox\": [444, 174, 483, 183]}, {\"cell\": \"P. giganteus\", \"bbox\": [14, 188, 54, 197]}, {\"cell\": \"3\", \"bbox\": [102, 186, 108, 198]}, {\"cell\": \"2.33\", \"bbox\": [184, 186, 201, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [272, 188, 289, 196]}, {\"cell\": \"12.06\", \"bbox\": [351, 188, 372, 196]}, {\"cell\": \"P. citrinopileatus\", \"bbox\": [444, 188, 498, 197]}, {\"cell\": \"P. ostreatus\", \"bbox\": [14, 202, 53, 211]}, {\"cell\": \"4\", \"bbox\": [102, 200, 108, 212]}, {\"cell\": \"12.18\", \"bbox\": [179, 202, 201, 210]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 202, 289, 210]}, {\"cell\": \"1.89\", \"bbox\": [355, 202, 371, 210]}, {\"cell\": \"P. pulmonarius\", \"bbox\": [444, 202, 492, 211]}, {\"cell\": \"P. pulmonarius\", \"bbox\": [14, 216, 62, 225]}, {\"cell\": \"7\", \"bbox\": [102, 216, 108, 224]}, {\"cell\": \"0\", \"bbox\": [184, 216, 190, 224]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [272, 216, 278, 224]}, {\"cell\": \"1.89\", \"bbox\": [355, 216, 371, 224]}, {\"cell\": \"P. ostreatus\", \"bbox\": [444, 216, 483, 225]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5587487_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Total cohort (n = 591)Biopsies taken * after PCA3 (n = 290)No biopsy taken after PCA3 (n = 301)p-Value
Age (median, yrs)64[EMPTY_CELL]630.0230 a
DRE suspicious117[EMPTY_CELL]27<0.0001 b
Prostate volume (median, cc)45[EMPTY_CELL]400.0267 a
No previous biopsies255[EMPTY_CELL]88<0.0001 b
PSA (median, ng/mL)7.2[EMPTY_CELL]7.10.0432 a
PCA3 (median)24[EMPTY_CELL]17<0.0001 a
[EMPTY_CELL]PCA3 < 35 (n = 369)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Biopsy taken *128[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Prostate cancer upon biopsy30[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Total cohort (n = 591)\", \"bbox\": [169, 14, 224, 40]}, {\"cell\": \"Biopsies taken * after PCA3 (n = 290)\", \"bbox\": [266, 7, 337, 48]}, {\"cell\": \"No biopsy taken after PCA3 (n = 301)\", \"bbox\": [350, 7, 421, 48]}, {\"cell\": \"p-Value\", \"bbox\": [439, 22, 474, 33]}, {\"cell\": \"Age (median, yrs)\", \"bbox\": [30, 52, 105, 63]}, {\"cell\": \"64\", \"bbox\": [191, 52, 203, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [296, 52, 308, 63]}, {\"cell\": \"63\", \"bbox\": [380, 52, 392, 63]}, {\"cell\": \"0.0230 a\", \"bbox\": [439, 50, 474, 63]}, {\"cell\": \"DRE suspicious\", \"bbox\": [35, 67, 101, 78]}, {\"cell\": \"117\", \"bbox\": [188, 67, 205, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 67, 307, 78]}, {\"cell\": \"27\", \"bbox\": [380, 67, 392, 78]}, {\"cell\": \"<0.0001 b\", \"bbox\": [436, 65, 477, 78]}, {\"cell\": \"Prostate volume (median, cc)\", \"bbox\": [8, 82, 127, 93]}, {\"cell\": \"45\", \"bbox\": [191, 82, 203, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [296, 82, 308, 93]}, {\"cell\": \"40\", \"bbox\": [380, 82, 392, 93]}, {\"cell\": \"0.0267 a\", \"bbox\": [439, 80, 474, 93]}, {\"cell\": \"No previous biopsies\", \"bbox\": [24, 97, 111, 108]}, {\"cell\": \"255\", \"bbox\": [188, 97, 205, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 97, 310, 108]}, {\"cell\": \"88\", \"bbox\": [380, 97, 392, 108]}, {\"cell\": \"<0.0001 b\", \"bbox\": [436, 95, 477, 108]}, {\"cell\": \"PSA (median, ng/mL)\", \"bbox\": [22, 112, 113, 123]}, {\"cell\": \"7.2\", \"bbox\": [189, 112, 204, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [294, 112, 309, 123]}, {\"cell\": \"7.1\", \"bbox\": [379, 112, 393, 123]}, {\"cell\": \"0.0432 a\", \"bbox\": [439, 110, 474, 123]}, {\"cell\": \"PCA3 (median)\", \"bbox\": [35, 127, 100, 138]}, {\"cell\": \"24\", \"bbox\": [191, 127, 203, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 127, 308, 138]}, {\"cell\": \"17\", \"bbox\": [380, 127, 392, 138]}, {\"cell\": \"<0.0001 a\", \"bbox\": [436, 125, 477, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"PCA3 < 35 (n = 369)\", \"bbox\": [144, 142, 191, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [207, 139, 254, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Biopsy taken *\", \"bbox\": [37, 172, 99, 183]}, {\"cell\": \"128\", \"bbox\": [159, 172, 176, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [222, 172, 239, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Prostate cancer upon biopsy\", \"bbox\": [11, 187, 125, 198]}, {\"cell\": \"30\", \"bbox\": [161, 187, 173, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [225, 187, 237, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3709735_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
FactorsUnivariable analysisMultivariable analysisa
OR (95 % CI)p-valueOR (95 % CI)p-value
Male gender4.57 (0.82–25.41)0.083[EMPTY_CELL][EMPTY_CELL]
Age (years)1.00 (0.94–1.07)0.904
Loss to follow-up period (months)1.03 (0.97–1.08)0.371
Glaucoma family history (n)3.31 (0.54–20.41)0.196
Past medical history (n)[EMPTY_CELL][EMPTY_CELL]
Diabetes mellitus3.44 (0.31–38.48)0.315
Hypertension1.64 (0.17–15.98)0.671
Baseline IOP (mm Hg)1.74 (1.19–2.56)b0.005[EMPTY_CELL]0.037
MD (dB)0.90 (0.46–1.76)0.750
PSD (dB)3.08 (0.40–23.53)0.279
Average RNFL thickness (μm)0.83 (0.75–0.92)0.001b[EMPTY_CELL]0.004
VCDR3.14 (0.00–47.13)0.851
Central corneal thickness (μm)1.00 (0.97–1.02)b0.766
Refractive error (SE, diopter)0.70 (0.49–1.00)b0.053
\", \"cells\": [{\"cell\": \"Factors\", \"bbox\": [1, 4, 25, 13]}, {\"cell\": \"Univariable analysis\", \"bbox\": [165, 4, 229, 13]}, {\"cell\": \"Multivariable analysisa\", \"bbox\": [352, 2, 423, 13]}, {\"cell\": \"OR (95 % CI)\", \"bbox\": [165, 17, 208, 27]}, {\"cell\": \"p-value\", \"bbox\": [273, 17, 299, 27]}, {\"cell\": \"OR (95 % CI)\", \"bbox\": [352, 17, 394, 27]}, {\"cell\": \"p-value\", \"bbox\": [459, 17, 484, 27]}, {\"cell\": \"Male gender\", \"bbox\": [1, 30, 43, 40]}, {\"cell\": \"4.57 (0.82–25.41)\", \"bbox\": [165, 30, 220, 40]}, {\"cell\": \"0.083\", \"bbox\": [273, 30, 292, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Age (years)\", \"bbox\": [1, 44, 38, 54]}, {\"cell\": \"1.00 (0.94–1.07)\", \"bbox\": [165, 44, 216, 54]}, {\"cell\": \"0.904\", \"bbox\": [273, 44, 292, 54]}, {\"cell\": \"Loss to follow-up period (months)\", \"bbox\": [1, 58, 112, 68]}, {\"cell\": \"1.03 (0.97–1.08)\", \"bbox\": [165, 58, 216, 68]}, {\"cell\": \"0.371\", \"bbox\": [273, 58, 292, 68]}, {\"cell\": \"Glaucoma family history (n)\", \"bbox\": [1, 72, 90, 82]}, {\"cell\": \"3.31 (0.54–20.41)\", \"bbox\": [165, 72, 220, 82]}, {\"cell\": \"0.196\", \"bbox\": [273, 72, 292, 82]}, {\"cell\": \"Past medical history (n)\", \"bbox\": [1, 86, 77, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Diabetes mellitus\", \"bbox\": [8, 100, 65, 110]}, {\"cell\": \"3.44 (0.31–38.48)\", \"bbox\": [165, 100, 220, 110]}, {\"cell\": \"0.315\", \"bbox\": [273, 100, 292, 110]}, {\"cell\": \" Hypertension\", \"bbox\": [8, 114, 53, 124]}, {\"cell\": \"1.64 (0.17–15.98)\", \"bbox\": [165, 114, 220, 124]}, {\"cell\": \"0.671\", \"bbox\": [273, 114, 292, 124]}, {\"cell\": \"Baseline IOP (mm Hg)\", \"bbox\": [1, 128, 73, 138]}, {\"cell\": \"1.74 (1.19–2.56)b\", \"bbox\": [165, 127, 220, 138]}, {\"cell\": \"0.005\", \"bbox\": [273, 128, 292, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 127, 406, 138]}, {\"cell\": \"0.037\", \"bbox\": [459, 128, 478, 138]}, {\"cell\": \"MD (dB)\", \"bbox\": [1, 142, 29, 152]}, {\"cell\": \"0.90 (0.46–1.76)\", \"bbox\": [165, 142, 216, 152]}, {\"cell\": \"0.750\", \"bbox\": [273, 142, 292, 152]}, {\"cell\": \"PSD (dB)\", \"bbox\": [1, 156, 30, 166]}, {\"cell\": \"3.08 (0.40–23.53)\", \"bbox\": [165, 156, 220, 166]}, {\"cell\": \"0.279\", \"bbox\": [273, 156, 292, 166]}, {\"cell\": \"Average RNFL thickness (μm)\", \"bbox\": [1, 170, 96, 180]}, {\"cell\": \"0.83 (0.75–0.92)\", \"bbox\": [165, 170, 216, 180]}, {\"cell\": \"0.001b\", \"bbox\": [273, 169, 295, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 169, 406, 180]}, {\"cell\": \"0.004\", \"bbox\": [459, 170, 478, 180]}, {\"cell\": \"VCDR\", \"bbox\": [1, 184, 20, 194]}, {\"cell\": \"3.14 (0.00–47.13)\", \"bbox\": [165, 184, 220, 194]}, {\"cell\": \"0.851\", \"bbox\": [273, 184, 292, 194]}, {\"cell\": \"Central corneal thickness (μm)\", \"bbox\": [1, 198, 99, 208]}, {\"cell\": \"1.00 (0.97–1.02)b\", \"bbox\": [165, 197, 220, 208]}, {\"cell\": \"0.766\", \"bbox\": [273, 198, 292, 208]}, {\"cell\": \"Refractive error (SE, diopter)\", \"bbox\": [1, 212, 91, 222]}, {\"cell\": \"0.70 (0.49–1.00)b\", \"bbox\": [165, 211, 220, 222]}, {\"cell\": \"0.053\", \"bbox\": [273, 212, 292, 222]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4880870_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Happy[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]80-100 ms120-140 ms200-220 ms
BandBPEPdiCPR2EPdiCPR2EP[EMPTY_CELL]CPR2
θ12.08 (0.02)1.57(0.06)0.38(0.26)0.77(0.55).021.62 (0.06)0.25(0.27)1.10(0.56).011.68 (0.05)[EMPTY_CELL]1.31(0.50).01
θ22.06 (0.02)1.82 (0.05)0.39(0.22)1.01(0.44).031.87 (0.05)0.41(0.21)1.02(0.43).031.78 (0.06)[EMPTY_CELL]0.85(0.48).03
θ32.09 (0.02)2.07 (0.05)0.37(0.17)1.30**(0.37).042.13 (0.05)0.38(0.18)1.33**(0.37).041.99 (0.05)[EMPTY_CELL]1.05(0.37).05
α12.32 (0.04)2.15 (0.04)0.25(0.11)1.57**(0.26).042.22 (0.04)0.26(0.10)1.62**(0.24).051.94 (0.04)[EMPTY_CELL]1.26**(0.24).06
α22.42 (0.03)2.02 (0.04)0.47**(0.11)0.89*(0.28).122.04 (0.04)0.39**(0.10)1.10**(0.25).111.34(0.05)[EMPTY_CELL]0.73(0.30).03
β12.24 (0.02)1.74 (0.05)0.67**(0.16)0.24(0.36).131.68 (0.04)0.66**(0.16)0.20(0.37).120.56 (0.05)[EMPTY_CELL]-0.93(0.41).10
β22.12 (0.02)1.29 (0.05)0.66**(0.19)-0.12(0.40).091.09 (0.05)1.10**(0.21)-1.24(0.45).180.01 (0.04)[EMPTY_CELL]-1.36**(0.38).10
\", \"cells\": [{\"cell\": \"Happy\", \"bbox\": [7, 8, 30, 18]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"80-100 ms\", \"bbox\": [70, 23, 105, 33]}, {\"cell\": \"120-140 ms\", \"bbox\": [199, 23, 238, 33]}, {\"cell\": \"200-220 ms\", \"bbox\": [328, 23, 367, 33]}, {\"cell\": \"Band\", \"bbox\": [9, 37, 28, 47]}, {\"cell\": \"BP\", \"bbox\": [46, 37, 57, 47]}, {\"cell\": \"EP\", \"bbox\": [78, 37, 89, 47]}, {\"cell\": \"di\", \"bbox\": [112, 37, 119, 49]}, {\"cell\": \"CP\", \"bbox\": [142, 37, 154, 47]}, {\"cell\": \"R2\", \"bbox\": [176, 37, 185, 45]}, {\"cell\": \"EP\", \"bbox\": [207, 37, 218, 47]}, {\"cell\": \"di\", \"bbox\": [241, 37, 249, 49]}, {\"cell\": \"CP\", \"bbox\": [271, 37, 283, 47]}, {\"cell\": \"R2\", \"bbox\": [305, 37, 314, 45]}, {\"cell\": \"EP\", \"bbox\": [336, 37, 347, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [371, 37, 378, 49]}, {\"cell\": \"CP\", \"bbox\": [401, 37, 412, 47]}, {\"cell\": \"R2\", \"bbox\": [434, 37, 443, 45]}, {\"cell\": \"θ1\", \"bbox\": [15, 51, 23, 63]}, {\"cell\": \"2.08 (0.02)\", \"bbox\": [41, 51, 62, 71]}, {\"cell\": \"1.57(0.06)\", \"bbox\": [73, 51, 94, 71]}, {\"cell\": \"0.38(0.26)\", \"bbox\": [105, 51, 126, 71]}, {\"cell\": \"0.77(0.55)\", \"bbox\": [138, 51, 159, 71]}, {\"cell\": \".02\", \"bbox\": [175, 51, 186, 61]}, {\"cell\": \"1.62 (0.06)\", \"bbox\": [202, 51, 223, 71]}, {\"cell\": \"0.25(0.27)\", \"bbox\": [235, 51, 255, 71]}, {\"cell\": \"1.10(0.56)\", \"bbox\": [267, 51, 288, 71]}, {\"cell\": \".01\", \"bbox\": [304, 51, 315, 61]}, {\"cell\": \"1.68 (0.05)\", \"bbox\": [331, 51, 352, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 51, 385, 71]}, {\"cell\": \"1.31(0.50)\", \"bbox\": [396, 51, 417, 71]}, {\"cell\": \".01\", \"bbox\": [433, 51, 445, 61]}, {\"cell\": \"θ2\", \"bbox\": [15, 76, 23, 87]}, {\"cell\": \"2.06 (0.02)\", \"bbox\": [41, 76, 62, 95]}, {\"cell\": \"1.82 (0.05)\", \"bbox\": [74, 76, 95, 95]}, {\"cell\": \"0.39(0.22)\", \"bbox\": [105, 76, 126, 95]}, {\"cell\": \"1.01(0.44)\", \"bbox\": [138, 76, 159, 95]}, {\"cell\": \".03\", \"bbox\": [175, 76, 186, 85]}, {\"cell\": \"1.87 (0.05)\", \"bbox\": [202, 76, 223, 95]}, {\"cell\": \"0.41(0.21)\", \"bbox\": [235, 76, 255, 95]}, {\"cell\": \"1.02(0.43)\", \"bbox\": [267, 76, 288, 95]}, {\"cell\": \".03\", \"bbox\": [304, 76, 315, 85]}, {\"cell\": \"1.78 (0.06)\", \"bbox\": [331, 76, 352, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 76, 385, 95]}, {\"cell\": \"0.85(0.48)\", \"bbox\": [396, 76, 417, 95]}, {\"cell\": \".03\", \"bbox\": [433, 76, 445, 85]}, {\"cell\": \"θ3\", \"bbox\": [15, 100, 23, 112]}, {\"cell\": \"2.09 (0.02)\", \"bbox\": [41, 100, 62, 120]}, {\"cell\": \"2.07 (0.05)\", \"bbox\": [73, 100, 94, 120]}, {\"cell\": \"0.37(0.17)\", \"bbox\": [105, 100, 126, 120]}, {\"cell\": \"1.30**(0.37)\", \"bbox\": [137, 100, 159, 120]}, {\"cell\": \".04\", \"bbox\": [175, 100, 186, 110]}, {\"cell\": \"2.13 (0.05)\", \"bbox\": [202, 100, 223, 120]}, {\"cell\": \"0.38(0.18)\", \"bbox\": [235, 100, 255, 120]}, {\"cell\": \"1.33**(0.37)\", \"bbox\": [266, 100, 288, 120]}, {\"cell\": \".04\", \"bbox\": [304, 100, 315, 110]}, {\"cell\": \"1.99 (0.05)\", \"bbox\": [331, 100, 352, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 100, 385, 120]}, {\"cell\": \"1.05(0.37)\", \"bbox\": [396, 100, 417, 120]}, {\"cell\": \".05\", \"bbox\": [433, 100, 445, 110]}, {\"cell\": \"α1\", \"bbox\": [15, 124, 23, 136]}, {\"cell\": \"2.32 (0.04)\", \"bbox\": [42, 124, 63, 144]}, {\"cell\": \"2.15 (0.04)\", \"bbox\": [73, 124, 94, 144]}, {\"cell\": \"0.25(0.11)\", \"bbox\": [105, 124, 126, 144]}, {\"cell\": \"1.57**(0.26)\", \"bbox\": [137, 124, 159, 144]}, {\"cell\": \".04\", \"bbox\": [175, 124, 186, 134]}, {\"cell\": \"2.22 (0.04)\", \"bbox\": [202, 124, 223, 144]}, {\"cell\": \"0.26(0.10)\", \"bbox\": [235, 124, 255, 144]}, {\"cell\": \"1.62**(0.24)\", \"bbox\": [266, 124, 288, 144]}, {\"cell\": \".05\", \"bbox\": [304, 124, 315, 134]}, {\"cell\": \"1.94 (0.04)\", \"bbox\": [331, 124, 352, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 124, 385, 144]}, {\"cell\": \"1.26**(0.24)\", \"bbox\": [396, 124, 417, 144]}, {\"cell\": \".06\", \"bbox\": [433, 124, 445, 134]}, {\"cell\": \"α2\", \"bbox\": [15, 149, 23, 160]}, {\"cell\": \"2.42 (0.03)\", \"bbox\": [41, 149, 62, 168]}, {\"cell\": \"2.02 (0.04)\", \"bbox\": [73, 149, 94, 168]}, {\"cell\": \"0.47**(0.11)\", \"bbox\": [105, 149, 127, 168]}, {\"cell\": \"0.89*(0.28)\", \"bbox\": [138, 149, 159, 168]}, {\"cell\": \".12\", \"bbox\": [175, 149, 186, 158]}, {\"cell\": \"2.04 (0.04)\", \"bbox\": [202, 149, 223, 168]}, {\"cell\": \"0.39**(0.10)\", \"bbox\": [234, 149, 256, 168]}, {\"cell\": \"1.10**(0.25)\", \"bbox\": [266, 149, 288, 168]}, {\"cell\": \".11\", \"bbox\": [304, 149, 315, 158]}, {\"cell\": \"1.34(0.05)\", \"bbox\": [331, 149, 352, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 149, 385, 168]}, {\"cell\": \"0.73(0.30)\", \"bbox\": [396, 149, 417, 168]}, {\"cell\": \".03\", \"bbox\": [433, 149, 445, 158]}, {\"cell\": \"β1\", \"bbox\": [15, 173, 23, 185]}, {\"cell\": \"2.24 (0.02)\", \"bbox\": [42, 173, 63, 193]}, {\"cell\": \"1.74 (0.05)\", \"bbox\": [73, 173, 94, 193]}, {\"cell\": \"0.67**(0.16)\", \"bbox\": [105, 173, 127, 193]}, {\"cell\": \"0.24(0.36)\", \"bbox\": [138, 173, 159, 193]}, {\"cell\": \".13\", \"bbox\": [175, 173, 186, 183]}, {\"cell\": \"1.68 (0.04)\", \"bbox\": [202, 173, 223, 193]}, {\"cell\": \"0.66**(0.16)\", \"bbox\": [234, 173, 256, 193]}, {\"cell\": \"0.20(0.37)\", \"bbox\": [267, 173, 288, 193]}, {\"cell\": \".12\", \"bbox\": [304, 173, 315, 183]}, {\"cell\": \"0.56 (0.05)\", \"bbox\": [331, 173, 352, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [363, 173, 385, 193]}, {\"cell\": \"-0.93(0.41)\", \"bbox\": [396, 173, 417, 193]}, {\"cell\": \".10\", \"bbox\": [433, 173, 445, 183]}, {\"cell\": \"β2\", \"bbox\": [15, 197, 23, 209]}, {\"cell\": \"2.12 (0.02)\", \"bbox\": [42, 197, 63, 217]}, {\"cell\": \"1.29 (0.05)\", \"bbox\": [73, 197, 94, 217]}, {\"cell\": \"0.66**(0.19)\", \"bbox\": [105, 197, 127, 217]}, {\"cell\": \"-0.12(0.40)\", \"bbox\": [138, 197, 159, 217]}, {\"cell\": \".09\", \"bbox\": [175, 197, 186, 207]}, {\"cell\": \"1.09 (0.05)\", \"bbox\": [202, 197, 223, 217]}, {\"cell\": \"1.10**(0.21)\", \"bbox\": [234, 197, 256, 217]}, {\"cell\": \"-1.24(0.45)\", \"bbox\": [267, 197, 288, 217]}, {\"cell\": \".18\", \"bbox\": [304, 197, 315, 207]}, {\"cell\": \"0.01 (0.04)\", \"bbox\": [331, 197, 352, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [363, 197, 385, 217]}, {\"cell\": \"-1.36**(0.38)\", \"bbox\": [394, 197, 419, 217]}, {\"cell\": \".10\", \"bbox\": [433, 197, 445, 207]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5279858_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Decision to delay seeking medical helpEver provideda faecal sampleInvasive bowel screeningtest in past 5 years
VariableOdds Ratio (95% CI)p valueOdds Ratio (95% CI)p valueOdds Ratio (95% CI)p value
[EMPTY_CELL]1.22 (0.62–2.39).5601.80 (0.98–3.31).0591.84 (0.85–3.97).123
[EMPTY_CELL]1.00 (0.97–1.04).8431.05 (1.02–1.08).0021.06 (1.02–1.10).002
[EMPTY_CELL]1.31 (0.68–2.54).4180.51 (0.27–0.96).0380.52 (0.22–1.22).133
[EMPTY_CELL]1.06 (0.43–2.62).9060.51 (0.23–1.16).1071.76 (0.71–4.36).225
[EMPTY_CELL]0.47 (0.24–0.95).0352.16 (1.21–3.85).0096.79 (3.57–12.94).000
[EMPTY_CELL]1.19 (1.00–1.42).0460.99 (0.85–1.15).8681.14 (0.93–1.38).206
[EMPTY_CELL]1.53 (1.10–2.13).0120.89 (0.64–1.24).4840.92 (0.60–1.42).718
[EMPTY_CELL]1.49 (0.97–2.29).0701.73 (1.10–2.70).0171.60 (0.92–2.77).097
[EMPTY_CELL]0.91 (0.57–1.46).6980.66 (0.42–1.04).0700.41 (0.22–0.76).004
[EMPTY_CELL]1.47 (0.88–2.45).1420.75 (0.46–1.24).2651.12 (0.58–2.17).734
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Decision to delay seeking medical help\", \"bbox\": [137, 4, 265, 13]}, {\"cell\": \"Ever provideda faecal sample\", \"bbox\": [278, 4, 329, 22]}, {\"cell\": \"Invasive bowel screeningtest in past 5 years\", \"bbox\": [385, 4, 468, 22]}, {\"cell\": \"Variable\", \"bbox\": [1, 26, 27, 36]}, {\"cell\": \"Odds Ratio (95% CI)\", \"bbox\": [137, 26, 203, 36]}, {\"cell\": \"p value\", \"bbox\": [228, 26, 253, 36]}, {\"cell\": \"Odds Ratio (95% CI)\", \"bbox\": [278, 26, 343, 36]}, {\"cell\": \"p value\", \"bbox\": [352, 26, 377, 36]}, {\"cell\": \"Odds Ratio (95% CI)\", \"bbox\": [385, 26, 451, 36]}, {\"cell\": \"p value\", \"bbox\": [459, 26, 484, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 38, 16, 49]}, {\"cell\": \"1.22 (0.62–2.39)\", \"bbox\": [137, 39, 188, 49]}, {\"cell\": \".560\", \"bbox\": [228, 39, 242, 49]}, {\"cell\": \"1.80 (0.98–3.31)\", \"bbox\": [278, 39, 329, 49]}, {\"cell\": \".059\", \"bbox\": [352, 39, 366, 49]}, {\"cell\": \"1.84 (0.85–3.97)\", \"bbox\": [385, 39, 436, 49]}, {\"cell\": \".123\", \"bbox\": [459, 39, 474, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 53, 15, 63]}, {\"cell\": \"1.00 (0.97–1.04)\", \"bbox\": [137, 53, 188, 63]}, {\"cell\": \".843\", \"bbox\": [228, 53, 242, 63]}, {\"cell\": \"1.05 (1.02–1.08)\", \"bbox\": [278, 53, 329, 63]}, {\"cell\": \".002\", \"bbox\": [352, 53, 366, 63]}, {\"cell\": \"1.06 (1.02–1.10)\", \"bbox\": [385, 53, 436, 63]}, {\"cell\": \".002\", \"bbox\": [459, 53, 474, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 66, 119, 77]}, {\"cell\": \"1.31 (0.68–2.54)\", \"bbox\": [137, 67, 188, 77]}, {\"cell\": \".418\", \"bbox\": [228, 67, 242, 77]}, {\"cell\": \"0.51 (0.27–0.96)\", \"bbox\": [278, 67, 329, 77]}, {\"cell\": \".038\", \"bbox\": [352, 67, 366, 77]}, {\"cell\": \"0.52 (0.22–1.22)\", \"bbox\": [385, 67, 436, 77]}, {\"cell\": \".133\", \"bbox\": [459, 67, 474, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 80, 122, 91]}, {\"cell\": \"1.06 (0.43–2.62)\", \"bbox\": [137, 81, 188, 91]}, {\"cell\": \".906\", \"bbox\": [228, 81, 242, 91]}, {\"cell\": \"0.51 (0.23–1.16)\", \"bbox\": [278, 81, 329, 91]}, {\"cell\": \".107\", \"bbox\": [352, 81, 366, 91]}, {\"cell\": \"1.76 (0.71–4.36)\", \"bbox\": [385, 81, 436, 91]}, {\"cell\": \".225\", \"bbox\": [459, 81, 474, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 94, 77, 105]}, {\"cell\": \"0.47 (0.24–0.95)\", \"bbox\": [137, 95, 188, 105]}, {\"cell\": \".035\", \"bbox\": [228, 95, 242, 105]}, {\"cell\": \"2.16 (1.21–3.85)\", \"bbox\": [278, 95, 329, 105]}, {\"cell\": \".009\", \"bbox\": [352, 95, 366, 105]}, {\"cell\": \"6.79 (3.57–12.94)\", \"bbox\": [385, 95, 440, 105]}, {\"cell\": \".000\", \"bbox\": [459, 95, 474, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 109, 129, 119]}, {\"cell\": \"1.19 (1.00–1.42)\", \"bbox\": [137, 109, 188, 119]}, {\"cell\": \".046\", \"bbox\": [228, 109, 242, 119]}, {\"cell\": \"0.99 (0.85–1.15)\", \"bbox\": [278, 109, 329, 119]}, {\"cell\": \".868\", \"bbox\": [352, 109, 366, 119]}, {\"cell\": \"1.14 (0.93–1.38)\", \"bbox\": [385, 109, 436, 119]}, {\"cell\": \".206\", \"bbox\": [459, 109, 474, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 123, 72, 133]}, {\"cell\": \"1.53 (1.10–2.13)\", \"bbox\": [137, 123, 188, 133]}, {\"cell\": \".012\", \"bbox\": [228, 123, 242, 133]}, {\"cell\": \"0.89 (0.64–1.24)\", \"bbox\": [278, 123, 329, 133]}, {\"cell\": \".484\", \"bbox\": [352, 123, 366, 133]}, {\"cell\": \"0.92 (0.60–1.42)\", \"bbox\": [385, 123, 436, 133]}, {\"cell\": \".718\", \"bbox\": [459, 123, 474, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 137, 69, 147]}, {\"cell\": \"1.49 (0.97–2.29)\", \"bbox\": [137, 137, 188, 147]}, {\"cell\": \".070\", \"bbox\": [228, 137, 242, 147]}, {\"cell\": \"1.73 (1.10–2.70)\", \"bbox\": [278, 137, 329, 147]}, {\"cell\": \".017\", \"bbox\": [352, 137, 366, 147]}, {\"cell\": \"1.60 (0.92–2.77)\", \"bbox\": [385, 137, 436, 147]}, {\"cell\": \".097\", \"bbox\": [459, 137, 474, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 151, 73, 161]}, {\"cell\": \"0.91 (0.57–1.46)\", \"bbox\": [137, 151, 188, 161]}, {\"cell\": \".698\", \"bbox\": [228, 151, 242, 161]}, {\"cell\": \"0.66 (0.42–1.04)\", \"bbox\": [278, 151, 329, 161]}, {\"cell\": \".070\", \"bbox\": [352, 151, 366, 161]}, {\"cell\": \"0.41 (0.22–0.76)\", \"bbox\": [385, 151, 436, 161]}, {\"cell\": \".004\", \"bbox\": [459, 151, 474, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 165, 63, 175]}, {\"cell\": \"1.47 (0.88–2.45)\", \"bbox\": [137, 165, 188, 175]}, {\"cell\": \".142\", \"bbox\": [228, 165, 242, 175]}, {\"cell\": \"0.75 (0.46–1.24)\", \"bbox\": [278, 165, 329, 175]}, {\"cell\": \".265\", \"bbox\": [352, 165, 366, 175]}, {\"cell\": \"1.12 (0.58–2.17)\", \"bbox\": [385, 165, 436, 175]}, {\"cell\": \".734\", \"bbox\": [459, 165, 474, 175]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5932793_005_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariablesIndividuals with coughOthersp-values
Female gender (%)[EMPTY_CELL]51.1<0.05
Age (years)[EMPTY_CELL]48.8<0.001
Height (cm)[EMPTY_CELL]172<0.01
Weight (kg)[EMPTY_CELL]75.7n.s.
BMI (kg/m2)[EMPTY_CELL]25.5<0.001
Nasal polyps (%)[EMPTY_CELL]2.6n.s.
Ever smoked (%)[EMPTY_CELL]43.50.057
Regularly smoking (%)[EMPTY_CELL]15.9<0.001
Smoking (pack-years)[EMPTY_CELL]6.0<0.001
Daily nasal blockage (%)[EMPTY_CELL]8.8<0.001
Daily nasal secretion (%)[EMPTY_CELL]5.4<0.0001
Daily sneezing (%)[EMPTY_CELL]3.9<0.01
Symptoms of asthma (%)[EMPTY_CELL]8.2<0.0001
Diabetes (%)[EMPTY_CELL]4.20.052
Sense of smell (SOIT) correct answers of 16[EMPTY_CELL]13.8n.s.
Not capable to identify peppermint (%)[EMPTY_CELL]12<0.01
Odor sensitivity (%)[EMPTY_CELL]31.6<0.001
Aspirin intolerance (%)[EMPTY_CELL]1.9<0.05
Cold air sensitivity (%)[EMPTY_CELL]13.4<0.0001
\", \"cells\": [{\"cell\": \"Variables\", \"bbox\": [1, 6, 35, 15]}, {\"cell\": \"Individuals with cough\", \"bbox\": [115, 6, 157, 27]}, {\"cell\": \"Others\", \"bbox\": [174, 6, 200, 15]}, {\"cell\": \"p-values\", \"bbox\": [217, 6, 249, 15]}, {\"cell\": \"Female gender (%)\", \"bbox\": [1, 37, 66, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [117, 37, 134, 46]}, {\"cell\": \"51.1\", \"bbox\": [177, 37, 194, 46]}, {\"cell\": \"<0.05\", \"bbox\": [217, 37, 240, 46]}, {\"cell\": \"Age (years)\", \"bbox\": [1, 48, 40, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [117, 48, 134, 57]}, {\"cell\": \"48.8\", \"bbox\": [177, 48, 194, 57]}, {\"cell\": \"<0.001\", \"bbox\": [217, 48, 243, 57]}, {\"cell\": \"Height (cm)\", \"bbox\": [1, 60, 41, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [114, 60, 128, 69]}, {\"cell\": \"172\", \"bbox\": [173, 60, 187, 69]}, {\"cell\": \"<0.01\", \"bbox\": [217, 60, 239, 69]}, {\"cell\": \"Weight (kg)\", \"bbox\": [1, 71, 40, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [117, 71, 134, 80]}, {\"cell\": \"75.7\", \"bbox\": [177, 71, 194, 80]}, {\"cell\": \"n.s.\", \"bbox\": [217, 71, 231, 80]}, {\"cell\": \"BMI (kg/m2)\", \"bbox\": [1, 81, 43, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [117, 83, 134, 92]}, {\"cell\": \"25.5\", \"bbox\": [177, 83, 194, 92]}, {\"cell\": \"<0.001\", \"bbox\": [217, 83, 243, 92]}, {\"cell\": \"Nasal polyps (%)\", \"bbox\": [1, 94, 58, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [122, 94, 134, 103]}, {\"cell\": \"2.6\", \"bbox\": [181, 94, 194, 103]}, {\"cell\": \"n.s.\", \"bbox\": [217, 94, 231, 103]}, {\"cell\": \"Ever smoked (%)\", \"bbox\": [1, 106, 60, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [117, 106, 134, 115]}, {\"cell\": \"43.5\", \"bbox\": [177, 106, 194, 115]}, {\"cell\": \"0.057\", \"bbox\": [217, 106, 238, 115]}, {\"cell\": \"Regularly smoking (%)\", \"bbox\": [1, 117, 77, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [117, 117, 134, 126]}, {\"cell\": \"15.9\", \"bbox\": [177, 117, 194, 126]}, {\"cell\": \"<0.001\", \"bbox\": [217, 117, 243, 126]}, {\"cell\": \"Smoking (pack-years)\", \"bbox\": [1, 129, 73, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [118, 129, 134, 138]}, {\"cell\": \"6.0\", \"bbox\": [181, 129, 194, 138]}, {\"cell\": \"<0.001\", \"bbox\": [217, 129, 243, 138]}, {\"cell\": \"Daily nasal blockage (%)\", \"bbox\": [1, 140, 83, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [117, 140, 134, 149]}, {\"cell\": \"8.8\", \"bbox\": [181, 140, 194, 149]}, {\"cell\": \"<0.001\", \"bbox\": [217, 140, 243, 149]}, {\"cell\": \"Daily nasal secretion (%)\", \"bbox\": [1, 152, 85, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [118, 152, 134, 161]}, {\"cell\": \"5.4\", \"bbox\": [181, 152, 194, 161]}, {\"cell\": \"<0.0001\", \"bbox\": [217, 152, 248, 161]}, {\"cell\": \"Daily sneezing (%)\", \"bbox\": [1, 163, 64, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [118, 163, 134, 172]}, {\"cell\": \"3.9\", \"bbox\": [181, 163, 194, 172]}, {\"cell\": \"<0.01\", \"bbox\": [217, 163, 239, 172]}, {\"cell\": \"Symptoms of asthma (%)\", \"bbox\": [1, 175, 88, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [117, 175, 134, 184]}, {\"cell\": \"8.2\", \"bbox\": [181, 175, 194, 184]}, {\"cell\": \"<0.0001\", \"bbox\": [217, 175, 248, 184]}, {\"cell\": \"Diabetes (%)\", \"bbox\": [1, 186, 46, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [122, 186, 134, 195]}, {\"cell\": \"4.2\", \"bbox\": [181, 186, 194, 195]}, {\"cell\": \"0.052\", \"bbox\": [217, 186, 238, 195]}, {\"cell\": \"Sense of smell (SOIT) correct answers of 16\", \"bbox\": [1, 198, 75, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [118, 198, 134, 207]}, {\"cell\": \"13.8\", \"bbox\": [177, 198, 194, 207]}, {\"cell\": \"n.s.\", \"bbox\": [217, 198, 231, 207]}, {\"cell\": \"Not capable to identify peppermint (%)\", \"bbox\": [0, 223, 78, 242]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [117, 223, 128, 232]}, {\"cell\": \"12\", \"bbox\": [177, 223, 187, 232]}, {\"cell\": \"<0.01\", \"bbox\": [217, 223, 239, 232]}, {\"cell\": \"Odor sensitivity (%)\", \"bbox\": [1, 248, 68, 257]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [117, 248, 134, 257]}, {\"cell\": \"31.6\", \"bbox\": [177, 248, 194, 257]}, {\"cell\": \"<0.001\", \"bbox\": [217, 248, 243, 257]}, {\"cell\": \"Aspirin intolerance (%)\", \"bbox\": [1, 259, 78, 268]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [122, 259, 134, 268]}, {\"cell\": \"1.9\", \"bbox\": [181, 259, 194, 268]}, {\"cell\": \"<0.05\", \"bbox\": [217, 259, 240, 268]}, {\"cell\": \"Cold air sensitivity (%)\", \"bbox\": [1, 271, 77, 280]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [117, 271, 134, 280]}, {\"cell\": \"13.4\", \"bbox\": [177, 271, 194, 280]}, {\"cell\": \"<0.0001\", \"bbox\": [217, 271, 248, 280]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3429028_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]TAV ControlTAV TurnerBAV TurnerControl-TAV TurnerControl-BAV TurnerTAV- BAV Turner
(n = 38)(n = 39)(n = 16)ppp
Age (y)34 (14)30 (12)25 (9)0.2410.008[EMPTY_CELL]
Length (cm)166 (8)154 (8)152 (6)0.0000.000[EMPTY_CELL]
Weight (kg)61 (11)58 (12)55 (8)0.3290.099[EMPTY_CELL]
Heart Rate (bpm)69 (10)78 (14)83 (8)0.0020.000[EMPTY_CELL]
BMI (kg/m2)21.8 (3.1)24.4 (4.8)23.9 (2.8)0.0060.032[EMPTY_CELL]
BSA (mosteller)1.67 (0.17)1.6 (0.2)1.5 (0.1)0.0160.007[EMPTY_CELL]
Systolic BP (mmHg)118 (14)123 (16)118 (14)0.1510.982[EMPTY_CELL]
Diastolic BP (mmHg)70 (9)82 (14)80 (9)0.0000.002[EMPTY_CELL]
Aortic arch length (mm)97 (13)99 (15)110 (27)0.5420.021[EMPTY_CELL]
Descending aorta (mm)108 (15)102 (13)96 (12)0.0500.009[EMPTY_CELL]
Abdominal aorta (mm)170 (21)156 (21)163 (16)0.0050.235[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TAV Control\", \"bbox\": [98, 4, 138, 13]}, {\"cell\": \"TAV Turner\", \"bbox\": [156, 4, 194, 13]}, {\"cell\": \"BAV Turner\", \"bbox\": [212, 4, 249, 13]}, {\"cell\": \"Control-TAV Turner\", \"bbox\": [267, 4, 330, 13]}, {\"cell\": \"Control-BAV Turner\", \"bbox\": [348, 4, 412, 13]}, {\"cell\": \"TAV- BAV Turner\", \"bbox\": [430, 4, 484, 13]}, {\"cell\": \"(n = 38)\", \"bbox\": [98, 17, 124, 27]}, {\"cell\": \"(n = 39)\", \"bbox\": [156, 17, 182, 27]}, {\"cell\": \"(n = 16)\", \"bbox\": [212, 17, 237, 27]}, {\"cell\": \"p\", \"bbox\": [267, 19, 273, 26]}, {\"cell\": \"p\", \"bbox\": [348, 19, 354, 26]}, {\"cell\": \"p\", \"bbox\": [430, 19, 436, 26]}, {\"cell\": \"Age (y)\", \"bbox\": [1, 30, 25, 40]}, {\"cell\": \"34 (14)\", \"bbox\": [98, 30, 122, 40]}, {\"cell\": \"30 (12)\", \"bbox\": [156, 30, 180, 40]}, {\"cell\": \"25 (9)\", \"bbox\": [212, 30, 232, 40]}, {\"cell\": \"0.241\", \"bbox\": [289, 30, 307, 40]}, {\"cell\": \"0.008\", \"bbox\": [370, 31, 391, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 30, 466, 40]}, {\"cell\": \"Length (cm)\", \"bbox\": [1, 44, 42, 54]}, {\"cell\": \"166 (8)\", \"bbox\": [98, 44, 122, 54]}, {\"cell\": \"154 (8)\", \"bbox\": [156, 44, 180, 54]}, {\"cell\": \"152 (6)\", \"bbox\": [212, 44, 235, 54]}, {\"cell\": \"0.000\", \"bbox\": [288, 45, 309, 52]}, {\"cell\": \"0.000\", \"bbox\": [370, 45, 391, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 44, 466, 54]}, {\"cell\": \"Weight (kg)\", \"bbox\": [1, 58, 40, 68]}, {\"cell\": \"61 (11)\", \"bbox\": [98, 58, 122, 68]}, {\"cell\": \"58 (12)\", \"bbox\": [156, 58, 180, 68]}, {\"cell\": \"55 (8)\", \"bbox\": [212, 58, 232, 68]}, {\"cell\": \"0.329\", \"bbox\": [289, 58, 307, 68]}, {\"cell\": \"0.099\", \"bbox\": [370, 58, 389, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 58, 466, 68]}, {\"cell\": \"Heart Rate (bpm)\", \"bbox\": [1, 72, 58, 82]}, {\"cell\": \"69 (10)\", \"bbox\": [98, 72, 122, 82]}, {\"cell\": \"78 (14)\", \"bbox\": [156, 72, 180, 82]}, {\"cell\": \"83 (8)\", \"bbox\": [212, 72, 232, 82]}, {\"cell\": \"0.002\", \"bbox\": [288, 73, 309, 80]}, {\"cell\": \"0.000\", \"bbox\": [370, 73, 391, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 72, 466, 82]}, {\"cell\": \"BMI (kg/m2)\", \"bbox\": [1, 85, 41, 96]}, {\"cell\": \"21.8 (3.1)\", \"bbox\": [98, 86, 128, 96]}, {\"cell\": \"24.4 (4.8)\", \"bbox\": [156, 86, 187, 96]}, {\"cell\": \"23.9 (2.8)\", \"bbox\": [212, 86, 242, 96]}, {\"cell\": \"0.006\", \"bbox\": [288, 87, 309, 94]}, {\"cell\": \"0.032\", \"bbox\": [370, 87, 391, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 86, 466, 96]}, {\"cell\": \"BSA (mosteller)\", \"bbox\": [0, 100, 51, 110]}, {\"cell\": \"1.67 (0.17)\", \"bbox\": [98, 100, 132, 110]}, {\"cell\": \"1.6 (0.2)\", \"bbox\": [156, 100, 183, 110]}, {\"cell\": \"1.5 (0.1)\", \"bbox\": [212, 100, 238, 110]}, {\"cell\": \"0.016\", \"bbox\": [288, 101, 309, 108]}, {\"cell\": \"0.007\", \"bbox\": [370, 101, 391, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 100, 466, 110]}, {\"cell\": \"Systolic BP (mmHg)\", \"bbox\": [0, 114, 65, 124]}, {\"cell\": \"118 (14)\", \"bbox\": [98, 114, 126, 124]}, {\"cell\": \"123 (16)\", \"bbox\": [156, 114, 184, 124]}, {\"cell\": \"118 (14)\", \"bbox\": [212, 114, 239, 124]}, {\"cell\": \"0.151\", \"bbox\": [289, 114, 307, 124]}, {\"cell\": \"0.982\", \"bbox\": [370, 114, 389, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 114, 466, 124]}, {\"cell\": \"Diastolic BP (mmHg)\", \"bbox\": [0, 128, 68, 138]}, {\"cell\": \"70 (9)\", \"bbox\": [98, 128, 118, 138]}, {\"cell\": \"82 (14)\", \"bbox\": [156, 128, 180, 138]}, {\"cell\": \"80 (9)\", \"bbox\": [212, 128, 232, 138]}, {\"cell\": \"0.000\", \"bbox\": [288, 129, 309, 136]}, {\"cell\": \"0.002\", \"bbox\": [370, 129, 391, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 128, 466, 138]}, {\"cell\": \"Aortic arch length (mm)\", \"bbox\": [0, 142, 80, 152]}, {\"cell\": \"97 (13)\", \"bbox\": [98, 142, 122, 152]}, {\"cell\": \"99 (15)\", \"bbox\": [156, 142, 180, 152]}, {\"cell\": \"110 (27)\", \"bbox\": [212, 142, 239, 152]}, {\"cell\": \"0.542\", \"bbox\": [289, 142, 307, 152]}, {\"cell\": \"0.021\", \"bbox\": [370, 143, 391, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 142, 466, 152]}, {\"cell\": \"Descending aorta (mm)\", \"bbox\": [0, 156, 79, 166]}, {\"cell\": \"108 (15)\", \"bbox\": [98, 156, 126, 166]}, {\"cell\": \"102 (13)\", \"bbox\": [156, 156, 184, 166]}, {\"cell\": \"96 (12)\", \"bbox\": [212, 156, 235, 166]}, {\"cell\": \"0.050\", \"bbox\": [289, 156, 307, 166]}, {\"cell\": \"0.009\", \"bbox\": [370, 157, 391, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 156, 466, 166]}, {\"cell\": \"Abdominal aorta (mm)\", \"bbox\": [0, 170, 76, 180]}, {\"cell\": \"170 (21)\", \"bbox\": [98, 170, 126, 180]}, {\"cell\": \"156 (21)\", \"bbox\": [156, 170, 184, 180]}, {\"cell\": \"163 (16)\", \"bbox\": [212, 170, 239, 180]}, {\"cell\": \"0.005\", \"bbox\": [288, 171, 309, 178]}, {\"cell\": \"0.235\", \"bbox\": [370, 170, 389, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 170, 466, 180]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5320803_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Algorithm NameMean Accuracy(Standard Deviation)Mean F1 (Standard Deviation)Rank
[EMPTY_CELL]0.776623 (0.002080)0.854157 (0.001626)1
[EMPTY_CELL]0.777774 (0.001545)0.852797 (0.002938)2
[EMPTY_CELL]0.770728 (0.002505)0.856341 (0.002405)3
[EMPTY_CELL]0.767623 (0.005490)0.853575 (0.004574)4
[EMPTY_CELL]0.749171 (0.005683)0.829826 (0.005544)5
[EMPTY_CELL]0.742125 (0.009821)0.825725 (0.008487)6
[EMPTY_CELL]0.737451 (0.003210)0.819065 (0.003840)7
[EMPTY_CELL]0.720535 (0.004787)0.804220 (0.003006)8
\", \"cells\": [{\"cell\": \"Algorithm Name\", \"bbox\": [43, 10, 114, 21]}, {\"cell\": \"Mean Accuracy(Standard Deviation)\", \"bbox\": [163, 5, 251, 27]}, {\"cell\": \"Mean F1 (Standard Deviation)\", \"bbox\": [266, 5, 354, 27]}, {\"cell\": \"Rank\", \"bbox\": [373, 10, 397, 21]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 32, 77, 43]}, {\"cell\": \"0.776623 (0.002080)\", \"bbox\": [168, 32, 246, 43]}, {\"cell\": \"0.854157 (0.001626)\", \"bbox\": [272, 32, 349, 43]}, {\"cell\": \"1\", \"bbox\": [382, 32, 388, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 43, 110, 54]}, {\"cell\": \"0.777774 (0.001545)\", \"bbox\": [168, 43, 246, 54]}, {\"cell\": \"0.852797 (0.002938)\", \"bbox\": [272, 43, 349, 54]}, {\"cell\": \"2\", \"bbox\": [382, 43, 388, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 54, 133, 65]}, {\"cell\": \"0.770728 (0.002505)\", \"bbox\": [168, 54, 246, 65]}, {\"cell\": \"0.856341 (0.002405)\", \"bbox\": [272, 54, 349, 65]}, {\"cell\": \"3\", \"bbox\": [382, 54, 388, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 65, 146, 76]}, {\"cell\": \"0.767623 (0.005490)\", \"bbox\": [168, 65, 246, 76]}, {\"cell\": \"0.853575 (0.004574)\", \"bbox\": [272, 65, 349, 76]}, {\"cell\": \"4\", \"bbox\": [382, 65, 388, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 76, 123, 87]}, {\"cell\": \"0.749171 (0.005683)\", \"bbox\": [168, 76, 246, 87]}, {\"cell\": \"0.829826 (0.005544)\", \"bbox\": [272, 76, 349, 87]}, {\"cell\": \"5\", \"bbox\": [382, 76, 388, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 87, 105, 98]}, {\"cell\": \"0.742125 (0.009821)\", \"bbox\": [168, 87, 246, 98]}, {\"cell\": \"0.825725 (0.008487)\", \"bbox\": [272, 87, 349, 98]}, {\"cell\": \"6\", \"bbox\": [382, 87, 388, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 98, 88, 109]}, {\"cell\": \"0.737451 (0.003210)\", \"bbox\": [168, 98, 246, 109]}, {\"cell\": \"0.819065 (0.003840)\", \"bbox\": [272, 98, 349, 109]}, {\"cell\": \"7\", \"bbox\": [382, 98, 388, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 109, 82, 120]}, {\"cell\": \"0.720535 (0.004787)\", \"bbox\": [168, 109, 246, 120]}, {\"cell\": \"0.804220 (0.003006)\", \"bbox\": [272, 109, 349, 120]}, {\"cell\": \"8\", \"bbox\": [382, 109, 388, 120]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5856112_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Total N = 37 (%) 100 %Group 1 N = 11 (%) 100 %Group 2 N = 4 (%) 100 %Group 3 N = 5 (%) 100 %Group 4 N = 17 (%) 100 %
Mean age (years)[EMPTY_CELL]31.5 ± 2.035 ± 4.029.6 ± 4.433.4 ± 1.6
Education
No schooling[EMPTY_CELL]5 (46)1 (25)3 (60)1 (6)
Primary[EMPTY_CELL]3 (27)1 (25)2 (40)1 (6)
Secondary[EMPTY_CELL]2 (18)2 (50)0 (0)7 (41)
Post-secondary[EMPTY_CELL]1 (9)0 (0)0 (0)8 (47)
Occupation
House wives[EMPTY_CELL]6 (55)1 (25)3 (60)5 (29)
Students[EMPTY_CELL]0 (0)0 (0)0 (0)3 (18)
Civil servant[EMPTY_CELL]0 (0)0 (0)0 (0)4 (24)
Private sector[EMPTY_CELL]5 (45)3 (75)2 (40)5 (29)
Sex
Male[EMPTY_CELL]0 (0)1 (25)1 (20)6 (35)
Female[EMPTY_CELL]11 (100)3 (75)4 (80)11 (65)
Marital status
Single[EMPTY_CELL]0 (0)0 (0)0 (0)1 (6)
Married/co-habiting[EMPTY_CELL]10 (90)2 (50)4 (80)15 (88)
Widowed/separated[EMPTY_CELL]1 (10)2 (50)1 (20)1 (6)
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Total N = 37 (%) 100 %\", \"bbox\": [91, 4, 144, 22]}, {\"cell\": \"Group 1 N = 11 (%) 100 %\", \"bbox\": [169, 4, 231, 22]}, {\"cell\": \"Group 2 N = 4 (%) 100 %\", \"bbox\": [256, 4, 314, 22]}, {\"cell\": \"Group 3 N = 5 (%) 100 %\", \"bbox\": [339, 4, 397, 22]}, {\"cell\": \"Group 4 N = 17 (%) 100 %\", \"bbox\": [422, 4, 484, 22]}, {\"cell\": \"Mean age (years)\", \"bbox\": [1, 26, 57, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 26, 123, 36]}, {\"cell\": \"31.5 ± 2.0\", \"bbox\": [169, 26, 200, 36]}, {\"cell\": \"35 ± 4.0\", \"bbox\": [256, 26, 282, 36]}, {\"cell\": \"29.6 ± 4.4\", \"bbox\": [339, 26, 370, 36]}, {\"cell\": \"33.4 ± 1.6\", \"bbox\": [422, 26, 454, 36]}, {\"cell\": \"Education\", \"bbox\": [1, 40, 34, 50]}, {\"cell\": \" No schooling\", \"bbox\": [8, 54, 53, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 54, 115, 64]}, {\"cell\": \"5 (46)\", \"bbox\": [169, 54, 189, 64]}, {\"cell\": \"1 (25)\", \"bbox\": [256, 54, 276, 64]}, {\"cell\": \"3 (60)\", \"bbox\": [339, 54, 359, 64]}, {\"cell\": \"1 (6)\", \"bbox\": [422, 54, 438, 64]}, {\"cell\": \" Primary\", \"bbox\": [8, 68, 34, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 68, 111, 78]}, {\"cell\": \"3 (27)\", \"bbox\": [169, 68, 189, 78]}, {\"cell\": \"1 (25)\", \"bbox\": [256, 68, 276, 78]}, {\"cell\": \"2 (40)\", \"bbox\": [339, 68, 359, 78]}, {\"cell\": \"1 (6)\", \"bbox\": [422, 68, 438, 78]}, {\"cell\": \" Secondary\", \"bbox\": [8, 82, 44, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 82, 115, 92]}, {\"cell\": \"2 (18)\", \"bbox\": [169, 82, 189, 92]}, {\"cell\": \"2 (50)\", \"bbox\": [256, 82, 276, 92]}, {\"cell\": \"0 (0)\", \"bbox\": [339, 82, 355, 92]}, {\"cell\": \"7 (41)\", \"bbox\": [422, 82, 442, 92]}, {\"cell\": \" Post-secondary\", \"bbox\": [8, 96, 59, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 96, 111, 106]}, {\"cell\": \"1 (9)\", \"bbox\": [169, 96, 185, 106]}, {\"cell\": \"0 (0)\", \"bbox\": [256, 96, 272, 106]}, {\"cell\": \"0 (0)\", \"bbox\": [339, 96, 355, 106]}, {\"cell\": \"8 (47)\", \"bbox\": [422, 96, 442, 106]}, {\"cell\": \"Occupation\", \"bbox\": [1, 110, 39, 120]}, {\"cell\": \" House wives\", \"bbox\": [8, 124, 51, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 124, 115, 134]}, {\"cell\": \"6 (55)\", \"bbox\": [169, 124, 189, 134]}, {\"cell\": \"1 (25)\", \"bbox\": [256, 124, 276, 134]}, {\"cell\": \"3 (60)\", \"bbox\": [339, 124, 359, 134]}, {\"cell\": \"5 (29)\", \"bbox\": [422, 124, 442, 134]}, {\"cell\": \" Students\", \"bbox\": [8, 138, 38, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 138, 108, 148]}, {\"cell\": \"0 (0)\", \"bbox\": [169, 138, 185, 148]}, {\"cell\": \"0 (0)\", \"bbox\": [256, 138, 272, 148]}, {\"cell\": \"0 (0)\", \"bbox\": [339, 138, 355, 148]}, {\"cell\": \"3 (18)\", \"bbox\": [422, 138, 442, 148]}, {\"cell\": \" Civil servant\", \"bbox\": [8, 152, 49, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 152, 111, 162]}, {\"cell\": \"0 (0)\", \"bbox\": [169, 152, 185, 162]}, {\"cell\": \"0 (0)\", \"bbox\": [256, 152, 272, 162]}, {\"cell\": \"0 (0)\", \"bbox\": [339, 152, 355, 162]}, {\"cell\": \"4 (24)\", \"bbox\": [422, 152, 442, 162]}, {\"cell\": \" Private sector\", \"bbox\": [8, 166, 53, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 166, 115, 176]}, {\"cell\": \"5 (45)\", \"bbox\": [169, 166, 189, 176]}, {\"cell\": \"3 (75)\", \"bbox\": [256, 166, 276, 176]}, {\"cell\": \"2 (40)\", \"bbox\": [339, 166, 359, 176]}, {\"cell\": \"5 (29)\", \"bbox\": [422, 166, 442, 176]}, {\"cell\": \"Sex\", \"bbox\": [1, 180, 13, 190]}, {\"cell\": \" Male\", \"bbox\": [8, 194, 26, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 194, 111, 204]}, {\"cell\": \"0 (0)\", \"bbox\": [169, 194, 185, 204]}, {\"cell\": \"1 (25)\", \"bbox\": [256, 194, 276, 204]}, {\"cell\": \"1 (20)\", \"bbox\": [339, 194, 359, 204]}, {\"cell\": \"6 (35)\", \"bbox\": [422, 194, 442, 204]}, {\"cell\": \" Female\", \"bbox\": [8, 208, 34, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 208, 115, 218]}, {\"cell\": \"11 (100)\", \"bbox\": [169, 208, 196, 218]}, {\"cell\": \"3 (75)\", \"bbox\": [256, 208, 276, 218]}, {\"cell\": \"4 (80)\", \"bbox\": [339, 208, 359, 218]}, {\"cell\": \"11 (65)\", \"bbox\": [422, 208, 446, 218]}, {\"cell\": \"Marital status\", \"bbox\": [1, 222, 45, 232]}, {\"cell\": \" Single\", \"bbox\": [8, 236, 30, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 236, 108, 246]}, {\"cell\": \"0 (0)\", \"bbox\": [169, 236, 185, 246]}, {\"cell\": \"0 (0)\", \"bbox\": [256, 236, 272, 246]}, {\"cell\": \"0 (0)\", \"bbox\": [339, 236, 355, 246]}, {\"cell\": \"1 (6)\", \"bbox\": [422, 236, 438, 246]}, {\"cell\": \"Married/co-habiting\", \"bbox\": [1, 250, 66, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 250, 115, 260]}, {\"cell\": \"10 (90)\", \"bbox\": [169, 250, 192, 260]}, {\"cell\": \"2 (50)\", \"bbox\": [256, 250, 276, 260]}, {\"cell\": \"4 (80)\", \"bbox\": [339, 250, 359, 260]}, {\"cell\": \"15 (88)\", \"bbox\": [422, 250, 446, 260]}, {\"cell\": \"Widowed/separated\", \"bbox\": [1, 264, 67, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 264, 111, 274]}, {\"cell\": \"1 (10)\", \"bbox\": [169, 264, 189, 274]}, {\"cell\": \"2 (50)\", \"bbox\": [256, 264, 276, 274]}, {\"cell\": \"1 (20)\", \"bbox\": [339, 264, 359, 274]}, {\"cell\": \"1 (6)\", \"bbox\": [422, 264, 438, 274]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4784410_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
PathwayTarget GenesPathway GenesRatioz-scoreB-H p valueTarget Gene ID’s
Complement9370.2431.414[EMPTY_CELL]C3, C1QA, C1QB, C1QC, C1S, CFD, CFH, ITGB2, SERPING1
Cholesterol Biosynthesis7280.250[EMPTY_CELL][EMPTY_CELL]CYP51A1, HMGCR, HMGCS1, HSD17B7, IDI1, LSS, SC5D
iCOS-iCOSL signaling T helper cell101080.093[EMPTY_CELL][EMPTY_CELL]CAMK2B, CD3G, FCER1G, HLA-DQA1, HLA-DQB1, HLA-DRA, HLA-DRB5, PDPK1, PLEKHA4, PTPRC
Cholesterol Biosynthesis I4130.308[EMPTY_CELL][EMPTY_CELL]CYP51A1, HSD17B7, LSS, SC5D
Cholesterol Biosynthesis II (via 24,25-dihydrolanosterol)4130.308[EMPTY_CELL][EMPTY_CELL]CYP51A1, HSD17B7, LSS, SC5D
Cholesterol Biosynthesis II (via desmosterol)4130.308[EMPTY_CELL][EMPTY_CELL]CYP51A1, HSD17B7, LSS, SC5D
Ca-induced T cell Apoptosis7640.109[EMPTY_CELL][EMPTY_CELL]CD3G, FCER1G, HLA-DQA1, HLA-DQB1, HLA-DRA, HLA-DRB5, PRKCE
OX40-signaling8890.090[EMPTY_CELL][EMPTY_CELL]CD3G, FCER1G, HLA-DQA1, HLA-DQB1, HLA-DRA, HLA-DRB5, RT1-EC2, TNFSF4
NFAT regulation of immune response111710.0641.89[EMPTY_CELL]BLNK, CD3G, FCER1G, FCGR2B, FCGR3A/FCGR3B, GNAS, GSK3B, HLA-DQA1, HLA-DQB1, HLA-DRA, HLA-DRB5
B Cell development5330.152[EMPTY_CELL][EMPTY_CELL]HLA-DQA1, HLA-DQB1, HLA-DRA, HLA-DRB5, PTPRC
Nur77 signaling in T cells6570.105[EMPTY_CELL][EMPTY_CELL]CD3G, FCER1G, HLA-DQA1, HLA-DQB1, HLA-DRA, HLA-DRB5
Cd28 signaling in T Helper Cells81180.068[EMPTY_CELL][EMPTY_CELL]CD3G, FCER1G, HLA-DQA1, HLA-DQB1, HLA-DRA, HLA-DRB5, PDPK1, PTPRC
PKC-τ signaling in T cells81180.0681.414[EMPTY_CELL]CAMK2B, CD3G, FCER1G, HLA-DQA1, HLA-DQB1, HLA-DRA, HLA-DRB5, MAP3K8
\", \"cells\": [{\"cell\": \"Pathway\", \"bbox\": [1, 4, 30, 13]}, {\"cell\": \"Target Genes\", \"bbox\": [129, 4, 151, 22]}, {\"cell\": \"Pathway Genes\", \"bbox\": [156, 4, 186, 22]}, {\"cell\": \"Ratio\", \"bbox\": [191, 4, 209, 13]}, {\"cell\": \"z-score\", \"bbox\": [215, 4, 239, 13]}, {\"cell\": \"B-H p value\", \"bbox\": [245, 4, 284, 13]}, {\"cell\": \"Target Gene ID’s\", \"bbox\": [289, 4, 344, 13]}, {\"cell\": \"Complement\", \"bbox\": [1, 26, 44, 36]}, {\"cell\": \"9\", \"bbox\": [129, 26, 135, 36]}, {\"cell\": \"37\", \"bbox\": [156, 26, 166, 36]}, {\"cell\": \"0.243\", \"bbox\": [191, 26, 210, 36]}, {\"cell\": \"1.414\", \"bbox\": [215, 26, 234, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 26, 279, 36]}, {\"cell\": \"C3, C1QA, C1QB, C1QC, C1S, CFD, CFH, ITGB2, SERPING1\", \"bbox\": [289, 26, 471, 36]}, {\"cell\": \"Cholesterol Biosynthesis\", \"bbox\": [1, 40, 79, 50]}, {\"cell\": \"7\", \"bbox\": [129, 40, 135, 50]}, {\"cell\": \"28\", \"bbox\": [156, 40, 166, 50]}, {\"cell\": \"0.250\", \"bbox\": [191, 40, 210, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 40, 279, 50]}, {\"cell\": \"CYP51A1, HMGCR, HMGCS1, HSD17B7, IDI1, LSS, SC5D\", \"bbox\": [289, 40, 464, 50]}, {\"cell\": \"iCOS-iCOSL signaling T helper cell\", \"bbox\": [1, 54, 111, 64]}, {\"cell\": \"10\", \"bbox\": [129, 54, 138, 64]}, {\"cell\": \"108\", \"bbox\": [156, 54, 170, 64]}, {\"cell\": \"0.093\", \"bbox\": [191, 54, 210, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 54, 279, 64]}, {\"cell\": \"CAMK2B, CD3G, FCER1G, HLA-DQA1, HLA-DQB1, HLA-DRA, HLA-DRB5, PDPK1, PLEKHA4, PTPRC\", \"bbox\": [289, 54, 446, 73]}, {\"cell\": \"Cholesterol Biosynthesis I\", \"bbox\": [1, 77, 83, 87]}, {\"cell\": \"4\", \"bbox\": [129, 77, 135, 87]}, {\"cell\": \"13\", \"bbox\": [156, 77, 166, 87]}, {\"cell\": \"0.308\", \"bbox\": [191, 77, 210, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 77, 279, 87]}, {\"cell\": \"CYP51A1, HSD17B7, LSS, SC5D\", \"bbox\": [289, 77, 388, 87]}, {\"cell\": \"Cholesterol Biosynthesis II (via 24,25-dihydrolanosterol)\", \"bbox\": [1, 91, 93, 110]}, {\"cell\": \"4\", \"bbox\": [129, 91, 135, 101]}, {\"cell\": \"13\", \"bbox\": [156, 91, 166, 101]}, {\"cell\": \"0.308\", \"bbox\": [191, 91, 210, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 91, 279, 101]}, {\"cell\": \"CYP51A1, HSD17B7, LSS, SC5D\", \"bbox\": [289, 91, 388, 101]}, {\"cell\": \"Cholesterol Biosynthesis II (via desmosterol)\", \"bbox\": [1, 114, 85, 133]}, {\"cell\": \"4\", \"bbox\": [129, 114, 135, 124]}, {\"cell\": \"13\", \"bbox\": [156, 114, 166, 124]}, {\"cell\": \"0.308\", \"bbox\": [191, 114, 210, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 114, 279, 124]}, {\"cell\": \"CYP51A1, HSD17B7, LSS, SC5D\", \"bbox\": [289, 114, 388, 124]}, {\"cell\": \"Ca-induced T cell Apoptosis\", \"bbox\": [1, 137, 92, 147]}, {\"cell\": \"7\", \"bbox\": [129, 137, 135, 147]}, {\"cell\": \"64\", \"bbox\": [156, 137, 166, 147]}, {\"cell\": \"0.109\", \"bbox\": [191, 137, 210, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 137, 279, 147]}, {\"cell\": \"CD3G, FCER1G, HLA-DQA1, HLA-DQB1, HLA-DRA, HLA-DRB5, PRKCE\", \"bbox\": [289, 137, 448, 156]}, {\"cell\": \"OX40-signaling\", \"bbox\": [1, 160, 51, 170]}, {\"cell\": \"8\", \"bbox\": [129, 160, 135, 170]}, {\"cell\": \"89\", \"bbox\": [156, 160, 166, 170]}, {\"cell\": \"0.090\", \"bbox\": [191, 160, 210, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 160, 279, 170]}, {\"cell\": \"CD3G, FCER1G, HLA-DQA1, HLA-DQB1, HLA-DRA, HLA-DRB5, RT1-EC2, TNFSF4\", \"bbox\": [289, 160, 448, 179]}, {\"cell\": \"NFAT regulation of immune response\", \"bbox\": [1, 183, 123, 193]}, {\"cell\": \"11\", \"bbox\": [129, 183, 138, 193]}, {\"cell\": \"171\", \"bbox\": [156, 183, 170, 193]}, {\"cell\": \"0.064\", \"bbox\": [191, 183, 210, 193]}, {\"cell\": \"1.89\", \"bbox\": [215, 183, 230, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 183, 279, 193]}, {\"cell\": \"BLNK, CD3G, FCER1G, FCGR2B, FCGR3A/FCGR3B, GNAS, GSK3B, HLA-DQA1, HLA-DQB1, HLA-DRA, HLA-DRB5\", \"bbox\": [289, 183, 467, 202]}, {\"cell\": \"B Cell development\", \"bbox\": [1, 206, 66, 216]}, {\"cell\": \"5\", \"bbox\": [129, 206, 135, 216]}, {\"cell\": \"33\", \"bbox\": [156, 206, 166, 216]}, {\"cell\": \"0.152\", \"bbox\": [191, 206, 210, 216]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 206, 279, 216]}, {\"cell\": \"HLA-DQA1, HLA-DQB1, HLA-DRA, HLA-DRB5, PTPRC\", \"bbox\": [289, 206, 457, 216]}, {\"cell\": \"Nur77 signaling in T cells\", \"bbox\": [1, 220, 83, 230]}, {\"cell\": \"6\", \"bbox\": [129, 220, 135, 230]}, {\"cell\": \"57\", \"bbox\": [156, 220, 166, 230]}, {\"cell\": \"0.105\", \"bbox\": [191, 220, 210, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 220, 279, 230]}, {\"cell\": \"CD3G, FCER1G, HLA-DQA1, HLA-DQB1, HLA-DRA, HLA-DRB5\", \"bbox\": [289, 220, 483, 230]}, {\"cell\": \"Cd28 signaling in T Helper Cells\", \"bbox\": [1, 234, 105, 244]}, {\"cell\": \"8\", \"bbox\": [129, 234, 135, 244]}, {\"cell\": \"118\", \"bbox\": [156, 234, 170, 244]}, {\"cell\": \"0.068\", \"bbox\": [191, 234, 210, 244]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 234, 279, 244]}, {\"cell\": \"CD3G, FCER1G, HLA-DQA1, HLA-DQB1, HLA-DRA, HLA-DRB5, PDPK1, PTPRC\", \"bbox\": [289, 234, 484, 253]}, {\"cell\": \"PKC-τ signaling in T cells\", \"bbox\": [1, 257, 82, 267]}, {\"cell\": \"8\", \"bbox\": [129, 257, 135, 267]}, {\"cell\": \"118\", \"bbox\": [156, 257, 170, 267]}, {\"cell\": \"0.068\", \"bbox\": [191, 257, 210, 267]}, {\"cell\": \"1.414\", \"bbox\": [215, 257, 234, 267]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 257, 279, 267]}, {\"cell\": \"CAMK2B, CD3G, FCER1G, HLA-DQA1, HLA-DQB1, HLA-DRA, HLA-DRB5, MAP3K8\", \"bbox\": [289, 257, 479, 276]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5390443_004_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
SpeciesNumber of occurrencesFr (%) 1RD (%) 2
[EMPTY_CELL]13.62.6
[EMPTY_CELL]1553.639.5
[EMPTY_CELL]13.62.6
[EMPTY_CELL]621.415.8
[EMPTY_CELL]414.310.5
[EMPTY_CELL]13.62.6
[EMPTY_CELL]27.15.3
[EMPTY_CELL]13.62.6
[EMPTY_CELL]13.62.6
[EMPTY_CELL]13.62.6
[EMPTY_CELL]13.62.6
[EMPTY_CELL]310.77.9
[EMPTY_CELL]13.62.6
\", \"cells\": [{\"cell\": \"Species\", \"bbox\": [66, 5, 102, 17]}, {\"cell\": \"Number of occurrences\", \"bbox\": [174, 5, 286, 17]}, {\"cell\": \"Fr (%) 1\", \"bbox\": [303, 4, 344, 17]}, {\"cell\": \"RD (%) 2\", \"bbox\": [361, 4, 407, 17]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 20, 134, 32]}, {\"cell\": \"1\", \"bbox\": [227, 20, 234, 32]}, {\"cell\": \"3.6\", \"bbox\": [316, 20, 332, 32]}, {\"cell\": \"2.6\", \"bbox\": [376, 20, 392, 32]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 34, 153, 46]}, {\"cell\": \"15\", \"bbox\": [224, 34, 237, 46]}, {\"cell\": \"53.6\", \"bbox\": [313, 34, 334, 46]}, {\"cell\": \"39.5\", \"bbox\": [373, 34, 395, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [55, 48, 113, 60]}, {\"cell\": \"1\", \"bbox\": [227, 48, 234, 60]}, {\"cell\": \"3.6\", \"bbox\": [316, 48, 332, 60]}, {\"cell\": \"2.6\", \"bbox\": [376, 48, 392, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 62, 122, 74]}, {\"cell\": \"6\", \"bbox\": [227, 62, 234, 74]}, {\"cell\": \"21.4\", \"bbox\": [313, 62, 334, 74]}, {\"cell\": \"15.8\", \"bbox\": [373, 62, 395, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [60, 76, 107, 88]}, {\"cell\": \"4\", \"bbox\": [227, 76, 234, 88]}, {\"cell\": \"14.3\", \"bbox\": [313, 76, 334, 88]}, {\"cell\": \"10.5\", \"bbox\": [373, 76, 395, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [54, 90, 113, 102]}, {\"cell\": \"1\", \"bbox\": [227, 90, 234, 102]}, {\"cell\": \"3.6\", \"bbox\": [316, 90, 332, 102]}, {\"cell\": \"2.6\", \"bbox\": [376, 90, 392, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [60, 104, 107, 116]}, {\"cell\": \"2\", \"bbox\": [227, 104, 234, 116]}, {\"cell\": \"7.1\", \"bbox\": [316, 104, 332, 116]}, {\"cell\": \"5.3\", \"bbox\": [376, 104, 392, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [27, 118, 141, 130]}, {\"cell\": \"1\", \"bbox\": [227, 118, 234, 130]}, {\"cell\": \"3.6\", \"bbox\": [316, 118, 332, 130]}, {\"cell\": \"2.6\", \"bbox\": [376, 118, 392, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [47, 132, 120, 144]}, {\"cell\": \"1\", \"bbox\": [227, 132, 234, 144]}, {\"cell\": \"3.6\", \"bbox\": [316, 132, 332, 144]}, {\"cell\": \"2.6\", \"bbox\": [376, 132, 392, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [54, 146, 113, 158]}, {\"cell\": \"1\", \"bbox\": [227, 146, 234, 158]}, {\"cell\": \"3.6\", \"bbox\": [316, 146, 332, 158]}, {\"cell\": \"2.6\", \"bbox\": [376, 146, 392, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [55, 160, 113, 172]}, {\"cell\": \"1\", \"bbox\": [227, 160, 234, 172]}, {\"cell\": \"3.6\", \"bbox\": [316, 160, 332, 172]}, {\"cell\": \"2.6\", \"bbox\": [376, 160, 392, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [50, 174, 117, 186]}, {\"cell\": \"3\", \"bbox\": [227, 174, 234, 186]}, {\"cell\": \"10.7\", \"bbox\": [313, 174, 334, 186]}, {\"cell\": \"7.9\", \"bbox\": [376, 174, 392, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [29, 188, 138, 200]}, {\"cell\": \"1\", \"bbox\": [227, 188, 234, 200]}, {\"cell\": \"3.6\", \"bbox\": [316, 188, 332, 200]}, {\"cell\": \"2.6\", \"bbox\": [376, 188, 392, 200]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4663522_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
SNPChrPositionLocationGenotypeCases No. (%)Controls No. (%)OR (95% CI)aPa
rs2302427[EMPTY_CELL]148525904Asp>HisCC670 (78.6)961 (73.8)1.00 (Reference)[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]CG173 (20.3)319 (24.5)0.78 (0.63-0.96)0.0198
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]GG9 (1.1)23 (1.8)0.54 (0.24-1.18)0.1224
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]CG+GG182 (21.4)342 (26.2)0.76 (0.62-0.94)0.0096
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]Additive model[EMPTY_CELL][EMPTY_CELL]0.77 (0.64-0.93)0.0068
\", \"cells\": [{\"cell\": \"SNP\", \"bbox\": [4, 6, 24, 16]}, {\"cell\": \"Chr\", \"bbox\": [58, 6, 78, 16]}, {\"cell\": \"Position\", \"bbox\": [96, 6, 132, 16]}, {\"cell\": \"Location\", \"bbox\": [144, 6, 184, 16]}, {\"cell\": \"Genotype\", \"bbox\": [191, 6, 235, 16]}, {\"cell\": \"Cases No. (%)\", \"bbox\": [245, 6, 289, 28]}, {\"cell\": \"Controls No. (%)\", \"bbox\": [300, 6, 375, 16]}, {\"cell\": \"OR (95% CI)a\", \"bbox\": [384, 5, 447, 16]}, {\"cell\": \"Pa\", \"bbox\": [469, 5, 480, 14]}, {\"cell\": \"rs2302427\", \"bbox\": [3, 41, 48, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 41, 71, 52]}, {\"cell\": \"148525904\", \"bbox\": [90, 41, 137, 52]}, {\"cell\": \"Asp>His\", \"bbox\": [145, 41, 183, 52]}, {\"cell\": \"CC\", \"bbox\": [205, 41, 221, 52]}, {\"cell\": \"670 (78.6)\", \"bbox\": [245, 41, 289, 52]}, {\"cell\": \"961 (73.8)\", \"bbox\": [316, 41, 359, 52]}, {\"cell\": \"1.00 (Reference)\", \"bbox\": [391, 35, 440, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CG\", \"bbox\": [205, 70, 221, 81]}, {\"cell\": \"173 (20.3)\", \"bbox\": [245, 70, 289, 81]}, {\"cell\": \"319 (24.5)\", \"bbox\": [316, 70, 359, 81]}, {\"cell\": \"0.78 (0.63-0.96)\", \"bbox\": [392, 64, 438, 87]}, {\"cell\": \"0.0198\", \"bbox\": [460, 70, 489, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"GG\", \"bbox\": [205, 99, 221, 110]}, {\"cell\": \"9 (1.1)\", \"bbox\": [252, 99, 281, 110]}, {\"cell\": \"23 (1.8)\", \"bbox\": [321, 99, 354, 110]}, {\"cell\": \"0.54 (0.24-1.18)\", \"bbox\": [392, 93, 438, 116]}, {\"cell\": \"0.1224\", \"bbox\": [460, 99, 489, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CG+GG\", \"bbox\": [195, 128, 231, 139]}, {\"cell\": \"182 (21.4)\", \"bbox\": [245, 128, 289, 139]}, {\"cell\": \"342 (26.2)\", \"bbox\": [316, 128, 359, 139]}, {\"cell\": \"0.76 (0.62-0.94)\", \"bbox\": [392, 122, 438, 145]}, {\"cell\": \"0.0096\", \"bbox\": [460, 128, 489, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Additive model\", \"bbox\": [194, 151, 231, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.77 (0.64-0.93)\", \"bbox\": [392, 151, 438, 174]}, {\"cell\": \"0.0068\", \"bbox\": [460, 157, 489, 168]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5706908_002_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Lifetime (days)Time between feeding(days)Ratio of weigh afterfeedingNumber of hatchedeggs (total number)
Female (MCc) n = 1[EMPTY_CELL]4 (3-7), a =132.0 (1.9-2.1), a= 130 (0)
Females (M) n = 14[EMPTY_CELL]6 (4-7), a =5121.0 (1.0-1.1), a= 512732 (1448)
MW U-test[EMPTY_CELL]W = 2969, p = 0.50W = 5, p < 0.001[EMPTY_CELL]
Male (CcChCc) n = 1[EMPTY_CELL]5 (3-10), a =591.2 (1.0-1.3), a= 59-
Males (M) n = 8[EMPTY_CELL]7 (4-7), a =1680.9 (0.9-1.0), a= 158-
MW U-test[EMPTY_CELL]W = 4914.5, p = 0.92W = 1635, p < 0.001[EMPTY_CELL]
Female A (Cc)[EMPTY_CELL]9 (3-13)1.4 (1.0-1.5)6 (13)
Female B (Cc)[EMPTY_CELL]5 (3-9)0.9 (0.8-0.9)0 (0)
Female C (M)[EMPTY_CELL]7 (4-10)1.6 (1.5-1.7)1 (28)
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Lifetime (days)\", \"bbox\": [111, 8, 145, 29]}, {\"cell\": \"Time between feeding(days)\", \"bbox\": [180, 8, 264, 29]}, {\"cell\": \"Ratio of weigh afterfeeding\", \"bbox\": [294, 8, 350, 29]}, {\"cell\": \"Number of hatchedeggs (total number)\", \"bbox\": [375, 8, 467, 29]}, {\"cell\": \"Female (MCc) n = 1\", \"bbox\": [1, 39, 76, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [123, 39, 133, 49]}, {\"cell\": \"4 (3-7), a =13\", \"bbox\": [196, 39, 249, 49]}, {\"cell\": \"2.0 (1.9-2.1), a= 13\", \"bbox\": [286, 39, 359, 49]}, {\"cell\": \"0 (0)\", \"bbox\": [412, 39, 430, 49]}, {\"cell\": \"Females (M) n = 14\", \"bbox\": [1, 51, 74, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 51, 154, 61]}, {\"cell\": \"6 (4-7), a =512\", \"bbox\": [194, 51, 251, 61]}, {\"cell\": \"1.0 (1.0-1.1), a= 512\", \"bbox\": [285, 51, 360, 61]}, {\"cell\": \"732 (1448)\", \"bbox\": [401, 51, 441, 61]}, {\"cell\": \"MW U-test\", \"bbox\": [1, 63, 44, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [125, 63, 130, 73]}, {\"cell\": \"W = 2969, p = 0.50\", \"bbox\": [186, 63, 258, 73]}, {\"cell\": \"W = 5, p < 0.001\", \"bbox\": [290, 63, 355, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Male (CcChCc) n = 1\", \"bbox\": [1, 83, 80, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 83, 135, 93]}, {\"cell\": \"5 (3-10), a =59\", \"bbox\": [194, 83, 251, 93]}, {\"cell\": \"1.2 (1.0-1.3), a= 59\", \"bbox\": [286, 83, 358, 93]}, {\"cell\": \"-\", \"bbox\": [419, 83, 424, 93]}, {\"cell\": \"Males (M) n = 8\", \"bbox\": [1, 95, 62, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 95, 154, 105]}, {\"cell\": \"7 (4-7), a =168\", \"bbox\": [193, 95, 251, 105]}, {\"cell\": \"0.9 (0.9-1.0), a= 158\", \"bbox\": [284, 95, 361, 105]}, {\"cell\": \"-\", \"bbox\": [419, 95, 424, 105]}, {\"cell\": \"MW U-test\", \"bbox\": [1, 107, 44, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [125, 107, 130, 117]}, {\"cell\": \"W = 4914.5, p = 0.92\", \"bbox\": [183, 107, 261, 117]}, {\"cell\": \"W = 1635, p < 0.001\", \"bbox\": [283, 107, 362, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Female A (Cc)\", \"bbox\": [1, 127, 55, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 127, 135, 137]}, {\"cell\": \"9 (3-13)\", \"bbox\": [207, 127, 237, 137]}, {\"cell\": \"1.4 (1.0-1.5)\", \"bbox\": [300, 127, 345, 137]}, {\"cell\": \"6 (13)\", \"bbox\": [410, 127, 432, 137]}, {\"cell\": \"Female B (Cc)\", \"bbox\": [1, 139, 55, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 139, 135, 149]}, {\"cell\": \"5 (3-9)\", \"bbox\": [209, 139, 235, 149]}, {\"cell\": \"0.9 (0.8-0.9)\", \"bbox\": [299, 139, 346, 149]}, {\"cell\": \"0 (0)\", \"bbox\": [412, 139, 430, 149]}, {\"cell\": \"Female C (M)\", \"bbox\": [1, 151, 54, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [120, 151, 136, 161]}, {\"cell\": \"7 (4-10)\", \"bbox\": [207, 151, 237, 161]}, {\"cell\": \"1.6 (1.5-1.7)\", \"bbox\": [300, 151, 345, 161]}, {\"cell\": \"1 (28)\", \"bbox\": [409, 151, 433, 161]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5066326_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
StudyNumber of patients TAVILogistic EuroSCORESTS SCORE30-day outccomes
(%)*(%)*MortalityStrokeVascular complicationHeart block
TFTATotalTFTATFTATFTATFTATFTATFTA
Rafal Dworakowski [1]678415119.4 ± 1.123.4 ± 1.5--411541123[EMPTY_CELL]
Peter Wenaweser [2]27437022.8 ± 13.026.1 ±14.36.3 ± 4.06.3 ± 5.53401--3[EMPTY_CELL]
Cosmo Godino [3]1071522226.6 ± 1632.2 ± 237 ± 4.98.3 ± 4.212-----[EMPTY_CELL]
He’ le ‘ ne Eltchaninoff [4]16171232----181272-[EMPTY_CELL]22[EMPTY_CELL]
Johan M. Bosmans [5]998818729 ± 1533 ± 17--5227---4[EMPTY_CELL]
Matthias Thielmann [6]15243912.7 ± 0.916.7 ± 4.415.1 ± 4.19.9 ± 7.525[EMPTY_CELL][EMPTY_CELL]-[EMPTY_CELL]-[EMPTY_CELL]
Nawwar Al-Attar [7]351550----34[EMPTY_CELL][EMPTY_CELL]---[EMPTY_CELL]
Mark D. Osten [8]163046-[EMPTY_CELL]--1212--1[EMPTY_CELL]
Ronen Gurvitch [9]169101270----13137214410[EMPTY_CELL]
ZHAO Quan-ming [10]28204820.6 ± 15.817.3 ± 16.1--14----[EMPTY_CELL][EMPTY_CELL]
Miriam Puls [11]8397180----42[EMPTY_CELL]---37[EMPTY_CELL]
KONSTANTINOS SPARGIAS [12]59329126 ± 1227 ± 15[EMPTY_CELL]-1254---[EMPTY_CELL]
GERHARD SCHYMIK [13]17412630021.9 15.927.0 18.0--135-----[EMPTY_CELL]
Martine Gilard [14]2361567292821.2 ± 14.724.8 ± 1714.5 ± 11.915.1 ±38.819077-----[EMPTY_CELL]
Himbert [15]51247525 ±1328 ± 1315 ± 718 ± 944310623[EMPTY_CELL]
Rodés-Cabau [16]168177345--9.0 ±5.810.5 ± 6.9162053--6[EMPTY_CELL]
Malin Johansson [17]10304025.6 ±1523.5 ± 17--2221--0[EMPTY_CELL]
Martyn Thomasp [18]463575103825.7 ± 14.529.1 ± 16.3--295911161062731[EMPTY_CELL]
ThierryLefe’ vre [19]616913025.7 ± 11.533.8 ±14.411.3 ± 6.111.8 ± 6.853211731[EMPTY_CELL]
John G. Webb [20]11355168----91061925[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Study\", \"bbox\": [1, 4, 22, 13]}, {\"cell\": \"Number of patients TAVI\", \"bbox\": [110, 4, 158, 22]}, {\"cell\": \"Logistic EuroSCORE\", \"bbox\": [170, 4, 240, 13]}, {\"cell\": \"STS SCORE\", \"bbox\": [264, 4, 303, 13]}, {\"cell\": \"30-day outccomes\", \"bbox\": [372, 4, 437, 13]}, {\"cell\": \"(%)*\", \"bbox\": [196, 17, 213, 27]}, {\"cell\": \"(%)*\", \"bbox\": [275, 17, 292, 27]}, {\"cell\": \"Mortality\", \"bbox\": [325, 17, 358, 27]}, {\"cell\": \"Stroke\", \"bbox\": [363, 17, 387, 27]}, {\"cell\": \"Vascular complication\", \"bbox\": [392, 17, 438, 36]}, {\"cell\": \"Heart block\", \"bbox\": [442, 17, 484, 27]}, {\"cell\": \"TF\", \"bbox\": [109, 39, 119, 49]}, {\"cell\": \"TA\", \"bbox\": [127, 39, 139, 49]}, {\"cell\": \"Total\", \"bbox\": [144, 39, 163, 49]}, {\"cell\": \"TF\", \"bbox\": [180, 39, 190, 49]}, {\"cell\": \"TA\", \"bbox\": [219, 39, 230, 49]}, {\"cell\": \"TF\", \"bbox\": [259, 39, 269, 49]}, {\"cell\": \"TA\", \"bbox\": [298, 39, 309, 49]}, {\"cell\": \"TF\", \"bbox\": [327, 39, 338, 49]}, {\"cell\": \"TA\", \"bbox\": [346, 39, 357, 49]}, {\"cell\": \"TF\", \"bbox\": [362, 39, 372, 49]}, {\"cell\": \"TA\", \"bbox\": [376, 39, 387, 49]}, {\"cell\": \"TF\", \"bbox\": [398, 39, 408, 49]}, {\"cell\": \"TA\", \"bbox\": [423, 39, 434, 49]}, {\"cell\": \"TF\", \"bbox\": [446, 39, 457, 49]}, {\"cell\": \"TA\", \"bbox\": [469, 39, 480, 49]}, {\"cell\": \"Rafal Dworakowski [1]\", \"bbox\": [1, 52, 72, 62]}, {\"cell\": \"67\", \"bbox\": [109, 52, 118, 62]}, {\"cell\": \"84\", \"bbox\": [128, 52, 138, 62]}, {\"cell\": \"151\", \"bbox\": [147, 52, 160, 62]}, {\"cell\": \"19.4 ± 1.1\", \"bbox\": [169, 52, 201, 62]}, {\"cell\": \"23.4 ± 1.5\", \"bbox\": [209, 52, 240, 62]}, {\"cell\": \"-\", \"bbox\": [262, 52, 266, 62]}, {\"cell\": \"-\", \"bbox\": [301, 52, 305, 62]}, {\"cell\": \"4\", \"bbox\": [330, 52, 335, 62]}, {\"cell\": \"11\", \"bbox\": [346, 52, 356, 62]}, {\"cell\": \"5\", \"bbox\": [364, 52, 370, 62]}, {\"cell\": \"4\", \"bbox\": [379, 52, 385, 62]}, {\"cell\": \"11\", \"bbox\": [398, 52, 408, 62]}, {\"cell\": \"2\", \"bbox\": [425, 52, 431, 62]}, {\"cell\": \"3\", \"bbox\": [449, 52, 454, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 52, 478, 62]}, {\"cell\": \"Peter Wenaweser [2]\", \"bbox\": [1, 66, 68, 76]}, {\"cell\": \"27\", \"bbox\": [109, 66, 118, 76]}, {\"cell\": \"43\", \"bbox\": [128, 66, 138, 76]}, {\"cell\": \"70\", \"bbox\": [149, 66, 158, 76]}, {\"cell\": \"22.8 ± 13.0\", \"bbox\": [167, 66, 203, 76]}, {\"cell\": \"26.1 ±14.3\", \"bbox\": [207, 66, 242, 76]}, {\"cell\": \"6.3 ± 4.0\", \"bbox\": [250, 66, 278, 76]}, {\"cell\": \"6.3 ± 5.5\", \"bbox\": [289, 66, 317, 76]}, {\"cell\": \"3\", \"bbox\": [330, 66, 335, 76]}, {\"cell\": \"4\", \"bbox\": [348, 66, 354, 76]}, {\"cell\": \"0\", \"bbox\": [364, 66, 370, 76]}, {\"cell\": \"1\", \"bbox\": [379, 66, 385, 76]}, {\"cell\": \"-\", \"bbox\": [401, 66, 405, 76]}, {\"cell\": \"-\", \"bbox\": [426, 66, 430, 76]}, {\"cell\": \"3\", \"bbox\": [449, 66, 454, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 66, 478, 76]}, {\"cell\": \"Cosmo Godino [3]\", \"bbox\": [1, 80, 61, 90]}, {\"cell\": \"107\", \"bbox\": [107, 80, 120, 90]}, {\"cell\": \"15\", \"bbox\": [128, 80, 138, 90]}, {\"cell\": \"222\", \"bbox\": [147, 80, 160, 90]}, {\"cell\": \"26.6 ± 16\", \"bbox\": [170, 80, 200, 90]}, {\"cell\": \"32.2 ± 23\", \"bbox\": [209, 80, 240, 90]}, {\"cell\": \"7 ± 4.9\", \"bbox\": [253, 80, 275, 90]}, {\"cell\": \"8.3 ± 4.2\", \"bbox\": [289, 80, 317, 90]}, {\"cell\": \"1\", \"bbox\": [330, 80, 335, 90]}, {\"cell\": \"2\", \"bbox\": [348, 80, 354, 90]}, {\"cell\": \"-\", \"bbox\": [365, 80, 369, 90]}, {\"cell\": \"-\", \"bbox\": [380, 80, 384, 90]}, {\"cell\": \"-\", \"bbox\": [401, 80, 405, 90]}, {\"cell\": \"-\", \"bbox\": [426, 80, 430, 90]}, {\"cell\": \"-\", \"bbox\": [449, 80, 454, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 80, 477, 90]}, {\"cell\": \"He’ le ‘ ne Eltchaninoff [4]\", \"bbox\": [1, 94, 85, 104]}, {\"cell\": \"161\", \"bbox\": [107, 94, 120, 104]}, {\"cell\": \"71\", \"bbox\": [128, 94, 138, 104]}, {\"cell\": \"232\", \"bbox\": [147, 94, 160, 104]}, {\"cell\": \"-\", \"bbox\": [183, 94, 187, 104]}, {\"cell\": \"-\", \"bbox\": [222, 94, 227, 104]}, {\"cell\": \"-\", \"bbox\": [262, 94, 266, 104]}, {\"cell\": \"-\", \"bbox\": [301, 94, 305, 104]}, {\"cell\": \"18\", \"bbox\": [328, 94, 337, 104]}, {\"cell\": \"12\", \"bbox\": [346, 94, 356, 104]}, {\"cell\": \"7\", \"bbox\": [364, 94, 370, 104]}, {\"cell\": \"2\", \"bbox\": [379, 94, 385, 104]}, {\"cell\": \"-\", \"bbox\": [401, 94, 405, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"22\", \"bbox\": [447, 94, 456, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 94, 478, 104]}, {\"cell\": \"Johan M. 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[209, 276, 240, 286]}, {\"cell\": \"-\", \"bbox\": [262, 276, 266, 286]}, {\"cell\": \"-\", \"bbox\": [301, 276, 305, 286]}, {\"cell\": \"2\", \"bbox\": [330, 276, 335, 286]}, {\"cell\": \"2\", \"bbox\": [348, 276, 354, 286]}, {\"cell\": \"2\", \"bbox\": [364, 276, 370, 286]}, {\"cell\": \"1\", \"bbox\": [379, 276, 385, 286]}, {\"cell\": \"-\", \"bbox\": [401, 276, 405, 286]}, {\"cell\": \"-\", \"bbox\": [426, 276, 430, 286]}, {\"cell\": \"0\", \"bbox\": [449, 276, 454, 286]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 276, 478, 286]}, {\"cell\": \"Martyn Thomasp [18]\", \"bbox\": [0, 290, 71, 300]}, {\"cell\": \"463\", \"bbox\": [107, 290, 120, 300]}, {\"cell\": \"575\", \"bbox\": [126, 290, 140, 300]}, {\"cell\": \"1038\", \"bbox\": [145, 290, 162, 300]}, {\"cell\": \"25.7 ± 14.5\", \"bbox\": [167, 290, 203, 300]}, {\"cell\": \"29.1 ± 16.3\", \"bbox\": [207, 290, 242, 300]}, {\"cell\": \"-\", \"bbox\": [262, 290, 266, 300]}, {\"cell\": \"-\", \"bbox\": [301, 290, 305, 300]}, {\"cell\": \"29\", \"bbox\": [328, 290, 337, 300]}, {\"cell\": \"59\", \"bbox\": [346, 290, 356, 300]}, {\"cell\": \"11\", \"bbox\": [362, 290, 372, 300]}, {\"cell\": \"16\", \"bbox\": [377, 290, 387, 300]}, {\"cell\": \"106\", \"bbox\": [396, 290, 409, 300]}, {\"cell\": \"27\", \"bbox\": [423, 290, 433, 300]}, {\"cell\": \"31\", \"bbox\": [447, 290, 456, 300]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [470, 290, 479, 300]}, {\"cell\": \"ThierryLefe’ vre [19]\", \"bbox\": [1, 304, 65, 314]}, {\"cell\": \"61\", \"bbox\": [109, 304, 118, 314]}, {\"cell\": \"69\", \"bbox\": [128, 304, 138, 314]}, {\"cell\": \"130\", \"bbox\": [147, 304, 160, 314]}, {\"cell\": \"25.7 ± 11.5\", \"bbox\": [167, 304, 203, 314]}, {\"cell\": \"33.8 ±14.4\", \"bbox\": [207, 304, 242, 314]}, {\"cell\": \"11.3 ± 6.1\", \"bbox\": [248, 304, 280, 314]}, {\"cell\": \"11.8 ± 6.8\", \"bbox\": [287, 304, 319, 314]}, {\"cell\": \"5\", \"bbox\": [330, 304, 335, 314]}, {\"cell\": \"3\", \"bbox\": [348, 304, 354, 314]}, {\"cell\": \"2\", \"bbox\": [364, 304, 370, 314]}, {\"cell\": \"1\", \"bbox\": [379, 304, 385, 314]}, {\"cell\": \"17\", \"bbox\": [398, 304, 408, 314]}, {\"cell\": \"3\", \"bbox\": [425, 304, 431, 314]}, {\"cell\": \"1\", \"bbox\": [449, 304, 454, 314]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 304, 478, 314]}, {\"cell\": \"John G. Webb [20]\", \"bbox\": [1, 318, 62, 328]}, {\"cell\": \"113\", \"bbox\": [107, 318, 120, 328]}, {\"cell\": \"55\", \"bbox\": [128, 318, 138, 328]}, {\"cell\": \"168\", \"bbox\": [147, 318, 160, 328]}, {\"cell\": \"-\", \"bbox\": [183, 318, 187, 328]}, {\"cell\": \"-\", \"bbox\": [222, 318, 227, 328]}, {\"cell\": \"-\", \"bbox\": [262, 318, 266, 328]}, {\"cell\": \"-\", \"bbox\": [301, 318, 305, 328]}, {\"cell\": \"9\", \"bbox\": [330, 318, 335, 328]}, {\"cell\": \"10\", \"bbox\": [346, 318, 356, 328]}, {\"cell\": \"6\", \"bbox\": [364, 318, 370, 328]}, {\"cell\": \"1\", \"bbox\": [379, 318, 385, 328]}, {\"cell\": \"9\", \"bbox\": [400, 318, 406, 328]}, {\"cell\": \"2\", \"bbox\": [425, 318, 431, 328]}, {\"cell\": \"5\", \"bbox\": [449, 318, 454, 328]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 318, 478, 328]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3722124_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]21 days35 days50 days100 days
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]30.0 ± 1.4167 ± 27288 ± 17409 ± 20
[EMPTY_CELL]36.0 ± 2.1207 ± 16319 ± 24429 ± 19
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]0.51 ± 0.031.27 ± 0.201.48 ± 0.081.31 ± 0.07
[EMPTY_CELL]0.65 ± 0.04*1.56 ± 0.131.65 ± 0.101.39 ± 0.04
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]39.5 ± 2.3230.4 ± 5.2218.3 ± 3.710.22 ± 0.22
[EMPTY_CELL]40.0 ± 4.6830.2 ± 5.7822.7 ± 3.160.40 ± 0.40
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]24.5 ± 1.6538.2 ± 4.1741.1 ± 3.4057.3 ± 5.21
[EMPTY_CELL]25.9 ± 2.5233.5 ± 4.0846.6 ± 7.3161.8 ± 5.41
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]8.0 ± 1.8714.9 ± 1.0810.1 ± 2.040.2 ± 0.22
[EMPTY_CELL]5.7 ± 1.2013.7 ± 1.658.9 ± 1.050.2 ± 0.20
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]030.1 ± 4.5843.4 ± 5.7442.7 ± 6.41
[EMPTY_CELL]039.0 ± 7.2942.9 ± 4.4346.2 ± 8.64
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"21 days\", \"bbox\": [232, 4, 259, 14]}, {\"cell\": \"35 days\", \"bbox\": [307, 4, 334, 14]}, {\"cell\": \"50 days\", \"bbox\": [380, 4, 407, 14]}, {\"cell\": \"100 days\", \"bbox\": [449, 4, 481, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 27, 74, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 37, 53, 47]}, {\"cell\": \"30.0 ± 1.4\", \"bbox\": [228, 37, 264, 47]}, {\"cell\": \"167 ± 27\", \"bbox\": [305, 37, 337, 47]}, {\"cell\": \"288 ± 17\", \"bbox\": [377, 37, 409, 47]}, {\"cell\": \"409 ± 20\", \"bbox\": [449, 37, 481, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 47, 40, 57]}, {\"cell\": \"36.0 ± 2.1\", \"bbox\": [228, 47, 264, 57]}, {\"cell\": \"207 ± 16\", \"bbox\": [305, 47, 337, 57]}, {\"cell\": \"319 ± 24\", \"bbox\": [377, 47, 409, 57]}, {\"cell\": \"429 ± 19\", \"bbox\": [449, 47, 481, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 57, 95, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 68, 53, 77]}, {\"cell\": \"0.51 ± 0.03\", \"bbox\": [226, 68, 266, 77]}, {\"cell\": \"1.27 ± 0.20\", \"bbox\": [301, 68, 341, 77]}, {\"cell\": \"1.48 ± 0.08\", \"bbox\": [373, 68, 413, 77]}, {\"cell\": \"1.31 ± 0.07\", \"bbox\": [445, 68, 485, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 78, 40, 88]}, {\"cell\": \"0.65 ± 0.04*\", \"bbox\": [224, 78, 267, 88]}, {\"cell\": \"1.56 ± 0.13\", \"bbox\": [301, 78, 341, 88]}, {\"cell\": \"1.65 ± 0.10\", \"bbox\": [373, 78, 413, 88]}, {\"cell\": \"1.39 ± 0.04\", \"bbox\": [445, 78, 485, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 88, 128, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 98, 70, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 109, 53, 118]}, {\"cell\": \"39.5 ± 2.32\", \"bbox\": [226, 109, 266, 118]}, {\"cell\": \"30.4 ± 5.22\", \"bbox\": [301, 109, 341, 118]}, {\"cell\": \"18.3 ± 3.71\", \"bbox\": [373, 109, 413, 118]}, {\"cell\": \"0.22 ± 0.22\", \"bbox\": [445, 109, 485, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 119, 40, 129]}, {\"cell\": \"40.0 ± 4.68\", \"bbox\": [226, 119, 266, 129]}, {\"cell\": \"30.2 ± 5.78\", \"bbox\": [301, 119, 341, 129]}, {\"cell\": \"22.7 ± 3.16\", \"bbox\": [373, 119, 413, 129]}, {\"cell\": \"0.40 ± 0.40\", \"bbox\": [445, 119, 485, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 129, 67, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 139, 53, 149]}, {\"cell\": \"24.5 ± 1.65\", \"bbox\": [226, 139, 266, 149]}, {\"cell\": \"38.2 ± 4.17\", \"bbox\": [301, 139, 341, 149]}, {\"cell\": \"41.1 ± 3.40\", \"bbox\": [373, 139, 413, 149]}, {\"cell\": \"57.3 ± 5.21\", \"bbox\": [445, 139, 485, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 150, 40, 159]}, {\"cell\": \"25.9 ± 2.52\", \"bbox\": [226, 150, 266, 159]}, {\"cell\": \"33.5 ± 4.08\", \"bbox\": [301, 150, 341, 159]}, {\"cell\": \"46.6 ± 7.31\", \"bbox\": [373, 150, 413, 159]}, {\"cell\": \"61.8 ± 5.41\", \"bbox\": [445, 150, 485, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 160, 66, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 170, 53, 180]}, {\"cell\": \"8.0 ± 1.87\", \"bbox\": [228, 170, 264, 180]}, {\"cell\": \"14.9 ± 1.08\", \"bbox\": [301, 170, 341, 180]}, {\"cell\": \"10.1 ± 2.04\", \"bbox\": [373, 170, 413, 180]}, {\"cell\": \"0.2 ± 0.22\", \"bbox\": [447, 170, 483, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 180, 40, 190]}, {\"cell\": \"5.7 ± 1.20\", \"bbox\": [228, 180, 264, 190]}, {\"cell\": \"13.7 ± 1.65\", \"bbox\": [301, 180, 341, 190]}, {\"cell\": \"8.9 ± 1.05\", \"bbox\": [375, 180, 411, 190]}, {\"cell\": \"0.2 ± 0.20\", \"bbox\": [447, 180, 483, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 191, 73, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 201, 53, 211]}, {\"cell\": \"0\", \"bbox\": [243, 201, 249, 211]}, {\"cell\": \"30.1 ± 4.58\", \"bbox\": [301, 201, 341, 211]}, {\"cell\": \"43.4 ± 5.74\", \"bbox\": [373, 201, 413, 211]}, {\"cell\": \"42.7 ± 6.41\", \"bbox\": [445, 201, 485, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 211, 40, 221]}, {\"cell\": \"0\", \"bbox\": [243, 211, 249, 221]}, {\"cell\": \"39.0 ± 7.29\", \"bbox\": [301, 211, 341, 221]}, {\"cell\": \"42.9 ± 4.43\", \"bbox\": [373, 211, 413, 221]}, {\"cell\": \"46.2 ± 8.64\", \"bbox\": [445, 211, 485, 221]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2200869_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL][EMPTY_CELL]Interindividual associations between covariables and lnTnT (OLS)Intraindividual associations between covariables and lnTnT (LMM)
[EMPTY_CELL][EMPTY_CELL]Index admission in 99 patients161 repeat admissions in 41 patients
CovariableChange in covariableexp(β) (95% CI)p-valueexp(β) (95% CI)p-value
MAP+5 mmHg[EMPTY_CELL]0.9441.003 (0.98 – 1.03)0.792
Creatinine+10 μmol/L[EMPTY_CELL]0.0041.10 (1.04 – 1.16)0.0004
CRP+10 mg/L[EMPTY_CELL]0.6801.005 (0.99 – 1.02)0.478
Neutrophil count+5x109/mL[EMPTY_CELL]0.5551.005 (0.99 – 1.02)0.468
Hemoglobin+1 g/L[EMPTY_CELL]0.4771.03 (0.68 – 1.6)0.902
Heart rate+5 bpm[EMPTY_CELL]0.3921.02 (0.998 – 1.04)0.078
PaCO2*+1 kPa[EMPTY_CELL]0.1951.05 (0.98 – 1.12)0.144
PaO2*+1 kPa[EMPTY_CELL]0.5730.96 (0.94 – 0.99)0.008
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Interindividual associations between covariables and lnTnT (OLS)\", \"bbox\": [168, 4, 296, 22]}, {\"cell\": \"Intraindividual associations between covariables and lnTnT (LMM)\", \"bbox\": [335, 4, 463, 22]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Index admission in 99 patients\", \"bbox\": [168, 26, 276, 35]}, {\"cell\": \"161 repeat admissions in 41 patients\", \"bbox\": [335, 26, 464, 35]}, {\"cell\": \"Covariable\", \"bbox\": [1, 39, 39, 48]}, {\"cell\": \"Change in covariable\", \"bbox\": [75, 39, 150, 48]}, {\"cell\": \"exp(β) (95% CI)\", \"bbox\": [168, 39, 223, 48]}, {\"cell\": \"p-value\", \"bbox\": [269, 39, 297, 48]}, {\"cell\": \"exp(β) (95% CI)\", \"bbox\": [335, 39, 389, 48]}, {\"cell\": \"p-value\", \"bbox\": [457, 39, 484, 48]}, {\"cell\": \"MAP\", \"bbox\": [1, 52, 17, 62]}, {\"cell\": \"+5 mmHg\", \"bbox\": [75, 52, 110, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [168, 52, 231, 62]}, {\"cell\": \"0.944\", \"bbox\": [269, 52, 288, 62]}, {\"cell\": \"1.003 (0.98 – 1.03)\", \"bbox\": [335, 52, 394, 62]}, {\"cell\": \"0.792\", \"bbox\": [466, 52, 484, 62]}, {\"cell\": \"Creatinine\", \"bbox\": [1, 66, 35, 75]}, {\"cell\": \"+10 μmol/L\", \"bbox\": [75, 66, 115, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [168, 66, 224, 75]}, {\"cell\": \"0.004\", \"bbox\": [269, 66, 288, 75]}, {\"cell\": \"1.10 (1.04 – 1.16)\", \"bbox\": [335, 66, 390, 75]}, {\"cell\": \"0.0004\", \"bbox\": [462, 66, 484, 75]}, {\"cell\": \"CRP\", \"bbox\": [1, 80, 15, 89]}, {\"cell\": \"+10 mg/L\", \"bbox\": [75, 80, 109, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [168, 80, 224, 89]}, {\"cell\": \"0.680\", \"bbox\": [269, 80, 288, 89]}, {\"cell\": \"1.005 (0.99 – 1.02)\", \"bbox\": [335, 80, 394, 89]}, {\"cell\": \"0.478\", \"bbox\": [466, 80, 484, 89]}, {\"cell\": \"Neutrophil count\", \"bbox\": [1, 94, 57, 103]}, {\"cell\": \"+5x109/mL\", \"bbox\": [75, 92, 112, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [168, 94, 224, 103]}, {\"cell\": \"0.555\", \"bbox\": [269, 94, 288, 103]}, {\"cell\": \"1.005 (0.99 – 1.02)\", \"bbox\": [335, 94, 394, 103]}, {\"cell\": \"0.468\", \"bbox\": [466, 94, 484, 103]}, {\"cell\": \"Hemoglobin\", \"bbox\": [1, 108, 42, 117]}, {\"cell\": \"+1 g/L\", \"bbox\": [75, 108, 99, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [168, 108, 224, 117]}, {\"cell\": \"0.477\", \"bbox\": [269, 108, 288, 117]}, {\"cell\": \"1.03 (0.68 – 1.6)\", \"bbox\": [335, 108, 386, 117]}, {\"cell\": \"0.902\", \"bbox\": [466, 108, 484, 117]}, {\"cell\": \"Heart rate\", \"bbox\": [1, 122, 34, 131]}, {\"cell\": \"+5 bpm\", \"bbox\": [75, 122, 103, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [168, 122, 224, 131]}, {\"cell\": \"0.392\", \"bbox\": [269, 122, 288, 131]}, {\"cell\": \"1.02 (0.998 – 1.04)\", \"bbox\": [335, 122, 394, 131]}, {\"cell\": \"0.078\", \"bbox\": [466, 122, 484, 131]}, {\"cell\": \"PaCO2*\", \"bbox\": [1, 136, 26, 146]}, {\"cell\": \"+1 kPa\", \"bbox\": [75, 136, 99, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [168, 136, 224, 145]}, {\"cell\": \"0.195\", \"bbox\": [269, 136, 288, 145]}, {\"cell\": \"1.05 (0.98 – 1.12)\", \"bbox\": [335, 136, 390, 145]}, {\"cell\": \"0.144\", \"bbox\": [466, 136, 484, 145]}, {\"cell\": \"PaO2*\", \"bbox\": [1, 150, 21, 160]}, {\"cell\": \"+1 kPa\", \"bbox\": [75, 150, 99, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [168, 150, 224, 159]}, {\"cell\": \"0.573\", \"bbox\": [269, 150, 288, 159]}, {\"cell\": \"0.96 (0.94 – 0.99)\", \"bbox\": [335, 150, 390, 159]}, {\"cell\": \"0.008\", \"bbox\": [466, 150, 484, 159]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3391169_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Function annotationGene numberSpot No.P-value
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]99, 17, 26, 6, 4, 19, 10, 27, 111.1E-5
[EMPTY_CELL]1029, 3, 9, 17, 26, 11, 6, 4, 19, 273.9E-4
[EMPTY_CELL]729, 25, 3, 9, 8, 28, 74.4E-3
[EMPTY_CELL]529, 25, 9, 28, 75.0E-3
[EMPTY_CELL]59, 26, 8, 28, 71.4E-5
[EMPTY_CELL]511, 27, 4, 19, 103.9E-4
[EMPTY_CELL]53, 23, 8, 28, 71.3E-2
[EMPTY_CELL]43, 17, 26, 61.5E-4
[EMPTY_CELL]29, 82E-4
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]89, 17, 26, 11, 15, 27, 4, 194.4E-5
[EMPTY_CELL]517, 11, 6, 26, 192.0E-2
[EMPTY_CELL]51, 12, 8, 28, 78.5E-3
[EMPTY_CELL]425, 8, 28, 71.1E-4
[EMPTY_CELL]39, 2, 183.7E-2
[EMPTY_CELL]218, 21.0E-2
[EMPTY_CELL]217, 261.2E-2
\", \"cells\": [{\"cell\": \"Function annotation\", \"bbox\": [1, 4, 73, 13]}, {\"cell\": \"Gene number\", \"bbox\": [105, 4, 135, 22]}, {\"cell\": \"Spot No.\", \"bbox\": [139, 4, 171, 13]}, {\"cell\": \"P-value\", \"bbox\": [208, 4, 236, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 26, 53, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 40, 63, 50]}, {\"cell\": \"9\", \"bbox\": [105, 40, 111, 50]}, {\"cell\": \"9, 17, 26, 6, 4, 19, 10, 27, 11\", \"bbox\": [139, 40, 196, 59]}, {\"cell\": \"1.1E-5\", \"bbox\": [208, 40, 229, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 63, 44, 73]}, {\"cell\": \"10\", \"bbox\": [105, 63, 115, 73]}, {\"cell\": \"29, 3, 9, 17, 26, 11, 6, 4, 19, 27\", \"bbox\": [139, 63, 200, 82]}, {\"cell\": \"3.9E-4\", \"bbox\": [208, 63, 229, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 86, 78, 96]}, {\"cell\": \"7\", \"bbox\": [105, 86, 111, 96]}, {\"cell\": \"29, 25, 3, 9, 8, 28, 7\", \"bbox\": [139, 86, 202, 96]}, {\"cell\": \"4.4E-3\", \"bbox\": [208, 86, 229, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 100, 74, 119]}, {\"cell\": \"5\", \"bbox\": [105, 100, 111, 110]}, {\"cell\": \"29, 25, 9, 28, 7\", \"bbox\": [139, 100, 187, 110]}, {\"cell\": \"5.0E-3\", \"bbox\": [208, 100, 229, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 123, 69, 142]}, {\"cell\": \"5\", \"bbox\": [105, 123, 111, 133]}, {\"cell\": \"9, 26, 8, 28, 7\", \"bbox\": [139, 123, 183, 133]}, {\"cell\": \"1.4E-5\", \"bbox\": [208, 123, 229, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 146, 70, 165]}, {\"cell\": \"5\", \"bbox\": [105, 146, 111, 156]}, {\"cell\": \"11, 27, 4, 19, 10\", \"bbox\": [139, 146, 191, 156]}, {\"cell\": \"3.9E-4\", \"bbox\": [208, 146, 229, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 169, 68, 179]}, {\"cell\": \"5\", \"bbox\": [105, 169, 111, 179]}, {\"cell\": \"3, 23, 8, 28, 7\", \"bbox\": [139, 169, 183, 179]}, {\"cell\": \"1.3E-2\", \"bbox\": [208, 169, 229, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 183, 81, 202]}, {\"cell\": \"4\", \"bbox\": [105, 183, 111, 193]}, {\"cell\": \"3, 17, 26, 6\", \"bbox\": [139, 183, 176, 193]}, {\"cell\": \"1.5E-4\", \"bbox\": [208, 183, 229, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 206, 100, 216]}, {\"cell\": \"2\", \"bbox\": [105, 206, 111, 216]}, {\"cell\": \"9, 8\", \"bbox\": [139, 206, 153, 216]}, {\"cell\": \"2E-4\", \"bbox\": [208, 206, 224, 216]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 220, 63, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 234, 93, 244]}, {\"cell\": \"8\", \"bbox\": [105, 234, 111, 244]}, {\"cell\": \"9, 17, 26, 11, 15, 27, 4, 19\", \"bbox\": [139, 234, 203, 253]}, {\"cell\": \"4.4E-5\", \"bbox\": [208, 234, 229, 244]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 257, 82, 267]}, {\"cell\": \"5\", \"bbox\": [105, 257, 111, 267]}, {\"cell\": \"17, 11, 6, 26, 19\", \"bbox\": [139, 257, 191, 267]}, {\"cell\": \"2.0E-2\", \"bbox\": [208, 257, 229, 267]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 271, 52, 281]}, {\"cell\": \"5\", \"bbox\": [105, 271, 111, 281]}, {\"cell\": \"1, 12, 8, 28, 7\", \"bbox\": [139, 271, 183, 281]}, {\"cell\": \"8.5E-3\", \"bbox\": [208, 271, 229, 281]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 285, 64, 295]}, {\"cell\": \"4\", \"bbox\": [105, 285, 111, 295]}, {\"cell\": \"25, 8, 28, 7\", \"bbox\": [139, 285, 176, 295]}, {\"cell\": \"1.1E-4\", \"bbox\": [208, 285, 229, 295]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 299, 88, 309]}, {\"cell\": \"3\", \"bbox\": [105, 299, 111, 309]}, {\"cell\": \"9, 2, 18\", \"bbox\": [139, 299, 164, 309]}, {\"cell\": \"3.7E-2\", \"bbox\": [208, 299, 229, 309]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 313, 91, 332]}, {\"cell\": \"2\", \"bbox\": [105, 313, 111, 323]}, {\"cell\": \"18, 2\", \"bbox\": [139, 313, 157, 323]}, {\"cell\": \"1.0E-2\", \"bbox\": [208, 313, 229, 323]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 336, 51, 346]}, {\"cell\": \"2\", \"bbox\": [105, 336, 111, 346]}, {\"cell\": \"17, 26\", \"bbox\": [139, 336, 160, 346]}, {\"cell\": \"1.2E-2\", \"bbox\": [208, 336, 229, 346]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4172931_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]DKP/TRAMDKPTRAMOverall
SDP placebo (N = 51)SDP active (N = 152)All (N = 203)SDP placebo (N = 51)SDP active (N = 151)All (N = 202)SDP placebo (N = 51)SDP active (N = 150)All (N = 201)Overall (N = 606)
Race N (%)White51 (100 %)152 (100 %)203 (100 %)51 (100 %)151 (100 %)202 (100 %)51 (100 %)[EMPTY_CELL]201 (100 %)606 (100 %)
Age (years)mean47484847474747[EMPTY_CELL]4848
SD6.86.76.77.57.17.24.66.9[EMPTY_CELL]6.8
min3525253031303932[EMPTY_CELL]25
max6973737170716168[EMPTY_CELL]73
Height (cm)mean165164164164164164164[EMPTY_CELL]164164
SD6.25.45.65.96.46.35.66.1[EMPTY_CELL]5.9
min149152149136151136153149[EMPTY_CELL]136
max175176176175183183176182[EMPTY_CELL]183
Weight (kg)mean74757573727273[EMPTY_CELL]7273
SD1415151514141112[EMPTY_CELL]14
min5248485045455049[EMPTY_CELL]45
max11412012011211011290106[EMPTY_CELL]120
CountryHungary8 (16 %)22 (15 %)30 (15 %)7 (14 %)19 (13 %)26 (13 %)7 (14 %)[EMPTY_CELL]33 (16 %)89 (15 %)
Latvia7 (14 %)22 (15 %)29 (14 %)4 (7.8 %)17 (11 %)21 (10 %)5 (9.8 %)17 (11 %)[EMPTY_CELL]72 (12 %)
Lithuania1 (2.0 %)2 (1.3 %)3 (1.5 %)1 (2.0 %)4 (2.6 %)5 (2.5 %)3 (5.9 %)3 (2.0 %)[EMPTY_CELL]14 (2.3 %)
Poland18 (35 %)63 (41 %)81 (40 %)23 (45 %)53 (35 %)76 (38 %)17 (33 %)60 (40 %)[EMPTY_CELL]234 (39 %)
Romania10 (20 %)32 (21 %)42 (21 %)12 (24 %)40 (27 %)52 (26 %)12 (24 %)32 (21 %)[EMPTY_CELL]138 (23 %)
Russian Federation2 (3.9 %)3 (2.0 %)5 (2.5 %)2 (3.9 %)3 (2.0 %)5 (2.5 %)2 (3.9 %)3 (2.0 %)[EMPTY_CELL]15 (2.5 %)
Slovakia5 (9.8 %)7 (4.6 %)12 (5.9 %)2 (3.9 %)13 (8.6 %)15 (7.4 %)4 (7.8 %)8 (5.3 %)[EMPTY_CELL]39 (6.4 %)
Spain0 (0 %)1 (0.7 %)1 (0.5 %)0 (0 %)2 (1.3 %)2 (1.0 %)1 (2.0 %)1 (0.7 %)[EMPTY_CELL]5 (0.8 %)
Baseline PI (VAS) N (%)moderate19 (37 %)59 (39 %)78 (38 %)19 (37 %)58 (38 %)77 (38 %)19 (38 %)[EMPTY_CELL]76 (38 %)231 (38 %)
severe32 (63 %)93 (61 %)125 (62 %)32 (63 %)93 (62 %)125 (62 %)31 (62 %)93 (62 %)[EMPTY_CELL]374 (62 %)
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{\"cell\": \"30 (15 %)\", \"bbox\": [235, 221, 267, 231]}, {\"cell\": \"7 (14 %)\", \"bbox\": [287, 221, 315, 231]}, {\"cell\": \"19 (13 %)\", \"bbox\": [342, 221, 374, 231]}, {\"cell\": \"26 (13 %)\", \"bbox\": [394, 221, 426, 231]}, {\"cell\": \"7 (14 %)\", \"bbox\": [446, 221, 474, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [501, 221, 533, 231]}, {\"cell\": \"33 (16 %)\", \"bbox\": [553, 221, 585, 231]}, {\"cell\": \"89 (15 %)\", \"bbox\": [606, 221, 638, 231]}, {\"cell\": \"Latvia\", \"bbox\": [53, 235, 73, 245]}, {\"cell\": \"7 (14 %)\", \"bbox\": [127, 235, 156, 245]}, {\"cell\": \"22 (15 %)\", \"bbox\": [182, 235, 214, 245]}, {\"cell\": \"29 (14 %)\", \"bbox\": [235, 235, 267, 245]}, {\"cell\": \"4 (7.8 %)\", \"bbox\": [287, 235, 316, 245]}, {\"cell\": \"17 (11 %)\", \"bbox\": [342, 235, 374, 245]}, {\"cell\": \"21 (10 %)\", \"bbox\": [394, 235, 426, 245]}, {\"cell\": \"5 (9.8 %)\", \"bbox\": [446, 235, 476, 245]}, {\"cell\": \"17 (11 %)\", \"bbox\": [501, 235, 533, 245]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [553, 235, 585, 245]}, {\"cell\": \"72 (12 %)\", \"bbox\": [606, 235, 638, 245]}, {\"cell\": \"Lithuania\", \"bbox\": [53, 249, 84, 259]}, {\"cell\": \"1 (2.0 %)\", \"bbox\": [127, 249, 157, 259]}, {\"cell\": \"2 (1.3 %)\", \"bbox\": [182, 249, 212, 259]}, {\"cell\": \"3 (1.5 %)\", \"bbox\": [235, 249, 264, 259]}, {\"cell\": \"1 (2.0 %)\", \"bbox\": [287, 249, 316, 259]}, {\"cell\": \"4 (2.6 %)\", \"bbox\": [342, 249, 371, 259]}, {\"cell\": \"5 (2.5 %)\", \"bbox\": [394, 249, 424, 259]}, {\"cell\": \"3 (5.9 %)\", \"bbox\": [446, 249, 476, 259]}, {\"cell\": \"3 (2.0 %)\", \"bbox\": [501, 249, 531, 259]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [553, 249, 583, 259]}, {\"cell\": \"14 (2.3 %)\", \"bbox\": [606, 249, 639, 259]}, {\"cell\": \"Poland\", \"bbox\": [53, 263, 77, 273]}, {\"cell\": \"18 (35 %)\", \"bbox\": [127, 263, 159, 273]}, {\"cell\": \"63 (41 %)\", \"bbox\": [182, 263, 214, 273]}, {\"cell\": \"81 (40 %)\", \"bbox\": [235, 263, 267, 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585, 287]}, {\"cell\": \"138 (23 %)\", \"bbox\": [606, 277, 641, 287]}, {\"cell\": \"Russian Federation\", \"bbox\": [53, 291, 115, 301]}, {\"cell\": \"2 (3.9 %)\", \"bbox\": [127, 291, 157, 301]}, {\"cell\": \"3 (2.0 %)\", \"bbox\": [182, 291, 212, 301]}, {\"cell\": \"5 (2.5 %)\", \"bbox\": [235, 291, 264, 301]}, {\"cell\": \"2 (3.9 %)\", \"bbox\": [287, 291, 316, 301]}, {\"cell\": \"3 (2.0 %)\", \"bbox\": [342, 291, 371, 301]}, {\"cell\": \"5 (2.5 %)\", \"bbox\": [394, 291, 424, 301]}, {\"cell\": \"2 (3.9 %)\", \"bbox\": [446, 291, 476, 301]}, {\"cell\": \"3 (2.0 %)\", \"bbox\": [501, 291, 531, 301]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [553, 291, 583, 301]}, {\"cell\": \"15 (2.5 %)\", \"bbox\": [606, 291, 639, 301]}, {\"cell\": \"Slovakia\", \"bbox\": [53, 305, 80, 315]}, {\"cell\": \"5 (9.8 %)\", \"bbox\": [127, 305, 157, 315]}, {\"cell\": \"7 (4.6 %)\", \"bbox\": [182, 305, 212, 315]}, {\"cell\": \"12 (5.9 %)\", \"bbox\": [235, 305, 268, 315]}, {\"cell\": \"2 (3.9 %)\", \"bbox\": [287, 305, 316, 315]}, {\"cell\": \"13 (8.6 %)\", \"bbox\": [342, 305, 375, 315]}, {\"cell\": \"15 (7.4 %)\", \"bbox\": [394, 305, 427, 315]}, {\"cell\": \"4 (7.8 %)\", \"bbox\": [446, 305, 476, 315]}, {\"cell\": \"8 (5.3 %)\", \"bbox\": [501, 305, 531, 315]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [553, 305, 587, 315]}, {\"cell\": \"39 (6.4 %)\", \"bbox\": [606, 305, 639, 315]}, {\"cell\": \"Spain\", \"bbox\": [53, 319, 72, 329]}, {\"cell\": \"0 (0 %)\", \"bbox\": [127, 319, 152, 329]}, {\"cell\": \"1 (0.7 %)\", \"bbox\": [182, 319, 212, 329]}, {\"cell\": \"1 (0.5 %)\", \"bbox\": [235, 319, 264, 329]}, {\"cell\": \"0 (0 %)\", \"bbox\": [287, 319, 311, 329]}, {\"cell\": \"2 (1.3 %)\", \"bbox\": [342, 319, 371, 329]}, {\"cell\": \"2 (1.0 %)\", \"bbox\": [394, 319, 424, 329]}, {\"cell\": \"1 (2.0 %)\", \"bbox\": [446, 319, 476, 329]}, {\"cell\": \"1 (0.7 %)\", \"bbox\": [501, 319, 531, 329]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [553, 319, 583, 329]}, {\"cell\": \"5 (0.8 %)\", \"bbox\": [606, 319, 635, 329]}, {\"cell\": \"Baseline PI (VAS) N (%)\", \"bbox\": [0, 333, 38, 352]}, {\"cell\": \"moderate\", \"bbox\": [53, 333, 86, 343]}, {\"cell\": \"19 (37 %)\", \"bbox\": [127, 333, 159, 343]}, {\"cell\": \"59 (39 %)\", \"bbox\": [182, 333, 214, 343]}, {\"cell\": \"78 (38 %)\", \"bbox\": [235, 333, 267, 343]}, {\"cell\": \"19 (37 %)\", \"bbox\": [287, 333, 319, 343]}, {\"cell\": \"58 (38 %)\", \"bbox\": [342, 333, 374, 343]}, {\"cell\": \"77 (38 %)\", \"bbox\": [394, 333, 426, 343]}, {\"cell\": \"19 (38 %)\", \"bbox\": [446, 333, 478, 343]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [501, 333, 533, 343]}, {\"cell\": \"76 (38 %)\", \"bbox\": [553, 333, 585, 343]}, {\"cell\": \"231 (38 %)\", \"bbox\": [606, 333, 641, 343]}, {\"cell\": \"severe\", \"bbox\": [53, 347, 75, 357]}, {\"cell\": \"32 (63 %)\", \"bbox\": [127, 347, 159, 357]}, {\"cell\": \"93 (61 %)\", \"bbox\": [182, 347, 214, 357]}, {\"cell\": \"125 (62 %)\", \"bbox\": [235, 347, 270, 357]}, {\"cell\": \"32 (63 %)\", \"bbox\": [287, 347, 319, 357]}, {\"cell\": \"93 (62 %)\", \"bbox\": [342, 347, 374, 357]}, {\"cell\": \"125 (62 %)\", \"bbox\": [394, 347, 430, 357]}, {\"cell\": \"31 (62 %)\", \"bbox\": [446, 347, 478, 357]}, {\"cell\": \"93 (62 %)\", \"bbox\": [501, 347, 533, 357]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [553, 347, 589, 357]}, {\"cell\": \"374 (62 %)\", \"bbox\": [606, 347, 641, 357]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4724087_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Factor# Respondents1st trimester PNC (%)Late or no PNC (%)
Overall[EMPTY_CELL]92.357.65
Age group (years)
16–18[EMPTY_CELL]1000
19–24[EMPTY_CELL]9010
25–34[EMPTY_CELL]955
35–44[EMPTY_CELL]8812
Number of pregnancies*
One[EMPTY_CELL]8713
Two or more[EMPTY_CELL]955
Healthy start participant
Yes[EMPTY_CELL]955
No[EMPTY_CELL]919
Location of care
US[EMPTY_CELL]937
Mexico[EMPTY_CELL]9010
Both[EMPTY_CELL]9010
Last saw doctor for health
Past 6 months[EMPTY_CELL]946
Past 12 months[EMPTY_CELL]919
Over 1 year ago[EMPTY_CELL]9010
Site
CA[EMPTY_CELL]937
AZ[EMPTY_CELL]982
NM-1[EMPTY_CELL]937
NM-2[EMPTY_CELL]955
TX[EMPTY_CELL]8216
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["SparseTable_Bench_Dataset-zd/PMC5736790_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]EGFRCKD-EPICategories
EGFRMDRDCategories>12090-119[EMPTY_CELL]30-59<30
>120[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Reclassified, N b (%)c2,416 (88.3)312 (11.7)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
All-Cause Mortality[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Deaths, N b126101[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
HR (95% CI)REFERENCE0.57 (0.26-1.26)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
CVD Mortality[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Deaths b2836[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
HR (95% CI)REFERENCE0.37 (0.15-0.94)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
90-119[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Reclassified, N b (%)c1,473 (20.2)4,969 (78.4)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
All-Cause Mortality[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Deaths, N b53604[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
HR (95% CI)1.42 (0.85-2.37)REFERENCE[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
CVD Mortality[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Deaths b13193[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
HR (95% CI)2.95 (1.03-8.42)REFERENCE[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
60-89[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Reclassified, N b (%)c[EMPTY_CELL]1,870 (42.9)[EMPTY_CELL]72 (0.5)[EMPTY_CELL]
All-Cause Mortality[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Deaths, N b[EMPTY_CELL]216[EMPTY_CELL]66[EMPTY_CELL]
HR (95% CI)[EMPTY_CELL]1.13 (0.91-1.42)[EMPTY_CELL]1.31 (1.01-1.69)[EMPTY_CELL]
CVD Mortality[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Deaths b[EMPTY_CELL]74[EMPTY_CELL]31[EMPTY_CELL]
HR (95% CI)[EMPTY_CELL]1.02 (0.69-1.50)[EMPTY_CELL]1.42 (1.01-1.99)[EMPTY_CELL]
30-59[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Reclassified, N b (%)c[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]883 (79.5)12 (1.1) d
All-Cause Mortality[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Deaths, N b[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]70811
HR (95% CI)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]REFERENCEN/A
CVD Mortality[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Deaths b[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]3816
HR (95% CI)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]REFERENCEN/A
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"EGFRCKD-EPICategories\", \"bbox\": [114, 4, 194, 14]}, {\"cell\": \"EGFRMDRDCategories\", \"bbox\": [1, 17, 78, 27]}, {\"cell\": \">120\", \"bbox\": [114, 17, 133, 26]}, {\"cell\": \"90-119\", \"bbox\": [199, 17, 222, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [284, 17, 303, 26]}, {\"cell\": \"30-59\", \"bbox\": [369, 17, 388, 26]}, {\"cell\": \"<30\", \"bbox\": [454, 17, 469, 26]}, {\"cell\": \">120\", \"bbox\": [1, 30, 22, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Reclassified, N b (%)c\", \"bbox\": [1, 42, 68, 52]}, {\"cell\": \"2,416 (88.3)\", \"bbox\": [114, 43, 152, 52]}, {\"cell\": \"312 (11.7)\", \"bbox\": [199, 43, 232, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"All-Cause Mortality\", \"bbox\": [1, 57, 71, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Deaths, N b\", \"bbox\": [1, 68, 39, 78]}, {\"cell\": \"126\", \"bbox\": [114, 70, 127, 78]}, {\"cell\": \"101\", \"bbox\": [199, 70, 212, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"HR (95% CI)\", \"bbox\": [1, 83, 40, 92]}, {\"cell\": \"REFERENCE\", \"bbox\": [114, 83, 152, 92]}, {\"cell\": \"0.57 (0.26-1.26)\", \"bbox\": [199, 83, 248, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CVD Mortality\", \"bbox\": [1, 96, 53, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Deaths b\", \"bbox\": [1, 107, 30, 118]}, {\"cell\": \"28\", \"bbox\": [114, 109, 123, 118]}, {\"cell\": \"36\", \"bbox\": [199, 109, 208, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"HR (95% CI)\", \"bbox\": [1, 122, 40, 131]}, {\"cell\": \"REFERENCE\", \"bbox\": [114, 122, 152, 131]}, {\"cell\": \"0.37 (0.15-0.94)\", \"bbox\": [199, 122, 248, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"90-119\", \"bbox\": [1, 135, 27, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Reclassified, N b (%)c\", \"bbox\": [1, 147, 68, 157]}, {\"cell\": \"1,473 (20.2)\", \"bbox\": [114, 149, 152, 157]}, {\"cell\": \"4,969 (78.4)\", \"bbox\": [199, 149, 237, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [284, 149, 313, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"All-Cause Mortality\", \"bbox\": [1, 162, 71, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Deaths, N b\", \"bbox\": [1, 173, 39, 184]}, {\"cell\": \"53\", \"bbox\": [114, 175, 123, 184]}, {\"cell\": \"604\", \"bbox\": [199, 175, 212, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [284, 175, 297, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"HR (95% CI)\", \"bbox\": [1, 188, 40, 197]}, {\"cell\": \"1.42 (0.85-2.37)\", \"bbox\": [114, 188, 163, 197]}, {\"cell\": \"REFERENCE\", \"bbox\": [199, 188, 237, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [284, 188, 333, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CVD Mortality\", \"bbox\": [1, 201, 53, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Deaths b\", \"bbox\": [1, 213, 30, 223]}, {\"cell\": \"13\", \"bbox\": [114, 214, 123, 223]}, {\"cell\": \"193\", \"bbox\": [199, 214, 212, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [284, 214, 293, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"HR (95% CI)\", \"bbox\": [1, 227, 40, 236]}, {\"cell\": \"2.95 (1.03-8.42)\", \"bbox\": [114, 227, 163, 236]}, {\"cell\": \"REFERENCE\", \"bbox\": [199, 227, 237, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [284, 227, 333, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"60-89\", \"bbox\": [1, 241, 23, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Reclassified, N b (%)c\", \"bbox\": [1, 252, 68, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1,870 (42.9)\", \"bbox\": [199, 254, 237, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [284, 254, 322, 262]}, {\"cell\": \"72 (0.5)\", \"bbox\": [369, 254, 394, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"All-Cause Mortality\", \"bbox\": [1, 267, 71, 276]}, {\"cell\": 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\"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Deaths b\", \"bbox\": [1, 318, 30, 328]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"74\", \"bbox\": [199, 319, 208, 328]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [284, 319, 297, 328]}, {\"cell\": \"31\", \"bbox\": [369, 319, 378, 328]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"HR (95% CI)\", \"bbox\": [1, 333, 40, 341]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.02 (0.69-1.50)\", \"bbox\": [199, 333, 248, 341]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [284, 333, 322, 341]}, {\"cell\": \"1.42 (1.01-1.99)\", \"bbox\": [369, 333, 418, 341]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"30-59\", \"bbox\": [1, 346, 23, 355]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Reclassified, N b (%)c\", \"bbox\": [1, 357, 68, 368]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [284, 359, 316, 368]}, {\"cell\": \"883 (79.5)\", \"bbox\": [369, 359, 401, 368]}, {\"cell\": \"12 (1.1) d\", \"bbox\": [454, 357, 484, 368]}, {\"cell\": \"All-Cause Mortality\", \"bbox\": [1, 372, 71, 382]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Deaths, N b\", \"bbox\": [1, 384, 39, 394]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [284, 385, 293, 394]}, {\"cell\": \"708\", \"bbox\": [369, 385, 382, 394]}, {\"cell\": \"11\", \"bbox\": [454, 385, 463, 394]}, {\"cell\": \"HR (95% CI)\", \"bbox\": [1, 398, 40, 407]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [284, 398, 333, 407]}, {\"cell\": \"REFERENCE\", \"bbox\": [369, 398, 407, 407]}, {\"cell\": \"N/A\", \"bbox\": [454, 398, 468, 407]}, {\"cell\": \"CVD Mortality\", \"bbox\": [1, 412, 53, 421]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Deaths b\", \"bbox\": [1, 423, 30, 433]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [284, 425, 293, 433]}, {\"cell\": \"381\", \"bbox\": [369, 425, 382, 433]}, {\"cell\": \"6\", \"bbox\": [454, 425, 459, 433]}, {\"cell\": \"HR (95% CI)\", \"bbox\": [1, 438, 40, 447]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [284, 438, 331, 447]}, {\"cell\": \"REFERENCE\", \"bbox\": [369, 438, 407, 447]}, {\"cell\": \"N/A\", \"bbox\": [454, 438, 468, 447]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3447668_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariablePFSOS
UnivariateMultivariateUnivariateMultivariate
HR (95% CI)P valueaHR (95% CI)P valueaHR (95% CI)P valueaHR (95% CI)P valuea
Age1.000 (0.986–1.014)0.9800.993 (0.977–1.009)0.381[EMPTY_CELL]0.4800.996 (0.973–1.020)0.757
Sex (men vs. women)1.149 (0.830–1.590)0.4041.520 (0.916–2.522)0.105[EMPTY_CELL]0.0551.776 (0.890–3.544)0.103
Smoking status (ever vs. never)0.907 (0.628–1.311)0.6040.616 (0.363–1.044)0.072[EMPTY_CELL]0.2820.835 (0.405–1.722)0.626
ECOG PS (2 vs. 0-1)0.969 (0.523–1.796)0.9211.019 (0.536–1.935)0.955[EMPTY_CELL]0.9031.281 (0.531–3.091)0.582
EGFR-TKI (erlotinib vs. gefitinib)0.828 (0.531–1.291)0.4050.765 (0.448–1.307)0.327[EMPTY_CELL]0.2950.756 (0.357–1.603)0.466
EGFR-TKI (icotinib vs. gefitinib)0.652 (0.359–1.184)0.1600.702 (0.362–1.361)0.295[EMPTY_CELL]0.3060.255 (0.063–1.037)0.056
Stage (IIIB vs. IV)0.552 (0.203–1.498)0.2430.402 (0.119–1.356)0.142[EMPTY_CELL]0.8260.600 (0.144–2.506)0.483
EGFR mutation (exon 19 del vs. L858R mutation)0.705 (0.509–0.976)0.0350.631 (0.432–0.920)0.017[EMPTY_CELL]0.5660.671 (0.397–1.133)0.135
\", \"cells\": [{\"cell\": \"Variable\", \"bbox\": [1, 4, 31, 13]}, {\"cell\": \"PFS\", \"bbox\": [82, 4, 97, 13]}, {\"cell\": \"OS\", \"bbox\": [285, 4, 297, 13]}, {\"cell\": \"Univariate\", \"bbox\": [82, 21, 120, 29]}, {\"cell\": \"Multivariate\", \"bbox\": [183, 21, 227, 29]}, {\"cell\": \"Univariate\", \"bbox\": [285, 21, 323, 29]}, {\"cell\": \"Multivariate\", \"bbox\": [387, 21, 431, 29]}, {\"cell\": \"HR (95% CI)\", \"bbox\": [82, 36, 124, 45]}, {\"cell\": \"P valuea\", \"bbox\": [149, 35, 179, 45]}, {\"cell\": \"HR (95% CI)\", \"bbox\": [183, 36, 226, 45]}, {\"cell\": \"P valuea\", \"bbox\": [251, 35, 281, 45]}, {\"cell\": \"HR (95% CI)\", \"bbox\": [285, 36, 327, 45]}, {\"cell\": \"P valuea\", \"bbox\": [353, 35, 382, 45]}, {\"cell\": \"HR (95% CI)\", \"bbox\": [387, 36, 429, 45]}, {\"cell\": \"P valuea\", \"bbox\": [454, 35, 484, 45]}, {\"cell\": \"Age\", \"bbox\": [0, 54, 15, 64]}, {\"cell\": \"1.000 (0.986–1.014)\", \"bbox\": [82, 54, 145, 64]}, {\"cell\": \"0.980\", \"bbox\": [149, 54, 168, 64]}, {\"cell\": \"0.993 (0.977–1.009)\", \"bbox\": [183, 54, 246, 64]}, {\"cell\": \"0.381\", \"bbox\": [251, 54, 270, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 54, 348, 64]}, {\"cell\": \"0.480\", \"bbox\": [353, 54, 372, 64]}, {\"cell\": \"0.996 (0.973–1.020)\", \"bbox\": [387, 54, 450, 64]}, {\"cell\": \"0.757\", \"bbox\": [454, 54, 473, 64]}, {\"cell\": \"Sex (men vs. women)\", \"bbox\": [0, 66, 70, 76]}, {\"cell\": \"1.149 (0.830–1.590)\", \"bbox\": [82, 66, 145, 76]}, {\"cell\": \"0.404\", \"bbox\": [149, 66, 168, 76]}, {\"cell\": \"1.520 (0.916–2.522)\", \"bbox\": [183, 66, 246, 76]}, {\"cell\": \"0.105\", \"bbox\": [251, 66, 270, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 66, 348, 76]}, {\"cell\": \"0.055\", \"bbox\": [353, 66, 372, 76]}, {\"cell\": \"1.776 (0.890–3.544)\", \"bbox\": [387, 66, 450, 76]}, {\"cell\": \"0.103\", \"bbox\": [454, 66, 473, 76]}, {\"cell\": \"Smoking status (ever vs. never)\", \"bbox\": [0, 78, 79, 97]}, {\"cell\": \"0.907 (0.628–1.311)\", \"bbox\": [82, 78, 145, 88]}, {\"cell\": \"0.604\", \"bbox\": [149, 78, 168, 88]}, {\"cell\": \"0.616 (0.363–1.044)\", \"bbox\": [183, 78, 246, 88]}, {\"cell\": \"0.072\", \"bbox\": [251, 78, 270, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 78, 348, 88]}, {\"cell\": \"0.282\", \"bbox\": [353, 78, 372, 88]}, {\"cell\": \"0.835 (0.405–1.722)\", \"bbox\": [387, 78, 450, 88]}, {\"cell\": \"0.626\", \"bbox\": [454, 78, 473, 88]}, {\"cell\": \"ECOG PS (2 vs. 0-1)\", \"bbox\": [0, 100, 62, 109]}, {\"cell\": \"0.969 (0.523–1.796)\", \"bbox\": [82, 100, 145, 109]}, {\"cell\": \"0.921\", \"bbox\": [149, 100, 168, 109]}, {\"cell\": \"1.019 (0.536–1.935)\", \"bbox\": [183, 100, 246, 109]}, {\"cell\": \"0.955\", \"bbox\": [251, 100, 270, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 100, 348, 109]}, {\"cell\": \"0.903\", \"bbox\": [353, 100, 372, 109]}, {\"cell\": \"1.281 (0.531–3.091)\", \"bbox\": [387, 100, 450, 109]}, {\"cell\": \"0.582\", \"bbox\": [454, 100, 473, 109]}, {\"cell\": \"EGFR-TKI (erlotinib vs. gefitinib)\", \"bbox\": [0, 112, 71, 130]}, {\"cell\": \"0.828 (0.531–1.291)\", \"bbox\": [82, 112, 145, 121]}, {\"cell\": \"0.405\", \"bbox\": [149, 112, 168, 121]}, {\"cell\": \"0.765 (0.448–1.307)\", \"bbox\": [183, 112, 246, 121]}, {\"cell\": \"0.327\", \"bbox\": [251, 112, 270, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 112, 348, 121]}, {\"cell\": \"0.295\", \"bbox\": [353, 112, 372, 121]}, {\"cell\": \"0.756 (0.357–1.603)\", \"bbox\": [387, 112, 450, 121]}, {\"cell\": \"0.466\", \"bbox\": [454, 112, 473, 121]}, {\"cell\": \"EGFR-TKI (icotinib vs. gefitinib)\", \"bbox\": [1, 133, 68, 151]}, {\"cell\": \"0.652 (0.359–1.184)\", \"bbox\": [82, 133, 145, 142]}, {\"cell\": \"0.160\", \"bbox\": [149, 133, 168, 142]}, {\"cell\": \"0.702 (0.362–1.361)\", \"bbox\": [183, 133, 246, 142]}, {\"cell\": \"0.295\", \"bbox\": [251, 133, 270, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 133, 348, 142]}, {\"cell\": \"0.306\", \"bbox\": [353, 133, 372, 142]}, {\"cell\": \"0.255 (0.063–1.037)\", \"bbox\": [387, 133, 450, 142]}, {\"cell\": \"0.056\", \"bbox\": [454, 133, 473, 142]}, {\"cell\": \"Stage (IIIB vs. IV)\", \"bbox\": [1, 154, 53, 163]}, {\"cell\": \"0.552 (0.203–1.498)\", \"bbox\": [82, 154, 145, 163]}, {\"cell\": \"0.243\", \"bbox\": [149, 154, 168, 163]}, {\"cell\": \"0.402 (0.119–1.356)\", \"bbox\": [183, 154, 246, 163]}, {\"cell\": \"0.142\", \"bbox\": [251, 154, 270, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 154, 348, 163]}, {\"cell\": \"0.826\", \"bbox\": [353, 154, 372, 163]}, {\"cell\": \"0.600 (0.144–2.506)\", \"bbox\": [387, 154, 450, 163]}, {\"cell\": \"0.483\", \"bbox\": [454, 154, 473, 163]}, {\"cell\": \"EGFR mutation (exon 19 del vs. L858R mutation)\", \"bbox\": [1, 166, 83, 184]}, {\"cell\": \"0.705 (0.509–0.976)\", \"bbox\": [82, 166, 145, 175]}, {\"cell\": \"0.035\", \"bbox\": [149, 166, 168, 175]}, {\"cell\": \"0.631 (0.432–0.920)\", \"bbox\": [183, 166, 246, 175]}, {\"cell\": \"0.017\", \"bbox\": [251, 166, 270, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 166, 348, 175]}, {\"cell\": \"0.566\", \"bbox\": [353, 166, 372, 175]}, {\"cell\": \"0.671 (0.397–1.133)\", \"bbox\": [387, 166, 450, 175]}, {\"cell\": \"0.135\", \"bbox\": [454, 166, 473, 175]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4802875_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Number of DNA band shows in the figuresName of microorganismGenBank access numberTimes identified in women (n = 64)Percentage of women with species identified (%)
12Lactobacillus acidophilusNC_00681450[EMPTY_CELL]
11Lactobacillus inersAY28326535[EMPTY_CELL]
30Uncultured Ureaplasma urealyticum EU64447314[EMPTY_CELL]
16Lactobacillus gasseriNC_00853013[EMPTY_CELL]
15BVAB1AB03412111[EMPTY_CELL]
26Gemella bergeriaeY13365.15[EMPTY_CELL]
4Gardnerella vaginalisM587444[EMPTY_CELL]
13Lactobacillus delbrueckiiNC_0085294[EMPTY_CELL]
18Leptotrichia amnioniiAY0784254[EMPTY_CELL]
5Mobiluncus sp.EF428974.14[EMPTY_CELL]
29Ureaplasma UrealyticumAF0734554[EMPTY_CELL]
17Peptostreptococcus sp.AY2070593[EMPTY_CELL]
1Uncultured Gardnerella sp. AY738665.13[EMPTY_CELL]
20Peptoniphilus indolicusD141472[EMPTY_CELL]
24Anaerococcus vaginalisAF5422291[EMPTY_CELL]
2Atopobium sp.AY738658.11[EMPTY_CELL]
6Mobiluncus mulierisAJ4276251[EMPTY_CELL]
3Porphiromonas dentalisX81876.11[EMPTY_CELL]
14Prevotella biviaL164751[EMPTY_CELL]
27Uncultured Leptotrichia sp.AY724742.11[EMPTY_CELL]
19Uncultured Peptoniphilus sp. AY738692.11[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Number of DNA band shows in the figures\", \"bbox\": [2, 5, 69, 36]}, {\"cell\": \"Name of microorganism\", \"bbox\": [92, 15, 182, 26]}, {\"cell\": \"GenBank access number\", \"bbox\": [249, 10, 308, 31]}, {\"cell\": \"Times identified in women (n = 64)\", \"bbox\": [330, 10, 399, 31]}, {\"cell\": \"Percentage of women with species identified (%)\", \"bbox\": [417, 5, 498, 36]}, {\"cell\": \"12\", \"bbox\": [2, 40, 13, 51]}, {\"cell\": \"Lactobacillus acidophilus\", \"bbox\": [92, 40, 181, 51]}, {\"cell\": \"NC_006814\", \"bbox\": [257, 40, 300, 51]}, {\"cell\": \"50\", \"bbox\": [359, 40, 370, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [452, 40, 463, 51]}, {\"cell\": \"11\", \"bbox\": [2, 55, 13, 66]}, {\"cell\": \"Lactobacillus iners\", \"bbox\": [92, 55, 158, 66]}, {\"cell\": \"AY283265\", \"bbox\": [259, 55, 297, 66]}, {\"cell\": \"35\", \"bbox\": [359, 55, 370, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [452, 55, 463, 66]}, {\"cell\": \"30\", \"bbox\": [2, 70, 13, 80]}, {\"cell\": \"Uncultured Ureaplasma urealyticum \", \"bbox\": [92, 70, 223, 80]}, {\"cell\": \"EU644473\", \"bbox\": [259, 70, 298, 80]}, {\"cell\": \"14\", \"bbox\": [359, 70, 370, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [452, 70, 463, 80]}, {\"cell\": \"16\", \"bbox\": [2, 84, 13, 95]}, {\"cell\": \"Lactobacillus gasseri\", \"bbox\": [92, 84, 164, 95]}, {\"cell\": \"NC_008530\", \"bbox\": [257, 84, 300, 95]}, {\"cell\": \"13\", \"bbox\": [359, 84, 370, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [452, 84, 463, 95]}, {\"cell\": \"15\", \"bbox\": [2, 99, 13, 109]}, {\"cell\": \"BVAB1\", \"bbox\": [92, 99, 119, 109]}, {\"cell\": \"AB034121\", \"bbox\": [259, 99, 298, 109]}, {\"cell\": \"11\", \"bbox\": [359, 99, 370, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [452, 99, 463, 109]}, {\"cell\": \"26\", \"bbox\": [2, 113, 13, 124]}, {\"cell\": \"Gemella bergeriae\", \"bbox\": [92, 113, 156, 124]}, {\"cell\": \"Y13365.1\", \"bbox\": [261, 113, 296, 124]}, {\"cell\": \"5\", \"bbox\": [361, 113, 368, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 113, 461, 124]}, {\"cell\": \"4\", \"bbox\": [2, 128, 9, 138]}, {\"cell\": \"Gardnerella vaginalis\", \"bbox\": [92, 128, 168, 138]}, {\"cell\": \"M58744\", \"bbox\": [263, 128, 294, 138]}, {\"cell\": \"4\", \"bbox\": [361, 128, 368, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 128, 461, 138]}, {\"cell\": \"13\", \"bbox\": [2, 142, 13, 153]}, {\"cell\": \"Lactobacillus delbrueckii\", \"bbox\": [92, 142, 179, 153]}, {\"cell\": \"NC_008529\", \"bbox\": [257, 142, 300, 153]}, {\"cell\": \"4\", \"bbox\": [361, 142, 368, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 142, 461, 153]}, {\"cell\": \"18\", \"bbox\": [2, 157, 13, 167]}, {\"cell\": \"Leptotrichia amnionii\", \"bbox\": [92, 157, 170, 167]}, {\"cell\": \"AY078425\", \"bbox\": [259, 157, 297, 167]}, {\"cell\": \"4\", \"bbox\": [361, 157, 368, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 157, 461, 167]}, {\"cell\": \"5\", \"bbox\": [2, 171, 9, 182]}, {\"cell\": \"Mobiluncus sp.\", \"bbox\": [92, 171, 147, 182]}, {\"cell\": \"EF428974.1\", \"bbox\": [257, 171, 300, 182]}, {\"cell\": \"4\", \"bbox\": [361, 171, 368, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 171, 461, 182]}, {\"cell\": \"29\", \"bbox\": [2, 186, 13, 196]}, {\"cell\": \"Ureaplasma Urealyticum\", \"bbox\": [92, 186, 181, 196]}, {\"cell\": \"AF073455\", \"bbox\": [259, 186, 298, 196]}, {\"cell\": \"4\", \"bbox\": [361, 186, 368, 196]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 186, 461, 196]}, {\"cell\": \"17\", \"bbox\": [2, 200, 13, 211]}, {\"cell\": \"Peptostreptococcus sp.\", \"bbox\": [92, 200, 170, 211]}, {\"cell\": \"AY207059\", \"bbox\": [259, 200, 297, 211]}, {\"cell\": \"3\", \"bbox\": [361, 200, 368, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 200, 461, 211]}, {\"cell\": \"1\", \"bbox\": [2, 215, 9, 225]}, {\"cell\": \"Uncultured Gardnerella sp. \", \"bbox\": [92, 215, 191, 225]}, {\"cell\": \"AY738665.1\", \"bbox\": [256, 215, 301, 225]}, {\"cell\": \"3\", \"bbox\": [361, 215, 368, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 215, 461, 225]}, {\"cell\": \"20\", \"bbox\": [2, 229, 13, 240]}, {\"cell\": \"Peptoniphilus indolicus\", \"bbox\": [92, 229, 174, 240]}, {\"cell\": \"D14147\", \"bbox\": [263, 229, 293, 240]}, {\"cell\": \"2\", \"bbox\": [361, 229, 368, 240]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 229, 461, 240]}, {\"cell\": \"24\", \"bbox\": [2, 244, 13, 254]}, {\"cell\": \"Anaerococcus vaginalis\", \"bbox\": [92, 244, 173, 254]}, {\"cell\": \"AF542229\", \"bbox\": [259, 244, 298, 254]}, {\"cell\": \"1\", \"bbox\": [361, 244, 368, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 244, 461, 254]}, {\"cell\": \"2\", \"bbox\": [2, 258, 9, 269]}, {\"cell\": \"Atopobium sp.\", \"bbox\": [92, 258, 145, 269]}, {\"cell\": \"AY738658.1\", \"bbox\": [256, 258, 301, 269]}, {\"cell\": \"1\", \"bbox\": [361, 258, 368, 269]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 258, 461, 269]}, {\"cell\": \"6\", \"bbox\": [2, 273, 9, 283]}, {\"cell\": \"Mobiluncus mulieris\", \"bbox\": [92, 273, 165, 283]}, {\"cell\": \"AJ427625\", \"bbox\": [260, 273, 297, 283]}, {\"cell\": \"1\", \"bbox\": [361, 273, 368, 283]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 273, 461, 283]}, {\"cell\": \"3\", \"bbox\": [2, 287, 9, 298]}, {\"cell\": \"Porphiromonas dentalis\", \"bbox\": [92, 287, 176, 298]}, {\"cell\": \"X81876.1\", \"bbox\": [261, 287, 296, 298]}, {\"cell\": \"1\", \"bbox\": [361, 287, 368, 298]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 287, 461, 298]}, {\"cell\": \"14\", \"bbox\": [2, 302, 13, 312]}, {\"cell\": \"Prevotella bivia\", \"bbox\": [92, 302, 148, 312]}, {\"cell\": \"L16475\", \"bbox\": [264, 302, 293, 312]}, {\"cell\": \"1\", \"bbox\": [361, 302, 368, 312]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 302, 461, 312]}, {\"cell\": \"27\", \"bbox\": [2, 316, 13, 327]}, {\"cell\": \"Uncultured Leptotrichia sp.\", \"bbox\": [92, 316, 191, 327]}, {\"cell\": \"AY724742.1\", \"bbox\": [256, 316, 301, 327]}, {\"cell\": \"1\", \"bbox\": [361, 316, 368, 327]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 316, 461, 327]}, {\"cell\": \"19\", \"bbox\": [2, 331, 13, 341]}, {\"cell\": \"Uncultured Peptoniphilus sp. \", \"bbox\": [92, 331, 195, 341]}, {\"cell\": \"AY738692.1\", \"bbox\": [256, 331, 301, 341]}, {\"cell\": \"1\", \"bbox\": [361, 331, 368, 341]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 331, 461, 341]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3179877_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Age category ‡
[EMPTY_CELL]4 to 11 years overall4–5 years6–8 years9–11 years
[EMPTY_CELL]Boys
n §1442375[EMPTY_CELL]539
Active Play (times per week) †7 (5, 7)7 (5, 7)[EMPTY_CELL]7 (5, 7)
Active Play (times per week)**7.0 (6.5 – 7.4)6.9 (6.3 – 7.4)[EMPTY_CELL]7.1 (6.0 – 8.1)
Television (hours per day)**2.3 (2.2 – 2.5)2.3 (2.0 – 2.5)[EMPTY_CELL]2.4 (2.2–2.6)
Computer/video games (hours per day)**0.9 (0.9 – 1.0)0.7 (0.6 – 0.8)[EMPTY_CELL]1.2 (1.0 – 1.4)
[EMPTY_CELL]Girls
n §1522402[EMPTY_CELL]539
Active Play (times per week) †7 (4, 7)7 (5, 7)[EMPTY_CELL]6 (3, 7)
Active Play (times per week)**6.4 (5.8 – 7.0)7.3 (6.2 – 8.3)[EMPTY_CELL]6.2 (5.4 – 6.9)
Television (hours per day)**2.2 (2.1 – 2.3)2.2 (2.0 – 2.3)[EMPTY_CELL]2.4 (2.2 – 2.5)
Computer/video games (hours per day)**0.7 (0.7 – 0.8)0.6 (0.5 – 0.7)[EMPTY_CELL]0.8 (0.7 – 0.9)
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Age category ‡\", \"bbox\": [322, 4, 381, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"4 to 11 years overall\", \"bbox\": [205, 15, 285, 24]}, {\"cell\": \"4–5 years\", \"bbox\": [308, 15, 346, 24]}, {\"cell\": \"6–8 years\", \"bbox\": [373, 15, 411, 24]}, {\"cell\": \"9–11 years\", \"bbox\": [438, 15, 481, 24]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Boys\", \"bbox\": [341, 37, 361, 47]}, {\"cell\": \"n §\", \"bbox\": [4, 47, 17, 57]}, {\"cell\": \"1442\", \"bbox\": [205, 47, 224, 57]}, {\"cell\": \"375\", \"bbox\": [308, 47, 322, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [373, 47, 387, 57]}, {\"cell\": \"539\", \"bbox\": [438, 47, 452, 57]}, {\"cell\": \"Active Play (times per week) †\", \"bbox\": [4, 58, 124, 67]}, {\"cell\": \"7 (5, 7)\", \"bbox\": [205, 58, 231, 67]}, {\"cell\": \"7 (5, 7)\", \"bbox\": [308, 58, 334, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [373, 58, 399, 67]}, {\"cell\": \"7 (5, 7)\", \"bbox\": [438, 58, 464, 67]}, {\"cell\": \"Active Play (times per week)**\", \"bbox\": [4, 68, 125, 77]}, {\"cell\": \"7.0 (6.5 – 7.4)\", \"bbox\": [205, 68, 254, 77]}, {\"cell\": \"6.9 (6.3 – 7.4)\", \"bbox\": [308, 68, 356, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [373, 68, 421, 77]}, {\"cell\": \"7.1 (6.0 – 8.1)\", \"bbox\": [438, 68, 487, 77]}, {\"cell\": \"Television (hours per day)**\", \"bbox\": [4, 78, 115, 88]}, {\"cell\": \"2.3 (2.2 – 2.5)\", \"bbox\": [205, 78, 254, 88]}, {\"cell\": \"2.3 (2.0 – 2.5)\", \"bbox\": [308, 78, 356, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [373, 78, 421, 88]}, {\"cell\": \"2.4 (2.2–2.6)\", \"bbox\": [438, 78, 482, 88]}, {\"cell\": \"Computer/video games (hours per day)**\", \"bbox\": [4, 88, 166, 98]}, {\"cell\": \"0.9 (0.9 – 1.0)\", \"bbox\": [205, 88, 254, 98]}, {\"cell\": \"0.7 (0.6 – 0.8)\", \"bbox\": [308, 88, 356, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [373, 88, 421, 98]}, {\"cell\": \"1.2 (1.0 – 1.4)\", \"bbox\": [438, 88, 487, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Girls\", \"bbox\": [341, 111, 362, 120]}, {\"cell\": \"n §\", \"bbox\": [4, 120, 17, 130]}, {\"cell\": \"1522\", \"bbox\": [205, 121, 224, 130]}, {\"cell\": \"402\", \"bbox\": [308, 121, 322, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [373, 121, 387, 130]}, {\"cell\": \"539\", \"bbox\": [438, 121, 452, 130]}, {\"cell\": \"Active Play (times per week) †\", \"bbox\": [4, 131, 124, 141]}, {\"cell\": \"7 (4, 7)\", \"bbox\": [205, 131, 231, 141]}, {\"cell\": \"7 (5, 7)\", \"bbox\": [308, 131, 334, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [373, 131, 399, 141]}, {\"cell\": \"6 (3, 7)\", \"bbox\": [438, 131, 464, 141]}, {\"cell\": \"Active Play (times per week)**\", \"bbox\": [4, 141, 125, 151]}, {\"cell\": \"6.4 (5.8 – 7.0)\", \"bbox\": [205, 141, 254, 151]}, {\"cell\": \"7.3 (6.2 – 8.3)\", \"bbox\": [308, 141, 356, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [373, 141, 421, 151]}, {\"cell\": \"6.2 (5.4 – 6.9)\", \"bbox\": [438, 141, 487, 151]}, {\"cell\": \"Television (hours per day)**\", \"bbox\": [4, 152, 115, 161]}, {\"cell\": \"2.2 (2.1 – 2.3)\", \"bbox\": [205, 152, 254, 161]}, {\"cell\": \"2.2 (2.0 – 2.3)\", \"bbox\": [308, 152, 356, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [373, 152, 421, 161]}, {\"cell\": \"2.4 (2.2 – 2.5)\", \"bbox\": [438, 152, 487, 161]}, {\"cell\": \"Computer/video games (hours per day)**\", \"bbox\": [4, 162, 166, 171]}, {\"cell\": \"0.7 (0.7 – 0.8)\", \"bbox\": [205, 162, 254, 171]}, {\"cell\": \"0.6 (0.5 – 0.7)\", \"bbox\": [308, 162, 356, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [373, 162, 421, 171]}, {\"cell\": \"0.8 (0.7 – 0.9)\", \"bbox\": [438, 162, 487, 171]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2605460_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariablesModel 1Model 2Model 3
Coefficientsp-valueCoefficientsp-valueCoefficientsp-value
[EMPTY_CELL]
[EMPTY_CELL]
[EMPTY_CELL]–[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]–[EMPTY_CELL]
[EMPTY_CELL]−5.37***[EMPTY_CELL][EMPTY_CELL]−5.16***
[EMPTY_CELL]−8.32***[EMPTY_CELL][EMPTY_CELL]−8.52***
[EMPTY_CELL]−10.32***[EMPTY_CELL][EMPTY_CELL]−10.3***
[EMPTY_CELL]−13.61***[EMPTY_CELL][EMPTY_CELL]−14.04***
[EMPTY_CELL]
[EMPTY_CELL]–[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]–[EMPTY_CELL]
[EMPTY_CELL]−2.51*[EMPTY_CELL][EMPTY_CELL]−2.11[EMPTY_CELL]
[EMPTY_CELL]−5.10***[EMPTY_CELL][EMPTY_CELL]−5.07***
[EMPTY_CELL]−6.81***[EMPTY_CELL][EMPTY_CELL]−6.31***
[EMPTY_CELL]−6.89***[EMPTY_CELL][EMPTY_CELL]−6.22***
[EMPTY_CELL]
[EMPTY_CELL]–[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]–[EMPTY_CELL]
[EMPTY_CELL]−2.13*[EMPTY_CELL][EMPTY_CELL]−1.44[EMPTY_CELL]
[EMPTY_CELL]−4.30***[EMPTY_CELL][EMPTY_CELL]−3.24**
[EMPTY_CELL]−5.30***[EMPTY_CELL][EMPTY_CELL]−3.78**
[EMPTY_CELL]−7.82***[EMPTY_CELL][EMPTY_CELL]−6.24**
[EMPTY_CELL]
[EMPTY_CELL]–[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]–[EMPTY_CELL]
[EMPTY_CELL]−3.35***[EMPTY_CELL][EMPTY_CELL]−3.04***
[EMPTY_CELL]−6.57***[EMPTY_CELL][EMPTY_CELL]−5.64***
[EMPTY_CELL]−9.27***[EMPTY_CELL][EMPTY_CELL]−8.36***
[EMPTY_CELL]−15.08***[EMPTY_CELL][EMPTY_CELL]−13.71***
[EMPTY_CELL]
[EMPTY_CELL]–[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]–[EMPTY_CELL]
[EMPTY_CELL]−5.30***[EMPTY_CELL][EMPTY_CELL]−4.47***
[EMPTY_CELL]−6.22***[EMPTY_CELL][EMPTY_CELL]−4.69***
[EMPTY_CELL]−6.52***[EMPTY_CELL][EMPTY_CELL]−4.16***
[EMPTY_CELL]−12.42***[EMPTY_CELL][EMPTY_CELL]−10.71***
[EMPTY_CELL]72.10***83.40***52.73***
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]−0.23**0.27***
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]−2.40***0.38[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]−3.58***−2.58**
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]−2.18**−1.44[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]−5.18***−1.97***
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]−1.32***−0.49***
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]−2.89***0.47[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]−0.67***0.21[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]−3.62***−2.08**
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]−0.89***−0.25[EMPTY_CELL]
[EMPTY_CELL]226422122212
[EMPTY_CELL]0.400.250.42
\", \"cells\": [{\"cell\": \"Variables\", \"bbox\": [1, 4, 28, 12]}, {\"cell\": \"Model 1\", \"bbox\": [175, 4, 201, 12]}, {\"cell\": \"Model 2\", \"bbox\": [287, 4, 313, 12]}, {\"cell\": \"Model 3\", \"bbox\": [399, 4, 425, 12]}, {\"cell\": \"Coefficients\", \"bbox\": [175, 16, 211, 25]}, {\"cell\": \"p-value\", \"bbox\": [238, 16, 260, 25]}, {\"cell\": \"Coefficients\", \"bbox\": [287, 16, 323, 25]}, {\"cell\": \"p-value\", \"bbox\": [350, 16, 372, 25]}, {\"cell\": \"Coefficients\", \"bbox\": [399, 16, 435, 25]}, {\"cell\": \"p-value\", \"bbox\": [462, 16, 484, 25]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 28, 54, 37]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 42, 62, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 55, 55, 64]}, {\"cell\": \"–\", \"bbox\": [175, 58, 181, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"–\", \"bbox\": [399, 58, 405, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 68, 62, 77]}, {\"cell\": \"−5.37\", \"bbox\": [175, 68, 193, 77]}, {\"cell\": \"***\", \"bbox\": [238, 68, 248, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−5.16\", \"bbox\": [399, 68, 417, 77]}, {\"cell\": \"***\", \"bbox\": [462, 68, 472, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 81, 74, 90]}, {\"cell\": \"−8.32\", \"bbox\": [175, 81, 193, 90]}, {\"cell\": \"***\", \"bbox\": [238, 81, 248, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−8.52\", \"bbox\": [399, 81, 417, 90]}, {\"cell\": \"***\", \"bbox\": [462, 81, 472, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 94, 65, 103]}, {\"cell\": \"−10.32\", \"bbox\": [175, 94, 197, 103]}, {\"cell\": \"***\", \"bbox\": [238, 94, 248, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−10.3\", \"bbox\": [399, 94, 417, 103]}, {\"cell\": \"***\", \"bbox\": [462, 94, 472, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 108, 69, 116]}, {\"cell\": \"−13.61\", \"bbox\": [175, 108, 197, 116]}, {\"cell\": \"***\", \"bbox\": [238, 108, 248, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−14.04\", \"bbox\": [399, 108, 421, 116]}, {\"cell\": \"***\", \"bbox\": [462, 108, 472, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 121, 63, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 134, 55, 143]}, {\"cell\": \"–\", \"bbox\": [175, 137, 181, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"–\", \"bbox\": [399, 137, 405, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 147, 62, 156]}, {\"cell\": \"−2.51\", \"bbox\": [175, 147, 193, 156]}, {\"cell\": \"*\", \"bbox\": [238, 147, 242, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−2.11\", \"bbox\": [399, 147, 417, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 160, 74, 169]}, {\"cell\": \"−5.10\", \"bbox\": [175, 160, 193, 169]}, {\"cell\": \"***\", \"bbox\": [238, 160, 248, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−5.07\", \"bbox\": [399, 160, 417, 169]}, {\"cell\": \"***\", \"bbox\": [462, 160, 472, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 174, 65, 182]}, {\"cell\": \"−6.81\", \"bbox\": [175, 174, 193, 182]}, {\"cell\": \"***\", \"bbox\": [238, 174, 248, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−6.31\", \"bbox\": [399, 174, 417, 182]}, {\"cell\": \"***\", \"bbox\": [462, 174, 472, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 187, 69, 196]}, {\"cell\": \"−6.89\", \"bbox\": [175, 187, 193, 196]}, {\"cell\": \"***\", \"bbox\": [238, 187, 248, 196]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−6.22\", \"bbox\": [399, 187, 417, 196]}, {\"cell\": \"***\", \"bbox\": [462, 187, 472, 196]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 200, 77, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 213, 55, 222]}, {\"cell\": \"–\", \"bbox\": [175, 216, 181, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"–\", \"bbox\": [399, 216, 405, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 226, 62, 235]}, {\"cell\": \"−2.13\", \"bbox\": [175, 226, 193, 235]}, {\"cell\": \"*\", \"bbox\": [238, 226, 242, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−1.44\", \"bbox\": [399, 226, 417, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 240, 74, 248]}, {\"cell\": \"−4.30\", \"bbox\": [175, 240, 193, 248]}, {\"cell\": \"***\", \"bbox\": [238, 240, 248, 248]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−3.24\", \"bbox\": [399, 240, 417, 248]}, {\"cell\": \"**\", \"bbox\": [462, 240, 469, 248]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 253, 65, 262]}, {\"cell\": \"−5.30\", \"bbox\": [175, 253, 193, 262]}, {\"cell\": \"***\", \"bbox\": [238, 253, 248, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−3.78\", \"bbox\": [399, 253, 417, 262]}, {\"cell\": \"**\", \"bbox\": [462, 253, 469, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 266, 69, 275]}, {\"cell\": \"−7.82\", \"bbox\": [175, 266, 193, 275]}, {\"cell\": \"***\", \"bbox\": [238, 266, 248, 275]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−6.24\", \"bbox\": [399, 266, 417, 275]}, {\"cell\": \"**\", \"bbox\": [462, 266, 469, 275]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 279, 56, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 292, 55, 301]}, {\"cell\": \"–\", \"bbox\": [175, 296, 181, 300]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"–\", \"bbox\": [399, 296, 405, 300]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 306, 62, 314]}, {\"cell\": \"−3.35\", \"bbox\": [175, 306, 193, 314]}, {\"cell\": \"***\", \"bbox\": [238, 306, 248, 314]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−3.04\", \"bbox\": [399, 306, 417, 314]}, {\"cell\": \"***\", \"bbox\": [462, 306, 472, 314]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 319, 74, 328]}, {\"cell\": \"−6.57\", \"bbox\": [175, 319, 193, 328]}, {\"cell\": \"***\", \"bbox\": [238, 319, 248, 328]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−5.64\", \"bbox\": [399, 319, 417, 328]}, {\"cell\": \"***\", \"bbox\": [462, 319, 472, 328]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 332, 65, 341]}, {\"cell\": \"−9.27\", \"bbox\": [175, 332, 193, 341]}, {\"cell\": \"***\", \"bbox\": [238, 332, 248, 341]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−8.36\", \"bbox\": [399, 332, 417, 341]}, {\"cell\": \"***\", \"bbox\": [462, 332, 472, 341]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 345, 69, 354]}, {\"cell\": \"−15.08\", \"bbox\": [175, 345, 197, 354]}, {\"cell\": \"***\", \"bbox\": [238, 345, 248, 354]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−13.71\", \"bbox\": [399, 345, 421, 354]}, {\"cell\": \"***\", \"bbox\": [462, 345, 472, 354]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 358, 65, 367]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 372, 55, 380]}, {\"cell\": \"–\", \"bbox\": [175, 375, 181, 379]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"–\", \"bbox\": [399, 375, 405, 379]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 385, 62, 394]}, {\"cell\": \"−5.30\", \"bbox\": [175, 385, 193, 394]}, {\"cell\": \"***\", \"bbox\": [238, 385, 248, 394]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−4.47\", \"bbox\": [399, 385, 417, 394]}, {\"cell\": \"***\", \"bbox\": [462, 385, 472, 394]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 398, 74, 407]}, {\"cell\": \"−6.22\", \"bbox\": [175, 398, 193, 407]}, {\"cell\": \"***\", \"bbox\": [238, 398, 248, 407]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, 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Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
PatientMean methanol VMRs nmol/molMean 2-butanone VMRs nmol/molMean carbon disulfide VMRs nmol/molMean 2-pentanone VMRs nmol/molMean limonene VMRs nmol/mol
PrePostPre/postPrePostPre/postPrePostPre/postPrePostPre/postPrePostPre/post
F1200 (6)190 (3)1.1 (0.04)18 (1.2)11 (0.2)1.6 (0.1)[EMPTY_CELL]2.0 (0.4)2.4 (0.5)9.0 (0.8)5.3 (0.6)1.7 (0.2)7.5 (0.6)3.5 (0.6)2.1 (0.4)
F290 (9)230 (6)0.4 (0.04)16 (1.1)15 (1.9)1.1 (0.2)[EMPTY_CELL]20 (2.9)0.1 (0.03)8.3 (0.8)7.3 (0.6)1.1 (0.1)60 (4.7)1.1 (0.1)54 (6)
F3530 (2)78 (5)6.8 (0.4)21 (1.7)12 (2.6)1.8 (0.4)[EMPTY_CELL]2.3 (0.3)4.8 (0.8)10 (1.2)5.7 (0.3)1.8 (0.2)14 (0.7)2.3 (0.2)6.1 (0.6)
F4560 (18)71 (3)7.9 (0.4)19 (1.2)12 (0.4)1.6 (0.1)[EMPTY_CELL]2.3 (0.4)2.0 (0.4)25 (3.3)6.1 (0.3)4.1 (0.6)11 (0.5)2.3 (0.1)4.8 (0.3)
M1170 (2)120 (15)1.4 (0.2)26 (1.4)14 (1.4)1.9 (0.2)[EMPTY_CELL]2.1 (0.4)4.4 (0.9)10 (0.5)17 (2)0.6 (0.1)32 (0.7)3.3 (0.5)9.7 (1.5)
M2430 (36)81 (1)5.3 (0.4)13 (2.2)15 (1.7)0.9 (0.2)[EMPTY_CELL]2.4 (0.5)1.3 (0.3)23 (0.6)6.2 (1.5)3.7 (0.9)94 (3.4)1.6 (0.2)59 (8)
M3320 (32)86 (7)3.7 (0.5)55 (3.1)46 (4.2)1.2 (0.1)[EMPTY_CELL]1.8 (0.2)10 (1.6)29 (1.0)13 (1.2)2.2 (0.2)170 (1)5.7 (0.2)30 (1)
M4490 (37)93 (6)5.3 (0.5)38 (5.9)23 (7.5)1.7 (0.6)[EMPTY_CELL]2.6 (0.5)3.3 (0.7)38 (4.3)9.9 (0.9)3.8 (0.6)110 (6)55 (4)2.0 (0.2)
M5190 (3)320 (1)0.6 (0.01)15 (0.5)17 (1.3)0.9 (0.1)[EMPTY_CELL]3.6 (0.1)1.1 (0.1)21 (1.3)6.7 (0.5)3.1 (0.3)9.2 (0.5)4.1 (0.2)2.2 (0.2)
M6230 (12)79 (5)2.9 (0.2)30 (2.2)12 (3.3)2.5 (0.7)[EMPTY_CELL]2.1 (0.4)6.2 (1.5)13 (1.3)5.1 (0.2)2.5 (0.3)120 (8)4.8 (0.3)25 (2)
M7510 (21)160 (8)3.2 (0.2)19 (0.7)24 (4.2)0.8 (0.1)[EMPTY_CELL]4.5 (0.7)1.1 (0.3)14 (2.6)7.5 (0.3)1.9 (0.4)47 (2)2.6 (0.1)18 (1)
M8180 (5)86 (2)2.1 (0.07)21 (1.0)12 (0.4)1.8 (0.1)[EMPTY_CELL]1.9 (0.3)3.6 (0.7)8.8 (0.3)13 (1.6)0.7 (0.1)7.7 (0.6)3 (0.2)2.6 (0.3)
\", \"cells\": [{\"cell\": \"Patient\", \"bbox\": [6, 5, 29, 13]}, {\"cell\": \"Mean methanol VMRs nmol/mol\", \"bbox\": [34, 5, 100, 21]}, {\"cell\": \"Mean 2-butanone VMRs nmol/mol\", \"bbox\": [135, 5, 207, 21]}, {\"cell\": \"Mean carbon disulfide VMRs nmol/mol\", \"bbox\": [228, 5, 313, 21]}, {\"cell\": \"Mean 2-pentanone VMRs nmol/mol\", \"bbox\": [327, 5, 403, 21]}, {\"cell\": \"Mean limonene VMRs nmol/mol\", \"bbox\": [423, 5, 489, 21]}, {\"cell\": \"Pre\", \"bbox\": [34, 26, 46, 35]}, {\"cell\": \"Post\", \"bbox\": [67, 26, 81, 35]}, {\"cell\": \"Pre/post\", \"bbox\": [99, 26, 126, 35]}, {\"cell\": \"Pre\", \"bbox\": [135, 26, 146, 35]}, {\"cell\": \"Post\", \"bbox\": [165, 26, 180, 35]}, {\"cell\": \"Pre/post\", \"bbox\": [196, 26, 222, 35]}, {\"cell\": \"Pre\", \"bbox\": [228, 26, 239, 35]}, {\"cell\": \"Post\", \"bbox\": [260, 26, 274, 35]}, {\"cell\": \"Pre/post\", \"bbox\": [291, 26, 318, 35]}, {\"cell\": \"Pre\", \"bbox\": [327, 26, 339, 35]}, {\"cell\": \"Post\", \"bbox\": [359, 26, 373, 35]}, {\"cell\": \"Pre/post\", \"bbox\": [391, 26, 417, 35]}, {\"cell\": \"Pre\", \"bbox\": [423, 26, 434, 35]}, {\"cell\": \"Post\", \"bbox\": [457, 26, 471, 35]}, {\"cell\": \"Pre/post\", \"bbox\": [489, 26, 515, 35]}, {\"cell\": \"F1\", \"bbox\": [6, 39, 15, 48]}, {\"cell\": \"200 (6)\", \"bbox\": [34, 39, 58, 48]}, {\"cell\": \"190 (3)\", \"bbox\": [67, 39, 91, 48]}, {\"cell\": \"1.1 (0.04)\", \"bbox\": [99, 39, 130, 48]}, {\"cell\": \"18 (1.2)\", \"bbox\": [135, 39, 160, 48]}, {\"cell\": \"11 (0.2)\", \"bbox\": [165, 39, 191, 48]}, {\"cell\": \"1.6 (0.1)\", \"bbox\": [196, 39, 223, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 39, 254, 48]}, {\"cell\": \"2.0 (0.4)\", \"bbox\": [260, 39, 286, 48]}, {\"cell\": \"2.4 (0.5)\", \"bbox\": [291, 39, 318, 48]}, {\"cell\": \"9.0 (0.8)\", \"bbox\": [327, 39, 354, 48]}, {\"cell\": \"5.3 (0.6)\", \"bbox\": [359, 39, 386, 48]}, {\"cell\": \"1.7 (0.2)\", \"bbox\": [391, 39, 418, 48]}, {\"cell\": \"7.5 (0.6)\", 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\"[EMPTY_CELL]\", \"bbox\": [229, 91, 254, 99]}, {\"cell\": \"1.8 (0.2)\", \"bbox\": [260, 91, 286, 99]}, {\"cell\": \"10 (1.6)\", \"bbox\": [293, 91, 318, 99]}, {\"cell\": \"29 (1.0)\", \"bbox\": [328, 91, 354, 99]}, {\"cell\": \"13 (1.2)\", \"bbox\": [360, 91, 386, 99]}, {\"cell\": \"2.2 (0.2)\", \"bbox\": [391, 91, 418, 99]}, {\"cell\": \"170 (1)\", \"bbox\": [423, 91, 447, 99]}, {\"cell\": \"5.7 (0.2)\", \"bbox\": [457, 91, 484, 99]}, {\"cell\": \"30 (1)\", \"bbox\": [490, 91, 510, 99]}, {\"cell\": \"M4\", \"bbox\": [6, 99, 18, 108]}, {\"cell\": \"490 (37)\", \"bbox\": [34, 99, 62, 108]}, {\"cell\": \"93 (6)\", \"bbox\": [70, 99, 91, 108]}, {\"cell\": \"5.3 (0.5)\", \"bbox\": [99, 99, 126, 108]}, {\"cell\": \"38 (5.9)\", \"bbox\": [135, 99, 160, 108]}, {\"cell\": \"23 (7.5)\", \"bbox\": [165, 99, 191, 108]}, {\"cell\": \"1.7 (0.6)\", \"bbox\": [196, 99, 223, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 99, 254, 108]}, {\"cell\": \"2.6 (0.5)\", \"bbox\": [260, 99, 286, 108]}, {\"cell\": \"3.3 (0.7)\", \"bbox\": [291, 99, 318, 108]}, {\"cell\": \"38 (4.3)\", \"bbox\": [328, 99, 354, 108]}, {\"cell\": \"9.9 (0.9)\", \"bbox\": [359, 99, 386, 108]}, {\"cell\": \"3.8 (0.6)\", \"bbox\": [391, 99, 418, 108]}, {\"cell\": \"110 (6)\", \"bbox\": [423, 99, 447, 108]}, {\"cell\": \"55 (4)\", \"bbox\": [458, 99, 479, 108]}, {\"cell\": \"2.0 (0.2)\", \"bbox\": [489, 99, 516, 108]}, {\"cell\": \"M5\", \"bbox\": [6, 108, 18, 116]}, {\"cell\": \"190 (3)\", \"bbox\": [34, 108, 58, 116]}, {\"cell\": \"320 (1)\", \"bbox\": [67, 108, 91, 116]}, {\"cell\": \"0.6 (0.01)\", \"bbox\": [99, 108, 130, 116]}, {\"cell\": \"15 (0.5)\", \"bbox\": [135, 108, 160, 116]}, {\"cell\": \"17 (1.3)\", \"bbox\": [165, 108, 191, 116]}, {\"cell\": \"0.9 (0.1)\", \"bbox\": [196, 108, 223, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 108, 254, 116]}, {\"cell\": \"3.6 (0.1)\", \"bbox\": [260, 108, 286, 116]}, {\"cell\": \"1.1 (0.1)\", \"bbox\": [291, 108, 318, 116]}, {\"cell\": \"21 (1.3)\", \"bbox\": [328, 108, 354, 116]}, {\"cell\": \"6.7 (0.5)\", \"bbox\": [359, 108, 386, 116]}, {\"cell\": \"3.1 (0.3)\", \"bbox\": [391, 108, 418, 116]}, {\"cell\": \"9.2 (0.5)\", \"bbox\": [425, 108, 452, 116]}, {\"cell\": \"4.1 (0.2)\", \"bbox\": [457, 108, 484, 116]}, {\"cell\": \"2.2 (0.2)\", \"bbox\": [489, 108, 516, 116]}, {\"cell\": \"M6\", \"bbox\": [6, 116, 18, 125]}, {\"cell\": \"230 (12)\", \"bbox\": [34, 116, 62, 125]}, {\"cell\": \"79 (5)\", \"bbox\": [70, 116, 91, 125]}, {\"cell\": \"2.9 (0.2)\", \"bbox\": [99, 116, 126, 125]}, {\"cell\": \"30 (2.2)\", \"bbox\": [135, 116, 160, 125]}, {\"cell\": \"12 (3.3)\", \"bbox\": [165, 116, 191, 125]}, {\"cell\": \"2.5 (0.7)\", \"bbox\": [196, 116, 223, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 116, 254, 125]}, {\"cell\": \"2.1 (0.4)\", \"bbox\": [260, 116, 286, 125]}, {\"cell\": \"6.2 (1.5)\", \"bbox\": [291, 116, 318, 125]}, {\"cell\": \"13 (1.3)\", \"bbox\": [328, 116, 354, 125]}, {\"cell\": \"5.1 (0.2)\", \"bbox\": [359, 116, 386, 125]}, {\"cell\": \"2.5 (0.3)\", \"bbox\": [391, 116, 418, 125]}, {\"cell\": \"120 (8)\", \"bbox\": [423, 116, 447, 125]}, {\"cell\": \"4.8 (0.3)\", \"bbox\": [457, 116, 484, 125]}, {\"cell\": \"25 (2)\", \"bbox\": [490, 116, 510, 125]}, {\"cell\": \"M7\", \"bbox\": [6, 125, 18, 133]}, {\"cell\": \"510 (21)\", \"bbox\": [34, 125, 62, 133]}, {\"cell\": \"160 (8)\", \"bbox\": [67, 125, 91, 133]}, {\"cell\": \"3.2 (0.2)\", \"bbox\": [99, 125, 126, 133]}, {\"cell\": \"19 (0.7)\", \"bbox\": [135, 125, 160, 133]}, {\"cell\": \"24 (4.2)\", \"bbox\": [165, 125, 191, 133]}, {\"cell\": \"0.8 (0.1)\", \"bbox\": [196, 125, 223, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 125, 254, 133]}, {\"cell\": \"4.5 (0.7)\", \"bbox\": [260, 125, 286, 133]}, {\"cell\": \"1.1 (0.3)\", \"bbox\": [291, 125, 318, 133]}, {\"cell\": \"14 (2.6)\", \"bbox\": [328, 125, 354, 133]}, {\"cell\": \"7.5 (0.3)\", \"bbox\": [359, 125, 386, 133]}, {\"cell\": \"1.9 (0.4)\", \"bbox\": [391, 125, 418, 133]}, {\"cell\": \"47 (2)\", \"bbox\": [426, 125, 447, 133]}, {\"cell\": \"2.6 (0.1)\", \"bbox\": [457, 125, 484, 133]}, {\"cell\": \"18 (1)\", \"bbox\": [490, 125, 510, 133]}, {\"cell\": \"M8\", \"bbox\": [6, 133, 18, 142]}, {\"cell\": \"180 (5)\", \"bbox\": [34, 133, 58, 142]}, {\"cell\": \"86 (2)\", \"bbox\": [70, 133, 91, 142]}, {\"cell\": \"2.1 (0.07)\", \"bbox\": [99, 133, 130, 142]}, {\"cell\": \"21 (1.0)\", \"bbox\": [135, 133, 160, 142]}, {\"cell\": \"12 (0.4)\", \"bbox\": [165, 133, 191, 142]}, {\"cell\": \"1.8 (0.1)\", \"bbox\": [196, 133, 223, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 133, 254, 142]}, {\"cell\": \"1.9 (0.3)\", \"bbox\": [260, 133, 286, 142]}, {\"cell\": \"3.6 (0.7)\", \"bbox\": [291, 133, 318, 142]}, {\"cell\": \"8.8 (0.3)\", \"bbox\": [327, 133, 354, 142]}, {\"cell\": \"13 (1.6)\", \"bbox\": [360, 133, 386, 142]}, {\"cell\": \"0.7 (0.1)\", \"bbox\": [391, 133, 418, 142]}, {\"cell\": \"7.7 (0.6)\", \"bbox\": [425, 133, 452, 142]}, {\"cell\": \"3 (0.2)\", \"bbox\": [462, 133, 484, 142]}, {\"cell\": \"2.6 (0.3)\", \"bbox\": [489, 133, 516, 142]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4588000_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
ProcessClass IDDescriptionCDS
[EMPTY_CELL]DCell cycle control, cell division, chromosome partitioning28
[EMPTY_CELL]MCell wall/membrane/envelope biogenesis118
[EMPTY_CELL]NCell motility23
[EMPTY_CELL]OPost-translational modification, protein turnover, chaperones88
[EMPTY_CELL]TSignal transduction mechanisms51
[EMPTY_CELL]UIntracellular trafficking, secretion, and vesicular transport52
[EMPTY_CELL]VDefense mechanisms18
[EMPTY_CELL]JTranslation, ribosomal structure, and biogenesis144
[EMPTY_CELL]KTranscription68
[EMPTY_CELL]LReplication, recombination, and repair91
[EMPTY_CELL]CEnergy production and conversion129
[EMPTY_CELL]EAmino acid transport and metabolism131
[EMPTY_CELL]FNucleotide transport and metabolism52
[EMPTY_CELL]GCarbohydrate transport and metabolism54
[EMPTY_CELL]HCoenzyme transport and metabolism82
[EMPTY_CELL]ILipid transport and metabolism37
[EMPTY_CELL]PInorganic ion transport and metabolism88
[EMPTY_CELL]QSecondary metabolites biosynthesis, transport, and catabolism21
[EMPTY_CELL]RGeneral function prediction only221
[EMPTY_CELL]SFunction unknown121
\", \"cells\": [{\"cell\": \"Process\", \"bbox\": [1, 2, 30, 11]}, {\"cell\": \"Class ID\", \"bbox\": [79, 2, 109, 11]}, {\"cell\": \"Description\", \"bbox\": [120, 2, 161, 11]}, {\"cell\": \"CDS\", \"bbox\": [232, 2, 249, 11]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 19, 57, 37]}, {\"cell\": \"D\", \"bbox\": [91, 19, 98, 28]}, {\"cell\": \"Cell cycle control, cell division, chromosome partitioning\", \"bbox\": [120, 19, 213, 37]}, {\"cell\": \"28\", \"bbox\": [236, 19, 245, 28]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"M\", \"bbox\": [90, 40, 98, 49]}, {\"cell\": \"Cell wall/membrane/envelope biogenesis\", \"bbox\": [120, 40, 210, 58]}, {\"cell\": \"118\", \"bbox\": [234, 40, 247, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"N\", \"bbox\": [91, 61, 98, 70]}, {\"cell\": \"Cell motility\", \"bbox\": [120, 61, 156, 70]}, {\"cell\": \"23\", \"bbox\": [236, 61, 245, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"O\", \"bbox\": [91, 72, 98, 81]}, {\"cell\": \"Post-translational modification, protein turnover, chaperones\", \"bbox\": [120, 72, 214, 90]}, {\"cell\": \"88\", \"bbox\": [236, 72, 245, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"T\", \"bbox\": [91, 93, 97, 102]}, {\"cell\": \"Signal transduction mechanisms\", \"bbox\": [120, 93, 179, 111]}, {\"cell\": \"51\", \"bbox\": [236, 93, 245, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"U\", \"bbox\": [91, 114, 98, 123]}, {\"cell\": \"Intracellular trafficking, secretion, and vesicular transport\", \"bbox\": [120, 114, 193, 142]}, {\"cell\": \"52\", \"bbox\": [236, 114, 245, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"V\", \"bbox\": [91, 144, 97, 153]}, {\"cell\": \"Defense mechanisms\", \"bbox\": [120, 144, 187, 153]}, {\"cell\": \"18\", \"bbox\": [236, 144, 245, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 156, 61, 174]}, {\"cell\": \"J\", \"bbox\": [91, 156, 97, 164]}, {\"cell\": \"Translation, ribosomal structure, and biogenesis\", \"bbox\": [120, 156, 198, 174]}, {\"cell\": \"144\", \"bbox\": [234, 156, 247, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"K\", \"bbox\": [91, 175, 97, 184]}, {\"cell\": \"Transcription\", \"bbox\": [120, 175, 160, 184]}, {\"cell\": \"68\", \"bbox\": [236, 175, 245, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"L\", \"bbox\": [91, 187, 97, 195]}, {\"cell\": \"Replication, recombination, and repair\", \"bbox\": [120, 187, 217, 205]}, {\"cell\": \"91\", \"bbox\": [236, 187, 245, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 207, 37, 216]}, {\"cell\": \"C\", \"bbox\": [91, 207, 98, 216]}, {\"cell\": \"Energy production and conversion\", \"bbox\": [120, 207, 190, 225]}, {\"cell\": \"129\", \"bbox\": [234, 207, 247, 216]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"E\", \"bbox\": [91, 228, 97, 237]}, {\"cell\": \"Amino acid transport and metabolism\", \"bbox\": [120, 228, 198, 246]}, {\"cell\": \"131\", \"bbox\": [234, 228, 247, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"F\", \"bbox\": [91, 249, 97, 258]}, {\"cell\": \"Nucleotide transport and metabolism\", \"bbox\": [120, 249, 197, 267]}, {\"cell\": \"52\", \"bbox\": [236, 249, 245, 258]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"G\", \"bbox\": [91, 270, 98, 278]}, {\"cell\": \"Carbohydrate transport and metabolism\", \"bbox\": [120, 270, 206, 288]}, {\"cell\": \"54\", \"bbox\": [236, 270, 245, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"H\", \"bbox\": [91, 291, 98, 299]}, {\"cell\": \"Coenzyme transport and metabolism\", \"bbox\": [120, 291, 197, 309]}, {\"cell\": \"82\", \"bbox\": [236, 291, 245, 299]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"I\", \"bbox\": [92, 312, 96, 320]}, {\"cell\": \"Lipid transport and metabolism\", \"bbox\": [120, 312, 216, 320]}, {\"cell\": \"37\", \"bbox\": [236, 312, 245, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"P\", \"bbox\": [91, 323, 97, 331]}, {\"cell\": \"Inorganic ion transport and metabolism\", \"bbox\": [120, 323, 203, 341]}, {\"cell\": \"88\", \"bbox\": [236, 323, 245, 331]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Q\", \"bbox\": [91, 344, 98, 352]}, {\"cell\": \"Secondary metabolites biosynthesis, transport, and catabolism\", \"bbox\": [120, 344, 205, 371]}, {\"cell\": \"21\", \"bbox\": [236, 344, 245, 352]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 374, 64, 383]}, {\"cell\": \"R\", \"bbox\": [91, 374, 97, 383]}, {\"cell\": \"General function prediction only\", \"bbox\": [120, 374, 217, 383]}, {\"cell\": \"221\", \"bbox\": [234, 374, 247, 383]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"S\", \"bbox\": [91, 385, 97, 394]}, {\"cell\": \"Function unknown\", \"bbox\": [120, 385, 177, 394]}, {\"cell\": \"121\", \"bbox\": [234, 385, 247, 394]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4674564_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Case n°SourceYearAge (sex)LocationSize (mm)Type of thepancreatitisPathogenesis¥SurgicaltreatmentFollow-up(months)
1Augustin et al. [4]198430 (male)Body[EMPTY_CELL]...OpeningLeft pancreatectomy+splenectomy...
2Papadimitriou [5]198735 (male)Head[EMPTY_CELL]EdematousOpeningcyst fenestration12
4Ozmen et al. [7]200518 (female)Head[EMPTY_CELL]NecrotizingCompressionTotal cystectomy16
5Pouget et al. [8]200929 (male)Body[EMPTY_CELL]EdematousOpeningLeft pancreatectomy+splenectomy3
6Diop et al. [9]201029 (male)Tail[EMPTY_CELL]EdematousOpeningLeft pancreatectomy48
7Karakas et al. [10]201018 (male)Body[EMPTY_CELL]EdematousOpeningcyst fenestration4
8Chammakhi et al. [11]201032 (Female)Tail[EMPTY_CELL]NecrotizingOpeningLeft pancreatectomy+splenectomy6
9Present case201138 (male)Body[EMPTY_CELL]EdematousOpeningLeft pancreatectomy+splenectomy3
\", \"cells\": [{\"cell\": \"Case n°\", \"bbox\": [1, 4, 26, 22]}, {\"cell\": \"Source\", \"bbox\": [52, 4, 78, 13]}, {\"cell\": \"Year\", \"bbox\": [103, 4, 120, 13]}, {\"cell\": \"Age (sex)\", \"bbox\": [126, 4, 160, 13]}, {\"cell\": \"Location\", \"bbox\": [165, 4, 197, 13]}, {\"cell\": \"Size (mm)\", \"bbox\": [208, 4, 228, 22]}, {\"cell\": \"Type of thepancreatitis\", \"bbox\": [239, 4, 281, 22]}, {\"cell\": \"Pathogenesis¥\", \"bbox\": [286, 4, 332, 22]}, {\"cell\": \"Surgicaltreatment\", \"bbox\": [372, 4, 408, 22]}, {\"cell\": \"Follow-up(months)\", \"bbox\": [448, 4, 484, 22]}, {\"cell\": \"1\", \"bbox\": [1, 26, 6, 36]}, {\"cell\": \"Augustin et al. [4]\", \"bbox\": [35, 26, 94, 36]}, {\"cell\": \"1984\", \"bbox\": [103, 26, 120, 36]}, {\"cell\": \"30 (male)\", \"bbox\": [127, 26, 159, 36]}, {\"cell\": \"Body\", \"bbox\": [172, 26, 190, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 26, 221, 36]}, {\"cell\": \"...\", \"bbox\": [257, 26, 263, 36]}, {\"cell\": \"Opening\", \"bbox\": [294, 26, 324, 36]}, {\"cell\": \"Left pancreatectomy+splenectomy\", \"bbox\": [356, 26, 424, 45]}, {\"cell\": \"...\", \"bbox\": [463, 26, 469, 36]}, {\"cell\": \"2\", \"bbox\": [1, 48, 6, 58]}, {\"cell\": \"Papadimitriou [5]\", \"bbox\": [36, 48, 93, 58]}, {\"cell\": \"1987\", \"bbox\": [103, 48, 120, 58]}, {\"cell\": \"35 (male)\", \"bbox\": [127, 48, 159, 58]}, {\"cell\": \"Head\", \"bbox\": [172, 48, 190, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 48, 223, 58]}, {\"cell\": \"Edematous\", \"bbox\": [241, 48, 279, 58]}, {\"cell\": \"Opening\", \"bbox\": [294, 48, 324, 58]}, {\"cell\": \"cyst fenestration\", \"bbox\": [363, 48, 417, 58]}, {\"cell\": \"12\", \"bbox\": [461, 48, 471, 58]}, {\"cell\": \"4\", \"bbox\": [1, 61, 6, 71]}, {\"cell\": \"Ozmen et al. [7]\", \"bbox\": [38, 61, 92, 71]}, {\"cell\": \"2005\", \"bbox\": [103, 61, 120, 71]}, {\"cell\": \"18 (female)\", \"bbox\": [129, 61, 157, 80]}, {\"cell\": \"Head\", \"bbox\": [172, 61, 190, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 61, 223, 71]}, {\"cell\": \"Necrotizing\", \"bbox\": [241, 61, 279, 71]}, {\"cell\": \"Compression\", \"bbox\": [287, 61, 331, 71]}, {\"cell\": \"Total cystectomy\", \"bbox\": [362, 61, 418, 71]}, {\"cell\": \"16\", \"bbox\": [461, 61, 471, 71]}, {\"cell\": \"5\", \"bbox\": [1, 84, 6, 93]}, {\"cell\": \"Pouget et al. [8]\", \"bbox\": [38, 84, 92, 93]}, {\"cell\": \"2009\", \"bbox\": [103, 84, 120, 93]}, {\"cell\": \"29 (male)\", \"bbox\": [127, 84, 159, 93]}, {\"cell\": \"Body\", \"bbox\": [172, 84, 190, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 84, 223, 93]}, {\"cell\": \"Edematous\", \"bbox\": [241, 84, 279, 93]}, {\"cell\": \"Opening\", \"bbox\": [294, 84, 324, 93]}, {\"cell\": \"Left pancreatectomy+splenectomy\", \"bbox\": [356, 84, 424, 102]}, {\"cell\": \"3\", \"bbox\": [463, 84, 469, 93]}, {\"cell\": \"6\", \"bbox\": [0, 105, 6, 114]}, {\"cell\": \"Diop et al. [9]\", \"bbox\": [42, 105, 88, 114]}, {\"cell\": \"2010\", \"bbox\": [103, 105, 120, 114]}, {\"cell\": \"29 (male)\", \"bbox\": [127, 105, 159, 114]}, {\"cell\": \"Tail\", \"bbox\": [175, 105, 187, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 105, 223, 114]}, {\"cell\": \"Edematous\", \"bbox\": [241, 105, 279, 114]}, {\"cell\": \"Opening\", \"bbox\": [294, 105, 324, 114]}, {\"cell\": \"Left pancreatectomy\", \"bbox\": [356, 105, 424, 114]}, {\"cell\": \"48\", \"bbox\": [461, 105, 471, 114]}, {\"cell\": \"7\", \"bbox\": [0, 117, 6, 126]}, {\"cell\": \"Karakas et al. [10]\", \"bbox\": [36, 117, 94, 126]}, {\"cell\": \"2010\", \"bbox\": [103, 117, 120, 126]}, {\"cell\": \"18 (male)\", \"bbox\": [127, 117, 159, 126]}, {\"cell\": \"Body\", \"bbox\": [172, 117, 190, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 117, 223, 126]}, {\"cell\": \"Edematous\", \"bbox\": [241, 117, 279, 126]}, {\"cell\": \"Opening\", \"bbox\": [294, 117, 324, 126]}, {\"cell\": \"cyst fenestration\", \"bbox\": [363, 117, 417, 126]}, {\"cell\": \"4\", \"bbox\": [463, 117, 469, 126]}, {\"cell\": \"8\", \"bbox\": [0, 128, 6, 138]}, {\"cell\": \"Chammakhi et al. [11]\", \"bbox\": [36, 128, 94, 147]}, {\"cell\": \"2010\", \"bbox\": [103, 128, 120, 138]}, {\"cell\": \"32 (Female)\", \"bbox\": [128, 128, 157, 147]}, {\"cell\": \"Tail\", \"bbox\": [175, 128, 187, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 128, 223, 138]}, {\"cell\": \"Necrotizing\", \"bbox\": [241, 128, 279, 138]}, {\"cell\": \"Opening\", \"bbox\": [294, 128, 324, 138]}, {\"cell\": \"Left pancreatectomy+splenectomy\", \"bbox\": [356, 128, 424, 147]}, {\"cell\": \"6\", \"bbox\": [463, 128, 469, 138]}, {\"cell\": \"9\", \"bbox\": [0, 149, 6, 159]}, {\"cell\": \"Present case\", \"bbox\": [44, 149, 86, 159]}, {\"cell\": \"2011\", \"bbox\": [103, 149, 120, 159]}, {\"cell\": \"38 (male)\", \"bbox\": [127, 149, 159, 159]}, {\"cell\": \"Body\", \"bbox\": [172, 149, 190, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 149, 225, 159]}, {\"cell\": \"Edematous\", \"bbox\": [241, 149, 279, 159]}, {\"cell\": \"Opening\", \"bbox\": [294, 149, 324, 159]}, {\"cell\": \"Left pancreatectomy+splenectomy\", \"bbox\": [356, 149, 424, 168]}, {\"cell\": \"3\", \"bbox\": [463, 149, 469, 159]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3325852_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Norway*United Kingdom†USA‡Australia§
HbA1c treatment target[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Children/Type 1 < 18 years[EMPTY_CELL][EMPTY_CELL]< 7%[EMPTY_CELL]
Type 1 > 18 years[EMPTY_CELL][EMPTY_CELL]< 7%[EMPTY_CELL]
Type 2[EMPTY_CELL][EMPTY_CELL]< 7%[EMPTY_CELL]
Younger (<80 years)< 7%[EMPTY_CELL]< 7%[EMPTY_CELL]
Older (>80 years)< 9%[EMPTY_CELL]< 7%[EMPTY_CELL]
Screening for diabetic retinopathy[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
First examination[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Children/Type 1<18 years[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]At puberty
< 30 years/Type 15 years after diagnosis[EMPTY_CELL]5 years after diagnosisAt diagnosis
> 30 years/Type 2At diagnosis[EMPTY_CELL]At diagnosisAt diagnosis
Follow-up in absence of retinopathy[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Children/Type 1 < 18 years[EMPTY_CELL][EMPTY_CELL]AnnuallyAt least biannually
< 30 years/Type 1Annually[EMPTY_CELL]AnnuallyAt least biannually
> 30 years/Type 2Annually/Biannually[EMPTY_CELL]AnnuallyAt least biannually
Follow-up in retinopathyIndividual[EMPTY_CELL]IndividualIndividual
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Norway*\", \"bbox\": [195, 4, 231, 14]}, {\"cell\": \"United Kingdom†\", \"bbox\": [263, 4, 332, 14]}, {\"cell\": \"USA‡\", \"bbox\": [371, 4, 394, 14]}, {\"cell\": \"Australia§\", \"bbox\": [444, 4, 483, 14]}, {\"cell\": \"HbA1c treatment target\", \"bbox\": [4, 27, 101, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Children/Type 1 < 18 years\", \"bbox\": [14, 37, 108, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 37, 310, 47]}, {\"cell\": \"< 7%\", \"bbox\": [373, 37, 392, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Type 1 > 18 years\", \"bbox\": [14, 47, 77, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 47, 310, 57]}, {\"cell\": \"< 7%\", \"bbox\": [373, 47, 392, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Type 2\", \"bbox\": [14, 57, 39, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 57, 314, 67]}, {\"cell\": \"< 7%\", \"bbox\": [373, 57, 392, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Younger (<80 years)\", \"bbox\": [14, 68, 85, 77]}, {\"cell\": \"< 7%\", \"bbox\": [204, 68, 223, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"< 7%\", \"bbox\": [373, 68, 392, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Older (>80 years)\", \"bbox\": [14, 78, 77, 88]}, {\"cell\": \"< 9%\", \"bbox\": [204, 78, 223, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"< 7%\", \"bbox\": [373, 78, 392, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Screening for diabetic retinopathy\", \"bbox\": [4, 88, 138, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" First examination\", \"bbox\": [14, 99, 85, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Children/Type 1<18 years\", \"bbox\": [14, 109, 104, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [271, 109, 325, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"At puberty\", \"bbox\": [444, 109, 483, 118]}, {\"cell\": \" < 30 years/Type 1\", \"bbox\": [14, 119, 77, 129]}, {\"cell\": \"5 years after diagnosis\", \"bbox\": [175, 119, 251, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [277, 119, 319, 129]}, {\"cell\": \"5 years after diagnosis\", \"bbox\": [344, 119, 420, 129]}, {\"cell\": \"At diagnosis\", \"bbox\": [442, 119, 485, 129]}, {\"cell\": \" > 30 years/Type 2\", \"bbox\": [14, 129, 77, 139]}, {\"cell\": \"At diagnosis\", \"bbox\": [192, 129, 235, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [277, 129, 319, 139]}, {\"cell\": \"At diagnosis\", \"bbox\": [361, 129, 403, 139]}, {\"cell\": \"At diagnosis\", \"bbox\": [442, 129, 485, 139]}, {\"cell\": \" Follow-up in absence of retinopathy\", \"bbox\": [14, 140, 154, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Children/Type 1 < 18 years\", \"bbox\": [14, 150, 108, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [283, 150, 313, 159]}, {\"cell\": \"Annually\", \"bbox\": [367, 150, 398, 159]}, {\"cell\": \"At least biannually\", \"bbox\": [432, 150, 495, 159]}, {\"cell\": \" < 30 years/Type 1\", \"bbox\": [14, 160, 77, 170]}, {\"cell\": \"Annually\", \"bbox\": [198, 160, 229, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 160, 313, 170]}, {\"cell\": \"Annually\", \"bbox\": [367, 160, 398, 170]}, {\"cell\": \"At least biannually\", \"bbox\": [432, 160, 495, 170]}, {\"cell\": \" > 30 years/Type 2\", \"bbox\": [14, 170, 77, 180]}, {\"cell\": \"Annually/Biannually\", \"bbox\": [180, 170, 246, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [283, 170, 313, 180]}, {\"cell\": \"Annually\", \"bbox\": [367, 170, 398, 180]}, {\"cell\": \"At least biannually\", \"bbox\": [432, 170, 495, 180]}, {\"cell\": \" Follow-up in retinopathy\", \"bbox\": [14, 181, 111, 190]}, {\"cell\": \"Individual\", \"bbox\": [197, 180, 230, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 180, 315, 190]}, {\"cell\": \"Individual\", \"bbox\": [366, 180, 399, 190]}, {\"cell\": \"Individual\", \"bbox\": [447, 180, 480, 190]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2525638_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
AssayTargetForward primerProbeReverse primer
[EMPTY_CELL]Peptostreptococcaceae sp. COT-005CGTAACCGAGGAAATTTTTCGATGGAATCAGTTACGTTTAGTGGCAGGTTGCCCACGTGTT
[EMPTY_CELL]Peptostreptococcus sp. COT-033CGCGGTTGTGCTTAGTATTGAGCACAACTGAGCGGCGGTCCATGTGTATAGGGCAGGTTACC
[EMPTY_CELL]Neisseria animaloris COT-016AACTGTCCGAAAGGATGGCTAAATATTCTCTGAGGAGGAAAGCGCAAGGCCCGAAGGT
[EMPTY_CELL]Porphyromonas sp. IJD1952CTTGCCTGATAGAAAGGGATAACCTGAAAGTCGGACTAATACTCATGCAATAACCCAAGACCATA
[EMPTY_CELL]Porphyromonas canoris COT-108ATGGCGACCGGCGGATCCCCTCTGACAGGTAAGTTGCATACGCCTTGAAATACCATGCAGYATCTCAAG
[EMPTY_CELL]Porphyromonas gulae II COT-052GTTGAAAGACGGACTAATACCCCTTGCCCGRTCATGCAACCAAGCAAGCATGCCTATCTTACAGCTATAAAT
[EMPTY_CELL]Pasteurellaceae [G-2] sp. COT-080CCTTCGGGTTGTAAAGTTCTTAAGGTATCAACTWTAATAGAGTTGGTAAWDGACGTTATTGCTGGCACGGAGTTAG
[EMPTY_CELL]Odoribacter denticanis COT-084GGGTAACAGGCGGTAGCAATACATGCAATCTACCTTTTACCAAAGAAATGCATCGGGTATTAATCC
[EMPTY_CELL]Globicatella sp. COT-107CGGAAGGAGAACTTGTTCTTTGGATGTTACTCACCCGTGCGCCACTGGTATTAGCACTCGTTTCCCAGT
[EMPTY_CELL]Lachnospiraceae sp. COT-036GAAGCRCGGGAAGCGGAAGTCGTTACTCACCCGTCCGCCACTCTTTTCCCTCYGTATCATGCGATAC
[EMPTY_CELL]Peptococcus sp. COT-044CGCATAATATCTCTTTATYGCATGATAGCTAAACGACAGCDCTAAGGCCGTCTTTTACTGATCGTCGCCTTGGT
[EMPTY_CELL]Filifactor sp. COT-064GGTGCGTAACGTGTGGGTAACCTTTGTCATGGGAATAATTCGGTATTAGCTGCTCTTTCAAG
[EMPTY_CELL]Peptostreptococcus sp. COT-227GCGACTGATTTGATGCTTGCCACCCGTCCGCCGCTCAACTTTCATAACTTTTCAGTATGTTATCCATGTGTA
[EMPTY_CELL]Clostridiales sp. COT-388GGAAGAAGACTTCGGTCAACGGACGTTACTCACCCGTCCGCCACTCATTTGGATGCCCATTCGGTATG
[EMPTY_CELL]Tissierella sp. COT-029GAAGAACCTGCCTTTCACATAGGACGGGATTAATACCAAATGACCCCAAAAACATGCGATCTC
[EMPTY_CELL]Chloroflexi sp. COT-306GAACGGGTGCAGCGATGTTGTTACTCACCCGTGCGCCACTTAATCTGAGACAGCTTATGCGGT
[EMPTY_CELL]Conchiformibius steedae COT-280GGGATAACTTGCCGAAAGGTAAACCTCGCGTTATCCGAGCGGCCTAGGCTTTTACCCCACCAACT
[EMPTY_CELL]All genusCTCCTACGGGAGGCAGCAGCCAGCAGCCGCGGTGGACTACCAGGGTATCTAATCCTGTT
[EMPTY_CELL][EMPTY_CELL]CCTGCGGGAGGCAGC[EMPTY_CELL]TACCGGGGTATCTAATCCCGTT
[EMPTY_CELL][EMPTY_CELL]CTTCTACGGAAGGCAGCAGTAG[EMPTY_CELL]ACTACCAGGGTATCTAGTCCTGTTCG
[EMPTY_CELL][EMPTY_CELL]CTTCTACGGGAGGCAGCAG[EMPTY_CELL]GACTACCAGGGTGTCTAATCCTGTT
[EMPTY_CELL][EMPTY_CELL]CGACGGGAGGCAGCAG[EMPTY_CELL]GACTACTAGGGTATCTAATCCTGTTTGC
[EMPTY_CELL][EMPTY_CELL]CTACGGGAGGCGGCAG[EMPTY_CELL]GACTACCAAGGTATCTAATCCTGTTTGC
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]GACTACCAGGGAATCTAATCCTGTTT
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]GACTATCAGGGTACCTAATCCTGTTTG
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]GACTACCGGAGTATCTAATTCCGTTC
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]GACTACCAGGGTATCTAATCCCGTT
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]CGGGGCATCTAATCCCGT
\", \"cells\": [{\"cell\": \"Assay\", \"bbox\": [1, 4, 22, 13]}, {\"cell\": \"Target\", \"bbox\": [49, 4, 73, 13]}, {\"cell\": \"Forward primer\", \"bbox\": [183, 4, 239, 13]}, {\"cell\": \"Probe\", \"bbox\": [327, 4, 349, 13]}, {\"cell\": \"Reverse primer\", \"bbox\": [522, 4, 576, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 27, 27]}, {\"cell\": \"Peptostreptococcaceae sp. COT-005\", \"bbox\": [49, 17, 162, 27]}, {\"cell\": \"CGTAACCGAGGAAATTTTTCGA\", \"bbox\": [183, 17, 282, 27]}, {\"cell\": \"TGGAATCAGTTACGTTTAGTG\", \"bbox\": [327, 17, 420, 27]}, {\"cell\": \"GCAGGTTGCCCACGTGTT\", \"bbox\": [522, 17, 603, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 31, 27, 40]}, {\"cell\": \"Peptostreptococcus sp. COT-033\", \"bbox\": [49, 31, 150, 41]}, {\"cell\": \"CGCGGTTGTGCTTAGTATTGAG\", \"bbox\": [183, 31, 281, 40]}, {\"cell\": \"CACAACTGAGCGGCGG\", \"bbox\": [327, 31, 403, 40]}, {\"cell\": \"TCCATGTGTATAGGGCAGGTTACC\", \"bbox\": [522, 31, 629, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 45, 27, 54]}, {\"cell\": \"Neisseria animaloris COT-016\", \"bbox\": [49, 45, 142, 55]}, {\"cell\": \"AACTGTCCGAAAGGATGGCTAA\", \"bbox\": [183, 45, 284, 54]}, {\"cell\": \"ATATTCTCTGAGGAGGAAAG\", \"bbox\": [327, 45, 418, 54]}, {\"cell\": \"CGCAAGGCCCGAAGGT\", \"bbox\": [522, 45, 598, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 59, 27, 68]}, {\"cell\": \"Porphyromonas sp. IJD1952\", \"bbox\": [49, 59, 138, 69]}, {\"cell\": \"CTTGCCTGATAGAAAGGGATAACC\", \"bbox\": [183, 59, 293, 68]}, {\"cell\": \"TGAAAGTCGGACTAATAC\", \"bbox\": [327, 59, 409, 68]}, {\"cell\": \"TCATGCAATAACCCAAGACCATA\", \"bbox\": [522, 59, 626, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 73, 27, 82]}, {\"cell\": \"Porphyromonas canoris COT-108\", \"bbox\": [49, 73, 153, 83]}, {\"cell\": \"ATGGCGACCGGCGGAT\", \"bbox\": [183, 73, 259, 82]}, {\"cell\": \"CCCCTCTGACAGGTAAGTTGCATACGC\", \"bbox\": [327, 73, 448, 82]}, {\"cell\": \"CTTGAAATACCATGCAGYATCTCAAG\", \"bbox\": [522, 73, 638, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 87, 27, 96]}, {\"cell\": \"Porphyromonas gulae II COT-052\", \"bbox\": [49, 87, 154, 97]}, {\"cell\": \"GTTGAAAGACGGACTAATACC\", \"bbox\": [183, 87, 280, 96]}, {\"cell\": \"CCTTGCCCGRTCATGCAACCAAGCAAG\", \"bbox\": [327, 87, 449, 96]}, {\"cell\": \"CATGCCTATCTTACAGCTATAAAT\", \"bbox\": [522, 87, 627, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 101, 27, 110]}, {\"cell\": \"Pasteurellaceae [G-2] sp. COT-080\", \"bbox\": [49, 101, 155, 111]}, {\"cell\": \"CCTTCGGGTTGTAAAGTTCTT\", \"bbox\": [183, 101, 275, 110]}, {\"cell\": \"AAGGTATCAACTWTAATAGAGTTGGTAAWDGACGTTAT\", \"bbox\": [327, 101, 500, 110]}, {\"cell\": \"TGCTGGCACGGAGTTAG\", \"bbox\": [522, 101, 600, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 115, 27, 124]}, {\"cell\": \"Odoribacter denticanis COT-084\", \"bbox\": [49, 115, 150, 125]}, {\"cell\": \"GGGTAACAGGCGGTAGCAATAC\", \"bbox\": [183, 115, 286, 124]}, {\"cell\": \"ATGCAATCTACCTTTTACC\", \"bbox\": [327, 115, 409, 124]}, {\"cell\": \"AAAGAAATGCATCGGGTATTAATCC\", \"bbox\": [522, 115, 635, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 129, 27, 138]}, {\"cell\": \"Globicatella sp. COT-107\", \"bbox\": [49, 129, 127, 139]}, {\"cell\": \"CGGAAGGAGAACTTGTTCTTTGGA\", \"bbox\": [183, 129, 291, 138]}, {\"cell\": \"TGTTACTCACCCGTGCGCCACT\", \"bbox\": [327, 129, 425, 138]}, {\"cell\": \"GGTATTAGCACTCGTTTCCCAGT\", \"bbox\": [522, 129, 623, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 143, 27, 152]}, {\"cell\": \"Lachnospiraceae sp. COT-036\", \"bbox\": [49, 143, 143, 153]}, {\"cell\": \"GAAGCRCGGGAAGCGGAAGT\", \"bbox\": [183, 143, 278, 152]}, {\"cell\": \"CGTTACTCACCCGTCCGCCACT\", \"bbox\": [327, 143, 425, 152]}, {\"cell\": \"CTTTTCCCTCYGTATCATGCGATAC\", \"bbox\": [522, 143, 630, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 157, 27, 166]}, {\"cell\": \"Peptococcus sp. COT-044\", \"bbox\": [49, 157, 130, 167]}, {\"cell\": \"CGCATAATATCTCTTTATYGCATGATAG\", \"bbox\": [183, 157, 305, 166]}, {\"cell\": \"CTAAACGACAGCDCTAAGGCCGTCTTT\", \"bbox\": [327, 157, 449, 166]}, {\"cell\": \"TACTGATCGTCGCCTTGGT\", \"bbox\": [522, 157, 606, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 171, 27, 180]}, {\"cell\": \"Filifactor sp. COT-064\", \"bbox\": [49, 171, 118, 181]}, {\"cell\": \"GGTGCGTAACGTGTGGGTAA\", \"bbox\": [183, 171, 275, 180]}, {\"cell\": \"CCTTTGTCATGGGAATAA\", \"bbox\": [327, 171, 407, 180]}, {\"cell\": \"TTCGGTATTAGCTGCTCTTTCAAG\", \"bbox\": [522, 171, 626, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 185, 27, 194]}, {\"cell\": \"Peptostreptococcus sp. COT-227\", \"bbox\": [49, 185, 151, 195]}, {\"cell\": \"GCGACTGATTTGATGCTTGC\", \"bbox\": [183, 185, 272, 194]}, {\"cell\": \"CACCCGTCCGCCGCTCAACTTTCAT\", \"bbox\": [327, 185, 438, 194]}, {\"cell\": \"AACTTTTCAGTATGTTATCCATGTGTA\", \"bbox\": [522, 185, 638, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 199, 27, 208]}, {\"cell\": \"Clostridiales sp. COT-388\", \"bbox\": [49, 199, 128, 209]}, {\"cell\": \"GGAAGAAGACTTCGGTCAACGGA\", \"bbox\": [183, 199, 291, 208]}, {\"cell\": \"CGTTACTCACCCGTCCGCCACT\", \"bbox\": [327, 199, 425, 208]}, {\"cell\": \"CATTTGGATGCCCATTCGGTATG\", \"bbox\": [522, 199, 624, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 213, 27, 222]}, {\"cell\": \"Tissierella sp. COT-029\", \"bbox\": [49, 213, 121, 222]}, {\"cell\": \"GAAGAACCTGCCTTTCACATAGGA\", \"bbox\": [183, 213, 292, 222]}, {\"cell\": \"CGGGATTAATACCAAATGA\", \"bbox\": [327, 213, 414, 222]}, {\"cell\": \"CCCCAAAAACATGCGATCTC\", \"bbox\": [522, 213, 613, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 227, 27, 236]}, {\"cell\": \"Chloroflexi sp. COT-306\", \"bbox\": [49, 227, 123, 237]}, {\"cell\": \"GAACGGGTGCAGCGATGT\", \"bbox\": [183, 227, 267, 236]}, {\"cell\": \"TGTTACTCACCCGTGCGCCACT\", \"bbox\": [327, 227, 425, 236]}, {\"cell\": \"TAATCTGAGACAGCTTATGCGGT\", \"bbox\": [522, 227, 625, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 241, 27, 250]}, {\"cell\": \"Conchiformibius steedae COT-280\", \"bbox\": [49, 241, 156, 251]}, {\"cell\": \"GGGATAACTTGCCGAAAGGTAA\", \"bbox\": [183, 241, 285, 250]}, {\"cell\": \"ACCTCGCGTTATCCGAGCGGCC\", \"bbox\": [327, 241, 427, 250]}, {\"cell\": \"TAGGCTTTTACCCCACCAACT\", \"bbox\": [522, 241, 615, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 255, 20, 265]}, {\"cell\": \"All genus\", \"bbox\": [49, 255, 81, 265]}, {\"cell\": \"CTCCTACGGGAGGCAGCAG\", \"bbox\": [183, 255, 272, 265]}, {\"cell\": \"CCAGCAGCCGCGGT\", \"bbox\": [327, 255, 393, 265]}, {\"cell\": \"GGACTACCAGGGTATCTAATCCTGTT\", \"bbox\": [522, 255, 637, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 269, 20, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CCTGCGGGAGGCAGC\", \"bbox\": [183, 269, 255, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TACCGGGGTATCTAATCCCGTT\", \"bbox\": [522, 269, 620, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 283, 20, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CTTCTACGGAAGGCAGCAGTAG\", \"bbox\": [183, 283, 285, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"ACTACCAGGGTATCTAGTCCTGTTCG\", \"bbox\": [522, 283, 637, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 297, 20, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CTTCTACGGGAGGCAGCAG\", \"bbox\": [183, 297, 272, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"GACTACCAGGGTGTCTAATCCTGTT\", \"bbox\": [522, 297, 633, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 311, 20, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CGACGGGAGGCAGCAG\", \"bbox\": [183, 311, 261, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"GACTACTAGGGTATCTAATCCTGTTTGC\", \"bbox\": [522, 311, 645, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 325, 20, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CTACGGGAGGCGGCAG\", \"bbox\": [183, 325, 260, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"GACTACCAAGGTATCTAATCCTGTTTGC\", \"bbox\": [522, 325, 645, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 339, 20, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"GACTACCAGGGAATCTAATCCTGTTT\", \"bbox\": [522, 339, 637, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 353, 20, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"GACTATCAGGGTACCTAATCCTGTTTG\", \"bbox\": [522, 353, 641, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 367, 20, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"GACTACCGGAGTATCTAATTCCGTTC\", \"bbox\": [522, 367, 637, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 381, 20, 390]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"GACTACCAGGGTATCTAATCCCGTT\", \"bbox\": [522, 381, 633, 390]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 395, 20, 404]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CGGGGCATCTAATCCCGT\", \"bbox\": [522, 395, 604, 404]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4236526_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
CountryYearScreened (N)Outlets the met screening criteriaAnti-malarial audit complete (N)Anti-malarials audited (N)QA ACT audited (N)
West & Central Africa
Nigeria200954562210[EMPTY_CELL]20,8411192
2011793815671486[EMPTY_CELL]2119
2013514818281714[EMPTY_CELL]4799
201513,48336243473[EMPTY_CELL]9581
East Africa
Kenya201013,8972625[EMPTY_CELL]83762052
201111,38321121854[EMPTY_CELL]3669
201412,67624772133[EMPTY_CELL]3234
Tanzania20103120710[EMPTY_CELL]5544416
20113702799787[EMPTY_CELL]2045
2014472421602129[EMPTY_CELL]4905
Uganda201011,1532590[EMPTY_CELL]14,4272893
201116,20732853138[EMPTY_CELL]5495
2013793235043307[EMPTY_CELL]7182
2015943847804328[EMPTY_CELL]7380
Southern Africa
Madagascar201067692642[EMPTY_CELL]55791790
201110,04628542360[EMPTY_CELL]3233
201310,14920211756[EMPTY_CELL]3851
2015 13,4811361 1040[EMPTY_CELL]1501
\", \"cells\": [{\"cell\": \"Country\", \"bbox\": [1, 4, 31, 14]}, {\"cell\": \"Year\", \"bbox\": [67, 4, 83, 14]}, {\"cell\": \"Screened (N)\", \"bbox\": [102, 4, 148, 14]}, {\"cell\": \"Outlets the met screening criteria\", \"bbox\": [163, 4, 245, 23]}, {\"cell\": \"Anti-malarial audit complete (N)\", \"bbox\": [250, 4, 316, 23]}, {\"cell\": \"Anti-malarials audited (N)\", \"bbox\": [340, 4, 390, 23]}, {\"cell\": \"QA ACT audited (N)\", \"bbox\": [415, 4, 483, 14]}, {\"cell\": \"West & Central Africa\", \"bbox\": [1, 31, 69, 41]}, {\"cell\": \" Nigeria\", \"bbox\": [5, 43, 30, 53]}, {\"cell\": \"2009\", \"bbox\": [67, 43, 84, 53]}, {\"cell\": \"5456\", \"bbox\": [109, 43, 126, 53]}, {\"cell\": \"2210\", \"bbox\": [163, 43, 180, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [251, 43, 269, 53]}, {\"cell\": \"20,841\", \"bbox\": [340, 43, 362, 53]}, {\"cell\": \"1192\", \"bbox\": [415, 43, 432, 53]}, {\"cell\": \"2011\", \"bbox\": [67, 55, 84, 65]}, {\"cell\": \"7938\", \"bbox\": [109, 55, 126, 65]}, {\"cell\": \"1567\", \"bbox\": [163, 55, 180, 65]}, {\"cell\": \"1486\", \"bbox\": [251, 55, 269, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 55, 362, 65]}, {\"cell\": \"2119\", \"bbox\": [415, 55, 432, 65]}, {\"cell\": \"2013\", \"bbox\": [67, 67, 84, 77]}, {\"cell\": \"5148\", \"bbox\": [109, 67, 126, 77]}, {\"cell\": \"1828\", \"bbox\": [163, 67, 180, 77]}, {\"cell\": \"1714\", \"bbox\": [251, 67, 269, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 67, 362, 77]}, {\"cell\": \"4799\", \"bbox\": [415, 67, 432, 77]}, {\"cell\": \"2015\", \"bbox\": [67, 80, 84, 89]}, {\"cell\": \"13,483\", \"bbox\": [103, 80, 126, 89]}, {\"cell\": \"3624\", \"bbox\": [163, 80, 180, 89]}, {\"cell\": \"3473\", \"bbox\": [251, 80, 269, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 80, 362, 89]}, {\"cell\": \"9581\", \"bbox\": [415, 80, 432, 89]}, {\"cell\": \"East Africa\", \"bbox\": [1, 92, 35, 101]}, {\"cell\": \" Kenya\", \"bbox\": [5, 104, 27, 113]}, {\"cell\": \"2010\", \"bbox\": [67, 104, 84, 113]}, {\"cell\": \"13,897\", \"bbox\": [103, 104, 126, 113]}, {\"cell\": \"2625\", \"bbox\": [163, 104, 180, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [251, 104, 269, 113]}, {\"cell\": \"8376\", \"bbox\": [345, 104, 362, 113]}, {\"cell\": \"2052\", \"bbox\": [415, 104, 432, 113]}, {\"cell\": \"2011\", \"bbox\": [67, 116, 84, 125]}, {\"cell\": \"11,383\", \"bbox\": [103, 116, 126, 125]}, {\"cell\": \"2112\", \"bbox\": [163, 116, 180, 125]}, {\"cell\": \"1854\", \"bbox\": [251, 116, 269, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 116, 362, 125]}, {\"cell\": \"3669\", \"bbox\": [415, 116, 432, 125]}, {\"cell\": \"2014\", \"bbox\": [67, 128, 84, 137]}, {\"cell\": \"12,676\", \"bbox\": [103, 128, 126, 137]}, {\"cell\": \"2477\", \"bbox\": [163, 128, 180, 137]}, {\"cell\": \"2133\", \"bbox\": [251, 128, 269, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 128, 362, 137]}, {\"cell\": \"3234\", \"bbox\": [415, 128, 432, 137]}, {\"cell\": \" Tanzania\", \"bbox\": [5, 140, 35, 150]}, {\"cell\": \"2010\", \"bbox\": [67, 140, 84, 150]}, {\"cell\": \"3120\", \"bbox\": [109, 140, 126, 150]}, {\"cell\": \"710\", \"bbox\": [166, 140, 180, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 140, 269, 150]}, {\"cell\": \"5544\", \"bbox\": [345, 140, 362, 150]}, {\"cell\": \"416\", \"bbox\": [418, 140, 432, 150]}, {\"cell\": \"2011\", \"bbox\": [67, 152, 84, 162]}, {\"cell\": \"3702\", \"bbox\": [109, 152, 126, 162]}, {\"cell\": \"799\", \"bbox\": [166, 152, 180, 162]}, {\"cell\": \"787\", \"bbox\": [255, 152, 269, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 152, 362, 162]}, {\"cell\": \"2045\", \"bbox\": [415, 152, 432, 162]}, {\"cell\": \"2014\", \"bbox\": [67, 164, 84, 174]}, {\"cell\": \"4724\", \"bbox\": [109, 164, 126, 174]}, {\"cell\": \"2160\", \"bbox\": [163, 164, 180, 174]}, {\"cell\": \"2129\", \"bbox\": [251, 164, 269, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 164, 362, 174]}, {\"cell\": \"4905\", \"bbox\": [415, 164, 432, 174]}, {\"cell\": \" Uganda\", \"bbox\": [5, 176, 33, 186]}, {\"cell\": \"2010\", \"bbox\": [67, 176, 84, 186]}, {\"cell\": \"11,153\", \"bbox\": [103, 176, 126, 186]}, {\"cell\": \"2590\", \"bbox\": [163, 176, 180, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [251, 176, 269, 186]}, {\"cell\": \"14,427\", \"bbox\": [340, 176, 362, 186]}, {\"cell\": \"2893\", \"bbox\": [415, 176, 432, 186]}, {\"cell\": \"2011\", \"bbox\": [67, 188, 84, 198]}, {\"cell\": \"16,207\", \"bbox\": [103, 188, 126, 198]}, {\"cell\": \"3285\", \"bbox\": [163, 188, 180, 198]}, {\"cell\": \"3138\", \"bbox\": [251, 188, 269, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 188, 362, 198]}, {\"cell\": \"5495\", \"bbox\": [415, 188, 432, 198]}, {\"cell\": \"2013\", \"bbox\": [67, 201, 84, 210]}, {\"cell\": \"7932\", \"bbox\": [109, 201, 126, 210]}, {\"cell\": \"3504\", \"bbox\": [163, 201, 180, 210]}, {\"cell\": \"3307\", \"bbox\": [251, 201, 269, 210]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 201, 362, 210]}, {\"cell\": \"7182\", \"bbox\": [415, 201, 432, 210]}, {\"cell\": \"2015\", \"bbox\": [67, 213, 84, 222]}, {\"cell\": \"9438\", \"bbox\": [109, 213, 126, 222]}, {\"cell\": \"4780\", \"bbox\": [163, 213, 180, 222]}, {\"cell\": \"4328\", \"bbox\": [251, 213, 269, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 213, 362, 222]}, {\"cell\": \"7380\", \"bbox\": [415, 213, 432, 222]}, {\"cell\": \"Southern Africa\", \"bbox\": [1, 225, 52, 234]}, {\"cell\": \" Madagascar\", \"bbox\": [5, 237, 46, 246]}, {\"cell\": \"2010\", \"bbox\": [67, 237, 84, 246]}, {\"cell\": \"6769\", \"bbox\": [109, 237, 126, 246]}, {\"cell\": \"2642\", \"bbox\": [163, 237, 180, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [251, 237, 269, 246]}, {\"cell\": \"5579\", \"bbox\": [345, 237, 362, 246]}, {\"cell\": \"1790\", \"bbox\": [415, 237, 432, 246]}, {\"cell\": \"2011\", \"bbox\": [67, 249, 84, 258]}, {\"cell\": \"10,046\", \"bbox\": [103, 249, 126, 258]}, {\"cell\": \"2854\", \"bbox\": [163, 249, 180, 258]}, {\"cell\": \"2360\", \"bbox\": [251, 249, 269, 258]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 249, 362, 258]}, {\"cell\": \"3233\", \"bbox\": [415, 249, 432, 258]}, {\"cell\": \"2013\", \"bbox\": [67, 261, 84, 271]}, {\"cell\": \"10,149\", \"bbox\": [103, 261, 126, 271]}, {\"cell\": \"2021\", \"bbox\": [163, 261, 180, 271]}, {\"cell\": \"1756\", \"bbox\": [251, 261, 269, 271]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 261, 362, 271]}, {\"cell\": \"3851\", \"bbox\": [415, 261, 432, 271]}, {\"cell\": \"2015\", \"bbox\": [67, 273, 84, 283]}, {\"cell\": \" 13,481\", \"bbox\": [103, 273, 126, 283]}, {\"cell\": \"1361\", \"bbox\": [163, 273, 180, 283]}, {\"cell\": \" 1040\", \"bbox\": [251, 273, 269, 283]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 273, 362, 283]}, {\"cell\": \"1501\", \"bbox\": [415, 273, 432, 283]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5405529_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
GeneSNP[EMPTY_CELL]AdditiveDominantRecessive
[EMPTY_CELL][EMPTY_CELL]Risk alleleOdds ratio95% Confidence intervalP-valueOdds ratio95% Confidence intervalP-valueOdds ratio95% Confidence intervalP-value
GCKRrs1260326C[EMPTY_CELL]0.897–1.0080.0900.9120.816–1.0190.1050.9500.874–1.0320.226
IRS1rs2943634C[EMPTY_CELL]0.975–1.1000.2580.9910.872–1.1250.8881.0680.985–1.1580.108
PPARγ2rs1801282C[EMPTY_CELL]0.940–1.1270.5390.8280.590–1.1640.2771.0510.951–1.1610.330
IGF2BP2rs1470579C[EMPTY_CELL]0.979–1.1020.2111.0400.958–1.1290.3511.0710.952–1.2050.254
WFS1rs1801214T[EMPTY_CELL]0.953–1.0720.7140.9720.864–1.0940.6421.0340.954–1.1210.412
CDKAL1rs7754840C[EMPTY_CELL]0.945–1.0630.9431.0110.933–1.0960.7850.9830.870–1.1120.790
GCKrs1799884A[EMPTY_CELL]0.939–1.0820.8220.9960.916–1.0840.9341.0920.892–1.3370.392
SLC30A8rs13266634C[EMPTY_CELL]0.915–1.0390.4290.9090.783–1.0540.2070.9860.910–1.0690.741
CDKN2A/Brs2383208A[EMPTY_CELL]0.927–1.0730.9371.0750.858–1.3460.5310.9860.905–1.0730.738
HHEXrs5015480C[EMPTY_CELL]0.938–1.0500.7921.0730.970–1.1860.1700.9330.856–1.0170.113
TCF7L2rs7903146T[EMPTY_CELL]0.931–1.0510.7220.9970.921–1.0790.9400.9540.832–1.0950.503
KCNQIRs231362C[EMPTY_CELL]0.972–1.0900.3250.9590.864–1.0650.4371.0921.005–1.1880.039
KCNQIrs2283228A[EMPTY_CELL]0.870–1.0360.2450.7600.579–0.9980.0480.9680.876–1.0700.527
KCNJ11rs5219T[EMPTY_CELL]0.930–1.0470.6710.9790.901–1.0630.6070.9930.882–1.1180.912
MTNR1Brs10830963G[EMPTY_CELL]0.942–1.0680.9321.0020.924–1.0870.9641.0090.874–1.1640.908
HNF1Brs4430796G[EMPTY_CELL]0.914–1.0230.2460.9780.895–1.0690.6230.9320.846–1.0260.151
BCL2Rs12454712T[EMPTY_CELL]0.956–1.0740.6560.9760.873–1.0900.6641.0400.959–1.1290.342
GATAD2Ars16996148T[EMPTY_CELL]0.862–1.0540.3500.9580.859–1.0690.4440.8120.528–1.2500.344
GIPRrs8108269G[EMPTY_CELL]0.974–1.0960.2811.0140.936–1.0980.7351.1130.986–1.2560.083
HNF4Ars1884614T[EMPTY_CELL]0.977–1.1120.2111.0540.971–1.1450.2111.0500.901–1.2240.531
Gene score[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.987–1.0160.833——————
\", \"cells\": [{\"cell\": \"Gene\", \"bbox\": [5, 7, 23, 15]}, {\"cell\": \"SNP\", \"bbox\": [63, 7, 78, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Additive\", \"bbox\": [174, 7, 202, 15]}, {\"cell\": \"Dominant\", \"bbox\": [299, 7, 334, 15]}, {\"cell\": \"Recessive\", \"bbox\": [429, 7, 460, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Risk allele\", \"bbox\": [100, 29, 118, 47]}, {\"cell\": \"Odds ratio\", \"bbox\": [132, 29, 150, 47]}, {\"cell\": \"95% Confidence interval\", \"bbox\": [163, 29, 217, 47]}, {\"cell\": \"P-value\", \"bbox\": [225, 29, 250, 38]}, {\"cell\": \"Odds ratio\", \"bbox\": [260, 29, 278, 47]}, {\"cell\": \"95% Confidence interval\", \"bbox\": [291, 29, 345, 47]}, {\"cell\": \"P-value\", \"bbox\": [353, 29, 379, 38]}, {\"cell\": \"Odds ratio\", \"bbox\": [388, 29, 407, 47]}, {\"cell\": \"95% Confidence interval\", \"bbox\": [419, 29, 473, 47]}, {\"cell\": \"P-value\", \"bbox\": [481, 29, 507, 38]}, {\"cell\": \"GCKR\", \"bbox\": [5, 56, 24, 64]}, {\"cell\": \"rs1260326\", \"bbox\": [49, 56, 86, 63]}, {\"cell\": \"C\", \"bbox\": [106, 56, 113, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 56, 151, 63]}, {\"cell\": \"0.897–1.008\", \"bbox\": [169, 56, 211, 63]}, {\"cell\": \"0.090\", \"bbox\": [227, 56, 248, 63]}, {\"cell\": \"0.912\", \"bbox\": [259, 56, 279, 63]}, {\"cell\": \"0.816–1.019\", \"bbox\": [297, 56, 340, 63]}, {\"cell\": \"0.105\", \"bbox\": [356, 56, 376, 63]}, {\"cell\": \"0.950\", \"bbox\": [387, 56, 407, 63]}, {\"cell\": \"0.874–1.032\", \"bbox\": [425, 56, 468, 63]}, {\"cell\": \"0.226\", \"bbox\": [484, 56, 504, 63]}, {\"cell\": \"IRS1\", \"bbox\": [5, 65, 20, 73]}, {\"cell\": \"rs2943634\", \"bbox\": [49, 65, 86, 72]}, {\"cell\": \"C\", \"bbox\": [106, 65, 113, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 65, 151, 72]}, {\"cell\": \"0.975–1.100\", \"bbox\": [169, 65, 211, 72]}, {\"cell\": \"0.258\", \"bbox\": [227, 65, 248, 72]}, {\"cell\": \"0.991\", \"bbox\": [259, 65, 279, 72]}, {\"cell\": \"0.872–1.125\", \"bbox\": [297, 65, 340, 72]}, {\"cell\": \"0.888\", \"bbox\": [356, 65, 376, 72]}, {\"cell\": \"1.068\", \"bbox\": [387, 65, 407, 72]}, {\"cell\": \"0.985–1.158\", \"bbox\": [425, 65, 468, 72]}, {\"cell\": \"0.108\", \"bbox\": [484, 65, 504, 72]}, {\"cell\": \"PPARγ2\", \"bbox\": [5, 74, 30, 83]}, {\"cell\": \"rs1801282\", \"bbox\": [49, 74, 86, 81]}, {\"cell\": \"C\", \"bbox\": [106, 74, 113, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 74, 151, 81]}, {\"cell\": \"0.940–1.127\", \"bbox\": [169, 74, 211, 81]}, {\"cell\": \"0.539\", \"bbox\": [227, 74, 248, 81]}, {\"cell\": \"0.828\", \"bbox\": [259, 74, 279, 81]}, {\"cell\": \"0.590–1.164\", \"bbox\": [297, 74, 340, 81]}, {\"cell\": \"0.277\", \"bbox\": [356, 74, 376, 81]}, {\"cell\": \"1.051\", \"bbox\": [387, 74, 407, 81]}, {\"cell\": \"0.951–1.161\", \"bbox\": [425, 74, 468, 81]}, {\"cell\": \"0.330\", \"bbox\": [484, 74, 504, 81]}, {\"cell\": \"IGF2BP2\", \"bbox\": [5, 83, 33, 91]}, {\"cell\": \"rs1470579\", \"bbox\": [49, 83, 86, 90]}, {\"cell\": \"C\", \"bbox\": [106, 83, 113, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 83, 151, 90]}, {\"cell\": \"0.979–1.102\", \"bbox\": [169, 83, 211, 90]}, {\"cell\": \"0.211\", \"bbox\": [227, 83, 248, 90]}, {\"cell\": \"1.040\", \"bbox\": [259, 83, 279, 90]}, {\"cell\": \"0.958–1.129\", \"bbox\": [297, 83, 340, 90]}, {\"cell\": \"0.351\", \"bbox\": [356, 83, 376, 90]}, {\"cell\": \"1.071\", \"bbox\": [387, 83, 407, 90]}, {\"cell\": \"0.952–1.205\", \"bbox\": [425, 83, 468, 90]}, {\"cell\": \"0.254\", \"bbox\": [484, 83, 504, 90]}, {\"cell\": \"WFS1\", \"bbox\": [5, 92, 24, 100]}, {\"cell\": \"rs1801214\", \"bbox\": [49, 92, 86, 99]}, {\"cell\": \"T\", \"bbox\": [106, 92, 112, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 92, 151, 99]}, {\"cell\": \"0.953–1.072\", \"bbox\": [169, 92, 211, 99]}, {\"cell\": \"0.714\", \"bbox\": [227, 92, 248, 99]}, {\"cell\": \"0.972\", \"bbox\": [259, 92, 279, 99]}, {\"cell\": \"0.864–1.094\", \"bbox\": [297, 92, 340, 99]}, {\"cell\": \"0.642\", \"bbox\": [356, 92, 376, 99]}, {\"cell\": \"1.034\", \"bbox\": [387, 92, 407, 99]}, {\"cell\": \"0.954–1.121\", \"bbox\": [425, 92, 468, 99]}, {\"cell\": \"0.412\", \"bbox\": [484, 92, 504, 99]}, {\"cell\": \"CDKAL1\", \"bbox\": [5, 100, 32, 109]}, {\"cell\": \"rs7754840\", \"bbox\": [49, 101, 86, 108]}, {\"cell\": \"C\", \"bbox\": [106, 101, 113, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 101, 151, 108]}, {\"cell\": \"0.945–1.063\", \"bbox\": [169, 101, 211, 108]}, {\"cell\": \"0.943\", \"bbox\": [227, 101, 248, 108]}, {\"cell\": \"1.011\", \"bbox\": [259, 101, 279, 108]}, {\"cell\": \"0.933–1.096\", \"bbox\": [297, 101, 340, 108]}, {\"cell\": \"0.785\", \"bbox\": [356, 101, 376, 108]}, {\"cell\": \"0.983\", \"bbox\": [387, 101, 407, 108]}, {\"cell\": \"0.870–1.112\", \"bbox\": [425, 101, 468, 108]}, {\"cell\": \"0.790\", \"bbox\": [484, 101, 504, 108]}, {\"cell\": \"GCK\", \"bbox\": [5, 109, 20, 118]}, {\"cell\": \"rs1799884\", \"bbox\": [49, 110, 86, 117]}, {\"cell\": \"A\", \"bbox\": [106, 110, 113, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 110, 151, 117]}, {\"cell\": \"0.939–1.082\", \"bbox\": [169, 110, 211, 117]}, {\"cell\": \"0.822\", \"bbox\": [227, 110, 248, 117]}, {\"cell\": \"0.996\", \"bbox\": [259, 110, 279, 117]}, {\"cell\": \"0.916–1.084\", \"bbox\": [297, 110, 340, 117]}, {\"cell\": \"0.934\", \"bbox\": [356, 110, 376, 117]}, {\"cell\": \"1.092\", \"bbox\": [387, 110, 407, 117]}, {\"cell\": \"0.892–1.337\", \"bbox\": [425, 110, 468, 117]}, {\"cell\": \"0.392\", \"bbox\": [484, 110, 504, 117]}, {\"cell\": \"SLC30A8\", \"bbox\": [5, 118, 34, 127]}, {\"cell\": \"rs13266634\", \"bbox\": [49, 119, 90, 126]}, {\"cell\": \"C\", \"bbox\": [106, 119, 113, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 119, 151, 126]}, {\"cell\": \"0.915–1.039\", \"bbox\": [169, 119, 211, 126]}, {\"cell\": \"0.429\", \"bbox\": [227, 119, 248, 126]}, {\"cell\": \"0.909\", \"bbox\": [259, 119, 279, 126]}, {\"cell\": \"0.783–1.054\", \"bbox\": [297, 119, 340, 126]}, {\"cell\": \"0.207\", \"bbox\": [356, 119, 376, 126]}, {\"cell\": \"0.986\", \"bbox\": [387, 119, 407, 126]}, {\"cell\": \"0.910–1.069\", \"bbox\": [425, 119, 468, 126]}, {\"cell\": \"0.741\", \"bbox\": [484, 119, 504, 126]}, {\"cell\": \"CDKN2A/B\", \"bbox\": [5, 127, 40, 136]}, {\"cell\": \"rs2383208\", \"bbox\": [49, 128, 86, 135]}, {\"cell\": \"A\", \"bbox\": [106, 128, 113, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 128, 151, 135]}, {\"cell\": \"0.927–1.073\", \"bbox\": [169, 128, 211, 135]}, {\"cell\": \"0.937\", \"bbox\": [227, 128, 248, 135]}, {\"cell\": \"1.075\", \"bbox\": [259, 128, 279, 135]}, {\"cell\": \"0.858–1.346\", \"bbox\": [297, 128, 340, 135]}, {\"cell\": \"0.531\", \"bbox\": [356, 128, 376, 135]}, {\"cell\": \"0.986\", \"bbox\": [387, 128, 407, 135]}, {\"cell\": \"0.905–1.073\", \"bbox\": [425, 128, 468, 135]}, {\"cell\": \"0.738\", \"bbox\": [484, 128, 504, 135]}, {\"cell\": \"HHEX\", \"bbox\": [5, 136, 24, 145]}, {\"cell\": \"rs5015480\", \"bbox\": [49, 137, 86, 144]}, {\"cell\": \"C\", \"bbox\": [106, 137, 113, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 137, 151, 144]}, {\"cell\": \"0.938–1.050\", \"bbox\": [169, 137, 211, 144]}, {\"cell\": \"0.792\", \"bbox\": [227, 137, 248, 144]}, {\"cell\": \"1.073\", \"bbox\": [259, 137, 279, 144]}, {\"cell\": \"0.970–1.186\", \"bbox\": [297, 137, 340, 144]}, {\"cell\": \"0.170\", \"bbox\": [356, 137, 376, 144]}, {\"cell\": \"0.933\", \"bbox\": [387, 137, 407, 144]}, {\"cell\": \"0.856–1.017\", \"bbox\": [425, 137, 468, 144]}, {\"cell\": \"0.113\", \"bbox\": [484, 137, 504, 144]}, {\"cell\": \"TCF7L2\", \"bbox\": [5, 145, 30, 154]}, {\"cell\": \"rs7903146\", \"bbox\": [49, 146, 86, 153]}, {\"cell\": \"T\", \"bbox\": [106, 146, 112, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 146, 151, 153]}, {\"cell\": \"0.931–1.051\", \"bbox\": [169, 146, 211, 153]}, 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[425, 154, 468, 162]}, {\"cell\": \"0.039\", \"bbox\": [484, 154, 504, 162]}, {\"cell\": \"KCNQI\", \"bbox\": [5, 163, 27, 172]}, {\"cell\": \"rs2283228\", \"bbox\": [49, 163, 86, 171]}, {\"cell\": \"A\", \"bbox\": [106, 163, 113, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 163, 151, 171]}, {\"cell\": \"0.870–1.036\", \"bbox\": [169, 163, 211, 171]}, {\"cell\": \"0.245\", \"bbox\": [227, 163, 248, 171]}, {\"cell\": \"0.760\", \"bbox\": [259, 163, 279, 171]}, {\"cell\": \"0.579–0.998\", \"bbox\": [297, 163, 340, 171]}, {\"cell\": \"0.048\", \"bbox\": [356, 163, 376, 171]}, {\"cell\": \"0.968\", \"bbox\": [387, 163, 407, 171]}, {\"cell\": \"0.876–1.070\", \"bbox\": [425, 163, 468, 171]}, {\"cell\": \"0.527\", \"bbox\": [484, 163, 504, 171]}, {\"cell\": \"KCNJ11\", \"bbox\": [5, 172, 31, 181]}, {\"cell\": \"rs5219\", \"bbox\": [49, 172, 74, 180]}, {\"cell\": \"T\", \"bbox\": [106, 172, 112, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 172, 151, 180]}, {\"cell\": 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216]}, {\"cell\": \"0.812\", \"bbox\": [387, 208, 407, 216]}, {\"cell\": \"0.528–1.250\", \"bbox\": [425, 208, 468, 216]}, {\"cell\": \"0.344\", \"bbox\": [484, 208, 504, 216]}, {\"cell\": \"GIPR\", \"bbox\": [5, 217, 21, 225]}, {\"cell\": \"rs8108269\", \"bbox\": [49, 217, 86, 225]}, {\"cell\": \"G\", \"bbox\": [106, 217, 113, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 217, 151, 225]}, {\"cell\": \"0.974–1.096\", \"bbox\": [169, 217, 211, 225]}, {\"cell\": \"0.281\", \"bbox\": [227, 217, 248, 225]}, {\"cell\": \"1.014\", \"bbox\": [259, 217, 279, 225]}, {\"cell\": \"0.936–1.098\", \"bbox\": [297, 217, 340, 225]}, {\"cell\": \"0.735\", \"bbox\": [356, 217, 376, 225]}, {\"cell\": \"1.113\", \"bbox\": [387, 217, 407, 225]}, {\"cell\": \"0.986–1.256\", \"bbox\": [425, 217, 468, 225]}, {\"cell\": \"0.083\", \"bbox\": [484, 217, 504, 225]}, {\"cell\": \"HNF4A\", \"bbox\": [5, 226, 29, 234]}, {\"cell\": \"rs1884614\", \"bbox\": [49, 226, 86, 234]}, {\"cell\": \"T\", \"bbox\": [106, 226, 112, 234]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 226, 151, 234]}, {\"cell\": \"0.977–1.112\", \"bbox\": [169, 226, 211, 234]}, {\"cell\": \"0.211\", \"bbox\": [227, 226, 248, 234]}, {\"cell\": \"1.054\", \"bbox\": [259, 226, 279, 234]}, {\"cell\": \"0.971–1.145\", \"bbox\": [297, 226, 340, 234]}, {\"cell\": \"0.211\", \"bbox\": [356, 226, 376, 234]}, {\"cell\": \"1.050\", \"bbox\": [387, 226, 407, 234]}, {\"cell\": \"0.901–1.224\", \"bbox\": [425, 226, 468, 234]}, {\"cell\": \"0.531\", \"bbox\": [484, 226, 504, 234]}, {\"cell\": \"Gene score\", \"bbox\": [5, 235, 45, 243]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 235, 151, 243]}, {\"cell\": \"0.987–1.016\", \"bbox\": [169, 235, 211, 243]}, {\"cell\": \"0.833\", \"bbox\": [227, 235, 248, 243]}, {\"cell\": \"—\", \"bbox\": [264, 238, 274, 243]}, {\"cell\": \"—\", \"bbox\": [313, 238, 323, 243]}, {\"cell\": \"—\", \"bbox\": [361, 238, 371, 243]}, {\"cell\": \"—\", \"bbox\": [392, 238, 402, 243]}, {\"cell\": \"—\", \"bbox\": [441, 238, 451, 243]}, {\"cell\": \"—\", \"bbox\": [489, 238, 499, 243]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4564566_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL][EMPTY_CELL]ActiGraph activity levels and measurements
[EMPTY_CELL][EMPTY_CELL]ActiGraph-min (moderate min)ActiGraph-min (vigorous min)ActiGraph-minActiGraph-count
[EMPTY_CELL]ModerateVigorousTotal METTotal MET
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Male0.10*0.23***0.14***0.18***
[EMPTY_CELL]Female0.09*0.09*0.09*0.15***
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]≤290.050.21***0.060.04
[EMPTY_CELL]30-490.09*0.12**0.12**0.19***
[EMPTY_CELL]≥ 500.12*0.14**0.15**0.25***
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Yes - high PD0.19*0.25**0.18*0.16
[EMPTY_CELL]Yes - low PD0.10*0.10**0.12**0.20***
[EMPTY_CELL]Not full-time0.060.21***0.070.08
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Yes0.030.17**0.090.08
[EMPTY_CELL]No0.11***0.17***0.12***0.18***
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Overweight (≥ 25)0.100.22***0.14**0.21***
[EMPTY_CELL]Normal (< 25)0.09**0.14***0.10**0.14***
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Overweight (≥ 10)0.18***0.23***0.24***0.31***
[EMPTY_CELL]Normal (< 10)0.08*0.10**0.09*0.14***
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"ActiGraph activity levels and measurements\", \"bbox\": [239, 4, 394, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"ActiGraph-min (moderate min)\", \"bbox\": [148, 17, 257, 27]}, {\"cell\": \"ActiGraph-min (vigorous min)\", \"bbox\": [260, 17, 366, 27]}, {\"cell\": \"ActiGraph-min\", \"bbox\": [370, 17, 422, 27]}, {\"cell\": \"ActiGraph-count\", \"bbox\": [426, 17, 484, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 30, 143, 49]}, {\"cell\": \"Moderate\", \"bbox\": [185, 30, 220, 40]}, {\"cell\": \"Vigorous\", \"bbox\": [297, 30, 330, 40]}, {\"cell\": \"Total MET\", \"bbox\": [377, 30, 414, 40]}, {\"cell\": \"Total MET\", \"bbox\": [437, 30, 473, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [29, 53, 41, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Male\", \"bbox\": [100, 64, 117, 74]}, {\"cell\": \"0.10*\", \"bbox\": [193, 64, 211, 74]}, {\"cell\": \"0.23***\", \"bbox\": [301, 64, 325, 74]}, {\"cell\": \"0.14***\", \"bbox\": [384, 64, 408, 74]}, {\"cell\": \"0.18***\", \"bbox\": [443, 64, 467, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Female\", \"bbox\": [96, 76, 121, 86]}, {\"cell\": \"0.09*\", \"bbox\": [193, 76, 211, 86]}, {\"cell\": \"0.09*\", \"bbox\": [304, 76, 322, 86]}, {\"cell\": \"0.09*\", \"bbox\": [387, 76, 405, 86]}, {\"cell\": \"0.15***\", \"bbox\": [443, 76, 467, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [18, 88, 52, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"≤29\", \"bbox\": [102, 100, 116, 110]}, {\"cell\": \"0.05\", \"bbox\": [195, 100, 210, 110]}, {\"cell\": \"0.21***\", \"bbox\": [301, 100, 325, 110]}, {\"cell\": \"0.06\", \"bbox\": [388, 100, 403, 110]}, {\"cell\": \"0.04\", \"bbox\": [448, 100, 462, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"30-49\", \"bbox\": [99, 112, 119, 122]}, {\"cell\": \"0.09*\", \"bbox\": [193, 112, 211, 122]}, {\"cell\": \"0.12**\", \"bbox\": [303, 112, 324, 122]}, {\"cell\": \"0.12**\", \"bbox\": [385, 112, 406, 122]}, {\"cell\": \"0.19***\", \"bbox\": [443, 112, 467, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"≥ 50\", \"bbox\": [100, 124, 117, 134]}, {\"cell\": \"0.12*\", \"bbox\": [193, 124, 211, 134]}, {\"cell\": \"0.14**\", \"bbox\": [303, 124, 324, 134]}, {\"cell\": \"0.15**\", \"bbox\": [385, 124, 406, 134]}, {\"cell\": \"0.25***\", \"bbox\": [443, 124, 467, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 136, 62, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Yes - high PD\", \"bbox\": [86, 148, 132, 158]}, {\"cell\": \"0.19*\", \"bbox\": [193, 148, 211, 158]}, {\"cell\": \"0.25**\", \"bbox\": [303, 148, 324, 158]}, {\"cell\": \"0.18*\", \"bbox\": [387, 148, 405, 158]}, {\"cell\": \"0.16\", \"bbox\": [448, 148, 462, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Yes - low PD\", \"bbox\": [87, 160, 131, 170]}, {\"cell\": \"0.10*\", \"bbox\": [193, 160, 211, 170]}, {\"cell\": \"0.10**\", \"bbox\": [303, 160, 324, 170]}, {\"cell\": \"0.12**\", \"bbox\": [385, 160, 406, 170]}, {\"cell\": \"0.20***\", \"bbox\": [443, 160, 467, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Not full-time\", \"bbox\": [88, 172, 130, 182]}, {\"cell\": \"0.06\", \"bbox\": [195, 172, 210, 182]}, {\"cell\": \"0.21***\", \"bbox\": [301, 172, 325, 182]}, {\"cell\": \"0.07\", \"bbox\": [388, 172, 403, 182]}, {\"cell\": \"0.08\", \"bbox\": [448, 172, 462, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 184, 65, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Yes\", \"bbox\": [102, 196, 115, 205]}, {\"cell\": \"0.03\", \"bbox\": [195, 196, 210, 205]}, {\"cell\": \"0.17**\", \"bbox\": [303, 196, 324, 205]}, {\"cell\": \"0.09\", \"bbox\": [388, 196, 403, 205]}, {\"cell\": \"0.08\", \"bbox\": [448, 196, 462, 205]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No\", \"bbox\": [103, 208, 114, 217]}, {\"cell\": \"0.11***\", \"bbox\": [190, 208, 214, 217]}, {\"cell\": \"0.17***\", \"bbox\": [301, 208, 325, 217]}, {\"cell\": \"0.12***\", \"bbox\": [384, 208, 408, 217]}, {\"cell\": \"0.18***\", \"bbox\": [443, 208, 467, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [28, 220, 42, 229]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Overweight (≥ 25)\", \"bbox\": [78, 232, 139, 241]}, {\"cell\": \"0.10\", \"bbox\": [195, 232, 210, 241]}, {\"cell\": \"0.22***\", \"bbox\": [301, 232, 325, 241]}, {\"cell\": \"0.14**\", \"bbox\": [385, 232, 406, 241]}, {\"cell\": \"0.21***\", \"bbox\": [443, 232, 467, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Normal (< 25)\", \"bbox\": [85, 244, 132, 253]}, {\"cell\": \"0.09**\", \"bbox\": [192, 244, 213, 253]}, {\"cell\": \"0.14***\", \"bbox\": [301, 244, 325, 253]}, {\"cell\": \"0.10**\", \"bbox\": [385, 244, 406, 253]}, {\"cell\": \"0.14***\", \"bbox\": [443, 244, 467, 253]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [24, 256, 47, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Overweight (≥ 10)\", \"bbox\": [78, 268, 139, 277]}, {\"cell\": \"0.18***\", \"bbox\": [190, 268, 214, 277]}, {\"cell\": \"0.23***\", \"bbox\": [301, 268, 325, 277]}, {\"cell\": \"0.24***\", \"bbox\": [384, 268, 408, 277]}, {\"cell\": \"0.31***\", \"bbox\": [443, 268, 467, 277]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Normal (< 10)\", \"bbox\": [85, 280, 132, 289]}, {\"cell\": \"0.08*\", \"bbox\": [193, 280, 211, 289]}, {\"cell\": \"0.10**\", \"bbox\": [303, 280, 324, 289]}, {\"cell\": \"0.09*\", \"bbox\": [387, 280, 405, 289]}, {\"cell\": \"0.14***\", \"bbox\": [443, 280, 467, 289]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3157408_004_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariableNHE1 expressionp value
low group(n = 30)high group(n = 31)
n(%)n(%)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
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[EMPTY_CELL]5(16.7)4(12.9)[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
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[EMPTY_CELL]11(36.7)13(41.9)[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]4(13.3)7(22.6)0.6372
[EMPTY_CELL]17(56.7)16(51.6)[EMPTY_CELL]
[EMPTY_CELL]9(30.0)8(25.8)[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]18(60.0)26(83.9)0.0356
[EMPTY_CELL]12(40.0)5(16.1)[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]16(53.3)12(38.7)0.2510
[EMPTY_CELL]14(46.7)19(61.3)[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]17(56.7)19(61.3)0.7135
[EMPTY_CELL]13(43.3)12(38.7)[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]8(27.6)3(10.0)0.0786
[EMPTY_CELL]21(72.4)27(90.0)[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]13(43.3)14(45.2)0.8857
[EMPTY_CELL]17(56.7)17(54.8)[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]13(43.3)14(45.2)0.8857
[EMPTY_CELL]17(56.7)17(54.8)[EMPTY_CELL]
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Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
CharacteristicsFull sampleRural
[EMPTY_CELL](N = 1 410)(N = 749)
Child’s demographics[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Male, n (%)[EMPTY_CELL](47.8)365(48.7)
Age in months, mean (SD)[EMPTY_CELL](4.11)75.3(4.27)
Father dead, n (%)[EMPTY_CELL](7.02)42(5.61)
Mother dead, n (%)[EMPTY_CELL](1.91)10(1.34)
Father and mother dead, n (%)[EMPTY_CELL](0.35)1(0.13)
Household-level variables, mean (SD)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Highest educational attainment (years)[EMPTY_CELL](3.62)7.70(3.62)
Household size[EMPTY_CELL](1.93)5.60(1.91)
Wealth quintile[EMPTY_CELL](1.41)2.23(1.25)
Number of younger siblings in household[EMPTY_CELL](0.81)0.70(0.84)
Number of older siblings in household[EMPTY_CELL](1.52)2.07(1.51)
Cluster-level variables, mean (SD)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Parasitemia (fraction of MIS 2006 slides positive)[EMPTY_CELL](0.20)0.22(0.22)
Fraction of parents deceased[EMPTY_CELL](0.09)0.07(0.07)
Average educational attainment[EMPTY_CELL](2.33)7.70(2.25)
Average wealth quintile[EMPTY_CELL](1.04)2.23(0.62)
Outcomes[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Peabody Picture Vocabulary Test (z-score), mean (SD)[EMPTY_CELL](1.01)−0.04(1.15)
Task Orientation (z-score), mean (SD)[EMPTY_CELL](1.00)−0.18(1.06)
Tactile Pattern Recognition (z-score), mean (SD)[EMPTY_CELL](1.00)0.06(1.03)
Socio-emotional Development (principal component z-score), mean (SD)[EMPTY_CELL](1.00)−0.03(1.02)
Fine Motor Skills (z-score), mean (SD)[EMPTY_CELL](1.01)−0.20(1.07)
Weight in kilograms, mean (SD)[EMPTY_CELL](9.06)22.45(11.52)
Height in centimeters, mean (SD)[EMPTY_CELL](8.12)116.70(7.14)
Stunted, n (%)[EMPTY_CELL](0.17)88(0.17)
Underweight, n (%)[EMPTY_CELL](0.12)54(0.10)
Body Mass Index, mean (SD)[EMPTY_CELL](3.11)15.36(3.83)
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{\"cell\": \"(1.41)\", \"bbox\": [339, 156, 358, 166]}, {\"cell\": \"2.23\", \"bbox\": [403, 156, 417, 166]}, {\"cell\": \"(1.25)\", \"bbox\": [464, 156, 482, 166]}, {\"cell\": \"Number of younger siblings in household\", \"bbox\": [0, 170, 137, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [280, 170, 295, 180]}, {\"cell\": \"(0.81)\", \"bbox\": [339, 170, 358, 180]}, {\"cell\": \"0.70\", \"bbox\": [403, 170, 417, 180]}, {\"cell\": \"(0.84)\", \"bbox\": [464, 170, 482, 180]}, {\"cell\": \"Number of older siblings in household\", \"bbox\": [0, 184, 127, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [280, 184, 295, 194]}, {\"cell\": \"(1.52)\", \"bbox\": [339, 184, 358, 194]}, {\"cell\": \"2.07\", \"bbox\": [403, 184, 417, 194]}, {\"cell\": \"(1.51)\", \"bbox\": [464, 184, 482, 194]}, {\"cell\": \"Cluster-level variables, mean (SD)\", \"bbox\": [0, 198, 104, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Parasitemia (fraction of MIS 2006 slides positive)\", \"bbox\": [0, 212, 156, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [280, 212, 295, 222]}, {\"cell\": \"(0.20)\", \"bbox\": [339, 212, 358, 222]}, {\"cell\": \"0.22\", \"bbox\": [403, 212, 417, 222]}, {\"cell\": \"(0.22)\", \"bbox\": [464, 212, 482, 222]}, {\"cell\": \"Fraction of parents deceased\", \"bbox\": [0, 226, 95, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [280, 226, 295, 236]}, {\"cell\": \"(0.09)\", \"bbox\": [339, 226, 358, 236]}, {\"cell\": \"0.07\", \"bbox\": [403, 226, 417, 236]}, {\"cell\": \"(0.07)\", \"bbox\": [464, 226, 482, 236]}, {\"cell\": \"Average educational attainment\", \"bbox\": [0, 240, 105, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [280, 240, 295, 250]}, {\"cell\": \"(2.33)\", \"bbox\": [339, 240, 358, 250]}, {\"cell\": \"7.70\", \"bbox\": [403, 240, 417, 250]}, {\"cell\": \"(2.25)\", \"bbox\": [464, 240, 482, 250]}, {\"cell\": \"Average wealth quintile\", \"bbox\": [0, 254, 79, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [280, 254, 295, 264]}, {\"cell\": \"(1.04)\", \"bbox\": [339, 254, 358, 264]}, {\"cell\": \"2.23\", \"bbox\": [403, 254, 417, 264]}, {\"cell\": \"(0.62)\", \"bbox\": [464, 254, 482, 264]}, {\"cell\": \"Outcomes\", \"bbox\": [0, 268, 34, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Peabody Picture Vocabulary Test (z-score), mean (SD)\", \"bbox\": [0, 282, 173, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [278, 282, 297, 292]}, {\"cell\": \"(1.01)\", \"bbox\": [339, 282, 358, 292]}, {\"cell\": \"−0.04\", \"bbox\": [400, 282, 420, 292]}, {\"cell\": \"(1.15)\", \"bbox\": [464, 282, 482, 292]}, {\"cell\": \"Task Orientation (z-score), mean (SD)\", \"bbox\": [1, 296, 120, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [280, 296, 295, 306]}, {\"cell\": \"(1.00)\", \"bbox\": [339, 296, 358, 306]}, {\"cell\": \"−0.18\", \"bbox\": [400, 296, 420, 306]}, {\"cell\": \"(1.06)\", \"bbox\": [464, 296, 482, 306]}, {\"cell\": \"Tactile Pattern Recognition (z-score), mean (SD)\", \"bbox\": [1, 310, 155, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [280, 310, 295, 320]}, {\"cell\": \"(1.00)\", \"bbox\": [339, 310, 358, 320]}, {\"cell\": \"0.06\", \"bbox\": [403, 310, 417, 320]}, {\"cell\": \"(1.03)\", \"bbox\": [464, 310, 482, 320]}, {\"cell\": \"Socio-emotional Development (principal component z-score), mean (SD)\", \"bbox\": [1, 324, 236, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [278, 324, 297, 334]}, {\"cell\": \"(1.00)\", \"bbox\": [339, 324, 358, 334]}, {\"cell\": \"−0.03\", \"bbox\": [400, 324, 420, 334]}, {\"cell\": \"(1.02)\", \"bbox\": [464, 324, 482, 334]}, {\"cell\": \"Fine Motor Skills (z-score), mean (SD)\", \"bbox\": [1, 338, 121, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [278, 338, 297, 348]}, {\"cell\": \"(1.01)\", \"bbox\": [339, 338, 358, 348]}, {\"cell\": \"−0.20\", \"bbox\": [400, 338, 420, 348]}, {\"cell\": \"(1.07)\", \"bbox\": [464, 338, 482, 348]}, {\"cell\": \"Weight in kilograms, mean (SD)\", \"bbox\": [1, 352, 104, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [278, 352, 297, 362]}, {\"cell\": \"(9.06)\", \"bbox\": [339, 352, 358, 362]}, {\"cell\": \"22.45\", \"bbox\": [401, 352, 419, 362]}, {\"cell\": \"(11.52)\", \"bbox\": [462, 352, 484, 362]}, {\"cell\": \"Height in centimeters, mean (SD)\", \"bbox\": [1, 366, 109, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [276, 366, 299, 376]}, {\"cell\": \"(8.12)\", \"bbox\": [339, 366, 358, 376]}, {\"cell\": \"116.70\", \"bbox\": [399, 366, 421, 376]}, {\"cell\": \"(7.14)\", \"bbox\": [464, 366, 482, 376]}, {\"cell\": \"Stunted, n (%)\", \"bbox\": [1, 380, 48, 390]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 380, 294, 390]}, {\"cell\": \"(0.17)\", \"bbox\": [339, 380, 358, 390]}, {\"cell\": \"88\", \"bbox\": [405, 380, 415, 390]}, {\"cell\": \"(0.17)\", \"bbox\": [464, 380, 482, 390]}, {\"cell\": \"Underweight, n (%)\", \"bbox\": [1, 394, 65, 404]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 394, 294, 404]}, {\"cell\": \"(0.12)\", \"bbox\": [339, 394, 358, 404]}, {\"cell\": \"54\", \"bbox\": [405, 394, 415, 404]}, {\"cell\": \"(0.10)\", \"bbox\": [464, 394, 482, 404]}, {\"cell\": \"Body Mass Index, mean (SD)\", \"bbox\": [1, 408, 94, 418]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [278, 408, 297, 418]}, {\"cell\": \"(3.11)\", \"bbox\": [339, 408, 358, 418]}, {\"cell\": \"15.36\", \"bbox\": [401, 408, 419, 418]}, {\"cell\": \"(3.83)\", \"bbox\": [464, 408, 482, 418]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3546841_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
City-site nameCodeLabelMethod of PM10 analysisLongitude (° ′ ′′ E)Latitude (° ′ ′′ N)Altitude (m a.s.l)
Warszawa-Targówek[EMPTY_CELL]W-UB(2)21° 02′ 33′′52° 17′ 36′′85
Warszawa-Komunikacyjna[EMPTY_CELL]W-TR(2)21° 00′ 17′′52° 13′ 00′′103
Belsk IGPAN[EMPTY_CELL]W-RB(2)20° 47′ 30′′51° 50′ 00′′176
Kraków-Nowa Huta[EMPTY_CELL]C-UB(3)20° 03′ 07′′50° 04′ 00′′195
Kraków-Krasińskiego[EMPTY_CELL]C-TR(3)19° 55′ 20′′50° 03′ 00′′175
Zabrze-Skłodowskiej[EMPTY_CELL]Z-UB(1)18° 46′ 19′′50° 19′ 12′′255
Chorzów[EMPTY_CELL]Z-TR(2)18° 56′ 13′′50° 15′ 00′′285
Złoty Potok[EMPTY_CELL]Z-RB(C-RB)(3)19° 27′ 36′′50° 42′ 36′′291
Jelenia Góra-Cieplice[EMPTY_CELL]J-UB(3)15° 44′ 06′′50° 51′ 36′′341
Czerniawa[EMPTY_CELL]J-RB(3)15° 18′ 51′′50° 54′ 36′′645
Diabla Góra[EMPTY_CELL]–(1)22° 04′ 01′′54° 08′ 00′′157
\", \"cells\": [{\"cell\": \"City-site name\", \"bbox\": [1, 8, 51, 18]}, {\"cell\": \"Code\", \"bbox\": [104, 8, 124, 18]}, {\"cell\": \"Label\", \"bbox\": [152, 8, 172, 18]}, {\"cell\": \"Method of PM10 analysis\", \"bbox\": [191, 8, 277, 18]}, {\"cell\": \"Longitude (° ′ ′′ E)\", \"bbox\": [290, 8, 354, 18]}, {\"cell\": \"Latitude (° ′ ′′ N)\", \"bbox\": [367, 8, 425, 18]}, {\"cell\": \"Altitude (m a.s.l)\", \"bbox\": [438, 8, 496, 18]}, {\"cell\": \"Warszawa-Targówek\", \"bbox\": [1, 28, 71, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [104, 28, 138, 38]}, {\"cell\": \"W-UB\", \"bbox\": [152, 28, 175, 38]}, {\"cell\": \"(2)\", \"bbox\": [191, 28, 203, 38]}, {\"cell\": \"21° 02′ 33′′\", \"bbox\": [290, 28, 330, 38]}, {\"cell\": \"52° 17′ 36′′\", \"bbox\": [367, 28, 407, 38]}, {\"cell\": \"85\", \"bbox\": [438, 28, 448, 38]}, {\"cell\": \"Warszawa-Komunikacyjna\", \"bbox\": [1, 41, 91, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [104, 41, 138, 51]}, {\"cell\": \"W-TR\", \"bbox\": [152, 41, 174, 51]}, {\"cell\": \"(2)\", \"bbox\": [191, 41, 203, 51]}, {\"cell\": \"21° 00′ 17′′\", \"bbox\": [290, 41, 330, 51]}, {\"cell\": \"52° 13′ 00′′\", \"bbox\": [367, 41, 407, 51]}, {\"cell\": \"103\", \"bbox\": [438, 41, 452, 51]}, {\"cell\": \"Belsk IGPAN\", \"bbox\": [1, 54, 48, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [104, 54, 138, 64]}, {\"cell\": \"W-RB\", \"bbox\": [152, 54, 175, 64]}, {\"cell\": \"(2)\", \"bbox\": [191, 54, 203, 64]}, {\"cell\": \"20° 47′ 30′′\", \"bbox\": [290, 54, 330, 64]}, {\"cell\": \"51° 50′ 00′′\", \"bbox\": [367, 54, 407, 64]}, {\"cell\": \"176\", \"bbox\": [438, 54, 452, 64]}, {\"cell\": \"Kraków-Nowa Huta\", \"bbox\": [1, 67, 70, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [104, 67, 138, 76]}, {\"cell\": \"C-UB\", \"bbox\": [151, 67, 173, 76]}, {\"cell\": \"(3)\", \"bbox\": [191, 67, 203, 76]}, {\"cell\": \"20° 03′ 07′′\", \"bbox\": [290, 67, 330, 76]}, {\"cell\": \"50° 04′ 00′′\", \"bbox\": [367, 67, 407, 76]}, {\"cell\": \"195\", \"bbox\": [438, 67, 452, 76]}, {\"cell\": \"Kraków-Krasińskiego\", \"bbox\": [1, 79, 75, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [104, 79, 138, 89]}, {\"cell\": \"C-TR\", \"bbox\": [151, 79, 172, 89]}, {\"cell\": \"(3)\", \"bbox\": [191, 79, 203, 89]}, {\"cell\": \"19° 55′ 20′′\", \"bbox\": [290, 79, 330, 89]}, {\"cell\": \"50° 03′ 00′′\", \"bbox\": [367, 79, 407, 89]}, {\"cell\": \"175\", \"bbox\": [438, 79, 452, 89]}, {\"cell\": \"Zabrze-Skłodowskiej\", \"bbox\": [1, 92, 72, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [104, 92, 138, 102]}, {\"cell\": \"Z-UB\", \"bbox\": [151, 92, 173, 102]}, {\"cell\": \"(1)\", \"bbox\": [191, 92, 203, 102]}, {\"cell\": \"18° 46′ 19′′\", \"bbox\": [290, 92, 330, 102]}, {\"cell\": \"50° 19′ 12′′\", \"bbox\": [367, 92, 407, 102]}, {\"cell\": \"255\", \"bbox\": [438, 92, 452, 102]}, {\"cell\": \"Chorzów\", \"bbox\": [1, 105, 33, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [104, 105, 138, 114]}, {\"cell\": \"Z-TR\", \"bbox\": [151, 105, 172, 114]}, {\"cell\": \"(2)\", \"bbox\": [191, 105, 203, 114]}, {\"cell\": \"18° 56′ 13′′\", \"bbox\": [290, 105, 330, 114]}, {\"cell\": \"50° 15′ 00′′\", \"bbox\": [367, 105, 407, 114]}, {\"cell\": \"285\", \"bbox\": [438, 105, 452, 114]}, {\"cell\": \"Złoty Potok\", \"bbox\": [1, 117, 42, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [104, 117, 138, 127]}, {\"cell\": \"Z-RB(C-RB)\", \"bbox\": [151, 117, 178, 137]}, {\"cell\": \"(3)\", \"bbox\": [191, 117, 203, 127]}, {\"cell\": \"19° 27′ 36′′\", \"bbox\": [290, 117, 330, 127]}, {\"cell\": \"50° 42′ 36′′\", \"bbox\": [367, 117, 407, 127]}, {\"cell\": \"291\", \"bbox\": [438, 117, 452, 127]}, {\"cell\": \"Jelenia Góra-Cieplice\", \"bbox\": [1, 137, 73, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [104, 137, 138, 147]}, {\"cell\": \"J-UB\", \"bbox\": [151, 137, 171, 147]}, {\"cell\": \"(3)\", \"bbox\": [191, 137, 203, 147]}, {\"cell\": \"15° 44′ 06′′\", \"bbox\": [290, 137, 330, 147]}, {\"cell\": \"50° 51′ 36′′\", \"bbox\": [367, 137, 407, 147]}, {\"cell\": \"341\", \"bbox\": [438, 137, 452, 147]}, {\"cell\": \"Czerniawa\", \"bbox\": [1, 150, 38, 160]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [104, 150, 138, 160]}, {\"cell\": \"J-RB\", \"bbox\": [151, 150, 170, 160]}, {\"cell\": \"(3)\", \"bbox\": [191, 150, 203, 160]}, {\"cell\": \"15° 18′ 51′′\", \"bbox\": [290, 150, 330, 160]}, {\"cell\": \"50° 54′ 36′′\", \"bbox\": [367, 150, 407, 160]}, {\"cell\": \"645\", \"bbox\": [438, 150, 452, 160]}, {\"cell\": \"Diabla Góra\", \"bbox\": [1, 163, 43, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [104, 163, 138, 172]}, {\"cell\": \"–\", \"bbox\": [152, 163, 158, 171]}, {\"cell\": \"(1)\", \"bbox\": [191, 163, 203, 172]}, {\"cell\": \"22° 04′ 01′′\", \"bbox\": [290, 163, 330, 172]}, {\"cell\": \"54° 08′ 00′′\", \"bbox\": [367, 163, 407, 172]}, {\"cell\": \"157\", \"bbox\": [438, 163, 452, 172]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4908165_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
MJNV strainTrapping siteTrapping dateGenBank accession no.
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]M segmentL segment
04-3Dagmar North 2-9/Paju, GyeonggiMar 24, 2004[EMPTY_CELL]HQ201409*
04-39LTA 130-1a/Yeoncheon, GyeonggiDec 4, 2004[EMPTY_CELL]HQ201410*
04-55FP131A-1a/Yeoncheon, GyeonggiDec 7, 2004[EMPTY_CELL]EF641807†
05-8MPRC-7a/Pocheon, GyeonggiSep 10, 2005[EMPTY_CELL]HQ201411*
05-10Dagmar North-7a/Paju, GyeonggiSep 12, 2005[EMPTY_CELL]ND
05-11Story Impact-11a/Paju, GyeonggiSep 14, 2005[EMPTY_CELL]EF641806†
05-14LTA 320/Yeoncheon, GyeonggiNov 9, 2005[EMPTY_CELL]HQ201412*
08-29CP Humphrey/Pyeongtaek, GyeonggiApr 2, 2008[EMPTY_CELL]ND
09-21Nightmare Range/Pocheon, GyeonggiJun 24, 2009[EMPTY_CELL]ND
09-136Nightmare Range/Pocheon, GyeonggiOct 28, 2009[EMPTY_CELL]HQ201413*
09-3Maji-ri/Paju, GyeonggiApr 17, 2009[EMPTY_CELL]HQ201414*
10-8Dragon Head/Paju, GyeonggiMay 12, 2010[EMPTY_CELL]HQ201415*
\", \"cells\": [{\"cell\": \"MJNV strain\", \"bbox\": [1, 4, 44, 13]}, {\"cell\": \"Trapping site\", \"bbox\": [82, 4, 130, 13]}, {\"cell\": \"Trapping date\", \"bbox\": [244, 4, 295, 13]}, {\"cell\": \"GenBank accession no.\", \"bbox\": [368, 4, 449, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"M segment\", \"bbox\": [333, 17, 374, 27]}, {\"cell\": \"L segment\", \"bbox\": [412, 17, 450, 27]}, {\"cell\": \"04-3\", \"bbox\": [1, 30, 16, 40]}, {\"cell\": \"Dagmar North 2-9/Paju, Gyeonggi\", \"bbox\": [82, 30, 194, 40]}, {\"cell\": \"Mar 24, 2004\", \"bbox\": [244, 30, 287, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [333, 30, 369, 40]}, {\"cell\": \"HQ201409*\", \"bbox\": [412, 30, 450, 40]}, {\"cell\": \"04-39\", \"bbox\": [1, 42, 20, 52]}, {\"cell\": \"LTA 130-1a/Yeoncheon, Gyeonggi\", \"bbox\": [82, 42, 193, 52]}, {\"cell\": \"Dec 4, 2004\", \"bbox\": [244, 42, 284, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [333, 42, 369, 52]}, {\"cell\": \"HQ201410*\", \"bbox\": [412, 42, 450, 52]}, {\"cell\": \"04-55\", \"bbox\": [1, 54, 20, 64]}, {\"cell\": \"FP131A-1a/Yeoncheon, Gyeonggi\", \"bbox\": [82, 54, 191, 64]}, {\"cell\": \"Dec 7, 2004\", \"bbox\": [244, 54, 284, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [333, 54, 369, 64]}, {\"cell\": \"EF641807†\", \"bbox\": [412, 54, 448, 64]}, {\"cell\": \"05-8\", \"bbox\": [1, 66, 16, 76]}, {\"cell\": \"MPRC-7a/Pocheon, Gyeonggi\", \"bbox\": [82, 66, 178, 76]}, {\"cell\": \"Sep 10, 2005\", \"bbox\": [244, 66, 287, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [333, 66, 369, 76]}, {\"cell\": \"HQ201411*\", \"bbox\": [412, 66, 450, 76]}, {\"cell\": \"05-10\", \"bbox\": [1, 78, 20, 88]}, {\"cell\": \"Dagmar North-7a/Paju, Gyeonggi\", \"bbox\": [82, 78, 191, 88]}, {\"cell\": \"Sep 12, 2005\", \"bbox\": [244, 78, 287, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [333, 78, 369, 88]}, {\"cell\": \"ND\", \"bbox\": [412, 78, 424, 88]}, {\"cell\": \"05-11\", \"bbox\": [1, 90, 20, 100]}, {\"cell\": \"Story Impact-11a/Paju, Gyeonggi\", \"bbox\": [82, 90, 189, 100]}, {\"cell\": \"Sep 14, 2005\", \"bbox\": [244, 90, 287, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [333, 90, 369, 100]}, {\"cell\": \"EF641806†\", \"bbox\": [412, 90, 448, 100]}, {\"cell\": \"05-14\", \"bbox\": [0, 102, 20, 112]}, {\"cell\": \"LTA 320/Yeoncheon, Gyeonggi\", \"bbox\": [82, 102, 184, 112]}, {\"cell\": \"Nov 9, 2005\", \"bbox\": [244, 102, 284, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [333, 102, 369, 112]}, {\"cell\": \"HQ201412*\", \"bbox\": [412, 102, 450, 112]}, {\"cell\": \"08-29\", \"bbox\": [0, 114, 20, 124]}, {\"cell\": \"CP Humphrey/Pyeongtaek, Gyeonggi\", \"bbox\": [82, 114, 204, 124]}, {\"cell\": \"Apr 2, 2008\", \"bbox\": [244, 114, 283, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [333, 114, 371, 124]}, {\"cell\": \"ND\", \"bbox\": [412, 114, 424, 124]}, {\"cell\": \"09-21\", \"bbox\": [1, 126, 20, 136]}, {\"cell\": \"Nightmare Range/Pocheon, Gyeonggi\", \"bbox\": [82, 126, 206, 136]}, {\"cell\": \"Jun 24, 2009\", \"bbox\": [244, 126, 287, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [333, 126, 371, 136]}, {\"cell\": \"ND\", \"bbox\": [412, 126, 424, 136]}, {\"cell\": \"09-136\", \"bbox\": [1, 138, 24, 147]}, {\"cell\": \"Nightmare Range/Pocheon, Gyeonggi\", \"bbox\": [82, 138, 206, 147]}, {\"cell\": \"Oct 28, 2009\", \"bbox\": [244, 138, 287, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [333, 138, 371, 147]}, {\"cell\": \"HQ201413*\", \"bbox\": [412, 138, 450, 147]}, {\"cell\": \"09-3\", \"bbox\": [1, 150, 16, 159]}, {\"cell\": \"Maji-ri/Paju, Gyeonggi\", \"bbox\": [82, 150, 154, 159]}, {\"cell\": \"Apr 17, 2009\", \"bbox\": [244, 150, 287, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [333, 150, 371, 159]}, {\"cell\": \"HQ201414*\", \"bbox\": [412, 150, 450, 159]}, {\"cell\": \"10-8\", \"bbox\": [1, 162, 16, 171]}, {\"cell\": \"Dragon Head/Paju, Gyeonggi\", \"bbox\": [82, 162, 178, 171]}, {\"cell\": \"May 12, 2010\", \"bbox\": [244, 162, 289, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [333, 162, 371, 171]}, {\"cell\": \"HQ201415*\", \"bbox\": [412, 162, 450, 171]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3046926_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Nutrient/SurveyMilk100% Fruit JuiceFruit DrinkSoft Drinks
Mean ± S.E.% Daily IntakeMean ± S.E.% Daily IntakeMean ± S.E.% Daily IntakeMean ± S.E.% Daily Intake
Calories (kcal/d)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
NHANES 1976-1980281 ± 5[EMPTY_CELL]114 ± 38.4 a128 ± 49.0 a82 ± 35.9 a
NHANES 1988-1994234 ± 4[EMPTY_CELL]143 ± 610.6 b129 ± 48.7 a86 ± 35.9 a
NHANES 2001-2006279 ± 6[EMPTY_CELL]149 ± 59.8 c150 ± 59.4 b85 ± 45.3 a
Total Fat (g/d)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
NHANES 1976-198013.5 ± 0.2[EMPTY_CELL]0.2 ± 0.00.6 a0.0 ± 0.00.00.0 ± 0.00.0
NHANES 1988-199410.9 ± 0.2[EMPTY_CELL]0.3 ± 0.00.8 b0.0 ± 0.00.10.0 ± 0.00.0
NHANES 2001-200612.0 ± 0.3[EMPTY_CELL]0.4 ± 0.00.7 ab0.1 ± 0.00.20.0 ± 0.00.0
Saturated Fat (g/d)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
NHANES 1976-19807.5 ± 0.1[EMPTY_CELL]0.0 ± 0.000.0 ± 0.00.00.0 ± 0.00.0
NHANES 1988-19946.8 ± 0.2[EMPTY_CELL]0.0 ± 0.00.30.0 ± 0.00.10.0 ± 0.00.0
NHANES 2001-20067.2 ± 0.2[EMPTY_CELL]0.1 ± 0.00.40.0 ± 0.00.00.0 ± 0.00.0
Protein (g/d)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
NHANES 1976-198016.3 ± 0.3[EMPTY_CELL]1.3 ± 0.12.9 a0.0 ± 0.00.00.0 ± 0.00.0
NHANES 1988-199413.8 ± 0.2[EMPTY_CELL]0.5 ± 0.01.2 b0.1 ± 0.00.20.0 ± 0.00.0
NHANES 2001-200615.9 ± 0.4[EMPTY_CELL]± 0.02.0 c0.1 ± 0.00.30.1 ± 0.00.2
\", \"cells\": [{\"cell\": \"Nutrient/Survey\", \"bbox\": [1, 4, 57, 13]}, {\"cell\": \"Milk\", \"bbox\": [70, 4, 87, 13]}, {\"cell\": \"100% Fruit Juice\", \"bbox\": [175, 4, 237, 13]}, {\"cell\": \"Fruit Drink\", \"bbox\": [280, 4, 319, 13]}, {\"cell\": \"Soft Drinks\", \"bbox\": [385, 4, 425, 13]}, {\"cell\": \"Mean ± S.E.\", \"bbox\": [70, 17, 112, 27]}, {\"cell\": \"% Daily Intake\", \"bbox\": [118, 17, 170, 27]}, {\"cell\": \"Mean ± S.E.\", \"bbox\": [175, 17, 217, 27]}, {\"cell\": \"% Daily Intake\", \"bbox\": [222, 17, 275, 27]}, {\"cell\": \"Mean ± S.E.\", \"bbox\": [280, 17, 322, 27]}, {\"cell\": \"% Daily Intake\", \"bbox\": [327, 17, 380, 27]}, {\"cell\": \"Mean ± S.E.\", \"bbox\": [385, 17, 427, 27]}, {\"cell\": \"% Daily Intake\", \"bbox\": [432, 17, 484, 27]}, {\"cell\": \"Calories (kcal/d)\", \"bbox\": [1, 30, 53, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"NHANES 1976-1980\", \"bbox\": [1, 43, 65, 53]}, {\"cell\": \"281 ± 5\", \"bbox\": [70, 43, 97, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [118, 42, 137, 53]}, {\"cell\": \"114 ± 3\", \"bbox\": [175, 43, 202, 53]}, {\"cell\": \"8.4 a\", \"bbox\": [222, 42, 239, 53]}, {\"cell\": \"128 ± 4\", \"bbox\": [280, 43, 307, 53]}, {\"cell\": \"9.0 a\", \"bbox\": [327, 42, 343, 53]}, {\"cell\": \"82 ± 3\", \"bbox\": [385, 43, 408, 53]}, {\"cell\": \"5.9 a\", \"bbox\": [432, 42, 448, 53]}, {\"cell\": \"NHANES 1988-1994\", \"bbox\": [1, 57, 65, 66]}, {\"cell\": \"234 ± 4\", \"bbox\": [70, 57, 97, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [118, 55, 138, 66]}, {\"cell\": \"143 ± 6\", \"bbox\": [175, 57, 202, 66]}, {\"cell\": \"10.6 b\", \"bbox\": [222, 55, 243, 66]}, {\"cell\": \"129 ± 4\", \"bbox\": [280, 57, 307, 66]}, {\"cell\": \"8.7 a\", \"bbox\": [327, 55, 343, 66]}, {\"cell\": \"86 ± 3\", \"bbox\": [385, 57, 408, 66]}, {\"cell\": \"5.9 a\", \"bbox\": [432, 55, 448, 66]}, {\"cell\": \"NHANES 2001-2006\", \"bbox\": [1, 70, 65, 79]}, {\"cell\": \"279 ± 6\", \"bbox\": [70, 70, 97, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [118, 68, 137, 79]}, {\"cell\": \"149 ± 5\", \"bbox\": [175, 70, 202, 79]}, {\"cell\": \"9.8 c\", \"bbox\": [222, 68, 238, 79]}, {\"cell\": \"150 ± 5\", \"bbox\": [280, 70, 307, 79]}, {\"cell\": \"9.4 b\", \"bbox\": [327, 68, 344, 79]}, {\"cell\": \"85 ± 4\", \"bbox\": [385, 70, 408, 79]}, {\"cell\": \"5.3 a\", \"bbox\": [432, 68, 448, 79]}, {\"cell\": \"Total Fat (g/d)\", \"bbox\": [1, 83, 48, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"NHANES 1976-1980\", \"bbox\": [1, 96, 65, 105]}, {\"cell\": \"13.5 ± 0.2\", \"bbox\": [70, 96, 103, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [118, 94, 137, 105]}, {\"cell\": \"0.2 ± 0.0\", \"bbox\": [175, 96, 204, 105]}, {\"cell\": \"0.6 a\", \"bbox\": [222, 94, 239, 105]}, {\"cell\": \"0.0 ± 0.0\", \"bbox\": [280, 96, 309, 105]}, {\"cell\": \"0.0\", \"bbox\": [327, 96, 338, 105]}, {\"cell\": \"0.0 ± 0.0\", \"bbox\": [385, 96, 414, 105]}, {\"cell\": \"0.0\", \"bbox\": [432, 96, 443, 105]}, {\"cell\": \"NHANES 1988-1994\", \"bbox\": [1, 109, 65, 119]}, {\"cell\": \"10.9 ± 0.2\", \"bbox\": [70, 109, 103, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [118, 107, 138, 119]}, {\"cell\": \"0.3 ± 0.0\", \"bbox\": [175, 109, 204, 119]}, {\"cell\": \"0.8 b\", \"bbox\": [222, 107, 239, 119]}, {\"cell\": \"0.0 ± 0.0\", \"bbox\": [280, 109, 309, 119]}, {\"cell\": \"0.1\", \"bbox\": [327, 109, 338, 119]}, {\"cell\": \"0.0 ± 0.0\", \"bbox\": [385, 109, 414, 119]}, {\"cell\": \"0.0\", \"bbox\": [432, 109, 443, 119]}, {\"cell\": \"NHANES 2001-2006\", \"bbox\": [1, 122, 65, 132]}, {\"cell\": \"12.0 ± 0.3\", \"bbox\": [70, 122, 103, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [118, 121, 138, 132]}, {\"cell\": \"0.4 ± 0.0\", \"bbox\": [175, 122, 204, 132]}, {\"cell\": \"0.7 ab\", \"bbox\": [222, 121, 242, 132]}, {\"cell\": \"0.1 ± 0.0\", \"bbox\": [280, 122, 309, 132]}, {\"cell\": \"0.2\", \"bbox\": [327, 122, 338, 132]}, {\"cell\": \"0.0 ± 0.0\", \"bbox\": [385, 122, 414, 132]}, {\"cell\": \"0.0\", \"bbox\": [432, 122, 443, 132]}, {\"cell\": \"Saturated Fat (g/d)\", \"bbox\": [1, 135, 63, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"NHANES 1976-1980\", \"bbox\": [1, 149, 65, 158]}, {\"cell\": \"7.5 ± 0.1\", \"bbox\": [70, 149, 100, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [118, 147, 137, 158]}, {\"cell\": \"0.0 ± 0.0\", \"bbox\": [175, 149, 204, 158]}, {\"cell\": \"0\", \"bbox\": [222, 149, 228, 158]}, {\"cell\": \"0.0 ± 0.0\", \"bbox\": [280, 149, 309, 158]}, {\"cell\": \"0.0\", \"bbox\": [327, 149, 338, 158]}, {\"cell\": \"0.0 ± 0.0\", \"bbox\": [385, 149, 414, 158]}, {\"cell\": \"0.0\", \"bbox\": [432, 149, 443, 158]}, {\"cell\": \"NHANES 1988-1994\", \"bbox\": [1, 162, 65, 171]}, {\"cell\": \"6.8 ± 0.2\", \"bbox\": [70, 162, 100, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [118, 160, 138, 171]}, {\"cell\": \"0.0 ± 0.0\", \"bbox\": [175, 162, 204, 171]}, {\"cell\": \"0.3\", \"bbox\": [222, 162, 233, 171]}, {\"cell\": \"0.0 ± 0.0\", \"bbox\": [280, 162, 309, 171]}, {\"cell\": \"0.1\", \"bbox\": [327, 162, 338, 171]}, {\"cell\": \"0.0 ± 0.0\", \"bbox\": [385, 162, 414, 171]}, {\"cell\": \"0.0\", \"bbox\": [432, 162, 443, 171]}, {\"cell\": \"NHANES 2001-2006\", \"bbox\": [1, 175, 65, 184]}, {\"cell\": \"7.2 ± 0.2\", \"bbox\": [70, 175, 100, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [118, 173, 138, 184]}, {\"cell\": \"0.1 ± 0.0\", \"bbox\": [175, 175, 204, 184]}, {\"cell\": \"0.4\", \"bbox\": [222, 175, 233, 184]}, {\"cell\": \"0.0 ± 0.0\", \"bbox\": [280, 175, 309, 184]}, {\"cell\": \"0.0\", \"bbox\": [327, 175, 338, 184]}, {\"cell\": \"0.0 ± 0.0\", \"bbox\": [385, 175, 414, 184]}, {\"cell\": \"0.0\", \"bbox\": [432, 175, 443, 184]}, {\"cell\": \"Protein (g/d)\", \"bbox\": [1, 188, 43, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"NHANES 1976-1980\", \"bbox\": [1, 201, 65, 211]}, {\"cell\": \"16.3 ± 0.3\", \"bbox\": [70, 201, 103, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [118, 200, 137, 211]}, {\"cell\": \"1.3 ± 0.1\", \"bbox\": [175, 201, 204, 211]}, {\"cell\": \"2.9 a\", \"bbox\": [222, 200, 239, 211]}, {\"cell\": \"0.0 ± 0.0\", \"bbox\": [280, 201, 309, 211]}, {\"cell\": \"0.0\", \"bbox\": [327, 201, 338, 211]}, {\"cell\": \"0.0 ± 0.0\", \"bbox\": [385, 201, 414, 211]}, {\"cell\": \"0.0\", \"bbox\": [432, 201, 443, 211]}, {\"cell\": \"NHANES 1988-1994\", \"bbox\": [1, 214, 65, 224]}, {\"cell\": \"13.8 ± 0.2\", \"bbox\": [70, 214, 103, 224]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [118, 213, 138, 224]}, {\"cell\": \"0.5 ± 0.0\", \"bbox\": [175, 214, 204, 224]}, {\"cell\": \"1.2 b\", \"bbox\": [222, 213, 239, 224]}, {\"cell\": \"0.1 ± 0.0\", \"bbox\": [280, 214, 309, 224]}, {\"cell\": \"0.2\", \"bbox\": [327, 214, 338, 224]}, {\"cell\": \"0.0 ± 0.0\", \"bbox\": [385, 214, 414, 224]}, {\"cell\": \"0.0\", \"bbox\": [432, 214, 443, 224]}, {\"cell\": \"NHANES 2001-2006\", \"bbox\": [1, 227, 65, 237]}, {\"cell\": \"15.9 ± 0.4\", \"bbox\": [70, 227, 103, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [118, 226, 137, 237]}, {\"cell\": \"± 0.0\", \"bbox\": [175, 227, 193, 237]}, {\"cell\": \"2.0 c\", \"bbox\": [222, 226, 238, 237]}, {\"cell\": \"0.1 ± 0.0\", \"bbox\": [280, 227, 309, 237]}, {\"cell\": \"0.3\", \"bbox\": [327, 227, 338, 237]}, {\"cell\": \"0.1 ± 0.0\", \"bbox\": [385, 227, 414, 237]}, {\"cell\": \"0.2\", \"bbox\": [432, 227, 443, 237]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3551691_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Survivors
[EMPTY_CELL]Patient #
[EMPTY_CELL]123456
MechanismMVCMVC[EMPTY_CELL]Other bluntMVCMVC
Age6855[EMPTY_CELL]537949
GenderMaleMale[EMPTY_CELL]FemaleMaleFemale
ISS2950[EMPTY_CELL]223850
Fracture TypeLeft both column acetabular fractureLeft iliac wing fracture[EMPTY_CELL]Sacral compression fractureLeft ilium and sacroiliac jointSacral compression fracture
OTAL 62C3L 61C1.1[EMPTY_CELL]L61B-2.1L61A-2.2L61B-2.1
ED LOS (min)> 60> 60[EMPTY_CELL]25ED-to-ED Transfer> 60
Hospital LOS1434[EMPTY_CELL]285518
ICU LOS1134[EMPTY_CELL]62211
Vent Days1034[EMPTY_CELL]5167
Pre-OR PRBC4 units4 units[EMPTY_CELL]4 units> 6 units> 6 units
Initial B.D.3.27.2[EMPTY_CELL]> 13.06.112.2
Initial INR1.041.66[EMPTY_CELL]1.461.121.02
Pre-OR CTYesYes[EMPTY_CELL]YesYesYes
Exp LapYesYes[EMPTY_CELL]YesYesYes
Angio FirstNoNo[EMPTY_CELL]NoNoNo
DispositionRehabSNF[EMPTY_CELL]SNFSNFRehab
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Survivors\", \"bbox\": [248, 4, 282, 12]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Patient #\", \"bbox\": [249, 17, 282, 25]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [85, 31, 91, 38]}, {\"cell\": \"2\", \"bbox\": [158, 31, 164, 38]}, {\"cell\": \"3\", \"bbox\": [232, 31, 238, 38]}, {\"cell\": \"4\", \"bbox\": [311, 31, 318, 38]}, {\"cell\": \"5\", \"bbox\": [380, 31, 387, 38]}, {\"cell\": \"6\", \"bbox\": [450, 31, 456, 38]}, {\"cell\": \"Mechanism\", \"bbox\": [1, 44, 39, 53]}, {\"cell\": \"MVC\", \"bbox\": [80, 44, 97, 53]}, {\"cell\": \"MVC\", \"bbox\": [152, 44, 169, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 44, 243, 53]}, {\"cell\": \"Other blunt\", \"bbox\": [295, 44, 334, 53]}, {\"cell\": \"MVC\", \"bbox\": [375, 44, 392, 53]}, {\"cell\": \"MVC\", \"bbox\": [444, 44, 461, 53]}, {\"cell\": \"Age\", \"bbox\": [1, 56, 15, 65]}, {\"cell\": \"68\", \"bbox\": [83, 56, 93, 65]}, {\"cell\": \"55\", \"bbox\": [156, 56, 165, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [230, 56, 240, 65]}, {\"cell\": \"53\", \"bbox\": [310, 56, 319, 65]}, {\"cell\": \"79\", \"bbox\": [379, 56, 388, 65]}, {\"cell\": \"49\", \"bbox\": [448, 56, 458, 65]}, {\"cell\": \"Gender\", \"bbox\": [1, 67, 26, 77]}, {\"cell\": \"Male\", \"bbox\": [80, 67, 97, 77]}, {\"cell\": \"Male\", \"bbox\": [152, 67, 169, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 67, 243, 77]}, {\"cell\": \"Female\", \"bbox\": [302, 67, 327, 77]}, {\"cell\": \"Male\", \"bbox\": [375, 67, 392, 77]}, {\"cell\": \"Female\", \"bbox\": [440, 67, 465, 77]}, {\"cell\": \"ISS\", \"bbox\": [1, 79, 11, 89]}, {\"cell\": \"29\", \"bbox\": [83, 79, 93, 89]}, {\"cell\": \"50\", \"bbox\": [156, 79, 165, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [230, 79, 240, 89]}, {\"cell\": \"22\", \"bbox\": [310, 79, 319, 89]}, {\"cell\": \"38\", \"bbox\": [379, 79, 388, 89]}, {\"cell\": \"50\", \"bbox\": [448, 79, 458, 89]}, {\"cell\": \"Fracture Type\", \"bbox\": [1, 91, 28, 110]}, {\"cell\": \"Left both column acetabular fracture\", \"bbox\": [57, 91, 119, 110]}, {\"cell\": \"Left iliac wing fracture\", \"bbox\": [137, 91, 184, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 91, 266, 110]}, {\"cell\": \"Sacral compression fracture\", \"bbox\": [283, 91, 346, 110]}, {\"cell\": \"Left ilium and sacroiliac joint\", \"bbox\": [360, 91, 407, 110]}, {\"cell\": \"Sacral compression fracture\", \"bbox\": [421, 91, 484, 110]}, {\"cell\": \"OTA\", \"bbox\": [1, 112, 16, 122]}, {\"cell\": \"L 62C3\", \"bbox\": [76, 112, 100, 122]}, {\"cell\": \"L 61C1.1\", \"bbox\": [146, 112, 175, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [222, 112, 247, 122]}, {\"cell\": \"L61B-2.1\", \"bbox\": [300, 112, 329, 122]}, {\"cell\": \"L61A-2.2\", \"bbox\": [369, 112, 398, 122]}, {\"cell\": \"L61B-2.1\", \"bbox\": [438, 112, 467, 122]}, {\"cell\": \"ED LOS (min)\", \"bbox\": [1, 124, 26, 143]}, {\"cell\": \"> 60\", \"bbox\": [80, 124, 97, 134]}, {\"cell\": \"> 60\", \"bbox\": [152, 124, 169, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 124, 242, 134]}, {\"cell\": \"25\", \"bbox\": [310, 124, 319, 134]}, {\"cell\": \"ED-to-ED Transfer\", \"bbox\": [354, 124, 413, 134]}, {\"cell\": \"> 60\", \"bbox\": [444, 124, 461, 134]}, {\"cell\": \"Hospital LOS\", \"bbox\": [1, 145, 28, 164]}, {\"cell\": \"14\", \"bbox\": [83, 145, 93, 155]}, {\"cell\": \"34\", \"bbox\": [156, 145, 165, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [230, 145, 240, 155]}, {\"cell\": \"28\", \"bbox\": [310, 145, 319, 155]}, {\"cell\": \"55\", \"bbox\": [379, 145, 388, 155]}, {\"cell\": \"18\", \"bbox\": [448, 145, 458, 155]}, {\"cell\": \"ICU LOS\", \"bbox\": [1, 166, 29, 176]}, {\"cell\": \"11\", \"bbox\": [83, 166, 93, 176]}, {\"cell\": \"34\", \"bbox\": [156, 166, 165, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [230, 166, 240, 176]}, {\"cell\": \"6\", \"bbox\": [312, 166, 317, 176]}, {\"cell\": \"22\", \"bbox\": [379, 166, 388, 176]}, {\"cell\": \"11\", \"bbox\": [448, 166, 458, 176]}, {\"cell\": \"Vent Days\", \"bbox\": [1, 178, 35, 188]}, {\"cell\": \"10\", \"bbox\": [83, 178, 93, 188]}, {\"cell\": \"34\", \"bbox\": [156, 178, 165, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [230, 178, 240, 188]}, {\"cell\": \"5\", \"bbox\": [312, 178, 317, 188]}, {\"cell\": \"16\", \"bbox\": [379, 178, 388, 188]}, {\"cell\": \"7\", \"bbox\": [450, 178, 456, 188]}, {\"cell\": \"Pre-OR PRBC\", \"bbox\": [1, 190, 24, 208]}, {\"cell\": \"4 units\", \"bbox\": [76, 190, 100, 200]}, {\"cell\": \"4 units\", \"bbox\": [149, 190, 173, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [223, 190, 247, 200]}, {\"cell\": \"4 units\", \"bbox\": [303, 190, 326, 200]}, {\"cell\": \"> 6 units\", \"bbox\": [368, 190, 399, 200]}, {\"cell\": \"> 6 units\", \"bbox\": [437, 190, 468, 200]}, {\"cell\": \"Initial B.D.\", \"bbox\": [1, 211, 34, 220]}, {\"cell\": \"3.2\", \"bbox\": [83, 211, 94, 220]}, {\"cell\": \"7.2\", \"bbox\": [155, 211, 166, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 211, 240, 220]}, {\"cell\": \"> 13.0\", \"bbox\": [303, 211, 326, 220]}, {\"cell\": \"6.1\", \"bbox\": [378, 211, 389, 220]}, {\"cell\": \"12.2\", \"bbox\": [445, 211, 460, 220]}, {\"cell\": \"Initial INR\", \"bbox\": [1, 223, 33, 232]}, {\"cell\": \"1.04\", \"bbox\": [81, 223, 96, 232]}, {\"cell\": \"1.66\", \"bbox\": [153, 223, 168, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 223, 244, 232]}, {\"cell\": \"1.46\", \"bbox\": [307, 223, 322, 232]}, {\"cell\": \"1.12\", \"bbox\": [376, 223, 391, 232]}, {\"cell\": \"1.02\", \"bbox\": [445, 223, 460, 232]}, {\"cell\": \"Pre-OR CT\", \"bbox\": [1, 235, 35, 244]}, {\"cell\": \"Yes\", \"bbox\": [82, 235, 95, 244]}, {\"cell\": \"Yes\", \"bbox\": [154, 235, 167, 244]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 235, 241, 244]}, {\"cell\": \"Yes\", \"bbox\": [308, 235, 321, 244]}, {\"cell\": \"Yes\", \"bbox\": [377, 235, 390, 244]}, {\"cell\": \"Yes\", \"bbox\": [446, 235, 459, 244]}, {\"cell\": \"Exp Lap\", \"bbox\": [1, 247, 28, 256]}, {\"cell\": \"Yes\", \"bbox\": [82, 247, 95, 256]}, {\"cell\": \"Yes\", \"bbox\": [154, 247, 167, 256]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 247, 240, 256]}, {\"cell\": \"Yes\", \"bbox\": [308, 247, 321, 256]}, {\"cell\": \"Yes\", \"bbox\": [377, 247, 390, 256]}, {\"cell\": \"Yes\", \"bbox\": [446, 247, 459, 256]}, {\"cell\": \"Angio First\", \"bbox\": [1, 259, 37, 268]}, {\"cell\": \"No\", \"bbox\": [83, 259, 94, 268]}, {\"cell\": \"No\", \"bbox\": [155, 259, 166, 268]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 259, 241, 268]}, {\"cell\": \"No\", \"bbox\": [309, 259, 320, 268]}, {\"cell\": \"No\", \"bbox\": [378, 259, 389, 268]}, {\"cell\": \"No\", \"bbox\": [447, 259, 458, 268]}, {\"cell\": \"Disposition\", \"bbox\": [1, 271, 38, 280]}, {\"cell\": \"Rehab\", \"bbox\": [77, 271, 99, 280]}, {\"cell\": \"SNF\", \"bbox\": [153, 271, 168, 280]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 271, 246, 280]}, {\"cell\": \"SNF\", \"bbox\": [307, 271, 322, 280]}, {\"cell\": \"SNF\", \"bbox\": [376, 271, 391, 280]}, {\"cell\": \"Rehab\", \"bbox\": [442, 271, 464, 280]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3113950_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
PredictorUnivariable modelsMultivariable model
OR (95% CI)OR (95% CI)
UK OGs vs UKGs0.25 (0.23 to 0.27)[EMPTY_CELL]
UK OGs vs EEAG0.66 (0.58 to 0.75)[EMPTY_CELL]
UK OGs vs IMG1.29 (1.16 to 1.42)[EMPTY_CELL]
Male sex0.70 (0.68 to 0.73)[EMPTY_CELL]
Shortlisting score (z-score)1.74 (1.69 to 1.80)[EMPTY_CELL]
Interview score (z-score)8.41 (8.10 to 8.73)[EMPTY_CELL]
Age at selection0.93 (0.93 to 0.94)[EMPTY_CELL]
UK experience (years) at selection1.50 (1.47 to 1.52)[EMPTY_CELL]
Experience/age interaction–[EMPTY_CELL]
GDP of country of nationality (US$10 000 per person)1.52 (1.50 to 1.55)[EMPTY_CELL]
GDP of country of qualification (US$10 000 per person)1.63 (1.60 to 1.65)[EMPTY_CELL]
Difference in GDP countries (US$10 000 per person)0.87 (0.85 to 0.89)[EMPTY_CELL]
Absolute difference in GDP (US$10 000 per person)0.74 (0.73 to 0.76)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Predictor\", \"bbox\": [5, 19, 46, 29]}, {\"cell\": \"Univariable models\", \"bbox\": [259, 4, 343, 15]}, {\"cell\": \"Multivariable model\", \"bbox\": [389, 4, 475, 15]}, {\"cell\": \"OR (95% CI)\", \"bbox\": [259, 19, 312, 29]}, {\"cell\": \"OR (95% CI)\", \"bbox\": [389, 19, 442, 29]}, {\"cell\": \"UK OGs vs UKGs\", \"bbox\": [5, 35, 80, 46]}, {\"cell\": \"0.25 (0.23 to 0.27)\", \"bbox\": [262, 35, 337, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 35, 467, 46]}, {\"cell\": \"UK OGs vs EEAG\", \"bbox\": [5, 48, 77, 59]}, {\"cell\": \"0.66 (0.58 to 0.75)\", \"bbox\": [262, 48, 337, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 48, 467, 59]}, {\"cell\": \"UK OGs vs IMG\", \"bbox\": [5, 62, 71, 74]}, {\"cell\": \"1.29 (1.16 to 1.42)\", \"bbox\": [262, 62, 337, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 62, 470, 74]}, {\"cell\": \"Male sex\", \"bbox\": [5, 77, 43, 88]}, {\"cell\": \"0.70 (0.68 to 0.73)\", \"bbox\": [262, 77, 337, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 77, 398, 88]}, {\"cell\": \"Shortlisting score (z-score)\", \"bbox\": [5, 91, 114, 102]}, {\"cell\": \"1.74 (1.69 to 1.80)\", \"bbox\": [262, 91, 337, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 91, 398, 102]}, {\"cell\": \"Interview score (z-score)\", \"bbox\": [5, 106, 105, 117]}, {\"cell\": \"8.41 (8.10 to 8.73)\", \"bbox\": [262, 106, 337, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 106, 467, 117]}, {\"cell\": \"Age at selection\", \"bbox\": [5, 120, 71, 131]}, {\"cell\": \"0.93 (0.93 to 0.94)\", \"bbox\": [262, 120, 337, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 120, 398, 131]}, {\"cell\": \"UK experience (years) at selection\", \"bbox\": [5, 135, 143, 146]}, {\"cell\": \"1.50 (1.47 to 1.52)\", \"bbox\": [262, 135, 336, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 135, 466, 146]}, {\"cell\": \"Experience/age interaction\", \"bbox\": [5, 149, 114, 160]}, {\"cell\": \"–\", \"bbox\": [262, 149, 268, 160]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 149, 477, 160]}, {\"cell\": \"GDP of country of nationality (US$10 000 per person)\", \"bbox\": [4, 163, 221, 175]}, {\"cell\": \"1.52 (1.50 to 1.55)\", \"bbox\": [262, 163, 336, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 163, 398, 175]}, {\"cell\": \"GDP of country of qualification (US$10 000 per person)\", \"bbox\": [4, 178, 228, 189]}, {\"cell\": \"1.63 (1.60 to 1.65)\", \"bbox\": [262, 178, 336, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 178, 398, 189]}, {\"cell\": \"Difference in GDP countries (US$10 000 per person)\", \"bbox\": [4, 192, 216, 203]}, {\"cell\": \"0.87 (0.85 to 0.89)\", \"bbox\": [262, 192, 336, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 192, 398, 203]}, {\"cell\": \"Absolute difference in GDP (US$10 000 per person)\", \"bbox\": [4, 206, 212, 217]}, {\"cell\": \"0.74 (0.73 to 0.76)\", \"bbox\": [262, 206, 336, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 206, 398, 217]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC6082483_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
CountryEthiopiaIndiaNepalSouth AfricaUganda
AbbreviationET1ET2IN1IN2NE1NE2NE3NE4SA1SA2SA3[EMPTY_CELL]UG2
Number of participants171320171410118382637[EMPTY_CELL]22
Category of stakeholders[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
1.Policy makers[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]National* Health representatives[EMPTY_CELL]*X[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]X[EMPTY_CELL]XX*[EMPTY_CELL][EMPTY_CELL]X*X*
[EMPTY_CELL]State/province Health representatives[EMPTY_CELL][EMPTY_CELL]*X*X[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]X[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
2.District level planners and management[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]District Health representatives[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]Health planners/managersXXXX[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]XX
[EMPTY_CELL]District Medical officers[EMPTY_CELL][EMPTY_CELL]X[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]X[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]MH coordinators[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]XX[EMPTY_CELL]X[EMPTY_CELL]XX[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Other health coordinators[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]X[EMPTY_CELL]X[EMPTY_CELL]X[EMPTY_CELL][EMPTY_CELL]XX
[EMPTY_CELL]Other district administrative or finance staffX[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]XX
[EMPTY_CELL]Other district representatives (Justice, Education)X[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
3.Specialists[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]PsychiatristsX*XXXX[EMPTY_CELL]XXX[EMPTY_CELL]X[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Psychologists[EMPTY_CELL][EMPTY_CELL]XXXXXXX[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Psychiatric clinical officers[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]XX
[EMPTY_CELL]Psychiatric nurses[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]X[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]XX
[EMPTY_CELL]Other Medical Specialists[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]X[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
4.Service providers[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Community health center, primary health center and sub health posts[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]Clinic managers[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]X[EMPTY_CELL]X[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]Medical officers[EMPTY_CELL][EMPTY_CELL]XXX[EMPTY_CELL]X[EMPTY_CELL]X[EMPTY_CELL]X[EMPTY_CELL]X
[EMPTY_CELL]Clinical officers[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]X[EMPTY_CELL]
[EMPTY_CELL]Health Assistants[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]X[EMPTY_CELL]X[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Nurses[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]X[EMPTY_CELL]X[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]X[EMPTY_CELL]
[EMPTY_CELL]Lay Health workers (clinic based)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]X[EMPTY_CELL]X[EMPTY_CELL]XX[EMPTY_CELL][EMPTY_CELL]X
[EMPTY_CELL]Lay Health workers (community based)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Other clinic staff[EMPTY_CELL][EMPTY_CELL]XX[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]X[EMPTY_CELL]
5.Researchers[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]PRIMEXXXXXXXXX[EMPTY_CELL]XXX
6.Community and civil society[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]NGO/development organisationsX[EMPTY_CELL]XX[EMPTY_CELL]X[EMPTY_CELL]XXX[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Community[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]Community leadersX[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]X[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Media[EMPTY_CELL]X[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Faith leadersX[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]X[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Traditional healers[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]X[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
7.Mental Health Service users[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]X[EMPTY_CELL]X[EMPTY_CELL]X[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Country\", \"bbox\": [1, 4, 30, 13]}, {\"cell\": \"Ethiopia\", \"bbox\": [198, 4, 229, 13]}, {\"cell\": \"India\", \"bbox\": [242, 4, 261, 13]}, {\"cell\": \"Nepal\", \"bbox\": [284, 4, 306, 13]}, {\"cell\": \"South Africa\", \"bbox\": [376, 4, 420, 13]}, {\"cell\": \"Uganda\", \"bbox\": [444, 4, 473, 13]}, {\"cell\": \"Abbreviation\", \"bbox\": [1, 17, 47, 27]}, {\"cell\": \"ET1\", \"bbox\": [198, 17, 213, 27]}, {\"cell\": \"ET2\", \"bbox\": [220, 17, 235, 27]}, {\"cell\": \"IN1\", \"bbox\": [242, 17, 255, 27]}, {\"cell\": \"IN2\", \"bbox\": [263, 17, 276, 27]}, {\"cell\": \"NE1\", \"bbox\": [284, 17, 299, 27]}, {\"cell\": \"NE2\", \"bbox\": [307, 17, 322, 27]}, {\"cell\": \"NE3\", \"bbox\": [330, 17, 345, 27]}, {\"cell\": \"NE4\", \"bbox\": [353, 17, 368, 27]}, {\"cell\": \"SA1\", \"bbox\": [376, 17, 391, 27]}, {\"cell\": \"SA2\", \"bbox\": [398, 17, 414, 27]}, {\"cell\": \"SA3\", \"bbox\": [421, 17, 436, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 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{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.\", \"bbox\": [1, 59, 9, 69]}, {\"cell\": \"Policy makers\", \"bbox\": [16, 59, 66, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": 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{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"NGO/development organisations\", \"bbox\": [16, 488, 123, 498]}, {\"cell\": \"X\", \"bbox\": [198, 488, 205, 498]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [242, 488, 248, 498]}, {\"cell\": \"X\", \"bbox\": [263, 488, 269, 498]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [307, 488, 313, 498]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [353, 488, 359, 498]}, {\"cell\": \"X\", \"bbox\": [376, 488, 382, 498]}, {\"cell\": \"X\", \"bbox\": [398, 488, 405, 498]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 488, 427, 498]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Community\", \"bbox\": [16, 502, 56, 512]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Community leaders\", \"bbox\": [31, 516, 95, 526]}, {\"cell\": \"X\", \"bbox\": [198, 516, 205, 526]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [421, 516, 427, 526]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Media\", \"bbox\": [31, 530, 52, 540]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [220, 530, 226, 540]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Faith leaders\", \"bbox\": [31, 544, 73, 554]}, {\"cell\": \"X\", \"bbox\": [198, 544, 205, 554]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [398, 544, 405, 554]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Traditional healers\", \"bbox\": [31, 558, 91, 568]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [398, 558, 405, 568]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"7.\", \"bbox\": [1, 572, 9, 582]}, {\"cell\": \"Mental Health Service users\", \"bbox\": [16, 572, 114, 582]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [307, 572, 313, 582]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [353, 572, 359, 582]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [398, 572, 405, 582]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4012094_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
TreatmentDose (μM) Number of His+ revertants colonies/plate (mean ± SE)
TA 97aTA 98TA 100TA 102
Spontaneous[EMPTY_CELL]144.0 ± 8.7[EMPTY_CELL]140.3 ± 10.8325.7 ± 16.6
Positive control (BP)1.5 μg736.7 ± 30.1[EMPTY_CELL]704.3 ± 27.0694.0 ± 20.8
Punicalagin50132.3 ± 8.8[EMPTY_CELL]136.0 ± 11.7 320.0±21.9
100158.0 ± 7.436.3 ± 1.8[EMPTY_CELL]341.0 ± 18.3
250165.7 ± 10.931.0 ± 1.7[EMPTY_CELL]356.0 ± 10.4
500188.0 ± 9.522.3 ± 1.8[EMPTY_CELL]358.0 ± 19.9
Punicalagin + BP50645.3 ± 28.7 (15.1)[EMPTY_CELL]530.3 ± 26.4** (30.6)635.0 ± 23.0 (15.8)
100538.3 ± 28.9** (34.3)105.3 ± 9.0* (46.6)[EMPTY_CELL]595.0 ± 28.8* (28.0)
250431.0 ± 18.4*** (53.5)65.0 ± 6.8** (74.8)[EMPTY_CELL]496.0 ± 17.4** (58.6)
500316.0 ± 17.6*** (76.7)52.7 ± 4.3** (78.8)[EMPTY_CELL]438.0 ± 19.5*** (76.2)
R2[EMPTY_CELL]0.99[EMPTY_CELL]0.990.99
\", \"cells\": [{\"cell\": \"Treatment\", \"bbox\": [2, 10, 41, 20]}, {\"cell\": \"Dose (μM) \", \"bbox\": [89, 7, 131, 22]}, {\"cell\": \"Number of His+ revertants colonies/plate (mean ± SE)\", \"bbox\": [225, 1, 421, 17]}, {\"cell\": \"TA 97a\", \"bbox\": [173, 17, 200, 28]}, {\"cell\": \"TA 98\", \"bbox\": [263, 17, 287, 28]}, {\"cell\": \"TA 100\", \"bbox\": [351, 17, 378, 28]}, {\"cell\": \"TA 102\", \"bbox\": [446, 17, 472, 28]}, {\"cell\": \"Spontaneous\", \"bbox\": [2, 30, 50, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"144.0 ± 8.7\", \"bbox\": [166, 27, 207, 42]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [257, 27, 294, 42]}, {\"cell\": \"140.3 ± 10.8\", \"bbox\": [342, 27, 387, 42]}, {\"cell\": \"325.7 ± 16.6\", \"bbox\": [436, 27, 481, 42]}, {\"cell\": \"Positive control (BP)\", \"bbox\": [2, 42, 79, 53]}, {\"cell\": \"1.5 μg\", \"bbox\": [100, 39, 122, 55]}, {\"cell\": \"736.7 ± 30.1\", \"bbox\": [164, 39, 209, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [253, 39, 298, 55]}, {\"cell\": \"704.3 ± 27.0\", \"bbox\": [342, 39, 387, 55]}, {\"cell\": \"694.0 ± 20.8\", \"bbox\": [436, 39, 481, 55]}, {\"cell\": \"Punicalagin\", \"bbox\": [2, 76, 47, 87]}, {\"cell\": \"50\", \"bbox\": [105, 59, 116, 69]}, {\"cell\": \"132.3 ± 8.8\", \"bbox\": [166, 56, 207, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [257, 56, 294, 71]}, {\"cell\": \"136.0 ± 11.7\", \"bbox\": [342, 56, 387, 71]}, {\"cell\": \" 320.0±21.9\", \"bbox\": [439, 56, 479, 71]}, {\"cell\": \"100\", \"bbox\": [104, 71, 118, 82]}, {\"cell\": \"158.0 ± 7.4\", \"bbox\": [166, 68, 207, 83]}, {\"cell\": \"36.3 ± 1.8\", \"bbox\": [257, 68, 294, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [342, 68, 387, 83]}, {\"cell\": \"341.0 ± 18.3\", \"bbox\": [436, 68, 481, 83]}, {\"cell\": \"250\", \"bbox\": [103, 84, 118, 94]}, {\"cell\": \"165.7 ± 10.9\", \"bbox\": [164, 80, 209, 96]}, {\"cell\": \"31.0 ± 1.7\", \"bbox\": [257, 80, 294, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [342, 80, 387, 96]}, {\"cell\": \"356.0 ± 10.4\", \"bbox\": [436, 80, 481, 96]}, {\"cell\": \"500\", \"bbox\": [103, 96, 118, 107]}, {\"cell\": \"188.0 ± 9.5\", \"bbox\": [166, 93, 207, 108]}, {\"cell\": \"22.3 ± 1.8\", \"bbox\": [257, 93, 294, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [342, 93, 387, 108]}, {\"cell\": \"358.0 ± 19.9\", \"bbox\": [436, 93, 481, 108]}, {\"cell\": \"Punicalagin + BP\", \"bbox\": [2, 130, 67, 141]}, {\"cell\": \"50\", \"bbox\": [105, 113, 116, 123]}, {\"cell\": \"645.3 ± 28.7 (15.1)\", \"bbox\": [154, 109, 220, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 109, 307, 125]}, {\"cell\": \"530.3 ± 26.4** (30.6)\", \"bbox\": [326, 109, 403, 125]}, {\"cell\": \"635.0 ± 23.0 (15.8)\", \"bbox\": [425, 109, 492, 125]}, {\"cell\": \"100\", \"bbox\": [104, 125, 118, 136]}, {\"cell\": \"538.3 ± 28.9** (34.3)\", \"bbox\": [149, 121, 225, 137]}, {\"cell\": \"105.3 ± 9.0* (46.6)\", \"bbox\": [241, 121, 310, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [326, 121, 403, 137]}, {\"cell\": \"595.0 ± 28.8* (28.0)\", \"bbox\": [422, 121, 495, 137]}, {\"cell\": \"250\", \"bbox\": [103, 137, 118, 148]}, {\"cell\": \"431.0 ± 18.4*** (53.5)\", \"bbox\": [147, 134, 226, 150]}, {\"cell\": \"65.0 ± 6.8** (74.8)\", \"bbox\": [242, 134, 309, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [324, 134, 405, 150]}, {\"cell\": \"496.0 ± 17.4** (58.6)\", \"bbox\": [421, 134, 497, 150]}, {\"cell\": \"500\", \"bbox\": [103, 150, 118, 161]}, {\"cell\": \"316.0 ± 17.6*** (76.7)\", \"bbox\": [147, 146, 227, 162]}, {\"cell\": \"52.7 ± 4.3** (78.8)\", \"bbox\": [242, 146, 309, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [324, 146, 404, 162]}, {\"cell\": \"438.0 ± 19.5*** (76.2)\", \"bbox\": [419, 146, 499, 162]}, {\"cell\": \"R2\", \"bbox\": [2, 159, 13, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.99\", \"bbox\": [178, 163, 195, 173]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 163, 284, 173]}, {\"cell\": \"0.99\", \"bbox\": [356, 163, 373, 173]}, {\"cell\": \"0.99\", \"bbox\": [450, 163, 467, 173]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4052943_004_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
ParametersRecurrencePvalue
Present (%)Absent (%)
Total471 (42.4)[EMPTY_CELL][EMPTY_CELL]
Morphology of the largest adenoma[EMPTY_CELL][EMPTY_CELL]<0.001
Non-polypoid lesion79 (16.8)[EMPTY_CELL][EMPTY_CELL]
Polypoid lesion392 (83.2)[EMPTY_CELL][EMPTY_CELL]
>20% Villous features of the largest adenoma[EMPTY_CELL][EMPTY_CELL]<0.001
Yes178 (37.8)[EMPTY_CELL][EMPTY_CELL]
No293 (62.2)[EMPTY_CELL][EMPTY_CELL]
Degree of differentiation of the largest adenoma[EMPTY_CELL][EMPTY_CELL]<0.001
high grade199 (42.3)[EMPTY_CELL][EMPTY_CELL]
low grade272 (57.7)[EMPTY_CELL][EMPTY_CELL]
Location of the largest adenoma[EMPTY_CELL][EMPTY_CELL]0.028
Right-sided colon250 (53.1)[EMPTY_CELL][EMPTY_CELL]
Left-sided colon221 (46.9)[EMPTY_CELL][EMPTY_CELL]
Diameter of the largest adenoma (mm)[EMPTY_CELL][EMPTY_CELL]<0.001
≥10300 (63.7)[EMPTY_CELL][EMPTY_CELL]
<10171 (36.3)[EMPTY_CELL][EMPTY_CELL]
Number of the removed adenomas[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
≥3320 (67.9)[EMPTY_CELL]<0.001
<3151 (32.1)[EMPTY_CELL][EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Parameters\", \"bbox\": [59, 4, 100, 13]}, {\"cell\": \"Recurrence\", \"bbox\": [288, 4, 328, 13]}, {\"cell\": \"Pvalue\", \"bbox\": [458, 4, 484, 13]}, {\"cell\": \"Present (%)\", \"bbox\": [231, 17, 273, 26]}, {\"cell\": \"Absent (%)\", \"bbox\": [345, 17, 385, 26]}, {\"cell\": \"Total\", \"bbox\": [1, 30, 18, 40]}, {\"cell\": \"471 (42.4)\", \"bbox\": [236, 30, 269, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [349, 30, 382, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Morphology of the largest adenoma\", \"bbox\": [1, 44, 119, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.001\", \"bbox\": [459, 44, 483, 54]}, {\"cell\": \" Non-polypoid lesion\", \"bbox\": [8, 58, 76, 68]}, {\"cell\": \"79 (16.8)\", \"bbox\": [238, 58, 267, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [353, 58, 378, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Polypoid lesion\", \"bbox\": [8, 72, 59, 82]}, {\"cell\": \"392 (83.2)\", \"bbox\": [236, 72, 269, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [349, 72, 382, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \">20% Villous features of the largest adenoma\", \"bbox\": [0, 86, 149, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.001\", \"bbox\": [459, 86, 483, 96]}, {\"cell\": \" Yes\", \"bbox\": [8, 100, 21, 110]}, {\"cell\": \"178 (37.8)\", \"bbox\": [236, 100, 269, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [349, 100, 382, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" No\", \"bbox\": [8, 114, 20, 124]}, {\"cell\": \"293 (62.2)\", \"bbox\": [236, 114, 269, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [349, 114, 382, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Degree of differentiation of the largest adenoma\", \"bbox\": [0, 128, 159, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.001\", \"bbox\": [459, 128, 483, 138]}, {\"cell\": \" high grade\", \"bbox\": [8, 142, 46, 152]}, {\"cell\": \"199 (42.3)\", \"bbox\": [236, 142, 269, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [349, 142, 382, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" low grade\", \"bbox\": [8, 156, 43, 166]}, {\"cell\": \"272 (57.7)\", \"bbox\": [236, 156, 269, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [349, 156, 382, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Location of the largest adenoma\", \"bbox\": [0, 170, 108, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.028\", \"bbox\": [462, 170, 480, 180]}, {\"cell\": \" Right-sided colon\", \"bbox\": [8, 184, 67, 194]}, {\"cell\": \"250 (53.1)\", \"bbox\": [236, 184, 269, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [349, 184, 382, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Left-sided colon\", \"bbox\": [8, 198, 62, 208]}, {\"cell\": \"221 (46.9)\", \"bbox\": [236, 198, 269, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [349, 198, 382, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Diameter of the largest adenoma (mm)\", \"bbox\": [0, 212, 129, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.001\", \"bbox\": [459, 212, 483, 222]}, {\"cell\": \" ≥10\", \"bbox\": [8, 226, 23, 236]}, {\"cell\": \"300 (63.7)\", \"bbox\": [236, 226, 269, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [349, 226, 382, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" <10\", \"bbox\": [8, 240, 23, 250]}, {\"cell\": \"171 (36.3)\", \"bbox\": [236, 240, 269, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [349, 240, 382, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Number of the removed adenomas\", \"bbox\": [0, 254, 117, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" ≥3\", \"bbox\": [8, 268, 19, 278]}, {\"cell\": \"320 (67.9)\", \"bbox\": [236, 268, 269, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [349, 268, 382, 278]}, {\"cell\": \"<0.001\", \"bbox\": [459, 268, 483, 278]}, {\"cell\": \" <3\", \"bbox\": [8, 282, 19, 292]}, {\"cell\": \"151 (32.1)\", \"bbox\": [236, 282, 269, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [349, 282, 382, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4287308_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariableCHUVNumber (%)HUGCHCVSp*
Age (years)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.68
Median5761[EMPTY_CELL][EMPTY_CELL]
Range48 - 7341 - 76[EMPTY_CELL][EMPTY_CELL]
Gender[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.99
Female6 (46)7 (26)[EMPTY_CELL][EMPTY_CELL]
Male7 (54)20 (74)[EMPTY_CELL][EMPTY_CELL]
GPA[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.50
Median3.02.5[EMPTY_CELL][EMPTY_CELL]
Range2 - 41 - 4[EMPTY_CELL][EMPTY_CELL]
RPA[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.28
15 (38)8 (30)[EMPTY_CELL][EMPTY_CELL]
28 (62)12 (44)[EMPTY_CELL][EMPTY_CELL]
30 (0)7 (26)[EMPTY_CELL][EMPTY_CELL]
Lung cancer, type[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.03
Adenocarcinoma9 (69)17 (63)[EMPTY_CELL][EMPTY_CELL]
SCC1 (23)4 (22)[EMPTY_CELL][EMPTY_CELL]
Neuro-endocrine3 (8)6 (15)[EMPTY_CELL][EMPTY_CELL]
Number of metastasis[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.88
112 (92)22 (82)[EMPTY_CELL][EMPTY_CELL]
2 - 31 (8)5 (18)[EMPTY_CELL][EMPTY_CELL]
Brain metastasis[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.13
Synchronous21 (78)6 (46)[EMPTY_CELL][EMPTY_CELL]
Metachronous6 (22)7 (54)[EMPTY_CELL][EMPTY_CELL]
Brain surgery (metastatectomy)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.44
Yes11 (85)19 (70)[EMPTY_CELL][EMPTY_CELL]
No2 (15)8 (30)[EMPTY_CELL][EMPTY_CELL]
Dose (Gy)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]< 0.01
≤ 39026[EMPTY_CELL][EMPTY_CELL]
> 39131[EMPTY_CELL][EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Variable\", \"bbox\": [1, 4, 31, 13]}, {\"cell\": \"CHUV\", \"bbox\": [110, 4, 132, 13]}, {\"cell\": \"Number (%)HUG\", \"bbox\": [144, 4, 174, 31]}, {\"cell\": \"CHCVS\", \"bbox\": [185, 4, 210, 13]}, {\"cell\": \"p*\", \"bbox\": [220, 4, 230, 13]}, {\"cell\": \"Age (years)\", \"bbox\": [1, 35, 39, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.68\", \"bbox\": [218, 35, 233, 45]}, {\"cell\": \"Median\", \"bbox\": [1, 47, 26, 57]}, {\"cell\": \"57\", \"bbox\": [116, 47, 126, 57]}, {\"cell\": \"61\", \"bbox\": [154, 47, 164, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [193, 47, 202, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Range\", \"bbox\": [1, 59, 22, 69]}, {\"cell\": \"48 - 73\", \"bbox\": [108, 59, 133, 69]}, {\"cell\": \"41 - 76\", \"bbox\": [147, 59, 172, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [185, 59, 210, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Gender\", \"bbox\": [1, 72, 27, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.99\", \"bbox\": [218, 72, 233, 82]}, {\"cell\": \"Female\", \"bbox\": [1, 84, 25, 94]}, {\"cell\": \"6 (46)\", \"bbox\": [111, 84, 131, 94]}, {\"cell\": \"7 (26)\", \"bbox\": [149, 84, 169, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 84, 208, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Male\", \"bbox\": [1, 96, 18, 106]}, {\"cell\": \"7 (54)\", \"bbox\": [111, 96, 131, 106]}, {\"cell\": \"20 (74)\", \"bbox\": [147, 96, 171, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 96, 208, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"GPA\", \"bbox\": [1, 109, 17, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.50\", \"bbox\": [218, 109, 233, 119]}, {\"cell\": \"Median\", \"bbox\": [1, 121, 26, 131]}, {\"cell\": \"3.0\", \"bbox\": [115, 121, 126, 131]}, {\"cell\": \"2.5\", \"bbox\": [154, 121, 165, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [192, 121, 203, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Range\", \"bbox\": [1, 133, 22, 143]}, {\"cell\": \"2 - 4\", \"bbox\": [112, 133, 130, 143]}, {\"cell\": \"1 - 4\", \"bbox\": [151, 133, 168, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [189, 133, 206, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"RPA\", \"bbox\": [1, 146, 16, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.28\", \"bbox\": [218, 147, 233, 156]}, {\"cell\": \"1\", \"bbox\": [1, 158, 6, 168]}, {\"cell\": \"5 (38)\", \"bbox\": [111, 158, 131, 168]}, {\"cell\": \"8 (30)\", \"bbox\": [149, 158, 169, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 158, 208, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2\", \"bbox\": [1, 170, 6, 180]}, {\"cell\": \"8 (62)\", \"bbox\": [111, 170, 131, 180]}, {\"cell\": \"12 (44)\", \"bbox\": [147, 170, 171, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 170, 208, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3\", \"bbox\": [1, 182, 6, 192]}, {\"cell\": \"0 (0)\", \"bbox\": [113, 182, 129, 192]}, {\"cell\": \"7 (26)\", \"bbox\": [149, 182, 169, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [185, 182, 210, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Lung cancer, type\", \"bbox\": [1, 196, 63, 205]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.03\", \"bbox\": [218, 196, 233, 205]}, {\"cell\": \"Adenocarcinoma\", \"bbox\": [1, 208, 57, 217]}, {\"cell\": \"9 (69)\", \"bbox\": [111, 208, 131, 217]}, {\"cell\": \"17 (63)\", \"bbox\": [147, 208, 171, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 208, 208, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"SCC\", \"bbox\": [1, 220, 15, 229]}, {\"cell\": \"1 (23)\", \"bbox\": [111, 220, 131, 229]}, {\"cell\": \"4 (22)\", \"bbox\": [149, 220, 169, 229]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 220, 208, 229]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Neuro-endocrine\", \"bbox\": [1, 231, 56, 241]}, {\"cell\": \"3 (8)\", \"bbox\": [113, 231, 129, 241]}, {\"cell\": \"6 (15)\", \"bbox\": [149, 231, 169, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [189, 231, 206, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Number of metastasis\", \"bbox\": [1, 245, 76, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.88\", \"bbox\": [218, 245, 233, 254]}, {\"cell\": \"1\", \"bbox\": [1, 257, 6, 266]}, {\"cell\": \"12 (92)\", \"bbox\": [109, 257, 133, 266]}, {\"cell\": \"22 (82)\", \"bbox\": [147, 257, 171, 266]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 257, 210, 266]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2 - 3\", \"bbox\": [1, 269, 18, 278]}, {\"cell\": \"1 (8)\", \"bbox\": [113, 269, 129, 278]}, {\"cell\": \"5 (18)\", \"bbox\": [149, 269, 169, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 269, 208, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Brain metastasis\", \"bbox\": [1, 282, 57, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.13\", \"bbox\": [218, 282, 233, 291]}, {\"cell\": \"Synchronous\", \"bbox\": [1, 294, 44, 303]}, {\"cell\": \"21 (78)\", \"bbox\": [109, 294, 133, 303]}, {\"cell\": \"6 (46)\", \"bbox\": [149, 294, 169, 303]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 294, 208, 303]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Metachronous\", \"bbox\": [1, 306, 48, 315]}, {\"cell\": \"6 (22)\", \"bbox\": [111, 306, 131, 315]}, {\"cell\": \"7 (54)\", \"bbox\": [149, 306, 169, 315]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 306, 208, 315]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Brain surgery (metastatectomy)\", \"bbox\": [1, 319, 58, 337]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.44\", \"bbox\": [218, 319, 233, 328]}, {\"cell\": \"Yes\", \"bbox\": [1, 340, 13, 349]}, {\"cell\": \"11 (85)\", \"bbox\": [109, 340, 133, 349]}, {\"cell\": \"19 (70)\", \"bbox\": [147, 340, 171, 349]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 340, 208, 349]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No\", \"bbox\": [1, 352, 12, 361]}, {\"cell\": \"2 (15)\", \"bbox\": [111, 352, 131, 361]}, {\"cell\": \"8 (30)\", \"bbox\": [149, 352, 169, 361]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 352, 208, 361]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Dose (Gy)\", \"bbox\": [1, 365, 34, 374]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"< 0.01\", \"bbox\": [214, 365, 236, 374]}, {\"cell\": \" ≤ 39\", \"bbox\": [15, 377, 32, 386]}, {\"cell\": \"0\", \"bbox\": [118, 377, 124, 386]}, {\"cell\": \"26\", \"bbox\": [154, 377, 164, 386]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [195, 377, 201, 386]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" > 39\", \"bbox\": [15, 389, 32, 398]}, {\"cell\": \"13\", \"bbox\": [116, 389, 126, 398]}, {\"cell\": \"1\", \"bbox\": [156, 389, 162, 398]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [193, 389, 202, 398]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2834695_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Gene symbolGene NamemRNA accession numberFunction
ACTBBeta-actinNM_031144[EMPTY_CELL]
ARBPAcidic ribosomal phosphoprotein P0NM_022402[EMPTY_CELL]
GAPDHGlyceraldeyde-3-phosphate dehydrogenaseNM_017008[EMPTY_CELL]
HPRTHypoxanthine guanine phosphoribosyl transferaseNM_012583[EMPTY_CELL]
SDHASuccinate dehydrogenase complex, subunit A, flavoproteinNM_130428[EMPTY_CELL]
UBCUbiquitin CNM_017314[EMPTY_CELL]
YWHAZTyrosine 3-monooxygenase/tryptophan 5-monooxygenase activation protein, zeta polypeptideNM_013011[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Gene symbol\", \"bbox\": [4, 5, 57, 14]}, {\"cell\": \"Gene Name\", \"bbox\": [63, 5, 111, 14]}, {\"cell\": \"mRNA accession number\", \"bbox\": [245, 5, 345, 14]}, {\"cell\": \"Function\", \"bbox\": [351, 5, 387, 14]}, {\"cell\": \"ACTB\", \"bbox\": [4, 27, 24, 35]}, {\"cell\": \"Beta-actin\", \"bbox\": [63, 27, 98, 36]}, {\"cell\": \"NM_031144\", \"bbox\": [245, 27, 289, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [351, 27, 456, 36]}, {\"cell\": \"ARBP\", \"bbox\": [4, 37, 23, 45]}, {\"cell\": \"Acidic ribosomal phosphoprotein P0\", \"bbox\": [63, 37, 187, 47]}, {\"cell\": \"NM_022402\", \"bbox\": [245, 37, 289, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [351, 37, 490, 56]}, {\"cell\": \"GAPDH\", \"bbox\": [4, 57, 31, 64]}, {\"cell\": \"Glyceraldeyde-3-phosphate dehydrogenase\", \"bbox\": [63, 56, 209, 66]}, {\"cell\": \"NM_017008\", \"bbox\": [245, 56, 289, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [351, 56, 414, 66]}, {\"cell\": \"HPRT\", \"bbox\": [4, 67, 24, 75]}, {\"cell\": \"Hypoxanthine guanine phosphoribosyl transferase\", \"bbox\": [63, 67, 231, 76]}, {\"cell\": \"NM_012583\", \"bbox\": [245, 67, 289, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [351, 67, 496, 86]}, {\"cell\": \"SDHA\", \"bbox\": [4, 86, 26, 94]}, {\"cell\": \"Succinate dehydrogenase complex, subunit A, flavoprotein\", \"bbox\": [63, 86, 217, 105]}, {\"cell\": \"NM_130428\", \"bbox\": [245, 86, 289, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [351, 86, 478, 96]}, {\"cell\": \"UBC\", \"bbox\": [4, 106, 20, 114]}, {\"cell\": \"Ubiquitin C\", \"bbox\": [63, 106, 103, 115]}, {\"cell\": \"NM_017314\", \"bbox\": [245, 106, 289, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [351, 106, 496, 115]}, {\"cell\": \"YWHAZ\", \"bbox\": [4, 116, 33, 124]}, {\"cell\": \"Tyrosine 3-monooxygenase/tryptophan 5-monooxygenase activation protein, zeta polypeptide\", \"bbox\": [63, 116, 239, 135]}, {\"cell\": \"NM_013011\", \"bbox\": [245, 116, 289, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [351, 116, 457, 126]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2492873_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
CharacteristicTotal16–20 AIY21–30 AIY31–40 AIY41–50 AIY51–60 AIY>60 AIY
Male50 (59.5)[EMPTY_CELL]18 (20.5)11 (13.3)5 (6.0)3 (3.6)7 (8.4)
Female27 (32.1)[EMPTY_CELL]8 (8.4)8 (9.6)1 (1.2)4 (4.8)1 (1.2)
Unknown7 (8.4)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
NationalitySwiss[EMPTY_CELL]East EAfricanAsianOther/Unknown[EMPTY_CELL]
[EMPTY_CELL]50 (59.2)[EMPTY_CELL]8 (9.6)3 (3.6)4 (4.8)10 (12)[EMPTY_CELL]
Country of OriginL&M-IC[EMPTY_CELL]Unknown[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]17[EMPTY_CELL]12[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Year2013[EMPTY_CELL]20152016Total[EMPTY_CELL][EMPTY_CELL]
Total of WPV cases17[EMPTY_CELL]222084[EMPTY_CELL][EMPTY_CELL]
RR M0.4[EMPTY_CELL]0.290.350.31[EMPTY_CELL][EMPTY_CELL]
Admission Self-admission AmbulanceSelf-admission[EMPTY_CELL]PolicePsychiatristPhysicianOther/Unknown[EMPTY_CELL]
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DiagnosisPsychiatric[EMPTY_CELL]IntoxInjuryOtherUnknown[EMPTY_CELL]
[EMPTY_CELL]29 (34.9)[EMPTY_CELL]11 (17.5)12 (19.0)18 (21.7)6 (7.2)[EMPTY_CELL]
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{\"cell\": \"Other/Unknown\", \"bbox\": [322, 136, 378, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"19 (22.9)\", \"bbox\": [88, 154, 117, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [141, 154, 169, 163]}, {\"cell\": \"9 (10.8)\", \"bbox\": [190, 154, 215, 163]}, {\"cell\": \"3 (3.6)\", \"bbox\": [239, 154, 260, 163]}, {\"cell\": \"5 (6.0)\", \"bbox\": [286, 154, 307, 163]}, {\"cell\": \"9 (10.8)\", \"bbox\": [337, 154, 362, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Diagnosis\", \"bbox\": [21, 167, 55, 176]}, {\"cell\": \"Psychiatric\", \"bbox\": [84, 167, 121, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [142, 167, 169, 176]}, {\"cell\": \"Intox\", \"bbox\": [193, 167, 212, 176]}, {\"cell\": \"Injury\", \"bbox\": [239, 167, 260, 176]}, {\"cell\": \"Other\", \"bbox\": [286, 167, 307, 176]}, {\"cell\": \"Unknown\", \"bbox\": [332, 167, 366, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"29 (34.9)\", \"bbox\": [88, 175, 117, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [141, 175, 169, 185]}, {\"cell\": \"11 (17.5)\", \"bbox\": [188, 175, 217, 185]}, {\"cell\": \"12 (19.0)\", \"bbox\": [235, 175, 264, 185]}, {\"cell\": \"18 (21.7)\", \"bbox\": [282, 175, 311, 185]}, {\"cell\": \"6 (7.2)\", \"bbox\": [339, 175, 360, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC6069438_002_00.png"], "system": "You are a multi-task OCR recognition expert. 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[EMPTY_CELL][EMPTY_CELL]NOR (95%CI)[EMPTY_CELL]NOR (95%CI)[EMPTY_CELL]NOR (95%CI)
Rs599839ApoB ≥75th perc617[EMPTY_CELL]Tot-chol ≥75th perc6111.72LDL-chol ≥75th perc13041.63
(1.86-2.77)(1.40-2.10)(1.32-2.01)
[EMPTY_CELL]AG + GG vs AA601[EMPTY_CELL]AG + GG vs AA5621.13AG + GG vs AA1881.13
(1.10-1.64)[EMPTY_CELL](0.93-1.37)[EMPTY_CELL]
[EMPTY_CELL]Both234[EMPTY_CELL]Both4741.80Both4741.68
(1.33-2.34)(1.36-2.37)(1.24-2.27)
S (95%CI)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.94[EMPTY_CELL][EMPTY_CELL]0.89
(0.24-0.90)(0.46-1.92)(0.38-2.06)
Rs646776ApoB ≥75th perc536[EMPTY_CELL]Tot-chol ≥75th perc5821.79LDL-chol ≥75th perc4161.54
(1.76-2.70)(1.45-2.20)(1.23-1.93)
[EMPTY_CELL]CC + CT vs TT787[EMPTY_CELL]CC + CT vs TT7510.98CC + CT vs TT8370.94
(0.90-1.33)(0.81-1.19)(0.79-1.13)
[EMPTY_CELL]Both312[EMPTY_CELL]Both3501.76Both2431.68
(1.38-2.32)(1.37-2.25)(1.27-2.23)
S (95%CI)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.97[EMPTY_CELL][EMPTY_CELL]1.39
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL](0.50-1.89)[EMPTY_CELL][EMPTY_CELL](0.53-3.63)
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"N\", \"bbox\": [115, 4, 122, 13]}, {\"cell\": \"OR (95%CI)\", \"bbox\": [135, 4, 176, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"N\", \"bbox\": [266, 4, 273, 13]}, {\"cell\": \"OR (95%CI)\", \"bbox\": [286, 4, 327, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"N\", \"bbox\": [421, 4, 428, 13]}, {\"cell\": \"OR (95%CI)\", \"bbox\": [443, 4, 484, 13]}, {\"cell\": \"Rs599839\", \"bbox\": [1, 17, 36, 26]}, {\"cell\": \"ApoB ≥75th perc\", \"bbox\": [46, 15, 102, 26]}, {\"cell\": \"617\", \"bbox\": [112, 17, 125, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [148, 17, 163, 26]}, {\"cell\": \"Tot-chol ≥75th perc\", \"bbox\": [187, 15, 252, 26]}, {\"cell\": \"611\", \"bbox\": [263, 17, 276, 26]}, {\"cell\": \"1.72\", \"bbox\": [299, 17, 314, 26]}, {\"cell\": \"LDL-chol ≥75th perc\", \"bbox\": [338, 15, 405, 26]}, {\"cell\": \"1304\", \"bbox\": 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{\"cell\": \"0.94\", \"bbox\": [300, 101, 314, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.89\", \"bbox\": [457, 101, 471, 110]}, {\"cell\": \"(0.24-0.90)\", \"bbox\": [139, 115, 173, 124]}, {\"cell\": \"(0.46-1.92)\", \"bbox\": [290, 115, 324, 124]}, {\"cell\": \"(0.38-2.06)\", \"bbox\": [447, 115, 481, 124]}, {\"cell\": \"Rs646776\", \"bbox\": [1, 129, 36, 138]}, {\"cell\": \"ApoB ≥75th perc\", \"bbox\": [46, 127, 102, 138]}, {\"cell\": \"536\", \"bbox\": [112, 129, 125, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [148, 129, 163, 138]}, {\"cell\": \"Tot-chol ≥75th perc\", \"bbox\": [186, 129, 253, 138]}, {\"cell\": \"582\", \"bbox\": [263, 129, 276, 138]}, {\"cell\": \"1.79\", \"bbox\": [299, 129, 314, 138]}, {\"cell\": \"LDL-chol ≥75th perc\", \"bbox\": [337, 129, 406, 138]}, {\"cell\": \"416\", \"bbox\": [418, 129, 431, 138]}, {\"cell\": \"1.54\", \"bbox\": [457, 129, 471, 138]}, {\"cell\": \"(1.76-2.70)\", 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{\"cell\": \"312\", \"bbox\": [112, 185, 125, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [148, 185, 163, 194]}, {\"cell\": \"Both\", \"bbox\": [211, 185, 228, 194]}, {\"cell\": \"350\", \"bbox\": [263, 185, 276, 194]}, {\"cell\": \"1.76\", \"bbox\": [299, 185, 314, 194]}, {\"cell\": \"Both\", \"bbox\": [363, 185, 380, 194]}, {\"cell\": \"243\", \"bbox\": [418, 185, 431, 194]}, {\"cell\": \"1.68\", \"bbox\": [457, 185, 471, 194]}, {\"cell\": \"(1.38-2.32)\", \"bbox\": [139, 199, 173, 208]}, {\"cell\": \"(1.37-2.25)\", \"bbox\": [290, 199, 324, 208]}, {\"cell\": \"(1.27-2.23)\", \"bbox\": [447, 199, 481, 208]}, {\"cell\": \"S (95%CI)\", \"bbox\": [1, 213, 32, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [148, 213, 163, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.97\", \"bbox\": [299, 213, 314, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.39\", \"bbox\": [457, 213, 471, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 227, 173, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"(0.50-1.89)\", \"bbox\": [290, 227, 324, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"(0.53-3.63)\", \"bbox\": [447, 227, 481, 236]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3480949_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Month≥ 65 years (n = 308,952)30 to < 65 years (n = 317,998)
No.Death rate (%)RRs (95% CI)*P-valueNo.Death rate (%)RRs (95% CI)*P-value
January23,9125.01.49 (1.36, 1.63)< 0.0123,2441.3[EMPTY_CELL]0.43
February23,0544.61.39 (1.27, 1.52)< 0.0122,2661.3[EMPTY_CELL]0.82
March28,5873.51.06 (0.96, 1.16)0.2430,4631.0[EMPTY_CELL]0.07
April27,7453.91.18 (1.08, 1.29)< 0.0127,7701.2[EMPTY_CELL]0.91
May†26,7583.3Reference[EMPTY_CELL]27,2481.2[EMPTY_CELL][EMPTY_CELL]
June24,5553.51.03 (0.94, 1.14)0.5125,2701.1[EMPTY_CELL]0.29
July23,6893.71.10 (1.00, 1.21)0.0525,3761.1[EMPTY_CELL]0.15
August23,6953.71.09 (0.99, 1.19)0.0925,1201.2[EMPTY_CELL]0.30
September24,2134.01.19 (1.08, 1.30)< 0.0124,3951.3[EMPTY_CELL]0.79
October28,0064.21.26 (1.15, 1.37)< 0.0128,1491.3[EMPTY_CELL]0.53
November28,0274.31.29 (1.18, 1.41)< 0.0130,1101.3[EMPTY_CELL]0.45
December26,7114.51.35 (1.24, 1.48)< 0.0128,5871.2[EMPTY_CELL]0.86
\", \"cells\": [{\"cell\": \"Month\", \"bbox\": [1, 4, 25, 13]}, {\"cell\": \"≥ 65 years (n = 308,952)\", \"bbox\": [116, 4, 200, 13]}, {\"cell\": \"30 to < 65 years (n = 317,998)\", \"bbox\": [329, 4, 434, 13]}, {\"cell\": \"No.\", \"bbox\": [60, 17, 73, 27]}, {\"cell\": \"Death rate (%)\", \"bbox\": [95, 17, 148, 27]}, {\"cell\": \"RRs (95% CI)*\", \"bbox\": [167, 15, 215, 27]}, {\"cell\": \"P-value\", \"bbox\": [234, 17, 261, 27]}, {\"cell\": \"No.\", \"bbox\": [283, 17, 297, 27]}, {\"cell\": \"Death rate (%)\", \"bbox\": [319, 17, 371, 27]}, {\"cell\": \"RRs (95% CI)*\", \"bbox\": [390, 15, 438, 27]}, {\"cell\": \"P-value\", \"bbox\": [457, 17, 484, 27]}, {\"cell\": \"January\", \"bbox\": [1, 30, 27, 40]}, {\"cell\": \"23,912\", \"bbox\": [55, 30, 78, 40]}, {\"cell\": \"5.0\", \"bbox\": [116, 30, 127, 40]}, {\"cell\": \"1.49 (1.36, 1.63)\", \"bbox\": [165, 30, 216, 40]}, {\"cell\": \"< 0.01\", \"bbox\": [237, 30, 258, 40]}, {\"cell\": \"23,244\", \"bbox\": [279, 30, 301, 40]}, {\"cell\": \"1.3\", \"bbox\": [339, 30, 350, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [389, 30, 439, 40]}, {\"cell\": \"0.43\", \"bbox\": [463, 30, 478, 40]}, {\"cell\": \"February\", \"bbox\": [1, 44, 30, 54]}, {\"cell\": \"23,054\", \"bbox\": [55, 44, 78, 54]}, {\"cell\": \"4.6\", \"bbox\": [116, 44, 127, 54]}, {\"cell\": \"1.39 (1.27, 1.52)\", \"bbox\": [165, 44, 216, 54]}, {\"cell\": \"< 0.01\", \"bbox\": [237, 44, 258, 54]}, {\"cell\": \"22,266\", \"bbox\": [279, 44, 301, 54]}, {\"cell\": \"1.3\", \"bbox\": [339, 44, 350, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [389, 44, 439, 54]}, {\"cell\": \"0.82\", \"bbox\": [463, 44, 478, 54]}, {\"cell\": \"March\", \"bbox\": [1, 58, 22, 68]}, {\"cell\": \"28,587\", \"bbox\": [55, 58, 78, 68]}, {\"cell\": \"3.5\", \"bbox\": [116, 58, 127, 68]}, {\"cell\": \"1.06 (0.96, 1.16)\", \"bbox\": [165, 58, 216, 68]}, {\"cell\": \"0.24\", \"bbox\": [240, 58, 255, 68]}, {\"cell\": \"30,463\", \"bbox\": [279, 58, 301, 68]}, {\"cell\": \"1.0\", \"bbox\": [339, 58, 350, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [389, 58, 439, 68]}, {\"cell\": \"0.07\", \"bbox\": [463, 58, 478, 68]}, {\"cell\": \"April\", \"bbox\": [1, 72, 17, 82]}, {\"cell\": \"27,745\", \"bbox\": [55, 72, 78, 82]}, {\"cell\": \"3.9\", \"bbox\": [116, 72, 127, 82]}, {\"cell\": \"1.18 (1.08, 1.29)\", \"bbox\": [165, 72, 216, 82]}, {\"cell\": \"< 0.01\", \"bbox\": [237, 72, 258, 82]}, {\"cell\": \"27,770\", \"bbox\": [279, 72, 301, 82]}, {\"cell\": \"1.2\", \"bbox\": [339, 72, 350, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [389, 72, 439, 82]}, {\"cell\": \"0.91\", \"bbox\": [463, 72, 478, 82]}, {\"cell\": \"May†\", \"bbox\": [1, 85, 19, 96]}, {\"cell\": \"26,758\", \"bbox\": [55, 86, 78, 96]}, {\"cell\": \"3.3\", \"bbox\": [116, 86, 127, 96]}, {\"cell\": \"Reference\", \"bbox\": [174, 86, 207, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"27,248\", \"bbox\": [279, 86, 301, 96]}, {\"cell\": \"1.2\", \"bbox\": [339, 86, 350, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [397, 86, 431, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"June\", \"bbox\": [1, 100, 17, 110]}, {\"cell\": \"24,555\", \"bbox\": [55, 100, 78, 110]}, {\"cell\": \"3.5\", \"bbox\": [116, 100, 127, 110]}, {\"cell\": \"1.03 (0.94, 1.14)\", \"bbox\": [165, 100, 216, 110]}, {\"cell\": \"0.51\", \"bbox\": [240, 100, 255, 110]}, {\"cell\": \"25,270\", \"bbox\": [279, 100, 301, 110]}, {\"cell\": \"1.1\", \"bbox\": [339, 100, 350, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [389, 100, 439, 110]}, {\"cell\": \"0.29\", \"bbox\": [463, 100, 478, 110]}, {\"cell\": \"July\", \"bbox\": [1, 114, 15, 124]}, {\"cell\": \"23,689\", \"bbox\": [55, 114, 78, 124]}, {\"cell\": \"3.7\", \"bbox\": [116, 114, 127, 124]}, {\"cell\": \"1.10 (1.00, 1.21)\", \"bbox\": [165, 114, 216, 124]}, {\"cell\": \"0.05\", \"bbox\": [240, 114, 255, 124]}, {\"cell\": \"25,376\", \"bbox\": [279, 114, 301, 124]}, {\"cell\": \"1.1\", \"bbox\": [339, 114, 350, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [389, 114, 439, 124]}, {\"cell\": \"0.15\", \"bbox\": [463, 114, 478, 124]}, {\"cell\": \"August\", \"bbox\": [1, 128, 25, 138]}, {\"cell\": \"23,695\", \"bbox\": [55, 128, 78, 138]}, {\"cell\": \"3.7\", \"bbox\": [116, 128, 127, 138]}, {\"cell\": \"1.09 (0.99, 1.19)\", \"bbox\": [165, 128, 216, 138]}, {\"cell\": \"0.09\", \"bbox\": [240, 128, 255, 138]}, {\"cell\": \"25,120\", \"bbox\": [279, 128, 301, 138]}, {\"cell\": \"1.2\", \"bbox\": [339, 128, 350, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [389, 128, 439, 138]}, {\"cell\": \"0.30\", \"bbox\": [463, 128, 478, 138]}, {\"cell\": \"September\", \"bbox\": [1, 142, 37, 152]}, {\"cell\": \"24,213\", \"bbox\": [55, 142, 78, 152]}, {\"cell\": \"4.0\", \"bbox\": [116, 142, 127, 152]}, {\"cell\": \"1.19 (1.08, 1.30)\", \"bbox\": [165, 142, 216, 152]}, {\"cell\": \"< 0.01\", \"bbox\": [237, 142, 258, 152]}, {\"cell\": \"24,395\", \"bbox\": [279, 142, 301, 152]}, {\"cell\": \"1.3\", \"bbox\": [339, 142, 350, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [389, 142, 439, 152]}, {\"cell\": \"0.79\", \"bbox\": [463, 142, 478, 152]}, {\"cell\": \"October\", \"bbox\": [1, 156, 28, 166]}, {\"cell\": \"28,006\", \"bbox\": [55, 156, 78, 166]}, {\"cell\": \"4.2\", \"bbox\": [116, 156, 127, 166]}, {\"cell\": \"1.26 (1.15, 1.37)\", \"bbox\": [165, 156, 216, 166]}, {\"cell\": \"< 0.01\", \"bbox\": [237, 156, 258, 166]}, {\"cell\": \"28,149\", \"bbox\": [279, 156, 301, 166]}, {\"cell\": \"1.3\", \"bbox\": [339, 156, 350, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [389, 156, 439, 166]}, {\"cell\": \"0.53\", \"bbox\": [463, 156, 478, 166]}, {\"cell\": \"November\", \"bbox\": [1, 170, 36, 180]}, {\"cell\": \"28,027\", \"bbox\": [55, 170, 78, 180]}, {\"cell\": \"4.3\", \"bbox\": [116, 170, 127, 180]}, {\"cell\": \"1.29 (1.18, 1.41)\", \"bbox\": [165, 170, 216, 180]}, {\"cell\": \"< 0.01\", \"bbox\": [237, 170, 258, 180]}, {\"cell\": \"30,110\", \"bbox\": [279, 170, 301, 180]}, {\"cell\": \"1.3\", \"bbox\": [339, 170, 350, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [389, 170, 439, 180]}, {\"cell\": \"0.45\", \"bbox\": [463, 170, 478, 180]}, {\"cell\": \"December\", \"bbox\": [1, 184, 36, 194]}, {\"cell\": \"26,711\", \"bbox\": [55, 184, 78, 194]}, {\"cell\": \"4.5\", \"bbox\": [116, 184, 127, 194]}, {\"cell\": \"1.35 (1.24, 1.48)\", \"bbox\": [165, 184, 216, 194]}, {\"cell\": \"< 0.01\", \"bbox\": [237, 184, 258, 194]}, {\"cell\": \"28,587\", \"bbox\": [279, 184, 301, 194]}, {\"cell\": \"1.2\", \"bbox\": [339, 184, 350, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [389, 184, 439, 194]}, {\"cell\": \"0.86\", \"bbox\": [463, 184, 478, 194]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3840603_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]LISCTR1DMTUCTR2
Number of Rats[EMPTY_CELL]787
Age (weak)[EMPTY_CELL]28.80 ± 2.7217.71 ± 0.5218.62 ± 0.67
GBM Thickness, δbm × 10-4 (cm)[EMPTY_CELL]6.16 ± 0.955.08 ± 1.605.43 ± 1.31
Albumin Diffusivity, D × 10-7 (cm2·sec-1)[EMPTY_CELL]5.82 ± 0.115.60 ± 0.175.82 ± 0.02
Albumin Permeability, Ps × 10-4 (cm·sec-1)[EMPTY_CELL]9.63 ± 1.5211.70 ± 3.2311.11 ± 2.45
Albumin concentration difference, ΔC (g·dL-1)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
50 mmHg[EMPTY_CELL]4.59 ± 1.156.52 ± 0.875.67 ± 0.17
100 mmHg[EMPTY_CELL]5.02 ± 1.516.77 ± 0.425.43 ± 0.26
200 mmHg[EMPTY_CELL]5.15 ± 0.96a7.26 ± 0.77a,b6.52 ± 0.46a,b
300 mmHg[EMPTY_CELL]5.51 ± 1.14a,b6.82 ± 1.02a6.07 ± 0.36a,b
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"LIS\", \"bbox\": [256, 6, 273, 14]}, {\"cell\": \"CTR1\", \"bbox\": [320, 6, 346, 14]}, {\"cell\": \"DMTU\", \"bbox\": [390, 6, 420, 14]}, {\"cell\": \"CTR2\", \"bbox\": [463, 6, 489, 14]}, {\"cell\": \"Number of Rats\", \"bbox\": [29, 18, 89, 32]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [261, 18, 268, 32]}, {\"cell\": \"7\", \"bbox\": [330, 18, 336, 32]}, {\"cell\": \"8\", \"bbox\": [401, 18, 408, 32]}, {\"cell\": \"7\", \"bbox\": [473, 18, 480, 32]}, {\"cell\": \"Age (weak)\", \"bbox\": [29, 34, 72, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [242, 34, 287, 48]}, {\"cell\": \"28.80 ± 2.72\", \"bbox\": [310, 34, 357, 48]}, {\"cell\": \"17.71 ± 0.52\", \"bbox\": [382, 34, 427, 48]}, {\"cell\": \"18.62 ± 0.67\", \"bbox\": [453, 34, 499, 48]}, {\"cell\": \"GBM Thickness, δbm × 10-4 (cm)\", \"bbox\": [29, 49, 148, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [243, 49, 286, 63]}, {\"cell\": \"6.16 ± 0.95\", \"bbox\": [312, 49, 354, 63]}, {\"cell\": \"5.08 ± 1.60\", \"bbox\": [384, 49, 426, 63]}, {\"cell\": \"5.43 ± 1.31\", \"bbox\": [456, 49, 497, 63]}, {\"cell\": \"Albumin Diffusivity, D × 10-7 (cm2·sec-1)\", \"bbox\": [29, 65, 180, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 65, 285, 79]}, {\"cell\": \"5.82 ± 0.11\", \"bbox\": [312, 65, 354, 79]}, {\"cell\": \"5.60 ± 0.17\", \"bbox\": [384, 65, 425, 79]}, {\"cell\": \"5.82 ± 0.02\", \"bbox\": [455, 65, 498, 79]}, {\"cell\": \"Albumin Permeability, Ps × 10-4 (cm·sec-1)\", \"bbox\": [29, 80, 184, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [241, 80, 288, 94]}, {\"cell\": \"9.63 ± 1.52\", \"bbox\": [312, 80, 354, 94]}, {\"cell\": \"11.70 ± 3.23\", \"bbox\": [382, 80, 427, 94]}, {\"cell\": \"11.11 ± 2.45\", \"bbox\": [454, 80, 499, 94]}, {\"cell\": \"Albumin concentration difference, ΔC (g·dL-1)\", \"bbox\": [29, 96, 201, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"50 mmHg\", \"bbox\": [29, 111, 68, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [243, 111, 286, 125]}, {\"cell\": \"4.59 ± 1.15\", \"bbox\": [312, 111, 354, 125]}, {\"cell\": \"6.52 ± 0.87\", \"bbox\": [383, 111, 426, 125]}, {\"cell\": \"5.67 ± 0.17\", \"bbox\": [456, 111, 497, 125]}, {\"cell\": \"100 mmHg\", \"bbox\": [29, 127, 72, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [242, 127, 287, 141]}, {\"cell\": \"5.02 ± 1.51\", \"bbox\": [312, 127, 354, 141]}, {\"cell\": \"6.77 ± 0.42\", \"bbox\": [384, 127, 426, 141]}, {\"cell\": \"5.43 ± 0.26\", \"bbox\": [455, 127, 497, 141]}, {\"cell\": \"200 mmHg\", \"bbox\": [29, 142, 72, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [242, 142, 287, 156]}, {\"cell\": \"5.15 ± 0.96a\", \"bbox\": [311, 142, 355, 156]}, {\"cell\": \"7.26 ± 0.77a,b\", \"bbox\": [381, 142, 429, 156]}, {\"cell\": \"6.52 ± 0.46a,b\", \"bbox\": [452, 142, 501, 156]}, {\"cell\": \"300 mmHg\", \"bbox\": [29, 158, 72, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [243, 158, 286, 172]}, {\"cell\": \"5.51 ± 1.14a,b\", \"bbox\": [309, 158, 357, 172]}, {\"cell\": \"6.82 ± 1.02a\", \"bbox\": [382, 158, 427, 172]}, {\"cell\": \"6.07 ± 0.36a,b\", \"bbox\": [452, 158, 501, 172]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3614589_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
SNP nameChr.Nearest genesaP-values
NameDistance(bp)Full name
ARS-BFGL-NGS-325240b[EMPTY_CELL]NANA4.79E-07
ARS-BFGL-NGS-188580b[EMPTY_CELL]NANA7.00E-07
BFGL-NGS-1146570b[EMPTY_CELL]NANA6.61E-07
ARS-BFGL-NGS-354011[EMPTY_CELL]359533C1D nuclear receptor corepressor6.99E-07
Hapmap39693-BTA-8550611[EMPTY_CELL]51033mediator of cell motility 11.09E-06
ARS-BFGL-NGS-10048014[EMPTY_CELL]withintrafficking protein particle complex 91.24E-10
ARS-BFGL-NGS-493914[EMPTY_CELL]258178Rho GTPase activating protein 399.97E-10
ARS-BFGL-NGS-10737914[EMPTY_CELL]460Rho GTPase activating protein 391.63E-09
ARS-BFGL-NGS-5782014[EMPTY_CELL]50773Rho GTPase activating protein 391.97E-09
ARS-BFGL-NGS-5632714[EMPTY_CELL]withintrafficking protein particle complex 93.29E-08
UA-IFASA-530614[EMPTY_CELL]withintrafficking protein particle complex 93.64E-08
UA-IFASA-928814[EMPTY_CELL]withinPTK2 protein tyrosine kinase 28.29E-08
Hapmap56639-rs29021780X[EMPTY_CELL]withinglutamate receptor, ionotrophic, AMPA 31.34E-07
\", \"cells\": [{\"cell\": \"SNP name\", \"bbox\": [1, 4, 36, 13]}, {\"cell\": \"Chr.\", \"bbox\": [116, 4, 130, 13]}, {\"cell\": \"Nearest genesa\", \"bbox\": [159, 2, 209, 13]}, {\"cell\": \"P-values\", \"bbox\": [456, 4, 484, 13]}, {\"cell\": \"Name\", \"bbox\": [159, 17, 180, 27]}, {\"cell\": \"Distance(bp)\", \"bbox\": [223, 17, 265, 27]}, {\"cell\": \"Full name\", \"bbox\": [293, 17, 327, 27]}, {\"cell\": \"ARS-BFGL-NGS-32524\", \"bbox\": [1, 30, 71, 40]}, {\"cell\": \"0b\", \"bbox\": [116, 29, 125, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [159, 30, 171, 40]}, {\"cell\": \"NA\", \"bbox\": [223, 30, 234, 40]}, {\"cell\": \"NA\", \"bbox\": [293, 30, 305, 40]}, {\"cell\": \"4.79E-07\", \"bbox\": [456, 30, 484, 40]}, {\"cell\": \"ARS-BFGL-NGS-18858\", \"bbox\": [1, 44, 71, 54]}, {\"cell\": \"0b\", \"bbox\": [116, 43, 125, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [159, 44, 171, 54]}, {\"cell\": \"NA\", \"bbox\": [223, 44, 234, 54]}, {\"cell\": \"NA\", \"bbox\": [293, 44, 305, 54]}, {\"cell\": \"7.00E-07\", \"bbox\": [456, 44, 484, 54]}, {\"cell\": \"BFGL-NGS-114657\", \"bbox\": [1, 58, 60, 68]}, {\"cell\": \"0b\", \"bbox\": [116, 57, 125, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [159, 58, 171, 68]}, {\"cell\": \"NA\", \"bbox\": [223, 58, 234, 68]}, {\"cell\": \"NA\", \"bbox\": [293, 58, 305, 68]}, {\"cell\": \"6.61E-07\", \"bbox\": [456, 58, 484, 68]}, {\"cell\": \"ARS-BFGL-NGS-3540\", \"bbox\": [1, 72, 67, 82]}, {\"cell\": \"11\", \"bbox\": [116, 72, 125, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [159, 73, 174, 80]}, {\"cell\": \"359533\", \"bbox\": [223, 72, 248, 82]}, {\"cell\": \"C1D nuclear receptor corepressor\", \"bbox\": [293, 72, 403, 82]}, {\"cell\": \"6.99E-07\", \"bbox\": [456, 72, 484, 82]}, {\"cell\": \"Hapmap39693-BTA-85506\", \"bbox\": [0, 86, 85, 96]}, {\"cell\": \"11\", \"bbox\": [116, 86, 125, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [159, 87, 185, 94]}, {\"cell\": \"51033\", \"bbox\": [223, 86, 244, 96]}, {\"cell\": \"mediator of cell motility 1\", \"bbox\": [293, 86, 379, 96]}, {\"cell\": \"1.09E-06\", \"bbox\": [456, 86, 484, 96]}, {\"cell\": \"ARS-BFGL-NGS-100480\", \"bbox\": [0, 100, 74, 110]}, {\"cell\": \"14\", \"bbox\": [116, 100, 125, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [159, 100, 188, 108]}, {\"cell\": \"within\", \"bbox\": [223, 100, 245, 110]}, {\"cell\": \"trafficking protein particle complex 9\", \"bbox\": [293, 100, 414, 110]}, {\"cell\": \"1.24E-10\", \"bbox\": [456, 100, 484, 110]}, {\"cell\": \"ARS-BFGL-NGS-4939\", \"bbox\": [0, 114, 67, 124]}, {\"cell\": \"14\", \"bbox\": [116, 114, 125, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [159, 114, 194, 122]}, {\"cell\": \"258178\", \"bbox\": [223, 114, 248, 124]}, {\"cell\": \"Rho GTPase activating protein 39\", \"bbox\": [293, 114, 402, 124]}, {\"cell\": \"9.97E-10\", \"bbox\": [456, 114, 484, 124]}, {\"cell\": \"ARS-BFGL-NGS-107379\", \"bbox\": [0, 128, 74, 138]}, {\"cell\": \"14\", \"bbox\": [116, 128, 125, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [159, 128, 194, 136]}, {\"cell\": \"460\", \"bbox\": [223, 128, 236, 138]}, {\"cell\": \"Rho GTPase activating protein 39\", \"bbox\": [293, 128, 402, 138]}, {\"cell\": \"1.63E-09\", \"bbox\": [456, 128, 484, 138]}, {\"cell\": \"ARS-BFGL-NGS-57820\", \"bbox\": [0, 142, 71, 152]}, {\"cell\": \"14\", \"bbox\": [116, 142, 125, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [159, 142, 194, 150]}, {\"cell\": \"50773\", \"bbox\": [223, 142, 244, 152]}, {\"cell\": \"Rho GTPase activating protein 39\", \"bbox\": [293, 142, 402, 152]}, {\"cell\": \"1.97E-09\", \"bbox\": [456, 142, 484, 152]}, {\"cell\": \"ARS-BFGL-NGS-56327\", \"bbox\": [0, 156, 71, 166]}, {\"cell\": \"14\", \"bbox\": [116, 156, 125, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [159, 156, 188, 164]}, {\"cell\": \"within\", \"bbox\": [223, 156, 245, 166]}, {\"cell\": \"trafficking protein particle complex 9\", \"bbox\": [293, 156, 414, 166]}, {\"cell\": \"3.29E-08\", \"bbox\": [456, 156, 484, 166]}, {\"cell\": \"UA-IFASA-5306\", \"bbox\": [0, 170, 50, 180]}, {\"cell\": \"14\", \"bbox\": [116, 170, 125, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [159, 170, 188, 178]}, {\"cell\": \"within\", \"bbox\": [223, 170, 245, 180]}, {\"cell\": \"trafficking protein particle complex 9\", \"bbox\": [293, 170, 414, 180]}, {\"cell\": \"3.64E-08\", \"bbox\": [456, 170, 484, 180]}, {\"cell\": \"UA-IFASA-9288\", \"bbox\": [0, 184, 50, 194]}, {\"cell\": \"14\", \"bbox\": [116, 184, 125, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [159, 184, 176, 192]}, {\"cell\": \"within\", \"bbox\": [223, 184, 245, 194]}, {\"cell\": \"PTK2 protein tyrosine kinase 2\", \"bbox\": [293, 184, 392, 194]}, {\"cell\": \"8.29E-08\", \"bbox\": [456, 184, 484, 194]}, {\"cell\": \"Hapmap56639-rs29021780\", \"bbox\": [0, 198, 87, 208]}, {\"cell\": \"X\", \"bbox\": [116, 198, 122, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [159, 198, 179, 206]}, {\"cell\": \"within\", \"bbox\": [223, 198, 245, 208]}, {\"cell\": \"glutamate receptor, ionotrophic, AMPA 3\", \"bbox\": [293, 198, 427, 208]}, {\"cell\": \"1.34E-07\", \"bbox\": [456, 198, 484, 208]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4570044_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Risk factorsNo. of women followed[EMPTY_CELL][EMPTY_CELL]GAIL-SBSP[EMPTY_CELL][EMPTY_CELL]S-GAIL-SBSP[EMPTY_CELL][EMPTY_CELL]E-GAIL-SBSP[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]OEE/O (CI)PEE/O (CI)PEE/O (CI)P
AGEMEN (y)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
≥1418,652142148.50[EMPTY_CELL]0.890139.320.98 (0.83 to 1.16)0.945165.221.16 (0.99 to 1.37)0.035
12–139,2798983.81[EMPTY_CELL][EMPTY_CELL]90.611.02 (0.83 to 1.25)[EMPTY_CELL]109.591.23 (1.00 to 1.52)[EMPTY_CELL]
<12952109.53[EMPTY_CELL][EMPTY_CELL]11.871.19 (0.64 to 2.21)[EMPTY_CELL]14.661.47 (0.79 to 2.73)[EMPTY_CELL]
NBIOPS[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
027,176218222.80[EMPTY_CELL]0.629226.431.04 (0.91 to 1.19)0.129271.381.24 (1.09 to 1.42)0.003
11,7072319.04[EMPTY_CELL][EMPTY_CELL]15.370.67 (0.44 to 1.01)[EMPTY_CELL]18.090.79 (0.52 to 1.18)[EMPTY_CELL]
NUMREL[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
028,143225229.50[EMPTY_CELL]0.045227.711.01 (0.89 to 1.15)0.109272.981.21 (1.06 to 1.38)0.004
17291411.98[EMPTY_CELL][EMPTY_CELL]13.670.98 (0.58 to 1.65)[EMPTY_CELL]16.011.14 (0.68 to 1.93)[EMPTY_CELL]
≥21120.36[EMPTY_CELL][EMPTY_CELL]0.420.21 (0.05 to 0.83)[EMPTY_CELL]0.480.24 (0.06 to 0.97)[EMPTY_CELL]
AGEFLB (y)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
<204,9522629.89[EMPTY_CELL]0.90031.581.21 (0.83 to 1.78)0.75039.771.53 (1.04 to 2.25)0.038
20–2410,8407780.61[EMPTY_CELL][EMPTY_CELL]81.021.05 (0.84 to 1.32)[EMPTY_CELL]94.411.23 (0.98 to 1.53)[EMPTY_CELL]
25–29 or nulliparous9,8439793.48[EMPTY_CELL][EMPTY_CELL]92.610.95 (0.78 to 1.16)[EMPTY_CELL]112.391.16 (0.95 to 1.41)[EMPTY_CELL]
≥303,2484137.85[EMPTY_CELL][EMPTY_CELL]36.590.89 (0.66 to 1.21)[EMPTY_CELL]42.901.05 (0.77 to 1.42)[EMPTY_CELL]
BMI (kg/m2)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
<23.010,2376889.31[EMPTY_CELL]0.01888.341.30 (1.02 to 1.65)0.02875.941.12 (0.88 to 1.42)0.026
23.0–27.412,225107101.99[EMPTY_CELL][EMPTY_CELL]102.090.95 (0.79 to 1.15)[EMPTY_CELL]124.261.16 (0.96 to 1.40)[EMPTY_CELL]
≥27.56,4116650.45[EMPTY_CELL][EMPTY_CELL]51.290.78 (0.61 to 0.99)[EMPTY_CELL]89.211.35 (1.06 to 1.72)[EMPTY_CELL]
Parity[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
≥320,197147156.72[EMPTY_CELL]0.632157.011.07 (0.91 to 1.26)0.615178.111.21 (1.03 to 1.42)0.041
1–26,4106863.16[EMPTY_CELL][EMPTY_CELL]62.800.92 (0.73 to 1.17)[EMPTY_CELL]78.571.16 (0.91 to 1.47)[EMPTY_CELL]
02,2762621.95[EMPTY_CELL][EMPTY_CELL]21.990.85 (0.58 to 1.24)[EMPTY_CELL]32.781.26 (0.86 to 1.85)[EMPTY_CELL]
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\"0.95 (0.79 to 1.15)\", \"bbox\": [406, 282, 465, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"124.26\", \"bbox\": [514, 282, 537, 292]}, {\"cell\": \"1.16 (0.96 to 1.40)\", \"bbox\": [553, 282, 611, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" ≥27.5\", \"bbox\": [8, 296, 29, 306]}, {\"cell\": \"6,411\", \"bbox\": [157, 296, 175, 306]}, {\"cell\": \"66\", \"bbox\": [195, 296, 204, 306]}, {\"cell\": \"50.45\", \"bbox\": [224, 296, 242, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 296, 318, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"51.29\", \"bbox\": [372, 296, 391, 306]}, {\"cell\": \"0.78 (0.61 to 0.99)\", \"bbox\": [406, 296, 465, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"89.21\", \"bbox\": [518, 296, 537, 306]}, {\"cell\": \"1.35 (1.06 to 1.72)\", \"bbox\": [553, 296, 611, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Parity\", \"bbox\": [1, 310, 20, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" ≥3\", \"bbox\": [8, 324, 20, 334]}, {\"cell\": \"20,197\", \"bbox\": [153, 324, 175, 334]}, {\"cell\": \"147\", \"bbox\": [191, 324, 204, 334]}, {\"cell\": \"156.72\", \"bbox\": [220, 324, 242, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 324, 318, 334]}, {\"cell\": \"0.632\", \"bbox\": [334, 324, 352, 334]}, {\"cell\": \"157.01\", \"bbox\": [368, 324, 391, 334]}, {\"cell\": \"1.07 (0.91 to 1.26)\", \"bbox\": [406, 324, 465, 334]}, {\"cell\": \"0.615\", \"bbox\": [480, 324, 499, 334]}, {\"cell\": \"178.11\", \"bbox\": [514, 324, 537, 334]}, {\"cell\": \"1.21 (1.03 to 1.42)\", \"bbox\": [553, 324, 611, 334]}, {\"cell\": \"0.041\", \"bbox\": [627, 324, 645, 334]}, {\"cell\": \" 1–2\", \"bbox\": [8, 338, 22, 348]}, {\"cell\": \"6,410\", \"bbox\": [157, 338, 175, 348]}, {\"cell\": \"68\", \"bbox\": [195, 338, 204, 348]}, {\"cell\": \"63.16\", \"bbox\": [224, 338, 242, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 338, 318, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"62.80\", \"bbox\": [372, 338, 391, 348]}, {\"cell\": \"0.92 (0.73 to 1.17)\", \"bbox\": [406, 338, 465, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"78.57\", \"bbox\": [518, 338, 537, 348]}, {\"cell\": \"1.16 (0.91 to 1.47)\", \"bbox\": [553, 338, 611, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 0\", \"bbox\": [8, 352, 14, 362]}, {\"cell\": \"2,276\", \"bbox\": [157, 352, 175, 362]}, {\"cell\": \"26\", \"bbox\": [195, 352, 204, 362]}, {\"cell\": \"21.95\", \"bbox\": [224, 352, 242, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 352, 318, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"21.99\", \"bbox\": [372, 352, 391, 362]}, {\"cell\": \"0.85 (0.58 to 1.24)\", \"bbox\": [406, 352, 465, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"32.78\", \"bbox\": [518, 352, 537, 362]}, {\"cell\": \"1.26 (0.86 to 1.85)\", \"bbox\": [553, 352, 611, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3529190_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Standard 2D FLASHCAIPIRINHA 3D FLASHT1w TSE triggeredT2w TIRMT2w HASTE FS
TR, ms[EMPTY_CELL]6.1200082901000
TE, ms[EMPTY_CELL]3.02.584102
Flip angle, °[EMPTY_CELL]1015180160
Scan orientation[EMPTY_CELL]TransverseTransverseCoronalCoronal
In-plane resolution, mm[EMPTY_CELL]1.0 × 1.00.7 × 0.70.8 × 0.81.0 × 1.0
Slice thickness, mm[EMPTY_CELL]3–5444
FOV, mm[EMPTY_CELL]250350350350
iPAT[EMPTY_CELL]Acceleration factor = 4NoneAcceleration factor = 2Acceleration factor = 2
Breath-hold[EMPTY_CELL]15 sRespiratory-triggered20 s21 s
Scan time[EMPTY_CELL]15 s6 min 10 s3 min 5 s42 s
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Standard 2D FLASH\", \"bbox\": [102, 4, 144, 25]}, {\"cell\": \"CAIPIRINHA 3D FLASH\", \"bbox\": [180, 4, 233, 25]}, {\"cell\": \"T1w TSE triggered\", \"bbox\": [273, 4, 308, 25]}, {\"cell\": \"T2w TIRM\", \"bbox\": [353, 9, 395, 20]}, {\"cell\": \"T2w HASTE FS\", \"bbox\": [429, 9, 487, 20]}, {\"cell\": \"TR, ms\", \"bbox\": [2, 28, 30, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [114, 28, 132, 39]}, {\"cell\": \"6.1\", \"bbox\": [201, 28, 212, 39]}, {\"cell\": \"2000\", \"bbox\": [281, 28, 300, 39]}, {\"cell\": \"8290\", \"bbox\": [364, 28, 384, 39]}, {\"cell\": \"1000\", \"bbox\": [449, 28, 467, 39]}, {\"cell\": \"TE, ms\", \"bbox\": [2, 41, 30, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [117, 41, 129, 52]}, {\"cell\": \"3.0\", \"bbox\": [200, 41, 213, 52]}, {\"cell\": \"2.5\", \"bbox\": [284, 41, 297, 52]}, {\"cell\": \"84\", \"bbox\": [369, 41, 379, 52]}, {\"cell\": \"102\", \"bbox\": [451, 41, 464, 52]}, {\"cell\": \"Flip angle, °\", \"bbox\": [2, 51, 46, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [118, 54, 128, 65]}, {\"cell\": \"10\", \"bbox\": [202, 54, 211, 65]}, {\"cell\": \"15\", \"bbox\": [286, 54, 295, 65]}, {\"cell\": \"180\", \"bbox\": [367, 54, 381, 65]}, {\"cell\": \"160\", \"bbox\": [451, 54, 465, 65]}, {\"cell\": \"Scan orientation\", \"bbox\": [2, 68, 63, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [103, 68, 143, 78]}, {\"cell\": \"Transverse\", \"bbox\": [187, 68, 227, 78]}, {\"cell\": \"Transverse\", \"bbox\": [270, 68, 311, 78]}, {\"cell\": \"Coronal\", \"bbox\": [358, 68, 390, 78]}, {\"cell\": \"Coronal\", \"bbox\": [442, 68, 473, 78]}, {\"cell\": \"In-plane resolution, mm\", \"bbox\": [2, 80, 75, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [108, 82, 138, 98]}, {\"cell\": \"1.0 × 1.0\", \"bbox\": [192, 82, 222, 98]}, {\"cell\": \"0.7 × 0.7\", \"bbox\": [274, 82, 307, 98]}, {\"cell\": \"0.8 × 0.8\", \"bbox\": [358, 82, 390, 98]}, {\"cell\": \"1.0 × 1.0\", \"bbox\": [443, 82, 473, 98]}, {\"cell\": \"Slice thickness, mm\", \"bbox\": [2, 104, 75, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [120, 104, 126, 115]}, {\"cell\": \"3–5\", \"bbox\": [199, 104, 214, 115]}, {\"cell\": \"4\", \"bbox\": [287, 104, 294, 115]}, {\"cell\": \"4\", \"bbox\": [371, 104, 377, 115]}, {\"cell\": \"4\", \"bbox\": [455, 104, 461, 115]}, {\"cell\": \"FOV, mm\", \"bbox\": [2, 117, 40, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [116, 117, 130, 128]}, {\"cell\": \"250\", \"bbox\": [199, 117, 214, 128]}, {\"cell\": \"350\", \"bbox\": [283, 117, 298, 128]}, {\"cell\": \"350\", \"bbox\": [367, 117, 381, 128]}, {\"cell\": \"350\", \"bbox\": [450, 117, 465, 128]}, {\"cell\": \"iPAT\", \"bbox\": [2, 135, 22, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [112, 135, 134, 146]}, {\"cell\": \"Acceleration factor = 4\", \"bbox\": [183, 130, 230, 151]}, {\"cell\": \"None\", \"bbox\": [280, 135, 301, 146]}, {\"cell\": \"Acceleration factor = 2\", \"bbox\": [351, 130, 398, 151]}, {\"cell\": \"Acceleration factor = 2\", \"bbox\": [434, 130, 481, 151]}, {\"cell\": \"Breath-hold\", \"bbox\": [2, 153, 48, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [116, 153, 131, 164]}, {\"cell\": \"15 s\", \"bbox\": [200, 153, 214, 164]}, {\"cell\": \"Respiratory-triggered\", \"bbox\": [251, 153, 330, 164]}, {\"cell\": \"20 s\", \"bbox\": [366, 153, 382, 164]}, {\"cell\": \"21 s\", \"bbox\": [451, 153, 465, 164]}, {\"cell\": \"Scan time\", \"bbox\": [2, 167, 40, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 167, 140, 177]}, {\"cell\": \"15 s\", \"bbox\": [200, 167, 214, 177]}, {\"cell\": \"6 min 10 s\", \"bbox\": [272, 167, 309, 177]}, {\"cell\": \"3 min 5 s\", \"bbox\": [358, 167, 391, 177]}, {\"cell\": \"42 s\", \"bbox\": [450, 167, 466, 177]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4405018_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Hemoglobin concentration
Hb(g/dl) ± SDMinimum Hb(g/dl)Maximum Hb(g/dl)P – value
[EMPTY_CELL]11.6 ± 1.55.515.1[EMPTY_CELL]
[EMPTY_CELL]
[EMPTY_CELL]11.5 ± 1.45.514.50.146
[EMPTY_CELL]11.7 ± 1.5715.1[EMPTY_CELL]
[EMPTY_CELL]
[EMPTY_CELL]11.3 ± 1.55.514.20.001**
[EMPTY_CELL]11.8 ± 1.4715.1[EMPTY_CELL]
[EMPTY_CELL]
[EMPTY_CELL]11.6 ± 1.37.715.10.431
[EMPTY_CELL]11.5 ± 1.65.515.1[EMPTY_CELL]
[EMPTY_CELL]
[EMPTY_CELL]11.4 ± 1.75.514.10.103
[EMPTY_CELL]11.7 ± 1.46.215.1[EMPTY_CELL]
[EMPTY_CELL]11.4 ± 1.5714.7[EMPTY_CELL]
[EMPTY_CELL]
[EMPTY_CELL]12.3 ± 1.410.215.10.016**
[EMPTY_CELL]11.6 ± 1.45.515.1[EMPTY_CELL]
[EMPTY_CELL]
[EMPTY_CELL]12.3 ± 1.78.515.10.0332**
[EMPTY_CELL]11.6 ± 1.45.515.1
[EMPTY_CELL]11.4 ± 1.28.613.50.3139
[EMPTY_CELL]11.6 ± 1.55.515.1
[EMPTY_CELL]
[EMPTY_CELL]12.9 ± 1.510.715.10.003**
[EMPTY_CELL]11.2 ± 1.58.513.3
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Hemoglobin concentration\", \"bbox\": [138, 4, 227, 13]}, {\"cell\": \"Hb(g/dl) ± SD\", \"bbox\": [138, 17, 183, 27]}, {\"cell\": \"Minimum Hb(g/dl)\", \"bbox\": [232, 17, 293, 27]}, {\"cell\": \"Maximum Hb(g/dl)\", \"bbox\": [342, 17, 404, 27]}, {\"cell\": \"P – value\", \"bbox\": [453, 17, 484, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 30, 18, 40]}, {\"cell\": \"11.6 ± 1.5\", \"bbox\": [138, 30, 175, 38]}, {\"cell\": \"5.5\", \"bbox\": [232, 30, 244, 38]}, {\"cell\": \"15.1\", \"bbox\": [342, 30, 358, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 44, 25, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 58, 37, 68]}, {\"cell\": \"11.5 ± 1.4\", \"bbox\": [138, 58, 172, 68]}, {\"cell\": \"5.5\", \"bbox\": [232, 58, 243, 68]}, {\"cell\": \"14.5\", \"bbox\": [342, 58, 356, 68]}, {\"cell\": \"0.146\", \"bbox\": [453, 58, 472, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 72, 40, 82]}, {\"cell\": \"11.7 ± 1.5\", \"bbox\": [138, 72, 172, 82]}, {\"cell\": \"7\", \"bbox\": [232, 72, 237, 82]}, {\"cell\": \"15.1\", \"bbox\": [342, 72, 356, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 86, 15, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 100, 26, 110]}, {\"cell\": \"11.3 ± 1.5\", \"bbox\": [138, 100, 172, 110]}, {\"cell\": \"5.5\", \"bbox\": [232, 100, 243, 110]}, {\"cell\": \"14.2\", \"bbox\": [342, 100, 356, 110]}, {\"cell\": \"0.001**\", \"bbox\": [453, 100, 480, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 114, 30, 124]}, {\"cell\": \"11.8 ± 1.4\", \"bbox\": [138, 114, 172, 124]}, {\"cell\": \"7\", \"bbox\": [232, 114, 237, 124]}, {\"cell\": \"15.1\", \"bbox\": [342, 114, 356, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 128, 13, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 142, 26, 152]}, {\"cell\": \"11.6 ± 1.3\", \"bbox\": [138, 142, 172, 152]}, {\"cell\": \"7.7\", \"bbox\": [232, 142, 243, 152]}, {\"cell\": \"15.1\", \"bbox\": [342, 142, 356, 152]}, {\"cell\": \"0.431\", \"bbox\": [453, 142, 472, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 156, 34, 166]}, {\"cell\": \"11.5 ± 1.6\", \"bbox\": [138, 156, 172, 166]}, {\"cell\": \"5.5\", \"bbox\": [232, 156, 243, 166]}, {\"cell\": \"15.1\", \"bbox\": [342, 156, 356, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 170, 72, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 184, 24, 194]}, {\"cell\": \"11.4 ± 1.7\", \"bbox\": [138, 184, 172, 194]}, {\"cell\": \"5.5\", \"bbox\": [232, 184, 243, 194]}, {\"cell\": \"14.1\", \"bbox\": [342, 184, 356, 194]}, {\"cell\": \"0.103\", \"bbox\": [453, 184, 472, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 198, 41, 208]}, {\"cell\": \"11.7 ± 1.4\", \"bbox\": [138, 198, 172, 208]}, {\"cell\": \"6.2\", \"bbox\": [232, 198, 243, 208]}, {\"cell\": \"15.1\", \"bbox\": [342, 198, 356, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 212, 26, 222]}, {\"cell\": \"11.4 ± 1.5\", \"bbox\": [138, 212, 172, 222]}, {\"cell\": \"7\", \"bbox\": [232, 212, 237, 222]}, {\"cell\": \"14.7\", \"bbox\": [342, 212, 356, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 226, 36, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 240, 34, 250]}, {\"cell\": \"12.3 ± 1.4\", \"bbox\": [138, 240, 172, 250]}, {\"cell\": \"10.2\", \"bbox\": [232, 240, 246, 250]}, {\"cell\": \"15.1\", \"bbox\": [342, 240, 356, 250]}, {\"cell\": \"0.016**\", \"bbox\": [453, 240, 480, 248]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 254, 33, 264]}, {\"cell\": \"11.6 ± 1.4\", \"bbox\": [138, 254, 172, 264]}, {\"cell\": \"5.5\", \"bbox\": [232, 254, 243, 264]}, {\"cell\": \"15.1\", \"bbox\": [342, 254, 356, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 268, 51, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 282, 86, 292]}, {\"cell\": \"12.3 ± 1.7\", \"bbox\": [138, 282, 172, 292]}, {\"cell\": \"8.5\", \"bbox\": [232, 282, 243, 292]}, {\"cell\": \"15.1\", \"bbox\": [342, 282, 356, 292]}, {\"cell\": \"0.0332**\", \"bbox\": [453, 282, 484, 290]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 296, 90, 306]}, {\"cell\": \"11.6 ± 1.4\", \"bbox\": [138, 296, 172, 306]}, {\"cell\": \"5.5\", \"bbox\": [232, 296, 243, 306]}, {\"cell\": \"15.1\", \"bbox\": [342, 296, 356, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 310, 60, 320]}, {\"cell\": \"11.4 ± 1.2\", \"bbox\": [138, 310, 172, 320]}, {\"cell\": \"8.6\", \"bbox\": [232, 310, 243, 320]}, {\"cell\": \"13.5\", \"bbox\": [342, 310, 356, 320]}, {\"cell\": \"0.3139\", \"bbox\": [453, 310, 475, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 324, 64, 334]}, {\"cell\": \"11.6 ± 1.5\", \"bbox\": [138, 324, 172, 334]}, {\"cell\": \"5.5\", \"bbox\": [232, 324, 243, 334]}, {\"cell\": \"15.1\", \"bbox\": [342, 324, 356, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 338, 123, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 352, 55, 362]}, {\"cell\": \"12.9 ± 1.5\", \"bbox\": [138, 352, 172, 362]}, {\"cell\": \"10.7\", \"bbox\": [232, 352, 246, 362]}, {\"cell\": \"15.1\", \"bbox\": [342, 352, 356, 362]}, {\"cell\": \"0.003**\", \"bbox\": [453, 352, 480, 360]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 366, 59, 376]}, {\"cell\": \"11.2 ± 1.5\", \"bbox\": [138, 366, 172, 376]}, {\"cell\": \"8.5\", \"bbox\": [232, 366, 243, 376]}, {\"cell\": \"13.3\", \"bbox\": [342, 366, 356, 376]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5907294_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Ulcerative colitisCrohn's disease
[EMPTY_CELL]Lactulose (n= 7)Control (n= 7)Lactulose (n= 9)Control (n= 8)
Immunoglobulin G (g/l)*[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Before[EMPTY_CELL]14.0 ± 2.012.9 ± 4.611.8 ± 3.4
After[EMPTY_CELL]13.3 ± 2.011.8 ± 4.511.6 ± 4.1
Immunoglobulin A (g/l)*[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Before[EMPTY_CELL]2.8 ± 0.44.6 ± 3.43.6 ± 1.1
After[EMPTY_CELL]2.3 ± 0.34.3 ± 3.43.6 ± 1.3
Immunoglobulin M (g/l)*[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Before[EMPTY_CELL]2.4 ± 0.81.9 ± 1.71.7 ± 0.5
After[EMPTY_CELL]2.3 ± 0.71.9 ± 1.71.8 ± 1.0
Blood activity factor*,†[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Before[EMPTY_CELL]2.9 ± 2.4-7.0 ± 3.1-4.7 ± 3.1
After[EMPTY_CELL]5.7 ± 1.21.3 ± 2.6‡1.3 ± 2.0‡
Fecal α1-antitrypsine*[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Before[EMPTY_CELL]56.8 ± 14.479.8 ± 9.966.5 ± 9.7
After[EMPTY_CELL]50.0 ± 12,755.3 ± 14.135.2 ± 11.4‡
Fecal pH*[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Before[EMPTY_CELL]6.8 ± 0.16.8 ± 0.26.7 ± 0.7
After[EMPTY_CELL]6.8 ± 0.16.6 ± 0.46.6 ± 0.7
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ulcerative colitis\", \"bbox\": [226, 4, 284, 14]}, {\"cell\": \"Crohn's disease\", \"bbox\": [391, 4, 445, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Lactulose (n= 7)\", \"bbox\": [187, 27, 243, 36]}, {\"cell\": \"Control (n= 7)\", \"bbox\": [269, 27, 321, 36]}, {\"cell\": \"Lactulose (n= 9)\", \"bbox\": [347, 27, 403, 36]}, {\"cell\": \"Control (n= 8)\", \"bbox\": [432, 27, 484, 36]}, {\"cell\": \"Immunoglobulin G (g/l)*\", \"bbox\": [4, 49, 87, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Before\", \"bbox\": [14, 59, 39, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [197, 59, 233, 69]}, {\"cell\": \"14.0 ± 2.0\", \"bbox\": [277, 59, 313, 69]}, {\"cell\": \"12.9 ± 4.6\", \"bbox\": [357, 59, 393, 69]}, {\"cell\": \"11.8 ± 3.4\", \"bbox\": [440, 59, 476, 69]}, {\"cell\": \" After\", \"bbox\": [14, 69, 34, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [197, 69, 233, 79]}, {\"cell\": \"13.3 ± 2.0\", \"bbox\": [277, 69, 313, 79]}, {\"cell\": \"11.8 ± 4.5\", \"bbox\": [357, 69, 393, 79]}, {\"cell\": \"11.6 ± 4.1\", \"bbox\": [440, 69, 476, 79]}, {\"cell\": \"Immunoglobulin A (g/l)*\", \"bbox\": [4, 79, 86, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Before\", \"bbox\": [14, 90, 39, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 90, 231, 100]}, {\"cell\": \"2.8 ± 0.4\", \"bbox\": [279, 90, 311, 100]}, {\"cell\": \"4.6 ± 3.4\", \"bbox\": [359, 90, 391, 100]}, {\"cell\": \"3.6 ± 1.1\", \"bbox\": [442, 90, 474, 100]}, {\"cell\": \" After\", \"bbox\": [14, 100, 34, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 100, 231, 110]}, {\"cell\": \"2.3 ± 0.3\", \"bbox\": [279, 100, 311, 110]}, {\"cell\": \"4.3 ± 3.4\", \"bbox\": [359, 100, 391, 110]}, {\"cell\": \"3.6 ± 1.3\", \"bbox\": [442, 100, 474, 110]}, {\"cell\": \"Immunoglobulin M (g/l)*\", \"bbox\": [4, 110, 87, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Before\", \"bbox\": [14, 121, 39, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 121, 231, 130]}, {\"cell\": \"2.4 ± 0.8\", \"bbox\": [279, 121, 311, 130]}, {\"cell\": \"1.9 ± 1.7\", \"bbox\": [359, 121, 391, 130]}, {\"cell\": \"1.7 ± 0.5\", \"bbox\": [442, 121, 474, 130]}, {\"cell\": \" After\", \"bbox\": [14, 131, 34, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 131, 231, 141]}, {\"cell\": \"2.3 ± 0.7\", \"bbox\": [279, 131, 311, 141]}, {\"cell\": \"1.9 ± 1.7\", \"bbox\": [359, 131, 391, 141]}, {\"cell\": \"1.8 ± 1.0\", \"bbox\": [442, 131, 474, 141]}, {\"cell\": \"Blood activity factor*,†\", \"bbox\": [4, 141, 81, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Before\", \"bbox\": [14, 151, 39, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 151, 232, 161]}, {\"cell\": \"2.9 ± 2.4\", \"bbox\": [280, 151, 311, 161]}, {\"cell\": \"-7.0 ± 3.1\", \"bbox\": [358, 151, 392, 161]}, {\"cell\": \"-4.7 ± 3.1\", \"bbox\": [441, 151, 475, 161]}, {\"cell\": \" After\", \"bbox\": [14, 162, 34, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 162, 231, 171]}, {\"cell\": \"5.7 ± 1.2\", \"bbox\": [279, 162, 311, 171]}, {\"cell\": \"1.3 ± 2.6‡\", \"bbox\": [358, 161, 392, 171]}, {\"cell\": \"1.3 ± 2.0‡\", \"bbox\": [441, 161, 475, 171]}, {\"cell\": \"Fecal α1-antitrypsine*\", \"bbox\": [4, 161, 80, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Before\", \"bbox\": [14, 182, 39, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [195, 182, 235, 192]}, {\"cell\": \"56.8 ± 14.4\", \"bbox\": [275, 182, 315, 192]}, {\"cell\": \"79.8 ± 9.9\", \"bbox\": [357, 182, 393, 192]}, {\"cell\": \"66.5 ± 9.7\", \"bbox\": [440, 182, 476, 192]}, {\"cell\": \" After\", \"bbox\": [14, 192, 34, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [197, 192, 233, 202]}, {\"cell\": \"50.0 ± 12,7\", \"bbox\": [275, 192, 315, 202]}, {\"cell\": \"55.3 ± 14.1\", \"bbox\": [355, 192, 395, 202]}, {\"cell\": \"35.2 ± 11.4‡\", \"bbox\": [437, 192, 479, 202]}, {\"cell\": \"Fecal pH*\", \"bbox\": [4, 202, 39, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Before\", \"bbox\": [14, 213, 39, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 213, 231, 223]}, {\"cell\": \"6.8 ± 0.1\", \"bbox\": [279, 213, 311, 223]}, {\"cell\": \"6.8 ± 0.2\", \"bbox\": [359, 213, 391, 223]}, {\"cell\": \"6.7 ± 0.7\", \"bbox\": [442, 213, 474, 223]}, {\"cell\": \" After\", \"bbox\": [14, 223, 34, 233]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 223, 231, 233]}, {\"cell\": \"6.8 ± 0.1\", \"bbox\": [279, 223, 311, 233]}, {\"cell\": \"6.6 ± 0.4\", \"bbox\": [359, 223, 391, 233]}, {\"cell\": \"6.6 ± 0.7\", \"bbox\": [442, 223, 474, 233]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC1995200_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]AspirinAntihypertensivesStatinAny Rx
PracticeEligibleOn treatment (% of eligible)EligibleOn treatment (% of eligible)EligibleOn treatment (% of eligible)EligibleOn treatment (% of eligible)
PN140[EMPTY_CELL]2213 (59.1%)4323 (53.5%)4433 (75.0%)
PN265[EMPTY_CELL]2919 (65.5%)6959 (85.5%)7062 (88.6%)
PN370[EMPTY_CELL]5227 (51.9%)7656 (73.7%)7665 (85.5%)
PN498[EMPTY_CELL]6737 (55.2%)10562 (59.0%)10783 (77.6%)
All project nurse practices273[EMPTY_CELL]17096 (56.5%)293200 (68.3%)297243 (81.8%)
Info151[EMPTY_CELL]369 (25.0%)5731 (54.4%)5735 (61.4%)
Info238[EMPTY_CELL]224 (18.2%)4323 (53.5%)4324 (55.8%)
All information only practices89[EMPTY_CELL]5813 (22.4%)10054 (54.0%)10059 (59.0%)
All practices362[EMPTY_CELL]228109 (47.8%)393254 (64.6%)397302 (7 6.1%)
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Aspirin\", \"bbox\": [118, 4, 144, 14]}, {\"cell\": \"Antihypertensives\", \"bbox\": [206, 4, 267, 14]}, {\"cell\": \"Statin\", \"bbox\": [332, 4, 352, 14]}, {\"cell\": \"Any Rx\", \"bbox\": [434, 4, 461, 14]}, {\"cell\": \"Practice\", \"bbox\": [26, 15, 54, 24]}, {\"cell\": \"Eligible\", \"bbox\": [81, 15, 106, 24]}, {\"cell\": \"On treatment (% of eligible)\", \"bbox\": [122, 15, 171, 34]}, {\"cell\": \"Eligible\", \"bbox\": [187, 15, 212, 24]}, {\"cell\": \"On treatment (% of eligible)\", \"bbox\": [228, 15, 276, 34]}, {\"cell\": \"Eligible\", \"bbox\": [292, 15, 317, 24]}, {\"cell\": \"On treatment (% of eligible)\", \"bbox\": [333, 15, 382, 34]}, {\"cell\": \"Eligible\", \"bbox\": [398, 15, 423, 24]}, {\"cell\": \"On treatment (% of eligible)\", \"bbox\": [439, 15, 487, 34]}, {\"cell\": \"PN1\", \"bbox\": [31, 46, 48, 56]}, {\"cell\": \"40\", \"bbox\": [89, 46, 99, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [128, 46, 165, 56]}, {\"cell\": \"22\", \"bbox\": [194, 46, 204, 56]}, {\"cell\": \"13 (59.1%)\", \"bbox\": [233, 46, 271, 56]}, {\"cell\": \"43\", \"bbox\": [300, 46, 310, 56]}, {\"cell\": \"23 (53.5%)\", \"bbox\": [339, 46, 376, 56]}, {\"cell\": \"44\", \"bbox\": [405, 46, 415, 56]}, {\"cell\": \"33 (75.0%)\", \"bbox\": [444, 46, 482, 56]}, {\"cell\": \"PN2\", \"bbox\": [31, 56, 48, 66]}, {\"cell\": \"65\", \"bbox\": [89, 56, 99, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [128, 56, 165, 66]}, {\"cell\": \"29\", \"bbox\": [194, 56, 204, 66]}, {\"cell\": \"19 (65.5%)\", \"bbox\": [233, 56, 271, 66]}, {\"cell\": \"69\", \"bbox\": [300, 56, 310, 66]}, {\"cell\": \"59 (85.5%)\", \"bbox\": [339, 56, 376, 66]}, {\"cell\": \"70\", \"bbox\": [405, 56, 415, 66]}, {\"cell\": \"62 (88.6%)\", \"bbox\": [444, 56, 482, 66]}, {\"cell\": \"PN3\", \"bbox\": [31, 67, 48, 76]}, {\"cell\": \"70\", \"bbox\": [89, 67, 99, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [128, 67, 165, 76]}, {\"cell\": \"52\", \"bbox\": [194, 67, 204, 76]}, {\"cell\": \"27 (51.9%)\", \"bbox\": [233, 67, 271, 76]}, {\"cell\": \"76\", \"bbox\": [300, 67, 310, 76]}, {\"cell\": \"56 (73.7%)\", \"bbox\": [339, 67, 376, 76]}, {\"cell\": \"76\", \"bbox\": [405, 67, 415, 76]}, {\"cell\": \"65 (85.5%)\", \"bbox\": [444, 67, 482, 76]}, {\"cell\": \"PN4\", \"bbox\": [31, 77, 48, 87]}, {\"cell\": \"98\", \"bbox\": [89, 77, 99, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [128, 77, 165, 87]}, {\"cell\": \"67\", \"bbox\": [194, 77, 204, 87]}, {\"cell\": \"37 (55.2%)\", \"bbox\": [233, 77, 271, 87]}, {\"cell\": \"105\", \"bbox\": [298, 77, 312, 87]}, {\"cell\": \"62 (59.0%)\", \"bbox\": [339, 77, 376, 87]}, {\"cell\": \"107\", \"bbox\": [403, 77, 418, 87]}, {\"cell\": \"83 (77.6%)\", \"bbox\": [444, 77, 482, 87]}, {\"cell\": \"All project nurse practices\", \"bbox\": [11, 87, 69, 106]}, {\"cell\": \"273\", \"bbox\": [87, 87, 101, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [128, 87, 165, 97]}, {\"cell\": \"170\", \"bbox\": [192, 87, 206, 97]}, {\"cell\": \"96 (56.5%)\", \"bbox\": [233, 87, 271, 97]}, {\"cell\": \"293\", \"bbox\": [298, 87, 312, 97]}, {\"cell\": \"200 (68.3%)\", \"bbox\": [337, 87, 378, 97]}, {\"cell\": \"297\", \"bbox\": [403, 87, 418, 97]}, {\"cell\": \"243 (81.8%)\", \"bbox\": [442, 87, 484, 97]}, {\"cell\": \"Info1\", \"bbox\": [30, 119, 49, 128]}, {\"cell\": \"51\", \"bbox\": [89, 119, 99, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 119, 161, 128]}, {\"cell\": \"36\", \"bbox\": [194, 119, 204, 128]}, {\"cell\": \"9 (25.0%)\", \"bbox\": [235, 119, 269, 128]}, {\"cell\": \"57\", \"bbox\": [300, 119, 310, 128]}, {\"cell\": \"31 (54.4%)\", \"bbox\": [339, 119, 376, 128]}, {\"cell\": \"57\", \"bbox\": [405, 119, 415, 128]}, {\"cell\": \"35 (61.4%)\", \"bbox\": [444, 119, 482, 128]}, {\"cell\": \"Info2\", \"bbox\": [30, 129, 49, 139]}, {\"cell\": \"38\", \"bbox\": [89, 129, 99, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [130, 129, 163, 139]}, {\"cell\": \"22\", \"bbox\": [194, 129, 204, 139]}, {\"cell\": \"4 (18.2%)\", \"bbox\": [235, 129, 269, 139]}, {\"cell\": \"43\", \"bbox\": [300, 129, 310, 139]}, {\"cell\": \"23 (53.5%)\", \"bbox\": [339, 129, 376, 139]}, {\"cell\": \"43\", \"bbox\": [405, 129, 415, 139]}, {\"cell\": \"24 (55.8%)\", \"bbox\": [444, 129, 482, 139]}, {\"cell\": \"All information only practices\", \"bbox\": [6, 139, 73, 158]}, {\"cell\": \"89\", \"bbox\": [89, 139, 99, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [130, 139, 163, 149]}, {\"cell\": \"58\", \"bbox\": [194, 139, 204, 149]}, {\"cell\": \"13 (22.4%)\", \"bbox\": [233, 139, 271, 149]}, {\"cell\": \"100\", \"bbox\": [298, 139, 312, 149]}, {\"cell\": \"54 (54.0%)\", \"bbox\": [339, 139, 376, 149]}, {\"cell\": \"100\", \"bbox\": [403, 139, 418, 149]}, {\"cell\": \"59 (59.0%)\", \"bbox\": [444, 139, 482, 149]}, {\"cell\": \"All practices\", \"bbox\": [18, 171, 61, 180]}, {\"cell\": \"362\", \"bbox\": [87, 171, 101, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [128, 171, 165, 180]}, {\"cell\": \"228\", \"bbox\": [192, 171, 206, 180]}, {\"cell\": \"109 (47.8%)\", \"bbox\": [231, 171, 273, 180]}, {\"cell\": \"393\", \"bbox\": [298, 171, 312, 180]}, {\"cell\": \"254 (64.6%)\", \"bbox\": [337, 171, 378, 180]}, {\"cell\": \"397\", \"bbox\": [403, 171, 418, 180]}, {\"cell\": \"302 (7 6.1%)\", \"bbox\": [441, 171, 485, 180]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2278139_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
RatioCases analysed out of 93Cases >95thpercentileCases of suspected steroid disorder with ratio >95thpercentile (% of those with ratio >95thpercentile)SensitivitySpecificityPositive predictive valueNegative predictive value
17HP/(THE + THF + 5αTHF)93 (100%)184 (22%)100%84%[EMPTY_CELL]100%
PT/(THE + THF + 5αTHF)92 (99%)164 (25%)100%86%[EMPTY_CELL]100%
PTONE/(THE + THF + 5αTHF)61 (65%)115 (45%)100%89%[EMPTY_CELL]100%
THS/(THE + THF + 5αTHF)92 (99%)234(17%)100%78%[EMPTY_CELL]100%
DHEA/(THE + THF + 5αTHF)90 (96%)122 (17%)100%90%[EMPTY_CELL]100%
(17HP + PT)/(An + Et)85 (90%)62 (33%)100%95%[EMPTY_CELL]100%
(THF + 5αTHF)/THE93 (100%)71 (14%)100%93%[EMPTY_CELL]100%
THE/(THF + 5αTHF)93 (100%)91 (11%)100%91%[EMPTY_CELL]100%
(An + Et)/(THE + THF + 5αTHF)89 (95%)61 (17%)100%94%[EMPTY_CELL]100%
Et/An84 (89%)62 (33%)100%95%[EMPTY_CELL]100%
THF/5αTHF93 (100%)102 (20%)100%91%[EMPTY_CELL]100%
THB/5αTHB86 (91%)61 (17%)100%94%[EMPTY_CELL]100%
\", \"cells\": [{\"cell\": \"Ratio\", \"bbox\": [1, 4, 20, 13]}, {\"cell\": \"Cases analysed out of 93\", \"bbox\": [104, 4, 158, 22]}, {\"cell\": \"Cases >95thpercentile\", \"bbox\": [165, 2, 207, 22]}, {\"cell\": \"Cases of suspected steroid disorder with ratio >95thpercentile (% of those with ratio >95thpercentile)\", \"bbox\": [214, 4, 310, 40]}, {\"cell\": \"Sensitivity\", \"bbox\": [317, 4, 354, 13]}, {\"cell\": \"Specificity\", \"bbox\": [361, 4, 398, 13]}, {\"cell\": \"Positive predictive value\", \"bbox\": [405, 4, 441, 31]}, {\"cell\": \"Negative predictive value\", \"bbox\": [448, 4, 484, 31]}, {\"cell\": \"17HP/(THE + THF + 5αTHF)\", \"bbox\": [1, 44, 87, 53]}, {\"cell\": \"93 (100%)\", \"bbox\": [104, 44, 137, 53]}, {\"cell\": \"18\", \"bbox\": [165, 44, 174, 53]}, {\"cell\": \"4 (22%)\", \"bbox\": [214, 44, 240, 53]}, {\"cell\": \"100%\", \"bbox\": [317, 44, 336, 53]}, {\"cell\": \"84%\", \"bbox\": [361, 44, 376, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [405, 44, 420, 53]}, {\"cell\": \"100%\", \"bbox\": [448, 44, 467, 53]}, {\"cell\": \"PT/(THE + THF + 5αTHF)\", \"bbox\": [1, 58, 78, 67]}, {\"cell\": \"92 (99%)\", \"bbox\": [104, 58, 134, 67]}, {\"cell\": \"16\", \"bbox\": [165, 58, 174, 67]}, {\"cell\": \"4 (25%)\", \"bbox\": [214, 58, 240, 67]}, {\"cell\": \"100%\", \"bbox\": [317, 58, 336, 67]}, {\"cell\": \"86%\", \"bbox\": [361, 58, 376, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [405, 58, 420, 67]}, {\"cell\": \"100%\", \"bbox\": [448, 58, 467, 67]}, {\"cell\": \"PTONE/(THE + THF + 5αTHF)\", \"bbox\": [1, 72, 92, 81]}, {\"cell\": \"61 (65%)\", \"bbox\": [104, 72, 134, 81]}, {\"cell\": \"11\", \"bbox\": [165, 72, 174, 81]}, {\"cell\": \"5 (45%)\", \"bbox\": [214, 72, 240, 81]}, {\"cell\": \"100%\", \"bbox\": [317, 72, 336, 81]}, {\"cell\": \"89%\", \"bbox\": [361, 72, 376, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [405, 72, 420, 81]}, {\"cell\": \"100%\", \"bbox\": [448, 72, 467, 81]}, {\"cell\": \"THS/(THE + THF + 5αTHF)\", \"bbox\": [1, 86, 82, 95]}, {\"cell\": \"92 (99%)\", \"bbox\": [104, 86, 134, 95]}, {\"cell\": \"23\", \"bbox\": [165, 86, 174, 95]}, {\"cell\": \"4(17%)\", \"bbox\": [214, 86, 237, 95]}, {\"cell\": \"100%\", \"bbox\": [317, 86, 336, 95]}, {\"cell\": \"78%\", \"bbox\": [361, 86, 376, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [405, 86, 420, 95]}, {\"cell\": \"100%\", \"bbox\": [448, 86, 467, 95]}, {\"cell\": \"DHEA/(THE + THF + 5αTHF)\", \"bbox\": [1, 100, 89, 109]}, {\"cell\": \"90 (96%)\", \"bbox\": [104, 100, 134, 109]}, {\"cell\": \"12\", \"bbox\": [165, 100, 174, 109]}, {\"cell\": \"2 (17%)\", \"bbox\": [214, 100, 240, 109]}, {\"cell\": \"100%\", \"bbox\": [317, 100, 336, 109]}, {\"cell\": \"90%\", \"bbox\": [361, 100, 376, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [405, 100, 420, 109]}, {\"cell\": \"100%\", \"bbox\": [448, 100, 467, 109]}, {\"cell\": \"(17HP + PT)/(An + Et)\", \"bbox\": [1, 114, 69, 123]}, {\"cell\": \"85 (90%)\", \"bbox\": [104, 114, 134, 123]}, {\"cell\": \"6\", \"bbox\": [165, 114, 171, 123]}, {\"cell\": \"2 (33%)\", \"bbox\": [214, 114, 240, 123]}, {\"cell\": \"100%\", \"bbox\": [317, 114, 336, 123]}, {\"cell\": \"95%\", \"bbox\": [361, 114, 376, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [405, 114, 420, 123]}, {\"cell\": \"100%\", \"bbox\": [448, 114, 467, 123]}, {\"cell\": \"(THF + 5αTHF)/THE\", \"bbox\": [1, 128, 62, 137]}, {\"cell\": \"93 (100%)\", \"bbox\": [104, 128, 137, 137]}, {\"cell\": \"7\", \"bbox\": [165, 128, 171, 137]}, {\"cell\": \"1 (14%)\", \"bbox\": [214, 128, 240, 137]}, {\"cell\": \"100%\", \"bbox\": [317, 128, 336, 137]}, {\"cell\": \"93%\", \"bbox\": [361, 128, 376, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [405, 128, 420, 137]}, {\"cell\": \"100%\", \"bbox\": [448, 128, 467, 137]}, {\"cell\": \"THE/(THF + 5αTHF)\", \"bbox\": [1, 142, 62, 151]}, {\"cell\": \"93 (100%)\", \"bbox\": [104, 142, 137, 151]}, {\"cell\": \"9\", \"bbox\": [165, 142, 171, 151]}, {\"cell\": \"1 (11%)\", \"bbox\": [214, 142, 240, 151]}, {\"cell\": \"100%\", \"bbox\": [317, 142, 336, 151]}, {\"cell\": \"91%\", \"bbox\": [361, 142, 376, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [405, 142, 420, 151]}, {\"cell\": \"100%\", \"bbox\": [448, 142, 467, 151]}, {\"cell\": \"(An + Et)/(THE + THF + 5αTHF)\", \"bbox\": [1, 156, 97, 165]}, {\"cell\": \"89 (95%)\", \"bbox\": [104, 156, 134, 165]}, {\"cell\": \"6\", \"bbox\": [165, 156, 171, 165]}, {\"cell\": \"1 (17%)\", \"bbox\": [214, 156, 240, 165]}, {\"cell\": \"100%\", \"bbox\": [317, 156, 336, 165]}, {\"cell\": \"94%\", \"bbox\": [361, 156, 376, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [405, 156, 420, 165]}, {\"cell\": \"100%\", \"bbox\": [448, 156, 467, 165]}, {\"cell\": \"Et/An\", \"bbox\": [1, 170, 20, 179]}, {\"cell\": \"84 (89%)\", \"bbox\": [104, 170, 134, 179]}, {\"cell\": \"6\", \"bbox\": [165, 170, 171, 179]}, {\"cell\": \"2 (33%)\", \"bbox\": [214, 170, 240, 179]}, {\"cell\": \"100%\", \"bbox\": [317, 170, 336, 179]}, {\"cell\": \"95%\", \"bbox\": [361, 170, 376, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [405, 170, 420, 179]}, {\"cell\": \"100%\", \"bbox\": [448, 170, 467, 179]}, {\"cell\": \"THF/5αTHF\", \"bbox\": [1, 184, 38, 193]}, {\"cell\": \"93 (100%)\", \"bbox\": [104, 184, 137, 193]}, {\"cell\": \"10\", \"bbox\": [165, 184, 174, 193]}, {\"cell\": \"2 (20%)\", \"bbox\": [214, 184, 240, 193]}, {\"cell\": \"100%\", \"bbox\": [317, 184, 336, 193]}, {\"cell\": \"91%\", \"bbox\": [361, 184, 376, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [405, 184, 420, 193]}, {\"cell\": \"100%\", \"bbox\": [448, 184, 467, 193]}, {\"cell\": \"THB/5αTHB\", \"bbox\": [1, 198, 39, 207]}, {\"cell\": \"86 (91%)\", \"bbox\": [104, 198, 134, 207]}, {\"cell\": \"6\", \"bbox\": [165, 198, 171, 207]}, {\"cell\": \"1 (17%)\", \"bbox\": [214, 198, 240, 207]}, {\"cell\": \"100%\", \"bbox\": [317, 198, 336, 207]}, {\"cell\": \"94%\", \"bbox\": [361, 198, 376, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [405, 198, 420, 207]}, {\"cell\": \"100%\", \"bbox\": [448, 198, 467, 207]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4397675_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Endometrial Cancer (N = 42)Cervical Cancer (N = 13)Ovarian Cancer (N = 14)Group I (N = 20)Group II (N = 23)
CD11a vs. CD54 (r = 0.444920; p = 0.0032)(−)[EMPTY_CELL](−)(−)
CD11b vs. CD64 (r = 0.390416; p = 0.0106)CD11b vs. CD64 (r = 0.556329; p = 0.0484)[EMPTY_CELL](−)CD11b vs. CD64 (r = 0.534304; p = 0.0087)
(−)CD11b vs. CD62 L (r = 0.789189; p = 0.0014)[EMPTY_CELL](−)(−)
(−)CD11c vs. CD64 (r = − 0.645134; p = 0.0173)[EMPTY_CELL](−)(−)
(−)CD11c vs. HLA-DR (r = 0.672398; p = 0.0119)[EMPTY_CELL]CD11c vs. HLA-DR (r = 0.445866; p = 0.0488)(−)
(−)(−)[EMPTY_CELL](−)(−)
(−)(−)[EMPTY_CELL](−)CD16 vs. HLA-DR (r = − 0.506677; p = 0.0137)
CD54 vs. CD62 L (r = 0.518139; p = 0.0005)CD54 vs. CD62 L (r = 0.570250; p = 0.0419)[EMPTY_CELL](−)CD54 vs. CD62 L (r = 0.426489; p = 0.0425)
(−)(−)[EMPTY_CELL]CD54 vs. HLA-DR (r = −0.476692; p = 0.0336)(−)
\", \"cells\": [{\"cell\": \"Endometrial Cancer (N = 42)\", \"bbox\": [1, 4, 70, 22]}, {\"cell\": \"Cervical Cancer (N = 13)\", \"bbox\": [115, 4, 170, 22]}, {\"cell\": \"Ovarian Cancer (N = 14)\", \"bbox\": [220, 4, 275, 22]}, {\"cell\": \"Group I (N = 20)\", \"bbox\": [320, 4, 377, 13]}, {\"cell\": \"Group II (N = 23)\", \"bbox\": [425, 4, 484, 13]}, {\"cell\": \"CD11a vs. CD54 (r = 0.444920; p = 0.0032)\", \"bbox\": [1, 26, 53, 53]}, {\"cell\": \"(−)\", \"bbox\": [115, 26, 126, 35]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 26, 273, 53]}, {\"cell\": \"(−)\", \"bbox\": [320, 26, 331, 35]}, {\"cell\": \"(−)\", \"bbox\": [425, 26, 436, 35]}, {\"cell\": \"CD11b vs. CD64 (r = 0.390416; p = 0.0106)\", \"bbox\": [0, 58, 54, 85]}, {\"cell\": \"CD11b vs. CD64 (r = 0.556329; p = 0.0484)\", \"bbox\": [115, 58, 169, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 58, 231, 67]}, {\"cell\": \"(−)\", \"bbox\": [320, 58, 331, 67]}, {\"cell\": \"CD11b vs. CD64 (r = 0.534304; p = 0.0087)\", \"bbox\": [425, 58, 479, 85]}, {\"cell\": \"(−)\", \"bbox\": [1, 90, 11, 99]}, {\"cell\": \"CD11b vs. CD62 L (r = 0.789189; p = 0.0014)\", \"bbox\": [115, 90, 175, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 90, 231, 99]}, {\"cell\": \"(−)\", \"bbox\": [320, 90, 331, 99]}, {\"cell\": \"(−)\", \"bbox\": [425, 90, 436, 99]}, {\"cell\": \"(−)\", \"bbox\": [1, 122, 11, 131]}, {\"cell\": \"CD11c vs. CD64 (r = − 0.645134; p = 0.0173)\", \"bbox\": [115, 122, 168, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 122, 231, 131]}, {\"cell\": \"(−)\", \"bbox\": [320, 122, 331, 131]}, {\"cell\": \"(−)\", \"bbox\": [425, 122, 436, 131]}, {\"cell\": \"(−)\", \"bbox\": [1, 154, 11, 163]}, {\"cell\": \"CD11c vs. HLA-DR (r = 0.672398; p = 0.0119)\", \"bbox\": [115, 154, 175, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 154, 231, 163]}, {\"cell\": \"CD11c vs. HLA-DR (r = 0.445866; p = 0.0488)\", \"bbox\": [320, 154, 381, 181]}, {\"cell\": \"(−)\", \"bbox\": [425, 154, 436, 163]}, {\"cell\": \"(−)\", \"bbox\": [1, 186, 11, 195]}, {\"cell\": \"(−)\", \"bbox\": [115, 186, 126, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 186, 275, 213]}, {\"cell\": \"(−)\", \"bbox\": [320, 186, 331, 195]}, {\"cell\": \"(−)\", \"bbox\": [425, 186, 436, 195]}, {\"cell\": \"(−)\", \"bbox\": [1, 218, 11, 227]}, {\"cell\": \"(−)\", \"bbox\": [115, 218, 126, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 218, 231, 227]}, {\"cell\": \"(−)\", \"bbox\": [320, 218, 331, 227]}, {\"cell\": \"CD16 vs. HLA-DR (r = − 0.506677; p = 0.0137)\", \"bbox\": [425, 218, 482, 245]}, {\"cell\": \"CD54 vs. CD62 L (r = 0.518139; p = 0.0005)\", \"bbox\": [1, 250, 56, 277]}, {\"cell\": \"CD54 vs. CD62 L (r = 0.570250; p = 0.0419)\", \"bbox\": [115, 250, 171, 277]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 250, 275, 277]}, {\"cell\": \"(−)\", \"bbox\": [320, 250, 331, 259]}, {\"cell\": \"CD54 vs. CD62 L (r = 0.426489; p = 0.0425)\", \"bbox\": [425, 250, 481, 277]}, {\"cell\": \"(−)\", \"bbox\": [1, 282, 11, 291]}, {\"cell\": \"(−)\", \"bbox\": [115, 282, 126, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 282, 231, 291]}, {\"cell\": \"CD54 vs. HLA-DR (r = −0.476692; p = 0.0336)\", \"bbox\": [320, 282, 377, 309]}, {\"cell\": \"(−)\", \"bbox\": [425, 282, 436, 291]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4416309_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL][EMPTY_CELL]BlackWhite
SexBiological age groupanAge (years)HAZbBAZcnAge (years)HAZbBAZc
Girls115713.2 ± 1.0[EMPTY_CELL]0.22 ± 1.196713.8 ± 1.10.41 ± 1.200.15 ± 1.08
[EMPTY_CELL]216514.2 ± 0.9[EMPTY_CELL]0.34 ± 1.146414.8 ± 1.10.39 ± 1.010.26 ± 1.10
[EMPTY_CELL]316415.1 ± 0.9[EMPTY_CELL]0.44 ± 1.086415.7 ± 1.20.29 ± 1.060.14 ± 1.01
[EMPTY_CELL]416616.1 ± 1.0[EMPTY_CELL]0.48 ± 1.075616.5 ± 1.10.25 ± 1.050.27 ± 0.98
[EMPTY_CELL]515417.0 ± 0.9[EMPTY_CELL]0.51 ± 1.065417.5 ± 1.10.20 ± 0.960.18 ± 1.05
[EMPTY_CELL]612318.0 ± 0.9[EMPTY_CELL]0.64 ± 1.084018.4 ± 1.10.34 ± 1.130.31 ± 1.12
[EMPTY_CELL]79818.9 ± 0.8[EMPTY_CELL]0.62 ± 1.033619.2 ± 1.00.39 ± 1.080.43 ± 1.14
Boys018514.5 ± 1.1[EMPTY_CELL]–0.18 ± 1.256713.9 ± 0.90.56 ± 1.190.09 ± 1.15
[EMPTY_CELL]118615.5 ± 1.1[EMPTY_CELL]–0.26 ± 1.185814.7 ± 0.80.69 ± 1.100.16 ± 1.02
[EMPTY_CELL]217516.5 ± 1.1[EMPTY_CELL]–0.35 ± 1.125815.8 ± 0.80.53 ± 1.090.14 ± 1.09
[EMPTY_CELL]316617.4 ± 1.0[EMPTY_CELL]–0.39 ± 1.135716.8 ± 0.90.37 ± 1.080.21 ± 0.99
[EMPTY_CELL]414018.3 ± 1.0[EMPTY_CELL]–0.41 ± 1.205117.8 ± 0.80.29 ± 1.090.10 ± 1.00
[EMPTY_CELL]511519.4 ± 1.1[EMPTY_CELL]–0.45 ± 1.013118.5 ± 0.70.10 ± 1.060.36 ± 0.98
[EMPTY_CELL]67520.3 ± 1.1[EMPTY_CELL]–0.38 ± 1.213019.3 ± 0.80.00 ± 1.040.35 ± 1.01
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Black\", \"bbox\": [211, 5, 233, 16]}, {\"cell\": \"White\", \"bbox\": [404, 5, 429, 16]}, {\"cell\": \"Sex\", \"bbox\": [1, 22, 16, 32]}, {\"cell\": \"Biological age groupa\", \"bbox\": [31, 20, 116, 32]}, {\"cell\": \"n\", \"bbox\": [132, 24, 139, 30]}, {\"cell\": \"Age (years)\", \"bbox\": [154, 22, 199, 32]}, {\"cell\": \"HAZb\", \"bbox\": [223, 20, 245, 32]}, {\"cell\": \"BAZc\", \"bbox\": [283, 20, 303, 32]}, {\"cell\": \"n\", \"bbox\": [331, 24, 337, 30]}, {\"cell\": \"Age (years)\", \"bbox\": [351, 22, 395, 32]}, {\"cell\": \"HAZb\", \"bbox\": [417, 20, 439, 32]}, {\"cell\": \"BAZc\", \"bbox\": [473, 20, 493, 32]}, {\"cell\": \"Girls\", \"bbox\": [1, 38, 19, 48]}, {\"cell\": \"1\", \"bbox\": [70, 38, 77, 48]}, {\"cell\": \"157\", \"bbox\": [127, 38, 143, 48]}, {\"cell\": \"13.2 ± 1.0\", \"bbox\": [157, 38, 196, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 38, 258, 48]}, {\"cell\": \"0.22 ± 1.19\", \"bbox\": [274, 38, 317, 48]}, {\"cell\": \"67\", \"bbox\": [328, 38, 340, 48]}, {\"cell\": \"13.8 ± 1.1\", \"bbox\": [354, 38, 392, 48]}, {\"cell\": \"0.41 ± 1.20\", \"bbox\": [407, 38, 450, 48]}, {\"cell\": \"0.15 ± 1.08\", \"bbox\": [461, 38, 505, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2\", \"bbox\": [70, 49, 77, 59]}, {\"cell\": \"165\", \"bbox\": [127, 49, 143, 59]}, {\"cell\": \"14.2 ± 0.9\", \"bbox\": [157, 49, 196, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 49, 258, 59]}, {\"cell\": \"0.34 ± 1.14\", \"bbox\": [274, 49, 317, 59]}, {\"cell\": \"64\", \"bbox\": [328, 49, 340, 59]}, {\"cell\": \"14.8 ± 1.1\", \"bbox\": [354, 49, 392, 59]}, {\"cell\": \"0.39 ± 1.01\", \"bbox\": [407, 49, 450, 59]}, {\"cell\": \"0.26 ± 1.10\", \"bbox\": [461, 49, 505, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3\", \"bbox\": [70, 60, 77, 70]}, {\"cell\": \"164\", \"bbox\": [127, 60, 143, 70]}, {\"cell\": \"15.1 ± 0.9\", \"bbox\": [157, 60, 196, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 60, 258, 70]}, {\"cell\": \"0.44 ± 1.08\", \"bbox\": [274, 60, 317, 70]}, {\"cell\": \"64\", \"bbox\": [328, 60, 340, 70]}, {\"cell\": \"15.7 ± 1.2\", \"bbox\": [354, 60, 392, 70]}, {\"cell\": \"0.29 ± 1.06\", \"bbox\": [407, 60, 450, 70]}, {\"cell\": \"0.14 ± 1.01\", \"bbox\": [461, 60, 505, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"4\", \"bbox\": [70, 71, 77, 81]}, {\"cell\": \"166\", \"bbox\": [127, 71, 143, 81]}, {\"cell\": \"16.1 ± 1.0\", \"bbox\": [157, 71, 196, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 71, 258, 81]}, {\"cell\": \"0.48 ± 1.07\", \"bbox\": [274, 71, 317, 81]}, {\"cell\": \"56\", \"bbox\": [328, 71, 340, 81]}, {\"cell\": \"16.5 ± 1.1\", \"bbox\": [354, 71, 392, 81]}, {\"cell\": \"0.25 ± 1.05\", \"bbox\": [407, 71, 450, 81]}, {\"cell\": \"0.27 ± 0.98\", \"bbox\": [461, 71, 505, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"5\", \"bbox\": [70, 82, 77, 92]}, {\"cell\": \"154\", \"bbox\": [127, 82, 143, 92]}, {\"cell\": \"17.0 ± 0.9\", \"bbox\": [157, 82, 196, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 82, 258, 92]}, {\"cell\": \"0.51 ± 1.06\", \"bbox\": [274, 82, 317, 92]}, {\"cell\": \"54\", \"bbox\": [328, 82, 340, 92]}, {\"cell\": \"17.5 ± 1.1\", \"bbox\": [354, 82, 392, 92]}, {\"cell\": \"0.20 ± 0.96\", \"bbox\": [407, 82, 450, 92]}, {\"cell\": \"0.18 ± 1.05\", \"bbox\": [461, 82, 505, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"6\", \"bbox\": [70, 93, 77, 103]}, {\"cell\": \"123\", \"bbox\": [127, 93, 143, 103]}, {\"cell\": \"18.0 ± 0.9\", \"bbox\": [157, 93, 196, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 93, 258, 103]}, {\"cell\": \"0.64 ± 1.08\", \"bbox\": [274, 93, 317, 103]}, {\"cell\": \"40\", \"bbox\": [328, 93, 340, 103]}, {\"cell\": \"18.4 ± 1.1\", \"bbox\": [354, 93, 392, 103]}, {\"cell\": \"0.34 ± 1.13\", \"bbox\": [407, 93, 450, 103]}, {\"cell\": \"0.31 ± 1.12\", \"bbox\": [461, 93, 505, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"7\", \"bbox\": [70, 104, 77, 114]}, {\"cell\": \"98\", \"bbox\": [130, 104, 141, 114]}, {\"cell\": \"18.9 ± 0.8\", \"bbox\": [157, 104, 196, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 104, 258, 114]}, {\"cell\": \"0.62 ± 1.03\", \"bbox\": [274, 104, 317, 114]}, {\"cell\": \"36\", \"bbox\": [328, 104, 340, 114]}, {\"cell\": \"19.2 ± 1.0\", \"bbox\": [354, 104, 392, 114]}, {\"cell\": \"0.39 ± 1.08\", \"bbox\": [407, 104, 450, 114]}, {\"cell\": \"0.43 ± 1.14\", \"bbox\": [461, 104, 505, 114]}, {\"cell\": \"Boys\", \"bbox\": [0, 115, 20, 125]}, {\"cell\": \"0\", \"bbox\": [70, 115, 77, 125]}, {\"cell\": \"185\", \"bbox\": [127, 115, 143, 125]}, {\"cell\": \"14.5 ± 1.1\", \"bbox\": [157, 115, 196, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 115, 258, 125]}, {\"cell\": \"–0.18 ± 1.25\", \"bbox\": [269, 115, 317, 125]}, {\"cell\": \"67\", \"bbox\": [328, 115, 340, 125]}, {\"cell\": \"13.9 ± 0.9\", \"bbox\": [354, 115, 392, 125]}, {\"cell\": \"0.56 ± 1.19\", \"bbox\": [407, 115, 450, 125]}, {\"cell\": \"0.09 ± 1.15\", \"bbox\": [461, 115, 505, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [70, 126, 77, 136]}, {\"cell\": \"186\", \"bbox\": [127, 126, 143, 136]}, {\"cell\": \"15.5 ± 1.1\", \"bbox\": [157, 126, 196, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 126, 258, 136]}, {\"cell\": \"–0.26 ± 1.18\", \"bbox\": [269, 126, 317, 136]}, {\"cell\": \"58\", \"bbox\": [328, 126, 340, 136]}, {\"cell\": \"14.7 ± 0.8\", \"bbox\": [354, 126, 392, 136]}, {\"cell\": \"0.69 ± 1.10\", \"bbox\": [407, 126, 450, 136]}, {\"cell\": \"0.16 ± 1.02\", \"bbox\": [461, 126, 505, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2\", \"bbox\": [70, 137, 77, 147]}, {\"cell\": \"175\", \"bbox\": [127, 137, 143, 147]}, {\"cell\": \"16.5 ± 1.1\", \"bbox\": [157, 137, 196, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 137, 258, 147]}, {\"cell\": \"–0.35 ± 1.12\", \"bbox\": [269, 137, 317, 147]}, {\"cell\": \"58\", \"bbox\": [328, 137, 340, 147]}, {\"cell\": \"15.8 ± 0.8\", \"bbox\": [354, 137, 392, 147]}, {\"cell\": \"0.53 ± 1.09\", \"bbox\": [407, 137, 450, 147]}, {\"cell\": \"0.14 ± 1.09\", \"bbox\": [461, 137, 505, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3\", \"bbox\": [70, 148, 77, 158]}, {\"cell\": \"166\", \"bbox\": [127, 148, 143, 158]}, {\"cell\": \"17.4 ± 1.0\", \"bbox\": [157, 148, 196, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 148, 258, 158]}, {\"cell\": \"–0.39 ± 1.13\", \"bbox\": [269, 148, 317, 158]}, {\"cell\": \"57\", \"bbox\": [328, 148, 340, 158]}, {\"cell\": \"16.8 ± 0.9\", \"bbox\": [354, 148, 392, 158]}, {\"cell\": \"0.37 ± 1.08\", \"bbox\": [407, 148, 450, 158]}, {\"cell\": \"0.21 ± 0.99\", \"bbox\": [461, 148, 505, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"4\", \"bbox\": [70, 159, 77, 169]}, {\"cell\": \"140\", \"bbox\": [127, 159, 143, 169]}, {\"cell\": \"18.3 ± 1.0\", \"bbox\": [157, 159, 196, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 159, 258, 169]}, {\"cell\": \"–0.41 ± 1.20\", \"bbox\": [269, 159, 317, 169]}, {\"cell\": \"51\", \"bbox\": [328, 159, 340, 169]}, {\"cell\": \"17.8 ± 0.8\", \"bbox\": [354, 159, 392, 169]}, {\"cell\": \"0.29 ± 1.09\", \"bbox\": [407, 159, 450, 169]}, {\"cell\": \"0.10 ± 1.00\", \"bbox\": [461, 159, 505, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"5\", \"bbox\": [70, 170, 77, 180]}, {\"cell\": \"115\", \"bbox\": [127, 170, 143, 180]}, {\"cell\": \"19.4 ± 1.1\", \"bbox\": [157, 170, 196, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 170, 258, 180]}, {\"cell\": \"–0.45 ± 1.01\", \"bbox\": [269, 170, 317, 180]}, {\"cell\": \"31\", \"bbox\": [328, 170, 340, 180]}, {\"cell\": \"18.5 ± 0.7\", \"bbox\": [354, 170, 392, 180]}, {\"cell\": \"0.10 ± 1.06\", \"bbox\": [407, 170, 450, 180]}, {\"cell\": \"0.36 ± 0.98\", \"bbox\": [461, 170, 505, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"6\", \"bbox\": [70, 181, 77, 191]}, {\"cell\": \"75\", \"bbox\": [130, 181, 141, 191]}, {\"cell\": \"20.3 ± 1.1\", \"bbox\": [157, 181, 196, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 181, 258, 191]}, {\"cell\": \"–0.38 ± 1.21\", \"bbox\": [269, 181, 317, 191]}, {\"cell\": \"30\", \"bbox\": [328, 181, 340, 191]}, {\"cell\": \"19.3 ± 0.8\", \"bbox\": [354, 181, 392, 191]}, {\"cell\": \"0.00 ± 1.04\", \"bbox\": [407, 181, 450, 191]}, {\"cell\": \"0.35 ± 1.01\", \"bbox\": [461, 181, 505, 191]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5947614_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariablesBreasr cancer patients (n = 378)Breast benign tumors (n = 120)Healthy (n = 40)
Age≤ 40 years[EMPTY_CELL]76 (63.3%)12 (30%)
[EMPTY_CELL]> 40 years[EMPTY_CELL]44 (36.7%)28 (70%)
MenopauseYes[EMPTY_CELL]32 (26.7%)[EMPTY_CELL]
[EMPTY_CELL]No[EMPTY_CELL]88 (73.3%)[EMPTY_CELL]
Tumor size≤ 2cm[EMPTY_CELL]67 (55.8%)[EMPTY_CELL]
[EMPTY_CELL]> 2cm[EMPTY_CELL]53 (44.2%)[EMPTY_CELL]
LN statusNegative[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Positive[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
TNM stageI[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]II[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]III[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Tumor GradeI[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]II-III[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
ERNegative[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Positive[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
PRNegative[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Positive[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
HER2Negative[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Positive[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Ki67≤ 14%[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]> 14%[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
SurgeryMastectomy[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]BCS[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
ChemotherapyNo[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]Yes[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Variables\", \"bbox\": [58, 11, 100, 21]}, {\"cell\": \"Breasr cancer patients (n = 378)\", \"bbox\": [165, 5, 263, 27]}, {\"cell\": \"Breast benign tumors (n = 120)\", \"bbox\": [293, 5, 387, 27]}, {\"cell\": \"Healthy (n = 40)\", \"bbox\": [434, 5, 470, 27]}, {\"cell\": \"Age\", \"bbox\": [4, 31, 23, 42]}, {\"cell\": \"≤ 40 years\", \"bbox\": [98, 28, 141, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 31, 238, 42]}, {\"cell\": \"76 (63.3%)\", \"bbox\": [316, 31, 363, 42]}, {\"cell\": \"12 (30%)\", \"bbox\": [433, 31, 472, 42]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"> 40 years\", \"bbox\": [98, 43, 141, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 46, 240, 57]}, {\"cell\": \"44 (36.7%)\", \"bbox\": [316, 46, 363, 57]}, {\"cell\": \"28 (70%)\", \"bbox\": [433, 46, 472, 57]}, {\"cell\": \"Menopause\", \"bbox\": [4, 61, 53, 72]}, {\"cell\": \"Yes\", \"bbox\": [111, 61, 128, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 61, 240, 72]}, {\"cell\": \"32 (26.7%)\", \"bbox\": [316, 61, 363, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No\", \"bbox\": [112, 76, 126, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 76, 240, 87]}, {\"cell\": \"88 (73.3%)\", \"bbox\": [316, 76, 363, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Tumor size\", \"bbox\": [4, 88, 51, 103]}, {\"cell\": \"≤ 2cm\", \"bbox\": [106, 88, 133, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 91, 240, 102]}, {\"cell\": \"67 (55.8%)\", \"bbox\": [316, 91, 363, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"> 2cm\", \"bbox\": [106, 103, 133, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 106, 240, 117]}, {\"cell\": \"53 (44.2%)\", \"bbox\": [316, 106, 363, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"LN status\", \"bbox\": [4, 121, 45, 132]}, {\"cell\": \"Negative\", \"bbox\": [100, 121, 138, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 121, 240, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Positive\", \"bbox\": [102, 136, 136, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 136, 240, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TNM stage\", \"bbox\": [4, 151, 52, 162]}, {\"cell\": \"I\", \"bbox\": [117, 151, 122, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 151, 238, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"II\", \"bbox\": [115, 166, 124, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 166, 240, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"III\", \"bbox\": [113, 181, 125, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 181, 240, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Tumor Grade\", \"bbox\": [4, 196, 60, 207]}, {\"cell\": \"I\", \"bbox\": [117, 196, 122, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [193, 196, 235, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"II-III\", \"bbox\": [108, 211, 130, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 211, 240, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"ER\", \"bbox\": [4, 223, 19, 238]}, {\"cell\": \"Negative\", \"bbox\": [100, 226, 138, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 226, 238, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Positive\", \"bbox\": [102, 241, 136, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 241, 240, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"PR\", \"bbox\": [4, 253, 19, 268]}, {\"cell\": \"Negative\", \"bbox\": [100, 256, 138, 267]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 256, 238, 267]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Positive\", \"bbox\": [102, 271, 136, 282]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 271, 240, 282]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"HER2\", \"bbox\": [4, 283, 31, 298]}, {\"cell\": \"Negative\", \"bbox\": [100, 286, 138, 297]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 286, 240, 297]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Positive\", \"bbox\": [102, 301, 136, 312]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 301, 238, 312]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ki67\", \"bbox\": [4, 313, 26, 328]}, {\"cell\": \"≤ 14%\", \"bbox\": [105, 313, 134, 328]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 316, 240, 327]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"> 14%\", \"bbox\": [105, 328, 134, 343]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 331, 240, 342]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Surgery\", \"bbox\": [4, 343, 38, 358]}, {\"cell\": \"Mastectomy\", \"bbox\": [94, 346, 145, 357]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 346, 240, 357]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"BCS\", \"bbox\": [109, 358, 130, 373]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 361, 238, 372]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Chemotherapy\", \"bbox\": [4, 376, 65, 387]}, {\"cell\": \"No\", \"bbox\": [112, 376, 126, 387]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 376, 238, 387]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Yes\", \"bbox\": [111, 392, 128, 403]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 392, 240, 403]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5356669_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Single testersRepeat testers
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]CrudeAdjusted
[EMPTY_CELL]n%n%OR95% CIOR95% CI
[EMPTY_CELL]41,12988.9515711.1[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]
[EMPTY_CELL]25966.32995.81–1–
[EMPTY_CELL]19,13946.5258250.11.17(1.03–1.33)1.08(0.94–1.23)
[EMPTY_CELL]19,39447.2227644.11.02(0.90–1.16)0.82(0.72–0.93)
[EMPTY_CELL]
[EMPTY_CELL]12,97131.5151629.41–1–
[EMPTY_CELL]22,36354.4237646.10.91(0.85–0.97)0.98(0.91–1.06)
[EMPTY_CELL]
[EMPTY_CELL]26,96465.6300658.31–1–
[EMPTY_CELL]25246.13226.31.14(1.01–1.29)1.06(0.93–1.20)
[EMPTY_CELL]11,60228.2182835.41.41(1.33–1.50)1.37(1.28–1.46)
[EMPTY_CELL]
[EMPTY_CELL]855921.052910.41–1–
[EMPTY_CELL]16,19139.7178334.91.78(1.61–1.97)1.75(1.58–1.94)
[EMPTY_CELL]16,02339.3280154.82.83(2.57–3.12)2.80(2.54–3.09)
[EMPTY_CELL]
[EMPTY_CELL]29,25773.8372074.51–––
[EMPTY_CELL]10,37626.2127325.50.96(0.90–1.03)––
[EMPTY_CELL]
[EMPTY_CELL]30,76375.2391776.21–––
[EMPTY_CELL]10,15524.8122323.80.95(0.88–1.01)––
[EMPTY_CELL]
[EMPTY_CELL]26,96865.9313561.11–1–
[EMPTY_CELL]13,93934.1199538.91.23(1.16–1.31)1.10(1.03–1.17)
[EMPTY_CELL]
[EMPTY_CELL]34,08882.9410379.61–1–
[EMPTY_CELL]26106.472114.02.30(2.10–2.51)2.08(1.90–2.28)
[EMPTY_CELL]
[EMPTY_CELL]35,37386.0391075.81–1–
[EMPTY_CELL]575614.0124724.21.96(1.83–2.10)1.85(1.72–1.99)
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Single testers\", \"bbox\": [103, 4, 148, 13]}, {\"cell\": \"Repeat testers\", \"bbox\": [201, 4, 248, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Crude\", \"bbox\": [293, 17, 314, 27]}, {\"cell\": \"Adjusted\", \"bbox\": [404, 17, 434, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"n\", \"bbox\": [103, 30, 110, 40]}, {\"cell\": \"%\", \"bbox\": [156, 30, 164, 40]}, {\"cell\": \"n\", \"bbox\": [201, 30, 207, 40]}, {\"cell\": \"%\", \"bbox\": [248, 30, 256, 40]}, {\"cell\": \"OR\", \"bbox\": [293, 30, 304, 40]}, {\"cell\": \"95% CI\", \"bbox\": [338, 30, 362, 40]}, {\"cell\": \"OR\", \"bbox\": [404, 30, 415, 40]}, {\"cell\": \"95% CI\", \"bbox\": [449, 30, 473, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 43, 18, 53]}, {\"cell\": \"41,129\", \"bbox\": [103, 43, 126, 53]}, {\"cell\": \"88.9\", \"bbox\": [156, 43, 171, 53]}, {\"cell\": \"5157\", \"bbox\": [201, 43, 218, 53]}, {\"cell\": \"11.1\", \"bbox\": [248, 43, 263, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 57, 15, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 71, 30, 81]}, {\"cell\": \"2596\", \"bbox\": [103, 71, 121, 81]}, {\"cell\": \"6.3\", \"bbox\": [156, 71, 167, 81]}, {\"cell\": \"299\", \"bbox\": [201, 71, 214, 81]}, {\"cell\": \"5.8\", \"bbox\": [248, 71, 259, 81]}, {\"cell\": \"1\", \"bbox\": [293, 71, 299, 81]}, {\"cell\": \"–\", \"bbox\": [338, 75, 344, 79]}, {\"cell\": \"1\", \"bbox\": [404, 71, 410, 81]}, {\"cell\": \"–\", \"bbox\": [449, 75, 455, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 85, 30, 95]}, {\"cell\": \"19,139\", \"bbox\": [103, 85, 126, 95]}, {\"cell\": \"46.5\", \"bbox\": [156, 85, 171, 95]}, {\"cell\": \"2582\", \"bbox\": [201, 85, 218, 95]}, {\"cell\": \"50.1\", \"bbox\": [248, 85, 263, 95]}, {\"cell\": \"1.17\", \"bbox\": [293, 85, 308, 95]}, {\"cell\": \"(1.03–1.33)\", \"bbox\": [338, 85, 374, 95]}, {\"cell\": \"1.08\", \"bbox\": [404, 85, 419, 95]}, {\"cell\": \"(0.94–1.23)\", \"bbox\": [449, 85, 484, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 99, 23, 109]}, {\"cell\": \"19,394\", \"bbox\": [103, 99, 126, 109]}, {\"cell\": \"47.2\", \"bbox\": [156, 99, 171, 109]}, {\"cell\": \"2276\", \"bbox\": [201, 99, 218, 109]}, {\"cell\": \"44.1\", \"bbox\": [248, 99, 263, 109]}, {\"cell\": \"1.02\", \"bbox\": [293, 99, 308, 109]}, {\"cell\": \"(0.90–1.16)\", \"bbox\": [338, 99, 374, 109]}, {\"cell\": \"0.82\", \"bbox\": [404, 99, 419, 109]}, {\"cell\": \"(0.72–0.93)\", \"bbox\": [449, 99, 484, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 112, 57, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 127, 24, 137]}, {\"cell\": \"12,971\", \"bbox\": [103, 127, 126, 137]}, {\"cell\": \"31.5\", \"bbox\": [156, 127, 171, 137]}, {\"cell\": \"1516\", \"bbox\": [201, 127, 218, 137]}, {\"cell\": \"29.4\", \"bbox\": [248, 127, 263, 137]}, {\"cell\": \"1\", \"bbox\": [293, 127, 299, 137]}, {\"cell\": \"–\", \"bbox\": [338, 131, 344, 135]}, {\"cell\": \"1\", \"bbox\": [404, 127, 410, 137]}, {\"cell\": \"–\", \"bbox\": [449, 131, 455, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 141, 26, 151]}, {\"cell\": \"22,363\", \"bbox\": [103, 141, 126, 151]}, {\"cell\": \"54.4\", \"bbox\": [156, 141, 171, 151]}, {\"cell\": \"2376\", \"bbox\": [201, 141, 218, 151]}, {\"cell\": \"46.1\", \"bbox\": [248, 141, 263, 151]}, {\"cell\": \"0.91\", \"bbox\": [293, 141, 308, 151]}, {\"cell\": \"(0.85–0.97)\", \"bbox\": [338, 141, 374, 151]}, {\"cell\": \"0.98\", \"bbox\": [404, 141, 419, 151]}, {\"cell\": \"(0.91–1.06)\", \"bbox\": [449, 141, 484, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 155, 30, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 169, 30, 179]}, {\"cell\": \"26,964\", \"bbox\": [103, 169, 126, 179]}, {\"cell\": \"65.6\", \"bbox\": [156, 169, 171, 179]}, {\"cell\": \"3006\", \"bbox\": [201, 169, 218, 179]}, {\"cell\": \"58.3\", \"bbox\": [248, 169, 263, 179]}, {\"cell\": \"1\", \"bbox\": [293, 169, 299, 179]}, {\"cell\": \"–\", \"bbox\": [338, 173, 344, 177]}, {\"cell\": \"1\", \"bbox\": [404, 169, 410, 179]}, {\"cell\": \"–\", \"bbox\": [449, 173, 455, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 183, 73, 193]}, {\"cell\": \"2524\", \"bbox\": [103, 183, 121, 193]}, {\"cell\": \"6.1\", \"bbox\": [156, 183, 167, 193]}, {\"cell\": \"322\", \"bbox\": [201, 183, 214, 193]}, {\"cell\": \"6.3\", \"bbox\": [248, 183, 259, 193]}, {\"cell\": \"1.14\", \"bbox\": [293, 183, 308, 193]}, {\"cell\": \"(1.01–1.29)\", \"bbox\": [338, 183, 374, 193]}, {\"cell\": \"1.06\", \"bbox\": [404, 183, 419, 193]}, {\"cell\": \"(0.93–1.20)\", \"bbox\": [449, 183, 484, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 197, 52, 207]}, {\"cell\": 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{\"cell\": \"1.96\", \"bbox\": [293, 463, 308, 473]}, {\"cell\": \"(1.83–2.10)\", \"bbox\": [338, 463, 374, 473]}, {\"cell\": \"1.85\", \"bbox\": [404, 463, 419, 473]}, {\"cell\": \"(1.72–1.99)\", \"bbox\": [449, 463, 484, 473]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5738891_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Total Cancers (n = 443)GI Cancer (n = 148)Non-GI Cancer (n = 295)
No. of Cases/Person-YearsModel 1 1Model 2 2No. of Cases/Person-YearsModel 1 1Model 2 2No. of Cases/Person-YearsModel 1 1Model 2 2
HR95% CIHR95% CIHR95% CIHR95% CIHR95% CIHR95% CI
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[EMPTY_CELL]77/14,3201.00[EMPTY_CELL]1.00[EMPTY_CELL]23/11,3941.00[EMPTY_CELL]1.00[EMPTY_CELL]54/12,6921.00[EMPTY_CELL]1.00[EMPTY_CELL]
[EMPTY_CELL]109/22,3421.00(0.74, 1.34)0.84(0.59, 1.22)24/20,8830.89(0.50, 1.59)0.79(0.37, 1.71)85/19,8341.03(0.73, 1.46)0.85(0.56, 1.29)
[EMPTY_CELL][EMPTY_CELL]0.977[EMPTY_CELL]0.367[EMPTY_CELL][EMPTY_CELL]0.702[EMPTY_CELL]0.557[EMPTY_CELL][EMPTY_CELL]0.857[EMPTY_CELL]0.440[EMPTY_CELL]
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[EMPTY_CELL]61/11,0410.79(0.56, 1.11)0.81(0.56, 1.18)28/10,8491.06(0.61, 1.83)1.22(0.67, 2.21)33/97850.65(0.42, 1.02)0.63(0.39, 1.02)
[EMPTY_CELL]65/11,0880.78(0.56, 1.10)0.73(0.50, 1.06)27/10,9550.93(0.54, 1.62)0.89(0.47, 1.66)38/98380.70(0.46, 1.08)0.65(0.41, 1.03)
[EMPTY_CELL]61/11,2510.70(0.49, 0.99)0.69(0.47, 1.00)22/11,1110.72(0.40, 1.28)0.76(0.40, 1.46)39/99290.69(0.45, 1.06)0.66(0.41, 1.06)
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[EMPTY_CELL]45/90901.00(0.66, 1.53)0.96(0.58, 1.59)12/90250.79(0.36, 1.74)0.69(0.25, 1.89)32/80711.02(0.62, 1.68)1.08(0.60, 1.94)
[EMPTY_CELL]53/91871.16(0.77, 1.74)0.94(0.57, 1.55)12/91600.76(0.34, 1.67)0.60(0.21, 1.71)41/81591.30(0.81, 2.07)1.09(0.61, 1.96)
[EMPTY_CELL]45/92870.96(0.63, 1.46)0.91(0.55, 1.53)10/9169 0.60(0.26, 1.38)0.41(0.14, 1.26)35/82231.10(0.67, 1.78)1.17(0.65, 2.11)
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\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Total Cancers (n = 443)\", \"bbox\": [128, 2, 202, 11]}, {\"cell\": \"GI Cancer (n = 148)\", \"bbox\": [340, 2, 404, 11]}, {\"cell\": \"Non-GI Cancer (n = 295)\", \"bbox\": [539, 2, 619, 11]}, {\"cell\": \"No. of Cases/Person-Years\", \"bbox\": [70, 17, 115, 33]}, {\"cell\": \"Model 1 1\", \"bbox\": [140, 14, 173, 23]}, {\"cell\": \"Model 2 2\", \"bbox\": [213, 14, 245, 23]}, {\"cell\": \"No. of Cases/Person-Years\", \"bbox\": [272, 17, 316, 33]}, {\"cell\": \"Model 1 1\", \"bbox\": [342, 14, 374, 23]}, {\"cell\": \"Model 2 2\", \"bbox\": [420, 14, 453, 23]}, {\"cell\": \"No. of Cases/Person-Years\", \"bbox\": [485, 17, 529, 33]}, {\"cell\": \"Model 1 1\", \"bbox\": [554, 14, 587, 23]}, {\"cell\": \"Model 2 2\", \"bbox\": [627, 14, 660, 23]}, {\"cell\": \"HR\", \"bbox\": [128, 27, 141, 35]}, {\"cell\": \"95% CI\", \"bbox\": [158, 27, 183, 35]}, {\"cell\": \"HR\", \"bbox\": [200, 27, 213, 35]}, {\"cell\": \"95% 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[]}, {\"cell\": \"0.727\", \"bbox\": [198, 253, 216, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.254\", \"bbox\": [327, 253, 345, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.128\", \"bbox\": [405, 253, 423, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.631\", \"bbox\": [540, 253, 557, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.619\", \"bbox\": [612, 253, 630, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5622698_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]At 1 year (%)At 3 years (%)P
Radiochemotherapy regimen
Cisplatin weekly (N = 75)[EMPTY_CELL]58[EMPTY_CELL]
Cisplatin 100 mg/m2 (N = 58)[EMPTY_CELL]780.010
Age
≤56 years (N = 67)[EMPTY_CELL]65[EMPTY_CELL]
≥57 years (N = 66)[EMPTY_CELL]680.72
Gender
Female (N = 29)[EMPTY_CELL]87[EMPTY_CELL]
Male (N = 104)[EMPTY_CELL]610.010
ECOG Performance score
0–1 (N = 115)[EMPTY_CELL]69[EMPTY_CELL]
2 (N = 18)[EMPTY_CELL]490.14
Primary tumor site
Oropharynx (N = 69)[EMPTY_CELL]74[EMPTY_CELL]
Hypopharynx (N = 19)[EMPTY_CELL]47[EMPTY_CELL]
Larynx (N = 30)[EMPTY_CELL]67[EMPTY_CELL]
Oral cavity/Floor of mouth (N = 15)[EMPTY_CELL]560.047
T-category
T1–2 (N = 16)[EMPTY_CELL]76[EMPTY_CELL]
T3–4 (N = 117)[EMPTY_CELL]650.28
N-category
N0-2a (N = 66)[EMPTY_CELL]68[EMPTY_CELL]
N2b-3 (N = 67)[EMPTY_CELL]650.93
Histologic grading
G 1–2 (N = 85)[EMPTY_CELL]69[EMPTY_CELL]
G3 (N = 48)[EMPTY_CELL]630.65
Cumulative cisplatin dose
≤200 mg/m2 (N = 85)[EMPTY_CELL]62[EMPTY_CELL]
>200 mg/m2 (N = 48)[EMPTY_CELL]740.09
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"At 1 year (%)\", \"bbox\": [120, 4, 163, 13]}, {\"cell\": \"At 3 years (%)\", \"bbox\": [168, 4, 214, 13]}, {\"cell\": \"P\", \"bbox\": [218, 4, 223, 12]}, {\"cell\": \"Radiochemotherapy regimen\", \"bbox\": [1, 17, 96, 27]}, {\"cell\": \" Cisplatin weekly (N = 75)\", \"bbox\": [8, 31, 89, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [120, 31, 130, 41]}, {\"cell\": \"58\", \"bbox\": [168, 31, 177, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Cisplatin 100 mg/m2 (N = 58)\", \"bbox\": [8, 43, 103, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [120, 45, 130, 55]}, {\"cell\": \"78\", \"bbox\": [168, 45, 177, 55]}, {\"cell\": \"0.010\", \"bbox\": [218, 45, 236, 55]}, {\"cell\": \"Age\", \"bbox\": [1, 59, 15, 69]}, {\"cell\": \" ≤56 years (N = 67)\", \"bbox\": [8, 73, 69, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [120, 73, 130, 83]}, {\"cell\": \"65\", \"bbox\": [168, 73, 177, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" ≥57 years (N = 66)\", \"bbox\": [8, 87, 69, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [120, 87, 130, 97]}, {\"cell\": \"68\", \"bbox\": [168, 87, 177, 97]}, {\"cell\": \"0.72\", \"bbox\": [218, 87, 233, 97]}, {\"cell\": \"Gender\", \"bbox\": [1, 101, 26, 111]}, {\"cell\": \" Female (N = 29)\", \"bbox\": [8, 115, 60, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [120, 115, 130, 125]}, {\"cell\": \"87\", \"bbox\": [168, 115, 177, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Male (N = 104)\", \"bbox\": [8, 129, 56, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [120, 129, 130, 139]}, {\"cell\": \"61\", \"bbox\": [168, 129, 177, 139]}, {\"cell\": \"0.010\", \"bbox\": [218, 129, 236, 139]}, {\"cell\": \"ECOG Performance score\", \"bbox\": [1, 143, 83, 153]}, {\"cell\": \" 0–1 (N = 115)\", \"bbox\": [8, 157, 53, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [120, 157, 130, 167]}, {\"cell\": \"69\", \"bbox\": [168, 157, 177, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 2 (N = 18)\", \"bbox\": [8, 171, 41, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [120, 171, 130, 181]}, {\"cell\": \"49\", \"bbox\": [168, 171, 177, 181]}, {\"cell\": \"0.14\", \"bbox\": [218, 171, 233, 181]}, {\"cell\": \"Primary tumor site\", \"bbox\": [1, 185, 62, 195]}, {\"cell\": \" Oropharynx (N = 69)\", \"bbox\": [8, 199, 75, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [120, 199, 130, 209]}, {\"cell\": \"74\", \"bbox\": [168, 199, 177, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Hypopharynx (N = 19)\", \"bbox\": [8, 213, 80, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [120, 213, 130, 223]}, {\"cell\": \"47\", \"bbox\": [168, 213, 177, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Larynx (N = 30)\", \"bbox\": [8, 227, 58, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [120, 227, 130, 237]}, {\"cell\": \"67\", \"bbox\": [168, 227, 177, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Oral cavity/Floor of mouth (N = 15)\", \"bbox\": [8, 241, 116, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [120, 241, 130, 251]}, {\"cell\": \"56\", \"bbox\": [168, 241, 177, 251]}, {\"cell\": \"0.047\", \"bbox\": [218, 241, 236, 251]}, {\"cell\": \"T-category\", \"bbox\": [1, 255, 36, 265]}, {\"cell\": \" T1–2 (N = 16)\", \"bbox\": [8, 269, 53, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [120, 269, 130, 279]}, {\"cell\": \"76\", \"bbox\": [168, 269, 177, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" T3–4 (N = 117)\", \"bbox\": [8, 283, 56, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [120, 283, 130, 293]}, {\"cell\": \"65\", \"bbox\": [168, 283, 177, 293]}, {\"cell\": \"0.28\", \"bbox\": [218, 283, 233, 293]}, {\"cell\": \"N-category\", \"bbox\": [1, 297, 38, 307]}, {\"cell\": \" N0-2a (N = 66)\", \"bbox\": [8, 311, 56, 321]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [120, 311, 130, 321]}, {\"cell\": \"68\", \"bbox\": [168, 311, 177, 321]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" N2b-3 (N = 67)\", \"bbox\": [8, 325, 57, 335]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [120, 325, 130, 335]}, {\"cell\": \"65\", \"bbox\": [168, 325, 177, 335]}, {\"cell\": \"0.93\", \"bbox\": [218, 325, 233, 335]}, {\"cell\": \"Histologic grading\", \"bbox\": [1, 339, 61, 349]}, {\"cell\": \" G 1–2 (N = 85)\", \"bbox\": [8, 353, 56, 363]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [120, 353, 130, 363]}, {\"cell\": \"69\", \"bbox\": [168, 353, 177, 363]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" G3 (N = 48)\", \"bbox\": [8, 367, 46, 377]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [120, 367, 130, 377]}, {\"cell\": \"63\", \"bbox\": [168, 367, 177, 377]}, {\"cell\": \"0.65\", \"bbox\": [218, 367, 233, 377]}, {\"cell\": \"Cumulative cisplatin dose\", \"bbox\": [1, 381, 84, 391]}, {\"cell\": \" ≤200 mg/m2 (N = 85)\", \"bbox\": [8, 393, 79, 405]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [120, 395, 130, 405]}, {\"cell\": \"62\", \"bbox\": [168, 395, 177, 405]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" >200 mg/m2 (N = 48)\", \"bbox\": [8, 407, 79, 419]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [120, 409, 130, 419]}, {\"cell\": \"74\", \"bbox\": [168, 409, 177, 419]}, {\"cell\": \"0.09\", \"bbox\": [218, 409, 233, 419]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4938984_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL][EMPTY_CELL]Change in clearance hemofiltration vs hemodialysisa
Molecular substanceNumber of trials; number of patients randomizedEffect estimate95% confidence intervalP-valueHeterogeneity (I2)
Smaller molecules
Urea (60 Da)4 [33,36-38]; 49[EMPTY_CELL]-2% to +3%0.600%
Phosphate (95 Da)1 [37]; 18[EMPTY_CELL]-4% to +4%1.00n/a
Creatinine (113 Da)3 [33,37,38]; 43[EMPTY_CELL]-0.4% to +4.1%0.120%
Uric acid (168 Da)2 [33,37]; 28[EMPTY_CELL]+1% to +7%0.010%
Larger molecules
Vancomycin (1.8 kDa)1 [33]; 10[EMPTY_CELL]+8% to +28%0.0003n/a
β2-microglobulin (11.8 kDa)2 [37,38]; 33[EMPTY_CELL]+78% to +112%<0.00010%
IL-1 Receptor Agonist (16-18 kDa)1 [24]; 12[EMPTY_CELL]+24% to +153%0.002n/a
Retinol Binding Protein (21.2 kDa)1 [37]; 18[EMPTY_CELL]+4% to +94%0.03n/a
IL-6 (26 kDa)2 [24,34]; 22[EMPTY_CELL]-62% to +191%0.9189%
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Change in clearance hemofiltration vs hemodialysisa\", \"bbox\": [282, 2, 466, 13]}, {\"cell\": \"Molecular substance\", \"bbox\": [1, 17, 74, 27]}, {\"cell\": \"Number of trials; number of patients randomized\", \"bbox\": [116, 17, 247, 36]}, {\"cell\": \"Effect estimate\", \"bbox\": [272, 17, 303, 36]}, {\"cell\": \"95% confidence interval\", \"bbox\": [325, 17, 382, 36]}, {\"cell\": \"P-value\", \"bbox\": [399, 17, 420, 36]}, {\"cell\": \"Heterogeneity (I2)\", \"bbox\": [430, 17, 481, 36]}, {\"cell\": \"Smaller molecules\", \"bbox\": [1, 39, 65, 49]}, {\"cell\": \"Urea (60 Da)\", \"bbox\": [1, 53, 43, 62]}, {\"cell\": \"4 [33,36-38]; 49\", \"bbox\": [156, 53, 207, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [278, 51, 297, 62]}, {\"cell\": \"-2% to +3%\", \"bbox\": [334, 53, 374, 62]}, {\"cell\": \"0.60\", \"bbox\": [402, 53, 417, 62]}, {\"cell\": \"0%\", \"bbox\": [450, 53, 462, 62]}, {\"cell\": \"Phosphate (95 Da)\", \"bbox\": [0, 66, 62, 75]}, {\"cell\": \"1 [37]; 18\", \"bbox\": [166, 66, 198, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [280, 64, 294, 75]}, {\"cell\": \"-4% to +4%\", \"bbox\": [334, 66, 374, 75]}, {\"cell\": \"1.00\", \"bbox\": [402, 66, 417, 75]}, {\"cell\": \"n/a\", \"bbox\": [449, 66, 462, 75]}, {\"cell\": \"Creatinine (113 Da)\", \"bbox\": [0, 79, 64, 88]}, {\"cell\": \"3 [33,37,38]; 43\", \"bbox\": [157, 79, 207, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [275, 77, 300, 88]}, {\"cell\": \"-0.4% to +4.1%\", \"bbox\": [328, 79, 379, 88]}, {\"cell\": \"0.12\", \"bbox\": [402, 79, 417, 88]}, {\"cell\": \"0%\", \"bbox\": [450, 79, 462, 88]}, {\"cell\": \"Uric acid (168 Da)\", \"bbox\": [1, 92, 60, 102]}, {\"cell\": \"2 [33,37]; 28\", \"bbox\": [161, 92, 202, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 92, 296, 102]}, {\"cell\": \"+1% to +7%\", \"bbox\": [332, 92, 375, 102]}, {\"cell\": \"0.01\", \"bbox\": [402, 92, 417, 102]}, {\"cell\": \"0%\", \"bbox\": [450, 92, 462, 102]}, {\"cell\": \"Larger molecules\", \"bbox\": [1, 105, 62, 115]}, {\"cell\": \"Vancomycin (1.8 kDa)\", \"bbox\": [1, 119, 72, 128]}, {\"cell\": \"1 [33]; 10\", \"bbox\": [166, 119, 198, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [277, 119, 297, 128]}, {\"cell\": \"+8% to +28%\", \"bbox\": [330, 119, 377, 128]}, {\"cell\": \"0.0003\", \"bbox\": [398, 119, 421, 128]}, {\"cell\": \"n/a\", \"bbox\": [449, 119, 462, 128]}, {\"cell\": \"β2-microglobulin (11.8 kDa)\", \"bbox\": [1, 132, 91, 142]}, {\"cell\": \"2 [37,38]; 33\", \"bbox\": [161, 132, 202, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [276, 130, 299, 141]}, {\"cell\": \"+78% to +112%\", \"bbox\": [327, 132, 381, 141]}, {\"cell\": \"<0.0001\", \"bbox\": [396, 132, 423, 141]}, {\"cell\": \"0%\", \"bbox\": [450, 132, 462, 141]}, {\"cell\": \"IL-1 Receptor Agonist (16-18 kDa)\", \"bbox\": [1, 145, 94, 163]}, {\"cell\": \"1 [24]; 12\", \"bbox\": [166, 145, 198, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [275, 143, 300, 154]}, {\"cell\": \"+24% to +153%\", \"bbox\": [327, 145, 381, 154]}, {\"cell\": \"0.002\", \"bbox\": [400, 145, 419, 154]}, {\"cell\": \"n/a\", \"bbox\": [449, 145, 462, 154]}, {\"cell\": \"Retinol Binding Protein (21.2 kDa)\", \"bbox\": [1, 167, 94, 186]}, {\"cell\": \"1 [37]; 18\", \"bbox\": [166, 167, 198, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [277, 167, 297, 177]}, {\"cell\": \"+4% to +94%\", \"bbox\": [330, 167, 377, 177]}, {\"cell\": \"0.03\", \"bbox\": [402, 167, 417, 177]}, {\"cell\": \"n/a\", \"bbox\": [449, 167, 462, 177]}, {\"cell\": \"IL-6 (26 kDa)\", \"bbox\": [1, 189, 43, 199]}, {\"cell\": \"2 [24,34]; 22\", \"bbox\": [161, 189, 202, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [276, 188, 298, 199]}, {\"cell\": \"-62% to +191%\", \"bbox\": [328, 189, 380, 199]}, {\"cell\": \"0.91\", \"bbox\": [402, 189, 417, 199]}, {\"cell\": \"89%\", \"bbox\": [448, 189, 463, 199]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3580734_011_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
MatrixLODLevelMeasuredRecovery (%)RSD%
Blood (μg/L)0.45[EMPTY_CELL]4.87 ± 0.42 (n = 54)97.44.5
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]49.17 ± 1.58 (n = 54)98.33.2
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]151.09 ± 10.21 (n = 54)100.76.8
Vegetable (laver) (μg/kg)5.0[EMPTY_CELL]48.26 ± 2.13 (n = 12)96.54.4
[EMPTY_CELL]200[EMPTY_CELL]98.95.5
[EMPTY_CELL]500[EMPTY_CELL]100.63.8
Soil (μg/kg)5[EMPTY_CELL]49.05 ± 2.97 (n = 12)98.16.1
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]198.28 ± 8.75 (n = 12)99.14.4
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]495.87 ± 23.22 (n = 12)99.24.7
Water (μg/L)2.5[EMPTY_CELL]19.41 ± 1.06 (n = 12)97.05.4
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]98.76 ± 3.05 (n = 12)98.83.1
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]496.28 ± 14.79 (n = 12)99.33.0
\", \"cells\": [{\"cell\": \"Matrix\", \"bbox\": [42, 5, 71, 16]}, {\"cell\": \"LOD\", \"bbox\": [119, 5, 141, 16]}, {\"cell\": \"Level\", \"bbox\": [159, 5, 184, 16]}, {\"cell\": \"Measured\", \"bbox\": [227, 5, 270, 16]}, {\"cell\": \"Recovery (%)\", \"bbox\": [312, 5, 368, 16]}, {\"cell\": \"RSD%\", \"bbox\": [385, 5, 414, 16]}, {\"cell\": \"Blood (μg/L)\", \"bbox\": [29, 21, 84, 32]}, {\"cell\": \"0.45\", \"bbox\": [121, 21, 139, 32]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [168, 21, 175, 32]}, {\"cell\": \"4.87 ± 0.42 (n = 54)\", \"bbox\": [210, 21, 287, 32]}, {\"cell\": \"97.4\", \"bbox\": [332, 21, 349, 32]}, {\"cell\": \"4.5\", \"bbox\": [393, 21, 406, 32]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 32, 177, 43]}, {\"cell\": \"49.17 ± 1.58 (n = 54)\", \"bbox\": [208, 32, 289, 43]}, {\"cell\": \"98.3\", \"bbox\": [332, 32, 349, 43]}, {\"cell\": \"3.2\", \"bbox\": [393, 32, 406, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [164, 43, 179, 54]}, {\"cell\": \"151.09 ± 10.21 (n = 54)\", \"bbox\": [203, 43, 294, 54]}, {\"cell\": \"100.7\", \"bbox\": [329, 43, 351, 54]}, {\"cell\": \"6.8\", \"bbox\": [393, 43, 406, 54]}, {\"cell\": \"Vegetable (laver) (μg/kg)\", \"bbox\": [6, 69, 107, 80]}, {\"cell\": \"5.0\", \"bbox\": [123, 59, 137, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 59, 177, 70]}, {\"cell\": \"48.26 ± 2.13 (n = 12)\", \"bbox\": [208, 59, 289, 70]}, {\"cell\": \"96.5\", \"bbox\": [332, 59, 349, 70]}, {\"cell\": \"4.4\", \"bbox\": [393, 59, 406, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"200\", \"bbox\": [164, 70, 179, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 70, 294, 81]}, {\"cell\": \"98.9\", \"bbox\": [332, 70, 349, 81]}, {\"cell\": \"5.5\", \"bbox\": [393, 70, 406, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"500\", \"bbox\": [164, 81, 179, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 81, 294, 92]}, {\"cell\": \"100.6\", \"bbox\": [329, 81, 351, 92]}, {\"cell\": \"3.8\", \"bbox\": [393, 81, 406, 92]}, {\"cell\": \"Soil (μg/kg)\", \"bbox\": [31, 96, 82, 108]}, {\"cell\": \"5\", \"bbox\": [127, 96, 133, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 96, 177, 108]}, {\"cell\": \"49.05 ± 2.97 (n = 12)\", \"bbox\": [208, 96, 289, 108]}, {\"cell\": \"98.1\", \"bbox\": [332, 96, 349, 108]}, {\"cell\": \"6.1\", \"bbox\": [393, 96, 406, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [164, 108, 179, 119]}, {\"cell\": \"198.28 ± 8.75 (n = 12)\", \"bbox\": [206, 108, 292, 119]}, {\"cell\": \"99.1\", \"bbox\": [332, 108, 349, 119]}, {\"cell\": \"4.4\", \"bbox\": [393, 108, 406, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [164, 119, 179, 130]}, {\"cell\": \"495.87 ± 23.22 (n = 12)\", \"bbox\": [203, 119, 294, 130]}, {\"cell\": \"99.2\", \"bbox\": [332, 119, 349, 130]}, {\"cell\": \"4.7\", \"bbox\": [393, 119, 406, 130]}, {\"cell\": \"Water (μg/L)\", \"bbox\": [29, 134, 84, 145]}, {\"cell\": \"2.5\", \"bbox\": [123, 134, 137, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 134, 177, 145]}, {\"cell\": \"19.41 ± 1.06 (n = 12)\", \"bbox\": [208, 134, 289, 145]}, {\"cell\": \"97.0\", \"bbox\": [332, 134, 349, 145]}, {\"cell\": \"5.4\", \"bbox\": [393, 134, 406, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [164, 145, 179, 156]}, {\"cell\": \"98.76 ± 3.05 (n = 12)\", \"bbox\": [208, 145, 289, 156]}, {\"cell\": \"98.8\", \"bbox\": [332, 145, 349, 156]}, {\"cell\": \"3.1\", \"bbox\": [393, 145, 406, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [164, 156, 179, 167]}, {\"cell\": \"496.28 ± 14.79 (n = 12)\", \"bbox\": [203, 156, 294, 167]}, {\"cell\": \"99.3\", \"bbox\": [332, 156, 349, 167]}, {\"cell\": \"3.0\", \"bbox\": [393, 156, 406, 167]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4923998_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Children with a Major Birth DefectChildren without a Birth Defect (Comparison Group)[EMPTY_CELL]
Age PeriodNo. Children at start of age period% Children Admitted1Mean annual LOS per child admitted (days)Admissions per Child AdmittedNo. Children at start of age period% Children Admitted1Mean annual LOS per child admitted (days)Admissions per Child AdmittedRate Ratio Children Admitted (95% CI)2
< = 1 year22,41048.710.72.2[EMPTY_CELL]19.65.41.62.48 (2.45–2.52)
>1–2 years20,05736.86.61.9[EMPTY_CELL]14.94.11.52.46 (2.42–2.51)
>2–3 years18,77728.95.11.8[EMPTY_CELL]11.42.91.42.53 (2.47–2.59)
>3–4 years17,45625.54.61.7[EMPTY_CELL]10.12.51.32.52 (2.45–2.59)
>4–5 years16,12423.04.21.6[EMPTY_CELL]9.32.31.32.46 (2.39–2.54)
>5–12 years7,98351.11.23.0[EMPTY_CELL]31.70.51.81.61 (1.58–1.65)
>12–18 years2,33740.91.62.8[EMPTY_CELL]33.60.81.91.22 (1.16–1.28)
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Children with a Major Birth Defect\", \"bbox\": [92, 4, 211, 14]}, {\"cell\": \"Children without a Birth Defect (Comparison Group)\", \"bbox\": [265, 4, 447, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Age Period\", \"bbox\": [9, 27, 48, 36]}, {\"cell\": \"No. Children at start of age period\", \"bbox\": [59, 27, 98, 64]}, {\"cell\": \"% Children Admitted1\", \"bbox\": [107, 27, 146, 46]}, {\"cell\": \"Mean annual LOS per child admitted (days)\", \"bbox\": [154, 27, 197, 73]}, {\"cell\": \"Admissions per Child Admitted\", \"bbox\": [206, 27, 246, 55]}, {\"cell\": \"No. Children at start of age period\", \"bbox\": [258, 27, 298, 64]}, {\"cell\": \"% Children Admitted1\", \"bbox\": [309, 27, 348, 46]}, {\"cell\": \"Mean annual LOS per child admitted (days)\", \"bbox\": [354, 27, 396, 73]}, {\"cell\": \"Admissions per Child Admitted\", \"bbox\": [406, 27, 445, 55]}, {\"cell\": \"Rate Ratio Children Admitted (95% CI)2\", \"bbox\": [457, 27, 494, 64]}, {\"cell\": \"< = 1 year\", \"bbox\": [11, 86, 48, 96]}, {\"cell\": \"22,410\", \"bbox\": [74, 86, 98, 96]}, {\"cell\": \"48.7\", \"bbox\": [118, 86, 134, 96]}, {\"cell\": \"10.7\", \"bbox\": [168, 86, 184, 96]}, {\"cell\": \"2.2\", \"bbox\": [220, 86, 232, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 86, 298, 96]}, {\"cell\": \"19.6\", \"bbox\": [332, 86, 348, 96]}, {\"cell\": \"5.4\", \"bbox\": [370, 86, 382, 96]}, {\"cell\": \"1.6\", \"bbox\": [420, 86, 432, 96]}, {\"cell\": \"2.48 (2.45–2.52)\", \"bbox\": [456, 86, 495, 105]}, {\"cell\": \">1–2 years\", \"bbox\": [9, 105, 48, 115]}, {\"cell\": \"20,057\", \"bbox\": [74, 105, 98, 115]}, {\"cell\": \"36.8\", \"bbox\": [118, 105, 134, 115]}, {\"cell\": \"6.6\", \"bbox\": [170, 105, 182, 115]}, {\"cell\": \"1.9\", \"bbox\": [220, 105, 232, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 105, 298, 115]}, {\"cell\": \"14.9\", \"bbox\": [332, 105, 348, 115]}, {\"cell\": \"4.1\", \"bbox\": [370, 105, 382, 115]}, {\"cell\": \"1.5\", \"bbox\": [420, 105, 432, 115]}, {\"cell\": \"2.46 (2.42–2.51)\", \"bbox\": [456, 105, 495, 124]}, {\"cell\": \">2–3 years\", \"bbox\": [9, 125, 48, 135]}, {\"cell\": \"18,777\", \"bbox\": [74, 125, 98, 135]}, {\"cell\": \"28.9\", \"bbox\": [118, 125, 134, 135]}, {\"cell\": \"5.1\", \"bbox\": [170, 125, 182, 135]}, {\"cell\": \"1.8\", \"bbox\": [220, 125, 232, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 125, 298, 135]}, {\"cell\": \"11.4\", \"bbox\": [332, 125, 348, 135]}, {\"cell\": \"2.9\", \"bbox\": [370, 125, 382, 135]}, {\"cell\": \"1.4\", \"bbox\": [420, 125, 432, 135]}, {\"cell\": \"2.53 (2.47–2.59)\", \"bbox\": [456, 125, 495, 144]}, {\"cell\": \">3–4 years\", \"bbox\": [9, 144, 48, 154]}, {\"cell\": \"17,456\", \"bbox\": [74, 144, 98, 154]}, {\"cell\": \"25.5\", \"bbox\": [118, 144, 134, 154]}, {\"cell\": \"4.6\", \"bbox\": [170, 144, 182, 154]}, {\"cell\": \"1.7\", \"bbox\": [220, 144, 232, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 144, 298, 154]}, {\"cell\": \"10.1\", \"bbox\": [332, 144, 348, 154]}, {\"cell\": \"2.5\", \"bbox\": [370, 144, 382, 154]}, {\"cell\": \"1.3\", \"bbox\": [420, 144, 432, 154]}, {\"cell\": \"2.52 (2.45–2.59)\", \"bbox\": [456, 144, 495, 163]}, {\"cell\": \">4–5 years\", \"bbox\": [9, 164, 48, 174]}, {\"cell\": \"16,124\", \"bbox\": [74, 164, 98, 174]}, {\"cell\": \"23.0\", \"bbox\": [118, 164, 134, 174]}, {\"cell\": \"4.2\", \"bbox\": [170, 164, 182, 174]}, {\"cell\": \"1.6\", \"bbox\": [220, 164, 232, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 164, 298, 174]}, {\"cell\": \"9.3\", \"bbox\": [336, 164, 348, 174]}, {\"cell\": \"2.3\", \"bbox\": [370, 164, 382, 174]}, {\"cell\": \"1.3\", \"bbox\": [420, 164, 432, 174]}, {\"cell\": \"2.46 (2.39–2.54)\", \"bbox\": [456, 164, 495, 183]}, {\"cell\": \">5–12 years\", \"bbox\": [5, 183, 48, 193]}, {\"cell\": \"7,983\", \"bbox\": [78, 183, 98, 193]}, {\"cell\": \"51.1\", \"bbox\": [118, 183, 134, 193]}, {\"cell\": \"1.2\", \"bbox\": [170, 183, 182, 193]}, {\"cell\": \"3.0\", \"bbox\": [220, 183, 232, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 183, 298, 193]}, {\"cell\": \"31.7\", \"bbox\": [332, 183, 348, 193]}, {\"cell\": \"0.5\", \"bbox\": [370, 183, 382, 193]}, {\"cell\": \"1.8\", \"bbox\": [420, 183, 432, 193]}, {\"cell\": \"1.61 (1.58–1.65)\", \"bbox\": [456, 183, 495, 202]}, {\"cell\": \">12–18 years\", \"bbox\": [21, 203, 48, 222]}, {\"cell\": \"2,337\", \"bbox\": [78, 203, 98, 213]}, {\"cell\": \"40.9\", \"bbox\": [118, 203, 134, 213]}, {\"cell\": \"1.6\", \"bbox\": [170, 203, 182, 213]}, {\"cell\": \"2.8\", \"bbox\": [220, 203, 232, 213]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [273, 203, 298, 213]}, {\"cell\": \"33.6\", \"bbox\": [332, 203, 348, 213]}, {\"cell\": \"0.8\", \"bbox\": [370, 203, 382, 213]}, {\"cell\": \"1.9\", \"bbox\": [420, 203, 432, 213]}, {\"cell\": \"1.22 (1.16–1.28)\", \"bbox\": [456, 203, 495, 222]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2692976_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Age (y)No abuse n = 28Abuse n = 12p*
[EMPTY_CELL]03577.35 (574.91)3338.21 (590.25)0.24
[EMPTY_CELL]71.24 (0.07)1.21 (0.07)0.27
[EMPTY_CELL]1614.82 (7.32)12.29 (7.95)0.44
[EMPTY_CELL]1627 (21, 31)31 (12, 32)0.70
[EMPTY_CELL]74 (1, 12)8.5 (2, 13)0.47
[EMPTY_CELL]427 (25.93)2 (16.67)0.53
[EMPTY_CELL]427 (25.93)4 (33.33)0.64
[EMPTY_CELL]421.78 (0.09)1.76 (0.06)0.52
[EMPTY_CELL]4526.63 (3.99)28.69 (4.39)0.16
[EMPTY_CELL]4597.43 (10.24)102 (12.02)0.23
[EMPTY_CELL]4582.77 (11.71)85.53 (12.72)0.51
[EMPTY_CELL]45132.92 (18.61)134.72 (18.90)0.78
[EMPTY_CELL]453.84 (0.65)3.70 (0.63)0.53
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Age (y)\", \"bbox\": [222, 4, 249, 13]}, {\"cell\": \"No abuse n = 28\", \"bbox\": [285, 4, 343, 13]}, {\"cell\": \"Abuse n = 12\", \"bbox\": [383, 4, 430, 13]}, {\"cell\": \"p*\", \"bbox\": [472, 4, 482, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 15, 89, 27]}, {\"cell\": \"0\", \"bbox\": [222, 17, 228, 27]}, {\"cell\": \"3577.35 (574.91)\", \"bbox\": [288, 17, 341, 27]}, {\"cell\": \"3338.21 (590.25)\", \"bbox\": [380, 17, 433, 27]}, {\"cell\": \"0.24\", \"bbox\": [470, 17, 484, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 29, 82, 41]}, {\"cell\": \"7\", \"bbox\": [222, 31, 228, 41]}, {\"cell\": \"1.24 (0.07)\", \"bbox\": [297, 31, 331, 41]}, {\"cell\": \"1.21 (0.07)\", \"bbox\": [389, 31, 423, 41]}, {\"cell\": \"0.27\", \"bbox\": [470, 31, 484, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 43, 85, 55]}, {\"cell\": \"16\", \"bbox\": [222, 45, 232, 55]}, {\"cell\": \"14.82 (7.32)\", \"bbox\": [295, 45, 333, 55]}, {\"cell\": \"12.29 (7.95)\", \"bbox\": [387, 45, 425, 55]}, {\"cell\": \"0.44\", \"bbox\": [470, 45, 484, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 57, 110, 69]}, {\"cell\": \"16\", \"bbox\": [222, 59, 232, 69]}, {\"cell\": \"27 (21, 31)\", \"bbox\": [297, 59, 332, 69]}, {\"cell\": \"31 (12, 32)\", \"bbox\": [389, 59, 424, 69]}, {\"cell\": \"0.70\", \"bbox\": [470, 59, 484, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 71, 185, 83]}, {\"cell\": \"7\", \"bbox\": [222, 73, 228, 83]}, {\"cell\": \"4 (1, 12)\", \"bbox\": [300, 73, 328, 83]}, {\"cell\": \"8.5 (2, 13)\", \"bbox\": [390, 73, 423, 83]}, {\"cell\": \"0.47\", \"bbox\": [470, 73, 484, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 85, 88, 97]}, {\"cell\": \"42\", \"bbox\": [222, 87, 232, 97]}, {\"cell\": \"7 (25.93)\", \"bbox\": [300, 87, 329, 97]}, {\"cell\": \"2 (16.67)\", \"bbox\": [392, 87, 421, 97]}, {\"cell\": \"0.53\", \"bbox\": [470, 87, 484, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 99, 52, 111]}, {\"cell\": \"42\", \"bbox\": [222, 101, 232, 111]}, {\"cell\": \"7 (25.93)\", \"bbox\": [300, 101, 329, 111]}, {\"cell\": \"4 (33.33)\", \"bbox\": [392, 101, 421, 111]}, {\"cell\": \"0.64\", \"bbox\": [470, 101, 484, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 113, 79, 125]}, {\"cell\": \"42\", \"bbox\": [222, 115, 232, 125]}, {\"cell\": \"1.78 (0.09)\", \"bbox\": [297, 115, 331, 125]}, {\"cell\": \"1.76 (0.06)\", \"bbox\": [389, 115, 423, 125]}, {\"cell\": \"0.52\", \"bbox\": [470, 115, 484, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 127, 76, 139]}, {\"cell\": \"45\", \"bbox\": [222, 129, 232, 139]}, {\"cell\": \"26.63 (3.99)\", \"bbox\": [295, 129, 333, 139]}, {\"cell\": \"28.69 (4.39)\", \"bbox\": [387, 129, 425, 139]}, {\"cell\": \"0.16\", \"bbox\": [470, 129, 484, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 143, 119, 153]}, {\"cell\": \"45\", \"bbox\": [222, 143, 232, 153]}, {\"cell\": \"97.43 (10.24)\", \"bbox\": [293, 143, 335, 153]}, {\"cell\": \"102 (12.02)\", \"bbox\": [388, 143, 425, 153]}, {\"cell\": \"0.23\", \"bbox\": [470, 143, 484, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 157, 144, 167]}, {\"cell\": \"45\", \"bbox\": [222, 157, 232, 167]}, {\"cell\": \"82.77 (11.71)\", \"bbox\": [293, 157, 335, 167]}, {\"cell\": \"85.53 (12.72)\", \"bbox\": [386, 157, 427, 167]}, {\"cell\": \"0.51\", \"bbox\": [470, 157, 484, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 171, 141, 181]}, {\"cell\": \"45\", \"bbox\": [222, 171, 232, 181]}, {\"cell\": \"132.92 (18.61)\", \"bbox\": [291, 171, 337, 181]}, {\"cell\": \"134.72 (18.90)\", \"bbox\": [384, 171, 429, 181]}, {\"cell\": \"0.78\", \"bbox\": [470, 171, 484, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 183, 62, 195]}, {\"cell\": \"45\", \"bbox\": [222, 185, 232, 195]}, {\"cell\": \"3.84 (0.65)\", \"bbox\": [297, 185, 331, 195]}, {\"cell\": \"3.70 (0.63)\", \"bbox\": [389, 185, 423, 195]}, {\"cell\": \"0.53\", \"bbox\": [470, 185, 484, 195]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4007631_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
StudypCR, n (%)LRDRDFSOS
Overall event/eventRRPowerOverall event/eventRRPowerOverall event/eventRRPowerOverall event/eventRRPower
Caudle 2012 [19]124 (20.8)37/30.340.605[EMPTY_CELL]NANANANANANANANA
Bonadonna 2002 [20]7 (3.3)8/01.520.106[EMPTY_CELL]NANANANANANANANA
Fastner 2014 [17]15 (14.0)6/00.450.247[EMPTY_CELL]NANANANANANANANA
Noh 2014 [25]a102 (39.2)13/20.280.476[EMPTY_CELL]0.090.91155/30.0919/00.080.751
Shen 2004 [16]a4 (12.1)5/00.550.195[EMPTY_CELL]0.320.345NANANANANANA
Cho 2013 [22]38 (30.6)6/00.170.482[EMPTY_CELL]0.150.72321/10.110.89715/40.820.066
Jimbo 2014 [21]63 (32.5)5/21.390.065[EMPTY_CELL]NANANANANANANANA
Yamazaki 2015 [26]a56 (25.8)14/62.160.276[EMPTY_CELL]NANANANANANANANA
Rouzier 2001 [10]28 (10.9)41/20.420.328[EMPTY_CELL]0.490.441NANANANANANA
Mclntosh 2003 [18]18 (40.9)1/00.470.138[EMPTY_CELL]NANANANANANANANA
Beriwal 2006 [24]a37 (24.2)21/40.740.095[EMPTY_CELL]NANANANANANANANA
total492 (22.4)157/190.590.933[EMPTY_CELL]0.27176/40.09124/40.360.589
\", \"cells\": [{\"cell\": \"Study\", \"bbox\": [1, 4, 21, 13]}, {\"cell\": \"pCR, n (%)\", \"bbox\": [68, 4, 90, 22]}, {\"cell\": \"LR\", \"bbox\": [105, 4, 114, 13]}, {\"cell\": \"DR\", \"bbox\": [201, 4, 212, 13]}, {\"cell\": \"DFS\", \"bbox\": [296, 4, 311, 13]}, {\"cell\": \"OS\", \"bbox\": [392, 4, 403, 13]}, {\"cell\": \"Overall event/event\", \"bbox\": [105, 17, 152, 36]}, {\"cell\": \"RR\", \"bbox\": [156, 17, 166, 27]}, {\"cell\": \"Power\", \"bbox\": [174, 17, 197, 27]}, {\"cell\": \"Overall event/event\", \"bbox\": [201, 17, 248, 36]}, {\"cell\": \"RR\", \"bbox\": [252, 17, 262, 27]}, {\"cell\": \"Power\", \"bbox\": [270, 17, 293, 27]}, {\"cell\": \"Overall event/event\", \"bbox\": [296, 17, 344, 36]}, {\"cell\": \"RR\", \"bbox\": [348, 17, 358, 27]}, {\"cell\": \"Power\", \"bbox\": [366, 17, 388, 27]}, {\"cell\": \"Overall event/event\", \"bbox\": [392, 17, 439, 36]}, {\"cell\": \"RR\", \"bbox\": [443, 17, 453, 27]}, {\"cell\": \"Power\", \"bbox\": [462, 17, 484, 27]}, {\"cell\": \"Caudle 2012 [19]\", \"bbox\": [0, 39, 56, 49]}, {\"cell\": \"124 (20.8)\", \"bbox\": [68, 39, 101, 49]}, {\"cell\": \"37/3\", \"bbox\": [105, 39, 121, 49]}, {\"cell\": \"0.34\", \"bbox\": [156, 39, 170, 49]}, {\"cell\": \"0.605\", \"bbox\": [174, 39, 193, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 39, 212, 49]}, {\"cell\": \"NA\", \"bbox\": [252, 39, 263, 49]}, {\"cell\": \"NA\", \"bbox\": [270, 39, 282, 49]}, {\"cell\": \"NA\", \"bbox\": [296, 39, 308, 49]}, {\"cell\": \"NA\", \"bbox\": [348, 39, 359, 49]}, {\"cell\": \"NA\", \"bbox\": [366, 39, 378, 49]}, {\"cell\": \"NA\", \"bbox\": [392, 39, 404, 49]}, {\"cell\": \"NA\", \"bbox\": [443, 39, 455, 49]}, {\"cell\": \"NA\", \"bbox\": [462, 39, 474, 49]}, {\"cell\": \"Bonadonna 2002 [20]\", \"bbox\": [0, 53, 57, 72]}, {\"cell\": \"7 (3.3)\", \"bbox\": [68, 53, 89, 63]}, {\"cell\": \"8/0\", \"bbox\": [105, 53, 117, 63]}, {\"cell\": \"1.52\", \"bbox\": [156, 53, 170, 63]}, {\"cell\": \"0.106\", \"bbox\": [174, 53, 193, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 53, 212, 63]}, {\"cell\": \"NA\", \"bbox\": [252, 53, 263, 63]}, {\"cell\": \"NA\", \"bbox\": [270, 53, 282, 63]}, {\"cell\": \"NA\", \"bbox\": [296, 53, 308, 63]}, {\"cell\": \"NA\", \"bbox\": [348, 53, 359, 63]}, {\"cell\": \"NA\", \"bbox\": [366, 53, 378, 63]}, {\"cell\": \"NA\", \"bbox\": [392, 53, 404, 63]}, {\"cell\": \"NA\", \"bbox\": [443, 53, 455, 63]}, {\"cell\": \"NA\", \"bbox\": [462, 53, 474, 63]}, {\"cell\": \"Fastner 2014 [17]\", \"bbox\": [1, 76, 57, 86]}, {\"cell\": \"15 (14.0)\", \"bbox\": [68, 76, 97, 86]}, {\"cell\": \"6/0\", \"bbox\": [105, 76, 117, 86]}, {\"cell\": \"0.45\", \"bbox\": [156, 76, 170, 86]}, {\"cell\": \"0.247\", \"bbox\": [174, 76, 193, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 76, 212, 86]}, {\"cell\": \"NA\", \"bbox\": [252, 76, 263, 86]}, {\"cell\": \"NA\", \"bbox\": [270, 76, 282, 86]}, {\"cell\": \"NA\", \"bbox\": [296, 76, 308, 86]}, {\"cell\": \"NA\", \"bbox\": [348, 76, 359, 86]}, {\"cell\": \"NA\", \"bbox\": [366, 76, 378, 86]}, {\"cell\": \"NA\", \"bbox\": [392, 76, 404, 86]}, {\"cell\": \"NA\", \"bbox\": [443, 76, 455, 86]}, {\"cell\": \"NA\", \"bbox\": [462, 76, 474, 86]}, {\"cell\": \"Noh 2014 [25]a\", \"bbox\": [1, 89, 51, 100]}, {\"cell\": \"102 (39.2)\", \"bbox\": [68, 90, 101, 100]}, {\"cell\": \"13/2\", \"bbox\": [105, 90, 121, 100]}, {\"cell\": \"0.28\", \"bbox\": [156, 90, 170, 100]}, {\"cell\": \"0.476\", \"bbox\": [174, 90, 193, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 90, 217, 100]}, {\"cell\": \"0.09\", \"bbox\": [252, 90, 266, 100]}, {\"cell\": \"0.911\", \"bbox\": [270, 90, 289, 100]}, {\"cell\": \"55/3\", \"bbox\": [296, 90, 313, 100]}, {\"cell\": \"0.09\", \"bbox\": [348, 90, 362, 100]}, {\"cell\": \"1\", \"bbox\": [366, 90, 372, 100]}, {\"cell\": \"9/0\", \"bbox\": [392, 90, 405, 100]}, {\"cell\": \"0.08\", \"bbox\": [443, 90, 458, 100]}, {\"cell\": \"0.751\", \"bbox\": [462, 90, 481, 100]}, {\"cell\": \"Shen 2004 [16]a\", \"bbox\": [1, 103, 53, 114]}, {\"cell\": \"4 (12.1)\", \"bbox\": [68, 104, 93, 114]}, {\"cell\": \"5/0\", \"bbox\": [105, 104, 117, 114]}, {\"cell\": \"0.55\", \"bbox\": [156, 104, 170, 114]}, {\"cell\": \"0.195\", \"bbox\": [174, 104, 193, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 104, 213, 114]}, {\"cell\": \"0.32\", \"bbox\": [252, 104, 266, 114]}, {\"cell\": \"0.345\", \"bbox\": [270, 104, 289, 114]}, {\"cell\": \"NA\", \"bbox\": [296, 104, 308, 114]}, {\"cell\": \"NA\", \"bbox\": [348, 104, 359, 114]}, {\"cell\": \"NA\", \"bbox\": [366, 104, 378, 114]}, {\"cell\": \"NA\", \"bbox\": [392, 104, 404, 114]}, {\"cell\": \"NA\", \"bbox\": [443, 104, 455, 114]}, {\"cell\": \"NA\", \"bbox\": [462, 104, 474, 114]}, {\"cell\": \"Cho 2013 [22]\", \"bbox\": [1, 118, 47, 128]}, {\"cell\": \"38 (30.6)\", \"bbox\": [68, 118, 97, 128]}, {\"cell\": \"6/0\", \"bbox\": [105, 118, 117, 128]}, {\"cell\": \"0.17\", \"bbox\": [156, 118, 170, 128]}, {\"cell\": \"0.482\", \"bbox\": [174, 118, 193, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 118, 217, 128]}, {\"cell\": \"0.15\", \"bbox\": [252, 118, 266, 128]}, {\"cell\": \"0.723\", \"bbox\": [270, 118, 289, 128]}, {\"cell\": \"21/1\", \"bbox\": [296, 118, 313, 128]}, {\"cell\": \"0.11\", \"bbox\": [348, 118, 362, 128]}, {\"cell\": \"0.897\", \"bbox\": [366, 118, 385, 128]}, {\"cell\": \"15/4\", \"bbox\": [392, 118, 409, 128]}, {\"cell\": \"0.82\", \"bbox\": [443, 118, 458, 128]}, {\"cell\": \"0.066\", \"bbox\": [462, 118, 481, 128]}, {\"cell\": \"Jimbo 2014 [21]\", \"bbox\": [1, 132, 54, 142]}, {\"cell\": \"63 (32.5)\", \"bbox\": [68, 132, 97, 142]}, {\"cell\": \"5/2\", \"bbox\": [105, 132, 117, 142]}, {\"cell\": \"1.39\", \"bbox\": [156, 132, 170, 142]}, {\"cell\": \"0.065\", \"bbox\": [174, 132, 193, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 132, 212, 142]}, {\"cell\": \"NA\", \"bbox\": [252, 132, 263, 142]}, {\"cell\": \"NA\", \"bbox\": [270, 132, 282, 142]}, {\"cell\": \"NA\", \"bbox\": [296, 132, 308, 142]}, {\"cell\": \"NA\", \"bbox\": [348, 132, 359, 142]}, {\"cell\": \"NA\", \"bbox\": [366, 132, 378, 142]}, {\"cell\": \"NA\", \"bbox\": [392, 132, 404, 142]}, {\"cell\": \"NA\", \"bbox\": [443, 132, 455, 142]}, {\"cell\": \"NA\", \"bbox\": [462, 132, 474, 142]}, {\"cell\": \"Yamazaki 2015 [26]a\", \"bbox\": [1, 146, 50, 165]}, {\"cell\": \"56 (25.8)\", \"bbox\": [68, 146, 97, 156]}, {\"cell\": \"14/6\", \"bbox\": [105, 146, 121, 156]}, {\"cell\": \"2.16\", \"bbox\": [156, 146, 170, 156]}, {\"cell\": \"0.276\", \"bbox\": [174, 146, 193, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 146, 212, 156]}, {\"cell\": \"NA\", \"bbox\": [252, 146, 263, 156]}, {\"cell\": \"NA\", \"bbox\": [270, 146, 282, 156]}, {\"cell\": \"NA\", \"bbox\": [296, 146, 308, 156]}, {\"cell\": \"NA\", \"bbox\": [348, 146, 359, 156]}, {\"cell\": \"NA\", \"bbox\": [366, 146, 378, 156]}, {\"cell\": \"NA\", \"bbox\": [392, 146, 404, 156]}, {\"cell\": \"NA\", \"bbox\": [443, 146, 455, 156]}, {\"cell\": \"NA\", \"bbox\": [462, 146, 474, 156]}, {\"cell\": \"Rouzier 2001 [10]\", \"bbox\": [1, 169, 58, 179]}, {\"cell\": \"28 (10.9)\", \"bbox\": [68, 169, 97, 179]}, {\"cell\": \"41/2\", \"bbox\": [105, 169, 121, 179]}, {\"cell\": \"0.42\", \"bbox\": [156, 169, 170, 179]}, {\"cell\": \"0.328\", \"bbox\": [174, 169, 193, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 169, 217, 179]}, {\"cell\": \"0.49\", \"bbox\": [252, 169, 266, 179]}, {\"cell\": \"0.441\", \"bbox\": [270, 169, 289, 179]}, {\"cell\": \"NA\", \"bbox\": [296, 169, 308, 179]}, {\"cell\": \"NA\", \"bbox\": [348, 169, 359, 179]}, {\"cell\": \"NA\", \"bbox\": [366, 169, 378, 179]}, {\"cell\": \"NA\", \"bbox\": [392, 169, 404, 179]}, {\"cell\": \"NA\", \"bbox\": [443, 169, 455, 179]}, {\"cell\": \"NA\", \"bbox\": [462, 169, 474, 179]}, {\"cell\": \"Mclntosh 2003 [18]\", \"bbox\": [1, 183, 64, 193]}, {\"cell\": \"18 (40.9)\", \"bbox\": [68, 183, 97, 193]}, {\"cell\": \"1/0\", \"bbox\": [105, 183, 117, 193]}, {\"cell\": \"0.47\", \"bbox\": [156, 183, 170, 193]}, {\"cell\": \"0.138\", \"bbox\": [174, 183, 193, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 183, 212, 193]}, {\"cell\": \"NA\", \"bbox\": [252, 183, 263, 193]}, {\"cell\": \"NA\", \"bbox\": [270, 183, 282, 193]}, {\"cell\": \"NA\", \"bbox\": [296, 183, 308, 193]}, {\"cell\": \"NA\", \"bbox\": [348, 183, 359, 193]}, {\"cell\": \"NA\", \"bbox\": [366, 183, 378, 193]}, {\"cell\": \"NA\", \"bbox\": [392, 183, 404, 193]}, {\"cell\": \"NA\", \"bbox\": [443, 183, 455, 193]}, {\"cell\": \"NA\", \"bbox\": [462, 183, 474, 193]}, {\"cell\": \"Beriwal 2006 [24]a\", \"bbox\": [1, 196, 60, 207]}, {\"cell\": \"37 (24.2)\", \"bbox\": [68, 197, 97, 207]}, {\"cell\": \"21/4\", \"bbox\": [105, 197, 121, 207]}, {\"cell\": \"0.74\", \"bbox\": [156, 197, 170, 207]}, {\"cell\": \"0.095\", \"bbox\": [174, 197, 193, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 197, 212, 207]}, {\"cell\": \"NA\", \"bbox\": [252, 197, 263, 207]}, {\"cell\": \"NA\", \"bbox\": [270, 197, 282, 207]}, {\"cell\": \"NA\", \"bbox\": [296, 197, 308, 207]}, {\"cell\": \"NA\", \"bbox\": [348, 197, 359, 207]}, {\"cell\": \"NA\", \"bbox\": [366, 197, 378, 207]}, {\"cell\": \"NA\", \"bbox\": [392, 197, 404, 207]}, {\"cell\": \"NA\", \"bbox\": [443, 197, 455, 207]}, {\"cell\": \"NA\", \"bbox\": [462, 197, 474, 207]}, {\"cell\": \"total\", \"bbox\": [1, 211, 17, 221]}, {\"cell\": \"492 (22.4)\", \"bbox\": [68, 211, 101, 221]}, {\"cell\": \"157/19\", \"bbox\": [105, 211, 128, 221]}, {\"cell\": \"0.59\", \"bbox\": [156, 211, 170, 221]}, {\"cell\": \"0.933\", \"bbox\": [174, 211, 193, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 211, 221, 221]}, {\"cell\": \"0.27\", \"bbox\": [252, 211, 266, 221]}, {\"cell\": \"1\", \"bbox\": [270, 211, 276, 221]}, {\"cell\": \"76/4\", \"bbox\": [296, 211, 313, 221]}, {\"cell\": \"0.09\", \"bbox\": [348, 211, 362, 221]}, {\"cell\": \"1\", \"bbox\": [366, 211, 372, 221]}, {\"cell\": \"24/4\", \"bbox\": [392, 211, 409, 221]}, {\"cell\": \"0.36\", \"bbox\": [443, 211, 458, 221]}, {\"cell\": \"0.589\", \"bbox\": [462, 211, 481, 221]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5706340_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
PopulationSpeciesCollection site; (State / Province); countryTPE repeatsMethod used to obtain the number of repetitions of TPE
1D. melanogasterRio de Janeiro; (RJ); Brazil[EMPTY_CELL]Sequencing
2D. melanogasterErechim; (RS); Brazil[EMPTY_CELL]Sequencing and PAGE
3D. melanogasterSão José do Rio Preto; (SP); Brazil[EMPTY_CELL]PAGE
4D. melanogasterSão José do Rio Preto; (SP); Brazil[EMPTY_CELL]PAGE
5D. melanogasterSão José do Rio Preto; (SP); Brazil[EMPTY_CELL]Sequencing and PAGE
6D. melanogasterSanta Maria; (RS); Brazil[EMPTY_CELL]Sequencing
7D. melanogasterPorto Alegre; (RS); Brazil[EMPTY_CELL]Sequencing and PAGE
8D. melanogasterRio Grande; (RS); Brazil[EMPTY_CELL]Sequencing and PAGE
9D. melanogasterTangará da Serra; (MT); Brazil[EMPTY_CELL]Sequencing and PAGE
10D. melanogasterJari; (RS); Brazil[EMPTY_CELL]Sequencing and PAGE
11D. melanogasterSerra da Capivara; (PI); Brazil[EMPTY_CELL]Sequencing
12D. melanogasterManaus; (AM); Brazil[EMPTY_CELL]Sequencing and PAGE
13D. melanogasterFernando de Noronha; (PE); Brazil[EMPTY_CELL]Sequencing
14D. melanogasterFernando de Noronha; (PE); Brazil[EMPTY_CELL]Sequencing
15D. melanogasterRecife; (PE); Brazil[EMPTY_CELL]Sequencing
16D. melanogasterIlha Governador; (RJ); Brazil[EMPTY_CELL]Sequencing
17D. melanogasterSanta Teresa; (RJ); Brazil[EMPTY_CELL]Sequencing
18D. melanogasterVenezuela[EMPTY_CELL]Sequencing
19D. melanogasterVienna; Austria[EMPTY_CELL]Sequencing and PAGE
20D. melanogasterAthens; (Attica); Greece[EMPTY_CELL]Sequencing and PAGE
21D. melanogasterPrunay; (Marne); France[EMPTY_CELL]Sequencing and PAGE
22D. melanogasterLa Broche; (Upper Normandy); France[EMPTY_CELL]Sequencing and PAGE
23D. simulansEldorado do Sul; (RS); Brazil[EMPTY_CELL]PAGE
24D. simulansFarrapos; (Río Negro); Uruguay[EMPTY_CELL]PAGE
25D. simulansFernando de Noronha; (PE); Brazil[EMPTY_CELL]PAGE
26D. simulansSanta Maria; (RS); Brazil[EMPTY_CELL]PAGE
27D. simulansLima; (Lima); Peru[EMPTY_CELL]PAGE
28D. simulansHavaí; (HI); United States[EMPTY_CELL]PAGE
29D. simulansRio de Janeiro; (RJ); Brazil[EMPTY_CELL]PAGE
\", \"cells\": [{\"cell\": \"Population\", \"bbox\": [2, 7, 39, 16]}, {\"cell\": \"Species\", \"bbox\": [44, 7, 71, 16]}, {\"cell\": \"Collection site; (State / Province); country\", \"bbox\": [114, 7, 251, 16]}, {\"cell\": \"TPE repeats\", \"bbox\": [295, 7, 336, 16]}, {\"cell\": \"Method used to obtain the number of repetitions of TPE\", \"bbox\": [360, 7, 481, 25]}, {\"cell\": \"1\", \"bbox\": [2, 32, 8, 41]}, {\"cell\": \"D. melanogaster\", \"bbox\": [44, 32, 100, 41]}, {\"cell\": \"Rio de Janeiro; (RJ); Brazil\", \"bbox\": [114, 32, 204, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 32, 318, 41]}, {\"cell\": \"Sequencing\", \"bbox\": [401, 32, 440, 41]}, {\"cell\": \"2\", \"bbox\": [2, 45, 8, 55]}, {\"cell\": \"D. melanogaster\", \"bbox\": [44, 46, 100, 55]}, {\"cell\": \"Erechim; (RS); Brazil\", \"bbox\": [114, 45, 186, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 45, 318, 55]}, {\"cell\": \"Sequencing and PAGE\", \"bbox\": [383, 45, 458, 55]}, {\"cell\": \"3\", \"bbox\": [2, 59, 8, 68]}, {\"cell\": \"D. melanogaster\", \"bbox\": [44, 59, 100, 68]}, {\"cell\": \"São José do Rio Preto; (SP); Brazil\", \"bbox\": [114, 59, 228, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 59, 318, 68]}, {\"cell\": \"PAGE\", \"bbox\": [409, 59, 432, 68]}, {\"cell\": \"4\", \"bbox\": [2, 73, 8, 82]}, {\"cell\": \"D. melanogaster\", \"bbox\": [44, 73, 100, 82]}, {\"cell\": \"São José do Rio Preto; (SP); Brazil\", \"bbox\": [114, 73, 228, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 73, 318, 82]}, {\"cell\": \"PAGE\", \"bbox\": [409, 73, 432, 82]}, {\"cell\": \"5\", \"bbox\": [2, 86, 8, 95]}, {\"cell\": \"D. melanogaster\", \"bbox\": [44, 86, 100, 95]}, {\"cell\": \"São José do Rio Preto; (SP); Brazil\", \"bbox\": [114, 86, 228, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 86, 318, 95]}, {\"cell\": \"Sequencing and PAGE\", \"bbox\": [383, 86, 458, 95]}, {\"cell\": \"6\", \"bbox\": [2, 100, 8, 109]}, {\"cell\": \"D. melanogaster\", \"bbox\": [44, 100, 100, 109]}, {\"cell\": \"Santa Maria; (RS); Brazil\", \"bbox\": [114, 100, 198, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 100, 318, 109]}, {\"cell\": \"Sequencing\", \"bbox\": [401, 100, 440, 109]}, {\"cell\": \"7\", \"bbox\": [2, 113, 8, 123]}, {\"cell\": \"D. melanogaster\", \"bbox\": [44, 114, 100, 123]}, {\"cell\": \"Porto Alegre; (RS); Brazil\", \"bbox\": [114, 113, 200, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 113, 318, 123]}, {\"cell\": \"Sequencing and PAGE\", \"bbox\": [383, 113, 458, 123]}, {\"cell\": \"8\", \"bbox\": [2, 127, 8, 136]}, {\"cell\": \"D. melanogaster\", \"bbox\": [44, 127, 100, 136]}, {\"cell\": \"Rio Grande; (RS); Brazil\", \"bbox\": [114, 127, 196, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 127, 318, 136]}, {\"cell\": \"Sequencing and PAGE\", \"bbox\": [383, 127, 458, 136]}, {\"cell\": \"9\", \"bbox\": [2, 140, 8, 150]}, {\"cell\": \"D. melanogaster\", \"bbox\": [44, 141, 100, 150]}, {\"cell\": \"Tangará da Serra; (MT); Brazil\", \"bbox\": [114, 140, 216, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 140, 318, 150]}, {\"cell\": \"Sequencing and PAGE\", \"bbox\": [383, 140, 458, 150]}, {\"cell\": \"10\", \"bbox\": [2, 154, 12, 163]}, {\"cell\": \"D. melanogaster\", \"bbox\": [44, 154, 100, 163]}, {\"cell\": \"Jari; (RS); Brazil\", \"bbox\": [114, 154, 171, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 154, 318, 163]}, {\"cell\": \"Sequencing and PAGE\", \"bbox\": [383, 154, 458, 163]}, {\"cell\": \"11\", \"bbox\": [2, 168, 12, 177]}, {\"cell\": \"D. melanogaster\", \"bbox\": [44, 168, 100, 177]}, {\"cell\": \"Serra da Capivara; (PI); Brazil\", \"bbox\": [114, 168, 214, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 168, 318, 177]}, {\"cell\": \"Sequencing\", \"bbox\": [401, 168, 440, 177]}, {\"cell\": \"12\", \"bbox\": [2, 181, 12, 191]}, {\"cell\": \"D. melanogaster\", \"bbox\": [44, 182, 100, 191]}, {\"cell\": \"Manaus; (AM); Brazil\", \"bbox\": [114, 181, 188, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 181, 318, 191]}, {\"cell\": \"Sequencing and PAGE\", \"bbox\": [383, 181, 458, 191]}, {\"cell\": \"13\", \"bbox\": [2, 195, 12, 204]}, {\"cell\": \"D. melanogaster\", \"bbox\": [44, 195, 100, 204]}, {\"cell\": \"Fernando de Noronha; (PE); Brazil\", \"bbox\": [114, 195, 228, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 195, 318, 204]}, {\"cell\": \"Sequencing\", \"bbox\": [401, 195, 440, 204]}, {\"cell\": \"14\", \"bbox\": [2, 208, 12, 218]}, {\"cell\": \"D. melanogaster\", \"bbox\": [44, 209, 100, 218]}, {\"cell\": \"Fernando de Noronha; (PE); Brazil\", \"bbox\": [114, 208, 228, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 208, 318, 218]}, {\"cell\": \"Sequencing\", \"bbox\": [401, 208, 440, 218]}, {\"cell\": \"15\", \"bbox\": [2, 222, 12, 231]}, {\"cell\": \"D. melanogaster\", \"bbox\": [44, 222, 100, 231]}, {\"cell\": \"Recife; (PE); Brazil\", \"bbox\": [114, 222, 180, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 222, 318, 231]}, {\"cell\": \"Sequencing\", \"bbox\": [401, 222, 440, 231]}, {\"cell\": \"16\", \"bbox\": [2, 236, 12, 245]}, {\"cell\": \"D. melanogaster\", \"bbox\": [44, 236, 100, 245]}, {\"cell\": \"Ilha Governador; (RJ); Brazil\", \"bbox\": [114, 236, 210, 245]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 236, 318, 245]}, {\"cell\": \"Sequencing\", \"bbox\": [401, 236, 440, 245]}, {\"cell\": \"17\", \"bbox\": [2, 249, 12, 259]}, {\"cell\": \"D. melanogaster\", \"bbox\": [44, 249, 100, 259]}, {\"cell\": \"Santa Teresa; (RJ); Brazil\", \"bbox\": [114, 249, 199, 259]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 249, 318, 259]}, {\"cell\": \"Sequencing\", \"bbox\": [401, 249, 440, 259]}, {\"cell\": \"18\", \"bbox\": [2, 263, 12, 272]}, {\"cell\": \"D. melanogaster\", \"bbox\": [44, 263, 100, 272]}, {\"cell\": \"Venezuela\", \"bbox\": [114, 263, 150, 272]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 263, 318, 272]}, {\"cell\": \"Sequencing\", \"bbox\": [401, 263, 440, 272]}, {\"cell\": \"19\", \"bbox\": [2, 276, 12, 286]}, {\"cell\": \"D. melanogaster\", \"bbox\": [44, 277, 100, 286]}, {\"cell\": \"Vienna; Austria\", \"bbox\": [114, 276, 167, 286]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 276, 318, 286]}, {\"cell\": \"Sequencing and PAGE\", \"bbox\": [383, 276, 458, 286]}, {\"cell\": \"20\", \"bbox\": [2, 290, 12, 299]}, {\"cell\": \"D. melanogaster\", \"bbox\": [44, 290, 100, 299]}, {\"cell\": \"Athens; (Attica); Greece\", \"bbox\": [114, 290, 195, 299]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 290, 318, 299]}, {\"cell\": \"Sequencing and PAGE\", \"bbox\": [383, 290, 458, 299]}, {\"cell\": \"21\", \"bbox\": [2, 304, 12, 313]}, {\"cell\": \"D. melanogaster\", \"bbox\": [44, 304, 100, 313]}, {\"cell\": \"Prunay; (Marne); France\", \"bbox\": [114, 304, 195, 313]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 304, 318, 313]}, {\"cell\": \"Sequencing and PAGE\", \"bbox\": [383, 304, 458, 313]}, {\"cell\": \"22\", \"bbox\": [2, 317, 12, 327]}, {\"cell\": \"D. melanogaster\", \"bbox\": [44, 317, 100, 327]}, {\"cell\": \"La Broche; (Upper Normandy); France\", \"bbox\": [114, 317, 241, 327]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 317, 318, 327]}, {\"cell\": \"Sequencing and PAGE\", \"bbox\": [383, 317, 458, 327]}, {\"cell\": \"23\", \"bbox\": [2, 331, 12, 340]}, {\"cell\": \"D. simulans\", \"bbox\": [44, 331, 85, 340]}, {\"cell\": \"Eldorado do Sul; (RS); Brazil\", \"bbox\": [114, 331, 211, 340]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 331, 318, 340]}, {\"cell\": \"PAGE\", \"bbox\": [409, 331, 432, 340]}, {\"cell\": \"24\", \"bbox\": [2, 344, 12, 354]}, {\"cell\": \"D. simulans\", \"bbox\": [44, 345, 85, 354]}, {\"cell\": \"Farrapos; (Río Negro); Uruguay\", \"bbox\": [114, 344, 219, 354]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 344, 318, 354]}, {\"cell\": \"PAGE\", \"bbox\": [409, 344, 432, 354]}, {\"cell\": \"25\", \"bbox\": [2, 358, 12, 367]}, {\"cell\": \"D. simulans\", \"bbox\": [44, 358, 85, 367]}, {\"cell\": \"Fernando de Noronha; (PE); Brazil\", \"bbox\": [114, 358, 228, 367]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 358, 318, 367]}, {\"cell\": \"PAGE\", \"bbox\": [409, 358, 432, 367]}, {\"cell\": \"26\", \"bbox\": [2, 372, 12, 381]}, {\"cell\": \"D. simulans\", \"bbox\": [44, 372, 85, 381]}, {\"cell\": \"Santa Maria; (RS); Brazil\", \"bbox\": [114, 372, 198, 381]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 372, 318, 381]}, {\"cell\": \"PAGE\", \"bbox\": [409, 372, 432, 381]}, {\"cell\": \"27\", \"bbox\": [2, 385, 12, 394]}, {\"cell\": \"D. simulans\", \"bbox\": [44, 385, 85, 394]}, {\"cell\": \"Lima; (Lima); Peru\", \"bbox\": [114, 385, 178, 394]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 385, 318, 394]}, {\"cell\": \"PAGE\", \"bbox\": [409, 385, 432, 394]}, {\"cell\": \"28\", \"bbox\": [2, 399, 12, 408]}, {\"cell\": \"D. simulans\", \"bbox\": [44, 399, 85, 408]}, {\"cell\": \"Havaí; (HI); United States\", \"bbox\": [114, 399, 200, 408]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 399, 318, 408]}, {\"cell\": \"PAGE\", \"bbox\": [409, 399, 432, 408]}, {\"cell\": \"29\", \"bbox\": [2, 412, 12, 422]}, {\"cell\": \"D. simulans\", \"bbox\": [44, 413, 85, 422]}, {\"cell\": \"Rio de Janeiro; (RJ); Brazil\", \"bbox\": [114, 412, 204, 422]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 412, 318, 422]}, {\"cell\": \"PAGE\", \"bbox\": [409, 412, 432, 422]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4807377_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariableThe BDIChi^2/p
No Depressive SymptomsDepressive SymptomsTotal
n (%) 608 (74.6)n (%) 207 (25.4)n (%) 815 (100)
Genotype
5-HTT gene[EMPTY_CELL]250 (41.1)96 (46.4)346 (42.5)1.760/0.415
l/s[EMPTY_CELL]80 (38.6)340 (41.7)
s/s[EMPTY_CELL]31 (15.0)129 (15.8)
MAO-A gene[EMPTY_CELL]77 (12.7)21 (10.1)98 (12.0)1.394/0.498
3/4[EMPTY_CELL]101 (48.8)374 (45.9)
4/4[EMPTY_CELL]85 (41.1)343 (42.1)
Allele
5-HTT gene[EMPTY_CELL]760 (46.6)272 (16.7)1032 (63.3)1.362/0.243
s[EMPTY_CELL]142 (8.7)598 (36.7)
MAO-A gene[EMPTY_CELL]427 (26.2)143 (8.8)570 (35.0)0.045/0.833
4[EMPTY_CELL]271 (16.6)1060 (65.0)
\", \"cells\": [{\"cell\": \"Variable\", \"bbox\": [47, 26, 81, 36]}, {\"cell\": \"The BDI\", \"bbox\": [233, 5, 268, 15]}, {\"cell\": \"Chi^2/p\", \"bbox\": [391, 25, 421, 35]}, {\"cell\": \"No Depressive Symptoms\", \"bbox\": [135, 19, 194, 40]}, {\"cell\": \"Depressive Symptoms\", \"bbox\": [210, 25, 298, 35]}, {\"cell\": \"Total\", \"bbox\": [330, 25, 351, 35]}, {\"cell\": \"n (%) 608 (74.6)\", \"bbox\": [135, 45, 194, 55]}, {\"cell\": \"n (%) 207 (25.4)\", \"bbox\": [225, 45, 284, 55]}, {\"cell\": \"n (%) 815 (100)\", \"bbox\": [312, 45, 369, 55]}, {\"cell\": \"Genotype\", \"bbox\": [200, 59, 239, 70]}, {\"cell\": \"5-HTT gene\", \"bbox\": [12, 84, 60, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 74, 105, 85]}, {\"cell\": \"250 (41.1)\", \"bbox\": [146, 74, 183, 85]}, {\"cell\": \"96 (46.4)\", \"bbox\": [238, 74, 271, 85]}, {\"cell\": \"346 (42.5)\", \"bbox\": [322, 74, 359, 85]}, {\"cell\": \"1.760/0.415\", \"bbox\": [383, 85, 429, 96]}, {\"cell\": \"l/s\", \"bbox\": [92, 85, 105, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [146, 85, 183, 95]}, {\"cell\": \"80 (38.6)\", \"bbox\": [238, 85, 271, 95]}, {\"cell\": \"340 (41.7)\", \"bbox\": [322, 85, 359, 95]}, {\"cell\": \"s/s\", \"bbox\": [92, 95, 106, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [148, 95, 181, 105]}, {\"cell\": \"31 (15.0)\", \"bbox\": [238, 95, 271, 105]}, {\"cell\": \"129 (15.8)\", \"bbox\": [322, 95, 359, 105]}, {\"cell\": \"MAO-A gene\", \"bbox\": [9, 120, 63, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 110, 106, 120]}, {\"cell\": \"77 (12.7)\", \"bbox\": [148, 110, 181, 120]}, {\"cell\": \"21 (10.1)\", \"bbox\": [238, 110, 271, 120]}, {\"cell\": \"98 (12.0)\", \"bbox\": [324, 110, 357, 120]}, {\"cell\": \"1.394/0.498\", \"bbox\": [383, 121, 429, 131]}, {\"cell\": \"3/4\", \"bbox\": [91, 120, 106, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [146, 120, 183, 131]}, {\"cell\": \"101 (48.8)\", \"bbox\": [236, 120, 273, 131]}, {\"cell\": \"374 (45.9)\", \"bbox\": [322, 120, 359, 131]}, {\"cell\": \"4/4\", \"bbox\": [91, 131, 106, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [146, 131, 183, 141]}, {\"cell\": \"85 (41.1)\", \"bbox\": [238, 131, 271, 141]}, {\"cell\": \"343 (42.1)\", \"bbox\": [322, 131, 359, 141]}, {\"cell\": \"Allele\", \"bbox\": [207, 145, 232, 156]}, {\"cell\": \"5-HTT gene\", \"bbox\": [12, 165, 60, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [96, 160, 101, 171]}, {\"cell\": \"760 (46.6)\", \"bbox\": [146, 160, 183, 171]}, {\"cell\": \"272 (16.7)\", \"bbox\": [236, 160, 273, 171]}, {\"cell\": \"1032 (63.3)\", \"bbox\": [320, 160, 361, 171]}, {\"cell\": \"1.362/0.243\", \"bbox\": [383, 166, 429, 176]}, {\"cell\": \"s\", \"bbox\": [96, 171, 101, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [146, 171, 183, 181]}, {\"cell\": \"142 (8.7)\", \"bbox\": [238, 171, 271, 181]}, {\"cell\": \"598 (36.7)\", \"bbox\": [322, 171, 359, 181]}, {\"cell\": \"MAO-A gene\", \"bbox\": [9, 190, 63, 201]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [96, 185, 102, 196]}, {\"cell\": \"427 (26.2)\", \"bbox\": [146, 185, 183, 196]}, {\"cell\": \"143 (8.8)\", \"bbox\": [238, 185, 271, 196]}, {\"cell\": \"570 (35.0)\", \"bbox\": [322, 185, 359, 196]}, {\"cell\": \"0.045/0.833\", \"bbox\": [384, 191, 429, 202]}, {\"cell\": \"4\", \"bbox\": [96, 196, 102, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [146, 196, 183, 206]}, {\"cell\": \"271 (16.6)\", \"bbox\": [236, 196, 273, 206]}, {\"cell\": \"1060 (65.0)\", \"bbox\": [320, 196, 361, 206]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5923754_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
ClassPattern IPattern IIPattern IIIPattern IVPattern VPattern VI
G1G2G3G4G5G6G7G8G9G10G11G12
+5010051005050550501005050
+5010051005050550510100100
+5010051005050550501005050
+5010051005050550510100100
-100501050100100101001005050100
-1005010501001001010010510050
-100501050100100101001005050100
-1005010501001001010010510050
Background difference between gene pairsNot existExistNot existExistNot existNot exist
Background difference among samplesNot existNot existNot existNot existExistNot exist
Vertical comparisonof individual-gene[EMPTY_CELL]G1 < 75G1 > 75G2 < 75G2 > 75G3 < 7G3 > 7G4 < 75G4 > 75G5 < 75G5 > 75G6 < 75G6 > 75G7 < 7G7 > 7[EMPTY_CELL]G8 > 75G9 < 41G9 > 41G10 < 41G10 > 41G11 < 75G11 > 75G12 < 75G12 > 75
+4004400044040404[EMPTY_CELL]22222222
-044004400404040[EMPTY_CELL]22222222
HighlightYes (χ2 = 4.5*)Yes (χ2 = 4.5*)Yes (χ2 = 4.5*)Yes (χ2 = 4.5*)Yes (χ2 = 4.5*)Yes (χ2 = 4.5*)Yes (χ2 = 4.5*)Yes (χ2 = 4.5*)No (χ2 = 0.5)No (χ2 = 0.5)No (χ2 = 0.5)No (χ2 = 0.5)
Horizontal comparison of pair-wise genes[EMPTY_CELL]G1 > G2G1 < G2G3 > G4G3 < G4G5 > G6G5 < G6G7 > G8G7 < G8G9 > G10G9 < G10G11 > G12G11 < G12
+040422040422
-400422044022
HighlightYes (χ2 = 4.5*)No (χ2 = 0)No (χ2 = 0.5)No (χ2 = 0)Yes (χ2 = 4.5*)No (χ2 = 0.5)
Vertical comparison of pair-wise genes[EMPTY_CELL]G1 < 75 & G2 < 75G1 < 75 &G2 > 75G1 > 75 & G2 < 75G1 > 75 &G2 > 75G3 < 7 & G4 < 75G3 < 7 & G4 > 75G3 > 7 & G4 < 75G3 > 7 & G4 > 75G5 < 75 & G6 < 75G5 < 75 & G6 > 75G5 > 75 & G6 < 75G5 > 75 & G6 > 75G7 < 7 & G8 < 75G7 < 7 & G8 > 75[EMPTY_CELL]G7 > 7 & G8 > 75G9 < 41 & G10 < 41G9 < 41 & G10 > 41G9 > 41 & G10 < 41G9 > 41 & G10 > 41G11 < 75 & G12 < 75G11 < 75 & G12 > 75G11 > 75 & G12 < 75G11 > 75 & G12 > 75
+040004004000040[EMPTY_CELL]20022002
-004000400004000[EMPTY_CELL]20020220
HighlightYes (χ2 = 4.5*)Yes (χ2 = 4.5*)Yes (χ2 = 4.5*)Yes (χ2 = 4.5*)No (χ2 = 0.5)Yes ((χ2 = 8*)
\", \"cells\": [{\"cell\": \"Class\", \"bbox\": [1, 4, 18, 13]}, {\"cell\": \"Pattern I\", \"bbox\": [90, 4, 118, 13]}, {\"cell\": \"Pattern II\", \"bbox\": [187, 4, 217, 13]}, {\"cell\": \"Pattern III\", \"bbox\": [274, 4, 306, 13]}, {\"cell\": \"Pattern IV\", \"bbox\": [363, 4, 396, 13]}, {\"cell\": \"Pattern V\", \"bbox\": [450, 4, 481, 13]}, {\"cell\": \"Pattern VI\", \"bbox\": [547, 4, 580, 13]}, {\"cell\": \"G1\", \"bbox\": [90, 17, 100, 27]}, {\"cell\": \"G2\", \"bbox\": [137, 17, 148, 27]}, {\"cell\": \"G3\", \"bbox\": [187, 17, 198, 27]}, {\"cell\": \"G4\", \"bbox\": [229, 17, 240, 27]}, {\"cell\": \"G5\", \"bbox\": [274, 17, 285, 27]}, {\"cell\": \"G6\", \"bbox\": [318, 17, 328, 27]}, {\"cell\": \"G7\", \"bbox\": [363, 17, 374, 27]}, {\"cell\": \"G8\", \"bbox\": [405, 17, 416, 27]}, {\"cell\": \"G9\", \"bbox\": [450, 17, 461, 27]}, {\"cell\": \"G10\", \"bbox\": [498, 17, 513, 27]}, {\"cell\": \"G11\", \"bbox\": [547, 17, 562, 27]}, {\"cell\": \"G12\", \"bbox\": [596, 17, 611, 27]}, {\"cell\": \"+\", \"bbox\": [1, 30, 7, 40]}, {\"cell\": \"50\", \"bbox\": [90, 30, 99, 40]}, {\"cell\": \"100\", \"bbox\": [137, 30, 151, 40]}, {\"cell\": \"5\", \"bbox\": [187, 30, 193, 40]}, {\"cell\": \"100\", \"bbox\": [229, 30, 243, 40]}, {\"cell\": \"50\", \"bbox\": [274, 30, 284, 40]}, {\"cell\": \"50\", \"bbox\": [318, 30, 327, 40]}, {\"cell\": \"5\", \"bbox\": [363, 30, 369, 40]}, {\"cell\": \"50\", \"bbox\": [405, 30, 415, 40]}, {\"cell\": \"50\", \"bbox\": [450, 30, 460, 40]}, {\"cell\": \"100\", \"bbox\": [498, 30, 512, 40]}, {\"cell\": \"50\", \"bbox\": [547, 30, 557, 40]}, {\"cell\": \"50\", \"bbox\": [596, 30, 606, 40]}, {\"cell\": \"+\", \"bbox\": [1, 44, 7, 54]}, {\"cell\": \"50\", \"bbox\": [90, 44, 99, 54]}, {\"cell\": \"100\", \"bbox\": [137, 44, 151, 54]}, {\"cell\": \"5\", \"bbox\": [187, 44, 193, 54]}, {\"cell\": \"100\", \"bbox\": [229, 44, 243, 54]}, {\"cell\": \"50\", \"bbox\": [274, 44, 284, 54]}, {\"cell\": \"50\", \"bbox\": [318, 44, 327, 54]}, {\"cell\": \"5\", \"bbox\": [363, 44, 369, 54]}, {\"cell\": \"50\", \"bbox\": [405, 44, 415, 54]}, {\"cell\": \"5\", \"bbox\": [450, 44, 456, 54]}, {\"cell\": \"10\", \"bbox\": [498, 44, 508, 54]}, {\"cell\": \"100\", \"bbox\": [547, 44, 561, 54]}, {\"cell\": \"100\", \"bbox\": [596, 44, 610, 54]}, {\"cell\": \"+\", \"bbox\": [1, 58, 7, 68]}, {\"cell\": \"50\", \"bbox\": [90, 58, 99, 68]}, {\"cell\": \"100\", \"bbox\": [137, 58, 151, 68]}, {\"cell\": \"5\", \"bbox\": [187, 58, 193, 68]}, {\"cell\": \"100\", \"bbox\": [229, 58, 243, 68]}, {\"cell\": \"50\", \"bbox\": [274, 58, 284, 68]}, {\"cell\": \"50\", \"bbox\": [318, 58, 327, 68]}, {\"cell\": \"5\", \"bbox\": [363, 58, 369, 68]}, {\"cell\": \"50\", \"bbox\": [405, 58, 415, 68]}, {\"cell\": \"50\", \"bbox\": [450, 58, 460, 68]}, {\"cell\": \"100\", \"bbox\": [498, 58, 512, 68]}, {\"cell\": \"50\", \"bbox\": [547, 58, 557, 68]}, {\"cell\": \"50\", \"bbox\": [596, 58, 606, 68]}, {\"cell\": \"+\", \"bbox\": [1, 72, 7, 82]}, {\"cell\": 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\"100\", \"bbox\": [405, 86, 419, 96]}, {\"cell\": \"100\", \"bbox\": [450, 86, 464, 96]}, {\"cell\": \"50\", \"bbox\": [498, 86, 508, 96]}, {\"cell\": \"50\", \"bbox\": [547, 86, 557, 96]}, {\"cell\": \"100\", \"bbox\": [596, 86, 610, 96]}, {\"cell\": \"-\", \"bbox\": [1, 100, 5, 110]}, {\"cell\": \"100\", \"bbox\": [90, 100, 103, 110]}, {\"cell\": \"50\", \"bbox\": [137, 100, 147, 110]}, {\"cell\": \"10\", \"bbox\": [187, 100, 197, 110]}, {\"cell\": \"50\", \"bbox\": [229, 100, 239, 110]}, {\"cell\": \"100\", \"bbox\": [274, 100, 288, 110]}, {\"cell\": \"100\", \"bbox\": [318, 100, 331, 110]}, {\"cell\": \"10\", \"bbox\": [363, 100, 372, 110]}, {\"cell\": \"100\", \"bbox\": [405, 100, 419, 110]}, {\"cell\": \"10\", \"bbox\": [450, 100, 460, 110]}, {\"cell\": \"5\", \"bbox\": [498, 100, 504, 110]}, {\"cell\": \"100\", \"bbox\": [547, 100, 561, 110]}, {\"cell\": \"50\", \"bbox\": [596, 100, 606, 110]}, {\"cell\": \"-\", \"bbox\": [1, 114, 5, 124]}, {\"cell\": \"100\", \"bbox\": [90, 114, 103, 124]}, {\"cell\": \"50\", \"bbox\": [137, 114, 147, 124]}, {\"cell\": \"10\", \"bbox\": [187, 114, 197, 124]}, {\"cell\": \"50\", \"bbox\": [229, 114, 239, 124]}, {\"cell\": \"100\", \"bbox\": [274, 114, 288, 124]}, {\"cell\": \"100\", \"bbox\": [318, 114, 331, 124]}, {\"cell\": \"10\", \"bbox\": [363, 114, 372, 124]}, {\"cell\": \"100\", \"bbox\": [405, 114, 419, 124]}, {\"cell\": \"100\", \"bbox\": [450, 114, 464, 124]}, {\"cell\": \"50\", \"bbox\": [498, 114, 508, 124]}, {\"cell\": \"50\", \"bbox\": [547, 114, 557, 124]}, {\"cell\": \"100\", \"bbox\": [596, 114, 610, 124]}, {\"cell\": \"-\", \"bbox\": [1, 128, 5, 138]}, {\"cell\": \"100\", \"bbox\": [90, 128, 103, 138]}, {\"cell\": \"50\", \"bbox\": [137, 128, 147, 138]}, {\"cell\": \"10\", \"bbox\": [187, 128, 197, 138]}, {\"cell\": \"50\", \"bbox\": [229, 128, 239, 138]}, {\"cell\": \"100\", \"bbox\": [274, 128, 288, 138]}, {\"cell\": \"100\", \"bbox\": [318, 128, 331, 138]}, {\"cell\": \"10\", \"bbox\": [363, 128, 372, 138]}, {\"cell\": \"100\", \"bbox\": [405, 128, 419, 138]}, {\"cell\": \"10\", \"bbox\": [450, 128, 460, 138]}, {\"cell\": \"5\", \"bbox\": [498, 128, 504, 138]}, {\"cell\": \"100\", \"bbox\": [547, 128, 561, 138]}, {\"cell\": \"50\", \"bbox\": [596, 128, 606, 138]}, {\"cell\": \"Background difference between gene pairs\", \"bbox\": [1, 142, 75, 161]}, {\"cell\": \"Not exist\", \"bbox\": [90, 142, 120, 152]}, {\"cell\": \"Exist\", \"bbox\": [187, 142, 203, 152]}, {\"cell\": \"Not exist\", \"bbox\": [274, 142, 305, 152]}, {\"cell\": \"Exist\", \"bbox\": [363, 142, 379, 152]}, {\"cell\": \"Not exist\", \"bbox\": [450, 142, 481, 152]}, {\"cell\": \"Not exist\", \"bbox\": [547, 142, 578, 152]}, {\"cell\": \"Background difference among samples\", \"bbox\": [1, 165, 75, 184]}, {\"cell\": \"Not exist\", \"bbox\": [90, 165, 120, 175]}, {\"cell\": \"Not exist\", \"bbox\": [187, 165, 217, 175]}, {\"cell\": \"Not exist\", \"bbox\": [274, 165, 305, 175]}, {\"cell\": \"Not exist\", \"bbox\": [363, 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{\"cell\": \"G7 > 7\", \"bbox\": [383, 188, 400, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [405, 188, 422, 207]}, {\"cell\": \"G8 > 75\", \"bbox\": [428, 188, 445, 207]}, {\"cell\": \"G9 < 41\", \"bbox\": [450, 188, 466, 207]}, {\"cell\": \"G9 > 41\", \"bbox\": [472, 188, 489, 207]}, {\"cell\": \"G10 < 41\", \"bbox\": [498, 188, 514, 207]}, {\"cell\": \"G10 > 41\", \"bbox\": [521, 188, 542, 207]}, {\"cell\": \"G11 < 75\", \"bbox\": [547, 188, 563, 207]}, {\"cell\": \"G11 > 75\", \"bbox\": [570, 188, 591, 207]}, {\"cell\": \"G12 < 75\", \"bbox\": [596, 188, 617, 207]}, {\"cell\": \"G12 > 75\", \"bbox\": [623, 188, 644, 207]}, {\"cell\": \"+\", \"bbox\": [79, 211, 86, 221]}, {\"cell\": \"4\", \"bbox\": [90, 211, 95, 221]}, {\"cell\": \"0\", \"bbox\": [110, 211, 116, 221]}, {\"cell\": \"0\", \"bbox\": [137, 211, 143, 221]}, {\"cell\": \"4\", \"bbox\": [160, 211, 166, 221]}, {\"cell\": \"4\", \"bbox\": [187, 211, 193, 221]}, {\"cell\": \"0\", \"bbox\": [207, 211, 212, 221]}, {\"cell\": 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{\"cell\": \"2\", \"bbox\": [547, 225, 553, 235]}, {\"cell\": \"2\", \"bbox\": [570, 225, 576, 235]}, {\"cell\": \"2\", \"bbox\": [596, 225, 602, 235]}, {\"cell\": \"2\", \"bbox\": [623, 225, 629, 235]}, {\"cell\": \"Highlight\", \"bbox\": [1, 239, 32, 249]}, {\"cell\": \"Yes (χ2 = 4.5*)\", \"bbox\": [90, 239, 121, 258]}, {\"cell\": \"Yes (χ2 = 4.5*)\", \"bbox\": [137, 239, 168, 258]}, {\"cell\": \"Yes (χ2 = 4.5*)\", \"bbox\": [187, 239, 218, 258]}, {\"cell\": \"Yes (χ2 = 4.5*)\", \"bbox\": [229, 239, 260, 258]}, {\"cell\": \"Yes (χ2 = 4.5*)\", \"bbox\": [274, 239, 306, 258]}, {\"cell\": \"Yes (χ2 = 4.5*)\", \"bbox\": [318, 239, 349, 258]}, {\"cell\": \"Yes (χ2 = 4.5*)\", \"bbox\": [363, 239, 394, 258]}, {\"cell\": \"Yes (χ2 = 4.5*)\", \"bbox\": [405, 239, 436, 258]}, {\"cell\": \"No (χ2 = 0.5)\", \"bbox\": [450, 239, 479, 258]}, {\"cell\": \"No (χ2 = 0.5)\", \"bbox\": [498, 239, 527, 258]}, {\"cell\": \"No (χ2 = 0.5)\", \"bbox\": [547, 239, 576, 258]}, {\"cell\": \"No (χ2 = 0.5)\", \"bbox\": [596, 239, 625, 258]}, {\"cell\": \"Horizontal comparison of pair-wise genes\", \"bbox\": [1, 262, 75, 281]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"G1 > G2\", \"bbox\": [90, 262, 117, 272]}, {\"cell\": \"G1 < G2\", \"bbox\": [137, 262, 165, 272]}, {\"cell\": \"G3 > G4\", \"bbox\": [187, 262, 214, 272]}, {\"cell\": \"G3 < G4\", \"bbox\": [229, 262, 257, 272]}, {\"cell\": \"G5 > G6\", \"bbox\": [274, 262, 302, 272]}, {\"cell\": \"G5 < G6\", \"bbox\": [318, 262, 345, 272]}, {\"cell\": \"G7 > G8\", \"bbox\": [363, 262, 390, 272]}, {\"cell\": \"G7 < G8\", \"bbox\": [405, 262, 433, 272]}, {\"cell\": \"G9 > G10\", \"bbox\": [450, 262, 482, 272]}, {\"cell\": \"G9 < G10\", \"bbox\": [498, 262, 530, 272]}, {\"cell\": \"G11 > G12\", \"bbox\": [547, 262, 582, 272]}, {\"cell\": \"G11 < G12\", \"bbox\": [596, 262, 631, 272]}, {\"cell\": \"+\", \"bbox\": [79, 276, 86, 286]}, {\"cell\": \"0\", \"bbox\": [90, 276, 95, 286]}, {\"cell\": \"4\", \"bbox\": [137, 276, 143, 286]}, {\"cell\": \"0\", \"bbox\": [187, 276, 193, 286]}, {\"cell\": \"4\", \"bbox\": [229, 276, 235, 286]}, {\"cell\": \"2\", \"bbox\": [274, 276, 280, 286]}, {\"cell\": \"2\", \"bbox\": [318, 276, 323, 286]}, {\"cell\": \"0\", \"bbox\": [363, 276, 369, 286]}, {\"cell\": \"4\", \"bbox\": [405, 276, 411, 286]}, {\"cell\": \"0\", \"bbox\": [450, 276, 456, 286]}, {\"cell\": \"4\", \"bbox\": [498, 276, 504, 286]}, {\"cell\": \"2\", \"bbox\": [547, 276, 553, 286]}, {\"cell\": \"2\", \"bbox\": [596, 276, 602, 286]}, {\"cell\": \"-\", \"bbox\": [79, 290, 83, 300]}, {\"cell\": \"4\", \"bbox\": [90, 290, 95, 300]}, {\"cell\": \"0\", \"bbox\": [137, 290, 143, 300]}, {\"cell\": \"0\", \"bbox\": [187, 290, 193, 300]}, {\"cell\": \"4\", \"bbox\": [229, 290, 235, 300]}, {\"cell\": \"2\", \"bbox\": [274, 290, 280, 300]}, {\"cell\": \"2\", \"bbox\": [318, 290, 323, 300]}, {\"cell\": \"0\", \"bbox\": [363, 290, 369, 300]}, {\"cell\": \"4\", \"bbox\": [405, 290, 411, 300]}, {\"cell\": \"4\", \"bbox\": [450, 290, 456, 300]}, {\"cell\": \"0\", \"bbox\": [498, 290, 504, 300]}, {\"cell\": \"2\", \"bbox\": [547, 290, 553, 300]}, {\"cell\": \"2\", \"bbox\": [596, 290, 602, 300]}, {\"cell\": \"Highlight\", \"bbox\": [1, 304, 32, 314]}, {\"cell\": \"Yes (χ2 = 4.5*)\", \"bbox\": [90, 303, 134, 314]}, {\"cell\": \"No (χ2 = 0)\", \"bbox\": [187, 303, 222, 314]}, {\"cell\": \"No (χ2 = 0.5)\", \"bbox\": [274, 303, 315, 314]}, {\"cell\": \"No (χ2 = 0)\", \"bbox\": [363, 303, 398, 314]}, {\"cell\": \"Yes (χ2 = 4.5*)\", \"bbox\": [450, 303, 495, 314]}, {\"cell\": \"No (χ2 = 0.5)\", \"bbox\": [547, 303, 588, 314]}, {\"cell\": \"Vertical comparison of pair-wise genes\", \"bbox\": [1, 318, 65, 337]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"G1 < 75 & G2 < 75\", \"bbox\": [90, 318, 106, 364]}, {\"cell\": \"G1 < 75 &G2 > 75\", \"bbox\": [110, 318, 132, 355]}, {\"cell\": \"G1 > 75 & G2 < 75\", \"bbox\": [137, 318, 154, 355]}, {\"cell\": \"G1 > 75 &G2 > 75\", \"bbox\": [160, 318, 181, 355]}, {\"cell\": \"G3 < 7 & G4 < 75\", \"bbox\": [187, 318, 199, 373]}, {\"cell\": \"G3 < 7 & G4 > 75\", \"bbox\": [207, 318, 224, 355]}, {\"cell\": \"G3 > 7 & G4 < 75\", \"bbox\": [229, 318, 246, 355]}, {\"cell\": \"G3 > 7 & G4 > 75\", \"bbox\": [252, 318, 269, 355]}, {\"cell\": \"G5 < 75 & G6 < 75\", \"bbox\": [274, 318, 290, 364]}, {\"cell\": \"G5 < 75 & G6 > 75\", \"bbox\": [295, 318, 312, 355]}, {\"cell\": \"G5 > 75 & G6 < 75\", \"bbox\": [318, 318, 335, 355]}, {\"cell\": \"G5 > 75 & G6 > 75\", \"bbox\": [340, 318, 357, 355]}, {\"cell\": \"G7 < 7 & G8 < 75\", \"bbox\": [363, 318, 375, 373]}, {\"cell\": \"G7 < 7 & G8 > 75\", \"bbox\": [383, 318, 400, 355]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [405, 318, 422, 355]}, {\"cell\": \"G7 > 7 & G8 > 75\", \"bbox\": [428, 318, 445, 355]}, {\"cell\": \"G9 < 41 & G10 < 41\", \"bbox\": [450, 318, 466, 364]}, {\"cell\": \"G9 < 41 & G10 > 41\", \"bbox\": [472, 318, 493, 355]}, {\"cell\": \"G9 > 41 & G10 < 41\", \"bbox\": [498, 318, 515, 355]}, {\"cell\": \"G9 > 41 & G10 > 41\", \"bbox\": [521, 318, 542, 355]}, {\"cell\": \"G11 < 75 & G12 < 75\", \"bbox\": [547, 318, 563, 364]}, {\"cell\": \"G11 < 75 & G12 > 75\", \"bbox\": [570, 318, 591, 355]}, {\"cell\": \"G11 > 75 & G12 < 75\", \"bbox\": [596, 318, 617, 355]}, {\"cell\": \"G11 > 75 & G12 > 75\", \"bbox\": [623, 318, 644, 355]}, {\"cell\": \"+\", \"bbox\": [79, 377, 86, 387]}, {\"cell\": \"0\", \"bbox\": [90, 377, 95, 387]}, {\"cell\": \"4\", \"bbox\": [110, 377, 116, 387]}, {\"cell\": \"0\", \"bbox\": [137, 377, 143, 387]}, {\"cell\": \"0\", \"bbox\": [160, 377, 166, 387]}, {\"cell\": \"0\", \"bbox\": [187, 377, 193, 387]}, {\"cell\": \"4\", \"bbox\": [207, 377, 212, 387]}, {\"cell\": \"0\", \"bbox\": [229, 377, 235, 387]}, {\"cell\": \"0\", \"bbox\": [252, 377, 258, 387]}, {\"cell\": \"4\", \"bbox\": [274, 377, 280, 387]}, {\"cell\": \"0\", \"bbox\": [295, 377, 301, 387]}, {\"cell\": \"0\", \"bbox\": [318, 377, 323, 387]}, {\"cell\": \"0\", \"bbox\": [340, 377, 346, 387]}, {\"cell\": \"0\", \"bbox\": [363, 377, 369, 387]}, {\"cell\": \"4\", \"bbox\": [383, 377, 388, 387]}, {\"cell\": \"0\", \"bbox\": [405, 377, 411, 387]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [428, 377, 434, 387]}, {\"cell\": \"2\", \"bbox\": [450, 377, 456, 387]}, {\"cell\": \"0\", \"bbox\": [472, 377, 478, 387]}, {\"cell\": \"0\", \"bbox\": [498, 377, 504, 387]}, {\"cell\": \"2\", \"bbox\": [521, 377, 527, 387]}, {\"cell\": \"2\", \"bbox\": [547, 377, 553, 387]}, {\"cell\": \"0\", \"bbox\": [570, 377, 576, 387]}, {\"cell\": \"0\", \"bbox\": [596, 377, 602, 387]}, {\"cell\": \"2\", \"bbox\": [623, 377, 629, 387]}, {\"cell\": \"-\", \"bbox\": [79, 391, 83, 401]}, {\"cell\": \"0\", \"bbox\": [90, 391, 95, 401]}, {\"cell\": \"0\", \"bbox\": [110, 391, 116, 401]}, {\"cell\": \"4\", \"bbox\": [137, 391, 143, 401]}, {\"cell\": \"0\", \"bbox\": [160, 391, 166, 401]}, {\"cell\": \"0\", \"bbox\": [187, 391, 193, 401]}, {\"cell\": \"0\", \"bbox\": [207, 391, 212, 401]}, {\"cell\": \"4\", \"bbox\": [229, 391, 235, 401]}, {\"cell\": \"0\", \"bbox\": [252, 391, 258, 401]}, {\"cell\": \"0\", \"bbox\": [274, 391, 280, 401]}, {\"cell\": \"0\", \"bbox\": [295, 391, 301, 401]}, {\"cell\": \"0\", \"bbox\": [318, 391, 323, 401]}, {\"cell\": \"4\", \"bbox\": [340, 391, 346, 401]}, {\"cell\": \"0\", \"bbox\": [363, 391, 369, 401]}, {\"cell\": \"0\", \"bbox\": [383, 391, 388, 401]}, {\"cell\": \"0\", \"bbox\": [405, 391, 411, 401]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [428, 391, 434, 401]}, {\"cell\": \"2\", \"bbox\": [450, 391, 456, 401]}, {\"cell\": \"0\", \"bbox\": [472, 391, 478, 401]}, {\"cell\": \"0\", \"bbox\": [498, 391, 504, 401]}, {\"cell\": \"2\", \"bbox\": [521, 391, 527, 401]}, {\"cell\": \"0\", \"bbox\": [547, 391, 553, 401]}, {\"cell\": \"2\", \"bbox\": [570, 391, 576, 401]}, {\"cell\": \"2\", \"bbox\": [596, 391, 602, 401]}, {\"cell\": \"0\", \"bbox\": [623, 391, 629, 401]}, {\"cell\": \"Highlight\", \"bbox\": [1, 405, 32, 415]}, {\"cell\": \"Yes (χ2 = 4.5*)\", \"bbox\": [90, 404, 134, 415]}, {\"cell\": \"Yes (χ2 = 4.5*)\", \"bbox\": [187, 404, 231, 415]}, {\"cell\": \"Yes (χ2 = 4.5*)\", \"bbox\": [274, 404, 319, 415]}, {\"cell\": \"Yes (χ2 = 4.5*)\", \"bbox\": [363, 404, 407, 415]}, {\"cell\": \"No (χ2 = 0.5)\", \"bbox\": [450, 404, 491, 415]}, {\"cell\": \"Yes ((χ2 = 8*)\", \"bbox\": [547, 404, 589, 415]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4721022_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Month in North hemisphereJanuaryFebruaryMarchAprilMayJuneJulyAugustSeptemberOctoberNovemberDecember
Month in South hemisphereJulyAugustSeptemberOctoberNovemberDecemberJanuaryFebruaryMarchAprilMayJune
Pooled relative risk1 (ref)1.161.011.121.171.331.151.221.121.020.96[EMPTY_CELL]
Lower bound for 95% credible interval[EMPTY_CELL]1.10.570.890.980.780.670.890.970.790.7[EMPTY_CELL]
Higher bound for 95% credible interval[EMPTY_CELL]1.221.791.431.42.271.971.651.31.311.31[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Month in North hemisphere\", \"bbox\": [9, 5, 79, 31]}, {\"cell\": \"January\", \"bbox\": [91, 12, 129, 23]}, {\"cell\": \"February\", \"bbox\": [140, 12, 183, 23]}, {\"cell\": \"March\", \"bbox\": [203, 12, 233, 23]}, {\"cell\": \"April\", \"bbox\": [260, 12, 284, 23]}, {\"cell\": \"May\", \"bbox\": [315, 12, 337, 23]}, {\"cell\": \"June\", \"bbox\": [373, 12, 396, 23]}, {\"cell\": \"July\", \"bbox\": [428, 12, 449, 23]}, {\"cell\": \"August\", \"bbox\": [474, 12, 506, 23]}, {\"cell\": \"September\", \"bbox\": [522, 12, 571, 23]}, {\"cell\": \"October\", \"bbox\": [582, 12, 619, 23]}, {\"cell\": \"November\", \"bbox\": [631, 12, 678, 23]}, {\"cell\": \"December\", \"bbox\": [689, 12, 725, 23]}, {\"cell\": \"Month in South hemisphere\", \"bbox\": [9, 35, 78, 61]}, {\"cell\": \"July\", \"bbox\": [100, 42, 120, 53]}, {\"cell\": \"August\", \"bbox\": [145, 42, 178, 53]}, {\"cell\": \"September\", \"bbox\": [194, 42, 242, 53]}, {\"cell\": \"October\", \"bbox\": [254, 42, 291, 53]}, {\"cell\": \"November\", \"bbox\": [303, 42, 349, 53]}, {\"cell\": \"December\", \"bbox\": [362, 42, 407, 53]}, {\"cell\": \"January\", \"bbox\": [420, 42, 457, 53]}, {\"cell\": \"February\", \"bbox\": [469, 42, 512, 53]}, {\"cell\": \"March\", \"bbox\": [531, 42, 562, 53]}, {\"cell\": \"April\", \"bbox\": [588, 42, 613, 53]}, {\"cell\": \"May\", \"bbox\": [644, 42, 665, 53]}, {\"cell\": \"June\", \"bbox\": [700, 42, 723, 53]}, {\"cell\": \"Pooled relative risk\", \"bbox\": [13, 65, 75, 91]}, {\"cell\": \"1 (ref)\", \"bbox\": [96, 73, 124, 84]}, {\"cell\": \"1.16\", \"bbox\": [152, 73, 172, 84]}, {\"cell\": \"1.01\", \"bbox\": [208, 73, 228, 84]}, {\"cell\": \"1.12\", \"bbox\": [262, 73, 282, 84]}, {\"cell\": \"1.17\", \"bbox\": [316, 73, 336, 84]}, {\"cell\": \"1.33\", \"bbox\": [375, 73, 394, 84]}, {\"cell\": \"1.15\", \"bbox\": [429, 73, 448, 84]}, {\"cell\": \"1.22\", \"bbox\": [480, 73, 500, 84]}, {\"cell\": \"1.12\", \"bbox\": [537, 73, 556, 84]}, {\"cell\": \"1.02\", \"bbox\": [591, 73, 610, 84]}, {\"cell\": \"0.96\", \"bbox\": [645, 73, 664, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [702, 73, 721, 84]}, {\"cell\": \"Lower bound for 95% credible interval\", \"bbox\": [9, 95, 79, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.1\", \"bbox\": [155, 110, 169, 121]}, {\"cell\": \"0.57\", \"bbox\": [208, 110, 228, 121]}, {\"cell\": \"0.89\", \"bbox\": [262, 110, 282, 121]}, {\"cell\": \"0.98\", \"bbox\": [316, 110, 336, 121]}, {\"cell\": \"0.78\", \"bbox\": [375, 110, 394, 121]}, {\"cell\": \"0.67\", \"bbox\": [429, 110, 448, 121]}, {\"cell\": \"0.89\", \"bbox\": [480, 110, 500, 121]}, {\"cell\": \"0.97\", \"bbox\": [537, 110, 556, 121]}, {\"cell\": \"0.79\", \"bbox\": [591, 110, 610, 121]}, {\"cell\": \"0.7\", \"bbox\": [647, 110, 662, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [702, 110, 721, 121]}, {\"cell\": \"Higher bound for 95% credible interval\", \"bbox\": [8, 140, 79, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.22\", \"bbox\": [152, 155, 172, 166]}, {\"cell\": \"1.79\", \"bbox\": [208, 155, 228, 166]}, {\"cell\": \"1.43\", \"bbox\": [262, 155, 282, 166]}, {\"cell\": \"1.4\", \"bbox\": [319, 155, 333, 166]}, {\"cell\": \"2.27\", \"bbox\": [375, 155, 394, 166]}, {\"cell\": \"1.97\", \"bbox\": [429, 155, 448, 166]}, {\"cell\": \"1.65\", \"bbox\": [480, 155, 500, 166]}, {\"cell\": \"1.3\", \"bbox\": [539, 155, 554, 166]}, {\"cell\": \"1.31\", \"bbox\": [591, 155, 610, 166]}, {\"cell\": \"1.31\", \"bbox\": [645, 155, 664, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [702, 155, 721, 166]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3924438_073_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
SampleAge (years)Right Hand (kg)Left Hand (kg)Sum of Two Hands (kg)Reference
Males
Spanish (n = 74)14.7 ± 1.1[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL](Torres-Luque et al., 2015) [33]
Tunisians national (n = 12)18.6 ± 2.4[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL](Souissi et al., 2013) [38]
Cypriots competitive (n = 11)20 ± 6[EMPTY_CELL]42.0 ± 8.888.5 a(Papacosta et al., 2013) [40]
Spanish national (n = 12)22.0 ± 3.2[EMPTY_CELL]55.4 ± 7.4113 a(Bonitch-Góngora et al., 2012) [43]
Spanish national (n = 14)22.9[EMPTY_CELL]46.594.9(Morales et al., 2014) [47]
Portuguese national (n = 27)23.2 ± 2.8[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL](Silva et al., 2011) [49]
Europeans elite (n = 10)25.6 ± 3.6[EMPTY_CELL]69.0133.3 a(Drid et al., 2015) [51]
Brazilian recreational (n = 180)25.7 ± 4.9[EMPTY_CELL][EMPTY_CELL]101 ± 15(Schwartz et al., 2015) [52]
Brazilian competitive (n = 22)22.5 ± 3.9[EMPTY_CELL]51.4 ± 7.9102.8 a(Ache Dias et al., 2012) [45]
French competitive (n = 13)adults[EMPTY_CELL]49.699.6 a(Franchini et al., 2015) [53]
Females
Spanish (n = 72)14.5 ± 1.2[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL](Torres-Luque et al., 2015) [33]
\", \"cells\": [{\"cell\": \"Sample\", \"bbox\": [38, 7, 60, 15]}, {\"cell\": \"Age (years)\", \"bbox\": [108, 7, 141, 15]}, {\"cell\": \"Right Hand (kg)\", \"bbox\": [163, 4, 197, 18]}, {\"cell\": \"Left Hand (kg)\", \"bbox\": [215, 7, 257, 15]}, {\"cell\": \"Sum of Two Hands (kg)\", \"bbox\": [276, 4, 311, 18]}, {\"cell\": \"Reference\", \"bbox\": [360, 7, 389, 15]}, {\"cell\": \"Males\", \"bbox\": [205, 21, 222, 29]}, {\"cell\": \"Spanish (n = 74)\", \"bbox\": [27, 32, 71, 40]}, {\"cell\": \"14.7 ± 1.1\", \"bbox\": [110, 32, 139, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 32, 196, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"(Torres-Luque et al., 2015) [33]\", \"bbox\": [334, 32, 415, 40]}, {\"cell\": \"Tunisians national (n = 12)\", \"bbox\": [13, 43, 85, 51]}, {\"cell\": \"18.6 ± 2.4\", \"bbox\": [110, 43, 139, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 43, 186, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"(Souissi et al., 2013) [38]\", \"bbox\": [342, 43, 406, 51]}, {\"cell\": \"Cypriots competitive (n = 11)\", \"bbox\": [10, 54, 89, 62]}, {\"cell\": \"20 ± 6\", \"bbox\": [115, 54, 134, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 54, 195, 62]}, {\"cell\": \"42.0 ± 8.8\", \"bbox\": [222, 54, 250, 62]}, {\"cell\": \"88.5 a\", \"bbox\": [285, 53, 302, 62]}, {\"cell\": \"(Papacosta et al., 2013) [40]\", \"bbox\": [338, 54, 410, 62]}, {\"cell\": \"Spanish national (n = 12)\", \"bbox\": [15, 66, 83, 74]}, {\"cell\": \"22.0 ± 3.2\", \"bbox\": [110, 66, 139, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 66, 195, 74]}, {\"cell\": \"55.4 ± 7.4\", \"bbox\": [222, 66, 250, 74]}, {\"cell\": \"113 a\", \"bbox\": [286, 64, 301, 74]}, {\"cell\": \"(Bonitch-Góngora et al., 2012) [43]\", \"bbox\": [329, 66, 420, 74]}, {\"cell\": \"Spanish national (n = 14)\", \"bbox\": [15, 77, 83, 85]}, {\"cell\": \"22.9\", \"bbox\": [118, 77, 131, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 77, 187, 85]}, {\"cell\": \"46.5\", \"bbox\": [230, 77, 242, 85]}, {\"cell\": \"94.9\", \"bbox\": [287, 77, 300, 85]}, {\"cell\": \"(Morales et al., 2014) [47]\", \"bbox\": [341, 77, 408, 85]}, {\"cell\": \"Portuguese national (n = 27)\", \"bbox\": [11, 89, 87, 97]}, {\"cell\": \"23.2 ± 2.8\", \"bbox\": [110, 89, 139, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [164, 88, 196, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"(Silva et al., 2011) [49]\", \"bbox\": [345, 89, 404, 97]}, {\"cell\": \"Europeans elite (n = 10)\", \"bbox\": [17, 100, 81, 108]}, {\"cell\": \"25.6 ± 3.6\", \"bbox\": [110, 100, 139, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 100, 187, 108]}, {\"cell\": \"69.0\", \"bbox\": [230, 100, 242, 108]}, {\"cell\": \"133.3 a\", \"bbox\": [284, 99, 303, 109]}, {\"cell\": \"(Drid et al., 2015) [51]\", \"bbox\": [346, 100, 403, 108]}, {\"cell\": \"Brazilian recreational (n = 180)\", \"bbox\": [8, 112, 90, 120]}, {\"cell\": \"25.7 ± 4.9\", \"bbox\": [110, 111, 139, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"101 ± 15\", \"bbox\": [281, 111, 306, 120]}, {\"cell\": \"(Schwartz et al., 2015) [52]\", \"bbox\": [339, 112, 409, 120]}, {\"cell\": \"Brazilian competitive (n = 22)\", \"bbox\": [9, 123, 89, 131]}, {\"cell\": \"22.5 ± 3.9\", \"bbox\": [110, 123, 139, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [164, 122, 196, 131]}, {\"cell\": \"51.4 ± 7.9\", \"bbox\": [222, 123, 250, 131]}, {\"cell\": \"102.8 a\", \"bbox\": [284, 122, 303, 131]}, {\"cell\": \"(Ache Dias et al., 2012) [45]\", \"bbox\": [338, 123, 411, 131]}, {\"cell\": \"French competitive (n = 13)\", \"bbox\": [12, 134, 86, 142]}, {\"cell\": \"adults\", \"bbox\": [115, 134, 134, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 134, 187, 142]}, {\"cell\": \"49.6\", \"bbox\": [230, 134, 242, 142]}, {\"cell\": \"99.6 a\", \"bbox\": [285, 133, 302, 142]}, {\"cell\": \"(Franchini et al., 2015) [53]\", \"bbox\": [339, 134, 410, 142]}, {\"cell\": \"Females\", \"bbox\": [202, 145, 225, 153]}, {\"cell\": \"Spanish (n = 72)\", \"bbox\": [27, 156, 71, 164]}, {\"cell\": \"14.5 ± 1.2\", \"bbox\": [110, 156, 139, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 156, 195, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"(Torres-Luque et al., 2015) [33]\", \"bbox\": [334, 156, 415, 164]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5968945_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Data setsRegistration methodSimilarity
SSDSADCCNMI
Fig (4)-1HBFFD[EMPTY_CELL]0.0072980.9973111.362331
Our method0.000094[EMPTY_CELL]0.9991321.427246
Fig. (4)-2HBFFD[EMPTY_CELL]0.0058950.9990171.440683
Our method0.000041[EMPTY_CELL]0.9996111.501243
Fig. (4)-3HBFFD[EMPTY_CELL]0.0077530.9993261.496891
Our method0.000132[EMPTY_CELL]0.9997531.564322
Fig. (5)-1HBFFD[EMPTY_CELL]0.0250600.9906101.240709
Our method0.001002[EMPTY_CELL]0.9931571.252207
Fig. (5)-2HBFFD[EMPTY_CELL]0.0287800.9852501.242566
Our method0.001091[EMPTY_CELL]0.9914361.254210
Fig. (5)-3HBFFD[EMPTY_CELL]0.0276490.9868691.223756
Our method0.001241[EMPTY_CELL]0.9898431.233242
Fig. (5)-4HBFFD[EMPTY_CELL]0.0274230.9910891.240364
Our method0.000927[EMPTY_CELL]0.9958221.251860
Fig. (5)-5HBFFD[EMPTY_CELL]0.0238370.9912601.242578
Our method0.000828[EMPTY_CELL]0.9966511.253413
\", \"cells\": [{\"cell\": \"Data sets\", \"bbox\": [5, 4, 52, 15]}, {\"cell\": \"Registration method\", \"bbox\": [88, 4, 148, 26]}, {\"cell\": \"Similarity\", \"bbox\": [265, 4, 314, 15]}, {\"cell\": \"SSD\", \"bbox\": [182, 16, 202, 27]}, {\"cell\": \"SAD\", \"bbox\": [245, 16, 266, 27]}, {\"cell\": \"CC\", \"bbox\": [311, 16, 327, 27]}, {\"cell\": \"NMI\", \"bbox\": [371, 16, 394, 27]}, {\"cell\": \"Fig (4)-1\", \"bbox\": [6, 27, 41, 39]}, {\"cell\": \"HBFFD\", \"bbox\": [99, 27, 133, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 27, 211, 39]}, {\"cell\": \"0.007298\", \"bbox\": [237, 27, 274, 39]}, {\"cell\": \"0.997311\", \"bbox\": [301, 27, 338, 39]}, {\"cell\": \"1.362331\", \"bbox\": [364, 27, 401, 39]}, {\"cell\": \"Our method\", \"bbox\": [91, 39, 141, 50]}, {\"cell\": \"0.000094\", \"bbox\": [174, 39, 211, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [237, 39, 274, 50]}, {\"cell\": \"0.999132\", \"bbox\": [301, 39, 338, 50]}, {\"cell\": \"1.427246\", \"bbox\": [364, 39, 401, 50]}, {\"cell\": \"Fig. (4)-2\", \"bbox\": [6, 50, 43, 61]}, {\"cell\": \"HBFFD\", \"bbox\": [99, 50, 133, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 50, 211, 61]}, {\"cell\": \"0.005895\", \"bbox\": [237, 50, 274, 61]}, {\"cell\": \"0.999017\", \"bbox\": [301, 50, 338, 61]}, {\"cell\": \"1.440683\", \"bbox\": [364, 50, 401, 61]}, {\"cell\": \"Our method\", \"bbox\": [91, 61, 141, 72]}, {\"cell\": \"0.000041\", \"bbox\": [174, 61, 211, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [237, 61, 274, 72]}, {\"cell\": \"0.999611\", \"bbox\": [301, 61, 338, 72]}, {\"cell\": \"1.501243\", \"bbox\": [364, 61, 401, 72]}, {\"cell\": \"Fig. (4)-3\", \"bbox\": [6, 72, 43, 84]}, {\"cell\": \"HBFFD\", \"bbox\": [99, 72, 133, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 72, 211, 84]}, {\"cell\": \"0.007753\", \"bbox\": [237, 72, 274, 84]}, {\"cell\": \"0.999326\", \"bbox\": [301, 72, 338, 84]}, {\"cell\": \"1.496891\", \"bbox\": [364, 72, 401, 84]}, {\"cell\": \"Our method\", \"bbox\": [91, 84, 141, 95]}, {\"cell\": \"0.000132\", \"bbox\": [174, 84, 211, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [237, 84, 274, 95]}, {\"cell\": \"0.999753\", \"bbox\": [301, 84, 338, 95]}, {\"cell\": \"1.564322\", \"bbox\": [364, 84, 401, 95]}, {\"cell\": \"Fig. (5)-1\", \"bbox\": [6, 95, 43, 106]}, {\"cell\": \"HBFFD\", \"bbox\": [99, 95, 133, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 95, 211, 106]}, {\"cell\": \"0.025060\", \"bbox\": [237, 95, 274, 106]}, {\"cell\": \"0.990610\", \"bbox\": [301, 95, 338, 106]}, {\"cell\": \"1.240709\", \"bbox\": [364, 95, 401, 106]}, {\"cell\": \"Our method\", \"bbox\": [91, 106, 141, 117]}, {\"cell\": \"0.001002\", \"bbox\": [174, 106, 211, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [237, 106, 274, 117]}, {\"cell\": \"0.993157\", \"bbox\": [301, 106, 338, 117]}, {\"cell\": \"1.252207\", \"bbox\": [364, 106, 401, 117]}, {\"cell\": \"Fig. (5)-2\", \"bbox\": [6, 117, 43, 129]}, {\"cell\": \"HBFFD\", \"bbox\": [99, 117, 133, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 117, 211, 129]}, {\"cell\": \"0.028780\", \"bbox\": [237, 117, 274, 129]}, {\"cell\": \"0.985250\", \"bbox\": [301, 117, 338, 129]}, {\"cell\": \"1.242566\", \"bbox\": [364, 117, 401, 129]}, {\"cell\": \"Our method\", \"bbox\": [91, 129, 141, 140]}, {\"cell\": \"0.001091\", \"bbox\": [174, 129, 211, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [237, 129, 274, 140]}, {\"cell\": \"0.991436\", \"bbox\": [301, 129, 338, 140]}, {\"cell\": \"1.254210\", \"bbox\": [364, 129, 401, 140]}, {\"cell\": \"Fig. (5)-3\", \"bbox\": [6, 140, 43, 151]}, {\"cell\": \"HBFFD\", \"bbox\": [99, 140, 133, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 140, 211, 151]}, {\"cell\": \"0.027649\", \"bbox\": [237, 140, 274, 151]}, {\"cell\": \"0.986869\", \"bbox\": [301, 140, 338, 151]}, {\"cell\": \"1.223756\", \"bbox\": [364, 140, 401, 151]}, {\"cell\": \"Our method\", \"bbox\": [91, 151, 141, 162]}, {\"cell\": \"0.001241\", \"bbox\": [174, 151, 211, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [237, 151, 274, 162]}, {\"cell\": \"0.989843\", \"bbox\": [301, 151, 338, 162]}, {\"cell\": \"1.233242\", \"bbox\": [364, 151, 401, 162]}, {\"cell\": \"Fig. (5)-4\", \"bbox\": [6, 162, 43, 174]}, {\"cell\": \"HBFFD\", \"bbox\": [99, 162, 133, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 162, 211, 174]}, {\"cell\": \"0.027423\", \"bbox\": [237, 162, 274, 174]}, {\"cell\": \"0.991089\", \"bbox\": [301, 162, 338, 174]}, {\"cell\": \"1.240364\", \"bbox\": [364, 162, 401, 174]}, {\"cell\": \"Our method\", \"bbox\": [91, 174, 141, 185]}, {\"cell\": \"0.000927\", \"bbox\": [174, 174, 211, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [237, 174, 274, 185]}, {\"cell\": \"0.995822\", \"bbox\": [301, 174, 338, 185]}, {\"cell\": \"1.251860\", \"bbox\": [364, 174, 401, 185]}, {\"cell\": \"Fig. (5)-5\", \"bbox\": [6, 185, 43, 196]}, {\"cell\": \"HBFFD\", \"bbox\": [99, 185, 133, 196]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 185, 211, 196]}, {\"cell\": \"0.023837\", \"bbox\": [237, 185, 274, 196]}, {\"cell\": \"0.991260\", \"bbox\": [301, 185, 338, 196]}, {\"cell\": \"1.242578\", \"bbox\": [364, 185, 401, 196]}, {\"cell\": \"Our method\", \"bbox\": [91, 196, 141, 207]}, {\"cell\": \"0.000828\", \"bbox\": [174, 196, 211, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [237, 196, 274, 207]}, {\"cell\": \"0.996651\", \"bbox\": [301, 196, 338, 207]}, {\"cell\": \"1.253413\", \"bbox\": [364, 196, 401, 207]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5734968_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Date AdvancesReference
[EMPTY_CELL]First report of ZIKV probable sexual transmission[16]
[EMPTY_CELL]Two cases of probable sexual transmission reported[26]
[EMPTY_CELL]Infectious ZIKV particles detected in semen samples[27]
[EMPTY_CELL]High viral load reported in semen sample[28]
[EMPTY_CELL]Zika virus presence in semen confirmed[29]
[EMPTY_CELL]Zika RNA found in semen of asymptomatic blood donors[30]
[EMPTY_CELL]First report of male-to-male sexual transmission[31]
[EMPTY_CELL]First report of Zika RNA in cervical mucus[32]
[EMPTY_CELL]First report of suspected female-to-male sexual transmission[33]
\", \"cells\": [{\"cell\": \"Date \", \"bbox\": [36, 5, 57, 14]}, {\"cell\": \"Advances\", \"bbox\": [194, 5, 236, 14]}, {\"cell\": \"Reference\", \"bbox\": [356, 5, 399, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 21, 47, 32]}, {\"cell\": \"First report of ZIKV probable sexual transmission\", \"bbox\": [96, 21, 295, 32]}, {\"cell\": \"[16]\", \"bbox\": [369, 21, 386, 32]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 32, 47, 43]}, {\"cell\": \"Two cases of probable sexual transmission reported\", \"bbox\": [96, 32, 302, 43]}, {\"cell\": \"[26]\", \"bbox\": [369, 32, 386, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 43, 65, 54]}, {\"cell\": \"Infectious ZIKV particles detected in semen samples\", \"bbox\": [96, 43, 306, 54]}, {\"cell\": \"[27]\", \"bbox\": [369, 43, 386, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 54, 54, 65]}, {\"cell\": \"High viral load reported in semen sample\", \"bbox\": [96, 54, 264, 65]}, {\"cell\": \"[28]\", \"bbox\": [369, 54, 386, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 65, 47, 76]}, {\"cell\": \"Zika virus presence in semen confirmed\", \"bbox\": [96, 65, 257, 76]}, {\"cell\": \"[29]\", \"bbox\": [369, 65, 386, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 76, 50, 87]}, {\"cell\": \"Zika RNA found in semen of asymptomatic blood donors\", \"bbox\": [96, 76, 327, 87]}, {\"cell\": \"[30]\", \"bbox\": [369, 76, 386, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 87, 50, 98]}, {\"cell\": \"First report of male-to-male sexual transmission\", \"bbox\": [96, 87, 288, 98]}, {\"cell\": \"[31]\", \"bbox\": [369, 87, 386, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 98, 45, 109]}, {\"cell\": \"First report of Zika RNA in cervical mucus\", \"bbox\": [96, 98, 268, 109]}, {\"cell\": \"[32]\", \"bbox\": [369, 98, 386, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 109, 45, 120]}, {\"cell\": \"First report of suspected female-to-male sexual transmission\", \"bbox\": [96, 109, 335, 120]}, {\"cell\": \"[33]\", \"bbox\": [369, 109, 386, 120]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC6027493_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Laboratory valuesNMeanSDPercentile values
25th50th75th
RBC, ×1012/mL3553.250.932.533.00[EMPTY_CELL]
Hemoglobin, g/dL3569.351.958.009.00[EMPTY_CELL]
Hematocrit, %35627.186.0022.1326.00[EMPTY_CELL]
MCV, fL35685.629.2179.1585.60[EMPTY_CELL]
MCH, ρg35629.623.7827.0029.65[EMPTY_CELL]
Reticulocyte count, %3526.072.584.006.00[EMPTY_CELL]
Fetal hemoglobin (Hb), %3567.396.572.005.35[EMPTY_CELL]
S Hb, %35672.6317.9551.3281.00[EMPTY_CELL]
Leukocyte count, ×109/mL35611,955.314,180.388,800.0011,450.00[EMPTY_CELL]
Neutrophil count, ×109/mL3565,891.082,789.253,870.005,357.00[EMPTY_CELL]
Eosinophil count, ×109/mL356768.17712.07274.00521.50[EMPTY_CELL]
Lymphocyte count, ×109/mL3564,327.802,027.552,924.503,922.00[EMPTY_CELL]
Monocyte count, ×109/mL356826.21402.89537.00741.00[EMPTY_CELL]
Platelet count, ×103/μL356407.21158.74288.50392.00[EMPTY_CELL]
Glucose, mg/dL35675.1419.7268.0074.00[EMPTY_CELL]
Total cholesterol, mg/dL356130.2528.39110.00126.50[EMPTY_CELL]
HDL-C, mg/dL35633.218.7327.0032.00[EMPTY_CELL]
LDL-C, mg/dL35677.8824.3562.0076.00[EMPTY_CELL]
VLDL-C, mg/dL35619.239.7313.0017.00[EMPTY_CELL]
Triglycerides, mg/dL35696.1848.4764.0086.50[EMPTY_CELL]
ALT, U/L35622.9914.7214.0020.00[EMPTY_CELL]
AST, U/L35647.6822.1332.0043.00[EMPTY_CELL]
Iron serum, mcg/dL35691.6751.0260.0082.00[EMPTY_CELL]
Ferritin, ηg/mL351305.68458.8981.00167.20[EMPTY_CELL]
Total bilirubin, mg/dL3561.991.351.001.90[EMPTY_CELL]
Direct bilirubin, mg/dL3560.510.470.000.40[EMPTY_CELL]
Indirect bilirubin, mg/dL3561.491.230.901.00[EMPTY_CELL]
Total protein, g/dL3567.960.807.508.00[EMPTY_CELL]
Albumin, g/dL3564.450.544.004.40[EMPTY_CELL]
Globulin, g/dL3563.540.823.003.55[EMPTY_CELL]
Uric acid, mg/dL3564.121.273.004.00[EMPTY_CELL]
Urea nitrogen, mg/dL35618.178.0713.0017.00[EMPTY_CELL]
Creatinine, mg/dL3540.540.510.001.00[EMPTY_CELL]
C-reactive protein, mg/L3536.749.572.474.00[EMPTY_CELL]
Antistreptolysin-O, UI/mL353177.68339.3828.5080.00[EMPTY_CELL]
Haptoglobin, mg/dL3538.8215.755.836.00[EMPTY_CELL]
LDH, U/L356964.05531.42597.25855.00[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Laboratory values\", \"bbox\": [1, 6, 63, 15]}, {\"cell\": \"N\", \"bbox\": [133, 6, 140, 13]}, {\"cell\": \"Mean\", \"bbox\": [191, 6, 212, 15]}, {\"cell\": \"SD\", \"bbox\": [268, 6, 280, 15]}, {\"cell\": \"Percentile values\", \"bbox\": [389, 6, 448, 15]}, {\"cell\": \"25th\", \"bbox\": [336, 23, 352, 32]}, {\"cell\": \"50th\", \"bbox\": [408, 23, 425, 32]}, {\"cell\": \"75th\", \"bbox\": [482, 23, 499, 32]}, {\"cell\": \"RBC, ×1012/mL\", \"bbox\": [1, 40, 50, 49]}, {\"cell\": \"355\", \"bbox\": [130, 40, 144, 49]}, {\"cell\": \"3.25\", \"bbox\": [202, 40, 218, 49]}, {\"cell\": \"0.93\", \"bbox\": [273, 40, 288, 49]}, {\"cell\": \"2.53\", \"bbox\": [343, 40, 359, 49]}, {\"cell\": \"3.00\", \"bbox\": [417, 40, 433, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [492, 40, 507, 49]}, {\"cell\": \"Hemoglobin, g/dL\", \"bbox\": [1, 50, 57, 59]}, {\"cell\": \"356\", \"bbox\": [130, 50, 144, 59]}, {\"cell\": \"9.35\", \"bbox\": [202, 50, 218, 59]}, {\"cell\": 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383, 288, 391]}, {\"cell\": \"597.25\", \"bbox\": [335, 383, 359, 391]}, {\"cell\": \"855.00\", \"bbox\": [409, 383, 433, 391]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [480, 383, 507, 391]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5681845_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Phase 1Phase 2
Semi-structured interviewn = 15Structured interviewn = 8Focus group An = 7Focus group Bn = 6
[EMPTY_CELL]
[EMPTY_CELL]71.3 (13.3)72.5 (8.8)69.3 (9.2)69.2 (10.3)
[EMPTY_CELL](46-89)(60-83)(52-81)(57-82)
[EMPTY_CELL]
[EMPTY_CELL]8 (53 %)7 (88 %)2 (29 %)4 (67 %)
[EMPTY_CELL]
[EMPTY_CELL]9 (60 %)3 (38 %)4 (57 %)4 (60 %)
[EMPTY_CELL]4 PT (27 %)2 No regular PT (13 %)9 Daycare (60 %)3 PT (38 %)5 Daycare (62 %)2 PT (29 %)4 No regular PT (57 %)1 Daycare (14 %)2 PT (33 %)2 No regular PT (33 %)2 Daycare (33 %)
[EMPTY_CELL]5 FAC3 (33 %)1 FAC4 (7 %)9 FAC 5 (60 %)3 FAC3 (38 %)3 FAC4 (38 %)2 FAC5 (24 %)2 FAC4 (29 %)5 FAC5 (71 %)2 FAC4 (33 %)4 FAC5 (67 %)
[EMPTY_CELL]1 cane (7 %)7 rollator (46 %)2 cane (25 %)3 rollator (38 %)2 cane (29 %)2 cane (33 %)
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Phase 1\", \"bbox\": [120, 4, 147, 13]}, {\"cell\": \"Phase 2\", \"bbox\": [314, 4, 340, 13]}, {\"cell\": \"Semi-structured interviewn = 15\", \"bbox\": [120, 17, 204, 36]}, {\"cell\": \"Structured interviewn = 8\", \"bbox\": [226, 17, 292, 36]}, {\"cell\": \"Focus group An = 7\", \"bbox\": [314, 17, 363, 36]}, {\"cell\": \"Focus group Bn = 6\", \"bbox\": [410, 17, 458, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 39, 25, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 53, 44, 63]}, {\"cell\": \"71.3 (13.3)\", \"bbox\": [120, 53, 154, 63]}, {\"cell\": \"72.5 (8.8)\", \"bbox\": [226, 53, 256, 63]}, {\"cell\": \"69.3 (9.2)\", \"bbox\": [314, 53, 344, 63]}, {\"cell\": \"69.2 (10.3)\", \"bbox\": [410, 53, 444, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 67, 30, 77]}, {\"cell\": \"(46-89)\", \"bbox\": [120, 67, 144, 77]}, {\"cell\": \"(60-83)\", \"bbox\": [226, 67, 249, 77]}, {\"cell\": \"(52-81)\", \"bbox\": [314, 67, 338, 77]}, {\"cell\": \"(57-82)\", \"bbox\": [410, 67, 434, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 81, 26, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 95, 38, 105]}, {\"cell\": \"8 (53 %)\", \"bbox\": [120, 95, 148, 105]}, {\"cell\": \"7 (88 %)\", \"bbox\": [226, 95, 254, 105]}, {\"cell\": \"2 (29 %)\", \"bbox\": [314, 95, 342, 105]}, {\"cell\": \"4 (67 %)\", \"bbox\": [410, 95, 438, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 109, 45, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 123, 47, 133]}, {\"cell\": \"9 (60 %)\", \"bbox\": [120, 123, 148, 133]}, {\"cell\": \"3 (38 %)\", \"bbox\": [226, 123, 254, 133]}, {\"cell\": \"4 (57 %)\", \"bbox\": [314, 123, 342, 133]}, {\"cell\": \"4 (60 %)\", \"bbox\": [410, 123, 438, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 137, 99, 147]}, {\"cell\": \"4 PT (27 %)2 No regular PT (13 %)9 Daycare (60 %)\", \"bbox\": [120, 137, 195, 165]}, {\"cell\": \"3 PT (38 %)5 Daycare (62 %)\", \"bbox\": [226, 137, 282, 156]}, {\"cell\": \"2 PT (29 %)4 No regular PT (57 %)1 Daycare (14 %)\", \"bbox\": [314, 137, 388, 165]}, {\"cell\": \"2 PT (33 %)2 No regular PT (33 %)2 Daycare (33 %)\", \"bbox\": [410, 137, 484, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 169, 28, 179]}, {\"cell\": \"5 FAC3 (33 %)1 FAC4 (7 %)9 FAC 5 (60 %)\", \"bbox\": [120, 169, 170, 197]}, {\"cell\": \"3 FAC3 (38 %)3 FAC4 (38 %)2 FAC5 (24 %)\", \"bbox\": [226, 169, 273, 197]}, {\"cell\": \"2 FAC4 (29 %)5 FAC5 (71 %)\", \"bbox\": [314, 169, 361, 188]}, {\"cell\": \"2 FAC4 (33 %)4 FAC5 (67 %)\", \"bbox\": [410, 169, 457, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 201, 75, 211]}, {\"cell\": \"1 cane (7 %)7 rollator (46 %)\", \"bbox\": [120, 201, 173, 220]}, {\"cell\": \"2 cane (25 %)3 rollator (38 %)\", \"bbox\": [226, 201, 279, 220]}, {\"cell\": \"2 cane (29 %)\", \"bbox\": [314, 201, 360, 211]}, {\"cell\": \"2 cane (33 %)\", \"bbox\": [410, 201, 456, 211]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4986174_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Concepts & Categories[EMPTY_CELL]Children[EMPTY_CELL]Adults
[EMPTY_CELL]Total (Children/Adults)Haemo-QoLTotal AdultsHaem-A-QoLMedTapHemo-SatAHEP-Test-Q
number of items224771474641[EMPTY_CELL]26
number of meaningful concepts (total)3651232428362[EMPTY_CELL]35
concepts linked to the ICF (Percentage)*283 (78%)83 (67%)200 (83%)60 (72%)51 (82%)[EMPTY_CELL]30 (86%)
concepts not linked to the ICF (total number)**82 (22%)40 (33%)42 (17%)23 (28%)11 (18%)[EMPTY_CELL]5 (14%)
ICF/ICF-CY categories used for linkage (total number)7039542527[EMPTY_CELL]18
for level of ICF hierarchy
1st level84723[EMPTY_CELL]2
2nd level3322211011[EMPTY_CELL]6
3rd level2812251213[EMPTY_CELL]10
4th level1111-[EMPTY_CELL]-
\", \"cells\": [{\"cell\": \"Concepts & Categories\", \"bbox\": [1, 4, 81, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Children\", \"bbox\": [224, 4, 255, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Adults\", \"bbox\": [382, 4, 406, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Total (Children/Adults)\", \"bbox\": [154, 17, 210, 36]}, {\"cell\": \"Haemo-QoL\", \"bbox\": [218, 17, 261, 27]}, {\"cell\": \"Total Adults\", \"bbox\": [271, 17, 295, 36]}, {\"cell\": \"Haem-A-QoL\", \"bbox\": [304, 17, 350, 27]}, {\"cell\": \"MedTap\", \"bbox\": [354, 17, 384, 27]}, {\"cell\": \"Hemo-SatA\", \"bbox\": [391, 17, 431, 27]}, {\"cell\": \"HEP-Test-Q\", \"bbox\": [441, 17, 482, 27]}, {\"cell\": \"number of items\", \"bbox\": [1, 39, 61, 49]}, {\"cell\": \"224\", \"bbox\": [175, 39, 189, 49]}, {\"cell\": \"77\", \"bbox\": [234, 39, 245, 49]}, {\"cell\": \"147\", \"bbox\": [275, 39, 290, 49]}, {\"cell\": \"46\", \"bbox\": [322, 39, 332, 49]}, {\"cell\": \"41\", \"bbox\": [364, 39, 374, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 39, 416, 49]}, {\"cell\": \"26\", \"bbox\": [456, 39, 466, 49]}, {\"cell\": \"number of meaningful concepts (total)\", \"bbox\": [1, 53, 138, 62]}, {\"cell\": \"365\", \"bbox\": [175, 53, 189, 62]}, {\"cell\": \"123\", \"bbox\": [232, 53, 247, 62]}, {\"cell\": \"242\", \"bbox\": [275, 53, 290, 62]}, {\"cell\": \"83\", \"bbox\": [322, 53, 332, 62]}, {\"cell\": \"62\", \"bbox\": [364, 53, 374, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 53, 416, 62]}, {\"cell\": \"35\", \"bbox\": [456, 53, 466, 62]}, {\"cell\": \"concepts linked to the ICF (Percentage)*\", \"bbox\": [1, 66, 144, 75]}, {\"cell\": \"283 (78%)\", \"bbox\": [164, 66, 201, 75]}, {\"cell\": \"83 (67%)\", \"bbox\": [223, 66, 256, 75]}, {\"cell\": \"200 (83%)\", \"bbox\": [272, 66, 293, 84]}, {\"cell\": \"60 (72%)\", \"bbox\": [311, 66, 343, 75]}, {\"cell\": \"51 (82%)\", \"bbox\": [358, 66, 380, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [395, 66, 427, 75]}, {\"cell\": \"30 (86%)\", \"bbox\": [445, 66, 478, 75]}, {\"cell\": \"concepts not linked to the ICF (total number)**\", \"bbox\": [1, 88, 129, 106]}, {\"cell\": \"82 (22%)\", \"bbox\": [166, 88, 199, 97]}, {\"cell\": \"40 (33%)\", \"bbox\": [223, 88, 256, 97]}, {\"cell\": \"42 (17%)\", \"bbox\": [266, 88, 299, 97]}, {\"cell\": \"23 (28%)\", \"bbox\": [311, 88, 343, 97]}, {\"cell\": \"11 (18%)\", \"bbox\": [358, 88, 380, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [399, 88, 423, 97]}, {\"cell\": \"5 (14%)\", \"bbox\": [447, 88, 476, 97]}, {\"cell\": \"ICF/ICF-CY categories used for linkage (total number)\", \"bbox\": [1, 110, 136, 129]}, {\"cell\": \"70\", \"bbox\": [177, 110, 187, 120]}, {\"cell\": \"39\", \"bbox\": [234, 110, 245, 120]}, {\"cell\": \"54\", \"bbox\": [277, 110, 288, 120]}, {\"cell\": \"25\", \"bbox\": [322, 110, 332, 120]}, {\"cell\": \"27\", \"bbox\": [364, 110, 374, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 110, 416, 120]}, {\"cell\": \"18\", \"bbox\": [456, 110, 466, 120]}, {\"cell\": \"for level of ICF hierarchy\", \"bbox\": [1, 132, 89, 142]}, {\"cell\": \"1st level\", \"bbox\": [1, 146, 29, 153]}, {\"cell\": \"8\", \"bbox\": [179, 146, 185, 153]}, {\"cell\": \"4\", \"bbox\": [236, 146, 242, 153]}, {\"cell\": \"7\", \"bbox\": [280, 146, 285, 153]}, {\"cell\": \"2\", \"bbox\": [324, 146, 330, 153]}, {\"cell\": \"3\", \"bbox\": [366, 146, 372, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [409, 146, 413, 153]}, {\"cell\": \"2\", \"bbox\": [458, 146, 464, 153]}, {\"cell\": \"2nd level\", \"bbox\": [1, 159, 32, 166]}, {\"cell\": \"33\", \"bbox\": [177, 159, 187, 166]}, {\"cell\": \"22\", \"bbox\": [235, 159, 244, 166]}, {\"cell\": \"21\", \"bbox\": [278, 159, 287, 166]}, {\"cell\": \"10\", \"bbox\": [322, 159, 332, 166]}, {\"cell\": \"11\", \"bbox\": [364, 159, 374, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [408, 159, 414, 166]}, {\"cell\": \"6\", \"bbox\": [458, 159, 464, 166]}, {\"cell\": \"3rd level\", \"bbox\": [1, 172, 30, 180]}, {\"cell\": \"28\", \"bbox\": [177, 172, 187, 180]}, {\"cell\": \"12\", \"bbox\": [235, 172, 244, 180]}, {\"cell\": \"25\", \"bbox\": [278, 172, 287, 180]}, {\"cell\": \"12\", \"bbox\": [322, 172, 332, 180]}, {\"cell\": \"13\", \"bbox\": [364, 172, 374, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [408, 172, 414, 180]}, {\"cell\": \"10\", \"bbox\": [456, 172, 466, 180]}, {\"cell\": \"4th level\", \"bbox\": [1, 185, 30, 193]}, {\"cell\": \"1\", \"bbox\": [179, 185, 185, 193]}, {\"cell\": \"1\", \"bbox\": [236, 185, 242, 193]}, {\"cell\": \"1\", \"bbox\": [280, 185, 285, 193]}, {\"cell\": \"1\", \"bbox\": [324, 185, 330, 193]}, {\"cell\": \"-\", \"bbox\": [367, 185, 371, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [409, 185, 413, 193]}, {\"cell\": \"-\", \"bbox\": [459, 185, 463, 193]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3022566_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Javanese Surinamese (n = 197)South-Asian Surinamese (n = 2738)Differences between ethnic groups Adjusted for age and sex: Javanese Surinamese were taken as a reference group
OR95% CI
[EMPTY_CELL]39.138.40.950.70–1.27
[EMPTY_CELL]32.537.71.310.95–1.78
[EMPTY_CELL]56.9**70.12.201.60–3.02
[EMPTY_CELL]74.6**83.82.441.66–3.57
[EMPTY_CELL]7.7**17.22.551.48–4.35
[EMPTY_CELL]8.2**18.72.771.67–4.60
[EMPTY_CELL]37.842.41.280.91–1.79
[EMPTY_CELL]41.139.50.940.70–1.26
[EMPTY_CELL]32.836.91.180.86–1.62
[EMPTY_CELL]26.9**41.21.891.34–2.65
[EMPTY_CELL]13.79.60.640.41–0.99
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Javanese Surinamese (n = 197)\", \"bbox\": [168, 4, 211, 32]}, {\"cell\": \"South-Asian Surinamese (n = 2738)\", \"bbox\": [232, 4, 276, 32]}, {\"cell\": \"Differences between ethnic groups Adjusted for age and sex: Javanese Surinamese were taken as a reference group\", \"bbox\": [298, 4, 479, 32]}, {\"cell\": \"OR\", \"bbox\": [298, 38, 310, 48]}, {\"cell\": \"95% CI\", \"bbox\": [451, 38, 476, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 56, 97, 66]}, {\"cell\": \"39.1\", \"bbox\": [168, 56, 183, 66]}, {\"cell\": \"38.4\", \"bbox\": [232, 56, 247, 66]}, {\"cell\": \"0.95\", \"bbox\": [298, 56, 313, 66]}, {\"cell\": \"0.70–1.27\", \"bbox\": [451, 56, 483, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 68, 84, 78]}, {\"cell\": \"32.5\", \"bbox\": [168, 68, 183, 78]}, {\"cell\": \"37.7\", \"bbox\": [232, 68, 247, 78]}, {\"cell\": \"1.31\", \"bbox\": [298, 68, 313, 78]}, {\"cell\": \"0.95–1.78\", \"bbox\": [451, 68, 483, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 80, 152, 90]}, {\"cell\": \"56.9**\", \"bbox\": [168, 80, 190, 90]}, {\"cell\": \"70.1\", \"bbox\": [232, 80, 247, 90]}, {\"cell\": \"2.20\", \"bbox\": [298, 80, 313, 90]}, {\"cell\": \"1.60–3.02\", \"bbox\": [451, 80, 483, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 92, 145, 102]}, {\"cell\": \"74.6**\", \"bbox\": [168, 92, 190, 102]}, {\"cell\": \"83.8\", \"bbox\": [232, 92, 247, 102]}, {\"cell\": \"2.44\", \"bbox\": [298, 92, 313, 102]}, {\"cell\": \"1.66–3.57\", \"bbox\": [451, 92, 483, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 105, 76, 114]}, {\"cell\": \"7.7**\", \"bbox\": [172, 105, 190, 114]}, {\"cell\": \"17.2\", \"bbox\": [232, 105, 247, 114]}, {\"cell\": \"2.55\", \"bbox\": [298, 105, 313, 114]}, {\"cell\": \"1.48–4.35\", \"bbox\": [451, 105, 483, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 117, 31, 126]}, {\"cell\": \"8.2**\", \"bbox\": [172, 117, 190, 126]}, {\"cell\": \"18.7\", \"bbox\": [232, 117, 247, 126]}, {\"cell\": \"2.77\", \"bbox\": [298, 117, 313, 126]}, {\"cell\": \"1.67–4.60\", \"bbox\": [451, 117, 483, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 129, 46, 138]}, {\"cell\": \"37.8\", \"bbox\": [168, 129, 183, 138]}, {\"cell\": \"42.4\", \"bbox\": [232, 129, 247, 138]}, {\"cell\": \"1.28\", \"bbox\": [298, 129, 313, 138]}, {\"cell\": \"0.91–1.79\", \"bbox\": [451, 129, 483, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 141, 71, 150]}, {\"cell\": \"41.1\", \"bbox\": [168, 141, 183, 150]}, {\"cell\": \"39.5\", \"bbox\": [232, 141, 247, 150]}, {\"cell\": \"0.94\", \"bbox\": [298, 141, 313, 150]}, {\"cell\": \"0.70–1.26\", \"bbox\": [451, 141, 483, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 153, 32, 162]}, {\"cell\": \"32.8\", \"bbox\": [168, 153, 183, 162]}, {\"cell\": \"36.9\", \"bbox\": [232, 153, 247, 162]}, {\"cell\": \"1.18\", \"bbox\": [298, 153, 313, 162]}, {\"cell\": \"0.86–1.62\", \"bbox\": [451, 153, 483, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 165, 31, 175]}, {\"cell\": \"26.9**\", \"bbox\": [168, 165, 190, 175]}, {\"cell\": \"41.2\", \"bbox\": [232, 165, 247, 175]}, {\"cell\": \"1.89\", \"bbox\": [298, 165, 313, 175]}, {\"cell\": \"1.34–2.65\", \"bbox\": [451, 165, 483, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 177, 59, 187]}, {\"cell\": \"13.7\", \"bbox\": [168, 177, 183, 187]}, {\"cell\": \"9.6\", \"bbox\": [236, 177, 247, 187]}, {\"cell\": \"0.64\", \"bbox\": [298, 177, 313, 187]}, {\"cell\": \"0.41–0.99\", \"bbox\": [451, 177, 483, 187]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5219699_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]With a history of cancerWithout a history of cancer
[EMPTY_CELL][EMPTY_CELL]%N%
Total N[EMPTY_CELL]100.02814100.0
Age (y) at diagnosisb[EMPTY_CELL][EMPTY_CELL]
Mean (SD)[EMPTY_CELL]63.3 (15.4)
Median (range)[EMPTY_CELL]64 (19–103)
Male[EMPTY_CELL]49.7154054.7
Born in Denmark[EMPTY_CELL]97.8272796.9
Site of metastasisb[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Skin[EMPTY_CELL]33.8152754.3
Soft tissue[EMPTY_CELL]4.21665.9
Liver[EMPTY_CELL]25.11154.1
Lung[EMPTY_CELL]4.1893.2
GI Tract[EMPTY_CELL]4.4642.3
Brain[EMPTY_CELL]4.1592.1
Bone[EMPTY_CELL]1.9391.4
Salivary gland[EMPTY_CELL]1.4341.2
Mamma[EMPTY_CELL]1.2281.0
Cytology, pleura[EMPTY_CELL]0.5170.6
Mucous membrane[EMPTY_CELL]0.760.2
Gallbladder/Pancreas[EMPTY_CELL]0.250.2
Vulva[EMPTY_CELL]0.550.2
Unspecified or unknown[EMPTY_CELL]17.966023.5
Deathb[EMPTY_CELL]87.6209374.4
Time (mo) to deathb, Median (range)[EMPTY_CELL]9.7 (0–176)
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"With a history of cancer\", \"bbox\": [100, 4, 155, 22]}, {\"cell\": \"Without a history of cancer\", \"bbox\": [172, 4, 230, 22]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 26, 107, 36]}, {\"cell\": \"%\", \"bbox\": [134, 26, 141, 36]}, {\"cell\": \"N\", \"bbox\": [172, 26, 180, 36]}, {\"cell\": \"%\", \"bbox\": [209, 26, 217, 36]}, {\"cell\": \"Total N\", \"bbox\": [1, 40, 25, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 40, 113, 50]}, {\"cell\": \"100.0\", \"bbox\": [134, 40, 152, 50]}, {\"cell\": \"2814\", \"bbox\": [172, 40, 190, 50]}, {\"cell\": \"100.0\", \"bbox\": [209, 40, 228, 50]}, {\"cell\": \"Age (y) at diagnosisb\", \"bbox\": [1, 52, 69, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Mean (SD)\", \"bbox\": [8, 68, 44, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 68, 134, 78]}, {\"cell\": \"63.3 (15.4)\", \"bbox\": [172, 68, 207, 78]}, {\"cell\": \" Median (range)\", \"bbox\": [8, 82, 59, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 82, 135, 92]}, {\"cell\": \"64 (19–103)\", \"bbox\": [172, 82, 212, 92]}, {\"cell\": \"Male\", \"bbox\": [0, 96, 18, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 96, 113, 106]}, {\"cell\": \"49.7\", \"bbox\": [134, 96, 148, 106]}, {\"cell\": \"1540\", \"bbox\": [172, 96, 190, 106]}, {\"cell\": \"54.7\", \"bbox\": [209, 96, 224, 106]}, {\"cell\": \"Born in Denmark\", \"bbox\": [0, 110, 57, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 110, 113, 120]}, {\"cell\": \"97.8\", \"bbox\": [134, 110, 148, 120]}, {\"cell\": \"2727\", \"bbox\": [172, 110, 190, 120]}, {\"cell\": \"96.9\", \"bbox\": [209, 110, 224, 120]}, {\"cell\": \"Site of metastasisb\", \"bbox\": [0, 122, 61, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Skin\", \"bbox\": [8, 138, 23, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 138, 113, 148]}, {\"cell\": \"33.8\", \"bbox\": [134, 138, 148, 148]}, {\"cell\": \"1527\", \"bbox\": [172, 138, 190, 148]}, {\"cell\": \"54.3\", \"bbox\": [209, 138, 224, 148]}, {\"cell\": \" Soft tissue\", \"bbox\": [8, 152, 43, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 152, 110, 162]}, {\"cell\": \"4.2\", \"bbox\": [134, 152, 145, 162]}, {\"cell\": \"166\", \"bbox\": [172, 152, 186, 162]}, {\"cell\": \"5.9\", \"bbox\": [209, 152, 220, 162]}, {\"cell\": \" Liver\", \"bbox\": [8, 166, 25, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 166, 113, 176]}, {\"cell\": \"25.1\", \"bbox\": [134, 166, 148, 176]}, {\"cell\": \"115\", \"bbox\": [172, 166, 186, 176]}, {\"cell\": \"4.1\", \"bbox\": [209, 166, 220, 176]}, {\"cell\": \" Lung\", \"bbox\": [8, 180, 27, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 180, 110, 190]}, {\"cell\": \"4.1\", \"bbox\": [134, 180, 145, 190]}, {\"cell\": \"89\", \"bbox\": [172, 180, 182, 190]}, {\"cell\": \"3.2\", \"bbox\": [209, 180, 220, 190]}, {\"cell\": \" GI Tract\", \"bbox\": [8, 194, 35, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 194, 110, 204]}, {\"cell\": \"4.4\", \"bbox\": [134, 194, 145, 204]}, {\"cell\": \"64\", \"bbox\": [172, 194, 182, 204]}, {\"cell\": \"2.3\", \"bbox\": [209, 194, 220, 204]}, {\"cell\": \" Brain\", \"bbox\": [8, 208, 26, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 208, 110, 218]}, {\"cell\": \"4.1\", \"bbox\": [134, 208, 145, 218]}, {\"cell\": \"59\", \"bbox\": [172, 208, 182, 218]}, {\"cell\": \"2.1\", \"bbox\": [209, 208, 220, 218]}, {\"cell\": \" Bone\", \"bbox\": [8, 222, 27, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 222, 110, 232]}, {\"cell\": \"1.9\", \"bbox\": [134, 222, 145, 232]}, {\"cell\": \"39\", \"bbox\": [172, 222, 182, 232]}, {\"cell\": \"1.4\", \"bbox\": [209, 222, 220, 232]}, {\"cell\": \" Salivary gland\", \"bbox\": [8, 236, 55, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 236, 110, 246]}, {\"cell\": \"1.4\", \"bbox\": [134, 236, 145, 246]}, {\"cell\": \"34\", \"bbox\": [172, 236, 182, 246]}, {\"cell\": \"1.2\", \"bbox\": [209, 236, 220, 246]}, {\"cell\": \" Mamma\", \"bbox\": [8, 250, 37, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 250, 110, 260]}, {\"cell\": \"1.2\", \"bbox\": [134, 250, 145, 260]}, {\"cell\": \"28\", \"bbox\": [172, 250, 182, 260]}, {\"cell\": \"1.0\", \"bbox\": [209, 250, 220, 260]}, {\"cell\": \" Cytology, pleura\", \"bbox\": [8, 264, 62, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 264, 106, 274]}, {\"cell\": \"0.5\", \"bbox\": [134, 264, 145, 274]}, {\"cell\": \"17\", \"bbox\": [172, 264, 182, 274]}, {\"cell\": \"0.6\", \"bbox\": [209, 264, 220, 274]}, {\"cell\": \" Mucous membrane\", \"bbox\": [8, 278, 73, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 278, 106, 288]}, {\"cell\": \"0.7\", \"bbox\": [134, 278, 145, 288]}, {\"cell\": \"6\", \"bbox\": [172, 278, 178, 288]}, {\"cell\": \"0.2\", \"bbox\": [209, 278, 220, 288]}, {\"cell\": \" Gallbladder/Pancreas\", \"bbox\": [8, 292, 77, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 292, 106, 302]}, {\"cell\": \"0.2\", \"bbox\": [134, 292, 145, 302]}, {\"cell\": \"5\", \"bbox\": [172, 292, 178, 302]}, {\"cell\": \"0.2\", \"bbox\": [209, 292, 220, 302]}, {\"cell\": \" Vulva\", \"bbox\": [8, 306, 27, 316]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 306, 106, 316]}, {\"cell\": \"0.5\", \"bbox\": [134, 306, 145, 316]}, {\"cell\": \"5\", \"bbox\": [172, 306, 178, 316]}, {\"cell\": \"0.2\", \"bbox\": [209, 306, 220, 316]}, {\"cell\": \" Unspecified or unknown\", \"bbox\": [8, 320, 89, 330]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 320, 113, 330]}, {\"cell\": \"17.9\", \"bbox\": [134, 320, 148, 330]}, {\"cell\": \"660\", \"bbox\": [172, 320, 186, 330]}, {\"cell\": \"23.5\", \"bbox\": [209, 320, 224, 330]}, {\"cell\": \"Deathb\", \"bbox\": [0, 332, 25, 344]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 334, 113, 344]}, {\"cell\": \"87.6\", \"bbox\": [134, 334, 148, 344]}, {\"cell\": \"2093\", \"bbox\": [172, 334, 190, 344]}, {\"cell\": \"74.4\", \"bbox\": [209, 334, 224, 344]}, {\"cell\": \" Time (mo) to deathb, Median (range)\", \"bbox\": [8, 346, 78, 367]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 348, 137, 358]}, {\"cell\": \"9.7 (0–176)\", \"bbox\": [172, 348, 209, 358]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4855796_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Cox proportional hazard regression
Lymph node negative (n=121)Lymph node positive (n=90)
HR95% CIP valueHR95% CIP value
Recurrence[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
ER/PR negativitya2.060.80-5.310.1360.62[EMPTY_CELL]0.202
Age1.010.96-1.050.7881.01[EMPTY_CELL]0.582
BMI0.950.84-1.080.4501.02[EMPTY_CELL]0.703
Combined therapyb2.020.83-4.930.1202.12[EMPTY_CELL]0.107
APOA1 rs670 A/Ac4.981.40-17.700.0132.46[EMPTY_CELL]0.093
Mortality[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
ER/PR negativitya0.240.05-1.080.0640.52[EMPTY_CELL]0.118
Age1.050.98-1.130.1961.02[EMPTY_CELL]0.262
BMI0.890.71-1.110.2961.03[EMPTY_CELL]0.648
Combined therapyb1.830.41-8.180.4302.65[EMPTY_CELL]0.081
APOA1 rs670 A/Ac9.871.60-60.810.0142.86[EMPTY_CELL]0.060
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Cox proportional hazard regression\", \"bbox\": [231, 4, 357, 13]}, {\"cell\": \"Lymph node negative (n=121)\", \"bbox\": [138, 17, 245, 27]}, {\"cell\": \"Lymph node positive (n=90)\", \"bbox\": [350, 17, 451, 27]}, {\"cell\": \"HR\", \"bbox\": [109, 30, 121, 40]}, {\"cell\": \"95% CI\", \"bbox\": [172, 30, 198, 40]}, {\"cell\": \"P value\", \"bbox\": [248, 30, 275, 40]}, {\"cell\": \"HR\", \"bbox\": [321, 30, 333, 40]}, {\"cell\": \"95% CI\", \"bbox\": [381, 30, 407, 40]}, {\"cell\": \"P value\", \"bbox\": [454, 30, 481, 40]}, {\"cell\": \"Recurrence\", \"bbox\": [1, 43, 38, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"ER/PR negativitya\", \"bbox\": [1, 56, 57, 67]}, {\"cell\": \"2.06\", \"bbox\": [108, 57, 122, 67]}, {\"cell\": \"0.80-5.31\", \"bbox\": [170, 57, 200, 67]}, {\"cell\": \"0.136\", \"bbox\": [252, 57, 270, 67]}, {\"cell\": \"0.62\", \"bbox\": [320, 57, 335, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 57, 409, 67]}, {\"cell\": \"0.202\", \"bbox\": [458, 57, 477, 67]}, {\"cell\": \"Age\", \"bbox\": [1, 71, 15, 81]}, {\"cell\": \"1.01\", \"bbox\": [108, 71, 122, 81]}, {\"cell\": \"0.96-1.05\", \"bbox\": [170, 71, 200, 81]}, {\"cell\": \"0.788\", \"bbox\": [252, 71, 270, 81]}, {\"cell\": \"1.01\", \"bbox\": [320, 71, 335, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 71, 409, 81]}, {\"cell\": \"0.582\", \"bbox\": [458, 71, 477, 81]}, {\"cell\": \"BMI\", \"bbox\": [1, 85, 14, 95]}, {\"cell\": \"0.95\", \"bbox\": [108, 85, 122, 95]}, {\"cell\": \"0.84-1.08\", \"bbox\": [170, 85, 200, 95]}, {\"cell\": \"0.450\", \"bbox\": [252, 85, 270, 95]}, {\"cell\": \"1.02\", \"bbox\": [320, 85, 335, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 85, 409, 95]}, {\"cell\": \"0.703\", \"bbox\": [458, 85, 477, 95]}, {\"cell\": \"Combined therapyb\", \"bbox\": [1, 98, 66, 109]}, {\"cell\": \"2.02\", \"bbox\": [108, 99, 122, 109]}, {\"cell\": \"0.83-4.93\", \"bbox\": [170, 99, 200, 109]}, {\"cell\": \"0.120\", \"bbox\": [252, 99, 270, 109]}, {\"cell\": \"2.12\", \"bbox\": [320, 99, 335, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 99, 409, 109]}, {\"cell\": \"0.107\", \"bbox\": [458, 99, 477, 109]}, {\"cell\": \"APOA1 rs670 A/Ac\", \"bbox\": [1, 112, 60, 123]}, {\"cell\": \"4.98\", \"bbox\": [108, 113, 122, 123]}, {\"cell\": \"1.40-17.70\", \"bbox\": [168, 113, 202, 123]}, {\"cell\": \"0.013\", \"bbox\": [251, 113, 271, 123]}, {\"cell\": \"2.46\", \"bbox\": [323, 113, 338, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 113, 409, 123]}, {\"cell\": \"0.093\", \"bbox\": [458, 113, 477, 123]}, {\"cell\": \"Mortality\", \"bbox\": [1, 127, 30, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"ER/PR negativitya\", \"bbox\": [1, 140, 57, 151]}, {\"cell\": \"0.24\", \"bbox\": [108, 141, 122, 151]}, {\"cell\": \"0.05-1.08\", \"bbox\": [170, 141, 200, 151]}, {\"cell\": \"0.064\", \"bbox\": [252, 141, 270, 151]}, {\"cell\": \"0.52\", \"bbox\": [320, 141, 335, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 141, 409, 151]}, {\"cell\": \"0.118\", \"bbox\": [458, 141, 477, 151]}, {\"cell\": \"Age\", \"bbox\": [1, 155, 15, 165]}, {\"cell\": \"1.05\", \"bbox\": [108, 155, 122, 165]}, {\"cell\": \"0.98-1.13\", \"bbox\": [170, 155, 200, 165]}, {\"cell\": \"0.196\", \"bbox\": [252, 155, 270, 165]}, {\"cell\": \"1.02\", \"bbox\": [320, 155, 335, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 155, 409, 165]}, {\"cell\": \"0.262\", \"bbox\": [458, 155, 477, 165]}, {\"cell\": \"BMI\", \"bbox\": [1, 169, 14, 179]}, {\"cell\": \"0.89\", \"bbox\": [108, 169, 122, 179]}, {\"cell\": \"0.71-1.11\", \"bbox\": [170, 169, 200, 179]}, {\"cell\": \"0.296\", \"bbox\": [252, 169, 270, 179]}, {\"cell\": \"1.03\", \"bbox\": [320, 169, 335, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 169, 409, 179]}, {\"cell\": \"0.648\", \"bbox\": [458, 169, 477, 179]}, {\"cell\": \"Combined therapyb\", \"bbox\": [1, 182, 66, 193]}, {\"cell\": \"1.83\", \"bbox\": [108, 183, 122, 193]}, {\"cell\": \"0.41-8.18\", \"bbox\": [170, 183, 200, 193]}, {\"cell\": \"0.430\", \"bbox\": [252, 183, 270, 193]}, {\"cell\": \"2.65\", \"bbox\": [320, 183, 335, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 183, 409, 193]}, {\"cell\": \"0.081\", \"bbox\": [458, 183, 477, 193]}, {\"cell\": \"APOA1 rs670 A/Ac\", \"bbox\": [1, 196, 60, 207]}, {\"cell\": \"9.87\", \"bbox\": [108, 197, 122, 207]}, {\"cell\": \"1.60-60.81\", \"bbox\": [168, 197, 202, 207]}, {\"cell\": \"0.014\", \"bbox\": [251, 197, 271, 207]}, {\"cell\": \"2.86\", \"bbox\": [320, 197, 335, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 197, 409, 207]}, {\"cell\": \"0.060\", \"bbox\": [458, 197, 477, 207]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3708770_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
SubgroupsFavorable response %, (n)Relative Risk (95% CI)p
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]67 (70/104)[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.77
[EMPTY_CELL]66 (37/56)1 (ref)[EMPTY_CELL]
[EMPTY_CELL]69 (33/48)1.04 (0.80 - 1.36)[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.32
[EMPTY_CELL]69 (65/94)1 (ref)[EMPTY_CELL]
[EMPTY_CELL]50 (5/10)0.72 (0.38 - 1.36)[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.14
[EMPTY_CELL]76 (26/34)1 (ref)[EMPTY_CELL]
[EMPTY_CELL]63 (44/70)0.82 (0.63 - 1.06)[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.76
[EMPTY_CELL]68 (23/34)1 (ref)[EMPTY_CELL]
[EMPTY_CELL]64 (14/22)0.94 (0.64 - 1.39)[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.47
[EMPTY_CELL]60 (12/20)1 (ref)[EMPTY_CELL]
[EMPTY_CELL]69 (58/84)1.15 (0.78 - 1.69)[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.38
[EMPTY_CELL]76 (13/17)1 (ref)[EMPTY_CELL]
[EMPTY_CELL]67 (54/81)0.87 (0.64 - 1.18)[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.66
[EMPTY_CELL]71 (17/24)1 (ref)[EMPTY_CELL]
[EMPTY_CELL]66 (53/80)0.95 (0.69 - 1.26)[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.75
[EMPTY_CELL]60 (3/5)1 (ref)[EMPTY_CELL]
[EMPTY_CELL]68 (67/99)1.13 (0.54 - 2.34)[EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.18
[EMPTY_CELL]57 (17/30)1 (ref)[EMPTY_CELL]
[EMPTY_CELL]72 (53/74)1.26 (0.89 - 1.78)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Subgroups\", \"bbox\": [1, 4, 40, 13]}, {\"cell\": \"Favorable response %, (n)\", \"bbox\": [98, 4, 153, 22]}, {\"cell\": \"Relative Risk (95% CI)\", \"bbox\": [160, 4, 206, 22]}, {\"cell\": \"p\", \"bbox\": [222, 4, 228, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 26, 18, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 40, 84, 50]}, {\"cell\": \"67 (70/104)\", \"bbox\": [98, 40, 136, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 54, 35, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.77\", \"bbox\": [222, 54, 236, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 68, 33, 78]}, {\"cell\": \"66 (37/56)\", \"bbox\": [98, 68, 132, 78]}, {\"cell\": \"1 (ref)\", \"bbox\": [160, 68, 181, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 82, 44, 92]}, {\"cell\": \"69 (33/48)\", \"bbox\": [98, 82, 132, 92]}, {\"cell\": \"1.04 (0.80 - 1.36)\", \"bbox\": [160, 82, 214, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 96, 28, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.32\", \"bbox\": [222, 96, 236, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 110, 46, 120]}, {\"cell\": \"69 (65/94)\", \"bbox\": [98, 110, 132, 120]}, {\"cell\": \"1 (ref)\", \"bbox\": [160, 110, 181, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 123, 66, 134]}, {\"cell\": \"50 (5/10)\", \"bbox\": [98, 124, 128, 134]}, {\"cell\": \"0.72 (0.38 - 1.36)\", \"bbox\": [160, 124, 214, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 138, 15, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.14\", \"bbox\": [222, 138, 236, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 152, 62, 162]}, {\"cell\": \"76 (26/34)\", \"bbox\": [98, 152, 132, 162]}, {\"cell\": \"1 (ref)\", \"bbox\": [160, 152, 181, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 166, 62, 176]}, {\"cell\": \"63 (44/70)\", \"bbox\": [98, 166, 132, 176]}, {\"cell\": \"0.82 (0.63 - 1.06)\", \"bbox\": [160, 166, 214, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 180, 33, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.76\", \"bbox\": [222, 180, 236, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 194, 36, 202]}, {\"cell\": \"68 (23/34)\", \"bbox\": [98, 194, 132, 204]}, {\"cell\": \"1 (ref)\", \"bbox\": [160, 194, 181, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 208, 90, 218]}, {\"cell\": \"64 (14/22)\", \"bbox\": [98, 208, 132, 218]}, {\"cell\": \"0.94 (0.64 - 1.39)\", \"bbox\": [160, 208, 214, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 222, 50, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.47\", \"bbox\": [222, 222, 236, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 236, 13, 246]}, {\"cell\": \"60 (12/20)\", \"bbox\": [98, 236, 132, 246]}, {\"cell\": \"1 (ref)\", \"bbox\": [160, 236, 181, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 250, 12, 260]}, {\"cell\": \"69 (58/84)\", \"bbox\": [98, 250, 132, 260]}, {\"cell\": \"1.15 (0.78 - 1.69)\", \"bbox\": [160, 250, 214, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 264, 85, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.38\", \"bbox\": [222, 264, 236, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 276, 55, 288]}, {\"cell\": \"76 (13/17)\", \"bbox\": [98, 278, 132, 288]}, {\"cell\": \"1 (ref)\", \"bbox\": [160, 278, 181, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 290, 55, 302]}, {\"cell\": \"67 (54/81)\", \"bbox\": [98, 292, 132, 302]}, {\"cell\": \"0.87 (0.64 - 1.18)\", \"bbox\": [160, 292, 214, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 306, 61, 316]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.66\", \"bbox\": [222, 306, 236, 316]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 320, 19, 330]}, {\"cell\": \"71 (17/24)\", \"bbox\": [98, 320, 132, 330]}, {\"cell\": \"1 (ref)\", \"bbox\": [160, 320, 181, 330]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 334, 12, 344]}, {\"cell\": \"66 (53/80)\", \"bbox\": [98, 334, 132, 344]}, {\"cell\": \"0.95 (0.69 - 1.26)\", \"bbox\": [160, 334, 214, 344]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 348, 55, 358]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.75\", \"bbox\": [222, 348, 236, 358]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 362, 13, 372]}, {\"cell\": \"60 (3/5)\", \"bbox\": [98, 362, 124, 372]}, {\"cell\": \"1 (ref)\", \"bbox\": [160, 362, 181, 372]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 376, 12, 386]}, {\"cell\": \"68 (67/99)\", \"bbox\": [98, 376, 132, 386]}, {\"cell\": \"1.13 (0.54 - 2.34)\", \"bbox\": [160, 376, 214, 386]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 390, 19, 400]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.18\", \"bbox\": [222, 390, 236, 400]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 404, 33, 414]}, {\"cell\": \"57 (17/30)\", \"bbox\": [98, 404, 132, 414]}, {\"cell\": \"1 (ref)\", \"bbox\": [160, 404, 181, 414]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 418, 48, 428]}, {\"cell\": \"72 (53/74)\", \"bbox\": [98, 418, 132, 428]}, {\"cell\": \"1.26 (0.89 - 1.78)\", \"bbox\": [160, 418, 214, 428]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4297391_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariablesRangeMean or %
Student-Level[EMPTY_CELL][EMPTY_CELL]
Gender: girls[EMPTY_CELL]50, 6%
Bullying victimization[EMPTY_CELL]4, 8%
Behavioural problems (z-score)[EMPTY_CELL]0 (1)
Emotional complaints (z-score)[EMPTY_CELL]0 (1)
Psychosomatic complaints (z-score)[EMPTY_CELL]0 (1)
School-Level[EMPTY_CELL][EMPTY_CELL]
Bullying victimization (mean)[EMPTY_CELL]3.9 (0.4)
Behavioural problems (mean)[EMPTY_CELL]15.1 (0.7)
Students born abroad (%)[EMPTY_CELL]7.3 (7.0)
Parents with post-secondary education (%)[EMPTY_CELL]51.1 (15.8)
N (students)[EMPTY_CELL]
Internal attrition (students)[EMPTY_CELL]
N (schools)[EMPTY_CELL]
Internal attrition (schools)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Variables\", \"bbox\": [77, 5, 117, 16]}, {\"cell\": \"Range\", \"bbox\": [209, 5, 237, 16]}, {\"cell\": \"Mean or %\", \"bbox\": [264, 5, 310, 16]}, {\"cell\": \"Student-Level\", \"bbox\": [68, 21, 126, 32]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Gender: girls\", \"bbox\": [70, 36, 124, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 36, 230, 48]}, {\"cell\": \"50, 6%\", \"bbox\": [273, 36, 301, 48]}, {\"cell\": \"Bullying victimization\", \"bbox\": [52, 47, 142, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 47, 230, 59]}, {\"cell\": \"4, 8%\", \"bbox\": [276, 47, 299, 59]}, {\"cell\": \"Behavioural problems (z-score)\", \"bbox\": [34, 58, 160, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 58, 241, 70]}, {\"cell\": \"0 (1)\", \"bbox\": [278, 58, 297, 70]}, {\"cell\": \"Emotional complaints (z-score)\", \"bbox\": [34, 69, 159, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 69, 241, 81]}, {\"cell\": \"0 (1)\", \"bbox\": [278, 69, 297, 81]}, {\"cell\": \"Psychosomatic complaints (z-score)\", \"bbox\": [25, 81, 168, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 81, 241, 92]}, {\"cell\": \"0 (1)\", \"bbox\": [278, 81, 297, 92]}, {\"cell\": \"School-Level\", \"bbox\": [70, 96, 123, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Bullying victimization (mean)\", \"bbox\": [37, 112, 157, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 112, 237, 123]}, {\"cell\": \"3.9 (0.4)\", \"bbox\": [271, 112, 304, 123]}, {\"cell\": \"Behavioural problems (mean)\", \"bbox\": [37, 123, 157, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [204, 123, 242, 134]}, {\"cell\": \"15.1 (0.7)\", \"bbox\": [269, 123, 306, 134]}, {\"cell\": \"Students born abroad (%)\", \"bbox\": [45, 134, 148, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 134, 233, 145]}, {\"cell\": \"7.3 (7.0)\", \"bbox\": [271, 134, 304, 145]}, {\"cell\": \"Parents with post-secondary education (%)\", \"bbox\": [11, 145, 183, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 145, 235, 156]}, {\"cell\": \"51.1 (15.8)\", \"bbox\": [266, 145, 308, 156]}, {\"cell\": \"N (students)\", \"bbox\": [71, 156, 122, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [243, 156, 270, 167]}, {\"cell\": \"Internal attrition (students)\", \"bbox\": [42, 167, 152, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [243, 167, 270, 178]}, {\"cell\": \"N (schools)\", \"bbox\": [73, 178, 120, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [247, 178, 267, 189]}, {\"cell\": \"Internal attrition (schools)\", \"bbox\": [44, 189, 149, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [249, 189, 264, 200]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5800255_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
MetalChimfunshiChililabombweKafue FlatsKafue Town
rprprprp
[EMPTY_CELL]0.200.28960.060.73890.100.51860.150.2775
[EMPTY_CELL]--−0.190.2840----
[EMPTY_CELL]0.290.11020.090.5927−0.090.5530−0.090.5326
[EMPTY_CELL]0.050.7673−0.320.06080.170.26750.230.0892
[EMPTY_CELL]0.080.65640.200.2429−0.160.28670.040.7789
[EMPTY_CELL]0.390.0270 *0.400.0162 *0.370.0135 *0.58[EMPTY_CELL]
[EMPTY_CELL]0.520.0024 *−0.040.80960.450.0022 *0.470.0003 *
[EMPTY_CELL]−0.120.50940.570.0003 *−0.030.86770.100.4710
[EMPTY_CELL]−0.340.05720.400.0172 *0.080.6277--
[EMPTY_CELL]0.220.2197−0.110.54820.380.0101 *0.350.0097 *
[EMPTY_CELL]−0.260.14930.160.36990.180.2410--
\", \"cells\": [{\"cell\": \"Metal\", \"bbox\": [12, 13, 38, 21]}, {\"cell\": \"Chimfunshi\", \"bbox\": [74, 5, 126, 14]}, {\"cell\": \"Chililabombwe\", \"bbox\": [165, 5, 231, 14]}, {\"cell\": \"Kafue Flats\", \"bbox\": [272, 5, 321, 14]}, {\"cell\": \"Kafue Town\", \"bbox\": [369, 5, 421, 14]}, {\"cell\": \"r\", \"bbox\": [72, 23, 78, 32]}, {\"cell\": \"p\", \"bbox\": [121, 23, 128, 32]}, {\"cell\": \"r\", \"bbox\": [171, 23, 176, 32]}, {\"cell\": \"p\", \"bbox\": [219, 23, 226, 32]}, {\"cell\": \"r\", \"bbox\": [269, 23, 274, 32]}, {\"cell\": \"p\", \"bbox\": [317, 23, 324, 32]}, {\"cell\": \"r\", \"bbox\": [367, 23, 373, 32]}, {\"cell\": \"p\", \"bbox\": [416, 23, 423, 32]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [20, 36, 32, 48]}, {\"cell\": \"0.20\", \"bbox\": [66, 36, 84, 48]}, {\"cell\": \"0.2896\", \"bbox\": [111, 36, 138, 48]}, {\"cell\": \"0.06\", \"bbox\": [165, 36, 182, 48]}, {\"cell\": \"0.7389\", \"bbox\": [209, 36, 236, 48]}, {\"cell\": \"0.10\", \"bbox\": [263, 36, 281, 48]}, {\"cell\": \"0.5186\", \"bbox\": [308, 36, 334, 48]}, {\"cell\": \"0.15\", \"bbox\": [361, 36, 379, 48]}, {\"cell\": \"0.2775\", \"bbox\": [406, 36, 432, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [20, 47, 32, 59]}, {\"cell\": \"-\", \"bbox\": [73, 47, 78, 59]}, {\"cell\": \"-\", \"bbox\": [122, 47, 127, 59]}, {\"cell\": \"−0.19\", \"bbox\": [161, 47, 186, 59]}, {\"cell\": \"0.2840\", \"bbox\": [209, 47, 236, 59]}, {\"cell\": \"-\", \"bbox\": [269, 47, 274, 59]}, {\"cell\": \"-\", \"bbox\": [318, 47, 323, 59]}, {\"cell\": \"-\", \"bbox\": [368, 47, 372, 59]}, {\"cell\": \"-\", \"bbox\": [417, 47, 422, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [18, 58, 34, 70]}, {\"cell\": \"0.29\", \"bbox\": [66, 58, 84, 70]}, {\"cell\": \"0.1102\", \"bbox\": [111, 58, 138, 70]}, {\"cell\": \"0.09\", \"bbox\": [165, 58, 182, 70]}, {\"cell\": \"0.5927\", \"bbox\": [209, 58, 236, 70]}, {\"cell\": \"−0.09\", \"bbox\": [259, 58, 284, 70]}, {\"cell\": \"0.5530\", \"bbox\": [308, 58, 334, 70]}, {\"cell\": \"−0.09\", \"bbox\": [358, 58, 383, 70]}, {\"cell\": \"0.5326\", \"bbox\": [406, 58, 432, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [20, 69, 32, 81]}, {\"cell\": \"0.05\", \"bbox\": [66, 69, 84, 81]}, {\"cell\": \"0.7673\", \"bbox\": [111, 69, 138, 81]}, {\"cell\": \"−0.32\", \"bbox\": [161, 69, 186, 81]}, {\"cell\": \"0.0608\", \"bbox\": [209, 69, 236, 81]}, {\"cell\": \"0.17\", \"bbox\": [263, 69, 281, 81]}, {\"cell\": \"0.2675\", \"bbox\": [308, 69, 334, 81]}, {\"cell\": \"0.23\", \"bbox\": [361, 69, 379, 81]}, {\"cell\": \"0.0892\", \"bbox\": [406, 69, 432, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [19, 80, 33, 92]}, {\"cell\": \"0.08\", \"bbox\": [66, 80, 84, 92]}, {\"cell\": \"0.6564\", \"bbox\": [111, 80, 138, 92]}, {\"cell\": \"0.20\", \"bbox\": [165, 80, 182, 92]}, {\"cell\": \"0.2429\", \"bbox\": [209, 80, 236, 92]}, {\"cell\": \"−0.16\", \"bbox\": [259, 80, 284, 92]}, {\"cell\": \"0.2867\", \"bbox\": [308, 80, 334, 92]}, {\"cell\": \"0.04\", \"bbox\": [361, 80, 379, 92]}, {\"cell\": \"0.7789\", \"bbox\": [406, 80, 432, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [19, 91, 33, 103]}, {\"cell\": \"0.39\", \"bbox\": [66, 92, 84, 100]}, {\"cell\": \"0.0270 *\", \"bbox\": [108, 92, 141, 100]}, {\"cell\": \"0.40\", \"bbox\": [165, 92, 182, 100]}, {\"cell\": \"0.0162 *\", \"bbox\": [206, 92, 239, 100]}, {\"cell\": \"0.37\", \"bbox\": [263, 92, 281, 100]}, {\"cell\": \"0.0135 *\", \"bbox\": [304, 92, 337, 100]}, {\"cell\": \"0.58\", \"bbox\": [361, 92, 379, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [400, 92, 438, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [19, 103, 33, 114]}, {\"cell\": \"0.52\", \"bbox\": [66, 103, 84, 111]}, {\"cell\": \"0.0024 *\", \"bbox\": [108, 103, 141, 111]}, {\"cell\": \"−0.04\", \"bbox\": [161, 103, 186, 114]}, {\"cell\": \"0.8096\", \"bbox\": [209, 103, 236, 114]}, {\"cell\": \"0.45\", \"bbox\": [263, 103, 281, 111]}, {\"cell\": \"0.0022 *\", \"bbox\": [304, 103, 337, 111]}, {\"cell\": \"0.47\", \"bbox\": [361, 103, 379, 111]}, {\"cell\": \"0.0003 *\", \"bbox\": [403, 103, 436, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [21, 114, 32, 125]}, {\"cell\": \"−0.12\", \"bbox\": [63, 114, 88, 125]}, {\"cell\": \"0.5094\", \"bbox\": [111, 114, 138, 125]}, {\"cell\": \"0.57\", \"bbox\": [165, 114, 182, 122]}, {\"cell\": \"0.0003 *\", \"bbox\": [206, 114, 239, 122]}, {\"cell\": \"−0.03\", \"bbox\": [259, 114, 284, 125]}, {\"cell\": \"0.8677\", \"bbox\": [308, 114, 334, 125]}, {\"cell\": \"0.10\", \"bbox\": [361, 114, 379, 125]}, {\"cell\": \"0.4710\", \"bbox\": [406, 114, 432, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [19, 125, 33, 136]}, {\"cell\": \"−0.34\", \"bbox\": [63, 125, 88, 136]}, {\"cell\": \"0.0572\", \"bbox\": [111, 125, 138, 136]}, {\"cell\": \"0.40\", \"bbox\": [165, 125, 182, 133]}, {\"cell\": \"0.0172 *\", \"bbox\": [206, 125, 239, 133]}, {\"cell\": \"0.08\", \"bbox\": [263, 125, 281, 136]}, {\"cell\": \"0.6277\", \"bbox\": [308, 125, 334, 136]}, {\"cell\": \"-\", \"bbox\": [368, 125, 372, 136]}, {\"cell\": \"-\", \"bbox\": [417, 125, 422, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [19, 136, 33, 147]}, {\"cell\": \"0.22\", \"bbox\": [66, 136, 84, 147]}, {\"cell\": \"0.2197\", \"bbox\": [111, 136, 138, 147]}, {\"cell\": \"−0.11\", \"bbox\": [161, 136, 186, 147]}, {\"cell\": \"0.5482\", \"bbox\": [209, 136, 236, 147]}, {\"cell\": \"0.38\", \"bbox\": [263, 136, 281, 144]}, {\"cell\": \"0.0101 *\", \"bbox\": [304, 136, 337, 144]}, {\"cell\": \"0.35\", \"bbox\": [361, 136, 379, 144]}, {\"cell\": \"0.0097 *\", \"bbox\": [403, 136, 436, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [20, 147, 32, 158]}, {\"cell\": \"−0.26\", \"bbox\": [63, 147, 88, 158]}, {\"cell\": \"0.1493\", \"bbox\": [111, 147, 138, 158]}, {\"cell\": \"0.16\", \"bbox\": [165, 147, 182, 158]}, {\"cell\": \"0.3699\", \"bbox\": [209, 147, 236, 158]}, {\"cell\": \"0.18\", \"bbox\": [263, 147, 281, 158]}, {\"cell\": \"0.2410\", \"bbox\": [308, 147, 334, 158]}, {\"cell\": \"-\", \"bbox\": [368, 147, 373, 158]}, {\"cell\": \"-\", \"bbox\": [417, 147, 422, 158]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5536036_013_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariableMeanSD
WTP (The highest bid which a person was willing to pay) (RMB/year)329.94[EMPTY_CELL]
Annual per capita income (RMB)[EMPTY_CELL][EMPTY_CELL]
Lowest 25%3472.62[EMPTY_CELL]
Middle 25%7347.68[EMPTY_CELL]
Higher 25%12,874.09[EMPTY_CELL]
Highest 25%36,232.52[EMPTY_CELL]
VariableN[EMPTY_CELL]
Province[EMPTY_CELL][EMPTY_CELL]
Qinghai901[EMPTY_CELL]
Zhejiang842[EMPTY_CELL]
Sex
Male1075[EMPTY_CELL]
Female668[EMPTY_CELL]
Age (year)
≤35370[EMPTY_CELL]
35–65972[EMPTY_CELL]
≥65401[EMPTY_CELL]
Marital status
Married1292[EMPTY_CELL]
Single, divorced, or widowed451[EMPTY_CELL]
Education status
Primary education or below538[EMPTY_CELL]
Secondary education848[EMPTY_CELL]
Tertiary education357[EMPTY_CELL]
The type of public health insurance
UEBMI508[EMPTY_CELL]
URBMI/NCMS387[EMPTY_CELL]
Not covered or did not know the type848[EMPTY_CELL]
Having chronic conditions
Yes621[EMPTY_CELL]
No1122[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Variable\", \"bbox\": [129, 5, 165, 14]}, {\"cell\": \"Mean\", \"bbox\": [311, 5, 336, 14]}, {\"cell\": \"SD\", \"bbox\": [377, 5, 392, 14]}, {\"cell\": \"WTP (The highest bid which a person was willing to pay) (RMB/year)\", \"bbox\": [6, 21, 287, 32]}, {\"cell\": \"329.94\", \"bbox\": [310, 21, 337, 32]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [371, 21, 398, 32]}, {\"cell\": \"Annual per capita income (RMB)\", \"bbox\": [6, 36, 139, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Lowest 25%\", \"bbox\": [15, 47, 65, 59]}, {\"cell\": \"3472.62\", \"bbox\": [308, 47, 339, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [369, 47, 400, 59]}, {\"cell\": \" Middle 25%\", \"bbox\": [15, 58, 65, 70]}, {\"cell\": \"7347.68\", \"bbox\": [308, 58, 339, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [369, 58, 400, 70]}, {\"cell\": \" Higher 25%\", \"bbox\": [15, 69, 64, 81]}, {\"cell\": \"12,874.09\", \"bbox\": [304, 69, 342, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [369, 69, 400, 81]}, {\"cell\": \" Highest 25%\", \"bbox\": [15, 80, 67, 92]}, {\"cell\": \"36,232.52\", \"bbox\": [304, 80, 342, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [365, 80, 403, 92]}, {\"cell\": \"Variable\", \"bbox\": [6, 96, 41, 107]}, {\"cell\": \"N\", \"bbox\": [319, 96, 328, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [380, 96, 389, 107]}, {\"cell\": \"Province\", \"bbox\": [6, 112, 43, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Qinghai\", \"bbox\": [15, 123, 50, 134]}, {\"cell\": \"901\", \"bbox\": [316, 123, 331, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [373, 123, 395, 134]}, {\"cell\": \" Zhejiang\", \"bbox\": [15, 134, 52, 145]}, {\"cell\": \"842\", \"bbox\": [316, 134, 331, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [373, 134, 395, 145]}, {\"cell\": \"Sex\", \"bbox\": [6, 150, 22, 161]}, {\"cell\": \" Male\", \"bbox\": [15, 161, 37, 172]}, {\"cell\": \"1075\", \"bbox\": [313, 161, 333, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [373, 161, 395, 172]}, {\"cell\": \" Female\", \"bbox\": [15, 172, 46, 183]}, {\"cell\": \"668\", \"bbox\": [316, 172, 331, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [373, 172, 395, 183]}, {\"cell\": \"Age (year)\", \"bbox\": [6, 188, 50, 199]}, {\"cell\": \" ≤35\", \"bbox\": [16, 199, 34, 210]}, {\"cell\": \"370\", \"bbox\": [316, 199, 331, 210]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [373, 199, 395, 210]}, {\"cell\": \" 35–65\", \"bbox\": [15, 210, 40, 221]}, {\"cell\": \"972\", \"bbox\": [316, 210, 331, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [373, 210, 395, 221]}, {\"cell\": \" ≥65\", \"bbox\": [16, 221, 34, 232]}, {\"cell\": \"401\", \"bbox\": [316, 221, 331, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [373, 221, 395, 232]}, {\"cell\": \"Marital status\", \"bbox\": [6, 237, 63, 248]}, {\"cell\": \" Married\", \"bbox\": [15, 248, 50, 259]}, {\"cell\": \"1292\", \"bbox\": [313, 248, 333, 259]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [373, 248, 395, 259]}, {\"cell\": \" Single, divorced, or widowed\", \"bbox\": [15, 259, 134, 270]}, {\"cell\": \"451\", \"bbox\": [316, 259, 331, 270]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [373, 259, 395, 270]}, {\"cell\": \"Education status\", \"bbox\": [6, 274, 75, 285]}, {\"cell\": \" Primary education or below\", \"bbox\": [15, 285, 129, 297]}, {\"cell\": \"538\", \"bbox\": [316, 285, 331, 297]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [373, 285, 395, 297]}, {\"cell\": \" Secondary education\", \"bbox\": [15, 296, 101, 308]}, {\"cell\": \"848\", \"bbox\": [316, 296, 331, 308]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [373, 296, 395, 308]}, {\"cell\": \" Tertiary education\", \"bbox\": [15, 307, 90, 319]}, {\"cell\": \"357\", \"bbox\": [316, 307, 331, 319]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [373, 307, 395, 319]}, {\"cell\": \"The type of public health insurance\", \"bbox\": [6, 323, 148, 334]}, {\"cell\": \" UEBMI\", \"bbox\": [15, 334, 47, 345]}, {\"cell\": \"508\", \"bbox\": [316, 334, 331, 345]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [373, 334, 395, 345]}, {\"cell\": \" URBMI/NCMS\", \"bbox\": [15, 345, 80, 356]}, {\"cell\": \"387\", \"bbox\": [316, 345, 331, 356]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [373, 345, 395, 356]}, {\"cell\": \" Not covered or did not know the type\", \"bbox\": [15, 356, 167, 367]}, {\"cell\": \"848\", \"bbox\": [316, 356, 331, 367]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [373, 356, 395, 367]}, {\"cell\": \"Having chronic conditions\", \"bbox\": [6, 372, 114, 383]}, {\"cell\": \" Yes\", \"bbox\": [15, 383, 31, 394]}, {\"cell\": \"621\", \"bbox\": [316, 383, 331, 394]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [373, 383, 395, 394]}, {\"cell\": \" No\", \"bbox\": [15, 394, 30, 405]}, {\"cell\": \"1122\", \"bbox\": [313, 394, 333, 405]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [373, 394, 395, 405]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5800106_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Health indicatorNFHS 1 (1992-1993)NFHS 2 (1998-1999)NFHS 3 (2005-2006)
Any ANC[EMPTY_CELL]98.498.6
3 ANC visits[EMPTY_CELL]91.495.9
ANC given by doctor[EMPTY_CELL]84.383.6
ANC given by ANM/nurse-midwife/LHV[EMPTY_CELL]9.814.3
ANC given by health worker in the home[EMPTY_CELL]4.43.3
Others/dai/none[EMPTY_CELL]1.31.1
Postnatal check-up within 2 months of birth[EMPTY_CELL]53.091.3
Institutional delivery[EMPTY_CELL]7987.8
Caesarean-section rate[EMPTY_CELL]15.825.0
\", \"cells\": [{\"cell\": \"Health indicator\", \"bbox\": [6, 11, 81, 23]}, {\"cell\": \"NFHS 1 (1992-1993)\", \"bbox\": [224, 5, 280, 28]}, {\"cell\": \"NFHS 2 (1998-1999)\", \"bbox\": [300, 5, 355, 28]}, {\"cell\": \"NFHS 3 (2005-2006)\", \"bbox\": [375, 5, 430, 28]}, {\"cell\": \"Any ANC\", \"bbox\": [6, 32, 50, 44]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [241, 32, 262, 44]}, {\"cell\": \"98.4\", \"bbox\": [317, 32, 338, 44]}, {\"cell\": \"98.6\", \"bbox\": [392, 32, 413, 44]}, {\"cell\": \"3 ANC visits\", \"bbox\": [6, 47, 62, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [241, 47, 262, 58]}, {\"cell\": \"91.4\", \"bbox\": [317, 47, 338, 58]}, {\"cell\": \"95.9\", \"bbox\": [392, 47, 413, 58]}, {\"cell\": \"ANC given by doctor\", \"bbox\": [6, 61, 101, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [241, 61, 262, 72]}, {\"cell\": \"84.3\", \"bbox\": [317, 61, 338, 72]}, {\"cell\": \"83.6\", \"bbox\": [392, 61, 413, 72]}, {\"cell\": \"ANC given by ANM/nurse-midwife/LHV\", \"bbox\": [6, 75, 187, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 75, 260, 86]}, {\"cell\": \"9.8\", \"bbox\": [320, 75, 335, 86]}, {\"cell\": \"14.3\", \"bbox\": [392, 75, 413, 86]}, {\"cell\": \"ANC given by health worker in the home\", \"bbox\": [6, 89, 192, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [241, 89, 262, 100]}, {\"cell\": \"4.4\", \"bbox\": [320, 89, 335, 100]}, {\"cell\": \"3.3\", \"bbox\": [395, 89, 411, 100]}, {\"cell\": \"Others/dai/none\", \"bbox\": [6, 103, 81, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 103, 260, 115]}, {\"cell\": \"1.3\", \"bbox\": [320, 103, 335, 115]}, {\"cell\": \"1.1\", \"bbox\": [395, 103, 411, 115]}, {\"cell\": \"Postnatal check-up within 2 months of birth\", \"bbox\": [6, 117, 206, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [249, 117, 255, 129]}, {\"cell\": \"53.0\", \"bbox\": [317, 117, 338, 129]}, {\"cell\": \"91.3\", \"bbox\": [392, 117, 413, 129]}, {\"cell\": \"Institutional delivery\", \"bbox\": [6, 132, 101, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [245, 132, 258, 143]}, {\"cell\": \"79\", \"bbox\": [321, 132, 334, 143]}, {\"cell\": \"87.8\", \"bbox\": [392, 132, 413, 143]}, {\"cell\": \"Caesarean-section rate\", \"bbox\": [6, 146, 107, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [241, 146, 262, 157]}, {\"cell\": \"15.8\", \"bbox\": [317, 146, 338, 157]}, {\"cell\": \"25.0\", \"bbox\": [392, 146, 413, 157]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2761773_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariableAll patients with AF (N = 557,123)AF patients without history of GI at baseline (N = 413,168)
[EMPTY_CELL]Number of GI casesaPrevalence of GI (per 100 persons) [95% CIb]Number of incident GI casescCumulative incidence (per 100 persons) [95% CIb]
Any GI event308,82355.4 [55.3,55.6][EMPTY_CELL]39.9 [39.8,40.1]
GI events based on the RE-LY study classificationd215,94238.8 [38.6,38.9][EMPTY_CELL]26.3 [26.1,26.4]
Dyspepsiae164,89229.6 [29.5,29.7][EMPTY_CELL]19.1 [19.0,19.3]
Gastrointestinal bleeding52,9799.5 [9.4,9.6][EMPTY_CELL]6.3 [6.2,6.4]
Vomiting46,8668.4 [8.3,8.5][EMPTY_CELL]4.9 [4.8,5.0]
Diarrhea43,6287.8 [7.8,7.9][EMPTY_CELL]4.8 [4.8,4.9]
Other GI events[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Diverticula of intestine62,63811.2 [11.2,11.3][EMPTY_CELL]7.5 [7.4,7.6]
Gastroesophageal reflux disease63,15911.3 [11.3,11.4][EMPTY_CELL]7.0 [6.9,7.1]
Other disorders of intestine49,7368.9 [8.9,9.0][EMPTY_CELL]5.7 [5.6,5.7]
Dysphagia46,5068.3 [8.3,8.4][EMPTY_CELL]5.3 [5.3,5.4]
Gastritis and duodenitis46,9748.4 [8.4,8.5][EMPTY_CELL]5.2 [5.1,5.3]
Constipation35,8326.4 [6.4,6.5][EMPTY_CELL]4.0 [4.0,4.1]
Noninfectious gastroenteritis and colitis29,6025.3 [5.3,5.4][EMPTY_CELL]3.1 [3.1,3.2]
Esophagitis28,0925.0 [5.0,5.1][EMPTY_CELL]2.9 [2.8,2.9]
Nausea Alone22,6734.1 [4.0,4.1][EMPTY_CELL]2.4 [2.4,2.5]
Malignant neoplasm of digestive organs and peritoneum18,1073.3 [3.2,3.3][EMPTY_CELL]1.3 [1.3,1.4]
Flatulence, eructation and gas pain17,2633.1 [3.1,3.1][EMPTY_CELL]1.7 [1.7,1.8]
Peptic ulcer diseases13,9142.5 [2.5,2.5][EMPTY_CELL]1.5 [1.5,1.6]
Any GI-related hospitalization121,18921.8 [21.6,21.9][EMPTY_CELL]13.5 [13.4,13.6]
\", \"cells\": [{\"cell\": \"Variable\", \"bbox\": [1, 4, 31, 13]}, {\"cell\": \"All patients with AF (N = 557,123)\", \"bbox\": [159, 4, 277, 13]}, {\"cell\": \"AF patients without history of GI at baseline (N = 413,168)\", \"bbox\": [289, 4, 483, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Number of GI casesa\", \"bbox\": [159, 17, 199, 36]}, {\"cell\": \"Prevalence of GI (per 100 persons) [95% CIb]\", \"bbox\": [204, 17, 283, 36]}, {\"cell\": \"Number of incident GI casesc\", \"bbox\": [289, 17, 358, 36]}, {\"cell\": \"Cumulative incidence (per 100 persons) [95% CIb]\", \"bbox\": [375, 17, 473, 36]}, {\"cell\": \"Any GI event\", \"bbox\": [1, 39, 44, 49]}, {\"cell\": \"308,823\", \"bbox\": [159, 39, 186, 49]}, {\"cell\": \"55.4 [55.3,55.6]\", \"bbox\": [204, 39, 252, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 39, 315, 49]}, {\"cell\": \"39.9 [39.8,40.1]\", \"bbox\": [375, 39, 424, 49]}, {\"cell\": \"GI events based on the RE-LY study classificationd\", \"bbox\": [1, 52, 154, 63]}, {\"cell\": \"215,942\", \"bbox\": [159, 53, 186, 63]}, {\"cell\": \"38.8 [38.6,38.9]\", \"bbox\": [204, 53, 252, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 53, 314, 63]}, {\"cell\": \"26.3 [26.1,26.4]\", \"bbox\": [375, 53, 424, 63]}, {\"cell\": \"Dyspepsiae\", \"bbox\": [1, 66, 38, 77]}, {\"cell\": \"164,892\", \"bbox\": [159, 67, 186, 77]}, {\"cell\": \"29.6 [29.5,29.7]\", \"bbox\": [204, 67, 252, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 67, 311, 77]}, {\"cell\": \"19.1 [19.0,19.3]\", \"bbox\": [375, 67, 424, 77]}, {\"cell\": \"Gastrointestinal bleeding\", \"bbox\": [1, 81, 82, 91]}, {\"cell\": \"52,979\", \"bbox\": [159, 81, 182, 91]}, {\"cell\": \"9.5 [9.4,9.6]\", \"bbox\": [204, 81, 241, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 81, 311, 91]}, {\"cell\": \"6.3 [6.2,6.4]\", \"bbox\": [375, 81, 412, 91]}, {\"cell\": \"Vomiting\", \"bbox\": [1, 95, 32, 105]}, {\"cell\": \"46,866\", \"bbox\": [159, 95, 182, 105]}, {\"cell\": \"8.4 [8.3,8.5]\", \"bbox\": [204, 95, 241, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 95, 311, 105]}, {\"cell\": \"4.9 [4.8,5.0]\", \"bbox\": [375, 95, 412, 105]}, {\"cell\": \"Diarrhea\", \"bbox\": [1, 109, 29, 119]}, {\"cell\": \"43,628\", \"bbox\": [159, 109, 182, 119]}, {\"cell\": \"7.8 [7.8,7.9]\", \"bbox\": [204, 109, 241, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 109, 311, 119]}, {\"cell\": \"4.8 [4.8,4.9]\", \"bbox\": [375, 109, 412, 119]}, {\"cell\": \"Other GI events\", \"bbox\": [1, 123, 53, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Diverticula of intestine\", \"bbox\": [1, 137, 74, 147]}, {\"cell\": \"62,638\", \"bbox\": [159, 137, 182, 147]}, {\"cell\": \"11.2 [11.2,11.3]\", \"bbox\": [204, 137, 252, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 137, 311, 147]}, {\"cell\": \"7.5 [7.4,7.6]\", \"bbox\": [375, 137, 412, 147]}, {\"cell\": \"Gastroesophageal reflux disease\", \"bbox\": [1, 151, 105, 161]}, {\"cell\": \"63,159\", \"bbox\": [159, 151, 182, 161]}, {\"cell\": \"11.3 [11.3,11.4]\", \"bbox\": [204, 151, 252, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 151, 311, 161]}, {\"cell\": \"7.0 [6.9,7.1]\", \"bbox\": [375, 151, 412, 161]}, {\"cell\": \"Other disorders of intestine\", \"bbox\": [1, 165, 90, 175]}, {\"cell\": \"49,736\", \"bbox\": [159, 165, 182, 175]}, {\"cell\": \"8.9 [8.9,9.0]\", \"bbox\": [204, 165, 241, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 165, 311, 175]}, {\"cell\": \"5.7 [5.6,5.7]\", \"bbox\": [375, 165, 412, 175]}, {\"cell\": \"Dysphagia\", \"bbox\": [1, 179, 36, 189]}, {\"cell\": \"46,506\", \"bbox\": [159, 179, 182, 189]}, {\"cell\": \"8.3 [8.3,8.4]\", \"bbox\": [204, 179, 241, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 179, 311, 189]}, {\"cell\": \"5.3 [5.3,5.4]\", \"bbox\": [375, 179, 412, 189]}, {\"cell\": \"Gastritis and duodenitis\", \"bbox\": [1, 193, 78, 203]}, {\"cell\": \"46,974\", \"bbox\": [159, 193, 182, 203]}, {\"cell\": \"8.4 [8.4,8.5]\", \"bbox\": [204, 193, 241, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 193, 311, 203]}, {\"cell\": \"5.2 [5.1,5.3]\", \"bbox\": [375, 193, 412, 203]}, {\"cell\": \"Constipation\", \"bbox\": [1, 207, 43, 217]}, {\"cell\": \"35,832\", \"bbox\": [159, 207, 182, 217]}, {\"cell\": \"6.4 [6.4,6.5]\", \"bbox\": [204, 207, 241, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 207, 311, 217]}, {\"cell\": \"4.0 [4.0,4.1]\", \"bbox\": [375, 207, 412, 217]}, {\"cell\": \"Noninfectious gastroenteritis and colitis\", \"bbox\": [1, 221, 129, 231]}, {\"cell\": \"29,602\", \"bbox\": [159, 221, 182, 231]}, {\"cell\": \"5.3 [5.3,5.4]\", \"bbox\": [204, 221, 241, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 221, 311, 231]}, {\"cell\": \"3.1 [3.1,3.2]\", \"bbox\": [375, 221, 412, 231]}, {\"cell\": \"Esophagitis\", \"bbox\": [1, 235, 38, 245]}, {\"cell\": \"28,092\", \"bbox\": [159, 235, 182, 245]}, {\"cell\": \"5.0 [5.0,5.1]\", \"bbox\": [204, 235, 241, 245]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 235, 311, 245]}, {\"cell\": \"2.9 [2.8,2.9]\", \"bbox\": [375, 235, 412, 245]}, {\"cell\": \"Nausea Alone\", \"bbox\": [1, 249, 47, 259]}, {\"cell\": \"22,673\", \"bbox\": [159, 249, 182, 259]}, {\"cell\": \"4.1 [4.0,4.1]\", \"bbox\": [204, 249, 241, 259]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 249, 307, 259]}, {\"cell\": \"2.4 [2.4,2.5]\", \"bbox\": [375, 249, 412, 259]}, {\"cell\": \"Malignant neoplasm of digestive organs and peritoneum\", \"bbox\": [1, 263, 132, 282]}, {\"cell\": \"18,107\", \"bbox\": [159, 263, 182, 273]}, {\"cell\": \"3.3 [3.2,3.3]\", \"bbox\": [204, 263, 241, 273]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 263, 307, 273]}, {\"cell\": \"1.3 [1.3,1.4]\", \"bbox\": [375, 263, 412, 273]}, {\"cell\": \"Flatulence, eructation and gas pain\", \"bbox\": [1, 286, 115, 296]}, {\"cell\": \"17,263\", \"bbox\": [159, 286, 182, 296]}, {\"cell\": \"3.1 [3.1,3.1]\", \"bbox\": [204, 286, 241, 296]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 286, 307, 296]}, {\"cell\": \"1.7 [1.7,1.8]\", \"bbox\": [375, 286, 412, 296]}, {\"cell\": \"Peptic ulcer diseases\", \"bbox\": [1, 300, 68, 310]}, {\"cell\": \"13,914\", \"bbox\": [159, 300, 182, 310]}, {\"cell\": \"2.5 [2.5,2.5]\", \"bbox\": [204, 300, 241, 310]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 300, 307, 310]}, {\"cell\": \"1.5 [1.5,1.6]\", \"bbox\": [375, 300, 412, 310]}, {\"cell\": \"Any GI-related hospitalization\", \"bbox\": [1, 314, 96, 324]}, {\"cell\": \"121,189\", \"bbox\": [159, 314, 186, 324]}, {\"cell\": \"21.8 [21.6,21.9]\", \"bbox\": [204, 314, 252, 324]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 314, 311, 324]}, {\"cell\": \"13.5 [13.4,13.6]\", \"bbox\": [375, 314, 424, 324]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4210454_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]‘Persistently intermediate’ versus ‘persistently low’‘Intermediate to low’ versus ‘persistently low’‘Persistently high’ versus ‘persistently low’
[EMPTY_CELL]OR (95% CI)*OR (95% CI)*OR (95% CI)*
Age (years)
<501.00[EMPTY_CELL]1.00
≥500.90 (0.77 to 1.07)[EMPTY_CELL]0.55 (0.43 to 0.70)
Sex
Male1.00[EMPTY_CELL]1.00
Female1.53 (1.29 to 1.81)[EMPTY_CELL]1.80 (1.45 to 2.24)
Socioeconomic status
High1.00[EMPTY_CELL]1.00
Intermediate0.98 (0.83 to 1.15)[EMPTY_CELL]1.34 (1.07 to 1.67)
Low0.90 (0.71 to 1.15)[EMPTY_CELL]1.47 (1.08 to 2.00)
Smoking
No1.00[EMPTY_CELL]1.00
Yes1.34 (1.09 to 1.65)[EMPTY_CELL]1.55 (1.20 to 2.01)
Alcohol use
Within recommended limits1.00[EMPTY_CELL]1.00
No use1.11 (0.91 to 1.35)[EMPTY_CELL]1.22 (0.96 to 1.56)
Above recommended limits1.16 (0.95 to 1.42)[EMPTY_CELL]1.16 (0.88 to 1.52)
Obesity
No1.00[EMPTY_CELL]1.00
Yes1.35 (1.07 to 1.71)[EMPTY_CELL]1.49 (1.11 to 1.99)
Hypertension
No1.00[EMPTY_CELL]1.00
Yes1.06 (0.89 to 1.27)[EMPTY_CELL]1.06 (0.83 to 1.36)
High total cholesterol (≥5.0 mmol/L)
No1.00[EMPTY_CELL]1.00
Yes1.23 (0.93 to 1.62)[EMPTY_CELL]1.05 (0.76 to 1.46)
Total cholesterol level (mmol/L)
<5.01.00[EMPTY_CELL]1.00
5.0–<6.51.18 (0.89 to 1.56)[EMPTY_CELL]1.10 (0.78 to 1.55)
≥6.51.28 (0.96 to 1.70)[EMPTY_CELL]0.99 (0.70 to 1.41)
Diabetes
No1.00[EMPTY_CELL]1.00
Yes1.07 (0.69 to 1.65)[EMPTY_CELL]0.73 (0.37 to 1.46)
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65, 335, 74]}, {\"cell\": \"0.55 (0.43 to 0.70)\", \"bbox\": [422, 65, 479, 74]}, {\"cell\": \"Sex\", \"bbox\": [0, 76, 12, 85]}, {\"cell\": \" Male\", \"bbox\": [8, 87, 24, 96]}, {\"cell\": \"1.00\", \"bbox\": [142, 87, 156, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 87, 293, 96]}, {\"cell\": \"1.00\", \"bbox\": [422, 87, 437, 96]}, {\"cell\": \" Female\", \"bbox\": [8, 98, 30, 107]}, {\"cell\": \"1.53 (1.29 to 1.81)\", \"bbox\": [142, 98, 198, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 98, 335, 107]}, {\"cell\": \"1.80 (1.45 to 2.24)\", \"bbox\": [422, 98, 479, 107]}, {\"cell\": \"Socioeconomic status\", \"bbox\": [0, 109, 63, 118]}, {\"cell\": \" High\", \"bbox\": [8, 120, 23, 129]}, {\"cell\": \"1.00\", \"bbox\": [142, 120, 156, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 120, 293, 129]}, {\"cell\": \"1.00\", \"bbox\": [422, 120, 437, 129]}, {\"cell\": \" Intermediate\", \"bbox\": [8, 131, 46, 140]}, {\"cell\": \"0.98 (0.83 to 1.15)\", \"bbox\": [142, 131, 198, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 131, 335, 140]}, {\"cell\": \"1.34 (1.07 to 1.67)\", \"bbox\": [422, 131, 479, 140]}, {\"cell\": \" Low\", \"bbox\": [8, 142, 22, 151]}, {\"cell\": \"0.90 (0.71 to 1.15)\", \"bbox\": [142, 142, 198, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 142, 335, 151]}, {\"cell\": \"1.47 (1.08 to 2.00)\", \"bbox\": [422, 142, 479, 151]}, {\"cell\": \"Smoking\", \"bbox\": [0, 153, 27, 162]}, {\"cell\": \" No\", \"bbox\": [8, 164, 18, 173]}, {\"cell\": \"1.00\", \"bbox\": [142, 164, 156, 173]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 164, 293, 173]}, {\"cell\": \"1.00\", \"bbox\": [422, 164, 437, 173]}, {\"cell\": \" Yes\", \"bbox\": [8, 175, 20, 184]}, {\"cell\": \"1.34 (1.09 to 1.65)\", \"bbox\": [142, 175, 198, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 175, 335, 184]}, {\"cell\": \"1.55 (1.20 to 2.01)\", \"bbox\": [422, 175, 479, 184]}, {\"cell\": \"Alcohol use\", \"bbox\": [0, 186, 36, 195]}, {\"cell\": \" Within recommended limits\", \"bbox\": [8, 197, 88, 206]}, {\"cell\": \"1.00\", \"bbox\": [142, 197, 156, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 197, 293, 206]}, {\"cell\": \"1.00\", \"bbox\": [422, 197, 437, 206]}, {\"cell\": \" No use\", \"bbox\": [8, 208, 30, 217]}, {\"cell\": \"1.11 (0.91 to 1.35)\", \"bbox\": [142, 208, 198, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 208, 335, 217]}, {\"cell\": \"1.22 (0.96 to 1.56)\", \"bbox\": [422, 208, 479, 217]}, {\"cell\": \" Above recommended limits\", \"bbox\": [8, 219, 87, 228]}, {\"cell\": \"1.16 (0.95 to 1.42)\", \"bbox\": [142, 219, 198, 228]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 219, 335, 228]}, {\"cell\": \"1.16 (0.88 to 1.52)\", \"bbox\": [422, 219, 479, 228]}, {\"cell\": \"Obesity\", \"bbox\": [0, 230, 23, 239]}, {\"cell\": \" No\", \"bbox\": [8, 241, 18, 250]}, {\"cell\": \"1.00\", \"bbox\": [142, 241, 156, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 241, 293, 250]}, {\"cell\": \"1.00\", \"bbox\": [422, 241, 437, 250]}, {\"cell\": \" Yes\", \"bbox\": [8, 252, 20, 261]}, {\"cell\": \"1.35 (1.07 to 1.71)\", \"bbox\": [142, 252, 198, 261]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 252, 335, 261]}, {\"cell\": \"1.49 (1.11 to 1.99)\", \"bbox\": [422, 252, 479, 261]}, {\"cell\": \"Hypertension\", \"bbox\": [0, 263, 39, 272]}, {\"cell\": \" No\", \"bbox\": [8, 274, 18, 283]}, {\"cell\": \"1.00\", \"bbox\": [142, 274, 156, 283]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 274, 293, 283]}, {\"cell\": \"1.00\", \"bbox\": [422, 274, 437, 283]}, {\"cell\": \" Yes\", \"bbox\": [8, 285, 20, 294]}, {\"cell\": \"1.06 (0.89 to 1.27)\", \"bbox\": [142, 285, 198, 294]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 285, 335, 294]}, {\"cell\": \"1.06 (0.83 to 1.36)\", \"bbox\": [422, 285, 479, 294]}, {\"cell\": \"High total cholesterol (≥5.0 mmol/L)\", \"bbox\": [0, 296, 107, 305]}, {\"cell\": \" No\", \"bbox\": [8, 307, 18, 316]}, {\"cell\": \"1.00\", \"bbox\": [142, 307, 156, 316]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 307, 293, 316]}, {\"cell\": \"1.00\", \"bbox\": [422, 307, 437, 316]}, {\"cell\": \" Yes\", \"bbox\": [8, 318, 20, 327]}, {\"cell\": \"1.23 (0.93 to 1.62)\", \"bbox\": [142, 318, 198, 327]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 318, 335, 327]}, {\"cell\": \"1.05 (0.76 to 1.46)\", \"bbox\": [422, 318, 479, 327]}, {\"cell\": \"Total cholesterol level (mmol/L)\", \"bbox\": [0, 329, 91, 338]}, {\"cell\": \" <5.0\", \"bbox\": [8, 340, 23, 349]}, {\"cell\": \"1.00\", \"bbox\": [142, 340, 156, 349]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 340, 293, 349]}, {\"cell\": \"1.00\", \"bbox\": [422, 340, 437, 349]}, {\"cell\": \" 5.0–<6.5\", \"bbox\": [8, 351, 36, 360]}, {\"cell\": \"1.18 (0.89 to 1.56)\", \"bbox\": [142, 351, 198, 360]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 351, 335, 360]}, {\"cell\": \"1.10 (0.78 to 1.55)\", \"bbox\": [422, 351, 479, 360]}, {\"cell\": \" ≥6.5\", \"bbox\": [8, 362, 24, 371]}, {\"cell\": \"1.28 (0.96 to 1.70)\", \"bbox\": [142, 362, 198, 371]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 362, 335, 371]}, {\"cell\": \"0.99 (0.70 to 1.41)\", \"bbox\": [422, 362, 479, 371]}, {\"cell\": \"Diabetes\", \"bbox\": [0, 373, 27, 382]}, {\"cell\": \" No\", \"bbox\": [8, 384, 18, 393]}, {\"cell\": \"1.00\", \"bbox\": [142, 384, 156, 393]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 384, 293, 393]}, {\"cell\": \"1.00\", \"bbox\": [422, 384, 437, 393]}, {\"cell\": \" Yes\", \"bbox\": [8, 395, 20, 404]}, {\"cell\": \"1.07 (0.69 to 1.65)\", \"bbox\": [142, 395, 198, 404]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 395, 335, 404]}, {\"cell\": \"0.73 (0.37 to 1.46)\", \"bbox\": [422, 395, 479, 404]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5529979_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
EIQ equation componentEquation
[EMPTY_CELL]c*((dt*5) + (dt*p))
[EMPTY_CELL](c*(s + p)/2*sy) + (L)
[EMPTY_CELL](f*r) + (d*(s+p)/2*3) + (z*p*3) + (b*p*5)
[EMPTY_CELL]{[c*(dt*5)+(dt*p)]+[(c*(s+p)/2*sy)+(L)+[(f*r)+(d*(s+p)/2*3)+(z*p*3)+(b*p*5)]}/3
[EMPTY_CELL]EIQ * % active ingredient * rate/acre
\", \"cells\": [{\"cell\": \"EIQ equation component\", \"bbox\": [7, 6, 127, 18]}, {\"cell\": \"Equation\", \"bbox\": [277, 6, 323, 18]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 21, 172, 33]}, {\"cell\": \"c*((dt*5) + (dt*p))\", \"bbox\": [277, 21, 363, 33]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 36, 203, 48]}, {\"cell\": \"(c*(s + p)/2*sy) + (L)\", \"bbox\": [277, 36, 376, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 51, 231, 63]}, {\"cell\": \"(f*r) + (d*(s+p)/2*3) + (z*p*3) + (b*p*5)\", \"bbox\": [277, 51, 465, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 73, 220, 86]}, {\"cell\": \"{[c*(dt*5)+(dt*p)]+[(c*(s+p)/2*sy)+(L)+[(f*r)+(d*(s+p)/2*3)+(z*p*3)+(b*p*5)]}/3\", \"bbox\": [277, 66, 470, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 96, 72, 108]}, {\"cell\": \"EIQ * % active ingredient * rate/acre\", \"bbox\": [277, 96, 443, 108]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3290991_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Compd.R1R2Fungicidal activity (%)/50 μg/mL
P. aR. sV. mS. sB. cF. mG. g. t
[EMPTY_CELL]MeMe5.219.717.833.66.911.84.5
[EMPTY_CELL]MeEt12.930.714.440.15.715.831.7
[EMPTY_CELL]Mei-Pr12.140.653.072.820.817.08.9
[EMPTY_CELL]MePh35.162.291.992.674.149.7100
[EMPTY_CELL]Me4-OMePh25.463.491.584.861.848.5100
[EMPTY_CELL]Me4-ClPh15.354.757.685.352.327.435.7
[EMPTY_CELL]PhMe30.626.823.348.428.822.679.0
[EMPTY_CELL]PhEt40.339.465.784.366.248.599.1
[EMPTY_CELL]Phn-Pr53.661.086.497.278.954.596.1
[EMPTY_CELL]Phi-Pr50.456.786.088.079.350.990.1
[EMPTY_CELL]PhPh12.133.547.572.837.136.287.1
[EMPTY_CELL]2-ClPhMe20.219.749.688.535.121.078.6
[EMPTY_CELL]2-ClPh4-ClPh4.822.436.947.936.717.876.4
[EMPTY_CELL]t-BuMe17.724.824.632.724.017.026.3
[EMPTY_CELL]3-ClPyCl24.226.839.845.647.927.065.7
[EMPTY_CELL]3-ClPyBr38.739.056.859.942.728.672.6
[EMPTY_CELL]––47.410089.010084.578.5100
\", \"cells\": [{\"cell\": \"Compd.\", \"bbox\": [1, 4, 30, 14]}, {\"cell\": \"R1\", \"bbox\": [78, 3, 87, 14]}, {\"cell\": \"R2\", \"bbox\": [130, 3, 140, 14]}, {\"cell\": \"Fungicidal activity (%)/50 μg/mL\", \"bbox\": [192, 4, 306, 14]}, {\"cell\": \"P. a\", \"bbox\": [192, 20, 206, 30]}, {\"cell\": \"R. s\", \"bbox\": [237, 20, 250, 30]}, {\"cell\": \"V. m\", \"bbox\": [282, 20, 298, 30]}, {\"cell\": \"S. s\", \"bbox\": [328, 20, 341, 30]}, {\"cell\": \"B. c\", \"bbox\": [373, 20, 386, 30]}, {\"cell\": \"F. m\", \"bbox\": [418, 20, 433, 30]}, {\"cell\": \"G. g. t\", \"bbox\": [463, 20, 484, 30]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 38, 16, 48]}, {\"cell\": \"Me\", \"bbox\": [78, 38, 90, 48]}, {\"cell\": \"Me\", \"bbox\": [130, 38, 143, 48]}, {\"cell\": \"5.2\", \"bbox\": [196, 38, 208, 48]}, {\"cell\": \"19.7\", \"bbox\": [237, 38, 252, 48]}, {\"cell\": \"17.8\", \"bbox\": [282, 38, 297, 48]}, {\"cell\": \"33.6\", \"bbox\": [328, 38, 343, 48]}, {\"cell\": \"6.9\", \"bbox\": [377, 38, 388, 48]}, {\"cell\": \"11.8\", \"bbox\": [418, 38, 433, 48]}, {\"cell\": \"4.5\", \"bbox\": [467, 38, 478, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 50, 16, 60]}, {\"cell\": \"Me\", \"bbox\": [78, 50, 90, 60]}, {\"cell\": \"Et\", \"bbox\": [130, 50, 139, 60]}, {\"cell\": \"12.9\", \"bbox\": [192, 50, 208, 60]}, {\"cell\": \"30.7\", \"bbox\": [237, 50, 252, 60]}, {\"cell\": \"14.4\", \"bbox\": [282, 50, 297, 60]}, {\"cell\": \"40.1\", \"bbox\": [328, 50, 343, 60]}, {\"cell\": \"5.7\", \"bbox\": [377, 50, 388, 60]}, {\"cell\": \"15.8\", \"bbox\": [418, 50, 433, 60]}, {\"cell\": \"31.7\", \"bbox\": [463, 50, 478, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 62, 15, 72]}, {\"cell\": \"Me\", \"bbox\": [78, 62, 90, 72]}, {\"cell\": \"i-Pr\", \"bbox\": [130, 62, 143, 72]}, {\"cell\": \"12.1\", \"bbox\": [192, 62, 208, 72]}, {\"cell\": \"40.6\", \"bbox\": [237, 62, 252, 72]}, {\"cell\": \"53.0\", \"bbox\": [282, 62, 297, 72]}, {\"cell\": \"72.8\", \"bbox\": [328, 62, 343, 72]}, {\"cell\": \"20.8\", \"bbox\": [373, 62, 388, 72]}, {\"cell\": \"17.0\", \"bbox\": [418, 62, 433, 72]}, {\"cell\": \"8.9\", \"bbox\": [467, 62, 478, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 74, 16, 84]}, {\"cell\": \"Me\", \"bbox\": [78, 75, 90, 84]}, {\"cell\": \"Ph\", \"bbox\": [130, 75, 141, 84]}, {\"cell\": \"35.1\", \"bbox\": [192, 75, 208, 84]}, {\"cell\": \"62.2\", \"bbox\": [237, 75, 252, 84]}, {\"cell\": \"91.9\", \"bbox\": [282, 75, 297, 84]}, {\"cell\": \"92.6\", \"bbox\": [328, 75, 343, 84]}, {\"cell\": \"74.1\", \"bbox\": [373, 75, 388, 84]}, {\"cell\": \"49.7\", \"bbox\": [418, 75, 433, 84]}, {\"cell\": \"100\", \"bbox\": [463, 75, 477, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 87, 16, 96]}, {\"cell\": \"Me\", \"bbox\": [78, 87, 90, 96]}, {\"cell\": \"4-OMePh\", \"bbox\": [131, 87, 163, 96]}, {\"cell\": \"25.4\", \"bbox\": [192, 87, 208, 96]}, {\"cell\": \"63.4\", \"bbox\": [237, 87, 253, 96]}, {\"cell\": \"91.5\", \"bbox\": [282, 87, 297, 96]}, {\"cell\": \"84.8\", \"bbox\": [328, 87, 343, 96]}, {\"cell\": \"61.8\", \"bbox\": [373, 87, 388, 96]}, {\"cell\": \"48.5\", \"bbox\": [418, 87, 433, 96]}, {\"cell\": \"100\", \"bbox\": [463, 87, 477, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 99, 14, 108]}, {\"cell\": \"Me\", \"bbox\": [78, 99, 90, 108]}, {\"cell\": \"4-ClPh\", \"bbox\": [131, 99, 153, 108]}, {\"cell\": \"15.3\", \"bbox\": [193, 99, 208, 108]}, {\"cell\": \"54.7\", \"bbox\": [237, 99, 253, 108]}, {\"cell\": \"57.6\", \"bbox\": [282, 99, 297, 108]}, {\"cell\": \"85.3\", \"bbox\": [328, 99, 343, 108]}, {\"cell\": \"52.3\", \"bbox\": [373, 99, 388, 108]}, {\"cell\": \"27.4\", \"bbox\": [418, 99, 433, 108]}, {\"cell\": \"35.7\", \"bbox\": [463, 99, 478, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 111, 16, 120]}, {\"cell\": \"Ph\", \"bbox\": [78, 111, 88, 120]}, {\"cell\": \"Me\", \"bbox\": [131, 111, 143, 120]}, {\"cell\": \"30.6\", \"bbox\": [193, 111, 208, 120]}, {\"cell\": \"26.8\", \"bbox\": [237, 111, 253, 120]}, {\"cell\": \"23.3\", \"bbox\": [282, 111, 297, 120]}, {\"cell\": \"48.4\", \"bbox\": [328, 111, 343, 120]}, {\"cell\": \"28.8\", \"bbox\": [373, 111, 388, 120]}, {\"cell\": \"22.6\", \"bbox\": [418, 111, 433, 120]}, {\"cell\": \"79.0\", \"bbox\": [463, 111, 478, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 123, 16, 132]}, {\"cell\": \"Ph\", \"bbox\": [78, 123, 88, 132]}, {\"cell\": \"Et\", \"bbox\": [131, 123, 139, 132]}, {\"cell\": \"40.3\", \"bbox\": [193, 123, 208, 132]}, {\"cell\": \"39.4\", \"bbox\": [237, 123, 253, 132]}, {\"cell\": \"65.7\", \"bbox\": [282, 123, 297, 132]}, {\"cell\": \"84.3\", \"bbox\": [328, 123, 343, 132]}, {\"cell\": \"66.2\", \"bbox\": [373, 123, 388, 132]}, {\"cell\": \"48.5\", \"bbox\": [418, 123, 433, 132]}, {\"cell\": \"99.1\", \"bbox\": [463, 123, 478, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 135, 14, 144]}, {\"cell\": \"Ph\", \"bbox\": [78, 135, 88, 144]}, {\"cell\": \"n-Pr\", \"bbox\": [131, 135, 145, 144]}, {\"cell\": \"53.6\", \"bbox\": [193, 135, 208, 144]}, {\"cell\": \"61.0\", \"bbox\": [237, 135, 253, 144]}, {\"cell\": \"86.4\", \"bbox\": [282, 135, 297, 144]}, {\"cell\": \"97.2\", \"bbox\": [328, 135, 343, 144]}, {\"cell\": \"78.9\", \"bbox\": [373, 135, 388, 144]}, {\"cell\": \"54.5\", \"bbox\": [418, 135, 433, 144]}, {\"cell\": \"96.1\", \"bbox\": [463, 135, 478, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 147, 14, 156]}, {\"cell\": \"Ph\", \"bbox\": [78, 147, 88, 157]}, {\"cell\": \"i-Pr\", \"bbox\": [131, 147, 143, 157]}, {\"cell\": \"50.4\", \"bbox\": [193, 147, 208, 157]}, {\"cell\": \"56.7\", \"bbox\": [237, 147, 253, 157]}, {\"cell\": \"86.0\", \"bbox\": [282, 147, 298, 157]}, {\"cell\": \"88.0\", \"bbox\": [328, 147, 343, 157]}, {\"cell\": \"79.3\", \"bbox\": [373, 147, 388, 157]}, {\"cell\": \"50.9\", \"bbox\": [418, 147, 433, 157]}, {\"cell\": \"90.1\", \"bbox\": [463, 147, 478, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 159, 16, 169]}, {\"cell\": \"Ph\", \"bbox\": [78, 159, 88, 169]}, {\"cell\": \"Ph\", \"bbox\": [131, 159, 141, 169]}, {\"cell\": \"12.1\", \"bbox\": [193, 159, 208, 169]}, {\"cell\": \"33.5\", \"bbox\": [238, 159, 253, 169]}, {\"cell\": \"47.5\", \"bbox\": [282, 159, 298, 169]}, {\"cell\": \"72.8\", \"bbox\": [328, 159, 343, 169]}, {\"cell\": \"37.1\", \"bbox\": [373, 159, 388, 169]}, {\"cell\": \"36.2\", \"bbox\": [418, 159, 433, 169]}, {\"cell\": \"87.1\", \"bbox\": [463, 159, 478, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 171, 14, 181]}, {\"cell\": \"2-ClPh\", \"bbox\": [78, 171, 101, 181]}, {\"cell\": \"Me\", \"bbox\": [131, 171, 143, 181]}, {\"cell\": \"20.2\", \"bbox\": [193, 171, 208, 181]}, {\"cell\": \"19.7\", \"bbox\": [238, 171, 253, 181]}, {\"cell\": \"49.6\", \"bbox\": [282, 171, 298, 181]}, {\"cell\": \"88.5\", \"bbox\": [328, 171, 343, 181]}, {\"cell\": \"35.1\", \"bbox\": [373, 171, 388, 181]}, {\"cell\": \"21.0\", \"bbox\": [418, 171, 433, 181]}, {\"cell\": \"78.6\", \"bbox\": [463, 171, 478, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 183, 18, 193]}, {\"cell\": \"2-ClPh\", \"bbox\": [78, 183, 101, 193]}, {\"cell\": \"4-ClPh\", \"bbox\": [131, 183, 154, 193]}, {\"cell\": \"4.8\", \"bbox\": [197, 183, 208, 193]}, {\"cell\": \"22.4\", \"bbox\": [238, 183, 253, 193]}, {\"cell\": \"36.9\", \"bbox\": [282, 183, 298, 193]}, {\"cell\": \"47.9\", \"bbox\": [328, 183, 343, 193]}, {\"cell\": \"36.7\", \"bbox\": [373, 183, 388, 193]}, {\"cell\": \"17.8\", \"bbox\": [418, 183, 433, 193]}, {\"cell\": \"76.4\", \"bbox\": [463, 183, 478, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 195, 16, 205]}, {\"cell\": \"t-Bu\", \"bbox\": [78, 196, 93, 205]}, {\"cell\": \"Me\", \"bbox\": [131, 196, 143, 205]}, {\"cell\": \"17.7\", \"bbox\": [193, 196, 208, 205]}, {\"cell\": \"24.8\", \"bbox\": [238, 196, 253, 205]}, {\"cell\": \"24.6\", \"bbox\": [282, 196, 298, 205]}, {\"cell\": \"32.7\", \"bbox\": [328, 196, 343, 205]}, {\"cell\": \"24.0\", \"bbox\": [373, 196, 388, 205]}, {\"cell\": \"17.0\", \"bbox\": [418, 196, 433, 205]}, {\"cell\": \"26.3\", \"bbox\": [463, 196, 478, 205]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 208, 16, 217]}, {\"cell\": \"3-ClPy\", \"bbox\": [78, 208, 100, 217]}, {\"cell\": \"Cl\", \"bbox\": [131, 208, 139, 217]}, {\"cell\": \"24.2\", \"bbox\": [193, 208, 208, 217]}, {\"cell\": \"26.8\", \"bbox\": [238, 208, 253, 217]}, {\"cell\": \"39.8\", \"bbox\": [282, 208, 298, 217]}, {\"cell\": \"45.6\", \"bbox\": [328, 208, 343, 217]}, {\"cell\": \"47.9\", \"bbox\": [373, 208, 388, 217]}, {\"cell\": \"27.0\", \"bbox\": [418, 208, 433, 217]}, {\"cell\": \"65.7\", \"bbox\": [463, 208, 478, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 220, 16, 229]}, {\"cell\": \"3-ClPy\", \"bbox\": [78, 220, 100, 229]}, {\"cell\": \"Br\", \"bbox\": [131, 220, 139, 229]}, {\"cell\": \"38.7\", \"bbox\": [193, 220, 208, 229]}, {\"cell\": \"39.0\", \"bbox\": [238, 220, 253, 229]}, {\"cell\": \"56.8\", \"bbox\": [282, 220, 298, 229]}, {\"cell\": \"59.9\", \"bbox\": [328, 220, 344, 229]}, {\"cell\": \"42.7\", \"bbox\": [373, 220, 388, 229]}, {\"cell\": \"28.6\", \"bbox\": [418, 220, 433, 229]}, {\"cell\": \"72.6\", \"bbox\": [463, 220, 478, 229]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 232, 48, 241]}, {\"cell\": \"–\", \"bbox\": [78, 232, 84, 241]}, {\"cell\": \"–\", \"bbox\": [131, 232, 137, 241]}, {\"cell\": \"47.4\", \"bbox\": [193, 232, 208, 241]}, {\"cell\": \"100\", \"bbox\": [238, 232, 251, 241]}, {\"cell\": \"89.0\", \"bbox\": [283, 232, 298, 241]}, {\"cell\": \"100\", \"bbox\": [328, 232, 342, 241]}, {\"cell\": \"84.5\", \"bbox\": [373, 232, 388, 241]}, {\"cell\": \"78.5\", \"bbox\": [418, 232, 433, 241]}, {\"cell\": \"100\", \"bbox\": [463, 232, 477, 241]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4932680_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Computation Steps
StepStep Title Step DescriptionValues
1Compute the signal level (see the text above)[EMPTY_CELL]
2Compute the noise level(see the text above)[EMPTY_CELL]
3Compute the S/N ratio(see the text above)[EMPTY_CELL]
4Min number of frames Photon per pixel/Photon to saturate[EMPTY_CELL]
5Max exposure time per frameEclipse time/Min number of frames[EMPTY_CELL]
6Exposure time limit (tlim) to avoid saturation Compute the detector voltage corresponding to the incoming photon flux for one frame. Find the exposure time to get the higher voltage value without saturation. The star flux is spread on 10 × 10 pix.[EMPTY_CELL]
7Number of co-added frames Compute the number of co-added frames required to get a S/N of 105 (star signal of 1010).[EMPTY_CELL]
8Verify the compliance with the duty cycle time constraint. t = frames × tlim[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Computation Steps\", \"bbox\": [175, 5, 248, 14]}, {\"cell\": \"Step\", \"bbox\": [13, 19, 31, 29]}, {\"cell\": \"Step Title \", \"bbox\": [83, 19, 121, 29]}, {\"cell\": \"Step Description\", \"bbox\": [200, 19, 264, 29]}, {\"cell\": \"Values\", \"bbox\": [349, 19, 376, 29]}, {\"cell\": \"1\", \"bbox\": [19, 33, 25, 43]}, {\"cell\": \"Compute the signal level \", \"bbox\": [57, 33, 148, 43]}, {\"cell\": \"(see the text above)\", \"bbox\": [201, 33, 264, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2\", \"bbox\": [19, 47, 25, 57]}, {\"cell\": \"Compute the noise level\", \"bbox\": [58, 47, 146, 57]}, {\"cell\": \"(see the text above)\", \"bbox\": [201, 47, 264, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3\", \"bbox\": [19, 61, 25, 71]}, {\"cell\": \"Compute the S/N ratio\", \"bbox\": [60, 61, 145, 71]}, {\"cell\": \"(see the text above)\", \"bbox\": [201, 61, 264, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"4\", \"bbox\": [19, 76, 25, 86]}, {\"cell\": \"Min number of frames \", \"bbox\": [61, 76, 143, 86]}, {\"cell\": \"Photon per pixel/Photon to saturate\", \"bbox\": [167, 76, 298, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [308, 74, 418, 86]}, {\"cell\": \"5\", \"bbox\": [19, 90, 25, 100]}, {\"cell\": \"Max exposure time per frame\", \"bbox\": [49, 90, 156, 100]}, {\"cell\": \"Eclipse time/Min number of frames\", \"bbox\": [167, 90, 298, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [357, 90, 368, 100]}, {\"cell\": \"6\", \"bbox\": [19, 134, 25, 144]}, {\"cell\": \"Exposure time limit (tlim) to avoid saturation \", \"bbox\": [52, 129, 153, 149]}, {\"cell\": \"Compute the detector voltage corresponding to the incoming photon flux for one frame. Find the exposure time to get the higher voltage value without saturation. The star flux is spread on 10 × 10 pix.\", \"bbox\": [166, 104, 299, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 109, 404, 170]}, {\"cell\": \"7\", \"bbox\": [19, 202, 25, 213]}, {\"cell\": \"Number of co-added frames \", \"bbox\": [51, 202, 154, 213]}, {\"cell\": \"Compute the number of co-added frames required to get a S/N of 105 (star signal of 1010).\", \"bbox\": [169, 192, 296, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [309, 178, 416, 237]}, {\"cell\": \"8\", \"bbox\": [19, 266, 25, 276]}, {\"cell\": \"Verify the compliance with the duty cycle time constraint. \", \"bbox\": [47, 261, 157, 281]}, {\"cell\": \"t = frames × tlim\", \"bbox\": [201, 266, 264, 276]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [323, 241, 403, 301]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5375779_010_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
S. No.Retention time (min)Concentration (%)ConstituentsMass fragmentation patternMatch with library
130.500[EMPTY_CELL]caryophyllene[M+] 204, 189,175,161, 147, 133, 120, 105, 93, 79, 69, 55, 51NIST147.LIB
231.688[EMPTY_CELL]α-humulene[M+] 204, 147, 121, 107, 93, 80, 67, 53WILEY7.LIB
333.782[EMPTY_CELL](+)- aromadendrene[M+] 204, 187, 161, 147, 134, 119, 106, 96, 81, 69, 55, 51WILEY7.LIB
433.842[EMPTY_CELL]naphthalene, 1,2,3,4-tetra hydro-1,6-dimethyle-4-(1-methyl)-, (1S-cis)[M+] 202, 159, 144, 131, 105, 69WILEY7.LIB
535898[EMPTY_CELL](−)-caryophyllene oxide[M+] 173, 164, 149, 135, 123, 107, 96, 79, 69, 55, 53WILEY7.LIB
640.466[EMPTY_CELL]trans- caryophyllene[M+] 236, 203, 189, 175, 161, 147, 133, 119, 105, 91, 79, 69, 55, 51WILEY7.LIB
745.419[EMPTY_CELL]methyl hexadecanoate[M+] 270, 239, 227, 199, 185, 171, 161, 143, 129, 119, 101, 87, 74, 69, 55WILEY7.LIB
852.073[EMPTY_CELL]phenol,4-(3,7-dimethyl-3-ethenylocta-1,6-dienyl)[M+] 256, 213, 185, 173, 158, 145, 127, 121, 107, 93, 83, 69, 55, 53NIST147.LIB
\", \"cells\": [{\"cell\": \"S. No.\", \"bbox\": [1, 4, 14, 22]}, {\"cell\": \"Retention time (min)\", \"bbox\": [20, 4, 58, 22]}, {\"cell\": \"Concentration (%)\", \"bbox\": [74, 4, 125, 22]}, {\"cell\": \"Constituents\", \"bbox\": [131, 4, 177, 13]}, {\"cell\": \"Mass fragmentation pattern\", \"bbox\": [282, 4, 381, 13]}, {\"cell\": \"Match with library\", \"bbox\": [440, 4, 481, 22]}, {\"cell\": \"1\", \"bbox\": [1, 26, 6, 36]}, {\"cell\": \"30.500\", \"bbox\": [20, 26, 42, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [74, 26, 93, 36]}, {\"cell\": \"caryophyllene\", \"bbox\": [131, 26, 178, 36]}, {\"cell\": \"[M+] 204, 189,175,161, 147, 133, 120, 105, 93, 79, 69, 55, 51\", \"bbox\": [282, 26, 427, 45]}, {\"cell\": \"NIST147.LIB\", \"bbox\": [440, 26, 478, 36]}, {\"cell\": \"2\", \"bbox\": [1, 48, 6, 58]}, {\"cell\": \"31.688\", \"bbox\": [20, 48, 42, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [74, 48, 89, 58]}, {\"cell\": \"α-humulene\", \"bbox\": [131, 48, 173, 58]}, {\"cell\": \"[M+] 204, 147, 121, 107, 93, 80, 67, 53\", \"bbox\": [282, 48, 404, 58]}, {\"cell\": \"WILEY7.LIB\", \"bbox\": [440, 48, 476, 58]}, {\"cell\": \"3\", \"bbox\": [1, 61, 6, 71]}, {\"cell\": \"33.782\", \"bbox\": [20, 61, 42, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [74, 61, 89, 71]}, {\"cell\": \"(+)- aromadendrene\", \"bbox\": [131, 61, 198, 71]}, {\"cell\": \"[M+] 204, 187, 161, 147, 134, 119, 106, 96, 81, 69, 55, 51\", \"bbox\": [282, 61, 428, 80]}, {\"cell\": \"WILEY7.LIB\", \"bbox\": [440, 61, 476, 71]}, {\"cell\": \"4\", \"bbox\": [1, 84, 6, 93]}, {\"cell\": \"33.842\", \"bbox\": [20, 84, 42, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [74, 84, 89, 93]}, {\"cell\": \"naphthalene, 1,2,3,4-tetra hydro-1,6-dimethyle-4-(1-methyl)-, (1S-cis)\", \"bbox\": [131, 84, 248, 102]}, {\"cell\": \"[M+] 202, 159, 144, 131, 105, 69\", \"bbox\": [282, 84, 385, 93]}, {\"cell\": \"WILEY7.LIB\", \"bbox\": [440, 84, 476, 93]}, {\"cell\": \"5\", \"bbox\": [1, 106, 6, 115]}, {\"cell\": \"35898\", \"bbox\": [20, 106, 41, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [74, 106, 93, 115]}, {\"cell\": \"(−)-caryophyllene oxide\", \"bbox\": [131, 106, 209, 115]}, {\"cell\": \"[M+] 173, 164, 149, 135, 123, 107, 96, 79, 69, 55, 53\", \"bbox\": [282, 106, 436, 124]}, {\"cell\": \"WILEY7.LIB\", \"bbox\": [440, 106, 476, 115]}, {\"cell\": \"6\", \"bbox\": [1, 128, 6, 137]}, {\"cell\": \"40.466\", \"bbox\": [20, 128, 42, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [74, 128, 89, 137]}, {\"cell\": \"trans- caryophyllene\", \"bbox\": [131, 128, 198, 137]}, {\"cell\": \"[M+] 236, 203, 189, 175, 161, 147, 133, 119, 105, 91, 79, 69, 55, 51\", \"bbox\": [282, 128, 436, 146]}, {\"cell\": \"WILEY7.LIB\", \"bbox\": [440, 128, 476, 137]}, {\"cell\": \"7\", \"bbox\": [1, 150, 6, 159]}, {\"cell\": \"45.419\", \"bbox\": [20, 150, 42, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [74, 150, 89, 159]}, {\"cell\": \"methyl hexadecanoate\", \"bbox\": [131, 150, 206, 159]}, {\"cell\": \"[M+] 270, 239, 227, 199, 185, 171, 161, 143, 129, 119, 101, 87, 74, 69, 55\", \"bbox\": [282, 150, 436, 169]}, {\"cell\": \"WILEY7.LIB\", \"bbox\": [440, 150, 476, 159]}, {\"cell\": \"8\", \"bbox\": [1, 172, 6, 182]}, {\"cell\": \"52.073\", \"bbox\": [20, 172, 42, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [74, 172, 93, 182]}, {\"cell\": \"phenol,4-(3,7-dimethyl-3-ethenylocta-1,6-dienyl)\", \"bbox\": [131, 172, 264, 191]}, {\"cell\": \"[M+] 256, 213, 185, 173, 158, 145, 127, 121, 107, 93, 83, 69, 55, 53\", \"bbox\": [282, 172, 436, 191]}, {\"cell\": \"NIST147.LIB\", \"bbox\": [440, 172, 478, 182]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3573908_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Severity Score Risk ClassificationScoreNPredicted Mortality (%)Observed Mortality (%) (95% Confidence Interval)C-statistic
CURB-65 (N = 1011)
Low risk0 or 18481.56.4 (4.8–8.2)[EMPTY_CELL]
Intermediate risk21409.212.7 (7.8–19.6)
High risk≥32322.034.8 (15.3–54.3)
CRB-65 (N = 1332)
Low risk09051.26.5 (5.0–8.3)[EMPTY_CELL]
Intermediate risk1 or 24278.29.6 (7.0–12.8)
High risk3 or 4031.00
CTA (N = 1011)
Stage 1−8152.36.9 (5.2–8.8)[EMPTY_CELL]
Stage 2−1145.87.0 (3.1–13.4)
Stage 3−2512.936.0 (18.0–57.5)
Stage 4−5222.07.7 (2.1–18.5)
Stage 5−540.560.0 (14.7–94.7)
CURB-45 (N = 1011)
Low risk0 or 1751−4.9 (3.5–6.7)[EMPTY_CELL]
Intermediate risk2204−12.8 (8.5–18.1)
High risk≥356−21.3 (18.8–44.1)
\", \"cells\": [{\"cell\": \"Severity Score Risk Classification\", \"bbox\": [1, 4, 104, 13]}, {\"cell\": \"Score\", \"bbox\": [120, 4, 140, 13]}, {\"cell\": \"N\", \"bbox\": [157, 4, 164, 13]}, {\"cell\": \"Predicted Mortality (%)\", \"bbox\": [186, 4, 261, 13]}, {\"cell\": \"Observed Mortality (%) (95% Confidence Interval)\", \"bbox\": [277, 4, 436, 13]}, {\"cell\": \"C-statistic\", \"bbox\": [452, 4, 484, 13]}, {\"cell\": \"CURB-65 (N = 1011)\", \"bbox\": [1, 17, 65, 27]}, {\"cell\": \" Low risk\", \"bbox\": [9, 31, 37, 41]}, {\"cell\": \"0 or 1\", \"bbox\": [120, 31, 141, 41]}, {\"cell\": \"848\", \"bbox\": [157, 31, 170, 41]}, {\"cell\": \"1.5\", \"bbox\": [186, 31, 197, 41]}, {\"cell\": \"6.4 (4.8–8.2)\", \"bbox\": [277, 31, 316, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [452, 31, 471, 41]}, {\"cell\": \" Intermediate risk\", \"bbox\": [9, 45, 64, 55]}, {\"cell\": \"2\", \"bbox\": [120, 45, 126, 55]}, {\"cell\": \"140\", \"bbox\": [157, 45, 170, 55]}, {\"cell\": \"9.2\", \"bbox\": [186, 45, 197, 55]}, {\"cell\": \"12.7 (7.8–19.6)\", \"bbox\": [277, 45, 324, 55]}, {\"cell\": \" High risk\", \"bbox\": [9, 59, 38, 69]}, {\"cell\": \"≥3\", \"bbox\": [120, 59, 131, 69]}, {\"cell\": \"23\", \"bbox\": [157, 59, 167, 69]}, {\"cell\": \"22.0\", \"bbox\": [186, 59, 201, 69]}, {\"cell\": \"34.8 (15.3–54.3)\", \"bbox\": [277, 59, 328, 69]}, {\"cell\": \"CRB-65 (N = 1332)\", \"bbox\": [1, 73, 60, 83]}, {\"cell\": \" Low risk\", \"bbox\": [9, 87, 37, 97]}, {\"cell\": \"0\", \"bbox\": [120, 87, 126, 97]}, {\"cell\": \"905\", \"bbox\": [157, 87, 170, 97]}, {\"cell\": \"1.2\", \"bbox\": [186, 87, 197, 97]}, {\"cell\": \"6.5 (5.0–8.3)\", \"bbox\": [277, 87, 316, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [452, 87, 471, 97]}, {\"cell\": \" Intermediate risk\", \"bbox\": [9, 101, 64, 111]}, {\"cell\": \"1 or 2\", \"bbox\": [120, 101, 141, 111]}, {\"cell\": \"427\", \"bbox\": [157, 101, 170, 111]}, {\"cell\": \"8.2\", \"bbox\": [186, 101, 197, 111]}, {\"cell\": \"9.6 (7.0–12.8)\", \"bbox\": [277, 101, 320, 111]}, {\"cell\": \" High risk\", \"bbox\": [9, 115, 38, 125]}, {\"cell\": \"3 or 4\", \"bbox\": [120, 115, 141, 125]}, {\"cell\": \"0\", \"bbox\": [157, 115, 163, 125]}, {\"cell\": \"31.0\", \"bbox\": [186, 115, 201, 125]}, {\"cell\": \"0\", \"bbox\": [277, 115, 283, 125]}, {\"cell\": \"CTA (N = 1011)\", \"bbox\": [1, 129, 50, 139]}, {\"cell\": \" Stage 1\", \"bbox\": [9, 143, 35, 153]}, {\"cell\": \"−\", \"bbox\": [120, 143, 127, 151]}, {\"cell\": \"815\", \"bbox\": [157, 143, 170, 153]}, {\"cell\": \"2.3\", \"bbox\": [186, 143, 197, 153]}, {\"cell\": \"6.9 (5.2–8.8)\", \"bbox\": [277, 143, 316, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [452, 143, 471, 153]}, {\"cell\": \" Stage 2\", \"bbox\": [9, 157, 35, 167]}, {\"cell\": \"−\", \"bbox\": [120, 157, 127, 165]}, {\"cell\": \"114\", \"bbox\": [157, 157, 170, 167]}, {\"cell\": \"5.8\", \"bbox\": [186, 157, 197, 167]}, {\"cell\": \"7.0 (3.1–13.4)\", \"bbox\": [277, 157, 320, 167]}, {\"cell\": \" Stage 3\", \"bbox\": [9, 171, 35, 180]}, {\"cell\": \"−\", \"bbox\": [120, 171, 127, 179]}, {\"cell\": \"25\", \"bbox\": [157, 171, 167, 180]}, {\"cell\": \"12.9\", \"bbox\": [186, 171, 201, 180]}, {\"cell\": \"36.0 (18.0–57.5)\", \"bbox\": [277, 171, 328, 180]}, {\"cell\": \" Stage 4\", \"bbox\": [9, 185, 35, 194]}, {\"cell\": \"−\", \"bbox\": [120, 185, 127, 193]}, {\"cell\": \"52\", \"bbox\": [157, 185, 167, 194]}, {\"cell\": \"22.0\", \"bbox\": [186, 185, 201, 194]}, {\"cell\": \"7.7 (2.1–18.5)\", \"bbox\": [277, 185, 320, 194]}, {\"cell\": \" Stage 5\", \"bbox\": [9, 199, 35, 208]}, {\"cell\": \"−\", \"bbox\": [120, 199, 127, 207]}, {\"cell\": \"5\", \"bbox\": [157, 199, 163, 208]}, {\"cell\": \"40.5\", \"bbox\": [186, 199, 201, 208]}, {\"cell\": \"60.0 (14.7–94.7)\", \"bbox\": [277, 199, 328, 208]}, {\"cell\": \"CURB-45 (N = 1011)\", \"bbox\": [1, 213, 65, 222]}, {\"cell\": \" Low risk\", \"bbox\": [9, 227, 37, 236]}, {\"cell\": \"0 or 1\", \"bbox\": [120, 227, 141, 236]}, {\"cell\": \"751\", \"bbox\": [157, 227, 170, 236]}, {\"cell\": \"−\", \"bbox\": [186, 227, 193, 235]}, {\"cell\": \"4.9 (3.5–6.7)\", \"bbox\": [277, 227, 316, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [452, 227, 471, 236]}, {\"cell\": \" Intermediate risk\", \"bbox\": [9, 241, 64, 250]}, {\"cell\": \"2\", \"bbox\": [120, 241, 126, 250]}, {\"cell\": \"204\", \"bbox\": [157, 241, 170, 250]}, {\"cell\": \"−\", \"bbox\": [186, 241, 193, 249]}, {\"cell\": \"12.8 (8.5–18.1)\", \"bbox\": [277, 241, 324, 250]}, {\"cell\": \" High risk\", \"bbox\": [9, 255, 38, 264]}, {\"cell\": \"≥3\", \"bbox\": [120, 255, 131, 264]}, {\"cell\": \"56\", \"bbox\": [157, 255, 167, 264]}, {\"cell\": \"−\", \"bbox\": [186, 255, 193, 263]}, {\"cell\": \"21.3 (18.8–44.1)\", \"bbox\": [277, 255, 328, 264]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5288997_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Cell typepO2modulationCell differentiation/ mechanismRef.
BM-MSCs[EMPTY_CELL]Dopaminergic neuron-like cells/HIF-1α dependent activation of EPO, VEGF, p21[115]
Rat MSCs[EMPTY_CELL]Increased chondrogenesis/activation of HIF-1α, Akt, p38 MAPK, SOX-9[119]
Human MSCs[EMPTY_CELL]Inhibited osteogenesis/ HIF-1α dependent inhibition of RUNX2[121]
MSCs[EMPTY_CELL]Inhibited hypertrophic chondrogenesis[122]
BM-MSCs[EMPTY_CELL]Increased chondrogenesis/ HIF-1α dependent stimulation of SOX-9[123]
Human BM-MSCs[EMPTY_CELL]Increased chondrogenesis[124]
Human ADSCc[EMPTY_CELL]Increased chondrogenesis[126]
ADSCc[EMPTY_CELL]Decreased chondrogenesis and osteogenesis[127]
\", \"cells\": [{\"cell\": \"Cell type\", \"bbox\": [1, 4, 33, 13]}, {\"cell\": \"pO2modulation\", \"bbox\": [91, 4, 149, 14]}, {\"cell\": \"Cell differentiation/ mechanism\", \"bbox\": [281, 4, 393, 13]}, {\"cell\": \"Ref.\", \"bbox\": [467, 4, 482, 13]}, {\"cell\": \"BM-MSCs\", \"bbox\": [1, 17, 32, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 17, 111, 27]}, {\"cell\": \"Dopaminergic neuron-like cells/HIF-1α dependent activation of EPO, VEGF, p21\", \"bbox\": [281, 17, 412, 36]}, {\"cell\": \"[115]\", \"bbox\": [467, 17, 484, 27]}, {\"cell\": \"Rat MSCs\", \"bbox\": [1, 40, 32, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 40, 157, 50]}, {\"cell\": \"Increased chondrogenesis/activation of HIF-1α, Akt, p38 MAPK, SOX-9\", \"bbox\": [281, 40, 433, 59]}, {\"cell\": \"[119]\", \"bbox\": [467, 40, 484, 50]}, {\"cell\": \"Human MSCs\", \"bbox\": [1, 63, 46, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 63, 157, 73]}, {\"cell\": \"Inhibited osteogenesis/ HIF-1α dependent inhibition of RUNX2\", \"bbox\": [281, 63, 419, 82]}, {\"cell\": \"[121]\", \"bbox\": [467, 63, 484, 73]}, {\"cell\": \"MSCs\", \"bbox\": [1, 86, 20, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 86, 157, 96]}, {\"cell\": \"Inhibited hypertrophic chondrogenesis\", \"bbox\": [281, 86, 408, 96]}, {\"cell\": \"[122]\", \"bbox\": [467, 86, 484, 96]}, {\"cell\": \"BM-MSCs\", \"bbox\": [1, 100, 32, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 100, 215, 110]}, {\"cell\": \"Increased chondrogenesis/ HIF-1α dependent stimulation of SOX-9\", \"bbox\": [281, 100, 393, 119]}, {\"cell\": \"[123]\", \"bbox\": [467, 100, 484, 110]}, {\"cell\": \"Human BM-MSCs\", \"bbox\": [1, 123, 58, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 123, 224, 133]}, {\"cell\": \"Increased chondrogenesis\", \"bbox\": [281, 123, 367, 133]}, {\"cell\": \"[124]\", \"bbox\": [467, 123, 484, 133]}, {\"cell\": \"Human ADSCc\", \"bbox\": [1, 137, 50, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 137, 248, 147]}, {\"cell\": \"Increased chondrogenesis\", \"bbox\": [281, 137, 367, 147]}, {\"cell\": \"[126]\", \"bbox\": [467, 137, 484, 147]}, {\"cell\": \"ADSCc\", \"bbox\": [1, 151, 24, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 151, 194, 161]}, {\"cell\": \"Decreased chondrogenesis and osteogenesis\", \"bbox\": [281, 151, 428, 161]}, {\"cell\": \"[127]\", \"bbox\": [467, 151, 484, 161]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3765890_007_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]All (n = 649)Men (n = 230)Women (n = 419)PaCEb (n = 168)[EMPTY_CELL]MDc (n = 201)[EMPTY_CELL]DCd (n = 144)[EMPTY_CELL]GHe (n = 136)[EMPTY_CELL]Pf
Mean (SD)Mean (SD)Mean (SD)Mean (SD)Mean (SD)Mean (SD)Mean (SD)
Age (yrs)80.4 (8.4)77.2 (8.4)82.3 (7.7)<0.00173.5 (5.9)u,v,wg81.2 (8.1)[EMPTY_CELL]83.6 (7.5)v,y84.4 (7.1)w,z<0.001
Height (cm)152.6 (9.9)162.3 (6.7)147.3 (6.9)<0.001156.7 (9.3)u,v,w153.9 (9.4)[EMPTY_CELL]150.5 (10.2)v,y147.6 (8.6)w,z<0.001
Weight (kg)51.5 (10.8)59.1 (9.4)47.2 (9.1)<0.00156.9 (10.5)u,v,w50.4 (10.4)[EMPTY_CELL]50.7 (10.7)v,y47.2 (9.3)w,x,y<0.001
BMI (kg/m2)22.0 (3.7)22.4 (3.1)21.8 (3.9)<0.00123.1 (3.4)u,v21.2 (3.3)[EMPTY_CELL]22.3 (4.0)w21.7 (3.8)v<0.001
CDR scoreMD + DC + GH groups[EMPTY_CELL]CE (n = 168)[EMPTY_CELL]MD (n = 201)[EMPTY_CELL]DC (n = 144)[EMPTY_CELL]GH (n = 136)[EMPTY_CELL][EMPTY_CELL]
All (n = 481)Men (n = 145)Women (n = 336)
022.7 (%)27.820.50.087hNA[EMPTY_CELL]0.3[EMPTY_CELL]34.1[EMPTY_CELL]0.0[EMPTY_CELL]<0.001h
0.519.621.618.8[EMPTY_CELL]NA[EMPTY_CELL]32.0[EMPTY_CELL]0.0[EMPTY_CELL]11.3[EMPTY_CELL][EMPTY_CELL]
134.427.837.3[EMPTY_CELL]NA[EMPTY_CELL]20.7[EMPTY_CELL]57.1[EMPTY_CELL]42.7[EMPTY_CELL][EMPTY_CELL]
215.313.616.0[EMPTY_CELL]NA[EMPTY_CELL]9.3[EMPTY_CELL]6.3[EMPTY_CELL]34.7[EMPTY_CELL][EMPTY_CELL]
38.09.17.5[EMPTY_CELL]NA[EMPTY_CELL]8.7[EMPTY_CELL]2.4[EMPTY_CELL]11.3[EMPTY_CELL][EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"All (n = 649)\", \"bbox\": [48, 6, 90, 15]}, {\"cell\": \"Men (n = 230)\", \"bbox\": [92, 6, 139, 15]}, {\"cell\": \"Women (n = 419)\", \"bbox\": [141, 6, 199, 15]}, {\"cell\": \"Pa\", \"bbox\": [201, 5, 209, 15]}, {\"cell\": \"CEb (n = 168)\", \"bbox\": [226, 5, 270, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"MDc (n = 201)\", \"bbox\": [296, 5, 342, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"DCd (n = 144)\", \"bbox\": [362, 5, 407, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"GHe (n = 136)\", \"bbox\": [422, 5, 468, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Pf\", \"bbox\": [490, 5, 498, 15]}, {\"cell\": \"Mean (SD)\", \"bbox\": [48, 20, 82, 28]}, {\"cell\": \"Mean (SD)\", \"bbox\": [92, 20, 126, 28]}, {\"cell\": \"Mean (SD)\", \"bbox\": [141, 20, 175, 28]}, {\"cell\": \"Mean (SD)\", \"bbox\": [226, 20, 260, 28]}, {\"cell\": \"Mean (SD)\", \"bbox\": [296, 20, 329, 28]}, {\"cell\": \"Mean (SD)\", \"bbox\": [362, 20, 396, 28]}, {\"cell\": \"Mean (SD)\", \"bbox\": [422, 20, 456, 28]}, {\"cell\": \"Age (yrs)\", \"bbox\": [6, 33, 36, 41]}, {\"cell\": \"80.4 (8.4)\", \"bbox\": [48, 33, 79, 41]}, {\"cell\": \"77.2 (8.4)\", \"bbox\": [92, 33, 123, 41]}, {\"cell\": \"82.3 (7.7)\", \"bbox\": [141, 33, 172, 41]}, {\"cell\": \"<0.001\", \"bbox\": [201, 33, 224, 41]}, {\"cell\": \"73.5 (5.9)\", \"bbox\": [226, 33, 257, 41]}, {\"cell\": \"u,v,wg\", \"bbox\": [272, 31, 293, 41]}, {\"cell\": \"81.2 (8.1)\", \"bbox\": [296, 33, 326, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 33, 360, 41]}, {\"cell\": \"83.6 (7.5)\", \"bbox\": [362, 33, 393, 41]}, {\"cell\": \"v,y\", \"bbox\": [409, 33, 420, 41]}, {\"cell\": \"84.4 (7.1)\", \"bbox\": [422, 33, 453, 41]}, {\"cell\": \"w,z\", \"bbox\": [470, 33, 483, 41]}, {\"cell\": \"<0.001\", \"bbox\": [490, 33, 514, 41]}, {\"cell\": \"Height (cm)\", \"bbox\": [6, 41, 45, 50]}, {\"cell\": \"152.6 (9.9)\", \"bbox\": [48, 41, 83, 50]}, {\"cell\": \"162.3 (6.7)\", \"bbox\": [92, 41, 127, 50]}, {\"cell\": \"147.3 (6.9)\", \"bbox\": [141, 41, 176, 50]}, {\"cell\": \"<0.001\", \"bbox\": [201, 41, 224, 50]}, {\"cell\": \"156.7 (9.3)\", \"bbox\": [226, 41, 261, 50]}, {\"cell\": \"u,v,w\", \"bbox\": [272, 41, 291, 50]}, {\"cell\": \"153.9 (9.4)\", \"bbox\": [296, 41, 330, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 41, 360, 50]}, {\"cell\": \"150.5 (10.2)\", \"bbox\": [362, 41, 401, 50]}, {\"cell\": \"v,y\", \"bbox\": [409, 41, 420, 50]}, {\"cell\": \"147.6 (8.6)\", \"bbox\": [422, 41, 457, 50]}, {\"cell\": \"w,z\", \"bbox\": [470, 41, 483, 50]}, {\"cell\": \"<0.001\", \"bbox\": [490, 41, 514, 50]}, {\"cell\": \"Weight (kg)\", \"bbox\": [6, 50, 45, 58]}, {\"cell\": \"51.5 (10.8)\", \"bbox\": [48, 50, 83, 58]}, {\"cell\": \"59.1 (9.4)\", \"bbox\": [92, 50, 123, 58]}, {\"cell\": \"47.2 (9.1)\", \"bbox\": [141, 50, 172, 58]}, {\"cell\": \"<0.001\", \"bbox\": [201, 50, 224, 58]}, {\"cell\": \"56.9 (10.5)\", \"bbox\": [226, 50, 261, 58]}, {\"cell\": \"u,v,w\", \"bbox\": [272, 50, 291, 58]}, {\"cell\": \"50.4 (10.4)\", \"bbox\": [296, 50, 330, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 50, 355, 58]}, {\"cell\": \"50.7 (10.7)\", \"bbox\": [362, 50, 397, 58]}, {\"cell\": \"v,y\", \"bbox\": [409, 50, 420, 58]}, {\"cell\": \"47.2 (9.3)\", \"bbox\": [422, 50, 453, 58]}, {\"cell\": \"w,x,y\", \"bbox\": [470, 50, 488, 58]}, {\"cell\": \"<0.001\", \"bbox\": [490, 50, 514, 58]}, {\"cell\": \"BMI (kg/m2)\", \"bbox\": [6, 57, 46, 67]}, {\"cell\": \"22.0 (3.7)\", \"bbox\": [48, 58, 79, 67]}, {\"cell\": \"22.4 (3.1)\", \"bbox\": [92, 58, 123, 67]}, {\"cell\": \"21.8 (3.9)\", \"bbox\": [141, 58, 172, 67]}, {\"cell\": \"<0.001\", \"bbox\": [201, 58, 224, 67]}, {\"cell\": \"23.1 (3.4)\", \"bbox\": [226, 58, 257, 67]}, {\"cell\": \"u,v\", \"bbox\": [272, 58, 283, 67]}, {\"cell\": \"21.2 (3.3)\", \"bbox\": [296, 58, 326, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 58, 357, 67]}, {\"cell\": \"22.3 (4.0)\", \"bbox\": [362, 58, 393, 67]}, {\"cell\": \"w\", \"bbox\": [409, 58, 417, 67]}, {\"cell\": \"21.7 (3.8)\", \"bbox\": [422, 58, 453, 67]}, {\"cell\": \"v\", \"bbox\": [470, 58, 476, 67]}, {\"cell\": \"<0.001\", \"bbox\": [490, 58, 514, 67]}, {\"cell\": \"CDR score\", \"bbox\": [6, 72, 39, 80]}, {\"cell\": \"MD + DC + GH groups\", \"bbox\": [48, 72, 120, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CE (n = 168)\", \"bbox\": [226, 72, 267, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"MD (n = 201)\", \"bbox\": [296, 72, 340, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"DC (n = 144)\", \"bbox\": [362, 72, 404, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"GH (n = 136)\", \"bbox\": [422, 72, 465, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"All (n = 481)\", \"bbox\": [48, 85, 90, 93]}, {\"cell\": \"Men (n = 145)\", \"bbox\": [92, 85, 123, 102]}, {\"cell\": \"Women (n = 336)\", \"bbox\": [141, 85, 172, 102]}, {\"cell\": \"0\", \"bbox\": [6, 106, 12, 115]}, {\"cell\": \"22.7 (%)\", \"bbox\": [48, 106, 74, 115]}, {\"cell\": \"27.8\", \"bbox\": [92, 106, 107, 115]}, {\"cell\": \"20.5\", \"bbox\": [141, 106, 156, 115]}, {\"cell\": \"0.087h\", \"bbox\": [201, 105, 222, 115]}, {\"cell\": \"NA\", \"bbox\": [226, 106, 237, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.3\", \"bbox\": [296, 106, 307, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"34.1\", \"bbox\": [362, 106, 377, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.0\", \"bbox\": [422, 106, 434, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.001h\", \"bbox\": [490, 105, 517, 115]}, {\"cell\": \"0.5\", \"bbox\": [6, 115, 18, 123]}, {\"cell\": \"19.6\", \"bbox\": [48, 115, 63, 123]}, {\"cell\": \"21.6\", \"bbox\": [92, 115, 107, 123]}, {\"cell\": \"18.8\", \"bbox\": [141, 115, 156, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"NA\", \"bbox\": [226, 115, 237, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"32.0\", \"bbox\": [296, 115, 310, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.0\", \"bbox\": [362, 115, 373, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"11.3\", \"bbox\": [422, 115, 437, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [6, 124, 12, 132]}, {\"cell\": \"34.4\", \"bbox\": [48, 124, 63, 132]}, {\"cell\": \"27.8\", \"bbox\": [92, 124, 107, 132]}, {\"cell\": \"37.3\", \"bbox\": [141, 124, 156, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"NA\", \"bbox\": [226, 124, 237, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"20.7\", \"bbox\": [296, 124, 310, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"57.1\", \"bbox\": [362, 124, 377, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"42.7\", \"bbox\": [422, 124, 437, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2\", \"bbox\": [6, 132, 12, 141]}, {\"cell\": \"15.3\", \"bbox\": [48, 132, 63, 141]}, {\"cell\": \"13.6\", \"bbox\": [92, 132, 107, 141]}, {\"cell\": \"16.0\", \"bbox\": [141, 132, 156, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"NA\", \"bbox\": [226, 132, 237, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"9.3\", \"bbox\": [296, 132, 307, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"6.3\", \"bbox\": [362, 132, 373, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"34.7\", \"bbox\": [422, 132, 437, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3\", \"bbox\": [6, 141, 12, 149]}, {\"cell\": \"8.0\", \"bbox\": [48, 141, 59, 149]}, {\"cell\": \"9.1\", \"bbox\": [92, 141, 103, 149]}, {\"cell\": \"7.5\", \"bbox\": [141, 141, 152, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"NA\", \"bbox\": [226, 141, 237, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"8.7\", \"bbox\": [296, 141, 307, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2.4\", \"bbox\": [362, 141, 373, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"11.3\", \"bbox\": [422, 141, 437, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5608592_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]All notified TB casesConfirmed TB cases
[EMPTY_CELL]Person yearsCasesIRR (95% CI)Person yearsCasesIRR (95% CI)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]1,032461 (ref)1,086271 (ref)
[EMPTY_CELL]3.61625 (11–60)4.9913 (4.4–37)
[EMPTY_CELL]3940.8 (0.3–2.5)5530.7 (0.2–2.4)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]498191 (ref)516131 (ref)
[EMPTY_CELL]2.2944 (13–153)3.1513 (2.9–60)
[EMPTY_CELL]2331.2 (0.3–4.1)3231.3 (0.3–5.0)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]534271 (ref)571141 (ref)
[EMPTY_CELL]1.4715 (4.3–49)1.7413 (2.7–59)
[EMPTY_CELL]1610.4 (0.1–3.6)230NA
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]743271 (ref)779161 (ref)
[EMPTY_CELL]0.717.7 (0.6–96)1,00NA
[EMPTY_CELL]7.712.6 (0.3–22)1213,0 (0.3–26)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]113191 (ref)128111 (ref)
[EMPTY_CELL]2.31537 (15–90)3.2940 (12–135)
[EMPTY_CELL]2220.5 (0.1–2.2)3410.3 (0.04–2.4)
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL]17601 (ref)17901 (ref)
[EMPTY_CELL]0.60NA0.60NA
[EMPTY_CELL]9.91NA9.91NA
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"All notified TB cases\", \"bbox\": [185, 8, 261, 18]}, {\"cell\": \"Confirmed TB cases\", \"bbox\": [362, 8, 438, 18]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Person years\", \"bbox\": [139, 30, 188, 40]}, {\"cell\": \"Cases\", \"bbox\": [210, 30, 235, 40]}, {\"cell\": \"IRR (95% CI)\", \"bbox\": [257, 30, 306, 40]}, {\"cell\": \"Person years\", \"bbox\": [317, 30, 365, 40]}, {\"cell\": \"Cases\", \"bbox\": [388, 30, 412, 40]}, {\"cell\": \"IRR (95% CI)\", \"bbox\": [435, 30, 484, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 50, 11, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 62, 53, 71]}, {\"cell\": \"1,032\", \"bbox\": [149, 62, 171, 71]}, {\"cell\": \"46\", \"bbox\": [217, 62, 228, 71]}, {\"cell\": \"1 (ref)\", \"bbox\": [271, 62, 293, 71]}, {\"cell\": \"1,086\", \"bbox\": [327, 62, 349, 71]}, {\"cell\": \"27\", \"bbox\": [395, 62, 406, 71]}, {\"cell\": \"1 (ref)\", \"bbox\": [448, 62, 471, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 74, 80, 83]}, {\"cell\": \"3.6\", \"bbox\": [165, 74, 178, 83]}, {\"cell\": \"16\", \"bbox\": [217, 74, 228, 83]}, {\"cell\": \"25 (11–60)\", \"bbox\": [261, 74, 301, 83]}, {\"cell\": \"4.9\", \"bbox\": [342, 74, 355, 83]}, {\"cell\": \"9\", \"bbox\": [399, 74, 406, 83]}, {\"cell\": \"13 (4.4–37)\", \"bbox\": [437, 74, 479, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 86, 82, 95]}, {\"cell\": \"39\", \"bbox\": [160, 86, 171, 95]}, {\"cell\": \"4\", \"bbox\": [222, 86, 228, 95]}, {\"cell\": \"0.8 (0.3–2.5)\", \"bbox\": [258, 86, 305, 95]}, {\"cell\": \"55\", \"bbox\": [338, 86, 349, 95]}, {\"cell\": \"3\", \"bbox\": [399, 86, 406, 95]}, {\"cell\": \"0.7 (0.2–2.4)\", \"bbox\": [435, 86, 482, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 98, 30, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 110, 53, 119]}, {\"cell\": \"498\", \"bbox\": [156, 110, 171, 119]}, {\"cell\": \"19\", \"bbox\": [217, 110, 228, 119]}, {\"cell\": \"1 (ref)\", \"bbox\": [271, 110, 293, 119]}, {\"cell\": \"516\", \"bbox\": [333, 110, 349, 119]}, {\"cell\": \"13\", \"bbox\": [395, 110, 406, 119]}, {\"cell\": \"1 (ref)\", \"bbox\": [448, 110, 471, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 121, 80, 131]}, {\"cell\": \"2.2\", \"bbox\": [165, 121, 178, 131]}, {\"cell\": \"9\", \"bbox\": [222, 121, 228, 131]}, {\"cell\": \"44 (13–153)\", \"bbox\": [261, 121, 305, 131]}, {\"cell\": \"3.1\", \"bbox\": [342, 121, 355, 131]}, {\"cell\": \"5\", \"bbox\": [399, 121, 406, 131]}, {\"cell\": \"13 (2.9–60)\", \"bbox\": [437, 121, 479, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 133, 82, 143]}, {\"cell\": \"23\", \"bbox\": [160, 133, 171, 143]}, {\"cell\": \"3\", \"bbox\": [222, 133, 228, 143]}, {\"cell\": \"1.2 (0.3–4.1)\", \"bbox\": [258, 133, 305, 143]}, {\"cell\": \"32\", \"bbox\": [338, 133, 349, 143]}, {\"cell\": \"3\", \"bbox\": [399, 133, 406, 143]}, {\"cell\": \"1.3 (0.3–5.0)\", \"bbox\": [435, 133, 482, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 145, 18, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 157, 53, 167]}, {\"cell\": \"534\", \"bbox\": [156, 157, 171, 167]}, {\"cell\": \"27\", \"bbox\": [217, 157, 228, 167]}, {\"cell\": \"1 (ref)\", \"bbox\": [271, 157, 293, 167]}, {\"cell\": \"571\", \"bbox\": [333, 157, 349, 167]}, {\"cell\": \"14\", \"bbox\": [395, 157, 406, 167]}, {\"cell\": \"1 (ref)\", \"bbox\": [448, 157, 471, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 169, 80, 179]}, {\"cell\": \"1.4\", \"bbox\": [165, 169, 178, 179]}, {\"cell\": \"7\", \"bbox\": [222, 169, 228, 179]}, {\"cell\": \"15 (4.3–49)\", \"bbox\": [261, 169, 303, 179]}, {\"cell\": \"1.7\", \"bbox\": [342, 169, 355, 179]}, {\"cell\": \"4\", \"bbox\": [399, 169, 406, 179]}, {\"cell\": \"13 (2.7–59)\", \"bbox\": [437, 169, 479, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 181, 82, 191]}, {\"cell\": \"16\", \"bbox\": [160, 181, 171, 191]}, {\"cell\": \"1\", \"bbox\": [222, 181, 228, 191]}, {\"cell\": \"0.4 (0.1–3.6)\", \"bbox\": [258, 181, 305, 191]}, {\"cell\": \"23\", \"bbox\": [338, 181, 349, 191]}, {\"cell\": \"0\", \"bbox\": [399, 181, 406, 191]}, {\"cell\": \"NA\", \"bbox\": [453, 181, 466, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 193, 131, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 205, 53, 215]}, {\"cell\": \"743\", \"bbox\": [156, 205, 171, 215]}, {\"cell\": \"27\", \"bbox\": [217, 205, 228, 215]}, {\"cell\": \"1 (ref)\", \"bbox\": [271, 205, 293, 215]}, {\"cell\": \"779\", \"bbox\": [333, 205, 349, 215]}, {\"cell\": \"16\", \"bbox\": [395, 205, 406, 215]}, {\"cell\": \"1 (ref)\", \"bbox\": [448, 205, 471, 215]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 217, 80, 227]}, {\"cell\": \"0.7\", \"bbox\": [165, 217, 178, 227]}, {\"cell\": \"1\", \"bbox\": [222, 217, 228, 227]}, {\"cell\": \"7.7 (0.6–96)\", \"bbox\": [258, 217, 303, 227]}, {\"cell\": \"1,0\", \"bbox\": [336, 217, 349, 227]}, {\"cell\": \"0\", \"bbox\": [399, 217, 406, 227]}, {\"cell\": \"NA\", \"bbox\": [453, 217, 466, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 229, 82, 239]}, {\"cell\": \"7.7\", \"bbox\": [165, 229, 178, 239]}, {\"cell\": \"1\", \"bbox\": [222, 229, 228, 239]}, {\"cell\": \"2.6 (0.3–22)\", \"bbox\": [258, 229, 303, 239]}, {\"cell\": \"12\", \"bbox\": [338, 229, 349, 239]}, {\"cell\": \"1\", \"bbox\": [399, 229, 406, 239]}, {\"cell\": \"3,0 (0.3–26)\", \"bbox\": [434, 229, 479, 239]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 241, 117, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 253, 53, 262]}, {\"cell\": \"113\", \"bbox\": [156, 253, 171, 262]}, {\"cell\": \"19\", \"bbox\": [217, 253, 228, 262]}, {\"cell\": \"1 (ref)\", \"bbox\": [271, 253, 293, 262]}, {\"cell\": \"128\", \"bbox\": [333, 253, 349, 262]}, {\"cell\": \"11\", \"bbox\": [395, 253, 406, 262]}, {\"cell\": \"1 (ref)\", \"bbox\": [448, 253, 471, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 265, 80, 274]}, {\"cell\": \"2.3\", \"bbox\": [165, 265, 178, 274]}, {\"cell\": \"15\", \"bbox\": [217, 265, 228, 274]}, {\"cell\": \"37 (15–90)\", \"bbox\": [261, 265, 301, 274]}, {\"cell\": \"3.2\", \"bbox\": [342, 265, 355, 274]}, {\"cell\": \"9\", \"bbox\": [399, 265, 406, 274]}, {\"cell\": \"40 (12–135)\", \"bbox\": [437, 265, 482, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 277, 82, 286]}, {\"cell\": \"22\", \"bbox\": [160, 277, 171, 286]}, {\"cell\": \"2\", \"bbox\": [222, 277, 228, 286]}, {\"cell\": \"0.5 (0.1–2.2)\", \"bbox\": [258, 277, 305, 286]}, {\"cell\": \"34\", \"bbox\": [338, 277, 349, 286]}, {\"cell\": \"1\", \"bbox\": [399, 277, 406, 286]}, {\"cell\": \"0.3 (0.04–2.4)\", \"bbox\": [434, 277, 485, 286]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 289, 106, 298]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 301, 53, 310]}, {\"cell\": \"176\", \"bbox\": [156, 301, 171, 310]}, {\"cell\": \"0\", \"bbox\": [222, 301, 228, 310]}, {\"cell\": \"1 (ref)\", \"bbox\": [271, 301, 293, 310]}, {\"cell\": \"179\", \"bbox\": [333, 301, 349, 310]}, {\"cell\": \"0\", \"bbox\": [399, 301, 406, 310]}, {\"cell\": \"1 (ref)\", \"bbox\": [448, 301, 471, 310]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 313, 80, 322]}, {\"cell\": \"0.6\", \"bbox\": [165, 313, 178, 322]}, {\"cell\": \"0\", \"bbox\": [222, 313, 228, 322]}, {\"cell\": \"NA\", \"bbox\": [275, 313, 288, 322]}, {\"cell\": \"0.6\", \"bbox\": [342, 313, 355, 322]}, {\"cell\": \"0\", \"bbox\": [399, 313, 406, 322]}, {\"cell\": \"NA\", \"bbox\": [453, 313, 466, 322]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 325, 82, 334]}, {\"cell\": \"9.9\", \"bbox\": [165, 325, 178, 334]}, {\"cell\": \"1\", \"bbox\": [222, 325, 228, 334]}, {\"cell\": \"NA\", \"bbox\": [275, 325, 288, 334]}, {\"cell\": \"9.9\", \"bbox\": [342, 325, 355, 334]}, {\"cell\": \"1\", \"bbox\": [399, 325, 406, 334]}, {\"cell\": \"NA\", \"bbox\": [453, 325, 466, 334]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5081485_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]MpexAZ 1AZ 2
(N = 235)*(N = 749)†(N = 597)‡
Age, mean (SD)63.7 (8.95)62.3 (8.25)[EMPTY_CELL]
Gender, n (% Male)113 (48.1)572 (76.4)[EMPTY_CELL]
Race/Ethnicity, n (%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
White214 (91.1)536 (71.6)[EMPTY_CELL]
Asian2 (0.9)212 (28.3)[EMPTY_CELL]
Black/African American18 (7.7)0 (0.0)[EMPTY_CELL]
Hispanic or Latino6 (2.6)2 (0.3)[EMPTY_CELL]
FEV1, mean (SD)§1.2 (0.58)1.7 (0.49)[EMPTY_CELL]
FEV1% predicted, mean (SD)42.2 (18.10)58.8 (12.70)[EMPTY_CELL]
GOLD stage, n (%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
022 (9.4)0 (0.0)[EMPTY_CELL]
I2 (0.9)23 (3.2)[EMPTY_CELL]
II55 (23.4)503 (69.1)[EMPTY_CELL]
III89 (37.9)197 (27.1)[EMPTY_CELL]
IV66 (28.1)5 (0.7)[EMPTY_CELL]
SGRQ total score∥57.4 (16.21)52.6 (18.36)[EMPTY_CELL]
Exercise test meters, mean (SD)289 (121)**392 (122)**[EMPTY_CELL]
RS-Total Score, mean (SD)‡‡15.7 (5.93)15.9 (6.0)[EMPTY_CELL]
RS-Breathlessness8.2 (5.93)7.9 (3.17)[EMPTY_CELL]
RS-Cough and Sputum4.1 (2.08)4.2 (1.56)[EMPTY_CELL]
RS-Chest Symptoms3.3 (2.08)3.8 (1.93)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Mpex\", \"bbox\": [109, 4, 131, 13]}, {\"cell\": \"AZ 1\", \"bbox\": [154, 4, 172, 13]}, {\"cell\": \"AZ 2\", \"bbox\": [198, 4, 217, 13]}, {\"cell\": \"(N = 235)*\", \"bbox\": [109, 17, 145, 26]}, {\"cell\": \"(N = 749)†\", \"bbox\": [154, 16, 190, 26]}, {\"cell\": \"(N = 597)‡\", \"bbox\": [198, 16, 234, 26]}, {\"cell\": \"Age, mean (SD)\", \"bbox\": [1, 30, 53, 40]}, {\"cell\": \"63.7 (8.95)\", \"bbox\": [109, 30, 144, 40]}, {\"cell\": \"62.3 (8.25)\", \"bbox\": [154, 30, 188, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 30, 233, 40]}, {\"cell\": \"Gender, n (% Male)\", \"bbox\": [1, 44, 64, 54]}, {\"cell\": \"113 (48.1)\", \"bbox\": [109, 44, 142, 54]}, {\"cell\": \"572 (76.4)\", \"bbox\": [154, 44, 187, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 44, 231, 54]}, {\"cell\": \"Race/Ethnicity, n (%)\", \"bbox\": [1, 58, 68, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" White\", \"bbox\": [8, 72, 29, 82]}, {\"cell\": \"214 (91.1)\", \"bbox\": [109, 72, 142, 82]}, {\"cell\": \"536 (71.6)\", \"bbox\": [154, 72, 187, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 72, 231, 82]}, {\"cell\": \" Asian\", \"bbox\": [8, 86, 28, 96]}, {\"cell\": \"2 (0.9)\", \"bbox\": [109, 86, 131, 96]}, {\"cell\": \"212 (28.3)\", \"bbox\": [154, 86, 187, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 86, 220, 96]}, {\"cell\": \" Black/African American\", \"bbox\": [8, 100, 84, 110]}, {\"cell\": \"18 (7.7)\", \"bbox\": [109, 100, 135, 110]}, {\"cell\": \"0 (0.0)\", \"bbox\": [154, 100, 175, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 100, 220, 110]}, {\"cell\": \" Hispanic or Latino\", \"bbox\": [8, 114, 68, 124]}, {\"cell\": \"6 (2.6)\", \"bbox\": [109, 114, 131, 124]}, {\"cell\": \"2 (0.3)\", \"bbox\": [154, 114, 175, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 114, 220, 124]}, {\"cell\": \"FEV1, mean (SD)§\", \"bbox\": [1, 127, 57, 138]}, {\"cell\": \"1.2 (0.58)\", \"bbox\": [109, 128, 140, 138]}, {\"cell\": \"1.7 (0.49)\", \"bbox\": [154, 128, 184, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 128, 229, 138]}, {\"cell\": \"FEV1% predicted, mean (SD)\", \"bbox\": [1, 142, 93, 152]}, {\"cell\": \"42.2 (18.10)\", \"bbox\": [109, 142, 147, 152]}, {\"cell\": \"58.8 (12.70)\", \"bbox\": [154, 142, 192, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 142, 236, 152]}, {\"cell\": \"GOLD stage, n (%)\", \"bbox\": [0, 155, 64, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 0\", \"bbox\": [8, 170, 14, 180]}, {\"cell\": \"22 (9.4)\", \"bbox\": [109, 170, 135, 180]}, {\"cell\": \"0 (0.0)\", \"bbox\": [154, 170, 175, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 170, 220, 180]}, {\"cell\": \" I\", \"bbox\": [8, 184, 12, 194]}, {\"cell\": \"2 (0.9)\", \"bbox\": [109, 184, 131, 194]}, {\"cell\": \"23 (3.2)\", \"bbox\": [154, 184, 179, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 184, 224, 194]}, {\"cell\": \" II\", \"bbox\": [8, 198, 14, 208]}, {\"cell\": \"55 (23.4)\", \"bbox\": [109, 198, 138, 208]}, {\"cell\": \"503 (69.1)\", \"bbox\": [154, 198, 187, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 198, 231, 208]}, {\"cell\": \" III\", \"bbox\": [8, 212, 15, 222]}, {\"cell\": \"89 (37.9)\", \"bbox\": [109, 212, 138, 222]}, {\"cell\": \"197 (27.1)\", \"bbox\": [154, 212, 187, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 212, 231, 222]}, {\"cell\": \" IV\", \"bbox\": [8, 226, 16, 236]}, {\"cell\": \"66 (28.1)\", \"bbox\": [109, 226, 138, 236]}, {\"cell\": \"5 (0.7)\", \"bbox\": [154, 226, 175, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 226, 224, 236]}, {\"cell\": \"SGRQ total score∥\", \"bbox\": [1, 239, 60, 250]}, {\"cell\": \"57.4 (16.21)\", \"bbox\": [109, 240, 147, 250]}, {\"cell\": \"52.6 (18.36)\", \"bbox\": [154, 240, 192, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 240, 236, 250]}, {\"cell\": \"Exercise test meters, mean (SD)\", \"bbox\": [1, 254, 103, 264]}, {\"cell\": \"289 (121)**\", \"bbox\": [109, 254, 147, 264]}, {\"cell\": \"392 (122)**\", \"bbox\": [154, 254, 192, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 253, 236, 264]}, {\"cell\": \"RS-Total Score, mean (SD)‡‡\", \"bbox\": [1, 267, 91, 278]}, {\"cell\": \"15.7 (5.93)\", \"bbox\": [109, 268, 144, 278]}, {\"cell\": \"15.9 (6.0)\", \"bbox\": [154, 268, 184, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 268, 233, 278]}, {\"cell\": \" RS-Breathlessness\", \"bbox\": [8, 282, 66, 292]}, {\"cell\": \"8.2 (5.93)\", \"bbox\": [109, 282, 140, 292]}, {\"cell\": \"7.9 (3.17)\", \"bbox\": [154, 282, 184, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 282, 229, 292]}, {\"cell\": \" RS-Cough and Sputum\", \"bbox\": [8, 296, 84, 306]}, {\"cell\": \"4.1 (2.08)\", \"bbox\": [109, 296, 140, 306]}, {\"cell\": \"4.2 (1.56)\", \"bbox\": [154, 296, 184, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 296, 229, 306]}, {\"cell\": \" RS-Chest Symptoms\", \"bbox\": [8, 310, 75, 320]}, {\"cell\": \"3.3 (2.08)\", \"bbox\": [109, 310, 140, 320]}, {\"cell\": \"3.8 (1.93)\", \"bbox\": [154, 310, 184, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 310, 229, 320]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4203869_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariablesAll epilepsy cases (years)IdE (years)StE (years)
n (dead)median (95 % CI)P valuen (dead)median (95 % CI)P valuen (dead)median (95 % CI)P value
Gender
Male52 (30)8.9 (5.6–11.8)[EMPTY_CELL]37 (18)11.3 (7.3–12.6)0.4515 (12)4.5 (0.4–10.4)0.20
Female42 (13)10.1 (9.2–∞)[EMPTY_CELL]10.1 (9.2–∞)15 (6)NA (1.9–∞)
Status of neuter
Intact53 (26)10.2 (8.1–11.8)[EMPTY_CELL]35 (15)10.4 (8.9–14.5)0.3118 (11)10.2 (1.3–∞)0.46
Neuter41 (17)9.3 (6.3–∞)[EMPTY_CELL]9.3 (6.3–∞)12 (7)6.7 (0.4–∞)
Body weight
< 6.6 kg47 (20)10.2 (6.7–14.5)[EMPTY_CELL]31 (11)11.9 (7.5–∞)0.2816 (9)6.7 (3.3–∞)0.27
≥ 6.6 kg47 (23)9.3 (7.1–10.4)[EMPTY_CELL]10.1 (7.3–∞)14 (9)4.0 (0.4–∞)
Seizure frequency at last follow-up
< 0.3 sz/month48 (16)11.8 (10.4–14.5)[EMPTY_CELL]37 (11)11.9 (11.3–14.5)<0.0111 (5)10.4 (0.58–∞)0.06
≥ 0.3 sz/month46 (27)7.3 (4.5–9.2)[EMPTY_CELL]8.9 (5.3–10.1)19 (13)4.5 (1.2–∞)
Epileptic seizure type
FES20 (6)8.9 (3.3–∞)[EMPTY_CELL]15 (4)8.9 (2.9–∞)0.205 (2)NA (0.2–∞)0.89
GES51 (26)10.4 (7.3–11.9)[EMPTY_CELL]11.3 (10.1–14.5)21 (14)5.6 (1.2–10.4)
FEvG23 (11)8.1 (6.3–∞)[EMPTY_CELL]9.2 (5.3–∞)4 (2)6.7 (6.7–∞)
Development of CS
Yes43 (22)9.2 (4.1–11.3)[EMPTY_CELL]26 (11)10.4 (4.1–∞)0.2117 (11)4.5 (1.1–∞)0.18
No51 (21)10.1 (8.1–11.9)[EMPTY_CELL]10.1 (8.1–14.5)13 (7)6.7 (3.3–∞)
Development of SE
Yes16 (9)10.1 (4.1–11.9)[EMPTY_CELL]13 (7)10.1 (4.1–∞)0.423 (2)10.4 (3.3–∞)0.54
No78 (34)10.2 (7.5–11.8)[EMPTY_CELL]10.4 (8.9–∞)27 (16)6.7 (1.3–∞)
Using AEDs at last follow-up
None or monotherapy58 (26)10.4 (7.1–12.6)[EMPTY_CELL]37 (14)11.9 (7.5–14.5)0.2922 (12)5.6 (1.3–∞)0.50
Polytherapy36 (17)9.3 (6.7–10.4)[EMPTY_CELL]9.3 (7.3–11.3)8 (6)6.7 (1.1–∞)
\", \"cells\": [{\"cell\": \"Variables\", \"bbox\": [1, 4, 30, 13]}, {\"cell\": \"All epilepsy cases (years)\", \"bbox\": [90, 4, 170, 13]}, {\"cell\": \"IdE (years)\", \"bbox\": [224, 4, 259, 13]}, {\"cell\": \"StE (years)\", \"bbox\": [358, 4, 393, 13]}, {\"cell\": \"n (dead)\", \"bbox\": [90, 17, 119, 27]}, {\"cell\": \"median (95 % CI)\", \"bbox\": [127, 17, 184, 27]}, {\"cell\": \"P value\", \"bbox\": [192, 17, 217, 27]}, {\"cell\": \"n (dead)\", \"bbox\": [224, 17, 253, 27]}, {\"cell\": \"median (95 % CI)\", \"bbox\": [261, 17, 318, 27]}, {\"cell\": \"P value\", \"bbox\": [326, 17, 350, 27]}, {\"cell\": \"n (dead)\", \"bbox\": [358, 17, 387, 27]}, {\"cell\": \"median (95 % CI)\", \"bbox\": [395, 17, 452, 27]}, {\"cell\": \"P value\", \"bbox\": [459, 17, 484, 27]}, {\"cell\": \"Gender\", \"bbox\": [1, 30, 26, 40]}, {\"cell\": \" Male\", \"bbox\": [8, 44, 26, 54]}, {\"cell\": \"52 (30)\", \"bbox\": [93, 44, 117, 54]}, {\"cell\": \"8.9 (5.6–11.8)\", \"bbox\": [134, 44, 177, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 44, 214, 54]}, {\"cell\": \"37 (18)\", \"bbox\": [227, 44, 251, 54]}, {\"cell\": \"11.3 (7.3–12.6)\", \"bbox\": [264, 44, 311, 54]}, {\"cell\": \"0.45\", \"bbox\": [333, 44, 348, 54]}, {\"cell\": \"15 (12)\", \"bbox\": [361, 44, 384, 54]}, {\"cell\": \"4.5 (0.4–10.4)\", \"bbox\": [403, 44, 447, 54]}, {\"cell\": \"0.20\", \"bbox\": [465, 44, 479, 54]}, {\"cell\": \" Female\", \"bbox\": [8, 58, 34, 68]}, {\"cell\": \"42 (13)\", \"bbox\": [93, 58, 117, 68]}, {\"cell\": \"10.1 (9.2–∞)\", \"bbox\": [130, 58, 170, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [227, 58, 247, 68]}, {\"cell\": \"10.1 (9.2–∞)\", \"bbox\": [264, 58, 304, 68]}, {\"cell\": \"15 (6)\", \"bbox\": [361, 58, 381, 68]}, {\"cell\": \"NA (1.9–∞)\", \"bbox\": [403, 58, 440, 68]}, {\"cell\": \"Status of neuter\", \"bbox\": [1, 72, 54, 82]}, {\"cell\": \" Intact\", \"bbox\": [8, 86, 28, 96]}, {\"cell\": \"53 (26)\", \"bbox\": [93, 86, 117, 96]}, {\"cell\": \"10.2 (8.1–11.8)\", \"bbox\": [130, 86, 177, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 86, 214, 96]}, {\"cell\": \"35 (15)\", \"bbox\": [227, 86, 251, 96]}, {\"cell\": \"10.4 (8.9–14.5)\", \"bbox\": [264, 86, 311, 96]}, {\"cell\": \"0.31\", \"bbox\": [333, 86, 348, 96]}, {\"cell\": \"18 (11)\", \"bbox\": [361, 86, 384, 96]}, {\"cell\": \"10.2 (1.3–∞)\", \"bbox\": [400, 86, 440, 96]}, {\"cell\": \"0.46\", \"bbox\": [465, 86, 479, 96]}, {\"cell\": \" Neuter\", \"bbox\": [8, 100, 32, 110]}, {\"cell\": \"41 (17)\", \"bbox\": [93, 100, 117, 110]}, {\"cell\": \"9.3 (6.3–∞)\", \"bbox\": [134, 100, 170, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [227, 100, 251, 110]}, {\"cell\": \"9.3 (6.3–∞)\", \"bbox\": [268, 100, 304, 110]}, {\"cell\": \"12 (7)\", \"bbox\": [361, 100, 381, 110]}, {\"cell\": \"6.7 (0.4–∞)\", \"bbox\": [403, 100, 440, 110]}, {\"cell\": \"Body weight\", \"bbox\": [1, 114, 43, 124]}, {\"cell\": \" < 6.6 kg\", \"bbox\": [9, 128, 36, 138]}, {\"cell\": \"47 (20)\", \"bbox\": [93, 128, 117, 138]}, {\"cell\": \"10.2 (6.7–14.5)\", \"bbox\": [130, 128, 177, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 128, 214, 138]}, {\"cell\": \"31 (11)\", \"bbox\": [227, 128, 251, 138]}, {\"cell\": \"11.9 (7.5–∞)\", \"bbox\": [264, 128, 304, 138]}, {\"cell\": \"0.28\", \"bbox\": [333, 128, 348, 138]}, {\"cell\": \"16 (9)\", \"bbox\": [361, 128, 381, 138]}, {\"cell\": \"6.7 (3.3–∞)\", \"bbox\": [403, 128, 440, 138]}, {\"cell\": \"0.27\", \"bbox\": [465, 128, 479, 138]}, {\"cell\": \" ≥ 6.6 kg\", \"bbox\": [9, 142, 36, 152]}, {\"cell\": \"47 (23)\", \"bbox\": [93, 142, 117, 152]}, {\"cell\": \"9.3 (7.1–10.4)\", \"bbox\": [134, 142, 177, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [227, 142, 251, 152]}, {\"cell\": \"10.1 (7.3–∞)\", \"bbox\": [264, 142, 304, 152]}, {\"cell\": \"14 (9)\", \"bbox\": [361, 142, 381, 152]}, {\"cell\": \"4.0 (0.4–∞)\", \"bbox\": [403, 142, 440, 152]}, {\"cell\": \"Seizure frequency at last follow-up\", \"bbox\": [1, 156, 113, 166]}, {\"cell\": \" < 0.3 sz/month\", \"bbox\": [9, 170, 59, 180]}, {\"cell\": \"48 (16)\", \"bbox\": [93, 170, 117, 180]}, {\"cell\": \"11.8 (10.4–14.5)\", \"bbox\": [130, 170, 181, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [194, 170, 214, 180]}, {\"cell\": \"37 (11)\", \"bbox\": [227, 170, 251, 180]}, {\"cell\": \"11.9 (11.3–14.5)\", \"bbox\": [264, 170, 315, 180]}, {\"cell\": \"<0.01\", \"bbox\": [328, 170, 348, 180]}, {\"cell\": \"11 (5)\", \"bbox\": [361, 170, 381, 180]}, {\"cell\": \"10.4 (0.58–∞)\", \"bbox\": [400, 170, 443, 180]}, {\"cell\": \"0.06\", \"bbox\": [465, 170, 479, 180]}, {\"cell\": \" ≥ 0.3 sz/month\", \"bbox\": [9, 184, 59, 194]}, {\"cell\": \"46 (27)\", \"bbox\": [93, 184, 117, 194]}, {\"cell\": \"7.3 (4.5–9.2)\", \"bbox\": [134, 184, 173, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [227, 184, 251, 194]}, {\"cell\": \"8.9 (5.3–10.1)\", \"bbox\": [268, 184, 311, 194]}, {\"cell\": \"19 (13)\", \"bbox\": [361, 184, 384, 194]}, {\"cell\": \"4.5 (1.2–∞)\", \"bbox\": [403, 184, 440, 194]}, {\"cell\": \"Epileptic seizure type\", \"bbox\": [1, 198, 70, 208]}, {\"cell\": \" FES\", \"bbox\": [9, 212, 21, 222]}, {\"cell\": \"20 (6)\", \"bbox\": [93, 212, 113, 222]}, {\"cell\": \"8.9 (3.3–∞)\", \"bbox\": [134, 212, 170, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 212, 214, 222]}, {\"cell\": \"15 (4)\", \"bbox\": [227, 212, 247, 222]}, {\"cell\": \"8.9 (2.9–∞)\", \"bbox\": [268, 212, 304, 222]}, {\"cell\": \"0.20\", \"bbox\": [333, 212, 348, 222]}, {\"cell\": \"5 (2)\", \"bbox\": [364, 212, 381, 222]}, {\"cell\": \"NA (0.2–∞)\", \"bbox\": [403, 212, 440, 222]}, {\"cell\": \"0.89\", \"bbox\": [465, 212, 479, 222]}, {\"cell\": \" GES\", \"bbox\": [9, 226, 23, 236]}, {\"cell\": \"51 (26)\", \"bbox\": [93, 226, 117, 236]}, {\"cell\": \"10.4 (7.3–11.9)\", \"bbox\": [130, 226, 177, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [227, 226, 251, 236]}, {\"cell\": \"11.3 (10.1–14.5)\", \"bbox\": [264, 226, 315, 236]}, {\"cell\": \"21 (14)\", \"bbox\": [361, 226, 384, 236]}, {\"cell\": \"5.6 (1.2–10.4)\", \"bbox\": [403, 226, 447, 236]}, {\"cell\": \" FEvG\", \"bbox\": [8, 240, 26, 250]}, {\"cell\": \"23 (11)\", \"bbox\": [93, 240, 117, 250]}, {\"cell\": \"8.1 (6.3–∞)\", \"bbox\": [134, 240, 170, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [227, 240, 247, 250]}, {\"cell\": \"9.2 (5.3–∞)\", \"bbox\": [268, 240, 304, 250]}, {\"cell\": \"4 (2)\", \"bbox\": [364, 240, 381, 250]}, {\"cell\": \"6.7 (6.7–∞)\", \"bbox\": [403, 240, 440, 250]}, {\"cell\": \"Development of CS\", \"bbox\": [1, 254, 65, 264]}, {\"cell\": \" Yes\", \"bbox\": [8, 268, 21, 278]}, {\"cell\": \"43 (22)\", \"bbox\": [93, 268, 117, 278]}, {\"cell\": \"9.2 (4.1–11.3)\", \"bbox\": [134, 268, 177, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 268, 214, 278]}, {\"cell\": \"26 (11)\", \"bbox\": [227, 268, 251, 278]}, {\"cell\": \"10.4 (4.1–∞)\", \"bbox\": [264, 268, 304, 278]}, {\"cell\": \"0.21\", \"bbox\": [333, 268, 348, 278]}, {\"cell\": \"17 (11)\", \"bbox\": [361, 268, 384, 278]}, {\"cell\": \"4.5 (1.1–∞)\", \"bbox\": [403, 268, 440, 278]}, {\"cell\": \"0.18\", \"bbox\": [465, 268, 479, 278]}, {\"cell\": \" No\", \"bbox\": [9, 282, 20, 292]}, {\"cell\": \"51 (21)\", \"bbox\": [93, 282, 117, 292]}, {\"cell\": \"10.1 (8.1–11.9)\", \"bbox\": [130, 282, 177, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [227, 282, 251, 292]}, {\"cell\": \"10.1 (8.1–14.5)\", \"bbox\": [264, 282, 311, 292]}, {\"cell\": \"13 (7)\", \"bbox\": [361, 282, 381, 292]}, {\"cell\": \"6.7 (3.3–∞)\", \"bbox\": [403, 282, 440, 292]}, {\"cell\": \"Development of SE\", \"bbox\": [1, 296, 64, 306]}, {\"cell\": \" Yes\", \"bbox\": [9, 310, 21, 320]}, {\"cell\": \"16 (9)\", \"bbox\": [93, 310, 113, 320]}, {\"cell\": \"10.1 (4.1–11.9)\", \"bbox\": [130, 310, 177, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 310, 214, 320]}, {\"cell\": \"13 (7)\", \"bbox\": [227, 310, 247, 320]}, {\"cell\": \"10.1 (4.1–∞)\", \"bbox\": [264, 310, 304, 320]}, {\"cell\": \"0.42\", \"bbox\": [333, 310, 348, 320]}, {\"cell\": \"3 (2)\", \"bbox\": [364, 310, 381, 320]}, {\"cell\": \"10.4 (3.3–∞)\", \"bbox\": [400, 310, 440, 320]}, {\"cell\": \"0.54\", \"bbox\": [465, 310, 479, 320]}, {\"cell\": \" No\", \"bbox\": [9, 324, 20, 334]}, {\"cell\": \"78 (34)\", \"bbox\": [93, 324, 117, 334]}, {\"cell\": \"10.2 (7.5–11.8)\", \"bbox\": [130, 324, 177, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [227, 324, 251, 334]}, {\"cell\": \"10.4 (8.9–∞)\", \"bbox\": [264, 324, 304, 334]}, {\"cell\": \"27 (16)\", \"bbox\": [361, 324, 384, 334]}, {\"cell\": \"6.7 (1.3–∞)\", \"bbox\": [403, 324, 440, 334]}, {\"cell\": \"Using AEDs at last follow-up\", \"bbox\": [1, 338, 94, 348]}, {\"cell\": \" None or monotherapy\", \"bbox\": [9, 352, 83, 362]}, {\"cell\": \"58 (26)\", \"bbox\": [93, 352, 117, 362]}, {\"cell\": \"10.4 (7.1–12.6)\", \"bbox\": [130, 352, 177, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 352, 214, 362]}, {\"cell\": \"37 (14)\", \"bbox\": [227, 352, 251, 362]}, {\"cell\": \"11.9 (7.5–14.5)\", \"bbox\": [264, 352, 311, 362]}, {\"cell\": \"0.29\", \"bbox\": [333, 352, 348, 362]}, {\"cell\": \"22 (12)\", \"bbox\": [361, 352, 384, 362]}, {\"cell\": \"5.6 (1.3–∞)\", \"bbox\": [403, 352, 440, 362]}, {\"cell\": \"0.50\", \"bbox\": [465, 352, 479, 362]}, {\"cell\": \" Polytherapy\", \"bbox\": [9, 366, 48, 376]}, {\"cell\": \"36 (17)\", \"bbox\": [93, 366, 117, 376]}, {\"cell\": \"9.3 (6.7–10.4)\", \"bbox\": [134, 366, 177, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [227, 366, 251, 376]}, {\"cell\": \"9.3 (7.3–11.3)\", \"bbox\": [268, 366, 311, 376]}, {\"cell\": \"8 (6)\", \"bbox\": [364, 366, 381, 376]}, {\"cell\": \"6.7 (1.1–∞)\", \"bbox\": [403, 366, 440, 376]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5103468_011_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
RegionHemisphereCluster sizePeak voxel (x)Peak voxel (y)Peak voxel (z)Maximum Z-value
HABITUATION EFFECT OF THE STRESSFUL TASK
Cerebellum crus I[EMPTY_CELL]1395728−80−224.36
amygdala[EMPTY_CELL][EMPTY_CELL]−28−6−143.74
hippocampus[EMPTY_CELL][EMPTY_CELL]−32−26−113.01
temporal pole[EMPTY_CELL][EMPTY_CELL]−42−12−304
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]400−363.92
cerebellum vermis[EMPTY_CELL][EMPTY_CELL]−6−49−233.28
fusiform gyrus[EMPTY_CELL][EMPTY_CELL]−28−56−63.52
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]36−36192.87
Lateral parietal cortex[EMPTY_CELL]180132−70543.47
HABITUATION EFFECT OF THE MINDFUL BREATHING TASK
Midbrain[EMPTY_CELL]1862−6−16−164.7
midbrain[EMPTY_CELL][EMPTY_CELL]6−10−123.7
pons[EMPTY_CELL][EMPTY_CELL]2−20−244.25
thalamus[EMPTY_CELL][EMPTY_CELL]−20−20−103.71
hippocampus[EMPTY_CELL][EMPTY_CELL]−40−20−163.73
\", \"cells\": [{\"cell\": \"Region\", \"bbox\": [0, 6, 27, 16]}, {\"cell\": \"Hemisphere\", \"bbox\": [95, 6, 139, 16]}, {\"cell\": \"Cluster size\", \"bbox\": [160, 6, 203, 16]}, {\"cell\": \"Peak voxel (x)\", \"bbox\": [224, 6, 275, 16]}, {\"cell\": \"Peak voxel (y)\", \"bbox\": [296, 6, 347, 16]}, {\"cell\": \"Peak voxel (z)\", \"bbox\": [368, 6, 419, 16]}, {\"cell\": \"Maximum Z-value\", \"bbox\": [440, 6, 507, 16]}, {\"cell\": \"HABITUATION EFFECT OF THE STRESSFUL TASK\", \"bbox\": [3, 26, 177, 35]}, {\"cell\": \"Cerebellum crus I\", \"bbox\": [0, 38, 61, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [95, 38, 102, 47]}, {\"cell\": \"13957\", \"bbox\": [160, 38, 182, 47]}, {\"cell\": \"28\", \"bbox\": [229, 38, 240, 47]}, {\"cell\": \"−80\", \"bbox\": [296, 38, 312, 47]}, {\"cell\": \"−22\", \"bbox\": [368, 38, 384, 47]}, {\"cell\": \"4.36\", \"bbox\": [446, 38, 462, 47]}, {\"cell\": \"amygdala\", \"bbox\": [8, 49, 41, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [95, 49, 101, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−28\", \"bbox\": [224, 49, 240, 58]}, {\"cell\": \"−6\", \"bbox\": [296, 49, 308, 58]}, {\"cell\": \"−14\", \"bbox\": [368, 49, 384, 58]}, {\"cell\": \"3.74\", \"bbox\": [446, 49, 461, 58]}, {\"cell\": \"hippocampus\", \"bbox\": [8, 61, 54, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [95, 61, 101, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−32\", \"bbox\": [224, 61, 240, 70]}, {\"cell\": \"−26\", \"bbox\": [296, 61, 312, 70]}, {\"cell\": \"−11\", \"bbox\": [368, 61, 383, 70]}, {\"cell\": \"3.01\", \"bbox\": [446, 61, 462, 70]}, {\"cell\": \"temporal pole\", \"bbox\": [8, 72, 56, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [95, 72, 101, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−42\", \"bbox\": [224, 72, 240, 81]}, {\"cell\": \"−12\", \"bbox\": [296, 72, 312, 81]}, {\"cell\": \"−30\", \"bbox\": [368, 72, 384, 81]}, {\"cell\": \"4\", \"bbox\": [446, 72, 452, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [95, 83, 102, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"40\", \"bbox\": [229, 84, 240, 92]}, {\"cell\": \"0\", \"bbox\": [302, 84, 308, 92]}, {\"cell\": \"−36\", \"bbox\": [368, 84, 384, 92]}, {\"cell\": \"3.92\", \"bbox\": [446, 84, 462, 92]}, {\"cell\": \"cerebellum vermis\", \"bbox\": [8, 95, 71, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [95, 95, 101, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−6\", \"bbox\": [224, 95, 236, 104]}, {\"cell\": \"−49\", \"bbox\": [296, 95, 312, 104]}, {\"cell\": \"−23\", \"bbox\": [368, 95, 384, 104]}, {\"cell\": \"3.28\", \"bbox\": [446, 95, 462, 104]}, {\"cell\": \"fusiform gyrus\", \"bbox\": [8, 106, 58, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [95, 106, 101, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−28\", \"bbox\": [224, 106, 240, 115]}, {\"cell\": \"−56\", \"bbox\": [296, 106, 312, 115]}, {\"cell\": \"−6\", \"bbox\": [368, 106, 380, 115]}, {\"cell\": \"3.52\", \"bbox\": [446, 106, 462, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [95, 118, 102, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"36\", \"bbox\": [229, 118, 240, 127]}, {\"cell\": \"−36\", \"bbox\": [296, 118, 312, 127]}, {\"cell\": \"19\", \"bbox\": [374, 118, 384, 127]}, {\"cell\": \"2.87\", \"bbox\": [446, 118, 462, 127]}, {\"cell\": \"Lateral parietal cortex\", \"bbox\": [0, 129, 74, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [95, 129, 102, 138]}, {\"cell\": \"1801\", \"bbox\": [160, 129, 178, 138]}, {\"cell\": \"32\", \"bbox\": [229, 129, 240, 138]}, {\"cell\": \"−70\", \"bbox\": [296, 129, 312, 138]}, {\"cell\": \"54\", \"bbox\": [374, 129, 384, 138]}, {\"cell\": \"3.47\", \"bbox\": [446, 129, 462, 138]}, {\"cell\": \"HABITUATION EFFECT OF THE MINDFUL BREATHING TASK\", \"bbox\": [3, 141, 214, 150]}, {\"cell\": \"Midbrain\", \"bbox\": [0, 152, 32, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [95, 152, 101, 161]}, {\"cell\": \"1862\", \"bbox\": [160, 152, 178, 161]}, {\"cell\": \"−6\", \"bbox\": [224, 152, 236, 161]}, {\"cell\": \"−16\", \"bbox\": [296, 152, 312, 161]}, {\"cell\": \"−16\", \"bbox\": [368, 152, 384, 161]}, {\"cell\": \"4.7\", \"bbox\": [446, 152, 458, 161]}, {\"cell\": \"midbrain\", \"bbox\": [8, 164, 39, 173]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [95, 164, 102, 173]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"6\", \"bbox\": [229, 164, 236, 173]}, {\"cell\": \"−10\", \"bbox\": [296, 164, 311, 173]}, {\"cell\": \"−12\", \"bbox\": [368, 164, 384, 173]}, {\"cell\": \"3.7\", \"bbox\": [446, 164, 458, 173]}, {\"cell\": \"pons\", \"bbox\": [8, 175, 26, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [95, 175, 102, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2\", \"bbox\": [229, 175, 236, 184]}, {\"cell\": \"−20\", \"bbox\": [296, 175, 312, 184]}, {\"cell\": \"−24\", \"bbox\": [368, 175, 384, 184]}, {\"cell\": \"4.25\", \"bbox\": [446, 175, 462, 184]}, {\"cell\": \"thalamus\", \"bbox\": [8, 187, 40, 196]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [95, 187, 101, 196]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−20\", \"bbox\": [224, 187, 240, 196]}, {\"cell\": \"−20\", \"bbox\": [296, 187, 312, 196]}, {\"cell\": \"−10\", \"bbox\": [368, 187, 384, 196]}, {\"cell\": \"3.71\", \"bbox\": [446, 187, 462, 196]}, {\"cell\": \"hippocampus\", \"bbox\": [8, 198, 54, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [95, 198, 101, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−40\", \"bbox\": [224, 198, 240, 207]}, {\"cell\": \"−20\", \"bbox\": [296, 198, 312, 207]}, {\"cell\": \"−16\", \"bbox\": [368, 198, 384, 207]}, {\"cell\": \"3.73\", \"bbox\": [446, 198, 462, 207]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3671570_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Overall(n = 396)Urban(n = 192)Rural(n = 204)Urban vs. Rural
[EMPTY_CELL]N infected% (95% Cl)N infected% (95% Cl)N infected% (95% Cl)p value
Parasite species
Toxocara canis16541.7 (36.8 – 46.7)7237.5 (30.6 – 44.8)9345.6 (39.6 – 53.7)[EMPTY_CELL]
Ancylostoma sp.6716.9 (13.4 – 21.0)2714.1 (9.5 – 19.8)4019.6 (14.4 – 25.7)[EMPTY_CELL]
Trichuris vulpis5714.4 (9.7 – 16.6)2814.6 (9.9 – 20.4)2914.2 (9.7 – 19.8)[EMPTY_CELL]
Dipylidium caninum369.1 (6.5 – 12.4)115.7 (2.9 – 10.0)2512.3 (8.1 – 17.6)[EMPTY_CELL]
Taenidae338.3 (5.8 – 11.5)31.6 (0.3 – 4.5)3014.7 (10.2 – 20.3)[EMPTY_CELL]
Strongyloides sp.153.8 (2.1 – 6.2)31.6 (0.3 – 4.5)125.8 (3.1 – 10.1)[EMPTY_CELL]
Number of intestinal helminth species per host
One helminth species19649.4 (44.2 – 54.3)9247.9 (40.7 – 55.2)10451.0 (43.9 – 58.3)[EMPTY_CELL]
Two helminth species5213.1 (10.0 – 16.9)178.9 (5.2 – 13.8)3517.5 (12.3 – 23.0)[EMPTY_CELL]
Three helminth species184.6 (2.7 – 7.1)42.1 (0.6 – 5.2)146.9 (3.8 – 11.2)[EMPTY_CELL]
Four or more helminth species51.3 (0.0 – 2.9)0-52.5 (0.1 – 5.6)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Overall(n = 396)\", \"bbox\": [149, 4, 182, 23]}, {\"cell\": \"Urban(n = 192)\", \"bbox\": [259, 4, 292, 23]}, {\"cell\": \"Rural(n = 204)\", \"bbox\": [369, 4, 402, 23]}, {\"cell\": \"Urban vs. Rural\", \"bbox\": [444, 4, 497, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"N infected\", \"bbox\": [114, 24, 151, 34]}, {\"cell\": \"% (95% Cl)\", \"bbox\": [168, 24, 207, 34]}, {\"cell\": \"N infected\", \"bbox\": [224, 24, 261, 34]}, {\"cell\": \"% (95% Cl)\", \"bbox\": [278, 24, 317, 34]}, {\"cell\": \"N infected\", \"bbox\": [334, 24, 371, 34]}, {\"cell\": \"% (95% Cl)\", \"bbox\": [388, 24, 427, 34]}, {\"cell\": \"p value\", \"bbox\": [444, 24, 469, 34]}, {\"cell\": \"Parasite species\", \"bbox\": [4, 46, 67, 56]}, {\"cell\": \"Toxocara canis\", \"bbox\": [4, 57, 53, 66]}, {\"cell\": \"165\", \"bbox\": [125, 57, 140, 66]}, {\"cell\": \"41.7 (36.8 – 46.7)\", \"bbox\": [157, 57, 218, 66]}, {\"cell\": \"72\", \"bbox\": [237, 57, 247, 66]}, {\"cell\": \"37.5 (30.6 – 44.8)\", \"bbox\": [267, 57, 328, 66]}, {\"cell\": \"93\", \"bbox\": [347, 57, 357, 66]}, {\"cell\": \"45.6 (39.6 – 53.7)\", \"bbox\": [377, 57, 438, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 57, 460, 66]}, {\"cell\": \"Ancylostoma sp.\", \"bbox\": [4, 67, 56, 76]}, {\"cell\": \"67\", \"bbox\": [127, 67, 137, 76]}, {\"cell\": \"16.9 (13.4 – 21.0)\", \"bbox\": [157, 67, 218, 76]}, {\"cell\": \"27\", \"bbox\": [237, 67, 247, 76]}, {\"cell\": \"14.1 (9.5 – 19.8)\", \"bbox\": [269, 67, 326, 76]}, {\"cell\": \"40\", \"bbox\": [347, 67, 357, 76]}, {\"cell\": \"19.6 (14.4 – 25.7)\", \"bbox\": [377, 67, 438, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 67, 460, 76]}, {\"cell\": \"Trichuris vulpis\", \"bbox\": [4, 77, 52, 87]}, {\"cell\": \"57\", \"bbox\": [127, 77, 137, 87]}, {\"cell\": \"14.4 (9.7 – 16.6)\", \"bbox\": [159, 77, 216, 87]}, {\"cell\": \"28\", \"bbox\": [237, 77, 247, 87]}, {\"cell\": \"14.6 (9.9 – 20.4)\", \"bbox\": [269, 77, 326, 87]}, {\"cell\": \"29\", \"bbox\": [347, 77, 357, 87]}, {\"cell\": \"14.2 (9.7 – 19.8)\", \"bbox\": [379, 77, 436, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 77, 456, 87]}, {\"cell\": \"Dipylidium caninum\", \"bbox\": [4, 87, 68, 97]}, {\"cell\": \"36\", \"bbox\": [127, 87, 137, 97]}, {\"cell\": \"9.1 (6.5 – 12.4)\", \"bbox\": [161, 87, 214, 97]}, {\"cell\": \"11\", \"bbox\": [237, 87, 247, 97]}, {\"cell\": \"5.7 (2.9 – 10.0)\", \"bbox\": [271, 87, 324, 97]}, {\"cell\": \"25\", \"bbox\": [347, 87, 357, 97]}, {\"cell\": \"12.3 (8.1 – 17.6)\", \"bbox\": [379, 87, 436, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 87, 464, 97]}, {\"cell\": \"Taenidae\", \"bbox\": [4, 97, 36, 107]}, {\"cell\": \"33\", \"bbox\": [127, 97, 137, 107]}, {\"cell\": \"8.3 (5.8 – 11.5)\", \"bbox\": [161, 97, 214, 107]}, {\"cell\": \"3\", \"bbox\": [239, 97, 245, 107]}, {\"cell\": \"1.6 (0.3 – 4.5)\", \"bbox\": [273, 97, 322, 107]}, {\"cell\": \"30\", \"bbox\": [347, 97, 357, 107]}, {\"cell\": \"14.7 (10.2 – 20.3)\", \"bbox\": [377, 97, 438, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 97, 475, 107]}, {\"cell\": \"Strongyloides sp.\", \"bbox\": [4, 108, 58, 117]}, {\"cell\": \"15\", \"bbox\": [127, 108, 137, 117]}, {\"cell\": \"3.8 (2.1 – 6.2)\", \"bbox\": [163, 108, 212, 117]}, {\"cell\": \"3\", \"bbox\": [239, 108, 245, 117]}, {\"cell\": \"1.6 (0.3 – 4.5)\", \"bbox\": [273, 108, 322, 117]}, {\"cell\": \"12\", \"bbox\": [347, 108, 357, 117]}, {\"cell\": \"5.8 (3.1 – 10.1)\", \"bbox\": [381, 108, 434, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 108, 464, 117]}, {\"cell\": \"Number of intestinal helminth species per host\", \"bbox\": [4, 118, 187, 128]}, {\"cell\": \"One helminth species\", \"bbox\": [4, 128, 79, 138]}, {\"cell\": \"196\", \"bbox\": [125, 128, 140, 138]}, {\"cell\": \"49.4 (44.2 – 54.3)\", \"bbox\": [157, 128, 218, 138]}, {\"cell\": \"92\", \"bbox\": [237, 128, 247, 138]}, {\"cell\": \"47.9 (40.7 – 55.2)\", \"bbox\": [267, 128, 328, 138]}, {\"cell\": \"104\", \"bbox\": [345, 128, 360, 138]}, {\"cell\": \"51.0 (43.9 – 58.3)\", \"bbox\": [377, 128, 438, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 128, 456, 138]}, {\"cell\": \"Two helminth species\", \"bbox\": [4, 138, 79, 148]}, {\"cell\": \"52\", \"bbox\": [127, 138, 137, 148]}, {\"cell\": \"13.1 (10.0 – 16.9)\", \"bbox\": [157, 138, 218, 148]}, {\"cell\": \"17\", \"bbox\": [237, 138, 247, 148]}, {\"cell\": \"8.9 (5.2 – 13.8)\", \"bbox\": [271, 138, 324, 148]}, {\"cell\": \"35\", \"bbox\": [347, 138, 357, 148]}, {\"cell\": \"17.5 (12.3 – 23.0)\", \"bbox\": [377, 138, 438, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 138, 464, 148]}, {\"cell\": \"Three helminth species\", \"bbox\": [4, 149, 84, 158]}, {\"cell\": \"18\", \"bbox\": [127, 149, 137, 158]}, {\"cell\": \"4.6 (2.7 – 7.1)\", \"bbox\": [163, 149, 212, 158]}, {\"cell\": \"4\", \"bbox\": [239, 149, 245, 158]}, {\"cell\": \"2.1 (0.6 – 5.2)\", \"bbox\": [273, 149, 322, 158]}, {\"cell\": \"14\", \"bbox\": [347, 149, 357, 158]}, {\"cell\": \"6.9 (3.8 – 11.2)\", \"bbox\": [381, 149, 434, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 149, 464, 158]}, {\"cell\": \"Four or more helminth species\", \"bbox\": [4, 159, 84, 178]}, {\"cell\": \"5\", \"bbox\": [129, 159, 135, 169]}, {\"cell\": \"1.3 (0.0 – 2.9)\", \"bbox\": [163, 159, 212, 169]}, {\"cell\": \"0\", \"bbox\": [239, 159, 245, 169]}, {\"cell\": \"-\", \"bbox\": [295, 159, 300, 169]}, {\"cell\": \"5\", \"bbox\": [349, 159, 355, 169]}, {\"cell\": \"2.5 (0.1 – 5.6)\", \"bbox\": [383, 159, 432, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 159, 464, 169]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2615757_004_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]No of bacteriaTotalp-value
0–23–9
Gender (n/%)
Male14[EMPTY_CELL]1555.62951.80.391
Female15[EMPTY_CELL]1244.42748.2
Age (years)
Age (Me/SD)9[EMPTY_CELL]8.72.08.92.20.667
Hand washing before eating (n/%)
Sometimes5[EMPTY_CELL]1348.11832.10.014
Always24[EMPTY_CELL]1451.93867.9
Hand washing after toilet use (n/%)
Never1[EMPTY_CELL]00.011.80.018
Sometimes2[EMPTY_CELL]933.31119.6
Always26[EMPTY_CELL]1866.74478.6
Livestock (n/%)
Yes25[EMPTY_CELL]2385.24885.70.563
No4[EMPTY_CELL]311.1712.5
Access to boiled water (n/%)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.0[EMPTY_CELL]
Never4[EMPTY_CELL]518.5916.10.337
Sometimes13[EMPTY_CELL]1659.32951.8
Always12[EMPTY_CELL]622.21832.1
Ditch water ingestion (n/%)
Never24[EMPTY_CELL]2592.64987.50.242
Sometimes5[EMPTY_CELL]27.4712.5
Diarrhea within past 3 months (n/%)
Yes23[EMPTY_CELL]1866.74173.20.222
No6[EMPTY_CELL]933.31526.8
Fruit and vegetable consumption (n/%)
Always8[EMPTY_CELL]00.0712.50.010
Sometimes11[EMPTY_CELL]1451.92341.1
Never10[EMPTY_CELL]1348.12646.4
Hay chewing (n/%)
Yes2[EMPTY_CELL]622.2814.30.104
No27[EMPTY_CELL]2177.84885.7
Caregiver occupation (n/%)
Agricultural25[EMPTY_CELL]1763.04275.00.067
Other4[EMPTY_CELL]933.31323.2
Presence of parasites (n/%)
Yes4[EMPTY_CELL]13.758.90.147
No18[EMPTY_CELL]2385.24173.2
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No of bacteria\", \"bbox\": [93, 4, 144, 12]}, {\"cell\": \"Total\", \"bbox\": [333, 4, 352, 12]}, {\"cell\": \"p-value\", \"bbox\": [452, 4, 480, 14]}, {\"cell\": \"0–2\", \"bbox\": [93, 20, 108, 28]}, {\"cell\": \"3–9\", \"bbox\": [213, 20, 228, 28]}, {\"cell\": \"Gender (n/%)\", \"bbox\": [0, 38, 45, 48]}, {\"cell\": \" Male\", \"bbox\": [5, 50, 23, 60]}, {\"cell\": \"14\", \"bbox\": [93, 50, 103, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 50, 168, 60]}, {\"cell\": \"15\", \"bbox\": [213, 50, 223, 60]}, {\"cell\": \"55.6\", \"bbox\": [272, 50, 287, 60]}, {\"cell\": \"29\", \"bbox\": [333, 50, 343, 60]}, {\"cell\": \"51.8\", \"bbox\": [392, 50, 407, 60]}, {\"cell\": \"0.391\", \"bbox\": [452, 50, 471, 60]}, {\"cell\": \" Female\", \"bbox\": [5, 62, 30, 72]}, {\"cell\": \"15\", \"bbox\": [93, 62, 103, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 62, 168, 72]}, {\"cell\": \"12\", \"bbox\": [213, 62, 223, 72]}, {\"cell\": \"44.4\", \"bbox\": [272, 62, 287, 72]}, {\"cell\": \"27\", \"bbox\": [333, 62, 343, 72]}, {\"cell\": \"48.2\", \"bbox\": [392, 62, 407, 72]}, {\"cell\": \"Age (years)\", \"bbox\": [1, 74, 38, 84]}, {\"cell\": \" Age (Me/SD)\", \"bbox\": [5, 86, 48, 96]}, {\"cell\": \"9\", \"bbox\": [97, 86, 103, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [156, 86, 168, 96]}, {\"cell\": \"8.7\", \"bbox\": [213, 86, 224, 96]}, {\"cell\": \"2.0\", \"bbox\": [276, 86, 287, 96]}, {\"cell\": \"8.9\", \"bbox\": [333, 86, 344, 96]}, {\"cell\": \"2.2\", \"bbox\": [396, 86, 407, 96]}, {\"cell\": \"0.667\", \"bbox\": [453, 86, 472, 96]}, {\"cell\": \"Hand washing before eating (n/%)\", \"bbox\": [1, 99, 112, 108]}, {\"cell\": \" Sometimes\", \"bbox\": [5, 111, 43, 120]}, {\"cell\": \"5\", \"bbox\": [97, 111, 103, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 111, 168, 120]}, {\"cell\": \"13\", \"bbox\": [213, 111, 223, 120]}, {\"cell\": \"48.1\", \"bbox\": [272, 111, 287, 120]}, {\"cell\": \"18\", \"bbox\": [333, 111, 343, 120]}, {\"cell\": \"32.1\", \"bbox\": [392, 111, 407, 120]}, {\"cell\": \"0.014\", \"bbox\": [453, 111, 472, 120]}, {\"cell\": \" Always\", \"bbox\": [5, 123, 30, 132]}, {\"cell\": \"24\", \"bbox\": [93, 123, 103, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 123, 168, 132]}, {\"cell\": \"14\", \"bbox\": [213, 123, 223, 132]}, {\"cell\": \"51.9\", \"bbox\": [272, 123, 287, 132]}, {\"cell\": \"38\", \"bbox\": [333, 123, 343, 132]}, {\"cell\": \"67.9\", \"bbox\": [392, 123, 407, 132]}, {\"cell\": \"Hand washing after toilet use (n/%)\", \"bbox\": [1, 135, 115, 144]}, {\"cell\": \" Never\", \"bbox\": [5, 147, 26, 156]}, {\"cell\": \"1\", \"bbox\": [97, 147, 103, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 147, 168, 156]}, {\"cell\": \"0\", \"bbox\": [213, 147, 219, 156]}, {\"cell\": \"0.0\", \"bbox\": [276, 147, 287, 156]}, {\"cell\": \"1\", \"bbox\": [333, 147, 339, 156]}, {\"cell\": \"1.8\", \"bbox\": [396, 147, 407, 156]}, {\"cell\": \"0.018\", \"bbox\": [453, 147, 472, 156]}, {\"cell\": \" Sometimes\", \"bbox\": [5, 159, 43, 169]}, {\"cell\": \"2\", \"bbox\": [97, 159, 103, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 159, 168, 169]}, {\"cell\": \"9\", \"bbox\": [213, 159, 219, 169]}, {\"cell\": \"33.3\", \"bbox\": [272, 159, 288, 169]}, {\"cell\": \"11\", \"bbox\": [333, 159, 343, 169]}, {\"cell\": \"19.6\", \"bbox\": [392, 159, 407, 169]}, {\"cell\": \" Always\", \"bbox\": [5, 171, 30, 181]}, {\"cell\": \"26\", \"bbox\": [93, 171, 103, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 171, 168, 181]}, {\"cell\": \"18\", \"bbox\": [213, 171, 223, 181]}, {\"cell\": \"66.7\", \"bbox\": [272, 171, 288, 181]}, {\"cell\": \"44\", \"bbox\": [333, 171, 343, 181]}, {\"cell\": \"78.6\", \"bbox\": [392, 171, 407, 181]}, {\"cell\": \"Livestock (n/%)\", \"bbox\": [1, 183, 51, 193]}, {\"cell\": \" Yes\", \"bbox\": [5, 195, 17, 205]}, {\"cell\": \"25\", \"bbox\": [93, 195, 103, 205]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 195, 168, 205]}, {\"cell\": \"23\", \"bbox\": [213, 195, 223, 205]}, {\"cell\": \"85.2\", \"bbox\": [272, 195, 288, 205]}, {\"cell\": \"48\", \"bbox\": [333, 195, 343, 205]}, {\"cell\": \"85.7\", \"bbox\": [392, 195, 407, 205]}, {\"cell\": \"0.563\", \"bbox\": [453, 195, 472, 205]}, {\"cell\": \" No\", \"bbox\": [5, 207, 17, 217]}, {\"cell\": \"4\", \"bbox\": [97, 207, 103, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 207, 168, 217]}, {\"cell\": \"3\", \"bbox\": [213, 207, 219, 217]}, {\"cell\": \"11.1\", \"bbox\": [272, 207, 288, 217]}, {\"cell\": \"7\", \"bbox\": [333, 207, 339, 217]}, {\"cell\": \"12.5\", \"bbox\": [392, 207, 407, 217]}, {\"cell\": \"Access to boiled water (n/%)\", \"bbox\": [1, 220, 75, 238]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.0\", \"bbox\": [396, 220, 407, 229]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Never\", \"bbox\": [5, 241, 26, 250]}, {\"cell\": \"4\", \"bbox\": [97, 241, 103, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 241, 168, 250]}, {\"cell\": \"5\", \"bbox\": [213, 241, 219, 250]}, {\"cell\": \"18.5\", \"bbox\": [272, 241, 288, 250]}, {\"cell\": \"9\", \"bbox\": [333, 241, 339, 250]}, {\"cell\": \"16.1\", \"bbox\": [392, 241, 407, 250]}, {\"cell\": \"0.337\", \"bbox\": [453, 241, 472, 250]}, {\"cell\": \" Sometimes\", \"bbox\": [5, 253, 43, 262]}, {\"cell\": \"13\", \"bbox\": [93, 253, 103, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 253, 168, 262]}, {\"cell\": \"16\", \"bbox\": [213, 253, 223, 262]}, {\"cell\": \"59.3\", \"bbox\": [272, 253, 288, 262]}, {\"cell\": \"29\", \"bbox\": [333, 253, 343, 262]}, {\"cell\": \"51.8\", \"bbox\": [392, 253, 407, 262]}, {\"cell\": \" Always\", \"bbox\": [5, 265, 30, 274]}, {\"cell\": \"12\", \"bbox\": [93, 265, 103, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 265, 168, 274]}, {\"cell\": \"6\", \"bbox\": [213, 265, 219, 274]}, {\"cell\": \"22.2\", \"bbox\": [273, 265, 288, 274]}, {\"cell\": \"18\", \"bbox\": [333, 265, 343, 274]}, {\"cell\": \"32.1\", \"bbox\": [392, 265, 407, 274]}, {\"cell\": \"Ditch water ingestion (n/%)\", \"bbox\": [1, 277, 90, 286]}, {\"cell\": \" Never\", \"bbox\": [5, 289, 26, 299]}, {\"cell\": \"24\", \"bbox\": [93, 289, 103, 299]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 289, 168, 299]}, {\"cell\": \"25\", \"bbox\": [213, 289, 223, 299]}, {\"cell\": \"92.6\", \"bbox\": [273, 289, 288, 299]}, {\"cell\": \"49\", \"bbox\": [333, 289, 343, 299]}, {\"cell\": \"87.5\", \"bbox\": [392, 289, 407, 299]}, {\"cell\": \"0.242\", \"bbox\": [453, 289, 472, 299]}, {\"cell\": \" Sometimes\", \"bbox\": [5, 301, 43, 311]}, {\"cell\": \"5\", \"bbox\": [97, 301, 103, 311]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 301, 168, 311]}, {\"cell\": \"2\", \"bbox\": [213, 301, 219, 311]}, {\"cell\": \"7.4\", \"bbox\": [276, 301, 288, 311]}, {\"cell\": \"7\", \"bbox\": [333, 301, 339, 311]}, {\"cell\": \"12.5\", \"bbox\": [392, 301, 407, 311]}, {\"cell\": \"Diarrhea within past 3 months (n/%)\", \"bbox\": [1, 313, 118, 323]}, {\"cell\": \" Yes\", \"bbox\": [5, 325, 18, 335]}, {\"cell\": \"23\", \"bbox\": [93, 325, 103, 335]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 325, 168, 335]}, {\"cell\": \"18\", \"bbox\": [213, 325, 223, 335]}, {\"cell\": \"66.7\", \"bbox\": [273, 325, 288, 335]}, {\"cell\": \"41\", \"bbox\": [333, 325, 343, 335]}, {\"cell\": \"73.2\", \"bbox\": [392, 325, 407, 335]}, {\"cell\": \"0.222\", \"bbox\": [453, 325, 472, 335]}, {\"cell\": \" No\", \"bbox\": [6, 337, 17, 347]}, {\"cell\": \"6\", \"bbox\": [97, 337, 103, 347]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 337, 168, 347]}, {\"cell\": \"9\", \"bbox\": [213, 337, 219, 347]}, {\"cell\": \"33.3\", \"bbox\": [273, 337, 288, 347]}, {\"cell\": \"15\", \"bbox\": [333, 337, 343, 347]}, {\"cell\": \"26.8\", \"bbox\": [392, 337, 407, 347]}, {\"cell\": \"Fruit and vegetable consumption (n/%)\", \"bbox\": [1, 349, 128, 359]}, {\"cell\": \" Always\", \"bbox\": [6, 362, 30, 371]}, {\"cell\": \"8\", \"bbox\": [97, 362, 103, 371]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 362, 168, 371]}, {\"cell\": \"0\", \"bbox\": [213, 362, 219, 371]}, {\"cell\": \"0.0\", \"bbox\": [276, 362, 288, 371]}, {\"cell\": \"7\", \"bbox\": [333, 362, 339, 371]}, {\"cell\": \"12.5\", \"bbox\": [392, 362, 407, 371]}, {\"cell\": \"0.010\", \"bbox\": [453, 362, 472, 371]}, {\"cell\": \" Sometimes\", \"bbox\": [6, 374, 44, 383]}, {\"cell\": \"11\", \"bbox\": [94, 374, 103, 383]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 374, 168, 383]}, {\"cell\": \"14\", \"bbox\": [213, 374, 223, 383]}, {\"cell\": \"51.9\", \"bbox\": [273, 374, 288, 383]}, {\"cell\": \"23\", \"bbox\": [333, 374, 343, 383]}, {\"cell\": \"41.1\", \"bbox\": [392, 374, 407, 383]}, {\"cell\": \" Never\", \"bbox\": [6, 386, 26, 395]}, {\"cell\": \"10\", \"bbox\": [94, 386, 103, 395]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 386, 168, 395]}, {\"cell\": \"13\", \"bbox\": [213, 386, 223, 395]}, {\"cell\": \"48.1\", \"bbox\": [273, 386, 288, 395]}, {\"cell\": \"26\", \"bbox\": [333, 386, 343, 395]}, {\"cell\": \"46.4\", \"bbox\": [392, 386, 407, 395]}, {\"cell\": \"Hay chewing (n/%)\", \"bbox\": [1, 398, 64, 407]}, {\"cell\": \" Yes\", \"bbox\": [5, 410, 18, 420]}, {\"cell\": \"2\", \"bbox\": [97, 410, 103, 420]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 410, 168, 420]}, {\"cell\": \"6\", \"bbox\": [213, 410, 219, 420]}, {\"cell\": \"22.2\", \"bbox\": [273, 410, 288, 420]}, {\"cell\": \"8\", \"bbox\": [333, 410, 339, 420]}, {\"cell\": \"14.3\", \"bbox\": [392, 410, 407, 420]}, {\"cell\": \"0.104\", \"bbox\": [453, 410, 472, 420]}, {\"cell\": \" No\", \"bbox\": [6, 422, 17, 432]}, {\"cell\": \"27\", \"bbox\": [94, 422, 103, 432]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 422, 168, 432]}, {\"cell\": \"21\", \"bbox\": [213, 422, 223, 432]}, {\"cell\": \"77.8\", \"bbox\": [273, 422, 288, 432]}, {\"cell\": \"48\", \"bbox\": [333, 422, 343, 432]}, {\"cell\": \"85.7\", \"bbox\": [392, 422, 408, 432]}, {\"cell\": \"Caregiver occupation (n/%)\", \"bbox\": [1, 434, 90, 444]}, {\"cell\": \" Agricultural\", \"bbox\": [6, 446, 44, 456]}, {\"cell\": \"25\", \"bbox\": [94, 446, 103, 456]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 446, 168, 456]}, {\"cell\": \"17\", \"bbox\": [213, 446, 223, 456]}, {\"cell\": \"63.0\", \"bbox\": [273, 446, 288, 456]}, {\"cell\": \"42\", \"bbox\": [333, 446, 343, 456]}, {\"cell\": \"75.0\", \"bbox\": [392, 446, 408, 456]}, {\"cell\": \"0.067\", \"bbox\": [453, 446, 472, 456]}, {\"cell\": \" Other\", \"bbox\": [6, 458, 26, 468]}, {\"cell\": \"4\", \"bbox\": [98, 458, 103, 468]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 458, 168, 468]}, {\"cell\": \"9\", \"bbox\": [213, 458, 219, 468]}, {\"cell\": \"33.3\", \"bbox\": [273, 458, 288, 468]}, {\"cell\": \"13\", \"bbox\": [333, 458, 343, 468]}, {\"cell\": \"23.2\", \"bbox\": [392, 458, 408, 468]}, {\"cell\": \"Presence of parasites (n/%)\", \"bbox\": [1, 470, 88, 480]}, {\"cell\": \" Yes\", \"bbox\": [5, 483, 18, 492]}, {\"cell\": \"4\", \"bbox\": [98, 483, 103, 492]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 483, 168, 492]}, {\"cell\": \"1\", \"bbox\": [213, 483, 219, 492]}, {\"cell\": \"3.7\", \"bbox\": [277, 483, 288, 492]}, {\"cell\": \"5\", \"bbox\": [333, 483, 339, 492]}, {\"cell\": \"8.9\", \"bbox\": [396, 483, 408, 492]}, {\"cell\": \"0.147\", \"bbox\": [453, 483, 472, 492]}, {\"cell\": \" No\", \"bbox\": [6, 495, 17, 504]}, {\"cell\": \"18\", \"bbox\": [94, 495, 103, 504]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 495, 168, 504]}, {\"cell\": \"23\", \"bbox\": [213, 495, 223, 504]}, {\"cell\": \"85.2\", \"bbox\": [273, 495, 288, 504]}, {\"cell\": \"41\", \"bbox\": [333, 495, 343, 504]}, {\"cell\": \"73.2\", \"bbox\": [392, 495, 408, 504]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC6043948_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Pt#SexAge (Yrs)WHO StageWAZCD4%ARV RegimenARV time to death (weeks)ALB(g/L)ALT(IU/L)HGB(g/dl)Suspected cause of death
1M[EMPTY_CELL]4-37.6%d4T/3TC/Kal0925.014.09.9Chronic gastroenteritis
2F[EMPTY_CELL]4-9.527.9%AZT/3TC/EFV2018.033.010.7TB Miliary
3F[EMPTY_CELL]4-4.340.8%d4T/3TC/EFV1430.012.07.9TB Adenopathy
4M[EMPTY_CELL]4-4.81-AZT/3TC/Kal10--9.1TB Lymph
5F[EMPTY_CELL]3-5.948.0%d4T/3TC/EFV0632.024.011.7Chronic gastroenteritis
6F[EMPTY_CELL]3-7.506.0%d4T/3TC/Kal0126.0116.07.0Chronic gastroenteritis
7F[EMPTY_CELL]4-5.4227.0%d4T/3TC/RTV0528.053.010.2TB Abdomen
8F[EMPTY_CELL]3-9.512.1%d4T/3TC/EFV02--10.1Chronic gastroenteritis
9M[EMPTY_CELL]4-5.244.0%d4T/3TC/Kal0525.045.011.7Chronic gastroenteritis
10M[EMPTY_CELL]3-1.1%AZT/3TC/EFV0539.016.09.3Chronic gastroenteritis
11M[EMPTY_CELL]3-6.951.0%d4T/3TC/EFV06--5.6Suspected PCP
12F[EMPTY_CELL]3-0.871.0%d4T/3TC/Kal0119.08.04.1Sepsis syndrome
13M[EMPTY_CELL]3-6.710.5%d4T/3TC/EFV0828.08.37.0Respiratory tract infection
\", \"cells\": [{\"cell\": \"Pt#\", \"bbox\": [5, 5, 18, 13]}, {\"cell\": \"Sex\", \"bbox\": [24, 5, 38, 13]}, {\"cell\": \"Age (Yrs)\", \"bbox\": [47, 5, 65, 20]}, {\"cell\": \"WHO Stage\", \"bbox\": [76, 5, 98, 20]}, {\"cell\": \"WAZ\", \"bbox\": [107, 5, 127, 13]}, {\"cell\": \"CD4%\", \"bbox\": [134, 5, 155, 13]}, {\"cell\": \"ARV Regimen\", \"bbox\": [162, 5, 210, 13]}, {\"cell\": \"ARV time to death (weeks)\", \"bbox\": [218, 5, 281, 20]}, {\"cell\": \"ALB(g/L)\", \"bbox\": [290, 5, 322, 13]}, {\"cell\": \"ALT(IU/L)\", \"bbox\": [328, 5, 365, 13]}, {\"cell\": \"HGB(g/dl)\", \"bbox\": [371, 5, 407, 13]}, {\"cell\": \"Suspected cause of death\", \"bbox\": [413, 5, 497, 13]}, {\"cell\": \"1\", \"bbox\": [9, 33, 14, 41]}, {\"cell\": \"M\", \"bbox\": [28, 33, 35, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [51, 33, 61, 41]}, {\"cell\": \"4\", \"bbox\": [84, 33, 90, 41]}, {\"cell\": \"-\", \"bbox\": [115, 33, 119, 41]}, {\"cell\": \"37.6%\", \"bbox\": [135, 33, 154, 41]}, {\"cell\": \"d4T/3TC/Kal\", \"bbox\": [167, 33, 206, 41]}, {\"cell\": \"09\", \"bbox\": [245, 33, 254, 41]}, {\"cell\": \"25.0\", \"bbox\": [299, 33, 313, 41]}, {\"cell\": \"14.0\", \"bbox\": [340, 33, 354, 41]}, {\"cell\": \"9.9\", \"bbox\": [384, 33, 395, 41]}, {\"cell\": \"Chronic gastroenteritis\", \"bbox\": [413, 33, 481, 41]}, {\"cell\": \"2\", \"bbox\": [9, 42, 14, 50]}, {\"cell\": \"F\", \"bbox\": [29, 42, 34, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [51, 42, 61, 50]}, {\"cell\": \"4\", \"bbox\": [84, 42, 90, 50]}, {\"cell\": \"-9.52\", \"bbox\": [109, 42, 125, 50]}, {\"cell\": \"7.9%\", \"bbox\": [137, 42, 152, 50]}, {\"cell\": \"AZT/3TC/EFV\", \"bbox\": [165, 42, 208, 50]}, {\"cell\": \"20\", \"bbox\": [245, 42, 254, 50]}, {\"cell\": \"18.0\", \"bbox\": [299, 42, 313, 50]}, {\"cell\": \"33.0\", \"bbox\": [340, 42, 354, 50]}, {\"cell\": \"10.7\", \"bbox\": [382, 42, 396, 50]}, {\"cell\": \"TB Miliary\", \"bbox\": [413, 42, 444, 50]}, {\"cell\": \"3\", \"bbox\": [9, 51, 14, 59]}, {\"cell\": \"F\", \"bbox\": [29, 51, 34, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [51, 51, 61, 59]}, {\"cell\": \"4\", \"bbox\": [84, 51, 90, 59]}, {\"cell\": \"-4.34\", \"bbox\": [109, 51, 125, 59]}, {\"cell\": \"0.8%\", \"bbox\": [137, 51, 152, 59]}, {\"cell\": \"d4T/3TC/EFV\", \"bbox\": [166, 51, 206, 59]}, {\"cell\": \"14\", \"bbox\": [245, 51, 254, 59]}, {\"cell\": \"30.0\", \"bbox\": [299, 51, 313, 59]}, {\"cell\": \"12.0\", \"bbox\": [340, 51, 354, 59]}, {\"cell\": \"7.9\", \"bbox\": [384, 51, 395, 59]}, {\"cell\": \"TB Adenopathy\", \"bbox\": [413, 51, 460, 59]}, {\"cell\": \"4\", \"bbox\": [9, 60, 14, 68]}, {\"cell\": \"M\", \"bbox\": [28, 60, 35, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [51, 60, 61, 68]}, {\"cell\": \"4\", \"bbox\": [84, 60, 90, 68]}, {\"cell\": \"-4.81\", \"bbox\": [109, 60, 125, 68]}, {\"cell\": \"-\", \"bbox\": [143, 60, 147, 68]}, {\"cell\": \"AZT/3TC/Kal\", \"bbox\": [166, 60, 207, 68]}, {\"cell\": \"10\", \"bbox\": [245, 60, 254, 68]}, {\"cell\": \"-\", \"bbox\": [304, 60, 308, 68]}, {\"cell\": \"-\", \"bbox\": [345, 60, 349, 68]}, {\"cell\": \"9.1\", \"bbox\": [384, 60, 394, 68]}, {\"cell\": \"TB Lymph\", \"bbox\": [413, 60, 444, 68]}, {\"cell\": \"5\", \"bbox\": [9, 69, 14, 77]}, {\"cell\": \"F\", \"bbox\": [29, 69, 34, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [51, 69, 61, 77]}, {\"cell\": \"3\", \"bbox\": [84, 69, 90, 77]}, {\"cell\": \"-5.94\", \"bbox\": [109, 69, 125, 77]}, {\"cell\": \"8.0%\", \"bbox\": [137, 69, 152, 77]}, {\"cell\": \"d4T/3TC/EFV\", \"bbox\": [166, 69, 207, 77]}, {\"cell\": \"06\", \"bbox\": [245, 69, 255, 77]}, {\"cell\": \"32.0\", \"bbox\": [299, 69, 313, 77]}, {\"cell\": \"24.0\", \"bbox\": [340, 69, 354, 77]}, {\"cell\": \"11.7\", \"bbox\": [382, 69, 396, 77]}, {\"cell\": \"Chronic gastroenteritis\", \"bbox\": [413, 69, 481, 77]}, {\"cell\": \"6\", \"bbox\": [9, 78, 14, 86]}, {\"cell\": \"F\", \"bbox\": [29, 78, 34, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [51, 78, 61, 86]}, {\"cell\": \"3\", \"bbox\": [84, 78, 90, 86]}, {\"cell\": \"-7.50\", \"bbox\": [109, 78, 125, 86]}, {\"cell\": \"6.0%\", \"bbox\": [137, 78, 152, 86]}, {\"cell\": \"d4T/3TC/Kal\", \"bbox\": [167, 78, 206, 86]}, {\"cell\": \"01\", \"bbox\": [245, 78, 255, 86]}, {\"cell\": \"26.0\", \"bbox\": [299, 78, 313, 86]}, {\"cell\": \"116.0\", \"bbox\": [338, 78, 356, 86]}, {\"cell\": \"7.0\", \"bbox\": [384, 78, 395, 86]}, {\"cell\": \"Chronic gastroenteritis\", \"bbox\": [413, 78, 481, 86]}, {\"cell\": \"7\", \"bbox\": [9, 87, 14, 95]}, {\"cell\": \"F\", \"bbox\": [29, 87, 34, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [51, 87, 61, 95]}, {\"cell\": \"4\", \"bbox\": [84, 87, 90, 95]}, {\"cell\": \"-5.42\", \"bbox\": [109, 87, 125, 95]}, {\"cell\": \"27.0%\", \"bbox\": [135, 87, 154, 95]}, {\"cell\": \"d4T/3TC/RTV\", \"bbox\": [165, 87, 207, 95]}, {\"cell\": \"05\", \"bbox\": [245, 87, 254, 95]}, {\"cell\": \"28.0\", \"bbox\": [299, 87, 313, 95]}, {\"cell\": \"53.0\", \"bbox\": [340, 87, 354, 95]}, {\"cell\": \"10.2\", \"bbox\": [382, 87, 396, 95]}, {\"cell\": \"TB Abdomen\", \"bbox\": [413, 87, 453, 95]}, {\"cell\": \"8\", \"bbox\": [9, 96, 14, 104]}, {\"cell\": \"F\", \"bbox\": [29, 96, 34, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [49, 96, 63, 104]}, {\"cell\": \"3\", \"bbox\": [84, 96, 90, 104]}, {\"cell\": \"-9.51\", \"bbox\": [109, 96, 125, 104]}, {\"cell\": \"2.1%\", \"bbox\": [137, 96, 152, 104]}, {\"cell\": \"d4T/3TC/EFV\", \"bbox\": [166, 96, 207, 104]}, {\"cell\": \"02\", \"bbox\": [245, 96, 255, 104]}, {\"cell\": \"-\", \"bbox\": [304, 96, 308, 104]}, {\"cell\": \"-\", \"bbox\": [345, 96, 349, 104]}, {\"cell\": \"10.1\", \"bbox\": [382, 96, 396, 104]}, {\"cell\": \"Chronic gastroenteritis\", \"bbox\": [413, 96, 481, 104]}, {\"cell\": \"9\", \"bbox\": [9, 105, 14, 113]}, {\"cell\": \"M\", \"bbox\": [28, 105, 35, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [51, 105, 61, 113]}, {\"cell\": \"4\", \"bbox\": [84, 105, 90, 113]}, {\"cell\": \"-5.24\", \"bbox\": [109, 105, 125, 113]}, {\"cell\": \"4.0%\", \"bbox\": [137, 105, 152, 113]}, {\"cell\": \"d4T/3TC/Kal\", \"bbox\": [167, 105, 206, 113]}, {\"cell\": \"05\", \"bbox\": [246, 105, 255, 113]}, {\"cell\": \"25.0\", \"bbox\": [299, 105, 313, 113]}, {\"cell\": \"45.0\", \"bbox\": [340, 105, 354, 113]}, {\"cell\": \"11.7\", \"bbox\": [382, 105, 396, 113]}, {\"cell\": \"Chronic gastroenteritis\", \"bbox\": [413, 105, 481, 113]}, {\"cell\": \"10\", \"bbox\": [7, 114, 16, 122]}, {\"cell\": \"M\", \"bbox\": [28, 114, 35, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [51, 114, 61, 122]}, {\"cell\": \"3\", \"bbox\": [84, 114, 90, 122]}, {\"cell\": \"-\", \"bbox\": [115, 114, 119, 122]}, {\"cell\": \"1.1%\", \"bbox\": [137, 114, 152, 122]}, {\"cell\": \"AZT/3TC/EFV\", \"bbox\": [165, 114, 208, 122]}, {\"cell\": \"05\", \"bbox\": [245, 114, 254, 122]}, {\"cell\": \"39.0\", \"bbox\": [299, 114, 313, 122]}, {\"cell\": \"16.0\", \"bbox\": [340, 114, 354, 122]}, {\"cell\": \"9.3\", \"bbox\": [384, 114, 395, 122]}, {\"cell\": \"Chronic gastroenteritis\", \"bbox\": [413, 114, 481, 122]}, {\"cell\": \"11\", \"bbox\": [7, 123, 16, 131]}, {\"cell\": \"M\", \"bbox\": [28, 123, 35, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [49, 123, 63, 131]}, {\"cell\": \"3\", \"bbox\": [84, 123, 90, 131]}, {\"cell\": \"-6.95\", \"bbox\": [109, 123, 125, 131]}, {\"cell\": \"1.0%\", \"bbox\": [137, 123, 152, 131]}, {\"cell\": \"d4T/3TC/EFV\", \"bbox\": [166, 123, 206, 131]}, {\"cell\": \"06\", \"bbox\": [245, 123, 254, 131]}, {\"cell\": \"-\", \"bbox\": [304, 123, 308, 131]}, {\"cell\": \"-\", \"bbox\": [345, 123, 349, 131]}, {\"cell\": \"5.6\", \"bbox\": [384, 123, 395, 131]}, {\"cell\": \"Suspected PCP\", \"bbox\": [413, 123, 458, 131]}, {\"cell\": \"12\", \"bbox\": [7, 132, 16, 140]}, {\"cell\": \"F\", \"bbox\": [29, 132, 34, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [51, 132, 61, 140]}, {\"cell\": \"3\", \"bbox\": [84, 132, 90, 140]}, {\"cell\": \"-0.87\", \"bbox\": [109, 132, 125, 140]}, {\"cell\": \"1.0%\", \"bbox\": [137, 132, 152, 140]}, {\"cell\": \"d4T/3TC/Kal\", \"bbox\": [167, 132, 206, 140]}, {\"cell\": \"01\", \"bbox\": [245, 132, 254, 140]}, {\"cell\": \"19.0\", \"bbox\": [299, 132, 313, 140]}, {\"cell\": \"8.0\", \"bbox\": [342, 132, 352, 140]}, {\"cell\": \"4.1\", \"bbox\": [384, 132, 395, 140]}, {\"cell\": \"Sepsis syndrome\", \"bbox\": [413, 132, 462, 140]}, {\"cell\": \"13\", \"bbox\": [7, 141, 16, 149]}, {\"cell\": \"M\", \"bbox\": [28, 141, 35, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [51, 141, 61, 149]}, {\"cell\": \"3\", \"bbox\": [84, 141, 90, 149]}, {\"cell\": \"-6.71\", \"bbox\": [109, 141, 125, 149]}, {\"cell\": \"0.5%\", \"bbox\": [137, 141, 152, 149]}, {\"cell\": \"d4T/3TC/EFV\", \"bbox\": [166, 141, 206, 149]}, {\"cell\": \"08\", \"bbox\": [245, 141, 254, 149]}, {\"cell\": \"28.0\", \"bbox\": [299, 141, 313, 149]}, {\"cell\": \"8.3\", \"bbox\": [342, 141, 352, 149]}, {\"cell\": \"7.0\", \"bbox\": [384, 141, 395, 149]}, {\"cell\": \"Respiratory tract infection\", \"bbox\": [413, 141, 490, 149]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC1847430_010_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Model 0Model 1Model 2Model 3Model 4Model 5
Fixed effect[EMPTY_CELL]
Intercept[EMPTY_CELL]3.77 (1.14)***3.94 (1.38)**1.87 (1.05).−13.29 (5.35)*−16.28 (5.60)**
Level–1 : Sampling[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Daily wind speed (7 previous days mean)[EMPTY_CELL]−0.33 (0.01)*[EMPTY_CELL][EMPTY_CELL]−0.30 (0.15)*[EMPTY_CELL]
Daily relative humidity (sampling day)[EMPTY_CELL][EMPTY_CELL]−0.02 (0.01).[EMPTY_CELL]−0.02 (0.01).−0.02 (0.01).
Daily maximum temperature (sampling day)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.03 (0.02).[EMPTY_CELL][EMPTY_CELL]
Level–2 : Site[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
Euclidean mean nearest-neighbour distance (ra = 500 m)[EMPTY_CELL]−0.02 (0.01)***−0.02 (0.00)***−0.02 (0.01)*−0.03 (0.01)***−0.03 (0.01) **
Area-weighted mean forest shape index (r = 1500 m)[EMPTY_CELL]1.01 (0.21)***1.10 (0.23)***1.06 (0.22)*[EMPTY_CELL][EMPTY_CELL]
Area-weighted mean patch fractal dimension (r = 1500 m)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]18.63 (4.32)***20.50 (4.65).
Random effect[EMPTY_CELL]
Intercept[EMPTY_CELL]1.32 (0.10)2.00 (0.13)1.73 (0.12)1.62 (0.11)2.17 (0.13)
AIC[EMPTY_CELL]1391.811393.491393.921394.681396.54
ΔAIC[EMPTY_CELL]41.4439.7639.3338.5636.71
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Model 0\", \"bbox\": [191, 4, 222, 12]}, {\"cell\": \"Model 1\", \"bbox\": [238, 4, 268, 12]}, {\"cell\": \"Model 2\", \"bbox\": [289, 4, 319, 12]}, {\"cell\": \"Model 3\", \"bbox\": [340, 4, 370, 12]}, {\"cell\": \"Model 4\", \"bbox\": [385, 4, 415, 12]}, {\"cell\": \"Model 5\", \"bbox\": [436, 4, 466, 12]}, {\"cell\": \"Fixed effect\", \"bbox\": [1, 17, 43, 25]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 17, 263, 27]}, {\"cell\": \"Intercept\", \"bbox\": [1, 31, 31, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 31, 235, 41]}, {\"cell\": \"3.77 (1.14)***\", \"bbox\": [238, 31, 281, 41]}, {\"cell\": \"3.94 (1.38)**\", \"bbox\": [289, 31, 329, 41]}, {\"cell\": \"1.87 (1.05).\", \"bbox\": [340, 31, 375, 41]}, {\"cell\": \"−13.29 (5.35)*\", \"bbox\": [385, 31, 430, 41]}, {\"cell\": \"−16.28 (5.60)**\", \"bbox\": [436, 31, 484, 41]}, {\"cell\": \"Level–1 : Sampling\", \"bbox\": [1, 45, 63, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Daily wind speed (7 previous days mean)\", \"bbox\": [1, 59, 135, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−0.33 (0.01)*\", \"bbox\": [238, 59, 280, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−0.30 (0.15)*\", \"bbox\": [385, 59, 426, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Daily relative humidity (sampling day)\", \"bbox\": [1, 73, 124, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−0.02 (0.01).\", \"bbox\": [289, 73, 329, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−0.02 (0.01).\", \"bbox\": [385, 73, 425, 83]}, {\"cell\": \"−0.02 (0.01).\", \"bbox\": [436, 73, 476, 83]}, {\"cell\": \"Daily maximum temperature (sampling day)\", \"bbox\": [1, 87, 144, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.03 (0.02).\", \"bbox\": [340, 87, 375, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Level–2 : Site\", \"bbox\": [1, 101, 44, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Euclidean mean nearest-neighbour distance (ra = 500 m)\", \"bbox\": [1, 113, 183, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−0.02 (0.01)***\", \"bbox\": [238, 115, 286, 125]}, {\"cell\": \"−0.02 (0.00)***\", \"bbox\": [289, 115, 337, 125]}, {\"cell\": \"−0.02 (0.01)*\", \"bbox\": [340, 115, 382, 125]}, {\"cell\": \"−0.03 (0.01)***\", \"bbox\": [385, 115, 433, 125]}, {\"cell\": \"−0.03 (0.01) **\", \"bbox\": [436, 115, 483, 125]}, {\"cell\": \"Area-weighted mean forest shape index (r = 1500 m)\", \"bbox\": [1, 129, 172, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.01 (0.21)***\", \"bbox\": [238, 129, 281, 139]}, {\"cell\": \"1.10 (0.23)***\", \"bbox\": [289, 129, 332, 139]}, {\"cell\": \"1.06 (0.22)*\", \"bbox\": [340, 129, 377, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Area-weighted mean patch fractal dimension (r = 1500 m)\", \"bbox\": [1, 143, 188, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"18.63 (4.32)***\", \"bbox\": [385, 143, 432, 153]}, {\"cell\": \"20.50 (4.65).\", \"bbox\": [436, 143, 475, 153]}, {\"cell\": \"Random effect\", \"bbox\": [1, 157, 53, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 157, 256, 167]}, {\"cell\": \"Intercept\", \"bbox\": [1, 171, 31, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 171, 225, 181]}, {\"cell\": \"1.32 (0.10)\", \"bbox\": [238, 171, 272, 181]}, {\"cell\": \"2.00 (0.13)\", \"bbox\": [289, 171, 323, 181]}, {\"cell\": \"1.73 (0.12)\", \"bbox\": [340, 171, 374, 181]}, {\"cell\": \"1.62 (0.11)\", \"bbox\": [385, 171, 419, 181]}, {\"cell\": \"2.17 (0.13)\", \"bbox\": [436, 171, 470, 181]}, {\"cell\": \"AIC\", \"bbox\": [1, 185, 14, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 185, 218, 195]}, {\"cell\": \"1391.81\", \"bbox\": [238, 185, 264, 195]}, {\"cell\": \"1393.49\", \"bbox\": [289, 185, 315, 195]}, {\"cell\": \"1393.92\", \"bbox\": [340, 185, 366, 195]}, {\"cell\": \"1394.68\", \"bbox\": [385, 185, 411, 195]}, {\"cell\": \"1396.54\", \"bbox\": [436, 185, 462, 195]}, {\"cell\": \"ΔAIC\", \"bbox\": [1, 199, 19, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 199, 197, 209]}, {\"cell\": \"41.44\", \"bbox\": [238, 199, 256, 209]}, {\"cell\": \"39.76\", \"bbox\": [289, 199, 307, 209]}, {\"cell\": \"39.33\", \"bbox\": [340, 199, 358, 209]}, {\"cell\": \"38.56\", \"bbox\": [385, 199, 403, 209]}, {\"cell\": \"36.71\", \"bbox\": [436, 199, 454, 209]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3419667_007_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
VariablesDescriptionCaseControl
N = 185(%)N = 185(%)
Main material of the room’s wallMud[EMPTY_CELL]180(98)
Wood plunk2(1)[EMPTY_CELL]
Main material of room’s windowMetallic[EMPTY_CELL]11(6)
Wooden120(65)[EMPTY_CELL]
No window55(30)[EMPTY_CELL]
Main material of the room’s floorCement[EMPTY_CELL]2(1)
Earth46(25)[EMPTY_CELL]
Local dung138(75)[EMPTY_CELL]
Sleeping sitesBed with mattress[EMPTY_CELL]67(36)
Bed without mattress136 (74)[EMPTY_CELL]
Floor6 (3)[EMPTY_CELL]
Household bed net possessionYes[EMPTY_CELL]161(87)
No33(18)[EMPTY_CELL]
Indoor residual sprayingYes[EMPTY_CELL]47(26)
No132(72)[EMPTY_CELL]
Bed net utilizationYes[EMPTY_CELL]153(95)
No17(11)[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Variables\", \"bbox\": [1, 4, 30, 13]}, {\"cell\": \"Description\", \"bbox\": [186, 4, 224, 13]}, {\"cell\": \"Case\", \"bbox\": [334, 4, 351, 13]}, {\"cell\": \"Control\", \"bbox\": [448, 4, 474, 13]}, {\"cell\": \"N = 185(%)\", \"bbox\": [334, 17, 371, 27]}, {\"cell\": \"N = 185(%)\", \"bbox\": [448, 17, 484, 27]}, {\"cell\": \"Main material of the room’s wall\", \"bbox\": [1, 30, 107, 40]}, {\"cell\": \"Mud\", \"bbox\": [186, 30, 203, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [334, 30, 360, 40]}, {\"cell\": \"180(98)\", \"bbox\": [448, 30, 474, 40]}, {\"cell\": \"Wood plunk\", \"bbox\": [186, 44, 228, 54]}, {\"cell\": \"2(1)\", \"bbox\": [334, 44, 348, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 44, 462, 54]}, {\"cell\": \"Main material of room’s window\", \"bbox\": [1, 58, 107, 68]}, {\"cell\": \"Metallic\", \"bbox\": [186, 58, 213, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [334, 58, 348, 68]}, {\"cell\": \"11(6)\", \"bbox\": [448, 58, 466, 68]}, {\"cell\": \"Wooden\", \"bbox\": [186, 72, 216, 82]}, {\"cell\": \"120(65)\", \"bbox\": [334, 72, 360, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 72, 474, 82]}, {\"cell\": \"No window\", \"bbox\": [186, 86, 226, 96]}, {\"cell\": \"55(30)\", \"bbox\": [334, 86, 356, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 86, 470, 96]}, {\"cell\": \"Main material of the room’s floor\", \"bbox\": [1, 100, 108, 110]}, {\"cell\": \"Cement\", \"bbox\": [186, 100, 213, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [334, 100, 348, 110]}, {\"cell\": \"2(1)\", \"bbox\": [448, 100, 462, 110]}, {\"cell\": \"Earth\", \"bbox\": [186, 114, 204, 124]}, {\"cell\": \"46(25)\", \"bbox\": [334, 114, 356, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 114, 470, 124]}, {\"cell\": \"Local dung\", \"bbox\": [186, 128, 224, 138]}, {\"cell\": \"138(75)\", \"bbox\": [334, 128, 360, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 128, 474, 138]}, {\"cell\": \"Sleeping sites\", \"bbox\": [1, 142, 46, 152]}, {\"cell\": \"Bed with mattress\", \"bbox\": [186, 142, 246, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [334, 142, 358, 152]}, {\"cell\": \"67(36)\", \"bbox\": [448, 142, 470, 152]}, {\"cell\": \"Bed without mattress\", \"bbox\": [186, 156, 257, 166]}, {\"cell\": \"136 (74)\", \"bbox\": [334, 156, 362, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 156, 474, 166]}, {\"cell\": \"Floor\", \"bbox\": [186, 170, 204, 180]}, {\"cell\": \"6 (3)\", \"bbox\": [334, 170, 351, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 170, 462, 180]}, {\"cell\": \"Household bed net possession\", \"bbox\": [1, 184, 101, 194]}, {\"cell\": \"Yes\", \"bbox\": [186, 184, 199, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [334, 184, 360, 194]}, {\"cell\": \"161(87)\", \"bbox\": [448, 184, 474, 194]}, {\"cell\": \"No\", \"bbox\": [186, 198, 197, 208]}, {\"cell\": \"33(18)\", \"bbox\": [334, 198, 356, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 198, 470, 208]}, {\"cell\": \"Indoor residual spraying\", \"bbox\": [1, 212, 80, 222]}, {\"cell\": \"Yes\", \"bbox\": [186, 212, 199, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [334, 212, 356, 222]}, {\"cell\": \"47(26)\", \"bbox\": [448, 212, 470, 222]}, {\"cell\": \"No\", \"bbox\": [186, 226, 197, 236]}, {\"cell\": \"132(72)\", \"bbox\": [334, 226, 360, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 226, 474, 236]}, {\"cell\": \"Bed net utilization\", \"bbox\": [1, 240, 61, 250]}, {\"cell\": \"Yes\", \"bbox\": [186, 240, 199, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [334, 240, 360, 250]}, {\"cell\": \"153(95)\", \"bbox\": [448, 240, 474, 250]}, {\"cell\": \"No\", \"bbox\": [186, 254, 197, 264]}, {\"cell\": \"17(11)\", \"bbox\": [334, 254, 356, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 254, 462, 264]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5896134_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Procedure typeNot at AllOccasionallyRoutinelyTotal
“very common” procedures
Non-implant restorative2% (49)2% (41)[EMPTY_CELL]100% (2323)
Esthetic procedures5% (109)36% (835)[EMPTY_CELL]100% (2328)
Extractions5% (119)31% (726)[EMPTY_CELL]100% (2318)
Removable prosthetics6% (130)38% (876)[EMPTY_CELL]100% (2322)
Endodontic therapy – anteriors/premolars16% (376)26% (605)[EMPTY_CELL]100% (2320)
“common” procedures
Endodontic therapy – molars38% (883)26% (603)[EMPTY_CELL]100% (2317)
Implants39% (889)39% (902)[EMPTY_CELL]100% (2305)
Periodontal therapy – non-surgical40% (917)37% (859)[EMPTY_CELL]100% (2317)
“uncommon” procedures
Orthodontic treatment68% (1565)23% (532)[EMPTY_CELL]100% (2314)
Periodontal therapy - surgical69% (1578)26% (601)[EMPTY_CELL]100% (2306)
\", \"cells\": [{\"cell\": \"Procedure type\", \"bbox\": [1, 4, 56, 13]}, {\"cell\": \"Not at All\", \"bbox\": [183, 4, 219, 13]}, {\"cell\": \"Occasionally\", \"bbox\": [267, 4, 312, 13]}, {\"cell\": \"Routinely\", \"bbox\": [359, 4, 394, 13]}, {\"cell\": \"Total\", \"bbox\": [443, 4, 463, 13]}, {\"cell\": \"“very common” procedures\", \"bbox\": [1, 17, 90, 27]}, {\"cell\": \"Non-implant restorative\", \"bbox\": [1, 31, 78, 41]}, {\"cell\": \"2% (49)\", \"bbox\": [183, 31, 209, 41]}, {\"cell\": \"2% (41)\", \"bbox\": [267, 31, 293, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [359, 31, 397, 41]}, {\"cell\": \"100% (2323)\", \"bbox\": [443, 31, 484, 41]}, {\"cell\": \"Esthetic procedures\", \"bbox\": [1, 45, 65, 55]}, {\"cell\": \"5% (109)\", \"bbox\": [183, 45, 213, 55]}, {\"cell\": \"36% (835)\", \"bbox\": [267, 45, 301, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [359, 45, 397, 55]}, {\"cell\": \"100% (2328)\", \"bbox\": [443, 45, 484, 55]}, {\"cell\": \"Extractions\", \"bbox\": [1, 59, 37, 69]}, {\"cell\": \"5% (119)\", \"bbox\": [183, 59, 213, 69]}, {\"cell\": \"31% (726)\", \"bbox\": [267, 59, 301, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [359, 59, 397, 69]}, {\"cell\": \"100% (2318)\", \"bbox\": [443, 59, 484, 69]}, {\"cell\": \"Removable prosthetics\", \"bbox\": [1, 73, 75, 83]}, {\"cell\": \"6% (130)\", \"bbox\": [183, 73, 213, 83]}, {\"cell\": \"38% (876)\", \"bbox\": [267, 73, 301, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [359, 73, 397, 83]}, {\"cell\": \"100% (2322)\", \"bbox\": [443, 73, 484, 83]}, {\"cell\": \"Endodontic therapy – anteriors/premolars\", \"bbox\": [1, 87, 137, 97]}, {\"cell\": \"16% (376)\", \"bbox\": [183, 87, 217, 97]}, {\"cell\": \"26% (605)\", \"bbox\": [267, 87, 301, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [359, 87, 397, 97]}, {\"cell\": \"100% (2320)\", \"bbox\": [443, 87, 484, 97]}, {\"cell\": \"“common” procedures\", \"bbox\": [1, 101, 74, 111]}, {\"cell\": \"Endodontic therapy – molars\", \"bbox\": [1, 115, 96, 125]}, {\"cell\": \"38% (883)\", \"bbox\": [183, 115, 217, 125]}, {\"cell\": \"26% (603)\", \"bbox\": [267, 115, 301, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [359, 115, 393, 125]}, {\"cell\": \"100% (2317)\", \"bbox\": [443, 115, 484, 125]}, {\"cell\": \"Implants\", \"bbox\": [1, 129, 30, 139]}, {\"cell\": \"39% (889)\", \"bbox\": [183, 129, 217, 139]}, {\"cell\": \"39% (902)\", \"bbox\": [267, 129, 301, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [359, 129, 393, 139]}, {\"cell\": \"100% (2305)\", \"bbox\": [443, 129, 484, 139]}, {\"cell\": \"Periodontal therapy – non-surgical\", \"bbox\": [1, 143, 114, 153]}, {\"cell\": \"40% (917)\", \"bbox\": [183, 143, 217, 153]}, {\"cell\": \"37% (859)\", \"bbox\": [267, 143, 301, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [359, 143, 393, 153]}, {\"cell\": \"100% (2317)\", \"bbox\": [443, 143, 484, 153]}, {\"cell\": \"“uncommon” procedures\", \"bbox\": [1, 157, 83, 167]}, {\"cell\": \"Orthodontic treatment\", \"bbox\": [1, 171, 75, 181]}, {\"cell\": \"68% (1565)\", \"bbox\": [183, 171, 221, 181]}, {\"cell\": \"23% (532)\", \"bbox\": [267, 171, 301, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [359, 171, 389, 181]}, {\"cell\": \"100% (2314)\", \"bbox\": [443, 171, 484, 181]}, {\"cell\": \"Periodontal therapy - surgical\", \"bbox\": [1, 185, 97, 195]}, {\"cell\": \"69% (1578)\", \"bbox\": [183, 185, 221, 195]}, {\"cell\": \"26% (601)\", \"bbox\": [267, 185, 301, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [359, 185, 389, 195]}, {\"cell\": \"100% (2306)\", \"bbox\": [443, 185, 484, 195]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4324862_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Synaptotagmin, 215–223Synaptotagmin, 238–245
Sample set I, control (N = 17)
Age[EMPTY_CELL]N.S.
MMSE[EMPTY_CELL]N.S.
Amyloid-β1–42 (ng/L)[EMPTY_CELL]N.S.
Total tau (ng/L)[EMPTY_CELL]rho = 0.749, P = 0.001
Phosphorylated tau (ng/L)[EMPTY_CELL]rho = 0.708, P = 0.001
Synaptotagmin, 215–223[EMPTY_CELL]rho = 0.971, P < 0.00001
Synaptotagmin, 238–245[EMPTY_CELL]–
Alzheimer’s disease dementia (N = 17)
Age[EMPTY_CELL]N.S.
MMSE[EMPTY_CELL]N.S.
Amyloid-β1–42 (ng/L)[EMPTY_CELL]N.S.
Total tau (ng/L)[EMPTY_CELL]rho = 0.610, P = 0.009
Phosphorylated tau (ng/L)[EMPTY_CELL]rho = 0.656, P = 0.004
Synaptotagmin, 215–223[EMPTY_CELL]rho = 0.980, P < 0.00001
Synaptotagmin, 238–245[EMPTY_CELL]–
Sample set II, control (N = 36)
Age[EMPTY_CELL]N.S.
MMSE[EMPTY_CELL]N.S.
Amyloid-β1–42 (ng/L)[EMPTY_CELL]rho = 0.348, P = 0.04
Total tau (ng/L)[EMPTY_CELL]rho = 0.633, P = 0.00004
Phosphorylated tau (ng/L)[EMPTY_CELL]rho = 0.683, P < 0.00001
Synaptotagmin, 215–223[EMPTY_CELL]rho = 0.995, P < 0.00001
Synaptotagmin, 238–245[EMPTY_CELL]–
MCI-AD (N = 18)
Age[EMPTY_CELL]N.S.
MMSE[EMPTY_CELL]N.S.
Amyloid-β1–42 (ng/L)[EMPTY_CELL]N.S.
Total tau (ng/L)[EMPTY_CELL]N.S.
Phosphorylated tau (ng/L)[EMPTY_CELL]N.S.
Synaptotagmin, 215–223[EMPTY_CELL]rho = 0.988, P < 0.00001
Synaptotagmin, 238–245[EMPTY_CELL]–
Alzheimer’s disease dementia (N = 24)
Age[EMPTY_CELL]N.S.
MMSE[EMPTY_CELL]N.S.
Amyloid-β1–42 (ng/L)[EMPTY_CELL]N.S.
Total tau (ng/L)[EMPTY_CELL]rho = 0.675, P = 0.0003
Phosphorylated tau (ng/L)[EMPTY_CELL]rho = 0.673, P = 0.0003
Synaptotagmin, 215–223[EMPTY_CELL]rho = 0.995, P < 0.00001
Synaptotagmin, 238–245[EMPTY_CELL]–
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Synaptotagmin, 215–223\", \"bbox\": [208, 4, 289, 13]}, {\"cell\": \"Synaptotagmin, 238–245\", \"bbox\": [403, 4, 484, 13]}, {\"cell\": \"Sample set I, control (N = 17)\", \"bbox\": [1, 17, 95, 27]}, {\"cell\": \" Age\", \"bbox\": [8, 31, 23, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 31, 221, 41]}, {\"cell\": \"N.S.\", \"bbox\": [403, 31, 417, 41]}, {\"cell\": \" MMSE\", \"bbox\": [8, 45, 30, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 45, 221, 55]}, {\"cell\": \"N.S.\", \"bbox\": [403, 45, 417, 55]}, {\"cell\": \" Amyloid-β1–42 (ng/L)\", \"bbox\": [8, 59, 77, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 59, 274, 69]}, {\"cell\": \"N.S.\", \"bbox\": [403, 59, 417, 69]}, {\"cell\": \" Total tau (ng/L)\", \"bbox\": [8, 73, 60, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 73, 277, 83]}, {\"cell\": \"rho = 0.749, P = 0.001\", \"bbox\": [403, 73, 472, 83]}, {\"cell\": \" Phosphorylated tau (ng/L)\", \"bbox\": [8, 87, 94, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 87, 276, 97]}, {\"cell\": \"rho = 0.708, P = 0.001\", \"bbox\": [403, 87, 472, 97]}, {\"cell\": \" Synaptotagmin, 215–223\", \"bbox\": [8, 101, 90, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 101, 214, 109]}, {\"cell\": \"rho = 0.971, P < 0.00001\", \"bbox\": [403, 101, 480, 111]}, {\"cell\": \" Synaptotagmin, 238–245\", \"bbox\": [8, 115, 90, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 115, 285, 125]}, {\"cell\": \"–\", \"bbox\": [403, 115, 409, 123]}, {\"cell\": \"Alzheimer’s disease dementia (N = 17)\", \"bbox\": [0, 129, 124, 139]}, {\"cell\": \" Age\", \"bbox\": [8, 143, 23, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 143, 221, 153]}, {\"cell\": \"N.S.\", \"bbox\": [403, 143, 417, 153]}, {\"cell\": \" MMSE\", \"bbox\": [8, 157, 30, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 157, 221, 167]}, {\"cell\": \"N.S.\", \"bbox\": [403, 157, 417, 167]}, {\"cell\": \" Amyloid-β1–42 (ng/L)\", \"bbox\": [8, 171, 77, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 171, 221, 181]}, {\"cell\": \"N.S.\", \"bbox\": [403, 171, 417, 181]}, {\"cell\": \" Total tau (ng/L)\", \"bbox\": [8, 185, 60, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 185, 274, 195]}, {\"cell\": \"rho = 0.610, P = 0.009\", \"bbox\": [403, 185, 472, 195]}, {\"cell\": \" Phosphorylated tau (ng/L)\", \"bbox\": [8, 199, 94, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 199, 274, 209]}, {\"cell\": \"rho = 0.656, P = 0.004\", \"bbox\": [403, 199, 472, 209]}, {\"cell\": \" Synaptotagmin, 215–223\", \"bbox\": [8, 213, 90, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 213, 214, 221]}, {\"cell\": \"rho = 0.980, P < 0.00001\", \"bbox\": [403, 213, 480, 223]}, {\"cell\": \" Synaptotagmin, 238–245\", \"bbox\": [8, 227, 90, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 227, 285, 237]}, {\"cell\": \"–\", \"bbox\": [403, 227, 409, 235]}, {\"cell\": \"Sample set II, control (N = 36)\", \"bbox\": [1, 241, 97, 251]}, {\"cell\": \" Age\", \"bbox\": [8, 255, 23, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 255, 221, 265]}, {\"cell\": \"N.S.\", \"bbox\": [403, 255, 417, 265]}, {\"cell\": \" MMSE\", \"bbox\": [8, 269, 30, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 269, 221, 279]}, {\"cell\": \"N.S.\", \"bbox\": [403, 269, 417, 279]}, {\"cell\": \" Amyloid-β1–42 (ng/L)\", \"bbox\": [8, 283, 77, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 283, 274, 293]}, {\"cell\": \"rho = 0.348, P = 0.04\", \"bbox\": [403, 283, 469, 293]}, {\"cell\": \" Total tau (ng/L)\", \"bbox\": [8, 297, 60, 307]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 297, 285, 307]}, {\"cell\": \"rho = 0.633, P = 0.00004\", \"bbox\": [403, 297, 480, 307]}, {\"cell\": \" Phosphorylated tau (ng/L)\", \"bbox\": [8, 311, 94, 321]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 311, 285, 321]}, {\"cell\": \"rho = 0.683, P < 0.00001\", \"bbox\": [403, 311, 480, 321]}, {\"cell\": \" Synaptotagmin, 215–223\", \"bbox\": [8, 325, 90, 335]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 325, 214, 333]}, {\"cell\": \"rho = 0.995, P < 0.00001\", \"bbox\": [403, 325, 480, 335]}, {\"cell\": \" Synaptotagmin, 238–245\", \"bbox\": [8, 339, 90, 349]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 339, 285, 349]}, {\"cell\": \"–\", \"bbox\": [403, 339, 409, 347]}, {\"cell\": \"MCI-AD (N = 18)\", \"bbox\": [1, 353, 54, 363]}, {\"cell\": \" Age\", \"bbox\": [8, 367, 23, 377]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 367, 221, 377]}, {\"cell\": \"N.S.\", \"bbox\": [403, 367, 417, 377]}, {\"cell\": \" MMSE\", \"bbox\": [8, 381, 30, 391]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 381, 221, 391]}, {\"cell\": \"N.S.\", \"bbox\": [403, 381, 417, 391]}, {\"cell\": \" Amyloid-β1–42 (ng/L)\", \"bbox\": [8, 395, 77, 405]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 395, 221, 405]}, {\"cell\": \"N.S.\", \"bbox\": [403, 395, 417, 405]}, {\"cell\": \" Total tau (ng/L)\", \"bbox\": [8, 409, 60, 419]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 409, 221, 419]}, {\"cell\": \"N.S.\", \"bbox\": [403, 409, 417, 419]}, {\"cell\": \" Phosphorylated tau (ng/L)\", \"bbox\": [8, 423, 94, 433]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 423, 221, 433]}, {\"cell\": \"N.S.\", \"bbox\": [403, 423, 417, 433]}, {\"cell\": \" Synaptotagmin, 215–223\", \"bbox\": [8, 437, 90, 447]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 437, 214, 445]}, {\"cell\": \"rho = 0.988, P < 0.00001\", \"bbox\": [403, 437, 480, 447]}, {\"cell\": \" Synaptotagmin, 238–245\", \"bbox\": [8, 451, 90, 461]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 451, 285, 461]}, {\"cell\": \"–\", \"bbox\": [403, 451, 409, 459]}, {\"cell\": \"Alzheimer’s disease dementia (N = 24)\", \"bbox\": [1, 465, 124, 475]}, {\"cell\": \" Age\", \"bbox\": [8, 479, 23, 489]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 479, 221, 489]}, {\"cell\": \"N.S.\", \"bbox\": [403, 479, 417, 489]}, {\"cell\": \" MMSE\", \"bbox\": [8, 493, 30, 503]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 493, 221, 503]}, {\"cell\": \"N.S.\", \"bbox\": [403, 493, 417, 503]}, {\"cell\": \" Amyloid-β1–42 (ng/L)\", \"bbox\": [8, 507, 77, 517]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 507, 221, 517]}, {\"cell\": \"N.S.\", \"bbox\": [403, 507, 417, 517]}, {\"cell\": \" Total tau (ng/L)\", \"bbox\": [8, 521, 60, 531]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 521, 277, 531]}, {\"cell\": \"rho = 0.675, P = 0.0003\", \"bbox\": [403, 521, 476, 531]}, {\"cell\": \" Phosphorylated tau (ng/L)\", \"bbox\": [8, 535, 94, 545]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 535, 272, 545]}, {\"cell\": \"rho = 0.673, P = 0.0003\", \"bbox\": [403, 535, 476, 545]}, {\"cell\": \" Synaptotagmin, 215–223\", \"bbox\": [8, 549, 90, 559]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 549, 214, 557]}, {\"cell\": \"rho = 0.995, P < 0.00001\", \"bbox\": [403, 549, 480, 559]}, {\"cell\": \" Synaptotagmin, 238–245\", \"bbox\": [8, 563, 90, 573]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 563, 285, 573]}, {\"cell\": \"–\", \"bbox\": [403, 563, 409, 571]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5048479_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
RIAS categoryBefore CSTAfter CSTDifference in utterancesP
[EMPTY_CELL]13.8 ± 6.826.0 ± 10.912.2 ± 13.30.001**
[EMPTY_CELL]5.4 ± 4.614.9 ± 8.99.5 ± 11.10.002*
[EMPTY_CELL]5.0 ± 3.86.7 ± 3.81.8 ± 3.30.041*
[EMPTY_CELL]3.4 ± 2.54.4 ± 3.31.0 ± 3.40.243
[EMPTY_CELL]27.9 ± 10.939.4 ± 11.511.5 ± 16.40.007*
[EMPTY_CELL]1.9 ± 1.73.0 ± 2.81.1 ± 3.40.207
[EMPTY_CELL]4.3 ± 1.73.6 ± 1.2−0.7 ± 1.50.060
[EMPTY_CELL]21.8 ± 10.032.9 ± 10.211.1 ± 15.30.005*
[EMPTY_CELL]20.7 ± 8.135.3 ± 11.714.6 ± 10.70.000**
[EMPTY_CELL]10.2 ± 5.017.7 ± 6.33.1 ± 3.30.003*
[EMPTY_CELL]3.3 ± 3.16.3 ± 3.17.6 ± 6.70.000**
[EMPTY_CELL]1.4 ± 1.411.3 ± 6.09.9 ± 5.80.000**
[EMPTY_CELL]42.6 ± 15.240.0 ± 13.4−2.6 ± 17.00.546
[EMPTY_CELL]23.2 ± 9.924.7 ± 8.91.6 ± 11.80.463
[EMPTY_CELL]19.4 ± 7.615.3 ± 6.1−4.1 ± 8.10.013*
[EMPTY_CELL]10.1 ± 3.510.7 ± 2.80.6 ± 3.70.455
\", \"cells\": [{\"cell\": \"RIAS category\", \"bbox\": [1, 4, 47, 13]}, {\"cell\": \"Before CST\", \"bbox\": [152, 4, 189, 13]}, {\"cell\": \"After CST\", \"bbox\": [241, 4, 273, 13]}, {\"cell\": \"Difference in utterances\", \"bbox\": [329, 4, 407, 13]}, {\"cell\": \"P\", \"bbox\": [460, 4, 465, 12]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 68, 27]}, {\"cell\": \"13.8 ± 6.8\", \"bbox\": [153, 17, 185, 27]}, {\"cell\": \"26.0 ± 10.9\", \"bbox\": [241, 17, 277, 27]}, {\"cell\": \"12.2 ± 13.3\", \"bbox\": [329, 17, 364, 27]}, {\"cell\": \"0.001**\", \"bbox\": [460, 17, 485, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 31, 48, 41]}, {\"cell\": \"5.4 ± 4.6\", \"bbox\": [157, 31, 184, 41]}, {\"cell\": \"14.9 ± 8.9\", \"bbox\": [241, 31, 273, 41]}, {\"cell\": \"9.5 ± 11.1\", \"bbox\": [329, 31, 361, 41]}, {\"cell\": \"0.002*\", \"bbox\": [460, 31, 481, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 45, 95, 55]}, {\"cell\": \"5.0 ± 3.8\", \"bbox\": [157, 45, 184, 55]}, {\"cell\": \"6.7 ± 3.8\", \"bbox\": [245, 45, 273, 55]}, {\"cell\": \"1.8 ± 3.3\", \"bbox\": [329, 45, 357, 55]}, {\"cell\": \"0.041*\", \"bbox\": [460, 45, 481, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 59, 48, 69]}, {\"cell\": \"3.4 ± 2.5\", \"bbox\": [157, 59, 184, 69]}, {\"cell\": \"4.4 ± 3.3\", \"bbox\": [245, 59, 273, 69]}, {\"cell\": \"1.0 ± 3.4\", \"bbox\": [329, 59, 357, 69]}, {\"cell\": \"0.243\", \"bbox\": [460, 59, 478, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 73, 68, 83]}, {\"cell\": \"27.9 ± 10.9\", \"bbox\": [153, 73, 188, 83]}, {\"cell\": \"39.4 ± 11.5\", \"bbox\": [241, 73, 277, 83]}, {\"cell\": \"11.5 ± 16.4\", \"bbox\": [329, 73, 364, 83]}, {\"cell\": \"0.007*\", \"bbox\": [460, 73, 481, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 87, 51, 97]}, {\"cell\": \"1.9 ± 1.7\", \"bbox\": [157, 87, 184, 97]}, {\"cell\": \"3.0 ± 2.8\", \"bbox\": [245, 87, 273, 97]}, {\"cell\": \"1.1 ± 3.4\", \"bbox\": [329, 87, 357, 97]}, {\"cell\": \"0.207\", \"bbox\": [460, 87, 478, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 101, 57, 111]}, {\"cell\": \"4.3 ± 1.7\", \"bbox\": [157, 101, 184, 111]}, {\"cell\": \"3.6 ± 1.2\", \"bbox\": [245, 101, 273, 111]}, {\"cell\": \"−0.7 ± 1.5\", \"bbox\": [329, 101, 362, 111]}, {\"cell\": \"0.060\", \"bbox\": [460, 101, 478, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 115, 81, 125]}, {\"cell\": \"21.8 ± 10.0\", \"bbox\": [153, 115, 188, 125]}, {\"cell\": \"32.9 ± 10.2\", \"bbox\": [241, 115, 277, 125]}, {\"cell\": \"11.1 ± 15.3\", \"bbox\": [329, 115, 364, 125]}, {\"cell\": \"0.005*\", \"bbox\": [460, 115, 481, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 129, 51, 139]}, {\"cell\": \"20.7 ± 8.1\", \"bbox\": [153, 129, 184, 139]}, {\"cell\": \"35.3 ± 11.7\", \"bbox\": [241, 129, 277, 139]}, {\"cell\": \"14.6 ± 10.7\", \"bbox\": [329, 129, 364, 139]}, {\"cell\": \"0.000**\", \"bbox\": [460, 129, 484, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 143, 85, 153]}, {\"cell\": \"10.2 ± 5.0\", \"bbox\": [153, 143, 184, 153]}, {\"cell\": \"17.7 ± 6.3\", \"bbox\": [241, 143, 273, 153]}, {\"cell\": \"3.1 ± 3.3\", \"bbox\": [329, 143, 357, 153]}, {\"cell\": \"0.003*\", \"bbox\": [460, 143, 481, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 157, 100, 167]}, {\"cell\": \"3.3 ± 3.1\", \"bbox\": [157, 157, 184, 167]}, {\"cell\": \"6.3 ± 3.1\", \"bbox\": [245, 157, 273, 167]}, {\"cell\": \"7.6 ± 6.7\", \"bbox\": [329, 157, 357, 167]}, {\"cell\": \"0.000**\", \"bbox\": [460, 157, 484, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 171, 93, 180]}, {\"cell\": \"1.4 ± 1.4\", \"bbox\": [157, 171, 184, 180]}, {\"cell\": \"11.3 ± 6.0\", \"bbox\": [241, 171, 273, 180]}, {\"cell\": \"9.9 ± 5.8\", \"bbox\": [329, 171, 357, 180]}, {\"cell\": \"0.000**\", \"bbox\": [460, 171, 484, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 185, 59, 194]}, {\"cell\": \"42.6 ± 15.2\", \"bbox\": [153, 185, 188, 194]}, {\"cell\": \"40.0 ± 13.4\", \"bbox\": [241, 185, 277, 194]}, {\"cell\": \"−2.6 ± 17.0\", \"bbox\": [329, 185, 365, 194]}, {\"cell\": \"0.546\", \"bbox\": [460, 185, 478, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 199, 67, 208]}, {\"cell\": \"23.2 ± 9.9\", \"bbox\": [153, 199, 184, 208]}, {\"cell\": \"24.7 ± 8.9\", \"bbox\": [241, 199, 273, 208]}, {\"cell\": \"1.6 ± 11.8\", \"bbox\": [329, 199, 361, 208]}, {\"cell\": \"0.463\", \"bbox\": [460, 199, 478, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 213, 39, 222]}, {\"cell\": \"19.4 ± 7.6\", \"bbox\": [153, 213, 184, 222]}, {\"cell\": \"15.3 ± 6.1\", \"bbox\": [241, 213, 273, 222]}, {\"cell\": \"−4.1 ± 8.1\", \"bbox\": [329, 213, 362, 222]}, {\"cell\": \"0.013*\", \"bbox\": [460, 213, 481, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 227, 24, 236]}, {\"cell\": \"10.1 ± 3.5\", \"bbox\": [153, 227, 184, 236]}, {\"cell\": \"10.7 ± 2.8\", \"bbox\": [241, 227, 273, 236]}, {\"cell\": \"0.6 ± 3.7\", \"bbox\": [329, 227, 357, 236]}, {\"cell\": \"0.455\", \"bbox\": [460, 227, 478, 236]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5385086_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Hair BMAA Content (μg g−1)GenderAgeEthnicityHair BMAA Content (μg g−1)GenderAgeEthnicity
NDF47CNDF25[EMPTY_CELL]
NDF72CNDF63[EMPTY_CELL]
NDF63CNDF58[EMPTY_CELL]
NDF40CNDF55[EMPTY_CELL]
NDF85CNDF62[EMPTY_CELL]
NDF55CNDF48[EMPTY_CELL]
NDF33CNDF20[EMPTY_CELL]
NDF37CNDF24[EMPTY_CELL]
NDF75CNDF33[EMPTY_CELL]
NDF60CNDF43[EMPTY_CELL]
NDF40CNDF47[EMPTY_CELL]
NDF58CNDF51[EMPTY_CELL]
NDF28CNDF72[EMPTY_CELL]
NDF35CNDF34[EMPTY_CELL]
NDF61CNDF44[EMPTY_CELL]
NDM48C0.021F26[EMPTY_CELL]
NDF25C0.025M23[EMPTY_CELL]
NDF33C0.028F83[EMPTY_CELL]
F25C0.032M25[EMPTY_CELL]
F50C0.033F45[EMPTY_CELL]
F44C0.035F12[EMPTY_CELL]
F50C0.045F26[EMPTY_CELL]
F45C0.051F54[EMPTY_CELL]
F26C0.064F21[EMPTY_CELL]
F34C0.077F49[EMPTY_CELL]
F31C0.080M58[EMPTY_CELL]
F32C0.081F52[EMPTY_CELL]
F45C0.084F73[EMPTY_CELL]
F35C0.088F62[EMPTY_CELL]
F45C0.092F77[EMPTY_CELL]
F63C0.098M3[EMPTY_CELL]
M26C0.107F22[EMPTY_CELL]
0.006F48C0.112F31[EMPTY_CELL]
0.007M79C0.112F21[EMPTY_CELL]
0.008F34C0.128F27[EMPTY_CELL]
0.009F27C0.149F63[EMPTY_CELL]
0.012M50C0.226F54[EMPTY_CELL]
0.014F50C0.240F69[EMPTY_CELL]
0.015M18C0.695F36[EMPTY_CELL]
0.016F26C0.723F24[EMPTY_CELL]
0.016F43C0.741F43[EMPTY_CELL]
0.016F52C1.164M67[EMPTY_CELL]
0.018F61C1.652F35[EMPTY_CELL]
0.021F47C9.636F54[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Hair BMAA Content (μg g−1)\", \"bbox\": [8, 5, 103, 15]}, {\"cell\": \"Gender\", \"bbox\": [115, 7, 140, 15]}, {\"cell\": \"Age\", \"bbox\": [157, 7, 171, 15]}, {\"cell\": \"Ethnicity\", \"bbox\": [186, 7, 216, 15]}, {\"cell\": \"Hair BMAA Content (μg g−1)\", \"bbox\": [225, 5, 320, 15]}, {\"cell\": \"Gender\", \"bbox\": [332, 7, 357, 15]}, {\"cell\": \"Age\", \"bbox\": [374, 7, 389, 15]}, {\"cell\": \"Ethnicity\", \"bbox\": [403, 7, 433, 15]}, {\"cell\": \"ND\", \"bbox\": [49, 19, 62, 28]}, {\"cell\": \"F\", \"bbox\": [125, 19, 130, 28]}, {\"cell\": \"47\", \"bbox\": [160, 19, 168, 28]}, {\"cell\": \"C\", \"bbox\": [197, 19, 204, 28]}, {\"cell\": \"ND\", \"bbox\": [266, 19, 279, 28]}, {\"cell\": \"F\", \"bbox\": [342, 19, 348, 28]}, {\"cell\": \"25\", \"bbox\": [377, 19, 386, 28]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 19, 421, 28]}, {\"cell\": \"ND\", \"bbox\": [49, 27, 62, 36]}, {\"cell\": \"F\", \"bbox\": [125, 27, 130, 36]}, {\"cell\": \"72\", \"bbox\": [160, 27, 168, 36]}, {\"cell\": \"C\", \"bbox\": [197, 27, 204, 36]}, {\"cell\": \"ND\", \"bbox\": [266, 27, 279, 36]}, {\"cell\": \"F\", \"bbox\": [342, 27, 348, 36]}, {\"cell\": \"63\", \"bbox\": [377, 27, 386, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 27, 421, 36]}, {\"cell\": \"ND\", \"bbox\": [49, 35, 62, 44]}, {\"cell\": \"F\", \"bbox\": [125, 35, 130, 44]}, {\"cell\": \"63\", \"bbox\": [160, 35, 168, 44]}, {\"cell\": \"C\", \"bbox\": [197, 35, 204, 44]}, {\"cell\": \"ND\", \"bbox\": [266, 35, 279, 44]}, {\"cell\": \"F\", \"bbox\": [342, 35, 348, 44]}, {\"cell\": \"58\", \"bbox\": [377, 35, 386, 44]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 35, 421, 44]}, {\"cell\": \"ND\", \"bbox\": [49, 44, 62, 53]}, {\"cell\": \"F\", \"bbox\": [125, 44, 130, 53]}, {\"cell\": \"40\", \"bbox\": [160, 44, 168, 53]}, {\"cell\": \"C\", \"bbox\": [197, 44, 204, 53]}, {\"cell\": \"ND\", \"bbox\": [266, 44, 279, 53]}, {\"cell\": \"F\", \"bbox\": [342, 44, 348, 53]}, {\"cell\": \"55\", \"bbox\": [377, 44, 386, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 44, 421, 53]}, {\"cell\": \"ND\", \"bbox\": [49, 52, 62, 61]}, {\"cell\": \"F\", \"bbox\": [125, 52, 130, 61]}, {\"cell\": \"85\", \"bbox\": [160, 52, 168, 61]}, {\"cell\": \"C\", \"bbox\": [197, 52, 204, 61]}, {\"cell\": \"ND\", \"bbox\": [266, 52, 279, 61]}, {\"cell\": \"F\", \"bbox\": [342, 52, 348, 61]}, {\"cell\": \"62\", \"bbox\": [377, 52, 386, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 52, 421, 61]}, {\"cell\": \"ND\", \"bbox\": [49, 61, 62, 69]}, {\"cell\": \"F\", \"bbox\": [125, 61, 130, 69]}, {\"cell\": \"55\", \"bbox\": [160, 61, 168, 69]}, {\"cell\": \"C\", \"bbox\": [197, 61, 204, 69]}, {\"cell\": \"ND\", \"bbox\": [266, 61, 279, 69]}, {\"cell\": \"F\", \"bbox\": [342, 61, 348, 69]}, {\"cell\": \"48\", \"bbox\": [377, 61, 386, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 61, 421, 69]}, {\"cell\": \"ND\", \"bbox\": [49, 69, 62, 78]}, {\"cell\": \"F\", \"bbox\": [125, 69, 130, 78]}, {\"cell\": \"33\", \"bbox\": [160, 69, 168, 78]}, {\"cell\": \"C\", \"bbox\": [197, 69, 204, 78]}, {\"cell\": \"ND\", \"bbox\": [266, 69, 279, 78]}, {\"cell\": \"F\", \"bbox\": [342, 69, 348, 78]}, {\"cell\": \"20\", \"bbox\": [377, 69, 386, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 69, 421, 78]}, {\"cell\": \"ND\", \"bbox\": [49, 77, 62, 86]}, {\"cell\": \"F\", \"bbox\": [125, 77, 130, 86]}, {\"cell\": \"37\", \"bbox\": [160, 77, 168, 86]}, {\"cell\": \"C\", \"bbox\": [197, 77, 204, 86]}, {\"cell\": \"ND\", \"bbox\": [266, 77, 279, 86]}, {\"cell\": \"F\", \"bbox\": [342, 77, 348, 86]}, {\"cell\": \"24\", \"bbox\": [377, 77, 386, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 77, 421, 86]}, {\"cell\": \"ND\", \"bbox\": [49, 86, 62, 94]}, {\"cell\": \"F\", \"bbox\": [125, 86, 130, 94]}, {\"cell\": \"75\", \"bbox\": [160, 86, 168, 94]}, {\"cell\": \"C\", \"bbox\": [197, 86, 204, 94]}, {\"cell\": \"ND\", \"bbox\": [266, 86, 279, 94]}, {\"cell\": \"F\", \"bbox\": [342, 86, 348, 94]}, {\"cell\": \"33\", \"bbox\": [377, 86, 386, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 86, 421, 94]}, {\"cell\": \"ND\", \"bbox\": [49, 94, 62, 103]}, {\"cell\": \"F\", \"bbox\": [125, 94, 130, 103]}, {\"cell\": \"60\", \"bbox\": [160, 94, 168, 103]}, {\"cell\": \"C\", \"bbox\": [197, 94, 204, 103]}, {\"cell\": \"ND\", \"bbox\": [266, 94, 279, 103]}, {\"cell\": \"F\", \"bbox\": [342, 94, 348, 103]}, {\"cell\": \"43\", \"bbox\": [377, 94, 386, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 94, 421, 103]}, {\"cell\": \"ND\", \"bbox\": [49, 102, 62, 111]}, {\"cell\": \"F\", \"bbox\": [125, 102, 130, 111]}, {\"cell\": \"40\", \"bbox\": [160, 102, 168, 111]}, {\"cell\": \"C\", \"bbox\": [197, 102, 204, 111]}, {\"cell\": \"ND\", \"bbox\": [266, 102, 279, 111]}, {\"cell\": \"F\", \"bbox\": [342, 102, 348, 111]}, {\"cell\": \"47\", \"bbox\": [377, 102, 386, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 102, 421, 111]}, {\"cell\": \"ND\", \"bbox\": [49, 111, 62, 120]}, {\"cell\": \"F\", \"bbox\": [125, 111, 130, 120]}, {\"cell\": \"58\", \"bbox\": [160, 111, 168, 120]}, {\"cell\": \"C\", \"bbox\": [197, 111, 204, 120]}, {\"cell\": \"ND\", \"bbox\": [266, 111, 279, 120]}, {\"cell\": \"F\", \"bbox\": [342, 111, 348, 120]}, {\"cell\": \"51\", \"bbox\": [377, 111, 386, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 111, 421, 120]}, {\"cell\": \"ND\", \"bbox\": [49, 119, 62, 128]}, {\"cell\": \"F\", \"bbox\": [125, 119, 130, 128]}, {\"cell\": \"28\", \"bbox\": [160, 119, 168, 128]}, {\"cell\": \"C\", \"bbox\": [197, 119, 204, 128]}, {\"cell\": \"ND\", \"bbox\": [266, 119, 279, 128]}, {\"cell\": \"F\", \"bbox\": [342, 119, 348, 128]}, {\"cell\": \"72\", \"bbox\": [377, 119, 386, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 119, 421, 128]}, {\"cell\": \"ND\", \"bbox\": [49, 127, 62, 136]}, {\"cell\": \"F\", \"bbox\": [125, 127, 130, 136]}, {\"cell\": \"35\", \"bbox\": [160, 127, 168, 136]}, {\"cell\": \"C\", \"bbox\": [197, 127, 204, 136]}, {\"cell\": \"ND\", \"bbox\": [266, 127, 279, 136]}, {\"cell\": \"F\", \"bbox\": [342, 127, 348, 136]}, {\"cell\": \"34\", \"bbox\": [377, 127, 386, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 127, 421, 136]}, {\"cell\": \"ND\", \"bbox\": [49, 136, 62, 145]}, {\"cell\": \"F\", \"bbox\": [125, 136, 130, 145]}, {\"cell\": \"61\", \"bbox\": [160, 136, 168, 145]}, {\"cell\": \"C\", \"bbox\": [197, 136, 204, 145]}, {\"cell\": \"ND\", \"bbox\": [266, 136, 279, 145]}, {\"cell\": \"F\", \"bbox\": [342, 136, 348, 145]}, {\"cell\": \"44\", \"bbox\": [377, 136, 386, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 136, 421, 145]}, {\"cell\": \"ND\", \"bbox\": [49, 144, 62, 153]}, {\"cell\": \"M\", \"bbox\": [123, 144, 132, 153]}, {\"cell\": \"48\", \"bbox\": [160, 144, 168, 153]}, {\"cell\": \"C\", \"bbox\": [197, 144, 204, 153]}, {\"cell\": \"0.021\", \"bbox\": [264, 144, 281, 153]}, {\"cell\": \"F\", \"bbox\": [342, 144, 348, 153]}, {\"cell\": \"26\", \"bbox\": [377, 144, 386, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 144, 421, 153]}, {\"cell\": \"ND\", \"bbox\": [49, 153, 62, 161]}, {\"cell\": \"F\", \"bbox\": [125, 153, 130, 161]}, {\"cell\": \"25\", \"bbox\": [160, 153, 168, 161]}, {\"cell\": \"C\", \"bbox\": [197, 153, 204, 161]}, {\"cell\": \"0.025\", \"bbox\": [264, 153, 281, 161]}, {\"cell\": \"M\", \"bbox\": [341, 153, 349, 161]}, {\"cell\": \"23\", \"bbox\": [377, 153, 386, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 153, 421, 161]}, {\"cell\": \"ND\", \"bbox\": [49, 161, 62, 170]}, {\"cell\": \"F\", \"bbox\": [125, 161, 130, 170]}, {\"cell\": \"33\", \"bbox\": [160, 161, 168, 170]}, {\"cell\": \"C\", \"bbox\": [197, 161, 204, 170]}, {\"cell\": \"0.028\", \"bbox\": [264, 161, 281, 170]}, {\"cell\": \"F\", \"bbox\": [342, 161, 348, 170]}, {\"cell\": \"83\", \"bbox\": [377, 161, 386, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 161, 421, 170]}, {\"cell\": \"\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Bivariate analyses Standardized Beta (P value)Multiple linear regression Standardized Beta (95% CI)
Predisposing factors[EMPTY_CELL][EMPTY_CELL]
Gender (male = 1)[EMPTY_CELL][EMPTY_CELL]
Marital status[EMPTY_CELL][EMPTY_CELL]
Enabling factors[EMPTY_CELL][EMPTY_CELL]
Territory (urban vs semi-urban/rural)[EMPTY_CELL][EMPTY_CELL]
Amount of help from services for information and utility needs[EMPTY_CELL]0.186 (0.068; 0.794)
Duration of follow-up by GP[EMPTY_CELL][EMPTY_CELL]
Duration of follow-up by case manager[EMPTY_CELL]0.356 (0.160; 0.684)
Satisfaction with regard to diversified service accessibility[EMPTY_CELL][EMPTY_CELL]
Satisfaction with ease of accessing psychiatrist[EMPTY_CELL][EMPTY_CELL]
[EMPTY_CELL][EMPTY_CELL]F = 7,270;P = 0,001R2 = 17,6%
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Bivariate analyses Standardized Beta (P value)\", \"bbox\": [180, 3, 313, 23]}, {\"cell\": \"Multiple linear regression Standardized Beta (95% CI)\", \"bbox\": [329, 3, 472, 23]}, {\"cell\": \"Predisposing factors\", \"bbox\": [5, 39, 80, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Gender (male = 1)\", \"bbox\": [20, 53, 81, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 53, 269, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Marital status\", \"bbox\": [20, 67, 66, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 67, 269, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Enabling factors\", \"bbox\": [5, 81, 64, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Territory (urban vs semi-urban/rural)\", \"bbox\": [20, 107, 143, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [223, 107, 270, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Amount of help from services for information and utility needs\", \"bbox\": [20, 121, 170, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 121, 269, 131]}, {\"cell\": \"0.186 (0.068; 0.794)\", \"bbox\": [368, 121, 434, 131]}, {\"cell\": \" Duration of follow-up by GP\", \"bbox\": [20, 145, 114, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 145, 269, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Duration of follow-up by case manager\", \"bbox\": [20, 159, 151, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [221, 159, 272, 169]}, {\"cell\": \"0.356 (0.160; 0.684)\", \"bbox\": [368, 159, 433, 169]}, {\"cell\": \" Satisfaction with regard to diversified service accessibility\", \"bbox\": [20, 173, 170, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 173, 269, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Satisfaction with ease of accessing psychiatrist\", \"bbox\": [20, 197, 136, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 197, 269, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"F = 7,270;P = 0,001R2 = 17,6%\", \"bbox\": [381, 233, 420, 263]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2896947_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
PlantingRTSRProteinOilOleicLinolenicSucStacGluBPFe
April[EMPTY_CELL]2042024223167.6[EMPTY_CELL]26.72.838.34.566.0
[EMPTY_CELL]S3041324223766.4[EMPTY_CELL]26.32.844.74.566.0
[EMPTY_CELL][EMPTY_CELL]4041923724656.7[EMPTY_CELL]29.42.643.85.665.5
[EMPTY_CELL][EMPTY_CELL]5041724225656.3[EMPTY_CELL]26.32.836.44.563.8
[EMPTY_CELL][EMPTY_CELL]LSD1.902.104.202.90[EMPTY_CELL]0.700.203.700.071.30
[EMPTY_CELL][EMPTY_CELL]2040924524660.0[EMPTY_CELL]28.34.141.14.657.0
[EMPTY_CELL]T3040824328161.3[EMPTY_CELL]27.24.147.25.666.8
[EMPTY_CELL][EMPTY_CELL]4040824427561.5[EMPTY_CELL]26.84.148.25.673.3
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494, 354]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"LSD\", \"bbox\": [85, 359, 101, 368]}, {\"cell\": \"2.40\", \"bbox\": [122, 359, 138, 368]}, {\"cell\": \"2.90\", \"bbox\": [166, 359, 182, 368]}, {\"cell\": \"3.90\", \"bbox\": [203, 359, 220, 368]}, {\"cell\": \"3.60\", \"bbox\": [241, 359, 257, 368]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [290, 359, 305, 368]}, {\"cell\": \"1.10\", \"bbox\": [327, 359, 342, 368]}, {\"cell\": \"0.16\", \"bbox\": [365, 359, 382, 368]}, {\"cell\": \"1.30\", \"bbox\": [403, 359, 418, 368]}, {\"cell\": \"0.15\", \"bbox\": [440, 359, 456, 368]}, {\"cell\": \"1.70\", \"bbox\": [477, 359, 493, 368]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"20\", \"bbox\": [85, 372, 95, 381]}, {\"cell\": \"419\", \"bbox\": [122, 372, 136, 381]}, {\"cell\": \"217\", \"bbox\": [166, 372, 180, 381]}, {\"cell\": \"220\", \"bbox\": [203, 372, 218, 381]}, {\"cell\": \"90.6\", \"bbox\": [241, 372, 257, 381]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [290, 372, 306, 381]}, {\"cell\": \"24.5\", \"bbox\": [327, 372, 343, 381]}, {\"cell\": \"4.0\", \"bbox\": [365, 372, 378, 381]}, {\"cell\": \"28.8\", \"bbox\": [403, 372, 419, 381]}, {\"cell\": \"3.7\", \"bbox\": [440, 372, 452, 381]}, {\"cell\": \"45.8\", \"bbox\": [477, 372, 494, 381]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"T\", \"bbox\": [52, 386, 58, 395]}, {\"cell\": \"30\", \"bbox\": [85, 386, 95, 395]}, {\"cell\": \"434\", \"bbox\": [122, 386, 136, 395]}, {\"cell\": \"220\", \"bbox\": [166, 386, 180, 395]}, {\"cell\": \"201\", \"bbox\": [203, 386, 217, 395]}, {\"cell\": \"79.9\", \"bbox\": [241, 386, 257, 395]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [290, 386, 306, 395]}, {\"cell\": \"26.4\", \"bbox\": [327, 386, 343, 395]}, {\"cell\": \"4.1\", \"bbox\": [365, 386, 378, 395]}, {\"cell\": \"37.8\", \"bbox\": [403, 386, 418, 395]}, {\"cell\": \"3.5\", \"bbox\": [440, 386, 452, 395]}, {\"cell\": \"57.8\", \"bbox\": [477, 386, 492, 395]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"40\", \"bbox\": [85, 399, 95, 408]}, {\"cell\": \"433\", \"bbox\": [122, 399, 136, 408]}, {\"cell\": \"217\", \"bbox\": [166, 399, 180, 408]}, {\"cell\": \"205\", \"bbox\": [203, 399, 218, 408]}, {\"cell\": \"82.2\", \"bbox\": [241, 399, 257, 408]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [290, 399, 306, 408]}, {\"cell\": \"23.8\", \"bbox\": [327, 399, 343, 408]}, {\"cell\": \"4.1\", \"bbox\": [365, 399, 378, 408]}, {\"cell\": \"38.5\", \"bbox\": [403, 399, 419, 408]}, {\"cell\": \"3.7\", \"bbox\": [440, 399, 452, 408]}, {\"cell\": \"63.3\", \"bbox\": [477, 399, 494, 408]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"50\", \"bbox\": [85, 413, 95, 421]}, {\"cell\": \"422\", \"bbox\": [122, 413, 136, 421]}, {\"cell\": \"224\", \"bbox\": [166, 413, 180, 421]}, {\"cell\": \"209\", \"bbox\": [203, 413, 218, 421]}, {\"cell\": \"83.7\", \"bbox\": [241, 413, 257, 421]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [290, 413, 306, 421]}, {\"cell\": \"27.3\", \"bbox\": [327, 413, 342, 421]}, {\"cell\": \"4.1\", \"bbox\": [365, 413, 378, 421]}, {\"cell\": \"39.2\", \"bbox\": [403, 413, 419, 421]}, {\"cell\": \"3.7\", \"bbox\": [440, 413, 452, 421]}, {\"cell\": \"57.8\", \"bbox\": [477, 413, 492, 421]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"LSD\", \"bbox\": [85, 426, 101, 435]}, {\"cell\": \"4.10\", \"bbox\": [122, 426, 138, 435]}, {\"cell\": \"2.60\", \"bbox\": [166, 426, 182, 435]}, {\"cell\": \"7.70\", \"bbox\": [203, 426, 218, 435]}, {\"cell\": \"3.40\", \"bbox\": [241, 426, 257, 435]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [290, 426, 306, 435]}, {\"cell\": \"1.20\", \"bbox\": [327, 426, 342, 435]}, {\"cell\": \"0.20\", \"bbox\": [365, 426, 382, 435]}, {\"cell\": \"1.50\", \"bbox\": [403, 426, 418, 435]}, {\"cell\": \"0.09\", \"bbox\": [440, 426, 457, 435]}, {\"cell\": \"2.70\", \"bbox\": [477, 426, 494, 435]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4332302_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
AuthorYearAge/genderPost-kidney transplantation (years)Hernia contentOperation methodsMorbidity
[EMPTY_CELL]198558/M12Transplanted ureterMcVayUreteric stenosis
[EMPTY_CELL]200039/M4N/AMcVayUrinary bladder injury
[EMPTY_CELL]200570/M5Transplanted ureterLichtensteinNone
[EMPTY_CELL]200644/M12Transplanted ureterN/ANone
[EMPTY_CELL]200775/M11Transplanted ureterN/ANone
[EMPTY_CELL]200772/M12Transplanted ureterPolypropylene mesh useNone
[EMPTY_CELL]200853/M9Transplanted ureterN/ANone
[EMPTY_CELL]200976/M20Transplanted ureterN/ANone
[EMPTY_CELL]201058/M15Transplanted ureterLichtensteinNone
[EMPTY_CELL]201250/M12Transplanted ureterNo operationDeath
[EMPTY_CELL]201357/M3N/ATAPPUreteric stenosis
[EMPTY_CELL]201432/M7Transplanted ureter and bladderN/ANone
[EMPTY_CELL][EMPTY_CELL]52/M7N/ALichtensteinNone
\", \"cells\": [{\"cell\": \"Author\", \"bbox\": [1, 4, 25, 13]}, {\"cell\": \"Year\", \"bbox\": [52, 4, 68, 13]}, {\"cell\": \"Age/gender\", \"bbox\": [73, 4, 98, 22]}, {\"cell\": \"Post-kidney transplantation (years)\", \"bbox\": [115, 4, 204, 22]}, {\"cell\": \"Hernia content\", \"bbox\": [225, 4, 275, 13]}, {\"cell\": \"Operation methods\", \"bbox\": [328, 4, 393, 13]}, {\"cell\": \"Morbidity\", \"bbox\": [413, 4, 446, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 26, 36, 36]}, {\"cell\": \"1985\", \"bbox\": [52, 26, 69, 36]}, {\"cell\": \"58/M\", \"bbox\": [73, 26, 92, 36]}, {\"cell\": \"12\", \"bbox\": [115, 26, 125, 36]}, {\"cell\": \"Transplanted ureter\", \"bbox\": [225, 26, 289, 36]}, {\"cell\": \"McVay\", \"bbox\": [328, 26, 351, 36]}, {\"cell\": \"Ureteric stenosis\", \"bbox\": [413, 26, 468, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 40, 45, 50]}, {\"cell\": \"2000\", \"bbox\": [52, 40, 69, 50]}, {\"cell\": \"39/M\", \"bbox\": [73, 40, 92, 50]}, {\"cell\": \"4\", \"bbox\": [115, 40, 121, 50]}, {\"cell\": \"N/A\", \"bbox\": [225, 40, 239, 50]}, {\"cell\": \"McVay\", \"bbox\": [328, 40, 351, 50]}, {\"cell\": \"Urinary bladder injury\", \"bbox\": [413, 40, 484, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 54, 39, 64]}, {\"cell\": \"2005\", \"bbox\": [52, 54, 69, 64]}, {\"cell\": \"70/M\", \"bbox\": [73, 54, 92, 64]}, {\"cell\": \"5\", \"bbox\": [115, 54, 121, 64]}, {\"cell\": \"Transplanted ureter\", \"bbox\": [225, 54, 289, 64]}, {\"cell\": \"Lichtenstein\", \"bbox\": [328, 54, 369, 64]}, {\"cell\": \"None\", \"bbox\": [413, 54, 433, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 68, 38, 78]}, {\"cell\": \"2006\", \"bbox\": [52, 68, 69, 78]}, {\"cell\": \"44/M\", \"bbox\": [73, 68, 92, 78]}, {\"cell\": \"12\", \"bbox\": [115, 68, 125, 78]}, {\"cell\": \"Transplanted ureter\", \"bbox\": [225, 68, 289, 78]}, {\"cell\": \"N/A\", \"bbox\": [328, 68, 343, 78]}, {\"cell\": \"None\", \"bbox\": [413, 68, 433, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 82, 42, 92]}, {\"cell\": \"2007\", \"bbox\": [52, 82, 69, 92]}, {\"cell\": \"75/M\", \"bbox\": [73, 82, 92, 92]}, {\"cell\": \"11\", \"bbox\": [115, 82, 125, 92]}, {\"cell\": \"Transplanted ureter\", \"bbox\": [225, 82, 289, 92]}, {\"cell\": \"N/A\", \"bbox\": [328, 82, 343, 92]}, {\"cell\": \"None\", \"bbox\": [413, 82, 433, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 96, 34, 106]}, {\"cell\": \"2007\", \"bbox\": [52, 96, 69, 106]}, {\"cell\": \"72/M\", \"bbox\": [73, 96, 92, 106]}, {\"cell\": \"12\", \"bbox\": [115, 96, 125, 106]}, {\"cell\": \"Transplanted ureter\", \"bbox\": [225, 96, 289, 106]}, {\"cell\": \"Polypropylene mesh use\", \"bbox\": [328, 96, 409, 106]}, {\"cell\": \"None\", \"bbox\": [413, 96, 433, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 110, 30, 120]}, {\"cell\": \"2008\", \"bbox\": [52, 110, 69, 120]}, {\"cell\": \"53/M\", \"bbox\": [73, 110, 92, 120]}, {\"cell\": \"9\", \"bbox\": [115, 110, 121, 120]}, {\"cell\": \"Transplanted ureter\", \"bbox\": [225, 110, 289, 120]}, {\"cell\": \"N/A\", \"bbox\": [328, 110, 343, 120]}, {\"cell\": \"None\", \"bbox\": [413, 110, 433, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 124, 35, 134]}, {\"cell\": \"2009\", \"bbox\": [52, 124, 69, 134]}, {\"cell\": \"76/M\", \"bbox\": [73, 124, 92, 134]}, {\"cell\": \"20\", \"bbox\": [115, 124, 125, 134]}, {\"cell\": \"Transplanted ureter\", \"bbox\": [225, 124, 289, 134]}, {\"cell\": \"N/A\", \"bbox\": [328, 124, 343, 134]}, {\"cell\": \"None\", \"bbox\": [413, 124, 433, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 138, 39, 148]}, {\"cell\": \"2010\", \"bbox\": [52, 138, 69, 148]}, {\"cell\": \"58/M\", \"bbox\": [73, 138, 92, 148]}, {\"cell\": \"15\", \"bbox\": [115, 138, 125, 148]}, {\"cell\": \"Transplanted ureter\", \"bbox\": [225, 138, 289, 148]}, {\"cell\": \"Lichtenstein\", \"bbox\": [328, 138, 369, 148]}, {\"cell\": \"None\", \"bbox\": [413, 138, 433, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 152, 48, 162]}, {\"cell\": \"2012\", \"bbox\": [52, 152, 69, 162]}, {\"cell\": \"50/M\", \"bbox\": [73, 152, 92, 162]}, {\"cell\": \"12\", \"bbox\": [115, 152, 125, 162]}, {\"cell\": \"Transplanted ureter\", \"bbox\": [225, 152, 289, 162]}, {\"cell\": \"No operation\", \"bbox\": [328, 152, 373, 162]}, {\"cell\": \"Death\", \"bbox\": [413, 152, 434, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 166, 23, 176]}, {\"cell\": \"2013\", \"bbox\": [52, 166, 69, 176]}, {\"cell\": \"57/M\", \"bbox\": [73, 166, 92, 176]}, {\"cell\": \"3\", \"bbox\": [115, 166, 121, 176]}, {\"cell\": \"N/A\", \"bbox\": [225, 166, 239, 176]}, {\"cell\": \"TAPP\", \"bbox\": [328, 166, 347, 176]}, {\"cell\": \"Ureteric stenosis\", \"bbox\": [413, 166, 468, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 180, 31, 190]}, {\"cell\": \"2014\", \"bbox\": [52, 180, 69, 190]}, {\"cell\": \"32/M\", \"bbox\": [73, 180, 92, 190]}, {\"cell\": \"7\", \"bbox\": [115, 180, 121, 190]}, {\"cell\": \"Transplanted ureter and bladder\", \"bbox\": [225, 180, 304, 199]}, {\"cell\": \"N/A\", \"bbox\": [328, 180, 343, 190]}, {\"cell\": \"None\", \"bbox\": [413, 180, 433, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 203, 30, 213]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"52/M\", \"bbox\": [73, 203, 92, 213]}, {\"cell\": \"7\", \"bbox\": [115, 203, 121, 213]}, {\"cell\": \"N/A\", \"bbox\": [225, 203, 239, 213]}, {\"cell\": \"Lichtenstein\", \"bbox\": [328, 203, 369, 213]}, {\"cell\": \"None\", \"bbox\": [413, 203, 433, 213]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4609305_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
NAge (Months)GenderFoodSPT Extract (mm)SPT Fresh (mm)Specific IgE (kU/L)EczemaAllergic RhinitisAsthmaOther Food AllergySymptoms of Index ReactionChallenge Result
113MBaked milk6101.63No No [EMPTY_CELL]Egg HivesNegative
219MBaked milk8100.63Yes No[EMPTY_CELL]NoHives, angioedema, vomitingNegative
38MPeanut3-0.1Yes No[EMPTY_CELL]NoNo prior ingestionNegative
414MBaked milk10180.2Yes No[EMPTY_CELL]Egg, peanutEczema flare Negative
515MSoy2010.26Yes No[EMPTY_CELL]Egg, peanutNo prior ingestionNegative
622MBaked egg0011.1No Yes [EMPTY_CELL]MilkHivesPositive
713MSoy0200.89Yes No [EMPTY_CELL]Egg, peanut, wheatHives, difficulty in breathingNegative
810MPeanut000.12Yes No[EMPTY_CELL]EggNo prior ingestionNegative
914MSesame030.94Yes No[EMPTY_CELL]Egg, peanut, wheatHives, difficulty in breathingNegative
1010MPeanut30-Yes No[EMPTY_CELL]MilkNo prior ingestionNegative
1110FAlmond200.21Yes No[EMPTY_CELL]PeanutNo prior ingestionNegative
1212MAlmond300.34Yes No [EMPTY_CELL]Egg, peanut, wheatNo prior ingestionNegative
1315MPeanut44-Yes No[EMPTY_CELL]NoNo prior ingestionNegative
1412MPeanut200.55Yes No[EMPTY_CELL]Tree nutsNo prior ingestionNegative
1534MHazelnut201.34YesNo[EMPTY_CELL]Walnut, pecanNo prior ingestionNegative
1625MWalnut300.1Yes No[EMPTY_CELL]Egg, peanutNo prior ingestionNegative
1727MCashew540.37Yes No[EMPTY_CELL]Egg, peanutNo prior ingestionNegative
188FPeanut100.1Yes No [EMPTY_CELL]NoEczema flare, itching, irritabilityNegative
\", \"cells\": [{\"cell\": \"N\", \"bbox\": [1, 2, 8, 10]}, {\"cell\": \"Age (Months)\", \"bbox\": [23, 2, 63, 10]}, {\"cell\": \"Gender\", \"bbox\": [71, 2, 94, 10]}, {\"cell\": \"Food\", \"bbox\": [100, 2, 116, 10]}, {\"cell\": \"SPT Extract (mm)\", \"bbox\": [136, 2, 186, 10]}, {\"cell\": \"SPT Fresh (mm)\", \"bbox\": [201, 2, 247, 10]}, {\"cell\": \"Specific IgE (kU/L)\", \"bbox\": [260, 2, 314, 10]}, {\"cell\": \"Eczema\", \"bbox\": [328, 2, 351, 10]}, {\"cell\": \"Allergic Rhinitis\", \"bbox\": [364, 2, 413, 10]}, {\"cell\": \"Asthma\", \"bbox\": [422, 2, 445, 10]}, {\"cell\": \"Other Food Allergy\", \"bbox\": [452, 2, 508, 10]}, {\"cell\": \"Symptoms of Index Reaction\", \"bbox\": [526, 2, 609, 10]}, {\"cell\": \"Challenge Result\", \"bbox\": [620, 2, 670, 10]}, {\"cell\": \"1\", \"bbox\": [2, 16, 7, 25]}, {\"cell\": \"13\", \"bbox\": [39, 16, 47, 25]}, {\"cell\": \"M\", \"bbox\": [75, 16, 83, 25]}, {\"cell\": \"Baked milk\", \"bbox\": [98, 13, 117, 28]}, {\"cell\": \"6\", \"bbox\": [158, 16, 163, 25]}, {\"cell\": \"10\", \"bbox\": [220, 16, 228, 25]}, {\"cell\": \"1.63\", \"bbox\": [280, 16, 293, 25]}, {\"cell\": \"No \", \"bbox\": [335, 16, 345, 25]}, {\"cell\": \"No \", \"bbox\": [383, 16, 393, 25]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [424, 16, 434, 25]}, {\"cell\": \"Egg \", \"bbox\": [474, 16, 486, 25]}, {\"cell\": \"Hives\", \"bbox\": [558, 16, 576, 25]}, {\"cell\": \"Negative\", \"bbox\": [632, 16, 658, 25]}, {\"cell\": \"2\", \"bbox\": [2, 31, 7, 40]}, {\"cell\": \"19\", \"bbox\": [39, 31, 47, 40]}, {\"cell\": \"M\", \"bbox\": [75, 31, 83, 40]}, {\"cell\": \"Baked milk\", \"bbox\": [98, 28, 117, 43]}, {\"cell\": \"8\", \"bbox\": [158, 31, 163, 40]}, {\"cell\": \"10\", \"bbox\": [220, 31, 228, 40]}, {\"cell\": \"0.63\", \"bbox\": [280, 31, 293, 40]}, {\"cell\": \"Yes \", \"bbox\": [334, 31, 346, 40]}, {\"cell\": \"No\", \"bbox\": [383, 31, 393, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [424, 31, 434, 40]}, {\"cell\": \"No\", \"bbox\": [475, 31, 485, 40]}, {\"cell\": \"Hives, angioedema, vomiting\", \"bbox\": [527, 31, 608, 40]}, {\"cell\": \"Negative\", \"bbox\": [632, 31, 658, 40]}, {\"cell\": \"3\", \"bbox\": [2, 43, 7, 51]}, {\"cell\": \"8\", \"bbox\": [41, 43, 46, 51]}, {\"cell\": \"M\", \"bbox\": [75, 43, 83, 51]}, {\"cell\": \"Peanut\", \"bbox\": [97, 43, 118, 51]}, {\"cell\": \"3\", \"bbox\": [158, 43, 163, 51]}, {\"cell\": \"-\", \"bbox\": [222, 43, 226, 51]}, {\"cell\": \"0.1\", \"bbox\": [282, 43, 292, 51]}, {\"cell\": \"Yes \", \"bbox\": [334, 43, 346, 51]}, {\"cell\": \"No\", \"bbox\": [383, 43, 393, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [424, 43, 434, 51]}, {\"cell\": \"No\", \"bbox\": [475, 43, 485, 51]}, {\"cell\": \"No prior ingestion\", \"bbox\": [541, 43, 593, 51]}, {\"cell\": \"Negative\", \"bbox\": [632, 43, 658, 51]}, {\"cell\": \"4\", \"bbox\": [2, 54, 7, 62]}, {\"cell\": \"14\", \"bbox\": [39, 54, 47, 62]}, {\"cell\": \"M\", \"bbox\": [75, 54, 83, 62]}, {\"cell\": \"Baked milk\", \"bbox\": [98, 50, 117, 66]}, {\"cell\": \"10\", \"bbox\": [157, 54, 165, 62]}, {\"cell\": \"18\", \"bbox\": [220, 54, 228, 62]}, {\"cell\": \"0.2\", \"bbox\": [282, 54, 292, 62]}, {\"cell\": \"Yes \", \"bbox\": [334, 54, 346, 62]}, {\"cell\": \"No\", \"bbox\": [383, 54, 393, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [424, 54, 434, 62]}, {\"cell\": \"Egg, peanut\", \"bbox\": [463, 54, 497, 62]}, {\"cell\": \"Eczema flare \", \"bbox\": [549, 54, 586, 62]}, {\"cell\": \"Negative \", \"bbox\": [632, 54, 658, 62]}, {\"cell\": \"5\", \"bbox\": [2, 65, 7, 73]}, {\"cell\": \"15\", \"bbox\": [39, 65, 47, 73]}, {\"cell\": \"M\", \"bbox\": [75, 65, 83, 73]}, {\"cell\": \"Soy\", \"bbox\": [102, 65, 114, 73]}, {\"cell\": \"20\", \"bbox\": [157, 65, 165, 73]}, {\"cell\": \"1\", \"bbox\": [221, 65, 226, 73]}, {\"cell\": \"0.26\", \"bbox\": [280, 65, 293, 73]}, {\"cell\": \"Yes \", \"bbox\": [334, 65, 346, 73]}, {\"cell\": \"No\", \"bbox\": [383, 65, 393, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [424, 65, 434, 73]}, {\"cell\": \"Egg, peanut\", \"bbox\": [463, 65, 497, 73]}, {\"cell\": \"No prior ingestion\", \"bbox\": [541, 65, 593, 73]}, {\"cell\": \"Negative \", \"bbox\": [632, 65, 658, 73]}, {\"cell\": \"6\", \"bbox\": [2, 72, 7, 81]}, {\"cell\": \"22\", \"bbox\": [39, 72, 47, 81]}, {\"cell\": \"M\", \"bbox\": [75, 72, 83, 81]}, {\"cell\": \"Baked egg\", \"bbox\": [93, 72, 123, 81]}, {\"cell\": \"0\", \"bbox\": [158, 72, 163, 81]}, {\"cell\": \"0\", \"bbox\": [221, 72, 226, 81]}, {\"cell\": \"11.1\", \"bbox\": [280, 72, 293, 81]}, {\"cell\": \"No \", \"bbox\": [335, 72, 345, 81]}, {\"cell\": \"Yes \", \"bbox\": [383, 72, 394, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [424, 72, 434, 81]}, {\"cell\": \"Milk\", \"bbox\": [473, 72, 487, 81]}, {\"cell\": \"Hives\", \"bbox\": [558, 72, 576, 81]}, {\"cell\": \"Positive \", \"bbox\": [633, 72, 657, 81]}, {\"cell\": \"7\", \"bbox\": [2, 80, 7, 88]}, {\"cell\": \"13\", \"bbox\": [39, 80, 47, 88]}, {\"cell\": \"M\", \"bbox\": [75, 80, 83, 88]}, {\"cell\": \"Soy\", \"bbox\": [102, 80, 114, 88]}, {\"cell\": \"0\", \"bbox\": [158, 80, 163, 88]}, {\"cell\": \"20\", \"bbox\": [220, 80, 228, 88]}, {\"cell\": \"0.89\", \"bbox\": [280, 80, 293, 88]}, {\"cell\": \"Yes \", \"bbox\": [334, 80, 345, 88]}, {\"cell\": \"No \", \"bbox\": [383, 80, 393, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [424, 80, 434, 88]}, {\"cell\": \"Egg, peanut, wheat\", \"bbox\": [453, 80, 507, 88]}, {\"cell\": \"Hives, difficulty in breathing\", \"bbox\": [527, 80, 607, 88]}, {\"cell\": \"Negative\", \"bbox\": [632, 80, 658, 88]}, {\"cell\": \"8\", \"bbox\": [2, 87, 7, 96]}, {\"cell\": \"10\", \"bbox\": [39, 87, 47, 96]}, {\"cell\": \"M\", \"bbox\": [75, 87, 83, 96]}, {\"cell\": \"Peanut\", \"bbox\": [97, 87, 118, 96]}, {\"cell\": \"0\", \"bbox\": [158, 87, 163, 96]}, {\"cell\": \"0\", \"bbox\": [221, 87, 226, 96]}, {\"cell\": \"0.12\", \"bbox\": [280, 87, 293, 96]}, {\"cell\": \"Yes \", \"bbox\": [334, 87, 345, 96]}, {\"cell\": \"No\", \"bbox\": [383, 87, 393, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [424, 87, 434, 96]}, {\"cell\": \"Egg\", \"bbox\": [474, 87, 486, 96]}, {\"cell\": \"No prior ingestion\", \"bbox\": [541, 87, 593, 96]}, {\"cell\": \"Negative\", \"bbox\": [632, 87, 658, 96]}, {\"cell\": \"9\", \"bbox\": [2, 95, 7, 103]}, {\"cell\": \"14\", \"bbox\": [39, 95, 47, 103]}, {\"cell\": \"M\", \"bbox\": [75, 95, 83, 103]}, {\"cell\": \"Sesame\", \"bbox\": [97, 95, 119, 103]}, {\"cell\": \"0\", \"bbox\": [158, 95, 163, 103]}, {\"cell\": \"3\", \"bbox\": [221, 95, 226, 103]}, {\"cell\": \"0.94\", \"bbox\": [280, 95, 293, 103]}, {\"cell\": \"Yes \", \"bbox\": [334, 95, 346, 103]}, {\"cell\": \"No\", \"bbox\": [383, 95, 393, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [424, 95, 434, 103]}, {\"cell\": \"Egg, peanut, wheat\", \"bbox\": [453, 95, 507, 103]}, {\"cell\": \"Hives, difficulty in breathing\", \"bbox\": [527, 95, 607, 103]}, {\"cell\": \"Negative\", \"bbox\": [632, 95, 658, 103]}, {\"cell\": \"10\", \"bbox\": [0, 102, 9, 111]}, {\"cell\": \"10\", \"bbox\": [39, 102, 47, 111]}, {\"cell\": \"M\", \"bbox\": [75, 102, 83, 111]}, {\"cell\": \"Peanut\", \"bbox\": [97, 102, 118, 111]}, {\"cell\": \"3\", \"bbox\": [158, 102, 163, 111]}, {\"cell\": \"0\", \"bbox\": [221, 102, 226, 111]}, {\"cell\": \"-\", \"bbox\": [285, 102, 289, 111]}, {\"cell\": \"Yes \", \"bbox\": [334, 102, 346, 111]}, {\"cell\": \"No\", \"bbox\": [383, 102, 393, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [424, 102, 434, 111]}, {\"cell\": \"Milk\", \"bbox\": [473, 102, 487, 111]}, {\"cell\": \"No prior ingestion\", \"bbox\": [541, 102, 593, 111]}, {\"cell\": \"Negative \", \"bbox\": [632, 102, 658, 111]}, {\"cell\": \"11\", \"bbox\": [0, 110, 9, 118]}, {\"cell\": \"10\", \"bbox\": [39, 110, 47, 118]}, {\"cell\": \"F\", \"bbox\": [76, 110, 82, 118]}, {\"cell\": \"Almond\", \"bbox\": [95, 110, 120, 118]}, {\"cell\": \"2\", \"bbox\": [158, 110, 163, 118]}, {\"cell\": \"0\", \"bbox\": [221, 110, 226, 118]}, {\"cell\": \"0.21\", \"bbox\": [280, 110, 293, 118]}, {\"cell\": \"Yes \", \"bbox\": [334, 110, 346, 118]}, {\"cell\": \"No\", \"bbox\": [383, 110, 393, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [424, 110, 434, 118]}, {\"cell\": \"Peanut\", \"bbox\": [469, 110, 490, 118]}, {\"cell\": \"No prior ingestion\", \"bbox\": [541, 110, 593, 118]}, {\"cell\": \"Negative \", \"bbox\": [632, 110, 658, 118]}, {\"cell\": \"12\", \"bbox\": [0, 117, 9, 125]}, {\"cell\": \"12\", \"bbox\": [39, 117, 47, 125]}, {\"cell\": \"M\", \"bbox\": [75, 117, 83, 125]}, {\"cell\": \"Almond\", \"bbox\": [95, 117, 120, 125]}, {\"cell\": \"3\", \"bbox\": [158, 117, 163, 125]}, {\"cell\": \"0\", \"bbox\": [221, 117, 226, 125]}, {\"cell\": \"0.34\", \"bbox\": [280, 117, 293, 125]}, {\"cell\": \"Yes \", \"bbox\": [334, 117, 346, 125]}, {\"cell\": \"No \", \"bbox\": [383, 117, 393, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [424, 117, 434, 125]}, {\"cell\": \"Egg, peanut, wheat\", \"bbox\": [453, 117, 507, 125]}, {\"cell\": \"No prior ingestion\", \"bbox\": [541, 117, 593, 125]}, {\"cell\": \"Negative\", \"bbox\": [632, 117, 658, 125]}, {\"cell\": \"13\", \"bbox\": [0, 125, 9, 133]}, {\"cell\": \"15\", \"bbox\": [39, 125, 47, 133]}, {\"cell\": \"M\", \"bbox\": [75, 125, 83, 133]}, {\"cell\": \"Peanut\", \"bbox\": [97, 125, 118, 133]}, {\"cell\": \"4\", \"bbox\": [158, 125, 163, 133]}, {\"cell\": \"4\", \"bbox\": [221, 125, 226, 133]}, {\"cell\": \"-\", \"bbox\": [285, 125, 289, 133]}, {\"cell\": \"Yes \", \"bbox\": [334, 125, 346, 133]}, {\"cell\": \"No\", \"bbox\": [383, 125, 393, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [424, 125, 434, 133]}, {\"cell\": \"No\", \"bbox\": [475, 125, 485, 133]}, {\"cell\": \"No prior ingestion\", \"bbox\": [541, 125, 593, 133]}, {\"cell\": \"Negative\", \"bbox\": [632, 125, 658, 133]}, {\"cell\": \"14\", \"bbox\": [0, 132, 9, 140]}, {\"cell\": \"12\", \"bbox\": [39, 132, 47, 140]}, {\"cell\": \"M\", \"bbox\": [75, 132, 83, 140]}, {\"cell\": \"Peanut\", \"bbox\": [97, 132, 118, 140]}, {\"cell\": \"2\", \"bbox\": [158, 132, 163, 140]}, {\"cell\": \"0\", \"bbox\": [221, 132, 226, 140]}, {\"cell\": \"0.55\", \"bbox\": [280, 132, 293, 140]}, {\"cell\": \"Yes \", \"bbox\": [334, 132, 346, 140]}, {\"cell\": \"No\", \"bbox\": [383, 132, 393, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [424, 132, 434, 140]}, {\"cell\": \"Tree nuts\", \"bbox\": [467, 132, 493, 140]}, {\"cell\": \"No prior ingestion\", \"bbox\": [541, 132, 593, 140]}, {\"cell\": \"Negative\", \"bbox\": [632, 132, 658, 140]}, {\"cell\": \"15\", \"bbox\": [0, 140, 9, 148]}, {\"cell\": \"34\", \"bbox\": [39, 140, 47, 148]}, {\"cell\": \"M\", \"bbox\": [75, 140, 83, 148]}, {\"cell\": \"Hazelnut\", \"bbox\": [94, 140, 121, 148]}, {\"cell\": \"2\", \"bbox\": [158, 140, 163, 148]}, {\"cell\": \"0\", \"bbox\": [221, 140, 226, 148]}, {\"cell\": \"1.34\", \"bbox\": [280, 140, 293, 148]}, {\"cell\": \"Yes\", \"bbox\": [334, 140, 346, 148]}, {\"cell\": \"No\", \"bbox\": [383, 140, 393, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [424, 140, 434, 148]}, {\"cell\": \"Walnut, pecan\", \"bbox\": [460, 140, 500, 148]}, {\"cell\": \"No prior ingestion\", \"bbox\": [541, 140, 593, 148]}, {\"cell\": \"Negative \", \"bbox\": [632, 140, 658, 148]}, {\"cell\": \"16\", \"bbox\": [0, 147, 9, 155]}, {\"cell\": \"25\", \"bbox\": [39, 147, 47, 155]}, {\"cell\": \"M\", \"bbox\": [75, 147, 83, 155]}, {\"cell\": \"Walnut\", \"bbox\": [97, 147, 119, 155]}, {\"cell\": \"3\", \"bbox\": [158, 147, 163, 155]}, {\"cell\": \"0\", \"bbox\": [221, 147, 226, 155]}, {\"cell\": \"0.1\", \"bbox\": [282, 147, 292, 155]}, {\"cell\": \"Yes \", \"bbox\": [334, 147, 346, 155]}, {\"cell\": \"No\", \"bbox\": [383, 147, 393, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [424, 147, 435, 155]}, {\"cell\": \"Egg, peanut\", \"bbox\": [463, 147, 497, 155]}, {\"cell\": \"No prior ingestion\", \"bbox\": [541, 147, 593, 155]}, {\"cell\": \"Negative \", \"bbox\": [632, 147, 658, 155]}, {\"cell\": \"17\", \"bbox\": [0, 155, 9, 163]}, {\"cell\": \"27\", \"bbox\": [39, 155, 47, 163]}, {\"cell\": \"M\", \"bbox\": [75, 155, 83, 163]}, {\"cell\": \"Cashew\", \"bbox\": [96, 155, 119, 163]}, {\"cell\": \"5\", \"bbox\": [158, 155, 163, 163]}, {\"cell\": \"4\", \"bbox\": [221, 155, 226, 163]}, {\"cell\": \"0.37\", \"bbox\": [280, 155, 293, 163]}, {\"cell\": \"Yes \", \"bbox\": [334, 155, 346, 163]}, {\"cell\": \"No\", \"bbox\": [383, 155, 393, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [424, 155, 435, 163]}, {\"cell\": \"Egg, peanut\", \"bbox\": [463, 155, 497, 163]}, {\"cell\": \"No prior ingestion\", \"bbox\": [541, 155, 593, 163]}, {\"cell\": \"Negative\", \"bbox\": [632, 155, 658, 163]}, {\"cell\": \"18\", \"bbox\": [0, 162, 9, 170]}, {\"cell\": \"8\", \"bbox\": [41, 162, 46, 170]}, {\"cell\": \"F\", \"bbox\": [76, 162, 82, 170]}, {\"cell\": \"Peanut\", \"bbox\": [97, 162, 118, 170]}, {\"cell\": \"1\", \"bbox\": [158, 162, 163, 170]}, {\"cell\": \"0\", \"bbox\": [221, 162, 226, 170]}, {\"cell\": \"0.1\", \"bbox\": [282, 162, 292, 170]}, {\"cell\": \"Yes \", \"bbox\": [334, 162, 346, 170]}, {\"cell\": \"No \", \"bbox\": [383, 162, 393, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [424, 162, 434, 170]}, {\"cell\": \"No\", \"bbox\": [475, 162, 485, 170]}, {\"cell\": \"Eczema flare, itching, irritability\", \"bbox\": [523, 162, 612, 170]}, {\"cell\": \"Negative \", \"bbox\": [632, 162, 658, 170]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC6024989_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
Gene symbolAccession no.Primer sequences from 5′to 3′Size (bp)
RNA18SNR 003286.2[EMPTY_CELL]153
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
POU5F1NM 002701.4[EMPTY_CELL]381
(OCT4A)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
IL6NM 000600.3[EMPTY_CELL]175
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
IL6RNM 000565.3[EMPTY_CELL]198
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
IL6STNM 002184.3[EMPTY_CELL]246
(gp130)[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
CXCR4NM 001008540.1[EMPTY_CELL]94
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
MMP2NM 004530.4[EMPTY_CELL]153
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
MMP9NM 004994.2[EMPTY_CELL]179
[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
\", \"cells\": [{\"cell\": \"Gene symbol\", \"bbox\": [0, 7, 29, 28]}, {\"cell\": \"Accession no.\", \"bbox\": [40, 7, 91, 16]}, {\"cell\": \"Primer sequences from 5′to 3′\", \"bbox\": [109, 7, 218, 16]}, {\"cell\": \"Size (bp)\", \"bbox\": [232, 7, 249, 28]}, {\"cell\": \"RNA18S\", \"bbox\": [0, 38, 30, 47]}, {\"cell\": \"NR 003286.2\", \"bbox\": [43, 38, 89, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 38, 227, 46]}, {\"cell\": \"153\", \"bbox\": [234, 38, 248, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 50, 227, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"POU5F1\", \"bbox\": [0, 61, 31, 70]}, {\"cell\": \"NM 002701.4\", \"bbox\": [43, 61, 89, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [99, 61, 229, 69]}, {\"cell\": \"381\", \"bbox\": [233, 61, 248, 69]}, {\"cell\": \"(OCT4A)\", \"bbox\": [0, 73, 31, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 73, 226, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"IL6\", \"bbox\": [0, 84, 13, 93]}, {\"cell\": \"NM 000600.3\", \"bbox\": [42, 84, 90, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 84, 227, 92]}, {\"cell\": \"175\", \"bbox\": [234, 84, 248, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [103, 96, 225, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"IL6R\", \"bbox\": [0, 107, 18, 116]}, {\"cell\": \"NM 000565.3\", \"bbox\": [42, 107, 90, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 107, 227, 115]}, {\"cell\": \"198\", \"bbox\": [234, 107, 248, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 119, 227, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"IL6ST\", \"bbox\": [0, 130, 21, 139]}, {\"cell\": \"NM 002184.3\", \"bbox\": [42, 130, 90, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 130, 227, 138]}, {\"cell\": \"246\", \"bbox\": [233, 130, 248, 138]}, {\"cell\": \"(gp130)\", \"bbox\": [0, 142, 27, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 142, 228, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CXCR4\", \"bbox\": [0, 153, 26, 162]}, {\"cell\": \"NM 001008540.1\", \"bbox\": [36, 153, 95, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [99, 153, 229, 161]}, {\"cell\": \"94\", \"bbox\": [238, 153, 248, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 164, 228, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"MMP2\", \"bbox\": [0, 176, 25, 185]}, {\"cell\": \"NM 004530.4\", \"bbox\": [42, 176, 90, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 176, 227, 184]}, {\"cell\": \"153\", \"bbox\": [234, 176, 248, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 187, 226, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"MMP9\", \"bbox\": [0, 199, 25, 208]}, {\"cell\": \"NM 004994.2\", \"bbox\": [42, 199, 90, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 199, 228, 206]}, {\"cell\": \"179\", \"bbox\": [234, 199, 248, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 210, 226, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3988380_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."} {"messages": [{"role": "user", "content": "\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"
[EMPTY_CELL]Origin HH (resident) %Origin HH (non-resident) %Different HH in DSA %Total %p-valueb
1+ migrationc[EMPTY_CELL]8067750.56
Periods of co-residency with migrant parent in DSA since 1/1/2000 for children born before the start of their parent's migrationd:[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]
1+[EMPTY_CELL]561659[EMPTY_CELL]
0[EMPTY_CELL]448441[EMPTY_CELL]
Of children born before the start of their parent's migration who have had 0 periods of co-residency with migrant parent in DSA since 1/1/2000e:[EMPTY_CELL][EMPTY_CELL][EMPTY_CELL][EMPTY_CELL]0.24
Migrant parent never resident in DSA since 1/1/2000[EMPTY_CELL]766784[EMPTY_CELL]
\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Origin HH (resident) %\", \"bbox\": [244, 6, 284, 36]}, {\"cell\": \"Origin HH (non-resident) %\", \"bbox\": [294, 6, 345, 36]}, {\"cell\": \"Different HH in DSA %\", \"bbox\": [355, 6, 388, 36]}, {\"cell\": \"Total %\", \"bbox\": [398, 16, 417, 36]}, {\"cell\": \"p-valueb\", \"bbox\": [427, 24, 459, 36]}, {\"cell\": \"1+ migrationc\", \"bbox\": [1, 40, 57, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 42, 261, 53]}, {\"cell\": \"80\", \"bbox\": [314, 42, 325, 53]}, {\"cell\": \"67\", \"bbox\": [366, 42, 377, 53]}, {\"cell\": \"75\", \"bbox\": [402, 42, 413, 53]}, {\"cell\": \"0.56\", \"bbox\": [434, 42, 452, 53]}, {\"cell\": \"Periods of co-residency with migrant parent in DSA since 1/1/2000 for children born before the start of their parent's migrationd:\", \"bbox\": [1, 53, 234, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 53, 277, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 1+\", \"bbox\": [8, 86, 20, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 86, 261, 97]}, {\"cell\": \"56\", \"bbox\": [314, 86, 325, 97]}, {\"cell\": \"16\", \"bbox\": [366, 86, 377, 97]}, {\"cell\": \"59\", \"bbox\": [402, 86, 413, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 0\", \"bbox\": [8, 97, 15, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 97, 261, 108]}, {\"cell\": \"44\", \"bbox\": [314, 97, 325, 108]}, {\"cell\": \"84\", \"bbox\": [366, 97, 377, 108]}, {\"cell\": \"41\", \"bbox\": [402, 97, 413, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Of children born before the start of their parent's migration who have had 0 periods of co-residency with migrant parent in DSA since 1/1/2000e:\", \"bbox\": [0, 108, 234, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.24\", \"bbox\": [434, 108, 452, 119]}, {\"cell\": \"Migrant parent never resident in DSA since 1/1/2000\", \"bbox\": [1, 141, 216, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 141, 261, 152]}, {\"cell\": \"76\", \"bbox\": [314, 141, 325, 152]}, {\"cell\": \"67\", \"bbox\": [366, 141, 377, 152]}, {\"cell\": \"84\", \"bbox\": [402, 141, 413, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4430828_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}